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2012 04 661·6
2012 03 701·7
2012 02 351.7
2012 01 701.6
2011 12 91.7
2011 11 851·7
2011 10 371.7
2011 09 321.7
2011 08 171.7
2011 07 991·7
2011 06 401·7
2011 05 931·7
2011 04 431.6
2011 03 921·7
2011 02 571·5
2011 01 961·7
2010 12 601·7
2010 11 731.6
2010 10 261.6
2010 09 111.7
2010 08 711.7
2010 07 711.8
2010 06 91.7
2010 05 321.6
2010 04 991.7
2010 03 451.7
2010 02 941·7
2010 01 791.8
2009 12 951.7
2009 11 751·7
2009 10 951.7
2009 09 951.6
2009 08 351·8
2009 07 691.8
2009 06 491·7
2009 05 491·7
2009 04 191.8
2009 03 581·6
2009 02 201·7
2009 01 371·7
2008 12 721·7
2008 11 981.7
2008 10 941·7
2008 09 751·7
2008 08 461.7
2008 07 721.7
2008 06 851.6
2008 05 101.6
2008 04 141·6
2008 03 851.5
2008 02 311.6
2008 01 101.6
2007 12 791·5
2007 11 701.6
2007 10 951·6
2007 09 691.5
2007 08 641.5
2007 07 831.5
2007 06 641·6
2007 05 71·5
2007 04 211·6
2007 03 61·6
2007 02 521·5
2007 01 671·5
2006 12 241.6
2006 11 451·5
2006 10 971·6
2006 09 181.6
2006 08 751.5
2006 07 331·6
2006 06 601.6
2006 05 561·5
2006 04 981.6
2006 03 251.5
2006 02 311.5
2006 01 981.6
2005 12 441·5
2005 11 31·6
2005 10 211·6
2005 09 891.5
2005 08 891.7
2005 07 751·6
2005 06 701·6
2005 05 991.5
2005 04 321.7
2005 03 711.5
2005 02 401·5
2005 01 201·5
2004 12 01.5
2004 11 481.6
2004 10 181·7
2004 09 741·6
2004 08 421.6
2004 07 881.6
2004 06 181·6
2004 05 31.6
2004 04 341.7
2004 03 981·6
2004 02 771.6
2004 01 761·6
2002 12 771·6
2002 11 91·6
2002 10 591·6
2002 09 891.6
2002 08 951.6
2002 07 781·6
2002 06 511.6
2002 05 601.5
2002 04 391.6
2002 03 861.6
2002 02 661.5
2002 01 321.5
2001 12 841.6
2001 11 411·7
2001 10 421.6
2001 09 761.6
2001 08 321.6
2001 07 731.6
2001 06 421·5
2001 05 861.5
2001 04 71.5
2001 03 401·6
2001 02 541·5
2001 01 801.4
2000 12 591·5
2000 11 231·4
2000 10 911.4
2000 09 31.5
2000 08 651·5
2000 07 281·5
2000 06 911·6
2000 05 241·4
2000 04 241.5
2000 03 881.6
2000 02 161·4
2000 01 371·4
1999 12 621·5
1999 11 581.4
1999 10 541·4
1999 09 611·6
1999 08 291.5
1999 07 221.5
1999 06 191·6
1999 05 401·5
1999 04 11·4
1999 03 841.4
1999 02 471.5
1999 01 441.6
1998 12 771.5
1998 11 781.6
1998 10 31·5
1998 09 661.5
1998 08 841.6
1998 07 591·6
1998 06 741.6
1998 05 261.6
1998 04 721·5
1998 03 91.5
1998 02 731.4
1998 01 681.5
1997 12 161.5
1997 11 351·6
1997 10 381.6
1997 09 611.5
1997 08 171.5
1997 07 681.6
1997 06 311·5
1997 05 991·5
1997 04 01·5
1997 03 661·5
1997 02 401.6
1997 01 11·6
1996 12 151.5
1996 11 91.5
1996 10 791.6
1996 09 121.6
1996 08 371.6
1996 07 51·5
1996 06 861.5
1996 05 11.5
1996 04 681.6
1996 03 841·5
1996 02 231.5
1996 01 611.4
1995 12 331·5
1995 11 51.6
1995 10 771.5
1995 09 121·5
1995 08 811·6
1995 07 471.5
1995 06 631·5
1995 05 971·5
1995 04 881·5
1995 03 191·6
1995 02 181.5
1995 01 881.5
1994 12 561.6
1994 11 511·6
1993 12 41·4
1993 11 761·4
1993 10 81·4
1993 09 01.4
1993 08 101·4
1993 07 821.5
1993 06 961.4
1993 05 481.5
1993 04 491·4
1993 03 491.5
