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2012 04 7313·6
2012 03 3116·6
2012 02 3819·9
2012 01 3920·4
2011 12 529·2
2011 11 828.0
2011 10 2423·7
2011 09 5618.4
2011 08 9113.4
2011 07 708.9
2011 06 979·4
2011 05 5915·6
2011 04 8119.6
2011 03 117·3
2011 02 7318.8
2011 01 9321·2
2010 12 5026.7
2010 11 529.1
2010 10 8725.7
2010 09 2623.1
2010 08 010.9
2010 07 157·7
2010 06 37.2
2010 05 5214.9
2010 04 5514·2
2010 03 8817.7
2010 02 1023.1
2010 01 9223.3
2009 12 6622·1
2009 11 525·7
2009 10 1928.8
2009 09 8819.1
2009 08 814·9
2009 07 7310·1
2009 06 699·4
2009 05 1018·1
2009 04 8213·7
2009 03 2317.0
2009 02 2319·7
2009 01 5326.2
2008 12 1321.5
2008 11 1220·6
2008 10 6817·4
2008 09 3419·3
2008 08 517.5
2008 07 225.8
2008 06 186.4
2008 05 998·7
2008 04 7213.0
2008 03 6013.0
2008 02 1014.3
2008 01 1719.1
2007 12 7617·0
2007 11 5616·5
2007 10 720.9
2007 09 8115.4
2007 08 8810·7
2007 07 685.1
2007 06 974·9
2007 05 1217.0
2007 04 5913·2
2007 03 7817·2
2007 02 9417·7
2007 01 5216.3
2006 12 659.7
2006 11 9116.8
2006 10 3420·6
2006 09 7117·5
2006 08 58·5
2006 07 404.0
2006 06 814.8
2006 05 6411·3
2006 04 68·9
2006 03 8110·8
2006 02 2218·9
2006 01 4917·0
2005 12 1713·8
2005 11 9616·6
2005 10 7114·9
2005 09 7012.2
2005 08 149·1
2005 07 914·7
2005 06 667.0
2005 05 987·2
2005 04 9713.7
2005 03 9917.4
2005 02 6918·8
2005 01 2521.9
2004 12 9115·9
2004 11 7518·2
2004 10 6823.2
2004 09 7112·3
2004 08 485·7
2004 07 25.6
2004 06 765·7
2004 05 8017·3
2004 04 4210.4
2004 03 8612·6
2004 02 3116.2
2004 01 2228·5
2003 12 7418.5
2003 11 5920·4
2003 10 9724.5
2003 09 8919.6
2003 08 698·4
2003 07 766·6
2003 06 597.1
2003 05 312.7
2003 04 7818.3
2003 03 2115.4
2003 02 3314·1
2003 01 620.3
2002 12 7625.1
2002 11 023.3
2002 10 5520.4
2002 09 6812·1
2002 08 638·3
2002 07 443.7
2002 06 895·1
2002 05 8313·7
2002 04 6512.0
2002 03 913.3
2002 02 2216·2
2002 01 7019.5
2001 12 3228.0
2001 11 7915.2
2001 10 6720.3
2001 09 7315.9
2001 08 408·6
2001 07 585.7
2001 06 625.2
2001 05 619·9
2001 04 8911·9
2001 03 799·6
2001 02 7110·5
2001 01 2917.4
2000 12 414·1
2000 11 9910.0
2000 10 8013·3
2000 09 969·3
2000 08 365.3
2000 07 995·9
2000 06 33·8
2000 05 68.9
2000 04 5910·9
2000 03 854·7
2000 02 787·4
2000 01 279.7
1999 12 767·0
1999 11 9013.1
1999 10 6721.5
1999 09 5516·9
1999 08 1013.0
1999 07 703.6
1999 06 595·3
1999 05 87·0
1999 04 139.9
1999 03 712.3
1999 02 6614·9
1999 01 3014.6
1998 12 5911.0
1998 11 714·0
1998 10 2613·6
1998 09 9110·2
1998 08 495.2
1998 07 29·1
1998 06 35·6
1998 05 848.0
1998 04 912·0
1998 03 498·5
1998 02 8311.8
1998 01 2910.4
1997 12 8814·9
1997 11 2812·9
1997 10 8117·2
1997 09 7018.3
1997 08 636.0
1997 07 485.7
1997 06 337.8
1997 05 7614·2
1997 04 3421·5
1997 03 3916.0
1997 02 318.3
1997 01 4219·1
1996 12 2513·8
1996 11 5815·4
1996 10 7913·8
1996 09 8515·1
1996 08 886·1
1996 07 884·5
1996 06 733·7
1996 05 518.2
1996 04 9810.5
1996 03 3313·6
1996 02 2419.1
1996 01 919.8
1995 12 5527.1
1995 11 2719.0
1995 10 9320·9
1995 09 5320·5
1995 08 857·4
1995 07 256·3
1995 06 707·2
1995 05 118.4
1995 04 3716·4
1995 03 1023·2
1995 02 6715·3
1995 01 9916·2
1994 12 8825.5
1994 11 8822.2
1994 10 2222.1
1994 09 1516.6
1994 08 389·1
1994 07 908·2
1994 06 984.9
1994 05 439.3
1994 04 1113.2
