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2012 04 4611.3
2012 03 3711·8
2012 02 1812·3
2012 01 7415.0
2011 12 1318·2
2011 11 4512·6
2011 10 8213.9
2011 09 6713·8
2011 08 2214.2
2011 07 2720.2
2011 06 2316·8
2011 05 3311.4
2011 04 2212·7
2011 03 6413·0
2011 02 519·2
2011 01 1815·5
2010 12 8911.6
2010 11 6313.8
2010 10 710.5
2010 09 899·5
2010 08 2415·2
2010 07 5515·6
2010 06 5217.5
2010 05 4111.9
2010 04 519·6
2010 03 9710.6
2010 02 7516.8
2010 01 9318.1
2009 12 2217·1
2009 11 7113·5
2009 10 8815.5
2009 09 9014·5
2009 08 1214·2
2009 07 8322·3
2009 06 2917·5
2009 05 020·1
2009 04 2119.9
2009 03 6519.2
2009 02 6223.3
2009 01 1830.4
2008 12 7421.7
2008 11 7323·2
2008 10 7329·6
2008 09 6329·5
2008 08 2226.2
2008 07 9031.4
2008 06 7642·1
2008 05 7927.0
2008 04 4021·8
2008 03 2226.2
2008 02 1031·3
2008 01 3535·5
2007 12 2933·5
2007 11 025.0
2007 10 3625.2
2007 09 2426·4
2007 08 1424·8
2007 07 8239.4
2007 06 4242·5
2007 05 6834.4
2007 04 4533.2
2007 03 4830·5
2007 02 4230.4
2007 01 938.9
2006 12 9831.5
2006 11 632.9
2006 10 7326.7
2006 09 1632.4
2006 08 7323.3
2006 07 8631·6
2006 06 9935.9
2006 05 8433·5
2006 04 9637.6
2006 03 4729.9
2006 02 735·4
2006 01 3235.7
2005 12 1725·7
2005 11 6933·4
2005 10 1024·9
2005 09 425·7
2005 08 1120.1
2005 07 5837.2
2005 06 4533·7
2005 05 7026.7
2005 04 7922.5
2005 03 4824·3
2005 02 7722.1
2005 01 2330.9
2004 12 4718.1
2004 11 9419·2
2004 10 9225.8
2004 09 8232.9
2004 08 6326·3
2004 07 7729.0
2004 06 430.3
2004 05 9131.4
2004 04 529·3
2004 03 625.5
2004 02 5123·5
2004 01 2121·6
2003 12 7218.9
2003 11 1025.9
2003 10 9527.5
2003 09 6421.7
2003 08 9020.5
2003 07 4727·0
2003 06 2430.3
2003 05 4133·3
2003 04 833·0
2003 03 9926.9
2003 02 5117.7
2003 01 9528·0
2002 12 431·3
2002 11 7216.5
2002 10 1428·6
2002 09 9526.7
2002 08 7630·4
2002 07 9728.2
2002 06 7724·6
2002 05 3528.6
2002 04 5022·9
2002 03 3227·5
2002 02 2633.8
2002 01 3529·9
2001 12 7736.9
2001 11 5933·0
2001 10 7530.7
2001 09 3926.9
2001 08 3334·4
2001 07 8234.2
2001 06 6151·1
2001 05 1641.1
2001 04 1650·5
2001 03 3540·3
2001 02 4833.7
2001 01 5940.5
2000 12 5423.5
2000 11 7429.6
2000 10 2442.8
2000 09 8930.6
2000 08 9537·2
2000 07 8143·9
2000 06 053.6
2000 05 4935.0
2000 04 1741·1
2000 03 6225.6
2000 02 1626·5
2000 01 941·0
1999 12 1838.6
1999 11 4940·2
1999 10 3430.7
1999 09 6245·4
1999 08 2529.5
1999 07 9841.6
1999 06 4241.2
1999 05 2838.5
1999 04 8735·1
1999 03 9237.7
1999 02 5337.6
1999 01 5146·4
1998 12 8124.5
1998 11 3643·0
1998 10 533·7
1998 09 9924·1
1998 08 627·5
1998 07 6336·7
1998 06 6035·8
1998 05 6828.7
1998 04 8837·6
1998 03 2928.7
1998 02 731.4
1998 01 7745.9
1997 12 7834·0
1997 11 1539·8
1997 10 5840.3
1997 09 6831·4
1997 08 5039·1
1997 07 2932·7
1997 06 5237.1
1997 05 1233·7
1997 04 629·9
1997 03 234.9
1997 02 5125·0
1997 01 336.7
1996 12 7028·2
1996 11 9131·7
1996 10 4220·5
1996 09 6027·6
1996 08 9323.7
1996 07 7733·6
1996 06 4036.3
1996 05 2737.1
1996 04 5030·9
1996 03 6718·0
1996 02 8217·7
1996 01 7326.4
1995 12 4226·5
1995 11 9239.8
1995 10 3031·7
1995 09 9220.2
1995 08 9426.8
1995 07 1033·0
1995 06 7445·4
1995 05 432·4
1995 04 5629·2
1995 03 137·5
1995 02 2426·5
1995 01 5242·0
1994 12 533·3
1994 11 7333·3
1994 10 2029·4
1994 09 626·0
1994 08 3926·2
1994 07 5842.9
1994 06 2533·2
1994 05 5927.4
1994 04 8631.0
1994 03 1122.9
1994 02 2526·9
1994 01 3234·2
