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 Series Title: NOT IN LABOR FORCE 60-61 yrs. White Male: NSA (Thousands)
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 1976 06 68412.
 1976 07 34438.
 1976 08 26440.
 1976 09 41409.
 1976 10 98407·
 1976 11 21391.
 1976 12 34413·
 1977 01  93414·
 1977 02  32413·
 1977 03  44416·
 1977 04  81391.
 1977 05  81392.
 1977 06  19397·
 1977 07  84405·
 1977 08  79438.
 1977 09  50430·
 1977 10  37402.
 1977 11  48389·
 1977 12  66392.
 1978 01 68422.
 1978 02 84431·
 1978 03 69418·
 1978 04 5440.
 1978 05 30463.
 1978 06 87435.
 1978 07 2459·
 1978 08 84471·
 1978 09 55465·
 1978 10 96431.
 1978 11 29422.
 1978 12 16420.
 1979 01  86435·
 1979 02  85452.
 1979 03  57443.
 1979 04  39468·
 1979 05  93465.
 1979 06  57476·
 1979 07  17473.
 1979 08  15478·
 1979 09  71480·
 1979 10  35474·
 1979 11  67499.
 1979 12  33482.
 1980 01 38509·
 1980 02 71489·
 1980 03 87471.
 1980 04 5477.
 1980 05 38483.
 1980 06 39498.
 1980 07 84484·
 1980 08 70474·
 1980 09 41485·
 1980 10 41474·
 1980 11 91492.
 1980 12 90469.
 1981 01  40489.
 1981 02  1482.
 1981 03  63513·
 1981 04  53530·
 1981 05  56513·
 1981 06  70509.
 1981 07  83494.
 1981 08  72536.
 1981 09  31527.
 1981 10  23528.
 1981 11  56514·
 1981 12  85508.
 1982 01 35525.
 1982 02 61564·
 1982 03 15534.
 1982 04 54541.
 1982 05 63561.
 1982 06 9555.
 1982 07 17590·
 1982 08 68567.
 1982 09 33552·
 1982 10 18555.
 1982 11 42536·
 1982 12 40520·
 1983 01  90553·
 1983 02  62553.
 1983 03  97549·
 1983 04  7557·
 1983 05  3566·
 1983 06  43571.
 1983 07  15563·
 1983 08  33558·
 1983 09  65540.
 1983 10  85531.
 1983 11  52502·
 1983 12  5500.
 1984 01 96541.
 1984 02 40545.
 1984 03 89570·
 1984 04 36572·
 1984 05 40554.
 1984 06 82567.
 1984 07 33568·
 1984 08 63581.
 1984 09 67571.
 1984 10 11573.
 1984 11 15586.
 1984 12 51560.
 1985 01  70554·
 1985 02  54574.
 1985 03  93580.
 1985 04  87540.
 1985 05  69549.
 1985 06  61559·
 1985 07  49583.
 1985 08  83563·
 1985 09  7567.
 1985 10  6555.
 1985 11  87544·
 1985 12  78579.
 1986 01 54612.
 1986 02 91617·
 1986 03 41596.
 1986 04 34586·
 1986 05 4566.
 1986 06 41537·
 1986 07 67531.
 1986 08 40564·
 1986 09 76561.
 1986 10 5558.
 1986 11 46571.
 1986 12 8542.
 1987 01  14572·
 1987 02  61611.
 1987 03  86598·
 1987 04  76579.
 1987 05  88574·
 1987 06  7613.
 1987 07  17605.
 1987 08  7599·
 1987 09  91571·
 1987 10  70586.
 1987 11  97546·
 1987 12  88558·
 1988 01 43551.
 1988 02 99589.
 1988 03 7626·
 1988 04 34585·
 1988 05 88594.
 1988 06 71599.
 1988 07 54610·
 1988 08 82616·
 1988 09 95610·
 1988 10 85562·
 1988 11 69565·
 1988 12 94543.
 1989 01  57527·
 1989 02  67567·
 1989 03  9577.
 1989 04  58545·
 1989 05  95534.
 1989 06  67513.
