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 Series Title: Employment Level: Hispanic or Latino Ethnicity, 16-24 yrs: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2003 01  203137.
 2003 02  343157·
 2003 03  643190.
 2003 04  983197.
 2003 05  513168·
 2003 06  403203·
 2003 07  833244·
 2003 08  283174·
 2003 09  53097·
 2003 10  03151·
 2003 11  593144·
 2003 12  133139·
 2004 01 313108·
 2004 02 963062.
 2004 03 53149·
 2004 04 973235·
 2004 05 63263·
 2004 06 353377.
 2004 07 593428.
 2004 08 503428.
 2004 09 303270.
 2004 10 503374·
 2004 11 843315.
 2004 12 653220.
 2005 01  283076.
 2005 02  953113.
 2005 03  683184.
 2005 04  613226.
 2005 05  513276·
 2005 06  533412.
 2005 07  233428.
 2005 08  833306·
 2005 09  733273·
 2005 10  313281.
 2005 11  883350.
 2005 12  993325.
 2006 01 963324·
 2006 02 603282.
 2006 03 253358.
 2006 04 53339.
 2006 05 453386·
 2006 06 973414.
 2006 07 223534.
 2006 08 193373·
 2006 09 693243.
 2006 10 233415.
 2006 11 933427.
 2006 12 843553·
 2007 01  463408.
 2007 02  463367.
 2007 03  753430.
 2007 04  713397.
 2007 05  743327·
 2007 06  963423.
 2007 07  303465·
 2007 08  743458.
 2007 09  793413·
 2007 10  313418.
 2007 11  483450.
 2007 12  113355.
 2008 01 123212.
 2008 02 313170·
 2008 03 403238.
 2008 04 273313.
 2008 05 483310·
 2008 06 53389·
 2008 07 453367.
 2008 08 913255.
 2008 09 873183.
 2008 10 823134.
 2008 11 263070.
 2008 12 973132.
 2009 01  562879·
 2009 02  212963.
 2009 03  692951.
 2009 04  643060·
 2009 05  32942.
 2009 06  23096.
 2009 07  903143.
 2009 08  362992·
 2009 09  52936.
 2009 10  332833·
 2009 11  242895.
 2009 12  832830·
 2010 01 632805.
 2010 02 442920.
 2010 03 352954·
 2010 04 982955.
 2010 05 03008·
 2010 06 932929.
 2010 07 123111·
 2010 08 13051.
 2010 09 692990·
 2010 10 612913·
 2010 11 662921.
 2010 12 362965.
 2011 01  433064·
 2011 02  552967·
 2011 03  363075·
 2011 04  723132.
 2011 05  243154·
 2011 06  73219.
 2011 07  843260·
 2011 08  33265.
 2011 09  373292·
 2011 10  723372·
 2011 11  03348·
 2011 12  483366·
 2012 01 333425·
 2012 02 333432.
 2012 03 943450·
 2012 04 523520.
 2012 05 863596·
 2012 06 973693·
 2012 07 63799.
 2012 08 833561·
 2012 09 973623.
 2012 10 953537.
 2012 11 983567.
 2012 12 363622·
 2013 01  923566.
 2013 02  833487.
 2013 03  583423.
 2013 04  303603.
 2013 05  213635·
 2013 06  433823·
 2013 07  03897.
 2013 08  93804·
 2013 09  593727.
 2013 10  833749·
 2013 11  603746.
 2013 12  423682·
 2014 01 73608·
 2014 02 333616.
 2014 03 13772·
 2014 04 233721.
 2014 05 903774.
 2014 06 503841.
 2014 07 133903.
 2014 08 723890·
 2014 09 583783·
 2014 10 163936·
 2014 11 73877.
 2014 12 323950·
 2015 01  873905·
 2015 02  383959.
 2015 03  213890·
 2015 04  733921·
 2015 05  783910.
 2015 06  474003·
 2015 07  194127.
 2015 08  893961.
 2015 09  553926·
 2015 10  993897·
 2015 11  883907.
 2015 12  993985.
 2016 01 693957·
 2016 02 774038·
 2016 03 414015·
 2016 04 464017.
 2016 05 964144·
 2016 06 874167·
 2016 07 174235.
 2016 08 24162·
 2016 09 354054.
 2016 10 614039·
 2016 11 774009·
 2016 12 583925.
 2017 01  133836·
 2017 02  553988·
 2017 03  104154.
 2017 04  354066·
 2017 05  794188·
 2017 06  514198.
 2017 07  284347·
 2017 08  774254.


 2017 09  94203.
 2017 10  564103·
 2017 11  704028·
 2017 12  523995.
 2018 01 44034·
 2018 02 14073·
 2018 03 994145·
 2018 04 564227·
 2018 05 884259.
 2018 06 434302·
 2018 07 24492.
 2018 08 74294.
 2018 09 134263·
 2018 10 634326.
 2018 11 924299·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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: Employment Level: Hispanic or Latino Ethnicity, 16-24 yrs: 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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