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2012 04 91·7
2012 03 191·7
2012 02 841·7
2012 01 451·7
2011 12 661·7
2011 11 131.8
2011 10 541·8
2011 09 891.8
2011 08 961.7
2011 07 111·8
2011 06 311·8
2011 05 371·7
2011 04 481·7
2011 03 961·8
2011 02 281·7
2011 01 351.8
2010 12 991·7
2010 11 731.7
2010 10 831.7
2010 09 511·8
2010 08 491·8
2010 07 761·8
2010 06 591.7
2010 05 791·6
2010 04 221.7
2010 03 591·8
2010 02 431·8
2010 01 381·9
2009 12 711·8
2009 11 61·7
2009 10 491·7
2009 09 731·7
2009 08 691.8
2009 07 221.7
2009 06 151·8
2009 05 531·7
2009 04 181·7
2009 03 391·7
2009 02 31·6
2009 01 721.7
2008 12 421·7
2008 11 151.6
2008 10 11.7
2008 09 491.7
2008 08 921·7
2008 07 291·6
2008 06 231·7
2008 05 281·7
2008 04 441.5
2008 03 901·5
2008 02 51.7
2008 01 791.6
2007 12 981·5
2007 11 281.6
2007 10 121.5
2007 09 941.6
2007 08 791·5
2007 07 11.5
2007 06 301.6
2007 05 951·5
2007 04 381·5
2007 03 901·5
2007 02 731.6
2007 01 241.5
2006 12 501.6
2006 11 21.5
2006 10 791·6
2006 09 511·6
2006 08 151·6
2006 07 681.7
2006 06 101·6
2006 05 701.6
2006 04 591·7
2006 03 451.5
2006 02 541·5
2006 01 01.6
2005 12 321.5
2005 11 141.5
2005 10 251·6
2005 09 861·7
2005 08 101.6
2005 07 831.6
2005 06 601.5
2005 05 961·6
2005 04 931.7
2005 03 831·5
2005 02 231.5
2005 01 241.6
2004 12 71·5
2004 11 701.6
2004 10 01.7
2004 09 911.6
2004 08 11.6
2004 07 271·7
2004 06 51.7
2004 05 391.6
2004 04 511·6
2004 03 591.6
2004 02 751·6
2004 01 381.7
2002 12 581·5
2002 11 981·5
2002 10 751·6
2002 09 821·6
2002 08 471.6
2002 07 21·6
2002 06 911·5
2002 05 911.5
2002 04 681.6
2002 03 521·6
2002 02 361·5
2002 01 81·6
2001 12 971.6
2001 11 541·8
2001 10 491.6
2001 09 31.6
2001 08 341·5
2001 07 401·6
2001 06 921.5
2001 05 691·4
2001 04 51.5
2001 03 661·5
2001 02 531·6
2001 01 261.5
2000 12 591·5
2000 11 151.5
2000 10 451·5
2000 09 181·5
2000 08 731.7
2000 07 931·6
2000 06 61.6
2000 05 151.3
2000 04 471.5
2000 03 311.5
2000 02 981·6
2000 01 91.4
1999 12 61·4
1999 11 871·5
1999 10 101.5
1999 09 211.6
1999 08 01.6
1999 07 411.6
1999 06 551·5
1999 05 951·5
1999 04 51·5
1999 03 11.5
1999 02 711·5
1999 01 991·5
1998 12 211.4
1998 11 981·5
1998 10 191.4
1998 09 281.5
1998 08 741.6
1998 07 891·7
1998 06 891.6
1998 05 11.6
1998 04 141·6
1998 03 551·5
1998 02 931·4
1998 01 621.5
1997 12 161.5
1997 11 31.7
1997 10 691·6
1997 09 811·6
1997 08 811·5
1997 07 651·5
1997 06 801·5
1997 05 501.6
1997 04 351·6
1997 03 981·6
1997 02 131·6
1997 01 911·6
1996 12 271·4
1996 11 821.6
1996 10 831.6
1996 09 461.5
1996 08 331·5
1996 07 251.6
1996 06 251·5
1996 05 851.4
1996 04 531.5
1996 03 581.4
1996 02 51.4
1996 01 11·4
1995 12 131.6
1995 11 391·4
1995 10 81.5
1995 09 151.6
1995 08 641.6
1995 07 471.6
1995 06 491·5
1995 05 701.6
1995 04 801·5
1995 03 911·5
1995 02 651·6
1995 01 361.5
1994 12 621·5
1994 11 21.5
1993 12 191·5
1993 11 61.5
1993 10 351.5
1993 09 361.5
1993 08 991.5
1993 07 01·5
1993 06 501·4
1993 05 751.4
1993 04 181.4
1993 03 611·4
1993 02 821.4
