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2012 04 482.0
2012 03 832.0
2012 02 812·0
2012 01 82.0
2011 12 522·0
2011 11 52.0
2011 10 612·0
2011 09 422·0
2011 08 542·0
2011 07 572.0
2011 06 721.9
2011 05 72·0
2011 04 42.0
2011 03 202·1
2011 02 292.0
2011 01 452.1
2010 12 772·0
2010 11 12.1
2010 10 692.1
2010 09 272.0
2010 08 742.0
2010 07 322·0
2010 06 542·0
2010 05 462·0
2010 04 202.1
2010 03 692·1
2010 02 742.1
2010 01 222·1
2009 12 652.1
2009 11 942·0
2009 10 392.1
2009 09 982.1
2009 08 862.1
2009 07 142·0
2009 06 902·1
2009 05 442.1
2009 04 822.1
2009 03 602.0
2009 02 882·1
2009 01 542.0
2008 12 782.0
2008 11 892.0
2008 10 212.0
2008 09 471.9
2008 08 261·9
2008 07 822·0
2008 06 21.9
2008 05 672.0
2008 04 01·9
2008 03 461.9
2008 02 691·9
2008 01 831·9
2007 12 11.9
2007 11 131·9
2007 10 851.9
2007 09 901.9
2007 08 551.8
2007 07 391·8
2007 06 381·8
2007 05 61·8
2007 04 111·8
2007 03 71·9
2007 02 411·8
2007 01 771·9
2006 12 451·8
2006 11 221.8
2006 10 321.8
2006 09 701·8
2006 08 571·8
2006 07 171·8
2006 06 731·8
2006 05 801.9
2006 04 741.9
2006 03 471.9
2006 02 521·9
2006 01 261.8
2005 12 441.8
2005 11 951·8
2005 10 831·9
2005 09 531.8
2005 08 441.8
2005 07 671.9
2005 06 21·8
2005 05 291.9
2005 04 751.9
2005 03 961·9
2005 02 741·8
2005 01 481.9
2004 12 601.9
2004 11 361·9
2004 10 861.9
2004 09 311·9
2004 08 522.0
2004 07 711·9
2004 06 512.0
2004 05 202·0
2004 04 242.0
2004 03 71.9
2004 02 71·9
2004 01 852·0
2002 12 792·0
2002 11 751.9
2002 10 161·9
2002 09 201·9
2002 08 402.0
2002 07 331·9
2002 06 671.9
2002 05 451·9
2002 04 582·0
2002 03 611.9
2002 02 722.0
2002 01 31.9
2001 12 91·9
2001 11 662.1
2001 10 692·0
2001 09 641·9
2001 08 941.9
2001 07 801·9
2001 06 221.8
2001 05 211.8
2001 04 371.8
2001 03 601·8
2001 02 171.8
2001 01 941·8
2000 12 881.8
2000 11 881.8
2000 10 691·8
2000 09 271·8
2000 08 251·7
2000 07 691.7
2000 06 151·7
2000 05 901·7
2000 04 451·7
2000 03 361.8
2000 02 171·7
2000 01 751.7
1999 12 761·7
1999 11 451·8
1999 10 641·8
1999 09 31·8
1999 08 681.9
1999 07 781·7
1999 06 691·7
1999 05 181·8
1999 04 951.8
1999 03 411·8
1999 02 691·9
1999 01 881.8
1998 12 591·8
1998 11 671·8
1998 10 271·8
1998 09 81·7
1998 08 841.8
1998 07 111·9
1998 06 321·9
1998 05 971.8
1998 04 211·8
1998 03 561·7
1998 02 961.7
1998 01 991·8
1997 12 461.8
1997 11 81.8
1997 10 561·9
1997 09 841.8
1997 08 581·8
1997 07 981.9
1997 06 771·8
1997 05 441·9
1997 04 841.8
1997 03 841.9
1997 02 451.9
1997 01 11.8
1996 12 731.8
1996 11 471·9
1996 10 741·9
1996 09 971.9
1996 08 11·9
1996 07 941·8
1996 06 21.9
1996 05 21.8
1996 04 691.9
1996 03 551·8
1996 02 911·9
1996 01 101.8
1995 12 11·8
1995 11 891·8
1995 10 291.8
1995 09 401·9
1995 08 491·9
1995 07 761.8
1995 06 301.8
1995 05 361.8
1995 04 871.8
1995 03 241.8
1995 02 311·8
1995 01 671.8
1994 12 161.8
1994 11 631·9
1994 01 951.9
1993 12 281·8
1993 11 621.7
1993 10 511·8
1993 09 91.7
1993 08 381.8
1993 07 741.8
1993 06 681.8
1993 05 881.8
1993 04 411·8
1993 03 281·8
