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 Series Title: Median Weeks Unemployed: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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Go to beginning of data set
 2018 07 359.5
 2018 06 538.9
 2018 05 299.2
 2018 04 869.8
 2018 03 689·1
 2018 02 249.3
 2018 01 39·4
 2017 12  859.1
 2017 11  309·5
 2017 10  569·8
 2017 09  4110·1
 2017 08  4610.3
 2017 07  7210.4
 2017 06  319·8
 2017 05  5510.4
 2017 04  1210.3
 2017 03  6710·4
 2017 02  5610.1
 2017 01  8310.3
 2016 12 5210·8
 2016 11 1810.2
 2016 10 6110.1
 2016 09 8810.1
 2016 08 6110·6
 2016 07 5011·1
 2016 06 410.6
 2016 05 5810.5
 2016 04 5811·3
 2016 03 1211.4
 2016 02 6611·5
 2016 01 611.3
 2015 12  8711.0
 2015 11  8011.0
 2015 10  5311·3
 2015 09  7011.3
 2015 08  1611·6
 2015 07  5510·9
 2015 06  9811·8
 2015 05  1211·5
 2015 04  4111·5
 2015 03  6211·9
 2015 02  5812.9
 2015 01  2113·2
 2014 12 8013.0
 2014 11 5113.0
 2014 10 1313.6
 2014 09 913.3
 2014 08 7812.8
 2014 07 9813·2
 2014 06 7013·7
 2014 05 1514·5
 2014 04 315.8
 2014 03 315·8
 2014 02 6115·9
 2014 01 115.4
 2013 12  5017.3
 2013 11  9217·1
 2013 10  4316.3
 2013 09  5516·5
 2013 08  3716.5
 2013 07  1416·2
 2013 06  9817.0
 2013 05  9017.1
 2013 04  1017·1
 2013 03  4617·6
 2013 02  3117.2
 2013 01  4315.8
 2012 12 3717.7
 2012 11 8818.6
 2012 10 7519.9
 2012 09 7918.8
 2012 08 1218·4
 2012 07 6417.5
 2012 06 8620.4
 2012 05 8419·9
 2012 04 5419.1
 2012 03 2619·2
 2012 02 4619.7
 2012 01 7220.8
 2011 12  820.5
 2011 11  4920.8
 2011 10  6120.6
 2011 09  8022·0
 2011 08  4322.4
 2011 07  3322.0
 2011 06  6322.4
 2011 05  7221·6
 2011 04  5220·9
 2011 03  421·5
 2011 02  1021·1
 2011 01  3521·5
 2010 12 5621·9
 2010 11 1221.0
 2010 10 8221.2
 2010 09 8220·3
 2010 08 9821·0
 2010 07 3322·3
 2010 06 8525·2
 2010 05 5122·3
 2010 04 4622·1
 2010 03 6620·4
 2010 02 5319.9
 2010 01 420.0
 2009 12  9720·1
 2009 11  3719.8
 2009 10  4118.9
 2009 09  3117.8
 2009 08  6816.3
 2009 07  9716.0
 2009 06  3017.2
 2009 05  4314·2
 2009 04  313·1
 2009 03  2112.3
 2009 02  2911·7
 2009 01  7910·7
 2008 12 7210·5
 2008 11 109·8
 2008 10 6810.4
 2008 09 110·2
 2008 08 709·7
 2008 07 889·7
 2008 06 39·0
 2008 05 987·9
 2008 04 149.4
 2008 03 68·7
 2008 02 178·7
 2008 01 829.0
 2007 12  508.4
 2007 11  408·6
 2007 10  178.4
 2007 09  918·7
 2007 08  468.8
 2007 07  908.7
 2007 06  337·7
 2007 05  888·2
 2007 04  968·6
 2007 03  819.1
 2007 02  238·5
 2007 01  618·3
 2006 12 207.5
 2006 11 648.3
