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 Series Title: Unemployment Rate: Job Losers: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 334·4
 2012 03 834·5
 2012 02 524·7
 2012 01 54.7
 2011 12  324.9
 2011 11  254.9
 2011 10  765.1
 2011 09  105.2
 2011 08  305.3
 2011 07  975.3
 2011 06  335.4
 2011 05  455.4
 2011 04  755·3
 2011 03  815.4
 2011 02  355.4
 2011 01  545.5
 2010 12 435.8
 2010 11 826.1
 2010 10 205.8
 2010 09 66.0
 2010 08 356·0
 2010 07 335·9
 2010 06 515.9
 2010 05 956.0
 2010 04 776·0
 2010 03 916·2
 2010 02 166.2
 2010 01 416·1
 2009 12  186·3
 2009 11  366·3
 2009 10  276.5
 2009 09  886.5
 2009 08  346.3
 2009 07  766.1
 2009 06  236·2
 2009 05  46.1
 2009 04  255·8
 2009 03  425.5
 2009 02  665.2
 2009 01  844·8
 2008 12 174.3
 2008 11 914·0
 2008 10 443.7
 2008 09 473·4
 2008 08 603.2
 2008 07 52.9
 2008 06 712.8
 2008 05 382·8
 2008 04 292.6
 2008 03 892.7
 2008 02 832.5
 2008 01 242·5
 2007 12  262.5
 2007 11  772·4
 2007 10  452·4
 2007 09  12.3
 2007 08  742·4
 2007 07  232.4
 2007 06  432·2
 2007 05  882·2
 2007 04  262.2
 2007 03  112·1
 2007 02  912.2
 2007 01  292·2
 2006 12 552·1
 2006 11 472.1
 2006 10 272.1
 2006 09 922·1
 2006 08 632.2
 2006 07 622.2
 2006 06 132.2
 2006 05 722.3
 2006 04 742·3
 2006 03 122·3
 2006 02 382.2
 2006 01 892·2
 2005 12  402.3
 2005 11  812·3
 2005 10  142·4
 2005 09  862·5
 2005 08  362.3
 2005 07  732.4
 2005 06  792·4
 2005 05  322.4
 2005 04  612.4
 2005 03  222.5
 2005 02  962·6
 2005 01  222.7
 2004 12 422·7
 2004 11 832·7
 2004 10 542.8
 2004 09 752·7
 2004 08 292.7
 2004 07 382·9
 2004 06 642.8
 2004 05 342.9
 2004 04 973·0
 2004 03 943·1
 2004 02 642·9
 2004 01 703·0
 2003 12  463·1
 2003 11  833·2
 2003 10  193·3
 2003 09  753.4
 2003 08  33·4
 2003 07  603·4
 2003 06  153·4
 2003 05  703.5
 2003 04  173.3
 2003 03  93.3
 2003 02  653.3
 2003 01  993·2
 2002 12 633.3
 2002 11 343·3
 2002 10 83·2
 2002 09 303·1
 2002 08 433.2
 2002 07 693.2
 2002 06 63·2
 2002 05 573.2
 2002 04 813.2
 2002 03 693·1
 2002 02 473.1
 2002 01 13·1
 2001 12  283.1
 2001 11  173.1
 2001 10  443·0
 2001 09  42.5
 2001 08  602·4
 2001 07  192.3
 2001 06  352·3
 2001 05  372.2
 2001 04  762·1
 2001 03  62·1
 2001 02  832.0
 2001 01  931.9
 2000 12 21·8
 2000 11 351.8
 2000 10 751·7
 2000 09 911.8
 2000 08 891.9
 2000 07 881·7
 2000 06 251.7
 2000 05 761.7
 2000 04 111.6
 2000 03 721.8
 2000 02 701.9
 2000 01 161.8
 1999 12  701·7
 1999 11  181.8
 1999 10  741·8
 1999 09  71·8
 1999 08  911·9
 1999 07  831·9
 1999 06  241.9
 1999 05  661.9
 1999 04  231·9
 1999 03  481·9
 1999 02  332.0
 1999 01  392.0
 1998 12 432.0
 1998 11 202.0
 1998 10 392.1
 1998 09 932·1
 1998 08 512·0
 1998 07 312·0
 1998 06 52·0
 1998 05 252·1
 1998 04 722.0
 1998 03 372.2
 1998 02 192·1
 1998 01 512·1
 1997 12  572.2
 1997 11  202·1
 1997 10  932·1
 1997 09  182.2
 1997 08  802·2
 1997 07  872.1
 1997 06  662·3
 1997 05  932·2
