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2012 04 698·3
2012 03 958.4
2012 02 28·8
2012 01 658·8
2011 12 878·8
2011 11 728·8
2011 10 278.9
2011 09 869·3
2011 08 669·0
2011 07 429·0
2011 06 469·1
2011 05 999·1
2011 04 559·0
2011 03 858·8
2011 02 749.0
2011 01 488.9
2010 12 309.2
2010 11 89·7
2010 10 469.4
2010 09 49.2
2010 08 919.0
2010 07 449.0
2010 06 278.8
2010 05 599.2
2010 04 649.3
2010 03 499·2
2010 02 49.1
2010 01 339.0
2009 12 999·3
2009 11 49·2
2009 10 919.3
2009 09 719.0
2009 08 718.9
2009 07 168·8
2009 06 248·8
2009 05 408.5
2009 04 818·0
2009 03 168.1
2009 02 677.6
2009 01 367·1
2008 12 546·6
2008 11 626·1
2008 10 85·8
2008 09 785.3
2008 08 415·8
2008 07 355.1
2008 06 605.0
2008 05 95·0
2008 04 174·5
2008 03 424·6
2008 02 604·5
2008 01 994.5
2007 12 834·6
2007 11 144·4
2007 10 724.3
2007 09 424·4
2007 08 634·5
2007 07 84·5
2007 06 834·2
2007 05 574.0
2007 04 84.1
2007 03 54·0
2007 02 74·0
2007 01 884·2
2006 12 944.1
2006 11 134.3
2006 10 804.0
2006 09 54.4
2006 08 214·4
2006 07 624·5
2006 06 674·3
2006 05 14·2
2006 04 144·4
2006 03 104.3
2006 02 544.5
2006 01 964.6
2005 12 244·7
2005 11 384.9
2005 10 554·9
2005 09 344·8
2005 08 264·7
2005 07 534.9
2005 06 85.0
2005 05 835·0
2005 04 205.0
2005 03 865·0
2005 02 755.1
2005 01 395·0
2004 12 325.1
2004 11 945.0
2004 10 455.1
2004 09 205.1
2004 08 135·0
2004 07 595.3
2004 06 315.5
2004 05 705.4
2004 04 385·4
2004 03 875·8
2004 02 695·5
2004 01 595·6
2003 12 65.6
2003 11 105·6
2003 10 245.7
2003 09 815.6
2003 08 445.7
2003 07 845·6
2003 06 835·7
2003 05 545.6
2003 04 25·6
2003 03 925·5
2003 02 585.5
2003 01 235·4
2002 12 555·6
2002 11 405.5
2002 10 895.6
2002 09 575.3
2002 08 35.4
2002 07 595.6
2002 06 375.6
2002 05 515.8
2002 04 735·9
2002 03 75.5
2002 02 915.6
2002 01 235.5
2001 12 145.5
2001 11 645.2
2001 10 635·0
2001 09 174·9
2001 08 24.5
2001 07 384.2
2001 06 914.0
2001 05 34.0
2001 04 373·9
2001 03 593·8
2001 02 393·9
2001 01 753.9
2000 12 453·5
2000 11 863.6
2000 10 943·5
2000 09 513.7
2000 08 754·1
2000 07 993·8
2000 06 693.8
2000 05 773·8
2000 04 43·6
2000 03 53.7
2000 02 23.6
2000 01 213·9
1999 12 323·7
1999 11 353·7
1999 10 563·7
1999 09 773·8
1999 08 844.0
1999 07 474·2
1999 06 194·0
1999 05 653·8
1999 04 104.4
1999 03 214.2
1999 02 34.1
1999 01 283·9
1998 12 874·1
1998 11 664·2
1998 10 474.3
1998 09 364·2
1998 08 144.2
1998 07 114.2
1998 06 134·2
1998 05 834.2
1998 04 164.3
1998 03 144·4
1998 02 894·6
1998 01 884.5
1997 12 454·3
1997 11 574.2
1997 10 894·4
1997 09 954.6
1997 08 754·6
1997 07 464·6
1997 06 504·7
1997 05 744·8
1997 04 74·8
