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2012 04 7420.5
2012 03 128.9
2012 02 78.9
2012 01 6110.7
2011 12 020.1
2011 11 548.9
2011 10 538.3
2011 09 597·7
2011 08 1218.2
2011 07 1310·6
2011 06 1913·5
2011 05 7414.0
2011 04 598·0
2011 03 7017·8
2011 02 1612.1
2011 01 5017·3
2010 12 1720.4
2010 11 3317.4
2010 10 8516·0
2010 09 5820.9
2010 08 8712·5
2010 07 3311.0
2010 06 8713.3
2010 05 9013.6
2010 04 9316·5
2010 03 2718.2
2010 02 1020.9
2010 01 6616.6
2009 12 8623·5
2009 11 9725·2
2009 10 6724.4
2009 09 3020.4
2009 08 4115.7
2009 07 4812·1
2009 06 9617.5
2009 05 5223.1
2009 04 6013·7
2009 03 1312.5
2009 02 6016.8
2009 01 2518.2
2008 12 6623·0
2008 11 4916·2
2008 10 4623·3
2008 09 6821.4
2008 08 1116.3
2008 07 3617·0
2008 06 6914.9
2008 05 2620.3
2008 04 7123.2
2008 03 8216·8
2008 02 6510·2
2008 01 689.9
2007 12 4415.5
2007 11 1915.7
2007 10 9715.9
2007 09 8810.5
2007 08 5711.6
2007 07 218.4
2007 06 549.9
2007 05 512.3
2007 04 612.9
2007 03 1419.1
2007 02 4828.4
2007 01 6416·8
2006 12 3018.9
2006 11 6121.7
2006 10 1713.1
2006 09 326·1
2006 08 657.9
2006 07 756.9
2006 06 2412·2
2006 05 57.5
2006 04 9115·0
2006 03 1210.8
2006 02 5712.5
2006 01 25·5
2005 12 593.7
2005 11 5422·5
2005 10 2922.2
2005 09 6716·2
2005 08 459.4
2005 07 99.5
2005 06 785.0
2005 05 6910·1
2005 04 4726.3
2005 03 614.4
2005 02 6616·5
2005 01 122·7
2004 12 9312.4
2004 11 49.5
2004 10 8223·0
2004 09 8419.6
2004 08 3215.1
2004 07 8316·8
2004 06 3814·6
2004 05 6114·3
2004 04 3910·9
2004 03 5115·0
2004 02 7215·1
2004 01 220.9
2003 12 1625·9
2003 11 389.2
2003 10 4723·9
2003 09 113.5
2003 08 8715·6
2003 07 212.6
2003 06 524.5
2003 05 7610·9
2003 04 318·9
2003 03 2514.6
2003 02 989·2
2003 01 7224.9
2002 12 3920·9
2002 11 1211.5
2002 10 2414·1
2002 09 585·5
2002 08 9617.7
2002 07 9616.1
2002 06 9317·8
2002 05 2911.7
2002 04 9920·7
2002 03 3210.6
2002 02 9239.5
2002 01 224·2
2001 12 9826·3
2001 11 417·7
2001 10 3519.0
2001 09 249.7
2001 08 698.4
2001 07 174.4
2001 06 6013.0
2001 05 6214·5
2001 04 128.6
2001 03 318·2
2001 02 286·6
2001 01 109.0
2000 12 5311.2
2000 11 192·9
2000 10 298.6
2000 09 8913.8
2000 08 426·1
2000 07 4711·5
2000 06 755·3
2000 05 419.9
2000 04 544·2
2000 03 929·7
2000 02 414·5
2000 01 374·6
1999 12 9020.5
1999 11 8710.6
1999 10 7817·6
1999 09 7010.0
1999 08 769.3
1999 07 8813.0
1999 06 8610·6
1999 05 6020·6
1999 04 6010·0
1999 03 7732.5
1999 02 4123.5
1999 01 5017.1
1998 12 2016.1
1998 11 6111.9
1998 10 817·1
1998 09 1015·7
1998 08 558.1
1998 07 7116.6
1998 06 6814·7
1998 05 343.5
1998 04 9019.9
1998 03 637·0
1998 02 9017·6
1998 01 4116.6
1997 12 7710·7
1997 11 2122·5
1997 10 6011·5
1997 09 7521.5
1997 08 908.5
1997 07 498·9
1997 06 169·9
1997 05 67·3
1997 04 3122.1
1997 03 8020.5
1997 02 2217·2
1997 01 2719.5
1996 12 239·7
1996 11 717.9
1996 10 6414.1
1996 09 5718.1
1996 08 187·5
1996 07 26·4
1996 06 569·5
1996 05 4110·0
1996 04 9124.3
1996 03 8118·5
1996 02 3515·5
1996 01 493.9
1995 12 437.7
1995 11 4010·0
1995 10 6514.4
1995 09 7310.8
1995 08 987·3
1995 07 349.4
1995 06 3416.1
1995 05 3322·5
1995 04 87.2
1995 03 4717.1
1995 02 5320·0
1995 01 7410.9
1994 12 4712.1
1994 11 8321.0
1994 10 6217.3
1994 09 6418·9
1994 08 1615·3
1994 07 7515.5
1994 06 2313.0
1994 05 9710·1
1994 04 4111·9