1993 02 951·4
1993 01 21·4
1992 12 581.5
1992 11 471.4
1992 10 51.4
1992 09 931.5
1992 08 01·5
1992 07 701.6
1992 06 511·5
1992 05 771·5
1992 04 631.5
1992 03 361·3
1992 02 851.4
1992 01 371.5
1991 12 611·4
1991 11 911.4
1991 10 811.4
1991 09 791.5
1991 08 311.5
1991 07 41.5
1991 06 401.5
1991 05 351.5
1991 04 351·5
1991 03 671.5
1991 02 871.5
1991 01 611.5
1990 12 631·4
1990 11 11.5
1990 10 731·5
1990 09 401·5
1990 08 261.4
1990 07 501·4
1990 06 731.5
1990 05 761·4
1990 04 621·5
1990 03 831.4
1990 02 871·4
1990 01 31·5
1989 12 361·4
1989 11 931.4
1989 10 411.4
1989 09 771.5
1989 08 331·5
1989 07 11·5
1989 06 851.4
1989 05 801.4
1989 04 681.4
1989 03 501.4
1989 02 951.4
1989 01 171.4
1988 12 771·4
1988 11 91·4
1988 10 701.3
1988 09 221.3
1988 08 251.4
1988 07 731·4
1988 06 371.4
1988 05 501.3
1988 04 991.3
1988 03 601.4
1988 02 461.4
1988 01 831.4
1987 12 111.4
1987 11 151.4
1987 10 721·4
1987 09 271.4
1987 08 11·4
1987 07 81.5
1987 06 151.5
1987 05 161·4
1987 04 291·4
1987 03 311.5
1987 02 11·4
1987 01 41·4
1986 12 861.5
1986 11 51·4
1986 10 811.4
1986 09 741·4
1986 08 821·4
1986 07 721.5
1986 06 291.4
1986 05 321·5
1986 04 571.4
1986 03 41·4
1986 02 461·4
1986 01 101·5
1985 12 731·4
1985 11 931·4
1985 10 581·4
1985 09 651·5
1985 08 181·5
1985 07 591.4
1985 06 151.5
1985 05 781·4
1985 04 51·3
1985 03 451·4
1985 02 921.4
1985 01 561·4
1984 12 721·4
1984 11 221.4
1984 10 891·5
1984 09 301·4
1984 08 811·5
1984 07 831·5
1984 06 321·5
1984 05 571·5
1984 04 211.4
1984 03 481·3
1984 02 721.4
1984 01 201.5
1983 12 51.4
1983 11 601·5
1983 10 841.4
1983 09 241·5
1983 08 701·4
1983 07 881·5
1983 06 681.5
1983 05 01.5
1983 04 791.5
1983 03 271·4
1983 02 491.4
1983 01 71·5
1982 12 201·5
1982 11 971·5
1982 10 791.5
1982 09 251.5
1982 08 71.5
1982 07 401.5
1982 06 321.5
1982 05 611·5
1982 04 761·4
1982 03 261·5
1982 02 81·5
1982 01 461·5
1981 12 911.4
1981 11 501.5
1981 10 341.4
1981 09 381·4
1981 08 401·5
1981 07 301·5
1981 06 591.5
1981 05 181·4
1981 04 361·4
1981 03 111.5
1981 02 601.5
1981 01 921·4
1980 12 161·4
1980 11 621·4
1980 10 351·4
1980 09 931.5
1980 08 431.4
1980 07 761·5
1980 06 121·5
1980 05 761.5
1980 04 61·4
1980 03 741.4
1980 02 391.5
1980 01 241.4
1979 12 171.4
1979 11 991.4
1979 10 931.4
1979 09 431·4
1979 08 141.4
1979 07 201·5
1979 06 741·4
1979 05 641.4
1979 04 601.5
1979 03 311·4
1979 02 71.4
1979 01 461.4
1978 12 431.4
1978 11 531·3
1978 10 421.4
1978 09 681·4
1978 08 751.5
1978 07 271·4
1978 06 561·4
1978 05 381.4
1978 04 951.3
1978 03 251·4
1978 02 481·4
1978 01 871·5
1977 12 661·5
1977 11 401.4
1977 10 441.4
1977 09 721.5
1977 08 751.5
1977 07 911.5
1977 06 951.4
1977 05 751·5
1977 04 351·5
1977 03 221.5
1977 02 751·5
1977 01 21.4
1976 12 851·4
1976 11 31.4
1976 10 841·4
1976 09 851.5
1976 08 871.5
1976 07 271.5
1976 06 501.5
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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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