placestats

Summer daily high and Weeks with half the area in drought

Where Summer daily high is higher, Weeks with half the area in drought tends to be higher. The link is moderate: +0.40 across 3,120 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 39 states, the middle value of the link is +0.12.

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

Summer daily high

The average daily high temperature in June, July and August, in degrees Fahrenheit, across the whole county or state. It shows how hot summer afternoons are.

NOAA NCEI nClimDiv · NOAA NCEI nClimDiv climdiv-tmaxcy/tmaxst

Weeks with half the area in drought

The number of weeks in the year when at least half of the area was in moderate drought or worse on the weekly Drought Monitor map. Most years have 52 weekly maps and some have 53. Experts draw the maps from rain, soil, stream and crop data.

US Drought Monitor · USDM data services GetDroughtSeverityStatisticsByAreaPercent, statisticsType=1, D1

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 summer daily high

By weeks with half the area in drought

States

By summer daily high

Summer daily highWeeks with half the area in drought
Highest
Texas98.334
Louisiana95.721
Arizona94.813
Mississippi93.216
Oklahoma9323
Lowest
Alaska60.60
Maine73.70
Vermont75.30
New Hampshire75.50
Hawaii76.317

By weeks with half the area in drought

Summer daily highWeeks with half the area in drought
Highest
Kansas89.752
Iowa83.536
Nebraska8536
Texas98.334
Oregon80.230
Lowest
Connecticut79.60
Colorado80.30
Arkansas90.90
Alaska60.60
Vermont75.30
Metro areas — Weeks with half the area in drought is not published for metro areas

By summer daily high

Summer daily highWeeks with half the area in drought
Highest
El Centro, CA106—
Yuma, AZ106—
Phoenix-Mesa-Chandler, AZ104—
Zapata, TX103—
Eagle Pass, TX103—
Lowest
Juneau, AK54.9—
Anchorage, AK57.3—
Ketchikan, AK60.7—
Breckenridge, CO67.5—
Fairbanks-College, AK68.1—

Counties furthest from the pattern

Compared with the straight line that best fits all 3,143 counties: the five with far more weeks with half the area in drought than their summer daily high would suggest, and the five with far less.

Summer daily highWeeks with half the area in drought
Above the line
Deschutes County, OR78.652
Crook County, OR81.152
Flathead County, MT75.248
Jefferson County, OR82.552
Mora County, NM82.752
Below the line
Throckmorton County, TX99.82
Imperial County, CA1068
Sebastian County, AR92.80
Wheeler County, GA92.60
Crawford County, AR92.30

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+0.3213,120 counties reporting both
After adjusting for density, income and education+0.403the part of the link that is not just how urban, rich and educated a place is
Also adjusting for population size+0.403size taken out as well as density
Also comparing only within each state+0.132each county is compared only with others in its own state, so this is no longer a comparison between states
Giving bigger counties more weight+0.415the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 287 equally weighted counties
Middle value inside single states+0.121the link worked out inside each of 39 states with at least 20 counties reporting
Using ranks, after adjusting+0.371uses 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 = 7.7e-122. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 1.0e-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 7.3e-121.

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 +0.75 (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 summer daily high rose most, did weeks with half the area in droughtmove 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 pandemic3,143+0.22-0.040.679
2019–2023 a repeat check: its two five-year survey figures both include 2019, and it covers the COVID years3,143+0.48+0.100.338

Over the main period, any link between the changes could easily be chance. 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 Summer daily high and Weeks with half the area in drought