{"id":5932,"date":"2026-09-25T03:20:18","date_gmt":"2026-09-25T03:20:18","guid":{"rendered":"https:\/\/severeinjurylawyers.com\/?p=5932"},"modified":"2026-09-25T03:20:18","modified_gmt":"2026-09-25T03:20:18","slug":"indice-de-accidentes-de-texas-t-bone","status":"publish","type":"post","link":"https:\/\/severeinjurylawyers.com\/es\/texas-t-bone-crash-index\/","title":{"rendered":"\u00cdndice de accidentes de tipo \u201cT-bone\u201d en 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-t-bone-crash-index\/#webpage\",\r\n      \"url\": \"https:\/\/severeinjurylawyers.com\/texas-t-bone-crash-index\/\",\r\n      \"name\": \"Texas T Bone Crash Statistics | 2025 Data for 12 Cities\",\r\n      \"description\": \"Texas had 68,556 T bone crashes in 2025, with 2,572 people killed or seriously injured. 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transition: color 180ms ease;\r\n}\r\n.jalex-study .bio-side li a .t{ min-width: 0; }\r\n.jalex-study .bio-side li a:hover .n,.jalex-study .bio-side li a.active .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 .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 .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\/09\/texas-t-bone-crash-index-featured.webp\") center 45% \/ 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 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; overscroll-behavior: auto;\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; overflow-y: hidden; padding: 8px 16px; overscroll-behavior-x: contain; overscroll-behavior-y: auto; touch-action: pan-x pan-y;\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 .meta-stack{ grid-template-columns: 1fr; }\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 .bio-content h3.sub[id]{ scroll-margin-top: 150px; }\r\n.jalex-study .bio-content p.more{ font-family: var(--mono); font-size: .72rem; letter-spacing: .06em; margin: .8rem 0 0; }\r\n.jalex-study .bio-content p.more + p{ margin-top: 1.6rem; }\r\n.jalex-study .twocol{ display: grid; grid-template-columns: 1fr 1fr; gap: 1px; background: var(--rule-2); border: 1px solid var(--rule-2); border-radius: 8px; overflow: hidden; margin: 1.4rem 0; }\r\n.jalex-study .twocol .tc-col{ background: var(--bg-2); padding: 1.1rem 1.2rem 1.2rem; }\r\n.jalex-study .bio-content .twocol p.tc-h{ font-family: var(--mono); font-size: .68rem; letter-spacing: .14em; text-transform: uppercase; color: var(--gold); font-weight: 700; margin: 0 0 .4rem; }\r\n.jalex-study .twocol ul.bars{ margin: .6rem 0 0; }\r\n@media (max-width: 720px){\r\n.jalex-study .twocol{ grid-template-columns: 1fr; }\r\n}\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; }\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; line-height: 1.5; }\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 thead,.jalex-study .hb-table tbody{ display: flex; flex-direction: column; gap: .55rem; }\r\n.jalex-study .hb-table thead{ margin-bottom: .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 thead th{ font-family: var(--mono); font-size: .6rem; letter-spacing: .12em; text-transform: uppercase; color: var(--muted); font-weight: 400; }\r\n.jalex-study .hb-table thead th + th{ text-align: right; }\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) 96px; 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,.jalex-study .hb-gold th{ color: var(--gold) !important; }\r\n.jalex-study .bio-content p.hb-note{ font-family: var(--mono); font-size: .64rem; letter-spacing: .04em; color: var(--muted); margin: .9rem 0 0; 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 .ledger-wrap{ overflow-x: auto; margin: 1.2rem 0; container-type: inline-size; }\r\n.jalex-study .dtable{ width: 100%; border-collapse: collapse; font-size: .86rem; line-height: 1.45; }\r\n.jalex-study .dtable caption{ caption-side: top; text-align: left; font-family: var(--mono); font-size: .68rem; letter-spacing: .14em; text-transform: uppercase; color: var(--muted); padding: 0 .7rem .6rem; position: sticky; left: 0; max-width: 100cqw; box-sizing: border-box; }\r\n.jalex-study .dtable th{ text-align: left; font-family: var(--mono); font-size: .66rem; letter-spacing: .14em; text-transform: uppercase; color: var(--gold); font-weight: 700; padding: .55rem .7rem; border-bottom: 1px solid var(--rule-2); }\r\n.jalex-study .dtable td{ padding: .5rem .7rem; border-bottom: 1px solid var(--rule-2); color: var(--text-2); vertical-align: top; }\r\n.jalex-study .dtable td.g,.jalex-study .dtable th.g{ color: var(--gold); font-weight: 700; }\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 .dtable.w520{ min-width: 520px; }\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 .dtable.w760{ min-width: 760px; }\r\n.jalex-study .dtable.w880{ min-width: 880px; }\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 .ledger tbody th,.jalex-study .ledger td:nth-child(6){ font-family: var(--mono); font-size: .72rem; color: var(--muted); 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: auto; max-height: 20rem; font-family: var(--mono); font-size: .66rem; line-height: 1.55; color: var(--text-2); border-top: 1px solid var(--rule-2); padding-top: .6rem; }\r\n.jalex-study .data-pre:focus-visible{ outline: 2px solid var(--gold); outline-offset: 2px; }\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 .dl-csv{ margin: 1rem 0 0; }\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.jalex-study p.hero-lede{ order: 2; font-family: var(--heading); font-weight: 600; font-size: clamp(17px,1.7vw,21px); line-height: 1.45; color: var(--text-2); margin: 0 0 14px; letter-spacing: -0.01em; max-width: 560px; }\r\n.jalex-study p.hero-sub{ order: 2; font-size: 15px; line-height: 1.6; color: var(--text-2); margin: 0 0 26px; max-width: 560px; }\r\n.jalex-study .bio-hero-photo.stat-photo{ aspect-ratio: auto; min-height: 440px; display: flex; }\r\n.jalex-study .stat-panel{ position: relative; z-index: 1; display: flex; flex-direction: column; justify-content: center; gap: 1rem; padding: 2.4rem; width: 100%; }\r\n.jalex-study .stat-k{ font-family: var(--mono); font-size: 10.5px; letter-spacing: .2em; text-transform: uppercase; color: var(--muted); font-weight: 600; }\r\n.jalex-study .stat-big{ font-family: var(--serif); font-style: italic; font-size: clamp(2.6rem,4.5vw,3.6rem); line-height: 1; color: var(--gold); }\r\n.jalex-study .stat-cap{ color: var(--text-2); font-size: .9rem; line-height: 1.5; }\r\n.jalex-study ul.stat-list{ display: flex; flex-direction: column; gap: .65rem; margin: .4rem 0 0; padding: 0; list-style: none; text-align: left; }\r\n.jalex-study ul.stat-list li{ display: flex; gap: .7rem; align-items: baseline; border-top: 1px solid var(--rule-2); padding-top: .65rem; margin: 0; }\r\n.jalex-study .stat-list .sn{ font-family: var(--heading); font-weight: 800; color: var(--text); min-width: 4.4rem; }\r\n.jalex-study .stat-list .sn.g{ color: var(--gold); }\r\n.jalex-study .stat-list .st{ color: var(--text-2); font-size: .88rem; }\r\n@media print{\r\n.jalex-study .hb-fill,.jalex-study ul.bars .rule{ background: #000 !important; }\r\n.jalex-study .hb-track{ background: #e6e6e6 !important; }\r\n.jalex-study .bio-content p.callout{ border: 1pt solid #000 !important; break-inside: avoid; }\r\n}\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 .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 .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        <h1 id=\"hero-title\">\r\n          <span class=\"first\">Texas T Bone<\/span>\r\n          <span class=\"last\">Crash Index<\/span>\r\n        <\/h1>\r\n        <p class=\"hero-lede\">Texas recorded 68,556 T bone crashes in 2025, the most recent complete calendar year analyzed. These side impact collisions occurred about half as often as rear end crashes, but their serious crash rate was 1.8 times the rear end rate under the same TxDOT query rules.<\/p>\r\n        <p class=\"hero-sub\">A T bone crash happens when the front of one vehicle hits the side of another. TxDOT calls the closest matching group &quot;Angle, both going straight,&quot; and that is the crash pattern counted in this index.<\/p>\r\n        <div class=\"role\">\r\n          <span class=\"pill\">Original Data Study<\/span>\r\n          <span>Texas &middot; 12 cities &middot; TxDOT crash records, 2019 to 2025<\/span>\r\n        <\/div>\r\n        <dl class=\"meta-stack\">\r\n          <div class=\"cell\">\r\n            <dt class=\"k\">T bone crashes in 2025<\/dt>\r\n            <dd class=\"v gold\">68,556<\/dd>\r\n          <\/div>\r\n          <div class=\"cell\">\r\n            <dt class=\"k\">Share of all reported Texas crashes<\/dt>\r\n            <dd class=\"v\">12.7%<\/dd>\r\n          <\/div>\r\n          <div class=\"cell\">\r\n            <dt class=\"k\">Serious crashes for every 1,000 T bone crashes<\/dt>\r\n            <dd class=\"v\">30.3<\/dd>\r\n          <\/div>\r\n          <div class=\"cell\">\r\n            <dt class=\"k\">Compared with rear end crashes<\/dt>\r\n            <dd class=\"v\">1.8 times the serious crash rate<\/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\">2,572<\/div>\r\n          <p class=\"stat-cap\">people killed or seriously injured in T bone crashes in 2025.<\/p>\r\n          <ul role=\"list\" class=\"stat-list\">\r\n            <li><span class=\"sn g\">277<\/span> <span class=\"st\">people died<\/span><\/li>\r\n            <li><span class=\"sn\">2,295<\/span> <span class=\"st\">people were reported with suspected serious injuries<\/span><\/li>\r\n            <li><span class=\"sn\">255<\/span> <span class=\"st\">T bone crashes were fatal<\/span><\/li>\r\n            <li><span class=\"sn\">2,076<\/span> <span class=\"st\">T bone crashes involved a death or suspected serious injury<\/span><\/li>\r\n          <\/ul>\r\n          <p class=\"stat-cap\">One crash can injure more than one person, so the people total is higher than the number of serious crashes.