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2012 04 11.6
2012 03 651·5
2012 02 651.7
2012 01 411·6
2011 12 591·7
2011 11 851·6
2011 10 861.7
2011 09 621·6
2011 08 911.7
2011 07 101·8
2011 06 151·6
2011 05 871.7
2011 04 451.7
2011 03 211.6
2011 02 631·6
2011 01 611·8
2010 12 971.7
2010 11 251·6
2010 10 701·5
2010 09 531.7
2010 08 481.7
2010 07 541.7
2010 06 971·6
2010 05 581.6
2010 04 241·7
2010 03 641.7
2010 02 331.7
2010 01 941.7
2009 12 741.7
2009 11 371·6
2009 10 911.7
2009 09 61.6
2009 08 731.6
2009 07 801·7
2009 06 81·7
2009 05 621.7
2009 04 241.6
2009 03 241·6
2009 02 471·5
2009 01 571.7
2008 12 501.7
2008 11 261·5
2008 10 971.5
2008 09 111.5
2008 08 21.5
2008 07 671.7
2008 06 701.7
2008 05 671·6
2008 04 551·5
2008 03 541·5
2008 02 41·6
2008 01 931.5
2007 12 101.5
2007 11 191·5
2007 10 621.5
2007 09 861.6
2007 08 931·4
2007 07 191.6
2007 06 321.6
2007 05 631.6
2007 04 531.6
2007 03 341.7
2007 02 271.5
2007 01 691.7
2006 12 671·6
2006 11 721.6
2006 10 841.5
2006 09 721.6
2006 08 341·6
2006 07 651.7
2006 06 671.6
2006 05 681·5
2006 04 791.6
2006 03 681.5
2006 02 631·6
2006 01 751·6
2005 12 541.5
2005 11 651.6
2005 10 851·6
2005 09 371·6
2005 08 341.4
2005 07 601·5
2005 06 721·5
2005 05 231.6
2005 04 181·6
2005 03 861·5
2005 02 861.6
2005 01 281.7
2004 12 331.6
2004 11 01.6
2004 10 141·6
2004 09 711.7
2004 08 291.6
2004 07 831·7
2004 06 711·7
2004 05 961.6
2004 04 811.5
2004 03 421.5
2004 02 931.6
2004 01 721.7
2002 12 891.5
2002 11 81.5
2002 10 441·6
2002 09 931·5
2002 08 801.6
2002 07 381·6
2002 06 121·6
2002 05 781.6
2002 04 21.5
2002 03 141.6
2002 02 91·5
2002 01 711.6
2001 12 331·5
2001 11 431·6
2001 10 731·7
2001 09 431.5
2001 08 721·4
2001 07 551·6
2001 06 671·5
2001 05 851·5
2001 04 441·4
2001 03 81·5
2001 02 801·4
2001 01 191·5
2000 12 01.5
2000 11 841·4
2000 10 231·5
2000 09 881.5
2000 08 151.6
2000 07 881.5
2000 06 361.4
2000 05 611.4
2000 04 901.5
2000 03 531.6
2000 02 801·6
2000 01 321·4
1999 12 511.4
1999 11 351.5
1999 10 441.5
1999 09 201·6
1999 08 461.6
1999 07 161.6
1999 06 401.5
1999 05 711.6
1999 04 531·5
1999 03 31.4
1999 02 71.4
1999 01 511·5
1998 12 711·4
1998 11 261.6
1998 10 71.5
1998 09 571·6
1998 08 251.6
1998 07 441·6
1998 06 291·6
1998 05 71.6
1998 04 671.5
1998 03 361.6
1998 02 841·5
1998 01 441·6
1997 12 711·5
1997 11 111.5
1997 10 121.7
1997 09 391·5
1997 08 371·5
1997 07 01·5
1997 06 741.6
1997 05 861.6
1997 04 921·5
1997 03 591·6
1997 02 591.5
1997 01 31.6
1996 12 861.5
1996 11 701·5
1996 10 801·6
1996 09 341·6
1996 08 941.5
1996 07 391·6
1996 06 741·5
1996 05 501·6
1996 04 161.5
1996 03 991.4
1996 02 51·6
1996 01 431.6
1995 12 771·6
1995 11 61.5
1995 10 601·5
1995 09 331·5
1995 08 291.5
1995 07 411.5
1995 06 531.5
1995 05 651·5
1995 04 471·5
1995 03 121.5
1995 02 211·5
1995 01 71·6
1994 12 301.5
1994 11 491·5
1993 12 261·4
1993 11 541.5
1993 10 51.4
1993 09 101.5
1993 08 581·5
1993 07 241·6
1993 06 211·5
1993 05 751.4
1993 04 281.4
1993 03 621·5
