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 Series Title: NOT IN LABOR FORCE 60-61 yrs. White Male: NSA (Thousands)
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 1976 06 39412.
 1976 07 30438·
 1976 08 45440.
 1976 09 24409·
 1976 10 32407·
 1976 11 34391·
 1976 12 0413.
 1977 01  28414.
 1977 02  97413·
 1977 03  44416·
 1977 04  63391.
 1977 05  38392·
 1977 06  86397·
 1977 07  39405·
 1977 08  46438.
 1977 09  96430·
 1977 10  72402.
 1977 11  28389·
 1977 12  87392·
 1978 01 73422·
 1978 02 58431.
 1978 03 41418.
 1978 04 49440·
 1978 05 62463·
 1978 06 68435.
 1978 07 36459·
 1978 08 19471·
 1978 09 82465·
 1978 10 52431.
 1978 11 93422·
 1978 12 11420·
 1979 01  79435.
 1979 02  86452·
 1979 03  20443·
 1979 04  63468.
 1979 05  19465.
 1979 06  71476.
 1979 07  48473.
 1979 08  37478.
 1979 09  99480.
 1979 10  31474.
 1979 11  34499.
 1979 12  21482.
 1980 01 37509.
 1980 02 17489.
 1980 03 60471.
 1980 04 28477·
 1980 05 77483·
 1980 06 5498.
 1980 07 32484.
 1980 08 97474.
 1980 09 88485·
 1980 10 95474.
 1980 11 81492·
 1980 12 89469.
 1981 01  65489·
 1981 02  12482.
 1981 03  65513·
 1981 04  93530.
 1981 05  26513.
 1981 06  7509.
 1981 07  65494.
 1981 08  22536.
 1981 09  17527.
 1981 10  55528.
 1981 11  88514·
 1981 12  14508·
 1982 01 5525·
 1982 02 56564·
 1982 03 65534·
 1982 04 31541.
 1982 05 85561·
 1982 06 36555.
 1982 07 52590·
 1982 08 62567·
 1982 09 76552·
 1982 10 45555.
 1982 11 33536.
 1982 12 18520·
 1983 01  22553.
 1983 02  59553·
 1983 03  13549·
 1983 04  39557·
 1983 05  93566.
 1983 06  78571.
 1983 07  23563.
 1983 08  87558·
 1983 09  83540.
 1983 10  27531.
 1983 11  21502.
 1983 12  51500.
 1984 01 10541·
 1984 02 57545.
 1984 03 89570·
 1984 04 42572·
 1984 05 19554·
 1984 06 43567·
 1984 07 32568·
 1984 08 98581.
 1984 09 79571.
 1984 10 86573·
 1984 11 83586·
 1984 12 84560.
 1985 01  84554·
 1985 02  11574.
 1985 03  97580·
 1985 04  85540.
 1985 05  54549·
 1985 06  68559.
 1985 07  58583·
 1985 08  17563.
 1985 09  32567.
 1985 10  33555.
 1985 11  70544.
 1985 12  15579·
 1986 01 87612.
 1986 02 6617.
 1986 03 67596·
 1986 04 44586·
 1986 05 15566·
 1986 06 13537.
 1986 07 5531·
 1986 08 91564.
 1986 09 33561.
 1986 10 3558.
 1986 11 65571.
 1986 12 69542.
 1987 01  86572.
 1987 02  53611.
 1987 03  53598·
 1987 04  16579.
 1987 05  43574·
 1987 06  63613·
 1987 07  3605.
 1987 08  94599·
 1987 09  99571·
 1987 10  57586·
 1987 11  69546.
 1987 12  93558.
 1988 01 72551.
 1988 02 87589·
 1988 03 34626·
 1988 04 23585·
 1988 05 6594·
 1988 06 28599·
 1988 07 5610.
 1988 08 25616·
 1988 09 71610.
 1988 10 80562·
 1988 11 13565·
 1988 12 59543.
 1989 01  61527.
 1989 02  69567.
 1989 03  15577.
 1989 04  15545.
 1989 05  95534.
 1989 06  45513·
 1989 07  92512.
 1989 08  5536.
 1989 09  17512·
 1989 10  83540·
 1989 11  52562.
 1989 12  67556.
 1990 01 97529·
 1990 02 85541·
 1990 03 25577.
 1990 04 63548·
 1990 05 27551·
 1990 06 74532·
 1990 07 68505.
 1990 08 83502.
 1990 09 29507.
 1990 10 2523·
 1990 11 63556.
 1990 12 38542·
 1991 01  45568.
 1991 02  44525.
 1991 03  17517·
 1991 04  67518.
 1991 05  44488.
 1991 06  0516.
 1991 07  61530·
 1991 08  32513·
 1991 09  22521·
 1991 10  96510·
 1991 11  52527.
 1991 12  22547·
 1992 01 97543·
 1992 02 83523.
 1992 03 72525.
 1992 04 49516·
 1992 05 13494·
 1992 06 34494·
 1992 07 27538·
 1992 08 51559.
 1992 09 40582.
 1992 10 52573.
 1992 11 48588.
 1992 12 91568·
 1993 01  71552.
 1993 02  61515.
 1993 03  94536.
 1993 04  56548·
 1993 05  25537·
 1993 06  12545.
 1993 07  44555.
 1993 08  61535.
 1993 09  48537.
 1993 10  80516.
 1993 11  6559.
 1993 12  42577·
 1994 01 7549.
 1994 02 66563·
 1994 03 11595.
 1994 04 63581.
 1994 05 98536.
 1994 06 94582.
 1994 07 17513·
 1994 08 12500·
 1994 09 38485·
 1994 10 16508·
 1994 11 4509·
 1994 12 1535.
 1995 01  73547.
 1995 02  6555.
 1995 03  79539.
 1995 04  68583·
 1995 05  72557.
 1995 06  66535·
 1995 07  74509·
 1995 08  76522·
 1995 09  28517.
 1995 10  20524.
 1995 11  46522.
 1995 12  13519.
 1996 01 61533·
 1996 02 18544·
 1996 03 76538·
 1996 04 92521.
 1996 05 15505·
 1996 06 37522·
 1996 07 71525·
 1996 08 51555·
 1996 09 59601.
 1996 10 77578·
 1996 11 63567.
 1996 12 53586.
 1997 01  87574·
 1997 02  63554·
 1997 03  8536·
 1997 04  85542·
 1997 05  19568·
 1997 06  45576.
 1997 07  87594·
 1997 08  61573.
 1997 09  98545.
 1997 10  99552.
 1997 11  8541·
 1997 12  18578.
 1998 01 94572·
 1998 02 25547.
 1998 03 2546·
 1998 04 20537.
 1998 05 0553.
 1998 06 48570·
 1998 07 26581.
 1998 08 53578.
 1998 09 37501.
 1998 10 20516.
 1998 11 61534·
 1998 12 32562·
 1999 01  47569·
 1999 02  15551·
 1999 03  14573.
 1999 04  93606·
 1999 05  1600.
 1999 06  34580·
 1999 07  17566.
 1999 08  1534·
 1999 09  92507·
 1999 10  2538.
 1999 11  26544·
 1999 12  42551.
 2000 01 39550·
 2000 02 69541·
 2000 03 23522.
 2000 04 29596·
 2000 05 87619.
 2000 06 12602·
 2000 07 14624.
 2000 08 2616.
 2000 09 5615·
 2000 10 30657.
 2000 11 32653·
 2000 12 21639.
 2001 01  87647·
 2001 02  48602.
 2001 03  32579·
 2001 04  76617·
 2001 05  52584·
 2001 06  18570·
 2001 07  97615.
 2001 08  79610·
 2001 09  43616·
 2001 10  14659·
 2001 11  34655.


