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2012 04 671.
2012 03 84.
2012 02 634.
2012 01 919·
2011 12 765.
2011 11 25·
2011 10 577·
2011 09 571.
2011 08 16·
2011 07 443.
2011 06 11·
2011 05 721·
2011 04 934.
2011 03 174·
2011 02 94.
2011 01 794.
2010 12 270·
2010 11 263·
2010 10 197.
2010 09 488.
2010 08 49·
2010 07 47·
2010 06 944.
2010 05 737·
2010 04 486·
2010 03 63.
2010 02 212·
2010 01 743·
2009 12 114·
2009 11 163·
2009 10 132·
2009 09 942.
2009 08 672·
2009 07 382·
2009 06 93·
2009 05 26.
2009 04 181·
2009 03 64·
2009 02 704·
2009 01 935·
2008 12 882·
2008 11 756·
2008 10 861.
2008 09 863.
2008 08 273·
2008 07 284.
2008 06 695.
2008 05 243·
2008 04 124.
2008 02 701.
2007 12 560·
2007 11 780·
2007 10 431·
2007 09 341.
2007 08 113·
2007 05 415.
2007 04 454.
2007 03 766·
2007 02 226.
2007 01 334·
2006 12 685.
2006 11 777·
2006 10 11.
2006 09 960.
2006 07 880·
2006 06 469·
2006 05 874.
2006 04 23.
2006 03 52·
2006 02 122.
2006 01 421.
2005 12 434.
2005 11 457·
2005 10 335.
2005 09 542.
2005 08 393.
2005 07 573·
2005 06 902·
2005 05 362·
2005 04 342·
2005 03 182.
2005 02 912.
2005 01 262·
2004 12 983.
2004 11 282·
2004 09 660·
2004 07 873.
2004 06 241.
2004 04 124·
2004 03 727.
2004 02 74·
2004 01 317.
2003 12 214.
2003 11 916·
2003 10 983.
2003 08 641·
2003 07 291.
2003 06 308.
2003 05 991·
2003 04 910.
2003 03 382·
2002 12 202·
2002 11 722.
2002 10 82.
2002 09 724.
2002 08 189.
2002 07 511·
2002 06 327·
2002 05 837·
2002 04 55·
2002 01 123·
2001 12 92.
2001 11 452·
2001 10 882·
2001 09 303·
2001 08 72·
2001 07 591.
2001 06 02.
2001 05 215.
2001 04 211.
2001 03 502.
2001 02 951·
2000 12 752.
2000 11 693.
2000 08 694.
2000 07 572·
2000 06 32·
2000 05 955.
2000 04 911.
2000 03 911.
2000 02 441·
2000 01 701·
1999 12 163·
1999 11 306.
1999 10 606·
1999 09 874.
1999 08 713·
1999 07 2920.
1999 06 4013.
1999 05 6522·
1999 04 415.
1999 03 727.
1999 02 963·
1999 01 482.
1998 11 923.
1998 10 637·
1998 09 668.
1998 08 615.
1998 07 3519.
1998 06 3514·
1998 05 133·
1998 04 323.
1998 03 590·
1997 12 451·
1997 11 262.
1997 10 465·
1997 09 138·
1997 08 7431·
1997 07 1618·
1997 06 9224·
1997 05 7416.
1997 04 2914·
1997 03 222.
1997 02 382.
1997 01 4110·
1996 12 4110.
1996 11 65.
1996 10 807.
1996 09 408.
1996 08 6819.
1996 07 5716.
1996 06 3711.
1996 05 216.
1996 04 905·
1996 03 881·
1996 02 517.
1996 01 608·
1995 12 155.
1995 11 3611·
1995 10 9412·
1995 09 5814·
1995 08 7342.
1995 07 6442.
1995 06 5836.
1995 05 3829·
1995 04 2227·
1995 03 6022·
1995 02 6211·
1995 01 5310.
1994 12 4411.
1994 11 3723.
1994 10 5217·
1994 09 7718·
1994 08 4436.
1994 07 3331·
1994 06 9644.
1994 05 1124.
1994 04 5516.
1994 03 1120·
1994 02 8813.
1994 01 8023·
1993 12 332.
1993 11 585.
1993 10 4812·
1993 09 3412.
1993 08 6112.
1993 07 8819·
1993 06 1919.
1993 05 493.
