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2012 04 441.8
2012 03 821·9
2012 02 381·9
2012 01 881·8
2011 12 341.9
2011 11 811.9
2011 10 351.9
2011 09 301.9
2011 08 851·8
2011 07 722.0
2011 06 262.0
2011 05 651·8
2011 04 461.8
2011 03 371·8
2011 02 251.9
2011 01 371·9
2010 12 921.9
2010 11 832.0
2010 10 702.0
2010 09 142·0
2010 08 251·9
2010 07 402.0
2010 06 231·8
2010 05 911·8
2010 04 701·9
2010 03 671.9
2010 02 721·9
2010 01 872·0
2009 12 771.8
2009 11 441.9
2009 10 301·9
2009 09 462.0
2009 08 212.0
2009 07 772·0
2009 06 352·0
2009 05 381·9
2009 04 32·1
2009 03 01·9
2009 02 501.9
2009 01 561·9
2008 12 482·0
2008 11 682·0
2008 10 631·9
2008 09 191.9
2008 08 71·8
2008 07 631.8
2008 06 871·8
2008 05 721·8
2008 04 551.8
2008 03 911.8
2008 02 591·8
2008 01 841·8
2007 12 921.8
2007 11 851.8
2007 10 431·9
2007 09 491.9
2007 08 441.8
2007 07 12.0
2007 06 261.9
2007 05 861.9
2007 04 611.8
2007 03 201·7
2007 02 211.8
2007 01 391·8
2006 12 191.8
2006 11 491·7
2006 10 661·8
2006 09 781·8
2006 08 181.8
2006 07 211.8
2006 06 241·8
2006 05 961·7
2006 04 831·8
2006 03 901.7
2006 02 841.8
2006 01 131·8
2005 12 641·8
2005 11 401·8
2005 10 571·8
2005 09 721·7
2005 08 381.7
2005 07 771.8
2005 06 821.8
2005 05 441.8
2005 04 51.8
2005 03 321.8
2005 02 211.9
2005 01 211.9
2004 12 891.8
2004 11 621·8
2004 10 631.9
2004 09 241·9
2004 08 411.9
2004 07 491.9
2004 06 201.9
2004 05 961·9
2004 04 381.9
2004 03 991.8
2004 02 301.8
2004 01 71·8
2002 12 781·8
2002 11 431.7
2002 10 571.8
2002 09 501·9
2002 08 881·9
2002 07 401.9
2002 06 871.9
2002 05 451.8
2002 04 171.8
2002 03 701·8
2002 02 352·0
2002 01 371·7
2001 12 421.8
2001 11 391·7
2001 10 372·0
2001 09 931·8
2001 08 631.8
2001 07 811·8
2001 06 571·8
2001 05 81.8
2001 04 41·8
2001 03 501.7
2001 02 831·8
2001 01 21·9
2000 12 171.8
2000 11 291·7
2000 10 271·9
2000 09 181·8
2000 08 771.8
2000 07 251.7
2000 06 271·7
2000 05 261·6
2000 04 841.7
2000 03 681·7
2000 02 471·8
2000 01 191.8
1999 12 631.7
1999 11 171·7
1999 10 741.9
1999 09 181.8
1999 08 661.8
1999 07 511·8
1999 06 211·7
1999 05 651.8
1999 04 671.8
1999 03 791·7
1999 02 261·7
1999 01 311.8
1998 12 671.6
1998 11 311·8
1998 10 521.7
1998 09 91·8
1998 08 902.0
1998 07 651·8
1998 06 861.8
1998 05 191.7
1998 04 891.9
1998 03 611·8
1998 02 421·8
1998 01 41·8
1997 12 371·7
1997 11 281·8
1997 10 581.7
1997 09 341.7
1997 08 361.7
1997 07 951·8
1997 06 961·7
1997 05 31.7
1997 04 101.6
1997 03 201·6
1997 02 441·7
1997 01 301·8
1996 12 101.6
1996 11 851·8
1996 10 161·8
1996 09 591·9
1996 08 121.8
1996 07 951.9
1996 06 481·8
1996 05 591.8
1996 04 161·7
1996 03 841·7
1996 02 51.8
1996 01 251.7
1995 12 471·6
1995 11 71·7
1995 10 731·7
1995 09 751.7
1995 08 561.7
1995 07 461·8
1995 06 661.7
1995 05 541.8
1995 04 181.7
1995 03 71·8
1995 02 221.9
1995 01 311.7
1994 12 331.7
1994 11 231·7
1993 12 31·7
1993 11 11.7
1993 10 271·6
1993 09 501·7
1993 08 971.6
1993 07 811·7
1993 06 501·7
1993 05 701.6
1993 04 181·5
1993 03 161·7
