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 Series Title: Employment Level: Nonagriculture, Government Wage and Salary Workers, 16-19 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 62192·
 2012 03 96191·
 2012 02 57158.
 2012 01 40148·
 2011 12  66144·
 2011 11  58142·
 2011 10  40163·
 2011 09  67189.
 2011 08  75235·
 2011 07  56351·
 2011 06  62302·
 2011 05  31177·
 2011 04  38195.
 2011 03  71172·
 2011 02  35194·
 2011 01  75182·
 2010 12 30153·
 2010 11 11184.
 2010 10 97185.
 2010 09 68187·
 2010 08 53262.
 2010 07 6362.
 2010 06 11274.
 2010 05 5196·
 2010 04 30225.
 2010 03 14201.
 2010 02 65235.
 2010 01 4220·
 2009 12  14217·
 2009 11  16219.
 2009 10  72210.
 2009 09  11221.
 2009 08  79334·
 2009 07  19408.
 2009 06  70312·
 2009 05  93261·
 2009 04  25284·
 2009 03  54264.
 2009 02  21249·
 2009 01  45245.
 2008 12 78236.
 2008 11 79242·
 2008 10 14246.
 2008 09 87201·
 2008 08 89316.
 2008 07 74438.
 2008 06 61363·
 2008 05 62243.
 2008 04 33199·
 2008 03 47265.
 2008 02 1255.
 2008 01 40250.
 2007 12  9295·
 2007 11  28245·
 2007 10  96248.
 2007 09  15267·
 2007 08  44313.
 2007 07  75438.
 2007 06  34393.
 2007 05  5243·
 2007 04  88245·
 2007 03  70206.
 2007 02  28223·
 2007 01  56214.
 2006 12 17216.
 2006 11 18263.
 2006 10 15248.
 2006 09 35250·
 2006 08 30318·
 2006 07 52415·
 2006 06 60303.
 2006 05 38225·
 2006 04 53238.
 2006 03 29253.
 2006 02 49255.
 2006 01 83253·
 2005 12  36279·
 2005 11  29225·
 2005 10  96223.
 2005 09  15230·
 2005 08  56365.
 2005 07  59472·
 2005 06  38351.
 2005 05  2257·
 2005 04  11244.
 2005 03  52233.
 2005 02  39221·
 2005 01  39236·
 2004 12 29250.
 2004 11 64266.
 2004 10 86270·
 2004 09 46237.
 2004 08 58367.
 2004 07 76412·
 2004 06 91312.
 2004 05 65207.
 2004 04 75233·
 2004 03 95255.
 2004 02 94249.
 2004 01 67255.
 2003 12  80288·
 2003 11  53242·
 2003 10  57206.
 2003 09  45215.
 2003 08  98372.
 2003 07  6474·
 2003 06  68317·
 2003 05  18215.
 2003 04  79259·
 2003 03  36226.
 2003 02  39306.
 2003 01  31259.
 2002 12 0259·
 2002 11 49264·
 2002 10 9258.
 2002 09 53262·
 2002 08 59397·
 2002 07 78452·
 2002 06 40335·
 2002 05 78246.
 2002 04 84283.
 2002 03 79322·
 2002 02 21295.
 2002 01 26278.
 2001 12  24238·
 2001 11  34210.
 2001 10  63249·
 2001 09  39254.
 2001 08  54358.
 2001 07  48482·
 2001 06  6379.
 2001 05  88273.
 2001 04  76247.
 2001 03  55288·
 2001 02  12304·
 2001 01  66263.
 2000 12 13309.
 2000 11 9286.
 2000 10 69306.
 2000 09 93274.
 2000 08 18395·
 2000 07 94458·
 2000 06 90418.
 2000 05 13341.
 2000 04 64326.
 2000 03 16310·
 2000 02 12309·
 2000 01 94295.
 1999 12  53305.
 1999 11  6303·
 1999 10  99310.
 1999 09  32296.
 1999 08  10421·
 1999 07  21503.
 1999 06  39392.
 1999 05  45281·
 1999 04  85301·
 1999 03  43310·
 1999 02  44338.
 1999 01  77291·
 1998 12 54338·
 1998 11 78300.
 1998 10 52331·
 1998 09 98262.
 1998 08 17427·
 1998 07 59543·
 1998 06 26363·
 1998 05 2247·
 1998 04 99268.
 1998 03 40252·
 1998 02 54287·
 1998 01 7284·
 1997 12  52286.
 1997 11  5291·
 1997 10  49267·
 1997 09  58246.
 1997 08  49439·
 1997 07  60532.
 1997 06  49358·
 1997 05  24235·
 1997 04  92238.
 1997 03  36264.
 1997 02  17276.
 1997 01  0270.
 1996 12 7290.
 1996 11 91289·
 1996 10 40262.
 1996 09 4239·
 1996 08 42376.
 1996 07 5486·
 1996 06 32336·
 1996 05 80216·
 1996 04 75262·
 1996 03 86252.
 1996 02 30284.
 1996 01 98246·
 1995 12  4263·
 1995 11  64279.
 1995 10  98241.
 1995 09  52238.
 1995 08  56394·
 1995 07  98501·
 1995 06  22345·
 1995 05  61196·
 1995 04  82205·
 1995 03  68256·
 1995 02  17235·
 1995 01  68244·
 1994 12 55269.
 1994 11 81265.
 1994 10 19242·
 1994 09 44206.
 1994 08 78448.
 1994 07 68546.
