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2012 04 2917·
2012 03 314.
2012 02 385.
2012 01 589·
2011 12 267.
2011 11 751.
2011 10 441.
2011 09 05·
2011 08 898.
2011 07 189·
2011 06 525·
2011 05 403·
2011 04 6911·
2011 03 424·
2011 02 734.
2011 01 239·
2010 12 4211·
2010 11 5212·
2010 10 4710.
2010 09 181·
2010 08 66·
2010 07 8012·
2010 06 3413.
2010 05 194·
2010 04 898.
2010 03 843·
2010 02 251·
2010 01 451.
2009 12 405·
2009 11 443·
2009 10 302·
2009 09 414.
2009 08 359·
2009 07 6719.
2009 06 8915·
2009 05 759.
2009 03 740·
2009 02 864.
2009 01 643.
2008 12 426.
2008 11 823.
2008 10 563.
2008 09 433.
2008 08 605·
2008 07 108·
2008 06 597.
2008 05 3914·
2008 04 7520·
2008 03 339.
2008 02 25·
2008 01 906.
2007 12 541·
2007 11 522·
2007 10 162·
2007 09 580.
2007 08 939.
2007 07 9224·
2007 06 5917·
2007 05 321·
2007 04 1011·
2007 03 316.
2007 02 1213·
2007 01 2520·
2006 12 508·
2006 11 625·
2006 10 811·
2006 09 743·
2006 08 815·
2006 07 6711.
2006 06 989.
2006 05 426.
2006 04 981.
2006 02 456.
2006 01 203·
2005 12 173·
2005 11 208·
2005 10 463·
2005 08 281.
2005 07 136.
2005 06 9110·
2005 05 452·
2005 04 298·
2005 03 669.
2005 02 8016.
2005 01 436.
2004 12 556.
2004 10 404.
2004 09 824·
2004 08 663·
2004 07 6211·
2004 06 2316·
2004 05 1517·
2004 04 629.
2004 03 3210.
2004 02 289.
2004 01 2311·
2003 12 911·
2003 11 717·
2003 10 924·
2003 09 777.
2003 08 614·
2003 07 127·
2003 06 7810.
2003 05 6911.
2003 04 795·
2003 03 106.
2003 02 758·
2003 01 196·
2002 12 7810.
2002 11 4917·
2002 10 956·
2002 09 726·
2002 08 785·
2002 07 337·
2002 06 762·
2002 05 962.
2002 04 805.
2002 03 956.
2002 02 812.
2001 12 858·
2001 11 106·
2001 10 916.
2001 09 976.
2001 08 5912·
2001 07 1711·
2001 06 318.
2001 04 3910·
2001 03 6120·
2001 02 7721.
2001 01 3913·
2000 12 439.
2000 11 6212·
2000 10 9110.
2000 09 2811.
2000 08 7318·
2000 07 549·
2000 06 8412.
2000 05 286·
2000 04 1615.
2000 03 587.
2000 02 514.
2000 01 2113·
1999 12 856.
1999 11 175.
1999 10 327.
1999 09 149·
1999 08 1811·
1999 07 015.
1999 06 639.
1999 05 373.
1999 04 793.
1999 03 27.
1999 02 256·
1999 01 4711·
1998 11 554.
1998 10 4210·
1998 09 685.
1998 08 274·
1998 07 5817·
1998 06 6417.
1998 05 6610·
1998 04 8313.
1998 03 2710·
1998 02 365.
1998 01 221.
1997 12 465.
1997 11 255.
1997 10 547.
1997 09 5913.
1997 08 7328·
1997 07 4028·
1997 06 3614.
1997 05 2912.
1997 04 4612·
1997 03 8311.
1997 02 2710.
1997 01 64.
1996 12 7113·
1996 11 9410.
1996 10 959.
1996 09 929.
1996 08 8111·
1996 07 3610.
1996 06 3427·
1996 05 1121·
1996 04 3118.
1996 03 956.
1996 02 6513.
1996 01 146·
1995 12 36·
1995 11 865.
1995 10 318·
1995 09 7615.
1995 08 410.
1995 07 458.
1995 06 022.
1995 05 9817.
1995 04 6619·
1995 03 3619·
1995 02 686.
1995 01 56.
1994 12 458.
1994 11 4711·
1994 10 547·
1994 09 484·
1994 08 2318·
1994 07 9023·
1994 06 110·
1994 05 12.
1994 04 610·
1994 03 47·
1994 02 784·
1994 01 662·
1993 12 275·
1993 11 5115·
1993 10 819·
1993 09 6717.
