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2013 03 4418·1
2013 02 1817.8
2013 01 2316·0
2012 12 9318·0
2012 11 8718·9
2012 10 6419·6
2012 09 8818.7
2012 08 4918.2
2012 07 2116·8
2012 06 3519.4
2012 05 7920·1
2012 04 2919·3
2012 03 9719.7
2012 02 1020·1
2012 01 820.8
2011 12 7620.8
2011 11 9021.1
2011 10 9720·4
2011 09 1521.9
2011 08 6122·2
2011 07 121.5
2011 06 2721·8
2011 05 6121·8
2011 04 7621·0
2011 03 5421·8
2011 02 5821·3
2011 01 3421·5
2010 12 4222·1
2010 11 121·2
2010 10 7021·1
2010 09 4820.2
2010 08 220·9
2010 07 1622.1
2010 06 7024·8
2010 05 4022.4
2010 04 2522·2
2010 03 020.5
2010 02 9020.0
2010 01 7320.0
2009 12 720·2
2009 11 7919.8
2009 10 8718.8
2009 09 3517.8
2009 08 6516·2
2009 07 315·9
2009 06 4217.1
2009 05 4014·3
2009 04 4413·1
2009 03 4712·3
2009 02 6211.7
2009 01 2410·7
2008 12 1310·5
2008 11 129.8
2008 10 7910·4
2008 09 5010·2
2008 08 669·7
2008 07 229.7
2008 06 499·0
2008 05 77·9
2008 04 239·4
2008 03 308.7
2008 02 538·7
2008 01 89·0
2007 12 278.4
2007 11 88.6
2007 10 998.4
2007 09 908·7
2007 08 478.8
2007 07 608·7
2007 06 187·7
2007 05 178·2
2007 04 798.6
2007 03 89.1
2007 02 678·5
2007 01 758.3
2006 12 407.5
2006 11 58·3
2006 10 277·9
2006 09 798·0
2006 08 768.4
2006 07 258.0
2006 06 57·3
2006 05 668·5
2006 04 548·4
2006 03 698.7
2006 02 339·1
2006 01 988.6
2005 12 708·7
2005 11 628.5
2005 10 678·6
2005 09 648.4
2005 08 439·2
2005 07 548·8
2005 06 899.0
2005 05 779.1
2005 04 169·0
2005 03 229.3
2005 02 59.2
2005 01 749·4
2004 12 599.5
2004 11 649·7
2004 10 489.5
2004 09 199·6
2004 08 659.2
2004 07 88·9
2004 06 7311·0
2004 05 989·9
2004 04 559·5
2004 03 210·2
2004 02 6310·2
2004 01 2710·6
2003 12 7210.4
2003 11 2310·3
2003 10 2510·4
2003 09 4110.2
2003 08 8510·1
2003 07 7110.3
2003 06 8811.5
2003 05 49.9
2003 04 8910·2
2003 03 729·7
2003 02 129·5
2003 01 49·6
2002 12 29.6
2002 11 759.3
2002 10 769.6
2002 09 539.5
2002 08 699·0
2002 07 558.9
2002 06 8811·0
2002 05 919·5
2002 04 598.9
2002 03 158·4
2002 02 808·3
2002 01 798.4
2001 12 668.2
2001 11 787.7
2001 10 77.3
2001 09 57.2
2001 08 96.9
2001 07 966.8
2001 06 526·0
2001 05 826.3
2001 04 335·9
2001 03 436.6
2001 02 216.1
2001 01 495·8
2000 12 66.0
2000 11 206.1
2000 10 466.1
2000 09 685·2
2000 08 226.3
2000 07 526·0
2000 06 845·7
2000 05 275·8
2000 04 16·1
2000 03 916·0
2000 02 166·1
2000 01 385·8
1999 12 875·8
1999 11 106.2
1999 10 486·1
1999 09 416.0
1999 08 506·5
1999 07 115·8
1999 06 136.3
1999 05 976.5
1999 04 826.2
1999 03 196·8
1999 02 676·8
1999 01 946.9
1998 12 36.8
1998 11 846.6
1998 10 925·8
1998 09 466.7
1998 08 586·8
1998 07 836.7
1998 06 956.9
1998 05 916.0
1998 04 166.7
1998 03 146·8
1998 02 67·0
