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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  61735·
 2003 02  91754·
 2003 03  271718.
 2003 04  171640·
 2003 05  641519.
 2003 06  531521·
 2003 07  701722.
 2003 08  331568·
 2003 09  401664.
 2003 10  451774.
 2003 11  641657·
 2003 12  971654·
 2004 01 811693.
 2004 02 681632·
 2004 03 231647·
 2004 04 551563.
 2004 05 651544.
 2004 06 271499.
 2004 07 831688·
 2004 08 741576.
 2004 09 921571·
 2004 10 551669.
 2004 11 71665.
 2004 12 491663.
 2005 01  861613.
 2005 02  71667·
 2005 03  841597.
 2005 04  991615.
 2005 05  991601.
 2005 06  671609.
 2005 07  261646·
 2005 08  691516.
 2005 09  51621.
 2005 10  391758.
 2005 11  721788.
 2005 12  281721·
 2006 01 61635·
 2006 02 571846·
 2006 03 841726.
 2006 04 691776.
 2006 05 261699.
 2006 06 761598.
 2006 07 491611·
 2006 08 111522.
 2006 09 161587·
 2006 10 781602·
 2006 11 821679·
 2006 12 01677.
 2007 01  511594·
 2007 02  711761.
 2007 03  191849·
 2007 04  41842·
 2007 05  311688·
 2007 06  851621·
 2007 07  251749.
 2007 08  171710.
 2007 09  831709·
 2007 10  761702.
 2007 11  851656.
 2007 12  581694.
 2008 01 561686.
 2008 02 281739·
 2008 03 151781.
 2008 04 721765.
 2008 05 261592.
 2008 06 461652·
 2008 07 501645·
 2008 08 281576.
 2008 09 931771·
 2008 10 631827.
 2008 11 551791·
 2008 12 191736·
 2009 01  831670·
 2009 02  341821·
 2009 03  171813·
 2009 04  651779.
 2009 05  461600·
 2009 06  411579·
 2009 07  491705·
 2009 08  101550.
 2009 09  571666·
 2009 10  911667.
 2009 11  901629·
 2009 12  241735.
 2010 01 161738·
 2010 02 161756·
 2010 03 01731·
 2010 04 991635·
 2010 05 501657.
 2010 06 731712·
 2010 07 701692·
 2010 08 571714.
 2010 09 91611.
 2010 10 421775·
 2010 11 111866·
 2010 12 391830.
 2011 01  671804·
 2011 02  311811.
 2011 03  621848·
 2011 04  171800.
 2011 05  261592.
 2011 06  711543·
 2011 07  851520·
 2011 08  841607.
 2011 09  111733·
 2011 10  181882·
 2011 11  691925·
 2011 12  581925·
 2012 01 711904·
 2012 02 561947·
 2012 03 251828·
 2012 04 851764.
 2012 05 831693.
 2012 06 891696·
 2012 07 931658·
 2012 08 331603·
 2012 09 471714.
 2012 10 501813·
 2012 11 341878·
 2012 12 961822·
 2013 01  881705·
 2013 02  961771.
 2013 03  381708·
 2013 04  941729.
 2013 05  571611.
 2013 06  81686·
 2013 07  161705·
 2013 08  711520·
 2013 09  291614·
 2013 10  921650·
 2013 11  71722·
 2013 12  961743·
 2014 01 51685.
 2014 02 801698·
 2014 03 731694·
 2014 04 631729·
 2014 05 91627.
 2014 06 301581·
 2014 07 31611·
 2014 08 911519·
 2014 09 921619.
 2014 10 221700.
 2014 11 91788·
 2014 12 241738·
 2015 01  311707·
 2015 02  641886.
 2015 03  291825.
 2015 04  311753.
 2015 05  241740.
 2015 06  861686.
 2015 07  271664·
 2015 08  81744·
 2015 09  971756.
 2015 10  461860.
 2015 11  891822·
 2015 12  721816·
 2016 01 11849·
 2016 02 251785·
 2016 03 291905.
 2016 04 671876.
 2016 05 121849·
 2016 06 301825.
 2016 07 851951.
 2016 08 641810·
 2016 09 291885·
 2016 10 921973.
 2016 11 201961·
 2016 12 561891·
 2017 01  781797·
 2017 02  691823·
 2017 03  211756.
 2017 04  621789.
 2017 05  91762.
 2017 06  411804·


 2017 07  11848·
 2017 08  271867·
 2017 09  992008.
 2017 10  151965·
 2017 11  992033·
 2017 12  191793·
 2018 01 461784·
 2018 02 241920.
 2018 03 771848·
 2018 04 331859·
 2018 05 771825.
 2018 06 231690·
 2018 07 231778·
 2018 08 881733·
 2018 09 411797.
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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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