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2012 04 561.
2012 03 85.
2012 02 8324·
2012 01 9515.
2011 12 8511.
2011 11 924.
2011 10 628.
2011 09 662·
2011 08 612.
2011 07 567.
2011 06 237·
2011 05 188.
2011 04 3518.
2011 03 8112.
2011 02 7919·
2011 01 9314·
2010 12 8214.
2010 11 7412·
2010 10 6714.
2010 09 615·
2010 08 37.
2010 07 6616·
2010 06 5223·
2010 05 1720·
2010 04 2317.
2010 03 156·
2010 02 217·
2010 01 8013.
2009 12 939·
2009 11 219·
2009 10 8618.
2009 09 9314·
2009 08 886.
2009 07 335.
2009 06 856·
2009 03 254·
2009 02 811·
2009 01 4110.
2008 12 825.
2008 11 723·
2008 10 797·
2008 09 817.
2008 08 6415.
2008 07 5123.
2008 06 517.
2008 05 3619.
2008 04 4520·
2008 03 812·
2008 02 9913·
2008 01 126·
2007 12 614.
2007 11 115·
2007 10 2523·
2007 09 419.
2007 08 771·
2007 07 5510·
2007 06 528·
2007 05 794·
2007 04 793.
2007 03 586·
2007 02 329·
2007 01 86.
2006 12 819·
2006 11 6511·
2006 10 4111.
2006 09 353·
2006 08 211·
2006 07 458·
2006 06 7710·
2006 05 916·
2006 04 613·
2006 03 914·
2006 02 688.
2006 01 335·
2005 12 903·
2005 11 248.
2005 10 634·
2005 09 434.
2005 08 1912.
2005 07 889·
2005 06 371·
2005 05 273.
2005 04 894·
2005 03 5021.
2005 02 9220·
2005 01 1714.
2004 12 6013.
2004 11 73.
2004 10 515.
2004 09 707.
2004 08 2118.
2004 07 768·
2004 06 674.
2004 05 664·
2004 04 8510·
2004 03 212·
2004 02 1426.
2004 01 143.
2003 12 901.
2003 10 540.
2003 09 920.
2003 08 440·
2003 07 986·
2003 06 2617.
2003 05 284·
2003 03 1312.
2003 02 9810·
2003 01 371.
2002 12 701·
2002 11 26.
2002 10 213.
2002 09 323.
2002 08 968·
2002 07 193.
2002 06 496.
2002 05 7910.
2002 04 42.
2002 03 951.
2002 02 13.
2002 01 737.
2001 12 227.
2001 11 877.
2001 10 4613·
2001 09 336.
2001 08 982.
2001 07 765·
2001 06 972.
2001 05 32·
2001 04 81·
2001 03 6917·
2001 02 925·
2001 01 5211.
2000 12 5314.
2000 11 9810·
2000 10 9321·
2000 09 7410·
2000 08 5814.
2000 07 199·
2000 06 894·
2000 05 8912·
2000 03 743.
1999 12 131.
1999 11 937.
1999 10 409.
1999 09 757.
1999 08 898.
1999 07 428.
1999 06 9710.
1999 04 633·
1999 03 7615.
1999 02 014.
1999 01 5410.
1998 12 629.
1998 11 326·
1998 10 545.
1998 09 303·
1998 08 2410.
1998 07 388·
1998 06 178.
1998 05 6914.
1998 04 239·
1998 03 27.
1998 02 278.
1998 01 4010.
1997 12 591·
1997 11 543·
1997 10 467·
1997 09 378.
1997 08 5912.
1997 07 527·
1997 06 6411.
1997 05 808.
1997 04 735·
1997 03 764·
1997 02 9213.
1997 01 138·
1996 12 753.
1996 11 354·
1996 10 6911.
1996 09 511.
1996 08 6723·
1996 07 587.
1996 06 576.
1996 05 4922·
1996 04 7417.
1996 03 413.
1996 02 4518·
1996 01 6610.
1995 12 467·
1995 11 520.
1995 10 451·
1995 09 993.
1995 08 5811.
1995 07 1215.
1995 06 9511.
1995 05 175.
1995 04 115.
1995 03 139.
1995 02 588.
1995 01 155·
1994 12 314·
1994 11 124.
1994 10 226·
1994 09 1118·
1994 08 6812·
1994 07 9123.
1994 06 024.
1994 05 5114·
1994 04 965.
1994 03 5814·
1994 02 296·
1994 01 25·
1993 12 1711·
1993 11 4214.
1993 10 737.
1993 09 597.
1993 08 5619.
