JOBNAME: No Job Name PAGE: 1 SESS: 54 OUTPUT: Tue Nov 8 14:08:31 1994 /pssw01/disk2/economic/rc92a/52/01cvr

Census of

Retail Trade

RC92-A-52

GEOGRAPHIC AREA SERIES

United States

U.S. Department of Commerce

Economics and Statistics Administration

BUREAU OF THE CENSUS
 JOBNAME: No Job Name PAGE: 2 SESS: 54 OUTPUT: Tue Nov 8 14:08:31 1994 /pssw01/disk2/economic/rc92a/52/01cvr

Census of

Retail Trade

RC92-A-52

GEOGRAPHIC AREA SERIES

United States

U.S. Department of Commerce

Ronald H. Brown, Secretary

David J. Barram, Deputy Secretary

Economics and Statistics Administration

Everett M. Ehrlich, Under Secretary

for Economic Affairs

BUREAU OF THE CENSUS

Martha Farnsworth Riche, Director

Issued November 1994
 JOBNAME: No Job Name PAGE: 1 SESS: 27 OUTPUT: Fri Oct 14 16:10:59 1994 /pssw01/disk2/economic/rc92a/0/02ack

Many persons participated in the various activities of the 1992 Census of Retail Trade. The

overall planning and review of the census operations were performed by the Economic Census

Staff of the Economic Planning and Coordination Division.

This report was prepared in the Services Division. Bobby E. Russell,Assistant Chief for Census

Programs, was responsible for the overall planning, management, and coordination of

the census of retail trade. Planning and implementation were under the direction of

Anne S. Russell, Chief, Retail Census Branch, with primary staff assistance by Fay Dorsett,

Charles F. Brady, Pamela J. Palmer, Thomas G. Dassel, Jennifer E. Lins,

Cheryl E. Merkle, Barbara T. Parlett, Maria P. Ray, Barbara A. Collier, Venita L. Holland,

and Judith O. Belt.

Systems and procedures for mailout, receipt, correspondence, data input, industry classification, other clerical processing, administrative record processing, quality control, and the associated

electronic computer programs, were developed in the Economic Planning and Coordination

Division.

Mailout preparation and receipt operations, clerical and analytical review activities, data keying,

and geocoding review were performed by the staff of the Data Preparation Division, Judith N.

Petty, Acting Chief.

Geographic coding procedures and associated computer programs were developed by the staff

of the Geography Division.

The computer processing systems were developed and coordinated in the Economic Statistical

Methods and Programming Division, Charles P. Pautler, Jr.,Chief. H. Ray Dennis, Assistant Chief

for Business Programs, was responsible for the design and implementation of the computer

systems. The computer programs were prepared under the supervision of Steven G. McCraith,

Chief, Utilities and Financial Census Branch, and William C. Wester, Chief, Business Census

Branch, assisted by Barbara L. Lambert, Diane A. Conley, Mark T. Lachendro, Leatrice D.

Hines, and David H. Hiller. Additional programming assistance was provided by Robert S.

Jewett.

Computer processing was performed in the Computer Services Division, Marvin D. Raines,

Chief.

The staff of the Administrative and Publications Services Division, Walter C. Odom, Chief,

performed planning, design, composition, editorial review, and printing planning and procurement

for publications and report forms. Bernadette J. Gayle provided publication coordination and

editing.

Special acknowledgment is also due the many businesses whose cooperation has contributed

to the publication of these data.

If you have any questions concerning the statistics in this report, call 301-763-7038.

Acknowledgments
 JOBNAME: No Job Name PAGE: 1 SESS: 33 OUTPUT: Wed Oct 12 08:21:39 1994 /pssw01/disk2/economic/rc92a/0/04rstr

SERVICES DIVISION

Carole A. Ambler, Chief

BUREAU OF THE CENSUS

Martha Farnsworth Riche, Director

Harry A. Scarr, Deputy Director

Paula J. Schneider, Principal Associate

Director for Programs

Thomas L. Mesenbourg, Acting Associate

Director for Economic Programs

Thomas L. Mesenbourg, Assistant Director

for Economic Programs

ECONOMIC PLANNING AND COORDINATION

DIVISION

John P. Govoni, Chief

Economics and Statistics

Administration

Everett M. Ehrlich, Under Secretary

for Economic Affairs

For sale by Superintendent of Documents, U.S. Government Printing Office, Washington, DC 20402.
 JOBNAME: No Job Name PAGE: 1 SESS: 47 OUTPUT: Mon May 2 14:22:29 1994 /pssw01/disk2/economic/rc92a/0/history

Introduction to

the Economic Census

PURPOSES AND USES OF THE ECONOMIC

CENSUS

The economic census is the major source of facts about

the structure and functioning of the Nation’s economy. It

provides essential information for government, business,

industry, and the general public.

The economic census furnishes an important part of the

framework for such composite measures as the gross

domestic product, input/output measures, production and

price indexes, and other statistical series that measure

short-term changes in economic conditions.

Policymaking agencies of the Federal Government use

the data, especially in monitoring economic activity and

providing assistance to business.

State and local governments use the data to assess

business activities and tax bases within their jurisdictions

and to develop programs to attract business.

Trade associations study trends in their own and competing industries and keep their members informed of

market changes.

Individual businesses use the data to locate potential

markets and to analyze their own production and sales

performance relative to industry or area averages.

AUTHORITY AND SCOPE

Title 13 of the United States Code (sections 131, 191,

and 224) directs the Census Bureau to take the economic

census every 5 years, covering years ending in 2 and 7.

The 1992 Economic Census consists of the following eight

censuses:

• Census of Retail Trade

• Census of Wholesale Trade

• Census of Service Industries

• Census of Financial, Insurance, and Real Estate

Industries

• Census of Transportation, Communications, and

Utilities

• Census of Manufactures

• Census of Mineral Industries

• Census of Construction Industries

Special programs also cover enterprise statistics and

minority-owned and women-owned businesses. (The 1992

Census of Agriculture and 1992 Census of Governments

are conducted separately.) The next economic census is

scheduled to be taken in 1998 covering the year 1997.

AVAILABILITY OF THE DATA

The results of the economic census are available in

printed reports for sale by the U.S. Government Printing

Office and on compact discs for sale by the Census

Bureau. Order forms for all types of products are available

on request from Customer Services, Bureau of the Census,

Washington, DC 20233-8300. A more complete description of publications being issued from this census is on the

inside back cover of this document.

Census facts are also widely disseminated by trade

associations, business journals, and newspapers. Volumes containing census statistics are available in most

major public and college libraries. Finally, State data

centers in every State as well as business and industry

data centers in many States also supply economic census

statistics.

WHAT’S NEW IN 1992

The 1992 Economic Census covers more of the economy

than any previous census. New for 1992 are data on

communications, utilities, finance, insurance, and real estate,

as well as coverage of more transportation industries. The

economic, agriculture, and governments censuses now

collectively cover nearly 98 percent of all economic activity.

Among other changes, new 1992 definitions affect the

boundaries of about a third of all metropolitan areas. Also,

the Survey of Women-Owned Businesses has now been

expanded to include all corporations.

HISTORICAL INFORMATION

The economic census has been taken as an integrated

program at 5-year intervals since 1967 and before that for

1963, 1958, and 1954. Prior to that time, the individual

subcomponents of the economic census were taken separately at varying intervals.

RETAIL TRADE—GEOGRAPHIC AREA SERIES INTRODUCTION III
 JOBNAME: No Job Name PAGE: 2 SESS: 45 OUTPUT: Mon May 2 14:22:29 1994 /pssw01/disk2/economic/rc92a/0/history

The economic census traces its beginnings to the 1810

Decennial Census, when questions on manufacturing were

included with those for population. Coverage of economic

activities was expanded for 1840 and subsequent censuses to include mining and some commercial activities. In

1902, Congress established a permanent Census Bureau

and directed that a census of manufactures be taken every

5 years. The 1905 Manufactures Census was the first time

a census was taken apart from the regular every-10-year

population census.

The first census of business was taken in 1930, covering 1929. Initially it covered retail and wholesale trade and

construction industries, but it was broadened in 1933 to

include some of the service trades.

The 1954 Economic Census was the first census to be

fully integrated—providing comparable census data across

economic sectors, using consistent time periods, concepts, definitions, classifications, and reporting units. It

was the first census to be taken by mail, using lists of firms

provided by the administrative records of other Federal

agencies. Since 1963, administrative records also have

been used to provide basic statistics for very small firms,

reducing or eliminating the need to send them census

questionnaires. The Enterprise Statistics Program, which

publishes combined data from the economic census, was

made possible with the implementation of the integrated

census program in 1954.

The range of industries covered in the economic censuses has continued to expand. The census of construction industries began on a regular basis in 1967, and the

scope of service industries was broadened in 1967, 1977,

and 1987. The census of transportation began in 1963 as

a set of surveys covering travel, transportation of commodities, and trucks, but expanded in 1987 to cover business

establishments in several transportation industries. For

1992, these statistics are incorporated into a broadened

census of transportation, communications, and utilities.

Also new for 1992 is the census of financial, insurance,

and real estate industries. This is part of a gradual expansion in coverage of industries previously subjected to

government regulation.

The Survey of Minority-Owned Business Enterprises

was first conducted as a special project in 1969 and was

incorporated into the economic census in 1972 along with

the Survey of Women-Owned Businesses.

An economic census has also been taken in Puerto

Rico since 1909, in the Virgin Islands of the United States

and Guam since 1958, and in the Commonwealth of the

Northern Mariana Islands since 1982.

Statistical reports from the 1987 and earlier censuses

provide historical figures for the study of long-term time

series and are available in some large libraries. All of the

census data published since 1967 are still available for

sale on microfiche from the Census Bureau.

AVAILABILITY OF MORE FREQUENT

ECONOMIC DATA

While the census provides complete enumerations every

5 years, there are many needs for more frequent data as

well. The Census Bureau conducts a number of monthly,

quarterly, and annual surveys, with the results appearing in

publication series such as Current Business Reports (retail

and wholesale trade and service industries), the Annual

Survey of Manufactures, Current Industrial Reports, and

the Quarterly Financial Report. Most of these surveys,

while providing more frequent observations, yield less

kind-of-business and geographic detail than the census.

The County Business Patterns program offers annual

statistics on the number of establishments, employment,

and payroll classified by industry within each county.

SOURCES FOR MORE INFORMATION

More information about the scope, coverage, classification system, data items, and publications for each of the

economic censuses and related surveys is published in the

Guide to the 1992 Economic Census and Related Statistics. More information on the methodology, procedures,

and history of the census will be published in the History of

the 1992 Economic Census. Contact Customer Services

for information on availability.

IV INTRODUCTION RETAIL TRADE—GEOGRAPHIC AREA SERIES
 JOBNAME: No Job Name PAGE: 1 SESS: 29 OUTPUT: Tue Jul 12 15:21:37 1994 /pssw01/disk2/economic/rc92a/0/07txtint

Census of Retail Trade

GENERAL

The 1992 Census of Retail Trade, part of the 1992

Economic Census, covered retail trade as defined in the

Standard Industrial Classification Manual: 19871 (SIC). It

included all establishments primarily engaged in selling

merchandise for personal or household consumption and

rendering services incidental to the sale of the goods. The

census excluded governmental organizations classified in

the covered industries except for liquor stores operated by

State and local governments. Data for direct sellers (SIC

5963) with no paid employees and post exchanges, ship

stores, and similar establishments operated on military

posts by agencies of the Federal Government were not

included. The basic tabulations in this report do not include

data for establishments which are auxiliary (primary function is providing a service, such as warehouses) to retail

establishments within the same organization. Data for

auxiliaries are presented in a subsequent report issued as

part of the 1992 Enterprise Statistics reports.

For the 1992 Census of Retail Trade, large- and mediumsize firms, plus all firms known to operate more than one

establishment, were sent questionnaires to be completed

and returned to the Census Bureau by mail. For most very

small firms, including those with no paid employees, data

from existing administrative records of other Federal agencies were used instead. These records provided basic

information on location, kind of business, sales, payroll,

number of employees, and legal form of organization. In

addition, more detailed information for selected kinds of

business was obtained on the various questionnaires.

Appendix A gives a more detailed explanation of census

coverage and methodology.

CENSUS DISCLOSURE RULES

In accordance with Federal law governing census reports,

no data are published that would disclose the operations of

an individual establishment or business. However, the

number of establishments in a kind-of-business classification is not considered a disclosure; therefore, this information may be released even though other information is

withheld.

GEOGRAPHIC AREAS COVERED

This report series presents data for the following areas:

1. The United States as a whole.

2. Each State and the District of Columbia.

3. Each consolidated metropolitan statistical area (CMSA)

and primary metropolitan statistical area (PMSA) defined

by the Office of Management and Budget (OMB) as of

June 30, 1993. A CMSA is an area used to facilitate

the presentation and analysis of data for large concentrations of metropolitan populations. It includes

two or more contiguous PMSA’s which have a population of at least 1,000,0002 and which meet specific

criteria of urban character and of social and economic

integration.

4. Each metropolitan statistical area (MSA) defined by

the OMB as of June 30, 1993. An MSA is an integrated

economic and social unit with a population nucleus of

at least 50,000 inhabitants.2 Each MSA consists of

one or more counties meeting standards of metropolitan character; in New England, cities and towns rather

than counties are the component geographic units.

5. The area within the State outside metropolitan areas

(MA’s).

6. Each county or county equivalent.3 Counties are the

primary divisions of States, except in Louisiana where

they are called parishes and in Alaska where they are

called boroughs and census areas. Maryland, Missouri, Nevada, and Virginia have one place or more

that is independent of any county organization and

constitutes primary divisions of their States. These

places are treated as counties and as places.

7. Each consolidated city.3 Consolidated cities are consolidated governments which consist of separately

incorporated municipalities.

8. Each municipality of 2,500 inhabitants or more incorporated as a city, borough, village, or town.2 3 For

the economic census, boroughs and census areas in

Alaska and boroughs in New York are not included in

this category.

1

Standard Industrial Classification Manual: 1987. For sale by Superintendent of Documents, U.S. Government Printing Office, Washington,

DC 20402. Stock No. 041-001-00314-2.

2

According to the 1990 Census of Population or subsequent special

census. 3

Those defined as of January 1, 1992.

RETAIL TRADE—GEOGRAPHIC AREA SERIES CENSUS OF RETAIL TRADE V
 JOBNAME: No Job Name PAGE: 2 SESS: 29 OUTPUT: Tue Jul 12 15:21:37 1994 /pssw01/disk2/economic/rc92a/0/07txtint

9. Special economic urban areas (SEUA’s), which include

townships in Michigan, New Jersey, and Pennsylvania

and towns in New York, Wisconsin, and the six New

England States with 10,000 inhabitants or more.4

DOLLAR VALUES

All dollar values presented in this report are expressed

in current dollars; i.e., 1992 data are expressed in 1992

dollars and 1987 data in 1987 dollars. Consequently, when

making comparisons to prior years, users of the data

should consider the inflation that has occurred.

RELIABILITY OF DATA

All data compiled in this report originated from either

census questionnaires or administrative records of other

Federal agencies and, therefore, are not subject to sampling errors. However, the data are subject to nonsampling

errors. Nonsampling errors can be attributed to many

sources: inability to identify all cases in the actual universe;

definition and classification difficulties; differences in the

interpretation of questions; errors in recording or coding

the data obtained; and other errors of collection, response, coverage, and estimation for missing or misreported data.

The accuracy of these tabulated data is determined by

the joint effects of the various nonsampling errors. No

direct measurement of these effects has been obtained

except for estimation for missing or misreported data;

however, precautionary steps were taken in all phases of

the collection, processing, and tabulation of the data in an

effort to minimize the effects of nonsampling errors.

The Census Bureau obtains on computer tape limited

information extracted from administrative records of other

Federal agencies. This information is used in conjunction

with other information available to the Census Bureau to

develop estimates for nonemployers, small employers,

and other establishments for which responses were not

received in time for publication. For an indication of the

extent that data included in these reports were obtained

from the administrative records of other Federal agencies

and from estimation, rather than reports directly from

respondents, see appendix E. Also, see appendix A for a

more detailed explanation of census coverage and methodology.

SPECIAL TABULATIONS

Special tabulations of data collected in the 1992 Census

of Retail Trade may be obtained, depending on availability

of time and personnel, on diskette, computer tape, or in

tabular form. The data will be in summary form and subject

to the same rules prohibiting disclosure of confidential

information (including name, address, kind of business, or

other data for individual business establishments or companies) as are the regular publications.

Special tabulations are prepared on a cost basis. A

request for a cost estimate, as well as exact specifications

on the type and format of the data to be provided, should

be directed to the Chief, Services Division, Bureau of the

Census, Washington, DC 20233.

To discuss a special tabulation before submitting specifications, call 1-800-541-8345.

ABBREVIATIONS AND SYMBOLS

The following abbreviations and symbols are used in

this publication:

– Represents zero.

(D) Withheld to avoid disclosing data for individual

companies; data are included in broader kindof-business totals.

(IC) Independent city.

(NA) Not available.

(NC) Not comparable.

(X) Not applicable.

CMSA Consolidated metropolitan statistical area.

MA Metropolitan area.

MSA Metropolitan statistical area.

n.e.c. Not elsewhere classified.

PMSA Primary metropolitan statistical area.

pt. Part.

r Revised.

SIC Standard industrial classification.

The following symbols are used in this publication to

show employment size ranges for employment data that

has been withheld to avoid disclosing data for individual

companies (employment size range codes are provided for

the first time in the 1992 Economic Census):

Symbol Employment Size

AA 0–19

BB 20–99

CC 100–249

EE 250–499

FF 500–999

GG 1,000–2,499

HH 2,500–4,999

II 5,000–9,999

JJ 10,000–24,999

KK 25,000–49,999

LL 50,000–99,999

MM 100,000 or more

4

According to the 1990 Census of Population or subsequent special

census.

VI CENSUS OF RETAIL TRADE RETAIL TRADE—GEOGRAPHIC AREA SERIES
 JOBNAME: No Job Name PAGE: 1 SESS: 9 OUTPUT: Thu Jan 27 14:57:34 1994 /pssw01/disk2/economic/rc92a/0/07tblgui

Users’ Guide for Locating Statistics in This Report

by Table Number

Information shown in tables

Table

1 2 3 4 5 6 7 8 9 10

GEOGRAPHIC AREAS

The State . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . X X X

CMSA’s and MSA’s in the State . . . . . . . . . . . . . . . X

PMSA’s in the State . . . . . . . . . . . . . . . . . . . . . . . . . . X

Area of the State not in any CMSA, PMSA,

or MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . X

Counties in the State . . . . . . . . . . . . . . . . . . . . . . . . . X 1X X

Places in the State . . . . . . . . . . . . . . . . . . . . . . . . . . . 2X 1X 2X

DATA ITEMS3

Establishments. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . X X X X X X X

Sales . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . X X X X X X X

Annual payroll . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . X X X X X X X

First-quarter payroll . . . . . . . . . . . . . . . . . . . . . . . . . . . X X X X X X

Paid employees for pay period including

March 12, 1992 . . . . . . . . . . . . . . . . . . . . . . . . . . . . X X X X X X X

Sales per establishment. . . . . . . . . . . . . . . . . . . . . . . X

Sales per employee . . . . . . . . . . . . . . . . . . . . . . . . . . X

Annual payroll per employee. . . . . . . . . . . . . . . . . . . X

Employees per establishment. . . . . . . . . . . . . . . . . . X

1987 to 1992 comparative statistics

(establishments, sales, payroll, employees). . . . . X

Counties ranked by volume of 1992 sales. . . . . . . X

Places ranked by volume of 1992 sales. . . . . . . . . 2X

1

Includes areas with 350 retail establishments or more.

2

Includes places with 2,500 inhabitants or more, according to the 1990 Census of Population or subsequent special census.

3

See Explanation of Terms, appendix A.

RETAIL TRADE—GEOGRAPHIC AREA SERIES USERS’ GUIDE VII
 JOBNAME: No Job Name PAGE: 1 SESS: 18 OUTPUT: Thu Mar 17 15:05:09 1994 /pssw01/disk2/economic/rc92a/0/07txtgui7

Users’ Guide for Locating Statistics in the

1992 Census of Retail Trade Reports

Report and geographic area

Information shown in reports by kind of business or industry category

Number

of establishments

Sales

($1,000)

Payroll

($1,000)

Number

of employees

Selected

ratios

and

rankings

Merchandise

line

sales

Sales

size and

employment

size of

establishments

and

firms

Concentration

ratios of

largest

firms

Single

units

and

multiunits

Legal

form of

organizationSelected

topics

GEOGRAPHIC AREA SERIES

United States . . . . . . . . . . . . . . . . . X X X X X

State. . . . . . . . . . . . . . . . . . . . . . . . . X X X X X

CMSA, PMSA, MSA . . . . . . . . . . . X X X X X

County . . . . . . . . . . . . . . . . . . . . . . . X X X X X

Place . . . . . . . . . . . . . . . . . . . . . . . . X X X X X

NONEMPLOYER STATISTICS

SERIES

United States . . . . . . . . . . . . . . . . . 1

X 1X 2X X

State. . . . . . . . . . . . . . . . . . . . . . . . . 1X 1X

CMSA, PMSA, MSA . . . . . . . . . . . X X

County . . . . . . . . . . . . . . . . . . . . . . . 1 3X 1 3X

Place . . . . . . . . . . . . . . . . . . . . . . . . 1 3X 1 3X

ESTABLISHMENT AND FIRM

SIZE (INCLUDING LEGAL

FORM OF ORGANIZATION)

United States . . . . . . . . . . . . . . . . . X X X X X X X X

MEASURES OF VALUE

PRODUCED, CAPITAL

EXPENDITURES,

DEPRECIABLE ASSETS, AND

OPERATING EXPENSES

United States . . . . . . . . . . . . . . . . . X X X 4X

MERCHANDISE LINE SALES

United States . . . . . . . . . . . . . . . . . X X X

State. . . . . . . . . . . . . . . . . . . . . . . . . 3

X 3X 3X

CMSA, PMSA, MSA . . . . . . . . . . . 3

X 3X 3X

MISCELLANEOUS SUBJECTS

United States . . . . . . . . . . . . . . . . . X X X X 5X

State. . . . . . . . . . . . . . . . . . . . . . . . . X X X X 5X

CMSA, PMSA, MSA . . . . . . . . . . . X X X X 5X

ZIP CODES

State. . . . . . . . . . . . . . . . . . . . . . . . . 3X 3X 3X 3X 3X

See footnotes at end of table.

VIII USERS’ GUIDE RETAIL TRADE—GEOGRAPHIC AREA SERIES
 JOBNAME: No Job Name PAGE: 2 SESS: 17 OUTPUT: Thu Mar 17 15:05:09 1994 /pssw01/disk2/economic/rc92a/0/07txtgui7

Report and geographic area

Information shown in reports by kind of business or industry category

Number

of establishments

Sales

($1,000)

Payroll

($1,000)

Number

of employees

Selected

ratios

and

rankings

Merchandise

line

sales

Sales

size and

employment

size of

establishments

and

firms

Concentration

ratios of

largest

firms

Single

units

and

multiunits

Legal

form of

organizationSelected

topics

SPECIAL REPORT

SERIES—SELECTED

STATISTICS

United States . . . . . . . . . . . . . . . . 1X 1X X X X 6 7X

State. . . . . . . . . . . . . . . . . . . . . . . . . X X X X X 6 7X

CMSA, MSA . . . . . . . . . . . . . . . . . . X X X X X 6 7X

1

Includes data for all establishments, establishments with payroll, and establishments without payroll, by kind of business.

2

Data available by sales size of establishments without payroll only.

3

Data available on CD-ROM only.

4

Includes value produced, capital expenditures, depreciable assets, and selected operating expenses detail.

5

For United States, States, and MA’s, includes data on number of gasoline pumps and gallon sales of gasoline and other automotive fuels; storage

capacity and number of tanks; establishments offering self-service sale of gasoline; on seating capacity and average cost per meal; on the number of

pharmacists, number of prescriptions filled, and percent of prescriptions paid for by third parties; and floor space by selected kind of business. For United

States and States only, includes data on number of automotive service bays, number of automotive mechanics, number of boat docking/storage slips,

principal type of supplier, gasoline service stations operating 24 hours, shoe stores operating as self-service and concessions, types of food service, types

of menus, percent of food and beverage sales by day-part, franchise holders, concession operators, contract feeding and automatic merchandising

machine operators, number of opticians, part- and full-time employment, class of customer, and leased departments. 6

Includes percent of retail sales in MA’s, in non-MA’s, in central cities, and outside central cities within MA’s.

7

Includes percent of retail sales inside and outside central cities within each individual MA.

RETAIL TRADE—GEOGRAPHIC AREA SERIES USERS’ GUIDE IX
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:25 AM MACHINE: EPCV22 DATA:NONE TAPE: NOreel FRAME: 1

TSF:TIPS92-11244371.DAT;1 11/ 9/94 11:24:53 UTF:TIPS93-11244371.DAT;1 11/ 9/94 11:24:53 META:TIPS96-11244371.DAT;1 11/ 9/94 11:25:21

Contents

United States

[Page numbers listed here omit the prefix that

appears as part of the number of each page]

Page

Introduction to the Economic Census III ...............................................

Census of Retail Trade ........................................................... V

Users’ Guide for Locating Statistics in This Report by Table Number VII ..................

Users’ Guide for Locating Statistics in the 1992 Census of Retail Trade Reports VIII ........

Summary of Findings ............................................................. 2

FIGURES

1. Percent Change in Sales and Annual Payroll: 1987 to 1992 3 ..................... 2. Annual Payroll per Employee: 1992, 1987, and 1982 4 ........................... 3. Percent of Total Retail Sales by Selected Kinds of Business: 1992, 1987,

and 1982 .................................................................. 5

Maps ........................................................................... 7

TABLES

1. Summary Statistics for the State: 1992 11 .......................................

2. Selected Ratios for the State: 1992 13 ..........................................

3. Comparative Statistics for the State: 1992 and 1987 15 ...........................

4. Summary Statistics for Counties and for Places With 2,500 Inhabitants or More:

1992 ...................................................................... 17

5. Summary Statistics for Places With 350 Establishments or More: 1992 38 ...........

6. Summary Statistics for Counties With 350 Establishments or More: 1992 104 .........

7. Summary Statistics for Metropolitan Areas: 1992 105 ...............................

8. Summary Statistics for the Area Outside Metropolitan Areas: 1992 107 ..............

9. Places With 2,500 Inhabitants or More Ranked by Volume of Sales: 1992 1 ........

10. Counties Ranked by Volume of Sales: 1992 1 ...................................

APPENDIXES

A. General Explanation A–1 .........................................................

B. Sample Report Form and Instructions B–1 .........................................

C. Kind-of-Business Titles and Reporting-Form Numbers C–1 ...........................

D. Metropolitan Areas D–1 ..........................................................

E. Percent of Sales Data Based on Administrative Records and Estimation for the

State: 1992 ............................................................... E–1

F. Geographic Notes F–1 ...........................................................

G. Establishments in Business Any Time During Year and Establishments in Business

at End of Year for the State: 1992 and 1987 G–1 .................................

Publication Program Inside back cover ...................................................

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–1
 JOBNAME: No Job Name PAGE: 1 SESS: 2 OUTPUT: Tue Nov 8 14:09:32 1994 /pssw01/disk2/economic/rc92a/52/07txtsum

Summary of Findings

Data from the 1992 Census of Retail Trade show that

the United States’ 1,526,215 retail stores with payroll had

sales totaling $1.9 trillion. In 1987, 1,503,593 retail stores

had sales of $1.5 trillion. The 1992 data represent an

increase of 26.9 percent in total retail sales for the United

States.

For establishments with payroll in 1992, sales of grocery

stores accounted for 18.6 percent of the United States’

total sales by retailers compared with 19.1 percent in 1987.

Other leading retail kinds of business in 1992 were new

and used car dealers with 17.6 percent of sales, department stores (including leased departments) with 10.1

percent, and gasoline service stations with 7.1 percent.

For 1992, sales for establishments with payroll in the

United States averaged $1.2 million per establishment,

compared with $993 thousand in 1987. In 1992, department stores (including leased departments) averaged $17.3

million per establishment; new and used car dealers, $13.7

million; miscellaneous general merchandise stores, $4.5

million; catalog and mail-order houses, $4.4 million; and

lumber and other building materials dealers, $2.7 million.

For retail establishments with payroll, 1992 sales per

employee averaged $103 thousand. New and used car

dealers had sales per employee of $388 thousand, which

contrasts sharply with the $29 thousand per employee

average for restaurants.

The 1992 payroll of retailers in the United States

amounted to $223 billion, compared with $178 billion for

1987. Payroll as a percent of sales of establishments with

payroll averaged 11.8 percent for all retailers, 26.1 percent

for retail bakeries, compared with 5.6 percent for gasoline

service stations.

There were 18,407,453 paid employees (full- and parttime) engaged in retail trade in the United States as of

mid-March 1992, compared with 17,779,942 employees in

1987. Large employers included restaurants with 2,988,535

employees, grocery stores with 2,682,153 employees, and

refreshment places with 2,651,779 employees.

US–2 UNITED STATES RETAIL TRADE—GEOGRAPHIC AREA SERIES
Figure 1. Percent Change in Sales and Annual 

Payroll: 1987 to 1992

Sales

Retail trade

Building materials and

garden supplies stores

(SIC 52)

General merchandise stores

(SIC 53)

Food stores

(SIC 54)

Automotive dealers

 (SIC 55 ex. 554)

Gasoline service stations

(SIC 554)

Apparel and

accessory stores

(SIC 56)

Furniture and

homefurnishings stores

(SIC 57)

Eating and drinking places

 (SIC 58)

Drug and proprietary stores

 (SIC 591)

Miscellaneous retail stores

 (SIC 59 ex. 591)

RETAIL TRADE—GEOGRAPHIC AREA SERIES UNITED STATES US–3

Payroll

26.9

25.5

21.3

20.8

35.4

25.1

22.3

24.8

18.5

10.9

32.1

18.0

31.4

23.8

24.6

19.8

31.3

36.3

44.0

39.9

32.7

31.4

(Includes only establishments with payroll. For meaning of abbreviations and

symbols, see introductory text)
Note: Data are based on 1987 Standard Industrial Classification.

Figure 2. Annual Payroll per Employee: 1992, 1987, and 1982

Retail trade

Building materials and

garden supplies stores

(SIC 52)

General merchandise stores

(SIC 53)

Food stores

(SIC 54)

Automotive dealers

 (SIC 55 ex. 554)

Gasoline service stations

(SIC 554)

Apparel and

accessory stores

(SIC 56)

Furniture and

homefurnishings stores

(SIC 57)

Eating and drinking places

 (SIC 58)

Drug and proprietary stores

 (SIC 591)

Miscellaneous retail stores

 (SIC 59 ex. 591)

 US–4 UNITED STATES RETAIL TRADE—GEOGRAPHIC AREA SERIES

1992

1987

1982

12,107

9,986

17,709

14,602

12,339

11,788

9,777

8,083

12,537

10,446

10,023

25,094

20,891

16,168

11,212

9,140

7,896

10,518

8,675

7,711

16,903

14,096

11,586

8,028

6,325

5,510

15,410

11,289

9,281

13,815

11,057

8,540

9,163

(In dollars. Includes only establishments with payroll. For meaning of abbreviations

and symbols, see introductory text)
1992

Lumber and other building

materials dealers

(SIC 521)

1982

RETAIL TRADE—GEOGRAPHIC AREA SERIES UNITED STATES US–5

1987

Figure 3. Percent of Total Retail Sales by Selected Kinds 

of Business: 1992, 1987, and 1982

Grocery stores

(SIC 541)

Department stores

(incl. leased depts.)

(SIC 531)

New and used car dealers

(SIC 551)

Gasoline service stations

(SIC 554)

Restaurants

(SIC 5812 pt.)

Refreshment places

(SIC 5812 pt.)

Drug and proprietary stores

(SIC 591)

Apparel and

accessory stores

(SIC 56)

Furniture and

homefurnishings stores

(SIC 57)

(NA)

Note: Data are based on 1987 Standard Industrial Classification.

3.6

3.7

10.1

18.6

19.1

17.6

18.8

7.1

6.8

5.4

5.2

4.9

5.0

4.5

4.4

4.1

3.8

4.1

3.5

3.0

21.8

14.9

9.1

5.3

4.4

4.5

3.4

3.6

(Includes only establishments with payroll. For meaning of abbreviations and

symbols, see introductory text)

10.0
Figure 4. States Ranked by Total Retail Sales: 1992

(In billions of dollars. Includes only establishments with payroll)

US-6 UNITED STATES RETAIL TRADE—GEOGRAPHIC AREA SERIES

California 1 224.6

Texas 2

New York 3

Florida 4

Pennsylvania 5

Illinois 6

Ohio 7

Michigan 8

New Jersey 9

Georgia 10

North Carolina 11

Virginia 12

Massachusetts 13

Indiana 14

Washington 15

Wisconsin 16

Missouri 17

Maryland 18

Tennessee 19

Minnesota 20

Arizona 21

Colorado 22

Louisiana 23

Connecticut 24

Alabama 25

Kentucky 26

South Carolina 27

Oregon 28

Oklahoma 29

Iowa 30

Kansas 31

Arkansas 32

Mississippi 33

Utah 34

Nevada 35

Nebraska 36

New Mexico 37

Hawaii 38

West Virginia 39

New Hampshire 40

Maine 41

Idaho 42

Rhode Island 43

Delaware 44

Montana 45

South Dakota 46

Alaska 47

Vermont 48

North Dakota 49

District of Columbia 50

Wyoming 51

11.9

6.9

6.3

6.3

4.6

4.5

4.2

3.8

3.3

2.6

2.6

2.5

2.5

2.2

2.2

2.0

2.0

2.0

2.0

1.9

1.5

1.5

1.5

1.5

1.5

1.3

1.3

1.3

1.1

1.1

0.9

0.8

0.8

0.7

0.6

0.6

0.6

0.6

0.6

0.6

0.5

0.4

0.4

0.3

0.3

0.3

0.3

0.2

0.2

0.2

0.2

Percent of U.S.

retail sales

130.7

118.9

118.7

87.8

85.8

79.0

71.5

63.1

49.9

49.6

48.0

47.7

42.4

40.9

38.4

37.9

37.6

37.5

35.6

29.4

28.5

27.8

27.7

25.3

24.7

24.2

21.2

20.0

17.6

15.9

14.8

12.4

11.5

11.5

11.3

11.3

11.2

11.1

10.3

7.7

6.7

6.5

6.2

5.1

5.0

4.7

4.7

3.6

3.6

27.8
Figure 5. 50 Largest Metropolitan Areas Ranked by Total Retail Sales: 1992

(In billions of dollars. Includes only establishments with payroll and 

ranks only CMSA’s and MSA’s)

RETAIL TRADE—GEOGRAPHIC AREA SERIES UNITED STATES US-7

New York–Northern New Jersey–Long Island, NY–NJ–CT–PA 1 140.7

Los Angeles–Riverside–Orange County, CA 2

Chicago–Gary–Kenosha, IL–IN–WI 3

Washington–Baltimore, DC–MD–VA–WV 4

San Francisco–Oakland–San Jose, CA 5

Philadelphia–Wilmington–Atlantic City, PA–NJ–DE–MD 6

Boston–Worcester–Lawrence, MA–NH–ME–CT 7

Detroit–Ann Arbor–Flint, MI 8

Dallas–Fort Worth, TX 9

Miami–Fort Lauderdale, FL 10

Houston–Galveston–Brazoria, TX 11

Atlanta, GA 12

Seattle–Tacoma–Bremerton, WA 13

Minneapolis–St. Paul, MN–WI 14

Cleveland–Akron, OH 15

San Diego, CA 16

St. Louis, MO–IL 17

Phoenix–Mesa, AZ 18

Tampa–St. Petersburg–Clearwater, FL 19

Denver–Boulder–Greeley, CO 20

Pittsburgh, PA 21

Portland–Salem, OR–WA 22

Cincinnati–Hamilton, OH–KY–IN 23

Milwaukee–Racine, WI 24

Kansas City, MO–KS 25

Indianapolis, IN 26

Orlando, FL 27

Columbus, OH 28

Sacramento–Yolo, CA 29

Norfolk–Virginia Beach–Newport News, VA–NC 30

San Antonio, TX 31

Charlotte–Gastonia–Rock Hill, NC–SC 32

New Orleans, LA 33

Hartford, CT 34

Nashville, TN 35

West Palm Beach–Boca Raton, FL 36

Buffalo–Niagara Falls, NY 37

Greensboro–Winston-Salem–High Point, NC 38

Salt Lake City–Ogden, UT 39

Las Vegas, NV–AZ 40

Honolulu, HI 41

Providence–Fall River–Warwick, RI–MA 42

Memphis, TN–AR–MS 43

Jacksonville, FL 44

Rochester, NY 45

Austin–San Marcos, TX 46

Oklahoma City, OK 47

Louisville, KY–IN 48

Grand Rapids–Muskegon–Holland, MI 49

Raleigh–Durham–Chapel Hill, NC 50

7.4

5.7

3.4

2.9

2.8

2.5

2.4

2.2

1.9

1.7

1.6

1.4

1.4

1.2

1.1

1.0

1.0

1.0

1.0

0.9

0.9

0.8

0.7

0.7

0.7

0.7

0.7

0.6

0.6

0.5

0.5

0.5

0.5

0.5

0.5

0.5

0.5

0.5

0.4

0.4

0.4

0.4

0.4

0.4

0.4

0.4

0.4

0.4

0.4

0.4

Percent of U.S.

retail sales

107.6

64.9

54.3

52.7

46.6

44.5

41.6

35.4

32.2

30.6

26.5

26.4

22.6

20.8

19.2

19.1

18.7

18.5

17.7

17.6

15.5

13.7

12.7

12.7

12.4

12.3

12.2

11.9

10.4

9.8

9.5

9.3

9.2

9.1

9.1

8.8

8.8

8.5

8.4

8.3

8.0

7.8

7.8

7.7

7.7

7.6

7.5

7.3

7.2
TIPS [UPF] BATCH_146 [ACEN,C_ARLEDGE] 10/25/94 12:24 PM MACHINE: EPCV22 DATA:VOL1_TIPS_APXB_01.TIPS;1 * 10/12/94 09:48:00 TAPE: NOreel FRAME: 3

TSF:TIPS92-09482232.DAT;1 10/12/94 09:48:35 UTF:TIPS93-09482232.DAT;1 10/12/94 09:48:36 META:VOL1_TIPS96_APXB_01.DAT;6 10/12/94 09:49:15
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 1

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 1. Summary Statistics for the United States: 1992

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

SIC code Kind of business Establishments

(number)

Sales

($1,000)

Annual payroll

($1,000)

First quarter

payroll

($1,000)

Paid employees

for pay period

including March 12

(number)

Retail trade 1 ----------------------------------------------- 526 215 1 894 880 209 222 867 879 52 223 312 18 407 453

52 Building materials and garden supplies stores 69 --------------------- 483 98 832 146 11 789 798 2 657 997 665 747

521, 3 Building materials and supply stores 35 ------------------------------- 589 74 501 238 8 422 506 1 915 196 435 204 521 Lumber and other building materials dealers 25 ---------------------- 401 68 300 659 7 519 456 1 703 231 386 260 523 Paint, glass, and wallpaper stores 10 ------------------------------- 188 6 200 579 903 050 211 965 48 944

525 Hardware stores 18 ------------------------------------------------- 984 12 290 916 1 871 358 438 233 136 230 526 Retail nurseries, lawn and garden supply stores 10 --------------------- 857 6 327 846 1 017 708 202 910 71 499 527 Manufactured (mobile) home dealers 4 ------------------------------- 053 5 712 146 478 226 101 658 22 814

53 General merchandise stores 34 -------------------------------------- 606 245 329 695 24 502 700 5 730 682 2 078 530

531 Department stores (incl. leased depts.) 1 2 3 ------------------------- 11 001 190 784 927 (NA) (NA) (NA)

531 pt. Conventional 1 2 ------------------------------------------------ 2 388 51 301 393 (NA) (NA) (NA)

531 pt. Discount or mass merchandising 1 2 ------------------------------ 6 737 103 400 585 (NA) (NA) (NA)

531 pt. National chain 1 2----------------------------------------------- 1 876 36 082 949 (NA) (NA) (NA)

531 Department stores (excl. leased depts.) 1 --------------------------- 11 001 186 422 670 20 135 723 4 730 469 1 719 276 531 pt. Conventional 1 ------------------------------------------------- 2 388 49 747 724 6 281 993 1 523 064 484 662 531 pt. Discount or mass merchandising 1 ------------------------------- 6 737 101 270 187 9 602 112 2 192 817 899 398 531 pt. National chain 1 ------------------------------------------------ 1 876 35 404 759 4 251 618 1 014 588 335 216

533 Variety stores --------------------------------------------------- 12 561 9 056 820 1 088 465 248 980 115 861

539 Miscellaneous general merchandise stores 11 ------------------------- 044 49 850 205 3 278 512 751 233 243 393 539 pt. Warehouse clubs 616 ---------------------------------------------- 30 690 547 1 531 305 336 513 90 457 539 pt. Catalog showrooms 917 -------------------------------------------- 6 337 962 476 771 116 794 43 100 539 pt. Other miscellaneous general merchandise stores 9 ------------------ 511 12 821 696 1 270 436 297 926 109 836

54 Food stores ------------------------------------------------------ 180 568 369 198 584 37 227 785 8 889 697 2 969 317

541 Grocery stores 133 -------------------------------------------------- 263 352 558 184 34 425 343 8 238 092 2 682 153 541 pt. Supermarkets and other general-line grocery stores 73 --------------- 357 314 132 652 31 194 647 7 471 257 2 337 897 541 pt. Convenience food stores 30 --------------------------------------- 748 17 310 965 1 617 097 377 706 172 270 541 pt. Convenience food/gasoline stores 23 ------------------------------- 035 19 338 037 1 334 373 323 380 142 183 541 pt. Delicatessens ------------------------------------------------- 6 123 1 776 530 279 226 65 749 29 803

542 Meat and fish (seafood) markets 8 ---------------------------------- 941 5 040 901 555 662 132 331 45 139

546 Retail bakeries -------------------------------------------------- 20 418 5 386 894 1 407 147 331 994 157 136 546 pt. Retail bakeries mbaking and selling 18 ------------------------------ 428 4 829 997 1 311 341 308 613 146 986 546 pt. Retail bakeries mselling only 1 ------------------------------------ 990 556 897 95 806 23 381 10 150

543, 4, 5, 9 Other food stores 17 ------------------------------------------------ 946 6 212 605 839 633 187 280 84 889

543 Fruit and vegetable markets 2 ------------------------------------ 971 1 809 287 198 503 40 880 16 258

544 Candy, nut, and confectionery stores 5 ---------------------------- 029 1 223 598 209 126 47 502 25 504 545 Dairy products stores 2 ------------------------------------------- 340 514 643 62 267 14 178 7 879 549 Miscellaneous food stores 7 -------------------------------------- 606 2 665 077 369 737 84 720 35 248

55 ex. 554 Automotive dealers 96 ----------------------------------------------- 373 395 147 882 31 807 141 7 222 208 1 267 533

551 New and used car dealers 24 ---------------------------------------- 380 333 801 369 24 421 298 5 532 780 860 139

552 Used car dealers 18 ------------------------------------------------ 672 16 031 345 1 131 834 261 991 62 793

553 Auto and home supply stores 41 ------------------------------------- 308 28 565 320 4 683 064 1 090 079 269 069 553 pt. Auto parts, tires, and accessories stores 39 ------------------------- 154 26 949 262 4 491 987 1 046 054 255 761 553 pt. Home and auto supply stores 2 ----------------------------------- 154 1 616 058 191 077 44 025 13 308

555, 6, 7, 9 Miscellaneous automotive dealers 12 --------------------------------- 013 16 749 848 1 570 945 337 358 75 532

555 Boat dealers -------------------------------------------------- 4 773 5 537 133 557 982 117 372 27 282

556 Recreational vehicle dealers 2 ------------------------------------ 826 6 313 817 514 269 110 758 22 304

557 Motorcycle dealers 3 --------------------------------------------- 585 4 162 684 427 155 92 307 22 184

559 Automotive dealers, n.e.c. 829 -------------------------------------- 736 214 71 539 16 921 3 762

554 Gasoline service stations 105 ----------------------------------------- 334 134 705 359 7 569 143 1 820 992 675 080

554 pt. Gasoline/convenience food stores 33 --------------------------------- 998 47 993 477 2 451 130 584 409 246 586 554 pt. Other gasoline service stations and truck stops 71 --------------------- 336 86 711 882 5 118 013 1 236 583 428 494

56 Apparel and accessory stores 145 ------------------------------------- 490 101 714 474 12 038 524 2 857 850 1 144 587

561 Men’s and boys’ clothing and accessory stores 15 --------------------- 566 10 013 646 1 439 925 354 067 104 520

562, 3 Women’s clothing and specialty stores 58 ----------------------------- 970 34 912 011 4 169 798 989 176 466 941 562 Women’s clothing stores 50 --------------------------------------- 174 31 326 346 3 690 312 876 534 423 022

563 Women’s accessory and specialty stores 8 ------------------------- 796 3 585 665 479 486 112 642 43 919

563 pt. Furriers and fur shops 780 ---------------------------------------- 397 249 76 145 19 241 3 838

563 pt. Other women’s accessory and specialty stores 8 ----------------- 016 3 188 416 403 341 93 401 40 081

565 Family clothing stores 19 -------------------------------------------- 452 32 787 133 3 468 875 811 860 309 516

566 Shoe stores ----------------------------------------------------- 37 206 17 883 367 2 184 510 520 729 184 415 566 pt. Men’s shoe stores 2 --------------------------------------------- 946 1 213 629 176 129 43 859 10 961 566 pt. Women’s shoe stores 7 ------------------------------------------ 088 3 004 220 410 276 99 524 33 994 566 pt. Children’s and juveniles’ shoe stores 1 ----------------------------- 205 350 775 59 214 13 922 5 541 566 pt. Family shoe stores 21 --------------------------------------------- 358 9 709 613 1 146 139 270 850 100 209 566 pt. Athletic footwear stores 4 ---------------------------------------- 609 3 605 130 392 752 92 574 33 710

564, 9 Other apparel and accessory stores 14 ------------------------------- 296 6 118 317 775 416 182 018 79 195

564 Children’s and infants’ wear stores 5 ------------------------------ 637 2 956 680 323 039 77 719 38 509 569 Miscellaneous apparel and accessory stores 8 ---------------------- 659 3 161 637 452 377 104 299 40 686

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–11
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 2

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 1. Summary Statistics for the United States: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

SIC code Kind of business Establishments

(number)

Sales

($1,000)

Annual payroll

($1,000)

First quarter

payroll

($1,000)

Paid employees

for pay period

including March 12

(number)

57 Furniture and homefurnishings stores 110 ----------------------------- 073 93 206 043 11 868 650 2 800 021 702 164

5712 Furniture stores 32 -------------------------------------------------- 478 30 416 124 4 354 734 1 032 497 232 668

5713, 4, 9 Homefurnishings stores 33 ------------------------------------------- 017 19 747 745 2 835 102 656 158 180 704 5713 Floor covering stores 13 ------------------------------------------- 648 9 615 699 1 381 802 318 529 68 643 5714 Drapery, curtain, and upholstery stores 2 --------------------------- 877 861 542 153 796 36 303 11 403 5719 Miscellaneous homefurnishings stores 16 --------------------------- 492 9 270 504 1 299 504 301 326 100 658

572 Household appliance stores 9 --------------------------------------- 743 8 155 425 964 697 229 400 53 782

573 Radio, television, computer, and music stores 34 ----------------------- 835 34 886 749 3 714 117 881 966 235 010 5731 Radio, television, and electronics stores 17 -------------------------- 324 19 791 236 2 111 930 504 079 121 115 5734 Computer and software stores 5 ---------------------------------- 438 6 550 436 607 091 139 750 29 852 5734 pt. Computer stores 2 --------------------------------------------- 976 4 741 992 416 837 97 681 19 089 5734 pt. Computer software stores 2 ------------------------------------ 462 1 808 444 190 254 42 069 10 763 5735 Record and prerecorded tape stores 7 ----------------------------- 924 5 860 230 592 529 143 000 60 438 5736 Musical instrument stores 4 --------------------------------------- 149 2 684 847 402 567 95 137 23 605

58 Eating and drinking places 433 ---------------------------------------- 608 195 316 992 52 569 715 12 288 891 6 547 908

5812 Eating places ---------------------------------------------------- 377 760 184 203 215 50 306 719 11 747 223 6 243 862 5812 pt. Restaurants 170 --------------------------------------------------- 183 85 178 356 25 369 098 5 976 493 2 988 535 5812 pt. Cafeterias ----------------------------------------------------- 5 513 3 619 172 1 036 681 243 972 109 063 5812 pt. Refreshment places 164 -------------------------------------------- 341 77 685 530 18 807 954 4 351 144 2 651 779 5812 pt. Other eating places 37 -------------------------------------------- 723 17 720 157 5 092 986 1 175 614 494 485 5812 pt. Social caterers 5 ---------------------------------------------- 879 2 326 860 674 710 137 393 75 711 5812 pt. Contract feeding 19 --------------------------------------------- 117 13 148 520 3 938 604 944 619 340 616 5812 pt. Ice cream and frozen yogurt shops 12 ---------------------------- 727 2 244 777 479 672 93 602 78 158

5813 Drinking places 55 -------------------------------------------------- 848 11 113 777 2 262 996 541 668 304 046

591 Drug and proprietary stores 48 --------------------------------------- 142 77 487 573 9 060 316 2 186 862 587 943

591 pt. Drug stores ----------------------------------------------------- 46 304 75 960 792 8 903 671 2 150 162 573 790 591 pt. Proprietary stores 1 ------------------------------------------------ 838 1 526 781 156 645 36 700 14 153

59 ex. 591 Miscellaneous retail stores 302 ---------------------------------------- 538 183 941 461 24 434 107 5 768 112 1 768 644

592 Liquor stores ---------------------------------------------------- 31 386 20 319 081 1 522 808 363 602 132 989 593 Used merchandise stores 19 ----------------------------------------- 826 5 650 584 1 123 986 258 577 93 267

594 Miscellaneous shopping goods stores 127 ------------------------------ 312 66 175 409 8 562 534 2 009 244 749 947 5941 Sporting goods stores and bicycle shops 23 ------------------------- 314 14 460 994 1 733 111 399 012 137 417 5941 pt. General line sporting goods stores 7 ----------------------------- 714 6 892 098 776 283 181 884 63 543 5941 pt. Specialty line sporting goods stores 15 ---------------------------- 600 7 568 896 956 828 217 128 73 874

5942 Book stores --------------------------------------------------- 12 887 8 014 885 928 048 219 890 92 480

5944 Jewelry stores 28 ------------------------------------------------- 077 14 001 976 2 224 398 550 558 147 888

5943, 5, 6,

7, 8, 9

Other miscellaneous shopping goods stores 63 ------------------------ 034 29 697 554 3 676 977 839 784 372 162

5943 Stationery stores 4 ----------------------------------------------- 344 1 725 094 269 992 66 914 22 228

5945 Hobby, toy, and game shops 10 ------------------------------------ 860 10 627 271 991 855 217 805 94 804

5946 Camera and photographic supply stores 3 -------------------------- 012 2 207 491 285 357 66 902 17 407

5947 Gift, novelty, and souvenir shops 34 -------------------------------- 647 10 553 525 1 466 864 326 652 164 311

5948 Luggage and leather goods stores 1 ------------------------------- 907 1 007 851 146 945 34 423 10 684

5949 Sewing, needlework, and piece goods stores 8 --------------------- 264 3 576 322 515 964 127 088 62 728

596 Nonstore retailers 27 ------------------------------------------------ 805 51 079 997 6 280 379 1 475 682 339 134

5961 Catalog and mail-order houses 7 ---------------------------------- 773 34 579 632 3 079 071 711 047 150 089

5961 pt. Department store merchandise 1 -------------------------------- 859 3 049 241 336 533 83 483 18 559

5961 pt. Other general merchandise 868 ----------------------------------- 6 814 875 580 080 122 567 26 406

5961 pt. Specialized merchandise 5 ------------------------------------- 046 24 715 516 2 162 458 504 997 105 124

5962 Automatic merchandising machine operators 6 ---------------------- 391 6 330 079 1 232 016 295 348 69 628

5963 Direct selling establishments 13 ------------------------------------ 641 10 170 286 1 969 292 469 287 119 417

5963 pt. Furniture, homefurnishings, and equipment 3 --------------------- 164 1 863 766 361 222 92 558 21 505

5963 pt. Mobile food service 1 ------------------------------------------ 965 728 229 149 269 34 188 13 527

5963 pt. Books and stationery 450 ----------------------------------------- 663 847 112 511 28 596 8 764

5963 pt. Other ------------------------------------------------------- 8 062 6 914 444 1 346 290 313 945 75 621

598 Fuel dealers ----------------------------------------------------- 10 973 13 875 226 1 928 003 483 351 81 506

5983 Fuel oil dealers 5 ------------------------------------------------ 025 8 944 160 1 147 811 292 262 43 946

5984 Liquefied petroleum gas (bottled gas) dealers 5 --------------------- 651 4 867 046 771 224 189 105 36 841

5989 Fuel dealers, n.e.c. 297 --------------------------------------------- 64 020 8 968 1 984 719

5992 Florists --------------------------------------------------------- 27 341 5 719 237 1 207 332 291 953 122 114 5993 Tobacco stores and stands 1 --------------------------------------- 477 781 826 61 805 14 202 5 530 5994 News dealers and newsstands 2 ------------------------------------ 260 704 285 91 091 21 667 8 696 5995 Optical goods stores 14 --------------------------------------------- 160 4 806 183 1 114 180 268 715 64 986

5999 Miscellaneous retail stores, n.e.c. 39 ---------------------------------- 998 14 829 633 2 541 989 581 119 170 475 5999 pt. Pet shops ----------------------------------------------------- 7 160 2 677 913 378 899 89 579 38 408 5999 pt. Art dealers ---------------------------------------------------- 5 010 2 080 789 307 437 72 504 16 982 5999 pt. Other miscellaneous retail stores, n.e.c. 27 -------------------------- 828 10 070 931 1 855 653 419 036 115 085

1Includes sales from catalog order desks.

2Includes data for leased departments operated within department stores.

3Data for this line not included in broader kind-of-business totals.

US–12nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 3

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 2. Selected Ratios for the United States: 1992

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

SIC code Kind of business

Sales

Per establishment (dollars)Per employee1

(dollars)

Annual payroll

per employee1

(dollars)

Employees

per establishment 1

(number)

Retail trade ----------------------------------------------------- 1 241 555 102 941 12 107 12

52 Building materials and garden supplies stores 1 ---------------------------- 422 393 148 453 17 709 10

521, 3 Building materials and supply stores 2 -------------------------------------- 093 378 171 187 19 353 12

521 Lumber and other building materials dealers 2 ----------------------------- 688 896 176 826 19 467 15

523 Paint, glass, and wallpaper stores 608 -------------------------------------- 616 126 687 18 451 5

525 Hardware stores -------------------------------------------------------- 647 436 90 222 13 737 7

526 Retail nurseries, lawn and garden supply stores 582 --------------------------- 836 88 503 14 234 7

527 Manufactured (mobile) home dealers 1 ------------------------------------- 409 362 250 379 20 962 6

53 General merchandise stores 7 --------------------------------------------- 089 224 118 030 11 788 60

531 Department stores (incl. leased depts.) 2 3 4-------------------------------- 17 342 508 (NA) (NA) (NA)

531 pt. Conventional 2 3 ------------------------------------------------------ 21 482 995 (NA) (NA) (NA)

531 pt. Discount or mass merchandising 2 3------------------------------------- 15 348 165 (NA) (NA) (NA)

531 pt. National chain 2 3 ----------------------------------------------------- 19 233 981 (NA) (NA) (NA)

531 Department stores (excl. leased depts.) 2 ---------------------------------- 16 945 975 108 431 11 712 156

531 pt. Conventional 2 -------------------------------------------------------- 20 832 380 102 644 12 962 203

531 pt. Discount or mass merchandising 2 -------------------------------------- 15 031 941 112 598 10 676 134

531 pt. National chain 2 ------------------------------------------------------- 18 872 473 105 618 12 683 179

533 Variety stores ---------------------------------------------------------- 721 027 78 170 9 395 9

539 Miscellaneous general merchandise stores 4 -------------------------------- 513 782 204 814 13 470 22

539 pt. Warehouse clubs ----------------------------------------------------- 49 822 317 339 283 16 929 147

539 pt. Catalog showrooms --------------------------------------------------- 6 911 627 147 052 11 062 47

539 pt. Other miscellaneous general merchandise stores 1 ------------------------ 348 091 116 735 11 567 12

54 Food stores ------------------------------------------------------------- 2 044 651 124 338 12 537 16

541 Grocery stores --------------------------------------------------------- 2 645 582 131 446 12 835 20

541 pt. Supermarkets and other general-line grocery stores 4 ---------------------- 282 245 134 365 13 343 32

541 pt. Convenience food stores 562 ---------------------------------------------- 995 100 487 9 387 6

541 pt. Convenience food/gasoline stores 839 ------------------------------------- 507 136 008 9 385 6

541 pt. Delicatessens -------------------------------------------------------- 290 140 59 609 9 369 5

542 Meat and fish (seafood) markets 563 ----------------------------------------- 796 111 675 12 310 5

546 Retail bakeries --------------------------------------------------------- 263 831 34 282 8 955 8 546 pt. Retail bakeries mbaking and selling 262 ------------------------------------- 101 32 860 8 922 8 546 pt. Retail bakeries mselling only 279 ------------------------------------------- 848 54 867 9 439 5

543, 4, 5, 9 Other food stores ------------------------------------------------------- 346 183 73 185 9 891 5

543 Fruit and vegetable markets 608 ------------------------------------------- 982 111 286 12 210 5

544 Candy, nut, and confectionery stores 243 ----------------------------------- 308 47 977 8 200 5 545 Dairy products stores ------------------------------------------------- 219 933 65 318 7 903 3 549 Miscellaneous food stores 350 --------------------------------------------- 391 75 609 10 490 5

55 ex. 554 Automotive dealers ------------------------------------------------------ 4 100 193 311 746 25 094 13

551 New and used car dealers 13 ----------------------------------------------- 691 607 388 078 28 392 35

552 Used car dealers ------------------------------------------------------- 858 577 255 305 18 025 3

553 Auto and home supply stores 691 -------------------------------------------- 520 106 164 17 405 7 553 pt. Auto parts, tires, and accessories stores 688 -------------------------------- 289 105 369 17 563 7 553 pt. Home and auto supply stores 750 ------------------------------------------ 259 121 435 14 358 6

555, 6, 7, 9 Miscellaneous automotive dealers 1 ---------------------------------------- 394 310 221 758 20 798 6

555 Boat dealers --------------------------------------------------------- 1 160 095 202 959 20 452 6

556 Recreational vehicle dealers 2 ------------------------------------------- 234 189 283 080 23 057 8

557 Motorcycle dealers --------------------------------------------------- 1 161 139 187 644 19 255 6

559 Automotive dealers, n.e.c. 888 --------------------------------------------- 075 195 698 19 016 5

554 Gasoline service stations 1 ------------------------------------------------ 278 840 199 540 11 212 6

554 pt. Gasoline/convenience food stores 1 --------------------------------------- 411 656 194 632 9 940 7 554 pt. Other gasoline service stations and truck stops 1 ---------------------------- 215 542 202 364 11 944 6

56 Apparel and accessory stores 699 ------------------------------------------- 117 88 866 10 518 8

561 Men’s and boys’ clothing and accessory stores 643 ---------------------------- 302 95 806 13 777 7

562, 3 Women’s clothing and specialty stores 592 ------------------------------------ 030 74 767 8 930 8 562 Women’s clothing stores 624 ---------------------------------------------- 354 74 054 8 724 8

563 Women’s accessory and specialty stores 407 ------------------------------- 647 81 643 10 918 5

563 pt. Furriers and fur shops 509 ---------------------------------------------- 294 103 504 19 840 5

563 pt. Other women’s accessory and specialty stores 397 ------------------------ 756 79 549 10 063 5

565 Family clothing stores --------------------------------------------------- 1 685 540 105 930 11 207 16

566 Shoe stores ------------------------------------------------------------ 480 658 96 973 11 846 5 566 pt. Men’s shoe stores ---------------------------------------------------- 411 958 110 722 16 069 4 566 pt. Women’s shoe stores ------------------------------------------------- 423 846 88 375 12 069 5 566 pt. Children’s and juveniles’ shoe stores 291 ----------------------------------- 100 63 305 10 687 5 566 pt. Family shoe stores --------------------------------------------------- 454 612 96 894 11 437 5 566 pt. Athletic footwear stores 782 ----------------------------------------------- 194 106 945 11 651 7

564, 9 Other apparel and accessory stores 427 -------------------------------------- 974 77 256 9 791 6

564 Children’s and infants’ wear stores 524 ------------------------------------- 513 76 779 8 389 7 569 Miscellaneous apparel and accessory stores 365 ---------------------------- 127 77 708 11 119 5

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–13
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 4

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 2. Selected Ratios for the United States: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

SIC code Kind of business

Sales

Per establishment (dollars)Per employee1

(dollars)

Annual payroll

per employee1

(dollars)

Employees

per establishment 1

(number)

57 Furniture and homefurnishings stores 846 ------------------------------------ 766 132 741 16 903 6

5712 Furniture stores -------------------------------------------------------- 936 515 130 728 18 717 7

5713, 4, 9 Homefurnishings stores ------------------------------------------------- 598 108 109 282 15 689 5

5713 Floor covering stores ------------------------------------------------- 704 550 140 083 20 130 5

5714 Drapery, curtain, and upholstery stores 299 --------------------------------- 458 75 554 13 487 4

5719 Miscellaneous homefurnishings stores 562 ---------------------------------- 121 92 099 12 910 6

572 Household appliance stores 837 --------------------------------------------- 055 151 639 17 937 6

573 Radio, television, computer, and music stores 1 ----------------------------- 001 486 148 448 15 804 7

5731 Radio, television, and electronics stores 1 -------------------------------- 142 417 163 409 17 437 7

5734 Computer and software stores 1 ----------------------------------------- 204 567 219 430 20 337 5

5734 pt. Computer stores ---------------------------------------------------- 1 593 411 248 415 21 837 6

5734 pt. Computer software stores 734 ------------------------------------------- 543 168 024 17 677 4

5735 Record and prerecorded tape stores 739 ----------------------------------- 555 96 963 9 804 8

5736 Musical instrument stores 647 --------------------------------------------- 107 113 741 17 054 6

58 Eating and drinking places 450 ----------------------------------------------- 446 29 829 8 028 15

5812 Eating places ---------------------------------------------------------- 487 620 29 501 8 057 17

5812 pt. Restaurants ---------------------------------------------------------- 500 510 28 502 8 489 18

5812 pt. Cafeterias ----------------------------------------------------------- 656 480 33 184 9 505 20

5812 pt. Refreshment places -------------------------------------------------- 472 709 29 296 7 093 16

5812 pt. Other eating places --------------------------------------------------- 469 744 35 836 10 300 13

5812 pt. Social caterers ----------------------------------------------------- 395 792 30 733 8 912 13

5812 pt. Contract feeding ---------------------------------------------------- 687 792 38 602 11 563 18

5812 pt. Ice cream and frozen yogurt shops 176 ----------------------------------- 379 28 721 6 137 6

5813 Drinking places --------------------------------------------------------- 199 000 36 553 7 443 5

591 Drug and proprietary stores 1 --------------------------------------------- 609 563 131 794 15 410 12

591 pt. Drug stores ------------------------------------------------------------ 1 640 480 132 384 15 517 12

591 pt. Proprietary stores ------------------------------------------------------- 830 675 107 877 11 068 8

59 ex. 591 Miscellaneous retail stores 607 ----------------------------------------------- 995 104 001 13 815 6

592 Liquor stores ----------------------------------------------------------- 647 393 152 788 11 451 4

593 Used merchandise stores 285 ----------------------------------------------- 009 60 585 12 051 5

594 Miscellaneous shopping goods stores 519 ------------------------------------ 789 88 240 11 418 6

5941 Sporting goods stores and bicycle shops 620 -------------------------------- 271 105 234 12 612 6

5941 pt. General line sporting goods stores 893 ----------------------------------- 453 108 464 12 217 8

5941 pt. Specialty line sporting goods stores 485 ---------------------------------- 186 102 457 12 952 5

5942 Book stores ---------------------------------------------------------- 621 936 86 666 10 035 7 5944 Jewelry stores -------------------------------------------------------- 498 699 94 680 15 041 5

5943, 5, 6,

7, 8, 9

Other miscellaneous shopping goods stores 471 ------------------------------- 135 79 797 9 880 6

5943 Stationery stores ----------------------------------------------------- 397 121 77 609 12 146 5 5945 Hobby, toy, and game shops 978 ------------------------------------------ 570 112 097 10 462 9 5946 Camera and photographic supply stores 732 -------------------------------- 899 126 816 16 393 6 5947 Gift, novelty, and souvenir shops 304 --------------------------------------- 601 64 229 8 927 5 5948 Luggage and leather goods stores 528 ------------------------------------- 501 94 333 13 754 6 5949 Sewing, needlework, and piece goods stores 432 ---------------------------- 759 57 013 8 225 8

596 Nonstore retailers ------------------------------------------------------ 1 837 080 150 619 18 519 12 5961 Catalog and mail-order houses 4 ----------------------------------------- 448 685 230 394 20 515 19 5961 pt. Department store merchandise 1 --------------------------------------- 640 259 164 300 18 133 10 5961 pt. Other general merchandise 7 ------------------------------------------ 851 238 258 081 21 968 30 5961 pt. Specialized merchandise 4 -------------------------------------------- 898 041 235 108 20 571 21

5962 Automatic merchandising machine operators 990 ---------------------------- 468 90 913 17 694 11

5963 Direct selling establishments 745 ------------------------------------------- 567 85 166 16 491 9 5963 pt. Furniture, homefurnishings, and equipment 589 ---------------------------- 054 86 667 16 797 7 5963 pt. Mobile food service ------------------------------------------------- 370 600 53 835 11 035 7 5963 pt. Books and stationery 1 ----------------------------------------------- 475 216 75 747 12 838 19 5963 pt. Other ------------------------------------------------------------- 857 659 91 436 17 803 9

598 Fuel dealers ----------------------------------------------------------- 1 264 488 170 236 23 655 7 5983 Fuel oil dealers ------------------------------------------------------- 1 779 932 203 526 26 119 9 5984 Liquefied petroleum gas (bottled gas) dealers 861 --------------------------- 272 132 109 20 934 7 5989 Fuel dealers, n.e.c. --------------------------------------------------- 215 556 89 040 12 473 2

5992 Florists ---------------------------------------------------------------- 209 182 46 835 9 887 4

5993 Tobacco stores and stands 529 ---------------------------------------------- 334 141 379 11 176 4

5994 News dealers and newsstands 311 ------------------------------------------- 631 80 990 10 475 4

5995 Optical goods stores ---------------------------------------------------- 339 420 73 957 17 145 5

5999 Miscellaneous retail stores, n.e.c. 370 ---------------------------------------- 759 86 990 14 911 4

5999 pt. Pet shops ----------------------------------------------------------- 374 010 69 723 9 865 5

5999 pt. Art dealers ----------------------------------------------------------- 415 327 122 529 18 104 3

5999 pt. Other miscellaneous retail stores, n.e.c. 361 --------------------------------- 899 87 509 16 124 4

1Based on number of employees for pay period including March 12.

2Includes sales from catalog order desks.

3Includes data for leased departments operated within department stores.

4Data for this line not included in broader kind-of-business totals.

US–14nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 5

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 3. Comparative Statistics for the United States: 1992 and 1987

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

SIC code Kind of business

Establishments Sales Annual payroll

Paid employees for pay

period including

March 12

1992

(number)

1987

(number)

1992

($1,000)

1987

($1,000)

Percent

change

1987 to

1992

1992

($1,000)

1987

($1,000)

Percent

change

1987 to

1992

1992

(number)

1987

(number)

Retail trade 1 ------------------------ 526 215 1 503 593 1 894 880 209 1 493 308 759 26.9 222 867 879 177 547 927 25.5 18 407 453 17 779 942

52 Building materials and garden supplies

stores 69 ------------------------------------ 483 73 805 98 832 146 81 486 551 21.3 11 789 798 9 760 395 20.8 665 747 668 448

521, 3 Building materials and supply stores 35 -------- 589 38 001 74 501 238 60 525 420 23.1 8 422 506 6 929 086 21.6 435 204 431 732 521 Lumber and other building materials dealers 25 ------------------------------- 401 27 497 68 300 659 55 283 957 23.5 7 519 456 6 156 926 22.1 386 260 379 984 523 Paint, glass, and wallpaper stores 10 -------- 188 10 504 6 200 579 5 241 463 18.3 903 050 772 160 17.0 48 944 51 748

525 Hardware stores 18 -------------------------- 984 20 059 12 290 916 10 534 934 16.7 1 871 358 1 564 119 19.6 136 230 137 860

526 Retail nurseries, lawn and garden supply

stores 10 ---------------------------------- 857 10 692 6 327 846 5 410 774 16.9 1 017 708 822 055 23.8 71 499 71 370

527 Manufactured (mobile) home dealers 4 -------- 053 5 053 5 712 146 5 015 423 13.9 478 226 445 135 7.4 22 814 27 486

53 General merchandise stores 34 --------------- 606 35 434 245 329 695 181 147 274 35.4 24 502 700 19 585 611 25.1 2 078 530 2 003 181

531 Department stores (incl. leased depts.) 1 2 3 -- 11 001 10 041 190 784 927 r

148 655 616 28.3 (NA) (NA) (NA) (NA) (NA)

531 pt. Conventional 1 2 ------------------------- 2 388 2 425 51 301 393 47 761 361 7.4 (NA) (NA) (NA) (NA) (NA)

531 pt. Discount or mass merchandising 1 2 ------- 6 737 5 798 103 400 585 r64 332 241 60.7 (NA) (NA) (NA) (NA) (NA)

531 pt. National chain 1 2------------------------ 1 876 1 818 36 082 949 36 562 014 –1.3 (NA) (NA) (NA) (NA) (NA)

531 Department stores (excl. leased depts.) 1 ---- 11 001 10 041 186 422 670 144 016 976 29.4 20 135 723 16 365 394 23.0 1 719 276 1 651 465

531 pt. Conventional 1 -------------------------- 2 388 2 425 49 747 724 46 017 837 8.1 6 281 993 5 854 930 7.3 484 662 549 699

531 pt. Discount or mass merchandising 1 -------- 6 737 5 798 101 270 187 62 553 795 61.9 9 602 112 6 194 923 55.0 899 398 713 918

531 pt. National chain 1 ------------------------- 1 876 1 818 35 404 759 35 445 344 –.1 4 251 618 4 315 541 –1.5 335 216 387 848

533 Variety stores 12 ---------------------------- 561 10 424 9 056 820 6 762 156 33.9 1 088 465 925 967 17.5 115 861 120 684

539 Miscellaneous general merchandise stores 11 -- 044 14 969 49 850 205 30 368 142 64.2 3 278 512 2 294 250 42.9 243 393 231 032

539 pt. Warehouse clubs 616 ----------------------- 281 30 690 547 9 557 121 221.1 1 531 305 466 100 228.5 90 457 32 426

539 pt. Catalog showrooms 917 --------------------- 904 6 337 962 6 495 420 –2.4 476 771 465 352 2.5 43 100 48 468

539 pt. Other miscellaneous general merchandise

stores 9 -------------------------------- 511 13 784 12 821 696 14 315 601 –10.4 1 270 436 1 362 798 –6.8 109 836 150 138

54 Food stores 180 ------------------------------- 568 190 706 369 198 584 301 846 804 22.3 37 227 785 29 818 802 24.8 2 969 317 2 854 673

541 Grocery stores 133 --------------------------- 263 137 584 352 558 184 285 481 116 23.5 34 425 343 27 084 041 27.1 2 682 153 2 502 468

541 pt. Supermarkets and other general-line

grocery stores 73 ------------------------- 357 83 958 314 132 652 256 105 784 22.7 31 194 647 24 387 750 27.9 2 337 897 2 170 405

541 pt. Convenience food stores 30 ---------------- 748 30 864 17 310 965 15 391 118 12.5 1 617 097 1 475 973 9.6 172 270 185 655

541 pt. Convenience food/gasoline stores 23 -------- 035 18 650 19 338 037 12 413 956 55.8 1 334 373 992 122 34.5 142 183 117 837

541 pt. Delicatessens 6 -------------------------- 123 4 112 1 776 530 1 570 258 13.1 279 226 228 196 22.4 29 803 28 571

542 Meat and fish (seafood) markets 8 ----------- 941 11 364 5 040 901 5 616 255 –10.2 555 662 605 718 –8.3 45 139 59 044

546 Retail bakeries 20 --------------------------- 418 21 790 5 386 894 4 870 760 10.6 1 407 147 1 353 143 4.0 157 136 185 396 546 pt. Retail bakeries mbaking and selling 18 ------- 428 19 626 4 829 997 4 314 825 11.9 1 311 341 1 238 530 5.9 146 986 171 832 546 pt. Retail bakeries mselling only 1 ------------- 990 2 164 556 897 555 935 .2 95 806 114 613 –16.4 10 150 13 564

543, 4, 5,

9

Other food stores 17 ------------------------- 946 19 968 6 212 605 5 878 673 5.7 839 633 775 900 8.2 84 889 107 765

543 Fruit and vegetable markets 2 ------------- 971 3 271 1 809 287 1 802 222 .4 198 503 185 935 6.8 16 258 20 013

544 Candy, nut, and confectionery stores 5 ----- 029 6 124 1 223 598 1 182 238 3.5 209 126 199 325 4.9 25 504 30 767

545 Dairy products stores 2 -------------------- 340 3 302 514 643 880 143 –41.5 62 267 106 000 –41.3 7 879 17 377 549 Miscellaneous food stores 7 --------------- 606 7 271 2 665 077 2 014 070 32.3 369 737 284 640 29.9 35 248 39 608

55 ex. 554 Automotive dealers 96 ------------------------ 373 102 704 395 147 882 333 419 982 18.5 31 807 141 28 687 883 10.9 1 267 533 1 373 238

551 New and used car dealers 24 ----------------- 380 28 320 333 801 369 280 529 244 19.0 24 421 298 22 204 978 10.0 860 139 939 929 552 Used car dealers 18 ------------------------- 672 14 948 16 031 345 10 848 706 47.8 1 131 834 808 792 39.9 62 793 55 494

553 Auto and home supply stores 41 -------------- 308 46 207 28 565 320 25 460 270 12.2 4 683 064 4 151 948 12.8 269 069 286 155 553 pt. Auto parts, tires, and accessories stores 39 -- 154 41 590 26 949 262 23 169 210 16.3 4 491 987 3 868 002 16.1 255 761 259 770 553 pt. Home and auto supply stores 2 ------------ 154 4 617 1 616 058 2 291 060 –29.5 191 077 283 946 –32.7 13 308 26 385

555, 6, 7,

9

Miscellaneous automotive dealers 12 ---------- 013 13 229 16 749 848 16 581 762 1.0 1 570 945 1 522 165 3.2 75 532 91 660

555 Boat dealers 4 --------------------------- 773 5 174 5 537 133 6 824 154 –18.9 557 982 620 297 –10.0 27 282 34 875 556 Recreational vehicle dealers 2 ------------- 826 3 006 6 313 817 5 538 471 14.0 514 269 437 391 17.6 22 304 24 621 557 Motorcycle dealers 3 ---------------------- 585 4 197 4 162 684 3 475 390 19.8 427 155 381 815 11.9 22 184 27 070 559 Automotive dealers, n.e.c. 829 --------------- 852 736 214 743 747 –1.0 71 539 82 662 –13.5 3 762 5 094

554 Gasoline service stations 105 ------------------ 334 114 748 134 705 359 101 997 440 32.1 7 569 143 6 413 692 18.0 675 080 701 690

554 pt. Gasoline/convenience food stores 33 ---------- 998 15 625 47 993 477 16 104 821 198.0 2 451 130 932 428 162.9 246 586 115 682 554 pt. Other gasoline service stations and truck

stops 71 ----------------------------------- 336 99 123 86 711 882 85 892 619 1.0 5 118 013 5 481 264 –6.6 428 494 586 008

56 Apparel and accessory stores 145 -------------- 490 149 435 101 714 474 77 390 774 31.4 12 038 524 9 724 663 23.8 1 144 587 1 121 011

561 Men’s and boys’ clothing and accessory stores 15 ---------------------------------- 566 16 507 10 013 646 8 868 812 12.9 1 439 925 1 360 687 5.8 104 520 115 169

562, 3 Women’s clothing and specialty stores 58 ------ 970 59 794 34 912 011 28 530 843 22.4 4 169 798 3 518 678 18.5 466 941 454 612 562 Women’s clothing stores 50 ---------------- 174 52 304 31 326 346 25 867 595 21.1 3 690 312 3 150 276 17.1 423 022 418 972 563 Women’s accessory and specialty stores 8 -- 796 7 490 3 585 665 2 663 248 34.6 479 486 368 402 30.2 43 919 35 640

563 pt. Furriers and fur shops 780 ----------------- 1 101 397 249 943 242 –57.9 76 145 146 901 –48.2 3 838 7 875

563 pt. Other women’s accessory and specialty

stores 8 ------------------------------ 016 6 389 3 188 416 1 720 006 85.4 403 341 221 501 82.1 40 081 27 765

565 Family clothing stores 19 --------------------- 452 18 443 32 787 133 21 117 145 55.3 3 468 875 2 362 394 46.8 309 516 267 719

566 Shoe stores 37 ------------------------------ 206 39 488 17 883 367 14 410 807 24.1 2 184 510 1 880 459 16.2 184 415 205 237

566 pt. Men’s shoe stores 2 ---------------------- 946 3 866 1 213 629 1 246 524 –2.6 176 129 182 920 –3.7 10 961 13 831

566 pt. Women’s shoe stores 7 ------------------- 088 9 272 3 004 220 3 122 811 –3.8 410 276 462 205 –11.2 33 994 47 546

566 pt. Children’s and juveniles’ shoe stores 1 ------ 205 1 268 350 775 296 618 18.3 59 214 49 922 18.6 5 541 5 460

566 pt. Family shoe stores 21 ---------------------- 358 21 254 9 709 613 7 925 744 22.5 1 146 139 982 544 16.7 100 209 115 560

566 pt. Athletic footwear stores 4 ----------------- 609 3 828 3 605 130 1 819 110 98.2 392 752 202 868 93.6 33 710 22 840

564, 9 Other apparel and accessory stores 14 -------- 296 15 203 6 118 317 4 463 167 37.1 775 416 602 445 28.7 79 195 78 274

564 Children’s and infants’ wear stores 5 ------- 637 6 146 2 956 680 2 101 471 40.7 323 039 244 931 31.9 38 509 37 284

569 Miscellaneous apparel and accessory stores 8 -------------------------------- 659 9 057 3 161 637 2 361 696 33.9 452 377 357 514 26.5 40 686 40 990

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–15
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 6

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 3. Comparative Statistics for the United States: 1992 and 1987 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

SIC code Kind of business

Establishments Sales Annual payroll

Paid employees for pay

period including

March 12

1992

(number)

1987

(number)

1992

($1,000)

1987

($1,000)

Percent

change

1987 to

1992

1992

($1,000)

1987

($1,000)

Percent

change

1987 to

1992

1992

(number)

1987

(number)

57 Furniture and homefurnishings stores 110 ------ 073 109 653 93 206 043 74 782 502 24.6 11 868 650 9 903 927 19.8 702 164 702 583

5712 Furniture stores 32 --------------------------- 478 32 763 30 416 124 25 996 804 17.0 4 354 734 3 827 799 13.8 232 668 246 772

5713, 4, 9 Homefurnishings stores 33 -------------------- 017 31 986 19 747 745 16 373 570 20.6 2 835 102 2 389 435 18.7 180 704 175 816

5713 Floor covering stores 13 -------------------- 648 13 752 9 615 699 9 225 941 4.2 1 381 802 1 324 625 4.3 68 643 75 373

5714 Drapery, curtain, and upholstery stores 2 ---- 877 3 856 861 542 1 026 669 –16.1 153 796 191 885 –19.8 11 403 17 182

5719 Miscellaneous homefurnishings stores 16 ---- 492 14 378 9 270 504 6 120 960 51.5 1 299 504 872 925 48.9 100 658 83 261

572 Household appliance stores 9 ---------------- 743 11 192 8 155 425 8 331 768 –2.1 964 697 952 656 1.3 53 782 65 419

573 Radio, television, computer, and music

stores 34 ---------------------------------- 835 33 712 34 886 749 24 080 360 44.9 3 714 117 2 734 037 35.8 235 010 214 576

5731 Radio, television, and electronics stores 17 --- 324 18 892 19 791 236 15 177 867 30.4 2 111 930 1 685 783 25.3 121 115 122 525

5734 Computer and software stores 5 ----------- 438 3 858 6 550 436 2 650 893 147.1 607 091 324 717 87.0 29 852 21 895

5735 Record and prerecorded tape stores 7 ------ 924 6 272 5 860 230 3 930 403 49.1 592 529 371 685 59.4 60 438 44 408

5736 Musical instrument stores 4 ---------------- 149 4 690 2 684 847 2 321 197 15.7 402 567 351 852 14.4 23 605 25 748

58 Eating and drinking places 433 ----------------- 608 391 303 195 316 992 148 776 497 31.3 52 569 715 38 582 227 36.3 6 547 908 6 099 720

5812 Eating places 377 ----------------------------- 760 332 611 184 203 215 139 281 605 32.3 50 306 719 36 632 674 37.3 6 243 862 5 786 889

5812 pt. Restaurants 170 ---------------------------- 183 154 721 85 178 356 66 364 205 28.3 25 369 098 18 795 564 35.0 2 988 535 2 822 189

5812 pt. Cafeterias 5 ------------------------------ 513 7 297 3 619 172 3 778 078 –4.2 1 036 681 1 084 772 –4.4 109 063 138 380

5812 pt. Refreshment places 164 --------------------- 341 138 104 77 685 530 56 869 883 36.6 18 807 954 13 268 979 41.7 2 651 779 2 352 218

5812 pt. Other eating places 37 --------------------- 723 32 489 17 720 157 12 269 439 44.4 5 092 986 3 483 359 46.2 494 485 474 102

5812 pt. Social caterers 5 ----------------------- 879 4 796 2 326 860 1 783 604 30.5 674 710 490 590 37.5 75 711 73 520

5812 pt. Contract feeding 19 ---------------------- 117 15 739 13 148 520 8 734 517 50.5 3 938 604 2 636 786 49.4 340 616 326 459

5812 pt. Ice cream and frozen yogurt shops 12 ----- 727 11 954 2 244 777 1 751 318 28.2 479 672 355 983 34.7 78 158 74 123

5813 Drinking places 55 --------------------------- 848 58 692 11 113 777 9 494 892 17.1 2 262 996 1 949 553 16.1 304 046 312 831

591 Drug and proprietary stores 48 ---------------- 142 52 181 77 487 573 53 824 463 44.0 9 060 316 6 476 432 39.9 587 943 573 692

591 pt. Drug stores 46 ------------------------------ 304 49 570 75 960 792 52 238 829 45.4 8 903 671 6 316 300 41.0 573 790 555 520

591 pt. Proprietary stores 1 ------------------------- 838 2 611 1 526 781 1 585 634 –3.7 156 645 160 132 –2.2 14 153 18 172

59 ex. 591 Miscellaneous retail stores 302 ----------------- 538 283 624 183 941 461 138 636 472 32.7 24 434 107 18 594 295 31.4 1 768 644 1 681 706

592 Liquor stores 31 ----------------------------- 386 35 194 20 319 081 18 596 981 9.3 1 522 808 1 454 274 4.7 132 989 156 519

593 Used merchandise stores 19 ------------------ 826 14 871 5 650 584 3 502 224 61.3 1 123 986 663 078 69.5 93 267 68 551

594 Miscellaneous shopping goods stores 127 ------- 312 122 850 66 175 409 49 459 912 33.8 8 562 534 6 481 025 32.1 749 947 706 363

5941 Sporting goods stores and bicycle shops 23 -- 314 21 601 14 460 994 10 077 322 43.5 1 733 111 1 218 248 42.3 137 417 120 714

5941 pt. General line sporting goods stores 7 ------ 714 7 959 6 892 098 5 077 048 35.8 776 283 570 794 36.0 63 543 58 602 5941 pt. Specialty line sporting goods stores 15 ----- 600 13 642 7 568 896 5 000 274 51.4 956 828 647 454 47.8 73 874 62 112

5942 Book stores 12 ---------------------------- 887 11 076 8 014 885 5 115 507 56.7 928 048 581 392 59.6 92 480 72 334 5944 Jewelry stores 28 -------------------------- 077 28 050 14 001 976 11 994 271 16.7 2 224 398 1 921 471 15.8 147 888 162 795

5943, 5, 6,

7, 8, 9

Other miscellaneous shopping goods

stores 63 -------------------------------- 034 62 123 29 697 554 22 272 812 33.3 3 676 977 2 759 914 33.2 372 162 350 520 5943 Stationery stores 4 ---------------------- 344 4 817 1 725 094 1 813 533 –4.9 269 992 286 658 –5.8 22 228 26 898 5945 Hobby, toy, and game shops 10 ----------- 860 9 629 10 627 271 7 031 359 51.1 991 855 613 934 61.6 94 804 75 932 5946 Camera and photographic supply stores 3 - 012 3 791 2 207 491 2 294 000 –3.8 285 357 275 961 3.4 17 407 21 425 5947 Gift, novelty, and souvenir shops 34 ------- 647 32 245 10 553 525 7 459 217 41.5 1 466 864 1 054 688 39.1 164 311 150 730 5948 Luggage and leather goods stores 1 ------ 907 2 009 1 007 851 839 091 20.1 146 945 122 419 20.0 10 684 11 033 5949 Sewing, needlework, and piece goods stores 8 ------------------------------ 264 9 632 3 576 322 2 835 612 26.1 515 964 406 254 27.0 62 728 64 502

596 Nonstore retailers 27 ------------------------- 805 23 064 51 079 997 33 893 627 50.7 6 280 379 4 522 731 38.9 339 134 317 972 5961 Catalog and mail-order houses 7 ----------- 773 7 227 34 579 632 20 346 643 70.0 3 079 071 1 931 588 59.4 150 089 123 195 5961 pt. Department store merchandise 1 --------- 859 2 169 3 049 241 r

2 900 105 5.1 336 533 r329 447 2.2 18 559 r24 034 5961 pt. Other general merchandise 868 ------------ 815 6 814 875 5 668 370 20.2 580 080 418 284 38.7 26 406 27 155 5961 pt. Specialized merchandise 5 -------------- 046 4 243 24 715 516 11 686 286 111.5 2 162 458 1 182 332 82.9 105 124 71 938

5962 Automatic merchandising machine

operators 6 ----------------------------- 391 5 302 6 330 079 5 692 292 11.2 1 232 016 1 090 167 13.0 69 628 73 652

5963 Direct selling establishments 13 ------------- 641 10 535 10 170 286 7 854 692 29.5 1 969 292 1 500 976 31.2 119 417 121 125

5963 pt. Furniture, homefurnishings, and

equipment 3 -------------------------- 164 2 749 1 863 766 r1 521 144 22.5 361 222 r351 323 2.8 21 505 r32 041

5963 pt. Mobile food service 1 ------------------- 965 1 646 728 229 664 722 9.6 149 269 140 215 6.5 13 527 13 944

5963 pt. Books and stationery 450 ------------------ 622 663 847 862 069 –23.0 112 511 195 442 –42.4 8 764 15 120

5963 pt. Other 8 -------------------------------- 062 5 518 6 914 444 4 505 804 53.5 1 346 290 813 996 65.4 75 621 60 020

598 Fuel dealers 10 ------------------------------ 973 12 743 13 875 226 14 198 230 –2.3 1 928 003 1 823 801 5.7 81 506 98 842 5983 Fuel oil dealers 5 ------------------------- 025 5 816 8 944 160 9 294 115 –3.8 1 147 811 1 059 034 8.4 43 946 54 035 5984 Liquefied petroleum gas (bottled gas) dealers 5 ------------------------------- 651 6 378 4 867 046 4 769 309 2.0 771 224 745 963 3.4 36 841 43 045 5989 Fuel dealers, n.e.c. 297 ---------------------- 549 64 020 134 806 –52.5 8 968 18 804 –52.3 719 1 762

5992 Florists 27 ---------------------------------- 341 26 683 5 719 237 4 810 359 18.9 1 207 332 1 019 258 18.5 122 114 125 048

5993 Tobacco stores and stands 1 ---------------- 477 1 948 781 826 518 146 50.9 61 805 57 166 8.1 5 530 6 736

5994 News dealers and newsstands 2 ------------- 260 2 198 704 285 703 155 .2 91 091 90 229 1.0 8 696 10 149

5995 Optical goods stores 14 ---------------------- 160 13 580 4 806 183 3 415 102 40.7 1 114 180 810 782 37.4 64 986 54 312

5999 Miscellaneous retail stores, n.e.c. 39 ----------- 998 30 493 14 829 633 9 538 736 55.5 2 541 989 1 671 951 52.0 170 475 137 214

5999 pt. Pet shops 7 ------------------------------ 160 5 475 2 677 913 1 359 423 97.0 378 899 220 016 72.2 38 408 28 193

5999 pt. Art dealers 5 ----------------------------- 010 3 173 2 080 789 1 509 608 37.8 307 437 215 606 42.6 16 982 13 857

5999 pt. Other miscellaneous retail stores, n.e.c. 27 --- 828 21 845 10 070 931 6 669 705 51.0 1 855 653 1 236 329 50.1 115 085 95 164

1Includes sales from catalog order desks.

2Includes data for leased departments operated within department stores.

3Data for this line not included in broader kind-of-business totals.

US–16nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 7

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 4. Establishments and Sales for States: 1992

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

Geographic area

Building materials and garden supplies stores

(SIC 52)

Building materials and supply stores

(SIC 521, 3)

Retail trade

Total

Total

Lumber and other

building materials dealers

(SIC 521)

Paint, glass, and

wallpaper stores

(SIC 523)

Hardware stores

(SIC 525)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

United States 1 ------ 526 215 1 894 880 209 69 483 98 832 146 35 589 74 501 238 25 401 68 300 659 10 188 6 200 579 18 984 12 290 916

Alabama 24 ------------------- 059 27 733 562 1 227 1 626 771 632 1 258 318 444 1 155 903 188 102 415 313 143 446

Alaska 3 --------------------- 693 4 981 919 132 288 185 87 240 541 69 221 478 18 19 063 34 42 848

Arizona 21 -------------------- 351 29 365 954 831 1 400 929 405 1 053 855 274 944 491 131 109 364 192 149 086

Arkansas 14 ------------------- 866 15 925 313 824 976 152 479 792 647 361 733 324 118 59 323 168 79 604

California 162 ------------------- 111 224 593 152 6 064 10 956 575 3 461 8 656 098 2 284 7 651 125 1 177 1 004 973 1 437 1 467 983

Colorado 22 ------------------- 921 28 532 646 921 1 558 039 534 1 268 807 358 1 161 535 176 107 272 246 175 837

Connecticut 21 ----------------- 012 27 753 739 928 1 449 890 483 1 145 228 315 1 055 179 168 90 049 252 163 763

Delaware 4 ------------------- 865 6 491 936 233 383 024 112 275 759 91 261 762 21 13 997 49 29 026

District of Columbia 3 --------- 847 3 586 625 28 48 948 13 34 167 7 (D) 6 (D) 14 (D)

Florida 87 --------------------- 653 118 741 770 3 792 5 523 991 1 897 4 373 822 1 227 4 024 629 670 349 193 913 457 415

Georgia 40 -------------------- 934 49 940 017 1 877 2 791 485 864 2 099 435 587 1 949 417 277 150 018 538 306 338

Hawaii 7 --------------------- 807 11 250 217 157 327 967 92 255 168 69 223 843 23 31 325 48 60 370

Idaho 6 ---------------------- 992 7 726 843 406 579 099 230 373 538 168 332 503 62 41 035 109 118 149

Illinois 64 ---------------------- 826 85 765 697 2 946 4 132 616 1 487 3 001 120 1 088 2 736 941 399 264 179 938 712 050

Indiana 33 --------------------- 448 42 373 476 1 834 2 445 126 849 1 711 895 561 1 560 918 288 150 977 502 342 654

Iowa 19 ----------------------- 732 19 959 786 1 219 1 291 963 634 954 927 495 888 613 139 66 314 376 176 614

Kansas 16 --------------------- 255 17 566 800 860 908 008 455 662 478 346 608 676 109 53 802 242 124 379

Kentucky 22 ------------------- 091 25 267 776 1 227 1 588 215 656 1 147 658 469 1 062 672 187 84 986 307 178 946

Louisiana 22 ------------------- 644 27 806 373 1 104 1 367 510 560 1 075 671 417 (D) 143 (D) 322 (D)

Maine 9 ---------------------- 270 10 286 757 591 662 622 263 454 141 198 415 922 65 38 219 210 114 664

Maryland 27 ------------------- 965 37 624 742 1 028 1 790 158 516 1 442 571 378 1 366 473 138 76 098 274 173 780

Massachusetts 38 -------------- 491 47 663 248 1 429 2 175 728 788 1 749 516 519 1 592 295 269 157 221 424 294 914

Michigan 54 ------------------- 519 71 523 046 2 911 4 053 009 1 361 2 792 229 1 032 2 587 671 329 204 558 913 599 687

Minnesota 27 ------------------ 710 35 622 218 1 699 2 421 772 830 1 874 186 671 1 769 461 159 104 725 599 340 895

Mississippi 15 ------------------ 285 14 780 984 830 835 291 429 613 785 323 549 280 106 64 505 193 73 329

Missouri 32 -------------------- 185 37 918 234 1 672 2 041 170 916 1 443 587 711 1 352 995 205 90 592 385 323 260

Montana 6 ------------------- 808 6 246 712 383 457 137 200 304 357 149 274 809 51 29 548 133 99 812

Nebraska 11 ------------------- 375 11 521 818 709 577 278 373 412 596 304 380 663 69 31 933 216 88 442

Nevada 7 -------------------- 502 11 546 436 324 638 186 158 456 740 107 408 124 51 48 616 69 67 942

New Hampshire 8 ------------- 594 11 099 193 477 677 658 250 540 694 185 501 857 65 38 837 140 81 564

New Jersey 48 ----------------- 648 63 109 174 1 774 2 693 087 969 2 245 686 667 2 054 449 302 191 237 471 237 126

New Mexico 9 ---------------- 311 11 279 262 415 607 826 225 430 023 157 387 070 68 42 953 100 71 329

New York 110 ------------------ 771 118 885 698 4 344 5 538 307 2 114 4 186 864 1 535 3 834 975 579 351 889 1 458 758 306

North Carolina 44 -------------- 164 49 564 327 2 360 3 536 748 1 068 2 587 304 785 2 438 591 283 148 713 598 305 442

North Dakota 4 --------------- 790 4 696 871 333 306 988 165 228 405 149 221 574 16 6 831 117 42 177

Ohio 63 ----------------------- 701 79 030 973 2 969 4 100 731 1 485 3 019 729 981 2 783 826 504 235 903 797 531 210

Oklahoma 19 ------------------ 440 21 212 771 912 909 892 530 719 521 393 653 881 137 65 640 195 77 584

Oregon 19 -------------------- 561 24 170 222 1 004 1 464 992 513 1 012 978 369 919 053 144 93 925 247 171 449

Pennsylvania 71 --------------- 652 87 787 842 3 333 4 188 235 1 675 3 128 010 1 213 2 875 402 462 252 608 912 499 922

Rhode Island 6 --------------- 412 6 734 282 251 290 040 134 230 984 80 205 222 54 25 762 81 46 806

South Carolina 22 -------------- 836 24 743 214 1 212 1 671 858 541 1 147 967 382 1 071 756 159 76 211 327 158 557

South Dakota 5 --------------- 567 5 108 398 378 307 082 193 204 943 169 190 303 24 14 640 135 54 700

Tennessee 30 ----------------- 582 37 508 350 1 522 2 148 185 808 1 558 376 584 1 445 374 224 113 002 370 254 593

Texas 98 ---------------------- 404 130 686 364 3 880 5 495 332 2 055 4 236 624 1 447 3 818 334 608 418 290 882 533 083

Utah 9 ----------------------- 175 12 373 482 398 706 329 239 550 261 151 482 780 88 67 481 84 106 830

Vermont 5 -------------------- 164 4 734 763 320 360 344 148 263 086 110 243 790 38 19 296 117 66 501

Virginia 37 --------------------- 360 48 048 593 1 486 2 467 456 754 2 001 380 531 1 893 711 223 107 669 350 167 714

Washington 31 ----------------- 683 40 909 824 1 474 2 560 514 717 1 605 766 531 1 470 388 186 135 378 403 574 739

West Virginia 10 --------------- 480 11 194 130 595 758 056 302 598 240 245 572 549 57 25 691 164 68 172

Wisconsin 31 ------------------ 955 38 350 527 1 676 2 585 527 839 1 967 927 647 1 865 955 192 101 972 562 375 997

Wyoming 3 ------------------- 748 3 554 153 184 160 115 101 111 630 68 100 246 33 11 384 58 40 982

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–17
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 8

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 4. Establishments and Sales for States: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

Geographic area

Building materials and garden supplies stores

(SIC 52)mCon.

General merchandise stores

(SIC 53)

Department stores (excl. leased depts.) 1

(SIC 531)

Retail nurseries, lawn

and garden supply stores

(SIC 526)

Manufactured (mobile) home dealers

(SIC 527)

Total

Department stores

(incl. leased depts.) 1 2

(SIC 531) Total Conventional1

(SIC 531 pt.)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

United States 10 ------ 857 6 327 846 4 053 5 712 146 34 606 245 329 695 11 001 190 784 927 11 001 186 422 670 2 388 49 747 724

Alabama 166 ------------------- 62 885 116 162 122 818 3 902 965 196 3 174 696 196 3 116 856 36 608 356

Alaska 8 --------------------- (D) 3 (D) 123 703 676 10 311 124 10 309 398 – –

Arizona 135 -------------------- 65 723 99 132 265 383 3 880 354 155 2 908 718 155 2 846 776 43 860 203

Arkansas 107 ------------------- 31 774 70 72 127 426 2 762 540 125 2 340 035 125 2 318 215 8 (D)

California 932 ------------------- 583 797 234 248 697 2 440 28 661 546 912 19 448 451 912 18 935 728 348 8 230 607

Colorado 91 ------------------- 52 201 50 61 194 374 3 618 432 157 2 790 300 157 2 743 661 35 712 819

Connecticut 186 ----------------- 135 139 7 5 760 350 2 970 510 146 2 360 003 146 2 297 509 30 (D)

Delaware 45 ------------------- 29 256 27 48 983 124 969 866 44 703 874 44 693 325 7 (D)

District of Columbia 1 --------- (D) – – 34 204 096 6 180 425 6 172 953 3 (D)

Florida 687 --------------------- 315 631 295 377 123 1 631 14 096 715 603 10 525 318 603 10 262 149 146 2 555 886

Georgia 314 -------------------- 167 343 161 218 369 1 107 6 612 794 316 5 288 403 316 5 180 814 84 (D)

Hawaii 17 --------------------- 12 429 – – 147 1 868 516 22 (D) 22 (D) 11 (D)

Idaho 41 ---------------------- 23 859 26 63 553 177 898 261 55 670 782 55 653 419 11 (D)

Illinois 438 ---------------------- 343 495 83 75 951 1 385 10 561 385 483 8 857 019 483 8 557 588 97 2 307 111

Indiana 373 --------------------- 212 029 110 178 548 855 5 919 717 317 4 937 548 317 4 838 610 53 864 263

Iowa 174 ----------------------- 107 412 35 53 010 540 2 796 215 185 2 343 679 185 2 306 406 32 (D)

Kansas 115 --------------------- 64 425 48 56 726 379 2 693 222 126 (D) 126 (D) 14 (D)

Kentucky 153 ------------------- 71 608 111 190 003 718 3 631 967 206 3 007 402 206 2 958 855 32 (D)

Louisiana 172 ------------------- (D) 50 76 604 691 4 354 115 188 3 475 229 188 3 416 401 38 757 222

Maine 79 ---------------------- 39 405 39 54 412 374 1 058 894 67 655 210 67 637 418 6 (D)

Maryland 209 ------------------- 146 799 29 27 008 598 4 391 669 192 3 297 836 192 3 197 413 41 1 042 782

Massachusetts 211 -------------- (D) 6 (D) 712 4 900 160 243 3 563 922 243 3 463 605 40 (D)

Michigan 464 ------------------- 386 461 173 274 632 1 129 11 775 693 416 10 343 997 416 10 163 285 73 1 551 107

Minnesota 222 ------------------ 147 402 48 59 289 627 4 680 893 211 3 899 094 211 3 802 325 46 965 160

Mississippi 123 ------------------ 47 351 85 100 826 642 2 417 686 119 1 911 354 119 1 875 300 18 334 381

Missouri 250 -------------------- 147 170 121 127 153 778 5 774 602 264 4 975 100 264 4 883 095 38 901 824

Montana 26 ------------------- 12 662 24 40 306 150 737 110 44 528 059 44 514 500 11 97 190

Nebraska 93 ------------------- 53 507 27 22 733 300 1 567 227 83 1 219 632 83 1 189 722 16 203 681

Nevada 39 -------------------- 37 036 58 76 468 114 1 483 850 56 1 151 875 56 1 126 221 16 398 264

New Hampshire 65 ------------- 41 794 22 13 606 261 1 497 033 78 1 003 976 78 979 877 7 (D)

New Jersey 324 ----------------- 205 008 10 5 267 874 6 604 979 249 5 267 575 249 5 111 613 62 2 053 311

New Mexico 36 ---------------- 16 878 54 89 596 211 1 484 840 69 1 190 183 69 1 170 338 8 (D)

New York 620 ------------------ 397 017 152 196 120 2 278 12 176 418 486 9 466 151 486 9 215 735 114 3 952 865

North Carolina 373 -------------- 152 378 321 491 624 1 378 5 912 281 402 4 715 071 402 4 637 201 86 (D)

North Dakota 34 --------------- 19 518 17 16 888 126 759 549 41 626 536 41 610 945 8 (D)

Ohio 560 ----------------------- 360 173 127 189 619 1 456 10 787 235 546 8 948 219 546 8 707 359 113 (D)

Oklahoma 150 ------------------ 70 577 37 42 210 501 3 295 271 163 2 731 585 163 2 682 168 23 (D)

Oregon 151 -------------------- 85 746 93 194 819 379 3 978 867 130 2 766 674 130 2 723 943 19 423 587

Pennsylvania 577 --------------- 347 952 169 212 351 1 631 10 166 652 566 8 546 414 566 8 289 766 123 (D)

Rhode Island 36 --------------- 12 250 – – 90 721 238 31 527 132 31 517 022 3 (D)

South Carolina 177 -------------- 65 363 167 299 971 622 2 989 908 178 2 417 075 178 2 378 329 42 478 915

South Dakota 29 --------------- 14 602 21 32 837 155 685 710 39 533 094 39 524 884 5 (D)

Tennessee 207 ----------------- 103 708 137 231 508 907 5 223 096 273 4 213 122 273 4 119 397 52 (D)

Texas 738 ---------------------- 412 711 205 312 914 2 444 18 926 824 766 14 849 691 766 14 578 411 168 4 143 005

Utah 62 ----------------------- 33 715 13 15 523 188 1 643 195 93 1 273 007 93 1 240 564 19 (D)

Vermont 38 -------------------- 14 873 17 15 884 138 327 161 26 251 880 26 232 924 1 (D)

Virginia 276 --------------------- 148 999 106 149 363 1 107 5 769 775 318 4 296 338 318 4 192 294 70 1 107 789

Washington 236 ----------------- 152 091 118 227 918 469 5 452 239 175 3 779 557 175 3 691 671 42 (D)

West Virginia 64 --------------- 23 485 65 68 159 449 1 628 321 106 1 305 112 106 1 277 263 18 190 776

Wisconsin 213 ------------------ 148 286 62 93 317 707 4 940 937 289 3 988 671 289 3 904 179 69 (D)

Wyoming 20 ------------------- 4 349 5 3 154 109 463 490 30 363 269 30 353 664 3 (D)

See footnotes at end of table.

US–18nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 9

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 4. Establishments and Sales for States: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

Geographic area

General merchandise stores

(SIC 53)mCon.

Department stores (excl. leased depts.) 1

(SIC 531)mCon.

Discount or mass

merchandising1

(SIC 531 pt.)

National chain1

(SIC 531 pt.)

Variety stores

(SIC 533)

Miscellaneous general

merchandise stores (SIC 539)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

United States 6 ------ 737 101 270 187 1 876 35 404 759 12 561 9 056 820 11 044 49 850 205

Alabama 132 ------------------- (D) 28 (D) 399 220 434 223 565 675

Alaska 5 --------------------- (D) 5 (D) 14 15 827 99 378 451

Arizona 82 -------------------- 1 465 119 30 521 454 72 47 611 156 985 967

Arkansas 100 ------------------- (D) 17 (D) 154 69 452 147 374 873

California 359 ------------------- 6 451 038 205 4 254 083 565 543 086 963 9 182 732

Colorado 84 ------------------- 1 501 753 38 529 089 66 59 262 151 815 509

Connecticut 97 ----------------- 1 127 064 19 (D) 109 73 619 95 599 382

Delaware 30 ------------------- 291 984 7 (D) 46 46 160 34 230 381

District of Columbia 1 --------- (D) 2 (D) 10 (D) 18 (D)

Florida 332 --------------------- 5 303 479 125 2 402 784 575 460 233 453 3 374 333

Georgia 197 -------------------- 2 986 087 35 (D) 505 333 942 286 1 098 038

Hawaii 1 --------------------- (D) 10 (D) 33 (D) 92 1 102 991

Idaho 34 ---------------------- 422 415 10 (D) 50 48 555 72 196 287

Illinois 288 ---------------------- 4 282 472 98 1 968 005 489 334 838 413 1 668 959

Indiana 214 --------------------- 3 081 370 50 892 977 330 253 234 208 827 873

Iowa 123 ----------------------- 1 623 301 30 (D) 166 65 264 189 424 545

Kansas 84 --------------------- 1 483 521 28 393 995 115 (D) 138 438 340

Kentucky 156 ------------------- 2 107 257 18 (D) 340 232 973 172 440 139

Louisiana 119 ------------------- (D) 31 (D) 322 193 336 181 744 378

Maine 53 ---------------------- 440 705 8 (D) 138 69 105 169 352 371

Maryland 105 ------------------- 1 156 364 46 998 267 225 224 303 181 969 953

Massachusetts 176 -------------- 1 865 853 27 (D) 241 159 210 228 1 277 345

Michigan 279 ------------------- 7 121 898 64 1 490 280 420 322 979 293 1 289 429

Minnesota 131 ------------------ 2 171 934 34 665 231 144 94 188 272 784 380

Mississippi 85 ------------------ (D) 16 (D) 299 143 788 224 398 598

Missouri 187 -------------------- 3 284 250 39 697 021 294 171 340 220 720 167

Montana 22 ------------------- 302 713 11 114 597 40 27 574 66 195 036

Nebraska 57 ------------------- 830 427 10 155 614 72 22 896 145 354 609

Nevada 29 -------------------- 475 214 11 252 743 18 (D) 40 (D)

New Hampshire 58 ------------- 599 583 13 (D) 60 27 006 123 490 150

New Jersey 150 ----------------- (D) 37 (D) 322 317 016 303 1 176 350

New Mexico 47 ---------------- (D) 14 187 740 34 28 672 108 285 830

New York 286 ------------------ (D) 86 (D) 852 829 686 940 2 130 997

North Carolina 279 -------------- 2 977 642 37 (D) 614 360 362 362 914 718

North Dakota 24 --------------- 393 835 9 (D) 44 17 597 41 131 007

Ohio 352 ----------------------- 4 830 239 81 (D) 594 562 182 316 1 517 694

Oklahoma 113 ------------------ 1 937 550 27 (D) 190 88 849 148 524 254

Oregon 87 -------------------- 1 868 090 24 432 266 93 67 184 156 1 187 740

Pennsylvania 347 --------------- 3 917 228 96 (D) 667 545 495 398 1 331 391

Rhode Island 22 --------------- 314 195 6 (D) 29 18 768 30 185 448

South Carolina 114 -------------- (D) 22 (D) 318 195 298 126 416 281

South Dakota 30 --------------- 389 807 4 (D) 33 9 449 83 151 377

Tennessee 186 ----------------- 2 758 107 35 (D) 391 270 881 243 832 818

Texas 441 ---------------------- 7 777 905 157 2 657 501 1 014 519 377 664 3 829 036

Utah 63 ----------------------- 750 346 11 (D) 30 23 797 65 378 834

Vermont 19 -------------------- 168 386 6 (D) 35 35 283 77 58 954

Virginia 189 --------------------- 2 088 840 59 995 665 446 302 126 343 1 275 355

Washington 92 ----------------- 1 909 948 41 (D) 103 87 962 191 1 672 606

West Virginia 68 --------------- 764 296 20 322 191 218 154 132 125 196 926

Wisconsin 186 ------------------ 2 473 110 34 (D) 206 116 679 212 920 079

Wyoming 22 ------------------- (D) 5 37 284 17 4 629 62 105 197

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–19
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 10

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 4. Establishments and Sales for States: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

Geographic area

Food stores

(SIC 54)

Grocery stores

(SIC 541)

Total

Total

Supermarkets and other

general-line grocery stores (SIC 541 pt.)Convenience food stores

(SIC 541 pt.)

Convenience food/

gasoline stores

(SIC 541 pt.)

Delicatessens

(SIC 541 pt.)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

United States 180 ------ 568 369 198 584 133 263 352 558 184 73 357 314 132 652 30 748 17 310 965 23 035 19 338 037 6 123 1 776 530

Alabama 3 ------------------- 128 5 681 699 2 724 5 577 627 1 430 4 847 579 441 205 865 821 514 593 32 9 590

Alaska 374 --------------------- 1 155 641 303 1 125 979 223 1 064 923 42 21 837 31 37 768 7 1 451

Arizona 2 -------------------- 198 6 176 150 1 709 6 016 578 764 5 264 959 342 183 554 554 555 141 49 12 924

Arkansas 1 ------------------- 880 3 062 952 1 589 3 005 441 967 2 617 238 254 121 086 350 261 665 18 5 452

California 18 ------------------- 487 45 350 158 11 774 42 733 068 7 251 39 588 792 2 691 1 784 447 953 1 077 939 879 281 890

Colorado 1 ------------------- 768 5 603 150 1 197 5 454 639 604 4 965 939 250 152 971 300 323 052 43 12 677

Connecticut 2 ----------------- 272 5 462 518 1 495 5 151 889 780 4 780 981 451 246 269 74 76 353 190 48 286

Delaware 535 ------------------- 1 173 070 374 1 100 141 163 945 159 119 87 596 61 59 945 31 7 441

District of Columbia 426 --------- 639 633 312 565 989 187 512 004 64 32 638 2 (D) 59 (D)

Florida 9 --------------------- 734 21 195 238 7 306 20 270 196 3 224 17 618 695 1 875 894 142 1 974 1 686 308 233 71 051

Georgia 4 -------------------- 737 9 331 237 3 997 9 094 868 1 970 7 879 320 717 332 075 1 241 861 045 69 22 428

Hawaii 870 --------------------- 2 078 986 604 1 942 447 319 1 579 397 219 292 129 38 60 277 28 10 644

Idaho 665 ---------------------- 1 634 738 513 1 604 454 337 1 481 643 57 30 829 106 89 131 13 2 851

Illinois 6 ---------------------- 654 14 934 460 4 410 14 064 248 2 940 13 096 801 1 023 603 352 299 309 181 148 54 914

Indiana 2 --------------------- 989 7 319 480 2 167 7 073 592 1 399 6 582 963 412 187 595 322 295 359 34 7 675

Iowa 1 ----------------------- 840 4 083 724 1 415 3 983 485 877 3 510 080 158 94 663 365 376 302 15 2 440

Kansas 1 --------------------- 528 3 367 399 1 156 3 286 302 744 2 941 461 119 54 949 276 286 200 17 3 692

Kentucky 3 ------------------- 010 5 280 435 2 617 5 164 777 1 527 4 496 988 493 251 003 556 406 507 41 10 279

Louisiana 3 ------------------- 681 6 165 724 3 063 5 960 954 1 701 5 082 143 607 343 633 729 525 526 26 9 652

Maine 1 ---------------------- 359 2 326 831 1 114 2 236 880 603 1 921 512 295 115 824 195 195 228 21 4 316

Maryland 3 ------------------- 214 7 730 094 2 344 7 351 733 1 093 6 511 280 890 619 941 167 161 327 194 59 185

Massachusetts 4 -------------- 483 9 442 676 2 784 8 701 562 1 280 7 755 966 1 185 721 737 155 177 262 164 46 597

Michigan 7 ------------------- 155 11 167 907 5 251 10 433 221 2 999 9 149 108 1 799 999 168 283 220 942 170 64 003

Minnesota 2 ------------------ 698 6 066 414 1 801 5 781 825 1 152 5 341 045 330 166 107 275 262 954 44 11 719

Mississippi 2 ------------------ 462 3 422 989 2 222 3 372 513 1 163 2 818 521 394 161 549 645 387 388 20 5 055

Missouri 3 -------------------- 309 6 915 709 2 519 6 711 343 1 503 5 992 845 433 199 780 517 504 440 66 14 278

Montana 653 ------------------- 1 281 545 520 1 248 341 336 1 125 392 54 24 474 117 96 157 13 2 318

Nebraska 1 ------------------- 095 2 156 006 775 2 097 402 565 1 971 906 89 44 389 109 79 705 12 1 402

Nevada 766 -------------------- 2 359 009 579 2 294 278 244 1 978 132 211 185 323 95 124 090 29 6 733

New Hampshire 1 ------------- 052 2 408 522 813 2 318 795 377 2 025 555 290 172 694 126 117 213 20 3 333

New Jersey 6 ----------------- 364 13 044 385 4 122 12 199 052 2 090 10 918 622 1 312 1 045 917 78 53 956 642 180 557

New Mexico 899 ---------------- 2 202 186 694 2 141 231 310 1 893 630 167 82 596 203 162 609 14 2 396

New York 16 ------------------ 544 24 358 709 10 740 22 086 498 6 780 20 158 574 1 945 1 103 342 603 440 269 1 412 384 313

North Carolina 5 -------------- 306 9 828 997 4 574 9 620 692 2 426 8 313 383 743 359 384 1 338 931 530 67 16 395

North Dakota 470 --------------- 782 859 359 758 886 279 689 974 17 (D) 62 57 355 1 (D)

Ohio 7 ----------------------- 463 15 047 576 5 409 14 367 507 2 825 12 961 873 1 963 969 980 438 369 837 183 65 817

Oklahoma 2 ------------------ 531 4 183 679 2 111 4 102 336 1 082 3 379 217 326 154 555 681 562 510 22 6 054

Oregon 2 -------------------- 372 4 352 779 1 847 4 210 459 963 3 765 252 667 339 249 120 83 433 97 22 525

Pennsylvania 8 --------------- 368 17 500 521 5 632 16 497 937 3 167 14 907 804 1 563 958 188 548 522 727 354 109 218

Rhode Island 753 --------------- 1 418 258 442 1 296 850 205 1 172 350 165 86 437 34 30 426 38 7 637

South Carolina 2 -------------- 683 5 179 448 2 295 5 072 413 1 131 4 422 440 451 197 797 671 440 715 42 11 461

South Dakota 533 --------------- 903 018 411 881 246 298 809 542 38 14 806 70 (D) 5 (D)

Tennessee 4 ----------------- 012 7 031 654 3 495 6 889 120 1 946 5 951 521 598 271 290 883 644 241 68 22 068

Texas 12 ---------------------- 631 26 362 848 10 286 25 652 804 4 770 21 685 578 1 871 913 423 3 504 3 015 491 141 38 312

Utah 834 ----------------------- 2 729 639 623 2 671 007 316 2 424 515 95 48 767 193 192 029 19 5 696

Vermont 784 -------------------- 1 118 914 651 1 085 364 364 881 017 152 78 053 118 121 368 17 4 926

Virginia 4 --------------------- 883 9 884 791 4 076 9 629 438 1 938 8 145 444 1 117 701 932 886 747 975 135 34 087

Washington 3 ----------------- 609 8 192 938 2 706 7 924 740 1 492 7 167 726 704 380 406 386 344 389 124 32 219

West Virginia 1 --------------- 526 2 540 886 1 343 2 500 811 731 2 112 126 302 134 035 296 251 357 14 3 293

Wisconsin 2 ------------------ 726 6 886 014 1 801 6 579 648 1 390 6 295 962 224 117 612 146 153 385 41 12 689

Wyoming 255 ------------------- 674 391 199 665 578 132 627 775 24 (D) 41 27 410 2 (D)

See footnotes at end of table.

US–20nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 11

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 4. Establishments and Sales for States: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

Geographic area

Food stores

(SIC 54)mCon.

Retail bakeries (SIC 546)Other food stores

(SIC 543, 4, 5, 9)

Meat and fish

(seafood) markets

(SIC 542) Total

Retail bakeriesm baking and selling

(SIC 546 pt.)

Retail bakeriesm selling only

(SIC 546 pt.)

Total

Fruit and vegetable markets

(SIC 543)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

United States 8 ------ 941 5 040 901 20 418 5 386 894 18 428 4 829 997 1 990 556 897 17 946 6 212 605 2 971 1 809 287

Alabama 106 ------------------- 39 770 145 28 346 113 24 241 32 4 105 153 35 956 28 10 394

Alaska 17 --------------------- 14 851 28 7 141 26 (D) 2 (D) 26 7 670 3 (D)

Arizona 45 -------------------- 20 016 193 58 306 186 56 701 7 1 605 251 81 250 22 6 835

Arkansas 65 ------------------- 20 085 139 20 430 132 18 529 7 1 901 87 16 996 11 3 079

California 902 ------------------- 639 157 3 398 860 800 3 142 776 704 256 84 096 2 413 1 117 133 315 253 169

Colorado 52 ------------------- 23 079 265 58 576 248 53 403 17 5 173 254 66 856 13 5 552

Connecticut 114 ----------------- 72 323 410 146 886 372 137 740 38 9 146 253 91 420 46 25 974

Delaware 37 ------------------- 26 312 61 21 028 56 19 168 5 1 860 63 25 589 11 8 930

District of Columbia 32 --------- 49 388 46 12 683 40 11 129 6 1 554 36 11 573 2 (D)

Florida 509 --------------------- 331 345 841 213 043 755 193 808 86 19 235 1 078 380 654 241 137 303

Georgia 184 -------------------- 70 912 269 74 992 234 66 605 35 8 387 287 90 465 41 21 760

Hawaii 50 --------------------- 38 099 116 50 811 101 44 166 15 6 645 100 47 629 24 8 294

Idaho 22 ---------------------- 6 372 64 10 464 61 (D) 3 (D) 66 13 448 2 (D)

Illinois 354 ---------------------- 210 138 966 309 401 867 277 591 99 31 810 924 350 673 114 114 972

Indiana 123 --------------------- 67 265 363 82 898 289 67 849 74 15 049 336 95 725 57 34 923

Iowa 108 ----------------------- 35 517 164 35 227 157 33 540 7 1 687 153 29 495 11 4 177

Kansas 66 --------------------- 22 894 174 28 302 167 27 209 7 1 093 132 29 901 7 (D)

Kentucky 71 ------------------- 31 660 172 41 956 149 37 571 23 4 385 150 42 042 45 21 348

Louisiana 191 ------------------- 94 549 259 60 456 182 42 264 77 18 192 168 49 765 18 7 074

Maine 56 ---------------------- 39 036 112 27 736 107 26 597 5 1 139 77 23 179 12 (D)

Maryland 235 ------------------- 175 106 294 92 910 245 75 641 49 17 269 341 110 345 66 30 583

Massachusetts 274 -------------- 191 646 922 336 625 871 318 206 51 18 419 503 212 843 97 96 331

Michigan 312 ------------------- 180 220 906 207 542 787 182 481 119 25 061 686 346 924 157 184 257

Minnesota 175 ------------------ 92 031 441 129 121 359 (D) 82 (D) 281 63 437 22 6 652

Mississippi 55 ------------------ 18 888 94 14 281 90 (D) 4 (D) 91 17 307 20 3 572

Missouri 120 -------------------- 51 931 367 82 541 347 75 538 20 7 003 303 69 894 37 13 587

Montana 32 ------------------- 12 054 47 7 897 46 (D) 1 (D) 54 13 253 4 (D)

Nebraska 58 ------------------- 16 186 135 20 347 130 18 985 5 1 362 127 22 071 7 669

Nevada 11 -------------------- 8 754 66 15 417 62 (D) 4 (D) 110 40 560 2 (D)

New Hampshire 31 ------------- 29 241 113 36 219 100 32 627 13 3 592 95 24 267 6 (D)

New Jersey 436 ----------------- 242 941 994 324 356 923 298 409 71 25 947 812 278 036 152 76 776

New Mexico 26 ---------------- 12 288 86 19 230 83 18 350 3 880 93 29 437 18 10 042

New York 1 ------------------ 445 818 096 2 220 656 335 2 003 594 699 217 61 636 2 139 797 780 554 285 257

North Carolina 187 -------------- 71 190 231 54 772 194 46 664 37 8 108 314 82 343 63 19 599

North Dakota 31 --------------- 9 558 45 8 182 44 (D) 1 (D) 35 6 233 – –

Ohio 387 ----------------------- 213 520 835 201 056 686 164 197 149 36 859 832 265 493 111 65 495

Oklahoma 55 ------------------ 19 199 227 32 724 219 30 655 8 2 069 138 29 420 6 1 442

Oregon 70 -------------------- 27 137 191 40 980 173 (D) 18 (D) 264 74 203 28 18 284

Pennsylvania 597 --------------- 378 085 1 000 265 449 886 233 810 114 31 639 1 139 359 050 215 114 480

Rhode Island 53 --------------- 31 622 180 61 307 170 58 889 10 2 418 78 28 479 19 13 505

South Carolina 97 -------------- 42 924 133 23 746 120 21 725 13 2 021 158 40 365 42 12 575

South Dakota 43 --------------- 8 236 52 7 768 50 (D) 2 (D) 27 5 768 2 (D)

Tennessee 67 ----------------- 24 028 192 39 041 177 34 830 15 4 211 258 79 465 66 38 495

Texas 483 ---------------------- 263 815 1 118 218 445 1 082 207 990 36 10 455 744 227 784 79 59 779

Utah 22 ----------------------- 5 879 90 28 830 86 (D) 4 (D) 99 23 923 5 (D)

Vermont 15 -------------------- 7 220 73 14 596 68 13 153 5 1 443 45 11 734 7 1 330

Virginia 167 --------------------- 89 312 304 74 308 255 61 519 49 12 789 336 91 733 54 20 751

Washington 144 ----------------- 52 557 370 90 507 344 82 841 26 7 666 389 125 134 59 28 376

West Virginia 23 --------------- 7 200 79 15 016 69 12 838 10 2 178 81 17 859 19 8 025

Wisconsin 173 ------------------ 85 357 402 114 134 349 97 068 53 17 066 350 106 875 31 18 302

Wyoming 13 ------------------- 1 912 26 3 730 26 3 730 – – 17 3 171 – –

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–21
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 12

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 4. Establishments and Sales for States: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

Geographic area

Food stores

(SIC 54)mCon.

Automotive dealers

(SIC 55 ex. 554)

Other food stores

(SIC 543, 4, 5, 9) mCon.

Candy, nut, and

confectionery stores

(SIC 544)

Dairy products stores

(SIC 545)

Miscellaneous

food stores

(SIC 549)

Total

New and used

car dealers

(SIC 551)

Used car dealers (SIC 552)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

United States 5 ------ 029 1 223 598 2 340 514 643 7 606 2 665 077 96 373 395 147 882 24 380 333 801 369 18 672 16 031 345

Alabama 30 ------------------- 5 039 19 2 326 76 18 197 2 208 6 174 840 374 4 929 064 511 397 921

Alaska 7 --------------------- 1 167 1 (D) 15 5 566 191 784 134 36 608 160 14 13 240

Arizona 49 -------------------- 14 304 20 4 545 160 55 566 1 382 6 379 466 256 5 148 280 236 308 997

Arkansas 25 ------------------- 2 906 13 1 289 38 9 722 1 345 3 749 860 311 3 047 929 330 250 943

California 605 ------------------- 244 246 306 78 496 1 187 541 222 9 104 43 531 121 2 009 36 420 174 1 013 1 133 384

Colorado 78 ------------------- 15 704 42 7 466 121 38 134 1 340 6 018 542 262 5 024 487 284 281 362

Connecticut 62 ----------------- 14 483 41 8 048 104 42 915 1 089 5 019 243 365 4 405 345 180 135 400

Delaware 18 ------------------- 5 106 7 2 467 27 9 086 247 1 242 664 68 1 061 654 50 48 636

District of Columbia 15 --------- 3 536 3 (D) 16 7 093 47 126 131 7 91 544 12 (D)

Florida 219 --------------------- 41 004 96 13 934 522 188 413 5 954 30 029 353 994 25 324 146 1 343 1 401 977

Georgia 56 -------------------- 12 651 36 4 237 154 51 817 2 916 10 946 594 654 9 307 039 595 447 284

Hawaii 30 --------------------- 15 746 5 1 623 41 21 966 286 1 489 925 76 1 289 798 23 26 485

Idaho 13 ---------------------- 2 721 12 (D) 39 8 571 597 1 925 561 124 1 447 006 102 128 403

Illinois 377 ---------------------- 92 782 131 20 792 302 122 127 3 583 18 388 844 1 217 16 282 994 648 595 169

Indiana 132 --------------------- 26 432 42 6 277 105 28 093 2 451 8 840 460 603 7 268 544 627 507 817

Iowa 49 ----------------------- 7 322 31 2 777 62 15 219 1 415 4 416 847 489 3 758 506 248 158 246

Kansas 37 --------------------- 9 267 12 (D) 76 17 974 1 198 3 952 958 332 3 366 051 232 196 289

Kentucky 46 ------------------- 6 468 10 1 830 49 12 396 1 752 4 927 111 413 4 011 657 387 351 153

Louisiana 34 ------------------- 11 722 10 616 106 30 353 1 521 5 841 599 345 4 952 009 212 (D)

Maine 19 ---------------------- 5 947 7 (D) 39 11 098 596 1 741 628 172 1 430 340 116 71 048

Maryland 104 ------------------- 26 687 35 6 711 136 46 364 1 401 7 677 226 381 6 743 986 194 157 543

Massachusetts 162 -------------- 37 806 66 13 402 178 65 304 1 677 8 338 979 620 7 405 786 300 273 310

Michigan 221 ------------------- 59 936 84 9 802 224 92 929 3 299 16 587 856 886 14 250 202 502 451 015

Minnesota 111 ------------------ 17 878 33 5 457 115 33 450 1 599 7 368 600 555 6 364 491 201 215 487

Mississippi 14 ------------------ 2 056 10 995 47 10 684 1 343 3 104 315 253 2 457 432 289 193 782

Missouri 112 -------------------- 21 436 45 7 229 109 27 642 2 403 8 429 501 663 7 149 848 506 401 604

Montana 12 ------------------- 2 150 3 (D) 35 9 439 445 1 380 443 141 1 112 280 63 63 625

Nebraska 31 ------------------- 5 199 45 5 628 44 10 575 817 2 367 629 224 1 992 800 198 146 813

Nevada 56 -------------------- 24 016 8 (D) 44 14 261 474 2 276 046 91 1 862 449 100 87 267

New Hampshire 40 ------------- 7 457 14 (D) 35 10 517 500 2 052 218 177 1 763 533 87 66 573

New Jersey 244 ----------------- 66 617 102 20 990 314 113 653 2 263 12 993 960 816 11 726 934 345 294 574

New Mexico 16 ---------------- 3 927 13 2 557 46 12 911 676 2 305 178 160 1 859 806 121 106 073

New York 455 ------------------ 82 369 385 126 796 745 303 358 4 484 18 971 678 1 399 16 567 000 880 629 781

North Carolina 76 -------------- 12 441 10 5 920 165 44 383 3 530 10 680 946 774 8 712 240 909 633 612

North Dakota 11 --------------- (D) 4 (D) 20 3 763 312 1 123 809 122 967 217 44 29 712

Ohio 285 ----------------------- 68 129 128 36 327 308 95 542 4 023 16 659 751 1 116 14 218 742 818 696 473

Oklahoma 47 ------------------ 7 496 18 1 839 67 18 643 1 517 5 262 209 401 4 462 197 224 209 556

Oregon 67 -------------------- 15 617 45 9 779 124 30 523 1 308 5 255 748 288 4 022 541 216 241 673

Pennsylvania 346 --------------- 69 011 164 38 863 414 136 696 4 339 17 840 677 1 566 15 587 492 868 768 132

Rhode Island 20 --------------- 2 694 14 4 253 25 8 027 315 1 060 798 84 882 621 84 43 874

South Carolina 44 -------------- 9 710 7 4 016 65 14 064 1 795 5 082 738 364 4 143 023 410 259 936

South Dakota 10 --------------- 2 097 2 (D) 13 2 963 378 1 189 437 123 995 492 65 42 932

Tennessee 82 ----------------- 18 113 22 2 618 88 20 239 2 381 8 837 718 487 7 250 673 616 492 963

Texas 176 ---------------------- 33 771 61 11 702 428 122 532 7 241 29 982 366 1 335 25 086 095 1 610 1 327 934

Utah 31 ----------------------- 7 215 19 (D) 44 13 219 694 2 733 289 176 2 154 447 125 188 700

Vermont 8 -------------------- 1 129 6 1 258 24 8 017 292 886 845 106 760 465 65 42 387

Virginia 87 --------------------- 20 374 36 4 140 159 46 468 2 481 9 707 268 598 8 304 356 603 460 273

Washington 89 ----------------- 23 384 33 7 419 208 65 955 2 178 8 086 149 405 6 239 246 400 373 741

West Virginia 28 --------------- (D) 10 (D) 24 5 114 834 2 348 900 243 1 962 848 183 119 356

Wisconsin 135 ------------------ 29 460 73 18 334 111 40 779 1 891 8 291 745 635 6 998 088 460 384 756

Wyoming 8 ------------------- (D) 1 (D) 8 1 535 261 736 979 84 622 312 23 14 082

See footnotes at end of table.

