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2012 04 371·7
2012 03 821.6
2012 02 181.7
2012 01 921.7
2011 12 741·6
2011 11 381·8
2011 10 581.8
2011 09 381.7
2011 08 651.7
2011 07 801·8
2011 06 861.7
2011 05 711·7
2011 04 601.7
2011 03 901·7
2011 02 161.7
2011 01 351.7
2010 12 341.8
2010 11 741.8
2010 10 851.6
2010 09 971·8
2010 08 881·8
2010 07 641.7
2010 06 571·6
2010 05 541.6
2010 04 481·7
2010 03 161.8
2010 02 181·9
2010 01 231·9
2009 12 641·7
2009 11 131·7
2009 10 821.8
2009 09 491·7
2009 08 111.8
2009 07 611.7
2009 06 861.8
2009 05 01.7
2009 04 891·6
2009 03 901·8
2009 02 951·5
2009 01 731.9
2008 12 251.8
2008 11 591.6
2008 10 951.7
2008 09 841.6
2008 08 671.6
2008 07 491·6
2008 06 991.7
2008 05 791·6
2008 04 931.4
2008 03 661·5
2008 02 461·5
2008 01 261·6
2007 12 11.5
2007 11 421·6
2007 10 981.4
2007 09 201·6
2007 08 181·4
2007 07 341.5
2007 06 431.6
2007 05 801.4
2007 04 941.5
2007 03 231·4
2007 02 941.6
2007 01 501.7
2006 12 51·6
2006 11 161·6
2006 10 881·5
2006 09 991.6
2006 08 501.6
2006 07 451.7
2006 06 901.6
2006 05 211.6
2006 04 551·6
2006 03 661.4
2006 02 861.6
2006 01 361·6
2005 12 711.6
2005 11 601.4
2005 10 901.5
2005 09 871.6
2005 08 721·5
2005 07 351.6
2005 06 391·5
2005 05 441.5
2005 04 601·7
2005 03 231.5
2005 02 971·7
2005 01 11.7
2004 12 591·5
2004 11 791·5
2004 10 511·6
2004 09 771·6
2004 08 211·5
2004 07 851·7
2004 06 141·7
2004 05 161·6
2004 04 201·5
2004 03 491.6
2004 02 241·6
2004 01 871.6
2002 12 561.5
2002 11 11·5
2002 10 431.6
2002 09 841·6
2002 08 561.6
2002 07 991·6
2002 06 611·6
2002 05 271·5
2002 04 701·6
2002 03 231·6
2002 02 891.6
2002 01 601.6
2001 12 721·6
2001 11 821·7
2001 10 661·6
2001 09 521.6
2001 08 641.4
2001 07 51.6
2001 06 541·6
2001 05 961.5
2001 04 711·5
2001 03 501.4
2001 02 421·6
2001 01 131.7
2000 12 431.5
2000 11 991.4
2000 10 421·7
2000 09 461.5
2000 08 551·7
2000 07 581.5
2000 06 921·5
2000 05 641.3
2000 04 81.6
2000 03 591·5
2000 02 551.6
2000 01 621·5
1999 12 281.5
1999 11 591.6
1999 10 191·6
1999 09 581·5
1999 08 641·6
1999 07 381.7
1999 06 971.5
1999 05 981.6
1999 04 931.6
1999 03 51·6
1999 02 261·5
1999 01 491.5
1998 12 141.4
1998 11 891·5
1998 10 701·5
1998 09 61.5
1998 08 531·7
1998 07 491·7
1998 06 171·6
1998 05 891·5
1998 04 601·6
1998 03 651.5
1998 02 781.4
1998 01 401.6
1997 12 111·3
1997 11 451·6
1997 10 931·8
1997 09 311·6
1997 08 61·5
1997 07 201·5
1997 06 251.6
1997 05 541·6
1997 04 711.6
1997 03 461.6
1997 02 601.5
1997 01 291.7
1996 12 551.4
1996 11 51·6
1996 10 121.5
1996 09 991.5
1996 08 341·5
1996 07 51.6
1996 06 191.5
1996 05 351·5
1996 04 101.5
1996 03 751.4
1996 02 441·5
1996 01 301.5
1995 12 61·6
1995 11 741.5
1995 10 741·5
1995 09 41.7
1995 08 731.5
1995 07 831·5
1995 06 231.5
1995 05 991.6
1995 04 881·5
1995 03 91·5
1995 02 281.6
1995 01 871.5
1994 12 501·1
1994 11 821.0
1993 12 531.4
1993 11 601.5
1993 10 841.4
1993 09 601.5
1993 08 841·5
1993 07 381·5
1993 06 411·4
1993 05 241·4
1993 04 361.3
1993 03 661·4
