Environment score and Cloud cover
Where Environment score is higher, Cloud cover tends to be higher. The link is weak: +0.36 across 800 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.
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.
Loading every place…
What each measure is
Environment score
Air quality from monitors and the damage natural disasters are expected to do to buildings each year, flipped so higher is better. It covers only counties with an air monitor, about one in four. The county's own model of fine dust is left out, since it is fitted to the same monitors.
PlaceStats composite score · derived from 2 measures (AQS, NRI)
Cloud cover
The share of the sky covered by cloud, in percent, averaged over the whole year, night as well as day. NASA estimates it from weather satellites for squares of land about 60 miles across, so nearby counties often share a value. It starts in 2001, since the older satellites measure cloud differently. Cloud cover, clear days and sunlight come from the same satellite data, so they are not separate evidence about each other.
NASA POWER (Prediction Of Worldwide Energy Resources) · NASA POWER daily regional API, community RE, CLOUD_AMT
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 environment score
| Environment score | Cloud cover | |
|---|---|---|
| Highest | ||
| Wilson County, TX | 1.75 | 53.3% |
| Uinta County, WY | 1.67 | 55.8% |
| Karnes County, TX | 1.67 | 50.7% |
| Cook County, MN | 1.56 | 69% |
| Glacier County, MT | 1.44 | 61.2% |
| Lowest | ||
| Riverside County, CA | -3.07 | 44.9% |
| Hawaii County, HI | -2.95 | 52.4% |
| San Bernardino County, CA | -2.75 | 29.7% |
| Boise County, ID | -2.61 | 54.9% |
| Trinity County, CA | -2.53 | 48.1% |
By cloud cover
| Environment score | Cloud cover | |
|---|---|---|
| Highest | ||
| Juneau City and Borough, AK | 1.38 | 82.5% |
| Monroe County, NY | 0.485 | 76% |
| Wayne County, NY | 0.799 | 76% |
| Onondaga County, NY | 0.483 | 75% |
| Oswego County, NY | 0.737 | 75% |
| Lowest | ||
| Yuma County, AZ | -0.453 | 23.8% |
| La Paz County, AZ | -1.1 | 25.4% |
| Imperial County, CA | -1.68 | 26.2% |
| San Bernardino County, CA | -2.75 | 29.7% |
| Maricopa County, AZ | -1.16 | 30% |
States — Environment score is not published for states
By cloud cover
| Environment score | Cloud cover | |
|---|---|---|
| Highest | ||
| Alaska | — | 74.3% |
| Vermont | — | 69.3% |
| Maine | — | 64.9% |
| Michigan | — | 64.4% |
| Ohio | — | 63.9% |
| Lowest | ||
| Arizona | — | 30.7% |
| New Mexico | — | 39.2% |
| California | — | 41.7% |
| Nevada | — | 42.9% |
| Oklahoma | — | 47.6% |
Metro areas — Environment score is not published for metro areas
By cloud cover
| Environment score | Cloud cover | |
|---|---|---|
| Highest | ||
| Juneau, AK | — | 82.5% |
| Ketchikan, AK | — | 79.7% |
| Rochester, NY | — | 74.6% |
| Syracuse, NY | — | 74.5% |
| Houghton, MI | — | 74% |
| Lowest | ||
| Yuma, AZ | — | 23.8% |
| El Centro, CA | — | 26.2% |
| Phoenix-Mesa-Chandler, AZ | — | 30.2% |
| Lake Havasu City-Kingman, AZ | — | 31% |
| Tucson, AZ | — | 31.4% |
Counties furthest from the pattern
Compared with the straight line that best fits all 801 counties: the five with far more cloud cover than their environment score would suggest, and the five with far less.
| Environment score | Cloud cover | |
|---|---|---|
| Above the line | ||
| Juneau City and Borough, AK | 1.38 | 82.5% |
| Anchorage Municipality, AK | -0.0949 | 74% |
| Matanuska-Susitna Borough, AK | 0.0156 | 74% |
| Monroe County, NY | 0.485 | 76% |
| Coos County, NH | -0.42 | 71.4% |
| Below the line | ||
| Yuma County, AZ | -0.453 | 23.8% |
| Mohave County, AZ | 1.05 | 31% |
| Luna County, NM | 1.26 | 33.2% |
| Nye County, NV | 0.997 | 33.8% |
| La Paz County, AZ | -1.1 | 25.4% |
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.
Loading…
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 | +0.368 | 800 counties reporting both |
| After adjusting for density, income and education | +0.365 | the part of the link that is not just how urban, rich and educated a place is |
| Also adjusting for population size | +0.312 | size taken out as well as density |
| Also comparing only within each state | -0.025 | each 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 | +0.564 | the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 164 equally weighted counties |
| Middle value inside single states | +0.053 | the link worked out inside each of 14 states with at least 20 counties reporting |
| Using ranks, after adjusting | +0.381 | uses 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 = 1.6e-26. 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 6.6e-26.
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?
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
- Summer daily high and Cloud cover — -0.77
- Days of 90°F or hotter and Cloud cover — -0.69
- Average temperature and Cloud cover — -0.65
- Heating degree days and Cloud cover — +0.64
- Cooling degree days and Cloud cover — -0.63
- Freezing days and Cloud cover — +0.55
- Share Hispanic or Latino, any race and Cloud cover — -0.51
- Wet days and Cloud cover — +0.51
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 Environment score and Cloud cover