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2012 04 7215·0
2012 03 9015·4
2012 02 8618·8
2012 01 4419.8
2011 12 7321·3
2011 11 8221.1
2011 10 8420·4
2011 09 2116·7
2011 08 1612.1
2011 07 498.7
2011 06 599·8
2011 05 7214·0
2011 04 5018.2
2011 03 7016·9
2011 02 2217·0
2011 01 4119.3
2010 12 5223·4
2010 11 5323·5
2010 10 1222·4
2010 09 9616.8
2010 08 2111.6
2010 07 298·3
2010 06 929·3
2010 05 3313.9
2010 04 8315.2
2010 03 5616.4
2010 02 4922·4
2010 01 6919·5
2009 12 8819·0
2009 11 1421·5
2009 10 9619·5
2009 09 5118.0
2009 08 1213·7
2009 07 1010.6
2009 06 7211·2
2009 05 4517·7
2009 04 5515·4
2009 03 7717.1
2009 02 3919.2
2009 01 4819·3
2008 12 4316·7
2008 11 7014·9
2008 10 8416.4
2008 09 7716.5
2008 08 258.8
2008 07 717·4
2008 06 226.8
2008 05 779.2
2008 04 7813·4
2008 03 8715.0
2008 02 9014·0
2008 01 1714·4
2007 12 114·6
2007 11 5011.6
2007 10 5015.0
2007 09 9110.6
2007 08 2010.1
2007 07 167·7
2007 06 917.5
2007 05 1915·9
2007 04 8614·2
2007 03 6614.9
2007 02 2512·7
2007 01 4412.1
2006 12 7311.3
2006 11 812.8
2006 10 9114·9
2006 09 3612·8
2006 08 836.1
2006 07 735·8
2006 06 517.1
2006 05 888.1
2006 04 409.7
2006 03 1812·9
2006 02 9316·2
2006 01 2115.1
2005 12 9614.7
2005 11 2412·7
2005 10 3010.4
2005 09 7711·0
2005 08 248.7
2005 07 997.1
2005 06 08.8
2005 05 2710.3
2005 04 2710.6
2005 03 7214·6
2005 02 6613.7
2005 01 6415·0
2004 12 2815.6
2004 11 313.2
2004 10 1615.2
2004 09 88.4
2004 08 795.6
2004 07 716.0
2004 06 627·1
2004 05 213.8
2004 04 5511.8
2004 03 8311·9
2004 02 4315.7
2004 01 1619.3
2003 12 5715.8
2003 11 7214.1
2003 10 2115·9
2003 09 4412.5
2003 08 99.3
2003 07 9410.6
2003 06 859·8
2003 05 512·9
2003 04 6218.2
2003 03 3015.8
2003 02 4714·2
2003 01 4314.9
2002 12 9215.9
2002 11 8713·6
2002 10 4412.3
2002 09 279·5
2002 08 987·8
2002 07 974·4
2002 06 415·8
2002 05 5211.1
2002 04 712.3
2002 03 1616·4
2002 02 2514.6
2002 01 3613.9
2001 12 6816·3
2001 11 2710.0
2001 10 811.9
2001 09 249·7
2001 08 588.3
2001 07 356·3
2001 06 295·6
2001 05 8511.1
2001 04 7612·9
2001 03 7212.4
2001 02 5010·5
2001 01 138.3
2000 12 489.3
2000 11 969.0
2000 10 6010·7
2000 09 286.0
2000 08 244.9
2000 07 875·0
2000 06 715.8
2000 05 728·9
2000 04 7911.9
2000 03 526·4
2000 02 2110·5
2000 01 1610.2
1999 12 159·2
1999 11 237.2
1999 10 7411.3
1999 09 547·8
1999 08 567·7
1999 07 574.8
1999 06 166·1
1999 05 47.1
1999 04 5310·9
1999 03 3511·6
1999 02 6111.0
1999 01 118.7
1998 12 818·9
1998 11 648.0
1998 10 478·4
1998 09 448·7
1998 08 415·6
1998 07 755·6
1998 06 375.9
1998 05 986·1
1998 04 5711.3
1998 03 2511.5
1998 02 1813·2
1998 01 908·9
1997 12 8115.4
1997 11 9611.4
1997 10 412·8
1997 09 6611·2
1997 08 886·2
1997 07 945.5
1997 06 326.3
1997 05 9512·4
1997 04 7816·0
1997 03 5212.4
1997 02 6512·6
1997 01 7013·3
1996 12 7610.8
1996 11 2511.3
1996 10 9110·1
1996 09 1110.1
1996 08 348·2
1996 07 956.6
1996 06 236.7
1996 05 6210.1
1996 04 2513.0
1996 03 6910·9
1996 02 9913·5
1996 01 9314.9
1995 12 5212.7
1995 11 7911·5
1995 10 8212·5
1995 09 9612·7
1995 08 387.4
1995 07 816.2
1995 06 607·4
1995 05 9214·5
1995 04 3511.8
1995 03 5715·8
1995 02 4513.6
1995 01 2514·3
1994 12 1713·5
1994 11 1413·7
1994 10 7513.8
1994 09 6311.4
1994 08 868·7
1994 07 829.4
1994 06 148·1
1994 05 111.1
1994 04 6712·8
1994 03 2015·0
1994 02 4914·0
1994 01 5815·5
1993 12 1011·3
1993 11 77·1
1993 10 937·5
1993 09 789.3
1993 08 904·0
1993 07 523.6
1993 06 854·7
1993 05 318·7
1993 04 810.3
1993 03 8611·2
1993 02 869.1
1993 01 911·5
1992 12 8913·0
