January 22, 2013

We have a project we're working on behind the scenes here at Political Calculations, where we keep having to work backward in time to figure out when an average American man or woman who has reached Age 65 in a given year was born, and then forward in time to project the year to which they can reasonably expect to live if they have the same average remaining life expectancy of a man or woman who reached Age 65 in the year that they did!

So rather than keeping doing the math, we've constructed a couple of visual aids to make it quicker to get our answers. First, we've tapped the U.S. Centers for Disease Control's data for remaining life expectancy for people who reached Age 65 in each year from 1950 through 2009:

And then, using that data, for the birth years that correspond to the year in which the American men or women turned 65, we worked out the year to which these individuals can reasonably expect to live given the CDC's remaining life expectancy estimates, which we've presented in our second chart below.

Well, not so fast. Since that data, while useful for our purposes, would make for a pretty uninteresting chart to share with all of you, we've added some extra information to it. We've identified the range of birth years that would correspond to the legal minimum (17) and maximum (45) ages of enlistment for military service in World War 2, along with a special range that corresponds to those who would have been 26 years old during the war - the average age of U.S. servicemen in the Second World War.

If you look closely, those aren't straight lines in the chart above - they actually curve upward ever so slightly!

### Some Cool Facts

The oldest living Congressional Medal of Honor winner from World War 2, Nicholas Oresko, just turned 96 years old on 18 January 2013, which puts his birth year of 1917 right in the middle of our highlighted "Age 26 during World War 2" range.

We note that the youngest legally-enlisted servicemen, those born in 1928 who would have been Age 17 in 1945, could reasonably have expected to live to 2008, given the average life expectancy for people born in that year who later turned Age 65 in 1993. By that standard, every veteran of WW2 alive today is someone who has lived longer than the average American born in the same year they were.

Here's hoping that all the remaining veterans of WWII continue to exceed the average American's lifespan expectations!

Labels: ,

Unexpectedly Intriguing!

is good for you

Welcome to the blogosphere's toolchest! Here, unlike other blogs dedicated to analyzing current events, we create easy-to-use, simple tools to do the math related to them so you can get in on the action too! If you would like to learn more about these tools, or if you would like to contribute ideas to develop for this blog, please e-mail us at:

ironman at politicalcalculations.com

Recent Posts

What Is Really Behind the Rally in Stock Prices?

Visualizing the 2012 Distribution of Income in the...

US-China Trade: Modest Improvement in Late 2012

Taking the Under on 2012Q4 GDP

Who Really Owns the U.S. National Debt? [Prelimina...

Quick Math on the Demise of the Trillion Dollar Co...

A Flat Trend, A New Business Idea, and Outted!

U.S. vs Canada: Assault Edition (Part 2)

Jobs Stall Out in 2012-Q4

U.S. Dividends Shatter Records

Elsewhere on the Web

This year, we'll be experimenting with a number of apps to bring more of a current events focus to Political Calculations - we're test driving the app(s) below!

Most Popular Posts
Quick Index

U.S. GDP Temperature Gauge

Political Calculations' U.S. GDP Temperature Gauge provides a means to quickly evaluate the growth rate of the U.S. economy against the backdrop of how the economy has performed since 1980, with the "temperature" color spectrum ranging from a recessionary "cold" (purple) through an expansionary "hot" (red).

The GDP Temperature Gauge presents both the annualized GDP growth rate as reported by the U.S. Bureau of Economic Analysis reports for a one-quarter period and also as averaged over a two quarter period, which smooths out the volatility seen in the one-quarter data and provides a better indication of the relative strength of the U.S. economy over time.

Site Data

Visitors since December 6, 2004:

#### JavaScript

The tools on this site are built using JavaScript. If you would like to learn more, one of the best free resources on the web is available at W3Schools.com.

#### Other Cool Resources

ZunZun - Exceptional regression analysis tool.
Wolfram Integrator - Solve integrals. Do calculus!
Create a Graph - Easy-to-use basic graph-making tool.
Many Eyes - Data visualization extraordinaire!
Wolfram Alpha - Computational knowledge engine.
Khan Academy - Math & science video mini-lectures!
Picasion - Animate images.

Archives
December 2004
January 2005
February 2005
March 2005
April 2005
May 2005
June 2005
July 2005
August 2005
September 2005
October 2005
November 2005
December 2005
January 2006
February 2006
March 2006
April 2006
May 2006
June 2006
July 2006
August 2006
September 2006
October 2006
November 2006
December 2006
January 2007
February 2007
March 2007
April 2007
May 2007
June 2007
July 2007
August 2007
September 2007
October 2007
November 2007
December 2007
January 2008
February 2008
March 2008
April 2008
May 2008
June 2008
July 2008
August 2008
September 2008
October 2008
November 2008
December 2008
January 2009
February 2009
March 2009
April 2009
May 2009
June 2009
July 2009
August 2009
September 2009
October 2009
November 2009
December 2009
January 2010
February 2010
March 2010
April 2010
May 2010
June 2010
July 2010
August 2010
September 2010
October 2010
November 2010
December 2010
January 2011
February 2011
March 2011
April 2011
May 2011
June 2011
July 2011
August 2011
September 2011
October 2011
November 2011
December 2011
January 2012
February 2012
March 2012
April 2012
May 2012
June 2012
July 2012
August 2012
September 2012
October 2012
November 2012
December 2012
January 2013
February 2013
March 2013
April 2013
May 2013