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 Series Title: Population Level: 70-74 years, White Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 1981 01  993549·
 1981 02  133558.
 1981 03  213569·
 1981 04  843572·
 1981 05  853573·
 1981 06  83586.
 1981 07  413589.
 1981 08  13594.
 1981 09  873599.
 1981 10  523613.
 1981 11  123618·
 1981 12  673626.
 1982 01 553633.
 1982 02 263634·
 1982 03 473640·
 1982 04 263645·
 1982 05 663659·
 1982 06 373655.
 1982 07 833659.
 1982 08 473662·
 1982 09 193669·
 1982 10 163675·
 1982 11 843687.
 1982 12 243696.
 1983 01  403707·
 1983 02  203711.
 1983 03  383717·
 1983 04  763719·
 1983 05  793728.
 1983 06  313734.
 1983 07  573743.
 1983 08  473754·
 1983 09  123758·
 1983 10  553761.
 1983 11  793767·
 1983 12  73770·
 1984 01 393777·
 1984 02 243785·
 1984 03 673794·
 1984 04 503804.
 1984 05 853806.
 1984 06 953810.
 1984 07 103816·
 1984 08 943825.
 1984 09 23831.
 1984 10 493835.
 1984 11 193837.
 1984 12 843846.
 1985 01  633793·
 1985 02  933796.
 1985 03  333800.
 1985 04  903803·
 1985 05  703806.
 1985 06  583811·
 1985 07  153816.
 1985 08  43818·
 1985 09  493822·
 1985 10  23825.
 1985 11  523829·
 1985 12  473832.
 1986 01 483829.
 1986 02 53832·
 1986 03 583835.
 1986 04 633837·
 1986 05 453840.
 1986 06 753842.
 1986 07 703845.
 1986 08 203848·
 1986 09 393852·
 1986 10 433856·
 1986 11 513859·
 1986 12 123863.
 1987 01  553867.
 1987 02  653870.
 1987 03  903874.
 1987 04  603876.
 1987 05  443880·
 1987 06  243883·
 1987 07  993887.
 1987 08  73890.
 1987 09  823895.
 1987 10  263899.
 1987 11  153904·
 1987 12  223907.
 1988 01 683914·
 1988 02 33918·
 1988 03 33922.
 1988 04 993924·
 1988 05 293927·
 1988 06 113933.
 1988 07 493937.
 1988 08 583938.
 1988 09 143941·
 1988 10 313944.
 1988 11 673946.
 1988 12 423950.
 1989 01  993949·
 1989 02  723951.
 1989 03  943954.
 1989 04  213955.
 1989 05  843958·
 1989 06  633961·
 1989 07  943964.
 1989 08  903967·
 1989 09  953971·
 1989 10  633976·
 1989 11  543980.
 1989 12  663984.
 1990 01 823961·
 1990 02 523960·
 1990 03 873964·
 1990 04 943969·
 1990 05 213974·
 1990 06 373979.
 1990 07 313985·
 1990 08 433992.
 1990 09 113999.
 1990 10 494006·
 1990 11 494014·
 1990 12 94021.
 1991 01  794028.
 1991 02  464036.
 1991 03  294041.
 1991 04  84049.
 1991 05  754058.
 1991 06  104067·
 1991 07  844077.
 1991 08  874087.
 1991 09  734097.
 1991 10  454107·
 1991 11  524116.
 1991 12  134125.
 1992 01 754134.
 1992 02 864141.
 1992 03 954147.
 1992 04 814155·
 1992 05 64161.
 1992 06 874169·
 1992 07 14176.
 1992 08 114181.
 1992 09 164188·
 1992 10 314193·
 1992 11 834199.
 1992 12 454204.
 1993 01  814209.
 1993 02  244213·
 1993 03  804217·
 1993 04  554220.
 1993 05  04224·
 1993 06  984228.
 1993 07  544232·
 1993 08  324236·
 1993 09  04240·
 1993 10  94244.
 1993 11  934248·
 1993 12  984252.
 1994 01 314256.
 1994 02 404259·
 1994 03 104264.
 1994 04 954267.
 1994 05 684271·
 1994 06 964277·
 1994 07 424282·
 1994 08 944287.
 1994 09 124293·
 1994 10 104298·
 1994 11 534303·
 1994 12 874307·
 1995 01  884308.
 1995 02  384311.
 1995 03  314311.
 1995 04  954314.
 1995 05  454314.
 1995 06  624315·
 1995 07  884317.
 1995 08  614316.
 1995 09  614315·
 1995 10  884314·
 1995 11  624311·
 1995 12  554308·
 1996 01 354304·
 1996 02 484299·
 1996 03 174294·
 1996 04 714291·
 1996 05 924287·
 1996 06 994284.
 1996 07 404280·
 1996 08 274276.
 1996 09 844272·
 1996 10 224268·
 1996 11 434263·
 1996 12 684259.
 1997 01  844247·
 1997 02  244241.
 1997 03  664236·
 1997 04  644232.
 1997 05  944231·
 1997 06  364231.
 1997 07  704231·
 1997 08  84231·
 1997 09  404232.
 1997 10  164233·
 1997 11  444233·
 1997 12  194233.