<\/p>\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 Crash Records<\/span><span class=\"dot\">&middot;<\/span><span>2025 Data<\/span><span class=\"dot\">&middot;<\/span><span>Texas and 12 Cities<\/span><span class=\"dot\">&middot;<\/span><span>Census Vintage 2025<\/span><span class=\"dot\">&middot;<\/span><span>Public Records Only<\/span><span class=\"dot\">&middot;<\/span>\r\n      <\/div>\r\n      <div class=\"item\">\r\n        <span>&#9733;<\/span>\r\n        <span>TxDOT Crash Records<\/span><span class=\"dot\">&middot;<\/span><span>2025 Data<\/span><span class=\"dot\">&middot;<\/span><span>Texas and 12 Cities<\/span><span class=\"dot\">&middot;<\/span><span>Census Vintage 2025<\/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=\"#counts\"><span class=\"n\" aria-hidden=\"true\">01<\/span> <span class=\"t\">What This Study Counts<\/span><\/a><\/li>\r\n            <li><a href=\"#often\"><span class=\"n\" aria-hidden=\"true\">02<\/span> <span class=\"t\">How Often T Bone Crashes Happen<\/span><\/a><\/li>\r\n            <li><a href=\"#severity\"><span class=\"n\" aria-hidden=\"true\">03<\/span> <span class=\"t\">How Severe They Are<\/span><\/a><\/li>\r\n            <li><a href=\"#damage\"><span class=\"n\" aria-hidden=\"true\">04<\/span> <span class=\"t\">What Vehicle Damage Shows<\/span><\/a><\/li>\r\n            <li><a href=\"#cities\"><span class=\"n\" aria-hidden=\"true\">05<\/span> <span class=\"t\">T Bone Crashes in 12 Cities<\/span><\/a><\/li>\r\n            <li><a href=\"#where\"><span class=\"n\" aria-hidden=\"true\">06<\/span> <span class=\"t\">Where and When They Happen<\/span><\/a><\/li>\r\n            <li><a href=\"#tables\"><span class=\"n\" aria-hidden=\"true\">07<\/span> <span class=\"t\">Full Data Tables<\/span><\/a><\/li>\r\n            <li><a href=\"#method\"><span class=\"n\" aria-hidden=\"true\">08<\/span> <span class=\"t\">How We Counted Them<\/span><\/a><\/li>\r\n            <li><a href=\"#data\"><span class=\"n\" aria-hidden=\"true\">09<\/span> <span class=\"t\">Download Data and Sources<\/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\/practice-areas\/car-accident-lawyers\/t-bone-accidents\/\">T Bone Accident Lawyers <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a><\/li>\r\n              <li><a href=\"https:\/\/severeinjurylawyers.com\/practice-areas\/car-accident-lawyers\/t-bone-accidents\/san-antonio\/\">San Antonio T Bone Accident Lawyers <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a><\/li>\r\n              <li><a href=\"https:\/\/severeinjurylawyers.com\/results\/850k-pasadena-red-light-crash-settlement\/\">$850,000 Pasadena Red Light Crash Settlement <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a><\/li>\r\n              <li><a href=\"https:\/\/severeinjurylawyers.com\/texas-rear-end-crash-index\/\">Texas Rear End Crash Index <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a><\/li>\r\n              <li><a href=\"https:\/\/severeinjurylawyers.com\/texas-head-on-collision-index\/\">Texas Head On Collision Index <span class=\"arr\" aria-hidden=\"true\"><\/span><\/a><\/li>\r\n              <li><a href=\"https:\/\/severeinjurylawyers.com\/texas-red-light-camera-study\/\">Texas Red Light Camera Study <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=\"counts\" aria-labelledby=\"counts-title\">\r\n            <h2 id=\"counts-title\">What This <span class=\"accent\">Study Counts<\/span><\/h2>\r\n            <p>A T bone crash happens when one vehicle&#39;s front end hits the side of another vehicle. The name comes from the &quot;T&quot; shape the vehicles can form at impact.<\/p>\r\n            <p>TxDOT does not use the phrase &quot;T bone&quot; in its crash database. Instead, it classifies crashes by how the vehicles were moving before the impact. This index counts the group TxDOT calls <strong>&quot;Angle, both going straight,&quot;<\/strong> the closest match for two vehicles traveling straight on crossing paths.<\/p>\r\n            <p>Keeping the definition narrow matters. A crash involving a left turn, a stopped vehicle or a vehicle backing up may also involve side damage, but it is a different kind of event. Combining all of those crashes would mix different traffic movements, roadway settings and risk patterns, and make the results less useful.<\/p>\r\n            <p>The study includes the TxDOT category that most closely matches a straight through side impact crash: two vehicles going straight on crossing paths. The crash types it leaves out are listed separately below, because each deserves its own analysis.<\/p>\r\n<div class=\"twocol\"><div class=\"tc-col\"><p class=\"tc-h\">We count<\/p>\r\n<ul class=\"bars\" role=\"list\">\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>Two vehicles traveling straight on crossing paths<\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>Crashes TxDOT classifies as &quot;Angle, both going straight&quot;<\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>Texas crashes reported to TxDOT from 2019 through September 24, 2026<\/span><\/li>\r\n<\/ul><\/div><div class=\"tc-col\"><p class=\"tc-h\">We do not count<\/p>\r\n<ul class=\"bars\" role=\"list\">\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>Head on crashes<\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>Rear end crashes<\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>Sideswipe crashes<\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>Single vehicle crashes<\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>Crashes involving a left turn across oncoming traffic<\/span><\/li>\r\n<\/ul><\/div><\/div>\r\n<p class=\"note\">The full data tables include a comparison with all angle crashes for readers who want to see those other patterns. The main findings throughout this page, however, use the narrower T bone definition above.<\/p>\r\n\r\n          <\/section>\r\n          <section id=\"often\" aria-labelledby=\"often-title\">\r\n            <h2 id=\"often-title\">How Often T Bone <span class=\"accent\">Crashes Happen<\/span><\/h2>\r\n            <p>T bone crashes are not rare in Texas. In 2025, TxDOT recorded <strong>68,556<\/strong>, or 12.7% of the 539,112 reported crashes statewide, about one in eight. <span class=\"tag\">[<a href=\"#TB-001\">TB-001<\/a>, <a href=\"#TB-002\">TB-002<\/a>, <a href=\"#TB-003\">TB-003<\/a>]<\/span><\/p>\r\n            <p>The yearly count has been remarkably stable. Except for the sharp decline in 2020, when traffic patterns changed during the pandemic, Texas recorded between about 70,900 and 72,600 T bone crashes each year from 2019 through 2024. That consistency shows this is not a short term spike or an unusual year. It is a recurring part of Texas&#39;s crash picture. <span class=\"tag\">[<a href=\"#TB-004\">TB-004<\/a>, <a href=\"#TB-005\">TB-005<\/a>, <a href=\"#TB-006\">TB-006<\/a>]<\/span><\/p>\r\n            <p>The count fell to 68,556 in 2025, 4.9% fewer than in 2024. Even with that decline, T bone crashes still accounted for 12.7% of all reported Texas crashes in 2025, almost the same share seen throughout the study period. <span class=\"tag\">[<a href=\"#TB-007\">TB-007<\/a>, <a href=\"#TB-008\">TB-008<\/a>, <a href=\"#TB-003\">TB-003<\/a>]<\/span><\/p>\r\n            <p>The serious outcome trend tells a different story. Crashes involving a death or suspected serious injury rose from 1,910 in 2019 to a high of 2,320 in 2021. The total declined each year after 2021, reaching 2,076 in 2025. Even so, the 2025 figure remained 8.7% above the 2019 level, while the overall T bone crash count was 5.5% lower. <span class=\"tag\">[<a href=\"#TB-009\">TB-009<\/a>, <a href=\"#TB-010\">TB-010<\/a>, <a href=\"#TB-011\">TB-011<\/a>, <a href=\"#TB-012\">TB-012<\/a>, <a href=\"#TB-013\">TB-013<\/a>]<\/span><\/p>\r\n<p class=\"note\">The 2025 count may change as late and corrected reports are processed.<\/p>\r\n            <p>The chart below shows both the number of T bone crashes and their share of all reported Texas crashes. The share stays close to 13% in every year, even as overall traffic conditions changed.<\/p>\r\n<figure class=\"hb-fig\">\r\n<figcaption>T bone crashes in Texas, 2019 to 2025<\/figcaption>\r\n<table class=\"hb-table\">\r\n<thead><tr><th scope=\"col\">Year<\/th> <th scope=\"col\">Crashes and share of all crashes<\/th><\/tr><\/thead>\r\n<tbody>\r\n<tr><th scope=\"row\">2019<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:100.0%\"><\/span><\/span> <span class=\"hb-num\">72,551 &middot; 12.9%<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">2020<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:85.0%\"><\/span><\/span> <span class=\"hb-num\">61,696 &middot; 13.0%<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">2021<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:97.7%\"><\/span><\/span> <span class=\"hb-num\">70,869 &middot; 12.8%<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">2022<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:99.4%\"><\/span><\/span> <span class=\"hb-num\">72,139 &middot; 13.0%<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">2023<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:98.7%\"><\/span><\/span> <span class=\"hb-num\">71,612 &middot; 12.8%<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">2024<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:99.3%\"><\/span><\/span> <span class=\"hb-num\">72,062 &middot; 13.0%<\/span><\/td><\/tr>\r\n<tr class=\"hb-gold\"><th scope=\"row\">2025<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:94.5%\"><\/span><\/span> <span class=\"hb-num\">68,556 &middot; 12.7%<\/span><\/td><\/tr>\r\n<\/tbody><\/table>\r\n<p class=\"hb-note\">Texas crashes classified as &quot;Angle, both going straight.