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 Series Title: Population Level: 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 514331·
 2012 03 714489.
 2012 02 794454.
 2012 01 774484·
 2011 12  924156·
 2011 11  524152.
 2011 10  894101·
 2011 09  644133·
 2011 08  173161.
 2011 07  502695·
 2011 06  183074·
 2011 05  684037.
 2011 04  794041·
 2011 03  464024.
 2011 02  804069.
 2011 01  343959.
 2010 12 513867.
 2010 11 483815.
 2010 10 133811.
 2010 09 303752.
 2010 08 342876·
 2010 07 882272.
 2010 06 792870.
 2010 05 513659.
 2010 04 543757.
 2010 03 213736.
 2010 02 663732·
 2010 01 163718·
 2009 12  623564·
 2009 11  293463·
 2009 10  873347.
 2009 09  703401.
 2009 08  312504.
 2009 07  202140.
 2009 06  802622·
 2009 05  803363.
 2009 04  643445·
 2009 03  243459.
 2009 02  83381.
 2009 01  423328·
 2008 12 843341·
 2008 11 983323.
 2008 10 593238·
 2008 09 753206·
 2008 08 432380.
 2008 07 251972·
 2008 06 452347.
 2008 05 223220·
 2008 04 173239.
 2008 03 103177·
 2008 02 53204.
 2008 01 533162·
 2007 12  43185·
 2007 11  863119·
 2007 10  23118·
 2007 09  623088·
 2007 08  322560·
 2007 07  81950·
 2007 06  232163·
 2007 05  683085·
 2007 04  493079.
 2007 03  592918.
 2007 02  812987.
 2007 01  162996·
 2006 12 322870·
 2006 11 452956·
 2006 10 142931.
 2006 09 732891.
 2006 08 812055.
 2006 07 981616.
 2006 06 851830.
 2006 05 362723·
 2006 04 222788·
 2006 03 742845·
 2006 02 822940.
 2006 01 212918·
 2005 12  42908.
 2005 11  562913·
 2005 10  182921·
 2005 09  752911·
 2005 08  31971·
 2005 07  491527.
 2005 06  311812.
 2005 05  662794.
 2005 04  202772·
 2005 03  852792·
 2005 02  832795.
 2005 01  882727·
 2004 12 792768·
 2004 11 222801·
 2004 10 632768.
 2004 09 592675.
 2004 08 321962·
 2004 07 401596.
 2004 06 832067.
 2004 05 262831.
 2004 04 542910·
 2004 03 472875.
 2004 02 812745.
 2004 01 562656·
 2003 12  452607.
 2003 11  742681.
 2003 10  212687·
 2003 09  432749.
 2003 08  301918.
 2003 07  771482.
 2003 06  892006·
 2003 05  72544.
 2003 04  602684.
 2003 03  382682·
 2003 02  992668·
 2003 01  932605·
 2002 12 102489·
 2002 11 642474.
 2002 10 902433.
 2002 09 682478·
 2002 08 811751.
 2002 07 871404.
 2002 06 231577·
 2002 05 272440.
 2002 04 982520·
 2002 03 632551.
 2002 02 862562·
 2002 01 902439.
 2001 12  112437·
 2001 11  742394·
 2001 10  932346.
 2001 09  12436.
 2001 08  961785.
 2001 07  261249·
 2001 06  811522·
 2001 05  272217·
 2001 04  542286.
 2001 03  512381.
 2001 02  142485·
 2001 01  652531·
 2000 12 92416.
 2000 11 62521·
 2000 10 792412.
 2000 09 332396.
 2000 08 121350·
 2000 07 731058·
 2000 06 891381.
 2000 05 752114.
 2000 04 382207.
 2000 03 572264.
 2000 02 822419·
 2000 01 592376.
 1999 12  882084.
 1999 11  912143.
 1999 10  201999·
 1999 09  821980·
 1999 08  871249.
 1999 07  31916·
 1999 06  931404·
 1999 05  602033·
 1999 04  862015.
 1999 03  592085·
 1999 02  122244·
 1999 01  402179.
 1998 12 602138·
 1998 11 822108.
 1998 10 151968·
 1998 09 892008.