1993 12 9416.6
1993 11 1427·9
1993 10 3531.5
1993 09 6828·1
1993 08 4030.5
1993 07 7431.2
1993 06 9236.7
1993 05 3628.1
1993 04 2325.4
1993 03 2421.3
1993 02 5924·5
1993 01 3043.6
1992 12 7028·0
1992 11 1823·4
1992 10 2324·8
1992 09 7025·7
1992 08 3029·7
1992 07 3929·7
1992 06 9831·2
1992 05 026.8
1992 04 8020·8
1992 03 9519.2
1992 02 2225·0
1992 01 8824·6
1991 12 1821·1
1991 11 1527.8
1991 10 5724.4
1991 09 3027.1
1991 08 7238.0
1991 07 5734.6
1991 06 9235·5
1991 05 4333.4
1991 04 9129.2
1991 03 336.7
1991 02 3935.8
1991 01 7339·9
1990 12 5018·5
1990 11 5926.5
1990 10 3536·2
1990 09 8837·1
1990 08 5051.3
1990 07 5741.0
1990 06 4538·5
1990 05 8334·9
1990 04 1739.9
1990 03 5344·6
1990 02 5644.0
1990 01 7647.0
1989 12 042·0
1989 11 3051.0
1989 10 8145.4
1989 09 1241.6
1989 08 7536·1
1989 07 9343.4
1989 06 5742·4
1989 05 6033·9
1989 04 4338·3
1989 03 7436·9
1989 02 4849.8
1989 01 1433·0
1988 12 2944·5
1988 11 3128·5
1988 10 4141.5
1988 09 9456.0
1988 08 8345·6
1988 07 4440·2
1988 06 5049.0
1988 05 4238.7
1988 04 8132·9
1988 03 2132.6
1988 02 1236·8
1988 01 3044.4
1987 12 2343.6
1987 11 9236·4
1987 10 9040.1
1987 09 5035·2
1987 08 3442·4
1987 07 1537·4
1987 06 7241·2
1987 05 2136.0
1987 04 6635·7
1987 03 7137·4
1987 02 7138·5
1987 01 8942·4
1986 12 9238.3
1986 11 6830.6
1986 10 2535·1
1986 09 2237·8
1986 08 1439.0
1986 07 3537·4
1986 06 9740·8
1986 05 1430.4
1986 04 5728·3
1986 03 3130·4
1986 02 7432·9
1986 01 8442·5
1985 12 7241·0
1985 11 3747·3
1985 10 7036.1
1985 09 7739·2
1985 08 3333.4
1985 07 5935.5
1985 06 2238·0
1985 05 6137.9
1985 04 4139.8
1985 03 2940·1
1985 02 9342.8
1985 01 3139·2
1984 12 2326·8
1984 11 432.5
1984 10 7240.8
1984 09 626·5
1984 08 2737.8
1984 07 6536.9
1984 06 7039·2
1984 05 3029·7
1984 04 2935·7
1984 03 2030·1
1984 02 2740.1
1984 01 7329·4
1983 12 3037·6
1983 11 9942.1
1983 10 437·6
1983 09 2744.6
1983 08 5640.2
1983 07 5932·4
1983 06 9032·7
1983 05 1324.9
1983 04 5622.2
1983 03 8219.0
1983 02 9832.6
1983 01 7534.5
1982 12 531.5
1982 11 7529.4
1982 10 6531.8
1982 09 8235.5
1982 08 635·9
1982 07 6834·0
1982 06 5428.3
1982 05 2736.4
1982 04 8235.7
1982 03 2034.2
1982 02 5434·2
1982 01 3044·9
1981 12 8441·9
1981 11 1131·9
1981 10 7734.5
1981 09 3640·2
1981 08 8736·6
1981 07 4943·2
1981 06 6136.2
1981 05 1337·3
1981 04 9230.8
1981 03 6436·0
1981 02 6930.8
1981 01 5528·0
1980 12 2532.4
1980 11 1341·9
1980 10 8941·0
1980 09 8231·9
1980 08 3539·7
1980 07 7940.3
1980 06 3433.2
1980 05 3846·3
1980 04 9935.6
1980 03 6742·5
1980 02 4134·8
1980 01 9242·4
1979 12 1635·3
1979 11 948.9
1979 10 7450.6
1979 09 3742·5
1979 08 1149.9
1979 07 6351·4
1979 06 2049.3
1979 05 9438·9
1979 04 3631·2
1979 03 929·8
1979 02 9236·7
1979 01 642·5
1978 12 6646·3
1978 11 5451.6
1978 10 2940·4
1978 09 4345·9
1978 08 039.5
1978 07 3135·3
1978 06 9341.7
1978 05 9833.0
1978 04 6538.4
1978 03 9535.1
1978 02 7145.8
1978 01 9142·0
1977 12 1136·7
1977 11 2838·6
1977 10 7832·0
1977 09 6633.4
1977 08 1343·7
1977 07 3631.5
1977 06 5034·8
1977 05 9131·8
1977 04 7130·9
1977 03 5326.5
1977 02 5141·8
1977 01 6236·1
1976 12 1231·7
1976 11 3334.5
1976 10 6927.6
1976 09 9741·1
1976 08 8432.3
1976 07 5943.2
1976 06 1631.0
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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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