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2012 04 7711.7
2012 03 8913.3
2012 02 3813·0
2012 01 9613.6
2011 12 5814.6
2011 11 2113.9
2011 10 8513.4
2011 09 8114.3
2011 08 1714·5
2011 07 6314·2
2011 06 4514.6
2011 05 7714.1
2011 04 614.4
2011 03 9813·7
2011 02 3213·7
2011 01 2813·8
2010 12 014·2
2010 11 3314·4
2010 10 8314·1
2010 09 313.7
2010 08 9814·0
2010 07 9813·7
2010 06 6112·5
2010 05 9813·5
2010 04 2714.6
2010 03 5113.4
2010 02 5313·2
2010 01 2914.2
2009 12 3714.1
2009 11 7313.0
2009 10 7413.7
2009 09 4313.2
2009 08 312.3
2009 07 7112·7
2009 06 6012.6
2009 05 812·4
2009 04 2611.9
2009 03 7611.0
2009 02 7511.2
2009 01 1810·2
2008 12 309.7
2008 11 469·7
2008 10 79.7
2008 09 929.9
2008 08 679.9
2008 07 618.3
2008 06 688·3
2008 05 758·8
2008 04 128·1
2008 03 288.7
2008 02 967.8
2008 01 358·3
2007 12 648.0
2007 11 807.8
2007 10 557·7
2007 09 677.5
2007 08 517.3
2007 07 727·6
2007 06 317·6
2007 05 907·3
2007 04 217.1
2007 03 867·2
2007 02 397·2
2007 01 487·3
2006 12 508·3
2006 11 307·9
2006 10 157·5
2006 09 108.5
2006 08 408.0
2006 07 348·6
2006 06 248·4
2006 05 707·7
2006 04 148.8
2006 03 559.3
2006 02 529.1
2006 01 479·2
2005 12 249·0
2005 11 759.8
2005 10 128·8
2005 09 878·9
2005 08 449.3
2005 07 18.9
2005 06 439.6
2005 05 569·8
2005 04 7610.0
2005 03 6310.1
2005 02 79.9
2005 01 519·9
2004 12 459.5
2004 11 209.7
2004 10 9310.2
2004 09 909·3
2004 08 09.4
2004 07 5210·3
2004 06 129.9
2004 05 1610·0
2004 04 189.4
2004 03 669·9
2004 02 49·4
2004 01 19·8
2003 12 9910·0
2003 11 939·6
2003 10 3010·9
2003 09 3610.3
2003 08 6810·7
2003 07 9110.5
2003 06 7910.9
2003 05 429.5
2003 04 7610.1
2003 03 419.6
2003 02 649.9
2003 01 639·5
2002 12 9710·7
2002 11 5010.0
2002 10 239·0
2002 09 678.9
2002 08 339.4
2002 07 499·8
2002 06 189.6
2002 05 4910·1
2002 04 910·6
2002 03 9410.0
2002 02 379·7
2002 01 299.6
2001 12 759.7
2001 11 699·5
2001 10 939·4
2001 09 508·8
2001 08 78·0
2001 07 787·1
2001 06 257·6
2001 05 817.0
2001 04 46.7
2001 03 557.7
2001 02 957.2
2001 01 178.2
2000 12 936·4
2000 11 546·9
2000 10 906·6
2000 09 767·0
2000 08 247·3
2000 07 597·5
2000 06 257.2
2000 05 37.4
2000 04 716.8
2000 03 767.3
2000 02 367.7
2000 01 677.7
1999 12 367·6
1999 11 367.5
1999 10 867·4
1999 09 628.3
1999 08 458·0
1999 07 968.6
1999 06 657·5
1999 05 87·2
1999 04 467.8
1999 03 388·3
1999 02 838·2
1999 01 487.6
1998 12 167.6
1998 11 688·3
1998 10 808·7
1998 09 519.2
1998 08 558·8
1998 07 188·9
1998 06 188·9
