Auto Insurance

Florida Counties Frequently Top List as Most Dangerous Places for Commuters

Florida Counties Frequently Top List as Most Dangerous Places for Commuters

Hillsborough County in Florida is the nation's most dangerous large county for fatalities per 100,000 commuters, with Interstate 75 leading the way as the spot in the county with the most fatalities.
Commuters in traffic.
Commuters in traffic. Source: Getty Images

Nearly 9,700 people died on the road during commuting hours in the year before the coronavirus pandemic reduced travel. In 2019 — the latest year of available data — there were 9,657 fatalities during weekday commuting hours from 6 a.m. to 11 a.m. and 4 p.m. to 8 p.m. The most dangerous large county — population of at least 500,000 commuters — was Hillsborough County, Fla., with 9.2 deaths per 100,000 commuters.

Other Florida counties also saw higher-than-average fatality rates during commutes. Of the 15 large counties with fatality rates equal to or higher than the average in large counties (4.8 deaths per 100,000), one-third were in Florida. Texas, which accounts for 27% of these counties, appeared most frequently behind Florida.

At the state level, Mississippi was the most dangerous for commuters, with 16.3 deaths per 100,000 commuters. In raw figures, Texas had the most commuting deaths — 939 — amounting to 7.9 per 100,000 — far ahead of Mississippi, which ranked 20th.

Key findings

Hillsborough County is the nation's deadliest large county for commuters, and other large and midsize counties in Florida commonly have higher-than-average fatality rates

The average number of people killed during commuting hours — 6-11 a.m. and 4-8 p.m. weekdays — in large counties was 4.8 per 100,000 commuters. ValuePenguin found 15 large counties where the death rate equaled or exceeded this average. At the top of these counties was Hillsborough County in Florida.

Hillsborough County had a rate of 9.2 fatalities per 100,000 commuters, the highest of any large county. The highest number of deaths on a Hillsborough County roadway occurred on Interstate 75.

Rank
County and state
Fatalities per 100,000
1Hillsborough County, Florida9.2
2San Bernardino County, California8.4
3Maricopa County, Arizona6.5
4Riverside County, California6.3
5Orange County, Florida6.2
6Sacramento County, California6.2
7Clark County, Nevada6.0
8Wayne County, Michigan5.8
9Dallas County, Texas5.7
10Palm Beach County, Florida5.6
11Miami-Dade County, Florida5.5
12Harris County, Texas5.1
Show All Rows

The places displayed in this table have fatality per-commuter ratios equal to or higher than the average among large counties; the data is rounded, but the positions reflect nonrounded decimals.

Counties in Florida were also the most likely to lead midsize counties (100,000 to 499,999 commuters) in deaths per 100,000 commuters. In 95 midsize counties with more than 5.4 deaths per 100,000 commuters — the average across midsize counties — Florida counties appeared 17 times, more often than any other state's counties. Counties in Texas cropped up 42 times among the 541 small counties where the death rate was greater than the average across small counties (10.6).

Conversely, Hennepin County, Minn., was the safest of the nation's largest counties with at least one commuter fatality, at 2.5 deaths per 100,000 commuters. No large county had zero deaths. Records for Suffolk County, Mass., showed the area was the safest midsize county where at least one death occurred in 2019, with 0.5 deaths per 100,000 commuters.

How serious car crashes affect auto insurance: A driver involved in a serious car crash will see their auto insurance premiums go up if they were at fault. ValuePenguin found that the cost of car insurance increases by an average of 46% after a serious — though not necessarily fatal — accident. Drivers with multiple crashes on their records may have even more trouble getting affordable rates for auto insurance — and some insurers may deny them coverage altogether.

The most dangerous large counties for commuters

Below, researchers have ranked all the large counties by deaths per 100,000 commuters. The rankings for the 25 most dangerous midsize and small counties are further down.

Rank
County and state
Fatalities
Fatalities per 100,000
1Hillsborough County, Florida569.2
2San Bernardino County, California698.4
3Maricopa County, Arizona1166.5
4Riverside County, California576.3
5Orange County, Florida376.2
6Sacramento County, California376.2
7Clark County, Nevada546.0
8Wayne County, Michigan385.8
9Dallas County, Texas665.7
10Palm Beach County, Florida335.6
11Miami-Dade County, Florida615.5
12Harris County, Texas1015.1
Show All Rows

The data is rounded, but the positions reflect non rounded decimals.

