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2012 04 8056·1
2012 03 1355.4
2012 02 1855.0
2012 01 4654·2
2011 12 7753·5
2011 11 8753.7
2011 10 5855.0
2011 09 154.8
2011 08 854.1
2011 07 2752·9
2011 06 6852·9
2011 05 2353·7
2011 04 2553.7
2011 03 1754·3
2011 02 6054.7
2011 01 5754·7
2010 12 255.1
2010 11 6255.1
2010 10 7355·0
2010 09 7154.8
2010 08 4154·7
2010 07 9454·7
2010 06 7055·5
2010 05 6155·5
2010 04 6755·1
2010 03 7055·1
2010 02 3755.4
2010 01 4454·7
2009 12 2954·6
2009 11 7255·5
2009 10 8954·7
2009 09 6555·1
2009 08 455·6
2009 07 556·3
2009 06 6256·4
2009 05 9456·4
2009 04 9256.8
2009 03 256.9
2009 02 2157.2
2009 01 2457.9
2008 12 1858.8
2008 11 2058.5
2008 10 5258.5
2008 09 7458·0
2008 08 3358·8
2008 07 3959·3
2008 06 6959.3
2008 05 8959.3
2008 04 1260.0
2008 03 6859.9
2008 02 959·5
2008 01 3859·5
2007 12 5559.2
2007 11 3658.9
2007 10 3659.4
2007 09 1559·7
2007 08 8859·8
2007 07 159·8
2007 06 3860·0
2007 05 3959·8
2007 04 6159.9
2007 03 4560.1
2007 02 2660·3
2007 01 5560·5
2006 12 4960.1
2006 11 7460.0
2006 10 4059·8
2006 09 3058.9
2006 08 5460·2
2006 07 2059·3
2006 06 4259.1
2006 05 6159·5
2006 04 058·9
2006 03 3959.4
2006 02 1959·1
2006 01 6459·0
2005 12 3758·9
2005 11 1459·2
2005 10 8660.2
2005 09 8659·4
2005 08 4259·1
2005 07 5059·0
2005 06 7958·8
2005 05 9558·9
2005 04 1458.4
2005 03 8058.1
2005 02 6158·3
2005 01 8458·4
2004 12 7958·4
2004 11 5958·2
2004 10 2258.6
2004 09 7458.5
2004 08 8858.6
2004 07 7159.1
2004 06 7257.8
2004 05 957.9
2004 04 1559·1
2004 03 2058.8
2004 02 5158·6
2004 01 5658·1
2003 12 6157.3
2003 11 4058.7
2003 10 2158.0
2003 09 1258.4
2003 08 5258·7
2003 07 8658·4
2003 06 7058·9
2003 05 9459·8
2003 04 3759·0
2003 03 4058.9
2003 02 1158.3
2003 01 4759·3
2002 12 9359.1
2002 11 959·0
2002 10 8158.9
2002 09 4159.1
2002 08 1958·6
2002 07 2558.2
2002 06 4558.5
2002 05 6858.4
2002 04 4258.5
2002 03 4458·2
2002 02 8958.9
2002 01 4959·1
2001 12 1059.3
2001 11 4859.1
2001 10 2659.6
2001 09 2759·9
2001 08 160.5
2001 07 4361.3
2001 06 9561.4
2001 05 7261.4
2001 04 1461.5
2001 03 6161.7
2001 02 5861.3
2001 01 7860.9
2000 12 7461·3
2000 11 5961.2
2000 10 361.0
2000 09 6360·6
2000 08 3360.8
2000 07 1860.8
2000 06 4461.3
2000 05 7361·6
2000 04 6461·7
2000 03 4661.9
2000 02 1761.8
2000 01 7661.8
1999 12 7061·2
1999 11 7362.0
1999 10 8661·9
1999 09 6662·2
1999 08 7561.6
1999 07 5661.7
1999 06 3961.5
1999 05 6361·5
1999 04 2961·7
1999 03 7760.9
1999 02 8860.8
1999 01 1061·5
1998 12 860·9
1998 11 4360.7