&quot; Figures are based on reported crashes in TxDOT&#39;s Crash Records Information System (CRIS).<\/p><\/figure>\r\n<p class=\"callout\"><strong>2026 update: 2026 year to date through September 24; preliminary and incomplete.<\/strong> TxDOT&#39;s database showed 48,272 T bone crashes in 2026 as of September 24, 2026, 12.9% of the 374,749 crashes reported so far. That count will rise as agencies submit late reports and TxDOT processes corrections, so it should not be compared with full year totals. <span class=\"tag\">[<a href=\"#TB-014\">TB-014<\/a>, <a href=\"#TB-015\">TB-015<\/a>, <a href=\"#TB-016\">TB-016<\/a>]<\/span><\/p>\r\n<p class=\"more\"><a class=\"lnk\" href=\"#t-years\">Crash counts by year, 2026 year to date, and people killed or seriously injured<\/a><\/p>\r\n            <p>Frequency alone does not tell the full story. To understand why T bone crashes matter, it helps to compare their outcomes with the rear end collision, the most common type of crash in Texas records.<\/p>\r\n\r\n          <\/section>\r\n          <section id=\"severity\" aria-labelledby=\"severity-title\">\r\n            <h2 id=\"severity-title\">T Bone Crashes Are More Severe <span class=\"accent\">Than Rear End Crashes<\/span><\/h2>\r\n            <p>Rear end crashes were nearly twice as common as T bone crashes in 2025. Texas recorded 136,250 rear end crashes, compared with 68,556 T bone crashes. <span class=\"tag\">[<a href=\"#TB-017\">TB-017<\/a>, <a href=\"#TB-018\">TB-018<\/a>]<\/span><\/p>\r\n            <p>But the outcome was different. A T bone crash was much more likely to involve a death or suspected serious injury. In this study, a <strong>serious crash<\/strong> means that TxDOT coded the crash as fatal or involving a suspected serious injury.<\/p>\r\n            <p>The table puts frequency and severity side by side. Rear end crashes produced more serious crashes in total because they happened almost twice as often. But T bone crashes were more likely to produce a serious outcome when measured crash for crash.<\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-1\"><table class=\"dtable w520\">\r\n              <caption id=\"tbl-1\">Rear end and T bone crashes, Texas, 2025<\/caption>\r\n              <thead><tr><th scope=\"col\">2025<\/th> <th scope=\"col\">Rear end crashes<\/th> <th scope=\"col\">T bone crashes<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">Total crashes<\/th> <td>136,250<\/td> <td class=\"g\">68,556<\/td><\/tr>\r\n                <tr><th scope=\"row\">Serious crashes<\/th> <td>2,351<\/td> <td class=\"g\">2,076<\/td><\/tr>\r\n                <tr><th scope=\"row\">Serious crashes for every 1,000 crashes<\/th> <td>17.3<\/td> <td class=\"g\">30.3<\/td><\/tr>\r\n                <tr><th scope=\"row\">Fatal crashes<\/th> <td>297<\/td> <td class=\"g\">255<\/td><\/tr>\r\n                <tr><th scope=\"row\">Fatal crashes for every 1,000 crashes<\/th> <td>2.18<\/td> <td class=\"g\">3.72<\/td><\/tr>\r\n                <tr><th scope=\"row\">People killed or seriously injured<\/th> <td>2,813<\/td> <td class=\"g\">2,572<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n<p class=\"callout\">Takeaway: rear end crashes were more common, but T bone crashes were more likely to involve a death or suspected serious injury.<\/p>\r\n            <p>For every 1,000 rear end crashes, 17.3 involved a death or suspected serious injury. For every 1,000 T bone crashes, that number was <strong>30.3<\/strong>. <span class=\"tag\">[<a href=\"#TB-019\">TB-019<\/a>, <a href=\"#TB-020\">TB-020<\/a>, <a href=\"#TB-021\">TB-021<\/a>]<\/span><\/p>\r\n            <p>Put another way, if Texas had 1,000 crashes of each type, the T bone group would produce about 13 more crashes involving a death or suspected serious injury. The serious crash rate for T bone collisions was 1.8 times the rear end rate. <span class=\"tag\">[<a href=\"#TB-022\">TB-022<\/a>, <a href=\"#TB-023\">TB-023<\/a>]<\/span><\/p>\r\n            <p>This was not a result from a single year. The same pattern appeared every year from 2019 through 2025: rear end crashes occurred more often, but the T bone group consistently produced more serious outcomes relative to its size.<\/p>\r\n            <p>Crash counts also understate the human impact. In 2025, T bone crashes were linked to 277 deaths and 2,295 people reported with suspected serious injuries, 2,572 people killed or seriously injured in all. <span class=\"tag\">[<a href=\"#TB-024\">TB-024<\/a>, <a href=\"#TB-025\">TB-025<\/a>, <a href=\"#TB-026\">TB-026<\/a>]<\/span><\/p>\r\n            <p>These are person counts, not crash counts. A single collision can involve several people, which is why the number of people harmed can exceed the number of serious crashes.<\/p>\r\n            <p>T bone crashes were not the most severe crash pattern in the state. Their serious crash rate was below the average for all reported crashes statewide, 33.2 for every 1,000. Even so, they were substantially more severe than rear end crashes, which makes the comparison important for drivers, safety planners and anyone trying to understand Texas crash risk. <span class=\"tag\">[<a href=\"#TB-027\">TB-027<\/a>]<\/span><\/p>\r\n<p class=\"note\">TxDOT assigns severity from information available in the crash report. A fatal crash involves a death within 30 days. A suspected serious injury reflects the investigating officer&#39;s assessment at the time of the report. It is not a final medical diagnosis or a legal finding.<\/p>\r\n<p class=\"more\"><a class=\"lnk\" href=\"#t-severity\">Full severity results, including all angle crashes<\/a><\/p>\r\n\r\n          <\/section>\r\n          <section id=\"damage\" aria-labelledby=\"damage-title\">\r\n            <h2 id=\"damage-title\">What Vehicle <span class=\"accent\">Damage Shows<\/span><\/h2>\r\n            <p>Crash records identify the area of each vehicle that received the most severe reported damage. In 2025, a damage rating was available for 96.3% of vehicles involved in the T bone group. <span class=\"tag\">[<a href=\"#TB-028\">TB-028<\/a>]<\/span><\/p>\r\n            <p>The recorded damage pattern is consistent with front to side contact. Front end damage was the most common pattern, appearing on 53.4% of rated vehicles. Side damage appeared on 38.5%. <span class=\"tag\">[<a href=\"#TB-029\">TB-029<\/a>, <a href=\"#TB-030\">TB-030<\/a>]<\/span><\/p>\r\n            <p>Rear end crashes showed a different pattern: 49.4% of rated vehicles had back end damage, while 4.1% had angular side damage. The contrast helps explain why rear end and T bone crashes are analyzed as separate collision types. <span class=\"tag\">[<a href=\"#TB-031\">TB-031<\/a>, <a href=\"#TB-032\">TB-032<\/a>]<\/span><\/p>\r\n            <p>These percentages describe vehicles with a recorded damage rating. They do not identify which driver caused the crash, which vehicle struck first, or which occupant was injured.<\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-2\"><table class=\"dtable w520\">\r\n              <caption id=\"tbl-2\">Most severe recorded damage area on vehicles, Texas, 2025<\/caption>\r\n              <thead><tr><th scope=\"col\">Most severe recorded damage area<\/th> <th scope=\"col\">Vehicles in T bone crashes<\/th> <th scope=\"col\">Vehicles in rear end crashes<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">Front end<\/th> <td class=\"g\">53.4%<\/td> <td>45.0%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Side damage<\/th> <td class=\"g\">38.5%<\/td> <td>4.1%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Back end<\/th> <td class=\"g\">1.9%<\/td> <td>49.4%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Side damage near the passenger compartment (part of side damage)<\/th> <td class=\"g\">15.5%<\/td> <td>0.5%<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n<p class=\"note\">These figures count vehicles, not crashes. The damage entry and the crash classification come from the same report, so the table describes the patterns recorded by investigators. It does not independently test whether TxDOT classified every crash correctly.<\/p>\r\n<p class=\"more\"><a class=\"lnk\" href=\"#t-damage\">Damage codes, direction of force and damage records by year<\/a><\/p>\r\n            <p>Texas is large, and traffic conditions vary sharply from one city to another. The next section compares the same T bone crash definition across 12 Texas cities.<\/p>\r\n\r\n          <\/section>\r\n          <section id=\"cities\" aria-labelledby=\"cities-title\">\r\n            <h2 id=\"cities-title\">T Bone Crashes in <span class=\"accent\">12 Texas Cities<\/span><\/h2>\r\n            <p>A raw crash count favors large cities because more people live, work and drive there. To make the city comparison more useful, this index also shows the number of T bone crashes for every 100,000 residents.