{"backgroundColor":"white","content":"\u003C\/p\u003E\n\n\u003Cp\u003EThe average number of people killed during commuting hours \u2014 6-11 a.m. and 4-8 p.m. weekdays \u2014 in large counties was 4.8 per 100,000 commuters. ValuePenguin found 15 large counties where the death rate equaled or exceeded this average. At the top of these counties was Hillsborough County in Florida.\u003C\/p\u003E\n\n\u003Cp\u003E\u003Cdiv class=\"ShortcodePullquote--root\"\u003E\n \u003Cp class=\"ShortcodePullquote--text ShortcodePullquote--blue\"\u003E\n \nHillsborough County had a rate of 9.2 fatalities per 100,000 commuters, the highest of any large county. The highest number of deaths on a Hillsborough County roadway occurred on Interstate 75.\n\n \u003C\/p\u003E\n\u003C\/div\u003E\u003C\/p\u003E\n\n\u003Cp\u003E\u003Cdiv class=\"ReactComponent--root\"\u003E\n \u003Cdiv class=\"js-react-component-rendered js-react-component-SortableTable\" data-component-name=\"SortableTable\"\u003E\n \u003Cdiv class=\"StyledRootWrapper-sc-3qeib4 jYHfZo\"\u003E\u003Cdiv class=\"StyledTableWrapper-sc-5nmmx9 fesmOM\"\u003E\u003Cdiv class=\"StyledTableOverflowWrapper-sc-hixhp9 gVbnK\"\u003E\u003Ctable class=\"StyledTable-sc-ujzn9t jVpJxq\"\u003E\u003Cthead class=\"StyledHeaderRow-sc-1m1b8dn hCELBb\"\u003E\u003Ctr\u003E\u003Cth colSpan=\"1\" width=\"\" class=\"StyledHeaderCell-sc-nsptsd frWuiR\"\u003E\u003Cdiv class=\"StyledColumnHeaderWrapper-sc-12xyb2r gPTwhA\"\u003E\u003Cspan\u003ERank\u003C\/span\u003E\u003C\/div\u003E\u003C\/th\u003E\u003Cth colSpan=\"1\" width=\"\" class=\"StyledHeaderCell-sc-nsptsd frWuiR\"\u003E\u003Cdiv class=\"StyledColumnHeaderWrapper-sc-12xyb2r glLrYA\"\u003E\u003Cspan\u003ECounty and state\u003C\/span\u003E\u003C\/div\u003E\u003C\/th\u003E\u003Cth colSpan=\"1\" width=\"\" class=\"StyledHeaderCell-sc-nsptsd frWuiR\"\u003E\u003Cdiv class=\"StyledColumnHeaderWrapper-sc-12xyb2r glLrYA\"\u003E\u003Cspan\u003EFatalities per 100,000\u003C\/span\u003E\u003C\/div\u003E\u003C\/th\u003E\u003C\/tr\u003E\u003C\/thead\u003E\u003Ctbody class=\"StyledBody-sc-14y8oc0 dcdMVT\"\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E1\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003EHillsborough County, Florida\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E9.2\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E2\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003ESan Bernardino County, California\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E8.4\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E3\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003EMaricopa County, Arizona\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E6.5\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E4\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003ERiverside County, California\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E6.3\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E5\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003EOrange County, Florida\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E6.2\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E6\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003ESacramento County, California\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E6.2\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E7\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003EClark County, Nevada\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E6.0\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E8\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003EWayne County, Michigan\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E5.8\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E9\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003EDallas County, Texas\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E5.7\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E10\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003EPalm Beach County, Florida\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E5.6\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E11\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003EMiami-Dade County, Florida\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E5.5\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E12\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003EHarris County, Texas\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E5.1\u003C\/td\u003E\u003C\/tr\u003E\u003C\/tbody\u003E\u003C\/table\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cdiv role=\"button\" class=\"StyledExpander-sc-1gnrutu gvWduk\"\u003EShow All Rows\u003C\/div\u003E\u003Cp class=\"SortableTable--footnote\"\u003EThe places displayed in this table have fatality per-commuter ratios equal to or higher than the average among large counties; the data is rounded, but the positions reflect nonrounded decimals.