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2013 04 9917·5
2013 03 7918.1
2013 02 417.8
2013 01 216.0
2012 12 2418·0
2012 11 2518.9
2012 10 6119·6
2012 09 1718.7
2012 08 6018·2
2012 07 1416.8
2012 06 6319.4
2012 05 7520.1
2012 04 5619.3
2012 03 2719.7
2012 02 2220·1
2012 01 1920·8
2011 12 8820.8
2011 11 7021.1
2011 10 7720.4
2011 09 1921.9
2011 08 5622·2
2011 07 7521.5
2011 06 9021·8
2011 05 6921.8
2011 04 8621.0
2011 03 9921·8
2011 02 4921.3
2011 01 8721.5
2010 12 2822·1
2010 11 2421·2
2010 10 6721.1
2010 09 1920·2
2010 08 5720.9
2010 07 5522.1
2010 06 8324.8
2010 05 3322.4
2010 04 7422·2
2010 03 2520.5
2010 02 5820·0
2010 01 2420.0
2009 12 520·2
2009 11 9119·8
2009 10 8118·8
2009 09 1017·8
2009 08 9916·2
2009 07 3415·9
2009 06 6517·1
2009 05 3614.3
2009 04 3213·1
2009 03 6012·3
2009 02 4711·7
2009 01 7010·7
2008 12 410.5
2008 11 19·8
2008 10 9110·4
2008 09 810·2
2008 08 419·7
2008 07 159.7
2008 06 849·0
2008 05 677.9
2008 04 949.4
2008 03 818.7
2008 02 398·7
2008 01 939·0
2007 12 368·4
2007 11 88.6
2007 10 958.4
2007 09 548.7
2007 08 708.8
2007 07 278.7
2007 06 137.7
2007 05 458.2
2007 04 208·6
2007 03 959.1
2007 02 838.5
2007 01 848·3
2006 12 377·5
2006 11 928·3
2006 10 167·9
2006 09 178.0
2006 08 968.4
2006 07 278.0
2006 06 517.3
2006 05 118·5
2006 04 988·4
2006 03 298.7
2006 02 509.1
2006 01 618·6
2005 12 678·7
2005 11 578·5
2005 10 28·6
2005 09 878·4
2005 08 559·2
2005 07 918·8
2005 06 209.0
2005 05 319.1
2005 04 369.0
2005 03 399.3
2005 02 409·2
2005 01 659.4
2004 12 129·5
2004 11 319.7
2004 10 279.5
2004 09 819.6
2004 08 79.2
2004 07 268·9
2004 06 6811·0
2004 05 999.9
2004 04 719.5
2004 03 310·2
2004 02 7510.2
2004 01 6210.6
2003 12 8110·4
2003 11 7010·3
2003 10 8810·4
2003 09 4110.2
2003 08 3710·1
2003 07 5910·3
2003 06 6811.5
2003 05 299·9
2003 04 6410.2
2003 03 269.7
2003 02 49·5
2003 01 459·6
2002 12 129·6
2002 11 539·3
2002 10 89·6
2002 09 349.5
2002 08 579.0
2002 07 468.9
2002 06 1911.0
2002 05 659·5
2002 04 998·9
2002 03 378·4
2002 02 998.3
2002 01 318·4
2001 12 648.2
2001 11 837·7
2001 10 367·3
2001 09 527.2
2001 08 16.9
2001 07 666·8
2001 06 436.0
2001 05 726·3
2001 04 875·9
2001 03 916·6
2001 02 586·1
2001 01 615·8
2000 12 226·0
2000 11 916.1
2000 10 446.1
2000 09 125.2
2000 08 316·3
2000 07 226·0
2000 06 885.7
2000 05 445.8
2000 04 656·1
2000 03 676·0
2000 02 56·1
2000 01 25.8
1999 12 985·8
1999 11 306·2
1999 10 306·1
1999 09 546·0
1999 08 326.5
1999 07 455.8
1999 06 296.3
1999 05 966·5
1999 04 916·2
1999 03 686.8
1999 02 876.8
1999 01 456·9
1998 12 276.8
1998 11 806·6
1998 10 195.8
1998 09 476.7
1998 08 146·8
1998 07 896.7
1998 06 616·9
1998 05 706.0
1998 04 536.7
1998 03 256·8
1998 02 787.0
1998 01 87·4
