U.S. DEPARTMENT OF COMMERCE

William M. Daley, Secretary

ECONOMICS AND STATISTICS ADMINISTRATION

Everett M. Ehrlich, Under Secretary for Economic Affairs

BUREAU OF ECONOMIC ANALYSIS

J. Steven Landefeld, Director

Betty L. Barker, Deputy Director

U.S. DEPARTMENT OF COMMERCE

BUREAU OF ECONOMIC ANALYSIS

For sale by the Superintendent of Documents, U.S. Government Printing Office, Washington, DC 20402

Third Edition

March 1997

REGIONAL MULTIPLIERS

A User Handbook for the Regional Input-Output Modeling System (RIMS II)
Introduction

Effective planning for public- and private-sector projects

and programs at the State and local levels requires a systematic analysis of the economic impacts of the projects

and programs on affected regions. In turn, systematic

analysis of economic impacts must account for the interindustry relationships within regions because these

relationships largely determine how regional economies

are likely to respond to project and program changes.

Thus, regional input-output (I-O) multipliers, which account for interindustry relationships within regions, are

useful tools for regional economic impact analysis.

In the 1970’s, the Bureau of Economic Analysis (BEA)

developed a method for estimating regional I-O multipliers known as RIMS (Regional Industrial Multiplier

System), which was based on the work of Garnick and

Drake.1 In the 1980’s, BEA completed an enhancement of

RIMS, known as RIMS II (Regional Input-Output Modeling System), and published a handbook for RIMS II

users.2 In 1992, BEA published a second edition of the

handbook, in which the multipliers were based on more

recent data and improved methodology. Now, BEA is

making available a third edition of the handbook, in response to requests by users for additional discussion of

the data that they must provide in order to use RIMS II

and of the data sources and methods used for multiplier

estimation. The multipliers in the third edition reflect I-O

data for 1987, the most recent benchmark year for which

BEA’s national I-O data are available.

RIMS II is based on an accounting framework called

an I-O table. For each industry, an I-O table shows the

distribution of the inputs purchased and the outputs sold.

A typical I-O table in RIMS II is derived mainly from two

data sources: BEA’s national I-O table, which shows the

input and output structure of nearly 500 U.S. industries,

and BEA’s regional economic accounts, which are used to

1. See Daniel H. Garnick, “Differential Regional Multiplier Models,” Journal of Regional Science 10 (February 1970): 35–47 ; and Ronald L. Drake, “A

Short-Cut to Estimates of Regional Input-Output Multipliers,” International

Regional Science Review 1 (Fall 1976): 1–17.

2. See U.S. Department of Commerce, Bureau of Economic Analysis,

Regional Input-Output Modeling System (RIMS II): Estimation, Evaluation,

and Application of a Disaggregated Regional Impact Model(Washington, DC:

U.S. Government Printing Office, 1981); and U.S. Department of Commerce,

Bureau of Economic Analysis, Regional Multipliers: A User Handbook for

the Regional Input-Output Modeling System (RIMS II)(Washington, DC: U.S.

Government Printing Office, 1986).

adjust the national I-O table in order to reflect a regio

industrial structure and trading patterns.3

Using RIMS II for impact analyses has several adv

tages.4 RIMS II multipliers can be estimated for 

region composed of one or more counties and for 

industry or group of industries in the national I-O ta

The cost of estimating regional multipliers is relativ

low because of the accessibility of the main data sour

for RIMS II. According to empirical tests, the estima

based on RIMS II are similar in magnitude to the estim

based on relatively expensive surveys.5

To effectively use the multipliers for impact ana

sis, users must provide geographically and industri

detailed information on the initial changes in output,ea

ings, or employment that are associated with the proj

or program under study. The multipliers can then be u

to estimate the total impact of the project or program 

regional output, earnings, or employment.

RIMS II is widely used in both the public and priv

sector. In the public sector, for example, the Departm

of Defense uses RIMS II to estimate the regional impa

of military base closings, and State departments of tra

portation use RIMS II to estimate the regional impact

airport construction and expansion. In the private sec

analysts, consultants, and economic development pra

tioners use RIMS II to estimate the regional impacts 

a variety of projects, such as the development of the

parks and shopping malls.

This handbook comprises three additional sections 

text and five appendixes. In the second section, the ty

of RIMS II multipliers are discussed, and examples 

their use are presented. In the third section, the inform

tion that users of RIMS II must provide and the pro

use of RIMS II multipliers are discussed. In the fou

3. See U.S. Department of Commerce, Bureau of Economic Anal

Benchmark Input-Output Accounts of the United States, 1987(Washin

DC: U.S. Government Printing Office, 1994); and U.S. Department of C

merce, Bureau of Economic Analysis, Local Area Personal Income, 196

(Washington, DC: U.S. Government Printing Office, 1994).

4. For a discussion of the limitations of using I-O models in impact anal

see Daniel M. Otto and Thomas G. Johnson, Microcomputer-Based In

Output Modeling(Boulder, CO: Westview Press, 1993), 28–46.

5. See Regional Input-Output Modeling System (RIMS II), 39–57 ; 

Sharon M. Brucker, Steven E. Hastings, and William R. Latham III, 

Variation of Estimated Impacts from Five Regional Input-Output Mod

International Regional Science Review 13 (1990): 119–39.
2 REGIONAL MULTIPLIERS

section, four hypothetical case studies that illustrate use

of the multipliers are presented; the case studies focus on

estimating the regional economic impacts of constructing and operating a sports facility, closing and converting

a military base, closing a motor vehicle manufacturing plant, and opening a glass-container manufacturing

plant.

In appendix A, the data sources and methods

used in estimating the RIMS II multipliers are discussed, and a list of suggestions for further reading is

presented.

. 

Availability of Regional I-O Multipliers From RIMS II

For any region composed of one or more counties, RIMS II can provide two series of tables of I-O multipliers: Series 1 is for detail

industries, and series 2 is for industry aggregations. Each series consists of four tables: (1) Output multipliers, (2) earnings multipliers, 

employment multipliers, and (4) total final-demand multipliers for output, earnings, and employment and total direct-effect multipliers f

earnings and employment.

Table

designation Type of multiplier Industry composition

1.1 ................ Final-demand output multipliers ................................... 38 row industries and 471 column industries

1.2 ................ Final-demand earnings multipliers ............................... 38 row industries and 471 column industries

1.3 ................ Final-demand employment multipliers ......................... 38 row industries and 471 column industries

1.4 ................ Total final-demand output, earnings, and employment

multipliers and total direct-effect earnings and employment multipliers.

Totals of 471 row industries

2.1 ................ Final-demand output multipliers ................................... 38 row industries and 38 column industries

2.2 ................ Final-demand earnings multipliers ............................... 38 row industries and 38 column industries

2.3 ................ Final-demand employment multipliers ......................... 38 row industries and 38 column industries

2.4 ................ Total final-demand output, earnings, and employment

multipliers and total direct-effect earnings and employment multipliers.

Totals of 38 row industries

The prices of the tables (two series per region) are on a descending scale, starting at $1,500 per region for the first region ordered. For furth

information or to place an order, e-mail rimsread@bea.doc.gov, call (202) 606–5343, or write to Regional Economic Analysis Divisio

BE-61, Bureau of Economic Analysis, U.S. Department of Commerce, Washington, DC 20230.

Appendix B presents a list of the detailed industries 

which multipliers are available, and appendix C prese

a list of the industry aggregations for which multipl

are available.

Appendix D presents a sample of one of the f

detailed-industry tables that are available from RIMS 

and it presents a sample of one of the four aggrega

industry tables that are available. Appendix E prese

information on BEA economic areas, which can h

RIMS II users in their choice of regions for imp

analysis.
RIMS II Multipliers for Output, Earnings,

and Employment

RIMS II provides users with five types of multipliers:

Final-demand multipliers for output, for earnings, and

for employment and direct-effect multipliers for earnings

and for employment. These multipliers measure the economic impact of a change in final demand, in earnings,

or in employment on a region’s economy.6 This section

defines the RIMS II multipliers and gives brief examples

of their use. (For a detailed discussion of the source

data and methods used in the derivation of the RIMS II

multipliers, see appendix A.)

Final-Demand Multipliers for Output

The final-demand multipliersfor output are the basic multipliers from which all the other RIMS II multipliers are

derived. They are presented in the final-demand output

multiplier table. (For a sample of this table, designated

as table 1.1, see appendix D.) In this table, each column

entry indicates the change in output in each row industry that results from a $1 change in final demand in the

column industry. The impact on each row industry is

calculated by multiplying the final-demand change in the

column industry by the multiplier for each row. The total

impact on regional output is calculated by multiplying the

final-demand change in the column industry by the sum

of all the multipliers for each row except the household

row.7

For example, suppose that final demand in the food

products machinery industry in the Kansas City BEA economic area (hereafter called the Kansas City economic

area) increases by $1 million.8 The effect of this increase

in output on output in each industry in the economic

6. The term “change in final demand,” rather than the “change in output

delivered to final users,” is used in this handbook because of its widespread use

in regional impact analysis.

The impact of an increase in final demand, earnings, or employment differs

from that of a decline only by the sign of the impact.

7. The household row is excluded to avoid double counting, because each

of the other row entries already includes earnings paid to households.

8. For a listing of the 1721ABEA economicareas and associated metropolitan areas, see appendix E . For a discussion of the procedure used to define

the BEA economic areas, see Kenneth P. Johnson, “Redefinition of the BEA

Economic Areas,” SURVEY OF CURRENT BUSINESS 75 (February 1995): 75–81.

area is calculated from the column of final-demand o

put multipliers for the food products machinery indu

(summarized in column 1 in table A ).9 According to th

calculations, the output of the farm products and a

cultural, forestry, and fishing services industry increa

by $15,000 (0.0150 times $1 million); the output of 

industrial machinery and equipment industry, which 

cludes the food products machinery industry, increa

by $1.0393 million (1.0393 times $1 million); and t

output in the economic area increases by $2.0655 mill

(2.0655 times $1 million).

Table A.—Final-Demand Multipliers for the Food P

ucts Machinery Industry, Kansas City, MO-KS E

nomic Area

Industry Output

(dollars)

Earnings

(dollars)

Emp

me

(jo

(1) (2) (3

Farm products and agricultural, forestry, and

fishing services .......................................... 0.0150 0.0036 0

Industrial machinery and equipment ............. 1.0393 .3072 9

All other industries ........................................ 1.0112 .2983 14

Total .............................................................. 2.0655 .6091 24

1. The employment multiplier is measured on the basis of a $1 million change in 

delivered to final demand.

Multipliers for Earnings

RIMS II provides two types of multipliers for estimat

the impacts of changes on earnings: Final-demand mu

pliers and direct-effect multipliers. These multipliers 

derived from the table of final-demand output multipli

The final-demand multipliers for earnings can be u

if data on final-demand changes are available. In 

final-demand earnings multiplier table, each column en

indicates the change in earnings in each row industry t

results from a $1 change in final demand in the colu

industry. The impact on each row industry is calcula

by multiplying the final-demand change in the colu

industry by the multiplier for each row. The total imp

9. For the complete final-demand output multiplier table for this econ

area, see RIMS table 1.1 in appendix D.
4 REGIONAL MULTIPLIERS

on regional earnings is calculated by multiplying the finaldemand change in the column industry by the sum of the

multipliers for each row.

For example, the effect of a $1 million increase in

final demand in the food products machinery industry on

earnings in each industry in the Kansas City economic

area is calculated from the multipliers for earnings in

column 2 in table A . According to these calculations,

earnings in the farm products and agricultural, forestry,

and fishing services industry increases by $3,600 (0.0036

times $1 million); earnings in the industrial machinery

and equipment industry increases by $307,200 (0.3072

times $1 million); and total earnings in the economic area

increases by $609,100 (0.6091 times $1 million).

The direct-effect multipliers for earnings can be used

if data on the initial changes in earnings by industry are

available. In the direct-effect earnings multiplier table,

each entry indicates the total change in earnings in the

region that results from a $1 change in earnings in the

row industry. The total impact on regional earnings is

calculated by multiplying the initial change in earnings

in the row industry by the multiplier for the row.

For example, suppose that output in the food products

machinery industry in the Kansas City economic area increases so that workers in the industry will have additional

annual earnings of $1 million. The effect of this increase

on total earnings in the economic area is calculated by

multiplying the initial change in earnings of $1 million by

the multiplier in the row for the food products machinery

industry in the direct-effect earnings multiplier table. The

multiplier is 2.0829, so the total impact on the economic

area is an earnings increase of $2.0829 million (2.0829

times $1 million).10

Multipliers for Employment

RIMS II provides two types of multipliers for estimating

the impacts of changes on employment: Final-demand

multipliers and direct-effect multipliers. These multipliers are derived from the table of final-demand output

multipliers.

The final-demand multipliers for employment can be

used if data on final-demand changes are available. In

the final-demand employment multiplier table, each column entry indicates the change in employment in each

row industry that results from a $1 million change in final

demand in the column industry. The impact on each row

industry is calculated by multiplying the final-demand

change in the column industry by the multiplier for each

10. The multiplier is from RIMS table 1.4, which is not included in this

handbook.

row. The total impact on regional employment is c

culated by multiplying the final-demand change in 

column industry by the sum of the multipliers for e

row.

For example, the effect of a $1 million increase in fi

demand in the food products machinery industry on e

ployment in each industry in the Kansas City econom

area is calculated from the multipliers for employm

in column 3 in table A . According to these calcu

tions, employment in the farm products and agricultu

forestry, and fishing services industry increases by 0.2

jobs (0.2846 times 1 for each $1 million change in 

nal demand); employment in the industrial machin

and equipment industry increases by 9.8743 jobs (9.87

times 1); and total employment in the economic a

increases by 24.3332 jobs (24.3332 times 1).

The direct-effect multipliers for employment can 

used if data on the initial changes in employment 

industry are available. In the direct-effect employm

multiplier table, each entry indicates the total cha

in employment in the region that results from a cha

of one job in the row industry. The total impact 

regional employment is calculated by multiplying the 

tial change in employment in the row industry by 

multiplier for the row.

For example, suppose that output in the food produ

machinery industry in the Kansas City economic a

increases so that 1,000 new jobs in the industry are c

ated. The effect of this increase on total employmen

the economic area is calculated by multiplying the ini

change in employment of 1,000 jobs by the multiplie

the row for the food products machinery industry in 

direct-effect employment multiplier table. The multip

is 2.601, so the total impact on the economic area is 2,

new jobs (2.601 times 1,000).11

Choosing a Multiplier

The choice of multiplier for estimating the impact o

project on output, earnings, and employment depends 

the availability of estimates of the initial changes in fi

demand, earnings, and employment. If the estimate

the initial changes in all three measures are available, 

RIMS II user can select any of the RIMS II multipliers. 

assess the reasonableness of the impact estimates ba

on the multiplier selected, the user can compare these 

timates with the estimates based on the other multipli

In theory, all the impact estimates should be consisten

11. The multiplier is from RIMS table 1.4, which is not included in 

handbook.

12. The impact estimates based on the product of the initial change in 

demand and the final-demand multiplier for earnings (or employment) re
REGIONAL MULTIPLIERS 

In theory, all the impact estimates should be consistent.12

If the available estimates are limited to initial changes in

final demand, the user can select a final-demand multiplier for impact estimation. If the available estimates are

limited to initial changes in earnings or employment, the

user can select a direct-effect multiplier.13

12. The impact estimates based on the product of the initial change in final

demand and the final-demand multiplier for earnings (or employment) reflect

national average relationships between output and earnings (or employment).

In contrast, the impact estimates based on the product of the initial change

in earnings (or employment) and the direct-effect multiplier for earnings (or

employment) reflect regional relationships between output and earnings (or employment). If the regional relationships differ from the national relationships,

the two sets of estimates will differ and the estimates based on the direct-effect

multipliers are preferable.

13. In this instance, the user typically estimates earnings or employment

impacts. However, by convertingthe initial changesin earnings or employment

In some instances, such as estimating the impact 

shutting down an industry in a region, the user must se

the output-driven multiplier for impact estimation.14 T

output-driven multiplier measures the change in outpu

each row industry that results from a $1 change in t

industry output in the column industry under study. Us

the output-driven multiplier instead of the final-dem

output multiplier ensures that the impact of the indust

shutdown on its own output will not exceed that outp

into final-demand changes, the user can also estimate output impacts. Fo

conversion method, see the section “Initial Changes.”

14. This multiplier, though not a part of RIMS II, can be derived from 

final-demand output multiplier table. See appendix A.
Information Required From Users of RIMS II

To effectively use the RIMS II multipliers for impact analysis, users must provide geographically and industrially

detailed information on the initial changes in output,earnings, or employment that are associated with the project

or program under study. To provide this information,

the user must answer five questions about the project or

program.

• What is the affected region?

• Which industries are initially affected?

• Is there more than one phase of the project

or program?

• What are the initial changes in output, earnings,

or employment?

• Should the initial changes be separated into

production costs, transportation costs, and trade

margins?

This section provides guidance to the RIMS II user in

answering these questions.

Affected Region

The user must determine the region that is affected by

the project or program under study. The choice of the

region depends on the purpose of the study. For example, suppose the user wants to estimate the impact of an

increase in final demand for the output of a motor vehicle

and equipment factory in Jackson County, MO, a county

in the Kansas City metropolitan area and economic area

that is closely linked economically to the other counties

in the economic area. Assume further that most of the

factory’s labor force live in the other counties and that

most of the factory’s nonlabor inputs are purchased from

businesses in the other counties. If the study focuses on

the impact in the vicinity of the factory, then the region

of choice is the county.15 Alternatively, the focus might

be the factory’s impact on the surrounding metropolitan

area. Finally, if the study seeks a comprehensive estimate

of the factory’s impact, then the region of choice is the

economic area.16

15. For one-county regions, impacts are sometimes underestimated because

RIMS II multipliers do not reflect “feedback” effects, such as purchases made

in the county by commuters from nearby counties.

16. For a multicounty region, impacts are sometimes overestimated because

RIMS II multipliers reflect economic activity in industries that are unaffected

For example, the final-demand output multipliers 

the motor vehicles and equipment industry for the cou

and thus the impacts, are relatively small, because m

of the economic effects occur in the other counties 

ble B) .

17 The multipliers, and the impacts, are larger 

the metropolitan area and the economic area, because 

larger regions contain a larger number of the busines

from which the factory purchases its inputs, a larger p

portion of the factory’s labor force, and a larger proport

of the businesses that serve the labor force.

Table B.—Final-Demand Output Multipliers for Select

Industries and Areas

[Dollars]

Industry

Jackson

County,

MO

Kansas

City,

MO-KS

metropolitan area

Kan

C

MO

econ

ar

(1) (2) (3

Farm products and agricultural, forestry, and

fishing services .......................................... 1.7944 2.1363 2

Construction .................................................. 1.8723 2.2521 2

Food and kindred products and tobacco

products ..................................................... 1.5222 2.0154 2

Lumber and wood products and furniture

and fixtures ................................................ 1.6863 1.9772 2

Fabricated metal products ............................ 1.7173 2.0087 2

Motor vehicles and equipment ...................... 1.6967 1.7921 1

Transportation ............................................... 1.8649 2.1793 2

Retail trade .................................................... 1.8285 2.1561 2

Eating and drinking places ........................... 1.7608 2.0982 2

Private households ....................................... 1.0997 1.3747 1

The use of a multicounty region can sometimes com

cate the impact analysis because of offsetting effects. 

example, suppose a new shopping mall in a county dra

a large share of its shoppers from nearby counties, wh

they previously shopped. For the county with the m

the impact on sales and sales tax revenues is substant

However, for the multicounty region, the impact of 

mall also reflects the offsetting declines in sales and sa

tax revenues in the nearby counties, so the impact on sa

and sales tax revenues is smaller than that for the cou

by the project or program under study, but overestimation is likely to be 

severe for economic areas than for States because of the strong economic 

among counties in economic areas.

17. For the final-demand output multipliers for all industries for the co

for the metropolitan area, and for the economic area, see RIMS table 2

appendix D.
8 REGIONAL MULTIPLIERS

Affected Industries

The user must determine which industries are initially

affected by the project or program. The specification

of these industries in the maximum possible detail will

promote the accuracy of the impact analysis. If possible,

the industries should be selected from the list of detailed

industries for which RIMS II multipliers are available

(appendix B). Otherwise, the industries must be selected

from the list of aggregations of industries for which the

multipliers are available (appendix C).

For example, suppose that the user plans to analyze the

impact of a new meat-packing plant in the Kansas City

economic area. The impact should be calculated with

the multiplier for the industry of meat-packing plants and

sausages and other prepared meat products (the meatpacking industry), not with the multiplier for the industry

of food and kindred products and tobacco products,which

comprises the meat-packing industry and 44 other industries. The final-demand output multiplier for the

meat-packing industry is 4.1213, so that a $100,000 increase in final demand for meat packing is calculated to

result in a total output increase of $412,130 in the economic area. However, if the multiplier of 2.6498 for the

food and kindred products and tobacco products industry is used, the estimated increase in total output is only

$264,980.

In addition, if detailed data are available on the purchases of goods and services (including labor) made by

the initially affected industry, these “bill-of-goods” data

should be used in impact estimation. For example, for

the impact estimate for the meat-packing plant, instead of

using the increase in final demand for meat packing, the

user could use the change in the meat-packing industry’s

purchases of goods and services—such as food products,

chemicals, printing, and labor—that are needed to manufacture the additional packaged meat. The impact would

be calculated by multiplying the change in the purchases

of each product by the appropriate final-demand output

multiplier and then by adding the results to the initial

change in the meat-packing industry.

The impacts calculated from changes in the bill-ofgoods will equal the impacts calculated from finaldemand changes if the shares of an industry’s bill-ofgoods that are accounted for by each purchased good and

service equal the inputs per dollar of output for the industry in the RIMS II model. When the impact estimates

differ, the bill-of-goods approach is likely to be more

accurate because it reflects data for the project and the

region under study.18

18. In contrast, the final-demand approach reflects the national average interindustry relationships that are incorporated in RIMS II. See appendix A.

Project Phases

The user must determine if the project or program 

more than one phase. If so, the user should calculate 

impact of each phase. For example, if a project has t

phases—construction and operation—then the impac

the construction phase should be calculated separat

from the impact of the operation phase. In addition, if 

operation changes over time, the impact of each phase 

the operation should be estimated.

RIMS II, like all I-O models, is a “static equilibriu

model, so impacts calculated with RIMS II have no s

cific time dimension. However, because the mode

based on annual data, it is customary to assume t

the impacts occur in 1 year. For many situations, 

assumption is reasonable.

However, for long-term projects, RIMS II should 

carefully used because of the difficulty of accounting 

the effects of changes in prices and wages.19 For exa

ple, a factory is shut down, but a reduction in econo

activity may not be the only result. The reduction 

economic activity can lead to an increase in the sup

of inputs—for example, an excess supply of labor—

a corresponding decline in input prices. The decline 

input prices can encourage the use of these inputs in ot

activities, so economic activity picks up. The pickup 

economic activity may partially offset the decline in e

nomic activity initiated by the shutdown of the facto

If the user can determine which industries are likely 

increase their output as a result of the decline in in

prices, then RIMS II multipliers can be used to estim

the output impacts of the new activity. The net impac

the project can be estimated by adding the impact of 

factory shutdown to the impact of the increases in out

in other industries.

Users should note that the impacts estimated with RI

II multipliers provide information only about the proj

or program under study and not about the optimal use 

resources, such as public funds or land. If the optimal 

of resources is an issue,the user must estimate the imp

of all the feasible projects involving those resources 

then compare the results.

Initial Changes

The user must determine the initial change in final 

mand, earnings, or employment due to the projec

19. RIMS II, like all I-O models, does not automatically account for t

effects.

20. The RIMS II multipliers are then used to estimate how these in

changes affect all industries in the regional economy. The total impact o

project on the regional economy is thus composed of the initial change i
REGIONAL MULTIPLIERS 

Depending on the availability of data, the user can estimate the initial change either as a change in final demand

in the initially affected industry or as a change in earnings

or employment in the initially affected industry.21

Change in final demand

If the user can estimate the change in final demand in

the initially affected industry, the user can estimate the

impact on output, earnings, or employmenton the basis of

final-demand multipliers. In some instances, estimating

the final-demand change is easy. For example, suppose

all of the output of a new manufacturing plant in a region

is shipped out of the region and does not compete with the

output of the existing plants. The final-demand change for

the region’s manufacturing industry is calculated as the

difference between the sum of the final-demand output of

the new plant and that of the existing plants and the finaldemand output of the existing plants. Thus, the change

in final demand is simply the output of the new plant.

When the activity of a new project competes with the

existing regional activity, estimating the change in final

demand is more difficult, because it is necessary to estimate how much of the new project’s output replaces the

existing output. For example, suppose a shopping mall is

constructed in a region that already has similar shops. If a

portion of the sales at the new mall would have occurred

at the existing shops in the absence of the new mall, then

the final-demand change due to the mall is only the net

increase in regional sales. If in the extreme case, all the

sales at the new mall would have occurred at the existing

shops, the final-demand change due to the mall is zero.

Change in earnings and employment

If the user can estimate the change in earnings or employment in the initially affected industry, the user can

estimate the impact on earnings or employment on the

basis of direct-effect multipliers. These estimates, which

reflect data for the affected region, are preferable to estimates on the basis of final-demand multipliers, which

reflect national average data.

If only data on the initial change in earnings or employment are available, the RIMS II user can still estimate the

directly affected industry plus the sum of the changes in all industries in the

region.

21. To be consistent with BEA’s national I-O table for 1987, which underlies

the current RIMS II multipliers, initial changes that are specified in terms of

dollars of final demand or of earnings should be deflated.

change in final demand and thus estimate the output 

pacts. First, the final-demand multiplier for earnings 

employment) is divided by the direct-effect multiplier 

earnings (or employment) to yield the change in earni

(or employment) per dollar of final demand. Next, 

initial change in earnings (or employment) is divided 

the change in earnings (or employment) per dollar of fi

demand to yield the change in final demand. The cha

in final demand is then multiplied by the final-dem

output multiplier to yield the impact on output.

Separating the Initial Changes

If the initial changes are expressed as final-dem

changes—which are valued in purchasers’, or final use

prices—then the user must separate the changes into co

ponents for production costs, transportation costs, 

trade margins before doing an impact study.22 The s

aration of the changes is necessary because RIMS 

follows the convention used in the national I-O accou

of valuing output at producers’ prices, which exclude 

tribution costs, such as transportation costs and wholes

and retail trade margins, but include excise taxes c

lected and paid by producers. Transportation costs 

trade margins are shown as purchases by the users 

commodities.

For example, suppose that a consumer spends $100 

buy a car battery at an auto parts store. The price 

the battery is the sum of (1) the producer’s price t

the manufacturer charges the wholesaler; (2) the who

sale margin, which is the difference between the pr

the wholesaler charges the retailer and the cost to 

wholesaler; (3) the retail margin, which is the dif

ence between the price the retailer charges the consum

and the cost to the retailer; and (4) the transportat

costs, which consist of the costs of transporting the o

put from the manufacturer to the wholesaler and from 

wholesaler to the retailer. Accordingly, the final-dem

changes associated with the battery purchase are 

final-demand changes for manufacturing, for wholes

trade, for retail trade, and for transportation. The imp

of the purchase is then calculated by multiplying th

final-demand changes by the respective final-dem

multipliers.

22. Data on transportation costs and trade margins from the nationa

accounts are provided to RIMS II users as part of the RIMS II product.
Four Case Studies Using RIMS II Multipliers

The case studies in this section illustrate four types of

projects for which RIMS II users might estimate impacts.

The first case study is a project that has both a construction

and an operation phase. The second is a project with

negative impacts on a region that are partly offset by new

economic initiatives. The third is a project to relocate

an industry, and the fourth is a project to develop a new

industry in a region.

Case Study 1:

Constructing and Operating

a Sports Facility

This case study of the estimation of the impacts of a new

sports facility on a regional economy is in two parts. The

first part discusses impact estimation for the construction

phase and focuses on three alternative estimation methods. The second part discusses impact estimation for the

operation phase.

Sports facility construction

Suppose developers plan to construct a sports facility

in the Kansas City economic area. The plan requires

an investment of $111.5 million and will create 1,601

new construction jobs with associated earnings of $34.3

million. Three methods can be used to estimate the impact

of the construction.

Using data on final-demand changes.—The investment

in construction of the sports facility is a $111.5 million

change in final demand for the construction, maintenance,

and repair industry because construction is a final good.

Table Cshows the estimates of the impacts. The change in

final demand (row 1) is multiplied by the respective finaldemand multipliers for output, earnings, and employment

(rows 2–4) to yield the impacts (rows 5–7). The impacts

of the sports facility construction are $260.7 million in

output, $80.1 million in earnings, and 3,848 jobs.

Using data on initial changes in earnings and employment.—The construction jobs and associated earnings

required to build the sports facility are initial changes of

$34.3 million in earnings and 1,601 jobs in the ind

try. Table Cshows the estimates of the impacts. T

initial changes (rows 8 and 9) are multiplied by the dir

effect multipliers for earnings and for employment 

the construction industry (rows 10 and 11) to yield 

impacts (rows 12 and 13). The impacts of sports faci

construction are $80.1 million in earnings and 3,847 jo

Whenever project-specific estimates of initial chan

in earnings and jobs are available, this method sho

be used to calculate impacts. Although the earnings 

employment impacts in rows 6 and 7 are virtually 

same as those in rows 12 and 13, impacts based on dir

effect multipliers do not always equal impacts based 

final-demand multipliers.23

Table C.—Estimation of the Impacts of Sports Facili

Construction, Kansas City, MO-KS Economic Area

Impact based on data on the change in final demand:

1 Change in final demand (thousands of dollars) ............. 11

Final-demand multiplier:

2 Output (dollars) ........................................................... 2

3 Earnings (dollars) ....................................................... 

4 Employment (jobs) 1 .................................................... 

Impact on:

5 Output (thousands of dollars) [row 1 x row 2] ........... 260

6 Earnings (thousands of dollars) [row 1 x row 3] ........ 80

7 Employment (jobs) [row 1 x row 4] ............................ 3

Impact based on data on initial changes in earnings

and employment:

Initial change:

8 Earnings (thousands of dollars) ................................. 34

9 Employment (jobs) ...................................................... 

Direct-effect multiplier:

10 Earnings (dollars) ....................................................... 2

11 Employment (jobs) ...................................................... 2

Impact on:

12 Earnings (thousands of dollars) [row 8 x row 10] ...... 80

13 Employment (jobs) [row 9 x row 11] .......................... 3

1. The employment multiplier is measured on the basis of a $1 million change in 

delivered to final demand.

Using data on changes in the bill-of-goods.—The p

chases of goods and services (including labor) by 

construction industry that directly result from the $11

million investment in the construction of the sports faci

constitute the changes in the bill-of-goods. These p

chases are converted into regional purchases in produce

prices, and the regional purchases are then multip

by final-demand multipliers for output, earnings, 

employment to yield the impacts.

23. See footnote 12.
12 REGIONAL MULTIPLIERS

Table D.—Purchases Associated With the Sports Facility

Construction, Kansas City, MO-KS Economic Area

[Thousands of dollars]

Industry

Total

purchases

(purchasers’

prices)

Regional

purchases

(purchasers’

prices)

Regional

purchases

(producers’

prices)

(1) (2) (3)

Manufacturing ...................................... 58,468 37,143 33,730

Paints and allied products ............... 10,155 5,453 4,619

Miscellaneous plastics products ...... 6,217 6,217 5,406

Ready-mixed concrete ..................... 8,370 8,370 8,370

Nonferrous wiredrawing and

insulating ...................................... 8,220 3,288 2,832

Fabricated structural metal .............. 9,167 6,167 6,167

Pipe, valves, and pipe fittings .......... 7,876 3,590 2,981

Wiring devices ................................. 8,463 4,058 3,355

Transportation ..................................... ................... ................... 477

Costs:

Paints and allied products ............ ................... ................... 240

Miscellaneous plastics products ................... ................... 94

Ready-mixed concrete ................. ................... ................... 0

Nonferrous wiredrawing and

insulating ................................... ................... ................... 55

Fabricated structural metal .......... ................... ................... 0

Pipe, valves, and pipe fittings ...... ................... ................... 53

Wiring devices .............................. ................... ................... 35

Wholesale trade .................................. ................... ................... 2,936

Margins:

Paints and allied products ............ ................... ................... 594

Miscellaneous plastics products ................... ................... 717

Ready-mixed concrete ................. ................... ................... 0

Nonferrous wiredrawing and

insulating ................................... ................... ................... 401

Fabricated structural metal .......... ................... ................... 0

Pipe, valves, and pipe fittings ...... ................... ................... 556

Wiring devices .............................. ................... ................... 668

Engineering, architectural, and

surveying services ........................... 18,732 18,732 18,732

Earnings paid to households ............... 34,345 34,345 34,345

Total .................................................... 111,545 90,220 90,220

In table D, column 1 shows the total purchases in

purchasers’ prices, which include distribution costs, and

column 2 shows which of these purchases occur in the

economic area.24 Column 3 then shows the purchases in

producers’ prices in the economic area.

The regional purchases in producers’ prices (column

3) reflect the separation of the purchases into productioncost and distribution-cost components. Table E shows

this separation for the paints and allied products industry. Column 1 (from table D, column 2) shows that the

construction industry spent $5.453 million to purchase

paints and allied products in the economic area. The entries for wholesale trade and for transportation are not

shown because these costs are included in the purchase

price of paints and allied products. Column 2 shows the

dollar composition of the purchases of paints and allied

products, in producers’ prices, from the national I-O accounts. Column 3 shows the percentage composition:

For the Nation, 84.7 percent of the purchases of paints and

24. For earnings paid to regional households, it is assumed that the changes

in earnings paid are reflected in the changes in consumption expenditures and

that the consumption pattern of construction wage earners is similar to the

consumption pattern for the general population in the RIMS II model. For

instances in which earnings paid cannot be treated as earnings spent, see the

operation phase of case study 1 and the base-closing phase of case study 2.

allied products is for the output of paint manufactur

4.4 percent is for the transportation of the paint betw

the manufacturer and the wholesaler (the transportat

cost), and 10.9 percent is for the services provided by 

wholesaler (the wholesale margin). Each entry in colu

3 is multiplied by $5.453 million (column 1) in orde

separate the purchases of paints and allied products in 

economic area into production-cost and distribution-c

components.25 Column 4 shows the resulting regio

purchases in producers’ prices.

Table E.—Purchases of Paints and Allied Products 

Production Cost and Distribution Cost for the Kan

City, MO-KS Economic Area

[Thousands of dollars]

Industry

Regional

purchases

(purchasers’

prices)

U.S. purchases Regi

purch

(produ

pric

($5,4

x co

Producers’

prices

Percent of

total

(1) (2) (3) (4

Manufacturing ................... 5,453 194,000 84.7 4

Transportation costs ......... ................... 10,000 4.4 

Wholesale trade margins ................... 25,000 10.9 

Total ................................. 5,453 229,000 100.0 5

Table Fshows the estimation of the impacts of sports 

cility construction. The regional purchases in produce

prices (column 1) are multipliedby the final-demand m

tipliers for output, earnings, and employment (colum

2–4) to yield the impacts (columns 5–7) of the change

the bill-of-goods. The all-industry impacts of the chan

in the bill-of-goods (the subtotals in columns 5–7) 

then added to the initial changes in output, earnings, 

employment to yield total impacts of the sports faci

construction of $286.8 million in output, $87.8 millio

earnings, and 4,027 jobs.

Whenever estimates of purchases of goods and se

ices that result from a project are available, this meth

(the bill-of-goods approach) should be used to calcu

impacts. These impact estimates are likely to be m

accurate than the estimates based on data for the c

struction industry as a whole (used in the first meth

because the composition of purchases by the construct

industry can differ substantially from project to proje

Sports facility operation

Suppose that the operation of the new sports facility 

tially results in output, or annual revenues from ticket 

concession sales, of $22.8 million and in 250 new j

25. It is assumed that the percentage distribution of these componen

the same in the economic area as in the Nation. It is also assumed tha

manufacturers, transporters, and wholesalers of paints and allied product

located in the economic area.
REGIONAL MULTIPLIERS 

Table F.—Estimation of the Impacts of Sports Facility Construction Based on Data on Changes in the Bill-of-Good

Kansas City, MO-KS Economic Area

Industry

Regional

purchases

in producers’ prices

(thousands

of dollars)

Final-demand multiplier Impact

Output

(dollars)

Earnings

(dollars)

Employment 1

(jobs)

Output

(thousands

of dollars)

(col. 1

x col. 2)

Earnings

(thousands

of dollars)

(col. 1

x col. 3)

Emp

me

(job

(co

x co

(1) (2) (3) (4) (5) (6) (7

Paints and allied products .............................................................................. 4,619 1.7722 0.3907 14.8 8,186 1,805 

Miscellaneous plastics products ..................................................................... 5,406 1.9872 .4842 21.5 10,743 2,618 

Ready-mixed concrete .................................................................................... 8,370 2.1576 .5266 23.9 18,059 4,408 

Nonferrous wiredrawing and insulating .......................................................... 2,832 1.8598 .4000 17.0 5,267 1,133 

Fabricated structural metal ............................................................................. 6,167 2.2295 .5818 23.1 13,749 3,588 

Pipe, valves, and pipe fittings ......................................................................... 2,981 2.0844 .6050 25.2 6,214 1,804 

Wiring devices ................................................................................................ 3,355 2.0838 .5857 24.6 6,991 1,965 

Transportation ................................................................................................. 477 2.2263 .7393 31.5 1,062 353 

Wholesale trade .............................................................................................. 2,936 2.0538 .6704 28.0 6,030 1,968 

Engineering, architectural, and surveying services ........................................ 18,732 2.6124 1.0134 43.1 48,935 18,983 

Earnings paid to households .......................................................................... 34,345 1.4569 .4331 23.0 50,037 14,875 

Subtotal .......................................................................................................... 90,220 .................. .................. .................. 175,273 53,500 

Plus: Initial change ......................................................................................... .................. .................. .................. .................. 111,545 34,345 

Equals: Total ................................................................................................. .................. .................. .................. .................. 286,818 87,845 

1. The employment multiplier is measured on the basis of a $1 million change in output delivered to final demand.

with associated earnings of $15.0 million. The impacts of

the operation are estimated on the basis of bill-of-goods

purchases.26

The bill-of-goods purchases are converted into regional

purchases, in producers’ prices, which are then multiplied by the appropriate RIMS II multipliers to yield the

impacts. In table G , column 1 shows the purchases in

purchasers’ prices, column 2 shows which of these purchases occur in the economic area, and column 3 shows

the purchases in producers’ prices.

For example, suppose that all manufactured products

are purchased from wholesalers, and suppose that the

manufacturers from which the wholesalers purchase ice

cream and frozen desserts and bread, cake, and related

products are located outside the economic area. Then,

for ice cream and frozen desserts and for bread, cake,

and related products, the regional purchases in producers’ prices are calculated for wholesale trade but not for

manufacturing and transportation (column 3). For the

other manufactured products, the regional purchases in

producers’ prices reflect the separation of the purchases

into production costs, transportation costs, and wholesale

margins.

For advertising, electric services, water supply and

sewerage systems, insurance carriers, management and

consulting services, and miscellaneous equipment rental

and leasing, the regional purchases in purchasers’ prices

can be viewed as regional purchases in producers’ prices

because no margin adjustments are necessary.

26. These impact estimates are likely to be more accurate than those based on

data for the commercial sports industry because the composition of purchases

by each sports facility differs substantially.

For the $15.0 million in earnings paid to workers 

the sports facility, only those earnings that are spen

the economic area can be viewed as purchases in the e

nomic area. The earnings spent by households are lik

to be less than the earnings paid, because a substan

part of earnings goes to high-salaried professional a

letes, who are likely to save a larger-than-average sh

Table G.—Purchases Associated With Sports Facilit

Operation, Kansas City, MO-KS Economic Area

[Thousands of dollars]

Industry

Total

purchases

(purchasers’

prices)

Regional

purchases

(purchasers’

prices)

Regi

purch

(produ

pric

(1) (2) (3

Manufacturing ...................................... 2,200 1,681 

Ice cream and frozen desserts ........ 265 80 

Bread, cake, and related products 235 101 

Malt beverages ................................ 650 450 

Bottled and canned soft drinks ........ 500 500 

Other food ........................................ 550 550 

Transportation ..................................... ................... ................... 

Costs:

Ice cream and frozen desserts .... ................... ................... 

Bread, cake, and related products ................... ................... 

Malt beverages ............................. ................... ................... 

Bottled and canned soft drinks .... ................... ................... 

Other food .................................... ................... ................... 

Wholesale trade .................................. ................... ................... 

Margins:

Ice cream and frozen desserts .... ................... ................... 

Bread, cake, and related products ................... ................... 

Malt beverages ............................. ................... ................... 

Bottled and canned soft drinks .... ................... ................... 

Other food .................................... ................... ................... 

