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 Series Title: NOT IN LABOR FORCE 60-61 yrs. White Female: NSA (Thousands)
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 1976 06 561157·
 1976 07 791178·
 1976 08 651132·
 1976 09 791156·
 1976 10 111111·
 1976 11 511129.
 1976 12 941097.
 1977 01  631122·
 1977 02  621118.
 1977 03  531106·
 1977 04  561125.
 1977 05  781130.
 1977 06  621131·
 1977 07  661133·
 1977 08  631145·
 1977 09  661152·
 1977 10  851165.
 1977 11  971163·
 1977 12  521154·
 1978 01 981153·
 1978 02 321122.
 1978 03 781121.
 1978 04 881115.
 1978 05 671147·
 1978 06 281167.
 1978 07 651192.
 1978 08 571185.
 1978 09 931145.
 1978 10 241140·
 1978 11 401145.
 1978 12 731134·
 1979 01  191128.
 1979 02  951131·
 1979 03  101129.
 1979 04  731127·
 1979 05  151161·
 1979 06  401171.
 1979 07  61184.
 1979 08  211194·
 1979 09  751182.
 1979 10  871180·
 1979 11  851173·
 1979 12  41175.
 1980 01 181190·
 1980 02 851181.
 1980 03 281208·
 1980 04 351207.
 1980 05 881235.
 1980 06 91227.
 1980 07 421260.
 1980 08 531264.
 1980 09 541251.
 1980 10 601296.
 1980 11 591299·
 1980 12 191303·
 1981 01  111268.
 1981 02  631253.
 1981 03  351238·
 1981 04  221229·
 1981 05  781276·
 1981 06  691296.
 1981 07  531318.
 1981 08  751323.
 1981 09  981302·
 1981 10  531275.
 1981 11  181274·
 1981 12  151248.
 1982 01 411244·
 1982 02 161261.
 1982 03 631274.
 1982 04 61281.
 1982 05 11305.
 1982 06 821320.
 1982 07 431322·
 1982 08 361320·
 1982 09 971247.
 1982 10 31254.
 1982 11 411251.
 1982 12 161235.
 1983 01  741206.
 1983 02  531251·
 1983 03  641276·
 1983 04  861311·
 1983 05  01305·
 1983 06  331286.
 1983 07  421284.
 1983 08  81232.
 1983 09  691237.
 1983 10  691253.
 1983 11  321263·
 1983 12  701277.
 1984 01 21280.
 1984 02 101266.
 1984 03 171250.
 1984 04 851257·
 1984 05 411226·
 1984 06 331270.
 1984 07 31286.
 1984 08 901278·
 1984 09 561298.
 1984 10 371299·
 1984 11 211286·
 1984 12 491284.
 1985 01  411264.
 1985 02  481256.
 1985 03  291236·
 1985 04  501275.
 1985 05  161225·
 1985 06  171285.
 1985 07  71311.
 1985 08  51261·
 1985 09  241292.
 1985 10  181282·
 1985 11  621299.
 1985 12  531279·
 1986 01 351287·
 1986 02 521288.
 1986 03 261300.
 1986 04 551282·
 1986 05 421254.
 1986 06 451275·
 1986 07 561261·
 1986 08 11224.
 1986 09 651233.
 1986 10 471210.
 1986 11 341202.
 1986 12 31226.
 1987 01  481241·
 1987 02  331220.
 1987 03  651238·
 1987 04  981211·
 1987 05  611224.
 1987 06  41253·
 1987 07  821262·
 1987 08  511214.
 1987 09  961232·
 1987 10  851196.
 1987 11  411177.
 1987 12  481209·
 1988 01 741202·
 1988 02 261198·
 1988 03 241217.
 1988 04 21206.
 1988 05 391238·
 1988 06 41235·
 1988 07 371263·
 1988 08 521248·
 1988 09 591172.
 1988 10 171119·
 1988 11 131128·
 1988 12 611131.
 1989 01  291090·
 1989 02  921160·
 1989 03  71159·
 1989 04  151161·
 1989 05  681179·
 1989 06  801185·
 1989 07  21180·
 1989 08  291147.
