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2012 04 9061·3
2012 03 461.9
2012 02 8461.7
2012 01 1461.2
2011 12 161.8
2011 11 5661.3
2011 10 9261.8
2011 09 5062.0
2011 08 5361·6
2011 07 8260·5
2011 06 7661.0
2011 05 6061·0
2011 04 9761·5
2011 03 6361·5
2011 02 4961.5
2011 01 8861·6
2010 12 862.1
2010 11 562.4
2010 10 4862.3
2010 09 361·7
2010 08 8762·1
2010 07 4161·8
2010 06 3761.8
2010 05 9962.7
2010 04 5862·7
2010 03 2762·6
2010 02 362.1
2010 01 9562.3
2009 12 7361.9
2009 11 4462.1
2009 10 6061.8
2009 09 3661.7
2009 08 662.1
2009 07 062.7
2009 06 4562.6
2009 05 9062.8
2009 04 5863.1
2009 03 2662·4
2009 02 2163·0
2009 01 5163.2
2008 12 5563.5
2008 11 7863·1
2008 10 7663·6
2008 09 4063·7
2008 08 4764.3
2008 07 3963.7
2008 06 2463·6
2008 05 9963.8
2008 04 963.9
2008 03 1564.0
2008 02 163.7
2008 01 9964.0
2007 12 4263.4
2007 11 3763·2
2007 10 7063.3
2007 09 3363.5
2007 08 7063·6
2007 07 6263·9
2007 06 2063.5
2007 05 2063.4
2007 04 4563.7
2007 03 7263·8
2007 02 6464·2
2007 01 464.6
2006 12 4264·5
2006 11 7364.3
2006 10 3964·1
2006 09 5563.6
2006 08 6164·2
2006 07 9864.1
2006 06 963.7
2006 05 6764.2
2006 04 2864·2
2006 03 264·6
2006 02 6064·4
2006 01 5963·4
2005 12 9263·6
2005 11 6764.4
2005 10 764·5
2005 09 7564·2
2005 08 3064.6
2005 07 164.6
2005 06 8664.7
2005 05 8464.4
2005 04 4264.0
2005 03 3463·7
2005 02 6263.5
2005 01 8163·6
2004 12 5363.8
2004 11 2464.0
2004 10 2164.3
2004 09 8463·8
2004 08 1464.0
2004 07 5164·1
2004 06 7663.3
2004 05 3763·2
2004 04 9963.5
2004 03 2364·1
2004 02 6763.5
2004 01 1064.3
2003 12 1063.3
2003 11 7164.0
2003 10 5464·1
2003 09 9864·5
2003 08 7164.3
2003 07 5264·3
2003 06 2764·8
2003 05 1864.9
2003 04 3464·7
2003 03 4864.1
2003 02 9864.5
2003 01 1564·6
2002 12 7364.8
2002 11 6464·2
2002 10 564·7
2002 09 5965·0
2002 08 8964·4
2002 07 3464·1
2002 06 1164.6
2002 05 4365.3
2002 04 765.3
2002 03 1264.9
2002 02 465·0
2002 01 8765.1
2001 12 7865.2
2001 11 8264.6
2001 10 9764·9
2001 09 3465.3
2001 08 7765·2
2001 07 5065.3
2001 06 2765.4
2001 05 5565.3
2001 04 465.4
2001 03 4765·9
2001 02 5865.6
2001 01 4266·1
2000 12 8565·5
2000 11 2965·8
2000 10 7765.4
2000 09 1665·0
2000 08 7165·4
2000 07 8065.4
2000 06 9865·7
2000 05 2065·9
2000 04 3666·0
2000 03 564.7
2000 02 5765.3
2000 01 2365·3
1999 12 8165.7
1999 11 3565·9
1999 10 1966·1
1999 09 2066·4
1999 08 3165.7
1999 07 2866.0
1999 06 7165·7
1999 05 3065·6
1999 04 3765.6
1999 03 6565.5
1999 02 2665·6
1999 01 9666.2
1998 12 7565.6
1998 11 5466.0
1998 10 2166·2