1993 02 971·5
1993 01 821.4
1992 12 461.4
1992 11 111.4
1992 10 511·6
1992 09 641.5
1992 08 761·4
1992 07 691.5
1992 06 291.5
1992 05 271.4
1992 04 151·4
1992 03 581·3
1992 02 821·4
1992 01 531·4
1991 12 761.4
1991 11 231·3
1991 10 851·4
1991 09 491·4
1991 08 961·4
1991 07 331.5
1991 06 391·5
1991 05 461.5
1991 04 391.4
1991 03 811·3
1991 02 681.3
1991 01 11.3
1990 12 921.5
1990 11 881.4
1990 10 231·5
1990 09 951·6
1990 08 681.5
1990 07 961·4
1990 06 791.4
1990 05 361.3
1990 04 51.5
1990 03 771.4
1990 02 381.5
1990 01 541·5
1989 12 661.5
1989 11 221·4
1989 10 241·5
1989 09 61·5
1989 08 391·5
1989 07 521·4
1989 06 871·4
1989 05 751·4
1989 04 371·4
1989 03 111.4
1989 02 41·4
1989 01 661·3
1988 12 971·3
1988 11 681.3
1988 10 741.3
1988 09 121·4
1988 08 831.4
1988 07 171·4
1988 06 221·4
1988 05 691.3
1988 04 831.3
1988 03 761.3
1988 02 01.4
1988 01 181.4
1987 12 81.4
1987 11 921·4
1987 10 831.4
1987 09 661.3
1987 08 981.4
1987 07 311·4
1987 06 711·4
1987 05 461.3
1987 04 151·2
1987 03 901·3
1987 02 891.4
1987 01 131·4
1986 12 471·4
1986 11 861.3
1986 10 881·3
1986 09 491·5
1986 08 61·4
1986 07 631.5
1986 06 431·4
1986 05 611·5
1986 04 321·5
1986 03 921.4
1986 02 541.4
1986 01 801.5
1985 12 861·3
1985 11 661·4
1985 10 481·4
1985 09 641·4
1985 08 561.4
1985 07 51·4
1985 06 741·5
1985 05 931.4
1985 04 561·4
1985 03 511·4
1985 02 71·4
1985 01 741.5
1984 12 241·4
1984 11 761.5
1984 10 491.4
1984 09 401.4
1984 08 211.5
1984 07 721·5
1984 06 241·5
1984 05 461·4
1984 04 371.3
1984 03 591·4
1984 02 841.5
1984 01 751·4
1983 12 841·4
1983 11 801.4
1983 10 21·4
1983 09 321.4
1983 08 991·4
1983 07 61.5
1983 06 801·4
1983 05 501.4
1983 04 471·3
1983 03 311.3
1983 02 441.4
1983 01 851·5
1982 12 141·4
1982 11 721·4
1982 10 431·5
1982 09 191·4
1982 08 131·4
1982 07 751.5
1982 06 521.4
1982 05 591·4
1982 04 831.4
1982 03 91.4
1982 02 731.4
1982 01 361·4
1981 12 861.3
1981 11 681.4
1981 10 311·4
1981 09 61·3
1981 08 111·4
1981 07 711.4
1981 06 751.4
1981 05 521.4
1981 04 691·4
1981 03 621.4
1981 02 831·4
1981 01 801.4
1980 12 01.3
1980 11 101·4
1980 10 521·4
1980 09 221.4
1980 08 661·4
1980 07 91.4
1980 06 111·4
1980 05 341.4
1980 04 541.4
1980 03 791.4
1980 02 71.3
1980 01 981·3
1979 12 781.4
1979 11 641·3
1979 10 181·4
1979 09 211·5
1979 08 751.4
1979 07 331·4
1979 06 431.4
1979 05 341.3
1979 04 91·4
1979 03 791·3
1979 02 81.3
1979 01 941.4
1978 12 681·4
1978 11 231.3
1978 10 631·3
1978 09 821·3
1978 08 631·3
1978 07 81·4
1978 06 841.3
1978 05 61·3
1978 04 341.4
1978 03 31·4
1978 02 701.4
1978 01 961.3
1977 12 431·3
1977 11 21.3
1977 10 481.4
1977 09 101·4
1977 08 771.4
1977 07 261.5
1977 06 681·4
1977 05 291.4
1977 04 511.3
1977 03 171·2
1977 02 41.4
1977 01 601·4
1976 12 11.4
1976 11 451.4
1976 10 591.4
1976 09 341.4
1976 08 911·4
1976 07 51·5
1976 06 561.3
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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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