placestats

Returns claiming charitable contributions and Winter daily sunlight

Where Returns claiming charitable contributions is higher, Winter daily sunlight tends to be higher. The link is weak: +0.34 across 3,121 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 40 states, the middle value of the link is -0.06.

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

Returns claiming charitable contributions

The percentage of tax returns claiming a deduction for gifts to charity. Only people who itemize their deductions can claim it, and the 2017 tax law cut their number roughly in half. So this tracks who finds itemizing worth it as much as who gives.

IRS Statistics of Income · IRS SOI N19700 / N1

Winter daily sunlight

The average amount of sunlight reaching the ground each day in winter, in kilowatt-hours per square metre. Winter here means December of the year before, then January and February. So the winter of 2024 to 2025 is listed under 2025. Winter light is lower the farther north a place is, since the sun is low and days are short, and lower where winters are cloudy. NASA estimates it from weather satellites for squares of land about 60 miles across.

NASA POWER (Prediction Of Worldwide Energy Resources) · NASA POWER daily regional API, community RE, ALLSKY_SFC_SW_DWN

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 returns claiming charitable contributions

Returns claiming charitable contributionsWinter daily sunlight
Highest
Charles County, MD23.8%2.25
Marin County, CA22.5%2.6
Prince George's County, MD21.7%2.25
Falls Church city, VA21%2.22
Morgan County, UT20.9%2.42
Lowest
San Juan County, CO0%2.87
Mineral County, CO0%3.21
Kiowa County, CO0%2.78
Jackson County, CO0%2.76
Hinsdale County, CO0%2.8

By winter daily sunlight

Returns claiming charitable contributionsWinter daily sunlight
Highest
Maui County, HI8.6%4.42
Monroe County, FL8.53%4.32
Hawaii County, HI5.77%4.32
Kauai County, HI6.72%4.27
Honolulu County, HI8.76%4.26
Lowest
North Slope Borough, AK2.22%0.125
Northwest Arctic Borough, AK0%0.195
Nome Census Area, AK1.12%0.256
Fairbanks North Star Borough, AK2.61%0.303
Yukon-Koyukuk Census Area, AK0%0.317
States

By returns claiming charitable contributions

Returns claiming charitable contributionsWinter daily sunlight
Highest
District of Columbia15.7%2.22
Maryland15.6%2.17
California11.8%2.87
Utah11.2%2.39
Virginia10.4%2.34
Lowest
West Virginia2.33%2.01
North Dakota3.29%2.07
South Dakota3.47%2.23
Alaska3.76%0.428
Vermont3.86%1.5

By winter daily sunlight

Returns claiming charitable contributionsWinter daily sunlight
Highest
Hawaii8.21%4.28
Florida6.02%3.79
Arizona6.82%3.49
New Mexico4.21%3.34
Texas6.05%3.02
Lowest
Alaska3.76%0.428
Washington8.33%1.25
Oregon8.33%1.5
Vermont3.86%1.5
Michigan4.49%1.55
Metro areas

By returns claiming charitable contributions

Returns claiming charitable contributionsWinter daily sunlight
Highest
Heber, UT17.8%2.33
Washington-Arlington-Alexandria, DC-VA-MD-WV16.9%2.2
San Francisco-Oakland-Fremont, CA15.4%2.6
Lexington Park, MD15.2%2.25
Provo-Orem-Lehi, UT14.9%2.33
Lowest
Zapata, TX0.551%3.78
Deming, NM0.978%3.75
St. Marys, PA1.1%1.68
Newport, TN1.15%2.37
Warren, PA1.17%1.59

By winter daily sunlight

Returns claiming charitable contributionsWinter daily sunlight
Highest
Kahului-Wailuku, HI8.6%4.42
Key West-Key Largo, FL8.53%4.32
Hilo-Kailua, HI5.77%4.32
Kapaa, HI6.72%4.27
Urban Honolulu, HI8.76%4.26
Lowest
Fairbanks-College, AK2.61%0.303
Anchorage, AK4.68%0.433
Juneau, AK4.23%0.528
Ketchikan, AK3.07%0.614
Port Townsend, WA6.9%1.13

Counties furthest from the pattern

Compared with the straight line that best fits all 3,143 counties: the five with far more winter daily sunlight than their returns claiming charitable contributions would suggest, and the five with far less.

Returns claiming charitable contributionsWinter daily sunlight
Above the line
Maui County, HI8.6%4.42
Hawaii County, HI5.77%4.32
Monroe County, FL8.53%4.32
Presidio County, TX0.865%4.17
Kauai County, HI6.72%4.27
Below the line
North Slope Borough, AK2.22%0.125
Northwest Arctic Borough, AK0%0.195
Nome Census Area, AK1.12%0.256
Fairbanks North Star Borough, AK2.61%0.303
Southeast Fairbanks Census Area, AK2.11%0.347

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+0.1003,121 counties reporting both
After adjusting for density, income and education+0.343the part of the link that is not just how urban, rich and educated a place is
Also adjusting for population size+0.342size taken out as well as density
Also comparing only within each state+0.010each county is compared only with others in its own state, so this is no longer a comparison between states
Also holding winter sunshine equal—compares 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+0.325the 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-0.056the link worked out inside each of 40 states with at least 20 counties reporting
Using ranks, after adjusting+0.429uses 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 = 8.5e-87. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 5.2e-7. 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 7.9e-86.

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 +0.89 (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 returns claiming charitable contributions rose most, did winter daily sunlightmove 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 pandemic3,143-0.06+0.000.988
2019–2023 a repeat check: its two five-year survey figures both include 2019, and it covers the COVID years3,143+0.18+0.010.843

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 Returns claiming charitable contributions and Winter daily sunlight