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, 16-19 years, Women: 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 01 773.9
 1994 02 194·6
 1994 03 375·4
 1994 04 915.9
 1994 05 645·6
 1994 06 417.5
 1994 07 97·7
 1994 08 857·8
 1994 09 685·1
 1994 10 114.9
 1994 11 315.4
 1994 12 285·7
 1995 01  385·5
 1995 02  125.7
 1995 03  185.6
 1995 04  636.1
 1995 05  507.7
 1995 06  498.1
 1995 07  68.1
 1995 08  606·3
 1995 09  46·1
 1995 10  556.0
 1995 11  584·3
 1995 12  144·9
 1996 01 275.3
 1996 02 864.7
 1996 03 634·8
 1996 04 424.9
 1996 05 685·6
 1996 06 237·7
 1996 07 348.3
 1996 08 906·9
 1996 09 24·8
 1996 10 745·9
 1996 11 85.2
 1996 12 276·1
 1997 01  314.5
 1997 02  704·6
 1997 03  475.2
 1997 04  465.5
 1997 05  795·6
 1997 06  678·2
 1997 07  417·8
 1997 08  677·2
 1997 09  974.8
 1997 10  484.2
 1997 11  24·6
 1997 12  345.4
 1998 01 605.0
 1998 02 184.9
 1998 03 685.0
 1998 04 165.0
 1998 05 695.3
 1998 06 107·0
 1998 07 17·0
 1998 08 76.6
 1998 09 486·0
 1998 10 805.0
 1998 11 905·1
 1998 12 265·3
 1999 01  504·2
 1999 02  104·7
 1999 03  474·5
 1999 04  184.2
 1999 05  485.2
 1999 06  65.6
 1999 07  117.0
 1999 08  526.5
 1999 09  435·9
 1999 10  14.9
 1999 11  445·8
 1999 12  216.3
 2000 01 614.5
 2000 02 505.1
 2000 03 345.1
 2000 04 455·0
 2000 05 524·7
 2000 06 356·6
 2000 07 958·0
 2000 08 696.4
 2000 09 915.3
 2000 10 645.2
 2000 11 635·0
 2000 12 605·3
 2001 01  795.0
 2001 02  673.4
 2001 03  25.1
 2001 04  144·6
 2001 05  415·1
 2001 06  16·5
 2001 07  07.8
 2001 08  495·8
 2001 09  275·5
 2001 10  495.2
 2001 11  694.6
 2001 12  105.4
 2002 01 144.6
 2002 02 165·6
 2002 03 485.0
 2002 04 664·6
 2002 05 15.4
 2002 06 346·2
 2002 07 997·3
 2002 08 116.1
 2002 09 144·9
 2002 10 605·2
 2002 11 113·9
 2002 12 635·4
 2003 01  24·9
 2003 02  755.3
 2003 03  954.9
 2003 04  683.6
 2003 05  423.9
 2003 06  876.2
 2003 07  916·9
 2003 08  947·8
 2003 09  354.9
 2003 10  266.6
 2003 11  616·7
 2003 12  366·8
 2004 01 44·1
 2004 02 505.0
 2004 03 924·4
 2004 04 124·3
 2004 05 15·8
 2004 06 397.8
 2004 07 997·9
 2004 08 676.8
 2004 09 15.0
 2004 10 25.5
 2004 11 184·5
 2004 12 705.7
 2005 01  55·3
 2005 02  694.9
 2005 03  126·0
 2005 04  155·3
 2005 05  375·5
 2005 06  967·8
 2005 07  707·6
 2005 08  216.4
 2005 09  495·7
 2005 10  676·1
 2005 11  44.2
 2005 12  325·2
 2006 01 154·6
 2006 02 864.7
 2006 03 534·5
 2006 04 184·4
 2006 05 366.0
 2006 06 876.2
 2006 07 787.4
 2006 08 726.8
 2006 09 385·4
 2006 10 255.1
 2006 11 694.5
 2006 12 144·3
 2007 01  704·3
 2007 02  825·1
 2007 03  374.8
 2007 04  884·7
