{"id":5741,"date":"2026-09-23T20:46:01","date_gmt":"2026-09-23T20:46:01","guid":{"rendered":"https:\/\/severeinjurylawyers.com\/?p=5741"},"modified":"2026-09-23T20:49:15","modified_gmt":"2026-09-23T20:49:15","slug":"indice-de-choques-frontales-en-texas","status":"publish","type":"post","link":"https:\/\/severeinjurylawyers.com\/es\/texas-head-on-collision-index\/","title":{"rendered":"\u00cdndice de choques frontales de Texas"},"content":{"rendered":"\n<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@graph\": [\r\n    {\r\n      \"@type\": \"WebPage\",\r\n      \"@id\": \"https:\/\/severeinjurylawyers.com\/texas-head-on-collision-index\/#webpage\",\r\n      \"url\": \"https:\/\/severeinjurylawyers.com\/texas-head-on-collision-index\/\",\r\n      \"name\": \"Texas Head On Collision Index | 2019 to 2025 Crash Data\",\r\n      \"description\": \"Head on crashes were 1.4% of reportable Texas crashes in 2025 but 12.4% of fatal crashes. 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.n{ color: var(--gold); }\r\n.jalex-study .bio-side li a:hover{\r\n  color: var(--gold); border-left-color: var(--rule-2);\r\n}\r\n.jalex-study .bio-side li a.active{\r\n  color: var(--gold);\r\n  border-left-color: var(--gold);\r\n}\r\n.jalex-study .side-links{ display: block; columns: auto; width: auto; margin-top: 26px; padding-top: 20px; border-top: 1px solid var(--rule); }\r\n.jalex-study .side-links ul{ list-style: none; margin: 0; padding: 0; display: flex; flex-direction: column; gap: 2px; }\r\n.jalex-study .side-links li a{\r\n  display: inline-flex; align-items: center; gap: 8px;\r\n  font-family: var(--heading); font-size: 12.5px; font-weight: 600;\r\n  color: var(--text-2); padding: 7px 0;\r\n  transition: color 180ms ease;\r\n}\r\n.jalex-study .side-links li a .arr{ color: var(--gold); transition: transform 200ms ease; }\r\n.jalex-study .side-links li a .arr::before{ content: \"\\2192\"; }\r\n.jalex-study .side-links li a:hover{ color: var(--gold); }\r\n.jalex-study .side-links li a:hover .arr{ transform: translateX(3px); }\r\n.jalex-study .bio-content{\r\n  min-width: 0;\r\n}\r\n.jalex-study .bio-content section{\r\n  padding: 48px 0;\r\n  border-top: 1px solid var(--rule);\r\n}\r\n.jalex-study .bio-content section:first-child{\r\n  border-top: none; padding-top: 0;\r\n}\r\n.jalex-study .bio-content section[id],.jalex-study .cta-band[id]{ scroll-margin-top: 150px; }\r\n.jalex-study .bio-content section:nth-child(even){\r\n  background-color: #1c1c21;\r\n  background-image: radial-gradient(1100px 560px at 50% 0%, rgba(243,185,55,0.09), transparent 60%), radial-gradient(rgba(255,255,255,0.022) 1px, transparent 1.6px), linear-gradient(180deg, #222228, #131316);\r\n  background-size: 100% 100%, 24px 24px, 100% 100%;\r\n  background-repeat: no-repeat, repeat, no-repeat;\r\n  background-position: center top, 0 0, center;\r\n  border: 1px solid rgba(255,255,255,0.10);\r\n  box-shadow: inset 0 1px 0 rgba(243,185,55,0.10);\r\n  border-radius: var(--radius);\r\n  padding: clamp(36px, 5vw, 56px) clamp(22px, 4vw, 48px);\r\n  margin: 44px 0;\r\n}\r\n.jalex-study .bio-content section:nth-child(even) + section{ border-top: none; }\r\n.jalex-study .bio-content h2{\r\n  margin-bottom: 32px;\r\n  text-wrap: wrap;\r\n  text-wrap: pretty;\r\n  max-width: none;\r\n}\r\n.jalex-study .bio-content p{\r\n  font-size: 16.5px; line-height: 1.7;\r\n  color: var(--text-2);\r\n  margin: 0 0 20px;\r\n}\r\n.jalex-study .bio-content p:last-child{ margin-bottom: 0; }\r\n.jalex-study .bio-content p strong{\r\n  color: var(--text); font-weight: 700;\r\n}\r\n.jalex-study ul.press-row{ list-style: none; margin: 14px 0 0; padding: 0; display: flex; flex-wrap: wrap; gap: 10px; }\r\n.jalex-study .press-row a{ display: inline-flex; align-items: center; gap: 8px; padding: 10px 16px; font-family: var(--heading); font-size: 12.5px; font-weight: 600; color: var(--text); background: var(--bg-2); border: 1px solid var(--rule); border-radius: var(--radius); transition: all 180ms ease; }\r\n.jalex-study .press-row a:hover{ border-color: var(--gold); color: var(--gold); }\r\n.jalex-study .press-row a .arr::before{ content: \"\\2192\"; }\r\n.jalex-study .cta-band{\r\n  padding: clamp(96px, 12vw, 140px) 0;\r\n  background-color: var(--bg);\r\n  background-image: radial-gradient(rgba(255,255,255,0.028) 1px, transparent 1.6px);\r\n  background-size: 24px 24px;\r\n  text-align: center;\r\n  position: relative; overflow: hidden;\r\n}\r\n.jalex-study .cta-band::before{\r\n  content: \"\"; position: absolute;\r\n  top: 50%; left: 50%; width: 800px; height: 800px;\r\n  background: radial-gradient(circle, rgba(243,185,55,0.08), transparent 60%);\r\n  transform: translate(-50%, -50%);\r\n  pointer-events: none;\r\n}\r\n.jalex-study .cta-band .wrap{ position: relative; z-index: 1; }\r\n.jalex-study .cta-band h2{\r\n  font-size: clamp(40px, 6vw, 84px);\r\n  margin-bottom: 24px;\r\n}\r\n.jalex-study .cta-band p{\r\n  font-size: 17px; line-height: 1.6;\r\n  color: var(--text-2); max-width: 560px;\r\n  margin: 0 auto 36px;\r\n}\r\n.jalex-study .cta-band .ctas{\r\n  display: flex; gap: 14px; justify-content: center;\r\n  flex-wrap: wrap;\r\n}\r\n@media (prefers-reduced-motion: reduce) {\r\n.jalex-study .ribbon-track{ animation: none; }\r\n.jalex-study .btn,.jalex-study .btn .arr,.jalex-study .press-row a,.jalex-study .bio-side li a{ transition: none; }\r\n.jalex-study .btn-primary:hover{ transform: none; }\r\n}\r\n@media (max-width: 980px) {\r\n.jalex-study .bio-hero{\r\n    text-align: center;\r\n    background:\r\n      radial-gradient(ellipse at 50% 12%, rgba(243,185,55,0.1), transparent 55%),\r\n      linear-gradient(rgba(0,0,0,0.93), rgba(0,0,0,0.88)),\r\n      url(\"https:\/\/severeinjurylawyers.com\/wp-content\/uploads\/2026\/08\/texas-two-lane-road-center-line.webp\") center 55% \/ cover no-repeat,\r\n      var(--bg);\r\n  }\r\n.jalex-study .bio-hero-grid{\r\n    display: flex; flex-direction: column; align-items: center; gap: 28px;\r\n  }\r\n.jalex-study .bio-hero-text{ display: contents; }\r\n.jalex-study .bio-hero-eyebrow{ order: 1; margin-bottom: 0; max-width: 100%; flex-wrap: wrap; justify-content: center; }\r\n.jalex-study .bio-hero h1{ order: 2; margin-bottom: 0; max-width: 100%; }\r\n.jalex-study .bio-hero .role{ order: 3; margin-bottom: 0; justify-content: center; }\r\n.jalex-study .bio-hero-photo{\r\n    order: 4;\r\n    aspect-ratio: 4 \/ 5;\r\n    width: 100%; max-width: 540px; margin: 0 auto;\r\n  }\r\n.jalex-study .meta-stack{\r\n    order: 5; margin: 0 auto; width: 100%; max-width: 540px;\r\n  }\r\n.jalex-study .bio-body-grid{ grid-template-columns: 1fr; gap: 36px; }\r\n.jalex-study .bio-side{\r\n    position: sticky; top: 64px; z-index: 20;\r\n    max-height: none; overflow: hidden;\r\n    margin: 0; padding: 0;\r\n    background: rgba(8,8,8,0.94);\r\n    -webkit-backdrop-filter: blur(10px); backdrop-filter: blur(10px);\r\n    border: 1px solid var(--rule-2);\r\n    border-radius: 999px;\r\n    box-shadow: 0 12px 32px -14px rgba(0,0,0,0.85);\r\n  }\r\n.jalex-study .bio-side .side-title{ display: none; }\r\n.jalex-study .side-links{ display: none; }\r\n.jalex-study .bio-side ul{\r\n    flex-direction: row; flex-wrap: nowrap; gap: 6px;\r\n    overflow-x: auto; padding: 8px 16px;\r\n    scrollbar-width: none; -webkit-overflow-scrolling: touch;\r\n    scroll-padding: 0 24px;\r\n    -webkit-mask-image: linear-gradient(90deg, transparent 0, #000 16px, #000 calc(100% - 34px), transparent 100%);\r\n    mask-image: linear-gradient(90deg, transparent 0, #000 16px, #000 calc(100% - 34px), transparent 100%);\r\n  }\r\n.jalex-study .bio-side ul::-webkit-scrollbar{ display: none; }\r\n.jalex-study .bio-side li a{\r\n    border: 1px solid var(--rule-2);\r\n    border-radius: 999px; padding: 7px 13px;\r\n    white-space: nowrap; font-size: 12.5px;\r\n    background: var(--bg-2);\r\n  }\r\n.jalex-study .bio-side li a.active{\r\n    border-color: var(--gold); color: var(--gold);\r\n    background: rgba(243,185,55,0.08);\r\n  }\r\n.jalex-study .bio-content section[id],.jalex-study .cta-band[id]{ scroll-margin-top: 130px; }\r\n}\r\n@media (max-width: 720px) {\r\n.jalex-study .bio-hero h1{ font-size: clamp(28px, 8.2vw, 44px); }\r\n.jalex-study .bio-hero-eyebrow{ font-size: 10px; letter-spacing: 0.16em; }\r\n.jalex-study .meta-stack{ grid-template-columns: 1fr; }\r\n}\r\n.jalex-study .yc-fig{--yc-plot:200px;--yc-bar:46px;margin:1.4rem 0;background:var(--bg-2);border:1px solid var(--rule-2);border-radius:6px;padding:1.2rem 1.2rem 1rem;position:relative;overflow:hidden}\r\n.jalex-study .yc-fig figcaption{display:block;margin:0 0 1.2rem;padding:0;text-align:left;font-style:normal;font-weight:400}\r\n.jalex-study .yc-title{display:block;font-family:var(--mono);font-size:.68rem;letter-spacing:.14em;text-transform:uppercase;color:var(--gold);margin:0 0 .5rem}\r\n.jalex-study .yc-take{display:block;font-family:var(--body);font-size:.95rem;line-height:1.5;color:var(--text-2);max-width:62ch}\r\n.jalex-study .yc-sr,.jalex-study .yc-table .yc-sr{position:absolute;width:1px;height:1px;margin:-1px;padding:0;overflow:hidden;clip:rect(0 0 0 0);clip-path:inset(50%);white-space:nowrap;border:0}\r\n.jalex-study .yc-table{display:grid;grid-template-columns:10.4rem repeat(7,minmax(0,1fr));align-items:start;width:100%;margin:0;border:0;border-collapse:collapse;background:transparent;font-variant-numeric:tabular-nums}\r\n.jalex-study .yc-table thead,.jalex-study .yc-table tbody,.jalex-study .yc-table tr{display:contents}\r\n.jalex-study .yc-table th,.jalex-study .yc-table td{grid-column:var(--c);border:0;background:transparent;padding:0;margin:0;min-width:0;text-align:center;font-weight:400;vertical-align:baseline}\r\n.jalex-study .yc-table thead th{grid-column:1;text-align:left;font-family:var(--mono);font-size:.6rem;letter-spacing:.12em;text-transform:uppercase;color:var(--muted);line-height:1.45;padding-right:1rem}\r\n.jalex-study .yc-table .yc-h-val{grid-row:2;padding-top:.15rem}\r\n.jalex-study .yc-table .yc-h-year{grid-row:3;align-self:baseline}\r\n.jalex-study .yc-table .yc-h-chg{grid-row:4;align-self:baseline}\r\n.jalex-study .yc-table .yc-note{grid-row:1;min-height:1.2rem;font-family:var(--mono);font-size:.64rem;font-weight:600;letter-spacing:.14em;text-transform:uppercase;line-height:1.2rem;color:var(--text-2);white-space:nowrap}\r\n.jalex-study .yc-table .yc-val{grid-row:2;position:relative;display:flex;flex-direction:column;justify-content:flex-end;align-items:center;height:calc(var(--yc-plot) + 1.7rem);border-bottom:1px solid var(--rule-2)}\r\n.jalex-study .yc-table .yc-val::before{content:\"\";position:absolute;left:50%;bottom:0;transform:translateX(-50%);width:min(100%,var(--yc-bar));height:var(--yc-plot);background:rgba(250,250,250,0.06);border-radius:4px 4px 0 0}\r\n.jalex-study .yc-table .yc-val::after{content:\"\";position:relative;display:block;flex:0 0 auto;width:min(100%,var(--yc-bar));height:calc(var(--yc-plot) * var(--v));background:rgba(250,250,250,0.35);border-radius:4px 4px 0 0}\r\n.jalex-study .yc-num{position:relative;display:block;margin:0 0 .45rem;font-family:var(--mono);font-size:.78rem;line-height:1;color:var(--text-2)}\r\n.jalex-study .yc-table .yc-year{grid-row:3;align-self:baseline;padding-top:.6rem;font-family:var(--mono);font-size:.68rem;letter-spacing:.02em;line-height:1;color:var(--muted)}\r\n.jalex-study .yc-table .yc-chg{grid-row:4;align-self:baseline;padding-top:.45rem;font-family:var(--mono);font-size:.64rem;letter-spacing:.02em;line-height:1;color:var(--muted);white-space:nowrap}\r\n.jalex-study .yc-table .yc-pk .yc-num,.jalex-study .yc-table .yc-lo .yc-num{color:var(--text)}\r\n.jalex-study .yc-table .yc-hi .yc-val::after{background:linear-gradient(180deg,var(--gold),var(--gold-deep))}\r\n.jalex-study .yc-table .yc-hi .yc-num,.jalex-study .yc-table .yc-hi .yc-year,.jalex-study .yc-table .yc-hi .yc-note{color:var(--gold);font-weight:700}\r\n.jalex-study .yc-table .yc-hi .yc-chg{color:var(--text-2);font-weight:700}\r\n.jalex-study .yc-src{margin-top:1rem;font-family:var(--mono);font-size:.64rem;letter-spacing:.04em;line-height:1.6;color:var(--muted)}\r\n@media (max-width:900px){\r\n.jalex-study .yc-fig{--yc-bar:38px}\r\n}\r\n@media (max-width:720px){\r\n.jalex-study .yc-fig{--yc-plot:150px;--yc-bar:26px;padding:1rem .9rem .85rem}\r\n.jalex-study .yc-take{font-size:.9rem}\r\n.jalex-study .yc-table{grid-template-columns:0 repeat(7,minmax(0,1fr))}\r\n.jalex-study .yc-table thead th{grid-column:2 \/ -1;padding-right:0}\r\n.jalex-study .yc-table .yc-h-val,.jalex-study .yc-table .yc-h-year{position:absolute;width:1px;height:1px;margin:-1px;padding:0;overflow:hidden;clip:rect(0 0 0 0);clip-path:inset(50%);white-space:nowrap;border:0}\r\n.jalex-study .yc-table .yc-h-chg{grid-row:4;align-self:start;font-size:.6rem;letter-spacing:.1em;padding-top:.9rem}\r\n.jalex-study .yc-table .yc-chg{grid-row:5;padding-top:.3rem;font-size:.6rem;letter-spacing:0}\r\n.jalex-study .yc-table .yc-note{font-size:.6rem;letter-spacing:.06em}\r\n.jalex-study .yc-num{font-size:.7rem}\r\n.jalex-study .yc-table .yc-year{font-size:.62rem;letter-spacing:0}\r\n}\r\n@media print{\r\n.jalex-study .yc-table .yc-val::before{background:#e6e6e6}\r\n.jalex-study .yc-table .yc-val::after,.jalex-study .yc-table .yc-hi .yc-val::after{background:#000}\r\n}\r\n.jalex-study .tag{ font-family: var(--mono); font-size: .7rem; letter-spacing: .06em; color: var(--muted); white-space: nowrap; }\r\n.jalex-study .tag a,.jalex-study .tag-list a{ color: inherit; text-decoration: underline; text-decoration-style: dotted; text-decoration-color: rgba(250,250,250,.45); text-underline-offset: .15em; }\r\n.jalex-study .tag a:hover,.jalex-study .tag-list a:hover{ color: var(--gold); text-decoration: underline; }\r\n.jalex-study .bio-content p.tag-list{ font-family: var(--mono); font-size: .7rem; letter-spacing: .06em; color: var(--muted); line-height: 1.7; margin: .4rem 0 1.4rem; }\r\n.jalex-study .bio-content p.callout{ background: rgba(243,185,55,.08); border: 1px solid rgba(243,185,55,.35); border-radius: 6px; padding: 1rem 1.2rem; color: var(--text); font-weight: 600; font-size: .98rem; line-height: 1.65; margin: 1.2rem 0; }\r\n.jalex-study .bio-content p.note{ font-family: var(--mono); font-size: 11px; letter-spacing: .04em; color: var(--muted); line-height: 1.6; margin: 1rem 0 0; }\r\n.jalex-study .bio-content p.note + p:not(.note):not(.callout):not(.tag-list){ margin-top: 1.2rem; }\r\n.jalex-study .bio-content h3.sub{ font-size: 1.2rem; color: var(--text); margin: 2.4rem 0 .9rem; font-weight: 700; letter-spacing: .01em; }\r\n.jalex-study ul.bars{ display: flex; flex-direction: column; gap: .65rem; margin: 1rem 0 1.2rem; padding: 0; list-style: none; }\r\n.jalex-study ul.bars li{ display: flex; gap: .7rem; align-items: flex-start; color: var(--text-2); font-size: .95rem; line-height: 1.6; margin: 0; padding: 0; }\r\n.jalex-study ul.bars .rule{ flex: none; width: 3px; align-self: stretch; background: var(--gold); border-radius: 2px; }\r\n.jalex-study a.lnk{ color: var(--gold); text-decoration: underline; text-decoration-thickness: 1px; text-underline-offset: .16em; text-decoration-color: rgba(243,185,55,.55); }\r\n.jalex-study a.lnk:hover{ text-decoration-color: var(--gold); }\r\n.jalex-study a:focus-visible,.jalex-study .ledger-wrap:focus-visible{ outline: 2px solid var(--gold); outline-offset: 2px; border-radius: 2px; }\r\n.jalex-study .hb-fig{ margin: 1.4rem 0; background: var(--bg-2); border: 1px solid var(--rule-2); border-radius: 6px; padding: 1.2rem 1.2rem 1rem; position: relative; }\r\n.jalex-study .hb-fig figcaption{ font-family: var(--mono); font-size: .68rem; letter-spacing: .14em; text-transform: uppercase; color: var(--gold); margin: 0 0 .9rem; text-align: left; font-style: normal; font-weight: 400; }\r\n.jalex-study .hb-table{ display: block; width: 100%; margin: 0; border: 0; border-collapse: collapse; background: transparent; }\r\n.jalex-study .hb-table tbody{ display: flex; flex-direction: column; gap: .55rem; }\r\n.jalex-study .hb-table tr{ display: grid; grid-template-columns: minmax(92px,32%) minmax(0,1fr); gap: .6rem; align-items: center; background: transparent; border: 0; }\r\n.jalex-study .hb-table th,.jalex-study .hb-table td{ padding: 0; margin: 0; border: 0; background: transparent; text-align: left; vertical-align: middle; }\r\n.jalex-study .hb-table tbody th{ font-family: var(--mono); font-size: .68rem; letter-spacing: .02em; color: var(--muted); line-height: 1.35; font-weight: 400; text-transform: none; }\r\n.jalex-study .hb-table td{ display: grid; grid-template-columns: minmax(60px,1fr) 78px; gap: .6rem; align-items: center; }\r\n.jalex-study .hb-track{ display: block; height: 12px; background: rgba(250,250,250,0.06); border-radius: 2px; }\r\n.jalex-study .hb-fill{ display: block; height: 12px; background: rgba(250,250,250,0.35); border-radius: 2px; }\r\n.jalex-study .hb-num{ font-family: var(--mono); font-size: .72rem; color: var(--text-2); text-align: right; }\r\n.jalex-study .hb-gold .hb-fill{ background: linear-gradient(90deg,var(--gold),var(--gold-deep)); }\r\n.jalex-study .hb-gold .hb-num{ color: var(--gold); }\r\n.jalex-study .hb-note{ font-family: var(--mono); font-size: .64rem; letter-spacing: .04em; color: var(--muted); margin-top: .9rem; line-height: 1.6; }\r\n.jalex-study dl.meta-stack{ margin-top: 0; }\r\n.jalex-study .meta-stack dt,.jalex-study .meta-stack dd{ margin: 0; }\r\n.jalex-study .service-ribbon:hover .ribbon-track{ animation-play-state: paused; }\r\n.jalex-study .dtable tbody th{ text-align: left; font-family: inherit; font-size: inherit; letter-spacing: 0; text-transform: none; color: var(--text); font-weight: 700; padding: .5rem .7rem; border-bottom: 1px solid var(--rule-2); vertical-align: top; }\r\n.jalex-study .ledger tr[id]{ scroll-margin-top: 150px; }\r\n.jalex-study .ledger tr:target{ background: rgba(243,185,55,.08); }\r\n.jalex-study .dtable tbody tr.grp th{ font-family: var(--mono); font-size: .66rem; letter-spacing: .14em; text-transform: uppercase; color: var(--gold); font-weight: 700; padding-top: 1.1rem; }\r\n.jalex-study .ledger-wrap{ container-type: inline-size; }\r\n.jalex-study .ledger-wrap .dtable caption{ position: sticky; left: 0; max-width: 100cqw; box-sizing: border-box; }\r\n.jalex-study .dtable.w520{ min-width: 520px; }\r\n.jalex-study .dtable.w560{ min-width: 560px; }\r\n.jalex-study .dtable.w620{ min-width: 620px; }\r\n.jalex-study .dtable.w660{ min-width: 660px; }\r\n.jalex-study .dtable.w720{ min-width: 720px; }\r\n.jalex-study 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font-weight: 400; white-space: nowrap; }\r\n.jalex-study .ledger td:nth-child(5){ color: var(--gold); font-weight: 700; }\r\n.jalex-study .data-pre{ margin: 1rem 0 0; white-space: pre; overflow-x: auto; font-family: var(--mono); font-size: .66rem; line-height: 1.55; color: var(--text-2); }\r\n.jalex-study .data-box{ margin: 1.2rem 0; border: 1px solid var(--rule-2); border-radius: 6px; padding: .9rem 1.1rem; background: var(--bg-2); }\r\n.jalex-study .data-box summary{ cursor: pointer; font-family: var(--mono); font-size: .72rem; letter-spacing: .12em; text-transform: uppercase; color: var(--gold); }\r\n<\/style>\r\n<style media=\"print\">\r\n.jalex-study{ font-size: 12pt; }\r\n.jalex-study *{ background: #fff !important; color: #000 !important; box-shadow: none !important; text-shadow: none !important; content-visibility: visible !important; }\r\n.jalex-study .service-ribbon,.jalex-study .btn .arr,.jalex-study .press-row a .arr,.jalex-study .bio-side{ display: none !important; }\r\n.jalex-study .bio-hero-photo::after,.jalex-study .cta-band::before{ content: none !important; }\r\n.jalex-study .bio-body-grid{ display: block; }\r\n.jalex-study .press-row a,.jalex-study .meta-stack .cell{ border: 1pt solid #000 !important; break-inside: avoid; }\r\n.jalex-study .btn{ border: 1pt solid #000 !important; }\r\n.jalex-study .bio-hero-photo{ box-shadow: none; border: 1pt solid #000; }\r\n.jalex-study .bio-content ul[role=\"list\"] > li,.jalex-study .bio-content ol[role=\"list\"] > li{ break-inside: avoid; }\r\n<\/style>\r\n<article class=\"jalex-study\">\r\n\r\n  <section class=\"bio-hero\" aria-labelledby=\"hero-title\">\r\n    <div class=\"bio-hero-grid\">\r\n      <div class=\"bio-hero-text\">\r\n        <div class=\"bio-hero-eyebrow\">\r\n          <span class=\"stripe\"><\/span>\r\n          <span>Original Data Study | 2025 CRIS Data<\/span>\r\n        <\/div>\r\n        <h1 id=\"hero-title\">\r\n          <span class=\"first\">The Texas Head On<\/span>\r\n          <span class=\"last\">Collision Index<\/span>\r\n        <\/h1>\r\n        <p class=\"hero-lede\">A rare crash type with a disproportionate fatal toll. In 2025, Texas recorded 7,783 reportable head on crashes, just 1.4% of reportable crashes. Yet 432 were fatal, 12.4% of the state&#39;s fatal crashes.<\/p>\r\n        <p class=\"hero-sub\">This original analysis of TxDOT CRIS records examines Texas head on crashes from 2019 through 2025, including severity, deaths, rural and urban location, road class, posted speed, timing, light and weather conditions, road design, counties, highways, and officer recorded factors.