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2012 04 4362·8
2012 03 2763.1
2012 02 5562·8
2012 01 6062·0
2011 12 262.2
2011 11 3961.8
2011 10 3563·0
2011 09 8263·2
2011 08 5162·4
2011 07 7561.1
2011 06 4261.3
2011 05 2762.0
2011 04 4362.1
2011 03 1662·1
2011 02 8762.8
2011 01 4062·7
2010 12 5163·3
2010 11 6863·6
2010 10 963.3
2010 09 9062·7
2010 08 7863·0
2010 07 6462.7
2010 06 7162.8
2010 05 7163·3
2010 04 4763·9
2010 03 6063.1
2010 02 6063·1
2010 01 263·1
2009 12 962·7
2009 11 3863·0
2009 10 8962.6
2009 09 2863.0
2009 08 4063·0
2009 07 463·8
2009 06 9763.8
2009 05 1763·6
2009 04 4064·0
2009 03 9063.5
2009 02 4663·8
2009 01 6463·9
2008 12 3464.5
2008 11 5364·5
2008 10 2364·3
2008 09 8863·8
2008 08 7464·6
2008 07 7364.1
2008 06 4364·1
2008 05 3264.5
2008 04 3464.8
2008 03 5965.0
2008 02 4363.7
2008 01 6764.3
2007 12 1463.7
2007 11 4163·3
2007 10 8564·0
2007 09 8664·0
2007 08 4063·8
2007 07 7664.1
2007 06 5864·2
2007 05 864.0
2007 04 6363·8
2007 03 4764·2
2007 02 7464·4
2007 01 7864·8
2006 12 5765.0
2006 11 5864·6
2006 10 7264.2
2006 09 6463·6
2006 08 2464·8
2006 07 4364·2
2006 06 1464·0
2006 05 6164.0
2006 04 8864·0
2006 03 5764·4
2006 02 8864.1
2006 01 8864.2
2005 12 164.3
2005 11 8364.9
2005 10 865.2
2005 09 8964·5
2005 08 3664·4
2005 07 2764.1
2005 06 1064·5
2005 05 3464.3
2005 04 9664.1
2005 03 2063·9
2005 02 5864.1
2005 01 1564·1
2004 12 464.1
2004 11 2063·9
2004 10 3964·4
2004 09 5364·2
2004 08 1264·3
2004 07 765.0
2004 06 6863·4
2004 05 9263·5
2004 04 9564.7
2004 03 8964·8
2004 02 8164·2
2004 01 063·9
2003 12 5463.1
2003 11 9864·4
2003 10 4164·4
2003 09 7364·3
2003 08 1365.1
2003 07 8964·5
2003 06 3665.1
2003 05 2865·3
2003 04 2364·9
2003 03 4464.5
2003 02 8064·2
2003 01 1164.9
2002 12 6065·2
2002 11 7164.8
2002 10 1064.2
2002 09 9064·4
2002 08 2364·0
2002 07 163·8
2002 06 8964.0
2002 05 5964.6
2002 04 3964.5
2002 03 9063.9
2002 02 464.4
2002 01 3864·7
2001 12 5864.7
2001 11 2064.5
2001 10 7065.1
2001 09 7165.1
2001 08 5465·1
2001 07 9765·4
2001 06 2265·8
2001 05 2665.5
2001 04 2965.1
2001 03 5465·8
2001 02 2665·2
2001 01 9965·6
2000 12 864.9
2000 11 4765·1
2000 10 6864·7
2000 09 864·4
2000 08 4164.9
2000 07 5865·1
2000 06 6165·6
2000 05 9765.9
2000 04 465.6
2000 03 9366.0
2000 02 4366·2
2000 01 3566.4
1999 12 9765·7
1999 11 8366·2
1999 10 7866.0
1999 09 1766.8
1999 08 4566.2
1999 07 8766.9
1999 06 5265·9
1999 05 6265.5
1999 04 9966·3
1999 03 8465.7
1999 02 7965·5
1999 01 1465.8
1998 12 3465·5
1998 11 8265·6
1998 10 9765.4
