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2012 04 651·9
2012 03 612·0
2012 02 292.0
2012 01 902·0
2011 12 892·0
2011 11 732.1
2011 10 942.0
2011 09 301.9
2011 08 412.2
2011 07 462.1
2011 06 222·0
2011 05 312·2
2011 04 732·0
2011 03 622·1
2011 02 272.2
2011 01 382.1
2010 12 602.2
2010 11 272·1
2010 10 452.1
2010 09 192.1
2010 08 12·0
2010 07 732.0
2010 06 412·1
2010 05 682·0
2010 04 232.0
2010 03 562·1
2010 02 22.2
2010 01 62.1
2009 12 762·1
2009 11 592.2
2009 10 402.2
2009 09 752.2
2009 08 352·1
2009 07 872.1
2009 06 952·1
2009 05 452·2
2009 04 02.1
2009 03 732.2
2009 02 282.1
2009 01 112·0
2008 12 982.0
2008 11 722·0
2008 10 272.0
2008 09 901·9
2008 08 782·0
2008 07 682·1
2008 06 62·1
2008 05 292·0
2008 04 152.0
2008 03 662.0
2008 02 21.8
2008 01 942.0
2007 12 111·8
2007 11 981·9
2007 10 792·0
2007 09 821·9
2007 08 902·0
2007 07 212.1
2007 06 242·0
2007 05 101.9
2007 04 32·0
2007 03 161·9
2007 02 491.9
2007 01 231.9
2006 12 262·0
2006 11 892.0
2006 10 942·0
2006 09 912.0
2006 08 582.0
2006 07 741·9
2006 06 201·8
2006 05 61.9
2006 04 251.7
2006 03 261.9
2006 02 161.9
2006 01 892.0
2005 12 781·9
2005 11 261·9
2005 10 942.0
2005 09 842·0
2005 08 912.0
2005 07 821.9
2005 06 931.9
2005 05 592.1
2005 04 661.8
2005 03 251.9
2005 02 752·1
2005 01 92·0
2004 12 281·8
2004 11 121·9
2004 10 291.9
2004 09 542.0
2004 08 262.0
2004 07 252·1
2004 06 662·0
2004 05 362.1
2004 04 372·0
2004 03 691·9
2004 02 262·0
2004 01 252.1
2002 12 611.9
2002 11 772.1
2002 10 702.0
2002 09 161.9
2002 08 232.0
2002 07 62.0
2002 06 872.2
2002 05 281.9
2002 04 741.9
2002 03 361.9
2002 02 902·1
2002 01 41·9
2001 12 881·9
2001 11 752·1
2001 10 172·1
2001 09 142.1
2001 08 672·0
2001 07 542·0
2001 06 292·0
2001 05 521·8
2001 04 361.8
2001 03 311.8
2001 02 171·8
2001 01 371·8
2000 12 451.9
2000 11 852·0
2000 10 911.8
2000 09 131.9
2000 08 701·9
2000 07 251·7
2000 06 911.8
2000 05 501·8
2000 04 101·8
2000 03 821·8
2000 02 781·8
2000 01 411·8
1999 12 921·8
1999 11 121.9
1999 10 421.7
1999 09 61.8
1999 08 652·0
1999 07 982.0
1999 06 941·7
1999 05 881·8
1999 04 61·7
1999 03 451·9
1999 02 732·0
1999 01 582.0
1998 12 141.8
1998 11 861.8
1998 10 421.8
1998 09 81.7
1998 08 151·8
1998 07 761.8
1998 06 881.9
1998 05 591·8
1998 04 601.9
1998 03 981.8
1998 02 251·9
1998 01 541.9
1997 12 231·8
1997 11 592.1
1997 10 892·0
1997 09 632·0
1997 08 51.8
1997 07 891·9
1997 06 451·9
1997 05 801·9
1997 04 311·8
1997 03 461.8
1997 02 801.8
1997 01 231.9
1996 12 531.9
1996 11 121.8
1996 10 71.9
1996 09 371.8
1996 08 441.9
1996 07 922.0
1996 06 631.9
1996 05 911.9
1996 04 71·8
1996 03 191·8
1996 02 132.0
1996 01 791.9
1995 12 651.9
1995 11 482·0
1995 10 431.8
1995 09 211.8
1995 08 701·9
1995 07 631·9
1995 06 661.9
1995 05 601.9
1995 04 961·9
1995 03 691·8
1995 02 211.9
1995 01 661·8
1994 12 451·7
1994 11 981·8
1993 12 701.8
1993 11 331.7
1993 10 411.8
1993 09 71.7
1993 08 11·7
1993 07 791·8
1993 06 361.8
1993 05 781·8
1993 04 271.7
1993 03 501.8