 1998 08 91197·
 1998 07 31913.
 1998 06 661493.
 1998 05 22123·
 1998 04 582104·
 1998 03 632081.
 1998 02 522106·
 1998 01 982081.
 1997 12  592077.
 1997 11  592068.
 1997 10  862041.
 1997 09  212020·
 1997 08  861233·
 1997 07  27989·
 1997 06  71498·
 1997 05  402058.
 1997 04  412109.
 1997 03  972090.
 1997 02  762110.
 1997 01  502045.
 1996 12 471883.
 1996 11 261910.
 1996 10 821838·
 1996 09 701820.
 1996 08 561006·
 1996 07 97840.
 1996 06 381090·
 1996 05 431815·
 1996 04 431913.
 1996 03 151920.
 1996 02 821890·
 1996 01 401799.
 1995 12  91743.
 1995 11  131774.
 1995 10  761779.
 1995 09  531782·
 1995 08  79787·
 1995 07  46800.
 1995 06  81141·
 1995 05  21814.
 1995 04  21742.
 1995 03  981734·
 1995 02  921728·
 1995 01  321723.
 1994 12 561786.
 1994 11 731748·
 1994 10 651732·
 1994 09 111776·
 1994 08 39718·
 1994 07 4688·
 1994 06 901072·
 1994 05 341676.
 1994 04 781707·
 1994 03 481755·
 1994 02 551811.
 1994 01 191729·
 1993 12  221750·
 1993 11  861761.
 1993 10  731764·
 1993 09  111663.
 1993 08  48478·
 1993 07  25587·
 1993 06  821113.
 1993 05  801626·
 1993 04  551642·
 1993 03  971608.
 1993 02  441718·
 1993 01  181649.
 1992 12 701649.
 1992 11 571617.
 1992 10 481694.
 1992 09 461573.
 1992 08 41480·
 1992 07 88524.
 1992 06 6969.
 1992 05 71520.
 1992 04 461650·
 1992 03 971689.
 1992 02 571690·
 1992 01 711650.
 1991 12  831700·
 1991 11  141611.
 1991 10  631511.
 1991 09  311448·
 1991 08  79465·
 1991 07  97568.
 1991 06  11975·
 1991 05  81496.
 1991 04  841616.
 1991 03  281641·
 1991 02  161615·
 1991 01  441553·
 1990 12 731618·
 1990 11 121609.
 1990 10 151506.
 1990 09 91397.
 1990 08 47460.
 1990 07 82528.
 1990 06 71885·
 1990 05 981455.
 1990 04 311503.
 1990 03 941481.
 1990 02 711467·
 1990 01 291456.
 1989 12  761215·
 1989 11  301193.
 1989 10  281169·
 1989 09  471131.
 1989 08  56323·
 1989 07  97372·
 1989 06  82773.
 1989 05  201210.
 1989 04  731233·
 1989 03  261232.
 1989 02  931274.
 1989 01  431104.
 1988 12 511126.
 1988 11 731101.
 1988 10 511079·
 1988 09 361045·
 1988 08 41284·
 1988 07 21331·
 1988 06 68766.
 1988 05 411192·
 1988 04 191207.
 1988 03 761158·
 1988 02 811201·
 1988 01 281178·
 1987 12  851192.
 1987 11  701141.
 1987 10  551166·
 1987 09  921024.
 1987 08  64308·
 1987 07  59397.
 1987 06  77786·
 1987 05  521165.
 1987 04  61228·
 1987 03  251264.
 1987 02  591281.
 1987 01  511173.
 1986 12 871171·
 1986 11 741157.
 1986 10 401187·
 1986 09 591148·
 1986 08 8270.
 1986 07 39375·
 1986 06 82717·
 1986 05 701104.
 1986 04 941123.
 1986 03 761178.
 1986 02 731216.
 1986 01 31162.
 1985 12  951119.
 1985 11  661082.
 1985 10  271064.
 1985 09  21082·
 1985 08  86221·
 1985 07  17286.
 1985 06  81685.
 1985 05  371044.
 1985 04  681169.
 1985 03  591111.
 1985 02  981128·
 1985 01  11094·
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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, 16-24 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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