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 Series Title: Median Weeks Unemployed, White: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1976 06 986·3
 1976 07 496·7
 1976 08 57·6
 1976 09 66.1
 1976 10 186.8
 1976 11 57.6
 1976 12 378·2
 1977 01  126.8
 1977 02  108·0
 1977 03  669.0
 1977 04  778·8
 1977 05  237·9
 1977 06  254·8
 1977 07  136·0
 1977 08  366.8
 1977 09  835.0
 1977 10  386·0
 1977 11  536·3
 1977 12  547·0
 1978 01 625·8
 1978 02 507·2
 1978 03 187.6
 1978 04 926·8
 1978 05 525·4
 1978 06 874.5
 1978 07 644·8
 1978 08 395·4
 1978 09 744.5
 1978 10 985·0
 1978 11 734.9
 1978 12 75·7
 1979 01  725·4
 1979 02  586.4
 1979 03  526.9
 1979 04  356·4
 1979 05  155.4
 1979 06  694.2
 1979 07  325·1
 1979 08  864·8
 1979 09  964·5
 1979 10  564.9
 1979 11  694.8
 1979 12  475.6
 1980 01 354.9
 1980 02 696·5
 1980 03 477.3
 1980 04 316.9
 1980 05 775·7
 1980 06 844.8
 1980 07 706.1
 1980 08 767·3
 1980 09 906.3
 1980 10 06·6
 1980 11 716·9
 1980 12 457·6
 1981 01  686.7
 1981 02  438.0
 1981 03  68·8
 1981 04  258·4
 1981 05  316.8
 1981 06  654.9
 1981 07  586.0
 1981 08  316.8
 1981 09  235.5
 1981 10  396·0
 1981 11  326·2
 1981 12  996·9
 1982 01 126.6
 1982 02 678.4
 1982 03 609.5
 1982 04 939·5
 1982 05 948·6
 1982 06 737.2
 1982 07 07.2
 1982 08 08·4
 1982 09 868.3
 1982 10 98.6
 1982 11 329.3
 1982 12 3310.1
 1983 01  3410·4
 1983 02  5010.6
 1983 03  6312·6
 1983 04  3113·0
 1983 05  712·4
 1983 06  959.2
 1983 07  258.9
 1983 08  569·1
 1983 09  987.9
 1983 10  718·0
 1983 11  758.6
 1983 12  958·9
 1984 01 278·3
 1984 02 289.0
 1984 03 9410·2
 1984 04 639.9
 1984 05 388·8
 1984 06 405.8
 1984 07 896.4
 1984 08 966·8
 1984 09 996·2
 1984 10 106.2
 1984 11 916·6
 1984 12 587·3
 1985 01  66.2
 1985 02  617·6
 1985 03  578.6
 1985 04  367·9
 1985 05  776·7
 1985 06  455·1
 1985 07  696·0
 1985 08  446·8
 1985 09  575·5
 1985 10  365.9
 1985 11  346.3
 1985 12  196.7
 1986 01 146.2
 1986 02 367·5
 1986 03 828.2
 1986 04 257·5
 1986 05 436·6
 1986 06 695.5
 1986 07 716.0
 1986 08 486.8
 1986 09 626·0
 1986 10 866.1
 1986 11 826·5
 1986 12 37.1
 1987 01  176·4
 1987 02  637·0
 1987 03  237·9
 1987 04  267.8
 1987 05  766·1
 1987 06  995·1
 1987 07  235.7
 1987 08  816·0
 1987 09  334·9
 1987 10  205.2
 1987 11  415·6
 1987 12  566·1
 1988 01 75·7
 1988 02 766.9
 1988 03 587·9
 1988 04 636·4
 1988 05 435.5
 1988 06 444.5
 1988 07 815·6
 1988 08 415.6
 1988 09 104·7
 1988 10 235.0
 1988 11 405.1
 1988 12 525·9
 1989 01  25.3
 1989 02  386.0
 1989 03  946.8
 1989 04  846·2
 1989 05  375.1
 1989 06  414.4
 1989 07  224.9
 1989 08  514·6
 1989 09  614·1
 1989 10  54·4
 1989 11  334·4
 1989 12  894·8
 1990 01 424.8
 1990 02 335.7
 1990 03 586·0
 1990 04 635·8
 1990 05 745·2
 1990 06 494.1
 1990 07 534·6
 1990 08 594.5
