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2012 04 8039.6
2012 03 1540.2
2012 02 9343.6
2012 01 1835·9
2011 12 1648.3
2011 11 1642·7
2011 10 4838.7
2011 09 7543·5
2011 08 3744.9
2011 07 3437.9
2011 06 2341·3
2011 05 4944·8
2011 04 9445·5
2011 03 5140·3
2011 02 3041.6
2011 01 8547.2
2010 12 6141.4
2010 11 7348.9
2010 10 852.4
2010 09 5248.0
2010 08 4050·1
2010 07 3345·6
2010 06 1944.3
2010 05 4435·9
2010 04 5536·6
2010 03 8647·9
2010 02 5244·9
2010 01 7946.4
2009 12 5851·7
2009 11 1555·2
2009 10 1842·6
2009 09 349·6
2009 08 2345.3
2009 07 2540.4
2009 06 5745·6
2009 05 8446.8
2009 04 5043·9
2009 03 5042.1
2009 02 3046·7
2009 01 1643·1
2008 12 6635·0
2008 11 4540.9
2008 10 2638.6
2008 09 1932.0
2008 08 2128.8
2008 07 9239·6
2008 06 5836·2
2008 05 3739·8
2008 04 8928.8
2008 03 9739.5
2008 02 6331.8
2008 01 3836.9
2007 12 7239·2
2007 11 9333.7
2007 10 536·4
2007 09 1734·0
2007 08 9533·5
2007 07 3631·6
2007 06 7134·0
2007 05 9434.2
2007 04 834.9
2007 03 726.4
2007 02 7435·8
2007 01 1132.2
2006 12 8627·2
2006 11 1332·0
2006 10 5333·8
2006 09 3939.8
2006 08 3132.8
2006 07 8636·4
2006 06 7033·1
2006 05 7229·1
2006 04 6632.3
2006 03 8334·4
2006 02 1230.9
2006 01 2827.4
2005 12 4423·8
2005 11 8544·9
2005 10 9334·2
2005 09 5233.8
2005 08 3840·9
2005 07 9838·6
2005 06 5138.3
2005 05 1337·1
2005 04 5038·3
2005 03 5537.5
2005 02 4934·1
2005 01 527·9
2004 12 539·5
2004 11 1236.9
2004 10 7435·7
2004 09 4736.3
2004 08 5335·1
2004 07 5136.6
2004 06 3934·5
2004 05 8430·8
2004 04 7030·3
2004 03 7837·2
2004 02 8329·7
2004 01 8443·2
2003 12 5629.6
2003 11 2532.3
2003 10 6740·9
2003 09 4234.6
2003 08 3728.0
2003 07 4835.8
2003 06 8136.8
2003 05 7742.2
2003 04 6236.7
2003 03 3042·8
2003 02 3737·8
2003 01 3234.0
2002 12 836·5
2002 11 7730.5
2002 10 7225·4
2002 09 7834.9
2002 08 7431·8
2002 07 2021·7
2002 06 5130·9
2002 05 735.3
2002 04 8634.6
2002 03 1633.9
2002 02 6030.3
2002 01 4133.1
2001 12 9533.6
2001 11 4733.4
2001 10 1233.3
2001 09 2130.7
2001 08 7531·9
2001 07 2027·7
2001 06 4631.3
2001 05 1927.4
2001 04 2830.9
2001 03 6526·3
2001 02 2432·1
2001 01 2728·1
2000 12 7830.8
2000 11 4023·1
2000 10 3427·9
2000 09 6526.7
2000 08 7731·1
2000 07 2727.1
2000 06 8932.0
2000 05 7725.3
2000 04 9818·9
2000 03 3221·6
2000 02 2721·1
2000 01 3225·0
1999 12 4326.8
1999 11 8633.1
1999 10 1135·2
1999 09 2430·3
1999 08 3828.0
1999 07 4731·1
1999 06 2930·0
1999 05 7325.6
1999 04 3230.8
1999 03 9533.8
1999 02 9331.3
1999 01 2334.9
1998 12 126·8
1998 11 3833·6
