HIGHLIGHTS

The statistics about older workers in

New Jersey in 2004 show this group’s

proportion of the state’s labor force has

increased. Changes in the size and

composition of age groups may affect

government program and policy

choices and the options available to

businesses. National projections indicate that the population 65 and older

will increase from about 1 in 8 people

to 1 in 5 people by 2030, so that older

workers will likely compose an increasingly larger proportion of each state’s

workforce.1 Whether, and in what industries, the large wave of workers born

during the Baby Boom of 1946 to 1964

are currently working may influence

their labor force behavior beyond traditional retirement ages. That is important information for firms planning for

the eventual loss of experienced workers and the payout of pensions. In

2004, the Baby Boom cohort was aged

40 to 58. 

This report uses data from the Local

Employment Dynamics (LED) program

to show the geographic distribution

and the economic dynamics among

private sector workers 55 and older

(also including some statistics on those

aged 45 to 54). It includes comparisons

among the counties (and county

U.S.Department of Commerce

Economics and Statistics Administration

U.S. CENSUS BUREAU

Issued May 2008

LED-OW04-NJ

The Geographic Distribution and

Characteristics of Older Workers 

in New Jersey: 2004

By 

Cynthia Taeuber

and 

Matthew R. Graham

Sponsored by the 

National Institute on Aging

National Institutes of Health

U.S. Department of Health 

and Human Services

Local Employment Dynamics

U S C E N S U S B U R E A U

Helping You Make Informed Decisions

1 U.S. Census Bureau, 2004. “U.S. Interim

Projections by Age, Sex, Race, and Hispanic

Origin,” <http://www.census.gov/ipc/www

/usinterimproj/natprojtab02a.xls>.

What’s in This Report?

HIGHLIGHTS

THE LOCAL EMPLOYMENT

DYNAMICS PROGRAM

SOURCES AND ACCURACY OF

THE ESTIMATES

CHARACTERISTICS AND

EMPLOYMENT DYNAMICS OF

OLDER WORKERS

Table 1— Percentage of Workers by Age

in Metropolitan Statistical

Areas in New Jersey: 2004

Figure 1— New Jersey Workforce by Age

Group: 1996 to 2004

Figure 2— Percentage of Workers 45 to

54 Years Old by County of

Workplace in New Jersey: 2004

Figure 3— Percentage of Workers 55 to

64 Years Old by County of

Workplace in New Jersey:

2004

Figure 4— Percentage of Workers 65

and Older by County of

Workplace in New Jersey:

2004

Figure 5— Percentage Change in

Number of Workers 55 and

Older by County of

Workplace in New Jersey:

2001 to 2004

ADDITIONAL RESOURCES 
2 The Geographic Distribution and Characteristics of Older Workers in New Jersey: 2004 U.S. Census Bureau

equivalents) and metropolitan

areas of New Jersey.2

Industries are classified according

to the North American Industry

Classification System (NAICS).

Because the Quarterly Workforce

Indicators (QWI) are updated every

3 months, the numbers in this

report may differ from the most

recent ones on the current LED Web

site, <http://lehd.did.census.gov>.

This report defines “older workers”

as those 55 and older. Information

is displayed for all workers by age

groups to facilitate comparisons

among workers and provide information about the potential characteristics of future older workers.

The characteristics and geographic

distribution throughout New Jersey

of three groups of older workers

are shown: those who may be

receiving pension income but who

are working (65 and older) and two

pre-retirement groups of workers

(those aged 45 to 54 and aged 55

to 64), who may start collecting

pensions and social security over

the next two decades. 

With the LED information, state

planners can monitor changes in

the workforce and emerging

trends. Detailed statistics about

workers by age in counties and

metropolitan areas of New Jersey

are available on the U.S. Census

Bureau’s Web site,

<http://www.census.gov>.

Following are highlights from the

detailed statistics.

Age Composition of the

Workforce

• None of the 21 counties in New

Jersey had 20.0 percent or more

of the total workforce that was

55 and older.