\u003C\/p\u003E\u003C\/div\u003E\n \u003C\/div\u003E\n\n \u003Cscript type=\"application\/json\" class=\"js-react-component\" data-component-name=\"SortableTable\"\u003E{\"alignsHorizontal\":[\"left\",\"right\",\"right\"],\"alignsVertical\":[],\"columnWidths\":[],\"data\":[[\"Rank\",\"County and state\",\"Fatalities per 100,000\"],[\"1\",\"Hillsborough County, Florida\",\"9.2\"],[\"2\",\"San Bernardino County, California\",\"8.4\"],[\"3\",\"Maricopa County, Arizona\",\"6.5\"],[\"4\",\"Riverside County, California\",\"6.3\"],[\"5\",\"Orange County, Florida\",\"6.2\"],[\"6\",\"Sacramento County, California\",\"6.2\"],[\"7\",\"Clark County, Nevada\",\"6.0\"],[\"8\",\"Wayne County, Michigan\",\"5.8\"],[\"9\",\"Dallas County, Texas\",\"5.7\"],[\"10\",\"Palm Beach County, Florida\",\"5.6\"],[\"11\",\"Miami-Dade County, Florida\",\"5.5\"],[\"12\",\"Harris County, Texas\",\"5.1\"],[\"13\",\"Bexar County, Texas\",\"4.9\"],[\"14\",\"Travis County, Texas\",\"4.8\"],[\"15\",\"Broward County, Florida\",\"4.8\"]],\"footnote\":\"The places displayed in this table have fatality per-commuter ratios equal to or higher than the average among large counties; the data is rounded, but the positions reflect nonrounded decimals.\",\"hideHeaderRow\":false,\"hasMarginBottom\":true,\"isExpandable\":true,\"isSortable\":false,\"maxWidth\":\"1215\",\"minWidth\":\"100%\",\"showSearch\":false,\"sortColumnIndex\":0,\"sortDirection\":\"asc\"}\u003C\/script\u003E\n\n\u003C\/div\u003E\u003C\/p\u003E\n\n\u003Cp\u003ECounties in Florida were also the most likely to lead midsize counties (100,000 to 499,999 commuters) in deaths per 100,000 commuters. In 95 midsize counties with more than 5.4 deaths per 100,000 commuters \u2014 the average across midsize counties \u2014 Florida counties appeared 17 times, more often than any other state's counties. Counties in Texas cropped up 42 times among the 541 small counties where the death rate was greater than the average across small counties (10.6).\u003C\/p\u003E\n\n\u003Cp\u003EConversely, Hennepin County, Minn., was the safest of the nation's largest counties with at least one commuter fatality, at 2.5 deaths per 100,000 commuters. No large county had zero deaths. Records for Suffolk County, Mass., showed the area was the safest midsize county where at least one death occurred in 2019, with 0.5 deaths per 100,000 commuters.\u003C\/p\u003E\n\n\u003Cp\u003E\u003Cdiv class=\"ShortcodeBorder--root ShortcodeBorder--with-padding\"\u003E\u003C\/p\u003E\n\n\u003Cp\u003E\u003Cstrong\u003EHow serious car crashes affect auto insurance\u003C\/strong\u003E: A driver involved in a serious car crash will see their \u003Cspan\u003E\u003Ca class=\"ShortcodeLink--root ShortcodeLink--black\" title=\"How Accidents Affect Auto Insurance Rates\" href=\"https:\/\/www.valuepenguin.com\/how-does-accident-affect-my-car-insurance-rates\"\u003Eauto insurance premiums go up\u003C\/a\u003E\u003C\/span\u003E if they were at fault. ValuePenguin found that the cost of car insurance increases by an average of 46% after a serious \u2014 though not necessarily fatal \u2014 accident. Drivers with multiple crashes on their records may have even more trouble getting \u003Cspan\u003E\u003Ca class=\"ShortcodeLink--root ShortcodeLink--black\" title=\"Cheapest Car Insurance Companies\" href=\"https:\/\/www.valuepenguin.com\/best-cheap-car-insurance\"\u003Eaffordable rates for auto insurance\u003C\/a\u003E\u003C\/span\u003E \u2014 and some insurers may deny them coverage altogether.\u003C\/p\u003E\n\n\u003Cp\u003E\u003C\/div\u003E\u003C\/p\u003E\n\n\u003Ch4\u003EThe most dangerous large counties for commuters\u003C\/h4\u003E\n\n\u003Cp\u003EBelow, researchers have ranked all the large counties by deaths per 100,000 commuters. The rankings for the 25 most dangerous \u003Cspan\u003E\u003Ca class=\"ShortcodeLink--root ShortcodeLink--black\" title=\"midsize\" href=\"#midsize\"\u003Emidsize\u003C\/a\u003E\u003C\/span\u003E and \u003Cspan\u003E\u003Ca class=\"ShortcodeLink--root ShortcodeLink--black\" title=\"small\" href=\"#small\"\u003Esmall\u003C\/a\u003E\u003C\/span\u003E counties are further down.\u003C\/p\u003E\n\n\u003Cp\u003E\u003Cdiv class=\"ReactComponent--root\"\u003E\n \u003Cdiv class=\"js-react-component-rendered js-react-component-SortableTable\" data-component-name=\"SortableTable\"\u003E\n \u003Cdiv class=\"StyledRootWrapper-sc-3qeib4 jYHfZo\"\u003E\u003Cdiv class=\"StyledTableWrapper-sc-5nmmx9 fesmOM\"\u003E\u003Cdiv class=\"StyledTableOverflowWrapper-sc-hixhp9 gVbnK\"\u003E\u003Ctable class=\"StyledTable-sc-ujzn9t jVpJxq\"\u003E\u003Cthead class=\"StyledHeaderRow-sc-1m1b8dn hCELBb\"\u003E\u003Ctr\u003E\u003Cth colSpan=\"1\" width=\"\" class=\"StyledHeaderCell-sc-nsptsd frWuiR\"\u003E\u003Cdiv class=\"StyledColumnHeaderWrapper-sc-12xyb2r gPTwhA\"\u003E\u003Cspan\u003ERank\u003C\/span\u003E\u003C\/div\u003E\u003C\/th\u003E\u003Cth colSpan=\"1\" width=\"\" class=\"StyledHeaderCell-sc-nsptsd frWuiR\"\u003E\u003Cdiv class=\"StyledColumnHeaderWrapper-sc-12xyb2r gPTwhA\"\u003E\u003Cspan\u003ECounty and state\u003C\/span\u003E\u003C\/div\u003E\u003C\/th\u003E\u003Cth colSpan=\"1\" width=\"\" class=\"StyledHeaderCell-sc-nsptsd frWuiR\"\u003E\u003Cdiv class=\"StyledColumnHeaderWrapper-sc-12xyb2r gPTwhA\"\u003E\u003Cspan\u003EFatalities\u003C\/span\u003E\u003C\/div\u003E\u003C\/th\u003E\u003Cth colSpan=\"1\" width=\"\" class=\"StyledHeaderCell-sc-nsptsd frWuiR\"\u003E\u003Cdiv class=\"StyledColumnHeaderWrapper-sc-12xyb2r glLrYA\"\u003E\u003Cspan\u003EFatalities per 100,000\u003C\/span\u003E\u003C\/div\u003E\u003C\/th\u003E\u003C\/tr\u003E\u003C\/thead\u003E\u003Ctbody class=\"StyledBody-sc-14y8oc0 dcdMVT\"\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E1\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003EHillsborough County, Florida\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E56\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E9.2\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E2\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003ESan