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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 281157.
 1976 07 831178·
 1976 08 871132·
 1976 09 811156.
 1976 10 271111.
 1976 11 941129.
 1976 12 491097.
 1977 01  911122.
 1977 02  991118·
 1977 03  101106.
 1977 04  181125.
 1977 05  71130·
 1977 06  941131.
 1977 07  121133·
 1977 08  81145·
 1977 09  721152.
 1977 10  871165·
 1977 11  61163·
 1977 12  551154.
 1978 01 551153·
 1978 02 791122.
 1978 03 261121·
 1978 04 231115·
 1978 05 501147·
 1978 06 951167.
 1978 07 271192·
 1978 08 991185·
 1978 09 771145·
 1978 10 851140·
 1978 11 901145·
 1978 12 981134.
 1979 01  791128·
 1979 02  261131·
 1979 03  241129.
 1979 04  551127·
 1979 05  261161.
 1979 06  171171.
 1979 07  581184.
 1979 08  361194·
 1979 09  121182·
 1979 10  831180·
 1979 11  511173.
 1979 12  261175·
 1980 01 561190·
 1980 02 761181.
 1980 03 821208·
 1980 04 401207·
 1980 05 31235.
 1980 06 701227.
 1980 07 601260.
 1980 08 141264.
 1980 09 201251·
 1980 10 661296·
 1980 11 161299.
 1980 12 131303·
 1981 01  31268.
 1981 02  891253·
 1981 03  61238·
 1981 04  231229.
 1981 05  711276·
 1981 06  901296·
 1981 07  121318·
 1981 08  591323·
 1981 09  671302.
 1981 10  441275·
 1981 11  411274·
 1981 12  571248.
 1982 01 611244.
 1982 02 521261.
 1982 03 241274·
 1982 04 801281·
 1982 05 481305·
 1982 06 381320.
 1982 07 191322.
 1982 08 171320·
 1982 09 451247·
 1982 10 531254·
 1982 11 51251·
 1982 12 801235.
 1983 01  981206.
 1983 02  731251.
 1983 03  911276·
 1983 04  71311·
 1983 05  751305.
 1983 06  991286.
 1983 07  81284·
 1983 08  611232·
 1983 09  711237.
 1983 10  541253.
 1983 11  131263·
 1983 12  311277·
 1984 01 41280.
 1984 02 901266·
 1984 03 861250·
 1984 04 281257·
 1984 05 201226.
 1984 06 831270.
 1984 07 361286·
 1984 08 911278.
 1984 09 861298.
 1984 10 321299·
 1984 11 921286.
 1984 12 821284·
 1985 01  971264·
 1985 02  631256·
 1985 03  131236·
 1985 04  911275·
 1985 05  731225.
 1985 06  271285.
 1985 07  801311.
 1985 08  281261.
 1985 09  571292.
 1985 10  981282.
 1985 11  991299·
 1985 12  331279·
 1986 01 191287·
 1986 02 771288·
 1986 03 21300·
 1986 04 681282.
 1986 05 531254.
 1986 06 901275·
 1986 07 461261·
 1986 08 211224.
 1986 09 771233.
 1986 10 871210.
 1986 11 121202·
 1986 12 51226·
 1987 01  361241.
 1987 02  431220·
 1987 03  71238.
 1987 04  581211·
 1987 05  01224.
 1987 06  581253.
 1987 07  621262.
 1987 08  431214·
 1987 09  621232.
 1987 10  591196·
 1987 11  351177·
 1987 12  481209·
 1988 01 411202.
 1988 02 961198.
 1988 03 71217·
 1988 04 851206.
 1988 05 821238·
 1988 06 431235.
 1988 07 841263.
 1988 08 921248·
 1988 09 531172.
 1988 10 11119·
 1988 11 981128.
 1988 12 331131·
 1989 01  491090·
 1989 02  961160·
 1989 03  61159·
 1989 04  951161·
 1989 05  891179·
 1989 06  781185.
 1989 07  901180.
 1989 08  911147·
 1989 09  181144.
 1989 10  231121.
