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2012 04 7725·7
2012 03 1523·4
2012 02 2725.1
2012 01 5324.0
2011 12 5729.2
2011 11 724·1
2011 10 7024·0
2011 09 4526·3
2011 08 1026.2
2011 07 423.9
2011 06 2026·4
2011 05 4126.2
2011 04 8625·8
2011 03 8725·6
2011 02 9124.4
2011 01 8726·5
2010 12 6123·4
2010 11 6327·0
2010 10 1927.3
2010 09 5224.3
2010 08 3427·5
2010 07 6425·9
2010 06 6824·6
2010 05 2823.7
2010 04 3125.4
2010 03 4627·5
2010 02 2626·6
2010 01 3627·6
2009 12 327·9
2009 11 9130.0
2009 10 525.9
2009 09 2026·1
2009 08 2424·5
2009 07 526.9
2009 06 4525·3
2009 05 4824·8
2009 04 9629·0
2009 03 2123·4
2009 02 627·5
2009 01 1526·9
2008 12 4427.1
2008 11 9424·9
2008 10 7831·7
2008 09 4130.4
2008 08 1830.9
2008 07 829.8
2008 06 7328·3
2008 05 6830·1
2008 04 9325·2
2008 03 6726·2
2008 02 2828·3
2008 01 6737.2
2007 12 7131.2
2007 11 429.5
2007 10 827·7
2007 09 3128.2
2007 08 7527.3
2007 07 7527·6
2007 06 030.2
2007 05 8030.7
2007 04 5731·1
2007 03 6229·7
2007 02 1731·7
2007 01 5830·1
2006 12 9329.2
2006 11 7331·5
2006 10 9632·3
2006 09 3328·3
2006 08 8132·2
2006 07 3734·4
2006 06 033·9
2006 05 133.8
2006 04 4934·0
2006 03 1234.4
2006 02 1833·1
2006 01 7928.5
2005 12 4630.1
2005 11 8035·2
2005 10 6327.8
2005 09 1329.1
2005 08 4732.7
2005 07 4832·1
2005 06 7133.6
2005 05 7233·9
2005 04 5335.2
2005 03 4634·8
2005 02 731·7
2005 01 4934·4
2004 12 9031.4
2004 11 3134.8
2004 10 5733·8
2004 09 6432.0
2004 08 833·5
2004 07 8630.9
2004 06 3629·2
2004 05 6026.0
2004 04 8224.7
2004 03 1728.6
2004 02 8024.2
2004 01 829.9
2003 12 1226·9
2003 11 5527·3
2003 10 5334·9
2003 09 132·7
2003 08 2428·8
2003 07 5731.4
2003 06 4230.4
2003 05 5831.5
2003 04 6930.6
2003 03 530·0
2003 02 6134.7
2003 01 2334.1
2002 12 2134.0
2002 11 536.4
2002 10 4737.8
2002 09 6637·0
2002 08 8235·2
2002 07 9033.0
2002 06 6438·6
2002 05 8141.4
2002 04 7639.6
2002 03 1537·6
2002 02 9840·2
2002 01 8739·8
2001 12 5439·0
2001 11 6237·4
2001 10 6338.8
2001 09 2737·3
2001 08 9137.2
2001 07 3836.1
2001 06 9836.8
2001 05 7237·0
2001 04 8837·7
2001 03 7537.7
2001 02 6439.7
2001 01 1541·8
2000 12 7040·6
2000 11 2940·3
2000 10 4937.0
2000 09 7536·2
2000 08 8838·4
2000 07 8237·8
2000 06 6841·5
2000 05 9738·4
2000 04 1638.6
2000 03 4040.2
2000 02 5642.9
2000 01 5038·3
1999 12 5639.8
1999 11 3636·9
1999 10 7841.5
1999 09 2738.3
1999 08 3236·5
1999 07 2538.0
1999 06 2237·3
1999 05 4937·0
1999 04 9636.6
1999 03 9040·6
1999 02 9939·2
1999 01 5943.1
1998 12 2240.6
1998 11 3745·3
