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2012 04 69997·
2012 03 901042·
2012 02 91028.
2012 01 681054.
2011 12 31908·
2011 11 63985.
2011 10 34973.
2011 09 42974.
2011 08 65918.
2011 07 41903.
2011 06 66878·
2011 05 20948·
2011 04 22974·
2011 03 5980·
2011 02 171002.
2011 01 47987·
2010 12 781001·
2010 11 63973.
2010 10 27962.
2010 09 921020.
2010 08 32924·
2010 07 45890.
2010 06 57925·
2010 05 501007.
2010 04 111000.
2010 03 8978.
2010 02 96998·
2010 01 391003·
2009 12 64964·
2009 11 34946·
2009 10 57992·
2009 09 41012·
2009 08 67977.
2009 07 30886.
2009 06 77923·
2009 05 141001.
2009 04 20966·
2009 03 271031.
2009 02 20993.
2009 01 621020·
2008 12 49975.
2008 11 821013.
2008 10 73923.
2008 09 69957.
2008 08 4882·
2008 07 76837·
2008 06 49877.
2008 05 78925·
2008 04 611005.
2008 03 17980.
2008 02 86971.
2008 01 58897.
2007 12 19916·
2007 11 35940·
2007 10 48968·
2007 09 3969·
2007 08 5921·
2007 07 88866·
2007 06 21839.
2007 05 33905·
2007 04 68926·
2007 03 56917·
2007 02 18915·
2007 01 92964.
2006 12 85913.
2006 11 48888·
2006 10 79889·
2006 09 49937.
2006 08 55825·
2006 07 93724·
2006 06 64758.
2006 05 98841·
2006 04 4870·
2006 03 50824.
2006 02 64866.
2006 01 58949.
2005 12 82867.
2005 11 99824.
2005 10 89915.
2005 09 73891·
2005 08 64788.
2005 07 48726.
2005 06 79730.
2005 05 13814·
2005 04 52831.
2005 03 27793.
2005 02 96854·
2005 01 71858·
2004 12 70840.
2004 11 94804·
2004 10 28824·
2004 09 67836.
2004 08 69754·
2004 07 30722·
2004 06 88782·
2004 05 45893.
2004 04 24932·
2004 03 42852·
2004 02 13923·
2004 01 74879.
2003 12 35874.
2003 11 61873.
2003 10 67804·
2003 09 48812·
2003 08 29801·
2003 07 45697.
2003 06 38754.
2003 05 86823·
2003 04 55859·
2003 03 74820.
2003 02 38792·
2003 01 33821·
2002 12 89808·
2002 11 56781.
2002 10 5774·
2002 09 57770.
2002 08 30728.
2002 07 21682.
2002 06 3659.
2002 05 53728·
2002 04 6786·
2002 03 27751·
2002 02 18751.
2002 01 40770.
2001 12 65739.
2001 11 56763·
2001 10 65768·
2001 09 62759.
2001 08 83692·
2001 07 13617.
2001 06 81674·
2001 05 88765.
2001 04 62791·
2001 03 31746.
2001 02 28747.
2001 01 12727.
2000 12 25702.
2000 11 67720·
2000 10 95774.
2000 09 54760·
2000 08 24667·
2000 07 1578.
2000 06 94602·
2000 05 57738.
2000 04 34769.
2000 03 40745·
2000 02 64737.
2000 01 91798·
1999 12 55746.
1999 11 17802·
1999 10 68766.
1999 09 49775.
1999 08 12716·
1999 07 88594·
1999 06 92688·
1999 05 52782·
1999 04 57815.
1999 03 34747.
1999 02 51786·
1999 01 43755.
1998 12 64734·
1998 11 62707.
1998 10 81755.
1998 09 91685·
1998 08 34641.
1998 07 3493.
1998 06 47607·
1998 05 91776.
1998 04 92786·
1998 03 15772.
1998 02 35796.
1998 01 61795.
1997 12 89809.
1997 11 79779·
1997 10 59787.
1997 09 45779·
1997 08 99642·
1997 07 2595·
1997 06 57641.
1997 05 14756.
1997 04 24783·
1997 03 15789.
1997 02 91766.
1997 01 60798·
1996 12 89776.
1996 11 75761.
1996 10 49740·
1996 09 4770·
1996 08 44608·
1996 07 63478·
1996 06 45613·
1996 05 89685·
1996 04 65700.
1996 03 87724·
1996 02 15796.
1996 01 84780·
1995 12 51723.
1995 11 77731.
1995 10 24733·
1995 09 84697.
1995 08 29558·
1995 07 91474·
1995 06 59549.
1995 05 7722.
1995 04 49715·
1995 03 10754·
1995 02 32715.
1995 01 98758·
1994 12 86688.
1994 11 41667·
1994 10 82653.
1994 09 27677·
1994 08 40548.
1994 07 15467.
1994 06 72519.
1994 05 86672·
1994 04 37707.
1994 03 89696.
1994 02 89731.
1994 01 95698.
1993 12 27739.
1993 11 45738.
1993 10 47751·
1993 09 99700·
1993 08 87578.
1993 07 89461·
1993 06 82531.
1993 05 66631.
1993 04 15653.
1993 03 53671.
1993 02 59675.
1993 01 91682·
1992 12 37646.
1992 11 94645.
1992 10 65654.
1992 09 93644·
1992 08 5542·
1992 07 93461·
1992 06 13507·
1992 05 16678·
1992 04 93722.