 1989 11  551128.
 1989 12  591098.
 1990 01 31055·
 1990 02 301086·
 1990 03 341082·
 1990 04 621097.
 1990 05 401095.
 1990 06 261089.
 1990 07 841063.
 1990 08 881102·
 1990 09 481082·
 1990 10 601062·
 1990 11 851094.
 1990 12 501081·
 1991 01  701089.
 1991 02  81072.
 1991 03  461063.
 1991 04  851068.
 1991 05  761059.
 1991 06  711083·
 1991 07  961133·
 1991 08  561132.
 1991 09  601106.
 1991 10  731081·
 1991 11  931102·
 1991 12  521053·
 1992 01 411033·
 1992 02 661020·
 1992 03 19968·
 1992 04 85987·
 1992 05 64956·
 1992 06 24960·
 1992 07 80955·
 1992 08 93990·
 1992 09 96978·
 1992 10 48965·
 1992 11 81002.
 1992 12 39990.
 1993 01  341013.
 1993 02  631006.
 1993 03  60986·
 1993 04  12998·
 1993 05  94989·
 1993 06  21968.
 1993 07  16975.
 1993 08  23996·
 1993 09  231000·
 1993 10  95995·
 1993 11  84972·
 1993 12  10980·
 1994 01 89995·
 1994 02 87989·
 1994 03 96942·
 1994 04 37950.
 1994 05 86894.
 1994 06 21903.
 1994 07 8960.
 1994 08 92904.
 1994 09 33905.
 1994 10 49852.
 1994 11 1887·
 1994 12 87929·
 1995 01  74952.
 1995 02  46931·
 1995 03  83921·
 1995 04  60958·
 1995 05  79989.
 1995 06  11950·
 1995 07  84970.
 1995 08  75978·
 1995 09  41958.
 1995 10  72970·
 1995 11  62968.
 1995 12  18943·
 1996 01 80939.
 1996 02 77936.
 1996 03 99922.
 1996 04 4921.
 1996 05 41977·
 1996 06 2969·
 1996 07 0959.
 1996 08 69962·
 1996 09 91939.
 1996 10 48972.
 1996 11 98932.
 1996 12 77967·
 1997 01  25937.
 1997 02  40928.
 1997 03  49960.
 1997 04  15968·
 1997 05  63976.
 1997 06  28988.
 1997 07  35987.
 1997 08  97964·
 1997 09  49944.
 1997 10  88967·
 1997 11  62916·
 1997 12  61887·
 1998 01 51931.
 1998 02 21914·
 1998 03 62962.
 1998 04 68932·
 1998 05 63937.
 1998 06 51977·
 1998 07 92997.
 1998 08 81004.
 1998 09 61051·
 1998 10 281026·
 1998 11 331036.
 1998 12 931070.
 1999 01  231083.
 1999 02  301041.
 1999 03  931050.
 1999 04  61980.
 1999 05  82968.
 1999 06  55980·
 1999 07  2969.
 1999 08  75988·
 1999 09  801046·
 1999 10  291087·
 1999 11  171041·
 1999 12  221006·
 2000 01 331014.
 2000 02 31049.
 2000 03 201001.
 2000 04 161019·
 2000 05 881024.
 2000 06 51990·
 2000 07 18964.
 2000 08 94947.
 2000 09 12998·
 2000 10 751004·
 2000 11 421020.
 2000 12 201007.
 2001 01  01025.
 2001 02  01040·
 2001 03  491028·
 2001 04  811041·
 2001 05  711033.
 2001 06  76994·
 2001 07  20993·
 2001 08  91997·
 2001 09  69983·
 2001 10  781019·
 2001 11  62996·


 2001 12  86977.
 2002 01 63961·
 2002 02 7931.
 2002 03 7934.
 2002 04 30966.
 2002 05 481020·
 2002 06 891063·
 2002 07 121059.
 2002 08 121050·
 2002 09 431009.
 2002 10 73983.
 2002 11 581063·
 2002 12 431104·
 2003 01  911062·
 2003 02  351061.

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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