1998 10 4841.6
1998 09 2545·5
1998 08 1040·4
1998 07 9743.3
1998 06 3342.4
1998 05 4436.5
1998 04 8737·3
1998 03 2837·9
1998 02 4037.3
1998 01 3238·7
1997 12 333·7
1997 11 1137·0
1997 10 8238.5
1997 09 3635.8
1997 08 3239.0
1997 07 5234·9
1997 06 9937·8
1997 05 2337·6
1997 04 7638·4
1997 03 8437.6
1997 02 5140.2
1997 01 8838.5
1996 12 5936·5
1996 11 6237.9
1996 10 2941·1
1996 09 5137.5
1996 08 3341·3
1996 07 6943·2
1996 06 4337.8
1996 05 5441.6
1996 04 7342.8
1996 03 1240·2
1996 02 3235.7
1996 01 6838.3
1995 12 7840.4
1995 11 2142.4
1995 10 6038·7
1995 09 8741·1
1995 08 7541·9
1995 07 5441·4
1995 06 1341·6
1995 05 2937.9
1995 04 1339.9
1995 03 9135.9
1995 02 541.6
1995 01 3938.0
1994 12 6841.0
1994 11 4142·3
1994 10 7443.0
1994 09 8639·6
1994 08 4141.1
1994 07 3441·4
1994 06 8341.8
1994 05 6439·4
1994 04 5739.4
1994 03 2639·9
1994 02 1938.4
1994 01 9242.1
1993 12 6634.8
1993 11 134·5
1993 10 9534·1
1993 09 1537·8
1993 08 4440·0
1993 07 6439·7
1993 06 5039·3
1993 05 143.9
1993 04 9144·8
1993 03 4741·5
1993 02 4542·5
1993 01 4440.4
1992 12 3341·8
1992 11 641·0
1992 10 7041·0
1992 09 6541.1
1992 08 1941·1
1992 07 2440·0
1992 06 3741·6
1992 05 638·1
1992 04 2537.2
1992 03 638·8
1992 02 8343.0
1992 01 3842·7
1991 12 5337·5
1991 11 8537·0
1991 10 7237.4
1991 09 5439·8
1991 08 2637·2
1991 07 1835·7
1991 06 9238.7
1991 05 7336·9
1991 04 9538·0
1991 03 8538.6
1991 02 5536.1
1991 01 3935·2
1990 12 3739.1
1990 11 9341·7
1990 10 040.1
1990 09 2239·1
1990 08 5039.8
1990 07 7539.7
1990 06 8939.1
1990 05 1641·6
1990 04 6241.6
1990 03 8641·9
1990 02 1041·5
1990 01 4042.6
1989 12 2147.2
1989 11 846.3
1989 10 7644·9
1989 09 3840·0
1989 08 346.7
1989 07 4948·2
1989 06 2549.6
1989 05 7941·5
1989 04 1041·3
1989 03 3941·9
1989 02 2046·5
1989 01 5843·6
1988 12 6543.4
1988 11 3644·6
1988 10 4946·1
1988 09 9344·5
1988 08 2046.0
1988 07 2046·8
1988 06 2443·8
1988 05 2846·2
1988 04 5040·7
1988 03 9938·2
1988 02 8439.9
1988 01 3443·3
1987 12 5544·6
1987 11 444·2
1987 10 9143.9
1987 09 343·2
1987 08 6149·5
1987 07 9242.6
1987 06 3340·8
1987 05 5541.4
1987 04 1842·3
1987 03 4542.1
1987 02 2442·9
1987 01 3544·3
1986 12 241·1
1986 11 6939·0
1986 10 041.8
1986 09 1042·6
1986 08 1241·0
1986 07 9543.5
1986 06 2644·9
1986 05 7748·2
1986 04 7545.8
1986 03 8146·0
1986 02 8845.2
1986 01 5344·0
1985 12 4045·5
1985 11 842.8
1985 10 146·0
1985 09 8245.1
1985 08 8445·9
1985 07 8247.0
1985 06 042.5
1985 05 3543·5
1985 04 644·6
1985 03 3643.8
1985 02 5142·8
1985 01 444·7
1984 12 3143.7
