The Geographic Distribution and Characteristics of Older ...National projections indi-cate that the population 65 and older will increase from about 1 in 8 people to 1 in 5 people

HIGHLIGHTS

The statistics about older workers inNew Jersey in 2004 show this group’sproportion of the state’s labor force hasincreased. Changes in the size andcomposition of age groups may affectgovernment program and policychoices and the options available tobusinesses. National projections indi-cate that the population 65 and olderwill increase from about 1 in 8 peopleto 1 in 5 people by 2030, so that olderworkers will likely compose an increas-ingly larger proportion of each state’sworkforce.1 Whether, and in what indus-tries, the large wave of workers bornduring the Baby Boom of 1946 to 1964are currently working may influencetheir labor force behavior beyond tradi-tional retirement ages. That is impor-tant information for firms planning forthe eventual loss of experienced work-ers and the payout of pensions. In2004, the Baby Boom cohort was aged40 to 58.

This report uses data from the LocalEmployment Dynamics (LED) programto show the geographic distributionand the economic dynamics amongprivate sector workers 55 and older(also including some statistics on thoseaged 45 to 54). It includes comparisonsamong the counties (and county

U.S.Department of CommerceEconomics and Statistics Administration

U.S. CENSUS BUREAU

Issued May 2008

LED-OW04-NJ

The Geographic Distribution andCharacteristics of Older Workers in New Jersey: 2004

By Cynthia Taeuberand Matthew R. Graham

Sponsored by the National Institute on AgingNational Institutes of HealthU.S. Department of Health and Human Services

Local Employment Dynamics

U S C E N S U S B U R E A UHelping You Make Informed Decisions

1 U.S. Census Bureau, 2004. “U.S. InterimProjections by Age, Sex, Race, and HispanicOrigin,” <http://www.census.gov/ipc/www/usinterimproj/natprojtab02a.xls>.

What’s in This Report?

HIGHLIGHTS

THE LOCAL EMPLOYMENTDYNAMICS PROGRAM

SOURCES AND ACCURACY OFTHE ESTIMATES

CHARACTERISTICS ANDEMPLOYMENT DYNAMICS OFOLDER WORKERS

Table 1— Percentage of Workers by Agein Metropolitan StatisticalAreas in New Jersey: 2004

Figure 1— New Jersey Workforce by AgeGroup: 1996 to 2004

Figure 2— Percentage of Workers 45 to54 Years Old by County ofWorkplace in New Jersey: 2004

Figure 3— Percentage of Workers 55 to64 Years Old by County ofWorkplace in New Jersey:2004

Figure 4— Percentage of Workers 65and Older by County ofWorkplace in New Jersey:2004

Figure 5— Percentage Change inNumber of Workers 55 andOlder by County ofWorkplace 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 metropolitanareas of New Jersey.2

Industries are classified accordingto the North American IndustryClassification System (NAICS).Because the Quarterly WorkforceIndicators (QWI) are updated every3 months, the numbers in thisreport may differ from the mostrecent ones on the current LED Website, <http://lehd.did.census.gov>.

This report defines “older workers”as those 55 and older. Informationis displayed for all workers by agegroups to facilitate comparisonsamong workers and provide infor-mation about the potential charac-teristics of future older workers.The characteristics and geographicdistribution throughout New Jerseyof three groups of older workersare shown: those who may bereceiving pension income but whoare working (65 and older) and twopre-retirement groups of workers(those aged 45 to 54 and aged 55to 64), who may start collectingpensions and social security overthe next two decades.

With the LED information, stateplanners can monitor changes inthe workforce and emergingtrends. Detailed statistics aboutworkers by age in counties andmetropolitan areas of New Jerseyare available on the U.S. CensusBureau’s Web site,<http://www.census.gov>.

Following are highlights from thedetailed statistics.

Age Composition of theWorkforce

• None of the 21 counties in NewJersey had 20.0 percent or moreof the total workforce that was55 and older.

• Statewide, 16.6 percent of work-ers were 55 and older. The fivecounties with the highest per-centage of workers 55 and olderwere: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 work-ers were 65 and older. The fivecounties with the highest per-centage of workers 65 and olderwere: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 NewJersey, all 21 counties experi-enced an increase from 2001 to2004 in the percentage of thecounty workforce that was 55and older. The largest increasewas in Salem County.

Industry Sectors With theHighest Proportions of OlderWorkers in 20045

• Statewide, among industry sec-tors that employed 100 or moreworkers 55 and older, Mining(NAICS 21) had the highest pro-portion of workers in this agegroup. This sector did not havethe highest percentage of work-ers 55 and older in any individ-ual county.

