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2012 04 6324·5
2012 03 9526·8
2012 02 6428.2
2012 01 1025·4
2011 12 9723.9
2011 11 9126·0
2011 10 6124.5
2011 09 525·4
2011 08 322·1
2011 07 9022·1
2011 06 6424·9
2011 05 522·6
2011 04 3226.8
2011 03 7725·5
2011 02 8823·6
2011 01 5424.0
2010 12 5926.0
2010 11 5625·9
2010 10 6926·1
2010 09 2121.6
2010 08 8523·5
2010 07 6023.4
2010 06 7122.7
2010 05 128.2
2010 04 3625.2
2010 03 4525.5
2010 02 8225.4
2010 01 1229.1
2009 12 6127·8
2009 11 9325.1
2009 10 1526.2
2009 09 9925·8
2009 08 3627·1
2009 07 1129·9
2009 06 729.4
2009 05 3028·9
2009 04 6127·4
2009 03 3027·0
2009 02 2228·6
2009 01 131·8
2008 12 6227·4
2008 11 626.4
2008 10 4727.0
2008 09 2930·2
2008 08 8931.3
2008 07 2330·6
2008 06 9528.2
2008 05 6030.4
2008 04 1731.4
2008 03 8531·5
2008 02 434.1
2008 01 6228.4
2007 12 4732·8
2007 11 2530·3
2007 10 3730·3
2007 09 2929.2
2007 08 529.0
2007 07 030.7
2007 06 8232.8
2007 05 8129·2
2007 04 4032.1
2007 03 9031·1
2007 02 5132.5
2007 01 6234·5
2006 12 2935·4
2006 11 335.6
2006 10 8337.5
2006 09 4137.9
2006 08 7133.9
2006 07 7134.0
2006 06 4134·9
2006 05 1132·8
2006 04 9134·6
2006 03 4938.4
2006 02 1239.8
2006 01 9334·1
2005 12 4131.7
2005 11 2033·2
2005 10 1033·5
2005 09 3031·0
2005 08 9633.1
2005 07 9133.8
2005 06 7131.6
2005 05 9233.8
2005 04 5531.1
2005 03 9232·5
2005 02 6027·8
2005 01 7232·1
2004 12 4530·5
2004 11 8132·6
2004 10 6434·3
2004 09 9030·6
2004 08 1633.5
2004 07 3934.5
2004 06 9532·1
2004 05 8934·9
2004 04 4330.9
2004 03 7330.7
2004 02 9332·3
2004 01 4035.0
2003 12 2631·6
2003 11 1431.8
2003 10 1930.1
2003 09 3636·8
2003 08 9232·3
2003 07 1934·0
2003 06 6133·2
2003 05 9635·7
2003 04 8935·4
2003 03 7034·5
2003 02 3333.3
2003 01 6534.3
2002 12 9539·0
2002 11 7434.1
2002 10 7233.7
2002 09 1137.2
2002 08 935.1
2002 07 6133·9
2002 06 4235.0
2002 05 2931·4
2002 04 5637·8
2002 03 8934·7
2002 02 2935.3
2002 01 3831·6
2001 12 8735.2
2001 11 4036.7
2001 10 4836·3
2001 09 8134.8
2001 08 7734.8
2001 07 1937·7
2001 06 3538·8
2001 05 2936.5
2001 04 2738·5
2001 03 5940.5
2001 02 5539.6
2001 01 7540·0
2000 12 6339·4
2000 11 1641.2
2000 10 9341.3
2000 09 3942.0
2000 08 3341.0
2000 07 7239·5
2000 06 6536·6
2000 05 6438·4
2000 04 1539·3
2000 03 3338.7
2000 02 739·4
2000 01 2038·0
1999 12 837.8
1999 11 3236.9
1999 10 8236·6
1999 09 039·8
1999 08 3739.2
1999 07 2437.9
1999 06 7838.5
1999 05 2537·9
1999 04 5437.6
1999 03 9240·8
1999 02 941.5
1999 01 3840·9
1998 12 3342·1
1998 11 4241.1