 1998 01 714215.
 1998 02 454230.
 1998 03 14256·
 1998 04 424253.
 1998 05 624248.
 1998 06 294243·
 1998 07 784226.
 1998 08 454220·
 1998 09 154216·
 1998 10 04196.
 1998 11 384197·
 1998 12 234197·
 1999 01  554206·
 1999 02  154206·
 1999 03  704198.
 1999 04  964188.
 1999 05  324194.
 1999 06  564208·
 1999 07  854200·
 1999 08  64193·
 1999 09  214177·
 1999 10  284157·
 1999 11  234161.
 1999 12  244162.
 2000 01 234273.
 2000 02 644250·
 2000 03 464245.
 2000 04 434261.
 2000 05 634258·
 2000 06 214253.
 2000 07 414256·
 2000 08 824263.
 2000 09 924254.
 2000 10 804250·
 2000 11 224253.
 2000 12 864250·
 2001 01  844239·
 2001 02  474226·
 2001 03  274210.
 2001 04  254205.
 2001 05  414202.
 2001 06  544208.
 2001 07  184196.
 2001 08  914177.
 2001 09  884162.
 2001 10  594171·
 2001 11  834170·
 2001 12  44170.
 2002 01 754173·
 2002 02 424156.
 2002 03 364147·
 2002 04 84140·
 2002 05 784145·
 2002 06 104138.
 2002 07 134134·
 2002 08 734147.
 2002 09 974139.
 2002 10 954119.
 2002 11 794116·
 2002 12 924105.
 2003 01  574079.
 2003 02  534069.
 2003 03  214060·
 2003 04  854054.
 2003 05  84048·
 2003 06  664040.
 2003 07  514030·
 2003 08  964020·
 2003 09  274014·
 2003 10  424002·
 2003 11  83999·
 2003 12  933991.
 2004 01 133997.
 2004 02 103991.
 2004 03 553984.
 2004 04 723979.
 2004 05 923978·
 2004 06 293977.
 2004 07 793974.
 2004 08 513971·
 2004 09 153971.
 2004 10 793969·
 2004 11 943970.
 2004 12 753964.
 2005 01  563969·
 2005 02  683964·
 2005 03  373960·
 2005 04  113954.
 2005 05  163950·
 2005 06  273947·
 2005 07  713941.
 2005 08  563940.
 2005 09  213942·
 2005 10  123940·
 2005 11  843935.
 2005 12  273931·
 2006 01 213936·
 2006 02 53937.
 2006 03 893934.
 2006 04 703934.
 2006 05 903934·
 2006 06 143931.
 2006 07 233931.
 2006 08 523931·
 2006 09 313933·
 2006 10 683935·
 2006 11 513938.
 2006 12 683937.
 2007 01  673944·
 2007 02  263938·
 2007 03  593938·
 2007 04  383935·
 2007 05  503939·
 2007 06  693942.
 2007 07  603940.
 2007 08  63946.
 2007 09  553950·
 2007 10  33956·
 2007 11  933959·
 2007 12  403961.
 2008 01 823968·
 2008 02 613974.
 2008 03 213979.
 2008 04 343985·
 2008 05 563991.
 2008 06 983997·
 2008 07 304003·
 2008 08 94015·
 2008 09 294026·
 2008 10 964037.
 2008 11 344045·
 2008 12 84049.
 2009 01  744067.
 2009 02  634075.
 2009 03  724080.
 2009 04  04083.
 2009 05  944087.
 2009 06  294092·
 2009 07  54096.
 2009 08  794100·
 2009 09  134105·
 2009 10  514112·
 2009 11  224113·
 2009 12  654117·
 2010 01 814125·
 2010 02 114131.
 2010 03 354135·
 2010 04 14142·
 2010 05 744148·
 2010 06 164154.
 2010 07 834161·
 2010 08 574170·
 2010 09 934178.
 2010 10 974186·
 2010 11 294194.
 2010 12 274204·
 2011 01  624204.
 2011 02  114210·
 2011 03  594219·
 2011 04  304224.
 2011 05  324235.
 2011 06  394242.
 2011 07  884251.
 2011 08  104267.
 2011 09  794281.
 2011 10  884296·
 2011 11  534304·
 2011 12  374315.
 2012 01 34413.


 2012 02 914428.
 2012 03 174445·
 2012 04 44460.
 2012 05 294475·
 2012 06 24488.
 2012 07 684503.
 2012 08 314525·
 2012 09 84540.
 2012 10 54559.
 2012 11 184589·
 2012 12 614620.
 2013 01  144651·
 2013 02  54674·
 2013 03  64697.
 2013 04  644719·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

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.
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      Example 1: Get Unemployment Rates for people in Computer jobs







      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







      Example 3: Get Population Level Data for Workers





 Series Title: Population Level: 70-74 years, White Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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