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 Series Title: NOT IN LABOR FORCE 60-61 yrs. White Male: NSA (Thousands)
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 1976 06 51412.
 1976 07 23438.
 1976 08 48440·
 1976 09 42409.
 1976 10 44407·
 1976 11 96391.
 1976 12 41413.
 1977 01  52414.
 1977 02  84413.
 1977 03  48416·
 1977 04  16391.
 1977 05  42392·
 1977 06  22397.
 1977 07  62405.
 1977 08  86438·
 1977 09  57430·
 1977 10  33402·
 1977 11  44389·
 1977 12  88392·
 1978 01 64422·
 1978 02 19431.
 1978 03 26418·
 1978 04 87440·
 1978 05 59463·
 1978 06 3435·
 1978 07 64459.
 1978 08 70471·
 1978 09 60465·
 1978 10 37431·
 1978 11 40422·
 1978 12 49420·
 1979 01  12435·
 1979 02  96452.
 1979 03  60443·
 1979 04  63468.
 1979 05  84465·
 1979 06  80476.
 1979 07  57473·
 1979 08  74478·
 1979 09  70480·
 1979 10  15474.
 1979 11  86499.
 1979 12  70482·
 1980 01 88509·
 1980 02 51489.
 1980 03 30471·
 1980 04 64477.
 1980 05 84483.
 1980 06 63498·
 1980 07 95484.
 1980 08 95474·
 1980 09 26485·
 1980 10 53474·
 1980 11 13492·
 1980 12 24469.
 1981 01  9489·
 1981 02  44482·
 1981 03  40513·
 1981 04  41530.
 1981 05  51513·
 1981 06  88509.
 1981 07  58494·
 1981 08  57536·
 1981 09  97527.
 1981 10  61528.
 1981 11  74514·
 1981 12  11508·
 1982 01 16525.
 1982 02 62564.
 1982 03 20534·
 1982 04 65541·
 1982 05 2561.
 1982 06 16555.
 1982 07 51590.
 1982 08 7567·
 1982 09 74552·
 1982 10 75555.
 1982 11 50536.
 1982 12 51520.
 1983 01  76553·
 1983 02  14553·
 1983 03  23549.
 1983 04  35557·
 1983 05  78566.
 1983 06  32571·
 1983 07  2563.
 1983 08  20558.
 1983 09  73540·
 1983 10  56531.
 1983 11  43502·
 1983 12  95500.
 1984 01 82541·
 1984 02 36545.
 1984 03 29570.
 1984 04 73572·
 1984 05 47554·
 1984 06 47567·
 1984 07 66568.
 1984 08 92581·
 1984 09 38571·
 1984 10 89573.
 1984 11 84586.
 1984 12 14560.
 1985 01  49554·
 1985 02  89574.
 1985 03  43580·
 1985 04  28540·
 1985 05  99549·
 1985 06  95559·
 1985 07  21583.
 1985 08  47563·
 1985 09  33567·
 1985 10  85555.
 1985 11  27544·
 1985 12  7579·
 1986 01 19612.
 1986 02 57617.
 1986 03 93596·
 1986 04 73586·
 1986 05 52566.
 1986 06 39537·
 1986 07 74531.
 1986 08 32564.
 1986 09 51561·
 1986 10 79558·
 1986 11 52571·
 1986 12 97542·
 1987 01  60572.
 1987 02  53611·
 1987 03  34598.
 1987 04  6579·
 1987 05  48574.
 1987 06  62613·
 1987 07  51605·
 1987 08  22599.
 1987 09  10571·
 1987 10  31586·
 1987 11  61546·
 1987 12  32558.
 1988 01 64551.
 1988 02 11589·
 1988 03 45626.
 1988 04 50585.
 1988 05 54594·
 1988 06 77599.
 1988 07 9610·
 1988 08 13616.
 1988 09 50610·
 1988 10 28562.
 1988 11 86565.
 1988 12 85543·
 1989 01  46527.
 1989 02  92567.
 1989 03  31577·
 1989 04  53545·
 1989 05  61534·
 1989 06  17513·
 1989 07  26512.