• Statewide, industry sectors withmore than 1 in 5 workers 55and older that employed at least100 or more workers from thatage 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 thehighest proportion of workers65 and older in New Jersey wasAgriculture, Forestry, Fishing,and Hunting (NAICS 11), with8.6 percent.

Industry Sectors Most Likelyto Employ Older Workers in 2004

• Of the workers in the state 55and older, 14.8 percent wereemployed in Health Care andSocial Assistance (NAICS 62), thehighest proportion for that agegroup of any industry sector inthe state. This industry wasranked number one in 8 of 21counties.

3 Counties with low employment (fewerthan 100 employees) in the 55-and-older agegroup are not included in this list.

4 Counties with low employment (fewerthan 100 employees) in the 65-and-older agegroup are not included in this list.

5 Sectors are groups of industries. Formore information, see<http://www.census.gov/epcd/www/naicsect.htm>.

2 Each of the 21 counties in New Jerseyare included in one of the state’s seven met-ropolitan statistical areas. Because there areno nonmetropolitan areas in New Jersey,this report will present its statistics in ashortened format compared to other reportsin this series. The metropolitan and non-metropolitan county classifications are basedon Census 2000. For definitions of specificmetropolitan 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 andLosses in 2004

• On average, for workers 55 to64 years old, 24,221 jobs werecreated quarterly and 26,902jobs were lost quarterly. Forworkers 65 and older, the num-bers were 9,496 and 12,178,respectively.

• The county with the largestshare of job gains for workers55 to 64 years old was BergenCounty, with 12.4 percent. Thelargest share of job losses forsuch workers was also in BergenCounty, with 12.2 percent.

• The county with the largestshare of job gains for workers65 and older was BergenCounty, with 12.6 percent. Thelargest share of job losses forsuch workers was also in BergenCounty, with 12.6 percent.

• The industry sector with thelargest gain in jobs for workers55 to 64 years old was RetailTrade (NAICS 44–45), with anaverage of 2,937 jobs gainedper quarter at the state level.The most jobs lost by that agegroup were in Manufacturing(NAICS 31–33), with an averageof 3,369 jobs lost per quarter atthe state level.

• The industry sector with thelargest gain in jobs for workers65 and older was Administrativeand Support and WasteManagement and RemediationServices (NAICS 56), with 1,293jobs gained per quarter at thestate level. The most jobs lostby that age group were also inAdministrative and Support andWaste Management andRemediation Services (NAICS56), with 1,656 jobs lost perquarter at the state level.

Average Earnings of OlderWorkers in 2004

• Statewide, on average, workers55 and older earned $4,380 amonth.

• Of industry sectors employingat least 100 workers 55 andolder, the highest paying wasManagement of Companies andEnterprises (NAICS 55). Workersin that sector earned, on aver-age, $8,806 per month. Thelowest paying wasAccommodation and FoodServices (NAICS 72). Workers inthis sector earned, on average,$1,908 per month. The follow-ing table shows statewide aver-age monthly earnings in 2004for full-quarter, private-sectorwage and salary workers 55 andolder 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


THE LOCAL EMPLOYMENTDYNAMICS PROGRAM

The LED Program is a partnershipbetween the Census Bureau and theparticipating states. LED producesQWI for each partner state, as wellas each partner state’s metropolitanareas, combined nonmetropolitanareas6, counties, and WorkforceInvestment Board areas. Quarterlyand annual averages are available at<http://lehd.did.census.gov>.7

Overview

The QWI are measures of economiccharacteristics and change selectedjointly by the Census Bureau andits partner states. Each componentof the QWI provides a critical meas-ure of an area’s economy and canbe used as a tool to better under-stand changes in the core perform-ance of local economies.

Listed in this report are figures anddata tables that show selected QWIstatistics on older workers.

Comprehensive summary data thatcover geographic areas and includeage and gender composition byindustry, total employment, net jobflows, job gains and job losses, sep-arations, new hires, skill level (quar-ters of employment), and averagemonthly earnings are available at<http://lehd.did.census.gov>.

Nine months after a quarter ends,the Census Bureau and its partnersupdate the workforce indicators forthat quarter. This provides currentand historical information aboutthe characteristics of America’sworkers and a tool to monitor eco-nomic change.8 The statistics arecomparable across time, making itpossible to identify emergingworkforce trends and turningpoints and to compare geographicareas and demographic groupsworking in specific industries.Industries are classified accordingto the NAICS.

