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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
 2017 03  7010.3
 2017 02  5110·0
 2017 01  6210·2
 2016 12 4710.3
 2016 11 7910.2
 2016 10 3010·2
 2016 09 7410·3
 2016 08 1610·9
 2016 07 4211.5
 2016 06 9410.2
 2016 05 7410·6
 2016 04 7111·2
 2016 03 811·4
 2016 02 2511.3
 2016 01 7611.2
 2015 12  5610·7
 2015 11  5511.0
 2015 10  3111.4
 2015 09  1711.4
 2015 08  4011·9
 2015 07  8111·3
 2015 06  4311·5
 2015 05  6011·6
 2015 04  1911·5
 2015 03  1311·9
 2015 02  1712.8
 2015 01  9313·2
 2014 12 1012·7
 2014 11 013·0
 2014 10 3613·6
 2014 09 2913·4
 2014 08 5713·0
 2014 07 1913·5
 2014 06 513·6
 2014 05 514·6
 2014 04 3115·7
 2014 03 6915·7
 2014 02 5715·8
 2014 01 8615.5
 2013 12  2517.1
 2013 11  7617.1
 2013 10  4816·4
 2013 09  5716·6
 2013 08  5816·6
 2013 07  9116·3
 2013 06  5917.0
 2013 05  3417.1
 2013 04  7517.1
 2013 03  8817·6
 2013 02  9817·2
 2013 01  5215.9
 2012 12 4417·7
 2012 11 6918.6
 2012 10 9619.9
 2012 09 7618.8
 2012 08 6018.4
 2012 07 5817.5
 2012 06 1020·4
 2012 05 9319.9
 2012 04 4219.1
 2012 03 619.2
 2012 02 2119.7
 2012 01 1620·8
 2011 12  3420·5
 2011 11  8820·8
 2011 10  3620·6
 2011 09  8222.0
 2011 08  422.4
 2011 07  522.0
 2011 06  8622.4
 2011 05  5621·6
 2011 04  4920.9
 2011 03  8221·5
 2011 02  2921·1
 2011 01  2421.5
 2010 12 8521.9
 2010 11 6921·0
 2010 10 4621.2
 2010 09 020·3
 2010 08 5821.0
 2010 07 4322·3
 2010 06 4325·2
 2010 05 2122.3
 2010 04 3722·1
 2010 03 220.4
 2010 02 5219.9
 2010 01 5020.0
 2009 12  1620.1
 2009 11  7319·8
 2009 10  3018.9
 2009 09  7617·8
 2009 08  1416.3
 2009 07  716.0
 2009 06  5817.2
 2009 05  1114·2
 2009 04  7413.1
 2009 03  7712·3
 2009 02  4411.7
 2009 01  9210·7
 2008 12 6710·5
 2008 11 869·8
 2008 10 1810.4
 2008 09 8410.2
 2008 08 879.7
 2008 07 589.7
 2008 06 379·0
 2008 05 747·9
 2008 04 529.4
 2008 03 438·7
 2008 02 848.7
 2008 01 749·0
 2007 12  68.4
 2007 11  188·6
 2007 10  648.4
 2007 09  228·7
 2007 08  208·8
 2007 07  818.7
 2007 06  97.7
 2007 05  838·2
 2007 04  868.6
 2007 03  609·1
 2007 02  768·5
 2007 01  428.3
 2006 12 257·5
 2006 11 48.3
 2006 10 477.9
 2006 09 148·0
 2006 08 808.4
 2006 07 888·0
 2006 06 287·3
 2006 05 368.5
 2006 04 208·4
 2006 03 138·7
 2006 02 519.1
 2006 01 718.6
 2005 12  398.7
 2005 11  58·5
 2005 10  728·6
 2005 09  78·4
 2005 08  589·2
 2005 07  138·8
 2005 06  749·0
 2005 05  569.1
 2005 04  199·0
 2005 03  139.3
 2005 02  629·2
 2005 01  579·4
 2004 12 929·5
 2004 11 69.7
 2004 10 689·5
 2004 09 739·6
 2004 08 719·2
 2004 07 178·9
 2004 06 5011·0
 2004 05 929.9
 2004 04 759·5
 2004 03 9610·2
 2004 02 8810.2
 2004 01 2510.6
 2003 12  4910.4
 2003 11  1910·3
 2003 10  9010.4
 2003 09  1210.2
 2003 08  6110.1
 2003 07  8610·3
 2003 06  8611·5
 2003 05  159·9
 2003 04  610·2
 2003 03  229·7
 2003 02  349·5
 2003 01  239·6
 2002 12 39·6
 2002 11 789·3
 2002 10 169.6
 2002 09 479.5
 2002 08 969.0
 2002 07 308.9
 2002 06 3711.0
 2002 05 269.5
 2002 04 538·9
 2002 03 778·4
 2002 02 308·3
 2002 01 228.4
 2001 12  708.2
 2001 11  457·7
 2001 10  507·3
 2001 09  247·2
 2001 08  656.9
 2001 07  856·8
 2001 06  816.0
 2001 05  456.3
 2001 04  835·9
 2001 03  716.6