1998 05 129.5
1998 04 899·5
1998 03 459·3
1998 02 859·3
1998 01 499·3
1997 12 6710·0
1997 11 299.8
1997 10 939.6
1997 09 89·5
1997 08 669·5
1997 07 799.5
1997 06 8210·2
1997 05 5710.3
1997 04 859·8
1997 03 2510.0
1997 02 1310.8
1997 01 9010·5
1996 12 5111.0
1996 11 2510.0
1996 10 7510.3
1996 09 269.9
1996 08 1210.7
1996 07 599·7
1996 06 819.8
1996 05 109·4
1996 04 4610.0
1996 03 359.5
1996 02 689.0
1996 01 1010·4
1995 12 529·2
1995 11 839·2
1995 10 9910.2
1995 09 2111.2
1995 08 5510.5
1995 07 6210·6
1995 06 6210·5
1995 05 629.2
1995 04 610·9
1995 03 5210·3
1995 02 7010.2
1995 01 7810·2
1994 12 8110·0
1994 11 5910·7
1994 10 6211·0
1994 09 3610.2
1994 08 8010·4
1994 07 179·7
1994 06 9910·8
1994 05 3211·3
1994 04 2711·6
1994 03 8012.6
1994 02 6912·0
1994 01 8412.4
1993 12 7411.4
1993 11 3211.6
1993 10 8711·2
1993 09 3611.5
1993 08 9711·7
1993 07 7812.2
1993 06 8912.5
1993 05 5912.2
1993 04 9412.5
1993 03 5112·0
1993 02 3812.8
1993 01 4513.7
1992 12 9213.5
1992 11 613.4
1992 10 2313.1
1992 09 1512.8
1992 08 4113·2
1992 07 2613.4
1992 06 5513.6
1992 05 1113·9
1992 04 1713.2
1992 03 1612·8
1992 02 7413·0
1992 01 412.5
1991 12 2012.3
1991 11 1012.5
1991 10 4213·8
1991 09 8811·9
1991 08 7512.0
1991 07 6311.0
1991 06 4711.5
1991 05 8112.0
1991 04 3211.8
1991 03 5712·1
1991 02 111·4
1991 01 2811.6
1990 12 6811·8
1990 11 9911·5
1990 10 4311.3
1990 09 9711.4
1990 08 8211·3
1990 07 2010.8
1990 06 3610·1
1990 05 8410.4
1990 04 010·5
1990 03 7710·7
1990 02 6710·8
1990 01 710·4
1989 12 7210.9
1989 11 5111.4
1989 10 4911.6
1989 09 1011.7
1989 08 7411·0
1989 07 5011.5
1989 06 2012.1
1989 05 6211.0
1989 04 610.4
1989 03 511.1
1989 02 4411.6
1989 01 5911.7
1988 12 9311.2
1988 11 7210·8
1988 10 710.8
1988 09 1711.2
1988 08 8611·5
1988 07 3411.7
1988 06 2311.5
1988 05 8312.3
1988 04 6012·7
1988 03 9612·6
1988 02 3112.0
1988 01 2512·4
1987 12 1612·2
1987 11 9112.4
1987 10 9112.9
1987 09 3713·2
1987 08 7812.5
1987 07 7512.7
1987 06 9413·0
1987 05 3813·3
1987 04 9813.1
1987 03 2914.5
1987 02 5014.3
1987 01 7314·3
1986 12 5113.8
1986 11 6114·3
1986 10 9913·9
1986 09 1014.2
1986 08 3714.5
1986 07 213·6
1986 06 315·0
1986 05 4414.5
1986 04 8214·7
1986 03 914·3
1986 02 5114·1
1986 01 9314·1
1985 12 3514.6
1985 11 6315.3
1985 10 5414.2
1985 09 315·0
1985 08 7314.7
1985 07 7115·1
1985 06 5114·3
1985 05 4215·4
1985 04 9514.9
1985 03 6414·9
1985 02 515·7
1985 01 414.8
1984 12 2814·7
1984 11 015·3
1984 10 415·2
1984 09 914·5