1993 08 4129·
1993 07 1927.
1993 06 2713.
1993 05 5513.
1993 04 3120·
1993 03 219·
1993 02 6228.
1993 01 618·
1992 12 312·
1992 11 967.
1992 10 543·
1992 09 206.
1992 08 8824·
1992 07 511·
1992 06 9721·
1992 05 2215.
1992 04 4415.
1992 03 3713·
1992 02 114·
1992 01 6213·
1991 12 527·
1991 11 54.
1991 10 396.
1991 09 176·
1991 08 1810·
1991 07 4611·
1991 06 528·
1991 05 866.
1991 04 757·
1991 03 247·
1991 02 424·
1991 01 949.
1990 12 787.
1990 11 2612·
1990 10 299·
1990 09 9313·
1990 08 1016·
1990 07 6524.
1990 06 5816.
1990 05 5723.
1990 04 7819·
1990 03 8014·
1990 02 978·
1990 01 8811·
1989 12 1210·
1989 11 3210.
1989 10 4011.
1989 09 917.
1989 08 7021.
1989 07 1116.
1989 06 711.
1989 05 7312·
1989 04 3215.
1989 03 286.
1989 02 4217.
1989 01 5313·
1988 12 711·
1988 11 2217.
1988 10 148·
1988 09 5115·
1988 08 2526.
1988 07 554.
1988 06 1738.
1988 05 922·
1988 04 4212.
1988 03 162·
1988 02 716·
1988 01 2615·
1987 12 426·
1987 11 1711·
1987 10 1813·
1987 09 2915·
1987 08 3023.
1987 07 9722·
1987 06 2917.
1987 05 17.
1987 04 388.
1987 03 1813.
1987 02 989·
1987 01 6711.
1986 12 227.
1986 11 6713·
1986 10 4321.
1986 09 7920.
1986 08 6535·
1986 07 5934.
1986 06 1016·
1986 05 104.
1986 04 7214.
1986 03 304.
1986 02 665·
1986 01 6211·
1985 12 769.
1985 11 4518.
1985 10 78.
1985 09 616.
1985 08 3430.
1985 07 8929·
1985 06 5121.
1985 05 5517.
1985 04 2622.
1985 03 7821.
1985 02 4330·
1985 01 2217.
1984 12 5925·
1984 11 4723·
1984 10 5123.
1984 09 6025·
1984 08 6627.
1984 07 6147·
1984 06 7047.
1984 05 9633·
1984 04 223.
1984 03 735·
1984 02 1926·
1984 01 8024.
1983 12 4929.
1983 11 9838·
1983 10 4223·
1983 09 8826.
1983 08 1540·
1983 07 7232.
1983 06 840·
1983 05 1932·
1983 04 3017·
1983 03 9234·
1983 02 1128.
1983 01 022·
1982 12 5224·
1982 11 4615.
1982 10 7124·
1982 09 8016.
1982 08 6152·
1982 07 4651·
1982 06 3252·
1982 05 3543·
1982 04 6548·
1982 03 3130·
1982 02 6229·
1982 01 6515·
1981 12 9514.
1981 11 6315·
1981 10 5716.
1981 09 9621.
1981 08 822·
1981 07 3035.
1981 06 3431·
1981 05 7821·
1981 04 8626.
1981 03 4630·
1981 02 3823·
1981 01 8740·
1980 12 3538·
1980 11 4829·
1980 10 3942.
1980 09 2242·
1980 08 8638.
1980 07 9844·
1980 06 3042.
1980 05 1033·
1980 04 9724.
1980 03 8618·
1980 02 3120.
1980 01 023.
1979 12 4918.
1979 11 2323·
1979 10 8616.
1979 09 6931.
1979 08 4843.
1979 07 4857·
1979 06 6346·
1979 05 1534·
1979 04 2737·
1979 03 2329.
1979 02 5824.
1979 01 6625·
1978 12 4222·
1978 11 3718·
1978 10 8813·
1978 09 7116.
1978 08 7451.
1978 07 259·
1978 06 9941·
1978 05 645.
1978 04 3130.
1978 03 5639.
1978 02 5929.
1978 01 7027·
1977 12 4419·
1977 11 6219.
1977 10 6321.
1977 09 9021.
1977 08 6938.
1977 07 951·
1977 06 3049.
1977 05 1639·
1977 04 8839.
1977 03 833.
1977 02 431.
1977 01 2323·
1976 12 829.
1976 11 9825·
1976 10 5335·
1976 09 1228·
1976 08 6157·
1976 07 4150.
1976 06 7348.
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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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