1998 10 4233·5
1998 09 4232·7
1998 08 4529.5
1998 07 730.9
1998 06 3825.7
1998 05 2631.5
1998 04 9023.7
1998 03 5929.2
1998 02 6933.9
1998 01 9231.1
1997 12 8636·7
1997 11 7632·3
1997 10 4928.2
1997 09 8535·8
1997 08 933·8
1997 07 6435.0
1997 06 1541.2
1997 05 7536·8
1997 04 5939·3
1997 03 5441.0
1997 02 2935.9
1997 01 5640·6
1996 12 6038·6
1996 11 439·2
1996 10 8137·2
1996 09 4535.6
1996 08 6538.7
1996 07 9544·0
1996 06 8236.5
1996 05 8932·6
1996 04 4736·1
1996 03 3435·4
1996 02 7130.5
1996 01 5636.5
1995 12 838·9
1995 11 5231.2
1995 10 1036.0
1995 09 3935.4
1995 08 7343.0
1995 07 640.1
1995 06 8838.2
1995 05 5942·4
1995 04 9237·1
1995 03 7731.0
1995 02 1739.1
1995 01 5933.1
1994 12 4133·2
1994 11 7331.7
1994 10 3637.7
1994 09 833.4
1994 08 1937.7
1994 07 2439·9
1994 06 638.6
1994 05 142·0
1994 04 5441.2
1994 03 8937.9
1994 02 1640.1
1994 01 5738.9
1993 12 9340.1
1993 11 4742·0
1993 10 7940.3
1993 09 2042.6
1993 08 1432.2
1993 07 635.7
1993 06 3337.8
1993 05 5837·7
1993 04 1745.8
1993 03 9845.1
1993 02 4140.5
1993 01 6741·8
1992 12 2742·4
1992 11 7844·4
1992 10 9043.3
1992 09 6545.0
1992 08 9442.0
1992 07 3041·9
1992 06 9445·7
1992 05 9741·3
1992 04 9341.5
1992 03 5937·8
1992 02 9041·0
1992 01 3138.0
1991 12 2636.9
1991 11 9736.4
1991 10 4136·4
1991 09 6139.2
1991 08 1735·3
1991 07 033.5
1991 06 3534·3
1991 05 834.9
1991 04 1836·5
1991 03 5137·5
1991 02 8537.3
1991 01 1537·1
1990 12 236·9
1990 11 5633.6
1990 10 2933.1
1990 09 5032.0
1990 08 7134·0
1990 07 4634·2
1990 06 3032.1
1990 05 930·5
1990 04 5128·2
1990 03 7829·2
1990 02 7529·8
1990 01 1130·0
1989 12 9129.9
1989 11 3532·1
1989 10 7832.7
1989 09 9934·8
1989 08 6628·9
1989 07 2223·9
1989 06 7732.1
1989 05 4235.6
1989 04 7836.0
1989 03 7128.7
1989 02 3433·1
1989 01 3635.8
1988 12 5230.8
1988 11 3832·3
1988 10 3733·3
1988 09 9932.8
1988 08 3831·5
1988 07 732.1
1988 06 9930.3
1988 05 7432.4
1988 04 1128.1
1988 03 8238·3
1988 02 5839·7
1988 01 3233·8
1987 12 7234·7
1987 11 9632·5
1987 10 7732·6
1987 09 6632.5
1987 08 4633.1
1987 07 533·6
1987 06 4432.2
1987 05 9637·6
1987 04 8338·1
1987 03 9235.7
1987 02 7136.4
1987 01 6635.8
1986 12 6037.3
1986 11 6236.0
1986 10 9738.4
1986 09 4439·7
1986 08 7639.5
1986 07 4741.8
1986 06 8539.9
1986 05 2538.8
1986 04 5740·2
1986 03 442.1
1986 02 2238·2
1986 01 2840·9
1985 12 5341·5
1985 11 1546.9
1985 10 2141·4
1985 09 9841·5
1985 08 4036·3
1985 07 8542.9
1985 06 2042.2
1985 05 337·6
1985 04 1738.5
1985 03 4839·8
1985 02 8240·9
1985 01 3843.9
1984 12 1143·6