 1989 07  56512·
 1989 08  88536·
 1989 09  53512·
 1989 10  61540·
 1989 11  16562.
 1989 12  21556·
 1990 01 99529·
 1990 02 49541.
 1990 03 21577.
 1990 04 20548·
 1990 05 27551.
 1990 06 56532·
 1990 07 28505.
 1990 08 73502·
 1990 09 57507·
 1990 10 33523·
 1990 11 18556·
 1990 12 93542.
 1991 01  34568.
 1991 02  56525·
 1991 03  98517·
 1991 04  18518.
 1991 05  25488.
 1991 06  24516.
 1991 07  99530·
 1991 08  11513.
 1991 09  25521.
 1991 10  63510.
 1991 11  79527·
 1991 12  59547·
 1992 01 54543.
 1992 02 24523·
 1992 03 18525.
 1992 04 76516.
 1992 05 56494·
 1992 06 81494·
 1992 07 24538·
 1992 08 99559.
 1992 09 99582·
 1992 10 36573·
 1992 11 27588·
 1992 12 92568.
 1993 01  77552·
 1993 02  13515·
 1993 03  86536·
 1993 04  41548·
 1993 05  11537·
 1993 06  63545.
 1993 07  81555·
 1993 08  61535.
 1993 09  44537·
 1993 10  62516·
 1993 11  19559·
 1993 12  89577.
 1994 01 45549·
 1994 02 9563·
 1994 03 31595·
 1994 04 87581·
 1994 05 8536.
 1994 06 31582·
 1994 07 75513.
 1994 08 44500.
 1994 09 53485.
 1994 10 77508.
 1994 11 32509.
 1994 12 73535.
 1995 01  23547·
 1995 02  23555.
 1995 03  8539.
 1995 04  11583·
 1995 05  88557.
 1995 06  69535·
 1995 07  35509.
 1995 08  22522.
 1995 09  42517·
 1995 10  41524.
 1995 11  71522·
 1995 12  93519·
 1996 01 4533.
 1996 02 89544·
 1996 03 95538.
 1996 04 37521.
 1996 05 18505.
 1996 06 88522.
 1996 07 16525.
 1996 08 92555.
 1996 09 54601.
 1996 10 40578·
 1996 11 65567·
 1996 12 21586·
 1997 01  5574.
 1997 02  69554·
 1997 03  98536.
 1997 04  12542.
 1997 05  90568.
 1997 06  25576.
 1997 07  97594.
 1997 08  78573·
 1997 09  55545.
 1997 10  85552.
 1997 11  69541·
 1997 12  56578·
 1998 01 67572.
 1998 02 47547·
 1998 03 45546.
 1998 04 10537.
 1998 05 21553·
 1998 06 39570.
 1998 07 82581·
 1998 08 27578·
 1998 09 36501.
 1998 10 10516.
 1998 11 62534·
 1998 12 21562.
 1999 01  57569·
 1999 02  36551·
 1999 03  91573·
 1999 04  28606·
 1999 05  52600·
 1999 06  16580.
 1999 07  1566.
 1999 08  13534·
 1999 09  16507.
 1999 10  77538.
 1999 11  48544·
 1999 12  63551.
 2000 01 67550·
 2000 02 69541·
 2000 03 15522·
 2000 04 91596.
 2000 05 51619·
 2000 06 67602.
 2000 07 7624.
 2000 08 34616.
 2000 09 35615·
 2000 10 72657·
 2000 11 57653·
 2000 12 56639.
 2001 01  15647.
 2001 02  8602·
 2001 03  21579·
 2001 04  45617·
 2001 05  8584·
 2001 06  27570·
 2001 07  80615.
 2001 08  13610.
 2001 09  61616·
 2001 10  4659.
 2001 11  43655.


 2001 12  98657.
 2002 01 40653.
 2002 02 39627·
 2002 03 39642.
 2002 04 64663·
 2002 05 42620.
 2002 06 57664.
 2002 07 25665·
 2002 08 97652.
 2002 09 84646·
 2002 10 9591·
 2002 11 84614.
 2002 12 12595.
 2003 01  11655·
 2003 02  71668·

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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