 1990 09 774.6
 1990 10 45·1
 1990 11 04.9
 1990 12 915·9
 1991 01  945.4
 1991 02  726.9
 1991 03  58·3
 1991 04  968.1
 1991 05  966.3
 1991 06  555.4
 1991 07  16·1
 1991 08  387·0
 1991 09  756·2
 1991 10  786.7
 1991 11  436.6
 1991 12  47·8
 1992 01 517.7
 1992 02 919·1
 1992 03 1510·1
 1992 04 710·4
 1992 05 699.1
 1992 06 697.2
 1992 07 217.5
 1992 08 868·7
 1992 09 977·8
 1992 10 138.1
 1992 11 948.2
 1992 12 29·0
 1993 01  308·0
 1993 02  498·9
 1993 03  9110.2
 1993 04  4510.4
 1993 05  868·1
 1993 06  266.3
 1993 07  937.2
 1993 08  267·9
 1993 09  107.2
 1993 10  217.2
 1993 11  67.8
 1993 12  847.8
 1994 01 717·6
 1994 02 339.4
 1994 03 6310·7
 1994 04 8210·1
 1994 05 638·7
 1994 06 886.6
 1994 07 207.6
 1994 08 78·5
 1994 09 58.5
 1994 10 368.8
 1994 11 598·1
 1994 12 728·2
 1995 01  427·2
 1995 02  538.3
 1995 03  869.4
 1995 04  169·3
 1995 05  427·9
 1995 06  395·6
 1995 07  337·3
 1995 08  07·6
 1995 09  06.6
 1995 10  206·9
 1995 11  567·0
 1995 12  147.7
 1996 01 347.4
 1996 02 458·2
 1996 03 389.8
 1996 04 7010·1
 1996 05 907.5
 1996 06 915.6
 1996 07 847.4
 1996 08 58·2
 1996 09 357.4
 1996 10 577·3
 1996 11 286.7
 1996 12 846.8
 1997 01  656.6
 1997 02  698.2
 1997 03  248·5
 1997 04  929.4
 1997 05  986.8
 1997 06  785.3
 1997 07  557·1
 1997 08  457·2
 1997 09  797.3
 1997 10  586.8
 1997 11  276·8
 1997 12  786·5
 1998 01 765.5
 1998 02 116·8
 1998 03 737.5
 1998 04 567·2
 1998 05 844.5
 1998 06 614·4
 1998 07 485.7
 1998 08 666·4
 1998 09 226·0
 1998 10 594.6
 1998 11 355·5
 1998 12 225.9
 1999 01  345.5
 1999 02  817·2
 1999 03  407.5
 1999 04  606.6
 1999 05  905.4
 1999 06  264·3
 1999 07  944·8
 1999 08  445·9
 1999 09  824·7
 1999 10  215·0
 1999 11  544·7
 1999 12  615.0
 2000 01 314.5
 2000 02 156·2
 2000 03 36·7
 2000 04 266·7
 2000 05 814.8
 2000 06 843.9
 2000 07 464.8
 2000 08 745.5
 2000 09 04·5
 2000 10 285.0
 2000 11 155·2
 2000 12 715.7
 2001 01  834.7
 2001 02  736·2
 2001 03  677·2
 2001 04  26.4
 2001 05  505.2
 2001 06  694·1
 2001 07  845.4
 2001 08  826.2
 2001 09  436·3
 2001 10  926.6
 2001 11  726·8
 2001 12  477.8
 2002 01 337·6
 2002 02 418.5
 2002 03 629·2
 2002 04 629.6
 2002 05 138·4
 2002 06 437·5
 2002 07 127.6
 2002 08 148.4
 2002 09 39.0
 2002 10 488·6
 2002 11 38.5
 2002 12 159.1
 2003 01  478.6
 2003 02  309.8
 2003 03  4110.5
 2003 04  411.3
 2003 05  139.3
 2003 06  917.6
 2003 07  598.5
 2003 08  439.4
 2003 09  979.4
 2003 10  569·7
 2003 11  139.5
 2003 12  219.6
 2004 01 179·6
 2004 02 7510.2
 2004 03 8511·4
 2004 04 5010·4
 2004 05 179.4
 2004 06 247.4
 2004 07 817.4
 2004 08 688.6
 2004 09 668·4
 2004 10 28·3
 2004 11 328·7
 2004 12 398.5
 2005 01  598.1
 2005 02  368.8
 2005 03  9610·0
 2005 04  499.7
 2005 05  158.2
 2005 06  765·8
 2005 07  557·2
 2005 08  128.4
 2005 09  777·3