1998 09 8965.6
1998 08 4465.5
1998 07 2465.8
1998 06 2065.8
1998 05 164.7
1998 04 7065·4
1998 03 3465.7
1998 02 1065·2
1998 01 5365.1
1997 12 365·0
1997 11 6464·7
1997 10 564·6
1997 09 8965·3
1997 08 1965·8
1997 07 2264.7
1997 06 4364.5
1997 05 7764.3
1997 04 1964.3
1997 03 3864·4
1997 02 8564·3
1997 01 1264·4
1996 12 2664.3
1996 11 7164.5
1996 10 2164·6
1996 09 1263·9
1996 08 9364.8
1996 07 164·5
1996 06 6263.8
1996 05 2364.2
1996 04 9463·9
1996 03 3463·8
1996 02 4863·2
1996 01 1264·0
1995 12 3063.7
1995 11 364.3
1995 10 4063·7
1995 09 7563.4
1995 08 2563·3
1995 07 6563.1
1995 06 2763·6
1995 05 3063.7
1995 04 3264.4
1995 03 063.9
1995 02 2164.3
1995 01 2263.4
1994 12 2463·0
1994 11 1663·4
1994 10 6163.8
1994 09 2063·1
1994 08 263·1
1994 07 4463.0
1994 06 963·6
1994 05 1763.4
1994 04 9263·5
1994 03 4163.7
1994 02 5463·5
1994 01 3463.3
1993 12 4462·8
1993 11 8863·3
1993 10 762·7
1993 09 1363.1
1993 08 3463.3
1993 07 9263·2
1993 06 863·1
1993 05 2563·4
1993 04 6162.9
1993 03 8563.1
1993 02 1863·9
1993 01 6363.0
1992 12 5163·6
1992 11 2363·7
1992 10 2763·9
1992 09 4764·2
1992 08 5664.9
1992 07 8864·5
1992 06 4664.5
1992 05 2064·0
1992 04 4963.5
1992 03 8763·6
1992 02 1363·6
1992 01 5363.5
1991 12 3163.1
1991 11 5162·6
1991 10 9263·2
1991 09 3863·8
1991 08 2962·8
1991 07 3763.1
1991 06 7063.2
1991 05 9563.1
1991 04 9163.8
1991 03 2764.0
1991 02 6163.4
1991 01 6863·4
1990 12 9463·7
1990 11 2663.9
1990 10 163·7
1990 09 2763·6
1990 08 3863·6
1990 07 6863.6
1990 06 5563·6
1990 05 6664.4
1990 04 4864·1
1990 03 864.5
1990 02 1064.5
1990 01 364·4
1989 12 7563.9
1989 11 2864·2
1989 10 7864·0
1989 09 8364·1
1989 08 9564·1
1989 07 3564·5
1989 06 9864.4
1989 05 7564·1
1989 04 663·4
1989 03 6064·0
1989 02 3364.5
1989 01 7264·5
1988 12 3664.4
1988 11 6164·0
1988 10 7064.0
1988 09 9663·6
1988 08 3464.0
1988 07 1864.1
1988 06 2263.0
1988 05 8863·5
1988 04 7563.6
1988 03 3863·6
1988 02 2863.8
1988 01 1964.1
1987 12 6164.2
1987 11 5364.3
1987 10 5064·4
1987 09 8363·9
1987 08 1664·6
1987 07 2064·1
1987 06 7663.6
1987 05 9863.6
1987 04 9163·1
1987 03 2063·5
1987 02 1863·6
1987 01 1063·2
1986 12 6162.9
1986 11 6063·2
1986 10 1663·4
1986 09 8663.2
1986 08 2762·5
1986 07 7263.1
1986 06 3164.0
1986 05 2264·0
1986 04 1463·9
1986 03 1163.5
1986 02 5262.9
1986 01 3663·1
1985 12 7263·3
1985 11 6163·0
1985 10 9262·8
1985 09 7262·9
1985 08 7762.6
1985 07 2762.8
1985 06 8862·8
1985 05 062.9
1985 04 2963·0
1985 03 4062.8
1985 02 362.8
1985 01 1463.0
