Many young and mid-career Americans fall into the financial distress trap in rural communities.

John Fourier

2019-08-01 11:33:00 Thu ET

Many young and mid-career Americans fall into the financial distress trap in rural communities. A recent analysis of 25,800 zip codes for 99% of the U.S. population compares the consecutive periods from 2007-2011 to 2012-2016. The key reasons for U.S. rural distress include a lack of educational attainment, subpar mortgage affordability, unemployment, low income, and stagnant business investment. Many young Americans experience the catch-22 situation with disproportionate student debt, credit card debt, and mortgage delinquency etc. There is no clear path for these less fortunate young Americans to afford moving from the rural areas to more prosperous metropolitan areas. In the absence of high-skill job opportunities, rural communities remain economically subpar places of residence.

About 65% of the U.S. rural population lives east of the Mississippi River, and half of the rural residents are in the south. Education represents the faulty line between prosperous and economically subpar communities. Specifically, prosperous zip codes contain more than 27 million adults with tertiary education, whereas, there are fewer than 5 million adults with equivalent levels of educational attainment in economically subpar communities from Louisiana, New Mexico, and West Virginia to Alabama, Arkansas, and Mississippi. Economic inequality continues to be a key socioeconomic issue in America.

 


If any of our AYA Analytica financial health memos (FHM), blog posts, ebooks, newsletters, and notifications etc, or any other form of online content curation, involves potential copyright concerns, please feel free to contact us at service@ayafintech.network so that we can remove relevant content in response to any such request within a reasonable time frame.

Blog+More

Michael Woodford provides the theoretical foundations of monetary policy rules in ever more efficient financial markets.

Fiona Sydney

2023-09-07 11:30:00 Thursday ET

Michael Woodford provides the theoretical foundations of monetary policy rules in ever more efficient financial markets.

Michael Woodford provides the theoretical foundations of monetary policy rules in ever more efficient financial markets. Michael Woodford (2003)  

+See More

Senator Elizabeth Warren proposes breaking up key tech titans such as Facebook, Apple, Microsoft, Google, and Amazon (FAMGA).

Becky Berkman

2019-03-21 12:33:00 Thursday ET

Senator Elizabeth Warren proposes breaking up key tech titans such as Facebook, Apple, Microsoft, Google, and Amazon (FAMGA).

Senator Elizabeth Warren proposes breaking up key tech titans such as Facebook, Apple, Microsoft, Google, and Amazon (FAMGA). These tech titans have become

+See More

Americans continue to keep their financial New Year resolutions.

Jonah Whanau

2019-01-15 13:35:00 Tuesday ET

Americans continue to keep their financial New Year resolutions.

Americans continue to keep their financial New Year resolutions. First, Americans should save more money. Everyone needs a budget to ensure that key paychec

+See More

Berkeley macro economist Brad DeLong sees no good reasons for an imminent economic recession with mass unemployment and even depression.

Laura Hermes

2019-11-21 11:34:00 Thursday ET

Berkeley macro economist Brad DeLong sees no good reasons for an imminent economic recession with mass unemployment and even depression.

Berkeley macro economist Brad DeLong sees no good reasons for an imminent economic recession with mass unemployment and even depression. The current U.S. ec

+See More

The OECD projects global growth to decline from 3.2% to 2.9% in the current fiscal year 2019-2020.

Rose Prince

2019-10-29 13:36:00 Tuesday ET

The OECD projects global growth to decline from 3.2% to 2.9% in the current fiscal year 2019-2020.

The OECD projects global growth to decline from 3.2% to 2.9% in the current fiscal year 2019-2020. This global economic growth projection represents the slo

+See More

Most artificial intelligence applications cannot figure out the intricate nuances of natural language and facial recognition.

Fiona Sydney

2019-09-01 10:31:00 Sunday ET

Most artificial intelligence applications cannot figure out the intricate nuances of natural language and facial recognition.

Most artificial intelligence applications cannot figure out the intricate nuances of natural language and facial recognition. These intricate nuances repres

+See More