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 Series Title: NOT IN LABOR FORCE 60-61 yrs. White Female: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1976 06 71157.
 1976 07 351178.
 1976 08 921132·
 1976 09 281156.
 1976 10 231111·
 1976 11 541129·
 1976 12 21097·
 1977 01  791122.
 1977 02  751118.
 1977 03  401106.
 1977 04  821125.
 1977 05  961130·
 1977 06  121131.
 1977 07  751133.
 1977 08  451145·
 1977 09  251152·
 1977 10  101165·
 1977 11  651163.
 1977 12  281154·
 1978 01 351153.
 1978 02 691122.
 1978 03 431121·
 1978 04 951115.
 1978 05 191147·
 1978 06 151167·
 1978 07 641192·
 1978 08 331185·
 1978 09 981145.
 1978 10 981140·
 1978 11 111145·
 1978 12 551134·
 1979 01  141128·
 1979 02  931131.
 1979 03  901129.
 1979 04  991127·
 1979 05  381161·
 1979 06  11171.
 1979 07  321184·
 1979 08  271194·
 1979 09  631182.
 1979 10  481180.
 1979 11  951173.
 1979 12  291175·
 1980 01 91190·
 1980 02 831181·
 1980 03 601208.
 1980 04 161207·
 1980 05 201235.
 1980 06 821227·
 1980 07 331260.
 1980 08 271264·
 1980 09 641251·
 1980 10 451296·
 1980 11 471299.
 1980 12 241303.
 1981 01  361268·
 1981 02  981253·
 1981 03  581238·
 1981 04  961229.
 1981 05  561276·
 1981 06  921296·
 1981 07  471318·
 1981 08  551323.
 1981 09  661302·
 1981 10  01275.
 1981 11  211274.
 1981 12  391248·
 1982 01 371244.
 1982 02 251261·
 1982 03 121274.
 1982 04 111281.
 1982 05 631305·
 1982 06 911320.
 1982 07 771322.
 1982 08 591320.
 1982 09 621247.
 1982 10 491254·
 1982 11 971251.
 1982 12 951235·
 1983 01  791206·
 1983 02  741251.
 1983 03  781276·
 1983 04  591311.
 1983 05  831305·
 1983 06  671286·
 1983 07  531284·
 1983 08  121232·
 1983 09  681237·
 1983 10  521253.
 1983 11  781263·
 1983 12  421277.
 1984 01 531280·
 1984 02 811266.
 1984 03 351250·
 1984 04 631257·
 1984 05 831226.
 1984 06 281270.
 1984 07 301286.
 1984 08 121278·
 1984 09 261298·
 1984 10 951299.
 1984 11 941286·
 1984 12 521284·
 1985 01  771264.
 1985 02  61256.
 1985 03  861236·
 1985 04  721275.
 1985 05  541225·
 1985 06  121285.
 1985 07  861311·
 1985 08  831261·
 1985 09  31292.
 1985 10  881282·
 1985 11  01299·
 1985 12  241279·
 1986 01 911287·
 1986 02 341288·
 1986 03 611300·
 1986 04 581282.
 1986 05 141254.
 1986 06 771275.
 1986 07 251261·
 1986 08 721224·
 1986 09 901233.
 1986 10 661210·
 1986 11 741202·
 1986 12 801226·
 1987 01  641241·
 1987 02  771220.
 1987 03  151238·
 1987 04  191211.
 1987 05  41224·
 1987 06  101253.
 1987 07  781262·
 1987 08  521214.
 1987 09  51232.
 1987 10  911196.
 1987 11  221177.
 1987 12  681209.
 1988 01 861202.
 1988 02 701198.
 1988 03 261217.
 1988 04 791206·
 1988 05 911238.
 1988 06 221235·
 1988 07 991263.
 1988 08 221248·
 1988 09 891172.
 1988 10 481119·
 1988 11 711128.
 1988 12 621131·
 1989 01  751090.
 1989 02  731160·
 1989 03  01159·
 1989 04  851161.
 1989 05  671179·
 1989 06  471185.
 1989 07  661180.
 1989 08  41147.