1984 08 2115.8
1984 07 5915.8
1984 06 6014.6
1984 05 015.4
1984 04 4915·6
1984 03 4915·8
1984 02 1215.8
1984 01 4717.2
1983 12 1418·3
1983 11 117.4
1983 10 2218.2
1983 09 4318.0
1983 08 4118·4
1983 07 7218.1
1983 06 7819.8
1983 05 918·6
1983 04 8019.2
1983 03 4419.2
1983 02 9318·7
1983 01 8820.0
1982 12 618.7
1982 11 2218.6
1982 10 518.3
1982 09 4917·8
1982 08 2017·9
1982 07 3918.0
1982 06 7717.1
1982 05 8617.7
1982 04 4817·4
1982 03 5217·2
1982 02 9716.8
1982 01 1916·1
1981 12 3816·3
1981 11 4116·0
1981 10 7816.7
1981 09 9216.1
1981 08 6816·1
1981 07 1414.8
1981 06 5715.6
1981 05 7314.8
1981 04 3714·7
1981 03 215.9
1981 02 9814·8
1981 01 5714.5
1980 12 7115·3
1980 11 6315·2
1980 10 8814.9
1980 09 6413·2
1980 08 2113·5
1980 07 7614·6
1980 06 4014·0
1980 05 3714.4
1980 04 6013·8
1980 03 5013.3
1980 02 9213.1
1980 01 4513·0
1979 12 9112.7
1979 11 1612.5
1979 10 813·3
1979 09 8213.0
1979 08 3813.8
1979 07 3013·0
1979 06 7413.6
1979 05 6913.7
1979 04 5214·1
1979 03 7512.8
1979 02 413.9
1979 01 4813·4
1978 12 813·3
1978 11 5613.4
1978 10 3612·9
1978 09 8913.1
1978 08 613·3
1978 07 514·8
1978 06 3214.4
1978 05 8614·1
1978 04 7213·6
1978 03 8014.2
1978 02 8113.7
1978 01 5814·5
1977 12 5714·7
1977 11 6115·9
1977 10 9514·8
1977 09 5015.1
1977 08 3514·9
1977 07 5614·3
1977 06 1315.1
1977 05 3013.8
1977 04 814.9
1977 03 9514·8
1977 02 9615.6
1977 01 9314.6
1976 12 9914.2
1976 11 3613.9
1976 10 3414.3
1976 09 5814·0
1976 08 6115·2
1976 07 6114·6
1976 06 3814.2
1976 05 6813·4
1976 04 6814·4
1976 03 7513·8
1976 02 4814.9
1976 01 9414·4
1975 12 2114·2
1975 11 1014·4
1975 10 2515·0
1975 09 2915·5
1975 08 4415·4
1975 07 2413.7
1975 06 5714·4
1975 05 9215·4
1975 04 8915·1
1975 03 9815.3
1975 02 5914·9
1975 01 2814.2
1974 12 3113·8
1974 11 3813·3
1974 10 6612·4
1974 09 511.0
1974 08 7010.4
1974 07 7612.0
1974 06 4310·5
1974 05 1811.1
1974 04 3110.3
1974 03 6910.0
1974 02 7710·5
1974 01 8610.8
1973 12 6611·0
1973 11 9811·0
1973 10 819·9
1973 09 5311.7
1973 08 4910·9
1973 07 7011·2
1973 06 9311·8
1973 05 8910·7
1973 04 8111·6
1973 03 1711·2
1973 02 7611·6
1973 01 8611.0
1972 12 8610.4
1972 11 9611·4
1972 10 1712.7
1972 09 6512·1
1972 08 1712.0
1972 07 8711.7
1972 06 3012.5
1972 05 7011·2
1972 04 4711·0
1972 03 9712·1
1972 02 5311.7
1972 01 7012.1
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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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