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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 05932·
 1994 02 846182.
 1994 03 906309·
 1994 04 336403.
 1994 05 546455.
 1994 06 936269·
 1994 07 936307.
 1994 08 296289·
 1994 09 556708.
 1994 10 816710·
 1994 11 796590·
 1994 12 66563.
 1995 01  546297.
 1995 02  316752.
 1995 03  606595.
 1995 04  66736·
 1995 05  267032·
 1995 06  496938·
 1995 07  746859·
 1995 08  996668.
 1995 09  726822·
 1995 10  677016.
 1995 11  846709·
 1995 12  806744.
 1996 01 186240.
 1996 02 406883.
 1996 03 776929.
 1996 04 676561·
 1996 05 126894·
 1996 06 526785.
 1996 07 676704·
 1996 08 56597·
 1996 09 326845·
 1996 10 87338.
 1996 11 927449.
 1996 12 637176.
 1997 01  776610.
 1997 02  416924·
 1997 03  146856.
 1997 04  356889.
 1997 05  737139·
 1997 06  67172·
 1997 07  217035·
 1997 08  396554.
 1997 09  706828·
 1997 10  866943·
 1997 11  277020.
 1997 12  216935·
 1998 01 436697.
 1998 02 876879·
 1998 03 686925·
 1998 04 496873.
 1998 05 947019·
 1998 06 416661·
 1998 07 86595·
 1998 08 186386.
 1998 09 466789·
 1998 10 47055.
 1998 11 367101.
 1998 12 467003.
 1999 01  516742.
 1999 02  586890.
 1999 03  636822·
 1999 04  786444·
 1999 05  856783·
 1999 06  106579·
 1999 07  276632.
 1999 08  836184·
 1999 09  466476.
 1999 10  926873.
 1999 11  936821·
 1999 12  546837·
 2000 01 626434.
 2000 02 596614.
 2000 03 466654·
 2000 04 126666·
 2000 05 826737.
 2000 06 936331·
 2000 07 16424.
 2000 08 16060·
 2000 09 816418·
 2000 10 36521.
 2000 11 956321.
 2000 12 886611.
 2001 01  616174.
 2001 02  176519·
 2001 03  916530.
 2001 04  706215·
 2001 05  466429.
 2001 06  956237.
 2001 07  776422.
 2001 08  646081.
 2001 09  866338.
 2001 10  176208·
 2001 11  666164.
 2001 12  156281·
 2002 01 586008·
 2002 02 896325.
 2002 03 966422·
 2002 04 916199·
 2002 05 616240.
 2002 06 446216.
 2002 07 306245.
 2002 08 895920·
 2002 09 226336·
 2002 10 386378·
 2002 11 556250.
 2002 12 256695·
 2003 01  906132.
 2003 02  536495·
 2003 03  846363.
 2003 04  456191.
 2003 05  406226.
 2003 06  956315.
 2003 07  566230·
 2003 08  176171.
 2003 09  746137·
 2003 10  966455.
 2003 11  326321·
 2003 12  366239·
 2004 01 166090.
 2004 02 136172·
 2004 03 26257.
 2004 04 216175.
 2004 05 176108.
 2004 06 276295·
 2004 07 786404.
 2004 08 166357·
 2004 09 526586.
 2004 10 456857·
 2004 11 986411.
 2004 12 906572·
 2005 01  226046·
 2005 02  986400·
 2005 03  256434·
 2005 04  376333.
 2005 05  526273.
 2005 06  446409.
 2005 07  466342·
 2005 08  776019·
 2005 09  936504.
 2005 10  646599.
 2005 11  756317·
 2005 12  536431.
 2006 01 196153·
 2006 02 646120.
 2006 03 496318·
 2006 04 356159.
 2006 05 326338.
 2006 06 766124·
 2006 07 326269.
 2006 08 176038·
 2006 09 566601.
 2006 10 576635.
 2006 11 106533·
 2006 12 186561.
 2007 01  436289.
 2007 02  896488·
 2007 03  986588·
 2007 04  826680.
 2007 05  676575.
 2007 06  776372.
 2007 07  336427·
 2007 08  786104.
 2007 09  286467.
 2007 10  556683.
 2007 11  786569·
 2007 12  06362·
 2008 01 536163.
 2008 02 776411·
 2008 03 216238.
 2008 04 686274·
 2008 05 926424·
 2008 06 276483·
 2008 07 746502·
 2008 08 266453·
 2008 09 196583·
 2008 10 106641.
 2008 11 766425·
 2008 12 436263·
 2009 01  366081·
 2009 02  596544·
 2009 03  896542.
 2009 04  126550.
 2009 05  686107.
 2009 06  295987·
 2009 07  26173·
 2009 08  545734.
 2009 09  656034·
 2009 10  36165·
 2009 11  276175·
 2009 12  125898.
 2010 01 25734·
 2010 02 876111·
 2010 03 26010·
 2010 04 556015.
 2010 05 816205·
 2010 06 135929.
 2010 07 905612·
 2010 08 785590.
 2010 09 255677·
 2010 10 375806·
 2010 11 795821·
 2010 12 995776·
 2011 01  875551·
 2011 02  425735.
 2011 03  815665.
 2011 04  645833.
 2011 05  406042·
 2011 06  335919.
 2011 07  365810.
 2011 08  405695·
 2011 09  865853·
 2011 10  435898.
 2011 11  55876.
 2011 12  225870·
 2012 01 505732.
 2012 02 275850.
 2012 03 765885·
 2012 04 305753.
 2012 05 825925·
 2012 06 695607.
 2012 07 635657.
 2012 08 65532.
 2012 09 585600·
 2012 10 745810.
 2012 11 35934.
 2012 12 225788.
 2013 01  785474.
 2013 02  736025.
 2013 03  595898·
 2013 04  705809.
 2013 05  685929·
 2013 06  245772·
 2013 07  205591·
 2013 08  705545·
 2013 09  775749.
 2013 10  95748·
 2013 11  975754.
 2013 12  655715.
 2014 01 825451·
 2014 02 335803·
 2014 03 295748·
 2014 04 265835.
 2014 05 825875·
 2014 06 295694·
 2014 07 795655.
 2014 08 465548·
 2014 09 35844·
 2014 10 536312·
 2014 11 346128.
 2014 12 455913.
 2015 01  966040·
 2015 02  875918·
 2015 03  85917.
 2015 04  665713.
 2015 05  355631·
 2015 06  375607·
 2015 07  385710.
 2015 08  785651.
 2015 09  225923.
 2015 10  356177·
 2015 11  876118·
 2015 12  766165·
 2016 01 815832·
 2016 02 386038.
 2016 03 446110·
 2016 04 795999·
 2016 05 635979·
 2016 06 285652·
 2016 07 215603.
 2016 08 325656·
 2016 09 446217·
 2016 10 106398.
 2016 11 556393.
 2016 12 26107.
 2017 01  235916.
 2017 02  176337·
 2017 03  116365.
 2017 04  855984·


 2017 05  275991·
 2017 06  55957.
 2017 07  755821·
 2017 08  995580·
 2017 09  56006·
 2017 10  575851·
 2017 11  615982·
 2017 12  896071·
 2018 01 336174.
 2018 02 776412.
 2018 03 66154.
 2018 04 246081.
 2018 05 115889.
 2018 06 995947·
 2018 07 746250·
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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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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