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2012 04 614·6
2012 03 7214.8
2012 02 6615·4
2012 01 4013.6
2011 12 7217.1
2011 11 4117.3
2011 10 2616.9
2011 09 4017·7
2011 08 7419·1
2011 07 7717.8
2011 06 5717.8
2011 05 818·5
2011 04 6118.1
2011 03 6217·8
2011 02 6917.3
2011 01 8717·9
2010 12 917·7
2010 11 218.0
2010 10 317·9
2010 09 4618.6
2010 08 1818.4
2010 07 2917·9
2010 06 1918·3
2010 05 8117.5
2010 04 1418.4
2010 03 120·2
2010 02 719·0
2010 01 919.0
2009 12 4718·5
2009 11 9818·9
2009 10 7918.5
2009 09 7617.8
2009 08 9218·0
2009 07 2617·2
2009 06 7317·5
2009 05 5017·8
2009 04 5118.3
2009 03 1916.4
2009 02 5216.5
2009 01 2515·6
2008 12 4714.9
2008 11 3213.6
2008 10 313·4
2008 09 2112·9
2008 08 3211·4
2008 07 4611·8
2008 06 4010.7
2008 05 8210·4
2008 04 819.2
2008 03 709.7
2008 02 19·0
2008 01 7610·0
2007 12 9410·0
2007 11 349.3
2007 10 499·5
2007 09 988.6
2007 08 977.9
2007 07 948.6
2007 06 709.4
2007 05 679·3
2007 04 419.6
2007 03 339·7
2007 02 799·0
2007 01 288.6
2006 12 08.2
2006 11 589.2
2006 10 139·5
2006 09 499.7
2006 08 759.7
2006 07 9910.5
2006 06 359·3
2006 05 259.8
2006 04 9110.0
2006 03 149.8
2006 02 339.9
2006 01 748·5
2005 12 999·4
2005 11 8311.6
2005 10 209.5
2005 09 419.9
2005 08 7410·2
2005 07 159.6
2005 06 3310.9
2005 05 9510·4
2005 04 1610·6
2005 03 4010.9
2005 02 3611.9
2005 01 3011.4
2004 12 5212.0
2004 11 1511.9
2004 10 1711.5
2004 09 6511·4
2004 08 3011.7
2004 07 2111·7
2004 06 8710.4
2004 05 4510·2
2004 04 2810·2
2004 03 6610.7
2004 02 8610.0
2004 01 3811·1
2003 12 4410·1
2003 11 8110.8
2003 10 7712·0
2003 09 3912·1
2003 08 511.2
2003 07 2311·5
2003 06 4612.3
2003 05 6612·6
2003 04 6111.8
2003 03 7211.2
2003 02 711.7
2003 01 6511.6
2002 12 8711.9
2002 11 3711.6
2002 10 9810·6
2002 09 310.6
2002 08 8410·3
2002 07 489.8
2002 06 8211.5
2002 05 7610·4
2002 04 7610·8
2002 03 6211.0
2002 02 4610·2
2002 01 210.3
2001 12 1510·4
2001 11 6110·0
2001 10 49.6
2001 09 269.1
2001 08 7610·4
2001 07 529·1
2001 06 939·2
2001 05 168·9
2001 04 609.4
2001 03 659.0
2001 02 778·3
2001 01 678·2
2000 12 908·6
2000 11 587·8
2000 10 428.1
2000 09 987.8
2000 08 198·6
2000 07 137·9
2000 06 38.5
2000 05 538·1
2000 04 217.2
2000 03 367·6
2000 02 968·4
2000 01 18.7
1999 12 978·1
1999 11 588·6
1999 10 869.5
1999 09 368·8
1999 08 727.4
1999 07 368·7
1999 06 597.8
1999 05 787·7
1999 04 967.8
1999 03 537·8
1999 02 298·1
1999 01 718·0
1998 12 467.9
1998 11 148·9
1998 10 338.5
1998 09 839.1
1998 08 218.9
