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 Series Title: Employment Level: Nonagriculture, Government Wage and Salary Workers, 20-24 years, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 47530·
 2012 03 18560.
 2012 02 86533·
 2012 01 34477·
 2011 12  72480·
 2011 11  9515·
 2011 10  58562·
 2011 09  60547.
 2011 08  38505·
 2011 07  74540.
 2011 06  6594.
 2011 05  59603.
 2011 04  96680·
 2011 03  94669·
 2011 02  42622·
 2011 01  76612.
 2010 12 21593.
 2010 11 75567.
 2010 10 6557·
 2010 09 80574.
 2010 08 14474·
 2010 07 50568.
 2010 06 59606.
 2010 05 65692.
 2010 04 99742·
 2010 03 75688.
 2010 02 89664·
 2010 01 50624·
 2009 12  28622.
 2009 11  31665.
 2009 10  10646.
 2009 09  80648·
 2009 08  75589.
 2009 07  26628.
 2009 06  59620·
 2009 05  23646.
 2009 04  42697·
 2009 03  91686.
 2009 02  99662·
 2009 01  74699·
 2008 12 53736·
 2008 11 83761.
 2008 10 19786.
 2008 09 51681.
 2008 08 59645.
 2008 07 82591·
 2008 06 30578·
 2008 05 0633.
 2008 04 35617·
 2008 03 97609.
 2008 02 71615·
 2008 01 88654·
 2007 12  81683·
 2007 11  58728·
 2007 10  4679.
 2007 09  11707·
 2007 08  24637.
 2007 07  22649.
 2007 06  19659·
 2007 05  87718.
 2007 04  13746·
 2007 03  71747.
 2007 02  27653·
 2007 01  61677.
 2006 12 24690.
 2006 11 12701·
 2006 10 66668.
 2006 09 1599·
 2006 08 57555.
 2006 07 75615.
 2006 06 99562.
 2006 05 2618·
 2006 04 38630.
 2006 03 19620·
 2006 02 15589·
 2006 01 83590·
 2005 12  17566·
 2005 11  23573.
 2005 10  25609·
 2005 09  88629.
 2005 08  69576·
 2005 07  96608·
 2005 06  69618.
 2005 05  86644·
 2005 04  94597·
 2005 03  68596·
 2005 02  8578·
 2005 01  72604·
 2004 12 19613·
 2004 11 97644.
 2004 10 32631.
 2004 09 64604.
 2004 08 94576.
 2004 07 63582·
 2004 06 51668·
 2004 05 6637.
 2004 04 93690·
 2004 03 74647·
 2004 02 6623·
 2004 01 69615·
 2003 12  18664.
 2003 11  61660·
 2003 10  57646·
 2003 09  45614·
 2003 08  94548.
 2003 07  81489.
 2003 06  94573·
 2003 05  54605·
 2003 04  70631·
 2003 03  16624.
 2003 02  29665·
 2003 01  41706.
 2002 12 23673.
 2002 11 72703·
 2002 10 0654.
 2002 09 73643·
 2002 08 53634.
 2002 07 80636·
 2002 06 71571.
 2002 05 47602·
 2002 04 86647.
 2002 03 98633·
 2002 02 28718.
 2002 01 79657·
 2001 12  71649.
 2001 11  7669.
 2001 10  84621.
 2001 09  16612.
 2001 08  84620·
 2001 07  13651.
 2001 06  79626·
 2001 05  25627.
 2001 04  25689·
 2001 03  49731.
 2001 02  73738.
 2001 01  2738.
 2000 12 20755·
 2000 11 71722·
 2000 10 57688·
 2000 09 65679.
 2000 08 20616.
 2000 07 61618·
 2000 06 41582·
 2000 05 58533·
 2000 04 99623.
 2000 03 24620·
 2000 02 65646·
 2000 01 50671·
 1999 12  58664·
 1999 11  94617·
 1999 10  91574·
 1999 09  36589.
 1999 08  23510·
 1999 07  26570·
 1999 06  7545.
 1999 05  35583·
 1999 04  43605·
 1999 03  2619·
 1999 02  25591.
 1999 01  90586.
 1998 12 94582.
 1998 11 30577·
 1998 10 85585.
 1998 09 72530·
 1998 08 77514·
 1998 07 39521.
 1998 06 48539·
 1998 05 74542.
 1998 04 17598·
 1998 03 88636.
 1998 02 3617·
 1998 01 15603.
 1997 12  65591.
 1997 11  57584·
 1997 10  62533.
 1997 09  39498.
 1997 08  95441.
 1997 07  54466·
 1997 06  63485.
 1997 05  16498·
 1997 04  8556.
 1997 03  10613.
 1997 02  69594.
 1997 01  40555·
 1996 12 30539.
 1996 11 81515.
 1996 10 69466·
 1996 09 30494.
 1996 08 11480.
 1996 07 50479·
 1996 06 75534.
 1996 05 29499·
 1996 04 26606·
 1996 03 23616.
 1996 02 24551.
 1996 01 8524·
 1995 12  76520.
 1995 11  31518·
 1995 10  81549.
 1995 09  60539.
 1995 08  85527.
 1995 07  32573·
 1995 06  32556·
 1995 05  4584·
 1995 04  6587.
 1995 03  6606·
 1995 02  90583.
 1995 01  85589·
 1994 12 12562.
 1994 11 61494·
 1994 10 94545·
 1994 09 72536·
 1994 08 4577·
 1994 07 28577·
 1994 06 6601·
 1994 05 58580·
 1994 04 8604.