 2001 02  286·1
 2001 01  225.8
 2000 12 936.0
 2000 11 46·1
 2000 10 236·1
 2000 09 185·2
 2000 08 886·3
 2000 07 106.0
 2000 06 235·7
 2000 05 225.8
 2000 04 886.1
 2000 03 406·0
 2000 02 106·1
 2000 01 455·8
 1999 12  375.8
 1999 11  676·2
 1999 10  896·1
 1999 09  276·0
 1999 08  46·5
 1999 07  935.8
 1999 06  936.3
 1999 05  296.5
 1999 04  846.2
 1999 03  446·8
 1999 02  786·8
 1999 01  406·9
 1998 12 956.8
 1998 11 696.6
 1998 10 265·8
 1998 09 736.7
 1998 08 826·8
 1998 07 436·7
 1998 06 446·9
 1998 05 656·0
 1998 04 136·7
 1998 03 696.8
 1998 02 637·0
 1998 01 807.4
 1997 12  847.5
 1997 11  697.6
 1997 10  397.7
 1997 09  48.2
 1997 08  127.8
 1997 07  968·3
 1997 06  558.0
 1997 05  528.0
 1997 04  438.3
 1997 03  257.9
 1997 02  188·1
 1997 01  627.8
 1996 12 457·8
 1996 11 557·7
 1996 10 588·3
 1996 09 958·5
 1996 08 128·4
 1996 07 138·3
 1996 06 328·3
 1996 05 398.6
 1996 04 648.6
 1996 03 488·3
 1996 02 237·8
 1996 01 98.3
 1995 12  458.3
 1995 11  378.0
 1995 10  368.2
 1995 09  417.9
 1995 08  238·3
 1995 07  788·5
 1995 06  47.9
 1995 05  999.1
 1995 04  948·3
 1995 03  998.3
 1995 02  828·1
 1995 01  708.0
 1994 12 768·7
 1994 11 499·0
 1994 10 5310.0
 1994 09 689·2
 1994 08 138.9
 1994 07 39·0
 1994 06 249.3
 1994 05 299.2
 1994 04 749·1
 1994 03 639·3
 1994 02 259·2
 1994 01 188·6
 1993 12  558.3
 1993 11  538.3
 1993 10  148·0
 1993 09  228.3
 1993 08  728.2
 1993 07  248·2
 1993 06  728.3
 1993 05  538.1
 1993 04  728.4
 1993 03  518·5
 1993 02  58.5
 1993 01  518.6
 1992 12 239·3
 1992 11 349.0
 1992 10 479.0
 1992 09 778.6
 1992 08 198·8
 1992 07 998.6
 1992 06 528·7
 1992 05 198·8
 1992 04 798.5
 1992 03 978.3
 1992 02 38·2
 1992 01 918·1
 1991 12  487·8
 1991 11  37.5
 1991 10  67·2
 1991 09  306.8
 1991 08  947·3
 1991 07  167·0
 1991 06  946·9
 1991 05  06.4
 1991 04  126.6
 1991 03  646·7
 1991 02  226·2
 1991 01  876.0
 1990 12 205·9
 1990 11 955.7
 1990 10 725.8
 1990 09 65·6
 1990 08 645·4
 1990 07 855·4
 1990 06 525.2
 1990 05 935.2
 1990 04 124·8
 1990 03 355·1
 1990 02 925.3
 1990 01 125.1
 1989 12  584.9
 1989 11  714.8
 1989 10  494·9
 1989 09  514.9
 1989 08  225·0
 1989 07  415·6
 1989 06  55·4
 1989 05  235.3
 1989 04  475.4
 1989 03  235.4
 1989 02  665.4
 1989 01  645·6
 1988 12 35.9
 1988 11 165·7
 1988 10 655·6
 1988 09 405.7
 1988 08 835.9
 1988 07 456.1
 1988 06 575.8
 1988 05 365.9
 1988 04 85.9
 1988 03 626·4
 1988 02 256.3
 1988 01 666·2
 1987 12  206.0
 1987 11  416.2
 1987 10  756.3
 1987 09  696.0
 1987 08  906.4
 1987 07  826·5
 1987 06  396.5
 1987 05  66·6
 1987 04  127·1
 1987 03  126·6
 1987 02  736.6
 1987 01  676.9
 1986 12 47.1
 1986 11 817.1
 1986 10 587.0
 1986 09 627·4
 1986 08 107.1
 1986 07 636·9
 1986 06 37·0
 1986 05 326.8
 1986 04 16.7
 1986 03 606·8
 1986 02 386·9
 1986 01 386.7
 1985 12  696·8
 1985 11  977·0
 1985 10  207·1
 1985 09  686.9
 1985 08  357·1
 1985 07  246·9
 1985 06  306·6
 1985 05  356.9
 1985 04  416·9
 1985 03  177.1
 1985 02  757.1
 1985 01  786·8
 1984 12 587.3
 1984 11 757·2
 1984 10 887·2
 1984 09 597.6
 1984 08 807.3
 1984 07 257.5
 1984 06 237·5
 1984 05 659.1
 1984 04 258·2
 1984 03 168·3
 1984 02 648·3
 1984 01 109.1
 1983 12  388.7