Electric services (utilities) .................... 980 900 

Water supply and sewerage systems 280 280 

Insurance carriers ................................ 320 320 

Management and consulting services,

testing and research labs ................ 1,500 900 

Miscellaneous equipment rental and

leasing .............................................. 1,300 801 

Advertising ........................................... 1,200 1,200 

Earnings paid to households ............... 15,000 8,250 8

Total .................................................... 22,780 14,332 14
14 REGIONAL MULTIPLIERS

Table H.—Estimation of the Impacts of Sports Facility Operation, Kansas City, MO-KS Economic Area

Industry

Regional

purchases

in producers’ prices

(thousands

of dollars)

Final-demand multiplier Impact

Output

(dollars)

Earnings

(dollars)

Employment 1

(jobs)

Output

(thousands

of dollars)

(col. 1

x col. 2)

Earnings

(thousands

of dollars)

(col. 1

x col. 3)

Emp

me

(job

(co

x co

(1) (2) (3) (4) (5) (6) (7

Ice cream and frozen desserts ....................................................................... 0 2.0156 0.4017 18.5 0 0 

Bread, cake, and related products ................................................................. 0 1.9296 .4956 22.4 0 0 

Malt beverages ............................................................................................... 291 1.8001 .3063 10.9 524 89 

Bottled and canned soft drinks ....................................................................... 370 2.0317 .3907 16.1 752 145 

Other food ....................................................................................................... 475 2.0186 .4119 19.9 959 196 

Transportation ................................................................................................. 23 2.2263 .7393 31.5 51 17 

Wholesale trade .............................................................................................. 388 2.0538 .6704 28.0 797 260 

Electric services (utilities) ............................................................................... 900 1.6283 .3249 11.7 1,465 292 

Water supply and sewerage systems ............................................................ 280 2.8611 .7023 31.4 801 197 

Insurance carriers ........................................................................................... 320 2.6926 .8838 36.7 862 283 

Management and consulting services, testing and research labs ................. 900 2.4989 .9090 41.5 2,249 818 

Miscellaneous equipment rental and leasing ................................................. 801 2.1202 .6625 32.6 1,698 531 

Advertising ...................................................................................................... 1,200 2.3785 .9678 41.3 2,854 1,161 

Earnings paid to households .......................................................................... 8,250 1.4569 .4331 23.0 12,019 3,573 

Subtotal .......................................................................................................... 14,198 .................. .................. .................. 25,031 7,562 

Plus: Initial change ......................................................................................... .................. .................. .................. .................. 22,780 15,000 

Equals: Total ................................................................................................. .................. .................. .................. .................. 47,811 22,562 

1. The employment multiplier is measured on the basis of a $1 million change in output delivered to final demand.

of their earnings and who are likely to reside outside the

economic area in the off-season. In this case study, it is

assumed that only $8.25 million of the $15.0 million paid

to households is spent in the economic area and therefore

can be viewed as purchases in the economic area.

Table Hshows the estimation of the impacts from the

sports facility operation. The regional purchases in

producers’ prices (column 1) are multiplied by the finaldemand multipliers for output, earnings, and employment

(columns 2–4) to yield the impacts (columns 5–7) of

the changes in the bill-of-goods. The all-industry impacts of the changes in the bill-of-goods (the subtotals

in columns 5–7) are then added to the initial changes in

output, earnings, and employment to yield the impacts

of the operation of the sports facility of $47.8 million in

output, $22.6 million in earnings, and 615 jobs.

Case Study 2:

Closing and Converting a Military

Base and Operating a Factory

This case study of the estimation of the impacts of the

closing of a military base and the operation of a new

factory at the same site is in three parts. The first part

discusses the impact estimation for the closing of the

military base. The second part discusses the impact estimation for the factory operation. The third part discusses

the estimation of the combined impact of the base closing

and of the factory operation.

Military base closing

Suppose the Federal Government plans to close a m

tary base in the Kansas City economic area. In orde

calculate the impacts of the base closing, the estimate

the negative changes in final demand for regional go

and services are multiplied by the appropriate RIMS 

multipliers.

These changes consist of the decline in the purchase

goods and services that results from closing the milit

base and the decline in purchases by military person

For both types of purchases, the user must determ

which purchases occur in the economic area and t

must show these purchases in producers’ prices.27

Table Ishows the estimates of the regional purcha

in producers’ prices, that result from the bill-of-go

purchases made by the military base with its $11

million annual operating budget. Column 1 shows 

bill-of-goods purchases. Column 2 shows which of th

purchases occur in the economic area. Column 3 t

shows the regional purchases, in producers’ prices, t

result from the operation of the military base.

For example, consider the electric and electronic equ

ment industry. Column 3 shows that regional purcha

in producers’ prices, of electric and electronic equipm

is zero, because none of this industry’s output is produ

in the economic area. However, the wholesale trade m

gins and transportation costs that are associated with 

purchase of electric and electronic equipment in the e

27. For a more extensive treatment of the conversion of purchases 

purchasers’ to producers’ prices, see case study 1.
REGIONAL MULTIPLIERS 

Table I.—Purchases Associated With Military Base

Closing, Kansas City, MO-KS Economic Area

[Thousands of dollars]

Industry

Total

purchases

(purchasers’

prices)

Regional

purchases

(purchasers’

prices)

Regional

purchases

(producers’

prices)

(1) (2) (3)

Construction ........................................ –6,450 –5,150 –5,150

Manufacturing ...................................... –42,775 –35,985 –26,944

Lumber and wood products and

furniture and fixtures .................... –1,000 –720 –602

Fabricated metal products ............... –3,200 –1,100 –1,100

Industrial machinery and equipment –26,725 –25,050 –21,242

Electronic and other electric

equipment ..................................... –5,815 –4,740 0

Motor vehicles and equipment ........ –6,035 –4,375 –4,000

Transportation ..................................... ................... ................... –278

Costs:

Lumber and wood products and

furniture and fixtures ................. ................... ................... –1

Fabricated metal products ........... ................... ................... 0

Industrial machinery and

equipment ................................. ................... ................... –19

Electronic and other electric

equipment ................................. ................... ................... –111

Motor vehicles and equipment ..... ................... ................... –147

Wholesale trade .................................. ................... ................... –4,763

Margins:

Lumber and wood products and

furniture and fixtures ................. ................... ................... –117

Fabricated metal products ........... ................... ................... 0

Industrial machinery and

equipment ................................. ................... ................... –3,789

Electronic and other electric

equipment ................................. ................... ................... –629

Motor vehicles and equipment ..... ................... ................... –228

Communications .................................. –4,000 –4,000 –4,000

Electric, gas, and sanitary services .... –19,750 –19,750 –19,750

Business services ................................ –8,125 –6,575 –6,575

Miscellaneous services ....................... –2,900 –2,540 –2,540

Earnings paid to military personnel ..... –30,000 –30,000 –30,000

Total .................................................... –114,000 –104,000 –100,000

nomic area are included in the regional purchases from

the wholesale trade and transportation industries.

Table Jshows the estimates of regional purchases, in

producers’ prices, that result from the bill-of-goods purchases by military personnel. Compared with the general

population, military personnel receive a larger share of

total earnings from payments-in-kind for clothing and

housing, so they allocate a smaller share of total purchases

to these items. Accordingly, the use of the bill-of-goods

data (column 1) as the basis for estimating regional purchases in producers’ prices permits the RIMS II user to

account for the difference between the earnings and expenditure patterns of military personnel and those of the

general population.28

Table Kshows the estimation of the impacts of the military base closing. Column 1 shows the total regional

purchases in producers’ prices, which are the sum of the

purchases for the operation of the military base (from table I, column 3) and the purchases by military personnel

(from table J, column 3). The total regional purchases in

producers’ prices are multiplied by the respective multipliers (columns 2–4) to yield the impacts (columns 5–7)

28. The personal consumption expenditures data in RIMS II reflect the

earnings and expenditure patterns of the general population.

Table J.—Purchases By Military Personnel, Kansas C

MO-KS Economic Area

[Thousands of dollars]

Industry

Total

purchases

(purchasers’

prices)

Regional

purchases

(purchasers’

prices)

Regi

purch

(produ

pric

(1) (2) (3

Manufacturing ...................................... –6,900 –5,100 –2

Food and kindred products and

tobacco products .......................... –1,445 –945 

Apparel and other textile products –1,213 –963 

Chemicals and allied products and

petroleum and coal products ....... –2,759 –2,259 –

Lumber and wood products and

furniture and fixtures .................... –1,483 –933 

Transportation ..................................... ................... ................... 

Costs:

Food and kindred products and

tobacco products ...................... ................... ................... 

Apparel and other textile products ................... ................... 

Chemicals and allied products

and petroleum and coal

products .................................... ................... ................... 

Lumber and wood products and

furniture and fixtures ................. ................... ................... 

Wholesale trade .................................. ................... ................... 

Margins:

Food and kindred products and

tobacco products ...................... ................... ................... 

Apparel and other textile products ................... ................... 

Chemicals and allied products

and petroleum and coal

products .................................... ................... ................... 

Lumber and wood products and

furniture and fixtures ................. ................... ................... 

Retail trade .......................................... ................... ................... –

Margins:

Food and kindred products and

tobacco products ...................... ................... ................... 

Apparel and other textile products ................... ................... 

Chemicals and allied products

and petroleum and coal

products .................................... ................... ................... 

Lumber and wood products and

furniture and fixtures ................. ................... ................... 

Communications .................................. –400 –400 

Electric, gas, and sanitary services .... –500 –500 

Hotels and other lodging places,

amusement and recreation services,

and motion pictures ......................... –2,500 –1,800 –

Personal services ................................ –2,100 –1,900 –

Eating and drinking places .................. –6,800 –4,800 –4

Miscellaneous services ....................... –1,800 –1,500 –

Total .................................................... –21,000 –16,000 –16

of the changes in the purchases. The all-industry impa

of the changes in the purchases (the subtotals in colum

5–7) are then added to the initial changes in output, ea

ings, and employment to yield the total impacts. The t

impacts, or losses, of the military base closing are $17

million in output, $79.4 million in earnings, and 5,

jobs.

Factory operation

Suppose local planners propose the conversion of the m

itary base into a factory for manufacturing $50.0 mill

in output of farm machinery and equipment. Tabl

shows the estimation of the impacts of the operation 

the factory.29 If all the factory output is sold outside 

29. The impacts of the construction of the factory are not considered,bec

they are only short-term impacts.
16 REGIONAL MULTIPLIERS

Table K.—Estimation of the Impacts of a Military Base Closing, Kansas City, MO-KS Economic Area

Industry

Regional

purchases

in producers’ prices

(thousands

of dollars)

Final-demand multiplier Impact

Output

(dollars)

Earnings

(dollars)

Employment 1

(jobs)

Output

(thousands

of dollars)

(col. 1

x col. 2)

Earnings

(thousands

of dollars)

(col. 1

x col. 3)

Emp

me

(job

(co

x co

(1) (2) (3) (4) (5) (6) (7

Construction .................................................................................................... –5,150 2.3270 0.7122 34.4 –11,984 –3,668 

Manufacturing ................................................................................................. –29,744 .................. .................. .................. .................. .................. .........

Food and kindred products and tobacco products ..................................... –600 2.6498 .5265 27.4 –1,590 –316 

Apparel and other textile products .............................................................. –500 1.7359 .4302 25.0 –868 –215 

Chemicals and allied products and petroleum and coal products ............. –1,200 1.8983 .4244 15.8 –2,278 –509 

Lumber and wood products and furniture and fixtures ............................... –1,102 2.0294 .5705 28.0 –2,236 –629 

Fabricated metal products .......................................................................... –1,100 2.0989 .5762 23.4 –2,309 –634 

Industrial machinery and equipment ........................................................... –21,242 2.0785 .5955 24.6 –44,151 –12,650 

Electronic and other electric equipment ..................................................... 0 1.9596 .5183 22.4 0 0 

Motor vehicles and equipment .................................................................... –4,000 1.9636 .3907 14.8 –7,854 –1,563 

Transportation ................................................................................................. –357 2.2263 .7393 31.5 –795 –264 

Communications ............................................................................................. –4,400 2.0209 .4866 17.6 –8,892 –2,141 

Electric, gas, and sanitary services ................................................................ –20,250 1.7034 .3414 12.9 –34,494 –6,913 

Wholesale trade .............................................................................................. –5,210 2.0623 .6737 28.1 –10,745 –3,510 

Retail trade ..................................................................................................... –1,774 2.1917 .7888 50.2 –3,888 –1,399 

Hotels and other lodging places, amusement and recreation services, and

motion pictures ............................................................................................ –1,800 2.3923 .8017 50.4 –4,306 –1,443 

Personal services ........................................................................................... –1,900 2.4157 .8541 60.5 –4,590 –1,623 

Business services ........................................................................................... –6,575 2.4058 .9273 45.6 –15,818 –6,097 

Eating and drinking places ............................................................................. –4,800 2.2618 .6659 53.2 –10,857 –3,196 

Miscellaneous services ................................................................................... –4,040 2.2759 .6561 38.1 –9,195 –2,651 

Subtotal .......................................................................................................... –86,000 .................. .................. .................. –176,850 –49,421 –

Initial change ................................................................................................... .................. .................. .................. .................. .................. –30,000 –

Total ............................................................................................................... .................. .................. .................. .................. –176,850 –79,421 –

1. The employment multiplier is measured on the basis of a $1 million change in output delivered to final demand.

Table L.—Estimation of the Impacts of Operating a Factory for Farm Machinery and Equipment in the Kansas

City, MO-KS Economic Area

Change in

final demand

(thousands

of dollars)

Final-demand multiplier Impact

Output

(dollars)

Earnings

(dollars)

Employment 1

(jobs)

Output

(thousands of

dollars)

(col. 1

x col. 2)

Earnings

(thousands of

dollars)

(col. 1

x col. 3)

Employment

(jobs)

(col. 1

x col. 4)

(1) (2) (3) (4) (5) (6) (7)

50,000 ...... 2.0408 0.5465 24.3 102,040 27,325 1,215

1. The employment multiplier is measured on the basis of a $1 million change in output

delivered to final demand.

economic area, the change in final demand is equal to the

factory output (column 1).30 This final-demand change is

multiplied by the respective multipliers (columns 2–4) to

yield the impacts (columns 5–7).

Impacts of the conversion

Table Mshows the estimation of the impacts of the conversion of a military base to a factory. It is assumed that

30. If some of the new factory’s output competes with the output of other

regional factories, the change in final demand would equal the new factory’s

output minus the displaced output of the other regional factories.

Table M.—Estimation of the Impacts of the Conversio

a Military Base to a Factory in the Kansas City, MO

Economic Area

Output

(thousands of

dollars)

Earnings

(thousands of

dollars)

Emp

me

(jo

(1) (2) (3

Factory operation .......................................... 102,040 27,325 

Military base closing ..................................... –176,850 –79,421 –5

Net impact ..................................................... –74,810 –52,096 –4

the net impacts occur in 1 year; in practice, it is likely 

take several years to shut down the base before conv

sion can begin. Net impacts are estimated by adding 

estimates of the impacts of closing the military base (ta

K)to the estimates of the impacts of the operation of 

farm machinery and equipment factory at the same 

(table L). The factory operation replaces $102.0 mill

of the $176.9 million loss of output due to the base cl

ing, $27.3 million of the $79.4 million loss of earnin

and 1,215 of the 5,263 jobs lost. Therefore, the impac

the conversion is a $74.8 million loss of output, a $5

million loss of earnings, and 4,048 jobs lost.
REGIONAL MULTIPLIERS 

Case Study 3:

Departure of an Industry

from a Region

This case study of the departure of the motor vehicles and

passenger car bodies industry (the motor vehicle industry)

shows how the RIMS II user can estimate the impacts of

an industry’s departure from a region.

Suppose that the motor vehicle industry is departing

from the Kansas City economic area where it produced

$120.0 million in annual output and provided 333 fulland part-time jobs with associated earnings of $15.6

million. The impact of the departure on each regional

industry (including the motor vehicle industry) must be

estimated on the basis of output-driven multipliers, which

measure the change in each industry that results from a

$1 change in total output in the motor vehicle industry,

because the impact on the motor vehicle industry cannot

exceed its total output.

Table Nshows the calculation of the impacts. The

change in the output of the motor vehicle industry equals

the industry’s total output of $120.0 million. In order

to ensure that the impact of the industry’s departure on

motor vehicle output does not exceed $120.0 million,

the final-demand output multiplier for the motor vehicle industry must be constrained to equal one. This

constraint is applied by converting the final-demand

Table N.—Estimation of the Impacts of the Departure of the Motor Vehicle Industry from the Kansas City, MO-KS

Economic Area

Industry

Final-demand multiplier Output-driven multiplier Impact

Output 1

(dollars)

Earnings

(dollars)

Employment 2

(jobs)

Output 1

(dollars)

(col. 1 /

1.1330)

Earnings

(dollars)

(col. 2 /

1.1330)

Employment 2

(jobs)

(col. 3 /

1.1330)

Output

(thousands of

dollars)

(col. 4

x $120

mil.)

Earnings

(thousands of

dollars)

(col. 5

x $120

mil.)

Em

m

(jo

(co

x $

m

Food and kindred products and tobacco products .................. 0.0206 0.0025 0.1007 0.0182 0.0022 0.0889 –2,184 –264 

Textile mill products ................................................................. .0005 .0001 .0050 .0004 .0001 .0044 –48 –12 

Apparel and other textile products ........................................... .0134 .0030 .2058 .0118 .0026 .1816 –1,416 –312 

Paper and allied products ........................................................ .0074 .0015 .0513 .0065 .0013 .0453 –780 –156 

Printing and publishing ............................................................ .0241 .0068 .2661 .0213 .0060 .2349 –2,556 –720 

Chemicals and allied products and petroleum and coal

products ................................................................................ .0269 .0046 .1219 .0237 .0041 .1076 –2,844 –492 

Rubber and miscellaneous plastics products and leather and

leather products .................................................................... .0481 .0111 .4529 .0425 .0098 .3997 –5,100 –1,176 

Lumber and wood products and furniture and fixtures ........... .0045 .0011 .0467 .0040 .0010 .0412 –480 –120 

Stone, clay, and glass products .............................................. .0054 .0013 .0510 .0048 .0011 .0450 –576 –132 

Primary metal industries .......................................................... .0181 .0040 .1257 .0160 .0035 .1109 –1,920 –420 

Fabricated metal products ....................................................... .0255 .0068 .2464 .0225 .0060 .2175 –2,700 –720 

Industrial machinery and equipment ........................................ .0195 .0061 .2155 .0172 .0054 .1902 –2,064 –648 

Electronic and other electric equipment .................................. .0126 .0032 .1403 .0111 .0028 .1238 –1,332 –336 

Motor vehicles and equipment ................................................. 1.1330 .1473 3.1453 1.0000 .1300 2.7761 –120,000 –15,600 

Other transportation equipment ............................................... .0007 .0002 .0081 .0006 .0002 .0071 –72 –24 

Instruments and related products ............................................ .0020 .0005 .0198 .0018 .0004 .0175 –216 –48 

Miscellaneous manufacturing industries .................................. .0012 .0003 .0190 .0011 .0003 .0168 –132 –36 

Private households .................................................................. .3960 .0007 .0829 .3495 .0006 .0732 ................ –72 

All other industries ................................................................... .6019 .1949 9.3700 .5312 .1720 8.2701 –63,744 –20,640 

Total ......................................................................................... 1.9654 .3960 14.6744 1.7347 .3495 12.9518 –208,164 –41,928 –

1. The column total is the sum of the entries in all rows except ‘‘Private households’’; the

entries for those rows include earnings paid to households. The ‘‘Private households’’ row

entry is the sum of earnings paid to households by all industries.

2. The employment multiplier is measured on the basis of a $1 million change in 

delivered to final demand.

multipliers (columns 1–3) to output-driven multipl

(columns 4–6): Each entry in columns 1–3 is divided 

the final-demand output multiplier (1.1330) for the mo

vehicle industry. The resulting output-driven multipl

for each industry are then multiplied by the output-cha

of $120.0 million to yield the impacts (columns 7–9) 

each industry of the motor vehicle industry’s departur

This case study does not consider the potentially 

setting impacts of the re-employment of the labor 

capital that were left idle as a result of the motor veh

industry’s departure from the area. For example, the 

employed motor vehicle workers might find jobs in ot

industries in the area, or the availability of the vacant m

tor vehicle factory might induce a new industry to en

the area. If the user knows how the idle labor and cap

are likely to be re-employed, RIMS II multipliers can 

used to estimate these offsetting impacts.31

Case Study 4:

Arrival of an Industry in a Region

This case study of the glass-containers manufactur

industry shows how the RIMS II user can estimate 

impacts of a new industry’s arrival in a region.

Suppose that a manufacturer plans to locate the fi

glass-container factory in the Kansas City economic ar

31. For an example of the estimation of offsetting impacts, see case stu
18 REGIONAL MULTIPLIERS

Table O.—Estimation of the Impacts of the Arrival of a Glass-Containers Manufacturing Industry, Kansas City, MO-

Economic Area

Industry

Regional

purchases

in

producers’

prices

(thousands

of dollars)

Final-demand multiplier Impact

Output

(dollars)

Earnings

(dollars)

Employment 1

(jobs)

Output

(thousands

of dollars)

(col. 1

x col. 2)

Earnings

(thousands

of dollars)

(col. 1

x col. 3)

Employ

(job

(col

x col

(1) (2) (3) (4) (5) (6) (7

Sand and gravel ............................................................................................ 1,348 1.8058 0.5165 22.3 2,434 696 

Paperboard containers and boxes ................................................................ 5,480 1.6738 .4013 16.2 9,172 2,199 

Industrial inorganic and organic chemicals ................................................... 3,861 1.7851 .3725 12.9 6,892 1,438 

Special dies and tools and machine tool accessories .................................. 727 2.0861 .7671 29.9 1,517 558 

Railroads and related services ...................................................................... 800 2.1208 .6327 22.3 1,697 506 

Electric services (utilities) .............................................................................. 2,005 1.6283 .3249 11.7 3,265 651 

Gas production and distribution (utilities) ...................................................... 2,507 1.6774 .2767 9.7 4,205 694 

Wholesale trade ............................................................................................ 1,446 2.0538 .6704 28.0 2,970 969 

Advertising ..................................................................................................... 1,186 2.3785 .9678 41.3 2,821 1,148 

Earnings paid to households ......................................................................... 15,028 1.4569 .4331 23.0 21,894 6,509 

Subtotal ........................................................................................................ 34,388 ................ ................ ...................... 56,867 15,368 

Initial change ................................................................................................. ................. ................ ................ ...................... 50,000 15,028 

Total .............................................................................................................. ................. ................ ................ ...................... 106,867 30,396 

1. The employment multiplier is measured on the basis of a $1 million change in output delivered to final demand.

where it will produce $50.0 million in annual output

and provide 350 full- and part-time jobs with associated

earnings of $15.0 million.

The change in final demand for the output of the factory

is $50.0 million, and the RIMS II user wants to estimate the impacts of the change in final demand on the

economic area.32 The impact estimation is complicated

by the treatment of the industry in RIMS II; inasmuch

as this industry does not yet exist in the economic area,

the column entries in the final-demand multiplier table

for the industries from which the glass-container industry purchases inputs are zero. Impact estimates based on

these column entries would thus exclude the impacts of

32. The impacts of the construction of the new factory are not considered.

For an illustration of the estimation of construction impacts on the basis of

bill-of-goods data, see case study 1.

a change in final demand in the glass-container indu

on other regional industries. To overcome this limitati

the user must estimate impacts on the basis of bill

goods data on the purchases of goods and services by 

glass-container industry.

Table Oshows the calculation of the impacts. The 

gional purchases, in purchasers’ prices (column 1), t

result from the operation of the new factory are multip

by the respective final-demand multipliers for outp

earnings, and employment (columns 2–4) to yield the 

pacts of the changes in the purchases (columns 5–7). T

all-industry impacts of the changes in the purchases (

subtotals in columns 5–7) are then added to the ini

changes in output, earnings, and employment to yield 

tal impacts of the operation of the glass-container fact

of $106.9 million in output, $30.4 million in earnin

and 1,041 jobs.
Appendix A:

Data Sources and Methods

Most regional economists agree that the most accurate

method of estimating a regional input-output (I-O) model

is to survey the businesses in a region in order to determine

which goods and services are purchased by industries

in the region and whether these goods and services are

purchased from other industries in the region or from industries in other regions. However, because these surveys

are costly, few regional I-O models in the United States

are based on survey, or primary source, data.

As a result, the estimation of the regional input-output

modeling system (RIMS II), like that of most regional I-O

models, is based on data from the national I-O accounts

and other secondary data. It is assumed that the national

I-O data can be used to represent the composition of

inputs purchased in the region. The national data are

then adjusted by regional data, because the industries in

a region cannot obtain all of their inputs from within the

region.

The RIMS II model and its multipliers are prepared

in three major steps.33 First, an adjusted national

industry-by-industry direct requirements table is prepared. Second, the adjusted national table is used to

prepare a regional industry-by-industry direct requirements table.34 Third, a regional industry-by-industry total

requirements table is prepared, and the multipliers are

derived from this table.

The Adjusted National Direct

Requirements Table

The adjusted national industry-by-industry direct requirements table is derived from the make and use tables in

BEA’s 1987 benchmark I-O accounts for the U.S. economy.35 The use table is adjusted so that it includes only

33. This discussion is mainly for users who are familiar with I-O theory and

linear algebra. For a more detailed discussion of I-O theory and the use of

regional I-O models in impact analysis, see “Suggested Reading”at the end of

this appendix.

34. In RIMS II, a region consists of the county or counties that are specified

by the user.

35. The make table shows the dollar value, in producers’ prices, of each

commodity produced by each industry. The use table shows the dollar value,

the use of domestically produced commodities: The d

in a use table for imported commodities are subtrac

from the data in the total commodity use table.

After this adjustment, a national industry-by-indu

direct requirements table is prepared by means of st

dard I-O procedures.36 An industry-share matrix, wh

shows each industry’s share of the production of a co

modity, is calculated by dividing each entry in e

column of the make table by the respective column to

Next, a commodity-by-industry direct requirements m

trix, which shows the dollar’s worth of each commod

that is required to produce a dollar’s worth of each ind

try’s output, is calculated by dividing each entry in e

column of the use table by the respective column to

A national industry-by-industry direct requirements ta

is then estimated by multiplying the industry-share m

trix by the commodity-by-industry direct requireme

matrix.

Unlike the national I-O accounts, RIMS II inclu

households as both suppliers of labor inputs to regio

industries and as purchasers of regional output, beca

it is customary in regional impact analysis to acco

for the effects of changes in household earnings and 

penditures. Thus, both a household row and a househ

column are added to the national direct requirements ta

before the table is regionalized.37

The household row

Each entry in the household row shows the earnings 

ceived by households per dollar of output of the colu

in producers’ prices, of each commodity used by each industry and by 

final user. See Benchmark Input-Output Accounts for the U.S. Economy, 1

SURVEY OF CURRENT BUSINESS 74 (April 1994): 73–115;and U.S. De

ment of Commerce, Bureau of Economic Analysis, Benchmark Input-O

Accounts of the United States, 1987(Washington, DC: U.S. Govern

Printing Office, 1994).

36. See Ronald E. Miller and Peter D. Blair, Input-Output Anal

Foundations and Extensions(Englewood Cliffs, NJ: Prentice-Hall, 19

149–199.

37. I-O theory requires that the sum of the entries in each column o

direct requirements table be less than, or equal to, one. Because this cond

is not met for all industries after the household row is added, nine indus

must be combined with similar industries.
22 REGIONAL MULTIPLIERS

industry corresponding to the entry. In impact analysis

with RIMS II, earnings is defined as the earnings that are

received by households from the production of regional

goods and services and that are available for spending on

these goods and services. Thus, earnings is calculated

as the sum of wages and salaries, proprietors’ income,

directors’ fees, and employer contributions for health insurance less personal contributions for social insurance.38

In equation form, the household row is

HSHRj = (W&Sj + PRPj + DFj + ECHIj

− PCSIj )/T IOj,

where the subscript j is industry j (column j in the direct requirements table), HSHR is the household row,

W&S is wages and salaries, PRP is proprietors’ income,

DF is directors’ fees, ECHI is employer contributions

for health insurance, PCSI is personal contributions for

social insurance, and TIO is total industry output.

The estimates of wages and salaries by I-O industry

are from the national I-O accounts. The other earnings

components are not available by I-O industry and must

be estimated.

The estimates of nonfarm proprietors’ income by I-O

industry are made by multiplying nonfarm proprietors’

income at the two-digit Standard Industrial Classification (SIC) level by each I-O industry’s share of wages

and salaries in the corresponding two-digit SIC industry. The data source for nonfarm proprietors’ income

and for wages and salaries at the two-digit SIC level is

BEA’s Regional Economic Information System (REIS).

The estimates of farm proprietors’ income for 17 I-O

agricultural industries are calculated by multiplying total

farm proprietors’ income by the shares of total farm cash

receipts accounted for by each of the agricultural industries. The data source for farm proprietors’ income and

cash receipts is REIS.39

The estimates of directors’ fees by I-O industry are calculated by multiplyingdirectors’ fees at the two-digit SIC

level by each I-O industry’s share of wages and salaries

in the corresponding two-digit SIC industry. The data

source for directors’ fees is REIS.

The estimates of employer contributions for health insurance by I-O industry are prepared in two steps. First,

38. Earnings includes employer contributions for health insurance, because

personal consumption expenditures data in the national I-O accounts include

expenditures on health care. Earnings excludes personal contributions for

social insurance, because these contributions are usually deducted from an

employee’s wages and salaries and therefore are unavailable for spending on

regional goods and services.

39. For agriculture, the estimates of proprietors’ income by I-O industry are

not based on wages and salaries, because the share of total employment accounted for by wage-and-salary workers in agriculture is substantially smaller

than that in other industries.

employer contributions to private pension funds and 

vate welfare funds at the two-digit SIC level are multip

by the all-industry ratio of employer contributions 

health insurance to employer contributions to private p

sion funds and private welfare funds to yield estimate

employer contributions for health insurance at the tw

digit SIC level. These estimates are then multiplied 

each I-O industry’s share of wages and salaries in 

corresponding two-digit SIC industry. The source 

the all-industry data is the national income and prod

accounts, and the source for the two-digit SIC data 

REIS.

The estimates of personal contributions for social 

surance by I-O industry are calculated by multiply

personal contributions for social insurance for all ind

tries by each I-O industry’s share of wages and salaries 

all industries. The data source for personal contributi

for social insurance is REIS.

The household column

Each entry in the household column shows the expe

itures per dollar of household earnings on the prod

of the row industry corresponding to the entry. The 

timation of the household column is based on perso

consumption expenditures (PCE) data from the natio

I-O accounts. PCE data in the imported-commodity 

table are subtracted from PCE data in the overall use 

ble to yield a column that shows PCE for domestic

produced commodities. After each column entry is 

pressed as a share of total PCE, the column is multip

by the industry-share matrix (discussed earlier) to y

the PCE shares by I-O industry.40 The PCE shares 

industry are then multiplied by the ratio of personal 

come less taxes and savings to personal income in or

to account for the dampening effect of taxes and savi

on expenditures.

The Regional Direct

Requirements Table

The regional industry-by-industry direct requireme

table is derived from the adjusted national industry-

industry direct requirements table. Location quotie

(LQ’s) are used to “regionalize” the national data.41 T

40. The last entry of the column is purchases of domestic service

households, which equals earnings received by domestic service workers

41. For most industries in RIMS II, LQ’s are based on 1992 wages 

salaries by industry at the four-digit SIC level. The LQ for wagesand salar

the ratio of the industry’s share of regional wages and salaries to that indus

share of national wages and salaries. For some industries, the LQ’s are adju

because wages and salaries in these industries, in comparison with proprie

income, accounts for a relatively small share of total earnings.
REGIONAL MULTIPLIERS 

LQ is used as a measure of the extent to which regional

supply of an industry’s output is sufficient to meet regional demand. If the LQ for a row industry in the

regional direct requirements table is greater than, or equal

to, one, it is assumed that the region’s demand for the

output of the row industry is met entirely from regional

production. In this instance, all row entries for the industry in the regional direct requirements table are set equal

to the corresponding entries in the adjusted national direct

requirements table.

Conversely, if the LQ is less than one, it is assumed that

regional supply of the industry’s output is not sufficient

to meet regional demand. In this instance, all row entries

for the industry in the regional direct requirements table

are set equal to the product of the corresponding entries

in the adjusted national direct requirements table and the

LQ for the industry.

The household row and the household column that were

added to the national direct requirements table are also

adjusted regionally. The household-row entries are adjusted downward, on the basis of commuting data from

the Census of Population, in order to account for the purchases made outside the region by commuters working

in the region. The household-column entries are adjusted

downward, on the basis of tax data from the Internal Revenue Service, in order to account for the dampening effect

of State and local taxes on household expenditures.

The Regional Total Requirements

Table and the Multipliers

A regional industry-by-industry total requirements table

is prepared by calculating the Leontief inverse from the

regional direct requirements table.42 The regional total requirements table shows the regional final-demand output

multipliers. In I-O terminology, the multipliers account

for the sum of the direct, indirect, and induced effects

of a change in final demand. The final-demand, directeffect, and output-driven multipliers can be derived from

the total requirements table.43

Final-demand earnings and employment

multipliers

Final-demand earnings multipliers are derived by multiplying each final-demand output multiplier in the total

42. The Leontief inverse is defined as (I−A)−1, where I is an identity

matrix, A is the regional industry-by-industry direct requirements matrix, and

−1 indicates a matrix inversion.

43. For the discussion of the use of these multipliers in regional impact

analysis, see the section “RIMS II Multipliers for Output, Earnings, and

Employment.”

requirements table by the household-row entry in 

direct requirements table that corresponds to the r

industry for the output multiplier. This calculation 

expressed as

ci,j = bi,j × a471,i,

where ci,j is the entry in row i and column j of the fin

demand earnings multipliertable, bi,j is the final-dem

output multiplier in the total requirements table, and a

is the household-row entry in the direct requireme

table.44

Final-demand employment multipliers are derived 

multiplying each entry in the final-demand earnings m

tiplier table by the employment-to-earnings ratio for e

row industry.45 This calculation is expressed as

ei,j = ci,j × Gi,

where ei,j is the entry in row i and column j of the fin

demand employment multiplier table, ci,j is the fin

demand earnings multiplier, and Gi is the employme

to-earnings ratio for row industry i.

Direct-effect earnings and employment

multipliers

Direct-effect earnings multipliers are derived by divid

each household-row entry in the total requirements ta

by the corresponding household-row entry in the dir

requirements table. This calculation is expressed as

Dj = b471,j/a471,j ,

where Dj is the direct-effect earnings multiplier for 

dustry j, b471,j is the household-row entry for industr

in the total requirements table,and a471,j is the househo

row entry for industry j in the direct requireme

table.

Direct-effect employment multipliers are derived by 

viding the final-demand employment multiplier for e

industry by the product of the corresponding househo

row entry in the direct requirements table and 

employment-to-earnings ratio for each column indus

This calculation is expressed as

Hj = Fj/(a471,j × Gj),

44. The sum of all the entries in column j of the final-demand earn

multiplier table is equal to the household-row entry in column j of the 

requirements table. The last row of the final-demand earnings multiplier 

represents earnings received by households that have domestic service jo

45. Employment is measured on a job-count basis for both wage-and-s

workers and proprietors. Estimates of employment by I-O industry are m

by allocating REIS employmentdata by two-digit SIC industry in proporti

Bureau of Labor Statistics wage-and-salary employment data by I-O indu
24 REGIONAL MULTIPLIERS

where Hj is the direct-effect employment multiplier for

industry j, Fj is the final-demand employment multiplier for industry j, a471,j is the household-row entry for

industry j in the direct requirements table, and Gj is the

employment-to-earnings ratio for industry j.

46

Output-driven multipliers

Output-driven multipliers can be calculated from the total

requirements table. The table entry for which the row

entry i equals the column entry j is called the “diagonal”

entry for column j. The output-driven multiplier for

industry j is defined as the ratio of each entry in column

j to the diagonal entry for that column. This ratio is

expressed as

oi,j = bi,j/bj,j ,

46. The final-demand employment multiplier for industry j is the sum of all

the entries except the household-row entry in column j of the final-demand

employment multiplier table.

where oi,j is the output-driven multiplier i for industr

bi,j is the final-demand output multiplier i for indu

j in the total requirements table, and bj,j is the diago

entry for industry j in the total requirements table.

Suggested Reading

Hewings, Geoffrey J.D. Regional Input-Output Analy

Scientific Geography Series vol. 6. Beverly Hills, C

Sage Publications, 1985.

Miernyck, William H. The Elements of Input-Out

Analysis. New York, NY: Random House, 1965.

Miller, Ronald E., and Peter D. Blair. Input-Out

Analysis: Foundations and Extensions. Englew

Cliffs, NJ: Prentice-Hall, 1985.

Otto, Daniel M., and Thomas G. Johns

Microcomputer-Based Input-Output Modeling. Boul

CO: Westview Press, 1993.

Richardson, Harry W. Input-Output and Regio

Economics. New York, NY: Halsted Press, 1972.
Appendix B:

Detailed Industries for Which

Multipliers Are Available
REGIONAL MULTIPLIERS 

Appendix B.—Detailed Industries for Which Multipliers Are Available

[The detailed industries are based on the 1987 benchmark input-output (I-O) accounts. The titles in boldface represent the groupings of industries used for t

summary version of the 1987 tables. An asterisk preceding a Standard Industrial Classification (SIC) code indicates that the SIC industry is included in mor

than one I-O industry.]

I-O industry number and title Related 1987

SIC codes

AGRICULTURE, FORESTRY, AND FISHERIES

1 Livestock and livestock products:

1.0100 Dairy farm products ...................................... 024,*019, *0259,

*029

1.0200 Poultry and eggs .......................................... 0251-3, *0259,

*019, *0219,

*029

1.0301 Meat animals ................................................ 0211-4, *0219,

*019, *0259,

*029

1.0302 Miscellaneous livestock ................................ 0271-3, *0279,

*019, *0219,

*0259, *029

2 Other agricultural products:

2.0100 Cotton ........................................................... 0131, *019,

*0219, *0259,

*029

2.0201 Food grains .................................................. *011, *019,

*0219, *0259,

*029

2.0202 Feed grains .................................................. *011, *0139,

*019, *0219,

*0259, *029

2.0203 Grass seeds ................................................. *0139, *019,

*0219, *0259,

*029

2.0300 Tobacco ........................................................ 0132, *019,

*0219, *0259,

*029

2.0401 Fruits ............................................................ 0171-2, 0174-5,

*0179, *019,

*0219, *0259,

*029

2.0402 Tree nuts ...................................................... 0173, *0179,

*019, *0219,

*0259, *029

2.0501 Vegetables ................................................... 0134, *0139,

016, *019,

*0219, *0259,

*029, *0119

2.0502 Sugar crops .................................................. 0133, *019,

*0219, *0259,

*029

2.0503 Miscellaneous crops ..................................... *0119, *0139,

*019, *0219,

*0259, *029

2.0600 Oil bearing crops .......................................... 0116, *0119,

*0139, *0219,

*0259, *029

2.0701 Forest products ............................................ *018, *019,

*0219, *0259,

*029

2.0702 Greenhouse and nursery products .............. *018, *019,

*0219, *0259,

*029

3 Forestry and fishery products:

3.0001 Forestry products ......................................... 081, 083, 097

3.0002 Commercial fishing ....................................... 091

4 Agricultural, forestry, and fishery services:

4.0001 Agricultural, forestry, and fishery services ... 0254, *0279,

071-2, 075-6,

085, 092

4.0002 Landscape and horticultural services .......... 078

MINING

5+6 Metallic ores mining:

5.0000 Iron and ferroalloy ores ................................ 101, 106

6.0100 Copper ore ................................................... 102

6.0200 Nonferrous metal ores, except copper ........ 103-4, 109, *108

7 Coal mining:

7.0000 Coal .............................................................. 122-3, *124

8 Crude petroleum and natural gas:

8.0000 Crude petroleum and natural gas ................ 131-2, *138

9+10 Nonmetallic minerals mining:

9.0001 Dimension, crushed and broken stone ........ 141-2

9.0002 Sand and gravel ........................................... 144

9.0003 Clay, ceramic, and refractory minerals ........ 145

9.0004 Nonmetallic mineral services and miscellaneous minerals.*148, 149

10.0000 Chemical and fertilizer minerals ................. 147

I-O industry number and title Related 1

SIC cod

CONSTRUCTION

11+12 Construction:

11.0000 New and maintenance and repair .............. 15-17, 6552

11.0601 Petroleum and natural gas well drilling ...... *138

11.0602 Petroleum, natural gas, and solid mineral

exploration.

*138, *108, 

*148

11.0603 Access structures for solid mineral development.*108, *124, 

12.0215 Maintenance and repair of petroleum and

natural gas wells.

*138

MANUFACTURING

13 Ordnance and accessories:

13.0100 Guided missiles and space vehicles .......... 3761

13.0200 Ammunition, except for small arms, n.e.c. 3483

13.0300 Tanks and tank components ...................... 3795

13.0500 Small arms ................................................. 3484

13.0600 Small arms ammunition ............................. 3482

13.0700 Ordnance and accessories, n.e.c. ............. 3489

14 Food and kindred products:

14.0103 Meat packing plants and sausages and

other prepared meat products.

2011, 2013

14.0105 Poultry slaughtering and processing .......... 2015

14.0250 Creamery butter and natural, processed,

and imitation cheese.

2021, 2022

14.0400 Dry, condensed, and evaporated dairy

products.

2023

14.0500 Ice cream and frozen desserts .................. 2024

14.0600 Fluid milk .................................................... 2026

14.0700 Canned and cured fish and seafoods ........ 2091

14.0800 Canned specialties ..................................... 2032

14.0900 Canned fruits, vegetables, preserves,

jams, and jellies.

2033

14.1000 Dehydrated fruits, vegetables, and soups 2034

14.1100 Pickles, sauces, and salad dressings ........ 2035

14.1200 Prepared fresh or frozen fish and seafoods.2092

14.1301 Frozen fruits, fruit juices, and vegetables 2037

14.1302 Frozen specialties, n.e.c. ........................... 2038

14.1401 Flour and other grain mill products ............ 2041

14.1402 Cereal breakfast foods ............................... 2043

14.1403 Prepared flour mixes and doughs .............. 2045

14.1501 Dog and cat food ....................................... 2047

14.1502 Prepared feeds, n.e.c. ................................ 2048

14.1600 Rice milling ................................................. 2044

14.1700 Wet corn milling ......................................... 2046

14.1801 Bread, cake, and related products ............. 2051, *546

14.1802 Cookies and crackers ................................ 2052

14.1803 Frozen bakery products, except bread ...... 2053

14.1900 Sugar .......................................................... 2061-3

14.2001 Candy and other confectionery products ... 2064

14.2002 Chocolate and cocoa products .................. 2066

14.2003 Chewing gum ............................................. 2067

14.2004 Salted and roasted nuts and seeds ........... 2068

14.2101 Malt beverages ........................................... 2082

14.2102 Malt ............................................................. 2083

14.2103 Wines, brandy, and brandy spirits ............. 2084

14.2104 Distilled and blended liquors ...................... 2085

14.2200 Bottled and canned soft drinks .................. 2086

14.2300 Flavoring extracts and flavoring syrups,

n.e.c..