1993 01 261·4
1992 12 141·5
1992 11 601·4
1992 10 311.6
1992 09 211.5
1992 08 491.5
1992 07 891·6
1992 06 241.5
1992 05 151.4
1992 04 111·4
1992 03 691·4
1992 02 101.5
1992 01 911.5
1991 12 141.4
1991 11 431·4
1991 10 641·4
1991 09 561.4
1991 08 951·4
1991 07 811·5
1991 06 871.5
1991 05 401·5
1991 04 171.4
1991 03 761·4
1991 02 51.4
1991 01 11·4
1990 12 691·4
1990 11 481·4
1990 10 681·5
1990 09 201.5
1990 08 621.5
1990 07 411·5
1990 06 511.5
1990 05 51·4
1990 04 351.5
1990 03 241.4
1990 02 551·6
1990 01 851·5
1989 12 511·5
1989 11 921.5
1989 10 51.5
1989 09 191.5
1989 08 971.5
1989 07 621.5
1989 06 511.4
1989 05 871·4
1989 04 871.3
1989 03 801·4
1989 02 691·4
1989 01 971·3
1988 12 581.3
1988 11 151·3
1988 10 591.3
1988 09 811.4
1988 08 731·4
1988 07 611·4
1988 06 471.4
1988 05 931.4
1988 04 211·3
1988 03 361·4
1988 02 831.4
1988 01 171·4
1987 12 141.4
1987 11 861.3
1987 10 421.4
1987 09 601·4
1987 08 891·4
1987 07 781.4
1987 06 251·4
1987 05 511.4
1987 04 111.3
1987 03 81·4
1987 02 571·4
1987 01 501·4
1986 12 661·4
1986 11 951·4
1986 10 881·4
1986 09 351.5
1986 08 681.5
1986 07 821·5
1986 06 951·4
1986 05 161.5
1986 04 541·4
1986 03 391.4
1986 02 761·5
1986 01 231·5
1985 12 881.3
1985 11 601·4
1985 10 591.4
1985 09 121·4
1985 08 571.5
1985 07 641·4
1985 06 931.5
1985 05 661·4
1985 04 741·4
1985 03 951.4
1985 02 531.4
1985 01 921·5
1984 12 771·5
1984 11 221·5
1984 10 401.5
1984 09 201.5
1984 08 291·5
1984 07 401·5
1984 06 791·5
1984 05 71·4
1984 04 181·3
1984 03 671.3
1984 02 211.5
1984 01 351.5
1983 12 571.4
1983 11 481·4
1983 10 411·4
1983 09 121·4
1983 08 831.4
1983 07 521·5
1983 06 391·4
1983 05 671.4
1983 04 601.4
1983 03 731·4
1983 02 421.4
1983 01 581·4
1982 12 751.4
1982 11 301·4
1982 10 981.5
1982 09 671·4
1982 08 421·4
1982 07 681·5
1982 06 841.4
1982 05 11·4
1982 04 981·4
1982 03 551·4
1982 02 11·4
1982 01 901.4
1981 12 61·4
1981 11 851.4
1981 10 721.4
1981 09 921.4
1981 08 541.4
1981 07 791.5
1981 06 491·4
1981 05 871·4
1981 04 541.4
1981 03 791.4
1981 02 81.4
1981 01 841.4
1980 12 461.3
1980 11 551.4
1980 10 481.4
1980 09 131·4
1980 08 911·4
1980 07 11.5
1980 06 951.4
1980 05 311.4
1980 04 781·4
1980 03 371·4
1980 02 01.4
1980 01 201.4
1979 12 191.4
1979 11 61·3
1979 10 371.4
1979 09 871.5
1979 08 521.4
1979 07 771.4
1979 06 71·4
1979 05 621.3
1979 04 411.4
1979 03 461·4
1979 02 361·4
1979 01 31.4
1978 12 721·4
1978 11 301.3
1978 10 741.4
1978 09 911.3
1978 08 601.4
1978 07 741·4
1978 06 961·3
1978 05 341.4
1978 04 411.4
1978 03 471·4
1978 02 31·4
1978 01 611.3
1977 12 801·3
1977 11 441.4
1977 10 191·5
1977 09 311.5
1977 08 631.4
1977 07 831.5
1977 06 971·4
1977 05 251.4
1977 04 31.4
1977 03 81·2
1977 02 101.4
1977 01 501.4
1976 12 391·4
1976 11 891.4
1976 10 591·4
1976 09 361·4
1976 08 341.4
1976 07 201.5
1976 06 701.4
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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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