Bernardino County, California\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E69\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E8.4\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E3\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003EMaricopa County, Arizona\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E116\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E6.5\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E4\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003ERiverside County, California\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E57\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E6.3\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E5\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003EOrange County, Florida\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E37\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E6.2\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E6\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003ESacramento County, California\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E37\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E6.2\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E7\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003EClark County, Nevada\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E54\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E6.0\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E8\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003EWayne County, Michigan\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E38\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E5.8\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E9\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003EDallas County, Texas\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E66\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E5.7\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E10\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003EPalm Beach County, Florida\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E33\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E5.6\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E11\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003EMiami-Dade County, Florida\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E61\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E5.5\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E12\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003EHarris County, Texas\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E101\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E5.1\u003C\/td\u003E\u003C\/tr\u003E\u003C\/tbody\u003E\u003C\/table\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cdiv role=\"button\" class=\"StyledExpander-sc-1gnrutu gvWduk\"\u003EShow All Rows\u003C\/div\u003E\u003Cp class=\"SortableTable--footnote\"\u003EThe data is rounded, but the positions reflect non rounded decimals.\u003C\/p\u003E\u003C\/div\u003E\n \u003C\/div\u003E\n\n \u003Cscript type=\"application\/json\" class=\"js-react-component\" data-component-name=\"SortableTable\"\u003E{\"alignsHorizontal\":[\"left\",\"left\",\"left\",\"right\"],\"alignsVertical\":[],\"columnWidths\":[],\"data\":[[\"Rank\",\"County and state\",\"Fatalities\",\"Fatalities per 100,000\"],[\"1\",\"Hillsborough County, Florida\",\"56\",\"9.2\"],[\"2\",\"San Bernardino County, California\",\"69\",\"8.4\"],[\"3\",\"Maricopa County, Arizona\",\"116\",\"6.5\"],[\"4\",\"Riverside County, California\",\"57\",\"6.3\"],[\"5\",\"Orange County, Florida\",\"37\",\"6.2\"],[\"6\",\"Sacramento County, California\",\"37\",\"6.2\"],[\"7\",\"Clark County, Nevada\",\"54\",\"6.0\"],[\"8\",\"Wayne County, Michigan\",\"38\",\"5.8\"],[\"9\",\"Dallas County, Texas\",\"66\",\"5.7\"],[\"10\",\"Palm Beach County, Florida\",\"33\",\"5.6\"],[\"11\",\"Miami-Dade County, Florida\",\"61\",\"5.5\"],[\"12\",\"Harris County, Texas\",\"101\",\"5.1\"],[\"13\",\"Bexar County, Texas\",\"40\",\"4.9\"],[\"14\",\"Travis County, Texas\",\"27\",\"4.8\"],[\"15\",\"Broward County, Florida\",\"40\",\"4.8\"],[\"16\",\"San Diego County, California\",\"65\",\"4.7\"],[\"17\",\"King County, Washington\",\"38\",\"4.5\"],[\"18\",\"Alameda County, California\",\"23\",\"4.2\"],[\"19\",\"Los Angeles County, California\",\"160\",\"4.0\"],[\"20\",\"Cook County, Illinois\",\"68\",\"3.9\"],[\"21\",\"Santa Clara County, California\",\"31\",\"3.8\"],[\"22\",\"Suffolk County, New York\",\"24\",\"3.7\"],[\"23\",\"Salt Lake County, Utah\",\"18\",\"3.6\"],[\"24\",\"Franklin County, Ohio\",\"21\",\"3.6\"],[\"25\",\"Nassau County, New York\",\"18\",\"3.5\"],[\"26\",\"Tarrant County, Texas\",\"32\",\"3.5\"],[\"27\",\"Cuyahoga County, Ohio\",\"15\",\"3.0\"],[\"28\",\"Oakland County, Michigan\",\"17\",\"2.9\"],[\"29\",\"Orange County, California\",\"39\",\"2.8\"],[\"30\",\"Middlesex County, Massachusetts\",\"17\",\"2.6\"],[\"31\",\"Hennepin County, Minnesota\",\"14\",\"2.5\"]],\"footnote\":\"The data is rounded, but the positions reflect non rounded decimals.\",\"hideHeaderRow\":false,\"hasMarginBottom\":true,\"isExpandable\":true,\"isSortable\":false,\"maxWidth\":\"1215\",\"minWidth\":\"100%\",\"showSearch\":false,\"sortColumnIndex\":0,\"sortDirection\":\"asc\"}\u003C\/script\u003E\n\n\u003C\/div\u003E\u003C\/p\u003E\n\n\u003Cp\u003E","padding":"double"}

