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2012 04 5070.2
2012 03 7969.2
2012 02 3366.5
2012 01 1065.8
2011 12 3067·1
2011 11 1672·1
2011 10 9271.4
2011 09 1272.5
2011 08 1467·7
2011 07 8864.8
2011 06 8866.2
2011 05 5174·7
2011 04 5174·0
2011 03 7872.9
2011 02 3664·5
2011 01 7062.8
2010 12 1967.5
2010 11 9369.6
2010 10 7371.8
2010 09 3869.0
2010 08 1664.4
2010 07 6366·2
2010 06 6270·9
2010 05 5076·6
2010 04 6977·3
2010 03 4666·7
2010 02 9165·3
2010 01 2464·4
2009 12 2867.3
2009 11 2367·3
2009 10 7365.4
2009 09 565.1
2009 08 6761.3
2009 07 157.2
2009 06 4662·1
2009 05 6356.7
2009 04 8954.8
2009 03 1250·6
2009 02 7247.7
2009 01 9042·7
2008 12 1748.5
2008 11 1148.5
2008 10 4050.6
2008 09 745·7
2008 08 341.7
2008 07 8130.2
2008 06 6240·1
2008 05 5748.1
2008 04 2145.7
2008 03 2938.8
2008 02 7743·8
2008 01 1037·4
2007 12 7340·6
2007 11 8648·4
2007 10 4745·4
2007 09 6041·0
2007 08 8339.1
2007 07 835·3
2007 06 6041·2
2007 05 2541·7
2007 04 249.6
2007 03 7740·3
2007 02 2938·1
2007 01 5036.0
2006 12 538·7
2006 11 140·4
2006 10 9247.9
2006 09 547.8
2006 08 9347·9
2006 07 1040·8
2006 06 1140·6
2006 05 8339·0
2006 04 9147.8
2006 03 6146·9
2006 02 7543.1
2006 01 339·5
2005 12 5042.8
2005 11 3643·3
2005 10 9743.9
2005 09 1042·2
2005 08 4444·8
2005 07 4234·4
2005 06 1437·7
2005 05 7245·6
2005 04 7550.4
2005 03 1051.3
2005 02 9049.9
2005 01 8440.1
2004 12 6751.9
2004 11 9647·8
2004 10 1245.3
2004 09 6653.3
2004 08 7248·7
2004 07 8345.3
2004 06 9348.1
2004 05 6052·3
2004 04 6448.8
2004 03 7752.3
2004 02 7045.5
2004 01 3747·2
2003 12 4346·5
2003 11 1047.9
2003 10 854·4
2003 09 9055·7
2003 08 3656.0
2003 07 3849.1
2003 06 9443.0
2003 05 3849.9
2003 04 9348.9
2003 03 4352·5
2003 02 4050.1
2003 01 2647·5
2002 12 8850·0
2002 11 3248·3
2002 10 8545.0
2002 09 2345.8
2002 08 2337·9
2002 07 3643.0
2002 06 9154.4
2002 05 2356·3
2002 04 2348.8
2002 03 1244.5
2002 02 4734·1
2002 01 4636.7
2001 12 3837.3
2001 11 4139.0
2001 10 6539·4
2001 09 3441.2
2001 08 4337·8
2001 07 3136·1
2001 06 8337.0
2001 05 5837·4
2001 04 3934.0
2001 03 1237·4
2001 02 6431.4
2001 01 1129·3
2000 12 5235.1
2000 11 4240·0
2000 10 9537·6
2000 09 1332.4
2000 08 3128.9
2000 07 231.4
2000 06 9129.5
2000 05 834·4
2000 04 5332·0
2000 03 9937·4
2000 02 8933·6
2000 01 6434·8
1999 12 1735.7
1999 11 6438.7
1999 10 5136·2
1999 09 7738·6
1999 08 4933·2
1999 07 5436·1
1999 06 6535·5
1999 05 6543·9
1999 04 9933.1
1999 03 5130.2
1999 02 4531.7
1999 01 7229.9
1998 12 4336.3
1998 11 6132.3
1998 10 2835·9
1998 09 6843·6
1998 08 8138·4
1998 07 1636·6
1998 06 7747.8
1998 05 4744·3
1998 04 3832.9
1998 03 7339.2
1998 02 8041·5
1998 01 2733·3
1997 12 6530·7
1997 11 1336.9
1997 10 5041·0
1997 09 5340·5
1997 08 3840.9
1997 07 4244.5
1997 06 2541.6
1997 05 9446.7
1997 04 5647.8
1997 03 9440·5
1997 02 6838·1
1997 01 4533·0
1996 12 4538.7
1996 11 2333·0
1996 10 6650·7
1996 09 2444·4
1996 08 5646·0
1996 07 1240·6
1996 06 3348·6
1996 05 7552.5
1996 04 6351.8
1996 03 6855.1
1996 02 644.7
1996 01 6838.6
1995 12 6834·1
1995 11 2234.2
1995 10 4942·5
1995 09 9742.6
1995 08 9537.7
1995 07 3042.3
1995 06 4836·7
1995 05 8043·6
1995 04 9549·5
1995 03 7551.7
1995 02 1843·4
1995 01 6339.7
1994 12 4444.6
1994 11 6343·5
1994 10 9650.3
1994 09 1447·8
1994 08 4144.3
1994 07 2639.0
1994 06 4444.9
1994 05 2756.7
1994 04 1354·5
1994 03 1951·1
1994 02 5144.0
