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 Series Title: NOT IN LABOR FORCE 60-61 yrs. White Male: NSA (Thousands)
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 2003 02  46668.
 2003 01  29655.
 2002 12 81595·
 2002 11 0614·
 2002 10 5591·
 2002 09 20646.
 2002 08 69652.
 2002 07 7665·
 2002 06 69664.
 2002 05 48620·
 2002 04 95663.
 2002 03 50642·
 2002 02 86627.
 2002 01 93653.
 2001 12  73657.
 2001 11  73655·
 2001 10  33659.
 2001 09  62616·
 2001 08  40610·
 2001 07  46615·
 2001 06  10570.
 2001 05  87584·
 2001 04  59617·
 2001 03  63579.
 2001 02  43602·
 2001 01  24647.
 2000 12 17639·
 2000 11 42653.
 2000 10 81657·
 2000 09 56615·
 2000 08 29616·
 2000 07 28624.
 2000 06 1602.
 2000 05 89619.
 2000 04 31596.
 2000 03 90522·
 2000 02 2541·
 2000 01 54550·
 1999 12  87551.
 1999 11  22544·
 1999 10  10538·
 1999 09  8507.
 1999 08  85534.
 1999 07  44566.
 1999 06  75580.
 1999 05  33600.
 1999 04  37606.
 1999 03  99573.
 1999 02  73551.
 1999 01  35569·
 1998 12 81562.
 1998 11 56534·
 1998 10 4516·
 1998 09 46501.
 1998 08 81578·
 1998 07 10581·
 1998 06 94570·
 1998 05 23553·
 1998 04 23537·
 1998 03 81546·
 1998 02 93547·
 1998 01 48572.
 1997 12  22578.
 1997 11  11541.
 1997 10  76552·
 1997 09  26545·
 1997 08  15573·
 1997 07  70594.
 1997 06  44576·
 1997 05  90568.
 1997 04  64542·
 1997 03  52536·
 1997 02  21554·
 1997 01  95574·
 1996 12 58586.
 1996 11 77567·
 1996 10 60578·
 1996 09 25601·
 1996 08 9555.
 1996 07 89525·
 1996 06 34522·
 1996 05 86505·
 1996 04 56521.
 1996 03 56538·
 1996 02 44544.
 1996 01 8533·
 1995 12  61519.
 1995 11  73522.
 1995 10  16524·
 1995 09  49517·
 1995 08  13522.
 1995 07  59509.
 1995 06  0535·
 1995 05  91557·
 1995 04  23583·
 1995 03  58539·
 1995 02  72555·
 1995 01  40547.
 1994 12 31535.
 1994 11 39509.
 1994 10 31508.
 1994 09 27485·
 1994 08 98500.
 1994 07 97513.
 1994 06 4582.
 1994 05 10536.
 1994 04 14581.
 1994 03 50595.
 1994 02 40563.
 1994 01 70549.
 1993 12  90577.
 1993 11  43559·
 1993 10  15516·
 1993 09  13537·
 1993 08  64535.
 1993 07  44555.
 1993 06  30545.
 1993 05  72537·
 1993 04  0548·
 1993 03  49536.
 1993 02  9515·
 1993 01  2552.
 1992 12 85568.
 1992 11 76588·
 1992 10 3573.
 1992 09 86582·
 1992 08 33559·
 1992 07 69538·
 1992 06 89494·
 1992 05 31494·
 1992 04 81516.
 1992 03 97525.
 1992 02 65523·
 1992 01 67543.
 1991 12  91547·
 1991 11  55527.
 1991 10  57510.
 1991 09  51521·
 1991 08  53513.
 1991 07  62530·
 1991 06  16516.
 1991 05  66488·
 1991 04  78518.
 1991 03  61517·
 1991 02  17525·
 1991 01  17568·
 1990 12 5542·
 1990 11 23556.
 1990 10 61523·
 1990 09 37507·
 1990 08 97502.
 1990 07 40505.
 1990 06 72532·
 1990 05 82551·
 1990 04 41548.
 1990 03 33577.
 1990 02 2541.
 1990 01 34529.
 1989 12  51556.
 1989 11  45562.