US–22nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 13

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 4. Establishments and Sales for States: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

Geographic area

Automotive dealers

(SIC 55 ex. 554)mCon.

Auto and home supply stores

(SIC 553)

Miscellaneous automotive dealers (SIC 555, 6, 7, 9)

Total

Auto parts, tires and

accessories stores (SIC 553 pt.)

Home and auto

supply stores

(SIC 553 pt.)

Total Boat dealers

(SIC 555)

Recreational

vehicle dealers (SIC 556)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

United States 41 ------ 308 28 565 320 39 154 26 949 262 2 154 1 616 058 12 013 16 749 848 4 773 5 537 133 2 826 6 313 817

Alabama 1 ------------------- 120 615 651 1 040 579 841 80 35 810 203 232 204 93 82 589 41 83 694

Alaska 70 --------------------- 65 358 68 (D) 2 (D) 71 97 376 40 46 093 9 20 825

Arizona 683 -------------------- 579 100 664 569 560 19 9 540 207 343 089 42 40 532 83 206 740

Arkansas 576 ------------------- 277 894 511 252 166 65 25 728 128 173 094 44 56 141 28 52 739

California 4 ------------------- 825 3 940 465 4 709 3 887 051 116 53 414 1 257 2 037 098 333 384 816 374 960 675

Colorado 621 ------------------- 440 557 605 434 640 16 5 917 173 272 136 27 31 333 60 142 413

Connecticut 399 ----------------- 321 684 375 298 853 24 22 831 145 156 814 71 75 981 16 24 815

Delaware 91 ------------------- 79 698 90 (D) 1 (D) 38 52 676 17 22 447 7 15 330

District of Columbia 27 --------- 22 179 27 22 179 – – 1 (D) 1 (D) – –

Florida 2 --------------------- 546 1 628 436 2 452 1 583 198 94 45 238 1 071 1 674 794 644 813 776 182 550 128

Georgia 1 -------------------- 430 914 684 1 333 867 636 97 47 048 237 277 587 101 103 674 35 70 615

Hawaii 153 --------------------- 131 361 150 (D) 3 (D) 34 42 281 15 (D) 2 (D)

Idaho 259 ---------------------- 194 976 251 192 156 8 2 820 112 155 176 34 32 884 40 79 636

Illinois 1 ---------------------- 330 1 018 943 1 249 839 281 81 179 662 388 491 738 121 157 946 88 131 590

Indiana 930 --------------------- 609 348 890 559 671 40 49 677 291 454 751 93 120 810 86 221 015

Iowa 502 ----------------------- 289 745 470 269 018 32 20 727 176 210 350 58 46 465 44 82 012

Kansas 513 --------------------- 287 146 482 276 018 31 11 128 121 103 472 34 21 952 33 41 099

Kentucky 804 ------------------- 419 349 765 406 386 39 12 963 148 144 952 64 57 157 28 40 603

Louisiana 779 ------------------- 496 800 726 475 466 53 21 334 185 (D) 105 102 906 31 77 859

Maine 206 ---------------------- 134 772 195 128 877 11 5 895 102 105 468 46 35 409 23 29 891

Maryland 592 ------------------- 473 361 575 459 152 17 14 209 234 302 336 150 182 078 29 46 250

Massachusetts 573 -------------- 428 133 555 (D) 18 (D) 184 231 750 94 98 000 27 (D)

Michigan 1 ------------------- 398 1 035 839 1 311 910 098 87 125 741 513 850 800 234 389 137 134 281 554

Minnesota 575 ------------------ 386 430 556 376 875 19 9 555 268 402 192 117 166 853 62 111 937

Mississippi 709 ------------------ 374 609 605 323 008 104 51 601 92 78 492 39 24 665 14 16 104

Missouri 942 -------------------- 528 950 887 508 750 55 20 200 292 349 099 118 149 323 64 104 720

Montana 173 ------------------- 108 485 166 105 118 7 3 367 68 96 053 14 17 277 20 52 470

Nebraska 311 ------------------- 157 059 292 149 920 19 7 139 84 70 957 24 (D) 20 30 735

Nevada 206 -------------------- 177 507 199 172 158 7 5 349 77 148 823 18 28 805 29 85 598

New Hampshire 137 ------------- 98 256 136 (D) 1 (D) 99 123 856 28 39 344 28 44 199

New Jersey 850 ----------------- 659 347 832 649 060 18 10 287 252 313 105 142 153 584 32 (D)

New Mexico 313 ---------------- 229 358 291 214 596 22 14 762 82 109 941 10 5 349 38 70 857

New York 1 ------------------ 656 1 136 317 1 589 1 109 274 67 27 043 549 638 580 259 280 924 112 184 022

North Carolina 1 -------------- 534 939 350 1 388 856 474 146 82 876 313 395 744 133 155 929 51 87 881

North Dakota 94 --------------- 69 797 91 (D) 3 (D) 52 57 083 16 13 419 13 26 012

Ohio 1 ----------------------- 649 1 144 301 1 571 1 017 313 78 126 988 440 600 235 144 150 646 115 214 721

Oklahoma 730 ------------------ 355 334 679 332 423 51 22 911 162 235 122 58 58 806 33 112 125

Oregon 552 -------------------- 476 270 538 467 557 14 8 713 252 515 264 71 88 376 104 363 662

Pennsylvania 1 --------------- 493 1 005 860 1 443 985 228 50 20 632 412 479 193 104 94 350 122 197 409

Rhode Island 108 --------------- 88 891 89 (D) 19 (D) 39 45 412 27 (D) 3 (D)

South Carolina 833 -------------- 467 045 734 416 095 99 50 950 188 212 734 102 98 090 27 62 328

South Dakota 136 --------------- 89 198 129 (D) 7 (D) 54 61 815 12 7 951 19 27 405

Tennessee 1 ----------------- 040 678 209 957 645 610 83 32 599 238 415 873 97 103 648 39 198 991

Texas 3 ---------------------- 563 2 559 133 3 340 2 457 614 223 101 519 733 1 009 204 265 303 757 183 389 765

Utah 297 ----------------------- 232 889 288 230 022 9 2 867 96 157 253 27 37 624 36 82 045

Vermont 81 -------------------- 44 807 76 43 013 5 1 794 40 39 186 12 8 728 10 14 810

Virginia 1 --------------------- 027 671 934 987 657 658 40 14 276 253 270 705 120 118 029 41 59 317

Washington 961 ----------------- 773 454 934 764 187 27 9 267 412 699 708 182 255 331 109 310 531

West Virginia 335 --------------- 181 513 312 171 457 23 10 056 73 85 183 22 (D) 18 28 799

Wisconsin 459 ------------------ 458 462 439 (D) 20 (D) 337 450 439 145 194 789 72 115 111

Wyoming 117 ------------------- 67 076 113 66 206 4 870 37 33 509 6 (D) 12 16 797

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–23
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 14

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 4. Establishments and Sales for States: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

Geographic area

Automotive dealers

(SIC 55 ex. 554)mCon.

Miscellaneous automotive dealers (SIC 555, 6, 7, 9) mCon.

Motorcycle dealers

(SIC 557)

Automotive dealers, n.e.c.

(SIC 559)

Gasoline service stations

(SIC 554)

Total

Gasoline/convenience food stores (SIC 554 pt.)Other gasoline service stations

and truck stops

(SIC 554 pt.)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

United States 3 ------ 585 4 162 684 829 736 214 105 334 134 705 359 33 998 47 993 477 71 336 86 711 882

Alabama 57 ------------------- 61 576 12 4 345 2 185 2 137 487 1 025 1 105 392 1 160 1 032 095

Alaska 11 --------------------- 21 289 11 9 169 204 286 345 47 72 626 157 213 719

Arizona 66 -------------------- 83 662 16 12 155 1 169 2 194 106 348 643 624 821 1 550 482

Arkansas 47 ------------------- 59 950 9 4 264 1 299 1 360 295 588 651 421 711 708 874

California 456 ------------------- 587 631 94 103 976 8 387 14 696 788 1 376 2 669 579 7 011 12 027 209

Colorado 71 ------------------- 86 493 15 11 897 1 459 1 961 027 509 718 924 950 1 242 103

Connecticut 51 ----------------- 53 331 7 2 687 1 460 1 908 264 298 458 902 1 162 1 449 362

Delaware 11 ------------------- (D) 3 (D) 287 429 539 89 151 964 198 277 575

District of Columbia – --------- – – – 117 206 614 7 16 573 110 190 041

Florida 166 --------------------- 241 256 79 69 634 5 602 7 463 081 2 482 3 514 285 3 120 3 948 796

Georgia 86 -------------------- 93 916 15 9 382 3 284 3 922 912 1 575 2 161 145 1 709 1 761 767

Hawaii 17 --------------------- 27 982 – – 326 550 193 53 92 236 273 457 957

Idaho 31 ---------------------- 32 789 7 9 867 540 650 687 267 335 567 273 315 120

Illinois 150 ---------------------- 177 760 29 24 442 4 174 5 947 944 1 329 2 248 169 2 845 3 699 775

Indiana 100 --------------------- 100 196 12 12 730 2 662 3 682 088 972 1 489 294 1 690 2 192 794

Iowa 62 ----------------------- 66 695 12 15 178 1 809 1 836 192 831 910 760 978 925 432

Kansas 39 --------------------- 32 090 15 8 331 1 422 1 401 154 595 628 211 827 772 943

Kentucky 49 ------------------- 39 244 7 7 948 2 030 2 289 738 674 1 006 070 1 356 1 283 668

Louisiana 43 ------------------- 52 833 6 (D) 1 728 2 064 380 717 917 875 1 011 1 146 505

Maine 21 ---------------------- 28 473 12 11 695 666 659 160 204 257 648 462 401 512

Maryland 45 ------------------- 66 169 10 7 839 1 741 2 629 034 228 364 495 1 513 2 264 539

Massachusetts 54 -------------- 67 121 9 (D) 2 463 2 982 856 264 367 178 2 199 2 615 678

Michigan 108 ------------------- 136 510 37 43 599 3 994 5 411 301 1 374 2 197 274 2 620 3 214 027

Minnesota 56 ------------------ 93 089 33 30 313 2 310 3 010 149 1 052 1 779 167 1 258 1 230 982

Mississippi 31 ------------------ 31 338 8 6 385 1 301 1 089 350 552 556 623 749 532 727

Missouri 94 -------------------- 82 651 16 12 405 2 874 3 383 327 1 084 1 436 873 1 790 1 946 454

Montana 28 ------------------- 23 922 6 2 384 501 521 810 167 172 993 334 348 817

Nebraska 38 ------------------- 20 974 2 (D) 1 011 972 919 349 376 506 662 596 413

Nevada 26 -------------------- 31 458 4 2 962 380 767 480 119 247 148 261 520 332

New Hampshire 32 ------------- 35 590 11 4 723 524 600 613 147 200 234 377 400 379

New Jersey 71 ----------------- 86 590 7 (D) 3 259 3 838 403 136 185 448 3 123 3 652 955

New Mexico 27 ---------------- 31 581 7 2 154 692 1 014 088 167 183 806 525 830 282

New York 158 ------------------ 165 717 20 7 917 5 371 6 503 395 940 1 406 267 4 431 5 097 128

North Carolina 120 -------------- 130 357 9 21 577 3 440 3 674 264 1 560 1 931 754 1 880 1 742 510

North Dakota 16 --------------- 10 801 7 6 851 422 439 968 110 113 740 312 326 228

Ohio 147 ----------------------- 186 104 34 48 764 4 713 6 254 166 1 343 2 173 443 3 370 4 080 723

Oklahoma 45 ------------------ 44 742 26 19 449 1 597 1 574 345 714 803 294 883 771 051

Oregon 59 -------------------- 51 658 18 11 568 1 102 1 524 464 111 170 055 991 1 354 409

Pennsylvania 167 --------------- 176 283 19 11 151 4 744 5 568 222 973 1 505 347 3 771 4 062 875

Rhode Island 8 --------------- (D) 1 (D) 430 514 303 68 84 303 362 430 000

South Carolina 48 -------------- 44 145 11 8 171 1 772 2 075 005 877 1 144 066 895 930 939

South Dakota 19 --------------- (D) 4 (D) 517 509 058 160 191 284 357 317 774

Tennessee 81 ----------------- 96 240 21 16 994 2 456 2 937 630 1 150 1 537 709 1 306 1 399 921

Texas 203 ---------------------- 226 809 82 88 873 7 547 9 066 704 3 009 3 842 700 4 538 5 224 004

Utah 26 ----------------------- 30 709 7 6 875 820 979 296 376 451 481 444 527 815

Vermont 13 -------------------- 10 492 5 5 156 327 342 598 97 119 436 230 223 162

Virginia 82 --------------------- 90 615 10 2 744 2 634 3 557 320 823 1 205 204 1 811 2 352 116

Washington 102 ----------------- 124 447 19 9 399 1 697 2 665 662 488 890 102 1 209 1 775 560

West Virginia 32 --------------- 33 826 1 (D) 917 966 755 305 476 787 612 489 968

Wisconsin 97 ------------------ 125 105 23 15 434 2 552 3 188 009 1 127 1 673 115 1 425 1 514 894

Wyoming 18 ------------------- 11 376 1 (D) 416 494 871 142 155 380 274 339 491

See footnotes at end of table.

US–24nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 15

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 4. Establishments and Sales for States: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

Geographic area

Apparel and accessory stores

(SIC 56)

Women’s clothing and specialty stores

(SIC 562, 3)

Total Men’s and boys’ clothingand accessory stores

(SIC 561) Total Women’s clothing stores

(SIC 562)

Women’s accessory

and specialty stores

(SIC 563)

Family clothing stores

(SIC 565)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

United States 145 ------ 490 101 714 474 15 566 10 013 646 58 970 34 912 011 50 174 31 326 346 8 796 3 585 665 19 452 32 787 133

Alabama 2 ------------------- 045 1 479 127 183 91 436 854 402 917 757 372 099 97 30 818 323 696 079

Alaska 294 --------------------- 250 307 42 30 747 108 45 144 90 37 568 18 7 576 49 136 624

Arizona 1 -------------------- 990 1 260 588 183 98 692 720 385 200 605 346 193 115 39 007 312 455 303

Arkansas 1 ------------------- 287 592 775 121 44 158 535 221 291 482 205 605 53 15 686 222 197 576

California 16 ------------------- 502 12 923 865 1 925 1 330 213 6 467 3 786 500 5 549 3 418 248 918 368 252 2 132 4 817 971

Colorado 2 ------------------- 037 1 202 311 175 117 747 733 416 888 605 368 340 128 48 548 328 339 267

Connecticut 2 ----------------- 004 1 781 070 229 170 430 834 597 293 701 529 437 133 67 856 259 676 921

Delaware 477 ------------------- 304 439 53 30 565 180 105 267 160 97 188 20 8 079 61 78 449

District of Columbia 449 --------- 359 581 60 64 322 177 156 244 140 134 949 37 21 295 73 68 410

Florida 9 --------------------- 626 6 506 119 927 508 008 4 074 2 322 617 3 384 2 061 916 690 260 701 1 199 2 056 381

Georgia 3 -------------------- 927 2 614 928 442 268 649 1 669 894 459 1 464 812 165 205 82 294 485 851 961

Hawaii 1 --------------------- 093 966 813 106 79 355 406 396 689 322 237 268 84 159 421 247 237 552

Idaho 566 ---------------------- 286 326 41 25 785 203 74 572 173 67 669 30 6 903 122 115 111

Illinois 6 ---------------------- 495 4 937 705 807 540 353 2 653 1 785 131 2 207 1 604 276 446 180 855 740 1 437 416

Indiana 2 --------------------- 749 1 596 737 260 166 178 1 185 601 008 1 038 556 740 147 44 268 289 392 359

Iowa 1 ----------------------- 688 748 137 207 94 116 775 296 078 688 277 691 87 18 387 193 175 129

Kansas 1 --------------------- 281 706 464 125 64 417 523 229 243 458 205 890 65 23 353 207 233 082

Kentucky 1 ------------------- 740 1 022 959 132 68 784 683 339 598 600 317 828 83 21 770 275 369 887

Louisiana 2 ------------------- 240 1 287 426 236 142 215 870 457 235 755 417 080 115 40 155 305 362 803

Maine 685 ---------------------- 604 006 65 46 485 236 127 480 206 112 645 30 14 835 148 288 562

Maryland 2 ------------------- 998 2 287 129 357 248 350 1 080 780 312 886 692 347 194 87 965 368 662 375

Massachusetts 3 -------------- 791 3 465 858 425 319 458 1 521 1 147 679 1 308 1 040 395 213 107 284 538 1 343 847

Michigan 5 ------------------- 011 3 534 404 546 367 127 2 073 1 428 388 1 764 1 306 862 309 121 526 623 893 223

Minnesota 2 ------------------ 466 1 569 440 261 152 494 1 073 585 573 953 544 495 120 41 078 378 503 213

Mississippi 1 ------------------ 391 623 698 132 55 682 587 221 161 537 210 099 50 11 062 229 208 058

Missouri 2 -------------------- 700 1 595 787 281 167 401 1 068 610 105 902 556 993 166 53 112 365 400 878

Montana 502 ------------------- 223 843 39 17 889 194 64 345 181 62 231 13 2 114 122 88 414

Nebraska 907 ------------------- 492 112 90 44 950 377 149 796 331 136 016 46 13 780 146 186 054

Nevada 739 -------------------- 532 181 81 60 316 276 183 373 225 163 959 51 19 414 102 147 808

New Hampshire 856 ------------- 616 781 79 48 570 304 181 979 263 166 431 41 15 548 149 237 190

New Jersey 5 ----------------- 497 4 688 792 697 495 241 2 280 1 807 869 1 892 1 606 500 388 201 369 539 1 238 831

New Mexico 791 ---------------- 469 997 43 22 451 326 129 761 292 119 768 34 9 993 166 208 420

New York 11 ------------------ 680 9 387 863 1 520 1 163 899 4 786 3 649 595 3 918 3 180 567 868 469 028 1 288 2 271 881

North Carolina 4 -------------- 220 2 444 521 386 214 480 1 796 857 308 1 593 791 601 203 65 707 542 794 844

North Dakota 404 --------------- 175 063 48 24 812 181 73 846 161 69 543 20 4 303 58 38 283

Ohio 5 ----------------------- 422 3 263 832 584 337 280 2 214 1 326 373 1 829 1 182 664 385 143 709 504 744 306

Oklahoma 1 ------------------ 594 935 505 128 61 087 608 263 235 530 241 129 78 22 106 320 418 903

Oregon 1 -------------------- 411 1 126 944 125 62 295 530 247 255 456 222 498 74 24 757 262 618 927

Pennsylvania 6 --------------- 732 4 540 846 739 488 792 2 755 1 624 714 2 289 1 458 863 466 165 851 718 1 206 491

Rhode Island 541 --------------- 370 601 71 36 828 225 150 504 196 139 743 29 10 761 68 105 043

South Carolina 2 -------------- 398 1 382 209 213 105 917 1 023 471 960 889 435 771 134 36 189 382 477 730

South Dakota 439 --------------- 204 488 52 25 839 172 75 080 156 70 603 16 4 477 76 62 979

Tennessee 2 ----------------- 979 1 819 845 313 186 772 1 227 621 083 1 067 567 972 160 53 111 383 566 274

Texas 9 ---------------------- 712 6 960 017 898 601 844 4 021 2 393 329 3 399 2 163 190 622 230 139 1 553 2 411 165

Utah 864 ----------------------- 581 979 71 42 588 308 137 176 254 122 871 54 14 305 130 248 621

Vermont 405 -------------------- 233 281 44 21 162 161 77 236 139 69 602 22 7 634 68 77 528

Virginia 3 --------------------- 772 2 737 048 439 331 269 1 528 935 148 1 287 832 127 241 103 021 462 884 115

Washington 2 ----------------- 406 2 040 977 228 140 217 861 373 993 748 340 430 113 33 563 415 1 181 060

West Virginia 782 --------------- 416 711 68 32 143 317 143 497 279 132 782 38 10 715 106 136 516

Wisconsin 2 ------------------ 620 1 431 410 272 143 640 1 119 533 792 979 493 171 140 40 621 333 369 484

Wyoming 285 ------------------- 129 629 17 10 198 94 25 692 87 24 328 7 1 364 90 67 829

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–25
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 16

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 4. Establishments and Sales for States: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

Geographic area

Apparel and accessory stores

(SIC 56)mCon.

Shoe stores

(SIC 566)

Total Men’s shoe stores (SIC 566 pt.)

Women’s shoe stores (SIC 566 pt.)

Children’s and juveniles’ shoe stores

(SIC 566 pt.)

Family shoe stores

(SIC 566 pt.)

Athletic footwear stores (SIC 566 pt.)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

United States 37 ------ 206 17 883 367 2 946 1 213 629 7 088 3 004 220 1 205 350 775 21 358 9 709 613 4 609 3 605 130

Alabama 526 ------------------- 238 531 39 12 971 75 21 260 10 2 663 354 149 300 48 52 337

Alaska 65 --------------------- 29 986 – – 9 (D) – – 42 16 595 14 (D)

Arizona 527 -------------------- 244 393 45 13 676 116 50 607 14 4 031 266 122 885 86 53 194

Arkansas 285 ------------------- 104 324 17 5 388 52 14 128 5 (D) 191 67 811 20 (D)

California 4 ------------------- 095 2 171 526 370 143 682 852 421 960 140 42 270 2 139 1 129 521 594 434 093

Colorado 526 ------------------- 221 696 61 21 456 118 42 289 17 3 743 257 102 076 73 52 132

Connecticut 510 ----------------- 239 914 48 18 540 88 36 499 19 8 299 294 133 211 61 43 365

Delaware 123 ------------------- 56 585 13 4 611 17 7 019 9 2 285 67 27 301 17 15 369

District of Columbia 96 --------- 55 989 14 (D) 28 12 172 1 (D) 28 22 542 25 16 058

Florida 2 --------------------- 324 1 144 416 183 72 244 504 214 589 77 22 742 1 290 625 291 270 209 550

Georgia 1 -------------------- 015 460 782 77 38 574 175 75 946 40 10 083 588 221 525 135 114 654

Hawaii 139 --------------------- 144 467 8 (D) 24 (D) – – 89 85 531 18 33 329

Idaho 148 ---------------------- 55 356 7 (D) 17 5 105 2 (D) 110 39 448 12 (D)

Illinois 1 ---------------------- 700 888 001 163 93 831 400 233 084 54 15 350 869 377 030 214 168 706

Indiana 742 --------------------- 349 878 79 19 195 97 31 600 23 6 015 477 227 834 66 65 234

Iowa 388 ----------------------- 149 316 20 (D) 70 25 371 4 (D) 258 92 214 36 24 737

Kansas 293 --------------------- 139 960 18 (D) 50 17 586 2 (D) 178 84 267 45 29 420

Kentucky 471 ------------------- 203 389 37 13 515 57 15 883 7 1 663 322 135 285 48 37 043

Louisiana 618 ------------------- 258 313 48 15 326 120 47 037 23 4 601 343 126 607 84 64 742

Maine 178 ---------------------- 110 024 8 3 424 19 8 933 – – 134 83 958 17 13 709

Maryland 874 ------------------- 437 428 69 25 545 166 65 862 55 19 849 428 177 615 156 148 557

Massachusetts 955 -------------- 458 634 65 24 253 193 79 746 42 12 913 536 248 055 119 93 667

Michigan 1 ------------------- 344 658 450 106 55 975 261 107 437 43 13 699 783 342 527 151 138 812

Minnesota 568 ------------------ 251 837 50 16 579 140 63 039 16 4 451 295 116 697 67 51 071

Mississippi 339 ------------------ 115 517 22 8 223 48 14 854 11 3 238 231 69 818 27 19 384

Missouri 694 -------------------- 307 013 50 16 898 148 54 074 17 3 299 401 178 838 78 53 904

Montana 101 ------------------- 45 726 9 3 002 18 5 157 – – 64 29 638 10 7 929

Nebraska 226 ------------------- 85 257 9 (D) 49 18 452 5 (D) 135 47 597 28 15 986

Nevada 198 -------------------- 109 067 18 9 647 52 26 051 4 (D) 96 48 224 28 (D)

New Hampshire 246 ------------- 120 581 10 (D) 29 11 136 5 (D) 165 82 485 37 23 307

New Jersey 1 ----------------- 377 782 471 122 59 303 254 126 084 76 27 547 742 412 192 183 157 345

New Mexico 176 ---------------- 87 780 8 (D) 26 11 017 2 (D) 120 56 441 20 (D)

New York 2 ------------------ 960 1 578 322 241 131 149 660 309 798 105 34 126 1 605 852 479 349 250 770

North Carolina 1 -------------- 149 475 295 68 19 506 134 40 099 34 8 443 783 315 573 130 91 674

North Dakota 89 --------------- 33 582 7 (D) 15 4 223 3 363 56 20 515 8 (D)

Ohio 1 ----------------------- 656 682 341 126 40 666 268 91 435 45 12 827 1 039 390 346 178 147 067

Oklahoma 380 ------------------ 144 069 25 8 811 90 30 513 8 2 844 197 66 647 60 35 254

Oregon 360 -------------------- 152 068 14 (D) 38 10 972 4 (D) 259 87 792 45 46 723

Pennsylvania 1 --------------- 928 926 505 173 64 603 352 139 591 78 20 664 1 081 514 843 244 186 804

Rhode Island 120 --------------- 57 264 9 (D) 25 9 370 6 (D) 70 36 827 10 6 734

South Carolina 550 -------------- 218 078 28 8 418 88 28 111 17 3 978 364 141 893 53 35 678

South Dakota 100 --------------- 33 402 3 817 9 2 608 1 (D) 75 22 279 12 (D)

Tennessee 789 ----------------- 346 749 58 18 696 116 43 355 19 5 909 516 211 796 80 66 993

Texas 2 ---------------------- 292 1 214 517 232 131 845 557 241 035 88 24 987 1 106 558 308 309 258 342

Utah 243 ----------------------- 104 311 19 (D) 35 11 294 3 (D) 162 66 789 24 21 281

Vermont 90 -------------------- 44 698 3 (D) 8 (D) – – 69 34 614 10 6 270

Virginia 996 --------------------- 452 259 59 19 697 157 52 232 48 12 402 599 265 502 133 102 426

Washington 655 ----------------- 270 817 40 14 329 108 36 877 8 1 553 421 165 749 78 52 309

West Virginia 231 --------------- 85 780 11 2 662 27 6 468 6 1 236 160 58 564 27 16 850

Wisconsin 690 ------------------ 318 243 34 8 057 124 51 804 8 1 681 458 205 541 66 51 160

Wyoming 61 ------------------- 18 460 3 703 5 1 294 1 (D) 46 13 197 6 (D)

See footnotes at end of table.

US–26nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 17

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 4. Establishments and Sales for States: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

Geographic area

Apparel and accessory stores

(SIC 56)mCon.

Other apparel and accessory stores

(SIC 564, 9)

Furniture and homefurnishings stores

(SIC 57)

Total

Children’s and infants’ wear stores

(SIC 564)

Miscellaneous apparel

and accessory stores

(SIC 569)

Total Furniture stores (SIC 5712)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

United States 14 ------ 296 6 118 317 5 637 2 956 680 8 659 3 161 637 110 073 93 206 043 32 478 30 416 124

Alabama 159 ------------------- 50 164 70 19 563 89 30 601 1 826 1 202 509 722 494 914

Alaska 30 --------------------- 7 806 13 3 889 17 3 917 222 168 784 50 52 847

Arizona 248 -------------------- 77 000 71 28 595 177 48 405 1 683 1 326 027 506 441 958

Arkansas 124 ------------------- 25 426 76 13 722 48 11 704 1 008 557 363 385 254 319

California 1 ------------------- 883 817 655 776 381 434 1 107 436 221 13 074 13 314 726 3 364 3 138 269

Colorado 275 ------------------- 106 713 52 17 361 223 89 352 1 749 1 543 869 449 447 968

Connecticut 172 ----------------- 96 512 83 62 379 89 34 133 1 571 1 262 854 421 388 723

Delaware 60 ------------------- 33 573 22 16 459 38 17 114 389 365 146 114 136 935

District of Columbia 43 --------- 14 616 14 6 427 29 8 189 198 226 664 48 40 913

Florida 1 --------------------- 102 474 697 326 146 888 776 327 809 7 604 6 148 396 2 492 2 212 765

Georgia 316 -------------------- 139 077 123 56 961 193 82 116 3 158 2 431 721 1 138 1 008 763

Hawaii 195 --------------------- 108 750 40 20 121 155 88 629 466 459 651 101 119 941

Idaho 52 ---------------------- 15 502 11 2 642 41 12 860 518 355 891 155 135 825

Illinois 595 ---------------------- 286 804 277 169 548 318 117 256 4 773 4 605 375 1 268 1 342 380

Indiana 273 --------------------- 87 314 104 47 112 169 40 202 2 361 1 786 006 677 573 195

Iowa 125 ----------------------- 33 498 55 12 177 70 21 321 1 284 815 859 377 305 419

Kansas 133 --------------------- 39 762 50 14 338 83 25 424 1 183 823 585 343 259 953

Kentucky 179 ------------------- 41 301 78 18 816 101 22 485 1 486 1 020 210 506 439 170

Louisiana 211 ------------------- 66 860 94 34 145 117 32 715 1 410 1 129 151 453 443 625

Maine 58 ---------------------- 31 455 24 15 290 34 16 165 524 311 752 141 96 882

Maryland 319 ------------------- 158 664 141 91 368 178 67 296 2 190 2 029 488 549 592 861

Massachusetts 352 -------------- 196 240 153 115 253 199 80 987 2 514 2 117 994 639 640 370

Michigan 425 ------------------- 187 216 163 105 578 262 81 638 3 566 3 417 719 929 1 083 491

Minnesota 186 ------------------ 76 323 72 38 251 114 38 072 1 901 1 663 310 574 597 704

Mississippi 104 ------------------ 23 280 61 12 863 43 10 417 1 062 543 641 423 257 699

Missouri 292 -------------------- 110 390 100 41 078 192 69 312 2 193 1 611 557 658 515 550

Montana 46 ------------------- 7 469 13 1 869 33 5 600 424 274 709 128 95 440

Nebraska 68 ------------------- 26 055 26 8 968 42 17 087 640 609 451 165 323 103

Nevada 82 -------------------- 31 617 21 8 418 61 23 199 536 536 926 158 174 474

New Hampshire 78 ------------- 28 461 45 19 855 33 8 606 645 489 135 163 149 205

New Jersey 604 ----------------- 364 380 299 249 627 305 114 753 3 440 3 722 805 947 1 079 525

New Mexico 80 ---------------- 21 585 24 6 453 56 15 132 638 491 042 186 177 698

New York 1 ------------------ 126 724 166 532 458 805 594 265 361 7 326 6 612 998 2 089 1 972 226

North Carolina 347 -------------- 102 594 149 41 908 198 60 686 3 621 2 477 873 1 343 1 184 129

North Dakota 28 --------------- 4 540 7 935 21 3 605 285 165 329 95 67 024

Ohio 464 ----------------------- 173 532 161 100 803 303 72 729 4 286 3 489 491 1 269 1 279 807

Oklahoma 158 ------------------ 48 211 70 20 117 88 28 094 1 171 841 020 316 290 366

Oregon 134 -------------------- 46 399 42 17 747 92 28 652 1 474 1 158 150 379 429 751

Pennsylvania 592 --------------- 294 344 271 170 080 321 124 264 4 773 3 754 946 1 413 1 253 122

Rhode Island 57 --------------- 20 962 18 10 455 39 10 507 392 267 527 99 82 798

South Carolina 230 -------------- 108 524 75 24 020 155 84 504 1 803 1 129 054 694 468 059

South Dakota 39 --------------- 7 188 16 4 030 23 3 158 308 206 129 96 83 893

Tennessee 267 ----------------- 98 967 109 35 297 158 63 670 2 284 1 691 484 729 631 319

Texas 948 ---------------------- 339 162 352 134 999 596 204 163 6 426 6 093 401 1 848 1 889 092

Utah 112 ----------------------- 49 283 29 19 051 83 30 232 694 681 696 193 328 351

Vermont 42 -------------------- 12 657 20 5 617 22 7 040 331 150 790 94 52 850

Virginia 347 --------------------- 134 257 144 72 991 203 61 266 3 153 2 704 664 961 971 218

Washington 247 ----------------- 74 890 73 19 119 174 55 771 2 503 2 132 880 683 645 231

West Virginia 60 --------------- 18 775 19 4 536 41 14 239 675 397 002 259 175 036

Wisconsin 206 ------------------ 66 251 69 28 166 137 38 085 2 100 1 782 603 627 552 773

Wyoming 23 ------------------- 7 450 4 556 19 6 894 232 105 690 62 37 195

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–27
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 18

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 4. Establishments and Sales for States: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

Geographic area

Furniture and homefurnishings stores

(SIC 57)mCon.

Homefurnishings stores

(SIC 5713, 4, 9)

Total Floor covering stores

(SIC 5713)

Drapery, curtain, and

upholstery stores

(SIC 5714)

Miscellaneous homefurnishings stores

(SIC 5719)

Household

appliance stores

(SIC 572)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

United States 33 ------ 017 19 747 745 13 648 9 615 699 2 877 861 542 16 492 9 270 504 9 743 8 155 425

Alabama 464 ------------------- 253 618 205 133 504 38 8 399 221 111 715 172 97 287

Alaska 78 --------------------- 43 997 25 19 921 3 572 50 23 504 10 7 881

Arizona 493 -------------------- 246 300 194 104 535 45 18 460 254 123 305 113 91 258

Arkansas 240 ------------------- 108 636 104 66 015 40 8 700 96 33 921 107 49 146

California 4 ------------------- 216 2 774 473 1 591 1 162 688 360 106 247 2 265 1 505 538 849 959 213

Colorado 548 ------------------- 327 867 209 178 387 19 4 437 320 145 043 129 71 962

Connecticut 538 ----------------- 294 574 217 125 916 43 16 492 278 152 166 140 140 125

Delaware 120 ------------------- 64 561 52 36 378 6 3 069 62 25 114 38 48 091

District of Columbia 64 --------- 36 676 14 8 774 3 1 150 47 26 752 10 8 605

Florida 2 --------------------- 362 1 270 646 917 596 557 228 58 803 1 217 615 286 560 448 416

Georgia 894 -------------------- 520 136 364 269 398 66 22 750 464 227 988 223 132 332

Hawaii 127 --------------------- 87 079 34 45 684 11 5 113 82 36 282 57 46 854

Idaho 152 ---------------------- 83 601 80 57 509 9 1 679 63 24 413 75 47 150

Illinois 1 ---------------------- 459 1 012 923 596 517 507 156 43 606 707 451 810 418 401 530

Indiana 679 --------------------- 366 884 322 231 431 69 15 342 288 120 111 262 249 738

Iowa 313 ----------------------- 156 487 161 111 625 37 6 509 115 38 353 203 93 937

Kansas 318 --------------------- 150 152 159 89 715 27 4 939 132 55 498 146 66 227

Kentucky 414 ------------------- 214 475 201 142 586 32 6 674 181 65 215 155 93 111

Louisiana 367 ------------------- 198 153 156 101 956 25 5 140 186 91 057 151 143 089

Maine 171 ---------------------- 97 938 61 27 350 16 10 667 94 59 921 63 42 871

Maryland 727 ------------------- 449 784 332 243 246 58 21 254 337 185 284 156 128 307

Massachusetts 878 -------------- 599 610 338 202 033 88 39 670 452 357 907 210 229 854

Michigan 1 ------------------- 148 796 906 499 482 656 102 28 769 547 285 481 302 260 727

Minnesota 568 ------------------ 312 709 254 179 402 33 6 980 281 126 327 214 123 860

Mississippi 233 ------------------ 83 459 111 52 965 20 4 349 102 26 145 116 55 697

Missouri 627 -------------------- 345 423 303 204 689 47 10 726 277 130 008 248 128 323

Montana 103 ------------------- 54 716 54 41 561 6 939 43 12 216 66 54 053

Nebraska 163 ------------------- 82 172 73 51 261 23 5 433 67 25 478 102 40 930

Nevada 162 -------------------- 107 851 57 46 109 14 3 788 91 57 954 41 53 955

New Hampshire 214 ------------- 105 162 84 43 526 12 3 711 118 57 925 49 48 397

New Jersey 1 ----------------- 180 933 603 460 367 895 121 59 994 599 505 714 268 516 757

New Mexico 190 ---------------- 102 142 63 54 111 18 4 396 109 43 635 56 55 727

New York 2 ------------------ 336 1 498 027 933 620 756 208 79 043 1 195 798 228 567 859 628

North Carolina 987 -------------- 472 158 362 234 502 119 24 557 506 213 099 319 171 188

North Dakota 75 --------------- 38 565 38 28 629 11 944 26 8 992 32 12 625

Ohio 1 ----------------------- 286 709 349 586 402 631 89 28 814 611 277 904 376 235 855

Oklahoma 303 ------------------ 143 252 153 83 583 28 3 882 122 55 787 145 106 411

Oregon 480 -------------------- 268 737 202 148 890 28 6 320 250 113 527 133 110 591

Pennsylvania 1 --------------- 374 789 658 649 460 529 113 32 477 612 296 652 523 397 196

Rhode Island 143 --------------- 91 524 66 31 270 12 3 630 65 56 624 28 13 559

South Carolina 535 -------------- 286 600 209 123 299 51 8 855 275 154 446 149 87 496

South Dakota 66 --------------- 25 875 28 17 616 7 1 175 31 7 084 51 24 931

Tennessee 637 ----------------- 372 036 237 156 155 63 18 447 337 197 434 234 152 852

Texas 1 ---------------------- 663 1 082 232 632 446 861 159 61 104 872 574 267 568 409 707

Utah 169 ----------------------- 99 310 70 57 027 14 3 675 85 38 608 72 45 278

Vermont 112 -------------------- 39 475 41 16 736 6 1 215 65 21 524 33 17 920

Virginia 1 --------------------- 021 649 096 398 264 621 75 23 794 548 360 681 219 126 212

Washington 758 ----------------- 464 555 311 239 366 50 12 212 397 212 977 248 235 210

West Virginia 171 --------------- 77 398 102 49 110 14 2 447 55 25 841 51 31 059

Wisconsin 623 ------------------ 327 541 303 214 950 52 9 463 268 103 128 269 174 120

Wyoming 68 ------------------- 29 644 38 22 278 3 731 27 6 635 17 8 177

See footnotes at end of table.

US–28nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 19

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 4. Establishments and Sales for States: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

Geographic area

Furniture and homefurnishings stores

(SIC 57)mCon.

Radio, television, computer, and music stores

(SIC 573)

Total

Radio, television, and

electronics stores (SIC 5731)

Computer and

software stores (SIC 5734)

Record and prerecorded

tape stores

(SIC 5735)

Musical instrument stores (SIC 5736)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

United States 34 ------ 835 34 886 749 17 324 19 791 236 5 438 6 550 436 7 924 5 860 230 4 149 2 684 847

Alabama 468 ------------------- 356 690 276 238 351 54 38 505 86 50 794 52 29 040

Alaska 84 --------------------- 64 059 28 26 411 20 15 413 22 16 449 14 5 786

Arizona 571 -------------------- 546 511 279 275 941 103 135 565 119 95 239 70 39 766

Arkansas 276 ------------------- 145 262 153 90 059 34 14 798 45 26 343 44 14 062

California 4 ------------------- 645 6 442 771 2 132 3 314 124 888 1 598 461 1 125 1 148 457 500 381 729

Colorado 623 ------------------- 696 072 291 408 730 126 155 966 129 88 651 77 42 725

Connecticut 472 ----------------- 439 432 208 245 063 74 71 902 132 89 133 58 33 334

Delaware 117 ------------------- 115 559 59 65 600 17 18 575 28 22 249 13 9 135

District of Columbia 76 --------- 140 470 33 75 189 11 25 301 30 (D) 2 (D)

Florida 2 --------------------- 190 2 216 569 1 150 1 417 373 341 322 969 462 316 939 237 159 288

Georgia 903 -------------------- 770 490 444 413 760 133 133 379 218 146 784 108 76 567

Hawaii 181 --------------------- 205 777 91 91 294 29 43 766 44 54 769 17 15 948

Idaho 136 ---------------------- 89 315 69 33 703 21 27 292 25 18 679 21 9 641

Illinois 1 ---------------------- 628 1 848 542 806 1 065 935 225 357 575 403 294 028 194 131 004

Indiana 743 --------------------- 596 189 364 388 673 115 72 134 169 87 846 95 47 536

Iowa 391 ----------------------- 260 016 204 168 632 43 21 055 89 39 273 55 31 056

Kansas 376 --------------------- 347 253 207 204 993 61 75 205 57 41 185 51 25 870

Kentucky 411 ------------------- 273 454 229 185 164 44 17 334 77 43 751 61 27 205

Louisiana 439 ------------------- 344 284 223 201 712 63 49 084 102 64 051 51 29 437

Maine 149 ---------------------- 74 061 78 39 044 11 5 653 38 19 435 22 9 929

Maryland 758 ------------------- 858 536 324 450 332 143 185 107 201 133 416 90 89 681

Massachusetts 787 -------------- 648 160 345 263 943 132 162 555 214 170 192 96 51 470

Michigan 1 ------------------- 187 1 276 595 608 779 087 175 223 441 277 184 111 127 89 956

Minnesota 545 ------------------ 629 037 249 391 778 96 92 833 130 83 967 70 60 459

Mississippi 290 ------------------ 146 786 184 100 144 25 9 480 51 24 720 30 12 442

Missouri 660 -------------------- 622 261 351 418 984 90 76 776 133 (D) 86 (D)

Montana 127 ------------------- 70 500 63 34 316 17 8 052 27 20 791 20 7 341

Nebraska 210 ------------------- 163 246 105 101 101 28 24 135 43 22 648 34 15 362

Nevada 175 -------------------- 200 646 82 124 786 37 29 434 36 33 601 20 12 825

New Hampshire 219 ------------- 186 371 105 64 089 39 68 054 53 41 457 22 12 771

New Jersey 1 ----------------- 045 1 192 920 483 656 163 199 243 097 262 200 247 101 93 413

New Mexico 206 ---------------- 155 475 99 77 867 32 20 561 51 43 647 24 13 400

New York 2 ------------------ 334 2 283 117 1 224 1 288 438 292 337 186 608 445 604 210 211 889

North Carolina 972 -------------- 650 398 514 387 385 139 95 852 198 110 833 121 56 328

North Dakota 83 --------------- 47 115 39 20 212 9 3 785 20 10 884 15 12 234

Ohio 1 ----------------------- 355 1 264 480 703 857 786 169 106 786 303 205 968 180 93 940

Oklahoma 407 ------------------ 300 991 219 177 600 64 48 378 69 46 583 55 28 430

Oregon 482 -------------------- 349 071 249 205 825 75 52 132 86 55 650 72 35 464

Pennsylvania 1 --------------- 463 1 314 970 750 752 492 183 219 790 352 243 621 178 99 067

Rhode Island 122 --------------- 79 646 56 32 860 20 22 228 32 17 679 14 6 879

South Carolina 425 -------------- 286 899 220 160 958 45 40 911 103 54 617 57 30 413

South Dakota 95 --------------- 71 430 47 43 621 12 6 020 15 7 811 21 13 978

Tennessee 684 ----------------- 535 277 350 317 724 80 64 270 157 105 833 97 47 450

Texas 2 ---------------------- 347 2 712 370 1 231 1 563 182 426 626 517 434 335 829 256 186 842

Utah 260 ----------------------- 208 757 99 81 048 50 52 599 69 47 017 42 28 093

Vermont 92 -------------------- 40 545 49 23 526 4 2 757 26 11 212 13 3 050

Virginia 952 --------------------- 958 138 437 494 516 176 255 347 233 158 311 106 49 964

Washington 814 ----------------- 787 884 360 379 680 163 200 249 158 135 441 133 72 514

West Virginia 194 --------------- 113 509 115 69 005 19 8 003 33 20 511 27 15 990

Wisconsin 581 ------------------ 728 169 296 504 521 73 59 887 131 100 922 81 62 839

Wyoming 85 ------------------- 30 674 44 18 516 13 4 282 19 5 446 9 2 430

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–29
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 20

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 4. Establishments and Sales for States: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

Geographic area

Eating and drinking places

(SIC 58)

Eating places

(SIC 5812)

Total

Total Restaurants

(SIC 5812 pt.)

Cafeterias

(SIC 5812 pt.)

Refreshment places

(SIC 5812 pt.)

Other eating places

(SIC 5812 pt.)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

United States 433 ------ 608 195 316 992 377 760 184 203 215 170 183 85 178 356 5 513 3 619 172 164 341 77 685 530 37 723 17 720 157

Alabama 5 ------------------- 326 2 496 166 4 913 2 428 943 1 796 762 205 110 71 566 2 607 1 424 974 400 170 198

Alaska 1 --------------------- 147 654 440 915 562 888 423 213 235 12 8 002 342 183 269 138 158 382

Arizona 6 -------------------- 676 3 029 922 5 734 2 819 269 2 607 1 346 424 90 73 657 2 414 1 157 688 623 241 500

Arkansas 3 ------------------- 391 1 326 176 3 203 1 302 115 1 345 459 371 65 41 625 1 624 740 669 169 60 450

California 50 ------------------- 515 25 459 079 45 774 24 340 780 21 299 12 128 332 799 388 656 19 964 9 917 679 3 712 1 906 113

Colorado 6 ------------------- 962 3 099 534 6 058 2 886 509 3 159 1 563 677 122 85 362 2 268 1 021 493 509 215 977

Connecticut 5 ----------------- 899 2 471 393 5 314 2 349 860 2 600 1 199 067 34 6 678 1 802 780 305 878 363 810

Delaware 1 ------------------- 279 634 246 1 170 605 760 489 274 859 10 4 747 500 245 984 171 80 170

District of Columbia 1 --------- 568 1 021 145 1 502 982 290 589 482 046 38 18 303 512 241 797 363 240 144

Florida 22 --------------------- 664 12 110 554 20 515 11 521 820 10 068 6 071 955 391 271 212 8 359 4 268 724 1 697 909 929

Georgia 10 -------------------- 463 5 375 452 9 901 5 212 437 4 180 2 148 171 197 142 842 4 682 2 500 010 842 421 414

Hawaii 2 --------------------- 576 1 841 416 2 277 1 745 562 1 116 893 209 21 15 303 953 652 642 187 184 408

Idaho 2 ---------------------- 026 665 364 1 668 607 041 810 299 491 16 7 686 714 256 656 128 43 208

Illinois 20 ---------------------- 458 9 057 068 16 905 8 402 386 7 137 3 730 854 163 99 365 7 610 3 635 912 1 995 936 255

Indiana 9 --------------------- 803 4 360 314 8 359 4 092 137 3 414 1 611 659 97 104 176 4 066 2 117 506 782 258 796

Iowa 5 ----------------------- 914 1 849 238 4 584 1 672 817 2 196 724 017 72 30 313 1 964 814 594 352 103 893

Kansas 4 --------------------- 608 1 742 239 4 048 1 658 096 1 677 626 429 82 51 825 1 970 886 169 319 93 673

Kentucky 5 ------------------- 254 2 560 253 4 781 2 475 539 1 797 871 907 45 27 822 2 548 1 407 635 391 168 175

Louisiana 5 ------------------- 512 2 719 572 4 794 2 562 746 1 883 940 410 99 93 443 2 372 1 267 900 440 260 993

Maine 2 ---------------------- 401 864 349 2 241 833 053 1 161 449 385 5 6 166 836 317 625 239 59 877

Maryland 7 ------------------- 683 3 914 871 6 851 3 715 526 2 760 1 628 308 86 47 492 3 142 1 518 973 863 520 753

Massachusetts 11 -------------- 684 5 411 128 10 276 5 093 191 4 675 2 752 223 97 27 702 3 991 1 571 800 1 513 741 466

Michigan 15 ------------------- 648 6 953 991 13 128 6 457 702 5 927 2 983 564 175 115 785 5 602 2 814 184 1 424 544 169

Minnesota 7 ------------------ 489 3 402 338 6 366 3 134 557 3 139 1 661 614 88 45 672 2 568 1 164 334 571 262 937

Mississippi 2 ------------------ 976 1 210 262 2 804 1 183 957 1 047 366 979 45 30 227 1 483 713 489 229 73 262

Missouri 9 -------------------- 026 4 008 023 7 885 3 818 360 3 356 1 572 117 92 (D) 3 582 1 768 792 855 (D)

Montana 2 ------------------- 241 681 685 1 599 551 668 860 295 675 21 6 120 632 226 843 86 23 030

Nebraska 3 ------------------- 502 1 175 868 2 677 1 037 949 1 246 478 400 31 13 347 1 186 484 034 214 62 168

Nevada 2 -------------------- 426 1 183 738 1 944 1 039 992 865 468 936 7 (D) 905 460 924 167 (D)

New Hampshire 2 ------------- 138 878 373 2 072 861 445 1 095 508 033 9 1 926 753 281 336 215 70 150

New Jersey 13 ----------------- 380 5 590 836 11 464 5 188 125 5 096 2 563 395 116 37 193 4 384 1 708 757 1 868 878 780

New Mexico 2 ---------------- 663 1 209 820 2 428 1 142 908 1 126 524 816 37 49 767 1 103 511 913 162 56 412

New York 32 ------------------ 812 12 787 608 28 020 12 039 892 13 887 6 138 470 329 96 353 9 922 3 676 170 3 882 2 128 899

North Carolina 10 -------------- 784 5 027 204 10 215 4 929 646 4 471 1 907 514 118 133 652 4 707 2 487 710 919 400 770

North Dakota 1 --------------- 416 426 788 993 352 867 503 177 721 6 2 246 439 163 159 45 9 741

Ohio 19 ----------------------- 584 8 473 992 15 865 7 909 004 6 267 3 350 943 157 92 521 7 684 3 774 114 1 757 691 426

Oklahoma 5 ------------------ 419 2 166 239 4 999 2 096 815 1 899 694 764 76 79 242 2 637 1 102 801 387 220 008

Oregon 6 -------------------- 097 2 477 697 5 298 2 309 712 2 693 1 185 292 87 40 173 2 142 938 842 376 145 405

Pennsylvania 21 --------------- 063 8 177 872 16 936 7 499 129 7 887 3 761 367 137 61 425 6 872 2 757 792 2 040 918 545

Rhode Island 2 --------------- 072 768 800 1 746 704 117 924 419 275 12 2 876 643 227 137 167 54 829

South Carolina 5 -------------- 596 2 657 516 5 188 2 563 639 2 344 1 068 797 68 60 333 2 410 1 262 771 366 171 738

South Dakota 1 --------------- 647 488 129 1 260 422 417 676 211 205 23 5 694 506 191 893 55 13 625

Tennessee 7 ----------------- 171 3 766 631 6 768 3 688 277 2 686 1 514 988 138 91 479 3 396 1 860 232 548 221 578

Texas 26 ---------------------- 888 13 458 969 24 199 12 701 109 9 529 5 107 499 716 747 421 11 890 5 822 469 2 064 1 023 720

Utah 2 ----------------------- 571 1 132 519 2 368 1 095 358 907 415 793 35 11 695 1 230 570 454 196 97 416

Vermont 1 -------------------- 255 442 320 1 137 419 729 668 247 766 6 1 454 344 124 178 119 46 331

Virginia 9 --------------------- 430 4 708 557 9 263 4 664 214 4 262 2 061 284 134 99 238 3 964 2 089 209 903 414 483

Washington 9 ----------------- 867 4 406 802 8 490 4 074 845 4 083 2 151 444 119 52 708 3 735 1 604 981 553 265 712

West Virginia 2 --------------- 588 955 232 2 224 914 788 874 329 789 20 15 708 1 139 516 751 191 52 540

Wisconsin 10 ------------------ 985 3 668 310 7 768 3 203 033 4 220 1 664 023 49 22 523 2 876 1 300 826 623 215 661

Wyoming 1 ------------------- 065 366 954 873 327 196 465 169 659 11 3 688 367 149 431 30 4 418

See footnotes at end of table.

US–30nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 21

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 4. Establishments and Sales for States: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

Geographic area

Eating and drinking places

(SIC 58)mCon.

Drug and proprietary stores

(SIC 591)

Miscellaneous retail stores

(SIC 59 ex. 591)

Drinking places

(SIC 5813) Total Drug stores(SIC 591 pt.)

Proprietary stores

(SIC 591 pt.) Total Liquor stores(SIC 592)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

United States 55 ------ 848 11 113 777 48 142 77 487 573 46 304 75 960 792 1 838 1 526 781 302 538 183 941 461 31 386 20 319 081

Alabama 413 ------------------- 67 223 1 022 1 132 870 1 014 1 131 008 8 1 862 4 274 1 899 128 322 244 797

Alaska 232 --------------------- 91 552 46 154 611 45 (D) 1 (D) 960 535 796 132 111 389

Arizona 942 -------------------- 210 653 454 1 122 138 451 1 121 367 3 771 4 585 2 596 274 204 81 837

Arkansas 188 ------------------- 24 061 595 467 684 589 465 839 6 1 845 2 811 1 069 516 390 216 369

California 4 ------------------- 741 1 118 299 4 370 9 963 654 4 176 9 853 876 194 109 778 33 168 19 735 640 3 551 1 909 376

Colorado 904 ------------------- 213 025 411 584 096 406 578 839 5 5 257 5 900 3 343 646 772 490 015

Connecticut 585 ----------------- 121 533 677 1 174 718 648 1 124 091 29 50 627 4 762 4 253 279 773 453 148

Delaware 109 ------------------- 28 486 139 265 789 129 256 735 10 9 054 1 155 724 153 264 140 623

District of Columbia 66 --------- 38 855 113 216 579 106 214 467 7 2 112 867 537 234 211 162 027

Florida 2 --------------------- 149 588 734 2 543 5 057 150 2 431 4 980 063 112 77 087 18 503 10 611 173 1 282 802 430

Georgia 562 -------------------- 163 015 1 568 1 867 718 1 545 1 861 914 23 5 804 7 897 4 045 176 869 616 707

Hawaii 299 --------------------- 95 854 131 648 949 117 644 551 14 4 398 1 755 1 017 801 71 33 193

Idaho 358 ---------------------- 58 323 154 208 314 152 (D) 2 (D) 1 343 522 602 60 42 787

Illinois 3 ---------------------- 553 654 682 2 087 4 411 362 2 006 4 281 749 81 129 613 12 271 8 788 938 1 361 913 278

Indiana 1 --------------------- 444 268 177 1 074 1 983 110 1 057 1 970 364 17 12 746 6 670 4 440 438 905 507 765

Iowa 1 ----------------------- 330 176 421 620 764 743 612 763 267 8 1 476 3 403 1 356 868 122 52 274

Kansas 560 --------------------- 84 143 476 518 947 460 515 356 16 3 591 3 320 1 452 824 604 230 952

Kentucky 473 ------------------- 84 714 930 1 148 756 899 1 132 045 31 16 711 3 944 1 798 132 534 320 442

Louisiana 718 ------------------- 156 826 987 1 259 273 976 1 255 226 11 4 047 3 770 1 617 623 174 109 682

Maine 160 ---------------------- 31 296 236 348 116 222 338 697 14 9 419 1 838 1 709 399 81 81 066

Maryland 832 ------------------- 199 345 771 1 401 218 746 1 375 171 25 26 047 6 341 3 773 855 1 084 778 177

Massachusetts 1 -------------- 408 317 937 1 236 2 287 017 1 147 2 185 016 89 102 001 8 502 6 540 852 1 340 1 193 652

Michigan 2 ------------------- 520 496 289 1 753 3 054 333 1 657 2 928 357 96 125 976 10 053 5 566 833 895 537 810

Minnesota 1 ------------------ 123 267 781 804 1 069 009 788 1 053 314 16 15 695 6 117 4 370 293 956 719 901

Mississippi 172 ------------------ 26 305 694 612 150 686 609 289 8 2 861 2 584 921 602 315 112 685

Missouri 1 -------------------- 141 189 663 817 1 210 139 806 1 204 260 11 5 879 6 413 2 948 419 558 242 015

Montana 642 ------------------- 130 017 166 172 209 163 171 880 3 329 1 343 516 221 141 55 393

Nebraska 825 ------------------- 137 919 364 400 446 360 399 697 4 749 2 030 1 202 882 247 97 575

Nevada 482 -------------------- 143 746 149 370 790 145 370 057 4 733 1 594 1 398 230 66 64 038

New Hampshire 66 ------------- 16 928 223 364 752 198 337 089 25 27 663 1 918 1 514 108 78 180 800

New Jersey 1 ----------------- 916 402 711 1 698 2 692 909 1 592 2 565 984 106 126 925 10 099 7 239 018 1 663 1 287 025

New Mexico 235 ---------------- 66 912 226 395 118 222 393 862 4 1 256 2 100 1 099 167 162 99 625

New York 4 ------------------ 792 747 716 4 119 6 101 534 3 775 5 788 255 344 313 279 21 813 16 447 188 2 330 1 379 428

North Carolina 569 -------------- 97 558 1 578 2 047 678 1 535 2 031 042 43 16 636 7 947 3 933 815 453 362 589

North Dakota 423 --------------- 73 921 176 152 951 174 (D) 2 (D) 846 363 567 137 78 018

Ohio 3 ----------------------- 719 564 988 2 028 3 686 336 1 950 3 600 531 78 85 805 11 757 7 267 863 1 295 680 671

Oklahoma 420 ------------------ 69 424 687 685 709 675 678 392 12 7 317 3 511 1 358 902 309 116 953

Oregon 799 -------------------- 167 985 405 650 933 398 648 812 7 2 121 4 009 2 179 648 372 211 656

Pennsylvania 4 --------------- 127 678 743 2 813 4 266 821 2 651 4 153 160 162 113 661 13 856 11 783 050 1 452 1 374 457

Rhode Island 326 --------------- 64 683 208 402 448 193 (D) 15 (D) 1 360 920 269 219 165 517

South Carolina 408 -------------- 93 877 816 956 649 799 952 499 17 4 150 4 139 1 618 829 437 205 357

South Dakota 387 --------------- 65 712 167 184 669 164 183 270 3 1 399 1 045 430 678 154 55 437

Tennessee 403 ----------------- 78 354 1 154 1 473 627 1 137 1 466 765 17 6 862 5 716 2 578 480 531 298 826

Texas 2 ---------------------- 689 757 860 2 798 3 844 025 2 727 3 814 030 71 29 995 18 837 10 495 878 1 797 1 225 093

Utah 203 ----------------------- 37 161 184 231 780 173 229 165 11 2 615 1 928 953 760 105 84 769

Vermont 118 -------------------- 22 591 144 168 620 135 164 608 9 4 012 1 168 703 890 117 68 721

Virginia 167 --------------------- 44 343 1 178 1 845 386 1 150 1 826 588 28 18 798 7 236 4 666 328 292 273 441

Washington 1 ----------------- 377 331 957 808 1 517 763 799 1 516 518 9 1 245 6 672 3 853 900 435 391 608

West Virginia 364 --------------- 40 444 441 647 543 436 (D) 5 (D) 1 673 534 724 54 28 034

Wisconsin 3 ------------------ 217 465 277 817 1 229 629 797 1 215 560 20 14 069 5 881 4 346 343 584 362 911

Wyoming 192 ------------------- 39 758 87 64 805 85 (D) 2 (D) 854 357 229 126 66 742

See footnotes at end of table,

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–31
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 22

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 4. Establishments and Sales for States: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

Geographic area

Miscellaneous retail stores

(SIC 59 ex. 591)mCon.

Miscellaneous shopping goods stores

(SIC 594)

Sporting goods stores and bicycle shops

(SIC 5941)

Used merchandise

stores

(SIC 593) Total

Total

General line sporting

goods stores

(SIC 5941 pt.)

Specialty line sporting

goods stores

(SIC 5941 pt.)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

United States 19 ------ 826 5 650 584 127 312 66 175 409 23 314 14 460 994 7 714 6 892 098 15 600 7 568 896

Alabama 363 ------------------- 91 683 1 676 685 451 298 136 490 110 62 807 188 73 683

Alaska 53 --------------------- 13 648 492 242 486 86 73 055 38 44 874 48 28 181

Arizona 314 -------------------- 102 258 2 170 1 059 200 378 235 461 95 88 600 283 146 861

Arkansas 251 ------------------- 40 789 968 342 481 185 81 161 88 42 906 97 38 255

California 1 ------------------- 943 704 362 15 134 9 332 742 2 763 2 203 883 791 935 314 1 972 1 268 569

Colorado 410 ------------------- 112 150 2 570 1 336 753 675 459 092 201 215 583 474 243 509

Connecticut 224 ----------------- 66 406 1 813 1 029 349 318 192 568 85 69 745 233 122 823

Delaware 56 ------------------- 12 556 431 221 816 91 43 392 24 17 461 67 25 931

District of Columbia 61 --------- 21 986 322 213 828 18 16 040 7 7 256 11 8 784

Florida 1 --------------------- 561 396 228 7 956 3 942 155 1 436 820 254 374 364 882 1 062 455 372

Georgia 772 -------------------- 202 956 3 003 1 446 643 454 284 496 170 137 676 284 146 820

Hawaii 67 --------------------- 23 466 1 079 713 466 163 119 535 48 38 871 115 80 664

Idaho 115 ---------------------- 32 178 654 256 432 202 104 527 72 49 639 130 54 888

Illinois 642 ---------------------- 180 220 5 051 2 879 388 898 582 106 297 309 356 601 272 750

Indiana 390 --------------------- 81 787 2 662 1 119 489 526 225 547 159 112 798 367 112 749

Iowa 260 ----------------------- 49 185 1 490 532 414 263 107 023 83 45 802 180 61 221

Kansas 224 --------------------- 44 973 1 232 521 592 237 105 498 68 42 251 169 63 247

Kentucky 334 ------------------- 88 154 1 463 631 123 304 137 967 110 66 161 194 71 806

Louisiana 302 ------------------- 102 078 1 629 749 173 248 136 589 100 75 866 148 60 723

Maine 101 ---------------------- 29 237 815 334 369 165 106 250 63 70 468 102 35 782

Maryland 325 ------------------- 113 994 2 532 1 452 678 488 280 918 159 134 581 329 146 337

Massachusetts 378 -------------- 109 134 3 287 1 932 455 543 353 380 168 154 659 375 198 721

Michigan 537 ------------------- 149 754 4 429 2 391 975 951 634 315 333 313 313 618 321 002

Minnesota 274 ------------------ 68 610 2 434 1 184 010 556 378 478 213 181 213 343 197 265

Mississippi 229 ------------------ 43 195 929 309 308 166 68 672 72 40 075 94 28 597

Missouri 477 -------------------- 98 866 2 406 1 133 368 457 263 774 152 141 330 305 122 444

Montana 105 ------------------- 19 980 618 244 083 161 100 246 63 69 005 98 31 241

Nebraska 152 ------------------- 31 704 794 366 409 174 82 865 73 44 349 101 38 516

Nevada 133 -------------------- 55 574 740 501 491 132 96 567 35 44 722 97 51 845

New Hampshire 115 ------------- 25 929 911 452 819 198 118 697 71 48 099 127 70 598

New Jersey 278 ----------------- 92 771 3 925 2 403 224 612 479 659 230 264 343 382 215 316

New Mexico 166 ---------------- 47 780 918 398 771 144 86 089 45 44 084 99 42 005

New York 939 ------------------ 379 365 9 034 5 806 237 1 331 919 659 462 487 479 869 432 180

North Carolina 652 -------------- 157 682 3 503 1 416 176 629 285 627 220 128 353 409 157 274

North Dakota 46 --------------- 5 028 335 140 761 63 54 506 27 44 144 36 10 362

Ohio 644 ----------------------- 158 082 4 858 2 437 253 916 476 375 352 239 409 564 236 966

Oklahoma 392 ------------------ 90 351 1 262 567 243 203 110 343 71 51 817 132 58 526

Oregon 348 -------------------- 102 605 1 787 878 671 378 209 379 105 75 338 273 134 041

Pennsylvania 612 --------------- 169 779 5 793 2 838 822 1 010 560 837 359 288 262 651 272 575

Rhode Island 62 --------------- 12 163 494 212 584 82 44 836 27 19 828 55 25 008

South Carolina 313 -------------- 70 916 1 724 664 516 282 119 535 90 51 763 192 67 772

South Dakota 86 --------------- 15 316 412 152 756 81 43 645 26 18 862 55 24 783

Tennessee 474 ----------------- 120 310 2 342 1 001 878 370 190 380 149 93 092 221 97 288

Texas 1 ---------------------- 926 654 846 7 559 4 232 885 1 279 902 738 425 514 909 854 387 829

Utah 95 ----------------------- 22 515 985 521 719 227 185 666 78 92 951 149 92 715

Vermont 57 -------------------- 10 981 503 164 551 138 57 565 46 26 569 92 30 996

Virginia 490 --------------------- 122 840 3 447 1 703 945 561 344 833 171 142 284 390 202 549

Washington 589 ----------------- 195 727 3 061 1 638 579 647 457 687 194 175 469 453 282 218

West Virginia 97 --------------- 23 493 733 243 976 127 40 061 53 21 486 74 18 575

Wisconsin 342 ------------------ 76 789 2 574 1 080 978 576 299 050 213 119 044 363 180 006

Wyoming 50 ------------------- 8 205 373 110 938 124 43 678 49 22 950 75 20 728

See footnotes at end of table.

US–32nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 23

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 4. Establishments and Sales for States: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

Geographic area

Miscellaneous retail stores

(SIC 59 ex. 591)mCon.

Miscellaneous shopping goods stores

(SIC 594)mCon.

Other miscellaneous shopping goods stores

(SIC 5943, 5, 6, 7, 8, 9)

Book stores

(SIC 5942)

Jewelry stores

(SIC 5944)

Total Stationery stores

(SIC 5943)

Hobby, toy, and

game shops

(SIC 5945)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

United States 12 ------ 887 8 014 885 28 077 14 001 976 63 034 29 697 554 4 344 1 725 094 10 860 10 627 271

Alabama 182 ------------------- 88 870 452 202 367 744 257 724 47 12 199 126 95 045

Alaska 50 --------------------- 25 319 70 36 541 286 107 571 12 (D) 32 14 521

Arizona 240 -------------------- 124 157 471 204 983 1 081 494 599 83 28 425 184 169 780

Arkansas 102 ------------------- 32 557 215 90 543 466 138 220 22 10 235 65 45 898

California 1 ------------------- 664 1 229 242 3 224 1 642 267 7 483 4 257 350 735 341 244 1 317 1 528 882

Colorado 259 ------------------- 143 628 409 184 787 1 227 549 246 70 30 607 213 183 538

Connecticut 222 ----------------- 151 991 382 205 478 891 479 312 47 18 614 163 174 146

Delaware 47 ------------------- 23 765 79 46 099 214 108 560 5 (D) 41 43 284

District of Columbia 69 --------- 62 800 69 39 596 166 95 392 9 4 546 14 6 846

Florida 638 --------------------- 356 481 1 981 876 243 3 901 1 889 177 228 77 050 558 591 244

Georgia 314 -------------------- 158 705 730 368 959 1 505 634 483 122 44 578 253 203 849

Hawaii 61 --------------------- 49 808 404 273 090 451 271 033 13 11 836 46 47 488

Idaho 63 ---------------------- 24 457 107 42 523 282 84 925 16 7 050 62 25 806

Illinois 535 ---------------------- 363 477 1 111 628 138 2 507 1 305 667 194 83 150 453 554 341

Indiana 268 --------------------- 148 394 586 256 437 1 282 489 111 51 16 047 227 174 122

Iowa 132 ----------------------- 69 362 298 130 120 797 225 909 29 7 664 136 60 995

Kansas 134 --------------------- 81 723 244 103 828 617 230 543 37 11 056 107 93 782

Kentucky 138 ------------------- 83 551 376 156 619 645 252 986 17 8 444 114 91 647

Louisiana 151 ------------------- 81 851 440 184 777 790 345 956 61 21 408 125 128 484

Maine 106 ---------------------- 46 586 98 46 303 446 135 230 12 4 629 70 36 419

Maryland 245 ------------------- 154 753 555 289 371 1 244 727 636 78 32 942 225 325 388

Massachusetts 414 -------------- 339 666 700 416 504 1 630 822 905 95 45 927 308 287 434

Michigan 403 ------------------- 285 326 880 473 286 2 195 999 048 116 51 303 382 337 427

Minnesota 213 ------------------ 122 845 436 204 256 1 229 478 431 72 29 723 217 132 160

Mississippi 81 ------------------ 36 026 272 96 952 410 107 658 27 7 555 55 33 579

Missouri 242 -------------------- 123 562 499 252 979 1 208 493 053 72 18 288 240 187 602

Montana 64 ------------------- 24 760 99 33 227 294 85 850 15 3 993 53 19 843

Nebraska 98 ------------------- 52 701 146 91 063 376 139 780 17 (D) 69 43 940

Nevada 53 -------------------- 35 866 163 94 368 392 274 690 12 (D) 55 66 635

New Hampshire 87 ------------- 55 582 130 67 306 496 211 234 13 5 685 93 80 993

New Jersey 346 ----------------- 249 005 942 474 932 2 025 1 199 628 188 64 553 349 559 968

New Mexico 116 ---------------- 45 655 226 99 539 432 167 488 17 9 410 58 42 062

New York 843 ------------------ 674 134 2 262 1 475 108 4 598 2 737 336 613 226 750 697 924 196

North Carolina 354 -------------- 169 243 840 344 365 1 680 616 941 112 47 415 301 197 330

North Dakota 25 --------------- 10 095 68 28 450 179 47 710 4 (D) 39 9 162

Ohio 491 ----------------------- 292 239 1 067 534 118 2 384 1 134 521 120 51 528 478 443 559

Oklahoma 126 ------------------ 62 821 313 124 544 620 269 535 32 14 077 123 119 558

Oregon 231 -------------------- 133 252 284 145 681 894 390 359 66 25 242 148 141 870

Pennsylvania 569 --------------- 318 674 1 269 582 682 2 945 1 376 629 171 61 600 537 533 533

Rhode Island 54 --------------- 32 204 128 45 695 230 89 849 19 3 829 39 26 495

South Carolina 151 -------------- 79 649 438 188 787 853 276 545 51 15 251 129 96 790

South Dakota 37 --------------- 14 025 75 29 777 219 65 309 9 1 724 34 10 252

Tennessee 282 ----------------- 159 527 542 225 677 1 148 426 294 61 21 546 207 156 169

Texas 738 ---------------------- 520 454 1 895 984 764 3 647 1 824 929 268 104 086 637 782 066

Utah 96 ----------------------- 50 001 142 67 271 520 218 781 28 12 777 117 76 162

Vermont 55 -------------------- 21 708 56 18 939 254 66 339 15 9 492 31 7 859

Virginia 368 --------------------- 224 156 725 343 796 1 793 791 160 85 42 212 347 311 083

Washington 389 ----------------- 221 731 434 232 966 1 591 726 195 104 47 356 282 218 649

West Virginia 86 --------------- 33 624 169 65 811 351 104 480 9 (D) 73 38 924

Wisconsin 219 ------------------ 113 745 524 233 945 1 255 434 238 39 13 092 206 141 597

Wyoming 36 ------------------- 11 132 52 16 119 161 40 009 6 2 073 25 4 869

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–33
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 24

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 4. Establishments and Sales for States: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

Geographic area

Miscellaneous retail stores

(SIC 59 ex. 591)mCon.

Miscellaneous shopping goods stores

(SIC 594)mCon.

Other miscellaneous shopping goods stores

(SIC 5943, 5, 6, 7, 8, 9) mCon.

Camera and

photographic

supply stores

(SIC 5946)

Gift, novelty, and

souvenir shops

(SIC 5947)

Luggage and leather

goods stores

(SIC 5948)

Sewing, needlework, and

piece goods stores

(SIC 5949)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

United States 3 ------ 012 2 207 491 34 647 10 553 525 1 907 1 007 851 8 264 3 576 322

Alabama 23 ------------------- 12 897 379 88 672 18 6 805 151 42 106

Alaska 10 --------------------- 5 177 193 67 612 3 (D) 36 15 487

Arizona 48 -------------------- 28 414 614 197 985 35 13 530 117 56 465

Arkansas 6 ------------------- (D) 293 56 882 9 (D) 71 17 555

California 485 ------------------- 319 951 3 760 1 328 702 291 205 570 895 533 001

Colorado 31 ------------------- 53 509 753 211 186 35 16 435 125 53 971

Connecticut 60 ----------------- 32 080 451 182 706 36 15 261 134 56 505

Delaware 11 ------------------- 11 222 125 35 609 9 (D) 23 12 655

District of Columbia 21 --------- 25 108 102 49 804 12 5 525 8 3 563

Florida 187 --------------------- 125 673 2 296 813 333 138 78 954 494 202 923

Georgia 65 -------------------- 64 975 784 225 222 51 22 793 230 73 066

Hawaii 17 --------------------- 8 196 317 151 918 25 35 402 33 16 193

Idaho 13 ---------------------- 4 946 128 27 529 7 1 442 56 18 152

Illinois 151 ---------------------- 74 689 1 343 408 353 67 37 456 299 147 678

Indiana 41 --------------------- 28 206 743 189 479 20 8 260 200 72 997

Iowa 25 ----------------------- 13 236 454 98 500 14 4 481 139 41 033

Kansas 10 --------------------- 10 799 340 78 569 12 5 913 111 30 424

Kentucky 19 ------------------- 9 087 386 104 267 14 4 569 95 34 972

Louisiana 32 ------------------- 19 148 441 122 217 18 7 417 113 47 282

Maine 13 ---------------------- 5 275 292 63 629 11 5 039 48 20 239

Maryland 60 ------------------- 46 587 673 212 819 52 22 232 156 87 668

Massachusetts 114 -------------- 59 960 847 300 729 55 27 594 211 101 261

Michigan 83 ------------------- 52 158 1 249 384 780 66 25 889 299 147 491

Minnesota 62 ------------------ 43 644 701 185 707 26 7 840 151 79 357

Mississippi 7 ------------------ 4 574 227 39 364 6 1 871 88 20 715

Missouri 33 -------------------- 19 859 675 194 924 38 14 606 150 57 774

Montana 9 ------------------- 5 030 161 38 493 5 1 664 51 16 827

Nebraska 6 ------------------- 6 729 218 62 128 3 (D) 63 21 264

Nevada 9 -------------------- 6 677 261 166 669 14 (D) 41 18 147

New Hampshire 30 ------------- 12 636 285 80 457 16 5 766 59 25 697

New Jersey 128 ----------------- 65 526 1 110 402 490 69 36 912 181 70 179

New Mexico 19 ---------------- 10 570 293 86 409 10 4 615 35 14 422

New York 295 ------------------ 507 802 2 300 745 847 201 135 015 492 197 726

North Carolina 61 -------------- 36 487 903 228 521 43 17 834 260 89 354

North Dakota 5 --------------- 2 562 104 23 257 1 (D) 26 11 550

Ohio 130 ----------------------- 88 109 1 268 373 791 37 18 906 351 158 628

Oklahoma 17 ------------------ 6 409 349 93 348 13 3 993 86 32 150

Oregon 41 -------------------- 18 512 469 130 691 28 11 593 142 62 451

Pennsylvania 177 --------------- 96 201 1 631 494 206 100 43 321 329 147 768

Rhode Island 9 --------------- 5 636 119 36 531 10 2 939 34 14 419

South Carolina 21 -------------- 8 677 498 114 500 21 6 393 133 34 934

South Dakota 6 --------------- 2 230 143 40 721 3 1 368 24 9 014

Tennessee 45 ----------------- 24 377 644 154 425 34 13 908 157 55 869

Texas 118 ---------------------- 71 570 2 025 586 124 82 48 627 517 232 456

Utah 28 ----------------------- (D) 241 67 293 10 (D) 96 38 651

Vermont 8 -------------------- 1 915 156 35 351 9 3 052 35 8 670

Virginia 74 --------------------- 45 485 986 266 610 62 22 592 239 103 178

Washington 78 ----------------- 49 922 861 258 660 34 18 668 232 132 940

West Virginia 11 --------------- 5 241 195 39 634 6 (D) 57 16 828

Wisconsin 54 ------------------ 23 208 762 182 108 26 7 513 168 66 720

Wyoming 6 ------------------- (D) 99 24 764 2 (D) 23 5 947

See footnotes at end of table.

US–34nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 25

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 4. Establishments and Sales for States: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

Geographic area

Miscellaneous retail stores

(SIC 59 ex. 591)mCon.

Nonstore retailers (SIC 596)

Total

Catalog and mail-order houses (SIC 5961)

Automatic merchandising

machine operators

(SIC 5962)

Direct selling

establishments

(SIC 5963)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

United States 27 ------ 805 51 079 997 7 773 34 579 632 6 391 6 330 079 13 641 10 170 286

Alabama 407 ------------------- 407 384 93 222 373 116 98 507 198 86 504

Alaska 52 --------------------- 31 202 12 4 889 17 19 928 23 6 385

Arizona 451 -------------------- 753 374 146 551 651 96 51 693 209 150 030

Arkansas 312 ------------------- 200 546 93 70 616 111 74 748 108 55 182

California 2 ------------------- 917 4 090 916 882 2 308 886 535 467 668 1 500 1 314 362

Colorado 531 ------------------- 833 349 157 550 498 111 76 345 263 206 506

Connecticut 426 ----------------- 1 484 048 123 1 252 995 94 88 132 209 142 921

Delaware 71 ------------------- 76 661 22 38 329 14 22 446 35 15 886

District of Columbia 43 --------- 35 807 15 22 369 10 4 137 18 9 301

Florida 1 --------------------- 525 3 443 244 369 2 667 758 281 184 364 875 591 122

Georgia 712 -------------------- 921 514 214 454 702 179 222 769 319 244 043

Hawaii 107 --------------------- 66 368 7 7 840 13 4 758 87 53 770

Idaho 129 ---------------------- 82 009 39 37 599 22 11 157 68 33 253

Illinois 1 ---------------------- 372 3 361 800 331 2 339 043 427 378 727 614 644 030

Indiana 676 --------------------- 2 028 885 153 1 581 146 171 214 256 352 233 483

Iowa 413 ----------------------- 368 782 125 146 327 85 63 648 203 158 807

Kansas 312 --------------------- 389 720 96 220 124 64 59 181 152 110 415

Kentucky 343 ------------------- 342 287 104 121 402 82 127 112 157 93 773

Louisiana 349 ------------------- 272 798 96 53 952 79 (D) 174 (D)

Maine 177 ---------------------- 755 880 71 (D) 28 (D) 78 (D)

Maryland 536 ------------------- 517 231 112 155 624 116 160 233 308 201 374

Massachusetts 724 -------------- 1 527 441 193 1 034 721 237 196 882 294 295 838

Michigan 866 ------------------- 997 636 204 338 427 218 255 870 444 403 339

Minnesota 661 ------------------ 1 702 683 206 (D) 162 (D) 293 250 371

Mississippi 204 ------------------ 129 305 73 42 689 47 47 006 84 39 610

Missouri 718 -------------------- 746 877 210 414 071 171 143 728 337 189 078

Montana 119 ------------------- 98 150 44 39 661 14 5 303 61 53 186

Nebraska 216 ------------------- 525 883 65 414 182 33 39 725 118 71 976

Nevada 170 -------------------- 574 138 58 432 624 23 (D) 89 (D)

New Hampshire 207 ------------- 382 868 66 314 446 50 25 492 91 42 930

New Jersey 878 ----------------- 1 591 584 244 1 064 750 175 179 262 459 347 572

New Mexico 167 ---------------- 243 696 65 187 403 28 15 248 74 41 045

New York 1 ------------------ 944 3 901 087 593 2 811 939 456 345 636 895 743 512

North Carolina 754 -------------- 1 084 425 204 556 301 186 262 433 364 265 691

North Dakota 77 --------------- 58 876 25 25 036 11 5 991 41 27 849

Ohio 1 ----------------------- 172 2 602 000 264 1 743 711 328 464 922 580 393 367

Oklahoma 295 ------------------ 187 578 87 45 778 64 47 483 144 94 317

Oregon 405 -------------------- 633 262 142 474 626 64 64 683 199 93 953

Pennsylvania 1 --------------- 180 4 759 839 289 3 971 887 279 398 217 612 389 735

Rhode Island 135 --------------- 253 092 34 194 156 31 25 293 70 33 643

South Carolina 329 -------------- 265 895 74 86 102 88 107 664 167 72 129

South Dakota 106 --------------- 120 001 33 85 055 14 7 219 59 27 727

Tennessee 601 ----------------- 649 789 171 274 025 190 194 540 240 181 224

Texas 1 ---------------------- 529 2 396 434 392 1 453 011 413 373 521 724 569 902

Utah 206 ----------------------- 166 331 61 41 290 48 26 071 97 98 970

Vermont 128 -------------------- 141 245 54 104 719 14 14 380 60 22 146

Virginia 642 --------------------- 1 663 280 206 1 244 134 118 160 973 318 258 173

Washington 665 ----------------- 919 742 189 563 023 84 78 480 392 278 239

West Virginia 146 --------------- 71 952 42 18 938 49 19 069 55 33 945

Wisconsin 626 ------------------ 2 115 924 191 1 744 304 134 192 905 301 178 715

Wyoming 74 ------------------- 105 179 34 85 109 11 4 077 29 15 993

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–35
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 26

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 4. Establishments and Sales for States: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

Geographic area

Miscellaneous retail stores

(SIC 59 ex. 591)mCon.

Fuel dealers

(SIC 598)

Total Fuel oil dealers (SIC 5983)

Liquefied petroleum gas

(bottled gas) dealers

(SIC 5984)

Fuel dealers, n.e.c.

(SIC 5989)

Florists

(SIC 5992)

Tobacco stores

and stands

(SIC 5993)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

United States 10 ------ 973 13 875 226 5 025 8 944 160 5 651 4 867 046 297 64 020 27 341 5 719 237 1 477 781 826

Alabama 241 ------------------- 176 397 2 (D) 236 172 702 3 (D) 510 83 671 7 1 650

Alaska 52 --------------------- 80 951 40 71 479 11 (D) 1 (D) 58 14 817 2 (D)

Arizona 72 -------------------- 52 957 2 (D) 61 50 929 9 (D) 319 71 027 37 48 817

Arkansas 168 ------------------- 126 396 9 (D) 156 101 360 3 (D) 345 55 385 5 1 502

California 345 ------------------- 331 269 21 25 660 274 294 384 50 11 225 2 680 616 754 131 60 502

Colorado 118 ------------------- 89 433 6 7 649 107 80 745 5 1 039 367 80 259 16 5 405

Connecticut 413 ----------------- 831 714 380 782 048 31 (D) 2 (D) 367 91 686 22 6 160

Delaware 53 ------------------- 173 901 37 136 550 15 (D) 1 (D) 72 17 904 15 7 350

District of Columbia 3 --------- (D) 3 (D) – – – – 55 25 124 6 3 243

Florida 304 --------------------- 254 957 74 52 942 227 201 669 3 346 1 545 298 178 82 45 856

Georgia 292 -------------------- 224 042 11 (D) 279 218 619 2 (D) 842 157 653 13 3 733

Hawaii 3 --------------------- (D) 1 (D) 2 (D) – – 142 35 868 – –

Idaho 35 ---------------------- 20 450 6 4 998 24 14 647 5 805 131 21 648 6 4 862

Illinois 222 ---------------------- 160 609 32 20 819 182 138 948 8 842 1 164 284 291 78 54 441

Indiana 218 --------------------- 192 967 48 (D) 167 149 357 3 (D) 636 135 293 41 28 524

Iowa 151 ----------------------- 119 591 22 (D) 128 91 191 1 (D) 393 68 125 6 2 014

Kansas 101 --------------------- 56 624 11 7 529 90 49 095 – – 342 63 785 8 5 645

Kentucky 145 ------------------- 124 407 29 26 899 109 95 323 7 2 185 463 84 353 25 15 388

Louisiana 90 ------------------- 44 844 3 (D) 84 40 454 3 (D) 400 70 124 23 8 517

Maine 247 ---------------------- 413 048 201 382 505 37 29 310 9 1 233 151 28 387 5 2 003

Maryland 180 ------------------- 357 464 123 277 319 52 79 015 5 1 130 453 116 724 23 9 231

Massachusetts 719 -------------- 1 085 459 642 997 064 71 86 595 6 1 800 653 151 014 64 23 289

Michigan 361 ------------------- 447 485 116 (D) 238 297 082 7 (D) 952 222 961 45 21 887

Minnesota 219 ------------------ 210 042 71 91 118 145 118 536 3 388 488 125 117 17 7 782

Mississippi 197 ------------------ 187 188 12 (D) 184 156 916 1 (D) 338 45 935 7 2 754

Missouri 438 -------------------- 238 343 18 (D) 418 219 370 2 (D) 614 109 616 48 18 980

Montana 46 ------------------- 26 710 5 (D) 40 20 007 1 (D) 113 21 043 8 4 434

Nebraska 75 ------------------- 39 428 14 8 679 61 30 749 – – 210 37 090 5 1 010

Nevada 41 -------------------- 38 628 6 10 015 31 27 981 4 632 128 26 970 12 (D)

New Hampshire 168 ------------- 337 566 129 271 297 31 (D) 8 (D) 135 30 811 6 2 822

New Jersey 466 ----------------- 893 246 409 817 078 47 74 214 10 1 954 914 218 989 60 26 656

New Mexico 116 ---------------- 81 106 6 6 126 105 74 543 5 437 136 28 015 8 4 933

New York 1 ------------------ 071 2 293 744 868 2 032 445 190 257 464 13 3 835 1 697 416 654 200 129 191

North Carolina 390 -------------- 424 081 211 232 117 173 191 204 6 760 879 144 685 27 12 042

North Dakota 42 --------------- 30 995 20 23 352 19 7 405 3 238 89 14 349 1 (D)

Ohio 279 ----------------------- 331 770 129 (D) 148 203 858 2 (D) 1 137 240 467 67 17 846

Oklahoma 175 ------------------ 91 569 13 (D) 161 81 119 1 (D) 399 67 215 58 45 933

Oregon 52 -------------------- 45 768 30 32 509 15 (D) 7 (D) 327 59 855 21 13 152

Pennsylvania 756 --------------- 1 368 895 587 1 213 059 132 145 641 37 10 195 1 340 301 049 92 35 460

Rhode Island 143 --------------- 197 607 129 182 150 13 (D) 1 (D) 118 24 629 9 2 923

South Carolina 170 -------------- 141 236 53 (D) 113 93 959 4 (D) 427 65 914 5 838

South Dakota 53 --------------- 36 930 12 13 155 41 23 775 – – 107 16 507 – –

Tennessee 133 ----------------- 101 405 9 9 626 115 90 732 9 1 047 621 119 066 14 3 708

Texas 525 ---------------------- 309 279 32 24 546 482 281 861 11 2 872 1 769 333 244 63 23 257

Utah 19 ----------------------- 18 414 1 (D) 15 13 975 3 (D) 135 29 509 1 (D)

Vermont 129 -------------------- 255 407 84 197 530 41 57 334 4 543 88 14 378 2 (D)

Virginia 256 --------------------- 327 283 169 230 785 75 94 815 12 1 683 729 150 214 29 17 657

Washington 96 ----------------- 128 563 64 106 745 25 (D) 7 (D) 570 127 431 32 25 538

West Virginia 40 --------------- 34 254 15 (D) 23 19 462 2 (D) 268 47 766 8 2 486

Wisconsin 305 ------------------ 280 151 108 (D) 193 155 706 4 (D) 463 97 520 16 6 027

Wyoming 40 ------------------- 28 260 2 (D) 34 25 704 4 (D) 62 10 168 1 (D)

See footnotes at end of table.

US–36nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 27

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 4. Establishments and Sales for States: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

Geographic area

Miscellaneous retail stores

(SIC 59 ex. 591)mCon.

Miscellaneous retail stores, n.e.c.

(SIC 5999)

News dealers

and newsstands

(SIC 5994)

Optical goods stores

(SIC 5995)

Total Pet shops

(SIC 5999 pt.)

Art dealers

(SIC 5999 pt.)

Other miscellaneous

retail stores, n.e.c.

(SIC 5999 pt.)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

United States 2 ------ 260 704 285 14 160 4 806 183 39 998 14 829 633 7 160 2 677 913 5 010 2 080 789 27 828 10 070 931

Alabama 4 ------------------- 721 196 59 608 548 147 766 58 12 863 31 6 807 459 128 096

Alaska 1 --------------------- (D) 36 11 320 82 (D) 19 8 726 19 9 573 44 (D)

Arizona 9 -------------------- 6 238 245 80 598 764 339 968 103 86 492 146 52 225 515 201 251

Arkansas 7 ------------------- 3 017 59 16 213 306 66 818 30 6 399 18 2 888 258 57 531

California 163 ------------------- 65 816 1 184 454 747 5 120 2 169 156 1 107 502 543 697 307 559 3 316 1 359 054

Colorado 10 ------------------- 5 752 287 85 091 819 305 439 169 77 673 118 47 482 532 180 284

Connecticut 46 ----------------- 15 666 203 77 148 475 197 954 103 36 777 38 9 584 334 151 593

Delaware 17 ------------------- 6 254 52 15 338 124 51 750 22 9 318 11 4 560 91 37 872

District of Columbia 12 --------- (D) 51 18 692 103 (D) 8 (D) 41 17 792 54 25 104

Florida 88 --------------------- 26 904 1 098 370 353 3 062 1 030 868 452 143 573 364 101 655 2 246 785 640

Georgia 20 -------------------- 6 003 355 131 566 1 019 334 359 148 48 684 112 26 191 759 259 484

Hawaii 4 --------------------- 5 219 65 28 123 217 (D) 29 16 868 68 52 282 120 (D)

Idaho 1 ---------------------- (D) 53 11 709 159 (D) 23 8 608 20 5 334 116 (D)

Illinois 97 ---------------------- 27 348 543 211 426 1 741 716 137 331 121 611 203 89 772 1 207 504 754

Indiana 35 --------------------- 8 706 260 93 725 847 243 297 184 52 083 48 10 058 615 181 156

Iowa 15 ----------------------- 2 881 144 49 231 409 112 371 55 17 402 50 12 875 304 82 094

Kansas 7 --------------------- 1 390 122 31 206 368 106 937 56 23 623 30 4 538 282 78 776

Kentucky 11 ------------------- 2 849 152 60 494 474 128 635 83 25 440 41 6 009 350 97 186

Louisiana 17 ------------------- 4 151 218 70 761 568 185 495 62 17 115 66 27 665 440 140 715

Maine 6 ---------------------- 2 298 45 10 751 210 52 360 46 10 212 27 5 735 137 36 413

Maryland 52 ------------------- 17 034 352 119 844 804 291 478 183 70 899 92 22 755 529 197 824

Massachusetts 86 -------------- 37 700 354 111 717 897 368 991 185 73 724 138 42 157 574 253 110

Michigan 36 ------------------- 15 259 533 224 346 1 399 557 720 284 127 220 150 61 031 965 369 469

Minnesota 18 ------------------ 16 190 351 114 954 699 221 004 145 55 211 111 25 328 443 140 465

Mississippi 7 ------------------ 885 83 24 844 275 65 503 32 6 723 15 3 149 228 55 631

Missouri 18 -------------------- 5 875 280 94 784 856 259 695 125 40 580 76 22 969 655 196 146

Montana 6 ------------------- 1 068 40 8 152 147 37 208 23 6 464 34 7 606 90 23 138

Nebraska 5 ------------------- 2 466 81 36 693 245 64 624 44 11 037 25 5 165 176 48 422

Nevada 9 -------------------- (D) 50 17 374 245 (D) 41 21 463 39 23 123 165 (D)

New Hampshire 12 ------------- 4 898 77 20 987 209 74 608 61 20 158 14 3 012 134 51 438

New Jersey 162 ----------------- 46 464 516 176 178 1 237 502 881 250 106 076 136 42 436 851 354 369

New Mexico 9 ---------------- 3 166 81 21 486 337 170 589 37 20 956 139 90 775 161 58 858

New York 636 ------------------ 189 013 1 219 441 807 2 743 1 510 662 465 135 505 571 597 290 1 707 777 867

North Carolina 50 -------------- 11 263 305 84 247 934 236 625 156 34 098 93 20 932 685 181 595

North Dakota 3 --------------- 634 30 8 970 86 (D) 12 3 283 2 (D) 72 (D)

Ohio 88 ----------------------- 25 444 675 218 640 1 542 555 690 297 113 559 134 29 675 1 111 412 456

Oklahoma 5 ------------------ 1 220 149 38 801 467 152 039 53 20 449 31 5 701 383 125 889

Oregon 11 -------------------- 3 863 152 45 778 534 185 038 115 43 246 81 17 823 338 123 969

Pennsylvania 252 --------------- 64 805 702 242 763 1 677 627 181 331 115 505 143 48 342 1 203 463 334

Rhode Island 6 --------------- 1 458 38 8 860 136 41 436 26 9 592 16 3 004 94 28 840

South Carolina 21 -------------- 5 253 184 53 446 529 145 458 60 14 739 64 11 535 405 119 184

South Dakota 2 --------------- (D) 40 9 777 85 (D) 18 (D) 6 (D) 61 15 798

Tennessee 16 ----------------- 5 953 247 78 537 737 199 008 115 22 665 67 13 218 555 163 125

Texas 71 ---------------------- 20 152 1 032 337 782 2 566 962 906 396 167 334 246 68 312 1 924 727 260

Utah 3 ----------------------- (D) 103 33 005 276 75 407 49 11 323 30 6 711 197 57 373

Vermont 7 -------------------- 843 29 9 074 108 (D) 18 6 718 17 5 589 73 (D)

Virginia 33 --------------------- 6 286 404 131 455 914 269 927 175 58 695 89 19 315 650 191 917

Washington 24 ----------------- 6 713 306 93 646 894 326 353 192 70 543 151 47 759 551 208 051

West Virginia 20 --------------- 4 446 85 25 193 222 53 124 44 9 959 13 2 804 165 40 361

Wisconsin 19 ------------------ 5 403 273 81 143 679 239 497 127 43 242 104 21 779 448 174 476

Wyoming 3 ------------------- (D) 21 3 800 104 23 199 13 1 801 35 9 757 56 11 641

1Includes sales from catalog order desks.

2Includes data for leased departments operated within department stores. Data for this line not included in broader kind-of-business totals.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–37
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 28

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Building materials and garden supplies stores

(SIC 52)

Retail trade

Total

Building materials and

supply stores

(SIC 521, 3)

Hardware stores

(SIC 525)

Retail nurseries, lawn

and garden supply stores

(SIC 526)

Manufactured (mobile)

home dealers

(SIC 527)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

United States 1 ------ 526 215 1 894 880 209 69 483 98 832 146 35 589 74 501 238 18 984 12 290 916 10 857 6 327 846 4 053 5 712 146

Abilene, TX MSA 832 ------------ 968 437 28 47 429 18 38 579 4 3 118 5 (D) 1 (D)

Albany, GA MSA 746 ------------ 860 116 36 54 688 18 44 504 7 1 860 7 3 020 4 5 304 Albany–Schenectady–Troy,

NY MSA 5 ------------------ 370 6 646 526 222 363 930 103 268 101 63 47 813 40 29 041 16 18 975 Albuquerque, NM MSA 3 ------ 248 4 990 647 128 238 136 65 163 755 27 22 035 13 6 627 23 45 719 Alexandria, LA MSA 724 --------- 933 484 44 51 439 17 38 140 15 4 684 6 2 066 6 6 549

Allentown–Bethlehem–Easton,

PA MSA 3 ------------------- 521 4 370 456 175 236 839 90 181 188 40 20 932 35 22 905 10 11 814

Altoona, PA MSA 826 ----------- 1 068 032 45 60 848 18 40 993 15 9 563 6 1 768 6 8 524

Amarillo, TX MSA 1 ----------- 314 1 765 826 47 73 542 30 60 936 5 1 287 8 5 115 4 6 204

Anchorage, AK MSA 1 -------- 474 2 572 741 37 133 729 26 119 289 8 (D) 1 (D) 2 (D)

Anniston, AL MSA 676 ----------- 780 822 34 35 346 23 29 254 3 1 167 4 1 159 4 3 766

Appleton–Oshkosh–Neenah,

WI MSA 1 ------------------- 991 2 733 255 103 231 076 55 191 337 32 24 766 13 (D) 3 (D)

Asheville, NC MSA 1 ---------- 408 1 621 022 68 97 529 39 69 093 11 5 341 8 3 583 10 19 512

Athens, GA MSA 849 ------------ 969 236 42 67 077 20 54 571 14 3 095 4 (D) 4 (D)

Atlanta, GA MSA 18 ------------ 542 26 525 002 706 1 329 028 339 1 043 629 189 137 749 151 105 906 27 41 744

Augusta–Aiken, GA–SC MSA 2 - 504 3 147 818 137 234 980 71 180 926 25 8 393 16 7 489 25 38 172

Austin–San Marcos, TX MSA 5 - 061 7 683 796 174 360 851 83 292 041 37 20 969 45 24 752 9 23 089 Bakersfield, CA MSA 2 -------- 761 3 472 405 114 179 728 53 137 032 34 28 164 19 7 731 8 6 801 Bangor, ME MSA 741 ----------- 1 053 816 48 63 908 24 42 166 13 6 555 5 2 313 6 12 874 Barnstable–Yarmouth, MA

MSA 1 ---------------------- 560 1 520 232 66 95 912 38 77 571 14 11 034 14 7 307 – – Baton Rouge, LA MSA 2 ------- 755 4 069 163 158 218 125 74 166 522 53 27 597 24 11 593 7 12 413

Beaumont–Port Arthur, TX

MSA 2 ---------------------- 141 2 745 302 93 130 689 51 106 089 16 11 557 17 6 372 9 6 671

Bellingham, WA MSA 1 -------- 153 1 552 390 63 113 099 36 80 344 11 17 647 11 5 646 5 9 462

Benton Harbor, MI MSA 949 ----- 1 036 884 68 68 542 36 50 341 19 10 615 10 (D) 3 (D)

Billings, MT MSA 886 ------------ 1 196 878 40 82 346 21 49 310 8 11 646 5 3 973 6 17 417

Biloxi–Gulfport–Pascagoula,

MS MSA 1 ------------------ 883 1 909 901 103 101 000 48 80 497 28 8 137 18 3 728 9 8 638

Binghamton, NY MSA 1 ------- 548 1 818 558 79 100 086 50 75 726 10 4 232 10 4 265 9 15 863

Birmingham, AL MSA 4 -------- 884 6 728 107 208 296 242 107 233 767 60 29 289 27 12 556 14 20 630

Bismarck, ND MSA 604 ---------- 751 390 36 37 091 19 23 094 7 5 402 5 3 463 5 5 132

Bloomington, IN MSA 744 -------- 804 849 28 42 959 14 29 778 3 4 438 7 3 997 4 4 746 Bloomington–Normal, IL MSA 842 - 1 132 530 38 60 317 21 50 055 6 (D) 9 6 121 2 (D)

Boise City, ID MSA 1 ---------- 919 2 684 394 95 190 884 58 129 681 19 29 694 13 7 556 5 23 953

Boston–Worcester–Lawrence,

MA–NH–ME–CT CMSA 33 ----- 782 44 531 725 1 239 1 948 002 672 1 566 148 375 (D) 180 (D) 12 (D)

Boston, MA–NH PMSA 20 ---- 420 27 058 734 688 1 082 779 377 849 803 214 171 132 93 60 015 4 1 829 Brockton, MA PMSA 1 ------- 305 1 972 527 51 104 291 23 90 516 18 9 412 10 4 363 – – Fitchburg–Leominster, MA

PMSA 844 ------------------- 975 468 37 37 441 17 28 326 11 5 325 9 3 790 – – Lawrence, MA–NH PMSA 1 -- 926 2 451 009 78 113 459 42 87 795 22 14 351 12 (D) 2 (D)

Lowell, MA–NH PMSA 1 ----- 261 1 371 425 40 66 898 21 49 119 14 15 225 5 2 554 – – Manchester, NH PMSA 1 ---- 128 1 607 034 46 85 768 25 75 063 16 8 900 5 1 805 – – Nashua, NH PMSA 1 -------- 142 1 875 315 45 112 602 25 98 876 13 9 459 6 (D) 1 (D)

New Bedford, MA PMSA 1 --- 053 1 129 571 42 63 440 27 56 114 13 (D) 2 (D) – –

Portsmouth–Rochester,

NH–ME PMSA 1 ----------- 929 2 253 795 95 106 720 47 75 409 27 16 038 17 12 924 4 2 349 Worcester, MA–CT PMSA 2 -- 774 3 836 847 117 174 604 68 155 127 27 10 894 21 (D) 1 (D)

Brownsville–Harlingen–San

Benito, TX MSA 1 ------------ 538 1 725 414 51 79 591 28 64 489 10 7 015 8 3 340 5 4 747 Bryan–College Station, TX

MSA 692 ---------------------- 949 982 23 45 232 14 39 640 4 (D) 4 (D) 1 (D)

Buffalo–Niagara Falls, NY

MSA 7 ---------------------- 526 8 846 860 326 399 277 181 319 379 89 (D) 54 41 533 2 (D)

Burlington, VT MSA 1 --------- 414 1 604 602 78 102 621 38 76 575 26 18 205 11 (D) 3 (D)

Canton–Massillon, OH MSA 2 -- 432 2 995 386 110 133 195 60 95 321 25 14 218 22 (D) 3 (D)

Casper, WY MSA 507 ----------- 519 338 17 18 722 11 14 929 4 (D) 2 (D) – –

Cedar Rapids, IA MSA 1 ------- 126 1 564 354 60 123 234 31 99 780 13 5 744 13 8 927 3 8 783 Champaign–Urbana, IL MSA 1 -- 022 1 309 426 49 70 253 31 48 377 11 7 706 4 (D) 3 (D)

Charleston–North Charleston,

SC MSA 3 ------------------ 200 3 725 594 151 233 296 74 173 199 30 16 530 30 13 492 17 30 075

Charleston, WV MSA 1 -------- 546 2 182 172 81 144 356 41 119 431 22 9 322 11 4 580 7 11 023

Charlotte–Gastonia–Rock Hill,

NC–SC MSA 7 --------------- 367 9 494 749 356 606 089 179 464 653 94 58 268 49 27 333 34 55 835

Charlottesville, VA MSA 935 ------ 1 133 400 31 80 270 17 74 274 6 2 356 6 (D) 2 (D)

Chattanooga, TN–GA MSA 2 --- 705 3 414 845 150 186 078 81 145 072 41 21 148 17 6 167 11 13 691

Cheyenne, WY MSA 455 --------- 690 014 19 22 812 13 16 992 3 (D) 3 (D) – –

Chicago–Gary–Kenosha,

IL–IN–WI CMSA 45 ------------ 100 64 858 219 1 773 2 916 964 886 2 125 563 618 524 850 245 (D) 24 (D)

Chicago, IL PMSA 40 --------- 523 58 832 375 1 565 2 624 230 790 1 913 121 546 476 005 212 222 515 17 12 589

Gary, IN PMSA 3 ----------- 203 4 365 938 149 223 217 70 165 362 50 33 243 24 20 897 5 3 715

Kankakee, IL PMSA 546 ------- 708 185 30 40 389 16 31 538 8 4 192 4 (D) 2 (D)

Kenosha, WI PMSA 828 ------- 951 721 29 29 128 10 15 542 14 11 410 5 2 176 – –

Chico–Paradise, CA MSA 1 ---- 142 1 290 658 64 90 025 34 66 310 14 9 710 9 4 456 7 9 549

See footnotes at end of table.

US–38nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] D_SIPES# 8D [UFCB,D_SIPES] UFCEN 3/ 7/ 95 10:25 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 3/ 1/ 95 07:48:00 TAPE: NOreel FRAME: 1

TSF:R_US_TIPS92.DAT;1 3/ 1/ 95 07:48:53 UTF:R_US_TIPS93.DAT;1 3/ 1/ 95 07:48:53 META:R_US_TIPS96.DAT;1 3/ 1/ 95 07:54:15

Table 5. Establishments and Sales for Metropolitan Areas: 1992mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

General merchandise stores

(SIC 53)

Total

Department stores

(incl. leased depts.)1 2

(SIC 531)

Department stores

(excl. leased depts.)1

(SIC 531)

Variety stores

(SIC 533)

Miscellaneous general

merchandise stores

(SIC 539)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

United States 34 ------ 606 245 329 695 11 001 190 784 927 11 001 186 422 670 12 561 9 056 820 11 044 49 850 205

Abilene, TX MSA 19 ------------ 193 859 8 (D) 8 (D) 3 (D) 8 (D)

Albany, GA MSA 18 ------------ 138 277 8 135 676 8 133 192 7 (D) 3 (D)

Albany–Schenectady–Troy,

NY MSA 125 ------------------ 745 634 39 574 461 39 559 813 42 30 397 44 155 424 Albuquerque, NM MSA 54 ------ 723 461 23 523 833 23 515 479 6 5 734 25 202 248 Alexandria, LA MSA 25 --------- 213 922 10 r

167 844 10 (D) 8 (D) 7 (D)

Allentown–Bethlehem–Easton,

PA MSA 68 ------------------- 512 216 26 414 637 26 406 174 25 19 132 17 86 910

Altoona, PA MSA 23 ----------- 143 138 7 129 006 7 127 198 12 8 081 4 7 859

Amarillo, TX MSA 24 ----------- 302 252 12 214 995 12 212 147 2 (D) 10 (D)

Anchorage, AK MSA 15 -------- 450 658 4 (D) 4 (D) 2 (D) 9 (D)

Anniston, AL MSA 21 ----------- 127 626 8 122 120 8 121 026 9 4 507 4 2 093

Appleton–Oshkosh–Neenah,

WI MSA 45 ------------------- 393 096 22 303 040 22 297 737 12 (D) 11 (D)

Asheville, NC MSA 36 ---------- 216 317 18 192 123 18 188 839 10 7 464 8 20 014

Athens, GA MSA 16 ------------ 162 865 9 r122 234 9 (D) 6 (D) 1 (D)

Atlanta, GA MSA 376 ------------ 3 477 721 138 2 755 602 138 2 688 684 125 117 521 113 671 516

Augusta–Aiken, GA–SC MSA 79 - 483 838 26 393 302 26 384 329 35 23 317 18 76 192

Austin–San Marcos, TX MSA 89 - 858 888 30 690 177 30 679 435 37 19 848 22 159 605 Bakersfield, CA MSA 70 -------- 509 682 24 373 775 24 364 897 19 9 948 27 134 837 Bangor, ME MSA 28 ----------- 191 660 8 102 097 8 99 876 8 3 825 12 87 959 Barnstable–Yarmouth, MA

MSA 21 ---------------------- 112 610 7 106 670 7 103 717 6 (D) 8 (D)

Baton Rouge, LA MSA 66 ------- 665 757 25 557 096 25 545 583 30 (D) 11 (D)

Beaumont–Port Arthur, TX

MSA 52 ---------------------- 463 894 21 376 339 21 367 444 22 13 078 9 83 372

Bellingham, WA MSA 15 -------- 228 148 7 (D) 7 (D) 4 1 653 4 (D)

Benton Harbor, MI MSA 20 ----- 148 935 7 133 642 7 131 741 9 11 911 4 5 283

Billings, MT MSA 19 ------------ 200 995 10 142 737 10 140 100 4 2 378 5 58 517

Biloxi–Gulfport–Pascagoula,

MS MSA 58 ------------------ 376 352 19 299 162 19 290 029 27 13 898 12 72 425

Binghamton, NY MSA 32 ------- 229 966 16 199 621 16 191 539 6 3 728 10 34 699

Birmingham, AL MSA 129 -------- 878 403 39 690 598 39 677 032 54 37 024 36 164 347

Bismarck, ND MSA 16 ---------- 140 246 9 128 225 9 127 216 2 (D) 5 (D)

Bloomington, IN MSA 16 -------- 122 088 8 107 436 8 105 166 5 (D) 3 (D)

Bloomington–Normal, IL MSA 15 - 132 592 7 113 520 7 111 207 6 (D) 2 (D)

Boise City, ID MSA 37 ---------- 379 397 17 280 438 17 274 021 9 8 970 11 96 406

Boston–Worcester–Lawrence,

MA–NH–ME–CT CMSA 633 ----- 4 951 942 224 3 438 803 224 3 348 899 201 (D) 208 (D)

Boston, MA–NH PMSA 331 ---- 2 770 934 106 1 941 598 106 1 890 916 110 89 776 115 790 242 Brockton, MA PMSA 26 ------- 156 791 11 114 679 11 110 481 5 4 909 10 41 401 Fitchburg–Leominster, MA

PMSA 27 ------------------- 124 067 9 112 596 9 109 566 13 5 258 5 9 243 Lawrence, MA–NH PMSA 45 -- 346 121 18 231 824 18 226 476 13 5 282 14 114 363

Lowell, MA–NH PMSA 25 ----- 109 309 13 99 786 13 96 429 7 3 251 5 9 629 Manchester, NH PMSA 31 ---- 289 599 13 165 853 13 162 628 8 (D) 10 (D)

Nashua, NH PMSA 27 -------- 311 554 12 186 647 12 182 080 6 1 893 9 127 581 New Bedford, MA PMSA 18 --- 168 170 8 99 674 8 96 952 3 (D) 7 (D)

Portsmouth–Rochester,

NH–ME PMSA 47 ----------- 211 625 14 184 531 14 180 540 15 6 652 18 24 433 Worcester, MA–CT PMSA 56 -- 463 772 20 301 615 20 292 831 21 9 221 15 161 720

Brownsville–Harlingen–San

Benito, TX MSA 50 ------------ 376 386 17 267 031 17 262 773 13 11 924 20 101 689 Bryan–College Station, TX

MSA 18 ---------------------- 188 519 9 (D) 9 (D) 4 (D) 5 (D)

Buffalo–Niagara Falls, NY

MSA 141 ---------------------- 1 072 696 60 854 651 60 821 796 56 52 455 25 198 445 Burlington, VT MSA 23 --------- 132 108 8 95 334 8 92 678 11 (D) 4 (D)

Canton–Massillon, OH MSA 59 -- 379 880 18 286 145 18 276 892 30 25 106 11 77 882

Casper, WY MSA 12 ----------- (D) 7 (D) 7 (D) 2 (D) 3 (D)

Cedar Rapids, IA MSA 20 ------- 264 026 14 r221 155 14 (D) 2 (D) 4 (D)

Champaign–Urbana, IL MSA 26 -- 226 481 11 161 106 11 158 104 9 5 206 6 63 171 Charleston–North Charleston,

SC MSA 68 ------------------ 469 874 26 362 533 26 355 333 30 25 766 12 88 775

Charleston, WV MSA 46 -------- 341 309 17 266 461 17 256 283 17 (D) 12 (D)

Charlotte–Gastonia–Rock Hill,

NC–SC MSA 195 --------------- 1 111 770 60 876 551 60 856 044 93 53 791 42 201 935

Charlottesville, VA MSA 26 ------ 117 430 9 87 325 9 85 636 7 5 096 10 26 698

Chattanooga, TN–GA MSA 82 --- 534 890 28 422 174 28 417 588 36 28 183 18 89 119

Cheyenne, WY MSA 10 --------- 95 342 7 r86 598 7 (D) – – 3 (D)

Chicago–Gary–Kenosha,

IL–IN–WI CMSA 833 ------------ 7 253 162 279 6 108 615 279 5 866 699 272 (D) 282 (D)

Chicago, IL PMSA 745 --------- 6 521 154 249 5 500 447 249 5 275 975 231 184 023 265 1 061 156

Gary, IN PMSA 62 ----------- 546 870 20 443 011 20 428 889 28 20 872 14 97 109

Kankakee, IL PMSA 15 ------- 108 729 6 91 783 6 89 766 7 (D) 2 (D)

Kenosha, WI PMSA 11 ------- 76 409 4 73 374 4 72 069 6 (D) 1 (D)

Chico–Paradise, CA MSA 25 ---- 226 495 11 162 538 11 159 889 2 (D) 12 (D)

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–39
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 30

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Food stores

(SIC 54)

Total Grocery stores

(SIC 541)

Meat and fish (seafood)

markets

(SIC 542)

Retail bakeries

(SIC 546)

Other food stores

(SIC 543, 4, 5, 9)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

United States 180 ------ 568 369 198 584 133 263 352 558 184 8 941 5 040 901 20 418 5 386 894 17 946 6 212 605

Abilene, TX MSA 74 ------------ 182 029 57 177 405 1 (D) 11 (D) 5 (D)

Albany, GA MSA 85 ------------ 145 956 70 143 093 3 (D) 5 (D) 7 1 421 Albany–Schenectady–Troy,

NY MSA 630 ------------------ 1 400 833 437 1 326 985 32 19 029 81 31 732 80 23 087 Albuquerque, NM MSA 278 ------ 853 239 189 818 991 14 6 302 41 12 208 34 15 738 Alexandria, LA MSA 103 --------- 184 251 85 179 370 5 1 258 8 2 579 5 1 044

Allentown–Bethlehem–Easton,

PA MSA 392 ------------------- 925 442 258 885 924 30 14 008 52 11 862 52 13 648

Altoona, PA MSA 94 ----------- 207 769 65 200 200 8 3 174 11 1 596 10 2 799

Amarillo, TX MSA 125 ----------- 285 371 109 280 097 3 (D) 9 1 752 4 (D)

Anchorage, AK MSA 108 -------- 458 987 66 436 316 8 12 584 22 6 717 12 3 370

Anniston, AL MSA 62 ----------- 152 258 56 150 356 – – 3 (D) 3 (D)

Appleton–Oshkosh–Neenah,

WI MSA 128 ------------------- 465 314 68 447 409 9 4 124 30 7 968 21 5 813

Asheville, NC MSA 152 ---------- 319 519 135 313 434 – – 7 2 744 10 3 341

Athens, GA MSA 76 ------------ 158 043 64 154 544 – – 5 2 355 7 1 144

Atlanta, GA MSA 1 ------------ 764 4 553 382 1 385 4 421 359 61 24 995 159 48 647 159 58 381

Augusta–Aiken, GA–SC MSA 249 - 595 313 214 582 044 9 7 647 12 3 144 14 2 478

Austin–San Marcos, TX MSA 568 - 1 467 922 464 1 432 361 17 10 410 51 16 461 36 8 690 Bakersfield, CA MSA 413 -------- 799 214 307 768 613 23 11 875 54 9 537 29 9 189 Bangor, ME MSA 84 ----------- 194 531 65 185 938 3 4 170 11 3 072 5 1 351 Barnstable–Yarmouth, MA

MSA 180 ---------------------- 337 580 99 304 803 17 10 774 32 6 571 32 15 432 Baton Rouge, LA MSA 414 ------- 850 852 360 819 441 17 15 344 18 5 345 19 10 722

Beaumont–Port Arthur, TX

MSA 328 ---------------------- 532 032 280 517 310 14 6 417 19 4 681 15 3 624

Bellingham, WA MSA 106 -------- 295 119 71 286 667 3 947 18 3 812 14 3 693

Benton Harbor, MI MSA 113 ----- 194 099 77 182 452 4 2 611 21 3 577 11 5 459

Billings, MT MSA 82 ------------ 199 191 56 193 517 4 1 091 9 1 519 13 3 064

Biloxi–Gulfport–Pascagoula,

MS MSA 247 ------------------ 414 992 212 406 718 8 3 843 14 2 400 13 2 031

Binghamton, NY MSA 162 ------- 413 798 119 401 423 7 3 444 19 5 412 17 3 519

Birmingham, AL MSA 570 -------- 1 222 702 492 1 194 295 13 11 979 36 8 950 29 7 478

Bismarck, ND MSA 46 ---------- 117 605 27 112 444 4 1 940 5 840 10 2 381

Bloomington, IN MSA 65 -------- 154 669 48 151 434 – – 6 917 11 2 318 Bloomington–Normal, IL MSA 64 - 168 014 40 162 095 4 1 813 9 1 895 11 2 211 Boise City, ID MSA 150 ---------- 481 706 99 469 730 7 1 684 20 4 475 24 5 817

Boston–Worcester–Lawrence,

MA–NH–ME–CT CMSA 3 ----- 973 8 659 379 2 519 (D) 223 (D) 805 305 356 426 (D)

Boston, MA–NH PMSA 2 ---- 413 5 143 426 1 486 4 722 548 136 92 123 522 204 575 269 124 180 Brockton, MA PMSA 171 ------- 342 106 115 320 214 8 4 202 32 11 599 16 6 091 Fitchburg–Leominster, MA

PMSA 90 ------------------- 229 202 65 (D) 2 (D) 17 5 544 6 (D)

Lawrence, MA–NH PMSA 217 -- 519 502 135 482 153 13 15 055 48 16 992 21 5 302

Lowell, MA–NH PMSA 173 ----- 383 247 119 363 569 5 2 417 35 12 854 14 4 407 Manchester, NH PMSA 124 ---- 326 211 93 313 453 6 3 158 17 7 770 8 1 830 Nashua, NH PMSA 116 -------- 349 964 83 332 037 4 (D) 15 5 066 14 (D)

New Bedford, MA PMSA 129 --- 242 449 68 210 953 19 18 804 32 8 205 10 4 487 Portsmouth–Rochester,

NH–ME PMSA 217 ----------- 444 882 147 417 404 13 6 678 23 5 663 34 15 137 Worcester, MA–CT PMSA 323 -- 678 390 208 623 839 17 12 949 64 27 088 34 14 514

Brownsville–Harlingen–San

Benito, TX MSA 199 ------------ 366 822 149 357 311 7 2 468 26 2 781 17 4 262 Bryan–College Station, TX

MSA 65 ---------------------- 177 720 55 174 724 2 (D) 4 (D) 4 (D)

Buffalo–Niagara Falls, NY

MSA 836 ---------------------- 1 975 024 534 1 850 490 72 53 858 114 33 771 116 36 905 Burlington, VT MSA 190 --------- 353 898 143 337 739 6 4 249 28 6 894 13 5 016 Canton–Massillon, OH MSA 274 -- 619 218 195 595 124 17 8 177 30 6 843 32 9 074

Casper, WY MSA 29 ----------- 100 563 19 98 122 1 (D) 5 (D) 4 1 039 Cedar Rapids, IA MSA 81 ------- 277 632 54 267 778 9 2 798 9 5 058 9 1 998 Champaign–Urbana, IL MSA 75 -- 214 650 57 210 162 3 1 178 5 1 256 10 2 054 Charleston–North Charleston,

SC MSA 297 ------------------ 693 328 225 669 710 19 8 754 20 4 679 33 10 185

Charleston, WV MSA 183 -------- 424 645 152 416 269 5 2 908 11 2 340 15 3 128

Charlotte–Gastonia–Rock Hill,

NC–SC MSA 764 --------------- 1 766 089 656 1 733 457 18 6 373 39 10 158 51 16 101

Charlottesville, VA MSA 134 ------ 240 961 118 235 543 2 (D) 7 (D) 7 2 697

Chattanooga, TN–GA MSA 280 --- 626 123 225 615 159 6 1 896 21 4 294 28 4 774

Cheyenne, WY MSA 25 --------- 91 695 16 89 634 – – 3 675 6 1 386

Chicago–Gary–Kenosha,

IL–IN–WI CMSA 4 ------------ 821 11 066 082 3 013 10 298 841 258 (D) 797 (D) 753 (D)

Chicago, IL PMSA 4 --------- 449 9 968 785 2 791 9 267 542 230 149 198 727 258 008 701 294 037

Gary, IN PMSA 271 ----------- 823 077 162 769 047 23 17 155 49 17 196 37 19 679

Kankakee, IL PMSA 39 ------- 118 780 21 114 286 1 (D) 9 2 340 8 (D)

Kenosha, WI PMSA 62 ------- 155 440 39 147 966 4 (D) 12 (D) 7 3 162

Chico–Paradise, CA MSA 131 ---- 291 525 92 281 205 8 3 528 16 2 067 15 4 725

See footnotes at end of table.