1994 01 2241.2
1993 12 954.6
1993 11 2655·5
1993 10 3052·8
1993 09 4254.9
1993 08 548·6
1993 07 5249·1
1993 06 1853·9
1993 05 5751.5
1993 04 158.9
1993 03 3053.2
1993 02 7950·6
1993 01 6145.2
1992 12 2353·6
1992 11 1551·5
1992 10 051.5
1992 09 7458.7
1992 08 2152·5
1992 07 9052.7
1992 06 9454·9
1992 05 3856·5
1992 04 7059.4
1992 03 6155·5
1992 02 9945.6
1992 01 2345.8
1991 12 7245·2
1991 11 5948·8
1991 10 7850.0
1991 09 2444·7
1991 08 5143.7
1991 07 4346.2
1991 06 1951.5
1991 05 6045.4
1991 04 5745·8
1991 03 9237·2
1991 02 3537.2
1991 01 7431·8
1990 12 6732.2
1990 11 1332·8
1990 10 6331·2
1990 09 3641·1
1990 08 7930.0
1990 07 4036.4
1990 06 6735·3
1990 05 4135.8
1990 04 2138.7
1990 03 2735·9
1990 02 3432·8
1990 01 629.6
1989 12 4228.9
1989 11 5625·6
1989 10 7828·6
1989 09 7731.9
1989 08 1830.4
1989 07 3535·8
1989 06 3537·0
1989 05 2233·5
1989 04 4833·8
1989 03 9534.3
1989 02 7035.1
1989 01 3637·7
1988 12 5933·5
1988 11 9337·9
1988 10 7032.2
1988 09 3740·4
1988 08 137·6
1988 07 944.2
1988 06 4838·6
1988 05 7045.0
1988 04 4942·8
1988 03 5238.4
1988 02 4140.7
1988 01 538·3
1987 12 433·7
1987 11 5138·0
1987 10 1342·8
1987 09 3443·1
1987 08 9043·2
1987 07 6546·0
1987 06 5239·6
1987 05 7847·0
1987 04 5946.9
1987 03 7538.5
1987 02 7036·4
1987 01 8036.0
1986 12 8638.6
1986 11 8746.3
1986 10 544.3
1986 09 1046.4
1986 08 7145.5
1986 07 3340·7
1986 06 2143.2
1986 05 6147.3
1986 04 3942·7
1986 03 7042·6
1986 02 442.3
1986 01 5434·8
1985 12 4137·7
1985 11 7938.2
1985 10 6943·4
1985 09 3139.7
1985 08 5341.3
1985 07 6744·1
1985 06 5246·7
1985 05 6247.7
1985 04 7446·1
1985 03 6542.4
1985 02 1835.3
1985 01 4233.4
1984 12 3041.0
1984 11 3141·4
1984 10 5346·2
1984 09 8952.0
1984 08 7240.1
1984 07 4540.4
1984 06 7047·4
1984 05 4854.8
1984 04 7553·4
1984 03 1646·0
1984 02 844.4
1984 01 8752·5
1983 12 3945·2
1983 11 7348.0
1983 10 2948·9
1983 09 247·1
1983 08 8950·6
1983 07 7454·8
1983 06 2257.5
1983 05 1058·7
1983 04 7756·9
1983 03 056·1
1983 02 9848·2
1983 01 5646.4
1982 12 7743.9
1982 11 5946.1
1982 10 9746.2
1982 09 1041·1
1982 08 9041.9
1982 07 8140.7
1982 06 8043·3
1982 05 6545.6
1982 04 4144.9
1982 03 2339.0
1982 02 3733.3
1982 01 4026·5
1981 12 8027·9
1981 11 6831.8
1981 10 7932·6
1981 09 8033·6
1981 08 8436·4
1981 07 2138·6
1981 06 4438.2
1981 05 5443·8
1981 04 5244·7
1981 03 1437·3
1981 02 9640.7
1981 01 5638.4
1980 12 1028·8
1980 11 535·9
1980 10 2234·2
1980 09 531·0
1980 08 831.1
1980 07 7428·8
1980 06 3635.7
1980 05 4633.5
1980 04 2236·7
1980 03 2833·6
1980 02 7535.2
1980 01 4628·0
1979 12 5130.2
1979 11 9925·7
1979 10 124.4
1979 09 227·1
1979 08 2231·1
1979 07 4331.0
1979 06 432·8
1979 05 3035.9
1979 04 8443·4
1979 03 4237.7
1979 02 9528·9
1979 01 7728·1
1978 12 1426.3
1978 11 431.5
1978 10 1439.4
1978 09 1133.3
1978 08 1134·2
1978 07 5841·3
1978 06 2133·6
1978 05 2546·3
1978 04 241·9
1978 03 6337·6
1978 02 634.5
1978 01 4037·5
1977 12 3535.3
1977 11 9936·4
1977 10 8240.7
1977 09 038·3
1977 08 8738.7
1977 07 7439·4
1977 06 8642.3
1977 05 7250.4
1977 04 5851·8
1977 03 1848·6
1977 02 8134·9
1977 01 5338.6
1976 12 7442·7
1976 11 8944·5
1976 10 5446·2
1976 09 6044·6
1976 08 8447·0
1976 07 6945.6
1976 06 2047·8
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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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