1993 07 214·
1993 06 2015·
1993 05 4216·
1993 04 6323·
1993 03 1827·
1993 02 8111·
1993 01 9417.
1992 12 149.
1992 11 9811·
1992 10 976.
1992 09 8418.
1992 08 918.
1992 07 7331·
1992 06 2837·
1992 05 723·
1992 04 7433·
1992 03 9913.
1992 02 6313·
1992 01 8221.
1991 12 5825·
1991 11 5837.
1991 10 1520.
1991 09 535.
1991 08 387.
1991 07 5821.
1991 06 2216.
1991 05 8820·
1991 04 1312·
1991 03 2920.
1991 02 4713.
1991 01 8321.
1990 12 923·
1990 11 2825.
1990 10 7712.
1990 09 5724·
1990 08 7714·
1990 07 3618.
1990 06 2623·
1990 05 5336.
1990 04 9124.
1990 03 6220·
1990 02 3138·
1990 01 4017.
1989 12 5316.
1989 11 359.
1989 10 5610·
1989 09 138.
1989 08 8717·
1989 07 134.
1989 06 8713.
1989 05 9212·
1989 04 4411.
1989 03 7721·
1989 02 3915·
1989 01 1913·
1988 12 03.
1988 11 357.
1988 10 493·
1988 09 644.
1988 08 5414·
1988 07 1730.
1988 06 7933.
1988 05 2213.
1988 04 3326·
1988 03 8011.
1988 02 1812·
1988 01 1116·
1987 12 8622.
1987 11 630·
1987 10 7923.
1987 09 7636·
1987 08 8920·
1987 07 228.
1987 06 9927.
1987 05 8620.
1987 04 4217.
1987 03 9915.
1987 02 4217·
1987 01 3416·
1986 12 7127.
1986 11 5418.
1986 10 9523·
1986 09 4113.
1986 08 2620.
1986 07 4813.
1986 06 7127·
1986 05 5023·
1986 04 8318·
1986 03 8917·
1986 02 811·
1986 01 3023.
1985 12 4128.
1985 11 724.
1985 10 6913.
1985 09 7511.
1985 08 2725.
1985 07 6020·
1985 06 4236·
1985 05 529·
1985 04 9025.
1985 03 2829·
1985 02 4024.
1985 01 6422.
1984 12 725·
1984 11 2035·
1984 10 013.
1984 09 2123.
1984 08 7731.
1984 07 6521.
1984 06 8634·
1984 05 7030·
1984 04 2636.
1984 03 2223.
1984 02 8613.
1984 01 3016.
1983 12 414·
1983 11 7120.
1983 10 1125·
1983 09 4520.
1983 08 8620·
1983 07 2031.
1983 06 131·
1983 05 8419·
1983 04 7430·
1983 03 9926.
1983 02 1819.
1983 01 4319·
1982 12 9220·
1982 11 6619·
1982 10 5021.
1982 09 3920.
1982 08 9130.
1982 07 241·
1982 06 938.
1982 05 1723.
1982 04 4614.
1982 03 1427.
1982 02 3525.
1982 01 4540.
1981 12 5737·
1981 11 3334.
1981 10 8939·
1981 09 1930.
1981 08 5120·
1981 07 1735.
1981 06 6019·
1981 05 5820·
1981 04 7717.
1981 03 4621·
1981 02 6019·
1981 01 422·
1980 12 1023.
1980 11 2718.
1980 10 2715.
1980 09 2933.
1980 08 5242·
1980 07 9335.
1980 06 2549·
1980 05 2525·
1980 04 2830·
1980 03 9944·
1980 02 4023·
1980 01 1220.
1979 12 8717·
1979 11 2816·
1979 10 8720.
1979 09 3321.
1979 08 527.
1979 07 8532·
1979 06 234.
1979 05 5923·
1979 04 8426.
1979 03 329.
1979 02 5030·
1979 01 8420·
1978 12 4723·
1978 11 3830·
1978 10 1727·
1978 09 2526·
1978 08 4618.
1978 07 7328.
1978 06 1628.
1978 05 2942.
1978 04 5527·
1978 03 1235·
1978 02 8624·
1978 01 6315·
1977 12 7617.
1977 11 8925·
1977 10 8923.
1977 09 2131.
1977 08 3427.
1977 07 6029·
1977 06 1433.
1977 05 2426·
1977 04 7933·
1977 03 537.
1977 02 7320.
1977 01 1516.
1976 12 8621.
1976 11 3324·
1976 10 323·
1976 09 6327·
1976 08 5623·
1976 07 7534.
1976 06 6935.
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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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