2087

14.2400 Cottonseed oil mills .................................... 2074

14.2500 Soybean oil mills ........................................ 2075

14.2600 Vegetable oil mills, n.e.c. ........................... 2076

14.2700 Animal and marine fats and oils ................ 2077

14.2800 Roasted coffee ........................................... 2095

14.2900 Edible fats and oils, n.e.c. .......................... 2079

14.3000 Manufactured ice ........................................ 2097

14.3100 Macaroni, spaghetti, vermicelli, and noodles.2098

14.3201 Potato chips and similar snacks ................ 2096

14.3202 Food preparations, n.e.c. ........................... 2099

15 Tobacco products:

15.0101 Cigarettes ................................................... 211

15.0102 Cigars ......................................................... 212

15.0103 Chewing and smoking tobacco and snuff 213

15.0200 Tobacco stemming and redrying ............... 214

16 Broad and narrow fabrics, yarn and thread

mills:

16.0100 Broadwoven fabric mills and fabric finishing plants.221-3, 2261

16.0200 Narrow fabric mills ..................................... 224

16.0300 Yarn mills and finishing of textiles, n.e.c. 2269, 2281-
28 REGIONAL MULTIPLIERS

Appendix B.—Detailed Industries for Which Multipliers Are Available—Continued

I-O industry number and title Related 1987

SIC codes

16.0400 Thread mills ................................................ 2284

17 Miscellaneous textile goods and floor coverings:

17.0100 Carpets and rugs ....................................... 227

17.0600 Coated fabrics, not rubberized ................... 2295

17.0700 Tire cord and fabrics .................................. 2296

17.0900 Cordage and twine ..................................... 2298

17.1001 Nonwoven fabrics ....................................... 2297

17.1100 Textile goods, n.e.c. ................................... 2299

18 Apparel:

18.0101 Women’s hosiery, except socks ................ 2251

18.0102 Hosiery, n.e.c. ............................................ 2252

18.0201 Knit outerwear mills .................................... 2253

18.0202 Knit underwear and nightwear mills ........... 2254

18.0203 Knitting mills, n.e.c. .................................... 2259

18.0300 Knit fabric mills ........................................... 2257-8

18.0400 Apparel made from purchased materials ... 231-8, *3999

19 Miscellaneous fabricated textile products:

19.0100 Curtains and draperies ............................... 2391

19.0200 Housefurnishings, n.e.c. ............................. 2392

19.0301 Textile bags ................................................ 2393

19.0302 Canvas and related products ..................... 2394

19.0303 Pleating and stitching ................................. 2395

19.0304 Automotive and apparel trimmings ............ 2396

19.0305 Schiffli machine embroideries .................... 2397

19.0306 Fabricated textile products, n.e.c. .............. 2399

20+21 Lumber and wood products:

20.0100 Logging ....................................................... 241

20.0200 Sawmills and planing mills, general ........... 2421

20.0300 Hardwood dimension and flooring mills ..... 2426

20.0400 Special product sawmills, n.e.c. ................. 2429

20.0501 Millwork ...................................................... 2431

20.0502 Wood kitchen cabinets ............................... 2434

20.0600 Veneer and plywood .................................. 2435-6

20.0701 Structural wood members, n.e.c. ............... 2439

20.0702 Prefabricated wood buildings and components.2452

20.0703 Mobile homes ............................................. 2451

20.0800 Wood preserving ........................................ 2491

20.0901 Wood pallets and skids .............................. 2448

20.0903 Wood products, n.e.c. ................................ 2499

20.0904 Reconstituted wood products ..................... 2493

21.0000 Wood containers, n.e.c. ............................. 2441, 2449

22+23 Furniture and fixtures:

22.0101 Wood household furniture, except upholstered.2511

22.0102 Household furniture, n.e.c. ......................... 2519

22.0103 Wood television and radio cabinets ........... 2517

22.0200 Upholstered household furniture ................ 2512

22.0300 Metal household furniture .......................... 2514

22.0400 Mattresses and bedsprings ........................ 2515

23.0100 Wood office furniture .................................. 2521

23.0200 Office furniture, except wood ..................... 2522

23.0300 Public building and related furniture .......... 253

23.0400 Wood partitions and fixtures ...................... 2541

23.0500 Partitions and fixtures, except wood .......... 2542

23.0600 Drapery hardware and window blinds and

shades.

2591

23.0700 Furniture and fixtures, n.e.c. ...................... 2599

24 Paper and allied products, except containers:

24.0100 Pulp mills .................................................... 261

24.0400 Envelopes ................................................... 2677

24.0500 Sanitary paper products ............................. 2676

24.0701 Paper coating and glazing ......................... 2671-2

24.0702 Bags, except textile .................................... 2673-4

24.0703 Die-cut paper and paperboard and cardboard.2675

24.0705 Stationery, tablets, and related products ... 2678

24.0706 Converted paper products, n.e.c. .............. 2679

24.0800 Paper and paperboard mills ....................... 262-3

25 Paperboard containers and boxes:

25.0000 Paperboard containers and boxes ............. 265

26A Newspapers and periodicals:

26.0100 Newspapers ............................................... 271

26.0200 Periodicals .................................................. 272

26B Other printing and publishing:

26.0301 Book publishing .......................................... 2731

26.0302 Book printing .............................................. 2732

26.0400 Miscellaneous publishing ........................... 274

26.0501 Commercial printing ................................... 275

26.0601 Manifold business forms ............................ 276

26.0602 Blankbooks, looseleaf binders and devices 2782

I-O industry number and title Related 1

SIC cod

26.0700 Greeting cards ............................................ 277

26.0802 Bookbinding and related work ................... 2789

26.0803 Typesetting ................................................. 2791

26.0806 Platemaking and related services .............. 2796

27A Industrial and other chemicals:

27.0100 Industrial inorganic and organic chemicals 281 (excl.

*2819), 28

2869

27.0401 Gum and wood chemicals ......................... 2861

27.0402 Adhesives and sealants ............................. 2891

27.0403 Explosives .................................................. 2892

27.0404 Printing ink ................................................. 2893

27.0405 Carbon black .............................................. 2895

27.0406 Chemicals and chemical preparations,

n.e.c..

2899

27B Agricultural fertilizers and chemicals:

27.0201 Nitrogenous and phosphatic fertilizers ....... 2873-4

27.0202 Fertilizers, mixing only ............................... 2875

27.0300 Pesticides and agricultural chemicals, n.e.c..2879

28 Plastics and synthetic materials:

28.0100 Plastics materials and resins ..................... 2821

28.0200 Synthetic rubber ......................................... 2822

28.0300 Cellulosic manmade fibers ......................... 2823

28.0400 Manmade organic fibers, except cellulosic 2824

29A Drugs:

29.0100 Drugs .......................................................... 283

29B Cleaning and toilet preparations:

29.0201 Soap and other detergents ........................ 2841

29.0202 Polishes and sanitation goods ................... 2842

29.0203 Surface active agents ................................ 2843

29.0300 Toilet preparations ..................................... 2844

30 Paints and allied products:

30.0000 Paints and allied products .......................... 285

31 Petroleum refining and related products:

31.0101 Petroleum refining ...................................... 291

31.0102 Lubricating oils and greases ...................... 2992

31.0103 Products of petroleum and coal, n.e.c. ...... 2999

31.0200 Asphalt paving mixtures and blocks .......... 2951

31.0300 Asphalt felts and coatings .......................... 2952

32 Rubber and miscellaneous plastics products:

32.0100 Tires and inner tubes ................................. 301

32.0200 Rubber and plastics footwear .................... 302

32.0300 Fabricated rubber products, n.e.c. ............. 306

32.0400 Miscellaneous plastics products, n.e.c. ..... 308

32.0500 Rubber and plastics hose and belting ....... 3052

32.0600 Gaskets, packing, and sealing devices ..... 3053

33+34 Footwear, leather, and leather products:

33.0001 Leather tanning and finishing ..................... 311

34.0100 Boot and shoe cut stock and findings ....... 313

34.0201 Shoes, except rubber ................................. 3143-4, 314

34.0202 House slippers ........................................... 3142

34.0301 Leather gloves and mittens ........................ 315

34.0302 Luggage ..................................................... 316

34.0303 Women’s handbags and purses ................ 3171

34.0304 Personal leather goods, n.e.c. ................... 3172

34.0305 Leather goods, n.e.c. ................................. 319

35 Glass and glass products:

35.0100 Glass and glass products, except contain- ers.321, 3229, 3

35.0200 Glass containers ........................................ 3221

36 Stone and clay products:

36.0100 Cement, hydraulic ...................................... 324

36.0200 Brick and structural clay tile ....................... 3251

36.0300 Ceramic wall and floor tile ......................... 3253

36.0400 Clay refractories ......................................... 3255

36.0500 Structural clay products, n.e.c. .................. 3259

36.0600 Vitreous china plumbing fixtures ................ 3261

36.0701 Vitreous china table and kitchenware ........ 3262

36.0702 Fine earthenware table and kitchenware ... 3263

36.0800 Porcelain electrical supplies ....................... 3264

36.0900 Pottery products, n.e.c. .............................. 3269

36.1000 Concrete block and brick ........................... 3271

36.1100 Concrete products, except block and brick 3272

36.1200 Ready-mixed concrete ............................... 3273

36.1300 Lime ............................................................ 3274

36.1400 Gypsum products ....................................... 3275

36.1500 Cut stone and stone products .................... 328

36.1600 Abrasive products ...................................... 3291

36.1700 Asbestos products ...................................... 3292
REGIONAL MULTIPLIERS 

Appendix B.—Detailed Industries for Which Multipliers Are Available—Continued

I-O industry number and title Related 1987

SIC codes

36.1900 Minerals, ground or treated ........................ 3295

36.2000 Mineral wool ............................................... 3296

36.2100 Nonclay refractories ................................... 3297

36.2200 Nonmetallic mineral products, n.e.c. .......... 3299

37 Primary iron and steel manufacturing:

37.0101 Blast furnaces and steel mills .................... 3312

37.0102 Electrometallurgical products, except steel 3313

37.0103 Steel wiredrawing and steel nails and

spikes.

3315

37.0104 Cold-rolled steel sheet, strip, and bars ...... 3316

37.0105 Steel pipe and tubes .................................. 3317

37.0200 Iron and steel foundries ............................. 332

37.0300 Iron and steel forgings ............................... 3462

37.0401 Metal heat treating ..................................... 3398

37.0402 Primary metal products, n.e.c. ................... 3399

38 Primary nonferrous metals manufacturing:

38.0100 Primary smelting and refining of copper .... 3331

38.0400 Primary aluminum ...................................... 3334, *2819

38.0501 Primary nonferrous metals, n.e.c. .............. 3339

38.0600 Secondary nonferrous metals .................... 334

38.0700 Rolling, drawing, and extruding of copper 3351

38.0800 Aluminum rolling and drawing .................... 3353-5

38.0900 Nonferrous rolling and drawing, n.e.c. ....... 3356

38.1000 Nonferrous wiredrawing and insulating ...... 3357

38.1100 Aluminum castings ..................................... 3363, 3365

38.1200 Copper foundries ........................................ 3366

38.1300 Nonferrous castings, n.e.c. ........................ 3364, 3369

38.1400 Nonferrous forgings .................................... 3463

39 Metal containers:

39.0100 Metal cans .................................................. 3411

39.0200 Metal shipping barrels, drums, kegs, and

pails.

3412

40 Heating, plumbing, and fabricated structural

metal products:

40.0100 Enameled iron and metal sanitary ware .... 3431

40.0200 Plumbing fixture fittings and trim ............... 3432

40.0300 Heating equipment, except electric and

warm air furnaces.

3433

40.0400 Fabricated structural metal ........................ 3441

40.0500 Metal doors, sash, frames, molding, and

trim.

3442

40.0600 Fabricated plate work (boiler shops) ......... 3443

40.0700 Sheet metal work ....................................... 3444

40.0800 Architectural and ornamental metal work 3446

40.0901 Prefabricated metal buildings and components.3448

40.0902 Miscellaneous structural metal work .......... 3449

41 Screw machine products and stampings:

41.0100 Screw machine products, bolts, etc. .......... 3451-2

41.0201 Automotive stampings ................................ 3465

41.0202 Crowns and closures ................................. 3466

41.0203 Metal stampings, n.e.c. .............................. 3469

42 Other fabricated metal products:

42.0100 Cutlery ........................................................ 3421

42.0201 Hand and edge tools, except machine

tools and handsaws.

3423

42.0202 Saw blades and handsaws ........................ 3425

42.0300 Hardware, n.e.c. ......................................... 3429

42.0401 Plating and polishing .................................. 3471

42.0402 Coating,engraving, and allied services, n.e.c..3479

42.0500 Miscellaneous fabricated wire products ..... 3495-6

42.0700 Steel springs, except wire .......................... 3493

42.0800 Pipe, valves, and pipe fittings .................... 3491-2, 3494,

3498

42.1000 Metal foil and leaf ....................................... 3497

42.1100 Fabricated metal products, n.e.c. .............. 3499

43 Engines and turbines:

43.0100 Turbines and turbine generator sets .......... 3511

43.0200 Internal combustion engines, n.e.c. ........... 3519

44+45 Farm, construction, and mining machinery:

44.0001 Farm machinery and equipment ................ 3523

44.0002 Lawn and garden equipment ..................... 3524

45.0100 Construction machinery and equipment .... 3531

45.0200 Mining machinery, except oil field .............. 3532

45.0300 Oil and gas field machinery and equipment.3533

46 Materials handling machinery and equipment:

46.0100 Elevators and moving stairways ................ 3534

46.0200 Conveyors and conveying equipment ........ 3535

46.0300 Hoists, cranes, and monorails ................... 3536

46.0400 Industrial trucks and tractors ...................... 3537

I-O industry number and title Related 1

SIC cod

47 Metalworking machinery and equipment:

47.0100 Machine tools, metal cutting types ............ 3541

47.0200 Machine tools, metal forming types ........... 3542

47.0300 Special dies and tools and machine tool

accessories.

3544-5

47.0401 Power-driven handtools ............................. 3546

47.0402 Rolling mill machinery and equipment ....... 3547

47.0404 Electric and gas welding and soldering

equipment.

3548

47.0405 Industrial patterns ....................................... 3543

47.0500 Metalworking machinery, n.e.c. ................. 3549

48 Special industry machinery and equipment:

48.0100 Food products machinery .......................... 3556

48.0200 Textile machinery ....................................... 3552

48.0300 Woodworking machinery ............................ 3553

48.0400 Paper industries machinery ....................... 3554

48.0500 Printing trades machinery and equipment 3555

48.0600 Special industry machinery, n.e.c. ............. 3559

49 General industrial machinery and equipment:

49.0100 Pumps and compressors ........................... 3561, 3563

49.0200 Ball and roller bearings .............................. 3562

49.0300 Blowers and fans ....................................... 3564

49.0500 Mechanical power transmission equipment 3566, 3568

49.0600 Industrial process furnaces and ovens ...... 3567

49.0700 General industrial machinery and equipment, n.e.c..3569

49.0800 Packaging machinery ................................. 3565

50 Miscellaneous machinery, except electrical:

50.0100 Carburetors, pistons, rings, and valves ..... 3592

50.0200 Fluid power equipment ............................... 3593-4

50.0300 Scales and balances, except laboratory .... 3596

50.0400 Industrial and commercial machinery and

equipment, n.e.c.

3599

51 Computer and office equipment:

51.0102 Calculating and accounting machines ....... 3578

51.0103 Electronic computers .................................. 3571

51.0104 Computer peripheral equipment ................ 3572, 3575,

3577

51.0400 Office machines, n.e.c. .............................. 3579

52 Service industry machinery:

52.0100 Automatic vending machines ..................... 3581

52.0200 Commercial laundry equipment ................. 3582

52.0300 Refrigeration and heating equipment ......... 3585

52.0400 Measuring and dispensing pumps ............. 3586

52.0500 Service industry machinery, n.e.c. ............. 3589

53 Electrical industrial equipment and apparatus:

53.0200 Power, distribution, and specialty transformers.3612

53.0300 Switchgear and switchboard apparatus ..... 3613

53.0400 Motors and generators ............................... 3621

53.0500 Relays and industrial controls .................... 3625

53.0700 Carbon and graphite products ................... 3624

53.0800 Electrical industrial apparatus, n.e.c. ......... 3629

54 Household appliances:

54.0100 Household cooking equipment ................... 3631

54.0200 Household refrigerators and freezers ........ 3632

54.0300 Household laundry equipment ................... 3633

54.0400 Electric housewares and fans .................... 3634

54.0500 Household vacuum cleaners ...................... 3635

54.0700 Household appliances, n.e.c. ..................... 3639

55 Electric lighting and wiring equipment:

55.0100 Electric lamp bulbs and tubes .................... 3641

55.0200 Lighting fixtures and equipment ................. 3645-8

55.0300 Wiring devices ............................................ 3643-4

56 Audio, video, and communication equipment:

56.0100 Household audio and video equipment ..... 3651

56.0200 Prerecorded records and tapes ................. 3652

56.0300 Telephone and telegraph apparatus .......... 3661

56.0500 Communication equipment ........................ 3663, 3669

57 Electronic components and accessories:

57.0100 Electron tubes ............................................ 3671

57.0200 Semiconductors and related devices ......... 3674

57.0300 Other electronic components ..................... 3672, 3675-

58 Miscellaneous electrical machinery and supplies:

58.0100 Storage batteries ........................................ 3691

58.0200 Primary batteries, dry and wet ................... 3692

58.0400 Electrical equipment for internal combustion engines.3694

58.0600 Magnetic and optical recording media ....... 3695
30 REGIONAL MULTIPLIERS

Appendix B.—Detailed Industries for Which Multipliers Are Available—Continued

I-O industry number and title Related 1987

SIC codes

58.0700 Electrical machinery, equipment, and supplies, n.e.c..3699

59A Motor vehicles (passenger cars and trucks):

59.0301 Motor vehicles and passenger car bodies 3711

59B Truck and bus bodies, trailers, and motor vehicles parts:

59.0100 Truck and bus bodies ................................ 3713

59.0200 Truck trailers .............................................. 3715

59.0302 Motor vehicle parts and accessories ......... 3714

60 Aircraft and parts:

60.0100 Aircraft ........................................................ 3721

60.0200 Aircraft and missile engines and engine

parts.

3724, 3764

60.0400 Aircraft and missile equipment, n.e.c. ........ 3728, 3769

61 Other transportation equipment:

61.0100 Ship building and repairing ........................ 3731

61.0200 Boat building and repairing ........................ 3732

61.0300 Railroad equipment .................................... 374

61.0500 Motorcycles, bicycles, and parts ................ 375

61.0601 Travel trailers and campers ....................... 3792

61.0603 Motor homes .............................................. 3716

61.0700 Transportation equipment, n.e.c. ............... 3799

62 Scientific and controlling instruments:

62.0101 Search and navigation equipment ............. 381

62.0102 Laboratory apparatus and furniture ........... 3821

62.0200 Mechanical measuring devices .................. 3823-4, 3829

62.0300 Environmental controls ............................... 3822

62.0400 Surgical and medical instruments and apparatus.3841

62.0500 Surgical appliances and supplies .............. 3842

62.0600 Dental equipment and supplies ................. 3843

62.0700 Watches, clocks, watchcases, and parts ... 387

62.0800 X-ray apparatus and tubes ........................ 3844

62.0900 Electromedical and electrotherapeutic apparatus.3845

62.1000 Laboratory and optical instruments ............ 3826-7

62.1100 Instruments to measure electricity ............. 3825

63 Ophthalmic and photographic equipment:

63.0200 Ophthalmic goods ...................................... 385

63.0300 Photographic equipment and supplies ....... 386

64 Miscellaneous manufacturing:

64.0101 Jewelry, precious metal ............................. 3911

64.0102 Jewelers’ materials and lapidary work ....... 3915

64.0104 Silverware and plated ware ....................... 3914

64.0105 Costume jewelry ......................................... 3961

64.0200 Musical instruments ................................... 393

64.0301 Games, toys, and children’s vehicles ........ 3944

64.0302 Dolls and stuffed toys ................................ 3942

64.0400 Sporting and athletic goods, n.e.c. ............ 3949

64.0501 Pens, mechanical pencils, and parts ......... 3951

64.0502 Lead pencils and art goods ....................... 3952

64.0503 Marking devices ......................................... 3953

64.0504 Carbon paper and inked ribbons ............... 3955

64.0700 Fasteners, buttons, needles, and pins ....... 3965

64.0800 Brooms and brushes .................................. 3991

64.0900 Hard surface floor coverings, n.e.c. ........... 3996

64.1000 Burial caskets ............................................. 3995

64.1100 Signs and advertising specialties ............... 3993

64.1200 Manufacturing industries, n.e.c. ................. *3999

TRANSPORTATION, COMMUNICATIONS, AND

UTILITIES

65A Railroads and related services; passenger

ground transportation:

65.0100 Railroads and related services .................. 40, 474, *4789

65.0200 Local and suburban transit and interurban

highway passenger transportation.

41

65B Motor freight transportation and warehousing:

65.0300 Motor freight transportation and

warehousing.

42, *4789

65C Water transportation:

65.0400 Water transportation ................................... 44

65D Air transportation:

65.0500 Air transportation ........................................ 45

65E Pipelines, freight forwarders, and related services:

65.0600 Pipelines, except natural gas ..................... 46

65.0701 Freight forwarders and other transportation

services.

473, 4783, 4785,

*4789

I-O industry number and title Related 1

SIC cod

65.0702 Arrangement of passenger transportation 472

66 Communications, except radio and TV:

66.0000 Communications, except radio and TV ...... 481-2, 484, 

67 Radio and TV broadcasting:

67.0000 Radio and TV broadcasting ....................... 483

68A Electric services (utilities):

68.0100 Electric services (utilities) ........................... 491, *493

68B Gas production and distribution (utilities):

68.0200 Gas production and distribution (utilities) 492, *493

68C Water and sanitary services:

68.0301 Water supply and sewerage systems ........ 494, 4952

68.0302 Sanitary services, steam supply, and irrigation systems.4953, 4959, 

7, *493

WHOLESALE AND RETAIL TRADE

69A Wholesale trade:

69.0100 Wholesale trade ......................................... 50, 51

69B Retail trade:

69.0200 Retail trade, except eating and drinking .... 52-7 (excl. *

59, *7389

8042

FINANCE, INSURANCE, AND REAL ESTATE

70A Finance:

70.0150 Banking and credit agencies ...................... 60, 61, 67 (

6732)

70.0300 Security and commodity brokers ............... 62

70B Insurance:

70.0400 Insurance carriers ...................................... 63

70.0500 Insurance agents, brokers, and services ... 64

71A Owner-occupied dwellings:

71.0100 Owner-occupied dwellings .........................

71B Real estate and royalties:

71.0201 Real estate agents, managers, operators,

and lessors.

65 (excl. 65

71.0202 Royalties .....................................................

SERVICES

72A Hotels and lodging places:

72.0100 Hotels and lodging places .......................... 70

72B Personal and repair services (except auto):

72.0201 Laundry, cleaning, garment services, and

shoe repair.

721, 725

72.0202 Funeral service and crematories ............... 726

72.0203 Portrait photographic studios, and other

miscellaneous personal services.

722, 729

72.0204 Electrical repair shops ................................ 762

72.0205 Watch, clock, jewelry, and furniture repair 763-4

72.0300 Beauty and barber shops ........................... 723-4

73A Computer and data processing services:

73.0104 Computer and data processing services ... 737

73B Legal, engineering, accounting, and related

services:

73.0301 Legal services ............................................ 81

73.0302 Engineering, architectural, and surveying

services.

871

73.0303 Accounting, auditing and bookkeeping,

and miscellaneous services, n.e.c.

872, 89

73C Other business and professional services, except medical:

73.0101 Miscellaneous repair shops ....................... 769

73.0102 Services to dwellings and other buildings 734

73.0103 Personnel supply services ......................... 736

73.0105 Management and consulting services, testing and research labs.874, 8731-2

8734

73.0106 Detective and protective services .............. 7381-2

73.0107 Miscellaneous equipment rental and leasing.735

73.0108 Photofinishing labs and commercial photography.7384, 7335-

73.0109 Other business services ............................. 732, 7383,

*7389, 73

7334, 733

73D Advertising:

73.0200 Advertising .................................................. 731
REGIONAL MULTIPLIERS 

Appendix B.—Detailed Industries for Which Multipliers Are Available—Continued

I-O industry number and title Related 1987

SIC codes

74 Eating and drinking places:

74.0000 Eating and drinking places ......................... 58

75 Automotive repair and services:

75.0001 Automotive rental and leasing, without

drivers.

751

75.0002 Automotive repair shops and services ....... 753, 7549

75.0003 Automobile parking and car washes .......... 752, 7542

76 Amusements:

76.0101 Motion picture services and theaters ......... 781-3

76.0102 Video tape rental ........................................ 784

76.0201 Theatrical producers (except motion picture), bands, orchestras and entertainers.792

76.0202 Bowling centers .......................................... 793

76.0203 Professional sports clubs and promoters 7941

76.0204 Racing, including track operation ............... 7948

76.0205 Physical fitness facilities and membership

sports and recreation clubs.

7991, 7997

76.0206 Other amusement and recreation services 791, 7992-3,

7996, 7999

77A Health services:

77.0100 Doctors and dentists .................................. 801-3, 8041

77.0200 Hospitals ..................................................... 806

77.0301 Nursing and personal care facilities ........... 805

77.0302 Other medical and health services, including veterinarians.074, 8043, 8049,

807-9

77B Educational and social services, and membership organizations:

I-O industry number and title Related 1

SIC cod

77.0401 Elementary and secondary schools ........... 821

77.0402 Colleges, universities, and professional

schools.

822

77.0403 Private libraries, vocational schools, and

educational services, n.e.c.

823-4, 829

77.0501 Business associations and professional

membership organizations.

861-2

77.0502 Labor organizations, civic, social, and fraternal associations.863-4

77.0503 Religious organizations .............................. 866

77.0504 Other membership organizations ............... 84, 865, 869

8733, 673

77.0600 Job training and related services ............... 833

77.0700 Child day care services .............................. 835

77.0800 Residential care ......................................... 836

77.0900 Social services, n.e.c. ................................ 832, 839

GOVERNMENT ENTERPRISES

78 Federal Government enterprises:

78.0100 U.S. Postal Service .................................... 43

78.0200 Federal electric utilities .............................. (1)

78.0500 Other Federal Government enterprises ..... (1)

79 State and local government enterprises:

79.0000 State and local government enterprises .... (1)

SPECIAL INDUSTRIES

91 Household industry:

91.0000 Household industry .................................... (2)

1. The SIC assigns the same codes to activities of both private firms and government

agencies, but the SIC codes in the I-O accounts are used only for classifying private activities.

2. Industry output is defined as the compensation of domestic household workers.
Appendix C:

Industry Aggregations for Which

Multipliers Are Available
REGIONAL MULTIPLIERS 

Appendix C.—Industry Aggregations for Which Multipliers Are Available

Numerical

designation of

industry

aggregation

Industry aggregation Numerical designation of component detailed indus

Farm and agricultural services, forestry, and fishing:

1 Farm products and agricultural, forestry, and fishing services ...................................... 1.0100–2.0702, 4.0001–4.0002

2 Forestry and fishing products ........................................................................................ 3.0001–3.0002

Mining:

3 Coal mining .................................................................................................................... 7.0000

4 Oil and gas extraction .................................................................................................... 8.0000

5 Metal mining and nonmetallic minerals, except fuels .................................................... 5.0000–6.0200, 9.0001–10.0000

Construction:

6 Construction ................................................................................................................... 11.0000–12.0215

Manufacturing:

7 Food and kindred products and tobacco products ........................................................ 14.0103–15.0200

8 Textile mill products ....................................................................................................... 16.0100–18.0300

9 Apparel and other textile products ................................................................................. 18.0400–19.0306

10 Paper and allied products .............................................................................................. 24.0100–25.0000

11 Printing and publishing ................................................................................................... 26.0100–26.0806

12 Chemicals and allied products and petroleum and coal products ................................ 27.0100–31.0300

13 Rubber and miscellaneous plastics products and leather and leather products .......... 32.0100–34.0305

14 Lumber and wood products and furniture and fixtures .................................................. 20.0100–23.0700

15 Stone, clay, and glass products ..................................................................................... 35.0100–36.2200

16 Primary metal industries ................................................................................................ 37.0101–38.1400

17 Fabricated metal products ............................................................................................. 13.0200, 13.0500–13.0700, 39.0100–42.1100

18 Industrial machinery and equipment .............................................................................. 43.0100–52.0500

19 Electronic and other electric equipment ........................................................................ 53.0200–58.0700

20 Motor vehicles and equipment ....................................................................................... 59.0100–59.0302

21 Other transportation equipment ..................................................................................... 13.0100, 13.0300, 60.0100–61.0700

22 Instruments and related products .................................................................................. 62.0101–63.0300

23 Miscellaneous manufacturing industries ........................................................................ 64.0101–64.1200

Transportation and public utilities:*

24 Transportation ................................................................................................................ 65.0100–65.0702, 78.0100

25 Communications ............................................................................................................. 66.0000–67.0000

26 Electric, gas, and sanitary services ............................................................................... 68.0100–68.0302, 78.0200

Wholesale and retail trade:

27 Wholesale trade ............................................................................................................. 69.0100

28 Retail trade ..................................................................................................................... 69.0200

Finance, insurance, and real estate:

29 Depository and nondepository institutions and security and commodity brokers ......... 70.0150–70.0300

30 Insurance ........................................................................................................................ 70.0400–70.0500

31 Real estate ..................................................................................................................... 71.0100–71.0202

Services:

32 Hotels and other lodging places, amusement and recreation services, and motion

pictures.

72.0100, 76.0101–76.0206

33 Personal services ........................................................................................................... 72.0201–72.0300

34 Business services .......................................................................................................... 73.0101–73.0303

35 Eating and drinking places ............................................................................................. 74.0000

36 Health services ............................................................................................................... 77.0100–77.0302

37 Miscellaneous services .................................................................................................. 75.0001–75.0003, 77.0401–77.0900, 78.0500, 79.00

38 Private households ......................................................................................................... 91.0000

* Includes Federal Government enterprises.

1. Appendix B indentifies these industries.
Appendix D:

Sample Tables From RIMS II
REGIONAL MULTIPLIERS 

Table 1.1—Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area

[Dollars]

1.0100 1.0200 1.0301 1.0302 2.0100 2.0201 2.0202 2.0203 2.0300 2.0401 2.0402 2.0501 2.0502 2.0503 2.0600 2

1 ................................... 1.5957 1.2644 1.9012 1.3775 1.1519 1.1665 1.1064 1.1119 1.0469 1.0875 1.0699 1.0616 1.0000 1.0366 1.1114 

2 ................................... 0 000000000000000 3 ................................... .0001 .0001 .0001 .0001 .0001 .0001 0 0 0 .0001 0 0 0 0 0 0

4 ................................... .0003 .0003 .0003 .0003 .0003 .0004 .0003 .0002 .0002 .0002 .0002 .0002 0 .0002 .0002 

5 ................................... .0038 .0014 .0031 .0022 .0024 .0076 .0069 .0007 .0036 .0017 .0012 .0015 0 .0047 .0016 

6 ................................... .0429 .0296 .0461 .0331 .0308 .0418 .0353 .0131 .0402 .0251 .0207 .0215 0 .0207 .0352 

7 ................................... .1780 .5404 .1867 .3033 .0319 .0313 .0292 .0194 .0314 .0324 .0286 .0260 0 .0220 .0287 

8 ................................... .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0006 .0002 .0001 .0001 0 .0001 .0001 

9 ................................... .0089 .0081 .0098 .0081 .0070 .0067 .0061 .0060 .0071 .0089 .0083 .0075 0 .0053 .0064 

10 ................................... .0091 .0194 .0092 .0084 .0071 .0061 .0061 .0374 .0067 .0259 .0408 .0276 0 .0041 .0055 

11 ................................... .0227 .0212 .0246 .0204 .0176 .0193 .0173 .0101 .0205 .0182 .0146 .0136 0 .0123 .0182 

12 ................................... .0723 .0712 .0664 .0551 .0845 .1001 .0935 .0323 .0595 .0690 .0399 .0373 0 .0532 .0582 

13 ................................... .0114 .0177 .0124 .0173 .0076 .0087 .0099 .0050 .0160 .0088 .0071 .0085 0 .0057 .0077 

14 ................................... .0026 .0020 .0027 .0022 .0018 .0021 .0019 .0013 .0023 .0273 .0016 .0015 0 .0014 .0018 

15 ................................... .0030 .0021 .0031 .0023 .0025 .0032 .0028 .0012 .0025 .0026 .0021 .0017 0 .0031 .0023 

16 ................................... .0043 .0030 .0043 .0037 .0026 .0035 .0044 .0014 .0049 .0025 .0021 .0021 0 .0020 .0030 

17 ................................... .0093 .0063 .0083 .0067 .0054 .0064 .0076 .0031 .0071 .0053 .0044 .0042 0 .0039 .0056 

18 ................................... .0092 .0057 .0108 .0111 .0059 .0107 .0109 .0027 .0212 .0059 .0050 .0051 0 .0053 .0094 

19 ................................... .0060 .0041 .0069 .0067 .0041 .0064 .0063 .0018 .0114 .0042 .0035 .0035 0 .0034 .0058 

20 ................................... .0165 .0140 .0184 .0158 .0127 .0132 .0123 .0083 .0156 .0138 .0124 .0113 0 .0100 .0126 

21 ................................... .0009 .0008 .0010 .0008 .0007 .0007 .0006 .0004 .0008 .0007 .0007 .0006 0 .0005 .0006 

22 ................................... .0020 .0019 .0023 .0019 .0015 .0015 .0014 .0010 .0016 .0017 .0015 .0014 0 .0012 .0015 

23 ................................... .0013 .0012 .0015 .0012 .0010 .0011 .0010 .0007 .0011 .0011 .0010 .0009 0 .0008 .0010 

24 ................................... .1188 .1041 .1130 .1004 .0556 .0815 .0684 .0488 .0624 .0577 .0467 .0467 0 .0494 .0501 

25 ................................... .0377 .0325 .0417 .0339 .0272 .0305 .0274 .0186 .0331 .0288 .0254 .0234 0 .0210 .0282 

26 ................................... .0535 .0499 .0463 .0506 .0406 .0398 .0352 .0220 .0271 .0350 .0288 .0268 0 .0302 .0333 

27 ................................... .1481 .1112 .1443 .1157 .0822 .0989 .0893 .0537 .1240 .0998 .0593 .0592 0 .0496 .0794 

28 ................................... .0793 .0688 .0868 .0716 .0592 .0628 .0567 .0408 .0692 .0650 .0584 .0531 0 .0463 .0569 

29 ................................... .0646 .0459 .0706 .0510 .0492 .0576 .0462 .0248 .0558 .0450 .0425 .0365 0 .0392 .0546 

30 ................................... .0514 .0382 .0643 .0463 .0475 .0626 .0568 .0214 .0685 .0455 .0351 .0324 0 .0363 .0931 

31 ................................... .2017 .1341 .2417 .1609 .1679 .2467 .1926 .0710 .2433 .1354 .1159 .1240 0 .1148 .2214 

32 ................................... .0146 .0133 .0159 .0129 .0130 .0115 .0103 .0071 .0124 .0126 .0110 .0100 0 .0085 .0109 

33 ................................... .0137 .0120 .0150 .0126 .0116 .0111 .0101 .0066 .0132 .0117 .0102 .0094 0 .0081 .0104 

34 ................................... .0743 .0608 .0816 .0690 .0569 .0676 .0613 .0295 .0854 .0558 .0458 .0443 0 .0413 .0619 

35 ................................... .0419 .0362 .0462 .0377 .0319 .0330 .0296 .0209 .0350 .0347 .0305 .0279 0 .0244 .0315 

36 ................................... .0752 .0730 .0914 .0714 .0540 .0534 .0485 .0368 .0563 .0601 .0543 .0491 0 .0422 .0509 

37 ................................... .0664 .0574 .0712 .0594 .0509 .0512 .0468 .0300 .0528 .0517 .0453 .0424 0 .0372 .0475 

38 ................................... .7000 .6145 .7745 .6384 .5354 .5287 .4798 .3659 .5594 .5975 .5390 .4874 0 .4193 .5055 

Total .............................. 3.0415 2.8523 3.4491 2.7718 2.1272 2.3457 2.1395 1.6901 2.2399 2.0819 1.8749 1.8225 1.0000 1.7449 2.1469 

2.0702 3.0001 3.0002 4.0001 4.0002 5.0000 6.0100 6.0200 7.0000 8.0000 9.0001 9.0002 9.0003 9.0004 10.0000 11

1 ................................... 1.0439 0.1511 0 1.0791 1.0765 0 0 0 0.0122 0.0053 0.0129 0.0126 0 0.0137 0.0116 0

2 ................................... 0 1.0003 1.0000 0 0 0 0 000000000

3 ................................... .0001 0 0 .0001 .0001 0 0 0 1.0024 0 .0001 .0001 0 .0002 .0005 

4 ................................... .0002 .0002 0 .0008 .0005 0 0 0 .0001 1.0015 .0002 .0002 0 .0003 .0008 

5 ................................... .0009 .0010 0 .0042 .0018 1.0000 1.0000 1.0000 .0006 .0002 1.0103 1.0089 1.0000 1.0015 1.0039 

6 ................................... .0185 .0315 0 .0445 .0411 0 0 0 .0272 .0092 .0281 .0292 0 .0275 .0271 

7 ................................... .0268 .0950 0 .0601 .0614 0 0 0 .0254 .0112 .0266 .0261 0 .0284 .0230 

8 ................................... .0001 .0002 0 .0005 .0002 0 0 0 .0001 0 .0001 .0001 0 .0001 .0001 

9 ................................... .0066 .0059 0 .0137 .0152 0 0 0 .0066 .0028 .0069 .0066 0 .0075 .0058 

10 ................................... .0043 .0068 0 .0270 .0097 0 0 0 .0046 .0020 .0073 .0093 0 .0113 .0053 

11 ................................... .0126 .0225 0 .0288 .0328 0 0 0 .0143 .0110 .0160 .0142 0 .0264 .0148 

12 ................................... .0211 .0417 0 .2268 .0813 0 0 0 .0171 .0106 .0288 .0137 0 .0147 .0170 

13 ................................... .0079 .0065 0 .0131 .0137 0 0 0 .0125 .0029 .0140 .0070 0 .0126 .0103 

14 ................................... .0014 .0014 0 .0026 .0029 0 0 0 .0027 .0006 .0016 .0015 0 .0017 .0015 

15 ................................... .0013 .0020 0 .0032 .0030 0 0 0 .0031 .0029 .0027 .0049 0 .0027 .0021 

16 ................................... .0017 .0060 0 .0037 .0035 0 0 0 .0065 .0033 .0063 .0055 0 .0088 .0100 

17 ................................... .0037 .0171 0 .0088 .0079 0 0 0 .0125 .0045 .0156 .0125 0 .0099 .0064 

18 ................................... .0036 .0056 0 .0051 .0075 0 0 0 .0395 .0033 .0133 .0125 0 .0229 .0100 

19 ................................... .0029 .0027 0 .0046 .0052 0 0 0 .0041 .0016 .0047 .0037 0 .0046 .0037 

20 ................................... .0118 .0091 0 .0199 .0276 0 0 0 .0116 .0048 .0119 .0116 0 .0137 .0105 

21 ................................... .0006 .0005 0 .0018 .0015 0 0 0 .0006 .0003 .0006 .0006 0 .0007 .0006 

22 ................................... .0014 .0014 0 .0026 .0033 0 0 0 .0015 .0007 .0017 .0015 0 .0017 .0014 

23 ................................... .0009 .0009 0 .0020 .0020 0 0 0 .0009 .0005 .0011 .0010 0 .0011 .0009 

24 ................................... .0464 .0419 0 .1164 .0928 0 0 0 .0631 .0156 .0591 .0486 0 .0599 .0591 

25 ................................... .0236 .0197 0 .0379 .0485 0 0 0 .0218 .0127 .0247 .0226 0 .0255 .0225 

26 ................................... .0366 .0209 0 .0531 .0486 0 0 0 .0420 .0280 .0713 .0730 0 .0711 .1190 

27 ................................... .0624 .0576 0 .1483 .1241 0 0 0 .0619 .0197 .0562 .0483 0 .0635 .0473 

28 ................................... .0569 .0429 0 .0946 .1330 0 0 0 .0545 .0231 .0565 .0555 0 .0608 .0489 

29 ................................... .0330 .0441 0 .0649 .0692 0 0 0 .0368 .0155 .0476 .0371 0 .0409 .0748 

30 ................................... .0257 .0293 0 .0437 .0556 0 0 0 .0237 .0097 .0242 .0230 0 .0267 .0219 

31 ................................... .0972 .0753 0 .1481 .2150 0 0 0 .1082 .2103 .0985 .1024 0 .0999 .0887 

32 ................................... .0098 .0108 0 .0433 .0217 0 0 0 .0093 .0044 .0168 .0146 0 .0137 .0120 

33 ................................... .0092 .0102 0 .0332 .0208 0 0 0 .0089 .0039 .0118 .0104 0 .0111 .0083 

34 ................................... .0382 .1237 0 .0959 .0996 0 0 0 .0503 .0310 .0685 .0564 0 .0588 .0603 

35 ................................... .0295 .0249 0 .0526 .0715 0 0 0 .0291 .0129 .0317 .0307 0 .0330 .0270 

36 ................................... .0534 .0394 0 .0857 .1230 0 0 0 .0509 .0219 .0527 .0519 0 .0570 .0454 

37 ................................... .0427 .0449 0 .0982 .1170 0 0 0 .0502 .0216 .0494 .0479 0 .0500 .0480 

38 ................................... .5310 .3903 0 .8494 1.2242 0 0 0 .5066 .2178 .5239 .5165 0 .5668 .4519 

Total .............................. 1.7369 1.9952 1.0000 2.6688 2.6391 1.0000 1.0000 1.0000 1.8169 1.5094 1.8798 1.8058 1.0000 1.8839 1.8504 2

NOTE.—The column industries are identified in appendix B, and the row industries are identified in appendix C.