Although Los Angeles County has the most commuting-hour fatalities of any county in the country, the rate at which people are killed is lower than the average in large counties

Los Angeles County recorded 160 fatalities during commuting hours in 2019, the most deaths of any county regardless of size. While it's just one of three counties with at least 100 deaths, it's the only one of these where the rate of fatalities per 100,000 commuters was lower than the average for large counties.

Maricopa County (116) in Arizona and Harris County (101) in Texas also had more than 100 fatalities, though the death rate in these counties was greater than the average for large counties.

Fresno County, Calif., had the highest number of fatalities (43) during commuting hours of any midsize county. In fact, Fresno County had more fatalities than various much larger counties, including Bexar County, Texas; Broward County, Fla.; Wayne County, Mich.; Orange County, Fla.; Sacramento County, Calif.; Palm Beach County, Fla.; and Travis County, Texas.

Rank
County and state
Fatalities
Involving alcohol
1Los Angeles County, California16014
2Maricopa County, Arizona11616
3Harris County, Texas1015
4San Bernardino County, California6914
5Cook County, Illinois689
6Dallas County, Texas669
7San Diego County, California658
8Miami-Dade County, Florida614
9Riverside County, California578
10Hillsborough County, Florida569
11Clark County, Nevada547
12Bexar County, Texas407
Show All Rows

Counties ordered by total fatalities.

Fatalities where alcohol was present represented a small subset of total fatalities at the state level — just 14% of fatalities across the entire country. There were 16 fatalities during commuting hours where alcohol was present in Maricopa County, Ariz., the highest number for any large county. However, San Bernardino County, Calif., had the highest rate of fatalities per 100,000 commuters in large counties where alcohol was present (1.7 per 100,000, compared with 0.9 per 100,000 in Maricopa).

The most deadly roads for commuting by number of fatalities are in Maricopa County, Ariz., and Oklahoma County, Okla.

By the number of deaths, one of the most dangerous roads for commuters was Indian School Road in Maricopa County, Ariz. In 2019, there were eight deaths on this road, tied for the most of any single roadway during the weekday hours that ValuePenguin analyzed. There were also eight deaths on U.S. Highway 62 in Oklahoma County, Okla.

By comparison, researchers found there were 6,928 ​​roadways with at least one death in 2019. There were 825 roads with two fatalities, 205 with three and just 105 where between four and eight people were killed.

Mississippi has the highest fatality rate during commutes of any state, and a comparatively high number of these fatal crashes occur when alcohol is present

In Mississippi, the rate of fatalities per 100,000 commuters was 16.3 — the highest of any state. Mississippi, however, didn’t hold the top spot for deaths. That distinction belonged to Texas (939 fatalities), where the U.S. Census Bureau estimated more than 10 times more commuters traveled in 2019 compared to Mississippi.

The rate of fatal crashes during commuting times where alcohol was present in Mississippi was 2.3 per 100,000. While fatal crashes where alcohol was present made up a small percentage of all fatal crashes, the seemingly insignificant rate in Mississippi was actually the fifth-highest in the country. The highest was in Wyoming, with 3.6 fatal crashes where alcohol was present per 100,000 commuters. Following Wyoming were Alaska (2.8), Idaho (2.6) and North Dakota (2.5).

