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2012 04 911.6
2012 03 481.6
2012 02 161.7
2012 01 41.6
2011 12 461.7
2011 11 751·7
2011 10 301·7
2011 09 781.7
2011 08 671·7
2011 07 11.7
2011 06 461.7
2011 05 511.7
2011 04 51·7
2011 03 71.7
2011 02 751·6
2011 01 671·7
2010 12 351.7
2010 11 01.6
2010 10 561·6
2010 09 951.7
2010 08 571.7
2010 07 111·7
2010 06 521·6
2010 05 291·6
2010 04 981.7
2010 03 981.7
2010 02 501·7
2010 01 881.7
2009 12 71·7
2009 11 401·7
2009 10 631·7
2009 09 161.6
2009 08 591.7
2009 07 471·7
2009 06 301.7
2009 05 831·7
2009 04 561.7
2009 03 481·6
2009 02 131.6
2009 01 831·7
2008 12 221.7
2008 11 11.6
2008 10 01·6
2008 09 341.6
2008 08 81.6
2008 07 871.7
2008 06 31.6
2008 05 821.6
2008 04 891.5
2008 03 131.5
2008 02 621·6
2008 01 941·6
2007 12 661·5
2007 11 101·6
2007 10 381·6
2007 09 661.6
2007 08 631.4
2007 07 361.5
2007 06 201·6
2007 05 151·5
2007 04 331·6
2007 03 711·6
2007 02 201.5
2007 01 881·6
2006 12 491.6
2006 11 231.5
2006 10 771.6
2006 09 521·6
2006 08 121·6
2006 07 231.7
2006 06 531.6
2006 05 21·5
2006 04 481·6
2006 03 271·5
2006 02 361.6
2006 01 571·6
2005 12 61·5
2005 11 181·6
2005 10 401·6
2005 09 601.6
2005 08 631·6
2005 07 21·6
2005 06 11.6
2005 05 821·5
2005 04 191.6
2005 03 111·5
2005 02 831·5
2005 01 171.6
2004 12 991.5
2004 11 11.6
2004 10 731·6
2004 09 831·6
2004 08 541·6
2004 07 531.6
2004 06 861.6
2004 05 241·6
2004 04 591.6
2004 03 761·6
2004 02 581.6
2004 01 101.6
2002 12 131·5
2002 11 991·5
2002 10 521.6
2002 09 351.5
2002 08 441·6
2002 07 811.6
2002 06 561.6
2002 05 181·5
2002 04 11.6
2002 03 11·6
2002 02 841.5
2002 01 41.6
2001 12 591·6
2001 11 691·6
2001 10 731·6
2001 09 601·6
2001 08 191·5
2001 07 131·6
2001 06 861.5
2001 05 821.5
2001 04 61.4
2001 03 921·5
2001 02 101.5
2001 01 891.5
2000 12 711.5
2000 11 881·4
2000 10 591·5
2000 09 241·5
2000 08 891.6
2000 07 61.5
2000 06 711·5
2000 05 581·4
2000 04 611·5
2000 03 781.6
2000 02 91.5
2000 01 831·4
1999 12 111.4
1999 11 611·5
1999 10 601.5
1999 09 201.6
1999 08 911.6
1999 07 371.6
1999 06 371·5
1999 05 111·5
1999 04 751·5
1999 03 121.4
1999 02 781·5
1999 01 281·6
1998 12 641·4
1998 11 181·6
1998 10 471·5
1998 09 621·5
1998 08 841.6
1998 07 111·6
1998 06 301·6
1998 05 351.6
1998 04 841.5
1998 03 741.5
1998 02 411·5
1998 01 891·5
1997 12 411.5
1997 11 121.6
1997 10 181.6
1997 09 951·5
1997 08 541.5
1997 07 581.5
1997 06 241.6
1997 05 451.5
1997 04 491.5
1997 03 681.5
1997 02 461·5
1997 01 601.6
1996 12 771.5
1996 11 241.5
1996 10 981.6
1996 09 841.6
1996 08 121·6
1996 07 321·6
1996 06 171·5
1996 05 841·5
1996 04 551·5
1996 03 241.4
1996 02 661.5
1996 01 571·5
1995 12 321·6
1995 11 571.5
1995 10 331.5
1995 09 201·5
1995 08 931.5
1995 07 121.5
1995 06 311.5
1995 05 191.5
1995 04 131.5
1995 03 961.6
1995 02 981.5
1995 01 211.5
1994 12 931.6
1994 11 411·6
1993 12 971.4
1993 11 221·4
1993 10 581.4
1993 09 31·4
1993 08 161.4
1993 07 401·5
1993 06 581.4
1993 05 631·5
1993 04 671·4
1993 03 201·5