1998 01 907·4
1997 12 707.5
1997 11 47·6
1997 10 837.7
1997 09 338·2
1997 08 407.8
1997 07 28·3
1997 06 78·0
1997 05 318.0
1997 04 708·3
1997 03 857·9
1997 02 858.1
1997 01 247·8
1996 12 297·8
1996 11 537·7
1996 10 498·3
1996 09 738·5
1996 08 128.4
1996 07 318·3
1996 06 558.3
1996 05 678.6
1996 04 368.6
1996 03 698·3
1996 02 857.8
1996 01 198.3
1995 12 488·3
1995 11 438·0
1995 10 458.2
1995 09 667.9
1995 08 158.3
1995 07 548.5
1995 06 677.9
1995 05 719.1
1995 04 328·3
1995 03 268·3
1995 02 98.1
1995 01 228.0
1994 12 188·7
1994 11 109·0
1994 10 5010.0
1994 09 339·2
1994 08 178.9
1994 07 819·0
1994 06 999·3
1994 05 409.2
1994 04 989·1
1994 03 419.3
1994 02 869.2
1994 01 88.6
1993 12 568·3
1993 11 138.3
1993 10 698·0
1993 09 238.3
1993 08 98·2
1993 07 498.2
1993 06 298.3
1993 05 998.1
1993 04 28.4
1993 03 258·5
1993 02 728.5
1993 01 748.6
1992 12 49·3
1992 11 399.0
1992 10 319.0
1992 09 98·6
1992 08 98·8
1992 07 188·6
1992 06 628·7
1992 05 958.8
1992 04 358.5
1992 03 138.3
1992 02 468.2
1992 01 428·1
1991 12 287.8
1991 11 987·5
1991 10 907.2
1991 09 906.8
1991 08 577·3
1991 07 747·0
1991 06 266·9
1991 05 16·4
1991 04 156·6
1991 03 666.7
1991 02 116.2
1991 01 626.0
1990 12 215.9
1990 11 255.7
1990 10 255.8
1990 09 885.6
1990 08 215.4
1990 07 275·4
1990 06 775.2
1990 05 155·2
1990 04 824·8
1990 03 705·1
1990 02 975.3
1990 01 65.1
1989 12 04·9
1989 11 824·8
1989 10 414.9
1989 09 514.9
1989 08 925·0
1989 07 125.6
1989 06 935·4
1989 05 605.3
1989 04 45·4
1989 03 355·4
1989 02 585·4
1989 01 735·6
1988 12 55·9
1988 11 535.7
1988 10 685.6
1988 09 525·7
1988 08 885·9
1988 07 906.1
1988 06 795.8
1988 05 855.9
1988 04 735·9
1988 03 976·4
1988 02 736·3
1988 01 846.2
1987 12 46·0
1987 11 496·2
1987 10 586·3
1987 09 896.0
1987 08 506.4
1987 07 476·5
1987 06 646·5
1987 05 626.6
1987 04 57·1
1987 03 166.6
1987 02 486·6
1987 01 896.9
1986 12 897·1
1986 11 67·1
1986 10 927.0
1986 09 867.4
1986 08 457.1
1986 07 936·9
1986 06 27·0
1986 05 896.8
1986 04 426.7
1986 03 786.8
1986 02 116·9
1986 01 616·7
1985 12 766.8
1985 11 857.0
1985 10 747.1
1985 09 906.9
1985 08 647·1
1985 07 646.9
1985 06 746·6
1985 05 896.9
1985 04 516.9
1985 03 937·1
1985 02 167·1
1985 01 976.8
1984 12 77·3
1984 11 707.2
1984 10 337·2
1984 09 757.6
1984 08 257.3
1984 07 217·5
1984 06 827.5
1984 05 129.1
1984 04 248.2
1984 03 978.3
1984 02 438.3
1984 01 209·1
1983 12 498.7
1983 11 729.3
1983 10 249·4
1983 09 389·3
1983 08 699.3
1983 07 4810.1
1983 06 5611·3
1983 05 2812·3
1983 04 7810.9
1983 03 5010·4
1983 02 969·8
1983 01 7911·1
1982 12 9510.2
1982 11 2810.0
1982 10 269·7
1982 09 39.5
1982 08 638·7
1982 07 578.5
1982 06 519·5
1982 05 388.5