US–40nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 31

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Automotive dealers

(SIC 55 ex. 554)

Total New and used car dealers

(SIC 551)

Used car dealers

(SIC 552)

Auto and home supply stores

(SIC 553)

Miscellaneous automotive

dealers

(SIC 555, 6, 7, 9)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

United States 96 ------ 373 395 147 882 24 380 333 801 369 18 672 16 031 345 41 308 28 565 320 12 013 16 749 848

Abilene, TX MSA 72 ------------ 189 866 12 132 891 24 30 648 29 17 419 7 8 908 Albany, GA MSA 53 ------------ 181 423 10 146 017 17 11 281 19 14 192 7 9 933 Albany–Schenectady–Troy,

NY MSA 273 ------------------ 1 455 460 98 1 304 031 55 31 721 89 61 405 31 58 303 Albuquerque, NM MSA 227 ------ 1 123 365 49 932 464 45 47 371 102 80 038 31 63 492 Alexandria, LA MSA 45 --------- 194 792 15 171 562 4 (D) 19 10 542 7 (D)

Allentown–Bethlehem–Easton,

PA MSA 209 ------------------- 945 698 77 830 218 42 33 013 66 47 507 24 34 960

Altoona, PA MSA 71 ----------- 269 269 25 234 757 20 14 703 22 (D) 4 (D)

Amarillo, TX MSA 99 ----------- 422 754 19 364 868 25 20 986 40 24 943 15 11 957

Anchorage, AK MSA 72 -------- 435 203 14 350 794 6 5 907 28 27 985 24 50 517

Anniston, AL MSA 71 ----------- 183 975 11 149 727 26 19 982 29 13 205 5 1 061

Appleton–Oshkosh–Neenah,

WI MSA 151 ------------------- 591 319 36 483 144 51 47 849 39 27 859 25 32 467

Asheville, NC MSA 116 ---------- 266 417 20 194 073 41 27 611 50 30 838 5 13 895

Athens, GA MSA 51 ------------ 181 955 12 154 467 9 (D) 26 19 163 4 (D)

Atlanta, GA MSA 1 ------------ 102 5 902 011 239 5 161 481 209 175 908 566 436 810 88 127 812

Augusta–Aiken, GA–SC MSA 197 - 701 166 43 590 550 50 32 499 87 61 381 17 16 736

Austin–San Marcos, TX MSA 278 - 1 742 929 56 1 506 482 61 74 087 127 102 186 34 60 174 Bakersfield, CA MSA 215 -------- 629 370 36 488 466 19 19 167 132 79 848 28 41 889 Bangor, ME MSA 48 ----------- 221 181 11 177 459 16 10 410 14 19 553 7 13 759 Barnstable–Yarmouth, MA

MSA 44 ---------------------- 222 643 24 195 628 2 (D) 9 (D) 9 14 828 Baton Rouge, LA MSA 170 ------- 915 827 38 773 662 21 18 550 85 73 266 26 50 349

Beaumont–Port Arthur, TX

MSA 170 ---------------------- 645 196 28 521 344 49 37 840 65 52 581 28 33 431

Bellingham, WA MSA 78 -------- 183 560 11 128 955 11 7 453 27 20 615 29 26 537

Benton Harbor, MI MSA 61 ----- 222 716 19 182 027 9 10 151 25 15 990 8 14 548

Billings, MT MSA 56 ------------ 307 634 16 270 310 8 4 675 26 21 434 6 11 215

Biloxi–Gulfport–Pascagoula,

MS MSA 171 ------------------ 394 091 25 308 198 37 23 816 87 41 806 22 20 271

Binghamton, NY MSA 95 ------- 308 701 25 258 753 27 18 213 33 23 357 10 8 378

Birmingham, AL MSA 385 -------- 1 612 942 61 1 359 728 95 74 678 191 131 581 38 46 955

Bismarck, ND MSA 42 ---------- 187 083 13 154 657 8 3 625 11 11 672 10 17 129

Bloomington, IN MSA 34 -------- 140 838 10 122 976 5 5 141 11 7 178 8 5 543 Bloomington–Normal, IL MSA 39 - 225 189 14 187 640 7 7 922 12 21 017 6 8 610 Boise City, ID MSA 154 ---------- 665 841 26 501 907 32 58 474 63 50 114 33 55 346

Boston–Worcester–Lawrence,

MA–NH–ME–CT CMSA 1 ----- 488 7 876 679 540 7 017 756 258 (D) 517 379 491 173 (D)

Boston, MA–NH PMSA 735 ---- 4 641 923 294 4 217 862 100 123 669 265 208 306 76 92 086 Brockton, MA PMSA 82 ------- 311 897 24 253 756 20 23 241 25 17 737 13 17 163 Fitchburg–Leominster, MA

PMSA 66 ------------------- 148 936 20 119 216 17 8 734 22 14 805 7 6 181 Lawrence, MA–NH PMSA 96 -- 391 624 28 339 860 23 14 032 33 20 795 12 16 937

Lowell, MA–NH PMSA 53 ----- 160 378 12 131 089 14 (D) 23 11 984 4 (D)

Manchester, NH PMSA 67 ---- 262 181 18 208 712 16 16 287 18 10 705 15 26 477 Nashua, NH PMSA 59 -------- 364 237 21 331 163 6 4 996 24 20 175 8 7 903 New Bedford, MA PMSA 65 --- 153 294 20 116 991 20 11 898 19 20 761 6 3 644 Portsmouth–Rochester,

NH–ME PMSA 104 ----------- 459 241 45 408 968 13 10 583 29 21 044 17 18 646 Worcester, MA–CT PMSA 161 -- 982 968 58 890 139 29 29 690 59 33 179 15 29 960

Brownsville–Harlingen–San

Benito, TX MSA 108 ------------ 251 324 18 175 035 29 21 360 48 43 454 13 11 475 Bryan–College Station, TX

MSA 46 ---------------------- 189 458 12 161 432 8 7 592 20 16 997 6 3 437 Buffalo–Niagara Falls, NY

MSA 358 ---------------------- 1 712 548 110 1 531 189 72 33 369 135 98 953 41 49 037 Burlington, VT MSA 81 --------- 310 403 31 273 356 13 7 584 20 11 017 17 18 446 Canton–Massillon, OH MSA 162 -- 580 673 45 474 818 27 23 999 71 44 679 19 37 177

Casper, WY MSA 40 ----------- 122 391 10 95 953 4 2 397 17 10 976 9 13 065 Cedar Rapids, IA MSA 73 ------- 314 676 19 266 138 21 16 697 23 16 551 10 15 290 Champaign–Urbana, IL MSA 59 -- 252 140 16 218 410 13 10 014 21 12 807 9 10 909 Charleston–North Charleston,

SC MSA 207 ------------------ 855 905 43 734 608 44 23 736 84 56 798 36 40 763

Charleston, WV MSA 105 -------- 531 901 26 471 330 18 19 121 49 28 404 12 13 046

Charlotte–Gastonia–Rock Hill,

NC–SC MSA 543 --------------- 2 319 906 132 1 990 372 122 84 203 232 164 766 57 80 565

Charlottesville, VA MSA 45 ------ 169 154 14 153 273 6 3 069 20 10 073 5 2 739

Chattanooga, TN–GA MSA 178 --- 692 388 35 565 718 39 36 647 85 67 752 19 22 271

Cheyenne, WY MSA 33 --------- 137 105 7 116 749 6 2 225 12 10 343 8 7 788

Chicago–Gary–Kenosha,

IL–IN–WI CMSA 2 ------------ 074 13 338 359 656 12 032 370 375 349 621 840 660 591 203 295 777

Chicago, IL PMSA 1 --------- 765 12 161 478 578 11 046 807 290 295 835 733 567 783 164 251 053

Gary, IN PMSA 229 ----------- 840 722 55 713 081 61 35 140 90 60 744 23 31 757

Kankakee, IL PMSA 40 ------- 161 425 15 124 958 10 7 708 9 26 690 6 2 069

Kenosha, WI PMSA 40 ------- 174 734 8 147 524 14 10 938 8 5 374 10 10 898

Chico–Paradise, CA MSA 84 ---- 209 124 13 158 052 14 9 043 36 22 952 21 19 077

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–41
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 32

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Gasoline service stations

(SIC 554)

Apparel and accessory stores

(SIC 56)

Total

Men’s and boys’ clothing and

accessory stores

(SIC 561)

Women’s clothing and specialty stores

(SIC 562, 3)

Total Women’s clothing stores

(SIC 562)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

United States 105 ------ 334 134 705 359 145 490 101 714 474 15 566 10 013 646 58 970 34 912 011 50 174 31 326 346

Abilene, TX MSA 124 ------------ 79 683 70 38 407 5 (D) 33 13 938 29 13 043 Albany, GA MSA 63 ------------ 51 457 81 38 478 9 4 934 36 18 362 31 17 757 Albany–Schenectady–Troy,

NY MSA 297 ------------------ 401 294 524 385 405 51 30 051 216 138 678 190 128 678 Albuquerque, NM MSA 169 ------ 316 585 262 191 253 21 13 499 112 54 970 98 50 332 Alexandria, LA MSA 62 --------- 54 492 79 44 965 11 7 153 31 13 056 25 12 013

Allentown–Bethlehem–Easton,

PA MSA 231 ------------------- 265 681 304 191 906 24 17 500 135 78 143 104 64 943

Altoona, PA MSA 66 ----------- 80 000 68 40 205 4 3 455 30 19 883 27 (D)

Amarillo, TX MSA 105 ----------- 181 252 126 87 602 7 4 024 50 25 912 45 24 918

Anchorage, AK MSA 70 -------- 138 236 148 168 268 23 15 884 61 31 941 50 25 052

Anniston, AL MSA 82 ----------- 64 186 43 29 628 4 (D) 20 5 798 15 5 231

Appleton–Oshkosh–Neenah,

WI MSA 159 ------------------- 202 372 213 131 123 23 13 727 90 47 829 83 44 966

Asheville, NC MSA 96 ---------- 118 144 154 100 724 11 (D) 67 41 606 57 38 206

Athens, GA MSA 75 ------------ 68 667 98 61 233 11 4 180 41 18 901 35 16 702

Atlanta, GA MSA 1 ------------ 317 1 871 106 1 820 1 497 164 208 161 023 756 505 795 638 451 538

Augusta–Aiken, GA–SC MSA 206 - 232 733 271 164 172 27 12 054 116 55 257 102 51 723

Austin–San Marcos, TX MSA 354 - 485 619 467 389 750 43 24 697 191 125 632 156 106 043 Bakersfield, CA MSA 177 -------- 345 243 239 120 152 24 11 651 83 34 094 75 31 721 Bangor, ME MSA 52 ----------- 66 558 64 56 027 6 (D) 21 14 820 17 13 710 Barnstable–Yarmouth, MA

MSA 84 ---------------------- 94 075 162 119 458 12 15 284 74 32 591 63 29 815 Baton Rouge, LA MSA 210 ------- 320 319 253 174 096 28 22 219 106 60 315 95 55 303

Beaumont–Port Arthur, TX

MSA 196 ---------------------- 239 064 198 123 290 17 8 287 80 38 717 65 36 394

Bellingham, WA MSA 91 -------- 202 947 120 74 036 11 7 037 42 19 132 35 17 932

Benton Harbor, MI MSA 83 ----- 114 003 73 29 505 8 3 573 37 13 151 33 11 854

Billings, MT MSA 69 ------------ 65 046 90 47 639 11 5 957 34 13 681 29 12 613

Biloxi–Gulfport–Pascagoula,

MS MSA 138 ------------------ 132 927 139 51 063 16 6 196 60 25 706 54 24 272

Binghamton, NY MSA 111 ------- 151 720 140 72 148 17 8 518 62 27 473 56 24 459

Birmingham, AL MSA 388 -------- 470 179 444 429 883 35 24 905 190 130 426 164 119 493

Bismarck, ND MSA 49 ---------- 64 984 64 25 129 7 3 256 31 12 906 28 (D)

Bloomington, IN MSA 38 -------- 51 707 73 38 145 7 2 797 30 15 324 24 13 433 Bloomington–Normal, IL MSA 77 - 124 920 89 77 304 14 5 878 40 21 458 35 (D)

Boise City, ID MSA 143 ---------- 216 932 169 103 929 15 7 057 63 30 984 59 (D)

Boston–Worcester–Lawrence,

MA–NH–ME–CT CMSA 2 ----- 170 2 682 242 3 321 (D) 365 (D) 1 302 1 058 585 1 107 (D)

Boston, MA–NH PMSA 1 ---- 255 1 483 459 2 071 2 209 752 228 192 124 834 752 715 700 673 101 Brockton, MA PMSA 99 ------- 120 329 98 69 342 12 4 748 39 21 794 33 20 391 Fitchburg–Leominster, MA

PMSA 49 ------------------- 76 242 72 (D) 7 4 288 26 17 011 24 (D)

Lawrence, MA–NH PMSA 124 -- 163 693 202 152 610 25 18 343 73 45 022 63 40 900

Lowell, MA–NH PMSA 110 ----- 137 272 75 59 767 8 3 442 28 13 906 27 (D)

Manchester, NH PMSA 74 ---- 102 132 98 89 833 6 (D) 29 19 517 24 16 992 Nashua, NH PMSA 70 -------- 96 772 139 119 783 15 9 396 55 39 632 47 35 703 New Bedford, MA PMSA 67 --- 76 643 98 91 705 10 4 269 36 28 612 32 27 939 Portsmouth–Rochester,

NH–ME PMSA 119 ----------- 150 507 228 180 670 24 16 974 87 56 961 76 54 434 Worcester, MA–CT PMSA 203 -- 275 193 240 209 299 30 16 674 95 63 415 81 60 251

Brownsville–Harlingen–San

Benito, TX MSA 97 ------------ 92 849 228 140 242 22 8 827 97 50 908 81 48 570 Bryan–College Station, TX

MSA 51 ---------------------- 54 642 74 41 588 8 3 949 32 15 548 26 13 354 Buffalo–Niagara Falls, NY

MSA 413 ---------------------- 549 861 754 509 460 80 58 869 265 173 578 223 156 636 Burlington, VT MSA 81 --------- 87 326 156 105 202 16 5 677 72 37 904 62 34 360 Canton–Massillon, OH MSA 186 -- 212 112 208 137 532 23 12 563 76 50 262 59 43 759

Casper, WY MSA 45 ----------- 45 140 46 20 368 5 2 220 18 5 619 13 (D)

Cedar Rapids, IA MSA 75 ------- 103 722 111 55 359 11 5 886 56 25 886 48 24 486 Champaign–Urbana, IL MSA 67 -- 100 092 111 67 497 9 7 445 45 23 437 39 21 063 Charleston–North Charleston,

SC MSA 205 ------------------ 273 596 363 203 872 33 19 227 169 80 966 142 73 769

Charleston, WV MSA 130 -------- 169 403 134 84 943 10 7 862 57 31 085 45 27 793

Charlotte–Gastonia–Rock Hill,

NC–SC MSA 510 --------------- 652 441 774 494 200 64 41 067 357 180 880 302 164 769

Charlottesville, VA MSA 51 ------ 51 846 103 71 370 11 9 975 45 25 021 38 22 830

Chattanooga, TN–GA MSA 246 --- 331 229 262 173 554 34 14 844 99 42 740 85 38 578

Cheyenne, WY MSA 46 --------- 119 783 42 20 060 1 (D) 13 (D) 12 3 472

Chicago–Gary–Kenosha,

IL–IN–WI CMSA 2 ------------ 526 4 238 011 5 049 4 276 583 658 483 951 2 014 1 530 513 1 642 1 366 406

Chicago, IL PMSA 2 --------- 155 3 524 853 4 604 3 964 311 604 451 024 1 842 1 426 761 1 492 1 270 634

Gary, IN PMSA 269 ----------- 561 164 282 201 037 30 21 152 114 68 747 103 64 072

Kankakee, IL PMSA 39 ------- 62 833 47 31 555 4 709 18 10 736 15 10 170

Kenosha, WI PMSA 63 ------- 89 161 116 79 680 20 11 066 40 24 269 32 21 530

Chico–Paradise, CA MSA 59 ---- 68 998 98 43 683 8 3 518 41 15 793 36 14 844

See footnotes at end of table.

US–42nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 33

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Apparel and accessory stores

(SIC 56)mCon.

Women’s clothing and specialty stores (SIC 562, 3)mCon.

Women’s accessory and specialty stores

(SIC 563)

Family clothing stores

(SIC 565)

Shoe stores

(SIC 566)

Other apparel and accessory stores (SIC 564, 9)

Furniture and homefurnishings

stores (SIC 57)

Total

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

United States 8 ------ 796 3 585 665 19 452 32 787 133 37 206 17 883 367 14 296 6 118 317 110 073 93 206 043

Abilene, TX MSA 4 ------------ 895 11 13 300 15 7 035 6 (D) 53 40 342 Albany, GA MSA 5 ------------ 605 3 3 888 29 10 452 4 842 68 39 576 Albany–Schenectady–Troy,

NY MSA 26 ------------------ 10 000 74 127 403 146 62 249 37 27 024 346 268 149 Albuquerque, NM MSA 14 ------ 4 638 39 76 727 62 35 486 28 10 571 257 251 392 Alexandria, LA MSA 6 --------- 1 043 7 12 091 26 10 962 4 1 703 50 33 220

Allentown–Bethlehem–Easton,

PA MSA 31 ------------------- 13 200 21 31 694 92 39 017 32 25 552 231 177 043

Altoona, PA MSA 3 ----------- (D) 7 6 173 20 9 394 7 1 300 58 52 048

Amarillo, TX MSA 5 ----------- 994 19 39 103 32 13 673 18 4 890 105 85 880

Anchorage, AK MSA 11 -------- 6 889 12 95 704 36 21 007 16 3 732 107 95 071

Anniston, AL MSA 5 ----------- 567 7 (D) 8 3 118 4 (D) 54 25 973

Appleton–Oshkosh–Neenah,

WI MSA 7 ------------------- 2 863 34 39 610 49 24 394 17 5 563 138 150 694

Asheville, NC MSA 10 ---------- 3 400 21 26 985 45 23 323 10 (D) 108 89 634

Athens, GA MSA 6 ------------ 2 199 10 17 746 29 14 519 7 5 887 56 36 901

Atlanta, GA MSA 118 ------------ 54 257 194 481 981 479 259 419 183 88 946 1 442 1 372 054

Augusta–Aiken, GA–SC MSA 14 - 3 534 34 59 701 76 30 233 18 6 927 193 142 350

Austin–San Marcos, TX MSA 35 - 19 589 79 159 567 101 60 173 53 19 681 362 379 241 Bakersfield, CA MSA 8 -------- 2 373 42 38 579 68 27 870 22 7 958 187 157 422 Bangor, ME MSA 4 ----------- 1 110 13 22 551 21 13 847 3 (D) 48 35 672 Barnstable–Yarmouth, MA

MSA 11 ---------------------- 2 776 27 53 409 32 13 169 17 5 005 116 86 434 Baton Rouge, LA MSA 11 ------- 5 012 28 44 468 68 38 610 23 8 484 199 181 232

Beaumont–Port Arthur, TX

MSA 15 ---------------------- 2 323 37 50 377 48 19 942 16 5 967 142 111 757

Bellingham, WA MSA 7 -------- 1 200 18 23 644 34 18 690 15 5 533 101 111 606

Benton Harbor, MI MSA 4 ----- 1 297 4 2 409 17 8 481 7 1 891 58 29 202

Billings, MT MSA 5 ------------ 1 068 14 16 612 23 10 860 8 529 63 55 521

Biloxi–Gulfport–Pascagoula,

MS MSA 6 ------------------ 1 434 7 3 666 41 13 289 15 2 206 120 74 005

Binghamton, NY MSA 6 ------- 3 014 13 15 305 38 15 397 10 5 455 106 83 847

Birmingham, AL MSA 26 -------- 10 933 59 198 836 115 57 426 45 18 290 392 322 063

Bismarck, ND MSA 3 ---------- (D) 8 (D) 15 5 859 3 (D) 51 34 616

Bloomington, IN MSA 6 -------- 1 891 11 7 492 17 10 815 8 1 717 72 40 462 Bloomington–Normal, IL MSA 5 - (D) 7 35 203 21 12 019 7 2 746 69 62 847 Boise City, ID MSA 4 ---------- (D) 26 41 087 51 19 751 14 5 050 162 151 635

Boston–Worcester–Lawrence,

MA–NH–ME–CT CMSA 195 ----- (D) 478 1 293 903 871 443 343 305 (D) 2 299 2 073 238 Boston, MA–NH PMSA 134 ---- 79 614 298 886 591 507 264 335 204 113 987 1 408 1 250 240 Brockton, MA PMSA 6 ------- 1 403 8 22 987 35 18 318 4 1 495 78 104 087 Fitchburg–Leominster, MA

PMSA 2 ------------------- (D) 11 23 860 22 12 223 6 (D) 53 40 686 Lawrence, MA–NH PMSA 10 -- 4 122 28 59 760 60 26 624 16 2 861 141 131 740

Lowell, MA–NH PMSA 1 ----- (D) 10 34 597 24 7 534 5 288 53 34 640 Manchester, NH PMSA 5 ---- 2 525 22 42 908 34 15 238 7 (D) 91 68 797 Nashua, NH PMSA 8 -------- 3 929 16 42 271 42 20 767 11 7 717 116 112 467 New Bedford, MA PMSA 4 --- 673 13 40 315 29 15 129 10 3 380 66 40 772 Portsmouth–Rochester,

NH–ME PMSA 11 ----------- 2 527 43 61 542 49 35 179 25 10 014 135 115 932 Worcester, MA–CT PMSA 14 -- 3 164 29 79 072 69 27 996 17 22 142 158 173 877

Brownsville–Harlingen–San

Benito, TX MSA 16 ------------ 2 338 33 39 566 54 33 980 22 6 961 102 64 050 Bryan–College Station, TX

MSA 6 ---------------------- 2 194 10 11 738 19 8 994 5 1 359 49 36 726 Buffalo–Niagara Falls, NY

MSA 42 ---------------------- 16 942 86 121 426 252 119 220 71 36 367 502 478 291 Burlington, VT MSA 10 --------- 3 544 24 37 317 34 19 963 10 4 341 115 72 605 Canton–Massillon, OH MSA 17 -- 6 503 20 39 625 67 27 552 22 7 530 168 120 750

Casper, WY MSA 5 ----------- (D) 7 6 948 11 3 938 5 1 643 35 19 235 Cedar Rapids, IA MSA 8 ------- 1 400 11 8 558 27 11 830 6 3 199 82 81 727 Champaign–Urbana, IL MSA 6 -- 2 374 13 15 972 33 14 698 11 5 945 76 69 483 Charleston–North Charleston,

SC MSA 27 ------------------ 7 197 48 60 713 85 36 539 28 6 427 262 183 835

Charleston, WV MSA 12 -------- 3 292 14 26 532 35 15 043 18 4 421 108 64 057

Charlotte–Gastonia–Rock Hill,

NC–SC MSA 55 --------------- 16 111 76 150 613 219 101 908 58 19 732 618 460 371

Charlottesville, VA MSA 7 ------ 2 191 11 20 880 23 10 130 13 5 364 73 50 116

Chattanooga, TN–GA MSA 14 --- 4 162 31 77 144 76 30 111 22 8 715 187 161 674

Cheyenne, WY MSA 1 --------- (D) 15 11 492 12 3 911 1 (D) 38 24 046

Chicago–Gary–Kenosha,

IL–IN–WI CMSA 372 ------------ 164 107 591 1 239 679 1 286 759 959 500 262 481 3 446 3 739 963

Chicago, IL PMSA 350 --------- 156 127 534 1 149 784 1 170 693 877 454 242 865 3 143 3 472 810

Gary, IN PMSA 11 ----------- 4 675 33 58 309 78 42 237 27 10 592 189 187 595

Kankakee, IL PMSA 3 ------- 566 4 12 390 15 5 985 6 1 735 43 39 199

Kenosha, WI PMSA 8 ------- 2 739 20 19 196 23 17 860 13 7 289 71 40 359

Chico–Paradise, CA MSA 5 ---- 949 9 12 242 25 8 714 15 3 416 97 66 801

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–43
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 34

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Furniture and homefurnishings stores

(SIC 57)mCon.

Furniture stores (SIC 5712)Homefurnishings stores

(SIC 5713, 4, 9)

Household appliance stores

(SIC 572)

Radio, television,

computer, and music stores

(SIC 573)

Eating and drinking places

(SIC 58)

Total Eating places

(SIC 5812)

Total

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

United States 32 ------ 478 30 416 124 33 017 19 747 745 9 743 8 155 425 34 835 34 886 749 433 608 195 316 992 377 760 184 203 215

Abilene, TX MSA 16 ------------ 13 193 11 (D) 3 (D) 23 15 035 213 97 997 193 91 854 Albany, GA MSA 20 ------------ 18 190 20 5 390 5 3 088 23 12 908 164 85 234 152 82 331 Albany–Schenectady–Troy,

NY MSA 87 ------------------ 94 278 94 57 172 47 33 668 118 83 031 1 681 614 915 1 411 580 643 Albuquerque, NM MSA 65 ------ 86 930 78 41 415 19 29 659 95 93 388 1 049 536 451 957 503 235 Alexandria, LA MSA 11 --------- 15 821 10 5 554 4 1 096 25 10 749 164 75 079 145 71 039

Allentown–Bethlehem–Easton,

PA MSA 63 ------------------- 60 241 61 32 896 29 12 940 78 70 966 1 063 440 653 908 413 210

Altoona, PA MSA 16 ----------- 23 945 14 6 236 7 9 631 21 12 236 224 81 956 178 76 139

Amarillo, TX MSA 28 ----------- 26 352 32 13 035 13 7 588 32 38 905 390 181 258 342 173 041

Anchorage, AK MSA 27 -------- 33 499 38 24 291 4 2 308 38 34 973 510 363 523 429 323 396

Anniston, AL MSA 27 ----------- 13 208 10 (D) 2 (D) 15 10 998 145 78 591 137 77 349

Appleton–Oshkosh–Neenah,

WI MSA 49 ------------------- 36 410 33 22 027 17 17 981 39 74 276 649 239 591 453 212 181

Asheville, NC MSA 34 ---------- 33 936 35 17 227 7 8 514 32 29 957 332 177 638 322 176 510

Athens, GA MSA 19 ------------ 13 962 11 5 161 6 2 603 20 15 175 208 98 723 189 94 990

Atlanta, GA MSA 437 ------------ 498 532 446 279 016 88 65 317 471 529 189 5 600 3 194 147 5 335 3 085 537

Augusta–Aiken, GA–SC MSA 67 - 63 780 54 26 796 19 8 245 53 43 529 592 299 544 536 288 745

Austin–San Marcos, TX MSA 96 - 103 818 95 62 751 18 15 916 153 196 756 1 560 845 888 1 412 789 157 Bakersfield, CA MSA 62 -------- 50 517 52 33 993 15 14 711 58 58 201 827 349 014 731 335 483 Bangor, ME MSA 11 ----------- 7 823 13 8 381 9 8 261 15 11 207 178 83 033 168 81 307 Barnstable–Yarmouth, MA

MSA 23 ---------------------- 13 694 54 51 829 10 5 393 29 15 518 457 206 864 432 199 246 Baton Rouge, LA MSA 60 ------- 66 682 55 34 020 17 12 476 67 68 054 727 385 202 632 364 663

Beaumont–Port Arthur, TX

MSA 38 ---------------------- 28 432 35 19 104 22 28 827 47 35 394 508 244 136 443 232 323

Bellingham, WA MSA 22 -------- 34 680 35 (D) 11 (D) 33 25 142 310 138 860 266 124 935

Benton Harbor, MI MSA 17 ----- 9 662 15 5 247 9 8 614 17 5 679 304 119 384 264 111 278

Billings, MT MSA 23 ------------ 21 831 15 13 460 5 3 204 20 17 026 266 127 235 211 108 191

Biloxi–Gulfport–Pascagoula,

MS MSA 37 ------------------ 25 983 31 14 060 12 10 568 40 23 394 471 204 558 399 192 889

Binghamton, NY MSA 31 ------- 40 807 38 25 001 9 2 221 28 15 818 489 182 067 372 166 496

Birmingham, AL MSA 135 -------- 120 642 114 68 378 34 18 791 109 114 252 1 204 627 216 1 122 611 153

Bismarck, ND MSA 13 ---------- 10 415 18 10 461 9 4 060 11 9 680 153 63 157 120 56 955

Bloomington, IN MSA 15 -------- 7 557 19 10 063 7 11 571 31 11 271 222 111 103 201 105 897 Bloomington–Normal, IL MSA 23 - 16 044 16 13 566 7 4 002 23 29 235 265 135 586 236 130 795 Boise City, ID MSA 47 ---------- 62 482 55 36 070 15 9 316 45 43 767 575 245 350 499 228 460

Boston–Worcester–Lawrence,

MA–NH–ME–CT CMSA 597 ----- 630 818 782 (D) 180 (D) 740 691 815 10 152 4 885 081 9 066 4 619 625 Boston, MA–NH PMSA 367 ---- 335 505 481 351 946 100 110 149 460 452 640 6 249 3 290 440 5 594 3 105 392 Brockton, MA PMSA 18 ------- 50 536 27 28 043 8 9 542 25 15 966 384 174 745 346 166 108 Fitchburg–Leominster, MA

PMSA 20 ------------------- 23 488 15 5 150 4 3 061 14 8 987 251 89 523 213 84 387 Lawrence, MA–NH PMSA 34 -- 30 514 42 21 268 16 14 434 49 65 524 565 233 674 523 225 703

Lowell, MA–NH PMSA 12 ----- 15 898 21 9 835 6 3 910 14 4 997 426 163 079 376 151 868 Manchester, NH PMSA 27 ---- 25 460 28 (D) 2 (D) 34 22 577 293 128 841 273 122 407 Nashua, NH PMSA 25 -------- 40 448 39 18 537 9 4 938 43 48 544 287 135 627 280 133 606 New Bedford, MA PMSA 19 --- 20 131 28 9 135 5 4 218 14 7 288 342 118 075 276 107 549 Portsmouth–Rochester,

NH–ME PMSA 38 ----------- 25 848 52 45 506 12 22 701 33 21 877 512 220 070 490 213 991 Worcester, MA–CT PMSA 37 -- 62 990 49 34 771 18 32 701 54 43 415 843 331 007 695 308 614

Brownsville–Harlingen–San

Benito, TX MSA 32 ------------ 29 614 19 5 362 8 5 524 43 23 550 374 162 820 314 150 383 Bryan–College Station, TX

MSA 9 ---------------------- 10 815 17 (D) 2 (D) 21 15 877 196 104 802 177 97 501 Buffalo–Niagara Falls, NY

MSA 126 ---------------------- 131 148 180 105 587 54 80 281 142 161 275 2 593 899 522 2 057 820 644 Burlington, VT MSA 34 --------- 23 493 35 19 177 10 7 140 36 22 795 331 157 213 295 147 424 Canton–Massillon, OH MSA 41 -- 30 941 58 28 782 23 11 183 46 49 844 745 286 550 620 268 597

Casper, WY MSA 8 ----------- 6 731 9 4 577 3 1 267 15 6 660 135 48 978 121 44 239 Cedar Rapids, IA MSA 18 ------- 32 456 18 12 183 9 3 456 37 33 632 363 160 513 290 146 219 Champaign–Urbana, IL MSA 17 -- 16 265 16 10 094 8 5 651 35 37 473 339 163 612 291 149 740 Charleston–North Charleston,

SC MSA 91 ------------------ 73 174 85 37 634 15 14 214 71 58 813 849 425 247 750 402 832

Charleston, WV MSA 31 -------- 23 165 37 13 130 7 3 311 33 24 451 422 196 454 379 190 441

Charlotte–Gastonia–Rock Hill,

NC–SC MSA 207 --------------- 166 691 191 109 384 52 43 480 168 140 816 1 946 993 950 1 847 969 490

Charlottesville, VA MSA 20 ------ 17 411 27 13 319 4 6 075 22 13 311 225 128 312 222 126 451

Chattanooga, TN–GA MSA 59 --- 66 046 54 30 364 17 11 536 57 53 728 670 354 458 643 348 158

Cheyenne, WY MSA 9 --------- (D) 14 8 829 2 (D) 13 6 210 123 64 160 111 60 443

Chicago–Gary–Kenosha,

IL–IN–WI CMSA 857 ------------ 1 069 839 1 154 868 586 197 273 809 1 238 1 527 729 14 361 6 919 460 12 217 6 482 637

Chicago, IL PMSA 779 --------- 982 563 1 056 811 542 164 240 609 1 144 1 438 096 12 835 6 339 923 10 991 5 946 965

Gary, IN PMSA 52 ----------- 70 263 55 37 800 19 13 726 63 65 806 1 034 418 749 868 392 350

Kankakee, IL PMSA 13 ------- 6 999 10 4 150 6 16 561 14 11 489 188 66 960 156 62 604

Kenosha, WI PMSA 13 ------- 10 014 33 15 094 8 2 913 17 12 338 304 93 828 202 80 718

Chico–Paradise, CA MSA 25 ---- 12 725 23 14 196 11 15 962 38 23 918 315 125 394 262 114 922

See footnotes at end of table.

US–44nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 35

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Eating and drinking places

(SIC 58)mCon.

Eating places

(SIC 5812)mCon.

Restaurants

(SIC 5812 pt.)

Cafeterias

(SIC 5812 pt.)

Refreshment places

(SIC 5812 pt.)

Other eating places

(SIC 5812 pt.)

Drinking places

(SIC 5813)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

United States 170 ------ 183 85 178 356 5 513 3 619 172 164 341 77 685 530 37 723 17 720 157 55 848 11 113 777

Abilene, TX MSA 69 ------------ 30 927 4 (D) 104 44 648 16 (D) 20 6 143 Albany, GA MSA 60 ------------ 29 049 2 (D) 81 45 246 9 (D) 12 2 903 Albany–Schenectady–Troy,

NY MSA 686 ------------------ 282 869 15 4 228 527 203 391 183 90 155 270 34 272 Albuquerque, NM MSA 403 ------ 220 712 17 24 302 468 231 078 69 27 143 92 33 216 Alexandria, LA MSA 57 --------- 20 030 4 (D) 75 42 522 9 (D) 19 4 040

Allentown–Bethlehem–Easton,

PA MSA 440 ------------------- 183 191 4 (D) 344 139 748 120 (D) 155 27 443

Altoona, PA MSA 74 ----------- 34 945 – – 84 36 267 20 4 927 46 5 817

Amarillo, TX MSA 133 ----------- 72 584 8 10 585 176 75 735 25 14 137 48 8 217

Anchorage, AK MSA 177 -------- 113 114 8 (D) 168 104 464 76 (D) 81 40 127

Anniston, AL MSA 48 ----------- 23 687 1 (D) 76 47 990 12 (D) 8 1 242

Appleton–Oshkosh–Neenah,

WI MSA 227 ------------------- 107 016 3 (D) 188 83 252 35 (D) 196 27 410

Asheville, NC MSA 138 ---------- 77 621 3 (D) 149 79 642 32 (D) 10 1 128

Athens, GA MSA 82 ------------ 39 570 3 (D) 93 50 321 11 (D) 19 3 733

Atlanta, GA MSA 2 ------------ 206 1 347 595 128 93 387 2 422 1 333 686 579 310 869 265 108 610

Augusta–Aiken, GA–SC MSA 224 - 112 640 12 11 879 266 149 986 34 14 240 56 10 799

Austin–San Marcos, TX MSA 577 - 348 762 37 39 408 676 345 253 122 55 734 148 56 731 Bakersfield, CA MSA 320 -------- 141 964 10 6 308 362 175 605 39 11 606 96 13 531 Bangor, ME MSA 76 ----------- 41 400 1 (D) 75 30 191 16 (D) 10 1 726 Barnstable–Yarmouth, MA

MSA 271 ---------------------- 149 319 – – 119 43 245 42 6 682 25 7 618 Baton Rouge, LA MSA 241 ------- 137 602 12 (D) 340 192 694 39 (D) 95 20 539

Beaumont–Port Arthur, TX

MSA 176 ---------------------- 91 148 14 16 125 227 117 009 26 8 041 65 11 813

Bellingham, WA MSA 154 -------- 71 976 3 (D) 100 44 861 9 (D) 44 13 925

Benton Harbor, MI MSA 124 ----- 49 556 1 (D) 110 55 808 29 (D) 40 8 106

Billings, MT MSA 94 ------------ 53 769 6 1 952 86 41 608 25 10 862 55 19 044

Biloxi–Gulfport–Pascagoula,

MS MSA 164 ------------------ 71 396 4 (D) 195 105 751 36 (D) 72 11 669

Binghamton, NY MSA 172 ------- 73 337 1 (D) 137 63 969 62 (D) 117 15 571

Birmingham, AL MSA 377 -------- 186 088 35 26 671 611 324 568 99 73 826 82 16 063

Bismarck, ND MSA 51 ---------- 27 020 2 (D) 58 28 136 9 (D) 33 6 202

Bloomington, IN MSA 76 -------- 41 827 1 (D) 98 53 252 26 (D) 21 5 206 Bloomington–Normal, IL MSA 98 - 61 993 4 3 144 105 56 021 29 9 637 29 4 791 Boise City, ID MSA 211 ---------- 102 728 6 4 053 223 96 241 59 25 438 76 16 890

Boston–Worcester–Lawrence,

MA–NH–ME–CT CMSA 3 ----- 963 2 456 953 79 23 747 3 623 1 424 063 1 401 714 862 1 086 265 456 Boston, MA–NH PMSA 2 ---- 349 1 641 254 65 19 495 2 212 889 924 968 554 719 655 185 048 Brockton, MA PMSA 160 ------- 87 388 3 273 147 58 187 36 20 260 38 8 637 Fitchburg–Leominster, MA

PMSA 98 ------------------- 40 929 – – 90 33 622 25 9 836 38 5 136 Lawrence, MA–NH PMSA 217 -- 107 425 2 (D) 220 75 063 84 (D) 42 7 971

Lowell, MA–NH PMSA 143 ----- 71 358 1 (D) 156 56 099 76 (D) 50 11 211 Manchester, NH PMSA 136 ---- 67 771 2 (D) 110 47 058 25 (D) 20 6 434 Nashua, NH PMSA 133 -------- 80 038 – – 111 43 745 36 9 823 7 2 021 New Bedford, MA PMSA 144 --- 58 425 1 (D) 107 40 092 24 (D) 66 10 526 Portsmouth–Rochester,

NH–ME PMSA 253 ----------- 139 418 1 (D) 186 63 858 50 (D) 22 6 079 Worcester, MA–CT PMSA 330 -- 162 947 4 1 813 284 116 415 77 27 439 148 22 393

Brownsville–Harlingen–San

Benito, TX MSA 141 ------------ 50 273 10 12 956 140 82 041 23 5 113 60 12 437 Bryan–College Station, TX

MSA 71 ---------------------- 39 607 3 4 214 93 51 082 10 2 598 19 7 301 Buffalo–Niagara Falls, NY

MSA 903 ---------------------- 379 213 37 9 964 826 317 155 291 114 312 536 78 878 Burlington, VT MSA 143 --------- 76 956 1 (D) 114 47 723 37 (D) 36 9 789 Canton–Massillon, OH MSA 260 -- 131 262 4 (D) 302 125 572 54 (D) 125 17 953

Casper, WY MSA 56 ----------- 20 115 2 (D) 59 22 269 4 (D) 14 4 739 Cedar Rapids, IA MSA 110 ------- 53 775 4 (D) 140 67 097 36 (D) 73 14 294 Champaign–Urbana, IL MSA 113 -- 61 680 4 2 222 138 74 119 36 11 719 48 13 872 Charleston–North Charleston,

SC MSA 330 ------------------ 183 661 8 9 310 351 177 088 61 32 773 99 22 415

Charleston, WV MSA 113 -------- 70 388 6 3 379 224 105 097 36 11 577 43 6 013

Charlotte–Gastonia–Rock Hill,

NC–SC MSA 803 --------------- 388 313 21 26 883 828 455 706 195 98 588 99 24 460

Charlottesville, VA MSA 114 ------ 50 261 2 (D) 71 42 234 35 (D) 3 1 861

Chattanooga, TN–GA MSA 253 --- 137 947 10 9 693 330 181 053 50 19 465 27 6 300

Cheyenne, WY MSA 54 --------- 31 339 4 1 529 49 26 720 4 855 12 3 717

Chicago–Gary–Kenosha,

IL–IN–WI CMSA 5 ------------ 085 3 019 165 99 (D) 5 530 2 601 059 1 503 (D) 2 144 436 823

Chicago, IL PMSA 4 --------- 579 2 786 963 95 60 157 4 932 2 330 049 1 385 769 796 1 844 392 958

Gary, IN PMSA 352 ----------- 170 252 4 (D) 429 198 722 83 (D) 166 26 399

Kankakee, IL PMSA 59 ------- 22 342 – – 80 35 731 17 4 531 32 4 356

Kenosha, WI PMSA 95 ------- 39 608 – – 89 36 557 18 4 553 102 13 110

Chico–Paradise, CA MSA 124 ---- 54 054 2 (D) 118 54 661 18 (D) 53 10 472

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–45
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 36

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Drug and proprietary stores

(SIC 591)

Miscellaneous retail stores

(SIC 59 ex. 591)

Total Liquor stores

(SIC 592)

Used merchandise stores

(SIC 593)

Miscellaneous shopping goods

stores (SIC 594)

Total

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

United States 48 ------ 142 77 487 573 302 538 183 941 461 31 386 20 319 081 19 826 5 650 584 127 312 66 175 409

Abilene, TX MSA 23 ------------ 33 074 156 65 751 13 5 835 18 2 830 65 32 893 Albany, GA MSA 29 ------------ 36 641 149 88 386 18 19 149 17 3 586 55 26 798 Albany–Schenectady–Troy,

NY MSA 179 ------------------ 323 311 1 093 687 595 120 62 576 34 5 316 453 242 619 Albuquerque, NM MSA 88 ------ 210 388 736 546 377 43 32 905 58 18 142 334 198 164 Alexandria, LA MSA 24 --------- 31 371 128 49 953 4 2 915 10 1 389 54 25 532

Allentown–Bethlehem–Easton,

PA MSA 119 ------------------- 204 783 729 470 195 82 83 038 21 7 425 296 152 709

Altoona, PA MSA 34 ----------- 59 968 143 72 831 15 10 028 8 (D) 59 24 801

Amarillo, TX MSA 34 ----------- 35 703 259 110 212 24 11 781 25 3 171 100 49 846

Anchorage, AK MSA 16 -------- 81 487 391 247 579 46 52 928 24 7 710 196 128 916

Anniston, AL MSA 32 ----------- 28 310 132 54 929 6 5 889 22 5 429 48 17 759

Appleton–Oshkosh–Neenah,

WI MSA 45 ------------------- 59 868 360 268 802 19 15 327 19 4 406 183 95 235

Asheville, NC MSA 47 ---------- 82 988 299 152 112 15 15 562 28 5 416 140 55 686

Athens, GA MSA 29 ------------ 40 181 198 93 591 27 18 808 22 5 759 79 35 430

Atlanta, GA MSA 617 ------------ 908 803 3 798 2 419 586 358 347 551 366 124 528 1 488 909 240

Augusta–Aiken, GA–SC MSA 88 - 103 214 492 190 508 70 27 365 39 6 672 192 80 292

Austin–San Marcos, TX MSA 121 - 184 654 1 088 968 054 114 53 181 129 53 899 417 299 588 Bakersfield, CA MSA 77 -------- 186 660 442 195 920 51 22 705 29 7 009 192 94 583 Bangor, ME MSA 20 ----------- 32 571 171 108 675 6 5 160 10 1 686 72 40 299 Barnstable–Yarmouth, MA

MSA 37 ---------------------- 66 027 393 178 629 54 44 476 23 4 608 190 65 249 Baton Rouge, LA MSA 96 ------- 145 998 462 211 755 10 4 464 37 11 307 203 116 749

Beaumont–Port Arthur, TX

MSA 73 ---------------------- 95 167 381 160 077 40 29 857 28 5 103 152 70 774

Bellingham, WA MSA 24 -------- 48 435 245 156 580 25 40 477 18 7 230 123 56 322

Benton Harbor, MI MSA 30 ----- 47 898 139 62 600 18 11 676 7 1 746 56 19 798

Billings, MT MSA 17 ------------ 26 399 184 84 872 6 6 978 23 5 578 81 42 764

Biloxi–Gulfport–Pascagoula,

MS MSA 67 ------------------ 66 684 369 94 229 52 13 806 41 6 365 144 43 234

Binghamton, NY MSA 53 ------- 98 269 281 177 956 28 13 481 13 2 416 110 68 496

Birmingham, AL MSA 216 -------- 274 037 948 594 440 65 54 771 84 37 142 398 205 378

Bismarck, ND MSA 20 ---------- 28 299 127 53 180 15 10 270 9 1 171 58 24 246

Bloomington, IN MSA 17 -------- 30 956 179 71 922 14 9 402 12 2 727 86 38 158 Bloomington–Normal, IL MSA 17 - 46 846 169 98 915 5 4 762 10 2 743 79 47 709 Boise City, ID MSA 35 ---------- 63 392 399 185 328 11 10 961 51 16 743 199 101 934

Boston–Worcester–Lawrence,

MA–NH–ME–CT CMSA 1 ----- 098 2 068 659 7 409 (D) 1 031 1 026 543 310 91 659 2 938 1 875 339 Boston, MA–NH PMSA 647 ---- 1 284 510 4 623 3 901 271 675 666 347 188 62 158 1 797 1 249 317 Brockton, MA PMSA 44 ------- 84 504 272 504 435 49 40 381 11 3 036 88 54 860 Fitchburg–Leominster, MA

PMSA 36 ------------------- 45 367 163 (D) 31 24 335 6 1 241 64 30 896 Lawrence, MA–NH PMSA 68 -- 131 295 390 267 291 44 44 786 20 8 877 170 87 182

Lowell, MA–NH PMSA 53 ----- 94 429 253 162 406 50 38 444 8 1 067 87 33 245 Manchester, NH PMSA 35 ---- 62 309 269 191 363 12 32 605 10 1 410 116 68 574 Nashua, NH PMSA 34 -------- 65 331 249 206 978 6 15 489 15 2 694 122 95 351 New Bedford, MA PMSA 37 --- 63 969 189 111 054 39 28 032 4 188 73 31 116 Portsmouth–Rochester,

NH–ME PMSA 42 ----------- 62 872 430 301 276 15 53 393 27 6 285 224 121 608 Worcester, MA–CT PMSA 102 -- 174 073 571 373 664 110 82 731 21 4 703 197 103 190

Brownsville–Harlingen–San

Benito, TX MSA 39 ------------ 35 078 290 156 252 15 11 688 47 16 376 140 84 793 Bryan–College Station, TX

MSA 16 ---------------------- 13 891 154 97 404 10 6 456 18 4 220 77 67 534 Buffalo–Niagara Falls, NY

MSA 256 ---------------------- 450 381 1 347 799 800 140 122 812 57 16 275 575 309 460 Burlington, VT MSA 40 --------- 50 963 319 232 263 27 18 313 11 1 411 139 59 124 Canton–Massillon, OH MSA 76 -- 141 352 444 384 124 42 33 176 16 4 150 193 97 714

Casper, WY MSA 7 ----------- 7 058 141 (D) 18 8 510 11 1 767 57 17 654 Cedar Rapids, IA MSA 31 ------- 64 467 230 118 998 4 662 22 4 209 99 54 563 Champaign–Urbana, IL MSA 22 -- 47 833 198 97 385 11 13 637 14 1 946 91 47 235 Charleston–North Charleston,

SC MSA 97 ------------------ 134 811 701 251 830 60 32 939 52 13 661 306 126 366

Charleston, WV MSA 54 -------- 107 909 283 117 195 6 5 145 24 10 398 118 51 361

Charlotte–Gastonia–Rock Hill,

NC–SC MSA 256 --------------- 375 042 1 405 714 891 64 66 430 102 26 752 611 324 778

Charlottesville, VA MSA 19 ------ 35 937 228 188 004 6 7 063 21 (D) 104 53 034

Chattanooga, TN–GA MSA 107 --- 119 323 543 235 128 48 30 221 48 9 043 234 102 208

Cheyenne, WY MSA 7 --------- 8 650 112 106 361 12 13 512 8 1 343 33 12 683

Chicago–Gary–Kenosha,

IL–IN–WI CMSA 1 ------------ 452 3 557 205 8 765 7 552 430 1 041 738 967 412 (D) 3 638 2 401 907

Chicago, IL PMSA 1 --------- 304 3 247 778 7 958 7 007 053 913 665 629 381 138 477 3 326 2 245 878

Gary, IN PMSA 117 ----------- 251 093 601 312 414 105 60 496 24 4 532 222 119 138

Kankakee, IL PMSA 19 ------- 33 835 86 44 480 10 4 746 4 532 36 14 185

Kenosha, WI PMSA 12 ------- 24 499 120 188 483 13 8 096 3 (D) 54 22 706

Chico–Paradise, CA MSA 32 ---- 72 361 237 96 252 17 8 216 21 3 288 111 56 803

See footnotes at end of table.

US–46nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 37

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Miscellaneous retail stores

(SIC 59 ex. 591)mCon.

Miscellaneous shopping goods stores

(SIC 594)mCon.

Sporting goods stores and

bicycle shops

(SIC 5941)

Book stores

(SIC 5942)

Jewelry stores

(SIC 5944)

Other miscellaneous

shopping goods stores

(SIC 5943, 5, 6, 7, 8, 9)

Nonstore retailers (SIC 596)Fuel dealers

(SIC 598)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

United States 23 ------ 314 14 460 994 12 887 8 014 885 28 077 14 001 976 63 034 29 697 554 27 805 51 079 997 10 973 13 875 226

Abilene, TX MSA 15 ------------ 7 072 8 4 076 13 6 784 29 14 961 13 11 798 – – Albany, GA MSA 9 ------------ 6 541 6 2 658 14 7 249 26 10 350 11 26 026 7 4 253 Albany–Schenectady–Troy,

NY MSA 74 ------------------ 41 819 60 35 812 101 43 542 218 121 446 84 115 394 72 140 968 Albuquerque, NM MSA 58 ------ 55 016 43 24 367 73 33 101 160 85 680 76 199 823 15 9 561 Alexandria, LA MSA 5 --------- 3 109 7 3 050 14 6 944 28 12 429 13 7 651 2 (D)

Allentown–Bethlehem–Easton,

PA MSA 45 ------------------- 24 323 27 14 804 69 30 296 155 83 286 75 62 917 69 102 647

Altoona, PA MSA 8 ----------- 3 618 8 3 663 12 5 916 31 11 604 11 (D) 6 15 458

Amarillo, TX MSA 21 ----------- 8 869 9 4 969 17 9 755 53 26 253 28 19 072 2 (D)

Anchorage, AK MSA 30 -------- 42 711 22 14 257 34 19 905 110 52 043 24 18 513 2 (D)

Anniston, AL MSA 10 ----------- 4 939 5 3 228 12 6 668 21 2 924 10 11 141 5 3 065

Appleton–Oshkosh–Neenah,

WI MSA 43 ------------------- 31 174 17 9 128 35 15 569 88 39 364 38 107 041 10 10 886

Asheville, NC MSA 21 ---------- 6 796 16 8 930 27 9 524 76 30 436 24 44 233 16 16 324

Athens, GA MSA 11 ------------ 11 170 11 3 290 18 8 521 39 12 449 14 16 903 2 (D)

Atlanta, GA MSA 224 ------------ 193 217 171 112 850 335 192 778 758 410 395 416 601 393 55 48 702

Augusta–Aiken, GA–SC MSA 35 - 10 422 17 6 230 51 28 293 89 35 347 36 26 928 11 8 304

Austin–San Marcos, TX MSA 80 - 79 571 68 66 707 78 39 731 191 113 579 112 449 688 28 16 668 Bakersfield, CA MSA 48 -------- 22 628 12 4 472 51 24 226 81 43 257 34 22 675 13 9 287 Bangor, ME MSA 16 ----------- 8 616 10 4 652 13 4 926 33 22 105 16 14 532 15 35 200 Barnstable–Yarmouth, MA

MSA 36 ---------------------- 14 809 15 6 783 33 14 698 106 28 959 17 11 080 21 30 317 Baton Rouge, LA MSA 46 ------- 31 829 22 13 033 52 29 053 83 42 834 52 27 412 1 (D)

Beaumont–Port Arthur, TX

MSA 28 ---------------------- 12 502 11 6 188 47 21 386 66 30 698 24 16 777 9 3 955

Bellingham, WA MSA 25 -------- 18 860 19 7 792 17 6 179 62 23 491 19 30 949 3 4 230

Benton Harbor, MI MSA 13 ----- 4 668 3 (D) 10 (D) 30 8 523 15 14 167 4 2 771

Billings, MT MSA 22 ------------ 16 129 9 3 844 15 7 602 35 15 189 12 8 274 2 (D)

Biloxi–Gulfport–Pascagoula,

MS MSA 23 ------------------ 8 209 11 4 066 36 10 709 74 20 250 16 6 107 9 (D)

Binghamton, NY MSA 18 ------- 20 583 11 10 206 28 11 444 53 26 263 26 25 826 17 40 556

Birmingham, AL MSA 70 -------- 46 992 45 23 427 90 45 146 193 89 813 85 198 451 29 18 910

Bismarck, ND MSA 10 ---------- 8 181 5 2 034 13 4 997 30 9 034 6 6 920 2 (D)

Bloomington, IN MSA 18 -------- 5 173 17 17 007 16 6 265 35 9 713 19 8 694 4 3 096 Bloomington–Normal, IL MSA 19 - 9 631 8 12 155 9 5 579 43 20 344 25 26 524 3 (D)

Boise City, ID MSA 54 ---------- 38 274 23 10 505 35 16 021 87 37 134 43 20 376 7 5 739

Boston–Worcester–Lawrence,

MA–NH–ME–CT CMSA 484 ----- 373 140 371 318 101 614 395 481 1 469 788 617 694 (D) 620 1 017 920 Boston, MA–NH PMSA 274 ---- 225 057 249 238 116 392 285 490 882 500 654 424 908 171 386 594 697 Brockton, MA PMSA 15 ------- 7 606 12 8 888 21 6 956 40 31 410 26 (D) 32 30 210 Fitchburg–Leominster, MA

PMSA 15 ------------------- 5 527 8 5 095 11 4 817 30 15 457 17 16 908 20 46 207 Lawrence, MA–NH PMSA 34 -- 18 029 14 8 812 39 18 175 83 42 166 36 36 410 22 55 219

Lowell, MA–NH PMSA 16 ----- 5 601 12 8 787 11 2 047 48 16 810 25 50 611 19 21 553 Manchester, NH PMSA 26 ---- 19 375 12 6 809 21 13 286 57 29 104 31 22 493 17 35 750 Nashua, NH PMSA 22 -------- 20 454 12 8 781 23 22 761 65 43 355 24 13 475 14 48 248 New Bedford, MA PMSA 7 --- 3 662 3 1 584 21 10 215 42 15 655 8 6 438 21 32 007 Portsmouth–Rochester,

NH–ME PMSA 42 ----------- 47 607 20 14 530 30 10 638 132 48 833 41 27 798 34 70 004 Worcester, MA–CT PMSA 33 -- 20 222 29 16 699 45 21 096 90 45 173 62 57 359 55 84 025

Brownsville–Harlingen–San

Benito, TX MSA 13 ------------ 5 213 6 4 817 33 47 085 88 27 678 17 23 252 7 6 151 Bryan–College Station, TX

MSA 18 ---------------------- 18 356 15 32 010 15 5 776 29 11 392 11 6 595 3 2 125 Buffalo–Niagara Falls, NY

MSA 107 ---------------------- 71 084 51 40 510 152 51 842 265 146 024 157 147 080 15 27 817 Burlington, VT MSA 33 --------- 19 391 17 8 546 18 8 962 71 22 225 40 63 000 23 66 946 Canton–Massillon, OH MSA 45 -- 21 098 18 6 821 43 22 468 87 47 327 41 204 187 8 5 643

Casper, WY MSA 12 ----------- 5 341 6 2 827 9 3 152 30 6 334 15 14 100 1 (D)

Cedar Rapids, IA MSA 21 ------- 10 397 11 5 126 20 14 184 47 24 856 35 25 006 5 12 035 Champaign–Urbana, IL MSA 14 -- 6 390 14 14 855 24 7 815 39 18 175 15 12 990 4 (D)

Charleston–North Charleston,

SC MSA 51 ------------------ 26 116 36 14 256 56 30 038 163 55 956 54 20 823 10 8 468

Charleston, WV MSA 25 -------- 11 910 15 5 400 23 13 153 55 20 898 23 18 196 3 2 091

Charlotte–Gastonia–Rock Hill,

NC–SC MSA 105 --------------- 61 283 64 36 639 158 74 772 284 152 084 161 130 287 58 57 292

Charlottesville, VA MSA 18 ------ 7 054 14 8 509 17 8 273 55 29 198 29 (D) 10 13 080

Chattanooga, TN–GA MSA 41 --- 14 686 23 13 443 59 27 865 111 46 214 51 42 734 8 4 067

Cheyenne, WY MSA 9 --------- 4 141 4 1 439 6 3 411 14 3 692 14 65 358 6 4 132

Chicago–Gary–Kenosha,

IL–IN–WI CMSA 632 ------------ 498 941 398 289 133 819 522 775 1 789 1 091 058 1 023 (D) 57 (D)

Chicago, IL PMSA 564 --------- 462 540 366 271 867 758 491 414 1 638 1 020 057 949 2 955 909 41 21 435

Gary, IN PMSA 48 ----------- 30 347 25 13 130 44 23 680 105 51 981 55 57 019 9 6 448

Kankakee, IL PMSA 7 ------- 1 312 3 1 285 7 3 049 19 8 539 10 11 966 4 5 488

Kenosha, WI PMSA 13 ------- 4 742 4 2 851 10 4 632 27 10 481 9 (D) 3 (D)

Chico–Paradise, CA MSA 27 ---- 15 138 15 14 806 16 5 545 53 21 314 21 9 866 6 4 952

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–47
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 38

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Miscellaneous retail stores

(SIC 59 ex. 591)mCon.

Florists

(SIC 5992)

Tobacco stores and stands

(SIC 5993)

News dealers and newsstands

(SIC 5994)

Optical goods stores

(SIC 5995)

Miscellaneous retail stores,

n.e.c.

(SIC 5999)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

United States 27 ------ 341 5 719 237 1 477 781 826 2 260 704 285 14 160 4 806 183 39 998 14 829 633

Abilene, TX MSA 9 ------------ 1 543 – – – – 12 3 735 26 7 117 Albany, GA MSA 18 ------------ 2 685 – – – – 8 2 783 15 3 106 Albany–Schenectady–Troy,

NY MSA 100 ------------------ 22 493 10 4 805 21 7 868 66 26 418 133 59 138 Albuquerque, NM MSA 42 ------ 12 604 6 (D) 6 (D) 39 11 503 117 (D)

Alexandria, LA MSA 16 --------- 2 650 1 (D) – – 10 2 772 18 (D)

Allentown–Bethlehem–Easton,

PA MSA 65 ------------------- 17 439 3 (D) 10 3 091 32 11 928 76 (D)

Altoona, PA MSA 13 ----------- (D) 1 (D) 2 (D) 5 1 935 23 (D)

Amarillo, TX MSA 21 ----------- 4 733 2 (D) – – 14 5 937 43 (D)

Anchorage, AK MSA 31 -------- 8 080 2 (D) 1 (D) 23 7 922 42 (D)

Anniston, AL MSA 13 ----------- 1 417 – – – – 9 3 445 19 6 784

Appleton–Oshkosh–Neenah,

WI MSA 19 ------------------- 8 224 – – 3 808 23 6 842 46 20 033

Asheville, NC MSA 32 ---------- 4 174 2 (D) – – 10 3 563 32 (D)

Athens, GA MSA 18 ------------ 3 911 – – 2 (D) 13 2 509 21 (D)

Atlanta, GA MSA 339 ------------ 77 388 4 2 140 9 3 135 194 79 883 569 225 626

Augusta–Aiken, GA–SC MSA 49 - 9 703 4 (D) 7 (D) 23 9 150 61 20 314

Austin–San Marcos, TX MSA 86 - 18 957 5 1 911 5 1 254 54 18 205 138 54 703 Bakersfield, CA MSA 44 -------- 9 865 3 (D) – – 20 5 704 56 (D)

Bangor, ME MSA 14 ----------- 2 675 – – 1 (D) 7 1 803 30 (D)

Barnstable–Yarmouth, MA

MSA 26 ---------------------- 3 758 – – 5 2 653 15 3 245 42 13 243 Baton Rouge, LA MSA 45 ------- 11 323 2 (D) 3 (D) 28 9 749 81 28 346

Beaumont–Port Arthur, TX

MSA 46 ---------------------- 6 217 – – 6 1 325 21 5 357 55 20 712

Bellingham, WA MSA 18 -------- 2 727 1 (D) 1 (D) 10 3 270 27 (D)

Benton Harbor, MI MSA 16 ----- 4 001 – – – – 7 2 625 16 5 816

Billings, MT MSA 9 ------------ 4 971 1 (D) 2 (D) 10 2 453 38 (D)

Biloxi–Gulfport–Pascagoula,

MS MSA 33 ------------------ 4 853 3 1 259 3 (D) 19 (D) 49 (D)

Binghamton, NY MSA 22 ------- 5 436 1 (D) 4 623 20 8 431 40 (D)

Birmingham, AL MSA 99 -------- 20 462 4 969 3 (D) 51 16 114 130 (D)

Bismarck, ND MSA 8 ---------- 1 925 – – – – 8 2 063 21 (D)

Bloomington, IN MSA 10 -------- 2 319 – – – – 8 2 826 26 4 700 Bloomington–Normal, IL MSA 11 - 2 567 – – 2 (D) 11 4 864 23 (D)

Boise City, ID MSA 35 ---------- 7 158 – – 1 (D) 10 3 878 42 (D)

Boston–Worcester–Lawrence,

MA–NH–ME–CT CMSA 580 ----- 141 488 60 21 551 65 32 533 304 103 093 807 (D)

Boston, MA–NH PMSA 351 ---- 89 226 48 17 691 49 24 394 195 70 283 510 218 987 Brockton, MA PMSA 23 ------- 3 538 3 591 1 (D) 10 2 980 29 (D)

Fitchburg–Leominster, MA

PMSA 10 ------------------- 2 328 – – – – 7 1 719 8 (D)

Lawrence, MA–NH PMSA 34 -- 10 405 2 (D) 1 (D) 15 4 763 46 18 739

Lowell, MA–NH PMSA 26 ----- 5 322 – – – – 7 1 883 31 10 281 Manchester, NH PMSA 25 ---- 6 174 – – 2 (D) 15 4 831 41 (D)

Nashua, NH PMSA 17 -------- 5 201 3 (D) 2 (D) 11 3 536 35 19 408 New Bedford, MA PMSA 16 --- 3 298 – – 1 (D) 8 3 114 19 (D)

Portsmouth–Rochester,

NH–ME PMSA 29 ----------- 6 204 – – 4 1 394 15 3 895 41 10 695 Worcester, MA–CT PMSA 49 -- 9 792 4 (D) 5 3 722 21 6 089 47 (D)

Brownsville–Harlingen–San

Benito, TX MSA 21 ------------ 2 372 – – – – 20 4 544 23 7 076 Bryan–College Station, TX

MSA 11 ---------------------- 2 017 – – – – 10 3 751 14 4 706 Buffalo–Niagara Falls, NY

MSA 101 ---------------------- 22 256 12 (D) 11 3 525 126 39 159 153 (D)

Burlington, VT MSA 23 --------- 4 006 – – 2 (D) 17 5 513 37 (D)

Canton–Massillon, OH MSA 55 -- 9 805 3 285 3 209 21 7 256 62 21 699

Casper, WY MSA 8 ----------- 1 661 1 (D) – – 7 945 23 (D)

Cedar Rapids, IA MSA 15 ------- 6 032 1 (D) 1 (D) 12 5 764 36 (D)

Champaign–Urbana, IL MSA 20 -- 4 045 3 333 2 (D) 12 4 930 26 9 917 Charleston–North Charleston,

SC MSA 58 ------------------ 10 113 2 (D) 11 (D) 38 10 883 110 (D)

Charleston, WV MSA 41 -------- 9 955 1 (D) 2 (D) 16 5 709 49 13 878

Charlotte–Gastonia–Rock Hill,

NC–SC MSA 137 --------------- 25 141 2 (D) 10 2 472 62 19 128 198 (D)

Charlottesville, VA MSA 22 ------ 3 303 – – – – 9 3 721 27 (D)

Chattanooga, TN–GA MSA 42 --- 9 849 1 (D) 1 (D) 32 10 430 78 (D)

Cheyenne, WY MSA 9 --------- 1 629 – – 1 (D) 8 2 131 21 (D)

Chicago–Gary–Kenosha,

IL–IN–WI CMSA 715 ------------ (D) 79 (D) 73 (D) 417 (D) 1 310 (D)

Chicago, IL PMSA 643 --------- 187 674 64 51 054 68 21 409 376 147 987 1 197 571 601

Gary, IN PMSA 57 ----------- 10 970 14 17 868 2 (D) 28 9 280 85 (D)

Kankakee, IL PMSA 4 ------- (D) – – 2 (D) 7 2 790 9 2 175

Kenosha, WI PMSA 11 ------- (D) 1 (D) 1 (D) 6 (D) 19 (D)

Chico–Paradise, CA MSA 17 ---- 2 526 – – 1 (D) 13 2 723 30 (D)

See footnotes at end of table.

US–48nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 39

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Building materials and garden supplies stores

(SIC 52)

Retail trade

Total

Building materials and

supply stores

(SIC 521, 3)

Hardware stores

(SIC 525)

Retail nurseries, lawn

and garden supply stores

(SIC 526)

Manufactured (mobile)

home dealers

(SIC 527)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Cincinnati–Hamilton,

OH–KY–IN CMSA 10 ---------- 497 13 738 824 473 776 281 226 539 536 127 136 651 101 (D) 19 (D)

Cincinnati, OH–KY–IN

PMSA 9 ------------------- 187 12 254 519 414 696 362 200 490 649 111 117 737 86 60 098 17 27 878

Hamilton–Middletown, OH

PMSA 1 ------------------- 310 1 484 305 59 79 919 26 48 887 16 18 914 15 (D) 2 (D)

Clarksville–Hopkinsville,

TN–KY MSA 990 --------------- 1 141 829 55 92 126 36 77 241 6 3 682 8 3 533 5 7 670

Cleveland–Akron, OH CMSA 16 - 955 20 839 520 709 1 100 236 357 885 150 197 117 051 144 (D) 11 (D)

Akron, OH PMSA 3 --------- 763 4 924 483 159 343 364 93 300 209 41 25 953 22 (D) 3 (D)

Cleveland–Lorain–Elyria, OH

PMSA 13 ------------------- 192 15 915 037 550 756 872 264 584 941 156 91 098 122 73 032 8 7 801

Colorado Springs, CO MSA 2 -- 364 3 447 400 78 173 356 46 156 987 16 8 765 11 3 410 5 4 194

Columbia, MO MSA 743 --------- 1 081 643 38 88 138 21 61 090 4 (D) 6 (D) 7 17 193

Columbia, SC MSA 2 ---------- 973 3 681 931 130 273 756 65 187 817 29 18 376 19 7 426 17 60 137

Columbus, GA–AL MSA 1 ------ 471 1 806 728 52 97 140 24 85 271 14 5 519 11 (D) 3 (D)

Columbus, OH MSA 7 --------- 803 12 224 047 331 528 282 181 368 378 73 81 982 60 46 168 17 31 754

Corpus Christi, TX MSA 2 ------ 130 2 582 969 67 98 607 40 81 237 12 7 723 10 5 907 5 3 740

Cumberland, MD–WV MSA 729 --- 660 025 34 36 246 20 27 171 12 (D) 1 (D) 1 (D)

Dallas–Fort Worth, TX CMSA 23 - 215 35 358 810 817 1 416 587 387 1 039 621 189 143 613 196 141 850 45 91 503

Dallas, TX PMSA 15 ---------- 723 24 032 017 543 902 613 255 669 490 128 92 613 135 90 201 25 50 309

Fort Worth–Arlington, TX

PMSA 7 ------------------- 492 11 326 793 274 513 974 132 370 131 61 51 000 61 51 649 20 41 194

Danville, VA MSA 640 ----------- 672 786 29 48 149 16 38 285 3 (D) 5 (D) 5 6 905 Davenport–Moline–Rock

Island, IA–IL MSA 2 ---------- 290 2 877 988 98 139 321 51 101 441 26 23 755 19 (D) 2 (D)

Dayton–Springfield, OH MSA 5 - 284 6 993 460 230 304 429 114 232 851 56 (D) 57 35 539 3 (D)

Daytona Beach, FL MSA 2 ----- 709 3 196 329 137 169 639 62 135 052 31 (D) 38 14 979 6 (D)

Decatur, AL MSA 789 ----------- 888 799 50 57 657 30 47 434 10 3 279 5 1 374 5 5 570 Decatur, IL MSA 705 ------------ 1 006 239 43 42 563 29 34 777 6 (D) 8 (D) – –

Denver–Boulder–Greeley, CO

CMSA 12 -------------------- 375 17 743 440 442 880 160 248 713 893 113 95 277 59 (D) 22 (D)

Boulder–Longmont, CO

PMSA 1 ------------------- 688 2 144 042 67 124 597 40 90 753 13 28 406 11 4 259 3 1 179

Denver, CO PMSA 10 -------- 048 14 829 779 347 719 626 193 595 005 93 63 802 46 36 193 15 24 626

Greeley, CO PMSA 639 -------- 769 619 28 35 937 15 28 135 7 3 069 2 (D) 4 (D)

Des Moines, IA MSA 2 -------- 673 3 732 790 111 256 450 51 214 913 32 19 360 25 (D) 3 (D)

Detroit–Ann Arbor–Flint, MI

CMSA 28 -------------------- 695 41 636 217 1 285 2 002 101 579 1 359 977 414 314 724 233 222 174 59 105 226

Ann Arbor, MI PMSA 2 ------ 773 4 215 384 156 223 802 73 169 076 45 31 265 30 18 326 8 5 135

Detroit, MI PMSA 23 --------- 387 33 875 819 987 1 559 322 441 1 046 447 329 259 437 180 183 773 37 69 665

Flint, MI PMSA 2 ------------ 535 3 545 014 142 218 977 65 144 454 40 24 022 23 20 075 14 30 426

Dothan, AL MSA 920 ------------ 1 004 306 51 83 777 28 60 789 7 3 253 6 1 619 10 18 116 Dover, DE MSA 796 ------------- 1 065 566 47 104 398 19 56 943 6 2 540 9 11 474 13 33 441 Dubuque, IA MSA 663 ----------- 699 716 34 51 838 17 34 891 9 (D) 6 8 087 2 (D)

Duluth–Superior, MN–WI

MSA 1 ---------------------- 822 1 870 481 104 109 541 59 77 393 34 21 825 9 (D) 2 (D)

Eau Claire, WI MSA 981 --------- 1 164 396 51 101 032 28 86 874 14 5 649 6 2 871 3 5 638

El Paso, TX MSA 3 ----------- 118 4 285 430 105 189 534 65 164 069 22 11 116 9 4 480 9 9 869

Elkhart–Goshen, IN MSA 969 ----- 1 243 240 72 110 777 32 68 532 19 15 387 11 7 258 10 19 600

Elmira, NY MSA 636 ------------- 660 979 28 35 330 16 31 091 3 (D) 8 (D) 1 (D)

Enid, OK MSA 400 -------------- 412 300 21 17 061 12 14 677 4 1 107 5 1 277 – –

Erie, PA MSA 1 --------------- 749 2 070 884 87 88 957 43 63 013 20 9 152 19 7 860 5 8 932

Eugene–Springfield, OR MSA 1 - 989 2 458 659 93 145 385 41 104 427 21 8 580 19 9 688 12 22 690

Evansville–Henderson, IN–KY

MSA 1 ---------------------- 841 2 303 715 93 131 190 47 91 988 19 19 802 22 12 543 5 6 857

Fargo–Moorhead, ND–MN

MSA 972 ---------------------- 1 414 643 65 113 626 40 97 748 14 8 572 8 4 622 3 2 684

Fayetteville, NC MSA 1 -------- 464 1 950 465 60 141 289 28 116 443 9 2 913 10 4 006 13 17 927

Fayetteville–Springdale–

Rogers, AR MSA 1 ----------- 423 1 810 871 87 130 383 49 107 090 15 10 131 16 5 037 7 8 125

Florence, AL MSA 876 ----------- 1 007 851 43 69 136 25 56 933 6 1 686 7 2 510 5 8 007 Florence, SC MSA 876 ---------- 1 023 269 64 95 619 31 59 567 13 7 385 5 1 483 15 27 184 Fort Collins–Loveland, CO

MSA 1 ---------------------- 289 1 617 604 54 126 463 42 114 956 7 4 883 2 (D) 3 (D)

Fort Myers–Cape Coral, FL

MSA 2 ---------------------- 494 3 393 129 127 213 905 69 166 178 27 16 587 20 10 133 11 21 007

Fort Pierce–Port St. Lucie, FL

MSA 1 ---------------------- 712 2 168 736 96 137 067 64 121 436 16 7 597 12 4 022 4 4 012

Fort Smith, AR–OK MSA 1 ----- 190 1 326 961 60 97 254 37 83 976 9 4 409 9 3 087 5 5 782

Fort Walton Beach, FL MSA 1 - 172 1 283 036 64 72 112 35 58 432 11 7 290 14 3 365 4 3 025

Fort Wayne, IN MSA 2 -------- 811 3 564 258 154 219 962 68 160 727 40 25 378 36 22 185 10 11 672

Fresno, CA MSA 4 ------------ 030 5 090 090 176 266 379 89 189 180 54 59 902 28 13 013 5 4 284

Gadsden, AL MSA 549 ---------- 611 987 24 37 227 15 33 346 3 1 426 5 (D) 1 (D)

Gainesville, FL MSA 1 --------- 203 1 525 129 50 83 024 21 68 740 20 6 868 7 (D) 2 (D)

Glens Falls, NY MSA 996 -------- 950 786 49 56 005 21 36 802 18 9 628 7 7 361 3 2 214

Goldsboro, NC MSA 623 --------- 664 841 40 72 583 17 50 641 5 2 794 5 1 629 13 17 519

Grand Forks, ND–MN MSA 685 --- 855 955 34 60 376 17 51 526 9 3 838 8 5 012 – –

Grand Rapids–Muskegon–

Holland, MI MSA 5 ----------- 165 7 325 349 307 478 330 142 324 844 89 58 684 48 45 815 28 48 987

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–49
TIPS [UPF] D_SIPES# 8D [UFCB,D_SIPES] UFCEN 3/ 7/ 95 10:25 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 3/ 1/ 95 07:48:00 TAPE: NOreel FRAME: 2

TSF:R_US_TIPS92.DAT;1 3/ 1/ 95 07:48:53 UTF:R_US_TIPS93.DAT;1 3/ 1/ 95 07:48:53 META:R_US_TIPS96.DAT;1 3/ 1/ 95 07:54:15

Table 5. Establishments and Sales for Metropolitan Areas: 1992mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

General merchandise stores

(SIC 53)

Total

Department stores

(incl. leased depts.)1 2

(SIC 531)

Department stores

(excl. leased depts.)1

(SIC 531)

Variety stores

(SIC 533)

Miscellaneous general

merchandise stores

(SIC 539)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Cincinnati–Hamilton,

OH–KY–IN CMSA 196 ---------- 1 813 505 80 r

1 535 988 80 (D) 71 (D) 45 (D)

Cincinnati, OH–KY–IN

PMSA 173 ------------------- 1 682 445 69 1 414 351 69 1 378 928 60 63 490 44 240 027

Hamilton–Middletown, OH

PMSA 23 ------------------- 131 060 11 r121 637 11 (D) 11 (D) 1 (D)

Clarksville–Hopkinsville,

TN–KY MSA 27 --------------- 153 700 11 140 201 11 138 206 14 (D) 2 (D)

Cleveland–Akron, OH CMSA 322 - 2 383 934 114 1 926 251 114 1 863 732 126 116 323 82 403 879 Akron, OH PMSA 63 --------- 484 842 25 420 994 25 406 161 29 30 717 9 47 964 Cleveland–Lorain–Elyria, OH

PMSA 259 ------------------- 1 899 092 89 1 505 257 89 1 457 571 97 85 606 73 355 915

Colorado Springs, CO MSA 42 -- 482 645 18 353 543 18 347 571 7 3 479 17 131 595

Columbia, MO MSA 13 --------- 194 281 9 (D) 9 (D) 3 1 273 1 (D)

Columbia, SC MSA 64 ---------- 482 325 27 396 621 27 388 239 27 15 104 10 78 982

Columbus, GA–AL MSA 41 ------ 302 860 12 219 092 12 214 932 16 (D) 13 (D)

Columbus, OH MSA 165 --------- 1 750 111 65 1 452 114 65 1 419 185 67 78 234 33 252 692

Corpus Christi, TX MSA 48 ------ 393 548 16 303 216 16 298 826 23 12 167 9 82 555

Cumberland, MD–WV MSA 21 --- 102 483 9 94 342 9 92 440 10 (D) 2 (D)

Dallas–Fort Worth, TX CMSA 504 - 4 883 096 176 3 882 929 176 3 813 221 193 88 506 135 981 369

Dallas, TX PMSA 331 ---------- 3 243 732 113 2 546 853 113 2 503 448 131 64 014 87 676 270

Fort Worth–Arlington, TX

PMSA 173 ------------------- 1 639 364 63 1 336 076 63 1 309 773 62 24 492 48 305 099

Danville, VA MSA 29 ----------- 103 754 7 94 275 7 93 049 15 9 546 7 1 159 Davenport–Moline–Rock

Island, IA–IL MSA 44 ---------- 426 946 23 356 812 23 349 838 11 5 810 10 71 298 Dayton–Springfield, OH MSA 116 - 1 365 136 57 1 237 807 57 1 207 136 45 46 663 14 111 337 Daytona Beach, FL MSA 53 ----- 438 497 20 341 080 20 335 150 17 11 692 16 91 655 Decatur, AL MSA 28 ----------- 117 959 8 r

105 782 8 (D) 11 (D) 9 (D)

Decatur, IL MSA 18 ------------ 163 149 8 (D) 8 (D) 7 4 208 3 (D)

Denver–Boulder–Greeley, CO

CMSA 180 -------------------- 2 199 934 91 r

1 755 884 91 (D) 31 (D) 58 (D)

Boulder–Longmont, CO

PMSA 22 ------------------- 225 922 13 201 730 13 199 476 2 (D) 7 (D)

Denver, CO PMSA 148 -------- 1 866 530 71 1 464 885 71 1 436 391 28 36 602 49 393 537

Greeley, CO PMSA 10 -------- 107 482 7 r89 269 7 (D) 1 (D) 2 (D)

Des Moines, IA MSA 63 -------- 550 594 32 467 578 32 456 431 12 6 271 19 87 892

Detroit–Ann Arbor–Flint, MI

CMSA 512 -------------------- 6 567 208 205 5 737 507 205 5 614 503 196 177 974 111 774 731

Ann Arbor, MI PMSA 54 ------ 705 712 23 637 383 23 630 337 18 12 038 13 63 337

Detroit, MI PMSA 403 --------- 5 166 888 164 4 551 823 164 4 443 400 155 145 443 84 578 045

Flint, MI PMSA 55 ------------ 694 608 18 548 301 18 540 766 23 20 493 14 133 349

Dothan, AL MSA 29 ------------ 202 573 10 155 360 10 152 234 14 (D) 5 (D)

Dover, DE MSA 25 ------------- 236 445 11 (D) 11 (D) 10 (D) 4 (D)

Dubuque, IA MSA 13 ----------- 107 777 7 100 862 7 99 087 3 (D) 3 (D)

Duluth–Superior, MN–WI

MSA 37 ---------------------- 320 841 19 267 487 19 263 906 4 (D) 14 (D)

Eau Claire, WI MSA 27 --------- 182 879 11 149 284 11 146 874 7 (D) 9 (D)

El Paso, TX MSA 89 ----------- 828 426 28 573 525 28 558 677 32 22 618 29 247 131

Elkhart–Goshen, IN MSA 26 ----- 182 578 9 142 371 9 139 795 12 (D) 5 (D)

Elmira, NY MSA 17 ------------- 113 328 9 107 252 9 105 464 7 (D) 1 (D)

Enid, OK MSA 15 -------------- 94 589 5 (D) 5 (D) 3 (D) 7 (D)

Erie, PA MSA 48 --------------- 297 432 16 224 074 16 215 637 23 20 692 9 61 103

Eugene–Springfield, OR MSA 39 - 393 997 13 237 948 13 232 380 11 5 249 15 156 368

Evansville–Henderson, IN–KY

MSA 43 ---------------------- 376 861 18 303 972 18 299 472 15 9 145 10 68 244

Fargo–Moorhead, ND–MN

MSA 22 ---------------------- 266 062 13 211 509 13 209 438 5 5 429 4 51 195

Fayetteville, NC MSA 44 -------- 320 706 16 240 257 16 237 014 18 14 959 10 68 733

Fayetteville–Springdale–

Rogers, AR MSA 27 ----------- 388 656 13 r324 157 13 (D) 6 (D) 8 (D)

Florence, AL MSA 30 ----------- 186 730 9 146 706 9 143 565 14 7 594 7 35 571 Florence, SC MSA 25 ---------- 134 862 8 119 938 8 118 431 10 6 565 7 9 866 Fort Collins–Loveland, CO

MSA 23 ---------------------- 277 652 10 155 027 10 153 855 3 (D) 10 (D)

Fort Myers–Cape Coral, FL

MSA 37 ---------------------- 434 341 15 336 107 15 327 217 14 (D) 8 (D)

Fort Pierce–Port St. Lucie, FL

MSA 26 ---------------------- 269 885 14 203 749 14 199 009 7 4 452 5 66 424

Fort Smith, AR–OK MSA 30 ----- 285 501 13 229 753 13 226 052 10 (D) 7 (D)

Fort Walton Beach, FL MSA 18 - 194 209 10 174 451 10 170 033 7 (D) 1 (D)

Fort Wayne, IN MSA 73 -------- 517 621 28 431 995 28 425 869 23 14 649 22 77 103

Fresno, CA MSA 76 ------------ 661 621 26 486 802 26 474 599 22 14 829 28 172 193

Gadsden, AL MSA 21 ---------- 100 989 7 r91 798 7 (D) 11 (D) 3 (D)

Gainesville, FL MSA 30 --------- 276 440 12 180 017 12 176 464 9 4 768 9 95 208

Glens Falls, NY MSA 18 -------- 83 650 7 76 967 7 75 509 3 1 811 8 6 330

Goldsboro, NC MSA 22 --------- 89 836 7 82 200 7 80 952 8 3 779 7 5 105

Grand Forks, ND–MN MSA 18 --- 159 122 6 127 059 6 125 648 5 (D) 7 (D)

Grand Rapids–Muskegon–

Holland, MI MSA 110 ----------- 1 437 489 43 1 259 603 43 1 247 977 34 20 625 33 168 887

See footnotes at end of table.

US–50nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 41

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Food stores

(SIC 54)

Total Grocery stores

(SIC 541)

Meat and fish (seafood)

markets

(SIC 542)

Retail bakeries

(SIC 546)

Other food stores

(SIC 543, 4, 5, 9)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Cincinnati–Hamilton,

OH–KY–IN CMSA 1 ---------- 317 2 783 819 918 2 630 007 82 44 459 173 53 058 144 56 295

Cincinnati, OH–KY–IN

PMSA 1 ------------------- 152 2 408 466 784 2 261 332 77 42 468 150 49 098 141 55 568

Hamilton–Middletown, OH

PMSA 165 ------------------- 375 353 134 368 675 5 1 991 23 3 960 3 727

Clarksville–Hopkinsville,

TN–KY MSA 106 --------------- 185 793 85 182 875 2 (D) 10 (D) 9 1 358

Cleveland–Akron, OH CMSA 2 - 108 4 019 315 1 417 3 794 280 127 60 636 292 66 794 272 97 605 Akron, OH PMSA 406 --------- 993 141 284 950 347 17 8 280 52 13 999 53 20 515 Cleveland–Lorain–Elyria, OH

PMSA 1 ------------------- 702 3 026 174 1 133 2 843 933 110 52 356 240 52 795 219 77 090

Colorado Springs, CO MSA 185 -- 545 658 124 529 127 2 (D) 28 8 695 31 (D)

Columbia, MO MSA 55 --------- 159 620 44 156 890 1 (D) 4 (D) 6 1 455

Columbia, SC MSA 304 ---------- 623 370 237 601 557 21 9 945 21 3 690 25 8 178

Columbus, GA–AL MSA 167 ------ 287 022 143 281 742 4 922 11 2 324 9 2 034

Columbus, OH MSA 825 --------- 1 882 587 592 1 800 523 22 19 527 99 27 787 112 34 750

Corpus Christi, TX MSA 281 ------ 617 724 235 602 625 14 5 041 24 3 777 8 6 281

Cumberland, MD–WV MSA 82 --- 154 408 64 148 579 4 1 375 5 1 194 9 3 260

Dallas–Fort Worth, TX CMSA 2 - 464 6 086 905 1 927 5 933 632 51 34 593 267 54 672 219 64 008

Dallas, TX PMSA 1 ---------- 590 4 057 679 1 236 3 955 527 35 24 476 174 36 377 145 41 299

Fort Worth–Arlington, TX

PMSA 874 ------------------- 2 029 226 691 1 978 105 16 10 117 93 18 295 74 22 709

Danville, VA MSA 108 ----------- 156 668 98 155 351 3 (D) 5 724 2 (D)

Davenport–Moline–Rock

Island, IA–IL MSA 214 ---------- 512 603 135 491 913 21 8 615 29 6 286 29 5 789 Dayton–Springfield, OH MSA 517 - 1 082 331 368 1 040 171 21 10 713 66 15 420 62 16 027 Daytona Beach, FL MSA 266 ----- 680 594 190 657 531 14 8 120 26 6 276 36 8 667 Decatur, AL MSA 109 ----------- 183 417 96 182 187 2 (D) 4 (D) 7 645

Decatur, IL MSA 49 ------------ 154 827 36 149 838 1 (D) 2 (D) 10 4 089

Denver–Boulder–Greeley, CO

CMSA 915 -------------------- 3 531 269 590 3 439 702 32 (D) 151 33 809 142 (D)

Boulder–Longmont, CO

PMSA 108 ------------------- 392 774 61 378 511 6 2 736 22 5 083 19 6 444

Denver, CO PMSA 750 -------- 2 980 960 487 2 906 321 24 12 918 120 26 966 119 34 755

Greeley, CO PMSA 57 -------- 157 535 42 154 870 2 (D) 9 1 760 4 (D)

Des Moines, IA MSA 230 -------- 727 566 175 711 784 8 4 826 16 3 121 31 7 835

Detroit–Ann Arbor–Flint, MI

CMSA 3 -------------------- 839 6 066 973 2 707 5 536 979 197 127 125 538 138 923 397 263 946

Ann Arbor, MI PMSA 308 ------ 509 994 219 482 511 19 8 436 41 8 841 29 10 206

Detroit, MI PMSA 3 --------- 186 5 064 929 2 222 4 582 374 165 114 143 456 121 991 343 246 421

Flint, MI PMSA 345 ------------ 492 050 266 472 094 13 4 546 41 8 091 25 7 319

Dothan, AL MSA 119 ------------ 176 841 103 174 051 3 (D) 8 1 309 5 (D)

Dover, DE MSA 86 ------------- 144 466 67 137 436 4 3 559 8 2 269 7 1 202 Dubuque, IA MSA 52 ----------- 135 970 37 133 018 2 (D) 4 (D) 9 1 773 Duluth–Superior, MN–WI

MSA 186 ---------------------- 341 423 138 324 408 3 3 337 21 4 881 24 8 797 Eau Claire, WI MSA 77 --------- 180 295 44 174 286 6 1 357 17 2 987 10 1 665

El Paso, TX MSA 298 ----------- 872 196 201 838 384 12 7 140 56 9 634 29 17 038

Elkhart–Goshen, IN MSA 76 ----- 220 345 49 208 816 6 3 418 12 2 816 9 5 295

Elmira, NY MSA 66 ------------- 115 542 41 106 958 4 2 053 7 2 185 14 4 346

Enid, OK MSA 45 -------------- 84 053 33 81 504 2 (D) 5 1 018 5 (D)

Erie, PA MSA 189 --------------- 439 374 137 422 972 11 7 067 23 5 361 18 3 974

Eugene–Springfield, OR MSA 249 - 451 304 191 433 623 11 3 156 25 5 762 22 8 763

Evansville–Henderson, IN–KY

MSA 155 ---------------------- 373 082 120 360 577 3 (D) 18 (D) 14 4 270

Fargo–Moorhead, ND–MN

MSA 83 ---------------------- 217 730 65 213 830 2 (D) 8 2 280 8 (D)

Fayetteville, NC MSA 154 -------- 322 350 127 314 501 6 2 384 6 1 677 15 3 788

Fayetteville–Springdale–

Rogers, AR MSA 132 ----------- 285 551 98 278 822 7 2 175 16 1 723 11 2 831

Florence, AL MSA 116 ----------- 191 918 103 188 598 5 1 997 4 (D) 4 (D)

Florence, SC MSA 116 ---------- 197 237 100 193 717 5 1 132 7 1 446 4 942 Fort Collins–Loveland, CO

MSA 73 ---------------------- 281 994 43 277 227 – – 16 2 669 14 2 098

Fort Myers–Cape Coral, FL

MSA 252 ---------------------- 625 710 186 609 090 8 2 830 20 4 046 38 9 744

Fort Pierce–Port St. Lucie, FL

MSA 199 ---------------------- 453 326 139 437 303 9 5 821 17 3 946 34 6 256

Fort Smith, AR–OK MSA 145 ----- 249 130 124 244 266 3 951 12 1 769 6 2 144

Fort Walton Beach, FL MSA 89 - 196 488 68 189 756 2 (D) 11 2 299 8 (D)

Fort Wayne, IN MSA 214 -------- 624 815 139 600 107 16 9 029 32 6 544 27 9 135

Fresno, CA MSA 629 ------------ 1 193 921 497 1 152 383 17 14 009 78 13 804 37 13 725

Gadsden, AL MSA 60 ---------- 144 949 41 141 889 2 (D) 9 (D) 8 1 375

Gainesville, FL MSA 133 --------- 303 883 106 294 903 4 1 776 11 2 019 12 5 185

Glens Falls, NY MSA 118 -------- 234 292 98 230 292 2 (D) 8 (D) 10 908

Goldsboro, NC MSA 74 --------- 120 271 59 111 315 8 6 594 3 (D) 4 (D)

Grand Forks, ND–MN MSA 62 --- 136 028 46 131 538 3 (D) 4 (D) 9 1 554

Grand Rapids–Muskegon–

Holland, MI MSA 584 ----------- 1 020 040 407 974 520 25 11 939 92 15 977 60 17 604

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–51
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 42

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Automotive dealers

(SIC 55 ex. 554)

Total New and used car dealers

(SIC 551)

Used car dealers

(SIC 552)

Auto and home supply stores

(SIC 553)

Miscellaneous automotive

dealers

(SIC 555, 6, 7, 9)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Cincinnati–Hamilton,

OH–KY–IN CMSA 583 ---------- 2 724 018 155 2 329 705 144 134 676 235 167 613 49 92 024

Cincinnati, OH–KY–IN

PMSA 479 ------------------- 2 401 417 135 2 076 799 109 107 806 195 139 943 40 76 869

Hamilton–Middletown, OH

PMSA 104 ------------------- 322 601 20 252 906 35 26 870 40 27 670 9 15 155

Clarksville–Hopkinsville,

TN–KY MSA 82 --------------- 292 221 21 238 386 28 23 646 25 21 567 8 8 622

Cleveland–Akron, OH CMSA 932 - 4 474 612 257 3 961 426 165 117 020 416 276 122 94 120 044 Akron, OH PMSA 244 --------- 1 076 099 62 932 448 41 32 007 115 76 943 26 34 701 Cleveland–Lorain–Elyria, OH

PMSA 688 ------------------- 3 398 513 195 3 028 978 124 85 013 301 199 179 68 85 343

Colorado Springs, CO MSA 164 -- 714 630 26 585 838 36 41 400 75 52 495 27 34 897

Columbia, MO MSA 41 --------- 243 748 15 217 025 8 7 315 12 7 063 6 12 345

Columbia, SC MSA 193 ---------- 807 746 37 675 069 38 25 211 94 64 872 24 42 594

Columbus, GA–AL MSA 118 ------ 413 778 20 330 469 28 32 749 60 41 003 10 9 557

Columbus, OH MSA 442 --------- 2 556 744 117 2 191 286 100 109 115 184 159 936 41 96 407

Corpus Christi, TX MSA 156 ------ 560 889 31 461 022 37 28 844 64 44 685 24 26 338

Cumberland, MD–WV MSA 55 --- 101 937 13 76 464 13 9 777 23 11 998 6 3 698

Dallas–Fort Worth, TX CMSA 1 - 613 8 605 742 247 7 346 712 390 345 718 815 635 228 161 278 084

Dallas, TX PMSA 1 ---------- 020 5 854 712 171 5 073 763 240 216 222 512 394 805 97 169 922

Fort Worth–Arlington, TX

PMSA 593 ------------------- 2 751 030 76 2 272 949 150 129 496 303 240 423 64 108 162

Danville, VA MSA 57 ----------- 144 916 15 119 070 18 10 709 20 12 964 4 2 173 Davenport–Moline–Rock

Island, IA–IL MSA 138 ---------- 646 090 45 560 392 33 18 016 37 27 188 23 40 494 Dayton–Springfield, OH MSA 322 - 1 520 176 85 1 297 423 53 51 162 148 107 988 36 63 603 Daytona Beach, FL MSA 201 ----- 703 867 37 570 251 57 59 588 79 40 961 28 33 067 Decatur, AL MSA 60 ----------- 217 969 15 184 899 9 7 495 30 16 968 6 8 607 Decatur, IL MSA 55 ------------ 278 050 16 231 116 13 17 546 18 20 876 8 8 512

Denver–Boulder–Greeley, CO

CMSA 705 -------------------- 4 097 570 138 3 513 944 148 (D) 332 255 294 87 (D)

Boulder–Longmont, CO

PMSA 103 ------------------- 481 761 25 417 199 21 17 259 44 34 174 13 13 129

Denver, CO PMSA 546 -------- 3 400 317 98 2 943 676 112 120 492 271 210 385 65 125 764

Greeley, CO PMSA 56 -------- 215 492 15 153 069 15 (D) 17 10 735 9 (D)

Des Moines, IA MSA 150 -------- 791 113 35 698 804 32 27 170 60 39 973 23 25 166

Detroit–Ann Arbor–Flint, MI

CMSA 1 -------------------- 507 10 206 077 380 8 999 568 213 191 606 721 585 875 193 429 028

Ann Arbor, MI PMSA 162 ------ 1 220 797 58 1 090 044 18 11 025 65 57 505 21 62 223

Detroit, MI PMSA 1 --------- 192 8 179 238 289 7 212 963 171 164 018 585 469 958 147 332 299

Flint, MI PMSA 153 ------------ 806 042 33 696 561 24 16 563 71 58 412 25 34 506

Dothan, AL MSA 84 ------------ 200 598 12 155 304 18 16 680 41 18 744 13 9 870 Dover, DE MSA 58 ------------- 214 501 17 174 999 18 15 462 15 12 395 8 11 645 Dubuque, IA MSA 42 ----------- 135 364 17 111 963 6 4 502 12 11 362 7 7 537 Duluth–Superior, MN–WI

MSA 96 ---------------------- 340 134 33 282 119 9 10 947 35 19 644 19 27 424 Eau Claire, WI MSA 62 --------- 232 746 16 163 949 16 10 038 20 30 858 10 27 901

El Paso, TX MSA 221 ----------- 737 490 26 570 355 74 61 386 107 95 941 14 9 808

Elkhart–Goshen, IN MSA 98 ----- 332 433 18 224 270 33 31 438 26 24 498 21 52 227

Elmira, NY MSA 38 ------------- 110 388 7 91 444 12 (D) 17 9 880 2 (D)

Enid, OK MSA 29 -------------- 82 482 9 68 619 2 (D) 16 10 101 2 (D)

Erie, PA MSA 110 --------------- 453 225 39 399 589 25 21 503 34 20 226 12 11 907

Eugene–Springfield, OR MSA 132 - 626 525 26 415 944 18 12 646 58 47 726 30 150 209

Evansville–Henderson, IN–KY

MSA 146 ---------------------- 505 033 28 420 123 47 32 922 51 36 395 20 15 593

Fargo–Moorhead, ND–MN

MSA 53 ---------------------- 284 587 17 247 746 11 8 702 20 13 761 5 14 378

Fayetteville, NC MSA 143 -------- 447 626 20 347 362 45 31 542 67 51 856 11 16 866

Fayetteville–Springdale–

Rogers, AR MSA 139 ----------- 459 735 31 392 819 46 27 814 45 19 319 17 19 783

Florence, AL MSA 84 ----------- 239 051 14 198 419 22 15 026 38 19 330 10 6 276 Florence, SC MSA 81 ---------- 225 388 17 180 836 23 16 708 33 16 103 8 11 741 Fort Collins–Loveland, CO

MSA 77 ---------------------- 323 186 14 272 831 15 8 546 30 19 659 18 22 150

Fort Myers–Cape Coral, FL

MSA 154 ---------------------- 803 850 22 601 730 33 75 068 51 34 279 48 92 773

Fort Pierce–Port St. Lucie, FL

MSA 132 ---------------------- 536 992 20 432 010 20 27 177 49 30 939 43 46 866

Fort Smith, AR–OK MSA 118 ----- 265 042 19 206 393 31 25 499 53 21 760 15 11 390

Fort Walton Beach, FL MSA 81 - 328 888 14 276 357 16 11 623 39 18 883 12 22 025

Fort Wayne, IN MSA 198 -------- 825 433 50 700 895 59 45 313 67 58 603 22 20 622

Fresno, CA MSA 296 ------------ 1 018 805 61 810 907 42 29 849 167 116 988 26 61 061

Gadsden, AL MSA 49 ---------- 103 278 5 67 320 12 11 045 27 16 181 5 8 732

Gainesville, FL MSA 68 --------- 305 500 17 259 346 16 16 204 29 22 947 6 7 003

Glens Falls, NY MSA 57 -------- 205 279 19 159 227 7 10 845 20 19 723 11 15 484

Goldsboro, NC MSA 69 --------- 143 220 16 97 703 26 28 413 24 (D) 3 (D)

Grand Forks, ND–MN MSA 41 --- 195 368 15 168 558 8 6 618 10 10 841 8 9 351

Grand Rapids–Muskegon–

Holland, MI MSA 382 ----------- 1 687 544 97 1 368 771 89 65 862 128 97 137 68 155 774

See footnotes at end of table.

US–52nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 43

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Gasoline service stations

(SIC 554)

Apparel and accessory stores

(SIC 56)

Total

Men’s and boys’ clothing and

accessory stores

(SIC 561)

Women’s clothing and specialty stores

(SIC 562, 3)

Total Women’s clothing stores

(SIC 562)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Cincinnati–Hamilton,

OH–KY–IN CMSA 705 ---------- 1 083 290 986 614 454 111 64 845 397 253 071 316 225 563

Cincinnati, OH–KY–IN

PMSA 596 ------------------- 938 909 921 590 969 105 62 823 371 244 793 294 217 376

Hamilton–Middletown, OH

PMSA 109 ------------------- 144 381 65 23 485 6 2 022 26 8 278 22 8 187

Clarksville–Hopkinsville,

TN–KY MSA 72 --------------- 88 236 80 56 938 6 2 187 39 18 954 34 17 743

Cleveland–Akron, OH CMSA 1 - 164 1 533 953 1 580 1 031 928 190 114 859 652 421 465 547 377 621 Akron, OH PMSA 290 --------- 371 253 336 210 856 41 22 558 130 75 661 112 69 062 Cleveland–Lorain–Elyria, OH

PMSA 874 ------------------- 1 162 700 1 244 821 072 149 92 301 522 345 804 435 308 559

Colorado Springs, CO MSA 148 -- 200 711 188 113 404 14 8 652 81 37 416 70 35 563

Columbia, MO MSA 63 --------- 72 109 89 46 812 9 4 106 40 23 897 33 22 447

Columbia, SC MSA 215 ---------- 309 940 309 197 289 26 18 330 148 89 484 124 82 997

Columbus, GA–AL MSA 99 ------ 113 491 130 103 931 15 11 479 62 40 831 58 (D)

Columbus, OH MSA 531 --------- 851 494 674 507 181 70 58 935 286 209 338 215 175 323

Corpus Christi, TX MSA 143 ------ 165 934 197 124 042 16 8 263 73 35 550 63 (D)

Cumberland, MD–WV MSA 64 --- 54 966 51 32 709 4 (D) 21 9 915 19 (D)

Dallas–Fort Worth, TX CMSA 1 - 618 2 360 495 2 407 1 800 427 262 165 587 989 666 379 836 588 634

Dallas, TX PMSA 1 ---------- 067 1 595 733 1 682 1 331 158 193 129 729 685 500 131 582 445 910

Fort Worth–Arlington, TX

PMSA 551 ------------------- 764 762 725 469 269 69 35 858 304 166 248 254 142 724

Danville, VA MSA 56 ----------- 51 703 53 23 527 7 2 977 21 10 208 20 (D)

Davenport–Moline–Rock

Island, IA–IL MSA 181 ---------- 237 849 209 123 321 26 17 419 91 40 130 80 37 774 Dayton–Springfield, OH MSA 373 - 532 656 458 267 104 46 27 919 197 111 314 162 100 334 Daytona Beach, FL MSA 210 ----- 227 132 252 134 904 19 6 541 101 31 716 87 28 979 Decatur, AL MSA 70 ----------- 64 473 58 43 960 4 (D) 20 7 046 18 (D)

Decatur, IL MSA 40 ------------ 68 110 74 48 734 15 9 409 27 12 444 24 (D)

Denver–Boulder–Greeley, CO

CMSA 739 -------------------- 1 170 280 1 106 742 167 118 84 353 399 284 625 323 (D)

Boulder–Longmont, CO

PMSA 80 ------------------- 142 829 152 83 259 14 7 902 52 29 125 43 26 171

Denver, CO PMSA 603 -------- 956 353 915 643 392 101 75 096 333 248 592 268 219 018

Greeley, CO PMSA 56 -------- 71 098 39 15 516 3 1 355 14 6 908 12 (D)

Des Moines, IA MSA 200 -------- 281 446 276 163 422 35 26 687 128 61 814 110 56 383

Detroit–Ann Arbor–Flint, MI

CMSA 2 -------------------- 032 2 881 237 2 878 2 261 662 356 262 541 1 203 974 253 1 005 884 318

Ann Arbor, MI PMSA 182 ------ 293 873 221 155 798 26 11 800 86 59 263 73 54 104

Detroit, MI PMSA 1 --------- 646 2 298 961 2 401 1 942 014 304 237 290 1 012 851 851 846 773 725

Flint, MI PMSA 204 ------------ 288 403 256 163 850 26 13 451 105 63 139 86 56 489

Dothan, AL MSA 70 ------------ 56 414 76 48 709 8 2 684 31 14 885 28 14 282 Dover, DE MSA 52 ------------- 74 824 70 34 048 11 (D) 23 13 492 20 (D)

Dubuque, IA MSA 55 ----------- 45 157 57 25 650 5 1 915 31 13 121 24 11 776 Duluth–Superior, MN–WI

MSA 158 ---------------------- 159 818 150 74 489 17 6 730 68 33 382 63 32 226 Eau Claire, WI MSA 91 --------- 132 934 93 55 622 11 (D) 45 20 491 40 (D)

El Paso, TX MSA 203 ----------- 348 240 426 289 802 39 41 203 195 104 708 160 95 373

Elkhart–Goshen, IN MSA 72 ----- 95 291 71 27 085 7 2 624 30 11 020 25 9 928

Elmira, NY MSA 38 ------------- 50 876 61 34 711 6 2 800 23 12 986 20 (D)

Enid, OK MSA 37 -------------- 26 633 38 17 442 2 (D) 18 5 759 17 (D)

Erie, PA MSA 133 --------------- 152 307 155 95 131 16 10 093 65 34 939 58 32 585

Eugene–Springfield, OR MSA 97 - 134 623 138 97 033 11 4 474 60 29 462 50 25 691

Evansville–Henderson, IN–KY

MSA 134 ---------------------- 173 520 171 115 276 23 16 987 74 48 209 67 46 893

Fargo–Moorhead, ND–MN

MSA 84 ---------------------- 115 042 89 52 515 13 8 858 43 24 376 38 21 938

Fayetteville, NC MSA 128 -------- 149 180 125 86 984 15 9 900 52 30 648 45 28 708

Fayetteville–Springdale–

Rogers, AR MSA 118 ----------- 117 870 128 56 947 11 2 457 48 19 289 42 18 056

Florence, AL MSA 66 ----------- 54 908 77 52 138 5 1 831 28 10 540 27 (D)

Florence, SC MSA 73 ---------- 101 327 103 54 372 11 4 107 47 28 307 41 26 565 Fort Collins–Loveland, CO

MSA 82 ---------------------- 115 030 123 62 472 6 4 946 52 21 054 43 18 411

Fort Myers–Cape Coral, FL

MSA 131 ---------------------- 233 786 304 168 318 19 6 597 151 57 381 132 50 582

Fort Pierce–Port St. Lucie, FL

MSA 98 ---------------------- 138 241 184 100 987 20 8 080 78 30 207 69 27 745

Fort Smith, AR–OK MSA 97 ----- 99 679 98 42 457 9 3 033 42 19 553 33 18 390

Fort Walton Beach, FL MSA 88 - 94 753 129 55 908 7 4 725 60 24 232 55 22 831

Fort Wayne, IN MSA 224 -------- 247 662 253 132 849 22 13 050 115 53 766 99 48 855

Fresno, CA MSA 252 ------------ 342 985 345 203 232 32 19 084 124 60 979 113 58 434

Gadsden, AL MSA 57 ---------- 41 623 47 33 818 1 (D) 22 6 565 18 5 988

Gainesville, FL MSA 78 --------- 97 856 107 59 906 10 4 286 44 22 154 37 18 945

Glens Falls, NY MSA 53 -------- 57 033 88 59 747 11 7 213 27 14 835 23 13 045

Goldsboro, NC MSA 59 --------- 48 385 68 40 487 5 2 324 29 11 604 27 (D)

Grand Forks, ND–MN MSA 57 --- 73 923 71 35 108 10 6 417 36 16 465 31 15 425

Grand Rapids–Muskegon–

Holland, MI MSA 354 ----------- 496 097 445 344 427 36 24 464 184 132 589 157 123 983

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–53
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 44

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Apparel and accessory stores

(SIC 56)mCon.

Women’s clothing and specialty stores (SIC 562, 3)mCon.

Women’s accessory and specialty stores

(SIC 563)

Family clothing stores

(SIC 565)

Shoe stores

(SIC 566)

Other apparel and accessory stores (SIC 564, 9)

Furniture and homefurnishings

stores (SIC 57)

Total

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Cincinnati–Hamilton,

OH–KY–IN CMSA 81 ---------- 27 508 86 135 055 291 127 401 101 34 082 724 611 911

Cincinnati, OH–KY–IN

PMSA 77 ------------------- 27 417 82 131 849 270 119 128 93 32 376 646 559 896

Hamilton–Middletown, OH

PMSA 4 ------------------- 91 4 3 206 21 8 273 8 1 706 78 52 015

Clarksville–Hopkinsville,

TN–KY MSA 5 --------------- 1 211 7 24 035 23 9 895 5 1 867 67 47 902

Cleveland–Akron, OH CMSA 105 - 43 844 149 238 055 468 203 686 121 53 863 1 211 1 015 702 Akron, OH PMSA 18 --------- 6 599 38 54 587 103 46 427 24 11 623 256 200 656 Cleveland–Lorain–Elyria, OH

PMSA 87 ------------------- 37 245 111 183 468 365 157 259 97 42 240 955 815 046

Colorado Springs, CO MSA 11 -- 1 853 23 38 555 55 25 608 15 3 173 172 181 366

Columbia, MO MSA 7 --------- 1 450 9 6 061 20 9 058 11 3 690 69 47 172

Columbia, SC MSA 24 ---------- 6 487 31 51 592 83 32 108 21 5 775 265 197 602

Columbus, GA–AL MSA 4 ------ (D) 11 32 545 36 13 801 6 5 275 132 101 489

Columbus, OH MSA 71 --------- 34 015 65 115 319 179 84 123 74 39 466 532 524 910

Corpus Christi, TX MSA 10 ------ (D) 33 52 980 47 19 343 28 7 906 125 95 712

Cumberland, MD–WV MSA 2 --- (D) 4 (D) 21 6 619 1 (D) 61 26 818

Dallas–Fort Worth, TX CMSA 153 - 77 745 305 525 515 618 338 451 233 104 495 1 646 1 842 464

Dallas, TX PMSA 103 ---------- 54 221 200 389 027 432 230 553 172 81 718 1 118 1 296 938

Fort Worth–Arlington, TX

PMSA 50 ------------------- 23 524 105 136 488 186 107 898 61 22 777 528 545 526

Danville, VA MSA 1 ----------- (D) 3 (D) 20 6 030 2 (D) 41 22 550 Davenport–Moline–Rock

Island, IA–IL MSA 11 ---------- 2 356 21 36 727 55 26 449 16 2 596 164 146 470 Dayton–Springfield, OH MSA 35 - 10 980 30 48 550 149 68 472 36 10 849 363 342 345 Daytona Beach, FL MSA 14 ----- 2 737 42 63 683 57 24 089 33 8 875 203 130 494 Decatur, AL MSA 2 ----------- (D) 10 (D) 18 (D) 6 (D) 65 32 698 Decatur, IL MSA 3 ------------ (D) 4 (D) 25 (D) 3 (D) 51 34 006

Denver–Boulder–Greeley, CO

CMSA 76 -------------------- (D) 131 (D) 354 145 590 104 (D) 1 062 1 082 861

Boulder–Longmont, CO

PMSA 9 ------------------- 2 954 19 21 690 52 17 869 15 6 673 161 114 598

Denver, CO PMSA 65 -------- 29 574 110 169 610 285 122 247 86 27 847 857 937 784

Greeley, CO PMSA 2 -------- (D) 2 (D) 17 5 474 3 (D) 44 30 479

Des Moines, IA MSA 18 -------- 5 431 21 32 092 68 32 565 24 10 264 178 189 692

Detroit–Ann Arbor–Flint, MI

CMSA 198 -------------------- 89 935 286 477 160 796 424 486 237 123 222 1 878 2 125 357

Ann Arbor, MI PMSA 13 ------ 5 159 25 44 144 57 28 832 27 11 759 190 177 004

Detroit, MI PMSA 166 --------- 78 126 231 385 746 666 364 191 188 102 936 1 552 1 788 338

Flint, MI PMSA 19 ------------ 6 650 30 47 270 73 31 463 22 8 527 136 160 015

Dothan, AL MSA 3 ------------ 603 11 20 809 22 (D) 4 (D) 76 43 782 Dover, DE MSA 3 ------------- (D) 9 8 465 21 8 084 6 (D) 53 36 658 Dubuque, IA MSA 7 ----------- 1 345 4 2 965 14 7 237 3 412 53 34 710 Duluth–Superior, MN–WI

MSA 5 ---------------------- 1 156 19 18 670 36 13 456 10 2 251 102 81 858 Eau Claire, WI MSA 5 --------- (D) 12 21 077 22 10 501 3 (D) 76 59 783

El Paso, TX MSA 35 ----------- 9 335 50 66 374 109 66 903 33 10 614 203 235 681

Elkhart–Goshen, IN MSA 5 ----- 1 092 5 4 269 21 8 164 8 1 008 71 33 942

Elmira, NY MSA 3 ------------- (D) 8 7 061 19 10 407 5 1 457 42 22 803

Enid, OK MSA 1 -------------- (D) 6 7 507 11 3 281 1 (D) 28 14 109

Erie, PA MSA 7 --------------- 2 354 18 23 734 44 20 097 12 6 268 127 91 273

Eugene–Springfield, OR MSA 10 - 3 771 21 45 126 35 14 392 11 3 579 151 104 607

Evansville–Henderson, IN–KY

MSA 7 ---------------------- 1 316 15 16 002 43 28 288 16 5 790 139 122 640

Fargo–Moorhead, ND–MN

MSA 5 ---------------------- 2 438 5 8 909 25 9 599 3 773 62 64 836

Fayetteville, NC MSA 7 -------- 1 940 11 20 798 36 18 641 11 6 997 113 105 375

Fayetteville–Springdale–

Rogers, AR MSA 6 ----------- 1 233 26 20 935 32 12 853 11 1 413 104 70 746

Florence, AL MSA 1 ----------- (D) 9 30 115 26 6 146 9 3 506 64 36 451 Florence, SC MSA 6 ---------- 1 742 14 9 123 27 12 047 4 788 68 45 038 Fort Collins–Loveland, CO

MSA 9 ---------------------- 2 643 23 19 965 26 11 359 16 5 148 102 84 454

Fort Myers–Cape Coral, FL

MSA 19 ---------------------- 6 799 46 60 548 48 24 039 40 19 753 247 210 644

Fort Pierce–Port St. Lucie, FL

MSA 9 ---------------------- 2 462 23 37 908 39 16 893 24 7 899 181 105 151

Fort Smith, AR–OK MSA 9 ----- 1 163 13 9 875 24 8 023 10 1 973 67 43 371

Fort Walton Beach, FL MSA 5 - 1 401 11 8 867 28 9 932 23 8 152 107 61 226

Fort Wayne, IN MSA 16 -------- 4 911 20 30 120 67 26 399 29 9 514 215 169 795

Fresno, CA MSA 11 ------------ 2 545 51 60 318 104 46 755 34 16 096 294 262 395

Gadsden, AL MSA 4 ---------- 577 7 22 125 16 (D) 1 (D) 46 34 289

Gainesville, FL MSA 7 --------- 3 209 9 12 826 35 15 530 9 5 110 101 61 237

Glens Falls, NY MSA 4 -------- 1 790 20 20 209 23 13 252 7 4 238 57 33 013

Goldsboro, NC MSA 2 --------- (D) 6 14 013 21 11 583 7 963 55 30 705

Grand Forks, ND–MN MSA 5 --- 1 040 6 3 699 14 7 845 5 682 50 32 503

Grand Rapids–Muskegon–

Holland, MI MSA 27 ----------- 8 606 69 113 730 116 59 499 40 14 145 414 404 387

See footnotes at end of table.

US–54nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 45

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Furniture and homefurnishings stores

(SIC 57)mCon.

Furniture stores (SIC 5712)Homefurnishings stores

(SIC 5713, 4, 9)

Household appliance stores

(SIC 572)

Radio, television,

computer, and music stores

(SIC 573)

Eating and drinking places

(SIC 58)

Total Eating places

(SIC 5812)

Total

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Cincinnati–Hamilton,

OH–KY–IN CMSA 181 ---------- 202 745 266 146 469 36 38 496 241 224 201 3 236 1 650 317 2 627 1 542 305

Cincinnati, OH–KY–IN

PMSA 162 ------------------- 180 580 235 134 452 32 36 806 217 208 058 2 811 1 459 915 2 283 1 363 223

Hamilton–Middletown, OH

PMSA 19 ------------------- 22 165 31 12 017 4 1 690 24 16 143 425 190 402 344 179 082

Clarksville–Hopkinsville,

TN–KY MSA 26 --------------- 21 307 14 9 909 8 4 474 19 12 212 254 118 320 228 113 393

Cleveland–Akron, OH CMSA 377 - 356 630 376 218 234 90 67 515 368 373 323 5 311 2 256 124 4 196 2 091 168 Akron, OH PMSA 74 --------- 66 414 85 48 197 25 20 077 72 65 968 1 185 535 540 939 502 261 Cleveland–Lorain–Elyria, OH

PMSA 303 ------------------- 290 216 291 170 037 65 47 438 296 307 355 4 126 1 720 584 3 257 1 588 907

Colorado Springs, CO MSA 41 -- 55 791 48 36 816 10 5 356 73 83 403 696 327 595 588 303 457

Columbia, MO MSA 23 --------- 13 994 15 9 177 4 4 354 27 19 647 197 104 937 176 99 157

Columbia, SC MSA 72 ---------- 67 456 87 45 763 27 16 637 79 67 746 801 390 807 747 379 346

Columbus, GA–AL MSA 49 ------ 45 584 38 16 700 8 4 662 37 34 543 385 192 023 341 184 801

Columbus, OH MSA 156 --------- 183 721 154 93 372 41 21 225 181 226 592 2 489 1 295 074 2 086 1 220 634

Corpus Christi, TX MSA 43 ------ 34 416 31 16 588 10 9 413 41 35 295 646 290 285 559 271 091

Cumberland, MD–WV MSA 21 --- 11 030 11 2 717 9 5 875 20 7 196 203 70 989 174 67 362

Dallas–Fort Worth, TX CMSA 426 - 518 942 463 347 074 120 64 739 637 911 709 6 675 3 884 348 6 149 3 665 184

Dallas, TX PMSA 287 ---------- 378 821 313 236 741 82 40 925 436 640 451 4 617 2 626 641 4 266 2 475 568

Fort Worth–Arlington, TX

PMSA 139 ------------------- 140 121 150 110 333 38 23 814 201 271 258 2 058 1 257 707 1 883 1 189 616

Danville, VA MSA 17 ----------- 13 468 8 (D) 2 (D) 14 5 987 152 61 397 151 (D)

Davenport–Moline–Rock

Island, IA–IL MSA 44 ---------- 44 343 45 31 989 21 13 641 54 56 497 734 313 399 545 280 670 Dayton–Springfield, OH MSA 95 - 168 201 115 63 360 34 16 052 119 94 732 1 635 778 357 1 351 732 865 Daytona Beach, FL MSA 76 ----- 50 078 56 25 986 19 12 478 52 41 952 765 364 554 664 341 154 Decatur, AL MSA 26 ----------- 13 573 18 6 857 6 2 938 15 9 330 172 77 256 163 74 974 Decatur, IL MSA 12 ------------ 7 649 11 6 071 9 5 637 19 14 649 213 95 528 172 86 763

Denver–Boulder–Greeley, CO

CMSA 254 -------------------- 291 118 332 219 294 77 47 475 399 524 974 3 813 1 879 762 3 322 1 751 781

Boulder–Longmont, CO

PMSA 32 ------------------- 18 685 50 28 887 10 7 264 69 59 762 502 242 659 466 232 351

Denver, CO PMSA 213 -------- 266 477 268 182 118 63 37 973 313 451 216 3 105 1 563 611 2 682 1 451 783

Greeley, CO PMSA 9 -------- 5 956 14 8 289 4 2 238 17 13 996 206 73 492 174 67 647

Des Moines, IA MSA 49 -------- 71 907 47 31 594 15 9 726 67 76 465 851 353 131 691 325 573

Detroit–Ann Arbor–Flint, MI

CMSA 466 -------------------- 641 612 640 497 791 112 112 627 660 873 327 8 335 4 162 131 7 120 3 900 208

Ann Arbor, MI PMSA 40 ------ 43 956 66 45 753 13 20 647 71 66 648 816 422 160 742 402 339

Detroit, MI PMSA 395 --------- 543 757 534 412 771 93 85 737 530 746 073 6 807 3 415 418 5 810 3 204 635

Flint, MI PMSA 31 ------------ 53 899 40 39 267 6 6 243 59 60 606 712 324 553 568 293 234

Dothan, AL MSA 25 ------------ 14 589 19 8 910 11 6 634 21 13 649 209 94 766 181 90 528 Dover, DE MSA 16 ------------- 15 394 12 5 649 5 2 248 20 13 367 195 92 291 177 87 742 Dubuque, IA MSA 17 ----------- 14 965 12 7 288 8 2 872 16 9 585 193 68 209 152 63 403 Duluth–Superior, MN–WI

MSA 34 ---------------------- 29 276 24 9 538 16 11 270 28 31 774 555 175 197 399 148 566 Eau Claire, WI MSA 22 --------- 14 997 22 10 292 12 6 677 20 27 817 324 108 724 222 90 777

El Paso, TX MSA 54 ----------- 78 846 45 22 469 16 19 606 88 114 760 938 411 848 752 378 489

Elkhart–Goshen, IN MSA 24 ----- 18 158 14 4 737 9 3 726 24 7 321 291 131 495 261 125 339

Elmira, NY MSA 10 ------------- 4 084 12 4 905 5 4 554 15 9 260 190 64 022 146 58 129

Enid, OK MSA 5 -------------- 3 289 5 2 051 7 4 124 11 4 645 103 38 359 94 37 235

Erie, PA MSA 32 --------------- 32 594 33 17 728 15 6 530 47 34 421 520 196 195 391 173 976

Eugene–Springfield, OR MSA 39 - 39 337 40 23 741 13 10 429 59 31 100 601 231 170 538 216 474

Evansville–Henderson, IN–KY

MSA 41 ---------------------- 37 761 45 24 737 10 10 794 43 49 348 533 237 999 454 226 262

Fargo–Moorhead, ND–MN

MSA 21 ---------------------- 19 304 14 11 157 6 8 111 21 26 264 268 134 325 219 116 383

Fayetteville, NC MSA 44 -------- 46 226 29 (D) 3 (D) 37 40 209 416 201 190 361 192 268

Fayetteville–Springdale–

Rogers, AR MSA 34 ----------- 27 442 28 17 986 19 11 972 23 13 346 356 153 338 341 150 283

Florence, AL MSA 16 ----------- 9 608 16 7 226 10 7 965 22 11 652 208 89 773 198 87 542 Florence, SC MSA 29 ---------- 23 265 21 9 614 6 3 159 12 9 000 162 75 088 156 74 583 Fort Collins–Loveland, CO

MSA 26 ---------------------- 27 444 36 21 275 8 4 518 32 31 217 366 160 038 326 149 396

Fort Myers–Cape Coral, FL

MSA 84 ---------------------- 99 756 74 35 755 25 13 762 64 61 371 637 335 913 583 320 944

Fort Pierce–Port St. Lucie, FL

MSA 64 ---------------------- 42 283 62 25 850 17 15 642 38 21 376 419 190 200 390 181 719

Fort Smith, AR–OK MSA 26 ----- 15 678 13 12 478 6 3 573 22 11 642 310 124 467 291 122 690

Fort Walton Beach, FL MSA 36 - 23 466 28 12 431 10 5 956 33 19 373 320 149 629 284 138 538

Fort Wayne, IN MSA 57 -------- 51 996 62 35 263 26 15 961 70 66 575 840 389 808 704 361 760

Fresno, CA MSA 91 ------------ 77 846 87 61 239 20 9 768 96 113 542 1 158 516 715 1 042 494 579

Gadsden, AL MSA 17 ---------- 14 242 10 (D) 2 (D) 17 10 729 129 60 192 120 59 113

Gainesville, FL MSA 29 --------- 15 447 20 8 890 12 6 048 40 30 852 348 176 229 318 170 209

Glens Falls, NY MSA 15 -------- 7 117 20 13 257 5 3 596 17 9 043 346 95 680 293 88 978

Goldsboro, NC MSA 20 --------- 15 607 10 5 153 9 3 366 16 6 579 124 54 003 119 53 047

Grand Forks, ND–MN MSA 14 --- 8 047 14 6 629 6 1 914 16 15 913 188 80 717 147 69 720

Grand Rapids–Muskegon–

Holland, MI MSA 107 ----------- 136 046 135 100 803 38 50 447 134 117 091 1 417 639 591 1 226 598 713

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–55
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 46

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Eating and drinking places

(SIC 58)mCon.

Eating places

(SIC 5812)mCon.

Restaurants

(SIC 5812 pt.)

Cafeterias

(SIC 5812 pt.)

Refreshment places

(SIC 5812 pt.)

Other eating places

(SIC 5812 pt.)

Drinking places

(SIC 5813)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Cincinnati–Hamilton,

OH–KY–IN CMSA 1 ---------- 061 678 123 17 12 998 1 308 689 918 241 161 266 609 108 012

Cincinnati, OH–KY–IN

PMSA 943 ------------------- 611 938 17 12 998 1 105 582 958 218 155 329 528 96 692

Hamilton–Middletown, OH

PMSA 118 ------------------- 66 185 – – 203 106 960 23 5 937 81 11 320

Clarksville–Hopkinsville,

TN–KY MSA 88 --------------- 41 575 2 (D) 119 63 955 19 (D) 26 4 927

Cleveland–Akron, OH CMSA 1 - 670 932 526 44 (D) 1 939 916 770 543 (D) 1 115 164 956 Akron, OH PMSA 381 --------- 239 738 5 (D) 455 223 585 98 (D) 246 33 279 Cleveland–Lorain–Elyria, OH

PMSA 1 ------------------- 289 692 788 39 14 463 1 484 693 185 445 188 471 869 131 677

Colorado Springs, CO MSA 263 -- 153 027 12 9 959 250 121 277 63 19 194 108 24 138

Columbia, MO MSA 69 --------- 39 338 1 (D) 91 50 546 15 (D) 21 5 780

Columbia, SC MSA 297 ---------- 146 571 10 11 458 371 189 093 69 32 224 54 11 461

Columbus, GA–AL MSA 138 ------ 60 098 3 (D) 177 102 301 23 (D) 44 7 222

Columbus, OH MSA 771 --------- 521 944 32 19 799 1 077 596 400 206 82 491 403 74 440

Corpus Christi, TX MSA 199 ------ 103 140 13 14 731 313 144 654 34 8 566 87 19 194

Cumberland, MD–WV MSA 67 --- 20 583 – – 92 41 023 15 5 756 29 3 627

Dallas–Fort Worth, TX CMSA 2 - 250 1 525 317 221 220 805 2 966 1 476 968 712 442 094 526 219 164

Dallas, TX PMSA 1 ---------- 589 1 085 084 155 143 529 1 987 987 217 535 259 738 351 151 073

Fort Worth–Arlington, TX

PMSA 661 ------------------- 440 233 66 77 276 979 489 751 177 182 356 175 68 091

Danville, VA MSA 64 ----------- 19 835 5 (D) 73 34 941 9 3 341 1 (D)

Davenport–Moline–Rock

Island, IA–IL MSA 229 ---------- 113 504 5 6 586 248 140 376 63 20 204 189 32 729 Dayton–Springfield, OH MSA 460 - 287 591 16 13 704 717 384 219 158 47 351 284 45 492 Daytona Beach, FL MSA 342 ----- 178 512 9 11 269 263 132 197 50 19 176 101 23 400 Decatur, AL MSA 73 ----------- 23 005 3 (D) 75 47 454 12 (D) 9 2 282 Decatur, IL MSA 60 ------------ 32 187 4 3 884 84 43 885 24 6 807 41 8 765

Denver–Boulder–Greeley, CO

CMSA 1 -------------------- 601 913 288 78 48 573 1 329 624 941 314 164 979 491 127 981

Boulder–Longmont, CO

PMSA 222 ------------------- 127 414 12 6 119 188 84 954 44 13 864 36 10 308

Denver, CO PMSA 1 -------- 289 753 410 62 40 047 1 073 509 989 258 148 337 423 111 828

Greeley, CO PMSA 90 -------- 32 464 4 2 407 68 29 998 12 2 778 32 5 845

Des Moines, IA MSA 267 -------- 141 592 19 6 123 327 153 166 78 24 692 160 27 558

Detroit–Ann Arbor–Flint, MI

CMSA 2 -------------------- 955 1 728 215 108 (D) 3 192 1 689 941 865 (D) 1 215 261 923

Ann Arbor, MI PMSA 314 ------ 192 571 7 2 423 342 182 695 79 24 650 74 19 821

Detroit, MI PMSA 2 --------- 409 1 417 974 96 67 364 2 574 1 357 605 731 361 692 997 210 783

Flint, MI PMSA 232 ------------ 117 670 5 (D) 276 149 641 55 (D) 144 31 319

Dothan, AL MSA 76 ------------ 30 011 3 2 577 85 52 636 17 5 304 28 4 238 Dover, DE MSA 84 ------------- 38 891 1 (D) 76 41 587 16 (D) 18 4 549 Dubuque, IA MSA 67 ----------- 24 873 2 (D) 68 31 608 15 (D) 41 4 806 Duluth–Superior, MN–WI

MSA 207 ---------------------- 83 983 11 4 423 160 56 111 21 4 049 156 26 631 Eau Claire, WI MSA 105 --------- 40 102 2 (D) 104 44 474 11 (D) 102 17 947

El Paso, TX MSA 289 ----------- 131 206 28 25 011 363 201 862 72 20 410 186 33 359

Elkhart–Goshen, IN MSA 129 ----- 62 384 2 (D) 111 55 281 19 (D) 30 6 156

Elmira, NY MSA 68 ------------- 29 250 1 (D) 57 24 791 20 (D) 44 5 893

Enid, OK MSA 27 -------------- 7 629 3 (D) 58 23 925 6 (D) 9 1 124

Erie, PA MSA 169 --------------- 78 927 1 (D) 172 79 920 49 (D) 129 22 219

Eugene–Springfield, OR MSA 254 - 104 842 10 4 966 243 101 624 31 5 042 63 14 696

Evansville–Henderson, IN–KY

MSA 170 ---------------------- 85 000 3 (D) 244 122 647 37 (D) 79 11 737

Fargo–Moorhead, ND–MN

MSA 95 ---------------------- 58 816 2 (D) 105 53 172 17 (D) 49 17 942

Fayetteville, NC MSA 131 -------- 60 435 3 5 762 201 118 941 26 7 130 55 8 922

Fayetteville–Springdale–

Rogers, AR MSA 154 ----------- 61 470 4 3 167 165 75 949 18 9 697 15 3 055

Florence, AL MSA 68 ----------- 31 078 5 (D) 109 50 513 16 (D) 10 2 231 Florence, SC MSA 68 ---------- 26 804 3 (D) 78 43 412 7 (D) 6 505

Fort Collins–Loveland, CO

MSA 158 ---------------------- 79 413 5 2 701 124 60 050 39 7 232 40 10 642

Fort Myers–Cape Coral, FL

MSA 308 ---------------------- 192 670 6 5 519 227 104 792 42 17 963 54 14 969

Fort Pierce–Port St. Lucie, FL

MSA 199 ---------------------- 100 067 5 5 184 157 70 472 29 5 996 29 8 481

Fort Smith, AR–OK MSA 126 ----- 35 019 6 7 638 148 69 393 11 10 640 19 1 777

Fort Walton Beach, FL MSA 144 - 79 282 1 (D) 115 51 734 24 (D) 36 11 091

Fort Wayne, IN MSA 304 -------- 151 813 7 (D) 326 182 166 67 (D) 136 28 048

Fresno, CA MSA 477 ------------ 208 928 16 7 361 495 255 691 54 22 599 116 22 136

Gadsden, AL MSA 35 ---------- 15 375 6 3 193 70 37 240 9 3 305 9 1 079

Gainesville, FL MSA 119 --------- 73 347 4 (D) 150 76 848 45 (D) 30 6 020

Glens Falls, NY MSA 175 -------- 51 092 3 (D) 89 33 688 26 (D) 53 6 702

Goldsboro, NC MSA 44 --------- 16 647 2 (D) 65 32 608 8 (D) 5 956

Grand Forks, ND–MN MSA 69 --- 35 801 – – 70 30 685 8 3 234 41 10 997

Grand Rapids–Muskegon–

Holland, MI MSA 531 ----------- 284 407 33 19 698 513 255 955 149 38 653 191 40 878

See footnotes at end of table.