 1983 11  259.3
 1983 10  179·4
 1983 09  329.3
 1983 08  889.3
 1983 07  5110.1
 1983 06  1311·3
 1983 05  9412.3
 1983 04  6910.9
 1983 03  2010.4
 1983 02  99.8
 1983 01  8311.1
 1982 12 110.2
 1982 11 8210.0
 1982 10 869.7
 1982 09 129.5
 1982 08 278·7
 1982 07 138.5
 1982 06 529·5
 1982 05 208.5
 1982 04 168.1
 1982 03 137.7
 1982 02 387.5
 1982 01 697·1
 1981 12  636·9
 1981 11  86·9
 1981 10  16·8
 1981 09  476·8
 1981 08  867.2
 1981 07  477.1
 1981 06  226·6
 1981 05  676·9
 1981 04  317.4
 1981 03  77·1
 1981 02  77.1
 1981 01  667.4
 1980 12 657·5
 1980 11 877·7
 1980 10 907.5
 1980 09 87.7
 1980 08 847.5
 1980 07 147.0
 1980 06 256·4
 1980 05 815·7
 1980 04 75.8
 1980 03 366·0
 1980 02 955·8
 1980 01 985·3
 1979 12  765·7
 1979 11  315·3
 1979 10  75·5
 1979 09  965.5
 1979 08  634·8
 1979 07  975.9
 1979 06  915·6
 1979 05  385.6
 1979 04  605·4
 1979 03  625.9
 1979 02  65·9
 1979 01  125.9
 1978 12 875.6
 1978 11 745.5
 1978 10 315·9
 1978 09 315.6
 1978 08 885·8
 1978 07 105.8
 1978 06 756.0
 1978 05 335·7
 1978 04 326.1
 1978 03 696·2
 1978 02 686.7
 1978 01 816.5
 1977 12  146·8
 1977 11  787·0
 1977 10  686·9
 1977 09  636·7
 1977 08  527.0
 1977 07  867.1
 1977 06  566.2
 1977 05  917·9
 1977 04  907.3
 1977 03  697.2
 1977 02  387.2
 1977 01  47.5
 1976 12 998·0
 1976 11 278·4
 1976 10 467·7
 1976 09 647·8
 1976 08 717·9
 1976 07 867·7
 1976 06 377·8
 1976 05 608.3
 1976 04 278·2
 1976 03 978·7
 1976 02 938·2
 1976 01 49.0
 1975 12  99·0
 1975 11  339.5
 1975 10  208·6
 1975 09  339.2
 1975 08  889.2
 1975 07  978.6
 1975 06  498·8
 1975 05  129.4
 1975 04  578.7
 1975 03  137·2
 1975 02  387.1
 1975 01  286.3
 1974 12 365.7
 1974 11 315.2
 1974 10 685.5
 1974 09 935.3
 1974 08 695·0
 1974 07 285.7
 1974 06 465·3
 1974 05 464·6
 1974 04 255·0
 1974 03 34·8
 1974 02 35·1
 1974 01 495.0
 1973 12  974·7
 1973 11  825.1
 1973 10  965·5
 1973 09  915·4
 1973 08  64.9
 1973 07  155·2
 1973 06  65·0
 1973 05  844·9
 1973 04  955·0
 1973 03  775·5
 1973 02  415.2
 1973 01  675·7
 1972 12 346·1
 1972 11 705.7
 1972 10 325.7
 1972 09 15.6
 1972 08 166.0
 1972 07 186·1
 1972 06 355.4
 1972 05 766.6
 1972 04 606·7
 1972 03 726.6
 1972 02 326.6
 1972 01 36·2
 1971 12  126·2
 1971 11  76.4
 1971 10  316.5
 1971 09  215.8
 1971 08  406·4
 1971 07  246.2
 1971 06  615.7
 1971 05  936·7
 1971 04  386·5
 1971 03  486.4
 1971 02  816·3
 1971 01  66.2
 1970 12 255·9
 1970 11 295.6
 1970 10 725.2
 1970 09 735.2
 1970 08 455·4
 1970 07 425.1
 1970 06 404.9
 1970 05 334·7
 1970 04 684.1
 1970 03 894·6
 1970 02 164.5
 1970 01 484.6
 1969 12  884.6
 1969 11  954.8
 1969 10  594.5
 1969 09  74.7
 1969 08  244·4
 1969 07  94.4
 1969 06  494·4
 1969 05  214.2
 1969 04  204·0
 1969 03  84·0
 1969 02  934·9
 1969 01  294.4
 1968 12 444.4
 1968 11 914.4
 1968 10 224.8
 1968 09 944.6


 1968 08 934.2
 1968 07 844.5
 1968 06 944.4
 1968 05 44.4
 1968 04 834·6
 1968 03 384·1
 1968 02 894·5
 1968 01 715·1
 1967 12  604.8
 1967 11  284·7
 1967 10  154·9
 1967 09  334·6
 1967 08  934·7
 1967 07  544·5
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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
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