 1997 04  432·3
 1997 03  692·3
 1997 02  02·3
 1997 01  712·4
 1996 12 712.3
 1996 11 232·5
 1996 10 842·3
 1996 09 712·4
 1996 08 142·3
 1996 07 312.5
 1996 06 302.5
 1996 05 382.6
 1996 04 472.8
 1996 03 982·6
 1996 02 762.7
 1996 01 402·7
 1995 12  722·6
 1995 11  582.7
 1995 10  852.7
 1995 09  712.6
 1995 08  132.6
 1995 07  662·6
 1995 06  452·6
 1995 05  512.7
 1995 04  202·6
 1995 03  42·6
 1995 02  692.6
 1995 01  242.7
 1994 12 702·6
 1994 11 792·7
 1994 10 952.7
 1994 09 592·8
 1994 08 622.9
 1994 07 222·9
 1994 06 852·9
 1994 05 492·7
 1994 04 222·9
 1994 03 903·1
 1994 02 273.2
 1994 01 163.3
 1993 12  03.4
 1993 11  653.5
 1993 10  353·7
 1993 09  13.7
 1993 08  723·8
 1993 07  543·8
 1993 06  463.8
 1993 05  753.8
 1993 04  383.9
 1993 03  873·9
 1993 02  243·8
 1993 01  323·9
 1992 12 244·0
 1992 11 224.1
 1992 10 554.3
 1992 09 904·3
 1992 08 794.2
 1992 07 404·3
 1992 06 534·4
 1992 05 944·4
 1992 04 804·2
 1992 03 484·2
 1992 02 574.2
 1992 01 144.0
 1991 12  264·0
 1991 11  773.8
 1991 10  273·8
 1991 09  423.8
 1991 08  443.8
 1991 07  853.8
 1991 06  543.8
 1991 05  993.7
 1991 04  823·6
 1991 03  523.7
 1991 02  493.5
 1991 01  293·4
 1990 12 183.1
 1990 11 863.1
 1990 10 503·0
 1990 09 02·9
 1990 08 512·8
 1990 07 182.6
 1990 06 212.5
 1990 05 72.5
 1990 04 62.5
 1990 03 42·4
 1990 02 482.4
 1990 01 692.5
 1989 12  342.5
 1989 11  272.5
 1989 10  462.4
 1989 09  292.4
 1989 08  112·4
 1989 07  932·4
 1989 06  522·3
 1989 05  582·2
 1989 04  362·4
 1989 03  342·3
 1989 02  282.3
 1989 01  502·5
 1988 12 362.5
 1988 11 62.5
 1988 10 632.5
 1988 09 232.5
 1988 08 602·5
 1988 07 912.6
 1988 06 702·6
 1988 05 212·7
 1988 04 842.4
 1988 03 952·6
 1988 02 872·6
 1988 01 142.6
 1987 12  92.6
 1987 11  512·7
 1987 10  752.9
 1987 09  962·8
 1987 08  592·8
 1987 07  142.9
 1987 06  253.0
 1987 05  873.0
 1987 04  853·1
 1987 03  673·2
 1987 02  473.2
 1987 01  293.3
 1986 12 633·3
 1986 11 163·3
 1986 10 803·4
 1986 09 933·4
 1986 08 923·3
 1986 07 933·5
 1986 06 873·6
 1986 05 723·6
 1986 04 993·4
 1986 03 543·6
 1986 02 563·5
 1986 01 853·2
 1985 12  343.4
 1985 11  813·5
 1985 10  03·5
 1985 09  783·6
 1985 08  713·6
 1985 07  813.7
 1985 06  573.6
 1985 05  183·4
 1985 04  123.7
 1985 03  863.6
 1985 02  893.7
 1985 01  13·7
 1984 12 823·7
 1984 11 513·6
 1984 10 843·8
 1984 09 443.7
 1984 08 313.7
 1984 07 593.9
 1984 06 563·7
 1984 05 933·8
 1984 04 354.0
 1984 03 164·1
 1984 02 424·2
 1984 01 164·3
 1983 12  944·5
 1983 11  544·7
 1983 10  44.9
 1983 09  85.3
 1983 08  335·5
 1983 07  295.5
 1983 06  325·9
 1983 05  886.1
 1983 04  36·1
 1983 03  246.2
 1983 02  386.2
 1983 01  996.2
 1982 12 796·4
 1982 11 446·6
 1982 10 606·6
 1982 09 126.2
 1982 08 615·8
 1982 07 225·8
 1982 06 605.6
 1982 05 195·4
 1982 04 765.4
 1982 03 145·2
 1982 02 274.8
 1982 01 414.9
 1981 12  734·8
 1981 11  24.4
 1981 10  734·1
 1981 09  214·0
 1981 08  283.8
 1981 07  923.6