The QWI come from a mixture ofdata sources, the base of which is acensus of jobs. The LED databaseincludes all jobs a worker holds andallows multiple definitions of“employment” in order to respondto a wide variety of questions aboutthe workforce (see “Sources andAccuracy of the Estimates” in thefollowing section). The definition of“employment” in this report, unlessstated otherwise, is “beginning of

quarter” employment—that is, thetotal number of workers who wereemployed by the same employer inthe reference quarter and the previ-ous quarter.

As job-based statistics, the QWI arenot directly comparable with statis-tics from worker-based surveyssuch as the decennial and eco-nomic censuses, the AmericanCommunity Survey, or the CurrentPopulation Survey.9 Neither are theQWI exactly comparable with datafrom establishment surveys, suchas those from the U.S. Bureau ofLabor Statistics’ Quarterly Censusof Employment and Wages (QCEW)program, which capture employ-ment data at establishments on the12th of the month.

Throughout this report, “earnings”refer only to the earnings of work-ers who were employed for a fullquarter—that is, those who wereemployed by the same employer inthe reference, previous, and subse-quent quarters. This earningsmeasure reflects the earnings of“attached” employees, generallyworkers who worked for the sameemployer for the whole quarter.The measures of earnings from theQWI are not directly comparablewith measures of earnings fromthe Bureau of Labor Statistics.

QWI for partner states anddetailed information aboutthe LED program are availablewithout cost at<http://lehd.did.census.gov>.

8 Because the QWI are updated quarterly,the numbers in this report may differ fromthe most recent ones, which are shown onthe current LED Web site. For the latest list ofpartner states, see<http://lehd.did.census.gov/led/led/statepartners.html>. Additional states are inthe process of joining.

9 Information about the decennial censusis available at <http://www.census.gov/main/www/cen2000.html>. AmericanCommunity Survey information is availableat <http://www.census.gov/acs/www>.Information about economic censuses isavailable at <http://www.census.gov/econ/census02/>.

6 There are no nonmetropolitan areas inNew Jersey. See footnote on page 2.

7 For more complete information on QWI,see Abowd, John M., Bryce E. Stephens, LarsVilhuber, Fredrik Andersson, Kevin L.McKinney, Marc Roemer, and SimonWoodcock, 2005. The LEHD InfrastructureFiles and the Creation of the QuarterlyWorkforce 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>.


SOURCES AND ACCURACYOF THE ESTIMATES

Because the QWI are job-based sta-tistics, not the worker-based statis-tics familiar to many researchers,the LED database allows multipledefinitions of “employment” andcan respond to a wide variety ofquestions about the workforce.10

Sources

Enhanced unemployment insurance(UI) wage records and the QCEWare the basic data sources for theQWI. These are administrative dataprovided to the Census Bureau bypartner states. The QWI’s coverage,timing of data collection, and con-cept definitions differ from thosein worker-based surveys, such asthe decennial and economic cen-suses, the American CommunitySurvey, and the Current PopulationSurvey. Also, QWI data are notexactly comparable with Bureau ofLabor Statistics information, due totiming differences.

Administrative data from thesesources almost certainly containnonsampling errors. The extent ofthe nonsampling errors isunknown. Sources of nonsamplingerrors include errors made in datacollection, such as recording andcoding errors, errors made in pro-cessing the data, errors made inestimating values for missing data,and errors from failing to representall units within a target population(undercoverage).

The LED program undertakes aprocess of continuous monitoringto attempt to control the nonsam-pling errors in the integrated datathat underlie the LED database. Inparticular, identifiers on both theUI wage records and the QCEWrecords are subjected to

longitudinal editing every quarter.A set of quality assurance tests isapplied to the integrated data.These tests detect problemsknown to cause nonsamplingerrors—primarily, tests for missingrecords of various types (based onestimates of the number ofexpected records from alternativesources), tests for incompletewage or earnings information, andtests for changes in the structureof identifiers or entities. Problemsdetected by these quality assur-ance tests are investigated andcorrected before data integrationand production of the QWI areallowed to continue.11

Industries are based upon theNAICS.

Coverage

This report covers civilian noninsti-tutionalized workers in the privatesector only. While this report doesnot include federal governmentworkers, the complete QWI data-base does include most state andlocal government employees. TheQWI database covers about 98 per-cent of nonagricultural, privatewage, salaried employment. Theremaining 2 percent of the non-agricultural, private wage, salariedworkers are railroad workers andworkers for some nonprofit organi-zations. Self-employed workersand independent contractors arenot in the covered universe.12

Definitions

The LED database includes all jobsheld:

• In a quarter, regardless of thelength of time the job is held.

• At the beginning of a quarter—the measure used in this report(workers employed by the sameemployer in the reference quar-ter and the previous quarter).

• At the end of a quarter.

