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2012 04 672.1
2012 03 62·1
2012 02 52.0
2012 01 792·1
2011 12 672.1
2011 11 122·1
2011 10 562·1
2011 09 722·1
2011 08 152.1
2011 07 972.1
2011 06 882·0
2011 05 452.1
2011 04 612.1
2011 03 442·1
2011 02 162.2
2011 01 422.1
2010 12 812.2
2010 11 592·2
2010 10 772·1
2010 09 332·1
2010 08 742.1
2010 07 732.1
2010 06 342.1
2010 05 102.1
2010 04 662.1
2010 03 442·2
2010 02 742·2
2010 01 952.1
2009 12 72.2
2009 11 532.1
2009 10 112·1
2009 09 292·2
2009 08 742·1
2009 07 62.1
2009 06 822·2
2009 05 842.2
2009 04 662.2
2009 03 352.2
2009 02 512.2
2009 01 522·1
2008 12 92.1
2008 11 982·2
2008 10 52.1
2008 09 542·0
2008 08 532.0
2008 07 742.1
2008 06 582.1
2008 05 322·1
2008 04 732·0
2008 03 722·0
2008 02 462·0
2008 01 572·0
2007 12 701·9
2007 11 232·1
2007 10 332.0
2007 09 231.9
2007 08 691·9
2007 07 832.1
2007 06 72·0
2007 05 482·0
2007 04 222·1
2007 03 342·0
2007 02 812.0
2007 01 772.0
2006 12 21·9
2006 11 831·9
2006 10 931.9
2006 09 782·0
2006 08 102·0
2006 07 611.9
2006 06 51.9
2006 05 472.0
2006 04 731·9
2006 03 251·9
2006 02 52·0
2006 01 21.9
2005 12 391·9
2005 11 571·9
2005 10 72·0
2005 09 872.0
2005 08 862·0
2005 07 622·0
2005 06 482·0
2005 05 722.0
2005 04 122.0
2005 03 741.9
2005 02 912.0
2005 01 502.1
2004 12 441.9
2004 11 492.0
2004 10 242.0
2004 09 412.0
2004 08 312.0
2004 07 672.1
2004 06 602.1
2004 05 892.2
2004 04 502.0
2004 03 362.0
2004 02 372.1
2004 01 622.1
2002 12 02·1
2002 11 882.1
2002 10 172.0
2002 09 562·0
2002 08 82·1
2002 07 792.0
2002 06 892.2
2002 05 892.0
2002 04 222.0
2002 03 912·0
2002 02 652·1
2002 01 62·0
2001 12 192.0
2001 11 302.2
2001 10 832.2
2001 09 752.1
2001 08 02·1
2001 07 282·1
2001 06 71·9
2001 05 911·9
2001 04 892·0
2001 03 411·9
2001 02 241·9
2001 01 731·9
2000 12 371·9
2000 11 522·0
2000 10 471.8
2000 09 651·9
2000 08 191.9
2000 07 671.8
2000 06 141·8
2000 05 361·8
2000 04 361·8
2000 03 181·8
2000 02 871.8
2000 01 801·9
1999 12 131.8
1999 11 601.9
1999 10 551.8
1999 09 171·8
1999 08 02.0
1999 07 771·9
1999 06 311.8
1999 05 901·9
1999 04 741·8
1999 03 741.9
1999 02 522·0
1999 01 682.0
1998 12 331·9
1998 11 831·9
1998 10 811·9
1998 09 471·8
1998 08 51·8
1998 07 612·0
1998 06 72.0
1998 05 451·9
1998 04 381·9
1998 03 891·8
1998 02 421.9
1998 01 61·9
1997 12 91.8
1997 11 752·0
1997 10 242.0
1997 09 992·0
1997 08 171.9
1997 07 492·0
1997 06 152·0
1997 05 182.0
1997 04 891·8
1997 03 681.9
1997 02 51.9
1997 01 832·0
1996 12 742.0
1996 11 151·9
1996 10 52.0
1996 09 382·0
1996 08 492.0
1996 07 952·0
1996 06 542.0
1996 05 512.0
1996 04 132·0
1996 03 401·9
1996 02 142.0
1996 01 172·0
1995 12 911.9
1995 11 81.9
1995 10 731.9
1995 09 561.9
1995 08 351·9
1995 07 781·9
1995 06 451.9
1995 05 112·0
1995 04 191.9
1995 03 591.9
1995 02 671·9
1995 01 511.8
1994 12 441.8
1994 11 821·9
1993 12 21·9
1993 11 711·8
1993 10 361.8
1993 09 31.7
1993 08 381.8
1993 07 891.9
1993 06 441.9
1993 05 51.8
1993 04 871·9
1993 03 501.8
1993 02 452·0
