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 Series Title: Employment Level: Nonagriculture, Government Wage and Salary Workers, 20-24 years, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 1477·
 2012 03 67428·
 2012 02 19478·
 2012 01 30471·
 2011 12  95504.
 2011 11  11487.
 2011 10  78498·
 2011 09  27453.
 2011 08  67444.
 2011 07  66490.
 2011 06  51444.
 2011 05  35496·
 2011 04  68495.
 2011 03  14520·
 2011 02  50503.
 2011 01  99471·
 2010 12 74500.
 2010 11 60475·
 2010 10 13468.
 2010 09 87497·
 2010 08 85531.
 2010 07 38503·
 2010 06 4499·
 2010 05 94544·
 2010 04 27558.
 2010 03 4521·
 2010 02 9514.
 2010 01 38508.
 2009 12  49511·
 2009 11  38524.
 2009 10  42510·
 2009 09  65429·
 2009 08  28483·
 2009 07  49551.
 2009 06  41558.
 2009 05  42543.
 2009 04  63562.
 2009 03  66599.
 2009 02  69539·
 2009 01  64514·
 2008 12 80499·
 2008 11 48483·
 2008 10 13541·
 2008 09 51506·
 2008 08 29519.
 2008 07 76509·
 2008 06 86505·
 2008 05 46499·
 2008 04 86479.
 2008 03 56444.
 2008 02 27435·
 2008 01 19465·
 2007 12  51490·
 2007 11  20527·
 2007 10  98521·
 2007 09  63527.
 2007 08  50482.
 2007 07  24519·
 2007 06  87511.
 2007 05  99470·
 2007 04  33531·
 2007 03  51507·
 2007 02  7570.
 2007 01  69535.
 2006 12 75553.
 2006 11 7535.
 2006 10 96517·
 2006 09 43537·
 2006 08 76506·
 2006 07 24487·
 2006 06 17479.
 2006 05 16536·
 2006 04 63517·
 2006 03 58485·
 2006 02 57430·
 2006 01 6422·
 2005 12  85416·
 2005 11  90462·
 2005 10  30484·
 2005 09  58440·
 2005 08  19475.
 2005 07  28497.
 2005 06  74553·
 2005 05  40557.
 2005 04  63539.
 2005 03  3491·
 2005 02  50469.
 2005 01  47535.
 2004 12 44556.
 2004 11 72580.
 2004 10 48575·
 2004 09 98506·
 2004 08 12479.
 2004 07 17440·
 2004 06 80438·
 2004 05 38387.
 2004 04 43454.
 2004 03 43476.
 2004 02 84429·
 2004 01 34422.
 2003 12  36480·
 2003 11  83489·
 2003 10  23492.
 2003 09  82454·
 2003 08  17414.
 2003 07  94476·
 2003 06  85471.
 2003 05  1461·
 2003 04  38498·
 2003 03  56478·
 2003 02  82473·
 2003 01  34497·
 2002 12 72473.
 2002 11 77466.
 2002 10 53479.
 2002 09 51506.
 2002 08 20488·
 2002 07 89529·
 2002 06 61540.
 2002 05 46467.
 2002 04 9467·
 2002 03 47513.
 2002 02 93483.
 2002 01 38451.
 2001 12  87469·
 2001 11  34450.
 2001 10  62488.
 2001 09  71469.
 2001 08  31438.
 2001 07  56470.
 2001 06  6435·
 2001 05  15422·
 2001 04  41456.
 2001 03  45424.
 2001 02  88458·
 2001 01  63369.
 2000 12 42395.
 2000 11 57429·
 2000 10 96386·
 2000 09 35414.
 2000 08 86366·
 2000 07 74391·
 2000 06 43435.
 2000 05 74436.
 2000 04 46456.
 2000 03 4455.
 2000 02 66452·
 2000 01 51400.
 1999 12  23481·
 1999 11  76529·
 1999 10  30465·
 1999 09  59441.
 1999 08  44440·
 1999 07  49453·
 1999 06  20448.
 1999 05  17452·
 1999 04  58454·
 1999 03  3439.
 1999 02  51447.
 1999 01  69396·
 1998 12 40447·
 1998 11 46418.
 1998 10 60432.
 1998 09 85364.
 1998 08 92381·
 1998 07 8420·
 1998 06 11443·
 1998 05 58451·
 1998 04 38479.
 1998 03 47432.
 1998 02 90457.
 1998 01 8496.
 1997 12  29443.
 1997 11  45410.
 1997 10  12399.
 1997 09  79379·
 1997 08  40424·
 1997 07  7447.
 1997 06  13419.
 1997 05  41456·
 1997 04  72441.
 1997 03  65439·
 1997 02  57434·
 1997 01  86423.
 1996 12 50449.
 1996 11 77451·
 1996 10 31467.
 1996 09 35459.
 1996 08 24434.
 1996 07 24431·
 1996 06 49422·
 1996 05 31404.
 1996 04 70357.
 1996 03 12389·
 1996 02 48362·
 1996 01 44388·
 1995 12  89425·
 1995 11  73435·
 1995 10  92451.
 1995 09  68420·
 1995 08  5462·
 1995 07  64486.
 1995 06  68493·
 1995 05  21419·
 1995 04  68379·
 1995 03  67410·
 1995 02  89434.
 1995 01  49423·
 1994 12 56480·
 1994 11 87432·
 1994 10 92486.
 1994 09 20439·
 1994 08 67494.
 1994 07 57550.
 1994 06 42567.
