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Cancer other than skin cancer and Cooling degree days

Where Cancer other than skin cancer is higher, Cooling degree days tends to be lower. The link is moderate: -0.50 across 2,902 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 37 states, the middle value of the link is -0.31.

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

Cancer other than skin cancer

The estimated percentage of adults who have ever been told they had cancer other than skin cancer. It is adjusted so places with older or younger populations can be compared fairly. It is an estimate from a statistical model, not a direct count from a local survey.

CDC PLACES · PLACES CANCER, age-adjusted

Cooling degree days

A measure of how hot the year was, as a total over its days. A day whose average temperature is 80°F counts 15 cooling degree days, the degrees it rose above 65°F. A day at 65°F or cooler counts none. More cooling degree days mean more weather for air conditioning. 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-cddccy, sum of the 12 months; states, counties averaged by land area

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 cancer other than skin cancer

Cancer other than skin cancerCooling degree days
Highest
Nassau County, FL8%3,071
Grand Traverse County, MI8%359
Keweenaw County, MI8%130
Leelanau County, MI8%345
Livingston County, MI8%487
Lowest
Starr County, TX4.2%4,909
Maverick County, TX4.2%4,319
Zavala County, TX4.3%4,118
Zapata County, TX4.4%4,830
Webb County, TX4.4%4,405

By cooling degree days

Cancer other than skin cancerCooling degree days
Highest
Monroe County, FL7.4%4,995
Starr County, TX4.2%4,909
Hidalgo County, TX4.5%4,870
Miami-Dade County, FL5.1%4,834
Zapata County, TX4.4%4,830
Lowest
Summit County, CO7.6%0
San Juan County, CO7.6%0
Park County, CO7.7%0
Mineral County, CO7.9%0
Lake County, CO7%0
States — Cancer other than skin cancer is not published for states

By cooling degree days

Cancer other than skin cancerCooling degree days
Highest
Florida—3,667
Louisiana—3,100
Texas—3,063
Mississippi—2,553
Alabama—2,172
Lowest
Wyoming—240
Maine—243
Vermont—257
New Hampshire—298
Idaho—300
Metro areas

By cancer other than skin cancer

Cancer other than skin cancerCooling degree days
Highest
Brookings, SD8%705
Keene, NH8%349
Laconia, NH8%376
Spearfish, SD8%283
Traverse City, MI7.95%336
Lowest
Rio Grande City-Roma, TX4.2%4,909
Eagle Pass, TX4.2%4,319
Zapata, TX4.4%4,830
Town of Pecos, TX4.4%3,072
Laredo, TX4.4%4,405

By cooling degree days

Cancer other than skin cancerCooling degree days
Highest
Key West-Key Largo, FL7.4%4,995
Rio Grande City-Roma, TX4.2%4,909
McAllen-Edinburg-Mission, TX4.5%4,870
Zapata, TX4.4%4,830
Brownsville-Harlingen, TX4.6%4,730
Lowest
Breckenridge, CO7.49%0
Jackson, WY-ID7.5%17.3
Edwards, CO7.2%24
Port Townsend, WA7.7%31
Port Angeles, WA7.5%33
Cities and towns — Cooling degree days is not published for cities and towns

By cancer other than skin cancer

Cancer other than skin cancerCooling degree days
Highest
Pelican Bay CDP, FL8.6%—
Naples city, FL8.5%—
Sanibel city, FL8.5%—
Alpine city, UT8.5%—
Gulf Breeze city, FL8.4%—
Lowest
Rosemead city, CA3.6%—
Monterey Park city, CA3.7%—
South San Gabriel CDP, CA3.8%—
Waipahu CDP, HI3.8%—
El Monte city, CA3.9%—

Counties furthest from the pattern

Compared with the straight line that best fits all 2,920 counties: the five with far more cooling degree days than their cancer other than skin cancer would suggest, and the five with far less.

Cancer other than skin cancerCooling degree days
Above the line
Monroe County, FL7.4%4,995
Martin County, FL7.9%4,409
Collier County, FL7.5%4,605
Lee County, FL7.4%4,523
Pinellas County, FL7.7%4,242
Below the line
Mora County, NM5%360
San Francisco County, CA5.3%110
Rio Arriba County, NM5.1%284
San Mateo County, CA5.6%149
Bronx County, NY4.6%1,067

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-0.5502,902 counties reporting both
After adjusting for density, income and education-0.499the part of the link that is not just how urban, rich and educated a place is
Also adjusting for population size-0.497size taken out as well as density
Also comparing only within each state-0.294each county is compared only with others in its own state, so this is no longer a comparison between states
Also holding winter sunshine equal-0.153compares 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-0.262the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 261 equally weighted counties
Middle value inside single states-0.307the link worked out inside each of 37 states with at least 20 counties reporting
Using ranks, after adjusting-0.520uses 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 = 1.1e-182. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 0.000. 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 1.6e-181.

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 +0.80 (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?

The figures above compare counties at one moment. This asks a different question: where cancer other than skin cancer rose most, did cooling degree daysmove too? Each county’s change is compared with the average change in its own state. That takes out ups and downs that hit a whole region at once. Each change is the gap between two estimates that both contain some error. That error pulls these links towards zero, so a weak one is weak partly for that reason. The q column shows whether a link could be a fluke, allowing for the many pairs tested: 0.05 or less means it is unlikely to be chance.

PeriodCountiesChange togetherWithin statesq
2014–2019 the main test: each Census survey figure averages five years, and these two do not overlap; before the pandemic————
2019–2023 a repeat check: its two five-year survey figures both include 2019, and it covers the COVID years2,890+0.04+0.120.030

Not measurable over the main period, so only the second period is shown. How change is measured.

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 Cancer other than skin cancer and Cooling degree days