Each entry measures the change in output in each row industry that results from a $1

change in output delivered to final demand by the column industry. Each column total is the

sum of the entries in rows 1-37; these entries include earnings paid to households em

in industries 1-37. Each column total excludes the entry in row 38; this entry is the s

earnings paid to households. Column entries may not sum to totals due to rounding.
40 REGIONAL MULTIPLIERS

Table 1.1—Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area—Continued

[Dollars]

11.0601 11.0602 11.0603 12.0215 13.0100 13.0200 13.0300 13.0500 13.0600 13.0700 14.0103 14.0105 14.0250 14.0400 14.0500 14

1 ................................... 0.0239 0.0188 0.0113 0.0240 0.0132 0.0150 0 0.0148 0.0141 0 1.4037 0.1493 0.3621 0.2432 0.0929 0

2 ................................... 0 000000000000000 3 ................................... .0001 .0001 .0001 .0001 0 .0001 0 .0001 .0001 0 .0001 .0001 .0001 0 .0001 

4 ................................... .0003 .0002 .0001 .0003 .0001 .0004 0 .0002 .0002 0 .0003 .0001 .0002 .0002 .0002 

5 ................................... .0010 .0003 .0004 .0014 .0002 .0004 0 .0004 .0004 0 .0024 .0003 .0010 .0007 .0004 

6 ................................... 1.0284 1.0196 1.0118 1.0261 .0212 .0284 0 .0254 .0273 0 .0427 .0162 .0186 .0176 .0198 

7 ................................... .0504 .0398 .0240 .0508 .0278 .0308 0 .0308 .0290 0 1.3232 1.1346 1.1908 1.0707 1.1562 

8 ................................... .0001 .0001 .0001 .0002 .0001 .0001 0 .0001 .0001 0 .0001 .0001 .0001 .0001 .0001 

9 ................................... .0126 .0100 .0060 .0128 .0069 .0100 0 .0076 .0073 0 .0102 .0049 .0046 .0041 .0051 

10 ................................... .0077 .0054 .0034 .0081 .0045 .0076 0 .0081 .0201 0 .0191 .0316 .0348 .0322 .0957 

11 ................................... .0233 .0246 .0106 .0229 .0216 .0415 0 .0339 .0306 0 .0400 .0190 .0361 .0327 .0238 

12 ................................... .0300 .0180 .0219 .0407 .0119 .0319 0 .0166 .0493 0 .0553 .0165 .0249 .0199 .0178 

13 ................................... .0108 .0081 .0053 .0218 .0097 .0120 0 .0104 .0287 0 .0159 .0067 .0136 .0183 .0196 

14 ................................... .0023 .0017 .0011 .0047 .0014 .0021 0 .0030 .0025 0 .0027 .0011 .0013 .0012 .0062 

15 ................................... .0195 .0015 .0009 .0193 .0016 .0031 0 .0026 .0025 0 .0029 .0011 .0013 .0013 .0014 

16 ................................... .0689 .0047 .0066 .0191 .0057 .0451 0 .0506 .0263 0 .0045 .0017 .0024 .0076 .0022 

17 ................................... .0301 .0090 .0078 .0325 .0067 1.0947 0 1.0405 1.0466 1.0000 .0100 .0043 .0058 .0245 .0049 

18 ................................... .0085 .0089 .0285 .0054 .0041 .0122 0 .0104 .0086 0 .0089 .0020 .0034 .0061 .0030 

19 ................................... .0042 .0030 .0021 .0065 .0342 .0091 0 .0031 .0030 0 .0061 .0018 .0024 .0022 .0022 

20 ................................... .0217 .0171 .0104 .0220 .0119 .0133 0 .0133 .0127 0 .0188 .0084 .0082 .0074 .0090 

21 ................................... .0011 .0009 .0005 .0012 1.0061 .0008 1.0000 .0007 .0007 0 .0010 .0004 .0004 .0004 .0005 

22 ................................... .0027 .0021 .0013 .0029 .0044 .0038 0 .0018 .0017 0 .0024 .0012 .0013 .0013 .0014 

23 ................................... .0016 .0013 .0007 .0016 .0010 .0017 0 .0014 .0013 0 .0016 .0008 .0008 .0008 .0009 

24 ................................... .0702 .0345 .0255 .0848 .0304 .0630 0 .0620 .0568 0 .1117 .0387 .0518 .0432 .0492 

25 ................................... .0406 .0342 .0178 .0399 .0317 .0397 0 .0355 .0328 0 .0461 .0214 .0223 .0237 .0253 

26 ................................... .0438 .0289 .0188 .0419 .0266 .0514 0 .0404 .0418 0 .0509 .0316 .0312 .0323 .0385 

27 ................................... .0919 .0462 .0341 .0830 .0441 .0715 0 .0792 .0699 0 .1739 .0751 .1196 .0794 .0908 

28 ................................... .1065 .0841 .0508 .1065 .0581 .0651 0 .0648 .0614 0 .0897 .0414 .0397 .0360 .0438 

29 ................................... .0549 .0424 .0258 .0576 .0319 .0408 0 .0369 .0344 0 .0673 .0256 .0298 .0313 .0283 

30 ................................... .0418 .0327 .0197 .0430 .0238 .0287 0 .0282 .0266 0 .0578 .0180 .0208 .0181 .0202 

31 ................................... .1732 .2014 .0779 .1652 .1005 .1075 0 .1048 .0977 0 .2205 .0703 .0828 .0730 .0793 

32 ................................... .0174 .0140 .0082 .0176 .0105 .0140 0 .0135 .0123 0 .0168 .0076 .0078 .0074 .0084 

33 ................................... .0169 .0131 .0079 .0174 .0094 .0122 0 .0115 .0109 0 .0155 .0077 .0076 .0071 .0092 

34 ................................... .0640 .0508 .0281 .0734 .0584 .0824 0 .0746 .0627 0 .0857 .0377 .0461 .0411 .0520 

35 ................................... .0548 .0430 .0260 .0553 .0330 .0381 0 .0374 .0345 0 .0485 .0233 .0227 .0203 .0252 

36 ................................... .1020 .0811 .0489 .1020 .0555 .0608 0 .0610 .0575 0 .0915 .0399 .0371 .0336 .0406 

37 ................................... .0760 .0577 .0350 .0774 .0425 .0535 0 .0548 .0517 0 .0737 .0346 .0352 .0326 .0414 

38 ................................... 1.0145 .8074 .4868 1.0151 .5521 .6053 0 .6072 .5717 0 .8110 .3845 .3587 .3273 .4017 

Total .............................. 2.3032 1.9591 1.5795 2.2891 1.7506 2.0928 1.0000 1.9808 1.9643 1.0000 4.1213 1.8749 2.2687 1.9716 2.0156 2

14.0700 14.0800 14.0900 14.1000 14.1100 14.1200 14.1301 14.1302 14.1401 14.1402 14.1403 14.1501 14.1502 14.1600 14.1700 14

1 ................................... 0 0 0.0236 0 0.0316 0 0.0218 0.1553 0.6079 0.2422 0.2634 0.1538 0.4042 0 0.5649 0

2 ................................... 0 000000000000000

3 ................................... 0 0 .0001 0 .0001 0 .0001 .0001 .0001 .0001 .0001 .0001 .0001 0 .0003 

4 ................................... 0 0 .0002 0 .0002 0 .0002 .0002 .0003 .0002 .0002 .0002 .0003 0 .0005 

5 ................................... 0 0 .0002 0 .0003 0 .0003 .0006 .0041 .0017 .0018 .0008 .0022 0 .0028 

6 ................................... 0 0 .0167 0 .0157 0 .0182 .0214 .0406 .0266 .0271 .0212 .0312 0 .0377 

7 ................................... 1.0000 1.0000 1.0409 1.0000 1.0735 1.0000 1.0316 1.2406 1.0942 1.0448 1.1800 1.1867 1.5889 1.0000 1.0882 

8 ................................... 0 0 .0001 0 .0002 0 .0001 .0001 .0001 .0001 .0001 .0002 .0001 0 .0001 

9 ................................... 0 0 .0044 0 .0046 0 .0051 .0061 .0083 .0055 .0060 .0079 .0075 0 .0068 

10 ................................... 0 0 .0281 0 .0244 0 .0519 .0725 .0351 .0601 .0523 .0527 .0187 0 .0211 

11 ................................... 0 0 .0292 0 .0806 0 .0348 .0334 .0305 .0447 .0345 .0652 .0261 0 .0364 

12 ................................... 0 0 .0120 0 .0240 0 .0182 .0244 .0615 .0310 .0328 .0383 .1154 0 .0490 

13 ................................... 0 0 .0066 0 .0798 0 .0448 .0478 .0101 .0090 .0106 .0283 .0150 0 .0091 

14 ................................... 0 0 .0023 0 .0012 0 .0015 .0015 .0022 .0015 .0016 .0015 .0019 0 .0020 

15 ................................... 0 0 .0012 0 .0014 0 .0014 .0017 .0028 .0019 .0020 .0016 .0022 0 .0025 

16 ................................... 0 0 .0209 0 .0020 0 .0064 .0024 .0032 .0027 .0023 .0166 .0029 0 .0033 

17 ................................... 0 0 .0732 0 .0057 0 .0173 .0052 .0062 .0058 .0044 .0567 .0062 0 .0063 

18 ................................... 0 0 .0030 0 .0030 0 .0026 .0037 .0077 .0043 .0042 .0041 .0057 0 .0083 

19 ................................... 0 0 .0019 0 .0021 0 .0021 .0026 .0049 .0029 .0031 .0026 .0040 0 .0047 

20 ................................... 0 0 .0078 0 .0087 0 .0089 .0102 .0131 .0098 .0105 .0092 .0124 0 .0128 

21 ................................... 0 0 .0004 0 .0004 0 .0005 .0005 .0008 .0005 .0006 .0005 .0007 0 .0007 

22 ................................... 0 0 .0012 0 .0014 0 .0014 .0016 .0017 .0015 .0015 .0014 .0018 0 .0016 

23 ................................... 0 0 .0008 0 .0012 0 .0011 .0011 .0013 .0013 .0012 .0014 .0011 0 .0013 

24 ................................... 0 0 .0671 0 .0711 0 .0820 .0660 .1433 .0761 .0958 .0675 .1341 0 .1059 

25 ................................... 0 0 .0236 0 .0316 0 .0292 .0303 .0361 .0355 .0329 .0376 .0330 0 .0350 

26 ................................... 0 0 .0326 0 .0446 0 .0414 .0370 .0523 .0309 .0349 .0379 .0458 0 .0822 

27 ................................... 0 0 .1235 0 .0717 0 .1209 .1175 .1620 .1107 .1091 .1023 .1592 0 .1467 

28 ................................... 0 0 .0384 0 .0395 0 .0439 .0498 .0637 .0479 .0512 .0447 .0603 0 .0608 

29 ................................... 0 0 .0255 0 .0271 0 .0273 .0320 .0513 .0344 .0370 .0335 .0467 0 .0472 

30 ................................... 0 0 .0190 0 .0218 0 .0205 .0252 .0472 .0285 .0311 .0269 .0447 0 .0502 

31 ................................... 0 0 .0662 0 .0686 0 .0746 .0916 .1769 .1099 .1177 .0917 .1399 0 .1553 

32 ................................... 0 0 .0077 0 .0088 0 .0089 .0099 .0129 .0152 .0156 .0178 .0118 0 .0167 

33 ................................... 0 0 .0075 0 .0089 0 .0083 .0093 .0115 .0086 .0109 .0085 .0107 0 .0112 

34 ................................... 0 0 .0462 0 .0524 0 .0525 .0565 .0743 .0629 .0609 .0643 .0706 0 .0727 

35 ................................... 0 0 .0228 0 .0228 0 .0252 .0281 .0361 .0273 .0289 .0261 .0338 0 .0338 

36 ................................... 0 0 .0349 0 .0359 0 .0400 .0467 .0559 .0434 .0463 .0410 .0537 0 .0539 

37 ................................... 0 0 .0370 0 .0361 0 .0413 .0435 .0573 .0417 .0446 .0408 .0546 0 .0634 

38 ................................... 0 0 .3471 0 .3569 0 .3982 .4567 .5550 .4310 .4597 .4055 .5321 0 .5352 

Total .............................. 1.0000 1.0000 1.8268 1.0000 1.9030 1.0000 1.8860 2.2765 2.9173 2.1712 2.3572 2.2914 3.1470 1.0000 2.7955 

NOTE.—The column industries are identified in appendix B, and the row industries are identified in appendix C.

Each entry measures the change in output in each row industry that results from a $1

change in output delivered to final demand by the column industry. Each column total is the

sum of the entries in rows 1-37; these entries include earnings paid to households em

in industries 1-37. Each column total excludes the entry in row 38; this entry is the s

earnings paid to households. Column entries may not sum to totals due to rounding.
REGIONAL MULTIPLIERS 

Table 1.1—Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area—Continued

[Dollars]

14.1802 14.1803 14.1900 14.2001 14.2002 14.2003 14.2004 14.2101 14.2102 14.2103 14.2104 14.2200 14.2300 14.2400 14.2500 14

1 ................................... 0.0580 0.0613 0 0.0573 0 0 0.2249 0.0154 0 0.0159 0.0236 0.0350 0.0421 0 0.7917 0

2 ................................... 0 000000000000000 3 ................................... 0 .0001 0 .0001 0 0 0 .0001 0 0 0 .0001 0 0 .0001 0

4 ................................... .0002 .0002 0 .0001 0 0 .0001 .0002 0 .0001 .0001 .0002 .0001 0 .0003 0

5 ................................... .0004 .0005 0 .0003 0 0 .0005 .0003 0 .0002 .0002 .0004 .0005 0 .0013 0

6 ................................... .0178 .0239 0 .0172 0 0 .0186 .0163 0 .0126 .0058 .0232 .0138 0 .0360 0

7 ................................... 1.1081 1.1356 1.0000 1.0602 1.0000 1.0000 1.0484 1.0187 1.0000 1.0181 1.0372 1.0814 1.0828 1.0000 1.1470 

8 ................................... .0001 .0002 0 .0001 0 0 .0001 .0001 0 .0001 0 .0002 .0001 0 .0001 0

9 ................................... .0056 .0069 0 .0047 0 0 .0045 .0039 0 .0038 .0017 .0050 .0036 0 .0073 0

10 ................................... .0729 .0740 0 .0660 0 0 .0253 .0318 0 .0176 .0046 .0199 .0135 0 .0103 0

11 ................................... .0318 .0481 0 .0253 0 0 .0258 .0564 0 .0680 .0196 .0412 .0898 0 .0265 0

12 ................................... .0190 .0299 0 .0165 0 0 .0209 .0128 0 .0093 .0051 .0226 .0381 0 .0478 0

13 ................................... .0248 .0824 0 .0145 0 0 .0134 .0083 0 .0057 .0051 .0731 .0104 0 .0124 0

14 ................................... .0013 .0017 0 .0012 0 0 .0012 .0011 0 .0012 .0023 .0016 .0010 0 .0022 0

15 ................................... .0014 .0020 0 .0012 0 0 .0013 .0011 0 .0009 .0004 .0019 .0010 0 .0024 0

16 ................................... .0018 .0028 0 .0021 0 0 .0043 .0383 0 .0011 .0006 .0326 .0049 0 .0030 0

17 ................................... .0037 .0053 0 .0049 0 0 .0127 .1354 0 .0029 .0013 .1149 .0159 0 .0062 0

18 ................................... .0040 .0044 0 .0030 0 0 .0040 .0036 0 .0023 .0013 .0040 .0026 0 .0084 0

19 ................................... .0023 .0028 0 .0019 0 0 .0024 .0017 0 .0015 .0007 .0024 .0017 0 .0052 0

20 ................................... .0099 .0114 0 .0083 0 0 .0080 .0068 0 .0067 .0030 .0087 .0064 0 .0137 0

21 ................................... .0005 .0006 0 .0004 0 0 .0004 .0004 0 .0004 .0002 .0005 .0003 0 .0007 0

22 ................................... .0018 .0019 0 .0016 0 0 .0013 .0010 0 .0010 .0004 .0014 .0011 0 .0017 0

23 ................................... .0011 .0014 0 .0009 0 0 .0009 .0011 0 .0011 .0004 .0012 .0017 0 .0012 0

24 ................................... .0504 .0647 0 .0503 0 0 .0510 .0497 0 .0531 .0241 .0550 .0488 0 .0844 0

25 ................................... .0297 .0386 0 .0240 0 0 .0241 .0287 0 .0296 .0115 .0309 .0449 0 .0350 0

26 ................................... .0311 .0453 0 .0285 0 0 .0252 .0292 0 .0214 .0103 .0304 .0210 0 .0512 0

27 ................................... .0793 .1068 0 .0818 0 0 .0919 .0515 0 .1095 .0599 .0940 .0718 0 .1781 0

28 ................................... .0476 .0554 0 .0404 0 0 .0385 .0335 0 .0330 .0148 .0427 .0312 0 .0643 0

29 ................................... .0309 .0353 0 .0277 0 0 .0306 .0275 0 .0289 .0115 .0312 .0265 0 .0598 0

30 ................................... .0236 .0283 0 .0209 0 0 .0310 .0195 0 .0174 .0098 .0211 .0169 0 .0789 0

31 ................................... .0855 .0975 0 .0743 0 0 .0902 .0563 0 .0580 .0271 .0745 .0609 0 .1968 0

32 ................................... .0094 .0115 0 .0078 0 0 .0077 .0080 0 .0081 .0034 .0094 .0104 0 .0130 0

33 ................................... .0083 .0109 0 .0071 0 0 .0069 .0059 0 .0062 .0027 .0082 .0060 0 .0122 0

34 ................................... .0642 .0678 0 .0522 0 0 .0558 .0508 0 .0480 .0202 .0606 .0656 0 .0740 0

35 ................................... .0279 .0315 0 .0235 0 0 .0228 .0195 0 .0201 .0088 .0255 .0189 0 .0365 0

36 ................................... .0445 .0514 0 .0375 0 0 .0352 .0308 0 .0302 .0135 .0393 .0287 0 .0579 0

37 ................................... .0426 .0488 0 .0354 0 0 .0345 .0346 0 .0303 .0132 .0377 .0290 0 .0567 0

38 ................................... .4425 .5112 0 .3732 0 0 .3499 .3063 0 .3007 .1344 .3907 .2852 0 .5751 0

Total .............................. 1.9416 2.1913 1.0000 1.7990 1.0000 1.0000 1.9646 1.8001 1.0000 1.6643 1.3443 2.0317 1.8121 1.0000 3.1242 

14.2700 14.2800 14.2900 14.3000 14.3100 14.3201 14.3202 15.0101 15.0102 15.0103 15.0200 16.0100 16.0200 16.0300 16.0400 17

1 ................................... 0.1099 0.0064 0.3070 0.0153 0.1293 0.0549 0.0900 0 0 0.0109 0 0.0194 0.0127 0.0212 0 0

2 ................................... 0 00000 .0001 0 0 0 000000

3 ................................... .0001 0 .0001 .0002 .0001 0 .0001 0 0 0 0 .0001 .0001 .0001 0 0

4 ................................... .0005 .0001 .0003 .0002 .0002 .0002 .0002 0 0 .0001 0 .0002 .0002 .0002 0 0

5 ................................... .0004 .0001 .0007 .0003 .0010 .0005 .0005 0 0 .0002 0 .0003 .0002 .0002 0 0

6 ................................... .0234 .0088 .0253 .0252 .0276 .0181 .0194 0 0 .0106 0 .0175 .0220 .0167 0 0

7 ................................... 1.2279 1.0125 1.4438 1.0360 1.2441 1.0508 1.0635 1.0000 1.0000 1.0156 1.0000 .0191 .0266 .0190 0 0

8 ................................... .0003 0 .0001 .0002 .0002 .0002 .0002 0 0 .0001 0 1.0075 1.0006 1.0007 1.0000 

9 ................................... .0058 .0028 .0056 .0079 .0064 .0051 .0053 0 0 .0048 0 .0054 .0069 .0046 0 0

10 ................................... .0099 .0143 .0387 .1192 .0933 .0725 .0452 0 0 .0335 0 .0086 .0054 .0045 0 0

11 ................................... .0246 .0169 .0365 .0311 .0288 .0336 .0408 0 0 .0404 0 .0130 .0459 .0103 0 0

12 ................................... .0283 .0068 .0313 .0233 .0329 .0260 .0283 0 0 .0165 0 .0142 .0136 .0125 0 0

13 ................................... .1397 .0135 .0465 .0145 .0802 .0655 .0843 0 0 .0167 0 .0106 .0208 .0047 0 0

14 ................................... .0016 .0007 .0016 .0015 .0017 .0013 .0014 0 0 .0008 0 .0012 .0014 .0010 0 0

15 ................................... .0027 .0007 .0018 .0018 .0021 .0016 .0017 0 0 .0008 0 .0041 .0029 .0011 0 0

16 ................................... .0022 .0041 .0042 .0020 .0025 .0020 .0030 0 0 .0018 0 .0013 .0017 .0012 0 0

17 ................................... .0060 .0138 .0121 .0044 .0053 .0042 .0079 0 0 .0041 0 .0030 .0039 .0026 0 0

18 ................................... .0041 .0010 .0047 .0055 .0040 .0031 .0038 0 0 .0029 0 .0024 .0029 .0021 0 0

19 ................................... .0027 .0011 .0032 .0029 .0030 .0023 .0025 0 0 .0017 0 .0017 .0024 .0016 0 0

20 ................................... .0099 .0052 .0102 .0134 .0109 .0089 .0092 0 0 .0066 0 .0079 .0113 .0078 0 0

21 ................................... .0005 .0003 .0006 .0007 .0006 .0005 .0005 0 0 .0003 0 .0004 .0006 .0004 0 0

22 ................................... .0015 .0007 .0014 .0021 .0016 .0021 .0016 0 0 .0014 0 .0011 .0017 .0010 0 0

23 ................................... .0011 .0005 .0011 .0014 .0012 .0009 .0011 0 0 .0009 0 .0007 .0014 .0006 0 0

24 ................................... .0554 .1415 .1092 .0514 .0813 .0687 .0697 0 0 .0316 0 .0338 .0438 .0301 0 0

25 ................................... .0284 .0148 .0308 .0334 .0315 .0253 .0271 0 0 .0259 0 .0179 .0391 .0164 0 0

26 ................................... .0668 .0165 .0464 .0752 .0427 .0296 .0335 0 0 .0188 0 .0423 .0402 .0486 0 0

27 ................................... .0826 .0710 .1199 .0466 .1074 .0938 .1015 0 0 .0423 0 .0747 .0584 .0646 0 0

28 ................................... .0484 .0271 .0497 .0656 .0532 .0437 .0451 0 0 .0320 0 .0383 .0555 .0381 0 0

29 ................................... .0319 .0162 .0385 .0390 .0352 .0277 .0306 0 0 .0290 0 .0245 .0328 .0237 0 0

30 ................................... .0234 .0119 .0391 .0302 .0279 .0211 .0244 0 0 .0153 0 .0171 .0238 .0174 0 0

31 ................................... .0853 .0423 .1132 .1211 .1031 .0774 .0861 0 0 .0583 0 .0623 .0939 .0613 0 0

32 ................................... .0092 .0047 .0101 .0120 .0104 .0084 .0091 0 0 .0075 0 .0067 .0120 .0065 0 0

33 ................................... .0090 .0043 .0091 .0195 .0098 .0096 .0106 0 0 .0060 0 .0109 .0191 .0128 0 0

34 ................................... .0511 .0242 .0575 .0765 .0595 .0520 .0598 0 0 .0869 0 .0461 .0633 .0338 0 0

35 ................................... .0272 .0142 .0279 .0410 .0311 .0264 .0281 0 0 .0193 0 .0222 .0329 .0223 0 0

36 ................................... .0454 .0224 .0450 .0623 .0490 .0402 .0415 0 0 .0297 0 .0358 .0523 .0356 0 0

37 ................................... .0433 .0239 .0445 .0642 .0450 .0380 .0408 0 0 .0334 0 .0350 .0497 .0356 0 0

38 ................................... .4449 .2224 .4434 .6199 .4871 .4000 .4119 0 0 .2956 0 .3552 .5206 .3535 0 0

Total .............................. 2.2105 1.5453 2.7175 2.0471 2.3641 1.9163 2.0186 1.0000 1.0000 1.6070 1.0000 1.6074 1.8019 1.5609 1.0000 

NOTE.—The column industries are identified in appendix B, and the row industries are identified in appendix C.

Each entry measures the change in output in each row industry that results from a $1

change in output delivered to final demand by the column industry. Each column total is the

sum of the entries in rows 1-37; these entries include earnings paid to households em

in industries 1-37. Each column total excludes the entry in row 38; this entry is the s

earnings paid to households. Column entries may not sum to totals due to rounding.
42 REGIONAL MULTIPLIERS

Table 1.1—Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area—Continued

[Dollars]

17.0600 17.0700 17.0900 17.1001 17.1100 18.0101 18.0102 18.0201 18.0202 18.0203 18.0300 18.0400 19.0100 19.0200 19.0301 19

1 ................................... 0.0102 0 0 0 0.0131 0 0 0.0134 0 0 0 0.0144 0.0105 0.0076 0.0105 0

2 ................................... 0 000000000000000 3 ................................... .0001 0 0 0 .0001 0 0 .0001 00000000 4 ................................... .0002 0 0 0 .0002 0 0 .0002 0 0 0 .0001 .0001 .0001 .0001 

5 ................................... .0004 0 0 0 .0003 0 0 .0002 0 0 0 .0002 .0002 .0001 .0002 

6 ................................... .0157 0 0 0 .0200 0 0 .0152 0 0 0 .0143 .0143 .0118 .0142 

7 ................................... .0210 0 0 0 .0323 0 0 .0247 0 0 0 .0257 .0220 .0156 .0216 

8 ................................... 1.0111 1.0000 1.0000 1.0000 1.0021 1.0000 1.0000 1.0018 1.0000 1.0000 1.0000 .0051 .0084 .0111 .0213 

9 ................................... .0066 0 0 0 .0061 0 0 .0329 0001.1177 1.0269 1.0138 1.0094 

10 ................................... .0066 0 0 0 .0157 0 0 .0083 0 0 0 .0079 .0107 .0252 .0116 

11 ................................... .0318 0 0 0 .0378 0 0 .0130 0 0 0 .0209 .0167 .0158 .0172 

12 ................................... .0757 0 0 0 .0387 0 0 .0177 0 0 0 .0094 .0087 .0078 .0102 

13 ................................... .0166 0 0 0 .0094 0 0 .0548 0 0 0 .0117 .0063 .0071 .0098 

14 ................................... .0011 0 0 0 .0018 0 0 .0012 0 0 0 .0011 .0012 .0055 .0011 

15 ................................... .0012 0 0 0 .0018 0 0 .0013 0 0 0 .0010 .0011 .0011 .0011 

16 ................................... .0014 0 0 0 .0016 0 0 .0014 0 0 0 .0012 .0012 .0011 .0011 

17 ................................... .0034 0 0 0 .0039 0 0 .0036 0 0 0 .0028 .0027 .0026 .0027 

18 ................................... .0022 0 0 0 .0027 0 0 .0021 0 0 0 .0019 .0018 .0015 .0018 

19 ................................... .0019 0 0 0 .0021 0 0 .0021 0 0 0 .0019 .0018 .0014 .0018 

20 ................................... .0088 0 0 0 .0103 0 0 .0105 0 0 0 .0097 .0091 .0068 .0091 

21 ................................... .0005 0 0 0 .0005 0 0 .0005 0 0 0 .0005 .0005 .0003 .0005 

22 ................................... .0016 0 0 0 .0014 0 0 .0015 0 0 0 .0017 .0016 .0013 .0021 

23 ................................... .0010 0 0 0 .0012 0 0 .0015 0 0 0 .0013 .0008 .0007 .0009 

24 ................................... .0546 0 0 0 .0530 0 0 .0388 0 0 0 .0317 .0346 .0324 .0489 

25 ................................... .0288 0 0 0 .0328 0 0 .0207 0 0 0 .0239 .0214 .0179 .0225 

26 ................................... .0369 0 0 0 .0428 0 0 .0302 0 0 0 .0235 .0220 .0269 .0245 

27 ................................... .0679 0 0 0 .0521 0 0 .0546 0 0 0 .0671 .0789 .0974 .0598 

28 ................................... .0430 0 0 0 .0505 0 0 .0513 0 0 0 .0474 .0448 .0323 .0452 

29 ................................... .0275 0 0 0 .0302 0 0 .0287 0 0 0 .0317 .0381 .0235 .0263 

30 ................................... .0192 0 0 0 .0224 0 0 .0219 0 0 0 .0208 .0198 .0157 .0208 

31 ................................... .0726 0 0 0 .0869 0 0 .0860 0 0 0 .0811 .0772 .0569 .0761 

32 ................................... .0086 0 0 0 .0099 0 0 .0089 0 0 0 .0087 .0087 .0066 .0079 

33 ................................... .0102 0 0 0 .0140 0 0 .0128 0 0 0 .0099 .0083 .0073 .0108 

34 ................................... .0581 0 0 0 .0573 0 0 .0381 0 0 0 .0435 .0437 .0355 .0419 

35 ................................... .0245 0 0 0 .0294 0 0 .0286 0 0 0 .0287 .0278 .0204 .0271 

36 ................................... .0401 0 0 0 .0471 0 0 .0488 0 0 0 .0449 .0426 .0302 .0425 

37 ................................... .0377 0 0 0 .0435 0 0 .0406 0 0 0 .0400 .0350 .0294 .0345 

38 ................................... .3994 0 0 0 .4689 0 0 .4854 0 0 0 .4460 .4239 .3007 .4232 

Total .............................. 1.7489 1.0000 1.0000 1.0000 1.7753 1.0000 1.0000 1.7181 1.0000 1.0000 1.0000 1.7534 1.6496 1.5710 1.6370 

19.0303 19.0304 19.0305 19.0306 20.0100 20.0200 20.0300 20.0400 20.0501 20.0502 20.0600 20.0701 20.0702 20.0703 20.0800 20

1 ................................... 0.0120 0.0363 0 0.0108 0.1012 0.0132 0.0156 0.0163 0.0136 0.0161 0.0134 0.0139 0.0142 0 0.0100 0

2 ................................... 0 0 0 0 .0034 00000000000

3 ................................... 0 .0001 0 0 0 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 0 .0001 

4 ................................... .0001 .0002 0 .0002 .0002 .0002 .0002 .0001 .0002 .0002 .0003 .0002 .0002 0 .0003 

5 ................................... .0002 .0003 0 .0003 .0005 .0002 .0003 .0006 .0003 .0003 .0003 .0003 .0005 0 .0005 

6 ................................... .0159 .0184 0 .0161 .0138 .0215 .0275 .0646 .0232 .0258 .0202 .0228 .0311 0 .0180 

7 ................................... .0251 .0479 0 .0226 .0175 .0201 .0312 .0274 .0274 .0328 .0228 .0286 .0293 0 .0184 

8 ................................... .0013 .0280 0 .0142 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 0 .0001 

9 ................................... 1.0736 1.0189 1.0000 1.0201 .0043 .0049 .0078 .0069 .0067 .0081 .0056 .0071 .0072 0 .0045 

10 ................................... .0084 .0179 0 .0275 .0045 .0046 .0139 .0052 .0124 .0245 .0068 .0108 .0091 0 .0070 

11 ................................... .0182 .0258 0 .0259 .0099 .0126 .0222 .0171 .0314 .0311 .0175 .0211 .0442 0 .0244 

12 ................................... .0395 .0385 0 .0271 .0310 .0116 .0180 .0122 .0284 .0451 .0389 .0212 .0160 0 .0402 

13 ................................... .0208 .1306 0 .0226 .0205 .0063 .0077 .0147 .0148 .0171 .0097 .0074 .0101 0 .0052 

14 ................................... .0012 .0016 0 .0014 1.0054 1.0215 1.0407 1.0308 1.0266 1.0439 1.0312 1.0299 1.0661 1.0000 1.0350 

15 ................................... .0012 .0018 0 .0016 .0011 .0016 .0021 .0035 .0091 .0030 .0020 .0020 .0187 0 .0016 

16 ................................... .0014 .0019 0 .0016 .0127 .0024 .0023 .0028 .0091 .0061 .0021 .0079 .0139 0 .0021 

17 ................................... .0034 .0049 0 .0036 .0280 .0079 .0057 .0066 .0568 .0391 .0064 .0411 .0666 0 .0069 

18 ................................... .0020 .0026 0 .0024 .0118 .0035 .0039 .0029 .0050 .0042 .0036 .0032 .0070 0 .0032 

19 ................................... .0023 .0025 0 .0020 .0038 .0020 .0030 .0032 .0034 .0034 .0024 .0029 .0057 0 .0018 

20 ................................... .0105 .0110 0 .0092 .0078 .0088 .0142 .0125 .0118 .0141 .0098 .0124 .0126 0 .0076 

21 ................................... .0006 .0006 0 .0005 .0006 .0005 .0007 .0006 .0006 .0007 .0005 .0007 .0007 0 .0004 

22 ................................... .0016 .0024 0 .0037 .0010 .0013 .0019 .0015 .0018 .0021 .0015 .0016 .0018 0 .0012 

23 ................................... .0015 .0013 0 .0018 .0007 .0007 .0012 .0010 .0013 .0014 .0009 .0011 .0015 0 .0009 

24 ................................... .0350 .0475 0 .0402 .0309 .0547 .0646 .0565 .0675 .0623 .0604 .0725 .0719 0 .0714 

25 ................................... .0244 .0263 0 .0252 .0148 .0193 .0305 .0258 .0330 .0352 .0227 .0280 .0392 0 .0242 

26 ................................... .0267 .0305 0 .0267 .0185 .0387 .0450 .0335 .0334 .0362 .0504 .0297 .0343 0 .0339 

27 ................................... .0501 .0803 0 .1002 .0448 .0614 .1199 .1025 .1267 .1003 .0774 .1339 .1219 0 .1108 

28 ................................... .0514 .0538 0 .0449 .0355 .0432 .0681 .0612 .0576 .0688 .0481 .0609 .0614 0 .0379 

29 ................................... .0541 .0398 0 .0341 .0241 .0314 .0396 .0392 .0384 .0412 .0363 .0376 .0458 0 .0322 

30 ................................... .0222 .0242 0 .0210 .0191 .0217 .0310 .0269 .0263 .0303 .0236 .0260 .0292 0 .0192 

31 ................................... .0899 .0920 0 .0815 .0582 .0680 .1084 .0973 .0986 .1176 .0769 .1021 .1030 0 .0638 

32 ................................... .0110 .0107 0 .0087 .0058 .0074 .0115 .0102 .0112 .0125 .0087 .0109 .0135 0 .0078 

33 ................................... .0309 .0160 0 .0104 .0059 .0074 .0117 .0119 .0100 .0113 .0081 .0107 .0111 0 .0072 

34 ................................... .0434 .0551 0 .0506 .0318 .0399 .0580 .0536 .0608 .0638 .0445 .0560 .0790 0 .0624 

35 ................................... .0295 .0314 0 .0287 .0190 .0257 .0384 .0318 .0345 .0394 .0283 .0343 .0377 0 .0241 

36 ................................... .0490 .0510 0 .0424 .0309 .0393 .0613 .0550 .0536 .0645 .0442 .0567 .0570 0 .0343 

37 ................................... .0387 .0531 0 .0414 .0489 .0406 .0708 .0584 .0479 .0560 .0408 .0499 .0517 0 .0344 

38 ................................... .4873 .5062 0 .4221 .3071 .3911 .6103 .5472 .5332 .6413 .4401 .5644 .5672 0 .3415 

Total .............................. 1.7971 2.0053 1.0000 1.7710 1.6681 1.6444 1.9791 1.8946 1.9836 2.0587 1.7661 1.9458 2.1135 1.0000 1.7528 

NOTE.—The column industries are identified in appendix B, and the row industries are identified in appendix C.

