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 Series Title: Employment: Multiple Jobholders, nonagricultural wage and salary workers on primary job: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 267275·
 2000 02 177362·
 2000 03 347282·
 2000 04 737305.
 2000 05 567298·
 2000 06 46833·
 2000 07 427109.
 2000 08 266646·
 2000 09 897064.
 2000 10 277158.
 2000 11 897061·
 2000 12 147370.
 2001 01  776841·
 2001 02  677283.
 2001 03  877229·
 2001 04  836904·
 2001 05  957151.
 2001 06  316981·
 2001 07  746988·
 2001 08  16588.
 2001 09  426857.
 2001 10  526731·
 2001 11  136718·
 2001 12  636936.
 2002 01 456642.
 2002 02 857084.
 2002 03 927113.
 2002 04 876949·
 2002 05 536827.
 2002 06 126893·
 2002 07 246822·
 2002 08 196470.
 2002 09 436862·
 2002 10 406881·
 2002 11 476834.
 2002 12 267206.
 2003 01  156785·
 2003 02  07216·
 2003 03  236967.
 2003 04  46759·
 2003 05  936981·
 2003 06  496917·
 2003 07  416907.
 2003 08  706779·
 2003 09  296721·
 2003 10  707033·
 2003 11  136855.
 2003 12  716831.
 2004 01 976717.
 2004 02 676857·
 2004 03 786959·
 2004 04 736872.
 2004 05 996840·
 2004 06 746996·
 2004 07 987132.
 2004 08 736988.
 2004 09 597216.
 2004 10 467588.
 2004 11 617231.
 2004 12 887402·
 2005 01  286811.
 2005 02  667150·
 2005 03  807113.
 2005 04  646955.
 2005 05  816898.
 2005 06  397221.
 2005 07  927211·
 2005 08  686806.
 2005 09  197260·
 2005 10  987349·
 2005 11  627161·
 2005 12  967289.
 2006 01 677036·
 2006 02 997014.
 2006 03 767183.
 2006 04 666932·
 2006 05 767221.
 2006 06 256829·
 2006 07 487049.
 2006 08 236809·
 2006 09 207271.
 2006 10 807414.
 2006 11 157416·
 2006 12 357533·
 2007 01  17179.
 2007 02  987336.
 2007 03  417396·
 2007 04  987414.
 2007 05  437264·
 2007 06  347105.
 2007 07  127221·
 2007 08  296841·
 2007 09  987211·
 2007 10  717368.
 2007 11  437379·
 2007 12  737145.
 2008 01 396948.
 2008 02 157189·
 2008 03 717095·
 2008 04 07186.
 2008 05 697200·
 2008 06 987271.
 2008 07 597286·
 2008 08 37284·
 2008 09 127303·
 2008 10 767384·
 2008 11 957119·
 2008 12 17020·
 2009 01  196856.
 2009 02  317246·
 2009 03  917302.
 2009 04  407382.
 2009 05  646888.
 2009 06  706678.
 2009 07  866944·
 2009 08  876400.
 2009 09  496690·
 2009 10  246820·
 2009 11  426857·
 2009 12  376519·
 2010 01 986367·
 2010 02 506777·
 2010 03 486678.
 2010 04 96691·
 2010 05 636861.
 2010 06 296521·
 2010 07 156266·
 2010 08 476176.
 2010 09 196309.
 2010 10 696417.
 2010 11 836440·
 2010 12 216484.
 2011 01  656209.
 2011 02  06441·
 2011 03  146394.
 2011 04  246477·
 2011 05  286671·
 2011 06  806468.
 2011 07  966366.
 2011 08  766299·
 2011 09  576535.
 2011 10  906556.
 2011 11  426661·
 2011 12  216674.
 2012 01 286458.
 2012 02 376733.
 2012 03 896663.
 2012 04 276580·
 2012 05 436804.
 2012 06 526338.
 2012 07 16318·
 2012 08 906238·
 2012 09 246413.
 2012 10 926570.
 2012 11 666842.
 2012 12 286696.
 2013 01  256366.
 2013 02  397006.
 2013 03  966845.
 2013 04  866662·
 2013 05  196796·
 2013 06  996660·
 2013 07  296554.
 2013 08  316436·
 2013 09  66576·
 2013 10  46616·
 2013 11  286611.
 2013 12  606572.
 2014 01 146342·
 2014 02 116729·
 2014 03 816758·
 2014 04 906809.
 2014 05 916940·
 2014 06 16563.
 2014 07 16430·
 2014 08 666388.
 2014 09 146709·
 2014 10 817357·
 2014 11 267154·
 2014 12 586962·
 2015 01  826953.
 2015 02  826850·
 2015 03  196880·
 2015 04  586600·
 2015 05  216696·
 2015 06  616666.
 2015 07  676653.
 2015 08  876503.
 2015 09  826939·
 2015 10  17215·
 2015 11  847260·
 2015 12  887462·
 2016 01 396940·
 2016 02 67082·
 2016 03 77193·
 2016 04 316976·
 2016 05 947075·
 2016 06 106687.
 2016 07 06839·
 2016 08 106892·
 2016 09 717473·
 2016 10 697673·
 2016 11 497724.
 2016 12 447331.
 2017 01  217053.
 2017 02  647614.


 2017 03  697724·
 2017 04  767216·
 2017 05  207214·
 2017 06  17048.
 2017 07  966869·
 2017 08  776600.
 2017 09  676951.
 2017 10  147010.
 2017 11  957205.
 2017 12  417423.
 2018 01 887355.
 2018 02 587721·
 2018 03 527390·
 2018 04 857188·
 2018 05 347012.
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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: Multiple Jobholders, nonagricultural wage and salary workers on primary job: 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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