<\/p>\r\n        <div class=\"role\">\r\n          <span class=\"pill\">TxDOT CRIS | 2019 to 2025<\/span>\r\n          <span>Texas &middot; 12 cities &middot; TxDOT CRIS public query accessed <time datetime=\"2026-09-23\">September 23, 2026<\/time><\/span>\r\n        <\/div>\r\n        <dl class=\"meta-stack\">\r\n          <div class=\"cell\">\r\n            <dt class=\"k\">Head on crashes, 2025<\/dt>\r\n            <dd class=\"v gold\">7,783<\/dd>\r\n          <\/div>\r\n          <div class=\"cell\">\r\n            <dt class=\"k\">Share of reportable crashes<\/dt>\r\n            <dd class=\"v\">1.4%<\/dd>\r\n          <\/div>\r\n          <div class=\"cell\">\r\n            <dt class=\"k\">Fatal head on crashes, 2025<\/dt>\r\n            <dd class=\"v\">432<\/dd>\r\n          <\/div>\r\n          <div class=\"cell\">\r\n            <dt class=\"k\">People killed, 2025<\/dt>\r\n            <dd class=\"v\">554<\/dd>\r\n          <\/div>\r\n        <\/dl>\r\n      <\/div>\r\n      <div class=\"bio-hero-photo stat-photo\">\r\n        <div class=\"stat-panel\">\r\n          <div class=\"stat-k\">Texas, 2025<\/div>\r\n          <div class=\"stat-big\">About 1 in 18 was fatal<\/div>\r\n          <ul role=\"list\" class=\"stat-list\">\r\n            <li><span class=\"sn g\">5.55%<\/span> <span class=\"st\">of head on crashes were fatal, compared with 0.64% of all crashes<\/span><\/li>\r\n            <li><span class=\"sn\">#1<\/span> <span class=\"st\">fatal rate of any collision type, every year from 2019 to 2025<\/span><\/li>\r\n            <li><span class=\"sn\">73.4%<\/span> <span class=\"st\">of fatal head on crashes happened in rural areas<\/span><\/li>\r\n            <li><span class=\"sn g\">80.6%<\/span> <span class=\"st\">of fatal head on crashes were on roads posted 55 mph or higher<\/span><\/li>\r\n          <\/ul>\r\n        <\/div>\r\n      <\/div>\r\n    <\/div>\r\n  <\/section>\r\n\r\n  <div class=\"service-ribbon\" aria-hidden=\"true\">\r\n    <div class=\"ribbon-track\">\r\n      <div class=\"item\">\r\n        <span>&#9733;<\/span>\r\n        <span>TxDOT CRIS<\/span><span class=\"dot\">&middot;<\/span><span>2025 Data<\/span><span class=\"dot\">&middot;<\/span><span>Code 30 Head On Crashes<\/span><span class=\"dot\">&middot;<\/span><span>Texas and 12 Cities<\/span><span class=\"dot\">&middot;<\/span><span>Public Records Only<\/span><span class=\"dot\">&middot;<\/span>\r\n      <\/div>\r\n      <div class=\"item\" aria-hidden=\"true\">\r\n        <span>&#9733;<\/span>\r\n        <span>TxDOT CRIS<\/span><span class=\"dot\">&middot;<\/span><span>2025 Data<\/span><span class=\"dot\">&middot;<\/span><span>Code 30 Head On Crashes<\/span><span class=\"dot\">&middot;<\/span><span>Texas and 12 Cities<\/span><span class=\"dot\">&middot;<\/span><span>Public Records Only<\/span><span class=\"dot\">&middot;<\/span>\r\n      <\/div>\r\n    <\/div>\r\n  <\/div>\r\n\r\n  <div class=\"bio-body\">\r\n    <div class=\"wrap\">\r\n      <div class=\"bio-body-grid\">\r\n\r\n        <aside class=\"bio-side\" aria-label=\"Page navigation and related links\">\r\n          <div class=\"side-title\">On this page<\/div>\r\n          <nav aria-label=\"On this page\">\r\n          <ul role=\"list\">\r\n            <li><a href=\"#answer\"><span class=\"n\" aria-hidden=\"true\">01<\/span> <span class=\"t\">The Answer<\/span><\/a><\/li>\r\n            <li><a href=\"#severity\"><span class=\"n\" aria-hidden=\"true\">02<\/span> <span class=\"t\">Severity<\/span><\/a><\/li>\r\n            <li><a href=\"#where\"><span class=\"n\" aria-hidden=\"true\">03<\/span> <span class=\"t\">Where<\/span><\/a><\/li>\r\n            <li><a href=\"#when\"><span class=\"n\" aria-hidden=\"true\">04<\/span> <span class=\"t\">When<\/span><\/a><\/li>\r\n            <li><a href=\"#factors\"><span class=\"n\" aria-hidden=\"true\">05<\/span> <span class=\"t\">Factors<\/span><\/a><\/li>\r\n            <li><a href=\"#design\"><span class=\"n\" aria-hidden=\"true\">06<\/span> <span class=\"t\">Road Design<\/span><\/a><\/li>\r\n            <li><a href=\"#counties\"><span class=\"n\" aria-hidden=\"true\">07<\/span> <span class=\"t\">Counties<\/span><\/a><\/li>\r\n            <li><a href=\"#highways\"><span class=\"n\" aria-hidden=\"true\">08<\/span> <span class=\"t\">Highways<\/span><\/a><\/li>\r\n            <li><a href=\"#cities\"><span class=\"n\" aria-hidden=\"true\">09<\/span> <span class=\"t\">Cities and Regions<\/span><\/a><\/li>\r\n            <li><a href=\"#trauma\"><span class=\"n\" aria-hidden=\"true\">10<\/span> <span class=\"t\">Trauma Care<\/span><\/a><\/li>\r\n            <li><a href=\"#cost\"><span class=\"n\" aria-hidden=\"true\">11<\/span> <span class=\"t\">What It Costs<\/span><\/a><\/li>\r\n            <li><a href=\"#data\"><span class=\"n\" aria-hidden=\"true\">12<\/span> <span class=\"t\">Get the Data<\/span><\/a><\/li>\r\n            <li><a href=\"#methods\"><span class=\"n\" aria-hidden=\"true\">13<\/span> <span class=\"t\">Methods<\/span><\/a><\/li>\r\n            <li><a href=\"#sources\"><span class=\"n\" aria-hidden=\"true\">14<\/span> <span class=\"t\">Sources<\/span><\/a><\/li>\r\n            <li><a href=\"#about\"><span class=\"n\" aria-hidden=\"true\">15<\/span> <span class=\"t\">About<\/span><\/a><\/li>\r\n          <\/ul>\r\n          <\/nav>\r\n          <div class=\"side-links\">\r\n            <div class=\"side-title\">Explore the firm<\/div>\r\n            <ul role=\"list\">\r\n              <li><a href=\"https:\/\/severeinjurylawyers.com\/tools\/\">More Texas Crash Research <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a><\/li>\r\n              <li><a href=\"https:\/\/severeinjurylawyers.com\/practice-areas\/car-accident-lawyers\/head-on-collisions\/\">Head On Collision Lawyers <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a><\/li>\r\n              <li><a href=\"https:\/\/severeinjurylawyers.com\/practice-areas\/wrongful-death-lawyers\/\">Wrongful Death Lawyers <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a><\/li>\r\n              <li><a href=\"https:\/\/severeinjurylawyers.com\/contact-us\/\">Contact the Firm <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a><\/li>\r\n            <\/ul>\r\n          <\/div>\r\n        <\/aside>\r\n        <div class=\"bio-content\">\r\n          <section id=\"answer\" aria-labelledby=\"answer-title\">\r\n            <h2 id=\"answer-title\">1.4% of Crashes, <span class=\"accent\">12.4% of Fatal Crashes<\/span><\/h2>\r\n<h3 class=\"sub\">What the 2025 Data Shows<\/h3>\r\n<ul class=\"bars\" role=\"list\">\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>About 1 in 18 head on crashes was fatal, compared with about 1 in 155 reportable crashes statewide. <span class=\"tag\">[<a href=\"#HO-001\">HO-001<\/a>]<\/span><\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>73.4% of fatal head on crashes occurred in rural areas. <span class=\"tag\">[<a href=\"#HO-002\">HO-002<\/a>]<\/span><\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>77.5% of fatal head on crashes occurred on US highways, state highways, or Farm to Market roads. <span class=\"tag\">[<a href=\"#HO-003\">HO-003<\/a>]<\/span><\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>Roads posted at 55 mph or more accounted for 80.6% of fatal head on crashes. <span class=\"tag\">[<a href=\"#HO-004\">HO-004<\/a>]<\/span><\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>The 432 fatal head on crashes recorded in CRIS involved 554 deaths. <span class=\"tag\">[<a href=\"#HO-005\">HO-005<\/a>]<\/span><\/span><\/li>\r\n<\/ul>\r\n            <p>The Texas Head On Collision Index is J. Alexander Law Firm&#39;s original analysis of publicly available TxDOT Crash Records Information System data. The study identifies reportable crashes coded as &quot;opposite direction, both going straight&quot; and examines Texas patterns from 2019 through 2025, including crash severity, deaths, rural and urban location, road class, posted speed, light conditions, timing, road design, counties, highways, and officer recorded contributing factors.<\/p>\r\n<p class=\"note\">What this study measures: officer reported, TxDOT reportable crashes coded in CRIS as manner of collision code 30. Unless otherwise stated, results describe crash records, not legal fault, the cause of an individual collision, all medical injuries diagnosed after a crash, or every head on type impact that may be described differently in ordinary language.<\/p>\r\n            <p>In 2025, TxDOT&#39;s Crash Records Information System lists 7,783 head on crashes among 539,112 reportable crashes, as queried <time datetime=\"2026-09-23\">September 23, 2026<\/time>. That is 1.4% of all reportable crashes. The same 7,783 crashes included 432 fatal crashes, 12.4% of the 3,471 fatal crashes in the state. <span class=\"tag\">[<a href=\"#HO-006\">HO-006<\/a>, <a href=\"#HO-007\">HO-007<\/a>, <a href=\"#HO-008\">HO-008<\/a>, <a href=\"#HO-009\">HO-009<\/a>]<\/span><\/p>\r\n<p class=\"note\">TxDOT&#39;s published 2025 Crash Facts total is 538,860 reportable crashes, processed through April 7, 2026. A CRIS public query run on September 23, 2026 returned 539,112, a difference of 252 crashes, or 0.05%, consistent with later processed reports. The head on count was confirmed with a second, independent CRIS crash count. <span class=\"tag\">[<a href=\"#HO-007\">HO-007<\/a>]<\/span><\/p>\r\n<p class=\"callout\">Definition used throughout: A head on crash is a reportable crash coded in CRIS under manner of collision code 30, &quot;Opposite direction, both going straight.&quot; This study does not combine it with opposite direction turning crashes, angle crashes, sideswipes, or single vehicle crashes. In 2025, 7,783 Texas crashes carried code 30. <span class=\"tag\">[<a href=\"#HO-006\">HO-006<\/a>]<\/span><\/p>\r\n            <p>TxDOT&#39;s annual Crash Facts reports publish a head on death count but no head on crash table by severity, road, or city. The figures on this page were calculated directly from TxDOT&#39;s <a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">Crash Records Information System<\/a> and checked against TxDOT&#39;s published totals.<\/p>\r\n            <p>The count has been steady. From 2019 through 2025, Texas recorded between 6,989 and 8,323 head on crashes a year, always about 1.4% to 1.5% of reportable crashes, and between 408 and 479 fatal head on crashes a year. <span class=\"tag\">[<a href=\"#HO-010\">HO-010<\/a>]<\/span><\/p>\r\n<figure class=\"yc-fig\" aria-label=\"Column chart of fatal head on crashes in Texas by year, 2019 to 2025\">\r\n<figcaption><span class=\"yc-title\">Fatal Head On Crashes in Texas by Year<\/span>\r\n<span class=\"yc-take\">Fatal head on crashes ranged from 408 in 2020 to 479 in 2023, and 2025 had 432, 24 fewer than 2024 and the fewest since 2020.<\/span><\/figcaption>\r\n<table class=\"yc-table\" role=\"table\"><caption class=\"yc-sr\">Fatal head on crashes in Texas by year, 2019 to 2025, with the change from the prior year<\/caption>\r\n<thead role=\"rowgroup\"><tr role=\"row\"><th scope=\"col\" role=\"columnheader\" class=\"yc-h-year\">Year<\/th> <th scope=\"col\" role=\"columnheader\" class=\"yc-h-val\">Fatal head on crashes<\/th> <th scope=\"col\" role=\"columnheader\" class=\"yc-h-chg\">Change from prior year<\/th> <th scope=\"col\" role=\"columnheader\" class=\"yc-sr\">Note<\/th><\/tr><\/thead>\r\n<tbody role=\"rowgroup\">\r\n<tr role=\"row\" style=\"--c:2;--v:.9603\"><th scope=\"row\" role=\"rowheader\" class=\"yc-year\">2019<\/th> <td role=\"cell\" class=\"yc-val\"><span class=\"yc-num\">460<\/span><\/td> <td role=\"cell\" class=\"yc-chg\"><span class=\"yc-sr\">No prior year shown<\/span><\/td> <td role=\"cell\" class=\"yc-note\"><\/td><\/tr>\r\n<tr role=\"row\" class=\"yc-lo\" style=\"--c:3;--v:.8518\"><th scope=\"row\" role=\"rowheader\" class=\"yc-year\">2020<\/th> <td role=\"cell\" class=\"yc-val\"><span class=\"yc-num\">408<\/span><\/td> <td role=\"cell\" class=\"yc-chg\">&#8722;52<\/td> <td role=\"cell\" class=\"yc-note\">Lowest<\/td><\/tr>\r\n<tr role=\"row\" style=\"--c:4;--v:.9562\"><th scope=\"row\" role=\"rowheader\" class=\"yc-year\">2021<\/th> <td role=\"cell\" class=\"yc-val\"><span class=\"yc-num\">458<\/span><\/td> <td role=\"cell\" class=\"yc-chg\">+50<\/td> <td role=\"cell\" class=\"yc-note\"><\/td><\/tr>\r\n<tr role=\"row\" style=\"--c:5;--v:.9749\"><th scope=\"row\" role=\"rowheader\" class=\"yc-year\">2022<\/th> <td role=\"cell\" class=\"yc-val\"><span class=\"yc-num\">467<\/span><\/td> <td role=\"cell\" class=\"yc-chg\">+9<\/td> <td role=\"cell\" class=\"yc-note\"><\/td><\/tr>\r\n<tr role=\"row\" class=\"yc-pk\" style=\"--c:6;--v:1\"><th scope=\"row\" role=\"rowheader\" class=\"yc-year\">2023<\/th> <td role=\"cell\" class=\"yc-val\"><span class=\"yc-num\">479<\/span><\/td> <td role=\"cell\" class=\"yc-chg\">+12<\/td> <td role=\"cell\" class=\"yc-note\">Peak<\/td><\/tr>\r\n<tr role=\"row\" style=\"--c:7;--v:.9520\"><th scope=\"row\" role=\"rowheader\" class=\"yc-year\">2024<\/th> <td role=\"cell\" class=\"yc-val\"><span class=\"yc-num\">456<\/span><\/td> <td role=\"cell\" class=\"yc-chg\">&#8722;23<\/td> <td role=\"cell\" class=\"yc-note\"><\/td><\/tr>\r\n<tr role=\"row\" class=\"yc-hi\" style=\"--c:8;--v:.9019\"><th scope=\"row\" role=\"rowheader\" class=\"yc-year\">2025<\/th> <td role=\"cell\" class=\"yc-val\"><span class=\"yc-num\">432<\/span><\/td> <td role=\"cell\" class=\"yc-chg\">&#8722;24<\/td> <td role=\"cell\" class=\"yc-note\">Latest<\/td><\/tr>\r\n<\/tbody><\/table>\r\n<div class=\"yc-src\">Fatal crashes are crashes with a K, fatal, crash severity code. Columns are drawn to scale from zero. Counts reflect a CRIS public query run September 23, 2026. <span class=\"tag\">[<a href=\"#HO-010\">HO-010<\/a>]<\/span><\/div><\/figure>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-1\"><table class=\"dtable w620\">\r\n              <caption id=\"tbl-1\">Texas Head On Crashes by Year<\/caption>\r\n              <thead><tr><th scope=\"col\">Year<\/th> <th scope=\"col\">All Crashes<\/th> <th scope=\"col\">Head On<\/th> <th scope=\"col\">Share<\/th> <th scope=\"col\">Fatal<\/th> <th scope=\"col\">Fatal or Serious<\/th> <th scope=\"col\">Fatal Rate<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">2019<\/th> <td>562,258<\/td> <td>7,715<\/td> <td>1.37%<\/td> <td class=\"g\">460<\/td> <td>1,110<\/td> <td>5.96%<\/td><\/tr>\r\n                <tr><th scope=\"row\">2020<\/th> <td>475,275<\/td> <td>6,989<\/td> <td>1.47%<\/td> <td class=\"g\">408<\/td> <td>976<\/td> <td>5.84%<\/td><\/tr>\r\n                <tr><th scope=\"row\">2021<\/th> <td>552,707<\/td> <td>8,323<\/td> <td>1.51%<\/td> <td class=\"g\">458<\/td> <td>1,299<\/td> <td>5.50%<\/td><\/tr>\r\n                <tr><th scope=\"row\">2022<\/th> <td>555,691<\/td> <td>8,052<\/td> <td>1.45%<\/td> <td class=\"g\">467<\/td> <td>1,182<\/td> <td>5.80%<\/td><\/tr>\r\n                <tr><th scope=\"row\">2023<\/th> <td>559,734<\/td> <td>8,120<\/td> <td>1.45%<\/td> <td class=\"g\">479<\/td> <td>1,235<\/td> <td>5.90%<\/td><\/tr>\r\n                <tr><th scope=\"row\">2024<\/th> <td>555,039<\/td> <td>8,141<\/td> <td>1.47%<\/td> <td class=\"g\">456<\/td> <td>1,183<\/td> <td>5.60%<\/td><\/tr>\r\n                <tr><th scope=\"row\">2025<\/th> <td>539,112<\/td> <td>7,783<\/td> <td>1.44%<\/td> <td class=\"g\">432<\/td> <td>1,122<\/td> <td>5.55%<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n\r\n          <\/section>\r\n          <section id=\"severity\" aria-labelledby=\"severity-title\">\r\n            <h2 id=\"severity-title\">The Highest Fatal Rate <span class=\"accent\">of Any Collision Type<\/span><\/h2>\r\n            <p>About 1 in 18 Texas head on crashes was fatal in 2025: 5.55%, compared with 0.64% of all reportable crashes, about 1 in 155. Another way to measure it: 14.42% of head on crashes were coded fatal or suspected serious injury, classified as KA crashes, compared with 3.32% of all crashes. <span class=\"tag\">[<a href=\"#HO-001\">HO-001<\/a>, <a href=\"#HO-011\">HO-011<\/a>]<\/span><\/p>\r\n<p class=\"callout\">Head on crashes had the highest fatal rate and the highest fatal or serious injury rate of all 42 manner of collision categories recorded in CRIS in 2025. They also had the highest fatal rate of any category in every year from 2019 through 2025. <span class=\"tag\">[<a href=\"#HO-012\">HO-012<\/a>]<\/span><\/p>\r\n<figure class=\"hb-fig\">\r\n<figcaption>Fatal Rate by Manner of Collision, Texas, 2025<\/figcaption>\r\n<table class=\"hb-table\" role=\"table\"><caption class=\"yc-sr\">Bar chart comparing the fatal crash rate of head on crashes with other Texas crash types, 2025<\/caption>\r\n<thead class=\"yc-sr\" role=\"rowgroup\"><tr role=\"row\"><th scope=\"col\" role=\"columnheader\">Manner of collision<\/th> <th scope=\"col\" role=\"columnheader\">Fatal rate<\/th><\/tr><\/thead>\r\n<tbody role=\"rowgroup\">\r\n<tr role=\"row\" class=\"hb-gold\"><th scope=\"row\" role=\"rowheader\">Head on<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:100.0%\"><\/span><\/span> <span class=\"hb-num\">5.55%<\/span><\/td><\/tr>\r\n<tr role=\"row\"><th scope=\"row\" role=\"rowheader\">One vehicle going straight<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:30.6%\"><\/span><\/span> <span class=\"hb-num\">1.70%<\/span><\/td><\/tr>\r\n<tr role=\"row\"><th scope=\"row\" role=\"rowheader\">All reportable crashes<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:11.6%\"><\/span><\/span> <span class=\"hb-num\">0.64%<\/span><\/td><\/tr>\r\n<tr role=\"row\"><th scope=\"row\" role=\"rowheader\">Opposite direction, left turn<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:9.8%\"><\/span><\/span> <span class=\"hb-num\">0.55%<\/span><\/td><\/tr>\r\n<tr role=\"row\"><th scope=\"row\" role=\"rowheader\">Angle, both going straight<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:6.7%\"><\/span><\/span> <span class=\"hb-num\">0.37%<\/span><\/td><\/tr>\r\n<tr role=\"row\"><th scope=\"row\" role=\"rowheader\">Rear end (codes 20 and 22)<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:3.9%\"><\/span><\/span> <span class=\"hb-num\">0.22%<\/span><\/td><\/tr>\r\n<tr role=\"row\"><th scope=\"row\" role=\"rowheader\">Same direction sideswipe<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:2.2%\"><\/span><\/span> <span class=\"hb-num\">0.12%<\/span><\/td><\/tr>\r\n<\/tbody><\/table>\r\n<div class=\"hb-note\">Fatal rate is fatal crashes divided by all reportable crashes in each CRIS manner of collision category. Categories with small counts may produce volatile annual rates. CRIS public query run September 23, 2026. <span class=\"tag\">[<a href=\"#HO-013\">HO-013<\/a>]<\/span><\/div><\/figure>\r\n            <p>Single vehicle crashes, CRIS code 1, produced more fatal crashes in total, 1,864, because they are far more common. Their fatal rate, 1.70%, was less than a third of the head on rate. Rear end crashes, codes 20 and 22 combined, had a fatal rate of 0.22%. <span class=\"tag\">[<a href=\"#HO-013\">HO-013<\/a>]<\/span><\/p>\r\n<h3 class=\"sub\">How Many People Died<\/h3>\r\n            <p>In Texas, the 432 fatal head on crashes of 2025 involved 554 deaths, according to the death counts on the crash records. That is 14.7% of everyone killed in a reportable Texas crash. 99 of those crashes, 22.9%, killed two or more people, compared with 6.9% of all fatal crashes. <span class=\"tag\">[<a href=\"#HO-005\">HO-005<\/a>, <a href=\"#HO-014\">HO-014<\/a>, <a href=\"#HO-015\">HO-015<\/a>]<\/span><\/p>\r\n            <p>TxDOT&#39;s 2025 Crash Facts report lists 555 people killed in head on crashes. This study&#39;s CRIS code 30 query returned 554. The one death difference reflects the timing and processing status of public record updates, not a different definition: TxDOT&#39;s <a class=\"lnk\" href=\"https:\/\/ftp.dot.state.tx.us\/pub\/txdot-info\/library\/pubs\/gov\/shsp.pdf\" target=\"_blank\" rel=\"noopener\">Strategic Highway Safety Plan<\/a> defines a head on crash by the same CRIS code, and from 2019 through 2025 the two counts matched exactly in four of seven years and were within two deaths in every year. <span class=\"tag\">[<a href=\"#HO-016\">HO-016<\/a>, <a href=\"#HO-017\">HO-017<\/a>]<\/span><\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-15\"><table class=\"dtable w520\">\r\n              <caption id=\"tbl-15\">People Killed in Texas Head On Crashes<\/caption>\r\n              <thead><tr><th scope=\"col\">Year<\/th> <th scope=\"col\">TxDOT Crash Facts<\/th> <th scope=\"col\">CRIS Code 30, Sept 2026<\/th> <th scope=\"col\">Fatal Head On Crashes<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">2019<\/th> <td><a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/2019\/01.pdf\" target=\"_blank\" rel=\"noopener\" aria-label=\"595 people killed in head on crashes in 2019, TxDOT Crash Facts\">595<\/a><\/td> <td class=\"g\">595<\/td> <td>460<\/td><\/tr>\r\n                <tr><th scope=\"row\">2020<\/th> <td><a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/2020\/01.pdf\" target=\"_blank\" rel=\"noopener\" aria-label=\"539 people killed in head on crashes in 2020, TxDOT Crash Facts\">539<\/a><\/td> <td class=\"g\">539<\/td> <td>408<\/td><\/tr>\r\n                <tr><th scope=\"row\">2021<\/th> <td><a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/2021\/01.pdf\" target=\"_blank\" rel=\"noopener\" aria-label=\"609 people killed in head on crashes in 2021, TxDOT Crash Facts\">609<\/a><\/td> <td class=\"g\">608<\/td> <td>458<\/td><\/tr>\r\n                <tr><th scope=\"row\">2022<\/th> <td><a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/2022\/01.pdf\" target=\"_blank\" rel=\"noopener\" aria-label=\"635 people killed in head on crashes in 2022, TxDOT Crash Facts\">635<\/a><\/td> <td class=\"g\">635<\/td> <td>467<\/td><\/tr>\r\n                <tr><th scope=\"row\">2023<\/th> <td><a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/2023\/01.pdf\" target=\"_blank\" rel=\"noopener\" aria-label=\"635 people killed in head on crashes in 2023, TxDOT Crash Facts\">635<\/a><\/td> <td class=\"g\">635<\/td> <td>479<\/td><\/tr>\r\n                <tr><th scope=\"row\">2024<\/th> <td><a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/2024\/01.pdf\" target=\"_blank\" rel=\"noopener\" aria-label=\"617 people killed in head on crashes in 2024, TxDOT Crash Facts\">617<\/a><\/td> <td class=\"g\">619<\/td> <td>456<\/td><\/tr>\r\n                <tr><th scope=\"row\">2025<\/th> <td><a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/2025\/2025-texas-motor-vehicle-traffic-crash-facts.pdf\" target=\"_blank\" rel=\"noopener\" aria-label=\"555 people killed in head on crashes in 2025, TxDOT Crash Facts\">555<\/a><\/td> <td class=\"g\">554<\/td> <td>432<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n            <p>The person records show who was hurt. The 2025 head on crashes involved 23,051 people: 554 were killed and 1,313 more suffered suspected serious injuries. Of those killed, 416 were drivers and 109 were passengers. Motorcycle operators had the highest observed death share among the listed groups: 27 of the 132 operators involved in a 2025 head on crash were killed, or 20.5%. <span class=\"tag\">[<a href=\"#HO-018\">HO-018<\/a>, <a href=\"#HO-019\">HO-019<\/a>, <a href=\"#HO-020\">HO-020<\/a>]<\/span><\/p>\r\n<p class=\"note\">Important: person type, driver age, and commercial vehicle rows overlap, so the rows do not add to the total number of people involved. Age rows include motorcycle operators; 1,032 drivers with no recorded age and 11 drivers under 15 are not shown. Share killed is not shown for groups with fewer than 30 people.