• Statewide, 16.6 percent of workers were 55 and older. The five

counties with the highest percentage of workers 55 and older

were:3

Percentage

County of workforce

Passaic . . . . . . . . . . . . . 18.4

Salem . . . . . . . . . . . . . . 18.4

Cumberland . . . . . . . . . . 18.0

Union . . . . . . . . . . . . . . 17.9

Cape May . . . . . . . . . . . 17.6

• Statewide, 4.0 percent of workers were 65 and older. The five

counties with the highest percentage of workers 65 and older

were:4

Percentage

County of workforce

Cape May . . . . . . . . . . . 6.0

Ocean . . . . . . . . . . . . . . 4.8

Passaic . . . . . . . . . . . . . 4.8

Cumberland . . . . . . . . . . 4.7

Bergen . . . . . . . . . . . . . . 4.4

• Of the 21 counties in New

Jersey, all 21 counties experienced an increase from 2001 to

2004 in the percentage of the

county workforce that was 55

and older. The largest increase

was in Salem County.

Industry Sectors With the

Highest Proportions of Older

Workers in 20045

• Statewide, among industry sectors that employed 100 or more

workers 55 and older, Mining

(NAICS 21) had the highest proportion of workers in this age

group. This sector did not have

the highest percentage of workers 55 and older in any individual county.

• Statewide, industry sectors with

more than 1 in 5 workers 55

and older that employed at least

100 or more workers from that

age group were:

Percentage

Industry of workforce

Mining . . . . . . . . . . . . . . 22.2

Manufacturing . . . . . . . . 21.1

Educational services . . . 21.0

Real estate and 

rental and leasing . . . . 20.8

• The industry sector with the

highest proportion of workers

65 and older in New Jersey was

Agriculture, Forestry, Fishing,

and Hunting (NAICS 11), with

8.6 percent.

Industry Sectors Most Likely

to Employ Older Workers 

in 2004

• Of the workers in the state 55

and older, 14.8 percent were

employed in Health Care and

Social Assistance (NAICS 62), the

highest proportion for that age

group of any industry sector in

the state. This industry was

ranked number one in 8 of 21

counties.

3 Counties with low employment (fewer

than 100 employees) in the 55-and-older age

group are not included in this list. 4 Counties with low employment (fewer

than 100 employees) in the 65-and-older age

group are not included in this list.

5 Sectors are groups of industries. For

more information, see

<http://www.census.gov/epcd/www

/naicsect.htm>.

2 Each of the 21 counties in New Jersey

are included in one of the state’s seven metropolitan statistical areas. Because there are

no nonmetropolitan areas in New Jersey,

this report will present its statistics in a

shortened format compared to other reports

in this series. The metropolitan and nonmetropolitan county classifications are based

on Census 2000. For definitions of specific

metropolitan statistical areas, see

<http://www.census.gov/population/www

/estimates/metroarea.html>.
U.S. Census Bureau The Geographic Distribution and Characteristics of Older Workers in New Jersey: 2004 3

Quarterly Job Gains and

Losses in 2004

• On average, for workers 55 to

64 years old, 24,221 jobs were

created quarterly and 26,902

jobs were lost quarterly. For

workers 65 and older, the numbers were 9,496 and 12,178,

respectively.

• The county with the largest

share of job gains for workers

55 to 64 years old was Bergen

County, with 12.4 percent. The

largest share of job losses for

such workers was also in Bergen

County, with 12.2 percent.

• The county with the largest

share of job gains for workers

65 and older was Bergen

County, with 12.6 percent. The

largest share of job losses for

such workers was also in Bergen

County, with 12.6 percent.

• The industry sector with the

largest gain in jobs for workers

55 to 64 years old was Retail

Trade (NAICS 44–45), with an

average of 2,937 jobs gained

per quarter at the state level.

The most jobs lost by that age

group were in Manufacturing

(NAICS 31–33), with an average

of 3,369 jobs lost per quarter at

the state level.

• The industry sector with the

largest gain in jobs for workers

65 and older was Administrative

and Support and Waste

Management and Remediation

Services (NAICS 56), with 1,293

jobs gained per quarter at the

state level. The most jobs lost

by that age group were also in

Administrative and Support and

Waste Management and

Remediation Services (NAICS

56), with 1,656 jobs lost per

quarter at the state level.

Average Earnings of Older

Workers in 2004

• Statewide, on average, workers

55 and older earned $4,380 a

month.