Each entry measures the change in output in each row industry that results from a $1

change in output delivered to final demand by the column industry. Each column total is the

sum of the entries in rows 1-37; these entries include earnings paid to households em

in industries 1-37. Each column total excludes the entry in row 38; this entry is the s

earnings paid to households. Column entries may not sum to totals due to rounding.
REGIONAL MULTIPLIERS 

Table 1.1—Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area—Continued

[Dollars]

20.0903 20.0904 21.0000 22.0101 22.0102 22.0103 22.0200 22.0300 22.0400 23.0100 23.0200 23.0300 23.0400 23.0500 23.0600 23

1 ................................... 0.0159 0 0.0163 0.0151 0.0148 0 0.0231 0.0140 0.0131 0.0156 0.0133 0.0127 0.0159 0.0153 0.0122 0

2 ................................... 0 000000000000000 3 ................................... .0001 0 .0001 .0001 .0001 0 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0002 .0001 

4 ................................... .0004 0 .0002 .0002 .0002 0 .0002 .0002 .0002 .0002 .0002 .0002 .0002 .0003 .0002 

5 ................................... .0003 0 .0003 .0004 .0004 0 .0003 .0004 .0003 .0003 .0004 .0004 .0004 .0006 .0004 

6 ................................... .0276 0 .0285 .0313 .0240 0 .0267 .0269 .0245 .0293 .0242 .0272 .0267 .0304 .0270 

7 ................................... .0323 0 .0335 .0312 .0301 0 .0378 .0291 .0272 .0312 .0278 .0264 .0331 .0318 .0249 

8 ................................... .0001 0 .0001 .0003 .0002 0 .0142 .0151 .0048 .0092 .0159 .0385 .0015 .0007 .0269 

9 ................................... .0079 0 .0082 .0076 .0077 0 .0088 .0099 .0107 .0074 .0069 .0073 .0081 .0077 .0063 

10 ................................... .0190 0 .0443 .0348 .0476 0 .0140 .0359 .0148 .0215 .0251 .0145 .0179 .0222 .0099 

11 ................................... .0331 0 .0216 .0347 .0175 0 .0233 .0315 .0302 .0231 .0262 .0242 .0299 .0303 .0242 

12 ................................... .0311 0 .0174 .0346 .1394 0 .0267 .0291 .0193 .0244 .0278 .0235 .0319 .0338 .0181 

13 ................................... .0241 0 .0081 .0122 .0165 0 .0830 .0437 .0633 .0235 .0330 .0396 .0513 .0165 .0382 

14 ................................... 1.0320 1.0000 1.0454 1.0520 1.0158 1.0000 1.0469 1.0072 1.0278 1.0224 1.0046 1.0049 1.0245 1.0114 1.0265 

15 ................................... .0039 0 .0020 .0081 .0065 0 .0030 .0073 .0027 .0030 .0023 .0030 .0038 .0032 .0025 

16 ................................... .0078 0 .0023 .0045 .0029 0 .0104 .0865 .0686 .0147 .0661 .0762 .0182 .1476 .0979 

17 ................................... .0372 0 .0050 .0238 .0091 0 .0308 .0301 .1219 .0185 .0289 .0278 .0311 .0338 .0168 

18 ................................... .0052 0 .0039 .0054 .0034 0 .0044 .0043 .0058 .0031 .0038 .0042 .0044 .0067 .0039 

19 ................................... .0035 0 .0029 .0033 .0029 0 .0032 .0034 .0031 .0032 .0032 .0032 .0041 .0041 .0026 

20 ................................... .0140 0 .0143 .0133 .0130 0 .0128 .0124 .0117 .0129 .0119 .0113 .0141 .0139 .0106 

21 ................................... .0007 0 .0008 .0007 .0007 0 .0007 .0007 .0006 .0007 .0006 .0006 .0007 .0007 .0006 

22 ................................... .0022 0 .0020 .0022 .0018 0 .0021 .0020 .0019 .0019 .0018 .0019 .0022 .0020 .0017 

23 ................................... .0014 0 .0012 .0014 .0010 0 .0018 .0013 .0016 .0012 .0012 .0011 .0014 .0013 .0012 

24 ................................... .0654 0 .0729 .0641 .0931 0 .0565 .0590 .0492 .0497 .0486 .0601 .0603 .0656 .0499 

25 ................................... .0359 0 .0321 .0354 .0288 0 .0300 .0374 .0317 .0304 .0316 .0299 .0337 .0364 .0289 

26 ................................... .0589 0 .0401 .0411 .0476 0 .0331 .0401 .0318 .0343 .0357 .0349 .0392 .0545 .0324 

27 ................................... .1078 0 .1273 .1145 .1056 0 .1014 .0990 .0932 .0901 .0908 .0993 .0894 .1044 .0830 

28 ................................... .0678 0 .0701 .0650 .0638 0 .0619 .0609 .0565 .0632 .0581 .0549 .0686 .0666 .0520 

29 ................................... .0436 0 .0466 .0414 .0398 0 .0589 .0412 .0402 .0422 .0522 .0411 .0464 .0466 .0315 

30 ................................... .0306 0 .0294 .0290 .0291 0 .0281 .0264 .0248 .0267 .0254 .0245 .0304 .0301 .0232 

31 ................................... .1122 0 .1155 .1072 .1043 0 .1033 .1061 .1021 .1072 .0984 .0931 .1189 .1114 .0888 

32 ................................... .0128 0 .0124 .0126 .0110 0 .0115 .0128 .0110 .0114 .0109 .0103 .0129 .0126 .0097 

33 ................................... .0114 0 .0131 .0112 .0131 0 .0105 .0109 .0101 .0127 .0104 .0102 .0122 .0119 .0095 

34 ................................... .0669 0 .0632 .0879 .0637 0 .0622 .0740 .0907 .0992 .1128 .0954 .0836 .0894 .0532 

35 ................................... .0405 0 .0402 .0413 .0367 0 .0393 .0359 .0339 .0373 .0337 .0341 .0415 .0393 .0313 

36 ................................... .0632 0 .0661 .0602 .0582 0 .0576 .0568 .0530 .0591 .0546 .0510 .0644 .0620 .0483 

37 ................................... .0593 0 .0579 .0570 .0667 0 .0529 .0569 .0513 .0526 .0482 .0526 .0636 .0584 .0450 

38 ................................... .6284 0 .6575 .5986 .5787 0 .5722 .5652 .5273 .5880 .5427 .5072 .6406 .6165 .4806 

Total .............................. 2.0760 1.0000 2.0449 2.0849 2.1173 1.0000 2.0816 2.1086 2.1336 1.9834 2.0367 2.0400 2.0870 2.2039 1.9390 2

24.0100 24.0400 24.0500 24.0701 24.0702 24.0703 24.0705 24.0706 24.0800 25.0000 26.0100 26.0200 26.0301 26.0302 26.0400 26

1 ................................... 0 0.0131 0.0068 0.0124 0.0109 0.0101 0.0103 0.0111 0.0142 0.0101 0.0137 0.0138 0.0115 0.0169 0.0123 0

2 ................................... 0 000000000000000

3 ................................... 0 .0001 0 .0001 .0001 0 0 .0001 .0003 .0001 0 0 0 .0001 0 

4 ................................... 0 .0001 .0001 .0002 .0002 .0001 .0001 .0002 .0005 .0002 .0001 .0001 .0001 .0002 .0001 

5 ................................... 0 .0002 .0001 .0004 .0003 .0002 .0002 .0003 .0007 .0002 .0002 .0003 .0002 .0003 .0002 

6 ................................... 0 .0204 .0113 .0177 .0186 .0167 .0175 .0181 .0256 .0173 .0210 .0194 .0165 .0233 .0167 

7 ................................... 0 .0272 .0139 .0249 .0222 .0210 .0215 .0228 .0262 .0207 .0288 .0287 .0238 .0339 .0258 

8 ................................... 0 .0001 .0005 .0002 .0003 .0001 .0003 .0001 .0003 .0001 .0001 .0001 .0003 .0004 .0002 

9 ................................... 0 .0067 .0037 .0054 .0054 .0052 .0054 .0056 .0052 .0051 .0070 .0069 .0058 .0079 .0062 

10 ................................... 1.0000 1.0472 1.0536 1.0318 1.0389 1.0565 1.0587 1.0455 1.0106 1.0307 .0117 .0124 .0177 .0206 .0129 

11 ................................... 0 .0187 .0198 .0241 .0198 .0199 .0171 .0219 .0161 .0122 1.0441 1.2119 1.2050 1.0764 1.1443 

12 ................................... 0 .0253 .0204 .0774 .1043 .0164 .0153 .0365 .0295 .0374 .0190 .0240 .0180 .0403 .0226 

13 ................................... 0 .0071 .0245 .0534 .0347 .0055 .0058 .0162 .0272 .0085 .0072 .0114 .0093 .0326 .0271 

14 ................................... 0 .0015 .0009 .0021 .0013 .0013 .0013 .0015 .0089 .0013 .0014 .0015 .0012 .0016 .0013 

15 ................................... 0 .0015 .0010 .0017 .0015 .0012 .0012 .0014 .0018 .0013 .0014 .0014 .0012 .0017 .0013 

16 ................................... 0 .0018 .0012 .0043 .0022 .0014 .0014 .0017 .0037 .0045 .0016 .0017 .0015 .0022 .0016 

17 ................................... 0 .0040 .0027 .0046 .0041 .0031 .0032 .0038 .0096 .0039 .0038 .0039 .0033 .0047 .0038 

18 ................................... 0 .0040 .0022 .0039 .0036 .0025 .0025 .0037 .0038 .0029 .0025 .0040 .0028 .0054 .0039 

19 ................................... 0 .0023 .0014 .0022 .0023 .0018 .0019 .0021 .0022 .0019 .0025 .0029 .0021 .0029 .0023 

20 ................................... 0 .0116 .0063 .0094 .0097 .0090 .0094 .0098 .0092 .0090 .0123 .0121 .0101 .0138 .0109 

21 ................................... 0 .0006 .0003 .0005 .0005 .0005 .0005 .0005 .0005 .0005 .0006 .0006 .0005 .0007 .0006 

22 ................................... 0 .0017 .0013 .0018 .0015 .0013 .0014 .0015 .0013 .0012 .0024 .0028 .0019 .0043 .0021 

23 ................................... 0 .0010 .0007 .0009 .0009 .0008 .0008 .0009 .0008 .0007 .0011 .0015 .0012 .0013 .0012 

24 ................................... 0 .0638 .0480 .0738 .0812 .0664 .0623 .0650 .0716 .0647 .0650 .0945 .0620 .0678 .0500 

25 ................................... 0 .0287 .0184 .0248 .0235 .0228 .0227 .0251 .0215 .0207 .0306 .0375 .0305 .0318 .0286 

26 ................................... 0 .0340 .0220 .0352 .0417 .0255 .0284 .0383 .0791 .0299 .0273 .0257 .0217 .0372 .0229 

27 ................................... 0 .0844 .0543 .0867 .0645 .0663 .0719 .0940 .0773 .0663 .0482 .0588 .0795 .0645 .0614 

28 ................................... 0 .0568 .0301 .0455 .0469 .0440 .0454 .0478 .0444 .0440 .0603 .0587 .0487 .0666 .0526 

29 ................................... 0 .0334 .0207 .0291 .0291 .0258 .0268 .0295 .0299 .0256 .0363 .0445 .0374 .0423 .0361 

30 ................................... 0 .0260 .0163 .0219 .0224 .0197 .0214 .0226 .0229 .0203 .0256 .0273 .0227 .0289 .0249 

31 ................................... 0 .0947 .0505 .0745 .0765 .0739 .0756 .0816 .0695 .0718 .1030 .1219 .1072 .1186 .0919 

32 ................................... 0 .0118 .0080 .0105 .0102 .0095 .0100 .0111 .0083 .0074 .0107 .0146 .0125 .0119 .0131 

33 ................................... 0 .0104 .0054 .0081 .0138 .0076 .0080 .0087 .0087 .0075 .0101 .0123 .0086 .0120 .0093 

34 ................................... 0 .0531 .0321 .0476 .0457 .0398 .0416 .0582 .0454 .0401 .0858 .1600 .0612 .0635 .0637 

35 ................................... 0 .0332 .0169 .0268 .0266 .0249 .0255 .0284 .0245 .0249 .0359 .0379 .0311 .0408 .0362 

36 ................................... 0 .0531 .0271 .0416 .0428 .0411 .0420 .0440 .0395 .0403 .0566 .0550 .0456 .0631 .0485 

37 ................................... 0 .0494 .0326 .0416 .0447 .0372 .0405 .0476 .0553 .0404 .0514 .0545 .0441 .0545 .0522 

38 ................................... 0 .5277 .2696 .4138 .4256 .4086 .4175 .4373 .3928 .4013 .5635 .5466 .4535 .6272 .4828 

Total .............................. 1.0000 1.8287 1.5551 1.8472 1.8530 1.6793 1.6982 1.8068 1.7960 1.6738 1.8296 2.1646 1.9467 1.9951 1.8887 2

NOTE.—The column industries are identified in appendix B, and the row industries are identified in appendix C.

Each entry measures the change in output in each row industry that results from a $1

change in output delivered to final demand by the column industry. Each column total is the

sum of the entries in rows 1-37; these entries include earnings paid to households em

in industries 1-37. Each column total excludes the entry in row 38; this entry is the s

earnings paid to households. Column entries may not sum to totals due to rounding.
44 REGIONAL MULTIPLIERS

Table 1.1—Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area—Continued

[Dollars]

26.0601 26.0602 26.0700 26.0802 26.0803 26.0806 27.0100 27.0201 27.0202 27.0300 27.0401 27.0402 27.0403 27.0404 27.0405 27

1 ................................... 0.0103 0.0147 0.0110 0.0204 0.0196 0.0197 0.0100 0.0143 0.0140 0.0179 0 0.0167 0.0203 0.0131 0 0

2 ................................... 0 000000000000000 3 ................................... 0 .0001 0 .0001 .0001 .0001 .0002 .0002 .0001 .0001 0 .0001 .0001 .0001 0 

4 ................................... .0001 .0002 .0001 .0002 .0002 .0002 .0011 .0058 .0014 .0003 0 .0003 .0007 .0003 0 

5 ................................... .0002 .0003 .0002 .0004 .0003 .0003 .0023 .0360 .0089 .0028 0 .0014 .0021 .0012 0 

6 ................................... .0167 .0218 .0153 .0287 .0263 .0265 .0247 .0362 .0268 .0190 0 .0205 .0361 .0219 0 

7 ................................... .0214 .0307 .0233 .0428 .0415 .0414 .0205 .0271 .0285 .0355 0 .0312 .0425 .0273 0 

8 ................................... .0001 .0036 .0001 .0092 .0001 .0001 .0001 .0001 .0001 .0001 0 .0001 .0001 .0001 0 

9 ................................... .0052 .0075 .0056 .0104 .0101 .0102 .0047 .0065 .0065 .0050 0 .0054 .0105 .0053 0 

10 ................................... .0282 .0289 .0200 .0217 .0094 .0097 .0123 .0087 .0309 .0151 0 .0263 .0155 .0052 0 

11 ................................... 1.0376 1.1022 1.1756 1.0376 1.0505 1.1429 .0192 .0173 .0164 .0620 0 .0165 .0218 .0137 0 

12 ................................... .0259 .0245 .0203 .0604 .0217 .0203 1.0543 1.3697 1.3412 1.0478 1.0000 1.0994 1.1222 1.1464 1.0000 

13 ................................... .0067 .0388 .0196 .0198 .0138 .0133 .0184 .0176 .0147 .0147 0 .0111 .0134 .0087 0 

14 ................................... .0012 .0017 .0013 .0020 .0019 .0019 .0013 .0019 .0016 .0013 0 .0013 .0026 .0013 0 

15 ................................... .0012 .0017 .0012 .0022 .0020 .0022 .0020 .0023 .0019 .0025 0 .0017 .0026 .0018 0 

16 ................................... .0014 .0044 .0015 .0036 .0066 .0026 .0048 .0033 .0026 .0035 0 .0055 .0028 .0045 0 

17 ................................... .0032 .0120 .0034 .0077 .0056 .0056 .0104 .0066 .0050 .0120 0 .0186 .0061 .0155 0 

18 ................................... .0029 .0045 .0040 .0063 .0168 .0037 .0044 .0042 .0041 .0030 0 .0028 .0065 .0020 0 

19 ................................... .0020 .0027 .0021 .0035 .0038 .0037 .0021 .0030 .0026 .0021 0 .0021 .0037 .0022 0 

20 ................................... .0092 .0131 .0098 .0177 .0175 .0180 .0082 .0119 .0111 .0091 0 .0095 .0182 .0092 0 

21 ................................... .0005 .0007 .0005 .0009 .0009 .0009 .0005 .0007 .0006 .0005 0 .0005 .0010 .0005 0 

22 ................................... .0015 .0020 .0016 .0027 .0101 .0138 .0014 .0017 .0016 .0015 0 .0014 .0023 .0015 0 

23 ................................... .0008 .0013 .0012 .0016 .0017 .0021 .0008 .0010 .0009 .0011 0 .0008 .0013 .0007 0 

24 ................................... .0567 .0512 .0413 .0620 .0520 .0610 .0582 .2479 .1255 .0694 0 .0913 .0663 .0676 0 

25 ................................... .0239 .0309 .0267 .0384 .0401 .0403 .0229 .0296 .0376 .0295 0 .0248 .0428 .0227 0 

26 ................................... .0270 .0321 .0240 .0426 .0377 .0456 .0809 .1470 .0626 .0471 0 .0378 .0690 .0301 0 

27 ................................... .0679 .0638 .0808 .0630 .0733 .0790 .0639 .1065 .1036 .0935 0 .0691 .0651 .0737 0 

28 ................................... .0447 .0636 .0474 .0866 .0852 .0870 .0409 .0605 .0550 .0434 0 .0469 .0897 .0457 0 

29 ................................... .0296 .0374 .0327 .0490 .0509 .0518 .0272 .0392 .0346 .0633 0 .0279 .0478 .0261 0 

30 ................................... .0205 .0299 .0219 .0366 .0373 .0391 .0198 .0289 .0244 .0227 0 .0210 .0361 .0193 0 

31 ................................... .0746 .1064 .0802 .1505 .1449 .1468 .0704 .0957 .0917 .0756 0 .0784 .1442 .0772 0 

32 ................................... .0100 .0130 .0118 .0172 .0179 .0183 .0080 .0103 .0096 .0091 0 .0085 .0150 .0080 0 

33 ................................... .0079 .0109 .0087 .0153 .0151 .0152 .0073 .0099 .0093 .0078 0 .0079 .0144 .0075 0 

34 ................................... .0615 .0634 .0590 .0864 .0869 .0809 .0777 .0680 .0678 .0992 0 .0619 .0874 .0495 0 

35 ................................... .0270 .0394 .0312 .0550 .0543 .0513 .0246 .0323 .0304 .0263 0 .0267 .0492 .0256 0 

36 ................................... .0414 .0596 .0442 .0822 .0802 .0814 .0375 .0521 .0501 .0397 0 .0430 .0851 .0425 0 

37 ................................... .0405 .0548 .0479 .0682 .0754 .0780 .0424 .0654 .0498 .0418 0 .0388 .0669 .0359 0 

38 ................................... .4115 .5932 .4397 .8174 .7976 .8102 .3725 .5186 .4982 .3949 0 .4278 .8465 .4226 0 

Total .............................. 1.7095 1.9735 1.8757 2.1528 2.1115 2.2151 1.7851 2.5692 2.2734 1.9254 1.0000 1.8573 2.2113 1.8137 1.0000 

28.0100 28.0200 28.0300 28.0400 29.0100 29.0201 29.0202 29.0203 29.0300 30.0000 31.0101 31.0102 31.0103 31.0200 31.0300 32

1 ................................... 0.0108 0 0 0 0.0140 0.0146 0.0113 0.0172 0.0143 0.0156 0.0038 0.0137 0 0.0105 0.0108 0

2 ................................... 0 000000000000000

3 ................................... .0001 0 0 0 .0001 .0001 0 .0001 0 0 0 0 0 .0001 .0001 

4 ................................... .0005 0 0 0 .0002 .0002 .0002 .0006 .0001 .0003 .0138 .0004 0 .0006 .0007 

5 ................................... .0017 0 0 0 .0003 .0008 .0005 .0012 .0003 .0013 .0002 .0005 0 .0207 .0047 

6 ................................... .0194 0 0 0 .0187 .0159 .0158 .0176 .0143 .0183 .0159 .0169 0 .0166 .0185 

7 ................................... .0214 0 0 0 .0265 .0316 .0213 .0365 .0308 .0290 .0078 .0291 0 .0214 .0224 

8 ................................... .0001 0 0 0 .0001 .0001 .0001 .0001 .0001 .0001 0 .0001 0 .0001 .0004 

9 ................................... .0044 0 0 0 .0059 .0046 .0047 .0045 .0047 .0049 .0021 .0049 0 .0053 .0056 

10 ................................... .0147 0 0 0 .0182 .0570 .0389 .0187 .0382 .0047 .0022 .0248 0 .0192 .0187 

11 ................................... .0184 0 0 0 .0254 .0485 .0318 .0170 .0313 .0166 .0062 .0199 0 .0181 .0195 

12 ................................... 1.0928 1.0000 1.0000 1.0000 1.1088 1.0659 1.0678 1.0990 1.0308 1.1089 1.0084 1.0488 1.0000 1.0497 1.0151 

13 ................................... .0621 0 0 0 .0260 .0546 .0558 .0401 .0653 .0089 .0045 .0440 0 .0222 .0203 

14 ................................... .0012 0 0 0 .0013 .0012 .0013 .0012 .0012 .0011 .0008 .0014 0 .0063 .0020 

15 ................................... .0019 0 0 0 .0016 .0016 .0015 .0014 .0017 .0051 .0009 .0015 0 .0102 .0370 

16 ................................... .0020 0 0 0 .0025 .0028 .0110 .0046 .0058 .0105 .0013 .0103 0 .0019 .0023 

17 ................................... .0045 0 0 0 .0075 .0068 .0476 .0183 .0236 .0372 .0030 .0405 0 .0058 .0058 

18 ................................... .0043 0 0 0 .0024 .0067 .0029 .0024 .0025 .0019 .0014 .0025 0 .0021 .0021 

19 ................................... .0021 0 0 0 .0025 .0020 .0021 .0018 .0020 .0020 .0011 .0021 0 .0020 .0022 

20 ................................... .0077 0 0 0 .0103 .0080 .0082 .0079 .0082 .0086 .0033 .0140 0 .0094 .0098 

21 ................................... .0004 0 0 0 .0005 .0004 .0004 .0004 .0004 .0005 .0002 .0005 0 .0005 .0005 

22 ................................... .0015 0 0 0 .0020 .0014 .0015 .0013 .0014 .0013 .0005 .0013 0 .0013 .0015 

23 ................................... .0008 0 0 0 .0010 .0011 .0010 .0008 .0010 .0007 .0003 .0009 0 .0009 .0009 

24 ................................... .0596 0 0 0 .0347 .0529 .0508 .0562 .0417 .0701 .0596 .0551 0 .0638 .0539 

25 ................................... .0217 0 0 0 .0279 .0256 .0253 .0208 .0269 .0222 .0094 .0256 0 .0254 .0285 

26 ................................... .0600 0 0 0 .0313 .0305 .0263 .0530 .0240 .0296 .0299 .0270 0 .0439 .0478 

27 ................................... .0733 0 0 0 .0750 .0949 .0717 .0775 .0713 .0604 .0548 .1077 0 .1036 .1233 

28 ................................... .0372 0 0 0 .0504 .0391 .0400 .0387 .0396 .0423 .0165 .0413 0 .0460 .0473 

29 ................................... .0253 0 0 0 .0345 .0258 .0255 .0245 .0259 .0249 .0213 .0301 0 .0296 .0316 

30 ................................... .0185 0 0 0 .0218 .0189 .0188 .0179 .0187 .0183 .0111 .0190 0 .0205 .0215 

31 ................................... .0641 0 0 0 .0890 .0676 .0690 .0642 .0700 .0715 .0339 .0713 0 .0768 .0793 

32 ................................... .0072 0 0 0 .0095 .0084 .0083 .0073 .0085 .0077 .0034 .0081 0 .0087 .0092 

33 ................................... .0094 0 0 0 .0099 .0070 .0095 .0069 .0070 .0070 .0032 .0073 0 .0083 .0086 

34 ................................... .0856 0 0 0 .1260 .0500 .0527 .0422 .0641 .0433 .0280 .0438 0 .0487 .0521 

35 ................................... .0217 0 0 0 .0296 .0235 .0241 .0214 .0239 .0238 .0096 .0235 0 .0253 .0270 

36 ................................... .0342 0 0 0 .0476 .0364 .0372 .0357 .0371 .0393 .0149 .0385 0 .0422 .0441 

37 ................................... .0388 0 0 0 .0466 .0355 .0356 .0364 .0346 .0343 .0175 .0345 0 .0399 .0425 

38 ................................... .3399 0 0 0 .4728 .3615 .3702 .3551 .3688 .3907 .1485 .3823 0 .4201 .4389 

Total .............................. 1.8294 1.0000 1.0000 1.0000 1.9094 1.8418 1.8208 1.7951 1.7717 1.7722 1.3911 1.8109 1.0000 1.8079 1.8179 

NOTE.—The column industries are identified in appendix B, and the row industries are identified in appendix C.

Each entry measures the change in output in each row industry that results from a $1

change in output delivered to final demand by the column industry. Each column total is the

sum of the entries in rows 1-37; these entries include earnings paid to households em

in industries 1-37. Each column total excludes the entry in row 38; this entry is the s

earnings paid to households. Column entries may not sum to totals due to rounding.
REGIONAL MULTIPLIERS 

Table 1.1—Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area—Continued

[Dollars]

32.0200 32.0300 32.0400 32.0500 32.0600 33.0001 34.0100 34.0201 34.0202 34.0301 34.0302 34.0303 34.0304 34.0305 35.0100 35

1 ................................... 0 0.0147 0.0126 0.0127 0.0149 0.5809 0.1168 0.1116 0 0.1608 0.0402 0 0.0772 0.0913 0.0130 0

2 ................................... 0 000000000000000 3 ................................... 0 .0001 .0001 .0001 .0001 .0001 .0001 .0001 0 .0001 0 0 .0001 .0001 .0001 0

4 ................................... 0 .0003 .0003 .0003 .0003 .0003 .0002 .0002 0 .0003 .0001 0 .0002 .0002 .0006 0

5 ................................... 0 .0006 .0006 .0004 .0005 .0018 .0005 .0005 0 .0006 .0003 0 .0004 .0005 .0025 0

6 ................................... 0 .0246 .0228 .0218 .0250 .0344 .0240 .0231 0 .0248 .0173 0 .0236 .0231 .0283 0

7 ................................... 0 .0300 .0256 .0265 .0309 .5520 .1238 .1200 0 .1681 .0508 0 .0895 .1015 .0267 0

8 ................................... 0 .0005 .0003 .0017 .0001 .0001 .0011 .0111 0 .0009 .0203 0 .0196 .0047 .0001 0

9 ................................... 0 .0074 .0064 .0068 .0076 .0087 .0072 .0079 0 .0083 .0067 0 .0088 .0076 .0067 0

10 ................................... 0 .0248 .0231 .0159 .0243 .0172 .0147 .0204 0 .0320 .0092 0 .0138 .0165 .0230 0

11 ................................... 0 .0296 .0176 .0236 .0267 .0289 .0194 .0313 0 .0311 .0162 0 .0254 .0224 .0268 0

12 ................................... 0 .0380 .1184 .0302 .0315 .0576 .0298 .0353 0 .0319 .0195 0 .0434 .0384 .0331 0

13 ................................... 1.0000 1.0340 1.0620 1.0362 1.0773 1.0675 1.1910 1.2148 1.0000 1.2631 1.0699 1.0000 1.1320 1.1805 .0175 0

14 ................................... 0 .0016 .0019 .0015 .0038 .0022 .0091 .0022 0 .0017 .0052 0 .0018 .0080 .0136 0

15 ................................... 0 .0051 .0056 .0019 .0067 .0024 .0018 .0018 0 .0018 .0014 0 .0019 .0019 1.0502 

16 ................................... 0 .0151 .0036 .0124 .0107 .0031 .0020 .0023 0 .0022 .0029 0 .0032 .0046 .0031 0

17 ................................... 0 .0302 .0111 .0102 .0155 .0072 .0053 .0057 0 .0049 .0218 0 .0116 .0268 .0078 0

18 ................................... 0 .0071 .0066 .0043 .0075 .0055 .0037 .0039 0 .0044 .0022 0 .0037 .0039 .0054 0

19 ................................... 0 .0031 .0041 .0026 .0032 .0042 .0026 .0029 0 .0031 .0026 0 .0030 .0031 .0030 0

20 ................................... 0 .0131 .0107 .0112 .0132 .0152 .0121 .0133 0 .0139 .0105 0 .0139 .0129 .0116 0

21 ................................... 0 .0007 .0006 .0006 .0007 .0008 .0006 .0007 0 .0007 .0006 0 .0007 .0007 .0006 0

22 ................................... 0 .0021 .0018 .0021 .0021 .0021 .0018 .0021 0 .0020 .0017 0 .0021 .0018 .0020 0

23 ................................... 0 .0013 .0010 .0011 .0013 .0013 .0010 .0020 0 .0012 .0013 0 .0014 .0025 .0012 0

24 ................................... 0 .0759 .0766 .0573 .0670 .0979 .0589 .0609 0 .1230 .0367 0 .0601 .0522 .0655 0

25 ................................... 0 .0328 .0264 .0302 .0331 .0382 .0276 .0358 0 .0355 .0244 0 .0347 .0306 .0377 0

26 ................................... 0 .0553 .0499 .0480 .0483 .0513 .0360 .0353 0 .0462 .0269 0 .0368 .0358 .0724 0

27 ................................... 0 .0817 .0900 .0817 .0856 .1733 .0825 .0923 0 .1071 .0735 0 .0767 .0859 .0855 0

28 ................................... 0 .0630 .0527 .0550 .0640 .0739 .0591 .0651 0 .0677 .0514 0 .0679 .0629 .0563 0

29 ................................... 0 .0421 .0337 .0387 .0421 .0514 .0351 .0455 0 .0459 .0347 0 .0447 .0390 .0367 0

30 ................................... 0 .0300 .0245 .0256 .0300 .0405 .0268 .0296 0 .0334 .0219 0 .0303 .0278 .0250 0

31 ................................... 0 .1031 .0898 .0922 .1080 .1511 .1025 .1143 0 .1199 .0870 0 .1194 .1120 .0924 0

32 ................................... 0 .0117 .0092 .0099 .0121 .0194 .0115 .0134 0 .0281 .0122 0 .0197 .0180 .0109 0

33 ................................... 0 .0111 .0105 .0107 .0116 .0150 .0119 .0122 0 .0166 .0091 0 .0123 .0118 .0100 0

34 ................................... 0 .0772 .0581 .0620 .0686 .0751 .0503 .0672 0 .0723 .0471 0 .0868 .0695 .0564 0

35 ................................... 0 .0366 .0310 .0319 .0402 .0413 .0344 .0385 0 .0452 .0293 0 .0421 .0385 .0323 0

36 ................................... 0 .0576 .0487 .0515 .0598 .0717 .0564 .0622 0 .0645 .0491 0 .0647 .0599 .0521 0

37 ................................... 0 .0617 .0494 .0487 .0555 .0671 .0491 .0517 0 .0603 .0392 0 .0533 .0499 .0532 0

38 ................................... 0 .5725 .4842 .5125 .5945 .6730 .5535 .6115 0 .6311 .4861 0 .6387 .5908 .5187 0

Total .............................. 1.0000 2.0238 1.9872 1.8676 2.0298 3.3606 2.2107 2.3370 1.0000 2.6237 1.8431 1.0000 2.2266 2.2466 1.9633 

36.0100 36.0200 36.0300 36.0400 36.0500 36.0600 36.0701 36.0702 36.0800 36.0900 36.1000 36.1100 36.1200 36.1300 36.1400 36

1 ................................... 0.0113 0.0144 0 0.0142 0.0161 0.0156 0000.0182 0.0146 0.0156 0.0137 0 0.0116 0

2 ................................... 0 000000000000000

3 ................................... .0020 .0002 0 .0001 .0001 .0001 0 0 0 .0001 .0003 .0002 .0003 0 .0002 

4 ................................... .0007 .0013 0 .0006 .0008 .0004 0 0 0 .0003 .0004 .0003 .0002 0 .0007 

5 ................................... .0165 .0011 0 .0005 .0013 .0015 0 0 0 .0004 .0487 .0194 .0575 0 .0171 

6 ................................... .0440 .0349 0 .0247 .0382 .0262 0 0 0 .0302 .0332 .0298 .0281 0 .0301 

7 ................................... .0233 .0290 0 .0265 .0322 .0316 0 0 0 .0364 .0294 .0321 .0273 0 .0219 

8 ................................... .0001 .0001 0 .0001 .0001 .0001 0 0 0 .0001 .0001 .0001 .0001 0 .0001 

9 ................................... .0056 .0072 0 .0065 .0080 .0080 0 0 0 .0090 .0073 .0078 .0068 0 .0054 

10 ................................... .0209 .0057 0 .0064 .0051 .0205 0 0 0 .0095 .0077 .0104 .0076 0 .0130 

11 ................................... .0185 .0150 0 .0151 .0165 .0185 0 0 0 .0195 .0320 .0403 .0279 0 .0190 

12 ................................... .0394 .0235 0 .0175 .0238 .0181 0 0 0 .0256 .0213 .0277 .0339 0 .0207 

13 ................................... .0085 .0066 0 .0060 .0074 .0079 0 0 0 .0089 .0076 .0097 .0073 0 .0097 

14 ................................... .0025 .0025 0 .0044 .0024 .0019 0 0 0 .0019 .0020 .0035 .0018 0 .0015 

15 ................................... 1.0359 1.0046 1.0000 1.0104 1.0256 1.0665 1.0000 1.0000 1.0000 1.0063 1.1176 1.0915 1.1648 1.0000 1.0849 

16 ................................... .0034 .0027 0 .0019 .0025 .0112 0 0 0 .0073 .0080 .0369 .0026 0 .0028 

17 ................................... .0127 .0081 0 .0046 .0058 .0621 0 0 0 .0331 .0079 .0196 .0072 0 .0062 

18 ................................... .0037 .0050 0 .0032 .0038 .0043 0 0 0 .0046 .0037 .0044 .0033 0 .0033 

19 ................................... .0029 .0029 0 .0026 .0032 .0033 0 0 0 .0035 .0031 .0034 .0028 0 .0032 

20 ................................... .0101 .0126 0 .0124 .0145 .0138 0 0 0 .0170 .0127 .0138 .0118 0 .0098 

21 ................................... .0006 .0007 0 .0006 .0007 .0007 0 0 0 .0008 .0007 .0007 .0006 0 .0006 

22 ................................... .0014 .0016 0 .0015 .0017 .0020 0 0 0 .0021 .0021 .0020 .0016 0 .0013 

23 ................................... .0011 .0010 0 .0009 .0010 .0012 0 0 0 .0012 .0013 .0018 .0012 0 .0009 

24 ................................... .1127 .0952 0 .2454 .1335 .1213 0 0 0 .1659 .1224 .0865 .1444 0 .2242 

25 ................................... .0279 .0358 0 .0336 .0385 .0381 0 0 0 .0489 .0426 .0476 .0369 0 .0278 

26 ................................... .1496 .1250 0 .0684 .0921 .0567 0 0 0 .0764 .0601 .0487 .0492 0 .0809 

27 ................................... .0664 .0437 0 .0401 .0503 .0732 0 0 0 .0564 .0649 .0706 .0725 0 .0613 

28 ................................... .0501 .0628 0 .0623 .0716 .0685 0 0 0 .0796 .0634 .0682 .0595 0 .0501 

29 ................................... .0445 .0368 0 .0351 .0394 .0376 0 0 0 .0422 .0518 .0517 .0383 0 .0308 

30 ................................... .0249 .0267 0 .0277 .0315 .0280 0 0 0 .0349 .0300 .0315 .0275 0 .0221 

31 ................................... .0807 .0967 0 .0922 .1098 .1084 0 0 0 .1285 .1023 .1130 .0966 0 .0765 

32 ................................... .0090 .0101 0 .0095 .0113 .0114 0 0 0 .0128 .0118 .0130 .0111 0 .0089 

33 ................................... .0097 .0115 0 .0102 .0145 .0114 0 0 0 .0134 .0134 .0127 .0109 0 .0083 

34 ................................... .0559 .0535 0 .0483 .0558 .0530 0 0 0 .0559 .0707 .0828 .0616 0 .0475 

35 ................................... .0276 .0360 0 .0325 .0382 .0366 0 0 0 .0422 .0363 .0399 .0329 0 .0264 

36 ................................... .0445 .0568 0 .0519 .0642 .0631 0 0 0 .0724 .0568 .0624 .0529 0 .0428 

37 ................................... .0604 .0582 0 .0678 .0780 .0546 0 0 0 .0611 .0582 .0623 .0549 0 .0484 

38 ................................... .4424 .5646 0 .5165 .6383 .6278 0 0 0 .7200 .5646 .6209 .5266 0 .4254 

Total .............................. 2.0291 1.9292 1.0000 1.9858 2.0394 2.0773 1.0000 1.0000 1.0000 2.1264 2.1464 2.1619 2.1576 1.0000 2.0198 2

NOTE.—The column industries are identified in appendix B, and the row industries are identified in appendix C.

Each entry measures the change in output in each row industry that results from a $1

change in output delivered to final demand by the column industry. Each column total is the

sum of the entries in rows 1-37; these entries include earnings paid to households em

in industries 1-37. Each column total excludes the entry in row 38; this entry is the s

earnings paid to households. Column entries may not sum to totals due to rounding.
46 REGIONAL MULTIPLIERS

Table 1.1—Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area—Continued

[Dollars]

36.1600 36.1700 36.1900 36.2000 36.2100 36.2200 37.0101 37.0102 37.0103 37.0104 37.0105 37.0200 37.0300 37.0401 37.0402 38

1 ................................... 0.0106 0 0.0133 0.0142 0 0.0135 0.0118 0 0.0130 0.0107 0 0.0167 0.0144 0.0155 0 0

2 ................................... 0 000000000000000 3 ................................... .0001 0 .0001 .0002 0 .0001 .0010 0 .0003 .0003 0 .0002 .0002 .0003 0 0

4 ................................... .0003 0 .0004 .0009 0 .0005 .0007 0 .0004 .0005 0 .0004 .0007 .0006 0 0

5 ................................... .0013 0 .0162 .0046 0 .0071 .0024 0 .0009 .0009 0 .0025 .0006 .0006 0 0

6 ................................... .0188 0 .0255 .0273 0 .0263 .0493 0 .0348 .0302 0 .0438 .0314 .0292 0 0

7 ................................... .0219 0 .0244 .0290 0 .0277 .0241 0 .0269 .0220 0 .0348 .0300 .0323 0 0

8 ................................... .0009 0 .0001 .0002 0 .0001 .0001 0 .0001 .0001 0 .0001 .0001 .0001 0 0

9 ................................... .0053 0 .0060 .0064 0 .0067 .0060 0 .0065 .0054 0 .0088 .0075 .0078 0 0

10 ................................... .0245 0 .0121 .0218 0 .0129 .0062 0 .0081 .0072 0 .0065 .0094 .0069 0 0

11 ................................... .0223 0 .0186 .0224 0 .0195 .0362 0 .0200 .0212 0 .0338 .0288 .0186 0 0

12 ................................... .0453 0 .0133 .0440 0 .0198 .0195 0 .0309 .0232 0 .0164 .0161 .0678 0 0

13 ................................... .0126 0 .0064 .0233 0 .0088 .0082 0 .0093 .0084 0 .0125 .0153 .0079 0 0

14 ................................... .0012 0 .0014 .0018 0 .0018 .0029 0 .0022 .0024 0 .0027 .0020 .0017 0 0

15 ................................... 1.0111 1.0000 1.0221 1.0372 1.0000 1.0596 .0057 0 .0030 .0027 0 .0055 .0027 .0022 0 0

16 ................................... .0018 0 .0044 .0081 0 .0031 1.0706 1.0000 1.2319 1.2957 1.0000 1.0231 1.1932 1.0218 1.0000 

17 ................................... .0036 0 .0042 .0078 0 .0114 .0172 0 .0123 .0300 0 .0148 .0250 .0075 0 0

18 ................................... .0038 0 .0035 .0043 0 .0035 .0101 0 .0451 .0221 0 .0131 .0133 .0064 0 0

19 ................................... .0021 0 .0025 .0026 0 .0027 .0035 0 .0037 .0045 0 .0037 .0035 .0028 0 0

20 ................................... .0091 0 .0109 .0108 0 .0121 .0105 0 .0118 .0097 0 .0151 .0130 .0133 0 0

21 ................................... .0005 0 .0006 .0006 0 .0006 .0006 0 .0006 .0005 0 .0008 .0007 .0007 0 0

22 ................................... .0014 0 .0014 .0017 0 .0015 .0016 0 .0017 .0015 0 .0022 .0019 .0020 0 0

23 ................................... .0009 0 .0009 .0010 0 .0011 .0013 0 .0010 .0009 0 .0014 .0012 .0011 0 0

24 ................................... .0593 0 .2702 .0771 0 .0989 .0791 0 .0676 .0719 0 .0622 .0642 .0524 0 0

25 ................................... .0309 0 .0314 .0314 0 .0360 .0331 0 .0284 .0269 0 .0392 .0333 .0293 0 0

26 ................................... .0379 0 .0700 .1098 0 .0708 .0988 0 .0626 .0701 0 .0854 .0880 .0834 0 0

27 ................................... .0600 0 .0400 .0765 0 .0751 .1107 0 .1198 .1341 0 .0837 .1010 .0631 0 0

28 ................................... .0446 0 .0569 .0528 0 .0588 .0519 0 .0566 .0464 0 .0735 .0636 .0656 0 0

29 ................................... .0313 0 .0364 .0365 0 .0368 .0342 0 .0346 .0335 0 .0428 .0382 .0392 0 0

30 ................................... .0212 0 .0252 .0249 0 .0272 .0247 0 .0253 .0229 0 .0324 .0269 .0267 0 0

31 ................................... .0761 0 .0887 .0876 0 .1015 .0835 0 .0926 .0752 0 .1168 .1016 .1098 0 0

32 ................................... .0086 0 .0094 .0099 0 .0103 .0104 0 .0101 .0089 0 .0133 .0116 .0111 0 0

33 ................................... .0083 0 .0089 .0096 0 .0100 .0098 0 .0100 .0086 0 .0138 .0119 .0114 0 0

34 ................................... .0518 0 .0554 .0602 0 .0570 .0718 0 .0606 .0599 0 .0981 .0666 .0631 0 0

35 ................................... .0266 0 .0299 .0312 0 .0340 .0295 0 .0314 .0267 0 .0407 .0360 .0362 0 0

36 ................................... .0415 0 .0479 .0486 0 .0539 .0471 0 .0522 .0423 0 .0688 .0594 .0616 0 0

37 ................................... .0399 0 .0536 .0511 0 .0560 .0550 0 .0501 .0443 0 .0620 .0551 .0547 0 0

38 ................................... .4124 0 .4769 .4833 0 .5361 .4687 0 .5192 .4207 0 .6843 .5906 .6124 0 0

Total .............................. 1.7373 1.0000 2.0120 1.9772 1.0000 1.9666 2.0291 1.0000 2.1661 2.1717 1.0000 2.0917 2.1685 1.9544 1.0000 

38.0400 38.0501 38.0600 38.0700 38.0800 38.0900 38.1000 38.1100 38.1200 38.1300 38.1400 39.0100 39.0200 40.0100 40.0200 40

1 ................................... 0.0096 0 0.0100 0 0.0091 0 0.0104 0.0154 0.0144 0.0152 0 0.0105 0.0141 0.0140 0.0104 0

2 ................................... 0 000000000000000

3 ................................... .0005 0 .0001 0 .0001 0 .0001 .0001 .0001 .0001 0 .0002 .0002 .0001 .0001 

4 ................................... .0004 0 .0007 0 .0004 0 .0002 .0007 .0003 .0004 0 .0003 .0005 .0005 .0002 

5 ................................... .0007 0 .0004 0 .0003 0 .0004 .0009 .0016 .0007 0 .0005 .0007 .0016 .0004 

6 ................................... .0399 0 .0186 0 .0188 0 .0196 .0307 .0300 .0296 0 .0224 .0304 .0284 .0215 

7 ................................... .0192 0 .0192 0 .0181 0 .0210 .0319 .0301 .0320 0 .0215 .0290 .0291 .0218 

8 ................................... .0001 0 .0001 0 .0001 0 .0002 .0001 .0001 .0001 0 .0001 .0001 .0001 .0001 

9 ................................... .0047 0 .0047 0 .0045 0 .0052 .0079 .0076 .0080 0 .0053 .0072 .0072 .0053 

10 ................................... .0037 0 .0065 0 .0049 0 .0091 .0106 .0124 .0153 0 .0079 .0095 .0298 .0203 

11 ................................... .0109 0 .0138 0 .0127 0 .0239 .0273 .0285 .0313 0 .0478 .0310 .0218 .0207 

12 ................................... .0162 0 .0202 0 .0109 0 .0495 .0145 .0194 .0209 0 .0305 .0368 .0356 .0289 

13 ................................... .0099 0 .0298 0 .0117 0 .0349 .0089 .0092 .0104 0 .0087 .0099 .0124 .0321 

14 ................................... .0015 0 .0014 0 .0013 0 .0103 .0017 .0016 .0018 0 .0021 .0022 .0020 .0016 

15 ................................... .0024 0 .0016 0 .0014 0 .0054 .0050 .0037 .0149 0 .0020 .0032 .0033 .0027 

16 ................................... 1.0658 1.0000 1.0220 1.0000 1.1553 1.0000 1.0519 1.0778 1.0367 1.0484 1.0000 .2879 .2537 .1006 .0397 

17 ................................... .0049 0 .0052 0 .0088 0 .0234 .0055 .0051 .0268 0 1.0294 1.0631 1.0469 1.0907 

18 ................................... .0048 0 .0168 0 .0113 0 .0116 .0136 .0104 .0227 0 .0061 .0123 .0119 .0115 

19 ................................... .0026 0 .0022 0 .0020 0 .0034 .0031 .0028 .0033 0 .0027 .0038 .0032 .0026 

20 ................................... .0083 0 .0087 0 .0082 0 .0091 .0139 .0130 .0140 0 .0094 .0128 .0124 .0091 

21 ................................... .0005 0 .0004 0 .0004 0 .0005 .0007 .0007 .0007 0 .0005 .0007 .0007 .0005 

22 ................................... .0012 0 .0014 0 .0011 0 .0015 .0020 .0020 .0023 0 .0014 .0017 .0017 .0016 

23 ................................... .0007 0 .0008 0 .0007 0 .0010 .0013 .0012 .0013 0 .0011 .0013 .0012 .0009 

24 ................................... .0888 0 .1345 0 .0834 0 .0569 .0564 .0540 .0573 0 .0674 .0824 .0579 .0403 

25 ................................... .0178 0 .0224 0 .0194 0 .0254 .0374 .0336 .0353 0 .0266 .0353 .0289 .0238 

26 ................................... .2524 0 .0673 0 .0507 0 .0397 .0811 .0618 .0590 0 .0481 .0669 .0641 .0328 

27 ................................... .0432 0 .1764 0 .1098 0 .0978 .0642 .0611 .0930 0 .1171 .1415 .0838 .0639 

28 ................................... .0418 0 .0423 0 .0401 0 .0436 .0677 .0633 .0677 0 .0457 .0618 .0598 .0443 

29 ................................... .0349 0 .0320 0 .0251 0 .0323 .0473 .0379 .0504 0 .0305 .0412 .0407 .0326 

30 ................................... .0205 0 .0234 0 .0190 0 .0209 .0315 .0367 .0311 0 .0217 .0307 .0279 .0216 

31 ................................... .0655 0 .0682 0 .0630 0 .0746 .1148 .1097 .1154 0 .0774 .1025 .0983 .0811 

32 ................................... .0073 0 .0077 0 .0075 0 .0085 .0123 .0128 .0150 0 .0095 .0125 .0105 .0081 

33 ................................... .0073 0 .0087 0 .0071 0 .0082 .0233 .0116 .0123 0 .0082 .0119 .0115 .0085 

34 ................................... .0473 0 .0585 0 .0415 0 .0540 .0730 .0670 .0732 0 .0524 .0700 .0608 .0524 

35 ................................... .0226 0 .0251 0 .0222 0 .0262 .0393 .0374 .0393 0 .0262 .0373 .0360 .0286 

36 ................................... .0375 0 .0363 0 .0355 0 .0402 .0627 .0591 .0620 0 .0419 .0563 .0562 .0412 

37 ................................... .0641 0 .0436 0 .0421 0 .0391 .0643 .0611 .0700 0 .0434 .0644 .0517 .0381 

38 ................................... .3727 0 .3613 0 .3533 0 .4000 .6234 .5881 .6167 0 .4168 .5598 .5590 .4094 

Total .............................. 1.9590 1.0000 1.9308 1.0000 1.8484 1.0000 1.8598 2.0489 1.9379 2.0811 1.0000 2.1144 2.3393 2.0527 1.8402 

NOTE.—The column industries are identified in appendix B, and the row industries are identified in appendix C.