1998 10 1143.6
1998 09 844.5
1998 08 7443.0
1998 07 638·8
1998 06 4944.9
1998 05 2943.3
1998 04 443.8
1998 03 4043.0
1998 02 940.3
1998 01 2141·6
1997 12 7344.2
1997 11 2641.4
1997 10 538·5
1997 09 2840·2
1997 08 5639.6
1997 07 7038·5
1997 06 7436.2
1997 05 1837·7
1997 04 5338·0
1997 03 542.4
1997 02 8041.4
1997 01 8641.1
1996 12 8940·5
1996 11 8737·6
1996 10 1039·3
1996 09 5238·3
1996 08 1639.3
1996 07 9735·5
1996 06 7838.9
1996 05 5840.6
1996 04 940·0
1996 03 4239.2
1996 02 2037·3
1996 01 7639.8
1995 12 6741·1
1995 11 5542·0
1995 10 140.9
1995 09 9743.6
1995 08 1741.0
1995 07 9040·1
1995 06 740.7
1995 05 4238·3
1995 04 839·0
1995 03 3139·5
1995 02 5336.9
1995 01 5633·8
1994 12 1732.3
1994 11 8436.7
1994 10 7539.8
1994 09 636.1
1994 08 4335·4
1994 07 8036·3
1994 06 3637.2
1994 05 8731·4
1994 04 1236·5
1994 03 7635.8
1994 02 2536.3
1994 01 1841·5
1993 12 7535·4
1993 11 5436.2
1993 10 5533·5
1993 09 4433.9
1993 08 635·3
1993 07 2036·0
1993 06 6233.2
1993 05 3334.7
1993 04 631·8
1993 03 633.6
1993 02 1135·4
1993 01 8035.7
1992 12 035·4
1992 11 6834·6
1992 10 8933·2
1992 09 337·7
1992 08 4038·4
1992 07 8935·5
1992 06 935.4
1992 05 4835·9
1992 04 9934.8
1992 03 7533.4
1992 02 834.9
1992 01 8333.2
1991 12 7931·7
1991 11 5732.2
1991 10 5133.9
1991 09 232·6
1991 08 629.4
1991 07 9234·0
1991 06 2430.9
1991 05 2432·7
1991 04 2834.7
1991 03 6238·7
1991 02 4035·6
1991 01 9336.2
1990 12 2336·8
1990 11 7436·6
1990 10 3837.1
1990 09 8036.2
1990 08 9036.8
1990 07 5835·4
1990 06 8037.8
1990 05 7735·9
1990 04 5437.4
1990 03 7338.5
1990 02 5436·5
1990 01 437·3
1989 12 6641·7
1989 11 9840·7
1989 10 7341·2
1989 09 544.0
1989 08 239·1
1989 07 4241.8
1989 06 7539.0
1989 05 4942·3
1989 04 6139.7
1989 03 3638.1
1989 02 2338.9
1989 01 3138.0
1988 12 7039.3
1988 11 3537.3
1988 10 536.4
1988 09 6940.1
1988 08 7840.3
1988 07 2338·8
1988 06 3334.8
1988 05 837·0
1988 04 6135·7
1988 03 538.3
1988 02 4639.4
1988 01 1638.3
1987 12 1940·6
1987 11 1340.7
1987 10 743·5
1987 09 8841.8
1987 08 7941.0
1987 07 437.6
1987 06 239·2
1987 05 4438.8
1987 04 8937.5
1987 03 6038·2
1987 02 4639.8
1987 01 2636.9
1986 12 2536·9
1986 11 8738·0
1986 10 7639·4
1986 09 538.8
1986 08 8935.4
1986 07 1636·2
1986 06 5443.1
1986 05 7538·8
1986 04 542.5
1986 03 541.6
1986 02 7038·4
1986 01 5440.4
1985 12 2338·0
1985 11 3538.7
1985 10 3538.3
1985 09 8635.3
1985 08 2035.2
1985 07 1339·8
1985 06 8836·0
1985 05 4240.7
1985 04 9538.3
1985 03 7038·5
1985 02 9238.8
1985 01 1438.2
1984 12 7436·3