• Of industry sectors employing

at least 100 workers 55 and

older, the highest paying was

Management of Companies and

Enterprises (NAICS 55). Workers

in that sector earned, on average, $8,806 per month. The

lowest paying was

Accommodation and Food

Services (NAICS 72). Workers in

this sector earned, on average,

$1,908 per month. The following table shows statewide average monthly earnings in 2004

for full-quarter, private-sector

wage and salary workers 55 and

older by NAICS sector.

Earnings

Industry [dollars]

Management of companies 

and enterprises . . . . . . . . . 8,806

Utilities . . . . . . . . . . . . . . . . 7,156

Finance and insurance . . . . . 6,767

Professional, scientific, 

and technical services . . . . 6,653

Wholesale trade . . . . . . . . . . 5,769

Information . . . . . . . . . . . . . 5,425

Manufacturing . . . . . . . . . . . 5,201

Mining . . . . . . . . . . . . . . . . . 4,960

Construction . . . . . . . . . . . . 4,697

Educational services . . . . . . . 4,217

Real estate and rental 

and leasing . . . . . . . . . . . . 4,021

Health care and 

social assistance . . . . . . . . 3,893

Transportation and 

warehousing . . . . . . . . . . . 3,797

Administrative and support 

and waste management and

remediation services . . . . . 2,949

Other services (except 

public administration) . . . . 2,790

Retail trade . . . . . . . . . . . . . 2,753

Arts, entertainment, and 

recreation . . . . . . . . . . . . . 2,362

Agriculture, forestry, 

fishing, and hunting . . . . . 2,222

Accommodation and 

food services . . . . . . . . . . . 1,908
4 The Geographic Distribution and Characteristics of Older Workers in New Jersey: 2004 U.S. Census Bureau

THE LOCAL EMPLOYMENT

DYNAMICS PROGRAM

The LED Program is a partnership

between the Census Bureau and the

participating states. LED produces

QWI for each partner state, as well

as each partner state’s metropolitan

areas, combined nonmetropolitan

areas6

, counties, and Workforce

Investment Board areas. Quarterly

and annual averages are available at

<http://lehd.did.census.gov>.7

Overview

The QWI are measures of economic

characteristics and change selected

jointly by the Census Bureau and

its partner states. Each component

of the QWI provides a critical measure of an area’s economy and can

be used as a tool to better understand changes in the core performance of local economies. 

Listed in this report are figures and

data tables that show selected QWI

statistics on older workers.

Comprehensive summary data that

cover geographic areas and include

age and gender composition by

industry, total employment, net job

flows, job gains and job losses, separations, new hires, skill level (quarters of employment), and average

monthly earnings are available at

<http://lehd.did.census.gov>.

Nine months after a quarter ends,

the Census Bureau and its partners

update the workforce indicators for

that quarter. This provides current

and historical information about

the characteristics of America’s

workers and a tool to monitor economic change.8 The statistics are

comparable across time, making it

possible to identify emerging

workforce trends and turning

points and to compare geographic

areas and demographic groups

working in specific industries.

Industries are classified according

to the NAICS.

The QWI come from a mixture of

data sources, the base of which is a

census of jobs. The LED database

includes all jobs a worker holds and

allows multiple definitions of

“employment” in order to respond

to a wide variety of questions about

the workforce (see “Sources and

Accuracy of the Estimates” in the

following section). The definition of

“employment” in this report, unless

stated otherwise, is “beginning of

quarter” employment—that is, the

total number of workers who were

employed by the same employer in

the reference quarter and the previous quarter. 

As job-based statistics, the QWI are

not directly comparable with statistics from worker-based surveys

such as the decennial and economic censuses, the American

Community Survey, or the Current

Population Survey.9 Neither are the

QWI exactly comparable with data

from establishment surveys, such

as those from the U.S. Bureau of

Labor Statistics’ Quarterly Census

of Employment and Wages (QCEW)

program, which capture employment data at establishments on the

12th of the month. 

Throughout this report, “earnings”

refer only to the earnings of workers who were employed for a full

quarter—that is, those who were

employed by the same employer in

the reference, previous, and subsequent quarters. This earnings

measure reflects the earnings of

“attached” employees, generally

workers who worked for the same

employer for the whole quarter.