<\/p>\r\n            <p>The same 12 cities and population method are used in the <a class=\"lnk\" href=\"https:\/\/severeinjurylawyers.com\/texas-rear-end-crash-index\/\">Texas Rear End Crash Index<\/a>. That keeps the two studies comparable and keeps the city list from changing from one crash type to another. <span class=\"tag\">[<a href=\"#TB-033\">TB-033<\/a>]<\/span><\/p>\r\n            <p>Houston recorded 10,021 T bone crashes in 2025 and Odessa recorded 571, yet Odessa had the higher rate for its population. That is why the table shows both the count and the rate. <span class=\"tag\">[<a href=\"#TB-034\">TB-034<\/a>, <a href=\"#TB-035\">TB-035<\/a>]<\/span><\/p>\r\n            <p>Among the 12 cities studied, Odessa had the highest 2025 rate at 465.3 crashes per 100,000 residents. Houston was second at 418.0. Austin had the lowest rate at 152.5. Statewide, Texas recorded 216.2 T bone crashes for every 100,000 residents. <span class=\"tag\">[<a href=\"#TB-036\">TB-036<\/a>, <a href=\"#TB-037\">TB-037<\/a>, <a href=\"#TB-038\">TB-038<\/a>, <a href=\"#TB-039\">TB-039<\/a>]<\/span><\/p>\r\n            <p>The table is sorted by crashes per 100,000 residents, not by total crash count. A higher rate means more reported T bone crashes relative to the city&#39;s population. It does not mean that a resident has a known individual probability of being in a crash.<\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-3\"><table class=\"dtable w520\">\r\n              <caption id=\"tbl-3\">T bone crashes in 12 Texas cities, 2025 (highest rate first)<\/caption>\r\n              <thead><tr><th scope=\"col\">City<\/th> <th scope=\"col\">T bone crashes<\/th> <th scope=\"col\">Share of reported crashes<\/th> <th scope=\"col\">Crashes per 100,000 residents<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">Odessa<\/th> <td>571<\/td> <td>16.2%<\/td> <td class=\"g\">465.3<\/td><\/tr>\r\n                <tr><th scope=\"row\">Houston<\/th> <td>10,021<\/td> <td>16.6%<\/td> <td class=\"g\">418.0<\/td><\/tr>\r\n                <tr><th scope=\"row\">Midland<\/th> <td>506<\/td> <td>19.1%<\/td> <td class=\"g\">342.8<\/td><\/tr>\r\n                <tr><th scope=\"row\">Laredo<\/th> <td>900<\/td> <td>15.0%<\/td> <td class=\"g\">333.9<\/td><\/tr>\r\n                <tr><th scope=\"row\">Lubbock<\/th> <td>824<\/td> <td>16.1%<\/td> <td class=\"g\">301.8<\/td><\/tr>\r\n                <tr><th scope=\"row\">El Paso<\/th> <td>1,850<\/td> <td>12.6%<\/td> <td class=\"g\">270.9<\/td><\/tr>\r\n                <tr><th scope=\"row\">McAllen<\/th> <td>397<\/td> <td>14.2%<\/td> <td class=\"g\">263.5<\/td><\/tr>\r\n                <tr><th scope=\"row\">Dallas<\/th> <td>3,338<\/td> <td>13.5%<\/td> <td class=\"g\">251.1<\/td><\/tr>\r\n                <tr><th scope=\"row\">San Antonio<\/th> <td>3,878<\/td> <td>10.4%<\/td> <td class=\"g\">250.4<\/td><\/tr>\r\n                <tr><th scope=\"row\">Corpus Christi<\/th> <td>759<\/td> <td>10.5%<\/td> <td class=\"g\">239.2<\/td><\/tr>\r\n                <tr><th scope=\"row\">Fort Worth<\/th> <td>2,284<\/td> <td>14.6%<\/td> <td class=\"g\">222.2<\/td><\/tr>\r\n                <tr><th scope=\"row\">Austin<\/th> <td>1,529<\/td> <td>13.7%<\/td> <td class=\"g\">152.5<\/td><\/tr>\r\n                <tr><th scope=\"row\">Texas statewide<\/th> <td>68,556<\/td> <td>12.7%<\/td> <td class=\"g\">216.2<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n<p class=\"tag-list\">Rates in this table: [<a href=\"#TB-036\">TB-036<\/a>, <a href=\"#TB-037\">TB-037<\/a>, <a href=\"#TB-040\">TB-040<\/a>, <a href=\"#TB-041\">TB-041<\/a>, <a href=\"#TB-042\">TB-042<\/a>, <a href=\"#TB-043\">TB-043<\/a>, <a href=\"#TB-044\">TB-044<\/a>, <a href=\"#TB-045\">TB-045<\/a>, <a href=\"#TB-046\">TB-046<\/a>, <a href=\"#TB-047\">TB-047<\/a>, <a href=\"#TB-048\">TB-048<\/a>, <a href=\"#TB-038\">TB-038<\/a>, <a href=\"#TB-039\">TB-039<\/a>]<\/p>\r\n            <p>City boundaries affect the comparison. In 2025, 12,285 T bone crashes occurred outside city limits. They are included in the statewide figure but cannot be assigned to one of the 12 city rows. <span class=\"tag\">[<a href=\"#TB-049\">TB-049<\/a>]<\/span><\/p>\r\n<p class=\"note\">A city may have a high rate because more traffic moves through it, not necessarily because its residents face a higher personal risk. Population rates make cities of different sizes easier to compare, but they are not a complete measure of road danger. These rates use each city&#39;s July 1, 2025 population and do not account for traffic volume, road mileage, commuter travel, intersection density, or differences in local reporting.<\/p>\r\n<p class=\"more\"><a class=\"lnk\" href=\"#t-cities\">Serious crashes by city, and 2026 year to date by city<\/a><\/p>\r\n            <p>The city comparison shows where these crashes were reported. The next section looks more closely at the settings and conditions recorded in the crash reports themselves.<\/p>\r\n\r\n          <\/section>\r\n          <section id=\"where\" aria-labelledby=\"where-title\">\r\n            <h2 id=\"where-title\">Where and When T Bone <span class=\"accent\">Crashes Happen<\/span><\/h2>\r\n<h3 class=\"sub\">At Intersections<\/h3>\r\n            <p>T bone crashes are concentrated where traffic paths cross. In 2025, 84.1% occurred at an intersection, compared with 24.5% of all reported Texas crashes. <span class=\"tag\">[<a href=\"#TB-050\">TB-050<\/a>, <a href=\"#TB-051\">TB-051<\/a>]<\/span><\/p>\r\n            <p>That difference does not show that every intersection is unsafe. It shows that the defined T bone pattern is closely tied to places where drivers must cross, enter, stop, yield or proceed through another traffic stream.<\/p>\r\n            <p>Stop signs and flashing red lights, which both require drivers to stop, were the most common traffic control recorded at these crash locations, followed by traffic signals. Traffic control type identifies what was present at the crash location. It does not identify who had the right of way or whether a driver followed the control. <span class=\"tag\">[<a href=\"#TB-052\">TB-052<\/a>, <a href=\"#TB-053\">TB-053<\/a>]<\/span><\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-4\"><table class=\"dtable w520\">\r\n              <caption id=\"tbl-4\">T bone crashes by traffic control, Texas, 2025<\/caption>\r\n              <thead><tr><th scope=\"col\">Traffic control<\/th> <th scope=\"col\">T bone crashes<\/th> <th scope=\"col\">Share<\/th> <th scope=\"col\">Serious crashes for every 1,000 crashes<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">Stop sign or flashing red light<\/th> <td>29,517<\/td> <td class=\"g\">43.1%<\/td> <td>32.4<\/td><\/tr>\r\n                <tr><th scope=\"row\">Traffic signal<\/th> <td>18,942<\/td> <td class=\"g\">27.6%<\/td> <td>34.7<\/td><\/tr>\r\n                <tr><th scope=\"row\">Marked lanes only<\/th> <td>12,430<\/td> <td class=\"g\">18.1%<\/td> <td>21.8<\/td><\/tr>\r\n                <tr><th scope=\"row\">No traffic control<\/th> <td>2,963<\/td> <td class=\"g\">4.3%<\/td> <td>20.9<\/td><\/tr>\r\n                <tr><th scope=\"row\">Other or not recorded<\/th> <td>4,704<\/td> <td class=\"g\">6.9%<\/td> <td>27.2<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n<p class=\"tag-list\">Shares in this table: [<a href=\"#TB-052\">TB-052<\/a>, <a href=\"#TB-053\">TB-053<\/a>, <a href=\"#TB-054\">TB-054<\/a>, <a href=\"#TB-055\">TB-055<\/a>, <a href=\"#TB-056\">TB-056<\/a>]<\/p>\r\n<p class=\"note\">Flashing red lights are counted with stop signs. Under <a class=\"lnk\" href=\"https:\/\/statutes.capitol.texas.gov\/Docs\/TN\/htm\/TN.544.htm#544.008\" target=\"_blank\" rel=\"noopener\">Texas Transportation Code section 544.008<\/a>, a driver facing a flashing red signal must stop, and the right to proceed follows the rules that apply after stopping at a stop sign.<\/p>\r\n<h3 class=\"sub\">What Crash Reports List<\/h3>\r\n            <p>Crash reports can list more than one contributing factor. These entries reflect the investigating officer&#39;s assessment and do not determine legal fault.<\/p>\r\n            <p>Failure to yield was listed in 48.8% of the T bone crashes studied. Disregarded traffic signals and stop signs were also common. Those findings fit the intersection setting, where drivers often have to yield, stop or cross another traffic stream. <span class=\"tag\">[<a href=\"#TB-057\">TB-057<\/a>, <a href=\"#TB-058\">TB-058<\/a>, <a href=\"#TB-059\">TB-059<\/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\">Factors listed in T bone crash reports, Texas, 2025<\/caption>\r\n              <thead><tr><th scope=\"col\">Factor listed in the crash report<\/th> <th scope=\"col\">Share of T bone crashes<\/th> <th scope=\"col\">Serious crash rate<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">Failure to yield right of way<\/th> <td class=\"g\">48.8%<\/td> <td>25.9<\/td><\/tr>\r\n                <tr><th scope=\"row\">Disregarded a traffic signal<\/th> <td class=\"g\">19.6%<\/td> <td>37.7<\/td><\/tr>\r\n                <tr><th scope=\"row\">Disregarded a stop sign or light<\/th> <td class=\"g\">15.1%<\/td> <td>39.9<\/td><\/tr>\r\n                <tr><th scope=\"row\">Driver inattention<\/th> <td class=\"g\">14.4%<\/td> <td>24.7<\/td><\/tr>\r\n                <tr><th scope=\"row\">Speed related factor (unsafe speed, speeding, failed to control speed)<\/th> <td class=\"g\">4.5%<\/td> <td>77.4<\/td><\/tr>\r\n                <tr><th scope=\"row\">Alcohol related factor<\/th> <td class=\"g\">1.7%<\/td> <td>116.7<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n<p class=\"tag-list\">Shares in this table: [<a href=\"#TB-057\">TB-057<\/a>, <a href=\"#TB-058\">TB-058<\/a>, <a href=\"#TB-059\">TB-059<\/a>, <a href=\"#TB-060\">TB-060<\/a>, <a href=\"#TB-061\">TB-061<\/a>, <a href=\"#TB-062\">TB-062<\/a>]<\/p>\r\n<p class=\"note\">Serious crash rate: crashes involving a death or suspected serious injury for every 1,000 crashes in that factor group.<\/p>\r\n            <p>Speed related and alcohol related factors appeared in fewer reports, but the crashes listing either factor had much higher serious crash rates than the full T bone group, which had 30.3 serious crashes for every 1,000 crashes. <span class=\"tag\">[<a href=\"#TB-063\">TB-063<\/a>, <a href=\"#TB-064\">TB-064<\/a>, <a href=\"#TB-020\">TB-020<\/a>]<\/span><\/p>\r\n            <p>That does not mean speed or alcohol was the only cause of those crashes. One crash can include several listed factors, so the percentages in the table add to more than 100%.