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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 02  4210·0
 2017 01  6110·2
 2016 12 8610·3
 2016 11 5610.2
 2016 10 3610·2
 2016 09 9210.3
 2016 08 9310.9
 2016 07 3711·5
 2016 06 310.2
 2016 05 2810·6
 2016 04 811.2
 2016 03 2311.4
 2016 02 9311·3
 2016 01 5011.2
 2015 12  4210.7
 2015 11  5811·0
 2015 10  8211.4
 2015 09  6511·4
 2015 08  3411.9
 2015 07  1111·3
 2015 06  6911·5
 2015 05  511.6
 2015 04  4811.5
 2015 03  7711·9
 2015 02  8012·8
 2015 01  2613.2
 2014 12 7012·7
 2014 11 7413·0
 2014 10 6613.6
 2014 09 1013·4
 2014 08 1313·0
 2014 07 4713.5
 2014 06 213.6
 2014 05 6414.6
 2014 04 1615.7
 2014 03 6415.7
 2014 02 8815·8
 2014 01 1915·5
 2013 12  4217.1
 2013 11  2017·1
 2013 10  5016.4
 2013 09  3116·6
 2013 08  7816·6
 2013 07  3516·3
 2013 06  3817·0
 2013 05  8417·1
 2013 04  3717.1
 2013 03  5117.6
 2013 02  2717·2
 2013 01  8215.9
 2012 12 5717.7
 2012 11 3918.6
 2012 10 1819.9
 2012 09 5818·8
 2012 08 018.4
 2012 07 9317.5
 2012 06 3720.4
 2012 05 6819·9
 2012 04 5619·1
 2012 03 3119·2
 2012 02 3319.7
 2012 01 9520·8
 2011 12  3720.5
 2011 11  9720·8
 2011 10  8220.6
 2011 09  4422.0
 2011 08  8022.4
 2011 07  6222·0
 2011 06  8522·4
 2011 05  4721·6
 2011 04  4920.9
 2011 03  1821·5
 2011 02  6721·1
 2011 01  6221·5
 2010 12 3121·9
 2010 11 8621·0
 2010 10 7821.2
 2010 09 6920·3
 2010 08 3921·0
 2010 07 922.3
 2010 06 9325.2
 2010 05 7522.3
 2010 04 1222·1
 2010 03 5720·4
 2010 02 1319·9
 2010 01 1220.0
 2009 12  1120.1
 2009 11  2319.8
 2009 10  6418.9
 2009 09  3717·8
 2009 08  2616·3
 2009 07  2616.0
 2009 06  9617.2
 2009 05  3114.2
 2009 04  6913.1
 2009 03  1212.3
 2009 02  8411.7
 2009 01  110.7
 2008 12 7710·5
 2008 11 499·8
 2008 10 2810·4
 2008 09 7810.2
 2008 08 149.7
 2008 07 319.7
 2008 06 559.0
 2008 05 197·9
 2008 04 679.4
 2008 03 778.7
 2008 02 138.7
 2008 01 69.0
 2007 12  508·4
 2007 11  318.6
 2007 10  808·4
 2007 09  468.7
 2007 08  08.8
 2007 07  638.7
 2007 06  547.7
 2007 05  698·2
 2007 04  818.6
 2007 03  679·1
 2007 02  638·5
 2007 01  338.3
 2006 12 797·5
 2006 11 628.3
 2006 10 557.9
 2006 09 198.0
 2006 08 98.4
 2006 07 928.0
 2006 06 67·3
 2006 05 358.5
 2006 04 78·4
 2006 03 258.7
 2006 02 179.1
 2006 01 108.6
 2005 12  378.7
 2005 11  578·5
 2005 10  138·6
 2005 09  48·4
 2005 08  879·2
 2005 07  78.8
 2005 06  459.0
 2005 05  959.1
 2005 04  699·0
 2005 03  189·3
 2005 02  879.2
 2005 01  939·4
 2004 12 229·5
 2004 11 609·7
 2004 10 419·5
 2004 09 279.6
 2004 08 89.2
 2004 07 268.9
 2004 06 3111·0
 2004 05 569.9
 2004 04 159·5
 2004 03 3710·2
 2004 02 910.2
 2004 01 6010·6
 2003 12  5710·4
 2003 11  3510.3
 2003 10  4910.4
 2003 09  4510.2
 2003 08  7010·1
 2003 07  9110.3
 2003 06  5211·5
 2003 05  459.9
 2003 04  1910.2
 2003 03  999·7
 2003 02  429.5
 2003 01  159.6
 2002 12 909.6
 2002 11 769.3
 2002 10 729·6
 2002 09 379·5
 2002 08 969·0
 2002 07 698.9
 2002 06 1511.0
 2002 05 179.5
 2002 04 778·9
 2002 03 458.4
 2002 02 738·3
 2002 01 888·4
 2001 12  948.2
 2001 11  07·7
 2001 10  717·3
 2001 09  67.2
 2001 08  356.9
 2001 07  516.8
 2001 06  596·0
 2001 05  526·3
 2001 04  135·9
 2001 03  446·6
 2001 02  126.1
