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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  261735.
 2003 02  111754·
 2003 03  631718.
 2003 04  601640·
 2003 05  41519·
 2003 06  971521·
 2003 07  481722·
 2003 08  901568·
 2003 09  421664·
 2003 10  761774·
 2003 11  271657.
 2003 12  131654·
 2004 01 901693.
 2004 02 281632·
 2004 03 131647·
 2004 04 721563·
 2004 05 241544·
 2004 06 611499·
 2004 07 451688.
 2004 08 371576.
 2004 09 451571·
 2004 10 71669.
 2004 11 861665·
 2004 12 11663·
 2005 01  771613.
 2005 02  201667·
 2005 03  221597.
 2005 04  851615·
 2005 05  711601.
 2005 06  851609·
 2005 07  681646·
 2005 08  311516·
 2005 09  31621.
 2005 10  61758.
 2005 11  611788·
 2005 12  101721·
 2006 01 721635.
 2006 02 161846.
 2006 03 641726·
 2006 04 161776.
 2006 05 51699·
 2006 06 721598.
 2006 07 641611·
 2006 08 671522·
 2006 09 511587.
 2006 10 541602.
 2006 11 751679·
 2006 12 71677.
 2007 01  871594·
 2007 02  701761·
 2007 03  351849.
 2007 04  71842·
 2007 05  121688.
 2007 06  511621.
 2007 07  61749·
 2007 08  591710.
 2007 09  511709.
 2007 10  551702.
 2007 11  761656·
 2007 12  831694·
 2008 01 561686·
 2008 02 611739.
 2008 03 591781·
 2008 04 241765.
 2008 05 11592.
 2008 06 781652·
 2008 07 921645·
 2008 08 501576·
 2008 09 871771·
 2008 10 371827.
 2008 11 381791.
 2008 12 561736.
 2009 01  401670·
 2009 02  941821·
 2009 03  841813.
 2009 04  601779·
 2009 05  91600.
 2009 06  321579·
 2009 07  451705.
 2009 08  71550.
 2009 09  701666·
 2009 10  561667·
 2009 11  571629·
 2009 12  661735·
 2010 01 241738.
 2010 02 981756.
 2010 03 841731.
 2010 04 311635.
 2010 05 961657·
 2010 06 161712·
 2010 07 131692·
 2010 08 221714.
 2010 09 361611·
 2010 10 901775·
 2010 11 581866.
 2010 12 811830·
 2011 01  191804.
 2011 02  271811.
 2011 03  561848.
 2011 04  791800·
 2011 05  471592.
 2011 06  601543.
 2011 07  701520.
 2011 08  101607.
 2011 09  451733·
 2011 10  441882.
 2011 11  881925.
 2011 12  931925.
 2012 01 621904·
 2012 02 611947·
 2012 03 231828.
 2012 04 711764·
 2012 05 741693·
 2012 06 181696.
 2012 07 131658.
 2012 08 151603.
 2012 09 821714.
 2012 10 471813.
 2012 11 201878.
 2012 12 181822.
 2013 01  111705.
 2013 02  41771.
 2013 03  331708.
 2013 04  991729.
 2013 05  121611.
 2013 06  701686.
 2013 07  651705·
 2013 08  31520.
 2013 09  591614.
 2013 10  531650.
 2013 11  531722·
 2013 12  981743.
 2014 01 531685.
 2014 02 841698·
 2014 03 601694.
 2014 04 791729·
 2014 05 201627·
 2014 06 201581.
 2014 07 751611.
 2014 08 651519.
 2014 09 101619.
 2014 10 421700·
 2014 11 91788.
 2014 12 01738·
 2015 01  991707·
 2015 02  581886.
 2015 03  21825.
 2015 04  541753·
 2015 05  861740.
 2015 06  971686·
 2015 07  151664.
 2015 08  191744·
 2015 09  971756.
 2015 10  191860·
 2015 11  371822·
 2015 12  161816·
 2016 01 831849·
 2016 02 31785.
 2016 03 801905·
 2016 04 891876.
 2016 05 191849·
 2016 06 561825·
 2016 07 841951.
 2016 08 61810.
 2016 09 51885·
 2016 10 111973.
 2016 11 91961.
 2016 12 631891·
 2017 01  671797.
 2017 02  241823.
 2017 03  451756·
 2017 04  771789·


 2017 05  551762.
 2017 06  761804·
 2017 07  41848.
 2017 08  941867·
 2017 09  442008·
 2017 10  741965·
 2017 11  242033.
 2017 12  811793.
 2018 01 351784·
 2018 02 501920.
 2018 03 681848.
 2018 04 351859.
 2018 05 541825.
 2018 06 611690.
 2018 07 231778.
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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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