<\/p>\r\n<p class=\"note\">Alcohol related factors are the two alcohol entries an officer can list in the crash report: &quot;had been drinking&quot; and &quot;under the influence of alcohol.&quot; A listed entry does not mean a chemical test result was recorded.<\/p>\r\n<h3 class=\"sub\">When T Bone Crashes Happen<\/h3>\r\n            <p>T bone crashes were most common in the late afternoon. The highest number occurred during the hour beginning at 5 p.m., followed closely by the 4 p.m. hour. <span class=\"tag\">[<a href=\"#TB-065\">TB-065<\/a>, <a href=\"#TB-066\">TB-066<\/a>]<\/span><\/p>\r\n            <p>The afternoon peak overlaps with a time when many people are traveling from work, school and other daily activities. The records show when crashes happened, but they do not measure traffic volume or prove why the afternoon count was higher.<\/p>\r\n            <p>About one in four T bone crashes occurred in darkness, at dawn or at dusk. Crashes after dark had 45.3 serious crashes for every 1,000, compared with 25.9 in daylight. That is a difference in the reported data, not proof that darkness alone caused the more serious outcomes. <span class=\"tag\">[<a href=\"#TB-067\">TB-067<\/a>, <a href=\"#TB-068\">TB-068<\/a>, <a href=\"#TB-069\">TB-069<\/a>]<\/span><\/p>\r\n            <p>The chart shows the number of reported T bone crashes during each hour of the day. The afternoon peak is clear, but serious crashes occurred at every hour.<\/p>\r\n<figure class=\"hb-fig\">\r\n<figcaption>T bone crashes by hour of day, Texas, 2025<\/figcaption>\r\n<table class=\"hb-table\">\r\n<thead><tr><th scope=\"col\">Hour beginning<\/th> <th scope=\"col\">Crashes<\/th><\/tr><\/thead>\r\n<tbody>\r\n<tr><th scope=\"row\">12 a.m.<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:13.3%\"><\/span><\/span> <span class=\"hb-num\">812<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">1 a.m.<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:9.1%\"><\/span><\/span> <span class=\"hb-num\">558<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">2 a.m.<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:9.5%\"><\/span><\/span> <span class=\"hb-num\">584<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">3 a.m.<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:6.1%\"><\/span><\/span> <span class=\"hb-num\">371<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">4 a.m.<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:6.4%\"><\/span><\/span> <span class=\"hb-num\">392<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">5 a.m.<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:15.4%\"><\/span><\/span> <span class=\"hb-num\">942<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">6 a.m.<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:28.3%\"><\/span><\/span> <span class=\"hb-num\">1,734<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">7 a.m.<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:56.2%\"><\/span><\/span> <span class=\"hb-num\">3,435<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">8 a.m.<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:55.5%\"><\/span><\/span> <span class=\"hb-num\">3,395<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">9 a.m.<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:49.8%\"><\/span><\/span> <span class=\"hb-num\">3,045<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">10 a.m.<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:53.0%\"><\/span><\/span> <span class=\"hb-num\">3,239<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">11 a.m.<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:62.0%\"><\/span><\/span> <span class=\"hb-num\">3,792<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">12 p.m.<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:74.9%\"><\/span><\/span> <span class=\"hb-num\">4,584<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">1 p.m.<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:73.2%\"><\/span><\/span> <span class=\"hb-num\">4,480<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">2 p.m.<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:76.0%\"><\/span><\/span> <span class=\"hb-num\">4,646<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">3 p.m.<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:86.4%\"><\/span><\/span> <span class=\"hb-num\">5,288<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">4 p.m.<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:98.9%\"><\/span><\/span> <span class=\"hb-num\">6,049<\/span><\/td><\/tr>\r\n<tr class=\"hb-gold\"><th scope=\"row\">5 p.m.<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:100.0%\"><\/span><\/span> <span class=\"hb-num\">6,117<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">6 p.m.<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:75.9%\"><\/span><\/span> <span class=\"hb-num\">4,642<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">7 p.m.<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:53.7%\"><\/span><\/span> <span class=\"hb-num\">3,286<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">8 p.m.<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:39.7%\"><\/span><\/span> <span class=\"hb-num\">2,428<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">9 p.m.<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:33.6%\"><\/span><\/span> <span class=\"hb-num\">2,054<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">10 p.m.<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:26.4%\"><\/span><\/span> <span class=\"hb-num\">1,614<\/span><\/td><\/tr>\r\n<tr><th scope=\"row\">11 p.m.<\/th> <td><span class=\"hb-track\" aria-hidden=\"true\"><span class=\"hb-fill\" style=\"width:17.5%\"><\/span><\/span> <span class=\"hb-num\">1,069<\/span><\/td><\/tr>\r\n<\/tbody><\/table>\r\n<p class=\"hb-note\">Hour of day as recorded in the crash report. Time and light show when crashes happened. They do not prove that the time of day or darkness caused the crash.<\/p><\/figure>\r\n<p class=\"more\"><a class=\"lnk\" href=\"#t-where\">Intersection details, the state highway system, all listed factors, day of week and light condition<\/a><\/p>\r\n\r\n          <\/section>\r\n          <section id=\"tables\" aria-labelledby=\"tables-title\">\r\n            <h2 id=\"tables-title\">Full Data <span class=\"accent\">Tables<\/span><\/h2>\r\n            <p>The sections above focus on the main findings. The tables below provide the full results behind those findings, including yearly trends, comparison groups, severity breakdowns, vehicle damage details, city severity rates, and location and time patterns.<\/p>\r\n            <p>Readers who want to check a specific figure can use the linked source markers throughout the page or download the data files at the end.<\/p>\r\n<h3 class=\"sub\" id=\"t-years\">Crash Counts by Year<\/h3>\r\n            <p>This table places the T bone group alongside rear end crashes, all angle crashes, and crashes involving a left turn across oncoming traffic. Those groups are kept separate because they describe different vehicle movements.<\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-6\"><table class=\"dtable w880\">\r\n              <caption id=\"tbl-6\">Reported crashes by group, Texas, 2019 to 2025, and 2026 year to date through September 24; preliminary and incomplete<\/caption>\r\n              <thead><tr><th scope=\"col\">Year<\/th> <th scope=\"col\">All reported crashes<\/th> <th scope=\"col\">T bone<\/th> <th scope=\"col\">T bone share<\/th> <th scope=\"col\">All angle crashes<\/th> <th scope=\"col\">Rear end<\/th> <th scope=\"col\">Left turn across oncoming traffic<\/th> <th scope=\"col\">Note<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">2019<\/th> <td>562,258<\/td> <td class=\"g\">72,551<\/td> <td>12.9%<\/td> <td>118,408<\/td> <td>161,665<\/td> <td>40,213<\/td> <td><\/td><\/tr>\r\n                <tr><th scope=\"row\">2020<\/th> <td>475,275<\/td> <td class=\"g\">61,696<\/td> <td>13.0%<\/td> <td>100,191<\/td> <td>118,277<\/td> <td>33,099<\/td> <td><\/td><\/tr>\r\n                <tr><th scope=\"row\">2021<\/th> <td>552,707<\/td> <td class=\"g\">70,869<\/td> <td>12.8%<\/td> <td>120,031<\/td> <td>141,384<\/td> <td>40,308<\/td> <td><\/td><\/tr>\r\n                <tr><th scope=\"row\">2022<\/th> <td>555,691<\/td> <td class=\"g\">72,139<\/td> <td>13.0%<\/td> <td>123,653<\/td> <td>142,825<\/td> <td>42,007<\/td> <td><\/td><\/tr>\r\n                <tr><th scope=\"row\">2023<\/th> <td>559,736<\/td> <td class=\"g\">71,612<\/td> <td>12.8%<\/td> <td>125,521<\/td> <td>142,409<\/td> <td>42,385<\/td> <td>CR-3 revision effective April 1<\/td><\/tr>\r\n                <tr><th scope=\"row\">2024<\/th> <td>555,039<\/td> <td class=\"g\">72,062<\/td> <td>13.0%<\/td> <td>125,962<\/td> <td>140,855<\/td> <td>41,889<\/td> <td><\/td><\/tr>\r\n                <tr><th scope=\"row\">2025<\/th> <td>539,112<\/td> <td class=\"g\">68,556<\/td> <td>12.7%<\/td> <td>121,743<\/td> <td>136,250<\/td> <td>40,149<\/td> <td>Most recent complete calendar year<\/td><\/tr>\r\n                <tr><th scope=\"row\">2026 YTD (through Sept. 24)<\/th> <td>374,749<\/td> <td class=\"g\">48,272<\/td> <td>12.9%<\/td> <td>84,334<\/td> <td>93,343<\/td> <td>27,492<\/td> <td>Partial year; recent reports may be incomplete<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n<h3 class=\"sub\" id=\"t-people\">People Killed or Seriously Injured<\/h3>\r\n            <p>Unlike the crash count table, this table counts people. Several people can be hurt in the same crash, so these numbers should not be compared directly with crash totals.