1998 10 7260·3
1998 09 7759·5
1998 08 1259.9
1998 07 8559·9
1998 06 5459·4
1998 05 5858.6
1998 04 6858·9
1998 03 5959·7
1998 02 2059·8
1998 01 7259·2
1997 12 2459.3
1997 11 4958·6
1997 10 8558·5
1997 09 6359.2
1997 08 5759.3
1997 07 5958·7
1997 06 8657.8
1997 05 158·1
1997 04 6658.2
1997 03 2257·8
1997 02 8657.4
1997 01 7957·6
1996 12 7857·4
1996 11 9557.7
1996 10 7257.7
1996 09 1657·1
1996 08 4357·3
1996 07 5857·5
1996 06 5957.1
1996 05 5757·2
1996 04 3556·8
1996 03 2056.7
1996 02 8356.7
1996 01 7256.7
1995 12 5757·2
1995 11 1058·1
1995 10 756.5
1995 09 5355.1
1995 08 3255.4
1995 07 8755.3
1995 06 2055·6
1995 05 2056.4
1995 04 1156·0
1995 03 3155·8
1995 02 3556·2
1995 01 1855·6
1994 12 7055.1
1994 11 4955.1
1994 10 8855.3
1994 09 1555·4
1994 08 855·4
1994 07 7455.6
1994 06 4455.5
1994 05 654.8
1994 04 5354.8
1994 03 6154·6
1994 02 8954.4
1994 01 953·5
1993 12 5354·9
1993 11 9254.8
1993 10 3854.4
1993 09 6954.1
1993 08 8453.7
1993 07 7353.3
1993 06 2753.6
1993 05 5653·8
1993 04 4753.5
1993 03 3853·4
1993 02 1953·7
1993 01 6252.2
1992 12 6653.4
1992 11 4153.2
1992 10 453·9
1992 09 854.3
1992 08 9354.5
1992 07 6554.2
1992 06 9253·7
1992 05 3753.3
1992 04 353.1
1992 03 1753·3
1992 02 2353·1
1992 01 1953.2
1991 12 9653.3
1991 11 2752·5
1991 10 6052.6
1991 09 4754·3
1991 08 9853·7
1991 07 5353.9
1991 06 8953·6
1991 05 4153.7
1991 04 5854.0
1991 03 7753.7
1991 02 2453·6
1991 01 4654·0
1990 12 5353·7
1990 11 454.1
1990 10 453·9
1990 09 2953·7
1990 08 8254·0
1990 07 6754.3
1990 06 9054·8
1990 05 8655.8
1990 04 7255·2
1990 03 2255.5
1990 02 7055.7
1990 01 3555·6
1989 12 7254.2
1989 11 5154.5
1989 10 5854.3
1989 09 2054.6
1989 08 5854.7
1989 07 6154·8
1989 06 9254.5
1989 05 1254.7
1989 04 3054.4
1989 03 8254·8
1989 02 3454.7
1989 01 354·7
1988 12 1355·0
1988 11 7354·8
1988 10 7254·5
1988 09 1354.0
1988 08 5953.9
1988 07 1454·6
1988 06 1952·8
1988 05 8652·9
1988 04 4353.1
1988 03 1253.3
1988 02 1453.6
1988 01 9254.0
1987 12 6454.2
1987 11 9854.1
1987 10 1854.0
1987 09 2452.8
1987 08 4853.5
1987 07 3053·4
1987 06 2053·0
1987 05 152·6
1987 04 4652·3
1987 03 8951·9
1987 02 3352.1
1987 01 6851.7
1986 12 3351.5
1986 11 8251·7
1986 10 9451·7
1986 09 9451.6
1986 08 951.3
1986 07 4051·5
1986 06 6651·5
1986 05 7351·9
1986 04 052.0
1986 03 1951·5
1986 02 3851·2
1986 01 2451·2
1985 12 5651.6
1985 11 350·6
1985 10 2350·9
1985 09 9150·6
1985 08 5350·7
1985 07 9650.6
1985 06 5751·5
1985 05 4450·7
1985 04 9151.3
1985 03 3251.0
1985 02 450.4
1985 01 7651·2
1984 12 9550·9