1997 12 697·5
1997 11 457.6
1997 10 567·7
1997 09 818.2
1997 08 137·8
1997 07 328·3
1997 06 98.0
1997 05 338·0
1997 04 608.3
1997 03 917·9
1997 02 758·1
1997 01 337.8
1996 12 117·8
1996 11 557.7
1996 10 178·3
1996 09 758·5
1996 08 908·4
1996 07 808.3
1996 06 218·3
1996 05 788·6
1996 04 488·6
1996 03 478.3
1996 02 27.8
1996 01 868.3
1995 12 618·3
1995 11 638.0
1995 10 988.2
1995 09 697·9
1995 08 308.3
1995 07 618.5
1995 06 707·9
1995 05 209·1
1995 04 788.3
1995 03 968·3
1995 02 78·1
1995 01 598·0
1994 12 578.7
1994 11 509·0
1994 10 2310·0
1994 09 309.2
1994 08 438·9
1994 07 309·0
1994 06 539.3
1994 05 19·2
1994 04 359·1
1994 03 679·3
1994 02 639·2
1994 01 688.6
1993 12 598.3
1993 11 188.3
1993 10 398·0
1993 09 508.3
1993 08 658·2
1993 07 658·2
1993 06 958.3
1993 05 898·1
1993 04 298·4
1993 03 158.5
1993 02 678·5
1993 01 578.6
1992 12 529·3
1992 11 999·0
1992 10 209·0
1992 09 468.6
1992 08 578.8
1992 07 738·6
1992 06 428.7
1992 05 758·8
1992 04 978·5
1992 03 198.3
1992 02 448·2
1992 01 908.1
1991 12 467.8
1991 11 457·5
1991 10 657·2
1991 09 596·8
1991 08 57.3
1991 07 817·0
1991 06 686·9
1991 05 766·4
1991 04 996.6
1991 03 846.7
1991 02 406.2
1991 01 616·0
1990 12 785·9
1990 11 365·7
1990 10 955.8
1990 09 575.6
1990 08 185.4
1990 07 445.4
1990 06 705·2
1990 05 345.2
1990 04 204·8
1990 03 385.1
1990 02 295·3
1990 01 865·1
1989 12 84·9
1989 11 774·8
1989 10 594·9
1989 09 314·9
1989 08 335.0
1989 07 415·6
1989 06 735.4
1989 05 155.3
1989 04 705.4
1989 03 375·4
1989 02 95.4
1989 01 65.6
1988 12 215.9
1988 11 965·7
1988 10 305·6
1988 09 995·7
1988 08 95·9
1988 07 766·1
1988 06 245.8
1988 05 125.9
1988 04 865.9
1988 03 586.4
1988 02 36.3
1988 01 906·2
1987 12 286.0
1987 11 496.2
1987 10 66·3
1987 09 16·0
1987 08 336.4
1987 07 806·5
1987 06 966·5
1987 05 406·6
1987 04 297·1
1987 03 86·6
1987 02 606·6
1987 01 276·9
1986 12 647·1
1986 11 147·1
1986 10 117.0
1986 09 57·4
1986 08 157·1
1986 07 66.9
1986 06 877.0
1986 05 436·8
1986 04 826.7
1986 03 146.8
1986 02 516·9
1986 01 366.7
1985 12 906·8
1985 11 967·0
1985 10 917.1
1985 09 26.9
1985 08 917.1
1985 07 336.9
1985 06 206.6
1985 05 866.9
1985 04 586·9
1985 03 317·1
1985 02 767·1
1985 01 576.8
1984 12 927.3
1984 11 247.2
1984 10 217·2
1984 09 107·6
1984 08 207.3
1984 07 667·5
1984 06 447·5
1984 05 629·1
1984 04 918.2
1984 03 398.3
1984 02 578.3
1984 01 599.1
1983 12 818.7
1983 11 529.3
1983 10 989.4
1983 09 699.3
1983 08 899·3
1983 07 3410·1
1983 06 3011·3
1983 05 8712·3
1983 04 4210·9
1983 03 4210.4
1983 02 429.8
1983 01 3211.1
1982 12 9010·2
1982 11 5910·0
1982 10 459.7
1982 09 489.5
1982 08 98.7
1982 07 918·5
1982 06 789.5
1982 05 38.5
1982 04 978.1
1982 03 697·7
1982 02 47·5
1982 01 937.1
