Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
Go to end of data set
1981 01 311·6
1981 02 482·4
1981 03 633·3
1981 04 546.1
1981 05 233.4
1981 06 732.7
1981 07 122.9
1981 08 733.1
1981 09 751.1
1981 10 911·5
1981 11 552·2
1981 12 851·2
1982 02 382·0
1982 03 831·6
1982 04 51·8
1982 05 333·0
1982 06 862·4
1982 07 552·4
1982 08 21·6
1982 09 872·9
1982 10 213·0
1982 11 393.7
1982 12 63·1
1983 01 413.4
1983 02 671.8
1983 03 922.5
1983 04 71·4
1983 05 132·9
1983 06 752.8
1983 07 951·9
1983 08 171·1
1983 09 491·7
1983 10 211.9
1983 11 561.4
1983 12 731.1
1984 01 170.4
1984 02 40.4
1984 03 54.1
1984 04 404·1
1984 05 114.2
1984 06 517·6
1984 07 995·8
1984 08 44.4
1984 09 512·6
1984 10 122.5
1984 11 214·9
1984 12 800·3
1985 01 812·5
1985 02 611·0
1985 03 761.3
1985 04 32·8
1985 05 691·5
1985 06 02·9
1985 07 963.5
1985 08 396.4
1985 09 111.5
1985 10 532.8
1985 11 381.2
1985 12 731·8
1986 01 243.3
1986 02 720.4
1986 03 842·2
1986 04 200·8
1986 05 543·1
1986 06 312·7
1986 07 402.5
1986 08 171·8
1986 09 692·5
1986 10 311.1
1986 11 382.3
1986 12 273·4
1987 01 641·6
1987 02 981.6
1987 03 340·8
1987 04 371.3
1987 05 572.2
1987 06 810·4
1987 07 110.8
1987 08 621.8
1987 09 933.2
1987 10 571.7
1987 11 742.6
1987 12 381·4
1988 01 412·7
1988 02 252·0
1988 03 551·1
1988 04 292.4
1988 05 962·7
1988 06 100.8
1988 07 121·5
1988 08 230.4
1988 09 751.4
1988 10 651.3
1988 11 250·6
1988 12 312.1
1989 01 242.0
1989 02 623·2
1989 03 21.0
1989 04 933·3
1989 05 112·9
1989 06 42.5
1989 07 731·0
1989 08 712.1
1989 09 312·5
1989 10 161·8
1989 11 963·0
1989 12 532·1
1990 01 33.9
1990 02 472·7
1990 03 532·8
1990 04 532.6
1990 05 701·8
1990 06 731.7
1990 07 491.4
1990 08 62·5
1990 09 32·1
1990 10 952.2
1990 11 172·8
1990 12 783·2
1991 01 955.1
1991 02 382.5
1991 03 130·5
1991 04 550·7
1991 05 653·6
1991 06 534·9
1991 07 183.8
1991 08 512.7
1991 09 581.7
1991 10 142.9
1991 11 404.5
1991 12 34.0
1992 01 422.5
1992 02 232.6
1992 03 103·4
1992 04 743.7
1992 05 127·1
1992 06 45·4
1992 07 858.4
1992 08 536.2
1992 09 875·2
1992 10 86.1
1992 11 474.4
1992 12 515·6
1993 01 125·5
1993 02 105·3
1993 03 12·5
1993 04 83.4
1993 05 542·9
1993 06 123·9
1993 07 803.2
1993 08 852·7
1993 09 93.3
1993 10 370.7
1993 11 403·5
1993 12 712·3
1994 01 957.3
1994 02 374.9
1994 03 635.3
1994 04 794.3
1994 05 564.4
1994 06 874.1
1994 07 563.3
1994 08 464.8
1994 09 634.7
1994 10 874.6
1994 11 505·1
1994 12 353·5
1995 01 83.8
1995 02 635·2
1995 03 13.9
1995 04 353·0
1995 05 122·3
1995 06 654·6
1995 07 934.7
1995 08 585.0
1995 09 173·3
1995 10 683·6
1995 11 304·7
1995 12 421.9
1996 01 942·7
1996 02 743.2
1996 03 454·5
1996 04 503.5
1996 05 374·3
1996 06 61.2
1996 07 944·9
1996 08 703·0
1996 09 642·0
1996 10 173·9
1996 11 601.4
1996 12 154.5
1997 01 193·5
1997 02 804.0
1997 03 484·5
1997 04 224·0
1997 05 737·4