1984 11 6550·9
1984 10 5350·1
1984 09 750.5
1984 08 1650.4
1984 07 7949·7
1984 06 1550·1
1984 05 8149·9
1984 04 2849.3
1984 03 8049·0
1984 02 2948.6
1984 01 6647.7
1983 12 3447·3
1983 11 9947.5
1983 10 5747·4
1983 09 5848.1
1983 08 5747.5
1983 07 9347.8
1983 06 8846.8
1983 05 7547·3
1983 04 4947.1
1983 03 4447·3
1983 02 3447.9
1983 01 6147·1
1982 12 8447·3
1982 11 5846·9
1982 10 3447·2
1982 09 8647·5
1982 08 6347.7
1982 07 6747·5
1982 06 4947·7
1982 05 4347·5
1982 04 1247·2
1982 03 2747.5
1982 02 6947.8
1982 01 5248.7
1981 12 8148.3
1981 11 2149.1
1981 10 548·5
1981 09 5848.0
1981 08 4548·0
1981 07 5548·3
1981 06 9748.4
1981 05 2848.3
1981 04 449·5
1981 03 6048.6
1981 02 648.5
1981 01 5748·8
1980 12 8548.6
1980 11 9448.8
1980 10 2148·8
1980 09 6549.1
1980 08 3749.4
1980 07 3749.0
1980 06 5448.6
1980 05 9549.1
1980 04 3649.0
1980 03 9649.0
1980 02 4349·6
1980 01 1749.7
1979 12 8249.7
1979 11 449·8
1979 10 5249·8
1979 09 2549·3
1979 08 148.9
1979 07 1649.5
1979 06 6849·2
1979 05 3749·0
1979 04 4249·0
1979 03 1549·9
1979 02 448.9
1979 01 9948·8
1978 12 8249.2
1978 11 749·2
1978 10 9849·8
1978 09 7950.0
1978 08 2149.8
1978 07 2348·6
1978 06 1349.4
1978 05 7149·2
1978 04 8449.2
1978 03 2149.0
1978 02 3749·1
1978 01 9448.5
1977 12 2148.7
1977 11 8246·9
1977 10 8247.0
1977 09 9447·5
1977 08 847.0
1977 07 1246.6
1977 06 8646.8
1977 05 3847.5
1977 04 4646·6
1977 03 4346·5
1977 02 1346.1
1977 01 2146.0
1976 12 5946.4
1976 11 3246.9
1976 10 5145.8
1976 09 6245·8
1976 08 9946.1
1976 07 6146·0
1976 06 1146·5
1976 05 546·7
1976 04 4047.0
1976 03 3647·2
1976 02 3345.9
1976 01 1945.9
1975 12 8345·3
1975 11 8845.1
1975 10 7844·7
1975 09 9944.6
1975 08 5344.6
1975 07 7544.9
1975 06 3645·2
1975 05 6344.7
1975 04 144·6
1975 03 7945.1
1975 02 1844.7
1975 01 5745·2
1974 12 245.5
1974 11 445·8
1974 10 6346·8
1974 09 4847.6
1974 08 5647.3
1974 07 8447.3
1974 06 3346.9
1974 05 3147·4
1974 04 8947.1
1974 03 7546·2
1974 02 1647.2
1974 01 2547.4
1973 12 5247.4
1973 11 5947·4
1973 10 2647.9
1973 09 7547.4
1973 08 1947.8
1973 07 4247.8
1973 06 146.0
1973 05 4946.7
1973 04 9146·8
1973 03 5647.1
1973 02 247.2
1973 01 4246·6
1972 12 9347·6
1972 11 5747·3
1972 10 1845.9
1972 09 7246.2
1972 08 7645·9
1972 07 2746.2
1972 06 6246·7
1972 05 8446·9
1972 04 1646·6
1972 03 7446·3
1972 02 7246·4
1972 01 4746·4
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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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