1993 02 231.9
1993 01 681·8
1992 12 51.9
1992 11 251·8
1992 10 461·8
1992 09 131.8
1992 08 261.8
1992 07 901.9
1992 06 941·8
1992 05 101·8
1992 04 211.8
1992 03 731·8
1992 02 491·8
1992 01 731·8
1991 12 371·8
1991 11 501·8
1991 10 171.8
1991 09 391.8
1991 08 401·8
1991 07 201·8
1991 06 291·8
1991 05 711.8
1991 04 271.8
1991 03 111.8
1991 02 441.8
1991 01 571.8
1990 12 151·7
1990 11 711·7
1990 10 421.8
1990 09 101.7
1990 08 491·7
1990 07 761.7
1990 06 291·7
1990 05 671·7
1990 04 981·7
1990 03 271.7
1990 02 381.7
1990 01 931.7
1989 12 561·7
1989 11 491·7
1989 10 261.7
1989 09 741·7
1989 08 431.7
1989 07 921.7
1989 06 731·6
1989 05 241.6
1989 04 21·7
1989 03 331·7
1989 02 861.7
1989 01 801·7
1988 12 31·6
1988 11 701.6
1988 10 981.6
1988 09 51·6
1988 08 391·7
1988 07 301·6
1988 06 641·6
1988 05 871.6
1988 04 311·6
1988 03 631·6
1988 02 671·7
1988 01 401·7
1987 12 211.6
1987 11 441.7
1987 10 131.7
1987 09 01·6
1987 08 801.7
1987 07 751.7
1987 06 331·7
1987 05 311·7
1987 04 11.6
1987 03 791.7
1987 02 841·7
1987 01 211.6
1986 12 41·7
1986 11 81.7
1986 10 491·7
1986 09 831.7
1986 08 321·7
1986 07 361·7
1986 06 331.7
1986 05 541·7
1986 04 551.7
1986 03 661·7
1986 02 681·7
1986 01 971·7
1985 12 661·7
1985 11 201.6
1985 10 111·6
1985 09 11.7
1985 08 861·7
1985 07 511.7
1985 06 441.7
1985 05 781·7
1985 04 581·6
1985 03 341.7
1985 02 731·7
1985 01 661·7
1984 12 521·7
1984 11 681.7
1984 10 291·7
1984 09 281·6
1984 08 601.7
1984 07 791.7
1984 06 701.7
1984 05 521·7
1984 04 41.7
1984 03 191.6
1984 02 771·7
1984 01 501·7
1983 12 261.7
1983 11 611·7
1983 10 571.7
1983 09 611.7
1983 08 961·7
1983 07 71·7
1983 06 411·7
1983 05 481.7
1983 04 81.7
1983 03 811·7
1983 02 861.7
1983 01 981·7
1982 12 811·7
1982 11 351·7
1982 10 731·7
1982 09 241.7
1982 08 601.7
1982 07 431·7
1982 06 101·7
1982 05 651.7
1982 04 131.7
1982 03 71·7
1982 02 281.7
1982 01 831.7
1981 12 341.6
1981 11 511.6
1981 10 831·6
1981 09 651·6
1981 08 431·6
1981 07 251·7
1981 06 571.6
1981 05 261.6
1981 04 851·6
1981 03 61·6
1981 02 571·7
1981 01 21.6
1980 12 271.6
1980 11 941·6
1980 10 151·6
1980 09 571.7
1980 08 641·7
1980 07 131.7
1980 06 871.6
1980 05 781·6
1980 04 161·6
1980 03 151·7
1980 02 541.6
1980 01 791.6
1979 12 261.6
1979 11 741·6
1979 10 241.6
1979 09 971.6
1979 08 631.6
1979 07 921·6
1979 06 281·5
1979 05 961.5
1979 04 231·6
1979 03 931·6
1979 02 221.6
1979 01 621·6
1978 12 231.6
1978 11 281·5
1978 10 891·6
1978 09 91·6
1978 08 81.6
1978 07 721.5
1978 06 351.5
1978 05 761·6
1978 04 471·6
1978 03 261·6
1978 02 911·6
1978 01 241·7
1977 12 351.6
1977 11 151.6
1977 10 151.6
1977 09 421·6
1977 08 901·6
1977 07 901·6
1977 06 871.6
1977 05 421.6
1977 04 561.7
1977 03 251.6
1977 02 151·7
1977 01 631.6
1976 12 31·7
1976 11 221·7
1976 10 301·6
1976 09 671·7
1976 08 251.7
1976 07 51.7
1976 06 891.7
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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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