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 Series Title: Population Level: Enrolled in School, 16-19 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 83014·
 2012 03 742940·
 2012 02 22961.
 2012 01 912976.
 2011 12  602770·
 2011 11  322752·
 2011 10  322752.
 2011 09  152723·
 2011 08  152049.
 2011 07  271667·
 2011 06  11979.
 2011 05  752824·
 2011 04  252771·
 2011 03  392775·
 2011 02  202792·
 2011 01  162714·
 2010 12 642627.
 2010 11 752635·
 2010 10 292663.
 2010 09 62597·
 2010 08 341919.
 2010 07 671443·
 2010 06 901984.
 2010 05 402608·
 2010 04 582626.
 2010 03 722575.
 2010 02 912529.
 2010 01 362581.
 2009 12  892514·
 2009 11  712445·
 2009 10  452365.
 2009 09  392436.
 2009 08  01720·
 2009 07  711432·
 2009 06  901841.
 2009 05  182404.
 2009 04  942442·
 2009 03  32508.
 2009 02  882408.
 2009 01  682391·
 2008 12 942412·
 2008 11 252395·
 2008 10 282346.
 2008 09 72291·
 2008 08 511677·
 2008 07 171334·
 2008 06 221601·
 2008 05 792290.
 2008 04 422327·
 2008 03 862299.
 2008 02 82298·
 2008 01 532319·
 2007 12  652269·
 2007 11  652222.
 2007 10  502234.
 2007 09  252210.
 2007 08  471832·
 2007 07  91333·
 2007 06  351509·
 2007 05  122222·
 2007 04  382204.
 2007 03  02150·
 2007 02  762169.
 2007 01  592203·
 2006 12 132094·
 2006 11 452178·
 2006 10 102109·
 2006 09 362073·
 2006 08 731474.
 2006 07 761076·
 2006 06 21319.
 2006 05 352008·
 2006 04 432052·
 2006 03 502020.
 2006 02 382067.
 2006 01 772079.
 2005 12  742052·
 2005 11  472062.
 2005 10  322041·
 2005 09  62087·
 2005 08  401347.
 2005 07  74996.
 2005 06  211277·
 2005 05  901980·
 2005 04  422012.
 2005 03  641943·
 2005 02  681991.
 2005 01  241997.
 2004 12 71920·
 2004 11 721948.
 2004 10 621875.
 2004 09 271903.
 2004 08 831394.
 2004 07 811013·
 2004 06 151392.
 2004 05 441966.
 2004 04 472025·
 2004 03 971952.
 2004 02 641912.
 2004 01 421888·
 2003 12  981820·
 2003 11  511856.
 2003 10  741873.
 2003 09  171928.
 2003 08  631319.
 2003 07  1961·
 2003 06  311319·
 2003 05  871869·
 2003 04  911875.
 2003 03  281861.
 2003 02  501887·
 2003 01  981848·
 2002 12 591749.
 2002 11 391814.
 2002 10 661756·
 2002 09 171714·
 2002 08 651263.
 2002 07 65884·
 2002 06 441076.
 2002 05 381721·
 2002 04 371737·
 2002 03 621725·
 2002 02 721727.
 2002 01 821718·
 2001 12  241749·
 2001 11  141680·
 2001 10  621628·
 2001 09  931630.
 2001 08  11197.
 2001 07  25799·
 2001 06  511072.
 2001 05  381649·
 2001 04  691695·
 2001 03  291730.
 2001 02  41769.
 2001 01  131802.
 2000 12 541705·
 2000 11 801740·
 2000 10 81697·
 2000 09 371673.
 2000 08 5945.
 2000 07 62709·
 2000 06 761035·
 2000 05 541668·
 2000 04 981720·
 2000 03 811736.
 2000 02 451759·
 2000 01 321764.
 1999 12  341569.
 1999 11  681574.
 1999 10  791520.
 1999 09  671474.
 1999 08  38925·
 1999 07  80615.
 1999 06  651059.
 1999 05  771544.
 1999 04  601529·
 1999 03  991565.
 1999 02  171638·
 1999 01  61603.
 1998 12 761492·
 1998 11 311490·
 1998 10 721406.
 1998 09 241483.