 1994 03 64648·
 1994 02 15614.
 1994 01 64602.
 1993 12  75620.
 1993 11  50606.
 1993 10  32630·
 1993 09  32587.
 1993 08  78532·
 1993 07  93606·
 1993 06  97548·
 1993 05  33610.
 1993 04  19692·
 1993 03  25696·
 1993 02  71619·
 1993 01  60602·
 1992 12 24648.
 1992 11 2644·
 1992 10 44616·
 1992 09 33611·
 1992 08 42584·
 1992 07 6576.
 1992 06 27564.
 1992 05 96597·
 1992 04 49620.
 1992 03 44603.
 1992 02 58623·
 1992 01 17627·
 1991 12  46641·
 1991 11  48677.
 1991 10  1684.
 1991 09  91609.
 1991 08  57529.
 1991 07  73567.
 1991 06  44561.
 1991 05  37565.
 1991 04  34611·
 1991 03  1639·
 1991 02  98621·
 1991 01  0632.
 1990 12 51690.
 1990 11 40651·
 1990 10 3674·
 1990 09 48636.
 1990 08 9591·
 1990 07 21614·
 1990 06 21621.
 1990 05 75674.
 1990 04 33681·
 1990 03 0674·
 1990 02 39643.
 1990 01 2605.
 1989 12  75593.
 1989 11  59608·
 1989 10  72594.
 1989 09  71604.
 1989 08  8605·
 1989 07  5626.
 1989 06  56629.
 1989 05  51627·
 1989 04  33602·
 1989 03  69644·
 1989 02  54660.
 1989 01  38611·
 1988 12 77638.
 1988 11 9593.
 1988 10 56613.
 1988 09 51602.
 1988 08 89517.
 1988 07 5592·
 1988 06 72576·
 1988 05 32537.
 1988 04 45626.
 1988 03 64657·
 1988 02 42687·
 1988 01 52678.
 1987 12  44641.
 1987 11  18648·
 1987 10  28637·
 1987 09  5606.
 1987 08  13566·
 1987 07  24676·
 1987 06  18628.
 1987 05  9631·
 1987 04  2664·
 1987 03  63659.
 1987 02  25683·
 1987 01  10627·
 1986 12 87642.
 1986 11 43708.
 1986 10 86681.
 1986 09 75629·
 1986 08 67634.
 1986 07 93653.
 1986 06 66609.
 1986 05 0658.
 1986 04 68680.
 1986 03 72661·
 1986 02 51639·
 1986 01 3605·
 1985 12  40658.
 1985 11  60653.
 1985 10  54649·
 1985 09  29631·
 1985 08  59646·
 1985 07  65657·
 1985 06  14639.
 1985 05  46673.
 1985 04  25704.
 1985 03  18702·
 1985 02  93717·
 1985 01  49612.
 1984 12 64657·
 1984 11 76677·
 1984 10 80669·
 1984 09 57664.
 1984 08 26637.
 1984 07 20657.
 1984 06 86640·
 1984 05 14705.
 1984 04 86655·
 1984 03 57660.
 1984 02 50663.
 1984 01 89621.
 1983 12  45652.
 1983 11  19697.
 1983 10  35718.
 1983 09  76674·
 1983 08  29669·
 1983 07  62694·
 1983 06  29703·
 1983 05  95707.
 1983 04  86745·
 1983 03  68742·
 1983 02  45737·
 1983 01  90698.
 1982 12 94732.
 1982 11 43752·
 1982 10 20742·
 1982 09 29754·
 1982 08 52752·
 1982 07 20770·
 1982 06 17749.
 1982 05 7797·
 1982 04 86820·
 1982 03 54827·
 1982 02 25843.
 1982 01 44834·
 1981 12  45805·
 1981 11  28807·
 1981 10  55855.
 1981 09  82792.
 1981 08  7780.
 1981 07  48764.
 1981 06  47749·
 1981 05  92788.
 1981 04  70845·
 1981 03  46811·
 1981 02  63827·
 1981 01  67863·
 1980 12 60868·
 1980 11 79933·
 1980 10 91967·
 1980 09 27931·
 1980 08 29886·
 1980 07 27896·
 1980 06 43860·
 1980 05 15885·
 1980 04 50892.
 1980 03 98880·
 1980 02 58904.
 1980 01 2902·
 1979 12  24936·
 1979 11  23946.
 1979 10  99945.
 1979 09  80884·
 1979 08  78829·
 1979 07  60853.
 1979 06  53842.
 1979 05  70957.
 1979 04  61941.
 1979 03  89940.
 1979 02  33950.
 1979 01  15955.
 1978 12 48949.
 1978 11 17945·
 1978 10 78958·
 1978 09 84949.
 1978 08 40916·
 1978 07 76943·
 1978 06 49958·
 1978 05 72946·
 1978 04 63946.
 1978 03 23945·
 1978 02 36976.
 1978 01 981015.
 1977 12  661039·
 1977 11  38979·
 1977 10  501008·
 1977 09  5979·
 1977 08  26897·
 1977 07  30903·
 1977 06  30887.
 1977 05  64913·
 1977 04  42995.
 1977 03  29968·
 1977 02  39970·
 1977 01  671011·
 1976 12 411005·
 1976 11 921023.
 1976 10 64992·
 1976 09 35986·
 1976 08 71995·
 1976 07 1978.
 1976 06 19989·
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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.
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      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: Employment Level: Nonagriculture, Government Wage and Salary Workers, 20-24 years, Women: NSA
   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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