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2012 04 401.9
2012 03 92.0
2012 02 402.0
2012 01 372.0
2011 12 252.0
2011 11 332.0
2011 10 942·0
2011 09 672·0
2011 08 942.0
2011 07 752.0
2011 06 672·0
2011 05 152.0
2011 04 992.0
2011 03 152·0
2011 02 732·0
2011 01 242.0
2010 12 152·1
2010 11 612·1
2010 10 492·1
2010 09 652·0
2010 08 422·0
2010 07 442.0
2010 06 592.0
2010 05 302·0
2010 04 62·1
2010 03 212.0
2010 02 892·0
2010 01 392.0
2009 12 572.1
2009 11 732.0
2009 10 542.0
2009 09 362.0
2009 08 712·0
2009 07 72·0
2009 06 912.1
2009 05 902·1
2009 04 472.1
2009 03 552·0
2009 02 632·0
2009 01 962·0
2008 12 112·0
2008 11 742.0
2008 10 572·0
2008 09 721.9
2008 08 141.9
2008 07 441·9
2008 06 881.9
2008 05 631.9
2008 04 311.9
2008 03 731.9
2008 02 921.8
2008 01 381·9
2007 12 621.8
2007 11 921·9
2007 10 321.9
2007 09 911·8
2007 08 331.8
2007 07 581.9
2007 06 961.8
2007 05 401·8
2007 04 951·8
2007 03 531.9
2007 02 981·8
2007 01 311.9
2006 12 221·8
2006 11 831.8
2006 10 751.8
2006 09 331·9
2006 08 141·8
2006 07 791.8
2006 06 901.8
2006 05 391.8
2006 04 991·8
2006 03 991.8
2006 02 311.8
2006 01 691·8
2005 12 241.8
2005 11 251.8
2005 10 111.9
2005 09 661·9
2005 08 671.8
2005 07 621·9
2005 06 671·8
2005 05 01·9
2005 04 281.9
2005 03 421.9
2005 02 631·9
2005 01 661.9
2004 12 311·9
2004 11 221·9
2004 10 861.9
2004 09 821·9
2004 08 281·9
2004 07 841.9
2004 06 501.9
2004 05 922·0
2004 04 932.0
2004 03 351·9
2004 02 921·9
2004 01 652.0
2002 12 281·9
2002 11 51·9
2002 10 761.9
2002 09 971.9
2002 08 572·0
2002 07 521.9
2002 06 881·9
2002 05 51·9
2002 04 301·9
2002 03 571·9
2002 02 421·9
2002 01 341.9
2001 12 241·9
2001 11 272.0
2001 10 762.0
2001 09 531·9
2001 08 391·9
2001 07 941.8
2001 06 531·8
2001 05 561·8
2001 04 01.8
2001 03 141·8
2001 02 601.8
2001 01 621.8
2000 12 571.8
2000 11 681·8
2000 10 111·8
2000 09 161·8
2000 08 861.8
2000 07 641.7
2000 06 431.7
2000 05 871.7
2000 04 871·7
2000 03 331.8
2000 02 191·7
2000 01 691.7
1999 12 861.7
1999 11 321.8
1999 10 281·8
1999 09 801.8
1999 08 321·8
1999 07 421.8
1999 06 811·7
1999 05 651.8
1999 04 21·8
1999 03 701·7
1999 02 181.8
1999 01 941·8
1998 12 961·8
1998 11 481.8
1998 10 01.8
1998 09 601·7
1998 08 391·8
1998 07 321·8
1998 06 161·8
1998 05 831·8
1998 04 821.8
1998 03 41.8
1998 02 791.8
1998 01 61.8
1997 12 991·8
1997 11 701·8
1997 10 261.9
1997 09 981.8
1997 08 921.8
1997 07 631.8
1997 06 211·8
1997 05 551·8
1997 04 851·7
1997 03 381·8
1997 02 511.8
1997 01 951.8
1996 12 301.8
1996 11 781.8
1996 10 291·8
1996 09 621·9
1996 08 11·8
1996 07 891·9
1996 06 931·8
1996 05 251·8
1996 04 991·8
1996 03 31·8
1996 02 61.8
1996 01 791.8
1995 12 491·8
1995 11 771·8
1995 10 561.8
1995 09 421.8
1995 08 21.8
1995 07 911·8
1995 06 561.7
1995 05 591.8
1995 04 331.8
1995 03 531.8
1995 02 431.8
1995 01 991·8
1994 12 421.8
1994 11 941·8
1994 01 811.9
1993 12 561·7
1993 11 551.7
1993 10 721.7
1993 09 571·7
1993 08 491.8
1993 07 231·8
1993 06 671.7
1993 05 851.7
1993 04 231.7
1993 03 201·8