The measures of earnings from the

QWI are not directly comparable

with measures of earnings from

the Bureau of Labor Statistics.

QWI for partner states and

detailed information about

the LED program are available

without cost at

<http://lehd.did.census.gov>.

8 Because the QWI are updated quarterly,

the numbers in this report may differ from

the most recent ones, which are shown on

the current LED Web site. For the latest list of

partner states, see

<http://lehd.did.census.gov/led/led

/statepartners.html>. Additional states are in

the process of joining.

9 Information about the decennial census

is available at <http://www.census.gov/main

/www/cen2000.html>. American

Community Survey information is available

at <http://www.census.gov/acs/www>.

Information about economic censuses is

available at <http://www.census.gov/econ

/census02/>. 

6 There are no nonmetropolitan areas in

New Jersey. See footnote on page 2. 7 For more complete information on QWI,

see Abowd, John M., Bryce E. Stephens, Lars

Vilhuber, Fredrik Andersson, Kevin L.

McKinney, Marc Roemer, and Simon

Woodcock, 2005. The LEHD Infrastructure

Files and the Creation of the Quarterly

Workforce Indicators. LEHD Technical Paper,

TP-2006-01. U.S. Census Bureau,

Washington, DC. Available at

<http://lehd.did.census.gov/led/library

/techpapers/tp-2006-01.pdf>.
U.S. Census Bureau The Geographic Distribution and Characteristics of Older Workers in New Jersey: 2004 5

SOURCES AND ACCURACY

OF THE ESTIMATES

Because the QWI are job-based statistics, not the worker-based statistics familiar to many researchers,

the LED database allows multiple

definitions of “employment” and

can respond to a wide variety of

questions about the workforce.10

Sources

Enhanced unemployment insurance

(UI) wage records and the QCEW

are the basic data sources for the

QWI. These are administrative data

provided to the Census Bureau by

partner states. The QWI’s coverage,

timing of data collection, and concept definitions differ from those

in worker-based surveys, such as

the decennial and economic censuses, the American Community

Survey, and the Current Population

Survey. Also, QWI data are not

exactly comparable with Bureau of

Labor Statistics information, due to

timing differences.

Administrative data from these

sources almost certainly contain

nonsampling errors. The extent of

the nonsampling errors is

unknown. Sources of nonsampling

errors include errors made in data

collection, such as recording and

coding errors, errors made in processing the data, errors made in

estimating values for missing data,

and errors from failing to represent

all units within a target population

(undercoverage).

The LED program undertakes a

process of continuous monitoring

to attempt to control the nonsampling errors in the integrated data

that underlie the LED database. In

particular, identifiers on both the

UI wage records and the QCEW

records are subjected to

longitudinal editing every quarter.

A set of quality assurance tests is

applied to the integrated data.

These tests detect problems

known to cause nonsampling

errors—primarily, tests for missing

records of various types (based on

estimates of the number of

expected records from alternative

sources), tests for incomplete

wage or earnings information, and

tests for changes in the structure

of identifiers or entities. Problems

detected by these quality assurance tests are investigated and

corrected before data integration

and production of the QWI are

allowed to continue.11

Industries are based upon the

NAICS.

Coverage

This report covers civilian noninstitutionalized workers in the private

sector only. While this report does

not include federal government

workers, the complete QWI database does include most state and

local government employees. The

QWI database covers about 98 percent of nonagricultural, private

wage, salaried employment. The

remaining 2 percent of the nonagricultural, private wage, salaried

workers are railroad workers and

workers for some nonprofit organizations. Self-employed workers

and independent contractors are

not in the covered universe.12

Definitions

The LED database includes all jobs

held:

• In a quarter, regardless of the

length of time the job is held.

• At the beginning of a quarter—

the measure used in this report

(workers employed by the same

employer in the reference quarter and the previous quarter).

• At the end of a quarter.

• For a full quarter (total number

of workers who were employed

by the same employer in the reference, previous, and subsequent quarters). This measure is

used in this report for average

earnings because it reflects the

earnings of employees in more

stable jobs.

The measure that is closest to the

QCEW definition of employment is

the second one, jobs held at the

beginning of a quarter. This second

measure has the additional advantage of capturing trends similar to

those shown by worker-based surveys, such as the decennial census.

