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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 551157.
 1976 07 161178·
 1976 08 431132·
 1976 09 151156.
 1976 10 331111·
 1976 11 21129·
 1976 12 271097·
 1977 01  451122.
 1977 02  711118.
 1977 03  811106·
 1977 04  61125·
 1977 05  671130.
 1977 06  201131·
 1977 07  331133·
 1977 08  931145·
 1977 09  261152.
 1977 10  541165·
 1977 11  661163·
 1977 12  251154·
 1978 01 911153·
 1978 02 741122·
 1978 03 111121.
 1978 04 651115·
 1978 05 561147.
 1978 06 71167.
 1978 07 251192·
 1978 08 21185.
 1978 09 391145.
 1978 10 11140.
 1978 11 891145·
 1978 12 481134.
 1979 01  861128.
 1979 02  331131·
 1979 03  111129.
 1979 04  411127·
 1979 05  651161.
 1979 06  21171·
 1979 07  211184.
 1979 08  431194.
 1979 09  701182·
 1979 10  351180·
 1979 11  761173.
 1979 12  441175.
 1980 01 211190.
 1980 02 811181.
 1980 03 591208.
 1980 04 551207·
 1980 05 621235·
 1980 06 171227.
 1980 07 751260·
 1980 08 141264.
 1980 09 611251.
 1980 10 411296.
 1980 11 561299.
 1980 12 851303·
 1981 01  141268·
 1981 02  811253·
 1981 03  591238.
 1981 04  561229.
 1981 05  381276.
 1981 06  851296·
 1981 07  661318.
 1981 08  391323·
 1981 09  791302·
 1981 10  311275.
 1981 11  831274·
 1981 12  711248·
 1982 01 51244.
 1982 02 171261.
 1982 03 421274.
 1982 04 171281·
 1982 05 101305·
 1982 06 691320·
 1982 07 991322·
 1982 08 641320·
 1982 09 151247.
 1982 10 381254.
 1982 11 361251·
 1982 12 251235·
 1983 01  621206·
 1983 02  01251·
 1983 03  601276·
 1983 04  371311·
 1983 05  211305.
 1983 06  541286.
 1983 07  31284·
 1983 08  641232·
 1983 09  861237·
 1983 10  251253·
 1983 11  201263·
 1983 12  931277.
 1984 01 761280·
 1984 02 651266·
 1984 03 941250·
 1984 04 381257.
 1984 05 361226·
 1984 06 491270·
 1984 07 321286.
 1984 08 351278.
 1984 09 341298.
 1984 10 771299·
 1984 11 641286.
 1984 12 501284·
 1985 01  651264·
 1985 02  741256·
 1985 03  481236·
 1985 04  681275.
 1985 05  481225·
 1985 06  911285·
 1985 07  661311·
 1985 08  31261·
 1985 09  261292.
 1985 10  41282.
 1985 11  231299.
 1985 12  921279.
 1986 01 701287·
 1986 02 121288·
 1986 03 511300.
 1986 04 01282·
 1986 05 731254·
 1986 06 411275.
 1986 07 81261.
 1986 08 131224.
 1986 09 541233·
 1986 10 411210.
 1986 11 751202.
 1986 12 451226.
 1987 01  581241·
 1987 02  891220·
 1987 03  581238.
 1987 04  331211·
 1987 05  531224·
 1987 06  831253·
 1987 07  891262·
 1987 08  401214.
 1987 09  341232.
 1987 10  501196.
 1987 11  251177.
 1987 12  541209·
 1988 01 201202·
 1988 02 401198·
 1988 03 471217·
 1988 04 891206·
 1988 05 551238·
 1988 06 281235.
 1988 07 621263.
 1988 08 811248.
 1988 09 81172.
 1988 10 161119.
 1988 11 21128·
 1988 12 951131.
 1989 01  741090.
 1989 02  271160·
 1989 03  231159·
 1989 04  171161·
 1989 05  711179.
 1989 06  131185·
 1989 07  71180.
 1989 08  601147·
 1989 09  441144·
 1989 10  491121.