1998 07 5110.1
1998 06 358·6
1998 05 108.2
1998 04 468·6
1998 03 219.1
1998 02 229·3
1998 01 699.4
1997 12 739·9
1997 11 69.1
1997 10 79.4
1997 09 59.5
1997 08 769·3
1997 07 119.6
1997 06 2811·4
1997 05 8810.2
1997 04 5610.6
1997 03 7011.1
1997 02 4810.6
1997 01 1111·1
1996 12 3810·0
1996 11 3811·3
1996 10 5511·2
1996 09 9411.3
1996 08 7310.6
1996 07 9711.6
1996 06 6211·1
1996 05 8111·1
1996 04 3611.5
1996 03 5311.7
1996 02 611.0
1996 01 4010·9
1995 12 2711·2
1995 11 3910.2
1995 10 519·8
1995 09 6711·0
1995 08 7311.8
1995 07 1111·2
1995 06 8411.0
1995 05 8010·8
1995 04 2210.6
1995 03 509.0
1995 02 1910.1
1995 01 2210.4
1994 12 519·8
1994 11 6411·0
1994 10 9211·5
1994 09 6510.9
1994 08 6012·0
1994 07 8412.2
1994 06 6811.8
1994 05 112.1
1994 04 7512.2
1994 03 6612.2
1994 02 3413.8
1994 01 5013.8
1993 12 4512·0
1993 11 9213.7
1993 10 312.5
1993 09 5513.6
1993 08 4712·9
1993 07 6913·1
1993 06 1214.2
1993 05 8714·1
1993 04 8015·5
1993 03 2915.4
1993 02 2514·2
1993 01 3914.5
1992 12 7015.2
1992 11 2814.8
1992 10 3015.5
1992 09 3015·1
1992 08 6715.3
1992 07 4715.4
1992 06 3915.6
1992 05 415.6
1992 04 4714·9
1992 03 9415.4
1992 02 9015.5
1992 01 3114.5
1991 12 1113.6
1991 11 012·5
1991 10 4712.8
1991 09 512·6
1991 08 8212·8
1991 07 2112.8
1991 06 9613.5
1991 05 4413·8
1991 04 1313.6
1991 03 4012·8
1991 02 5213.1
1991 01 9412·2
1990 12 7813.1
1990 11 6313·2
1990 10 5212·8
1990 09 2312.8
1990 08 7812.1
1990 07 2112.0
1990 06 5810·8
1990 05 2510.9
1990 04 3811·0
1990 03 7111.1
1990 02 5911·2
1990 01 1911.7
1989 12 812.3
1989 11 9612.1
1989 10 6711.8
1989 09 5011·6
1989 08 6411·3
1989 07 110·5
1989 06 2111.3
1989 05 8711.4
1989 04 711·8
1989 03 1811·1
1989 02 8412.1
1989 01 2311·8
1988 12 6111·3
1988 11 311·3
1988 10 4211.4
1988 09 7910.8
1988 08 7711.4
1988 07 4011·5
1988 06 1011.5
1988 05 9712.3
1988 04 3011.6
1988 03 3312.7
1988 02 2412.7
1988 01 4811.7
1987 12 2211·9
1987 11 1511.8
1987 10 4911·6
1987 09 2512·0
1987 08 7612·7
1987 07 4213·0
1987 06 7112.9
1987 05 4813.9
1987 04 4512·8
1987 03 9613·0
1987 02 413·3
1987 01 6013·8
1986 12 213·5
1986 11 8414.4
1986 10 8615.2
1986 09 3215.6
1986 08 4815·2
1986 07 3715·1
1986 06 7915.2
1986 05 5614.7
1986 04 1014·9
1986 03 1214·8
1986 02 7114.7
1986 01 5214·9
1985 12 3615·5
1985 11 9115·9
1985 10 7515.8
1985 09 6515.4
1985 08 313·9
1985 07 8015.3
1985 06 3014.5
1985 05 6315·1
1985 04 1115·3
1985 03 1115.4
1985 02 9815·9
1985 01 4015.5
1984 12 8615.7