 1989 09  91144.
 1989 10  471121·
 1989 11  771128·
 1989 12  591098.
 1990 01 721055.
 1990 02 711086.
 1990 03 641082.
 1990 04 101097.
 1990 05 481095·
 1990 06 471089.
 1990 07 851063.
 1990 08 471102·
 1990 09 571082.
 1990 10 231062.
 1990 11 191094·
 1990 12 821081·
 1991 01  441089·
 1991 02  771072.
 1991 03  751063.
 1991 04  541068·
 1991 05  761059.
 1991 06  71083·
 1991 07  831133.
 1991 08  241132·
 1991 09  501106.
 1991 10  391081.
 1991 11  11102·
 1991 12  811053.
 1992 01 831033.
 1992 02 241020.
 1992 03 10968·
 1992 04 37987.
 1992 05 19956.
 1992 06 37960·
 1992 07 17955·
 1992 08 32990.
 1992 09 29978·
 1992 10 78965.
 1992 11 521002·
 1992 12 27990.
 1993 01  51013.
 1993 02  731006·
 1993 03  74986.
 1993 04  10998·
 1993 05  68989·
 1993 06  73968.
 1993 07  64975·
 1993 08  94996·
 1993 09  611000·
 1993 10  52995·
 1993 11  28972·
 1993 12  18980·
 1994 01 53995.
 1994 02 11989.
 1994 03 97942.
 1994 04 44950·
 1994 05 39894·
 1994 06 76903·
 1994 07 29960.
 1994 08 60904.
 1994 09 38905.
 1994 10 96852·
 1994 11 6887.
 1994 12 79929.
 1995 01  93952·
 1995 02  47931·
 1995 03  33921·
 1995 04  38958.
 1995 05  75989·
 1995 06  31950·
 1995 07  42970·
 1995 08  1978.
 1995 09  77958·
 1995 10  71970.
 1995 11  91968·
 1995 12  56943·
 1996 01 18939·
 1996 02 18936.
 1996 03 60922·
 1996 04 15921·
 1996 05 42977.
 1996 06 48969.
 1996 07 57959.
 1996 08 16962.
 1996 09 19939.
 1996 10 61972·
 1996 11 13932·
 1996 12 23967·
 1997 01  43937.
 1997 02  83928·
 1997 03  84960·
 1997 04  22968·
 1997 05  33976.
 1997 06  64988.
 1997 07  53987.
 1997 08  28964·
 1997 09  32944.
 1997 10  79967·
 1997 11  26916·
 1997 12  77887·
 1998 01 11931.
 1998 02 29914.
 1998 03 34962.
 1998 04 34932.
 1998 05 63937·
 1998 06 39977·
 1998 07 35997.
 1998 08 851004·
 1998 09 71051.
 1998 10 591026.
 1998 11 91036·
 1998 12 431070·
 1999 01  881083.
 1999 02  651041·
 1999 03  641050.
 1999 04  47980.
 1999 05  75968.
 1999 06  57980·
 1999 07  31969.
 1999 08  59988·
 1999 09  611046.
 1999 10  621087.
 1999 11  671041.
 1999 12  681006.
 2000 01 671014.
 2000 02 281049.
 2000 03 531001.
 2000 04 851019·
 2000 05 351024·
 2000 06 31990·
 2000 07 96964.
 2000 08 50947.
 2000 09 36998.
 2000 10 731004·
 2000 11 281020·
 2000 12 251007.
 2001 01  641025.
 2001 02  771040.
 2001 03  51028.
 2001 04  971041.
 2001 05  361033.
 2001 06  95994·
 2001 07  10993·
 2001 08  80997.
 2001 09  99983.
 2001 10  31019·
 2001 11  48996·


 2001 12  11977.
 2002 01 20961.
 2002 02 99931·
 2002 03 51934.
 2002 04 54966.
 2002 05 941020·
 2002 06 111063.
 2002 07 761059·
 2002 08 971050.
 2002 09 411009·
 2002 10 87983·
 2002 11 41063.
 2002 12 511104·
 2003 01  31062·
 2003 02  41061.

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 Female: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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