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2012 04 9013.0
2012 03 4014.0
2012 02 8114.1
2012 01 9213·6
2011 12 7415.8
2011 11 3215·5
2011 10 7215.0
2011 09 2815.9
2011 08 1916·7
2011 07 1715.9
2011 06 5716·2
2011 05 5716.2
2011 04 7316.2
2011 03 7615.6
2011 02 5015.4
2011 01 2215·7
2010 12 1415·8
2010 11 1516·1
2010 10 8815·9
2010 09 9316·0
2010 08 4116.1
2010 07 6615.7
2010 06 3515·2
2010 05 6415·4
2010 04 7916.4
2010 03 8716.7
2010 02 7816.0
2010 01 5416.5
2009 12 8016.2
2009 11 5715·8
2009 10 3016.0
2009 09 715.4
2009 08 1714·9
2009 07 8514.8
2009 06 2914·8
2009 05 9214.9
2009 04 9314.9
2009 03 113·6
2009 02 3713·7
2009 01 412.7
2008 12 3212·1
2008 11 6311.6
2008 10 4411.4
2008 09 6111.3
2008 08 8510·6
2008 07 5110.0
2008 06 619·4
2008 05 89·6
2008 04 268·6
2008 03 749·2
2008 02 278.4
2008 01 139.1
2007 12 579.0
2007 11 618·5
2007 10 58.5
2007 09 728·0
2007 08 37·6
2007 07 718.1
2007 06 818.5
2007 05 38.3
2007 04 148·3
2007 03 848.4
2007 02 708·0
2007 01 507.9
2006 12 658.3
2006 11 78.5
2006 10 98.4
2006 09 829.0
2006 08 588.8
2006 07 729.5
2006 06 618·9
2006 05 948·7
2006 04 179.4
2006 03 359·5
2006 02 149.5
2006 01 48·9
2005 12 929.2
2005 11 7910.6
2005 10 819.1
2005 09 589.4
2005 08 609·7
2005 07 99·2
2005 06 010.2
2005 05 2310.1
2005 04 2010·3
2005 03 5810.5
2005 02 3310.9
2005 01 9410·6
2004 12 9810·7
2004 11 8210.7
2004 10 6810·8
2004 09 9110.3
2004 08 4410.5
2004 07 6211.0
2004 06 1910·2
2004 05 5710·1
2004 04 349.8
2004 03 610.3
2004 02 239.7
2004 01 6110·4
2003 12 6810.1
2003 11 4510·2
2003 10 4411.4
2003 09 9811.1
2003 08 7210·9
2003 07 3510·9
2003 06 6811·5
2003 05 8710·9
2003 04 9510.9
2003 03 5810·3
2003 02 910·7
2003 01 7210·5
2002 12 1411·3
2002 11 2210·7
2002 10 59·8
2002 09 229.7
2002 08 289.8
2002 07 579.8
2002 06 1910.5
2002 05 3110.2
2002 04 6310·7
2002 03 2010.5
2002 02 399.9
2002 01 1810·0
2001 12 7010·1
2001 11 939·8
2001 10 769·5
2001 09 288.9
2001 08 239·1
2001 07 828·0
2001 06 718.3
2001 05 307.9
2001 04 248·0
2001 03 198·3
2001 02 847·7
2001 01 178.2
2000 12 977·4
2000 11 617.3
2000 10 57.3
2000 09 97.3
2000 08 947.9
2000 07 907.7
2000 06 467.8
2000 05 517·7
2000 04 887.0
2000 03 117.4
2000 02 448·1
2000 01 108.2
1999 12 827·8
1999 11 578·0
1999 10 648.4
1999 09 828.5
1999 08 997.7
1999 07 858.7
1999 06 927.7
1999 05 857·4
1999 04 917.8
1999 03 758.0
1999 02 428.2
1999 01 647·8
1998 12 337·7
1998 11 358·6
1998 10 518.6
1998 09 889·1
1998 08 268.8
