Drunk drivers are bad drivers, and some cities have far more of them than others. Not all locales publish reliable data on drunk driving fatalities, so we’ll turn to the Century Council, an association of distillers organized to combat drunk driving. The group published the number of fatalities from alcohol-related car accidents in 2011. The data are, unfortunately, broken down by state rather than city. So, for our purposes, the sins of the state will be visited upon the cities. (New York City has reliable data, so we can use city-specific data in that instance.) We can’t adjust the statewide data for mileage, because our mileage numbers relate only to cities themselves. So DWI fatalities will have to be computed per capita, unadjusted for how many miles residents of a city drive.
Pedestrian strikes are another key metric. For this indicator we turn to the CDC’s WONDER, a searchable database of morbidity and mortality statistics. It’s a priceless epidemiological tool as well as a bottomless source of trivia. The most granular data on pedestrian injuries and deaths is by county.
You might object to the use of pedestrian injuries as a metric of driver incompetence, because some cities have far more pedestrians than others. That’s a fair point, but consider New York City. It is, by far, the most walked city in the United States. Two-thirds of New Yorkers either walk or use public transit to get to work. According to the website WalkScore.com, only 2 percent of New Yorkers live in neighborhoods where cars are necessary. While every pedestrian strike is a tragedy, there are fewer in New York than you might expect. Miami-Dade County, a significantly less walked city, had 20 percent more pedestrian strikes per mile driven between 2006 and 2010 than New York.
A note on traffic tickets, which we won’t include in our rankings. There are all kinds of driving misdeeds that don’t show up in accident and fatality statistics, and some of them are frustrating to other drivers—failure to keep left, following too closely, failure to signal, etc. Unfortunately, traffic ticket data is hard to find. New York publishes ticket data by county, and Washington, D.C. is occasionally forced to release information through FOIA requests. But for the most part, cities don’t want citizens to know how many tickets they give out, because fluctuations will be viewed as cynical coffer-filling rather than safety initiatives.
Ticket statistics aren’t reliable indicators of driving habits, anyway, because they have more to do with policing than with the real rate of infractions. Consider drunk driving. In 2011, Oregon made 387 arrests for driving under the influence per 100,000 residents in the state, nearly triple the 132 per 100,000 made in Louisiana the same year. But the Bayou state lost about twice as many residents per capita as Oregon in car accidents in which alcohol was involved. Unless Oregonians are simply better drunk drivers than Louisianans, the data suggest that arrests do not correlate with the incidence of drunk driving. There’s no reason to believe that running red lights or speeding would be any different. (For what it’s worth, the National Motorists Association collected data on Google queries from people around the country to guess which states issued the most tickets in 2010. Florida, Georgia, Nevada, and Texas topped the list. Montana came in last.)
So we’re left with four indicators: No. 1, years between traffic accidents; No. 2, automotive fatalities; No. 3, alcohol-related driving deaths; and No. 4, pedestrian strikes. We’ll rank the cities in each category and then combine those into a single ranking. The first three categories will each account for 27 percent of the total, while pedestrian strikes will count for only 19 percent, due to low data quality and variation in pedestrian density.
Is that weighting arbitrary? A little bit. Is the data sketchy in places? Undoubtedly. Could you think of other metrics? Sure. But this isn’t a policy document. It’s a parlor game. If you don’t like my methodology, make your own. Here’s a simple spreadsheet containing the data I used. You can re-weight it, re-rank it, and add to it as you like.
And now, America, on to the cities with your worst drivers.
No. 5: Baltimore. Baltimoreans just can’t keep from running into each other. They were outside the top 10 in fatalities, DWI deaths, and pedestrian strikes, but their rate of collision couldn’t keep them out of the top five overall.
No. 4: Tampa, Fla. Tampa doesn’t do any single thing terribly, but it is consistently poor: 18th worst in years between accidents, fifth in traffic fatalities, tied for 11th in DWI fatalities, and 10th in pedestrian strikes. If the city had managed to get outside the bottom half in any individual category, Tampa residents might have avoided this distinction.
No. 3: Hialeah. The drivers of Hialeah get into a middling number of accidents, ranking 11th among the 39 candidates. But when they hit someone, they really mean it. The city finished third for fatalities. They also have a terrifying tendency to hit pedestrians.
No. 2: Philadelphia. Drivers in the city of brotherly love enjoy a good love tap behind the wheel. Second-places finishes in collisions and pedestrian strikes overwhelm their semi-respectable 16th-place ranking in DWI deaths.
No. 1: Miami. And it’s not even close. First in automotive fatalities, first in pedestrian strikes, first in the obscenity-laced tirades of their fellow drivers.
A couple of other noteworthy findings: Californians did reasonably well. Although the Golden State had seven cities among our 39 candidates, only Glendale finished in the top half of the table. Louisiana’s two entries, Baton Rouge and New Orleans, finished 6th and 15th, owing to the state’s terrible record of drunk driving fatalities. Washington, D.C., the whipping boy of the Allstate rankings, dropped to 16th, owing to low numbers of DWI fatalities. Boston drivers don’t deserve the torment they receive. They have few automotive fatalities and rarely kill people in alcohol-related accidents. It goes to show how flawed opinion polls can be.
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