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2012 04 921·8
2012 03 681·8
2012 02 791.8
2012 01 81.8
2011 12 641.7
2011 11 571.9
2011 10 981·9
2011 09 311·8
2011 08 771.9
2011 07 181.9
2011 06 931·8
2011 05 271.8
2011 04 821·9
2011 03 351.8
2011 02 761·9
2011 01 411.8
2010 12 541.8
2010 11 131·9
2010 10 871.9
2010 09 411·9
2010 08 931·9
2010 07 851.8
2010 06 871·8
2010 05 231.8
2010 04 261·8
2010 03 71·8
2010 02 641·7
2010 01 51.9
2009 12 11·9
2009 11 601·9
2009 10 321.8
2009 09 321.8
2009 08 951·8
2009 07 521·8
2009 06 281.8
2009 05 721.8
2009 04 91.8
2009 03 141.8
2009 02 151.7
2009 01 201.8
2008 12 671.7
2008 11 21·7
2008 10 811.7
2008 09 941·7
2008 08 191.7
2008 07 991.8
2008 06 391·7
2008 05 391.8
2008 04 421.8
2008 03 101·7
2008 02 271·7
2008 01 251.7
2007 12 361.6
2007 11 681·6
2007 10 71.7
2007 09 441·7
2007 08 251·7
2007 07 291.8
2007 06 691.7
2007 05 171.7
2007 04 611·7
2007 03 751·8
2007 02 231.7
2007 01 881·7
2006 12 191.7
2006 11 121·7
2006 10 91·7
2006 09 251·8
2006 08 991.7
2006 07 731.8
2006 06 901.7
2006 05 231·7
2006 04 271·7
2006 03 131.7
2006 02 521.8
2006 01 11.8
2005 12 521·8
2005 11 141.7
2005 10 101·7
2005 09 21.8
2005 08 511.7
2005 07 841·7
2005 06 01.8
2005 05 981·8
2005 04 241.7
2005 03 531.7
2005 02 861.8
2005 01 801.8
2004 12 961·8
2004 11 781·8
2004 10 561·7
2004 09 691.7
2004 08 171.8
2004 07 421·8
2004 06 231.8
2004 05 81·9
2004 04 641·7
2004 03 501.8
2004 02 241.7
2004 01 671.8
2002 12 351·6
2002 11 341·7
2002 10 231·7
2002 09 411·8
2002 08 581·7
2002 07 511·7
2002 06 61.8
2002 05 471·7
2002 04 811.6
2002 03 821·7
2002 02 881.7
2002 01 301·7
2001 12 811·7
2001 11 351·7
2001 10 61·7
2001 09 601·6
2001 08 581·7
2001 07 401.7
2001 06 231·7
2001 05 301·7
2001 04 371.6
2001 03 551.6
2001 02 271.6
2001 01 601.7
2000 12 691.7
2000 11 601.7
2000 10 311.7
2000 09 931.6
2000 08 291.7
2000 07 641·6
2000 06 721·6
2000 05 991·5
2000 04 171.6
2000 03 971·6
2000 02 141·7
2000 01 731.6
1999 12 591·5
1999 11 151·6
1999 10 441.7
1999 09 321.7
1999 08 51·7
1999 07 21.7
1999 06 751·6
1999 05 221.5
1999 04 311.6
1999 03 621·5
1999 02 461·7
1999 01 121.7
1998 12 371·6
1998 11 291·6
1998 10 191·7
1998 09 941.6
1998 08 491·7
1998 07 581·7
1998 06 821.7
1998 05 901.7
1998 04 161.7
1998 03 311.7
1998 02 471.7
1998 01 421·7
1997 12 141·7
1997 11 551.6
1997 10 531·8
1997 09 211·7
1997 08 441·7
1997 07 621.6
1997 06 631.7
1997 05 201·6
1997 04 311.6
1997 03 71·6
1997 02 651.6
1997 01 571·7
1996 12 261.7
1996 11 731·6
1996 10 711·7
1996 09 791.7
1996 08 31·7
1996 07 671.8
1996 06 191.7
1996 05 531·7
1996 04 631.6
1996 03 201.6
1996 02 721.6
1996 01 731·7
1995 12 311·6
1995 11 881.7
1995 10 191·6
1995 09 601.6
1995 08 591·6
1995 07 541.7
1995 06 711·6
1995 05 561.6
1995 04 211·6
1995 03 231·6
1995 02 681·6
1995 01 321.7
1994 12 181.6
1994 11 291·6
1993 12 711.6
1993 11 811.5
1993 10 741.5
1993 09 261.6
1993 08 691·6
1993 07 221.6
1993 06 411·6
1993 05 971·5
1993 04 741.6
1993 03 01.6
