placestats

Returns reporting unemployment compensation and Winter nightly low

Where Returns reporting unemployment compensation is higher, Winter nightly low tends to be lower. The link is weak: -0.30 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 40 states, the middle value of the link is -0.14.

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 reporting unemployment compensation

The percentage of tax returns reporting unemployment benefits during the year.

IRS Statistics of Income · IRS SOI N02300 / N1

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

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 reporting unemployment compensation

Returns reporting unemployment compensationWinter nightly low
Highest
Colusa County, CA19.7%35.7
Imperial County, CA17.4%44.5
Tulare County, CA13%29.7
Calhoun County, WV12.2%29.1
Clearwater County, MN11.8%1.9
Lowest
Washington County, CO0%12.6
Sedgwick County, CO0%13.6
San Juan County, CO0%6.87
Phillips County, CO0%13.7
Mineral County, CO0%5.57

By winter nightly low

Returns reporting unemployment compensationWinter nightly low
Highest
Honolulu County, HI2.64%66
Monroe County, FL0.569%63.2
Miami-Dade County, FL0.796%62.2
Kauai County, HI3.01%62
Maui County, HI10.3%61.7
Lowest
North Slope Borough, AK1.58%-13.1
Yukon-Koyukuk Census Area, AK8.07%-7.5
Southeast Fairbanks Census Area, AK4.53%-6.8
Northwest Arctic Borough, AK7.34%-6
Fairbanks North Star Borough, AK2.69%-4.1
States

By returns reporting unemployment compensation

Returns reporting unemployment compensationWinter nightly low
Highest
Rhode Island6.9%27.5
Massachusetts6.24%25
Connecticut6.02%26.1
California5.75%33.6
Washington5.55%24.5
Lowest
Florida0.913%52.2
North Carolina0.958%36
Alabama0.986%41.9
Mississippi1.17%42.5
Nebraska1.19%14.6

By winter nightly low

Returns reporting unemployment compensationWinter nightly low
Highest
Hawaii3.6%57.4
Florida0.913%52.2
Louisiana1.34%46.5
Mississippi1.17%42.5
Alabama0.986%41.9
Lowest
Alaska3%1.5
North Dakota2.18%2.47
Minnesota4.39%5.27
Wyoming2.19%9.07
South Dakota1.2%9.3
Metro areas

By returns reporting unemployment compensation

Returns reporting unemployment compensationWinter nightly low
Highest
El Centro, CA17.4%44.5
Visalia, CA13%29.7
Yuma, AZ11.5%41.8
Merced, CA11.5%38.5
Kahului-Wailuku, HI10.3%61.7
Lowest
Boone, NC0.454%30.2
Washington, IN0.515%28.9
Hays, KS0.525%17.8
Arcadia, FL0.554%53.6
Key West-Key Largo, FL0.569%63.2

By winter nightly low

Returns reporting unemployment compensationWinter nightly low
Highest
Urban Honolulu, HI2.64%66
Key West-Key Largo, FL0.569%63.2
Kapaa, HI3.01%62
Kahului-Wailuku, HI10.3%61.7
Miami-Fort Lauderdale-West Palm Beach, FL0.868%60.9
Lowest
Fairbanks-College, AK2.69%-4.1
Grand Forks, ND-MN2.67%0.408
Bemidji, MN5.97%1.53
Fargo, ND-MN2.56%1.59
Jamestown, ND2.23%1.7

Counties furthest from the pattern

Compared with the straight line that best fits all 3,142 counties: the five with far more winter nightly low than their returns reporting unemployment compensation would suggest, and the five with far less.

Returns reporting unemployment compensationWinter nightly low
Above the line
Maui County, HI10.3%61.7
Honolulu County, HI2.64%66
Imperial County, CA17.4%44.5
Kauai County, HI3.01%62
Starr County, TX8.45%53.4
Below the line
North Slope Borough, AK1.58%-13.1
Towner County, ND0%-1.57
Steele County, ND0%-0.633
Griggs County, ND0%-0.433
Southeast Fairbanks Census Area, AK4.53%-6.8

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-0.2193,120 counties reporting both
After adjusting for density, income and education-0.302the part of the link that is not just how urban, rich and educated a place is
Also adjusting for population size-0.318size taken out as well as density
Also comparing only within each state-0.004each county is compared only with others in its own state, so this is no longer a comparison between states
Giving bigger counties more weight-0.273the 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-0.138the link worked out inside each of 40 states with at least 20 counties reporting
Using ranks, after adjusting-0.385uses 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 = 7.6e-67. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 0.016. 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 5.2e-66.

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 returns reporting unemployment compensation rose most, did winter nightly lowmove 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 pandemic3,142+0.08-0.060.428
2019–2023 a repeat check: its two five-year survey figures both include 2019, and it covers the COVID years3,142-0.05+0.000.981

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 reporting unemployment compensation and Winter nightly low