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2012 04 851.9
2012 03 91.9
2012 02 542.0
2012 01 732·0
2011 12 442·0
2011 11 452.0
2011 10 572·0
2011 09 902·0
2011 08 382.0
2011 07 482.1
2011 06 292.0
2011 05 752.0
2011 04 172.0
2011 03 02·0
2011 02 842.0
2011 01 712.0
2010 12 572.1
2010 11 82.0
2010 10 592.0
2010 09 482·0
2010 08 592.0
2010 07 22·0
2010 06 182·0
2010 05 02·0
2010 04 472.1
2010 03 412.0
2010 02 482.0
2010 01 461·9
2009 12 722.0
2009 11 52.0
2009 10 622·0
2009 09 292.1
2009 08 92.0
2009 07 12.0
2009 06 982·0
2009 05 202.1
2009 04 602.0
2009 03 602.0
2009 02 192.0
2009 01 132·0
2008 12 482.0
2008 11 401.9
2008 10 131·9
2008 09 261.9
2008 08 251·8
2008 07 221·9
2008 06 931.9
2008 05 41·8
2008 04 671.9
2008 03 131·9
2008 02 961.8
2008 01 151·8
2007 12 721.8
2007 11 441.9
2007 10 851.9
2007 09 551.8
2007 08 681.9
2007 07 721.9
2007 06 491·8
2007 05 411·8
2007 04 31·8
2007 03 781·9
2007 02 01·8
2007 01 191·8
2006 12 541.8
2006 11 701·8
2006 10 761·8
2006 09 571·9
2006 08 211·8
2006 07 781·9
2006 06 401·8
2006 05 501.8
2006 04 301·8
2006 03 601·8
2006 02 801.8
2006 01 161.9
2005 12 301·8
2005 11 971·8
2005 10 91·8
2005 09 01.9
2005 08 971·7
2005 07 961.8
2005 06 651·8
2005 05 711.9
2005 04 321.8
2005 03 881·8
2005 02 101·9
2005 01 242·0
2004 12 591.8
2004 11 301.9
2004 10 331.8
2004 09 761.9
2004 08 301·9
2004 07 41·9
2004 06 461.9
2004 05 731.9
2004 04 201.9
2004 03 161·9
2004 02 871·9
2004 01 831.9
2002 12 281·9
2002 11 981·9
2002 10 191.9
2002 09 11·9
2002 08 811·9
2002 07 61·9
2002 06 311·9
2002 05 461.9
2002 04 291·9
2002 03 231.9
2002 02 341·9
2002 01 621.9
2001 12 481.9
2001 11 551.9
2001 10 671.9
2001 09 171.9
2001 08 371.8
2001 07 331.8
2001 06 931.8
2001 05 71.8
2001 04 211.8
2001 03 151.8
2001 02 01.8
2001 01 511·8
2000 12 531·9
2000 11 811·7
2000 10 01.7
2000 09 911·8
2000 08 61.8
2000 07 381.7
2000 06 311.7
2000 05 991·7
2000 04 811·7
2000 03 191·7
2000 02 571·8
2000 01 671.7
1999 12 41·6
1999 11 801.8
1999 10 651·7
1999 09 151.8
1999 08 251.8
1999 07 11.9
1999 06 671·7
1999 05 871.7
1999 04 191.7
1999 03 911.7
1999 02 31·8
1999 01 531·8
1998 12 871·7
1998 11 811·7
1998 10 351.7
1998 09 51·7
1998 08 541·8
1998 07 261·8
1998 06 501.8
1998 05 651·7
1998 04 711.8
1998 03 101.8
1998 02 621.8
1998 01 741·8
1997 12 131.7
1997 11 381·8
1997 10 81·9
1997 09 41.8
1997 08 801·8
1997 07 431.7
1997 06 521.8
1997 05 471.7
1997 04 971·7
1997 03 801·7
1997 02 811.8
1997 01 241.8
1996 12 161.8
1996 11 321·8
1996 10 91·8
1996 09 771.8
1996 08 111.8
1996 07 51.9
1996 06 721·8
1996 05 771·7
1996 04 841·7
1996 03 301·8
1996 02 341.8
1996 01 181·9
1995 12 581.8
1995 11 651·8
1995 10 841.8
1995 09 181·8
1995 08 851.8
1995 07 911.8
1995 06 321·7
1995 05 221·8
1995 04 401.7
1995 03 151.8
1995 02 191·8
1995 01 981·8
1994 12 241·7
1994 11 681·8
1993 12 61.7
1993 11 421·7
1993 10 611.7
1993 09 71·7
1993 08 821.7
1993 07 721·7
1993 06 31·7
1993 05 141·7
1993 04 581.7
1993 03 321·7
1993 02 241·7