1998 07 969.5
1998 06 838.8
1998 05 518·9
1998 04 949.1
1998 03 159.2
1998 02 259.3
1998 01 719.4
1997 12 8810·0
1997 11 739.5
1997 10 909·5
1997 09 949·5
1997 08 849.4
1997 07 789.5
1997 06 1610.8
1997 05 8810.3
1997 04 8110.2
1997 03 6010·5
1997 02 6710·7
1997 01 4810·8
1996 12 610·5
1996 11 7710.6
1996 10 2910·7
1996 09 9210.6
1996 08 910·6
1996 07 910·6
1996 06 1510.4
1996 05 6510·2
1996 04 6410.7
1996 03 6510.6
1996 02 6510·0
1996 01 3610·6
1995 12 7310·2
1995 11 749·7
1995 10 4010.0
1995 09 9811.1
1995 08 6111.1
1995 07 9510·9
1995 06 2810.7
1995 05 7210·0
1995 04 7810·7
1995 03 99·7
1995 02 4310.1
1995 01 210.3
1994 12 09.9
1994 11 2110.8
1994 10 2211.3
1994 09 5610.6
1994 08 2611.2
1994 07 6510·9
1994 06 2811.3
1994 05 2811·7
1994 04 8411·9
1994 03 9612·4
1994 02 4812.8
1994 01 3813.1
1993 12 2111.7
1993 11 9612.6
1993 10 9711·8
1993 09 3012.5
1993 08 1612.3
1993 07 7212·7
1993 06 1213.4
1993 05 7313.1
1993 04 6614.0
1993 03 5513·7
1993 02 5513.5
1993 01 6114.1
1992 12 9914.3
1992 11 314·1
1992 10 1514·3
1992 09 1313·9
1992 08 6414.2
1992 07 9614·4
1992 06 414·6
1992 05 7414·7
1992 04 3714.1
1992 03 4114.1
1992 02 6014.2
1992 01 1213.5
1991 12 1712.9
1991 11 7112·5
1991 10 4713·3
1991 09 2212·3
1991 08 3212·4
1991 07 4111.9
1991 06 5112.5
1991 05 2312·8
1991 04 3012·7
1991 03 3412.5
1991 02 8712.2
1991 01 5911.9
1990 12 8812.4
1990 11 5512.4
1990 10 9212.1
1990 09 9912.1
1990 08 511.7
1990 07 3811.4
1990 06 2810.5
1990 05 3810.6
1990 04 710.7
1990 03 3710.9
1990 02 8411·0
1990 01 9311.1
1989 12 4511·6
1989 11 3511·7
1989 10 7311.7
1989 09 1111·7
1989 08 9411.1
1989 07 3911.0
1989 06 3211·7
1989 05 5911.2
1989 04 5411·1
1989 03 8011·1
1989 02 2411.9
1989 01 3111·8
1988 12 5111.3
1988 11 1411·0
1988 10 3811.1
1988 09 4811·0
1988 08 3411.4
1988 07 2411·6
1988 06 8511.5
1988 05 5312.3
1988 04 8112·2
1988 03 1612·7
1988 02 512.4
1988 01 1512·0
1987 12 8912.1
1987 11 2212·1
1987 10 6012.3
1987 09 2912·6
1987 08 8712.6
1987 07 9812·9
1987 06 3712·9
1987 05 1313.6
1987 04 2212·9
1987 03 2613.8
1987 02 5013·8
1987 01 1214·0
1986 12 7213·7
1986 11 1314·3
1986 10 3714.6
1986 09 9414.9
1986 08 3614·8
1986 07 9014·4
1986 06 6015·1
1986 05 5514·6
1986 04 4014·8
1986 03 1414.6
1986 02 714·4
1986 01 1214·5
1985 12 3415.0
1985 11 6615.6
1985 10 9215·0
1985 09 1115·2
1985 08 9414·3
1985 07 5415·2
1985 06 5214·4
1985 05 2115·2
1985 04 2015.1
1985 03 815·1
1985 02 4915.8
1985 01 3415.2
1984 12 3715·2
1984 11 8615·0