1993 02 551·4
1993 01 531·5
1992 12 751.4
1992 11 371·4
1992 10 61·5
1992 09 741·5
1992 08 621·4
1992 07 431.5
1992 06 01.5
1992 05 951·4
1992 04 761.4
1992 03 01.4
1992 02 871·5
1992 01 981·4
1991 12 301.4
1991 11 501·4
1991 10 431·3
1991 09 891·3
1991 08 631·4
1991 07 651·5
1991 06 681.4
1991 05 01·3
1991 04 371.4
1991 03 361.4
1991 02 881·3
1991 01 871.4
1990 12 391·4
1990 11 851.4
1990 10 521·4
1990 09 331.4
1990 08 841·5
1990 07 551.4
1990 06 371.4
1990 05 441.4
1990 04 91·4
1990 03 141.3
1990 02 421.4
1990 01 511.4
1989 12 761·4
1989 11 581.3
1989 10 941.4
1989 09 111.4
1989 08 741.5
1989 07 51.4
1989 06 411.4
1989 05 61.4
1989 04 151·4
1989 03 01·5
1989 02 611.4
1989 01 431·4
1988 12 381·3
1988 11 111.4
1988 10 531·3
1988 09 531·4
1988 08 51·4
1988 07 341·5
1988 06 421.5
1988 05 921.3
1988 04 41·3
1988 03 861.4
1988 02 791·4
1988 01 431.4
1987 12 491.3
1987 11 121·4
1987 10 401·4
1987 09 111.4
1987 08 761·3
1987 07 811·5
1987 06 241·4
1987 05 301.4
1987 04 491·3
1987 03 871.4
1987 02 581·4
1987 01 541.4
1986 12 551.4
1986 11 511·3
1986 10 911.4
1986 09 671.4
1986 08 91.5
1986 07 141.5
1986 06 991.4
1986 05 741.4
1986 04 471·4
1986 03 481.4
1986 02 821.4
1986 01 71.4
1985 12 321.4
1985 11 451.4
1985 10 661·4
1985 09 231.5
1985 08 521·5
1985 07 251·4
1985 06 21.4
1985 05 41.4
1985 04 211.4
1985 03 331.4
1985 02 631·4
1985 01 561.5
1984 12 761.5
1984 11 371·5
1984 10 521·4
1984 09 101·4
1984 08 801·4
1984 07 311·5
1984 06 931·5
1984 05 241·3
1984 04 201·3
1984 03 351.3
1984 02 361·4
1984 01 791·5
1983 12 111.4
1983 11 931·4
1983 10 581·4
1983 09 821·4
1983 08 881·5
1983 07 731.5
1983 06 581·4
1983 05 641·4
1983 04 171·4
1983 03 711.4
1983 02 621·4
1983 01 821.5
1982 12 841·4
1982 11 51.4
1982 10 201.4
1982 09 181.4
1982 08 21·5
1982 07 191.5
1982 06 81.5
1982 05 771.5
1982 04 91.5
1982 03 821.5
1982 02 251·4
1982 01 931.4
1981 12 691·4
1981 11 891·4
1981 10 981·4
1981 09 211·4
1981 08 681.4
1981 07 591·5
1981 06 771·4
1981 05 441.4
1981 04 201·4
1981 03 361.5
1981 02 371·4
1981 01 671·5
1980 12 631·3
1980 11 891.4
1980 10 791·4
1980 09 231.4
1980 08 601.5
1980 07 111·5
1980 06 281.5
1980 05 671.4
1980 04 981·4
1980 03 241·4
1980 02 341.4
1980 01 831·4
1979 12 911.3
1979 11 691.4
1979 10 721·4
1979 09 761.5
1979 08 761·5
1979 07 171·4
1979 06 441·4
1979 05 781.3
1979 04 161·4
1979 03 621·4
1979 02 751.4
1979 01 451·4
1978 12 991.4
1978 11 231·4
1978 10 141·4
1978 09 601.3
1978 08 391.4
1978 07 431.4
1978 06 381.4
1978 05 291·4
1978 04 721.4
1978 03 931·4
1978 02 461·4
1978 01 831.4
1977 12 621·3
1977 11 661.4
1977 10 641.4
1977 09 801·4
1977 08 961.4
1977 07 821·5
1977 06 431·4
1977 05 01.4
1977 04 881·3
1977 03 841·4
1977 02 581.4
1977 01 511·4
1976 12 761.4
1976 11 421.4
1976 10 91.4
1976 09 641·4
1976 08 221.5
1976 07 491.5
1976 06 221.4
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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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