US–56nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 47

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Drug and proprietary stores

(SIC 591)

Miscellaneous retail stores

(SIC 59 ex. 591)

Total Liquor stores

(SIC 592)

Used merchandise stores

(SIC 593)

Miscellaneous shopping goods

stores (SIC 594)

Total

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Cincinnati–Hamilton,

OH–KY–IN CMSA 338 ---------- 595 124 1 939 1 086 105 222 124 316 132 38 903 793 438 090

Cincinnati, OH–KY–IN

PMSA 289 ------------------- 529 469 1 706 986 671 190 109 201 117 37 109 710 397 448

Hamilton–Middletown, OH

PMSA 49 ------------------- 65 655 233 99 434 32 15 115 15 1 794 83 40 642

Clarksville–Hopkinsville,

TN–KY MSA 36 --------------- 35 259 211 71 334 35 15 260 28 5 697 73 26 894

Cleveland–Akron, OH CMSA 500 - 1 271 694 3 118 1 752 022 322 189 980 143 41 215 1 325 690 984 Akron, OH PMSA 113 --------- 225 295 711 483 437 77 44 956 37 10 927 305 163 311 Cleveland–Lorain–Elyria, OH

PMSA 387 ------------------- 1 046 399 2 407 1 268 585 245 145 024 106 30 288 1 020 527 673

Colorado Springs, CO MSA 34 -- 69 976 657 638 059 71 42 767 74 19 780 276 137 819

Columbia, MO MSA 13 --------- 20 641 165 104 185 4 (D) 16 2 293 77 33 849

Columbia, SC MSA 91 ---------- 124 805 601 274 291 70 32 008 47 12 498 258 129 042

Columbus, GA–AL MSA 50 ------ 57 701 297 137 293 40 28 874 36 10 563 101 47 275

Columbus, OH MSA 220 --------- 359 989 1 594 1 967 675 160 93 316 99 29 537 670 422 868

Corpus Christi, TX MSA 49 ------ 63 445 418 172 783 43 19 624 40 11 380 169 86 740

Cumberland, MD–WV MSA 29 --- 37 171 129 42 298 21 9 704 3 (D) 59 17 882

Dallas–Fort Worth, TX CMSA 588 - 992 104 4 883 3 486 642 418 432 805 488 179 797 1 973 1 226 350

Dallas, TX PMSA 381 ---------- 659 985 3 374 2 462 826 325 354 493 325 123 312 1 352 870 455

Fort Worth–Arlington, TX

PMSA 207 ------------------- 332 119 1 509 1 023 816 93 78 312 163 56 485 621 355 895

Danville, VA MSA 23 ----------- 30 217 92 29 905 5 (D) 5 445 37 11 139 Davenport–Moline–Rock

Island, IA–IL MSA 61 ---------- 124 504 447 207 485 26 14 776 32 5 956 197 92 385 Dayton–Springfield, OH MSA 186 - 259 815 1 084 541 111 132 82 195 76 16 670 438 229 066 Daytona Beach, FL MSA 70 ----- 151 487 552 195 161 38 26 393 50 8 941 234 85 419 Decatur, AL MSA 38 ----------- 38 896 139 54 514 11 14 662 11 1 847 60 20 895 Decatur, IL MSA 17 ------------ 41 212 145 80 060 23 11 071 9 1 151 58 22 189

Denver–Boulder–Greeley, CO

CMSA 206 -------------------- 343 269 3 207 1 816 168 436 319 235 220 70 052 1 304 813 960

Boulder–Longmont, CO

PMSA 20 ------------------- 35 733 473 299 910 49 47 280 30 9 478 197 117 159

Denver, CO PMSA 172 -------- 297 573 2 605 1 463 633 360 259 816 178 58 046 1 064 678 606

Greeley, CO PMSA 14 -------- 9 963 129 52 625 27 12 139 12 2 528 43 18 195

Des Moines, IA MSA 68 -------- 117 495 546 301 881 10 5 918 36 8 178 246 125 917

Detroit–Ann Arbor–Flint, MI

CMSA 968 -------------------- 2 039 582 5 461 3 323 889 619 399 418 274 100 493 2 319 1 489 458

Ann Arbor, MI PMSA 90 ------ 161 425 594 344 819 44 28 383 45 13 474 273 168 560

Detroit, MI PMSA 780 --------- 1 710 588 4 433 2 750 123 543 355 419 199 78 611 1 854 1 209 809

Flint, MI PMSA 98 ------------ 167 569 434 228 947 32 15 616 30 8 408 192 111 089

Dothan, AL MSA 29 ------------ 29 028 177 67 818 7 4 411 13 2 434 66 32 607 Dover, DE MSA 22 ------------- 38 814 188 89 121 45 15 670 11 2 167 59 22 435 Dubuque, IA MSA 19 ----------- 33 378 145 61 663 6 4 422 8 3 706 70 23 031 Duluth–Superior, MN–WI

MSA 48 ---------------------- 66 081 386 201 099 62 47 604 21 2 518 151 68 464 Eau Claire, WI MSA 23 --------- 42 066 157 68 315 6 2 014 3 1 481 73 33 381

El Paso, TX MSA 66 ----------- 96 659 569 275 554 58 26 316 60 18 564 248 130 848

Elkhart–Goshen, IN MSA 29 ----- 50 558 163 58 736 17 10 105 17 2 619 74 24 936

Elmira, NY MSA 19 ------------- 42 334 137 71 645 9 5 237 6 1 524 66 34 275

Enid, OK MSA 11 -------------- 14 289 73 23 283 6 1 967 3 735 35 13 055

Erie, PA MSA 56 --------------- 102 739 324 154 251 49 32 185 15 2 023 119 61 505

Eugene–Springfield, OR MSA 34 - 50 029 455 223 986 28 25 334 52 17 764 193 108 068

Evansville–Henderson, IN–KY

MSA 63 ---------------------- 91 053 364 177 061 34 20 833 36 5 659 149 78 066

Fargo–Moorhead, ND–MN

MSA 29 ---------------------- 35 499 217 130 421 28 20 236 13 1 743 91 54 385

Fayetteville, NC MSA 35 -------- 51 064 246 124 701 8 9 719 43 18 068 87 44 618

Fayetteville–Springdale–

Rogers, AR MSA 36 ----------- 29 313 296 118 332 30 24 550 28 (D) 123 43 940

Florence, AL MSA 46 ----------- 32 061 142 55 685 21 13 424 12 2 161 65 22 515 Florence, SC MSA 33 ---------- 36 432 151 57 906 12 6 235 9 1 395 60 23 957 Fort Collins–Loveland, CO

MSA 23 ---------------------- 35 042 366 151 273 34 24 618 22 4 695 189 80 580

Fort Myers–Cape Coral, FL

MSA 63 ---------------------- 138 348 542 228 314 39 21 425 43 7 299 245 112 313

Fort Pierce–Port St. Lucie, FL

MSA 49 ---------------------- 114 318 328 122 569 20 14 058 26 5 776 140 58 989

Fort Smith, AR–OK MSA 42 ----- 38 158 223 81 902 24 13 684 34 4 602 79 32 188

Fort Walton Beach, FL MSA 27 - 38 651 249 91 172 24 13 069 26 4 593 117 34 541

Fort Wayne, IN MSA 92 -------- 166 691 548 269 622 58 33 429 25 6 446 229 106 511

Fresno, CA MSA 118 ------------ 267 105 686 356 932 97 47 265 40 11 507 280 155 675

Gadsden, AL MSA 26 ---------- 23 707 90 31 915 8 6 414 9 1 073 34 12 191

Gainesville, FL MSA 33 --------- 43 303 255 117 751 20 13 890 24 5 833 113 57 041

Glens Falls, NY MSA 30 -------- 45 035 180 81 052 20 7 867 9 2 330 77 29 018

Goldsboro, NC MSA 16 --------- 21 858 96 43 493 6 7 128 8 3 811 42 16 750

Grand Forks, ND–MN MSA 20 --- 19 902 144 62 908 18 14 400 10 930 57 31 943

Grand Rapids–Muskegon–

Holland, MI MSA 150 ----------- 203 374 1 002 614 070 72 37 493 61 11 527 444 231 487

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–57
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 48

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Miscellaneous retail stores

(SIC 59 ex. 591)mCon.

Miscellaneous shopping goods stores

(SIC 594)mCon.

Sporting goods stores and

bicycle shops

(SIC 5941)

Book stores

(SIC 5942)

Jewelry stores

(SIC 5944)

Other miscellaneous

shopping goods stores

(SIC 5943, 5, 6, 7, 8, 9)

Nonstore retailers (SIC 596)Fuel dealers

(SIC 598)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Cincinnati–Hamilton,

OH–KY–IN CMSA 148 ---------- 95 172 77 43 340 201 101 571 367 198 007 176 230 050 60 71 475

Cincinnati, OH–KY–IN

PMSA 128 ------------------- 78 109 67 36 284 187 97 128 328 185 927 150 216 435 49 57 316

Hamilton–Middletown, OH

PMSA 20 ------------------- 17 063 10 7 056 14 4 443 39 12 080 26 13 615 11 14 159

Clarksville–Hopkinsville,

TN–KY MSA 13 --------------- 2 670 9 2 732 21 9 450 30 12 042 20 8 282 4 3 916

Cleveland–Akron, OH CMSA 261 - 136 010 122 74 174 298 154 308 644 326 492 315 490 066 35 50 701 Akron, OH PMSA 60 --------- 30 081 32 20 191 62 38 514 151 74 525 72 187 767 6 13 597 Cleveland–Lorain–Elyria, OH

PMSA 201 ------------------- 105 929 90 53 983 236 115 794 493 251 967 243 302 299 29 37 104

Colorado Springs, CO MSA 61 -- 35 730 23 12 324 45 18 585 147 71 180 69 380 020 4 (D)

Columbia, MO MSA 17 --------- 9 638 8 4 054 18 8 143 34 12 014 23 48 272 5 (D)

Columbia, SC MSA 45 ---------- 26 105 33 26 013 60 30 909 120 46 015 42 36 954 11 11 461

Columbus, GA–AL MSA 18 ------ (D) 5 (D) 32 17 525 46 22 170 31 24 806 7 6 433

Columbus, OH MSA 126 --------- 87 341 81 68 831 119 68 526 344 198 170 180 1 207 470 16 20 586

Corpus Christi, TX MSA 34 ------ 26 191 9 (D) 47 (D) 79 37 532 28 15 140 9 3 416

Cumberland, MD–WV MSA 13 --- 2 051 7 1 876 17 8 050 22 5 905 9 6 841 2 (D)

Dallas–Fort Worth, TX CMSA 323 - 244 018 214 146 819 471 267 055 965 568 458 438 1 061 795 71 52 887

Dallas, TX PMSA 217 ---------- 165 041 146 106 771 323 203 043 666 395 600 306 703 208 43 30 457

Fort Worth–Arlington, TX

PMSA 106 ------------------- 78 977 68 40 048 148 64 012 299 172 858 132 358 587 28 22 430

Danville, VA MSA 7 ----------- (D) 2 (D) 12 5 861 16 3 719 11 6 809 3 (D)

Davenport–Moline–Rock

Island, IA–IL MSA 43 ---------- 15 535 13 6 054 40 25 167 101 45 629 47 54 572 5 2 471 Dayton–Springfield, OH MSA 82 - 38 443 55 28 582 97 57 979 204 104 062 125 92 232 15 17 596 Daytona Beach, FL MSA 42 ----- 10 122 17 10 950 41 14 393 134 49 954 44 20 272 11 12 258 Decatur, AL MSA 8 ----------- (D) 8 (D) 17 10 480 27 (D) 9 7 349 3 (D)

Decatur, IL MSA 10 ------------ 3 318 8 3 582 10 5 498 30 9 791 10 31 806 5 3 847

Denver–Boulder–Greeley, CO

CMSA 308 -------------------- 241 638 159 107 556 214 115 433 623 349 333 302 280 902 21 18 233

Boulder–Longmont, CO

PMSA 55 ------------------- 45 828 23 18 064 32 10 075 87 43 192 51 77 329 4 2 337

Denver, CO PMSA 240 -------- 188 492 130 87 284 177 102 314 517 300 516 242 192 646 14 14 575

Greeley, CO PMSA 13 -------- 7 318 6 2 208 5 3 044 19 5 625 9 10 927 3 1 321

Des Moines, IA MSA 42 -------- 24 772 20 15 076 46 29 277 138 56 792 80 99 403 4 5 358

Detroit–Ann Arbor–Flint, MI

CMSA 471 -------------------- 378 528 222 176 520 547 331 689 1 079 602 721 466 550 923 84 129 935

Ann Arbor, MI PMSA 67 ------ 40 945 36 51 002 50 24 070 120 52 543 43 35 757 22 46 788

Detroit, MI PMSA 359 --------- 299 502 171 115 319 455 284 065 869 510 923 387 493 864 51 60 024

Flint, MI PMSA 45 ------------ 38 081 15 10 199 42 23 554 90 39 255 36 21 302 11 23 123

Dothan, AL MSA 11 ------------ 3 840 6 2 678 19 12 813 30 13 276 25 16 818 4 1 509 Dover, DE MSA 9 ------------- 2 840 11 4 056 12 5 474 27 10 065 12 17 732 13 14 484 Dubuque, IA MSA 15 ----------- 4 102 7 2 080 9 3 977 39 12 872 14 15 964 3 (D)

Duluth–Superior, MN–WI

MSA 45 ---------------------- 29 755 11 4 152 22 12 590 73 21 967 33 20 750 27 34 262 Eau Claire, WI MSA 19 --------- 10 741 8 3 189 17 7 468 29 11 983 23 (D) 7 6 532

El Paso, TX MSA 36 ----------- 20 107 26 14 306 75 38 719 111 57 716 29 21 417 10 6 592

Elkhart–Goshen, IN MSA 15 ----- 6 221 9 3 552 11 6 074 39 9 089 10 5 668 1 (D)

Elmira, NY MSA 13 ------------- 8 065 5 2 447 14 5 960 34 17 803 13 11 605 4 10 308

Enid, OK MSA 4 -------------- 1 439 4 1 936 8 2 415 19 7 265 7 (D) 1 (D)

Erie, PA MSA 34 --------------- 20 162 12 6 807 27 9 535 46 25 001 30 20 517 5 8 908

Eugene–Springfield, OR MSA 38 - 29 832 30 22 190 26 12 303 99 43 743 51 32 181 4 3 246

Evansville–Henderson, IN–KY

MSA 36 ---------------------- 14 698 15 6 172 41 25 114 57 32 082 47 34 362 8 2 848

Fargo–Moorhead, ND–MN

MSA 24 ---------------------- 23 674 5 3 784 14 11 407 48 15 520 24 23 711 7 10 224

Fayetteville, NC MSA 18 -------- 5 061 6 3 065 26 14 438 37 22 054 21 25 564 9 7 150

Fayetteville–Springdale–

Rogers, AR MSA 29 ----------- 11 621 16 6 436 22 10 574 56 15 309 26 23 132 11 7 837

Florence, AL MSA 15 ----------- 4 777 7 4 217 16 7 451 27 6 070 9 8 449 5 2 767 Florence, SC MSA 13 ---------- 2 572 4 1 924 13 7 778 30 11 683 13 6 713 4 (D)

Fort Collins–Loveland, CO

MSA 45 ---------------------- 23 415 14 7 953 29 9 102 101 40 110 32 11 532 8 4 381

Fort Myers–Cape Coral, FL

MSA 50 ---------------------- 18 741 21 8 335 40 25 701 134 59 536 50 33 590 6 10 027

Fort Pierce–Port St. Lucie, FL

MSA 35 ---------------------- 14 182 10 3 872 25 9 638 70 31 297 27 14 239 4 6 848

Fort Smith, AR–OK MSA 12 ----- 4 025 7 2 324 20 7 580 40 18 259 23 13 855 7 4 296

Fort Walton Beach, FL MSA 28 - 10 040 11 3 896 22 7 240 56 13 365 12 19 703 2 (D)

Fort Wayne, IN MSA 54 -------- 19 809 23 12 848 55 23 734 97 50 120 71 60 771 10 (D)

Fresno, CA MSA 63 ------------ 42 120 22 20 355 71 29 278 124 63 922 65 57 144 18 15 387

Gadsden, AL MSA 6 ---------- 2 338 5 1 541 7 4 989 16 3 323 6 1 360 4 3 096

Gainesville, FL MSA 23 --------- 7 741 14 14 725 25 8 973 51 25 602 21 14 664 6 7 388

Glens Falls, NY MSA 14 -------- 7 949 4 2 991 11 5 098 48 12 980 12 13 739 20 17 532

Goldsboro, NC MSA 7 --------- 3 244 3 1 622 10 6 394 22 5 490 6 2 548 5 4 263

Grand Forks, ND–MN MSA 7 --- 11 221 7 2 464 15 5 913 28 12 345 17 4 855 3 1 765

Grand Rapids–Muskegon–

Holland, MI MSA 98 ----------- 68 440 44 25 364 77 41 617 225 96 066 94 181 200 31 31 894

See footnotes at end of table.

US–58nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 49

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Miscellaneous retail stores

(SIC 59 ex. 591)mCon.

Florists

(SIC 5992)

Tobacco stores and stands

(SIC 5993)

News dealers and newsstands

(SIC 5994)

Optical goods stores

(SIC 5995)

Miscellaneous retail stores,

n.e.c.

(SIC 5999)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Cincinnati–Hamilton,

OH–KY–IN CMSA 189 ---------- 43 254 6 1 620 5 (D) 109 36 541 247 (D)

Cincinnati, OH–KY–IN

PMSA 166 ------------------- 38 381 6 1 620 4 1 514 102 35 783 212 91 864

Hamilton–Middletown, OH

PMSA 23 ------------------- 4 873 – – 1 (D) 7 758 35 (D)

Clarksville–Hopkinsville,

TN–KY MSA 21 --------------- 3 860 1 (D) 1 (D) 8 2 456 20 (D)

Cleveland–Akron, OH CMSA 293 - 59 495 23 5 265 20 5 863 223 75 792 419 142 661 Akron, OH PMSA 76 --------- 13 417 3 412 5 2 187 39 13 540 91 33 323 Cleveland–Lorain–Elyria, OH

PMSA 217 ------------------- 46 078 20 4 853 15 3 676 184 62 252 328 109 338

Colorado Springs, CO MSA 42 -- 9 520 1 (D) 2 (D) 34 10 289 84 (D)

Columbia, MO MSA 11 --------- 5 600 – – – – 8 3 199 21 (D)

Columbia, SC MSA 57 ---------- 11 216 – – 3 (D) 36 12 372 77 (D)

Columbus, GA–AL MSA 35 ------ 6 342 1 (D) – – 14 5 404 32 (D)

Columbus, OH MSA 127 --------- 35 283 7 (D) 8 2 842 97 36 479 230 (D)

Corpus Christi, TX MSA 37 ------ 4 991 2 (D) 1 (D) 28 10 833 61 20 063

Cumberland, MD–WV MSA 12 --- 2 029 – – – – 8 1 396 15 3 614

Dallas–Fort Worth, TX CMSA 388 - 94 776 18 8 053 22 7 638 271 88 106 796 334 435

Dallas, TX PMSA 258 ---------- 65 027 13 6 188 15 5 214 176 61 038 561 243 434

Fort Worth–Arlington, TX

PMSA 130 ------------------- 29 749 5 1 865 7 2 424 95 27 068 235 91 001

Danville, VA MSA 12 ----------- 2 305 – – 2 (D) 7 (D) 10 (D)

Davenport–Moline–Rock

Island, IA–IL MSA 55 ---------- 7 731 – – 2 (D) 22 10 226 61 (D)

Dayton–Springfield, OH MSA 93 - 23 244 14 1 890 5 3 212 63 20 250 123 54 756 Daytona Beach, FL MSA 56 ----- 8 731 2 (D) 2 (D) 31 9 878 84 (D)

Decatur, AL MSA 19 ----------- 2 602 1 (D) – – 10 2 062 15 (D)

Decatur, IL MSA 12 ------------ 2 455 – – – – 8 2 696 20 4 845

Denver–Boulder–Greeley, CO

CMSA 207 -------------------- 50 051 11 (D) 8 (D) 195 57 033 503 197 640

Boulder–Longmont, CO

PMSA 33 ------------------- 9 479 2 (D) 3 (D) 28 7 267 76 25 678

Denver, CO PMSA 165 -------- 39 053 9 (D) 5 (D) 162 48 280 406 167 452

Greeley, CO PMSA 9 -------- 1 519 – – – – 5 1 486 21 4 510

Des Moines, IA MSA 53 -------- 11 642 1 (D) 3 (D) 35 15 416 78 (D)

Detroit–Ann Arbor–Flint, MI

CMSA 492 -------------------- 127 388 32 (D) 19 (D) 320 145 738 836 (D)

Ann Arbor, MI PMSA 60 ------ 13 367 1 (D) 2 (D) 26 10 857 78 (D)

Detroit, MI PMSA 385 --------- 103 116 30 16 065 14 6 933 274 123 200 696 303 082

Flint, MI PMSA 47 ------------ 10 905 1 (D) 3 (D) 20 11 681 62 26 250

Dothan, AL MSA 25 ------------ 3 491 – – – – 8 1 560 29 4 988 Dover, DE MSA 12 ------------- 3 481 – – 2 (D) 10 2 575 24 (D)

Dubuque, IA MSA 14 ----------- 2 813 2 (D) – – 8 2 838 20 (D)

Duluth–Superior, MN–WI

MSA 24 ---------------------- 6 965 1 (D) 3 800 29 7 011 35 (D)

Eau Claire, WI MSA 9 --------- 1 536 – – – – 10 2 313 26 (D)

El Paso, TX MSA 49 ----------- 8 906 2 (D) 1 (D) 39 12 864 73 (D)

Elkhart–Goshen, IN MSA 13 ----- 3 678 – – – – 6 2 556 25 (D)

Elmira, NY MSA 14 ------------- 3 158 – – 1 (D) 7 2 141 17 (D)

Enid, OK MSA 7 -------------- (D) – – – – 6 1 328 8 (D)

Erie, PA MSA 39 --------------- 6 715 4 1 304 3 895 19 6 891 41 13 308

Eugene–Springfield, OR MSA 35 - 5 506 1 (D) 2 (D) 21 6 066 68 (D)

Evansville–Henderson, IN–KY

MSA 28 ---------------------- 9 298 4 (D) 2 (D) 5 3 986 51 17 279

Fargo–Moorhead, ND–MN

MSA 15 ---------------------- 4 382 – – 2 (D) 10 3 185 27 (D)

Fayetteville, NC MSA 27 -------- 4 813 1 (D) 4 785 14 5 471 32 (D)

Fayetteville–Springdale–

Rogers, AR MSA 33 ----------- 4 896 1 (D) – – 10 2 517 34 (D)

Florence, AL MSA 13 ----------- 1 450 – – – – 3 1 990 14 2 929 Florence, SC MSA 20 ---------- 2 328 – – – – 9 2 917 24 (D)

Fort Collins–Loveland, CO

MSA 15 ---------------------- (D) 1 (D) – – 8 3 237 57 (D)

Fort Myers–Cape Coral, FL

MSA 43 ---------------------- 8 853 – – 1 (D) 23 9 406 92 (D)

Fort Pierce–Port St. Lucie, FL

MSA 33 ---------------------- 4 776 1 (D) 2 (D) 18 5 141 57 12 296

Fort Smith, AR–OK MSA 22 ----- 4 076 8 2 422 2 (D) 6 2 094 18 (D)

Fort Walton Beach, FL MSA 20 - 4 387 – – 2 (D) 10 3 533 36 (D)

Fort Wayne, IN MSA 53 -------- 13 213 2 (D) 5 1 646 20 11 262 75 (D)

Fresno, CA MSA 72 ------------ 14 448 4 3 094 1 (D) 15 5 993 94 (D)

Gadsden, AL MSA 6 ---------- 1 963 – – – – 8 2 037 15 3 781

Gainesville, FL MSA 17 --------- 2 986 2 (D) – – 20 6 599 32 (D)

Glens Falls, NY MSA 10 -------- 1 393 – – 4 1 721 13 3 799 15 3 653

Goldsboro, NC MSA 13 --------- 1 767 1 (D) – – 2 (D) 13 (D)

Grand Forks, ND–MN MSA 14 --- 2 753 1 (D) – – 10 2 861 14 (D)

Grand Rapids–Muskegon–

Holland, MI MSA 82 ----------- 27 176 2 (D) 2 (D) 67 23 050 147 68 651

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–59
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 50

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Building materials and garden supplies stores

(SIC 52)

Retail trade

Total

Building materials and

supply stores

(SIC 521, 3)

Hardware stores

(SIC 525)

Retail nurseries, lawn

and garden supply stores

(SIC 526)

Manufactured (mobile)

home dealers

(SIC 527)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Great Falls, MT MSA 607 -------- 714 430 18 46 238 10 33 854 4 6 999 2 (D) 2 (D)

Green Bay, WI MSA 1 --------- 263 1 809 199 62 150 147 40 131 044 15 7 596 4 5 868 3 5 639

Greensboro–WinstonSalem–High Point, NC MSA 7 - 076 8 765 708 341 509 584 163 372 071 74 48 441 64 29 504 40 59 568

Greenville, NC MSA 772 --------- 912 095 42 73 003 16 45 156 10 4 358 4 1 160 12 22 329

Greenville–Spartanburg–

Anderson, SC MSA 5 --------- 267 6 342 370 283 436 775 125 312 705 76 37 131 42 16 186 40 70 753

Harrisburg–Lebanon–Carlisle,

PA MSA 3 ------------------- 620 5 000 798 154 229 706 60 149 727 47 25 800 37 41 298 10 12 881 Hartford, CT MSA 6 ----------- 907 9 231 880 313 484 348 158 395 086 94 47 288 60 (D) 1 (D)

Hickory–Morganton, NC MSA 1 - 899 2 140 137 114 149 380 55 107 301 25 12 025 18 10 396 16 19 658 Honolulu, HI MSA 5 ----------- 181 8 341 630 67 201 313 46 177 852 15 18 462 6 4 999 – – Houma, LA MSA 1 ------------ 040 1 169 089 66 81 349 29 63 917 24 9 621 11 (D) 2 (D)

Houston–Galveston–Brazoria,

TX CMSA 20 ----------------- 249 30 575 585 713 1 179 505 349 929 448 189 125 856 145 86 229 30 37 972

Brazoria, TX PMSA 874 -------- 1 209 768 45 52 108 27 44 457 8 3 417 9 (D) 1 (D)

Galveston–Texas City, TX

PMSA 1 ------------------- 360 1 495 035 54 59 713 29 48 925 13 4 766 10 (D) 2 (D)

Houston, TX PMSA 18 -------- 015 27 870 782 614 1 067 684 293 836 066 168 117 673 126 79 687 27 34 258

Huntington–Ashland,

WV–KY–OH MSA 1 ---------- 850 2 110 683 96 125 811 46 98 716 31 13 932 9 2 528 10 10 635

Huntsville, AL MSA 1 ---------- 782 2 312 531 73 143 597 41 124 959 17 7 054 8 2 865 7 8 719

Indianapolis, IN MSA 8 -------- 387 12 351 581 388 636 532 181 461 520 102 94 861 87 56 528 18 23 623

Iowa City, IA MSA 618 ----------- 762 014 33 52 090 22 40 395 6 (D) 4 3 970 1 (D)

Jackson, MI MSA 784 ----------- 1 007 492 54 60 196 24 36 921 18 12 729 8 5 126 4 5 420

Jackson, MS MSA 2 ---------- 307 3 123 403 116 162 143 51 125 933 33 13 765 22 15 887 10 6 558

Jackson, TN MSA 594 ----------- 718 580 29 57 654 13 41 018 6 3 729 4 1 558 6 11 349

Jacksonville, FL MSA 5 -------- 942 7 768 766 231 372 645 113 293 723 55 29 353 41 25 286 22 24 283

Jacksonville, NC MSA 750 ------- 793 674 35 49 254 14 32 715 8 3 578 4 1 362 9 11 599

Jamestown, NY MSA 967 -------- 821 241 64 58 060 27 41 315 19 6 185 11 3 370 7 7 190

Janesville–Beloit, WI MSA 840 ---- 1 163 093 43 110 628 18 92 544 14 10 105 9 (D) 2 (D)

Johnson City–Kingsport–

Bristol, TN–VA MSA 2 -------- 547 3 093 586 140 200 249 65 152 046 33 9 341 21 6 842 21 32 020

Johnstown, PA MSA 1 --------- 447 1 416 605 79 69 579 38 49 330 24 12 949 12 4 713 5 2 587

Joplin, MO MSA 981 ------------ 1 105 361 50 66 072 31 55 116 6 3 617 9 3 855 4 3 484 Kalamazoo–Battle Creek, MI

MSA 2 ---------------------- 588 3 320 026 150 204 001 78 153 095 35 19 168 27 21 436 10 10 302

Kansas City, MO–KS MSA 9 --- 233 12 655 398 413 553 934 208 404 013 117 83 324 68 54 617 20 11 980 Killeen–Temple, TX MSA 1 ----- 238 1 410 825 51 68 578 29 56 633 7 3 323 11 4 495 4 4 127 Knoxville, TN MSA 4 ---------- 431 5 878 629 223 387 489 123 292 860 44 27 747 35 21 349 21 45 533 Kokomo, IN MSA 662 ----------- 827 733 35 47 740 19 35 909 7 6 201 7 (D) 2 (D)

La Crosse, WI–MN MSA 840 ----- 1 069 831 40 74 235 18 60 114 14 8 586 7 (D) 1 (D)

Lafayette, LA MSA 1 ---------- 955 2 325 367 85 117 250 48 93 714 15 6 759 16 5 868 6 10 909 Lafayette, IN MSA 941 ----------- 1 265 150 39 81 572 21 57 620 6 (D) 10 7 912 2 (D)

Lake Charles, LA MSA 938 ------- 1 255 006 61 81 149 29 64 266 11 4 055 12 4 925 9 7 903 Lakeland–Winter Haven, FL

MSA 2 ---------------------- 292 3 047 387 120 184 696 50 136 009 22 9 242 25 6 229 23 33 216 Lancaster, PA MSA 2 --------- 568 3 273 862 107 224 093 55 176 861 22 25 158 21 8 304 9 13 770

Lansing–East Lansing, MI

MSA 2 ---------------------- 360 3 470 344 108 199 483 56 144 578 29 25 228 21 (D) 2 (D)

Laredo, TX MSA 955 ------------ 1 568 160 42 67 773 30 56 906 3 (D) 5 (D) 4 6 244 Las Cruces, NM MSA 647 -------- 793 457 32 47 006 17 30 789 7 5 719 – – 8 10 498 Las Vegas, NV–AZ MSA 5 ----- 247 8 364 728 217 389 842 109 278 115 35 34 555 25 23 020 48 54 152 Lawrence, KS MSA 541 ---------- 560 481 25 30 242 9 16 961 9 6 611 4 1 722 3 4 948

Lawton, OK MSA 632 ----------- 676 699 23 32 908 16 30 617 3 846 4 1 445 – – Lewiston–Auburn, ME MSA 631 --- 893 991 36 33 578 16 24 148 13 7 124 5 (D) 2 (D)

Lexington, KY MSA 2 ---------- 713 3 686 082 107 169 070 54 133 701 34 19 515 9 3 749 10 12 105 Lima, OH MSA 1 -------------- 024 1 257 669 53 66 349 25 48 541 15 (D) 10 8 760 3 (D)

Lincoln, NE MSA 1 ------------ 358 1 750 650 57 98 256 30 75 952 13 (D) 13 12 726 1 (D)

Little Rock–North Little Rock,

AR MSA 3 ------------------ 222 4 499 355 155 235 509 87 188 372 26 11 957 25 9 549 17 25 631

Longview–Marshall, TX MSA 1 - 354 1 523 244 60 77 045 35 67 306 13 4 642 9 (D) 3 (D)

Los Angeles–Riverside–

Orange County, CA CMSA 72 -- 769 107 567 217 2 447 4 755 314 1 455 4 021 477 542 405 590 347 242 763 103 85 484

Los Angeles–Long Beach,

CA PMSA 43 --------------- 225 63 127 489 1 283 2 580 354 780 2 189 176 310 241 980 172 130 504 21 18 694

Orange County, CA PMSA 13 - 894 21 240 136 467 947 284 272 782 000 91 79 170 74 58 326 30 27 788

Riverside–San Bernardino,

CA PMSA 12 --------------- 363 17 971 764 563 949 442 329 819 067 106 57 861 83 37 068 45 35 446

Ventura, CA PMSA 3 -------- 287 5 227 828 134 278 234 74 231 234 35 26 579 18 16 865 7 3 556

Louisville, KY–IN MSA 5 ------- 718 7 540 548 281 400 316 136 296 833 83 45 780 53 35 541 9 22 162

Lubbock, TX MSA 1 ----------- 460 1 977 926 45 74 647 26 61 712 5 (D) 13 7 736 1 (D)

Lynchburg, VA MSA 1 --------- 175 1 583 977 60 83 542 21 59 626 16 6 390 13 3 417 10 14 109

Macon, GA MSA 1 ------------ 817 2 473 694 79 128 513 42 111 427 22 7 461 11 4 763 4 4 862 Madison, WI MSA 2 ----------- 517 3 595 557 105 264 060 62 228 386 28 22 009 13 (D) 2 (D)

See footnotes at end of table.

US–60nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] D_SIPES# 8D [UFCB,D_SIPES] UFCEN 3/ 7/ 95 10:25 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 3/ 1/ 95 07:48:00 TAPE: NOreel FRAME: 3

TSF:R_US_TIPS92.DAT;1 3/ 1/ 95 07:48:53 UTF:R_US_TIPS93.DAT;1 3/ 1/ 95 07:48:53 META:R_US_TIPS96.DAT;1 3/ 1/ 95 07:54:15

Table 5. Establishments and Sales for Metropolitan Areas: 1992mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

General merchandise stores

(SIC 53)

Total

Department stores

(incl. leased depts.)1 2

(SIC 531)

Department stores

(excl. leased depts.)1

(SIC 531)

Variety stores

(SIC 533)

Miscellaneous general

merchandise stores

(SIC 539)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Great Falls, MT MSA 12 -------- 118 665 9 (D) 9 (D) 1 (D) 2 (D)

Green Bay, WI MSA 27 --------- 354 669 17 (D) 17 (D) 4 (D) 6 (D)

Greensboro–WinstonSalem–High Point, NC MSA 170 - 966 158 59 756 122 59 741 295 70 51 872 41 172 991

Greenville, NC MSA 28 --------- 89 848 7 77 577 7 76 705 13 5 853 8 7 290

Greenville–Spartanburg–

Anderson, SC MSA 117 --------- 803 882 40 635 775 40 624 290 64 (D) 13 (D)

Harrisburg–Lebanon–Carlisle,

PA MSA 72 ------------------- 623 466 35 502 656 35 490 872 21 18 726 16 113 868 Hartford, CT MSA 129 ----------- 1 036 679 54 777 738 54 755 606 33 (D) 42 (D)

Hickory–Morganton, NC MSA 46 - 266 906 17 219 762 17 217 125 22 (D) 7 (D)

Honolulu, HI MSA 73 ----------- 1 661 328 15 (D) 15 (D) 18 (D) 40 1 052 750 Houma, LA MSA 30 ------------ 200 465 10 (D) 10 (D) 13 (D) 7 (D)

Houston–Galveston–Brazoria,

TX CMSA 387 ----------------- 4 110 743 152 3 327 768 152 3 267 466 131 84 451 104 758 826

Brazoria, TX PMSA 22 -------- 199 080 11 r181 534 11 (D) 8 (D) 3 (D)

Galveston–Texas City, TX

PMSA 31 ------------------- 187 581 8 r120 842 8 (D) 15 (D) 8 (D)

Houston, TX PMSA 334 -------- 3 724 082 133 3 025 392 133 2 968 593 108 73 487 93 682 002

Huntington–Ashland,

WV–KY–OH MSA 67 ---------- 380 818 24 301 942 24 295 879 33 23 824 10 61 115

Huntsville, AL MSA 49 ---------- 385 486 18 291 558 18 287 714 16 8 457 15 89 315

Indianapolis, IN MSA 184 -------- 1 744 795 84 1 474 064 84 1 444 015 71 (D) 29 (D)

Iowa City, IA MSA 12 ----------- 110 106 9 (D) 9 (D) – – 3 (D)

Jackson, MI MSA 19 ----------- 278 954 10 274 427 10 272 062 7 (D) 2 (D)

Jackson, MS MSA 83 ---------- 500 487 17 370 823 17 359 555 46 25 346 20 115 586

Jackson, TN MSA 14 ----------- 131 642 6 115 163 6 110 805 6 (D) 2 (D)

Jacksonville, FL MSA 141 -------- 1 095 798 47 738 837 47 722 871 51 34 978 43 337 949

Jacksonville, NC MSA 23 ------- 112 856 9 101 424 9 100 060 11 (D) 3 (D)

Jamestown, NY MSA 25 -------- 83 747 8 65 790 8 63 370 9 6 210 8 14 167

Janesville–Beloit, WI MSA 19 ---- 157 533 11 152 514 11 146 223 7 (D) 1 (D)

Johnson City–Kingsport–

Bristol, TN–VA MSA 73 -------- 498 134 31 402 429 31 395 968 32 26 469 10 75 697

Johnstown, PA MSA 39 --------- 177 076 16 167 077 16 163 430 17 11 191 6 2 455

Joplin, MO MSA 23 ------------ 192 182 11 191 405 11 187 025 8 3 775 4 1 382 Kalamazoo–Battle Creek, MI

MSA 54 ---------------------- 728 850 25 617 609 25 611 205 19 16 298 10 101 347

Kansas City, MO–KS MSA 190 --- 2 018 083 88 1 687 735 88 1 654 915 53 34 094 49 329 074 Killeen–Temple, TX MSA 30 ----- 271 091 14 216 307 14 214 046 13 (D) 3 (D)

Knoxville, TN MSA 98 ---------- 725 010 38 586 549 38 579 209 40 34 651 20 111 150 Kokomo, IN MSA 21 ----------- 107 247 8 92 554 8 90 844 6 (D) 7 (D)

La Crosse, WI–MN MSA 19 ----- 163 055 11 162 653 11 160 942 6 (D) 2 (D)

Lafayette, LA MSA 65 ---------- 409 900 17 320 723 17 317 316 35 (D) 13 (D)

Lafayette, IN MSA 19 ----------- 234 746 12 (D) 12 (D) 3 (D) 4 (D)

Lake Charles, LA MSA 32 ------- 211 508 9 (D) 9 (D) 18 (D) 5 51 551 Lakeland–Winter Haven, FL

MSA 55 ---------------------- 432 884 21 347 947 21 340 188 27 (D) 7 (D)

Lancaster, PA MSA 51 --------- 305 811 17 248 119 17 240 055 19 17 693 15 48 063

Lansing–East Lansing, MI

MSA 54 ---------------------- 773 146 24 679 613 24 674 332 18 11 482 12 87 332 Laredo, TX MSA 37 ------------ 366 936 10 210 797 10 207 730 11 16 645 16 142 561 Las Cruces, NM MSA 14 -------- 112 746 7 101 156 7 99 379 2 (D) 5 (D)

Las Vegas, NV–AZ MSA 86 ----- 1 060 012 41 859 649 41 838 523 11 15 621 34 205 868 Lawrence, KS MSA 9 ---------- 63 674 4 59 600 4 58 649 1 (D) 4 (D)

Lawton, OK MSA 17 ----------- 162 841 7 (D) 7 (D) 3 (D) 7 (D)

Lewiston–Auburn, ME MSA 34 --- 118 598 8 84 461 8 82 903 17 (D) 9 (D)

Lexington, KY MSA 58 ---------- 566 780 28 463 307 28 451 308 21 18 045 9 97 427 Lima, OH MSA 29 -------------- 200 392 11 163 048 11 159 087 11 11 397 7 29 908 Lincoln, NE MSA 16 ------------ 191 553 9 190 019 9 184 046 5 (D) 2 (D)

Little Rock–North Little Rock,

AR MSA 70 ------------------ 762 191 26 r605 369 26 (D) 22 (D) 22 (D)

Longview–Marshall, TX MSA 32 - 217 845 11 r202 046 11 (D) 16 (D) 5 (D)

Los Angeles–Riverside–

Orange County, CA CMSA 1 -- 097 13 796 826 423 9 370 867 423 9 104 651 227 255 820 447 4 436 355

Los Angeles–Long Beach,

CA PMSA 660 --------------- 7 716 395 207 5 205 443 207 5 046 826 163 198 949 290 2 470 620

Orange County, CA PMSA 166 - 2 815 738 82 1 858 137 82 1 808 116 19 21 494 65 986 128

Riverside–San Bernardino,

CA PMSA 222 --------------- 2 608 521 111 1 850 206 111 1 805 838 39 30 759 72 771 924

Ventura, CA PMSA 49 -------- 656 172 23 457 081 23 443 871 6 4 618 20 207 683

Louisville, KY–IN MSA 129 ------- 1 079 827 47 876 884 47 862 915 58 48 369 24 168 543

Lubbock, TX MSA 26 ----------- 333 914 12 244 107 12 240 899 7 3 332 7 89 683

Lynchburg, VA MSA 41 --------- 190 604 15 162 877 15 159 306 15 10 383 11 20 915

Macon, GA MSA 37 ------------ 358 525 16 277 128 16 272 789 14 (D) 7 (D)

Madison, WI MSA 42 ----------- 406 972 24 352 123 24 344 102 11 (D) 7 (D)

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–61
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 52

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Food stores

(SIC 54)

Total Grocery stores

(SIC 541)

Meat and fish (seafood)

markets

(SIC 542)

Retail bakeries

(SIC 546)

Other food stores

(SIC 543, 4, 5, 9)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Great Falls, MT MSA 42 -------- 122 011 32 118 993 1 (D) 5 (D) 4 1 667

Green Bay, WI MSA 97 --------- 274 758 50 257 351 8 4 196 21 6 911 18 6 300

Greensboro–WinstonSalem–High Point, NC MSA 753 - 1 509 302 615 1 469 020 25 9 989 56 14 581 57 15 712

Greenville, NC MSA 92 --------- 170 201 78 166 786 5 1 407 4 1 283 5 725

Greenville–Spartanburg–

Anderson, SC MSA 580 --------- 1 286 319 499 1 264 768 13 6 135 28 5 442 40 9 974

Harrisburg–Lebanon–Carlisle,

PA MSA 391 ------------------- 879 909 274 845 478 28 14 113 32 6 641 57 13 677 Hartford, CT MSA 714 ----------- 1 761 943 464 1 669 443 31 16 086 142 49 337 77 27 077 Hickory–Morganton, NC MSA 251 - 451 119 233 445 158 2 (D) 8 (D) 8 3 896 Honolulu, HI MSA 586 ----------- 1 301 906 383 1 191 599 43 35 324 93 42 563 67 32 420 Houma, LA MSA 175 ------------ 309 502 138 300 106 12 6 019 17 2 047 8 1 330

Houston–Galveston–Brazoria,

TX CMSA 2 ----------------- 842 6 258 215 2 280 6 052 757 160 (D) 255 59 291 147 (D)

Brazoria, TX PMSA 142 -------- 303 670 122 300 386 4 (D) 13 1 691 3 (D)

Galveston–Texas City, TX

PMSA 191 ------------------- 374 864 158 363 534 10 6 338 13 2 579 10 2 413

Houston, TX PMSA 2 -------- 509 5 579 681 2 000 5 388 837 146 83 752 229 55 021 134 52 071

Huntington–Ashland,

WV–KY–OH MSA 215 ---------- 436 230 175 423 983 7 3 084 13 2 314 20 6 849

Huntsville, AL MSA 212 ---------- 419 826 183 411 147 4 (D) 8 (D) 17 5 567

Indianapolis, IN MSA 696 -------- 1 889 342 477 1 833 669 23 9 473 103 25 289 93 20 911

Iowa City, IA MSA 54 ----------- 154 914 38 150 031 1 (D) 7 3 014 8 (D)

Jackson, MI MSA 112 ----------- 138 544 85 133 238 6 1 651 10 2 090 11 1 565

Jackson, MS MSA 289 ---------- 573 764 237 561 606 9 4 682 18 2 085 25 5 391

Jackson, TN MSA 65 ----------- 105 470 55 98 515 2 (D) 3 1 059 5 (D)

Jacksonville, FL MSA 734 -------- 1 422 738 551 1 362 025 46 23 980 57 13 125 80 23 608

Jacksonville, NC MSA 56 ------- 134 567 47 131 499 4 928 3 (D) 2 (D)

Jamestown, NY MSA 109 -------- 179 994 85 173 460 2 (D) 8 (D) 14 3 031

Janesville–Beloit, WI MSA 60 ---- 220 871 45 216 700 3 (D) 5 1 821 7 (D)

Johnson City–Kingsport–

Bristol, TN–VA MSA 335 -------- 651 421 299 641 005 5 1 483 8 3 025 23 5 908

Johnstown, PA MSA 169 --------- 345 547 131 335 935 6 1 341 13 2 264 19 6 007

Joplin, MO MSA 108 ------------ 208 713 87 204 893 2 (D) 9 (D) 10 1 866 Kalamazoo–Battle Creek, MI

MSA 303 ---------------------- 465 334 227 444 992 10 3 933 39 10 226 27 6 183

Kansas City, MO–KS MSA 870 --- 2 181 783 610 2 119 247 23 12 242 133 25 772 104 24 522 Killeen–Temple, TX MSA 151 ----- 290 976 129 285 404 4 2 369 8 1 279 10 1 924 Knoxville, TN MSA 553 ---------- 983 689 464 958 240 6 1 780 23 4 700 60 18 969 Kokomo, IN MSA 70 ----------- 143 796 50 137 980 7 3 242 7 1 504 6 1 070 La Crosse, WI–MN MSA 65 ----- 183 289 43 177 124 2 (D) 11 3 230 9 (D)

Lafayette, LA MSA 325 ---------- 516 352 262 498 259 21 9 831 24 4 571 18 3 691 Lafayette, IN MSA 81 ----------- 198 880 56 190 274 1 (D) 12 (D) 12 6 191 Lake Charles, LA MSA 132 ------- 266 770 107 259 680 9 4 672 10 1 332 6 1 086 Lakeland–Winter Haven, FL

MSA 298 ---------------------- 601 874 255 583 740 10 11 752 15 2 202 18 4 180 Lancaster, PA MSA 358 --------- 664 174 209 598 540 38 29 531 48 9 914 63 26 189

Lansing–East Lansing, MI

MSA 272 ---------------------- 473 531 217 460 332 8 2 424 26 5 625 21 5 150 Laredo, TX MSA 114 ------------ 290 198 83 280 568 5 3 585 17 3 394 9 2 651 Las Cruces, NM MSA 63 -------- 158 144 49 155 693 – – 7 506 7 1 945 Las Vegas, NV–AZ MSA 538 ----- 1 660 724 402 1 612 085 4 (D) 48 (D) 84 31 252 Lawrence, KS MSA 37 ---------- 114 714 23 110 399 2 (D) 6 (D) 6 1 879

Lawton, OK MSA 77 ----------- 113 847 65 111 971 3 (D) 4 (D) 5 1 003 Lewiston–Auburn, ME MSA 82 --- 196 349 58 189 036 2 (D) 9 3 205 13 (D)

Lexington, KY MSA 282 ---------- 670 925 223 653 498 12 6 384 30 6 440 17 4 603 Lima, OH MSA 90 -------------- 245 524 71 241 545 2 (D) 11 2 035 6 (D)

Lincoln, NE MSA 88 ------------ 300 045 45 291 903 – – 17 2 615 26 5 527 Little Rock–North Little Rock,

AR MSA 348 ------------------ 686 146 266 670 463 13 4 475 39 6 095 30 5 113

Longview–Marshall, TX MSA 161 - 299 748 137 295 204 6 1 865 12 1 472 6 1 207

Los Angeles–Riverside–

Orange County, CA CMSA 7 -- 791 20 899 157 4 593 19 661 499 459 341 805 1 673 414 698 1 066 481 155

Los Angeles–Long Beach,

CA PMSA 4 --------------- 777 12 260 346 2 684 11 450 908 337 233 659 1 101 279 715 655 296 064

Orange County, CA PMSA 1 - 306 3 751 080 758 3 523 767 63 59 835 289 77 564 196 89 914

Riverside–San Bernardino,

CA PMSA 1 --------------- 357 3 883 912 946 3 735 111 38 37 079 208 38 416 165 73 306

Ventura, CA PMSA 351 -------- 1 003 819 205 951 713 21 11 232 75 19 003 50 21 871

Louisville, KY–IN MSA 681 ------- 1 401 495 520 1 353 993 25 12 930 77 17 813 59 16 759

Lubbock, TX MSA 150 ----------- 353 649 117 345 031 4 1 195 14 2 268 15 5 155

Lynchburg, VA MSA 158 --------- 279 571 143 274 883 3 1 694 7 1 737 5 1 257

Macon, GA MSA 173 ------------ 373 170 143 365 032 11 2 029 11 3 900 8 2 209 Madison, WI MSA 175 ----------- 554 320 111 524 515 14 7 684 21 8 240 29 13 881

See footnotes at end of table.

US–62nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 53

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Automotive dealers

(SIC 55 ex. 554)

Total New and used car dealers

(SIC 551)

Used car dealers

(SIC 552)

Auto and home supply stores

(SIC 553)

Miscellaneous automotive

dealers

(SIC 555, 6, 7, 9)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Great Falls, MT MSA 50 -------- 170 108 11 122 433 14 20 350 18 11 534 7 15 791

Green Bay, WI MSA 84 --------- 419 908 18 352 324 31 28 692 18 14 185 17 24 707

Greensboro–WinstonSalem–High Point, NC MSA 523 - 1 884 894 114 1 584 823 139 85 553 218 152 756 52 61 762

Greenville, NC MSA 58 --------- 206 184 13 154 548 19 30 658 22 11 625 4 9 353

Greenville–Spartanburg–

Anderson, SC MSA 457 --------- 1 346 152 80 1 097 572 124 87 008 213 116 517 40 45 055

Harrisburg–Lebanon–Carlisle,

PA MSA 230 ------------------- 1 116 652 82 974 153 62 62 413 61 50 992 25 29 094 Hartford, CT MSA 353 ----------- 1 815 627 112 1 618 058 55 35 026 153 119 397 33 43 146 Hickory–Morganton, NC MSA 182 - 466 559 38 360 144 51 41 454 75 48 838 18 16 123 Honolulu, HI MSA 179 ----------- 1 108 632 49 972 887 16 17 096 97 87 154 17 31 495 Houma, LA MSA 87 ------------ 232 562 16 192 100 11 5 197 45 22 296 15 12 969

Houston–Galveston–Brazoria,

TX CMSA 1 ----------------- 325 7 404 807 212 6 360 668 287 238 715 670 594 381 156 211 043

Brazoria, TX PMSA 69 -------- 319 823 18 277 215 10 9 380 34 25 033 7 8 195

Galveston–Texas City, TX

PMSA 85 ------------------- 291 253 9 224 986 14 11 852 39 28 752 23 25 663

Houston, TX PMSA 1 -------- 171 6 793 731 185 5 858 467 263 217 483 597 540 596 126 177 185

Huntington–Ashland,

WV–KY–OH MSA 158 ---------- 366 785 31 289 668 36 23 499 75 35 456 16 18 162

Huntsville, AL MSA 126 ---------- 505 362 20 402 555 29 18 694 62 47 459 15 36 654

Indianapolis, IN MSA 530 -------- 2 505 416 119 2 099 498 131 117 138 234 163 928 46 124 852

Iowa City, IA MSA 33 ----------- 136 135 12 124 046 4 (D) 12 6 447 5 (D)

Jackson, MI MSA 52 ----------- 181 602 10 140 415 10 16 204 21 17 368 11 7 615

Jackson, MS MSA 152 ---------- 803 233 32 714 279 28 16 450 79 58 065 13 14 439

Jackson, TN MSA 44 ----------- 133 386 9 105 738 16 (D) 17 14 274 2 (D)

Jacksonville, FL MSA 441 -------- 1 912 424 85 1 604 144 105 84 971 194 128 478 57 94 831

Jacksonville, NC MSA 79 ------- 204 423 20 164 657 20 11 437 31 20 194 8 8 135

Jamestown, NY MSA 64 -------- 193 695 24 171 649 13 3 083 17 10 098 10 8 865

Janesville–Beloit, WI MSA 48 ---- 270 634 19 220 000 10 6 632 12 34 198 7 9 804

Johnson City–Kingsport–

Bristol, TN–VA MSA 217 -------- 681 680 47 564 273 51 39 402 94 47 801 25 30 204

Johnstown, PA MSA 128 --------- 289 949 51 243 218 24 17 415 40 18 894 13 10 422

Joplin, MO MSA 93 ------------ 235 490 21 166 776 32 27 459 30 15 554 10 25 701 Kalamazoo–Battle Creek, MI

MSA 161 ---------------------- 671 970 49 567 549 20 34 227 66 48 888 26 21 306

Kansas City, MO–KS MSA 581 --- 2 960 798 167 2 594 115 115 126 418 243 169 831 56 70 434 Killeen–Temple, TX MSA 125 ----- 352 215 25 279 373 35 31 039 56 35 280 9 6 523 Knoxville, TN MSA 300 ---------- 1 433 325 64 1 114 349 72 49 760 127 98 892 37 170 324 Kokomo, IN MSA 46 ----------- 222 226 10 200 154 11 5 396 20 12 678 5 3 998 La Crosse, WI–MN MSA 48 ----- 210 100 16 177 473 12 4 784 12 21 722 8 6 121

Lafayette, LA MSA 119 ---------- 463 563 29 394 524 14 9 003 61 41 010 15 19 026 Lafayette, IN MSA 65 ----------- 275 818 22 227 572 20 24 637 15 14 012 8 9 597 Lake Charles, LA MSA 54 ------- 301 161 13 264 794 6 5 359 28 19 728 7 11 280 Lakeland–Winter Haven, FL

MSA 196 ---------------------- 693 431 41 573 054 45 44 586 82 50 989 28 24 802 Lancaster, PA MSA 172 --------- 659 163 58 551 243 47 42 946 41 29 742 26 35 232

Lansing–East Lansing, MI

MSA 137 ---------------------- 757 010 43 674 189 20 17 118 52 41 352 22 24 351 Laredo, TX MSA 71 ------------ 138 458 5 79 805 17 10 018 44 44 280 5 4 355 Las Cruces, NM MSA 47 -------- 146 796 11 104 835 8 9 845 21 16 472 7 15 644 Las Vegas, NV–AZ MSA 328 ----- 1 691 830 60 1 376 109 68 68 017 138 129 328 62 118 376 Lawrence, KS MSA 32 ---------- 102 353 8 90 333 8 4 318 11 6 394 5 1 308

Lawton, OK MSA 44 ----------- 145 786 13 124 667 7 3 688 16 11 419 8 6 012 Lewiston–Auburn, ME MSA 41 --- 109 635 5 79 697 15 10 113 17 (D) 4 (D)

Lexington, KY MSA 147 ---------- 748 605 47 657 237 22 20 132 65 46 591 13 24 645 Lima, OH MSA 83 -------------- 285 079 20 247 081 21 10 338 34 21 688 8 5 972 Lincoln, NE MSA 86 ------------ 326 950 19 271 636 32 26 385 26 15 136 9 13 793 Little Rock–North Little Rock,

AR MSA 240 ------------------ 1 251 040 51 1 072 710 49 60 814 107 58 955 33 58 561

Longview–Marshall, TX MSA 126 - 352 034 22 280 856 26 13 979 68 41 932 10 15 267

Los Angeles–Riverside–

Orange County, CA CMSA 4 -- 144 22 154 453 886 18 722 116 425 574 731 2 307 1 879 910 526 977 696

Los Angeles–Long Beach,

CA PMSA 2 --------------- 222 12 680 316 491 10 885 769 259 397 838 1 255 1 050 365 217 346 344

Orange County, CA PMSA 773 - 4 490 374 166 3 763 455 60 57 598 402 337 669 145 331 652

Riverside–San Bernardino,

CA PMSA 904 --------------- 3 633 599 168 2 893 862 83 104 240 533 398 089 120 237 408

Ventura, CA PMSA 245 -------- 1 350 164 61 1 179 030 23 15 055 117 93 787 44 62 292

Louisville, KY–IN MSA 373 ------- 1 559 059 71 1 300 924 85 87 125 175 110 298 42 60 712

Lubbock, TX MSA 102 ----------- 465 066 16 379 451 29 21 943 40 32 228 17 31 444

Lynchburg, VA MSA 94 --------- 232 654 23 187 423 22 8 625 36 25 480 13 11 126

Macon, GA MSA 140 ------------ 766 647 32 679 752 31 20 176 65 42 291 12 24 428 Madison, WI MSA 105 ----------- 798 418 31 681 926 17 28 982 37 46 061 20 41 449

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–63
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 54

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Gasoline service stations

(SIC 554)

Apparel and accessory stores

(SIC 56)

Total

Men’s and boys’ clothing and

accessory stores

(SIC 561)

Women’s clothing and specialty stores

(SIC 562, 3)

Total Women’s clothing stores

(SIC 562)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Great Falls, MT MSA 38 -------- 39 301 45 27 257 2 (D) 18 9 804 16 (D)

Green Bay, WI MSA 83 --------- 120 299 126 72 000 10 5 991 57 36 508 49 34 260

Greensboro–WinstonSalem–High Point, NC MSA 580 - 674 650 731 470 379 81 49 981 308 171 091 266 154 291

Greenville, NC MSA 58 --------- 67 627 91 49 619 6 (D) 44 15 369 39 14 690

Greenville–Spartanburg–

Anderson, SC MSA 420 --------- 511 526 484 307 673 46 21 447 216 89 422 186 80 640

Harrisburg–Lebanon–Carlisle,

PA MSA 292 ------------------- 403 095 330 188 800 35 17 737 141 70 803 117 62 894 Hartford, CT MSA 510 ----------- 677 426 601 564 320 63 46 869 255 176 800 225 164 135 Hickory–Morganton, NC MSA 143 - 122 602 150 81 702 7 3 747 71 38 437 65 35 788 Honolulu, HI MSA 212 ----------- 355 066 669 753 862 64 63 768 276 343 727 217 192 224 Houma, LA MSA 88 ------------ 68 889 89 40 662 10 4 590 34 15 936 32 (D)

Houston–Galveston–Brazoria,

TX CMSA 1 ----------------- 272 1 833 790 2 093 1 689 882 219 166 841 834 658 104 696 605 582

Brazoria, TX PMSA 62 -------- 78 926 75 38 161 4 1 748 29 11 277 26 10 656

Galveston–Texas City, TX

PMSA 67 ------------------- 78 979 164 101 199 20 13 012 61 37 558 57 34 865

Houston, TX PMSA 1 -------- 143 1 675 885 1 854 1 550 522 195 152 081 744 609 269 613 560 061

Huntington–Ashland,

WV–KY–OH MSA 163 ---------- 169 417 164 90 030 18 6 128 62 33 567 48 29 826

Huntsville, AL MSA 143 ---------- 134 685 168 137 919 14 4 520 69 37 062 58 33 994

Indianapolis, IN MSA 620 -------- 937 422 712 493 509 75 57 610 311 188 473 266 171 881

Iowa City, IA MSA 42 ----------- 49 504 60 25 357 5 2 483 24 7 874 21 7 379

Jackson, MI MSA 63 ----------- 72 169 50 23 657 6 4 319 19 9 876 16 9 147

Jackson, MS MSA 200 ---------- 224 791 247 136 089 33 21 151 102 56 521 84 51 557

Jackson, TN MSA 48 ----------- 50 552 64 45 595 8 3 370 31 17 003 30 (D)

Jacksonville, FL MSA 434 -------- 587 745 597 333 079 62 34 793 254 128 887 214 114 908

Jacksonville, NC MSA 64 ------- 57 696 69 30 531 8 3 575 30 14 796 26 14 262

Jamestown, NY MSA 60 -------- 63 782 69 26 118 3 (D) 33 8 617 30 8 170

Janesville–Beloit, WI MSA 77 ---- 123 348 60 26 166 5 (D) 30 13 995 28 (D)

Johnson City–Kingsport–

Bristol, TN–VA MSA 229 -------- 226 554 216 106 689 15 6 233 99 39 643 89 38 089

Johnstown, PA MSA 121 --------- 121 074 131 52 938 17 6 809 55 19 842 46 17 802

Joplin, MO MSA 82 ------------ 113 602 85 44 837 7 3 398 35 15 652 31 14 102 Kalamazoo–Battle Creek, MI

MSA 186 ---------------------- 263 903 245 150 916 20 10 506 108 56 363 93 52 355

Kansas City, MO–KS MSA 688 --- 903 216 764 508 432 84 61 347 293 199 684 236 176 417 Killeen–Temple, TX MSA 99 ----- 89 028 106 49 876 9 3 803 44 15 146 35 13 930 Knoxville, TN MSA 311 ---------- 454 978 490 337 445 45 33 725 199 104 533 171 93 450 Kokomo, IN MSA 43 ----------- 60 620 63 27 576 2 (D) 34 11 951 28 11 343 La Crosse, WI–MN MSA 63 ----- 75 492 77 35 681 6 1 871 35 17 135 31 16 469

Lafayette, LA MSA 173 ---------- 175 856 197 115 861 24 9 980 66 32 212 57 28 000 Lafayette, IN MSA 58 ----------- 81 404 81 41 596 7 2 717 35 17 968 32 (D)

Lake Charles, LA MSA 80 ------- 90 410 98 57 276 7 3 594 35 14 961 33 (D)

Lakeland–Winter Haven, FL

MSA 220 ---------------------- 249 973 194 111 584 14 7 914 82 34 282 69 31 160 Lancaster, PA MSA 136 --------- 171 504 235 200 056 27 21 928 83 52 692 68 45 666

Lansing–East Lansing, MI

MSA 158 ---------------------- 231 860 249 141 238 31 18 244 98 54 576 85 50 842 Laredo, TX MSA 51 ------------ 67 031 173 184 075 20 26 592 67 64 855 55 58 197 Las Cruces, NM MSA 56 -------- 95 566 60 35 191 3 1 196 24 10 247 21 9 602 Las Vegas, NV–AZ MSA 253 ----- 577 592 534 401 529 69 52 142 199 147 165 160 132 337 Lawrence, KS MSA 36 ---------- 44 642 56 31 088 5 2 880 20 9 992 17 8 927

Lawton, OK MSA 44 ----------- 33 849 51 24 942 9 (D) 21 10 169 17 9 483 Lewiston–Auburn, ME MSA 47 --- 49 584 48 25 899 6 (D) 18 9 591 16 (D)

Lexington, KY MSA 212 ---------- 303 477 240 203 906 20 13 122 94 61 949 81 56 779 Lima, OH MSA 92 -------------- 115 191 89 35 552 8 2 970 43 17 897 35 16 852 Lincoln, NE MSA 113 ------------ 119 263 113 93 408 9 4 716 45 23 136 40 22 238 Little Rock–North Little Rock,

AR MSA 231 ------------------ 316 343 332 212 461 44 22 927 149 87 923 128 77 439

Longview–Marshall, TX MSA 161 - 138 898 121 63 325 8 4 398 51 17 339 47 (D)

Los Angeles–Riverside–

Orange County, CA CMSA 3 -- 883 7 062 040 8 115 6 437 328 991 701 195 3 228 2 017 714 2 760 1 811 888

Los Angeles–Long Beach,

CA PMSA 2 --------------- 255 3 981 022 5 074 3 982 504 665 478 034 2 016 1 322 189 1 730 1 188 604

Orange County, CA PMSA 667 - 1 261 538 1 482 1 396 463 178 127 937 603 383 276 501 337 670

Riverside–San Bernardino,

CA PMSA 790 --------------- 1 490 476 1 241 866 810 118 76 364 477 254 287 414 233 333

Ventura, CA PMSA 171 -------- 329 004 318 191 551 30 18 860 132 57 962 115 52 281

Louisville, KY–IN MSA 444 ------- 597 871 440 294 611 33 24 597 182 133 153 146 123 125

Lubbock, TX MSA 111 ----------- 107 206 155 106 518 10 5 943 61 29 888 50 25 620

Lynchburg, VA MSA 99 --------- 95 521 104 51 967 14 8 883 46 24 071 41 21 893

Macon, GA MSA 161 ------------ 180 216 207 109 836 23 12 630 92 41 875 82 38 575 Madison, WI MSA 170 ----------- 239 400 260 168 715 28 16 316 113 64 891 101 59 618

See footnotes at end of table.

US–64nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 55

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Apparel and accessory stores

(SIC 56)mCon.

Women’s clothing and specialty stores (SIC 562, 3)mCon.

Women’s accessory and specialty stores

(SIC 563)

Family clothing stores

(SIC 565)

Shoe stores

(SIC 566)

Other apparel and accessory stores (SIC 564, 9)

Furniture and homefurnishings

stores (SIC 57)

Total

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Great Falls, MT MSA 2 -------- (D) 4 6 798 15 7 329 6 (D) 44 33 376

Green Bay, WI MSA 8 --------- 2 248 10 13 098 42 15 041 7 1 362 91 89 964

Greensboro–WinstonSalem–High Point, NC MSA 42 - 16 800 80 134 500 202 92 494 60 22 313 651 566 312

Greenville, NC MSA 5 --------- 679 7 (D) 24 9 044 10 (D) 70 41 258

Greenville–Spartanburg–

Anderson, SC MSA 30 --------- 8 782 60 130 578 122 49 815 40 16 411 436 304 702

Harrisburg–Lebanon–Carlisle,

PA MSA 24 ------------------- 7 909 29 40 443 100 48 797 25 11 020 265 196 416 Hartford, CT MSA 30 ----------- 12 665 85 253 953 150 63 380 48 23 318 483 423 529 Hickory–Morganton, NC MSA 6 - 2 649 20 23 202 42 13 968 10 2 348 191 162 944 Honolulu, HI MSA 59 ----------- 151 503 136 153 920 92 117 281 101 75 166 298 339 680 Houma, LA MSA 2 ------------ (D) 9 7 320 28 10 395 8 2 421 65 39 065

Houston–Galveston–Brazoria,

TX CMSA 138 ----------------- 52 522 300 495 312 528 288 036 212 81 589 1 380 1 584 101

Brazoria, TX PMSA 3 -------- 621 15 15 788 17 7 167 10 2 181 47 27 643

Galveston–Texas City, TX

PMSA 4 ------------------- 2 693 21 23 141 39 20 144 23 7 344 75 41 518

Houston, TX PMSA 131 -------- 49 208 264 456 383 472 260 725 179 72 064 1 258 1 514 940

Huntington–Ashland,

WV–KY–OH MSA 14 ---------- 3 741 18 25 440 53 21 869 13 3 026 133 90 242

Huntsville, AL MSA 11 ---------- 3 068 24 75 464 47 18 861 14 2 012 156 121 705

Indianapolis, IN MSA 45 -------- 16 592 57 103 689 189 111 162 80 32 575 662 616 577

Iowa City, IA MSA 3 ----------- 495 8 7 530 17 6 248 6 1 222 50 44 215

Jackson, MI MSA 3 ----------- 729 5 2 104 16 6 536 4 822 50 35 885

Jackson, MS MSA 18 ---------- 4 964 19 19 021 77 30 947 16 8 449 168 129 359

Jackson, TN MSA 1 ----------- (D) 3 (D) 15 7 219 7 (D) 57 39 073

Jacksonville, FL MSA 40 -------- 13 979 60 86 725 164 65 187 57 17 487 472 327 436

Jacksonville, NC MSA 4 ------- 534 5 (D) 19 7 077 7 (D) 55 52 088

Jamestown, NY MSA 3 -------- 447 10 9 657 22 6 552 1 (D) 61 30 731

Janesville–Beloit, WI MSA 2 ---- (D) 4 1 752 19 8 596 2 (D) 59 36 310

Johnson City–Kingsport–

Bristol, TN–VA MSA 10 -------- 1 554 21 32 435 68 25 307 13 3 071 196 115 201

Johnstown, PA MSA 9 --------- 2 040 18 13 946 33 10 404 8 1 937 84 54 012

Joplin, MO MSA 4 ------------ 1 550 13 10 218 23 13 625 7 1 944 73 38 030 Kalamazoo–Battle Creek, MI

MSA 15 ---------------------- 4 008 27 43 702 69 33 129 21 7 216 178 151 361

Kansas City, MO–KS MSA 57 --- 23 267 87 110 401 193 96 917 107 40 083 684 620 135 Killeen–Temple, TX MSA 9 ----- 1 216 16 19 175 23 9 661 14 2 091 84 57 297 Knoxville, TN MSA 28 ---------- 11 083 74 108 478 112 63 003 60 27 706 329 247 862 Kokomo, IN MSA 6 ----------- 608 3 5 721 18 7 491 6 (D) 39 32 484 La Crosse, WI–MN MSA 4 ----- 666 8 5 695 21 9 324 7 1 656 56 54 953

Lafayette, LA MSA 9 ---------- 4 212 33 45 385 52 21 266 22 7 018 140 89 885 Lafayette, IN MSA 3 ----------- (D) 8 7 712 21 8 899 10 4 300 62 51 934 Lake Charles, LA MSA 2 ------- (D) 14 23 637 25 11 499 17 3 585 70 41 357 Lakeland–Winter Haven, FL

MSA 13 ---------------------- 3 122 27 43 837 58 21 411 13 4 140 189 235 462 Lancaster, PA MSA 15 --------- 7 026 37 65 576 63 43 367 25 16 493 221 197 327

Lansing–East Lansing, MI

MSA 13 ---------------------- 3 734 31 28 999 61 27 105 28 12 314 183 180 864 Laredo, TX MSA 12 ------------ 6 658 23 59 369 42 26 421 21 6 838 69 156 505 Las Cruces, NM MSA 3 -------- 645 9 14 200 16 8 065 8 1 483 39 28 028 Las Vegas, NV–AZ MSA 39 ----- 14 828 66 99 287 150 85 559 50 17 376 399 381 184 Lawrence, KS MSA 3 ---------- 1 065 12 8 035 11 7 373 8 2 808 47 31 943

Lawton, OK MSA 4 ----------- 686 6 5 507 12 5 654 3 (D) 44 27 722 Lewiston–Auburn, ME MSA 2 --- (D) 7 6 865 16 7 214 1 (D) 49 23 140 Lexington, KY MSA 13 ---------- 5 170 26 85 627 67 33 910 33 9 298 201 165 376 Lima, OH MSA 8 -------------- 1 045 4 2 267 29 11 654 5 764 69 43 262 Lincoln, NE MSA 5 ------------ 898 18 40 308 28 14 845 13 10 403 101 85 378 Little Rock–North Little Rock,

AR MSA 21 ------------------ 10 484 33 56 895 76 35 058 30 9 658 260 203 525

Longview–Marshall, TX MSA 4 - (D) 20 26 963 30 13 069 12 1 556 100 63 160

Los Angeles–Riverside–

Orange County, CA CMSA 468 -- 205 826 932 2 178 556 2 024 1 124 017 940 415 846 5 984 6 414 134

Los Angeles–Long Beach,

CA PMSA 286 --------------- 133 585 587 1 229 857 1 238 702 411 568 250 013 3 491 4 015 713

Orange County, CA PMSA 102 - 45 606 164 592 607 346 202 223 191 90 420 1 267 1 418 596

Riverside–San Bernardino,

CA PMSA 63 --------------- 20 954 154 302 825 350 175 251 142 58 083 973 735 065

Ventura, CA PMSA 17 -------- 5 681 27 53 267 90 44 132 39 17 330 253 244 760

Louisville, KY–IN MSA 36 ------- 10 028 43 60 259 132 62 873 50 13 729 389 381 221

Lubbock, TX MSA 11 ----------- 4 268 27 43 869 33 19 132 24 7 686 110 88 247

Lynchburg, VA MSA 5 --------- 2 178 8 5 704 26 11 664 10 1 645 79 54 159

Macon, GA MSA 10 ------------ 3 300 19 28 134 60 22 774 13 4 423 137 96 322 Madison, WI MSA 12 ----------- 5 273 37 43 858 62 36 853 20 6 797 190 260 333

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–65
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 56

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Furniture and homefurnishings stores

(SIC 57)mCon.

Furniture stores (SIC 5712)Homefurnishings stores

(SIC 5713, 4, 9)

Household appliance stores

(SIC 572)

Radio, television,

computer, and music stores

(SIC 573)

Eating and drinking places

(SIC 58)

Total Eating places

(SIC 5812)

Total

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Great Falls, MT MSA 15 -------- 10 070 11 (D) 5 (D) 13 11 026 220 79 488 153 62 560

Green Bay, WI MSA 27 --------- 29 296 28 13 490 12 9 533 24 37 645 413 169 261 293 150 114

Greensboro–WinstonSalem–High Point, NC MSA 242 - 308 193 188 102 210 62 28 930 159 126 979 1 804 918 211 1 694 900 580

Greenville, NC MSA 17 --------- 20 150 20 7 409 7 4 257 26 9 442 184 100 237 170 96 938

Greenville–Spartanburg–

Anderson, SC MSA 169 --------- 110 064 115 80 940 31 21 397 121 92 301 1 350 657 321 1 265 639 281

Harrisburg–Lebanon–Carlisle,

PA MSA 73 ------------------- 60 958 67 44 297 39 33 648 86 57 513 1 045 437 567 882 403 730 Hartford, CT MSA 130 ----------- 156 708 145 73 042 45 50 020 163 143 759 2 008 859 929 1 808 815 428 Hickory–Morganton, NC MSA 93 - 120 046 45 14 748 13 6 438 40 21 712 413 193 240 398 189 587 Honolulu, HI MSA 62 ----------- 79 770 80 58 936 34 31 169 122 169 805 1 865 1 388 471 1 626 1 305 178 Houma, LA MSA 21 ------------ 15 218 12 6 821 15 8 648 17 8 378 239 95 868 195 90 430

Houston–Galveston–Brazoria,

TX CMSA 331 ----------------- 436 624 429 330 903 101 113 398 519 703 176 5 677 3 256 710 5 091 3 055 491

Brazoria, TX PMSA 18 -------- 12 553 11 7 332 7 4 013 11 3 745 231 93 221 210 90 826

Galveston–Texas City, TX

PMSA 10 ------------------- 7 615 25 11 952 6 1 928 34 20 023 402 203 407 339 191 033

Houston, TX PMSA 303 -------- 416 456 393 311 619 88 107 457 474 679 408 5 044 2 960 082 4 542 2 773 632

Huntington–Ashland,

WV–KY–OH MSA 49 ---------- 45 212 36 15 637 13 5 333 35 24 060 445 199 927 398 192 670

Huntsville, AL MSA 43 ---------- 40 625 45 24 784 12 11 564 56 44 732 449 242 168 406 234 204

Indianapolis, IN MSA 185 -------- 180 181 215 121 762 57 85 766 205 228 868 2 504 1 366 737 2 197 1 292 819

Iowa City, IA MSA 11 ----------- 9 305 15 (D) 2 (D) 22 26 585 183 84 404 144 75 674

Jackson, MI MSA 10 ----------- 13 317 16 10 001 5 5 257 19 7 310 234 91 388 189 84 424

Jackson, MS MSA 43 ---------- 52 768 52 22 287 15 9 111 58 45 193 530 269 265 511 265 889

Jackson, TN MSA 20 ----------- 13 134 19 12 151 4 2 428 14 11 360 132 76 879 127 75 174

Jacksonville, FL MSA 154 -------- 117 038 145 76 793 32 9 700 141 123 905 1 570 808 497 1 429 765 808

Jacksonville, NC MSA 16 ------- 31 870 12 5 947 3 272 24 13 999 227 95 592 171 89 529

Jamestown, NY MSA 15 -------- 7 725 16 6 028 11 8 753 19 8 225 314 80 696 248 72 301

Janesville–Beloit, WI MSA 14 ---- 12 773 17 8 439 11 7 917 17 7 181 300 105 331 213 90 370

Johnson City–Kingsport–

Bristol, TN–VA MSA 53 -------- 47 865 54 21 710 19 7 751 70 37 875 579 303 224 554 298 958

Johnstown, PA MSA 25 --------- 12 782 17 8 898 14 6 690 28 25 642 401 116 529 307 105 065

Joplin, MO MSA 20 ------------ 14 121 16 7 870 18 5 159 19 10 880 255 102 982 229 98 144 Kalamazoo–Battle Creek, MI

MSA 57 ---------------------- 55 015 43 34 443 21 10 883 57 51 020 773 324 057 673 299 620

Kansas City, MO–KS MSA 168 --- 161 056 222 132 321 54 31 643 240 295 115 2 694 1 354 645 2 373 1 289 703 Killeen–Temple, TX MSA 29 ----- 28 967 17 5 366 5 1 080 33 21 884 329 136 034 290 126 913 Knoxville, TN MSA 86 ---------- 68 545 108 81 998 31 15 719 104 81 600 1 025 612 208 964 598 080 Kokomo, IN MSA 14 ----------- 9 415 7 5 739 6 11 695 12 5 635 188 88 623 155 82 843 La Crosse, WI–MN MSA 17 ----- 12 778 15 (D) 6 (D) 18 25 402 289 102 699 192 89 249

Lafayette, LA MSA 52 ---------- 38 764 34 15 294 14 12 173 40 23 654 460 224 140 403 214 123 Lafayette, IN MSA 21 ----------- 14 899 13 (D) 6 (D) 22 18 599 287 142 993 242 129 920 Lake Charles, LA MSA 20 ------- 12 741 17 5 969 10 10 147 23 12 500 216 105 838 189 99 603 Lakeland–Winter Haven, FL

MSA 71 ---------------------- 153 940 48 23 191 19 17 475 51 40 856 522 247 282 467 237 311 Lancaster, PA MSA 70 --------- 55 572 71 70 400 25 28 492 55 42 863 671 319 929 578 301 026

Lansing–East Lansing, MI

MSA 45 ---------------------- 50 508 58 35 700 14 6 961 66 87 695 678 334 438 586 308 567 Laredo, TX MSA 12 ------------ 15 639 10 3 580 5 1 881 42 135 405 194 106 968 172 103 213 Las Cruces, NM MSA 10 -------- 7 626 9 (D) 3 (D) 17 12 111 186 90 990 173 86 465 Las Vegas, NV–AZ MSA 125 ----- 127 268 124 78 822 27 43 494 123 131 600 1 675 900 507 1 374 788 215 Lawrence, KS MSA 9 ---------- 5 602 17 9 364 5 3 775 16 13 202 146 66 791 127 62 360

Lawton, OK MSA 12 ----------- 11 365 8 2 452 4 2 530 20 11 375 198 77 679 152 72 359 Lewiston–Auburn, ME MSA 13 --- 5 834 13 6 278 6 3 990 17 7 038 156 57 570 146 55 833 Lexington, KY MSA 53 ---------- 51 211 64 35 220 23 18 553 61 60 392 751 401 301 692 389 266 Lima, OH MSA 21 -------------- 13 323 19 8 304 8 7 648 21 13 987 301 120 203 242 113 282 Lincoln, NE MSA 26 ------------ 20 151 25 14 037 12 9 833 38 41 357 436 198 834 359 178 291 Little Rock–North Little Rock,

AR MSA 79 ------------------ 76 316 83 42 220 15 9 837 83 75 152 772 405 810 728 397 259

Longview–Marshall, TX MSA 45 - 24 738 17 9 936 11 4 521 27 23 965 296 136 700 262 124 703

Los Angeles–Riverside–

Orange County, CA CMSA 1 -- 520 1 446 456 1 900 1 302 149 359 488 644 2 205 3 176 885 22 449 12 193 493 20 556 11 715 566

Los Angeles–Long Beach,

CA PMSA 885 --------------- 905 306 1 062 755 344 223 323 337 1 321 2 031 726 13 423 7 402 164 12 256 7 104 517

Orange County, CA PMSA 296 - 289 483 428 315 015 67 92 813 476 721 285 4 404 2 552 833 4 069 2 452 975

Riverside–San Bernardino,

CA PMSA 281 --------------- 199 653 327 180 375 58 54 036 307 301 001 3 674 1 770 054 3 367 1 706 981

Ventura, CA PMSA 58 -------- 52 014 83 51 415 11 18 458 101 122 873 948 468 442 864 451 093

Louisville, KY–IN MSA 97 ------- 155 679 138 87 561 25 25 317 129 112 664 1 602 867 811 1 381 824 736

Lubbock, TX MSA 30 ----------- 29 189 30 19 634 7 4 001 43 35 423 423 216 491 384 207 773

Lynchburg, VA MSA 26 --------- 24 467 19 8 374 10 3 242 24 18 076 279 119 769 274 119 289

Macon, GA MSA 54 ------------ 41 813 42 21 470 4 2 967 37 30 072 445 227 589 420 223 366 Madison, WI MSA 52 ----------- 54 720 65 53 385 22 19 528 51 132 700 829 360 148 641 318 579

See footnotes at end of table.

US–66nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 57

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Eating and drinking places

(SIC 58)mCon.

Eating places

(SIC 5812)mCon.

Restaurants

(SIC 5812 pt.)

Cafeterias

(SIC 5812 pt.)

Refreshment places

(SIC 5812 pt.)

Other eating places

(SIC 5812 pt.)

Drinking places

(SIC 5813)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Great Falls, MT MSA 72 -------- 30 595 3 (D) 74 29 983 4 (D) 67 16 928

Green Bay, WI MSA 132 --------- 67 050 1 (D) 128 68 494 32 (D) 120 19 147

Greensboro–WinstonSalem–High Point, NC MSA 716 - 345 982 30 36 174 780 408 237 168 110 187 110 17 631

Greenville, NC MSA 59 --------- 29 570 3 (D) 95 53 579 13 (D) 14 3 299

Greenville–Spartanburg–

Anderson, SC MSA 534 --------- 228 538 17 14 259 632 348 669 82 47 815 85 18 040

Harrisburg–Lebanon–Carlisle,

PA MSA 399 ------------------- 188 981 6 2 523 386 174 571 91 37 655 163 33 837 Hartford, CT MSA 857 ----------- 379 775 18 (D) 643 284 811 290 (D) 200 44 501 Hickory–Morganton, NC MSA 171 - 66 728 4 5 427 198 113 041 25 4 391 15 3 653 Honolulu, HI MSA 756 ----------- 616 745 15 11 904 714 512 674 141 163 855 239 83 293 Houma, LA MSA 72 ------------ 19 641 3 (D) 101 50 664 19 (D) 44 5 438

Houston–Galveston–Brazoria,

TX CMSA 1 ----------------- 993 1 307 547 162 189 566 2 433 1 316 923 503 241 455 586 201 219

Brazoria, TX PMSA 80 -------- 28 575 6 4 407 107 53 972 17 3 872 21 2 395

Galveston–Texas City, TX

PMSA 142 ------------------- 81 481 9 13 179 163 78 120 25 18 253 63 12 374

Houston, TX PMSA 1 -------- 771 1 197 491 147 171 980 2 163 1 184 831 461 219 330 502 186 450

Huntington–Ashland,

WV–KY–OH MSA 112 ---------- 51 217 3 4 519 255 129 225 28 7 709 47 7 257

Huntsville, AL MSA 137 ---------- 81 728 3 (D) 220 133 466 46 (D) 43 7 964

Indianapolis, IN MSA 813 -------- 504 823 42 55 879 1 109 630 649 233 101 468 307 73 918

Iowa City, IA MSA 65 ----------- 37 310 – – 65 34 810 14 3 554 39 8 730

Jackson, MI MSA 81 ----------- 36 866 2 (D) 83 40 728 23 (D) 45 6 964

Jackson, MS MSA 158 ---------- 88 045 14 13 601 284 141 450 55 22 793 19 3 376

Jackson, TN MSA 39 ----------- 32 972 2 (D) 70 36 281 16 (D) 5 1 705

Jacksonville, FL MSA 622 -------- 330 144 16 17 447 657 355 335 134 62 882 141 42 689

Jacksonville, NC MSA 69 ------- 28 881 1 (D) 93 51 772 8 (D) 56 6 063

Jamestown, NY MSA 138 -------- 39 509 2 (D) 86 28 187 22 (D) 66 8 395

Janesville–Beloit, WI MSA 109 ---- 41 978 1 (D) 88 41 945 15 (D) 87 14 961

Johnson City–Kingsport–

Bristol, TN–VA MSA 196 -------- 99 685 12 9 424 310 180 189 36 9 660 25 4 266

Johnstown, PA MSA 126 --------- 44 849 3 (D) 142 51 296 36 (D) 94 11 464

Joplin, MO MSA 79 ------------ 29 773 2 (D) 133 59 225 15 (D) 26 4 838 Kalamazoo–Battle Creek, MI

MSA 309 ---------------------- 148 486 7 6 293 296 127 383 61 17 458 100 24 437

Kansas City, MO–KS MSA 939 --- 557 138 26 29 605 1 123 580 453 285 122 507 321 64 942 Killeen–Temple, TX MSA 110 ----- 38 486 5 (D) 164 80 783 11 (D) 39 9 121 Knoxville, TN MSA 433 ---------- 304 931 18 14 578 455 264 862 58 13 709 61 14 128 Kokomo, IN MSA 55 ----------- (D) 2 (D) 85 46 722 13 (D) 33 5 780 La Crosse, WI–MN MSA 94 ----- 40 842 – – 84 43 238 14 5 169 97 13 450

Lafayette, LA MSA 151 ---------- 75 789 24 9 506 205 98 113 23 30 715 57 10 017 Lafayette, IN MSA 95 ----------- 48 778 2 (D) 115 70 797 30 (D) 45 13 073 Lake Charles, LA MSA 65 ------- 27 599 4 (D) 108 62 352 12 (D) 27 6 235 Lakeland–Winter Haven, FL

MSA 223 ---------------------- 110 037 11 13 759 195 103 652 38 9 863 55 9 971 Lancaster, PA MSA 302 --------- 177 347 5 9 797 233 102 518 38 11 364 93 18 903

Lansing–East Lansing, MI

MSA 250 ---------------------- 142 011 10 5 826 276 143 675 50 17 055 92 25 871 Laredo, TX MSA 72 ------------ 28 051 4 (D) 92 68 468 4 (D) 22 3 755 Las Cruces, NM MSA 79 -------- 33 683 1 (D) 82 42 897 11 (D) 13 4 525 Las Vegas, NV–AZ MSA 618 ----- 361 422 4 (D) 636 338 618 116 (D) 301 112 292 Lawrence, KS MSA 57 ---------- 26 062 2 (D) 59 31 490 9 (D) 19 4 431

Lawton, OK MSA 63 ----------- 19 854 2 (D) 79 39 183 8 (D) 46 5 320 Lewiston–Auburn, ME MSA 64 --- 25 931 1 (D) 64 23 601 17 (D) 10 1 737 Lexington, KY MSA 259 ---------- 165 748 7 5 960 349 192 141 77 25 417 59 12 035 Lima, OH MSA 98 -------------- 42 876 5 2 882 116 64 065 23 3 459 59 6 921 Lincoln, NE MSA 139 ------------ 79 666 4 3 790 179 86 242 37 8 593 77 20 543 Little Rock–North Little Rock,

AR MSA 267 ------------------ 149 042 24 16 772 383 217 790 54 13 655 44 8 551

Longview–Marshall, TX MSA 106 - 42 821 6 (D) 135 69 601 15 (D) 34 11 997

Los Angeles–Riverside–

Orange County, CA CMSA 9 -- 013 5 723 121 329 179 608 9 600 4 917 725 1 614 895 112 1 893 477 927

Los Angeles–Long Beach,

CA PMSA 5 --------------- 431 3 493 305 221 119 249 5 615 2 842 812 989 649 151 1 167 297 647

Orange County, CA PMSA 1 - 753 1 265 582 63 29 858 1 920 1 009 259 333 148 276 335 99 858

Riverside–San Bernardino,

CA PMSA 1 --------------- 434 752 223 38 27 544 1 677 851 321 218 75 893 307 63 073

Ventura, CA PMSA 395 -------- 212 011 7 2 957 388 214 333 74 21 792 84 17 349

Louisville, KY–IN MSA 485 ------- 306 642 24 18 294 732 434 159 140 65 641 221 43 075

Lubbock, TX MSA 131 ----------- 72 982 15 21 076 212 91 653 26 22 062 39 8 718

Lynchburg, VA MSA 119 --------- 43 526 2 (D) 122 60 893 31 (D) 5 480

Macon, GA MSA 161 ------------ 84 586 4 (D) 228 120 982 27 (D) 25 4 223 Madison, WI MSA 306 ----------- 169 931 8 4 024 283 131 253 44 13 371 188 41 569

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–67
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 58

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Drug and proprietary stores

(SIC 591)

Miscellaneous retail stores

(SIC 59 ex. 591)

Total Liquor stores

(SIC 592)

Used merchandise stores

(SIC 593)

Miscellaneous shopping goods

stores (SIC 594)

Total

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Great Falls, MT MSA 8 -------- 14 860 130 63 126 8 5 152 14 2 906 60 24 237

Green Bay, WI MSA 18 --------- 29 648 262 128 545 32 19 004 11 2 366 133 65 227

Greensboro–WinstonSalem–High Point, NC MSA 251 - 370 038 1 272 896 180 49 59 012 93 27 630 544 256 471

Greenville, NC MSA 23 --------- 27 033 126 87 085 9 7 494 15 2 423 60 28 040

Greenville–Spartanburg–

Anderson, SC MSA 214 --------- 257 614 926 430 406 70 37 549 82 18 396 382 171 616

Harrisburg–Lebanon–Carlisle,

PA MSA 125 ------------------- 198 220 716 726 967 65 69 796 37 9 087 295 146 836 Hartford, CT MSA 243 ----------- 435 481 1 553 1 172 598 281 155 656 56 12 046 576 330 550 Hickory–Morganton, NC MSA 80 - 92 593 329 153 092 16 15 284 27 5 570 127 43 450 Honolulu, HI MSA 88 ----------- 464 062 1 144 767 310 48 23 530 50 18 580 685 547 236 Houma, LA MSA 48 ------------ 54 246 153 46 481 2 (D) 10 1 621 66 18 129

Houston–Galveston–Brazoria,

TX CMSA 532 ----------------- 1 019 222 4 028 2 238 610 404 196 636 414 169 509 1 669 1 098 845

Brazoria, TX PMSA 25 -------- 37 282 156 59 854 10 4 197 17 2 315 65 25 426

Galveston–Texas City, TX

PMSA 36 ------------------- 53 589 255 102 932 30 12 017 25 6 200 119 59 533

Houston, TX PMSA 471 -------- 928 351 3 617 2 075 824 364 180 422 372 160 994 1 485 1 013 886

Huntington–Ashland,

WV–KY–OH MSA 73 ---------- 117 169 336 134 254 26 15 387 23 3 229 132 55 321

Huntsville, AL MSA 41 ---------- 61 496 365 160 287 24 19 919 31 (D) 156 73 197

Indianapolis, IN MSA 245 -------- 539 685 1 846 1 621 566 252 171 315 113 29 909 727 370 128

Iowa City, IA MSA 18 ----------- 29 656 133 75 633 3 1 439 16 6 210 55 29 093

Jackson, MI MSA 22 ----------- 50 906 128 74 191 11 5 070 6 801 55 28 217

Jackson, MS MSA 85 ---------- 111 655 437 212 617 50 21 285 42 7 980 170 87 716

Jackson, TN MSA 19 ----------- 21 633 122 56 696 12 8 014 11 1 506 46 17 936

Jacksonville, FL MSA 141 -------- 274 614 1 181 633 790 88 71 940 137 30 624 479 228 630

Jacksonville, NC MSA 16 ------- 21 018 126 35 649 8 3 282 25 4 503 42 14 316

Jamestown, NY MSA 38 -------- 43 640 163 60 778 20 5 611 7 1 484 64 18 898

Janesville–Beloit, WI MSA 27 ---- 43 980 147 68 292 16 6 816 10 2 343 55 26 326

Johnson City–Kingsport–

Bristol, TN–VA MSA 106 -------- 117 797 456 192 637 39 21 096 20 3 998 190 72 009

Johnstown, PA MSA 54 --------- 72 806 241 117 095 31 16 387 10 1 550 86 30 443

Joplin, MO MSA 17 ------------ 22 205 195 81 248 23 6 027 15 3 773 70 39 058 Kalamazoo–Battle Creek, MI

MSA 79 ---------------------- 111 685 459 247 949 27 16 662 31 4 504 204 114 817

Kansas City, MO–KS MSA 268 --- 409 541 2 081 1 144 831 262 124 939 144 42 073 804 419 094 Killeen–Temple, TX MSA 24 ----- 25 487 239 70 243 13 7 791 35 8 347 94 29 752 Knoxville, TN MSA 151 ---------- 199 050 951 497 573 69 42 571 66 16 601 486 215 953 Kokomo, IN MSA 19 ----------- 50 472 138 46 949 17 8 391 8 1 743 53 17 858 La Crosse, WI–MN MSA 15 ----- 17 866 168 152 461 9 7 121 11 1 024 78 28 984

Lafayette, LA MSA 98 ---------- 108 971 293 103 589 7 1 297 14 3 826 136 58 000 Lafayette, IN MSA 30 ----------- 53 880 219 102 327 24 13 940 13 2 274 95 51 908 Lake Charles, LA MSA 41 ------- 44 365 154 55 172 7 3 230 13 3 094 55 26 847 Lakeland–Winter Haven, FL

MSA 62 ---------------------- 129 407 436 160 794 40 21 871 38 10 709 177 66 048 Lancaster, PA MSA 70 --------- 124 850 547 406 955 44 40 086 36 16 126 271 129 254

Lansing–East Lansing, MI

MSA 68 ---------------------- 87 867 453 290 907 21 10 847 22 9 092 212 134 365 Laredo, TX MSA 16 ------------ 24 980 188 165 236 9 19 290 20 14 191 110 113 099 Las Cruces, NM MSA 12 -------- 22 003 138 56 987 13 10 629 10 1 643 56 20 057 Las Vegas, NV–AZ MSA 106 ----- 279 595 1 111 1 021 913 51 43 337 78 35 489 529 381 029 Lawrence, KS MSA 13 ---------- 11 286 140 63 748 21 11 568 13 2 552 56 30 998

Lawton, OK MSA 18 ----------- 13 910 116 43 215 7 3 140 25 3 873 46 21 048 Lewiston–Auburn, ME MSA 17 --- 24 328 121 255 310 3 (D) 9 (D) 46 (D)

Lexington, KY MSA 93 ---------- 130 280 622 326 362 93 59 051 53 11 156 263 151 086 Lima, OH MSA 38 -------------- 52 143 180 93 974 24 11 059 7 620 74 34 178 Lincoln, NE MSA 30 ------------ 66 811 318 270 152 50 26 123 18 4 317 129 61 246 Little Rock–North Little Rock,

AR MSA 113 ------------------ 113 478 701 312 852 109 67 911 65 13 645 254 124 571

Longview–Marshall, TX MSA 48 - 58 717 249 115 772 43 28 944 23 4 414 93 33 622

Los Angeles–Riverside–

Orange County, CA CMSA 2 -- 177 4 369 708 14 682 9 484 764 1 852 925 740 753 305 837 6 551 4 282 181

Los Angeles–Long Beach,

CA PMSA 1 --------------- 340 2 615 243 8 700 5 893 432 1 255 615 315 454 204 278 3 825 2 628 070

Orange County, CA PMSA 402 - 800 852 2 960 1 805 378 263 149 411 137 56 693 1 363 932 805

Riverside–San Bernardino,

CA PMSA 336 --------------- 725 203 2 303 1 308 682 256 119 279 118 35 187 1 042 548 145

Ventura, CA PMSA 99 -------- 228 410 719 477 272 78 41 735 44 9 679 321 173 161

Louisville, KY–IN MSA 187 ------- 333 771 1 192 624 566 182 91 652 107 47 832 462 249 891

Lubbock, TX MSA 38 ----------- 41 861 300 190 327 25 59 955 28 11 179 116 67 585

Lynchburg, VA MSA 44 --------- 60 181 217 416 009 10 (D) 15 (D) 90 34 254

Macon, GA MSA 60 ------------ 78 776 378 154 100 51 28 086 39 7 904 147 67 112 Madison, WI MSA 64 ----------- 99 975 577 443 216 64 34 905 44 12 332 271 162 876

See footnotes at end of table.

US–68nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 59

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Miscellaneous retail stores

(SIC 59 ex. 591)mCon.

Miscellaneous shopping goods stores

(SIC 594)mCon.

Sporting goods stores and

bicycle shops

(SIC 5941)

Book stores

(SIC 5942)

Jewelry stores

(SIC 5944)

Other miscellaneous

shopping goods stores

(SIC 5943, 5, 6, 7, 8, 9)

Nonstore retailers (SIC 596)Fuel dealers

(SIC 598)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Great Falls, MT MSA 14 -------- 10 503 3 (D) 12 (D) 31 8 855 15 22 168 1 (D)

Green Bay, WI MSA 33 --------- 21 192 15 5 263 28 14 542 57 24 230 24 22 166 3 (D)

Greensboro–WinstonSalem–High Point, NC MSA 97 - 46 115 64 34 914 135 66 406 248 109 036 132 381 405 54 72 269

Greenville, NC MSA 9 --------- 2 956 7 7 181 15 6 159 29 11 744 10 37 652 2 (D)

Greenville–Spartanburg–

Anderson, SC MSA 48 --------- 26 146 34 20 163 111 52 284 189 73 023 80 94 842 46 41 900

Harrisburg–Lebanon–Carlisle,

PA MSA 61 ------------------- 28 889 26 16 167 68 28 317 140 73 463 75 339 726 66 106 059 Hartford, CT MSA 114 ----------- 73 454 74 57 688 113 72 564 275 126 844 143 313 228 151 231 990 Hickory–Morganton, NC MSA 24 - 9 835 10 3 747 44 14 121 49 15 747 56 54 883 19 16 484 Honolulu, HI MSA 90 ----------- 86 099 33 32 517 272 212 629 290 215 991 79 58 212 2 (D)

Houma, LA MSA 13 ------------ 3 488 4 1 395 17 6 177 32 7 069 15 10 381 4 (D)

Houston–Galveston–Brazoria,

TX CMSA 319 ----------------- 323 171 159 118 469 423 228 537 768 428 668 324 339 519 55 34 124

Brazoria, TX PMSA 15 -------- 8 552 8 3 497 17 5 474 25 7 903 11 14 543 8 4 291

Galveston–Texas City, TX

PMSA 26 ------------------- 21 036 8 6 523 29 12 366 56 19 608 10 3 363 3 1 097

Houston, TX PMSA 278 -------- 293 583 143 108 449 377 210 697 687 401 157 303 321 613 44 28 736

Huntington–Ashland,

WV–KY–OH MSA 21 ---------- 7 743 12 5 426 28 15 697 71 26 455 30 19 640 7 (D)

Huntsville, AL MSA 31 ---------- 13 445 19 14 460 38 13 516 68 31 776 34 21 587 13 11 431

Indianapolis, IN MSA 128 -------- 81 404 69 36 645 171 82 913 359 169 166 203 867 231 27 27 468

Iowa City, IA MSA 10 ----------- 6 693 8 9 412 14 4 846 23 8 142 15 19 866 5 3 021

Jackson, MI MSA 17 ----------- 11 593 5 2 269 8 5 040 25 9 315 12 18 557 5 7 385

Jackson, MS MSA 24 ---------- 14 126 14 9 658 45 22 182 87 41 750 42 33 842 12 24 754

Jackson, TN MSA 10 ----------- 3 458 6 3 119 9 5 313 21 6 046 12 15 898 3 3 596

Jacksonville, FL MSA 75 -------- 47 707 50 28 554 120 53 124 234 99 245 115 176 084 48 30 292

Jacksonville, NC MSA 9 ------- 1 916 5 1 519 12 6 288 16 4 593 9 4 803 3 (D)

Jamestown, NY MSA 15 -------- 4 663 6 3 407 10 3 405 33 7 423 17 16 144 5 7 552

Janesville–Beloit, WI MSA 15 ---- 5 020 8 3 016 10 5 726 22 12 564 16 14 188 10 8 126

Johnson City–Kingsport–

Bristol, TN–VA MSA 37 -------- 12 237 19 7 565 43 18 337 91 33 870 51 49 652 15 9 396

Johnstown, PA MSA 15 --------- 6 338 5 1 275 21 9 299 45 13 531 20 15 064 23 38 289

Joplin, MO MSA 12 ------------ 4 711 5 3 589 13 4 594 40 26 164 14 9 483 13 8 890 Kalamazoo–Battle Creek, MI

MSA 41 ---------------------- 29 634 23 15 831 41 18 450 99 50 902 37 36 628 22 24 291

Kansas City, MO–KS MSA 161 --- 81 233 101 52 587 157 97 733 385 187 541 228 345 883 31 17 274 Killeen–Temple, TX MSA 13 ----- 3 635 10 3 091 21 7 731 50 15 295 14 5 378 4 2 403 Knoxville, TN MSA 53 ---------- 35 276 61 37 532 78 38 781 294 104 364 81 149 919 12 10 603 Kokomo, IN MSA 6 ----------- (D) 3 (D) 14 6 224 30 7 868 9 (D) 3 (D)

La Crosse, WI–MN MSA 22 ----- 8 398 8 3 110 14 7 752 34 9 724 20 90 230 9 11 518

Lafayette, LA MSA 20 ---------- 9 846 10 5 241 34 13 387 72 29 526 22 9 650 6 4 104 Lafayette, IN MSA 15 ----------- 6 176 15 20 447 19 7 244 46 18 041 17 13 527 7 7 198 Lake Charles, LA MSA 4 ------- 2 680 5 2 512 14 6 607 32 15 048 16 6 342 5 1 563 Lakeland–Winter Haven, FL

MSA 31 ---------------------- 10 165 11 5 960 51 19 962 84 29 961 25 15 850 9 8 507 Lancaster, PA MSA 37 --------- 17 408 23 17 713 37 17 450 174 76 683 40 41 884 27 123 909

Lansing–East Lansing, MI

MSA 41 ---------------------- 27 843 26 34 617 40 19 258 105 52 647 46 64 649 17 23 200 Laredo, TX MSA 10 ------------ (D) 2 (D) 31 42 297 67 54 374 10 3 046 – – Las Cruces, NM MSA 9 -------- 3 334 7 3 067 11 3 518 29 10 138 14 4 159 5 (D)

Las Vegas, NV–AZ MSA 76 ----- 61 464 39 27 007 118 73 601 296 218 957 120 433 946 12 8 393 Lawrence, KS MSA 9 ---------- 3 042 9 14 646 8 2 697 30 10 613 16 9 418 1 (D)

Lawton, OK MSA 5 ----------- 1 637 7 2 495 13 5 488 21 11 428 10 6 944 3 (D)

Lewiston–Auburn, ME MSA 12 --- 4 187 6 (D) 7 3 889 21 6 817 10 (D) 13 32 618 Lexington, KY MSA 52 ---------- 40 118 30 32 132 49 27 184 132 51 652 52 50 131 10 12 150 Lima, OH MSA 11 -------------- 4 383 6 3 121 13 6 241 44 20 433 19 22 926 3 (D)

Lincoln, NE MSA 34 ------------ 15 667 13 12 089 20 10 495 62 22 995 29 148 088 3 (D)

Little Rock–North Little Rock,

AR MSA 55 ------------------ 34 788 33 13 018 48 23 252 118 53 513 85 55 241 12 6 824

Longview–Marshall, TX MSA 18 - 4 382 4 3 875 31 9 490 40 15 875 20 29 907 9 3 575

Los Angeles–Riverside–

Orange County, CA CMSA 1 -- 056 1 000 952 724 537 386 1 485 782 607 3 286 1 961 236 1 218 2 292 975 76 (D)

Los Angeles–Long Beach,

CA PMSA 553 --------------- 542 337 454 383 902 942 527 933 1 876 1 173 898 720 1 473 737 33 26 705

Orange County, CA PMSA 249 - 284 049 134 85 547 287 136 849 693 426 360 278 323 537 7 9 660

Riverside–San Bernardino,

CA PMSA 187 --------------- 131 054 103 50 978 200 92 619 552 273 494 153 305 979 34 33 148

Ventura, CA PMSA 67 -------- 43 512 33 16 959 56 25 206 165 87 484 67 189 722 2 (D)

Louisville, KY–IN MSA 92 ------- 51 820 42 30 626 117 53 659 211 113 786 103 95 579 21 19 230

Lubbock, TX MSA 18 ----------- 8 426 15 10 712 27 12 586 56 35 861 39 23 745 5 1 913

Lynchburg, VA MSA 15 --------- 5 892 8 2 673 18 7 837 49 17 852 21 (D) 12 (D)

Macon, GA MSA 18 ------------ 9 178 17 8 404 30 16 532 82 32 998 14 10 951 8 8 419 Madison, WI MSA 59 ----------- 44 665 36 34 185 44 26 567 132 57 459 54 173 745 9 13 729

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–69
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 60

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Miscellaneous retail stores

(SIC 59 ex. 591)mCon.

Florists

(SIC 5992)

Tobacco stores and stands

(SIC 5993)

News dealers and newsstands

(SIC 5994)

Optical goods stores

(SIC 5995)

Miscellaneous retail stores,

n.e.c.

(SIC 5999)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Great Falls, MT MSA 9 -------- 2 454 – – 1 (D) 6 979 16 (D)

Green Bay, WI MSA 15 --------- 2 178 – – 3 (D) 8 3 419 33 (D)

Greensboro–WinstonSalem–High Point, NC MSA 133 - 27 714 10 4 051 9 2 796 60 15 912 188 48 920

Greenville, NC MSA 12 --------- 3 191 – – – – 6 2 400 12 (D)

Greenville–Spartanburg–

Anderson, SC MSA 100 --------- 15 080 2 (D) 3 785 44 14 293 117 (D)

Harrisburg–Lebanon–Carlisle,

PA MSA 41 ------------------- 15 084 4 (D) 13 4 227 37 10 305 83 (D)

Hartford, CT MSA 120 ----------- 27 090 7 2 346 14 (D) 60 32 288 145 (D)

Hickory–Morganton, NC MSA 39 - 5 486 1 (D) 1 (D) 10 3 472 33 (D)

Honolulu, HI MSA 102 ----------- 27 924 – – 2 (D) 50 25 165 126 (D)

Houma, LA MSA 19 ------------ 2 393 – – – – 10 2 978 27 (D)

Houston–Galveston–Brazoria,

TX CMSA 328 ----------------- 67 916 19 1 864 17 5 569 247 91 474 551 233 154

Brazoria, TX PMSA 23 -------- 3 121 – – – – 8 3 413 14 2 548

Galveston–Texas City, TX

PMSA 20 ------------------- 4 465 – – – – 15 4 374 33 11 883

Houston, TX PMSA 285 -------- 60 330 19 1 864 17 5 569 224 83 687 504 218 723

Huntington–Ashland,

WV–KY–OH MSA 45 ---------- 8 243 9 6 975 1 (D) 18 7 097 45 11 852

Huntsville, AL MSA 33 ---------- 7 767 1 (D) – – 20 7 480 53 (D)

Indianapolis, IN MSA 170 -------- 37 948 5 1 351 12 3 477 90 27 808 247 84 931

Iowa City, IA MSA 12 ----------- 3 359 1 (D) – – 7 2 468 19 (D)

Jackson, MI MSA 10 ----------- 3 062 1 (D) 1 (D) 7 3 686 20 (D)

Jackson, MS MSA 45 ---------- 7 685 2 (D) 1 (D) 19 6 556 54 (D)

Jackson, TN MSA 11 ----------- 2 299 1 (D) – – 2 (D) 24 (D)

Jacksonville, FL MSA 85 -------- 21 432 4 453 7 1 383 48 18 564 170 54 388

Jacksonville, NC MSA 18 ------- 2 692 – – – – 6 1 064 15 (D)

Jamestown, NY MSA 20 -------- 3 779 1 (D) 4 875 8 1 908 17 (D)

Janesville–Beloit, WI MSA 15 ---- 3 903 – – – – 6 2 201 19 4 389

Johnson City–Kingsport–

Bristol, TN–VA MSA 63 -------- 10 947 5 6 737 4 1 528 19 5 912 50 11 362

Johnstown, PA MSA 24 --------- 2 788 – – 8 (D) 7 1 640 32 (D)

Joplin, MO MSA 17 ------------ 2 734 3 (D) – – 8 3 018 32 (D)

Kalamazoo–Battle Creek, MI

MSA 40 ---------------------- 9 118 2 (D) 4 1 228 26 13 523 66 (D)

Kansas City, MO–KS MSA 186 --- 36 601 13 7 556 4 1 382 123 39 959 286 110 070 Killeen–Temple, TX MSA 30 ----- 5 218 – – 2 (D) 24 6 678 23 (D)

Knoxville, TN MSA 73 ---------- 17 087 3 822 3 (D) 34 11 708 124 (D)

Kokomo, IN MSA 14 ----------- 2 905 – – – – 9 2 821 25 (D)

La Crosse, WI–MN MSA 13 ----- 3 183 – – – – 8 1 906 20 8 495

Lafayette, LA MSA 34 ---------- 5 479 2 (D) 4 631 21 7 223 47 (D)

Lafayette, IN MSA 17 ----------- 3 627 2 (D) 1 (D) 13 3 440 30 5 776 Lake Charles, LA MSA 19 ------- 3 627 1 (D) – – 10 3 327 28 (D)

Lakeland–Winter Haven, FL

MSA 53 ---------------------- 7 937 2 (D) 2 (D) 17 7 022 73 22 111 Lancaster, PA MSA 39 --------- 9 862 5 2 905 6 2 038 17 10 226 62 30 665

Lansing–East Lansing, MI

MSA 45 ---------------------- 9 150 1 (D) 1 (D) 23 9 512 65 (D)

Laredo, TX MSA 10 ------------ 1 693 1 (D) 1 (D) 10 2 538 17 (D)

Las Cruces, NM MSA 13 -------- 2 281 1 (D) – – 7 2 126 19 (D)

Las Vegas, NV–AZ MSA 87 ----- 18 391 9 4 591 7 (D) 42 13 724 176 (D)

Lawrence, KS MSA 9 ---------- 1 929 1 (D) – – 5 623 18 (D)

Lawton, OK MSA 7 ----------- 2 740 2 (D) – – 5 962 11 (D)

Lewiston–Auburn, ME MSA 15 --- (D) 1 (D) 2 (D) 3 (D) 19 (D)

Lexington, KY MSA 49 ---------- 11 489 2 (D) 1 (D) 29 10 309 70 20 229 Lima, OH MSA 19 -------------- 3 645 – – – – 7 3 205 27 (D)

Lincoln, NE MSA 22 ------------ 5 784 2 (D) 1 (D) 18 9 264 46 (D)

Little Rock–North Little Rock,

AR MSA 62 ------------------ 14 702 1 (D) 3 836 25 7 020 85 (D)

Longview–Marshall, TX MSA 25 - 4 142 – – – – 9 4 051 27 7 117

Los Angeles–Riverside–

Orange County, CA CMSA 1 -- 245 303 981 60 (D) 70 34 119 537 218 870 2 320 1 025 394

Los Angeles–Long Beach,

CA PMSA 681 --------------- 185 124 39 10 372 47 27 030 337 106 985 1 309 615 816

Orange County, CA PMSA 264 - 63 740 11 6 129 10 3 657 100 34 491 527 225 255

Riverside–San Bernardino,

CA PMSA 225 --------------- 43 714 9 5 422 8 1 974 74 70 692 384 145 142

Ventura, CA PMSA 75 -------- 11 403 1 (D) 5 1 458 26 6 702 100 39 181

Louisville, KY–IN MSA 86 ------- 23 092 4 937 3 1 424 60 38 423 164 56 506

Lubbock, TX MSA 23 ----------- 5 925 2 (D) – – 18 6 954 44 (D)

Lynchburg, VA MSA 26 --------- (D) – – 1 (D) 18 (D) 24 (D)

Macon, GA MSA 40 ------------ 8 337 1 (D) – – 22 7 109 56 (D)

Madison, WI MSA 34 ----------- 9 182 2 (D) 2 (D) 22 7 111 75 28 845

See footnotes at end of table.

US–70nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 61

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Building materials and garden supplies stores

(SIC 52)

Retail trade

Total

Building materials and

supply stores

(SIC 521, 3)

Hardware stores

(SIC 525)

Retail nurseries, lawn

and garden supply stores

(SIC 526)

Manufactured (mobile)

home dealers

(SIC 527)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Mansfield, OH MSA 1 --------- 063 1 217 624 57 70 479 29 48 089 15 (D) 11 10 121 2 (D)

McAllen–Edinburg–Mission, TX

MSA 1 ---------------------- 964 2 779 373 92 137 987 56 104 898 18 19 529 8 3 048 10 10 512

Medford–Ashland, OR MSA 1 -- 095 1 449 048 67 87 016 34 54 796 15 10 046 7 3 127 11 19 047

Melbourne–Titusville–Palm

Bay, FL MSA 2 -------------- 536 3 915 909 111 158 586 56 130 523 23 12 717 25 9 125 7 6 221

Memphis, TN–AR–MS MSA 5 -- 555 7 811 144 192 289 305 110 186 928 48 79 380 25 14 352 9 8 645

Merced, CA MSA 739 ----------- 844 312 32 39 990 17 27 983 8 5 224 5 (D) 2 (D)

Miami–Fort Lauderdale, FL

CMSA 22 -------------------- 380 32 181 812 691 1 244 460 378 1 079 236 198 110 996 102 (D) 13 (D)

Fort Lauderdale, FL PMSA 9 - 203 14 539 331 294 539 856 174 477 074 64 32 939 49 (D) 7 (D)

Miami, FL PMSA 13 ---------- 177 17 642 481 397 704 604 204 602 162 134 78 057 53 18 038 6 6 347

Milwaukee–Racine, WI

CMSA 9 -------------------- 220 12 746 634 388 749 923 181 541 550 131 124 333 70 81 283 6 2 757

Milwaukee–Waukesha, WI

PMSA 8 ------------------- 135 11 479 311 339 652 093 162 479 084 110 106 635 61 63 617 6 2 757

Racine, WI PMSA 1 --------- 085 1 267 323 49 97 830 19 62 466 21 17 698 9 17 666 – –

Minneapolis–St. Paul, MN–WI

MSA 14 ---------------------- 398 22 602 942 645 1 377 941 287 1 113 988 226 156 593 112 93 188 20 14 172

Mobile, AL MSA 2 ------------ 954 3 596 272 125 212 621 58 167 201 31 22 061 26 10 936 10 12 423

Modesto, CA MSA 1 ---------- 898 2 852 605 93 173 304 48 128 761 26 32 703 14 8 376 5 3 464

Monroe, LA MSA 917 ------------ 1 196 127 48 56 852 24 42 484 8 (D) 13 6 198 3 (D)

Montgomery, AL MSA 1 ------- 809 2 336 527 89 122 348 54 103 371 19 7 997 9 3 243 7 7 737

Muncie, IN MSA 696 ------------ 855 789 32 44 166 14 34 624 10 4 726 7 (D) 1 (D)

Myrtle Beach, SC MSA 1 ------ 893 1 748 511 70 95 605 35 72 935 17 9 583 10 2 577 8 10 510

Naples, FL MSA 1 ------------ 529 1 783 047 67 114 307 39 88 260 15 15 940 11 (D) 2 (D)

Nashville, TN MSA 6 ---------- 495 9 089 153 285 453 712 142 327 740 71 57 301 50 34 690 22 33 981

New London–Norwich, CT–RI

MSA 2 ---------------------- 135 2 390 683 82 122 701 41 92 446 22 17 671 16 (D) 3 (D)

New Orleans, LA MSA 7 ------- 319 9 265 062 270 367 491 139 303 019 90 45 342 38 14 307 3 4 823

New York–Northern New

Jersey–Long Island,

NY–NJ–CT–PA CMSA 120 ------ 935 140 681 060 4 172 5 943 736 2 114 4 755 316 1 393 746 194 648 433 557 17 8 669

Bergen–Passaic, NJ PMSA 8 - 614 12 616 027 300 508 966 153 428 284 92 45 171 54 (D) 1 (D)

Bridgeport, CT PMSA 2 ------ 528 3 454 178 107 224 803 46 173 311 32 (D) 27 29 579 2 (D)

Danbury, CT PMSA 1 -------- 456 2 016 465 79 99 179 40 73 980 21 14 748 18 10 451 – – Dutchess County, NY

PMSA 1 ------------------- 728 1 960 521 83 104 318 38 79 034 18 8 973 24 14 783 3 1 528 Jersey City, NJ PMSA 3 ----- 586 3 333 988 77 68 059 42 55 548 34 (D) 1 (D) – –

Middlesex–Somerset–

Hunterdon, NJ PMSA 6 ----- 308 9 068 305 222 456 236 122 397 127 45 29 899 55 29 210 – – Monmouth–Ocean, NJ

PMSA 6 ------------------- 411 8 330 523 244 425 911 132 365 008 54 (D) 56 30 788 2 (D)

Nassau–Suffolk, NY PMSA 18 - 933 24 547 439 784 1 365 987 426 1 135 351 210 130 820 148 99 816 – – New Haven–Meriden, CT

PMSA 3 ------------------- 282 4 031 877 140 262 769 78 222 969 33 17 575 29 22 225 – – New York, NY PMSA 48 ------ 671 46 186 949 1 376 1 338 307 614 942 216 649 310 892 111 (D) 2 (D)

Newark, NJ PMSA 11 -------- 276 14 009 931 430 604 144 246 498 245 114 63 460 68 (D) 2 (D)

Newburgh, NY–PA PMSA 2 -- 188 2 524 933 108 176 402 53 148 025 31 14 200 20 12 391 4 1 786 Stamford–Norwalk, CT

PMSA 2 ------------------- 659 4 528 913 101 163 470 57 120 063 29 32 149 14 (D) 1 (D)

Trenton, NJ PMSA 2 -------- 023 2 657 944 68 92 306 37 75 887 18 9 024 13 7 395 – – Waterbury, CT PMSA 1 ------ 272 1 413 067 53 52 879 30 40 268 13 7 113 10 5 498 – –

Norfolk–Virginia Beach–

Newport News, VA–NC

MSA 8 ---------------------- 131 10 377 429 277 478 328 141 401 982 72 33 717 56 36 329 8 6 300 Ocala, FL MSA 1 ------------- 263 1 552 749 94 110 617 32 55 010 30 9 590 12 10 401 20 35 616 Odessa–Midland, TX MSA 1 --- 493 1 797 095 51 66 743 23 39 355 9 10 948 13 7 993 6 8 447 Oklahoma City, OK MSA 6 ----- 118 7 637 661 248 308 539 136 240 537 46 28 238 54 23 381 12 16 383 Omaha, NE–IA MSA 3 --------- 950 5 191 177 158 189 844 70 132 174 46 29 575 35 20 360 7 7 735

Orlando, FL MSA 8 ----------- 240 12 342 771 367 583 238 175 458 088 83 40 388 77 44 758 32 40 004

Owensboro, KY MSA 589 -------- 673 355 27 43 499 17 32 310 3 (D) 4 (D) 3 5 092

Panama City, FL MSA 1 ------- 138 1 224 342 49 67 161 27 47 999 7 2 587 8 3 288 7 13 287

Parkersburg–Marietta, WV–OH

MSA 941 ---------------------- 1 139 635 51 61 859 31 50 450 10 3 849 7 (D) 3 (D)

Pensacola, FL MSA 2 --------- 112 2 678 089 89 115 839 49 96 692 22 7 511 13 5 488 5 6 148

Peoria–Pekin, IL MSA 2 -------- 070 2 723 764 97 126 615 45 95 767 35 21 720 15 (D) 2 (D)

Philadelphia–Wilmington–

Atlantic City, PA–NJ–DE–MD

CMSA 35 -------------------- 113 46 632 771 1 377 1 842 218 747 1 447 541 363 (D) 252 205 271 15 (D)

Atlantic–Cape May, NJ

PMSA 3 ------------------- 158 3 012 861 107 116 327 56 93 508 32 14 050 18 (D) 1 (D)

Philadelphia, PA–NJ PMSA 27 - 948 37 902 620 1 097 1 465 555 596 1 142 701 295 134 442 197 177 290 9 11 122

Vineland–Millville–

Bridgeton, NJ PMSA 782 ------ 937 469 30 40 426 21 35 216 6 (D) 3 (D) – –

Wilmington–Newark,

DE–MD PMSA 3 ----------- 225 4 779 821 143 219 910 74 176 116 30 21 540 34 17 166 5 5 088

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–71
TIPS [UPF] D_SIPES# 8D [UFCB,D_SIPES] UFCEN 3/ 7/ 95 10:25 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 3/ 1/ 95 07:48:00 TAPE: NOreel FRAME: 4

TSF:R_US_TIPS92.DAT;1 3/ 1/ 95 07:48:53 UTF:R_US_TIPS93.DAT;1 3/ 1/ 95 07:48:53 META:R_US_TIPS96.DAT;1 3/ 1/ 95 07:54:15

Table 5. Establishments and Sales for Metropolitan Areas: 1992mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

General merchandise stores

(SIC 53)

Total

Department stores

(incl. leased depts.)1 2

(SIC 531)

Department stores

(excl. leased depts.)1

(SIC 531)

Variety stores

(SIC 533)

Miscellaneous general

merchandise stores

(SIC 539)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Mansfield, OH MSA 30 --------- 188 988 15 168 756 15 164 833 14 (D) 1 (D)

McAllen–Edinburg–Mission, TX

MSA 61 ---------------------- 594 036 18 402 420 18 395 717 23 18 712 20 179 607

Medford–Ashland, OR MSA 26 -- 243 936 8 144 657 8 142 944 5 (D) 13 (D)

Melbourne–Titusville–Palm

Bay, FL MSA 56 -------------- 486 299 29 406 992 29 399 083 23 (D) 4 (D)

Memphis, TN–AR–MS MSA 156 -- 1 111 118 42 847 792 42 829 919 44 35 588 70 245 611

Merced, CA MSA 17 ----------- 91 650 8 90 029 8 87 399 7 (D) 2 (D)

Miami–Fort Lauderdale, FL

CMSA 345 -------------------- 3 256 763 93 2 163 333 93 2 102 860 115 136 764 137 1 017 139

Fort Lauderdale, FL PMSA 124 - 1 337 458 49 916 386 49 890 903 41 33 245 34 413 310

Miami, FL PMSA 221 ---------- 1 919 305 44 1 246 947 44 1 211 957 74 103 519 103 603 829

Milwaukee–Racine, WI

CMSA 158 -------------------- 1 591 450 78 r1 340 422 78 (D) 61 (D) 19 (D)

Milwaukee–Waukesha, WI

PMSA 139 ------------------- 1 412 710 67 1 190 086 67 1 156 191 54 45 131 18 211 388

Racine, WI PMSA 19 --------- 178 740 11 r150 336 11 (D) 7 (D) 1 (D)

Minneapolis–St. Paul, MN–WI

MSA 253 ---------------------- 3 020 286 110 2 629 155 110 2 552 481 55 42 699 88 425 106

Mobile, AL MSA 76 ------------ 505 865 20 411 457 20 399 814 43 28 630 13 77 421

Modesto, CA MSA 36 ---------- 453 445 15 322 928 15 315 149 10 6 128 11 132 168

Monroe, LA MSA 22 ------------ 255 767 10 194 693 10 191 783 10 (D) 2 (D)

Montgomery, AL MSA 43 ------- 335 621 13 259 765 13 254 838 18 (D) 12 (D)

Muncie, IN MSA 16 ------------ 138 632 9 136 230 9 133 686 5 (D) 2 (D)

Myrtle Beach, SC MSA 46 ------ 215 342 13 158 326 13 156 296 16 10 327 17 48 719

Naples, FL MSA 17 ------------ 193 660 9 143 374 9 139 089 4 3 987 4 50 584

Nashville, TN MSA 143 ---------- 1 244 015 55 990 410 55 960 643 61 (D) 27 (D)

New London–Norwich, CT–RI

MSA 37 ---------------------- 248 783 16 219 959 16 216 274 13 (D) 8 (D)

New Orleans, LA MSA 155 ------- 1 290 849 52 1 012 227 52 988 417 55 53 445 48 248 987

New York–Northern New

Jersey–Long Island,

NY–NJ–CT–PA CMSA 2 ------ 238 13 939 402 395 r10 839 381 395 (D) 890 (D) 953 (D)

Bergen–Passaic, NJ PMSA 132 - 1 399 816 31 1 075 961 31 1 039 035 51 56 256 50 304 525

Bridgeport, CT PMSA 49 ------ 445 223 20 345 599 20 334 536 17 (D) 12 (D)

Danbury, CT PMSA 20 -------- 338 232 9 r250 531 9 (D) 6 (D) 5 (D)

Dutchess County, NY

PMSA 35 ------------------- 253 426 15 202 323 15 197 469 7 5 563 13 50 394 Jersey City, NJ PMSA 84 ----- 251 431 8 191 090 8 184 552 40 38 970 36 27 909

Middlesex–Somerset–

Hunterdon, NJ PMSA 110 ----- 1 142 848 31 851 444 31 832 284 42 32 308 37 278 256 Monmouth–Ocean, NJ

PMSA 110 ------------------- 868 341 37 682 966 37 664 583 32 33 542 41 170 216 Nassau–Suffolk, NY PMSA 232 - 2 395 094 61 1 833 272 61 1 796 846 82 91 175 89 507 073 New Haven–Meriden, CT

PMSA 46 ------------------- 421 883 22 336 925 22 325 343 11 4 451 13 92 089 New York, NY PMSA 1 ------ 107 4 412 884 65 3 287 261 65 3 203 181 477 507 282 565 702 421

Newark, NJ PMSA 176 -------- 1 025 342 45 911 521 45 874 684 63 70 036 68 80 622 Newburgh, NY–PA PMSA 46 -- 267 000 20 242 812 20 238 451 18 13 256 8 15 293 Stamford–Norwalk, CT

PMSA 36 ------------------- 268 680 9 228 333 9 225 230 22 23 530 5 19 920 Trenton, NJ PMSA 32 -------- 290 786 12 251 878 12 245 740 14 19 546 6 25 500 Waterbury, CT PMSA 23 ------ 158 416 10 147 465 10 143 187 8 5 239 5 9 990

Norfolk–Virginia Beach–

Newport News, VA–NC

MSA 215 ---------------------- 1 292 727 81 970 132 81 947 675 91 64 920 43 280 132 Ocala, FL MSA 27 ------------- 260 705 11 172 929 11 168 164 11 5 830 5 86 711 Odessa–Midland, TX MSA 29 --- 308 710 13 221 505 13 218 352 4 (D) 12 (D)

Oklahoma City, OK MSA 109 ----- 1 115 985 47 892 207 47 879 161 39 (D) 23 (D)

Omaha, NE–IA MSA 72 --------- 692 020 39 578 577 39 561 404 16 7 360 17 123 256

Orlando, FL MSA 153 ----------- 1 504 988 63 1 142 567 63 1 117 988 46 38 073 44 348 927

Owensboro, KY MSA 20 -------- 124 430 7 107 922 7 106 348 9 (D) 4 (D)

Panama City, FL MSA 23 ------- 221 277 11 r175 657 11 (D) 8 (D) 4 (D)

Parkersburg–Marietta, WV–OH

MSA 27 ---------------------- 177 169 12 161 904 12 158 623 12 (D) 3 (D)

Pensacola, FL MSA 47 --------- 441 526 18 355 806 18 345 468 18 (D) 11 (D)

Peoria–Pekin, IL MSA 48 -------- 397 265 20 312 891 20 304 542 18 (D) 10 (D)

Philadelphia–Wilmington–

Atlantic City, PA–NJ–DE–MD

CMSA 768 -------------------- 5 224 552 231 4 209 219 231 4 105 746 319 289 311 218 829 495

Atlantic–Cape May, NJ

PMSA 73 ------------------- 339 564 19 262 407 19 255 970 32 18 491 22 65 103

Philadelphia, PA–NJ PMSA 600 - 4 112 372 176 3 345 685 176 3 259 825 251 234 475 173 618 072

Vineland–Millville–

Bridgeton, NJ PMSA 19 ------ 93 529 7 85 995 7 82 956 6 5 589 6 4 984

Wilmington–Newark,

DE–MD PMSA 76 ----------- 679 087 29 515 132 29 506 995 30 30 756 17 141 336

See footnotes at end of table.

