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2012 04 42.0
2012 03 782·0
2012 02 552·0
2012 01 912·0
2011 12 722·0
2011 11 822.0
2011 10 72·0
2011 09 662.0
2011 08 572·0
2011 07 332·0
2011 06 112.0
2011 05 902.0
2011 04 82·0
2011 03 152.1
2011 02 792.0
2011 01 72·0
2010 12 12·0
2010 11 342.0
2010 10 482·1
2010 09 852.0
2010 08 372·1
2010 07 212.1
2010 06 822·0
2010 05 202·0
2010 04 412·1
2010 03 332·0
2010 02 682·1
2010 01 302.1
2009 12 632.1
2009 11 522.0
2009 10 202.1
2009 09 592·1
2009 08 792.1
2009 07 842.1
2009 06 752·1
2009 05 772·1
2009 04 892·1
2009 03 612·0
2009 02 962·1
2009 01 772.1
2008 12 182.0
2008 11 392.0
2008 10 712.0
2008 09 791·9
2008 08 172.0
2008 07 12·0
2008 06 131.9
2008 05 272.0
2008 04 621·9
2008 03 531·9
2008 02 601.9
2008 01 911.9
2007 12 521·8
2007 11 261·9
2007 10 751·9
2007 09 631.9
2007 08 131·8
2007 07 771·9
2007 06 451.8
2007 05 641·8
2007 04 951.8
2007 03 881·9
2007 02 831·8
2007 01 371.9
2006 12 741.8
2006 11 661·8
2006 10 281.9
2006 09 521·8
2006 08 511·8
2006 07 421.9
2006 06 431·8
2006 05 21.9
2006 04 501.9
2006 03 721.9
2006 02 141.9
2006 01 81.8
2005 12 221·9
2005 11 391·8
2005 10 561·9
2005 09 131·9
2005 08 421·8
2005 07 481.8
2005 06 51·9
2005 05 851·9
2005 04 121.9
2005 03 331·9
2005 02 251·8
2005 01 201·9
2004 12 551·9
2004 11 481.9
2004 10 41·9
2004 09 371.9
2004 08 232·0
2004 07 771.9
2004 06 552·0
2004 05 792·0
2004 04 912.0
2004 03 252.0
2004 02 151·9
2004 01 162·0
2002 12 592·0
2002 11 242.0
2002 10 482.0
2002 09 422.0
2002 08 532·0
2002 07 322·0
2002 06 402·0
2002 05 762·0
2002 04 232·0
2002 03 282·0
2002 02 62·0
2002 01 621.9
2001 12 442·0
2001 11 212·1
2001 10 832·0
2001 09 691·9
2001 08 171.9
2001 07 421.9
2001 06 341.8
2001 05 921.8
2001 04 681.8
2001 03 471.9
2001 02 471·8
2001 01 501.8
2000 12 461·8
2000 11 181.8
2000 10 351·8
2000 09 861.8
2000 08 281.8
2000 07 611·7
2000 06 351·8
2000 05 701·7
2000 04 121.7
2000 03 91.8
2000 02 111·7
2000 01 961·7
1999 12 261·8
1999 11 181·8
1999 10 501·8
1999 09 831·8
1999 08 191·9
1999 07 701·8
1999 06 651·8
1999 05 761.8
1999 04 661·8
1999 03 711.8
1999 02 951·9
1999 01 431.9
1998 12 691.8
1998 11 521.8
1998 10 21.8
1998 09 791·8
1998 08 521·8
1998 07 721.9
1998 06 731.9
1998 05 21.9
1998 04 651·8
1998 03 101.8
1998 02 231·8
1998 01 571.8
1997 12 851·8
1997 11 741·8
1997 10 881·9
1997 09 131·9
1997 08 121.8
1997 07 961.9
1997 06 321.8
1997 05 651.9
1997 04 701·8
1997 03 321·9
1997 02 431.9
1997 01 301·9
1996 12 111.9
1996 11 631·9
1996 10 321.9
1996 09 542·0
1996 08 92·0
1996 07 971.8
1996 06 401.9
1996 05 61.9
1996 04 661·9
1996 03 651.8
1996 02 271.9
1996 01 791·8
1995 12 61.9
1995 11 241.8
1995 10 831·8
1995 09 941.9
1995 08 801.9
1995 07 551.9
1995 06 191·8
1995 05 931.9
1995 04 641.9
1995 03 641.9
1995 02 741·8
1995 01 461·8
1994 12 571.8
1994 11 851.9
1993 12 121.8
1993 11 481.8
1993 10 851.8
1993 09 721.8
1993 08 181.8
1993 07 171·9
1993 06 991.8
1993 05 91.8
1993 04 81.8
1993 03 971.9