 2001 01  335·8
 2000 12 676.0
 2000 11 476·1
 2000 10 326.1
 2000 09 815·2
 2000 08 586.3
 2000 07 546·0
 2000 06 425.7
 2000 05 535.8
 2000 04 766.1
 2000 03 856.0
 2000 02 956.1
 2000 01 305·8
 1999 12  325·8
 1999 11  856·2
 1999 10  646·1
 1999 09  186.0
 1999 08  656.5
 1999 07  205·8
 1999 06  516·3
 1999 05  506·5
 1999 04  376.2
 1999 03  886·8
 1999 02  816·8
 1999 01  826·9
 1998 12 376·8
 1998 11 56·6
 1998 10 55.8
 1998 09 966.7
 1998 08 786·8
 1998 07 166.7
 1998 06 976.9
 1998 05 986·0
 1998 04 966.7
 1998 03 926.8
 1998 02 587.0
 1998 01 207·4
 1997 12  567.5
 1997 11  247.6
 1997 10  137.7
 1997 09  188·2
 1997 08  457.8
 1997 07  348.3
 1997 06  138·0
 1997 05  758.0
 1997 04  768·3
 1997 03  657·9
 1997 02  348.1
 1997 01  977.8
 1996 12 867·8
 1996 11 857·7
 1996 10 758·3
 1996 09 158·5
 1996 08 398·4
 1996 07 908.3
 1996 06 628·3
 1996 05 868·6
 1996 04 238.6
 1996 03 988.3
 1996 02 467·8
 1996 01 928.3
 1995 12  518·3
 1995 11  548·0
 1995 10  28·2
 1995 09  397·9
 1995 08  598·3
 1995 07  268·5
 1995 06  297.9
 1995 05  609·1
 1995 04  128.3
 1995 03  98.3
 1995 02  548.1
 1995 01  108.0
 1994 12 978.7
 1994 11 229.0
 1994 10 2810.0
 1994 09 729.2
 1994 08 288.9
 1994 07 99·0
 1994 06 249·3
 1994 05 529·2
 1994 04 419.1
 1994 03 399.3
 1994 02 459.2
 1994 01 818·6
 1993 12  08.3
 1993 11  78·3
 1993 10  148.0
 1993 09  168.3
 1993 08  928·2
 1993 07  318·2
 1993 06  838·3
 1993 05  408.1
 1993 04  328·4
 1993 03  558·5
 1993 02  278.5
 1993 01  588·6
 1992 12 559.3
 1992 11 509.0
 1992 10 479.0
 1992 09 28·6
 1992 08 278·8
 1992 07 88.6
 1992 06 678.7
 1992 05 298·8
 1992 04 338.5
 1992 03 498.3
 1992 02 388.2
 1992 01 218·1
 1991 12  887.8
 1991 11  187.5
 1991 10  357.2
 1991 09  846.8
 1991 08  287.3
 1991 07  837.0
 1991 06  606·9
 1991 05  496·4
 1991 04  186·6
 1991 03  386·7
 1991 02  376.2
 1991 01  746·0
 1990 12 455·9
 1990 11 35.7
 1990 10 165·8
 1990 09 405·6
 1990 08 215·4
 1990 07 215.4
 1990 06 745.2
 1990 05 545·2
 1990 04 854·8
 1990 03 635·1
 1990 02 105·3
 1990 01 475.1
 1989 12  994·9
 1989 11  214.8
 1989 10  494.9
 1989 09  754·9
 1989 08  525·0
 1989 07  165.6
 1989 06  435.4
 1989 05  225.3
 1989 04  565·4
 1989 03  915·4
 1989 02  675.4
 1989 01  935.6
 1988 12 495.9
 1988 11 165·7
 1988 10 215.6
 1988 09 195·7
 1988 08 955·9
 1988 07 846.1
 1988 06 305·8
 1988 05 595.9
 1988 04 805.9
 1988 03 146·4
 1988 02 456·3
 1988 01 926.2
 1987 12  186·0
 1987 11  526.2
 1987 10  416·3
 1987 09  266.0
 1987 08  476·4
 1987 07  666.5
 1987 06  186.5
 1987 05  936·6
 1987 04  307.1
 1987 03  496·6
 1987 02  36.6
 1987 01  486.9
 1986 12 547.1
 1986 11 227.1
 1986 10 457·0
 1986 09 757.4
 1986 08 327·1
 1986 07 296.9
 1986 06 197·0
 1986 05 796·8
 1986 04 36.7
 1986 03 386·8
 1986 02 276.9
 1986 01 926.7
 1985 12  296.8
 1985 11  447·0
 1985 10  947.1
 1985 09  706·9
 1985 08  997·1
 1985 07  656.9
 1985 06  696.6
 1985 05  966·9
 1985 04  246·9
 1985 03  477.1
 1985 02  287·1
 1985 01  766.8
 1984 12 437.3
 1984 11 587·2
 1984 10 737·2
 1984 09 417.6
 1984 08 197.3
 1984 07 927·5
 1984 06 277·5
 1984 05 489.1
 1984 04 398·2
 1984 03 688·3
 1984 02 428·3
 1984 01 809.1
 1983 12  178.7
 1983 11  319.3