<\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-7\"><table class=\"dtable w880\">\r\n              <caption id=\"tbl-7\">People killed or seriously injured, Texas, 2019 to 2025, and 2026 year to date through September 24; preliminary and incomplete (people, not crashes)<\/caption>\r\n              <thead><tr><th scope=\"col\">Year<\/th> <th scope=\"col\">T bone: killed<\/th> <th scope=\"col\">T bone: seriously injured<\/th> <th scope=\"col\">T bone: total<\/th> <th scope=\"col\">Rear end: killed<\/th> <th scope=\"col\">Rear end: seriously injured<\/th> <th scope=\"col\">All crashes: killed<\/th> <th scope=\"col\">All crashes: seriously injured<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">2019<\/th> <td>259<\/td> <td>2,153<\/td> <td class=\"g\">2,412<\/td> <td>338<\/td> <td>2,359<\/td> <td>3,622<\/td> <td>15,859<\/td><\/tr>\r\n                <tr><th scope=\"row\">2020<\/th> <td>322<\/td> <td>1,944<\/td> <td class=\"g\">2,266<\/td> <td>333<\/td> <td>1,984<\/td> <td>3,898<\/td> <td>14,669<\/td><\/tr>\r\n                <tr><th scope=\"row\">2021<\/th> <td>323<\/td> <td>2,634<\/td> <td class=\"g\">2,957<\/td> <td>421<\/td> <td>2,731<\/td> <td>4,456<\/td> <td>19,456<\/td><\/tr>\r\n                <tr><th scope=\"row\">2022<\/th> <td>321<\/td> <td>2,618<\/td> <td class=\"g\">2,939<\/td> <td>412<\/td> <td>2,575<\/td> <td>4,410<\/td> <td>18,890<\/td><\/tr>\r\n                <tr><th scope=\"row\">2023<\/th> <td>343<\/td> <td>2,662<\/td> <td class=\"g\">3,005<\/td> <td>371<\/td> <td>2,498<\/td> <td>4,291<\/td> <td>18,769<\/td><\/tr>\r\n                <tr><th scope=\"row\">2024<\/th> <td>324<\/td> <td>2,416<\/td> <td class=\"g\">2,740<\/td> <td>353<\/td> <td>2,572<\/td> <td>4,162<\/td> <td>18,237<\/td><\/tr>\r\n                <tr><th scope=\"row\">2025<\/th> <td>277<\/td> <td>2,295<\/td> <td class=\"g\">2,572<\/td> <td>340<\/td> <td>2,473<\/td> <td>3,763<\/td> <td>17,436<\/td><\/tr>\r\n                <tr><th scope=\"row\">2026 YTD (through Sept. 24)<\/th> <td>169<\/td> <td>1,683<\/td> <td class=\"g\">1,852<\/td> <td>231<\/td> <td>1,760<\/td> <td>2,606<\/td> <td>12,097<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n            <p>In the 2026 year to date figures, T bone crashes killed or seriously injured 1,852 people. Because the year is incomplete and some reports arrive late, this total will rise. <span class=\"tag\">[<a href=\"#TB-070\">TB-070<\/a>]<\/span><\/p>\r\n<h3 class=\"sub\" id=\"t-severity\">Full Severity Results<\/h3>\r\n            <p>The broader angle group includes the main T bone category plus the other angle crashes, those involving a turning, backing or stopped vehicle. It is useful for context, but it is not the same as the narrower T bone group used throughout the main page. It had 25.6 serious crashes for every 1,000 in 2025. <span class=\"tag\">[<a href=\"#TB-071\">TB-071<\/a>]<\/span><\/p>\r\n            <p>Crashes involving a left turn across oncoming traffic are also shown for comparison (38.1 serious crashes for every 1,000). They are not included in the T bone total and will be analyzed separately in a future Left Turn Crash Index. <span class=\"tag\">[<a href=\"#TB-072\">TB-072<\/a>]<\/span><\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-8\"><table class=\"dtable w880\">\r\n              <caption id=\"tbl-8\">Crash groups compared, Texas, 2025<\/caption>\r\n              <thead><tr><th scope=\"col\">2025<\/th> <th scope=\"col\">T bone<\/th> <th scope=\"col\">Rear end<\/th> <th scope=\"col\">All angle crashes<\/th> <th scope=\"col\">Left turn across oncoming traffic<\/th> <th scope=\"col\">All reported crashes<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">Crashes<\/th> <td class=\"g\">68,556<\/td> <td>136,250<\/td> <td>121,743<\/td> <td>40,149<\/td> <td>539,112<\/td><\/tr>\r\n                <tr><th scope=\"row\">Share of all reported crashes<\/th> <td class=\"g\">12.7%<\/td> <td>25.3%<\/td> <td>22.6%<\/td> <td>7.4%<\/td> <td>100%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Fatal crashes<\/th> <td class=\"g\">255<\/td> <td>297<\/td> <td>418<\/td> <td>219<\/td> <td>3,471<\/td><\/tr>\r\n                <tr><th scope=\"row\">Serious crashes (a death or suspected serious injury)<\/th> <td class=\"g\">2,076<\/td> <td>2,351<\/td> <td>3,120<\/td> <td>1,530<\/td> <td>17,878<\/td><\/tr>\r\n                <tr><th scope=\"row\">Serious crashes for every 1,000 crashes<\/th> <td class=\"g\">30.3<\/td> <td>17.3<\/td> <td>25.6<\/td> <td>38.1<\/td> <td>33.2<\/td><\/tr>\r\n                <tr><th scope=\"row\">Fatal crashes for every 1,000 crashes<\/th> <td class=\"g\">3.72<\/td> <td>2.18<\/td> <td>3.43<\/td> <td>5.45<\/td> <td>6.44<\/td><\/tr>\r\n                <tr><th scope=\"row\">People killed<\/th> <td class=\"g\">277<\/td> <td>340<\/td> <td>460<\/td> <td>225<\/td> <td>3,763<\/td><\/tr>\r\n                <tr><th scope=\"row\">People seriously injured<\/th> <td class=\"g\">2,295<\/td> <td>2,473<\/td> <td>3,383<\/td> <td>1,598<\/td> <td>17,436<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-9\"><table class=\"dtable w720\">\r\n              <caption id=\"tbl-9\">Serious crashes for every 1,000 crashes, by year, Texas (2026 year to date through September 24; preliminary and incomplete)<\/caption>\r\n              <thead><tr><th scope=\"col\">Year<\/th> <th scope=\"col\">T bone<\/th> <th scope=\"col\">Rear end<\/th> <th scope=\"col\">T bone rate divided by rear end rate<\/th> <th scope=\"col\">All angle crashes<\/th> <th scope=\"col\">All reported crashes<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">2019<\/th> <td>26.3<\/td> <td>13.8<\/td> <td class=\"g\">1.90<\/td> <td>22.7<\/td> <td>28.8<\/td><\/tr>\r\n                <tr><th scope=\"row\">2020<\/th> <td>28.8<\/td> <td>16.4<\/td> <td class=\"g\">1.75<\/td> <td>25.7<\/td> <td>33.0<\/td><\/tr>\r\n                <tr><th scope=\"row\">2021<\/th> <td>32.7<\/td> <td>18.3<\/td> <td class=\"g\">1.79<\/td> <td>28.7<\/td> <td>35.8<\/td><\/tr>\r\n                <tr><th scope=\"row\">2022<\/th> <td>31.7<\/td> <td>17.1<\/td> <td class=\"g\">1.86<\/td> <td>27.4<\/td> <td>34.7<\/td><\/tr>\r\n                <tr><th scope=\"row\">2023<\/th> <td>31.9<\/td> <td>16.6<\/td> <td class=\"g\">1.93<\/td> <td>27.2<\/td> <td>34.1<\/td><\/tr>\r\n                <tr><th scope=\"row\">2024<\/th> <td>30.8<\/td> <td>17.1<\/td> <td class=\"g\">1.80<\/td> <td>26.4<\/td> <td>33.7<\/td><\/tr>\r\n                <tr><th scope=\"row\">2025<\/th> <td>30.3<\/td> <td>17.3<\/td> <td class=\"g\">1.75<\/td> <td>25.6<\/td> <td>33.2<\/td><\/tr>\r\n                <tr><th scope=\"row\">2026 YTD (through Sept. 24)<\/th> <td>30.7<\/td> <td>17.6<\/td> <td class=\"g\">1.74<\/td> <td>26.4<\/td> <td>33.1<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n            <p>In the 2026 year to date figures, the T bone rate was 30.7 serious crashes for every 1,000, compared with 17.6 for rear end crashes. These figures will change as late reports arrive and as deaths within 30 days of a crash are added to the records. <span class=\"tag\">[<a href=\"#TB-073\">TB-073<\/a>, <a href=\"#TB-074\">TB-074<\/a>]<\/span><\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-10\"><table class=\"dtable w880\">\r\n              <caption id=\"tbl-10\">Crashes by crash severity code, Texas, 2025<\/caption>\r\n              <thead><tr><th scope=\"col\">Severity<\/th> <th scope=\"col\">T bone<\/th> <th scope=\"col\">Share<\/th> <th scope=\"col\">Rear end<\/th> <th scope=\"col\">Share<\/th> <th scope=\"col\">All angle crashes<\/th> <th scope=\"col\">Share<\/th> <th scope=\"col\">All reported crashes<\/th> <th scope=\"col\">Share<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">Fatal (K)<\/th> <td>255<\/td> <td>0.37%<\/td> <td>297<\/td> <td>0.22%<\/td> <td>418<\/td> <td>0.34%<\/td> <td>3,471<\/td> <td>0.64%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Suspected serious injury (A)<\/th> <td>1,821<\/td> <td>2.66%<\/td> <td>2,054<\/td> <td>1.51%<\/td> <td>2,702<\/td> <td>2.22%<\/td> <td>14,407<\/td> <td>2.67%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Suspected minor injury (B)<\/th> <td>13,281<\/td> <td>19.37%<\/td> <td>17,732<\/td> <td>13.01%<\/td> <td>20,221<\/td> <td>16.61%<\/td> <td>76,144<\/td> <td>14.12%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Possible injury (C)<\/th> <td>13,420<\/td> <td>19.58%<\/td> <td>22,673<\/td> <td>16.64%<\/td> <td>20,422<\/td> <td>16.77%<\/td> <td>75,281<\/td> <td>13.96%<\/td><\/tr>\r\n                <tr><th scope=\"row\">No apparent injury (O, CRIS code N)<\/th> <td>39,423<\/td> <td>57.50%<\/td> <td>92,739<\/td> <td>68.07%<\/td> <td>77,376<\/td> <td>63.56%<\/td> <td>352,376<\/td> <td>65.36%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Unknown or autonomous code<\/th> <td>356<\/td> <td>0.52%<\/td> <td>755<\/td> <td>0.55%<\/td> <td>604<\/td> <td>0.50%<\/td> <td>17,433<\/td> <td>3.23%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Serious crashes (K or A)<\/th> <td>2,076<\/td> <td>3.03%<\/td> <td>2,351<\/td> <td>1.73%<\/td> <td>3,120<\/td> <td>2.56%<\/td> <td>17,878<\/td> <td>3.32%<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n<h3 class=\"sub\" id=\"t-damage\">Vehicle Damage Details<\/h3>\r\n            <p>The detailed damage table uses TxDOT&#39;s technical damage codes. The summary above groups those codes into front, side and back damage so the pattern is easier to understand.