US–72nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 63

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Food stores

(SIC 54)

Total Grocery stores

(SIC 541)

Meat and fish (seafood)

markets

(SIC 542)

Retail bakeries

(SIC 546)

Other food stores

(SIC 543, 4, 5, 9)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Mansfield, OH MSA 105 --------- 224 897 78 215 448 8 6 846 10 1 375 9 1 228

McAllen–Edinburg–Mission, TX

MSA 251 ---------------------- 590 789 187 566 717 15 10 587 27 4 494 22 8 991

Medford–Ashland, OR MSA 124 -- 227 174 94 221 321 2 (D) 11 (D) 17 2 800

Melbourne–Titusville–Palm

Bay, FL MSA 276 -------------- 612 578 205 592 056 12 5 965 28 5 536 31 9 021

Memphis, TN–AR–MS MSA 676 -- 1 329 011 559 1 278 736 30 13 486 40 11 479 47 25 310

Merced, CA MSA 114 ----------- 212 962 94 208 682 1 (D) 8 (D) 11 2 820

Miami–Fort Lauderdale, FL

CMSA 2 -------------------- 392 4 987 380 1 636 4 667 784 155 114 555 313 83 017 288 122 024

Fort Lauderdale, FL PMSA 888 - 2 148 291 606 2 007 297 61 62 654 92 28 365 129 49 975

Miami, FL PMSA 1 ---------- 504 2 839 089 1 030 2 660 487 94 51 901 221 54 652 159 72 049

Milwaukee–Racine, WI

CMSA 866 -------------------- 2 373 234 566 2 249 432 50 32 288 127 49 714 123 41 800

Milwaukee–Waukesha, WI

PMSA 738 ------------------- 2 111 856 483 2 006 690 39 25 159 113 42 456 103 37 551

Racine, WI PMSA 128 --------- 261 378 83 242 742 11 7 129 14 7 258 20 4 249

Minneapolis–St. Paul, MN–WI

MSA 1 ---------------------- 316 3 659 100 802 3 465 788 74 53 325 247 95 492 193 44 495

Mobile, AL MSA 369 ------------ 739 680 289 719 691 33 8 365 16 3 127 31 8 497

Modesto, CA MSA 253 ---------- 611 389 183 583 868 10 7 195 36 11 255 24 9 071

Monroe, LA MSA 107 ------------ 215 963 91 212 832 1 (D) 8 (D) 7 1 744

Montgomery, AL MSA 192 ------- 402 236 158 395 127 10 2 180 11 2 162 13 2 767

Muncie, IN MSA 60 ------------ 160 889 46 155 184 1 (D) 3 (D) 10 (D)

Myrtle Beach, SC MSA 152 ------ 305 354 115 296 344 6 2 284 17 3 785 14 2 941

Naples, FL MSA 152 ------------ 354 849 112 342 449 5 1 533 11 1 723 24 9 144

Nashville, TN MSA 723 ---------- 1 544 524 600 1 517 611 10 2 495 54 11 362 59 13 056

New London–Norwich, CT–RI

MSA 219 ---------------------- 494 181 142 464 897 16 10 130 30 8 962 31 10 192

New Orleans, LA MSA 1 ------- 116 1 990 740 838 1 892 606 68 35 753 127 36 668 83 25 713

New York–Northern New

Jersey–Long Island,

NY–NJ–CT–PA CMSA 18 ------ 120 27 783 981 11 490 25 110 624 1 629 920 639 2 708 853 842 2 293 898 876

Bergen–Passaic, NJ PMSA 1 - 108 2 293 250 673 2 135 445 77 34 519 213 68 729 145 54 557

Bridgeport, CT PMSA 310 ------ 661 018 197 612 703 19 10 619 63 28 135 31 9 561 Danbury, CT PMSA 148 -------- 445 923 99 431 265 4 1 280 29 8 075 16 5 303 Dutchess County, NY

PMSA 225 ------------------- 460 095 171 442 077 9 5 761 25 6 905 20 5 352 Jersey City, NJ PMSA 545 ----- 694 843 364 620 234 53 32 190 83 25 690 45 16 729

Middlesex–Somerset–

Hunterdon, NJ PMSA 815 ----- 1 839 056 578 1 759 554 34 13 143 117 42 533 86 23 826 Monmouth–Ocean, NJ

PMSA 794 ------------------- 1 904 860 512 1 803 035 58 27 883 122 37 789 102 36 153 Nassau–Suffolk, NY PMSA 2 - 781 4 469 865 1 728 4 079 388 253 126 589 445 133 344 355 130 544 New Haven–Meriden, CT

PMSA 373 ------------------- 853 135 241 799 226 24 14 378 76 28 997 32 10 534 New York, NY PMSA 8 ------ 652 8 876 547 5 382 7 489 188 938 544 909 1 160 346 014 1 172 496 436

Newark, NJ PMSA 1 -------- 436 3 050 697 894 2 828 601 118 73 967 240 83 620 184 64 509 Newburgh, NY–PA PMSA 288 -- 613 395 218 590 849 12 6 241 33 8 922 25 7 383 Stamford–Norwalk, CT

PMSA 262 ------------------- 706 221 173 662 901 9 7 975 39 13 217 41 22 128 Trenton, NJ PMSA 229 -------- 544 840 150 513 247 13 8 485 41 13 923 25 9 185 Waterbury, CT PMSA 154 ------ 370 236 110 342 911 8 12 700 22 7 949 14 6 676

Norfolk–Virginia Beach–

Newport News, VA–NC

MSA 974 ---------------------- 1 970 374 750 1 899 281 55 30 677 79 19 396 90 21 020 Ocala, FL MSA 150 ------------- 295 589 117 285 087 7 4 251 11 2 745 15 3 506 Odessa–Midland, TX MSA 193 --- 381 285 155 372 504 4 727 13 2 867 21 5 187 Oklahoma City, OK MSA 659 ----- 1 287 388 515 1 257 844 12 4 594 73 12 835 59 12 115 Omaha, NE–IA MSA 323 --------- 957 306 201 931 391 16 6 738 43 7 710 63 11 467

Orlando, FL MSA 834 ----------- 2 136 253 657 2 063 979 21 23 419 55 20 050 101 28 805

Owensboro, KY MSA 63 -------- 136 590 51 134 302 1 (D) 7 1 201 4 (D)

Panama City, FL MSA 150 ------- 254 677 126 245 122 10 6 840 6 1 329 8 1 386

Parkersburg–Marietta, WV–OH

MSA 115 ---------------------- 232 954 98 228 737 1 (D) 9 2 854 7 (D)

Pensacola, FL MSA 215 --------- 465 436 173 453 261 12 3 812 16 3 611 14 4 752

Peoria–Pekin, IL MSA 166 -------- 430 574 105 407 801 10 11 079 27 7 176 24 4 518

Philadelphia–Wilmington–

Atlantic City, PA–NJ–DE–MD

CMSA 4 -------------------- 433 9 129 180 2 849 8 459 857 338 245 182 559 166 340 687 257 801

Atlantic–Cape May, NJ

PMSA 417 ------------------- 646 779 245 597 850 21 10 669 59 12 979 92 25 281

Philadelphia, PA–NJ PMSA 3 - 541 7 361 425 2 265 6 808 403 289 211 497 439 130 985 548 210 540

Vineland–Millville–

Bridgeton, NJ PMSA 124 ------ 249 085 89 235 484 6 4 706 16 5 427 13 3 468

Wilmington–Newark,

DE–MD PMSA 351 ----------- 871 891 250 818 120 22 18 310 45 16 949 34 18 512

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–73
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 64

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Automotive dealers

(SIC 55 ex. 554)

Total New and used car dealers

(SIC 551)

Used car dealers

(SIC 552)

Auto and home supply stores

(SIC 553)

Miscellaneous automotive

dealers

(SIC 555, 6, 7, 9)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Mansfield, OH MSA 80 --------- 217 400 21 165 640 25 22 190 29 19 038 5 10 532

McAllen–Edinburg–Mission, TX

MSA 176 ---------------------- 450 766 21 315 741 61 45 896 77 66 878 17 22 251

Medford–Ashland, OR MSA 76 -- 283 727 13 217 704 17 16 843 28 20 846 18 28 334

Melbourne–Titusville–Palm

Bay, FL MSA 176 -------------- 1 448 083 40 1 350 957 32 25 810 74 44 072 30 27 244

Memphis, TN–AR–MS MSA 392 -- 1 903 940 76 1 665 376 93 55 283 184 127 766 39 55 515

Merced, CA MSA 61 ----------- 160 941 14 124 142 10 4 915 31 23 366 6 8 518

Miami–Fort Lauderdale, FL

CMSA 1 -------------------- 460 9 313 353 189 8 061 880 321 373 770 677 435 604 273 442 099

Fort Lauderdale, FL PMSA 625 - 5 258 927 89 4 695 950 128 166 341 237 173 108 171 223 528

Miami, FL PMSA 835 ---------- 4 054 426 100 3 365 930 193 207 429 440 262 496 102 218 571

Milwaukee–Racine, WI

CMSA 449 -------------------- 2 909 373 139 2 562 761 106 82 221 131 144 786 73 119 605

Milwaukee–Waukesha, WI

PMSA 375 ------------------- 2 631 255 119 2 352 000 93 69 880 104 112 248 59 97 127

Racine, WI PMSA 74 --------- 278 118 20 210 761 13 12 341 27 32 538 14 22 478

Minneapolis–St. Paul, MN–WI

MSA 721 ---------------------- 4 865 961 219 4 316 524 77 100 716 314 236 201 111 212 520

Mobile, AL MSA 268 ------------ 739 377 35 589 723 48 38 310 145 75 891 40 35 453

Modesto, CA MSA 139 ---------- 575 518 26 436 277 30 41 139 65 59 613 18 38 489

Monroe, LA MSA 75 ------------ 261 402 11 218 616 22 16 575 32 18 283 10 7 928

Montgomery, AL MSA 147 ------- 557 021 21 452 466 37 32 305 73 44 691 16 27 559

Muncie, IN MSA 49 ------------ 184 491 10 141 894 16 16 603 18 19 407 5 6 587

Myrtle Beach, SC MSA 97 ------ 270 215 25 227 607 11 3 385 41 22 265 20 16 958

Naples, FL MSA 82 ------------ 307 324 14 255 007 10 7 313 33 17 599 25 27 405

Nashville, TN MSA 455 ---------- 2 212 437 90 1 851 998 145 161 081 183 133 743 37 65 615

New London–Norwich, CT–RI

MSA 138 ---------------------- 458 859 44 378 014 27 14 041 44 40 416 23 26 388

New Orleans, LA MSA 354 ------- 1 708 249 79 1 491 801 30 24 014 196 151 557 49 40 877

New York–Northern New

Jersey–Long Island,

NY–NJ–CT–PA CMSA 4 ------ 415 22 929 638 1 448 20 491 035 747 620 550 1 746 1 277 497 474 540 556

Bergen–Passaic, NJ PMSA 389 - 2 498 923 153 2 298 884 75 66 430 137 106 490 24 27 119

Bridgeport, CT PMSA 123 ------ 632 869 37 540 453 24 37 476 50 43 440 12 11 500 Danbury, CT PMSA 69 -------- 223 440 24 192 107 8 4 209 27 19 826 10 7 298 Dutchess County, NY

PMSA 86 ------------------- 387 885 33 350 995 14 7 747 33 25 706 6 3 437 Jersey City, NJ PMSA 118 ----- 523 478 49 472 902 19 13 698 47 34 993 3 1 885

Middlesex–Somerset–

Hunterdon, NJ PMSA 263 ----- 1 700 015 101 1 554 248 30 21 384 110 93 899 22 30 484 Monmouth–Ocean, NJ

PMSA 351 ------------------- 1 822 262 109 1 585 836 26 22 578 131 107 571 85 106 277 Nassau–Suffolk, NY PMSA 823 - 4 513 707 244 4 029 377 121 119 532 332 226 841 126 137 957 New Haven–Meriden, CT

PMSA 167 ------------------- 663 336 52 568 043 36 25 097 56 43 710 23 26 486 New York, NY PMSA 1 ------ 079 4 766 593 291 4 188 886 236 156 679 484 338 772 68 82 256

Newark, NJ PMSA 548 -------- 3 140 842 206 2 878 884 100 83 374 204 137 319 38 41 265 Newburgh, NY–PA PMSA 134 -- 482 344 47 405 191 21 23 866 48 32 481 18 20 806 Stamford–Norwalk, CT

PMSA 110 ------------------- 805 951 50 745 949 5 6 286 30 25 068 25 28 648 Trenton, NJ PMSA 80 -------- 520 436 30 462 845 11 21 535 32 25 277 7 10 779 Waterbury, CT PMSA 75 ------ 247 557 22 216 435 21 10 659 25 16 104 7 4 359

Norfolk–Virginia Beach–

Newport News, VA–NC

MSA 536 ---------------------- 2 122 627 102 1 747 360 132 162 512 227 145 028 75 67 727 Ocala, FL MSA 102 ------------- 285 793 12 219 222 29 22 994 47 27 169 14 16 408 Odessa–Midland, TX MSA 107 --- 400 632 18 326 933 26 19 529 50 34 929 13 19 241 Oklahoma City, OK MSA 422 ----- 2 019 577 95 1 750 512 88 79 376 191 115 966 48 73 723 Omaha, NE–IA MSA 257 --------- 1 177 223 52 1 038 810 49 40 378 121 64 824 35 33 211

Orlando, FL MSA 623 ----------- 3 036 759 109 2 519 747 174 170 694 256 186 521 84 159 797

Owensboro, KY MSA 40 -------- 122 056 7 84 789 9 (D) 17 11 166 7 (D)

Panama City, FL MSA 85 ------- 238 491 12 177 373 19 18 555 32 18 787 22 23 776

Parkersburg–Marietta, WV–OH

MSA 76 ---------------------- 242 842 21 195 341 18 16 705 28 19 422 9 11 374

Pensacola, FL MSA 175 --------- 694 485 25 544 660 49 63 146 72 48 387 29 38 292

Peoria–Pekin, IL MSA 131 -------- 720 779 47 651 560 32 13 058 39 40 034 13 16 127

Philadelphia–Wilmington–

Atlantic City, PA–NJ–DE–MD

CMSA 1 -------------------- 523 9 211 092 535 8 232 880 256 249 664 576 486 241 156 242 307

Atlantic–Cape May, NJ

PMSA 107 ------------------- 542 949 38 471 749 9 4 728 32 27 195 28 39 277

Philadelphia, PA–NJ PMSA 1 - 200 7 552 025 435 6 804 666 211 216 563 463 387 251 91 143 545

Vineland–Millville–

Bridgeton, NJ PMSA 66 ------ 193 542 17 153 708 18 12 751 23 16 713 8 10 370

Wilmington–Newark,

DE–MD PMSA 150 ----------- 922 576 45 802 757 18 15 622 58 55 082 29 49 115

See footnotes at end of table.

US–74nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 65

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Gasoline service stations

(SIC 554)

Apparel and accessory stores

(SIC 56)

Total

Men’s and boys’ clothing and

accessory stores

(SIC 561)

Women’s clothing and specialty stores

(SIC 562, 3)

Total Women’s clothing stores

(SIC 562)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Mansfield, OH MSA 99 --------- 165 496 90 39 827 5 2 808 40 17 831 36 16 813

McAllen–Edinburg–Mission, TX

MSA 144 ---------------------- 139 241 253 252 225 20 24 829 105 73 644 82 66 476

Medford–Ashland, OR MSA 73 -- 103 987 83 40 396 5 2 324 40 14 689 36 14 112

Melbourne–Titusville–Palm

Bay, FL MSA 186 -------------- 241 476 192 120 715 19 6 060 74 31 744 58 28 900

Memphis, TN–AR–MS MSA 408 -- 681 420 653 438 012 87 68 128 288 178 399 245 160 618

Merced, CA MSA 60 ----------- 103 214 52 25 979 5 (D) 20 7 634 18 (D)

Miami–Fort Lauderdale, FL

CMSA 1 -------------------- 176 1 688 588 3 087 2 373 773 349 216 176 1 282 857 366 1 021 751 694

Fort Lauderdale, FL PMSA 484 - 716 023 1 125 813 016 118 68 153 497 267 374 387 230 552

Miami, FL PMSA 692 ---------- 972 565 1 962 1 560 757 231 148 023 785 589 992 634 521 142

Milwaukee–Racine, WI

CMSA 615 -------------------- 857 387 870 563 773 96 67 944 359 199 714 293 179 557

Milwaukee–Waukesha, WI

PMSA 543 ------------------- 774 972 778 518 782 85 63 169 321 182 864 261 163 535

Racine, WI PMSA 72 --------- 82 415 92 44 991 11 4 775 38 16 850 32 16 022

Minneapolis–St. Paul, MN–WI

MSA 1 ---------------------- 090 1 732 859 1 438 1 087 146 147 103 407 599 393 730 521 361 839

Mobile, AL MSA 261 ------------ 308 279 261 189 008 29 16 586 117 54 529 98 49 893

Modesto, CA MSA 112 ---------- 199 646 155 98 148 14 10 018 56 29 513 53 (D)

Monroe, LA MSA 57 ------------ 62 430 117 63 034 11 6 637 50 26 741 44 24 589

Montgomery, AL MSA 199 ------- 213 933 176 134 827 19 9 873 72 36 434 67 33 438

Muncie, IN MSA 53 ------------ 71 067 55 23 781 4 1 660 24 10 987 21 (D)

Myrtle Beach, SC MSA 99 ------ 89 297 317 203 826 29 17 639 103 57 802 89 52 531

Naples, FL MSA 59 ------------ 97 059 223 140 193 22 10 234 114 60 026 93 51 548

Nashville, TN MSA 475 ---------- 705 896 713 440 972 81 47 717 295 179 384 245 163 469

New London–Norwich, CT–RI

MSA 152 ---------------------- 177 114 196 134 844 17 9 532 75 41 127 63 36 672

New Orleans, LA MSA 409 ------- 588 732 830 530 301 97 66 754 304 208 949 247 186 548

New York–Northern New

Jersey–Long Island,

NY–NJ–CT–PA CMSA 6 ------ 367 7 441 548 13 814 12 130 183 1 865 (D) 5 860 4 791 948 4 762 (D)

Bergen–Passaic, NJ PMSA 634 - 675 841 1 038 1 155 113 123 115 365 457 449 224 385 402 027

Bridgeport, CT PMSA 183 ------ 252 460 266 244 809 28 17 833 103 78 189 86 58 785 Danbury, CT PMSA 86 -------- 122 535 172 167 748 27 17 573 72 56 262 53 49 743 Dutchess County, NY

PMSA 99 ------------------- 110 531 181 125 305 18 10 401 78 39 361 66 34 927 Jersey City, NJ PMSA 193 ----- 235 200 570 428 616 89 51 538 249 192 076 200 162 907

Middlesex–Somerset–

Hunterdon, NJ PMSA 439 ----- 568 699 728 739 242 88 75 031 308 265 580 249 229 161 Monmouth–Ocean, NJ

PMSA 389 ------------------- 471 503 681 560 300 75 48 818 258 193 303 217 172 607 Nassau–Suffolk, NY PMSA 1 - 126 1 361 692 1 977 1 746 261 239 197 938 891 651 751 742 578 845 New Haven–Meriden, CT

PMSA 230 ------------------- 292 086 318 243 108 42 23 271 131 76 100 110 70 829 New York, NY PMSA 1 ------ 629 1 794 369 5 883 5 106 849 871 726 675 2 458 2 145 225 1 943 1 825 912

Newark, NJ PMSA 834 -------- 886 056 1 121 871 250 152 103 394 495 363 514 413 332 663 Newburgh, NY–PA PMSA 150 -- 174 883 228 174 961 32 19 440 85 58 166 73 52 702 Stamford–Norwalk, CT

PMSA 147 ------------------- 202 344 313 326 314 35 44 849 142 141 553 115 123 159 Trenton, NJ PMSA 138 -------- 163 786 235 164 071 34 19 973 91 62 367 75 (D)

Waterbury, CT PMSA 90 ------ 129 563 103 76 236 12 (D) 42 19 277 35 18 083

Norfolk–Virginia Beach–

Newport News, VA–NC

MSA 500 ---------------------- 647 846 914 597 349 118 81 413 341 200 611 287 177 397 Ocala, FL MSA 138 ------------- 175 450 90 41 722 12 4 737 40 15 674 36 14 696 Odessa–Midland, TX MSA 116 --- 140 816 163 81 408 13 5 075 76 30 814 65 28 532 Oklahoma City, OK MSA 429 ----- 485 870 559 370 583 59 34 791 211 104 435 174 92 514 Omaha, NE–IA MSA 332 --------- 388 247 386 253 626 49 28 035 171 86 920 135 74 741

Orlando, FL MSA 581 ----------- 800 493 811 696 628 74 54 464 309 215 409 256 188 949

Owensboro, KY MSA 37 -------- 40 142 63 23 500 7 2 469 29 10 635 24 9 686

Panama City, FL MSA 53 ------- 43 463 132 59 095 7 3 254 39 16 724 32 15 022

Parkersburg–Marietta, WV–OH

MSA 87 ---------------------- 106 997 75 47 842 7 (D) 29 12 971 25 11 962

Pensacola, FL MSA 178 --------- 196 500 173 93 278 11 6 381 80 35 338 67 30 272

Peoria–Pekin, IL MSA 175 -------- 226 170 156 95 807 10 7 082 70 37 726 59 33 104

Philadelphia–Wilmington–

Atlantic City, PA–NJ–DE–MD

CMSA 1 -------------------- 994 2 616 213 3 795 2 817 889 442 333 726 1 511 1 020 413 1 256 (D)

Atlantic–Cape May, NJ

PMSA 156 ------------------- 165 553 371 216 946 50 23 044 133 77 675 110 70 534

Philadelphia, PA–NJ PMSA 1 - 599 2 057 898 3 047 2 342 255 347 285 262 1 243 851 311 1 028 759 094

Vineland–Millville–

Bridgeton, NJ PMSA 49 ------ 64 440 74 38 719 14 5 259 20 8 933 18 (D)

Wilmington–Newark,

DE–MD PMSA 190 ----------- 328 322 303 219 969 31 20 161 115 82 494 100 74 372

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–75
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 66

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Apparel and accessory stores

(SIC 56)mCon.

Women’s clothing and specialty stores (SIC 562, 3)mCon.

Women’s accessory and specialty stores

(SIC 563)

Family clothing stores

(SIC 565)

Shoe stores

(SIC 566)

Other apparel and accessory stores (SIC 564, 9)

Furniture and homefurnishings

stores (SIC 57)

Total

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Mansfield, OH MSA 4 --------- 1 018 7 7 809 32 10 198 6 1 181 56 44 188

McAllen–Edinburg–Mission, TX

MSA 23 ---------------------- 7 168 49 103 653 58 41 995 21 8 104 134 129 760

Medford–Ashland, OR MSA 4 -- 577 11 13 506 21 8 157 6 1 720 83 55 676

Melbourne–Titusville–Palm

Bay, FL MSA 16 -------------- 2 844 22 34 593 54 18 903 23 29 415 220 147 394

Memphis, TN–AR–MS MSA 43 -- 17 781 63 85 143 166 87 232 49 19 110 449 413 580

Merced, CA MSA 2 ----------- (D) 9 9 089 16 6 971 2 (D) 45 36 933

Miami–Fort Lauderdale, FL

CMSA 261 -------------------- 105 672 354 698 146 753 433 063 349 169 022 1 884 1 938 817

Fort Lauderdale, FL PMSA 110 - 36 822 119 283 242 263 139 017 128 55 230 791 680 593

Miami, FL PMSA 151 ---------- 68 850 235 414 904 490 294 046 221 113 792 1 093 1 258 224

Milwaukee–Racine, WI

CMSA 66 -------------------- 20 157 87 131 142 240 130 451 88 34 522 689 733 805

Milwaukee–Waukesha, WI

PMSA 60 ------------------- 19 329 78 124 287 211 115 268 83 33 194 618 670 257

Racine, WI PMSA 6 --------- 828 9 6 855 29 15 183 5 1 328 71 63 548

Minneapolis–St. Paul, MN–WI

MSA 78 ---------------------- 31 891 213 360 076 339 164 673 140 65 260 1 107 1 171 488

Mobile, AL MSA 19 ------------ 4 636 34 64 026 66 49 512 15 4 355 217 147 021

Modesto, CA MSA 3 ---------- (D) 20 26 056 51 25 822 14 6 739 168 145 732

Monroe, LA MSA 6 ------------ 2 152 9 9 959 30 14 303 17 5 394 68 52 014

Montgomery, AL MSA 5 ------- 2 996 22 64 296 52 20 800 11 3 424 142 126 028

Muncie, IN MSA 3 ------------ (D) 4 2 481 18 7 891 5 762 49 39 644

Myrtle Beach, SC MSA 14 ------ 5 271 63 45 713 46 21 419 76 61 253 119 82 786

Naples, FL MSA 21 ------------ 8 478 25 42 246 34 18 578 28 9 109 193 174 286

Nashville, TN MSA 50 ---------- 15 915 63 94 067 199 91 613 75 28 191 510 466 553

New London–Norwich, CT–RI

MSA 12 ---------------------- 4 455 40 54 021 47 21 637 17 8 527 158 102 375

New Orleans, LA MSA 57 ------- 22 401 96 117 083 252 108 255 81 29 260 420 454 102

New York–Northern New

Jersey–Long Island,

NY–NJ–CT–PA CMSA 1 ------ 098 (D) 1 376 (D) 3 297 1 917 331 1 416 958 744 8 487 8 640 950

Bergen–Passaic, NJ PMSA 72 - 47 197 100 357 136 248 159 414 110 73 974 628 784 249

Bridgeport, CT PMSA 17 ------ 19 404 27 96 022 84 38 861 24 13 904 166 145 804 Danbury, CT PMSA 19 -------- 6 519 18 53 292 44 28 322 11 12 299 129 96 385 Dutchess County, NY

PMSA 12 ------------------- 4 434 23 46 978 46 19 629 16 8 936 109 68 855 Jersey City, NJ PMSA 49 ----- 29 169 64 71 690 120 79 571 48 33 741 221 284 927

Middlesex–Somerset–

Hunterdon, NJ PMSA 59 ----- 36 419 76 226 506 188 113 017 68 59 108 492 633 458 Monmouth–Ocean, NJ

PMSA 41 ------------------- 20 696 85 183 437 175 89 228 88 45 514 481 432 847 Nassau–Suffolk, NY PMSA 149 - 72 906 187 486 991 453 269 889 207 139 692 1 354 1 451 268 New Haven–Meriden, CT

PMSA 21 ------------------- 5 271 40 95 200 82 32 949 23 15 588 231 179 144 New York, NY PMSA 515 ------ 319 313 576 991 958 1 364 810 994 614 431 997 3 253 3 176 927

Newark, NJ PMSA 82 -------- 30 851 84 176 414 276 157 538 114 70 390 792 821 782 Newburgh, NY–PA PMSA 12 -- 5 464 27 51 022 66 32 587 18 13 746 129 91 492 Stamford–Norwalk, CT

PMSA 27 ------------------- 18 394 37 79 529 63 39 914 36 20 469 264 246 353 Trenton, NJ PMSA 16 -------- (D) 21 29 388 61 34 420 28 17 923 155 179 536 Waterbury, CT PMSA 7 ------ 1 194 11 (D) 27 10 998 11 1 463 83 47 923

Norfolk–Virginia Beach–

Newport News, VA–NC

MSA 54 ---------------------- 23 214 102 165 037 261 119 278 92 31 010 631 577 037 Ocala, FL MSA 4 ------------- 978 5 (D) 26 10 211 7 (D) 110 69 006 Odessa–Midland, TX MSA 11 --- 2 282 16 20 848 38 19 386 20 5 285 100 60 814 Oklahoma City, OK MSA 37 ----- 11 921 85 149 093 147 62 982 57 19 282 399 373 112 Omaha, NE–IA MSA 36 --------- 12 179 33 84 919 104 43 122 29 10 630 220 367 577

Orlando, FL MSA 53 ----------- 26 460 126 232 203 208 138 529 94 56 023 680 541 056

Owensboro, KY MSA 5 -------- 949 3 (D) 15 7 916 9 (D) 44 28 386

Panama City, FL MSA 7 ------- 1 702 16 12 697 29 10 622 41 15 798 86 51 701

Parkersburg–Marietta, WV–OH

MSA 4 ---------------------- 1 009 9 19 430 28 10 043 2 (D) 64 51 889

Pensacola, FL MSA 13 --------- 5 066 13 28 176 50 17 184 19 6 199 177 136 752

Peoria–Pekin, IL MSA 11 -------- 4 622 18 26 917 44 18 767 14 5 315 139 113 814

Philadelphia–Wilmington–

Atlantic City, PA–NJ–DE–MD

CMSA 255 -------------------- (D) 387 715 167 1 048 524 818 407 223 765 2 418 2 243 295

Atlantic–Cape May, NJ

PMSA 23 ------------------- 7 141 49 60 716 78 37 012 61 18 499 161 134 861

Philadelphia, PA–NJ PMSA 215 - 92 217 297 594 864 857 433 280 303 177 538 1 953 1 802 377

Vineland–Millville–

Bridgeton, NJ PMSA 2 ------ (D) 7 11 142 26 10 557 7 2 828 47 29 871

Wilmington–Newark,

DE–MD PMSA 15 ----------- 8 122 34 48 445 87 43 969 36 24 900 257 276 186

See footnotes at end of table.

US–76nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 67

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Furniture and homefurnishings stores

(SIC 57)mCon.

Furniture stores (SIC 5712)Homefurnishings stores

(SIC 5713, 4, 9)

Household appliance stores

(SIC 572)

Radio, television,

computer, and music stores

(SIC 573)

Eating and drinking places

(SIC 58)

Total Eating places

(SIC 5812)

Total

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Mansfield, OH MSA 20 --------- 9 926 11 7 841 7 3 353 18 23 068 325 121 258 252 112 427

McAllen–Edinburg–Mission, TX

MSA 42 ---------------------- 55 734 25 16 560 10 7 485 57 49 981 468 211 205 407 202 828

Medford–Ashland, OR MSA 23 -- 17 475 27 11 735 8 6 243 25 20 223 340 121 724 294 112 811

Melbourne–Titusville–Palm

Bay, FL MSA 65 -------------- 43 626 64 28 788 19 6 552 72 68 428 735 355 296 636 333 509

Memphis, TN–AR–MS MSA 123 -- 147 550 150 98 518 26 21 429 150 146 083 1 329 755 466 1 244 734 532

Merced, CA MSA 12 ----------- 8 736 11 6 441 5 4 721 17 17 035 214 76 110 188 73 562

Miami–Fort Lauderdale, FL

CMSA 596 -------------------- 569 752 562 365 394 102 120 785 624 882 886 5 649 3 065 037 5 169 2 905 964

Fort Lauderdale, FL PMSA 258 - 236 038 274 166 502 48 82 419 211 195 634 2 575 1 327 156 2 320 1 240 917

Miami, FL PMSA 338 ---------- 333 714 288 198 892 54 38 366 413 687 252 3 074 1 737 881 2 849 1 665 047

Milwaukee–Racine, WI

CMSA 191 -------------------- 221 818 220 (D) 58 (D) 220 344 768 3 024 1 228 837 2 210 1 104 175

Milwaukee–Waukesha, WI

PMSA 169 ------------------- 199 899 196 113 983 54 35 408 199 320 967 2 676 1 112 682 1 957 1 000 079

Racine, WI PMSA 22 --------- 21 919 24 (D) 4 (D) 21 23 801 348 116 155 253 104 096

Minneapolis–St. Paul, MN–WI

MSA 294 ---------------------- 408 225 383 231 129 89 52 431 341 479 703 4 001 2 274 391 3 509 2 122 845

Mobile, AL MSA 81 ------------ 51 919 58 37 807 20 8 927 58 48 368 716 336 856 614 321 374

Modesto, CA MSA 56 ---------- 49 181 56 31 887 7 8 341 49 56 323 540 247 090 488 236 820

Monroe, LA MSA 17 ------------ 17 509 23 11 141 5 4 084 23 19 280 212 107 073 193 104 418

Montgomery, AL MSA 54 ------- 51 325 37 24 069 13 13 667 38 36 967 413 216 173 381 210 533

Muncie, IN MSA 17 ------------ 12 782 12 (D) 4 (D) 16 9 082 199 91 260 157 83 906

Myrtle Beach, SC MSA 40 ------ 25 870 47 40 159 7 1 674 25 15 083 614 329 787 556 303 776

Naples, FL MSA 74 ------------ 85 972 79 54 965 11 11 187 29 22 162 371 194 659 356 191 728

Nashville, TN MSA 148 ---------- 144 425 143 98 695 50 50 492 169 172 941 1 665 1 007 385 1 576 991 224

New London–Norwich, CT–RI

MSA 41 ---------------------- 29 405 55 23 029 17 10 876 45 39 065 615 251 633 536 234 635

New Orleans, LA MSA 119 ------- 165 472 120 74 927 31 71 140 150 142 563 2 133 1 161 394 1 821 1 072 171

New York–Northern New

Jersey–Long Island,

NY–NJ–CT–PA CMSA 2 ------ 397 (D) 2 893 2 077 314 586 (D) 2 611 2 962 932 33 648 14 194 310 29 388 13 416 849

Bergen–Passaic, NJ PMSA 178 - 225 991 234 229 508 41 30 756 175 297 994 2 230 958 580 1 963 911 446

Bridgeport, CT PMSA 46 ------ 61 295 57 25 967 14 18 704 49 39 838 695 300 438 610 287 226 Danbury, CT PMSA 32 -------- 19 344 44 29 556 9 8 913 44 38 572 402 145 678 376 141 591 Dutchess County, NY

PMSA 33 ------------------- 26 949 29 14 179 10 9 673 37 18 054 513 172 660 466 165 920 Jersey City, NJ PMSA 74 ----- (D) 70 48 186 14 (D) 63 81 197 1 021 306 678 739 272 005

Middlesex–Somerset–

Hunterdon, NJ PMSA 113 ----- 149 603 182 204 246 35 98 083 162 181 526 1 737 748 109 1 507 694 808 Monmouth–Ocean, NJ

PMSA 131 ------------------- 123 808 191 106 283 34 63 372 125 139 384 1 793 728 070 1 615 674 282 Nassau–Suffolk, NY PMSA 392 - 465 656 481 379 970 93 270 054 388 335 588 4 963 1 975 493 4 307 1 877 819 New Haven–Meriden, CT

PMSA 59 ------------------- 44 988 72 29 005 29 26 556 71 78 595 929 379 001 835 356 673 New York, NY PMSA 932 ------ 838 015 1 041 663 012 204 338 110 1 076 1 337 790 13 975 6 198 947 12 331 5 891 895

Newark, NJ PMSA 227 -------- 310 517 264 181 040 63 109 618 238 220 607 3 115 1 339 829 2 623 1 251 393 Newburgh, NY–PA PMSA 43 -- 33 441 41 21 372 11 10 994 34 25 685 635 209 412 536 197 591 Stamford–Norwalk, CT

PMSA 75 ------------------- 59 768 116 89 853 10 14 428 63 82 304 692 350 685 665 338 482 Trenton, NJ PMSA 37 -------- 39 116 49 41 474 11 27 937 58 71 009 581 262 426 504 245 224 Waterbury, CT PMSA 25 ------ 11 489 22 13 663 8 7 982 28 14 789 367 118 304 311 110 494

Norfolk–Virginia Beach–

Newport News, VA–NC

MSA 204 ---------------------- 202 355 197 182 352 36 12 501 194 179 829 2 260 1 107 171 2 176 1 082 606 Ocala, FL MSA 39 ------------- 32 173 35 13 133 8 3 297 28 20 403 290 134 342 265 130 289 Odessa–Midland, TX MSA 26 --- 19 841 19 8 287 16 4 726 39 27 960 393 172 163 364 164 306 Oklahoma City, OK MSA 80 ----- 127 751 121 66 449 46 40 816 152 138 096 1 918 899 960 1 775 872 551 Omaha, NE–IA MSA 41 --------- 224 612 66 43 386 18 8 397 95 91 182 1 321 545 247 1 018 490 867

Orlando, FL MSA 205 ----------- 183 036 207 115 724 46 29 792 222 212 504 2 192 1 648 264 1 990 1 588 165

Owensboro, KY MSA 15 -------- 9 527 11 7 248 5 4 672 13 6 939 142 68 187 127 65 331

Panama City, FL MSA 35 ------- 21 619 21 (D) 3 (D) 27 16 411 332 166 052 301 155 413

Parkersburg–Marietta, WV–OH

MSA 22 ---------------------- 21 266 12 11 385 7 2 711 23 16 527 258 106 918 219 102 800

Pensacola, FL MSA 61 --------- 41 844 48 28 643 16 21 554 52 44 711 556 276 624 475 251 943

Peoria–Pekin, IL MSA 39 -------- 39 964 39 21 434 20 12 980 41 39 436 688 263 371 538 242 554

Philadelphia–Wilmington–

Atlantic City, PA–NJ–DE–MD

CMSA 700 -------------------- (D) 726 452 762 227 (D) 765 826 795 10 132 4 397 246 8 317 4 035 910

Atlantic–Cape May, NJ

PMSA 43 ------------------- 46 407 45 28 332 17 20 153 56 39 969 1 052 414 333 915 369 590

Philadelphia, PA–NJ PMSA 570 - 563 449 591 372 475 177 183 209 615 683 244 8 020 3 456 656 6 448 3 166 206

Vineland–Millville–

Bridgeton, NJ PMSA 16 ------ (D) 11 3 425 8 (D) 12 6 353 189 63 353 164 57 828

Wilmington–Newark,

DE–MD PMSA 71 ----------- 93 918 79 48 530 25 36 509 82 97 229 871 462 904 790 442 286

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–77
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 68

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Eating and drinking places

(SIC 58)mCon.

Eating places

(SIC 5812)mCon.

Restaurants

(SIC 5812 pt.)

Cafeterias

(SIC 5812 pt.)

Refreshment places

(SIC 5812 pt.)

Other eating places

(SIC 5812 pt.)

Drinking places

(SIC 5813)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Mansfield, OH MSA 96 --------- 38 558 4 2 621 132 65 388 20 5 860 73 8 831

McAllen–Edinburg–Mission, TX

MSA 175 ---------------------- 64 552 16 19 292 198 114 805 18 4 179 61 8 377

Medford–Ashland, OR MSA 154 -- 59 389 2 (D) 122 47 824 16 (D) 46 8 913

Melbourne–Titusville–Palm

Bay, FL MSA 314 -------------- 166 587 7 (D) 258 124 520 57 (D) 99 21 787

Memphis, TN–AR–MS MSA 410 -- 271 646 38 33 626 684 383 856 112 45 404 85 20 934

Merced, CA MSA 92 ----------- 36 695 2 (D) 85 34 397 9 (D) 26 2 548

Miami–Fort Lauderdale, FL

CMSA 2 -------------------- 472 1 459 365 189 61 003 2 041 1 050 353 467 335 243 480 159 073

Fort Lauderdale, FL PMSA 1 - 208 698 165 23 21 349 889 433 016 200 88 387 255 86 239

Miami, FL PMSA 1 ---------- 264 761 200 166 39 654 1 152 617 337 267 246 856 225 72 834

Milwaukee–Racine, WI

CMSA 1 -------------------- 069 534 456 10 (D) 885 449 659 246 (D) 814 124 662

Milwaukee–Waukesha, WI

PMSA 950 ------------------- 485 408 9 (D) 780 406 753 218 (D) 719 112 603

Racine, WI PMSA 119 --------- 49 048 1 (D) 105 42 906 28 (D) 95 12 059

Minneapolis–St. Paul, MN–WI

MSA 1 ---------------------- 577 1 128 346 54 33 327 1 495 751 106 383 210 066 492 151 546

Mobile, AL MSA 242 ------------ 121 601 11 11 626 299 164 429 62 23 718 102 15 482

Modesto, CA MSA 208 ---------- 91 562 4 2 371 240 133 684 36 9 203 52 10 270

Monroe, LA MSA 70 ------------ 30 469 4 (D) 107 65 741 12 (D) 19 2 655

Montgomery, AL MSA 144 ------- 71 135 11 8 010 203 121 400 23 9 988 32 5 640

Muncie, IN MSA 48 ------------ 26 623 3 (D) 89 52 140 17 (D) 42 7 354

Myrtle Beach, SC MSA 301 ------ 175 996 13 15 857 209 99 002 33 12 921 58 26 011

Naples, FL MSA 221 ------------ 134 500 3 (D) 104 48 320 28 (D) 15 2 931

Nashville, TN MSA 630 ---------- 452 489 29 17 843 749 432 986 168 87 906 89 16 161

New London–Norwich, CT–RI

MSA 278 ---------------------- 128 662 2 (D) 201 88 039 55 (D) 79 16 998

New Orleans, LA MSA 768 ------- 460 123 24 27 981 761 417 782 268 166 285 312 89 223

New York–Northern New

Jersey–Long Island,

NY–NJ–CT–PA CMSA 14 ------ 085 6 890 906 347 (D) 10 373 3 866 267 4 583 (D) 4 260 777 461

Bergen–Passaic, NJ PMSA 878 - 448 374 25 8 765 731 290 009 329 164 298 267 47 134

Bridgeport, CT PMSA 256 ------ 127 244 1 (D) 225 113 814 128 (D) 85 13 212 Danbury, CT PMSA 196 -------- 82 779 2 (D) 107 39 021 71 (D) 26 4 087 Dutchess County, NY

PMSA 224 ------------------- 86 804 – – 137 50 238 105 28 878 47 6 740 Jersey City, NJ PMSA 326 ----- 128 989 21 5 502 290 95 666 102 41 848 282 34 673

Middlesex–Somerset–

Hunterdon, NJ PMSA 638 ----- 340 253 12 3 343 552 227 189 305 124 023 230 53 301 Monmouth–Ocean, NJ

PMSA 776 ------------------- 383 144 14 4 030 602 212 107 223 75 001 178 53 788 Nassau–Suffolk, NY PMSA 2 - 085 934 867 55 9 511 1 565 571 379 602 362 062 656 97 674 New Haven–Meriden, CT

PMSA 411 ------------------- 179 789 1 (D) 298 118 531 125 (D) 94 22 328 New York, NY PMSA 6 ------ 135 3 137 568 175 59 881 4 264 1 508 557 1 757 1 185 889 1 644 307 052

Newark, NJ PMSA 1 -------- 150 560 766 24 7 897 955 371 762 494 310 968 492 88 436 Newburgh, NY–PA PMSA 291 -- 100 531 3 (D) 176 68 892 66 (D) 99 11 821 Stamford–Norwalk, CT

PMSA 338 ------------------- 204 585 6 2 445 171 75 794 150 55 658 27 12 203 Trenton, NJ PMSA 217 -------- 119 098 5 979 191 82 278 91 42 869 77 17 202 Waterbury, CT PMSA 164 ------ 56 115 3 (D) 109 41 030 35 (D) 56 7 810

Norfolk–Virginia Beach–

Newport News, VA–NC

MSA 1 ---------------------- 021 467 461 29 37 310 964 516 253 162 61 582 84 24 565 Ocala, FL MSA 130 ------------- 64 895 4 (D) 113 55 978 18 (D) 25 4 053 Odessa–Midland, TX MSA 136 --- 59 353 10 12 752 198 88 762 20 3 439 29 7 857 Oklahoma City, OK MSA 606 ----- 288 771 40 38 308 990 455 469 139 90 003 143 27 409 Omaha, NE–IA MSA 416 --------- 232 814 13 7 900 488 216 363 101 33 790 303 54 380

Orlando, FL MSA 942 ----------- 873 492 31 28 658 870 544 602 147 141 413 202 60 099

Owensboro, KY MSA 49 -------- 23 992 1 (D) 72 39 282 5 (D) 15 2 856

Panama City, FL MSA 159 ------- 87 920 1 (D) 124 61 422 17 (D) 31 10 639

Parkersburg–Marietta, WV–OH

MSA 84 ---------------------- 38 577 2 (D) 118 58 927 15 (D) 39 4 118

Pensacola, FL MSA 204 --------- 100 067 6 (D) 235 128 050 30 (D) 81 24 681

Peoria–Pekin, IL MSA 213 -------- 98 255 2 (D) 237 114 455 86 (D) 150 20 817

Philadelphia–Wilmington–

Atlantic City, PA–NJ–DE–MD

CMSA 3 -------------------- 647 2 034 908 88 33 102 3 424 1 411 415 1 158 556 485 1 815 361 336

Atlantic–Cape May, NJ

PMSA 461 ------------------- 224 715 5 2 662 349 117 548 100 24 665 137 44 743

Philadelphia, PA–NJ PMSA 2 - 820 1 600 811 76 28 124 2 655 1 091 460 897 445 811 1 572 290 450

Vineland–Millville–

Bridgeton, NJ PMSA 66 ------ 20 570 – – 76 30 551 22 6 707 25 5 525

Wilmington–Newark,

DE–MD PMSA 300 ----------- 188 812 7 2 316 344 171 856 139 79 302 81 20 618

See footnotes at end of table.

US–78nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 69

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Drug and proprietary stores

(SIC 591)

Miscellaneous retail stores

(SIC 59 ex. 591)

Total Liquor stores

(SIC 592)

Used merchandise stores

(SIC 593)

Miscellaneous shopping goods

stores (SIC 594)

Total

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Mansfield, OH MSA 34 --------- 61 654 187 83 437 24 10 922 7 1 300 73 31 357

McAllen–Edinburg–Mission, TX

MSA 54 ---------------------- 43 668 331 229 696 16 19 286 57 30 889 156 141 366

Medford–Ashland, OR MSA 22 -- 31 814 201 253 598 21 10 680 19 3 322 87 39 227

Melbourne–Titusville–Palm

Bay, FL MSA 56 -------------- 139 236 528 206 246 38 28 273 43 9 083 225 106 748

Memphis, TN–AR–MS MSA 160 -- 353 138 1 140 536 154 158 77 833 104 34 469 431 226 963

Merced, CA MSA 20 ----------- 50 642 124 45 891 16 8 672 11 2 372 46 15 845

Miami–Fort Lauderdale, FL

CMSA 795 -------------------- 1 553 021 4 901 2 760 620 298 176 868 360 105 477 2 121 1 245 490

Fort Lauderdale, FL PMSA 271 - 600 561 2 026 1 117 450 109 62 204 173 51 024 827 462 845

Miami, FL PMSA 524 ---------- 952 460 2 875 1 643 170 189 114 664 187 54 453 1 294 782 645

Milwaukee–Racine, WI

CMSA 267 -------------------- 580 688 1 894 1 158 164 196 149 682 119 33 449 797 409 847

Milwaukee–Waukesha, WI

PMSA 239 ------------------- 519 432 1 690 1 075 272 171 133 137 98 29 477 722 377 057

Racine, WI PMSA 28 --------- 61 256 204 82 892 25 16 545 21 3 972 75 32 790

Minneapolis–St. Paul, MN–WI

MSA 376 ---------------------- 647 009 3 451 2 766 761 407 432 688 149 53 387 1 474 844 233

Mobile, AL MSA 114 ------------ 163 914 547 253 651 40 27 726 51 10 107 231 101 424

Modesto, CA MSA 59 ---------- 151 482 343 196 851 29 19 989 27 6 619 145 97 892

Monroe, LA MSA 44 ------------ 48 816 167 72 776 9 3 321 20 2 671 68 43 068

Montgomery, AL MSA 66 ------- 86 823 342 141 517 29 22 030 37 7 921 133 62 174

Muncie, IN MSA 24 ------------ 36 919 159 64 940 18 7 054 9 2 372 75 30 137

Myrtle Beach, SC MSA 35 ------ 45 309 344 110 990 24 23 174 23 3 878 188 55 338

Naples, FL MSA 37 ------------ 77 604 328 129 106 14 12 816 33 7 526 167 64 868

Nashville, TN MSA 234 ---------- 308 738 1 292 704 921 94 73 451 136 41 189 530 254 667

New London–Norwich, CT–RI

MSA 54 ---------------------- 87 743 484 312 450 99 46 691 24 5 001 207 101 825

New Orleans, LA MSA 245 ------- 456 664 1 387 716 540 31 30 776 132 64 561 694 344 019

New York–Northern New

Jersey–Long Island,

NY–NJ–CT–PA CMSA 4 ------ 554 6 635 780 25 120 21 041 532 3 269 2 187 602 980 430 383 10 084 6 912 658

Bergen–Passaic, NJ PMSA 331 - 501 986 1 824 1 839 303 291 187 300 40 13 293 712 562 249

Bridgeport, CT PMSA 84 ------ 153 757 545 392 997 80 49 278 18 1 663 199 122 704 Danbury, CT PMSA 35 -------- 68 228 316 309 117 40 37 149 13 3 450 142 91 676 Dutchess County, NY

PMSA 57 ------------------- 83 984 340 193 462 38 24 056 11 1 956 147 71 177 Jersey City, NJ PMSA 144 ----- 186 983 613 353 773 147 96 046 9 2 386 196 100 171

Middlesex–Somerset–

Hunterdon, NJ PMSA 188 ----- 303 671 1 314 936 971 199 152 631 33 14 039 526 376 209 Monmouth–Ocean, NJ

PMSA 212 ------------------- 340 920 1 356 775 509 199 174 513 42 12 386 542 278 207 Nassau–Suffolk, NY PMSA 675 - 1 079 223 4 218 4 188 849 425 262 117 130 37 711 1 743 1 088 955 New Haven–Meriden, CT

PMSA 102 ------------------- 191 783 746 545 632 119 68 683 42 10 662 271 138 634 New York, NY PMSA 2 ------ 061 2 640 144 9 656 7 875 382 1 070 648 410 478 267 185 4 003 3 137 145

Newark, NJ PMSA 404 -------- 646 953 2 420 1 623 036 431 314 613 80 27 238 877 495 874 Newburgh, NY–PA PMSA 64 -- 100 798 406 234 246 45 26 416 13 2 321 179 85 689 Stamford–Norwalk, CT

PMSA 70 ------------------- 134 899 664 1 323 996 76 63 108 41 19 802 267 183 373 Trenton, NJ PMSA 71 -------- 133 244 434 306 513 67 60 704 15 8 157 180 131 898 Waterbury, CT PMSA 56 ------ 69 207 268 142 746 42 22 578 15 8 134 100 48 697

Norfolk–Virginia Beach–

Newport News, VA–NC

MSA 219 ---------------------- 373 511 1 605 1 210 459 56 63 231 134 39 863 801 357 571 Ocala, FL MSA 37 ------------- 78 733 225 100 792 18 10 940 17 4 673 96 45 651 Odessa–Midland, TX MSA 37 --- 61 477 304 123 047 26 18 892 30 7 837 130 49 860 Oklahoma City, OK MSA 183 ----- 236 012 1 192 540 635 92 45 457 137 34 565 475 264 648 Omaha, NE–IA MSA 116 --------- 184 018 765 436 069 39 17 976 67 17 846 351 232 445

Orlando, FL MSA 201 ----------- 403 542 1 798 991 550 111 84 461 150 39 051 844 536 886

Owensboro, KY MSA 31 -------- 30 611 122 55 954 23 20 612 12 (D) 43 14 771

Panama City, FL MSA 31 ------- 32 047 197 90 378 25 10 255 19 2 240 89 41 620

Parkersburg–Marietta, WV–OH

MSA 26 ---------------------- 52 185 162 58 980 9 4 504 9 2 588 69 30 635

Pensacola, FL MSA 75 --------- 107 146 427 150 503 27 15 628 34 4 913 196 70 383

Peoria–Pekin, IL MSA 67 -------- 120 786 403 228 583 41 19 641 23 6 267 180 75 424

Philadelphia–Wilmington–

Atlantic City, PA–NJ–DE–MD

CMSA 1 -------------------- 388 2 231 676 7 285 6 919 410 921 945 944 286 89 176 3 107 1 738 903

Atlantic–Cape May, NJ

PMSA 84 ------------------- 130 337 630 305 212 103 83 754 17 2 683 322 139 120

Philadelphia, PA–NJ PMSA 1 - 191 1 852 927 5 700 5 899 130 606 706 160 236 76 458 2 433 1 397 670

Vineland–Millville–

Bridgeton, NJ PMSA 18 ------ 48 086 166 116 418 25 17 375 5 1 512 63 20 809

Wilmington–Newark,

DE–MD PMSA 95 ----------- 200 326 789 598 650 187 138 655 28 8 523 289 181 304

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–79
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 70

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Miscellaneous retail stores

(SIC 59 ex. 591)mCon.

Miscellaneous shopping goods stores

(SIC 594)mCon.

Sporting goods stores and

bicycle shops

(SIC 5941)

Book stores

(SIC 5942)

Jewelry stores

(SIC 5944)

Other miscellaneous

shopping goods stores

(SIC 5943, 5, 6, 7, 8, 9)

Nonstore retailers (SIC 596)Fuel dealers

(SIC 598)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Mansfield, OH MSA 14 --------- 4 127 12 4 721 17 9 182 30 13 327 27 24 461 3 (D)

McAllen–Edinburg–Mission, TX

MSA 18 ---------------------- (D) 5 (D) 51 57 194 82 59 035 15 6 542 9 4 158

Medford–Ashland, OR MSA 15 -- 9 585 11 5 073 19 8 588 42 15 981 25 185 106 1 (D)

Melbourne–Titusville–Palm

Bay, FL MSA 50 -------------- 14 235 27 13 160 48 18 704 100 60 649 35 15 632 5 5 248

Memphis, TN–AR–MS MSA 65 -- 36 375 63 45 169 103 55 485 200 89 934 115 87 761 15 11 091

Merced, CA MSA 10 ----------- (D) 4 (D) 15 4 918 17 5 506 13 4 612 5 5 814

Miami–Fort Lauderdale, FL

CMSA 349 -------------------- 296 264 150 83 627 632 285 994 990 579 605 458 626 250 37 38 275

Fort Lauderdale, FL PMSA 157 - 145 351 62 33 678 219 84 239 389 199 577 213 281 866 17 11 968

Miami, FL PMSA 192 ---------- 150 913 88 49 949 413 201 755 601 380 028 245 344 384 20 26 307

Milwaukee–Racine, WI

CMSA 151 -------------------- 93 234 56 33 640 194 102 289 396 180 684 198 (D) 40 47 430

Milwaukee–Waukesha, WI

PMSA 140 ------------------- 89 142 49 30 590 172 93 354 361 163 971 180 321 174 33 37 856

Racine, WI PMSA 11 --------- 4 092 7 3 050 22 8 935 35 16 713 18 (D) 7 9 574

Minneapolis–St. Paul, MN–WI

MSA 332 ---------------------- 252 873 134 89 720 259 148 612 749 353 028 397 1 024 092 55 64 579

Mobile, AL MSA 48 ------------ 24 454 18 8 880 47 25 211 118 42 879 54 58 253 10 6 587

Modesto, CA MSA 32 ---------- 26 534 16 6 702 35 19 273 62 45 383 37 29 068 7 3 689

Monroe, LA MSA 16 ------------ 9 313 5 2 432 20 10 061 27 21 262 18 11 282 1 (D)

Montgomery, AL MSA 21 ------- 7 044 19 8 489 37 22 459 56 24 182 33 13 735 14 8 478

Muncie, IN MSA 14 ------------ 4 999 9 7 083 20 8 818 32 9 237 14 14 553 5 (D)

Myrtle Beach, SC MSA 28 ------ 10 787 8 4 339 44 11 452 108 28 760 24 7 560 4 (D)

Naples, FL MSA 29 ------------ 11 332 14 6 941 44 23 919 80 22 676 16 11 524 2 (D)

Nashville, TN MSA 83 ---------- 56 934 62 35 390 124 46 993 261 115 350 140 221 956 18 12 570

New London–Norwich, CT–RI

MSA 30 ---------------------- 13 910 27 12 777 37 19 921 113 55 217 27 55 379 41 80 408

New Orleans, LA MSA 79 ------- 52 018 62 38 578 181 80 377 372 173 046 102 132 407 6 1 524

New York–Northern New

Jersey–Long Island,

NY–NJ–CT–PA CMSA 1 ------ 367 1 068 197 906 756 409 2 622 1 748 536 5 189 3 339 516 2 184 5 665 789 1 189 2 818 493

Bergen–Passaic, NJ PMSA 101 - 134 680 52 47 394 193 117 071 366 263 104 192 750 469 57 127 810

Bridgeport, CT PMSA 31 ------ 18 317 19 14 624 54 29 629 95 60 134 56 30 877 46 140 731 Danbury, CT PMSA 25 -------- 11 850 15 11 785 35 18 544 67 49 497 18 88 696 17 56 104 Dutchess County, NY

PMSA 19 ------------------- 9 915 22 13 166 31 13 557 75 34 539 30 16 041 30 54 208 Jersey City, NJ PMSA 20 ----- 14 638 13 6 757 62 17 153 101 61 623 50 52 721 28 51 664

Middlesex–Somerset–

Hunterdon, NJ PMSA 77 ----- 67 616 47 35 349 126 77 650 276 195 594 112 161 515 49 92 065 Monmouth–Ocean, NJ

PMSA 101 ------------------- 60 932 46 18 306 118 48 862 277 150 107 101 86 342 54 92 681 Nassau–Suffolk, NY PMSA 324 - 227 058 127 90 976 351 212 028 941 558 893 427 1 659 454 302 719 279 New Haven–Meriden, CT

PMSA 52 ------------------- 26 742 33 26 958 53 24 285 133 60 649 58 149 271 75 123 894 New York, NY PMSA 367 ------ 319 786 363 359 716 1 223 997 812 2 050 1 459 831 753 1 503 221 284 777 769

Newark, NJ PMSA 131 -------- 80 223 91 75 302 212 108 611 443 231 738 226 250 000 126 309 759 Newburgh, NY–PA PMSA 24 -- 19 346 14 8 176 41 14 639 100 43 528 32 33 408 34 58 069 Stamford–Norwalk, CT

PMSA 47 ------------------- 42 585 31 19 216 44 27 200 145 94 372 79 847 873 36 136 971 Trenton, NJ PMSA 39 -------- 30 367 23 23 285 41 28 201 77 50 045 32 26 701 24 40 154 Waterbury, CT PMSA 9 ------ 4 142 10 5 399 38 13 294 43 25 862 18 9 200 27 37 335

Norfolk–Virginia Beach–

Newport News, VA–NC

MSA 127 ---------------------- 65 773 72 38 250 152 67 735 450 185 813 121 572 358 49 49 614 Ocala, FL MSA 16 ------------- 7 094 5 3 778 23 7 553 52 27 226 19 16 410 10 3 979 Odessa–Midland, TX MSA 19 --- 5 757 9 4 197 34 11 235 68 28 671 18 17 724 3 1 240 Oklahoma City, OK MSA 71 ----- 55 953 47 31 000 108 50 094 249 127 601 90 58 188 26 15 989 Omaha, NE–IA MSA 73 --------- 49 683 50 28 076 56 64 567 172 90 119 77 91 657 8 2 389

Orlando, FL MSA 122 ----------- 90 913 60 33 698 164 82 115 498 330 160 143 131 100 26 20 580

Owensboro, KY MSA 7 -------- 2 530 3 1 768 15 6 238 18 4 235 5 9 164 4 (D)

Panama City, FL MSA 14 ------- 5 655 9 3 404 17 7 809 49 24 752 8 (D) 4 1 113

Parkersburg–Marietta, WV–OH

MSA 9 ---------------------- 6 829 10 3 601 16 7 480 34 12 725 17 5 180 4 (D)

Pensacola, FL MSA 44 --------- 16 839 23 8 184 48 17 283 81 28 077 23 12 367 8 11 589

Peoria–Pekin, IL MSA 40 -------- 15 227 20 9 662 30 15 379 90 35 156 32 89 903 4 3 928

Philadelphia–Wilmington–

Atlantic City, PA–NJ–DE–MD

CMSA 478 -------------------- 326 237 331 193 473 705 338 846 1 593 880 347 552 2 702 247 370 726 374

Atlantic–Cape May, NJ

PMSA 41 ------------------- 19 033 25 11 639 70 27 368 186 81 080 24 18 225 22 20 876

Philadelphia, PA–NJ PMSA 367 - 268 745 268 161 735 567 268 253 1 231 698 937 461 2 615 036 297 515 136

Vineland–Millville–

Bridgeton, NJ PMSA 9 ------ 3 033 6 1 796 14 5 892 34 10 088 13 11 123 16 52 181

Wilmington–Newark,

DE–MD PMSA 61 ----------- 35 426 32 18 303 54 37 333 142 90 242 54 57 863 35 138 181

See footnotes at end of table.

US–80nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 71

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Miscellaneous retail stores

(SIC 59 ex. 591)mCon.

Florists

(SIC 5992)

Tobacco stores and stands

(SIC 5993)

News dealers and newsstands

(SIC 5994)

Optical goods stores

(SIC 5995)

Miscellaneous retail stores,

n.e.c.

(SIC 5999)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Mansfield, OH MSA 18 --------- 2 979 1 (D) 3 536 7 2 390 24 7 470

McAllen–Edinburg–Mission, TX

MSA 19 ---------------------- 3 456 2 (D) 1 (D) 21 7 745 35 (D)

Medford–Ashland, OR MSA 18 -- 2 629 3 (D) – – 6 2 057 21 (D)

Melbourne–Titusville–Palm

Bay, FL MSA 58 -------------- 8 332 1 (D) 1 (D) 36 9 370 86 (D)

Memphis, TN–AR–MS MSA 114 -- 23 607 2 (D) 7 2 845 48 14 246 146 (D)

Merced, CA MSA 11 ----------- 2 392 – – 1 (D) 3 670 18 (D)

Miami–Fort Lauderdale, FL

CMSA 351 -------------------- 73 773 30 28 792 31 9 897 361 117 635 854 338 163

Fort Lauderdale, FL PMSA 129 - 26 763 14 21 605 11 1 902 159 51 702 374 145 571

Miami, FL PMSA 222 ---------- 47 010 16 7 187 20 7 995 202 65 933 480 192 592

Milwaukee–Racine, WI

CMSA 152 -------------------- 32 809 10 2 385 3 (D) 129 41 639 250 (D)

Milwaukee–Waukesha, WI

PMSA 137 ------------------- 29 180 10 2 385 3 (D) 116 37 074 220 (D)

Racine, WI PMSA 15 --------- 3 629 – – – – 13 4 565 30 (D)

Minneapolis–St. Paul, MN–WI

MSA 247 ---------------------- 81 410 17 7 782 11 (D) 209 77 599 485 (D)

Mobile, AL MSA 54 ------------ 9 832 1 (D) 1 (D) 27 9 971 78 (D)

Modesto, CA MSA 36 ---------- 7 369 3 (D) – – 12 5 008 47 (D)

Monroe, LA MSA 15 ------------ 2 582 – – 1 (D) 9 1 902 26 (D)

Montgomery, AL MSA 37 ------- 6 605 – – – – 20 6 067 39 14 507

Muncie, IN MSA 10 ------------ 1 957 2 (D) 1 (D) 7 2 900 18 3 270

Myrtle Beach, SC MSA 25 ------ 4 677 – – – – 13 3 073 43 (D)

Naples, FL MSA 28 ------------ 6 910 4 2 588 – – 12 4 972 52 (D)

Nashville, TN MSA 123 ---------- 28 576 3 (D) 2 (D) 71 24 371 175 47 193

New London–Norwich, CT–RI

MSA 27 ---------------------- 6 017 – – 2 (D) 16 4 738 41 (D)

New Orleans, LA MSA 107 ------- 21 709 11 5 635 6 1 382 84 29 417 214 85 110

New York–Northern New

Jersey–Long Island,

NY–NJ–CT–PA CMSA 2 ------ 015 519 170 209 (D) 693 201 456 1 287 461 036 3 210 (D)

Bergen–Passaic, NJ PMSA 161 - 41 757 9 3 547 26 6 293 95 41 419 241 105 166

Bridgeport, CT PMSA 44 ------ 10 297 7 1 857 11 3 838 34 11 216 50 20 536 Danbury, CT PMSA 22 -------- 4 397 2 (D) 3 (D) 14 6 608 45 (D)

Dutchess County, NY

PMSA 23 ------------------- 4 371 3 (D) 5 (D) 13 4 522 40 (D)

Jersey City, NJ PMSA 53 ----- 9 551 3 841 32 5 671 37 9 491 58 25 231

Middlesex–Somerset–

Hunterdon, NJ PMSA 136 ----- 31 697 6 1 675 15 4 491 69 24 203 169 78 446 Monmouth–Ocean, NJ

PMSA 126 ------------------- 28 630 10 3 791 8 2 570 75 24 114 199 72 275 Nassau–Suffolk, NY PMSA 351 - 92 293 39 18 841 51 10 524 236 80 215 514 219 460 New Haven–Meriden, CT

PMSA 58 ------------------- 15 165 2 (D) 5 1 879 37 8 182 79 (D)

New York, NY PMSA 670 ------ 181 471 103 36 785 475 142 505 484 188 962 1 336 991 929

Newark, NJ PMSA 221 -------- 57 506 17 8 673 44 14 682 120 36 162 278 108 529 Newburgh, NY–PA PMSA 31 -- 6 303 2 (D) 1 (D) 19 5 448 50 15 449 Stamford–Norwalk, CT

PMSA 55 ------------------- 21 189 4 901 6 2 341 27 10 435 73 38 003 Trenton, NJ PMSA 40 -------- 9 617 2 (D) 7 (D) 18 7 447 49 (D)

Waterbury, CT PMSA 24 ------ 4 926 – – 4 (D) 9 2 612 29 (D)

Norfolk–Virginia Beach–

Newport News, VA–NC

MSA 126 ---------------------- 23 563 7 9 655 6 1 695 92 26 394 213 66 515 Ocala, FL MSA 18 ------------- 3 178 1 (D) – – 16 4 223 30 (D)

Odessa–Midland, TX MSA 29 --- 6 646 2 (D) 1 (D) 20 5 338 45 (D)

Oklahoma City, OK MSA 106 ----- 21 694 13 7 789 4 (D) 71 20 517 178 (D)

Omaha, NE–IA MSA 61 --------- 13 429 3 (D) 3 (D) 49 24 792 107 (D)

Orlando, FL MSA 148 ----------- 29 836 5 (D) 3 (D) 79 37 222 289 107 709

Owensboro, KY MSA 12 -------- 2 972 1 (D) 2 (D) 6 1 597 14 2 720

Panama City, FL MSA 12 ------- 2 660 1 (D) 1 (D) 6 3 056 32 (D)

Parkersburg–Marietta, WV–OH

MSA 13 ---------------------- 4 108 – – 7 3 167 10 2 661 24 (D)

Pensacola, FL MSA 44 --------- (D) 1 (D) 1 (D) 19 7 677 74 (D)

Peoria–Pekin, IL MSA 46 -------- 9 930 2 (D) 1 (D) 19 5 708 55 17 291

Philadelphia–Wilmington–

Atlantic City, PA–NJ–DE–MD

CMSA 594 -------------------- 147 460 51 (D) 122 (D) 399 133 629 883 (D)

Atlantic–Cape May, NJ

PMSA 40 ------------------- 9 843 3 2 273 6 2 616 29 9 780 64 16 042

Philadelphia, PA–NJ PMSA 490 - 120 476 33 16 062 99 26 783 327 111 274 718 314 075

Vineland–Millville–

Bridgeton, NJ PMSA 13 ------ 3 318 1 (D) 2 (D) 8 1 263 20 (D)

Wilmington–Newark,

DE–MD PMSA 51 ----------- 13 823 14 (D) 15 5 534 35 11 312 81 (D)

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–81
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 72

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Building materials and garden supplies stores

(SIC 52)

Retail trade

Total

Building materials and

supply stores

(SIC 521, 3)

Hardware stores

(SIC 525)

Retail nurseries, lawn

and garden supply stores

(SIC 526)

Manufactured (mobile)

home dealers

(SIC 527)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Phoenix–Mesa, AZ MSA 12 ----- 380 18 724 111 397 817 481 196 648 348 88 68 342 74 42 989 39 57 802

Pine Bluff, AR MSA 522 --------- 579 641 19 34 662 12 21 153 3 (D) 1 (D) 3 8 229

Pittsburgh, PA MSA 14 --------- 551 17 574 782 663 827 526 301 607 973 217 125 176 112 45 770 33 48 607

Pittsfield, MA MSA 787 ---------- 799 415 33 41 727 19 28 359 9 8 265 4 (D) 1 (D)

Portland, ME MSA 1 ---------- 805 2 680 627 88 136 469 42 106 301 32 17 998 13 (D) 1 (D)

Portland–Salem, OR–WA

CMSA 10 -------------------- 886 15 542 116 505 903 059 270 651 112 101 87 655 94 60 347 40 103 945

Portland–Vancouver,

OR–WA PMSA 9 ----------- 333 13 509 572 419 756 423 221 554 082 87 77 861 78 53 346 33 71 134

Salem, OR PMSA 1 --------- 553 2 032 544 86 146 636 49 97 030 14 9 794 16 7 001 7 32 811

Providence–Fall River–

Warwick, RI–MA MSA 7 ------ 115 8 012 675 281 380 374 154 320 554 90 47 859 37 11 961 – – Provo–Orem, UT MSA 1 ------- 090 1 540 220 52 96 004 28 67 931 14 19 879 8 (D) 2 (D)

Pueblo, CO MSA 817 ------------ 893 566 31 33 149 20 29 571 7 1 664 – – 4 1 914 Punta Gorda, FL MSA 683 ------- 816 794 50 67 382 23 56 950 10 5 699 13 3 660 4 1 073 Raleigh–Durham–Chapel Hill,

NC MSA 6 ------------------ 066 7 151 098 260 462 102 126 380 258 69 37 505 49 21 367 16 22 972

Rapid City, SD MSA 709 --------- 867 172 34 52 807 16 31 362 9 8 171 3 2 444 6 10 830

Reading, PA MSA 2 ----------- 118 2 730 932 91 116 515 47 87 939 25 18 959 13 6 074 6 3 543

Redding, CA MSA 1 ----------- 066 1 216 184 62 104 667 36 88 659 16 7 659 7 1 733 3 6 616

Reno, NV MSA 1 ------------- 763 2 700 592 85 193 209 46 141 224 16 24 669 12 11 774 11 15 542

Richland–Kennewick–Pasco,

WA MSA 920 ------------------ 1 252 526 46 87 605 22 49 481 12 19 003 5 4 044 7 15 077

Richmond–Petersburg, VA

MSA 5 ---------------------- 348 6 888 232 182 331 793 100 279 124 39 21 118 33 18 559 10 12 992

Roanoke, VA MSA 1 ---------- 648 2 163 768 77 120 165 44 103 205 20 8 486 10 5 621 3 2 853

Rochester, MN MSA 718 --------- 1 126 027 39 117 541 21 103 713 9 7 040 8 (D) 1 (D)

Rochester, NY MSA 5 --------- 881 7 693 195 292 405 764 140 312 447 80 35 860 54 39 858 18 17 599

Rockford, IL MSA 1 ----------- 871 2 421 940 96 168 351 40 136 824 32 15 482 19 13 342 5 2 703

Rocky Mount, NC MSA 899 ------ 939 957 45 91 586 22 72 590 7 3 178 6 1 203 10 14 615

Sacramento–Yolo, CA CMSA 8 - 435 11 868 770 424 732 611 252 610 479 96 69 860 58 31 730 18 20 542 Sacramento, CA PMSA 7 ---- 730 11 014 686 381 679 465 232 580 234 85 58 671 51 28 640 13 11 920 Yolo, CA PMSA 705 ----------- 854 084 43 53 146 20 30 245 11 11 189 7 3 090 5 8 622

Saginaw–Bay City–Midland, MI

MSA 2 ---------------------- 555 3 246 290 120 179 500 53 115 497 34 25 324 22 21 243 11 17 436

St. Cloud, MN MSA 977 --------- 1 823 640 65 150 457 35 133 718 20 8 664 7 (D) 3 (D)

St. Joseph, MO MSA 591 -------- 695 288 30 22 508 19 11 743 2 (D) 7 3 424 2 (D)

St. Louis, MO–IL MSA 14 ------- 400 19 144 926 639 919 313 318 579 527 168 222 618 114 74 494 39 42 674 Salinas, CA MSA 2 ------------ 253 2 518 649 80 110 712 48 78 133 19 25 269 12 (D) 1 (D)

Salt Lake City–Ogden, UT

MSA 5 ---------------------- 635 8 470 175 211 458 740 130 363 896 38 62 690 37 23 958 6 8 196

San Angelo, TX MSA 636 -------- 720 768 19 27 315 12 19 151 4 6 396 3 1 768 – –

San Antonio, TX MSA 7 ------- 285 9 794 321 202 315 244 116 245 622 38 20 722 38 24 751 10 24 149

San Diego, CA MSA 13 --------- 683 19 215 928 388 923 650 242 816 973 69 52 486 62 40 134 15 14 057

San Francisco–Oakland–San

Jose, CA CMSA 38 ------------ 002 52 731 004 1 336 2 571 449 746 1 779 594 332 585 443 238 164 086 20 42 326

Oakland, CA PMSA 11 ------- 194 16 147 191 405 809 168 232 552 695 106 198 219 64 56 362 3 1 892

San Francisco, CA PMSA 12 -- 154 14 976 182 339 571 868 163 404 859 103 121 359 71 (D) 2 (D)

San Jose, CA PMSA 8 ------ 172 13 180 956 259 591 122 155 384 795 52 141 820 45 43 085 7 21 422

Santa Cruz–Watsonville, CA

PMSA 1 ------------------- 538 1 813 429 58 100 505 36 67 984 15 29 816 6 (D) 1 (D)

Santa Rosa, CA PMSA 2 ---- 539 3 355 247 159 273 045 85 205 966 36 47 873 34 (D) 4 (D)

Vallejo–Fairfield–Napa, CA

PMSA 2 ------------------- 405 3 257 999 116 225 741 75 163 295 20 46 356 18 (D) 3 (D)

San Luis Obispo–Atascadero–

Paso Robles, CA MSA 1 ------ 589 1 459 387 88 92 429 48 64 395 20 18 427 12 5 373 8 4 234 Santa Barbara–Santa

Maria–Lompoc, CA MSA 2 ---- 480 2 732 297 108 139 760 60 109 649 23 19 334 24 (D) 1 (D)

Santa Fe, NM MSA 1 --------- 086 1 194 919 37 63 496 20 45 489 12 (D) 2 (D) 3 (D)

Sarasota–Bradenton, FL

MSA 3 ---------------------- 508 4 501 628 182 229 414 98 184 714 38 15 589 33 18 953 13 10 158 Savannah, GA MSA 1 --------- 779 2 089 111 85 127 839 43 102 522 22 11 798 11 2 444 9 11 075 Scranton–Wilkes-Barre–

Hazleton, PA MSA 4 --------- 078 4 492 974 198 258 205 124 212 173 34 17 897 29 12 017 11 16 118

Seattle–Tacoma–Bremerton,

WA CMSA 18 ----------------- 764 26 436 421 743 1 463 038 375 931 569 189 332 804 131 97 654 48 101 011

Bremerton, WA PMSA 1 ----- 095 1 491 006 54 128 162 31 93 535 11 19 976 9 5 860 3 8 791

Olympia, WA PMSA 991 ------- 1 354 188 45 90 286 22 50 333 10 17 508 7 4 358 6 18 087

Seattle–Bellevue–Everett,

WA PMSA 13 --------------- 529 19 083 682 491 933 230 249 592 275 130 231 736 91 71 656 21 37 563

Tacoma, WA PMSA 3 ------- 149 4 507 545 153 311 360 73 195 426 38 63 584 24 15 780 18 36 570

Sharon, PA MSA 735 ------------ 827 801 38 50 992 21 32 185 9 (D) 7 8 921 1 (D)

Sheboygan, WI MSA 574 -------- 723 222 31 65 893 19 58 211 7 4 481 4 (D) 1 (D)

Sherman–Denison, TX MSA 604 -- 728 533 34 40 749 21 33 363 6 (D) 6 (D) 1 (D)

Shreveport–Bossier City, LA

MSA 2 ---------------------- 068 2 733 429 97 128 060 45 93 176 27 11 756 18 8 280 7 14 848 Sioux City, IA–NE MSA 789 ------ 915 282 48 51 844 23 39 167 14 5 680 8 (D) 3 (D)

Sioux Falls, SD MSA 1 -------- 068 1 500 378 56 69 086 30 47 616 17 10 923 5 3 320 4 7 227

South Bend, IN MSA 1 -------- 515 2 043 641 80 103 121 38 79 679 23 (D) 17 10 346 2 (D)

Spokane, WA MSA 2 ---------- 293 3 233 950 110 211 865 49 137 175 32 37 606 21 17 836 8 19 248

Springfield, IL MSA 1 ---------- 243 1 657 361 53 83 302 27 64 141 15 10 204 6 5 268 5 3 689 Springfield, MO MSA 1 -------- 857 2 663 361 115 176 325 69 142 164 17 9 713 18 10 329 11 14 119

See footnotes at end of table.

US–82nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] D_SIPES# 8D [UFCB,D_SIPES] UFCEN 3/ 7/ 95 10:25 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 3/ 1/ 95 07:48:00 TAPE: NOreel FRAME: 5

TSF:R_US_TIPS92.DAT;1 3/ 1/ 95 07:48:53 UTF:R_US_TIPS93.DAT;1 3/ 1/ 95 07:48:53 META:R_US_TIPS96.DAT;1 3/ 1/ 95 07:54:15

Table 5. Establishments and Sales for Metropolitan Areas: 1992mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

General merchandise stores

(SIC 53)

Total

Department stores

(incl. leased depts.)1 2

(SIC 531)

Department stores

(excl. leased depts.)1

(SIC 531)

Variety stores

(SIC 533)

Miscellaneous general

merchandise stores

(SIC 539)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Phoenix–Mesa, AZ MSA 174 ----- 2 380 924 87 1 732 070 87 1 692 535 27 17 712 60 670 677

Pine Bluff, AR MSA 10 --------- 86 957 5 82 533 5 81 454 3 (D) 2 (D)

Pittsburgh, PA MSA 289 --------- 2 288 123 124 1 993 740 124 1 924 310 119 108 563 46 255 250

Pittsfield, MA MSA 26 ---------- 85 289 6 69 144 6 66 892 16 (D) 4 (D)

Portland, ME MSA 65 ---------- 277 731 14 175 859 14 171 843 33 21 944 18 83 944

Portland–Salem, OR–WA

CMSA 188 -------------------- 2 743 554 78 1 970 982 78 1 941 750 43 (D) 67 (D)

Portland–Vancouver,

OR–WA PMSA 148 ----------- 2 364 052 62 1 700 313 62 1 675 678 34 28 420 52 659 954

Salem, OR PMSA 40 --------- 379 502 16 270 669 16 266 072 9 (D) 15 (D)

Providence–Fall River–

Warwick, RI–MA MSA 115 ------ 1 020 667 43 761 363 43 745 977 30 19 101 42 255 589 Provo–Orem, UT MSA 25 ------- 252 387 14 r

194 539 14 (D) 3 (D) 8 (D)

Pueblo, CO MSA 15 ------------ 148 257 10 143 542 10 140 310 4 (D) 1 (D)

Punta Gorda, FL MSA 16 ------- 129 130 10 119 727 10 117 643 5 (D) 1 (D)

Raleigh–Durham–Chapel Hill,

NC MSA 143 ------------------ 831 906 49 633 138 49 622 138 56 31 322 38 178 446

Rapid City, SD MSA 16 --------- 140 557 7 130 948 7 129 247 4 (D) 5 (D)

Reading, PA MSA 39 ----------- 371 326 18 280 493 18 274 447 13 (D) 8 (D)

Redding, CA MSA 24 ----------- 190 796 8 116 606 8 114 614 6 (D) 10 (D)

Reno, NV MSA 23 ------------- 419 363 15 (D) 15 (D) 4 (D) 4 (D)

Richland–Kennewick–Pasco,

WA MSA 16 ------------------ 240 185 9 (D) 9 (D) 3 (D) 4 (D)

Richmond–Petersburg, VA

MSA 113 ---------------------- 876 026 40 614 819 40 600 892 42 38 292 31 236 842

Roanoke, VA MSA 46 ---------- 313 355 17 228 050 17 223 627 20 14 459 9 75 269

Rochester, MN MSA 13 --------- 199 302 9 r173 839 9 (D) 3 (D) 1 (D)

Rochester, NY MSA 120 --------- 937 718 50 692 372 50 674 249 35 32 504 35 230 965

Rockford, IL MSA 43 ----------- 356 046 21 296 004 21 285 322 11 (D) 11 (D)

Rocky Mount, NC MSA 37 ------ 113 406 10 96 616 10 95 577 16 7 605 11 10 224

Sacramento–Yolo, CA CMSA 115 - 1 522 026 48 1 052 970 48 1 028 548 20 18 516 47 474 962 Sacramento, CA PMSA 103 ---- 1 458 959 43 997 059 43 973 652 17 15 638 43 469 669 Yolo, CA PMSA 12 ----------- 63 067 5 55 911 5 54 896 3 2 878 4 5 293

Saginaw–Bay City–Midland, MI

MSA 49 ---------------------- 609 402 24 552 976 24 546 672 18 (D) 7 (D)

St. Cloud, MN MSA 27 --------- 238 549 10 178 114 10 174 937 4 (D) 13 (D)

St. Joseph, MO MSA 15 -------- 138 361 9 136 480 9 134 328 6 4 033 – –

St. Louis, MO–IL MSA 281 ------- 2 850 623 119 2 447 391 119 2 380 042 111 82 940 51 387 641 Salinas, CA MSA 31 ------------ 350 163 11 231 802 11 227 530 10 (D) 10 (D)

Salt Lake City–Ogden, UT

MSA 99 ---------------------- 1 138 907 57 851 404 57 828 665 10 12 338 32 297 904

San Angelo, TX MSA 14 -------- 118 368 8 (D) 8 (D) 2 (D) 4 (D)

San Antonio, TX MSA 160 ------- 1 352 843 53 1 077 695 53 1 052 480 73 49 020 34 251 343

San Diego, CA MSA 192 --------- 2 509 217 75 1 677 373 75 1 628 440 50 (D) 67 (D)

San Francisco–Oakland–San

Jose, CA CMSA 454 ------------ 6 616 553 171 4 248 719 171 4 150 757 112 (D) 171 (D)

Oakland, CA PMSA 153 ------- 2 242 513 57 1 323 906 57 1 291 638 38 40 686 58 910 189

San Francisco, CA PMSA 115 -- 1 692 771 31 1 071 024 31 1 041 502 27 27 788 57 623 481

San Jose, CA PMSA 99 ------ 1 661 741 45 1 143 673 45 1 119 265 27 30 613 27 511 863

Santa Cruz–Watsonville, CA

PMSA 19 ------------------- 121 325 8 117 710 8 114 419 7 5 672 4 1 234

Santa Rosa, CA PMSA 31 ---- 458 825 12 276 762 12 272 183 8 (D) 11 (D)

Vallejo–Fairfield–Napa, CA

PMSA 37 ------------------- 439 378 18 315 644 18 311 750 5 (D) 14 (D)

San Luis Obispo–Atascadero–

Paso Robles, CA MSA 25 ------ 108 806 7 105 097 7 98 310 9 6 195 9 4 301 Santa Barbara–Santa

Maria–Lompoc, CA MSA 32 ---- 310 050 15 r221 243 15 (D) 4 (D) 13 (D)

Santa Fe, NM MSA 19 --------- 120 965 7 109 265 7 107 939 3 4 411 9 8 615 Sarasota–Bradenton, FL

MSA 56 ---------------------- 502 235 27 411 507 27 401 144 19 13 668 10 87 423 Savannah, GA MSA 39 --------- 308 208 14 222 566 14 218 764 16 (D) 9 (D)

Scranton–Wilkes-Barre–

Hazleton, PA MSA 87 --------- 659 309 38 574 288 38 538 454 33 32 374 16 88 481

Seattle–Tacoma–Bremerton,

WA CMSA 239 ----------------- 3 645 113 96 2 501 219 96 (D) 49 (D) 94 (D)

Bremerton, WA PMSA 18 ----- 256 687 8 (D) 8 (D) 6 (D) 4 (D)

Olympia, WA PMSA 18 ------- 273 953 10 (D) 10 (D) 3 (D) 5 (D)

Seattle–Bellevue–Everett,

WA PMSA 163 --------------- 2 473 175 59 1 654 758 59 1 614 499 34 29 981 70 828 695

Tacoma, WA PMSA 40 ------- 641 298 19 496 139 19 484 653 6 4 210 15 152 435

Sharon, PA MSA 22 ------------ 123 696 9 111 981 9 108 931 7 4 558 6 10 207 Sheboygan, WI MSA 16 -------- 119 853 9 95 538 9 94 909 5 (D) 2 (D)

Sherman–Denison, TX MSA 19 -- 138 073 8 r113 173 8 (D) 8 (D) 3 (D)

Shreveport–Bossier City, LA

MSA 64 ---------------------- 450 206 20 339 604 20 334 506 22 12 229 22 103 471 Sioux City, IA–NE MSA 14 ------ 162 712 10 r

159 282 10 (D) 3 (D) 1 (D)

Sioux Falls, SD MSA 23 -------- 238 864 12 r

190 821 12 (D) 3 (D) 8 (D)

South Bend, IN MSA 36 -------- 326 846 15 262 115 15 256 989 15 (D) 6 (D)

Spokane, WA MSA 31 ---------- 467 992 16 300 187 16 290 405 6 (D) 9 (D)

Springfield, IL MSA 25 ---------- 273 409 14 222 213 14 212 918 6 (D) 5 (D)

Springfield, MO MSA 38 -------- 428 564 16 343 861 16 340 016 9 (D) 13 (D)

See footnotes at end of table

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–83
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 74

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Food stores

(SIC 54)

Total Grocery stores

(SIC 541)

Meat and fish (seafood)

markets

(SIC 542)

Retail bakeries

(SIC 546)

Other food stores

(SIC 543, 4, 5, 9)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Phoenix–Mesa, AZ MSA 1 ----- 260 3 822 848 960 3 713 588 26 7 882 110 41 454 164 59 924

Pine Bluff, AR MSA 65 --------- 119 543 52 117 252 5 1 210 4 753 4 328

Pittsburgh, PA MSA 1 --------- 571 3 536 133 1 053 3 349 031 73 49 967 229 73 756 216 63 379

Pittsfield, MA MSA 77 ---------- 167 309 52 (D) 2 (D) 12 (D) 11 4 890

Portland, ME MSA 218 ---------- 462 598 160 440 730 17 9 271 20 6 196 21 6 401

Portland–Salem, OR–WA

CMSA 1 -------------------- 247 2 579 910 963 2 489 081 35 (D) 101 (D) 148 47 938

Portland–Vancouver,

OR–WA PMSA 1 ----------- 070 2 181 955 820 2 100 739 32 15 418 86 23 142 132 42 656

Salem, OR PMSA 177 --------- 397 955 143 388 342 3 (D) 15 (D) 16 5 282

Providence–Fall River–

Warwick, RI–MA MSA 852 ------ 1 660 651 484 1 517 760 63 38 358 214 73 876 91 30 657 Provo–Orem, UT MSA 86 ------- 322 461 57 314 689 – – 15 3 266 14 4 506 Pueblo, CO MSA 77 ------------ 189 629 52 182 877 4 2 804 7 1 278 14 2 670 Punta Gorda, FL MSA 67 ------- 177 254 48 170 260 3 (D) 7 (D) 9 2 039 Raleigh–Durham–Chapel Hill,

NC MSA 626 ------------------ 1 319 999 532 1 294 730 22 6 694 32 8 041 40 10 534

Rapid City, SD MSA 39 --------- 129 168 29 127 253 – – 3 (D) 7 (D)

Reading, PA MSA 224 ----------- 483 306 138 456 133 20 10 986 28 6 452 38 9 735

Redding, CA MSA 114 ----------- 283 798 95 279 635 2 (D) 10 (D) 7 2 140

Reno, NV MSA 162 ------------- 512 234 117 497 666 5 2 554 17 3 356 23 8 658

Richland–Kennewick–Pasco,

WA MSA 101 ------------------ 241 041 81 234 103 3 (D) 10 3 353 7 (D)

Richmond–Petersburg, VA

MSA 678 ---------------------- 1 419 347 568 1 378 983 30 22 087 44 8 719 36 9 558

Roanoke, VA MSA 211 ---------- 392 513 184 386 341 4 1 363 8 1 426 15 3 383

Rochester, MN MSA 36 --------- 159 889 16 153 435 1 (D) 12 2 911 7 (D)

Rochester, NY MSA 620 --------- 1 754 102 418 1 688 401 33 15 983 89 28 745 80 20 973

Rockford, IL MSA 144 ----------- 455 757 97 442 567 8 4 824 23 4 137 16 4 229

Rocky Mount, NC MSA 147 ------ 196 814 134 191 007 5 4 619 5 796 3 392

Sacramento–Yolo, CA CMSA 870 - 2 564 157 621 2 481 888 16 9 258 131 31 017 102 41 994 Sacramento, CA PMSA 779 ---- 2 324 119 550 2 247 824 16 9 258 120 28 815 93 38 222 Yolo, CA PMSA 91 ----------- 240 038 71 234 064 – – 11 2 202 9 3 772

Saginaw–Bay City–Midland, MI

MSA 367 ---------------------- 477 232 271 440 584 21 15 392 31 5 576 44 15 680

St. Cloud, MN MSA 86 --------- 208 485 53 196 229 7 3 577 15 3 687 11 4 992

St. Joseph, MO MSA 56 -------- 147 643 37 144 235 2 (D) 11 1 930 6 (D)

St. Louis, MO–IL MSA 1 ------- 396 3 474 405 965 3 321 741 79 43 045 193 60 231 159 49 388 Salinas, CA MSA 259 ------------ 509 141 144 471 538 14 7 734 50 12 979 51 16 890

Salt Lake City–Ogden, UT

MSA 489 ---------------------- 1 825 082 346 1 782 320 11 3 957 60 22 443 72 16 362

San Angelo, TX MSA 84 -------- 163 022 70 159 945 – – 8 1 988 6 1 089

San Antonio, TX MSA 827 ------- 2 004 264 648 1 951 020 33 21 223 85 15 786 61 16 235

San Diego, CA MSA 1 --------- 516 3 635 712 1 000 3 452 374 31 38 652 289 62 997 196 81 689

San Francisco–Oakland–San

Jose, CA CMSA 4 ------------ 380 10 218 913 2 652 9 413 494 249 161 934 791 247 282 688 396 203

Oakland, CA PMSA 1 ------- 286 3 343 121 847 3 130 795 63 34 178 197 58 488 179 119 660

San Francisco, CA PMSA 1 -- 548 2 643 359 836 2 277 854 120 86 921 319 106 788 273 171 796

San Jose, CA PMSA 810 ------ 2 322 195 487 2 198 728 29 21 022 167 47 487 127 54 958

Santa Cruz–Watsonville, CA

PMSA 188 ------------------- 428 010 108 387 039 13 10 061 31 15 370 36 15 540

Santa Rosa, CA PMSA 298 ---- 750 636 195 710 155 13 4 927 45 9 464 45 26 090

Vallejo–Fairfield–Napa, CA

PMSA 250 ------------------- 731 592 179 708 923 11 4 825 32 9 685 28 8 159

San Luis Obispo–Atascadero–

Paso Robles, CA MSA 159 ------ 341 332 104 327 485 7 2 747 25 4 888 23 6 212 Santa Barbara–Santa

Maria–Lompoc, CA MSA 251 ---- 612 700 150 580 241 7 4 443 55 13 317 39 14 699 Santa Fe, NM MSA 60 --------- 205 914 40 200 558 1 (D) 6 (D) 13 3 184 Sarasota–Bradenton, FL

MSA 318 ---------------------- 863 090 223 835 234 24 7 920 15 1 992 56 17 944 Savannah, GA MSA 160 --------- 350 080 134 334 992 10 8 185 5 (D) 11 (D)

Scranton–Wilkes-Barre–

Hazleton, PA MSA 490 --------- 929 226 326 878 403 25 12 778 80 21 058 59 16 987

Seattle–Tacoma–Bremerton,

WA CMSA 2 ----------------- 059 4 842 833 1 492 4 652 155 78 34 152 245 64 601 244 91 925

Bremerton, WA PMSA 125 ----- 276 492 96 269 562 7 1 282 13 3 436 9 2 212

Olympia, WA PMSA 113 ------- 262 306 86 255 348 4 456 12 2 754 11 3 748

Seattle–Bellevue–Everett,

WA PMSA 1 --------------- 496 3 511 078 1 049 3 361 120 52 24 615 194 51 579 201 73 764

Tacoma, WA PMSA 325 ------- 792 957 261 766 125 15 7 799 26 6 832 23 12 201

Sharon, PA MSA 78 ------------ 166 193 58 158 708 7 2 841 6 1 169 7 3 475 Sheboygan, WI MSA 55 -------- 164 313 36 159 142 4 2 303 9 1 935 6 933 Sherman–Denison, TX MSA 65 -- 121 018 50 119 016 – – 10 1 143 5 859 Shreveport–Bossier City, LA

MSA 272 ---------------------- 502 238 239 491 377 12 5 098 11 2 895 10 2 868 Sioux City, IA–NE MSA 67 ------ 178 347 49 173 319 2 (D) 6 2 056 10 (D)

Sioux Falls, SD MSA 79 -------- 209 628 54 204 052 5 1 104 12 2 415 8 2 057

South Bend, IN MSA 136 -------- 362 716 89 349 212 6 4 621 24 4 507 17 4 376

Spokane, WA MSA 232 ---------- 613 804 162 597 617 10 3 535 25 5 311 35 7 341

Springfield, IL MSA 95 ---------- 267 871 58 257 021 4 (D) 13 (D) 20 7 205 Springfield, MO MSA 146 -------- 404 393 112 397 097 4 (D) 15 (D) 15 3 391

See footnotes at end of table.

US–84nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 75

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Automotive dealers

(SIC 55 ex. 554)

Total New and used car dealers

(SIC 551)

Used car dealers

(SIC 552)

Auto and home supply stores

(SIC 553)

Miscellaneous automotive

dealers

(SIC 555, 6, 7, 9)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Phoenix–Mesa, AZ MSA 761 ----- 4 403 413 138 3 716 223 142 161 698 367 351 416 114 174 076

Pine Bluff, AR MSA 39 --------- 145 646 8 113 284 11 9 502 14 11 587 6 11 273

Pittsburgh, PA MSA 890 --------- 3 662 166 309 3 247 147 135 109 688 376 237 582 70 67 749

Pittsfield, MA MSA 44 ---------- 120 861 13 97 682 10 7 415 14 7 165 7 8 599

Portland, ME MSA 88 ---------- 341 452 20 290 101 20 8 651 34 18 831 14 23 869

Portland–Salem, OR–WA

CMSA 700 -------------------- 3 391 094 146 2 715 906 114 168 248 301 248 054 139 258 886

Portland–Vancouver,

OR–WA PMSA 581 ----------- 2 991 615 124 2 413 698 87 148 771 254 212 804 116 216 342

Salem, OR PMSA 119 --------- 399 479 22 302 208 27 19 477 47 35 250 23 42 544

Providence–Fall River–

Warwick, RI–MA MSA 365 ------ 1 266 448 105 1 057 782 99 54 325 127 112 290 34 42 051 Provo–Orem, UT MSA 93 ------- 316 033 27 253 018 19 22 903 38 28 735 9 11 377 Pueblo, CO MSA 66 ------------ 149 948 10 116 427 19 12 717 30 15 174 7 5 630 Punta Gorda, FL MSA 33 ------- 134 311 6 117 317 6 4 270 14 8 408 7 4 316 Raleigh–Durham–Chapel Hill,

NC MSA 326 ------------------ 1 444 636 74 1 274 031 78 42 645 152 101 743 22 26 217

Rapid City, SD MSA 59 --------- 216 787 11 179 778 14 8 991 23 12 130 11 15 888

Reading, PA MSA 134 ----------- 579 667 46 485 734 37 42 281 40 29 268 11 22 384

Redding, CA MSA 74 ----------- 192 260 12 132 615 13 11 178 29 21 239 20 27 228

Reno, NV MSA 120 ------------- 509 317 20 414 277 27 19 931 50 39 875 23 35 234

Richland–Kennewick–Pasco,

WA MSA 71 ------------------ 282 524 13 236 277 11 6 856 30 26 690 17 12 701

Richmond–Petersburg, VA

MSA 335 ---------------------- 1 430 145 73 1 235 890 87 57 443 138 94 872 37 41 940

Roanoke, VA MSA 101 ---------- 402 982 30 356 286 29 14 198 33 24 533 9 7 965

Rochester, MN MSA 37 --------- 232 662 9 198 640 9 6 290 9 8 336 10 19 396

Rochester, NY MSA 353 --------- 1 606 878 127 1 420 356 58 40 087 116 74 459 52 71 976

Rockford, IL MSA 136 ----------- 486 685 33 373 457 34 25 943 46 54 575 23 32 710

Rocky Mount, NC MSA 79 ------ 188 755 19 149 484 22 18 032 34 15 908 4 5 331

Sacramento–Yolo, CA CMSA 526 - 2 414 291 104 1 955 181 60 67 030 274 249 947 88 142 133 Sacramento, CA PMSA 483 ---- 2 262 131 92 1 851 219 56 63 121 254 236 989 81 110 802 Yolo, CA PMSA 43 ----------- 152 160 12 103 962 4 3 909 20 12 958 7 31 331

Saginaw–Bay City–Midland, MI

MSA 151 ---------------------- 723 828 45 627 187 19 8 821 64 46 918 23 40 902

St. Cloud, MN MSA 68 --------- 270 676 28 215 412 11 11 254 19 16 695 10 27 315

St. Joseph, MO MSA 42 -------- 132 910 12 103 629 11 (D) 13 10 397 6 (D)

St. Louis, MO–IL MSA 919 ------- 4 267 961 258 3 742 248 179 139 928 381 269 912 101 115 873 Salinas, CA MSA 108 ------------ 410 510 29 348 703 14 8 954 49 36 515 16 16 338

Salt Lake City–Ogden, UT

MSA 399 ---------------------- 1 937 671 84 1 535 866 83 133 219 177 150 681 55 117 905

San Angelo, TX MSA 56 -------- 178 101 11 147 387 18 10 652 22 14 890 5 5 172

San Antonio, TX MSA 472 ------- 2 249 403 67 1 896 444 107 101 203 257 186 507 41 65 249

San Diego, CA MSA 777 --------- 3 771 029 164 3 150 669 88 73 150 391 341 042 134 206 168

San Francisco–Oakland–San

Jose, CA CMSA 1 ------------ 728 9 336 207 463 8 022 724 162 173 823 837 750 045 266 389 615

Oakland, CA PMSA 592 ------- 2 921 279 153 2 427 458 53 87 218 287 276 158 99 130 445

San Francisco, CA PMSA 317 -- 2 005 683 115 1 812 615 20 15 112 132 123 674 50 54 282

San Jose, CA PMSA 436 ------ 2 725 369 104 2 373 805 43 33 943 236 208 591 53 109 030

Santa Cruz–Watsonville, CA

PMSA 82 ------------------- 455 131 14 387 252 12 13 442 42 29 371 14 25 066

Santa Rosa, CA PMSA 160 ---- 570 554 36 455 872 25 19 539 67 53 518 32 41 625

Vallejo–Fairfield–Napa, CA

PMSA 141 ------------------- 658 191 41 565 722 9 4 569 73 58 733 18 29 167

San Luis Obispo–Atascadero–

Paso Robles, CA MSA 68 ------ 206 482 17 170 397 2 (D) 38 24 285 11 (D)

Santa Barbara–Santa

Maria–Lompoc, CA MSA 109 ---- 389 161 26 327 916 11 9 054 52 35 800 20 16 391 Santa Fe, NM MSA 38 --------- 190 716 12 170 075 2 (D) 19 17 741 5 (D)

Sarasota–Bradenton, FL

MSA 211 ---------------------- 1 090 588 43 900 813 40 41 371 78 52 500 50 95 904 Savannah, GA MSA 117 --------- 427 543 22 353 917 28 25 881 51 35 970 16 11 775 Scranton–Wilkes-Barre–

Hazleton, PA MSA 297 --------- 875 406 98 713 460 80 66 415 92 79 151 27 16 380

Seattle–Tacoma–Bremerton,

WA CMSA 1 ----------------- 209 5 343 969 225 4 176 579 216 235 393 546 453 208 222 478 789

Bremerton, WA PMSA 84 ----- 313 482 18 246 702 18 21 125 38 31 539 10 14 116

Olympia, WA PMSA 81 ------- 251 464 11 195 050 16 11 015 34 22 312 20 23 087

Seattle–Bellevue–Everett,

WA PMSA 783 --------------- 3 706 709 152 2 928 793 129 162 617 353 305 172 149 310 127

Tacoma, WA PMSA 261 ------- 1 072 314 44 806 034 53 40 636 121 94 185 43 131 459

Sharon, PA MSA 55 ------------ 179 735 24 163 961 3 (D) 21 9 389 7 (D)

Sheboygan, WI MSA 42 -------- 159 627 18 136 451 13 12 916 6 4 192 5 6 068 Sherman–Denison, TX MSA 43 -- 184 227 15 164 856 4 3 895 17 8 124 7 7 352 Shreveport–Bossier City, LA

MSA 151 ---------------------- 666 310 27 564 309 33 25 038 74 47 263 17 29 700 Sioux City, IA–NE MSA 46 ------ 163 220 11 135 569 10 8 533 16 10 590 9 8 528

Sioux Falls, SD MSA 73 -------- 364 163 17 302 613 17 13 691 26 28 235 13 19 624

South Bend, IN MSA 86 -------- 438 877 16 389 178 24 21 137 37 19 807 9 8 755

Spokane, WA MSA 182 ---------- 709 386 34 564 953 47 33 554 61 52 816 40 58 063

Springfield, IL MSA 84 ---------- 379 873 24 329 135 22 24 117 27 19 369 11 7 252 Springfield, MO MSA 141 -------- 559 748 30 462 874 39 43 897 52 26 986 20 25 991

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–85
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 76

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Gasoline service stations

(SIC 554)

Apparel and accessory stores

(SIC 56)

Total

Men’s and boys’ clothing and

accessory stores

(SIC 561)

Women’s clothing and specialty stores

(SIC 562, 3)

Total Women’s clothing stores

(SIC 562)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Phoenix–Mesa, AZ MSA 587 ----- 1 238 680 1 223 783 083 113 63 703 444 264 602 365 236 505

Pine Bluff, AR MSA 47 --------- 40 274 62 33 351 6 2 396 27 11 488 24 10 926

Pittsburgh, PA MSA 938 --------- 1 111 977 1 377 899 596 145 87 847 575 364 135 471 328 783

Pittsfield, MA MSA 40 ---------- 47 858 105 71 018 14 8 682 50 24 737 45 (D)

Portland, ME MSA 98 ---------- 101 305 194 282 897 21 20 976 66 44 568 51 33 178

Portland–Salem, OR–WA

CMSA 544 -------------------- 884 986 801 803 957 86 44 903 294 163 873 243 145 505

Portland–Vancouver,

OR–WA PMSA 467 ----------- 740 412 702 728 003 77 40 609 255 149 224 210 132 053

Salem, OR PMSA 77 --------- 144 574 99 75 954 9 4 294 39 14 649 33 13 452

Providence–Fall River–

Warwick, RI–MA MSA 502 ------ 606 042 658 502 253 95 53 555 273 200 028 238 183 630 Provo–Orem, UT MSA 99 ------- 129 696 117 56 464 8 5 583 45 18 170 38 16 680 Pueblo, CO MSA 56 ------------ 54 512 58 22 550 6 (D) 21 7 778 19 (D)

Punta Gorda, FL MSA 39 ------- 62 293 75 45 125 4 1 815 32 13 840 25 11 805 Raleigh–Durham–Chapel Hill,

NC MSA 421 ------------------ 514 748 610 418 257 69 48 676 253 140 510 218 126 499

Rapid City, SD MSA 53 --------- 66 054 73 36 032 12 6 966 34 13 448 29 12 493

Reading, PA MSA 132 ----------- 156 268 250 255 170 37 27 560 89 48 934 68 41 343

Redding, CA MSA 70 ----------- 108 013 93 40 711 6 3 719 35 10 267 30 9 338

Reno, NV MSA 87 ------------- 176 842 174 112 711 14 (D) 67 33 646 55 29 060

Richland–Kennewick–Pasco,

WA MSA 67 ------------------ 77 178 80 39 819 7 3 086 23 10 328 20 (D)

Richmond–Petersburg, VA

MSA 368 ---------------------- 555 880 572 384 117 82 63 908 239 147 547 204 132 877

Roanoke, VA MSA 112 ---------- 151 940 173 92 215 17 11 900 82 38 390 74 35 127

Rochester, MN MSA 55 --------- 80 534 92 56 608 11 7 446 48 25 097 39 23 494

Rochester, NY MSA 407 --------- 614 780 521 378 852 62 33 737 190 136 216 164 125 485

Rockford, IL MSA 154 ----------- 212 444 174 83 733 17 8 292 75 31 073 64 28 800

Rocky Mount, NC MSA 72 ------ 71 378 86 47 906 8 (D) 34 16 334 31 (D)

Sacramento–Yolo, CA CMSA 426 - 828 062 726 544 304 69 47 732 270 142 082 239 (D)

Sacramento, CA PMSA 379 ---- 739 045 676 522 263 66 46 327 257 135 696 227 121 966 Yolo, CA PMSA 47 ----------- 89 017 50 22 041 3 1 405 13 6 386 12 (D)

Saginaw–Bay City–Midland, MI

MSA 158 ---------------------- 238 914 299 209 470 31 21 792 122 63 666 100 58 321

St. Cloud, MN MSA 73 --------- 95 924 76 44 441 11 (D) 35 17 796 29 16 709

St. Joseph, MO MSA 59 -------- 74 893 42 17 726 5 (D) 17 6 222 15 (D)

St. Louis, MO–IL MSA 1 ------- 101 1 517 346 1 400 926 121 159 96 995 585 376 448 483 341 572 Salinas, CA MSA 113 ------------ 161 441 266 165 569 26 15 236 105 63 278 92 57 965

Salt Lake City–Ogden, UT

MSA 405 ---------------------- 542 493 558 431 875 47 25 903 215 103 925 172 91 639

San Angelo, TX MSA 51 -------- 34 631 60 33 956 7 2 326 25 11 034 22 10 418

San Antonio, TX MSA 474 ------- 673 870 792 621 491 71 54 713 343 214 414 277 191 938

San Diego, CA MSA 598 --------- 1 224 697 1 398 1 192 441 171 116 993 522 277 573 450 248 926

San Francisco–Oakland–San

Jose, CA CMSA 1 ------------ 700 2 967 832 3 736 3 413 098 468 350 138 1 490 961 558 1 252 870 846

Oakland, CA PMSA 564 ------- 1 008 426 1 052 896 984 116 69 914 412 255 304 336 230 080

San Francisco, CA PMSA 410 -- 690 559 1 286 1 362 273 185 161 697 527 393 549 440 356 614

San Jose, CA PMSA 401 ------ 713 496 796 817 675 111 81 105 298 214 682 255 194 062

Santa Cruz–Watsonville, CA

PMSA 67 ------------------- 106 117 149 72 948 11 6 705 70 25 170 57 21 941

Santa Rosa, CA PMSA 126 ---- 217 704 194 114 394 16 11 878 80 31 819 69 29 017

Vallejo–Fairfield–Napa, CA

PMSA 132 ------------------- 231 530 259 148 824 29 18 839 103 41 034 95 39 132

San Luis Obispo–Atascadero–

Paso Robles, CA MSA 81 ------ 132 867 139 48 871 9 3 374 68 18 003 61 16 791 Santa Barbara–Santa

Maria–Lompoc, CA MSA 122 ---- 185 621 278 190 535 30 13 610 109 51 318 95 46 354 Santa Fe, NM MSA 37 --------- 49 960 138 72 664 4 1 629 68 34 625 60 31 351 Sarasota–Bradenton, FL

MSA 191 ---------------------- 290 082 415 270 629 38 15 067 179 79 518 156 71 540 Savannah, GA MSA 126 --------- 181 377 219 130 741 27 13 357 98 46 794 81 (D)

Scranton–Wilkes-Barre–

Hazleton, PA MSA 266 --------- 288 787 381 221 754 40 16 685 157 83 770 134 77 422

Seattle–Tacoma–Bremerton,

WA CMSA 856 ----------------- 1 507 418 1 425 1 448 245 147 96 877 489 242 532 428 (D)

Bremerton, WA PMSA 55 ----- 90 869 97 45 377 6 2 984 34 11 449 31 10 744

Olympia, WA PMSA 47 ------- 78 983 77 42 265 7 2 068 30 10 238 28 (D)

Seattle–Bellevue–Everett,

WA PMSA 589 --------------- 1 047 390 1 024 1 172 128 111 80 245 347 186 561 298 166 804

Tacoma, WA PMSA 165 ------- 290 176 227 188 475 23 11 580 78 34 284 71 (D)

Sharon, PA MSA 59 ------------ 54 183 57 42 366 8 2 460 27 16 650 25 (D)

Sheboygan, WI MSA 47 -------- 52 861 33 12 848 4 (D) 13 6 154 12 (D)

Sherman–Denison, TX MSA 60 -- 61 325 45 19 947 2 (D) 23 7 822 18 6 857 Shreveport–Bossier City, LA

MSA 183 ---------------------- 235 013 226 119 140 18 8 859 92 41 711 82 39 047 Sioux City, IA–NE MSA 67 ------ 77 864 79 40 020 10 5 811 38 17 323 33 16 401

Sioux Falls, SD MSA 90 -------- 118 206 104 67 551 13 9 363 40 29 431 35 (D)

South Bend, IN MSA 104 -------- 108 751 139 85 735 15 10 538 61 33 957 52 30 487

Spokane, WA MSA 139 ---------- 198 549 210 169 101 20 12 045 68 29 237 53 24 819

Springfield, IL MSA 75 ---------- 107 331 120 72 838 20 10 701 43 28 740 36 (D)

Springfield, MO MSA 157 -------- 208 396 161 92 384 17 8 356 64 38 904 55 (D)

See footnotes at end of table.

US–86nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 77

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Apparel and accessory stores

(SIC 56)mCon.

Women’s clothing and specialty stores (SIC 562, 3)mCon.

Women’s accessory and specialty stores

(SIC 563)

Family clothing stores

(SIC 565)

Shoe stores

(SIC 566)

Other apparel and accessory stores (SIC 564, 9)

Furniture and homefurnishings

stores (SIC 57)

Total

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Phoenix–Mesa, AZ MSA 79 ----- 28 097 161 247 717 331 149 606 174 57 455 1 046 942 343

Pine Bluff, AR MSA 3 --------- 562 7 12 876 15 5 476 7 1 115 37 20 020

Pittsburgh, PA MSA 104 --------- 35 352 138 215 907 399 184 197 120 47 510 959 806 790

Pittsfield, MA MSA 5 ---------- (D) 14 25 308 20 9 246 7 3 045 57 31 790

Portland, ME MSA 15 ---------- 11 390 42 168 144 47 37 343 18 11 866 118 81 022

Portland–Salem, OR–WA

CMSA 51 -------------------- 18 368 140 466 558 198 98 683 83 29 940 889 819 004

Portland–Vancouver,

OR–WA PMSA 45 ----------- 17 171 126 422 101 166 87 067 78 29 002 780 729 448

Salem, OR PMSA 6 --------- 1 197 14 44 457 32 11 616 5 938 109 89 556

Providence–Fall River–

Warwick, RI–MA MSA 35 ------ 16 398 68 139 876 162 79 570 60 29 224 450 327 663 Provo–Orem, UT MSA 7 ------- 1 490 17 13 526 36 14 883 11 4 302 78 95 663 Pueblo, CO MSA 2 ------------ (D) 2 (D) 25 8 235 4 (D) 54 35 727 Punta Gorda, FL MSA 7 ------- 2 035 9 20 860 22 6 662 8 1 948 84 41 857 Raleigh–Durham–Chapel Hill,

NC MSA 35 ------------------ 14 011 65 137 728 172 75 858 51 15 485 520 378 718

Rapid City, SD MSA 5 --------- 955 7 7 736 17 7 687 3 195 52 42 036

Reading, PA MSA 21 ----------- 7 591 37 124 760 67 39 285 20 14 631 151 123 203

Redding, CA MSA 5 ----------- 929 16 14 409 26 9 793 10 2 523 83 51 791

Reno, NV MSA 12 ------------- 4 586 22 34 324 46 24 336 25 (D) 129 136 611

Richland–Kennewick–Pasco,

WA MSA 3 ------------------ (D) 17 15 107 26 9 660 7 1 638 79 52 299

Richmond–Petersburg, VA

MSA 35 ---------------------- 14 670 56 81 280 143 68 253 52 23 129 429 332 135

Roanoke, VA MSA 8 ---------- 3 263 12 17 184 47 19 438 15 5 303 140 118 123

Rochester, MN MSA 9 --------- 1 603 9 11 708 19 10 211 5 2 146 63 67 264

Rochester, NY MSA 26 --------- 10 731 63 113 853 165 77 429 41 17 617 401 341 526

Rockford, IL MSA 11 ----------- 2 273 20 21 208 49 20 233 13 2 927 137 153 598

Rocky Mount, NC MSA 3 ------ (D) 11 17 404 27 9 986 6 (D) 84 37 519

Sacramento–Yolo, CA CMSA 31 - (D) 84 216 391 197 90 771 106 47 328 662 659 897 Sacramento, CA PMSA 30 ---- 13 730 75 209 725 179 84 694 99 45 821 621 638 124 Yolo, CA PMSA 1 ----------- (D) 9 6 666 18 6 077 7 1 507 41 21 773

Saginaw–Bay City–Midland, MI

MSA 22 ---------------------- 5 345 41 70 522 77 38 470 28 15 020 203 166 547

St. Cloud, MN MSA 6 --------- 1 087 10 11 375 17 9 159 3 (D) 70 58 985

St. Joseph, MO MSA 2 -------- (D) 1 (D) 16 7 308 3 (D) 44 28 008

St. Louis, MO–IL MSA 102 ------- 34 876 156 223 861 375 169 446 125 59 371 1 052 926 579 Salinas, CA MSA 13 ------------ 5 313 49 45 778 53 26 507 33 14 770 165 111 140

Salt Lake City–Ogden, UT

MSA 43 ---------------------- 12 286 67 199 532 164 68 528 65 33 987 467 495 152

San Angelo, TX MSA 3 -------- 616 11 15 103 13 5 020 4 473 55 34 231

San Antonio, TX MSA 66 ------- 22 476 108 224 244 196 101 974 74 26 146 451 422 389

San Diego, CA MSA 72 --------- 28 647 178 526 807 358 202 417 169 68 651 1 128 1 182 513

San Francisco–Oakland–San

Jose, CA CMSA 238 ------------ 90 712 510 1 433 654 865 475 377 403 192 371 3 211 3 613 802

Oakland, CA PMSA 76 ------- 25 224 130 379 402 268 135 076 126 57 288 977 1 061 349

San Francisco, CA PMSA 87 -- 36 935 203 574 408 239 152 769 132 79 850 971 1 082 435

San Jose, CA PMSA 43 ------ 20 620 94 369 764 211 116 492 82 35 632 716 1 097 890

Santa Cruz–Watsonville, CA

PMSA 13 ------------------- 3 229 24 23 874 32 14 250 12 2 949 117 62 025

Santa Rosa, CA PMSA 11 ---- 2 802 26 41 367 51 25 102 21 4 228 234 181 970

Vallejo–Fairfield–Napa, CA

PMSA 8 ------------------- 1 902 33 44 839 64 31 688 30 12 424 196 128 133

San Luis Obispo–Atascadero–

Paso Robles, CA MSA 7 ------ 1 212 13 9 627 33 12 885 16 4 982 122 64 146 Santa Barbara–Santa

Maria–Lompoc, CA MSA 14 ---- 4 964 38 87 347 67 28 463 34 9 797 207 147 799 Santa Fe, NM MSA 8 --------- 3 274 23 19 864 26 12 743 17 3 803 98 75 169 Sarasota–Bradenton, FL

MSA 23 ---------------------- 7 978 65 115 909 89 41 060 44 19 075 360 276 420 Savannah, GA MSA 17 --------- (D) 20 35 993 52 24 624 22 9 973 134 97 096 Scranton–Wilkes-Barre–

Hazleton, PA MSA 23 --------- 6 348 37 56 247 110 49 617 37 15 435 236 153 267

Seattle–Tacoma–Bremerton,

WA CMSA 61 ----------------- (D) 221 890 701 405 170 113 163 48 022 1 631 1 539 644

Bremerton, WA PMSA 3 ----- 705 15 19 155 32 9 501 10 2 288 85 70 993

Olympia, WA PMSA 2 ------- (D) 13 20 640 23 8 836 4 483 83 69 072

Seattle–Bellevue–Everett,

WA PMSA 49 --------------- 19 757 161 741 567 277 124 836 128 38 919 1 221 1 165 220

Tacoma, WA PMSA 7 ------- (D) 32 109 339 73 26 940 21 6 332 242 234 359

Sharon, PA MSA 2 ------------ (D) – – 18 22 847 4 409 53 33 497 Sheboygan, WI MSA 1 -------- (D) 1 (D) 14 3 762 1 (D) 40 24 309 Sherman–Denison, TX MSA 5 -- 965 6 (D) 12 4 951 2 (D) 36 21 542 Shreveport–Bossier City, LA

MSA 10 ---------------------- 2 664 27 37 456 70 25 621 19 5 493 146 120 304 Sioux City, IA–NE MSA 5 ------ 922 7 5 115 17 9 424 7 2 347 53 42 627

Sioux Falls, SD MSA 5 -------- (D) 11 (D) 29 11 987 11 (D) 77 79 223

South Bend, IN MSA 9 -------- 3 470 12 17 471 40 18 848 11 4 921 113 102 888

Spokane, WA MSA 15 ---------- 4 418 33 96 329 65 22 967 24 8 523 172 161 761

Springfield, IL MSA 7 ---------- (D) 9 13 466 35 14 120 13 5 811 83 83 921 Springfield, MO MSA 9 -------- (D) 17 19 397 43 19 915 20 5 812 142 132 452

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–87
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 78

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Furniture and homefurnishings stores

(SIC 57)mCon.

Furniture stores (SIC 5712)Homefurnishings stores

(SIC 5713, 4, 9)

Household appliance stores

(SIC 572)

Radio, television,

computer, and music stores

(SIC 573)

Eating and drinking places

(SIC 58)

Total Eating places

(SIC 5812)

Total

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Phoenix–Mesa, AZ MSA 303 ----- 306 708 320 172 423 72 71 737 351 391 475 3 978 1 931 896 3 460 1 806 502

Pine Bluff, AR MSA 14 --------- 9 599 6 (D) 3 (D) 14 6 316 116 45 610 105 44 115

Pittsburgh, PA MSA 288 --------- 277 755 285 153 112 74 56 916 312 319 007 4 449 1 786 861 3 473 1 626 823

Pittsfield, MA MSA 9 ---------- 7 677 24 10 656 6 4 592 18 8 865 215 72 945 183 68 705

Portland, ME MSA 37 ---------- 30 557 44 24 927 11 8 048 26 17 490 516 231 607 462 218 288

Portland–Salem, OR–WA

CMSA 217 -------------------- 303 787 313 191 001 65 63 729 294 260 487 3 515 1 620 818 3 034 1 501 293

Portland–Vancouver,

OR–WA PMSA 186 ----------- 270 563 275 171 245 59 53 713 260 233 927 3 013 1 419 386 2 597 1 312 548

Salem, OR PMSA 31 --------- 33 224 38 19 756 6 10 016 34 26 560 502 201 432 437 188 745

Providence–Fall River–

Warwick, RI–MA MSA 123 ------ 121 749 162 97 299 27 20 170 138 88 445 2 180 812 066 1 852 752 856 Provo–Orem, UT MSA 18 ------- 47 280 22 15 006 9 4 347 29 29 030 278 115 546 268 114 236 Pueblo, CO MSA 16 ------------ 10 454 15 (D) 4 (D) 19 12 630 286 90 668 221 82 427 Punta Gorda, FL MSA 22 ------- 18 152 28 10 248 12 4 404 22 9 053 160 75 516 153 74 109 Raleigh–Durham–Chapel Hill,

NC MSA 163 ------------------ 124 046 151 94 207 49 26 369 157 134 096 1 731 806 183 1 652 787 900

Rapid City, SD MSA 15 --------- 18 071 10 5 341 7 2 910 20 15 714 189 85 368 153 76 832

Reading, PA MSA 33 ----------- 28 394 48 29 344 22 17 921 48 47 544 617 235 021 518 216 705

Redding, CA MSA 21 ----------- 16 762 34 17 976 3 (D) 25 (D) 319 106 135 274 98 278

Reno, NV MSA 38 ------------- 39 966 41 26 133 9 3 770 41 66 742 558 232 325 449 211 339

Richland–Kennewick–Pasco,

WA MSA 22 ------------------ 16 223 21 13 099 12 9 393 24 13 584 253 111 013 212 100 020

Richmond–Petersburg, VA

MSA 137 ---------------------- 113 581 136 76 196 28 27 042 128 115 316 1 438 658 146 1 419 654 255

Roanoke, VA MSA 33 ---------- 37 785 48 30 030 12 8 301 47 42 007 415 183 123 398 179 373

Rochester, MN MSA 15 --------- 12 852 25 22 580 7 5 629 16 26 203 183 97 631 171 92 576

Rochester, NY MSA 120 --------- 114 099 117 68 642 29 48 152 135 110 633 1 902 712 380 1 604 662 142

Rockford, IL MSA 40 ----------- 38 898 35 20 522 19 15 864 43 78 314 600 232 079 504 215 057

Rocky Mount, NC MSA 37 ------ 19 177 19 4 988 7 1 892 21 11 462 173 91 953 169 91 502

Sacramento–Yolo, CA CMSA 159 - 158 175 237 159 912 57 88 119 209 253 691 2 809 1 256 033 2 537 1 194 560 Sacramento, CA PMSA 151 ---- 153 526 228 156 955 54 83 956 188 243 687 2 576 1 148 116 2 331 1 092 555 Yolo, CA PMSA 8 ----------- 4 649 9 2 957 3 4 163 21 10 004 233 107 917 206 102 005

Saginaw–Bay City–Midland, MI

MSA 46 ---------------------- 49 262 67 46 484 27 20 844 63 49 957 639 302 692 497 278 031

St. Cloud, MN MSA 26 --------- 21 812 17 5 893 11 7 284 16 23 996 288 117 772 216 102 185

St. Joseph, MO MSA 7 -------- 9 623 12 6 363 4 3 206 21 8 816 176 73 023 144 69 453

St. Louis, MO–IL MSA 292 ------- 276 368 342 201 575 94 60 057 324 388 579 4 392 2 139 855 3 663 2 010 648 Salinas, CA MSA 40 ------------ 21 943 64 36 137 7 5 332 54 47 728 668 333 376 617 322 529

Salt Lake City–Ogden, UT

MSA 121 ---------------------- 245 125 115 68 428 46 30 994 185 150 605 1 633 807 533 1 490 777 614

San Angelo, TX MSA 18 -------- 10 430 13 7 415 5 1 597 19 14 789 161 74 892 146 71 811

San Antonio, TX MSA 129 ------- 137 094 117 89 556 33 30 005 172 165 734 2 258 1 191 408 1 979 1 121 681

San Diego, CA MSA 312 --------- 316 894 343 240 076 68 66 709 405 558 834 4 245 2 273 646 3 852 2 167 123

San Francisco–Oakland–San

Jose, CA CMSA 788 ------------ 795 117 1 052 706 084 204 197 110 1 167 1 915 491 12 432 6 272 861 11 217 5 963 769

Oakland, CA PMSA 239 ------- 250 095 330 221 708 59 60 944 349 528 602 3 568 1 694 090 3 235 1 620 168

San Francisco, CA PMSA 232 -- 261 344 328 210 048 54 55 299 357 555 744 4 143 2 245 362 3 692 2 122 072

San Jose, CA PMSA 155 ------ 180 005 210 179 957 48 54 385 303 683 543 2 744 1 447 700 2 524 1 383 740

Santa Cruz–Watsonville, CA

PMSA 31 ------------------- 15 685 40 17 002 4 1 101 42 28 237 491 205 719 442 194 275

Santa Rosa, CA PMSA 79 ---- 53 692 69 39 374 19 12 441 67 76 463 749 319 683 670 298 670

Vallejo–Fairfield–Napa, CA

PMSA 52 ------------------- 34 296 75 37 995 20 12 940 49 42 902 737 360 307 654 344 844

San Luis Obispo–Atascadero–

Paso Robles, CA MSA 36 ------ 22 044 37 15 490 11 6 775 38 19 837 493 217 969 452 209 839 Santa Barbara–Santa

Maria–Lompoc, CA MSA 53 ---- 33 461 74 40 167 13 10 325 67 63 846 705 339 675 650 326 550 Santa Fe, NM MSA 23 --------- 20 959 45 32 973 7 3 566 23 17 671 259 154 380 247 151 754 Sarasota–Bradenton, FL

MSA 121 ---------------------- 103 992 133 80 200 27 26 891 79 65 337 857 455 056 786 437 991 Savannah, GA MSA 39 --------- 34 216 46 21 567 12 8 087 37 33 226 470 237 822 428 228 678 Scranton–Wilkes-Barre–

Hazleton, PA MSA 80 --------- 70 278 71 38 000 21 11 789 64 33 200 1 194 426 674 988 398 937

Seattle–Tacoma–Bremerton,

WA CMSA 434 ----------------- 428 274 506 331 776 151 147 023 540 632 571 5 981 2 934 898 5 255 2 743 259

Bremerton, WA PMSA 23 ----- 13 611 19 13 798 14 15 659 29 27 925 308 136 809 257 126 455

Olympia, WA PMSA 24 ------- 15 997 23 16 667 6 9 694 30 26 714 305 139 048 268 129 802

Seattle–Bellevue–Everett,

WA PMSA 313 --------------- 312 904 396 261 691 105 101 818 407 488 807 4 396 2 198 297 3 898 2 058 657

Tacoma, WA PMSA 74 ------- 85 762 68 39 620 26 19 852 74 89 125 972 460 744 832 428 345

Sharon, PA MSA 12 ------------ 12 927 15 3 250 6 1 636 20 15 684 220 81 537 171 74 907 Sheboygan, WI MSA 12 -------- 6 095 8 4 687 9 9 151 11 4 376 194 59 456 142 52 382 Sherman–Denison, TX MSA 12 -- 8 318 10 6 620 2 (D) 12 (D) 160 62 430 149 59 927 Shreveport–Bossier City, LA

MSA 52 ---------------------- 51 656 42 20 981 11 4 455 41 43 212 469 236 324 425 229 211 Sioux City, IA–NE MSA 16 ------ (D) 15 11 275 7 (D) 15 10 745 243 86 550 187 79 400

Sioux Falls, SD MSA 19 -------- 27 170 21 10 609 9 7 675 28 33 769 313 139 947 256 126 754

South Bend, IN MSA 31 -------- 36 130 32 25 658 6 3 381 44 37 719 483 215 109 405 197 451

Spokane, WA MSA 44 ---------- 62 693 45 28 130 21 17 087 62 53 851 706 313 578 594 291 131

Springfield, IL MSA 24 ---------- 24 294 21 14 274 9 12 486 29 32 867 421 177 901 331 162 937 Springfield, MO MSA 43 -------- 39 184 43 30 145 11 7 395 45 55 728 488 247 002 422 230 194

See footnotes at end of table.

US–88nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 79

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Eating and drinking places

(SIC 58)mCon.

Eating places

(SIC 5812)mCon.

Restaurants

(SIC 5812 pt.)

Cafeterias

(SIC 5812 pt.)

Refreshment places

(SIC 5812 pt.)

Other eating places

(SIC 5812 pt.)