 1989 10  26540·
 1989 09  98512.
 1989 08  63536·
 1989 07  45512.
 1989 06  44513.
 1989 05  8534·
 1989 04  42545·
 1989 03  29577.
 1989 02  81567.
 1989 01  20527·
 1988 12 75543.
 1988 11 14565.
 1988 10 88562·
 1988 09 14610.
 1988 08 75616.
 1988 07 45610.
 1988 06 40599·
 1988 05 99594.
 1988 04 80585.
 1988 03 90626·
 1988 02 38589·
 1988 01 5551.
 1987 12  52558.
 1987 11  46546.
 1987 10  7586.
 1987 09  89571.
 1987 08  80599.
 1987 07  29605.
 1987 06  97613·
 1987 05  33574.
 1987 04  77579.
 1987 03  85598·
 1987 02  84611·
 1987 01  43572.
 1986 12 79542.
 1986 11 83571·
 1986 10 68558.
 1986 09 52561.
 1986 08 52564·
 1986 07 16531·
 1986 06 75537.
 1986 05 15566.
 1986 04 81586.
 1986 03 5596.
 1986 02 55617.
 1986 01 14612.
 1985 12  80579.
 1985 11  92544·
 1985 10  83555·
 1985 09  57567.
 1985 08  87563.
 1985 07  48583.
 1985 06  60559.
 1985 05  74549.
 1985 04  65540.
 1985 03  66580·
 1985 02  11574·
 1985 01  22554·
 1984 12 2560.
 1984 11 65586·
 1984 10 87573.
 1984 09 84571·
 1984 08 11581·
 1984 07 90568·
 1984 06 63567.
 1984 05 65554.
 1984 04 29572·
 1984 03 10570·
 1984 02 39545.
 1984 01 97541·
 1983 12  19500·
 1983 11  18502·
 1983 10  40531·
 1983 09  37540.
 1983 08  70558·
 1983 07  35563·
 1983 06  18571.
 1983 05  66566.
 1983 04  93557.
 1983 03  4549.
 1983 02  47553.
 1983 01  92553.
 1982 12 28520.
 1982 11 94536.
 1982 10 29555.
 1982 09 45552·
 1982 08 37567.
 1982 07 0590.
 1982 06 87555.
 1982 05 83561·
 1982 04 8541·
 1982 03 40534·
 1982 02 73564.
 1982 01 87525·
 1981 12  53508·
 1981 11  59514.
 1981 10  62528.
 1981 09  63527.
 1981 08  11536·
 1981 07  26494·
 1981 06  55509.
 1981 05  44513.
 1981 04  45530·
 1981 03  35513·
 1981 02  76482·
 1981 01  86489.
 1980 12 42469.
 1980 11 5492·
 1980 10 77474·
 1980 09 71485·
 1980 08 15474.
 1980 07 81484.
 1980 06 32498.
 1980 05 4483.
 1980 04 2477.
 1980 03 30471·
 1980 02 43489·
 1980 01 19509.
 1979 12  67482.
 1979 11  49499·
 1979 10  33474·
 1979 09  71480·
 1979 08  96478.
 1979 07  55473·
 1979 06  55476.
 1979 05  42465·
 1979 04  4468·
 1979 03  93443.
 1979 02  82452.
 1979 01  39435.
 1978 12 27420·
 1978 11 32422·
 1978 10 17431·
 1978 09 94465·
 1978 08 28471·
 1978 07 66459·
 1978 06 83435.
 1978 05 62463·
 1978 04 97440.
 1978 03 15418.
 1978 02 31431.
 1978 01 27422.
 1977 12  44392.
 1977 11  21389.
 1977 10  38402.
 1977 09  93430.
 1977 08  9438·


 1977 07  56405.
 1977 06  2397·
 1977 05  94392.
 1977 04  55391.
 1977 03  12416.
 1977 02  50413.
 1977 01  85414.
 1976 12 68413.
 1976 11 9391.
 1976 10 32407.
 1976 09 49409.
 1976 08 62440.
 1976 07 91438.
 1976 06 23412.

Similar Series

Skip to Data / More Chart Options

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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