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 Series Title: Population Level: Enrolled in High 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 402555·
 2012 03 92426.
 2012 02 562419.
 2012 01 332360.
 2011 12  192097.
 2011 11  902111·
 2011 10  292069.
 2011 09  462056.
 2011 08  331557.
 2011 07  391286·
 2011 06  721652.
 2011 05  262434·
 2011 04  322310.
 2011 03  362326·
 2011 02  972297.
 2011 01  172191·
 2010 12 932086·
 2010 11 892061·
 2010 10 432050.
 2010 09 901985.
 2010 08 151409·
 2010 07 291045·
 2010 06 721618.
 2010 05 372206·
 2010 04 232241·
 2010 03 132098·
 2010 02 722019·
 2010 01 782082·
 2009 12  682086.
 2009 11  222019·
 2009 10  561873·
 2009 09  571868.
 2009 08  261263·
 2009 07  631029.
 2009 06  631518·
 2009 05  431975·
 2009 04  972036·
 2009 03  682102·
 2009 02  541975.
 2009 01  311990.
 2008 12 61974·
 2008 11 941972·
 2008 10 181907.
 2008 09 391793·
 2008 08 31282·
 2008 07 21988·
 2008 06 681316.
 2008 05 121904.
 2008 04 651955·
 2008 03 571899·
 2008 02 411882.
 2008 01 191886.
 2007 12  911792·
 2007 11  331758.
 2007 10  11702.
 2007 09  541739·
 2007 08  61478.
 2007 07  61028·
 2007 06  351265·
 2007 05  361997.
 2007 04  621894·
 2007 03  581787·
 2007 02  571838.
 2007 01  91852.
 2006 12 331738·
 2006 11 951800.
 2006 10 31738·
 2006 09 421676.
 2006 08 211153.
 2006 07 48825·
 2006 06 381114.
 2006 05 301781·
 2006 04 491780·
 2006 03 761791.
 2006 02 481755·
 2006 01 921778·
 2005 12  701730·
 2005 11  581745·
 2005 10  471644.
 2005 09  711688·
 2005 08  571079·
 2005 07  2786.
 2005 06  731027·
 2005 05  381722·
 2005 04  121701.
 2005 03  391620.
 2005 02  891603.
 2005 01  851644.
 2004 12 601642.
 2004 11 271622·
 2004 10 821560·
 2004 09 331527.
 2004 08 521056·
 2004 07 46777·
 2004 06 651198·
 2004 05 251695·
 2004 04 611685·
 2004 03 31661.
 2004 02 761653.
 2004 01 311627·
 2003 12  901568·
 2003 11  301579·
 2003 10  791568.
 2003 09  441599.
 2003 08  641075·
 2003 07  84736.
 2003 06  611190·
 2003 05  841681·
 2003 04  321648.
 2003 03  471609.
 2003 02  351587.
 2003 01  951555.
 2002 12 711456·
 2002 11 241448·
 2002 10 381435.
 2002 09 461284·
 2002 08 80966.
 2002 07 47726.
 2002 06 34940.
 2002 05 321559·
 2002 04 851538·
 2002 03 741538·
 2002 02 111493·
 2002 01 701433.
 2001 12  371378.
 2001 11  861350·
 2001 10  811304·
 2001 09  61269.
 2001 08  10928·
 2001 07  89661·
 2001 06  83945·
 2001 05  91466.
 2001 04  61471·
 2001 03  151494·
 2001 02  791509·
 2001 01  721518.
 2000 12 491443·
 2000 11 201460·
 2000 10 571392.
 2000 09 161341.
 2000 08 90747·
 2000 07 87587·
 2000 06 30873.
 2000 05 831516.
 2000 04 51528·
 2000 03 231501·
 2000 02 361464.
 2000 01 441447·
 1999 12  931321.
 1999 11  571294·
 1999 10  381252·
 1999 09  921202·
 1999 08  81748.
 1999 07  48521·
 1999 06  24923.
 1999 05  471372.
 1999 04  181344·
 1999 03  771370.
 1999 02  61366.
 1999 01  521356·
 1998 12 801281.
 1998 11 511231·
 1998 10 231150.
