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 Series Title: Population 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  446039·
 2003 02  46045.
 2003 03  966050.
 2003 04  846055·
 2003 05  596063.
 2003 06  126071.
 2003 07  366079.
 2003 08  556086·
 2003 09  726094·
 2003 10  506103.
 2003 11  96110.
 2003 12  556117.
 2004 01 336232.
 2004 02 996240·
 2004 03 276248·
 2004 04 306255.
 2004 05 176262.
 2004 06 666268·
 2004 07 276275.
 2004 08 486283·
 2004 09 256292·
 2004 10 836301.
 2004 11 746308.
 2004 12 36315·
 2005 01  826303.
 2005 02  66307.
 2005 03  546311.
 2005 04  146314.
 2005 05  386321.
 2005 06  176328.
 2005 07  816335.
 2005 08  266345.
 2005 09  706354.
 2005 10  236364.
 2005 11  926374·
 2005 12  86383.
 2006 01 776341.
 2006 02 546351·
 2006 03 516362·
 2006 04 546372·
 2006 05 846383·
 2006 06 696394·
 2006 07 456406·
 2006 08 836416·
 2006 09 436426.
 2006 10 486436.
 2006 11 876447·
 2006 12 396457·
 2007 01  286531·
 2007 02  986540.
 2007 03  156550.
 2007 04  916560·
 2007 05  406572·
 2007 06  516584.
 2007 07  926597.
 2007 08  346609·
 2007 09  46621.
 2007 10  646633·
 2007 11  66646.
 2007 12  866659·
 2008 01 716577.
 2008 02 176592·
 2008 03 706607.
 2008 04 926622.
 2008 05 166637·
 2008 06 186653.
 2008 07 216669.
 2008 08 216685·
 2008 09 406701·
 2008 10 996717·
 2008 11 236734·
 2008 12 676751·
 2009 01  676663·
 2009 02  156678.
 2009 03  636692·
 2009 04  506707.
 2009 05  496722.
 2009 06  496737·
 2009 07  556752·
 2009 08  126768.
 2009 09  606785·
 2009 10  76801.
 2009 11  366817.
 2009 12  246833.
 2010 01 17047·
 2010 02 227061.
 2010 03 697073.
 2010 04 807087.
 2010 05 977100·
 2010 06 487114.
 2010 07 417128.
 2010 08 987143.
 2010 09 07159.
 2010 10 697173.
 2010 11 677188.
 2010 12 237203·
 2011 01  837514.
 2011 02  917530·
 2011 03  847544.
 2011 04  247559.
 2011 05  497575·
 2011 06  457590·
 2011 07  547605.
 2011 08  957622·
 2011 09  217639.
 2011 10  887656.
 2011 11  657671·
 2011 12  567686.
 2012 01 508086·
 2012 02 28100·
 2012 03 318113.
 2012 04 508127.
 2012 05 128139.
 2012 06 938151·
 2012 07 908164.
 2012 08 468177.
 2012 09 78190.
 2012 10 948202.
 2012 11 38216·
 2012 12 408228·
 2013 01  618170.
 2013 02  608179·
 2013 03  608188·
 2013 04  498198·
 2013 05  248208·
 2013 06  738218·
 2013 07  738229.
 2013 08  188237.
 2013 09  718246·
 2013 10  408254·
 2013 11  798266·
 2013 12  168277·
 2014 01 38252·
 2014 02 938264.
 2014 03 438274.
 2014 04 388286.
 2014 05 458294.
 2014 06 888303.
 2014 07 518313.
 2014 08 28319.
 2014 09 478327·
 2014 10 78334·
 2014 11 168341·
 2014 12 528348.
 2015 01  858369.
 2015 02  568375·
 2015 03  778380.
 2015 04  588386.
 2015 05  608392.
 2015 06  688399.
 2015 07  968406·
 2015 08  148412.
 2015 09  968418.
 2015 10  988424·
 2015 11  628431·
 2015 12  398438·
 2016 01 448435·
 2016 02 298447·
 2016 03 878457.
 2016 04 778469.
 2016 05 808478.
 2016 06 678488.
 2016 07 88497·
 2016 08 988504.
 2016 09 38511.
 2016 10 438517.
 2016 11 908526·
 2016 12 958534·
 2017 01  408492·
 2017 02  158499.
 2017 03  198505.
 2017 04  878512.
 2017 05  408520.
 2017 06  648527·
 2017 07  98535·
 2017 08  198541.
 2017 09  798547.
 2017 10  968553.


 2017 11  988560·
 2017 12  608566·
 2018 01 588628.
 2018 02 448638.
 2018 03 488648.
 2018 04 38659.
 2018 05 18668·
 2018 06 638677.
 2018 07 478687·
 2018 08 698697.
 2018 09 608707·
 2018 10 378717·
 2018 11 98727.
 2018 12 18735.
 2019 01  98695·
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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: Population 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

Want to know how State economies fared during the Clinton Administration? Use the Reporter.

Sites of Interest: Conerly Consulting: Economics for Business Decisions *

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