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 Series Title: Number Unemployed for 15-26 Weeks 16-19 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 1992·
 2012 03 14116·
 2012 02 85168·
 2012 01 96116·
 2011 12  38145.
 2011 11  2155.
 2011 10  80158.
 2011 09  97127·
 2011 08  56112·
 2011 07  1974.
 2011 06  7103·
 2011 05  27104·
 2011 04  21141.
 2011 03  48100.
 2011 02  80142.
 2011 01  31165·
 2010 12 10177.
 2010 11 95180·
 2010 10 35178·
 2010 09 78123.
 2010 08 2396·
 2010 07 9190.
 2010 06 36108.
 2010 05 63119.
 2010 04 84108.
 2010 03 94145·
 2010 02 71219·
 2010 01 4188·
 2009 12  45171.
 2009 11  85202·
 2009 10  52163.
 2009 09  46177.
 2009 08  82124·
 2009 07  7083.
 2009 06  18130.
 2009 05  58187.
 2009 04  93130.
 2009 03  81157·
 2009 02  32163·
 2009 01  33169·
 2008 12 5110.
 2008 11 76116.
 2008 10 8097.
 2008 09 9297.
 2008 08 6965·
 2008 07 3477·
 2008 06 7767·
 2008 05 7759.
 2008 04 5964.
 2008 03 6487.
 2008 02 6090·
 2008 01 59105·
 2007 12  7580.
 2007 11  9777.
 2007 10  9272·
 2007 09  3270.
 2007 08  4449.
 2007 07  8951.
 2007 06  6172·
 2007 05  1486·
 2007 04  1676.
 2007 03  2261.
 2007 02  7973.
 2007 01  5077·
 2006 12 6658·
 2006 11 375.
 2006 10 8586·
 2006 09 882·
 2006 08 9433·
 2006 07 6345·
 2006 06 4254·
 2006 05 8454.
 2006 04 2653·
 2006 03 5998.
 2006 02 37107.
 2006 01 9682·
 2005 12  1275·
 2005 11  73106.
 2005 10  8367.
 2005 09  8882·
 2005 08  2868.
 2005 07  1155.
 2005 06  1982.
 2005 05  3069.
 2005 04  7481·
 2005 03  5119·
 2005 02  6108·
 2005 01  1588.
 2004 12 75114·
 2004 11 1183·
 2004 10 3491.
 2004 09 6346·
 2004 08 8239.
 2004 07 1240.
 2004 06 1465·
 2004 05 18101.
 2004 04 7069.
 2004 03 1373·
 2004 02 8590·
 2004 01 49110.
 2003 12  4083.
 2003 11  4795.
 2003 10  10100.
 2003 09  5082·
 2003 08  1760·
 2003 07  70106·
 2003 06  76114·
 2003 05  4086.
 2003 04  51114.
 2003 03  63109·
 2003 02  97120·
 2003 01  6495·
 2002 12 1896·
 2002 11 34102·
 2002 10 1093·
 2002 09 9059·
 2002 08 1857·
 2002 07 1448·
 2002 06 7864.
 2002 05 1368·
 2002 04 7676·
 2002 03 60135·
 2002 02 9099·
 2002 01 52112·
 2001 12  4498.
 2001 11  5371·
 2001 10  5776·
 2001 09  5046·
 2001 08  9551.
 2001 07  054.
 2001 06  1844·
 2001 05  7871.
 2001 04  3282.
 2001 03  3285·
 2001 02  3658·
 2001 01  2945.
 2000 12 7853·
 2000 11 744·
 2000 10 9958.
 2000 09 2333·
 2000 08 8532.
 2000 07 631·
 2000 06 1948·
 2000 05 330·
 2000 04 2858·
 2000 03 3541.
 2000 02 3574.
 2000 01 3965·
 1999 12  747·
 1999 11  2637·
 1999 10  955.
 1999 09  2552.
 1999 08  4850.
 1999 07  3636.
 1999 06  2955·
 1999 05  8046·
 1999 04  171.
 1999 03  4678.
 1999 02  859·
 1999 01  4773·
 1998 12 4163·
 1998 11 6453·
 1998 10 8565·
 1998 09 9776·
 1998 08 6933·
 1998 07 2055·
 1998 06 2141.
 1998 05 2434.
 1998 04 1157.
 1998 03 7172.
 1998 02 594.
 1998 01 4654.
 1997 12  1671.
 1997 11  084·
 1997 10  5085.
 1997 09  782·
 1997 08  6044.
 1997 07  1250·
 1997 06  9361·
 1997 05  78110.
 1997 04  43111.
 1997 03  4079.
 1997 02  9887·
 1997 01  5198.
 1996 12 9160.
 1996 11 3971.
 1996 10 5262·
 1996 09 4760.
 1996 08 5455.
 1996 07 9269.
 1996 06 6860.
 1996 05 969·
 1996 04 886·
 1996 03 576.
 1996 02 8489.
 1996 01 6111.
 1995 12  5377.
 1995 11  1093.
 1995 10  6488.
 1995 09  3384·
 1995 08  1466·
 1995 07  6346.
 1995 06  9465.
 1995 05  8117·
 1995 04  4293·
 1995 03  4692·
 1995 02  88102·
 1995 01  7695·
 1994 12 1275·
 1994 11 6659.
 1994 10 8493·
 1994 09 687.
 1994 08 2456.
 1994 07 5587·
 1994 06 4578.
 1994 05 9284.