Rank
State
Fatalities per 100,000 commuters
Alcohol-related fatalities per 100,000 commuters
Fatalities
1Mississippi16.32.3188
2Wyoming15.63.639
3New Mexico14.51.9116
4South Carolina13.32.2276
5West Virginia12.82.085
6Arkansas12.42.1149
7Alabama12.01.6234
8Kentucky11.81.5211
9Oklahoma11.81.7192
10Idaho10.92.675
11Tennessee10.41.4293
12Georgia9.80.7418
Show All Rows

States ordered by fatalities per 100,000 commuters; the data is rounded, but the positions reflect nonrounded decimals.

{"backgroundColor":"white","content":"\u003C\/p\u003E\n\n\u003Cp\u003EIn Mississippi, the rate of fatalities per 100,000 commuters was 16.3 \u2014 the highest of any state. Mississippi, however, didn\u2019t hold the top spot for deaths. That distinction belonged to Texas (939 fatalities), where the U.S. Census Bureau estimated more than 10 times more commuters traveled in 2019 compared to Mississippi.\u003C\/p\u003E\n\n\u003Cp\u003EThe rate of fatal crashes during commuting times where alcohol was present in Mississippi was 2.3 per 100,000. While fatal crashes where alcohol was present made up a small percentage of all fatal crashes, the seemingly insignificant rate in Mississippi was actually the fifth-highest in the country. The highest was in Wyoming, with 3.6 fatal crashes where alcohol was present per 100,000 commuters. Following Wyoming were Alaska (2.8), Idaho (2.6) and North Dakota (2.5).\u003C\/p\u003E\n\n\u003Cp\u003E\u003Cdiv class=\"ReactComponent--root\"\u003E\n \u003Cdiv class=\"js-react-component-rendered js-react-component-SortableTable\" data-component-name=\"SortableTable\"\u003E\n \u003Cdiv class=\"StyledRootWrapper-sc-3qeib4 jYHfZo\"\u003E\u003Cdiv class=\"StyledTableWrapper-sc-5nmmx9 fesmOM\"\u003E\u003Cdiv class=\"StyledTableOverflowWrapper-sc-hixhp9 gVbnK\"\u003E\u003Ctable class=\"StyledTable-sc-ujzn9t jVpJxq\"\u003E\u003Cthead class=\"StyledHeaderRow-sc-1m1b8dn hCELBb\"\u003E\u003Ctr\u003E\u003Cth colSpan=\"1\" width=\"\" class=\"StyledHeaderCell-sc-nsptsd frWuiR\"\u003E\u003Cdiv class=\"StyledColumnHeaderWrapper-sc-12xyb2r gPTwhA\"\u003E\u003Cspan\u003ERank\u003C\/span\u003E\u003C\/div\u003E\u003C\/th\u003E\u003Cth colSpan=\"1\" width=\"\" class=\"StyledHeaderCell-sc-nsptsd frWuiR\"\u003E\u003Cdiv class=\"StyledColumnHeaderWrapper-sc-12xyb2r gPTwhA\"\u003E\u003Cspan\u003EState\u003C\/span\u003E\u003C\/div\u003E\u003C\/th\u003E\u003Cth colSpan=\"1\" width=\"\" class=\"StyledHeaderCell-sc-nsptsd frWuiR\"\u003E\u003Cdiv class=\"StyledColumnHeaderWrapper-sc-12xyb2r glLrYA\"\u003E\u003Cspan\u003EFatalities per 100,000 commuters\u003C\/span\u003E\u003C\/div\u003E\u003C\/th\u003E\u003Cth colSpan=\"1\" width=\"\" class=\"StyledHeaderCell-sc-nsptsd frWuiR\"\u003E\u003Cdiv class=\"StyledColumnHeaderWrapper-sc-12xyb2r glLrYA\"\u003E\u003Cspan\u003EAlcohol-related fatalities per 100,000 commuters\u003C\/span\u003E\u003C\/div\u003E\u003C\/th\u003E\u003Cth colSpan=\"1\" width=\"\" class=\"StyledHeaderCell-sc-nsptsd frWuiR\"\u003E\u003Cdiv class=\"StyledColumnHeaderWrapper-sc-12xyb2r glLrYA\"\u003E\u003Cspan\u003EFatalities\u003C\/span\u003E\u003C\/div\u003E\u003C\/th\u003E\u003C\/tr\u003E\u003C\/thead\u003E\u003Ctbody class=\"StyledBody-sc-14y8oc0 dcdMVT\"\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E1\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003EMississippi\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E16.3\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E2.3\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E188\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E2\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003EWyoming\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E15.6\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E3.6\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E39\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E3\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003ENew Mexico\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E14.5\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E1.9\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E116\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E4\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003ESouth Carolina\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E13.3\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E2.2\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E276\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E5\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003EWest