1984 10 7315.3
1984 09 7215.0
1984 08 9516.0
1984 07 6916·7
1984 06 3615·6
1984 05 7715·7
1984 04 7116·5
1984 03 6416·6
1984 02 7516·2
1984 01 1917.3
1983 12 6417.8
1983 11 217.5
1983 10 5418.2
1983 09 9318·8
1983 08 119.7
1983 07 4119·4
1983 06 6020.7
1983 05 1620·3
1983 04 3020.4
1983 03 6020.1
1983 02 619.9
1983 01 3421·2
1982 12 2820.9
1982 11 6920.2
1982 10 3120.1
1982 09 1619·7
1982 08 9618·9
1982 07 9718.8
1982 06 9718.5
1982 05 5518.5
1982 04 5718·2
1982 03 218·1
1982 02 9217·7
1982 01 7017.3
1981 12 6417·2
1981 11 6416.8
1981 10 2916.7
1981 09 715.9
1981 08 9116·3
1981 07 9215.0
1981 06 4615·7
1981 05 3414.8
1981 04 3814.7
1981 03 1715·1
1981 02 614.7
1981 01 4514.6
1980 12 3215·0
1980 11 9415.1
1980 10 9615.1
1980 09 5914·8
1980 08 2214·6
1980 07 715·3
1980 06 2914·6
1980 05 2114.4
1980 04 8313·8
1980 03 6012·9
1980 02 4412.9
1980 01 013·0
1979 12 1712.2
1979 11 8711·9
1979 10 312·3
1979 09 8911.7
1979 08 4912.4
1979 07 4412·1
1979 06 9512.2
1979 05 812·4
1979 04 2812·9
1979 03 1212.5
1979 02 3113·1
1979 01 212·4
1978 12 3112·4
1978 11 9712·7
1978 10 5111·8
1978 09 3811·9
1978 08 5812·3
1978 07 3313.0
1978 06 1612·8
1978 05 1213·0
1978 04 3312·9
1978 03 7513.1
1978 02 1513·1
1978 01 4213·9
1977 12 913·6
1977 11 514·7
1977 10 6014·5
1977 09 7314·5
1977 08 5915.1
1977 07 2913.9
1977 06 9013.9
1977 05 7413·5
1977 04 8412·8
1977 03 7913·9
1977 02 6814·2
1977 01 3813·8
1976 12 1114·1
1976 11 1314·0
1976 10 8013·9
1976 09 8613.7
1976 08 8814.3
1976 07 1113.9
1976 06 4114·3
1976 05 6113·2
1976 04 9213·8
1976 03 7913·5
1976 02 8814.4
1976 01 3214·3
1975 12 2314·5
1975 11 5114·6
1975 10 8414.9
1975 09 9315·4
1975 08 615.2
1975 07 8214.1
1975 06 1715.0
1975 05 6415·1
1975 04 9215.3
1975 03 5515.1
1975 02 9914.4
1975 01 8914.1
1974 12 5513·1
1974 11 7412·4
1974 10 6911.5
1974 09 3710·8
1974 08 989·9
1974 07 7410.4
1974 06 9010·1
1974 05 29·7
1974 04 449·5
1974 03 99.8
1974 02 499·8
1974 01 39.5
1973 12 449·0
1973 11 619.3
1973 10 608.8
1973 09 849·7
1973 08 749.2
1973 07 399·8
1973 06 599·8
1973 05 159.6
1973 04 349.9
1973 03 719.4
1973 02 119·5
1973 01 899·1
1972 12 499.4
1972 11 1710.0
1972 10 210·6
1972 09 2610·4
1972 08 7010·6
1972 07 5610.5
1972 06 4710·2
1972 05 7010.2
1972 04 729·8
1972 03 9710·7
1972 02 8211·2
1972 01 9011·2
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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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