1984 11 6336·5
1984 10 3337·3
1984 09 2336.9
1984 08 737.8
1984 07 7337·8
1984 06 2737·3
1984 05 1230·6
1984 04 7034.1
1984 03 830.2
1984 02 933·6
1984 01 5132.3
1983 12 6234.3
1983 11 9932.9
1983 10 4332·4
1983 09 3333·7
1983 08 1134.6
1983 07 232.2
1983 06 1835.4
1983 05 7832.5
1983 04 6433·9
1983 03 030·6
1983 02 4531·7
1983 01 2932·6
1982 12 034·7
1982 11 9834.7
1982 10 6334.0
1982 09 5735.0
1982 08 1634.9
1982 07 2932.9
1982 06 3529.7
1982 05 5533.9
1982 04 4030·5
1982 03 4833·8
1982 02 4834.8
1982 01 4234·2
1981 12 2132.8
1981 11 3934.6
1981 10 1637.3
1981 09 6332.8
1981 08 3530.0
1981 07 731·2
1981 06 7634·2
1981 05 8633·8
1981 04 8136.0
1981 03 8436.3
1981 02 9133.2
1981 01 535·7
1980 12 8733.6
1980 11 2632.2
1980 10 4932.8
1980 09 4134.5
1980 08 133·2
1980 07 1636·4
1980 06 6335.7
1980 05 3735·4
1980 04 033.6
1980 03 6036·2
1980 02 7138.1
1980 01 6236·9
1979 12 8338.2
1979 11 8936.6
1979 10 3637.2
1979 09 1035·1
1979 08 7733·8
1979 07 6136·5
1979 06 4636.2
1979 05 035·5
1979 04 3040·8
1979 03 5635·9
1979 02 1338.4
1979 01 7737.0
1978 12 2038.7
1978 11 8237.9
1978 10 7537·4
1978 09 1037.7
1978 08 4639·3
1978 07 7038·8
1978 06 9639·3
1978 05 9336.7
1978 04 3435·6
1978 03 7736.0
1978 02 6334.7
1978 01 4435·1
1977 12 3434.7
1977 11 8433.9
1977 10 8934·2
1977 09 934.9
1977 08 2134·0
1977 07 9931·7
1977 06 1335.8
1977 05 5629·4
1977 04 9632.3
1977 03 5230.2
1977 02 9630.9
1977 01 7932·1
1976 12 8429·9
1976 11 032.8
1976 10 2730.7
1976 09 9831.1
1976 08 3634·5
1976 07 2631·8
1976 06 1831·3
1976 05 5633·3
1976 04 2734·6
1976 03 3536·1
1976 02 834.1
1976 01 2434·6
1975 12 5736.0
1975 11 5933.8
1975 10 6034·9
1975 09 9435·4
1975 08 5233.5
1975 07 5532.8
1975 06 6132·6
1975 05 8735.0
1975 04 6234.5
1975 03 534·1
1975 02 2434.5
1975 01 4534·1
1974 12 6232·3
1974 11 1532.2
1974 10 8734.9
1974 09 3933.8
1974 08 5431·5
1974 07 1634.6
1974 06 1435·3
1974 05 6334·4
1974 04 6231·8
1974 03 6632·5
1974 02 9133·2
1974 01 3534.1
1973 12 3734.0
1973 11 4734·3
1973 10 3232.9
1973 09 036·5
1973 08 5434·4
1973 07 6435.6
1973 06 7537·8
1973 05 2732.6
1973 04 1334·8
1973 03 4933.2
1973 02 8234.2
1973 01 1031·0
1972 12 4032.6
1972 11 6032.5
1972 10 4232·4
1972 09 6832·1
1972 08 8632.5
1972 07 7731.6
1972 06 6731·3
1972 05 4629.9
1972 04 2532.1
1972 03 733·5
1972 02 9532·2
1972 01 1234.5
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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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