Annual figures are simple averages

with each quarter weighted

equally. There is no differential

weighting of averages for seasonal

industries, for example.

Earnings are measured differently

among the various datasets.

According to the BLS Handbook of

Methods (1997), UI wage records

measure “gross wages and salaries,

bonuses, stock options, tips, and

other gratuities, and the value of

meals and lodging, where supplied.” They do not include

amounts paid for Old-Age,

Survivors, and Disability Insurance

(OASDI), health insurance, workers’

compensation, unemployment

insurance, private pensions, and

welfare funds. The LED database

does not include the number of

hours or weeks an employee

worked. Thus, low average earnings in a given year or quarter in

an industry sector may reflect relatively low hourly wages, or many

part-time jobs, or both, as often

occurs in the retail trade sector. 

11 Technical documentation is available at

<http://lehd.did.census.gov>. 12 U.S. Census Bureau, David W. Stevens.

Employment That Is Not Covered by State

Unemployment. LEHD Technical Paper, TP2002-16. U.S. Census Bureau, Washington,

DC. Available at <http://lehd.did.census.gov

/led/library/techpapers/tp-2002-16.pdf>.

10 For the QWI, a “job” is defined as an

employer-employee pair among administrative datasets.
6 The Geographic Distribution and Characteristics of Older Workers in New Jersey: 2004 U.S. Census Bureau

Some large companies have multiple work sites but may report all

their workers at the company’s

main address. This creates a problem for the correct geographic distribution of the workers. LED uses

an imputation process to allocate

workers to geographic areas in

order to maintain appropriate distributions within the QWI dataset.

Confidentiality of information

about individuals and firms 

is protected.

The Census Bureau and the state

partners are committed to protecting the confidentiality of the data

used to create the LED estimates.

One technical approach used to

conceal individual information

involves combining cell suppression

methodology and statistical noise,

thereby controlling key measures to

county employment levels as

reported by the Bureau of Labor

Statistics. In other words, the

Census Bureau uses statistical techniques in which the actual statistics

are not shown if the numbers in a

cell are small. In addition, the statistics that are shown are “fuzzy,”

meaning close to the actual information but not exact.

Only Census Bureau employees

and individuals who have Special

Sworn Status are permitted to

work with the input data. Everyone

who has access to data protected

by Title 13 of the U.S. Code must

have an official security clearance

based on a background check,

including fingerprinting.13

Additionally, these individuals are

subject to a fine of up to $250,000,

up to 5 years in prison, or both, if

confidential information is disclosed.

The Census Bureau and the state

data custodians review all products

before release to avoid disclosure of

confidential information. 

More detailed information about

the confidentiality protection system is available under the

“Confidentiality” menu at

<http://lehd.did.census.gov>.

13 The Census Bureau’s Data Protection

and Privacy Policy, including information on

Title 13, is available at 

<http://www.census.gov/privacy>.
U.S. Census Bureau The Geographic Distribution and Characteristics of Older Workers in New Jersey: 2004 7

CHARACTERISTICS AND EMPLOYMENT DYNAMICS OF OLDER WORKERS

Table 1.

Percentage of Workers by Age in Metropolitan Statistical Areas in New Jersey: 2004

Area of workplace 45 to 54 years 55 to 64 years 65 to 99 years 55 to 99 years

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22.8 12.6 4.0 16.6

Allentown-Bethlehem-Easton, PA-NJ (NJ part) . . . . . . . . . . . . 24.1 13.1 3.6 16.7

Atlantic City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23.6 11.8 4.3 16.1

New York-Northern New Jersey-Long Island, NY-NJ-PA

(NJ part) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22.8 12.7 4.0 16.7

Ocean City, NJ. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.0 11.7 6.0 17.6

Philadelphia-Camden-Wilmington, PA-NJ-DE-MD

(NJ part) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22.0 11.9 3.9 15.9

Trenton-Ewing, NJ. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23.5 13.1 4.0 17.1

Vineland-Millville-Bridgeton, NJ . . . . . . . . . . . . . . . . . . . . . . . . . 22.2 13.3 4.7 18.0

All metropolitan areas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22.8 12.6 4.0 16.6

Note: Discrepancies may occur due to rounding.

