placestats

Winter nightly low and Health score

Where Winter nightly low is higher, Health score tends to be lower. The link is weak: -0.36 across 2,933 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. It holds inside states too. Measured separately within each of 38 states, the middle value of the link is -0.01.

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

Winter nightly low

The average nightly low in winter, in degrees Fahrenheit, across the whole county or state. Winter here means December of the year before, then January and February. So the winter of 2024 to 2025 is listed under 2025.

NOAA NCEI nClimDiv · NOAA NCEI nClimDiv climdiv-tmincy/tminst

Health score

One number for a county's health. It averages illness, health habits, preventive care and death rates, each put on the same scale and turned so higher is better. Twenty-six of its thirty measures are CDC PLACES estimates from a statistical model. So measures are averaged within each publisher first, and PLACES counts once, not twenty-six times.

PlaceStats composite score · derived from 41 measures (BRFSS, CDC, CHR)

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 winter nightly low

By health score

States

By winter nightly low

Winter nightly lowHealth score
Highest
Hawaii57.40.896
Florida52.20.163
Louisiana46.5-1.24
Mississippi42.5-1.24
Alabama41.9-0.988
Lowest
Alaska1.5-0.46
North Dakota2.470.194
Minnesota5.270.688
Wyoming9.07-0.111
South Dakota9.3-0.179

By health score

Winter nightly lowHealth score
Highest
Hawaii57.40.896
Massachusetts250.83
Connecticut26.10.789
New Jersey29.40.766
Minnesota5.270.688
Lowest
West Virginia28.6-1.69
Louisiana46.5-1.24
Mississippi42.5-1.24
Arkansas36.6-0.993
Alabama41.9-0.988
Metro areas

By winter nightly low

Winter nightly lowHealth score
Highest
Urban Honolulu, HI661.05
Key West-Key Largo, FL63.20.533
Kapaa, HI620.793
Kahului-Wailuku, HI61.70.721
Miami-Fort Lauderdale-West Palm Beach, FL60.90.175
Lowest
Fairbanks-College, AK-4.10.224
Grand Forks, ND-MN0.4080.653
Bemidji, MN1.530.0641
Fargo, ND-MN1.590.749
Jamestown, ND1.70.946

By health score

Winter nightly lowHealth score
Highest
Los Alamos, NM17.51.76
Breckenridge, CO5.621.5
Bridgeport-Stamford-Danbury, CT26.71.48
Boulder, CO15.11.47
Heber, UT11.61.46
Lowest
Zapata, TX51.9-1.95
Lumberton, NC39.2-1.77
Minden, LA41.6-1.73
Cleveland, MS40.9-1.68
Durant, OK36.6-1.67

Counties furthest from the pattern

Compared with the straight line that best fits all 2,955 counties: the five with far more health score than their winter nightly low would suggest, and the five with far less.

Winter nightly lowHealth score
Above the line
Manassas Park city, VA321.88
Pitkin County, CO8.32.09
San Mateo County, CA41.11.47
Marin County, CA41.81.43
Honolulu County, HI661
Below the line
Kusilvak Census Area, AK3.8-3.31
Northwest Arctic Borough, AK-6-2.73
Oglala Lakota County, SD14.3-3.05
Todd County, SD12.9-2.84
Buffalo County, SD7.93-2.51

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-0.3372,933 counties reporting both
After adjusting for density, income and education-0.359the part of the link that is not just how urban, rich and educated a place is
Also adjusting for population size-0.359size taken out as well as density
Also comparing only within each state-0.045each county is compared only with others in its own state, so this is no longer a comparison between states
Giving bigger counties more weight-0.210the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 264 equally weighted counties
Middle value inside single states-0.012the link worked out inside each of 38 states with at least 20 counties reporting
Using ranks, after adjusting-0.351uses 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 = 5.9e-90. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 7.4e-7. The site tested 24,090 pairs, and testing so many turns up some flukes. The q-value allows for that too. For this pair it is 4.8e-89.

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 +0.32 (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 Winter nightly low and Health score