1993 01 951.7
1992 12 741·7
1992 11 921.7
1992 10 261.7
1992 09 821·8
1992 08 921.8
1992 07 451.7
1992 06 321·7
1992 05 311.7
1992 04 01.7
1992 03 111·7
1992 02 951.7
1992 01 251·7
1991 12 111·7
1991 11 331.6
1991 10 891.7
1991 09 691·6
1991 08 631·6
1991 07 821.7
1991 06 141.7
1991 05 961.7
1991 04 181·7
1991 03 511·7
1991 02 961.7
1991 01 621.7
1990 12 651.7
1990 11 591·6
1990 10 861.7
1990 09 481.7
1990 08 161.7
1990 07 511·6
1990 06 581.6
1990 05 621·6
1990 04 101.6
1990 03 951.6
1990 02 141.6
1990 01 351.7
1989 12 81·6
1989 11 861·6
1989 10 781.6
1989 09 241·6
1989 08 01·6
1989 07 431.6
1989 06 01·6
1989 05 101·6
1989 04 981·6
1989 03 101·6
1989 02 581.6
1989 01 01·6
1988 12 401·6
1988 11 561·6
1988 10 501·5
1988 09 251·6
1988 08 881.6
1988 07 751.6
1988 06 21·6
1988 05 431.6
1988 04 311·5
1988 03 861.6
1988 02 641.6
1988 01 341.6
1987 12 821·6
1987 11 351.6
1987 10 121.6
1987 09 61·6
1987 08 781·6
1987 07 881.6
1987 06 471.6
1987 05 901.5
1987 04 831·6
1987 03 421.6
1987 02 931·6
1987 01 431·6
1986 12 831·6
1986 11 151.5
1986 10 21·6
1986 09 471.6
1986 08 931·5
1986 07 501·6
1986 06 471·5
1986 05 71.6
1986 04 501.6
1986 03 191.7
1986 02 311·6
1986 01 561.6
1985 12 171·6
1985 11 131·6
1985 10 781.6
1985 09 511.6
1985 08 811.7
1985 07 531.6
1985 06 381·6
1985 05 721·6
1985 04 561·6
1985 03 831·6
1985 02 881.6
1985 01 271.6
1984 12 801·6
1984 11 711.6
1984 10 261.6
1984 09 481·5
1984 08 151.6
1984 07 121·6
1984 06 801·6
1984 05 901.5
1984 04 501·5
1984 03 261·6
1984 02 991.6
1984 01 361.6
1983 12 961·6
1983 11 561·5
1983 10 581.6
1983 09 921·6
1983 08 931.6
1983 07 711.6
1983 06 581.6
1983 05 901·6
1983 04 31·6
1983 03 651.6
1983 02 251·6
1983 01 861.6
1982 12 141.6
1982 11 591·6
1982 10 81.6
1982 09 621·5
1982 08 391.6
1982 07 951·6
1982 06 831·6
1982 05 251·6
1982 04 151·6
1982 03 431.6
1982 02 511.6
1982 01 71.6
1981 12 61·5
1981 11 971·6
1981 10 371·5
1981 09 641.5
1981 08 991.6
1981 07 771·6
1981 06 911·5
1981 05 771·5
1981 04 81·5
1981 03 251·6
1981 02 891.6
1981 01 531.5
1980 12 701·5
1980 11 131·5
1980 10 311.5
1980 09 251.5
1980 08 481.5
1980 07 321.5
1980 06 421.6
1980 05 481.5
1980 04 301·5
1980 03 41·5
1980 02 731.5
1980 01 41.5
1979 12 291.5
1979 11 721·5
1979 10 01·5
1979 09 01.5
1979 08 831.5
1979 07 41.5
1979 06 221·5
1979 05 681.4
1979 04 551.5
1979 03 961·5
1979 02 651·5
1979 01 641·5
1978 12 321·5
1978 11 671.5
1978 10 791·5
1978 09 701·5
1978 08 271.5
1978 07 591.5
1978 06 411·5
1978 05 921·5
1978 04 801.5
1978 03 441·5
1978 02 491·5
1978 01 621·6
1977 12 511.5
1977 11 141.5
1977 10 301.5
1977 09 371.5
1977 08 291.5
1977 07 891.5
1977 06 341·5
1977 05 981.5
1977 04 281·5
1977 03 131.5
1977 02 371.6
1977 01 521·5
1976 12 841.6
1976 11 551.5
1976 10 381.5
1976 09 311.5
1976 08 621·5
1976 07 101·6
1976 06 641·6
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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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