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Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
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1976 06 4139·
1976 07 4950.
1976 08 3245.
1976 09 5729.
1976 10 1134.
1976 11 8722·
1976 12 7827.
1977 01 735·
1977 02 7816·
1977 03 5416·
1977 04 5530.
1977 05 8732·
1977 06 9437·
1977 07 3344·
1977 08 7732.
1977 09 4117·
1977 10 3316.
1977 11 3015·
1977 12 8315.
1978 01 3917.
1978 02 9514·
1978 03 7615·
1978 04 3415·
1978 05 7313·
1978 06 732.
1978 07 2937·
1978 08 1926.
1978 09 6425·
1978 10 1818.
1978 11 7018.
1978 12 5025.
1979 01 5622·
1979 02 423.
1979 03 513.
1979 04 6618·
1979 05 1819.
1979 06 6635·
1979 07 6726.
1979 08 2926·
1979 09 4320·
1979 10 2819·
1979 11 1114.
1979 12 2814·
1980 01 5216·
1980 02 4114·
1980 03 2019.
1980 04 7523·
1980 05 8830.
1980 06 8131·
1980 07 9927.
1980 08 827.
1980 09 2023·
1980 10 4822.
1980 11 8215.
1980 12 9016·
1981 01 4215·
1981 02 6712.
1981 03 2422.
1981 04 819.
1981 05 7429.
1981 06 8827·
1981 07 725.
1981 08 7731.
1981 09 6016·
1981 10 888·
1981 11 3815.
1981 12 3314.
1982 01 6922·
1982 02 6616.
1982 03 4813.
1982 04 3913·
1982 05 9418·
1982 06 4828·
1982 07 9420.
1982 08 8420·
1982 09 5618·
1982 10 8516·
1982 11 5819·
1982 12 8113.
1983 01 9815.
1983 02 5013.
1983 03 4615.
1983 04 6617·
1983 05 9021.
1983 06 4636.
1983 07 9034.
1983 08 423·
1983 09 2514·
1983 10 9718·
1983 11 4618.
1983 12 8119·
1984 01 2315·
1984 02 5511·
1984 03 9713·
1984 04 1211·
1984 05 2813.
1984 06 9312.
1984 07 4814.
1984 08 3315.
1984 09 98.
1984 10 138·
1984 11 3213·
1984 12 811.
1985 01 6012.
1985 02 3910·
1985 03 513.
1985 04 2419.
1985 05 019·
1985 06 2317.
1985 07 4818.
1985 08 9516·
1985 09 749·
1985 10 403·
1985 11 695.
1985 12 587.
1986 01 508.
1986 02 9014.
1986 03 9917.
1986 04 7612.
1986 05 2313.
1986 06 9911.
1986 07 9520·
1986 08 3717.
1986 09 128.
1986 10 1610.
1986 11 388.
1986 12 5512·
1987 01 615.
1987 02 184.
1987 03 3514.
1987 04 6617.
1987 05 3821·
1987 06 419.
1987 07 1814.
1987 08 3418·
1987 09 4012·
1987 10 111.
1987 11 426.
1987 12 473·
1988 01 8312·
1988 02 585·
1988 03 919·
1988 04 1715·
1988 05 1319.
1988 06 519·
1988 07 7019.
1988 08 8314·
1988 09 995·
1988 10 805.
1988 11 115.
1988 12 72.
1989 01 358·
1989 02 714·
1989 03 718·
1989 04 775.
1989 05 407·
1989 06 7411·
1989 07 319·
1989 08 610·
1989 09 577.
1989 10 642·
1989 11 994·
1989 12 328.
1990 01 586.
1990 02 428.
1990 03 55.
1990 04 195.
1990 05 349.
1990 06 3312.
1990 07 710.
1990 08 5313·
1990 09 67·
1990 10 886.
1990 11 857·
1990 12 474.
1991 01 186.
1991 02 826·
1991 03 4710.
1991 04 418.
1991 05 387·
1991 06 1611.
1991 07 259·
1991 08 955·
1991 09 623·
1991 10 144.
1991 11 745.
1991 12 992.
1992 01 73.
1992 02 271·
1992 03 776·
1992 04 665.
1992 05 194.
1992 06 317.
1992 07 4010.
1992 08 3211·
1992 09 663·
1992 10 256.
1992 11 958·
1992 12 616.
1993 01 4311.
1993 02 365·
1993 03 9818.
