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2012 04 6052·8
2012 03 952·1
2012 02 2852·2
2012 01 7751.0
2011 12 3950·4
2011 11 9850.7
2011 10 4251·8
2011 09 8851.5
2011 08 3450·6
2011 07 3649.7
2011 06 749.8
2011 05 4850·5
2011 04 9750·7
2011 03 451.0
2011 02 3651·4
2011 01 151·3
2010 12 151.6
2010 11 851·7
2010 10 6651·6
2010 09 1551·1
2010 08 4851.3
2010 07 8151·3
2010 06 6152·0
2010 05 8652·2
2010 04 6351.7
2010 03 7951·8
2010 02 851·9
2010 01 3251·6
2009 12 9651.2
2009 11 8452·0
2009 10 2051.3
2009 09 9751·8
2009 08 2252.6
2009 07 253·1
2009 06 3653.2
2009 05 5053.1
2009 04 4353.5
2009 03 6553·6
2009 02 1853·9
2009 01 8754.8
2008 12 8355.3
2008 11 2955·2
2008 10 5455.1
2008 09 2554.8
2008 08 9355.6
2008 07 7756.0
2008 06 5755·9
2008 05 956·0
2008 04 4956.9
2008 03 1456.6
2008 02 6556·3
2008 01 856.0
2007 12 5056.1
2007 11 7455.7
2007 10 4156·3
2007 09 1656·4
2007 08 2256·3
2007 07 1156·6
2007 06 7256·7
2007 05 5356·5
2007 04 1556·7
2007 03 856·9
2007 02 7157·2
2007 01 6257·5
2006 12 557·2
2006 11 7157·1
2006 10 7757·2
2006 09 1356·1
2006 08 9357·1
2006 07 3356.2
2006 06 5356.2
2006 05 9956.6
2006 04 356·0
2006 03 4956.4
2006 02 8556.4
2006 01 4155·9
2005 12 8655.9
2005 11 256·1
2005 10 8757.0
2005 09 8156·1
2005 08 1755.9
2005 07 9856.0
2005 06 9855·8
2005 05 9055·6
2005 04 9755.2
2005 03 6855·0
2005 02 7955.0
2005 01 6155.3
2004 12 5255.4
2004 11 7055.3
2004 10 1955.5
2004 09 1455·6
2004 08 3055.8
2004 07 8455·9
2004 06 3054·7
2004 05 9255·0
2004 04 956.0
2004 03 1855.8
2004 02 5255·7
2004 01 6555·4
2003 12 8854·3
2003 11 355·7
2003 10 4554.8
2003 09 2755.6
2003 08 9355·6
2003 07 9755.4
2003 06 9955.6
2003 05 9656.8
2003 04 7456.1
2003 03 7956·1
2003 02 2655.5
2003 01 1856.4
2002 12 656·2
2002 11 5855.9
2002 10 6456·1
2002 09 6256.5
2002 08 9155.7
2002 07 6455·3
2002 06 7655.6
2002 05 2155.5
2002 04 5255·6
2002 03 5555·3
2002 02 4955·9
2002 01 1455·9
2001 12 4156·1
2001 11 1256·2
2001 10 9856.7
2001 09 8657·0
2001 08 3457·5
2001 07 4258·5
2001 06 5958.6
2001 05 658.6
2001 04 2958.6
2001 03 7658·7
2001 02 9658·5
2001 01 6858.1
2000 12 5458·7
2000 11 7158·7
2000 10 9658·5
2000 09 9158.1
2000 08 5858·2
2000 07 858.1
2000 06 7258·5
2000 05 2058.8
2000 04 1659.0
2000 03 9558.9
2000 02 6358.9
2000 01 2359.0
1999 12 3058.3
1999 11 6358.8
1999 10 3058·7
1999 09 9458.9
1999 08 2358·6
1999 07 6858.7
1999 06 6358·6
1999 05 5458.4
1999 04 4858.7
1999 03 9258.1
1999 02 7358·0
1999 01 4558.7
1998 12 7958·5
1998 11 4258·1
1998 10 057.8