 1989 09  201144·
 1989 10  541121.
 1989 11  41128·
 1989 12  401098·
 1990 01 551055·
 1990 02 171086·
 1990 03 451082.
 1990 04 101097.
 1990 05 661095·
 1990 06 921089.
 1990 07 801063·
 1990 08 291102.
 1990 09 721082·
 1990 10 321062·
 1990 11 931094·
 1990 12 81081.
 1991 01  181089.
 1991 02  101072.
 1991 03  901063.
 1991 04  851068.
 1991 05  731059·
 1991 06  281083.
 1991 07  21133.
 1991 08  251132.
 1991 09  311106.
 1991 10  101081.
 1991 11  851102.
 1991 12  131053.
 1992 01 111033·
 1992 02 81020·
 1992 03 22968.
 1992 04 64987·
 1992 05 57956.
 1992 06 96960.
 1992 07 20955.
 1992 08 14990·
 1992 09 38978·
 1992 10 75965.
 1992 11 91002·
 1992 12 28990·
 1993 01  491013·
 1993 02  701006.
 1993 03  47986·
 1993 04  93998.
 1993 05  9989·
 1993 06  33968.
 1993 07  15975·
 1993 08  21996·
 1993 09  621000·
 1993 10  37995·
 1993 11  19972·
 1993 12  52980·
 1994 01 76995.
 1994 02 84989·
 1994 03 92942·
 1994 04 46950·
 1994 05 47894.
 1994 06 98903·
 1994 07 90960.
 1994 08 94904·
 1994 09 92905·
 1994 10 31852·
 1994 11 95887.
 1994 12 6929.
 1995 01  58952·
 1995 02  58931·
 1995 03  13921·
 1995 04  22958.
 1995 05  11989.
 1995 06  79950·
 1995 07  76970·
 1995 08  4978·
 1995 09  48958.
 1995 10  19970·
 1995 11  40968·
 1995 12  40943.
 1996 01 86939.
 1996 02 29936·
 1996 03 88922·
 1996 04 43921·
 1996 05 70977·
 1996 06 85969·
 1996 07 25959·
 1996 08 51962·
 1996 09 69939.
 1996 10 86972·
 1996 11 85932·
 1996 12 27967·
 1997 01  77937·
 1997 02  58928.
 1997 03  22960·
 1997 04  58968·
 1997 05  14976·
 1997 06  51988.
 1997 07  19987·
 1997 08  57964·
 1997 09  23944·
 1997 10  41967.
 1997 11  82916.
 1997 12  63887.
 1998 01 74931.
 1998 02 29914.
 1998 03 44962·
 1998 04 38932.
 1998 05 60937·
 1998 06 39977.
 1998 07 60997.
 1998 08 711004·
 1998 09 21051.
 1998 10 221026·
 1998 11 131036·
 1998 12 731070.
 1999 01  421083.
 1999 02  531041·
 1999 03  91050·
 1999 04  84980·
 1999 05  51968·
 1999 06  33980·
 1999 07  79969·
 1999 08  65988·
 1999 09  221046.
 1999 10  871087·
 1999 11  811041·
 1999 12  51006.
 2000 01 751014.
 2000 02 661049.
 2000 03 951001·
 2000 04 161019.
 2000 05 531024·
 2000 06 45990·
 2000 07 29964·
 2000 08 37947·
 2000 09 26998·
 2000 10 241004.
 2000 11 141020·
 2000 12 311007.
 2001 01  871025·
 2001 02  291040·
 2001 03  81028·
 2001 04  851041.
 2001 05  571033.
 2001 06  10994·
 2001 07  90993.
 2001 08  12997.
 2001 09  79983·
 2001 10  421019·
 2001 11  69996.


 2001 12  50977·
 2002 01 23961.
 2002 02 26931·
 2002 03 75934·
 2002 04 61966·
 2002 05 811020.
 2002 06 881063·
 2002 07 661059.
 2002 08 351050·
 2002 09 751009·
 2002 10 77983.
 2002 11 231063.
 2002 12 841104.
 2003 01  471062.
 2003 02  701061.

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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