<\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-14\"><table class=\"dtable w620\">\r\n              <caption id=\"tbl-14\">Who Was Involved and Hurt in Texas Head On Crashes, 2025<\/caption>\r\n              <thead><tr><th scope=\"col\">Group<\/th> <th scope=\"col\">People Involved<\/th> <th scope=\"col\">Killed<\/th> <th scope=\"col\">Suspected Serious Injury<\/th> <th scope=\"col\">Share Killed<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">Drivers of cars, trucks, and other motor vehicles<\/th> <td>16,185<\/td> <td class=\"g\">416<\/td> <td>907<\/td> <td>2.6%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Passengers in those vehicles<\/th> <td>6,678<\/td> <td class=\"g\">109<\/td> <td>354<\/td> <td>1.6%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Motorcycle operators<\/th> <td>132<\/td> <td class=\"g\">27<\/td> <td>45<\/td> <td>20.5%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Motorcycle passengers<\/th> <td>4<\/td> <td class=\"g\">1<\/td> <td>2<\/td> <td>Too few to rate<\/td><\/tr>\r\n                <tr><th scope=\"row\">Pedestrians and bicyclists<\/th> <td>7<\/td> <td class=\"g\">1<\/td> <td>2<\/td> <td>Too few to rate<\/td><\/tr>\r\n                <tr><th scope=\"row\">Drivers ages 15 to 19<\/th> <td>1,131<\/td> <td class=\"g\">29<\/td> <td>84<\/td> <td>2.6%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Drivers ages 20 to 24<\/th> <td>1,799<\/td> <td class=\"g\">49<\/td> <td>121<\/td> <td>2.7%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Drivers ages 25 to 64<\/th> <td>10,830<\/td> <td class=\"g\">301<\/td> <td>640<\/td> <td>2.8%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Drivers 65 and older<\/th> <td>1,514<\/td> <td class=\"g\">63<\/td> <td>100<\/td> <td>4.2%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Anyone in a commercial motor vehicle<\/th> <td>1,732<\/td> <td class=\"g\">9<\/td> <td>30<\/td> <td>0.5%<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n            <p>Drivers 65 and older had a higher observed death share than younger drivers: 4.2% were killed, compared with 2.8% of drivers ages 25 to 64, 2.7% of drivers ages 20 to 24, and 2.6% of drivers ages 15 to 19. These are outcomes among people already involved in a head on crash, not population or travel adjusted risk rates. Deaths rarely occurred inside the commercial vehicle: 9 of the 554 people killed were in a commercial motor vehicle. <span class=\"tag\">[<a href=\"#HO-021\">HO-021<\/a>, <a href=\"#HO-022\">HO-022<\/a>]<\/span><\/p>\r\n<p class=\"callout\">Most people killed in head on crashes were buckled in. 316 of the 554 people killed were wearing a shoulder and lap belt. Where restraint use was recorded, 30.8% of those killed were unrestrained. Statewide, TxDOT reports that 45.94% of people killed in vehicles in 2025, where restraint use applied and was known, were not restrained. <span class=\"tag\">[<a href=\"#HO-023\">HO-023<\/a>, <a href=\"#HO-024\">HO-024<\/a>]<\/span><\/p>\r\n<figure class=\"hb-fig\">\r\n<figcaption>Texas Head On Crashes by Severity, 2025<\/figcaption>\r\n<table class=\"hb-table\" role=\"table\"><caption class=\"yc-sr\">Bar chart of Texas head on crashes by injury severity, 2025<\/caption>\r\n<thead class=\"yc-sr\" role=\"rowgroup\"><tr role=\"row\"><th scope=\"col\" role=\"columnheader\">Crash severity<\/th> <th scope=\"col\" role=\"columnheader\">Head on crashes<\/th><\/tr><\/thead>\r\n<tbody role=\"rowgroup\">\r\n<tr role=\"row\" class=\"hb-gold\"><th scope=\"row\" role=\"rowheader\">K, fatal<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:10.8%\"><\/span><\/span> <span class=\"hb-num\">432<\/span><\/td><\/tr>\r\n<tr role=\"row\" class=\"hb-gold\"><th scope=\"row\" role=\"rowheader\">A, suspected serious injury<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:17.3%\"><\/span><\/span> <span class=\"hb-num\">690<\/span><\/td><\/tr>\r\n<tr role=\"row\"><th scope=\"row\" role=\"rowheader\">B, suspected minor injury<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:38.8%\"><\/span><\/span> <span class=\"hb-num\">1,548<\/span><\/td><\/tr>\r\n<tr role=\"row\"><th scope=\"row\" role=\"rowheader\">C, possible injury<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:27.1%\"><\/span><\/span> <span class=\"hb-num\">1,081<\/span><\/td><\/tr>\r\n<tr role=\"row\"><th scope=\"row\" role=\"rowheader\">O, no apparent injury<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:100.0%\"><\/span><\/span> <span class=\"hb-num\">3,992<\/span><\/td><\/tr>\r\n<\/tbody><\/table>\r\n<div class=\"hb-note\">KABCO severity reflects the investigating officer&#39;s coding. Another 40 head on crashes had unknown severity. <span class=\"tag\">[<a href=\"#HO-025\">HO-025<\/a>]<\/span><\/div><\/figure>\r\n            <p>Head on crashes accounted for 6.3% of all fatal or serious injury crashes in Texas in 2025, from 1.4% of crashes. <span class=\"tag\">[<a href=\"#HO-026\">HO-026<\/a>]<\/span><\/p>\r\n<p class=\"note\">Crash severity is a crash level code assigned by the investigating officer, based on the most severe injury observed. It does not capture injuries reported, treated, or diagnosed after the crash. TxDOT&#39;s Crash Facts figures for 2019 through 2024 are the versions TxDOT restated on April 9, 2025; the 2025 figure reflects reports processed through April 7, 2026.<\/p>\r\n\r\n          <\/section>\r\n          <section id=\"where\" aria-labelledby=\"where-title\">\r\n            <h2 id=\"where-title\">Fatal Head On Crashes Concentrate on <span class=\"accent\">Rural, Higher Speed Roads<\/span><\/h2>\r\n            <p>More than half of Texas head on crashes happened outside the state&#39;s cities. In 2025, 53.0% of Texas head on crashes occurred in rural areas, which TxDOT defines as places outside cities of 5,000 or more people. Only 27.4% of all reportable crashes did. In 2025, rural areas accounted for 73.4% of fatal head on crashes in Texas. <span class=\"tag\">[<a href=\"#HO-002\">HO-002<\/a>, <a href=\"#HO-027\">HO-027<\/a>]<\/span><\/p>\r\n            <p>A rural head on crash was about 2.4 times as likely to be fatal as an urban one: 7.7% compared with 3.1%. <span class=\"tag\">[<a href=\"#HO-028\">HO-028<\/a>]<\/span><\/p>\r\n<p class=\"callout\">335 of the 432 fatal head on crashes in 2025, or 77.5%, happened on a US highway, a state highway, or a Farm to Market road. Those roads carried 39.4% of head on crashes. City streets carried 37.3% of head on crashes but only 10.0% of the fatal ones. That imbalance does not establish that road design alone caused the crashes. It does show where the fatal burden was concentrated in the CRIS data. <span class=\"tag\">[<a href=\"#HO-003\">HO-003<\/a>, <a href=\"#HO-029\">HO-029<\/a>]<\/span><\/p>\r\n<figure class=\"hb-fig\">\r\n<figcaption>Fatal Head On Crashes by Road Class, 2025<\/figcaption>\r\n<table class=\"hb-table\" role=\"table\"><caption class=\"yc-sr\">Bar chart of fatal head on crashes in Texas by road class, 2025<\/caption>\r\n<thead class=\"yc-sr\" role=\"rowgroup\"><tr role=\"row\"><th scope=\"col\" role=\"columnheader\">Road class<\/th> <th scope=\"col\" role=\"columnheader\">Fatal head on crashes<\/th><\/tr><\/thead>\r\n<tbody role=\"rowgroup\">\r\n<tr role=\"row\" class=\"hb-gold\"><th scope=\"row\" role=\"rowheader\">US and state highways<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:100.0%\"><\/span><\/span> <span class=\"hb-num\">217<\/span><\/td><\/tr>\r\n<tr role=\"row\" class=\"hb-gold\"><th scope=\"row\" role=\"rowheader\">Farm to Market roads<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:54.4%\"><\/span><\/span> <span class=\"hb-num\">118<\/span><\/td><\/tr>\r\n<tr role=\"row\"><th scope=\"row\" role=\"rowheader\">Interstates<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:12.4%\"><\/span><\/span> <span class=\"hb-num\">27<\/span><\/td><\/tr>\r\n<tr role=\"row\"><th scope=\"row\" role=\"rowheader\">City streets<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:19.8%\"><\/span><\/span> <span class=\"hb-num\">43<\/span><\/td><\/tr>\r\n<tr role=\"row\"><th scope=\"row\" role=\"rowheader\">County roads<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:9.7%\"><\/span><\/span> <span class=\"hb-num\">21<\/span><\/td><\/tr>\r\n<tr role=\"row\"><th scope=\"row\" role=\"rowheader\">Tollways<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:2.8%\"><\/span><\/span> <span class=\"hb-num\">6<\/span><\/td><\/tr>\r\n<\/tbody><\/table>\r\n<div class=\"hb-note\">CRIS Road Class field. Gold bars mark US and state highways and Farm to Market roads. <span class=\"tag\">[<a href=\"#HO-003\">HO-003<\/a>]<\/span><\/div><\/figure>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-4\"><table class=\"dtable w620\">\r\n              <caption id=\"tbl-4\">Head On Crashes by Road Class, 2025<\/caption>\r\n              <thead><tr><th scope=\"col\">Road Class<\/th> <th scope=\"col\">Head On<\/th> <th scope=\"col\">Share<\/th> <th scope=\"col\">Fatal<\/th> <th scope=\"col\">Fatal Rate<\/th> <th scope=\"col\">Share of All Crashes<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">US and state highways<\/th> <td>1,762<\/td> <td>22.6%<\/td> <td class=\"g\">217<\/td> <td>12.3%<\/td> <td>24.3%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Farm to Market roads<\/th> <td>1,305<\/td> <td>16.8%<\/td> <td class=\"g\">118<\/td> <td>9.0%<\/td> <td>9.1%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Interstates<\/th> <td>281<\/td> <td>3.6%<\/td> <td class=\"g\">27<\/td> <td>9.6%<\/td> <td>18.5%<\/td><\/tr>\r\n                <tr><th scope=\"row\">City streets<\/th> <td>2,905<\/td> <td>37.3%<\/td> <td class=\"g\">43<\/td> <td>1.5%<\/td> <td>38.9%<\/td><\/tr>\r\n                <tr><th scope=\"row\">County roads<\/th> <td>1,487<\/td> <td>19.1%<\/td> <td class=\"g\">21<\/td> <td>1.4%<\/td> <td>7.4%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Tollways<\/th> <td>37<\/td> <td>0.5%<\/td> <td class=\"g\">6<\/td> <td>16.2%<\/td> <td>1.7%<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n            <p>County roads carried 19.1% of head on crashes, compared with 7.4% of all reportable crashes. Their head on fatal rate, 1.4%, was lower than on US and state highways, Farm to Market roads, and interstates, but the 2025 records still include 21 fatal head on crashes on county roads. <span class=\"tag\">[<a href=\"#HO-030\">HO-030<\/a>]<\/span><\/p>\r\n            <p>The fatal rate climbed with the posted speed limit. Head on crashes on roads posted at 55 mph or higher accounted for about one third of head on crashes, 34.2%, but more than four out of five fatal head on crashes, 80.6%. Posted speed is not the speed a driver was traveling or the legal cause of a crash; it is a roadway context measure in the CRIS record. <span class=\"tag\">[<a href=\"#HO-004\">HO-004<\/a>]<\/span><\/p>\r\n<figure class=\"hb-fig\">\r\n<figcaption>Fatal Rate of Head On Crashes by Posted Speed Limit, 2025<\/figcaption>\r\n<table class=\"hb-table\" role=\"table\"><caption class=\"yc-sr\">Bar chart of the fatal rate of Texas head on crashes by posted speed limit, 2025<\/caption>\r\n<thead class=\"yc-sr\" role=\"rowgroup\"><tr role=\"row\"><th scope=\"col\" role=\"columnheader\">Posted speed limit<\/th> <th scope=\"col\" role=\"columnheader\">Fatal rate<\/th><\/tr><\/thead>\r\n<tbody role=\"rowgroup\">\r\n<tr role=\"row\"><th scope=\"row\" role=\"rowheader\">30 mph<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:4.6%\"><\/span><\/span> <span class=\"hb-num\">0.8%<\/span><\/td><\/tr>\r\n<tr role=\"row\"><th scope=\"row\" role=\"rowheader\">35 mph<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:9.5%\"><\/span><\/span> <span class=\"hb-num\">1.7%<\/span><\/td><\/tr>\r\n<tr role=\"row\"><th scope=\"row\" role=\"rowheader\">40 mph<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:7.6%\"><\/span><\/span> <span class=\"hb-num\">1.3%<\/span><\/td><\/tr>\r\n<tr role=\"row\"><th scope=\"row\" role=\"rowheader\">45 mph<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:15.6%\"><\/span><\/span> <span class=\"hb-num\">2.7%<\/span><\/td><\/tr>\r\n<tr role=\"row\"><th scope=\"row\" role=\"rowheader\">50 mph<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:28.1%\"><\/span><\/span> <span class=\"hb-num\">4.9%<\/span><\/td><\/tr>\r\n<tr role=\"row\" class=\"hb-gold\"><th scope=\"row\" role=\"rowheader\">55 mph<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:49.2%\"><\/span><\/span> <span class=\"hb-num\">8.7%<\/span><\/td><\/tr>\r\n<tr role=\"row\" class=\"hb-gold\"><th scope=\"row\" role=\"rowheader\">60 mph<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:68.9%\"><\/span><\/span> <span class=\"hb-num\">12.1%<\/span><\/td><\/tr>\r\n<tr role=\"row\" class=\"hb-gold\"><th scope=\"row\" role=\"rowheader\">65 mph<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:99.8%\"><\/span><\/span> <span class=\"hb-num\">17.5%<\/span><\/td><\/tr>\r\n<tr role=\"row\" class=\"hb-gold\"><th scope=\"row\" role=\"rowheader\">70 mph<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:100.0%\"><\/span><\/span> <span class=\"hb-num\">17.6%<\/span><\/td><\/tr>\r\n<tr role=\"row\" class=\"hb-gold\"><th scope=\"row\" role=\"rowheader\">75 mph<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:86.4%\"><\/span><\/span> <span class=\"hb-num\">15.2%<\/span><\/td><\/tr>\r\n<\/tbody><\/table>\r\n<div class=\"hb-note\">Share of head on crashes at each posted limit that were fatal. Posted limits are as recorded on the crash report, not vehicle speeds. <span class=\"tag\">[<a href=\"#HO-031\">HO-031<\/a>]<\/span><\/div><\/figure>\r\n            <p>The state highway system shows the same split between frequency and severity. 47.4% of head on crashes occurred on roadways coded in CRIS as part of the state highway system (On System Flag = Yes), fewer than the 58.1% of all crashes. Yet those crashes accounted for 86.3% of fatal head on crashes. <span class=\"tag\">[<a href=\"#HO-032\">HO-032<\/a>]<\/span><\/p>\r\n            <p>Commercial motor vehicles were involved in 11.2% of head on crashes, compared with 7.1% of all reportable Texas crashes, and in 19.2% of fatal head on crashes. That difference shows commercial vehicle involvement was more common in the head on crash records than in crashes overall; it does not identify which driver caused any individual crash. Nearly all fatal head on crashes, 94.4%, happened away from an intersection. <span class=\"tag\">[<a href=\"#HO-033\">HO-033<\/a>, <a href=\"#HO-034\">HO-034<\/a>]<\/span><\/p>\r\n            <p>The rural concentration is not new. In every year from 2019 through 2025, rural areas accounted for between 48% and 53% of head on crashes and between 71% and 78% of fatal head on crashes. <span class=\"tag\">[<a href=\"#HO-035\">HO-035<\/a>]<\/span><\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-5\"><table class=\"dtable w520\">\r\n              <caption id=\"tbl-5\">Rural Share of Texas Head On Crashes by Year<\/caption>\r\n              <thead><tr><th scope=\"col\">Year<\/th> <th scope=\"col\">Head On<\/th> <th scope=\"col\">Rural Share<\/th> <th scope=\"col\">Fatal<\/th> <th scope=\"col\">Rural Share of Fatal<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">2019<\/th> <td>7,715<\/td> <td>49.4%<\/td> <td>460<\/td> <td class=\"g\">75.0%<\/td><\/tr>\r\n                <tr><th scope=\"row\">2020<\/th> <td>6,989<\/td> <td>47.9%<\/td> <td>408<\/td> <td class=\"g\">70.8%<\/td><\/tr>\r\n                <tr><th scope=\"row\">2021<\/th> <td>8,323<\/td> <td>48.3%<\/td> <td>458<\/td> <td class=\"g\">72.1%<\/td><\/tr>\r\n                <tr><th scope=\"row\">2022<\/th> <td>8,052<\/td> <td>48.1%<\/td> <td>467<\/td> <td class=\"g\">71.1%<\/td><\/tr>\r\n                <tr><th scope=\"row\">2023<\/th> <td>8,120<\/td> <td>51.5%<\/td> <td>479<\/td> <td class=\"g\">77.7%<\/td><\/tr>\r\n                <tr><th scope=\"row\">2024<\/th> <td>8,141<\/td> <td>52.7%<\/td> <td>456<\/td> <td class=\"g\">76.8%<\/td><\/tr>\r\n                <tr><th scope=\"row\">2025<\/th> <td>7,783<\/td> <td>53.0%<\/td> <td>432<\/td> <td class=\"g\">73.4%<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n<p class=\"note\">Rural status comes from the CRIS Rural Flag, which follows TxDOT&#39;s <a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/annual-motor-vehicle-crash-data-report-definitions.pdf\" target=\"_blank\" rel=\"noopener\">published definition<\/a>: urban means within a city or town of 5,000 or more people, and everything else is rural. CRIS counted 147,652 rural reportable crashes in 2025; TxDOT&#39;s <a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/2025\/2025-rural-urban-crashes-injuries-severity.pdf\" target=\"_blank\" rel=\"noopener\">Crash Facts rural table<\/a> lists 147,617.<\/p>\r\n\r\n          <\/section>\r\n          <section id=\"when\" aria-labelledby=\"when-title\">\r\n            <h2 id=\"when-title\">Fatal Rates Peaked <span class=\"accent\">on Unlit Roads and Late at Night<\/span><\/h2>\r\n            <p>Most head on crashes happened in daylight, but darkness was overrepresented among the fatal ones. In 2025, 36.4% of Texas head on crashes occurred in dark conditions, yet those crashes accounted for 49.5% of fatal head on crashes, nearly half: 214 of 432. <span class=\"tag\">[<a href=\"#HO-036\">HO-036<\/a>]<\/span><\/p>\r\n<p class=\"callout\">Roads with no lighting stood out. Head on crashes on dark, unlit roads made up 19.5% of head on crashes and 38.9% of fatal head on crashes. About 11% of those crashes were fatal, compared with 4.3% in daylight. <span class=\"tag\">[<a href=\"#HO-037\">HO-037<\/a>, <a href=\"#HO-038\">HO-038<\/a>]<\/span><\/p>\r\n<figure class=\"hb-fig\">\r\n<figcaption>Fatal Head On Crashes by Light Condition, 2025<\/figcaption>\r\n<table class=\"hb-table\" role=\"table\"><caption class=\"yc-sr\">Bar chart of fatal head on crashes by light condition in Texas, 2025<\/caption>\r\n<thead class=\"yc-sr\" role=\"rowgroup\"><tr role=\"row\"><th scope=\"col\" role=\"columnheader\">Light condition<\/th> <th scope=\"col\" role=\"columnheader\">Fatal head on crashes<\/th><\/tr><\/thead>\r\n<tbody role=\"rowgroup\">\r\n<tr role=\"row\"><th scope=\"row\" role=\"rowheader\">Daylight<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:100.0%\"><\/span><\/span> <span class=\"hb-num\">203<\/span><\/td><\/tr>\r\n<tr role=\"row\" class=\"hb-gold\"><th scope=\"row\" role=\"rowheader\">Dark, not lighted<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:82.8%\"><\/span><\/span> <span class=\"hb-num\">168<\/span><\/td><\/tr>\r\n<tr role=\"row\" class=\"hb-gold\"><th scope=\"row\" role=\"rowheader\">Dark, lighted<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:21.2%\"><\/span><\/span> <span class=\"hb-num\">43<\/span><\/td><\/tr>\r\n<tr role=\"row\" class=\"hb-gold\"><th scope=\"row\" role=\"rowheader\">Dark, unknown lighting<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:1.5%\"><\/span><\/span> <span class=\"hb-num\">3<\/span><\/td><\/tr>\r\n<tr role=\"row\"><th scope=\"row\" role=\"rowheader\">Dawn or dusk<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:7.4%\"><\/span><\/span> <span class=\"hb-num\">15<\/span><\/td><\/tr>\r\n<\/tbody><\/table>\r\n<div class=\"hb-note\">CRIS Light Condition as recorded by the investigating officer. <span class=\"tag\">[<a href=\"#HO-037\">HO-037<\/a>]<\/span><\/div><\/figure>\r\n            <p>Head on crashes peaked in the 5 p.m. hour, with 582 crashes. The overnight hours carried the most risk per crash. From midnight to 5:59 a.m., Texas recorded 11.3% of head on crashes but 22.5% of fatal head on crashes. <span class=\"tag\">[<a href=\"#HO-039\">HO-039<\/a>, <a href=\"#HO-040\">HO-040<\/a>]<\/span><\/p>\r\n            <p>The three hour window with the most fatal head on crashes was 3 p.m. to 5:59 p.m., with 65, the same window that had the most head on crashes overall. <span class=\"tag\">[<a href=\"#HO-041\">HO-041<\/a>]<\/span><\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-2\"><table class=\"dtable w560\">\r\n              <caption id=\"tbl-2\">Head On Crashes by Time of Day, 2025<\/caption>\r\n              <thead><tr><th scope=\"col\">Time<\/th> <th scope=\"col\">Head On<\/th> <th scope=\"col\">Fatal<\/th> <th scope=\"col\">Fatal Rate<\/th> <th scope=\"col\">Share of All Crashes<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">12 a.m. to 2:59 a.m.<\/th> <td>458<\/td> <td>47<\/td> <td class=\"g\">10.3%<\/td> <td>5.3%<\/td><\/tr>\r\n                <tr><th scope=\"row\">3 a.m. to 5:59 a.m.<\/th> <td>424<\/td> <td>50<\/td> <td class=\"g\">11.8%<\/td> <td>4.4%<\/td><\/tr>\r\n                <tr><th scope=\"row\">6 a.m. to 8:59 a.m.<\/th> <td>1,063<\/td> <td>56<\/td> <td class=\"g\">5.3%<\/td> <td>13.6%<\/td><\/tr>\r\n                <tr><th scope=\"row\">9 a.m. to 11:59 a.m.<\/th> <td>883<\/td> <td>42<\/td> <td class=\"g\">4.8%<\/td> <td>12.6%<\/td><\/tr>\r\n                <tr><th scope=\"row\">12 p.m. to 2:59 p.m.<\/th> <td>1,179<\/td> <td>53<\/td> <td class=\"g\">4.5%<\/td> <td>17.2%<\/td><\/tr>\r\n                <tr><th scope=\"row\">3 p.m. to 5:59 p.m.<\/th> <td>1,602<\/td> <td>65<\/td> <td class=\"g\">4.1%<\/td> <td>23.3%<\/td><\/tr>\r\n                <tr><th scope=\"row\">6 p.m. to 8:59 p.m.<\/th> <td>1,285<\/td> <td>60<\/td> <td class=\"g\">4.7%<\/td> <td>15.1%<\/td><\/tr>\r\n                <tr><th scope=\"row\">9 p.m. to 11:59 p.m.<\/th> <td>889<\/td> <td>59<\/td> <td class=\"g\">6.6%<\/td> <td>8.5%<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n<p class=\"note\">Crash time is the local time recorded on the crash report. It is not a measure of traffic exposure: a higher overnight fatal rate may reflect several factors, including lighting, speed, traffic volume, road type, and the distance to emergency care.<\/p>\r\n            <p>Weekends showed a smaller version of the same pattern. Saturday and Sunday accounted for 27.8% of head on crashes and 32.6% of fatal head on crashes. Sunday had the most fatal head on crashes of any day, 73, and the highest fatal rate, 7.2%. <span class=\"tag\">[<a href=\"#HO-042\">HO-042<\/a>, <a href=\"#HO-043\">HO-043<\/a>]<\/span><\/p>\r\n<h3 class=\"sub\">Light, Weather, and Road Surface Conditions<\/h3>\r\n            <p>Conditions recorded on crash reports describe the setting of a collision; they do not identify the legal cause of an individual crash. The table compares each condition&#39;s share of head on crashes with its share of all reportable crashes and of fatal head on crashes.