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2012 04 2032.0
2012 03 8732.4
2012 02 9631·5
2012 01 6125·1
2011 12 2235·0
2011 11 2035·4
2011 10 9832.1
2011 09 3125·6
2011 08 7142.8
2011 07 3241·1
2011 06 8323.7
2011 05 8026.8
2011 04 1922·6
2011 03 531·0
2011 02 6233.9
2011 01 5426·7
2010 12 4037·2
2010 11 4631·3
2010 10 7432·6
2010 09 2133.3
2010 08 3439.9
2010 07 8837·4
2010 06 8324.4
2010 05 7526·2
2010 04 2828·6
2010 03 8531·0
2010 02 7431.0
2010 01 3626·7
2009 12 7132·6
2009 11 2035·3
2009 10 6334.9
2009 09 4725.1
2009 08 3943.9
2009 07 043.2
2009 06 8624.7
2009 05 7927·0
2009 04 3328.2
2009 03 5631·7
2009 02 634.8
2009 01 2433·9
2008 12 7737·6
2008 11 4534·9
2008 10 1232.0
2008 09 231·2
2008 08 2333.4
2008 07 4845·6
2008 06 1631·3
2008 05 5718·8
2008 04 4434·7
2008 03 7240·2
2008 02 5641.3
2008 01 5831·6
2007 12 4335.3
2007 11 4937·8
2007 10 9537·9
2007 09 033.0
2007 08 4432·9
2007 07 3643.0
2007 06 2023.1
2007 05 222·3
2007 04 9840.6
2007 03 1446·9
2007 02 4642.4
2007 01 724·8
2006 12 8031.4
2006 11 8935.4
2006 10 935.5
2006 09 8633.4
2006 08 9040·7
2006 07 9442·5
2006 06 7324.5
2006 05 3129·7
2006 04 5430·0
2006 03 8431·3
2006 02 2539.5
2006 01 6235·3
2005 12 2228·5
2005 11 4336.3
2005 10 7836.6
2005 09 2426.6
2005 08 7036.2
2005 07 7544·9
2005 06 7024.8
2005 05 8522.3
2005 04 9838·3
2005 03 1336·1
2005 02 6532.4
2005 01 4029.5
2004 12 3130·8
2004 11 1435.5
2004 10 5037.9
2004 09 736.0
2004 08 2040·4
2004 07 5943·3
2004 06 3721·2
2004 05 3229.4
2004 04 4030.7
2004 03 5536·6
2004 02 6527.3
2004 01 8227.7
2003 12 9231·3
2003 11 3435.2
2003 10 9737.7
2003 09 5238·9
2003 08 138·5
2003 07 5141·8
2003 06 2025·8
2003 05 6223.9
2003 04 1734.1
2003 03 8935·9
2003 02 4832·5
2003 01 5530·4
2002 12 1639·3
2002 11 5539·9
2002 10 1838.0
2002 09 136·2
2002 08 9840.8
2002 07 7935.8
2002 06 9427·8
2002 05 9424.7
2002 04 8934·5
2002 03 2030.8
2002 02 6232·9
2002 01 5229.2
2001 12 3833.1
2001 11 5741.5
2001 10 3636·9
2001 09 2030.6
2001 08 2235.7
2001 07 9937.9
2001 06 5521·0
2001 05 6824·8
2001 04 4036.1
2001 03 7632.8
2001 02 8031.4
2001 01 8930·5
2000 12 1942·5
2000 11 4536.9
2000 10 9935·3
2000 09 230.2
2000 08 840·0
2000 07 8840.9
2000 06 2724.2
2000 05 5125·1
2000 04 8328·8
2000 03 1140.0
2000 02 9932.6
2000 01 731.6
1999 12 4437.4
1999 11 4741·0
1999 10 8035.8
1999 09 6233·2
1999 08 1742.4
1999 07 5235.1
1999 06 5820.2
1999 05 3630·8
1999 04 5232·9
1999 03 739·4
1999 02 4431.0
1999 01 7430·9
1998 12 2430.5
1998 11 1947.4
1998 10 7733.3
1998 09 4329·6
1998 08 3440·0
1998 07 1943.0
1998 06 2127.1
1998 05 3923.4
1998 04 836·6
1998 03 6534.8
1998 02 6233·8
1998 01 8126.4
1997 12 9536·1
1997 11 3839.1
1997 10 1336·5
1997 09 1232.5
1997 08 7046.5
1997 07 4540·9
1997 06 1426·9
1997 05 229·7
1997 04 3630·2
1997 03 1744.3
1997 02 2540·4
1997 01 4527·3
1996 12 1643·5
1996 11 1137.7
1996 10 3643·5
1996 09 6033.0
1996 08 6145·4
1996 07 844.3
1996 06 6022·7
1996 05 9127·1
1996 04 4738.0
1996 03 1631·6
1996 02 3337.4
1996 01 832.6
1995 12 7441·5
1995 11 6540.0
1995 10 2041.4
1995 09 431·4
1995 08 6750.3
1995 07 1347·5
1995 06 722·7
1995 05 9926.4
1995 04 7729.0
1995 03 4131.0
1995 02 832·4
1995 01 3729.5
1994 12 7940.9
1994 11 5638·4
1994 10 6136.4
1994 09 8627.3
1994 08 7349.3
1994 07 8940.1
1994 06 2925.9
1994 05 4225·9
1994 04 8632.4
1994 03 9735.6
1994 02 9841.7
