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 Series Title: Employment Level: Multiple Jobholders White: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1994 01 835932·
 1994 02 726182.
 1994 03 116309.
 1994 04 346403.
 1994 05 996455·
 1994 06 676269·
 1994 07 996307·
 1994 08 886289.
 1994 09 76708·
 1994 10 866710.
 1994 11 146590.
 1994 12 676563·
 1995 01  566297.
 1995 02  96752·
 1995 03  676595·
 1995 04  126736·
 1995 05  237032·
 1995 06  456938.
 1995 07  976859.
 1995 08  956668·
 1995 09  76822.
 1995 10  237016.
 1995 11  666709·
 1995 12  96744·
 1996 01 346240.
 1996 02 26883.
 1996 03 636929·
 1996 04 736561.
 1996 05 546894.
 1996 06 636785·
 1996 07 06704.
 1996 08 326597·
 1996 09 426845.
 1996 10 127338·
 1996 11 167449.
 1996 12 547176.
 1997 01  06610·
 1997 02  806924·
 1997 03  726856.
 1997 04  346889.
 1997 05  537139.
 1997 06  267172·
 1997 07  587035·
 1997 08  906554·
 1997 09  506828.
 1997 10  296943·
 1997 11  867020.
 1997 12  676935·
 1998 01 676697·
 1998 02 986879·
 1998 03 936925·
 1998 04 356873.
 1998 05 57019·
 1998 06 636661·
 1998 07 436595.
 1998 08 876386·
 1998 09 906789.
 1998 10 817055·
 1998 11 247101.
 1998 12 427003.
 1999 01  706742.
 1999 02  346890.
 1999 03  486822.
 1999 04  446444·
 1999 05  226783·
 1999 06  286579·
 1999 07  546632.
 1999 08  636184·
 1999 09  476476·
 1999 10  966873.
 1999 11  36821.
 1999 12  936837·
 2000 01 696434·
 2000 02 936614·
 2000 03 856654.
 2000 04 536666·
 2000 05 396737.
 2000 06 16331·
 2000 07 126424·
 2000 08 876060.
 2000 09 336418.
 2000 10 286521·
 2000 11 226321.
 2000 12 646611·
 2001 01  506174.
 2001 02  46519·
 2001 03  786530.
 2001 04  786215.
 2001 05  166429.
 2001 06  876237.
 2001 07  686422.
 2001 08  496081·
 2001 09  826338.
 2001 10  576208.
 2001 11  46164·
 2001 12  216281·
 2002 01 236008.
 2002 02 226325.
 2002 03 256422.
 2002 04 626199·
 2002 05 396240.
 2002 06 136216.
 2002 07 936245.
 2002 08 675920·
 2002 09 566336·
 2002 10 876378·
 2002 11 966250.
 2002 12 556695·
 2003 01  246132·
 2003 02  256495·
 2003 03  486363.
 2003 04  716191·
 2003 05  196226.
 2003 06  356315.
 2003 07  856230·
 2003 08  826171.
 2003 09  406137.
 2003 10  476455·
 2003 11  726321·
 2003 12  856239·
 2004 01 146090.
 2004 02 196172·
 2004 03 956257·
 2004 04 966175·
 2004 05 906108.
 2004 06 326295.
 2004 07 686404·
 2004 08 626357.
 2004 09 446586·
 2004 10 926857.
 2004 11 296411·
 2004 12 506572.
 2005 01  776046·
 2005 02  326400.
 2005 03  406434.
 2005 04  566333·
 2005 05  146273.
 2005 06  86409·
 2005 07  906342.
 2005 08  976019·
 2005 09  56504·
 2005 10  16599.
 2005 11  916317·
 2005 12  196431·
 2006 01 256153.
 2006 02 196120.
 2006 03 816318·
 2006 04 906159·
 2006 05 766338.
 2006 06 936124.
 2006 07 236269.
 2006 08 56038·
 2006 09 826601.
 2006 10 796635·
 2006 11 56533.
 2006 12 836561·
 2007 01  946289·
 2007 02  596488.
 2007 03  416588.
 2007 04  676680.
 2007 05  866575·
 2007 06  406372.
 2007 07  666427·
 2007 08  286104.
 2007 09  616467·
 2007 10  536683·
 2007 11  466569·
 2007 12  596362.
 2008 01 426163.
 2008 02 566411·
 2008 03 676238·
 2008 04 786274.
 2008 05 816424.
 2008 06 296483·
 2008 07 426502.
 2008 08 326453·
 2008 09 536583.
 2008 10 806641.
 2008 11 106425·
 2008 12 886263.
 2009 01  576081.
 2009 02  406544.
 2009 03  336542·
 2009 04  406550.
 2009 05  216107·
 2009 06  655987.
 2009 07  996173·
 2009 08  95734·
 2009 09  936034.
 2009 10  386165·
 2009 11  216175.
 2009 12  375898·
 2010 01 495734·
 2010 02 646111.
 2010 03 376010·
 2010 04 956015·
 2010 05 906205.
 2010 06 775929.
 2010 07 105612.
 2010 08 765590·
 2010 09 425677·
 2010 10 315806·
 2010 11 275821.
 2010 12 995776.
 2011 01  535551·
 2011 02  95735·
 2011 03  25665·
 2011 04  95833·
 2011 05  16042.
 2011 06  185919.
 2011 07  725810·
 2011 08  755695·
 2011 09  855853.
 2011 10  895898.
 2011 11  15876·
 2011 12  905870·
 2012 01 305732.
 2012 02 785850.
 2012 03 765885·
 2012 04 745753.
 2012 05 885925·
 2012 06 695607.
 2012 07 105657·
 2012 08 725532·
 2012 09 335600.
 2012 10 665810.
 2012 11 415934·
 2012 12 525788·
 2013 01  655474.
 2013 02  26025·
 2013 03  325898·
 2013 04  85809·
 2013 05  115929·
 2013 06  335772·
 2013 07  715591.
 2013 08  595545·
 2013 09  215749·
 2013 10  415748.
 2013 11  705754.
 2013 12  515715.
 2014 01 705451·
 2014 02 335803.
 2014 03 685748.
 2014 04 515835.
 2014 05 585875·
 2014 06 405694·
 2014 07 275655·
 2014 08 545548.
 2014 09 105844·
 2014 10 196312.
 2014 11 366128.
 2014 12 795913.
 2015 01  786040·
 2015 02  515918·
 2015 03  75917·
 2015 04  715713.
 2015 05  375631.
 2015 06  445607·
 2015 07  785710.
 2015 08  985651.
 2015 09  865923·
 2015 10  296177.
 2015 11  126118.
 2015 12  546165·
 2016 01 525832·
 2016 02 626038.
 2016 03 976110·
 2016 04 595999.
 2016 05 855979.
 2016 06 255652.
 2016 07 465603·
 2016 08 575656·
 2016 09 596217.
 2016 10 256398·
 2016 11 976393.
 2016 12 176107.
 2017 01  765916.
 2017 02  936337·
 2017 03  126365.
 2017 04  335984·
 2017 05  615991.
 2017 06  865957.


 2017 07  795821.
 2017 08  245580.
 2017 09  656006·
 2017 10  865851·
 2017 11  125982.
 2017 12  346071·
 2018 01 626174.
 2018 02 996412·
 2018 03 486154·
 2018 04 336081·
 2018 05 535889·
 2018 06 585947·
 2018 07 516250.
 2018 08 156026.
 2018 09 636068.
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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: Multiple Jobholders White: 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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