placestats

Share White, not Hispanic and Safety score

Where Share White, not Hispanic is higher, Safety score tends to be higher. The link is weak: +0.38 across 2,382 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 36 states, the middle value of the link is +0.28.

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

Share White, not Hispanic

The percentage of residents who are White alone and not Hispanic or Latino. It comes from a table that sorts people by both race and Hispanic origin, so nobody is counted twice. The eight race and ethnicity shares here add up to exactly 100% in every county.

Census ACS 5-year · ACS table B03002_003, divided by total population

Safety score

Deaths from violence and injury (guns, crashes and overdoses), flipped so higher is safer. Homicide, suicide, drunk-driving and total injury deaths are left out, since they would count the same deaths twice. Gun deaths already include most homicides and suicides, and injury deaths include all four. Property crime reported to police (burglary and theft) is in it too. Violent crime is left out, since both crime rates are worked out over the same count of residents.

PlaceStats composite score · derived from 5 measures (BRFSS, CHR, UCR)

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 White, not Hispanic

Share White, not HispanicSafety score
Highest
Magoffin County, KY97.6%-0.986
Dickenson County, VA97.6%-1.59
Holmes County, OH97.4%1.04
Boone County, WV97.2%-0.581
Clay County, WV97%-3.03
Lowest
Starr County, TX2.15%0.773
Maverick County, TX2.84%0.369
Webb County, TX3.57%0.56
Hidalgo County, TX6.08%0.526
Zavala County, TX6.11%0.446

By safety score

Share White, not HispanicSafety score
Highest
Somerset County, NJ50.6%1.21
Queens County, NY23.6%1.21
Carver County, MN86.1%1.19
Le Sueur County, MN89.7%1.17
Centre County, PA83.5%1.16
Lowest
Phillips County, AR33.2%-4.96
Todd County, SD8.12%-4.82
Oglala Lakota County, SD6.63%-4.61
Wilcox County, AL27.5%-4.61
McDowell County, WV86.7%-4.3
States

By share White, not Hispanic

Share White, not HispanicSafety score
Highest
Maine90.6%0.254
Vermont90.6%0.422
West Virginia90.2%-0.43
New Hampshire87.5%-0.156
Montana84.1%-0.418
Lowest
Hawaii21.1%0.854
California34.6%0.739
New Mexico36.5%-0.263
District of Columbia36.6%-0.489
Texas39.9%0.482

By safety score

Share White, not HispanicSafety score
Highest
Minnesota76.7%0.93
Rhode Island69.1%0.929
New Jersey51.9%0.859
Utah75.7%0.858
Hawaii21.1%0.854
Lowest
Mississippi55.4%-0.751
Missouri76.8%-0.591
District of Columbia36.6%-0.489
Louisiana56.2%-0.446
West Virginia90.2%-0.43
Metro areas

By share White, not Hispanic

Share White, not HispanicSafety score
Highest
Pikeville, KY95.3%0.0461
Greenville, OH95.1%0.777
Effingham, IL94.9%0.789
Warren, PA94.9%0.821
Wapakoneta, OH94.8%0.997
Lowest
Rio Grande City-Roma, TX2.15%0.873
Eagle Pass, TX2.84%0.253
Laredo, TX3.57%0.676
McAllen-Edinburg-Mission, TX6.08%0.542
Gallup, NM8.01%-0.649

By safety score

Share White, not HispanicSafety score
Highest
Jasper, IN87.4%1.41
Petoskey, MI89.3%1.4
State College, PA83.5%1.38
Lewisburg, PA86.1%1.37
Owatonna, MN84.3%1.36
Lowest
Greenwood, MS32.1%-4.26
Greenville, MS24.1%-3.93
Lumberton, NC23.6%-3.67
Memphis, TN-MS-AR40.9%-3.17
Española, NM14.1%-2.61
Cities and towns — Safety score is not published for cities and towns

By share White, not Hispanic

Share White, not HispanicSafety score
Highest
Treasure Lake CDP, PA99.2%—
Litchfield city, IL98.8%—
Cicero town, IN98.2%—
East Harwich CDP, MA98.1%—
Wellston city, OH98.1%—
Lowest
Mecca CDP, CA0%—
Earlimart CDP, CA0%—
Yabucoa zona urbana, PR0%—
San Lorenzo zona urbana, PR0%—
San Isidro comunidad, PR0%—
ZIP codes — Safety score is not published for ZIP codes

By share White, not Hispanic

Share White, not HispanicSafety score
Highest
ZIP 62056 (Montgomery County, IL)99%—
ZIP 47558 (Daviess County, IN)98.9%—
ZIP 47452 (Orange County, IN)98.7%—
ZIP 44627 (Holmes County, OH)98.6%—
ZIP 24609 (Tazewell County, VA)98.5%—
Lowest
ZIP 00952 (Sabana Seca comunidad, PR)0%—
ZIP 00782 (Comerío Municipio, PR)0%—
ZIP 00780 (Ponce Municipio, PR)0%—
ZIP 00731 (Ponce Municipio, PR)0%—
ZIP 00723 (Patillas Municipio, PR)0%—

Counties furthest from the pattern

Compared with the straight line that best fits all 2,382 counties: the five with far more safety score than their share White, not Hispanic would suggest, and the five with far less.

Share White, not HispanicSafety score
Above the line
Queens County, NY23.6%1.21
Starr County, TX2.15%0.773
Kings County, NY36.2%1.06
Somerset County, NJ50.6%1.21
Webb County, TX3.57%0.56
Below the line
McDowell County, WV86.7%-4.3
Phillips County, AR33.2%-4.96
Wilcox County, AL27.5%-4.61
Todd County, SD8.12%-4.82
Oglala Lakota County, SD6.63%-4.61

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+0.3512,382 counties reporting both
After adjusting for density, income and education+0.379the part of the link that is not just how urban, rich and educated a place is
Also adjusting for population size+0.389size taken out as well as density
Also comparing only within each state+0.302each county is compared only with others in its own state, so this is no longer a comparison between states
Giving bigger counties more weight+0.241the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 278 equally weighted counties
Middle value inside single states+0.277the link worked out inside each of 36 states with at least 20 counties reporting
Using ranks, after adjusting+0.338uses 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 = 2.5e-82. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 0.000. The site tested 29,646 pairs, and testing so many turns up some flukes. The q-value allows for that too. For this pair it is 2.2e-81.

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 +0.29 (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

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 White, not Hispanic and Safety score