1997 03 134·9
1997 02 345·0
1997 01 184·9
1996 12 665.3
1996 11 145.2
1996 10 315.0
1996 09 464.7
1996 08 34.9
1996 07 315·3
1996 06 525·1
1996 05 35.3
1996 04 935.1
1996 03 715·0
1996 02 365·1
1996 01 595.4
1995 12 365.1
1995 11 655.1
1995 10 455.5
1995 09 65.2
1995 08 585·2
1995 07 705·3
1995 06 685.3
1995 05 645.1
1995 04 105·6
1995 03 675·2
1995 02 175·1
1995 01 785·2
1994 12 665.0
1994 11 645.5
1994 10 305.5
1994 09 165.8
1994 08 275.8
1994 07 925.7
1994 06 705.9
1994 05 735·9
1994 04 186.1
1994 03 86·5
1994 02 256.4
1994 01 676·4
1993 12 916·1
1993 11 926.0
1993 10 86.1
1993 09 436·1
1993 08 196.1
1993 07 526.3
1993 06 576.4
1993 05 716·4
1993 04 46.3
1993 03 206.0
1993 02 356.4
1993 01 436·6
1992 12 716.6
1992 11 526·7
1992 10 296·6
1992 09 806.8
1992 08 707·0
1992 07 307·1
1992 06 526.8
1992 05 256.5
1992 04 786.7
1992 03 606.7
1992 02 436·6
1992 01 486.2
1991 12 936.5
1991 11 746·3
1991 10 646.3
1991 09 426.0
1991 08 426.1
1991 07 285.9
1991 06 36.1
1991 05 286.1
1991 04 745·9
1991 03 55·9
1991 02 735·7
1991 01 485.7
1990 12 665·5
1990 11 115.5
1990 10 125·3
1990 09 725.3
1990 08 185.1
1990 07 785.0
1990 06 834·6
1990 05 954·9
1990 04 554.9
1990 03 614.8
1990 02 744·8
1990 01 354·7
1989 12 274.8
1989 11 444.8
1989 10 974.8
1989 09 374.7
1989 08 104·9
1989 07 325.1
1989 06 905·1
1989 05 694·9
1989 04 44·8
1989 03 574·9
1989 02 174·7
1989 01 264.8
1988 12 354.8
1988 11 764·9
1988 10 654·8
1988 09 275.0
1988 08 535.0
1988 07 715.1
1988 06 474.9
1988 05 175.1
1988 04 345.1
1988 03 475·1
1988 02 15·4
1988 01 635·3
1987 12 775·3
1987 11 375·4
1987 10 905·5
1987 09 615·4
1987 08 95.6
1987 07 985.6
1987 06 15.7
1987 05 305.6
1987 04 795·8
1987 03 106·0
1987 02 496.1
1987 01 136·2
1986 12 636·1
1986 11 816·3
1986 10 706.6
1986 09 806·6
1986 08 626·5
1986 07 436.3
1986 06 276·8
1986 05 256.9
1986 04 06.9
1986 03 517·0
1986 02 97.0
1986 01 676·5
1985 12 296·8
1985 11 886.9
1985 10 286·8
1985 09 507.0
1985 08 237·1
1985 07 607.1
1985 06 227·0
1985 05 447.1
1985 04 837.2
1985 03 997.0
1985 02 547.2
1985 01 427.1
1984 12 347.0
1984 11 617·0
1984 10 127·6
1984 09 647·0
1984 08 277·4
1984 07 287·4
1984 06 96·8
1984 05 537.3
1984 04 377·6
1984 03 77.5
1984 02 837·5
1984 01 807·8
1983 12 657.9
1983 11 307·9
1983 10 968.3
1983 09 388·7
1983 08 358·7
1983 07 538·8
1983 06 379.4
1983 05 459·3
1983 04 999·4
1983 03 579.8
1983 02 189·9
1983 01 4810.1
1982 12 3210.4
1982 11 4910·3
1982 10 779·8
1982 09 149·4
1982 08 339·1
1982 07 629·1
1982 06 779.0
1982 05 379.0
1982 04 309.0
1982 03 518·7
1982 02 78.3
1982 01 377·9
1981 12 708.3