1984 11 4014·6
1984 10 6615.5
1984 09 1615.5
1984 08 7716.3
1984 07 4917.6
1984 06 4916·6
1984 05 3516.0
1984 04 6017.4
1984 03 4517·3
1984 02 8316.5
1984 01 6617.4
1983 12 3617·3
1983 11 5917.6
1983 10 3218.1
1983 09 319·5
1983 08 2921·0
1983 07 4920.6
1983 06 8321.6
1983 05 6521·9
1983 04 9121.5
1983 03 9521.0
1983 02 4921.1
1983 01 9722.4
1982 12 9722·9
1982 11 421·8
1982 10 6921.8
1982 09 6721·5
1982 08 4719.8
1982 07 819·5
1982 06 519.8
1982 05 7019.3
1982 04 6618.9
1982 03 6419·0
1982 02 4518.6
1982 01 2418.4
1981 12 518·0
1981 11 5317·5
1981 10 216·6
1981 09 7515.7
1981 08 3916·5
1981 07 8215.1
1981 06 1415·8
1981 05 9014.9
1981 04 6914.6
1981 03 8314·3
1981 02 4314·6
1981 01 6514·6
1980 12 2014·6
1980 11 1215·0
1980 10 7815·3
1980 09 1816·2
1980 08 4215.6
1980 07 5016·0
1980 06 3215·1
1980 05 9414.4
1980 04 1113.8
1980 03 512·5
1980 02 4112.8
1980 01 6113·1
1979 12 2811.7
1979 11 811.3
1979 10 7111·4
1979 09 1410·5
1979 08 1711.0
1979 07 1611·2
1979 06 711·0
1979 05 7211·2
1979 04 2811.8
1979 03 1012.2
1979 02 6312.3
1979 01 7911.5
1978 12 3911.6
1978 11 9712.1
1978 10 7810.8
1978 09 410·8
1978 08 4811.3
1978 07 911.3
1978 06 1311·2
1978 05 4111·9
1978 04 8112.2
1978 03 212·1
1978 02 5712.4
1978 01 1013·4
1977 12 8912·6
1977 11 5713.5
1977 10 2214·2
1977 09 5513·9
1977 08 4615·3
1977 07 8313·6
1977 06 4713·0
1977 05 4413·3
1977 04 5410·9
1977 03 1013.1
1977 02 9413.0
1977 01 7213.0
1976 12 3813.9
1976 11 9414·1
1976 10 5213.7
1976 09 5813.4
1976 08 4813·5
1976 07 1813.3
1976 06 3314.3
1976 05 4713·0
1976 04 5913·3
1976 03 8813.3
1976 02 7514.0
1976 01 714·1
1975 12 7214·8
1975 11 3614·7
1975 10 4014.8
1975 09 3215.2
1975 08 1315.0
1975 07 1814·4
1975 06 1815·5
1975 05 4214·8
1975 04 3115·5
1975 03 1714·9
1975 02 2113·9
1975 01 8014·0
1974 12 212·6
1974 11 3811.8
1974 10 8610.7
1974 09 1710·7
1974 08 279·6
1974 07 139·0
1974 06 769.8
1974 05 458·5
1974 04 308.8
1974 03 09.7
1974 02 809.2
1974 01 858.6
1973 12 637.4
1973 11 787.8
1973 10 108·0
1973 09 808.0
1973 08 07·8
1973 07 578·7
1973 06 58.1
1973 05 998.7
1973 04 438·6
1973 03 667.9
1973 02 267.8
1973 01 377·6
1972 12 158·6
1972 11 628·8
1972 10 638·9
1972 09 139·0
1972 08 699·5
1972 07 289·5
1972 06 278·3
1972 05 709·4
1972 04 788.9
1972 03 709.5
1972 02 5710.8
1972 01 7910·5
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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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