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 Series Title: NOT IN LABOR FORCE 60-61 yrs. White Male: NSA (Thousands)
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 1976 06 90412.
 1976 07 43438·
 1976 08 19440·
 1976 09 0409·
 1976 10 96407·
 1976 11 15391.
 1976 12 72413.
 1977 01  7414.
 1977 02  43413.
 1977 03  61416.
 1977 04  1391.
 1977 05  87392·
 1977 06  82397.
 1977 07  62405.
 1977 08  19438·
 1977 09  85430.
 1977 10  89402·
 1977 11  25389.
 1977 12  64392.
 1978 01 71422.
 1978 02 62431.
 1978 03 81418·
 1978 04 98440.
 1978 05 37463·
 1978 06 29435.
 1978 07 87459.
 1978 08 10471·
 1978 09 3465.
 1978 10 39431·
 1978 11 25422.
 1978 12 12420.
 1979 01  14435.
 1979 02  68452·
 1979 03  1443·
 1979 04  42468·
 1979 05  39465·
 1979 06  15476·
 1979 07  48473.
 1979 08  63478·
 1979 09  71480.
 1979 10  8474·
 1979 11  20499.
 1979 12  64482·
 1980 01 29509·
 1980 02 95489.
 1980 03 1471.
 1980 04 56477·
 1980 05 59483.
 1980 06 52498·
 1980 07 97484·
 1980 08 79474·
 1980 09 29485·
 1980 10 80474·
 1980 11 39492.
 1980 12 94469.
 1981 01  33489·
 1981 02  4482.
 1981 03  85513·
 1981 04  89530·
 1981 05  90513.
 1981 06  74509·
 1981 07  15494·
 1981 08  78536·
 1981 09  45527.
 1981 10  66528.
 1981 11  37514·
 1981 12  99508·
 1982 01 67525.
 1982 02 81564.
 1982 03 82534·
 1982 04 13541.
 1982 05 49561·
 1982 06 43555.
 1982 07 6590.
 1982 08 10567.
 1982 09 11552·
 1982 10 3555.
 1982 11 92536.
 1982 12 2520.
 1983 01  97553·
 1983 02  36553.
 1983 03  46549·
 1983 04  27557·
 1983 05  77566.
 1983 06  43571.
 1983 07  99563.
 1983 08  48558.
 1983 09  44540.
 1983 10  49531.
 1983 11  9502.
 1983 12  52500·
 1984 01 17541·
 1984 02 5545·
 1984 03 57570·
 1984 04 53572·
 1984 05 41554·
 1984 06 86567.
 1984 07 49568·
 1984 08 88581·
 1984 09 84571.
 1984 10 92573·
 1984 11 18586·
 1984 12 21560·
 1985 01  42554·
 1985 02  49574.
 1985 03  19580·
 1985 04  40540.
 1985 05  32549.
 1985 06  6559·
 1985 07  35583.
 1985 08  56563·
 1985 09  0567.
 1985 10  41555.
 1985 11  72544·
 1985 12  8579.
 1986 01 14612·
 1986 02 52617.
 1986 03 61596.
 1986 04 60586.
 1986 05 69566·
 1986 06 65537.
 1986 07 61531.
 1986 08 98564.
 1986 09 83561·
 1986 10 32558.
 1986 11 51571·
 1986 12 36542.
 1987 01  0572.
 1987 02  26611·
 1987 03  38598·
 1987 04  12579.
 1987 05  91574.
 1987 06  49613.
 1987 07  56605·
 1987 08  88599·
 1987 09  49571·
 1987 10  25586·
 1987 11  59546·
 1987 12  52558.
 1988 01 93551.
 1988 02 6589·
 1988 03 29626·
 1988 04 18585·
 1988 05 67594.
 1988 06 66599·
 1988 07 74610·
 1988 08 23616.
 1988 09 41610·
 1988 10 7562.
 1988 11 25565·
 1988 12 30543.
 1989 01  8527·
 1989 02  52567.
 1989 03  39577.
 1989 04  27545·
 1989 05  88534.
 1989 06  54513.