<\/p>\r\n            <p>A condition is overrepresented among fatal crashes when its share of fatal head on crashes is larger than its share of all head on crashes. Dark, unlit roads are the clearest case: 38.9% of fatal head on crashes against 19.5% of all head on crashes. That pattern can reflect several factors at once, including traffic volume, time of day, road design, driver behavior, and the distance to emergency care, not the condition alone. <span class=\"tag\">[<a href=\"#HO-037\">HO-037<\/a>]<\/span><\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-3\"><table class=\"dtable w720\">\r\n              <caption id=\"tbl-3\">Head On Crashes by Light, Weather, and Road Surface Condition, Texas, 2025<\/caption>\r\n              <thead><tr><th scope=\"col\">Condition<\/th> <th scope=\"col\">Head On<\/th> <th scope=\"col\">Share of Head On<\/th> <th scope=\"col\">Share of All Crashes<\/th> <th scope=\"col\">Fatal<\/th> <th scope=\"col\">Fatal Rate<\/th> <th scope=\"col\">Share of Fatal Head On<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr class=\"grp\"><th scope=\"rowgroup\" colspan=\"7\">Light condition<\/th><\/tr>\r\n                <tr><th scope=\"row\">Daylight<\/th> <td>4,713<\/td> <td>60.6%<\/td> <td>68.5%<\/td> <td>203<\/td> <td class=\"g\">4.3%<\/td> <td>47.0%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Dark, not lighted<\/th> <td>1,520<\/td> <td>19.5%<\/td> <td>9.2%<\/td> <td>168<\/td> <td class=\"g\">11.1%<\/td> <td>38.9%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Dark, lighted<\/th> <td>1,245<\/td> <td>16.0%<\/td> <td>18.7%<\/td> <td>43<\/td> <td class=\"g\">3.5%<\/td> <td>10.0%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Dark, unknown lighting<\/th> <td>68<\/td> <td>0.9%<\/td> <td>0.9%<\/td> <td>3<\/td> <td class=\"g\">4.4%<\/td> <td>0.7%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Dawn or dusk<\/th> <td>223<\/td> <td>2.9%<\/td> <td>2.3%<\/td> <td>15<\/td> <td class=\"g\">6.7%<\/td> <td>3.5%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Other or unknown<\/th> <td>14<\/td> <td>0.2%<\/td> <td>0.3%<\/td> <td>0<\/td> <td class=\"g\">Too few to rate<\/td> <td>0.0%<\/td><\/tr>\r\n              <\/tbody>\r\n              <tbody>\r\n                <tr class=\"grp\"><th scope=\"rowgroup\" colspan=\"7\">Weather<\/th><\/tr>\r\n                <tr><th scope=\"row\">Clear<\/th> <td>6,017<\/td> <td>77.3%<\/td> <td>81.4%<\/td> <td>325<\/td> <td class=\"g\">5.4%<\/td> <td>75.2%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Cloudy<\/th> <td>835<\/td> <td>10.7%<\/td> <td>10.6%<\/td> <td>55<\/td> <td class=\"g\">6.6%<\/td> <td>12.7%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Rain<\/th> <td>824<\/td> <td>10.6%<\/td> <td>6.7%<\/td> <td>45<\/td> <td class=\"g\">5.5%<\/td> <td>10.4%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Fog<\/th> <td>51<\/td> <td>0.7%<\/td> <td>0.5%<\/td> <td>4<\/td> <td class=\"g\">7.8%<\/td> <td>0.9%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Snow, sleet, or hail<\/th> <td>29<\/td> <td>0.4%<\/td> <td>0.4%<\/td> <td>1<\/td> <td class=\"g\">Too few to rate<\/td> <td>0.2%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Crosswinds, blowing sand, other, or unknown<\/th> <td>27<\/td> <td>0.3%<\/td> <td>0.5%<\/td> <td>2<\/td> <td class=\"g\">Too few to rate<\/td> <td>0.5%<\/td><\/tr>\r\n              <\/tbody>\r\n              <tbody>\r\n                <tr class=\"grp\"><th scope=\"rowgroup\" colspan=\"7\">Road surface<\/th><\/tr>\r\n                <tr><th scope=\"row\">Dry<\/th> <td>6,488<\/td> <td>83.4%<\/td> <td>89.0%<\/td> <td>370<\/td> <td class=\"g\">5.7%<\/td> <td>85.6%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Wet<\/th> <td>1,137<\/td> <td>14.6%<\/td> <td>9.5%<\/td> <td>53<\/td> <td class=\"g\">4.7%<\/td> <td>12.3%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Standing water<\/th> <td>42<\/td> <td>0.5%<\/td> <td>0.4%<\/td> <td>5<\/td> <td class=\"g\">11.9%<\/td> <td>1.2%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Ice, snow, or slush<\/th> <td>47<\/td> <td>0.6%<\/td> <td>0.5%<\/td> <td>2<\/td> <td class=\"g\">4.3%<\/td> <td>0.5%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Sand, mud, or dirt<\/th> <td>54<\/td> <td>0.7%<\/td> <td>0.2%<\/td> <td>0<\/td> <td class=\"g\">0.0%<\/td> <td>0.0%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Other or unknown<\/th> <td>15<\/td> <td>0.2%<\/td> <td>0.4%<\/td> <td>2<\/td> <td class=\"g\">Too few to rate<\/td> <td>0.5%<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n            <p>Rain and wet pavement were more common in head on crashes than in crashes overall. Rain was recorded in 10.6% of head on crashes and 6.7% of all reportable crashes; wet pavement in 14.6% and 9.5%. Head on crashes on wet pavement were fatal less often than those on dry pavement, 4.7% compared with 5.7%. <span class=\"tag\">[<a href=\"#HO-044\">HO-044<\/a>, <a href=\"#HO-045\">HO-045<\/a>]<\/span><\/p>\r\n<p class=\"note\">Light, weather, and surface conditions are the officer&#39;s description of the scene, not measurements. Fatal rates are not shown for conditions with fewer than 30 head on crashes.<\/p>\r\n\r\n          <\/section>\r\n          <section id=\"factors\" aria-labelledby=\"factors-title\">\r\n            <h2 id=\"factors-title\">Leaving the Lane Was <span class=\"accent\">the Most Frequently Cited Factor<\/span><\/h2>\r\n            <p>&quot;Failed to drive in single lane&quot; was the factor officers cited most often in Texas head on crashes. It appeared in 2,312 of the 7,783 head on crashes recorded in 2025, or 29.7%. Counting the four lane keeping factors together (failed to drive in single lane, wrong side not passing, wrong side at an approach or intersection, and failed to give half of the roadway), 51.0% of head on crashes cited at least one. A passing maneuver, such as passing in a no passing zone, was cited in 3.2%. <span class=\"tag\">[<a href=\"#HO-046\">HO-046<\/a>, <a href=\"#HO-047\">HO-047<\/a>, <a href=\"#HO-048\">HO-048<\/a>]<\/span><\/p>\r\n<p class=\"callout\">Fatal crashes looked different. &quot;Wrong side, not passing&quot; was cited in 138 of the 432 fatal head on crashes, or 31.9%. Alcohol or drugs appeared in 155 fatal head on crashes, 35.9%, compared with 12.4% of all head on crashes. <span class=\"tag\">[<a href=\"#HO-049\">HO-049<\/a>, <a href=\"#HO-050\">HO-050<\/a>]<\/span><\/p>\r\n<figure class=\"hb-fig\">\r\n<figcaption>Factors Cited in Fatal Texas Head On Crashes, 2025<\/figcaption>\r\n<table class=\"hb-table\" role=\"table\"><caption class=\"yc-sr\">Bar chart of contributing factors cited in fatal Texas head on crashes, 2025<\/caption>\r\n<thead class=\"yc-sr\" role=\"rowgroup\"><tr role=\"row\"><th scope=\"col\" role=\"columnheader\">Contributing factor<\/th> <th scope=\"col\" role=\"columnheader\">Share of fatal head on crashes<\/th><\/tr><\/thead>\r\n<tbody role=\"rowgroup\">\r\n<tr role=\"row\" class=\"hb-gold\"><th scope=\"row\" role=\"rowheader\">Wrong side, not passing<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:100.0%\"><\/span><\/span> <span class=\"hb-num\">31.9%<\/span><\/td><\/tr>\r\n<tr role=\"row\" class=\"hb-gold\"><th scope=\"row\" role=\"rowheader\">Failed to drive in single lane<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:99.3%\"><\/span><\/span> <span class=\"hb-num\">31.7%<\/span><\/td><\/tr>\r\n<tr role=\"row\" class=\"hb-gold\"><th scope=\"row\" role=\"rowheader\">Under influence, alcohol<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:72.5%\"><\/span><\/span> <span class=\"hb-num\">23.1%<\/span><\/td><\/tr>\r\n<tr role=\"row\" class=\"hb-gold\"><th scope=\"row\" role=\"rowheader\">Wrong way, one way road<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:49.3%\"><\/span><\/span> <span class=\"hb-num\">15.7%<\/span><\/td><\/tr>\r\n<tr role=\"row\"><th scope=\"row\" role=\"rowheader\">Under influence, drug<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:36.2%\"><\/span><\/span> <span class=\"hb-num\">11.6%<\/span><\/td><\/tr>\r\n<tr role=\"row\"><th scope=\"row\" role=\"rowheader\">Unsafe speed<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:32.6%\"><\/span><\/span> <span class=\"hb-num\">10.4%<\/span><\/td><\/tr>\r\n<tr role=\"row\"><th scope=\"row\" role=\"rowheader\">Fatigued or asleep<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:18.8%\"><\/span><\/span> <span class=\"hb-num\">6.0%<\/span><\/td><\/tr>\r\n<tr role=\"row\"><th scope=\"row\" role=\"rowheader\">Passed in no passing lane<\/th> <td role=\"cell\"><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:18.8%\"><\/span><\/span> <span class=\"hb-num\">6.0%<\/span><\/td><\/tr>\r\n<\/tbody><\/table>\r\n<div class=\"hb-note\">Share of the 432 fatal head on crashes citing each factor. A crash can list more than one factor, and these figures include factors marked as possibly contributing.<\/div><\/figure>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-6\"><table class=\"dtable w560\">\r\n              <caption id=\"tbl-6\">Contributing Factors in Texas Head On Crashes, 2025<\/caption>\r\n              <thead><tr><th scope=\"col\">Factor<\/th> <th scope=\"col\">Head On Crashes<\/th> <th scope=\"col\">Share<\/th> <th scope=\"col\">Fatal<\/th> <th scope=\"col\">Share of Fatal<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">Wrong side, not passing<\/th> <td>866<\/td> <td>11.1%<\/td> <td>138<\/td> <td class=\"g\">31.9%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Failed to drive in single lane<\/th> <td>2,312<\/td> <td>29.7%<\/td> <td>137<\/td> <td class=\"g\">31.7%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Under influence, alcohol<\/th> <td>698<\/td> <td>9.0%<\/td> <td>100<\/td> <td class=\"g\">23.1%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Wrong way, one way road<\/th> <td>409<\/td> <td>5.3%<\/td> <td>68<\/td> <td class=\"g\">15.7%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Under influence, drug<\/th> <td>111<\/td> <td>1.4%<\/td> <td>50<\/td> <td class=\"g\">11.6%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Unsafe speed<\/th> <td>471<\/td> <td>6.1%<\/td> <td>45<\/td> <td class=\"g\">10.4%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Fatigued or asleep<\/th> <td>321<\/td> <td>4.1%<\/td> <td>26<\/td> <td class=\"g\">6.0%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Passed in no passing lane<\/th> <td>107<\/td> <td>1.4%<\/td> <td>26<\/td> <td class=\"g\">6.0%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Failed to control speed<\/th> <td>682<\/td> <td>8.8%<\/td> <td>18<\/td> <td class=\"g\">4.2%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Driver inattention<\/th> <td>960<\/td> <td>12.3%<\/td> <td>16<\/td> <td class=\"g\">3.7%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Failed to give half of roadway<\/th> <td>768<\/td> <td>9.9%<\/td> <td>4<\/td> <td class=\"g\">0.9%<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n<h3 class=\"sub\">Head On Is Not the Same as Wrong Way<\/h3>\r\n            <p>Wrong way crashes and head on crashes overlap, but they are not the same thing. The <a class=\"lnk\" href=\"https:\/\/static.tti.tamu.edu\/tti.tamu.edu\/documents\/0-7119-R1.pdf\" target=\"_blank\" rel=\"noopener\">Texas A&amp;M Transportation Institute<\/a> defines wrong way driving as traveling against the direction of traffic on a divided roadway, such as a freeway, and counted about 1,700 wrong way crashes on Texas controlled access highways from 2010 through 2019, about 170 a year, with 10% resulting in a fatality. <span class=\"tag\">[<a href=\"#HO-051\">HO-051<\/a>]<\/span><\/p>\r\n            <p>In 2025, officers cited &quot;wrong way, one way road&quot; in 409 head on crashes, 68 of them fatal: 5.3% of all head on crashes. Far more often, officers cited a vehicle leaving its own lane. <span class=\"tag\">[<a href=\"#HO-052\">HO-052<\/a>]<\/span><\/p>\r\n<p class=\"note\">Contributing factors are coded by the investigating officer. A crash can list several, and they are not determinations of legal liability or of a single cause.<\/p>\r\n\r\n          <\/section>\r\n          <section id=\"design\" aria-labelledby=\"design-title\">\r\n            <h2 id=\"design-title\">Undivided Two Lane Roads <span class=\"accent\">and the Center Line<\/span><\/h2>\r\n            <p>CRIS attaches TxDOT&#39;s roadway inventory to crashes on the roads TxDOT maintains. That inventory covered 3,626 of the 2025 head on crashes, including 373 fatal ones. Everywhere else, the road type and median fields are blank, so the first two figures below describe inventoried roads, which closely track the state highway system (3,691 head on crashes carried the On System Flag). <span class=\"tag\">[<a href=\"#HO-053\">HO-053<\/a>, <a href=\"#HO-032\">HO-032<\/a>]<\/span><\/p>\r\n<ul class=\"bars\" role=\"list\">\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>Two lane, two way roads: 61.0% of inventoried head on crashes and 67.0% of their fatal crashes, compared with 17.3% of all inventoried crashes. The 250 fatal crashes on these roads were 57.9% of every fatal head on crash in Texas. In rural areas alone, two lane, two way roads carried 227 fatal head on crashes, 52.5% of the statewide total. <span class=\"tag\">[<a href=\"#HO-054\">HO-054<\/a>, <a href=\"#HO-055\">HO-055<\/a>, <a href=\"#HO-056\">HO-056<\/a>]<\/span><\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>No median: 79.9% of inventoried head on crashes and 81.8% of their fatal crashes happened where no median separated the two directions, compared with 37.9% of all inventoried crashes. <span class=\"tag\">[<a href=\"#HO-057\">HO-057<\/a>]<\/span><\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>Curves: 24.9% of all head on crashes and 30.8% of fatal head on crashes happened on a curve, compared with 7.4% of all crashes. The officer records alignment for every crash, on any road. <span class=\"tag\">[<a href=\"#HO-058\">HO-058<\/a>]<\/span><\/span><\/li>\r\n<\/ul>\r\n            <p>A median barrier did not rule out a head on crash. In 2025, 354 head on crashes, 36 of them fatal, happened on roads coded with a positive median barrier. CRIS does not record how both vehicles came to be on the same side of the barrier. <span class=\"tag\">[<a href=\"#HO-059\">HO-059<\/a>]<\/span><\/p>\r\n<h3 class=\"sub\">What TxDOT Uses Against Head On Crashes<\/h3>\r\n            <p>TxDOT&#39;s <a class=\"lnk\" href=\"https:\/\/ftp.dot.state.tx.us\/pub\/txdot-info\/library\/pubs\/gov\/shsp.pdf\" target=\"_blank\" rel=\"noopener\">Strategic Highway Safety Plan<\/a> counts head on crashes in which a vehicle was on the wrong side of the road but not passing, together with run off the road crashes, in its roadway and lane departure emphasis area. Its first strategy is to keep vehicles from encroaching on the roadside or the opposite lane, and the plan describes cable barriers as a tool that prevents head on collisions.<\/p>\r\n            <p>In its <a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/highway-safety-engineering\/hsip-guidance-program.pdf\" target=\"_blank\" rel=\"noopener\">2026 Highway Safety Improvement Program guidelines<\/a>, TxDOT scores several projects against CRIS manner of collision code 30, the same definition this study uses. Installing a median barrier carries a 50% reduction factor, adding paved width to narrow two lane roads 30%, installing passing lanes 25%, and milled centerline rumble strips 15%. TxDOT also sets aside 15% of HSIP funds each year for an annual priority. For fiscal years 2026 through 2028, that priority is low cost countermeasures at curves and straightaways aimed at run off the road and head on crashes. <span class=\"tag\">[<a href=\"#HO-060\">HO-060<\/a>, <a href=\"#HO-061\">HO-061<\/a>]<\/span><\/p>\r\n            <p>TxDOT&#39;s <a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/about\/programs\/highway-safety-engineering.html\" target=\"_blank\" rel=\"noopener\">State Systemic Widening program<\/a> widens narrow, high risk state highways and adds centerline and edgeline rumble strips. TxDOT says narrow pavement and limited recovery space increase the likelihood and severity of head on crashes. Its <a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/manuals\/des\/rdw\/chapter-4--basic-design-criteria\/4-10-cross-sectional-elements\/4-10-6-rumble-strips.html\" target=\"_blank\" rel=\"noopener\">Roadway Design Manual<\/a> calls for rumble strips on rural high speed roadways during new construction, reconstruction, and overlay projects.<\/p>\r\n            <p>The most recent Texas evaluation of passing lanes, a 2025 <a class=\"lnk\" href=\"https:\/\/static.tti.tamu.edu\/tti.tamu.edu\/documents\/0-7183-R1.pdf\" target=\"_blank\" rel=\"noopener\">Texas A&amp;M Transportation Institute study of Super 2 highways<\/a>, found that adding periodic passing lanes to rural two lane highways reduced total crashes by 21% and fatal and injury crashes by 16%. The study did not publish a separate estimate for head on crashes. <span class=\"tag\">[<a href=\"#HO-062\">HO-062<\/a>]<\/span><\/p>\r\n<p class=\"note\">TxDOT&#39;s reduction factors are planning assumptions used to score and rank projects. They are not measured results for any particular Texas road, and they apply to the full set of crash types each work code lists.<\/p>\r\n\r\n          <\/section>\r\n          <section id=\"counties\" aria-labelledby=\"counties-title\">\r\n            <h2 id=\"counties-title\">Which Texas Counties Have <span class=\"accent\">the Highest Head On Crash Burden?<\/span><\/h2>\r\n            <p>A county with the most fatal head on crashes is not necessarily the county with the highest rate. This study reports three measures for every county, pooling all seven years from 2019 through 2025 to steady small numbers: <span class=\"tag\">[<a href=\"#HO-063\">HO-063<\/a>]<\/span><\/p>\r\n<ul class=\"bars\" role=\"list\">\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>The fatal head on crash count shows where the largest number of fatal head on crashes occurred.<\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>Rates per 100,000 residents adjust for population.<\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>Fatal head on crashes per 100 million vehicle miles adjust for reported travel on the roads in TxDOT&#39;s county roadway inventory.<\/span><\/li>\r\n<\/ul>\r\n            <p>Each measure answers a different question. A large county may lead in total fatal crashes because it has more people and more driving. A smaller county may have a higher rate because fatal crashes occurred disproportionately relative to its population or its recorded roadway travel. These measures describe reported crash burden, not legal fault, the cause of an individual collision, or the safety of every road in a county. No single measure defines the most dangerous county.<\/p>\r\n<h3 class=\"sub\">What the County Data Shows<\/h3>\r\n<ul class=\"bars\" role=\"list\">\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span><strong>Most fatal head on crashes:<\/strong> Harris County, 161. <span class=\"tag\">[<a href=\"#HO-064\">HO-064<\/a>]<\/span><\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span><strong>Highest fatal rate per resident:<\/strong> Grimes County, 12.5 fatal head on crashes per 100,000 residents a year, compared with 1.4 statewide. <span class=\"tag\">[<a href=\"#HO-065\">HO-065<\/a>]<\/span><\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span><strong>Highest fatal rate per vehicle mile:<\/strong> Fannin County, 0.86 per 100 million vehicle miles, compared with 0.155 statewide. <span class=\"tag\">[<a href=\"#HO-066\">HO-066<\/a>, <a href=\"#HO-067\">HO-067<\/a>]<\/span><\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span><strong>Largest increase in head on crashes, 2019 to 2025:<\/strong> Hidalgo County, from 168 to 239. <span class=\"tag\">[<a href=\"#HO-068\">HO-068<\/a>]<\/span><\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span><strong>Largest decrease in head on crashes, 2019 to 2025:<\/strong> Harris County, from 1,123 to 1,000. <span class=\"tag\">[<a href=\"#HO-068\">HO-068<\/a>]<\/span><\/span><\/li>\r\n<\/ul>\r\n            <p>The rate leaders are drawn from the 41 counties with at least 20 fatal head on crashes. The change measures compare all head on crashes in 2019 and 2025, because fatal counts in a single county are too small to rank year to year changes reliably.<\/p>\r\n<p class=\"callout\">Measured against the miles driven, the highest rates were in smaller counties. All 10 counties in the rate table below have fewer than 125,000 residents, and Fannin, Grimes, and Milam counties had rates more than five times the statewide rate of 0.155 fatal head on crashes per 100 million vehicle miles. <span class=\"tag\">[<a href=\"#HO-066\">HO-066<\/a>, <a href=\"#HO-067\">HO-067<\/a>]<\/span><\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-9\"><table class=\"dtable w760\">\r\n              <caption id=\"tbl-9\">Counties With the Most Fatal Head On Crashes, 2019 to 2025<\/caption>\r\n              <thead><tr><th scope=\"col\">County<\/th> <th scope=\"col\">Head On<\/th> <th scope=\"col\">Fatal<\/th> <th scope=\"col\">Fatal or Serious<\/th> <th scope=\"col\">Deaths<\/th> <th scope=\"col\">Head On per 100,000 Residents a Year<\/th> <th scope=\"col\">Fatal per 100 Million Vehicle Miles, All Inventoried Roads<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">Harris County<\/th> <td>7,753<\/td> <td class=\"g\">161<\/td> <td>603<\/td> <td>198<\/td> <td>22.0<\/td> <td>0.055<\/td><\/tr>\r\n                <tr><th scope=\"row\">Bexar County<\/th> <td>3,448<\/td> <td class=\"g\">107<\/td> <td>336<\/td> <td>126<\/td> <td>22.8<\/td> <td>0.090<\/td><\/tr>\r\n                <tr><th scope=\"row\">Travis County<\/th> <td>2,434<\/td> <td class=\"g\">106<\/td> <td>304<\/td> <td>124<\/td> <td>25.0<\/td> <td>0.138<\/td><\/tr>\r\n                <tr><th scope=\"row\">Tarrant County<\/th> <td>2,601<\/td> <td class=\"g\">92<\/td> <td>302<\/td> <td>111<\/td> <td>16.5<\/td> <td>0.071<\/td><\/tr>\r\n                <tr><th scope=\"row\">Dallas County<\/th> <td>3,165<\/td> <td class=\"g\">87<\/td> <td>323<\/td> <td>120<\/td> <td>17.0<\/td> <td>0.049<\/td><\/tr>\r\n                <tr><th scope=\"row\">Montgomery County<\/th> <td>1,818<\/td> <td class=\"g\">61<\/td> <td>216<\/td> <td>73<\/td> <td>33.2<\/td> <td>0.147<\/td><\/tr>\r\n                <tr><th scope=\"row\">Smith County<\/th> <td>758<\/td> <td class=\"g\">55<\/td> <td>117<\/td> <td>74<\/td> <td>42.9<\/td> <td>0.300<\/td><\/tr>\r\n                <tr><th scope=\"row\">Ector County<\/th> <td>462<\/td> <td class=\"g\">46<\/td> <td>82<\/td> <td>63<\/td> <td>38.0<\/td> <td>0.379<\/td><\/tr>\r\n                <tr><th scope=\"row\">Bastrop County<\/th> <td>402<\/td> <td class=\"g\">46<\/td> <td>87<\/td> <td>65<\/td> <td>48.3<\/td> <td>0.565<\/td><\/tr>\r\n                <tr><th scope=\"row\">Brazoria County<\/th> <td>762<\/td> <td class=\"g\">45<\/td> <td>139<\/td> <td>54<\/td> <td>26.0<\/td> <td>0.213<\/td><\/tr>\r\n                <tr><th scope=\"row\">Williamson County<\/th> <td>750<\/td> <td class=\"g\">45<\/td> <td>118<\/td> <td>54<\/td> <td>14.2<\/td> <td>0.119<\/td><\/tr>\r\n                <tr><th scope=\"row\">Hidalgo County<\/th> <td>1,460<\/td> <td class=\"g\">43<\/td> <td>151<\/td> <td>55<\/td> <td>22.6<\/td> <td>0.097<\/td><\/tr>\r\n                <tr><th scope=\"row\">Bell County<\/th> <td>635<\/td> <td class=\"g\">43<\/td> <td>121<\/td> <td>53<\/td> <td>22.6<\/td> <td>0.162<\/td><\/tr>\r\n                <tr><th scope=\"row\">Liberty County<\/th> <td>529<\/td> <td class=\"g\">42<\/td> <td>93<\/td> <td>59<\/td> <td>62.3<\/td> <td>0.603<\/td><\/tr>\r\n                <tr><th scope=\"row\">Denton County<\/th> <td>821<\/td> <td class=\"g\">39<\/td> <td>108<\/td> <td>46<\/td> <td>11.0<\/td> <td>0.079<\/td><\/tr>\r\n                <tr><th scope=\"row\">Texas, all counties<\/th> <td>55,123<\/td> <td class=\"g\">3,160<\/td> <td>8,107<\/td> <td>4,185<\/td> <td>24.8<\/td> <td>0.155<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-10\"><table class=\"dtable w660\">\r\n              <caption id=\"tbl-10\">Highest Fatal Head On Crash Rates, 2019 to 2025, Counties With 20 or More Fatal Head On Crashes<\/caption>\r\n              <thead><tr><th scope=\"col\">County<\/th> <th scope=\"col\">Fatal<\/th> <th scope=\"col\">Fatal per 100 Million Vehicle Miles, All Inventoried Roads<\/th> <th scope=\"col\">Fatal per 100,000 Residents a Year<\/th> <th scope=\"col\">Head On<\/th> <th scope=\"col\">Deaths<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">Fannin County<\/th> <td>23<\/td> <td class=\"g\">0.857<\/td> <td>8.4<\/td> <td>110<\/td> <td>35<\/td><\/tr>\r\n                <tr><th scope=\"row\">Grimes County<\/th> <td>30<\/td> <td class=\"g\">0.824<\/td> <td>12.5<\/td> <td>196<\/td> <td>41<\/td><\/tr>\r\n                <tr><th scope=\"row\">Milam County<\/th> <td>20<\/td> <td class=\"g\">0.818<\/td> <td>10.9<\/td> <td>143<\/td> <td>27<\/td><\/tr>\r\n                <tr><th scope=\"row\">Liberty County<\/th> <td>42<\/td> <td class=\"g\">0.603<\/td> <td>4.9<\/td> <td>529<\/td> <td>59<\/td><\/tr>\r\n                <tr><th scope=\"row\">Bastrop County<\/th> <td>46<\/td> <td class=\"g\">0.565<\/td> <td>5.5<\/td> <td>402<\/td> <td>65<\/td><\/tr>\r\n                <tr><th scope=\"row\">Rusk County<\/th> <td>21<\/td> <td class=\"g\">0.556<\/td> <td>5.5<\/td> <td>175<\/td> <td>28<\/td><\/tr>\r\n                <tr><th scope=\"row\">Nacogdoches County<\/th> <td>24<\/td> <td class=\"g\">0.487<\/td> <td>5.2<\/td> <td>251<\/td> <td>34<\/td><\/tr>\r\n                <tr><th scope=\"row\">Henderson County<\/th> <td>26<\/td> <td class=\"g\">0.464<\/td> <td>4.2<\/td> <td>273<\/td> <td>36<\/td><\/tr>\r\n                <tr><th scope=\"row\">Burnet County<\/th> <td>25<\/td> <td class=\"g\">0.456<\/td> <td>6.3<\/td> <td>231<\/td> <td>33<\/td><\/tr>\r\n                <tr><th scope=\"row\">Polk County<\/th> <td>21<\/td> <td class=\"g\">0.430<\/td> <td>5.6<\/td> <td>203<\/td> <td>28<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n<p class=\"note\">County is the CRIS County field for the crash location. Vehicle miles are TxDOT&#39;s county daily vehicle miles traveled on the on system and off system roads in its roadway inventory, from the <a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/tpp\/roadway-inventory\/2005-to-2025-roadway-data-tables.xlsx\" target=\"_blank\" rel=\"noopener\">Roadway Data Tables<\/a>, multiplied by the days in each year and summed for 2019 through 2025. Vehicle mile rates are exposure measures, not fault findings; they depend on TxDOT&#39;s traffic estimates for each road. Resident rates divide the seven year annual average by the <a class=\"lnk\" href=\"https:\/\/www2.census.gov\/programs-surveys\/popest\/datasets\/2020-2025\/counties\/totals\/co-est2025-alldata.csv\" target=\"_blank\" rel=\"noopener\">Census Bureau&#39;s Vintage 2025 county estimate<\/a> for July 1, 2025, which slightly understates rates in fast growing counties, and they can run high in small counties crossed by busy highways, where many drivers may not be residents. Counties with fewer than 20 fatal head on crashes are left out of the rate rankings because a few crashes can swing a small county&#39;s rate. The full county dataset is in the <a class=\"lnk\" href=\"#data\">Get the Data section<\/a>.