1993 02 861.8
1993 01 11.8
1992 12 461·8
1992 11 471.8
1992 10 611·8
1992 09 701·8
1992 08 121·8
1992 07 301.8
1992 06 491·7
1992 05 791.7
1992 04 411.8
1992 03 181·7
1992 02 301·8
1992 01 411·8
1991 12 771.7
1991 11 871.7
1991 10 131·7
1991 09 931·7
1991 08 891·7
1991 07 381.7
1991 06 281·7
1991 05 991.7
1991 04 721·8
1991 03 961·8
1991 02 321.7
1991 01 471·7
1990 12 431.7
1990 11 121·7
1990 10 71.7
1990 09 491.7
1990 08 481·7
1990 07 601·7
1990 06 591.7
1990 05 431·7
1990 04 561.7
1990 03 411·7
1990 02 211·7
1990 01 931·7
1989 12 601·7
1989 11 811.7
1989 10 481·7
1989 09 851.6
1989 08 801.7
1989 07 301·6
1989 06 221·6
1989 05 341.6
1989 04 601·6
1989 03 631·7
1989 02 501.7
1989 01 761.6
1988 12 691·6
1988 11 801·6
1988 10 641·6
1988 09 761·6
1988 08 11·7
1988 07 81.6
1988 06 201·6
1988 05 191·6
1988 04 761.6
1988 03 961·6
1988 02 01·6
1988 01 211.6
1987 12 381.6
1987 11 211.6
1987 10 101.6
1987 09 181·6
1987 08 551.6
1987 07 811.6
1987 06 821·6
1987 05 731.6
1987 04 221·6
1987 03 31.6
1987 02 741.6
1987 01 751·6
1986 12 581.6
1986 11 371.6
1986 10 651·6
1986 09 351·6
1986 08 71.6
1986 07 591·6
1986 06 641.6
1986 05 931·6
1986 04 381·6
1986 03 681·7
1986 02 11.6
1986 01 101.7
1985 12 461.6
1985 11 911.6
1985 10 341·6
1985 09 751·6
1985 08 491.7
1985 07 771.6
1985 06 441.6
1985 05 11.6
1985 04 921·6
1985 03 21·7
1985 02 371.6
1985 01 261·7
1984 12 441·6
1984 11 661·6
1984 10 461.6
1984 09 121·6
1984 08 981.7
1984 07 961.6
1984 06 261·6
1984 05 471·6
1984 04 751.6
1984 03 401·6
1984 02 601.6
1984 01 451·7
1983 12 181·7
1983 11 751.6
1983 10 551.6
1983 09 421·7
1983 08 971·6
1983 07 11·7
1983 06 411.6
1983 05 31·6
1983 04 51.6
1983 03 441.6
1983 02 751.6
1983 01 151·7
1982 12 611.6
1982 11 531.6
1982 10 401·6
1982 09 901.6
1982 08 111·6
1982 07 41.6
1982 06 421.6
1982 05 671.6
1982 04 221·7
1982 03 981·7
1982 02 111·6
1982 01 91.6
1981 12 891.6
1981 11 591·6
1981 10 61.6
1981 09 31·6
1981 08 321·6
1981 07 391.6
1981 06 81.6
1981 05 621.6
1981 04 941·6
1981 03 131·6
1981 02 231·6
1981 01 251.6
1980 12 451·6
1980 11 801.4
1980 10 821·6
1980 09 541·6
1980 08 781.6
1980 07 671.6
1980 06 441.6
1980 05 371·6
1980 04 131·6
1980 03 241·6
1980 02 881·6
1980 01 871.5
1979 12 941.5
1979 11 271·5
1979 10 231·5
1979 09 411·6
1979 08 901.6
1979 07 741·6
1979 06 791.5
1979 05 641.5
1979 04 951.6
1979 03 931·5
1979 02 131·6
1979 01 421·6
1978 12 281.5
1978 11 341·5
1978 10 71.5
1978 09 881.5
1978 08 341·5
1978 07 711.5
1978 06 671·5
1978 05 411·5
1978 04 821·5
1978 03 51.6
1978 02 261.6
1978 01 631·6
1977 12 661·6
1977 11 621.6
1977 10 391·6
1977 09 421·5
1977 08 41.6
1977 07 921·6
1977 06 891.6
1977 05 921.6
1977 04 411·6
1977 03 701·6
1977 02 811·6
1977 01 491·6
1976 12 471.6
1976 11 971·6
1976 10 481.6
1976 09 771.6
1976 08 151.6
1976 07 981.6
1976 06 471.6
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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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