Source: U.S. Census Bureau and the state of New Jersey, Local Employment Dynamics program, 2006. See

<http://lehd.did.census.gov>.

Beginning-of-quarter

employment

Total number of workers

employed by the same

employer in the reference

quarter and the previous

quarter.

Figure 1.

New Jersey Workforce by Age Group: 1996 to 2004

Note: Universe is all jobs identified by the LED program.

Source: U.S. Census Bureau and the state of New Jersey, Local Employment 

Dynamics program, 2006. See <http://lehd.did.census.gov>.

Percent of beginning-of-quarter employment

65+

14–44

45–54

55–64 

1996 1997 1998 1999 2000

0

10

20

30

40

50

60

70

80

90

100

Q2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4

2001 2002 2003 2004
8 The Geographic Distribution and Characteristics of Older Workers in New Jersey: 2004 U.S. Census Bureau

PENNSYLVANIA

NEW YORK

DELAWARE

OCEAN

SUSSEX

ATLANTIC

BURLINGTON

MORRIS

SALEM

WARREN

MONMOUTH

CUMBERLAND

HUNTERDON

BERGEN

MIDDLESEX

SOMERSET

MERCER

CAMDEN

CAPE

MAY

GLOUCESTER

PASSAIC

ESSEX

UNION

HUDSON

Spatial Data Source: U.S. Census Bureau, 2000.

Statistical Data Source: Longitudinal Employer-Household

Dynamics Program, U.S. Census Bureau, 2006.

Percentage of Workers

45 to 54 by County

Note: All boundaries and names 

are as of January 1, 2000.

STATE

COUNTY

23.6 to 26.4

23.1 to 23.5

22.3 to 23.0

19.9 to 22.2

0 10 20 30 40 50 Kilometers

0 10 20 30 40 50 Miles

Key values may not reflect

precise category breaks due

to rounding.

Figure 2. 

Percentage of Workers 45 to 54 Years Old by County of 

Workplace in New Jersey: 2004
U.S. Census Bureau The Geographic Distribution and Characteristics of Older Workers in New Jersey: 2004 9

PENNSYLVANIA

NEW YORK

DELAWARE

OCEAN

SUSSEX

ATLANTIC

BURLINGTON

MORRIS

SALEM

WARREN

MONMOUTH

CUMBERLAND

HUNTERDON

BERGEN

MIDDLESEX

SOMERSET

MERCER

CAMDEN

CAPE

MAY

GLOUCESTER

PASSAIC

ESSEX

UNION

HUDSON

Spatial Data Source: U.S. Census Bureau, 2000.

Statistical Data Source: Longitudinal Employer-Household

Dynamics Program, U.S. Census Bureau, 2006.

Percentage of Workers

55 to 64 by County

Note: All boundaries and names 

are as of January 1, 2000.

STATE

COUNTY

13.2 to 14.6

12.8 to 13.1

11.9 to 12.7

11.2 to 11.8

0 10 20 30 40 50 Kilometers

0 10 20 30 40 50 Miles

Key values may not reflect

precise category breaks due

to rounding.

Figure 3. 

Percentage of Workers 55 to 64 Years Old by County of 

Workplace in New Jersey: 2004
10 The Geographic Distribution and Characteristics of Older Workers in New Jersey: 2004 U.S. Census Bureau

PENNSYLVANIA

NEW YORK

DELAWARE

OCEAN

SUSSEX

ATLANTIC

BURLINGTON

MORRIS

SALEM

WARREN

MONMOUTH

CUMBERLAND

HUNTERDON

BERGEN

MIDDLESEX

SOMERSET

MERCER

CAMDEN

CAPE

MAY

GLOUCESTER

PASSAIC

ESSEX

UNION

HUDSON

Spatial Data Source: U.S. Census Bureau, 2000.

Statistical Data Source: Longitudinal Employer-Household

Dynamics Program, U.S. Census Bureau, 2006.

Percentage of Workers

65 and Older by County

Note: All boundaries and names 

are as of January 1, 2000.