 1983 10  939·4
 1983 09  429·3
 1983 08  919·3
 1983 07  5010.1
 1983 06  7911.3
 1983 05  6612.3
 1983 04  2210.9
 1983 03  1810.4
 1983 02  289·8
 1983 01  811.1
 1982 12 010·2
 1982 11 5610.0
 1982 10 899.7
 1982 09 529·5
 1982 08 388·7
 1982 07 78·5
 1982 06 379.5
 1982 05 28·5
 1982 04 728.1
 1982 03 397.7
 1982 02 737·5
 1982 01 917.1
 1981 12  666·9
 1981 11  496.9
 1981 10  226.8
 1981 09  756.8
 1981 08  87.2
 1981 07  537.1
 1981 06  356.6
 1981 05  376.9
 1981 04  107.4
 1981 03  987·1
 1981 02  867·1
 1981 01  817.4
 1980 12 117·5
 1980 11 517.7
 1980 10 777.5
 1980 09 427·7
 1980 08 747·5
 1980 07 87.0
 1980 06 336·4
 1980 05 745.7
 1980 04 865·8
 1980 03 866·0
 1980 02 45.8
 1980 01 595.3
 1979 12  605·7
 1979 11  305·3
 1979 10  665·5
 1979 09  55.5
 1979 08  344.8
 1979 07  105·9
 1979 06  195·6
 1979 05  435.6
 1979 04  715·4
 1979 03  205·9
 1979 02  875·9
 1979 01  295.9
 1978 12 595.6
 1978 11 785·5
 1978 10 235·9
 1978 09 455.6
 1978 08 115·8
 1978 07 295·8
 1978 06 16.0
 1978 05 985·7
 1978 04 656·1
 1978 03 426.2
 1978 02 216.7
 1978 01 206.5
 1977 12  836·8
 1977 11  117·0
 1977 10  96.9
 1977 09  666·7
 1977 08  547.0
 1977 07  557·1
 1977 06  166·2
 1977 05  197·9
 1977 04  907·3
 1977 03  197.2
 1977 02  167·2
 1977 01  867·5
 1976 12 298·0
 1976 11 718.4
 1976 10 107·7
 1976 09 977·8
 1976 08 357.9
 1976 07 67.7
 1976 06 247.8
 1976 05 108·3
 1976 04 948·2
 1976 03 428·7
 1976 02 78·2
 1976 01 69·0
 1975 12  219.0
 1975 11  259·5
 1975 10  368·6
 1975 09  929·2
 1975 08  529·2
 1975 07  228.6
 1975 06  118·8
 1975 05  09.4
 1975 04  518.7
 1975 03  297.2
 1975 02  567.1
 1975 01  856·3
 1974 12 55·7
 1974 11 645.2
 1974 10 235·5
 1974 09 315·3
 1974 08 285·0
 1974 07 725·7
 1974 06 865.3
 1974 05 434.6
 1974 04 585·0
 1974 03 214.8
 1974 02 475·1
 1974 01 535·0
 1973 12  564.7
 1973 11  65.1
 1973 10  315.5
 1973 09  185·4
 1973 08  124.9
 1973 07  465.2
 1973 06  875·0
 1973 05  194.9
 1973 04  385·0
 1973 03  855.5
 1973 02  925·2
 1973 01  635·7
 1972 12 726.1
 1972 11 925.7
 1972 10 465.7
 1972 09 825·6
 1972 08 776.0
 1972 07 616.1
 1972 06 735.4
 1972 05 326·6
 1972 04 406·7
 1972 03 126.6
 1972 02 266.6
 1972 01 956.2
 1971 12  756.2
 1971 11  896.4
 1971 10  786.5
 1971 09  775.8
 1971 08  196.4
 1971 07  606·2
 1971 06  305.7
 1971 05  116·7
 1971 04  366·5
 1971 03  216·4
 1971 02  86·3
 1971 01  526.2
 1970 12 135.9
 1970 11 895.6
 1970 10 635·2
 1970 09 835.2
 1970 08 645.4
 1970 07 95.1
 1970 06 694·9
 1970 05 114.7
 1970 04 254·1
 1970 03 514.6
 1970 02 264.5
 1970 01 654.6
 1969 12  614.6
 1969 11  84·8
 1969 10  614·5
 1969 09  54.7
 1969 08  584·4
 1969 07  04·4
 1969 06  244·4
 1969 05  104·2
 1969 04  304.0
 1969 03  714.0
 1969 02  904.9
 1969 01  884·4
 1968 12 144·4
 1968 11 894·4
 1968 10 594·8
 1968 09 714·6


 1968 08 744·2
 1968 07 504.5
 1968 06 574·4
 1968 05 144·4
 1968 04 984.6
 1968 03 714.1
 1968 02 344·5
 1968 01 05.1
 1967 12  984.8
 1967 11  984·7
 1967 10  664.9
 1967 09  354·6
 1967 08  124·7
 1967 07  04.5
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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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