Economagic.com: Economic Time Series Page
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help
 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults

 Series Title: Multiple Jobholders as a Percent of Employed, White Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  Reverse this series  |  Data set page
Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
Go to end of data set
 1994 01 795·7
 1994 02 795·8
 1994 03 106.1
 1994 04 746·0
 1994 05 06.1
 1994 06 145.9
 1994 07 505·8
 1994 08 666·0
 1994 09 56.4
 1994 10 676.3
 1994 11 96.2
 1994 12 756.1
 1995 01  466.0
 1995 02  186.3
 1995 03  06.0
 1995 04  456·2
 1995 05  986.4
 1995 06  756·5
 1995 07  626.5
 1995 08  466.2
 1995 09  616·4
 1995 10  696.5
 1995 11  586·2
 1995 12  726.0
 1996 01 615·8
 1996 02 576·3
 1996 03 756.3
 1996 04 426.2
 1996 05 486.5
 1996 06 206·2
 1996 07 256·1
 1996 08 06.0
 1996 09 976.2
 1996 10 656·5
 1996 11 486·7
 1996 12 156·4
 1997 01  96·1
 1997 02  246·1
 1997 03  66.0
 1997 04  826·1
 1997 05  106.4
 1997 06  536·5
 1997 07  866.3
 1997 08  195.8
 1997 09  486·2
 1997 10  346·2
 1997 11  36·2
 1997 12  716.1
 1998 01 15.8
 1998 02 746.1
 1998 03 926.1
 1998 04 76·0
 1998 05 696·3
 1998 06 45.8
 1998 07 195.8
 1998 08 215·7
 1998 09 766.0
 1998 10 816.1
 1998 11 696.1
 1998 12 315.9
 1999 01  735.9
 1999 02  876.1
 1999 03  576·0
 1999 04  835·6
 1999 05  365·8
 1999 06  285·8
 1999 07  205.8
 1999 08  465·4
 1999 09  645·4
 1999 10  355.9
 1999 11  215.7
 1999 12  135.6
 2000 01 855·7
 2000 02 665.7
 2000 03 485.7
 2000 04 35.7
 2000 05 465.8
 2000 06 25.4
 2000 07 135·5
 2000 08 625.2
 2000 09 255·4
 2000 10 505·5
 2000 11 555·2
 2000 12 575·5
 2001 01  225.2
 2001 02  425.6
 2001 03  375.5
 2001 04  845.3
 2001 05  615.4
 2001 06  335·2
 2001 07  475·4
 2001 08  605·2
 2001 09  945·4
 2001 10  65·2
 2001 11  965·1
 2001 12  315·3
 2002 01 955·2
 2002 02 675·2
 2002 03 245.5
 2002 04 665.3
 2002 05 655·2
 2002 06 495.3
 2002 07 945·2
 2002 08 584·9
 2002 09 305·3
 2002 10 65·2
 2002 11 924.9
 2002 12 275·5
 2003 01  405.0
 2003 02  235.3
 2003 03  325.3
 2003 04  175.2
 2003 05  705.3
 2003 06  45.3
 2003 07  525.2
 2003 08  975.1
 2003 09  204·9
 2003 10  815·1
 2003 11  145.1
 2003 12  615·0
 2004 01 175.1
 2004 02 125.1
 2004 03 85·0
 2004 04 285·0
 2004 05 104·9
 2004 06 775.0
 2004 07 445.2
 2004 08 435·3
 2004 09 755.5
 2004 10 845·6
 2004 11 625.3
 2004 12 755.4
 2005 01  124.9
 2005 02  645·3
 2005 03  255·2
 2005 04  185.1
 2005 05  475.0
 2005 06  745·3
 2005 07  195.1
 2005 08  905·0
 2005 09  295.2
 2005 10  955.3
 2005 11  595·0
 2005 12  365·0
 2006 01 355·0
 2006 02 344.8
 2006 03 815·0
 2006 04 264·9
 2006 05 654.9
 2006 06 225·0
 2006 07 504.8
 2006 08 534·6
 2006 09 445.0
 2006 10 175·1
 2006 11 524·9
 2006 12 365.1
 2007 01  224.9
 2007 02  05.2
 2007 03  05.1
