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 Series Title: Population Level: Not Enrolled in School, 16-24 years, Hispanic or Latino: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 03796·
 2012 03 483624.
 2012 02 103646·
 2012 01 143602·
 2011 12  113530·
 2011 11  553519.
 2011 10  33554·
 2011 09  403506.
 2011 08  334461·
 2011 07  54910·
 2011 06  414516·
 2011 05  93538.
 2011 04  153519.
 2011 03  793520·
 2011 02  363461·
 2011 01  643555.
 2010 12 333336.
 2010 11 833374.
 2010 10 273362.
 2010 09 753406·
 2010 08 874267·
 2010 07 494856.
 2010 06 764244.
 2010 05 353441.
 2010 04 23330·
 2010 03 343338.
 2010 02 713329.
 2010 01 653329.
 2009 12  303268.
 2009 11  193354·
 2009 10  253454·
 2009 09  83384.
 2009 08  464265.
 2009 07  124612·
 2009 06  774114.
 2009 05  333359.
 2009 04  493263·
 2009 03  433233.
 2009 02  883296.
 2009 01  343335.
 2008 12 653410.
 2008 11 703411·
 2008 10 473480·
 2008 09 313495.
 2008 08 454305.
 2008 07 734696·
 2008 06 664306.
 2008 05 683417·
 2008 04 643383·
 2008 03 603429.
 2008 02 853387·
 2008 01 143415·
 2007 12  223474·
 2007 11  633527·
 2007 10  643516.
 2007 09  623533.
 2007 08  454049.
 2007 07  374647.
 2007 06  934421.
 2007 05  333487·
 2007 04  833482.
 2007 03  653632.
 2007 02  853553·
 2007 01  693534·
 2006 12 123588·
 2006 11 533491.
 2006 10 763504·
 2006 09 413534·
 2006 08 324361·
 2006 07 334790·
 2006 06 314565·
 2006 05 433660·
 2006 04 683585·
 2006 03 613516·
 2006 02 363412·
 2006 01 943423.
 2005 12  713475·
 2005 11  193461·
 2005 10  53442·
 2005 09  373443.
 2005 08  164374.
 2005 07  144809.
 2005 06  764516·
 2005 05  423527.
 2005 04  33543.
 2005 03  783518.
 2005 02  113512.
 2005 01  33576.
 2004 12 593547·
 2004 11 673507.
 2004 10 993532·
 2004 09 393617·
 2004 08 324322·
 2004 07 624678.
 2004 06 524201.
 2004 05 953431·
 2004 04 03346.
 2004 03 713372.
 2004 02 93495.
 2004 01 393576.
 2003 12  613510·
 2003 11  243429.
 2003 10  323415.
 2003 09  663345.
 2003 08  424168.
 2003 07  794597.
 2003 06  84065.
 2003 05  953519.
 2003 04  933370·
 2003 03  183367.
 2003 02  523378.
 2003 01  703433·
 2002 12 893484.
 2002 11 463542.
 2002 10 03688·
 2002 09 603646.
 2002 08 304272·
 2002 07 964601.
 2002 06 164318·
 2002 05 583480·
 2002 04 433462·
 2002 03 233467.
 2002 02 883465·
 2002 01 863637·
 2001 12  773611.
 2001 11  113656.
 2001 10  283678.
 2001 09  863587·
 2001 08  84174·
 2001 07  654708·
 2001 06  754432.
 2001 05  273613·
 2001 04  363504.
 2001 03  173491.
 2001 02  913282.
 2001 01  43287.
 2000 12 863478·
 2000 11 243392·
 2000 10 643505·
 2000 09 363543·
 2000 08 104520·
 2000 07 684779·
 2000 06 74342·
 2000 05 673510·
 2000 04 823425.
 2000 03 543399.
 2000 02 583230·
 2000 01 673294.
 1999 12  32943.
 1999 11  152946·
 1999 10  803060.
 1999 09  283055·
 1999 08  983795·
 1999 07  74118.
 1999 06  603668·
 1999 05  722961·
 1999 04  172911.
 1999 03  122854·
 1999 02  132628·
 1999 01  402809.
 1998 12 372898·
 1998 11 372948·
 1998 10 743068.
 1998 09 42947.