<\/p>\r\n            <p>Officers rate each vehicle&#39;s damage with TxDOT&#39;s <a class=\"lnk\" href=\"https:\/\/ftp.txdot.gov\/pub\/txdot-info\/trf\/crash_notifications\/2015\/crash-report-80.pdf\" target=\"_blank\" rel=\"noopener\">CR-80 Vehicle Damage Guide<\/a>; rating 1 holds the most severe damage. The guide defines LP as &quot;left side damage in vicinity of passenger compartment due to angular impact by another vehicle or object,&quot; RP as the right side equivalent, and directs investigators to those codes when a vehicle is struck broadside near the passenger compartment. In 2025, 15.5% of rated vehicles in T bone crashes had LP or RP as their most severe damage. <span class=\"tag\">[<a href=\"#TB-075\">TB-075<\/a>, <a href=\"#TB-076\">TB-076<\/a>]<\/span><\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-11\"><table class=\"dtable w760\">\r\n              <caption id=\"tbl-11\">Most severe recorded damage by code, Texas, 2025<\/caption>\r\n              <thead><tr><th scope=\"col\">Damage area (CR-80 codes)<\/th> <th scope=\"col\">Vehicles in T bone crashes<\/th> <th scope=\"col\">Share of rated<\/th> <th scope=\"col\">Vehicles in rear end crashes<\/th> <th scope=\"col\">Share of rated<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">Side, passenger compartment, angular impact (LP, RP)<\/th> <td>21,659<\/td> <td class=\"g\">15.5%<\/td> <td>1,615<\/td> <td>0.5%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Any side area, angular impact (LP, RP, LFQ, RFQ, LBQ, RBQ)<\/th> <td>53,673<\/td> <td class=\"g\">38.5%<\/td> <td>12,149<\/td> <td>4.1%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Side, sideswipe parallel impact (LD, RD)<\/th> <td>7,684<\/td> <td class=\"g\">5.5%<\/td> <td>2,519<\/td> <td>0.9%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Front end (FC, FD, FL, FR)<\/th> <td>74,441<\/td> <td class=\"g\">53.4%<\/td> <td>132,674<\/td> <td>45.0%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Back end (BC, BD, BL, BR)<\/th> <td>2,590<\/td> <td class=\"g\">1.9%<\/td> <td>145,591<\/td> <td>49.4%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Other (rollover, top, undercarriage, burned, motorcycle, not applicable)<\/th> <td>1,138<\/td> <td class=\"g\">0.8%<\/td> <td>1,747<\/td> <td>0.6%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Vehicles with a damage rating<\/th> <td>139,526<\/td> <td class=\"g\">100%<\/td> <td>294,680<\/td> <td>100%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Vehicles with no rating recorded<\/th> <td>5,334<\/td> <td class=\"g\">3.7% of vehicles<\/td> <td>20,073<\/td> <td>6.4% of vehicles<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n            <p>Direction of force is optional for police agencies and was recorded for 87.3% of vehicles coded LP or RP. When present, it matched the clock positions the CR-80 guide pairs with each code: 97.5% of LP vehicles took the force from 8 to 10 o&#39;clock, and 97.5% of RP vehicles from 2 to 4 o&#39;clock. <span class=\"tag\">[<a href=\"#TB-077\">TB-077<\/a>, <a href=\"#TB-078\">TB-078<\/a>, <a href=\"#TB-079\">TB-079<\/a>]<\/span><\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-12\"><table class=\"dtable w720\">\r\n              <caption id=\"tbl-12\">Vehicles in T bone crashes by period: damage records and side damage<\/caption>\r\n              <thead><tr><th scope=\"col\">Period<\/th> <th scope=\"col\">Vehicles<\/th> <th scope=\"col\">With a damage rating<\/th> <th scope=\"col\">LP or RP, share of rated<\/th> <th scope=\"col\">Any side area, share of rated<\/th> <th scope=\"col\">Front end, share of rated<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">2019<\/th> <td>153,448<\/td> <td>96.1%<\/td> <td>14.7%<\/td> <td>38.5%<\/td> <td>52.9%<\/td><\/tr>\r\n                <tr><th scope=\"row\">2020<\/th> <td>130,809<\/td> <td>95.9%<\/td> <td>14.9%<\/td> <td>38.3%<\/td> <td>53.0%<\/td><\/tr>\r\n                <tr><th scope=\"row\">2021<\/th> <td>150,238<\/td> <td>95.9%<\/td> <td>14.7%<\/td> <td>37.8%<\/td> <td>53.2%<\/td><\/tr>\r\n                <tr><th scope=\"row\">2022<\/th> <td>152,728<\/td> <td>96.0%<\/td> <td>14.9%<\/td> <td>38.3%<\/td> <td>53.1%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Jan to Mar 2023<\/th> <td>35,693<\/td> <td>95.8%<\/td> <td>14.9%<\/td> <td>38.4%<\/td> <td>53.1%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Apr to Dec 2023<\/th> <td>116,068<\/td> <td>96.2%<\/td> <td>15.0%<\/td> <td>38.5%<\/td> <td>52.9%<\/td><\/tr>\r\n                <tr><th scope=\"row\">2024<\/th> <td>152,502<\/td> <td>96.3%<\/td> <td>15.2%<\/td> <td>38.6%<\/td> <td>53.0%<\/td><\/tr>\r\n                <tr><th scope=\"row\">2025<\/th> <td>144,860<\/td> <td>96.3%<\/td> <td>15.5%<\/td> <td>38.5%<\/td> <td>53.4%<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n<p class=\"note\">Sideswipe damage (LD, RD) is kept out of the side measures because CR-80 defines it as parallel impact. The public query can count damage by vehicle but cannot count crashes in which at least one vehicle had side damage; that crash level measure needs TxDOT&#39;s bulk extract and is planned for Edition 2.<\/p>\r\n<h3 class=\"sub\" id=\"t-cities\">Serious T Bone Crashes by City<\/h3>\r\n            <p>City serious crash rates varied more than overall T bone crash rates. Midland had the highest serious crash rate among the 12 cities, 43.5 for every 1,000 crashes, while Laredo had the lowest, 7.8. <span class=\"tag\">[<a href=\"#TB-080\">TB-080<\/a>, <a href=\"#TB-081\">TB-081<\/a>]<\/span><\/p>\r\n            <p>Several cities (Corpus Christi, Laredo, Lubbock, Odessa, McAllen) had fewer than 20 serious T bone crashes. Small counts can produce large swings from one year to the next, so those rates should be read with caution.<\/p>\r\n            <p>A city can have a high T bone crash rate but a lower serious crash rate, or the reverse. This table separates how often crashes occurred from how severe they were.<\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-13\"><table class=\"dtable w620\">\r\n              <caption id=\"tbl-13\">Serious T bone crashes by city, 2025 (serious crashes are crash counts; people are person counts)<\/caption>\r\n              <thead><tr><th scope=\"col\">City<\/th> <th scope=\"col\">Serious crashes<\/th> <th scope=\"col\">Serious crashes for every 1,000 crashes<\/th> <th scope=\"col\">People killed or seriously injured<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">Odessa<\/th> <td>14<\/td> <td class=\"g\">24.5 (small count)<\/td> <td>15<\/td><\/tr>\r\n                <tr><th scope=\"row\">Houston<\/th> <td>250<\/td> <td class=\"g\">24.9<\/td> <td>327<\/td><\/tr>\r\n                <tr><th scope=\"row\">Midland<\/th> <td>22<\/td> <td class=\"g\">43.5<\/td> <td>26<\/td><\/tr>\r\n                <tr><th scope=\"row\">Laredo<\/th> <td>7<\/td> <td class=\"g\">7.8 (small count)<\/td> <td>8<\/td><\/tr>\r\n                <tr><th scope=\"row\">Lubbock<\/th> <td>19<\/td> <td class=\"g\">23.1 (small count)<\/td> <td>24<\/td><\/tr>\r\n                <tr><th scope=\"row\">El Paso<\/th> <td>35<\/td> <td class=\"g\">18.9<\/td> <td>43<\/td><\/tr>\r\n                <tr><th scope=\"row\">McAllen<\/th> <td>5<\/td> <td class=\"g\">12.6 (small count)<\/td> <td>6<\/td><\/tr>\r\n                <tr><th scope=\"row\">Dallas<\/th> <td>131<\/td> <td class=\"g\">39.2<\/td> <td>164<\/td><\/tr>\r\n                <tr><th scope=\"row\">San Antonio<\/th> <td>66<\/td> <td class=\"g\">17.0<\/td> <td>76<\/td><\/tr>\r\n                <tr><th scope=\"row\">Corpus Christi<\/th> <td>9<\/td> <td class=\"g\">11.9 (small count)<\/td> <td>10<\/td><\/tr>\r\n                <tr><th scope=\"row\">Fort Worth<\/th> <td>65<\/td> <td class=\"g\">28.5<\/td> <td>71<\/td><\/tr>\r\n                <tr><th scope=\"row\">Austin<\/th> <td>49<\/td> <td class=\"g\">32.0<\/td> <td>60<\/td><\/tr>\r\n                <tr><th scope=\"row\">Texas statewide<\/th> <td>2,076<\/td> <td class=\"g\">30.3<\/td> <td>2,572<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n            <p>These are partial year counts, not annual rates. Do not compare them directly with the full year 2025 city results above. The cities appear in the same order as the 2025 tables.<\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-14\"><table class=\"dtable w520\">\r\n              <caption id=\"tbl-14\">T bone crashes by city, 2026 year to date through September 24; preliminary and incomplete<\/caption>\r\n              <thead><tr><th scope=\"col\">City<\/th> <th scope=\"col\">T bone crashes<\/th> <th scope=\"col\">Share of reported crashes<\/th> <th scope=\"col\">Serious crashes<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">Odessa<\/th> <td>373<\/td> <td>15.8%<\/td> <td>7<\/td><\/tr>\r\n                <tr><th scope=\"row\">Houston<\/th> <td>6,890<\/td> <td>16.7%<\/td> <td>147<\/td><\/tr>\r\n                <tr><th scope=\"row\">Midland<\/th> <td>364<\/td> <td>19.6%<\/td> <td>11<\/td><\/tr>\r\n                <tr><th scope=\"row\">Laredo<\/th> <td>586<\/td> <td>15.5%<\/td> <td>3<\/td><\/tr>\r\n                <tr><th scope=\"row\">Lubbock<\/th> <td>563<\/td> <td>16.1%<\/td> <td>8<\/td><\/tr>\r\n                <tr><th scope=\"row\">El Paso<\/th> <td>1,360<\/td> <td>13.0%<\/td> <td>34<\/td><\/tr>\r\n                <tr><th scope=\"row\">McAllen<\/th> <td>276<\/td> <td>13.9%<\/td> <td>6<\/td><\/tr>\r\n                <tr><th scope=\"row\">Dallas<\/th> <td>2,391<\/td> <td>13.6%<\/td> <td>82<\/td><\/tr>\r\n                <tr><th scope=\"row\">San Antonio<\/th> <td>2,807<\/td> <td>10.6%<\/td> <td>54<\/td><\/tr>\r\n                <tr><th scope=\"row\">Corpus Christi<\/th> <td>585<\/td> <td>12.6%<\/td> <td>11<\/td><\/tr>\r\n                <tr><th scope=\"row\">Fort Worth<\/th> <td>1,661<\/td> <td>14.5%<\/td> <td>66<\/td><\/tr>\r\n                <tr><th scope=\"row\">Austin<\/th> <td>907<\/td> <td>14.4%<\/td> <td>30<\/td><\/tr>\r\n                <tr><th scope=\"row\">Texas