 1989 11  611128·
 1989 12  631098.
 1990 01 611055·
 1990 02 351086·
 1990 03 161082·
 1990 04 891097·
 1990 05 171095.
 1990 06 961089.
 1990 07 281063.
 1990 08 241102·
 1990 09 321082.
 1990 10 841062·
 1990 11 801094·
 1990 12 831081·
 1991 01  481089.
 1991 02  741072·
 1991 03  791063·
 1991 04  31068.
 1991 05  361059·
 1991 06  651083.
 1991 07  551133.
 1991 08  471132·
 1991 09  891106·
 1991 10  841081.
 1991 11  651102.
 1991 12  31053·
 1992 01 271033.
 1992 02 801020·
 1992 03 92968.
 1992 04 84987·
 1992 05 94956.
 1992 06 29960.
 1992 07 41955·
 1992 08 27990.
 1992 09 59978·
 1992 10 32965·
 1992 11 441002·
 1992 12 96990.
 1993 01  151013.
 1993 02  141006·
 1993 03  59986.
 1993 04  78998·
 1993 05  83989.
 1993 06  24968.
 1993 07  66975.
 1993 08  86996·
 1993 09  61000·
 1993 10  40995·
 1993 11  72972·
 1993 12  59980.
 1994 01 53995.
 1994 02 60989·
 1994 03 9942·
 1994 04 58950.
 1994 05 20894·
 1994 06 11903·
 1994 07 34960.
 1994 08 73904·
 1994 09 23905·
 1994 10 43852.
 1994 11 28887.
 1994 12 15929.
 1995 01  9952·
 1995 02  31931.
 1995 03  98921·
 1995 04  24958.
 1995 05  46989.
 1995 06  75950.
 1995 07  75970.
 1995 08  61978.
 1995 09  27958.
 1995 10  1970.
 1995 11  16968.
 1995 12  14943·
 1996 01 74939·
 1996 02 60936·
 1996 03 3922·
 1996 04 97921·
 1996 05 28977·
 1996 06 27969·
 1996 07 42959·
 1996 08 47962.
 1996 09 60939·
 1996 10 1972.
 1996 11 66932·
 1996 12 28967·
 1997 01  64937·
 1997 02  9928·
 1997 03  30960.
 1997 04  26968.
 1997 05  59976·
 1997 06  1988.
 1997 07  16987·
 1997 08  55964.
 1997 09  88944·
 1997 10  53967.
 1997 11  32916.
 1997 12  54887·
 1998 01 22931.
 1998 02 64914.
 1998 03 7962·
 1998 04 84932.
 1998 05 54937.
 1998 06 60977·
 1998 07 0997.
 1998 08 341004·
 1998 09 41051·
 1998 10 921026.
 1998 11 921036.
 1998 12 161070·
 1999 01  151083.
 1999 02  341041.
 1999 03  901050.
 1999 04  69980·
 1999 05  57968.
 1999 06  88980.
 1999 07  24969·
 1999 08  55988.
 1999 09  231046.
 1999 10  781087.
 1999 11  531041.
 1999 12  621006·
 2000 01 341014.
 2000 02 561049.
 2000 03 561001.
 2000 04 41019.
 2000 05 321024·
 2000 06 96990.
 2000 07 42964·
 2000 08 17947.
 2000 09 88998·
 2000 10 981004·
 2000 11 421020.
 2000 12 651007.
 2001 01  951025·
 2001 02  891040.
 2001 03  121028·
 2001 04  371041.
 2001 05  731033.
 2001 06  19994·
 2001 07  34993.
 2001 08  43997·
 2001 09  66983·
 2001 10  621019.
 2001 11  14996.


 2001 12  24977·
 2002 01 42961·
 2002 02 20931·
 2002 03 85934.
 2002 04 40966·
 2002 05 971020.
 2002 06 181063.
 2002 07 21059.
 2002 08 821050·
 2002 09 481009.
 2002 10 6983.
 2002 11 491063·
 2002 12 601104·
 2003 01  411062.
 2003 02  591061·

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
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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