1981 11 988.0
1981 10 787·7
1981 09 587·5
1981 08 327.0
1981 07 117.2
1981 06 297.0
1981 05 707.2
1981 04 147.0
1981 03 197·1
1981 02 237.3
1981 01 657.3
1980 12 417.2
1980 11 817·3
1980 10 487.2
1980 09 646.8
1980 08 667.2
1980 07 787.3
1980 06 157.0
1980 05 106·9
1980 04 626.5
1980 03 165.9
1980 02 656·0
1980 01 736·0
1979 12 305.8
1979 11 275·7
1979 10 585·8
1979 09 475.8
1979 08 966.1
1979 07 685.9
1979 06 846·0
1979 05 505.8
1979 04 106.0
1979 03 205·9
1979 02 556·2
1979 01 285·8
1978 12 475.9
1978 11 915·9
1978 10 95.6
1978 09 496.2
1978 08 86.2
1978 07 116.7
1978 06 86·4
1978 05 76.4
1978 04 186.2
1978 03 376·3
1978 02 426·4
1978 01 216.8
1977 12 286·8
1977 11 517·3
1977 10 217·2
1977 09 377·4
1977 08 127·4
1977 07 607.3
1977 06 867.4
1977 05 227.4
1977 04 727.6
1977 03 957·7
1977 02 987.6
1977 01 717.6
1976 12 338·0
1976 11 127.9
1976 10 458·0
1976 09 38.0
1976 08 457.9
1976 07 948.0
1976 06 407·8
1976 05 627·5
1976 04 837·8
1976 03 488·0
1976 02 218.1
1976 01 178.2
1975 12 488·2
1975 11 48·4
1975 10 528.6
1975 09 638.4
1975 08 668.2
1975 07 198·7
1975 06 198·8
1975 05 199·7
1975 04 869.2
1975 03 768.9
1975 02 368·6
1975 01 288·4
1974 12 847·4
1974 11 807·0
1974 10 405.9
1974 09 606.0
1974 08 605.4
1974 07 645·5
1974 06 955·4
1974 05 95·4
1974 04 415.1
1974 03 835·1
1974 02 895·2
1974 01 945·2
1973 12 755·1
1973 11 205.0
1973 10 334·6
1973 09 605.1
1973 08 405.1
1973 07 825.0
1973 06 675·1
1973 05 754.8
1973 04 345·0
1973 03 995·0
1973 02 535·1
1973 01 345·2
1972 12 844·8
1972 11 295.1
1972 10 795·7
1972 09 555·6
1972 08 395.9
1972 07 536.1
1972 06 585.8
1972 05 836·2
1972 04 765·6
1972 03 785.7
1972 02 285.6
1972 01 885·8
1971 12 945·8
1971 11 356·0
1971 10 515·9
1971 09 626·1
1971 08 196·0
1971 07 815.8
1971 06 165·9
1971 05 266.2
1971 04 26·1
1971 03 986.1
1971 02 355·9
1971 01 235·9
1970 12 176·0
1970 11 936·0
1970 10 465.4
1970 09 225.2
1970 08 665.0
1970 07 965.0
1970 06 134.7
1970 05 195.2
1970 04 734·6
1970 03 654.5
1970 02 234·2
1970 01 313.9
1969 12 883.4
1969 11 823·6
1969 10 893.9
1969 09 33.9
1969 08 893.9
1969 07 523·7
1969 06 483·9
1969 05 53·6
1969 04 733.9
1969 03 83·7
1969 02 653·8
1969 01 293·8
1968 12 683.7
1968 11 63.7
1968 10 263·6
1968 09 963·5
1968 08 243·8
1968 07 283.8
1968 06 453·7
1968 05 503.5
1968 04 153.6
1968 03 813.8
1968 02 594·1
1968 01 594·2
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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
Input your search text below.
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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