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 Series Title: Population Level: Enrolled in College 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 811776·
 2012 03 02064.
 2012 02 662035·
 2012 01 302124·
 2011 12  712059.
 2011 11  672042·
 2011 10  02032.
 2011 09  792076.
 2011 08  961604.
 2011 07  21409·
 2011 06  31422·
 2011 05  951602.
 2011 04  71731·
 2011 03  851698·
 2011 02  901772.
 2011 01  221768·
 2010 12 781780·
 2010 11 241754·
 2010 10 961761·
 2010 09 301767.
 2010 08 111466·
 2010 07 501227·
 2010 06 861253·
 2010 05 131453.
 2010 04 301516·
 2010 03 201638·
 2010 02 471713.
 2010 01 901636·
 2009 12  871478.
 2009 11  151444.
 2009 10  931473.
 2009 09  51533·
 2009 08  561241.
 2009 07  421112·
 2009 06  601104·
 2009 05  281388.
 2009 04  371409.
 2009 03  331357.
 2009 02  121406·
 2009 01  511337·
 2008 12 571367·
 2008 11 441351·
 2008 10 371331·
 2008 09 961413·
 2008 08 651098·
 2008 07 58985.
 2008 06 481031.
 2008 05 41316·
 2008 04 381284.
 2008 03 801278.
 2008 02 821322.
 2008 01 471276.
 2007 12  751393·
 2007 11  421361·
 2007 10  31416·
 2007 09  181349·
 2007 08  11083.
 2007 07  1922.
 2007 06  98898·
 2007 05  361088.
 2007 04  681184.
 2007 03  381132.
 2007 02  801150·
 2007 01  451145.
 2006 12 501132.
 2006 11 611156·
 2006 10 881194.
 2006 09 141216.
 2006 08 49901.
 2006 07 1791.
 2006 06 83716.
 2006 05 38942.
 2006 04 881007·
 2006 03 141055.
 2006 02 551185.
 2006 01 361140.
 2005 12  201178.
 2005 11  821168·
 2005 10  151277·
 2005 09  511224·
 2005 08  18892.
 2005 07  12740.
 2005 06  2785.
 2005 05  541073.
 2005 04  841071.
 2005 03  351173.
 2005 02  781193·
 2005 01  371083.
 2004 12 431126·
 2004 11 91180·
 2004 10 321209.
 2004 09 211148·
 2004 08 45906.
 2004 07 14819·
 2004 06 76869.
 2004 05 491136.
 2004 04 661225·
 2004 03 571214.
 2004 02 491092·
 2004 01 901028.
 2003 12  61039·
 2003 11  701102.
 2003 10  121120·
 2003 09  401150.
 2003 08  90843.
 2003 07  10746.
 2003 06  55817·
 2003 05  16862·
 2003 04  691036.
 2003 03  581073.
 2003 02  901081.
 2003 01  621051.
 2002 12 191032·
 2002 11 211026·
 2002 10 54999.
 2002 09 491194·
 2002 08 39785·
 2002 07 31678·
 2002 06 11637·
 2002 05 71881.
 2002 04 55982.
 2002 03 441013.
 2002 02 491069.
 2002 01 451006.
 2001 12  181059.
 2001 11  411043.
 2001 10  801042.
 2001 09  171167·
 2001 08  2857.
 2001 07  30588.
 2001 06  43576·
 2001 05  56750.
 2001 04  9815.
 2001 03  42887.
 2001 02  0976.
 2001 01  551012·
 2000 12 63973·
 2000 11 341062.
 2000 10 391020.
 2000 09 351055.
 2000 08 15603.
 2000 07 87471.
 2000 06 73508·
 2000 05 38598·
 2000 04 40679.
 2000 03 8763·
 2000 02 40954.
 2000 01 35929·
 1999 12  40763·
 1999 11  28849·
 1999 10  3747·
 1999 09  19778.
 1999 08  38502.
 1999 07  5396.
 1999 06  49481.
 1999 05  9662·
 1999 04  86671.
 1999 03  20714.
 1999 02  93878·
 1999 01  50823.
 1998 12 59857·
 1998 11 80877.
 1998 10 70818·
 1998 09 11850.
