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2012 04 3430.7
2012 03 8126.8
2012 02 6124.3
2012 01 3723.9
2011 12 9929.6
2011 11 4024·6
2011 10 5134·2
2011 09 5736·8
2011 08 6239·9
2011 07 2739.8
2011 06 7422.5
2011 05 828·7
2011 04 7323.8
2011 03 2631.3
2011 02 4132·1
2011 01 3227·3
2010 12 722·4
2010 11 4429.8
2010 10 9230.7
2010 09 035.0
2010 08 6552·7
2010 07 1048.5
2010 06 8824.8
2010 05 521·8
2010 04 7220.3
2010 03 8322·6
2010 02 1927·3
2010 01 6622·0
2009 12 7823.4
2009 11 4427·3
2009 10 9527·4
2009 09 2946.5
2009 08 6052.2
2009 07 040·5
2009 06 5722·6
2009 05 6031·8
2009 04 1724.2
2009 03 8228.2
2009 02 6524.6
2009 01 5623·2
2008 12 7433.4
2008 11 4642·8
2008 10 935·4
2008 09 3532.5
2008 08 8353·8
2008 07 7543·6
2008 06 128.8
2008 05 4127·8
2008 04 1830·0
2008 03 7632·6
2008 02 8032.7
2008 01 4330.1
2007 12 8032.3
2007 11 7934·3
2007 10 733·6
2007 09 3634·1
2007 08 9449·0
2007 07 4142.0
2007 06 7119·6
2007 05 3927·4
2007 04 1125.2
2007 03 4427.1
2007 02 8519·5
2007 01 9537.2
2006 12 634.7
2006 11 9634·6
2006 10 8633·7
2006 09 7430.3
2006 08 8048·8
2006 07 2648.9
2006 06 3821.3
2006 05 7033·5
2006 04 5734.4
2006 03 9232·1
2006 02 2829·5
2006 01 234·1
2005 12 8833.5
2005 11 7633.4
2005 10 7039.8
2005 09 1442.6
2005 08 5051·5
2005 07 8546.2
2005 06 122.8
2005 05 7627·8
2005 04 4125·6
2005 03 4925.1
2005 02 8339·4
2005 01 8231.2
2004 12 8736.2
2004 11 2635·0
2004 10 630.4
2004 09 5036·8
2004 08 4053.1
2004 07 9648.3
2004 06 8224·2
2004 05 2523·9
2004 04 7331·9
2004 03 6828·3
2004 02 4835·3
2004 01 7624·0
2003 12 8829.9
2003 11 7229·4
2003 10 6927·7
2003 09 9837.8
2003 08 1052.9
2003 07 6548.9
2003 06 3018·1
2003 05 828·9
2003 04 9029·2
2003 03 2923·9
2003 02 4628·5
2003 01 5220.9
2002 12 232.9
2002 11 7129·5
2002 10 5534·4
2002 09 9946·5
2002 08 4749·8
2002 07 2149·0
2002 06 1821.7
2002 05 4229·6
2002 04 5135·5
2002 03 3729.2
2002 02 2529·5
2002 01 127.0
2001 12 6430·4
2001 11 039.4
2001 10 8842·2
2001 09 2046.2
2001 08 6155·5
2001 07 1843.2
2001 06 4416·2
2001 05 6932.2
2001 04 4330·3
2001 03 2036.3
2001 02 5823·8
2001 01 4034.7
2000 12 3528·4
2000 11 6540.5
2000 10 1533.2
2000 09 5438·2
2000 08 8750·1
2000 07 3444·0
2000 06 3123·9
2000 05 5437.7
2000 04 7538·0
2000 03 3435.2
2000 02 4236.8
2000 01 1135·9
1999 12 036.1
1999 11 9529·0
1999 10 1137.7
1999 09 1740.6
1999 08 8655.3
1999 07 7539·0
1999 06 2718·2
1999 05 9230.5
1999 04 8430·7
1999 03 5628·9
1999 02 136·2
1999 01 8031.5
1998 12 6940·0
1998 11 4441·0
1998 10 7330.7
1998 09 5044·9
1998 08 4345.9
1998 07 7037·3
1998 06 525.2
1998 05 9729·7
1998 04 3032.7
1998 03 9236.9
1998 02 8431·4
1998 01 3942·7
1997 12 8036·7
1997 11 9143.1
1997 10 2439.9
1997 09 2137.5
1997 08 6959.7
1997 07 7344·0
1997 06 6219·4
1997 05 1227.9
1997 04 9826·8
1997 03 7128.5
1997 02 6332·8
1997 01 634.3
1996 12 9141.6
1996 11 4129·1
1996 10 1232·9
1996 09 2237·3
1996 08 056·4
1996 07 6444·8
1996 06 2322·1
1996 05 434.5
1996 04 9937.1
1996 03 4738·1
1996 02 3535·7
1996 01 2130.7
1995 12 8934.0
1995 11 2234.4
1995 10 1032.4
1995 09 6832.0
1995 08 9555·0
1995 07 4656.0
1995 06 3623·3
1995 05 6433.5
1995 04 6827·1
1995 03 035.7
1995 02 2529·2
1995 01 5229·0
1994 12 8334·3
1994 11 9034·5
1994 10 1635·9
1994 09 336.2
1994 08 4161·9
1994 07 4942·2
1994 06 7223·2
1994 05 929·7
1994 04 6731·3
1994 03 3323.5
1994 02 8036.0
1994 01 9131.0
1993 12 1135.9
