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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 697275.
 2000 02 667362.
 2000 03 827282·
 2000 04 867305.
 2000 05 777298.
 2000 06 496833.
 2000 07 57109.
 2000 08 736646·
 2000 09 637064.
 2000 10 447158.
 2000 11 427061.
 2000 12 707370.
 2001 01  786841·
 2001 02  307283.
 2001 03  57229·
 2001 04  236904·
 2001 05  987151·
 2001 06  166981·
 2001 07  326988·
 2001 08  06588.
 2001 09  246857.
 2001 10  336731·
 2001 11  866718.
 2001 12  966936.
 2002 01 796642·
 2002 02 387084.
 2002 03 567113.
 2002 04 296949·
 2002 05 156827·
 2002 06 116893.
 2002 07 536822·
 2002 08 456470·
 2002 09 86862·
 2002 10 616881.
 2002 11 166834·
 2002 12 117206·
 2003 01  576785.
 2003 02  177216.
 2003 03  76967·
 2003 04  226759.
 2003 05  886981·
 2003 06  386917.
 2003 07  166907.
 2003 08  986779·
 2003 09  526721.
 2003 10  57033.
 2003 11  536855·
 2003 12  826831·
 2004 01 236717.
 2004 02 246857.
 2004 03 586959.
 2004 04 446872·
 2004 05 26840·
 2004 06 276996·
 2004 07 937132·
 2004 08 786988.
 2004 09 157216.
 2004 10 717588.
 2004 11 467231·
 2004 12 27402.
 2005 01  126811·
 2005 02  377150.
 2005 03  307113·
 2005 04  616955·
 2005 05  686898·
 2005 06  327221·
 2005 07  837211·
 2005 08  256806·
 2005 09  837260·
 2005 10  877349·
 2005 11  687161·
 2005 12  877289·
 2006 01 847036.
 2006 02 607014·
 2006 03 737183·
 2006 04 666932·
 2006 05 217221·
 2006 06 326829·
 2006 07 107049.
 2006 08 76809.
 2006 09 687271·
 2006 10 97414·
 2006 11 177416·
 2006 12 787533.
 2007 01  267179·
 2007 02  237336·
 2007 03  587396·
 2007 04  747414·
 2007 05  217264·
 2007 06  317105.
 2007 07  207221·
 2007 08  146841·
 2007 09  37211·
 2007 10  157368·
 2007 11  167379·
 2007 12  437145.
 2008 01 486948·
 2008 02 807189·
 2008 03 847095.
 2008 04 287186·
 2008 05 557200·
 2008 06 597271.
 2008 07 877286·
 2008 08 657284.
 2008 09 517303·
 2008 10 97384.
 2008 11 137119.
 2008 12 737020.
 2009 01  856856·
 2009 02  107246·
 2009 03  757302.
 2009 04  957382·
 2009 05  336888.
 2009 06  716678.
 2009 07  106944·
 2009 08  16400·
 2009 09  966690·
 2009 10  216820·
 2009 11  816857.
 2009 12  856519.
 2010 01 986367·
 2010 02 186777·
 2010 03 776678·
 2010 04 666691.
 2010 05 916861·
 2010 06 446521.
 2010 07 106266·
 2010 08 896176·
 2010 09 496309.
 2010 10 56417.
 2010 11 186440.
 2010 12 216484.
 2011 01  736209.
 2011 02  336441·
 2011 03  646394·
 2011 04  596477.
 2011 05  886671.
 2011 06  856468·
 2011 07  376366.
 2011 08  196299.
 2011 09  466535·
 2011 10  416556.
 2011 11  486661·
 2011 12  486674·
 2012 01 206458·
 2012 02 96733·
 2012 03 356663·
 2012 04 146580.
 2012 05 126804·
 2012 06 216338·
 2012 07 626318.
 2012 08 116238.
 2012 09 466413·
 2012 10 336570·
 2012 11 176842·
 2012 12 586696·
 2013 01  746366.
 2013 02  267006·
 2013 03  126845·
 2013 04  996662.
 2013 05  716796.
 2013 06  86660·
 2013 07  856554.
 2013 08  46436.
 2013 09  366576.
 2013 10  96616·
 2013 11  06611.
 2013 12  666572·
 2014 01 976342.
 2014 02 876729.
 2014 03 436758·
 2014 04 56809·
 2014 05 26940·
 2014 06 246563.
 2014 07 296430·
 2014 08 666388·
 2014 09 276709·
 2014 10 257357.
 2014 11 947154.
 2014 12 166962·
 2015 01  736953.
 2015 02  236850.
 2015 03  26880·
 2015 04  506600·
 2015 05  656696·
 2015 06  746666.
 2015 07  406653·
 2015 08  886503·
 2015 09  536939.
 2015 10  607215·
 2015 11  227260·
 2015 12  747462.
 2016 01 136940·
 2016 02 877082.
 2016 03 867193.
 2016 04 766976·
 2016 05 467075.
 2016 06 876687.
 2016 07 936839.
 2016 08 886892.
 2016 09 767473·
 2016 10 177673·
 2016 11 337724·
 2016 12 317331·
 2017 01  537053.
 2017 02  587614·
 2017 03  187724.
 2017 04  487216·
 2017 05  557214·
 2017 06  187048·


 2017 07  866869·
 2017 08  76600.
 2017 09  806951.
 2017 10  277010·
 2017 11  07205·
 2017 12  57423.
 2018 01 547355·
 2018 02 427721·
 2018 03 477390.
 2018 04 587188.
 2018 05 287012·
 2018 06 457079·
 2018 07 417382·
 2018 08 137043.
 2018 09 767225·
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Similar Series

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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

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