1998 09 4164.6
1998 08 5164·8
1998 07 1365·0
1998 06 6964·5
1998 05 3963.8
1998 04 7464·3
1998 03 3365·0
1998 02 8265.1
1998 01 2664.4
1997 12 5564·6
1997 11 2363.9
1997 10 5063.8
1997 09 4764.6
1997 08 6964·7
1997 07 9164.1
1997 06 1063·5
1997 05 7063·8
1997 04 1663.8
1997 03 6863·6
1997 02 2563.6
1997 01 9063.5
1996 12 2163·5
1996 11 1163.3
1996 10 8363·3
1996 09 2662.4
1996 08 3663·0
1996 07 063.1
1996 06 9862.4
1996 05 2162.3
1996 04 3462.1
1996 03 4461.8
1996 02 661.4
1996 01 4662.4
1995 12 1762·0
1995 11 7463.0
1995 10 7162.0
1995 09 9460·7
1995 08 1160·7
1995 07 4560.7
1995 06 8060·9
1995 05 8561.3
1995 04 6561.8
1995 03 4161·3
1995 02 4761·7
1995 01 6260·9
1994 12 5560.3
1994 11 6760·7
1994 10 1060·9
1994 09 9460·9
1994 08 8161.1
1994 07 5560·6
1994 06 3161·4
1994 05 7760·9
1994 04 6861·2
1994 03 6161.7
1994 02 9861.0
1994 01 2960·5
1993 12 6861.1
1993 11 6960·9
1993 10 2460.5
1993 09 9360.3
1993 08 5560·1
1993 07 8359.8
1993 06 4760.2
1993 05 4060·2
1993 04 3060.1
1993 03 3659·7
1993 02 3060.6
1993 01 6359.4
1992 12 1860·7
1992 11 8560·5
1992 10 6161.0
1992 09 8261·0
1992 08 7061.9
1992 07 1061.6
1992 06 5361·3
1992 05 4160.8
1992 04 6160·3
1992 03 1960·2
1992 02 4360.0
1992 01 860.0
1991 12 9159·9
1991 11 4359·2
1991 10 9460.0
1991 09 7960·7
1991 08 8660.0
1991 07 3959·6
1991 06 9559·9
1991 05 7160·4
1991 04 9660.3
1991 03 8959.9
1991 02 5859·6
1991 01 3060·0
1990 12 9759·9
1990 11 9960·1
1990 10 2259·9
1990 09 2459·8
1990 08 8859.9
1990 07 160.0
1990 06 4860.1
1990 05 4761·5
1990 04 9660.9
1990 03 5161.3
1990 02 2561.7
1990 01 1961·4
1989 12 7160.0
1989 11 3160.6
1989 10 6660.3
1989 09 8460.4
1989 08 8860·5
1989 07 4860.8
1989 06 960·8
1989 05 1160·5
1989 04 4759.8
1989 03 3460·6
1989 02 1661·0
1989 01 9561·0
1988 12 7461·1
1988 11 4460·6
1988 10 7660.4
1988 09 5359.8
1988 08 2060.0
1988 07 6160.9
1988 06 159.0
1988 05 3059·3
1988 04 5959.8
1988 03 9260·0
1988 02 2959·9
1988 01 9760.6
1987 12 9260·7
1987 11 6760.6
1987 10 2460.8
1987 09 4559·9
1987 08 4560.5
1987 07 4460·3
1987 06 7359.8
1987 05 9659.5
1987 04 6859·1
1987 03 459.6
1987 02 8859.6
1987 01 9359.1
1986 12 3658.6
1986 11 5559·2
1986 10 859·0
1986 09 458·9
1986 08 4958.7
1986 07 2658.6
1986 06 9659·1
1986 05 2559·5
1986 04 3459.4
1986 03 7658.7
1986 02 4058.4
1986 01 7458.2
1985 12 4059·0
1985 11 8558·7
1985 10 5258·0
1985 09 9658.4
1985 08 4258.3
1985 07 6258·3
1985 06 7059·0
1985 05 5958.5
1985 04 4259.0
1985 03 3658·7
1985 02 5858·3
1985 01 5858·9