1994 03 7315·5
1994 02 8213.2
1994 01 219.3
1993 12 6012.6
1993 11 2010·5
1993 10 8810.5
1993 09 3811.9
1993 08 583·1
1993 07 363.4
1993 06 544·1
1993 05 179.6
1993 04 79·2
1993 03 5311·4
1993 02 4211·1
1993 01 3613·6
1992 12 3113.8
1992 11 2914·4
1992 10 4015.1
1992 09 1311·1
1992 08 814·8
1992 07 434·6
1992 06 623·1
1992 05 927.9
1992 04 338·1
1992 03 49·5
1992 02 4414.7
1992 01 4314·2
1991 12 8710.3
1991 11 4211.5
1991 10 5115.1
1991 09 589·1
1991 08 685·4
1991 07 152.3
1991 06 694.8
1991 05 599.8
1991 04 273.9
1991 03 47·5
1991 02 128.4
1991 01 8813·4
1990 12 398·6
1990 11 1612·1
1990 10 189·5
1990 09 157.5
1990 08 41.6
1990 07 820.9
1990 06 492.4
1990 05 347·4
1990 04 488·9
1990 03 598·2
1990 02 933·6
1990 01 647·4
1989 12 227.9
1989 11 2911.9
1989 10 6411·2
1989 09 507.7
1989 08 992.1
1989 07 971.3
1989 06 992·6
1989 05 605.3
1989 04 825·9
1989 03 975·5
1989 02 628·2
1989 01 889·9
1988 12 9611.2
1988 11 8411.9
1988 10 3916.9
1988 09 557·6
1988 08 900·8
1988 07 413·8
1988 06 443·4
1988 05 37·8
1988 04 4011·0
1988 03 738.8
1988 02 157.2
1988 01 29·1
1987 12 4716.5
1987 11 1311·3
1987 10 1413·1
1987 09 469.1
1987 08 365.5
1987 07 162·5
1987 06 303·1
1987 05 557.6
1987 04 578·0
1987 03 667·7
1987 02 757·5
1987 01 7211.7
1986 12 8610·9
1986 11 6812·1
1986 10 8812.3
1986 09 679·9
1986 08 234.7
1986 07 543·5
1986 06 313.4
1986 05 336·8
1986 04 947.7
1986 03 809·5
1986 02 9213·9
1986 01 9010·3
1985 12 4913·1
1985 11 2911.4
1985 10 8417·9
1985 09 829.3
1985 08 623.8
1985 07 73·1
1985 06 453.4
1985 05 797·2
1985 04 368·4
1985 03 458.8
1985 02 378.9
1985 01 7311·3
1984 12 959·8
1984 11 117·0
1984 10 5017·2
1984 09 8511·0
1984 08 894.6
1984 07 552.8
1984 06 944·3
1984 05 5910.2
1984 04 948.4
1984 03 1510.3
1984 02 1012·4
1984 01 6313.7
1983 12 1012·9
1983 11 1216·5
1983 10 5813·6
1983 09 929.9
1983 08 635·3
1983 07 37·3
1983 06 285.6
1983 05 6511·8
1983 04 38·8
1983 03 6911·1
1983 02 3213.8
1983 01 2618·1
1982 12 519·6
1982 11 1721·4
1982 10 821.1
1982 09 4514.6
1982 08 706.0
1982 07 803·7
1982 06 194·0
1982 05 149·9
1982 04 246.3
1982 03 1210.4
1982 02 5212.0
1982 01 5513.3
1981 12 1614·0
1981 11 9616.2
1981 10 2214·6
1981 09 1011·6
1981 08 226.7
1981 07 394.1
1981 06 644·8
1981 05 497·4
1981 04 4212·0
1981 03 7212.6
1981 02 4411.3
1981 01 6513.5
1980 12 314·3
1980 11 5311·7
1980 10 4714.5
1980 09 7910·8
1980 08 534.8
1980 07 613.1
1980 06 883.2
1980 05 358·7
1980 04 6911.8
1980 03 59.0
1980 02 411·2
1980 01 09·9
1979 12 5112·4
1979 11 1610.2
1979 10 5810.7
1979 09 706·2
1979 08 242·1
1979 07 502.2
1979 06 383.0
1979 05 648.1
1979 04 3911.1
1979 03 898.9
1979 02 579·4
1979 01 2511·8
1978 12 7113·1
1978 11 4011·6
1978 10 5313.4
1978 09 247.5
1978 08 203·6
1978 07 353.5
1978 06 885.4
1978 05 538.4
1978 04 139·0
1978 03 299.9
1978 02 5011.7
1978 01 3312.5
1977 12 9914·1
1977 11 516·1
1977 10 5315.4
1977 09 78.5
1977 08 536·8
1977 07 703.7
1977 06 345·5
1977 05 4510·8
1977 04 7710·2
1977 03 549·0
1977 02 568·1
1977 01 4017.4
1976 12 9515·5
1976 11 1515·2
1976 10 814.8
1976 09 1213.5
1976 08 574·3
1976 07 344.5
1976 06 15.5
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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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