1993 02 781.6
1993 01 891.6
1992 12 31·6
1992 11 761·6
1992 10 111·7
1992 09 381.7
1992 08 161.7
1992 07 551.8
1992 06 751.8
1992 05 761.5
1992 04 431·6
1992 03 711·7
1992 02 191.7
1992 01 821·7
1991 12 981.6
1991 11 691.6
1991 10 191·6
1991 09 641·7
1991 08 181.7
1991 07 191·6
1991 06 761·7
1991 05 541.6
1991 04 681·7
1991 03 131·6
1991 02 151.7
1991 01 81·6
1990 12 341.6
1990 11 711.6
1990 10 861.7
1990 09 71·7
1990 08 291·6
1990 07 381·5
1990 06 651·7
1990 05 591.5
1990 04 921·6
1990 03 831.7
1990 02 521.6
1990 01 951.6
1989 12 851.6
1989 11 991.7
1989 10 731.6
1989 09 721.6
1989 08 961.6
1989 07 71·6
1989 06 771.6
1989 05 701.6
1989 04 381·6
1989 03 491.6
1989 02 411.6
1989 01 981·5
1988 12 491·6
1988 11 951·6
1988 10 651.6
1988 09 861.7
1988 08 911·6
1988 07 401.6
1988 06 741·5
1988 05 921.5
1988 04 531·5
1988 03 21·5
1988 02 181·6
1988 01 961.6
1987 12 481·5
1987 11 251·5
1987 10 731.6
1987 09 61·4
1987 08 141.6
1987 07 791.6
1987 06 391.6
1987 05 531·5
1987 04 121.6
1987 03 581·6
1987 02 421·5
1987 01 941.6
1986 12 321·5
1986 11 811·6
1986 10 321.6
1986 09 111·6
1986 08 861·6
1986 07 931.6
1986 06 841.6
1986 05 91·6
1986 04 121.6
1986 03 611.7
1986 02 991·6
1986 01 211.7
1985 12 731·5
1985 11 811.6
1985 10 31.6
1985 09 31.5
1985 08 561.6
1985 07 711.5
1985 06 451.6
1985 05 381.5
1985 04 761·5
1985 03 761.6
1985 02 11.6
1985 01 311·6
1984 12 681.6
1984 11 651·6
1984 10 711.6
1984 09 141.6
1984 08 981.6
1984 07 321·6
1984 06 811·7
1984 05 441.5
1984 04 511·6
1984 03 961·6
1984 02 821·7
1984 01 31.6
1983 12 421·6
1983 11 11.5
1983 10 481·6
1983 09 971.6
1983 08 81.6
1983 07 161·7
1983 06 801.6
1983 05 571·6
1983 04 121·6
1983 03 371.6
1983 02 31.6
1983 01 421·6
1982 12 421·6
1982 11 801.6
1982 10 681·6
1982 09 311.6
1982 08 111.6
1982 07 921.6
1982 06 501·6
1982 05 321.6
1982 04 561.6
1982 03 401.6
1982 02 491.6
1982 01 761.6
1981 12 421.6
1981 11 201·6
1981 10 921·6
1981 09 211.5
1981 08 541.6
1981 07 501.6
1981 06 281.5
1981 05 471.6
1981 04 71.6
1981 03 741.6
1981 02 321·6
1981 01 611.6
1980 12 381.5
1980 11 611·5
1980 10 51.6
1980 09 961·6
1980 08 101·6
1980 07 71·6
1980 06 731·6
1980 05 71.6
1980 04 121·6
1980 03 291.6
1980 02 861.5
1980 01 761.5
1979 12 551.5
1979 11 721.5
1979 10 191.5
1979 09 101.5
1979 08 781·6
1979 07 51·5
1979 06 731.6
1979 05 411.5
1979 04 441·6
1979 03 221.5
1979 02 731.5
1979 01 241·6
1978 12 401.5
1978 11 431·5
1978 10 691.5
1978 09 431.6
1978 08 801.5
1978 07 111·5
1978 06 371.5
1978 05 31.5
1978 04 11·6
1978 03 961.6
1978 02 771.7
1978 01 361·6
1977 12 661·7
1977 11 911.7
1977 10 151·6
1977 09 991·6
1977 08 641.5
1977 07 171.6
1977 06 11·6
1977 05 731·5
1977 04 71.5
1977 03 161.6
1977 02 101·6
1977 01 651·6
1976 12 321·6
1976 11 591·6
1976 10 421·6
1976 09 71.6
1976 08 41.6
1976 07 391·7
1976 06 251.7
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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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