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2012 04 171·8
2012 03 911.9
2012 02 541.8
2012 01 691·7
2011 12 271.8
2011 11 201·8
2011 10 391·7
2011 09 101.7
2011 08 361.7
2011 07 781.7
2011 06 571·7
2011 05 811·7
2011 04 921.7
2011 03 471·6
2011 02 201·8
2011 01 261.6
2010 12 711.9
2010 11 351·9
2010 10 662.0
2010 09 141.8
2010 08 741·9
2010 07 721·9
2010 06 582.0
2010 05 391·7
2010 04 261.8
2010 03 151·7
2010 02 841·8
2010 01 211·7
2009 12 781.8
2009 11 461.8
2009 10 561·9
2009 09 31·9
2009 08 51.8
2009 07 721.8
2009 06 121.9
2009 05 551.8
2009 04 71.6
2009 03 241.5
2009 02 161·9
2009 01 721·6
2008 12 101·6
2008 11 591·8
2008 10 551.9
2008 09 711·6
2008 08 641.6
2008 07 591.8
2008 06 431·9
2008 05 971.4
2008 04 441·4
2008 03 291·4
2008 02 161.4
2008 01 201·7
2007 12 521·7
2007 11 31·8
2007 10 391·8
2007 09 331·6
2007 08 111·6
2007 07 351·7
2007 06 981·8
2007 05 551.5
2007 04 741.4
2007 03 91·6
2007 02 72.1
2007 01 321·4
2006 12 141.7
2006 11 301·4
2006 10 41·7
2006 09 311.6
2006 08 331.6
2006 07 311·7
2006 06 511·2
2006 05 471.5
2006 04 551·6
2006 03 681·5
2006 02 371.9
2006 01 01.5
2005 12 322.0
2005 11 221.5
2005 10 741·4
2005 09 331·5
2005 08 391·4
2005 07 11·6
2005 06 01·4
2005 05 151·6
2005 04 751.6
2005 03 351·7
2005 02 781.5
2005 01 411.5
2004 12 671.5
2004 11 821.6
2004 10 961·5
2004 09 291.6
2004 08 651·5
2004 07 231.8
2004 06 671.8
2004 05 251·6
2004 04 441·6
2004 03 651.4
2004 02 291.5
2004 01 961·4
2002 12 41·6
2002 11 401·7
2002 10 441.7
2002 09 381·8
2002 08 711.9
2002 07 31.7
2002 06 11.8
2002 05 691.5
2002 04 961.4
2002 03 381.5
2002 02 131.9
2002 01 331.4
2001 12 541.4
2001 11 491.4
2001 10 161.8
2001 09 01·3
2001 08 441.7
2001 07 701.7
2001 06 751·2
2001 05 641·5
2001 04 931·3
2001 03 561·6
2001 02 771.7
2001 01 431·7
2000 12 511.5
2000 11 901.5
2000 10 351.3
2000 09 821.6
2000 08 941·2
2000 07 771.3
2000 06 871.4
2000 05 511.2
2000 04 211.5
2000 03 501.3
2000 02 961·5
2000 01 431·4
1999 12 581·6
1999 11 661·2
1999 10 491·4
1999 09 771·2
1999 08 561.9
1999 07 51.4
1999 06 601.7
1999 05 981.5
1999 04 891·4
1999 03 751.5
1999 02 661·4
1999 01 741·5
1998 12 591·7
1998 11 61.4
1998 10 311·6
1998 09 11·6
1998 08 901.6
1998 07 571.6
1998 06 421·4
1998 05 961·1
1998 04 341.2
1998 03 81.3
1998 02 121.5
1998 01 41.9
1997 12 651·5
1997 11 661·8
1997 10 791·5
1997 09 951.4
1997 08 841·3
1997 07 631.2
1997 06 51.5
1997 05 621.3
1997 04 151.6
1997 03 551·3
1997 02 801.3
1997 01 251·7
1996 12 111·4
1996 11 241.5
1996 10 151.4
1996 09 271.6
1996 08 461·6
1996 07 772·1
1996 06 491·7
1996 05 381·5
1996 04 191·7
1996 03 451.6
1996 02 451·7
1996 01 521·4
1995 12 581.4
1995 11 851.6
1995 10 891·5
1995 09 881.6
1995 08 121.5
1995 07 781.5
1995 06 961.6
1995 05 911.8
1995 04 561.4
1995 03 321·2
1995 02 31·6
1995 01 291·3
1994 12 921·2
1994 11 781.5
1993 12 731.5
1993 11 961·3
1993 10 441·2
1993 09 711·6
1993 08 941.5
1993 07 121.5
1993 06 621.4
1993 05 961·5
1993 04 791·5
1993 03 211·6