1994 03 8023·7
1994 02 2419.9
1994 01 9411·8
1993 12 7218·6
1993 11 7911.8
1993 10 789·6
1993 09 977.3
1993 08 833·9
1993 07 792.5
1993 06 239.1
1993 05 768.1
1993 04 765·4
1993 03 117·2
1993 02 2111·5
1993 01 2620·8
1992 12 7714.9
1992 11 3219·1
1992 10 6122.1
1992 09 6411·9
1992 08 3413.1
1992 07 2516·3
1992 06 558·4
1992 05 3611·2
1992 04 2512.3
1992 03 9412·4
1992 02 4113·5
1992 01 1112·0
1991 12 4821.9
1991 11 7215·4
1991 10 839·1
1991 09 833·4
1991 08 308.7
1991 07 176·5
1991 06 687·3
1991 05 706.4
1991 04 2110·7
1991 03 83.8
1991 02 93.6
1991 01 179.9
1990 12 9613.2
1990 11 533·1
1990 10 4310·9
1990 09 935·3
1990 08 563·7
1990 07 849.1
1990 06 355.0
1990 05 935.9
1990 04 264·9
1990 03 578·4
1990 02 716·1
1990 01 3515·5
1989 12 568.6
1989 11 543·8
1989 10 649·7
1989 09 644·5
1989 08 2310·2
1989 07 828.6
1989 06 544·4
1989 05 489·6
1989 04 2516.6
1989 03 722.7
1989 02 15.4
1989 01 8211·4
1988 12 897.2
1988 11 8010.6
1988 10 9510.2
1988 09 856.8
1988 08 666·2
1988 07 894.4
1988 06 476.8
1988 05 29.1
1988 04 2912.5
1988 03 511.3
1988 02 972.9
1988 01 06·8
1987 12 815.2
1987 11 596·8
1987 10 79·9
1987 09 7511.0
1987 08 465·6
1987 07 97.5
1987 06 644.9
1987 05 459·0
1987 04 7410·6
1987 03 367.0
1987 02 8211·5
1987 01 555·6
1986 12 4112·3
1986 11 4710·3
1986 10 9911·9
1986 09 743.9
1986 08 4812·4
1986 07 736.5
1986 06 776·0
1986 05 964·1
1986 04 2010.2
1986 03 7011·1
1986 02 59.1
1986 01 407·3
1985 12 621.1
1985 11 225.3
1985 10 948·2
1985 09 502·9
1985 08 846·8
1985 07 339.4
1985 06 848.4
1985 05 968·2
1985 04 525.9
1985 03 3610·0
1985 02 376.3
1985 01 715.6
1984 12 368.5
1984 11 8813.0
1984 10 418·4
1984 09 956.9
1984 08 886·2
1984 07 7010·0
1984 06 95·6
1984 05 1213·0
1984 04 8112.0
1984 03 898·7
1984 02 788·3
1984 01 9013.9
1983 12 1712·9
1983 11 768·9
1983 10 1215.3
1983 09 259·8
1983 08 216.9
1983 07 882.4
1983 06 986.1
1983 05 3515.1
1983 04 439.5
1983 03 615·4
1983 02 5013·0
1983 01 6412·9
1982 12 5918.1
1982 11 3815·1
1982 10 514.9
1982 09 8212·6
1982 08 6812·8
1982 07 1511.4
1982 06 2615·0
1982 05 828.2
1982 04 9810.9
1982 03 9414·3
1982 02 19·6
1982 01 8412·4
1981 12 9715·8
1981 11 569.7
1981 10 4318.0
1981 09 3213.9
1981 08 4114.7
1981 07 79.6
1981 06 906.9
1981 05 9512.0
1981 04 317.1
1981 03 818.1
1981 02 48·9
1981 01 6811.1
1980 12 9217.9
1980 11 329.9
1980 10 748·9
1980 09 685·4
1980 08 753.5
1980 07 437.2
1980 06 134·7
1980 05 426.9
1980 04 5413·8
1980 03 213.9
1980 02 5814.6
1980 01 5711·0
1979 12 3114·8
1979 11 9612·6
1979 10 729.1
1979 09 74.1
1979 08 304.8
1979 07 276·9
1979 06 444.4
1979 05 137.3
1979 04 215.5
1979 03 9315.1
1979 02 8510.4
1979 01 1715·3
1978 12 229.1
1978 11 312·0
1978 10 3512·5
1978 09 908·1
1978 08 913.7
1978 07 876·7
1978 06 553·6
1978 05 2514·5
1978 04 3519·4
1978 03 39·3
1978 02 344·2
1978 01 429.9
1977 12 34·1
1977 11 326·8
1977 10 8512·6
1977 09 8411·6
1977 08 709.8
1977 07 8011·6
1977 06 455·4
1977 05 2110·7
1977 04 3910.1
1977 03 797·6
1977 02 7713·2
1977 01 479.2
1976 12 326.6
1976 11 868.0
1976 10 706·6
1976 09 816·5
1976 08 22.0
1976 07 835.4
1976 06 366.0
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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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