 1998 09 771158·
 1998 08 67665·
 1998 07 1478·
 1998 06 37953.
 1998 05 151426.
 1998 04 51381.
 1998 03 831344.
 1998 02 371331.
 1998 01 871345.
 1997 12  441261.
 1997 11  801224.
 1997 10  341189.
 1997 09  361182·
 1997 08  60689.
 1997 07  98530·
 1997 06  68970.
 1997 05  311379.
 1997 04  521343·
 1997 03  691290.
 1997 02  01304.
 1997 01  671270·
 1996 12 471195·
 1996 11 501159.
 1996 10 201118.
 1996 09 621084·
 1996 08 94589·
 1996 07 21509·
 1996 06 39752.
 1996 05 621240·
 1996 04 701262.
 1996 03 901229·
 1996 02 961190.
 1996 01 341087·
 1995 12  741054·
 1995 11  891067·
 1995 10  53982·
 1995 09  731021·
 1995 08  31408·
 1995 07  73429·
 1995 06  99744.
 1995 05  981132·
 1995 04  931074.
 1995 03  251100.
 1995 02  461096.
 1995 01  531090·
 1994 12 351098·
 1994 11 511085.
 1994 10 321051.
 1994 09 81039.
 1994 08 57398.
 1994 07 83327.
 1994 06 21697·
 1994 05 571096.
 1994 04 841073.
 1994 03 781072.
 1994 02 991083.
 1994 01 181079·
 1993 12  661037.
 1993 11  171037.
 1993 10  801008.
 1993 09  36914.
 1993 08  80215.
 1993 07  6325·
 1993 06  2744.
 1993 05  801083.
 1993 04  261047·
 1993 03  781007·
 1993 02  281012.
 1993 01  441005·
 1992 12 29988·
 1992 11 90953.
 1992 10 45964.
 1992 09 48891·
 1992 08 39249.
 1992 07 22260·
 1992 06 66666.
 1992 05 351044.
 1992 04 311049.
 1992 03 811082·
 1992 02 301023·
 1992 01 74981.
 1991 12  71021·
 1991 11  99940·
 1991 10  99887.
 1991 09  60925·
 1991 08  91233·
 1991 07  33273·
 1991 06  62619·
 1991 05  131024.
 1991 04  341064·
 1991 03  641067.
 1991 02  301013·
 1991 01  75993·
 1990 12 121038.
 1990 11 01039·
 1990 10 42959·
 1990 09 16896.
 1990 08 24243.
 1990 07 70318·
 1990 06 60608·
 1990 05 30989·
 1990 04 971010.
 1990 03 33940·
 1990 02 74946.
 1990 01 37941.
 1989 12  79775.
 1989 11  70753.
 1989 10  95717.
 1989 09  81722.
 1989 08  48129·
 1989 07  88175·
 1989 06  61511·
 1989 05  30860.
 1989 04  3842·
 1989 03  17786·
 1989 02  36772·
 1989 01  79642·
 1988 12 70657·
 1988 11 15619.
 1988 10 7628.
 1988 09 47624·
 1988 08 98117·
 1988 07 64142.
 1988 06 87477·
 1988 05 78828.
 1988 04 64820.
 1988 03 70743.
 1988 02 14727.
 1988 01 41727·
 1987 12  68714·
 1987 11  64698·
 1987 10  51694.
 1987 09  31582.
 1987 08  35121.
 1987 07  4195·
 1987 06  86514·
 1987 05  66785.
 1987 04  16833·
 1987 03  71797.
 1987 02  32779·
 1987 01  91736.
 1986 12 86706·
 1986 11 71694.
 1986 10 26710·
 1986 09 75657.
 1986 08 45120.
 1986 07 37226·
 1986 06 31497.
 1986 05 12766·
 1986 04 19744·
 1986 03 24766·
 1986 02 36789.
 1986 01 20751.
 1985 12  58713.
 1985 11  16713.
 1985 10  53679·
 1985 09  46658.
 1985 08  3772·
 1985 07  17144.
 1985 06  20490.
 1985 05  56773·
 1985 04  58780·
 1985 03  60733·
 1985 02  0728.
 1985 01  46696·
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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: Enrolled in High 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

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