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2012 04 7559.7
2012 03 1559.9
2012 02 4459·5
2012 01 9058.5
2011 12 558.6
2011 11 4158·9
2011 10 5659·8
2011 09 3560·3
2011 08 4559.6
2011 07 1059·0
2011 06 1359·0
2011 05 2358·7
2011 04 4658.8
2011 03 258.5
2011 02 2759·0
2011 01 9759·1
2010 12 8259·6
2010 11 2560·4
2010 10 3660·0
2010 09 2659.5
2010 08 5560.0
2010 07 1060·6
2010 06 460·1
2010 05 660·2
2010 04 9060·2
2010 03 1459·4
2010 02 1859·3
2010 01 5459·7
2009 12 3659.1
2009 11 1859·7
2009 10 9159.3
2009 09 1659.9
2009 08 7160.1
2009 07 2962·2
2009 06 6161.5
2009 05 5960.5
2009 04 9260·5
2009 03 7960.0
2009 02 9160.1
2009 01 8060·6
2008 12 2760.8
2008 11 2461·0
2008 10 6961.0
2008 09 9560.9
2008 08 2661·8
2008 07 4662·2
2008 06 761·6
2008 05 5161.5
2008 04 6461·8
2008 03 5261.8
2008 02 4460·5
2008 01 1560·7
2007 12 4160.7
2007 11 7360·3
2007 10 4261.1
2007 09 8261.0
2007 08 8360·7
2007 07 6662.2
2007 06 9062.1
2007 05 7160·9
2007 04 4060·9
2007 03 1361.1
2007 02 061·0
2007 01 2761·5
2006 12 8762·3
2006 11 2061·9
2006 10 1062.0
2006 09 1861.3
2006 08 2662.1
2006 07 1862·7
2006 06 8462·2
2006 05 3861.3
2006 04 8161·2
2006 03 6561.8
2006 02 861·3
2006 01 760.9
2005 12 261·5
2005 11 4362.1
2005 10 9662·6
2005 09 6961·7
2005 08 6661.7
2005 07 5762·5
2005 06 8562.5
2005 05 9361·5
2005 04 7261·1
2005 03 3960·9
2005 02 3960·4
2005 01 7360·6
2004 12 4661·3
2004 11 4661·2
2004 10 4662.1
2004 09 2861·4
2004 08 3861.8
2004 07 6063·2
2004 06 1861·6
2004 05 361·0
2004 04 2561.7
2004 03 8861.6
2004 02 9360·9
2004 01 6660.5
2003 12 560·6
2003 11 6061.7
2003 10 3561·7
2003 09 1262·0
2003 08 462·5
2003 07 3462.6
2003 06 3063·3
2003 05 5962.7
2003 04 7462.2
2003 03 9161.6
2003 02 9260·9
2003 01 5361·3
2002 12 8963·0
2002 11 3862.3
2002 10 6061·8
2002 09 6162.0
2002 08 4961·7
2002 07 661.8
2002 06 9562·2
2002 05 7961·7
2002 04 8062.1
2002 03 5361.1
2002 02 8561·3
2002 01 2560·9
2001 12 3362·3
2001 11 5962.4
2001 10 4462.8
2001 09 4362·4
2001 08 8362.6
2001 07 3263.4
2001 06 964.1
2001 05 363.1
2001 04 2962·8
2001 03 363·3
2001 02 4462·3
2001 01 9962·3
2000 12 9963.0
2000 11 2963·4
2000 10 3662.8
2000 09 5062.4
2000 08 4163.0
2000 07 9163.4
2000 06 9763·5
2000 05 063.5
2000 04 3263·1
2000 03 9663·3
2000 02 6763·1
2000 01 1863·0
1999 12 7163.4
1999 11 7663.8
1999 10 863·4
1999 09 9964.2
1999 08 8564·0
1999 07 8765·1
1999 06 763.8
1999 05 6162.9
1999 04 2363.4
1999 03 1163.2
1999 02 7862.6
1999 01 4862.8
1998 12 6163·6
1998 11 5463·4