 2007 04  205·2
 2007 05  765.0
 2007 06  784.8
 2007 07  334.9
 2007 08  744.8
 2007 09  45.0
 2007 10  815·1
 2007 11  145·0
 2007 12  924·9
 2008 01 344·8
 2008 02 684·8
 2008 03 304·8
 2008 04 925.0
 2008 05 145·0
 2008 06 195·1
 2008 07 945.1
 2008 08 205.2
 2008 09 215.3
 2008 10 415·3
 2008 11 445.0
 2008 12 445.1
 2009 01  554·9
 2009 02  665·1
 2009 03  435·2
 2009 04  595·2
 2009 05  414.8
 2009 06  504.7
 2009 07  794·8
 2009 08  834.4
 2009 09  304·8
 2009 10  755.1
 2009 11  644.9
 2009 12  614.8
 2010 01 974·7
 2010 02 485·0
 2010 03 385·0
 2010 04 624·8
 2010 05 424.9
 2010 06 04·8
 2010 07 614·4
 2010 08 804.5
 2010 09 914·4
 2010 10 894·5
 2010 11 244.5
 2010 12 344.5
 2011 01  954·5
 2011 02  954·7
 2011 03  374·5
 2011 04  684.6
 2011 05  284·8
 2011 06  254.8
 2011 07  404·6
 2011 08  524·5
 2011 09  914·6
 2011 10  114.7
 2011 11  954·7
 2011 12  804·8
 2012 01 94.8
 2012 02 94.7
 2012 03 894.8
 2012 04 704·7
 2012 05 344.8
 2012 06 24·4
 2012 07 374·6
 2012 08 674.5
 2012 09 394.6
 2012 10 964.6
 2012 11 754·7
 2012 12 404·6
 2013 01  264·4
 2013 02  225.0
 2013 03  674.8
 2013 04  834.7
 2013 05  204·8
 2013 06  374·8
 2013 07  14.6
 2013 08  154.5
 2013 09  714.8
 2013 10  224·5
 2013 11  894.5
 2013 12  814.4
 2014 01 554.3
 2014 02 864·6
 2014 03 694.4
 2014 04 504.5
 2014 05 724·7
 2014 06 584.5
 2014 07 44·6
 2014 08 154·4
 2014 09 484·6
 2014 10 964·8
 2014 11 834.7
 2014 12 964.5
 2015 01  334·8
 2015 02  814·8
 2015 03  174.7
 2015 04  374·2
 2015 05  24.3
 2015 06  204·3
 2015 07  464·6
 2015 08  74.4
 2015 09  554·5
 2015 10  454·8
 2015 11  314·7
 2015 12  04.8
 2016 01 194·5
 2016 02 124·6
 2016 03 614.7
 2016 04 364.6
 2016 05 434·6
 2016 06 24.3
 2016 07 484·3
 2016 08 594.3
 2016 09 34.5
 2016 10 244.8
 2016 11 314.6
 2016 12 374·4
 2017 01  04·6
 2017 02  74.9


 2017 03  724·9
 2017 04  644.6
 2017 05  584.7
 2017 06  94·6
 2017 07  604.5
 2017 08  614·4
 2017 09  284.7
 2017 10  124.5
 2017 11  64.4
 2017 12  714·6
 2018 01 854.8
 2018 02 215.0
 2018 03 504·9
 2018 04 644·6
 2018 05 314·4
Economagic: Year Chart
Economagic: Economic Chart Dispenser

Click on chart to change display options.


Similar Series

Skip to Data / More Chart Options

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: Multiple Jobholders as a Percent of Employed, White Men: 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

Want Personal Workspace access from any computer?

Sites of Interest: Cheap Football Shirt * GGG Marketing SEO Experts * homes for sale - pelican marsh * Invokana Attorneys * The Wall Street Examiner: Be prepared. Stay ahead of the herd

 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults  |  Disclaimer
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help  |  About  |  Contact Us
 Economagic.com: Economic Time Series Page
Sitemap