Drinking places

(SIC 5813)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Phoenix–Mesa, AZ MSA 1 ----- 442 833 457 69 50 289 1 541 747 674 408 175 082 518 125 394

Pine Bluff, AR MSA 34 --------- 8 594 1 (D) 64 31 518 6 (D) 11 1 495

Pittsburgh, PA MSA 1 --------- 533 828 817 24 14 417 1 450 556 554 466 227 035 976 160 038

Pittsfield, MA MSA 96 ---------- 40 069 2 (D) 68 25 452 17 (D) 32 4 240

Portland, ME MSA 216 ---------- 114 672 1 (D) 197 89 087 48 (D) 54 13 319

Portland–Salem, OR–WA

CMSA 1 -------------------- 422 743 372 59 25 971 1 291 612 948 262 119 002 481 119 525

Portland–Vancouver,

OR–WA PMSA 1 ----------- 208 650 086 46 21 136 1 112 532 767 231 108 559 416 106 838

Salem, OR PMSA 214 --------- 93 286 13 4 835 179 80 181 31 10 443 65 12 687

Providence–Fall River–

Warwick, RI–MA MSA 942 ------ 425 183 16 3 915 707 260 803 187 62 955 328 59 210 Provo–Orem, UT MSA 93 ------- 38 312 1 (D) 149 70 203 25 (D) 10 1 310 Pueblo, CO MSA 107 ------------ 32 884 5 (D) 81 39 565 28 (D) 65 8 241 Punta Gorda, FL MSA 78 ------- 39 634 2 (D) 58 27 163 15 (D) 7 1 407 Raleigh–Durham–Chapel Hill,

NC MSA 665 ------------------ 313 830 18 19 509 747 361 058 222 93 503 79 18 283

Rapid City, SD MSA 70 --------- 36 668 2 (D) 74 37 876 7 (D) 36 8 536

Reading, PA MSA 261 ----------- 111 888 3 (D) 212 83 191 42 (D) 99 18 316

Redding, CA MSA 114 ----------- 44 662 4 2 191 130 48 131 26 3 294 45 7 857

Reno, NV MSA 188 ------------- 86 461 2 (D) 212 105 133 47 (D) 109 20 986

Richland–Kennewick–Pasco,

WA MSA 82 ------------------ 40 297 5 2 015 109 55 050 16 2 658 41 10 993

Richmond–Petersburg, VA

MSA 607 ---------------------- 266 669 30 18 854 618 308 399 164 60 333 19 3 891

Roanoke, VA MSA 186 ---------- 74 783 7 14 320 175 83 900 30 6 370 17 3 750

Rochester, MN MSA 76 --------- 47 691 2 (D) 76 38 049 17 (D) 12 5 055

Rochester, NY MSA 755 --------- 325 296 14 4 620 573 246 861 262 85 365 298 50 238

Rockford, IL MSA 237 ----------- 97 692 5 4 293 225 102 437 37 10 635 96 17 022

Rocky Mount, NC MSA 69 ------ 37 370 4 (D) 84 45 632 12 (D) 4 451

Sacramento–Yolo, CA CMSA 1 - 120 568 377 57 (D) 1 122 (D) 238 (D) 272 61 473 Sacramento, CA PMSA 1 ---- 025 525 138 55 21 588 1 044 473 859 207 71 970 245 55 561 Yolo, CA PMSA 95 ----------- 43 239 2 (D) 78 (D) 31 (D) 27 5 912

Saginaw–Bay City–Midland, MI

MSA 216 ---------------------- 133 504 7 3 647 218 124 472 56 16 408 142 24 661

St. Cloud, MN MSA 101 --------- 50 499 2 (D) 97 42 492 16 (D) 72 15 587

St. Joseph, MO MSA 58 -------- 27 720 3 (D) 69 34 634 14 (D) 32 3 570

St. Louis, MO–IL MSA 1 ------- 434 812 018 62 44 425 1 654 902 150 513 252 055 729 129 207 Salinas, CA MSA 356 ------------ 198 787 4 (D) 206 105 468 51 (D) 51 10 847

Salt Lake City–Ogden, UT

MSA 516 ---------------------- 273 246 32 9 753 801 406 159 141 88 456 143 29 919

San Angelo, TX MSA 59 -------- 27 105 4 (D) 70 35 851 13 (D) 15 3 081

San Antonio, TX MSA 799 ------- 456 637 69 69 186 953 522 303 158 73 555 279 69 727

San Diego, CA MSA 1 --------- 723 1 058 147 62 41 399 1 738 871 474 329 196 103 393 106 523

San Francisco–Oakland–San

Jose, CA CMSA 5 ------------ 631 3 156 150 279 113 321 4 265 2 091 808 1 042 602 490 1 215 309 092

Oakland, CA PMSA 1 ------- 508 787 212 76 30 163 1 340 672 776 311 130 017 333 73 922

San Francisco, CA PMSA 2 -- 087 1 255 954 106 32 159 1 214 548 815 285 285 144 451 123 290

San Jose, CA PMSA 1 ------ 139 667 666 72 40 499 1 010 530 749 303 144 826 220 63 960

Santa Cruz–Watsonville, CA

PMSA 218 ------------------- 100 683 6 2 324 178 77 799 40 13 469 49 11 444

Santa Rosa, CA PMSA 351 ---- 165 109 14 6 631 248 111 593 57 15 337 79 21 013

Vallejo–Fairfield–Napa, CA

PMSA 328 ------------------- 179 526 5 1 545 275 150 076 46 13 697 83 15 463

San Luis Obispo–Atascadero–

Paso Robles, CA MSA 246 ------ 131 500 6 1 395 163 70 526 37 6 418 41 8 130 Santa Barbara–Santa

Maria–Lompoc, CA MSA 340 ---- 186 580 1 (D) 249 119 667 60 (D) 55 13 125 Santa Fe, NM MSA 136 --------- 91 434 4 (D) 93 47 293 14 (D) 12 2 626 Sarasota–Bradenton, FL

MSA 417 ---------------------- 274 346 11 14 299 298 127 975 60 21 371 71 17 065 Savannah, GA MSA 187 --------- 112 134 5 (D) 210 99 522 26 (D) 42 9 144 Scranton–Wilkes-Barre–

Hazleton, PA MSA 494 --------- 191 582 6 1 270 369 156 550 119 49 535 206 27 737

Seattle–Tacoma–Bremerton,

WA CMSA 2 ----------------- 428 1 450 970 93 (D) 2 354 1 043 376 380 (D) 726 191 639

Bremerton, WA PMSA 117 ----- 66 471 3 (D) 127 56 707 10 (D) 51 10 354

Olympia, WA PMSA 127 ------- 69 916 9 2 945 120 53 319 12 3 622 37 9 246

Seattle–Bellevue–Everett,

WA PMSA 1 --------------- 799 1 097 874 65 27 678 1 723 750 730 311 182 375 498 139 640

Tacoma, WA PMSA 385 ------- 216 709 16 9 310 384 182 620 47 19 706 140 32 399

Sharon, PA MSA 77 ------------ 41 205 1 (D) 82 30 595 11 (D) 49 6 630 Sheboygan, WI MSA 84 -------- 26 728 1 (D) 51 25 146 6 (D) 52 7 074 Sherman–Denison, TX MSA 59 -- 19 963 4 (D) 78 29 393 8 (D) 11 2 503 Shreveport–Bossier City, LA

MSA 149 ---------------------- 78 397 10 12 096 243 132 986 23 5 732 44 7 113 Sioux City, IA–NE MSA 68 ------ 27 453 3 (D) 103 45 372 13 (D) 56 7 150

Sioux Falls, SD MSA 110 -------- 55 505 8 (D) 127 63 913 11 (D) 57 13 193

South Bend, IN MSA 177 -------- 85 083 3 3 057 187 91 739 38 17 572 78 17 658

Spokane, WA MSA 275 ---------- 142 001 5 697 263 128 749 51 19 684 112 22 447

Springfield, IL MSA 136 ---------- 62 316 7 6 825 147 82 221 41 11 575 90 14 964 Springfield, MO MSA 166 -------- 96 037 6 6 973 218 114 151 32 13 033 66 16 808

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–89
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 80

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Drug and proprietary stores

(SIC 591)

Miscellaneous retail stores

(SIC 59 ex. 591)

Total Liquor stores

(SIC 592)

Used merchandise stores

(SIC 593)

Miscellaneous shopping goods

stores (SIC 594)

Total

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Phoenix–Mesa, AZ MSA 274 ----- 731 613 2 680 1 671 830 110 41 018 187 69 606 1 243 680 820

Pine Bluff, AR MSA 20 --------- 13 727 107 39 851 23 8 214 14 1 495 36 18 409

Pittsburgh, PA MSA 577 --------- 899 094 2 838 1 756 516 328 314 821 120 35 982 1 176 585 555

Pittsfield, MA MSA 20 ---------- (D) 170 (D) 25 17 165 13 2 505 60 28 367

Portland, ME MSA 39 ---------- 65 880 381 699 666 10 (D) 25 (D) 179 98 767

Portland–Salem, OR–WA

CMSA 218 -------------------- 379 188 2 279 1 416 546 173 128 327 203 68 849 968 583 452

Portland–Vancouver,

OR–WA PMSA 179 ----------- 313 767 1 974 1 284 511 152 112 664 172 60 693 834 516 633

Salem, OR PMSA 39 --------- 65 421 305 132 035 21 15 663 31 8 156 134 66 819

Providence–Fall River–

Warwick, RI–MA MSA 238 ------ 458 617 1 474 977 894 240 182 981 67 14 778 519 273 758 Provo–Orem, UT MSA 26 ------- 32 995 236 122 971 7 4 284 10 5 149 117 62 929 Pueblo, CO MSA 21 ------------ 20 566 153 148 560 27 11 982 17 2 703 45 17 771 Punta Gorda, FL MSA 16 ------- 41 898 143 42 028 9 6 783 12 3 793 59 19 396 Raleigh–Durham–Chapel Hill,

NC MSA 203 ------------------ 289 899 1 226 684 650 54 46 284 113 26 904 557 287 040

Rapid City, SD MSA 10 --------- 26 865 184 71 498 4 652 24 5 700 92 41 491

Reading, PA MSA 51 ----------- 104 741 429 305 715 38 29 825 18 3 010 169 74 082

Redding, CA MSA 27 ----------- 53 929 200 84 084 14 7 100 21 4 461 80 41 840

Reno, NV MSA 30 ------------- 82 862 395 325 118 10 16 491 44 17 654 177 104 299

Richland–Kennewick–Pasco,

WA MSA 22 ------------------ 49 874 185 70 988 10 8 427 14 2 944 91 35 181

Richmond–Petersburg, VA

MSA 199 ---------------------- 301 711 1 034 598 932 43 49 711 74 20 540 485 260 408

Roanoke, VA MSA 53 ---------- 83 831 320 305 521 11 11 562 23 4 563 149 72 965

Rochester, MN MSA 15 --------- 25 635 185 88 961 17 14 362 13 2 934 85 37 690

Rochester, NY MSA 173 --------- 296 117 1 092 645 078 120 65 408 43 14 803 456 265 843

Rockford, IL MSA 43 ----------- 111 463 344 161 784 31 22 430 13 3 090 158 70 565

Rocky Mount, NC MSA 30 ------ 36 606 146 64 034 21 8 973 10 1 591 62 25 029

Sacramento–Yolo, CA CMSA 173 - 478 520 1 704 868 869 135 75 147 99 27 331 778 463 003 Sacramento, CA PMSA 161 ---- 431 830 1 571 810 634 123 68 792 91 25 712 714 430 139 Yolo, CA PMSA 12 ----------- 46 690 133 58 235 12 6 355 8 1 619 64 32 864

Saginaw–Bay City–Midland, MI

MSA 82 ---------------------- 124 158 487 214 547 31 16 126 26 4 588 242 121 676

St. Cloud, MN MSA 25 --------- (D) 199 (D) 36 (D) 7 1 520 79 45 095

St. Joseph, MO MSA 16 -------- 17 772 111 42 444 1 (D) 15 2 920 46 17 406

St. Louis, MO–IL MSA 369 ------- 716 767 2 851 1 405 956 228 108 849 184 40 787 1 196 636 826 Salinas, CA MSA 49 ------------ 124 096 514 242 501 50 28 383 38 10 293 257 121 782

Salt Lake City–Ogden, UT

MSA 100 ---------------------- 146 797 1 274 685 925 45 62 545 70 14 892 655 378 447

San Angelo, TX MSA 16 -------- 15 397 120 40 855 12 7 103 14 2 743 51 17 931

San Antonio, TX MSA 168 ------- 250 382 1 481 713 027 127 58 990 182 60 146 621 303 638

San Diego, CA MSA 331 --------- 756 972 3 110 1 746 051 300 163 218 180 61 571 1 453 840 147

San Francisco–Oakland–San

Jose, CA CMSA 843 ------------ 2 501 867 8 182 5 218 422 711 463 603 530 214 575 3 865 2 640 390

Oakland, CA PMSA 266 ------- 800 146 2 331 1 370 115 252 153 637 140 51 691 1 064 725 107

San Francisco, CA PMSA 272 -- 709 576 2 753 1 972 296 187 139 233 219 95 454 1 362 957 116

San Jose, CA PMSA 172 ------ 598 215 1 739 1 205 553 161 93 358 89 41 419 805 667 654

Santa Cruz–Watsonville, CA

PMSA 30 ------------------- 94 442 337 167 207 41 26 151 16 6 324 153 69 577

Santa Rosa, CA PMSA 53 ---- 172 762 535 295 674 33 23 758 31 9 178 254 119 785

Vallejo–Fairfield–Napa, CA

PMSA 50 ------------------- 126 726 487 207 577 37 27 466 35 10 509 227 101 151

San Luis Obispo–Atascadero–

Paso Robles, CA MSA 52 ------ 112 216 362 134 269 40 20 312 16 3 362 173 57 766 Santa Barbara–Santa

Maria–Lompoc, CA MSA 66 ---- 145 165 602 271 831 56 27 754 54 16 666 299 128 253 Santa Fe, NM MSA 19 --------- 35 703 381 225 952 15 11 815 31 16 702 165 81 072 Sarasota–Bradenton, FL

MSA 107 ---------------------- 218 350 811 305 764 48 29 457 72 16 108 376 144 371 Savannah, GA MSA 58 --------- 82 946 371 145 459 47 25 782 47 10 564 171 74 366 Scranton–Wilkes-Barre–

Hazleton, PA MSA 193 --------- 265 048 736 415 298 94 77 722 21 6 339 255 125 993

Seattle–Tacoma–Bremerton,

WA CMSA 468 ----------------- 943 490 4 153 2 767 773 191 231 781 376 143 467 1 904 1 181 125

Bremerton, WA PMSA 29 ----- 54 408 240 117 727 12 13 405 25 5 110 119 54 811

Olympia, WA PMSA 24 ------- 43 543 198 103 268 10 11 106 18 6 366 83 52 119

Seattle–Bellevue–Everett,

WA PMSA 342 --------------- 720 529 3 024 2 155 926 129 168 220 251 104 397 1 394 909 985

Tacoma, WA PMSA 73 ------- 125 010 691 390 852 40 39 050 82 27 594 308 164 210

Sharon, PA MSA 30 ------------ 44 702 123 50 900 16 9 104 11 1 336 50 15 328 Sheboygan, WI MSA 22 -------- 23 852 94 40 210 8 10 243 4 (D) 38 12 656 Sherman–Denison, TX MSA 35 -- 38 606 107 40 616 15 10 864 14 5 149 39 10 309 Shreveport–Bossier City, LA

MSA 76 ---------------------- 108 238 384 167 596 48 35 292 28 9 686 150 62 405 Sioux City, IA–NE MSA 17 ------ 32 614 155 79 484 16 9 130 10 1 829 66 35 754

Sioux Falls, SD MSA 26 -------- 62 258 227 151 452 23 10 814 23 5 332 89 58 103

South Bend, IN MSA 46 -------- 110 886 292 188 712 34 20 724 16 5 088 123 62 415

Spokane, WA MSA 48 ---------- 85 072 463 302 842 27 22 509 47 15 670 198 123 804

Springfield, IL MSA 46 ---------- 88 794 241 122 121 14 10 134 19 2 686 92 54 806 Springfield, MO MSA 35 -------- 47 739 434 366 358 38 19 875 46 7 751 158 119 810

See footnotes at end of table.

US–90nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 81

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Miscellaneous retail stores

(SIC 59 ex. 591)mCon.

Miscellaneous shopping goods stores

(SIC 594)mCon.

Sporting goods stores and

bicycle shops

(SIC 5941)

Book stores

(SIC 5942)

Jewelry stores

(SIC 5944)

Other miscellaneous

shopping goods stores

(SIC 5943, 5, 6, 7, 8, 9)

Nonstore retailers (SIC 596)Fuel dealers

(SIC 598)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Phoenix–Mesa, AZ MSA 232 ----- 160 687 128 78 626 268 123 474 615 318 033 275 499 934 22 10 906

Pine Bluff, AR MSA 4 --------- 2 057 4 2 217 13 10 935 15 3 200 10 3 914 3 1 140

Pittsburgh, PA MSA 221 --------- 123 254 115 63 673 247 127 116 593 271 512 220 474 927 51 49 698

Pittsfield, MA MSA 12 ---------- 6 538 7 5 467 10 4 172 31 12 190 15 37 285 15 22 284

Portland, ME MSA 35 ---------- 26 643 22 12 350 22 20 147 100 39 627 48 (D) 29 65 083

Portland–Salem, OR–WA

CMSA 187 -------------------- 125 876 136 81 103 152 101 131 493 275 342 254 383 945 35 36 818

Portland–Vancouver,

OR–WA PMSA 160 ----------- 116 851 118 72 407 128 90 047 428 237 328 229 369 967 30 33 906

Salem, OR PMSA 27 --------- 9 025 18 8 696 24 11 084 65 38 014 25 13 978 5 2 912

Providence–Fall River–

Warwick, RI–MA MSA 78 ------ 48 927 53 32 459 146 61 054 242 131 318 142 208 534 153 197 627 Provo–Orem, UT MSA 24 ------- 19 496 16 6 798 17 9 057 60 27 578 19 29 357 2 (D)

Pueblo, CO MSA 10 ------------ 4 082 6 1 937 11 4 817 18 6 935 25 (D) 3 (D)

Punta Gorda, FL MSA 11 ------- 1 991 4 1 883 9 2 474 35 13 048 8 1 589 – – Raleigh–Durham–Chapel Hill,

NC MSA 94 ------------------ 69 777 64 39 404 133 53 977 266 123 882 110 196 561 46 42 031

Rapid City, SD MSA 15 --------- 3 915 8 2 665 17 10 118 52 24 793 19 11 558 3 1 955

Reading, PA MSA 30 ----------- 14 681 12 6 337 34 14 315 93 38 749 50 48 359 32 114 272

Redding, CA MSA 25 ----------- 13 975 7 3 655 8 5 595 40 18 615 19 10 708 9 6 964

Reno, NV MSA 41 ------------- 30 337 12 7 507 37 17 551 87 48 904 44 (D) 13 17 782

Richland–Kennewick–Pasco,

WA MSA 22 ------------------ 10 197 12 4 478 14 6 325 43 14 181 16 10 274 – –

Richmond–Petersburg, VA

MSA 79 ---------------------- 54 327 60 27 995 102 51 374 244 126 712 90 108 323 44 70 849

Roanoke, VA MSA 22 ---------- 15 373 16 7 748 31 17 982 80 31 862 37 167 687 6 (D)

Rochester, MN MSA 12 --------- 7 385 6 3 510 17 6 734 50 20 061 13 7 254 4 (D)

Rochester, NY MSA 94 --------- 66 651 54 42 291 93 43 242 215 113 659 105 140 924 32 47 008

Rockford, IL MSA 33 ----------- 12 687 15 9 065 27 11 886 83 36 927 40 25 956 5 (D)

Rocky Mount, NC MSA 7 ------ 2 486 8 6 792 15 9 208 32 6 543 7 8 290 15 13 364

Sacramento–Yolo, CA CMSA 188 - 136 648 81 49 796 142 84 529 367 192 030 141 107 004 45 (D)

Sacramento, CA PMSA 172 ---- 125 160 71 43 335 130 80 454 341 181 190 129 101 366 44 34 733 Yolo, CA PMSA 16 ----------- 11 488 10 6 461 12 4 075 26 10 840 12 5 638 1 (D)

Saginaw–Bay City–Midland, MI

MSA 43 ---------------------- 22 987 18 6 885 40 19 806 141 71 998 28 14 054 9 10 325

St. Cloud, MN MSA 22 --------- 15 772 10 8 237 18 7 438 29 13 648 13 (D) 9 (D)

St. Joseph, MO MSA 10 -------- 3 075 3 2 431 6 3 122 27 8 778 11 12 383 4 (D)

St. Louis, MO–IL MSA 218 ------- 140 802 117 74 565 262 153 479 599 267 980 323 305 019 60 48 665 Salinas, CA MSA 40 ------------ 20 817 20 14 906 61 29 165 136 56 894 30 18 291 4 4 983

Salt Lake City–Ogden, UT

MSA 145 ---------------------- 132 733 59 35 532 102 51 194 349 158 988 154 123 002 3 (D)

San Angelo, TX MSA 9 -------- 3 284 7 3 266 13 5 793 22 5 588 7 4 421 2 (D)

San Antonio, TX MSA 98 ------- 46 600 57 40 346 160 67 917 306 148 775 110 143 334 16 12 658

San Diego, CA MSA 277 --------- 216 175 175 115 419 288 140 672 713 367 881 283 368 934 17 23 642

San Francisco–Oakland–San

Jose, CA CMSA 703 ------------ 567 917 460 406 590 798 426 422 1 904 1 239 461 800 985 299 48 46 805

Oakland, CA PMSA 215 ------- 204 487 137 108 453 208 112 967 504 299 200 197 191 569 6 4 965

San Francisco, CA PMSA 183 -- 146 460 167 138 875 304 173 529 708 498 252 235 447 614 9 4 911

San Jose, CA PMSA 167 ------ 149 646 99 125 015 164 91 548 375 301 445 232 221 352 4 2 882

Santa Cruz–Watsonville, CA

PMSA 36 ------------------- 20 876 14 9 460 30 12 542 73 26 699 41 25 204 7 9 930

Santa Rosa, CA PMSA 56 ---- 27 719 25 16 521 48 17 503 125 58 042 58 77 898 17 18 802

Vallejo–Fairfield–Napa, CA

PMSA 46 ------------------- 18 729 18 8 266 44 18 333 119 55 823 37 21 662 5 5 315

San Luis Obispo–Atascadero–

Paso Robles, CA MSA 36 ------ 16 439 14 4 392 30 7 730 93 29 205 35 26 590 4 (D)

Santa Barbara–Santa

Maria–Lompoc, CA MSA 57 ---- 27 180 29 17 168 56 26 422 157 57 483 48 45 590 5 4 500 Santa Fe, NM MSA 19 --------- 12 596 25 10 936 49 30 440 72 27 100 25 14 314 9 6 161 Sarasota–Bradenton, FL

MSA 63 ---------------------- 23 012 32 13 058 87 31 220 194 77 081 61 47 990 5 5 080 Savannah, GA MSA 26 --------- 9 926 18 6 597 37 23 980 90 33 863 18 8 525 7 4 125 Scranton–Wilkes-Barre–

Hazleton, PA MSA 50 --------- 24 857 24 11 421 58 31 954 123 57 761 65 48 737 75 84 117

Seattle–Tacoma–Bremerton,

WA CMSA 397 ----------------- 315 405 245 166 899 268 164 652 994 534 169 453 708 039 59 91 396

Bremerton, WA PMSA 24 ----- 14 354 16 5 547 20 8 830 59 26 080 20 26 197 4 4 057

Olympia, WA PMSA 17 ------- 8 283 15 11 230 12 8 078 39 24 528 19 10 966 3 5 426

Seattle–Bellevue–Everett,

WA PMSA 293 --------------- 251 178 176 131 679 186 121 152 739 405 976 354 596 585 38 65 562

Tacoma, WA PMSA 63 ------- 41 590 38 18 443 50 26 592 157 77 585 60 74 291 14 16 351

Sharon, PA MSA 7 ------------ (D) 1 (D) 12 5 044 30 8 141 6 (D) 6 12 308 Sheboygan, WI MSA 11 -------- 3 445 5 1 969 10 3 696 12 3 546 7 (D) 2 (D)

Sherman–Denison, TX MSA 6 -- 856 7 2 332 12 2 538 14 4 583 11 7 251 3 (D)

Shreveport–Bossier City, LA

MSA 23 ---------------------- 7 950 16 7 914 42 14 074 69 32 467 31 28 198 5 2 351 Sioux City, IA–NE MSA 12 ------ 8 008 10 4 705 16 13 312 28 9 729 21 21 160 4 1 279

Sioux Falls, SD MSA 20 -------- 28 157 6 (D) 16 (D) 47 16 391 28 57 407 4 2 472

South Bend, IN MSA 26 -------- 11 059 14 6 703 24 12 271 59 32 382 35 70 619 2 (D)

Spokane, WA MSA 61 ---------- 56 406 24 10 028 26 14 964 87 42 406 40 88 042 7 11 634

Springfield, IL MSA 23 ---------- 13 060 12 6 487 14 7 913 43 27 346 38 27 175 5 3 716 Springfield, MO MSA 26 -------- 54 738 22 8 155 31 18 698 79 38 219 58 168 342 20 13 213

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–91
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 82

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Miscellaneous retail stores

(SIC 59 ex. 591)mCon.

Florists

(SIC 5992)

Tobacco stores and stands

(SIC 5993)

News dealers and newsstands

(SIC 5994)

Optical goods stores

(SIC 5995)

Miscellaneous retail stores,

n.e.c.

(SIC 5999)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Phoenix–Mesa, AZ MSA 182 ----- 38 745 19 27 226 7 (D) 158 55 341 477 (D)

Pine Bluff, AR MSA 5 --------- 2 202 – – 1 (D) 2 (D) 13 (D)

Pittsburgh, PA MSA 344 --------- 77 674 27 10 525 63 16 428 143 56 313 366 134 593

Pittsfield, MA MSA 11 ---------- 2 430 – – 3 370 8 1 418 20 (D)

Portland, ME MSA 24 ---------- (D) 1 (D) 1 (D) 11 (D) 53 (D)

Portland–Salem, OR–WA

CMSA 187 -------------------- 39 597 13 (D) 7 2 059 102 32 065 337 (D)

Portland–Vancouver,

OR–WA PMSA 157 ----------- 34 225 10 5 520 7 2 059 93 28 843 290 120 001

Salem, OR PMSA 30 --------- 5 372 3 (D) – – 9 3 222 47 (D)

Providence–Fall River–

Warwick, RI–MA MSA 138 ------ 27 707 8 2 830 7 (D) 49 12 481 151 (D)

Provo–Orem, UT MSA 29 ------- 4 201 – – 1 (D) 19 6 396 32 (D)

Pueblo, CO MSA 8 ------------ (D) 1 (D) – – 9 1 874 18 (D)

Punta Gorda, FL MSA 16 ------- 2 741 1 (D) – – 12 2 327 26 (D)

Raleigh–Durham–Chapel Hill,

NC MSA 118 ------------------ 22 151 4 757 16 3 321 56 13 674 152 45 927

Rapid City, SD MSA 12 --------- 3 050 – – – – 10 2 214 20 4 878

Reading, PA MSA 38 ----------- 8 607 2 (D) 13 3 534 20 6 157 49 (D)

Redding, CA MSA 11 ----------- 2 344 1 (D) – – 6 1 723 39 (D)

Reno, NV MSA 30 ------------- 7 337 2 (D) – – 12 5 615 63 (D)

Richland–Kennewick–Pasco,

WA MSA 18 ------------------ 5 329 1 (D) – – 12 2 559 23 (D)

Richmond–Petersburg, VA

MSA 87 ---------------------- 24 409 3 (D) 1 (D) 64 20 481 143 (D)

Roanoke, VA MSA 29 ---------- 6 672 3 831 1 (D) 24 9 812 37 (D)

Rochester, MN MSA 16 --------- 5 998 – – 1 (D) 10 4 494 26 (D)

Rochester, NY MSA 97 --------- 22 114 6 824 17 7 596 82 29 933 134 50 625

Rockford, IL MSA 32 ----------- 12 237 1 (D) 2 (D) 22 7 562 40 (D)

Rocky Mount, NC MSA 12 ------ 2 442 – – 1 (D) 4 469 14 (D)

Sacramento–Yolo, CA CMSA 155 - 30 078 6 (D) 11 (D) 51 19 121 283 (D)

Sacramento, CA PMSA 144 ---- 27 420 5 4 332 10 1 654 47 18 208 264 98 278 Yolo, CA PMSA 11 ----------- 2 658 1 (D) 1 (D) 4 913 19 (D)

Saginaw–Bay City–Midland, MI

MSA 46 ---------------------- 9 549 3 (D) 2 (D) 25 9 197 75 28 324

St. Cloud, MN MSA 22 --------- (D) – – 1 (D) 16 (D) 16 (D)

St. Joseph, MO MSA 12 -------- 1 970 – – – – 9 2 148 13 (D)

St. Louis, MO–IL MSA 239 ------- 53 621 26 8 321 13 4 043 143 51 909 439 147 916 Salinas, CA MSA 32 ------------ 8 263 2 (D) – – 15 5 597 86 (D)

Salt Lake City–Ogden, UT

MSA 73 ---------------------- 19 781 1 (D) 2 (D) 73 24 101 198 (D)

San Angelo, TX MSA 10 -------- 1 897 1 (D) – – 7 2 279 16 (D)

San Antonio, TX MSA 117 ------- 25 136 4 1 407 8 1 970 96 31 209 200 74 539

San Diego, CA MSA 239 --------- 47 753 7 1 988 14 6 253 103 49 418 514 183 127

San Francisco–Oakland–San

Jose, CA CMSA 598 ------------ 141 346 38 13 982 45 (D) 318 120 106 1 229 (D)

Oakland, CA PMSA 179 ------- 38 538 9 4 233 10 5 581 109 40 778 365 154 016

San Francisco, CA PMSA 197 -- 52 230 16 5 308 24 6 565 94 37 488 410 226 377

San Jose, CA PMSA 125 ------ 28 824 9 3 276 5 2 344 66 27 324 243 117 120

Santa Cruz–Watsonville, CA

PMSA 25 ------------------- 5 207 1 (D) – – 11 2 912 42 (D)

Santa Rosa, CA PMSA 35 ---- 7 804 2 (D) 4 2 042 21 6 747 80 (D)

Vallejo–Fairfield–Napa, CA

PMSA 37 ------------------- 8 743 1 (D) 2 (D) 17 4 857 89 27 207

San Luis Obispo–Atascadero–

Paso Robles, CA MSA 27 ------ 4 181 – – 3 1 141 17 3 610 47 (D)

Santa Barbara–Santa

Maria–Lompoc, CA MSA 32 ---- 10 594 1 (D) 4 (D) 25 5 893 78 (D)

Santa Fe, NM MSA 13 --------- 3 343 1 (D) 1 (D) 11 3 850 110 (D)

Sarasota–Bradenton, FL

MSA 61 ---------------------- 11 873 3 (D) 2 (D) 43 11 561 140 38 055 Savannah, GA MSA 27 --------- 5 171 – – – – 17 7 146 37 9 780 Scranton–Wilkes-Barre–

Hazleton, PA MSA 75 --------- 14 000 12 5 412 10 2 722 32 10 172 97 40 084

Seattle–Tacoma–Bremerton,

WA CMSA 349 ----------------- 87 253 21 (D) 17 (D) 198 67 209 585 (D)

Bremerton, WA PMSA 21 ----- 3 814 1 (D) – – 10 3 578 28 (D)

Olympia, WA PMSA 19 ------- 4 261 – – 1 (D) 14 3 809 31 (D)

Seattle–Bellevue–Everett,

WA PMSA 247 --------------- 66 612 11 4 245 15 5 057 139 47 762 446 187 501

Tacoma, WA PMSA 62 ------- 12 566 9 14 013 1 (D) 35 12 060 80 (D)

Sharon, PA MSA 9 ------------ (D) – – 1 (D) 8 1 735 16 (D)

Sheboygan, WI MSA 11 -------- (D) – – 1 (D) 9 (D) 14 2 354 Sherman–Denison, TX MSA 7 -- 939 – – – – 5 1 857 13 (D)

Shreveport–Bossier City, LA

MSA 42 ---------------------- 6 796 3 263 1 (D) 28 9 928 48 (D)

Sioux City, IA–NE MSA 10 ------ 2 131 – – – – 9 3 508 19 4 693

Sioux Falls, SD MSA 20 -------- 3 720 – – 1 (D) 12 3 067 27 (D)

South Bend, IN MSA 28 -------- 7 497 1 (D) – – 13 6 642 40 14 950

Spokane, WA MSA 33 ---------- 6 015 3 (D) 1 (D) 30 7 471 77 (D)

Springfield, IL MSA 24 ---------- 5 519 3 (D) – – 11 4 491 35 (D)

Springfield, MO MSA 34 -------- 6 132 2 (D) 1 (D) 14 7 239 63 22 625

See footnotes at end of table.

US–92nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 83

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Building materials and garden supplies stores

(SIC 52)

Retail trade

Total

Building materials and

supply stores

(SIC 521, 3)

Hardware stores

(SIC 525)

Retail nurseries, lawn

and garden supply stores

(SIC 526)

Manufactured (mobile)

home dealers

(SIC 527)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Springfield, MA MSA 3 -------- 712 4 195 850 168 233 899 93 184 598 51 28 653 24 20 648 – –

State College, PA MSA 794 ------ 876 471 34 56 594 16 43 170 11 7 008 6 (D) 1 (D)

Steubenville–Weirton, OH–WV

MSA 859 ---------------------- 767 968 27 37 681 12 26 794 8 4 739 6 (D) 1 (D)

Stockton–Lodi, CA MSA 2 ----- 291 2 988 142 106 160 907 58 107 520 29 38 278 15 6 689 4 8 420

Sumter, SC MSA 534 ------------ 580 901 31 66 569 9 36 020 9 7 046 4 1 069 9 22 434

Syracuse, NY MSA 4 ---------- 649 5 315 427 225 300 655 112 221 085 62 40 791 36 19 780 15 18 999 Tallahassee, FL MSA 1 -------- 466 1 885 895 69 110 891 38 90 984 12 2 354 11 7 154 8 10 399 Tampa–St. Petersburg–

Clearwater, FL MSA 12 -------- 736 18 487 336 544 746 314 261 587 296 117 50 251 115 52 257 51 56 510 Terre Haute, IN MSA 903 -------- 1 948 864 48 69 700 30 46 699 9 6 602 6 6 050 3 10 349 Texarkana, TX–Texarkana, AR

MSA 732 ---------------------- 948 990 32 44 510 18 37 912 5 (D) 5 2 054 4 (D)

Toledo, OH MSA 3 ------------ 706 4 899 865 151 211 919 84 159 677 35 18 368 26 27 027 6 6 847

Topeka, KS MSA 1 ------------ 060 1 361 191 41 75 701 20 57 760 11 7 476 8 (D) 2 (D)

Tucson, AZ MSA 3 ------------ 832 5 288 010 144 268 312 62 201 099 40 27 321 23 9 613 19 30 279

Tulsa, OK MSA 4 ------------- 410 5 787 569 179 244 418 103 199 455 33 11 582 34 19 924 9 13 457

Tuscaloosa, AL MSA 912 -------- 1 109 874 46 78 218 23 52 512 10 6 903 7 7 140 6 11 663

Tyler, TX MSA 966 -------------- 1 312 238 57 88 223 27 65 030 15 5 560 8 3 375 7 14 258

Utica–Rome, NY MSA 1 ------- 992 1 993 527 103 127 810 45 91 339 28 12 374 20 9 101 10 14 996

Victoria, TX MSA 515 ------------ 629 013 20 30 343 12 23 048 2 (D) 4 3 252 2 (D)

Visalia–Tulare–Porterville, CA

MSA 1 ---------------------- 591 1 821 980 68 118 013 34 83 044 17 18 841 14 (D) 3 (D)

Waco, TX MSA 1 ------------- 147 1 390 795 50 73 141 27 59 819 10 3 152 9 6 028 4 4 142

Washington–Baltimore,

DC–MD–VA–WV CMSA 38 ----- 945 54 251 374 1 247 2 312 879 627 1 875 579 323 (D) 266 196 828 31 (D)

Baltimore, MD PMSA 13 ------ 976 17 481 647 494 828 041 226 654 426 148 78 577 106 79 596 14 15 442 Hagerstown, MD PMSA 810 ---- 934 694 38 55 582 18 47 948 8 (D) 9 3 285 3 (D)

Washington,

DC–MD–VA–WV PMSA 24 --- 159 35 835 033 715 1 429 256 383 1 173 205 167 122 559 151 113 947 14 19 545

Waterloo–Cedar Falls, IA

MSA 837 ---------------------- 1 074 916 36 85 082 19 74 521 12 6 614 4 (D) 1 (D)

Wausau, WI MSA 690 ----------- 905 954 44 78 438 26 64 813 8 5 809 5 2 121 5 5 695

West Palm Beach–Boca

Raton, FL MSA 6 ------------ 582 9 084 460 243 353 344 138 303 082 52 28 151 46 17 370 7 4 741

Wheeling, WV–OH MSA 1 ----- 043 1 101 861 56 56 407 24 36 994 16 8 682 9 4 210 7 6 521

Wichita, KS MSA 3 ------------ 004 4 079 406 135 239 292 59 185 890 36 17 689 29 17 345 11 18 368

Wichita Falls, TX MSA 850 ------- 945 256 36 53 112 26 44 633 2 (D) 7 (D) 1 (D)

Williamsport, PA MSA 821 ------- 909 957 34 47 249 15 35 619 10 5 605 4 1 230 5 4 795 Wilmington, NC MSA 1 -------- 521 1 660 168 91 113 963 34 82 495 26 9 208 18 7 967 13 14 293 Yakima, WA MSA 1 ----------- 139 1 345 185 50 108 848 23 70 695 15 13 014 6 2 464 6 22 675 York, PA MSA 1 -------------- 959 2 981 943 100 147 217 48 115 693 17 7 122 27 15 339 8 9 063

Youngstown-Warren, OH

MSA 3 ---------------------- 647 4 200 723 160 190 543 80 149 552 46 23 261 29 14 726 5 3 004 Yuba City, CA MSA 609 --------- 696 342 29 49 462 17 39 223 4 2 778 3 (D) 5 (D)

Yuma, AZ MSA 605 ------------- 804 699 32 45 810 13 18 968 6 8 364 3 2 309 10 16 169

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–93
TIPS [UPF] D_SIPES# 8D [UFCB,D_SIPES] UFCEN 3/ 7/ 95 10:25 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 3/ 1/ 95 07:48:00 TAPE: NOreel FRAME: 6

TSF:R_US_TIPS92.DAT;1 3/ 1/ 95 07:48:53 UTF:R_US_TIPS93.DAT;1 3/ 1/ 95 07:48:53 META:R_US_TIPS96.DAT;1 3/ 1/ 95 07:54:15

Table 5. Establishments and Sales for Metropolitan Areas: 1992mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

General merchandise stores

(SIC 53)

Total

Department stores

(incl. leased depts.)1 2

(SIC 531)

Department stores

(excl. leased depts.)1

(SIC 531)

Variety stores

(SIC 533)

Miscellaneous general

merchandise stores

(SIC 539)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Springfield, MA MSA 86 -------- 506 933 34 371 402 34 358 827 29 16 092 23 132 014

State College, PA MSA 21 ------ 121 905 8 113 328 8 111 853 10 (D) 3 (D)

Steubenville–Weirton, OH–WV

MSA 20 ---------------------- 92 934 7 79 085 7 77 108 10 (D) 3 (D)

Stockton–Lodi, CA MSA 37 ----- 407 963 18 302 467 18 296 143 7 (D) 12 (D)

Sumter, SC MSA 17 ------------ 71 954 5 59 767 5 58 758 7 (D) 5 (D)

Syracuse, NY MSA 85 ---------- 528 846 42 413 422 42 400 338 20 15 150 23 113 358 Tallahassee, FL MSA 29 -------- 306 372 13 r

239 024 13 (D) 10 (D) 6 (D)

Tampa–St. Petersburg–

Clearwater, FL MSA 240 -------- 1 926 983 97 1 561 943 97 1 513 091 83 57 210 60 356 682 Terre Haute, IN MSA 24 -------- 239 339 12 179 072 12 175 190 8 4 298 4 59 851 Texarkana, TX–Texarkana, AR

MSA 21 ---------------------- 188 547 8 (D) 8 (D) 10 6 399 3 (D)

Toledo, OH MSA 89 ------------ 788 481 36 563 105 36 545 565 34 33 363 19 209 553

Topeka, KS MSA 21 ------------ 265 660 12 r234 737 12 (D) 6 (D) 3 (D)

Tucson, AZ MSA 50 ------------ 805 715 30 r578 892 30 (D) 10 (D) 10 (D)

Tulsa, OK MSA 101 ------------- 906 773 40 733 712 40 720 973 31 17 027 30 168 773

Tuscaloosa, AL MSA 20 -------- 153 031 7 137 982 7 135 511 6 3 237 7 14 283

Tyler, TX MSA 27 -------------- 273 017 11 r

189 558 11 (D) 10 (D) 6 (D)

Utica–Rome, NY MSA 38 ------- 201 885 12 173 963 12 169 695 17 12 500 9 19 690

Victoria, TX MSA 12 ------------ (D) 5 (D) 5 (D) 6 (D) 1 (D)

Visalia–Tulare–Porterville, CA

MSA 34 ---------------------- 274 715 16 202 400 16 197 997 9 (D) 9 (D)

Waco, TX MSA 31 ------------- 245 377 12 r187 793 12 (D) 10 (D) 9 (D)

Washington–Baltimore,

DC–MD–VA–WV CMSA 718 ----- 6 096 493 233 (D) 233 (D) 240 (D) 245 (D)

Baltimore, MD PMSA 281 ------ 2 038 618 89 1 563 390 89 1 512 209 98 103 454 94 422 955 Hagerstown, MD PMSA 24 ---- 170 819 7 (D) 7 (D) 12 (D) 5 (D)

Washington,

DC–MD–VA–WV PMSA 413 --- 3 887 056 137 2 809 899 137 2 717 207 130 146 975 146 1 022 874

Waterloo–Cedar Falls, IA

MSA 14 ---------------------- 167 517 11 168 096 11 166 172 3 1 345 – –

Wausau, WI MSA 16 ----------- 147 176 9 r118 600 9 (D) 1 (D) 6 (D)

West Palm Beach–Boca

Raton, FL MSA 96 ------------ 1 142 040 43 812 297 43 790 351 21 22 399 32 329 290

Wheeling, WV–OH MSA 30 ----- 153 975 10 129 943 10 127 297 15 (D) 5 (D)

Wichita, KS MSA 54 ------------ 653 216 25 541 404 25 533 808 17 (D) 12 (D)

Wichita Falls, TX MSA 25 ------- 192 765 10 r

138 093 10 (D) 9 (D) 6 (D)

Williamsport, PA MSA 21 ------- 92 860 6 82 579 6 81 429 11 9 714 4 1 717 Wilmington, NC MSA 46 -------- 254 326 12 178 059 12 175 003 21 13 892 13 65 431 Yakima, WA MSA 27 ----------- 226 741 10 136 143 10 132 966 5 (D) 12 (D)

York, PA MSA 48 -------------- 371 165 24 294 721 24 287 794 16 10 894 8 72 477

Youngstown-Warren, OH

MSA 95 ---------------------- 584 577 34 452 426 34 437 849 41 (D) 20 (D)

Yuba City, CA MSA 18 --------- 113 464 7 96 075 7 94 215 3 2 030 8 17 219 Yuma, AZ MSA 14 ------------- 115 121 5 97 199 5 95 617 2 (D) 7 (D)

See footnotes at end of table

US–94nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 85

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Food stores

(SIC 54)

Total Grocery stores

(SIC 541)

Meat and fish (seafood)

markets

(SIC 542)

Retail bakeries

(SIC 546)

Other food stores

(SIC 543, 4, 5, 9)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Springfield, MA MSA 398 -------- 895 985 269 839 003 22 19 630 60 19 609 47 17 743

State College, PA MSA 80 ------ 159 954 59 154 636 3 1 914 8 1 441 10 1 963

Steubenville–Weirton, OH–WV

MSA 131 ---------------------- 207 825 105 200 277 3 (D) 14 4 321 9 (D)

Stockton–Lodi, CA MSA 329 ----- 712 928 240 676 945 18 17 870 45 10 134 26 7 979

Sumter, SC MSA 90 ------------ 120 026 77 118 160 1 (D) 3 (D) 9 1 149

Syracuse, NY MSA 543 ---------- 1 207 283 372 1 157 539 26 10 702 59 13 161 86 25 881 Tallahassee, FL MSA 184 -------- 414 747 155 402 780 13 6 417 4 1 644 12 3 906 Tampa–St. Petersburg–

Clearwater, FL MSA 1 -------- 433 3 306 506 1 099 3 166 836 75 42 656 113 31 947 146 65 067 Terre Haute, IN MSA 76 -------- 196 986 53 190 490 3 1 253 11 1 932 9 3 311 Texarkana, TX–Texarkana, AR

MSA 93 ---------------------- 182 331 82 180 794 1 (D) 6 (D) 4 667

Toledo, OH MSA 420 ------------ 917 220 331 880 729 21 18 604 29 6 116 39 11 771

Topeka, KS MSA 81 ------------ 206 648 54 197 252 3 (D) 9 (D) 15 5 252

Tucson, AZ MSA 392 ------------ 1 008 858 300 977 834 14 10 294 45 11 870 33 8 860

Tulsa, OK MSA 480 ------------- 1 006 315 351 979 370 11 4 155 75 11 222 43 11 568

Tuscaloosa, AL MSA 109 -------- 212 753 88 205 978 1 (D) 13 5 368 7 (D)

Tyler, TX MSA 86 -------------- 222 860 66 217 630 2 (D) 9 (D) 9 2 690

Utica–Rome, NY MSA 259 ------- 437 418 167 407 931 11 6 912 53 14 050 28 8 525

Victoria, TX MSA 63 ------------ 132 870 49 128 438 3 1 841 8 1 961 3 630

Visalia–Tulare–Porterville, CA

MSA 260 ---------------------- 477 086 207 466 840 4 1 161 32 4 609 17 4 476

Waco, TX MSA 162 ------------- 310 554 139 297 915 9 (D) 7 (D) 7 3 793

Washington–Baltimore,

DC–MD–VA–WV CMSA 4 ----- 307 10 712 903 3 143 10 208 534 269 230 649 429 133 549 466 140 171 Baltimore, MD PMSA 1 ------ 654 3 638 500 1 155 3 421 878 144 102 555 152 51 129 203 62 938 Hagerstown, MD PMSA 93 ---- 184 020 70 175 219 7 4 866 4 1 841 12 2 094 Washington,

DC–MD–VA–WV PMSA 2 --- 560 6 890 383 1 918 6 611 437 118 123 228 273 80 579 251 75 139

Waterloo–Cedar Falls, IA

MSA 86 ---------------------- 189 493 63 181 696 2 (D) 10 3 419 11 (D)

Wausau, WI MSA 51 ----------- 161 499 29 154 388 4 1 949 10 2 899 8 2 263

West Palm Beach–Boca

Raton, FL MSA 646 ------------ 1 497 268 438 1 403 350 39 34 102 69 19 520 100 40 296

Wheeling, WV–OH MSA 113 ----- 254 037 90 245 838 5 1 397 9 1 000 9 5 802

Wichita, KS MSA 249 ------------ 768 029 181 751 836 10 3 544 34 6 561 24 6 088

Wichita Falls, TX MSA 99 ------- 156 896 79 153 267 3 (D) 12 1 723 5 (D)

Williamsport, PA MSA 86 ------- 189 942 57 177 618 13 8 909 7 1 482 9 1 933 Wilmington, NC MSA 166 -------- 315 546 132 303 996 11 3 375 11 3 983 12 4 192 Yakima, WA MSA 144 ----------- 319 865 115 312 760 6 2 251 10 2 010 13 2 844 York, PA MSA 253 -------------- 490 803 178 471 493 24 11 102 22 3 530 29 4 678

Youngstown-Warren, OH

MSA 445 ---------------------- 811 765 351 783 856 21 7 893 35 8 107 38 11 909 Yuba City, CA MSA 87 --------- 183 972 71 179 149 4 1 255 6 1 516 6 2 052 Yuma, AZ MSA 67 ------------- 195 693 54 193 629 – – 5 (D) 8 (D)

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–95
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 86

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Automotive dealers

(SIC 55 ex. 554)

Total New and used car dealers

(SIC 551)

Used car dealers

(SIC 552)

Auto and home supply stores

(SIC 553)

Miscellaneous automotive

dealers

(SIC 555, 6, 7, 9)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Springfield, MA MSA 199 -------- 728 260 64 615 567 50 37 418 68 45 305 17 29 970

State College, PA MSA 50 ------ 167 082 19 146 953 7 4 096 17 8 340 7 7 693

Steubenville–Weirton, OH–WV

MSA 64 ---------------------- 144 969 21 110 421 13 7 555 23 21 416 7 5 577

Stockton–Lodi, CA MSA 168 ----- 597 956 38 466 454 24 28 240 87 71 045 19 32 217

Sumter, SC MSA 54 ------------ 135 272 12 101 739 12 7 267 24 23 445 6 2 821

Syracuse, NY MSA 293 ---------- 1 141 088 91 964 137 49 42 097 105 80 505 48 54 349 Tallahassee, FL MSA 102 -------- 312 614 23 254 105 21 18 569 47 29 265 11 10 675 Tampa–St. Petersburg–

Clearwater, FL MSA 854 -------- 4 329 379 133 3 539 304 213 217 898 351 234 609 157 337 568 Terre Haute, IN MSA 75 -------- 262 462 21 227 862 20 15 079 26 13 599 8 5 922 Texarkana, TX–Texarkana, AR

MSA 64 ---------------------- 191 952 12 142 593 20 19 524 23 17 618 9 12 217

Toledo, OH MSA 199 ------------ 1 025 213 59 913 687 34 18 921 79 64 556 27 28 049

Topeka, KS MSA 72 ------------ 278 776 12 237 841 21 11 153 30 19 856 9 9 926

Tucson, AZ MSA 249 ------------ 1 062 665 33 762 911 46 111 852 142 101 656 28 86 246

Tulsa, OK MSA 312 ------------- 1 587 783 71 1 370 617 43 56 897 157 83 750 41 76 519

Tuscaloosa, AL MSA 73 -------- 214 244 12 170 266 21 (D) 37 26 308 3 (D)

Tyler, TX MSA 85 -------------- 257 949 11 197 913 16 15 885 42 31 208 16 12 943

Utica–Rome, NY MSA 126 ------- 395 105 44 347 275 32 18 462 39 22 491 11 6 877

Victoria, TX MSA 53 ------------ 142 312 13 108 841 15 11 434 14 15 569 11 6 468

Visalia–Tulare–Porterville, CA

MSA 147 ---------------------- 318 127 29 223 280 36 31 541 71 47 534 11 15 772

Waco, TX MSA 94 ------------- 288 103 18 237 491 24 11 121 41 30 387 11 9 104

Washington–Baltimore,

DC–MD–VA–WV CMSA 1 ----- 721 10 793 752 482 9 601 403 259 227 817 754 636 638 226 327 894 Baltimore, MD PMSA 666 ------ 3 404 540 169 2 944 426 96 75 729 278 217 205 123 167 180 Hagerstown, MD PMSA 55 ---- 180 706 14 153 064 11 6 359 22 12 894 8 8 389 Washington,

DC–MD–VA–WV PMSA 1 --- 000 7 208 506 299 6 503 913 152 145 729 454 406 539 95 152 325

Waterloo–Cedar Falls, IA

MSA 61 ---------------------- 264 793 16 222 499 14 7 034 23 18 235 8 17 025

Wausau, WI MSA 41 ----------- 189 150 18 168 312 6 2 752 7 4 948 10 13 138

West Palm Beach–Boca

Raton, FL MSA 306 ------------ 2 362 301 57 2 115 591 54 67 634 132 98 445 63 80 631

Wheeling, WV–OH MSA 73 ----- 216 501 24 171 470 15 12 918 26 24 180 8 7 933

Wichita, KS MSA 188 ------------ 945 224 38 816 802 42 36 394 80 58 498 28 33 530

Wichita Falls, TX MSA 68 ------- 215 120 15 181 740 14 (D) 33 18 236 6 (D)

Williamsport, PA MSA 66 ------- 212 952 25 181 955 15 12 024 18 10 878 8 8 095 Wilmington, NC MSA 93 -------- 325 484 17 257 164 25 21 138 29 19 303 22 27 879 Yakima, WA MSA 127 ----------- 257 816 19 176 887 42 29 742 50 33 978 16 17 209 York, PA MSA 153 -------------- 549 409 47 466 988 48 36 047 35 25 625 23 20 749

Youngstown-Warren, OH

MSA 284 ---------------------- 931 955 76 813 376 56 33 124 122 63 541 30 21 914 Yuba City, CA MSA 48 --------- 111 022 8 77 952 10 5 441 22 16 242 8 11 387 Yuma, AZ MSA 63 ------------- 172 751 10 105 874 12 5 697 25 23 396 16 37 784

See footnotes at end of table.

US–96nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 87

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Gasoline service stations

(SIC 554)

Apparel and accessory stores

(SIC 56)

Total

Men’s and boys’ clothing and

accessory stores

(SIC 561)

Women’s clothing and specialty stores

(SIC 562, 3)

Total Women’s clothing stores

(SIC 562)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Springfield, MA MSA 265 -------- 318 984 338 229 755 35 25 763 145 82 814 130 77 574

State College, PA MSA 64 ------ 78 857 94 46 171 11 6 974 39 14 469 33 12 512

Steubenville–Weirton, OH–WV

MSA 73 ---------------------- 64 050 50 24 698 6 1 669 18 6 989 16 (D)

Stockton–Lodi, CA MSA 120 ----- 226 222 181 99 413 22 10 520 62 26 602 49 22 469

Sumter, SC MSA 35 ------------ 41 694 61 31 512 7 3 115 30 10 896 26 10 270

Syracuse, NY MSA 271 ---------- 359 112 454 318 954 50 29 067 176 106 738 142 93 464 Tallahassee, FL MSA 97 -------- 119 660 148 98 882 18 8 176 62 39 618 55 36 351 Tampa–St. Petersburg–

Clearwater, FL MSA 805 -------- 1 036 318 1 237 765 877 114 53 365 512 258 590 425 227 419 Terre Haute, IN MSA 71 -------- 119 928 73 (D) 7 4 130 30 14 211 26 13 296 Texarkana, TX–Texarkana, AR

MSA 72 ---------------------- 110 148 79 54 122 6 2 532 37 13 924 33 13 010

Toledo, OH MSA 263 ------------ 396 624 320 174 045 36 16 304 127 67 159 105 59 657

Topeka, KS MSA 88 ------------ 116 076 97 49 189 5 3 452 42 17 830 35 15 665

Tucson, AZ MSA 175 ------------ 326 708 360 238 600 32 14 497 143 79 676 121 71 064

Tulsa, OK MSA 320 ------------- 359 203 370 265 598 28 14 117 146 87 047 123 79 181

Tuscaloosa, AL MSA 84 -------- 103 312 86 70 463 8 3 380 33 15 393 30 (D)

Tyler, TX MSA 101 -------------- 112 966 101 66 060 9 5 714 45 22 300 39 20 267

Utica–Rome, NY MSA 119 ------- 145 122 151 98 144 14 15 848 63 35 708 52 31 348

Victoria, TX MSA 44 ------------ 53 152 48 32 915 5 (D) 19 9 380 17 (D)

Visalia–Tulare–Porterville, CA

MSA 92 ---------------------- 119 014 134 62 005 12 5 338 45 15 559 39 14 317

Waco, TX MSA 94 ------------- 83 572 100 52 029 9 3 460 42 15 589 37 14 768

Washington–Baltimore,

DC–MD–VA–WV CMSA 2 ----- 224 3 611 056 4 368 3 758 483 540 (D) 1 644 1 282 180 1 312 (D)

Baltimore, MD PMSA 731 ------ 1 128 504 1 530 1 074 680 209 127 992 553 370 805 441 321 023 Hagerstown, MD PMSA 71 ---- 76 940 59 25 585 4 (D) 24 9 269 22 (D)

Washington,

DC–MD–VA–WV PMSA 1 --- 422 2 405 612 2 779 2 658 218 327 310 562 1 067 902 106 849 792 477

Waterloo–Cedar Falls, IA

MSA 62 ---------------------- 75 628 76 32 419 10 (D) 34 15 898 30 15 044

Wausau, WI MSA 59 ----------- 71 488 59 27 112 5 2 148 30 14 369 27 13 542

West Palm Beach–Boca

Raton, FL MSA 328 ------------ 502 897 870 627 729 82 45 002 421 313 838 350 284 400

Wheeling, WV–OH MSA 88 ----- 94 298 94 47 952 9 2 749 33 16 541 28 14 588

Wichita, KS MSA 221 ------------ 258 321 257 171 209 24 15 536 105 54 304 88 49 125

Wichita Falls, TX MSA 73 ------- 63 925 76 37 093 10 5 479 33 14 120 29 (D)

Williamsport, PA MSA 44 ------- 41 767 72 46 855 5 1 523 28 15 142 26 (D)

Wilmington, NC MSA 91 -------- 117 737 163 83 024 14 5 588 65 34 218 57 31 369 Yakima, WA MSA 70 ----------- 92 612 89 58 284 9 (D) 33 9 153 29 8 167 York, PA MSA 119 -------------- 152 484 179 90 071 19 5 861 69 31 150 58 28 385

Youngstown-Warren, OH

MSA 273 ---------------------- 325 243 319 182 650 36 18 479 136 66 911 119 61 343 Yuba City, CA MSA 37 --------- 49 195 38 18 209 1 (D) 17 5 571 14 (D)

Yuma, AZ MSA 46 ------------- 77 370 56 27 599 5 1 953 18 5 843 17 (D)

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–97
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 88

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Apparel and accessory stores

(SIC 56)mCon.

Women’s clothing and specialty stores (SIC 562, 3)mCon.

Women’s accessory and specialty stores

(SIC 563)

Family clothing stores

(SIC 565)

Shoe stores

(SIC 566)

Other apparel and accessory stores (SIC 564, 9)

Furniture and homefurnishings

stores (SIC 57)

Total

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Springfield, MA MSA 15 -------- 5 240 36 64 887 96 38 436 26 17 855 246 163 926

State College, PA MSA 6 ------ 1 957 13 12 133 21 9 429 10 3 166 64 36 329

Steubenville–Weirton, OH–WV

MSA 2 ---------------------- (D) 4 (D) 17 5 484 5 (D) 51 33 753

Stockton–Lodi, CA MSA 13 ----- 4 133 25 32 122 54 23 372 18 6 797 151 121 572

Sumter, SC MSA 4 ------------ 626 5 (D) 16 6 568 3 (D) 51 23 489

Syracuse, NY MSA 34 ---------- 13 274 63 117 461 123 48 467 42 17 221 283 244 098 Tallahassee, FL MSA 7 -------- 3 267 11 28 450 43 16 617 14 6 021 114 87 276 Tampa–St. Petersburg–

Clearwater, FL MSA 87 -------- 31 171 164 273 534 303 134 648 144 45 740 1 078 865 533 Terre Haute, IN MSA 4 -------- 915 7 (D) 23 12 644 6 254 62 48 112 Texarkana, TX–Texarkana, AR

MSA 4 ---------------------- 914 10 26 586 18 9 219 8 1 861 48 33 750

Toledo, OH MSA 22 ------------ 7 502 26 37 617 104 42 524 27 10 441 253 209 437

Topeka, KS MSA 7 ------------ 2 165 9 12 113 29 12 969 12 2 825 75 72 981

Tucson, AZ MSA 22 ------------ 8 612 51 84 493 94 47 139 40 12 795 328 234 217

Tulsa, OK MSA 23 ------------- 7 866 62 112 173 92 36 939 42 15 322 289 250 970

Tuscaloosa, AL MSA 3 -------- (D) 11 33 539 22 12 873 12 5 278 82 51 068

Tyler, TX MSA 6 -------------- 2 033 10 21 743 23 11 257 14 5 046 67 57 051

Utica–Rome, NY MSA 11 ------- 4 360 22 23 931 44 17 068 8 5 589 134 74 736

Victoria, TX MSA 2 ------------ (D) 8 14 213 13 5 491 3 (D) 32 35 230

Visalia–Tulare–Porterville, CA

MSA 6 ---------------------- 1 242 20 19 831 38 15 790 19 5 487 106 67 485

Waco, TX MSA 5 ------------- 821 15 16 242 25 11 722 9 5 016 75 55 855

Washington–Baltimore,

DC–MD–VA–WV CMSA 332 ----- (D) 552 1 202 112 1 195 624 855 437 (D) 3 265 3 354 892 Baltimore, MD PMSA 112 ------ 49 782 183 280 007 433 220 217 152 75 659 1 025 871 112 Hagerstown, MD PMSA 2 ---- (D) 7 4 460 17 7 824 7 (D) 49 39 034 Washington,

DC–MD–VA–WV PMSA 218 --- 109 629 362 917 645 745 396 814 278 131 091 2 191 2 444 746

Waterloo–Cedar Falls, IA

MSA 4 ---------------------- 854 9 4 335 20 7 913 3 (D) 53 40 738

Wausau, WI MSA 3 ----------- 827 4 3 022 17 6 967 3 606 46 38 609

West Palm Beach–Boca

Raton, FL MSA 71 ------------ 29 438 92 150 495 182 87 944 93 30 450 686 502 606

Wheeling, WV–OH MSA 5 ----- 1 953 13 16 157 28 10 481 11 2 024 66 48 481

Wichita, KS MSA 17 ------------ 5 179 33 56 118 72 37 156 23 8 095 196 174 496

Wichita Falls, TX MSA 4 ------- (D) 10 7 733 14 7 160 9 2 601 49 38 207 Williamsport, PA MSA 2 ------- (D) 11 20 008 23 9 246 5 936 46 37 106 Wilmington, NC MSA 8 -------- 2 849 27 21 011 34 16 288 23 5 919 124 74 885 Yakima, WA MSA 4 ----------- 986 16 32 661 26 10 036 5 (D) 61 43 204 York, PA MSA 11 -------------- 2 765 21 21 681 58 26 137 12 5 242 135 89 610

Youngstown-Warren, OH

MSA 17 ---------------------- 5 568 31 50 924 91 35 206 25 11 130 235 215 639 Yuba City, CA MSA 3 --------- (D) 5 4 549 12 7 432 3 (D) 51 29 689 Yuma, AZ MSA 1 ------------- (D) 11 12 564 15 6 274 7 965 42 31 093

See footnotes at end of table.

US–98nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 89

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Furniture and homefurnishings stores

(SIC 57)mCon.

Furniture stores (SIC 5712)Homefurnishings stores

(SIC 5713, 4, 9)

Household appliance stores

(SIC 572)

Radio, television,

computer, and music stores

(SIC 573)

Eating and drinking places

(SIC 58)

Total Eating places

(SIC 5812)

Total

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Springfield, MA MSA 66 -------- 46 639 63 29 018 29 33 637 88 54 632 1 107 419 011 904 384 119

State College, PA MSA 16 ------ 12 886 20 6 603 6 1 696 22 15 144 215 95 749 191 87 874

Steubenville–Weirton, OH–WV

MSA 17 ---------------------- 7 571 10 2 714 7 3 071 17 20 397 270 65 706 196 59 338

Stockton–Lodi, CA MSA 51 ----- 35 893 43 28 262 13 10 784 44 46 633 692 288 636 600 274 681

Sumter, SC MSA 19 ------------ 10 422 15 3 880 5 2 101 12 7 086 107 52 949 101 52 243

Syracuse, NY MSA 78 ---------- 107 693 82 48 686 21 12 351 102 75 368 1 538 544 721 1 256 503 611 Tallahassee, FL MSA 38 -------- 29 419 33 19 415 9 6 531 34 31 911 372 218 924 353 213 753 Tampa–St. Petersburg–

Clearwater, FL MSA 322 -------- 294 297 331 160 955 77 80 110 348 330 171 3 445 1 727 252 3 041 1 640 435 Terre Haute, IN MSA 18 -------- 10 270 11 8 387 14 15 850 19 13 605 285 135 654 240 129 434 Texarkana, TX–Texarkana, AR

MSA 17 ---------------------- 11 932 11 4 771 6 7 359 14 9 688 172 76 301 160 75 017

Toledo, OH MSA 68 ------------ 61 962 67 38 748 19 21 831 99 86 896 1 238 579 429 999 544 946

Topeka, KS MSA 17 ------------ 18 749 24 10 523 6 1 792 28 41 917 311 140 371 262 131 272

Tucson, AZ MSA 105 ------------ 81 358 76 39 145 16 8 124 131 105 590 1 164 525 088 987 480 275

Tulsa, OK MSA 68 ------------- 78 290 83 49 129 32 27 252 106 96 299 1 311 570 772 1 209 550 244

Tuscaloosa, AL MSA 33 -------- 17 174 17 9 869 5 3 413 27 20 612 214 110 270 194 106 797

Tyler, TX MSA 22 -------------- 20 904 18 (D) 6 (D) 21 21 840 215 108 700 207 107 025

Utica–Rome, NY MSA 30 ------- 18 775 47 25 899 14 10 047 43 20 015 651 191 418 536 180 185

Victoria, TX MSA 9 ------------ 21 544 6 (D) 4 (D) 13 7 865 127 56 440 114 52 442

Visalia–Tulare–Porterville, CA

MSA 36 ---------------------- 28 547 30 14 639 9 6 118 31 18 181 438 156 464 394 150 477

Waco, TX MSA 21 ------------- 21 574 21 13 902 8 3 001 25 17 378 320 146 312 281 138 685

Washington–Baltimore,

DC–MD–VA–WV CMSA 797 ----- 966 856 1 144 (D) 199 (D) 1 125 1 481 196 11 229 6 239 766 10 393 6 016 426 Baltimore, MD PMSA 265 ------ 277 980 339 204 928 72 73 586 349 314 618 3 938 1 946 643 3 347 1 811 974 Hagerstown, MD PMSA 15 ---- 15 664 13 (D) 2 (D) 19 9 493 216 78 609 175 73 100 Washington,

DC–MD–VA–WV PMSA 517 --- 673 212 792 523 678 125 90 771 757 1 157 085 7 075 4 214 514 6 871 4 131 352

Waterloo–Cedar Falls, IA

MSA 16 ---------------------- 14 829 11 6 972 8 4 772 18 14 165 257 98 810 195 88 202

Wausau, WI MSA 15 ----------- 23 119 13 (D) 5 (D) 13 7 275 230 73 627 177 66 637

West Palm Beach–Boca

Raton, FL MSA 236 ------------ 204 678 273 133 018 39 30 207 138 134 703 1 719 930 494 1 585 887 055

Wheeling, WV–OH MSA 19 ----- 20 184 19 (D) 4 (D) 24 15 544 301 97 756 233 90 702

Wichita, KS MSA 53 ------------ 50 959 53 28 483 18 16 299 72 78 755 993 451 967 884 432 253

Wichita Falls, TX MSA 19 ------- 11 663 5 3 041 8 10 858 17 12 645 236 102 657 200 93 703 Williamsport, PA MSA 11 ------- 9 343 15 (D) 6 (D) 14 11 559 254 75 038 195 66 738 Wilmington, NC MSA 46 -------- 32 569 38 18 021 7 3 196 33 21 099 419 194 224 391 190 917 Yakima, WA MSA 13 ----------- 14 964 20 10 966 8 7 128 20 10 146 331 117 347 276 107 046 York, PA MSA 38 -------------- 32 567 40 21 584 11 7 298 46 28 161 523 213 416 441 196 804

Youngstown-Warren, OH

MSA 64 ---------------------- 90 487 66 41 480 24 10 982 81 72 690 1 057 398 171 833 369 831 Yuba City, CA MSA 15 --------- 10 258 16 7 723 7 5 071 13 6 637 189 66 495 164 63 060 Yuma, AZ MSA 16 ------------- 14 508 10 (D) 3 (D) 13 13 310 170 78 506 142 72 776

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–99
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 90

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Eating and drinking places

(SIC 58)mCon.

Eating places

(SIC 5812)mCon.

Restaurants

(SIC 5812 pt.)

Cafeterias

(SIC 5812 pt.)

Refreshment places

(SIC 5812 pt.)

Other eating places

(SIC 5812 pt.)

Drinking places

(SIC 5813)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Springfield, MA MSA 445 -------- 203 524 12 2 634 362 141 986 85 35 975 203 34 892

State College, PA MSA 94 ------ 51 263 1 (D) 85 35 190 11 (D) 24 7 875

Steubenville–Weirton, OH–WV

MSA 75 ---------------------- 23 267 1 (D) 87 29 817 33 (D) 74 6 368

Stockton–Lodi, CA MSA 281 ----- 120 154 6 (D) 276 143 501 37 (D) 92 13 955

Sumter, SC MSA 33 ------------ 12 472 1 (D) 57 35 298 10 (D) 6 706

Syracuse, NY MSA 575 ---------- 237 132 7 2 873 497 189 316 177 74 290 282 41 110 Tallahassee, FL MSA 135 -------- 89 135 5 (D) 179 101 806 34 (D) 19 5 171 Tampa–St. Petersburg–

Clearwater, FL MSA 1 -------- 483 871 389 56 55 536 1 240 586 847 262 126 663 404 86 817 Terre Haute, IN MSA 94 -------- 50 503 4 5 125 107 59 925 35 13 881 45 6 220 Texarkana, TX–Texarkana, AR

MSA 56 ---------------------- 25 648 6 7 762 92 39 580 6 2 027 12 1 284

Toledo, OH MSA 414 ------------ 221 243 8 7 403 471 225 258 106 91 042 239 34 483

Topeka, KS MSA 105 ------------ 52 747 8 5 334 129 66 929 20 6 262 49 9 099

Tucson, AZ MSA 444 ------------ 231 751 17 (D) 425 201 438 101 (D) 177 44 813

Tulsa, OK MSA 436 ------------- 201 457 19 24 816 640 266 883 114 57 088 102 20 528

Tuscaloosa, AL MSA 59 -------- 32 334 5 5 131 107 60 533 23 8 799 20 3 473

Tyler, TX MSA 75 -------------- 41 099 7 7 724 108 54 371 17 3 831 8 1 675

Utica–Rome, NY MSA 289 ------- 85 121 6 2 445 195 73 019 46 19 600 115 11 233

Victoria, TX MSA 43 ------------ 18 117 3 (D) 61 28 714 7 (D) 13 3 998

Visalia–Tulare–Porterville, CA

MSA 171 ---------------------- 60 727 5 1 912 186 84 301 32 3 537 44 5 987

Waco, TX MSA 96 ------------- 46 094 13 11 402 147 65 599 25 15 590 39 7 627

Washington–Baltimore,

DC–MD–VA–WV CMSA 4 ----- 306 2 774 729 164 (D) 4 414 2 225 357 1 509 (D) 836 223 340 Baltimore, MD PMSA 1 ------ 242 761 766 46 (D) 1 604 719 628 455 (D) 591 134 669 Hagerstown, MD PMSA 75 ---- 31 958 – – 92 39 584 8 1 558 41 5 509 Washington,

DC–MD–VA–WV PMSA 2 --- 989 1 981 005 118 40 682 2 718 1 466 145 1 046 643 520 204 83 162

Waterloo–Cedar Falls, IA

MSA 82 ---------------------- 36 847 5 6 309 89 38 715 19 6 331 62 10 608

Wausau, WI MSA 78 ----------- 31 921 1 (D) 66 29 657 32 (D) 53 6 990

West Palm Beach–Boca

Raton, FL MSA 854 ------------ 549 058 15 12 726 572 273 499 144 51 772 134 43 439

Wheeling, WV–OH MSA 80 ----- 34 207 6 6 735 115 40 292 32 9 468 68 7 054

Wichita, KS MSA 337 ------------ 172 192 18 13 082 452 216 084 77 30 895 109 19 714

Wichita Falls, TX MSA 67 ------- 30 699 4 (D) 116 45 179 13 (D) 36 8 954 Williamsport, PA MSA 90 ------- 30 762 2 (D) 79 25 758 24 (D) 59 8 300 Wilmington, NC MSA 193 -------- 89 269 4 (D) 168 85 355 26 (D) 28 3 307 Yakima, WA MSA 132 ----------- 52 192 1 (D) 134 50 790 9 (D) 55 10 301 York, PA MSA 210 -------------- 97 917 4 (D) 192 87 965 35 (D) 82 16 612

Youngstown-Warren, OH

MSA 328 ---------------------- 163 732 6 1 424 386 173 095 113 31 580 224 28 340 Yuba City, CA MSA 84 --------- 28 785 – – 71 31 941 9 2 334 25 3 435 Yuma, AZ MSA 64 ------------- 32 260 2 (D) 64 34 210 12 (D) 28 5 730

See footnotes at end of table.

US–100nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 91

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Drug and proprietary stores

(SIC 591)

Miscellaneous retail stores

(SIC 59 ex. 591)

Total Liquor stores

(SIC 592)

Used merchandise stores

(SIC 593)

Miscellaneous shopping goods

stores (SIC 594)

Total

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Springfield, MA MSA 126 -------- 195 842 779 503 255 136 129 843 35 6 990 276 148 012

State College, PA MSA 26 ------ 32 582 146 81 248 10 10 781 1 (D) 75 34 080

Steubenville–Weirton, OH–WV

MSA 40 ---------------------- 53 360 133 42 992 10 2 828 2 (D) 56 20 460

Stockton–Lodi, CA MSA 96 ----- 180 518 411 192 027 50 28 008 20 8 956 170 89 729

Sumter, SC MSA 9 ------------ 12 404 79 25 032 8 2 461 7 1 102 34 11 351

Syracuse, NY MSA 141 ---------- 253 321 816 417 349 74 36 982 45 8 250 344 169 457 Tallahassee, FL MSA 41 -------- 64 791 310 151 738 31 26 731 33 5 825 132 77 014 Tampa–St. Petersburg–

Clearwater, FL MSA 355 -------- 787 343 2 745 2 995 831 183 108 811 232 58 905 1 123 494 709 Terre Haute, IN MSA 28 -------- 54 749 161 (D) 20 (D) 9 (D) 58 (D)

Texarkana, TX–Texarkana, AR

MSA 24 ---------------------- 20 702 127 46 627 23 15 328 8 627 45 14 441

Toledo, OH MSA 114 ------------ 217 627 659 379 870 43 21 319 41 10 539 275 148 335

Topeka, KS MSA 29 ------------ 54 547 245 101 242 46 18 494 26 4 853 96 49 095

Tucson, AZ MSA 79 ------------ 232 420 891 585 427 30 11 488 73 23 035 428 221 978

Tulsa, OK MSA 138 ------------- 169 452 910 426 285 74 36 455 108 33 574 346 181 342

Tuscaloosa, AL MSA 38 -------- 51 604 160 64 911 8 8 580 8 1 982 80 34 067

Tyler, TX MSA 34 -------------- 39 260 193 86 152 2 (D) 21 4 024 80 50 405

Utica–Rome, NY MSA 70 ------- 138 685 341 183 204 23 10 527 9 1 568 145 65 217

Victoria, TX MSA 15 ------------ 17 361 101 (D) 6 (D) 13 (D) 38 (D)

Visalia–Tulare–Porterville, CA

MSA 51 ---------------------- 108 300 261 120 771 26 11 961 19 5 048 115 50 517

Waco, TX MSA 29 ------------- 32 718 192 103 134 17 13 003 27 7 471 74 40 498

Washington–Baltimore,

DC–MD–VA–WV CMSA 1 ----- 029 2 013 368 8 837 5 357 782 1 263 920 399 504 168 812 3 758 2 314 208 Baltimore, MD PMSA 411 ------ 687 773 3 246 1 863 236 598 370 545 158 45 700 1 252 702 318 Hagerstown, MD PMSA 20 ---- 37 672 185 85 727 30 14 240 14 2 093 68 21 981 Washington,

DC–MD–VA–WV PMSA 598 --- 1 287 923 5 406 3 408 819 635 535 614 332 121 019 2 438 1 589 909

Waterloo–Cedar Falls, IA

MSA 21 ---------------------- 36 263 171 84 173 5 3 044 15 2 406 93 40 522

Wausau, WI MSA 14 ----------- 13 271 130 105 584 3 (D) 8 2 061 54 22 131

West Palm Beach–Boca

Raton, FL MSA 166 ------------ 381 646 1 522 784 135 94 50 435 129 48 990 655 341 978

Wheeling, WV–OH MSA 41 ----- 69 733 181 62 721 14 7 274 10 1 788 81 32 199

Wichita, KS MSA 69 ------------ 86 130 642 331 522 106 59 147 63 13 013 236 129 435

Wichita Falls, TX MSA 27 ------- 28 729 161 56 752 22 9 564 11 3 210 61 27 143 Williamsport, PA MSA 35 ------- 39 709 163 126 479 16 10 733 6 1 380 64 28 502 Wilmington, NC MSA 50 -------- 68 780 278 112 199 23 14 778 18 5 120 128 47 893 Yakima, WA MSA 28 ----------- 40 407 212 80 061 18 9 181 14 3 342 95 33 735 York, PA MSA 66 -------------- 95 809 383 781 959 25 28 373 17 (D) 181 87 099

Youngstown-Warren, OH

MSA 132 ---------------------- 226 505 647 333 675 73 41 284 29 6 403 261 127 357 Yuba City, CA MSA 15 --------- 38 260 97 36 574 4 1 425 6 2 395 38 18 399 Yuma, AZ MSA 12 ------------- 29 309 103 31 447 9 2 637 4 531 43 14 743

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–101
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 92

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Miscellaneous retail stores

(SIC 59 ex. 591)mCon.

Miscellaneous shopping goods stores

(SIC 594)mCon.

Sporting goods stores and

bicycle shops

(SIC 5941)

Book stores

(SIC 5942)

Jewelry stores

(SIC 5944)

Other miscellaneous

shopping goods stores

(SIC 5943, 5, 6, 7, 8, 9)

Nonstore retailers (SIC 596)Fuel dealers

(SIC 598)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Estab- lishments (number)

Sales

($1,000)

Springfield, MA MSA 56 -------- 33 756 37 25 636 56 25 871 127 62 749 62 54 581 68 102 511

State College, PA MSA 15 ------ 5 605 9 6 056 13 6 115 38 16 304 13 (D) 6 16 385

Steubenville–Weirton, OH–WV

MSA 11 ---------------------- 2 267 4 1 581 19 9 025 22 7 587 10 7 331 7 2 758

Stockton–Lodi, CA MSA 34 ----- 19 340 13 5 463 41 17 714 82 47 212 29 15 286 5 6 169

Sumter, SC MSA 1 ------------ (D) 2 (D) 8 5 291 23 4 614 1 (D) 2 (D)

Syracuse, NY MSA 69 ---------- 45 874 44 25 191 64 26 346 167 72 046 82 69 370 32 59 156 Tallahassee, FL MSA 31 -------- 14 739 19 25 552 23 11 741 59 24 982 25 6 553 10 11 179 Tampa–St. Petersburg–

Clearwater, FL MSA 180 -------- 106 193 99 52 556 281 117 314 563 218 646 229 2 024 485 35 28 872 Terre Haute, IN MSA 12 -------- (D) 7 (D) 12 (D) 27 (D) 15 (D) 7 (D)

Texarkana, TX–Texarkana, AR

MSA 8 ---------------------- 1 271 3 819 12 5 832 22 6 519 5 1 720 4 2 192

Toledo, OH MSA 52 ------------ 25 887 28 23 515 58 24 892 137 74 041 68 105 740 15 17 201

Topeka, KS MSA 13 ------------ 7 440 8 3 593 20 10 791 55 27 271 16 12 316 2 (D)

Tucson, AZ MSA 80 ------------ 51 095 48 27 747 99 45 883 201 97 253 95 223 694 4 (D)

Tulsa, OK MSA 62 ------------- 35 536 37 19 940 78 40 341 169 85 525 82 55 719 21 16 784

Tuscaloosa, AL MSA 11 -------- 7 243 11 7 219 23 10 364 35 9 241 11 6 919 3 (D)

Tyler, TX MSA 22 -------------- 8 957 9 6 736 15 6 672 34 28 040 17 9 353 8 4 657

Utica–Rome, NY MSA 39 ------- 16 835 13 6 171 22 10 989 71 31 222 40 39 082 29 40 544

Victoria, TX MSA 5 ------------ 1 807 4 (D) 11 5 005 18 8 068 6 (D) 5 (D)

Visalia–Tulare–Porterville, CA

MSA 27 ---------------------- 14 879 9 3 191 30 11 777 49 20 670 27 22 085 3 (D)

Waco, TX MSA 9 ------------- 4 371 10 10 350 19 9 260 36 16 517 14 24 746 3 4 378

Washington–Baltimore,

DC–MD–VA–WV CMSA 634 ----- 449 326 434 311 952 801 438 389 1 889 1 114 541 704 758 070 174 361 547 Baltimore, MD PMSA 226 ------ 125 564 132 75 476 260 145 897 634 355 381 287 281 514 81 164 083 Hagerstown, MD PMSA 8 ---- 3 606 6 1 887 19 6 379 35 10 109 18 15 710 8 19 762 Washington,

DC–MD–VA–WV PMSA 400 --- 320 156 296 234 589 522 286 113 1 220 749 051 399 460 846 85 177 702

Waterloo–Cedar Falls, IA

MSA 20 ---------------------- 11 210 11 9 749 22 7 285 40 12 278 16 18 522 4 6 547

Wausau, WI MSA 11 ----------- 5 061 4 2 808 11 6 610 28 7 652 22 62 848 5 5 465

West Palm Beach–Boca

Raton, FL MSA 133 ------------ 77 386 40 27 168 199 104 750 283 132 674 122 167 250 9 (D)

Wheeling, WV–OH MSA 15 ----- 3 722 8 3 086 18 6 390 40 19 001 13 5 668 4 2 581

Wichita, KS MSA 50 ------------ 19 200 17 20 693 50 27 169 119 62 373 51 72 818 11 5 237

Wichita Falls, TX MSA 6 ------- (D) 8 4 260 13 (D) 34 15 323 9 3 220 2 (D)

Williamsport, PA MSA 11 ------- 5 205 4 2 246 17 10 341 32 10 710 17 44 965 8 27 493 Wilmington, NC MSA 29 -------- 10 680 8 3 083 25 10 067 66 24 063 23 20 553 9 6 015 Yakima, WA MSA 27 ----------- 9 544 8 2 791 16 7 525 44 13 875 16 10 938 5 3 257 York, PA MSA 35 -------------- 27 697 14 6 012 34 10 762 98 42 628 35 (D) 13 (D)

Youngstown-Warren, OH

MSA 49 ---------------------- 21 811 20 8 987 68 33 635 124 62 924 54 85 927 21 22 697 Yuba City, CA MSA 9 --------- (D) 4 (D) 9 4 832 16 7 249 7 1 826 4 2 276 Yuma, AZ MSA 11 ------------- 5 302 3 (D) 9 (D) 20 5 409 9 4 474 3 1 484

See footnotes at end of table.

US–102nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 93

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 5. Establishments and Sales for Metropolitan Areas: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Miscellaneous retail stores

(SIC 59 ex. 591)mCon.

Florists

(SIC 5992)

Tobacco stores and stands

(SIC 5993)

News dealers and newsstands

(SIC 5994)

Optical goods stores

(SIC 5995)

Miscellaneous retail stores,

n.e.c.

(SIC 5999)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Establishments

(number)

Sales

($1,000)

Springfield, MA MSA 66 -------- 13 240 5 2 187 11 3 178 47 11 741 73 30 972

State College, PA MSA 14 ------ 3 389 1 (D) 1 (D) 12 3 434 13 (D)

Steubenville–Weirton, OH–WV

MSA 21 ---------------------- 3 273 1 (D) 3 533 6 1 768 17 3 672

Stockton–Lodi, CA MSA 37 ----- 8 809 4 (D) 6 1 589 18 3 831 72 (D)

Sumter, SC MSA 6 ------------ 1 004 – – – – 3 1 480 18 (D)

Syracuse, NY MSA 73 ---------- 14 894 10 2 104 11 5 048 53 22 115 92 29 973 Tallahassee, FL MSA 27 -------- 6 187 1 (D) 2 (D) 10 5 537 39 12 068 Tampa–St. Petersburg–

Clearwater, FL MSA 232 -------- 41 735 13 5 092 18 3 739 188 63 977 492 165 506 Terre Haute, IN MSA 22 -------- (D) 1 (D) – – 4 (D) 25 (D)

Texarkana, TX–Texarkana, AR

MSA 16 ---------------------- 2 663 – – 1 (D) 5 1 291 20 (D)

Toledo, OH MSA 69 ------------ 19 572 3 (D) 6 965 37 10 669 102 (D)

Topeka, KS MSA 13 ------------ 3 626 – – 2 (D) 11 2 860 33 (D)

Tucson, AZ MSA 61 ------------ 15 383 7 7 297 1 (D) 45 15 212 147 (D)

Tulsa, OK MSA 90 ------------- 16 277 16 23 964 1 (D) 47 11 639 125 (D)

Tuscaloosa, AL MSA 17 -------- 3 187 – – – – 10 2 940 23 (D)

Tyler, TX MSA 19 -------------- 3 716 – – 1 (D) 14 4 436 31 (D)

Utica–Rome, NY MSA 36 ------- 6 635 2 (D) 8 1 632 18 5 749 31 (D)

Victoria, TX MSA 8 ------------ (D) – – – – 8 (D) 17 (D)

Visalia–Tulare–Porterville, CA

MSA 23 ---------------------- 5 794 1 (D) 1 (D) 5 1 262 41 (D)

Waco, TX MSA 21 ------------- 3 973 1 (D) – – 7 2 543 28 (D)

Washington–Baltimore,

DC–MD–VA–WV CMSA 653 ----- 181 912 36 (D) 76 (D) 523 185 661 1 146 (D)

Baltimore, MD PMSA 231 ------ 64 855 16 (D) 29 (D) 186 63 963 408 151 125 Hagerstown, MD PMSA 19 ---- 3 523 – – 1 (D) 10 3 658 17 (D)

Washington,

DC–MD–VA–WV PMSA 403 --- 113 534 20 7 449 46 11 357 327 118 040 721 273 349

Waterloo–Cedar Falls, IA

MSA 12 ---------------------- 3 804 – – – – 11 3 015 15 6 313

Wausau, WI MSA 11 ----------- 1 758 – – 1 (D) 7 2 191 19 7 292

West Palm Beach–Boca

Raton, FL MSA 113 ------------ 26 471 6 1 626 10 4 297 110 33 886 274 (D)

Wheeling, WV–OH MSA 17 ----- 3 393 1 (D) 3 594 9 3 286 29 (D)

Wichita, KS MSA 60 ------------ 14 419 4 3 079 2 (D) 27 8 624 82 (D)

Wichita Falls, TX MSA 22 ------- 3 573 – – – – 11 3 273 23 (D)

Williamsport, PA MSA 18 ------- 3 837 – – 5 1 144 9 2 753 20 5 672 Wilmington, NC MSA 21 -------- 4 563 1 (D) 1 (D) 15 3 662 39 (D)

Yakima, WA MSA 18 ----------- 4 165 4 5 361 1 (D) 9 2 641 32 (D)

York, PA MSA 25 -------------- (D) 2 (D) 10 (D) 21 (D) 54 (D)

Youngstown-Warren, OH

MSA 72 ---------------------- 14 227 4 363 13 2 883 43 10 664 77 21 870 Yuba City, CA MSA 11 --------- 2 250 1 (D) – – 5 788 21 (D)

Yuma, AZ MSA 14 ------------- 2 432 – – – – 6 1 561 15 3 585

1Includes sales from catalog order desks.

2Includes data for leased departments operated within department stores. Data for this line not included in broader kind-of-business totals.

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–103
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 94

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 6. Metropolitan Areas Ranked by Volume of Sales: 1992

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Cumulative

Rank

Sales

($1,000)

Sales

($1,000)

Percent

of

U.S.

total

United States (X) ----------------- 1 894 880 209 1 894 880 209 100.0

New York–Northern New Jersey–Long

Island, NY–NJ–CT–PA CMSA 1 ----------- 140 681 060 140 681 060 7.4

Los Angeles–Riverside–Orange County,

CA CMSA 2 ---------------------------- 107 567 217 248 248 277 13.1

Chicago–Gary–Kenosha, IL–IN–WI CMSA 3 - 64 858 219 313 106 496 16.5

Washington–Baltimore, DC–MD–VA–WV

CMSA 4 -------------------------------- 54 251 374 367 357 870 19.4

San Francisco–Oakland–San Jose, CA

CMSA 5 -------------------------------- 52 731 004 420 088 874 22.2

Philadelphia–Wilmington–Atlantic City,

PA–NJ–DE–MD CMSA 6 ----------------- 46 632 771 466 721 645 24.6

Boston–Worcester–Lawrence,

MA–NH–ME–CT CMSA 7 ----------------- 44 531 725 511 253 370 27.0

Detroit–Ann Arbor–Flint, MI CMSA 8 -------- 41 636 217 552 889 587 29.2

Dallas–Fort Worth, TX CMSA 9 ------------ 35 358 810 588 248 397 31.0

Miami–Fort Lauderdale, FL CMSA 10 -------- 32 181 812 620 430 209 32.7

Houston–Galveston–Brazoria, TX CMSA 11 -- 30 575 585 651 005 794 34.4

Atlanta, GA MSA 12 ----------------------- 26 525 002 677 530 796 35.8

Seattle–Tacoma–Bremerton, WA CMSA 13 --- 26 436 421 703 967 217 37.2

Minneapolis–St. Paul, MN–WI MSA 14 ------- 22 602 942 726 570 159 38.3

Cleveland–Akron, OH CMSA 15 ------------- 20 839 520 747 409 679 39.4

San Diego, CA MSA 16 -------------------- 19 215 928 766 625 607 40.5

St. Louis, MO–IL MSA 17 ------------------ 19 144 926 785 770 533 41.5

Phoenix–Mesa, AZ MSA 18 ----------------- 18 724 111 804 494 644 42.5

Tampa–St. Petersburg–Clearwater, FL

MSA 19 --------------------------------- 18 487 336 822 981 980 43.4

Denver–Boulder–Greeley, CO CMSA 20 ------ 17 743 440 840 725 420 44.4

Pittsburgh, PA MSA 21 --------------------- 17 574 782 858 300 202 45.3

Portland–Salem, OR–WA CMSA 22 ---------- 15 542 116 873 842 318 46.1

Cincinnati–Hamilton, OH–KY–IN CMSA 23 ---- 13 738 824 887 581 142 46.8

Milwaukee–Racine, WI CMSA 24 ------------ 12 746 634 900 327 776 47.5

Kansas City, MO–KS MSA 25 --------------- 12 655 398 912 983 174 48.2

Indianapolis, IN MSA 26 -------------------- 12 351 581 925 334 755 48.8

Orlando, FL MSA 27 ----------------------- 12 342 771 937 677 526 49.5

Columbus, OH MSA 28 -------------------- 12 224 047 949 901 573 50.1

Sacramento–Yolo, CA CMSA 29 ------------ 11 868 770 961 770 343 50.8

Norfolk–Virginia Beach–Newport News,

VA–NC MSA 30 -------------------------- 10 377 429 972 147 772 51.3

San Antonio, TX MSA 31 ------------------- 9 794 321 981 942 093 51.8

Charlotte–Gastonia–Rock Hill, NC–SC

MSA 32 --------------------------------- 9 494 749 991 436 842 52.3

New Orleans, LA MSA 33 ------------------ 9 265 062 1 000 701 904 52.8

Hartford, CT MSA 34 ---------------------- 9 231 880 1 009 933 784 53.3

Nashville, TN MSA 35 --------------------- 9 089 153 1 019 022 937 53.8

West Palm Beach–Boca Raton, FL MSA 36 -- 9 084 460 1 028 107 397 54.3 Buffalo–Niagara Falls, NY MSA 37 ---------- 8 846 860 1 036 954 257 54.7 Greensboro–Winston-Salem–High Point,

NC MSA 38 ------------------------------ 8 765 708 1 045 719 965 55.2

Salt Lake City–Ogden, UT MSA 39 ---------- 8 470 175 1 054 190 140 55.6

Las Vegas, NV–AZ MSA 40 ---------------- 8 364 728 1 062 554 868 56.1

Honolulu, HI MSA 41 ---------------------- 8 341 630 1 070 896 498 56.5

Providence–Fall River–Warwick, RI–MA

MSA 42 --------------------------------- 8 012 675 1 078 909 173 56.9

Memphis, TN–AR–MS MSA 43 -------------- 7 811 144 1 086 720 317 57.4

Jacksonville, FL MSA 44 ------------------- 7 768 766 1 094 489 083 57.8

Rochester, NY MSA 45 -------------------- 7 693 195 1 102 182 278 58.2

Austin–San Marcos, TX MSA 46 ------------ 7 683 796 1 109 866 074 58.6 Oklahoma City, OK MSA 47 ---------------- 7 637 661 1 117 503 735 59.0 Louisville, KY–IN MSA 48 ------------------ 7 540 548 1 125 044 283 59.4 Grand Rapids–Muskegon–Holland, MI

MSA 49 --------------------------------- 7 325 349 1 132 369 632 59.8 Raleigh–Durham–Chapel Hill, NC MSA 50 ---- 7 151 098 1 139 520 730 60.1

Dayton–Springfield, OH MSA 51 ------------ 6 993 460 1 146 514 190 60.5

Richmond–Petersburg, VA MSA 52 ---------- 6 888 232 1 153 402 422 60.9

Birmingham, AL MSA 53 ------------------- 6 728 107 1 160 130 529 61.2

Albany–Schenectady–Troy, NY MSA 54 ------ 6 646 526 1 166 777 055 61.6

Greenville–Spartanburg–Anderson, SC

MSA 55 --------------------------------- 6 342 370 1 173 119 425 61.9

Knoxville, TN MSA 56 ---------------------- 5 878 629 1 178 998 054 62.2

Tulsa, OK MSA 57 ------------------------ 5 787 569 1 184 785 623 62.5

Syracuse, NY MSA 58 --------------------- 5 315 427 1 190 101 050 62.8

Tucson, AZ MSA 59 ----------------------- 5 288 010 1 195 389 060 63.1

Omaha, NE–IA MSA 60 -------------------- 5 191 177 1 200 580 237 63.4

Fresno, CA MSA 61 ----------------------- 5 090 090 1 205 670 327 63.6 Harrisburg–Lebanon–Carlisle, PA MSA 62 ---- 5 000 798 1 210 671 125 63.9 Albuquerque, NM MSA 63 ------------------ 4 990 647 1 215 661 772 64.2 Toledo, OH MSA 64 ----------------------- 4 899 865 1 220 561 637 64.4

Sarasota–Bradenton, FL MSA 65 ------------ 4 501 628 1 225 063 265 64.7

Little Rock–North Little Rock, AR MSA 66 --- 4 499 355 1 229 562 620 64.9 Scranton–Wilkes-Barre–Hazleton, PA

MSA 67 --------------------------------- 4 492 974 1 234 055 594 65.1 Allentown–Bethlehem–Easton, PA MSA 68 --- 4 370 456 1 238 426 050 65.4 El Paso, TX MSA 69 ----------------------- 4 285 430 1 242 711 480 65.6 Youngstown–Warren, OH MSA 70 ----------- 4 200 723 1 246 912 203 65.8

Springfield, MA MSA 71 -------------------- 4 195 850 1 251 108 053 66.0

Wichita, KS MSA 72 ----------------------- 4 079 406 1 255 187 459 66.2

Baton Rouge, LA MSA 73 ------------------ 4 069 163 1 259 256 622 66.5

Melbourne–Titusville–Palm Bay, FL MSA 74 -- 3 915 909 1 263 172 531 66.7

Des Moines, IA MSA 75 -------------------- 3 732 790 1 266 905 321 66.9

Charleston–North Charleston, SC MSA 76 --- 3 725 594 1 270 630 915 67.1

Lexington, KY MSA 77 --------------------- 3 686 082 1 274 316 997 67.3 Columbia, SC MSA 78 --------------------- 3 681 931 1 277 998 928 67.4 Mobile, AL MSA 79 ------------------------ 3 596 272 1 281 595 200 67.6 Madison, WI MSA 80 ---------------------- 3 595 557 1 285 190 757 67.8

Geographic area

Cumulative

Rank

Sales

($1,000)

Sales

($1,000)

Percent

of

U.S.

total

United StatesmCon.

Fort Wayne, IN MSA 81 -------------------- 3 564 258 1 288 755 015 68.0

Bakersfield, CA MSA 82 -------------------- 3 472 405 1 292 227 420 68.2

Lansing–East Lansing, MI MSA 83 ---------- 3 470 344 1 295 697 764 68.4

Colorado Springs, CO MSA 84 -------------- 3 447 400 1 299 145 164 68.6

Chattanooga, TN–GA MSA 85 -------------- 3 414 845 1 302 560 009 68.7

Fort Myers–Cape Coral, FL MSA 86 --------- 3 393 129 1 305 953 138 68.9 Kalamazoo–Battle Creek, MI MSA 87 -------- 3 320 026 1 309 273 164 69.1 Lancaster, PA MSA 88 --------------------- 3 273 862 1 312 547 026 69.3 Saginaw–Bay City–Midland, MI MSA 89 ------ 3 246 290 1 315 793 316 69.4 Spokane, WA MSA 90 --------------------- 3 233 950 1 319 027 266 69.6

Daytona Beach, FL MSA 91 ---------------- 3 196 329 1 322 223 595 69.8

Augusta–Aiken, GA–SC MSA 92 ------------ 3 147 818 1 325 371 413 69.9

Jackson, MS MSA 93 ---------------------- 3 123 403 1 328 494 816 70.1

Johnson City–Kingsport–Bristol, TN–VA

MSA 94 --------------------------------- 3 093 586 1 331 588 402 70.3

Lakeland–Winter Haven, FL MSA 95 -------- 3 047 387 1 334 635 789 70.4

Canton–Massillon, OH MSA 96 ------------- 2 995 386 1 337 631 175 70.6

Stockton–Lodi, CA MSA 97 ----------------- 2 988 142 1 340 619 317 70.7

York, PA MSA 98 ------------------------- 2 981 943 1 343 601 260 70.9

Davenport–Moline–Rock Island, IA–IL

MSA 99 --------------------------------- 2 877 988 1 346 479 248 71.1

Modesto, CA MSA 100 ---------------------- 2 852 605 1 349 331 853 71.2

McAllen–Edinburg–Mission, TX MSA 101 ------ 2 779 373 1 352 111 226 71.4 Beaumont–Port Arthur, TX MSA 102 ---------- 2 745 302 1 354 856 528 71.5 Shreveport–Bossier City, LA MSA 103 -------- 2 733 429 1 357 589 957 71.6 Appleton–Oshkosh–Neenah, WI MSA 104 ----- 2 733 255 1 360 323 212 71.8 Santa Barbara–Santa Maria–Lompoc, CA

MSA 105 --------------------------------- 2 732 297 1 363 055 509 71.9

Reading, PA MSA 106 ---------------------- 2 730 932 1 365 786 441 72.1

Peoria–Pekin, IL MSA 107 ------------------- 2 723 764 1 368 510 205 72.2

Reno, NV MSA 108 ------------------------- 2 700 592 1 371 210 797 72.4

Boise City, ID MSA 109 --------------------- 2 684 394 1 373 895 191 72.5

Portland, ME MSA 110 ---------------------- 2 680 627 1 376 575 818 72.6

Pensacola, FL MSA 111 --------------------- 2 678 089 1 379 253 907 72.8

Springfield, MO MSA 112 -------------------- 2 663 361 1 381 917 268 72.9

Corpus Christi, TX MSA 113 ----------------- 2 582 969 1 384 500 237 73.1

Anchorage, AK MSA 114 -------------------- 2 572 741 1 387 072 978 73.2

Salinas, CA MSA 115 ----------------------- 2 518 649 1 389 591 627 73.3

Macon, GA MSA 116 ----------------------- 2 473 694 1 392 065 321 73.5 Eugene–Springfield, OR MSA 117 ------------ 2 458 659 1 394 523 980 73.6 Rockford, IL MSA 118 ---------------------- 2 421 940 1 396 945 920 73.7 New London–Norwich, CT–RI MSA 119 ------- 2 390 683 1 399 336 603 73.8 Montgomery, AL MSA 120 ------------------- 2 336 527 1 401 673 130 74.0

Lafayette, LA MSA 121 --------------------- 2 325 367 1 403 998 497 74.1

Huntsville, AL MSA 122 --------------------- 2 312 531 1 406 311 028 74.2 Evansville–Henderson, IN–KY MSA 123 ------- 2 303 715 1 408 614 743 74.3 Charleston, WV MSA 124 ------------------- 2 182 172 1 410 796 915 74.5 Fort Pierce–Port St. Lucie, FL MSA 125 ------- 2 168 736 1 412 965 651 74.6

Roanoke, VA MSA 126 ---------------------- 2 163 768 1 415 129 419 74.7

Hickory–Morganton, NC MSA 127 ------------ 2 140 137 1 417 269 556 74.8

Huntington–Ashland, WV–KY–OH MSA 128 --- 2 110 683 1 419 380 239 74.9

Savannah, GA MSA 129 -------------------- 2 089 111 1 421 469 350 75.0

Erie, PA MSA 130 -------------------------- 2 070 884 1 423 540 234 75.1

South Bend, IN MSA 131 -------------------- 2 043 641 1 425 583 875 75.2

Utica–Rome, NY MSA 132 ------------------- 1 993 527 1 427 577 402 75.3

Lubbock, TX MSA 133 ---------------------- 1 977 926 1 429 555 328 75.4

Fayetteville, NC MSA 134 ------------------- 1 950 465 1 431 505 793 75.5

Terre Haute, IN MSA 135 ------------------- 1 948 864 1 433 454 657 75.6

Biloxi–Gulfport–Pascagoula, MS MSA 136 ----- 1 909 901 1 435 364 558 75.7 Tallahassee, FL MSA 137 ------------------- 1 885 895 1 437 250 453 75.8 Duluth–Superior, MN–WI MSA 138 ----------- 1 870 481 1 439 120 934 75.9 St. Cloud, MN MSA 139 --------------------- 1 823 640 1 440 944 574 76.0 Visalia–Tulare–Porterville, CA MSA 140 ------- 1 821 980 1 442 766 554 76.1

Binghamton, NY MSA 141 ------------------- 1 818 558 1 444 585 112 76.2 Fayetteville–Springdale–Rogers, AR MSA 142 - 1 810 871 1 446 395 983 76.3 Green Bay, WI MSA 143 -------------------- 1 809 199 1 448 205 182 76.4 Columbus, GA–AL MSA 144 ----------------- 1 806 728 1 450 011 910 76.5 Odessa–Midland, TX MSA 145 --------------- 1 797 095 1 451 809 005 76.6

Naples, FL MSA 146 ------------------------ 1 783 047 1 453 592 052 76.7 Amarillo, TX MSA 147 ---------------------- 1 765 826 1 455 357 878 76.8 Lincoln, NE MSA 148 ----------------------- 1 750 650 1 457 108 528 76.9 Myrtle Beach, SC MSA 149 ------------------ 1 748 511 1 458 857 039 77.0 Brownsville–Harlingen–San Benito, TX

MSA 150 --------------------------------- 1 725 414 1 460 582 453 77.1

Wilmington, NC MSA 151 ------------------- 1 660 168 1 462 242 621 77.2

Springfield, IL MSA 152 --------------------- 1 657 361 1 463 899 982 77.3

Asheville, NC MSA 153 --------------------- 1 621 022 1 465 521 004 77.3

Fort Collins–Loveland, CO MSA 154 ---------- 1 617 604 1 467 138 608 77.4

Burlington, VT MSA 155 --------------------- 1 604 602 1 468 743 210 77.5

Lynchburg, VA MSA 156 -------------------- 1 583 977 1 470 327 187 77.6

Laredo, TX MSA 157 ----------------------- 1 568 160 1 471 895 347 77.7

Cedar Rapids, IA MSA 158 ------------------ 1 564 354 1 473 459 701 77.8

Ocala, FL MSA 159 ------------------------- 1 552 749 1 475 012 450 77.8

Bellingham, WA MSA 160 ------------------- 1 552 390 1 476 564 840 77.9

Provo–Orem, UT MSA 161 ------------------ 1 540 220 1 478 105 060 78.0

Gainesville, FL MSA 162 -------------------- 1 525 129 1 479 630 189 78.1 Longview–Marshall, TX MSA 163 ------------- 1 523 244 1 481 153 433 78.2 Barnstable–Yarmouth, MA MSA 164 ---------- 1 520 232 1 482 673 665 78.2 Sioux Falls, SD MSA 165 -------------------- 1 500 378 1 484 174 043 78.3

US–104nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 95

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 6. Metropolitan Areas Ranked by Volume of Sales: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For definitions of CMSA’s, MSA’s, and PMSA’s, see appendix D]

Geographic area

Cumulative

Rank

Sales

($1,000)

Sales

($1,000)

Percent

of

U.S.

total

United StatesmCon.

San Luis Obispo–Atascadero–Paso

Robles, CA MSA 166 ---------------------- 1 459 387 1 485 633 430 78.4

Medford–Ashland, OR MSA 167 -------------- 1 449 048 1 487 082 478 78.5

Johnstown, PA MSA 168 -------------------- 1 416 605 1 488 499 083 78.6

Fargo–Moorhead, ND–MN MSA 169 ---------- 1 414 643 1 489 913 726 78.6

Killeen–Temple, TX MSA 170 ---------------- 1 410 825 1 491 324 551 78.7

Waco, TX MSA 171 ------------------------- 1 390 795 1 492 715 346 78.8

Topeka, KS MSA 172 ----------------------- 1 361 191 1 494 076 537 78.8

Yakima, WA MSA 173 ---------------------- 1 345 185 1 495 421 722 78.9

Fort Smith, AR–OK MSA 174 ---------------- 1 326 961 1 496 748 683 79.0

Tyler, TX MSA 175 ------------------------- 1 312 238 1 498 060 921 79.1

Champaign–Urbana, IL MSA 176 ------------- 1 309 426 1 499 370 347 79.1 Chico–Paradise, CA MSA 177 ---------------- 1 290 658 1 500 661 005 79.2 Fort Walton Beach, FL MSA 178 ------------- 1 283 036 1 501 944 041 79.3 Lafayette, IN MSA 179 ---------------------- 1 265 150 1 503 209 191 79.3 Lima, OH MSA 180 ------------------------- 1 257 669 1 504 466 860 79.4

Lake Charles, LA MSA 181 ------------------ 1 255 006 1 505 721 866 79.5

Richland–Kennewick–Pasco, WA MSA 182 ---- 1 252 526 1 506 974 392 79.5

Elkhart–Goshen, IN MSA 183 ---------------- 1 243 240 1 508 217 632 79.6

Panama City, FL MSA 184 ------------------ 1 224 342 1 509 441 974 79.7

Mansfield, OH MSA 185 --------------------- 1 217 624 1 510 659 598 79.7

Redding, CA MSA 186 ---------------------- 1 216 184 1 511 875 782 79.8 Billings, MT MSA 187 ----------------------- 1 196 878 1 513 072 660 79.9 Monroe, LA MSA 188 ----------------------- 1 196 127 1 514 268 787 79.9 Santa Fe, NM MSA 189 --------------------- 1 194 919 1 515 463 706 80.0 Houma, LA MSA 190 ----------------------- 1 169 089 1 516 632 795 80.0

Eau Claire, WI MSA 191 -------------------- 1 164 396 1 517 797 191 80.1

Janesville–Beloit, WI MSA 192 --------------- 1 163 093 1 518 960 284 80.2

Clarksville–Hopkinsville, TN–KY MSA 193 ----- 1 141 829 1 520 102 113 80.2

Parkersburg–Marietta, WV–OH MSA 194 ------ 1 139 635 1 521 241 748 80.3

Charlottesville, VA MSA 195 ----------------- 1 133 400 1 522 375 148 80.3

Bloomington–Normal, IL MSA 196 ------------ 1 132 530 1 523 507 678 80.4

Rochester, MN MSA 197 -------------------- 1 126 027 1 524 633 705 80.5

Tuscaloosa, AL MSA 198 ------------------- 1 109 874 1 525 743 579 80.5

Joplin, MO MSA 199 ------------------------ 1 105 361 1 526 848 940 80.6

Wheeling, WV–OH MSA 200 ----------------- 1 101 861 1 527 950 801 80.6

Columbia, MO MSA 201 --------------------- 1 081 643 1 529 032 444 80.7 Waterloo–Cedar Falls, IA MSA 202 ----------- 1 074 916 1 530 107 360 80.7 La Crosse, WI–MN MSA 203 ---------------- 1 069 831 1 531 177 191 80.8 Altoona, PA MSA 204 ----------------------- 1 068 032 1 532 245 223 80.9 Dover, DE MSA 205 ------------------------ 1 065 566 1 533 310 789 80.9

Bangor, ME MSA 206 ----------------------- 1 053 816 1 534 364 605 81.0

Benton Harbor, MI MSA 207 ----------------- 1 036 884 1 535 401 489 81.0

Florence, SC MSA 208 ---------------------- 1 023 269 1 536 424 758 81.1

Florence, AL MSA 209 ---------------------- 1 007 851 1 537 432 609 81.1

Jackson, MI MSA 210 ----------------------- 1 007 492 1 538 440 101 81.2

Decatur, IL MSA 211 ------------------------ 1 006 239 1 539 446 340 81.2

Dothan, AL MSA 212 ----------------------- 1 004 306 1 540 450 646 81.3

Athens, GA MSA 213 ----------------------- 969 236 1 541 419 882 81.3

Abilene, TX MSA 214 ----------------------- 968 437 1 542 388 319 81.4

Glens Falls, NY MSA 215 ------------------- 950 786 1 543 339 105 81.4

Geographic area

Cumulative

Rank

Sales

($1,000)

Sales

($1,000)

Percent

of

U.S.

total

United StatesmCon.

Bryan–College Station, TX MSA 216 ---------- 949 982 1 544 289 087 81.5

Texarkana, TX–Texarkana, AR MSA 217 ------ 948 990 1 545 238 077 81.5

Wichita Falls, TX MSA 218 ------------------ 945 256 1 546 183 333 81.6

Rocky Mount, NC MSA 219 ----------------- 939 957 1 547 123 290 81.6

Alexandria, LA MSA 220 -------------------- 933 484 1 548 056 774 81.7

Sioux City, IA–NE MSA 221 ------------------ 915 282 1 548 972 056 81.7

Greenville, NC MSA 222 -------------------- 912 095 1 549 884 151 81.8

Williamsport, PA MSA 223 ------------------- 909 957 1 550 794 108 81.8

Wausau, WI MSA 224 ----------------------- 905 954 1 551 700 062 81.9

Lewiston–Auburn, ME MSA 225 -------------- 893 991 1 552 594 053 81.9

Pueblo, CO MSA 226 ----------------------- 893 566 1 553 487 619 82.0

Decatur, AL MSA 227 ----------------------- 888 799 1 554 376 418 82.0

State College, PA MSA 228 ----------------- 876 471 1 555 252 889 82.1

Rapid City, SD MSA 229 -------------------- 867 172 1 556 120 061 82.1

Albany, GA MSA 230 ----------------------- 860 116 1 556 980 177 82.2

Grand Forks, ND–MN MSA 231 -------------- 855 955 1 557 836 132 82.2

Muncie, IN MSA 232 ------------------------ 855 789 1 558 691 921 82.3

Merced, CA MSA 233 ----------------------- 844 312 1 559 536 233 82.3

Sharon, PA MSA 234 ----------------------- 827 801 1 560 364 034 82.3

Kokomo, IN MSA 235 ----------------------- 827 733 1 561 191 767 82.4

Jamestown, NY MSA 236 ------------------- 821 241 1 562 013 008 82.4

Punta Gorda, FL MSA 237 ------------------ 816 794 1 562 829 802 82.5

Bloomington, IN MSA 238 ------------------- 804 849 1 563 634 651 82.5

Yuma, AZ MSA 239 ------------------------ 804 699 1 564 439 350 82.6

Pittsfield, MA MSA 240 ---------------------- 799 415 1 565 238 765 82.6

Jacksonville, NC MSA 241 ------------------- 793 674 1 566 032 439 82.6

Las Cruces, NM MSA 242 ------------------- 793 457 1 566 825 896 82.7

Anniston, AL MSA 243 ---------------------- 780 822 1 567 606 718 82.7

Steubenville–Weirton, OH–WV MSA 244 ------ 767 968 1 568 374 686 82.8

Iowa City, IA MSA 245 ---------------------- 762 014 1 569 136 700 82.8

Bismarck, ND MSA 246 --------------------- 751 390 1 569 888 090 82.8

Sherman–Denison, TX MSA 247 ------------- 728 533 1 570 616 623 82.9

Sheboygan, WI MSA 248 -------------------- 723 222 1 571 339 845 82.9

San Angelo, TX MSA 249 ------------------- 720 768 1 572 060 613 83.0

Jackson, TN MSA 250 ---------------------- 718 580 1 572 779 193 83.0

Great Falls, MT MSA 251 ------------------- 714 430 1 573 493 623 83.0

Dubuque, IA MSA 252 ---------------------- 699 716 1 574 193 339 83.1

Yuba City, CA MSA 253 --------------------- 696 342 1 574 889 681 83.1

St. Joseph, MO MSA 254 ------------------- 695 288 1 575 584 969 83.1

Cheyenne, WY MSA 255 -------------------- 690 014 1 576 274 983 83.2

Lawton, OK MSA 256 ----------------------- 676 699 1 576 951 682 83.2

Owensboro, KY MSA 257 ------------------- 673 355 1 577 625 037 83.3

Danville, VA MSA 258 ---------------------- 672 786 1 578 297 823 83.3

Goldsboro, NC MSA 259 -------------------- 664 841 1 578 962 664 83.3

Elmira, NY MSA 260 ------------------------ 660 979 1 579 623 643 83.4

Cumberland, MD–WV MSA 261 -------------- 660 025 1 580 283 668 83.4

Victoria, TX MSA 262 ----------------------- 629 013 1 580 912 681 83.4

Gadsden, AL MSA 263 ---------------------- 611 987 1 581 524 668 83.5

Sumter, SC MSA 264 ----------------------- 580 901 1 582 105 569 83.5

Pine Bluff, AR MSA 265 --------------------- 579 641 1 582 685 210 83.5

Lawrence, KS MSA 266 --------------------- 560 481 1 583 245 691 83.6

Casper, WY MSA 267 ----------------------- 519 338 1 583 765 029 83.6

Enid, OK MSA 268 ------------------------- 412 300 1 584 177 329 83.6

Table 7. 250 Largest Counties Ranked by Volume of Sales: 1992

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For information on geographic areas followed by ó, see appendix F]

Geographic area

Cumulative

Rank

Sales

($1,000)

Sales

($1,000)

Percent of U.S.

total

United States (X) ----------------- 1 894 880 209 1 894 880 209 100.0

Los Angeles County, CA 1 ---------------- 63 127 489 63 127 489 3.3 Cook County, IL 2 ------------------------ 37 912 705 101 040 194 5.3

Harris County, TX 3 ---------------------- 25 035 894 126 076 088 6.7

Orange County, CA 4 --------------------- 21 240 136 147 316 224 7.8

San Diego County, CA 5 ------------------ 19 215 928 166 532 152 8.8

Dallas County, TX 6 ---------------------- 18 470 956 185 003 108 9.8 Maricopa County, AZ 7 ------------------- 18 144 347 203 147 455 10.7 Dade County, FL 8 ----------------------- 17 642 481 220 789 936 11.7 New York County, NY 9 ------------------- 17 442 237 238 232 173 12.6 King County, WA 10 ----------------------- 14 897 851 253 130 024 13.4

Broward County, FL 11 -------------------- 14 539 331 267 669 355 14.1

Nassau County, NY 12 --------------------- 13 752 351 281 421 706 14.9

Santa Clara County, CA 13 ----------------- 13 180 956 294 602 662 15.5

Wayne County, MI 14 ---------------------- 12 700 499 307 303 161 16.2

Oakland County, MI 15 --------------------- 12 035 247 319 338 408 16.9

Middlesex County, MA 16 ------------------ 11 139 340 330 477 748 17.4 Allegheny County, PA 17 ------------------- 10 833 906 341 311 654 18.0 Hennepin County, MN 18 ------------------- 10 823 604 352 135 258 18.6 Suffolk County, NY 19 --------------------- 10 795 088 362 930 346 19.2

Geographic area

Cumulative

Rank

Sales

($1,000)

Sales

($1,000)

Percent of U.S.

total

United StatesmCon.

Cuyahoga County, OH 20 ------------------ 10 222 194 373 152 540 19.7 Tarrant County, TX 21 --------------------- 10 070 136 383 222 676 20.2

Franklin County, OH 22 -------------------- 9 990 466 393 213 142 20.8

St. Louis County, MO 23 ------------------- 9 885 217 403 098 359 21.3

Alameda County, CA 24 -------------------- 9 684 917 412 783 276 21.8

San Bernardino County, CA 25 -------------- 9 490 638 422 273 914 22.3 Palm Beach County, FL 26 ----------------- 9 084 460 431 358 374 22.8 Bexar County, TX 27 ----------------------- 8 936 485 440 294 859 23.2 Bergen County, NJ 28 --------------------- 8 755 361 449 050 220 23.7 DuPage County, IL 29 ---------------------- 8 670 746 457 720 966 24.2

Fairfield County, CT 30 --------------------- 8 599 165 466 320 131 24.6

Riverside County, CA 31 ------------------- 8 481 126 474 801 257 25.1

Pinellas County, FL 32 --------------------- 8 451 895 483 253 152 25.5

Sacramento County, CA 33 ----------------- 8 401 564 491 654 716 25.9

Honolulu County, HI ó ------------------ 34 8 341 630 499 996 346 26.4

Marion County, IN 35 ---------------------- 8 289 348 508 285 694 26.8 Philadelphia County, PA 36 ----------------- 7 944 746 516 230 440 27.2 Hamilton County, OH 37 ------------------- 7 742 247 523 972 687 27.7 Hillsborough County, FL 38 ----------------- 7 686 678 531 659 365 28.1

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–105
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 96

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 7. 250 Largest Counties Ranked by Volume of Sales: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For information on geographic areas followed by ó, see appendix F]

Geographic area

Cumulative

Rank

Sales

($1,000)

Sales

($1,000)

Percent

of

U.S.

total

United StatesmCon.

Hartford County, CT 39 -------------------- 7 475 962 539 135 327 28.5

Westchester County, NY 40 ---------------- 7 441 033 546 576 360 28.8

Montgomery County, PA 41 ---------------- 7 435 222 554 011 582 29.2

Orange County, FL 42 --------------------- 7 397 885 561 409 467 29.6

Clark County, NV 43 ----------------------- 7 395 626 568 805 093 30.0

Queens County, NY 44 --------------------- 7 331 563 576 136 656 30.4

Erie County, NY 45 ------------------------ 7 244 316 583 380 972 30.8

Montgomery County, MD 46 ---------------- 7 236 132 590 617 104 31.2

Fairfax County, VA 47 ---------------------- 7 211 047 597 828 151 31.5

Milwaukee County, WI 48 ------------------ 7 139 542 604 967 693 31.9

Kings County, NY 49 ----------------------- 6 922 469 611 890 162 32.3 Shelby County, TN 50 ---------------------- 6 866 965 618 757 127 32.7 Macomb County, MI 51 -------------------- 6 865 635 625 622 762 33.0 Baltimore County, MD 52 ------------------- 6 766 884 632 389 646 33.4 Contra Costa County, CA 53 ---------------- 6 462 274 638 851 920 33.7

Fulton County, GA 54 ---------------------- 6 432 908 645 284 828 34.1

San Francisco County, CA 55 --------------- 6 379 072 651 663 900 34.4

New Haven County, CT 56 ----------------- 6 241 276 657 905 176 34.7

San Mateo County, CA 57 ------------------ 6 190 152 664 095 328 35.0

Salt Lake County, UT 58 ------------------- 6 117 585 670 212 913 35.4

Travis County, TX 59 ---------------------- 6 086 474 676 299 387 35.7

Duval County, FL 60 ----------------------- 6 015 387 682 314 774 36.0

Davidson County, TN 61 ------------------- 5 939 201 688 253 975 36.3

Jefferson County, AL 62 ------------------- 5 909 507 694 163 482 36.6

Prince George’s County, MD 63 ------------- 5 906 171 700 069 653 36.9

Jefferson County, KY 64 ------------------- 5 775 191 705 844 844 37.3 Middlesex County, NJ 65 ------------------- 5 695 848 711 540 692 37.6 Norfolk County, MA 66 --------------------- 5 635 731 717 176 423 37.8 Oklahoma County, OK 67 ------------------ 5 628 164 722 804 587 38.1 Monroe County, NY 68 --------------------- 5 607 577 728 412 164 38.4

Multnomah County, OR 69 ----------------- 5 455 745 733 867 909 38.7

Mecklenburg County, NC 70 ---------------- 5 344 446 739 212 355 39.0

Bucks County, PA 71 ---------------------- 5 326 874 744 539 229 39.3

Lake County, IL 72 ------------------------ 5 293 964 749 833 193 39.6

Worcester County, MA 73 ------------------ 5 290 459 755 123 652 39.9

Pima County, AZ 74 ----------------------- 5 288 010 760 411 662 40.1 Ventura County, CA 75 --------------------- 5 227 828 765 639 490 40.4 Tulsa County, OK 76 ----------------------- 5 101 758 770 741 248 40.7 Jackson County, MO 77 -------------------- 5 047 739 775 788 987 40.9 DeKalb County, GA 78 --------------------- 5 036 353 780 825 340 41.2

Monmouth County, NJ 79 ------------------ 4 968 577 785 793 917 41.5

Essex County, MA 80 ---------------------- 4 929 222 790 723 139 41.7

Arapahoe County, CO 81 ------------------- 4 847 391 795 570 530 42.0

Suffolk County, MA 82 --------------------- 4 745 758 800 316 288 42.2

Cobb County, GA 83 ----------------------- 4 652 706 804 968 994 42.5

Fresno County, CA 84 --------------------- 4 626 742 809 595 736 42.7

Montgomery County, OH 85 ---------------- 4 598 353 814 194 089 43.0

Bernalillo County, NM 86 ------------------- 4 589 252 818 783 341 43.2

Kent County, MI 87 ------------------------ 4 517 123 823 300 464 43.4

Pierce County, WA 88 --------------------- 4 507 545 827 808 009 43.7

Essex County, NJ 89 ---------------------- 4 488 629 832 296 638 43.9

Jefferson Parish, LA 90 -------------------- 4 417 416 836 714 054 44.2

Morris County, NJ 91 ---------------------- 4 406 077 841 120 131 44.4

Delaware County, PA 92 ------------------- 4 301 976 845 422 107 44.6

El Paso County, TX 93 --------------------- 4 285 430 849 707 537 44.8

Ramsey County, MN 94 -------------------- 4 272 843 853 980 380 45.1 New Castle County, DE 95 ----------------- 4 272 500 858 252 880 45.3 Wake County, NC 96 ---------------------- 4 194 647 862 447 527 45.5 Summit County, OH 97 --------------------- 4 060 669 866 508 196 45.7 Bristol County, MA 98 ---------------------- 3 984 238 870 492 434 45.9

Snohomish County, WA 99 ----------------- 3 932 023 874 424 457 46.1

Brevard County, FL 100 --------------------- 3 915 909 878 340 366 46.4

Johnson County, KS 101 -------------------- 3 898 096 882 238 462 46.6

Lucas County, OH 102 ---------------------- 3 894 274 886 132 736 46.8

Douglas County, NE 103 -------------------- 3 878 393 890 011 129 47.0

Passaic County, NJ 104 --------------------- 3 860 666 893 871 795 47.2

Denver County, CO 105 --------------------- 3 822 903 897 694 698 47.4

Onondaga County, NY 106 ------------------ 3 814 020 901 508 718 47.6

Anne Arundel County, MD 107 --------------- 3 791 555 905 300 273 47.8

Jefferson County, CO 108 ------------------- 3 758 576 909 058 849 48.0

Chester County, PA 109 --------------------- 3 751 676 912 810 525 48.2 Plymouth County, MA 110 ------------------- 3 739 083 916 549 608 48.4 Sedgwick County, KS 111 ------------------- 3 661 203 920 210 811 48.6

Union County, NJ 112 ----------------------- 3 641 430 923 852 241 48.8

Knox County, TN 113 ----------------------- 3 616 645 927 468 886 48.9

Dane County, WI 114 ----------------------- 3 595 557 931 064 443 49.1

District of Columbia, DC 115 ----------------- 3 586 625 934 651 068 49.3

Lake County, IN 116 ------------------------ 3 554 176 938 205 244 49.5

Genesee County, MI 117 -------------------- 3 545 014 941 750 258 49.7

Gwinnett County, GA 118 ------------------- 3 540 584 945 290 842 49.9

Pulaski County, AR 119 --------------------- 3 535 842 948 826 684 50.1 Guilford County, NC 120 -------------------- 3 531 219 952 357 903 50.3 Camden County, NJ 121 -------------------- 3 525 340 955 883 243 50.4 Washington County, OR 122 ----------------- 3 489 618 959 372 861 50.6 Kern County, CA 123 ----------------------- 3 472 405 962 845 266 50.8

El Paso County, CO 124 -------------------- 3 447 400 966 292 666 51.0

Hampden County, MA 125 ------------------- 3 424 167 969 716 833 51.2 Polk County, IA 126 ------------------------- 3 402 161 973 118 994 51.4 Hillsborough County, NH 127 ---------------- 3 394 922 976 513 916 51.5 Lee County, FL 128 ------------------------- 3 393 129 979 907 045 51.7

Geographic area

Cumulative

Rank

Sales

($1,000)

Sales

($1,000)

Percent

of

U.S.

total

United StatesmCon.