1993 11 2433·4
1993 10 5426·5
1993 09 9234.9
1993 08 4946·8
1993 07 2838·4
1993 06 3119·1
1993 05 8223.1
1993 04 8028.5
1993 03 7625·3
1993 02 7331·7
1993 01 5423·1
1992 12 3138.7
1992 11 2730·0
1992 10 7037.4
1992 09 2836.7
1992 08 5250.6
1992 07 6142·4
1992 06 3415·6
1992 05 4828.4
1992 04 1927·3
1992 03 8431·8
1992 02 330.8
1992 01 8323.8
1991 12 3133.4
1991 11 2929·3
1991 10 4032.8
1991 09 2734.4
1991 08 1449·0
1991 07 5237.7
1991 06 3217·8
1991 05 027·4
1991 04 1829.8
1991 03 3534.0
1991 02 9227.6
1991 01 4523·4
1990 12 1937.4
1990 11 8525.8
1990 10 5935·6
1990 09 3238·4
1990 08 1747·8
1990 07 3234·1
1990 06 9512·4
1990 05 5425·0
1990 04 3824·5
1990 03 3528·3
1990 02 8931·6
1990 01 3231·5
1989 12 3235·8
1989 11 7331.5
1989 10 5227.5
1989 09 826.8
1989 08 7547.8
1989 07 5539.6
1989 06 2315.3
1989 05 5323.3
1989 04 6623·6
1989 03 1122.3
1989 02 6525.2
1989 01 6024.6
1988 12 3128·4
1988 11 9926.8
1988 10 6625·1
1988 09 4827.4
1988 08 2146.9
1988 07 9939.9
1988 06 3913.9
1988 05 6224·8
1988 04 1024·6
1988 03 1927.6
1988 02 2128·9
1988 01 7128·9
1987 12 026.2
1987 11 9027·3
1987 10 7526.6
1987 09 6926.9
1987 08 1644·5
1987 07 6942.6
1987 06 9017·5
1987 05 7521·2
1987 04 831.7
1987 03 3829·6
1987 02 7831·4
1987 01 3327.0
1986 12 5129.6
1986 11 229.4
1986 10 7734.7
1986 09 1234.9
1986 08 4647.1
1986 07 9535·9
1986 06 4916.9
1986 05 726·2
1986 04 1929.9
1986 03 7226·4
1986 02 8428.3
1986 01 3628·8
1985 12 1925.8
1985 11 1529.8
1985 10 9433.6
1985 09 4433·5
1985 08 2251.0
1985 07 3040·5
1985 06 1619.4
1985 05 027.3
1985 04 2930·9
1985 03 5029.7
1985 02 1331.4
1985 01 9828·2
1984 12 6535·3
1984 11 3128·6
1984 10 7427·9
1984 09 5732.1
1984 08 7946.5
1984 07 5444·8
1984 06 1220.3
1984 05 2226.9
1984 04 4923.4
1984 03 2725·4
1984 02 6330.0
1984 01 6028.3
1983 12 7333.2
1983 11 8132·4
1983 10 9233.9
1983 09 6834.0
1983 08 7854.4
1983 07 7245·5
1983 06 8522·1
1983 05 6325·6
1983 04 1326·7
1983 03 8228·2
1983 02 5727·1
1983 01 9023·8
1982 12 5527·7
1982 11 1829·0
1982 10 4428.7
1982 09 1840.4
1982 08 354.8
1982 07 1243.2
1982 06 1023.3
1982 05 4126·9
1982 04 8426·3
1982 03 2028.8
1982 02 4228.6
1982 01 7922·3
1981 12 4627·4
1981 11 2327·9
1981 10 5434·1
1981 09 7532·9
1981 08 6747·7
1981 07 2942.2
1981 06 8320.7
1981 05 9831.0
1981 04 4523.0
1981 03 6925.2
1981 02 9230·9
1981 01 4424·9
1980 12 728·5
1980 11 9930.9
1980 10 6934.4
1980 09 3036.0
1980 08 351.7
1980 07 241·7
1980 06 2817·3
1980 05 123.7
1980 04 824.8
1980 03 8335·2
1980 02 529.1
1980 01 2627·9
1979 12 2323.5
1979 11 7628·6
1979 10 6433.0
1979 09 9928·1
1979 08 7345·7
1979 07 3540·9
1979 06 9320·7
1979 05 4029.0
1979 04 925·4
1979 03 4327.2
1979 02 433.5
1979 01 9332·7
1978 12 531.2
1978 11 728.3
1978 10 3630.2
1978 09 2632.1
1978 08 6352.8
1978 07 5842·9
1978 06 5119.9
1978 05 3427·8
1978 04 726·6
1978 03 5327·2
1978 02 3729.7
1978 01 3623·5
1977 12 8933·9
1977 11 7332·2
1977 10 733.7
1977 09 7632·9
1977 08 8352·5
1977 07 2545.4
1977 06 020.6
1977 05 2327·5
1977 04 8924.6
1977 03 4130.1
1977 02 7731·6
1977 01 7229.2
1976 12 3430.3
1976 11 7836.1
1976 10 2731·7
1976 09 4133.0
1976 08 6751·2
1976 07 1644·3
1976 06 6320·5
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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
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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