1994 01 2328·2
1993 12 6630·9
1993 11 6236·2
1993 10 8431.5
1993 09 7324.5
1993 08 9150.3
1993 07 9042·2
1993 06 2223·7
1993 05 6224.7
1993 04 5927.4
1993 03 1332·7
1993 02 7734.3
1993 01 8429·7
1992 12 9730.9
1992 11 8838.4
1992 10 3629.7
1992 09 5726·9
1992 08 5540·4
1992 07 9546.4
1992 06 1120.2
1992 05 2622·0
1992 04 831·1
1992 03 4337·0
1992 02 4235.5
1992 01 6028·4
1991 12 5644·6
1991 11 6236·7
1991 10 9034.6
1991 09 5429·5
1991 08 2644·2
1991 07 1042·0
1991 06 4419.3
1991 05 2622·1
1991 04 6724.8
1991 03 6726·4
1991 02 1631·3
1991 01 2029.5
1990 12 5534.6
1990 11 4128·0
1990 10 4532·9
1990 09 617·5
1990 08 9044·7
1990 07 6336.4
1990 06 9216·0
1990 05 7822·7
1990 04 9825·9
1990 03 8928·2
1990 02 4723.3
1990 01 5433.6
1989 12 2832·6
1989 11 232.2
1989 10 2328·7
1989 09 8019.8
1989 08 5739·9
1989 07 829·4
1989 06 5613.3
1989 05 2425·4
1989 04 8522·8
1989 03 3828.0
1989 02 929·6
1989 01 8027·9
1988 12 3728.4
1988 11 5033.7
1988 10 7227·5
1988 09 6825·2
1988 08 6438.0
1988 07 2536.1
1988 06 5618.7
1988 05 3121.3
1988 04 4026.9
1988 03 6924·7
1988 02 024·3
1988 01 3927.8
1987 12 6727.1
1987 11 1429·5
1987 10 6632·4
1987 09 8617·6
1987 08 6937.5
1987 07 1736.1
1987 06 4215·1
1987 05 9118·1
1987 04 9824.8
1987 03 6031·6
1987 02 4238·8
1987 01 9820.1
1986 12 2832·4
1986 11 4933·3
1986 10 342·1
1986 09 7731.0
1986 08 6042·8
1986 07 1632.4
1986 06 8714·9
1986 05 2122.0
1986 04 1934.0
1986 03 1733.0
1986 02 8430.5
1986 01 4927·8
1985 12 5629·3
1985 11 3434.0
1985 10 530·0
1985 09 724.1
1985 08 4648.3
1985 07 7441·2
1985 06 8919·0
1985 05 6222·9
1985 04 8930.9
1985 03 6827·0
1985 02 9832.4
1985 01 926·5
1984 12 1127·6
1984 11 7334.1
1984 10 2137·2
1984 09 6730.8
1984 08 6348·5
1984 07 7145.4
1984 06 7017.6
1984 05 8130.5
1984 04 1930.5
1984 03 6835·5
1984 02 8331.9
1984 01 1927·5
1983 12 8026·8
1983 11 9541·8
1983 10 2338·0
1983 09 7630·6
1983 08 7144.9
1983 07 1144·3
1983 06 7822·5
1983 05 7024·5
1983 04 4429.4
1983 03 9528·2
1983 02 6234.2
1983 01 4730·4
1982 12 7232.9
1982 11 5634.3
1982 10 1132.7
1982 09 7427.9
1982 08 5747.2
1982 07 2341·6
1982 06 8824.1
1982 05 4624·7
1982 04 2429·2
1982 03 5526·1
1982 02 8231·0
1982 01 8327·3
1981 12 2432·0
1981 11 3335.0
1981 10 632.8
1981 09 2826·7
1981 08 3143.1
1981 07 6338.6
1981 06 9617.0
1981 05 5128·1
1981 04 4632.0
1981 03 7738.8
1981 02 1733·3
1981 01 4524.0
1980 12 9531.7
1980 11 3236·7
1980 10 5737.7
1980 09 3122·8
1980 08 2740.0
1980 07 843.1
1980 06 2719·0
1980 05 5120·7
1980 04 1929.1
1980 03 1431.7
1980 02 6635·8
1980 01 7527·8
1979 12 7132.7
1979 11 8136.2
1979 10 3628·9
1979 09 9824.9
1979 08 839.7
1979 07 6542·6
1979 06 2716·4
1979 05 3822.4
1979 04 8024.4
1979 03 4725.9
1979 02 5029.0
1979 01 4026·7
1978 12 6339·5
1978 11 3543.6
1978 10 4340.1
1978 09 7225·2
1978 08 5839·1
1978 07 6041.5
1978 06 7020.4
1978 05 2928·1
1978 04 8928.6
1978 03 7933.2
1978 02 1827.3
1978 01 3123·6
1977 12 731.9
1977 11 7434·7
1977 10 037.0
1977 09 2024.5
1977 08 8748.0
1977 07 5044.2
1977 06 5418·8
1977 05 6630.4
1977 04 3027·7
1977 03 4033.5
1977 02 4333·8
1977 01 6424·8
1976 12 6238.6
1976 11 140·9
1976 10 5534·3
1976 09 3330.2
1976 08 3250·5
1976 07 1345.6
1976 06 221·6
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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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