 1994 06 93375·
 1994 05 82229·
 1994 04 74215·
 1994 03 87268.
 1994 02 25237·
 1994 01 2228.
 1993 12  95236·
 1993 11  19283.
 1993 10  29241·
 1993 09  47243·
 1993 08  16422·
 1993 07  70552·
 1993 06  42348.
 1993 05  88270·
 1993 04  37268·
 1993 03  72228·
 1993 02  28275.
 1993 01  17229·
 1992 12 84229·
 1992 11 83253·
 1992 10 73282.
 1992 09 54255.
 1992 08 7481.
 1992 07 82554.
 1992 06 93337·
 1992 05 43236.
 1992 04 82267·
 1992 03 78246·
 1992 02 23303·
 1992 01 53280·
 1991 12  8292·
 1991 11  2299.
 1991 10  27289·
 1991 09  79242·
 1991 08  12427.
 1991 07  10590·
 1991 06  93392.
 1991 05  40290.
 1991 04  43311·
 1991 03  84303.
 1991 02  34328.
 1991 01  79276.
 1990 12 78291·
 1990 11 31273·
 1990 10 87297.
 1990 09 66289.
 1990 08 16391·
 1990 07 82633·
 1990 06 16440.
 1990 05 96327.
 1990 04 83323.
 1990 03 94347.
 1990 02 8347·
 1990 01 86249.
 1989 12  29255·
 1989 11  49304·
 1989 10  77284·
 1989 09  82258·
 1989 08  29507·
 1989 07  53607·
 1989 06  59405.
 1989 05  52244.
 1989 04  85279·
 1989 03  38276·
 1989 02  19259·
 1989 01  91249·
 1988 12 21312.
 1988 11 60271.
 1988 10 44292.
 1988 09 17263·
 1988 08 88460.
 1988 07 2592·
 1988 06 47450·
 1988 05 75290·
 1988 04 61330·
 1988 03 69266.
 1988 02 65294.
 1988 01 35287.
 1987 12  40290·
 1987 11  94313.
 1987 10  62298.
 1987 09  89258.
 1987 08  52519·
 1987 07  33571.
 1987 06  26396·
 1987 05  58307·
 1987 04  46329.
 1987 03  68312.
 1987 02  69321·
 1987 01  85281·
 1986 12 97261·
 1986 11 5280.
 1986 10 29287·
 1986 09 40252·
 1986 08 7488.
 1986 07 76659·
 1986 06 70432·
 1986 05 16324·
 1986 04 0339·
 1986 03 37354.
 1986 02 78322·
 1986 01 34308.
 1985 12  27302.
 1985 11  71285.
 1985 10  68328·
 1985 09  36280·
 1985 08  64447·
 1985 07  84666·
 1985 06  76419·
 1985 05  93269·
 1985 04  10261.
 1985 03  8286.
 1985 02  67284·
 1985 01  97283.
 1984 12 91283.
 1984 11 98295·
 1984 10 26300·
 1984 09 69292.
 1984 08 58476·
 1984 07 38619·
 1984 06 69430·
 1984 05 53286.
 1984 04 86291.
 1984 03 33304·
 1984 02 32339.
 1984 01 17268.
 1983 12  75308.
 1983 11  15326·
 1983 10  78330.
 1983 09  57264.
 1983 08  50612·
 1983 07  41781.
 1983 06  96509.
 1983 05  90321·
 1983 04  63330.
 1983 03  93334·
 1983 02  97376·
 1983 01  61311·
 1982 12 88359·
 1982 11 76334·
 1982 10 21333·
 1982 09 40314.
 1982 08 26540.
 1982 07 23700.
 1982 06 29391.
 1982 05 20346.
 1982 04 2349.
 1982 03 91382·
 1982 02 11360.
 1982 01 20389·
 1981 12  67392.
 1981 11  61379·
 1981 10  78385·
 1981 09  85337·
 1981 08  95657.
 1981 07  39833·
 1981 06  68529.
 1981 05  84443.
 1981 04  88435·
 1981 03  57480.
 1981 02  45487·
 1981 01  11488.
 1980 12 71495·
 1980 11 72489.
 1980 10 96498.
 1980 09 85449·
 1980 08 94735·
 1980 07 66925.
 1980 06 35610.
 1980 05 51505.
 1980 04 33521.
 1980 03 45546·
 1980 02 99503.
 1980 01 76511·
 1979 12  87544.
 1979 11  41548·
 1979 10  50535·
 1979 09  57452.
 1979 08  83705·
 1979 07  10911.
 1979 06  78631.
 1979 05  11552.
 1979 04  71517.
 1979 03  35517·
 1979 02  94490·
 1979 01  82498.
 1978 12 26535·
 1978 11 21512.
 1978 10 37495·
 1978 09 41477·
 1978 08 48972·
 1978 07 1986.
 1978 06 70670.
 1978 05 81550.
 1978 04 63557·
 1978 03 30519.
 1978 02 80561.
 1978 01 20508·
 1977 12  21459·
 1977 11  92466.
 1977 10  81441.
 1977 09  5392·
 1977 08  98866·
 1977 07  91995·
 1977 06  9636·
 1977 05  3460·
 1977 04  95464·
 1977 03  61467.
 1977 02  29477.
 1977 01  8468·
 1976 12 35484·
 1976 11 57489.
 1976 10 28459.
 1976 09 40425·
 1976 08 71860.
 1976 07 611035·
 1976 06 19592·
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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, 16-19 years: 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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