5 Poorest counties in Pennsylvania


These are the five counties with the lowest median net worth in Pennsylvania.

#5 Fayette County

Centered around Uniontown, this county isn’t what it used to be during the peak of the coal mining industry. Median household income is only about $50,000. The highest paying jobs are in the mining industry, but even those jobs only pay about $70k.

#4 Cambria County

The most common job type in this county is a non-management office job in the healthcare or social services industry.

#3 Potter County

Sitting along the New York border, Potter has a median household income of less than $49,000 with most people working in manufacturing or healthcare jobs.

#2 Forest County

The most common jobs here are non-management office jobs in healthcare or government, and about a quarter of households make under $25,000 a year.

#1 Cameron County

With a population of less than 5,000 people, Cameron is both the least populated county and the poorest county in Pennsylvania. Median household income is barely over $40,000.

If you’re looking for real estate investment opportunities in tax-privileged, subsidized, and demographically strong areas, reach out to me through the form below! I’ve helped many investors find undervalued but growing areas to invest in, and I can do the same for you anywhere in the U.S. I can even help you find opportunity zone investments, investments subsidized by local governments, and more.

Ricky Nave

In college, Ricky studied physics & math, won a prestigious research competition hosted by Oak Ridge National Laboratory, started several small businesses including an energy chewing gum business and a computer repair business, and graduated with a thesis in algebraic topology. After graduating, Ricky attended grad school at Duke University in the mathematics PhD program where he worked on quantum algorithms & non-Euclidean geometry models for flexible proteins. He also worked in cybersecurity at Los Alamos during this time before eventually dropping out of grad school to join a startup working on formal semantic modeling for legal documents. Finally, he left that startup to start his own in the finance & crypto space. Now, he helps entrepreneurs pay less capital gains tax.

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