• curiouscat.com
  • About
  • Books
  • Glossary

    Categories

    • All
    • carnival (41)
    • chart (8)
    • Cool (35)
    • Credit Cards (45)
    • economic data (62)
    • Economics (439)
    • economy (126)
    • Financial Literacy (292)
    • Investing (324)
    • Personal finance (356)
    • Popular (43)
    • quote (194)
    • Real Estate (120)
    • Retirement (65)
    • Saving (90)
    • Stocks (158)
    • Taxes (51)
    • Tips (129)
    • Travel (7)

    Tags

    Asia banking bonds capitalism chart China commentary consumer debt Credit Cards credit crisis curiouscat debt economic data Economics economy employment energy entrepreneur Europe Financial Literacy government health care housing India interest rates Investing Japan John Hunter manufacturing markets micro-finance mortgage Personal finance Popular quote Real Estate regulation Retirement save money Saving spending money Stocks Taxes Tips USA

    Recently Posts

    • New Health Care Insurance Subsidies in the USA
    • Individual Stock Portfolio Investment Planning
    • Finding Great Investments Keeps Getting Harder
    • Huge Growth in USA Corporate Debt from 2005 to 2020
    • Retirement Portfolio Allocation for 2020
    • Tencent Gaming
    • Tucows: Building 3 Businesses With Strong Positive Cash Flow
    • The 20 Most Valuable Companies in the World – Jan 2019
    • 20 Most Popular Posts on the Curious Cat Investing and Economics Blog in 2018
    • An Inverted Yield Curve Predicts Recessions in the USA
  • Blogroll

    • Curious Cat Management Improvement Blog
    • Freakonomics
    • I Will Teach You to be Rich
    • Jubak Picks
  • Links

    • Articles on Investing
    • fool.com
    • Investing Books
    • Investment Dictionary
    • Leading Investors
    • Marketplace
    • Trickle Up
  • Subscribe

    • RSS Feed

    Curious Cat Kivans

    • Making a Difference

Investing and Economics Blog

In the USA More Education is Highly Correlated with More Wealth

This chart shows that the percentage of millionaire families by highest education level is dramatically different by education level. The data is looking at USA family income for household headed by a person over 40. For high school dropouts, fewer than 1% are millionaires; all families it is about 5%; high school graduates about 6%; 4 year college degree about 22% and graduate or professional degree about 38%.

Chart of wealth by education level in the USA

Interesting chart based on Federal Reserve data (via the Wall Street Journal)

While the costs of higher education in the USA have become crazy the evidence still suggests education is highly correlated to income. Numerous studies still show that the investment in education pays a high return. Of course, simple correlation isn’t sufficient to make that judgement but in other studies they have attempted to use more accurate measures of the value of education to life long earnings.

Related: The Time to Payback the Investment in a College Education in the USA Today is Nearly as Low as Ever, Surprisingly – Looking at the Value of Different College Degrees – Engineering Graduates Earned a Return on Their Investment In Education of 21%

The blog post with the chart, Why Wealth Inequality Is Way More Complicated Than Just Rich and Poor has other very interesting data. Go read the full post.

Average isn’t a very good measure for economic wealth data, is is skewed horribly by the extremely wealthy, median isn’t a perfect measure but it is much better. The post includes a chart of average wealth by age which is interesting though I think the $ amounts are largely worthless (due to average being so pointless). The interesting point is there is a pretty straight line climb to a maximum at 62 and then a decline that is about as rapid as the climb in wealth.

That decline is slow for a bit, dropping, but slowly until about 70 when it drops fairly quickly. It isn’t an amazing result but still interesting. It would be nice to see this with median levels and then averaged over a 20 year period. The chart they show tells the results for some point in time (it isn’t indicated) but doesn’t give you an idea if this is a consistent result over time or something special about the measurement at the time.

They also do have a chart showing absolute wealth data as median and average to show how distorted an average is. For example, median wealth for whites 55-64 and above 65 is about $280,000 and the average for both is about $1,000,000.

Related: Highest Paying Fields at Mid Career in USA: Engineering, Science and Math – Wealthiest 1% Continue Dramatic Gains Compared to Everyone Else – Correlation is Not Causation: “Fat is Catching” Theory Exposed

October 19th, 2015 John Hunter | 1 Comment | Tags: economic data, Financial Literacy, Personal finance

Comments

1 Comment so far

  1. Personal Finance Considerations for Going into Debt for Education | Freelance Lifestyle, Finance and Entrepreneurship Blog on September 6, 2017 3:34 pm

    […] As I wrote on my other blog: In the USA More Education is Highly Correlated with More Wealth. […]

Name (required)

Email (required)

Website

Speak your mind

« Using Customer Data To Grow Your Business
Nomadic Businesses in the Internet Age »
Copyright © Curious Cat Investing and Economics Blog

    Personal Finance

    • Credit Card Tips
    • IRAs
    • Investment Risks
    • Loan Terms
    • Saving for Retirement
  • Archives

      All Posts
    • March 2021
    • January 2021
    • August 2020
    • March 2020
    • February 2020
    • January 2020
    • May 2019
    • January 2019
    • December 2018
    • November 2018
    • October 2018
    • August 2018
    • May 2018
    • February 2018
    • January 2018
    • November 2017
    • October 2017
    • September 2017
    • August 2017
    • July 2017
    • May 2017
    • April 2017
    • March 2017
    • February 2017
    • January 2017
    • December 2016
    • November 2016
    • October 2016
    • September 2016
    • August 2016
    • July 2016
    • June 2016
    • May 2016
    • April 2016
    • March 2016
    • February 2016
    • January 2016
    • December 2015
    • November 2015
    • October 2015
    • September 2015
    • August 2015
    • July 2015
    • June 2015
    • May 2015
    • April 2015
    • March 2015
    • February 2015
    • January 2015
    • December 2014
    • November 2014
    • October 2014
    • September 2014
    • August 2014
    • June 2014
    • April 2014
    • March 2014
    • February 2014
    • January 2014
    • December 2013
    • November 2013
    • September 2013
    • August 2013
    • July 2013
    • June 2013
    • May 2013
    • April 2013
    • March 2013
    • February 2013
    • January 2013
    • December 2012
    • November 2012
    • October 2012
    • September 2012
    • August 2012
    • July 2012
    • June 2012
    • May 2012
    • April 2012
    • March 2012
    • February 2012
    • January 2012
    • December 2011
    • November 2011
    • October 2011
    • September 2011
    • August 2011
    • July 2011
    • June 2011
    • May 2011
    • April 2011
    • March 2011
    • February 2011
    • January 2011
    • December 2010
    • November 2010
    • October 2010
    • September 2010
    • August 2010
    • July 2010
    • June 2010
    • May 2010
    • April 2010
    • March 2010
    • February 2010
    • January 2010
    • December 2009
    • November 2009
    • October 2009
    • September 2009
    • August 2009
    • July 2009
    • June 2009
    • May 2009
    • April 2009
    • March 2009
    • February 2009
    • January 2009
    • December 2008
    • November 2008
    • October 2008
    • September 2008
    • August 2008
    • July 2008
    • June 2008
    • May 2008
    • April 2008
    • March 2008
    • February 2008
    • January 2008
    • December 2007
    • November 2007
    • October 2007
    • September 2007
    • August 2007
    • July 2007
    • June 2007
    • May 2007
    • April 2007
    • March 2007
    • February 2007
    • January 2007
    • December 2006
    • November 2006
    • October 2006
    • April 2006
    • March 2006
    • January 2006
    • December 2005
    • October 2005
    • July 2005
    • May 2005
    • April 2005
    • April 2004