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2012 04 525.1
2012 03 6725.1
2012 02 6526·6
2012 01 1224.7
2011 12 4926.5
2011 11 1725·0
2011 10 5924.3
2011 09 4925·8
2011 08 4124·2
2011 07 4623.0
2011 06 3625·6
2011 05 6624.4
2011 04 3026·3
2011 03 3725·6
2011 02 724.0
2011 01 725·2
2010 12 9324·7
2010 11 9526.4
2010 10 1226·7
2010 09 4123.0
2010 08 3025.5
2010 07 5324.6
2010 06 1223·6
2010 05 6226·0
2010 04 6625.3
2010 03 6826·5
2010 02 9626.0
2010 01 9028.3
2009 12 5127.8
2009 11 2027.5
2009 10 7726·0
2009 09 6926·0
2009 08 6225·8
2009 07 1728·4
2009 06 9227·4
2009 05 6726.8
2009 04 9828·2
2009 03 9025·2
2009 02 528.0
2009 01 7929.4
2008 12 8427.3
2008 11 9625.6
2008 10 229·3
2008 09 2430·3
2008 08 7231.1
2008 07 1730.2
2008 06 9828·2
2008 05 4730·3
2008 04 3628·3
2008 03 5828·9
2008 02 3131.2
2008 01 1632·8
2007 12 7732.0
2007 11 5329·9
2007 10 6229.0
2007 09 2528.7
2007 08 2028.1
2007 07 5729·2
2007 06 8031·5
2007 05 9429.9
2007 04 1631·6
2007 03 5130.4
2007 02 9732.1
2007 01 6632.3
2006 12 3932.3
2006 11 4433.6
2006 10 5334·9
2006 09 1233·2
2006 08 9233·0
2006 07 6634.2
2006 06 834.4
2006 05 2433.3
2006 04 9834·3
2006 03 7436.4
2006 02 5336.5
2006 01 2331·3
2005 12 830·9
2005 11 4934.2
2005 10 9830·7
2005 09 5130·1
2005 08 9932.9
2005 07 9933.0
2005 06 8332·6
2005 05 8033.9
2005 04 6933.1
2005 03 5433.6
2005 02 7029·7
2005 01 233.2
2004 12 4431.0
2004 11 7233·7
2004 10 4634.0
2004 09 3631.3
2004 08 7533.5
2004 07 3532.8
2004 06 2630·6
2004 05 2830.5
2004 04 3827·8
2004 03 4829.7
2004 02 4628.3
2004 01 4532·5
2003 12 3229.3
2003 11 4329·6
2003 10 7032.5
2003 09 8334.8
2003 08 8330·6
2003 07 7832·7
2003 06 8631·8
2003 05 6033·6
2003 04 4133.0
2003 03 3332·3
2003 02 634.0
2003 01 2134·2
2002 12 8236.5
2002 11 1635.2
2002 10 6835·8
2002 09 3337.1
2002 08 635·1
2002 07 5833.4
2002 06 3636·8
2002 05 9336.3
2002 04 3938.7
2002 03 1536·2
2002 02 9637·7
2002 01 1935.7
2001 12 3137.1
2001 11 7037.0
2001 10 6337.5
2001 09 5436.1
2001 08 5736.0
2001 07 2836·9
2001 06 7337.8
2001 05 6936·8
2001 04 1738.1
2001 03 2339·1
2001 02 9039·6
2001 01 5740·9
2000 12 3840·0
2000 11 940·8
2000 10 239·2
2000 09 3739·2
2000 08 6939·7
2000 07 6938.6
2000 06 2239·0
2000 05 5438.4
2000 04 8739.0
2000 03 1039·5
2000 02 8741·2
2000 01 7738·2
1999 12 9038·8
1999 11 6336·9
1999 10 6039.0
1999 09 9939·1
1999 08 537·9
1999 07 8538·0
1999 06 2937·9
1999 05 4037·4
1999 04 8237·1
1999 03 5740·7
1999 02 840·4
1999 01 4542·0
1998 12 9741.4
1998 11 8643·2
1998 10 3342.6
