placestats

Heating degree days and Environment score

Where Heating degree days is higher, Environment score tends to be higher. The link is weak: +0.31 across 792 counties, on a scale from −1 (opposite) to +1 (in step). That figure compares places with the same population density, income and education, so those differences can't explain it.

Holds after adjusting

Every place, plotted

One dot for each place reporting both measures. Hover over or tap a dot to see its name and values. The thin line is the straight line that best fits the dots. The bold line, shown for counties, is the link after adjusting for density, income and education. A dot far from the lines is a place that does not follow the pattern.

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What each measure is

Heating degree days

A measure of how cold the year was, as a total over its days. A day whose average temperature is 50°F counts 15 heating degree days, the degrees it fell short of 65°F. A day at 65°F or warmer counts none. Homes often need heat on days below 65°F, so more degree days mean more heating weather. NOAA estimates them from its monthly temperatures for each county. A state's figure is the average of its counties, each weighted by its land area. Alaska and Hawaii are not covered.

NOAA NCEI nClimDiv · NOAA NCEI nClimDiv climdiv-hddccy, sum of the 12 months; states, counties averaged by land area

Environment score

Air quality from monitors and the damage natural disasters are expected to do to buildings each year, flipped so higher is better. It covers only counties with an air monitor, about one in four. The county's own model of fine dust is left out, since it is fitted to the same monitors.

PlaceStats composite score · derived from 2 measures (AQS, NRI)

Highest and lowest

Where each measure is highest and lowest among the places reporting both (2023), with the other measure beside it. This is shown for every size of place where both are published. Metro-area values are added up from their counties. A measure that cannot be added up across counties, such as a middle value (median), has no metro figure. Counts are shown per 1,000 residents, since raw totals would only list the largest places. Cities and towns and ZIP codes are shown where the Census survey or the CDC publishes them; most other sources stop at the county. They are shown for places of 5,000 residents or more, and only where the survey’s margin of error is small enough for the figure to be usable. The CDC publishes its health estimates for cities in a version adjusted for age, so places with older or younger people can be compared fairly, but not for ZIP codes.

Counties

By heating degree days

Heating degree daysEnvironment score
Highest
Sublette County, WY10,945-0.0495
Teton County, WY10,8550.0587
Jackson County, CO10,641-0.0834
Clear Creek County, CO10,302-1.98
Lincoln County, WY9,9880.0598
Lowest
Miami-Dade County, FL85-0.315
Broward County, FL108-0.616
Palm Beach County, FL167-0.105
Collier County, FL167-1.28
Martin County, FL200-0.942

By environment score

Heating degree daysEnvironment score
Highest
Wilson County, TX1,0671.75
Uinta County, WY9,5901.67
Karnes County, TX9941.67
Cook County, MN9,6651.56
Glacier County, MT8,3961.44
Lowest
Riverside County, CA1,722-3.07
San Bernardino County, CA2,373-2.75
Boise County, ID8,117-2.61
Trinity County, CA5,005-2.53
Carteret County, NC2,171-2.5
States — Environment score is not published for states

By heating degree days

Heating degree daysEnvironment score
Highest
North Dakota8,901—
Wyoming8,670—
Minnesota8,233—
Montana8,065—
Idaho8,000—
Lowest
Florida647—
Louisiana1,414—
Georgia1,879—
Mississippi1,888—
Texas1,901—
Metro areas — Environment score is not published for metro areas

By heating degree days

Heating degree daysEnvironment score
Highest
Breckenridge, CO11,117—
Jackson, WY-ID10,692—
Edwards, CO9,543—
Evanston, WY-UT9,512—
Cody, WY9,355—
Lowest
Key West-Key Largo, FL83—
Miami-Fort Lauderdale-West Palm Beach, FL122—
Naples-Marco Island, FL167—
Cape Coral-Fort Myers, FL218—
Port St. Lucie, FL219—

Counties furthest from the pattern

Compared with the straight line that best fits all 793 counties: the five with far more environment score than their heating degree days would suggest, and the five with far less.

Heating degree daysEnvironment score
Above the line
Wilson County, TX1,0671.75
Karnes County, TX9941.67
Norfolk city, VA2,5931.41
Ford County, KS4,4401.38
Luna County, NM2,9581.26
Below the line
Boise County, ID8,117-2.61
Riverside County, CA1,722-3.07
San Bernardino County, CA2,373-2.75
Trinity County, CA5,005-2.53
Clear Creek County, CO10,302-1.98

Two series, one county

Both measures over time for a county you pick. The two charts are stacked, so they share only the years along the bottom. You can pick from the thirty largest counties reporting both. This panel covers 2010–2024, and a measure published only once shows as a single dot.

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Every version of the link

Each row measures the same link, from −1 to +1, in a different way. If the rows mostly agree, the link does not depend on one choice of method.

Before adjusting for anything+0.287792 counties reporting both
After adjusting for density, income and education+0.306the part of the link that is not just how urban, rich and educated a place is
Also adjusting for population size+0.303size taken out as well as density
Also comparing only within each state+0.084each county is compared only with others in its own state, so this is no longer a comparison between states
Also holding winter sunshine equal+0.124compares counties that get the same sunlight in winter as well. If this is much weaker, part of the link is a difference between sunny and grey regions (more)
Giving bigger counties more weight+0.379the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 162 equally weighted counties
Middle value inside single states+0.250the link worked out inside each of 14 states with at least 20 counties reporting
Using ranks, after adjusting+0.293uses each county’s rank, not its value, so a few extreme counties cannot create the link

How much to believe it

Could it be chance?

The p-value is the chance of seeing a link this strong if there were really none. A value of 0.05 or less means the link is unlikely to be chance. Very small values are written in short form: 3.1e-16 means 0.00000000000000031, and the bigger the number after “e-”, the smaller the value. Treating every county as a separate case gives p = 1.3e-18. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 0.004. The site tested 32,131 pairs, and testing so many turns up some flukes. The q-value allows for that too. For this pair it is 4.4e-18.

Do nearby places look alike?

Moran’s I measures how much nearby places look alike: 0 means no map pattern, and higher means neighbours are more similar. For the part of each county that the adjustment leaves unexplained, it is +0.34 (p = 0.001). That unexplained part still clusters on the map. So some regional factor shared by both measures is not accounted for.

Did they change together?

Not measurable: at least one of these is published for too few of the years a change needs (2014–2019 or 2019–2023), or for too few counties in both.

Related pairs

Association only. Nothing here shows that either measure changes the other. This describes counties, not the people in them. Two measures going together across places does not mean the same people have both. How the US county data works · Explore Heating degree days and Environment score