1997 06 972·7
1997 07 913.0
1997 08 553.7
1997 09 194·5
1997 10 922·6
1997 11 444·1
1997 12 10·2
1998 01 752·8
1998 02 173·2
1998 03 903·6
1998 04 731·5
1998 05 882·7
1998 06 471·5
1998 07 363.1
1998 08 103.1
1998 09 245·7
1998 10 812.3
1998 11 123·2
1998 12 742.2
1999 01 792.5
1999 02 461·2
1999 03 762·6
1999 04 531.4
1999 05 723·7
1999 06 925·1
1999 07 93·3
1999 08 593.6
1999 09 470·6
1999 10 943·5
1999 11 182.6
1999 12 311·8
2000 01 732·4
2000 02 521·9
2000 03 343.2
2000 04 321·4
2000 05 432·9
2000 06 934·0
2000 07 142.7
2000 08 501.3
2000 09 792·3
2000 10 661.3
2000 11 401.4
2000 12 971·9
2001 01 222.1
2001 02 462.5
2001 03 191.2
2001 04 110.2
2001 05 432.2
2001 06 351.9
2001 07 813·7
2001 08 564·0
2001 09 365.6
2001 10 573·1
2001 11 843.1
2001 12 182·0
2002 01 203·1
2002 02 632.1
2002 03 103·1
2002 04 122·5
2002 05 393.5
2002 06 293·0
2002 07 643·8
2002 08 744·3
2002 09 624·5
2002 10 542.4
2002 11 794.0
2002 12 684·3
2003 01 835.4
2003 02 643·3
2003 03 113·5
2003 04 821·2
2003 05 211·6
2003 06 102.8
2003 07 422.2
2003 08 283.4
2003 09 212·3
2003 10 663.6
2003 11 783.5
2003 12 452·3
2004 01 524.9
2004 02 342.7
2004 03 523·7
2004 04 953.6
2004 05 81.4
2004 06 383.5
2004 07 194·4
2004 08 672·6
2004 09 73·7
2004 10 303·5
2004 11 623·8
2004 12 723·1
2005 01 953·8
2005 02 842.7
2005 03 873.2
2005 04 502·9
2005 05 403·0
2005 06 14.4
2005 07 263·0
2005 08 627.4
2005 09 365·0
2005 10 63.2
2005 11 353.5
2005 12 971·8
2006 01 31·1
2006 02 493.0
2006 03 964·0
2006 04 683·6
2006 05 851·6
2006 06 72·9
2006 07 153.6
2006 08 136.8
2006 09 505.2
2006 10 795.4
2006 11 254·9
2006 12 940·6
2007 01 942·1
2007 02 912·1
2007 03 822·7
2007 04 993.0
2007 05 342·2
2007 06 924·9
2007 07 675.2
2007 08 413.3
2007 09 163.4
2007 10 603.0
2007 11 872·9
2007 12 592.6
2008 01 84·9
2008 02 936.5
2008 03 754·2
2008 04 146·5
2008 05 52.7
2008 06 185.0
2008 07 854.3
2008 08 965.7
2008 09 253·3
2008 10 854·6
2008 11 12.6
2008 12 162.8
2009 01 135·9
2009 02 688·5
2009 03 295.8
2009 04 134.7
2009 05 387·9
2009 06 695·2
2009 07 05·2
2009 08 505·4
2009 09 944.3
2009 10 133·6
2009 11 715.8
2009 12 143·8
2010 01 06·0
2010 02 518.0
2010 03 245·3
2010 04 183.0
2010 05 14.0
2010 06 574.3
2010 07 654.5
2010 08 15.9
2010 09 656·6
2010 10 325.5
2010 11 266.0
2010 12 253.8
2011 01 874.8
2011 02 14·4
2011 03 635·4
2011 04 785.6
2011 05 866·9
2011 06 164.5
2011 07 597.6
2011 08 726·3
2011 09 56.1
2011 10 509·6
2011 11 199·2
2011 12 475.6
2012 01 157·7
2012 02 66.9
2012 03 775.8
2012 04 645·5
2012 05 96.4
2012 06 74.9
2012 07 875.4
2012 08 128·0
2012 09 65·6
2012 10 57.9
2012 11 325.7
2012 12 45·7
2013 01 515.3
2013 02 744.8
2013 03 196.7
2013 04 763.1
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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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