1992 11 6411·5
1992 10 8411·0
1992 09 348·5
1992 08 845.0
1992 07 704·1
1992 06 944·1
1992 05 489.9
1992 04 6811.1
1992 03 1011.3
1992 02 5215·1
1992 01 2112.5
1991 12 419·6
1991 11 149·9
1991 10 2211·7
1991 09 466.5
1991 08 295.7
1991 07 415·6
1991 06 915.6
1991 05 448.6
1991 04 828·1
1991 03 719.4
1991 02 729·8
1991 01 589.5
1990 12 758.5
1990 11 129·4
1990 10 37.6
1990 09 585.9
1990 08 102.8
1990 07 942.2
1990 06 472.5
1990 05 375·8
1990 04 118·6
1990 03 757·8
1990 02 925·7
1990 01 156·6
1989 12 298·2
1989 11 357·7
1989 10 517.4
1989 09 355·5
1989 08 383.9
1989 07 832·0
1989 06 623·0
1989 05 686·0
1989 04 416.7
1989 03 497·5
1989 02 878·4
1989 01 69.6
1988 12 619·1
1988 11 907·7
1988 10 159·5
1988 09 704·8
1988 08 491·6
1988 07 873.0
1988 06 583.7
1988 05 37·6
1988 04 818·9
1988 03 488·3
1988 02 549·0
1988 01 758·6
1987 12 5813·3
1987 11 48·3
1987 10 678.1
1987 09 796.4
1987 08 34.2
1987 07 123.3
1987 06 844.7
1987 05 358·1
1987 04 6910.8
1987 03 526.9
1987 02 178·2
1987 01 8710·8
1986 12 3010.0
1986 11 339·4
1986 10 58·7
1986 09 46·8
1986 08 865·2
1986 07 855·7
1986 06 116·1
1986 05 806·6
1986 04 6410.7
1986 03 6510.0
1986 02 2310.7
1986 01 3510.0
1985 12 139·9
1985 11 559.4
1985 10 5311·0
1985 09 126.4
1985 08 84.3
1985 07 622.8
1985 06 393·9
1985 05 817.6
1985 04 519.0
1985 03 1610·1
1985 02 4510.9
1985 01 359.3
1984 12 679·8
1984 11 7610·7
1984 10 5811·6
1984 09 957·4
1984 08 55·1
1984 07 213.1
1984 06 914.1
1984 05 38·8
1984 04 4211.6
1984 03 6010·7
1984 02 8212.5
1984 01 3013.9
1983 12 7813·0
1983 11 2313.3
1983 10 9311·7
1983 09 6910·7
1983 08 376.1
1983 07 687.6
1983 06 146·5
1983 05 4012.0
1983 04 7212·5
1983 03 7516·4
1983 02 5616·8
1983 01 8617.8
1982 12 5618.2
1982 11 5216·6
1982 10 5716·3
1982 09 7612·2
1982 08 907·7
1982 07 306.0
1982 06 817.7
1982 05 612.2
1982 04 113·0
1982 03 6712.4
1982 02 1513.3
1982 01 9412·4
1981 12 3713.0
1981 11 4211.7
1981 10 7311.3
1981 09 8410·4
1981 08 757.3
1981 07 645·0
1981 06 915.8
1981 05 459.1
1981 04 1513·9
1981 03 6313.2
1981 02 3412·7
1981 01 7212·5
1980 12 8214.9
1980 11 979·8
1980 10 8812.2
1980 09 848.8
1980 08 267.2
1980 07 474·9
1980 06 675.0
1980 05 2410.2
1980 04 2410·9
1980 03 2010.0
1980 02 811.1
1980 01 629.9
1979 12 758.9
1979 11 477.4
1979 10 767·6
1979 09 924·5
1979 08 52.8
1979 07 843·1
1979 06 564.5
1979 05 339.4
1979 04 6510·9
1979 03 158·4
1979 02 639·9
1979 01 2910.4
1978 12 2810·0
1978 11 457·7
1978 10 348.2
1978 09 505·6
1978 08 975·1
1978 07 54.0
1978 06 325·7
1978 05 908·6
1978 04 9710.9
1978 03 5310.0
1978 02 4513·8
1978 01 6712.3
1977 12 7711·6
1977 11 719·1
1977 10 8610·4
1977 09 265·6
1977 08 135·7
1977 07 645·1
1977 06 936·3
1977 05 3612·3
1977 04 612.6
1977 03 659.1
1977 02 2811.8
1977 01 9113.3
1976 12 8111.4
1976 11 2911.6
1976 10 8011·0
1976 09 119.5
1976 08 885.9
1976 07 405·9
1976 06 617.0
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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
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or alter the examples after this blank template.
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Example 1: Get Unemployment Rates for people in Computer jobs |
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Example 2: Get Employment Data for Workers in the "Retail Trade" Industry |
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Example 3: Get Population Level Data for Workers |
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