 2005 10  977·9
 2005 11  147.6
 2005 12  667.9
 2006 01 167·6
 2006 02 08·9
 2006 03 69·3
 2006 04 749·1
 2006 05 257.5
 2006 06 94.8
 2006 07 866.5
 2006 08 237.8
 2006 09 236·9
 2006 10 767·1
 2006 11 387·4
 2006 12 276·3
 2007 01  547·1
 2007 02  768·3
 2007 03  679·5
 2007 04  229·4
 2007 05  887.4
 2007 06  96·0
 2007 07  47.2
 2007 08  748·2
 2007 09  198·6
 2007 10  08·0
 2007 11  87.9
 2007 12  687·4
 2008 01 667·8
 2008 02 08.3
 2008 03 599.2
 2008 04 1810·4
 2008 05 727·2
 2008 06 856·5
 2008 07 638·4
 2008 08 629.0
 2008 09 89.9
 2008 10 549.7
 2008 11 549.3
 2008 12 639·4
 2009 01  679·4
 2009 02  3411.2
 2009 03  8612.5
 2009 04  814·7
 2009 05  6914·4
 2009 06  7313·8
 2009 07  4313·9
 2009 08  1114.3
 2009 09  5717·1
 2009 10  4918.5
 2009 11  2919.3
 2009 12  1018.8
 2010 01 017.0
 2010 02 6118·4
 2010 03 7920.6
 2010 04 6724·5
 2010 05 9422.8
 2010 06 3520·3
 2010 07 4619.7
 2010 08 7018·5
 2010 09 5619·4
 2010 10 2021.0
 2010 11 1520·6
 2010 12 3220·5
 2011 01  3218.0
 2011 02  9318·4
 2011 03  9020.9
 2011 04  9122·1
 2011 05  9022.5
 2011 06  5417.3
 2011 07  417.7
 2011 08  1019.2
 2011 09  2420.5
 2011 10  2920·0
 2011 11  1320.3
 2011 12  7718·3
 2012 01 5416·3
 2012 02 6617·1
 2012 03 9918·8
 2012 04 420.9
 2012 05 2321·0
 2012 06 4316·0
 2012 07 6913·8
 2012 08 3014·5
 2012 09 217.7
 2012 10 5919·3
 2012 11 5518·5
 2012 12 1816.2
 2013 01  8313.2
 2013 02  4015.0
 2013 03  1217·8
 2013 04  5518·8
 2013 05  8617·5
 2013 06  3613.0
 2013 07  2213·3
 2013 08  5414·1
 2013 09  5615.0
 2013 10  2315·2
 2013 11  9316.5
 2013 12  5316.1
 2014 01 6113·3
 2014 02 014.1
 2014 03 5615.7
 2014 04 1517.1
 2014 05 9514·4
 2014 06 9410.0
 2014 07 6710.2
 2014 08 2810·9
 2014 09 7912.1
 2014 10 5513·0
 2014 11 812·2
 2014 12 511·8
 2015 01  5411.1
 2015 02  5812.2
 2015 03  8612·5
 2015 04  8412·6
 2015 05  9211·1
 2015 06  38·3
 2015 07  338.5
 2015 08  2710.4
 2015 09  8610·5
 2015 10  1610.7
 2015 11  410·6
 2015 12  239.7
 2016 01 569·7
 2016 02 4710·6
 2016 03 8212·2
 2016 04 8412·2
 2016 05 4411·1
 2016 06 737·2
 2016 07 738.9
 2016 08 489.9
 2016 09 219.6
 2016 10 9210.1
 2016 11 109·9
 2016 12 799·6
 2017 01  818.9
 2017 02  309·9
 2017 03  4810.9
 2017 04  6311·4
 2017 05  4310.4
 2017 06  396·3
 2017 07  698.5
 2017 08  159.7
 2017 09  509·6
 2017 10  939.3


 2017 11  808·8
 2017 12  718.0
 2018 01 738·2
 2018 02 928.8
 2018 03 1310.1
 2018 04 9511·4
 2018 05 49.3
 2018 06 635.9
 2018 07 238·7
 2018 08 748.5
 2018 09 649.2
 2018 10 549·0
 2018 11 948.3
 2018 12 228·5
 2019 01  977.9
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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: Median Weeks Unemployed, White: 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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