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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 535932.
 1994 02 326182·
 1994 03 406309·
 1994 04 876403·
 1994 05 76455.
 1994 06 336269.
 1994 07 36307·
 1994 08 856289·
 1994 09 266708·
 1994 10 326710·
 1994 11 676590.
 1994 12 826563·
 1995 01  636297·
 1995 02  126752·
 1995 03  456595·
 1995 04  216736.
 1995 05  917032.
 1995 06  786938.
 1995 07  746859.
 1995 08  726668.
 1995 09  126822·
 1995 10  637016.
 1995 11  186709·
 1995 12  296744.
 1996 01 516240.
 1996 02 226883.
 1996 03 656929.
 1996 04 126561.
 1996 05 596894·
 1996 06 396785·
 1996 07 276704.
 1996 08 646597.
 1996 09 106845.
 1996 10 187338.
 1996 11 427449·
 1996 12 547176·
 1997 01  46610.
 1997 02  936924.
 1997 03  736856.
 1997 04  776889·
 1997 05  697139·
 1997 06  197172·
 1997 07  87035.
 1997 08  526554·
 1997 09  536828·
 1997 10  796943.
 1997 11  617020·
 1997 12  236935·
 1998 01 336697.
 1998 02 786879·
 1998 03 686925·
 1998 04 596873·
 1998 05 87019·
 1998 06 496661·
 1998 07 926595·
 1998 08 546386.
 1998 09 46789·
 1998 10 487055.
 1998 11 237101·
 1998 12 277003.
 1999 01  726742·
 1999 02  576890.
 1999 03  716822.
 1999 04  236444·
 1999 05  866783.
 1999 06  826579.
 1999 07  776632.
 1999 08  106184·
 1999 09  486476.
 1999 10  556873.
 1999 11  16821·
 1999 12  846837.
 2000 01 826434·
 2000 02 336614·
 2000 03 336654·
 2000 04 626666·
 2000 05 396737.
 2000 06 986331.
 2000 07 846424.
 2000 08 896060.
 2000 09 956418.
 2000 10 556521·
 2000 11 946321.
 2000 12 356611·
 2001 01  496174·
 2001 02  376519·
 2001 03  246530·
 2001 04  926215.
 2001 05  286429·
 2001 06  06237·
 2001 07  646422.
 2001 08  826081·
 2001 09  816338.
 2001 10  276208.
 2001 11  246164·
 2001 12  466281·
 2002 01 846008·
 2002 02 226325.
 2002 03 456422·
 2002 04 566199·
 2002 05 376240.
 2002 06 196216·
 2002 07 876245.
 2002 08 55920·
 2002 09 666336.
 2002 10 746378·
 2002 11 406250.
 2002 12 116695.
 2003 01  216132.
 2003 02  696495.
 2003 03  166363.
 2003 04  206191·
 2003 05  786226·
 2003 06  96315·
 2003 07  546230.
 2003 08  06171.
 2003 09  366137.
 2003 10  276455.
 2003 11  156321·
 2003 12  456239·
 2004 01 226090.
 2004 02 806172·
 2004 03 886257.
 2004 04 766175·
 2004 05 866108.
 2004 06 486295·
 2004 07 856404·
 2004 08 346357.
 2004 09 26586·
 2004 10 406857.
 2004 11 466411·
 2004 12 916572.
 2005 01  726046.
 2005 02  866400.
 2005 03  326434.
 2005 04  406333·
 2005 05  216273.
 2005 06  426409·
 2005 07  316342·
 2005 08  06019.
 2005 09  996504·
 2005 10  916599.
 2005 11  576317.
 2005 12  156431·
 2006 01 816153·
 2006 02 406120·
 2006 03 466318.
 2006 04 556159·
 2006 05 696338·
 2006 06 196124·
 2006 07 636269·
 2006 08 136038·
 2006 09 876601·
 2006 10 866635.
 2006 11 956533·
 2006 12 96561·
 2007 01  866289.
 2007 02  226488.
 2007 03  556588·
 2007 04  876680.
 2007 05  416575.
 2007 06  346372.
 2007 07  806427·
 2007 08  166104.
 2007 09  536467·
 2007 10  546683·
 2007 11  346569.
 2007 12  906362·
 2008 01 466163·
 2008 02 376411.
 2008 03 56238.
 2008 04 286274.
 2008 05 726424.
 2008 06 666483·
 2008 07 56502.
 2008 08 756453·
 2008 09 66583.
 2008 10 486641·
 2008 11 726425·
 2008 12 996263·
 2009 01  486081·
 2009 02  136544·
 2009 03  706542.
 2009 04  956550·
 2009 05  236107·
 2009 06  205987.
 2009 07  866173.
 2009 08  825734·
 2009 09  826034.
 2009 10  486165.
 2009 11  326175·
 2009 12  45898.
 2010 01 15734.
 2010 02 66111·
 2010 03 486010.
 2010 04 306015.
 2010 05 796205.
 2010 06 245929·
 2010 07 955612.
 2010 08 545590.
 2010 09 425677·
 2010 10 595806.
 2010 11 625821.
 2010 12 965776.
 2011 01  415551.
 2011 02  935735.
 2011 03  625665·
 2011 04  995833.
 2011 05  516042·
 2011 06  335919.
 2011 07  315810.
 2011 08  335695.
 2011 09  725853.
 2011 10  95898.
 2011 11  355876·
 2011 12  925870.
 2012 01 295732.
 2012 02 805850·
 2012 03 595885·
 2012 04 945753.
 2012 05 745925·
 2012 06 265607·
 2012 07 185657·
 2012 08 855532·
 2012 09 815600.
 2012 10 545810·
 2012 11 495934.
 2012 12 335788·
 2013 01  515474·
 2013 02  966025.
 2013 03  145898·
 2013 04  335809.
 2013 05  95929·
 2013 06  85772·
 2013 07  25591.
 2013 08  35545·
 2013 09  65749·
 2013 10  725748.
 2013 11  265754·
 2013 12  885715·
 2014 01 165451·
 2014 02 945803.
 2014 03 245748.
 2014 04 565835·
 2014 05 425875.
 2014 06 75694·
 2014 07 585655.
 2014 08 35548·
 2014 09 65844.
 2014 10 676312·
 2014 11 166128·
 2014 12 465913.
 2015 01  616040.
 2015 02  555918.
 2015 03  125917·
 2015 04  315713·
 2015 05  825631·
 2015 06  795607.
 2015 07  825710.
 2015 08  265651·
 2015 09  695923·
 2015 10  696177·
 2015 11  916118·
 2015 12  266165.
 2016 01 465832.
 2016 02 836038.
 2016 03 266110·
 2016 04 495999.
 2016 05 665979·
 2016 06 25652·
 2016 07 995603.
 2016 08 415656·
 2016 09 36217.
 2016 10 336398.
 2016 11 496393.
 2016 12 696107.
 2017 01  575916·
 2017 02  76337·
 2017 03  396365.
 2017 04  285984·
 2017 05  545991·
 2017 06  815957·
 2017 07  565821.
 2017 08  375580·
 2017 09  456006·


 2017 10  375851·
 2017 11  145982·
 2017 12  416071·
 2018 01 46174·
 2018 02 816412·
 2018 03 506154.
 2018 04 96081·
 2018 05 325889·
 2018 06 455947·
 2018 07 276250.
 2018 08 346026.
 2018 09 556068·
 2018 10 866471·
 2018 11 336281.
 2018 12 356243·
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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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