Share Hispanic or Latino, any race and Yearly precipitation
Where Share Hispanic or Latino, any race is higher, Yearly precipitation tends to be lower. The link is weak: -0.31 across 2,868 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 -0.08.
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
Share Hispanic or Latino, any race
The percentage of residents who are Hispanic or Latino, of any race. The Census asks about Hispanic origin separately from race. So this figure includes all races, and the race shares next to it count only people who are 'not Hispanic'.
Census ACS 5-year · ACS table B03002_012, divided by total population
Yearly precipitation
Rain plus melted snow and ice over the year, in inches, averaged across the whole county or state. It is the total of the twelve months, from NOAA's map of weather station readings.
NOAA NCEI nClimDiv · NOAA NCEI nClimDiv climdiv-pcpncy/pcpnst
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 share Hispanic or Latino, any race
| Share Hispanic or Latino, any race | Yearly precipitation | |
|---|---|---|
| Highest | ||
| Starr County, TX | 97.3% | 20.1 |
| Webb County, TX | 95.1% | 18.6 |
| Maverick County, TX | 94.9% | 12.7 |
| Zapata County, TX | 93.9% | 21.4 |
| Zavala County, TX | 92.6% | 15.7 |
| Lowest | ||
| Wirt County, WV | 0% | 39.3 |
| Norton city, VA | 0% | 37.9 |
| Highland County, VA | 0% | 36.1 |
| Loving County, TX | 0% | 5.32 |
| Sully County, SD | 0% | 21.8 |
By yearly precipitation
| Share Hispanic or Latino, any race | Yearly precipitation | |
|---|---|---|
| Highest | ||
| Petersburg Borough, AK | 8.93% | 205 |
| Juneau City and Borough, AK | 6.99% | 204 |
| Sitka City and Borough, AK | 6.85% | 192 |
| Ketchikan Gateway Borough, AK | 5.26% | 190 |
| Chugach Census Area, AK | 5.16% | 183 |
| Lowest | ||
| Imperial County, CA | 85.6% | 3.5 |
| Winkler County, TX | 61.8% | 4.32 |
| Ward County, TX | 55.4% | 4.32 |
| El Paso County, TX | 82.7% | 4.66 |
| Yuma County, AZ | 64.4% | 5.08 |
States
By share Hispanic or Latino, any race
| Share Hispanic or Latino, any race | Yearly precipitation | |
|---|---|---|
| Highest | ||
| New Mexico | 48.2% | 10.9 |
| California | 39.8% | 27.4 |
| Texas | 39.5% | 24 |
| Arizona | 31% | 11 |
| Nevada | 29.2% | 12.9 |
| Lowest | ||
| West Virginia | 2.02% | 40.1 |
| Maine | 2.08% | 54.1 |
| Vermont | 2.49% | 53.3 |
| Mississippi | 3.6% | 47.7 |
| Montana | 4.39% | 18.4 |
By yearly precipitation
| Share Hispanic or Latino, any race | Yearly precipitation | |
|---|---|---|
| Highest | ||
| Connecticut | 17.8% | 61.5 |
| Hawaii | 9.84% | 59 |
| Massachusetts | 12.9% | 57.7 |
| Rhode Island | 17.1% | 57.1 |
| New Hampshire | 4.52% | 56.3 |
| Lowest | ||
| New Mexico | 48.2% | 10.9 |
| Arizona | 31% | 11 |
| Nevada | 29.2% | 12.9 |
| Utah | 15.4% | 15 |
| North Dakota | 4.49% | 17.4 |
Metro areas
By share Hispanic or Latino, any race
| Share Hispanic or Latino, any race | Yearly precipitation | |
|---|---|---|
| Highest | ||
| Rio Grande City-Roma, TX | 97.3% | 20.1 |
| Laredo, TX | 95.1% | 18.6 |
| Eagle Pass, TX | 94.9% | 12.7 |
| Zapata, TX | 93.9% | 21.4 |
| McAllen-Edinburg-Mission, TX | 91.9% | 19.9 |
| Lowest | ||
| Selma, AL | 0.906% | 49.8 |
| St. Marys, PA | 0.997% | 41.2 |
| Gallipolis, OH | 1.03% | 37.3 |
| Elkins, WV | 1.08% | 47 |
| Pikeville, KY | 1.11% | 40.1 |
By yearly precipitation
| Share Hispanic or Latino, any race | Yearly precipitation | |
|---|---|---|
| Highest | ||
| Juneau, AK | 6.99% | 204 |
| Ketchikan, AK | 5.26% | 190 |
| Port Townsend, WA | 4.25% | 95.9 |
| Kapaa, HI | 10.5% | 91.9 |
| Newport, OR | 9.95% | 82.9 |
| Lowest | ||
| El Centro, CA | 85.6% | 3.5 |
| Yuma, AZ | 64.4% | 5.08 |
| Town of Pecos, TX | 84.8% | 5.62 |
| Las Cruces, NM | 67.6% | 5.79 |
| El Paso, TX | 82.6% | 5.8 |
Cities and towns — Yearly precipitation is not published for cities and towns
By share Hispanic or Latino, any race
| Share Hispanic or Latino, any race | Yearly precipitation | |
|---|---|---|
| Highest | ||
| Elsa city, TX | 100% | — |
| Salida del Sol Estates CDP, TX | 100% | — |