Each entry measures the change in output in each row industry that results from a $1

change in output delivered to final demand by the column industry. Each column total is the

sum of the entries in rows 1-37; these entries include earnings paid to households em

in industries 1-37. Each column total excludes the entry in row 38; this entry is the s

earnings paid to households. Column entries may not sum to totals due to rounding.
REGIONAL MULTIPLIERS 

Table 1.1—Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area—Continued

[Dollars]

40.0400 40.0500 40.0600 40.0700 40.0800 40.0901 40.0902 41.0100 41.0201 41.0202 41.0203 42.0100 42.0201 42.0202 42.0300 42

1 ................................... 0.0144 0.0135 0.0161 0.0143 0.0144 0.0124 0.0128 0.0158 0.0158 0 0.0148 0.0126 0.0148 0.0148 0.0146 0

2 ................................... 0 000000000000000 3 ................................... .0002 .0001 .0002 .0002 .0002 .0002 .0003 .0001 .0002 0 .0002 .0001 .0001 .0002 .0001 

4 ................................... .0003 .0003 .0003 .0003 .0002 .0003 .0003 .0003 .0003 0 .0003 .0002 .0003 .0003 .0002 

5 ................................... .0007 .0005 .0007 .0006 .0006 .0007 .0007 .0005 .0007 0 .0008 .0004 .0004 .0005 .0007 

6 ................................... .0352 .0342 .0397 .0355 .0396 .0319 .0295 .0271 .0319 0 .0472 .0227 .0260 .0283 .0583 

7 ................................... .0296 .0280 .0333 .0294 .0299 .0255 .0265 .0331 .0327 0 .0304 .0265 .0307 .0307 .0300 

8 ................................... .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0002 0 .0001 .0001 .0001 .0001 .0001 

9 ................................... .0073 .0069 .0082 .0072 .0074 .0063 .0066 .0082 .0106 0 .0075 .0066 .0076 .0076 .0074 

10 ................................... .0067 .0127 .0085 .0120 .0243 .0061 .0092 .0097 .0093 0 .0136 .0257 .0164 .0143 .0153 

11 ................................... .0206 .0299 .0224 .0215 .0192 .0192 .0221 .0332 .0236 0 .0206 .0397 .0351 .0249 .0227 

12 ................................... .0209 .0157 .0200 .0250 .0238 .0236 .0190 .0166 .0198 0 .0304 .0202 .0176 .0186 .0253 

13 ................................... .0145 .0151 .0137 .0172 .0357 .0087 .0081 .0095 .0114 0 .0106 .0197 .0152 .0410 .0204 

14 ................................... .0021 .0025 .0023 .0026 .0023 .0058 .0025 .0020 .0024 0 .0028 .0053 .0098 .0093 .0057 

15 ................................... .0030 .0192 .0036 .0057 .0051 .0086 .0043 .0029 .0029 0 .0067 .0035 .0037 .0039 .0058 

16 ................................... .1999 .1376 .1436 .1823 .1528 .2180 .2831 .1282 .2328 0 .1649 .0604 .0952 .1295 .0838 

17 ................................... 1.1058 1.0520 1.0803 1.0668 1.0405 1.0556 1.0456 1.0382 1.0175 1.0000 1.0281 1.0344 1.0322 1.0212 1.0679 

18 ................................... .0077 .0082 .0138 .0090 .0217 .0081 .0072 .0203 .0347 0 .0135 .0083 .0093 .0112 .0092 

19 ................................... .0040 .0034 .0045 .0052 .0035 .0034 .0036 .0035 .0045 0 .0055 .0028 .0032 .0034 .0124 

20 ................................... .0130 .0122 .0146 .0138 .0128 .0110 .0116 .0145 .0148 0 .0138 .0112 .0131 .0132 .0129 

21 ................................... .0007 .0006 .0008 .0007 .0007 .0006 .0006 .0007 .0008 0 .0007 .0006 .0007 .0007 .0007 

22 ................................... .0018 .0020 .0021 .0019 .0019 .0016 .0017 .0021 .0020 0 .0019 .0017 .0019 .0018 .0019 

23 ................................... .0011 .0013 .0014 .0011 .0011 .0010 .0011 .0014 .0013 0 .0011 .0027 .0014 .0012 .0014 

24 ................................... .0804 .0586 .0731 .0618 .0603 .0641 .0733 .0550 .0673 0 .0642 .0434 .0508 .0523 .0530 

25 ................................... .0307 .0336 .0332 .0297 .0291 .0276 .0293 .0371 .0322 0 .0327 .0354 .0377 .0351 .0346 

26 ................................... .0458 .0407 .0493 .0450 .0431 .0416 .0512 .0587 .0548 0 .0502 .0394 .0459 .0541 .0432 

27 ................................... .1137 .0975 .1207 .1111 .0912 .1135 .1335 .0857 .1170 0 .0991 .0651 .1079 .1095 .1011 

28 ................................... .0637 .0595 .0714 .0624 .0633 .0543 .0565 .0691 .0693 0 .0648 .0546 .0643 .0644 .0639 

29 ................................... .0387 .0382 .0439 .0399 .0379 .0347 .0394 .0516 .0448 0 .0384 .0338 .0390 .0385 .0394 

30 ................................... .0280 .0274 .0318 .0284 .0273 .0242 .0268 .0317 .0304 0 .0288 .0236 .0284 .0280 .0277 

31 ................................... .1056 .1005 .1140 .1041 .1052 .0893 .0929 .1153 .1128 0 .1061 .0925 .1066 .1044 .1014 

32 ................................... .0132 .0153 .0173 .0149 .0129 .0125 .0136 .0128 .0124 0 .0114 .0108 .0126 .0115 .0114 

33 ................................... .0108 .0101 .0120 .0108 .0109 .0094 .0104 .0129 .0120 0 .0135 .0098 .0114 .0117 .0128 

34 ................................... .0598 .0657 .0771 .0615 .0588 .0556 .0596 .0749 .1137 0 .0657 .0604 .0665 .0613 .0677 

35 ................................... .0355 .0359 .0414 .0368 .0365 .0310 .0317 .0401 .0387 0 .0368 .0323 .0375 .0374 .0364 

36 ................................... .0585 .0544 .0654 .0574 .0585 .0500 .0520 .0653 .0650 0 .0597 .0515 .0606 .0608 .0589 

37 ................................... .0553 .0543 .0640 .0557 .0544 .0514 .0512 .0641 .0582 0 .0589 .0493 .0541 .0548 .0516 

38 ................................... .5818 .5415 .6506 .5713 .5821 .4973 .5172 .6493 .6469 0 .5939 .5127 .6030 .6048 .5862 

Total .............................. 2.2295 2.0878 2.2446 2.1719 2.1271 2.1078 2.2176 2.1424 2.2988 1.0000 2.1457 1.9073 2.0584 2.1004 2.0999 2

42.0402 42.0500 42.0700 42.0800 42.1000 42.1100 43.0100 43.0200 44.0001 44.0002 45.0100 45.0200 45.0300 46.0100 46.0200 46

1 ................................... 0.0146 0.0144 0.0152 0.0148 0 0.0142 0 0.0122 0.0135 0.0103 0.0136 0.0149 0 0.0157 0.0162 0

2 ................................... 0 000000000000000

3 ................................... .0003 .0002 .0002 .0001 0 .0001 0 .0001 .0001 .0001 .0001 .0001 0 .0001 .0001 0

4 ................................... .0005 .0003 .0004 .0002 0 .0002 0 .0002 .0002 .0002 .0003 .0002 0 .0002 .0002 0

5 ................................... .0009 .0006 .0006 .0005 0 .0005 0 .0004 .0004 .0004 .0005 .0005 0 .0005 .0005 0

6 ................................... .0292 .0290 .0304 .0259 0 .0287 0 .0243 .0273 .0221 .0293 .0320 0 .0326 .0318 0

7 ................................... .0300 .0301 .0316 .0309 0 .0293 0 .0255 .0279 .0213 .0282 .0309 0 .0332 .0339 0

8 ................................... .0001 .0002 .0001 .0001 0 .0001 0 .0001 .0001 .0001 .0001 .0001 0 .0002 .0001 0

9 ................................... .0072 .0075 .0079 .0081 0 .0073 0 .0065 .0069 .0053 .0070 .0077 0 .0082 .0083 0

10 ................................... .0087 .0163 .0078 .0092 0 .0095 0 .0078 .0073 .0183 .0065 .0063 0 .0095 .0080 0

11 ................................... .0375 .0211 .0243 .0316 0 .0251 0 .0186 .0310 .0280 .0251 .0319 0 .0623 .0379 0

12 ................................... .0832 .0199 .0153 .0178 0 .0185 0 .0119 .0162 .0159 .0148 .0162 0 .0177 .0171 0

13 ................................... .0275 .0602 .0117 .0187 0 .0124 0 .0186 .0221 .0404 .0188 .0122 0 .0158 .0256 0

14 ................................... .0018 .0023 .0020 .0022 0 .0057 0 .0016 .0025 .0016 .0020 .0023 0 .0023 .0024 0

15 ................................... .0031 .0027 .0026 .0024 0 .0035 0 .0026 .0023 .0020 .0026 .0038 0 .0028 .0029 0

16 ................................... .1262 .1451 .1822 .0966 0 .1183 0 .1405 .0913 .0701 .0940 .0865 0 .0909 .0728 0

17 ................................... 1.0659 1.0289 1.0199 1.0430 1.0000 1.0493 0 .0281 .0181 .0499 .0913 .0994 0 .0668 .0976 0

18 ................................... .0084 .0086 .0084 .0106 0 .0095 1.0000 1.0292 1.0554 1.0485 1.0602 1.0288 1.0000 1.0241 1.0642 

19 ................................... .0035 .0034 .0035 .0044 0 .0035 0 .0139 .0062 .0115 .0044 .0046 0 .0423 .0119 0

20 ................................... .0125 .0131 .0148 .0135 0 .0129 0 .0162 .0164 .0134 .0146 .0137 0 .0153 .0148 0

21 ................................... .0007 .0007 .0007 .0007 0 .0007 0 .0007 .0009 .0006 .0007 .0008 0 .0008 .0008 0

22 ................................... .0020 .0019 .0018 .0021 0 .0019 0 .0016 .0018 .0015 .0019 .0020 0 .0024 .0023 0

23 ................................... .0014 .0012 .0012 .0014 0 .0012 0 .0010 .0012 .0011 .0014 .0022 0 .0015 .0015 0

24 ................................... .0705 .0578 .0633 .0545 0 .0643 0 .0427 .0575 .0535 .0575 .0561 0 .0617 .0545 0

25 ................................... .0363 .0303 .0338 .0370 0 .0313 0 .0266 .0339 .0288 .0320 .0375 0 .0409 .0414 0

26 ................................... .0636 .0478 .0599 .0450 0 .0452 0 .0400 .0400 .0304 .0431 .0409 0 .0405 .0434 0

27 ................................... .1006 .1021 .1197 .0950 0 .1083 0 .0963 .1139 .1263 .1096 .0872 0 .1086 .1091 0

28 ................................... .0611 .0635 .0670 .0652 0 .0620 0 .0539 .0586 .0446 .0597 .0651 0 .0701 .0707 0

29 ................................... .0404 .0411 .0441 .0499 0 .0416 0 .0347 .0359 .0294 .0390 .0411 0 .0434 .0462 0

30 ................................... .0284 .0279 .0299 .0302 0 .0274 0 .0242 .0262 .0206 .0280 .0290 0 .0318 .0322 0

31 ................................... .1045 .1049 .1077 .1066 0 .1019 0 .0875 .0957 .0740 .0966 .1052 0 .1134 .1172 0

32 ................................... .0123 .0114 .0122 .0126 0 .0116 0 .0096 .0117 .0093 .0119 .0130 0 .0133 .0142 0

33 ................................... .0113 .0108 .0117 .0112 0 .0106 0 .0109 .0105 .0086 .0118 .0120 0 .0138 .0131 0

34 ................................... .0684 .0602 .0612 .0853 0 .0617 0 .0539 .0706 .0596 .0665 .0714 0 .0816 .0770 0

35 ................................... .0359 .0365 .0378 .0376 0 .0365 0 .0305 .0343 .0270 .0352 .0386 0 .0405 .0420 0

36 ................................... .0565 .0594 .0629 .0608 0 .0575 0 .0506 .0549 .0413 .0555 .0607 0 .0645 .0665 0

37 ................................... .0575 .0549 .0622 .0586 0 .0539 0 .0452 .0477 .0374 .0498 .0519 0 .0612 .0556 0

38 ................................... .5623 .5909 .6255 .6050 0 .5720 0 .5035 .5465 .4111 .5522 .6038 0 .6416 .6614 0

Total .............................. 2.2123 2.1161 2.1558 2.0844 1.0000 2.0663 1.0000 1.9685 2.0408 1.9536 2.1132 2.1065 1.0000 2.2304 2.2341 

NOTE.—The column industries are identified in appendix B, and the row industries are identified in appendix C.

Each entry measures the change in output in each row industry that results from a $1

change in output delivered to final demand by the column industry. Each column total is the

sum of the entries in rows 1-37; these entries include earnings paid to households em

in industries 1-37. Each column total excludes the entry in row 38; this entry is the s

earnings paid to households. Column entries may not sum to totals due to rounding.
48 REGIONAL MULTIPLIERS

Table 1.1—Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area—Continued

[Dollars]

46.0400 47.0100 47.0200 47.0300 47.0401 47.0402 47.0404 47.0405 47.0500 48.0100 48.0200 48.0300 48.0400 48.0500 48.0600 49

1 ................................... 0.0134 0 0.0171 0.0185 0.0129 0 0.0163 0.0206 0 0.0150 0 0.0142 0.0152 0.0144 0.0158 0

2 ................................... 0 000000000000000 3 ................................... .0001 0 .0001 .0001 .0001 0 .0001 .0001 0 .0001 0 .0001 .0001 .0001 .0001 

4 ................................... .0002 0 .0003 .0002 .0002 0 .0003 .0002 0 .0002 0 .0002 .0002 .0002 .0002 

5 ................................... .0004 0 .0004 .0004 .0003 0 .0006 .0005 0 .0004 0 .0004 .0004 .0004 .0005 

6 ................................... .0313 0 .0283 .0288 .0217 0 .0265 .0322 0 .0280 0 .0257 .0258 .0262 .0279 

7 ................................... .0280 0 .0361 .0387 .0269 0 .0343 .0434 0 .0313 0 .0301 .0322 .0302 .0330 

8 ................................... .0001 0 .0001 .0001 .0001 0 .0001 .0001 0 .0001 0 .0001 .0001 .0001 .0001 

9 ................................... .0069 0 .0089 .0096 .0066 0 .0083 .0107 0 .0077 0 .0074 .0079 .0074 .0082 

10 ................................... .0066 0 .0076 .0105 .0157 0 .0149 .0073 0 .0089 0 .0210 .0063 .0060 .0081 

11 ................................... .0179 0 .0236 .0266 .0295 0 .0370 .0221 0 .0280 0 .0244 .0291 .0230 .0279 

12 ................................... .0136 0 .0184 .0178 .0158 0 .0596 .0187 0 .0153 0 .0133 .0137 .0130 .0182 

13 ................................... .0144 0 .0121 .0137 .0333 0 .0140 .0125 0 .0223 0 .0165 .0215 .0272 .0193 

14 ................................... .0026 0 .0022 .0020 .0017 0 .0025 .0055 0 .0025 0 .0020 .0020 .0017 .0021 

15 ................................... .0025 0 .0040 .0050 .0030 0 .0024 .0029 0 .0029 0 .0024 .0027 .0024 .0043 

16 ................................... .0814 0 .0724 .0548 .0481 0 .0921 .0330 0 .0734 0 .0853 .0495 .0475 .0538 

17 ................................... .0482 0 .0418 .0124 .0697 0 .0221 .0063 0 .0386 0 .0297 .0124 .0247 .0424 

18 ................................... 1.0797 1.0000 1.0355 1.0353 1.0246 1.0000 1.0152 1.0258 1.0000 1.0393 1.0000 1.0315 1.0367 1.0439 1.0332 

19 ................................... .0210 0 .0144 .0042 .0111 0 .0127 .0035 0 .0116 0 .0254 .0103 .0190 .0131 

20 ................................... .0132 0 .0159 .0169 .0120 0 .0146 .0186 0 .0137 0 .0141 .0140 .0131 .0145 

21 ................................... .0007 0 .0009 .0009 .0007 0 .0008 .0010 0 .0008 0 .0009 .0008 .0007 .0008 

22 ................................... .0019 0 .0025 .0024 .0019 0 .0020 .0023 0 .0021 0 .0020 .0022 .0021 .0023 

23 ................................... .0016 0 .0013 .0014 .0012 0 .0015 .0014 0 .0013 0 .0011 .0013 .0011 .0013 

24 ................................... .0491 0 .0548 .0500 .0490 0 .0713 .0476 0 .0519 0 .0482 .0488 .0434 .0529 

25 ................................... .0297 0 .0375 .0372 .0335 0 .0411 .0380 0 .0337 0 .0333 .0365 .0353 .0372 

26 ................................... .0355 0 .0456 .0448 .0351 0 .0456 .0470 0 .0374 0 .0387 .0379 .0335 .0405 

27 ................................... .1337 0 .0987 .0695 .1000 0 .1012 .0614 0 .1039 0 .0979 .0896 .0836 .1126 

28 ................................... .0588 0 .0753 .0815 .0566 0 .0701 .0909 0 .0651 0 .0625 .0667 .0632 .0692 

29 ................................... .0361 0 .0480 .0463 .0393 0 .0538 .0497 0 .0434 0 .0397 .0461 .0403 .0459 

30 ................................... .0253 0 .0343 .0345 .0268 0 .0332 .0372 0 .0290 0 .0273 .0296 .0270 .0306 

31 ................................... .0978 0 .1214 .1351 .0952 0 .1163 .1476 0 .1086 0 .1083 .1104 .1057 .1173 

32 ................................... .0110 0 .0143 .0145 .0121 0 .0178 .0156 0 .0133 0 .0124 .0134 .0120 .0138 

33 ................................... .0108 0 .0142 .0136 .0106 0 .0130 .0150 0 .0116 0 .0109 .0122 .0112 .0124 

34 ................................... .0610 0 .0719 .0693 .0662 0 .0752 .0678 0 .0698 0 .0640 .0701 .0621 .0706 

35 ................................... .0346 0 .0449 .0463 .0343 0 .0406 .0507 0 .0396 0 .0363 .0401 .0368 .0400 

36 ................................... .0550 0 .0705 .0771 .0523 0 .0646 .0870 0 .0612 0 .0589 .0630 .0597 .0651 

37 ................................... .0467 0 .0668 .0658 .0553 0 .0696 .0659 0 .0537 0 .0525 .0544 .0496 .0568 

38 ................................... .5476 0 .7015 .7671 .5199 0 .6425 .8657 0 .6091 0 .5864 .6267 .5943 .6480 

Total .............................. 2.0708 1.0000 2.1421 2.0861 2.0034 1.0000 2.1916 2.0902 1.0000 2.0655 1.0000 2.0387 2.0034 1.9679 2.0922 2

49.0200 49.0300 49.0500 49.0600 49.0700 49.0800 50.0100 50.0200 50.0300 50.0400 51.0102 51.0103 51.0104 51.0400 52.0100 52

1 ................................... 0 0.0141 0.0154 0.0148 0.0146 0.0149 0 0.0170 0.0134 0.0190 0 0.0097 0.0118 0.0142 0.0150 0

2 ................................... 0 000000000000000

3 ................................... 0 .0001 .0001 .0001 .0001 .0001 0 .0001 .0001 .0001 0 0 0 .0001 .0001 

4 ................................... 0 .0002 .0002 .0002 .0002 .0002 0 .0002 .0002 .0002 0 .0001 .0001 .0002 .0002 

5 ................................... 0 .0004 .0004 .0004 .0004 .0003 0 .0004 .0003 .0005 0 .0002 .0003 .0003 .0004 

6 ................................... 0 .0273 .0283 .0270 .0246 .0247 0 .0311 .0207 .0328 0 .0174 .0278 .0236 .0290 

7 ................................... 0 .0293 .0323 .0312 .0305 .0313 0 .0356 .0283 .0398 0 .0202 .0246 .0297 .0313 

8 ................................... 0 .0002 .0001 .0001 .0003 .0002 0 .0002 .0001 .0001 0 .0001 .0001 .0002 .0001 

9 ................................... 0 .0074 .0080 .0077 .0077 .0079 0 .0089 .0069 .0098 0 .0050 .0061 .0073 .0079 

10 ................................... 0 .0083 .0085 .0080 .0117 .0102 0 .0114 .0096 .0087 0 .0066 .0074 .0124 .0140 

11 ................................... 0 .0199 .0203 .0190 .0210 .0221 0 .0332 .0167 .0283 0 .0142 .0160 .0171 .0218 

12 ................................... 0 .0138 .0138 .0135 .0185 .0168 0 .0160 .0393 .0164 0 .0094 .0129 .0262 .0250 

13 ................................... 0 .0116 .0147 .0150 .0324 .0271 0 .0139 .0163 .0114 0 .0179 .0266 .0728 .0398 

14 ................................... 0 .0020 .0020 .0018 .0018 .0020 0 .0021 .0015 .0021 0 .0012 .0017 .0018 .0035 

15 ................................... 0 .0026 .0027 .0027 .0027 .0025 0 .0083 .0019 .0062 0 .0013 .0019 .0020 .0030 

16 ................................... 0 .0887 .0888 .0517 .0630 .0401 0 .0587 .0364 .0783 0 .0066 .0212 .0208 .0514 

17 ................................... 0 .0265 .0090 .0354 .0231 .0197 0 .0374 .0252 .0261 0 .0111 .0131 .0203 .0374 

18 ................................... 1.0000 1.0436 1.0330 1.0519 1.0352 1.0288 1.0000 1.0394 1.0202 1.0550 1.0000 1.0076 1.0091 1.0076 1.0303 

19 ................................... 0 .0189 .0073 .0128 .0119 .0126 0 .0086 .0214 .0040 0 .0258 .0374 .0168 .0277 

20 ................................... 0 .0129 .0144 .0134 .0136 .0137 0 .0155 .0122 .0172 0 .0086 .0106 .0127 .0136 

21 ................................... 0 .0008 .0008 .0007 .0007 .0007 0 .0008 .0006 .0009 0 .0005 .0006 .0007 .0008 

22 ................................... 0 .0023 .0020 .0024 .0024 .0022 0 .0024 .0018 .0024 0 .0018 .0022 .0022 .0019 

23 ................................... 0 .0010 .0011 .0011 .0011 .0012 0 .0015 .0009 .0014 0 .0009 .0010 .0013 .0033 

24 ................................... 0 .0470 .0492 .0434 .0476 .0450 0 .0518 .0473 .0501 0 .0411 .0426 .0414 .0521 

25 ................................... 0 .0311 .0333 .0312 .0315 .0325 0 .0407 .0285 .0392 0 .0222 .0265 .0299 .0331 

26 ................................... 0 .0366 .0451 .0364 .0376 .0356 0 .0444 .0322 .0453 0 .0216 .0269 .0319 .0390 

27 ................................... 0 .0885 .0912 .0777 .0827 .0811 0 .0879 .0680 .0775 0 .1029 .1119 .0942 .0989 

28 ................................... 0 .0614 .0682 .0652 .0641 .0654 0 .0745 .0595 .0836 0 .0418 .0516 .0620 .0653 

29 ................................... 0 .0378 .0404 .0381 .0404 .0410 0 .0513 .0422 .0540 0 .0323 .0347 .0391 .0394 

30 ................................... 0 .0263 .0288 .0274 .0281 .0281 0 .0326 .0271 .0349 0 .0193 .0225 .0258 .0285 

31 ................................... 0 .1093 .1098 .1096 .1059 .1078 0 .1233 .0978 .1410 0 .0771 .0896 .1071 .1068 

32 ................................... 0 .0114 .0126 .0120 .0120 .0124 0 .0145 .0100 .0150 0 .0125 .0128 .0107 .0129 

33 ................................... 0 .0107 .0127 .0109 .0112 .0113 0 .0133 .0101 .0142 0 .0076 .0090 .0104 .0120 

34 ................................... 0 .0590 .0647 .0574 .0639 .0624 0 .0921 .0679 .0929 0 .0488 .0537 .0662 .0660 

35 ................................... 0 .0361 .0385 .0375 .0367 .0378 0 .0443 .0355 .0480 0 .0271 .0313 .0351 .0388 

36 ................................... 0 .0579 .0643 .0617 .0605 .0620 0 .0703 .0549 .0793 0 .0391 .0483 .0589 .0616 

37 ................................... 0 .0499 .0547 .0498 .0522 .0521 0 .0617 .0570 .0647 0 .0375 .0435 .0473 .0514 

38 ................................... 0 .5757 .6402 .6141 .6016 .6164 0 .6989 .5466 .7887 0 .3887 .4805 .5862 .6131 

Total .............................. 1.0000 1.9949 2.0169 1.9691 1.9917 1.9539 1.0000 2.1453 1.9121 2.2006 1.0000 1.6972 1.8372 1.9504 2.0633 

NOTE.—The column industries are identified in appendix B, and the row industries are identified in appendix C.

Each entry measures the change in output in each row industry that results from a $1

change in output delivered to final demand by the column industry. Each column total is the

sum of the entries in rows 1-37; these entries include earnings paid to households em

in industries 1-37. Each column total excludes the entry in row 38; this entry is the s

earnings paid to households. Column entries may not sum to totals due to rounding.
REGIONAL MULTIPLIERS 

Table 1.1—Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area—Continued

[Dollars]

52.0300 52.0400 52.0500 53.0200 53.0300 53.0400 53.0500 53.0700 53.0800 54.0100 54.0200 54.0300 54.0400 54.0500 54.0700 55

1 ................................... 0.0127 0 0.0138 0.0148 0.0136 0.0150 0.0162 0 0.0149 0 0 0 0.0125 0 0.0124 0

2 ................................... 0 000000000000000 3 ................................... .0001 0 .0001 .0001 .0001 .0001 .0001 0 .0001 0 0 0 .0001 0 .0001 

4 ................................... .0002 0 .0002 .0002 .0002 .0002 .0002 0 .0002 0 0 0 .0002 0 .0003 

5 ................................... .0004 0 .0014 .0004 .0004 .0004 .0004 0 .0003 0 0 0 .0004 0 .0005 

6 ................................... .0224 0 .0307 .0274 .0281 .0259 .0324 0 .0258 0 0 0 .0230 0 .0247 

7 ................................... .0265 0 .0286 .0307 .0283 .0313 .0338 0 .0312 0 0 0 .0257 0 .0258 

8 ................................... .0001 0 .0001 .0001 .0001 .0001 .0001 0 .0001 0 0 0 .0003 0 .0001 

9 ................................... .0066 0 .0071 .0075 .0071 .0078 .0084 0 .0079 0 0 0 .0064 0 .0064 

10 ................................... .0126 0 .0126 .0148 .0100 .0155 .0158 0 .0163 0 0 0 .0315 0 .0251 

11 ................................... .0244 0 .0233 .0320 .0391 .0327 .0400 0 .0333 0 0 0 .0309 0 .0286 

12 ................................... .0174 0 .0216 .0337 .0189 .0203 .0204 0 .0173 0 0 0 .0315 0 .0414 

13 ................................... .0248 0 .0216 .0163 .0255 .0257 .0265 0 .0223 0 0 0 .0481 0 .0335 

14 ................................... .0045 0 .0041 .0026 .0024 .0024 .0022 0 .0031 0 0 0 .0162 0 .0101 

15 ................................... .0053 0 .0027 .0043 .0024 .0047 .0025 0 .0020 0 0 0 .0081 0 .0093 

16 ................................... .0656 0 .0689 .1018 .0443 .0909 .0228 0 .0263 0 0 0 .0511 0 .0868 

17 ................................... .0292 0 .0746 .0304 .0273 .0340 .0252 0 .0223 0 0 0 .0330 0 .0535 

18 ................................... 1.0397 1.0000 1.0334 .0232 .0055 .0110 .0069 0 .0043 0 0 0 .0065 0 .0063 

19 ................................... .0283 0 .0155 1.0097 1.0170 1.0150 1.0211 1.0000 1.0145 1.0000 1.0000 1.0000 1.0306 1.0000 1.0176 

20 ................................... .0117 0 .0125 .0133 .0122 .0140 .0145 0 .0135 0 0 0 .0110 0 .0110 

21 ................................... .0007 0 .0007 .0007 .0006 .0008 .0008 0 .0010 0 0 0 .0007 0 .0006 

22 ................................... .0018 0 .0019 .0020 .0021 .0020 .0032 0 .0021 0 0 0 .0018 0 .0017 

23 ................................... .0019 0 .0012 .0013 .0024 .0014 .0017 0 .0013 0 0 0 .0030 0 .0028 

24 ................................... .0473 0 .0553 .0624 .0498 .0563 .0561 0 .0609 0 0 0 .0561 0 .0638 

25 ................................... .0307 0 .0326 .0371 .0387 .0381 .0500 0 .0371 0 0 0 .0318 0 .0313 

26 ................................... .0362 0 .0341 .0439 .0338 .0425 .0387 0 .0365 0 0 0 .0364 0 .0438 

27 ................................... .1174 0 .0990 .1283 .0963 .1031 .1204 0 .0729 0 0 0 .0955 0 .1194 

28 ................................... .0554 0 .0602 .0638 .0594 .0656 .0705 0 .0657 0 0 0 .0531 0 .0530 

29 ................................... .0339 0 .0356 .0484 .0445 .0455 .0559 0 .0460 0 0 0 .0362 0 .0393 

30 ................................... .0245 0 .0261 .0287 .0263 .0289 .0319 0 .0269 0 0 0 .0242 0 .0246 

31 ................................... .0912 0 .1003 .1052 .0995 .1079 .1190 0 .1100 0 0 0 .0889 0 .0882 

32 ................................... .0115 0 .0118 .0159 .0153 .0153 .0181 0 .0148 0 0 0 .0118 0 .0118 

33 ................................... .0099 0 .0107 .0119 .0110 .0119 .0131 0 .0124 0 0 0 .0109 0 .0106 

34 ................................... .0574 0 .0595 .0716 .0695 .0701 .0805 0 .0666 0 0 0 .0617 0 .0630 

35 ................................... .0326 0 .0347 .0385 .0347 .0385 .0425 0 .0366 0 0 0 .0323 0 .0318 

36 ................................... .0522 0 .0563 .0597 .0558 .0617 .0661 0 .0618 0 0 0 .0497 0 .0495 

37 ................................... .0451 0 .0491 .0544 .0494 .0556 .0592 0 .0541 0 0 0 .0476 0 .0494 

38 ................................... .5192 0 .5597 .5938 .5549 .6135 .6579 0 .6153 0 0 0 .4946 0 .4920 

Total .............................. 1.9819 1.0000 2.0416 2.1372 1.9716 2.0922 2.1172 1.0000 1.9623 1.0000 1.0000 1.0000 2.0089 1.0000 2.0779 

55.0200 55.0300 56.0100 56.0200 56.0300 56.0500 57.0100 57.0200 57.0300 58.0100 58.0200 58.0400 58.0600 58.0700 59.0100 59

1 ................................... 0.0133 0.0146 0.0084 0.0097 0.0114 0.0143 0.0157 0.0162 0.0148 0.0124 0.0104 0.0151 0 0.0165 0.0144 0

2 ................................... 0 000000000000000

3 ................................... .0001 .0001 0 0 0 .0001 .0001 .0001 .0001 .0001 .0001 .0001 0 .0001 .0001 

4 ................................... .0002 .0002 .0001 .0002 .0001 .0002 .0002 .0002 .0002 .0002 .0002 .0002 0 .0002 .0003 

5 ................................... .0004 .0004 .0002 .0002 .0002 .0003 .0004 .0005 .0003 .0006 .0004 .0003 0 .0003 .0004 

6 ................................... .0242 .0267 .0134 .0161 .0187 .0216 .0265 .0372 .0249 .0205 .0192 .0239 0 .0300 .0300 

7 ................................... .0277 .0303 .0174 .0200 .0238 .0298 .0328 .0335 .0309 .0258 .0215 .0315 0 .0343 .0299 

8 ................................... .0002 .0001 .0001 .0001 .0002 .0001 .0001 .0001 .0002 .0002 .0001 .0001 0 .0001 .0006 

9 ................................... .0069 .0074 .0043 .0050 .0060 .0077 .0082 .0084 .0078 .0063 .0053 .0078 0 .0083 .0099 

10 ................................... .0248 .0170 .0177 .0089 .0090 .0083 .0092 .0070 .0107 .0119 .0226 .0108 0 .0118 .0086 

11 ................................... .0217 .0266 .0167 .0671 .0210 .0300 .0198 .0253 .0204 .0267 .0407 .0413 0 .0269 .0554 

12 ................................... .0276 .0339 .0120 .0237 .0229 .0147 .0170 .0255 .0295 .0322 .0208 .0166 0 .0186 .0275 

13 ................................... .0384 .0253 .0334 .0615 .0685 .0143 .0184 .0181 .0881 .0635 .0283 .0215 0 .0167 .0134 

14 ................................... .0039 .0019 .0042 .0012 .0015 .0017 .0029 .0021 .0019 .0015 .0018 .0019 0 .0020 .0032 

15 ................................... .0151 .0033 .0015 .0014 .0019 .0018 .0508 .0033 .0024 .0018 .0017 .0021 0 .0023 .0091 

16 ................................... .0635 .0773 .0078 .0016 .0088 .0150 .0119 .0167 .0162 .0446 .0209 .0472 0 .0184 .0729 

17 ................................... .0449 .0422 .0191 .0038 .0178 .0200 .0464 .0296 .0398 .0089 .0686 .0289 0 .0265 .0781 

18 ................................... .0052 .0081 .0034 .0027 .0035 .0048 .0053 .0070 .0053 .0041 .0057 .0075 0 .0070 .0285 

19 ................................... 1.0309 1.0091 1.0386 1.0089 1.0739 1.0664 1.0164 1.0153 1.0233 1.0520 1.0194 1.0323 1.0000 1.0397 .0099 

20 ................................... .0120 .0130 .0076 .0086 .0101 .0128 .0142 .0140 .0132 .0111 .0093 .0161 0 .0142 1.0556 

21 ................................... .0006 .0007 .0004 .0004 .0005 .0007 .0007 .0007 .0007 .0006 .0005 .0007 0 .0008 .0030 

22 ................................... .0019 .0019 .0019 .0015 .0021 .0045 .0044 .0035 .0037 .0016 .0015 .0021 0 .0031 .0022 

23 ................................... .0028 .0012 .0011 .0011 .0010 .0013 .0012 .0013 .0012 .0011 .0013 .0015 0 .0013 .0018 

24 ................................... .0539 .0623 .0335 .0455 .0399 .0417 .0509 .0497 .0475 .0569 .0539 .0655 0 .0451 .0575 

25 ................................... .0316 .0342 .0210 .0288 .0280 .0363 .0330 .0354 .0311 .0301 .0336 .0417 0 .0361 .0464 

26 ................................... .0357 .0437 .0199 .0275 .0264 .0311 .0484 .0472 .0386 .0463 .0294 .0376 0 .0359 .0410 

27 ................................... .0998 .1068 .1195 .0788 .0812 .0745 .0918 .0874 .0863 .1078 .0854 .1299 0 .0826 .0996 

28 ................................... .0581 .0631 .0362 .0417 .0495 .0622 .0689 .0692 .0645 .0541 .0449 .0658 0 .0694 .0627 

29 ................................... .0400 .0478 .0234 .0256 .0317 .0400 .0509 .0556 .0398 .0400 .0444 .0525 0 .0424 .0400 

30 ................................... .0254 .0284 .0164 .0192 .0217 .0277 .0297 .0306 .0276 .0247 .0219 .0307 0 .0294 .0297 

31 ................................... .0988 .1049 .0639 .0758 .0869 .1076 .1117 .1185 .1084 .0881 .0755 .1108 0 .1219 .1036 

32 ................................... .0128 .0151 .0075 .0091 .0097 .0119 .0144 .0154 .0127 .0133 .0114 .0206 0 .0136 .0135 

33 ................................... .0105 .0121 .0332 .0081 .0087 .0108 .0121 .0126 .0111 .0098 .0096 .0126 0 .0118 .0123 

34 ................................... .0572 .0712 .0499 .0550 .0574 .0669 .0639 .0829 .0573 .0569 .0667 .0790 0 .0859 .0842 

35 ................................... .0333 .0387 .0223 .0249 .0287 .0362 .0395 .0415 .0366 .0311 .0279 .0405 0 .0479 .0384 

36 ................................... .0546 .0589 .0339 .0393 .0469 .0591 .0650 .0654 .0610 .0500 .0412 .0614 0 .0657 .0576 

37 ................................... .0482 .0552 .0330 .0366 .0398 .0486 .0583 .0584 .0516 .0525 .0442 .0602 0 .0587 .0571 

38 ................................... .5437 .5857 .3375 .3908 .4661 .5884 .6466 .6503 .6071 .4974 .4102 .6110 0 .6535 .5726 

Total .............................. 2.0262 2.0838 1.7231 1.7597 1.8595 1.9250 2.0413 2.0356 2.0098 1.9894 1.8904 2.1186 1.0000 2.0256 2.1978 

NOTE.—The column industries are identified in appendix B, and the row industries are identified in appendix C.