 1994 04 4104·
 1994 03 69125.
 1994 02 57112·
 1994 01 54139·
 1993 12  380·
 1993 11  8968.
 1993 10  3651.
 1993 09  3569.
 1993 08  9527·
 1993 07  2234.
 1993 06  1770.
 1993 05  480·
 1993 04  8290.
 1993 03  198·
 1993 02  6573·
 1993 01  5678.
 1992 12 8885.
 1992 11 8193.
 1992 10 6776·
 1992 09 1067·
 1992 08 6337·
 1992 07 4440·
 1992 06 3546.
 1992 05 985.
 1992 04 8486.
 1992 03 9898.
 1992 02 9130·
 1992 01 2492·
 1991 12  5169·
 1991 11  7290·
 1991 10  5088·
 1991 09  4851·
 1991 08  8945·
 1991 07  2554.
 1991 06  4662.
 1991 05  068.
 1991 04  4863.
 1991 03  3871.
 1991 02  1281·
 1991 01  2582·
 1990 12 371.
 1990 11 1775·
 1990 10 8341.
 1990 09 9145·
 1990 08 5619·
 1990 07 9416·
 1990 06 2410.
 1990 05 9444.
 1990 04 3257·
 1990 03 2656·
 1990 02 2233.
 1990 01 5138.
 1989 12  8147·
 1989 11  9553.
 1989 10  9032·
 1989 09  723.
 1989 08  7822·
 1989 07  616·
 1989 06  6623·
 1989 05  3141·
 1989 04  2347·
 1989 03  9250.
 1989 02  1363·
 1989 01  1875·
 1988 12 4354.
 1988 11 948·
 1988 10 1969.
 1988 09 8636.
 1988 08 8810.
 1988 07 3928·
 1988 06 9630·
 1988 05 8064·
 1988 04 3268.
 1988 03 8956·
 1988 02 8279.
 1988 01 6871.
 1987 12  7778.
 1987 11  9048.
 1987 10  4144·
 1987 09  4641.
 1987 08  4730.
 1987 07  9940.
 1987 06  6150.
 1987 05  3154·
 1987 04  9473.
 1987 03  9760.
 1987 02  5378.
 1987 01  6992.
 1986 12 9277·
 1986 11 9178.
 1986 10 5773.
 1986 09 2854·
 1986 08 4236.
 1986 07 1363.
 1986 06 3572·
 1986 05 256·
 1986 04 6986.
 1986 03 2088·
 1986 02 7478·
 1986 01 1170·
 1985 12  2487·
 1985 11  9280.
 1985 10  88105.
 1985 09  9960·
 1985 08  8235·
 1985 07  3839.
 1985 06  1552·
 1985 05  3574·
 1985 04  4371·
 1985 03  8775·
 1985 02  1799.
 1985 01  1294·
 1984 12 3377.
 1984 11 9873·
 1984 10 8385·
 1984 09 5165.
 1984 08 342.
 1984 07 5142·
 1984 06 2550·
 1984 05 9568·
 1984 04 2796.
 1984 03 5381·
 1984 02 81110.
 1984 01 14123·
 1983 12  6117.
 1983 11  37129.
 1983 10  14101.
 1983 09  1109.
 1983 08  6564·
 1983 07  5794.
 1983 06  1390.
 1983 05  76128·
 1983 04  55119·
 1983 03  97185·
 1983 02  89185·
 1983 01  83194.
 1982 12 52187·
 1982 11 63172·
 1982 10 80167.
 1982 09 90133.
 1982 08 5592.
 1982 07 8681.
 1982 06 51114·
 1982 05 93132·
 1982 04 90148·
 1982 03 24144·
 1982 02 88151.
 1982 01 11125.
 1981 12  7127·
 1981 11  57108·
 1981 10  4111·
 1981 09  86115.
 1981 08  8271·
 1981 07  9261.
 1981 06  3874.
 1981 05  8988·
 1981 04  15122·
 1981 03  62141·
 1981 02  52143·
 1981 01  14126·
 1980 12 32141·
 1980 11 2293·
 1980 10 34127.
 1980 09 8087.
 1980 08 8373·
 1980 07 5486.
 1980 06 9776·
 1980 05 31109·
 1980 04 4397·
 1980 03 6690·
 1980 02 79108.
 1980 01 3695.
 1979 12  1276.
 1979 11  8857.
 1979 10  4359.
 1979 09  8934·
 1979 08  1715·
 1979 07  7726.
 1979 06  7642·
 1979 05  970·
 1979 04  788.
 1979 03  1580·
 1979 02  9293.
 1979 01  42105.
 1978 12 5883·
 1978 11 859.
 1978 10 2966.
 1978 09 5442·
 1978 08 7143·
 1978 07 8944·
 1978 06 4851.
 1978 05 4265·
 1978 04 7086·
 1978 03 1497.
 1978 02 39137·
 1978 01 24112.
 1977 12  683.
 1977 11  6384.
 1977 10  1482.
 1977 09  4345.
 1977 08  5449·
 1977 07  4570.
 1977 06  1188.
 1977 05  70110·
 1977 04  16103·
 1977 03  9172.
 1977 02  93118.
 1977 01  99117.
 1976 12 1592.
 1976 11 57110.
 1976 10 4885·
 1976 09 4875.
 1976 08 352.
 1976 07 2558.
 1976 06 88104·
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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: Number Unemployed for 15-26 Weeks 16-19 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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