placestats

Lack of reliable transportation and Aggravated assault rate

Where Lack of reliable transportation is higher, Aggravated assault rate tends to be higher. The link is weak: +0.39 across 1,632 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 27 states, the middle value of the link is +0.33.

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

Lack of reliable transportation

The estimated percentage of adults who lacked reliable transport for daily life in the past year. It is adjusted so places with older or younger populations can be compared fairly. It is an estimate from a statistical model, not a direct count from a local survey.

CDC PLACES · PLACES LACKTRPT, age-adjusted

Aggravated assault rate

Aggravated assaults in the year, per 100,000 residents, from the FBI. An aggravated assault is an attack with a weapon, or one that leaves someone badly hurt. Fights without a weapon or serious injury are not counted. Agencies that report far fewer of these attacks than robberies are left out, since they did not report them in the usual way. It counts only crimes reported to police or found by them, so crimes nobody reports are missing. For a state, the figure is the FBI's estimate, which fills in for police agencies that did not report. For a county, it is only what the agencies reported, and it is shown only where agencies that reported for all 12 months serve at least 90% of the people who live there.

FBI Uniform Crime Reporting program (Crime Data Explorer) · FBI Crime Data Explorer: states, estimated_crimes aggravated_assault; counties, Return A master file, actual offenses

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 lack of reliable transportation

Lack of reliable transportationAggravated assault rate
Highest
McKinley County, NM24%373
Sioux County, ND24%27.4
East Carroll Parish, LA23.5%455
Tunica County, MS22.1%492
Greene County, AL22.1%246
Lowest
Falls Church city, VA4.1%48.1
Arlington County, VA4.7%148
Delaware County, OH4.8%69.8
Hamilton County, IN4.8%61.3
Summit County, UT4.9%94.1

By aggravated assault rate

Lack of reliable transportationAggravated assault rate
Highest
Crittenden County, AR14.8%1,500
Orangeburg County, SC14.5%1,274
Robeson County, NC17.6%1,219
St. Francis County, AR16.6%1,202
Pulaski County, AR10.6%1,123
Lowest
Menominee County, WI15.7%0
Highland County, VA6.5%0
Cimarron County, OK8%0
Towner County, ND8.7%0
Steele County, ND6.7%0
States — Lack of reliable transportation is not published for states

By aggravated assault rate

Lack of reliable transportationAggravated assault rate
Highest
New Mexico—608
Alaska—527
Tennessee—514
Arkansas—500
District of Columbia—455
Lowest
Maine—56.8
New Hampshire—59.5
Connecticut—83.8
Rhode Island—106
Wyoming—123
Metro areas

By lack of reliable transportation

Lack of reliable transportationAggravated assault rate
Highest
Gallup, NM24%373
Selma, AL17.9%611
Lumberton, NC17.6%1,219
Forrest City, AR16.6%1,202
Farmington, NM15.9%554
Lowest
Heber, UT5.12%99.9
Madison, WI5.81%157
Bismarck, ND5.83%173
Pella, IA5.9%144
Kill Devil Hills, NC5.9%234

By aggravated assault rate

Lack of reliable transportationAggravated assault rate
Highest
Orangeburg, SC14.5%1,274
Lumberton, NC17.6%1,219
Forrest City, AR16.6%1,202
Memphis, TN-MS-AR11.4%1,137
Albuquerque, NM10.1%933
Lowest
Quincy, IL-MO7.9%0
Lexington, NE9.27%0
Columbus, IN7.2%0.501
Frankfort, IN8.5%15.3
Angola, IN7.1%20.3
Cities and towns — Aggravated assault rate is not published for cities and towns

By lack of reliable transportation

Lack of reliable transportationAggravated assault rate
Highest
Benton Harbor city, MI27%—
Tallulah city, LA26.6%—
East Bakersfield CDP, CA26.2%—
Buena Vista CDP, MI26%—
Yazoo City city, MS25.9%—
Lowest
Difficult Run CDP, VA3.4%—
Great Falls CDP, VA3.5%—
Little Silver borough, NJ3.5%—
Scarsdale village, NY3.6%—
Fair Haven borough, NJ3.6%—

Counties furthest from the pattern

Compared with the straight line that best fits all 1,635 counties: the five with far more aggravated assault rate than their lack of reliable transportation would suggest, and the five with far less.

Lack of reliable transportationAggravated assault rate
Above the line
Crittenden County, AR14.8%1,500
Orangeburg County, SC14.5%1,274
Pulaski County, AR10.6%1,123
St. Louis city, MO11.6%1,062
Bernalillo County, NM10%988
Below the line
Sioux County, ND24%27.4
Rolette County, ND17.7%59.7
Menominee County, WI15.7%0
Claiborne Parish, LA19.8%161
Glacier County, MT20%170

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+0.4601,632 counties reporting both
After adjusting for density, income and education+0.391the part of the link that is not just how urban, rich and educated a place is
Also adjusting for population size+0.376size taken out as well as density
Also comparing only within each state+0.300each county is compared only with others in its own state, so this is no longer a comparison between states
Giving bigger counties more weight+0.458the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 161 equally weighted counties
Middle value inside single states+0.325the link worked out inside each of 27 states with at least 20 counties reporting
Using ranks, after adjusting+0.403uses 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-60. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 8.6e-8. The site tested 29,403 pairs, and testing so many turns up some flukes. The q-value allows for that too. For this pair it is 1.2e-59.

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 +0.23 (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 Lack of reliable transportation and Aggravated assault rate