Virginia\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E12.8\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E2.0\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E85\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E6\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003EArkansas\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E12.4\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E2.1\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E149\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E7\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003EAlabama\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E12.0\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E1.6\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E234\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E8\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003EKentucky\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E11.8\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E1.5\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E211\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E9\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003EOklahoma\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E11.8\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E1.7\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E192\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E10\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003EIdaho\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E10.9\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E2.6\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E75\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E11\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003ETennessee\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E10.4\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E1.4\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E293\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003E12\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee XfhRD\"\u003EGeorgia\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E9.8\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E0.7\u003C\/td\u003E\u003Ctd colSpan=\"1\" rowspan=\"1\" width=\"\" class=\"StyledBodyCell-sc-5cu9ee frAYUA\"\u003E418\u003C\/td\u003E\u003C\/tr\u003E\u003C\/tbody\u003E\u003C\/table\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cdiv role=\"button\" class=\"StyledExpander-sc-1gnrutu gvWduk\"\u003EShow All Rows\u003C\/div\u003E\u003Cp class=\"SortableTable--footnote\"\u003EStates ordered by fatalities per 100,000 commuters; the data is rounded, but the positions reflect nonrounded decimals.\u003C\/p\u003E\u003C\/div\u003E\n \u003C\/div\u003E\n\n \u003Cscript type=\"application\/json\" class=\"js-react-component\" data-component-name=\"SortableTable\"\u003E{\"alignsHorizontal\":[\"left\",\"left\",\"right\",\"right\",\"right\"],\"alignsVertical\":[],\"columnWidths\":[],\"data\":[[\"Rank\",\"State\",\"Fatalities per 100,000 commuters\",\"Alcohol-related fatalities per 100,000 commuters\",\"Fatalities\"],[\"1\",\"Mississippi\",\"16.3\",\"2.3\",\"188\"],[\"2\",\"Wyoming\",\"15.6\",\"3.6\",\"39\"],[\"3\",\"New Mexico\",\"14.5\",\"1.9\",\"116\"],[\"4\",\"South Carolina\",\"13.3\",\"2.2\",\"276\"],[\"5\",\"West Virginia\",\"12.8\",\"2.0\",\"85\"],[\"6\",\"Arkansas\",\"12.4\",\"2.1\",\"149\"],[\"7\",\"Alabama\",\"12.0\",\"1.6\",\"234\"],[\"8\",\"Kentucky\",\"11.8\",\"1.5\",\"211\"],[\"9\",\"Oklahoma\",\"11.8\",\"1.7\",\"192\"],[\"10\",\"Idaho\",\"10.9\",\"2.6\",\"75\"],[\"11\",\"Tennessee\",\"10.4\",\"1.4\",\"293\"],[\"12\",\"Georgia\",\"9.8\",\"0.7\",\"418\"],[\"13\",\"Louisiana\",\"9.7\",\"1.5\",\"180\"],[\"14\",\"North Carolina\",\"9.6\",\"1.0\",\"412\"],[\"15\",\"Montana\",\"9.5\",\"1.9\",\"41\"],[\"16\",\"Missouri\",\"9.5\",\"1.5\",\"248\"],[\"17\",\"Arizona\",\"9.5\",\"1.0\",\"256\"],[\"18\",\"Florida\",\"9.4\",\"1.3\",\"783\"],[\"19\",\"Kansas\",\"9.3\",\"0.8\",\"122\"],[\"20\",\"Nebraska\",\"8.8\",\"1.2\",\"79\"],[\"21\",\"Oregon\",\"8.2\",\"1.6\",\"129\"],[\"22\",\"Indiana\",\"8.0\",\"0.6\",\"230\"],[\"23\",\"Texas\",\"7.9\",\"0.7\",\"939\"],[\"24\",\"South Dakota\",\"7.7\",\"1.0\",\"30\"],[\"25\",\"Colorado\",\"7.7\",\"1.4\",\"185\"],[\"26\",\"Delaware\",\"7.5\",\"0.5\",\"30\"],[\"27\",\"North Dakota\",\"7.4\",\"2.5\",\"27\"],[\"28\",\"Maine\",\"7.4\",\"0.9\",\"43\"],[\"29\",\"Nevada\",\"7.4\",\"1.3\",\"91\"],[\"30\",\"Alaska\",\"7.3\",\"2.8\",\"21\"],[\"31\",\"Iowa\",\"7.2\",\"1.8\",\"102\"],[\"32\",\"Virginia\",\"6.5\",\"0.8\",\"235\"],[\"33\",\"Wisconsin\",\"6.4\",\"1.4\",\"168\"],[\"34\",\"Michigan\",\"6.3\",\"0.9\",\"261\"],[\"35\",\"California\",\"5.8\",\"0.8\",\"884\"],[\"36\",\"Ohio\",\"5.7\",\"1.1\",\"285\"],[\"37\",\"Pennsylvania\",\"5.6\",\"0.9\",\"286\"],[\"38\",\"Maryland\",\"5.5\",\"0.8\",\"140\"],[\"39\",\"New Hampshire\",\"5.5\",\"1.9\",\"35\"],[\"40\",\"Vermont\",\"5.1\",\"0.4\",\"14\"],[\"41\",\"Minnesota\",\"5.1\",\"1.2\",\"128\"],[\"42\",\"Washington\",\"5.0\",\"1.2\",\"146\"],[\"43\",\"Illinois\",\"4.9\",\"0.7\",\"245\"],[\"44\",\"District of Columbia\",\"4.8\",\"0.0\",\"7\"],[\"45\",\"Utah\",\"4.8\",\"0.4\",\"62\"],[\"46\",\"New York\",\"4.7\",\"0.5\",\"259\"],[\"47\",\"New Jersey\",\"4.0\",\"0.5\",\"138\"],[\"48\",\"Connecticut\",\"3.9\",\"0.6\",\"60\"],[\"49\",\"Hawaii\",\"3.5\",\"0.5\",\"20\"],[\"50\",\"Massachusetts\",\"3.0\",\"0.3\",\"83\"],[\"51\",\"Rhode Island\",\"1.7\",\"0.4\",\"8\"]],\"footnote\":\"States ordered by fatalities per 100,000 commuters; the data is rounded, but the positions reflect nonrounded decimals.\",\"hideHeaderRow\":false,\"hasMarginBottom\":true,\"isExpandable\":true,\"isSortable\":false,\"maxWidth\":\"1215\",\"minWidth\":\"100%\",\"showSearch\":false,\"sortColumnIndex\":0,\"sortDirection\":\"asc\"}\u003C\/script\u003E\n\n\u003C\/div\u003E\u003C\/p\u003E\n\n\u003Cp\u003E","padding":"double"}

