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 Series Title: NOT IN LABOR FORCE 60-61 yrs. Female: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2003 02  761282·
 2003 01  981292.
 2002 12 621329·
 2002 11 141234.
 2002 10 251166·
 2002 09 671173·
 2002 08 151217.
 2002 07 741243·
 2002 06 281272·
 2002 05 221232.
 2002 04 561168·
 2002 03 191138.
 2002 02 361131.
 2002 01 441133.
 2001 12  991169·
 2001 11  951186.
 2001 10  231216.
 2001 09  411164.
 2001 08  801207.
 2001 07  701175.
 2001 06  891178.
 2001 05  431219·
 2001 04  641228.
 2001 03  391215.
 2001 02  621232·
 2001 01  81208·
 2000 12 371191·
 2000 11 211191.
 2000 10 901189.
 2000 09 171191·
 2000 08 141145.
 2000 07 591164.
 2000 06 491198·
 2000 05 771215·
 2000 04 311206·
 2000 03 231171.
 2000 02 401223·
 2000 01 201184·
 1999 12  521188.
 1999 11  81243·
 1999 10  881273.
 1999 09  11239·
 1999 08  641150.
 1999 07  321143.
 1999 06  431156.
 1999 05  31150.
 1999 04  811150·
 1999 03  391216·
 1999 02  811231·
 1999 01  331252.
 1998 12 401243·
 1998 11 991213.
 1998 10 21192·
 1998 09 211234·
 1998 08 51197.
 1998 07 51204.
 1998 06 321179·
 1998 05 261126.
 1998 04 621097·
 1998 03 781140·
 1998 02 201104·
 1998 01 271122·
 1997 12  261058.
 1997 11  601104·
 1997 10  431124.
 1997 09  331116.
 1997 08  331159.
 1997 07  221170.
 1997 06  11164.
 1997 05  741130·
 1997 04  471133.
 1997 03  571117.
 1997 02  181092.
 1997 01  71124.
 1996 12 561153·
 1996 11 841125·
 1996 10 471161.
 1996 09 141115·
 1996 08 721153·
 1996 07 481152.
 1996 06 611157.
 1996 05 21165.
 1996 04 341097·
 1996 03 171099·
 1996 02 611115.
 1996 01 21105.
 1995 12  41130.
 1995 11  861138.
 1995 10  731166.
 1995 09  701157.
 1995 08  701162.
 1995 07  751144.
 1995 06  471121.
 1995 05  891152·
 1995 04  461111·
 1995 03  261066.
 1995 02  581074.
 1995 01  651105·
 1994 12 681096.
 1994 11 101060·
 1994 10 71025·
 1994 09 301074.
 1994 08 11068.
 1994 07 201122·
 1994 06 201071·
 1994 05 401070·
 1994 04 311145.
 1994 03 751132.
 1994 02 461159.
 1994 01 771168.
 1993 12  711154·
 1993 11  201145.
 1993 10  611162.
 1993 09  481183·
 1993 08  611172·
 1993 07  251138·
 1993 06  651108.
 1993 05  841136.
 1993 04  621143.
 1993 03  821151·
 1993 02  841166·
 1993 01  421177·
 1992 12 621156.
 1992 11 111178·
 1992 10 691147·
 1992 09 31156·
 1992 08 741165·
 1992 07 561127.
 1992 06 931130·
 1992 05 751121·
 1992 04 371169.
 1992 03 871142·
 1992 02 591192.
 1992 01 891183.
 1991 12  121209.
 1991 11  971263.
 1991 10  911233·
 1991 09  01265·
 1991 08  891299·
 1991 07  61297·
 1991 06  401265·
 1991 05  921228·
 1991 04  791246·
 1991 03  581254.
 1991 02  811276.
 1991 01  711260·
 1990 12 211251·
 1990 11 221266·
 1990 10 151216·
 1990 09 681245·
 1990 08 771287.
 1990 07 911252.
 1990 06 661263·
 1990 05 411268.
 1990 04 361282.
 1990 03 861252.
 1990 02 861248.
 1990 01 691210.
 1989 12  111274.