1993 02 231.6
1993 01 561·7
1992 12 651·5
1992 11 911·2
1992 10 261·4
1992 09 861·5
1992 08 161·6
1992 07 181.5
1992 06 971.7
1992 05 401·7
1992 04 201.6
1992 03 201.4
1992 02 861.7
1992 01 11.6
1991 12 891.3
1991 11 421.5
1991 10 691.7
1991 09 751.5
1991 08 611·4
1991 07 521·4
1991 06 461·6
1991 05 941·6
1991 04 991·6
1991 03 441·6
1991 02 421·4
1991 01 151·7
1990 12 921.5
1990 11 391.4
1990 10 91.7
1990 09 191.8
1990 08 511·5
1990 07 791.4
1990 06 201.6
1990 05 131·4
1990 04 151.5
1990 03 341·7
1990 02 781.7
1990 01 281·6
1989 12 471.3
1989 11 991.4
1989 10 61.8
1989 09 221·3
1989 08 341·4
1989 07 921.5
1989 06 551.3
1989 05 751·4
1989 04 901.5
1989 03 571·6
1989 02 21·5
1989 01 951·7
1988 12 521·5
1988 11 641.1
1988 10 461·3
1988 09 121.2
1988 08 831·5
1988 07 71·6
1988 06 121·5
1988 05 851·4
1988 04 721·6
1988 03 51·4
1988 02 511·5
1988 01 941·6
1987 12 311.5
1987 11 11·8
1987 10 391·2
1987 09 461·2
1987 08 971·2
1987 07 661·1
1987 06 751·6
1987 05 721·3
1987 04 351.4
1987 03 941.3
1987 02 861.3
1987 01 301.5
1986 12 311·3
1986 11 21.7
1986 10 211·5
1986 09 11.3
1986 08 991.7
1986 07 371.4
1986 06 561.2
1986 05 911·5
1986 04 761.5
1986 03 661.8
1986 02 911·3
1986 01 331·6
1985 12 261.4
1985 11 841.5
1985 10 521.5
1985 09 821.3
1985 08 361.1
1985 07 101.6
1985 06 891·6
1985 05 211·4
1985 04 191.4
1985 03 881·3
1985 02 781.5
1985 01 561·4
1984 12 131.6
1984 11 881.4
1984 10 181.3
1984 09 191.4
1984 08 811·5
1984 07 31·7
1984 06 361·7
1984 05 661.6
1984 04 111·6
1984 03 531·5
1984 02 821.3
1984 01 791·3
1983 12 161.6
1983 11 811·3
1983 10 301·5
1983 09 651.6
1983 08 341·6
1983 07 571.5
1983 06 821.5
1983 05 551.3
1983 04 271.3
1983 03 761·5
1983 02 631.3
1983 01 61.5
1982 12 831.3
1982 11 551·5
1982 10 231·5
1982 09 01·3
1982 08 151·6
1982 07 401·6
1982 06 381·3
1982 05 431.4
1982 04 621.3
1982 03 991.3
1982 02 71·3
1982 01 671.4
1981 12 861·4
1981 11 271.5
1981 10 571.2
1981 09 291·2
1981 08 751.2
1981 07 421.2
1981 06 381.4
1981 05 91·3
1981 04 421.1
1981 03 901·3
1981 02 251.3
1981 01 161.2
1980 12 241·3
1980 11 381.2
1980 10 191·4
1980 09 791·3
1980 08 851·3
1980 07 821·4
1980 06 451·3
1980 05 571·2
1980 04 131·2
1980 03 401.4
1980 02 531.4
1980 01 311.4
1979 12 201.5
1979 11 561.4
1979 10 181.4
1979 09 71.5
1979 08 451·5
1979 07 01.3
1979 06 421·5
1979 05 171·5
1979 04 491.4
1979 03 651.3
1979 02 491.5
1979 01 181·7
1978 12 221·4
1978 11 721·4
1978 10 911·2
1978 09 911·3
1978 08 761.3
1978 07 631.5
1978 06 411.5
1978 05 431·3
1978 04 481·5
1978 03 81.4
1978 02 21·4
1978 01 61·3
1977 12 21·5
1977 11 21.4
1977 10 971·4
1977 09 361.3
1977 08 261.5
1977 07 631·3
1977 06 781.4
1977 05 141.4
1977 04 331·4
1977 03 361·4
1977 02 191·4
1977 01 481.3
1976 12 601.4
1976 11 901·5
1976 10 221·3
1976 09 701.3
1976 08 701.4
1976 07 181.4
1976 06 121.3
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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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