1993 02 941.6
1993 01 491·5
1992 12 251·6
1992 11 831·5
1992 10 341.6
1992 09 131.6
1992 08 841.6
1992 07 671.7
1992 06 851·6
1992 05 451·5
1992 04 401·5
1992 03 691.6
1992 02 981.6
1992 01 281·5
1991 12 41·5
1991 11 341.6
1991 10 481·6
1991 09 691.5
1991 08 151.6
1991 07 321·6
1991 06 361.6
1991 05 971·5
1991 04 371·6
1991 03 561.6
1991 02 881·5
1991 01 721.6
1990 12 561·6
1990 11 261.5
1990 10 531.5
1990 09 731·5
1990 08 861·6
1990 07 851.5
1990 06 71·5
1990 05 71.5
1990 04 641.5
1990 03 31·5
1990 02 501·5
1990 01 71·5
1989 12 541·5
1989 11 741.6
1989 10 91.5
1989 09 291·5
1989 08 431.5
1989 07 181·5
1989 06 321.6
1989 05 551·6
1989 04 451·5
1989 03 771.6
1989 02 961·6
1989 01 911·5
1988 12 961·5
1988 11 221·5
1988 10 11·5
1988 09 681·5
1988 08 611·5
1988 07 461·5
1988 06 721.5
1988 05 441·5
1988 04 261·5
1988 03 691.5
1988 02 601·6
1988 01 01.5
1987 12 61.5
1987 11 351·5
1987 10 401.5
1987 09 431·5
1987 08 371.5
1987 07 131.5
1987 06 131·5
1987 05 41·5
1987 04 821·5
1987 03 971·4
1987 02 31·5
1987 01 401·5
1986 12 301·5
1986 11 61·5
1986 10 621·5
1986 09 331·5
1986 08 941·5
1986 07 841·5
1986 06 651·5
1986 05 901.5
1986 04 101.5
1986 03 11.5
1986 02 111.5
1986 01 411.5
1985 12 431.5
1985 11 511·5
1985 10 271·5
1985 09 441·5
1985 08 801.6
1985 07 521.5
1985 06 631·5
1985 05 801.4
1985 04 341.5
1985 03 501·5
1985 02 941·5
1985 01 561·5
1984 12 421.5
1984 11 121.4
1984 10 211.5
1984 09 31·4
1984 08 691·5
1984 07 331.5
1984 06 691·5
1984 05 791·4
1984 04 11.4
1984 03 331.5
1984 02 881·5
1984 01 641·5
1983 12 511.5
1983 11 561.4
1983 10 541.5
1983 09 661·5
1983 08 581.5
1983 07 701·5
1983 06 671.5
1983 05 161.5
1983 04 841·5
1983 03 701·5
1983 02 531.5
1983 01 701.5
1982 12 171·4
1982 11 751·5
1982 10 621·5
1982 09 111·5
1982 08 701·5
1982 07 281.6
1982 06 691.5
1982 05 451.5
1982 04 811·5
1982 03 01.5
1982 02 751·4
1982 01 41·4
1981 12 131·4
1981 11 851.4
1981 10 51·5
1981 09 431·4
1981 08 541.4
1981 07 01·5
1981 06 101·4
1981 05 461.5
1981 04 161.4
1981 03 921·5
1981 02 641.5
1981 01 191·4
1980 12 381·4
1980 11 281.5
1980 10 691·5
1980 09 921·5
1980 08 821.4
1980 07 31·5
1980 06 491.5
1980 05 241·5
1980 04 371·4
1980 03 361·5
1980 02 561.4
1980 01 941·4
1979 12 151.4
1979 11 721·4
1979 10 641·4
1979 09 111.4
1979 08 531.4
1979 07 781.4
1979 06 741·5
1979 05 61·4
1979 04 161.4
1979 03 501.4
1979 02 121·5
1979 01 351.4
1978 12 911·4
1978 11 71.4
1978 10 271.3
1978 09 811·4
1978 08 901·4
1978 07 921·4
1978 06 951·4
1978 05 491·4
1978 04 521.4
1978 03 761.5
1978 02 161.5
1978 01 711.5
1977 12 391.5
1977 11 511.4
1977 10 171.4
1977 09 41.4
1977 08 401·4
1977 07 381.5
1977 06 461.4
1977 05 301.5
1977 04 671·4
1977 03 791·4
1977 02 801.5
1977 01 551·5
1976 12 591.4
1976 11 461.4
1976 10 201·4
1976 09 111·4
1976 08 771·4
1976 07 301·5
1976 06 891·5
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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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