 2001 12  68657·
 2002 01 32653.
 2002 02 37627·
 2002 03 72642.
 2002 04 7663·
 2002 05 10620.
 2002 06 12664.
 2002 07 71665·
 2002 08 81652·
 2002 09 99646.
 2002 10 90591.
 2002 11 10614.
 2002 12 6595.
 2003 01  41655·
 2003 02  46668.

Similar Series

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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and Alternative Measures of Labor Underutilization
Unemployment Rate: Gender
Unemployment Rate: Black: Gender
Unemployment Rate: White: Gender
Unemployment Rate: Race
Unemployment Rate: Age: 16/25/35/45/55
Unemployment Rate: Education
Unemployment Rate: Nonagricultural Industry
Unemployment Rate: Job Category
Median Weeks Unemployed: Age
Median Weeks Unemployed: Race


The US Labor Force Dataset from the BLS contains nearly 15,000 series.
These series are subcategories of the popular series of:

Civilian Labor Force (subcategories)
Employment Level (subcategories)
Unemployment Level (subcategories)
US Unemployment Rate (subcategories)
Population (subcategories)
Employment-Population Ratio (subcategories)
Median Weeks Unemployed (subcategories)
Percent Distribution (subcategories)
Average Hours At Work (subcategories)
Of Total Unemployed (subcategories)

These basic measures are augmented by:

Population
Labor Force Participation Rate
Employment-Population Ratio
Not in Labor Force
Number at work
Average hours at work
Multiple jobholders
Average number of search methods used
Number At work part-time

These series can be subdivided by:

Sex:

Male
Female

Race and Ethnicity:

White
Black
Hispanic
Mexican
Puerto Rican
Cuban

Age:

16 years and over (default)
14_yrs._&_over
16-17_yrs.
16-19_yrs.
16-21_yrs.
16-24_yrs.
18-19_yrs.
20_yrs._&_over
20-24_yrs.
20-64_yrs.
25_yrs._&_over
25-29_yrs.
25-34_yrs.
25-54_yrs.
25-59_yrs.
30-34_yrs.
35-39_yrs.
35-44_yrs.
40-44_yrs.
45_yrs._&_over
45-49_yrs.
45-54_yrs.
50-54_yrs.
55_yrs._&_over
55-59_yrs.
55-64_yrs.
60-61_yrs.
60-64_yrs.
62-64_yrs.
65_yrs._&_over
65-69_yrs.
70_yrs._&_over

Class Of Worker:

Wage_And_Salary_Workers
Private_Wage_And_Salary_Workers
Government_Wage_And_Salary_Workers
Self-employed_Workers
Unpaid_Family_Workers

Industry:

Agriculture_Service
Furniture_And_Fixtures
Motor_Vehicles_&_Motor_Vehicle_Equipment
Aircraft
Tobacco
Eating_And_Drinking
Private_Households
Hospital
Postal
Federal
State
Local
Goods_Producing
Service_Producing
Agriculture_(Excludes_Forestry_And_Fisheries)
Forestry_And_Fisheries
Nonagricultural
Mining
Construction
Manufacturing
Manufacturing,_Durables
Lumber_And_Wood_Products,_Except_Furniture
Stone,_Clay,_And_Glass_Products
Primary_Metal
Fabricated_Metal
Machinery
Electrical_machinery,_equipment,_&_supplies
Transportation_Equipment
Professional_&_photographic_equipment_&_watches
Other_transportation_equipment
Fabricated_Metals
Manufacturing,_Nondurables
Food_And_Kindred_Products
Textile_Mill_Products
Apparel_And_Other_Fabricated_Textile_Products
Paper_And_Allied_Products
Printing,_Publishing,_And_Allied_Industries
Chemicals_And_Allied_Products
Petroleum_And_Coal_Products
Rubber_And_Miscellaneous_Plastic_Products
Leather_And_Leather_Products
Transportation,_Communication,_And_Other_Public_Utilities
Transportation
Transportation_Other_Than_Railroad_And_Railway_Express
Communications_And_Other_Public_Utilities
Communications
Trade
Wholesale_Trade
Retail_Trade
Service_Industries
Finance,_Insurance,_And_Real_Estate
Insurance_And_Real_Estate
Banking_And_Other_Financial_Organizations
Business_And_Repair_Services
Businesses
Repair_Services
Personal_Services
Entertainment_And_Recreation_Services
Professional_And_Related_Services
Medical
Educational_Services
Welfare_And_Religious_Services
Public_Administration

Occupation:

Managerial_&_professional_specialty_occupation
Executive,_administration,_&_managerial
Officials_&_administration,_public_administation
Management_Related_Occupations
Professional_Specialty_Occupations
Engineers
Math_&_Computer_Scientists
Natural_scientists
Health_Diagnosing_Occupations
Health_Assessment_&_Treating
Teachers,_college_&_university
Lawyers_&_Judges
Technical,_sales,_administration_support
Technicians_&_related_support_occupations
Health_technologists_&_technicians
Engineering_&_science_technicians
Technicians
Sales_Occupations
Supervisors_&_Proprietors
Sales_reps,_finance_&_business_services
Sales_reps,_commodities
Sales,_retail_&_personal
Sales_Related_Occupations
Administrative_support
Supervisors
Computer_Equipment_Operators
Secretaries,_stenographers,_&_typists
Financial_Records_Processing
Mail_&_Message_Distributing
Service_Occupation
Private_Household
Protective_Services
Food_Service
Health_Service
Cleaning_&_Building_Service
Personal_Service
Precision_Production,_Craft,_Repair
Mechanics_&_Repairers
Construction_Trades
Operators,_Fabricators,_Laborers
Machine_operators,_assemblers,_inspectors
Operators_&_tenders
Fabricators,_assemblers,_inspectors,_samplers
Transportation,_material_moving
Motor_vehicle_operators
Handlers,_equipment_cleaners,_helpers,_laborers
Construction_Laborers
Freight,_stock_material_handlers
Farming,_Forestry,_Fishing
Farm_Operators_&_Managers
Farm_workers_&_related_occupations
Forestry_&_fishing_occupations

Input your search text below.
or alter the examples after this blank template.







      Example 1: Get Unemployment Rates for people in Computer jobs







      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







      Example 3: Get Population Level Data for Workers





 Series Title: NOT IN LABOR FORCE 60-61 yrs. White Male: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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