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 Series Title: Employment Level: State, White, Age 16-24: 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  8424·
 2003 02  91427.
 2003 03  55403·
 2003 04  35455.
 2003 05  88375.
 2003 06  75326.
 2003 07  58306.
 2003 08  29323.
 2003 09  60377.
 2003 10  83416·
 2003 11  86390·
 2003 12  46395·
 2004 01 73333.
 2004 02 96370·
 2004 03 53423.
 2004 04 31420.
 2004 05 4369·
 2004 06 20357.
 2004 07 97329·
 2004 08 53366.
 2004 09 52389.
 2004 10 88494·
 2004 11 81460.
 2004 12 6429.
 2005 01  43368.
 2005 02  56357·
 2005 03  92382.
 2005 04  9382.
 2005 05  27388·
 2005 06  5330·
 2005 07  43342·
 2005 08  6317·
 2005 09  80375.
 2005 10  43437.
 2005 11  73389.
 2005 12  67386·
 2006 01 2400·
 2006 02 1432·
 2006 03 43476.
 2006 04 86495·
 2006 05 18422·
 2006 06 35352·
 2006 07 43354·
 2006 08 82354·
 2006 09 79350.
 2006 10 28362.
 2006 11 85378.
 2006 12 98425·
 2007 01  61413.
 2007 02  86484.
 2007 03  6477·
 2007 04  5477.
 2007 05  63417·
 2007 06  40387.
 2007 07  70378.
 2007 08  95338.
 2007 09  11403·
 2007 10  47434·
 2007 11  65452.
 2007 12  90485.
 2008 01 56398.
 2008 02 89360·
 2008 03 3367·
 2008 04 31368·
 2008 05 72347.
 2008 06 72403.
 2008 07 23385.
 2008 08 89395·
 2008 09 61407.
 2008 10 29466.
 2008 11 87472·
 2008 12 58482.
 2009 01  47515·
 2009 02  15511.
 2009 03  83571.
 2009 04  57572.
 2009 05  81491·
 2009 06  13456.
 2009 07  24419·
 2009 08  30388·
 2009 09  39381.
 2009 10  28444·
 2009 11  48446·
 2009 12  46437·
 2010 01 20417·
 2010 02 93456·
 2010 03 18469·
 2010 04 0470.
 2010 05 51380.
 2010 06 65330·
 2010 07 22373·
 2010 08 10366.
 2010 09 81451·
 2010 10 24359.
 2010 11 72394.
 2010 12 20400·
 2011 01  85339·
 2011 02  78415.
 2011 03  7409·
 2011 04  1456.
 2011 05  66394·
 2011 06  59375.
 2011 07  89348·
 2011 08  45347·
 2011 09  47367.
 2011 10  22364.
 2011 11  6373·
 2011 12  72328·
 2012 01 79331.
 2012 02 49351·
 2012 03 72362·
 2012 04 27387·
 2012 05 37345.
 2012 06 48270·
 2012 07 23270·
 2012 08 77295·
 2012 09 23317.
 2012 10 49346.
 2012 11 24416·
 2012 12 18461.
 2013 01  60413·
 2013 02  10433·
 2013 03  61472.
 2013 04  69435·
 2013 05  1320.
 2013 06  12356.
 2013 07  49371·
 2013 08  74406.
 2013 09  19461.
 2013 10  61469·
 2013 11  23419.
 2013 12  1413.
 2014 01 16413·
 2014 02 90421·
 2014 03 49471.
 2014 04 46498.
 2014 05 17388·
 2014 06 55394·
 2014 07 12447.
 2014 08 26416.
 2014 09 72436·
 2014 10 38450·
 2014 11 27450·
 2014 12 87397·
 2015 01  57414.
 2015 02  44441.
 2015 03  32434.
 2015 04  98459·
 2015 05  71430.
 2015 06  7426.
 2015 07  88414.
 2015 08  52418.
 2015 09  41516·
 2015 10  82559·
 2015 11  84595.
 2015 12  68539.
 2016 01 17441·
 2016 02 51475·
 2016 03 33464.
 2016 04 92482.
 2016 05 74440.
 2016 06 21368·
 2016 07 73366.
 2016 08 92406.
 2016 09 12436·
 2016 10 24448·
 2016 11 67515.
 2016 12 61496.
 2017 01  58495.
 2017 02  16509.
 2017 03  2495.
 2017 04  20496.
 2017 05  61404·
 2017 06  78419.
 2017 07  92392.
 2017 08  13354.
 2017 09  96447.


 2017 10  18487.
 2017 11  73508.
 2017 12  8485·
 2018 01 65555·
 2018 02 67596.
 2018 03 10532.
 2018 04 99508·
 2018 05 92378·
 2018 06 81358.
 2018 07 90375.
 2018 08 7373·
 2018 09 29402.
 2018 10 43446·
 2018 11 27446·
 2018 12 74471·
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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: State, White, Age 16-24: 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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