1993 02 731·9
1993 01 11·8
1992 12 181·9
1992 11 591·8
1992 10 91·8
1992 09 801·8
1992 08 111.8
1992 07 951.9
1992 06 311.8
1992 05 31·8
1992 04 751.8
1992 03 251·8
1992 02 911.9
1992 01 511·8
1991 12 241·8
1991 11 931.8
1991 10 631·8
1991 09 321.8
1991 08 941.8
1991 07 681·8
1991 06 481·9
1991 05 761·8
1991 04 491·8
1991 03 451.8
1991 02 711·8
1991 01 401·8
1990 12 781.7
1990 11 431.8
1990 10 821·8
1990 09 61.8
1990 08 911·7
1990 07 51·8
1990 06 581·7
1990 05 811·7
1990 04 291.8
1990 03 11.7
1990 02 981·7
1990 01 971.7
1989 12 531·7
1989 11 241·8
1989 10 271·7
1989 09 91·7
1989 08 511.8
1989 07 951·7
1989 06 971·7
1989 05 01.7
1989 04 361·7
1989 03 581·7
1989 02 831.7
1989 01 751·7
1988 12 471·6
1988 11 801.6
1988 10 841·6
1988 09 681.7
1988 08 451·7
1988 07 571.7
1988 06 271.7
1988 05 341.6
1988 04 201.6
1988 03 81.7
1988 02 611.7
1988 01 561·7
1987 12 831·7
1987 11 761·7
1987 10 631·7
1987 09 391·6
1987 08 731.7
1987 07 321·7
1987 06 321·7
1987 05 151·7
1987 04 531·6
1987 03 691·7
1987 02 941·7
1987 01 421.6
1986 12 101·7
1986 11 51.7
1986 10 991.7
1986 09 01·7
1986 08 571·7
1986 07 871·7
1986 06 231.7
1986 05 961.7
1986 04 331·7
1986 03 811.7
1986 02 661·7
1986 01 631.7
1985 12 991.7
1985 11 841.7
1985 10 541·6
1985 09 561·7
1985 08 451.7
1985 07 131·7
1985 06 361.7
1985 05 571·6
1985 04 831.6
1985 03 131·7
1985 02 891·7
1985 01 731.7
1984 12 511·7
1984 11 531.7
1984 10 121.7
1984 09 361.7
1984 08 111.8
1984 07 271·7
1984 06 311·7
1984 05 21.7
1984 04 521.7
1984 03 551.6
1984 02 971.7
1984 01 521.7
1983 12 861·7
1983 11 801·7
1983 10 841·7
1983 09 941.7
1983 08 521·7
1983 07 721.7
1983 06 941·7
1983 05 591·7
1983 04 121.7
1983 03 241.7
1983 02 511·7
1983 01 41·7
1982 12 541·7
1982 11 571·7
1982 10 71·7
1982 09 101·7
1982 08 911·7
1982 07 131.7
1982 06 351·7
1982 05 851·7
1982 04 611.7
1982 03 631·7
1982 02 381·7
1982 01 581·7
1981 12 271·6
1981 11 01.6
1981 10 391·6
1981 09 891·6
1981 08 771.6
1981 07 441·7
1981 06 901.6
1981 05 571.6
1981 04 231.6
1981 03 381·6
1981 02 661·7
1981 01 691·6
1980 12 41.6
1980 11 521·6
1980 10 681.6
1980 09 581.7
1980 08 821·6
1980 07 801·7
1980 06 201·6
1980 05 801.7
1980 04 461·6
1980 03 411.7
1980 02 731.7
1980 01 161.6
1979 12 81.6
1979 11 791·6
1979 10 21·6
1979 09 731.6
1979 08 51·6
1979 07 631.7
1979 06 91·6
1979 05 831·5
1979 04 21.6
1979 03 881.6
1979 02 181·6
1979 01 21·6
1978 12 851·6
1978 11 721·5
1978 10 791·5
1978 09 131.6
1978 08 691.6
1978 07 601.5
1978 06 691·5
1978 05 211·6
1978 04 901·6
1978 03 211.6
1978 02 871·6
1978 01 581.7
1977 12 111·6
1977 11 491.6
1977 10 591·6
1977 09 821.6
1977 08 211·6
1977 07 641·6
1977 06 351.6
1977 05 731·6
1977 04 321·7
1977 03 81.7
1977 02 901.7
1977 01 381·7
1976 12 821·7
1976 11 521·7
1976 10 261.6
1976 09 91.7
1976 08 351.7
1976 07 901.7
1976 06 671.7
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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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