1998 09 8245·0
1998 08 4941·7
1998 07 441.0
1998 06 6943·7
1998 05 4540·0
1998 04 6440·6
1998 03 6740.5
1998 02 238·9
1998 01 5440.2
1997 12 9439.0
1997 11 5739·2
1997 10 4638·5
1997 09 5238·1
1997 08 1239.3
1997 07 8136·7
1997 06 3837.0
1997 05 937.7
1997 04 1938.2
1997 03 7040·0
1997 02 4240.8
1997 01 1939.8
1996 12 4138·6
1996 11 8137·7
1996 10 4640.2
1996 09 237·9
1996 08 2940·3
1996 07 9639.2
1996 06 6138.3
1996 05 041·1
1996 04 5741.4
1996 03 2139.7
1996 02 2736.5
1996 01 8439.1
1995 12 2640·7
1995 11 8742·2
1995 10 539.8
1995 09 4742·4
1995 08 6141·4
1995 07 5240·7
1995 06 8541.1
1995 05 938.1
1995 04 1339·4
1995 03 9737.7
1995 02 7839·2
1995 01 1435·8
1994 12 5736.5
1994 11 2939·5
1994 10 2341·4
1994 09 3137·8
1994 08 9438.2
1994 07 8038·9
1994 06 8339·4
1994 05 5435.3
1994 04 4937.9
1994 03 537.8
1994 02 4537.4
1994 01 241.8
1993 12 7235·1
1993 11 8735·4
1993 10 2333·8
1993 09 2035·8
1993 08 3837·6
1993 07 3237·8
1993 06 5336·2
1993 05 7639.3
1993 04 4938.2
1993 03 7237·4
1993 02 038.9
1993 01 6438·0
1992 12 2938·6
1992 11 6437.7
1992 10 5137·0
1992 09 539·4
1992 08 2939.7
1992 07 8937.7
1992 06 1938.4
1992 05 4136·9
1992 04 2436·0
1992 03 5436·0
1992 02 4238.9
1992 01 4337.8
1991 12 1534·5
1991 11 9134.5
1991 10 8235·6
1991 09 336.1
1991 08 2733·2
1991 07 5534·8
1991 06 2834.7
1991 05 4234.8
1991 04 1036.3
1991 03 3038·6
1991 02 9235.9
1991 01 435·7
1990 12 4037·9
1990 11 2139.1
1990 10 1338.6
1990 09 5737·6
1990 08 1738.2
1990 07 6037.5
1990 06 5338·5
1990 05 9638·7
1990 04 6739.4
1990 03 340.2
1990 02 039·0
1990 01 4039.9
1989 12 4044·4
1989 11 3343·5
1989 10 6843.0
1989 09 3342.0
1989 08 1142.8
1989 07 5645·0
1989 06 9344.2
1989 05 4441·9
1989 04 8140·5
1989 03 440·0
1989 02 3942.6
1989 01 6740·7
1988 12 7541.3
1988 11 3340.9
1988 10 9441·2
1988 09 2242·3
1988 08 4443·1
1988 07 2542·8
1988 06 7039·2
1988 05 5241·6
1988 04 6238·2
1988 03 8638·2
1988 02 639.6
1988 01 2840·7
1987 12 3142·6
1987 11 4942·4
1987 10 6443·7
1987 09 4242.5
1987 08 7645.2
1987 07 6940·1
1987 06 3340.0
1987 05 1440·1
1987 04 4739.9
1987 03 2940·1
1987 02 2541.3
1987 01 8840·5
1986 12 1938·9
1986 11 3538.5
1986 10 7740·6
1986 09 3440.7
1986 08 9338.1
1986 07 1939·7
1986 06 5444.0
1986 05 4543·4
1986 04 9444·1
1986 03 3743·8
1986 02 4341.8
1986 01 4142.2
1985 12 7441.7
1985 11 7240·7
1985 10 5642.1
1985 09 6540.1
1985 08 640·4
1985 07 2943·3
1985 06 3239.2
1985 05 8842.1
1985 04 9141·4
1985 03 4041·1
1985 02 3440.7
1985 01 241·3
1984 12 5639·9