1998 10 5863·3
1998 09 3062·6
1998 08 063·2
1998 07 4963.4
1998 06 1163·1
1998 05 161·7
1998 04 6462.0
1998 03 5162·8
1998 02 2462·3
1998 01 8161·7
1997 12 462.7
1997 11 4361.8
1997 10 1161·6
1997 09 1262·3
1997 08 9662.9
1997 07 3162.7
1997 06 861·4
1997 05 6561·2
1997 04 4061.0
1997 03 4761·4
1997 02 7960·9
1997 01 3360·9
1996 12 6161.3
1996 11 4760·9
1996 10 1361.3
1996 09 3660.2
1996 08 961.3
1996 07 1461·6
1996 06 2060·8
1996 05 1760·1
1996 04 6159·6
1996 03 5359·4
1996 02 4158·5
1996 01 4759·8
1995 12 1660·2
1995 11 9661·2
1995 10 3760·4
1995 09 1859·1
1995 08 059·4
1995 07 060·1
1995 06 9659.8
1995 05 5158·9
1995 04 6359.2
1995 03 4758.8
1995 02 3258.7
1995 01 8958·0
1994 12 8157.8
1994 11 4358.6
1994 10 8259·3
1994 09 158.6
1994 08 5459·3
1994 07 2059.8
1994 06 960·0
1994 05 8257·9
1994 04 758·4
1994 03 3558.8
1994 02 158.0
1994 01 5058·3
1993 12 9158·6
1993 11 6958.8
1993 10 7158·3
1993 09 5157.9
1993 08 8158.5
1993 07 2859·2
1993 06 5758·7
1993 05 5357·4
1993 04 7856.8
1993 03 4556.5
1993 02 2157·5
1993 01 4957·0
1992 12 758·4
1992 11 7658.4
1992 10 5258.6
1992 09 6058.8
1992 08 1860.5
1992 07 360·9
1992 06 6260.0
1992 05 3058·0
1992 04 8657.1
1992 03 3357.0
1992 02 8956.9
1992 01 2657·2
1991 12 1357·3
1991 11 9657.0
1991 10 9757·6
1991 09 4558·1
1991 08 2457.8
1991 07 5058.7
1991 06 7358·0
1991 05 557·3
1991 04 6857.2
1991 03 7657.4
1991 02 3056·5
1991 01 4957.5
1990 12 2257·6
1990 11 8158.3
1990 10 557.9
1990 09 4857.5
1990 08 8558·3
1990 07 9759.0
1990 06 6358·6
1990 05 9558.7
1990 04 8457.9
1990 03 8058.7
1990 02 9058·6
1990 01 958.7
1989 12 6858.4
1989 11 1159·2
1989 10 058.7
1989 09 3558.8
1989 08 1359.0
1989 07 9960·4
1989 06 3059.4
1989 05 4158.1
1989 04 1956.9
1989 03 7357·8
1989 02 4358·3
1989 01 2358.4
1988 12 1259.1
1988 11 9158.9
1988 10 2858.4
1988 09 9857.8
1988 08 4158.5
1988 07 3560·1
1988 06 9757·3
1988 05 1256.5
1988 04 8456.4
1988 03 1057.3
1988 02 8757·4
1988 01 3257.8
1987 12 3958.9
1987 11 5059.0
1987 10 6359.4
1987 09 5558.2
1987 08 3259·1
1987 07 1059·4
1987 06 1258.2
1987 05 9756·9
1987 04 1456·1
1987 03 7156.9
1987 02 4657.2
1987 01 556·2
1986 12 6056.5
1986 11 4257·2
1986 10 357·5
1986 09 4657·1
1986 08 7057.2
1986 07 5257.8
1986 06 4858.1
1986 05 1557·0
1986 04 7056.9
1986 03 6056.4
1986 02 6655.8
1986 01 3155.6
1985 12 1056·7
1985 11 4656.6
1985 10 7256·4
1985 09 3956·4
1985 08 6656·9
1985 07 1758·0
1985 06 357.2
1985 05 756·4
1985 04 3856.1
1985 03 556·0
1985 02 2155·6
1985 01 2955.8
1984 12 5156·0
