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 Series Title: Population Level: 16-19 years, Hispanic or Latino Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 121878.
 2012 03 81878·
 2012 02 751878·
 2012 01 661878.
 2011 12  591826·
 2011 11  311824.
 2011 10  651822.
 2011 09  711819·
 2011 08  401816·
 2011 07  221812·
 2011 06  251810.
 2011 05  431807·
 2011 04  71805·
 2011 03  621802·
 2011 02  671800.
 2011 01  271797·
 2010 12 341677.
 2010 11 571675·
 2010 10 301673.
 2010 09 911671·
 2010 08 231668·
 2010 07 391666.
 2010 06 771664·
 2010 05 301663·
 2010 04 991661·
 2010 03 651660.
 2010 02 941658·
 2010 01 631656.
 2009 12  111611.
 2009 11  161608·
 2009 10  961606·
 2009 09  351602.
 2009 08  371598.
 2009 07  01595·
 2009 06  191591.
 2009 05  131588·
 2009 04  741584.
 2009 03  471580.
 2009 02  281576.
 2009 01  931572·
 2008 12 501583.
 2008 11 141578·
 2008 10 91573·
 2008 09 941567.
 2008 08 151561.
 2008 07 841555·
 2008 06 761550.
 2008 05 591545.
 2008 04 441540.
 2008 03 621535·
 2008 02 661529.
 2008 01 581523.
 2007 12  371534·
 2007 11  801529·
 2007 10  431524.
 2007 09  851518·
 2007 08  201513·
 2007 07  961507.
 2007 06  951502.
 2007 05  591497.
 2007 04  431492·
 2007 03  901486.
 2007 02  331481·
 2007 01  241476·
 2006 12 811460·
 2006 11 691454.
 2006 10 971448.
 2006 09 501442·
 2006 08 361436·
 2006 07 651430·
 2006 06 491424.
 2006 05 301419·
 2006 04 321413.
 2006 03 341407.
 2006 02 761402.
 2006 01 841396·
 2005 12  191401.
 2005 11  581396·
 2005 10  931391.
 2005 09  561386·
 2005 08  741381.
 2005 07  451377.
 2005 06  361373.
 2005 05  141368.
 2005 04  961364·
 2005 03  241361.
 2005 02  681358·
 2005 01  541355·
 2004 12 111353.
 2004 11 541349.
 2004 10 791346·
 2004 09 941343.
 2004 08 701340·
 2004 07 151337.
 2004 06 791334.
 2004 05 781330.
 2004 04 471327·
 2004 03 151325.
 2004 02 81323.
 2004 01 761320.
 2003 12  431313·
 2003 11  841311.
 2003 10  281309·
 2003 09  811307.
 2003 08  841305.
 2003 07  801303.
 2003 06  271300.
 2003 05  141297.
 2003 04  191294·
 2003 03  851293·
 2003 02  181292.
 2003 01  171291·
 2002 12 251287.
 2002 11 41289.
 2002 10 381290·
 2002 09 601291·
 2002 08 11292·
 2002 07 701292·
 2002 06 521293.
 2002 05 381294.
 2002 04 741295.
 2002 03 391297.
 2002 02 461299·
 2002 01 681301.
 2001 12  921303·
 2001 11  921305.
 2001 10  331307.
 2001 09  971308·
 2001 08  331309·
 2001 07  381310·
 2001 06  521310·
 2001 05  921311·
 2001 04  961312·
 2001 03  61313·
 2001 02  651314.
 2001 01  471314.
 2000 12 61318.
 2000 11 541322·
 2000 10 601326·
 2000 09 831328·
 2000 08 151331.
 2000 07 631335.
 2000 06 511337.
 2000 05 431339·
 2000 04 961342.
 2000 03 401338·
 2000 02 741339·
 2000 01 951339·
 1999 12  521202.
 1999 11  171201.
 1999 10  931200·
 1999 09  361199·
 1999 08  71196·
 1999 07  501194·
 1999 06  961190·
 1999 05  821187.
 1999 04  111183.
 1999 03  221180.
 1999 02  951177.
 1999 01  801174·
 1998 12 401179.
 1998 11 371176·
 1998 10 291172.
 1998 09 971170.
 1998 08 941167·
 1998 07 291163.
 1998 06 611160·
 1998 05 281156.
 1998 04 01152.
 1998 03 541148.
 1998 02 771145.
 1998 01 921142.
 1997 12  61134.
 1997 11  931132·
 1997 10  921129·
 1997 09  331128·
 1997 08  891125·
 1997 07  541122.
 1997 06  431118·
 1997 05  201114.
 1997 04  481111.
 1997 03  671107.
 1997 02  931104.
 1997 01  481101·
 1996 12 101011·
 1996 11 891007.
 1996 10 291004·
 1996 09 361001·
 1996 08 25998.
 1996 07 3994·
 1996 06 66991.
 1996 05 27987·
 1996 04 68983.
 1996 03 14979·
 1996 02 40976·
 1996 01 91973·
 1995 12  39972·
 1995 11  55968·
 1995 10  14966.
 1995 09  22964·
 1995 08  64962.
 1995 07  81959.
 1995 06  77958.
 1995 05  40957·
 1995 04  93908.
 1995 03  75947.
 1995 02  42944·
 1995 01  87940.
 1994 12 2934·
 1994 11 44920.
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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: 16-19 years, Hispanic or Latino Men: 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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