Each entry measures the change in output in each row industry that results from a $1

change in output delivered to final demand by the column industry. Each column total is the

sum of the entries in rows 1-37; these entries include earnings paid to households em

in industries 1-37. Each column total excludes the entry in row 38; this entry is the s

earnings paid to households. Column entries may not sum to totals due to rounding.
50 REGIONAL MULTIPLIERS

Table 1.1—Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area—Continued

[Dollars]

59.0301 59.0302 60.0100 60.0200 60.0400 61.0100 61.0200 61.0300 61.0500 61.0601 61.0603 61.0700 62.0101 62.0102 62.0200 62

1 ................................... 0.0102 0.0137 0.0127 0 0.0161 0 0.0124 0.0135 0.0111 0.0121 0.0123 0.0128 0.0157 0.0136 0.0150 0

2 ................................... 0 000000000000000 3 ................................... .0001 .0001 .0001 0 .0001 0 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 0

4 ................................... .0002 .0002 .0001 0 .0002 0 .0002 .0002 .0002 .0001 .0002 .0002 .0002 .0002 .0002 0

5 ................................... .0003 .0004 .0003 0 .0003 0 .0004 .0005 .0003 .0003 .0003 .0004 .0003 .0003 .0003 0

6 ................................... .0181 .0266 .0213 0 .0261 0 .0328 .0346 .0250 .0265 .0234 .0255 .0244 .0216 .0233 0

7 ................................... .0206 .0284 .0265 0 .0337 0 .0256 .0281 .0230 .0249 .0252 .0266 .0329 .0287 .0316 0

8 ................................... .0005 .0005 .0001 0 .0001 0 .0005 .0001 .0002 .0016 .0023 .0001 .0001 .0001 .0001 0

9 ................................... .0134 .0071 .0077 0 .0085 0 .0096 .0082 .0098 .0111 .0162 .0077 .0084 .0069 .0081 0

10 ................................... .0074 .0087 .0052 0 .0058 0 .0059 .0051 .0099 .0065 .0074 .0077 .0068 .0110 .0084 0

11 ................................... .0241 .0296 .0262 0 .0274 0 .0181 .0161 .0153 .0159 .0372 .0181 .0338 .0319 .0307 0

12 ................................... .0269 .0225 .0146 0 .0164 0 .0317 .0141 .0165 .0232 .0238 .0210 .0158 .0160 .0197 0

13 ................................... .0481 .0380 .0203 0 .0121 0 .0149 .0101 .0305 .0251 .0325 .0270 .0130 .0195 .0177 0

14 ................................... .0045 .0022 .0015 0 .0023 0 .0076 .0021 .0017 .0219 .0149 .0028 .0022 .0058 .0019 0

15 ................................... .0054 .0029 .0021 0 .0024 0 .0115 .0032 .0020 .0109 .0115 .0022 .0021 .0027 .0028 0

16 ................................... .0181 .0824 .0217 0 .0257 0 .0277 .0765 .0492 .0446 .0207 .0600 .0264 .0272 .0305 0

17 ................................... .0255 .0447 .0202 0 .0260 0 .0665 .0191 .0340 .0773 .0649 .0203 .0219 .0260 .0300 0

18 ................................... .0195 .0272 .0167 0 .0087 0 .0274 .0169 .0308 .0142 .0182 .0149 .0060 .0117 .0061 0

19 ................................... .0126 .0073 .0271 0 .0081 0 .0111 .0183 .0047 .0082 .0217 .0044 .0310 .0135 .0180 0

20 ................................... 1.1330 1.0510 .0117 0 .0145 0 .0143 .0136 .0130 .0519 .2305 .0512 .0141 .0123 .0145 0

21 ................................... .0007 .0007 1.0063 1.0000 1.0029 1.0000 1.0022 1.0042 1.0016 1.0494 1.0039 1.0649 .0008 .0007 .0007 0

22 ................................... .0020 .0018 .0091 0 .0025 0 .0044 .0018 .0018 .0016 .0018 .0017 1.0074 1.0206 1.0151 

23 ................................... .0012 .0013 .0012 0 .0013 0 .0010 .0010 .0012 .0011 .0013 .0010 .0015 .0013 .0013 0

24 ................................... .0603 .0593 .0524 0 .0485 0 .0453 .0439 .0463 .0503 .0715 .0562 .0468 .0465 .0435 0

25 ................................... .0258 .0366 .0312 0 .0384 0 .0273 .0292 .0243 .0272 .0355 .0293 .0397 .0365 .0364 0

26 ................................... .0267 .0420 .0281 0 .0373 0 .0285 .0372 .0302 .0278 .0296 .0332 .0353 .0323 .0356 0

27 ................................... .1192 .1006 .0578 0 .0584 0 .1074 .0701 .1489 .1113 .1214 .1362 .0772 .0741 .0829 0

28 ................................... .0440 .0618 .0557 0 .0708 0 .0546 .0610 .0481 .0526 .0527 .0559 .0685 .0593 .0672 0

29 ................................... .0297 .0364 .0447 0 .0453 0 .0317 .0352 .0304 .0309 .0345 .0330 .0442 .0392 .0390 0

30 ................................... .0217 .0274 .0243 0 .0299 0 .0234 .0263 .0211 .0220 .0252 .0242 .0306 .0270 .0296 0

31 ................................... .0708 .0983 .0929 0 .1173 0 .1078 .0968 .0797 .0866 .0880 .0954 .1174 .0987 .1111 0

32 ................................... .0089 .0115 .0160 0 .0172 0 .0099 .0105 .0093 .0097 .0117 .0106 .0132 .0122 .0121 0

33 ................................... .0085 .0121 .0095 0 .0118 0 .0093 .0102 .0092 .0089 .0098 .0105 .0119 .0106 .0119 0

34 ................................... .0487 .0619 .0593 0 .0718 0 .0509 .0504 .0478 .0471 .0719 .0553 .0736 .0722 .0646 0

35 ................................... .0256 .0344 .0316 0 .0390 0 .0304 .0324 .0285 .0300 .0316 .0321 .0401 .0382 .0382 0

36 ................................... .0398 .0561 .0527 0 .0673 0 .0506 .0564 .0448 .0491 .0486 .0523 .0651 .0554 .0626 0

37 ................................... .0438 .0851 .0439 0 .0547 0 .0463 .0537 .0397 .0420 .0473 .0463 .0544 .0556 .0719 0

38 ................................... .3960 .5580 .5244 0 .6691 0 .5032 .5614 .4457 .4885 .4834 .5198 .6474 .5509 .6224 0

Total .............................. 1.9654 2.1210 1.8526 1.0000 1.9489 1.0000 1.9493 1.9008 1.8904 2.0239 2.2495 2.0409 1.9831 1.9294 1.9827 

62.0400 62.0500 62.0600 62.0700 62.0800 62.0900 62.1000 62.1100 63.0200 63.0300 64.0101 64.0102 64.0104 64.0105 64.0200 64

1 ................................... 0.0135 0.0221 0.0127 0.0108 0 0 0.0155 0.0147 0.0160 0.0092 0.0107 0 0.0169 0.0149 0.0147 0

2 ................................... 0 000000000000000

3 ................................... .0001 .0001 .0001 0 0 0 .0001 .0001 .0001 .0001 0 0 .0001 .0001 .0001 

4 ................................... .0002 .0002 .0002 .0001 0 0 .0002 .0002 .0002 .0001 .0002 0 .0003 .0002 .0002 

5 ................................... .0003 .0003 .0004 .0002 0 0 .0003 .0003 .0003 .0003 .0002 0 .0003 .0003 .0003 

6 ................................... .0211 .0214 .0202 .0171 0 0 .0237 .0220 .0235 .0164 .0164 0 .0293 .0232 .0243 

7 ................................... .0278 .0348 .0264 .0223 0 0 .0325 .0308 .0335 .0190 .0220 0 .0357 .0308 .0304 

8 ................................... .0002 .0012 .0002 .0001 0 0 .0002 .0001 .0001 .0002 .0001 0 .0001 .0002 .0003 

9 ................................... .0072 .0070 .0066 .0056 0 0 .0080 .0077 .0081 .0046 .0053 0 .0088 .0090 .0075 

10 ................................... .0261 .0239 .0134 .0133 0 0 .0122 .0082 .0120 .0315 .0118 0 .0391 .0160 .0090 

11 ................................... .0283 .0287 .0188 .0219 0 0 .0218 .0244 .0245 .0266 .0311 0 .0376 .0590 .0419 

12 ................................... .0317 .0287 .0146 .0141 0 0 .0274 .0147 .0269 .0182 .0105 0 .0163 .0157 .0166 

13 ................................... .0409 .0236 .0158 .0122 0 0 .0813 .0137 .0186 .0265 .0069 0 .0089 .0231 .0194 

14 ................................... .0021 .0017 .0016 .0015 0 0 .0019 .0016 .0019 .0012 .0013 0 .0020 .0087 .0092 

15 ................................... .0038 .0036 .0133 .0034 0 0 .0058 .0024 .0201 .0015 .0018 0 .0029 .0048 .0021 

16 ................................... .0255 .0256 .0487 .0082 0 0 .0234 .0138 .0028 .0076 .0642 0 .0286 .0089 .0030 

17 ................................... .0408 .0377 .0112 .0359 0 0 .0395 .0256 .0052 .0121 .0034 0 .0159 .0053 .0055 

18 ................................... .0056 .0047 .0036 .0050 0 0 .0050 .0052 .0089 .0036 .0063 0 .0085 .0054 .0051 

19 ................................... .0087 .0068 .0060 .0094 0 0 .0206 .0308 .0032 .0092 .0022 0 .0032 .0028 .0139 

20 ................................... .0119 .0111 .0113 .0095 0 0 .0142 .0132 .0146 .0081 .0095 0 .0157 .0133 .0128 

21 ................................... .0006 .0006 .0006 .0005 0 0 .0008 .0007 .0007 .0004 .0005 0 .0008 .0007 .0007 

22 ................................... 1.0311 1.0395 1.0020 1.0036 1.0000 1.0000 1.0154 1.0193 1.0063 1.0050 .0015 0 .0021 .0021 .0019 

23 ................................... .0012 .0012 .0012 .0021 0 0 .0013 .0012 .0013 .0010 1.0019 1.0000 1.0027 1.0038 1.0211 

24 ................................... .0460 .0440 .0480 .0364 0 0 .0507 .0359 .0579 .0381 .0439 0 .0739 .0460 .0464 

25 ................................... .0329 .0321 .0296 .0263 0 0 .0353 .0347 .0359 .0244 .0288 0 .0400 .0464 .0376 

26 ................................... .0368 .0327 .0301 .0264 0 0 .0374 .0328 .0404 .0239 .0278 0 .0669 .0437 .0349 

27 ................................... .0805 .0795 .0809 .0836 0 0 .0794 .0792 .0707 .0640 .1206 0 .0883 .0667 .0781 

28 ................................... .0571 .0540 .0555 .0461 0 0 .0683 .0644 .0697 .0392 .0452 0 .0717 .0628 .0626 

29 ................................... .0350 .0369 .0325 .0293 0 0 .0456 .0366 .0452 .0341 .0323 0 .0459 .0394 .0380 

30 ................................... .0258 .0243 .0235 .0231 0 0 .0301 .0258 .0446 .0186 .0248 0 .0389 .0304 .0265 

31 ................................... .0994 .0949 .0943 .0787 0 0 .1176 .1114 .1201 .0667 .0799 0 .1219 .1050 .1059 

32 ................................... .0111 .0110 .0105 .0104 0 0 .0134 .0114 .0184 .0088 .0106 0 .0140 .0140 .0128 

33 ................................... .0102 .0098 .0095 .0087 0 0 .0118 .0110 .0126 .0070 .0096 0 .0133 .0104 .0107 

34 ................................... .0628 .0665 .0559 .0504 0 0 .1276 .0587 .0833 .0547 .0669 0 .0847 .0814 .0709 

35 ................................... .0357 .0328 .0319 .0282 0 0 .0392 .0368 .0482 .0237 .0321 0 .0495 .0404 .0382 

36 ................................... .0534 .0506 .0522 .0436 0 0 .0640 .0615 .0630 .0368 .0418 0 .0674 .0585 .0591 

37 ................................... .0508 .0523 .0488 .0426 0 0 .0616 .0484 .0799 .0377 .0440 0 .0592 .0661 .0522 

38 ................................... .5309 .5031 .5196 .4338 0 0 .6362 .6117 .6266 .3664 .4153 0 .6706 .5819 .5882 

Total .............................. 1.9660 1.9459 1.8321 1.7308 1.0000 1.0000 2.1328 1.8994 2.0186 1.6802 1.8163 1.0000 2.1112 1.9595 1.9137 

NOTE.—The column industries are identified in appendix B, and the row industries are identified in appendix C.

Each entry measures the change in output in each row industry that results from a $1

change in output delivered to final demand by the column industry. Each column total is the

sum of the entries in rows 1-37; these entries include earnings paid to households em

in industries 1-37. Each column total excludes the entry in row 38; this entry is the s

earnings paid to households. Column entries may not sum to totals due to rounding.
REGIONAL MULTIPLIERS 

Table 1.1—Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area—Continued

[Dollars]

64.0302 64.0400 64.0501 64.0502 64.0503 64.0504 64.0700 64.0800 64.0900 64.1000 64.1100 64.1200 65.0100 65.0200 65.0300 65

1 ................................... 0.0140 0.0136 0 0.0141 0.0174 0 0.0139 0.0140 0 0.0139 0.0169 0.0197 0.0163 0.0228 0.0200 0

2 ................................... 0 000000000000000 3 ................................... 0 .0001 0 .0001 .0001 0 .0001 .0001 0 .0001 .0001 .0001 0 .0001 .0001 

4 ................................... .0002 .0002 0 .0002 .0002 0 .0002 .0002 0 .0002 .0002 .0002 .0002 .0002 .0002 

5 ................................... .0003 .0005 0 .0006 .0004 0 .0003 .0003 0 .0004 .0003 .0005 .0014 .0004 .0003 

6 ................................... .0250 .0195 0 .0241 .0324 0 .0232 .0225 0 .0248 .0251 .0329 .1572 .0347 .0279 

7 ................................... .0298 .0265 0 .0281 .0365 0 .0293 .0289 0 .0293 .0350 .0386 .0325 .0479 .0387 

8 ................................... .0029 .0006 0 .0003 .0001 0 .0013 .0006 0 .0016 .0001 .0002 .0001 .0001 .0001 

9 ................................... .0079 .0106 0 .0070 .0088 0 .0073 .0071 0 .0073 .0094 .0082 .0081 .0126 .0096 

10 ................................... .0148 .0188 0 .0128 .0084 0 .0091 .0123 0 .0067 .0216 .0259 .0059 .0079 .0072 

11 ................................... .0281 .0256 0 .0425 .0578 0 .0456 .0495 0 .0706 .0664 .0499 .0193 .0289 .0242 

12 ................................... .0453 .0368 0 .0204 .0219 0 .0282 .0301 0 .0274 .0338 .0359 .0165 .0212 .0156 

13 ................................... .0097 .0341 0 .0411 .0300 0 .0168 .0097 0 .0104 .0374 .0230 .0099 .0134 .0093 

14 ................................... .0022 .0069 0 .0726 .0111 0 .0015 .0143 0 .0042 .0177 .0087 .0045 .0023 .0020 

15 ................................... .0021 .0030 0 .0220 .0030 0 .0020 .0020 0 .0024 .0035 .0029 .0080 .0031 .0020 

16 ................................... .0027 .0427 0 .0041 .0370 0 .0310 .0120 0 .0566 .0341 .0173 .0078 .0036 .0026 

17 ................................... .0061 .0109 0 .0173 .0135 0 .0052 .0126 0 .0340 .0129 .0170 .0142 .0105 .0068 

18 ................................... .0049 .0055 0 .0041 .0070 0 .0050 .0048 0 .0058 .0072 .0128 .0095 .0035 .0032 

19 ................................... .0027 .0108 0 .0029 .0035 0 .0026 .0027 0 .0035 .0072 .0032 .0063 .0063 .0043 

20 ................................... .0124 .0106 0 .0118 .0154 0 .0125 .0120 0 .0123 .0149 .0129 .0142 .0251 .0195 

21 ................................... .0006 .0006 0 .0006 .0008 0 .0006 .0006 0 .0006 .0008 .0007 .0024 .0014 .0009 

22 ................................... .0018 .0018 0 .0017 .0022 0 .0018 .0019 0 .0018 .0023 .0022 .0019 .0026 .0022 

23 ................................... 1.0096 1.0061 1.0000 1.0034 1.0039 1.0000 1.0050 1.0039 1.0000 1.0051 1.0116 1.0093 .0012 .0017 .0014 

24 ................................... .0575 .0519 0 .0592 .0491 0 .0517 .0513 0 .0560 .0585 .0529 1.1198 1.0968 1.2716 

25 ................................... .0319 .0275 0 .0402 .0516 0 .0399 .0407 0 .0500 .0502 .0411 .0278 .0399 .0503 

26 ................................... .0341 .0355 0 .0357 .0553 0 .0457 .0335 0 .0398 .0376 .0352 .0272 .0374 .0374 

27 ................................... .0947 .0943 0 .1443 .0670 0 .0613 .0666 0 .1259 .0953 .0887 .0626 .0739 .0628 

28 ................................... .0589 .0512 0 .0578 .0744 0 .0607 .0590 0 .0594 .0723 .0629 .0744 .1128 .1143 

29 ................................... .0500 .0471 0 .0357 .0431 0 .0376 .0367 0 .0404 .0456 .0402 .0475 .0636 .0525 

30 ................................... .0288 .0242 0 .0249 .0304 0 .0270 .0253 0 .0267 .0322 .0273 .0306 .0556 .0470 

31 ................................... .1131 .0870 0 .1000 .1297 0 .1000 .0988 0 .1023 .1266 .1082 .1134 .1646 .1510 

32 ................................... .0114 .0101 0 .0121 .0153 0 .0125 .0126 0 .0142 .0156 .0131 .0129 .0168 .0148 

33 ................................... .0123 .0097 0 .0103 .0138 0 .0104 .0103 0 .0112 .0124 .0110 .0112 .0186 .0146 

34 ................................... .0694 .0577 0 .0742 .0904 0 .0705 .0715 0 .0873 .0891 .0935 .0850 .0723 .0738 

35 ................................... .0383 .0329 0 .0360 .0485 0 .0377 .0376 0 .0391 .0464 .0483 .0406 .0561 .0489 

36 ................................... .0552 .0474 0 .0538 .0704 0 .0569 .0556 0 .0557 .0673 .0584 .0636 .0959 .0761 

37 ................................... .0803 .0527 0 .0586 .0674 0 .0560 .0491 0 .0540 .0650 .0560 .0668 .0966 .1037 

38 ................................... .5486 .4712 0 .5355 .7000 0 .5661 .5535 0 .5537 .6695 .5809 .6327 .9538 .7574 

Total .............................. 1.9590 1.9147 1.0000 2.0746 2.1178 1.0000 1.9109 1.8907 1.0000 2.0811 2.1729 2.0587 2.1208 2.2509 2.3168 2

65.0500 65.0600 65.0701 65.0702 66.0000 67.0000 68.0100 68.0200 68.0301 68.0302 69.0100 69.0200 70.0150 70.0300 70.0400 70

1 ................................... 0.0170 0.0066 0.0238 0.0266 0.0120 0.0162 0.0084 0.0067 0.0207 0.0189 0.0173 0.0205 0.0207 0.0248 0.0228 0

2 ................................... 0 000000000000000

3 ................................... 0 .0002 .0001 .0001 0 0 .0022 0 .0001 .0001 .0001 .0001 .0001 .0001 .0001 

4 ................................... .0003 .0006 .0002 .0002 .0001 .0001 .0007 .0133 .0002 .0012 .0002 .0002 .0002 .0002 .0002 

5 ................................... .0003 .0006 .0004 .0004 .0006 .0003 .0007 .0002 .0025 .0006 .0003 .0004 .0004 .0003 .0003 

6 ................................... .0256 .0626 .0337 .0383 .0664 .0290 .0799 .0230 .2529 .0387 .0277 .0408 .0351 .0291 .0305 

7 ................................... .0363 .0129 .0492 .0550 .0244 .0345 .0165 .0138 .0383 .0388 .0356 .0425 .0422 .0521 .0474 

8 ................................... .0001 .0002 .0001 .0001 .0001 .0001 .0001 0 .0002 .0001 .0001 .0001 .0001 .0001 .0001 

9 ................................... .0077 .0072 .0113 .0126 .0064 .0083 .0041 .0035 .0092 .0094 .0087 .0101 .0102 .0127 .0111 

10 ................................... .0061 .0028 .0130 .0089 .0048 .0055 .0032 .0022 .0264 .0070 .0187 .0133 .0101 .0077 .0081 

11 ................................... .0332 .0097 .0472 .0653 .0230 .0236 .0102 .0074 .0338 .0223 .0384 .0457 .0490 .0359 .0428 

12 ................................... .0127 .0071 .0180 .0194 .0122 .0134 .0099 .0056 .0599 .0271 .0143 .0163 .0159 .0184 .0166 

13 ................................... .0074 .0041 .0160 .0119 .0095 .0076 .0053 .0032 .0861 .0106 .0104 .0100 .0103 .0110 .0101 

14 ................................... .0016 .0018 .0050 .0024 .0022 .0018 .0023 .0009 .0069 .0038 .0040 .0022 .0020 .0022 .0020 

15 ................................... .0017 .0032 .0025 .0027 .0035 .0019 .0040 .0013 .0163 .0026 .0020 .0026 .0024 .0022 .0021 

16 ................................... .0018 .0035 .0027 .0026 .0030 .0018 .0030 .0012 .0104 .0063 .0025 .0026 .0023 .0023 .0022 

17 ................................... .0046 .0064 .0067 .0063 .0083 .0044 .0063 .0025 .0391 .0160 .0063 .0063 .0056 .0056 .0053 

18 ................................... .0025 .0079 .0035 .0030 .0024 .0021 .0028 .0012 .0081 .0046 .0037 .0028 .0028 .0026 .0024 

19 ................................... .0032 .0046 .0043 .0049 .0161 .0073 .0035 .0017 .0141 .0050 .0034 .0039 .0046 .0043 .0041 

20 ................................... .0131 .0060 .0199 .0222 .0107 .0139 .0072 .0060 .0171 .0586 .0152 .0178 .0175 .0221 .0192 

21 ................................... .0011 .0003 .0021 .0011 .0006 .0008 .0005 .0004 .0008 .0009 .0008 .0009 .0012 .0013 .0010 

22 ................................... .0019 .0008 .0027 .0031 .0015 .0038 .0011 .0008 .0033 .0052 .0021 .0023 .0032 .0029 .0029 

23 ................................... .0014 .0005 .0019 .0025 .0011 .0012 .0006 .0005 .0018 .0015 .0016 .0021 .0020 .0017 .0019 

24 ................................... 1.1587 1.0336 1.2050 1.0769 .0334 .0436 .0571 .0243 .0851 .0757 .0522 .0503 .1050 .1063 .0621 

25 ................................... .0504 .0141 .0700 .0991 1.2810 1.0503 .0159 .0115 .0628 .0342 .0491 .0567 .0669 .0561 .0641 

26 ................................... .0280 .1010 .0381 .0638 .0284 .0258 1.0523 1.2849 1.0447 1.1456 .0362 .0520 .0381 .0379 .0348 

27 ................................... .0684 .0275 .0621 .0603 .0379 .0429 .0335 .0219 .0972 .0817 1.0651 .0512 .0539 .0581 .0526 

28 ................................... .0646 .0298 .0973 .1068 .0527 .0681 .0376 .0301 .0844 .0878 .0732 1.0875 .0858 .1074 .0935 

29 ................................... .0700 .0457 .1254 .0938 .0442 .0481 .0331 .0250 .0935 .0556 .0549 .0564 1.2365 1.1851 .1335 

30 ................................... .0353 .0231 .0798 .0745 .0221 .0275 .0237 .0132 .2022 .1365 .0310 .0372 .0553 .0445 1.4459 

31 ................................... .1206 .0518 .2012 .2295 .1016 .1655 .0593 .0503 .1540 .1272 .1370 .1928 .1785 .1922 .1878 

32 ................................... .0126 .0102 .0188 .0213 .0119 .1570 .0062 .0050 .0218 .0140 .0186 .0176 .0175 .0218 .0224 

33 ................................... .0165 .0056 .0187 .0199 .0113 .0229 .0077 .0053 .0308 .0240 .0160 .0188 .0158 .0176 .0166 

34 ................................... .0809 .0407 .1213 .1513 .0613 .0828 .0436 .0282 .1468 .0754 .1125 .1174 .1825 .1292 .1103 

35 ................................... .0675 .0161 .0786 .0867 .0307 .0443 .0198 .0160 .0508 .0479 .0520 .0579 .0602 .0660 .0726 

36 ................................... .0605 .0251 .0903 .1016 .0479 .0647 .0327 .0278 .0706 .0754 .0674 .0806 .0802 .1027 .0889 

37 ................................... .0528 .0397 .0997 .0852 .0431 .0567 .0336 .0386 .0678 .0667 .0753 .0826 .0776 .0798 .0743 

38 ................................... .6020 .2494 .8978 1.0109 .4770 .6435 .3249 .2767 .7023 .7499 .6704 .8020 .7973 1.0218 .8838 

Total .............................. 2.0664 1.6135 2.5704 2.5604 2.0166 2.0776 1.6283 1.6774 2.8611 2.3269 2.0538 2.2024 2.4913 2.4444 2.6926 2

NOTE.—The column industries are identified in appendix B, and the row industries are identified in appendix C.

Each entry measures the change in output in each row industry that results from a $1

change in output delivered to final demand by the column industry. Each column total is the

sum of the entries in rows 1-37; these entries include earnings paid to households em

in industries 1-37. Each column total excludes the entry in row 38; this entry is the s

earnings paid to households. Column entries may not sum to totals due to rounding.
52 REGIONAL MULTIPLIERS

Table 1.1—Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area—Continued

[Dollars]

71.0100 71.0201 71.0202 72.0100 72.0201 72.0202 72.0203 72.0204 72.0205 72.0300 73.0101 73.0102 73.0103 73.0104 73.0105 73

1 ................................... 0.0109 0.0129 0 0.0261 0.0278 0.0224 0.0219 0.0124 0.0737 0.0281 0.0152 0.0272 0.0301 0.0222 0.0243 0

2 ................................... 0 000000000000000 3 ................................... 0 0 0 .0001 .0001 .0001 .0001 0 .0001 .0001 .0001 .0001 .0001 .0001 .0001 

4 ................................... 0 .0001 0 .0004 .0006 .0002 .0003 .0001 .0002 .0003 .0002 .0003 .0002 .0002 .0002 

5 ................................... .0005 .0007 0 .0008 .0005 .0016 .0004 .0002 .0007 .0005 .0004 .0004 .0004 .0003 .0004 

6 ................................... .0547 .0764 0 .0660 .0460 .0534 .0404 .0205 .0525 .0479 .0397 .0351 .0316 .0299 .0345 

7 ................................... .0048 .0127 0 .0422 .0571 .0449 .0446 .0260 .0888 .0578 .0313 .0542 .0632 .0463 .0510 

8 ................................... 0 0 0 .0003 .0007 .0002 .0002 .0001 .0013 .0002 .0001 .0002 .0002 .0002 .0002 

9 ................................... .0012 .0028 0 .0199 .0424 .0132 .0145 .0065 .0120 .0150 .0081 .0148 .0157 .0113 .0118 

10 ................................... .0011 .0032 0 .0104 .0163 .0080 .0160 .0050 .0140 .0117 .0061 .0135 .0097 .0104 .0099 

11 ................................... .0040 .0217 0 .0402 .0414 .0386 .1082 .0203 .0366 .0452 .0255 .0350 .0332 .0646 .0505 

12 ................................... .0042 .0078 0 .0307 .0362 .0251 .0193 .0108 .0286 .0357 .0174 .0662 .0220 .0198 .0236 

13 ................................... .0021 .0054 0 .0280 .0281 .0138 .0129 .0110 .1247 .0627 .0208 .0153 .0127 .0271 .0191 

14 ................................... .0013 .0021 0 .0029 .0029 .0028 .0024 .0015 .0067 .0031 .0020 .0025 .0026 .0022 .0023 

15 ................................... .0026 .0039 0 .0079 .0031 .0571 .0027 .0014 .0038 .0034 .0028 .0027 .0024 .0022 .0031 

16 ................................... .0015 .0023 0 .0033 .0038 .0057 .0030 .0027 .0060 .0036 .0069 .0031 .0027 .0026 .0030 

17 ................................... .0036 .0055 0 .0079 .0097 .0085 .0070 .0053 .0176 .0102 .0094 .0078 .0065 .0061 .0069 

18 ................................... .0013 .0017 0 .0035 .0045 .0029 .0047 .0083 .0064 .0038 .0510 .0048 .0029 .0042 .0047 

19 ................................... .0013 .0025 0 .0057 .0054 .0043 .0056 .0122 .0060 .0082 .0041 .0073 .0049 .0092 .0104 

20 ................................... .0020 .0049 0 .0176 .0243 .0193 .0185 .0112 .0161 .0252 .0139 .0233 .0270 .0196 .0204 

21 ................................... .0001 .0003 0 .0011 .0012 .0010 .0010 .0006 .0008 .0013 .0009 .0012 .0014 .0010 .0011 

22 ................................... .0003 .0008 0 .0029 .0033 .0025 .0138 .0016 .0024 .0035 .0022 .0031 .0036 .0029 .0030 

23 ................................... .0002 .0007 0 .0025 .0024 .0232 .0024 .0010 .0024 .0066 .0014 .0023 .0021 .0017 .0019 

24 ................................... .0079 .0228 0 .0620 .0746 .0651 .0776 .0315 .0560 .0691 .0385 .0616 .0597 .0621 .1088 

25 ................................... .0057 .0218 0 .0559 .0607 .0565 .0770 .0387 .0551 .0718 .0437 .0570 .0590 .0721 .0631 

26 ................................... .0042 .0110 0 .0757 .0887 .0462 .0526 .0265 .0413 .0687 .0327 .0449 .0445 .0383 .0420 

27 ................................... .0094 .0204 0 .0662 .0834 .0784 .0721 .0680 .1045 .0863 .0743 .0856 .0673 .0692 .0703 

28 ................................... .0126 .0269 0 .0873 .1180 .0958 .0906 .0551 .0816 .1235 .0679 .1134 .1325 .0961 .0983 

29 ................................... .0148 .0377 0 .0993 .0816 .0545 .0917 .0313 .0553 .0740 .0381 .0712 .0727 .0652 .0739 

30 ................................... .0451 .0360 0 .0382 .0511 .0385 .0400 .0229 .0335 .0527 .0282 .0472 .0517 .0396 .0429 

31 ................................... 1.0559 1.1351 1.0000 .1734 .2401 .1793 .2303 .1109 .1605 .2832 .1275 .1857 .2142 .1858 .1979 

32 ................................... .0022 .0073 0 1.0159 .0209 .0170 .0189 .0102 .0148 .0233 .0120 .0200 .0220 .0174 .0233 

33 ................................... .0018 .0065 0 .0310 1.1046 1.0166 1.0265 1.0105 1.0168 1.0228 .0116 .0211 .0215 .0163 .0167 

34 ................................... .0245 .0605 0 .1411 .1345 .0903 .4264 .0461 .0874 .0930 1.0743 1.1220 1.0973 1.1730 1.2205 

35 ................................... .0066 .0241 0 .0471 .0758 .0509 .0632 .0311 .0482 .0671 .0383 .0671 .0724 .0586 .0691 

36 ................................... .0092 .0220 0 .0802 .1099 .0901 .0846 .0517 .0749 .1158 .0620 .1062 .1276 .0911 .0915 

37 ................................... .0096 .0266 0 .0913 .1254 .0743 .1190 .0513 .0800 .1200 .0633 .1007 .0944 .0814 .0983 

38 ................................... .0913 .2188 0 .7972 1.0927 .8962 .8412 .5146 .7409 1.1519 .6171 1.0567 1.2692 .9064 .9090 

Total .............................. 1.3074 1.6271 1.0000 2.3848 2.7272 2.3022 2.8103 1.7447 2.4115 2.6452 1.9719 2.4242 2.4121 2.3503 2.4989 2

73.0107 73.0108 73.0109 73.0200 73.0301 73.0302 73.0303 74.0000 75.0001 75.0002 75.0003 76.0101 76.0102 76.0201 76.0202 76

1 ................................... 0.0166 0.0189 0.0185 0.0241 0.0282 0.0246 0.0234 0.0860 0.0153 0.0141 0.0196 0.0174 0.0167 0.0206 0.0235 0

2 ................................... 0 000000000000000

3 ................................... .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0002 

4 ................................... .0002 .0002 .0002 .0002 .0003 .0002 .0002 .0002 .0004 .0002 .0003 .0002 .0002 .0002 .0004 

5 ................................... .0003 .0003 .0003 .0004 .0004 .0004 .0003 .0005 .0003 .0003 .0005 .0003 .0003 .0004 .0007 

6 ................................... .0266 .0288 .0271 .0358 .0375 .0307 .0291 .0329 .0266 .0257 .0525 .0280 .0282 .0393 .0734 

7 ................................... .0343 .0392 .0384 .0500 .0585 .0512 .0484 .1829 .0308 .0291 .0383 .0443 .0355 .0428 .0452 

8 ................................... .0001 .0001 .0001 .0002 .0002 .0002 .0001 .0001 .0001 .0001 .0001 .0002 .0001 .0002 .0001 

9 ................................... .0087 .0094 .0090 .0125 .0146 .0127 .0116 .0085 .0097 .0078 .0123 .0097 .0086 .0184 .0110 

10 ................................... .0068 .0080 .0112 .0098 .0120 .0096 .0101 .0143 .0085 .0057 .0078 .0064 .0058 .0083 .0090 

11 ................................... .0326 .0340 .0639 .0721 .0388 .0390 .0479 .0332 .0278 .0234 .0388 .0550 .0313 .0465 .0458 

12 ................................... .0139 .0149 .0176 .0198 .0222 .0192 .0190 .0172 .0206 .0183 .0159 .0172 .0138 .0170 .0218 

13 ................................... .0114 .0101 .0244 .0122 .0135 .0150 .0132 .0169 .0179 .0113 .0117 .0084 .0097 .0107 .0132 

14 ................................... .0017 .0019 .0019 .0023 .0028 .0023 .0021 .0020 .0018 .0018 .0024 .0024 .0018 .0045 .0030 

15 ................................... .0018 .0021 .0020 .0025 .0028 .0023 .0022 .0027 .0043 .0041 .0034 .0019 .0019 .0026 .0042 

16 ................................... .0028 .0024 .0037 .0026 .0032 .0027 .0026 .0026 .0068 .0078 .0045 .0019 .0024 .0027 .0038 

17 ................................... .0087 .0054 .0096 .0063 .0078 .0066 .0057 .0062 .0270 .0274 .0086 .0046 .0069 .0062 .0086 

18 ................................... .0078 .0031 .0085 .0030 .0034 .0037 .0038 .0033 .0210 .0054 .0043 .0022 .0051 .0031 .0061 

19 ................................... .0038 .0065 .0044 .0045 .0055 .0049 .0093 .0035 .0067 .0105 .0293 .0031 .0035 .0074 .0057 

20 ................................... .0144 .0162 .0156 .0214 .0263 .0218 .0201 .0146 .0256 .0576 .0158 .0146 .0146 .0178 .0183 

21 ................................... .0008 .0008 .0008 .0011 .0013 .0011 .0010 .0008 .0013 .0007 .0008 .0010 .0008 .0009 .0010 

22 ................................... .0030 .0165 .0041 .0030 .0047 .0032 .0033 .0019 .0020 .0018 .0025 .0033 .0022 .0029 .0029 

23 ................................... .0024 .0015 .0019 .0019 .0023 .0020 .0027 .0017 .0014 .0012 .0022 .0017 .0020 .0019 .0051 

24 ................................... .0544 .0648 .0609 .0572 .0916 .0575 .0575 .0527 .0756 .0386 .0614 .0477 .0442 .0541 .0669 

25 ................................... .0475 .0527 .0572 .0794 .0673 .0559 .0554 .0387 .0404 .0388 .0476 .0511 .0514 .0553 .0546 

26 ................................... .0349 .0341 .0338 .0383 .0465 .0397 .0373 .0472 .0362 .0337 .0551 .0330 .0343 .0499 .0966 

27 ................................... .0495 .0553 .0583 .0602 .0734 .0610 .0680 .0952 .0887 .0709 .0623 .0439 .0439 .0580 .0627 

28 ................................... .0705 .0796 .0768 .1035 .1247 .1067 .0981 .0718 .0936 .1034 .0795 .0714 .0717 .0867 .0910 

29 ................................... .0569 .0590 .0568 .0662 .0710 .0773 .0677 .0522 .1344 .0364 .0618 .0470 .0485 .0582 .0737 

30 ................................... .0508 .0331 .0326 .0435 .0546 .0436 .0407 .0311 .0930 .0256 .0366 .0302 .0411 .0359 .0397 

31 ................................... .1479 .1634 .1444 .2285 .2554 .2092 .2097 .1600 .1262 .1346 .2917 .1486 .1566 .1890 .2356 

32 ................................... .0140 .0162 .0165 .0314 .0417 .0254 .0208 .0149 .0135 .0111 .0165 1.2181 1.1418 1.0646 1.0185 

33 ................................... .0152 .0140 .0132 .0198 .0235 .0197 .0202 .0146 .0191 .0293 .0205 .0121 .0133 .0169 .0501 

34 ................................... 1.2039 1.2753 1.1128 1.1048 1.1440 1.4094 1.4130 .0866 .1262 .0543 .2250 .0809 .1333 .3351 .2783 

35 ................................... .0458 .0546 .0580 .0663 .0706 .0624 .0658 1.0422 .0495 .0348 .0628 .0432 .0428 .0561 .0677 

36 ................................... .0666 .0752 .0721 .0973 .1163 .1019 .0935 .0681 .0563 .0578 .0700 .0675 .0681 .0820 .0847 

37 ................................... .0637 .0704 .0729 .0963 .1213 .0892 .0801 .0613 1.1080 1.0520 1.0958 .0604 .0590 .0969 .0925 

38 ................................... .6625 .7484 .7170 .9678 1.1556 1.0134 .9300 .6724 .5598 .5754 .6962 .6713 .6776 .8161 .8420 

Total .............................. 2.1202 2.2680 2.1296 2.3785 2.5882 2.6124 2.5843 2.2686 2.3168 1.9756 2.4585 2.1787 2.1413 2.4933 2.6153 3

NOTE.—The column industries are identified in appendix B, and the row industries are identified in appendix C.

Each entry measures the change in output in each row industry that results from a $1

change in output delivered to final demand by the column industry. Each column total is the

sum of the entries in rows 1-37; these entries include earnings paid to households em

in industries 1-37. Each column total excludes the entry in row 38; this entry is the s

earnings paid to households. Column entries may not sum to totals due to rounding.
REGIONAL MULTIPLIERS 

Table 1.1—Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area—Continued

[Dollars]

76.0204 76.0205 76.0206 77.0100 77.0200 77.0301 77.0302 77.0401 77.0402 77.0403 77.0501 77.0502 77.0503 77.0504 77.0600 77

1 ................................... 0.0349 0.0363 0.0426 0.0226 0.0326 0.0370 0.0203 0.0324 0.0275 0.0354 0.0202 0.0216 0.0252 0.0242 0.0217 0

2 ................................... 0 000000000000000 3 ................................... .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 

4 ................................... .0002 .0002 .0002 .0002 .0003 .0004 .0002 .0002 .0002 .0003 .0002 .0003 .0002 .0002 .0002 

5 ................................... .0004 .0006 .0005 .0004 .0005 .0008 .0006 .0017 .0009 .0004 .0005 .0008 .0010 .0005 .0004 

6 ................................... .0322 .0545 .0452 .0305 .0360 .0828 .0284 .1801 .1000 .0324 .0411 .0855 .1064 .0466 .0336 

7 ................................... .0384 .0387 .0517 .0468 .0617 .0693 .0409 .0557 .0464 .0427 .0412 .0399 .0461 .0416 .0422 

8 ................................... .0001 .0001 .0001 .0002 .0003 .0002 .0002 .0001 .0001 .0002 .0001 .0002 .0002 .0002 .0004 

9 ................................... .0075 .0115 .0103 .0118 .0167 .0157 .0103 .0117 .0116 .0103 .0098 .0099 .0175 .0098 .0104 

10 ................................... .0070 .0076 .0083 .0116 .0128 .0102 .0093 .0116 .0108 .0173 .0162 .0225 .0105 .0193 .0145 

11 ................................... .0457 .0425 .0399 .0318 .0376 .0320 .0274 .0403 .0511 .1234 .3476 .1765 .0310 .1945 .0367 

12 ................................... .0141 .0183 .0202 .0266 .0568 .0465 .0639 .0258 .0227 .0235 .0260 .0247 .0189 .0255 .0246 

13 ................................... .0154 .0097 .0270 .0186 .0463 .0248 .0384 .0140 .0129 .0161 .0166 .0145 .0112 .0142 .0400 

14 ................................... .0018 .0024 .0023 .0023 .0024 .0035 .0022 .0054 .0036 .0022 .0023 .0037 .0037 .0023 .0191 

15 ................................... .0020 .0031 .0029 .0027 .0037 .0049 .0036 .0100 .0061 .0052 .0027 .0048 .0057 .0032 .0027 

16 ................................... .0022 .0028 .0034 .0028 .0032 .0040 .0026 .0060 .0043 .0041 .0026 .0045 .0040 .0030 .0121 

17 ................................... .0054 .0066 .0072 .0073 .0083 .0096 .0063 .0143 .0098 .0089 .0065 .0101 .0097 .0070 .0349 

18 ................................... .0028 .0032 .0035 .0029 .0032 .0038 .0029 .0044 .0043 .0036 .0036 .0041 .0033 .0041 .0037 

19 ................................... .0032 .0044 .0046 .0042 .0052 .0065 .0043 .0088 .0072 .0094 .0045 .0056 .0054 .0042 .0045 

20 ................................... .0130 .0161 .0168 .0202 .0205 .0220 .0173 .0203 .0203 .0191 .0171 .0162 .0199 .0168 .0179 

21 ................................... .0007 .0018 .0033 .0011 .0011 .0011 .0009 .0011 .0012 .0010 .0009 .0009 .0010 .0009 .0009 

22 ................................... .0021 .0033 .0026 .0104 .0195 .0080 .0117 .0034 .0047 .0035 .0033 .0034 .0033 .0029 .0026 

23 ................................... .0032 .0029 .0041 .0017 .0018 .0018 .0016 .0025 .0025 .0028 .0033 .0031 .0034 .0019 .0054 

24 ................................... .0517 .0496 .0548 .0603 .0551 .0591 .0595 .0585 .0795 .0709 .1863 .1304 .0554 .1108 .0583 

25 ................................... .0404 .0487 .0485 .0521 .0443 .0471 .0450 .0467 .0525 .0710 .0472 .0511 .0475 .0484 .0440 

26 ................................... .0391 .0743 .0390 .0392 .0525 .0685 .0361 .0490 .0452 .0442 .0599 .0614 .0416 .0487 .0442 

27 ................................... .0495 .0514 .0595 .0652 .0850 .0802 .0783 .0743 .0684 .0751 .0829 .0712 .0636 .0763 .0789 

28 ................................... .0644 .0802 .0834 .0993 .1006 .1093 .0847 .1054 .0996 .0892 .0839 .0795 .1003 .0814 .0875 

29 ................................... .0718 .0520 .0563 .0618 .0561 .0637 .0539 .0599 .0638 .0897 .0672 .0528 .0581 .0556 .0696 

30 ................................... .0283 .0334 .0355 .0493 .0443 .0460 .0358 .0474 .0481 .0495 .0378 .0399 .0585 .0431 .0418 

31 ................................... .1790 .1714 .2209 .1943 .2526 .2150 .1836 .2611 .3208 .2087 .1617 .2625 .3359 .1960 .2003 

32 ................................... 1.2343 1.0149 1.0194 .0181 .0174 .0184 .0164 .0193 .0187 .0317 .0174 .0375 .0257 .0301 .0190 

33 ................................... .0178 .0204 .0242 .0164 .0214 .0224 .0145 .0179 .0188 .0162 .0191 .0167 .0174 .0179 .0182 

34 ................................... .1375 .1496 .1411 .1112 .1043 .1052 .0997 .1301 .1172 .1838 .1211 .1544 .0877 .1293 .1294 

35 ................................... .0444 .0518 .0539 .0538 .0622 .0645 .0481 .0640 .0577 .0558 .0562 .0648 .0546 .0539 .0506 

36 ................................... .0596 .0747 .0779 1.1445 1.0952 1.1012 1.0801 .0934 .0913 .0823 .0781 .0720 .0916 .0741 .0832 

37 ................................... .0670 .0767 .0752 .0858 .0825 .0972 .0711 1.0888 1.0883 1.0886 1.0971 1.0833 1.0840 1.0858 1.0688 

38 ................................... .5929 .7431 .7741 .9336 .9469 1.0057 .7972 .9286 .9078 .8179 .7770 .7154 .9109 .7365 .8275 

Total .............................. 2.3169 2.2157 2.2867 2.3080 2.4442 2.4826 2.2000 2.5656 2.5182 2.5185 2.6824 2.6301 2.4497 2.4743 2.3226 2

77.0800 77.0900 78.0100 78.0200 78.0500 79.0000 91.0000

1 ......................... 0.1049 0.0387 0.0253 0 0.0466 0.0185 0.0330

2 ......................... 0 0 0 0000

3 ......................... .0001 .0001 .0001 0 0 .0005 .0001

4 ......................... .0005 .0005 .0002 0 .0002 .0009 .0003

5 ......................... .0005 .0008 .0004 0 .0002 .0025 .0004

6 ......................... .0383 .0757 .0325 0 .0151 .2577 .0313

7 ......................... .1778 .0718 .0524 0 .0794 .0321 .0704

8 ......................... .0002 .0002 .0002 0 .0001 .0001 .0002

9 ......................... .0176 .0108 .0138 0 .0065 .0083 .0177

10 ......................... .0109 .0121 .0081 0 .0061 .0066 .0090

11 ......................... .0294 .1285 .0333 0 .0285 .0207 .0282

12 ......................... .0311 .0247 .0197 0 .0127 .0276 .0240

13 ......................... .0192 .0229 .0115 0 .0121 .0116 .0136

14 ......................... .0022 .0031 .0023 0 .0012 .0066 .0028

15 ......................... .0025 .0043 .0024 0 .0012 .0126 .0025

16 ......................... .0026 .0035 .0028 0 .0039 .0082 .0027

17 ......................... .0063 .0083 .0065 0 .0180 .0174 .0068

18 ......................... .0031 .0034 .0032 0 .0043 .0116 .0029

19 ......................... .0041 .0053 .0048 0 .0043 .0110 .0050

20 ......................... .0170 .0187 .0268 0 .0116 .0150 .0304

21 ......................... .0009 .0010 .0012 0 .0014 .0011 .0016

22 ......................... .0025 .0031 .0029 0 .0017 .0020 .0036

23 ......................... .0034 .0040 .0018 0 .0009 .0013 .0021

24 ......................... .0608 .0784 1.1456 0 .0369 .0559 .0556

25 ......................... .0473 .0871 .0426 0 .0358 .0324 .0491

26 ......................... .0601 .0599 .0449 1.0000 .0367 .1198 .0471

27 ......................... .0918 .0712 .0623 0 .0527 .0740 .0721

28 ......................... .0837 .0929 .1128 0 .0551 .0765 .1490

29 ......................... .0508 .1053 .0580 0 .0372 .0474 .0738

30 ......................... .0368 .0392 .0457 0 .0229 .0376 .0570

31 ......................... .2169 .1896 .1856 0 .0875 .1181 .2246

32 ......................... .0167 .0274 .0183 0 .0135 .0125 .0236

33 ......................... .0162 .0173 .0179 0 .0092 .0114 .0229

34 ......................... .1254 .1514 .0746 0 .0468 .1232 .0740

35 ......................... .0502 .0597 .0591 0 .0338 .0380 .0754

36 ......................... .0796 .0867 .1060 0 .0527 .0633 .1440

37 ......................... 1.0675 1.0738 .0968 0 1.0721 1.0677 .1001

38 ......................... .7857 .8613 1.0544 0 .5224 .6299 1.4331

Total ..................... 2.4787 2.5814 2.3223 1.0000 1.8490 2.3515 1.4569

NOTE.—The column industries are identified in appendix B, and the row industries are

identified in appendix C.