1998 09 3757·0
1998 08 1657·3
1998 07 5057.0
1998 06 457·1
1998 05 2456·0
1998 04 8556.5
1998 03 7257·1
1998 02 7657·0
1998 01 2656.5
1997 12 3756·4
1997 11 8955.8
1997 10 2755·6
1997 09 8656·4
1997 08 4756.5
1997 07 955.9
1997 06 9554.8
1997 05 7355·1
1997 04 1455·4
1997 03 6355·5
1997 02 4354·9
1997 01 8355·0
1996 12 6554·7
1996 11 754.8
1996 10 6054·8
1996 09 3354·2
1996 08 5054.4
1996 07 2454·7
1996 06 5754.4
1996 05 6854.6
1996 04 4554.1
1996 03 2054·1
1996 02 7353·8
1996 01 5754.1
1995 12 4954·6
1995 11 2655·5
1995 10 7154.0
1995 09 9552·5
1995 08 8852·8
1995 07 052·6
1995 06 3952·9
1995 05 053.7
1995 04 1253.3
1995 03 2253·2
1995 02 9053·4
1995 01 1652·5
1994 12 9852·0
1994 11 052.3
1994 10 6052.5
1994 09 1352·7
1994 08 4552.7
1994 07 6552.8
1994 06 1452.8
1994 05 8551.7
1994 04 7852·2
1994 03 7451·9
1994 02 4051.8
1994 01 5151·5
1993 12 4852.1
1993 11 851.8
1993 10 4951·6
1993 09 5651.3
1993 08 3151.1
1993 07 7550.7
1993 06 8050·5
1993 05 6750·9
1993 04 2750.3
1993 03 550·5
1993 02 9750.8
1993 01 8049·5
1992 12 6150·6
1992 11 5550·4
1992 10 8650·8
1992 09 1351.4
1992 08 8351·9
1992 07 751·3
1992 06 6151·0
1992 05 1150.4
1992 04 7050.3
1992 03 6850.4
1992 02 5950.3
1992 01 4350.3
1991 12 2150·3
1991 11 6949.7
1991 10 4449.6
1991 09 351.2
1991 08 6150·3
1991 07 6851·0
1991 06 350.6
1991 05 950·9
1991 04 4251.1
1991 03 4450.9
1991 02 4950·8
1991 01 851.1
1990 12 3950·9
1990 11 651·2
1990 10 2151·2
1990 09 6651.0
1990 08 5151·2
1990 07 8551.4
1990 06 8052·1
1990 05 7952.9
1990 04 552·5
1990 03 3752.8
1990 02 1652·9
1990 01 6652·9
1989 12 5051·9
1989 11 4452.0
1989 10 4051·7
1989 09 7052·0
1989 08 6252·0
1989 07 1352.3
1989 06 9151·6
1989 05 6252.3
1989 04 4251·8
1989 03 7651.9
1989 02 3152·0
1989 01 3451·9
1988 12 1552.4
1988 11 8852·1
1988 10 4951.8
1988 09 751·4
1988 08 3251·4
1988 07 3251.9
1988 06 5750.1
1988 05 2450·1
1988 04 6750.1
1988 03 1450·6
1988 02 9450.9
1988 01 5551·2
1987 12 2151.5
1987 11 6751·4
1987 10 2251.5
1987 09 9350·5
1987 08 1951·3
1987 07 4650.7
1987 06 2950.2
1987 05 5849·9
1987 04 1249.5
1987 03 3349.2
1987 02 2749·4
1987 01 9448.8
1986 12 7648.7
1986 11 3549.0
1986 10 5649.2
1986 09 7048·8
1986 08 1048·2
1986 07 8448.7
1986 06 7748.9
1986 05 8049.1
1986 04 4049.2
1986 03 3548·9
1986 02 7948.5
1986 01 4448.5
1985 12 1748.6
1985 11 7248.0
1985 10 7448.1
1985 09 547.7
1985 08 1547.8
1985 07 047.9
1985 06 148·6
1985 05 3348.0
1985 04 3648.5
1985 03 5148·2
1985 02 2247·5
1985 01 2148·4
1984 12 448·0
