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, 65 years and over, 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 01 733·2
 1994 02 272.6
 1994 03 201.2
 1994 04 520·9
 1994 05 510.9
 1994 06 451.1
 1994 07 671.9
 1994 08 761·9
 1994 09 142.6
 1994 10 811·5
 1994 11 341.9
 1994 12 181.8
 1995 01  132·6
 1995 02  151·9
 1995 03  333·3
 1995 04  211·8
 1995 05  231·9
 1995 06  542·0
 1995 07  32·6
 1995 08  552.0
 1995 09  442.9
 1995 10  313·2
 1995 11  72·4
 1995 12  132·9
 1996 01 12.4
 1996 02 23·0
 1996 03 312·6
 1996 04 162·7
 1996 05 462.2
 1996 06 481.9
 1996 07 902.2
 1996 08 72·5
 1996 09 532.7
 1996 10 763.7
 1996 11 203·7
 1996 12 553.2
 1997 01  232·8
 1997 02  172.9
 1997 03  862·4
 1997 04  552·6
 1997 05  812·3
 1997 06  292.2
 1997 07  742·8
 1997 08  252·9
 1997 09  782·4
 1997 10  933·1
 1997 11  983·0
 1997 12  92.2
 1998 01 882·1
 1998 02 161·9
 1998 03 962.7
 1998 04 783.0
 1998 05 133.0
 1998 06 293.1
 1998 07 302.2
 1998 08 241.8
 1998 09 782.3
 1998 10 893.0
 1998 11 882·4
 1998 12 682.4
 1999 01  332.4
 1999 02  773·0
 1999 03  842.2
 1999 04  532.7
 1999 05  542·5
 1999 06  13·2
 1999 07  542.5
 1999 08  483.6
 1999 09  403·1
 1999 10  912.8
 1999 11  632·5
 1999 12  482·4
 2000 01 183.2
 2000 02 53·6
 2000 03 983·4
 2000 04 713·3
 2000 05 383·2
 2000 06 242·8
 2000 07 712.7
 2000 08 622.2
 2000 09 751.9
 2000 10 553·8
 2000 11 213.0
 2000 12 913·6
 2001 01  294.0
 2001 02  292.3
 2001 03  112.9
 2001 04  503.0
 2001 05  263.0
 2001 06  33.0
 2001 07  283.4
 2001 08  593·2
 2001 09  172·7
 2001 10  593.4
 2001 11  862.1
 2001 12  633.3
 2002 01 763·4
 2002 02 33·5
 2002 03 223.4
 2002 04 303·1
 2002 05 43·2
 2002 06 672.5
 2002 07 982.8
 2002 08 552.8
 2002 09 273·8
 2002 10 83.5
 2002 11 44.7
 2002 12 574.3
 2003 01  943·1
 2003 02  73·5
 2003 03  522.8
 2003 04  802.8
 2003 05  822.6
 2003 06  713·1
 2003 07  803·5
 2003 08  933.2
 2003 09  903·6
 2003 10  313·4
 2003 11  514·5
 2003 12  903.7
 2004 01 453.0
 2004 02 442·8
 2004 03 522·8
 2004 04 903·7
 2004 05 953·9
 2004 06 932.5
 2004 07 963.5
 2004 08 384·0
 2004 09 184.7
 2004 10 823·4
 2004 11 223.2
 2004 12 23·8
 2005 01  132·4
 2005 02  452.8
 2005 03  923.9
 2005 04  783·7
 2005 05  54·2
 2005 06  373·1
 2005 07  943·1
 2005 08  833.3
 2005 09  464.4
 2005 10  414·0
 2005 11  423·6
 2005 12  624.4
 2006 01 103·1
 2006 02 633·9
 2006 03 723.2
 2006 04 843.7
 2006 05 972.8
 2006 06 352·5
 2006 07 483·2
 2006 08 442.3
 2006 09 343.8
 2006 10 123.0
 2006 11 583.2
 2006 12 604.0
 2007 01  704.4
 2007 02  784.1
 2007 03  154·3
 2007 04  773.6
 2007 05  813·5
 2007 06  382.8
 2007 07  562·8
 2007 08  642.6
 2007 09  684·1
 2007 10  253.2
 2007 11  444·2
 2007 12  143·6
 2008 01 553·9
 2008 02 943·4
 2008 03 683.5
 2008 04 483·4
 2008 05 933·7
 2008 06 283.4
 2008 07 393·4
 2008 08 83·2
 2008 09 583.3
 2008 10 332.8
 2008 11 973.6
 2008 12 654·1
 2009 01  504·3
 2009 02  403·4
 2009 03  43.3
 2009 04  133·6
 2009 05  942.9
 2009 06  72·6
 2009 07  483·2
 2009 08  703.0
 2009 09  403·4
 2009 10  163.7
 2009 11  413·4
 2009 12  813.0
 2010 01 652.8
 2010 02 713.4
 2010 03 222.8
 2010 04 142·9
 2010 05 682.7
 2010 06 62.4
 2010 07 542·2
 2010 08 653·2
 2010 09 753·7
 2010 10 783.6
 2010 11 243.4
 2010 12 523.1
 2011 01  362·7
 2011 02  663.0
 2011 03  453.5
 2011 04  193.7
 2011 05  272·5
 2011 06  793.6
 2011 07  562.4
 2011 08  363.1
 2011 09  483·5
 2011 10  483·2
 2011 11  183.3
 2011 12  963·6
 2012 01 242·6
 2012 02 292.0
 2012 03 213.6
 2012 04 192.1
 2012 05 62·7
 2012 06 52·5
 2012 07 762·7
 2012 08 493·4
 2012 09 704·6
 2012 10 813·7
 2012 11 223.2
 2012 12 543·3
 2013 01  142·5
 2013 02  902.8
 2013 03  223.8
 2013 04  304.0
 2013 05  663·0
 2013 06  883.4
 2013 07  633·1
 2013 08  963·9
 2013 09  753.4
 2013 10  573.1
 2013 11  593·0
 2013 12  942.7
 2014 01 172.7
 2014 02 33·6
 2014 03 473.2
 2014 04 964·1
 2014 05 923.7
 2014 06 583·3
 2014 07 913·4
 2014 08 943.5
 2014 09 262.8
 2014 10 783.3
 2014 11 773·1
 2014 12 73.1
 2015 01  683.4
 2015 02  464.0
 2015 03  194·6
 2015 04  814·6
 2015 05  954·9
 2015 06  683·7
 2015 07  553.6
 2015 08  843.1
 2015 09  63·6
 2015 10  763·0
 2015 11  493.8
 2015 12  103.5
 2016 01 284·0
 2016 02 255.1
 2016 03 864.7
 2016 04 794.6
 2016 05 104.1
 2016 06 992·9
 2016 07 813.7
 2016 08 342.9
 2016 09 283.8
 2016 10 34.3
 2016 11 724·1
 2016 12 453·6
 2017 01  823.2
 2017 02  693·3


 2017 03  213·2
 2017 04  63·4
 2017 05  982·7
 2017 06  543·2
 2017 07  162·7
 2017 08  353.1
 2017 09  263.7
 2017 10  404·1
 2017 11  714.1
 2017 12  784·2
 2018 01 414.4
 2018 02 323·5
 2018 03 223·7
 2018 04 33·6
 2018 05 443·3
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, 65 years and over, 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

Subscribers can access data in Excel spreadsheet, and Copy & Paste formats.

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