Each entry measures the change in output in each row industry that results from a $1

change in output delivered to final demand by the column industry. Each column total is

the sum of the entries in rows 1-37; these entries include earnings paid to households employed in industries 1-37. Each column total excludes the entry in row 38; this entry is the

sum of earnings paid to households. Column entries may not sum to totals due to rounding.
54 REGIONAL MULTIPLIERS

Table 2.4.—Total Multipliers for Output, Earnings, and Employment by Industry Aggregation

Jackson County, MO

Final-demand multiplier Direct-effect m

Output 1

(Dollars)

Earnings 2

(Dollars)

Employment 3

(Jobs)

Earnings 4

(Dollars)

E

(1) (2) (3) (4) 

Farm and agricultural services, forestry, and fishing:

Farm products and agricultural, forestry, and fishing services ................................. 1.7944 0.5693 57.6 1.4820 

Forestry and fishing products .................................................................................... 1.4646 .2058 10.5 2.6452 

Mining:

Coal mining ................................................................................................................ 1.0000 0 0 0 

Oil and gas extraction ................................................................................................ 1.4591 .1584 6.7 1.7424 

Metal mining and nonmetallic minerals, except fuels ............................................... 1.5680 .3337 12.6 1.6527 

Construction:

Construction ............................................................................................................... 1.8723 .4528 21.4 1.9280 

Manufacturing:

Food and kindred products and tobacco products .................................................... 1.5222 .2060 8.5 2.3723 

Textile mill products ................................................................................................... 1.4834 .2795 16.6 1.6702 

Apparel and other textile products ............................................................................ 1.4528 .2776 16.5 1.6071 

Paper and allied products .......................................................................................... 1.4647 .2763 10.7 1.6510 

Printing and publishing .............................................................................................. 1.6296 .3174 12.6 1.8263 

Chemicals and allied products and petroleum and coal products ............................ 1.6214 .2812 9.5 2.0873 

Rubber and miscellaneous plastics products and leather and leather products ...... 1.5946 .3112 14.5 1.7915 

Lumber and wood products and furniture and fixtures ............................................. 1.6863 .3702 17.6 1.7619 

Stone, clay, and glass products ................................................................................ 1.7749 .3348 14.0 2.0747 

Primary metal industries ............................................................................................ 1.7600 .3125 11.7 2.1557 

Fabricated metal products ......................................................................................... 1.7173 .3722 14.1 1.7836 

Industrial machinery and equipment ......................................................................... 1.7207 .3916 15.3 1.7314 

Electronic and other electric equipment .................................................................... 1.6214 .3334 13.9 1.7426 

Motor vehicles and equipment .................................................................................. 1.6967 .3160 10.7 2.0014 

Other transportation equipment ................................................................................. 1.5913 .3769 12.0 1.5801 

Instruments and related products .............................................................................. 1.6120 .3556 12.8 1.6637 

Miscellaneous manufacturing industries .................................................................... 1.7072 .3744 20.2 1.7844 

Transportation and public utilities: *

Transportation ............................................................................................................ 1.8649 .5455 22.3 1.6545 

Communications ........................................................................................................ 1.7956 .3262 10.8 2.0660 

Electric, gas, and sanitary services ........................................................................... 1.5292 .2176 7.5 2.0277 

Wholesale and retail trade:

Wholesale trade ......................................................................................................... 1.7245 .4446 17.3 1.6393 

Retail trade ................................................................................................................ 1.8285 .5281 33.8 1.5506 

Finance, insurance, and real estate:

Depository and nondepository institutions and security and commodity brokers ..... 2.0713 .5620 23.1 1.9347 

Insurance ................................................................................................................... 2.2921 .5846 23.2 2.2017 

Real estate ................................................................................................................ 1.3669 .0945 6.1 5.7340 

Services:

Hotels and other lodging places, amusement and recreation services, and motion

pictures ................................................................................................................... 2.0903 .5817 35.3 1.8397 

Personal services ...................................................................................................... 2.0362 .5768 41.5 1.7482 

Business services ...................................................................................................... 1.9597 .6355 30.3 1.6021 

Eating and drinking places ........................................................................................ 1.7608 .4157 35.9 1.6371 

Health services .......................................................................................................... 1.8793 .6052 25.1 1.4845 

Miscellaneous services .............................................................................................. 1.9062 .4247 24.3 1.9406 

Private households .................................................................................................... 1.0997 .2587 13.7 ...................... .

* Includes Federal Government enterprises.

1. Each entry in column 1 measures the total dollar change in output in all row industries that

results from a $1 change in output delivered to final demand by the industry corresponding to

the entry.

2. Each entry in column 2 measures the total dollar change in earnings of households employed

by all row industries that results from a $1 change in output delivered to final demand by the

industry corresponding to the entry.

3. Each entry in column 3 measures the total change in number of jobs in all row industries

that results from a $1 million change in output delivered to final demand by th

responding to the entry. Because the employment multipliers are based on 1992 d

delivered to final demand should be in 1992 dollars.

4. Each entry in column 4 measures the total dollar change in earnings of house

by all row industries that results from a $1 change in earnings paid directly to h

ployed by the industry corresponding to the entry.

5. Each entry in column 5 measures the total change in number of jobs in al

that results from a change of one job in the industry corresponding to the entry.
REGIONAL MULTIPLIERS 

Table 2.4.—Total Multipliers for Output, Earnings, and Employment by Industry Aggregation—Contin

Kansas City, MO-KS Metropolitan Area

Final-demand multiplier Direct-effect m

Output 1

(Dollars)

Earnings 2

(Dollars)

Employment 3

(Jobs)

Earnings 4

(Dollars)

E

(1) (2) (3) (4) 

Farm and agricultural services, forestry, and fishing:

Farm products and agricultural, forestry, and fishing services ................................. 2.1363 0.6123 42.4 2.0926 

Forestry and fishing products .................................................................................... 1.7180 .3255 20.4 3.2339 

Mining:

Coal mining ................................................................................................................ 1.0000 0 0 0 

Oil and gas extraction ................................................................................................ 1.5642 .2336 15.3 1.9865 

Metal mining and nonmetallic minerals, except fuels ............................................... 1.8199 .4938 20.2 1.9398 

Construction:

Construction ............................................................................................................... 2.2521 .6887 33.3 2.2660 

Manufacturing:

Food and kindred products and tobacco products .................................................... 2.0154 .3950 19.0 3.5390 

Textile mill products ................................................................................................... 1.6974 .3892 22.8 2.0687 

Apparel and other textile products ............................................................................ 1.6512 .4112 23.9 1.8517 

Paper and allied products .......................................................................................... 1.7074 .4182 17.1 1.9650 

Printing and publishing .............................................................................................. 1.8940 .4986 21.3 2.0931 

Chemicals and allied products and petroleum and coal products ............................ 1.8357 .4087 15.1 2.4798 

Rubber and miscellaneous plastics products and leather and leather products ...... 1.9662 .4913 22.3 2.2264 

Lumber and wood products and furniture and fixtures ............................................. 1.9772 .5556 27.3 2.0602 

Stone, clay, and glass products ................................................................................ 2.0127 .4994 21.3 2.3445 

Primary metal industries ............................................................................................ 2.0070 .4744 19.2 2.5448 

Fabricated metal products ......................................................................................... 2.0087 .5551 22.5 2.0880 

Industrial machinery and equipment ......................................................................... 1.9927 .5759 23.7 2.0130 

Electronic and other electric equipment .................................................................... 1.9033 .5209 22.5 2.0141 

Motor vehicles and equipment .................................................................................. 1.7921 .3443 13.0 2.8307 

Other transportation equipment ................................................................................. 1.9214 .5280 18.7 2.0030 

Instruments and related products .............................................................................. 1.8665 .5374 20.9 1.8972 

Miscellaneous manufacturing industries .................................................................... 1.9511 .5296 28.4 2.1032 

Transportation and public utilities: *

Transportation ............................................................................................................ 2.1793 .7167 30.4 2.0106 

Communications ........................................................................................................ 1.9948 .4760 17.2 2.3372 

Electric, gas, and sanitary services ........................................................................... 1.6890 .3371 12.7 2.3559 

Wholesale and retail trade:

Wholesale trade ......................................................................................................... 2.0276 .6605 27.5 1.8827 

Retail trade ................................................................................................................ 2.1561 .7749 49.3 1.7591 

Finance, insurance, and real estate:

Depository and nondepository institutions and security and commodity brokers ..... 2.4879 .8293 36.8 2.2942 

Insurance ................................................................................................................... 2.6027 .8503 35.7 2.4179 

Real estate ................................................................................................................ 1.4374 .1395 8.8 6.8454 

Services:

Hotels and other lodging places, amusement and recreation services, and motion

pictures ................................................................................................................... 2.3668 .7959 50.1 2.0633 

Personal services ...................................................................................................... 2.3700 .8355 59.3 1.9482 

Business services ...................................................................................................... 2.3783 .9184 45.2 1.8730 

Eating and drinking places ........................................................................................ 2.0982 .6267 50.7 1.9078 

Health services .......................................................................................................... 2.2912 .9003 38.9 1.7035 

Miscellaneous services .............................................................................................. 2.2065 .6257 36.3 2.2868 

Private households .................................................................................................... 1.3747 .4063 21.7 ...................... .

* Includes Federal Government enterprises.

1. Each entry in column 1 measures the total dollar change in output in all row industries that

results from a $1 change in output delivered to final demand by the industry corresponding to

the entry.

2. Each entry in column 2 measures the total dollar change in earnings of households employed

by all row industries that results from a $1 change in output delivered to final demand by the

industry corresponding to the entry.

3. Each entry in column 3 measures the total change in number of jobs in all row industries

that results from a $1 million change in output delivered to final demand by th

responding to the entry. Because the employment multipliers are based on 1992 d

delivered to final demand should be in 1992 dollars.

4. Each entry in column 4 measures the total dollar change in earnings of house

by all row industries that results from a $1 change in earnings paid directly to h

ployed by the industry corresponding to the entry.

5. Each entry in column 5 measures the total change in number of jobs in al

that results from a change of one job in the industry corresponding to the entry.
56 REGIONAL MULTIPLIERS

Table 2.4.—Total Multipliers for Output, Earnings, and Employment by Industry Aggregation—Contin

Kansas City, MO-KS Economic Area

Final-demand multiplier Direct-effect m

Output 1

(Dollars)

Earnings 2

(Dollars)

Employment 3

(Jobs)

Earnings 4

(Dollars)

E

(1) (2) (3) (4) 

Farm and agricultural services, forestry, and fishing:

Farm products and agricultural, forestry, and fishing services ................................. 2.6533 0.6479 43.1 2.9133 

Forestry and fishing products .................................................................................... 1.9748 .3783 23.5 3.7088 

Mining:

Coal mining ................................................................................................................ 1.8218 .5080 15.4 1.8689 

Oil and gas extraction ................................................................................................ 1.5807 .2391 15.6 2.0064 

Metal mining and nonmetallic minerals, except fuels ............................................... 1.8689 .5117 21.0 1.9655 

Construction:

Construction ............................................................................................................... 2.3270 .7122 34.4 2.3114 

Manufacturing:

Food and kindred products and tobacco products .................................................... 2.6498 .5265 27.4 4.9032 

Textile mill products ................................................................................................... 1.6891 .3851 22.7 2.0726 

Apparel and other textile products ............................................................................ 1.7359 .4302 25.0 1.9530 

Paper and allied products .......................................................................................... 1.7251 .4215 17.3 1.9943 

Printing and publishing .............................................................................................. 1.9207 .5086 21.8 2.1092 

Chemicals and allied products and petroleum and coal products ............................ 1.8983 .4244 15.8 2.5636 

Rubber and miscellaneous plastics products and leather and leather products ...... 2.0466 .5081 23.2 2.3103 

Lumber and wood products and furniture and fixtures ............................................. 2.0294 .5705 28.0 2.1081 

Stone, clay, and glass products ................................................................................ 2.0524 .5187 22.2 2.3529 

Primary metal industries ............................................................................................ 2.0308 .4913 19.9 2.5000 

Fabricated metal products ......................................................................................... 2.0989 .5762 23.4 2.1798 

Industrial machinery and equipment ......................................................................... 2.0785 .5955 24.6 2.0959 

Electronic and other electric equipment .................................................................... 1.9596 .5183 22.4 2.1379 

Motor vehicles and equipment .................................................................................. 1.9636 .3907 14.8 3.0353 

Other transportation equipment ................................................................................. 1.9878 .5345 19.2 2.1003 

Instruments and related products .............................................................................. 1.9246 .5534 21.7 1.9423 

Miscellaneous manufacturing industries .................................................................... 2.0076 .5450 29.1 2.1500 

Transportation and public utilities: *

Transportation ............................................................................................................ 2.2263 .7393 31.5 2.0200 

Communications ........................................................................................................ 2.0209 .4866 17.6 2.3470 

Electric, gas, and sanitary services ........................................................................... 1.7034 .3414 12.9 2.3892 

Wholesale and retail trade:

Wholesale trade ......................................................................................................... 2.0623 .6737 28.1 1.8949 

Retail trade ................................................................................................................ 2.1917 .7888 50.2 1.7669 

Finance, insurance, and real estate:

Depository and nondepository institutions and security and commodity brokers ..... 2.4733 .8177 36.3 2.2753 

Insurance ................................................................................................................... 2.6292 .8620 36.3 2.4143 

Real estate ................................................................................................................ 1.4322 .1371 8.6 7.0028 

Services:

Hotels and other lodging places, amusement and recreation services, and motion

pictures ................................................................................................................... 2.3923 .8017 50.4 2.0596 

Personal services ...................................................................................................... 2.4157 .8541 60.5 1.9549 

Business services ...................................................................................................... 2.4058 .9273 45.6 1.8729 

Eating and drinking places ........................................................................................ 2.2618 .6659 53.2 2.0005 

Health services .......................................................................................................... 2.3624 .9261 40.1 1.7256 

Miscellaneous services .............................................................................................. 2.2759 .6561 38.1 2.2691 

Private households .................................................................................................... 1.4576 .4272 22.9 ...................... .

* Includes Federal Government enterprises.

1. Each entry in column 1 measures the total dollar change in output in all row industries that

results from a $1 change in output delivered to final demand by the industry corresponding to

the entry.

2. Each entry in column 2 measures the total dollar change in earnings of households employed

by all row industries that results from a $1 change in output delivered to final demand by the

industry corresponding to the entry.

3. Each entry in column 3 measures the total change in number of jobs in all row industries

that results from a $1 million change in output delivered to final demand by th

responding to the entry. Because the employment multipliers are based on 1992 d

delivered to final demand should be in 1992 dollars.

4. Each entry in column 4 measures the total dollar change in earnings of house

by all row industries that results from a $1 change in earnings paid directly to h

ployed by the industry corresponding to the entry.

5. Each entry in column 5 measures the total change in number of jobs in al

that results from a change of one job in the industry corresponding to the entry.
Appendix E:

BEA Economic Areas
60 REGIONAL MULTIPLIERS

BEA Economic Areas and Associated Metropolitan Areas

Code Area name

001 Bangor, ME

Bangor, ME (NECMA)

002 Portland, ME

Lewiston–Auburn, ME (NECMA)

Portland, ME (NECMA)

003 Boston–Worcester–Lawrence–Lowell–Brockton, MA–NH–RI–VT

Barnstable–Yarmouth, MA (NECMA)

Boston–Worcester–Lawrence–Lowell–Brockton, MA–NH (NECMA)

Providence–Warwick–Pawtucket, RI (NECMA)

004 Burlington, VT–NY

Burlington, VT (NECMA)

005 Albany–Schenectady–Troy, NY

Albany–Schenectady–Troy, NY

Glens Falls, NY

006 Syracuse, NY–PA

Binghamton, NY

Syracuse, NY

Utica–Rome, NY

007 Rochester, NY–PA

Elmira, NY

Rochester, NY

008 Buffalo–Niagara Falls, NY–PA

Buffalo–Niagara Falls, NY

Jamestown, NY

009 State College, PA

Altoona, PA

Johnstown, PA

State College, PA

010 New York–Northern New Jersey–Long Island, NY–NJ–CT–PA–MA–VT

Allentown–Bethlehem–Easton, PA

Bergen–Passaic, NJ (PMSA)

Dutchess County, NY (PMSA)

Hartford, CT (NECMA)

Jersey City, NJ (PMSA)

Middlesex–Somerset–Hunterdon, NJ (PMSA)

Monmouth–Ocean, NJ (PMSA)

Nassau–Suffolk, NY (PMSA)

New Haven–Bridgeport–Stamford–Danbury–Waterbury, CT (PMSA)

New London–Norwich, CT (NECMA)

New York, NY (PMSA)

Newark, NJ (PMSA)

Newburgh, NY–PA (PMSA)

Pittsfield, MA (NECMA)

Scranton–Wilkes-Barre–Hazleton, PA

Springfield, MA (NECMA)

Trenton, NJ (PMSA)

Williamsport, PA

011 Harrisburg–Lebanon–Carlisle, PA

Harrisburg–Lebanon–Carlisle, PA

York, PA

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

Atlantic–Cape May, NJ (PMSA)

Dover, DE

Lancaster, PA

Philadelphia, PA–NJ (PMSA)

Reading, PA

Vineland–Millville–Bridgeton, NJ (PMSA)

Wilmington–Newark, DE–MD (PMSA)

013 Washington–Baltimore, DC–MD–VA–WV–PA

Baltimore, MD (PMSA)

Cumberland, MD–WV

Hagerstown, MD (PMSA)

Washington, DC–MD–VA–WV (PMSA)

014 Salisbury, MD–DE–VA

015 Richmond–Petersburg, VA

Charlottesville, VA

Richmond–Petersburg, VA

016 Staunton, VA–WV

017 Roanoke, VA–NC–WV

Lynchburg, VA

Roanoke, VA

018 Greensboro–Winston-Salem–High Point, NC–VA

Danville, VA

Greensboro–Winston-Salem–High Point, NC

019 Raleigh–Durham–Chapel Hill, NC

Raleigh–Durham–Chapel Hill, NC

Rocky Mount, NC

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

Norfolk–Virginia Beach–Newport News, VA–NC

021 Greenville, NC

Goldsboro, NC

Greenville, NC

Jacksonville, NC

022 Fayetteville, NC

Code Area name

Fayetteville, NC

023 Charlotte–Gastonia–Rock Hill, NC–SC

Charlotte–Gastonia–Rock Hill, NC–SC

024 Columbia, SC

Columbia, SC

Sumter, SC

025 Wilmington, NC–SC

Florence, SC

Myrtle Beach, SC

Wilmington, NC

026 Charleston–North Charleston, SC

Charleston–North Charleston, SC

027 Augusta–Aiken, GA–SC

Augusta–Aiken, GA–SC

028 Savannah, GA–SC

Savannah, GA

029 Jacksonville, FL–GA

Gainesville, FL

Jacksonville, FL

030 Orlando, FL

Daytona Beach, FL

Lakeland–Winter Haven, FL

Melbourne–Titusville–Palm Bay, FL

Ocala, FL

Orlando, FL

031 Miami–Fort Lauderdale, FL

Fort Lauderdale, FL (PMSA)

Fort Pierce–Port St. Lucie, FL

Miami, FL (PMSA)

West Palm Beach–Boca Raton, FL

032 Fort Myers–Cape Coral, FL

Fort Myers–Cape Coral, FL

Naples, FL

033 Sarasota–Bradenton, FL

Punta Gorda, FL

Sarasota–Bradenton, FL

034 Tampa–St. Petersburg–Clearwater, FL

Tampa–St. Petersburg–Clearwater, FL

035 Tallahassee, FL–GA

Panama City, FL

Tallahassee, FL

036 Dothan, AL–FL–GA

Dothan, AL

037 Albany, GA

Albany, GA

038 Macon, GA

Macon, GA

039 Columbus, GA–AL

Columbus, GA–AL

040 Atlanta, GA–AL–NC

Athens, GA

Atlanta, GA

041 Greenville–Spartanburg–Anderson, SC–NC

Greenville–Spartanburg–Anderson, SC

042 Asheville, NC

Asheville, NC

043 Chattanooga, TN–GA

Chattanooga, TN–GA

044 Knoxville, TN

Knoxville, TN

045 Johnson City–Kingsport–Bristol, TN–VA

Johnson City–Kingsport–Bristol, TN–VA

046 Hickory–Morganton, NC–TN

Hickory–Morganton–Lenoir, NC

047 Lexington, KY–TN–VA–WV

Lexington, KY

048 Charleston, WV–KY–OH

Charleston, WV

Huntington–Ashland, WV–KY–OH

Parkersburg–Marietta, WV–OH

049 Cincinnati–Hamilton, OH–KY–IN

Cincinnati, OH–KY–IN (PMSA)

Hamilton–Middletown, OH (PMSA)

050 Dayton–Springfield, OH

Dayton–Springfield, OH

051 Columbus, OH

Columbus, OH

052 Wheeling, WV–OH

Steubenville–Weirton, OH–WV

Wheeling, WV–OH

See note at end of table.
60 REGIONAL MULTIPLIERS

BEA Economic Areas and Associated Metropolitan Areas

Code Area name

001 Bangor, ME

Bangor, ME (NECMA)

002 Portland, ME

Lewiston–Auburn, ME (NECMA)

Portland, ME (NECMA)

003 Boston–Worcester–Lawrence–Lowell–Brockton, MA–NH–RI–VT

Barnstable–Yarmouth, MA (NECMA)

Boston–Worcester–Lawrence–Lowell–Brockton, MA–NH (NECMA)

Providence–Warwick–Pawtucket, RI (NECMA)

004 Burlington, VT–NY

Burlington, VT (NECMA)

005 Albany–Schenectady–Troy, NY

Albany–Schenectady–Troy, NY

Glens Falls, NY

006 Syracuse, NY–PA

Binghamton, NY

Syracuse, NY

Utica–Rome, NY

007 Rochester, NY–PA

Elmira, NY

Rochester, NY

008 Buffalo–Niagara Falls, NY–PA

Buffalo–Niagara Falls, NY

Jamestown, NY

009 State College, PA

Altoona, PA

Johnstown, PA

State College, PA

010 New York–Northern New Jersey–Long Island, NY–NJ–CT–PA–MA–VT

Allentown–Bethlehem–Easton, PA

Bergen–Passaic, NJ (PMSA)

Dutchess County, NY (PMSA)

Hartford, CT (NECMA)

Jersey City, NJ (PMSA)

Middlesex–Somerset–Hunterdon, NJ (PMSA)

Monmouth–Ocean, NJ (PMSA)

Nassau–Suffolk, NY (PMSA)

New Haven–Bridgeport–Stamford–Danbury–Waterbury, CT (PMSA)

New London–Norwich, CT (NECMA)

New York, NY (PMSA)

Newark, NJ (PMSA)

Newburgh, NY–PA (PMSA)

Pittsfield, MA (NECMA)

Scranton–Wilkes-Barre–Hazleton, PA

Springfield, MA (NECMA)

Trenton, NJ (PMSA)

Williamsport, PA

011 Harrisburg–Lebanon–Carlisle, PA

Harrisburg–Lebanon–Carlisle, PA

York, PA

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

Atlantic–Cape May, NJ (PMSA)

Dover, DE

Lancaster, PA

Philadelphia, PA–NJ (PMSA)

Reading, PA

Vineland–Millville–Bridgeton, NJ (PMSA)

Wilmington–Newark, DE–MD (PMSA)

013 Washington–Baltimore, DC–MD–VA–WV–PA

Baltimore, MD (PMSA)

Cumberland, MD–WV

Hagerstown, MD (PMSA)

Washington, DC–MD–VA–WV (PMSA)

014 Salisbury, MD–DE–VA

015 Richmond–Petersburg, VA

Charlottesville, VA

Richmond–Petersburg, VA

016 Staunton, VA–WV

017 Roanoke, VA–NC–WV

Lynchburg, VA

Roanoke, VA

018 Greensboro–Winston-Salem–High Point, NC–VA

Danville, VA

Greensboro–Winston-Salem–High Point, NC

019 Raleigh–Durham–Chapel Hill, NC

Raleigh–Durham–Chapel Hill, NC

Rocky Mount, NC

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

Norfolk–Virginia Beach–Newport News, VA–NC

021 Greenville, NC

Goldsboro, NC

Greenville, NC

Jacksonville, NC

022 Fayetteville, NC

Code Area name

Fayetteville, NC

023 Charlotte–Gastonia–Rock Hill, NC–SC

Charlotte–Gastonia–Rock Hill, NC–SC

024 Columbia, SC

Columbia, SC

Sumter, SC

025 Wilmington, NC–SC

Florence, SC

Myrtle Beach, SC

Wilmington, NC

026 Charleston–North Charleston, SC

Charleston–North Charleston, SC

027 Augusta–Aiken, GA–SC

Augusta–Aiken, GA–SC

028 Savannah, GA–SC

Savannah, GA

029 Jacksonville, FL–GA

Gainesville, FL

Jacksonville, FL

030 Orlando, FL

Daytona Beach, FL

Lakeland–Winter Haven, FL

Melbourne–Titusville–Palm Bay, FL

Ocala, FL

Orlando, FL

031 Miami–Fort Lauderdale, FL

Fort Lauderdale, FL (PMSA)

Fort Pierce–Port St. Lucie, FL

Miami, FL (PMSA)

West Palm Beach–Boca Raton, FL

032 Fort Myers–Cape Coral, FL

Fort Myers–Cape Coral, FL

Naples, FL

033 Sarasota–Bradenton, FL

Punta Gorda, FL

Sarasota–Bradenton, FL

034 Tampa–St. Petersburg–Clearwater, FL

Tampa–St. Petersburg–Clearwater, FL

035 Tallahassee, FL–GA

Panama City, FL

Tallahassee, FL

036 Dothan, AL–FL–GA

Dothan, AL

037 Albany, GA

Albany, GA

038 Macon, GA

Macon, GA

039 Columbus, GA–AL

Columbus, GA–AL

040 Atlanta, GA–AL–NC

Athens, GA

Atlanta, GA

041 Greenville–Spartanburg–Anderson, SC–NC

Greenville–Spartanburg–Anderson, SC

042 Asheville, NC

Asheville, NC

043 Chattanooga, TN–GA

Chattanooga, TN–GA

044 Knoxville, TN

Knoxville, TN

045 Johnson City–Kingsport–Bristol, TN–VA

Johnson City–Kingsport–Bristol, TN–VA

046 Hickory–Morganton, NC–TN

Hickory–Morganton–Lenoir, NC

047 Lexington, KY–TN–VA–WV

Lexington, KY

048 Charleston, WV–KY–OH

Charleston, WV

Huntington–Ashland, WV–KY–OH

Parkersburg–Marietta, WV–OH

049 Cincinnati–Hamilton, OH–KY–IN

Cincinnati, OH–KY–IN (PMSA)

Hamilton–Middletown, OH (PMSA)

050 Dayton–Springfield, OH

Dayton–Springfield, OH

051 Columbus, OH

Columbus, OH

052 Wheeling, WV–OH

Steubenville–Weirton, OH–WV

Wheeling, WV–OH

See note at end of table.
REGIONAL MULTIPLIERS 

BEA Economic Areas and Associated Metropolitan Areas—Continued

Code Area name

053 Pittsburgh, PA–WV

Pittsburgh, PA

054 Erie, PA

Erie, PA

055 Cleveland–Akron, OH–PA

Akron, OH (PMSA)

Canton–Massillon, OH

Cleveland–Lorain–Elyria, OH (PMSA)

Mansfield, OH

Sharon, PA

Youngstown–Warren, OH

056 Toledo, OH

Lima, OH

Toledo, OH

057 Detroit–Ann Arbor–Flint, MI

Ann Arbor, MI (PMSA)

Detroit, MI (PMSA)

Flint, MI (PMSA)

Jackson, MI

Lansing–East Lansing, MI

Saginaw–Bay City–Midland, MI

058 Northern Michigan, MI

059 Green Bay, WI–MI

Green Bay, WI

060 Appleton–Oshkosh–Neenah, WI

Appleton–Oshkosh–Neenah, WI

061 Traverse City, MI

062 Grand Rapids–Muskegon–Holland, MI

Grand Rapids–Muskegon–Holland, MI

Kalamazoo–Battle Creek, MI

063 Milwaukee–Racine, WI

Milwaukee–Waukesha, WI (PMSA)

Racine, WI (PMSA)

Sheboygan, WI

064 Chicago–Gary–Kenosha, IL–IN–WI

Bloomington–Normal, IL

Chicago, IL (PMSA)

Gary, IN (PMSA)

Janesville–Beloit, WI

Kankakee, IL (PMSA)

Kenosha, WI (PMSA)

Rockford, IL

065 Elkhart–Goshen, IN–MI

Benton Harbor, MI

Elkhart–Goshen, IN

South Bend, IN

066 Fort Wayne, IN

Fort Wayne, IN

067 Indianapolis, IN–IL

Bloomington, IN

Indianapolis, IN

Kokomo, IN

Lafayette, IN

Muncie, IN

Terre Haute, IN

068 Champaign–Urbana, IL

Champaign–Urbana, IL

Decatur, IL

069 Evansville–Henderson, IN–KY–IL

Evansville–Henderson, IN–KY

Owensboro, KY

070 Louisville, KY–IN

Louisville, KY–IN

071 Nashville, TN–KY

Clarksville–Hopkinsville, TN–KY

Nashville, TN

072 Paducah, KY–IL

073 Memphis, TN–AR–MS–KY

Jackson, TN

Memphis, TN–AR–MS

074 Huntsville, AL–TN

Decatur, AL

Florence, AL

Gadsden, AL

Huntsville, AL

075 Tupelo, MS–AL–TN

076 Greenville, MS

077 Jackson, MS–AL–LA

Hattiesburg, MS

Jackson, MS

078 Birmingham, AL

Anniston, AL

Birmingham, AL

Code Area name

Tuscaloosa, AL

079 Montgomery, AL

Montgomery, AL

080 Mobile, AL

Mobile, AL

081 Pensacola, FL

Fort Walton Beach, FL

Pensacola, FL

082 Biloxi–Gulfport–Pascagoula, MS

Biloxi–Gulfport–Pascagoula, MS

083 New Orleans, LA–MS

Houma, LA

New Orleans, LA

084 Baton Rouge, LA–MS

Baton Rouge, LA

085 Lafayette, LA

Lafayette, LA

086 Lake Charles, LA

Alexandria, LA

Lake Charles, LA

087 Beaumont–Port Arthur, TX

Beaumont–Port Arthur, TX

088 Shreveport–Bossier City, LA–AR

Shreveport–Bossier City, LA

089 Monroe, LA

Monroe, LA

090 Little Rock–North Little Rock, AR

Little Rock–North Little Rock, AR

Pine Bluff, AR

091 Fort Smith, AR–OK

Fort Smith, AR–OK

092 Fayetteville–Springdale–Rogers, AR–MO–OK

Fayetteville–Springdale–Rogers, AR

093 Joplin, MO–KS–OK

Joplin, MO

094 Springfield, MO

Springfield, MO

095 Jonesboro, AR–MO

Jonesboro, AR

096 St. Louis, MO–IL

St. Louis, MO–IL

097 Springfield, IL–MO

Springfield, IL

098 Columbia, MO

Columbia, MO

099 Kansas City, MO–KS

Kansas City, MO–KS

Lawrence, KS

St. Joseph, MO

100 Des Moines, IA–IL–MO

Des Moines, IA

Waterloo–Cedar Falls, IA

101 Peoria–Pekin, IL

Peoria–Pekin, IL

102 Davenport–Moline–Rock Island, IA–IL

Davenport–Moline–Rock Island, IA–IL

103 Cedar Rapids, IA

Cedar Rapids, IA

Iowa City, IA

104 Madison, WI–IL–IA

Dubuque, IA

Madison, WI

105 La Crosse, WI–MN

La Crosse, WI–MN

106 Rochester, MN–IA–WI

Rochester, MN

107 Minneapolis–St. Paul, MN–WI–IA

Eau Claire, WI

Minneapolis–St. Paul, MN–WI

St. Cloud, MN

108 Wausau, WI

Wausau, WI

109 Duluth–Superior, MN–WI

Duluth–Superior, MN–WI

110 Grand Forks, ND–MN

Grand Forks, ND–MN

111 Minot, ND

112 Bismarck, ND–MT–SD

Bismarck, ND

See note at end of table.
62 REGIONAL MULTIPLIERS

BEA Economic Areas and Associated Metropolitan Areas—Continued

Code Area name

113 Fargo–Moorhead, ND–MN

Fargo–Moorhead, ND–MN

114 Aberdeen, SD

115 Rapid City, SD–MT–NE–ND

Rapid City, SD

116 Sioux Falls, SD–IA–MN–NE

Sioux Falls, SD

117 Sioux City, IA–NE–SD

Sioux City, IA–NE

118 Omaha, NE–IA–MO

Omaha, NE–IA

119 Lincoln, NE

Lincoln, NE

120 Grand Island, NE

121 North Platte, NE–CO

122 Wichita, KS–OK

Wichita, KS

123 Topeka, KS

Topeka, KS

124 Tulsa, OK–KS

Tulsa, OK

125 Oklahoma City, OK

Enid, OK

Lawton, OK

Oklahoma City, OK

126 Western Oklahoma, OK

127 Dallas–Fort Worth, TX–AR–OK

Dallas, TX (PMSA)

Fort Worth–Arlington, TX (PMSA)

Killeen–Temple, TX

Longview–Marshall, TX

Sherman–Denison, TX

Texarkana, TX–Texarkana, AR

Tyler, TX

Waco, TX

Wichita Falls, TX

128 Abilene, TX

Abilene, TX

129 San Angelo, TX

San Angelo, TX

130 Austin–San Marcos, TX

Austin–San Marcos, TX

131 Houston–Galveston–Brazoria, TX

Brazoria, TX (PMSA)

Bryan–College Station, TX

Galveston–Texas City, TX (PMSA)

Houston, TX (PMSA)

Victoria, TX

132 Corpus Christi, TX

Corpus Christi, TX

133 McAllen–Edinburg–Mission, TX

Brownsville–Harlingen–San Benito, TX

McAllen–Edinburg–Mission, TX

134 San Antonio, TX

Laredo, TX

San Antonio, TX

135 Odessa–Midland, TX

Odessa–Midland, TX

136 Hobbs, NM–TX

137 Lubbock, TX

Lubbock, TX

138 Amarillo, TX–NM

Amarillo, TX

139 Santa Fe, NM

Santa Fe, NM

140 Pueblo, CO–NM

Pueblo, CO

141 Denver–Boulder–Greeley, CO–KS–NE

Boulder–Longmont, CO (PMSA)

Colorado Springs, CO

Denver, CO (PMSA)

Fort Collins–Loveland, CO

Grand Junction, CO

Greeley, CO (PMSA)

142 Scottsbluff, NE–WY

143 Casper, WY–ID–UT

Casper, WY

Cheyenne, WY

144 Billings, MT–WY

Billings, MT

Code Area name

145 Great Falls, MT

Great Falls, MT

146 Missoula, MT

147 Spokane, WA–ID

Spokane, WA

148 Idaho Falls, ID–WY

Pocatello, ID

149 Twin Falls, ID

150 Boise City, ID–OR

Boise City, ID

151 Reno, NV–CA

Reno, NV

152 Salt Lake City–Ogden, UT–ID

Provo–Orem, UT

Salt Lake City–Ogden, UT

153 Las Vegas, NV–AZ–UT

Las Vegas, NV–AZ

154 Flagstaff, AZ–UT

Flagstaff, AZ–UT

155 Farmington, NM–CO

156 Albuquerque, NM–AZ

Albuquerque, NM

157 El Paso, TX–NM

El Paso, TX

Las Cruces, NM

158 Phoenix–Mesa, AZ–NM

Phoenix–Mesa, AZ

159 Tucson, AZ

Tucson, AZ

160 Los Angeles–Riverside–Orange County, CA–AZ

Bakersfield, CA

Los Angeles–Long Beach, CA (PMSA)

Orange County, CA (PMSA)

Riverside–San Bernardino, CA (PMSA)

San Luis Obispo–Atascadero–Paso Robles, CA

Santa Barbara–Santa Maria–Lompoc, CA

Ventura, CA (PMSA)

Yuma, AZ

161 San Diego, CA

San Diego, CA

162 Fresno, CA

Fresno, CA

Visalia–Tulare–Porterville, CA

163 San Francisco–Oakland–San Jose, CA

Merced, CA

Modesto, CA

Oakland, CA (PMSA)

Salinas, CA

San Francisco, CA (PMSA)

San Jose, CA (PMSA)

Santa Cruz–Watsonville, CA (PMSA)

Santa Rosa, CA (PMSA)

Stockton–Lodi, CA

Vallejo–Fairfield–Napa, CA (PMSA)

164 Sacramento–Yolo, CA

Chico–Paradise, CA

Sacramento, CA (PMSA)

Yolo, CA (PMSA)

Yuba City, CA

165 Redding, CA–OR

Redding, CA

166 Eugene–Springfield, OR–CA

Eugene–Springfield, OR

Medford–Ashland, OR

167 Portland–Salem, OR–WA

Portland–Vancouver, OR–WA (PMSA)

Salem, OR (PMSA)

168 Pendleton, OR–WA

169 Richland–Kennewick–Pasco, WA

Richland–Kennewick–Pasco, WA

Yakima, WA

170 Seattle–Tacoma–Bremerton, WA

Bellingham, WA

Bremerton, WA (PMSA)

Olympia, WA (PMSA)

Seattle–Bellevue–Everett, WA (PMSA)

Tacoma, WA (PMSA)

171 Anchorage, AK

Anchorage, AK

172 Honolulu, HI

Honolulu, HI

NOTE.—Codes are assigned beginning in northern Maine, continuing south to Florida, then north

to the Great Lakes, and continuing in a serpentine pattern to the West Coast. The metropolitan

areas associated with each BEA economic area are listed below the economic area name. Most

of these associated areas are Metropolitan Statistical Areas (MSA’s); those which are Primary Metropolitan Statistical Areas (PMSA’s) or New England County Metropolitan Statistical Areas

(NECMA’s) are noted in the list. Not all economic areas contain metropolitan areas.