 1981 06  363.8
 1981 05  293.7
 1981 04  413.6
 1981 03  173.7
 1981 02  803.8
 1981 01  593·7
 1980 12 373·9
 1980 11 313·9
 1980 10 924·0
 1980 09 294·1
 1980 08 684·2
 1980 07 184·3
 1980 06 844·1
 1980 05 853·9
 1980 04 73.5
 1980 03 853·0
 1980 02 963.0
 1980 01 943·0
 1979 12  572.7
 1979 11  612.7
 1979 10  892·6
 1979 09  522.5
 1979 08  412.6
 1979 07  52.4
 1979 06  532.2
 1979 05  772·2
 1979 04  112·5
 1979 03  982.5
 1979 02  982.5
 1979 01  142·5
 1978 12 422.5
 1978 11 462.4
 1978 10 642.4
 1978 09 322.4
 1978 08 342.4
 1978 07 812.5
 1978 06 142·4
 1978 05 242.5
 1978 04 122.6
 1978 03 602.6
 1978 02 342·7
 1978 01 102·8
 1977 12  282.8
 1977 11  653·0
 1977 10  393.0
 1977 09  353·1
 1977 08  563·2
 1977 07  23.1
 1977 06  663.1
 1977 05  673·1
 1977 04  973.2
 1977 03  23·4
 1977 02  773·6
 1977 01  03·5
 1976 12 763.8
 1976 11 233.8
 1976 10 623.7
 1976 09 533·8
 1976 08 443·8
 1976 07 453.9
 1976 06 323.9
 1976 05 723·7
 1976 04 763.8
 1976 03 763·8
 1976 02 253·8
 1976 01 243.9
 1975 12  724.2
 1975 11  484·5
 1975 10  54·6
 1975 09  45·0
 1975 08  584.8
 1975 07  164.9
 1975 06  605·1
 1975 05  315.2
 1975 04  844·9
 1975 03  634·7
 1975 02  24.4
 1975 01  494·2
 1974 12 263.5
 1974 11 963·1
 1974 10 682.6
 1974 09 282.5
 1974 08 842·3
 1974 07 452.3
 1974 06 232.2
 1974 05 622.1
 1974 04 832.2
 1974 03 672.2
 1974 02 542·2
 1974 01 692.2
 1973 12  732·0
 1973 11  451·9
 1973 10  731·7
 1973 09  931.9
 1973 08  311.9
 1973 07  841.8
 1973 06  201.9
 1973 05  51.8
 1973 04  571·9
 1973 03  171.9
 1973 02  552.0
 1973 01  982·0
 1972 12 752·1
 1972 11 992·2
 1972 10 692.3
 1972 09 912.4
 1972 08 362.5
 1972 07 142·5
 1972 06 722·5
 1972 05 282·6
 1972 04 172·4
 1972 03 662.5
 1972 02 42·5
 1972 01 792·6
 1971 12  162.7
 1971 11  892·8
 1971 10  272.7
 1971 09  382·8
 1971 08  602.9
 1971 07  382.8
 1971 06  292·7
 1971 05  232.8
 1971 04  982.8
 1971 03  962.7
 1971 02  232·8
 1971 01  802·8
 1970 12 72·9
 1970 11 682.8
 1970 10 472.7
 1970 09 762.5
 1970 08 872·3
 1970 07 872.2
 1970 06 642.2
 1970 05 72·2
 1970 04 621.9
 1970 03 91·8
 1970 02 611·7
 1970 01 901·5
 1969 12  841.4
 1969 11  161·3
 1969 10  511.3
 1969 09  721.2
 1969 08  281·2
 1969 07  141·3
 1969 06  731.2
 1969 05  201·2
 1969 04  941·3
 1969 03  361·2
 1969 02  901·2
 1969 01  291.2
 1968 12 71·2
 1968 11 371·3
 1968 10 881·3
 1968 09 181·3
 1968 08 191.4
 1968 07 991·3
 1968 06 811·2
 1968 05 301.3
 1968 04 41·3
 1968 03 301.5
 1968 02 81·5
 1968 01 361·6
 1967 12  621·6
 1967 11  601.6
 1967 10  301·6
 1967 09  301·6
 1967 08  201·5
 1967 07  461·6
 1967 06  361·7
 1967 05  291·6
 1967 04  271.6
 1967 03  701.5
 1967 02  391·6
 1967 01  801·6
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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: Unemployment Rate: Job Losers: 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

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