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 Series Title: NOT IN LABOR FORCE 60-61 yrs. White Male: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2003 02  36668.
 2003 01  59655·
 2002 12 83595·
 2002 11 40614·
 2002 10 90591.
 2002 09 92646.
 2002 08 9652.
 2002 07 32665·
 2002 06 35664·
 2002 05 48620·
 2002 04 60663.
 2002 03 48642·
 2002 02 22627.
 2002 01 9653.
 2001 12  51657·
 2001 11  31655.
 2001 10  26659·
 2001 09  82616.
 2001 08  18610.
 2001 07  51615.
 2001 06  47570·
 2001 05  98584.
 2001 04  25617·
 2001 03  3579·
 2001 02  11602.
 2001 01  15647.
 2000 12 60639·
 2000 11 4653.
 2000 10 69657.
 2000 09 13615.
 2000 08 34616·
 2000 07 0624·
 2000 06 95602·
 2000 05 99619.
 2000 04 87596·
 2000 03 60522.
 2000 02 91541.
 2000 01 5550.
 1999 12  81551.
 1999 11  77544·
 1999 10  81538.
 1999 09  88507·
 1999 08  5534.
 1999 07  71566.
 1999 06  15580.
 1999 05  29600.
 1999 04  70606.
 1999 03  86573·
 1999 02  70551·
 1999 01  35569.
 1998 12 15562·
 1998 11 91534.
 1998 10 46516.
 1998 09 38501·
 1998 08 2578.
 1998 07 80581·
 1998 06 67570·
 1998 05 93553·
 1998 04 20537·
 1998 03 73546.
 1998 02 85547·
 1998 01 84572.
 1997 12  82578·
 1997 11  13541·
 1997 10  75552.
 1997 09  16545·
 1997 08  25573·
 1997 07  69594.
 1997 06  37576·
 1997 05  21568·
 1997 04  13542.
 1997 03  37536.
 1997 02  97554.
 1997 01  55574.
 1996 12 32586.
 1996 11 34567.
 1996 10 5578.
 1996 09 1601.
 1996 08 97555·
 1996 07 5525·
 1996 06 36522.
 1996 05 65505.
 1996 04 44521·
 1996 03 20538·
 1996 02 90544·
 1996 01 79533.
 1995 12  37519.
 1995 11  72522.
 1995 10  94524·
 1995 09  99517.
 1995 08  64522·
 1995 07  80509·
 1995 06  98535.
 1995 05  7557.
 1995 04  38583.
 1995 03  89539.
 1995 02  76555·
 1995 01  9547·
 1994 12 96535·
 1994 11 68509.
 1994 10 30508·
 1994 09 38485.
 1994 08 2500·
 1994 07 11513.
 1994 06 84582·
 1994 05 49536.
 1994 04 43581·
 1994 03 36595·
 1994 02 90563.
 1994 01 25549.
 1993 12  32577.
 1993 11  89559.
 1993 10  22516.
 1993 09  72537.
 1993 08  7535·
 1993 07  38555.
 1993 06  80545.
 1993 05  22537·
 1993 04  31548.
 1993 03  78536·
 1993 02  92515·
 1993 01  31552·
 1992 12 92568·
 1992 11 27588·
 1992 10 5573·
 1992 09 82582.
 1992 08 2559.
 1992 07 30538·
 1992 06 97494.
 1992 05 80494·
 1992 04 1516.
 1992 03 56525·
 1992 02 68523.
 1992 01 57543·
 1991 12  49547·
 1991 11  99527.
 1991 10  42510·
 1991 09  70521.
 1991 08  37513.
 1991 07  78530·
 1991 06  70516.
 1991 05  1488·
 1991 04  75518·
 1991 03  38517.
 1991 02  28525.
 1991 01  56568.
 1990 12 3542.
 1990 11 46556·
 1990 10 16523.
 1990 09 67507.
 1990 08 82502.
 1990 07 99505·
 1990 06 60532.
 1990 05 91551·
 1990 04 2548.
 1990 03 14577.
 1990 02 9541·
 1990 01 9529.