Providence County, RI 129 ------------------ 3 382 941 983 289 986 51.9

Ocean County, NJ 130 ---------------------- 3 361 946 986 651 932 52.1

Sonoma County, CA 131 -------------------- 3 355 247 990 007 179 52.2

Hudson County, NJ 132 --------------------- 3 333 988 993 341 167 52.4

Burlington County, NJ 133 ------------------- 3 300 462 996 641 629 52.6

East Baton Rouge Parish, LA 134 ------------ 3 284 802 999 926 431 52.8

Lancaster County, PA 135 ------------------- 3 273 862 1 003 200 293 52.9

Spokane County, WA 136 ------------------- 3 233 950 1 006 434 243 53.1

Baltimore city, MD (IC) 137 ------------------ 3 179 045 1 009 613 288 53.3

Waukesha County, WI 138 ------------------ 3 092 112 1 012 705 400 53.4

Volusia County, FL 139 --------------------- 3 048 473 1 015 753 873 53.6 Polk County, FL 140 ------------------------ 3 047 387 1 018 801 260 53.8 Albany County, NY 141 --------------------- 3 045 916 1 021 847 176 53.9 Bronx County, NY 142 ---------------------- 3 015 706 1 024 862 882 54.1 San Joaquin County, CA 143 ---------------- 2 988 142 1 027 851 024 54.2

York County, PA 144 ------------------------ 2 981 943 1 030 832 967 54.4

Cumberland County, ME 145 ---------------- 2 944 561 1 033 777 528 54.6

Virginia Beach city, VA (IC) 146 -------------- 2 938 579 1 036 716 107 54.7

Greenville County, SC 147 ------------------- 2 923 311 1 039 639 418 54.9

Sarasota County, FL 148 -------------------- 2 921 187 1 042 560 605 55.0

Orleans Parish, LA 149 ---------------------- 2 914 321 1 045 474 926 55.2

Charleston County, SC 150 ------------------ 2 901 032 1 048 375 958 55.3

Stark County, OH 151 ----------------------- 2 897 291 1 051 273 249 55.5

Rockingham County, NH 152 ---------------- 2 861 991 1 054 135 240 55.6

Washtenaw County, MI 153 ------------------ 2 857 974 1 056 993 214 55.8

Stanislaus County, CA 154 ------------------ 2 852 605 1 059 845 819 55.9 Mobile County, AL 155 ---------------------- 2 785 489 1 062 631 308 56.1 Hidalgo County, TX 156 --------------------- 2 779 373 1 065 410 681 56.2 Santa Barbara County, CA 157 --------------- 2 732 297 1 068 142 978 56.4 Berks County, PA 158 ----------------------- 2 730 932 1 070 873 910 56.5

Seminole County, FL 159 -------------------- 2 725 323 1 073 599 233 56.7

Forsyth County, NC 160 --------------------- 2 704 336 1 076 303 569 56.8

Washoe County, NV 161 -------------------- 2 700 592 1 079 004 161 56.9

Lehigh County, PA 162 ---------------------- 2 697 634 1 081 701 795 57.1

Mercer County, NJ 163 ---------------------- 2 657 944 1 084 359 739 57.2

Dakota County, MN 164 --------------------- 2 656 079 1 087 015 818 57.4 Allen County, IN 165 ------------------------ 2 648 897 1 089 664 715 57.5 Hamilton County, TN 166 -------------------- 2 636 612 1 092 301 327 57.6 Kane County, IL 167 ------------------------ 2 619 145 1 094 920 472 57.8 Anchorage Borough, AK 168 ----------------- 2 572 741 1 097 493 213 57.9

Monterey County, CA 169 ------------------- 2 518 649 1 100 011 862 58.1

Ingham County, MI 170 --------------------- 2 482 821 1 102 494 683 58.2

Solano County, CA 171 --------------------- 2 465 968 1 104 960 651 58.3

Lane County, OR 172 ----------------------- 2 458 659 1 107 419 310 58.4

Fayette County, KY 173 --------------------- 2 457 373 1 109 876 683 58.6

Richland County, SC 174 -------------------- 2 452 804 1 112 329 487 58.7

Clackamas County, OR 175 ----------------- 2 448 038 1 114 777 525 58.8

Somerset County, NJ 176 ------------------- 2 443 642 1 117 221 167 59.0

Westmoreland County, PA 177 --------------- 2 424 364 1 119 645 531 59.1

Orange County, NY 178 --------------------- 2 420 490 1 122 066 021 59.2

Greene County, MO 179 -------------------- 2 416 588 1 124 482 609 59.3

Marin County, CA 180 ----------------------- 2 406 958 1 126 889 567 59.5

Luzerne County, PA 181 -------------------- 2 345 715 1 129 235 282 59.6

Nueces County, TX 182 --------------------- 2 316 038 1 131 551 320 59.7

Collin County, TX 183 ----------------------- 2 297 347 1 133 848 667 59.8

Escambia County, FL 184 ------------------- 2 272 972 1 136 121 639 60.0 Hinds County, MS 185 ---------------------- 2 161 254 1 138 282 893 60.1 Barnstable County, MA 186 ------------------ 2 147 200 1 140 430 093 60.2 Boulder County, CO 187 -------------------- 2 144 042 1 142 574 135 60.3 Will County, IL 188 ------------------------- 2 140 127 1 144 714 262 60.4

St. Louis city, MO (IC) 189 ------------------ 2 129 357 1 146 843 619 60.5

Richmond city, VA (IC) 190 ------------------ 2 077 673 1 148 921 292 60.6

Erie County, PA 191 ------------------------ 2 070 884 1 150 992 176 60.7

Adams County, CO 192 --------------------- 2 055 684 1 153 047 860 60.9

Winnebago County, IL 193 ------------------- 2 048 892 1 155 096 752 61.0

St. Joseph County, IN 194 ------------------- 2 043 641 1 157 140 393 61.1

Cumberland County, PA 195 ----------------- 2 040 186 1 159 180 579 61.2

Atlantic County, NJ 196 --------------------- 2 035 024 1 161 215 603 61.3

Jefferson County, TX 197 ------------------- 2 033 988 1 163 249 591 61.4

Ada County, ID 198 ------------------------- 2 029 914 1 165 279 505 61.5

Madison County, AL 199 -------------------- 2 023 742 1 167 303 247 61.6 Lake County, OH 200 ----------------------- 2 022 986 1 169 326 233 61.7 Mahoning County, OH 201 ------------------ 2 015 300 1 171 341 533 61.8

Clayton County, GA 202 --------------------- 2 012 311 1 173 353 844 61.9

Dauphin County, PA 203 -------------------- 1 990 833 1 175 344 677 62.0

Lubbock County, TX 204 -------------------- 1 977 926 1 177 322 603 62.1

Gloucester County, NJ 205 ------------------ 1 964 940 1 179 287 543 62.2

Dutchess County, NY 206 ------------------- 1 960 521 1 181 248 064 62.3

Cumberland County, NC 207 ----------------- 1 950 465 1 183 198 529 62.4

Chatham County, GA 208 ------------------- 1 927 367 1 185 125 896 62.5

Caddo Parish, LA 209 ----------------------- 1 926 480 1 187 052 376 62.6 Kalamazoo County, MI 210 ------------------ 1 924 253 1 188 976 629 62.7 Kanawha County, WV 211 ------------------- 1 918 428 1 190 895 057 62.8 Saginaw County, MI 212 -------------------- 1 917 128 1 192 812 185 62.9 New London County, CT 213 ---------------- 1 906 212 1 194 718 397 63.0

Montgomery County, AL 214 ----------------- 1 888 804 1 196 607 201 63.1

Anoka County, MN 215 --------------------- 1 877 192 1 198 484 393 63.2 Marion County, OR 216 --------------------- 1 869 301 1 200 353 694 63.3 Rockland County, NY 217 ------------------- 1 851 435 1 202 205 129 63.4 Tulare County, CA 218 ---------------------- 1 821 980 1 204 027 109 63.5

US–106nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 97

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 7. 250 Largest Counties Ranked by Volume of Sales: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For information on geographic areas followed by ó, see appendix F]

Geographic area

Cumulative

Rank

Sales

($1,000)

Sales

($1,000)

Percent

of

U.S.

total

United StatesmCon.

Lorain County, OH 219 ---------------------- 1 815 169 1 205 842 278 63.6

Richmond County, NY 220 ------------------ 1 814 886 1 207 657 164 63.7

Santa Cruz County, CA 221 ------------------ 1 813 429 1 209 470 593 63.8

Brown County, WI 222 ---------------------- 1 809 199 1 211 279 792 63.9

Norfolk city, VA (IC) 223 -------------------- 1 785 366 1 213 065 158 64.0

Collier County, FL 224 ---------------------- 1 783 047 1 214 848 205 64.1 Placer County, CA 225 ---------------------- 1 768 017 1 216 616 222 64.2 Pasco County, FL 226 ---------------------- 1 762 857 1 218 379 079 64.3 Lancaster County, NE 227 ------------------- 1 750 650 1 220 129 729 64.4 Horry County, SC 228 ----------------------- 1 748 511 1 221 878 240 64.5

Cameron County, TX 229 -------------------- 1 725 414 1 223 603 654 64.6

Stearns County, MN 230 -------------------- 1 723 068 1 225 326 722 64.7

Leon County, FL 231 ----------------------- 1 721 972 1 227 048 694 64.8

Denton County, TX 232 --------------------- 1 716 473 1 228 765 167 64.8

St. Clair County, IL 233 --------------------- 1 714 935 1 230 480 102 64.9

Geographic area

Cumulative

Rank

Sales

($1,000)

Sales

($1,000)

Percent

of

U.S.

total

United StatesmCon.

Prince William County, VA 234 --------------- 1 702 673 1 232 182 775 65.0

Vanderburgh County, IN 235 ----------------- 1 688 579 1 233 871 354 65.1

Oneida County, NY 236 --------------------- 1 686 021 1 235 557 375 65.2

Kent County, RI 237 ------------------------ 1 676 713 1 237 234 088 65.3

Chesterfield County, VA 238 ----------------- 1 667 222 1 238 901 310 65.4

Richmond County, GA 239 ------------------ 1 666 206 1 240 567 516 65.5

Vigo County, IN 240 ------------------------ 1 656 620 1 242 224 136 65.6

Henrico County, VA 241 --------------------- 1 651 784 1 243 875 920 65.6

Madison County, IL 242 --------------------- 1 650 664 1 245 526 584 65.7

St. Charles County, MO 243 ----------------- 1 636 344 1 247 162 928 65.8

Lafayette Parish, LA 244 -------------------- 1 624 427 1 248 787 355 65.9

Spartanburg County, SC 245 ----------------- 1 621 894 1 250 409 249 66.0

Larimer County, CO 246 --------------------- 1 617 604 1 252 026 853 66.1

Sangamon County, IL 247 ------------------- 1 615 146 1 253 641 999 66.2

Niagara County, NY 248 --------------------- 1 602 544 1 255 244 543 66.2

Broome County, NY 249 -------------------- 1 592 778 1 256 837 321 66.3

Clay County, MO 250 ----------------------- 1 583 344 1 258 420 665 66.4

Table 8. 250 Largest Places Ranked by Volume of Sales: 1992

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For information on geographic areas followed by ó, see appendix F]

Geographic area

Cumulative

Rank

Sales

($1,000)

Sales

($1,000)

Percent

of

U.S.

total

United States (X) ----------------- 1 894 880 209 1 894 880 209 100.0

New York, NY ó ----------------------- 1 36 526 861 36 526 861 1.9

Los Angeles, CA 2 ----------------------- 22 649 687 59 176 548 3.1

Houston, TX ó ------------------------- 3 17 849 541 77 026 089 4.1

Chicago, IL ó -------------------------- 4 14 405 312 91 431 401 4.8

Dallas, TX ó --------------------------- 5 9 552 089 100 983 490 5.3

San Diego, CA 6 ------------------------- 8 571 220 109 554 710 5.8

Phoenix, AZ 7 ---------------------------- 8 249 314 117 804 024 6.2

Indianapolis city, IN ó------------------- 8 7 963 504 125 767 528 6.6

Philadelphia, PA 9 ------------------------ 7 944 746 133 712 274 7.1 San Antonio, TX 10 ------------------------ 7 690 003 141 402 277 7.5

Columbus, OH ó ----------------------- 11 6 852 226 148 254 503 7.8 San Francisco, CA 12 ---------------------- 6 379 072 154 633 575 8.2 Honolulu, HI 13 --------------------------- 5 983 036 160 616 611 8.5 Austin, TX ó --------------------------- 14 5 725 818 166 342 429 8.8 Jacksonville city, FL ó ------------------ 15 5 713 827 172 056 256 9.1

Nashville-Davidson, TN ó --------------- 16 5 663 985 177 720 241 9.4 San Jose, CA 17 -------------------------- 5 409 368 183 129 609 9.7 Memphis, TN 18 -------------------------- 5 408 285 188 537 894 9.9 Seattle, WA 19 ---------------------------- 5 004 226 193 542 120 10.2 Charlotte, NC 20 -------------------------- 4 563 281 198 105 401 10.5

Portland, OR ó------------------------- 21 4 464 439 202 569 840 10.7 Albuquerque, NM 22 ----------------------- 4 337 998 206 907 838 10.9 Tucson, AZ 23 ---------------------------- 4 258 311 211 166 149 11.1 Boston, MA 24 ---------------------------- 4 180 888 215 347 037 11.4 El Paso, TX 25 ---------------------------- 4 144 911 219 491 948 11.6

Tulsa, OK ó --------------------------- 26 4 005 321 223 497 269 11.8

Oklahoma City, OK ó ------------------- 27 3 982 423 227 479 692 12.0

Miami, FL 28 ------------------------------ 3 925 917 231 405 609 12.2

Hempstead town balance, NY ó --------- 29 3 891 210 235 296 819 12.4

Denver, CO 30 ---------------------------- 3 822 903 239 119 722 12.6

Kansas City, MO ó --------------------- 31 3 685 097 242 804 819 12.8

Omaha, NE 32 ---------------------------- 3 669 070 246 473 889 13.0

Fort Worth, TX ó ----------------------- 33 3 659 968 250 133 857 13.2

Washington, DC 34 ------------------------ 3 586 625 253 720 482 13.4

Tampa, FL 35 ----------------------------- 3 557 649 257 278 131 13.6

Milwaukee, WI ó ----------------------- 36 3 347 618 260 625 749 13.8 Wichita, KS 37 ---------------------------- 3 346 942 263 972 691 13.9 Atlanta, GA ó -------------------------- 38 3 259 139 267 231 830 14.1

Colorado Springs, CO 39 ------------------- 3 202 779 270 434 609 14.3

Baltimore, MD (IC) 40 ---------------------- 3 179 045 273 613 654 14.4

Detroit, MI 41 ----------------------------- 3 096 170 276 709 824 14.6 Fresno, CA 42 ---------------------------- 3 066 276 279 776 100 14.8 Fort Lauderdale, FL 43 --------------------- 2 951 779 282 727 879 14.9 Virginia Beach, VA (IC) 44 ------------------ 2 938 579 285 666 458 15.1 New Orleans, LA 45 ----------------------- 2 914 321 288 580 779 15.2

Arlington, TX 46 --------------------------- 2 908 679 291 489 458 15.4

St. Petersburg, FL 47 ---------------------- 2 853 021 294 342 479 15.5

Las Vegas, NV 48 ------------------------- 2 800 876 297 143 355 15.7

Knoxville, TN 49 --------------------------- 2 792 915 299 936 270 15.8

Sacramento, CA 50 ------------------------ 2 770 594 302 706 864 16.0

Cincinnati, OH 51 -------------------------- 2 763 950 305 470 814 16.1

Raleigh, NC 52 ---------------------------- 2 705 054 308 175 868 16.3 Pittsburgh, PA 53 -------------------------- 2 697 367 310 873 235 16.4 Mesa, AZ 54 ------------------------------ 2 690 908 313 564 143 16.5 Baton Rouge, LA 55 ----------------------- 2 659 517 316 223 660 16.7

Geographic area

Cumulative

Rank

Sales

($1,000)

Sales

($1,000)

Percent

of

U.S.

total

United StatesmCon.

Anchorage, AK 56 ------------------------- 2 572 741 318 796 401 16.8

Oyster Bay town balance, NY ó --------- 57 2 540 394 321 336 795 17.0

Lexington-Fayette, KY 58 ------------------- 2 457 373 323 794 168 17.1

Minneapolis, MN 59 ----------------------- 2 447 592 326 241 760 17.2

Birmingham, AL ó ---------------------- 60 2 439 451 328 681 211 17.3

Greensboro, NC 61 ------------------------ 2 405 010 331 086 221 17.5

Torrance, CA 62 -------------------------- 2 379 287 333 465 508 17.6

Toledo, OH 63 ---------------------------- 2 359 727 335 825 235 17.7

Orlando, FL 64 ---------------------------- 2 301 427 338 126 662 17.8 Cleveland, OH 65 ------------------------- 2 255 577 340 382 239 18.0

Madison, WI 66 --------------------------- 2 254 036 342 636 275 18.1 Springfield, MO ó ---------------------- 67 2 215 405 344 851 680 18.2 Fort Wayne, IN 68 ------------------------- 2 204 355 347 056 035 18.3 Corpus Christi, TX ó -------------------- 69 2 196 565 349 252 600 18.4 Salt Lake City, UT 70 ---------------------- 2 195 602 351 448 202 18.5

Aurora, CO ó -------------------------- 71 2 177 789 353 625 991 18.7 Chattanooga, TN 72 ----------------------- 2 174 646 355 800 637 18.8 Long Beach, CA 73 ------------------------ 2 167 453 357 968 090 18.9 Mobile, AL 74 ----------------------------- 2 161 388 360 129 478 19.0 Irving, TX 75 ------------------------------ 2 148 701 362 278 179 19.1

Winston-Salem, NC 76 --------------------- 2 133 379 364 411 558 19.2 St. Louis, MO (IC) 77 ---------------------- 2 129 357 366 540 915 19.3 Scottsdale, AZ 78 ------------------------- 2 114 953 368 655 868 19.5 Richmond, VA (IC) 79 ---------------------- 2 077 673 370 733 541 19.6 Little Rock, AR 80 ------------------------- 2 065 010 372 798 551 19.7

Islip town balance, NY ó ---------------- 81 2 037 425 374 835 976 19.8

North Hempstead town balance, NY ó --- 82 1 998 488 376 834 464 19.9

Jackson, MS ó------------------------- 83 1 995 020 378 829 484 20.0

Reno, NV 84 ------------------------------ 1 990 282 380 819 766 20.1

Oakland, CA 85 --------------------------- 1 988 294 382 808 060 20.2

Spokane, WA 86 -------------------------- 1 987 835 384 795 895 20.3

Riverside, CA 87 -------------------------- 1 981 752 386 777 647 20.4

Des Moines, IA 88 ------------------------- 1 980 148 388 757 795 20.5

Santa Ana, CA 89 ------------------------- 1 977 737 390 735 532 20.6

Louisville, KY 90 -------------------------- 1 965 287 392 700 819 20.7

Brookhaven town balance, NY ó--------- 91 1 953 152 394 653 971 20.8 Tacoma, WA 92 --------------------------- 1 944 608 396 598 579 20.9 Paramus, NJ 93 --------------------------- 1 926 030 398 524 609 21.0

Costa Mesa, CA 94 ------------------------ 1 886 220 400 410 829 21.1

Lubbock, TX 95 --------------------------- 1 859 542 402 270 371 21.2

Bakersfield, CA 96 ------------------------- 1 854 741 404 125 112 21.3 Montgomery, AL 97 ------------------------ 1 841 543 405 966 655 21.4 Schaumburg, IL ó ---------------------- 98 1 839 150 407 805 805 21.5 Huntsville, AL ó ------------------------ 99 1 818 498 409 624 303 21.6 Shreveport, LA ó----------------------- 100 1 811 244 411 435 547 21.7

Anaheim, CA 101 --------------------------- 1 811 021 413 246 568 21.8

Norfolk, VA (IC) 102 ------------------------ 1 785 366 415 031 934 21.9

Santa Rosa, CA 103 ------------------------ 1 773 387 416 805 321 22.0

Bellevue, WA 104 -------------------------- 1 763 347 418 568 668 22.1

Modesto, CA 105 --------------------------- 1 736 491 420 305 159 22.2

Plano, TX ó --------------------------- 106 1 714 629 422 019 788 22.3

St. Paul, MN 107 --------------------------- 1 711 838 423 731 626 22.4 Lincoln, NE 108 ---------------------------- 1 698 119 425 429 745 22.5 Akron, OH 109 ----------------------------- 1 697 000 427 126 745 22.5 Boise City, ID 110 -------------------------- 1 679 837 428 806 582 22.6

RETAIL TRADEmGEOGRAPHIC AREA SERIES UNITED STATESnnUS–107
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 98

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Table 8. 250 Largest Places Ranked by Volume of Sales: 1992 mCon.

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A. For information on geographic areas followed by ó, see appendix F]

Geographic area

Cumulative

Rank

Sales

($1,000)

Sales

($1,000)

Percent

of

U.S.

total

United StatesmCon.

Santa Clara, CA 111 ------------------------ 1 679 074 430 485 656 22.7

Evansville, IN 112 -------------------------- 1 642 706 432 128 362 22.8

Amarillo, TX ó ------------------------- 113 1 631 409 433 759 771 22.9

Overland Park, KS 114 ---------------------- 1 627 097 435 386 868 23.0

San Bernardino, CA 115 --------------------- 1 620 339 437 007 207 23.1

Stockton, CA 116 --------------------------- 1 597 561 438 604 768 23.1

Tempe, AZ 117 ---------------------------- 1 587 063 440 191 831 23.2

Worcester, MA 118 ------------------------- 1 586 538 441 778 369 23.3

Columbus city, GA ó-------------------- 119 1 565 441 443 343 810 23.4

Pasadena, CA 120 -------------------------- 1 565 215 444 909 025 23.5

Laredo, TX 121 ----------------------------- 1 563 060 446 472 085 23.6

Southfield, MI 122 -------------------------- 1 550 556 448 022 641 23.6

Grand Rapids, MI 123 ----------------------- 1 534 136 449 556 777 23.7

Huntington town balance, NY ó---------- 124 1 531 356 451 088 133 23.8

Glendale, CA 125 --------------------------- 1 515 920 452 604 053 23.9

Escondido, CA 126 ------------------------- 1 515 742 454 119 795 24.0

McAllen, TX 127 ---------------------------- 1 512 347 455 632 142 24.0

Savannah, GA 128 ------------------------- 1 510 365 457 142 507 24.1

Eugene, OR 129 --------------------------- 1 478 923 458 621 430 24.2

Huntington Beach, CA 130 ------------------ 1 440 904 460 062 334 24.3

Smithtown town, NY 131 -------------------- 1 440 572 461 502 906 24.4 Greenville, SC 132 -------------------------- 1 440 181 462 943 087 24.4 Fort Myers, FL 133 ------------------------- 1 439 531 464 382 618 24.5 Tallahassee, FL 134 ------------------------ 1 437 953 465 820 571 24.6 Lafayette, LA 135 -------------------------- 1 435 922 467 256 493 24.7

Santa Monica, CA 136 ---------------------- 1 433 172 468 689 665 24.7

Buffalo, NY 137 ---------------------------- 1 429 837 470 119 502 24.8

Terre Haute, IN 138 ------------------------ 1 423 911 471 543 413 24.9

Dearborn, MI 139 --------------------------- 1 421 269 472 964 682 25.0

Bloomington, MN 140 ----------------------- 1 418 868 474 383 550 25.0

Concord, CA 141 --------------------------- 1 416 555 475 800 105 25.1

Rockford, IL 142 --------------------------- 1 414 015 477 214 120 25.2

West Chester, PA 143 ---------------------- 1 409 859 478 623 979 25.3

Warren, MI 144 ----------------------------- 1 403 704 480 027 683 25.3

Hollywood, FL 145 -------------------------- 1 399 047 481 426 730 25.4

Cerritos, CA 146 ---------------------------- 1 396 898 482 823 628 25.5 Delray Beach, FL 147 ----------------------- 1 393 085 484 216 713 25.6 Norwalk, CT 148 --------------------------- 1 379 026 485 595 739 25.6 Macon, GA ó -------------------------- 149 1 376 179 486 971 918 25.7 Springfield, IL 150 -------------------------- 1 375 752 488 347 670 25.8

West Palm Beach, FL 151 ------------------- 1 362 903 489 710 573 25.8 Alexandria, VA (IC) 152 --------------------- 1 361 154 491 071 727 25.9 Sterling Heights, MI 153 --------------------- 1 352 509 492 424 236 26.0 Thousand Oaks, CA 154 -------------------- 1 347 195 493 771 431 26.1 Nashua, NH 155 ---------------------------- 1 346 613 495 118 044 26.1

Roanoke, VA (IC) 156 ----------------------- 1 336 819 496 454 863 26.2

Hampton, VA (IC) 157 ----------------------- 1 333 081 497 787 944 26.3

Amherst town balance, NY ó ------------ 158 1 332 150 499 120 094 26.3

Yonkers, NY 159 --------------------------- 1 330 433 500 450 527 26.4

Hialeah, FL 160 ---------------------------- 1 330 056 501 780 583 26.5

Salem, OR ó -------------------------- 161 1 329 144 503 109 727 26.6

Wayne township, NJ 162 -------------------- 1 323 192 504 432 919 26.6

St. Cloud, MN ó------------------------ 163 1 322 953 505 755 872 26.7

Topeka, KS 164 ---------------------------- 1 317 247 507 073 119 26.8

Lakewood, CO 165 ------------------------- 1 312 217 508 385 336 26.8

Sunnyvale, CA 166 ------------------------- 1 310 292 509 695 628 26.9 Jersey City, NJ 167 ------------------------- 1 308 030 511 003 658 27.0 Beaumont, TX 168 -------------------------- 1 305 948 512 309 606 27.0 Columbia, SC ó ------------------------ 169 1 299 030 513 608 636 27.1 Woodbridge township, NJ 170 --------------- 1 290 379 514 899 015 27.2

Lakeland, FL 171 --------------------------- 1 289 817 516 188 832 27.2

Sioux Falls, SD ó ---------------------- 172 1 288 493 517 477 325 27.3

El Cajon, CA 173 --------------------------- 1 283 050 518 760 375 27.4

Livonia, MI 174 ----------------------------- 1 282 253 520 042 628 27.4

Cedar Rapids, IA 175 ----------------------- 1 272 496 521 315 124 27.5

Geographic area

Cumulative

Rank

Sales

($1,000)

Sales

($1,000)

Percent

of

U.S.

total

United StatesmCon.

Troy, MI 176 ------------------------------- 1 270 104 522 585 228 27.6

Garland, TX ó ------------------------- 177 1 267 212 523 852 440 27.6

Orange, CA 178 ---------------------------- 1 264 160 525 116 600 27.7

Babylon town balance, NY ó ------------ 179 1 260 918 526 377 518 27.8

Peoria, IL 180 ------------------------------ 1 257 654 527 635 172 27.8

Durham, NC ó ------------------------- 181 1 256 989 528 892 161 27.9

Fayetteville, NC 182 ------------------------ 1 253 965 530 146 126 28.0

Boulder, CO 183 --------------------------- 1 252 043 531 398 169 28.0

Edison township, NJ 184 -------------------- 1 251 581 532 649 750 28.1

Lynnwood, WA 185 ------------------------- 1 251 486 533 901 236 28.2

Mesquite, TX 186 --------------------------- 1 251 393 535 152 629 28.2

Warwick, RI 187 ---------------------------- 1 247 595 536 400 224 28.3

Glendale, AZ 188 --------------------------- 1 241 245 537 641 469 28.4

Stamford, CT 189 -------------------------- 1 228 170 538 869 639 28.4

Dover, NJ (Ocean County) 190 --------------- 1 226 570 540 096 209 28.5

Tyler, TX 191 ------------------------------ 1 209 458 541 305 667 28.6

Daytona Beach, FL 192 --------------------- 1 207 842 542 513 509 28.6

Chesapeake, VA (IC) 193 -------------------- 1 203 316 543 716 825 28.7

Clearwater, FL 194 ------------------------- 1 202 607 544 919 432 28.8

Fremont, CA 195 --------------------------- 1 202 192 546 121 624 28.8

Ann Arbor, MI 196 -------------------------- 1 201 196 547 322 820 28.9

Irvine, CA 197 ------------------------------ 1 188 868 548 511 688 28.9

Arlington Heights, IL 198 -------------------- 1 184 683 549 696 371 29.0

Asheville, NC 199 -------------------------- 1 183 306 550 879 677 29.1

Chula Vista, CA 200 ------------------------ 1 183 049 552 062 726 29.1

Gaithersburg, MD 201 ----------------------- 1 177 895 553 240 621 29.2

Beverly Hills, CA 202 ----------------------- 1 171 339 554 411 960 29.3

Palo Alto, CA 203 -------------------------- 1 169 634 555 581 594 29.3

Newport News, VA (IC) 204 ----------------- 1 169 362 556 750 956 29.4

Charleston, SC ó----------------------- 205 1 158 899 557 909 855 29.4

Lansing, MI ó -------------------------- 206 1 158 570 559 068 425 29.5

Municipality of Monroeville, PA ó--------- 207 1 146 879 560 215 304 29.6

Marietta, GA 208 --------------------------- 1 143 763 561 359 067 29.6

Colonie town balance, NY ó------------- 209 1 132 797 562 491 864 29.7

Cherry Hill township, NJ 210 ----------------- 1 131 658 563 623 522 29.7

Boca Raton, FL 211 ------------------------ 1 131 511 564 755 033 29.8

Syracuse, NY 212 -------------------------- 1 130 058 565 885 091 29.9

Ontario, CA 213 ---------------------------- 1 123 923 567 009 014 29.9

Hayward, CA 214 --------------------------- 1 121 426 568 130 440 30.0

Springfield, MA 215 ------------------------- 1 115 412 569 245 852 30.0

Richardson, TX ó ---------------------- 216 1 112 846 570 358 698 30.1

Green Bay, WI 217 ------------------------- 1 112 566 571 471 264 30.2

Billings, MT 218 ---------------------------- 1 106 337 572 577 601 30.2

Naperville, IL ó ------------------------ 219 1 095 930 573 673 531 30.3

Rochester, NY 220 ------------------------- 1 095 051 574 768 582 30.3

Beaverton, OR 221 ------------------------- 1 088 189 575 856 771 30.4

Davenport, IA 222 -------------------------- 1 086 144 576 942 915 30.4

Niles, IL 223 ------------------------------- 1 083 024 578 025 939 30.5

Ocala, FL 224 ------------------------------ 1 079 020 579 104 959 30.6

Fullerton, CA 225 --------------------------- 1 077 537 580 182 496 30.6

Santa Fe, NM 226 -------------------------- 1 075 853 581 258 349 30.7

Danbury, CT 227 --------------------------- 1 069 450 582 327 799 30.7

San Buenaventura, CA (Ventura) 228 --------- 1 068 017 583 395 816 30.8

Fort Collins, CO 229 ------------------------ 1 064 633 584 460 449 30.8

Oxnard, CA 230 ---------------------------- 1 064 482 585 524 931 30.9

Rochester, MN 231 ------------------------- 1 058 365 586 583 296 31.0

Bellingham, WA 232 ------------------------ 1 050 441 587 633 737 31.0

Cambridge, MA 233 ------------------------- 1 046 486 588 680 223 31.1

Portland, ME 234 --------------------------- 1 038 746 589 718 969 31.1

Manchester, NH 235 ------------------------ 1 037 677 590 756 646 31.2

Fargo, ND 236 ----------------------------- 1 035 501 591 792 147 31.2

Plantation, FL 237 -------------------------- 1 033 546 592 825 693 31.3

Sarasota, FL 238 --------------------------- 1 020 760 593 846 453 31.3

Lynchburg, VA (IC) 239 --------------------- 1 019 092 594 865 545 31.4

Everett, WA 240 ---------------------------- 1 017 680 595 883 225 31.4

Wilmington, NC 241 ------------------------- 1 007 713 596 890 938 31.5

Manchester town, CT 242 ------------------- 1 005 107 597 896 045 31.6

Pompano Beach, FL 243 -------------------- 1 003 575 598 899 620 31.6

Santa Barbara, CA 244 ---------------------- 994 863 599 894 483 31.7

Waco, TX 245 ------------------------------ 992 872 600 887 355 31.7

Garden Grove, CA 246 ---------------------- 990 794 601 878 149 31.8

Salinas, CA 247 ---------------------------- 984 570 602 862 719 31.8

North Little Rock, AR 248 ------------------- 983 507 603 846 226 31.9

Englewood, CO 249 ------------------------ 981 203 604 827 429 31.9

Cheektowaga town balance, NY ó ------- 250 977 290 605 804 719 32.0

US–108nnUNITED STATES RETAIL TRADEmGEOGRAPHIC AREA SERIES
 JOBNAME: No Job Name PAGE: 1 SESS: 42 OUTPUT: Thu Sep 22 15:39:30 1994 /pssw01/disk2/economic/rc92a/0/14apdxa

Appendix A.

General Explanation

CENSUS COVERAGE AND METHODOLOGY

Structure and method of enumeration. Firms in the

1992 Census of Retail Trade were divided into the nonmail

universe and mail universe. The coverage and the method

of obtaining census information from each follow:

1. The nonmail universe consisted of firms which were

not required to file a regular census return and included:

a. All nonemployers, i.e., all firms with no paid employment during 1992. Sales information for these firms

was obtained from administrative records of other

Federal agencies. Although consisting of many

firms, nonemployers account for less than 5 percent of total retail sales.

The census included only those retail nonemployer firms which reported a sales volume of

$1,000 or more during 1992.

Data on nonemployers are provided in subsequent 1992 Census of Retail Trade reports; Nonemployer Statistics (RC92-N-1) and Selected Statistics (RC92-SP-1).

b. Selected small employers, i.e., single-establishment

firms with payroll below a specified cutoff. (The

term ‘‘employers’’ refers to all business firms with

one or more paid employees at any time during

1992 as shown in the active administrative records

of other Federal agencies.) Although the payroll

cutoff varied by kind of business, small employers

generally included firms with one to four employees

and represented about 10 percent of total retail

sales of establishments covered in the census.

Data on sales, payroll, and employment for employer

firms below the payroll cutoff were derived or

estimated from administrative records of other Federal agencies except for a sample of small employer

firms. This sample was included in the mail universe.

2. The mail universe consisted of firms for which information was obtained by means of a mail canvass and

included:

a. Large employers; i.e., all multiestablishment firms

and all employer firms above the payroll size cutoff

referred to in section 1b. Within this category, a

report of company organization was conducted

periodically to identify firms which operated establishments at more than one location and to obtain

information on payroll and mid-March employment

at each location. The 1991 Report of Company

Organization was used as a coverage check in the

census. In the 1992 census, all multiestablishment

firms were asked to notify the Census Bureau of

any establishments for which a form was not received.

Report forms were subsequently provided to the

firms for these establishments.

b. A sample of small employer firms referred to in

section 1b. These firms were sent the census

mailing packages containing the appropriate 1992

questionnaire. For the retail trade sector, the overall

sample of small employer firms was 20.6 percent

which varied by kind of business.

Method of classifying kinds of business. The retail

trade classifications for all establishments were based on

the Standard Industrial Classification Manual: 19871 (SIC).

However, the method of assigning these classifications,

and the level of detail at which establishments were

classified, differed between the nonmail and mail universe

as follows:

1. The nonmail universe.

a. Nonemployers were classified on the basis of information obtained from administrative records of other

Federal agencies.

b. Selected small employers were classified on the

basis of the most current census kind-of-business

classification available from one of the Census

Bureau’s current sample surveys or the 1987 census. Otherwise, the classification was obtained

from administrative records of other Federal agencies.

If the census or administrative record classifications proved inadequate (none corresponded to a

1992 census classification in the detail required for

employers), the firm was sent a brief inquiry requesting information necessary to assign a 1992 census

kind-of-business code.

1

Standard Industrial Classification Manual: 1987. For sale by Superintendent of Documents, U.S. Government Printing Office, Washington,

DC 20402. Stock No. 041-001-00314-2.

RETAIL TRADE—GEOGRAPHIC AREA SERIES APPENDIX A A–1
 JOBNAME: No Job Name PAGE: 2 SESS: 37 OUTPUT: Thu Sep 22 15:39:30 1994 /pssw01/disk2/economic/rc92a/0/14apdxa

2. Establishments in the mail universe were classified on

the basis of their self-designation, answers to questions on sales by merchandise line, and other special

inquiries.

COMPARABILITY OF THE 1987 AND 1992

CENSUSES

The 1987 and 1992 censuses were conducted under

similar conditions and procedures except for the following:

Geographic areas. The boundaries of a number of areas

for which data are shown in the 1992 census are not the

same as in the 1987 census because of annexations; other

boundary changes; and redefinitions of metropolitan statistical areas (MSA’s), primary metropolitan statistical areas

(PMSA’s), and consolidated metropolitan statistical areas

(CMSA’s).2 In addition, data for consolidated cities are

included in the 1992 census.

Data for special economic urban areas (SEUA’s) with

10,000 inhabitants or more in Michigan, Minnesota, New

York, and Wisconsin qualified for publication in the 1992

census. This included townships in Michigan and Minnesota and towns in New York and Wisconsin. However,

Minnesota did not have any townships that met the

publication criteria.

EXPLANATION OF TERMS

Establishments. An establishment is a single physical

location at which business is conducted. It is not necessarily identical with a company or enterprise, which may

consist of one establishment or more. Census of retail

trade figures represent a summary of reports for individual

establishments rather than companies. For cases where a

census report was received, separate information was

obtained for each location where business was conducted.

When administrative records of other Federal agencies

were used instead of a census report, no information was

available on the number of locations operated. Estimates

of this number were derived from a sample and are

provided in the retail trade report, Miscellaneous Subjects

(RC92-S-4). Each retail establishment was tabulated according to the physical location at which the business was

conducted. The count of establishments represents those

in business at any time during 1992. Appendix G provides

a comparison of the number of establishments active any

time during the year versus the number in business at the

end of the year.

When two activities or more were carried on at a single

location under a single ownership, all activities generally

were grouped together as a single establishment. The

entire establishment was classified on the basis of its

major activity and all data for it were included in that

classification. However, when distinct and separate economic activities (for which different industry classification

codes were appropriate) were conducted at a single

location under a single ownership, and when conditions

prescribed by the SIC manual for recognizing the existence

of more than one establishment were met, separate establishment reports for each of the different activities were

obtained in the census.

Leased departments are treated as separate establishments and are classified according to the kind of business

they conduct. For example, a leased department selling

shoes within a department store would be considered

a separate retail establishment under the ‘‘shoe store’’

classification.

Firms. A firm is a business organization or entity consisting

of one domestic establishment (location) or more under

common ownership or control. All establishments of subsidiary firms are included as part of the owning or controlling firm. For the economic census, the terms ‘‘firm’’ and

‘‘company’’ are synonymous.

Sales. Sales include merchandise sold for cash or credit at

retail and wholesale by establishments primarily engaged

in retail trade; amounts received from customers for

layaway purchases; receipts from rental or leasing of

vehicles, equipment, instruments, tools, etc.; receipts for

delivery, installation, maintenance, repair, alteration,

storage, and other services; the total value of service

contracts; and gasoline, liquor, tobacco, and other excise

taxes which are paid by the manufacturer or wholesaler

and passed on to the retailer.

Sales are net after deductions for refunds and allowances for merchandise returned by customers. Trade-in

allowances are not deducted from total sales. Total sales

do not include carrying or other credit charges; sales (or

other) taxes collected from customers and forwarded to

taxing authorities; commissions from vending machine

operators; sales and receipts of departments or concessions operated by other firms; commissions or receipts

from the sale of government lottery tickets; installment

payments from leasing of vehicles, equipment, instruments, tools, etc. marketed under capital, finance, or full

payout leases; and nonoperating income from such sources

as investments, rental or sale of real estate, etc.

Sales in this report do not include retail sales made by

manufacturers, wholesalers, service establishments, or

other businesses whose primary activity is other than retail

trade. They do include receipts other than from the sale of

merchandise at retail, e.g., service receipts, sales to industrial users, and sales to other retailers, by establishments

primarily engaged in retail trade.

Annual payroll. Payroll includes all forms of compensation such as salaries, wages, commissions, bonuses, vacation allowances, sick-leave pay, employee contributions to

qualified pension plans, and the value of payments in kind

(e.g., free meals and lodgings) paid during the year to all

2

Newly defined metropolitan areas (MA’s) were announced by the

Office of Management and Budget (OMB) effective June 30, 1993.

A–2 APPENDIX A RETAIL TRADE—GEOGRAPHIC AREA SERIES
 JOBNAME: No Job Name PAGE: 3 SESS: 37 OUTPUT: Thu Sep 22 15:39:30 1994 /pssw01/disk2/economic/rc92a/0/14apdxa

employees. Tips and gratuities received by employees

from patrons and reported to employers are included. For

corporations, payroll includes amounts paid to officers and

executives; for unincorporated businesses, it does not

include profit or other compensation of proprietors or

partners. Payroll is reported before deductions for social

security, income tax, insurance, union dues, etc. This

definition of payroll is the same as that used by the Internal

Revenue Service (IRS) on form 941.

First-quarter payroll. This item consists of payroll, as

defined above, paid to persons employed at any time

during the quarter January to March 1992.

Paid employees for pay period including March 12.

Paid employees consist of the full- and part-time employees, including salaried officers and executives of corporations, who were on the payroll during the pay period

including March 12. Included are employees on paid sick

leave, paid holidays, and paid vacations; not included are

proprietors and partners of unincorporated businesses.

The definition of paid employees is the same as that used

on IRS form 941.

Auxiliary establishments. Each company included in this

census was asked to identify and separately report auxiliary locations whose primary functions were to manage,

administer, service, or support the activities of the other

establishments of the company. Data presented in this

report do not include auxiliary establishments. Data for

auxiliaries are presented in a subsequent report issued as

part of the 1992 Enterprise Statistics reports.

KIND-OF-BUSINESS CLASSIFICATIONS

Retail trade, SIC major groups 52 through 59 in the SIC

manual, includes establishments primarily engaged in selling merchandise for personal or household consumption

and rendering services incidental to the sale of the goods.

Exceptions to this general rule are lumber yards; paint,

glass, and wallpaper stores; typewriter stores; stationery

stores; and gasoline service stations, which sell to both the

general public for personal and household consumption

and to businesses. These types of stores are included in

retail trade even if a higher proportion of their sales is

made to other than individuals for personal or household

consumption. However, such establishments that sell their

products only to institutional or industrial users and to other

wholesalers and establishments that sell similar merchandise for use exclusively by business establishments are

classified in wholesale trade.

Other important characteristics of retail trade establishments are that they are usually places of business; they

are engaged in activities to attract the general public to

buy; they buy or receive as well as sell merchandise; they

may process their products, although processing is incidental or subordinate to selling; and they are considered

as retail in the trade. Not all of these characteristics need

be present and some are modified by trade practice.

The retail trade industries were covered in the 1992

Economic and Agriculture Census. However, retail establishments of the following types were excluded from census coverage:

1. Federal, State, and local government agencies that

sold merchandise, other than liquor stores operated by

State and local governments

2. Officers’ clubs and officers’ open messes (classified

based on primary activity with a T/O code of 90); and

public school lunch programs except those which

operated on a fee or contract basis (classified based

on primary activity with a T/O code of 55)

The following types of retail establishments were covered in the census:

1. Appliance stores owned by public utilities if the establishments were primarily engaged in selling appliances

to customers

2. Liquor stores operated by State and local governments

Establishments covered by the census were assigned

kind-of-business classifications according to the industry

classifications defined in the 1987 SIC manual. When a

more detailed classification than defined in the SIC manual

was needed, additional kinds of business were identified

within a SIC industry.

In general, retail establishments were classified according to the principal lines of commodities sold (groceries,

hardware, etc.), or the usual trade designation (drug store,

cigar store, etc.).

Kind-of-business classifications are not interchangeable

with commodity classifications; most businesses sell several kinds of commodities. The kind-of-business code

generally reflects either the individual commodity or the

commodity group which is the primary source of the

establishment’s business. Thus, the classification of establishments by kind of business generally does not make it

possible to determine either the number of establishments

handling a particular commodity or the sales of that

commodity. For example, the food stores classification

excludes stores selling food if the sale of food is not the

primary source of receipts; moreover, even though stores

are classified as food stores, some of their receipts may be

derived from the sale of nonfood products. (Information on

the extent to which various broad groups of commodities

or merchandise lines are sold by different kinds of business is available in the 1992 Census of Retail Trade report,

Merchandise Line Sales, RC92-S-3.)

Building Materials and Garden Supplies Stores

(SIC Major Group 52)

This major group includes retail establishments primarily

engaged in selling lumber and other building materials;

paint, glass, and wallpaper; hardware; nursery stock; lawn

RETAIL TRADE—GEOGRAPHIC AREA SERIES APPENDIX A A–3
 JOBNAME: No Job Name PAGE: 4 SESS: 43 OUTPUT: Thu Sep 22 15:39:30 1994 /pssw01/disk2/economic/rc92a/0/14apdxa

and garden supplies; and manufactured (mobile) homes. It

includes lumber and other building materials dealers and

paint, glass, and wallpaper stores selling to the general

public, even if sales to contractors account for a larger

proportion of total sales; these establishments are known

as retail in the trade. Establishments primarily selling these

products but not selling to the general public are classified

in wholesale trade.

Lumber and other building materials dealers

(SIC 521). Establishments primarily engaged in selling

lumber, or lumber and a general line of building materials,

to the general public. While these establishments may also

sell to contractors, they are known as retail in the trade,

even if sales to contractors account for a higher proportion

of the sales. The lumber they sell may include rough and

dressed lumber, flooring, molding, doors, sashes, frames,

and other millwork. The building materials may include

roofing, siding, shingles, wallboard, paint, brick, tile, cement,

sand, gravel, and other building materials and supplies. For

lumber yards, at least 32 percent of sales must be from the

sale of lumber and millwork. Hardware is often an important line of retail lumber and building materials dealers.

Also included in this group are home centers. These are

retail establishments that sell both lumber and building

materials and hardware. Additionally, they must sell at

least 5 of the following merchandise lines: housewares,

tools (power and/or hand), floor coverings, electrical supplies, kitchen cabinets, plumbing and bath supplies, lawn

and garden products, paints and/or sundries, windows

and/or doors, roofing, wallcoverings, ceiling products and

materials, lawn and garden supplies, and appliances.

Establishments not selling to the general public or known

in the trade as wholesale are classified in SIC 503.

Paint, glass, and wallpaper stores (SIC 523). Establishments primarily engaged in selling paint, glass, and wallpaper, or any combination of these lines, to the general

public. While these establishments may also sell to contractors, they are known as retail in the trade, even if sales

to contractors account for a higher proportion of the sales.

Establishments which do not sell to the general public are

classified in wholesale trade.

Hardware stores (SIC 525). Establishments primarily

engaged in selling a number of basic hardware lines, such

as tools, builders’ hardware, locks and other security

hardware, paint and glass, housewares, household appliances, cutlery, and building materials, no one of which

accounts for 50 percent or more of the sales of the

establishments.

Retail nurseries, lawn and garden supply stores

(SIC 526). Establishments primarily engaged in selling

trees, shrubs, other plants, seeds, bulbs, mulches, soil

conditioners, fertilizers, pesticides, garden tools, and other

garden supplies to the general public. These establishments primarily sell products purchased from others, but

may sell some plants which they grow themselves. Establishments primarily engaged in growing trees, shrubs, other

plants, seeds, and bulbs are classified in SIC major group

01, and those growing Christmas trees are classified in SIC

major group 08.

Manufactured (mobile) home dealers (SIC 527). Establishments primarily engaged in the retail sale of new and

used mobile homes, parts and equipment. Establishments

primarily selling travel trailers and campers are classified in

SIC 5561 and those primarily selling utility trailers are

classified in SIC 5599.

General Merchandise Stores

(SIC Major Group 53)

This major group includes retail stores which sell a

number of lines of merchandise, such as dry goods,

apparel and accessories, furniture and homefurnishings,

small wares, hardware, and food. The stores included in

this group are known as department stores, variety stores,

general merchandise stores, catalog showrooms, warehouse clubs, and general stores. Establishments primarily

engaged in selling used general merchandise are classified in SIC 593, and those selling general merchandise by

mail, vending machine, or direct selling are classified in SIC

596.

Department stores (SIC 531). Retail stores normally

having 50 employees or more, having sales of apparel and

soft goods combined amounting to 20 percent or more of

total sales, and selling each of the following groups of

merchandise:

1. Household linens, dry goods, furniture, homefurnishings, appliances, and radio and TV sets

2. A general line of apparel for the family

The employment and lines of merchandise sold in

leased departments are both taken into account when

classifying a department store.

To qualify as a department store, sales of each of the

lines listed above must be less than 80 percent of total

store sales. An establishment with total sales of $10 million

or more is classified as a department store even if sales of

one of the merchandise lines listed above exceed the

maximum percent of total sales, provided that the sales of

the other group is $1 million or more. Relatively few stores

are included in this classification as a result of this special

rule and most of those which are would otherwise have

been classified in the apparel group (SIC major group 56).

Due to the relatively high level of leased department

activity in department stores, department store sales have

been separately presented for the following classifications:

Department stores (including leased depts.)

Department stores (excluding leased depts.)

A–4 APPENDIX A RETAIL TRADE—GEOGRAPHIC AREA SERIES
 JOBNAME: No Job Name PAGE: 5 SESS: 40 OUTPUT: Thu Sep 22 15:39:30 1994 /pssw01/disk2/economic/rc92a/0/14apdxa

For States and for areas with 10,000 retail establishments or more, the following subcategories of department

stores also are presented:

Conventional department stores (SIC 531 pt.). Establishments which satisfy the criteria of a department store

(see above) and:

1. Usually provide check-out service and customer assistance (sales persons) within each department

2. May have a catalog order service

3. Are not affiliated with a company which operates

similar establishments on a national basis

These stores often sell:

1. Soft goods and hard goods which are primarily nationally advertised brands

2. Appliances which are serviced by another company

3. Limited lines of merchandise through seasonal or

special catalogs

Discount or mass merchandising department stores

(SIC 531 pt.). Establishments which satisfy the criteria of a

department store (see above) and usually:

1. Convey the image of a high-volume, fast turnover

outlet selling a variety of merchandise for less than

conventional prices

2. Provide centralized check-out service

3. Sell merchandise through self-service with minimal

customer assistance provided in any department

4. Do not have a catalog order service

These stores often sell:

1. Soft goods which are usually their own corporate

brands or are unbranded

2. Hard goods which are primarily nationally advertised

brands

3. Appliances which are serviced by another company

National chain department stores (SIC 531 pt.). Establishments which satisfy the criteria of a department store

(see above) and:

1. Usually provide check-out service and customer assistance (sales persons) within each department

2. Usually have a catalog order service

3. Are affiliated with a company which operates similar

establishments on a national basis

These stores often sell:

1. Soft goods and hard goods which are their own

corporate brands or are unbranded

2. Appliances which are serviced by their own company

Variety stores (SIC 533). Establishments primarily engaged

in the retail sale of a variety of merchandise in the low and

popular price ranges. Sales usually are made on a cashand-carry basis, with the open selling method of display

and customer selection of merchandise. These stores

generally do not carry a complete line of merchandise, are

not departmentalized, do not carry their own charge service, and do not deliver merchandise.

Miscellaneous general merchandise stores (SIC 539).

Establishments primarily engaged in the retail sale of a

general line of apparel, dry goods, hardware, housewares

or homefurnishings, groceries, and other lines in limited

amounts. Stores selling commodities covered in the definition for department stores but normally having less than

50 employees, and stores usually known as country or

general stores are included here. Also included are most

catalog showrooms. Establishments primarily engaged in

the retail sales of merchandise by catalog, mail, or television order are classified in SIC 5961.

Warehouse clubs (SIC 539 pt.). Establishments primarily

engaged in the retail sale of general lines of merchandise

such as groceries; automotive tires, batteries, parts, and

accessories; audio and video equipment; household appliances; office equipment and supplies; apparel; and books

through warehouse-based operations. These establishments are sometimes known as membership warehouse

clubs.

Catalog showrooms (SIC 539 pt.). Establishments primarily engaged in the retail sale of general lines of merchandise such as homefurnishings, housewares, jewelry, radios,

televisions, stereo equipment, and sporting goods. Inventory is stored at the location but not usually on display.

Customers order using a catalog and wait while the

merchandise is being delivered from the stock room.

Other miscellaneous general merchandise stores

(SIC 539 pt.). Establishments primarily engaged in the

retail sale of several lines of merchandise such as piece

goods, men’s and women’s apparel and accessories, dry

goods, hardware, housewares, homefurnishings, and other

lines in limited amounts. Included in this industry are stores

selling commodities covered in the definition for industry

5311, but normally having less than 50 employees. Also

included are stores known as country general stores.

RETAIL TRADE—GEOGRAPHIC AREA SERIES APPENDIX A A–5
 JOBNAME: No Job Name PAGE: 6 SESS: 40 OUTPUT: Thu Sep 22 15:39:30 1994 /pssw01/disk2/economic/rc92a/0/14apdxa

Food Stores

(SIC Major Group 54)

This major group includes retail stores primarily engaged

in selling food for home preparation and consumption.

Establishments primarily engaged in selling prepared foods

and drinks for consumption on the premises are classified

in major group 58, and stores primarily engaged in selling

packaged beers and liquors are classified in SIC 5921.

Grocery stores (SIC 541). Establishments primarily selling (1) a wide variety of canned or frozen foods such as

vegetables, fruits, and soups; (2) packaged or bulk dry

groceries such as tea, coffee, cocoa, dried fruits, spices,

sugar, flour, and crackers, and (3) other processed foods

and nonedible grocery items. These establishments often

sell smoked and prepared meats, fresh fish and poultry,

fresh vegetables and fruits, and fresh or frozen meats.

Supermarkets and other general-line grocery stores

(SIC 541 pt.). Establishments commonly known as supermarkets, food stores, grocery stores, and food warehouses primarily engaged in the retail sale of a wide variety

of grocery store merchandise. Customers normally make

large, volume purchases from these stores.

Convenience food stores (SIC 541 pt.). Establishments

primarily engaged in the retail sale of a medium variety of

canned goods, dairy products, pre-packaged meats, and

other grocery items in limited amounts. They also may sell

newspapers, magazines, refreshment items, cigarettes,

beer, wine, and novelties. Customers normally utilize a

convenience store to purchase a few items, whereas

grocery stores are utilized for large, volume purchases.

Convenience stores normally have a maximum of two

check-out counters; less than 2,500 square feet of total

under-roof floor space; a small, private parking lot; and

hours of operation which normally extend beyond those of

traditional grocery stores. Establishments primarily selling

convenience store items but also selling gasoline are

classified in kind of business 541130.

Convenience food/gasoline stores (SIC 541 pt.). These

are establishments that satisfy the criteria of a convenience food store and also sell gasoline; however,

gasoline sales may not exceed 49 percent of total sales.

Establishments selling convenience store items but primarily selling gasoline are classified in kind of business

554130.

Delicatessens (SIC 541 pt.). Establishments primarily

engaged in the retail sale of cold cuts, oven-roasted

meats, bread, and other grocery items. They often prepare

sandwiches for carry-out and party platters, and may

prepare gourmet platters for take-home consumption.

Meat and fish (seafood) markets (SIC 542). Establishments primarily engaged in the retail sale of fresh, frozen

or cured meats, fish, shellfish, and other seafoods. They

may also sell poultry, dairy products, eggs, and other

commodities. Meat markets may butcher animals on their

own account, or they may buy from others. This industry

includes freezer and locker meat provisioners. Food locker

plants primarily engaged in renting locker space for the

storage of food products for individual households are

classified in industry 4222. Establishments primarily engaged

in the retail sale of food via frozen food plans delivered to

households or individuals are classified in SIC 5963, and

establishments primarily engaged in the retail sale of

poultry are classified in SIC 549.

Fruit and vegetable markets (SIC 543). Establishments

primarily selling fresh fruits and fresh vegetables. They

frequently also carry a limited line of grocery items. They

are often found in public or municipal markets, or roadside

stands. However, roadside stands of farmers selling only

their own produce are classified in SIC major group 01.

Candy, nut, and confectionery stores (SIC 544). Establishments primarily engaged in selling nuts, popcorn, boxed

or bulk candy and other confections such as candied fruits,

and chewing gum. Ice cream, frozen yogurt, and soft drinks

are often sold in these stores. Candy or confectionery

stores making their own products, and candy and popcorn

stands in theaters are classified here.

Dairy products stores (SIC 545). Establishments primarily engaged in the retail sale of packaged dairy products such as milk, cream, butter, cheese, and related

products to over-the-counter customers. Ice cream and

frozen yogurt stands are classified in SIC 5812 and establishments selling ice cream and similar products from

trucks or wagons are classified in SIC 5963. Establishments primarily engaged in processing and distributing

milk and cream are classified in SIC 2026.

Retail bakeries (SIC 546). Establishments primarily engaged

in the retail sale of bakery products. The products may be

purchased from others or made on the premises. Establishments manufacturing bakery products for the trade are

classified in SIC 2051 and those purchasing bakery products and selling them house to house are classified in SIC

5963.

Retail bakeries—baking and selling (SIC 546 pt.). Establishments selling, over the counter, bakery products

such as breads, rolls, cakes, cookies, and pies at least part

of which are baked on the premises.

Retail bakeries—selling only (SIC 546 pt.). Establishments primarily engaged in the retail sale of bakery products such as breads, cakes, and pies none of which are

produced on the premises.

Miscellaneous food stores (SIC 549). Establishments

primarily engaged in the retail sale of specialized foods,

not elsewhere classified, such as eggs, poultry, health

A–6 APPENDIX A RETAIL TRADE—GEOGRAPHIC AREA SERIES
 JOBNAME: No Job Name PAGE: 7 SESS: 37 OUTPUT: Thu Sep 22 15:39:30 1994 /pssw01/disk2/economic/rc92a/0/14apdxa

foods, vitamins, spices, herbs, coffee, and tea. The poultry

stores may sell live poultry, slaughter and clean poultry for

their own account, and sell dressed fowls or sell fowls

cleaned and dressed by others.

Automotive Dealers and Gasoline

Service Stations

(SIC Major Group 55)

This major group includes retail dealers selling new and

used automobiles, boats, recreational vehicles and utility

trailers, and motorcycles and mopeds; dealers selling new

automobile parts and accessories; and gasoline service

stations selling gasoline and lubricating oils. Automobile

repair shops maintained by establishments engaged in the

sale of new automobiles also are included unless reported

separately.

New and used car dealers (SIC 551). Establishments

primarily engaged in the sale of new automobiles or new

and used automobiles. These establishments have a franchise for the sale of new domestic and/or new imported

automobiles. They frequently maintain repair departments

and carry stocks of replacement parts, tires, batteries, and

automotive accessories. These establishments also frequently sell pickups and vans at retail.

Used car dealers (SIC 552). Establishments primarily

engaged in selling used cars and not holding a franchise

for the sale of new passenger cars. Some of these dealers

may sell a small quantity of trucks and farm equipment.

Some maintain repair and service departments. These

establishments also frequently sell used pickups and vans

at retail.

Auto and home supply stores (SIC 553). Establishments

primarily engaged in the retail sale of auto supplies such as

automotive batteries, parts, accessories; and sundry supplies such as polishes, paint, and decorative items. Establishments where used tires, batteries, and accessories

exceed 49 percent of total sales are classified in SIC 501.

Auto parts, tires, and accessories stores (SIC 553 pt.).

Establishments primarily engaged in the retail sale of new

automotive tires and tubes. These establishments frequently have facilities for tire recapping and vulcanizing.

These establishments also sell auto supplies such as

automotive batteries, parts, and accessories. Establishments engaged in producing and installing custom-made

seat covers for household users are included here.

Home and auto supply stores (SIC 553 pt.). Establishments primarily engaged in selling a combination of lines

such as tires, batteries and accessories; household appliances; sporting goods; housewares and hardware. These

differ from tire, battery, and accessory stores in that,

although the largest merchandise line sales may be in

automotive parts, accessories, and repairs, a considerable

amount of sales also are made in nonautomotive lines.

Gasoline service stations (SIC 554). Establishments

primarily engaged in selling gasoline and automotive

lubricants. These establishments frequently sell other merchandise such as tires, batteries, accessories, and other

automobile parts or perform minor repair work. Establishments called garages but deriving more than half of their

receipts from the sale of gasoline and automotive lubricants are included. Gasoline stations combined with other

activities such as grocery stores, convenience stores, or

car washes are classified based on primary activities as

determined by sales.

Gasoline/convenience food stores (SIC 554 pt.). Establishments primarily engaged in the retail sale of gasoline and automotive lubricants and also sell a line of

convenience store items such as milk, eggs, bread, beer,

pet food, detergents, etc. Establishments selling gasoline

and lubricants but primarily selling convenience food items

are classified in SIC 541.

Other gasoline service stations and truck stops

(SIC 554 pt.). Establishments primarily engaged in selling

gasoline and automotive lubricants. These establishments

usually sell tires, batteries, and accessories and perform

related services. They also may do minor repair work.

Truck stops primarily sell diesel fuel to truckers. They also

may sell gasoline and lubricants, provide repair services,

and operate a restaurant or motel as part of the truck stop

establishment. They normally are open on a 24-hour per

day basis.

Boat dealers (SIC 555). Establishments primarily engaged

in the retail sale of new and used motorboats and other

watercraft including parts, accessories, marine supplies,

and outboard motors.

Recreational vehicle dealers (SIC 556). Establishments

primarily engaged in the retail sale of new and used motor

homes, recreational trailers, and campers (pickup coaches)

including parts and accessories. Establishments primarily

engaged in the retail sale of manufactured (mobile) homes

are classified in SIC 527, and those primarily selling utility

trailers are classified in SIC 559.

Motorcycle dealers (SIC 557). Establishments primarily

engaged in the retail sale of new and used motorcycles,

including motor scooters, mopeds, all-terrain vehicles, and

parts and accessories.

Automotive dealers, not elsewhere classified

(SIC 559). Establishments primarily engaged in the retail

sale of new and used automotive vehicles, utility trailers,

and automotive equipment and supplies, not elsewhere

classified, such as snowmobiles, dunebuggies, and go-carts.

Also included are establishments primarily engaged in the

retail sale of aircraft.

Apparel and Accessory Stores

(SIC Major Group 56)

This major group includes retail stores primarily engaged

in selling clothing of all kinds and related articles for

RETAIL TRADE—GEOGRAPHIC AREA SERIES APPENDIX A A–7
 JOBNAME: No Job Name PAGE: 8 SESS: 38 OUTPUT: Thu Sep 22 15:39:30 1994 /pssw01/disk2/economic/rc92a/0/14apdxa

personal wear and adornment. Not included are establishments which meet the criteria for Department Stores (SIC

531) or Miscellaneous General Merchandise Stores (SIC

539) even though most of their receipts are from the sale

of apparel and apparel accessories.

Men’s and boys’ clothing and accessory stores

(SIC 561). Establishments primarily engaged in selling

men’s and boys’ ready-to-wear clothing and accessories.

Establishments are included in this category if (1) sales of

all types of apparel (except as noted in the definition for

general merchandise stores) account for 50 percent or

more of total sales and (2) receipts from sales of all men’s

and boys’ apparel are three or more times the receipts

from sales of all women’s and girls’ apparel.

Women’s clothing stores (SIC 562). Establishments

primarily engaged in selling women’s and girls’ ready-towear apparel. Establishments are included in this category

if (1) sales of all types of apparel (except as noted in the

definition for general merchandise stores) account for 50

percent or more of total sales, (2) sales of all women’s and

girls’ apparel are three or more times the sales of all men’s

and boys’ apparel, and (3) sales of dresses, skirts, slacks,

coats, suits, and furs are two or more times greater than

the sales of millinery, hosiery, underwear, blouses, handbags, and other apparel and accessories. Custom tailors

primarily engaged in making women’s clothing to individual

order are classified in SIC 569.

Women’s accessory and specialty stores (SIC 563).

Establishments primarily engaged in selling women’s accessories and specialties such as millinery, hats, foundation

garments, lingerie, hosiery, costume jewelry, gloves, handbags, and fur including custom-made.

Furriers and fur shops (SIC 563 pt.). Establishments

primarily engaged in making fur coats and other fur apparel

to custom order and selling ready-made fur coats and

other fur apparel. If fur repair and storage are the chief

sources of receipts, the establishments are classified in

Services, SIC 7219.

Other women’s accessory and specialty stores

(SIC 563 pt.). Establishments primarily engaged in selling

a specialized line of women’s accessories such as blouses,

knitwear, hosiery, hats, foundation garments, negligees,

costume jewelry, gloves and handbags. Juniors’ and misses’

accessory and specialty apparel is classified here.

Children’s and infants’ wear stores (SIC 564). Establishments primarily engaged in the retail sale of children’s

and infants’ clothing, furnishings, and accessories. They

may specialize in either children’s or infants’ wear or sell a

combination of children’s and infants’ wear.

Family clothing stores (SIC 565). Establishments primarily engaged in selling clothing, furnishings, and accessories for men, women, and children, without specializing

in sales for an individual sex or age group. Establishments

are included in this category if (1) sales of all types of

apparel (except as noted in the definition for general

merchandise stores) account for 50 percent or more of

their total sales, and (2) sales of apparel items for an

individual sex or age group are not more than three times

the sales of all other apparel items.

Men’s shoe stores (SIC 566 pt.). Establishments primarily engaged in selling men’s and boys’ shoes and other

footwear. Establishments selling women’s and girls’ and/or

children’s and infants’ footwear are included in this classification, if sales of men’s and boys’ footwear are more than

three times the combined sales of women’s, girls’, children’s,

and infants’ footwear.

Women’s shoe stores (SIC 566 pt.). Establishments

primarily engaged in selling women’s and girls’ shoes and

other footwear. Establishments selling men’s and boys’

and/or children’s and infants’ footwear are included in this

classification, if sales of women’s and girls’ footwear are

more than three times the combined sales of men’s, boys’,

children’s, and infants’ footwear.

Children’s and juveniles’ shoe stores (SIC 566 pt.).

Establishments primarily engaged in selling children’s and

infants’ shoes and other footwear. Establishments selling

men’s, boys’, and/or women’s and girls’ footwear are

included in this classification, if sales of children’s and

infants’ footwear are more than three times the combined

sales of men’s, boys’, women’s, and girls’ footwear.

Family shoe stores (SIC 566 pt.). Establishments primarily engaged in selling both men’s and women’s shoes

and other footwear; they may or may not sell children’s

shoes. Frequently, they also sell accessories such as

hosiery, gloves, and handbags. Establishments are included

in this classification, if sales of any one of the three major

groupings (men’s and boys’ footwear, women’s and girls’

footwear, and children’s and infants’ footwear) are not

more than three times the sales of the other two groups

combined.

Athletic footwear stores (SIC 566 pt.). Establishments

primarily engaged in selling athletic shoes for activities

such as tennis, jogging, baseball, softball, basketball,

boxing, racquetball, football, volleyball, etc. These establishments may also sell athletic apparel.

Miscellaneous apparel and accessory stores

(SIC 569). Establishments primarily engaged in the retail

sale of specialized lines of apparel and accessories, not

elsewhere classified, such as uniforms, bathing suits, raincoats, riding apparel, sports apparel, umbrellas, wigs, and

toupees. This industry also includes custom tailors primarily engaged in making and selling men’s and women’s

clothing, except fur apparel. Establishments primarily engaged

in making fur apparel to custom order are classified in SIC

563.

A–8 APPENDIX A RETAIL TRADE—GEOGRAPHIC AREA SERIES
 JOBNAME: No Job Name PAGE: 9 SESS: 43 OUTPUT: Thu Sep 22 15:39:30 1994 /pssw01/disk2/economic/rc92a/0/14apdxa

Furniture and Homefurnishings Stores

(SIC Major Group 57)

This major group includes retail stores selling goods

used for furnishing the home such as furniture, floor

coverings, draperies, glass and chinaware, domestic stoves,

refrigerators, and other household electric and gas appliances. Establishments selling electric and gas appliances

are included in this group only if the major part of their

sales consists of articles for home use. These stores also

may perform repair work on household appliances, radios,

televisions, and stereo equipment; but establishments

primarily engaged in repair of these products are classified

in SIC 76. Dealers primarily engaged in selling antique and

secondhand furniture are classified in SIC 5932. Stores

furnishing interior decorating service are classified according to the merchandise handled. Stores primarily engaged

in selling furnishings in conjunction with an interior decorator service are classified according to the merchandise

handled; if the interior designer primarily advises clients on

selection of merchandise, the establishment is classified in

SIC 7389.

Furniture stores (SIC 5712). Establishments primarily

engaged in selling new household furniture, beds, mattresses, springs, and other sleep equipment. Also included

in this classification are establishments selling household

appliances, phonographs, radios, television sets, and floor

coverings, provided the receipts from sales of furniture and

sleep equipment exceed those from sales of other merchandise. Furniture warehouse showrooms, sleep shops

and waterbed stores, and specialty furniture stores such as

baby furniture stores, are classified here. If sales of new

office furniture account for more than half of the total

sales, the establishments are classified in SIC 502120.

Floor covering stores (SIC 5713). Establishments primarily engaged in the retail sale of rugs, carpets, linoleum,

floor tile, and related products. Stores selling ceramic (wall

or floor) tile are classified in SIC 521130. Establishments

included in this industry may incidentally perform installation but contractors primarily engaged in installing floor

coverings for others are classified in SIC 1743 or 1752.

Drapery, curtain, and upholstery stores (SIC 5714).

Establishments primarily engaged in selling draperies,

curtains, slipcovers, and upholstery materials. Establishments primarily selling custom-made draperies and

slipcovers for household use also are included. Establishments primarily engaged in reupholstering or repairing

furniture are classified in SIC 7641.

Miscellaneous homefurnishings stores (SIC 5719).Establishments primarily engaged in the retail sale of miscellaneous homefurnishings such as china, glassware, and

metalware for kitchen and table use; bedding and linen;

brooms and brushes; lamps and shades; mirrors and

pictures; and venetian blinds and window shades. Establishments primarily engaged in the retail sale of miscellaneous homefurnishings by house-to-house canvass or by

party-plan merchandising are classified in SIC 5963.

Household appliance stores (SIC 572). Establishments

primarily engaged in the retail sale of electric and gas

refrigerators, stoves, microwave ovens, home freezers,

and other household appliances such as electric irons,

percolators, hot plates, vacuum cleaners, sewing machines,

dehumidifiers, and self contained room air-conditioners.

Many such stores also sell radios and television sets.

Radio, television, and electronics stores (SIC 5731).

Establishments primarily engaged in the retail sale of

radios, television sets, compact disc players, record players, high fidelity (hi-fi) sound reproducing equipment, and

other consumer electronics equipment. Such establishments also may sell additional lines such as household

appliances, computers, computer peripheral equipment,

software, musical instruments, and records. Establishments in this industry may perform incidental installation

and repair work on radios, televisions, and other consumer

electronics equipment. Establishments primarily engaged

in the installation and repair of these products are classified in SIC 7622.

Computer stores (SIC 5734 pt.). Establishments primarily engaged in the retail sale of computer hardware and

peripheral equipment such as printers, disk drives, etc.

Computer software and computer furniture frequently are

sold in these establishments.

Computer software stores (SIC 5734 pt.). Establishments primarily engaged in the retail sale of prepackaged

(off-the-shelf) computer software. Computer furniture, peripheral equipment, books, supplies, and accessories are

frequently sold in these establishments.

Record and prerecorded tape stores (SIC 5735). Establishments primarily engaged in selling phonograph records,

compact discs, and prerecorded audio and video tapes

and discs. Establishments primarily engaged in the retail

sale of computer software are classified in SIC 5734 and

those primarily engaged in the rental of video tapes in SIC

7841.

Musical instrument stores (SIC 5736). Establishments

primarily engaged in selling musical instruments such as

organs, pianos, horns, stringed instruments, and percussion instruments; sheet music; and similar supplies.

Eating and Drinking Places

(SIC Major Group 58)

This major group includes retail establishments engaged

in selling prepared foods and drinks for consumption on

the premises. Also included are caterers which serve

prepared food other than at the place of business and

lunch counters and refreshment stands selling prepared

foods and drinks for immediate consumption. In-plant food

contractors are included here as well as leased eating and

drinking concessions in hotels, motels, sports arenas, and

other amusement places.

RETAIL TRADE—GEOGRAPHIC AREA SERIES APPENDIX A A–9
 JOBNAME: No Job Name PAGE: 10 SESS: 37 OUTPUT: Thu Sep 22 15:39:30 1994 /pssw01/disk2/economic/rc92a/0/14apdxa

Restaurants (SIC 5812 pt.). Establishments primarily engaged

in serving prepared food and beverages. Included here are

only those establishments in which waiters/waitresses

take orders from patrons while the patrons are seated at a

counter, booth, or table. They often serve alcoholic beverages. Establishments in which sales of alcoholic beverages for consumption on the premises exceed sales of

prepared food and nonalcoholic beverages are classified

in Drinking Places (SIC 5813).

Cafeterias (SIC 5812 pt.). Establishments engaged in

serving a wide variety of prepared food and beverages

primarily through the use of a cafeteria line where customers make selections from displayed items. Some limited

waiter/waitress service may be provided. Table and/or

booth seating facilities are usually provided.

Refreshment places (SIC 5812 pt.). Establishments primarily engaged in selling limited lines of refreshments and

prepared food. Included in this group are establishments

which prepare items such as chicken and hamburgers for

consumption either on or near the premises or for ‘‘takehome’’ consumption. Such establishments do not have

waiter/waitress service where the patron’s order is taken

while the patron is seated at a table, booth, or counter.

Other eating places (SIC 5812 pt.). This includes social

caterers, contract feeding and ice cream and frozen yogurt

shops. See following descriptions.

Social caterers (SIC 5812 pt.). Establishments primarily

engaged in serving prepared food and beverages for

weddings, banquets, etc. at a hall or similar dedicated

facility rather than at a fixed business location. Such

establishments also may arrange for some entertainment

but entertainment should be a minor part of the business.

(Separate data are shown only at the national level.)

Contract feeding (SIC 5812 pt.). Establishments primarily engaged in providing food service under contract to

another company; hospital; or governmental, penal, or

educational institution. The facilities and personnel of

these establishments may be provided by the contracting

company, institution, etc., but the management must always

be supplied by the contractor. (Separate data are shown

only at the national level.)

Ice cream and frozen yogurt shops (SIC 5812 pt.). Establishments primarily engaged in selling ice cream, frozen

yogurt, or other frozen ices for consumption either on or

near the premises. ‘‘Take-home’’ packages also may be

provided for ice cream sold in bulk. (Separate data are

shown only at the national level.) Establishments known as

ice cream or yogurt shops but primarily selling hamburgers,

hot dogs, etc. are classified in SIC 581240.

Drinking places (SIC 5813). Establishments primarily

engaged in the retail sale of alcoholic drinks such as beer,

ale, wine, and liquor for consumption on the premises. The

sale of food frequently accounts for a substantial portion of

the receipts of these establishments. Meals may or may

not be served.

Miscellaneous Retail Stores

(SIC Major Group 59)

This major group includes retail establishments not

elsewhere classified. These establishments fall into the

following categories: drug stores and proprietary stores;

liquor stores; used merchandise stores; miscellaneous

shopping goods stores; nonstore retailers, fuel dealers,

florists, cigar stores and stands, news dealers and newsstands, and miscellaneous retail stores not elsewhere

classified.

Drug stores (SIC 591 pt.). Establishments primarily engaged

in the retail sale of prescription drugs. They may carry a

number of related lines such as cosmetics, toiletries,

tobacco, and novelty merchandise and may operate a

soda fountain or lunch counter. Some of these stores sell

small electrical appliances, window fans, dishes, lawn

chairs, and similar products. Drug stores are classified

here if any prescriptions are sold or if there is an indication

that a pharmacist is employed. These stores are classified

on the basis of their usual trade designation rather than on

the stricter interpretation of commodities handled.

Proprietary stores (SIC 591 pt.). Establishments generally selling the same merchandise as drug stores, except

that prescriptions are not filled and sold.

Liquor stores (SIC 592). Establishments primarily engaged

in selling packaged alcoholic beverages such as ale, beer,

wine, and liquor for consumption off the premises. Liquor

stores operated by States, counties, and municipalities are

included.

Used merchandise stores (SIC 593). This industry includes

stores primarily engaged in the retail sale of used merchandise, antiques, and secondhand goods such as clothing

and shoes; furniture; books and rare manuscripts; musical

instruments; office furniture; phonographs and phonograph records; and store fixtures and equipment. The

industry also includes pawnshops. Dealers primarily engaged

in selling used motor vehicles, trailers, and boats are

classified in major group 55; and those primarily selling

used mobile homes in SIC 5271. Establishments primarily

selling used automobile parts and accessories are classified in SIC 5015 and scrap and waste dealers are classified

in SIC 5093. Establishments primarily engaged in automobile repair are classified in SIC 753.

General-line sporting goods stores (SIC 5941 pt.). Establishments primarily engaged in selling a general line of

sporting goods and equipment for hunting, camping, fishing, skiing, riding, tennis, golf, and other sports; and

gymnasium and playground equipment.

A–10 APPENDIX A RETAIL TRADE—GEOGRAPHIC AREA SERIES
 JOBNAME: No Job Name PAGE: 11 SESS: 40 OUTPUT: Thu Sep 22 15:39:30 1994 /pssw01/disk2/economic/rc92a/0/14apdxa

Specialty-line sporting goods stores (SIC 5941 pt.).

Establishments specializing in a maximum of four lines of

sporting goods and equipment such as guns, bicycles,

trophies, skiing, golfing, bowling, and billiards equipment.

These stores may also sell parts and/or accessories for

the specialized line and often rent and/or repair the line

they sell. Sales of motorcycles and motor scooters (including mopeds) are classified in SIC 5571. Establishments

primarily engaged in the retail sale of athletic footwear are

classified in SIC 5661.

Book stores (SIC 5942). Establishments primarily engaged

in selling new books and periodicals. Stationery and related

items may also be sold. The subclassifications are general,

specialty, and college book stores. Book clubs (not engaged

in publishing) primarily selling new books through the mail

are included in mail-order houses (SIC 5961). Establishments primarily engaged in the sale of used books are

classified in SIC 593.

Stationery stores (SIC 5943). Establishments primarily

engaged in the retail sale of stationery such as paper and

paper products (including printing and engraving), post

cards, novelties, and school supplies. These establishments also may sell additional lines of office type supplies

such as accounting and legal forms, blankbooks and

forms, and office forms and supplies. Establishments

primarily engaged in selling office supply forms and supplies are classified in SIC 5112. Stores specializing in the

sale of artists’ supplies are classified in SIC 5999.

Jewelry stores (SIC 5944). Establishments primarily engaged

in the retail sale of any combination of the lines of jewelry

such as diamonds and other precious stones; rings, bracelets, and brooches; sterling and plated silverware; and

watches and clocks. Stores primarily engaged in watch

and jewelry repair are classified in SIC 7631. Establishments primarily engaged in selling costume jewelry are

classified in kind of business 563210.

Hobby, toy, and game shops (SIC 5945). Establishments

primarily engaged in the retail sale of toys, games, and

hobby and craft kits and supplies. Establishments primarily

engaged in selling artists’ supplies or collectors’ items

such as coins, stamps, and autographs are classified in

SIC 5999.

Camera and photographic supply stores (SIC 5946).

Establishments primarily engaged in the retail sale of

cameras, film, and other photographic supplies and equipment. Establishments primarily engaged in the retail sale of

video cameras are classified in SIC 5731. Establishments

primarily engaged in finishing films are classified in SIC

7384.

Gift, novelty, and souvenir shops (SIC 5947). Establishments primarily engaged in the retail sale of combined

lines of gifts and novelty merchandise, souvenirs, greeting

cards, holiday decorations, and miscellaneous small art

goods.

Luggage and leather goods stores (SIC 5948). Establishments primarily engaged in the retail sale of luggage,

trunks, and leather goods, except apparel.

Sewing, needlework, and piece goods stores

(SIC 5949). Establishments primarily engaged in the retail

sale of sewing supplies, fabrics, patterns, yarn, and other

needlework accessories.

Catalog and mail-order houses (SIC 5961). Establishments primarily selling merchandise as a result of orders

received by catalog, mail, or television order. Customers

are made aware of goods available for sale through

catalogs, mailing pieces, advertisements in newspapers

and magazines, advertising on radio and television, and by

operating catalog stores that carry little stock other than

display items. They receive their orders by phone or mail

and fill most of their orders by mail. These establishments

do not ordinarily maintain stock for sale on the premises.

Departmentalized retail stores normally with 50 employees

or more and operated by mail-order houses and selling a

general line of merchandise are classified in SIC 531.

Retail stores normally with less than 50 employees and

operated by mail-order houses and selling a general line of

merchandise are classified in SIC 539. Establishments

primarily engaged in mail-order sales of computer hardware and/or software and television order (home shopping) sales are included within the classification.

Mail-order houses, department store merchandise

(SIC 5961 pt.). These are mail-order houses selling the

following lines of merchandise; furniture; homefurnishings;

appliances; radio and TV sets; household linens and dry

goods; and apparel with the same percentage requirements of a department store.

Mail-order houses, other general merchandise

(SIC 5961 pt.). These are mail-order houses selling a

variety of merchandise but not meeting the criteria of a

department store (see SIC 5311 for criteria).

Mail-order houses, specialized (SIC 5961 pt.). These are

mail-order houses which primarily sell a single item or a

group of related items such as foods; apparel and accessories; computers and computer software; appliances,

TV’s, audio equipment, furniture, floor coverings, kitchenware, and homefurnishings; books and stationery; proprietary medicines; antiques; used merchandise; sporting

goods; silverware; cigars and cigarettes; cameras and

photographic equipment; gifts and novelties; optical goods;

leather goods; artists’ supplies; pet goods; hobby equipment; and toys and games. Sales of a single or related

group of items must exceed 49 percent.

Automatic merchandising machine operators (SIC 5962).

Establishments primarily engaged in the retail sale of

products by automatic merchandising units (vending machines)

which are generally located on the premises of other

RETAIL TRADE—GEOGRAPHIC AREA SERIES APPENDIX A A–11
 JOBNAME: No Job Name PAGE: 12 SESS: 37 OUTPUT: Thu Sep 22 15:39:30 1994 /pssw01/disk2/economic/rc92a/0/14apdxa

businesses. This industry does not include coin-operated

service machines such as washers and dryers (SIC 7215),

music machines and amusement game machines (SIC

7993), lockers and scales (SIC 7299), or insurance policies

sold through vending machines (SIC 63). The "establishment" is the location from which the vending route (or

routes) is serviced, not the number of vending machines or

the number of business locations in which vending machines

are located.

Direct selling establishments (SIC 5963). Establishments primarily engaged in selling merchandise by houseto-house canvass, by party plan, by telephone, or from

trucks or wagons or other temporary locations. The ‘‘establishment’’ is the location from which the canvassers operate. Canvassers who do not have any paid help are

excluded from the tabulations in this report. In some

tabulations at the national level, direct selling organizations are divided into subclassifications on the basis of the

merchandise they sell. The subclassifications are furniture,

homefurnishings, and equipment; mobile food service;

books and stationery; and other direct selling.

Direct selling, furniture, homefurnishings, and

equipment (SIC 5963 pt.). These are establishments

primarily engaged in direct selling of furniture, baby furniture, floor coverings, draperies, curtains, china, glassware,

kitchen utensils, cutlery, plastic housewares, brooms and

brushes, lamps and shades, mirrors and pictures, venetian

blinds and window shades, radios and television sets and

parts, household appliances such as refrigerators and

broilers, and other homefurnishings. Sales of these items

must exceed 49 percent of total sales. Sellers of brushes

and other cleaning aids are classified here. Sellers by the

party plan where the salesperson conducts parties in order

to assemble customers are also included here.

Direct selling, mobile food service (SIC 5963 pt.).

These are establishments primarily engaged in direct

selling of food for immediate consumption such as sandwiches, soup, etc. Establishments primarily engaged in

direct selling of food, not for immediate consumption, are

classified in kind of business 596340.

Direct selling, books and stationery (SIC 5963 pt.).

These are establishments primarily engaged in direct

selling of books, magazine subscriptions, encyclopedias,

and stationery. Sales of these items must exceed 49

percent of total sales. Direct sellers of greeting cards and

newspapers are classified in kind of business 596340.

Direct selling, other (SIC 5963 pt.). These are direct

selling establishments which sell merchandise not covered

in above kind of businesses. Included are establishments

selling building materials, hardware, and lawn and garden

supplies; general merchandise; food (including frozen food

and freezer plans) and the door-to-door delivery of dairy

products (excluding prepared foods for immediate

consumption); apparel and accessories; cosmetics;

proprietary medicines; used merchandise; sporting goods;

jewelry; tobacco products; cameras and photographic

equipment; gifts, novelties, and souvenirs; optical goods;

leather goods; hobby equipment; religious articles;

newspapers; greeting cards; and toys and games.

Fuel oil dealers (SIC 5983). Establishments primarily

engaged in the retail sale of fuel oil. Establishments

primarily selling fuel oil burners are classified in SIC 5074;

dealers primarily engaged in installing and servicing fuel oil

burners, in SIC 1711; and fuel oil burner repair service only,

in SIC 7699.

Liquefied petroleum gas (bottled gas) dealers

(SIC 5984). Establishments primarily engaged in the retail

sale of bottled or bulk liquefied petroleum (LP) gas.

Fuel dealers, not elsewhere classified (SIC 5989). Establishments primarily engaged in the retail sale of coal, coke,

charcoal, wood, or any combination of these lines. Establishments primarily selling fuel oil are classified in SIC 5983

and those primarily selling bottled gas in SIC 5984.

Florists (SIC 5992). Establishments primarily engaged in

the retail sale of cut flowers and growing plants. Stores

primarily engaged in the retail sale of seeds, bulbs, and

nursery stock are classified in SIC 5261, and greenhouses

and nurseries primarily engaged in growing seeds, bulbs,

flowers, and nursery stock are classified in SIC 0181.

Tobacco stores and stands (SIC 5993). Establishments

primarily engaged in the retail sale of cigarettes, cigars,

tobacco, and smokers’ supplies. Many of the establishments included in this classification are operated as

concessions in places of amusement, railway stations,

airports, and other public places.

News dealers and newsstands (SIC 5994). Establishments primarily engaged in the retail sale of newspapers,

magazines, and other periodicals. Home delivery of newspapers by other than printers or publishers is classified in

SIC 5963. Establishments engaged in delivering newspapers for subsequent home delivery are classified in SIC

4212.

Optical goods stores (SIC 5995). Establishments primarily engaged in the retail sale of prescription eyeglasses

and contact lenses for individuals. Offices of oculists,

ophthalmologists and optometrists are classified in major

group 80 even though a majority of their revenue is from

the sale of eyeglass frames or prescription eyeglasses and

contact lenses.

Miscellaneous retail stores, not elsewhere classified

(SIC 5999). Establishments primarily engaged in the retail

sale of specialized lines of merchandise, not elsewhere

classified. This industry also includes establishments primarily engaged in selling a general line of their own or

A–12 APPENDIX A RETAIL TRADE—GEOGRAPHIC AREA SERIES
 JOBNAME: No Job Name PAGE: 13 SESS: 37 OUTPUT: Thu Sep 22 15:39:30 1994 /pssw01/disk2/economic/rc92a/0/14apdxa

consigned merchandise at retail or at auction. Establishments primarily engaged in auctioning tangible personal

property of others on a fee basis are classified in SIC 7389.

Pet shops (SIC 5999 pt.). These are retail stores selling

pets such as dogs, cats, birds, rabbits, and tropical fish; pet

foods and remedies. Aquariums, cages, pet toys, and

aquatic plants are often sold in these types of stores. Many

of these shops board pets on the premises. If receipts from

the boarding of pets account for more than 49 percent of

total receipts, the establishments are classified in Agriculture, Industry 075200 6.

Art dealers (SIC 5999 pt.). These are retail establishments primarily engaged in the retail sale of art goods,

including original oil paintings, sculptures, glassware items

and ceramics, at retail or at auction. Establishments

primarily selling supplies for making ceramic items are

classified in kind of business 594520. Establishments

primarily selling artists’ supplies are classified in kind of

business 599990. Establishments primarily selling art reproductions are classified in Industry 571900.

Other miscellaneous retail stores, not elsewhere

classified (SIC 5999 pt.). These are retail stores, not

elsewhere classified, which sell specialized lines such as

artists’ supplies, above-ground swimming pools and supplies, orthopedic and artificial limbs, drafting materials,

hearing aids, furniture polish, rubber stamps, monuments

and tombstones, sanitary supplies (including disinfectants),

seasonal decorations, artificial flowers and plants, fireworks, etc. Religious goods stores are classified here.

RETAIL TRADE—GEOGRAPHIC AREA SERIES APPENDIX A A–13
FILE: /usr/sys06/591701f.

PRINTED: Mon Jan 10 10:28:41 1994

CREATED: Mon Jan 3 08:40:20 1994

B–2 APPENDIX B RETAIL TRADE–GEOGRAPHIC AREA SERIES

U.S. DEPARTMENT OF COMMERCE

BUREAU OF THE CENSUS

U.S. DEPARTMENT OF COMMERCE

BUREAU OF THE CENSUS

FORM

CB-5917

DUE DATE: FEBRUARY 15, 1993

If you have questions about completing

this report, please call or write the

Census Bureau. In any communication,

be sure to refer to the 11-digit Census

File Number (CFN) printed in the label

to the right. Please return your

completed report to:

BUREAU OF THE CENSUS

1201 East 10th Street

Jeffersonville, IN 47134-0001

Toll-free assistance, 8:00 a.m. to 8:00 p.m., 

eastern time, Monday through Friday:

1–800–233–6136

Please read the accompanying

instructions before answering

the questions.

Census use

(Please correct any errors in name, address, and ZIP Code.)

YOUR RESPONSE IS REQUIRED BY LAW. Title 13, United States Code, requires businesses and other organizations that receive this questionnaire to answer the questions and return the report to the Census Bureau. By the same law, YOUR CENSUS REPORT 

IS CONFIDENTIAL. It may be seen only by Census Bureau employees and may be used only for statistical purposes. Further, copies retained in respondents’ files are immune from legal process.

Item 1. EMPLOYER IDENTIFICATION NUMBER

Is the Employer Identification (EI) Number shown in the

label the same as the one used for this establishment

on its latest 1992 Employer’s Quarterly Federal Tax

Return, Treasury Form 941?

094 1 Yes

(9 digits)

City, town, village, etc. State ZIP Code

a.

b.

c.

d.

Is this establishment physically located inside the legal

boundaries of the city, town, village, etc.?

In what type of municipality is this establishment

physically located?

1

2

3

4

City, village, or borough

Town or township

Other – Specify

Do not know

In what county is this establishment physically located?

How many months during 1992 was 

this establishment actively operated?

2 No – Report current EI No. below

Item 2. PHYSICAL LOCATION

093 1 Yes 2 No – Report physical location below

Is this establishment’s physical location the same as

the address shown in the label? (P.O. box and rural route

addresses are not physical locations)

Number and street

095 1 Yes

3 No legal boundaries

2 No

4 Do not know

Item 3. OPERATIONAL STATUS

096

a.

In operation

Temporarily or seasonally inactive

Ceased operation – Give date at right

Sold or leased to another operator – Give date at right AND enter name, 

etc., below

Name of new owner or operator

Number and street

City State ZIP Code

002

Which of the following best describes this establishment’s

status at the end of 1992? Mark (X) only ONE box.

001 Figures only

Month Year

b.

HOW TO 

REPORT 

DOLLAR 

FIGURES

Dollar figures should be rounded 

to thousands of dollars.

Example: If a figure 

is $1,125,628.79 

report Acceptable

Item 4. DOLLAR VOLUME OF BUSINESS

Sales of merchandise and other 

operating receipts for 1992 (Exclude 

sales or other taxes collected)

Item 5. PAYROLL

Item 6. EMPLOYMENT

Number of paid employees for pay period 

including March 12, 1992 (Include both 

full- and part-time employees)

a.

b.

Mil. Thou. Dol.

Mil. Thou. Dol.

Number

Millions

(000)

Thousands

(000)

Dollars 

(000)

1 126

Payroll in 1992, BEFORE DEDUCTIONS

Annual

First quarter (January–March)

1 125 629

010

030

031

032

Number of months

1992 CENSUS OF RETAIL TRADE

FLORISTS

OMB No. 0607-0719: Approval Expires 06/30/94

•

1

2

3

4

CB-5917

PENALTY FOR FAILURE TO REPORT

Preferred

CONTINUE ON PAGE 2
FILE: /usr/sys06/591702f.

PRINTED: Mon Jan 10 10:30:45 1994

CREATED: Wed Dec 22 09:48:23 1993

RETAIL TRADE–GEOGRAPHIC AREA SERIES APPENDIX B B–3

Item 9. CLASS OF CUSTOMER

Report the percentage of this establishment’s total sales in 1992 (item 4) to each class of customer.

a. General public (household consumers and individuals)

Other, including retailers; wholesalers; institutional, industrial, commercial, professional, and farm users 

(for use in farm production); and government

b.

Whole percent

of sales

Report sales for each merchandise line sold by this 

establishment, either as a dollar figure or as a whole 

percent of total sales. (See HOW TO REPORT DOLLAR 

FIGURES on page 1 and HOW TO REPORT PERCENTS below)

HOW TO

REPORT

PERCENTS

If figure is 38.76% of

total sales:

Not acceptable

Mil. Thou. Dol. Percent

Item 10. MERCHANDISE LINES

237

239

39

38.76

ESTIMATES are acceptable.

Cen- Report dollars OR percents. sus

use

230

Merchandise lines

•

Mil. Thou. Dol. Percent

Page 2

FORM CB-5917 CONTINUE ON PAGE 3

231 232 1. Lawn and garden

equipment and supplies, cut

flowers, plants, shrubs,

fertilizers, etc. (Report

nonfloral giftware on line 2a

and report materials used in

landscaping or lawn service

on line 14b)

a. Cut flowers – unarranged

Cut flowers – arranged

Indoor potted plants –

nonblooming

Outdoor nursery stock

(trees, shrubs, bedding

plants, bulbs, sod, seeds,

etc.)

All other lawn and garden

equipment and supplies

(include lawn and garden

tools and equipment,

fertilizers, lime, mulch, and

chemicals, etc.)

Sum of lines 1a through 1f

Kitchenware and

homefurnishings (include

cookware, dinnerware,

clocks, pictures, frames,

mirrors, bathroom

accessories, etc.)

Giftware and glassware

(Include vases. Report

candy and confections on

line 11a.)

All other kitchenware and

homefurnishings (include

cookware and cooking

accessories, dinnerware,

decorative accessories, etc.)

Sum of lines 2a and 2b

Souvenirs and novelty

items (include fruit and

gourmet food baskets and

pre-filled balloons)

b.

c.

e.

f.

g.

2.

Indoor potted plants –

blooming

Seasonal decorations (Report

cut live and balled live

Christmas trees on line 1e)

Artificial flowers, plants,

and trees

Greeting cards

Furniture (include

outdoor/patio furniture)

Jewelry (include watches,

watch attachments, novelty

jewelry, etc.)

d.

3.

4.

5.

6.

7.

8.

a.

b.

622 c.

623

624

625

627

633

620

386

387

380

877

878

879

855

340

400

Report whole percents

Item 7. KIND OF BUSINESS

What was this establishment’s PRINCIPAL kind of business in 1992? Mark (X) only ONE box.

070

Florist . . . . . . . . . . . . . . . . . . . . . . . . . 599201

Telemarketing. . . . . . . . . . . . . . . . . . . . .

Mail order (include catalog selling and home

shopping via television or computer) . . . . . .

Selling at this establishment . . . . . . . . . . . .

What was this establishment’s PRINCIPAL method of selling in 1992? Mark (X) only ONE box.

Item 8. METHOD OF SELLING

235

Direct selling (include selling from house-tohouse and nonfixed or temporary locations) . .

Operating merchandise vending machines . . .

1

2

3

4

5

Retail nursery . . . . . . . . . . . . . . . . . . . .

Garden supply store . . . . . . . . . . . . . . . .

Indoor plant store . . . . . . . . . . . . . . . . . .

Landscaping service . . . . . . . . . . . . . . . .

526101 Other kind of business – Describe . . . . . . . .

526103

599202

9078100

777777

ESTIMATES are acceptable.

Report dollars OR percents.

Percent Mil. Thou. Dol.

Census

use

Merchandise lines

Item 10. MERCHANDISE LINES – Continued

ITEM 10 CONTINUED ON PAGE 3
FILE: /usr/sys06/591703f.

PRINTED: Mon Jan 10 10:31:49 1994

CREATED: Wed Dec 22 12:48:58 1993

B–4 APPENDIX B RETAIL TRADE–GEOGRAPHIC AREA SERIES

ESTIMATES are acceptable.

Cen- Report dollars OR percents. sus

use Merchandise lines

Mil. Thou. Dol. Percent

Page 3

CONTINUE ON PAGE 4

Item 10. MERCHANDISE LINES – Continued

ITEM 14 CONTINUED ON PAGE 4

Toys, hobby goods, and

games (Include stuffed

animals. Report pre-filled

balloons on line 3.)

Craft supplies

Groceries and other food

items for human

consumption off the

premises

Candy

All other foods (Include dry

groceries, canned and

bottled foods, etc. Report

fruit and gourmet food

baskets on line 3.)

Sum of lines 11a and 11b

Packaged liquor, wine, and

beer

All other merchandise

(Report receipts for services

on line 14) 

a.

9.

10.

All nonmerchandise receipts

(include receipts from rentals,

storage, and other services

provided to customers)

EXCLUDING SALES AND

OTHER TAXES

Wire services and

commissions

All other nonmerchandise

receipts

Sum of lines 14a and 14b

TOTAL (Should equal item 4 

if reporting in dollars)

11.

b.

c.

12.

13.

14.

a.

15.

b.

c.

460

881

109

114

100

140

890

891

892

893

945

977

900

990

a.

b.

c.

100%

Specify principal lines and 

estimated sales below

Item 11. SPECIAL INQUIRIES

What percentage of 1992 sales and 

receipts (item 4) was derived from 

items grown by this establishment?

255

Item 12. Not applicable to this report

Item 13. LEGAL FORM OF ORGANIZATION

Which of the following best describes this establishment’s

legal form of organization during 1992? Mark (X) only ONE box.

Individual owner (sole proprietorship)

Corporation (Do not mark if any form of

cooperative association)

Other – Specify

1

9

003

Report in

whole percent

5

4

3

2

0

Partnership

Cooperative association (taxable)

Cooperative association (tax-exempt)

Government – Specify

Item 14. OWNERSHIP, CONTROL, AND LOCATIONS OF OPERATION

Name

Number and street

City State ZIP Code

Kind-of-business description

1

d. How many establishments operated under 

the Employer Identification Number shown 

in the label (or as corrected in item 1) AT 

THE END of 1992?

If more than one, provide the physical location address and 

other information indicated below for each establishment. The 

headquarters location should be first, followed by all other 

locations. If more room is needed, continue in the same 

format in REMARKS or on a separate sheet of paper.

Estimates are acceptable if book figures are not available.

Number

a. Is the FIRST DIGIT of your Census File Number (shown 

in the address label immediately after "CFN") a zero?

1 Yes – Complete this item

2 No – Skip to item 15

b. Is this company 

owned or 

controlled by 

another company?

1 Yes

2 No

1 Yes

2 No

c. Does this company 

own or control 

any other company 

or companies?

Enter name, address, and EI Number of the 

owning or controlling company

Enter name, address, and EI Number of the 

owned or controlled company

EI No. (9 digits)

097

1992 Mil. Thou.

Sales

Annual

payroll

Paid employees for pay

period including March 12

081

Census

use

082

083

088

Dol.

098

079

FORM CB-5917 U.S. DEPARTMENT OF COMMERCE BUREAU OF THE CENSUS

1992 CENSUS OF RETAIL TRADE

FLORISTS

Enter the 11-digit 

CENSUS FILE NUMBER 

as shown on this report 

(See label on page 1)

EI No. (9 digits)
FILE: /usr/sys06/591704f.

PRINTED: Mon Jan 10 10:33:03 1994

CREATED: Mon Jan 3 08:54:24 1994

RETAIL TRADE–GEOGRAPHIC AREA SERIES APPENDIX B B–5

Page 4

FORM CB-5917

Item 14. OWNERSHIP, CONTROL, AND LOCATIONS OF OPERATION – Continued

Name

Number and street

City State ZIP Code

Kind-of-business description

1992 Mil. Thou.

Sales

Annual

payroll

Paid employees for pay

period including March 12

081

2

Census

use

082

083

088

Dol.

PLEASE PHOTOCOPY THIS FORM FOR YOUR RECORDS

Period covered

by this report

Item 15. CERTIFICATION – This report is substantially accurate and has been prepared in accordance with instructions.

FROM:

Mo. Year

TO: Name of person to contact regarding this report – Print or type

Title

Telephone

Area code Number Extension

Signature of authorized person Date

Mo. Year

Name

Number and street

City State ZIP Code

Kind-of-business description

1992 Mil. Thou.

Sales

Annual

payroll

Paid employees for pay

period including March 12

081

3

Census

use

082

083

088

Dol.

1992 Mil. Thou.

Sales

Annual

payroll

Paid employees for pay

period including March 12

081

Census

use

082

083

088

Dol.

1992 Mil. Thou.

Sales

Annual

payroll

Paid employees for pay

period including March 12

081

Census

use

082

083

088

Dol.

Name

Number and street

City State ZIP Code

Kind-of-business description

4

Name

Number and street

City State ZIP Code

Kind-of-business description

5

REMARKS – Please use this space for any explanations that may be essential in understanding your reported data.
FILE: /usr/sys06/591705f.

PRINTED: Mon Jan 10 11:11:17 1994

CREATED: Wed Dec 22 15:16:35 1993

B–6 APPENDIX B RETAIL TRADE–GEOGRAPHIC AREA SERIES
FILE: /usr/sys06/591706f.

PRINTED: Mon Jan 10 11:19:25 1994

CREATED: Thu Dec 23 08:02:23 1993

RETAIL TRADE–GEOGRAPHIC AREA SERIES APPENDIX B B–7
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 99

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Appendix C.

Kind-of-Business Titles and Reporting-Form Numbers

[Listed below are retail kind-of-business titles and their corresponding reporting-form numbers. Requests for copies of any of these forms, including the inquiries used to classify establishments by

kind of business, should be directed to the Business Division, Bureau of the Census, Washington, DC 20233]

SIC code Title Reporting

form CB52 BUILDING MATERIALS AND GARDEN SUPPLIES STORES

5211 Lumber and other building materials dealers 5201 --------------------------- 5231 Paint, glass, and wallpaper stores 5202 ------------------------------------- 5251 Hardware stores 5203 ---------------------------------------------------- 5261 Retail nurseries, lawn and garden supply stores 5204 ------------------------ 5271 Manufactured (mobile) home dealers 5205 ----------------------------------

53 GENERAL MERCHANDISE STORES

5311 pt. Conventional department stores 5301 -------------------------------------- 5311 pt. Discount or mass merchandising department stores 5301 -------------------- 5311 pt. National chain department stores 5301 ------------------------------------- 5331 Variety stores 5302 ------------------------------------------------------- 5399 Miscellaneous general merchandise stores 5301 -----------------------------

54 FOOD STORES

5411 Grocery stores 5400 ------------------------------------------------------ 5421 Meat and fish (seafood) markets 5400 -------------------------------------- 5431 Fruit and vegetable markets 5400 ------------------------------------------ 5441 Candy, nut, and confectionery stores 5400 ---------------------------------- 5451 Dairy products stores 5400 ------------------------------------------------ 5461 Retail bakeries 5400 ------------------------------------------------------ 5499 Miscellaneous food stores 5400 -------------------------------------------

55 AUTOMOTIVE DEALERS AND GASOLINE SERVICE

STATIONS

5511 New and used car dealers 5501 -------------------------------------------

5521 Used car dealers 5501 ----------------------------------------------------

5531 pt. Auto parts, tires and accessories stores 5502 -------------------------------

5531 pt. Home and auto supply stores 5502 ----------------------------------------

5541 Gasoline service stations 5504 --------------------------------------------

5551 Boat dealers 5503 --------------------------------------------------------

5561 Recreational vehicle dealers 5503 ------------------------------------------

5571 Motorcycle dealers 5503 --------------------------------------------------

5599 Automotive dealers, n.e.c. 5503 --------------------------------------------

56 APPAREL AND ACCESSORY STORES

5611 Men’s and boys’ clothing and accessory stores 5601 ------------------------

5621 Women’s clothing stores 5601 ---------------------------------------------

5631 Women’s accessory and specialty stores 5601 ------------------------------

5641 Children’s and infants’ wear stores 5601 ------------------------------------

5651 Family clothing stores 5601 -----------------------------------------------

5661 pt. Men’s shoe stores 5602 --------------------------------------------------

5661 pt. Women’s shoe stores 5602 -----------------------------------------------

5661 pt. Children’s and juveniles’ shoe stores 5602 ----------------------------------

5661 pt. Family shoe stores 5602 --------------------------------------------------

5661 pt. Athletic footwear stores 5602 ----------------------------------------------

5699 Miscellaneous apparel and accessory stores 5601 ---------------------------

SIC code Title Reporting

form CB57 FURNITURE AND HOMEFURNISHINGS STORES

5712 Furniture stores 5701 ----------------------------------------------------- 5713 Floor covering stores 5704 ------------------------------------------------ 5714 Drapery, curtain, and upholstery stores 5705 -------------------------------- 5719 Miscellaneous homefurnishings stores 5705 ---------------------------------

5722 Household appliance stores 5702 ------------------------------------------

5731 Radio, television, and electronics stores 5702 -------------------------------

5734 Computer and software stores 5702 ----------------------------------------

5735 Record and prerecorded tape stores 5703 ----------------------------------

5736 Musical instrument stores 5703 --------------------------------------------

58 EATING AND DRINKING PLACES

5812 pt. Restaurants 5801 --------------------------------------------------------

5812 pt. Social caterers 5801 ------------------------------------------------------

5812 pt. Cafeterias 5801 ----------------------------------------------------------

5812 pt. Refreshment places 5801 -------------------------------------------------

5812 pt. Contract feeding 5802 ----------------------------------------------------

5812 pt. Ice cream and frozen yogurt shops 5801 -----------------------------------

5813 Drinking places 5801 -----------------------------------------------------

59 MISCELLANEOUS RETAIL STORES

5912 pt. Drug stores 5901 ---------------------------------------------------------

5912 pt. Proprietary stores 5901 ---------------------------------------------------

5921 Liquor stores 5902 -------------------------------------------------------

5932 Used merchandise stores 5903 --------------------------------------------

5941 pt. General line sporting goods stores 5904 ------------------------------------

5941 pt. Specialty line sporting goods stores 5904 -----------------------------------

5942 Book stores 5905 --------------------------------------------------------

5943 Stationery stores 5906 ----------------------------------------------------

5944 Jewelry stores 5907 ------------------------------------------------------

5945 Hobby, toy, and game shops 5908 -----------------------------------------

5946 Camera and photographic supply stores 5909 -------------------------------

5947 Gift, novelty, and souvenir shops 5906 -------------------------------------

5948 Luggage and leather goods stores 5906 ------------------------------------

5949 Sewing, needlework, and piece goods stores 5910 ---------------------------

5961 pt. Mail-ordermdepartment store merchandise 5911 -----------------------------

5961 pt. Mail-ordermother general merchandise 5911 --------------------------------

5961 pt. Mail-ordermspecialized merchandise 5911 ----------------------------------

5962 Automatic merchandising machine operators 5802 ---------------------------

5963 pt. Direct selling mfurniture, homefurnishings, and equipment 5911 ----------------

5963 pt. Direct selling mmobile food service 5911 ------------------------------------

5963 pt. Direct selling mbooks and stationery 5911 -----------------------------------

5963 pt. Other direct selling 5911 --------------------------------------------------

5983 Fuel oil dealers 5912 ----------------------------------------------------- 5984 Liquefied petroleum gas (bottled gas) dealers 5912 -------------------------- 5989 Fuel dealers, n.e.c. 5912 -------------------------------------------------- 5992 Florists 5913, 5917

-------------------------------------------------------------

5993 Tobacco stores and stands 5902 ------------------------------------------

5994 News dealers and newsstands 5902 ---------------------------------------

5995 Optical goods stores 5914 ------------------------------------------------

5999 pt. Pet shops 5915 ----------------------------------------------------------

5999 pt. Art dealers 5916 ---------------------------------------------------------

5999 pt. Other retail stores, n.e.c. 5916 ---------------------------------------------

RETAIL TRADEmGEOGRAPHIC AREA SERIES APPENDIX CnnC–1
 JOBNAME: No Job Name PAGE: 1 SESS: 16 OUTPUT: Tue Nov 8 14:10:25 1994 /pssw01/disk2/economic/rc92a/52/14apdxd

Appendix D.

Metropolitan Areas

[Titles and definitions shown for MSA’s, CMSA’s, and PMSA’s are those established by the Office of

Management and Budget as of June 30, 1993]

Abilene, TX MSA

Taylor County, TX

Akron, OH PMSA—see Cleveland–Akron,

OH CMSA

Albany, GA MSA

Dougherty County, GA

Lee County, GA

Albany–Schenectady–Troy, NY MSA

Albany County, NY

Montgomery County, NY

Rensselaer County, NY

Saratoga County, NY

Schenectady County, NY

Schoharie County, NY

Albuquerque, NM MSA

Bernalillo County, NM

Sandoval County, NM

Valencia County, NM

Alexandria, LA MSA

Rapides Parish, LA

Allentown–Bethlehem–Easton, PA MSA

Carbon County, PA

Lehigh County, PA

Northampton County, PA

Altoona, PA MSA

Blair County, PA

Amarillo, TX MSA

Potter County, TX

Randall County, TX

Anchorage, AK MSA

Anchorage Borough, AK

Ann Arbor, MI PMSA—see Detroit–Ann

Arbor–Flint, MI CMSA

Anniston, AL MSA

Calhoun County, AL

Appleton–Oshkosh–Neenah, WI MSA

Calumet County, WI

Outagamie County, WI

Winnebago County, WI

Asheville, NC MSA

Buncombe County, NC

Madison County, NC

Athens, GA MSA

Clarke County, GA

Madison County, GA

Oconee County, GA

Atlanta, GA MSA

Barrow County, GA

Bartow County, GA

Atlanta, GA MSA—Con.

Carroll County, GA

Cherokee County, GA

Clayton County, GA

Cobb County, GA

Coweta County, GA

DeKalb County, GA

Douglas County, GA

Fayette County, GA

Forsyth County, GA

Fulton County, GA

Gwinnett County, GA

Henry County, GA

Newton County, GA

Paulding County, GA

Pickens County, GA

Rockdale County, GA

Spalding County, GA

Walton County, GA

Atlantic–Cape May, NJ PMSA—see

Philadelphia–Wilmington–Atlantic City,

PA–NJ–DE–MD CMSA

Augusta–Aiken, GA–SC MSA

Columbia County, GA

McDuffie County, GA

Richmond County, GA

Aiken County, SC

Edgefield County, SC

Austin–San Marcos, TX MSA

Bastrop County, TX

Caldwell County, TX

Hays County, TX

Travis County, TX

Williamson County, TX

Bakersfield, CA MSA

Kern County, CA

Baltimore, MD PMSA—see Washington–

Baltimore, DC–MD–VA–WV CMSA

Bangor, ME MSA

Penobscot County, ME (part)

Bangor city, ME

Brewer city, ME

Eddington town, ME

Glenburn town, ME

Hampden town, ME

Hermon town, ME

Holden town, ME

Kenduskeag town, ME

Milford town, ME

Old Town city, ME

Orono town, ME

Orrington town, ME

Penobscot Indian Island

Reservation, ME

Veazie town, ME

Bangor, ME MSA—Con.

Waldo County, ME (part)

Winterport town, ME

Barnstable–Yarmouth, MA MSA

Barnstable County, MA (part)

Barnstable city, MA

Brewster town, MA

Chatham town, MA

Dennis town, MA

Eastham town, MA

Harwich town, MA

Mashpee town, MA

Orleans town, MA

Sandwich town, MA

Yarmouth town, MA

Baton Rouge, LA MSA

Ascension Parish, LA

East Baton Rouge Parish, LA

Livingston Parish, LA

West Baton Rouge Parish, LA

Beaumont–Port Arthur, TX MSA

Hardin County, TX

Jefferson County, TX

Orange County, TX

Bellingham, WA MSA

Whatcom County, WA

Benton Harbor, MI MSA

Berrien County, MI

Bergen–Passaic, NJ PMSA—see New

York–Northern New Jersey–Long Island,

NY–NJ–CT–PA CMSA

Billings, MT MSA

Yellowstone County, MT

Biloxi–Gulfport–Pascagoula, MS MSA

Hancock County, MS

Harrison County, MS

Jackson County, MS

Binghamton, NY MSA

Broome County, NY

Tioga County, NY

Birmingham, AL MSA

Blount County, AL

Jefferson County, AL

St. Clair County, AL

Shelby County, AL

Bismarck, ND MSA

Burleigh County, ND

Morton County, ND

Bloomington, IN MSA

Monroe County, IN

RETAIL TRADE—GEOGRAPHIC AREA SERIES APPENDIX D D–1
 JOBNAME: No Job Name PAGE: 2 SESS: 17 OUTPUT: Tue Nov 8 14:10:25 1994 /pssw01/disk2/economic/rc92a/52/14apdxd

Bloomington–Normal, IL MSA

McLean County, IL

Boise City, ID MSA

Ada County, ID

Canyon County, ID

Boston, MA–NH PMSA—see Boston–

Worcester–Lawrence,MA–NH–ME–CTCMSA

Boston–Worcester–Lawrence,MA–NH–ME–CT

CMSA

Boston, MA–NH PMSA

Bristol County, MA (part)

Berkley town, MA

Dighton town, MA

Mansfield town, MA

Norton town, MA

Taunton city, MA

Essex County, MA (part)

Amesbury town, MA

Beverly city, MA

Danvers town, MA

Essex town, MA

Gloucester city, MA

Hamilton town, MA

Ipswich town, MA

Lynn city, MA

Lynnfield town, MA

Manchester town, MA

Marblehead town, MA

Middleton town, MA

Nahant town, MA

Newbury town, MA

Newburyport city, MA

Peabody city, MA

Rockport town, MA

Rowley town, MA

Salem city, MA

Salisbury town, MA

Saugus town, MA

Swampscott town, MA

Topsfield town, MA

Wenham town, MA

Middlesex County, MA (part)

Acton town, MA

Arlington town, MA

Ashland town, MA

Ayer town, MA

Bedford town, MA

Belmont town, MA

Boxborough town, MA

Burlington town, MA

Cambridge city, MA

Carlisle town, MA

Concord town, MA

Everett city, MA

Framingham town, MA

Holliston town, MA

Hopkinton town, MA

Hudson town, MA

Lexington town, MA

Lincoln town, MA

Littleton town, MA

Malden city, MA

Marlborough city, MA

Maynard town, MA

Medford city, MA

Melrose city, MA

Natick town, MA

Newton city, MA

North Reading town, MA

Reading town, MA

Sherborn town, MA

Shirley town, MA

Somerville city, MA

Stoneham town, MA

Boston–Worcester–Lawrence,MA–NH–ME–CT

CMSA—Con.

Boston, MA–NH PMSA—Con.

Middlesex County, MA (part)—Con.

Stow town, MA

Sudbury town, MA

Townsend town, MA

Wakefield town, MA

Waltham city, MA

Watertown city, MA

Wayland town, MA

Weston town, MA

Wilmington town, MA

Winchester town, MA

Woburn city, MA

Norfolk County, MA (part)

Bellingham town, MA

Braintree town, MA

Brookline town, MA

Canton town, MA

Cohasset town, MA

Dedham town, MA

Dover town, MA

Foxborough town, MA

Franklin city, MA

Holbrook town, MA

Medfield town, MA

Medway town, MA

Millis town, MA

Milton town, MA

Needham town, MA

Norfolk town, MA

Norwood town, MA

Plainville town, MA

Quincy city, MA

Randolph town, MA

Sharon town, MA

Stoughton town, MA

Walpole town, MA

Wellesley town, MA

Westwood town, MA

Weymouth town, MA

Wrentham town, MA

Plymouth County, MA (part)

Carver town, MA

Duxbury town, MA

Hanover town, MA

Hingham town, MA

Hull town, MA

Kingston town, MA

Marshfield town, MA

Norwell town, MA

Pembroke town, MA

Plymouth town, MA

Rockland town, MA

Scituate town, MA

Wareham town, MA

Suffolk County, MA

Boston city, MA

Chelsea city, MA

Revere city, MA

Winthrop town, MA

Worcester County, MA (part)

Berlin town, MA

Blackstone town, MA

Bolton town, MA

Harvard town, MA

Hopedale town, MA

Lancaster town, MA

Mendon town, MA

Milford town, MA

Millville town, MA

Southborough town, MA

Upton town, MA

Boston–Worcester–Lawrence,MA–NH–ME–CT

CMSA—Con.

Boston, MA–NH PMSA—Con.

Rockingham County, NH (part)

Seabrook town, NH

South Hampton town, NH

Brockton, MA PMSA

Bristol County, MA (part)

Easton town, MA

Raynham town, MA

Norfolk County, MA (part)

Avon town, MA

Plymouth County, MA (part)

Abington town, MA

Bridgewater town, MA

Brockton city, MA

East Bridgewater town, MA

Halifax town, MA

Hanson town, MA

Lakeville town, MA

Middleborough town, MA

Plympton town, MA

West Bridgewater town, MA

Whitman town, MA

Fitchburg–Leominster, MA PMSA

Middlesex County, MA (part)

Ashby town, MA

Worcester County, MA (part)

Ashburnham town, MA

Fitchburg city, MA

Gardner city, MA

Leominster city, MA

Lunenburg town, MA

Templeton town, MA

Westminster town, MA

Winchendon town, MA

Lawrence, MA–NH PMSA

Essex County, MA (part)

Andover town, MA

Boxford town, MA

Georgetown town, MA

Groveland town, MA

Haverhill city, MA

Lawrence city, MA

Merrimac town, MA

Methuen city, MA

North Andover town, MA

West Newbury town, MA

Rockingham County, NH (part)

Atkinson town, NH

Chester town, NH

Danville town, NH

Derry town, NH

Fremont town, NH

Hampstead town, NH

Kingston town, NH

Newton town, NH

Plaistow town, NH

Raymond town, NH

Salem town, NH

Sandown town, NH

Windham town, NH

Lowell, MA–NH PMSA

Middlesex County, MA (part)

Billerica town, MA

Chelmsford town, MA

Dracut town, MA

Dunstable town, MA

Groton town, MA

Lowell city, MA

Pepperell town, MA

Tewksbury town, MA

Tyngsborough town, MA

Westford town, MA

Hillsborough County, NH (part)

Pelham town, NH

D–2 APPENDIX D RETAIL TRADE—GEOGRAPHIC AREA SERIES
 JOBNAME: No Job Name PAGE: 3 SESS: 16 OUTPUT: Tue Nov 8 14:10:25 1994 /pssw01/disk2/economic/rc92a/52/14apdxd

Boston–Worcester–Lawrence,MA–NH–ME–CT

CMSA—Con.

Manchester, NH PMSA

Hillsborough County, NH (part)

Bedford town, NH

Goffstown town, NH

Manchester city, NH

Weare town, NH

Merrimack County, NH (part)

Allenstown town, NH

Hooksett town, NH

Rockingham County, NH (part)

Auburn town, NH

Candia town, NH

Londonderry town, NH

Nashua, NH PMSA

Hillsborough County, NH (part)

Amherst town, NH

Brookline town, NH

Greenville town, NH

Hollis town, NH

Hudson town, NH

Litchfield town, NH

Mason town, NH

Merrimack town, NH

Milford town, NH

Mont Vernon town, NH

Nashua city, NH

New Ipswich town, NH

Wilton town, NH

New Bedford, MA PMSA

Bristol County, MA (part)

Acushnet town, MA

Dartmouth town, MA

Fairhaven town, MA

Freetown town, MA

New Bedford city, MA

Plymouth County, MA (part)

Marion town, MA

Mattapoisett town, MA

Rochester town, MA

Portsmouth–Rochester, NH–ME PMSA

York County, ME (part)

Berwick town, ME

Eliot town, ME

Kittery town, ME

South Berwick town, ME

York town, ME

Rockingham County, NH (part)

Brentwood town, NH

East Kingston town, NH

Epping town, NH

Exeter town, NH

Greenland town, NH

Hampton town, NH

Hampton Falls town, NH

Kensington town, NH

New Castle town, NH

Newfields town, NH

Newington town, NH

Newmarket town, NH

North Hampton town, NH

Portsmouth city, NH

Rye town, NH

Stratham town, NH

Strafford County, NH (part)

Barrington town, NH

Dover city, NH

Durham town, NH

Farmington town, NH

Lee town, NH

Madbury town, NH

Milton town, NH

Rochester city, NH

Rollinsford town, NH

Somersworth city, NH

Boston–Worcester–Lawrence,MA–NH–ME–CT

CMSA—Con.

Worcester, MA–CT PMSA

Windham County, CT (part)

Thompson town, CT

Hampden County, MA (part)

Holland town, MA

Worcester County, MA (part)

Auburn town, MA

Barre town, MA

Boylston town, MA

Brookfield town, MA

Charlton town, MA

Clinton town, MA

Douglas town, MA

Dudley town, MA

East Brookfield town, MA

Grafton town, MA

Holden town, MA

Leicester town, MA

Millbury town, MA

Northborough town, MA

Northbridge town, MA

North Brookfield town, MA

Oakham town, MA

Oxford town, MA

Paxton town, MA

Princeton town, MA

Rutland town, MA

Shrewsbury town, MA

Southbridge town, MA

Spencer town, MA

Sterling town, MA

Sturbridge town, MA

Sutton town, MA

Uxbridge town, MA

Webster town, MA

Westborough town, MA

West Boylston town, MA

West Brookfield town, MA

Worcester city, MA

Boulder–Longmont, CO PMSA—see

Denver– Boulder–Greeley, CO CMSA

Brazoria, TX PMSA—see Houston–

Galveston–Brazoria, TX CMSA

Bremerton, WA PMSA—see Seattle–

Tacoma– Bremerton, WA CMSA

Bridgeport, CT PMSA—see New York–

Northern New Jersey–Long Island, NY–

NJ–CT–PA CMSA

Brockton, MA PMSA—see Boston–

Worcester–Lawrence,MA–NH–ME–CTCMSA

Brownsville–Harlingen–San Benito, TX MSA

Cameron County, TX

Bryan–College Station, TX MSA

Brazos County, TX

Buffalo–Niagara Falls, NY MSA

Erie County, NY

Niagara County, NY

Burlington, VT MSA

Chittenden County, VT (part)

Burlington city, VT

Charlotte town, VT

Colchester town, VT

Essex Junction village, VT

Essex town balance, VT

Hinesburg town, VT

Jericho town, VT

Jericho village, VT

Milton town, VT

Milton village, VT

Richmond town, VT

St. George town, VT

Shelburne town, VT

Burlington, VT MSA—Con.

Chittenden County, VT (part)—Con.

South Burlington city, VT

Williston town, VT

Winooski city, VT

Franklin County, VT (part)

Fairfax town, VT

Georgia town, VT

St. Albans city, VT

St. Albans town, VT

Swanton town, VT

Swanton village, VT

Grand Isle County, VT (part)

Grand Isle town, VT

South Hero town, VT

Canton–Massillon, OH MSA

Carroll County, OH

Stark County, OH

Casper, WY MSA

Natrona County, WY

Cedar Rapids, IA MSA

Linn County, IA

Champaign–Urbana, IL MSA

Champaign County, IL

Charleston–North Charleston, SC MSA

Berkeley County, SC

Charleston County, SC

Dorchester County, SC

Charleston, WV MSA

Kanawha County, WV

Putnam County, WV

Charlotte–Gastonia–Rock Hill, NC–SC MSA

Cabarrus County, NC

Gaston County, NC

Lincoln County, NC

Mecklenburg County, NC

Rowan County, NC

Union County, NC

York County, SC

Charlottesville, VA MSA

Albemarle County, VA

Fluvanna County, VA

Greene County, VA

Charlottesville city, VA

Chattanooga, TN–GA MSA

Catoosa County, GA

Dade County, GA

Walker County, GA

Hamilton County, TN

Marion County, TN

Cheyenne, WY MSA

Laramie County, WY

Chicago, IL PMSA—see Chicago–Gary–

Kenosha, IL–IN–WI CMSA

Chicago–Gary–Kenosha, IL–IN–WI CMSA

Chicago, IL PMSA

Cook County, IL

DeKalb County, IL

DuPage County, IL

Grundy County, IL

Kane County, IL

Kendall County, IL

Lake County, IL

McHenry County, IL

Will County, IL

Gary, IN PMSA

Lake County, IN

Porter County, IN

Kankakee, IL PMSA

Kankakee County, IL

RETAIL TRADE—GEOGRAPHIC AREA SERIES APPENDIX D D–3
 JOBNAME: No Job Name PAGE: 4 SESS: 16 OUTPUT: Tue Nov 8 14:10:25 1994 /pssw01/disk2/economic/rc92a/52/14apdxd

Chicago–Gary–Kenosha,IL–IN–WICMSA—Con.

Kenosha, WI PMSA

Kenosha County, WI

Chico–Paradise, CA MSA

Butte County, CA

Cincinnati, OH–KY–IN PMSA—see

Cincinnati–Hamilton, OH–KY–IN CMSA

Cincinnati–Hamilton, OH–KY–IN CMSA

Cincinnati, OH–KY–IN PMSA

Dearborn County, IN

Ohio County, IN

Boone County, KY

Campbell County, KY

Gallatin County, KY

Grant County, KY

Kenton County, KY

Pendleton County, KY

Brown County, OH

Clermont County, OH

Hamilton County, OH

Warren County, OH

Hamilton–Middletown, OH PMSA

Butler County, OH

Clarksville–Hopkinsville, TN–KY MSA

Christian County, KY

Montgomery County, TN

Cleveland–Lorain–Elyria, OH PMSA—see

Cleveland–Akron, OH CMSA

Cleveland–Akron, OH CMSA

Akron, OH PMSA

Portage County, OH

Summit County, OH

Cleveland–Lorain–Elyria, OH PMSA

Ashtabula County, OH

Cuyahoga County, OH

Geauga County, OH

Lake County, OH

Lorain County, OH

Medina County, OH

Colorado Springs, CO MSA

El Paso County, CO

Columbia, MO MSA

Boone County, MO

Columbia, SC MSA

Lexington County, SC

Richland County, SC

Columbus, GA–AL MSA

Russell County, AL

Chattahoochee County, GA

Harris County, GA

Muscogee County, GA

Columbus, OH MSA

Delaware County, OH

Fairfield County, OH

Franklin County, OH

Licking County, OH

Madison County, OH

Pickaway County, OH

Corpus Christi, TX MSA

Nueces County, TX

San Patricio County, TX

Cumberland, MD–WV MSA

Allegany County, MD

Mineral County, WV

Dallas, TX PMSA—see Dallas–Fort Worth,

TX CMSA

Dallas–Fort Worth, TX CMSA

Dallas, TX PMSA

Collin County, TX

Dallas County, TX

Denton County, TX

Ellis County, TX

Henderson County, TX

Hunt County, TX

Kaufman County, TX

Rockwall County, TX

Fort Worth–Arlington, TX PMSA

Hood County, TX

Johnson County, TX

Parker County, TX

Tarrant County, TX

Danbury, CT PMSA—see New York–

Northern New Jersey–Long Island, NY–

NJ–CT–PA CMSA

Danville, VA MSA

Pittsylvania County, VA

Danville city, VA

Davenport–Moline–Rock Island, IA–IL MSA

Henry County, IL

Rock Island County, IL

Scott County, IA

Dayton–Springfield, OH MSA

Clark County, OH

Greene County, OH

Miami County, OH

Montgomery County, OH

Daytona Beach, FL MSA

Flagler County, FL

Volusia County, FL

Decatur, AL MSA

Lawrence County, AL

Morgan County, AL

Decatur, IL MSA

Macon County, IL

Denver, CO PMSA—see Denver–Boulder–

Greeley, CO CMSA

Denver–Boulder–Greeley, CO CMSA

Boulder–Longmont, CO PMSA

Boulder County, CO

Denver, CO PMSA

Adams County, CO

Arapahoe County, CO

Denver County, CO

Douglas County, CO

Jefferson County, CO

Greeley, CO PMSA

Weld County, CO

Des Moines, IA MSA

Dallas County, IA

Polk County, IA

Warren County, IA

Detroit, MI PMSA—see Detroit–Ann

Arbor–Flint, MI CMSA

Detroit–Ann Arbor–Flint, MI CMSA

Ann Arbor, MI PMSA

Lenawee County, MI

Livingston County, MI

Washtenaw County, MI

Detroit, MI PMSA

Lapeer County, MI

Macomb County, MI

Monroe County, MI

Oakland County, MI

St. Clair County, MI

Wayne County, MI

Detroit–Ann Arbor–Flint, MI CMSA—Con.