 2007 05  95·0
 2007 06  656·1
 2007 07  216.8
 2007 08  635·7
 2007 09  545·0
 2007 10  54·4
 2007 11  844·5
 2007 12  334.2
 2008 01 313.4
 2008 02 603.9
 2008 03 134·4
 2008 04 183·2
 2008 05 914·4
 2008 06 106.4
 2008 07 216·1
 2008 08 615·2
 2008 09 85·0
 2008 10 634·0
 2008 11 474.8
 2008 12 313.9
 2009 01  833·3
 2009 02  503·9
 2009 03  543.9
 2009 04  234·5
 2009 05  423·6
 2009 06  275.6
 2009 07  286.3
 2009 08  564.7
 2009 09  354·5
 2009 10  765·3
 2009 11  834·8
 2009 12  744.0
 2010 01 373.6
 2010 02 52·9
 2010 03 573·5
 2010 04 464.0
 2010 05 495·1
 2010 06 446.7
 2010 07 137.1
 2010 08 665.5
 2010 09 963.4
 2010 10 504.2
 2010 11 394·1
 2010 12 545.5
 2011 01  284.5
 2011 02  64.4
 2011 03  473·2
 2011 04  543·9
 2011 05  223·9
 2011 06  166·2
 2011 07  755.4
 2011 08  345.7
 2011 09  764·6
 2011 10  144·9
 2011 11  874·6
 2011 12  884·7
 2012 01 174·1
 2012 02 564·1
 2012 03 703·9
 2012 04 373.7
 2012 05 964.0
 2012 06 235.3
 2012 07 375.9
 2012 08 244.9
 2012 09 864.5
 2012 10 224.9
 2012 11 275·0
 2012 12 184.6
 2013 01  904.6
 2013 02  854·9
 2013 03  15.0
 2013 04  145.3
 2013 05  313.9
 2013 06  685.2
 2013 07  486·3
 2013 08  305.3
 2013 09  624.3
 2013 10  535·2
 2013 11  804.1
 2013 12  115·3
 2014 01 563·9
 2014 02 474·5
 2014 03 364·3
 2014 04 254.6
 2014 05 154·9
 2014 06 815.9
 2014 07 794·8
 2014 08 685·7
 2014 09 633·9
 2014 10 125.1
 2014 11 965.0
 2014 12 585·5
 2015 01  524·9
 2015 02  214.0
 2015 03  05·5
 2015 04  395.7
 2015 05  565.7
 2015 06  165·7
 2015 07  296·1
 2015 08  806·3
 2015 09  764·9
 2015 10  285.4
 2015 11  474·9
 2015 12  764·3
 2016 01 383.3
 2016 02 124.4
 2016 03 404.7
 2016 04 454·0
 2016 05 915.1
 2016 06 536·1
 2016 07 226.5
 2016 08 336.6
 2016 09 114·1
 2016 10 544·0
 2016 11 315.5
 2016 12 75.0
 2017 01  993.6
 2017 02  504·4
 2017 03  292.9
 2017 04  623.7
 2017 05  804.3
 2017 06  955.6


 2017 07  55.9
 2017 08  185·2
 2017 09  43·1
 2017 10  723.4
 2017 11  713.5
 2017 12  183.9
 2018 01 464·2
 2018 02 874.7
 2018 03 654.2
 2018 04 314.3
 2018 05 85.6
 2018 06 723·8
 2018 07 515·9
 2018 08 524·6
 2018 09 155.1
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, 16-19 years, Women: 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

Professors, Teachers, Instructors: Get a free subscription to access data via Excel spreadsheet, and Copy & Paste formats.

Sites of Interest: Conerly Consulting: Economics for Business Decisions * GGG Marketing SEO Experts * homes for sale - pelican marsh * Invokana Attorneys *

 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