1992 03 56695·
1992 02 41671·
1992 01 29655.
1991 12 1696.
1991 11 17686·
1991 10 11699·
1991 09 26667.
1991 08 56595.
1991 07 30528·
1991 06 12556·
1991 05 26714.
1991 04 6730.
1991 03 78701.
1991 02 57751·
1991 01 74742.
1990 12 29687·
1990 11 68652·
1990 10 83677.
1990 09 38688.
1990 08 24579.
1990 07 31517.
1990 06 53564.
1990 05 13657.
1990 04 16689.
1990 03 23679·
1990 02 55728·
1990 01 19677·
1989 12 57595.
1989 11 27586·
1989 10 3626·
1989 09 98692·
1989 08 21486.
1989 07 49387·
1989 06 33436.
1989 05 20637·
1989 04 8681·
1989 03 21681.
1989 02 9638·
1989 01 80677·
1988 12 45642.
1988 11 98608.
1988 10 19608·
1988 09 96634·
1988 08 81495·
1988 07 64399.
1988 06 75499·
1988 05 13586·
1988 04 92687·
1988 03 24723.
1988 02 16706·
1988 01 0680·
1987 12 79627·
1987 11 11614·
1987 10 5629·
1987 09 50642.
1987 08 66448·
1987 07 80431·
1987 06 28530.
1987 05 83632.
1987 04 4659.
1987 03 14673.
1987 02 0667.
1987 01 44661.
1986 12 69663.
1986 11 19667.
1986 10 58644·
1986 09 1634.
1986 08 61523.
1986 07 26405·
1986 06 65474.
1986 05 49553.
1986 04 5616·
1986 03 93621·
1986 02 9641·
1986 01 6659.
1985 12 51621.
1985 11 1631.
1985 10 2604·
1985 09 17605·
1985 08 76477·
1985 07 57370.
1985 06 83500.
1985 05 50615.
1985 04 79638.
1985 03 92650·
1985 02 15678·
1985 01 1663.
1984 12 86634·
1984 11 63624.
1984 10 85633.
1984 09 88621·
1984 08 47505.
1984 07 52416·
1984 06 6499·
1984 05 55642·
1984 04 38677.
1984 03 65685.
1984 02 17716·
1984 01 72736·
1983 12 59704.
1983 11 34679·
1983 10 79708.
1983 09 32685.
1983 08 35529.
1983 07 15436.
1983 06 82497.
1983 05 55682·
1983 04 17733.
1983 03 91720·
1983 02 37745·
1983 01 85733.
1982 12 81711.
1982 11 67681·
1982 10 83695.
1982 09 90683·
1982 08 25546·
1982 07 76480.
1982 06 83593.
1982 05 66686·
1982 04 77733.
1982 03 74698.
1982 02 24704·
1982 01 32728.
1981 12 86691·
1981 11 43687.
1981 10 20724·
1981 09 30724·
1981 08 28553·
1981 07 89466·
1981 06 8558·
1981 05 32656.
1981 04 3669.
1981 03 44706·
1981 02 51691.
1981 01 30656·
1980 12 37657.
1980 11 64636.
1980 10 38652·
1980 09 43663·
1980 08 79554·
1980 07 32407.
1980 06 80508.
1980 05 17666.
1980 04 6712.
1980 03 54702·
1980 02 16710.
1980 01 20705·
1979 12 17692.
1979 11 62680·
1979 10 9680.
1979 09 46689·
1979 08 39476.
1979 07 11415.
1979 06 47502.
1979 05 15657·
1979 04 21678.
1979 03 85646.
1979 02 42645.
1979 01 70687·
1978 12 39649·
1978 11 89634·
1978 10 33660.
1978 09 81694.
1978 08 93486.
1978 07 55349·
1978 06 82480.
1978 05 42655.
1978 04 9659·
1978 03 40646·
1978 02 77651·
1978 01 71663·
1977 12 37610.
1977 11 26617·
1977 10 32646.
1977 09 14682.
1977 08 52430·
1977 07 18389·
1977 06 83491.
1977 05 39722.
1977 04 55754.
1977 03 49721·
1977 02 94726.
1977 01 41715·
1976 12 71654·
1976 11 76675.
1976 10 53672.
1976 09 38712.
1976 08 51495·
1976 07 79460·
1976 06 73578·
1976 05 74728.
1976 04 70714.
1976 03 66692·
1976 02 91685.
1976 01 20670·
1975 12 28662.
1975 11 69675.
1975 10 71663·
1975 09 68684.
1975 08 51506·
1975 07 43411·
1975 06 0454.
1975 05 39662.
1975 04 90642.
1975 03 71627·
1975 02 91628·
1975 01 76627.
1974 12 19602·
1974 11 59587.
1974 10 82571·
1974 09 48604·
1974 08 38425.
1974 07 39343.
1974 06 37431.
1974 05 49634.
1974 04 74627·
1974 03 67573·
1974 02 42596.
1974 01 0570·
1973 12 77583.
1973 11 26582.
1973 10 11583.
1973 09 43592·
1973 08 22425·
1973 07 21341.
1973 06 82431·
1973 05 48589·
1973 04 10583·
1973 03 84606·
1973 02 18610·
1973 01 9637·
1972 12 65551.
1972 11 73565·
1972 10 5585·
1972 09 46608·
1972 08 39359·
1972 07 68329·
1972 06 59389·
1972 05 1575·
1972 04 6586·
1972 03 77578·
1972 02 15580·
1972 01 46604.
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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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