 1989 11  511307·
 1989 10  501313·
 1989 09  621322.
 1989 08  381342.
 1989 07  541379·
 1989 06  571345.
 1989 05  491346·
 1989 04  821326.
 1989 03  891308.
 1989 02  341348·
 1989 01  871274.
 1988 12 301320·
 1988 11 761299.
 1988 10 311295.
 1988 09 591331.
 1988 08 941410·
 1988 07 601455·
 1988 06 231419.
 1988 05 711422.
 1988 04 141381.
 1988 03 81382.
 1988 02 111355.
 1988 01 551352.
 1987 12  511361.
 1987 11  161340.
 1987 10  191357·
 1987 09  661400.
 1987 08  941384·
 1987 07  11439.
 1987 06  991426·
 1987 05  871397·
 1987 04  551383.
 1987 03  101390.
 1987 02  261369·
 1987 01  251400.
 1986 12 731400·
 1986 11 101372·
 1986 10 11382·
 1986 09 111403.
 1986 08 101403.
 1986 07 961424·
 1986 06 471455·
 1986 05 11436.
 1986 04 541462·
 1986 03 861474.
 1986 02 171465·
 1986 01 781470.
 1985 12  181444·
 1985 11  261467.
 1985 10  851458.
 1985 09  481455.
 1985 08  401427.
 1985 07  841467.
 1985 06  521440.
 1985 05  431379.
 1985 04  831422.
 1985 03  541393.
 1985 02  431425.
 1985 01  191423·
 1984 12 351433.
 1984 11 561436.
 1984 10 81456.
 1984 09 571448·
 1984 08 81419.
 1984 07 331439·
 1984 06 241414.
 1984 05 661374·
 1984 04 411400.
 1984 03 561400·
 1984 02 901422·
 1984 01 751438.
 1983 12  961428.
 1983 11  171424.
 1983 10  311402·
 1983 09  421379.
 1983 08  621370·
 1983 07  361426.
 1983 06  991421·
 1983 05  491443.
 1983 04  501466·
 1983 03  571419·
 1983 02  681405·
 1983 01  21355·
 1982 12 01382.
 1982 11 491411·
 1982 10 391401·
 1982 09 331397·
 1982 08 731477.
 1982 07 71475·
 1982 06 371468·
 1982 05 981455·
 1982 04 591424.
 1982 03 501404.
 1982 02 131402.
 1982 01 791382·
 1981 12  691384.
 1981 11  211399.
 1981 10  421390.
 1981 09  831420.
 1981 08  421456.
 1981 07  911457.
 1981 06  251430.
 1981 05  411417.
 1981 04  401371.
 1981 03  521374.
 1981 02  861386.
 1981 01  101394.
 1980 12 521427.
 1980 11 241432.
 1980 10 761422.
 1980 09 721366·
 1980 08 901389.
 1980 07 521386·
 1980 06 721358·
 1980 05 331368.
 1980 04 931345.
 1980 03 41346.
 1980 02 721327.
 1980 01 251339·
 1979 12  221311.
 1979 11  751305·
 1979 10  21317.
 1979 09  41309·
 1979 08  661323.
 1979 07  831299·
 1979 06  141299.
 1979 05  531281·
 1979 04  381244·
 1979 03  741246·
 1979 02  811248·
 1979 01  771245.
 1978 12 761252.
 1978 11 151259.
 1978 10 51254·
 1978 09 91260·
 1978 08 431302.
 1978 07 21307.
 1978 06 111286.
 1978 05 51270·
 1978 04 261234.
 1978 03 521235·
 1978 02 501240·
 1978 01 471280·
 1977 12  391274.
 1977 11  121283.
 1977 10  961278.
 1977 09  411257.
 1977 08  191257·
 1977 07  491243.
 1977 06  501245·
 1977 05  191254·
 1977 04  291248·
 1977 03  571235·
 1977 02  381236·
 1977 01  381242·
 1976 12 571207·
 1976 11 561235·
 1976 10 101217·
 1976 09 791259·
 1976 08 161247·
 1976 07 911305·
 1976 06 411287.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

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