 1989 12  75556·
 1989 11  36562.
 1989 10  39540.
 1989 09  27512.
 1989 08  38536.
 1989 07  34512·
 1989 06  51513.
 1989 05  78534.
 1989 04  55545·
 1989 03  2577·
 1989 02  70567·
 1989 01  18527.
 1988 12 14543·
 1988 11 60565·
 1988 10 47562.
 1988 09 29610.
 1988 08 27616.
 1988 07 50610.
 1988 06 56599.
 1988 05 17594·
 1988 04 32585·
 1988 03 44626.
 1988 02 98589.
 1988 01 15551.
 1987 12  92558·
 1987 11  34546.
 1987 10  99586.
 1987 09  77571.
 1987 08  96599.
 1987 07  40605·
 1987 06  8613·
 1987 05  88574·
 1987 04  55579·
 1987 03  6598.
 1987 02  2611.
 1987 01  52572·
 1986 12 9542·
 1986 11 1571.
 1986 10 81558.
 1986 09 1561·
 1986 08 19564·
 1986 07 20531.
 1986 06 70537·
 1986 05 93566.
 1986 04 74586.
 1986 03 80596·
 1986 02 19617.
 1986 01 9612·
 1985 12  86579·
 1985 11  28544·
 1985 10  4555.
 1985 09  55567.
 1985 08  94563·
 1985 07  31583·
 1985 06  25559.
 1985 05  64549.
 1985 04  60540.
 1985 03  84580·
 1985 02  8574·
 1985 01  91554.
 1984 12 73560.
 1984 11 5586.
 1984 10 3573.
 1984 09 18571.
 1984 08 44581.
 1984 07 40568.
 1984 06 86567·
 1984 05 53554·
 1984 04 13572.
 1984 03 58570·
 1984 02 56545.
 1984 01 26541·
 1983 12  41500·
 1983 11  51502.
 1983 10  39531·
 1983 09  95540·
 1983 08  17558.
 1983 07  41563.
 1983 06  87571.
 1983 05  41566·
 1983 04  54557.
 1983 03  69549·
 1983 02  73553·
 1983 01  70553.
 1982 12 90520.
 1982 11 7536·
 1982 10 98555·
 1982 09 15552·
 1982 08 86567·
 1982 07 48590.
 1982 06 88555.
 1982 05 31561.
 1982 04 33541·
 1982 03 10534.
 1982 02 94564.
 1982 01 1525·
 1981 12  41508.
 1981 11  39514·
 1981 10  90528·
 1981 09  31527.
 1981 08  50536·
 1981 07  4494.
 1981 06  77509.
 1981 05  53513.
 1981 04  21530·
 1981 03  98513.
 1981 02  80482.
 1981 01  24489·
 1980 12 44469.
 1980 11 40492·
 1980 10 50474.
 1980 09 25485·
 1980 08 30474·
 1980 07 76484·
 1980 06 62498·
 1980 05 62483·
 1980 04 18477.
 1980 03 73471.
 1980 02 17489.
 1980 01 68509·
 1979 12  71482.
 1979 11  26499·
 1979 10  39474·
 1979 09  98480·
 1979 08  76478.
 1979 07  55473.
 1979 06  80476·
 1979 05  36465·
 1979 04  46468·
 1979 03  3443.
 1979 02  15452·
 1979 01  87435.
 1978 12 20420.
 1978 11 39422.
 1978 10 43431·
 1978 09 82465.
 1978 08 60471·
 1978 07 58459·
 1978 06 91435·
 1978 05 80463.
 1978 04 54440.
 1978 03 79418.
 1978 02 9431.
 1978 01 60422·
 1977 12  15392.
 1977 11  46389.
 1977 10  72402·
 1977 09  31430·
 1977 08  80438·


 1977 07  28405·
 1977 06  81397·
 1977 05  23392·
 1977 04  14391.
 1977 03  19416·
 1977 02  61413·
 1977 01  93414·
 1976 12 2413.
 1976 11 39391.
 1976 10 62407.
 1976 09 23409·
 1976 08 60440.
 1976 07 31438·
 1976 06 60412·

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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