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2012 04 8717.
2012 03 814·
2012 02 955.
2012 01 532.
2011 12 993·
2011 11 800·
2011 10 481.
2011 09 801·
2011 08 398·
2011 07 416.
2011 06 635.
2011 05 693·
2011 04 587.
2011 03 444·
2011 02 554.
2011 01 637.
2010 12 324.
2010 11 965.
2010 10 616·
2010 09 321·
2010 08 614.
2010 07 3012.
2010 06 4513.
2010 05 694·
2010 04 718.
2010 03 00·
2010 02 930.
2010 01 940·
2009 12 114·
2009 11 903·
2009 10 192·
2009 09 514.
2009 08 575.
2009 07 66.
2009 06 6111·
2009 05 89·
2009 02 104.
2008 12 796.
2008 11 813.
2008 10 613.
2008 09 953·
2008 08 675·
2008 07 683·
2008 06 293·
2008 05 6312·
2008 04 5014·
2008 03 355·
2008 02 545·
2008 01 883.
2007 12 351·
2007 11 192·
2007 10 72·
2007 09 710.
2007 08 558·
2007 07 8317·
2007 06 8215·
2007 05 380.
2007 04 659.
2007 03 156·
2007 02 986.
2007 01 3811.
2006 12 472.
2006 11 283.
2006 09 993·
2006 08 485.
2006 07 911.
2006 06 609·
2006 04 541.
2006 02 686.
2006 01 813.
2005 12 733.
2005 11 575·
2005 10 233·
2005 08 201·
2005 06 575.
2005 05 272.
2005 04 638.
2005 03 86·
2005 02 236.
2005 01 106.
2004 12 642.
2004 10 512·
2004 07 96·
2004 06 7213·
2004 05 269·
2004 04 824·
2004 03 7910.
2004 02 109·
2004 01 756·
2003 12 567·
2003 11 204.
2003 10 424.
2003 09 617·
2003 08 568.
2003 07 454.
2003 06 114.
2003 05 604·
2003 04 884·
2003 03 924·
2003 02 886.
2003 01 714.
2002 12 846.
2002 11 249.
2002 10 676·
2002 09 212·
2002 08 04·
2002 07 286·
2002 06 661.
2002 05 592.
2002 04 185.
2002 03 193.
2002 02 291.
2001 12 613·
2001 11 443.
2001 10 331.
2001 09 273·
2001 08 275.
2001 07 119·
2001 06 3317.
2001 04 526·
2001 03 8413.
2001 02 759.
2001 01 811·
2000 12 257.
2000 11 8012.
2000 10 1710.
2000 09 7011·
2000 08 8913.
2000 07 926·
2000 06 4510·
2000 04 575·
2000 02 135·
2000 01 204·
1999 12 894.
1999 11 325·
1999 10 917.
1999 09 899·
1999 08 78.
1999 07 8312·
1999 06 444·
1999 05 500.
1999 04 803·
1999 03 235·
1999 02 144·
1999 01 799·
1998 11 144.
1998 10 904·
1998 09 712·
1998 08 744·
1998 07 4214.
1998 06 467.
1998 05 96.
1998 04 6310.
1998 03 2010·
1998 02 795.
1998 01 471.
1997 12 952·
1997 11 305·
1997 10 37.
1997 09 301.
1997 08 4518.
1997 07 7819.
1997 06 5510.
1997 05 269·
1997 04 159.
1997 03 9610·
1997 02 999.
1997 01 301.
1996 12 294.
1996 11 415.
1996 10 214·
1996 09 613.
1996 08 384.
1996 07 946.
1996 06 3516.
1996 05 6214.
1996 04 1717.
1996 03 614·
1996 02 8013·
1996 01 45·
1995 12 673.
1995 11 754.
1995 10 165.
1995 09 8012.
1995 08 137.
1995 07 934·
1995 06 347.
1995 05 96·
1995 04 54.
1995 03 954.
1995 02 454·
1995 01 365·
1994 12 196.
1994 11 896·
1994 10 874.
1994 09 296·
1994 08 5516·
1994 07 512.
1994 06 248·
1994 05 832·
1994 04 399·
1994 03 25·
1994 02 420.
1994 01 182·
1993 12 214.
1993 11 5913·
1993 10 565.
1993 09 7611·
1993 08 7620.
1993 07 8523.
1993 06 311·
1993 05 279.