 1994 05 28552·
 1994 04 27519·
 1994 03 33485.
 1994 02 25447·
 1994 01 92432.
 1993 12  86507·
 1993 11  97523.
 1993 10  55510.
 1993 09  58521·
 1993 08  21531.
 1993 07  56567·
 1993 06  69523.
 1993 05  93464·
 1993 04  31503·
 1993 03  41539·
 1993 02  31544·
 1993 01  92469.
 1992 12 42516·
 1992 11 8545·
 1992 10 28562·
 1992 09 74527·
 1992 08 3566.
 1992 07 41585·
 1992 06 74480.
 1992 05 83459·
 1992 04 92456.
 1992 03 44476·
 1992 02 5473.
 1992 01 88451·
 1991 12  7503·
 1991 11  50461·
 1991 10  85521·
 1991 09  84478.
 1991 08  74503.
 1991 07  15532.
 1991 06  2525·
 1991 05  90473·
 1991 04  44522·
 1991 03  22547·
 1991 02  69546.
 1991 01  49522·
 1990 12 92509.
 1990 11 76526.
 1990 10 24496.
 1990 09 31488.
 1990 08 19552·
 1990 07 10575.
 1990 06 29572.
 1990 05 30504·
 1990 04 49528.
 1990 03 79515.
 1990 02 72445·
 1990 01 65463.
 1989 12  34480.
 1989 11  67490.
 1989 10  67488.
 1989 09  81433.
 1989 08  48472.
 1989 07  78478·
 1989 06  51489·
 1989 05  46447·
 1989 04  93507.
 1989 03  45558·
 1989 02  87508.
 1989 01  55457·
 1988 12 92420.
 1988 11 25399.
 1988 10 63453·
 1988 09 26443.
 1988 08 98495.
 1988 07 99534.
 1988 06 92516·
 1988 05 4456·
 1988 04 84491·
 1988 03 74485·
 1988 02 11526.
 1988 01 59478.
 1987 12  53456·
 1987 11  81496.
 1987 10  84501.
 1987 09  83514·
 1987 08  28527·
 1987 07  77512·
 1987 06  99537.
 1987 05  97519.
 1987 04  60538.
 1987 03  44580.
 1987 02  68572.
 1987 01  44478·
 1986 12 26494.
 1986 11 89509·
 1986 10 30475.
 1986 09 94479·
 1986 08 24517·
 1986 07 42537.
 1986 06 47519.
 1986 05 40512.
 1986 04 81550·
 1986 03 61537·
 1986 02 6537·
 1986 01 2529·
 1985 12  47534·
 1985 11  28549.
 1985 10  22600·
 1985 09  24573.
 1985 08  97592.
 1985 07  48557.
 1985 06  32500·
 1985 05  76475.
 1985 04  32520.
 1985 03  54542·
 1985 02  98586.
 1985 01  50544·
 1984 12 77627.
 1984 11 2613.
 1984 10 9637·
 1984 09 68549.
 1984 08 82535.
 1984 07 74576·
 1984 06 78585.
 1984 05 71535.
 1984 04 24557·
 1984 03 77526·
 1984 02 42545·
 1984 01 30515·
 1983 12  1536.
 1983 11  41543·
 1983 10  65567.
 1983 09  40546.
 1983 08  41568·
 1983 07  25650.
 1983 06  33587·
 1983 05  18555·
 1983 04  92566.
 1983 03  9541.
 1983 02  61539.
 1983 01  9540·
 1982 12 31585.
 1982 11 0595·
 1982 10 86606·
 1982 09 82568·
 1982 08 57592·
 1982 07 29594.
 1982 06 70551.
 1982 05 32558.
 1982 04 97558.
 1982 03 54576.
 1982 02 3553.
 1982 01 78566.
 1981 12  0619.
 1981 11  56558·
 1981 10  96535.
 1981 09  63534.
 1981 08  43519·
 1981 07  42583.
 1981 06  88518·
 1981 05  57571.
 1981 04  24616.
 1981 03  43635·
 1981 02  41631.
 1981 01  54618·
 1980 12 71670·
 1980 11 15660·
 1980 10 43660.
 1980 09 73627·
 1980 08 33645·
 1980 07 42678.
 1980 06 8650.
 1980 05 58610·
 1980 04 85682·
 1980 03 28663·
 1980 02 73682.
 1980 01 78643·
 1979 12  28666.
 1979 11  6685.
 1979 10  1657.
 1979 09  29622·
 1979 08  88650·
 1979 07  33690·
 1979 06  80645·
 1979 05  27629·
 1979 04  14676·
 1979 03  90646.
 1979 02  22645.
 1979 01  19614.
 1978 12 82647.
 1978 11 84657.
 1978 10 66657.
 1978 09 73689.
 1978 08 93724.
 1978 07 46724.
 1978 06 75682.
 1978 05 82694.
 1978 04 72709·
 1978 03 33665.
 1978 02 37645·
 1978 01 67635·
 1977 12  69701.
 1977 11  26667·
 1977 10  63679.
 1977 09  71634·
 1977 08  60682.
 1977 07  33725.
 1977 06  93641·
 1977 05  64676·
 1977 04  45724.
 1977 03  85767·
 1977 02  89747.
 1977 01  39702·
 1976 12 49649·
 1976 11 39657·
 1976 10 39637·
 1976 09 17624.
 1976 08 23761.
 1976 07 76779.
 1976 06 56746.
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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: Employment Level: Nonagriculture, Government Wage and Salary Workers, 20-24 years, Men: 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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