| Cayey zona urbana, PR | 100% | — |
| Coco comunidad, PR | 100% | — |
| Juncos zona urbana, PR | 100% | — |
| Lowest | ||
| Monroeville city, AL | 0% | — |
| Holtville CDP, AL | 0% | — |
| Halls CDP, TN | 0% | — |
| Treasure Lake CDP, PA | 0% | — |
| Wellston city, OH | 0% | — |
ZIP codes — Yearly precipitation is not published for ZIP codes
By share Hispanic or Latino, any race
| Share Hispanic or Latino, any race | Yearly precipitation | |
|---|---|---|
| Highest | ||
| ZIP 00723 (Patillas Municipio, PR) | 100% | — |
| ZIP 00731 (Ponce Municipio, PR) | 100% | — |
| ZIP 00782 (Comerío Municipio, PR) | 100% | — |
| ZIP 00952 (Sabana Seca comunidad, PR) | 100% | — |
| ZIP 00719 (Naranjito Municipio, PR) | 100% | — |
| Lowest | ||
| ZIP 04457 (Penobscot County, ME) | 0% | — |
| ZIP 04364 (Kennebec County, ME) | 0% | — |
| ZIP 04002 (York County, ME) | 0% | — |
| ZIP 03235 (Franklin city, NH) | 0% | — |
| ZIP 03070 (Hillsborough County, NH) | 0% | — |
Counties furthest from the pattern
Compared with the straight line that best fits all 2,880 counties: the five with far more yearly precipitation than their share Hispanic or Latino, any race would suggest, and the five with far less.
| Share Hispanic or Latino, any race | Yearly precipitation | |
|---|---|---|
| Above the line | ||
| Petersburg Borough, AK | 8.93% | 205 |
| Juneau City and Borough, AK | 6.99% | 204 |
| Sitka City and Borough, AK | 6.85% | 192 |
| Ketchikan Gateway Borough, AK | 5.26% | 190 |
| Chugach Census Area, AK | 5.16% | 183 |
| Below the line | ||
| Loving County, TX | 0% | 5.32 |
| Rolette County, ND | 1.06% | 10.9 |
| Liberty County, MT | 0% | 11.4 |
| Toole County, MT | 4.32% | 10.4 |
| Emery County, UT | 7.32% | 9.55 |
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 | -0.306 | 2,868 counties reporting both |
| After adjusting for density, income and education | -0.310 | the part of the link that is not just how urban, rich and educated a place is |
| Also adjusting for population size | -0.299 | size taken out as well as density |
| Also comparing only within each state | -0.250 | each county is compared only with others in its own state, so this is no longer a comparison between states |
| Giving bigger counties more weight | -0.400 | the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 284 equally weighted counties |
| Middle value inside single states | -0.081 | the link worked out inside each of 40 states with at least 20 counties reporting |
| Using ranks, after adjusting | -0.199 | 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 = 5.6e-65. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 2.8e-10. 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 3.8e-64.
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 +0.72 (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 share Hispanic or Latino, any race rose most, did yearly precipitationmove 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.
| Period | Counties | Change together | Within states | q |
|---|---|---|---|---|
| 2014–2019 the main test: each Census survey figure averages five years, and these two do not overlap; before the pandemic | 2,727 | -0.06 | -0.02 | 0.724 |
| 2019–2023 a repeat check: its two five-year survey figures both include 2019, and it covers the COVID years | 2,746 | -0.02 | -0.02 | 0.820 |
Over the main period, any link between the changes could easily be chance. How change is measured.
Related pairs
- Poverty rate and Share Hispanic or Latino, any race — +0.51
- Share Hispanic or Latino, any race and Catholic adherents — +0.47
- Share Hispanic or Latino, any race and Summer daily high — +0.43
- Yearly precipitation and Area in drought — -0.41
- Yearly precipitation and Weeks with half the area in drought — -0.40
- Yearly precipitation and Adult income rank of children raised poor here — -0.38
- Share Hispanic or Latino, any race and Economic connectedness — -0.37
- Yearly precipitation and Winter nightly low — +0.36
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 Share Hispanic or Latino, any race and Yearly precipitation