1993 04 438·
1993 03 393·
1993 02 715·
1993 01 255·
1992 12 135·
1992 11 724·
1992 10 983·
1992 09 8916·
1992 08 2621.
1992 07 7719.
1992 06 1913·
1992 05 8913·
1992 04 656·
1992 03 6711.
1992 02 776·
1992 01 113·
1991 12 369.
1991 11 789.
1991 10 4316·
1991 09 278·
1991 08 7116.
1991 07 7410·
1991 06 1110.
1991 05 9021·
1991 04 2614·
1991 03 4212·
1991 02 998.
1991 01 4210·
1990 12 838.
1990 11 976·
1990 10 5223·
1990 09 5811.
1990 08 4928·
1990 07 7525·
1990 06 3822.
1990 05 393.
1990 04 558.
1990 03 392.
1990 02 532·
1990 01 98·
1989 12 573.
1989 11 7812.
1989 10 1417·
1989 09 2018·
1989 08 3927.
1989 07 422·
1989 06 6717·
1989 05 4616.
1989 04 522.
1989 03 5511.
1989 02 8010.
1989 01 8826.
1988 12 898·
1988 11 9511·
1988 10 486.
1988 09 7117.
1988 08 4514·
1988 07 1015·
1988 06 8916.
1988 05 4620·
1988 04 5712.
1988 03 142·
1988 02 487.
1988 01 891.
1987 12 317.
1987 11 442.
1987 10 956·
1987 09 988.
1987 08 989.
1987 07 6420·
1987 06 2214·
1987 05 114·
1987 04 1512.
1987 03 623.
1987 02 495·
1987 01 475·
1986 12 645.
1986 11 503·
1986 10 2111.
1986 09 119.
1986 08 519·
1986 07 6617.
1986 06 618·
1986 05 9515·
1986 04 816·
1986 03 749·
1986 02 994·
1986 01 2310.
1985 12 926.
1985 11 605·
1985 10 1911.
1985 09 4618.
1985 08 8419·
1985 07 3919·
1985 06 1013.
1985 05 3918.
1985 04 9011.
1985 03 4710·
1985 02 4011·
1985 01 39.
1984 12 4415.
1984 11 4815.
1984 10 513.
1984 09 6317·
1984 08 028·
1984 07 2931·
1984 06 2412·
1984 05 7015·
1984 04 415.
1984 03 411·
1984 02 394.
1984 01 986.
1983 12 7412.
1983 11 1017·
1983 10 2218.
1983 09 4820·
1983 08 3024·
1983 07 1121·
1983 06 6515·
1983 05 4613.
1983 04 657·
1983 03 949·
1983 02 884·
1983 01 427·
1982 12 6210·
1982 11 7210.
1982 10 3516.
1982 09 1114.
1982 08 2724·
1982 07 8228.
1982 06 7626.
1982 05 5424·
1982 04 9122·
1982 03 8910·
1982 02 33.
1982 01 965.
1981 12 1212·
1981 11 7913.
1981 10 3816·
1981 09 8818.
1981 08 7114·
1981 07 6618.
1981 06 2238·
1981 05 528.
1981 04 7418.
1981 03 8817.
1981 02 2710·
1981 01 4717·
1980 12 5311.
1980 11 78.
1980 10 4518·
1980 09 3925.
1980 08 6624.
1980 07 1124.
1980 06 9715.
1980 05 3314·
1980 04 9211.
1980 03 139.
1980 02 259·
1980 01 39·
1979 12 4012.
1979 11 5116.
1979 10 09.
1979 09 5013.
1979 08 4117·
1979 07 8917.
1979 06 1618.
1979 05 018·
1979 04 5117.
1979 03 1310.
1979 02 916.
1979 01 211.
1978 12 5217·
1978 11 3713.
1978 10 7026.
1978 09 3211.
1978 08 5118.
1978 07 9820.
1978 06 2116.
1978 05 9117.
1978 04 7911·
1978 03 6014·
1978 02 4020.
1978 01 315·
1977 12 9318·
1977 11 1115.
1977 10 456·
1977 09 2010·
1977 08 7414.
1977 07 6322.
1977 06 8029.
1977 05 1615·
1977 04 3016.
1977 03 547.
1977 02 154·
1977 01 935·
1976 12 925·
1976 11 476.
1976 10 4311.
1976 09 7412.
1976 08 1722·
1976 07 3025.
1976 06 8416·
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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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