1984 12 6558·5
1984 11 6458.8
1984 10 357.9
1984 09 1257·6
1984 08 6058·4
1984 07 3057.7
1984 06 1857·5
1984 05 6557.6
1984 04 457·0
1984 03 3856.9
1984 02 4156·6
1984 01 8656.1
1983 12 9756.3
1983 11 2155·9
1983 10 3556.2
1983 09 7057.1
1983 08 6356·7
1983 07 3556.9
1983 06 8756·7
1983 05 3556.9
1983 04 5556·8
1983 03 6257.4
1983 02 1157.6
1983 01 2657.5
1982 12 4656.8
1982 11 856.2
1982 10 4556·4
1982 09 1156·3
1982 08 3856.3
1982 07 656.3
1982 06 5156·3
1982 05 8556.0
1982 04 5555.8
1982 03 1255·9
1982 02 1755.8
1982 01 6856.4
1981 12 4856.3
1981 11 756·8
1981 10 5656·3
1981 09 255·8
1981 08 9355.7
1981 07 9855·6
1981 06 756.0
1981 05 5855·6
1981 04 9056.7
1981 03 1756·1
1981 02 3155.7
1981 01 2955.9
1980 12 6456·1
1980 11 2056·3
1980 10 1756.1
1980 09 3555.1
1980 08 6655·9
1980 07 9055.9
1980 06 7855.1
1980 05 2055·9
1980 04 7155.6
1980 03 3255·0
1980 02 5255·3
1980 01 5255.5
1979 12 7955·4
1979 11 7855.5
1979 10 155.8
1979 09 2755·2
1979 08 1655·2
1979 07 8655·5
1979 06 1455·4
1979 05 6355·0
1979 04 3255·2
1979 03 3655.9
1979 02 355.3
1979 01 455.1
1978 12 355·2
1978 11 3555·3
1978 10 655·7
1978 09 1956.0
1978 08 2955.8
1978 07 1555.3
1978 06 8655·9
1978 05 355.6
1978 04 3555.3
1978 03 3355·3
1978 02 3155.2
1978 01 7554.9
1977 12 7255·4
1977 11 7054·1
1977 10 5453·6
1977 09 7954.2
1977 08 1653.6
1977 07 3352·7
1977 06 9353.2
1977 05 8353·8
1977 04 6653.3
1977 03 5353.1
1977 02 1053.3
1977 01 8352.3
1976 12 4752.7
1976 11 8752·8
1976 10 9452·0
1976 09 9751.9
1976 08 1252·5
1976 07 1752.4
1976 06 5752.6
1976 05 7052.2
1976 04 3453·1
1976 03 4953·0
1976 02 3852.5
1976 01 7052.1
1975 12 1451·1
1975 11 1651·1
1975 10 9951·0
1975 09 9151·0
1975 08 7751.1
1975 07 7350.7
1975 06 2851.5
1975 05 5451.2
1975 04 7550.9
1975 03 251.5
1975 02 3850.8
1975 01 251·0
1974 12 8251·1
1974 11 1051·2
1974 10 6751·8
1974 09 352.2
1974 08 9851.6
1974 07 2951.8
1974 06 7751·0
1974 05 5451.6
1974 04 5051.3
1974 03 1549·9
1974 02 5751·4
1974 01 7151·7
1973 12 8751·8
1973 11 5052·0
1973 10 2051.8
1973 09 051.7
1973 08 8552.2
1973 07 4052·4
1973 06 350.6
1973 05 1050·9
1973 04 4451.4
1973 03 1851·8
1973 02 7051.8
1973 01 9451.0
1972 12 9051.5
1972 11 3951.8
1972 10 850·9
1972 09 7351.0
1972 08 7350·6
1972 07 8650·7
1972 06 3051·7
1972 05 8951·6
1972 04 6850.7
1972 03 6551.1
1972 02 7450.9
1972 01 1351·2
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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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