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2012 04 5059.5
2012 03 8659·3
2012 02 9359·4
2012 01 3059.3
2011 12 7959·3
2011 11 2559·1
2011 10 5759.3
2011 09 9158.9
2011 08 2458.9
2011 07 1358·6
2011 06 7258.7
2011 05 158.5
2011 04 3758.7
2011 03 3158·8
2011 02 5058.3
2011 01 359·0
2010 12 9158·3
2010 11 8658.4
2010 10 3158·5
2010 09 6859.1
2010 08 8859·1
2010 07 859·3
2010 06 7559.0
2010 05 8859·5
2010 04 5259.2
2010 03 5659·4
2010 02 7359·5
2010 01 8459.3
2009 12 3558·5
2009 11 1159·3
2009 10 3558·9
2009 09 9959·1
2009 08 1258·7
2009 07 7960.0
2009 06 159.8
2009 05 359·8
2009 04 8360.8
2009 03 9260·3
2009 02 3360.5
2009 01 8961.1
2008 12 7361·5
2008 11 661.8
2008 10 1962·2
2008 09 7763·0
2008 08 3363·1
2008 07 463·4
2008 06 7263·7
2008 05 1164·4
2008 04 3964.0
2008 03 9263.9
2008 02 3064·4
2008 01 6064·4
2007 12 9064.2
2007 11 164·7
2007 10 5564·7
2007 09 1964·8
2007 08 1265·2
2007 07 8864.7
2007 06 3764·7
2007 05 564.7
2007 04 5565·1
2007 03 3565·5
2007 02 8665.3
2007 01 6465·6
2006 12 9565·7
2006 11 4965·2
2006 10 4265.3
2006 09 6564.4
2006 08 3364·5
2006 07 6065·0
2006 06 6765.6
2006 05 265.3
2006 04 9365·2
2006 03 2765·1
2006 02 5065·2
2006 01 9365.2
2005 12 2664·2
2005 11 2964·2
2005 10 264·0
2005 09 8463·7
2005 08 764·1
2005 07 7564.2
2005 06 6364·1
2005 05 4264.1
2005 04 3763.8
2005 03 9564·0
2005 02 9463.5
2005 01 6463.4
2004 12 4163·7
2004 11 4763·8
2004 10 8464.1
2004 09 6664.0
2004 08 7064.2
2004 07 1164·3
2004 06 4564·2
2004 05 9464·1
2004 04 9963·6
2004 03 9663.4
2004 02 1662.6
2004 01 1763.3
2003 12 2863·2
2003 11 3163·0
2003 10 6062.8
2003 09 2962.9
2003 08 8362.6
2003 07 7462.4
2003 06 6462.8
2003 05 4962·8
2003 04 1463.7
2003 03 763.3
2003 02 4063·6
2003 01 2163.7
2002 12 9663.2
2002 11 3563·5
2002 10 2863.4
2002 09 1464·1
2002 08 3063.9
2002 07 9264·2
2002 06 9063.9
2002 05 2364.1
2002 04 4263.9
2002 03 3363.9
2002 02 1464·6
2002 01 6664.0
2001 12 8164·0
2001 11 4064.1
2001 10 1364.7
2001 09 8864·5
2001 08 2364·7
2001 07 1964.8
2001 06 2464.1
2001 05 5865·0
2001 04 6965·5
2001 03 366·0
2001 02 1065·8
2001 01 7065.9
2000 12 4465·9
2000 11 4865.6
2000 10 6165·8
2000 09 4465·7
2000 08 9865·2
2000 07 3664·9
2000 06 8765.9
2000 05 2265.7
2000 04 666·0
2000 03 7265·8
2000 02 2766·0
2000 01 7566·3
1999 12 6964.1
1999 11 9063.8
1999 10 4563·3
1999 09 9763.1
1999 08 1363.5
1999 07 4563·2
1999 06 2863·2
1999 05 663·0
1999 04 8862.8
1999 03 2063.9