1984 11 2643·0
1984 10 3943.1
1984 09 1042·9
1984 08 1142.9
1984 07 3342.2
1984 06 7942.0
1984 05 9640·7
1984 04 2141.4
1984 03 6540.5
1984 02 939·5
1984 01 3138·0
1983 12 6138.6
1983 11 5339.9
1983 10 9038·4
1983 09 1039·2
1983 08 5642·1
1983 07 5341·8
1983 06 1143.8
1983 05 5239·4
1983 04 5638.2
1983 03 4738.6
1983 02 8538.2
1983 01 039.8
1982 12 3839·7
1982 11 4240.3
1982 10 5040·3
1982 09 2540.4
1982 08 241·1
1982 07 7038·2
1982 06 6935·4
1982 05 1939·5
1982 04 7238·9
1982 03 8640·9
1982 02 2941.8
1982 01 340.1
1981 12 041.2
1981 11 7440.5
1981 10 4338.7
1981 09 2138.4
1981 08 6140.5
1981 07 3939·8
1981 06 5039·4
1981 05 4143.5
1981 04 5545·8
1981 03 1240·7
1981 02 1243·2
1981 01 5847.3
1980 12 744·4
1980 11 5245·4
1980 10 1744·9
1980 09 9044.5
1980 08 6840·2
1980 07 3844.6
1980 06 7943·5
1980 05 8343·3
1980 04 1441.8
1980 03 7941·1
1980 02 3441.1
1980 01 442.4
1979 12 4440.2
1979 11 541.0
1979 10 4542.3
1979 09 4942·0
1979 08 8445.5
1979 07 7442.2
1979 06 243.2
1979 05 3744·6
1979 04 8544·9
1979 03 6646·3
1979 02 1646.8
1979 01 1144·2
1978 12 2244·5
1978 11 8945.7
1978 10 2543.6
1978 09 4042.7
1978 08 9443.2
1978 07 7447.9
1978 06 9344.1
1978 05 2044·4
1978 04 2945·4
1978 03 7845.7
1978 02 746.4
1978 01 6845·7
1977 12 7647.8
1977 11 8247.3
1977 10 8045.4
1977 09 3044.0
1977 08 1048.9
1977 07 9345.3
1977 06 5043.7
1977 05 7340.0
1977 04 3137·1
1977 03 4339·7
1977 02 8039.8
1977 01 9439.9
1976 12 6642.9
1976 11 8841.4
1976 10 5842·4
1976 09 941.7
1976 08 6542.5
1976 07 1039.1
1976 06 9637.0
1976 05 6540·9
1976 04 341·1
1976 03 1641·7
1976 02 3342·1
1976 01 2943·2
1975 12 8040·5
1975 11 3739.7
1975 10 3241.1
1975 09 9640.9
1975 08 2238·7
1975 07 3041·2
1975 06 7944·9
1975 05 8642·6
1975 04 7944·4
1975 03 7745·0
1975 02 8946.1
1975 01 4145·0
1974 12 2645.7
1974 11 8446.6
1974 10 048.8
1974 09 3247.5
1974 08 6544.3
1974 07 8246.2
1974 06 7345·8
1974 05 5244.6
1974 04 2044.4
1974 03 3049·7
1974 02 9748.2
1974 01 2249.8
1973 12 4146.4
1973 11 746·2
1973 10 8547.3
1973 09 8347·1
1973 08 543·5
1973 07 2145·4
1973 06 7443·0
1973 05 745·8
1973 04 1147·4
1973 03 344.9
1973 02 2846.5
1973 01 8742·8
1972 12 8547.7
1972 11 1045.9
1972 10 3544·4
1972 09 4244·2
1972 08 7848·6
1972 07 2445.6
1972 06 748·6
1972 05 1746·8
1972 04 6445.5
1972 03 5245·9
1972 02 8247.5
1972 01 8044.2
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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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