 1998 08 86846.
 1998 07 8616·
 1998 06 931058.
 1998 05 241582.
 1998 04 151550·
 1998 03 861487·
 1998 02 681557·
 1998 01 261579.
 1997 12  141510.
 1997 11  481505·
 1997 10  101497.
 1997 09  741455.
 1997 08  58874.
 1997 07  0678.
 1997 06  571074.
 1997 05  381509.
 1997 04  481511.
 1997 03  731464.
 1997 02  711491·
 1997 01  101456.
 1996 12 101375.
 1996 11 241346·
 1996 10 421325·
 1996 09 111341·
 1996 08 92744·
 1996 07 35573·
 1996 06 80800·
 1996 05 841352.
 1996 04 711364.
 1996 03 131349·
 1996 02 251351·
 1996 01 991286.
 1995 12  481293.
 1995 11  881319.
 1995 10  401254.
 1995 09  491284.
 1995 08  47500·
 1995 07  19491·
 1995 06  11779.
 1995 05  551283.
 1995 04  191233·
 1995 03  861234.
 1995 02  531264.
 1995 01  591275·
 1994 12 391300·
 1994 11 951273.
 1994 10 21230.
 1994 09 321248.
 1994 08 9480·
 1994 07 80421.
 1994 06 22750.
 1994 05 671213.
 1994 04 521222.
 1994 03 951211·
 1994 02 11260.
 1994 01 841225.
 1993 12  201222.
 1993 11  241207.
 1993 10  521219.
 1993 09  261128·
 1993 08  88274·
 1993 07  72369.
 1993 06  12805.
 1993 05  631200.
 1993 04  561189.
 1993 03  711139.
 1993 02  441200·
 1993 01  891191·
 1992 12 501180·
 1992 11 791138·
 1992 10 371207·
 1992 09 231150·
 1992 08 20303·
 1992 07 75326.
 1992 06 3727.
 1992 05 91166·
 1992 04 411229.
 1992 03 681226.
 1992 02 801209·
 1992 01 161147·
 1991 12  141202.
 1991 11  891132·
 1991 10  311084·
 1991 09  391053·
 1991 08  65308·
 1991 07  93340.
 1991 06  44699.
 1991 05  971126·
 1991 04  431221.
 1991 03  641200.
 1991 02  321167.
 1991 01  331138.
 1990 12 251185·
 1990 11 81196·
 1990 10 321100·
 1990 09 171033.
 1990 08 9288·
 1990 07 56330·
 1990 06 8657·
 1990 05 431069·
 1990 04 231100.
 1990 03 651080·
 1990 02 471062·
 1990 01 301084.
 1989 12  16915.
 1989 11  17903·
 1989 10  62873·
 1989 09  23877·
 1989 08  63197.
 1989 07  18235.
 1989 06  92571.
 1989 05  90884·
 1989 04  66904·
 1989 03  99908.
 1989 02  99939·
 1989 01  26821·
 1988 12 49823.
 1988 11 19796.
 1988 10 70811·
 1988 09 49779.
 1988 08 62146.
 1988 07 57178.
 1988 06 20572.
 1988 05 4901.
 1988 04 82918.
 1988 03 21850·
 1988 02 85863·
 1988 01 60853.
 1987 12  9839.
 1987 11  43818.
 1987 10  29834·
 1987 09  12707·
 1987 08  67179.
 1987 07  79253.
 1987 06  39562·
 1987 05  77867·
 1987 04  8921·
 1987 03  10930·
 1987 02  29920·
 1987 01  1844·
 1986 12 6821·
 1986 11 44816.
 1986 10 37865.
 1986 09 53826.
 1986 08 63150.
 1986 07 12240.
 1986 06 24548.
 1986 05 26841·
 1986 04 3830·
 1986 03 71870·
 1986 02 79890.
 1986 01 41865.
 1985 12  77825·
 1985 11  2821.
 1985 10  16798.
 1985 09  40822.
 1985 08  61120.
 1985 07  11176.
 1985 06  71528.
 1985 05  93815·
 1985 04  54852·
 1985 03  32821.
 1985 02  8819·
 1985 01  95813.
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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 School, 16-19 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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