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: Employment Level: Multiple Jobholders 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 4752·
 1994 02 4142.
 1994 03 3119.
 1994 04 7514.
 1994 05 5714.
 1994 06 6217·
 1994 07 7629·
 1994 08 1731·
 1994 09 8443.
 1994 10 3024·
 1994 11 7232·
 1994 12 827.
 1995 01  7738.
 1995 02  3028·
 1995 03  3250·
 1995 04  9228·
 1995 05  1330·
 1995 06  6531.
 1995 07  9340.
 1995 08  3832.
 1995 09  9148·
 1995 10  7052.
 1995 11  1938.
 1995 12  4044·
 1996 01 3735.
 1996 02 9947·
 1996 03 9839.
 1996 04 1742.
 1996 05 134.
 1996 06 3529.
 1996 07 4233.
 1996 08 1338.
 1996 09 5940·
 1996 10 8457·
 1996 11 8956.
 1996 12 9850.
 1997 01  1144.
 1997 02  7846.
 1997 03  237.
 1997 04  6640·
 1997 05  8337·
 1997 06  7433·
 1997 07  6940.
 1997 08  3542.
 1997 09  2437.
 1997 10  5346.
 1997 11  448.
 1997 12  5036.
 1998 01 1133·
 1998 02 2229·
 1998 03 4344·
 1998 04 8145.
 1998 05 4347·
 1998 06 1246.
 1998 07 4933·
 1998 08 2027.
 1998 09 4635·
 1998 10 8148.
 1998 11 1239·
 1998 12 8839.
 1999 01  7136.
 1999 02  948·
 1999 03  4337.
 1999 04  2945·
 1999 05  9241·
 1999 06  452.
 1999 07  8040.
 1999 08  1158·
 1999 09  1151.
 1999 10  9645.
 1999 11  8641.
 1999 12  2841·
 2000 01 5255·
 2000 02 4463·
 2000 03 5062·
 2000 04 160.
 2000 05 6657·
 2000 06 2847·
 2000 07 8446.
 2000 08 7337·
 2000 09 2934·
 2000 10 5570.
 2000 11 2554.
 2000 12 1367.
 2001 01  4071.
 2001 02  5641.
 2001 03  3853·
 2001 04  1554·
 2001 05  2654·
 2001 06  8952.
 2001 07  960·
 2001 08  9959.
 2001 09  3652.
 2001 10  3566.
 2001 11  5239.
 2001 12  861.
 2002 01 4661·
 2002 02 064·
 2002 03 462·
 2002 04 1256·
 2002 05 5657.
 2002 06 1746.
 2002 07 2951·
 2002 08 651.
 2002 09 9273·
 2002 10 4167·
 2002 11 1488.
 2002 12 780.
 2003 01  463·
 2003 02  5570·
 2003 03  7256·
 2003 04  6056·
 2003 05  6854·
 2003 06  6562.
 2003 07  4168.
 2003 08  3464·
 2003 09  8474·
 2003 10  369.
 2003 11  8491.
 2003 12  2576·
 2004 01 7660·
 2004 02 2561.
 2004 03 8962·
 2004 04 4979·
 2004 05 9785.
 2004 06 1354·
 2004 07 6974.
 2004 08 5384.
 2004 09 20102·
 2004 10 7474.
 2004 11 6167.
 2004 12 481·
 2005 01  4750·
 2005 02  3962·
 2005 03  2987·
 2005 04  9783.
 2005 05  395·
 2005 06  6567.
 2005 07  6166.
 2005 08  5271·
 2005 09  38100·
 2005 10  3494·
 2005 11  6884·
 2005 12  11102.
 2006 01 2871·
 2006 02 5288·
 2006 03 9072.
 2006 04 4686·
 2006 05 7367·
 2006 06 5157·
 2006 07 8970.
 2006 08 4851·
 2006 09 9889.
 2006 10 8871.
 2006 11 5378.
 2006 12 39101.
 2007 01  54105.
 2007 02  43101·
 2007 03  95109.
 2007 04  6192.
 2007 05  1688.
 2007 06  2570.
 2007 07  5269.
 2007 08  8565·
 2007 09  84105.
 2007 10  6384.
 2007 11  88112.
 2007 12  394.
 2008 01 85103·
 2008 02 1690·
 2008 03 9194·
 2008 04 3693.
 2008 05 68100.
 2008 06 6589·
 2008 07 7392.
 2008 08 2787.
 2008 09 892.
 2008 10 1678·
 2008 11 7299.
 2008 12 46113·
 2009 01  7120.
 2009 02  193.
 2009 03  5291·
 2009 04  8799.
 2009 05  9080·
 2009 06  7769·
 2009 07  086·
 2009 08  6882·
 2009 09  696·
 2009 10  25104·
 2009 11  2894·
 2009 12  3487.
 2010 01 3180.
 2010 02 5294.
 2010 03 7677.
 2010 04 5582·
 2010 05 6777.
 2010 06 9067·
 2010 07 561.
 2010 08 2489.
 2010 09 37110.
 2010 10 95105.
 2010 11 499.
 2010 12 6089·
 2011 01  9377·
 2011 02  4888.
 2011 03  86103·
 2011 04  8110·
 2011 05  1073.
 2011 06  57100.
 2011 07  8869·
 2011 08  3685.
 2011 09  88103.
 2011 10  5496·
 2011 11  73100.
 2011 12  39108·
 2012 01 5279.
 2012 02 9465·
 2012 03 30114·
 2012 04 3766.
 2012 05 5486.
 2012 06 5977·
 2012 07 7083·
 2012 08 72106·
 2012 09 68151·
 2012 10 57120.
 2012 11 33104·
 2012 12 15107·
 2013 01  9581·
 2013 02  1894.
 2013 03  80127·
 2013 04  59138.
 2013 05  60107.
 2013 06  0115·
 2013 07  1102·
 2013 08  23137.
 2013 09  14119.
 2013 10  83106·
 2013 11  7103.
 2013 12  5392·
 2014 01 3296·
 2014 02 75131·
 2014 03 36115.
 2014 04 16151.
 2014 05 14136·
 2014 06 8116·
 2014 07 52119·
 2014 08 7118.
 2014 09 8699·
 2014 10 37118.
 2014 11 43113·
 2014 12 45116.
 2015 01  98130.
 2015 02  45152.
 2015 03  20180·
 2015 04  74176.
 2015 05  25185·
 2015 06  38138.
 2015 07  23132.
 2015 08  64116·
 2015 09  69135·
 2015 10  48117·
 2015 11  14148.
 2015 12  8137·
 2016 01 54158·
 2016 02 31201.
 2016 03 81187.
 2016 04 26183.
 2016 05 31163·
 2016 06 70112.
 2016 07 36145·
 2016 08 62114·
 2016 09 74151.
 2016 10 70170·
 2016 11 18167.
 2016 12 84145·
 2017 01  86133·
 2017 02  64135·


 2017 03  90131·
 2017 04  88140·
 2017 05  90114·
 2017 06  8129·
 2017 07  39110.
 2017 08  92125·
 2017 09  37151·
 2017 10  83171·
 2017 11  79170.
 2017 12  41178.
 2018 01 3184·
 2018 02 97149·
 2018 03 47161·
 2018 04 2156·
 2018 05 89143.
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: Employment Level: Multiple Jobholders 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

Find out about Advanced Features such as online regressions, XY plots, and multiple series charting.

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