1993 02 31.9
1993 01 161·8
1992 12 871.8
1992 11 141.8
1992 10 451·8
1992 09 541.8
1992 08 421.8
1992 07 651.8
1992 06 861·7
1992 05 481·8
1992 04 801·8
1992 03 231·7
1992 02 761·8
1992 01 801.8
1991 12 161·8
1991 11 311.8
1991 10 911.7
1991 09 571.7
1991 08 861.7
1991 07 591.7
1991 06 311.7
1991 05 91·8
1991 04 531.9
1991 03 11·8
1991 02 221·7
1991 01 951.8
1990 12 61.6
1990 11 761.7
1990 10 151·7
1990 09 951·7
1990 08 561·7
1990 07 281·7
1990 06 831.7
1990 05 171·7
1990 04 431·7
1990 03 261·7
1990 02 291·6
1990 01 911·7
1989 12 291.8
1989 11 651·8
1989 10 771·6
1989 09 741·6
1989 08 11.7
1989 07 631.6
1989 06 771.7
1989 05 491·7
1989 04 741.7
1989 03 661·7
1989 02 61·7
1989 01 211·7
1988 12 841.6
1988 11 411.7
1988 10 631.5
1988 09 221.6
1988 08 941.6
1988 07 831.6
1988 06 741.7
1988 05 101·8
1988 04 931·6
1988 03 111·6
1988 02 891.7
1988 01 651·7
1987 12 931·7
1987 11 701.8
1987 10 841·6
1987 09 941.7
1987 08 331.6
1987 07 281·6
1987 06 581.7
1987 05 301.6
1987 04 741·6
1987 03 791.6
1987 02 391·8
1987 01 271·7
1986 12 61.6
1986 11 441·7
1986 10 751·7
1986 09 691·6
1986 08 401·6
1986 07 651·6
1986 06 421·7
1986 05 621·7
1986 04 151·6
1986 03 121.7
1986 02 401.6
1986 01 371·6
1985 12 941·7
1985 11 801.6
1985 10 961·6
1985 09 521·7
1985 08 641.6
1985 07 861.7
1985 06 591.7
1985 05 871·7
1985 04 391.6
1985 03 761.7
1985 02 51·7
1985 01 491.8
1984 12 561.7
1984 11 191.6
1984 10 341.6
1984 09 711·6
1984 08 781·7
1984 07 81.6
1984 06 711·7
1984 05 81·6
1984 04 931.6
1984 03 641.6
1984 02 681·6
1984 01 421·7
1983 12 141.7
1983 11 291·6
1983 10 981.6
1983 09 801.6
1983 08 791.6
1983 07 731.5
1983 06 641.6
1983 05 541.6
1983 04 511.6
1983 03 911·7
1983 02 891·7
1983 01 201.7
1982 12 181.7
1982 11 11·7
1982 10 251·7
1982 09 601.6
1982 08 921.6
1982 07 471·6
1982 06 471.6
1982 05 811·6
1982 04 121.6
1982 03 01.7
1982 02 551·6
1982 01 131.6
1981 12 401·6
1981 11 521.6
1981 10 741·6
1981 09 151.6
1981 08 641·6
1981 07 231·6
1981 06 561·6
1981 05 671·7
1981 04 971·6
1981 03 571.7
1981 02 751.7
1981 01 751·5
1980 12 771.6
1980 11 231.6
1980 10 321·5
1980 09 731.5
1980 08 671.5
1980 07 161.5
1980 06 531·5
1980 05 161·5
1980 04 551·5
1980 03 551.5
1980 02 861.5
1980 01 861·6
1979 12 541.5
1979 11 831·5
1979 10 91.4
1979 09 891·6
1979 08 11.5
1979 07 701·5
1979 06 211·6
1979 05 581·5
1979 04 591·7
1979 03 101·5
1979 02 481·6
1979 01 491·5
1978 12 171.4
1978 11 211·5
1978 10 411.5
1978 09 431.5
1978 08 881·5
1978 07 501·5
1978 06 731.4
1978 05 481.5
1978 04 81.5
1978 03 631.5
1978 02 471.6
1978 01 941.6
1977 12 411·6
1977 11 561.6
1977 10 871.4
1977 09 391·5
1977 08 761.5
1977 07 481.5
1977 06 441.5
1977 05 631·5
1977 04 241.5
1977 03 831·5
1977 02 931.6
1977 01 751·5
1976 12 231·8
1976 11 291·6
1976 10 341.5
1976 09 51.4
1976 08 381.4
1976 07 821·5
1976 06 931·5
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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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