1993 04 513.
1993 03 109.
1993 02 4525·
1993 01 6616.
1992 12 338·
1992 11 927·
1992 10 722·
1992 09 115.
1992 08 1113.
1992 07 126·
1992 06 959.
1992 05 611.
1992 04 1310.
1992 03 769.
1992 02 523·
1992 01 229·
1991 11 414.
1991 10 164.
1991 09 76·
1991 08 519.
1991 07 205·
1991 06 895·
1991 05 475·
1991 04 144·
1991 03 996.
1991 02 774·
1991 01 857·
1990 12 535·
1990 11 567.
1990 10 867.
1990 09 5912.
1990 08 3912.
1990 07 8921.
1990 06 479·
1990 05 3310·
1990 04 6611·
1990 03 248·
1990 02 187·
1990 01 932.
1989 12 522·
1989 11 123.
1989 10 804.
1989 09 527·
1989 08 4115.
1989 07 287.
1989 06 407·
1989 05 5010.
1989 04 414.
1989 03 735.
1989 02 2913·
1989 01 487.
1988 12 336·
1988 11 719·
1988 10 47·
1988 09 3413.
1988 08 4924·
1988 07 743·
1988 06 4730·
1988 05 221·
1988 04 957·
1988 03 561·
1988 02 645·
1988 01 4911·
1987 12 413.
1987 11 185·
1987 10 8610·
1987 09 7812.
1987 08 8021.
1987 07 8613.
1987 06 729·
1987 05 973.
1987 04 326.
1987 03 106·
1987 02 15.
1987 01 193.
1986 12 416·
1986 11 6410.
1986 10 819·
1986 09 816·
1986 08 7526.
1986 07 5021.
1986 06 447·
1986 05 471.
1986 04 308·
1986 03 943.
1986 02 461.
1986 01 57·
1985 12 244·
1985 11 4411·
1985 10 684·
1985 09 672·
1985 08 214.
1985 07 7715·
1985 06 1812·
1985 05 729.
1985 04 3214·
1985 03 9420·
1985 02 2724·
1985 01 8115.
1984 12 918.
1984 11 1918.
1984 10 5216·
1984 09 8418.
1984 08 5221·
1984 07 230·
1984 06 7431.
1984 05 9326·
1984 04 420.
1984 03 2123·
1984 02 022·
1984 01 4620.
1983 12 3625.
1983 11 7428.
1983 10 6121·
1983 09 517·
1983 08 4125.
1983 07 8621·
1983 06 1525·
1983 05 5921·
1983 04 398·
1983 03 1022.
1983 02 4223.
1983 01 2118.
1982 12 7316·
1982 11 1911.
1982 10 5018.
1982 09 2810.
1982 08 1326·
1982 07 1532.
1982 06 7029.
1982 05 4323·
1982 04 5225.
1982 03 2219.
1982 02 5918.
1982 01 557·
1981 12 119.
1981 11 9110.
1981 10 9814.
1981 09 7613·
1981 08 3314·
1981 07 9818.
1981 06 9522·
1981 05 4314·
1981 04 8719.
1981 03 4222·
1981 02 8017.
1981 01 2133·
1980 12 6728·
1980 11 5020·
1980 10 1030.
1980 09 9630.
1980 08 9331.
1980 07 7135.
1980 06 6832·
1980 05 8226.
1980 04 815.
1980 03 8212.
1980 02 5912·
1980 01 1718.
1979 12 8313.
1979 11 8114.
1979 10 1510.
1979 09 6319·
1979 08 1024·
1979 07 9642·
1979 06 9325.
1979 05 925.
1979 04 1024.
1979 03 7616·
1979 02 7520·
1979 01 6617.
1978 12 2514.
1978 11 9610·
1978 10 6710·
1978 09 7410.
1978 08 2632·
1978 07 5730.
1978 06 126·
1978 05 9524·
1978 04 718·
1978 03 8426·
1978 02 3322·
1978 01 1720·
1977 12 8615.
1977 11 2913.
1977 10 4516·
1977 09 5211.
1977 08 825.
1977 07 6534.
1977 06 4431.
1977 05 4025·
1977 04 4230·
1977 03 9424·
1977 02 6217.
1977 01 4110·
1976 12 8214·
1976 11 418·
1976 10 5418·
1976 09 4617.
1976 08 4833.
1976 07 5629·
1976 06 330.
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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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