<\/p>\r\n\r\n          <\/section>\r\n          <section id=\"highways\" aria-labelledby=\"highways-title\">\r\n            <h2 id=\"highways-title\">Texas Highways With the Most <span class=\"accent\">Fatal Head On Crashes<\/span><\/h2>\r\n            <p>The routes with the most fatal head on crashes are not always the routes with the highest fatal crash rates. This study reports total fatal crashes, fatal crashes per 100 route miles, and fatal crashes per 100 million vehicle miles on the route, which separates route length and traffic volume from a disproportionate fatal crash burden.<\/p>\r\n            <p>CRIS records the state highway route for crashes on the TxDOT system. From 2019 through 2025, 2,788 of the 3,160 fatal head on crashes in Texas, 88.2%, happened on a named state highway route. <span class=\"tag\">[<a href=\"#HO-069\">HO-069<\/a>]<\/span><\/p>\r\n<h3 class=\"sub\">What the Route Data Shows<\/h3>\r\n<ul class=\"bars\" role=\"list\">\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span><strong>Most fatal head on crashes:<\/strong> SH 21 (44), followed by US 59 (43), US 281 (41), and US 190 and US 67 (40 each). <span class=\"tag\">[<a href=\"#HO-070\">HO-070<\/a>]<\/span><\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span><strong>Highest fatal rates, routes with 15 or more fatal head on crashes:<\/strong> FM 812, with 75.4 fatal head on crashes per 100 route miles and 2.79 per 100 million vehicle miles on the route. <span class=\"tag\">[<a href=\"#HO-071\">HO-071<\/a>, <a href=\"#HO-072\">HO-072<\/a>]<\/span><\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span><strong>Change from 2019 to 2025:<\/strong> not ranked, because route designations and mileage changed during the period. Between the 2019 and 2025 inventories, US 77 went from 411.6 to 396.3 main lane miles and I-69E from 58.9 to 68.6. <span class=\"tag\">[<a href=\"#HO-073\">HO-073<\/a>]<\/span><\/span><\/li>\r\n<\/ul>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-11\"><table class=\"dtable w760\">\r\n              <caption id=\"tbl-11\">State Highway Routes With the Most Fatal Head On Crashes, 2019 to 2025<\/caption>\r\n              <thead><tr><th scope=\"col\">Route<\/th> <th scope=\"col\">Route Miles<\/th> <th scope=\"col\">Head On<\/th> <th scope=\"col\">Fatal<\/th> <th scope=\"col\">Fatal or Serious<\/th> <th scope=\"col\">Fatal per 100 Route Miles<\/th> <th scope=\"col\">Fatal per 100 Million Vehicle Miles on the Route<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">SH&nbsp;21<\/th> <td>269<\/td> <td>252<\/td> <td class=\"g\">44<\/td> <td>84<\/td> <td>16.3<\/td> <td>0.761<\/td><\/tr>\r\n                <tr><th scope=\"row\">US&nbsp;59<\/th> <td>532<\/td> <td>283<\/td> <td class=\"g\">43<\/td> <td>84<\/td> <td>8.1<\/td> <td>0.206<\/td><\/tr>\r\n                <tr><th scope=\"row\">US&nbsp;281<\/th> <td>565<\/td> <td>300<\/td> <td class=\"g\">41<\/td> <td>92<\/td> <td>7.3<\/td> <td>0.205<\/td><\/tr>\r\n                <tr><th scope=\"row\">US&nbsp;190<\/th> <td>487<\/td> <td>290<\/td> <td class=\"g\">40<\/td> <td>88<\/td> <td>8.2<\/td> <td>0.537<\/td><\/tr>\r\n                <tr><th scope=\"row\">US&nbsp;67<\/th> <td>638<\/td> <td>211<\/td> <td class=\"g\">40<\/td> <td>70<\/td> <td>6.3<\/td> <td>0.314<\/td><\/tr>\r\n                <tr><th scope=\"row\">SH&nbsp;105<\/th> <td>151<\/td> <td>286<\/td> <td class=\"g\">39<\/td> <td>79<\/td> <td>25.9<\/td> <td>0.839<\/td><\/tr>\r\n                <tr><th scope=\"row\">SH&nbsp;36<\/th> <td>342<\/td> <td>258<\/td> <td class=\"g\">39<\/td> <td>87<\/td> <td>11.4<\/td> <td>0.682<\/td><\/tr>\r\n                <tr><th scope=\"row\">I-45<\/th> <td>285<\/td> <td>289<\/td> <td class=\"g\">35<\/td> <td>71<\/td> <td>12.3<\/td> <td>0.052<\/td><\/tr>\r\n                <tr><th scope=\"row\">US&nbsp;69<\/th> <td>339<\/td> <td>256<\/td> <td class=\"g\">35<\/td> <td>62<\/td> <td>10.3<\/td> <td>0.285<\/td><\/tr>\r\n                <tr><th scope=\"row\">US&nbsp;287<\/th> <td>505<\/td> <td>202<\/td> <td class=\"g\">35<\/td> <td>52<\/td> <td>6.9<\/td> <td>0.196<\/td><\/tr>\r\n                <tr><th scope=\"row\">I-10<\/th> <td>879<\/td> <td>323<\/td> <td class=\"g\">34<\/td> <td>64<\/td> <td>3.9<\/td> <td>0.032<\/td><\/tr>\r\n                <tr><th scope=\"row\">I-20<\/th> <td>636<\/td> <td>322<\/td> <td class=\"g\">34<\/td> <td>60<\/td> <td>5.3<\/td> <td>0.047<\/td><\/tr>\r\n                <tr><th scope=\"row\">US&nbsp;83<\/th> <td>739<\/td> <td>214<\/td> <td class=\"g\">34<\/td> <td>60<\/td> <td>4.6<\/td> <td>0.327<\/td><\/tr>\r\n                <tr><th scope=\"row\">US&nbsp;79<\/th> <td>272<\/td> <td>206<\/td> <td class=\"g\">33<\/td> <td>68<\/td> <td>12.1<\/td> <td>0.560<\/td><\/tr>\r\n                <tr><th scope=\"row\">US&nbsp;84<\/th> <td>530<\/td> <td>225<\/td> <td class=\"g\">32<\/td> <td>55<\/td> <td>6.0<\/td> <td>0.324<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n            <p>Long routes collect more crashes simply because they are long, so the table also shows rates. Adjusted for traffic, the highest rates among routes with at least 15 fatal head on crashes were on FM 812 (2.79 per 100 million vehicle miles on the route), US 57 (1.13), and SH 302 (1.09). The statewide rate for all inventoried roads was 0.155. <span class=\"tag\">[<a href=\"#HO-072\">HO-072<\/a>, <a href=\"#HO-067\">HO-067<\/a>]<\/span><\/p>\r\n<p class=\"note\">Corridor counts identify where crashes were recorded; they do not establish that a road&#39;s design, maintenance, or traffic controls caused any individual collision. Route miles are 2025 main lane centerline miles. Route vehicle miles are TxDOT&#39;s daily vehicle miles traveled on the route&#39;s main lanes and frontage roads, multiplied by the days in each year and summed for 2019 through 2025, both from TxDOT&#39;s <a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/tpp\/roadway-inventory\/2005-to-2025-roadway-data-tables.xlsx\" target=\"_blank\" rel=\"noopener\">Roadway Data Tables<\/a>. Vehicle mile rates are exposure measures, not fault findings. Rate rankings include only routes with 15 or more fatal head on crashes, and routes tied on fatal crashes are ordered by total head on crashes. Crashes off the state highway system carry no route name and are not included. The Methods section explains how crashes are assigned to routes.<\/p>\r\n\r\n          <\/section>\r\n          <section id=\"cities\" aria-labelledby=\"cities-title\">\r\n            <h2 id=\"cities-title\">The Largest Cities See <span class=\"accent\">Fewer Than Their Share<\/span><\/h2>\r\n            <p>In 2025, every one of the 12 selected cities in this study had a lower head on share than Texas as a whole. Midland had the highest share, 1.40% of its reportable crashes, and Lubbock the lowest, 0.62%. Statewide, the share was 1.44%. <span class=\"tag\">[<a href=\"#HO-074\">HO-074<\/a>, <a href=\"#HO-075\">HO-075<\/a>, <a href=\"#HO-008\">HO-008<\/a>]<\/span><\/p>\r\n<p class=\"callout\">Together, the 12 cities recorded 35.5% of all reportable Texas crashes in 2025, but only 21.5% of head on crashes and 12.0% of fatal head on crashes: 52 of 432. <span class=\"tag\">[<a href=\"#HO-076\">HO-076<\/a>]<\/span><\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-7\"><table class=\"dtable w660\">\r\n              <caption id=\"tbl-7\">Head On Crashes in 12 Texas Cities, 2025<\/caption>\r\n              <thead><tr><th scope=\"col\">City<\/th> <th scope=\"col\">All Crashes<\/th> <th scope=\"col\">Head On<\/th> <th scope=\"col\">Share<\/th> <th scope=\"col\">Per 100,000<\/th> <th scope=\"col\">Fatal<\/th> <th scope=\"col\">Fatal or Serious<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">Midland<\/th> <td>2,643<\/td> <td>37<\/td> <td class=\"g\">1.40%<\/td> <td>25.1<\/td> <td>1<\/td> <td>5<\/td><\/tr>\r\n                <tr><th scope=\"row\">Fort Worth<\/th> <td>15,679<\/td> <td>210<\/td> <td class=\"g\">1.34%<\/td> <td>20.4<\/td> <td>8<\/td> <td>22<\/td><\/tr>\r\n                <tr><th scope=\"row\">Austin<\/th> <td>11,143<\/td> <td>145<\/td> <td class=\"g\">1.30%<\/td> <td>14.5<\/td> <td>8<\/td> <td>16<\/td><\/tr>\r\n                <tr><th scope=\"row\">Odessa<\/th> <td>3,533<\/td> <td>33<\/td> <td class=\"g\">0.93%<\/td> <td>26.9<\/td> <td>0<\/td> <td>2<\/td><\/tr>\r\n                <tr><th scope=\"row\">Corpus Christi<\/th> <td>7,245<\/td> <td>64<\/td> <td class=\"g\">0.88%<\/td> <td>20.2<\/td> <td>4<\/td> <td>10<\/td><\/tr>\r\n                <tr><th scope=\"row\">Dallas<\/th> <td>24,685<\/td> <td>217<\/td> <td class=\"g\">0.88%<\/td> <td>16.3<\/td> <td>5<\/td> <td>29<\/td><\/tr>\r\n                <tr><th scope=\"row\">San Antonio<\/th> <td>37,304<\/td> <td>311<\/td> <td class=\"g\">0.83%<\/td> <td>20.1<\/td> <td>10<\/td> <td>29<\/td><\/tr>\r\n                <tr><th scope=\"row\">McAllen<\/th> <td>2,798<\/td> <td>23<\/td> <td class=\"g\">0.82%<\/td> <td>15.3<\/td> <td>2<\/td> <td>3<\/td><\/tr>\r\n                <tr><th scope=\"row\">Houston<\/th> <td>60,379<\/td> <td>467<\/td> <td class=\"g\">0.77%<\/td> <td>19.5<\/td> <td>11<\/td> <td>34<\/td><\/tr>\r\n                <tr><th scope=\"row\">El Paso<\/th> <td>14,728<\/td> <td>96<\/td> <td class=\"g\">0.65%<\/td> <td>14.1<\/td> <td>1<\/td> <td>8<\/td><\/tr>\r\n                <tr><th scope=\"row\">Laredo<\/th> <td>6,020<\/td> <td>38<\/td> <td class=\"g\">0.63%<\/td> <td>14.1<\/td> <td>1<\/td> <td>1<\/td><\/tr>\r\n                <tr><th scope=\"row\">Lubbock<\/th> <td>5,124<\/td> <td>32<\/td> <td class=\"g\">0.62%<\/td> <td>11.7<\/td> <td>1<\/td> <td>3<\/td><\/tr>\r\n                <tr><th scope=\"row\">12 cities combined<\/th> <td>191,281<\/td> <td>1,673<\/td> <td class=\"g\">0.87%<\/td> <td>18.0<\/td> <td>52<\/td> <td>162<\/td><\/tr>\r\n                <tr><th scope=\"row\">Texas, statewide<\/th> <td>539,112<\/td> <td>7,783<\/td> <td class=\"g\">1.44%<\/td> <td>24.5<\/td> <td>432<\/td> <td>1,122<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n<p class=\"tag-list\">City ledger rows: [<a href=\"#HO-074\">HO-074<\/a>, <a href=\"#HO-077\">HO-077<\/a>, <a href=\"#HO-078\">HO-078<\/a>, <a href=\"#HO-079\">HO-079<\/a>, <a href=\"#HO-080\">HO-080<\/a>, <a href=\"#HO-081\">HO-081<\/a>, <a href=\"#HO-082\">HO-082<\/a>, <a href=\"#HO-083\">HO-083<\/a>, <a href=\"#HO-084\">HO-084<\/a>, <a href=\"#HO-085\">HO-085<\/a>, <a href=\"#HO-086\">HO-086<\/a>, <a href=\"#HO-075\">HO-075<\/a>]<\/p>\r\n            <p>The same pattern holds for Texas cities of 250,000 or more people combined. Together, those cities recorded 35.8% of all reportable crashes but 21.0% of head on crashes and 11.8% of fatal head on crashes. <span class=\"tag\">[<a href=\"#HO-087\">HO-087<\/a>]<\/span><\/p>\r\n<p class=\"note\">City counts use the CRIS City field (the crash location city), not a city limits polygon. Fatal counts in individual cities are small, so a difference of a few crashes can change a city&#39;s rank. Population rates use the <a class=\"lnk\" href=\"https:\/\/www2.census.gov\/programs-surveys\/popest\/datasets\/2020-2025\/cities\/totals\/sub-est2025_48.csv\" target=\"_blank\" rel=\"noopener\">Census Bureau&#39;s Vintage 2025 estimates<\/a> and describe crashes per resident, not the risk to any individual driver. <span class=\"tag\">[<a href=\"#HO-088\">HO-088<\/a>, <a href=\"#HO-089\">HO-089<\/a>]<\/span><\/p>\r\n<h3 class=\"sub\">City Trends, 2019 to 2025<\/h3>\r\n            <p>Counts moved more in some cities than in others. Lubbock and McAllen had the widest relative swings: Lubbock recorded between 32 and 63 head on crashes a year and McAllen between 13 and 25. Houston, with far more crashes, stayed between 467 and 611. The table shows every year; the city by year CSV in the Get the Data section adds severity detail. <span class=\"tag\">[<a href=\"#HO-090\">HO-090<\/a>]<\/span><\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-12\"><table class=\"dtable w760\">\r\n              <caption id=\"tbl-12\">Head On Crashes by City and Year, 2019 to 2025<\/caption>\r\n              <thead><tr><th scope=\"col\">City<\/th> <th scope=\"col\">2019<\/th> <th scope=\"col\">2020<\/th> <th scope=\"col\">2021<\/th> <th scope=\"col\">2022<\/th> <th scope=\"col\">2023<\/th> <th scope=\"col\">2024<\/th> <th scope=\"col\">2025<\/th> <th scope=\"col\">Total<\/th> <th scope=\"col\">Fatal, 7 Years<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">Houston<\/th> <td>562<\/td> <td>517<\/td> <td>611<\/td> <td>605<\/td> <td>543<\/td> <td>544<\/td> <td>467<\/td> <td class=\"g\">3,849<\/td> <td>64<\/td><\/tr>\r\n                <tr><th scope=\"row\">Dallas<\/th> <td>277<\/td> <td>280<\/td> <td>323<\/td> <td>293<\/td> <td>237<\/td> <td>217<\/td> <td>217<\/td> <td class=\"g\">1,844<\/td> <td>45<\/td><\/tr>\r\n                <tr><th scope=\"row\">Fort Worth<\/th> <td>220<\/td> <td>205<\/td> <td>251<\/td> <td>208<\/td> <td>188<\/td> <td>163<\/td> <td>210<\/td> <td class=\"g\">1,445<\/td> <td>54<\/td><\/tr>\r\n                <tr><th scope=\"row\">Austin<\/th> <td>176<\/td> <td>156<\/td> <td>196<\/td> <td>184<\/td> <td>172<\/td> <td>137<\/td> <td>145<\/td> <td class=\"g\">1,166<\/td> <td>37<\/td><\/tr>\r\n                <tr><th scope=\"row\">San Antonio<\/th> <td>382<\/td> <td>328<\/td> <td>441<\/td> <td>391<\/td> <td>359<\/td> <td>360<\/td> <td>311<\/td> <td class=\"g\">2,572<\/td> <td>66<\/td><\/tr>\r\n                <tr><th scope=\"row\">El Paso<\/th> <td>91<\/td> <td>70<\/td> <td>99<\/td> <td>119<\/td> <td>81<\/td> <td>84<\/td> <td>96<\/td> <td class=\"g\">640<\/td> <td>10<\/td><\/tr>\r\n                <tr><th scope=\"row\">Midland<\/th> <td>40<\/td> <td>22<\/td> <td>33<\/td> <td>26<\/td> <td>36<\/td> <td>31<\/td> <td>37<\/td> <td class=\"g\">225<\/td> <td>12<\/td><\/tr>\r\n                <tr><th scope=\"row\">Odessa<\/th> <td>43<\/td> <td>26<\/td> <td>28<\/td> <td>40<\/td> <td>26<\/td> <td>30<\/td> <td>33<\/td> <td class=\"g\">226<\/td> <td>13<\/td><\/tr>\r\n                <tr><th scope=\"row\">Laredo<\/th> <td>50<\/td> <td>51<\/td> <td>50<\/td> <td>61<\/td> <td>72<\/td> <td>57<\/td> <td>38<\/td> <td class=\"g\">379<\/td> <td>9<\/td><\/tr>\r\n                <tr><th scope=\"row\">Lubbock<\/th> <td>43<\/td> <td>63<\/td> <td>60<\/td> <td>51<\/td> <td>54<\/td> <td>45<\/td> <td>32<\/td> <td class=\"g\">348<\/td> <td>15<\/td><\/tr>\r\n                <tr><th scope=\"row\">Corpus Christi<\/th> <td>82<\/td> <td>64<\/td> <td>75<\/td> <td>84<\/td> <td>66<\/td> <td>64<\/td> <td>64<\/td> <td class=\"g\">499<\/td> <td>18<\/td><\/tr>\r\n                <tr><th scope=\"row\">McAllen<\/th> <td>21<\/td> <td>19<\/td> <td>24<\/td> <td>20<\/td> <td>13<\/td> <td>25<\/td> <td>23<\/td> <td class=\"g\">145<\/td> <td>5<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n<h3 class=\"sub\">TxDOT Districts<\/h3>\r\n            <p>TxDOT divides the state into 25 districts. The fatal rate of head on crashes ranged from 2.5% in the Pharr district to 13.7% in the Bryan district, among districts with at least 100 head on crashes. Districts anchored by the largest metros recorded the most head on crashes; several largely rural districts recorded far higher fatal rates. <span class=\"tag\">[<a href=\"#HO-091\">HO-091<\/a>]<\/span><\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-8\"><table class=\"dtable w560\">\r\n              <caption id=\"tbl-8\">Head On Crashes by TxDOT District, 2025, Sorted by Fatal Crashes<\/caption>\r\n              <thead><tr><th scope=\"col\">District<\/th> <th scope=\"col\">Head On<\/th> <th scope=\"col\">Share of District Crashes<\/th> <th scope=\"col\">Fatal<\/th> <th scope=\"col\">Fatal Rate<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">Houston<\/th> <td>1,583<\/td> <td>1.08%<\/td> <td class=\"g\">52<\/td> <td>3.3%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Austin<\/th> <td>720<\/td> <td>2.10%<\/td> <td class=\"g\">49<\/td> <td>6.8%<\/td><\/tr>\r\n                <tr><th scope=\"row\">San Antonio<\/th> <td>724<\/td> <td>1.25%<\/td> <td class=\"g\">33<\/td> <td>4.6%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Dallas<\/th> <td>984<\/td> <td>1.20%<\/td> <td class=\"g\">32<\/td> <td>3.3%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Fort Worth<\/th> <td>676<\/td> <td>1.71%<\/td> <td class=\"g\">30<\/td> <td>4.4%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Tyler<\/th> <td>298<\/td> <td>2.17%<\/td> <td class=\"g\">29<\/td> <td>9.7%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Bryan<\/th> <td>205<\/td> <td>2.43%<\/td> <td class=\"g\">28<\/td> <td>13.7%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Waco<\/th> <td>242<\/td> <td>1.75%<\/td> <td class=\"g\">20<\/td> <td>8.3%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Beaumont<\/th> <td>296<\/td> <td>2.18%<\/td> <td class=\"g\">18<\/td> <td>6.1%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Odessa<\/th> <td>242<\/td> <td>2.18%<\/td> <td class=\"g\">18<\/td> <td>7.4%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Paris<\/th> <td>172<\/td> <td>2.73%<\/td> <td class=\"g\">18<\/td> <td>10.5%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Corpus Christi<\/th> <td>141<\/td> <td>1.19%<\/td> <td class=\"g\">15<\/td> <td>10.6%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Yoakum<\/th> <td>129<\/td> <td>2.45%<\/td> <td class=\"g\">12<\/td> <td>9.3%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Lufkin<\/th> <td>169<\/td> <td>3.24%<\/td> <td class=\"g\">11<\/td> <td>6.5%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Amarillo<\/th> <td>114<\/td> <td>1.38%<\/td> <td class=\"g\">11<\/td> <td>9.6%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Pharr<\/th> <td>363<\/td> <td>1.48%<\/td> <td class=\"g\">9<\/td> <td>2.5%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Atlanta<\/th> <td>144<\/td> <td>2.35%<\/td> <td class=\"g\">9<\/td> <td>6.2%<\/td><\/tr>\r\n                <tr><th scope=\"row\">El Paso<\/th> <td>152<\/td> <td>0.82%<\/td> <td class=\"g\">7<\/td> <td>4.6%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Laredo<\/th> <td>97<\/td> <td>1.13%<\/td> <td class=\"g\">7<\/td> <td>7.2%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Lubbock<\/th> <td>89<\/td> <td>1.07%<\/td> <td class=\"g\">7<\/td> <td>7.9%<\/td><\/tr>\r\n                <tr><th scope=\"row\">San Angelo<\/th> <td>56<\/td> <td>1.51%<\/td> <td class=\"g\">7<\/td> <td>12.5%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Abilene<\/th> <td>66<\/td> <td>1.29%<\/td> <td class=\"g\">5<\/td> <td>7.6%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Brownwood<\/th> <td>55<\/td> <td>2.59%<\/td> <td class=\"g\">3<\/td> <td>5.5%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Wichita Falls<\/th> <td>55<\/td> <td>1.33%<\/td> <td class=\"g\">1<\/td> <td>1.8%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Childress<\/th> <td>11<\/td> <td>1.94%<\/td> <td class=\"g\">1<\/td> <td>9.1%<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n\r\n          <\/section>\r\n          <section id=\"trauma\" aria-labelledby=\"trauma-title\">\r\n            <h2 id=\"trauma-title\">Head On Crashes in <span class=\"accent\">Linked Health Records<\/span><\/h2>\r\n            <p>The Texas Department of State Health Services links crash reports with EMS and trauma registry records. In its most recent <a class=\"lnk\" href=\"https:\/\/www.dshs.texas.gov\/sites\/default\/files\/injury\/EMST-Registries\/Data\/dshs-emstr-linkedreport-sept2025.pdf\" target=\"_blank\" rel=\"noopener\">linkage, for 2023<\/a>, the head on category, &quot;Opposite direction, both going straight,&quot; accounted for 627 of 8,297 linked patients, or 7.56%. A 2024 edition had not been published as of September 23, 2026. <span class=\"tag\">[<a href=\"#HO-092\">HO-092<\/a>]<\/span><\/p>\r\n<p class=\"callout\">Head on crashes were 1.45% of reportable Texas crashes in 2023, but the head on category accounted for 7.56% of patients in the linked crash, EMS, and trauma records, about 5 times its share of crashes. <span class=\"tag\">[<a href=\"#HO-093\">HO-093<\/a>]<\/span><\/p>\r\n<p class=\"note\">The comparison is approximate. DSHS counts patients and CRIS counts crashes, and one head on crash can injure several people. Only patients whose records DSHS matched across all three datasets are included.<\/p>\r\n<p class=\"note\">DSHS reports do not provide a consistent year to year series. The <a class=\"lnk\" href=\"https:\/\/www.dshs.texas.gov\/sites\/default\/files\/injury\/EMST-Registries\/Data\/DSHS-EMSTR-CRIS-2021-LinkedData-Sept2022.pdf\" target=\"_blank\" rel=\"noopener\">2021 three dataset report<\/a> used different inclusion rules, which changed again in 2022 and 2023, so shares across years should not be read as a trend.