Where-To-Live Indicators

Look through our indicators on 20,000
US towns and you might learn . . .

  • The average cost per patient day in a South Dakota hospital was recently $985. In Washington State it was $2,696.
  • Amarillo, TX doesn't really have enough wind to generate low-cost electricity, but Port Angeles, WA has plenty.
  • In Hoboken, NJ most daily needs are within walking distance. Jackson, MS residents are car-dependent.
  • Sacramento's drought risk is rated "Extreme." Hartford's is "Negligible."
  • New Jersey’s state universities produce higher-earning graduates than state schools in Tennessee, by far.

It's where you live!   You can dodge many of the environmental, economic and political costs that face you.  Yes, your current community could be improved;  but it's tough to change a town to provide

- a job growth environment,
- more sunshine for solar power,
- secure access to safe water,
- low-cost healthcare,
- strong municipal finances,
- no flood risk,
- walkable neighborhoods, or
- a longer growing season.

If you really want to improve your family's costs, assets and wellbeing, choosing the right place to live can make a huge difference.

Frequently updated and improved, our Where-To-Live Indicators  show data on each town's potential to protect residents from energy and food price rises, weather-related costs, municipal fiscal pressures, education costs, and many other predicted challenges.

Scoring is based on published data from government and other research organizations, detailed in our Notes & Sources which also provide links to data sources and other useful sites.

Search by Zip Code or town name, then compare localities all across America, making comparisons side-by-side.

2 comments to Where-To-Live Indicators

  • NJJensen

    Hi. This is an interesting site. However, under my zip code 93455, the first paragraph contains some errors (2823 heating days?)Thank you for (mostly) helpful data.

    • David Stookey

      Thanks for your comment. Always delighted to find someone checking our data! There are several ways of calculating degree-day data, which can differ by, among other things, how many years are averaged and what base temperature is used. (We use 65 degrees.) So long as the degree-day recording is consistent from one weather station to another, we feel that our numbers work to let visitors compare towns accurately.

      If you check the Western Regional Climate Center (www.wrcc.dri.edu/cgi-bin/cliMAIN.pl?ca7940), you will see they calculate the long-term average heating degree days (from 65 degrees) in Santa Maria / Orcutt, CA at 2720, not far from the 2823 our source shows.

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