 1989 07  96512·
 1989 08  27536·
 1989 09  25512·
 1989 10  87540.
 1989 11  5562.
 1989 12  68556·
 1990 01 88529·
 1990 02 51541.
 1990 03 96577.
 1990 04 12548·
 1990 05 71551·
 1990 06 72532·
 1990 07 25505.
 1990 08 48502·
 1990 09 93507·
 1990 10 1523·
 1990 11 76556.
 1990 12 88542.
 1991 01  99568.
 1991 02  12525.
 1991 03  54517·
 1991 04  71518.
 1991 05  57488.
 1991 06  7516.
 1991 07  91530·
 1991 08  59513.
 1991 09  62521·
 1991 10  10510·
 1991 11  44527·
 1991 12  40547·
 1992 01 33543.
 1992 02 72523.
 1992 03 94525.
 1992 04 26516·
 1992 05 14494·
 1992 06 68494·
 1992 07 48538·
 1992 08 57559·
 1992 09 74582·
 1992 10 99573·
 1992 11 37588.
 1992 12 95568.
 1993 01  7552.
 1993 02  90515·
 1993 03  19536.
 1993 04  27548·
 1993 05  32537·
 1993 06  92545·
 1993 07  75555·
 1993 08  67535·
 1993 09  95537·
 1993 10  79516·
 1993 11  11559·
 1993 12  52577.
 1994 01 63549·
 1994 02 53563.
 1994 03 59595.
 1994 04 45581.
 1994 05 30536.
 1994 06 38582·
 1994 07 76513·
 1994 08 35500·
 1994 09 17485·
 1994 10 86508·
 1994 11 44509.
 1994 12 34535.
 1995 01  67547·
 1995 02  70555.
 1995 03  68539·
 1995 04  80583·
 1995 05  49557.
 1995 06  93535.
 1995 07  81509.
 1995 08  36522·
 1995 09  57517.
 1995 10  79524·
 1995 11  40522·
 1995 12  89519·
 1996 01 11533·
 1996 02 78544·
 1996 03 25538·
 1996 04 53521.
 1996 05 55505.
 1996 06 67522.
 1996 07 44525·
 1996 08 66555·
 1996 09 58601·
 1996 10 45578·
 1996 11 29567·
 1996 12 90586.
 1997 01  13574·
 1997 02  37554.
 1997 03  35536·
 1997 04  14542.
 1997 05  41568.
 1997 06  95576·
 1997 07  45594.
 1997 08  50573·
 1997 09  85545.
 1997 10  93552.
 1997 11  65541.
 1997 12  36578.
 1998 01 14572.
 1998 02 33547.
 1998 03 27546·
 1998 04 35537.
 1998 05 22553.
 1998 06 38570.
 1998 07 87581·
 1998 08 35578·
 1998 09 30501·
 1998 10 61516·
 1998 11 28534.
 1998 12 48562.
 1999 01  80569·
 1999 02  75551.
 1999 03  55573·
 1999 04  14606.
 1999 05  42600.
 1999 06  82580.
 1999 07  1566·
 1999 08  94534·
 1999 09  10507.
 1999 10  7538·
 1999 11  21544.
 1999 12  76551·
 2000 01 4550·
 2000 02 0541·
 2000 03 99522·
 2000 04 74596.
 2000 05 67619·
 2000 06 37602·
 2000 07 39624.
 2000 08 25616·
 2000 09 68615·
 2000 10 18657·
 2000 11 75653·
 2000 12 92639.
 2001 01  2647·
 2001 02  68602.
 2001 03  62579.
 2001 04  63617·
 2001 05  88584.
 2001 06  38570.
 2001 07  82615·
 2001 08  51610·
 2001 09  69616·
 2001 10  4659.
 2001 11  43655·


 2001 12  94657.
 2002 01 16653·
 2002 02 65627.
 2002 03 74642·
 2002 04 55663.
 2002 05 22620.
 2002 06 47664.
 2002 07 34665.
 2002 08 21652·
 2002 09 6646·
 2002 10 1591·
 2002 11 4614·
 2002 12 6595·
 2003 01  13655·
 2003 02  1668.

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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