 1998 08 563809·
 1998 07 134059·
 1998 06 83489.
 1998 05 562763.
 1998 04 22754.
 1998 03 972802·
 1998 02 32640·
 1998 01 172732·
 1997 12  232723.
 1997 11  702608.
 1997 10  702662.
 1997 09  292727·
 1997 08  963552·
 1997 07  393831.
 1997 06  493298.
 1997 05  632667·
 1997 04  212629.
 1997 03  362623·
 1997 02  12581·
 1997 01  132692·
 1996 12 232617·
 1996 11 182558.
 1996 10 162640.
 1996 09 972578.
 1996 08 533436·
 1996 07 653620.
 1996 06 53387·
 1996 05 602653.
 1996 04 862549.
 1996 03 862567·
 1996 02 72626·
 1996 01 702707.
 1995 12  222724.
 1995 11  102730.
 1995 10  842702.
 1995 09  232657·
 1995 08  883672.
 1995 07  963653·
 1995 06  253244.
 1995 05  372555.
 1995 04  322551.
 1995 03  242589·
 1995 02  422550·
 1995 01  562623.
 1994 12 312601.
 1994 11 12645·
 1994 10 732671.
 1994 09 492600·
 1994 08 853601.
 1994 07 603638·
 1994 06 813251.
 1994 05 122689.
 1994 04 192576·
 1994 03 552513·
 1994 02 542457·
 1994 01 622591.
 1993 12  852499·
 1993 11  702527·
 1993 10  52549.
 1993 09  432647·
 1993 08  563818.
 1993 07  113672·
 1993 06  723082.
 1993 05  262535·
 1993 04  342548.
 1993 03  102550.
 1993 02  182502.
 1993 01  42628·
 1992 12 442578.
 1992 11 222602.
 1992 10 302482·
 1992 09 962621.
 1992 08 363671.
 1992 07 303629·
 1992 06 213185.
 1992 05 472631·
 1992 04 872541.
 1992 03 402503.
 1992 02 302488.
 1992 01 252536·
 1991 12  952517.
 1991 11  852645.
 1991 10  192755.
 1991 09  252781·
 1991 08  863749·
 1991 07  203602.
 1991 06  763210·
 1991 05  662707·
 1991 04  122581·
 1991 03  272603.
 1991 02  142602·
 1991 01  912602.
 1990 12 472559.
 1990 11 142596·
 1990 10 712698.
 1990 09 712824.
 1990 08 923736.
 1990 07 113652·
 1990 06 103287·
 1990 05 992662·
 1990 04 712656.
 1990 03 752629·
 1990 02 182673.
 1990 01 952646·
 1989 12  372136·
 1989 11  882216·
 1989 10  92265·
 1989 09  22318·
 1989 08  633089.
 1989 07  562978.
 1989 06  202577.
 1989 05  902126·
 1989 04  502055.
 1989 03  122009.
 1989 02  151984.
 1989 01  532122·
 1988 12 242113.
 1988 11 122175·
 1988 10 812200·
 1988 09 92270·
 1988 08 353079.
 1988 07 363035.
 1988 06 312561.
 1988 05 42189·
 1988 04 592101·
 1988 03 932115.
 1988 02 32054.
 1988 01 62067.
 1987 12  952078.
 1987 11  142130·
 1987 10  602063.
 1987 09  92212.
 1987 08  692964.
 1987 07  552846·
 1987 06  902439.
 1987 05  332081·
 1987 04  331983·
 1987 03  981995.
 1987 02  51959·
 1987 01  222029·
 1986 12 602091·
 1986 11 492044·
 1986 10 442021·
 1986 09 442027·
 1986 08 512852·
 1986 07 412796.
 1986 06 692455.
 1986 05 952115·
 1986 04 322070·
 1986 03 302050.
 1986 02 692042.
 1986 01 922037.
 1985 12  541872.
 1985 11  971865.
 1985 10  561827.
 1985 09  811874·
 1985 08  912717·
 1985 07  502696.
 1985 06  682311.
 1985 05  301987·
 1985 04  441836.
 1985 03  191876·
 1985 02  681843·
 1985 01  341840·
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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.
or alter the examples after this blank template.







      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: Not Enrolled in School, 16-24 years, Hispanic or Latino: 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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