Flint, MI PMSA

Genesee County, MI

Dothan, AL MSA

Dale County, AL

Houston County, AL

Dover, DE MSA

Kent County, DE

Dubuque, IA MSA

Dubuque County, IA

Duluth–Superior, MN–WI MSA

St. Louis County, MN

Douglas County, WI

Dutchess County, NY PMSA—see New

York–Northern New Jersey–Long Island,

NY–NJ–CT–PA CMSA

Eau Claire, WI MSA

Chippewa County, WI

Eau Claire County, WI

El Paso, TX MSA

El Paso County, TX

Elkhart–Goshen, IN MSA

Elkhart County, IN

Elmira, NY MSA

Chemung County, NY

Enid, OK MSA

Garfield County, OK

Erie, PA MSA

Erie County, PA

Eugene–Springfield, OR MSA

Lane County, OR

Evansville–Henderson, IN–KY MSA

Posey County, IN

Vanderburgh County, IN

Warrick County, IN

Henderson County, KY

Fargo–Moorhead, ND–MN MSA

Clay County, MN

Cass County, ND

Fayetteville, NC MSA

Cumberland County, NC

Fayetteville–Springdale–Rogers, AR MSA

Benton County, AR

Washington County, AR

Fitchburg–Leominster, MA PMSA—see

Boston–Worcester–Lawrence, MA–NH–

ME–CT CMSA

Flint, MI PMSA—see Detroit–Ann

Arbor–Flint, MI CMSA

Florence, AL MSA

Colbert County, AL

Lauderdale County, AL

Florence, SC MSA

Florence County, SC

Fort Collins–Loveland, CO MSA

Larimer County, CO

Fort Lauderdale, FL PMSA—see Miami–Fort

Lauderdale, FL CMSA

Fort Myers–Cape Coral, FL MSA

Lee County, FL

Fort Pierce–Port St. Lucie, FL MSA

Martin County, FL

St. Lucie County, FL

D–4 APPENDIX D RETAIL TRADE—GEOGRAPHIC AREA SERIES
 JOBNAME: No Job Name PAGE: 5 SESS: 16 OUTPUT: Tue Nov 8 14:10:25 1994 /pssw01/disk2/economic/rc92a/52/14apdxd

Fort Smith, AR–OK MSA

Crawford County, AR

Sebastian County, AR

Sequoyah County, OK

Fort Walton Beach, FL MSA

Okaloosa County, FL

Fort Wayne, IN MSA

Adams County, IN

Allen County, IN

De Kalb County, IN

Huntington County, IN

Wells County, IN

Whitley County, IN

Fort Worth–Arlington, TX PMSA—see

Dallas–Fort Worth, TX CMSA

Fresno, CA MSA

Fresno County, CA

Madera County, CA

Gadsden, AL MSA

Etowah County, AL

Gainesville, FL MSA

Alachua County, FL

Galveston–Texas City, TX PMSA—see

Houston–Galveston–Brazoria, TX CMSA

Gary, IN PMSA—see Chicago–Gary–

Kenosha, IL–IN–WI CMSA

Glens Falls, NY MSA

Warren County, NY

Washington County, NY

Goldsboro, NC MSA

Wayne County, NC

Grand Forks, ND–MN MSA

Polk County, MN

Grand Forks County, ND

Grand Rapids–Muskegon–Holland, MI MSA

Allegan County, MI

Kent County, MI

Muskegon County, MI

Ottawa County, MI

Great Falls, MT MSA

Cascade County, MT

Greeley, CO PMSA—see Denver–Boulder–

Greeley, CO CMSA

Green Bay, WI MSA

Brown County, WI

Greensboro–Winston-Salem–High Point, NC

MSA

Alamance County, NC

Davidson County, NC

Davie County, NC

Forsyth County, NC

Guilford County, NC

Randolph County, NC

Stokes County, NC

Yadkin County, NC

Greenville, NC MSA

Pitt County, NC

Greenville–Spartanburg–Anderson, SC MSA

Anderson County, SC

Cherokee County, SC

Greenville County, SC

Pickens County, SC

Spartanburg County, SC

Hagerstown, MD PMSA—see Washington–

Baltimore, DC–MD–VA–WV CMSA

Hamilton–Middletown, OH PMSA—see

Cincinnati–Hamilton, OH–KY–IN CMSA

Harrisburg–Lebanon–Carlisle, PA MSA

Cumberland County, PA

Dauphin County, PA

Lebanon County, PA

Perry County, PA

Hartford, CT MSA

Hartford County, CT (part)

Avon town, CT

Berlin town, CT

Bloomfield town, CT

Bristol city, CT

Burlington town, CT

Canton town, CT

East Granby town, CT

East Hartford town, CT

East Windsor town, CT

Enfield town, CT

Farmington town, CT

Glastonbury town, CT

Granby town, CT

Hartford city, CT

Manchester town, CT

Marlborough town, CT

New Britain city, CT

Newington town, CT

Plainville town, CT

Rocky Hill town, CT

Simsbury town, CT

Southington town, CT

South Windsor town, CT

Suffield town, CT

West Hartford town, CT

Wethersfield town, CT

Windsor town, CT

Windsor Locks town, CT

Litchfield County, CT (part)

Barkhamsted town, CT

Harwinton town, CT

New Hartford town, CT

Plymouth town, CT

Winchester town, CT

Middlesex County, CT (part)

Cromwell town, CT

Durham town, CT

East Haddam town, CT

East Hampton town, CT

Haddam town, CT

Middlefield town, CT

Middletown city, CT

Portland town, CT

New London County, CT (part)

Colchester town, CT

Lebanon town, CT

Tolland County, CT (part)

Andover town, CT

Bolton town, CT

Columbia town, CT

Coventry town, CT

Ellington town, CT

Hebron town, CT

Mansfield town, CT

Somers town, CT

Stafford town, CT

Tolland town, CT

Vernon town, CT

Willington town, CT

Windham County, CT (part)

Ashford town, CT

Chaplin town, CT

Windham town, CT

Hickory–Morganton, NC MSA

Alexander County, NC

Burke County, NC

Caldwell County, NC

Catawba County, NC

Honolulu, HI MSA

Honolulu County, HI

Houma, LA MSA

Lafourche Parish, LA

Terrebonne Parish, LA

Houston,TXPMSA—seeHouston–Galveston–

Brazoria, TX CMSA

Houston–Galveston–Brazoria, TX CMSA

Brazoria, TX PMSA

Brazoria County, TX

Galveston–Texas City, TX PMSA

Galveston County, TX

Houston, TX PMSA

Chambers County, TX

Fort Bend County, TX

Harris County, TX

Liberty County, TX

Montgomery County, TX

Waller County, TX

Huntington–Ashland, WV–KY–OH MSA

Boyd County, KY

Carter County, KY

Greenup County, KY

Lawrence County, OH

Cabell County, WV

Wayne County, WV

Huntsville, AL MSA

Limestone County, AL

Madison County, AL

Indianapolis, IN MSA

Boone County, IN

Hamilton County, IN

Hancock County, IN

Hendricks County, IN

Johnson County, IN

Madison County, IN

Marion County, IN

Morgan County, IN

Shelby County, IN

Iowa City, IA MSA

Johnson County, IA

Jackson, MI MSA

Jackson County, MI

Jackson, MS MSA

Hinds County, MS

Madison County, MS

Rankin County, MS

Jackson, TN MSA

Madison County, TN

Jacksonville, FL MSA

Clay County, FL

Duval County, FL

Nassau County, FL

St. Johns County, FL

Jacksonville, NC MSA

Onslow County, NC

Jamestown, NY MSA

Chautauqua County, NY

Janesville–Beloit, WI MSA

Rock County, WI

RETAIL TRADE—GEOGRAPHIC AREA SERIES APPENDIX D D–5
 JOBNAME: No Job Name PAGE: 6 SESS: 16 OUTPUT: Tue Nov 8 14:10:25 1994 /pssw01/disk2/economic/rc92a/52/14apdxd

Jersey City, NJ PMSA—see New York–

Northern New Jersey–Long Island,

NY–NJ–CT–PA CMSA

Johnson City–Kingsport–Bristol, TN–VA

MSA

Carter County, TN

Hawkins County, TN

Sullivan County, TN

Unicoi County, TN

Washington County, TN

Scott County, VA

Washington County, VA

Bristol city, VA

Johnstown, PA MSA

Cambria County, PA

Somerset County, PA

Joplin, MO MSA

Jasper County, MO

Newton County, MO

Kalamazoo–Battle Creek, MI MSA

Calhoun County, MI

Kalamazoo County, MI

Van Buren County, MI

Kankakee, IL PMSA—see Chicago–Gary–

Kenosha, IL–IN–WI CMSA

Kansas City, MO–KS MSA

Johnson County, KS

Leavenworth County, KS

Miami County, KS

Wyandotte County, KS

Cass County, MO

Clay County, MO

Clinton County, MO

Jackson County, MO

Lafayette County, MO

Platte County, MO

Ray County, MO

Kenosha, WI PMSA—see Chicago–Gary–

Kenosha, IL–IN–WI CMSA

Killeen–Temple, TX MSA

Bell County, TX

Coryell County, TX

Knoxville, TN MSA

Anderson County, TN

Blount County, TN

Knox County, TN

Loudon County, TN

Sevier County, TN

Union County, TN

Kokomo, IN MSA

Howard County, IN

Tipton County, IN

La Crosse, WI–MN MSA

Houston County, MN

La Crosse County, WI

Lafayette, LA MSA

Acadia Parish, LA

Lafayette Parish, LA

St. Landry Parish, LA

St. Martin Parish, LA

Lafayette, IN MSA

Clinton County, IN

Tippecanoe County, IN

Lake Charles, LA MSA

Calcasieu Parish, LA

Lakeland–Winter Haven, FL MSA

Polk County, FL

Lancaster, PA MSA

Lancaster County, PA

Lansing–East Lansing, MI MSA

Clinton County, MI

Eaton County, MI

Ingham County, MI

Laredo, TX MSA

Webb County, TX

Las Cruces, NM MSA

Dona Ana County, NM

Las Vegas, NV–AZ MSA

Mohave County, AZ

Clark County, NV

Nye County, NV

Lawrence, KS MSA

Douglas County, KS

Lawrence, MA–NH PMSA—see Boston–

Worcester–Lawrence, MA–NH–ME–CT

CMSA

Lawton, OK MSA

Comanche County, OK

Lewiston–Auburn, ME MSA

Androscoggin County, ME (part)

Auburn city, ME

Greene town, ME

Lewiston city, ME

Lisbon town, ME

Mechanic Falls town, ME

Poland town, ME

Sabattus town, ME

Turner town, ME

Wales town, ME

Lexington, KY MSA

Bourbon County, KY

Clark County, KY

Fayette County, KY

Jessamine County, KY

Madison County, KY

Scott County, KY

Woodford County, KY

Lima, OH MSA

Allen County, OH

Auglaize County, OH

Lincoln, NE MSA

Lancaster County, NE

Little Rock–North Little Rock, AR MSA

Faulkner County, AR

Lonoke County, AR

Pulaski County, AR

Saline County, AR

Longview–Marshall, TX MSA

Gregg County, TX

Harrison County, TX

Upshur County, TX

Los Angeles–Riverside–Orange County, CA

CMSA

Los Angeles–Long Beach, CA PMSA

Los Angeles County, CA

Orange County, CA PMSA

Orange County, CA

Riverside–San Bernardino, CA PMSA

Riverside County, CA

San Bernardino County, CA

Ventura, CA PMSA

Ventura County, CA

Los Angeles–Long Beach, CA PMSA—see

Los Angeles–Riverside–Orange County,

CA CMSA

Louisville, KY–IN MSA

Clark County, IN

Floyd County, IN

Harrison County, IN

Scott County, IN

Bullitt County, KY

Jefferson County, KY

Oldham County, KY

Lowell, MA–NH PMSA—see Boston–

Worcester–Lawrence,MA–NH–ME–CTCMSA

Lubbock, TX MSA

Lubbock County, TX

Lynchburg, VA MSA

Amherst County, VA

Bedford County, VA

Campbell County, VA

Bedford city, VA

Lynchburg city, VA

Macon, GA MSA

Bibb County, GA

Houston County, GA

Jones County, GA

Peach County, GA

Twiggs County, GA

Madison, WI MSA

Dane County, WI

Manchester, NH PMSA—see Boston–

Worcester–Lawrence,MA–NH–ME–CTCMSA

Mansfield, OH MSA

Crawford County, OH

Richland County, OH

McAllen–Edinburg–Mission, TX MSA

Hidalgo County, TX

Medford–Ashland, OR MSA

Jackson County, OR

Melbourne–Titusville–Palm Bay, FL MSA

Brevard County, FL

Memphis, TN–AR–MS MSA

Crittenden County, AR

DeSoto County, MS

Fayette County, TN

Shelby County, TN

Tipton County, TN

Merced, CA MSA

Merced County, CA

Miami–Fort Lauderdale, FL CMSA

Fort Lauderdale, FL PMSA

Broward County, FL

Miami, FL PMSA

Dade County, FL

Miami, FL PMSA—see Miami–Fort

Lauderdale, FL CMSA

Middlesex–Somerset–Hunterdon, NJ

PMSA—see New York–Northern New

Jersey–Long Island, NY–NJ–CT–PA CMSA

Milwaukee–Waukesha, WI PMSA—see

Milwaukee–Racine, WI CMSA

Milwaukee–Racine, WI CMSA

Milwaukee–Waukesha, WI PMSA

Milwaukee County, WI

Ozaukee County, WI

Washington County, WI

Waukesha County, WI

D–6 APPENDIX D RETAIL TRADE—GEOGRAPHIC AREA SERIES
 JOBNAME: No Job Name PAGE: 7 SESS: 16 OUTPUT: Tue Nov 8 14:10:25 1994 /pssw01/disk2/economic/rc92a/52/14apdxd

Milwaukee–Racine, WI CMSA—Con.

Racine, WI PMSA

Racine County, WI

Minneapolis–St. Paul, MN–WI MSA

Anoka County, MN

Carver County, MN

Chisago County, MN

Dakota County, MN

Hennepin County, MN

Isanti County, MN

Ramsey County, MN

Scott County, MN

Sherburne County, MN

Washington County, MN

Wright County, MN

Pierce County, WI

St. Croix County, WI

Mobile, AL MSA

Baldwin County, AL

Mobile County, AL

Modesto, CA MSA

Stanislaus County, CA

Monmouth–Ocean, NJ PMSA—see New

York–Northern New Jersey–Long Island,

NY–NJ–CT–PA CMSA

Monroe, LA MSA

Ouachita Parish, LA

Montgomery, AL MSA

Autauga County, AL

Elmore County, AL

Montgomery County, AL

Muncie, IN MSA

Delaware County, IN

Myrtle Beach, SC MSA

Horry County, SC

Naples, FL MSA

Collier County, FL

Nashua, NH PMSA—see Boston–

Worcester–Lawrence,MA–NH–ME–CTCMSA

Nashville, TN MSA

Cheatham County, TN

Davidson County, TN

Dickson County, TN

Robertson County, TN

Rutherford County, TN

Sumner County, TN

Williamson County, TN

Wilson County, TN

Nassau–Suffolk, NY PMSA—see New

York–Northern New Jersey–Long Island,

NY–NJ–CT–PA CMSA

New Bedford, MA PMSA—see Boston–

Worcester–Lawrence,MA–NH–ME–CTCMSA

New Haven–Meriden, CT PMSA—see New

York–Northern New Jersey–Long Island,

NY–NJ–CT–PA CMSA

New London–Norwich, CT–RI MSA

Middlesex County, CT (part)

Fenwick borough, CT

Old Saybrook town, CT

New London County, CT (part)

Bozrah town, CT

East Lyme town, CT

Franklin town, CT

Griswold town balance, CT

Groton city, CT

Groton town balance, CT

New London–Norwich, CT–RI MSA—Con.

New London County, CT (part)—Con.

Groton Long Point borough, CT

Jewett City borough, CT

Ledyard town, CT

Lisbon town, CT

Montville town, CT

New London city, CT

North Stonington town, CT

Norwich city, CT

Old Lyme town, CT

Preston town, CT

Salem town, CT

Sprague town, CT

Stonington borough, CT

Stonington town, CT

Waterford town, CT

Windham County, CT (part)

Canterbury town, CT

Plainfield town, CT

Washington County, RI (part)

Hopkinton town, RI

Westerly town, RI

New Orleans, LA MSA

Jefferson Parish, LA

Orleans Parish, LA

Plaquemines Parish, LA

St. Bernard Parish, LA

St. Charles Parish, LA

St. James Parish, LA

St. John the Baptist Parish, LA

St. Tammany Parish, LA

New York, NY PMSA—see New York–

Northern New Jersey–Long Island,

NY–NJ–CT–PA CMSA

New York–Northern New Jersey–Long

Island, NY–NJ–CT–PA CMSA

Bergen–Passaic, NJ PMSA

Bergen County, NJ

Passaic County, NJ

Bridgeport, CT PMSA

Fairfield County, CT (part)

Bridgeport city, CT

Easton town, CT

Fairfield town, CT

Monroe town, CT

Shelton city, CT

Stratford town, CT

Trumbull town, CT

New Haven County, CT (part)

Ansonia city, CT

Beacon Falls town, CT

Derby city, CT

Milford city (balance), CT

Oxford town, CT

Seymour town, CT

Woodmont borough, CT

Danbury, CT PMSA

Fairfield County, CT (part)

Bethel town, CT

Brookfield town, CT

Danbury city, CT

New Fairfield town, CT

Newtown borough, CT

Newtown town, CT

Redding town, CT

Ridgefield town, CT

Sherman town, CT

Litchfield County, CT (part)

Bridgewater town, CT

New Milford town, CT

Roxbury town, CT

Washington town, CT

Dutchess County, NY PMSA

Dutchess County, NY

New York–Northern New Jersey–Long

Island, NY–NJ–CT–PA CMSA—Con.

Jersey City, NJ PMSA

Hudson County, NJ

Middlesex–Somerset–Hunterdon, NJ PMSA

Hunterdon County, NJ

Middlesex County, NJ

Somerset County, NJ

Monmouth–Ocean, NJ PMSA

Monmouth County, NJ

Ocean County, NJ

Nassau–Suffolk, NY PMSA

Nassau County, NY

Suffolk County, NY

New Haven–Meriden, CT PMSA

Middlesex County, CT (part)

Clinton town, CT

Killingworth town, CT

New Haven County, CT (part)

Bethany town, CT

Branford town, CT

Cheshire town, CT

East Haven town, CT

Guilford town, CT

Hamden town, CT

Madison town, CT

Meriden city, CT

New Haven city, CT

North Branford town, CT

North Haven town, CT

Orange town, CT

Wallingford town, CT

West Haven city, CT

Woodbridge town, CT

New York, NY PMSA

Bronx County, NY

Kings County, NY

New York County, NY

Putnam County, NY

Queens County, NY

Richmond County, NY

Rockland County, NY

Westchester County, NY

Newark, NJ PMSA

Essex County, NJ

Morris County, NJ

Sussex County, NJ

Union County, NJ

Warren County, NJ

Newburgh, NY–PA PMSA

Orange County, NY

Pike County, PA

Stamford–Norwalk, CT PMSA

Fairfield County, CT (part)

Darien town, CT

Greenwich town, CT

New Canaan town, CT

Norwalk city, CT

Stamford city, CT

Weston town, CT

Westport town, CT

Wilton town, CT

Trenton, NJ PMSA

Mercer County, NJ

Waterbury, CT PMSA

Litchfield County, CT (part)

Bethlehem town, CT

Thomaston town, CT

Watertown town, CT

Woodbury town, CT

New Haven County, CT (part)

Middlebury town, CT

Naugatuck borough, CT

Prospect town, CT

Southbury town, CT

Waterbury city, CT

Wolcott town, CT

RETAIL TRADE—GEOGRAPHIC AREA SERIES APPENDIX D D–7
 JOBNAME: No Job Name PAGE: 8 SESS: 16 OUTPUT: Tue Nov 8 14:10:25 1994 /pssw01/disk2/economic/rc92a/52/14apdxd

Newark, NJ PMSA—see New York–

Northern New Jersey–Long Island,

NY–NJ–CT–PA CMSA

Newburgh, NY–PA PMSA—see New

York–Northern New Jersey–Long Island,

NY–NJ–CT–PA CMSA

Norfolk–VirginiaBeach–NewportNews,VA–NC

MSA

Currituck County, NC

Gloucester County, VA

Isle of Wight County, VA

James City County, VA

Mathews County, VA

York County, VA

Chesapeake city, VA

Hampton city, VA

Newport News city, VA

Norfolk city, VA

Poquoson city, VA

Portsmouth city, VA

Suffolk city, VA

Virginia Beach city, VA

Williamsburg city, VA

Oakland, CA PMSA—see San Francisco–

Oakland–San Jose, CA CMSA

Ocala, FL MSA

Marion County, FL

Odessa–Midland, TX MSA

Ector County, TX

Midland County, TX

Oklahoma City, OK MSA

Canadian County, OK

Cleveland County, OK

Logan County, OK

McClain County, OK

Oklahoma County, OK

Pottawatomie County, OK

Olympia, WA PMSA—see Seattle–Tacoma–

Bremerton, WA CMSA

Omaha, NE–IA MSA

Pottawattamie County, IA

Cass County, NE

Douglas County, NE

Sarpy County, NE

Washington County, NE

Orange County, CA PMSA—see Los

Angeles–Riverside–OrangeCounty,CACMSA

Orlando, FL MSA

Lake County, FL

Orange County, FL

Osceola County, FL

Seminole County, FL

Owensboro, KY MSA

Daviess County, KY

Panama City, FL MSA

Bay County, FL

Parkersburg–Marietta, WV–OH MSA

Washington County, OH

Wood County, WV

Pensacola, FL MSA

Escambia County, FL

Santa Rosa County, FL

Peoria–Pekin, IL MSA

Peoria County, IL

Tazewell County, IL

Woodford County, IL

Philadelphia, PA–NJ PMSA—see

Philadelphia–Wilmington–Atlantic City,

PA–NJ–DE–MD CMSA

Philadelphia–Wilmington–Atlantic City,

PA–NJ–DE–MD CMSA

Atlantic–Cape May, NJ PMSA

Atlantic County, NJ

Cape May County, NJ

Philadelphia, PA–NJ PMSA

Burlington County, NJ

Camden County, NJ

Gloucester County, NJ

Salem County, NJ

Bucks County, PA

Chester County, PA

Delaware County, PA

Montgomery County, PA

Philadelphia County, PA

Vineland–Millville–Bridgeton, NJ PMSA

Cumberland County, NJ

Wilmington–Newark, DE–MD PMSA

New Castle County, DE

Cecil County, MD

Phoenix–Mesa, AZ MSA

Maricopa County, AZ

Pinal County, AZ

Pine Bluff, AR MSA

Jefferson County, AR

Pittsburgh, PA MSA

Allegheny County, PA

Beaver County, PA

Butler County, PA

Fayette County, PA

Washington County, PA

Westmoreland County, PA

Pittsfield, MA MSA

Berkshire County, MA (part)

Adams town, MA

Cheshire town, MA

Dalton town, MA

Hinsdale town, MA

Lanesborough town, MA

Lee town, MA

Lenox town, MA

Pittsfield city, MA

Richmond town, MA

Stockbridge town, MA

Portland, ME MSA

Cumberland County, ME (part)

Cape Elizabeth town, ME

Casco town, ME

Cumberland town, ME

Falmouth town, ME

Freeport town, ME

Gorham town, ME

Gray town, ME

North Yarmouth town, ME

Portland city, ME

Raymond town, ME

Scarborough town, ME

South Portland city, ME

Standish town, ME

Westbrook city, ME

Windham town, ME

Yarmouth town, ME

York County, ME (part)

Buxton town, ME

Hollis town, ME

Limington town, ME

Old Orchard Beach town, ME

Portland–Vancouver, OR–WA PMSA—see

Portland–Salem, OR–WA CMSA

Portland–Salem, OR–WA CMSA

Portland–Vancouver, OR–WA PMSA

Clackamas County, OR

Columbia County, OR

Multnomah County, OR

Washington County, OR

Yamhill County, OR

Clark County, WA

Salem, OR PMSA

Marion County, OR

Polk County, OR

Portsmouth–Rochester, NH–ME PMSA—see

Boston–Worcester–Lawrence,MA–NH–ME–CT

CMSA

Providence–Fall River–Warwick, RI–MA MSA

Bristol County, MA (part)

Attleboro city, MA

Fall River city, MA

North Attleborough town, MA

Rehoboth town, MA

Seekonk town, MA

Somerset town, MA

Swansea town, MA

Westport town, MA

Bristol County, RI

Barrington town, RI

Bristol town, RI

Warren town, RI

Kent County, RI

Coventry town, RI

East Greenwich town, RI

Warwick city, RI

West Greenwich town, RI

West Warwick town, RI

Newport County, RI (part)

Jamestown town, RI

Little Compton town, RI

Tiverton town, RI

Providence County, RI

Burrillville town, RI

Central Falls city, RI

Cranston city, RI

Cumberland town, RI

East Providence city, RI

Foster town, RI

Glocester town, RI

Johnston town, RI

Lincoln town, RI

North Providence town, RI

North Smithfield town, RI

Pawtucket city, RI

Providence city, RI

Scituate town, RI

Smithfield town, RI

Woonsocket city, RI

Washington County, RI (part)

Charlestown town, RI

Exeter town, RI

Narragansett town, RI

North Kingstown town, RI

Richmond town, RI

South Kingstown town, RI

Provo–Orem, UT MSA

Utah County, UT

Pueblo, CO MSA

Pueblo County, CO

Punta Gorda, FL MSA

Charlotte County, FL

D–8 APPENDIX D RETAIL TRADE—GEOGRAPHIC AREA SERIES
 JOBNAME: No Job Name PAGE: 9 SESS: 16 OUTPUT: Tue Nov 8 14:10:25 1994 /pssw01/disk2/economic/rc92a/52/14apdxd

Racine, WI PMSA—see Milwaukee–Racine,

WI CMSA

Raleigh–Durham–Chapel Hill, NC MSA

Chatham County, NC

Durham County, NC

Franklin County, NC

Johnston County, NC

Orange County, NC

Wake County, NC

Rapid City, SD MSA

Pennington County, SD

Reading, PA MSA

Berks County, PA

Redding, CA MSA

Shasta County, CA

Reno, NV MSA

Washoe County, NV

Richland–Kennewick–Pasco, WA MSA

Benton County, WA

Franklin County, WA

Richmond–Petersburg, VA MSA

Charles City County, VA

Chesterfield County, VA

Dinwiddie County, VA

Goochland County, VA

Hanover County, VA

Henrico County, VA

New Kent County, VA

Powhatan County, VA

Prince George County, VA

Colonial Heights city, VA

Hopewell city, VA

Petersburg city, VA

Richmond city, VA

Riverside–San Bernardino, CA PMSA—see

Los Angeles–Riverside–Orange County,

CA CMSA

Roanoke, VA MSA

Botetourt County, VA

Roanoke County, VA

Roanoke city, VA

Salem city, VA

Rochester, MN MSA

Olmsted County, MN

Rochester, NY MSA

Genesee County, NY

Livingston County, NY

Monroe County, NY

Ontario County, NY

Orleans County, NY

Wayne County, NY

Rockford, IL MSA

Boone County, IL

Ogle County, IL

Winnebago County, IL

Rocky Mount, NC MSA

Edgecombe County, NC

Nash County, NC

Sacramento, CA PMSA—see Sacramento–

Yolo, CA CMSA

Sacramento–Yolo, CA CMSA

Sacramento, CA PMSA

El Dorado County, CA

Placer County, CA

Sacramento County, CA

Yolo, CA PMSA

Yolo County, CA

Saginaw–Bay City–Midland, MI MSA

Bay County, MI

Midland County, MI

Saginaw County, MI

St. Cloud, MN MSA

Benton County, MN

Stearns County, MN

St. Joseph, MO MSA

Andrew County, MO

Buchanan County, MO

St. Louis, MO–IL MSA

Clinton County, IL

Jersey County, IL

Madison County, IL

Monroe County, IL

St. Clair County, IL

Franklin County, MO

Jefferson County, MO

Lincoln County, MO

St. Charles County, MO

St. Louis County, MO

Warren County, MO

St. Louis city, MO

Salem,ORPMSA—seePortland–Salem,OR–WA

CMSA

Salinas, CA MSA

Monterey County, CA

Salt Lake City–Ogden, UT MSA

Davis County, UT

Salt Lake County, UT

Weber County, UT

San Angelo, TX MSA

Tom Green County, TX

San Antonio, TX MSA

Bexar County, TX

Comal County, TX

Guadalupe County, TX

Wilson County, TX

San Diego, CA MSA

San Diego County, CA

San Francisco, CA PMSA—see San

Francisco–Oakland–San Jose, CA CMSA

San Francisco–Oakland–San Jose, CA CMSA

Oakland, CA PMSA

Alameda County, CA

Contra Costa County, CA

San Francisco, CA PMSA

Marin County, CA

San Francisco County, CA

San Mateo County, CA

San Jose, CA PMSA

Santa Clara County, CA

Santa Cruz–Watsonville, CA PMSA

Santa Cruz County, CA

Santa Rosa, CA PMSA

Sonoma County, CA

Vallejo–Fairfield–Napa, CA PMSA

Napa County, CA

Solano County, CA

San Jose, CA PMSA—see San Francisco–

Oakland–San Jose, CA CMSA

San Luis Obispo–Atascadero–Paso Robles, CA MSA

San Luis Obispo County, CA

Santa Barbara–Santa Maria–Lompoc, CA

MSA

Santa Barbara County, CA

Santa Cruz–Watsonville, CA PMSA—see San

Francisco–Oakland–San Jose, CA CMSA

Santa Fe, NM MSA

Los Alamos County, NM

Santa Fe County, NM

Santa Rosa, CA PMSA—see San Francisco–

Oakland–San Jose, CA CMSA

Sarasota–Bradenton, FL MSA

Manatee County, FL

Sarasota County, FL

Savannah, GA MSA

Bryan County, GA

Chatham County, GA

Effingham County, GA

Scranton–Wilkes-Barre–Hazleton, PA MSA

Columbia County, PA

Lackawanna County, PA

Luzerne County, PA

Wyoming County, PA

Seattle–Bellevue–Everett, WA PMSA—see

Seattle–Tacoma–Bremerton, WA CMSA

Seattle–Tacoma–Bremerton, WA CMSA

Bremerton, WA PMSA

Kitsap County, WA

Olympia, WA PMSA

Thurston County, WA

Seattle–Bellevue–Everett, WA PMSA

Island County, WA

King County, WA

Snohomish County, WA

Tacoma, WA PMSA

Pierce County, WA

Sharon, PA MSA

Mercer County, PA

Sheboygan, WI MSA

Sheboygan County, WI

Sherman–Denison, TX MSA

Grayson County, TX

Shreveport–Bossier City, LA MSA

Bossier Parish, LA

Caddo Parish, LA

Webster Parish, LA

Sioux City, IA–NE MSA

Woodbury County, IA

Dakota County, NE

Sioux Falls, SD MSA

Lincoln County, SD

Minnehaha County, SD

South Bend, IN MSA

St. Joseph County, IN

Spokane, WA MSA

Spokane County, WA

Springfield, IL MSA

Menard County, IL

Sangamon County, IL

Springfield, MO MSA

Christian County, MO

Greene County, MO

Webster County, MO

Springfield, MA MSA

Franklin County, MA (part)

Sunderland town, MA

Hampden County, MA (part)

Agawam city, MA

Chicopee city, MA

RETAIL TRADE—GEOGRAPHIC AREA SERIES APPENDIX D D–9
 JOBNAME: No Job Name PAGE: 10 SESS: 16 OUTPUT: Tue Nov 8 14:10:25 1994 /pssw01/disk2/economic/rc92a/52/14apdxd

Springfield, MA MSA—Con.

Hampden County, MA (part)—Con.

East Longmeadow town, MA

Hampden town, MA

Holyoke city, MA

Longmeadow town, MA

Ludlow town, MA

Monson town, MA

Montgomery town, MA

Palmer town, MA

Russell town, MA

Southwick town, MA

Springfield city, MA

Westfield city, MA

West Springfield town, MA

Wilbraham town, MA

Hampshire County, MA (part)

Amherst town, MA

Belchertown town, MA

Easthampton town, MA

Granby town, MA

Hadley town, MA

Hatfield town, MA

Huntington town, MA

Northampton city, MA

Southampton town, MA

South Hadley town, MA

Ware town, MA

Williamsburg town, MA

Stamford–Norwalk, CT PMSA—see New

York–Northern New Jersey–Long Island,

NY–NJ–CT–PA CMSA

State College, PA MSA

Centre County, PA

Steubenville–Weirton, OH–WV MSA

Jefferson County, OH

Brooke County, WV

Hancock County, WV

Stockton–Lodi, CA MSA

San Joaquin County, CA

Sumter, SC MSA

Sumter County, SC

Syracuse, NY MSA

Cayuga County, NY

Madison County, NY

Onondaga County, NY

Oswego County, NY

Tacoma, WA PMSA—see Seattle–Tacoma–

Bremerton, WA CMSA

Tallahassee, FL MSA

Gadsden County, FL

Leon County, FL

Tampa–St. Petersburg–Clearwater, FL MSA

Hernando County, FL

Hillsborough County, FL

Pasco County, FL

Pinellas County, FL

Terre Haute, IN MSA

Clay County, IN

Vermillion County, IN

Vigo County, IN

Texarkana, TX–Texarkana, AR MSA

Miller County, AR

Bowie County, TX

Toledo, OH MSA

Fulton County, OH

Lucas County, OH

Wood County, OH

Topeka, KS MSA

Shawnee County, KS

Trenton, NJ PMSA—see New York–

Northern New Jersey–Long Island,

NY–NJ–CT–PA CMSA

Tucson, AZ MSA

Pima County, AZ

Tulsa, OK MSA

Creek County, OK

Osage County, OK

Rogers County, OK

Tulsa County, OK

Wagoner County, OK

Tuscaloosa, AL MSA

Tuscaloosa County, AL

Tyler, TX MSA

Smith County, TX

Utica–Rome, NY MSA

Herkimer County, NY

Oneida County, NY

Vallejo–Fairfield–Napa, CA PMSA—see San

Francisco–Oakland–San Jose, CA CMSA

Ventura, CA PMSA—see Los Angeles–

Riverside–Orange County, CA CMSA

Victoria, TX MSA

Victoria County, TX

Vineland–Millville–Bridgeton, NJ PMSA—see

Philadelphia–Wilmington–Atlantic City,

PA–NJ–DE–MD CMSA

Visalia–Tulare–Porterville, CA MSA

Tulare County, CA

Waco, TX MSA

McLennan County, TX

Washington, DC–MD–VA–WV PMSA—see

Washington–Baltimore,DC–MD–VA–WVCMSA

Washington–Baltimore,DC–MD–VA–WVCMSA

Baltimore, MD PMSA

Anne Arundel County, MD

Baltimore County, MD

Carroll County, MD

Harford County, MD

Howard County, MD

Queen Anne’s County, MD

Baltimore city, MD

Hagerstown, MD PMSA

Washington County, MD

Washington, DC–MD–VA–WV PMSA

District of Columbia, DC

Calvert County, MD

Charles County, MD

Frederick County, MD

Montgomery County, MD

Prince George’s County, MD

Arlington County, VA

Clarke County, VA

Culpeper County, VA

Fairfax County, VA

Washington–Baltimore,DC–MD–VA–WVCMSA—

Con.

Washington, DC–MD–VA–WV PMSA—Con.

Fauquier County, VA

King George County, VA

Loudoun County, VA

Prince William County, VA

Spotsylvania County, VA

Stafford County, VA

Warren County, VA

Alexandria city, VA

Fairfax city, VA

Falls Church city, VA

Fredericksburg city, VA

Manassas city, VA

Manassas Park city, VA

Berkeley County, WV

Jefferson County, WV

Waterbury, CT PMSA—see New York–

Northern New Jersey–Long Island,

NY–NJ–CT–PA CMSA

Waterloo–Cedar Falls, IA MSA

Black Hawk County, IA

Wausau, WI MSA

Marathon County, WI

West Palm Beach–Boca Raton, FL MSA

Palm Beach County, FL

Wheeling, WV–OH MSA

Belmont County, OH

Marshall County, WV

Ohio County, WV

Wichita, KS MSA

Butler County, KS

Harvey County, KS

Sedgwick County, KS

Wichita Falls, TX MSA

Archer County, TX

Wichita County, TX

Williamsport, PA MSA

Lycoming County, PA

Wilmington–Newark, DE–MD PMSA—see

Philadelphia–Wilmington–Atlantic City,

PA–NJ–DE–MD CMSA

Wilmington, NC MSA

Brunswick County, NC

New Hanover County, NC

Worcester, MA–CT PMSA—see Boston–

Worcester–Lawrence,MA–NH–ME–CTCMSA

Yakima, WA MSA

Yakima County, WA

Yolo, CA PMSA—see Sacramento–Yolo, CA

CMSA

York, PA MSA

York County, PA

Youngstown–Warren, OH MSA

Columbiana County, OH

Mahoning County, OH

Trumbull County, OH

Yuba City, CA MSA

Sutter County, CA

Yuba County, CA

Yuma, AZ MSA

Yuma County, AZ

D–10 APPENDIX D RETAIL TRADE—GEOGRAPHIC AREA SERIES
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 100

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Appendix E.

Percent of Sales Data Based on Administrative Records

and Estimation for the United States: 1992

[Includes only establishments with payroll. For meaning of abbreviations and symbols and for more information on reliability of data, see introductory text. For explanation of terms and comparability

of 1987 and 1992 censuses, see appendix A]

SIC code Kind of business

Percent of sales m

From administrative records 1 Estimated2

Retail trade 14.0 ------------------------------- 5.4

52 Building materials and garden supplies stores 17.0 ----- 5.3

521, 3 Building materials and supply stores 14.9 --------------- 5.1

521 Lumber and other building materials dealers 14.9 ------ 4.9

523 Paint, glass, and wallpaper stores 15.2 --------------- 7.4

525 Hardware stores 24.4 --------------------------------- 5.6

526 Retail nurseries, lawn and garden supply stores 25.1 ----- 6.7

527 Manufactured (mobile) home dealers 19.8 --------------- 6.6

53 General merchandise stores 1.0 ---------------------- .7

531 Department stores (incl. leased depts.) 3 4 5 --------- .1 .2

531 pt. Conventional 3 4 -------------------------------- – .2

531 pt. Discount or mass merchandising 3 4 -------------- .2 .2

531 pt. National chain 3 4------------------------------- – .1

531 Department stores (excl. leased depts.) 3 ----------- .1 .2

531 pt. Conventional 3 --------------------------------- – .2

531 pt. Discount or mass merchandising 3 --------------- .2 .2

531 pt. National chain 3 -------------------------------- – .1

533 Variety stores 6.4 ----------------------------------- 4.1

539 Miscellaneous general merchandise stores 3.3 --------- 2.2

539 pt. Warehouse clubs – ------------------------------ –

539 pt. Catalog showrooms .2 ---------------------------- 1.8

539 pt. Other miscellaneous general merchandise stores 12.6 -- 7.5

54 Food stores 11.2 -------------------------------------- 5.0

541 Grocery stores 10.3 ---------------------------------- 4.7

541 pt. Supermarkets and other general-line grocery

stores 8.2 --------------------------------------- 4.2

541 pt. Convenience food stores 34.4 ----------------------- 11.0

541 pt. Convenience food/gasoline stores 20.7 --------------- 6.7

541 pt. Delicatessens 43.1 --------------------------------- 9.6

542 Meat and fish (seafood) markets 33.1 ------------------ 9.4

546 Retail bakeries 27.9 ---------------------------------- 10.5

546 pt. Retail bakeries mbaking and selling 29.9 -------------- 10.6

546 pt. Retail bakeries mselling only 10.9 -------------------- 10.2

543, 4, 5, 9 Other food stores 28.5 -------------------------------- 10.1

543 Fruit and vegetable markets 28.3 -------------------- 9.5

544 Candy, nut, and confectionery stores 19.1 ------------ 9.3

545 Dairy products stores 33.5 --------------------------- 11.6

549 Miscellaneous food stores 32.0 ---------------------- 10.6

55 ex. 554 Automotive dealers 15.0 ------------------------------- 4.0

551 New and used car dealers 13.0 ------------------------ 3.4

552 Used car dealers 38.9 -------------------------------- 8.2

553 Auto and home supply stores 22.2 --------------------- 8.2

553 pt. Auto parts, tires, and accessories stores 22.1 --------- 8.4

553 pt. Home and auto supply stores 23.4 ------------------- 4.9

555, 6, 7, 9 Miscellaneous automotive dealers 19.3 ----------------- 5.0 555 Boat dealers 21.6 ---------------------------------- 7.1 556 Recreational vehicle dealers 15.5 -------------------- 3.6 557 Motorcycle dealers 21.6 ----------------------------- 4.1 559 Automotive dealers, n.e.c. 22.2 ---------------------- 6.8

554 Gasoline service stations 19.8 ------------------------- 7.6

554 pt. Gasoline/convenience food stores 7.6 ----------------- 4.3

554 pt. Other gasoline service stations and truck stops 26.5 ----- 9.4

SIC code Kind of business

Percent of sales m

From administrative records 1 Estimated2

56 Apparel and accessory stores 10.4 --------------------- 7.0

561 Men’s and boys’ clothing and accessory stores 14.6 ----- 10.1

562, 3 Women’s clothing and specialty stores 13.2 ------------- 8.5

562 Women’s clothing stores 13.0 ----------------------- 8.2

563 Women’s accessory and specialty stores 15.0 --------- 11.0

563 pt. Furriers and fur shops 21.7 ------------------------ 13.6

563 pt. Other women’s accessory and specialty stores 14.1 - 10.7

565 Family clothing stores 6.0 ---------------------------- 4.5

566 Shoe stores 7.5 ------------------------------------- 6.1 566 pt. Men’s shoe stores 8.0 ----------------------------- 8.3 566 pt. Women’s shoe stores 8.2 -------------------------- 9.9 566 pt. Children’s and juveniles’ shoe stores 9.1 ------------- 4.8 566 pt. Family shoe stores 8.4 ----------------------------- 5.9 566 pt. Athletic footwear stores 4.1 ------------------------ 2.7

564, 9 Other apparel and accessory stores 19.5 --------------- 9.8

564 Children’s and infants’ wear stores 14.1 -------------- 8.9

569 Miscellaneous apparel and accessory stores 24.5 ------ 10.6

57 Furniture and homefurnishings stores 18.3 ------------- 8.1

5712 Furniture stores 20.4 ---------------------------------- 8.8

5713, 4, 9 Homefurnishings stores 21.6 --------------------------- 8.0

5713 Floor covering stores 26.6 --------------------------- 8.2

5714 Drapery, curtain, and upholstery stores 23.5 ---------- 10.2

5719 Miscellaneous homefurnishings stores 16.3 ----------- 7.7

572 Household appliance stores 21.8 ----------------------- 7.1

573 Radio, television, computer, and music stores 13.7 ------- 7.7 5731 Radio, television, and electronics stores 12.1 ---------- 5.9

5734 Computer and software stores 21.9 ------------------ 14.7

5734 pt. Computer stores 19.2 ----------------------------- 13.8

5734 pt. Computer software stores 28.8 -------------------- 17.0

5735 Record and prerecored tape stores 8.3 -------------- 5.8

5736 Musical instrument stores 17.5 ----------------------- 7.5

58 Eating and drinking places 22.3 ------------------------ 9.3

5812 Eating places 21.3 ------------------------------------ 9.2

5812 pt. Restaurants 24.3 ----------------------------------- 10.2

5812 pt. Cafeterias 11.5 ------------------------------------- 5.1

5812 pt. Refreshment places 21.0 ---------------------------- 8.1

5812 pt. Other eating places 10.4 ---------------------------- 9.8

5812 pt. Social caterers 26.1 ------------------------------ 10.6

5812 pt. Contract feeding 2.9 ----------------------------- 9.5

5812 pt. Ice cream and frozen yogurt shops 38.1 ------------ 10.4

5813 Drinking places 38.8 ---------------------------------- 12.3

591 Drug and proprietary stores 16.2 ----------------------- 5.2

591 pt. Drug stores 16.3 ------------------------------------- 5.2

591 pt. Proprietary stores 12.3 -------------------------------- 4.4

59 ex. 591 Miscellaneous retail stores 19.0 ------------------------ 7.3

592 Liquor stores 28.5 ------------------------------------ 8.5

593 Used merchandise stores 26.7 ------------------------- 9.0

594 Miscellaneous shopping goods stores 19.3 -------------- 7.6

5941 Sporting goods stores and bicycle shops 19.2 --------- 7.8

5941 pt. General line sporting goods stores 14.0 ------------- 7.3 5941 pt. Specialty line sporting goods stores 23.9 ------------ 8.2

5942 Book stores 14.1 ----------------------------------- 7.6

5944 Jewelry stores 22.3 --------------------------------- 7.8

5943, 5, 6,

7, 8, 9

Other miscellaneous shopping goods stores 19.4 ------ 7.4

5943 Stationery stores 38.2 ----------------------------- 11.8

5945 Hobby, toy, and game shops 9.2 ------------------ 5.4

5946 Camera and photographic supply stores 18.5 -------- 7.3

5947 Gift, novelty, and souvenir shops 30.4 -------------- 9.1

5948 Luggage and leather goods stores 10.4 ------------- 8.3

5949 Sewing, needlework, and piece goods stores 11.4 --- 6.5

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES APPENDIX E E–1
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 101

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

SIC code Kind of business

Percent of sales m

From administrative records 1 Estimated2

59 ex. 591 Miscellaneous retail stores mCon.

596 Nonstore retailers 9.0 -------------------------------- 4.6

5961 Catalog and mail-order houses 5.1 ------------------ 3.7

5961 pt. Department store merchandise 2.6 ---------------- 2.5

5961 pt. Other general merchandise 4.9 ------------------- 3.6

5961 pt. Specialized merchandise 5.5 --------------------- 3.9

5962 Automatic merchandising machine operators 16.4 ------ 6.1

5963 Direct selling establishments 17.6 -------------------- 6.7

5963 pt. Furniture, homefurnishings, and equipment 20.3 ----- 6.4

5963 pt. Mobile food service 28.5 -------------------------- 6.9

5963 pt. Books and stationery 14.9 ------------------------- 7.4

5963 pt. Other 16.0 --------------------------------------- 6.7

SIC code Kind of business

Percent of sales m

From administrative records 1 Estimated2

59 ex. 591 Miscellaneous retail stores mCon.

598 Fuel dealers 20.8 ------------------------------------- 8.1 5983 Fuel oil dealers 23.7 -------------------------------- 7.1 5984 Liquefied petroleum gas (bottled gas) dealers 15.4 ----- 10.1 5989 Fuel dealers, n.e.c. 38.4 ----------------------------- 6.4

5992 Florists 35.7 ----------------------------------------- 9.5

5993 Tobacco stores and stands 19.2 ----------------------- 9.6

5994 News dealers and newsstands 28.8 -------------------- 13.0

5995 Optical goods stores 20.3 ----------------------------- 10.2

5999 Miscellaneous retail stores, n.e.c. 26.9 ------------------ 10.3

5999 pt. Pet shops 21.7 ------------------------------------- 6.7

5999 pt. Art dealers 28.8 ------------------------------------ 12.3

5999 pt. Other miscellaneous retail stores, n.e.c. 27.9 ---------- 10.8

1Includes sales information obtained from administrative records of other Federal agencies.

2Includes sales information which was imputed based on historic company ratios or administrative records, or on industry averages.

3Includes sales from catalog order desks.

4Includes data for leased departments operated within department stores.

5Data for this line not included in higher level totals.

E–2nnAPPENDIX E RETAIL TRADEmGEOGRAPHIC AREA SERIES
 JOBNAME: No Job Name PAGE: 1 SESS: 4 OUTPUT: Tue Nov 8 14:10:55 1994 /pssw01/disk2/economic/rc92a/52/14apdxf

Appendix F.

Geographic Notes

ALABAMA

Arab is in Cullman and Marshall Counties; it annexed into

Cullman County in July 1988.

Birminghamis in Jefferson and Shelby Counties; it annexed

into Shelby County in February 1986, but this change was

not submitted to the Bureau of the Census until March

1988. In January 1987, Roosevelt City disincorporated and

was annexed by Birmingham.

Boaz is in Etowah and Marshall Counties.

Childersburg is in Shelby and Talladega Counties; it

annexed into Shelby County in November 1990.

Decatur is in Limestone and Morgan Counties; it annexed

into Limestone County in October 1986, but this change

was not submitted to the Bureau of the Census until

February 1987.

Dothan is in Dale, Henry, and Houston Counties; it annexed

into Henry County in August 1990.

Enterprise is in Coffee and Dale Counties.

Glencoe is in Calhoun and Etowah Counties.

Haleyville is in Marion and Winston Counties; it annexed

into Marion County in November 1987.

Hoover is in Jefferson and Shelby Counties.

Huntsville is in Limestone and Madison Counties.

Leeds is in Jefferson, St. Clair, and Shelby Counties.

Madison is in Limestone and Madison Counties.

Oxford is in Calhoun and Talladega Counties.

Phenix City is in Lee and Russell Counties.

Piedmont is in Calhoun and Cherokee Counties.

Prattville is in Autauga and Elmore Counties.

Southside is in Calhoun and Etowah Counties.

Sumiton is in Jefferson and Walker Counties.

Tallassee is in Elmore and Tallapoosa Counties.

ALABAMA—Con.

Vestavia Hills is in Jefferson and Shelby Counties; it

annexed into Shelby County in August 1990.

Winfield is in Fayette and Marion Counties.

ALASKA

Aleutians East Borough was established from part of the

Aleutian Islands Census Area, which no longer exists; this

change took place in October 1987.

Aleutians West Census Area was established from part

of the Aleutian Islands Census Area, which no longer

exists; this change took place in January 1990.

Denali Borough was established from parts of the YukonKoyukuk Census Area and Southeast Fairbanks Census

Area, both of which continue to exist; this change took

place in December 1990.

Lake and Peninsula Borough was established from part

of the Dillingham Census Area, which continues to exist;

this change took place in April 1989.

ARIZONA

Apache Junction is in Maricopa and Pinal Counties.

Fountain Hills was incorporated in December 1989.

Litchfield Park was incorporated in August 1987.

Queen Creek was incorporated in September 1989.

Sedona is in Coconino and Yavapai Counties; it was

incorporated in January 1988.

ARKANSAS

Springdale is in Benton and Washington Counties.

RETAIL TRADE—GEOGRAPHIC AREA SERIES APPENDIX F F–1
 JOBNAME: No Job Name PAGE: 2 SESS: 4 OUTPUT: Tue Nov 8 14:10:55 1994 /pssw01/disk2/economic/rc92a/52/14apdxf

CALIFORNIA

American Canyon was incorporated in January 1992.

Apple Valley was incorporated in November 1988.

Calimesa was incorporated in December 1990.

Canyon Lake was incorporated in December 1990.

Chino Hills was incorporated in December 1991.

Dana Point was incorporated in January 1989.

Diamond Bar was incorporated in April 1989.

Encinitas was incorporated in October 1986, but this

change was not submitted to the Bureau of the Census

until September 1987.

Hesperia was incorporated in July 1988.

Highland was incorporated in November 1987.

Industry does not qualify as a ‘‘place’’ for the economic

census based on its 1990 population; however, because of

its dense concentration of economic activity, Industry is

included.

Laguna Hills was incorporated in December 1991.

Laguna Niguel was incorporated in December 1989.

Lake Forest was incorporated in December 1991.

Lathrop was incorporated in July 1989.

Mission Viejo was incorporated in March 1988.

Murrieta was incorporated in July 1991.

Santa Clarita was incorporated in December 1987.

Temecula was incorporated in December 1989.

Twentynine Palms was incorporated in November 1987.

Vernon does not qualify as a ‘‘place’’ for the economic

census based on its 1990 population; however, because of

its dense concentration of economic activity, Vernon is

included.

Yucaipa was incorporated in November 1989.

Yucca Valley was incorporated in November 1991.

COLORADO

Arvada is in Adams and Jefferson Counties.

Aurora is in Adams, Arapahoe, and Douglas Counties; it

annexed into Douglas County in May 1988.

Brighton is in Adams and Weld Counties.

Broomfield is in Adams, Boulder, Jefferson, and Weld

Counties; it annexed into Weld County in December 1988.

Littleton is in Arapahoe, Douglas, and Jefferson Counties;

it annexed into Jefferson County in December 1990.

Longmont is in Boulder and Weld Counties; it annexed

into Weld County in May 1990.

Northglenn is in Adams and Weld Counties; it annexed

into Weld County in February 1989.

Thornton is in Adams and Weld Counties; it annexed into

Weld County in April 1991.

Westminster is in Adams and Jefferson Counties.

CONNECTICUT

Colchester special economic urban area includes

Colchester borough, which disincorporated in July 1990.

Danielson. See ‘‘Killingly town balance.’’

Groton. See ‘‘Groton town balance.’’

Groton town balance. The term ‘‘balance’’ after the town

refers to the residual portion of a town which contains an

incorporated place recognized for the 1992 Economic

Census. Groton town balance contains all of Groton town

except the incorporated place of Groton.

Killingly town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Census. Killingly town balance contains all of Killingly town

except the incorporated place of Danielson.

Milford city (balance). See ‘‘Milford consolidated city.’’

Milford consolidated city is coextensive with Milford

town. It includes the borough of Woodmont, which is not

populous enough for separate tabulation. Therefore, ‘‘Milford city (balance),’’ which is a place equivalent, refers to

the whole consolidated city.

Stafford special economic urban area includes Stafford

Springs, which disincorporated in November 1991.

F–2 APPENDIX F RETAIL TRADE—GEOGRAPHIC AREA SERIES
 JOBNAME: No Job Name PAGE: 3 SESS: 4 OUTPUT: Tue Nov 8 14:10:55 1994 /pssw01/disk2/economic/rc92a/52/14apdxf

DELAWARE

Milford is in Kent and Sussex Counties.

Smyrna is in Kent and New Castle Counties.

DISTRICT OF COLUMBIA

There are no geographic notes for the District of Columbia.

FLORIDA

Atlantic Beach. See ‘‘Jacksonville consolidated city.’’

Hallandale is only in Broward County; it was erroneously

put in both Broward County and Dade County for the 1987

Economic Censuses, but it has never been in Dade

County.

Jacksonville Beach.See ‘‘Jacksonville consolidated city.’’

Jacksonville city (balance). See ‘‘Jacksonville consolidated city.’’

Jacksonville consolidated city is coextensive with Duval

County. It includes the incorporated places of Atlantic

Beach, Jacksonville Beach, and Neptune Beach, which

are tabulated separately. ‘‘Jacksonville city (balance),’’

which is a place equivalent, includes the town of Baldwin,

which is not populous enough for separate tabulation.

Longboat Key is in Manatee and Sarasota Counties.

Neptune Beach. See ‘‘Jacksonville consolidated city.’’

GEORGIA

Athens-Clarke County (balance). See ‘‘Athens-Clarke

County consolidated city.’’

Athens-Clarke County consolidated city is coextensive

with Clarke County. It contains Winterville city and the

portion of Bogart town in Clarke County. Because neither

of these incorporated places are populous enough for

separate tabulation, ‘‘Athens-Clarke County (balance),’’

which is a place equivalent, refers to the whole consolidated city. The governments of Athens and Clarke County

dissolved and consolidated in January 1991.

Atlanta is in DeKalb and Fulton Counties.

Auburn is in Barrow and Gwinnett Counties; it annexed

into Gwinnett County in July 1987.

Austell is in Cobb and Douglas Counties.

GEORGIA—Con.

Bremen is in Carroll and Haralson Counties.

Buford is in Gwinnett and Hall Counties.

College Park is in Clayton and Fulton Counties.

Columbus city (balance). See ‘‘Columbus consolidated

city.’’

Columbus consolidated city is coextensive with Muscogee County. It includes the town of Bibb City. Because

Bibb City is not populous enough for separate tabulation,

‘‘Columbus city (balance),’’ which is a place equivalent,

refers to the whole consolidated city.

Fitzgerald is in Ben Hill and Irwin Counties.

Fort Oglethorpe is in Catoosa and Walker Counties.

Loganville is in Gwinnett and Walton Counties.

Macon is in Bibb and Jones Counties.

Manchester is in Meriwether and Talbot Counties.

Palmetto is in Coweta and Fulton Counties.

Perry is in Houston and Peach Counties; it annexed into

Peach County in December 1986, but this change was not

submitted to the Bureau of the Census until April 1989.

Royston is in Franklin, Hart, and Madison Counties.

Social Circle is in Newton and Walton Counties; it annexed

into Newton County in September 1987.

Vidalia is in Montgomery and Toombs Counties.

Villa Rica is in Carroll and Douglas Counties.

Waycross is in Pierce and Ware Counties.

West Point is in Harris and Troup Counties.

HAWAII

Note: Hawaii, which has only one incorporated place

(Honolulu), is the only State (or equivalent) included in the

economic census for which we recognize CDP’s as places.

We recognize those that have a population of 2,500 or

more.

Aliamanu became a CDP during the 1990 census.

RETAIL TRADE—GEOGRAPHIC AREA SERIES APPENDIX F F–3
 JOBNAME: No Job Name PAGE: 4 SESS: 4 OUTPUT: Tue Nov 8 14:10:55 1994 /pssw01/disk2/economic/rc92a/52/14apdxf

HAWAII—Con.

Ewa Villages name was changed from Ewa in January

1990.

Fort Shafter became a CDP during the 1990 census.

Halawa became a CDP during the 1990 census.

Hawaiian Beaches became a CDP during the 1990 census.

Hawaiian Paradise Park became a CDP during the 1990

census.

Honolulu County is coextensive with Honolulu city, which

is not recognized for the economic census. In agreement

with Hawaiian law, the Census Bureau reports data for the

separate communities in Honolulu County that the State of

Hawaii has identified; Honolulu CDP and the other communities of 2,500 or more population are recognized for

the economic census.

Island of Lanai. See ‘‘Maui County.’’

Island of Molokai. See ‘‘Maui County.’’

Kalaoa became a CDP during the 1990 census.

Kaneohe Station name was changed from Mokapu in

January 1990.

Maui County consists of four islands. The State requested

that two of the islands, Lanai and Molokai, be recognized

as ‘‘places’’ for the economic census. Included on the

island of Molokai is the nonfunctioning county of Kalawao.

Pupukea became a CDP during the 1990 census.

Village Park became a CDP during the 1990 census.

Wailua Homesteads became a CDP during the 1990

census.

Waimalu became a CDP during the 1990 census.

Waipio became a CDP during the 1990 census.

Wheeler AFB became a CDP during the 1990 census.

IDAHO

Burley is in Cassia and Minidoka Counties.

Pocatello is in Bannock and Power Counties; it annexed

into Power County in August 1989.

ILLINOIS

Algonquin is in Kane and McHenry Counties.

Aurora is in DuPage and Kane Counties.

Barrington is in Cook and Lake Counties.

Barrington Hills is in Cook, Kane, Lake, and McHenry

Counties.

Bartlett is in Cook, DuPage, and Kane Counties; it annexed

into Kane County in June 1988.

Batavia is in DuPage and Kane Counties.

Beach Park was incorporated in March 1988.

Bedford Park does not qualify as a ‘‘place’’ for the

economic census based on its 1990 population; however,

because of its dense concentration of economic activity,

Bedford Park is included.

Bensenville is in Cook and DuPage Counties.

Bolingbrook is in DuPage and Will Counties.

Buffalo Grove is in Cook and Lake Counties.

Burr Ridge is in Cook and DuPage Counties.

Casey is in Clark and Cumberland Counties.

Centralia is in Clinton, Marion, and Washington Counties;

it annexed into Washington County in October 1991.

Channahon is in Grundy and Will Counties; it annexed into

Grundy County in November 1984, but this change was not

submitted to the Bureau of the Census until November

1987.

Chicago is in Cook and DuPage Counties.

Coal City is in Grundy and Will Counties; it annexed into

Will County in February 1991.

Coal Valley is in Henry and Rock Island Counties.

Collinsville is in Madison and St. Clair Counties.

Deerfield is in Cook and Lake Counties.

Dwight is in Grundy and Livingston Counties.

East Dundee is in Cook and Kane Counties.

Elgin is in Cook and Kane Counties.

F–4 APPENDIX F RETAIL TRADE—GEOGRAPHIC AREA SERIES
 JOBNAME: No Job Name PAGE: 5 SESS: 4 OUTPUT: Tue Nov 8 14:10:55 1994 /pssw01/disk2/economic/rc92a/52/14apdxf

ILLINOIS—Con.

Elk Grove Village is in Cook and DuPage Counties.

Ford Heights name was changed from East Chicago

Heights in March 1987.

Fox Lake is in Lake and McHenry Counties.

Fox River Grove is in Lake and McHenry Counties; it

annexed into Lake County in April 1991.

Godfrey was incorporated in April 1991.

Hanover Park is in Cook and DuPage Counties.

Hinsdale is in Cook and DuPage Counties.

Hoffman Estates is in Cook and Kane Counties.

Island Lake is in Lake and McHenry Counties.

Lemont is in Cook, DuPage, and Will Counties; it annexed

into Du Page County in September 1989 and annexed into

Will County in September 1991.

Madison is in Madison and St. Clair Counties.

Minooka is in Grundy and Will Counties.

Montgomery is in Kane and Kendall Counties.

Naperville is in DuPage and Will Counties.

New Baden is in Clinton and St. Clair Counties.

Oak Brook is in Cook and DuPage Counties.

Park Forest is in Cook and Will Counties.

Pekin is in Peoria and Tazewell Counties.

Peoria Heights is in Peoria, Tazewell, and Woodford

Counties.

Roselle is in Cook and DuPage Counties.

St. Charles is in DuPage and Kane Counties.

Sandwich is in DeKalb and Kendall Counties.

Sauk Village is in Cook and Will Counties.

Schaumburg is in Cook and DuPage Counties.

Steger is in Cook and Will Counties.

Streator is in La Salle and Livingston Counties.

ILLINOIS—Con.

Tinley Park is in Cook and Will Counties.

University Park is in Cook and Will Counties.

Virden is in Macoupin and Sangamon Counties.

Wheeling is in Cook and Lake Counties.

Willow Springs is only in Cook County; an annexation into

DuPage County in 1981 was ruled null and void in July

1982, but this information was not submitted to the Bureau

of the Census until April 1992.

Woodridge is in DuPage and Will Counties; it annexed into

Will County in December 1989.

INDIANA

Batesville is in Franklin and Ripley Counties.

Chesterfield is in Delaware and Madison Counties.

Cumberland is in Hancock and Marion Counties; see

‘‘Indianapolis consolidated city.’’

Dunkirk is in Blackford and Jay Counties.

Edinburgh is in Bartholomew and Johnson Counties.

Elwood is in Madison and Tipton Counties.

Indianapolis city (balance). See ‘‘Indianapolis consolidated city.’’

Indianapolis consolidated city includes all of Marion

County except four independent places: Beech Grove,

Lawrence, Southport, and Speedway. Eleven of the twelve

incorporated places within the consolidated city are not

populous enough for separate tabulation and, therefore,

are included in ‘‘Indianapolis city (balance),’’ which is a

place equivalent. Cumberland, which is partially in Hancock County, is tabulated separately.

Nappanee is in Elkhart and Kosciusko Counties.

IOWA

Carlisle is in Polk and Warren Counties.

Clive is in Dallas and Polk Counties; it annexed into Dallas

County in February 1990.

Dyersville is in Delaware and Dubuque Counties.

Forest City is in Hancock and Winnebago Counties.

RETAIL TRADE—GEOGRAPHIC AREA SERIES APPENDIX F F–5
 JOBNAME: No Job Name PAGE: 6 SESS: 4 OUTPUT: Tue Nov 8 14:10:55 1994 /pssw01/disk2/economic/rc92a/52/14apdxf

IOWA—Con.

Grimes is in Dallas and Polk Counties; it annexed into

Dallas County in April 1991.

Sheldon is in O’Brien and Sioux Counties.

Shenandoah is in Fremont and Page Counties.

Urbandale is in Dallas and Polk Counties; it annexed into

Dallas County in May 1990.

West Des Moines is in Dallas and Polk Counties; it

annexed into Dallas County in October 1987.

Wilton is in Cedar and Muscatine Counties.

KANSAS

Bonner Springs is in Johnson and Wyandotte Counties.

Herington is in Dickinson and Morris Counties; it annexed

into Morris County in May 1986, but this change was not

submitted to the Bureau of the Census until September

1987.

Manhattan is in Pottawatomie and Riley Counties.

Mulvane is in Sedgwick and Sumner Counties.

KENTUCKY

Balance of Jefferson County includes Newburg, which

disincorporated in February 1987.

Corbin is in Knox and Whitley Counties.

LOUISIANA

De Ridder is in Beauregard and Vernon Parishes.

Eunice is in Acadia and St. Landry Parishes.

Shreveport is in Bossier and Caddo Parishes.

MAINE

There are no geographic notes for the State of Maine.

MARYLAND

Hampstead is in Baltimore and Carroll Counties; it annexed

into Baltimore County prior to 1980, but this change was

not submitted to the Bureau of the Census until June 1989.

Mount Airy is in Carroll and Frederick Counties.

Takoma Park is in Montgomery and Prince George’s

Counties.

MASSACHUSETTS

Agawam was incorporated in 1971, but this change was

not submitted to the Bureau of the Census until June 1992;

for the 1987 Economic Censuses, this was a special

economic urban area.

MICHIGAN

Note: This is the first economic census in which the Bureau

of the Census has recognized special economic urban

areas in Michigan. In Michigan, special economic urban

areas, which are place equivalents, are townships that

have a population of 10,000 or more.

Clare is in Clare and Isabella Counties.

Commerce township balance. The term ‘‘balance’’ after

the township refers to the residual portion of a township

which contains an incorporated place recognized for the

1992 Economic Census. Commerce township balance

contains all of Commerce township except the incorporated place of Wolverine Lake.

Grosse Pointe Shores is in Macomb and Wayne

Counties.

Holland is in Allegan and Ottawa Counties.

Lake Orion. See ‘‘Orion township balance.’’

Lansing is in Eaton and Ingham Counties.

Midland is in Bay and Midland Counties.

Milan is in Monroe and Washtenaw Counties.

Niles is in Berrien and Cass Counties.

Northville is in Oakland and Wayne Counties.

Orion township balance. The term ‘‘balance’’ after the

township refers to the residual portion of a township which

contains an incorporated place recognized for the 1992

Economic Census. Orion township balance contains all of

Orion township except the incorporated place of Lake

Orion.

Romeo. See ‘‘Washington township balance.’’

South Haven is in Allegan and Van Buren Counties; it

annexed into Allegan County in February 1988.

Traverse City is in Grand Traverse and Leelanau Counties; it annexed into Leelanau County in June 1989.

F–6 APPENDIX F RETAIL TRADE—GEOGRAPHIC AREA SERIES
 JOBNAME: No Job Name PAGE: 7 SESS: 4 OUTPUT: Tue Nov 8 14:10:55 1994 /pssw01/disk2/economic/rc92a/52/14apdxf

MICHIGAN—Con.

Washington township balance. The term ‘‘balance’’ after

the township refers to the residual portion of a township

which contains an incorporated place recognized for the

1992 Economic Census. Washington township balance

contains all of Washington township except the incorporated place of Romeo.

Wolverine Lake. See ‘‘Commerce township balance.’’

MINNESOTA

Blaine is in Anoka and Ramsey Counties.

Chanhassen is in Carver and Hennepin Counties.

Dayton is in Hennepin and Wright Counties.

Granite Falls is in Chippewa and Yellow Medicine Counties.

Hastings is in Dakota and Washington Counties.

International Falls includes South International Falls; the

two cities merged and became International Falls in January 1989.

Lake City is in Goodhue and Wabasha Counties.

Mankato is in Blue Earth, Le Sueur, and Nicollet Counties;

it annexed into Le Sueur County in December 1991.

New Prague is in Le Sueur and Scott Counties.

Northfield is in Dakota and Rice Counties.

North Mankato is in Blue Earth and Nicollet Counties; it

annexed into Blue Earth County in June 1986, but this

change was not submitted to the Bureau of the Census

until September 1987.

Otsego was incorporated in November 1990.

Princeton is in Mille Lacs and Sherburne Counties.

Rockford is in Hennepin and Wright Counties.

St. Anthony is in Hennepin and Ramsey Counties.

St. Cloud is in Benton, Sherburne, and Stearns Counties.

Sartell is in Benton and Stearns Counties.

Spring Lake Park is in Anoka and Ramsey Counties.

Staples is in Todd and Wadena Counties.

MINNESOTA—Con.

Wadena is in Otter Tail and Wadena Counties.

White Bear Lake is in Ramsey and Washington Counties.

MISSISSIPPI

Baldwyn is in Lee and Prentiss Counties.

D’Iberville was incorporated in February 1988.

Hattiesburg is in Forrest and Lamar Counties.

Jackson is in Hinds, Madison, and Rankin Counties; it

annexed into Madison County in December 1989.

MISSOURI

Cameron is in Clinton and DeKalb Counties.

Cape Girardeau is in Cape Girardeau and Scott Counties;

it annexed into Scott County in August 1988.

Centralia is in Audrain and Boone Counties.

Chesterfield was incorporated in June 1988.

Crawford County is the only county outside New England

that is split by an MA boundary. The portion of Sullivan city

in Crawford County is in the St. Louis, MO-IL MSA; Sullivan

city is also in Franklin County. However, Crawford County

is being excluded from economic census data tabulations

for the St. Louis, MO-IL MSA.

Excelsior Springs is in Clay and Ray Counties.

Hannibal is in Marion and Ralls Counties.

Independence is in Clay and Jackson Counties.

Jefferson City is in Callaway and Cole Counties.

Joplin is in Jasper and Newton Counties.

Kansas City is in Cass, Clay, Jackson, and Platte Counties; it annexed into Cass County in March 1986, but this

change was not submitted to the Bureau of the Census

until May 1989.

Lee’s Summit is in Cass and Jackson Counties.

Marceline is in Chariton and Linn Counties.

Monett is in Barry and Lawrence Counties.

Monroe City is in Marion, Monroe, and Ralls Counties.

RETAIL TRADE—GEOGRAPHIC AREA SERIES APPENDIX F F–7
 JOBNAME: No Job Name PAGE: 8 SESS: 4 OUTPUT: Tue Nov 8 14:10:55 1994 /pssw01/disk2/economic/rc92a/52/14apdxf

MISSOURI—Con.

Mountain Grove is in Texas and Wright Counties; it

annexed into Texas County in October 1987.

Oak Grove is in Jackson and Lafayette Counties.

Osage Beach is in Camden and Miller Counties.

Pacific is in Franklin and St. Louis Counties.

Portageville is in New Madrid and Pemiscot Counties.

Scott City is in Cape Girardeau and Scott Counties; it

annexed into Cape Girardeau County in August 1989.

Sikeston is in New Madrid and Scott Counties.

Springfield is in Christian and Greene Counties; it annexed

into Christian County in May 1987.

Sugar Creek is in Clay and Jackson Counties.

Sullivan is in Crawford and Franklin Counties; see ‘‘Crawford County.’’

Vanadalia is in Audrain and Ralls Counties.

Windsor is in Henry and Pettis Counties.

MONTANA

Butte-Silver Bow (balance). See ‘‘Butte-Silver Bow

consolidated city.’’

Butte-Silver Bow consolidated city is coextensive with

Silver Bow County. It includes the city of Walkerville, which

is not populous enough for separate tabulation. Therefore,

‘‘Butte-Silver Bow (balance),’’ which is a place equivalent,

refers to the whole consolidated city.

NEBRASKA

There are no geographic notes for the State of Nebraska.

NEVADA

There are no geographic notes for the State of Nevada.

NEW HAMPSHIRE

There are no geographic notes for the State of New

Hampshire.

NEW JERSEY

There are no geographic notes for the State of New

Jersey.

NEW MEXICO

Corrales is in Bernalillo and Sandoval Counties.

Espanola is in Rio Arriba and Sante Fe Counties.

NEW YORK

Note: This is the first economic census in which the Bureau

of the Census has recognized special economic urban

areas in New York. In New York, special economic urban

areas, which are place equivalents, are towns that have a

population of 10,000 or more.

Airmont was incorporated in March 1991; see ‘‘Ramapo

town balance.’’

Amherst town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Census. Amherst town balance contains all of Amherst

town except the incorporated place of Williamsville.

Amityville. See ‘‘Babylon town balance.’’

Ardsley. See ‘‘Greenburgh town balance.’’

Attica is in Genesee and Wyoming Counties.

Babylon. See ‘‘Babylon town balance.’’

Babylon town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Census. Babylon town balance contains all of Babylon

town except the incorporated places of Amityville, Babylon, and Lindenhurst.

Baldwinsville. See ‘‘Lysander town balance’’ and ‘‘Van

Buren town balance.’’

Ballston Spa. See ‘‘Milton town balance.’’

Bayville. See ‘‘Oyster Bay town balance.’’

Bellport. See ‘‘Brookhaven town balance.’’

Blasdell. See ‘‘Hamburg town balance.’’

F–8 APPENDIX F RETAIL TRADE—GEOGRAPHIC AREA SERIES
 JOBNAME: No Job Name PAGE: 9 SESS: 4 OUTPUT: Tue Nov 8 14:10:55 1994 /pssw01/disk2/economic/rc92a/52/14apdxf

NEW YORK—Con.

Blooming Grove town balance. The term ‘‘balance’’ after

the town refers to the residual portion of a town which

contains an incorporated place recognized for the 1992

Economic Census. Blooming Grove town balance contains

all of Blooming Grove town except the incorporated place

of Washingtonville.

Briarcliff Manor. See ‘‘Mount Pleasant town balance.’’

Brightwaters. See ‘‘Islip town balance.’’

Bronxville. See ‘‘Eastchester town balance.’’

Brookhaven town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Census. Brookhaven town balance contains all of Brookhaven

town except the incorporated places of Bellport, Lake

Grove, Patchogue, and Port Jefferson.

Brookville. See ‘‘Oyster Bay town balance.’’

Cayuga Heights. See ‘‘Ithaca town balance.’’

Cedarhurst. See ‘‘Hempstead town balance.’’

Cheektowaga town balance. The term ‘‘balance’’ after

the town refers to the residual portion of a town which

contains an incorporated place recognized for the 1992

Economic Census. Cheektowaga town balance contains

all of Cheektowaga town except the incorporated places of

Depew, Sloan, and Williamsville.

Chestnut Ridge. See ‘‘Ramapo town balance.’’

Cicero town balance. The term ‘‘balance’’ after the town

refers to the residual portion of a town which contains an

incorporated place recognized for the 1992 Economic

Census. Cicero town balance contains all of Cicero town

except the incorporated place of North Syracuse.

Clarkstown town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Census. Clarkstown town balance contains all of Clarkstown town except the incorporated places of Nyack and

Spring Valley.

Clay town balance. The term ‘‘balance’’ after the town

refers to the residual portion of a town which contains an

incorporated place recognized for the 1992 Economic

Census. Clay town balance contains all of Clay town

except the incorporated place of North Syracuse.

NEW YORK—Con.

Colonie. See ‘‘Colonie town balance.’’

Colonie town balance. The term ‘‘balance’’ after the town

refers to the residual portion of a town which contains an

incorporated place recognized for the 1992 Economic

Census. Colonie town balance contains all of Colonie town

except the incorporated places of Colonie and Menands.

Cortlandt town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Census. Cortlandt town balance contains all of Cortlandt

town except the incorporated place of Croton-on-Hudson.

Croton-on-Hudson. See ‘‘Cortlandt town balance.’’

Depew. See ‘‘Cheektowaga town balance’’ and ‘‘Lancaster town balance.’’

De Witt town balance. The term ‘‘balance’’ after the town

refers to the residual portion of a town which contains an

incorporated place recognized for the 1992 Economic

Census. De Witt town balance contains all of De Witt town

except the incorporated place of East Syracuse.

Dobbs Ferry. See ‘‘Greenburgh town balance.’’

Eastchester town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Census. Eastchester town balance contains all of Eastchester town except the incorporated places of Bronxville

and Tuckahoe.

East Hills. See ‘‘North Hempstead town balance’’ and

‘‘Oyster Bay town balance.’’

East Rockaway. See ‘‘Hempstead town balance.’’

East Syracuse. See ‘‘De Witt town balance.’’

East Williston. See ‘‘North Hempstead town balance.’’

Ellenville. See ‘‘Shawangunk town balance.’’

Elmsford. See ‘‘Greenburgh town balance.’’

Endicott. See ‘‘Union town balance.’’

Fairport. See ‘‘Perinton town balance.’’

Farmingdale. See ‘‘Oyster Bay town balance.’’

Fayetteville. See ‘‘Manlius town balance.’’

RETAIL TRADE—GEOGRAPHIC AREA SERIES APPENDIX F F–9
 JOBNAME: No Job Name PAGE: 10 SESS: 4 OUTPUT: Tue Nov 8 14:10:55 1994 /pssw01/disk2/economic/rc92a/52/14apdxf

NEW YORK—Con.

Floral Park. See ‘‘Hempstead town balance’’ and ‘‘North

Hempstead town balance.’’

Flower Hill. See ‘‘North Hempstead town balance.’’

Freeport. See ‘‘Hempstead town balance.’’

Garden City. See ‘‘Hempstead town balance’’ and ‘‘North

Hempstead town balance.’’

Geddes town balance. The term ‘‘balance’’ after the town

refers to the residual portion of a town which contains an

incorporated place recognized for the 1992 Economic

Census. Geddes town balance contains all of Geddes

town except the incorporated place of Solvay.

Geneva is in Ontario and Seneca Counties.

Glenville town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Census. Glenville town balance contains all of Glenville

town except the incorporated place of Scotia.

Gowanda is in Cattaraugus and Erie Counties.

Great Neck. See ‘‘North Hempstead town balance.’’

Great Neck Estates. See ‘‘North Hempstead town balance.’’

Great Neck Plaza. See ‘‘North Hempstead town balance.’’

Greenburgh town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Census. Greenburgh town balance contains all of Greenburgh town except the incorporated places of Ardsley,

Dobbs Ferry, Elmsford, Hastings-on-Hudson, Irvington,

and Tarrytown.

Greenwood Lake. See ‘‘Warwick town balance.’’

Hamburg. See ‘‘Hamburg town balance.’’

Hamburg town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Census. Hamburg town balance contains all of Hamburg

town except the incorporated places of Blasdell and

Hamburg.

Hastings-on-Hudson. See ‘‘Greenburgh town balance.’’

NEW YORK—Con.

Haverstraw. See ‘‘Haverstraw town balance.’’

Haverstraw town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Census. Haverstraw town balance contains all of Haverstraw town except the incorporated places of Haverstraw,

Pomona, and West Haverstraw.

Hempstead. See ‘‘Hempstead town balance.’’

Hempstead town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Census. Hempstead town balance contains all of Hempstead town except the incorporated places of Cedarhurst,

East Rockaway, Floral Park, Freeport, Garden City, Hempstead, Island Park, Lawrence, Lynbrook, Malverne, Mineola, New Hyde Park, Rockville Centre, and Valley Stream.

Huntington town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Census. Huntington town balance contains all of Huntington town except the incorporated places of Lloyd Harbor

and Northport.

Irvington. See ‘‘Greenburgh town balance.’’

Islandia. See ‘‘Islip town balance.’’

Island Park. See ‘‘Hempstead town balance.’’

Islip town balance. The term ‘‘balance’’ after the town

refers to the residual portion of a town which contains an

incorporated place recognized for the 1992 Economic

Census. Islip town balance contains all of Islip town except

the incorporated places of Brightwaters and Islandia.

Ithaca town balance. The term ‘‘balance’’ after the town

refers to the residual portion of a town which contains an

incorporated place recognized for the 1992 Economic

Census. Ithaca town balance contains all of Ithaca town

except the incorporated place of Cayuga Heights.

Johnson City. See ‘‘Union town balance.’’

Kenmore. See ‘‘Tonawanda town balance.’’

Kings Point. See ‘‘North Hempstead town balance.’’

Lake Grove. See ‘‘Brookhaven town balance.’’

Lancaster. See ‘‘Lancaster town balance.’’

F–10 APPENDIX F RETAIL TRADE—GEOGRAPHIC AREA SERIES
 JOBNAME: No Job Name PAGE: 11 SESS: 4 OUTPUT: Tue Nov 8 14:10:55 1994 /pssw01/disk2/economic/rc92a/52/14apdxf

NEW YORK—Con.

Lancaster town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Census. Lancaster town balance contains all of Lancaster

town except the incorporated places of Depew and Lancaster.

Larchmont. See ‘‘Mamaroneck town balance.’’

Lawrence. See ‘‘Hempstead town balance.’’

Lewiston. See ‘‘Lewiston town balance.’’

Lewiston town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Census. Lewiston town balance contains all of Lewiston

town except the incorporated place of Lewiston.

Lindenhurst. See ‘‘Babylon town balance.’’

Liverpool. See ‘‘Salina town balance.’’

Lloyd Harbor. See ‘‘Huntington town balance.’’

Lynbrook. See ‘‘Hempstead town balance.’’

Lysander town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Census. Lysander town balance contains all of Lysander

town except the incorporated place of Baldwinsville.

Malverne. See ‘‘Hempstead town balance.’’

Mamaroneck. See ‘‘Mamaroneck town balance.’’

Mamaroneck town balance. The term ‘‘balance’’ after

the town refers to the residual portion of a town which

contains an incorporated place recognized for the 1992

Economic Census. Mamaroneck town balance contains all

of Mamaroneck town except the incorporated places of

Larchmont and Mamaroneck.

Manlius. See ‘‘Manlius town balance.’’

Manlius town balance. The term ‘‘balance’’ after the town

refers to the residual portion of a town which contains an

incorporated place recognized for the 1992 Economic

Census. Manlius town balance contains all of Manlius town

except the incorporated places of Fayetteville, Manlius,

and Minoa.

Manorhaven. See ‘‘North Hempstead town balance.’’

Massapequa Park. See ‘‘Oyster Bay town balance.’’

NEW YORK—Con.

Menands. See ‘‘Colonie town balance.’’

Milton town balance. The term ‘‘balance’’ after the town

refers to the residual portion of a town which contains an

incorporated place recognized for the 1992 Economic

Census. Milton town balance contains all of Milton town

except the incorporated place of Ballston Spa.

Mineola. See ‘‘Hempstead town balance’’ and ‘‘North

Hempstead town balance.’’

Minoa. See ‘‘Manlius town balance.’’

Montebello. See ‘‘Ramapo town balance.’’

Mount Pleasant town balance. The term ‘‘balance’’ after

the town refers to the residual portion of a town which

contains an incorporated place recognized for the 1992

Economic Census. Mount Pleasant town balance contains

all of Mount Pleasant town except the incorporated places

of Briarcliff Manor, North Tarrytown, and Pleasantville.

Munsey Park. See ‘‘North Hempstead town balance.’’

Muttontown. See ‘‘Oyster Bay town balance.’’

New Hartford town balance. The term ‘‘balance’’ after

the town refers to the residual portion of a town which

contains an incorporated place recognized for the 1992

Economic Census. New Hartford town balance contains all

of New Hartford town except the incorporated place of

New York Mills.

New Hempstead. See ‘‘Ramapo town balance.’’

New Hyde Park. See ‘‘Hempstead town balance’’ and

‘‘North Hempstead town balance.’’

New Square. See ‘‘Ramapo town balance.’’

New Windsor town balance. The term ‘‘balance’’ after

the town refers to the residual portion of a town which

contains an incorporated place recognized for the 1992

Economic Census. New Windsor town balance contains all

of New Windsor town except the incorporated place of

Washingtonville.

New York is in Bronx, Kings, New York, Queens, and

Richmond Counties.

New York Mills. See ‘‘New Hartford town balance’’ and

‘‘Whitestown town balance.’’

RETAIL TRADE—GEOGRAPHIC AREA SERIES APPENDIX F F–11
 JOBNAME: No Job Name PAGE: 12 SESS: 4 OUTPUT: Tue Nov 8 14:10:55 1994 /pssw01/disk2/economic/rc92a/52/14apdxf

NEW YORK—Con.

North Hempstead town balance. The term ‘‘balance’’

after the town refers to the residual portion of a town which

contains an incorporated place recognized for the 1992

Economic Census. North Hempstead town balance contains all of North Hempstead town except the incorporated

places of East Hills, East Williston, Floral Park, Flower Hill,

Garden City, Great Neck, Great Neck Estates, Great Neck

Plaza, Kings Point, Manorhaven, Mineola, Munsey Park,

New Hyde Park, North Hills, Old Westbury, Port Washington North, Thomaston, Westbury, and Williston Park.

North Hills. See ‘‘North Hempstead town balance.’’

Northport. See ‘‘Huntington town balance.’’

North Syracuse. See ‘‘Cicero town balance’’ and ‘‘Clay

town balance.’’

North Tarrytown. See ‘‘Mount Pleasant town balance.’’

Nyack. See ‘‘Clarkstown town balance’’ and ‘‘Orangetown

town balance.’’

Ogden town balance. The term ‘‘balance’’ after the town

refers to the residual portion of a town which contains an

incorporated place recognized for the 1992 Economic

Census. Ogden town balance contains all of Ogden town

except the incorporated place of Spencerport.

Old Westbury. See ‘‘North Hempstead town balance’’

and ‘‘Oyster Bay town balance.’’

Orangetown town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Census. Orangetown town balance contains all of Orangetown town except the incorporated places of Nyack and

South Nyack.

Orchard Park. See ‘‘Orchard Park town balance.’’

Orchard Park town balance. The term ‘‘balance’’ after

the town refers to the residual portion of a town which

contains an incorporated place recognized for the 1992

Economic Census. Orchard Park town balance contains all

of Orchard Park town except the incorporated place of

Orchard Park.

Owego. See ‘‘Owego town balance.’’

Owego town balance. The term ‘‘balance’’ after the town

refers to the residual portion of a town which contains an

incorporated place recognized for the 1992 Economic

Census. Owego town balance contains all of Owego town

except the incorporated place of Owego.

NEW YORK—Con.

Oyster Bay town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Census. Oyster Bay town balance contains all of Oyster

Bay town except the incorporated places of Bayville,

Brookville, East Hills, Farmingdale, Massapequa Park,

Muttontown, Old Westbury, and Sea Cliff.

Patchogue. See ‘‘Brookhaven town balance.’’

Perinton town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Census. Perinton town balance contains all of Perinton

town except the incorporated place of Fairport.

Pleasantville. See ‘‘Mount Pleasant town balance.’’

Pomona. See ‘‘Haverstraw town balance’’ and ‘‘Ramapo

town balance.’’

Port Jefferson. See ‘‘Brookhaven town balance.’’

Port Washington North. See ‘‘North Hempstead town

balance.’’

Poughkeepsie town balance. The term ‘‘balance’’ after

the town refers to the residual portion of a town which

contains an incorporated place recognized for the 1992

Economic Census. Poughkeepsie town balance contains

all of Poughkeepsie town except the incorporated place of

Wappingers Falls.

Ramapo town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Census. Ramapo town balance contains all of Ramapo

town except the incorporated places of Airmont, Chestnut

Ridge, Montebello, New Hempstead, New Square, Pomona,

Sloatsburg, Spring Valley, Suffern, and Wesley Hills.

Rockville Centre. See ‘‘Hempstead town balance.’’

Salina town balance. The term ‘‘balance’’ after the town

refers to the residual portion of a town which contains an

incorporated place recognized for the 1992 Economic

Census. Salina town balance contains all of Salina town

except the incorporated place of Liverpool.

Saranac Lake is in Essex and Franklin Counties.

Saugerties. See ‘‘Saugerties town balance.’’

Saugerties town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Census. Saugerties town balance contains all of Saugerties town except the incorporated place of Saugerties.

F–12 APPENDIX F RETAIL TRADE—GEOGRAPHIC AREA SERIES
 JOBNAME: No Job Name PAGE: 13 SESS: 4 OUTPUT: Tue Nov 8 14:10:55 1994 /pssw01/disk2/economic/rc92a/52/14apdxf

NEW YORK—Con.

Scotia. See ‘‘Glenville town balance.’’

Sea Cliff. See ‘‘Oyster Bay town balance.’’

Shawangunk town balance. The term ‘‘balance’’ after

the town refers to the residual portion of a town which

contains an incorporated place recognized for the 1992

Economic Census. Shawangunk town balance contains all

of Shawangunk town except the incorporated place of

Ellenville.

Sloan. See ‘‘Cheektowaga town balance.’’

Sloatsburg. See ‘‘Ramapo town balance.’’

Solvay. See ‘‘Geddes town balance.’’

Southampton. See ‘‘Southampton town balance.’’

Southampton town balance. The term ‘‘balance’’ after

the town refers to the residual portion of a town which

contains an incorporated place recognized for the 1992

Economic Census. Southampton town balance contains

all of Southampton town except the incorporated place of

Southampton.

South Nyack. See ‘‘Orangetown town balance.’’

Spencerport. See ‘‘Ogden town balance.’’

Spring Valley.See ‘‘Clarkstown town balance’’ and ‘‘Ramapo town balance.’’

Suffern. See ‘‘Ramapo town balance.’’

Tarrytown. See ‘‘Greenburgh town balance.’’

Thomaston. See ‘‘North Hempstead town balance.’’

Tonawanda town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Census. Tonawanda town balance contains all of Tonawanda

town except the incorporated place of Kenmore.

Tuckahoe. See ‘‘Eastchester town balance.’’

Union town balance. The term ‘‘balance’’ after the town

refers to the residual portion of a town which contains an

incorporated place recognized for the 1992 Economic

Census. Union town balance contains all of Union town

except the incorporated places of Endicott and Johnson

City.

Valley Stream. See ‘‘Hempstead town balance.’’

NEW YORK—Con.

Van Buren town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Census. Van Buren town balance contains all of Van Buren

town except the incorporated place of Baldwinsville.

Wappinger Falls. See ‘‘Poughkeepsie town balance’’ and

‘‘Wappinger town balance.’’

Wappinger town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Census. Wappinger town balance contains all of Wappinger town except the incorporated place of Wappinger

Falls.

Warwick. See ‘‘Warwick town balance.’’

Warwick town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Censuses. Warwick town balance contains all of Warwick

town except the incorporated places of Greenwood Lake

and Warwick.

Washingtonville. See ‘‘Blooming Grove town balance’’

and ‘‘New Windsor town balance.’’

Webster. See ‘‘Webster town balance.’’

Webster town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Census. Webster town balance contains all of Webster

town except the incorporated place of Webster.

Wesley Hills. See ‘‘Ramapo town balance.’’

Westbury. See ‘‘North Hempstead town balance.’’

West Haverstraw. See ‘‘Haverstraw town balance.’’

Whitesboro. See ‘‘Whitestown town balance.’’

Whitestown town balance. The term ‘‘balance’’ after the

town refers to the residual portion of a town which contains

an incorporated place recognized for the 1992 Economic

Census. Whites- town town balance contains all of Whitestown town except the incorporated places of New York

Mills, Whitesboro, and Yorkville.

Williamsville. See ‘‘Amherst town balance’’ and ‘‘Cheektowaga town balance.’’

Williston Park. See ‘‘North Hempstead town balance.’’

Yorkville. See ‘‘Whitestown town balance.’’

RETAIL TRADE—GEOGRAPHIC AREA SERIES APPENDIX F F–13
 JOBNAME: No Job Name PAGE: 14 SESS: 4 OUTPUT: Tue Nov 8 14:10:55 1994 /pssw01/disk2/economic/rc92a/52/14apdxf

NORTH CAROLINA

Archdale is in Guilford and Randolph Counties.

Chapel Hill is in Durham and Orange Counties.

Davidson is in Iredell and Mecklenburg Counties.

Durham is in Durham and Orange Counties.

Elizabeth City is in Camden and Pasquotank Counties.

Elkin is in Surry and Wilkes Counties.

Fletcher was incorporated in June 1989.

Gibsonville is in Alamance and Guilford Counties.

Hickory is in Burke and Catawba Counties.

High Point is in Davidson, Forsyth, Guilford, and Randolph

Counties; it annexed into Forsyth County in February 1989.

Kannapolis is in Cabarrus and Rowan Counties.

Kernersville is in Forsyth and Guilford Counties; it annexed

into Guilford County in June 1989.

King is in Forsyth and Stokes Counties; it annexed into

Forsyth County in June 1987.

Kings Mountain is in Cleveland and Gaston Counties.

Lewisville was incorporated in August 1991.

Long View is in Burke and Catawba Counties.

Maxton is in Robeson and Scotland Counties.

Mebane is in Alamance and Orange Counties.

Mount Olive is in Duplin and Wayne Counties.

Rocky Mount is in Edgecombe and Nash Counties.

Sawmills was incorporated in July 1988.

Wallace is in Duplin and Pender Counties.

Weddington is in Mecklenburg and Union Counties; it

annexed into Mecklenburg County in December 1985, but

this change was not submitted to the Bureau of the Census

until April 1989.

NORTH DAKOTA

There are no geographic notes for the State of North

Dakota.

OHIO

Alliance is in Mahoning and Stark Counties.

Bellevue is in Huron and Sandusky Counties.

Blanchester is in Clinton and Warren Counties.

Bluffton is in Allen and Hancock Counties.

Canal Winchester is in Fairfield and Franklin Counties.

Carlisle is in Montgomery and Warren Counties.

Columbiana is in Columbiana and Mahoning Counties.

Columbus is in Delaware, Fairfield, and Franklin Counties;

it annexed into Delaware County in December 1990.

Crestline is in Crawford and Richland Counties.

Delphos is in Allen and Van Wert Counties.

Dublin is in Delaware, Franklin, and Union Counties.

Fairfield is in Butler and Hamilton Counties.

Fostoria is in Hancock, Seneca, and Wood Counties.

Green was incorporated in January 1991.

Huber Heights is in Miami and Montgomery Counties; it

annexed into Miami County in March 1989.

Kettering is in Greene and Montgomery Counties.

Loudonville is in Ashland and Holmes Counties.

Loveland is in Clermont, Hamilton, and Warren Counties.

Middletown is in Butler and Warren Counties.

Milford is in Clermont and Hamilton Counties.

Minerva is in Carroll, Columbiana, and Stark Counties.

Mogadore is in Portage and Summit Counties.

Monroe is in Butler and Warren Counties.

Norton is in Summit and Wayne Counties.

F–14 APPENDIX F RETAIL TRADE—GEOGRAPHIC AREA SERIES
 JOBNAME: No Job Name PAGE: 15 SESS: 4 OUTPUT: Tue Nov 8 14:10:55 1994 /pssw01/disk2/economic/rc92a/52/14apdxf

OHIO—Con.

Pickerington is in Fairfield and Franklin Counties.

Reynoldsburg is in Fairfield, Franklin, and Licking Counties.

Rittman is in Medina and Wayne Counties.

Sharonville is in Butler and Hamilton Counties; it annexed

into Butler County in March 1989.

Springboro is in Montgomery and Warren Counties; it

annexed into Montgomery County in February 1987.

Swanton is in Fulton and Lucas Counties.

Tallmadge is in Portage and Summit Counties; it annexed

into Portage County in December 1990.

Vermilion is in Erie and Lorain Counties.

Westerville is in Delaware and Franklin Counties.

Youngstown is in Mahoning and Trumbull Counties.

OKLAHOMA

Bartlesville is in Osage and Washington Counties.

Bixby is in Tulsa and Wagoner Counties.

Broken Arrow is in Tulsa and Wagoner Counties.

Catoosa is in Rogers and Wagoner Counties; it annexed

into Wagoner County in January 1990.

Clinton is in Custer and Washita Counties.

Collinsville is in Rogers and Tulsa Counties.

Davis is in Garvin and Murray Counties.

Drumright is in Creek and Payne Counties.

Oklahoma City is in Canadian, Cleveland, McClain, Oklahoma, and Pottawatomie Counties; it detached from Logan

County in April 1987.

Owasso is in Rogers and Tulsa Counties; it annexed into

Rogers County in June 1973, but this change was not

recognized for economic census purposes until 1992.

Piedmont is in Canadian and Kingfisher Counties.

Ponca City is in Kay and Osage Counties.

OKLAHOMA—Con.

Purcell is in Cleveland and McClain Counties.

Sand Springs is in Osage and Tulsa Counties.

Skiatook is in Osage and Tulsa Counties.

Stroud is in Creek and Lincoln Counties.

Tulsa is in Osage, Rogers, and Tulsa Counties; it annexed

into Rogers County in July 1973, but this change was not

recognized for economic census purposes until 1992.

OREGON

Albany is in Benton and Linn Counties.

Lake Oswego is in Clackamas, Multnomah, and Washington Counties.

Milwaukie is in Clackamas and Multnomah Counties.

Portland is in Clackamas, Multnomah, and Washington

Counties.

Salem is in Marion and Polk Counties.

Tualatin is in Clackamas and Washington Counties.

Wilsonville is in Clackamas and Washington Counties.

PENNSYLVANIA

Ashland is only in Schuylkill County; although previously

reported as also in Columbia County, this has never been

so.

Bethlehem is in Lehigh and Northampton Counties.

Ellwood City is in Beaver and Lawrence Counties.

Municipality of Monroeville name was changed from

Monroeville in May 1974, but this change was not submitted to the Bureau of the Census until January 1990.

Shippensburg is in Cumberland and Franklin Counties.

Telford is in Bucks and Montgomery Counties.

Trafford is in Allegheny and Westmoreland Counties.

RHODE ISLAND

There are no geographic notes for the State of Rhode

Island.

RETAIL TRADE—GEOGRAPHIC AREA SERIES APPENDIX F F–15
 JOBNAME: No Job Name PAGE: 16 SESS: 4 OUTPUT: Tue Nov 8 14:10:55 1994 /pssw01/disk2/economic/rc92a/52/14apdxf

SOUTH CAROLINA

Andrews is in Georgetown and Williamsburg Counties.

Batesburg is in Lexington and Saluda Counties.

Charleston is in Berkeley and Charleston Counties; it

annexed into Berkeley County in October 1991.

Clemson is in Anderson and Pickens Counties.

Columbia is in Lexington and Richland Counties; it annexed

into Lexington County in December 1989.

Fountain Inn is in Greenville and Laurens Counties.

Goose Creek is in Berkeley and Charleston Counties; it

annexed into Charleston County in January 1987.

Greer is in Greenville and Spartanburg Counties.

Honea Path is in Abbeville and Anderson Counties.

Irmo is in Lexington and Richland Counties.

North Augusta is in Aiken and Edgefield Counties.

North Charleston is in Berkeley, Charleston, and Dorchester Counties.

Summerville is in Berkeley, Charleston, and Dorchester

Counties; it annexed into Berkeley County in March 1984,

but this change was not submitted to the Bureau of the

Census until July 1989; it annexed into Charleston County

in November 1984, but this change was not submitted to

the Bureau of the Census until September 1989.

SOUTH DAKOTA

Sioux Falls is in Lincoln and Minnehaha Counties.

TENNESSEE

Belle Meade. See ‘‘Nashville-Davidson consolidated city.’’

Farragut is in Knox and Loudon Counties; it annexed into

Loudon County in February 1986, but this change was not

submitted to the Bureau of the Census until March 1988.

Forest Hills. See ‘‘Nashville-Davidson consolidated city.’’

Goodlettsville is in Davidson and Sumner Counties; see

‘‘Nashville-Davidson consolidated city.’’

Harriman is in Morgan and Roane Counties; it annexed

into Morgan County in December 1981, but this change

was not submitted to the Bureau of the Census until May

1989.

TENNESSEE—Con.

Humboldt is in Gibson and Madison Counties; it annexed

into Madison County in February 1989.

Johnson City is in Carter, Sullivan, and Washington

Counties; it annexed into Sullivan County in July 1987.

Kingsport is in Hawkins and Sullivan Counties.

Lynchburg, Moore County was created when Lynchburg

and Moore County dissolved their respective governments

and consolidated as ‘‘The Metropolitan Government of

Lynchburg, Moore County, Tennessee’’ in January 1988.

McKenzie is in Carroll, Henry, and Weakley Counties.

Millersvilleis in Robertson and Sumner Counties; it annexed

into Robertson County in September 1986, but this change

was not submitted to the Bureau of the Census until

December 1991.

Nashville-Davidson (balance). See ‘‘Nashville-Davidson

consolidated city.’’

Nashville-Davidson consolidated city (the ‘‘Metropolitan Government of Nashville and Davidson County’’) is

coextensive with Davidson County. It includes the incorporated places of Belle Meade, Forest Hills, Goodlettsville

(partially in Sumner County), and Oak Hill, which are

tabulated separately. The other three incorporated places—

Berry Hill, Lakewood, and Ridgetop (partially in Robertson

County)—are not populous enough for separate tabulation

and, therefore, are included in the ‘‘Nashville-Davidson

(balance),’’ which is a place equivalent.

Oak Hill. See ‘‘Nashville-Davidson consolidated city.’’

Oak Ridge is in Anderson and Roane Counties.

Oliver Springs is in Anderson, Morgan, and Roane Counties.

Sweetwater is in McMinn and Monroe Counties; it annexed

into McMinn County in September 1983, but this change

was not submitted to the Bureau of the Census until March

1988.

Tullahoma is in Coffee and Franklin Counties.

White House is in Robertson and Sumner Counties.

TEXAS

Abernathy is in Hale and Lubbock Counties.

Abilene is in Jones and Taylor Counties.

F–16 APPENDIX F RETAIL TRADE—GEOGRAPHIC AREA SERIES
 JOBNAME: No Job Name PAGE: 17 SESS: 4 OUTPUT: Tue Nov 8 14:10:55 1994 /pssw01/disk2/economic/rc92a/52/14apdxf

TEXAS—Con.

Amarillo is in Potter and Randall Counties.

Aransas Pass is in Aransas, Nueces, and San Patricio

Counties.

Austin is in Travis and Williamson Counties; the Bureau of

the Census received notification of its detachment from

Burnet County in May 1990.

Azle is in Parker and Tarrant Counties.

Baytown is in Chambers and Harris Counties.

Burleson is in Johnson and Tarrant Counties.

Carrollton is in Collin, Dallas, and Denton Counties.

Cedar Hill is in Dallas and Ellis Counties.

Cedar Park is in Travis and Williamson Counties; it annexed

into Travis County in April 1987.

Coppell is in Dallas and Denton Counties.

Copperas Cove is in Coryell and Lampasas Counties.

Corpus Christi is in Kleberg, Nueces, and San Patricio

Counties.

Crowley is in Johnson and Tarrant Counties; it annexed

into Johnson County in April 1986, but this change was not

submitted to the Bureau of the Census until June 1987.

Dalhart is in Dallam and Hartley Counties.

Dallas is in Collin, Dallas, Denton, Kaufman, and Rockwall

Counties.

Flower Mound is in Dallas, Denton, and Tarrant Counties;

it became part of Dallas County in May 1987 when the

Dallas County/Denton County boundary changed; it annexed

into Tarrant County in December 1987.

Fort Worth is in Denton and Tarrant Counties; it annexed

into Denton County in September 1987.

Friendswood is in Galveston and Harris Counties.

Frisco is in Collin and Denton Counties.

Garland is in Collin, Dallas, and Rockwall Counties.

Gladewater is in Gregg and Upshur Counties.

Glenn Heights is in Dallas and Ellis Counties.

TEXAS—Con.

Grand Prairie is in Dallas, Ellis, and Tarrant Counties.

Grapevine is in Dallas, Denton, and Tarrant Counties.

Hamlin is in Fisher and Jones Counties.

Houston is in Fort Bend, Harris, and Montgomery Counties.

Katy is in Fort Bend, Harris, and Waller Counties.

Kilgore is in Gregg and Rusk Counties.

League City is in Galveston and Harris Counties; it

annexed into Harris County in December 1986, but this

change was not submitted to the Bureau of the Census

until November 1987.

Leander is in Travis and Williamson Counties; it annexed

into Travis County in October 1989.

Lewisville is in Dallas and Denton Counties.

Longview is in Gregg and Harrison Counties.

Mansfield is in Ellis, Johnson, and Tarrant Counties; it

annexed into Ellis County in July 1985, but this change was

not submitted to the Bureau of the Census until February

1988.

Midland is in Martin and Midland Counties; it annexed into

Martin County in January 1987.

Mineral Wells is in Palo Pinto and Parker Counties.

Missouri City is in Fort Bend and Harris Counties.

Monahans is in Ward and Winkler Counties.

New Braunfels is in Comal and Guadalupe Counties.

Odessa is in Ector and Midland Counties.

Pearland is in Brazoria and Harris Counties.

Plano is in Collin and Denton Counties.

Portland is in Nueces and San Patricio Counties.

Richardson is in Collin and Dallas Counties.

Rio Bravo was incorporated in May 1989.

Round Rock is in Travis and Williamson Counties.

RETAIL TRADE—GEOGRAPHIC AREA SERIES APPENDIX F F–17
 JOBNAME: No Job Name PAGE: 18 SESS: 4 OUTPUT: Tue Nov 8 14:10:55 1994 /pssw01/disk2/economic/rc92a/52/14apdxf

TEXAS—Con.

Rowlett is in Dallas and Rockwall Counties.

Sachse is in Collin and Dallas Counties.

San Diego is in Duval and Jim Wells Counties.

San Marcos is in Caldwell and Hays Counties.

Schertz is in Bexar, Comal, and Guadalupe Counties.

Seabrook is in Chambers, Galveston, and Harris Counties.

Seagoville is in Dallas and Kaufman Counties.

Socorro was incorporated in April 1986, but this change

was not submitted to the Bureau of the Census until

January 1989.

Southlake is in Denton and Tarrant Counties.

Stafford is in Fort Bend and Harris Counties.

Stamford is in Haskell and Jones Counties.

Tomball is in Harris and Montgomery Counties; it annexed

into Montgomery County in 1960, but this change was not

submitted to the Bureau of the Census until February 1990.

Trophy Club is in Denton and Tarrant Counties; it annexed

into Tarrant County after 1987.

Wichita Falls is in Archer and Wichita Counties.

Winnsboro is in Franklin and Wood Counties.

Wylie is in Collin, Dallas, and Rockwall Counties.

Yoakum is in DeWitt and Lavaca Counties.

UTAH

Draper is in Salt Lake and Utah Counties; it annexed into

Utah County in December 1987.

Park City is in Summit and Wasatch Counties.

VERMONT

There are no geographic notes for the State of Vermont.

VIRGINIA

Farmville is in Cumberland and Prince Edward Counties.

WASHINGTON

Bothell is in King and Snohomish Counties.

Enumclaw is in King and Pierce Counties; it annexed into

Pierce County in January 1990.

Federal Way was incorporated in February 1990.

Milton is in King and Pierce Counties.

Pacific is in King and Pierce Counties; it annexed into

Pierce County in September 1988.

SeaTac was incorporated in February 1990.

Woodland is in Clark and Cowlitz Counties.

WEST VIRGINIA

Huntington is in Cabell and Wayne Counties.

Nitro is in Kanawha and Putnam Counties.

Paden City is in Tyler and Wetzel Counties.

Weirton is in Brooke and Hancock Counties.

Wheeling is in Marshall and Ohio Counties.

WISCONSIN

Note: This is the first economic census in which the Bureau

of the Census has recognized special economic urban

areas in Wisconsin. In Wisconsin, special economic urban

areas, which are place equivalents, are towns that have a

population of 10,000 or more.

Allouez was incorporated in February 1986, but this

change was not submitted to the Bureau of the Census

until May 1988.

Appleton is in Calumet, Outagamie, and Winnebago Counties.

Bayside is in Milwaukee and Ozaukee Counties.

Berlin is in Green Lake and Waushara Counties.

Burlington is in Racine and Walworth Counties.

Columbus is in Columbia and Dodge Counties.

Eau Claire is in Chippewa and Eau Claire Counties.

Hartford is in Dodge and Washington Counties; it annexed

into Dodge County in October 1987.

F–18 APPENDIX F RETAIL TRADE—GEOGRAPHIC AREA SERIES
 JOBNAME: No Job Name PAGE: 19 SESS: 4 OUTPUT: Tue Nov 8 14:10:55 1994 /pssw01/disk2/economic/rc92a/52/14apdxf

WISCONSIN—Con.

Kewaskum is in Fond du Lac and Washington Counties.

Kiel is in Calumet and Manitowoc Counties.

Marshfield is in Marathon and Wood Counties.

Menasha is in Calumet and Winnebago Counties.

Milwaukee is in Milwaukee, Washington, and Waukesha

Counties; it annexed into Waukesha County in July 1989.

Mukwonago is in Walworth and Waukesha Counties; it

annexed into Walworth County in April 1991.

WISCONSIN—Con.

New London is in Outagamie and Waupaca Counties.

Pleasant Prairie was incorporated in April 1989.

River Falls is in Pierce and St. Croix Counties.

Watertown is in Dodge and Jefferson Counties.

Waupun is in Dodge and Fond du Lac Counties.

Whitewater is in Jefferson and Walworth Counties.

WYOMING

There are no geographic notes for the State of Wyoming.

RETAIL TRADE—GEOGRAPHIC AREA SERIES APPENDIX F F–19
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 102

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

Appendix G.

Establishments in Business Any Time During Year and

Establishments in Business at End of Year for the United

States: 1992 and 1987

[Includes only establishments with payroll. For meaning of abbreviations and symbols, see introductory text. For explanation of terms and comparability of 1987 and 1992 censuses, see

appendix A]

SIC code Kind of business

Establishments in business m

Any time during year At end of year

1992 1987 1992 1987

Retail trade ---------------------------------------------------------------- 1 526 215 1 503 593 1 387 291 1 376 961

52 Building materials and garden supplies stores 69 --------------------------------------- 483 73 805 64 673 69 225

521, 3 Building materials and supply stores 35 ------------------------------------------------- 589 38 001 33 116 35 859

521 Lumber and other building materials dealers 25 --------------------------------------- 401 27 497 23 600 26 007

523 Paint, glass, and wallpaper stores 10 ------------------------------------------------- 188 10 504 9 516 9 852

525 Hardware stores ------------------------------------------------------------------ 18 984 20 059 17 697 18 796

526 Retail nurseries, lawn and garden supply stores 10 -------------------------------------- 857 10 692 10 078 10 038

527 Manufactured (mobile) home dealers 4 ------------------------------------------------ 053 5 053 3 782 4 532

53 General merchandise stores -------------------------------------------------------- 34 606 35 434 32 494 33 244

531 Department stores (incl. leased depts.) 1 2 3 ------------------------------------------ 11 001 10 041 10 679 9 903

531 pt. Conventional 1 2 ----------------------------------------------------------------- 2 388 2 425 2 308 2 371

531 pt. Discount or mass merchandising 1 2 ----------------------------------------------- 6 737 5 798 6 523 5 720

531 pt. National chain 1 2 ---------------------------------------------------------------- 1 876 1 818 1 848 1 812

531 Department stores (excl. leased depts.) 1--------------------------------------------- 11 001 10 041 10 679 9 903

531 pt. Conventional 1------------------------------------------------------------------- 2 388 2 425 2 308 2 371

531 pt. Discount or mass merchandising 1 ------------------------------------------------- 6 737 5 798 6 523 5 720

531 pt. National chain 1 ----------------------------------------------------------------- 1 876 1 818 1 848 1 812

533 Variety stores --------------------------------------------------------------------- 12 561 10 424 11 817 9 650

539 Miscellaneous general merchandise stores 11 ------------------------------------------- 044 14 969 9 998 13 691

539 pt. Warehouse clubs ---------------------------------------------------------------- 616 281 610 (NA)

539 pt. Catalog showrooms ------------------------------------------------------------- 917 904 831 879

539 pt. Other miscellaneous general merchandise stores 9 ----------------------------------- 511 13 784 8 557 (NA)

54 Food stores ----------------------------------------------------------------------- 180 568 190 706 162 939 173 227

541 Grocery stores -------------------------------------------------------------------- 133 263 137 584 120 673 125 595

541 pt. Supermarkets and other general-line grocery stores 73 --------------------------------- 357 83 958 66 876 75 821

541 pt. Convenience food stores --------------------------------------------------------- 30 748 30 864 27 418 28 174

541 pt. Convenience food/gasoline stores 23 ------------------------------------------------ 035 18 650 20 913 17 845

541 pt. Delicatessens ------------------------------------------------------------------- 6 123 4 112 5 466 3 755

542 Meat and fish (seafood) markets ---------------------------------------------------- 8 941 11 364 8 025 10 265

546 Retail bakeries -------------------------------------------------------------------- 20 418 21 790 18 253 19 370

546 pt. Retail bakeries mbaking and selling 18 ----------------------------------------------- 428 19 626 16 424 17 491

546 pt. Retail bakeries mselling only ------------------------------------------------------ 1 990 2 164 1 829 1 879

543, 4, 5,

9

Other food stores ----------------------------------------------------------------- 17 946 19 968 15 988 17 997

543 Fruit and vegetable markets ------------------------------------------------------ 2 971 3 271 2 661 2 945

544 Candy, nut, and confectionery stores 5 ---------------------------------------------- 029 6 124 4 297 5 472

545 Dairy products stores ------------------------------------------------------------ 2 340 3 302 2 089 2 982

549 Miscellaneous food stores ------------------------------------------------------- 7 606 7 271 6 941 6 598

55 ex.

554

Automotive dealers ---------------------------------------------------------------- 96 373 102 704 89 320 95 669

551 New and used car dealers --------------------------------------------------------- 24 380 28 320 23 035 26 919

552 Used car dealers ------------------------------------------------------------------ 18 672 14 948 16 822 13 617

553 Auto and home supply stores ------------------------------------------------------ 41 308 46 207 38 250 42 834

553 pt. Auto parts, tires, and accessories stores 39 ------------------------------------------- 154 41 590 36 307 38 618

553 pt. Home and auto supply stores ---------------------------------------------------- 2 154 4 617 1 943 4 216

555, 6, 7,

9

Miscellaneous automotive dealers --------------------------------------------------- 12 013 13 229 11 213 12 299

555 Boat dealers -------------------------------------------------------------------- 4 773 5 174 4 447 4 838 556 Recreational vehicle dealers ------------------------------------------------------ 2 826 3 006 2 640 2 830

557 Motorcycle dealers -------------------------------------------------------------- 3 585 4 197 3 382 3 869

559 Automotive dealers, n.e.c. -------------------------------------------------------- 829 852 744 762

554 Gasoline service stations ----------------------------------------------------------- 105 334 114 748 96 428 105 561

554 pt. Gasoline/convenience food stores 33 -------------------------------------------------- 998 15 625 31 873 15 011 554 pt. Other gasoline service stations and truck stops 71 -------------------------------------- 336 99 123 64 555 90 550

56 Apparel and accessory stores ------------------------------------------------------ 145 490 149 435 131 504 137 496

561 Men’s and boys’ clothing and accessory stores 15 -------------------------------------- 566 16 507 14 008 15 023

562, 3 Women’s clothing and specialty stores 58 ---------------------------------------------- 970 59 794 52 787 55 284

562 Women’s clothing stores --------------------------------------------------------- 50 174 52 304 44 898 48 462

563 Women’s accessory and specialty stores 8 ------------------------------------------ 796 7 490 7 889 6 822

563 pt. Furriers and fur shops --------------------------------------------------------- 780 1 101 672 1 014

563 pt. Other women’s accessory and specialty stores 8 ----------------------------------- 016 6 389 7 217 5 808

565 Family clothing stores ------------------------------------------------------------- 19 452 18 443 17 867 17 121

See footnotes at end of table.

RETAIL TRADEmGEOGRAPHIC AREA SERIES APPENDIX GnnG–1
TIPS [UPF] BATCH_1068 [UFCB,B_LAMBERT] UFCB 11/ 9/94 11:21 AM MACHINE: EPCV22 DATA:R_US_TIPS.DAT;1 11/ 9/94 09:24:00 TAPE: NOreel FRAME: 103

TSF:R_US_TIPS92.DAT;1 11/ 9/94 09:25:40 UTF:R_US_TIPS93.DAT;1 11/ 9/94 09:25:40 META:R_US_TIPS96.DAT;1 11/ 9/94 09:29:33

SIC code Kind of business

Establishments in business m

Any time during year At end of year

1992 1987 1992 1987

56 Apparel and accessory stores mCon.

566 Shoe stores --------------------------------------------------------- 37 206 39 488 34 162 36 358

566 pt. Men’s shoe stores ------------------------------------------------- 2 946 3 866 2 668 3 560

566 pt. Women’s shoe stores ---------------------------------------------- 7 088 9 272 6 206 8 475

566 pt. Children’s and juveniles’ shoe stores 1 --------------------------------- 205 1 268 1 109 1 173

566 pt. Family shoe stores ------------------------------------------------- 21 358 (NA) 19 842 (NA)

566 pt. Athletic footwear stores 4 -------------------------------------------- 609 (NA) 4 337 (NA)

564, 9 Other apparel and accessory stores 14 ----------------------------------- 296 15 203 12 680 13 710 564 Children’s and infants’ wear stores 5 ---------------------------------- 637 6 146 4 961 5 490 569 Miscellaneous apparel and accessory stores 8 -------------------------- 659 9 057 7 719 8 220

57 Furniture and homefurnishings stores 110 --------------------------------- 073 109 653 100 621 101 445

5712 Furniture stores ------------------------------------------------------ 32 478 32 763 29 746 30 415

5713, 4, 9 Homefurnishings stores 33 ----------------------------------------------- 017 31 986 30 460 29 720 5713 Floor covering stores 13 ----------------------------------------------- 648 13 752 12 601 12 841 5714 Drapery, curtain, and upholstery stores 2 ------------------------------- 877 3 856 2 639 3 590 5719 Miscellaneous homefurnishings stores 16 ------------------------------- 492 14 378 15 220 13 289

572 Household appliance stores 9 ------------------------------------------- 743 11 192 8 896 10 421

573 Radio, television, computer, and music stores 34 --------------------------- 835 33 712 31 519 30 889

5731 Radio, television, and electronics stores 17 ------------------------------ 324 18 892 15 623 17 251

5734 Computer and software stores 5 -------------------------------------- 438 3 858 4 767 3 404

5735 Record and prerecorded tape stores 7 --------------------------------- 924 6 272 7 280 5 855

5736 Musical instrument stores 4 ------------------------------------------- 149 4 690 3 849 4 379

58 Eating and drinking places 433 -------------------------------------------- 608 391 303 388 384 350 668

5812 Eating places -------------------------------------------------------- 377 760 332 611 339 030 298 821

5812 pt. Restaurants ------------------------------------------------------- 170 183 154 721 152 557 138 374

5812 pt. Cafeterias --------------------------------------------------------- 5 513 7 297 4 888 6 543

5812 pt. Refreshment places 164 ------------------------------------------------ 341 138 104 147 749 124 709

5812 pt. Other eating places ------------------------------------------------ 37 723 32 489 33 836 29 195

5812 pt. Social caterers -------------------------------------------------- 5 879 4 796 5 275 4 349

5812 pt. Contract feeding ------------------------------------------------- 19 117 15 739 17 259 14 214

5812 pt. Ice cream and frozen yogurt shops 12 -------------------------------- 727 11 954 11 302 10 632

5813 Drinking places ------------------------------------------------------ 55 848 58 692 49 354 51 847

591 Drug and proprietary stores 48 ------------------------------------------- 142 52 181 45 332 49 509

591 pt. Drug stores --------------------------------------------------------- 46 304 49 570 43 685 47 110

591 pt. Proprietary stores ---------------------------------------------------- 1 838 2 611 1 647 2 399

59 ex. 591 Miscellaneous retail stores 302 -------------------------------------------- 538 283 624 275 596 260 917

592 Liquor stores -------------------------------------------------------- 31 386 35 194 28 636 31 955 593 Used merchandise stores 19 --------------------------------------------- 826 14 871 18 226 13 736

594 Miscellaneous shopping goods stores 127 ---------------------------------- 312 122 850 116 040 113 070

5941 Sporting goods stores and bicycle shops 23 ----------------------------- 314 21 601 21 292 19 825

5941 pt. General line sporting goods stores 7 --------------------------------- 714 7 959 7 049 7 281

5941 pt. Specialty line sporting goods stores 15 -------------------------------- 600 13 642 14 243 12 544

5942 Book stores ------------------------------------------------------- 12 887 11 076 12 001 10 335

5944 Jewelry stores ----------------------------------------------------- 28 077 28 050 25 566 26 094

5943, 5, 6, 7,

8, 9

Other miscellaneous shopping goods stores 63 -------------------------- 034 62 123 57 181 56 816

5943 Stationery stores ------------------------------------------------- 4 344 4 817 3 867 4 376

5945 Hobby, toy, and game shops 10 -------------------------------------- 860 9 629 9 771 8 855

5946 Camera and photographic supply stores 3 ---------------------------- 012 3 791 2 778 3 532

5947 Gift, novelty, and souvenir shops 34 ---------------------------------- 647 32 245 31 455 29 507

5948 Luggage and leather goods stores 1 --------------------------------- 907 2 009 1 755 1 846

5949 Sewing, needlework, and piece goods stores 8 ----------------------- 264 9 632 7 555 8 700

596 Nonstore retailers ---------------------------------------------------- 27 805 23 064 25 617 21 553 5961 Catalog and mail-order houses 7 -------------------------------------- 773 7 227 7 155 6 825 5961 pt. Department store merchandise 1 ------------------------------------ 859 2 169 1 687 2 046 5961 pt. Other general merchandise 868 --------------------------------------- 815 775 771 5961 pt. Specialized merchandise 5 ----------------------------------------- 046 4 243 4 693 4 008

5962 Automatic merchandising machine operators 6 -------------------------- 391 5 302 5 919 4 955

5963 Direct selling establishments 13 ---------------------------------------- 641 10 535 12 543 9 773

5963 pt. Furniture, homefurnishings, and equipment 3 ------------------------- 164 2 749 2 898 2 581

5963 pt. Mobile food service ---------------------------------------------- 1 965 1 646 1 786 1 490

5963 pt. Books and stationery --------------------------------------------- 450 622 418 553

5963 pt. Other ----------------------------------------------------------- 8 062 5 518 7 441 5 149

598 Fuel dealers --------------------------------------------------------- 10 973 12 743 10 335 12 072 5983 Fuel oil dealers ---------------------------------------------------- 5 025 5 816 4 710 5 511 5984 Liquefied petroleum gas (bottled gas) dealers 5 ------------------------- 651 6 378 5 362 6 073 5989 Fuel dealers, n.e.c. ------------------------------------------------- 297 549 263 488

5992 Florists ------------------------------------------------------------- 27 341 26 683 24 611 24 245

5993 Tobacco stores and stands 1 ------------------------------------------- 477 1 948 1 316 1 743

5994 News dealers and newsstands 2 ---------------------------------------- 260 2 198 2 033 2 006

5995 Optical goods stores ------------------------------------------------- 14 160 13 580 13 000 12 589

5999 Miscellaneous retail stores, n.e.c. 39 -------------------------------------- 998 30 493 35 782 27 948

5999 pt. Pet shops --------------------------------------------------------- 7 160 5 475 6 440 5 023 5999 pt. Art dealers -------------------------------------------------------- 5 010 3 173 4 543 2 983 5999 pt. Other miscellaneous retail stores, n.e.c. 27 ------------------------------ 828 21 845 24 799 19 942

1Includes sales from catalog order desks.

2Includes data for leased departments operated within department stores.

3Data for this line not included in broader kind-of-business totals.

G–2nnAPPENDIX G RETAIL TRADEmGEOGRAPHIC AREA SERIES
 JOBNAME: No Job Name PAGE: 1 SESS: 24 OUTPUT: Tue Jul 12 15:22:00 1994 /pssw01/disk2/economic/rc92a/0/16bcvr

1992 CENSUS OF RETAIL TRADE

Publications of the 1992 Census of Retail Trade, containing

data on retail establishments in the United States, are described

below. Publications order forms for specific reports may be

obtained from any Department of Commerce district office or

from Data User Services Division, Customer Services , Bureau of

the Census, Washington, DC 20233-8300. The first results were

issued in press releases. Final detailed statistics are issued in

separate paperbound reports and compact disc-read only memory

(CD-ROM).

Final Reports

Geographic area series—52 reports

(RC92-A-1 to -52)

A separate paperbound report containing data for establishments with payroll is published for each State, the District of

Columbia, and the United States. Each report presents general

statistics for establishments with payroll including number of

establishments, sales, payroll, and employment by varied retail

classifications. All statistics are presented for the State, metropolitan areas (MA’s), counties, and places with 2,500 inhabitants

or more. Greater kind-of-business detail is shown for larger areas.

For each State, the District of Columbia, and the United States,

1992 data are provided by kind of business on sales and

employees per establishment and sales and payroll per employee.

Comparative statistics showing percent changes in sales and

payroll between 1987 and 1992 are shown by kind of business.

Nonemployer statistics series—1 report

(RC92-N-1)

This report includes number of establishments and sales by

kind of business for all establishments, establishments with

payroll, and establishments without payroll for the United States

and States. Data on sales size of establishments without payroll

and the number of proprietorships and partnerships is also

provided for the United States. Also presented are statistics for

establishments without payroll including number of establishments and sales by varied retail classifications for MA’s. Similar

data for counties and places with 2,500 inhabitants or more are

available on electronic media only.

Subject series—4 reports

(RC92-S-1 to -4)

The Establishment and Firm Size report (RC92-S-1) presents

data for establishments with payroll, based on size of establishment, size of company or firm, and legal form of organization.

Establishment statistics are presented by sales size and by

employment size; statistics for firms by sales size (including

concentration by largest firms), by employment size, and by

number of establishments operated (single units and multiunits).

Statistics are presented by kind of business on the number of

establishments, sales, payroll, and employment for the United

States.

The Measures of Value Produced, Capital Expenditures, Depreciable Assets, and Operating Expenses report (RC92-S-2) presents data on measures of value produced, capital expenditures,

depreciable assets, and operating expenses for firms with payroll

for the United States by major kind of business. Operating

expenses include annual payroll, supplemental labor costs, purchased services, etc. Receipts data also are provided.

The Merchandise Line Sales report (RC92-S-3) presents data

on major categories of merchandise sold by retail kinds of

business for each State and the District of Columbia, each MA,

and the United States as a whole. Data for States and MA’s will

be available on electronic media only. Tables present data for

establishments with payroll for each kind of business and show,

for each merchandise line, the number of establishments handling the line and their sales of the line; the percentage of total

sales of the kind of business accounted for by each of the lines

carried; and, for establishments actually handling a specific line,

the percentage of their total sales represented by sales of that

line. Summary statistics also are provided for the 43 broad

merchandise line categories, including counts of establishments

and the amount and percentage of the line sold by various kinds

of retail businesses.

The Miscellaneous Subjects report (RC92-S-4) contains special statistics on eating and drinking places, gasoline service

stations, shoe stores, optical goods stores, and other miscellaneous subjects. Data are presented for the United States as a

whole and, where feasible, for States and MA’s.

Special report series—1 report

(RC92-SP-1)

The Selected Statistics report presents selected data for

establishments with and without payroll for 1992 and 1987 by

kind of business. Data include number of establishments, sales,

payroll and employment, and selected ratios and rankings. Data

are presented for the United States as a whole and for States and

MA’s.

Electronic Media

All data included in the printed reports are available on

CD-ROM. The CD-ROM’s provide the same information found in

the final reports as well as additional information not published in

the final reports such as ZIP Code statistics available from series

RC92-Z, merchandise line sales statistics for States and MA’s

from series RC92-S, and nonemployer data for counties and

places from series RC92-N. Electronic media products are available for users who wish to summarize, rearrange, or process

large amounts of data. These products, with corresponding

technical documentation, are sold by Data User Services Division, Customer Services, Bureau of the Census, Washington, DC

20233-8300.

OTHER ECONOMIC CENSUS REPORTS

Data on wholesale trade, service industries, transportation,

communications, utilities, financial, insurance, real estate, construction industries, manufactures, mineral industries, enterprise

statistics, minority-owned business enterprises, and women-owned

businesses also are available from the 1992 Economic Census. A

separate series of reports covers the census of outlying areas:

Puerto Rico, Virgin Islands of the United States, Guam, and the

Northern Marianas. Separate announcements describing these

reports are available free of charge from Data User Services

Division, Customer Services , Bureau of the Census, Washington,

DC 20233-8300.

Publication Program