1981 12 826.9
1981 11 516·9
1981 10 116.8
1981 09 376·8
1981 08 147.2
1981 07 177.1
1981 06 116·6
1981 05 776·9
1981 04 677·4
1981 03 747·1
1981 02 427·1
1981 01 857·4
1980 12 427·5
1980 11 557.7
1980 10 687·5
1980 09 537.7
1980 08 657·5
1980 07 167·0
1980 06 756.4
1980 05 15·7
1980 04 865.8
1980 03 376·0
1980 02 785.8
1980 01 735.3
1979 12 805·7
1979 11 275·3
1979 10 145.5
1979 09 395·5
1979 08 484·8
1979 07 175.9
1979 06 465·6
1979 05 915·6
1979 04 155·4
1979 03 625.9
1979 02 615·9
1979 01 505·9
1978 12 325.6
1978 11 465·5
1978 10 735·9
1978 09 605·6
1978 08 745.8
1978 07 745.8
1978 06 196.0
1978 05 905.7
1978 04 416·1
1978 03 796·2
1978 02 636·7
1978 01 336·5
1977 12 586·8
1977 11 167.0
1977 10 926.9
1977 09 106.7
1977 08 777.0
1977 07 687.1
1977 06 206·2
1977 05 637.9
1977 04 727.3
1977 03 417·2
1977 02 837.2
1977 01 637·5
1976 12 458.0
1976 11 668.4
1976 10 457.7
1976 09 47·8
1976 08 197·9
1976 07 17.7
1976 06 957·8
1976 05 48·3
1976 04 468·2
1976 03 278·7
1976 02 438·2
1976 01 89·0
1975 12 19.0
1975 11 519·5
1975 10 308·6
1975 09 849·2
1975 08 859.2
1975 07 48.6
1975 06 178·8
1975 05 289·4
1975 04 228·7
1975 03 437·2
1975 02 927·1
1975 01 586·3
1974 12 645.7
1974 11 505.2
1974 10 695·5
1974 09 185·3
1974 08 855.0
1974 07 315·7
1974 06 855.3
1974 05 784.6
1974 04 875·0
1974 03 184.8
1974 02 35·1
1974 01 315.0
1973 12 934.7
1973 11 675·1
1973 10 115.5
1973 09 975·4
1973 08 564.9
1973 07 605.2
1973 06 225·0
1973 05 194.9
1973 04 505·0
1973 03 55.5
1973 02 745·2
1973 01 685.7
1972 12 756·1
1972 11 325·7
1972 10 295.7
1972 09 375·6
1972 08 576.0
1972 07 976·1
1972 06 765.4
1972 05 456·6
1972 04 476.7
1972 03 846.6
1972 02 276·6
1972 01 376·2
1971 12 196·2
1971 11 986.4
1971 10 216·5
1971 09 815.8
1971 08 746.4
1971 07 716·2
1971 06 195.7
1971 05 726·7
1971 04 386.5
1971 03 606.4
1971 02 116·3
1971 01 296.2
1970 12 615·9
1970 11 465.6
1970 10 95·2
1970 09 965·2
1970 08 195·4
1970 07 355.1
1970 06 514.9
1970 05 424·7
1970 04 114.1
1970 03 614·6
1970 02 994.5
1970 01 614·6
1969 12 634.6
1969 11 794·8
1969 10 424.5
1969 09 724.7
1969 08 254.4
1969 07 704.4
1969 06 934.4
1969 05 214.2
1969 04 734.0
1969 03 424.0
1969 02 894.9
1969 01 744.4
1968 12 84.4
1968 11 264·4
1968 10 944.8
1968 09 284.6
1968 08 544·2
1968 07 794·5
1968 06 944.4
1968 05 14.4
1968 04 634·6
1968 03 834·1
1968 02 44·5
1968 01 365.1
1967 12 84·8
1967 11 434·7
1967 10 614·9
1967 09 44·6
1967 08 924·7
1967 07 924·5
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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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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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