<\/p>\r\n\r\n          <\/section>\r\n          <section id=\"cost\" aria-labelledby=\"cost-title\">\r\n            <h2 id=\"cost-title\">The Minimum <span class=\"accent\">Measurable Cost<\/span><\/h2>\r\n            <p>For its <a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/highway-safety-engineering\/hsip-guidance-program.pdf\" target=\"_blank\" rel=\"noopener\">Highway Safety Improvement Program<\/a>, TxDOT assigns crash values of $4,290,000 for each fatal or serious injury crash and $360,000 for each minor injury crash in its 2026 program call. <span class=\"tag\">[<a href=\"#HO-094\">HO-094<\/a>]<\/span><\/p>\r\n            <p>Applied to the 1,122 fatal or serious head on crashes and 1,548 minor injury head on crashes recorded in 2025, those planning values total about $5.4 billion. Fatal or serious crashes account for 90% of that figure. <span class=\"tag\">[<a href=\"#HO-095\">HO-095<\/a>]<\/span><\/p>\r\n            <p>This is a floor, not a complete cost estimate. TxDOT does not publish a value for possible injury, or C, crashes or no injury, or O, crashes. Those categories accounted for 5,073 of the 2025 head on crashes.<\/p>\r\n<p class=\"note\">TxDOT&#39;s figures are comprehensive costs based on National Safety Council values. The program call does not identify a dollar year. They are planning values used to rank safety projects, not medical bills, insurance payments, settlements, or verdicts.<\/p>\r\n\r\n          <\/section>\r\n          <section id=\"data\" aria-labelledby=\"data-title\">\r\n            <h2 id=\"data-title\">The Dataset <span class=\"accent\">Behind Every Number<\/span><\/h2>\r\n            <p>The complete city by year dataset covers Texas and all 12 cities from 2019 through 2025. It includes all crashes, head on crashes, and head on crashes by severity. The county dataset covers every Texas county with a head on crash from 2019 through 2025, with deaths, 2025 population, vehicle miles, rates per 100,000 residents, and fatal crashes per 100 million vehicle miles.<\/p>\r\n            <p>Every figure on this page appears in the ledger with one of three labels:<\/p>\r\n<ul class=\"bars\" role=\"list\">\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>ORIGINAL: Calculated by this project from public records.<\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>SOURCED: Quoted from a cited document.<\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>DERIVED: Calculated from the original and sourced figures.<\/span><\/li>\r\n<\/ul>\r\n<details class=\"data-box\"><summary>City by year dataset, CSV (91 rows)<\/summary>\r\n<pre class=\"data-pre\">\r\ngeography,year,all_crashes,headon_crashes,headon_share_pct,headon_k,headon_a,headon_b,headon_c,headon_o,headon_unknown,headon_ka,all_k,all_ka\r\nTexas,2019,562258,7715,1.37,460,650,1136,1447,3988,34,1110,3299,16210\r\nTexas,2020,475275,6989,1.47,408,568,991,1255,3721,46,976,3545,15665\r\nTexas,2021,552707,8323,1.51,458,841,1322,1341,4310,51,1299,4028,19799\r\nTexas,2022,555691,8052,1.45,467,715,1336,1189,4285,60,1182,3968,19272\r\nTexas,2023,559734,8120,1.45,479,756,1428,1189,4208,60,1235,3874,19105\r\nTexas,2024,555039,8141,1.47,456,727,1551,1188,4180,39,1183,3772,18694\r\nTexas,2025,539112,7783,1.44,432,690,1548,1081,3992,40,1122,3471,17878\r\nHouston,2019,68850,562,0.82,6,29,56,135,328,8,35,241,1451\r\nHouston,2020,58172,517,0.89,10,23,57,108,305,14,33,259,1448\r\nHouston,2021,66887,611,0.91,6,41,68,128,358,10,47,308,1698\r\nHouston,2022,67358,605,0.90,13,19,65,127,361,20,32,301,1629\r\nHouston,2023,67498,543,0.80,7,20,72,126,303,15,27,275,1633\r\nHouston,2024,66322,544,0.82,11,26,66,135,299,7,37,319,1619\r\nHouston,2025,60379,467,0.77,11,23,52,116,260,5,34,273,1525\r\nDallas,2019,36825,277,0.75,9,23,37,59,149,0,32,172,1080\r\nDallas,2020,31986,280,0.88,5,26,46,49,153,1,31,204,1019\r\nDallas,2021,35326,323,0.91,5,22,52,67,171,6,27,208,1282\r\nDallas,2022,33959,293,0.86,7,10,52,48,174,2,17,212,1214\r\nDallas,2023,31638,237,0.75,5,17,41,46,124,4,22,197,1157\r\nDallas,2024,26126,217,0.83,9,28,47,22,107,4,37,207,1115\r\nDallas,2025,24685,217,0.88,5,24,44,33,108,3,29,165,1048\r\nFort Worth,2019,14874,220,1.48,7,9,25,71,108,0,16,85,429\r\nFort Worth,2020,12796,205,1.60,5,13,35,51,100,1,18,108,510\r\nFort Worth,2021,14720,251,1.71,12,17,47,63,112,0,29,117,554\r\nFort Worth,2022,13437,208,1.55,6,24,49,35,94,0,30,114,569\r\nFort Worth,2023,13519,188,1.39,11,14,34,33,94,2,25,109,546\r\nFort Worth,2024,12941,163,1.26,5,6,47,27,77,1,11,107,499\r\nFort Worth,2025,15679,210,1.34,8,14,54,46,87,1,22,107,582\r\nAustin,2019,16028,176,1.10,6,10,49,41,69,1,16,89,575\r\nAustin,2020,11819,156,1.32,4,5,32,37,76,2,9,88,453\r\nAustin,2021,12571,196,1.56,10,18,52,48,66,2,28,107,559\r\nAustin,2022,12938,184,1.42,1,13,48,45,74,3,14,112,574\r\nAustin,2023,12327,172,1.40,4,19,40,34,74,1,23,89,507\r\nAustin,2024,11401,137,1.20,4,9,41,29,54,0,13,93,459\r\nAustin,2025,11143,145,1.30,8,8,37,32,57,3,16,94,371\r\nSan Antonio,2019,43096,382,0.89,3,27,40,94,216,2,30,146,693\r\nSan Antonio,2020,33574,328,0.98,9,28,40,64,186,1,37,144,585\r\nSan Antonio,2021,38852,441,1.14,14,21,73,72,256,5,35,180,726\r\nSan Antonio,2022,39646,391,0.99,14,26,75,57,215,4,40,188,734\r\nSan Antonio,2023,40345,359,0.89,8,18,70,56,199,8,26,166,705\r\nSan Antonio,2024,39690,360,0.91,8,18,85,53,193,3,26,164,754\r\nSan Antonio,2025,37304,311,0.83,10,19,74,36,168,4,29,160,654\r\nEl Paso,2019,16263,91,0.56,3,2,9,21,53,3,5,65,247\r\nEl Paso,2020,12497,70,0.56,2,3,8,18,39,0,5,56,194\r\nEl Paso,2021,15661,99,0.63,1,2,20,16,60,0,3,66,257\r\nEl Paso,2022,16299,119,0.73,1,12,23,13,67,3,13,65,292\r\nEl Paso,2023,15920,81,0.51,1,2,22,8,48,0,3,73,303\r\nEl Paso,2024,15205,84,0.55,1,4,20,10,49,0,5,67,279\r\nEl Paso,2025,14728,96,0.65,1,7,30,11,47,0,8,53,276\r\nMidland,2019,4175,40,0.96,3,4,9,2,22,0,7,17,75\r\nMidland,2020,2520,22,0.87,1,4,4,1,12,0,5,11,65\r\nMidland,2021,2628,33,1.26,2,1,6,3,21,0,3,20,76\r\nMidland,2022,2818,26,0.92,1,3,4,5,13,0,4,23,100\r\nMidland,2023,2933,36,1.23,3,0,12,8,13,0,3,20,91\r\nMidland,2024,2677,31,1.16,1,3,7,5,15,0,4,19,79\r\nMidland,2025,2643,37,1.40,1,4,11,5,16,0,5,12,88\r\nOdessa,2019,3739,43,1.15,1,2,8,5,27,0,3,22,81\r\nOdessa,2020,2791,26,0.93,4,2,4,3,13,0,6,28,64\r\nOdessa,2021,2909,28,0.96,2,2,3,3,18,0,4,19,70\r\nOdessa,2022,3272,40,1.22,3,1,6,7,23,0,4,23,66\r\nOdessa,2023,3493,26,0.74,2,2,3,5,14,0,4,13,60\r\nOdessa,2024,3578,30,0.84,1,1,10,2,16,0,2,28,93\r\nOdessa,2025,3533,33,0.93,0,2,9,3,19,0,2,13,70\r\nLaredo,2019,5702,50,0.88,1,2,12,10,24,1,3,11,72\r\nLaredo,2020,4418,51,1.15,0,2,8,8,33,0,2,11,53\r\nLaredo,2021,5527,50,0.90,1,3,4,8,34,0,4,15,76\r\nLaredo,2022,6040,61,1.01,4,3,10,13,31,0,7,20,98\r\nLaredo,2023,6312,72,1.14,2,3,6,11,50,0,5,17,77\r\nLaredo,2024,6508,57,0.88,0,1,8,9,39,0,1,18,76\r\nLaredo,2025,6020,38,0.63,1,0,5,10,22,0,1,12,64\r\nLubbock,2019,6677,43,0.64,2,2,5,13,21,0,4,45,99\r\nLubbock,2020,6145,63,1.03,4,3,13,15,28,0,7,21,86\r\nLubbock,2021,7448,60,0.81,2,4,10,17,27,0,6,42,115\r\nLubbock,2022,6623,51,0.77,2,4,10,13,22,0,6,34,98\r\nLubbock,2023,6089,54,0.89,2,1,10,16,25,0,3,34,97\r\nLubbock,2024,5167,45,0.87,2,1,7,20,15,0,3,26,86\r\nLubbock,2025,5124,32,0.62,1,2,4,8,17,0,3,23,87\r\nCorpus Christi,2019,8177,82,1.00,1,3,6,16,56,0,4,34,132\r\nCorpus Christi,2020,6788,64,0.94,1,5,6,12,40,0,6,30,145\r\nCorpus Christi,2021,7991,75,0.94,2,3,12,15,43,0,5,42,161\r\nCorpus Christi,2022,7683,84,1.09,6,5,19,8,46,0,11,29,157\r\nCorpus Christi,2023,7440,66,0.89,2,3,11,13,36,1,5,35,157\r\nCorpus Christi,2024,7238,64,0.88,2,6,3,4,49,0,8,41,153\r\nCorpus Christi,2025,7245,64,0.88,4,6,18,2,34,0,10,35,159\r\nMcAllen,2019,2980,21,0.70,0,1,2,11,7,0,1,6,68\r\nMcAllen,2020,2144,19,0.89,1,2,3,11,2,0,3,6,45\r\nMcAllen,2021,2610,24,0.92,1,2,4,13,4,0,3,9,48\r\nMcAllen,2022,2836,20,0.71,1,1,5,8,5,0,2,12,68\r\nMcAllen,2023,2968,13,0.44,0,1,3,4,5,0,1,8,48\r\nMcAllen,2024,2904,25,0.86,0,0,7,6,12,0,0,6,62\r\nMcAllen,2025,2798,23,0.82,2,1,11,6,3,0,3,11,51<\/pre>\r\n<\/details>\r\n<details class=\"data-box\"><summary>County dataset, 2019 to 2025, CSV (253 rows)<\/summary>\r\n<pre class=\"data-pre\">\r\ncounty,headon_crashes,fatal_headon_crashes,fatal_or_serious_headon_crashes,deaths,population_2025,vehicle_miles_2019_2025,headon_per_100k_residents_per_year,fatal_per_100k_residents_per_year,fatal_per_100m_vehicle_miles\r\nAnderson County,178,17,30,24,59805,3535666577,42.52,4.06,0.481\r\nAndrews County,115,15,27,30,18914,2792396069,86.86,11.33,0.537\r\nAngelina County,236,21,44,25,88154,6267605282,38.24,3.40,0.335\r\nAransas County,61,7,17,9,26146,1616388032,33.33,3.82,0.433\r\nArcher County,26,6,9,7,9129,1131359479,40.69,9.39,0.530\r\nArmstrong County,11,3,3,10,1843,1134589307,85.26,23.25,0.264\r\nAtascosa County,123,6,25,6,53590,5764483283,32.79,1.60,0.104\r\nAustin County,88,9,18,9,33625,4427846747,37.39,3.82,0.203\r\nBailey County,15,0,0,0,6963,675411758,30.77,0.00,0.000\r\nBandera County,125,9,31,10,22876,1314678396,78.06,5.62,0.685\r\nBastrop County,402,46,87,65,118908,8148120564,48.30,5.53,0.565\r\nBaylor County,11,2,2,3,3472,683110792,45.26,8.23,0.293\r\nBee County,44,5,10,9,32515,1847921112,19.33,2.20,0.271\r\nBell County,635,43,121,53,402248,26563776564,22.55,1.53,0.162\r\nBexar County,3448,107,336,126,2160088,119376344739,22.80,0.71,0.090\r\nBlanco County,88,15,33,21,13581,2201377724,92.57,15.78,0.681\r\nBorden County,12,2,5,4,567,200012334,302.34,50.39,1.000\r\nBosque County,63,10,16,12,18918,1602958750,47.57,7.55,0.624\r\nBowie County,217,12,35,14,92696,8889837493,33.44,1.85,0.135\r\nBrazoria County,762,45,139,54,419080,21087198197,25.98,1.53,0.213\r\nBrazos County,267,16,42,18,249088,13042999624,15.31,0.92,0.123\r\nBrewster County,14,4,7,6,9458,771461306,21.15,6.04,0.518\r\nBriscoe County,2,0,0,0,1474,167374658,19.38,0.00,0.000\r\nBrooks County,17,1,3,1,6579,1800793431,36.91,2.17,0.056\r\nBrown County,72,5,13,6,38711,2574672846,26.57,1.85,0.194\r\nBurleson County,97,13,25,17,20549,2415637756,67.43,9.04,0.538\r\nBurnet County,231,25,60,33,57015,5484703498,57.88,6.26,0.456\r\nCaldwell County,190,19,42,20,55150,4172552760,49.22,4.92,0.455\r\nCalhoun County,53,8,10,10,19599,1630064236,38.63,5.83,0.491\r\nCallahan County,52,9,18,12,14491,2955268802,51.26,8.87,0.305\r\nCameron County,594,16,56,23,433946,23132075968,19.55,0.53,0.069\r\nCamp County,44,3,5,5,13380,823778002,46.98,3.20,0.364\r\nCarson County,23,5,7,9,5805,2318724759,56.60,12.30,0.216\r\nCass County,106,12,31,15,28651,2513586455,52.85,5.98,0.477\r\nCastro County,29,1,8,1,7295,820518789,56.79,1.96,0.122\r\nChambers County,151,11,30,16,57594,8506023489,37.45,2.73,0.129\r\nCherokee County,176,16,29,25,53337,3559170772,47.14,4.29,0.450\r\nChildress County,7,0,0,0,6643,1231410415,15.05,0.00,0.000\r\nClay County,29,3,6,6,10764,2301541509,38.49,3.98,0.130\r\nCochran County,1,1,1,1,2546,295546261,5.61,5.61,0.338\r\nCoke County,21,2,5,2,3412,523792660,87.92,8.37,0.382\r\nColeman County,33,8,15,12,7915,1086699570,59.56,14.44,0.736\r\nCollin County,1016,32,136,40,1297179,61511581834,11.19,0.35,0.052\r\nCollingsworth County,4,1,2,1,2487,251510057,22.98,5.74,0.398\r\nColorado County,85,10,21,12,21439,5501326680,56.64,6.66,0.182\r\nComal County,436,29,90,44,209166,15516407120,29.78,1.98,0.187\r\nComanche County,66,10,16,16,14432,1322165054,65.33,9.90,0.756\r\nConcho County,18,2,8,4,3607,839634279,71.29,7.92,0.238\r\nCooke County,93,5,19,7,44461,5467537187,29.88,1.61,0.091\r\nCoryell County,180,19,33,22,85592,3727029893,30.04,3.17,0.510\r\nCottle County,1,0,0,0,1224,179896990,11.67,0.00,0.000\r\nCrane County,29,7,12,14,4554,896260396,90.97,21.96,0.781\r\nCrockett County,24,5,6,5,2769,1736797731,123.82,25.80,0.288\r\nCrosby County,5,0,1,0,4852,527044766,14.72,0.00,0.000\r\nCulberson County,19,3,5,5,2267,2231711370,119.73,18.90,0.134\r\nDallam County,31,6,7,8,7508,1288300499,58.98,11.42,0.466\r\nDallas County,3165,87,323,120,2661397,177188567621,16.99,0.47,0.049\r\nDawson County,36,2,9,2,11776,1637269799,43.67,2.43,0.122\r\nDeWitt County,39,7,10,7,20309,1972234141,27.43,4.92,0.355\r\nDeaf Smith County,28,1,4,1,18626,1471311816,21.48,0.77,0.068\r\nDelta County,8,0,2,0,5549,511829925,20.60,0.00,0.000\r\nDenton County,821,39,108,46,1069346,49240369720,10.97,0.52,0.079\r\nDickens County,3,0,0,0,1692,302424703,25.33,0.00,0.000\r\nDimmit County,62,14,20,24,8024,1543017842,110.38,24.93,0.907\r\nDonley County,17,4,7,6,3213,1574298664,75.59,17.78,0.254\r\nDuval County,26,5,6,5,9402,1057412578,39.51,7.60,0.473\r\nEastland County,54,8,13,10,18143,3809291260,42.52,6.30,0.210\r\nEctor County,462,46,82,63,173801,12153208185,37.97,3.78,0.379\r\nEdwards County,5,0,2,0,1370,301461253,52.14,0.00,0.000\r\nEl Paso County,912,21,78,27,877858,46292109808,14.84,0.34,0.045\r\nEllis County,568,31,91,43,240867,18886266990,33.69,1.84,0.164\r\nErath County,143,15,25,23,43911,3724607721,46.52,4.88,0.403\r\nFalls County,54,11,17,18,17869,2241981278,43.17,8.79,0.491\r\nFannin County,110,23,38,35,39265,2683374448,40.02,8.37,0.857\r\nFayette County,97,9,19,12,25459,5399553359,54.43,5.05,0.167\r\nFisher County,21,3,6,4,3692,500865480,81.26,11.61,0.599\r\nFloyd County,2,0,0,0,4881,475297219,5.85,0.00,0.000\r\nFoard County,3,0,0,0,1044,151763408,41.05,0.00,0.000\r\nFort Bend County,850,36,105,44,975191,36367131393,12.45,0.53,0.099\r\nFranklin County,41,3,14,3,10994,1528236016,53.28,3.90,0.196\r\nFreestone County,93,7,16,8,20811,4529381826,63.84,4.81,0.155\r\nFrio County,45,8,14,13,18823,3647794815,34.15,6.07,0.219\r\nGaines County,52,5,13,9,23956,2409925093,31.01,2.98,0.207\r\nGalveston County,524,21,53,25,372207,17591474223,20.11,0.81,0.119\r\nGarza County,8,0,4,0,4510,1272697614,25.34,0.00,0.000\r\nGillespie County,104,11,31,18,28527,2609992690,52.08,5.51,0.421\r\nGlasscock County,18,7,9,11,1128,1017892001,227.96,88.65,0.688\r\nGoliad County,16,1,5,1,7208,950985503,31.71,1.98,0.105\r\nGonzales County,107,12,24,17,20159,4288702904,75.83,8.50,0.280\r\nGray County,29,5,8,8,20919,1936970045,19.80,3.41,0.258\r\nGrayson County,371,27,75,32,153613,12121269700,34.50,2.51,0.223\r\nGregg County,350,16,50,20,126095,9728505413,39.65,1.81,0.164\r\nGrimes County,196,30,55,41,34252,3639007711,81.75,12.51,0.824\r\nGuadalupe County,334,16,56,21,201111,11936599136,23.73,1.14,0.134\r\nHale County,38,5,11,7,31819,2827176884,17.06,2.24,0.177\r\nHall County,7,0,1,0,2737,724453254,36.54,0.00,0.000\r\nHamilton County,29,3,11,7,8680,1047680326,47.73,4.94,0.286\r\nHansford County,6,0,2,0,4944,418071968,17.34,0.00,0.000\r\nHardeman County,11,0,4,0,3292,1107825093,47.73,0.00,0.000\r\nHardin County,155,9,21,13,58723,4090580217,37.71,2.19,0.220\r\nHarris County,7753,161,603,198,5045026,294005441127,21.95,0.46,0.055\r\nHarrison County,214,8,27,9,71956,7864783334,42.49,1.59,0.102\r\nHartley County,58,11,17,22,4904,1338514687,168.96,32.04,0.822\r\nHaskell County,13,0,2,0,5499,704550700,33.77,0.00,0.000\r\nHays County,663,28,99,31,304390,17608355586,31.12,1.31,0.159\r\nHemphill County,8,0,0,0,3083,389412763,37.07,0.00,0.000\r\nHenderson County,273,26,56,36,88595,5600781942,44.02,4.19,0.464\r\nHidalgo County,1460,43,151,55,921549,44290940669,22.63,0.67,0.097\r\nHill County,132,12,24,14,39503,7530613458,47.74,4.34,0.159\r\nHockley County,33,8,14,10,21600,1948156897,21.83,5.29,0.411\r\nHood County,220,17,50,18,70501,3689771920,44.58,3.44,0.461\r\nHopkins County,104,6,14,6,39063,5018818728,38.03,2.19,0.120\r\nHouston County,94,16,27,24,22316,1860628105,60.17,10.24,0.860\r\nHoward County,79,6,10,9,30504,4143276510,37.00,2.81,0.145\r\nHudspeth County,35,9,10,10,3433,4040815294,145.65,37.45,0.223\r\nHunt County,304,33,73,40,123336,9258010569,35.21,3.82,0.356\r\nHutchinson County,24,3,4,5,19633,1055388079,17.46,2.18,0.284\r\nIrion County,9,2,2,2,1463,586657882,87.88,19.53,0.341\r\nJack County,29,6,9,11,9563,927443717,43.32,8.96,0.647\r\nJackson County,43,10,14,13,15393,2684185023,39.91,9.28,0.373\r\nJasper County,108,11,24,15,33075,3318481521,46.65,4.75,0.331\r\nJeff Davis County,8,0,0,0,1711,504989566,66.79,0.00,0.000\r\nJefferson County,692,24,71,31,254321,18627628523,38.87,1.35,0.129\r\nJim Hogg County,2,2,2,6,4555,387221177,6.27,6.27,0.517\r\nJim Wells County,82,8,13,9,38804,3496920660,30.19,2.95,0.229\r\nJohnson County,612,35,125,46,218048,12416982814,40.10,2.29,0.282\r\nJones County,29,5,6,8,20861,1480735268,19.86,3.42,0.338\r\nKarnes County,83,16,28,20,15018,2079245933,78.95,15.22,0.770\r\nKaufman County,487,30,97,42,209235,13678266602,33.25,2.05,0.219\r\nKendall County,177,12,39,16,53289,4012130820,47.45,3.22,0.299\r\nKenedy County,1,0,0,0,319,1247374076,44.78,0.00,0.000\r\nKerr County,119,15,32,26,54037,4235072139,31.46,3.97,0.354\r\nKimble County,22,3,5,4,4438,1913565042,70.82,9.66,0.157\r\nKing County,4,1,3,3,192,241901513,297.62,74.40,0.413\r\nKinney County,11,2,2,3,3128,571175579,50.24,9.13,0.350\r\nKleberg County,51,8,9,9,30315,2412265837,24.03,3.77,0.332\r\nKnox County,5,1,1,1,3192,421071204,22.38,4.48,0.237\r\nLa Salle County,20,5,7,7,6517,3250459037,43.84,10.96,0.154\r\nLamar County,165,14,27,17,51503,3944590718,45.77,3.88,0.355\r\nLamb County,27,5,8,7,12579,1306582196,30.66,5.68,0.383\r\nLampasas County,61,8,15,12,23657,1974288249,36.84,4.83,0.405\r\nLavaca County,53,6,11,12,20651,1808687310,36.66,4.15,0.332\r\nLee County,88,14,31,19,18729,2239646903,67.12,10.68,0.625\r\nLeon County,112,13,23,15,16894,4630773415,94.71,10.99,0.281\r\nLiberty County,529,42,93,59,121364,6966304680,62.27,4.94,0.603\r\nLimestone County,81,8,15,12,22849,1890931146,50.64,5.00,0.423\r\nLipscomb County,6,0,0,0,2955,278576026,29.01,0.00,0.000\r\nLive Oak County,61,4,10,9,11929,4165327192,73.05,4.79,0.096\r\nLlano County,95,10,26,13,23353,1764672714,58.11,6.12,0.567\r\nLoving County,63,8,16,11,52,999524143,17307.69,2197.80,0.800\r\nLubbock County,455,30,63,43,328906,18542785926,19.76,1.30,0.162\r\nLynn County,9,0,1,0,6017,1185872438,21.37,0.00,0.000\r\nMadison County,80,7,11,8,14226,3067600608,80.34,7.03,0.228\r\nMarion County,37,2,8,2,9896,819036623,53.41,2.89,0.244\r\nMartin County,91,12,26,13,5284,2963401302,246.03,32.44,0.405\r\nMason County,18,2,6,3,3990,573218665,64.45,7.16,0.349\r\nMatagorda County,82,11,24,13,36463,2644665911,32.13,4.31,0.416\r\nMaverick County,119,11,20,18,58823,3003215888,28.90,2.67,0.366\r\nMcCulloch County,29,5,10,5,7472,898892048,55.45,9.56,0.556\r\nMcLennan County,446,19,62,20,272020,22301009870,23.42,1.00,0.085\r\nMcMullen County,24,2,3,3,544,635841629,630.25,52.52,0.315\r\nMedina County,149,13,29,14,56881,4377271524,37.42,3.26,0.297\r\nMenard County,20,5,7,6,1956,480587818,146.07,36.52,1.040\r\nMidland County,446,23,65,26,187855,15335695747,33.92,1.75,0.150\r\nMilam County,143,20,38,27,26258,2444802156,77.80,10.88,0.818\r\nMills County,28,2,5,2,4580,697985276,87.34,6.24,0.287\r\nMitchell County,18,2,2,2,8947,2005129070,28.74,3.19,0.100\r\nMontague County,58,7,16,11,21966,2277700752,37.72,4.55,0.307\r\nMontgomery County,1818,61,216,73,781194,41571663247,33.25,1.12,0.147\r\nMoore County,55,6,11,7,21891,1672685460,35.89,3.92,0.359\r\nMorris County,35,3,9,6,12133,1345010751,41.21,3.53,0.223\r\nMotley County,7,2,2,3,1043,146609360,95.88,27.39,1.364\r\nNacogdoches County,251,24,44,34,66035,4932228680,54.30,5.19,0.487\r\nNavarro County,214,9,25,11,57181,6494018673,53.46,2.25,0.139\r\nNewton County,59,10,15,12,11954,1108664825,70.51,11.95,0.902\r\nNolan County,57,8,17,14,14117,3213107036,57.68,8.10,0.249\r\nNueces County,614,29,77,39,352992,23413956940,24.85,1.17,0.124\r\nOchiltree County,18,2,3,4,9284,781304129,27.70,3.08,0.256\r\nOldham County,32,6,11,10,1783,2337485489,256.39,48.07,0.257\r\nOrange County,221,18,42,22,86266,8303119898,36.60,2.98,0.217\r\nPalo Pinto County,87,6,13,8,30791,3248345788,40.36,2.78,0.185\r\nPanola County,127,15,32,23,23018,2800024760,78.82,9.31,0.536\r\nParker County,499,33,78,40,184767,13179688280,38.58,2.55,0.250\r\nParmer County,21,2,5,4,9678,1206946669,31.00,2.95,0.166\r\nPecos County,57,8,14,9,14560,3514838402,55.93,7.85,0.228\r\nPolk County,203,21,50,28,53434,4886890888,54.27,5.61,0.430\r\nPotter County,310,17,44,24,114453,9221114690,38.69,2.12,0.184\r\nPresidio County,19,4,10,7,5433,579229372,49.96,10.52,0.691\r\nRains County,38,9,13,12,13542,984094675,40.09,9.49,0.915\r\nRandall County,239,17,36,23,152351,7168501243,22.41,1.59,0.237\r\nReagan County,24,4,4,7,3166,877948884,108.29,18.05,0.456\r\nReal County,21,2,6,2,2745,303140397,109.29,10.41,0.660\r\nRed River County,65,10,17,13,11816,1226050302,78.59,12.09,0.816\r\nReeves County,166,12,31,19,12138,4982279734,195.37,14.12,0.241\r\nRefugio County,31,5,8,5,6657,2028133240,66.53,10.73,0.247\r\nRoberts County,14,0,0,0,867,241902331,230.68,0.00,0.000\r\nRobertson County,84,12,29,15,17839,2547186887,67.27,9.61,0.471\r\nRockwall County,336,4,28,4,140738,7957610117,34.11,0.41,0.050\r\nRunnels County,35,8,13,13,9693,1180354262,51.58,11.79,0.678\r\nRusk County,175,21,43,28,54854,3779811707,45.58,5.47,0.556\r\nSabine County,37,1,2,1,10012,786464350,52.79,1.43,0.127\r\nSan Augustine County,43,4,7,6,7722,805597191,79.55,7.40,0.497\r\nSan Jacinto County,101,3,20,4,29488,2458035028,48.93,1.45,0.122\r\nSan Patricio County,117,10,19,19,72053,6588120466,23.20,1.98,0.152\r\nSan Saba County,20,4,5,5,5787,559223822,49.37,9.87,0.715\r\nSchleicher County,9,2,3,3,2245,347852198,57.27,12.73,0.575\r\nScurry County,41,6,9,13,16162,1855513108,36.24,5.30,0.323\r\nShackelford County,16,1,2,1,3197,424254676,71.50,4.47,0.236\r\nShelby County,113,7,13,13,24286,2139182974,66.47,4.12,0.327\r\nSherman County,23,7,10,11,2781,801020772,118.15,35.96,0.874\r\nSmith County,758,55,117,74,252549,18327361344,42.88,3.11,0.300\r\nSomervell County,48,10,15,14,10261,820701408,66.83,13.92,1.218\r\nStarr County,131,5,12,5,66319,3223239374,28.22,1.08,0.155\r\nStephens County,23,1,2,1,9380,671615004,35.03,1.52,0.149\r\nSterling County,10,2,3,2,1349,664275829,105.90,21.18,0.301\r\nStonewall County,1,0,1,0,1186,206095466,12.05,0.00,0.000\r\nSutton County,13,2,3,2,3203,1821829100,57.98,8.92,0.110\r\nSwisher County,5,1,1,1,6703,1268404158,10.66,2.13,0.079\r\nTarrant County,2601,92,302,111,2248466,130329043538,16.53,0.58,0.071\r\nTaylor County,213,11,35,14,150077,9787226147,20.28,1.05,0.112\r\nTerrell County,15,4,7,9,702,222288445,305.25,81.40,1.799\r\nTerry County,16,4,6,7,11720,1578854360,19.50,4.88,0.253\r\nThrockmorton County,3,0,0,0,1554,212955291,27.58,0.00,0.000\r\nTitus County,118,5,19,9,31563,3480363538,53.41,2.26,0.144\r\nTom Green County,154,12,21,14,120602,6707051015,18.24,1.42,0.179\r\nTravis County,2434,106,304,124,1389670,77007713053,25.02,1.09,0.138\r\nTrinity County,55,4,9,4,14384,1084164359,54.62,3.97,0.369\r\nTyler County,95,14,20,19,20443,1595178985,66.39,9.78,0.878\r\nUpshur County,159,6,28,11,44410,3078749477,51.15,1.93,0.195\r\nUpton County,45,11,20,15,3131,938795339,205.32,50.19,1.172\r\nUvalde County,53,9,22,10,24963,2075541074,30.33,5.15,0.434\r\nVal Verde County,76,3,8,10,47835,2171529522,22.70,0.90,0.138\r\nVan Zandt County,170,15,37,22,66130,7025529802,36.72,3.24,0.214\r\nVictoria County,113,12,26,13,92656,7649361600,17.42,1.85,0.157\r\nWalker County,185,16,42,24,83842,7636728325,31.52,2.73,0.210\r\nWaller County,207,13,41,14,69858,6868199369,42.33,2.66,0.189\r\nWard County,62,13,17,17,11125,3639820546,79.61,16.69,0.357\r\nWashington County,113,10,19,13,38288,4172103798,42.16,3.73,0.240\r\nWebb County,436,12,33,16,281224,14725533617,22.15,0.61,0.081\r\nWharton