1984 11 6756·4
1984 10 1656.2
1984 09 2555·9
1984 08 5557.4
1984 07 8357.3
1984 06 055·9
1984 05 3954.5
1984 04 2753·7
1984 03 6253.5
1984 02 1053.4
1984 01 4052.5
1983 12 6753.5
1983 11 3353.2
1983 10 1054.1
1983 09 2255·1
1983 08 9955.6
1983 07 5556·0
1983 06 8755·2
1983 05 453·8
1983 04 7553.1
1983 03 953.7
1983 02 5553.7
1983 01 3053.6
1982 12 6953.9
1982 11 053·6
1982 10 5154.4
1982 09 7054.5
1982 08 8255·3
1982 07 6255·5
1982 06 3854.2
1982 05 1852·9
1982 04 4051.7
1982 03 5052.6
1982 02 452.4
1982 01 9252·9
1981 12 9353·4
1981 11 4754.2
1981 10 6254·6
1981 09 3853.6
1981 08 1654·0
1981 07 5854·6
1981 06 5054.2
1981 05 2352·3
1981 04 953·0
1981 03 1652·8
1981 02 3152.3
1981 01 4352.6
1980 12 9953.1
1980 11 7753·5
1980 10 9253.8
1980 09 1652.8
1980 08 3554.2
1980 07 2355·2
1980 06 4753.7
1980 05 8652.6
1980 04 9351·7
1980 03 6151·8
1980 02 3352·3
1980 01 2352.5
1979 12 7353.2
1979 11 2153.3
1979 10 1353.8
1979 09 2152.8
1979 08 053.5
1979 07 6154.8
1979 06 7553·9
1979 05 9951·7
1979 04 2652·3
1979 03 6352.5
1979 02 3352.7
1979 01 152·0
1978 12 2552·9
1978 11 3253.4
1978 10 2353.6
1978 09 9653·9
1978 08 9754·7
1978 07 154.9
1978 06 1054.8
1978 05 7852·3
1978 04 6951.9
1978 03 2752.2
1978 02 8051.7
1978 01 6751·5
1977 12 9152·4
1977 11 9051.6
1977 10 4651.1
1977 09 751.7
1977 08 3752·0
1977 07 9851·7
1977 06 4851.9
1977 05 6649·8
1977 04 949.7
1977 03 8249·5
1977 02 4649·4
1977 01 3948.8
1976 12 3149.3
1976 11 9950·4
1976 10 3049.2
1976 09 4549.1
1976 08 5451·1
1976 07 3151·3
1976 06 1250.8
1976 05 2948·7
1976 04 5449·9
1976 03 8350·2
1976 02 3049·1
1976 01 5848.9
1975 12 3148·6
1975 11 8848.9
1975 10 4748·9
1975 09 2848·9
1975 08 1049·8
1975 07 350·1
1975 06 5150.0
1975 05 5848.1
1975 04 4247.8
1975 03 948.5
1975 02 5447.7
1975 01 9247·8
1974 12 248·2
1974 11 1248·9
1974 10 9649·7
1974 09 9849.6
1974 08 9049·8
1974 07 4551·2
1974 06 3749·8
1974 05 7148·4
1974 04 3347.9
1974 03 6447.7
1974 02 6748.0
1974 01 3148·4
1973 12 7949·1
1973 11 5049.9
1973 10 9949·6
1973 09 2149·5
1973 08 550·7
1973 07 1151·9
1973 06 7049·9
1973 05 1047·5
1973 04 1148.3
1973 03 7748·7
1973 02 4248·6
1973 01 9347·5
1972 12 2248·8
1972 11 649.5
1972 10 548.7
1972 09 8848·4
1972 08 8949·1
1972 07 8050·1
1972 06 7050·1
1972 05 4147·7
1972 04 8847.4
1972 03 448.3
1972 02 7747·7
1972 01 1948·2
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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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