1993 01 931.9
1992 12 891.9
1992 11 231.9
1992 10 381·9
1992 09 01.9
1992 08 51·9
1992 07 21.9
1992 06 481.8
1992 05 811.9
1992 04 231·9
1992 03 71.8
1992 02 271.9
1992 01 191·9
1991 12 571.9
1991 11 801·9
1991 10 501.8
1991 09 211·8
1991 08 441·8
1991 07 931·9
1991 06 171.8
1991 05 171.9
1991 04 471.9
1991 03 381.9
1991 02 531.8
1991 01 661.9
1990 12 541.8
1990 11 341.7
1990 10 101.8
1990 09 471·7
1990 08 781·7
1990 07 271·8
1990 06 611·7
1990 05 681·8
1990 04 571·8
1990 03 851.8
1990 02 81.7
1990 01 611.8
1989 12 531.8
1989 11 11.9
1989 10 761.8
1989 09 821·7
1989 08 561.8
1989 07 971·7
1989 06 161.8
1989 05 121.7
1989 04 761·8
1989 03 141.8
1989 02 21.7
1989 01 591.8
1988 12 531·7
1988 11 241·8
1988 10 361.7
1988 09 551.7
1988 08 501.7
1988 07 191.7
1988 06 421·8
1988 05 551.8
1988 04 531·7
1988 03 191·7
1988 02 711·8
1988 01 411.8
1987 12 771.7
1987 11 681.8
1987 10 981.7
1987 09 201.7
1987 08 581.7
1987 07 361.7
1987 06 241·7
1987 05 241·8
1987 04 611·7
1987 03 151.7
1987 02 751.8
1987 01 91·7
1986 12 721.7
1986 11 261·7
1986 10 01·8
1986 09 571.7
1986 08 41·7
1986 07 131·7
1986 06 751.8
1986 05 751.8
1986 04 961.7
1986 03 451·9
1986 02 01·8
1986 01 941.7
1985 12 111·7
1985 11 151·6
1985 10 11·8
1985 09 701·7
1985 08 361·7
1985 07 431·7
1985 06 281.7
1985 05 871.8
1985 04 841·7
1985 03 741.8
1985 02 561·8
1985 01 491.7
1984 12 931·7
1984 11 761.7
1984 10 871.8
1984 09 891.7
1984 08 261.8
1984 07 431.7
1984 06 441.8
1984 05 641.7
1984 04 711.7
1984 03 951·7
1984 02 791.7
1984 01 541.8
1983 12 401·8
1983 11 761·8
1983 10 681·7
1983 09 671·7
1983 08 721·7
1983 07 551.7
1983 06 101·7
1983 05 351·8
1983 04 301·7
1983 03 251·8
1983 02 301·8
1983 01 131·8
1982 12 11·8
1982 11 71·8
1982 10 801.7
1982 09 851·7
1982 08 991·7
1982 07 441·7
1982 06 351.7
1982 05 551·7
1982 04 611·7
1982 03 61.8
1982 02 941.7
1982 01 561.7
1981 12 491.7
1981 11 861·6
1981 10 841·7
1981 09 451.6
1981 08 531·6
1981 07 41·7
1981 06 551.6
1981 05 31·7
1981 04 851·7
1981 03 31·7
1981 02 821.7
1981 01 371·6
1980 12 821·6
1980 11 541.7
1980 10 651·6
1980 09 781·6
1980 08 81·6
1980 07 501.6
1980 06 311·6
1980 05 831.6
1980 04 501·6
1980 03 101·7
1980 02 281·6
1980 01 341.6
1979 12 221.5
1979 11 791.6
1979 10 341·5
1979 09 381.7
1979 08 621.6
1979 07 251.6
1979 06 481.6
1979 05 251.6
1979 04 311·7
1979 03 431·7
1979 02 951.7
1979 01 531.6
1978 12 181·5
1978 11 521.5
1978 10 261·5
1978 09 41·6
1978 08 371.5
1978 07 951.5
1978 06 161.6
1978 05 831.5
1978 04 241·6
1978 03 431.6
1978 02 671.7
1978 01 231·7
1977 12 441·6
1977 11 891·7
1977 10 21·5
1977 09 801·5
1977 08 821·8
1977 07 531.6
1977 06 721.6
1977 05 361.6
1977 04 541·7
1977 03 781·6
1977 02 541·7
1977 01 981·6
1976 12 961.7
1976 11 341·7
1976 10 471.7
1976 09 961.7
1976 08 711·6
1976 07 141·6
1976 06 761·6
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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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