 1998 08 57532·
 1998 07 15435.
 1998 06 45540·
 1998 05 86697.
 1998 04 6723.
 1998 03 84738.
 1998 02 6775.
 1998 01 93736·
 1997 12  56816·
 1997 11  67844.
 1997 10  64853.
 1997 09  78838.
 1997 08  83544.
 1997 07  71459·
 1997 06  59528·
 1997 05  10679.
 1997 04  86766·
 1997 03  28800.
 1997 02  52806·
 1997 01  81775·
 1996 12 92688.
 1996 11 94751.
 1996 10 33721·
 1996 09 13736·
 1996 08 50416·
 1996 07 52332·
 1996 06 13338.
 1996 05 48574·
 1996 04 37652.
 1996 03 7691.
 1996 02 31700·
 1996 01 55712.
 1995 12  51688.
 1995 11  91707.
 1995 10  49797.
 1995 09  30762.
 1995 08  20379.
 1995 07  61370.
 1995 06  56397·
 1995 05  91682·
 1995 04  93668.
 1995 03  99634.
 1995 02  64632.
 1995 01  83633.
 1994 12 46688·
 1994 11 11663·
 1994 10 11680.
 1994 09 74737.
 1994 08 78320·
 1994 07 29361·
 1994 06 60375.
 1994 05 58579·
 1994 04 16634.
 1994 03 10684·
 1994 02 0728·
 1994 01 55650.
 1993 12  10713.
 1993 11  35724·
 1993 10  42756·
 1993 09  9750.
 1993 08  35262·
 1993 07  10262.
 1993 06  25369.
 1993 05  89543.
 1993 04  91595.
 1993 03  68601·
 1993 02  11707.
 1993 01  90644.
 1992 12 5661·
 1992 11 66664·
 1992 10 89730.
 1992 09 29682.
 1992 08 26231.
 1992 07 83264·
 1992 06 72302·
 1992 05 52476·
 1992 04 29601·
 1992 03 29606·
 1992 02 96667.
 1992 01 27669·
 1991 12  16680·
 1991 11  33671.
 1991 10  26624.
 1991 09  50523·
 1991 08  11232.
 1991 07  53295.
 1991 06  49356·
 1991 05  38471·
 1991 04  65552.
 1991 03  70574.
 1991 02  79603.
 1991 01  36560·
 1990 12 54580.
 1990 11 91570·
 1990 10 52547.
 1990 09 13501·
 1990 08 77217.
 1990 07 48210·
 1990 06 31277·
 1990 05 63466·
 1990 04 60493·
 1990 03 97542·
 1990 02 6521.
 1990 01 6516·
 1989 12  54440·
 1989 11  19440.
 1989 10  88452·
 1989 09  85409.
 1989 08  34193·
 1989 07  23197.
 1989 06  15262.
 1989 05  71350.
 1989 04  0391.
 1989 03  38446.
 1989 02  51502.
 1989 01  55462.
 1988 12 77468.
 1988 11 22482.
 1988 10 83451·
 1988 09 59421.
 1988 08 17168·
 1988 07 57189.
 1988 06 24290·
 1988 05 26364·
 1988 04 94388.
 1988 03 49415·
 1988 02 12474.
 1988 01 26451·
 1987 12  8478·
 1987 11  29443.
 1987 10  10473.
 1987 09  51442·
 1987 08  86187·
 1987 07  55202.
 1987 06  5272.
 1987 05  23380.
 1987 04  78396·
 1987 03  8467·
 1987 02  12503.
 1987 01  83437·
 1986 12 59466·
 1986 11 94462·
 1986 10 67477·
 1986 09 3491·
 1986 08 29151·
 1986 07 45149.
 1986 06 33220.
 1986 05 76337·
 1986 04 14379·
 1986 03 19413.
 1986 02 99427·
 1986 01 21411.
 1985 12  63406.
 1985 11  96369·
 1985 10  77385.
 1985 09  82425.
 1985 08  54149.
 1985 07  83142.
 1985 06  5196.
 1985 05  28271·
 1985 04  85389·
 1985 03  12378·
 1985 02  46400·
 1985 01  54398·
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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 College 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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