1993 02 691·4
1993 01 301·4
1992 12 881.5
1992 11 311·4
1992 10 921.5
1992 09 331·5
1992 08 431·5
1992 07 661·6
1992 06 511·5
1992 05 301·4
1992 04 191·4
1992 03 451·4
1992 02 971·4
1992 01 21.5
1991 12 291.4
1991 11 131·4
1991 10 61·3
1991 09 571·4
1991 08 121.4
1991 07 371.5
1991 06 771.5
1991 05 251.5
1991 04 291.4
1991 03 131·5
1991 02 371·4
1991 01 641·5
1990 12 681.4
1990 11 601·4
1990 10 351.5
1990 09 551·5
1990 08 441·5
1990 07 211·4
1990 06 471.5
1990 05 41.4
1990 04 931·4
1990 03 661·4
1990 02 741.4
1990 01 431·4
1989 12 791.4
1989 11 891·3
1989 10 411.4
1989 09 301.4
1989 08 891·5
1989 07 101·4
1989 06 971·4
1989 05 451.4
1989 04 361·4
1989 03 711·4
1989 02 191·4
1989 01 951·4
1988 12 581·3
1988 11 431.4
1988 10 71.3
1988 09 121.3
1988 08 181.4
1988 07 191·4
1988 06 871·4
1988 05 521.3
1988 04 41·3
1988 03 191·4
1988 02 81.4
1988 01 981.4
1987 12 291.4
1987 11 871.4
1987 10 461.4
1987 09 551.4
1987 08 311.4
1987 07 911.5
1987 06 21·4
1987 05 561.4
1987 04 721·4
1987 03 271.4
1987 02 11·4
1987 01 561·4
1986 12 411·4
1986 11 131·4
1986 10 931.4
1986 09 391·4
1986 08 501.4
1986 07 941·5
1986 06 541.4
1986 05 91.4
1986 04 381.4
1986 03 381·4
1986 02 831·4
1986 01 01·4
1985 12 661.4
1985 11 391·4
1985 10 81.4
1985 09 671.5
1985 08 241.5
1985 07 171·4
1985 06 771.5
1985 05 931·4
1985 04 231·4
1985 03 171.4
1985 02 661·4
1985 01 831·4
1984 12 21.4
1984 11 61.4
1984 10 761·4
1984 09 701.4
1984 08 241·4
1984 07 801.5
1984 06 321·5
1984 05 101·4
1984 04 771·4
1984 03 571·3
1984 02 841·4
1984 01 851·5
1983 12 731·4
1983 11 811.4
1983 10 81·4
1983 09 11.4
1983 08 511.4
1983 07 221·5
1983 06 51.5
1983 05 901.5
1983 04 721·4
1983 03 741·4
1983 02 991·4
1983 01 91.5
1982 12 261.4
1982 11 551.4
1982 10 411.5
1982 09 401·4
1982 08 251·5
1982 07 111.5
1982 06 61.5
1982 05 881.5
1982 04 71.5
1982 03 101.5
1982 02 951.4
1982 01 861.5
1981 12 351·4
1981 11 461.4
1981 10 341.4
1981 09 911.4
1981 08 961·5
1981 07 391·5
1981 06 711·4
1981 05 831·4
1981 04 41.4
1981 03 331.5
1981 02 841.5
1981 01 701.4
1980 12 971.4
1980 11 961·4
1980 10 721·4
1980 09 831.4
1980 08 371.5
1980 07 231.5
1980 06 611.5
1980 05 791.5
1980 04 121.4
1980 03 331·4
1980 02 11·4
1980 01 391·4
1979 12 351.4
1979 11 701·4
1979 10 671.4
1979 09 701·5
1979 08 451·5
1979 07 41·5
1979 06 601.4
1979 05 51·4
1979 04 31·4
1979 03 281·4
1979 02 61.4
1979 01 981.4
1978 12 981.4
1978 11 611·3
1978 10 541·4
1978 09 331.4
1978 08 431·5
1978 07 491.4
1978 06 801·4
1978 05 151·4
1978 04 761.4
1978 03 591·4
1978 02 851·4
1978 01 771·4
1977 12 591·4
1977 11 861.4
1977 10 941·4
1977 09 751·4
1977 08 811·5
1977 07 501·5
1977 06 571.4
1977 05 901·4
1977 04 531·4
1977 03 931·4
1977 02 491·5
1977 01 291.4
1976 12 161.4
1976 11 871·4
1976 10 711·4
1976 09 251·4
1976 08 301.5
1976 07 231·5
1976 06 491.5
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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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