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2012 04 182.0
2012 03 351·7
2012 02 622.0
2012 01 141.8
2011 12 311·7
2011 11 531.7
2011 10 251.9
2011 09 201·8
2011 08 911.8
2011 07 511·8
2011 06 711.9
2011 05 61·8
2011 04 501.9
2011 03 112·0
2011 02 112.1
2011 01 151·9
2010 12 821·8
2010 11 381·9
2010 10 841.8
2010 09 181·8
2010 08 871.8
2010 07 651·8
2010 06 531·9
2010 05 81·7
2010 04 921·9
2010 03 481·7
2010 02 61.9
2010 01 51.6
2009 12 461.9
2009 11 692·0
2009 10 561.9
2009 09 521.7
2009 08 251.8
2009 07 351·8
2009 06 401·8
2009 05 191·9
2009 04 302·0
2009 03 771·6
2009 02 211.7
2009 01 01·6
2008 12 851·6
2008 11 521.6
2008 10 871·7
2008 09 141·5
2008 08 411·6
2008 07 411.6
2008 06 521.4
2008 05 51.4
2008 04 741·6
2008 03 511.6
2008 02 531.6
2008 01 431·7
2007 12 831·5
2007 11 141·9
2007 10 531.6
2007 09 211·9
2007 08 951.9
2007 07 871.4
2007 06 401·4
2007 05 581·6
2007 04 601.5
2007 03 511.5
2007 02 261·2
2007 01 01.7
2006 12 531.3
2006 11 121·5
2006 10 501·8
2006 09 141.5
2006 08 741.8
2006 07 21.7
2006 06 751.6
2006 05 951.7
2006 04 491·6
2006 03 791.3
2006 02 881·5
2006 01 621.5
2005 12 281.5
2005 11 231·8
2005 10 21·6
2005 09 601·5
2005 08 871·6
2005 07 421.6
2005 06 551.6
2005 05 571.7
2005 04 261.5
2005 03 662·1
2005 02 111·4
2005 01 481.5
2004 12 701·7
2004 11 531.7
2004 10 561.4
2004 09 511·7
2004 08 701.6
2004 07 841·7
2004 06 51·4
2004 05 111.6
2004 04 11·7
2004 03 661.7
2004 02 941·4
2004 01 981·8
2002 12 641·8
2002 11 301·7
2002 10 871·6
2002 09 41.7
2002 08 831.6
2002 07 331·7
2002 06 711·6
2002 05 501·8
2002 04 111·4
2002 03 571·7
2002 02 601·3
2002 01 792.2
2001 12 201·4
2001 11 91·9
2001 10 911·3
2001 09 611.4
2001 08 131·7
2001 07 191.3
2001 06 271.4
2001 05 891·5
2001 04 151.1
2001 03 451·3
2001 02 561·4
2001 01 831.2
2000 12 751·6
2000 11 691.3
2000 10 921·2
2000 09 881.6
2000 08 701.2
2000 07 961.3
2000 06 711·3
2000 05 711.2
2000 04 991.5
2000 03 591·4
2000 02 571·4
2000 01 281·4
1999 12 891.5
1999 11 141·5
1999 10 371.4
1999 09 771.4
1999 08 891·3
1999 07 431·8
1999 06 261·5
1999 05 621.5
1999 04 751·4
1999 03 531·3
1999 02 591.8
1999 01 541.7
1998 12 471·5
1998 11 751.2
1998 10 11.1
1998 09 451.3
1998 08 311.4
1998 07 651·4
1998 06 391.5
1998 05 551.4
1998 04 761·5
1998 03 61.7
1998 02 871·4
1998 01 281·6
1997 12 601·4
1997 11 41·5
1997 10 811.5
1997 09 341.6
1997 08 811·4
1997 07 911·2
1997 06 851.1
1997 05 661.3
1997 04 651·3
1997 03 231·8
1997 02 871·6
1997 01 431.6
1996 12 631.3
1996 11 811·3
1996 10 01.4
1996 09 101.4
1996 08 501·6
1996 07 741.4
1996 06 611.2
1996 05 361.0
1996 04 261·9
1996 03 321.5
1996 02 341·2
1996 01 151·8
1995 12 171·3
1995 11 121.2
1995 10 61·7
1995 09 661·8
1995 08 731.6
1995 07 951.5
1995 06 902·0
1995 05 341·4
1995 04 701.5
1995 03 881·4
1995 02 241·6
1995 01 861·8
1994 12 82·2
1994 11 241·8
1993 12 721.4
1993 11 181·4
1993 10 121.4
1993 09 581·5
1993 08 201·5
1993 07 491·4
1993 06 331·3
1993 05 711.5
1993 04 821·6
1993 03 231·7
