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2012 04 6510.3
2012 03 7510·3
2012 02 5010·7
2012 01 1210.5
2011 12 611.0
2011 11 7911·4
2011 10 8211·4
2011 09 9411·3
2011 08 7611.3
2011 07 4511.3
2011 06 7811·6
2011 05 3811.8
2011 04 2511.8
2011 03 5211.3
2011 02 4911.6
2011 01 8712.0
2010 12 2912.9
2010 11 1013.1
2010 10 3512.5
2010 09 1012.4
2010 08 8712.1
2010 07 4712.2
2010 06 9812·4
2010 05 212·3
2010 04 2712·4
2010 03 2312.6
2010 02 2612·4
2010 01 8112.6
2009 12 9612·8
2009 11 1812·6
2009 10 3213·0
2009 09 9312·7
2009 08 7313.1
2009 07 3812.5
2009 06 5312.2
2009 05 512.6
2009 04 5511.4
2009 03 1611·6
2009 02 5411·1
2009 01 1310.0
2008 12 709·4
2008 11 88·7
2008 10 208·8
2008 09 358·0
2008 08 678.1
2008 07 967·6
2008 06 677·7
2008 05 156·9
2008 04 226.9
2008 03 866·9
2008 02 306.3
2008 01 236.5
2007 12 356.3
2007 11 105·8
2007 10 745·6
2007 09 535.8
2007 08 315·5
2007 07 255.9
2007 06 855·6
2007 05 235·7
2007 04 615·5
2007 03 125.1
2007 02 785.3
2007 01 795.8
2006 12 15·0
2006 11 785.1
2006 10 904·7
2006 09 885·5
2006 08 505.3
2006 07 555.3
2006 06 835.2
2006 05 464.9
2006 04 355·3
2006 03 995·2
2006 02 465·5
2006 01 715.7
2005 12 56·1
2005 11 916·2
2005 10 925·9
2005 09 86·5
2005 08 355·8
2005 07 405·5
2005 06 585.7
2005 05 265·9
2005 04 276·4
2005 03 755·8
2005 02 76.4
2005 01 186.2
2004 12 66·5
2004 11 546·7
2004 10 286.7
2004 09 46.9
2004 08 226·8
2004 07 596.9
2004 06 336·6
2004 05 297·0
2004 04 507.1
2004 03 957·5
2004 02 597·4
2004 01 607.4
2003 12 916·6
2003 11 967.5
2003 10 717.4
2003 09 937.3
2003 08 707·7
2003 07 168·1
2003 06 558·4
2003 05 478.1
2003 04 387.6
2003 03 397·8
2003 02 257.6
2003 01 657.9
2002 12 707.9
2002 11 707.8
2002 10 197.9
2002 09 177·4
2002 08 667.5
2002 07 427·4
2002 06 997.4
2002 05 987.1
2002 04 528.0
2002 03 107.5
2002 02 547·0
2002 01 257·8
2001 12 787·7
2001 11 577.3
2001 10 957.1
2001 09 436·7
2001 08 206.5
2001 07 896·2
2001 06 626.6
2001 05 226·3
2001 04 776·4
2001 03 386.2
2001 02 176·1
2001 01 555·8
2000 12 765·7
2000 11 616·0
2000 10 485.1
2000 09 625·8
2000 08 675·9
2000 07 385.8
2000 06 675.6
2000 05 875.8
2000 04 255.5
2000 03 786·1
2000 02 135·7
2000 01 995·6
1999 12 505.8
1999 11 106·0
1999 10 496·4
1999 09 926·7
1999 08 696.5
1999 07 936.5
1999 06 626·6
1999 05 856·7
1999 04 307·0
1999 03 75.8
1999 02 666·7
1999 01 226.7
1998 12 107.7
1998 11 607·1
1998 10 987.2
1998 09 737·3
1998 08 107.4
1998 07 837·3
1998 06 217·4
1998 05 326·9
1998 04 536·7
1998 03 326·9
1998 02 236·9
1998 01 177·1
1997 12 927.3
1997 11 907·0
1997 10 177.8
1997 09 737·4
1997 08 17·2
1997 07 627.9
1997 06 417·5
1997 05 707·7
1997 04 808·2
1997 03 818·3
1997 02 578·2
1997 01 08.4
1996 12 567·4
1996 11 38.5
1996 10 558·0
1996 09 848.2
1996 08 788.8
1996 07 108·8
1996 06 458·8
1996 05 669·6
1996 04 229·6
1996 03 89.6
1996 02 679.6
1996 01 149.4
1995 12 879.3
1995 11 299·5
1995 10 839.4
1995 09 239·1
1995 08 19.6
1995 07 318.8
1995 06 829.1
1995 05 119.8
1995 04 138·9
1995 03 938.9
1995 02 759·0
1995 01 2410·2
1994 12 979·3
1994 11 238·9
1994 10 29·5
1994 09 3010·1
1994 08 569·8
1994 07 5310·1
1994 06 2410.3
1994 05 239.6
1994 04 1410.8
1994 03 409.9
1994 02 3010.1
1994 01 2310·5
1993 12 2110·6
1993 11 6410.5
1993 10 3211.4
1993 09 7410.0
1993 08 539.8
1993 07 3310.7
1993 06 6910·4
1993 05 4410.2
1993 04 1111·0
1993 03 7811.3
1993 02 411.5
1993 01 2811.3
1992 12 1911·5
1992 11 5612.0
1992 10 2411.8
1992 09 4511.8
1992 08 2911.7
1992 07 4811.7
1992 06 4212·1
1992 05 3911·7
1992 04 1511.0
1992 03 6211·2
1992 02 9611·3