1999 02 8863.3
1999 01 4763.3
1998 12 6962·5
1998 11 2062·8
1998 10 6463·0
1998 09 8963.3
1998 08 5662·7
1998 07 7762·9
1998 06 1963.2
1998 05 2763·9
1998 04 7563·6
1998 03 4963.5
1998 02 4163.0
1998 01 7862·7
1997 12 7762·9
1997 11 1763.3
1997 10 4262.7
1997 09 8862·7
1997 08 3663·4
1997 07 8662.9
1997 06 6062.8
1997 05 2662.5
1997 04 5461·5
1997 03 9062·0
1997 02 5862·2
1997 01 8562·7
1996 12 5562.5
1996 11 8562.5
1996 10 2461·9
1996 09 8561.3
1996 08 9060.9
1996 07 5260·2
1996 06 7259·9
1996 05 7059.4
1996 04 3559.3
1996 03 9759·5
1996 02 3859.9
1996 01 1059·7
1995 12 8959·5
1995 11 5459.5
1995 10 8660·1
1995 09 9760·4
1995 08 7859.7
1995 07 7760.3
1995 06 460.0
1995 05 5259·4
1995 04 5260.0
1995 03 5059.6
1995 02 459.5
1995 01 1958·9
1994 12 8859.7
1994 11 7860.8
1994 10 2560.2
1994 09 6659.1
1994 08 8459.2
1994 07 9359·3
1994 06 2959·1
1994 05 8860.1
1994 04 6859.1
1994 03 5159.6
1994 02 459.3
1994 01 458.8
1993 12 8859.4
1993 11 3659·3
1993 10 6459.0
1993 09 5859.2
1993 08 2159·3
1993 07 5258·9
1993 06 4559·1
1993 05 1959.1
1993 04 6758.7
1993 03 3258.9
1993 02 1258·9
1993 01 8259·1
1992 12 5159.0
1992 11 3258.5
1992 10 5158·8
1992 09 6558·9
1992 08 2359·0
1992 07 3559.1
1992 06 7559.0
1992 05 1359.2
1992 04 6059.4
1992 03 4659.5
1992 02 2459.3
1992 01 9559·4
1991 12 6159.4
1991 11 9759.7
1991 10 5859·7
1991 09 559.2
1991 08 5159.5
1991 07 4560·4
1991 06 6859·7
1991 05 6259.6
1991 04 8260·1
1991 03 7259.4
1991 02 6460·2
1991 01 1060.7
1990 12 2860.0
1990 11 8360.8
1990 10 8561·2
1990 09 1861·6
1990 08 9162·4
1990 07 1262·1
1990 06 9562.4
1990 05 8162.5
1990 04 9461.9
1990 03 1462.5
1990 02 8062.6
1990 01 1862.8
1989 12 9062·1
1989 11 7162.4
1989 10 5561·7
1989 09 7361·7
1989 08 5261.5
1989 07 9062·0
1989 06 5661·8
1989 05 1462·5
1989 04 8262·2
1989 03 362·8
1989 02 4663.3
1989 01 3762·4
1988 12 562·6
1988 11 6562·6
1988 10 1462·3
1988 09 5962.6
1988 08 7161·3
1988 07 5961.9
1988 06 7261·7
1988 05 2660·6
1988 04 5660·9
1988 03 9261·1
1988 02 5962.7
1988 01 762.7
1987 12 6061.6
1987 11 9461.2
1987 10 3761.1
1987 09 9560·7
1987 08 960.9
1987 07 2360·2
1987 06 9360.2
1987 05 1060.9
1987 04 5260.5
1987 03 6059·9
1987 02 4259·9
1987 01 9659.4
1986 12 6659·5
1986 11 1259·6
1986 10 2159.1
1986 09 2258.7
1986 08 5058·5
1986 07 1158.9
1986 06 9258.6
1986 05 8357.8
1986 04 3058·3
1986 03 1358·0
1986 02 4457.0
1986 01 9657·5
1985 12 5757.6
1985 11 9957·5
1985 10 8958.1