1984 11 8247·9
1984 10 2547·3
1984 09 9047·5
1984 08 7047.4
1984 07 7446·9
1984 06 2347·3
1984 05 8246.4
1984 04 1046.1
1984 03 3445·6
1984 02 5445.7
1984 01 6844·4
1983 12 2344·1
1983 11 9444·1
1983 10 8143·9
1983 09 4144.8
1983 08 3644·3
1983 07 1044·4
1983 06 9243·7
1983 05 2044.1
1983 04 9843·8
1983 03 6444·0
1983 02 9944·5
1983 01 5043·8
1982 12 8544·1
1982 11 6243.8
1982 10 4144.0
1982 09 044.4
1982 08 9744.3
1982 07 3744.0
1982 06 8044·2
1982 05 6444·0
1982 04 6043.7
1982 03 4444.2
1982 02 444.5
1982 01 6145·2
1981 12 2444.9
1981 11 6745·6
1981 10 2745·0
1981 09 3544·6
1981 08 6544·3
1981 07 1045.0
1981 06 8545.1
1981 05 5545·2
1981 04 8246.3
1981 03 645.2
1981 02 4345·2
1981 01 1645.7
1980 12 245.2
1980 11 1145.3
1980 10 8845·4
1980 09 3645·7
1980 08 7446·0
1980 07 745.7
1980 06 3245·4
1980 05 6045·7
1980 04 7545·6
1980 03 145·8
1980 02 1446.3
1980 01 5746·4
1979 12 446.6
1979 11 2546·5
1979 10 9646·4
1979 09 2145.9
1979 08 8645.3
1979 07 3446·3
1979 06 6745·8
1979 05 7145.4
1979 04 7345.9
1979 03 1146.6
1979 02 3945·8
1979 01 5245·8
1978 12 4046·0
1978 11 6246·0
1978 10 5046.5
1978 09 3246·7
1978 08 8746·6
1978 07 2045·3
1978 06 6346·1
1978 05 545·7
1978 04 3945.6
1978 03 3945.4
1978 02 6745·4
1978 01 9244·8
1977 12 4745.0
1977 11 343·3
1977 10 7343.5
1977 09 3543.8
1977 08 8643.5
1977 07 1842.9
1977 06 2043.3
1977 05 443·7
1977 04 5643.1
1977 03 1542·8
1977 02 7042·5
1977 01 9342.5
1976 12 8442·7
1976 11 5143.3
1976 10 1342·2
1976 09 2242.3
1976 08 1942.5
1976 07 842.4
1976 06 5942·8
1976 05 3443.1
1976 04 3643·4
1976 03 9243.8
1976 02 4842·6
1976 01 9842·6
1975 12 3742.1
1975 11 3541·8
1975 10 4241.6
1975 09 941.4
1975 08 4641·4
1975 07 9441·7
1975 06 2942.0
1975 05 8641.5
1975 04 1541·4
1975 03 5141·6
1975 02 2241.4
1975 01 7341·8
1974 12 1742·0
1974 11 1142.3
1974 10 5943·5
1974 09 4044.3
1974 08 5443·9
1974 07 743.6
1974 06 343·8
1974 05 7943.9
1974 04 5243.7
1974 03 9542·9
1974 02 4243·9
1974 01 1144.0
1973 12 5944.0
1973 11 5744.2
1973 10 8844·4
1973 09 8043.9
1973 08 5344·4
1973 07 9944·5
1973 06 7943·1
1973 05 5443·3
1973 04 3343·5
1973 03 5343·8
1973 02 7943·8
1973 01 2843.1
1972 12 2543·9
1972 11 7743.7
1972 10 7542·3
1972 09 2142.7
1972 08 7842·4
1972 07 5042.6
1972 06 8042.9
1972 05 7743.2
1972 04 6943·0
1972 03 8142·9
1972 02 3242.9
1972 01 6543.1
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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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