• For a full quarter (total numberof workers who were employedby the same employer in the ref-erence, previous, and subse-quent quarters). This measure isused in this report for averageearnings because it reflects theearnings of employees in morestable jobs.

The measure that is closest to theQCEW definition of employment isthe second one, jobs held at thebeginning of a quarter. This secondmeasure has the additional advan-tage of capturing trends similar tothose shown by worker-based sur-veys, such as the decennial census.

Annual figures are simple averageswith each quarter weightedequally. There is no differentialweighting of averages for seasonalindustries, for example.

Earnings are measured differentlyamong the various datasets.According to the BLS Handbook ofMethods (1997), UI wage recordsmeasure “gross wages and salaries,bonuses, stock options, tips, andother gratuities, and the value ofmeals and lodging, where sup-plied.” They do not includeamounts paid for Old-Age,Survivors, and Disability Insurance(OASDI), health insurance, workers’compensation, unemploymentinsurance, private pensions, andwelfare funds. The LED databasedoes not include the number ofhours or weeks an employeeworked. Thus, low average earn-ings in a given year or quarter inan industry sector may reflect rela-tively low hourly wages, or manypart-time jobs, or both, as oftenoccurs 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 StateUnemployment. LEHD Technical Paper, TP-2002-16. 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 anemployer-employee pair among administra-tive datasets.


Some large companies have multi-ple work sites but may report alltheir workers at the company’smain address. This creates a prob-lem for the correct geographic dis-tribution of the workers. LED usesan imputation process to allocateworkers to geographic areas inorder to maintain appropriate dis-tributions within the QWI dataset.

Confidentiality of informationabout individuals and firms is protected.

The Census Bureau and the statepartners are committed to protect-ing the confidentiality of the dataused to create the LED estimates.One technical approach used toconceal individual information

involves combining cell suppressionmethodology and statistical noise,thereby controlling key measures tocounty employment levels asreported by the Bureau of LaborStatistics. In other words, theCensus Bureau uses statistical tech-niques in which the actual statisticsare not shown if the numbers in acell are small. In addition, the statis-tics that are shown are “fuzzy,”meaning close to the actual infor-mation but not exact.

Only Census Bureau employeesand individuals who have SpecialSworn Status are permitted towork with the input data. Everyonewho has access to data protectedby Title 13 of the U.S. Code musthave an official security clearance

based on a background check,including fingerprinting.13

Additionally, these individuals aresubject to a fine of up to $250,000,up to 5 years in prison, or both, ifconfidential information is disclosed.The Census Bureau and the statedata custodians review all productsbefore release to avoid disclosure ofconfidential information.

More detailed information aboutthe confidentiality protection sys-tem is available under the“Confidentiality” menu at<http://lehd.did.census.gov>.

13 The Census Bureau’s Data Protectionand Privacy Policy, including information onTitle 13, is available at <http://www.census.gov/privacy>.


CHARACTERISTICS AND EMPLOYMENT DYNAMICS OF OLDER WORKERS

Table 1.Percentage of Workers by Age in Metropolitan Statistical Areas in New Jersey: 2004

sraey99ot55sraey99ot56sraey46ot55sraey45ot54ecalpkrowfoaerA

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22.8 12.6 4.0 16.6Allentown-Bethlehem-Easton, PA-NJ (NJ part) . . . . . . . . . . . . 24.1 13.1 3.6 16.7Atlantic City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23.6 11.8 4.3 16.1New 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 17.6Philadelphia-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 17.1Vineland-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-quarteremployment

Total number of workersemployed by the sameemployer in the referencequarter and the previousquarter.

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

1999199819971996 2000

0

10

20

30

40

50

60

70

80

90

100

4321432143214321432143214321432143Q2

2001 2002 2003 2004


PENNSYLVANIA

NEW YORK

DELAWARE

OCEAN

SUSSEX

ATLANTIC

BURLINGTON

MORRIS

SALEM

WARREN

MONMOUTH

CUMBERLAND

HUNTERDON

BERGEN

MIDDLESEX

SOMERSET

MERCER

CAMDEN

CAPEMAY

GLOUCESTER

PASSAIC

ESSEX

UNION

HUDSON

Spatial Data Source: U.S. Census Bureau, 2000.Statistical Data Source: Longitudinal Employer-HouseholdDynamics Program, U.S. Census Bureau, 2006.

Percentage of Workers45 to 54 by County

Note: All boundaries and names are as of January 1, 2000.

STATECOUNTY

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 reflectprecise category breaks dueto rounding.