The worst day of the week for commuting traffic deaths is Friday — and evenings are much more dangerous than mornings

Friday was the most dangerous day for commuters. ValuePenguin found that 2,184 fatalities during commuting hours happened on Fridays in 2019 — 23% of all fatalities during commuting hours. Behind Friday, Wednesday accounted for 20% of fatal commuting crashes. The rest of the days each contributed 19% to the total.

Evenings on Fridays were much more dangerous than mornings. On Fridays, there were 40% more deaths during evening commuting hours (4-8 p.m.) than during morning travel times (6-11 a.m.). Across the week, there were 26% more fatal crashes during evenings than during mornings.

Days of the week (morning or evening) when most fatalities occur

There were also far more people killed in car accidents involving alcohol during commuting hours on Fridays compared to the other days of the week. Twenty-eight percent of the fatalities where alcohol was present took place on Fridays. Eighty-one percent of these types of fatal crashes on Fridays happened in the evening.

Tuesday mornings were the most dangerous time for early-day commutes. Twenty-three percent of fatal crashes in mornings occurred at this time, compared with 22% for Friday mornings. Thirty percent of the fatal crashes that happened later in the day took place on Friday.

Days of the week when the largest percentage of crashes involve alcohol

The 25 most dangerous midsize counties for commuters

Rank
County and state
Fatalities
Fatalities per 100,000
1Lexington County, South Carolina2317.8
2Pinal County, Arizona2316.6
3Volusia County, Florida3216.2
4Weld County, Colorado2115.5
5Jefferson County, Missouri1615.3
6Spartanburg County, South Carolina2015.3
7St. Tammany Parish, Louisiana1615.1
8York County, South Carolina1815.0
9Alachua County, Florida1514.4
10Polk County, Florida3714.2
11Osceola County, Florida2013.4
12Pasco County, Florida2513.1
Show All Rows

The data is rounded, but the positions reflect nonrounded decimals.

The 25 most dangerous small counties for commuters

Rank
State and county
Fatalities
Fatalities per 100,000
1Johnson County, Kansas93.1
2Stark County, Ohio53.1
3Plymouth County, Massachusetts73.1
4Cleveland County, Oklahoma43.1
5Fairfax County, Virginia153.1
6Allegheny County, Pennsylvania153.1
7Honolulu County, Hawaii123.0
8Montgomery County, Pennsylvania113.0
9Chester County, Pennsylvania73.0
10Kane County, Illinois73.0
11Norfolk County, Massachusetts82.9
12Warren County, Ohio32.9
Show All Rows

The data is rounded, but the positions reflect non rounded decimals.

Methodology

ValuePenguin analyzed the total number of traffic fatalities during commuting hours as reported by the National Highway Traffic Safety Administration's Fatality Analysis Reporting System. Researchers broke commuting hours into two periods:

  • Morning commute: 6-11 a.m. weekdays
  • Evening commute: 4-8 p.m. weekdays

County-level driving commute fatality rates represent the number of commuting traffic fatalities that occurred in 2019 — the latest available data — per 100,000 driving commuters, according to five-year estimates from the 2019 U.S. Census Bureau American Community Survey.

ValuePenguin broke down counties into the following size classifications:

  • Large: Population of 500,000 or greater
  • Midsize: Population between 100,000 and 499,999
  • Small: Population between 10,000 and 99,999