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 Series Title: Employment Level: State, 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  32575·
 2003 02  14553.
 2003 03  39544·
 2003 04  6600·
 2003 05  35509.
 2003 06  49481.
 2003 07  71412·
 2003 08  57401.
 2003 09  42468·
 2003 10  20515·
 2003 11  41548·
 2003 12  44565.
 2004 01 4470.
 2004 02 8504.
 2004 03 62549·
 2004 04 11571.
 2004 05 95459.
 2004 06 21471.
 2004 07 73445·
 2004 08 28461·
 2004 09 15516.
 2004 10 90615.
 2004 11 35612·
 2004 12 88556.
 2005 01  92505·
 2005 02  72478.
 2005 03  38495.
 2005 04  11522·
 2005 05  74532.
 2005 06  47449·
 2005 07  93470.
 2005 08  41440·
 2005 09  37499·
 2005 10  24540·
 2005 11  39486·
 2005 12  47493.
 2006 01 82528·
 2006 02 32586.
 2006 03 39614·
 2006 04 23618·
 2006 05 33524·
 2006 06 30465.
 2006 07 81462·
 2006 08 88471.
 2006 09 43535.
 2006 10 99536.
 2006 11 76542.
 2006 12 87549·
 2007 01  84566.
 2007 02  45613·
 2007 03  64604·
 2007 04  88619.
 2007 05  59508.
 2007 06  0478·
 2007 07  8505.
 2007 08  86469·
 2007 09  93545.
 2007 10  21560.
 2007 11  94607.
 2007 12  0572·
 2008 01 35474.
 2008 02 89451.
 2008 03 36477.
 2008 04 73485.
 2008 05 62462·
 2008 06 10500.
 2008 07 73505·
 2008 08 76524·
 2008 09 74552·
 2008 10 18630.
 2008 11 66615·
 2008 12 3618.
 2009 01  95648.
 2009 02  68582.
 2009 03  3672·
 2009 04  71693.
 2009 05  77589.
 2009 06  41554·
 2009 07  99516·
 2009 08  26487.
 2009 09  95487.
 2009 10  45541.
 2009 11  89556.
 2009 12  37539.
 2010 01 49535.
 2010 02 11580·
 2010 03 38610.
 2010 04 98624.
 2010 05 65503·
 2010 06 96440.
 2010 07 33443.
 2010 08 28436·
 2010 09 93540.
 2010 10 82469·
 2010 11 88515.
 2010 12 70496.
 2011 01  8441.
 2011 02  74534·
 2011 03  39568.
 2011 04  95576.
 2011 05  11509.
 2011 06  6482.
 2011 07  50452.
 2011 08  97431.
 2011 09  28466.
 2011 10  32466·
 2011 11  9471.
 2011 12  94439.
 2012 01 7464.
 2012 02 36494·
 2012 03 29499·
 2012 04 31519.
 2012 05 26463.
 2012 06 23387·
 2012 07 47370·
 2012 08 76390·
 2012 09 85415·
 2012 10 25452.
 2012 11 27525.
 2012 12 24582.
 2013 01  8560.
 2013 02  99601·
 2013 03  56659.
 2013 04  95602·
 2013 05  46451.
 2013 06  27471.
 2013 07  47473·
 2013 08  32503.
 2013 09  75577·
 2013 10  15591.
 2013 11  39571·
 2013 12  4539·
 2014 01 95526·
 2014 02 95580.
 2014 03 93645.
 2014 04 6667·
 2014 05 31559·
 2014 06 23533·
 2014 07 98535·
 2014 08 56523·
 2014 09 33523·
 2014 10 82582·
 2014 11 68601.
 2014 12 99508·
 2015 01  78522.
 2015 02  77626.
 2015 03  38654·
 2015 04  4660·
 2015 05  66596·
 2015 06  41593.
 2015 07  74541.
 2015 08  65556.
 2015 09  21634.
 2015 10  29687·
 2015 11  62734·
 2015 12  2685·
 2016 01 95626·
 2016 02 24687.
 2016 03 15608·
 2016 04 58637·
 2016 05 62573.
 2016 06 33491.
 2016 07 71510.
 2016 08 2529.
 2016 09 24557·
 2016 10 87575.
 2016 11 94697.
 2016 12 29623.
 2017 01  4647.
 2017 02  42686.
 2017 03  71634·
 2017 04  58635.
 2017 05  55551·
 2017 06  80543.
 2017 07  14541·


 2017 08  32464·
 2017 09  51599.
 2017 10  8606.
 2017 11  63653·
 2017 12  22594.
 2018 01 93659.
 2018 02 58705.
 2018 03 79620·
 2018 04 21636·
 2018 05 5475·
 2018 06 86424·
 2018 07 51465·
 2018 08 48479.
 2018 09 39523.
 2018 10 74584·
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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, 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

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