1982 04 548·1
1982 03 387.7
1982 02 57.5
1982 01 467.1
1981 12 596·9
1981 11 966.9
1981 10 436.8
1981 09 176·8
1981 08 07·2
1981 07 827.1
1981 06 466.6
1981 05 626·9
1981 04 197·4
1981 03 727.1
1981 02 237·1
1981 01 207·4
1980 12 867.5
1980 11 647.7
1980 10 47·5
1980 09 547·7
1980 08 947·5
1980 07 867·0
1980 06 456.4
1980 05 515.7
1980 04 655.8
1980 03 866·0
1980 02 305.8
1980 01 245.3
1979 12 405·7
1979 11 425.3
1979 10 645·5
1979 09 125.5
1979 08 904.8
1979 07 525·9
1979 06 785·6
1979 05 765.6
1979 04 85.4
1979 03 435·9
1979 02 305.9
1979 01 65.9
1978 12 145.6
1978 11 645.5
1978 10 15.9
1978 09 135·6
1978 08 525·8
1978 07 925·8
1978 06 986·0
1978 05 365·7
1978 04 916.1
1978 03 266·2
1978 02 536.7
1978 01 386·5
1977 12 266.8
1977 11 927.0
1977 10 226.9
1977 09 66.7
1977 08 747·0
1977 07 417.1
1977 06 866·2
1977 05 547.9
1977 04 817·3
1977 03 477.2
1977 02 537·2
1977 01 197·5
1976 12 158·0
1976 11 128·4
1976 10 537·7
1976 09 647·8
1976 08 717·9
1976 07 607.7
1976 06 457.8
1976 05 778.3
1976 04 688.2
1976 03 428.7
1976 02 88·2
1976 01 729.0
1975 12 519·0
1975 11 339.5
1975 10 518·6
1975 09 859.2
1975 08 879·2
1975 07 348.6
1975 06 48.8
1975 05 809·4
1975 04 718·7
1975 03 707·2
1975 02 257.1
1975 01 446·3
1974 12 235·7
1974 11 915.2
1974 10 945.5
1974 09 925·3
1974 08 865.0
1974 07 735.7
1974 06 195.3
1974 05 594·6
1974 04 305.0
1974 03 174.8
1974 02 315.1
1974 01 105.0
1973 12 494.7
1973 11 475.1
1973 10 865.5
1973 09 325.4
1973 08 624.9
1973 07 155.2
1973 06 675·0
1973 05 394.9
1973 04 135·0
1973 03 945.5
1973 02 815·2
1973 01 675·7
1972 12 716·1
1972 11 875·7
1972 10 575.7
1972 09 805.6
1972 08 316·0
1972 07 186.1
1972 06 555·4
1972 05 666.6
1972 04 116.7
1972 03 376·6
1972 02 546·6
1972 01 386·2
1971 12 566·2
1971 11 206.4
1971 10 626.5
1971 09 335·8
1971 08 356·4
1971 07 686.2
1971 06 105·7
1971 05 146·7
1971 04 416·5
1971 03 66·4
1971 02 556.3
1971 01 706.2
1970 12 955.9
1970 11 835.6
1970 10 785·2
1970 09 145.2
1970 08 405.4
1970 07 775·1
1970 06 874·9
1970 05 824.7
1970 04 464.1
1970 03 864·6
1970 02 134·5
1970 01 384·6
1969 12 54·6
1969 11 364.8
1969 10 124.5
1969 09 714.7
1969 08 394.4
1969 07 794·4
1969 06 664·4
1969 05 924·2
1969 04 904.0
1969 03 884·0
1969 02 824·9
1969 01 404·4
1968 12 294.4
1968 11 654.4
1968 10 914·8
1968 09 774·6
1968 08 484·2
1968 07 354·5
1968 06 504.4
1968 05 924.4
1968 04 684·6
1968 03 484.1
1968 02 414.5
1968 01 975.1
1967 12 324·8
1967 11 804·7
1967 10 704·9
1967 09 314.6
1967 08 94·7
1967 07 304.5
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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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