 2006 10 677.9
 2006 09 228·0
 2006 08 628.4
 2006 07 148.0
 2006 06 747.3
 2006 05 118.5
 2006 04 918·4
 2006 03 318·7
 2006 02 749.1
 2006 01 898.6
 2005 12  18.7
 2005 11  428.5
 2005 10  248·6
 2005 09  448·4
 2005 08  119.2
 2005 07  968·8
 2005 06  59·0
 2005 05  909.1
 2005 04  669.0
 2005 03  689·3
 2005 02  259.2
 2005 01  649.4
 2004 12 349·5
 2004 11 599·7
 2004 10 159.5
 2004 09 299.6
 2004 08 109·2
 2004 07 958.9
 2004 06 3211·0
 2004 05 749·9
 2004 04 139.5
 2004 03 2610·2
 2004 02 5610·2
 2004 01 1010·6
 2003 12  8610·4
 2003 11  2710.3
 2003 10  9610.4
 2003 09  7610·2
 2003 08  010·1
 2003 07  9910·3
 2003 06  8211.5
 2003 05  359·9
 2003 04  4710·2
 2003 03  679.7
 2003 02  719·5
 2003 01  749·6
 2002 12 489·6
 2002 11 819.3
 2002 10 459.6
 2002 09 79·5
 2002 08 479·0
 2002 07 178·9
 2002 06 1111·0
 2002 05 719·5
 2002 04 128·9
 2002 03 758·4
 2002 02 998.3
 2002 01 298·4
 2001 12  388·2
 2001 11  807.7
 2001 10  677.3
 2001 09  707·2
 2001 08  446·9
 2001 07  846.8
 2001 06  976.0
 2001 05  56·3
 2001 04  745·9
 2001 03  616.6
 2001 02  956·1
 2001 01  745·8
 2000 12 976.0
 2000 11 126·1
 2000 10 926·1
 2000 09 395.2
 2000 08 86·3
 2000 07 626·0
 2000 06 455·7
 2000 05 875·8
 2000 04 256.1
 2000 03 626·0
 2000 02 376.1
 2000 01 315·8
 1999 12  925·8
 1999 11  866.2
 1999 10  736·1
 1999 09  116.0
 1999 08  806.5
 1999 07  365.8
 1999 06  856·3
 1999 05  876·5
 1999 04  816·2
 1999 03  366.8
 1999 02  306·8
 1999 01  496.9
 1998 12 156·8
 1998 11 386.6
 1998 10 905·8
 1998 09 96·7
 1998 08 276·8
 1998 07 166·7
 1998 06 706·9
 1998 05 66·0
 1998 04 856.7
 1998 03 716.8
 1998 02 47.0
 1998 01 17·4
 1997 12  837·5
 1997 11  287.6
 1997 10  477.7
 1997 09  838.2
 1997 08  417·8
 1997 07  388·3
 1997 06  818·0
 1997 05  648.0
 1997 04  28·3
 1997 03  767.9
 1997 02  128.1
 1997 01  847.8
 1996 12 377·8
 1996 11 437·7
 1996 10 738.3
 1996 09 48·5
 1996 08 388.4
 1996 07 638·3
 1996 06 208.3
 1996 05 128·6
 1996 04 268.6
 1996 03 878·3
 1996 02 347·8
 1996 01 218·3
 1995 12  448.3
 1995 11  918.0
 1995 10  238·2
 1995 09  707.9
 1995 08  618.3
 1995 07  768·5
 1995 06  187·9
 1995 05  219.1
 1995 04  728.3
 1995 03  658·3
 1995 02  758.1
 1995 01  628.0
 1994 12 968·7
 1994 11 109·0
 1994 10 7610.0
 1994 09 69.2
 1994 08 778·9
 1994 07 879.0
 1994 06 289·3
 1994 05 909.2
 1994 04 839·1
 1994 03 959·3
 1994 02 639.2
 1994 01 788·6
 1993 12  108.3
 1993 11  608.3
 1993 10  378·0
 1993 09  588·3
 1993 08  768.2
 1993 07  328·2
 1993 06  318·3