1985 09 758.8
1985 08 558.6
1985 07 7757.5
1985 06 6657·5
1985 05 8557·4
1985 04 7657.5
1985 03 7857.9
1985 02 3658.0
1985 01 2457·2
1984 12 9459.1
1984 11 5958·5
1984 10 9058.1
1984 09 4258.4
1984 08 1058·1
1984 07 158.3
1984 06 3858·4
1984 05 8557.9
1984 04 056·8
1984 03 1157.3
1984 02 1957.1
1984 01 2057.1
1983 12 6356.6
1983 11 2156.1
1983 10 9655.8
1983 09 4355.8
1983 08 2655.9
1983 07 8755.6
1983 06 5655·0
1983 05 7354·5
1983 04 3854·3
1983 03 9153·2
1983 02 1453.6
1983 01 5353·7
1982 12 7553·7
1982 11 4053·6
1982 10 554.2
1982 09 5354·0
1982 08 3754.0
1982 07 6454·1
1982 06 9554.6
1982 05 6655·6
1982 04 5055.7
1982 03 2256.5
1982 02 6956·5
1982 01 1356.1
1981 12 6456·4
1981 11 9457·0
1981 10 4257·1
1981 09 3757·3
1981 08 5457.4
1981 07 8757.7
1981 06 5057.8
1981 05 858.1
1981 04 2258.2
1981 03 3357.2
1981 02 5857.7
1981 01 1857.5
1980 12 9257·5
1980 11 8857.5
1980 10 5257·2
1980 09 8956.3
1980 08 1457·2
1980 07 3557.4
1980 06 4757·5
1980 05 6357·3
1980 04 6557.3
1980 03 7958.2
1980 02 7858.4
1980 01 1059.4
1979 12 4459.5
1979 11 5258.3
1979 10 1157.7
1979 09 2457.9
1979 08 7656·6
1979 07 1257·4
1979 06 3257·1
1979 05 2457·6
1979 04 1358.5
1979 03 3958·8
1979 02 5460·5
1979 01 5460·3
1978 12 3059.8
1978 11 4059·3
1978 10 1558·7
1978 09 8456.7
1978 08 2756·3
1978 07 4756.0
1978 06 7856.5
1978 05 856·7
1978 04 2956.7
1978 03 1756·6
1978 02 3256·1
1978 01 4457.2
1977 12 8657.5
1977 11 3056·3
1977 10 8855·1
1977 09 3755.2
1977 08 7554·7
1977 07 9555.2
1977 06 8555.0
1977 05 5655.4
1977 04 9655·5
1977 03 4254.1
1977 02 8555.3
1977 01 9555.0
1976 12 7455.3
1976 11 2853.6
1976 10 7753·2
1976 09 7453·4
1976 08 5852.2
1976 07 3553·8
1976 06 7453.5
1976 05 3654.0
1976 04 2653.8
1976 03 7052.9
1976 02 1355.1
1976 01 5054.7
1975 12 7753.7
1975 11 6352·3
1975 10 5752.6
1975 09 1252.9
1975 08 3653.4
1975 07 7253·5
1975 06 9452.8
1975 05 3953·2
1975 04 5453·4
1975 03 7852·9
1975 02 3754·4
1975 01 7655·7
1974 12 756.4
1974 11 8855.3
1974 10 2454·9
1974 09 9255·5
1974 08 9455·6
1974 07 3457·4
1974 06 1856.6
1974 05 8257.2
1974 04 4156·9
1974 03 7255.3
1974 02 656·3
1974 01 6356·6
1973 12 9956.5
1973 11 8455·7
1973 10 255.2
1973 09 8254.9
1973 08 4354.1
1973 07 7655.5
1973 06 4455·0
1973 05 654.5
1973 04 7355.2
1973 03 8154.7
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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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