1984 11 6239·7
1984 10 4940·1
1984 09 2839·8
1984 08 4940·3
1984 07 7739.9
1984 06 9039·6
1984 05 935.5
1984 04 4837.7
1984 03 9135.2
1984 02 9536.5
1984 01 1435·1
1983 12 5136.4
1983 11 3636.3
1983 10 2835·3
1983 09 3836·4
1983 08 8438·2
1983 07 6936.9
1983 06 7539.5
1983 05 9935·9
1983 04 9936·0
1983 03 7034.5
1983 02 5034.8
1983 01 4336·1
1982 12 7037·2
1982 11 4837.5
1982 10 9237·1
1982 09 3737·6
1982 08 9737.9
1982 07 3335.5
1982 06 6132.5
1982 05 7736.6
1982 04 634·6
1982 03 8237·3
1982 02 4838·2
1982 01 8137.0
1981 12 4836·9
1981 11 7737·5
1981 10 6338·0
1981 09 9335.5
1981 08 9735·1
1981 07 2435·4
1981 06 4636·7
1981 05 8338·5
1981 04 5440·8
1981 03 5538.4
1981 02 5938·0
1981 01 4541.3
1980 12 4538·8
1980 11 2738·6
1980 10 9138·7
1980 09 9739.3
1980 08 2036.6
1980 07 2140.4
1980 06 5339·5
1980 05 8539.2
1980 04 5437.6
1980 03 4438·6
1980 02 8439.6
1980 01 7639.6
1979 12 4839.2
1979 11 2838·7
1979 10 4739.7
1979 09 6638·4
1979 08 2739.4
1979 07 2939·3
1979 06 3039·6
1979 05 7339·9
1979 04 4142·8
1979 03 2940·9
1979 02 4542·5
1979 01 4240.4
1978 12 6741.5
1978 11 3441.6
1978 10 3040·4
1978 09 4240.1
1978 08 341.2
1978 07 7643.2
1978 06 4941·7
1978 05 6640·4
1978 04 7740·3
1978 03 1240·7
1978 02 8940.3
1978 01 3540·2
1977 12 3741·0
1977 11 2440.4
1977 10 6439·6
1977 09 9139.3
1977 08 6041.2
1977 07 1838.3
1977 06 1039·6
1977 05 534.6
1977 04 4534·6
1977 03 2534·8
1977 02 9135.2
1977 01 7035·8
1976 12 1936·2
1976 11 337·0
1976 10 9536.4
1976 09 636.3
1976 08 3138·4
1976 07 3235·3
1976 06 3534·1
1976 05 5637·0
1976 04 5837·8
1976 03 2138.8
1976 02 4837·9
1976 01 9038·7
1975 12 9838.1
1975 11 9936·6
1975 10 9737·9
1975 09 238·0
1975 08 7936·0
1975 07 2536·9
1975 06 7138·5
1975 05 1138.7
1975 04 4939.3
1975 03 7939·2
1975 02 8340.0
1975 01 6239·3
1974 12 8638·7
1974 11 6839·2
1974 10 6941·6
1974 09 2340·4
1974 08 8837.6
1974 07 2440.2
1974 06 9340·3
1974 05 8839.3
1974 04 8137·9
1974 03 340.8
1974 02 4340·4
1974 01 7741·6
1973 12 1739·9
1973 11 8840·0
1973 10 3339·9
1973 09 3441.6
1973 08 6938.8
1973 07 8440.3
1973 06 9840.3
1973 05 2838·8
1973 04 3940·8
1973 03 2438·8
1973 02 440.2
1973 01 5336·7
1972 12 5239·9
1972 11 6439·0
1972 10 3638·2
1972 09 2838·0
1972 08 5840·3
1972 07 8538·3
1972 06 1039.7
1972 05 9738.1
1972 04 3238.6
1972 03 9539·6
1972 02 6139·7
1972 01 3039.2
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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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