1992 01 8011·0
1991 12 7710.2
1991 11 2810.4
1991 10 4910.7
1991 09 6110.9
1991 08 4310.5
1991 07 49.6
1991 06 8810·1
1991 05 210.0
1991 04 609·8
1991 03 709·8
1991 02 289·2
1991 01 469.1
1990 12 69.9
1990 11 358·9
1990 10 58·5
1990 09 638·3
1990 08 808·3
1990 07 288·0
1990 06 837·7
1990 05 487·9
1990 04 88.5
1990 03 87·4
1990 02 497·5
1990 01 187.3
1989 12 418·3
1989 11 557·9
1989 10 168·0
1989 09 198.1
1989 08 538·8
1989 07 778.8
1989 06 238.2
1989 05 197·9
1989 04 458.1
1989 03 46.6
1989 02 317·0
1989 01 138·6
1988 12 427·6
1988 11 947.9
1988 10 307·8
1988 09 197.4
1988 08 958.1
1988 07 287.9
1988 06 328·8
1988 05 838.8
1988 04 798.8
1988 03 138·4
1988 02 748.5
1988 01 727·6
1987 12 958.1
1987 11 818·8
1987 10 208.4
1987 09 828·3
1987 08 687·9
1987 07 878.1
1987 06 578·5
1987 05 318.6
1987 04 488·9
1987 03 159.3
1987 02 999·8
1987 01 6310.6
1986 12 1110.5
1986 11 699·3
1986 10 8310·4
1986 09 4811·1
1986 08 5710·9
1986 07 8310·7
1986 06 7210.6
1986 05 7910·8
1986 04 1210·3
1986 03 1210·7
1986 02 5511.9
1986 01 7710·2
1985 12 2610.5
1985 11 3910.6
1985 10 4311.1
1985 09 8410·4
1985 08 7310·4
1985 07 6911·2
1985 06 7610·7
1985 05 7110·6
1985 04 5610.4
1985 03 3510·5
1985 02 159·8
1985 01 3010·5
1984 12 9910.4
1984 11 9410·2
1984 10 4910·8
1984 09 8310·5
1984 08 5210·7
1984 07 2610.4
1984 06 9010·3
1984 05 7110.6
1984 04 9111·6
1984 03 3811.5
1984 02 7710·4
1984 01 6611.4
1983 12 1611.6
1983 11 6312.3
1983 10 7212·1
1983 09 6012·9
1983 08 5313·0
1983 07 5712.4
1983 06 6314·3
1983 05 7314.0
1983 04 5214.8
1983 03 115.6
1983 02 6315·5
1983 01 5015.3
1982 12 8815·7
1982 11 215·2
1982 10 1115.0
1982 09 5814.4
1982 08 6214·8
1982 07 9214.2
1982 06 6813·8
1982 05 9313.9
1982 04 012·9
1982 03 2712.2
1982 02 2312.1
1982 01 7411.7
1981 12 5111.7
1981 11 8911·2
1981 10 8910·7
1981 09 449·6
1981 08 9110.0
1981 07 8410·0
1981 06 310·3
1981 05 7310.0
1981 04 209.5
1981 03 4510.2
1981 02 2911·3
1981 01 5510.6
1980 12 6410·3
1980 11 289·9
1980 10 5410·6
1980 09 1011·4
1980 08 7410·8
1980 07 1510·8
1980 06 9210·1
1980 05 8010·1
1980 04 2310.4
1980 03 119·2
1980 02 798.9
1980 01 368.7
1979 12 149.1
1979 11 509.2
1979 10 808·7
1979 09 717.6
1979 08 728·7
1979 07 878.1
1979 06 818.4
1979 05 57·9
1979 04 458.2
1979 03 47.9
1979 02 967·7
1979 01 828.2
1978 12 118·7
1978 11 88·4
1978 10 638.5
1978 09 708.9
1978 08 709.1
1978 07 309·5
1978 06 459·1
1978 05 659·6
1978 04 468·5
1978 03 279.5
1978 02 299·9
1978 01 859.3
1977 12 918·8
1977 11 819.3
1977 10 289·4
1977 09 759·7
1977 08 809·4
1977 07 989.5
1977 06 8110.1
1977 05 29.9
1977 04 129.6
1977 03 1011.2
1977 02 5011·4
1977 01 6311.2
1976 12 1411·7
1976 11 7411.7
1976 10 2211.6
1976 09 7511.8
1976 08 3612·4
1976 07 7111.7
1976 06 1211·1
1976 05 8410.5
1976 04 5311·7
1976 03 811.0
1976 02 5610·7
1976 01 5711·4
1975 12 6612.1
1975 11 1612.4
1975 10 1913·0
1975 09 8912·7
1975 08 9912·1
1975 07 5211·6
1975 06 8711.7
1975 05 014.3
1975 04 412·4
1975 03 9912·1
1975 02 7311.2
1975 01 3410·7
1974 12 569.1
1974 11 618.6
1974 10 168·2
1974 09 598.1
1974 08 568.1
1974 07 728.8
1974 06 778·6
1974 05 697.3
1974 04 277·0
1974 03 887·6
1974 02 477.8
1974 01 857.6
1973 12 227.6
1973 11 908·1
1973 10 368·0
1973 09 507·7
1973 08 157·4
1973 07 857.2
1973 06 837.9
1973 05 338·1
1973 04 77.9
1973 03 47.3
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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
Input your search text below.
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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