1993 04 428·
1993 05 688·
1993 06 1414·
1993 07 3115.
1993 08 8613·
1993 09 861·
1993 10 344·
1993 12 22.
1994 01 321.
1994 02 666.
1994 03 976·
1994 04 405·
1994 05 427.
1994 06 38.
1994 07 2712.
1994 08 47.
1994 09 57.
1994 10 144·
1994 11 767.
1994 12 743·
1995 01 333.
1995 02 455·
1995 03 187·
1995 04 588.
1995 05 657·
1995 06 645.
1995 07 540.
1995 08 862·
1995 09 633·
1995 10 665·
1995 11 105.
1995 12 162·
1996 01 149.
1996 02 703·
1996 03 368.
1996 04 307.
1996 05 336.
1996 06 1912·
1996 07 711·
1996 08 3311.
1996 09 5611.
1996 10 847.
1996 11 244.
1996 12 582·
1997 01 471·
1997 02 581·
1997 03 1110·
1997 04 618·
1997 05 944·
1997 06 607.
1997 07 209.
1997 08 2311·
1997 09 91·
1997 10 352.
1997 11 260.
1997 12 520·
1998 01 314·
1998 02 523·
1998 03 2911·
1998 04 801·
1998 05 225.
1998 06 413·
1998 07 554·
1998 08 6211·
1998 09 7012·
1998 10 116.
1998 11 534·
1998 12 804·
1999 02 883·
1999 03 173·
1999 04 04.
1999 05 418.
1999 06 147.
1999 07 9112·
1999 08 9614·
1999 09 774.
1999 10 114·
1999 11 285.
1999 12 663·
2000 01 446·
2000 02 662·
2000 03 466.
2000 04 605.
2000 07 242·
2000 08 933·
2000 09 9010.
2000 10 558.
2000 11 244·
2000 12 304·
2001 03 283.
2001 04 503.
2001 07 750·
2001 08 394·
2001 10 562.
2001 11 700·
2001 12 340.
2002 01 91·
2002 04 911.
2002 05 672.
2002 06 822.
2002 07 513.
2002 08 797·
2002 09 156.
2002 10 269.
2002 11 55·
2002 12 884·
2003 03 140·
2003 04 982·
2003 05 324·
2003 06 129.
2003 07 926·
2003 08 551·
2003 09 224.
2003 10 713·
2003 11 961·
2003 12 783.
2004 02 862.
2004 03 96.
2004 04 46·
2004 05 734·
2004 06 620.
2004 07 954·
2004 08 164·
2004 09 722·
2004 10 152.
2004 11 224·
2004 12 561.
2005 01 334·
2005 02 306.
2005 03 112·
2005 04 755.
2005 05 366.
2005 06 224·
2005 07 56.
2005 08 492·
2005 09 885·
2005 10 294·
2005 11 740·
2006 01 782·
2006 03 220·
2006 04 122·
2006 05 110·
2006 06 882·
2006 07 933.
2006 08 607·
2006 11 360·
2006 12 283.
2007 03 832.
2007 04 860·
2007 05 934.
2007 06 754.
2007 07 981·
2007 08 281·
2007 09 510·
2007 10 281·
2007 12 723·
2008 01 493·
2008 02 45.
2008 03 133.
2008 04 596·
2008 05 366·
2008 06 719·
2008 07 8010.
2008 08 421.
2008 09 20·
2008 10 961·
2008 11 50·
2008 12 284.
2009 01 866·
2009 03 503·
2009 04 885·
2009 05 474.
2009 06 5013·
2009 07 257.
2009 08 557·
2009 09 578·
2009 10 825·
2009 11 405.
2009 12 555·
2010 01 400·
2010 02 952·
2010 03 413·
2010 04 657·
2010 05 17·
2010 06 2710·
2010 07 966.
2010 08 852·
2010 09 735.
2010 10 419.
2010 11 994.
2010 12 403.
2011 01 124.
2011 02 244.
2011 03 703.
2011 04 806·
2011 05 010.
2011 06 907.
2011 07 522·
2011 08 812·
2011 09 442.
2011 10 762·
2011 11 153·
2011 12 430.
2012 01 743.
2012 02 460.
2012 03 520.
2012 04 920.
2012 05 490.
2012 06 871.
2012 07 841.
2012 08 791.
2012 09 491·
2012 10 121.
2012 11 540·
2012 12 773.
2013 01 806.
2013 02 595·
2013 03 312.
2013 04 881·
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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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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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