 1993 05  428·1
 1993 04  268·4
 1993 03  888·5
 1993 02  538·5
 1993 01  688·6
 1992 12 289.3
 1992 11 269.0
 1992 10 349·0
 1992 09 08·6
 1992 08 768·8
 1992 07 738·6
 1992 06 308·7
 1992 05 248·8
 1992 04 918·5
 1992 03 788·3
 1992 02 248.2
 1992 01 558.1
 1991 12  157.8
 1991 11  187.5
 1991 10  227.2
 1991 09  296·8
 1991 08  197.3
 1991 07  937.0
 1991 06  556·9
 1991 05  116·4
 1991 04  966.6
 1991 03  286·7
 1991 02  806.2
 1991 01  876.0
 1990 12 665·9
 1990 11 735·7
 1990 10 805·8
 1990 09 705.6
 1990 08 725·4
 1990 07 45.4
 1990 06 605·2
 1990 05 995.2
 1990 04 834.8
 1990 03 225·1
 1990 02 525·3
 1990 01 365.1
 1989 12  954·9
 1989 11  514.8
 1989 10  124.9
 1989 09  704·9
 1989 08  255·0
 1989 07  425·6
 1989 06  245.4
 1989 05  125·3
 1989 04  195.4
 1989 03  715.4
 1989 02  925·4
 1989 01  25.6
 1988 12 455.9
 1988 11 375·7
 1988 10 495.6
 1988 09 25.7
 1988 08 975·9
 1988 07 676.1
 1988 06 515.8
 1988 05 995·9
 1988 04 955·9
 1988 03 106.4
 1988 02 806.3
 1988 01 76.2
 1987 12  826·0
 1987 11  426.2
 1987 10  436.3
 1987 09  636.0
 1987 08  286.4
 1987 07  646·5
 1987 06  716·5
 1987 05  316·6
 1987 04  277·1
 1987 03  06.6
 1987 02  216·6
 1987 01  996.9
 1986 12 997.1
 1986 11 27.1
 1986 10 757.0
 1986 09 787·4
 1986 08 867·1
 1986 07 446·9
 1986 06 397·0
 1986 05 86.8
 1986 04 596·7
 1986 03 276·8
 1986 02 456.9
 1986 01 516·7
 1985 12  126.8
 1985 11  767.0
 1985 10  497.1
 1985 09  946·9
 1985 08  637·1
 1985 07  426·9
 1985 06  336.6
 1985 05  526.9
 1985 04  576·9
 1985 03  07·1
 1985 02  47.1
 1985 01  616.8
 1984 12 637.3
 1984 11 517·2
 1984 10 937.2
 1984 09 847·6
 1984 08 757.3
 1984 07 207.5
 1984 06 587·5
 1984 05 119·1
 1984 04 128.2
 1984 03 578·3
 1984 02 798·3
 1984 01 529·1
 1983 12  188·7
 1983 11  379·3
 1983 10  639·4
 1983 09  479.3
 1983 08  649·3
 1983 07  6210.1
 1983 06  4211·3
 1983 05  5812.3
 1983 04  4110.9
 1983 03  5610·4
 1983 02  739.8
 1983 01  7311·1
 1982 12 7110·2
 1982 11 7010.0
 1982 10 379.7
 1982 09 59·5
 1982 08 968.7
 1982 07 798·5
 1982 06 419.5
 1982 05 918·5
 1982 04 878.1
 1982 03 847.7
 1982 02 177.5
 1982 01 967·1
 1981 12  366.9
 1981 11  106·9
 1981 10  216.8
 1981 09  66.8
 1981 08  657.2
 1981 07  77·1
 1981 06  346.6
 1981 05  346·9
 1981 04  157.4
 1981 03  527·1
 1981 02  647·1
 1981 01  197.4
 1980 12 577·5
 1980 11 437.7
 1980 10 427.5
 1980 09 237.7
 1980 08 857.5
 1980 07 77·0
 1980 06 256.4
 1980 05 355.7
 1980 04 185.8
 1980 03 946·0
 1980 02 945·8
 1980 01 665·3
 1979 12  05·7
 1979 11  795·3
