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 Series Title: Employment Level: Pvt W/S Workers, Education and health services Industry, White, Age 16-24: NSA
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 2003 01  121735·
 2003 02  101754.
 2003 03  391718·
 2003 04  651640.
 2003 05  771519·
 2003 06  681521.
 2003 07  291722.
 2003 08  851568.
 2003 09  401664.
 2003 10  551774.
 2003 11  521657·
 2003 12  361654·
 2004 01 511693.
 2004 02 551632.
 2004 03 201647.
 2004 04 601563·
 2004 05 851544·
 2004 06 721499.
 2004 07 701688·
 2004 08 281576.
 2004 09 431571.
 2004 10 391669.
 2004 11 671665.
 2004 12 331663·
 2005 01  501613·
 2005 02  121667·
 2005 03  971597·
 2005 04  951615·
 2005 05  561601·
 2005 06  731609·
 2005 07  741646.
 2005 08  571516.
 2005 09  381621·
 2005 10  281758·
 2005 11  351788.
 2005 12  891721·
 2006 01 951635·
 2006 02 101846·
 2006 03 441726·
 2006 04 841776.
 2006 05 521699.
 2006 06 751598.
 2006 07 871611.
 2006 08 631522.
 2006 09 611587.
 2006 10 41602·
 2006 11 801679·
 2006 12 691677·
 2007 01  961594.
 2007 02  41761·
 2007 03  581849·
 2007 04  721842.
 2007 05  581688·
 2007 06  71621.
 2007 07  851749.
 2007 08  641710·
 2007 09  721709.
 2007 10  691702.
 2007 11  491656·
 2007 12  671694·
 2008 01 891686·
 2008 02 731739·
 2008 03 631781.
 2008 04 231765.
 2008 05 841592·
 2008 06 241652·
 2008 07 641645·
 2008 08 21576.
 2008 09 581771.
 2008 10 541827.
 2008 11 161791·
 2008 12 981736·
 2009 01  351670·
 2009 02  211821·
 2009 03  61813.
 2009 04  301779·
 2009 05  671600·
 2009 06  51579.
 2009 07  481705·
 2009 08  431550.
 2009 09  281666.
 2009 10  131667·
 2009 11  791629·
 2009 12  41735·
 2010 01 191738.
 2010 02 771756.
 2010 03 621731.
 2010 04 101635·
 2010 05 651657·
 2010 06 541712·
 2010 07 841692·
 2010 08 781714·
 2010 09 181611·
 2010 10 251775.
 2010 11 601866.
 2010 12 531830·
 2011 01  511804.
 2011 02  961811.
 2011 03  271848·
 2011 04  51800·
 2011 05  661592·
 2011 06  01543·
 2011 07  471520.
 2011 08  261607.
 2011 09  891733·
 2011 10  941882·
 2011 11  81925.
 2011 12  361925.
 2012 01 681904.
 2012 02 571947·
 2012 03 241828.
 2012 04 801764.
 2012 05 801693·
 2012 06 991696.
 2012 07 331658·
 2012 08 271603·
 2012 09 251714.
 2012 10 491813·
 2012 11 961878·
 2012 12 701822.
 2013 01  291705.
 2013 02  651771.
 2013 03  31708.
 2013 04  291729.
 2013 05  421611.
 2013 06  281686·
 2013 07  661705.
 2013 08  481520.
 2013 09  391614.
 2013 10  461650.
 2013 11  221722.
 2013 12  971743.
 2014 01 211685.
 2014 02 481698.
 2014 03 361694.
 2014 04 681729.
 2014 05 131627.
 2014 06 931581.
 2014 07 941611·
 2014 08 821519·
 2014 09 651619.
 2014 10 621700·
 2014 11 91788.
 2014 12 831738.
 2015 01  531707.
 2015 02  621886.
 2015 03  201825·
 2015 04  391753.
 2015 05  781740.
 2015 06  231686·
 2015 07  891664·
 2015 08  451744.
 2015 09  641756·
 2015 10  41860·
 2015 11  51822.
 2015 12  201816·
 2016 01 621849.
 2016 02 841785·
 2016 03 801905.
 2016 04 81876.
 2016 05 481849.
 2016 06 721825·
 2016 07 511951·
 2016 08 781810·
 2016 09 211885.
 2016 10 991973.
 2016 11 831961·
 2016 12 251891.
 2017 01  81797·
 2017 02  201823.
 2017 03  621756·
 2017 04  671789·
 2017 05  581762.
 2017 06  191804·
 2017 07  21848·
 2017 08  491867.
 2017 09  472008·


 2017 10  21965·
 2017 11  412033.
 2017 12  401793.
 2018 01 761784.
 2018 02 991920.
 2018 03 411848.
 2018 04 341859.
 2018 05 691825·
 2018 06 691690·
 2018 07 901778.
 2018 08 501733.
 2018 09 781797.
 2018 10 921845·
 2018 11 21845.
 2018 12 321839.
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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: Pvt W/S Workers, Education and health services Industry, 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

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