STATE

COUNTY

4.4 to 6.0

4.1 to 4.3

3.7 to 4.0

3.2 to 3.6

0 10 20 30 40 50 Kilometers

0 10 20 30 40 50 Miles

Key values may not reflect

precise category breaks due

to rounding.

Figure 4. 

Percentage of Workers 65 and Older by County of 

Workplace in New Jersey: 2004
U.S. Census Bureau The Geographic Distribution and Characteristics of Older Workers in New Jersey: 2004 11

PENNSYLVANIA

NEW YORK

DELAWARE

OCEAN

SUSSEX

ATLANTIC

BURLINGTON

MORRIS

SALEM

WARREN

MONMOUTH

CUMBERLAND

HUNTERDON

BERGEN

MIDDLESEX

SOMERSET

MERCER

CAMDEN

CAPE

MAY

GLOUCESTER

PASSAIC

ESSEX

UNION

HUDSON

Spatial Data Source: U.S. Census Bureau, 2000.

Statistical Data Source: Longitudinal Employer-Household

Dynamics Program, U.S. Census Bureau, 2006.

0 10 20 30 40 50 Kilometers

0 10 20 30 40 50 Miles

Percentage Change in Number

of Workers 55 and Older,

From 2001 to 2004

Note: All boundaries and names 

are as of January 1, 2000.

STATE

COUNTY

18.7 to 26.2

12.9 to 18.6

9.3 to 12.8

2.5 to 9.2

Key values may not reflect

precise category breaks due

to rounding.

Figure 5. 

Percentage Change in Number of Workers 55 and Older by 

County of Workplace in New Jersey: 2001 to 2004
12 The Geographic Distribution and Characteristics of Older Workers in New Jersey: 2004 U.S. Census Bureau

ADDITIONAL RESOURCES

Other data tables with information

about older workers are available

for download from the LED Web site

in a comma-separated value (.csv)

format. Brief descriptions of the

available tables are given below.

See <http://lehd.did.census.gov>

for additional details.

Characteristics and

Employment Dynamics of

Older Workers

Age composition

A series of tables shows absolute

and relative shares of older workers

disaggregated into four standard

age ranges. The county and metropolitan statistical area aggregation

levels are presented for 2004.

Industry sectors with a high

proportion of older workers

Two tables contain data on the top

five industry sectors for older

workers in 2004 at the county and

metropolitan statistical area aggregation levels.

Most likely industry sectors of

employment for older workers

A table contains the top five industry sectors most likely to employ

workers 55 and older. The aggregation level is the county of workplace for 2004.

Job gains and losses

A series of tables displays gains,

losses, and net changes in jobs for

older workers disaggregated into

four standard age ranges. The

aggregation level is the workplace

county for 2004.

Average monthly earnings of 

older workers

A series of tables displays average

monthly earnings for workers 55

and older across industry sectors

and aggregated at the county and

metropolitan statistical area levels.

An additional table presents earnings across the four standard age

ranges. 

Appendix tables

These tables contain all remaining

datasets—aggregated by county

and metropolitan statistical area

and organized by industry and

age. Notable data include: employment totals for 2001 to 2004,

quarterly job loss/gain composition for 2004, and average

monthly earnings and employment

by Workforce Investment Areas.

ACKNOWLEDGMENTS

Research for and production of this

report was supported under an

interagency agreement with the

Behavioral and Social Research

Program, National Institute on

Aging, Agreement No. Y1-AG-9415-

07, and under Grant No. R01-

AG018854.

Thanks to Heath Hayward for production of the state maps. Also,

thanks to Liliana Sousa, Corinne

Prost, and Matthew Armstrong for

assistance in the statistical analysis.

MORE INFORMATION

This report is one of a series 

of reports on older workers in

states in the LED partnership.

Additional tables of data and other

detailed information can be found

at the LED Web site, 

<http://lehd.did.census.gov>.

Other data tools and applications,

such as QWI Online and

OnTheMap, based upon LED

partnership data, can also be

found on the LED Web site.

SUGGESTED CITATION

Taeuber, Cynthia and Matthew R.

Graham, 2008. The Geographic

Distribution and Characteristics of

Older Workers in New Jersey:

2004. LED Older Workers Profile,

LED-OW04-NJ. U.S. Census Bureau,

Washington, DC.