1984 11 5941·9
1984 10 9644.0
1984 09 2140.9
1984 08 7242.7
1984 07 041.9
1984 06 7339·3
1984 05 9741·3
1984 04 7543·1
1984 03 7843·6
1984 02 5146.2
1984 01 3545·5
1983 12 2044.8
1983 11 2544.2
1983 10 9444.3
1983 09 2953·4
1983 08 3355·0
1983 07 9647.9
1983 06 9053.3
1983 05 9852·8
1983 04 6549.0
1983 03 7445.6
1983 02 5146·8
1983 01 8647·0
1982 12 9050.9
1982 11 6652·4
1982 10 1548.8
1982 09 6449.8
1982 08 948·0
1982 07 248.9
1982 06 4658·1
1982 05 2349.8
1982 04 4849·1
1982 03 4048·6
1982 02 3043·1
1982 01 8539.7
1981 12 5639.2
1981 11 6141·1
1981 10 8241.7
1981 09 9236.3
1981 08 1048·2
1981 07 7241.5
1981 06 3840.1
1981 05 1536·6
1981 04 942·4
1981 03 535.5
1981 02 6239·9
1981 01 4744.0
1980 12 8041·8
1980 11 1537.1
1980 10 4240·2
1980 09 739.3
1980 08 7239.7
1980 07 8637·5
1980 06 9034·8
1980 05 3935.3
1980 04 6032·8
1980 03 2334.3
1980 02 4437.1
1980 01 1336·8
1979 12 4635·2
1979 11 5834.7
1979 10 6834·5
1979 09 2331.9
1979 08 5530.6
1979 07 4833.8
1979 06 4835.3
1979 05 8832·1
1979 04 3635.3
1979 03 7433.9
1979 02 9936.1
1979 01 5235·1
1978 12 6634.6
1978 11 4338·2
1978 10 5831·2
1978 09 8535·6
1978 08 4435.3
1978 07 8734.0
1978 06 8834·4
1978 05 7939.8
1978 04 9738·4
1978 03 6240.4
1978 02 7638·1
1978 01 5538.5
1977 12 7437·0
1977 11 5039·5
1977 10 3638·5
1977 09 5737·0
1977 08 5242.9
1977 07 5741.2
1977 06 638·4
1977 05 5340·2
1977 04 2934.7
1977 03 1641·1
1977 02 4839.9
1977 01 3837·7
1976 12 3237.3
1976 11 8236·9
1976 10 5039.5
1976 09 3139·6
1976 08 1239.6
1976 07 3833·1
1976 06 2543·3
1976 05 7739.0
1976 04 4237.1
1976 03 9134·5
1976 02 1135.7
1976 01 4435·1
1975 12 2535.6
1975 11 7133.8
1975 10 7239.6
1975 09 2637.0
1975 08 8544·0
1975 07 3535.0
1975 06 9439.1
1975 05 4337·1
1975 04 7340.0
1975 03 6539·1
1975 02 9135.2
1975 01 3842·9
1974 12 6437·6
1974 11 6837·9
1974 10 132.0
1974 09 8236.2
1974 08 5832·4
1974 07 7634.2
1974 06 8634.9
1974 05 6726.8
1974 04 8130.0
1974 03 4435·0
1974 02 3430.6
1974 01 1429.2
1973 12 8328.4
1973 11 5527·1
1973 10 5926.0
1973 09 6627.7
1973 08 4024.4
1973 07 1531·3
1973 06 9829.2
1973 05 9230·7
1973 04 5230·3
1973 03 5626.6
1973 02 1426·8
1973 01 8727·2
1972 12 4433.1
1972 11 3533·4
1972 10 9532·0
1972 09 7028.9
1972 08 6730.3
1972 07 3326.6
1972 06 5424.9
1972 05 8531·5
1972 04 9630.4
1972 03 5633.8
1972 02 2940·7
1972 01 034.5
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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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