 1979 10  565.5
 1979 09  555.5
 1979 08  04·8
 1979 07  635.9
 1979 06  435.6
 1979 05  655·6
 1979 04  135.4
 1979 03  715·9
 1979 02  115.9
 1979 01  845·9
 1978 12 575.6
 1978 11 545.5
 1978 10 415·9
 1978 09 255·6
 1978 08 765·8
 1978 07 875·8
 1978 06 426·0
 1978 05 255·7
 1978 04 406·1
 1978 03 706·2
 1978 02 446.7
 1978 01 476·5
 1977 12  446·8
 1977 11  287·0
 1977 10  36.9
 1977 09  806·7
 1977 08  57·0
 1977 07  137.1
 1977 06  26·2
 1977 05  357·9
 1977 04  687·3
 1977 03  997·2
 1977 02  477.2
 1977 01  527.5
 1976 12 38·0
 1976 11 888·4
 1976 10 707·7
 1976 09 937.8
 1976 08 37·9
 1976 07 37.7
 1976 06 277.8
 1976 05 468·3
 1976 04 888.2
 1976 03 968.7
 1976 02 18.2
 1976 01 239·0
 1975 12  29.0
 1975 11  429·5
 1975 10  978·6
 1975 09  639·2
 1975 08  139·2
 1975 07  428·6
 1975 06  478·8
 1975 05  299·4
 1975 04  178·7
 1975 03  207·2
 1975 02  97·1
 1975 01  86·3
 1974 12 315·7
 1974 11 285·2
 1974 10 625·5
 1974 09 135.3
 1974 08 15·0
 1974 07 405·7
 1974 06 165·3
 1974 05 834.6
 1974 04 955.0
 1974 03 584·8
 1974 02 05·1
 1974 01 795.0
 1973 12  84·7
 1973 11  55.1
 1973 10  715.5
 1973 09  915.4
 1973 08  594.9
 1973 07  345.2
 1973 06  125.0
 1973 05  304·9
 1973 04  925.0
 1973 03  195.5
 1973 02  295·2
 1973 01  355.7
 1972 12 756·1
 1972 11 605.7
 1972 10 535·7
 1972 09 695·6
 1972 08 46·0
 1972 07 836.1
 1972 06 415·4
 1972 05 196·6
 1972 04 976·7
 1972 03 396.6
 1972 02 756.6
 1972 01 996·2
 1971 12  986.2
 1971 11  26.4
 1971 10  616·5
 1971 09  465·8
 1971 08  776.4
 1971 07  746.2
 1971 06  315·7
 1971 05  236·7
 1971 04  286.5
 1971 03  796·4
 1971 02  426.3
 1971 01  196·2
 1970 12 695.9
 1970 11 685·6
 1970 10 755.2
 1970 09 455·2
 1970 08 465·4
 1970 07 165.1
 1970 06 384·9
 1970 05 404·7
 1970 04 274·1
 1970 03 244.6
 1970 02 604·5
 1970 01 674·6
 1969 12  64.6
 1969 11  174.8
 1969 10  04.5
 1969 09  144.7
 1969 08  24·4
 1969 07  454.4
 1969 06  394.4
 1969 05  934·2
 1969 04  604·0
 1969 03  854.0
 1969 02  834.9
 1969 01  434.4
 1968 12 484·4
 1968 11 354.4
 1968 10 654.8
 1968 09 264·6


 1968 08 624·2
 1968 07 234·5
 1968 06 404·4
 1968 05 304·4
 1968 04 194·6
 1968 03 974.1
 1968 02 914·5
 1968 01 685·1
 1967 12  654·8
 1967 11  344.7
 1967 10  234·9
 1967 09  794·6
 1967 08  684·7
 1967 07  334·5
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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: SA
   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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