Figure 2. Percentage of Workers 45 to 54 Years Old by County of Workplace in New Jersey: 2004


PENNSYLVANIA

NEW YORK

DELAWARE

OCEAN

SUSSEX

ATLANTIC

BURLINGTON

MORRIS

SALEM

WARREN

MONMOUTH

CUMBERLAND

HUNTERDON

BERGEN

MIDDLESEX

SOMERSET

MERCER

CAMDEN

CAPEMAY

GLOUCESTER

PASSAIC

ESSEX

UNION

HUDSON


Percentage of Workers55 to 64 by County


STATECOUNTY

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


Figure 3. Percentage of Workers 55 to 64 Years Old by County of Workplace in New Jersey: 2004


PENNSYLVANIA

NEW YORK

DELAWARE

OCEAN

SUSSEX

ATLANTIC

BURLINGTON

MORRIS

SALEM

WARREN

MONMOUTH

CUMBERLAND

HUNTERDON

BERGEN

MIDDLESEX

SOMERSET

MERCER

CAMDEN

CAPEMAY

GLOUCESTER

PASSAIC

ESSEX

UNION

HUDSON


Percentage of Workers65 and Older by County


STATECOUNTY

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


Figure 4. Percentage of Workers 65 and Older by County of Workplace in New Jersey: 2004


PENNSYLVANIA

NEW YORK

DELAWARE

OCEAN

SUSSEX

ATLANTIC

BURLINGTON

MORRIS

SALEM

WARREN

MONMOUTH

CUMBERLAND

HUNTERDON

BERGEN

MIDDLESEX

SOMERSET

MERCER

CAMDEN

CAPEMAY

GLOUCESTER

PASSAIC

ESSEX

UNION

HUDSON


0 10 20 30 40 50 Kilometers

0 10 20 30 40 50 Miles

Percentage Change in Numberof Workers 55 and Older,From 2001 to 2004


STATECOUNTY

18.7 to 26.2

12.9 to 18.6

9.3 to 12.8

2.5 to 9.2


Figure 5. Percentage Change in Number of Workers 55 and Older by County of Workplace in New Jersey: 2001 to 2004


ADDITIONAL RESOURCES

Other data tables with informationabout older workers are availablefor download from the LED Web sitein a comma-separated value (.csv)format. Brief descriptions of theavailable tables are given below.See <http://lehd.did.census.gov>for additional details.

Characteristics andEmployment Dynamics ofOlder Workers

Age composition

A series of tables shows absoluteand relative shares of older workersdisaggregated into four standardage ranges. The county and metro-politan statistical area aggregationlevels are presented for 2004.

Industry sectors with a highproportion of older workers

Two tables contain data on the topfive industry sectors for olderworkers in 2004 at the county andmetropolitan statistical area aggre-gation levels.

Most likely industry sectors ofemployment for older workers

A table contains the top five indus-try sectors most likely to employworkers 55 and older. The aggre-gation level is the county of work-place for 2004.

Job gains and losses

A series of tables displays gains,losses, and net changes in jobs forolder workers disaggregated intofour standard age ranges. Theaggregation level is the workplacecounty for 2004.

Average monthly earnings of older workers

A series of tables displays averagemonthly earnings for workers 55and older across industry sectorsand aggregated at the county andmetropolitan statistical area levels.An additional table presents earn-ings across the four standard ageranges.

Appendix tables

These tables contain all remainingdatasets—aggregated by countyand metropolitan statistical areaand organized by industry andage. Notable data include: employ-ment totals for 2001 to 2004,quarterly job loss/gain composi-tion for 2004, and averagemonthly earnings and employmentby Workforce Investment Areas.

ACKNOWLEDGMENTS

Research for and production of thisreport was supported under aninteragency agreement with theBehavioral and Social Research

Program, National Institute onAging, Agreement No. Y1-AG-9415-07, and under Grant No. R01-AG018854.

Thanks to Heath Hayward for pro-duction of the state maps. Also,thanks to Liliana Sousa, CorinneProst, and Matthew Armstrong forassistance in the statistical analysis.

MORE INFORMATION

This report is one of a series of reports on older workers instates in the LED partnership.Additional tables of data and otherdetailed information can be foundat the LED Web site, <http://lehd.did.census.gov>.Other data tools and applications,such as QWI Online andOnTheMap, based upon LEDpartnership data, can also befound on the LED Web site.

SUGGESTED CITATION

Taeuber, Cynthia and Matthew R.Graham, 2008. The GeographicDistribution and Characteristics ofOlder Workers in New Jersey:2004. LED Older Workers Profile,LED-OW04-NJ. U.S. Census Bureau,Washington, DC.

The Geographic Distribution and Characteristics of Older ...National projections indi-cate that the population 65 and older will increase from about 1 in 8 people to 1 in 5 people

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