County,118,16,30,22,42060,4972677514,40.08,5.43,0.322\r\nWheeler County,19,4,4,6,4773,1540520778,56.87,11.97,0.260\r\nWichita County,136,9,17,9,129555,7564728176,15.00,0.99,0.119\r\nWilbarger County,24,1,3,1,12481,1846749912,27.47,1.14,0.054\r\nWillacy County,15,0,2,0,19971,1491426662,10.73,0.00,0.000\r\nWilliamson County,750,45,118,54,752827,37953005930,14.23,0.85,0.119\r\nWilson County,149,12,30,13,56139,3467213688,37.92,3.05,0.346\r\nWinkler County,84,16,27,20,7540,1867994129,159.15,30.31,0.857\r\nWise County,265,22,60,30,83778,7616406225,45.19,3.75,0.289\r\nWood County,156,13,40,18,49688,2807442074,44.85,3.74,0.463\r\nYoakum County,7,1,2,1,7438,931404090,13.44,1.92,0.107\r\nYoung County,38,6,10,6,18154,1185511088,29.90,4.72,0.506\r\nZapata County,16,3,5,6,13753,870807446,16.62,3.12,0.345\r\nZavala County,32,8,13,17,9037,1192060346,50.59,12.65,0.671<\/pre>\r\n<\/details>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"ledger-cap\"><table class=\"dtable ledger w760\">\r\n              <caption id=\"ledger-cap\">Data point ledger, 97 rows, in page order<\/caption>\r\n              <thead><tr><th scope=\"col\">ID<\/th> <th scope=\"col\">Metric<\/th> <th scope=\"col\">Geography<\/th> <th scope=\"col\">Years<\/th> <th scope=\"col\">Value<\/th> <th scope=\"col\">Label<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr id=\"HO-001\"><th scope=\"row\">HO-001<\/th> <td>Fatal crash rate: head on vs all crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>5.55% vs 0.64%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-002\"><th scope=\"row\">HO-002<\/th> <td>Rural share of head on crashes \/ of fatal head on crashes \/ of all crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>53.0% \/ 73.4% \/ 27.4%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-003\"><th scope=\"row\">HO-003<\/th> <td>US and state highways plus Farm to Market roads: share of head on crashes \/ of fatal head on crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>39.4% \/ 77.5%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-004\"><th scope=\"row\">HO-004<\/th> <td>Posted 55 mph or higher: share of head on crashes \/ of fatal head on crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>34.2% \/ 80.6%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-005\"><th scope=\"row\">HO-005<\/th> <td>People killed in head on (code 30) crashes, from CRIS crash death counts<\/td> <td>Texas<\/td> <td>2025<\/td> <td>554<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-006\"><th scope=\"row\">HO-006<\/th> <td>Head on crashes (manner of collision code 30), reportable<\/td> <td>Texas<\/td> <td>2025<\/td> <td>7,783<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-007\"><th scope=\"row\">HO-007<\/th> <td>All reportable crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>539,112<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-008\"><th scope=\"row\">HO-008<\/th> <td>Head on share of all reportable crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>1.44%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-009\"><th scope=\"row\">HO-009<\/th> <td>Head on share of all fatal crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>12.4%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-010\"><th scope=\"row\">HO-010<\/th> <td>Head on crashes per year \/ fatal head on crashes per year (range)<\/td> <td>Texas<\/td> <td>2019 to 2025<\/td> <td>6,989 to 8,323 \/ 408 to 479<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-011\"><th scope=\"row\">HO-011<\/th> <td>Fatal or serious (KA) rate: head on vs all crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>14.42% vs 3.32%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-012\"><th scope=\"row\">HO-012<\/th> <td>Rank of head on among all manner of collision categories by fatal rate and by KA rate<\/td> <td>Texas<\/td> <td>2019 to 2025<\/td> <td>Fatal rate: #1 every year \/ KA rate: #1 in 2025, and #1 every year among categories with 100 or more crashes<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-013\"><th scope=\"row\">HO-013<\/th> <td>Fatal crash rate by manner: one vehicle going straight \/ left turn across opposing traffic \/ rear end<\/td> <td>Texas<\/td> <td>2025<\/td> <td>1.70% \/ 0.55% \/ 0.22%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-014\"><th scope=\"row\">HO-014<\/th> <td>Fatal head on crashes that killed two or more people \/ share of fatal head on crashes vs all fatal crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>99 \/ 22.9% vs 6.9%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-015\"><th scope=\"row\">HO-015<\/th> <td>Head on share of all traffic deaths in reportable crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>14.7%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-016\"><th scope=\"row\">HO-016<\/th> <td>People killed in head on crashes, TxDOT Crash Facts<\/td> <td>Texas<\/td> <td>2019 to 2025<\/td> <td>595 \/ 539 \/ 609 \/ 635 \/ 635 \/ 617 \/ 555<\/td> <td>SOURCED<\/td><\/tr>\r\n                <tr id=\"HO-017\"><th scope=\"row\">HO-017<\/th> <td>CRIS code 30 deaths vs TxDOT published head on deaths, largest difference in any year<\/td> <td>Texas<\/td> <td>2019 to 2025<\/td> <td>2 deaths<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-018\"><th scope=\"row\">HO-018<\/th> <td>People in head on crashes \/ killed \/ suspected serious injury<\/td> <td>Texas<\/td> <td>2025<\/td> <td>23,051 \/ 554 \/ 1,313<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-019\"><th scope=\"row\">HO-019<\/th> <td>Drivers \/ passengers killed in head on crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>416 \/ 109<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-020\"><th scope=\"row\">HO-020<\/th> <td>Motorcycle operators in head on crashes \/ killed<\/td> <td>Texas<\/td> <td>2025<\/td> <td>132 \/ 27<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-021\"><th scope=\"row\">HO-021<\/th> <td>Drivers ages 15 to 19; 20 to 24; 25 to 64; 65 and older in head on crashes: involved \/ killed<\/td> <td>Texas<\/td> <td>2025<\/td> <td>1,131 \/ 29; 1,799 \/ 49; 10,830 \/ 301; 1,514 \/ 63<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-022\"><th scope=\"row\">HO-022<\/th> <td>People in a commercial motor vehicle in head on crashes: involved \/ killed<\/td> <td>Texas<\/td> <td>2025<\/td> <td>1,732 \/ 9<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-023\"><th scope=\"row\">HO-023<\/th> <td>People killed in head on crashes wearing a shoulder and lap belt \/ unrestrained share where restraint use was recorded<\/td> <td>Texas<\/td> <td>2025<\/td> <td>316 \/ 30.8% (144 of 467)<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-024\"><th scope=\"row\">HO-024<\/th> <td>People killed in vehicles who were not restrained, where restraint use applied and was known (all crash types)<\/td> <td>Texas<\/td> <td>2025<\/td> <td>45.94%<\/td> <td>SOURCED<\/td><\/tr>\r\n                <tr id=\"HO-025\"><th scope=\"row\">HO-025<\/th> <td>Head on crashes by severity K \/ A \/ B \/ C \/ O \/ unknown<\/td> <td>Texas<\/td> <td>2025<\/td> <td>432 \/ 690 \/ 1,548 \/ 1,081 \/ 3,992 \/ 40<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-026\"><th scope=\"row\">HO-026<\/th> <td>Head on share of all KA crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>6.3%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-027\"><th scope=\"row\">HO-027<\/th> <td>CRIS rural reportable crashes vs TxDOT Crash Facts rural crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>147,652 vs 147,617<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-028\"><th scope=\"row\">HO-028<\/th> <td>Fatal rate of head on crashes: rural vs urban<\/td> <td>Texas<\/td> <td>2025<\/td> <td>7.7% vs 3.1%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-029\"><th scope=\"row\">HO-029<\/th> <td>City streets: share of head on crashes \/ of fatal head on crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>37.3% \/ 10.0%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-030\"><th scope=\"row\">HO-030<\/th> <td>County roads: share of head on crashes \/ of all crashes; fatal rate \/ fatal head on crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>19.1% \/ 7.4%; 1.4% \/ 21<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-031\"><th scope=\"row\">HO-031<\/th> <td>Fatal rate of head on crashes at 30 mph \/ 55 mph \/ 70 mph posted limits<\/td> <td>Texas<\/td> <td>2025<\/td> <td>0.8% \/ 8.7% \/ 17.6%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-032\"><th scope=\"row\">HO-032<\/th> <td>State highway system share of head on crashes \/ of fatal head on crashes \/ of all crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>47.4% \/ 86.3% \/ 58.1%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-033\"><th scope=\"row\">HO-033<\/th> <td>Commercial motor vehicle involved: share of head on crashes \/ of fatal head on crashes \/ of all crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>11.2% \/ 19.2% \/ 7.1%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-034\"><th scope=\"row\">HO-034<\/th> <td>Fatal head on crashes not at or related to an intersection or driveway<\/td> <td>Texas<\/td> <td>2025<\/td> <td>94.4%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-035\"><th scope=\"row\">HO-035<\/th> <td>Rural share of head on crashes \/ of fatal head on crashes, range across years<\/td> <td>Texas<\/td> <td>2019 to 2025<\/td> <td>47.9% to 53.0% \/ 70.8% to 77.7%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-036\"><th scope=\"row\">HO-036<\/th> <td>Head on crashes \/ fatal head on crashes in the dark (not lighted, lighted, unknown lighting)<\/td> <td>Texas<\/td> <td>2025<\/td> <td>36.4% \/ 49.5%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-037\"><th scope=\"row\">HO-037<\/th> <td>Dark, not lighted: share of head on crashes \/ of fatal head on crashes \/ of all crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>19.5% \/ 38.9% \/ 9.2%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-038\"><th scope=\"row\">HO-038<\/th> <td>Fatal rate of head on crashes: dark, not lighted vs daylight<\/td> <td>Texas<\/td> <td>2025<\/td> <td>11.1% vs 4.3%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-039\"><th scope=\"row\">HO-039<\/th> <td>Busiest hour for head on crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>17:00 to 17:59, 582<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-040\"><th scope=\"row\">HO-040<\/th> <td>Midnight to 5:59 a.m.: share of head on crashes \/ of fatal head on crashes \/ of all crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>11.3% \/ 22.5% \/ 9.6%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-041\"><th scope=\"row\">HO-041<\/th> <td>Three hour window with the most fatal head on crashes \/ head on crashes in that window<\/td> <td>Texas<\/td> <td>2025<\/td> <td>3 p.m. to 5:59 p.m.: 65 \/ 1,602<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-042\"><th scope=\"row\">HO-042<\/th> <td>Saturday and Sunday: share of head on crashes \/ of fatal head on crashes \/ of all crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>27.8% \/ 32.6% \/ 24.6%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-043\"><th scope=\"row\">HO-043<\/th> <td>Day with the most fatal head on crashes \/ its fatal rate<\/td> <td>Texas<\/td> <td>2025<\/td> <td>Sunday 73 \/ 7.2%<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-044\"><th scope=\"row\">HO-044<\/th> <td>Rain recorded: share of head on crashes \/ of all reportable crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>10.6% \/ 6.7%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-045\"><th scope=\"row\">HO-045<\/th> <td>Wet road surface: share of head on crashes \/ of all reportable crashes; fatal rate of head on crashes, wet vs dry surface<\/td> <td>Texas<\/td> <td>2025<\/td> <td>14.6% \/ 9.5%; 4.7% vs 5.7%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-046\"><th scope=\"row\">HO-046<\/th> <td>Head on crashes citing failed to drive in single lane: all \/ fatal<\/td> <td>Texas<\/td> <td>2025<\/td> <td>2,312 (29.7%) \/ 137 (31.7%)<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-047\"><th scope=\"row\">HO-047<\/th> <td>Head on crashes citing at least one lane keeping factor: all \/ fatal<\/td> <td>Texas<\/td> <td>2025<\/td> <td>3,970 (51.0%) \/ 268 (62.0%)<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-048\"><th scope=\"row\">HO-048<\/th> <td>Head on crashes citing at least one passing factor: all \/ fatal<\/td> <td>Texas<\/td> <td>2025<\/td> <td>252 (3.2%) \/ 37 (8.6%)<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-049\"><th scope=\"row\">HO-049<\/th> <td>Head on crashes citing wrong side, not passing: all \/ fatal<\/td> <td>Texas<\/td> <td>2025<\/td> <td>866 (11.1%) \/ 138 (31.9%)<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-050\"><th scope=\"row\">HO-050<\/th> <td>Head on crashes citing alcohol or drugs (under influence, intoxicated, or had been drinking): all \/ fatal<\/td> <td>Texas<\/td> <td>2025<\/td> <td>964 (12.4%) \/ 155 (35.9%)<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-051\"><th scope=\"row\">HO-051<\/th> <td>Wrong way driving crashes on Texas controlled access highways: total \/ average per year \/ share fatal<\/td> <td>Texas<\/td> <td>2010 to 2019<\/td> <td>About 1,700 \/ about 170 \/ 10%<\/td> <td>SOURCED<\/td><\/tr>\r\n                <tr id=\"HO-052\"><th scope=\"row\">HO-052<\/th> <td>Head on crashes citing wrong way, one way road: all \/ fatal<\/td> <td>Texas<\/td> <td>2025<\/td> <td>409 \/ 68<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-053\"><th scope=\"row\">HO-053<\/th> <td>Head on crashes with TxDOT roadway inventory data<\/td> <td>Texas<\/td> <td>2025<\/td> <td>3,626 crashes, 373 fatal<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-054\"><th scope=\"row\">HO-054<\/th> <td>Two lane, two way roads: share of inventoried head on crashes \/ of their fatal crashes \/ of all inventoried crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>61.0% \/ 67.0% \/ 17.3%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-055\"><th scope=\"row\">HO-055<\/th> <td>Fatal head on crashes on two lane, two way roads as a share of all fatal head on crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>57.9%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-056\"><th scope=\"row\">HO-056<\/th> <td>Fatal head on crashes on rural two lane, two way roads \/ share of all fatal head on crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>227 \/ 52.5%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-057\"><th scope=\"row\">HO-057<\/th> <td>No median: share of inventoried head on crashes \/ of their fatal crashes \/ of all inventoried crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>79.9% \/ 81.8% \/ 37.9%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-058\"><th scope=\"row\">HO-058<\/th> <td>On a curve: share of head on crashes \/ of fatal head on crashes \/ of all crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>24.9% \/ 30.8% \/ 7.4%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-059\"><th scope=\"row\">HO-059<\/th> <td>Head on crashes on roads coded with a positive median barrier<\/td> <td>Texas<\/td> <td>2025<\/td> <td>354 (36 fatal)<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-060\"><th scope=\"row\">HO-060<\/th> <td>TxDOT reduction factors: median barrier \/ added paved width \/ passing lanes \/ milled centerline rumble strips<\/td> <td>Texas<\/td> <td>2026 HSIP program call<\/td> <td>50% \/ 30% \/ 25% \/ 15%<\/td> <td>SOURCED<\/td><\/tr>\r\n                <tr id=\"HO-061\"><th scope=\"row\">HO-061<\/th> <td>Share of HSIP funds for the annual priority, which targets curve and straightaway countermeasures for run off road and head on crashes<\/td> <td>Texas<\/td> <td>FY 2026 to 2028<\/td> <td>15%<\/td> <td>SOURCED<\/td><\/tr>\r\n                <tr id=\"HO-062\"><th scope=\"row\">HO-062<\/th> <td>Super 2 highways vs traditional rural two lane highways: reduction in total \/ fatal and injury (KABC) crashes<\/td> <td>Texas<\/td> <td>2003 to 2023 crash data<\/td> <td>21% \/ 16%<\/td> <td>SOURCED<\/td><\/tr>\r\n                <tr id=\"HO-063\"><th scope=\"row\">HO-063<\/th> <td>Head on crashes \/ fatal head on crashes \/ deaths<\/td> <td>Texas, all counties<\/td> <td>2019 to 2025<\/td> <td>55,123 \/ 3,160 \/ 4,185<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-064\"><th scope=\"row\">HO-064<\/th> <td>Most fatal head on crashes of any county \/ fatal per 100 million vehicle miles<\/td> <td>Harris County<\/td> <td>2019 to 2025<\/td> <td>161 \/ 0.055<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-065\"><th scope=\"row\">HO-065<\/th> <td>Highest fatal head on crashes per 100,000 residents a year \/ statewide<\/td> <td>Counties with 20 or more fatal head on crashes<\/td> <td>2019 to 2025<\/td> <td>Grimes 12.5 \/ 1.4<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-066\"><th scope=\"row\">HO-066<\/th> <td>Highest fatal head on crash rates per 100 million vehicle miles<\/td> <td>Counties with 20 or more fatal head on crashes<\/td> <td>2019 to 2025<\/td> <td>Fannin 0.86; Grimes 0.82; Milam 0.82<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-067\"><th scope=\"row\">HO-067<\/th> <td>Fatal head on crashes per 100 million vehicle miles<\/td> <td>Texas<\/td> <td>2019 to 2025<\/td> <td>0.155<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-068\"><th scope=\"row\">HO-068<\/th> <td>Largest increase \/ largest decrease in head on crashes<\/td> <td>Texas counties<\/td> <td>2019 vs 2025<\/td> <td>Hidalgo 168 to 239 \/ Harris 1,123 to 1,000<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-069\"><th scope=\"row\">HO-069<\/th> <td>Fatal head on crashes on a named state highway route \/ all fatal head on crashes<\/td> <td>Texas state highway system<\/td> <td>2019 to 2025<\/td> <td>2,788 of 3,160 (88.2%)<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-070\"><th scope=\"row\">HO-070<\/th> <td>State routes with the most fatal head on crashes<\/td> <td>Texas<\/td> <td>2019 to 2025<\/td> <td>SH 21 44; US 59 43; US 281 41; US 190 40; US 67 40<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-071\"><th scope=\"row\">HO-071<\/th> <td>Highest fatal head on crashes per 100 route miles<\/td> <td>Routes with 15 or more fatal head on crashes<\/td> <td>2019 to 2025<\/td> <td>FM 812 75.4<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-072\"><th scope=\"row\">HO-072<\/th> <td>Highest fatal head on crash rates per 100 million vehicle miles<\/td> <td>Routes with 15 or more fatal head on crashes<\/td> <td>2019 to 2025<\/td> <td>FM 812 2.79; US 57 1.13; SH 302 1.09<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-073\"><th scope=\"row\">HO-073<\/th> <td>Main lane centerline miles, US 77 \/ I-69E<\/td> <td>US 77 and I-69E<\/td> <td>2019 and 2025 inventories<\/td> <td>411.6 to 396.3 \/ 58.9 to 68.6<\/td> <td>SOURCED<\/td><\/tr>\r\n                <tr id=\"HO-074\"><th scope=\"row\">HO-074<\/th> <td>Head on crashes \/ share of crashes \/ per 100,000 residents \/ fatal<\/td> <td>Midland<\/td> <td>2025<\/td> <td>37 \/ 1.40% \/ 25.1 \/ 1<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-075\"><th scope=\"row\">HO-075<\/th> <td>Head on crashes \/ share of crashes \/ per 100,000 residents \/ fatal<\/td> <td>Lubbock<\/td> <td>2025<\/td> <td>32 \/ 0.62% \/ 11.7 \/ 1<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-076\"><th scope=\"row\">HO-076<\/th> <td>Share of Texas reportable crashes \/ head on crashes \/ fatal head on crashes<\/td> <td>12 study cities combined<\/td> <td>2025<\/td> <td>35.5% \/ 21.5% \/ 12.0%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-077\"><th scope=\"row\">HO-077<\/th> <td>Head on crashes \/ share of crashes \/ per 100,000 residents \/ fatal<\/td> <td>Fort Worth<\/td> <td>2025<\/td> <td>210 \/ 1.34% \/ 20.4 \/ 8<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-078\"><th scope=\"row\">HO-078<\/th> <td>Head on crashes \/ share of crashes \/ per 100,000 residents \/ fatal<\/td> <td>Austin<\/td> <td>2025<\/td> <td>145 \/ 1.30% \/ 14.5 \/ 8<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-079\"><th scope=\"row\">HO-079<\/th> <td>Head on crashes \/ share of crashes \/ per 100,000 residents \/ fatal<\/td> <td>Odessa<\/td> <td>2025<\/td> <td>33 \/ 0.93% \/ 26.9 \/ 0<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-080\"><th scope=\"row\">HO-080<\/th> <td>Head on crashes \/ share of crashes \/ per 100,000 residents \/ fatal<\/td> <td>Corpus Christi<\/td> <td>2025<\/td> <td>64 \/ 0.88% \/ 20.2 \/ 4<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-081\"><th scope=\"row\">HO-081<\/th> <td>Head on crashes \/ share of crashes \/ per 100,000 residents \/ fatal<\/td> <td>Dallas<\/td> <td>2025<\/td> <td>217 \/ 0.88% \/ 16.3 \/ 5<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-082\"><th scope=\"row\">HO-082<\/th> <td>Head on crashes \/ share of crashes \/ per 100,000 residents \/ fatal<\/td> <td>San Antonio<\/td> <td>2025<\/td> <td>311 \/ 0.83% \/ 20.1 \/ 10<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-083\"><th scope=\"row\">HO-083<\/th> <td>Head on crashes \/ share of crashes \/ per 100,000 residents \/ fatal<\/td> <td>McAllen<\/td> <td>2025<\/td> <td>23 \/ 0.82% \/ 15.3 \/ 2<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-084\"><th scope=\"row\">HO-084<\/th> <td>Head on crashes \/ share of crashes \/ per 100,000 residents \/ fatal<\/td> <td>Houston<\/td> <td>2025<\/td> <td>467 \/ 0.77% \/ 19.5 \/ 11<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-085\"><th scope=\"row\">HO-085<\/th> <td>Head on crashes \/ share of crashes \/ per 100,000 residents \/ fatal<\/td> <td>El Paso<\/td> <td>2025<\/td> <td>96 \/ 0.65% \/ 14.1 \/ 1<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-086\"><th scope=\"row\">HO-086<\/th> <td>Head on crashes \/ share of crashes \/ per 100,000 residents \/ fatal<\/td> <td>Laredo<\/td> <td>2025<\/td> <td>38 \/ 0.63% \/ 14.1 \/ 1<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-087\"><th scope=\"row\">HO-087<\/th> <td>Share of all crashes \/ of head on crashes \/ of fatal head on crashes<\/td> <td>Texas cities of 250,000 or more<\/td> <td>2025<\/td> <td>35.8% \/ 21.0% \/ 11.8%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-088\"><th scope=\"row\">HO-088<\/th> <td>Resident population estimates (Vintage 2025)<\/td> <td>Texas and 12 cities<\/td> <td>July 1, 2025<\/td> <td>Texas 31,709,821<\/td> <td>SOURCED<\/td><\/tr>\r\n                <tr id=\"HO-089\"><th scope=\"row\">HO-089<\/th> <td>Head on crashes per 100,000 residents<\/td> <td>Texas<\/td> <td>2025<\/td> <td>24.5<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-090\"><th scope=\"row\">HO-090<\/th> <td>Head on crashes by city and year; seven year totals<\/td> <td>12 study cities<\/td> <td>2019 to 2025<\/td> <td>Houston 3,849 to McAllen 145<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-091\"><th scope=\"row\">HO-091<\/th> <td>Highest \/ lowest fatal rate of head on crashes among districts with 100 or more head on crashes<\/td> <td>TxDOT districts<\/td> <td>2025<\/td> <td>Bryan 13.7% \/ Pharr 2.5%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-092\"><th scope=\"row\">HO-092<\/th> <td>Head on (opposite direction, both going straight) among linked crash, EMS, and trauma patients<\/td> <td>Texas<\/td> <td>2023<\/td> <td>627 of 8,297 (7.56%)<\/td> <td>SOURCED<\/td><\/tr>\r\n                <tr id=\"HO-093\"><th scope=\"row\">HO-093<\/th> <td>Head on share of reportable crashes (CRIS) vs of linked trauma patients (DSHS)<\/td> <td>Texas<\/td> <td>2023<\/td> <td>1.45% vs 7.56%<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-094\"><th scope=\"row\">HO-094<\/th> <td>TxDOT cost per crash: fatal or serious (K or A) \/ minor injury (B)<\/td> <td>Texas<\/td> <td>2026 HSIP program call<\/td> <td>$4,290,000 \/ $360,000<\/td> <td>SOURCED<\/td><\/tr>\r\n                <tr id=\"HO-095\"><th scope=\"row\">HO-095<\/th> <td>Planning value calculation: 2025 K, A, and B head on crashes at TxDOT 2026 HSIP values (not medical bills, insurance payments, settlements, or total cost)<\/td> <td>Texas<\/td> <td>2025<\/td> <td>$5.37 billion<\/td> <td>DERIVED<\/td><\/tr>\r\n                <tr id=\"HO-096\"><th scope=\"row\">HO-096<\/th> <td>All opposite direction crashes (codes 30 to 39) \/ of which left turn across traffic (code 34)<\/td> <td>Texas<\/td> <td>2025<\/td> <td>53,767 \/ 40,149<\/td> <td>ORIGINAL<\/td><\/tr>\r\n                <tr id=\"HO-097\"><th scope=\"row\">HO-097<\/th> <td>Head on crashes on main lanes \/ frontage roads \/ ramps and connectors; fatal head on crashes on main lanes \/ frontage roads \/ ramps and connectors<\/td> <td>Named state highway routes<\/td> <td>2019 to 2025<\/td> <td>96.3% \/ 2.6% \/ 0.8%; 98.6% \/ 1.0% \/ 0.4%<\/td> <td>DERIVED<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n          <\/section>\r\n          <section id=\"methods\" aria-labelledby=\"methods-title\">\r\n            <h2 id=\"methods-title\">How the Head On Crash Counts <span class=\"accent\">Were Calculated<\/span><\/h2>\r\n<h3 class=\"sub\">How We Defined a Head On Crash<\/h3>\r\n            <p>This study uses TxDOT Crash Records Information System manner of collision code 30: &quot;Opposite direction, both going straight.