1993 02 461.4
1993 01 721.3
1992 12 961.6
1992 11 81.6
1992 10 511·8
1992 09 911.8
1992 08 241·5
1992 07 01·6
1992 06 741·7
1992 05 851.6
1992 04 551·8
1992 03 171·4
1992 02 661·5
1992 01 361.8
1991 12 11·6
1991 11 31·6
1991 10 11.5
1991 09 501·5
1991 08 11·5
1991 07 281.4
1991 06 811·4
1991 05 591.6
1991 04 161·4
1991 03 851·3
1991 02 291.3
1991 01 201·3
1990 12 361·3
1990 11 951·4
1990 10 981·2
1990 09 131·3
1990 08 731·6
1990 07 01.4
1990 06 621.3
1990 05 471.2
1990 04 641.4
1990 03 701.5
1990 02 221.4
1990 01 521·4
1989 12 731.6
1989 11 991·8
1989 10 21·2
1989 09 861·2
1989 08 881·1
1989 07 71.3
1989 06 541·5
1989 05 291·3
1989 04 211.4
1989 03 372.0
1989 02 531·6
1989 01 891·2
1988 12 111·7
1988 11 591.6
1988 10 991·4
1988 09 961.4
1988 08 191·7
1988 07 671·3
1988 06 181·8
1988 05 91·5
1988 04 351.5
1988 03 791·4
1988 02 591.5
1988 01 71.4
1987 12 711.2
1987 11 411.4
1987 10 991·3
1987 09 991·4
1987 08 651·5
1987 07 211.6
1987 06 381·9
1987 05 161.4
1987 04 801.5
1987 03 131·6
1987 02 11·3
1987 01 131·8
1986 12 41.4
1986 11 371.6
1986 10 381·4
1986 09 741.5
1986 08 491.1
1986 07 361.0
1986 06 261.5
1986 05 41·6
1986 04 541.2
1986 03 801.8
1986 02 631.2
1986 01 351.4
1985 12 811.4
1985 11 631.0
1985 10 771·4
1985 09 251.4
1985 08 181.5
1985 07 41·3
1985 06 161·4
1985 05 531.5
1985 04 781·5
1985 03 471.5
1985 02 571·3
1985 01 281·5
1984 12 01·4
1984 11 611.2
1984 10 01.3
1984 09 811·2
1984 08 461·2
1984 07 411·5
1984 06 701.3
1984 05 681.5
1984 04 31·6
1984 03 61·2
1984 02 181·4
1984 01 711·6
1983 12 851.9
1983 11 991·6
1983 10 191·6
1983 09 961.6
1983 08 301·6
1983 07 901·7
1983 06 731·2
1983 05 761.1
1983 04 01.5
1983 03 731·3
1983 02 61·2
1983 01 671.5
1982 12 841.4
1982 11 671.3
1982 10 691.3
1982 09 511.1
1982 08 941·1
1982 07 171.8
1982 06 361·3
1982 05 341.4
1982 04 681·3
1982 03 911.6
1982 02 81.4
1982 01 481·4
1981 12 691·4
1981 11 841·4
1981 10 101.3
1981 09 491.3
1981 08 851.3
1981 07 141.5
1981 06 931·6
1981 05 201·5
1981 04 291.5
1981 03 261·5
1981 02 331.4
1981 01 661·5
1980 12 391·6
1980 11 901·5
1980 10 291.3
1980 09 201·3
1980 08 781·4
1980 07 981·3
1980 06 71·5
1980 05 371·5
1980 04 331·3
1980 03 711.6
1980 02 171.4
1980 01 11.5
1979 12 171.2
1979 11 521·3
1979 10 351.7
1979 09 171.6
1979 08 691·0
1979 07 101.4
1979 06 611.1
1979 05 171.2
1979 04 511·7
1979 03 411.4
1979 02 211·4
1979 01 571.5
1978 12 511·3
1978 11 621·3
1978 10 641·2
1978 09 201.3
1978 08 821·5
1978 07 181.3
1978 06 671.3
1978 05 121.6
1978 04 821·4
1978 03 791·5
1978 02 301·4
1978 01 651.4
1977 12 131·3
1977 11 371·3
1977 10 781.5
1977 09 341.4
1977 08 651.3
1977 07 131.4
1977 06 611.4
1977 05 31·3
1977 04 491·3
1977 03 511.3
1977 02 551.8
1977 01 771.5
1976 12 31.5
1976 11 191·2
1976 10 601.7
1976 09 881·6
1976 08 911·6
1976 07 121.4
1976 06 21.7
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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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