1984 12 5463.0
1984 11 5963·0
1984 10 2562.7
1984 09 3362.3
1984 08 262·9
1984 07 6462·5
1984 06 6762.1
1984 05 161·8
1984 04 4861·5
1984 03 6261·5
1984 02 6761·8
1984 01 8761·0
1983 12 9361·2
1983 11 8561.0
1983 10 8960·8
1983 09 8561.7
1983 08 6261.8
1983 07 8961·9
1983 06 1862·1
1983 05 1561.5
1983 04 661·4
1983 03 5661·4
1983 02 7061.6
1983 01 2161·9
1982 12 061.7
1982 11 9261·4
1982 10 8161·2
1982 09 7161·2
1982 08 4361·0
1982 07 3060.8
1982 06 1460·4
1982 05 6060.8
1982 04 6360·4
1982 03 2560.8
1982 02 5761.0
1982 01 761·0
1981 12 961·0
1981 11 6061.2
1981 10 2461.2
1981 09 5760.6
1981 08 5660.3
1981 07 4160.1
1981 06 5260.5
1981 05 7761.1
1981 04 561·6
1981 03 061.1
1981 02 460.6
1981 01 6361.1
1980 12 8260.9
1980 11 9361.1
1980 10 6761.1
1980 09 3460.8
1980 08 3661·0
1980 07 261·4
1980 06 5660·7
1980 05 3461·0
1980 04 4360.8
1980 03 3460·5
1980 02 761·0
1980 01 3161.3
1979 12 361·2
1979 11 2161.1
1979 10 8361.7
1979 09 2061.3
1979 08 4361.3
1979 07 1861.6
1979 06 7361·4
1979 05 2161.0
1979 04 1161·4
1979 03 861·7
1979 02 8961.6
1979 01 7761.1
1978 12 8561·5
1978 11 9761.6
1978 10 7061·4
1978 09 5761·6
1978 08 6361.3
1978 07 1761·5
1978 06 7761·7
1978 05 5661.5
1978 04 7261·3
1978 03 2561·4
1978 02 061.2
1978 01 9361.2
1977 12 6161.2
1977 11 160.4
1977 10 5059.8
1977 09 1159·9
1977 08 760.3
1977 07 5459.3
1977 06 6660·0
1977 05 8159.5
1977 04 959·3
1977 03 1459·5
1977 02 1159.7
1977 01 9559·1
1976 12 9359·3
1976 11 3859.5
1976 10 7258·6
1976 09 7458·7
1976 08 1059.4
1976 07 858.7
1976 06 6358.9
1976 05 6258.8
1976 04 3459·5
1976 03 3059·1
1976 02 2159.0
1976 01 2658.9
1975 12 6658.5
1975 11 3658.5
1975 10 958·6
1975 09 6359·1
1975 08 3259·0
1975 07 8358·5
1975 06 1559·0
1975 05 9158.9
1975 04 8258.6
1975 03 5259·1
1975 02 5358.8
1975 01 5359.3
1974 12 9159·2
1974 11 5059·5
1974 10 5960.2
1974 09 2060·0
1974 08 6059·3
1974 07 959.6
1974 06 9759·6
1974 05 8559.9
1974 04 1459.6
1974 03 8559.5
1974 02 5460·4
1974 01 6760.9
1973 12 460·3
1973 11 5960·5
1973 10 4460.4
1973 09 1160.2
1973 08 460.3
1973 07 4060.7
1973 06 559.7
1973 05 8559.6
1973 04 1560.3
1973 03 5760·4
1973 02 9960.3
1973 01 8559.1
1972 12 6460·0
1972 11 6860.1
1972 10 1459.5
1972 09 2859.8
1972 08 9959.9
1972 07 5559.8
1972 06 6360·6
1972 05 5960.1
1972 04 9759·7
1972 03 2360.1
1972 02 8459.9
1972 01 4859.7
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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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