&quot; The definition captures collisions in which two vehicles were traveling in opposite directions and both were recorded as proceeding straight at impact. TxDOT&#39;s <a class=\"lnk\" href=\"https:\/\/ftp.dot.state.tx.us\/pub\/txdot-info\/library\/pubs\/gov\/shsp.pdf\" target=\"_blank\" rel=\"noopener\">Strategic Highway Safety Plan<\/a> uses the same code for its head on crash definition, and TxDOT&#39;s <a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/annual-motor-vehicle-crash-data-report-definitions.pdf\" target=\"_blank\" rel=\"noopener\">crash data definitions<\/a> describe a head on crash as a crash involving two vehicles traveling in opposite directions prior to impact.<\/p>\r\n            <p>It does not include opposite direction turning collisions, angle collisions, sideswipes, single vehicle crashes, or other crash types that may sometimes be described informally as head on. The study includes TxDOT reportable crashes occurring from January 1, 2019, through December 31, 2025. CRIS results were queried on <time datetime=\"2026-09-23\">September 23, 2026<\/time>.<\/p>\r\n            <p>Crash level severity uses the most severe KABCO injury code recorded by the investigating officer. &quot;Fatal&quot; refers to crashes coded K. &quot;Fatal or serious&quot; refers to crashes coded K or A. Crash level severity should not be read as a count of people injured, diagnosed, or treated after a collision.<\/p>\r\n            <p>Where the study reports deaths or person level injuries, those figures come from the crash death counts and person records attached to the included code 30 crashes. Because crash records can be updated after annual reports are published, a CRIS query may differ slightly from TxDOT&#39;s annual Crash Facts snapshot.<\/p>\r\n            <p>The underlying crash records are public. The Texas Head On Collision Index is original in its head on specific filtering, data extraction, validation, calculations, comparisons, and editorial analysis. It is not a state issued ranking and does not claim exclusive access to TxDOT data.<\/p>\r\n            <p>The Index is a set of published measures, not a single score. Counts, shares, fatal rates, rates per 100,000 residents, and rates per 100 million vehicle miles are reported side by side, and no composite score or weighting is applied.<\/p>\r\n            <p>Every other opposite direction category is excluded, including codes 31 through 39, where one vehicle was backing, stopped, or turning. Angle crashes, same direction crashes, and single vehicle crashes are excluded as well. The distinction matters: if every opposite direction code were counted, the 2025 total would be 53,767 crashes, most of them left turns across oncoming traffic (code 34, 40,149 crashes). <span class=\"tag\">[<a href=\"#HO-096\">HO-096<\/a>]<\/span><\/p>\r\n<h3 class=\"sub\">Minimum Count Rules<\/h3>\r\n            <p>Rankings based on small numbers can change with a single crash. County rate rankings include only counties with 20 or more fatal head on crashes from 2019 through 2025, and route rate rankings include only routes with 15 or more. Share killed is not shown for groups of fewer than 30 people, and fatal rates are not shown for conditions with fewer than 30 head on crashes. No county or route is described as the most dangerous on the strength of a small count.<\/p>\r\n<h3 class=\"sub\">Important Limits<\/h3>\r\n            <p>CRIS data reflects officer reported crash records. It does not decide fault, legal liability, or the cause of an individual crash, and recorded conditions such as light, weather, and posted speed describe the setting of a crash, not its cause.<\/p>\r\n            <p>Population and vehicle mile rates are comparative measures, not predictions of any individual&#39;s crash risk. County vehicle mile rates use TxDOT&#39;s travel estimates for the roads in its county roadway inventory. Route rates use TxDOT&#39;s travel estimates for the route&#39;s main lanes and frontage roads as reflected in the roadway inventory. These rates should not be read as measures of all travel, all roads, or every possible crash exposure within a county or corridor.<\/p>\r\n<h3 class=\"sub\">How Crashes Are Assigned to Routes<\/h3>\r\n            <p>The route analysis groups crashes by the CRIS Highway Name recorded for each crash. Each crash carries one route name, so it is counted once, under one route. From 2019 through 2025, 26,324 head on crashes carried a state highway route name. The CRIS Roadway Part field places 96.3% of them on main lanes, 2.6% on frontage roads, and 0.8% on ramps or connectors; for the 2,788 fatal ones, the shares were 98.6%, 1.0%, and 0.4%. The route vehicle miles cover main lanes and frontage roads, so nearly every route crash falls within the travel its rate is measured against. <span class=\"tag\">[<a href=\"#HO-097\">HO-097<\/a>]<\/span><\/p>\r\n            <p>Where two route numbers share one road, a crash is counted under the single route CRIS recorded. Concurrent routes, ramps, interchanges, and incomplete route coding can affect route level counts and rates.<\/p>\r\n<h3 class=\"sub\">Query Specification<\/h3>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-13\"><table class=\"dtable w560\">\r\n              <caption id=\"tbl-13\" class=\"yc-sr\">Query specification: the CRIS query rules used in this study<\/caption>\r\n              <thead><tr><th scope=\"col\">Item<\/th> <th scope=\"col\">Rule used<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">Query date<\/th> <td>TxDOT CRIS public query, September 23, 2026, between 16:37 and 20:34 UTC (11:37 a.m. to 3:34 p.m. Central); CRIS disclaimer date 09\/23\/2026<\/td><\/tr>\r\n                <tr><th scope=\"row\">Unit counted<\/th> <td>Crashes (unique Crash IDs), analysis level Crash, unless a row says people<\/td><\/tr>\r\n                <tr><th scope=\"row\">Year<\/th> <td>CRIS Crash Year field, calendar years 2019 through 2025; breakdowns use 2025<\/td><\/tr>\r\n                <tr><th scope=\"row\">Reportable<\/th> <td>TxDOT Reportable Flag = true, the basis TxDOT Crash Facts uses<\/td><\/tr>\r\n                <tr><th scope=\"row\">Texas<\/th> <td>Location filter All of Texas<\/td><\/tr>\r\n                <tr><th scope=\"row\">Cities<\/th> <td>CRIS City field (crash location city), not a city limits polygon, full purpose area, or ETJ boundary<\/td><\/tr>\r\n                <tr><th scope=\"row\">Counties<\/th> <td>CRIS County field for the crash location, 2019 through 2025 pooled<\/td><\/tr>\r\n                <tr><th scope=\"row\">State highway routes<\/th> <td>CRIS Highway Name field, which names the route for crashes on the state highway system<\/td><\/tr>\r\n                <tr><th scope=\"row\">Vehicle miles<\/th> <td>TxDOT Roadway Data Tables: county total daily vehicle miles traveled for on system and off system roads (table A5) and route total daily vehicle miles traveled for main lanes and frontage roads (table G4), times the days in each year<\/td><\/tr>\r\n                <tr><th scope=\"row\">Head on<\/th> <td>Manner of Collision code 30 only; codes 31 to 39 and all angle, same direction, and single vehicle codes excluded<\/td><\/tr>\r\n                <tr><th scope=\"row\">All crashes<\/th> <td>Every Manner of Collision value, including other and unknown<\/td><\/tr>\r\n                <tr><th scope=\"row\">Severity<\/th> <td>CRIS Crash Severity, one crash level code for the most severe injury as coded by the officer: K, A, B, C, O (CRIS N), unknown; 7 crashes in 2025 carried code 95, autonomous, and count only in totals<\/td><\/tr>\r\n                <tr><th scope=\"row\">Rural<\/th> <td>CRIS Rural Flag = true: outside any city or town of 5,000 or more people<\/td><\/tr>\r\n                <tr><th scope=\"row\">State highway system<\/th> <td>CRIS On System Flag = Yes<\/td><\/tr>\r\n                <tr><th scope=\"row\">Road class<\/th> <td>CRIS Road Class field, available for every crash<\/td><\/tr>\r\n                <tr><th scope=\"row\">Road type and median<\/th> <td>CRIS Roadway Type and Median Type fields from TxDOT&#39;s roadway inventory; blank (No Data) off the inventory<\/td><\/tr>\r\n                <tr><th scope=\"row\">Alignment, light, weather, surface, speed<\/th> <td>CRIS Roadway Alignment, Light Condition, Weather Condition, Surface Condition, and Speed Limit fields as recorded on the crash report<\/td><\/tr>\r\n                <tr><th scope=\"row\">Contributing factors<\/th> <td>CRIS crash level factor list: any unit&#39;s contributing factors 1 to 3 and possible contributing factors 1 to 2<\/td><\/tr>\r\n                <tr><th scope=\"row\">Deaths<\/th> <td>CRIS Crash Death Count summed over head on crashes<\/td><\/tr>\r\n                <tr><th scope=\"row\">Raw data<\/th> <td>Every raw CRIS response, with its request, the query scripts, and the city by year dataset above are retained with this study<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n            <p>Population rates use Census Bureau Vintage 2025 July 1 population estimates. &quot;Fatal or serious&quot; refers to the combined KA category: K, fatal, and A, suspected serious injury. The fatal rate is the share of head on crashes coded K.<\/p>\r\n            <p>The study relies on aggregate public records. It does not identify people involved in any crash.<\/p>\r\n\r\n          <\/section>\r\n          <section id=\"sources\" aria-labelledby=\"sources-title\">\r\n            <h2 id=\"sources-title\">Primary Texas Sources <span class=\"accent\">Used in This Index<\/span><\/h2>\r\n            <p>Every source is a Texas agency, a Texas university, or a federal dataset filtered to Texas. Readers can review the underlying sources directly:<\/p>\r\n            <ul class=\"press-row\" role=\"list\">\r\n              <li><a href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT Crash Records Information System <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a><\/li>\r\n              <li><a href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/2025\/2025-texas-motor-vehicle-traffic-crash-facts.pdf\" target=\"_blank\" rel=\"noopener\">TxDOT 2025 Texas Motor Vehicle Traffic Crash Facts <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a><\/li>\r\n              <li><a href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/2024\/01.pdf\" target=\"_blank\" rel=\"noopener\">TxDOT Crash Facts summaries, 2019 to 2024 editions (each year is linked in the People Killed table) <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a><\/li>\r\n              <li><a href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/annual-motor-vehicle-crash-data-report-definitions.pdf\" target=\"_blank\" rel=\"noopener\">TxDOT Annual Motor Vehicle Crash Data Report Definitions <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a><\/li>\r\n              <li><a href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/2025\/2025-rural-urban-crashes-injuries-severity.pdf\" target=\"_blank\" rel=\"noopener\">TxDOT 2025 Rural and Urban Crashes and Injuries by Severity <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a><\/li>\r\n              <li><a href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/2025\/2025-crashes-injuries-cities-towns.pdf\" target=\"_blank\" rel=\"noopener\">TxDOT 2025 Crashes and Injuries by City and Town <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a><\/li>\r\n              <li><a href=\"https:\/\/ftp.dot.state.tx.us\/pub\/txdot-info\/library\/pubs\/gov\/shsp.pdf\" target=\"_blank\" rel=\"noopener\">TxDOT Texas Strategic Highway Safety Plan 2022 to 2027 <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a><\/li>\r\n              <li><a href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/highway-safety-engineering\/hsip-guidance-program.pdf\" target=\"_blank\" rel=\"noopener\">TxDOT Highway Safety Improvement Program Guidelines, 2026 <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a><\/li>\r\n              <li><a href=\"https:\/\/www.txdot.gov\/about\/programs\/highway-safety-engineering.html\" target=\"_blank\" rel=\"noopener\">TxDOT State Systemic Widening program <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a><\/li>\r\n              <li><a href=\"https:\/\/www.txdot.gov\/manuals\/des\/rdw\/chapter-4--basic-design-criteria\/4-10-cross-sectional-elements\/4-10-6-rumble-strips.html\" target=\"_blank\" rel=\"noopener\">TxDOT Roadway Design Manual, Rumble Strips <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a><\/li>\r\n              <li><a href=\"https:\/\/static.tti.tamu.edu\/tti.tamu.edu\/documents\/0-7183-R1.pdf\" target=\"_blank\" rel=\"noopener\">Texas A&amp;M Transportation Institute, Super 2 highway crash study (2025) <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a><\/li>\r\n              <li><a href=\"https:\/\/static.tti.tamu.edu\/tti.tamu.edu\/documents\/0-7119-R1.pdf\" target=\"_blank\" rel=\"noopener\">Texas A&amp;M Transportation Institute, wrong way driving detection study (2024) <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a><\/li>\r\n              <li><a href=\"https:\/\/www.dshs.texas.gov\/sites\/default\/files\/injury\/EMST-Registries\/Data\/dshs-emstr-linkedreport-sept2025.pdf\" target=\"_blank\" rel=\"noopener\">Texas Department of State Health Services, 2023 crash, EMS, and trauma linkage <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a><\/li>\r\n              <li><a href=\"https:\/\/www.dshs.texas.gov\/sites\/default\/files\/injury\/EMST-Registries\/Data\/DSHS-EMSTR-CRIS-2021-LinkedData-Sept2022.pdf\" target=\"_blank\" rel=\"noopener\">Texas Department of State Health Services, 2021 crash, EMS, and trauma linked data <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a><\/li>\r\n              <li><a href=\"https:\/\/www2.census.gov\/programs-surveys\/popest\/datasets\/2020-2025\/cities\/totals\/sub-est2025_48.csv\" target=\"_blank\" rel=\"noopener\">U.S. Census Bureau Vintage 2025 city population estimates <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a><\/li>\r\n              <li><a href=\"https:\/\/www2.census.gov\/programs-surveys\/popest\/datasets\/2020-2025\/counties\/totals\/co-est2025-alldata.csv\" target=\"_blank\" rel=\"noopener\">U.S. Census Bureau Vintage 2025 county population estimates <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a><\/li>\r\n              <li><a href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/tpp\/roadway-inventory\/2005-to-2025-roadway-data-tables.xlsx\" target=\"_blank\" rel=\"noopener\">TxDOT Roadway Data Tables, 2005 to 2025 <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a><\/li>\r\n            <\/ul>\r\n\r\n          <\/section>\r\n          <section id=\"about\" aria-labelledby=\"about-title\">\r\n            <h2 id=\"about-title\">Public Interest <span class=\"accent\">Traffic Safety Research<\/span><\/h2>\r\n            <p>The Texas Head On Collision Index was prepared by J. Alexander Law Firm as public interest traffic safety research. It relies on aggregate public records and does not identify anyone involved in a crash. It is not legal advice.<\/p>\r\n            <p><a class=\"lnk\" href=\"https:\/\/severeinjurylawyers.com\/about-us\/josh-alexander\/\">Josh Alexander<\/a>, founder and managing attorney of J. Alexander Law Firm, reviewed the index.<\/p>\r\n            <p>Related research includes <a class=\"lnk\" href=\"https:\/\/severeinjurylawyers.com\/texas-rear-end-crash-index\/\">The Texas Rear End Crash Index<\/a>, <a class=\"lnk\" href=\"https:\/\/severeinjurylawyers.com\/texas-after-school-crash-window\/\">The Texas After School Crash Window<\/a>, and <a class=\"lnk\" href=\"https:\/\/severeinjurylawyers.com\/texas-red-light-camera-study\/\">The Texas Red Light Camera Shutdown<\/a>. For legal information after a crash, see the firm&#39;s <a class=\"lnk\" href=\"https:\/\/severeinjurylawyers.com\/practice-areas\/car-accident-lawyers\/head-on-collisions\/\">Texas head on collision page<\/a>.<\/p>\r\n<p class=\"note\">This is Edition 1, published <time datetime=\"2026-09-23\">September 23, 2026<\/time>, using a TxDOT CRIS public query accessed <time datetime=\"2026-09-23\">September 23, 2026<\/time>. Planned updates include road segment hot spots within the highest rate corridors and a year by year road design series.<\/p>\r\n<p class=\"note\">For media or research inquiries, use the firm contact page.<\/p>\r\n\r\n          <\/section>\r\n        <\/div>\r\n      <\/div>\r\n    <\/div>\r\n  <\/div>\r\n\r\n  <section class=\"cta-band\" id=\"contact\" aria-labelledby=\"contact-title\">\r\n    <div class=\"wrap\">\r\n      <h2 id=\"contact-title\">Hurt in a <br><span class=\"accent\">Head On Crash?<\/span><\/h2>\r\n      <p>If a driver crossed into your lane and you or someone in your family was hurt, J. Alexander Law Firm can review the facts of your situation.<\/p>\r\n      <div class=\"ctas\">\r\n        <a href=\"https:\/\/severeinjurylawyers.com\/contact-us\/\" class=\"btn btn-primary\">Request a Free Consultation <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a>\r\n        <a href=\"tel:+14698077480\" class=\"btn btn-ghost\">(469) 807-7480<\/a>\r\n      <\/div>\r\n    <\/div>\r\n  <\/section>\r\n<\/article>\r\n<script>\r\n(function () {\r\n  var root = document.querySelector(\".jalex-study\");\r\n  if (!root) { return; }\r\n  var side = root.querySelector(\".bio-side\");\r\n  var nav = side ? side.querySelector(\"nav\") : null;\r\n  if (!nav) { return; }\r\n  var links = Array.prototype.slice.call(nav.querySelectorAll('a[href^=\"#\"]'));\r\n  if (!links.length) { return; }\r\n  var ul = nav.querySelector(\"ul\");\r\n  var reduced = window.matchMedia(\"(prefers-reduced-motion: reduce)\");\r\n  var narrow = window.matchMedia(\"(max-width: 980px)\");\r\n  var targets = [];\r\n  links.forEach(function (a) {\r\n    var el = document.getElementById(a.getAttribute(\"href\").slice(1));\r\n    if (el) { targets.push({ el: el, link: a }); }\r\n  });\r\n  if (!targets.length) { return; }\r\n  var current = null;\r\n  function centerPill(a) {\r\n    if (!narrow.matches || !ul) { return; }\r\n    var box = side.getBoundingClientRect();\r\n    if (box.bottom < 0 || box.top > window.innerHeight) { return; }\r\n    var ulRect = ul.getBoundingClientRect();\r\n    var pRect = a.getBoundingClientRect();\r\n    var delta = (pRect.left + pRect.width \/ 2) - (ulRect.left + ulRect.width \/ 2);\r\n    if (ul.scrollBy) { ul.scrollBy({ left: delta, behavior: reduced.matches ? \"auto\" : \"smooth\" }); }\r\n    else { ul.scrollLeft += delta; }\r\n  }\r\n  function setActive(item) {\r\n    if (!item || current === item) { return; }\r\n    current = item;\r\n    links.forEach(function (a) {\r\n      a.classList.remove(\"active\");\r\n      a.removeAttribute(\"aria-current\");\r\n    });\r\n    item.link.classList.add(\"active\");\r\n    item.link.setAttribute(\"aria-current\", \"true\");\r\n    centerPill(item.link);\r\n  }\r\n  var ticking = false;\r\n  function onScroll() {\r\n    if (ticking) { return; }\r\n    ticking = true;\r\n    window.requestAnimationFrame(function () {\r\n      ticking = false;\r\n      var line = window.innerHeight * 0.35;\r\n      var active = targets[0];\r\n      for (var i = 0; i < targets.length; i++) {\r\n        if (targets[i].el.getBoundingClientRect().top <= line) { active = targets[i]; }\r\n      }\r\n      setActive(active);\r\n    });\r\n  }\r\n  window.addEventListener(\"scroll\", onScroll, { passive: true });\r\n  window.addEventListener(\"resize\", onScroll, { passive: true });\r\n  links.forEach(function (a) {\r\n    a.addEventListener(\"click\", function (e) {\r\n      var el = document.getElementById(a.getAttribute(\"href\").slice(1));\r\n      if (!el) { return; }\r\n      e.preventDefault();\r\n      el.scrollIntoView({ behavior: reduced.matches ? \"auto\" : \"smooth\", block: \"start\" });\r\n      if (window.history &#038;&#038; window.history.replaceState) {\r\n        window.history.replaceState(null, \"\", a.getAttribute(\"href\"));\r\n      }\r\n    });\r\n  });\r\n  onScroll();\r\n})();\r\n<\/script>\n","protected":false},"excerpt":{"rendered":"<p>Un tipo de accidente poco com\u00fan con un n\u00famero desproporcionado de v\u00edctimas mortales. En 2025, Texas registr\u00f3 7 783 choques frontales sujetos a notificaci\u00f3n, lo que representa apenas el 1,4% de los choques sujetos a notificaci\u00f3n. Sin embargo, 432 de ellos fueron mortales, lo que representa el 12,4% de los accidentes mortales del estado\u2026<\/p>","protected":false},"author":1,"featured_media":3181,"comment_status":"open","ping_status":"open","sticky":false,"template":"page-templates\/full-width.php","format":"standard","meta":{"_seopress_titles_title":"Texas Head On Collision Index | 2019 to 2025 Crash Data","_seopress_titles_desc":"Head on crashes were 1.4% of reportable Texas crashes in 2025 but 12.4% of fatal crashes. 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