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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  993137·
 2003 02  503157.
 2003 03  783190·
 2003 04  373197.
 2003 05  33168.
 2003 06  563203.
 2003 07  763244.
 2003 08  743174.
 2003 09  433097.
 2003 10  303151·
 2003 11  443144·
 2003 12  793139.
 2004 01 673108·
 2004 02 523062.
 2004 03 943149·
 2004 04 963235.
 2004 05 533263.
 2004 06 303377·
 2004 07 653428.
 2004 08 933428.
 2004 09 993270·
 2004 10 953374·
 2004 11 193315.
 2004 12 653220.
 2005 01  333076.
 2005 02  43113·
 2005 03  443184.
 2005 04  313226.
 2005 05  33276·
 2005 06  383412·
 2005 07  543428·
 2005 08  353306.
 2005 09  863273·
 2005 10  43281.
 2005 11  853350·
 2005 12  473325·
 2006 01 823324·
 2006 02 343282.
 2006 03 13358.
 2006 04 593339.
 2006 05 163386.
 2006 06 853414·
 2006 07 903534·
 2006 08 933373.
 2006 09 383243.
 2006 10 373415.
 2006 11 653427·
 2006 12 913553·
 2007 01  253408·
 2007 02  983367·
 2007 03  643430.
 2007 04  233397.
 2007 05  753327.
 2007 06  993423.
 2007 07  483465.
 2007 08  823458.
 2007 09  163413.
 2007 10  973418.
 2007 11  73450.
 2007 12  893355·
 2008 01 973212.
 2008 02 743170.
 2008 03 543238·
 2008 04 873313.
 2008 05 933310.
 2008 06 363389·
 2008 07 253367·
 2008 08 463255.
 2008 09 63183.
 2008 10 143134·
 2008 11 853070·
 2008 12 593132·
 2009 01  592879.
 2009 02  672963·
 2009 03  202951·
 2009 04  453060.
 2009 05  52942.
 2009 06  743096.
 2009 07  443143·
 2009 08  502992.
 2009 09  172936.
 2009 10  432833.
 2009 11  952895·
 2009 12  412830·
 2010 01 972805.
 2010 02 52920·
 2010 03 362954·
 2010 04 142955.
 2010 05 703008·
 2010 06 182929.
 2010 07 543111.
 2010 08 873051·
 2010 09 862990.
 2010 10 622913.
 2010 11 622921.
 2010 12 42965·
 2011 01  213064·
 2011 02  442967.
 2011 03  993075.
 2011 04  343132·
 2011 05  753154·
 2011 06  973219.
 2011 07  263260.
 2011 08  733265.
 2011 09  743292.
 2011 10  753372.
 2011 11  333348.
 2011 12  383366.
 2012 01 673425·
 2012 02 633432·
 2012 03 323450·
 2012 04 743520·
 2012 05 313596·
 2012 06 653693.
 2012 07 603799.
 2012 08 503561·
 2012 09 653623.
 2012 10 133537.
 2012 11 823567.
 2012 12 603622·
 2013 01  953566·
 2013 02  653487.
 2013 03  833423.
 2013 04  243603·
 2013 05  723635·
 2013 06  23823·
 2013 07  793897.
 2013 08  853804.
 2013 09  703727·
 2013 10  303749·
 2013 11  53746.
 2013 12  123682.
 2014 01 913608·
 2014 02 813616.
 2014 03 263772·
 2014 04 13721.
 2014 05 593774.
 2014 06 113841.
 2014 07 293903·
 2014 08 693890·
 2014 09 253783.
 2014 10 33936.
 2014 11 283877·
 2014 12 623950·
 2015 01  653905·
 2015 02  643959·
 2015 03  593890.
 2015 04  483921·
 2015 05  783910.
 2015 06  234003.
 2015 07  864127·
 2015 08  213961·
 2015 09  903926.
 2015 10  393897·
 2015 11  963907·
 2015 12  03985·
 2016 01 523957.
 2016 02 934038·
 2016 03 34015·
 2016 04 304017.
 2016 05 394144.
 2016 06 924167.
 2016 07 454235.
 2016 08 804162·
 2016 09 524054·
 2016 10 674039·
 2016 11 844009·
 2016 12 443925·
 2017 01  153836·
 2017 02  743988·
 2017 03  94154.
 2017 04  414066·
 2017 05  794188·
 2017 06  964198·
 2017 07  314347·
 2017 08  154254·
 2017 09  194203.
 2017 10  394103·


 2017 11  904028.
 2017 12  353995.
 2018 01 374034·
 2018 02 354073.
 2018 03 484145.
 2018 04 964227·
 2018 05 574259·
 2018 06 414302·
 2018 07 924492·
 2018 08 164294.
 2018 09 294263.
 2018 10 374326.
 2018 11 364299·
 2018 12 404339.
 2019 01  294136.
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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

Make charts for Okun's Law and Phillip's Curve

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