 1989 08  30536.
 1989 09  39512.
 1989 10  80540.
 1989 11  79562·
 1989 12  54556.
 1990 01 49529·
 1990 02 81541.
 1990 03 20577·
 1990 04 88548·
 1990 05 85551·
 1990 06 45532·
 1990 07 7505·
 1990 08 19502.
 1990 09 68507·
 1990 10 23523·
 1990 11 21556.
 1990 12 62542·
 1991 01  39568·
 1991 02  89525.
 1991 03  68517·
 1991 04  53518.
 1991 05  70488·
 1991 06  45516·
 1991 07  80530.
 1991 08  55513·
 1991 09  54521.
 1991 10  16510·
 1991 11  15527·
 1991 12  57547.
 1992 01 9543.
 1992 02 52523·
 1992 03 53525.
 1992 04 71516.
 1992 05 81494.
 1992 06 28494·
 1992 07 1538.
 1992 08 35559·
 1992 09 39582.
 1992 10 46573.
 1992 11 91588·
 1992 12 12568·
 1993 01  75552.
 1993 02  29515.
 1993 03  79536.
 1993 04  90548.
 1993 05  11537.
 1993 06  30545.
 1993 07  48555.
 1993 08  82535·
 1993 09  89537.
 1993 10  23516.
 1993 11  3559·
 1993 12  25577·
 1994 01 80549.
 1994 02 8563·
 1994 03 77595.
 1994 04 83581·
 1994 05 76536.
 1994 06 11582·
 1994 07 26513·
 1994 08 44500·
 1994 09 97485·
 1994 10 82508.
 1994 11 31509.
 1994 12 20535.
 1995 01  88547·
 1995 02  97555·
 1995 03  0539.
 1995 04  49583·
 1995 05  18557·
 1995 06  56535·
 1995 07  64509·
 1995 08  94522·
 1995 09  80517·
 1995 10  85524·
 1995 11  79522.
 1995 12  43519·
 1996 01 94533.
 1996 02 33544.
 1996 03 28538·
 1996 04 10521.
 1996 05 4505.
 1996 06 77522.
 1996 07 16525·
 1996 08 31555.
 1996 09 78601.
 1996 10 16578.
 1996 11 76567.
 1996 12 70586.
 1997 01  13574·
 1997 02  76554.
 1997 03  64536·
 1997 04  14542.
 1997 05  25568.
 1997 06  8576.
 1997 07  62594.
 1997 08  77573·
 1997 09  60545.
 1997 10  86552·
 1997 11  76541·
 1997 12  96578·
 1998 01 87572.
 1998 02 12547·
 1998 03 38546·
 1998 04 35537·
 1998 05 99553·
 1998 06 10570·
 1998 07 5581·
 1998 08 80578.
 1998 09 16501·
 1998 10 32516·
 1998 11 59534.
 1998 12 46562·
 1999 01  82569·
 1999 02  51551·
 1999 03  5573.
 1999 04  70606.
 1999 05  67600.
 1999 06  70580·
 1999 07  76566·
 1999 08  14534.
 1999 09  64507·
 1999 10  12538.
 1999 11  29544·
 1999 12  67551.
 2000 01 92550.
 2000 02 29541.
 2000 03 44522·
 2000 04 42596·
 2000 05 96619·
 2000 06 96602.
 2000 07 29624·
 2000 08 77616·
 2000 09 45615.
 2000 10 14657.
 2000 11 15653·
 2000 12 33639.
 2001 01  32647.
 2001 02  7602.
 2001 03  59579·
 2001 04  0617.
 2001 05  78584·
 2001 06  26570.
 2001 07  42615·
 2001 08  91610.
 2001 09  26616.
 2001 10  47659·
 2001 11  72655.


 2001 12  42657.
 2002 01 45653.
 2002 02 69627·
 2002 03 79642.
 2002 04 17663.
 2002 05 29620·
 2002 06 19664.
 2002 07 21665·
 2002 08 4652·
 2002 09 99646·
 2002 10 46591·
 2002 11 78614.
 2002 12 16595.
 2003 01  96655·
 2003 02  27668·

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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