statewide<\/th> <td>48,272<\/td> <td>12.9%<\/td> <td>1,483<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n<h3 class=\"sub\" id=\"t-where\">Full Location and Time Results<\/h3>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-15\"><table class=\"dtable w660\">\r\n              <caption id=\"tbl-15\">T bone crashes by intersection relation, Texas, 2025<\/caption>\r\n              <thead><tr><th scope=\"col\">Intersection relation<\/th> <th scope=\"col\">T bone crashes<\/th> <th scope=\"col\">Share<\/th> <th scope=\"col\">Serious crashes for every 1,000 crashes<\/th> <th scope=\"col\">Share of all reported crashes<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">Intersection<\/th> <td>57,638<\/td> <td class=\"g\">84.1%<\/td> <td>32.5<\/td> <td>24.5%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Intersection related<\/th> <td>366<\/td> <td class=\"g\">0.5%<\/td> <td>68.3<\/td> <td>18.6%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Driveway access<\/th> <td>10,074<\/td> <td class=\"g\">14.7%<\/td> <td>16.0<\/td> <td>9.5%<\/td><\/tr>\r\n                <tr><th scope=\"row\">Not at an intersection<\/th> <td>478<\/td> <td class=\"g\">0.7%<\/td> <td>33.5<\/td> <td>47.4%<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n            <p>In 2025, 42.4% of T bone crashes occurred on roadways coded in CRIS as part of the state highway system. The other 57.6% occurred off that system. The serious crash rate was higher on the state system roads in this analysis, for every crash group in the table below. <span class=\"tag\">[<a href=\"#TB-082\">TB-082<\/a>, <a href=\"#TB-083\">TB-083<\/a>]<\/span><\/p>\r\n            <p>The roadway system comparison is descriptive. It does not measure traffic volume, speed, road design, or the reason a crash occurred.<\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-16\"><table class=\"dtable w620\">\r\n              <caption id=\"tbl-16\">Share of 2025 crashes on roadways coded in CRIS as part of the state highway system, and serious crashes for every 1,000 crashes on and off that system<\/caption>\r\n              <thead><tr><th scope=\"col\">Crash group<\/th> <th scope=\"col\">On state system<\/th> <th scope=\"col\">Serious for every 1,000, on system<\/th> <th scope=\"col\">Serious for every 1,000, off system<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">T bone<\/th> <td>42.4%<\/td> <td>42.4<\/td> <td>21.4<\/td><\/tr>\r\n                <tr><th scope=\"row\">All angle crashes<\/th> <td>45.5%<\/td> <td>34.8<\/td> <td>17.9<\/td><\/tr>\r\n                <tr><th scope=\"row\">Rear end<\/th> <td>71.1%<\/td> <td>20.1<\/td> <td>10.2<\/td><\/tr>\r\n                <tr><th scope=\"row\">All reported crashes<\/th> <td>58.1%<\/td> <td>37.7<\/td> <td>26.8<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-17\"><table class=\"dtable w660\">\r\n              <caption id=\"tbl-17\">All factors listed in T bone crash reports, Texas, 2025 (at least one driver listed)<\/caption>\r\n              <thead><tr><th scope=\"col\">Factor listed in the crash report<\/th> <th scope=\"col\">T bone crashes<\/th> <th scope=\"col\">Share<\/th> <th scope=\"col\">Serious crashes for every 1,000 crashes<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">Failed to yield right of way (any of seven CRIS codes)<\/th> <td>33,446<\/td> <td class=\"g\">48.8%<\/td> <td>25.9<\/td><\/tr>\r\n                <tr><th scope=\"row\">Disregard stop and go signal<\/th> <td>13,420<\/td> <td class=\"g\">19.6%<\/td> <td>37.7<\/td><\/tr>\r\n                <tr><th scope=\"row\">Disregard stop sign or light<\/th> <td>10,336<\/td> <td class=\"g\">15.1%<\/td> <td>39.9<\/td><\/tr>\r\n                <tr><th scope=\"row\">Driver inattention<\/th> <td>9,863<\/td> <td class=\"g\">14.4%<\/td> <td>24.7<\/td><\/tr>\r\n                <tr><th scope=\"row\">Speed related (failed to control speed, unsafe speed, speeding over the limit)<\/th> <td>3,112<\/td> <td class=\"g\">4.5%<\/td> <td>77.4<\/td><\/tr>\r\n                <tr><th scope=\"row\">Distraction in vehicle or cell phone use<\/th> <td>1,285<\/td> <td class=\"g\">1.9%<\/td> <td>33.5<\/td><\/tr>\r\n                <tr><th scope=\"row\">Alcohol related factor (had been drinking, or under the influence of alcohol)<\/th> <td>1,157<\/td> <td class=\"g\">1.7%<\/td> <td>116.7<\/td><\/tr>\r\n                <tr><th scope=\"row\">Failed to drive in single lane<\/th> <td>149<\/td> <td class=\"g\">0.2%<\/td> <td>53.7<\/td><\/tr>\r\n                <tr><th scope=\"row\">None of the factors above listed<\/th> <td>5,595<\/td> <td class=\"g\">8.2%<\/td> <td>24.7<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n<p class=\"note\">A report can list several factors, so the shares add to more than 100% (106.1% for the eight factor groups). 8.2% of T bone crashes listed none of them. Factors listed in crash reports reflect investigative reporting and do not establish legal fault, a single cause, or comparative responsibility. <span class=\"tag\">[<a href=\"#TB-084\">TB-084<\/a>]<\/span><\/p>\r\n            <p>Weekend T bone crashes were less common than weekday crashes, even per day, but more likely to involve a death or suspected serious injury: 36.3 serious crashes for every 1,000, compared with 28.3 on weekdays. <span class=\"tag\">[<a href=\"#TB-085\">TB-085<\/a>, <a href=\"#TB-086\">TB-086<\/a>]<\/span><\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-18\"><table class=\"dtable w520\">\r\n              <caption id=\"tbl-18\">T bone crashes by day of week, Texas, 2025<\/caption>\r\n              <thead><tr><th scope=\"col\">Day<\/th> <th scope=\"col\">Crashes<\/th> <th scope=\"col\">Share<\/th> <th scope=\"col\">Serious crashes for every 1,000 crashes<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">Monday<\/th> <td>9,689<\/td> <td>14.1%<\/td> <td>28.7<\/td><\/tr>\r\n                <tr><th scope=\"row\">Tuesday<\/th> <td>10,222<\/td> <td>14.9%<\/td> <td>29.3<\/td><\/tr>\r\n                <tr><th scope=\"row\">Wednesday<\/th> <td>10,442<\/td> <td>15.2%<\/td> <td>26.3<\/td><\/tr>\r\n                <tr><th scope=\"row\">Thursday<\/th> <td>10,483<\/td> <td>15.3%<\/td> <td>28.0<\/td><\/tr>\r\n                <tr><th scope=\"row\">Friday<\/th> <td>11,126<\/td> <td>16.2%<\/td> <td>29.4<\/td><\/tr>\r\n                <tr><th scope=\"row\">Saturday<\/th> <td>9,141<\/td> <td>13.3%<\/td> <td>35.6<\/td><\/tr>\r\n                <tr><th scope=\"row\">Sunday<\/th> <td>7,453<\/td> <td>10.9%<\/td> <td>37.3<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-19\"><table class=\"dtable w520\">\r\n              <caption id=\"tbl-19\">T bone crashes by light condition, Texas, 2025<\/caption>\r\n              <thead><tr><th scope=\"col\">Light condition<\/th> <th scope=\"col\">Crashes<\/th> <th scope=\"col\">Share<\/th> <th scope=\"col\">Serious crashes for every 1,000 crashes<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">Daylight<\/th> <td>52,303<\/td> <td>76.3%<\/td> <td>25.9<\/td><\/tr>\r\n                <tr><th scope=\"row\">Dark, lighted<\/th> <td>11,685<\/td> <td>17.0%<\/td> <td>41.7<\/td><\/tr>\r\n                <tr><th scope=\"row\">Dark, not lighted<\/th> <td>2,712<\/td> <td>4.0%<\/td> <td>61.2<\/td><\/tr>\r\n                <tr><th scope=\"row\">Dusk<\/th> <td>738<\/td> <td>1.1%<\/td> <td>40.7<\/td><\/tr>\r\n                <tr><th scope=\"row\">Dawn<\/th> <td>643<\/td> <td>0.9%<\/td> <td>32.7<\/td><\/tr>\r\n                <tr><th scope=\"row\">Dark, unknown lighting<\/th> <td>373<\/td> <td>0.5%<\/td> <td>42.9<\/td><\/tr>\r\n                <tr><th scope=\"row\">Unknown<\/th> <td>62<\/td> <td>0.1%<\/td> <td>0.0<\/td><\/tr>\r\n                <tr><th scope=\"row\">Other<\/th> <td>40<\/td> <td>0.1%<\/td> <td>50.0<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n\r\n          <\/section>\r\n          <section id=\"method\" aria-labelledby=\"method-title\">\r\n            <h2 id=\"method-title\">How We <span class=\"accent\">Counted Them<\/span><\/h2>\r\n<h3 class=\"sub\">Our T Bone Definition<\/h3>\r\n            <p>The main dataset includes reported Texas crashes that TxDOT classified as &quot;Angle, both going straight.&quot; TxDOT uses this category, in its manner of collision field, to describe how the vehicles were moving before the crash.<\/p>\r\n            <p>The technical table below lists every TxDOT collision category used in this index. It shows which category defines the main T bone group and which categories appear only as comparisons. Each code matches the live CRIS code table and TxDOT&#39;s <a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/public-extract-file-specification.xlsx\" target=\"_blank\" rel=\"noopener\">Public Extract File Specification<\/a> (updated June 13, 2025), and none changed between 2019 and 2025. Labels are quoted exactly as TxDOT publishes them. <span class=\"tag\">[<a href=\"#TB-087\">TB-087<\/a>]<\/span><\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-20\"><table class=\"dtable w760\">\r\n              <caption id=\"tbl-20\">TxDOT manner of collision codes used in this index (CRIS field 50; extract column FHE_Collsn_ID)<\/caption>\r\n              <thead><tr><th scope=\"col\">Group<\/th> <th scope=\"col\">Code<\/th> <th scope=\"col\">Official TxDOT label<\/th> <th scope=\"col\">Counted as a T bone crash?<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">T bone (main group; also part of all angle crashes)<\/th> <td>10<\/td> <td>ANGLE &#8211; BOTH GOING STRAIGHT<\/td> <td>Yes<\/td><\/tr>\r\n                <tr><th scope=\"row\">All angle comparison group<\/th> <td>11<\/td> <td>ANGLE &#8211; ONE STRAIGHT-ONE BACKING<\/td> <td>No (comparison only)<\/td><\/tr>\r\n                <tr><th scope=\"row\">All angle comparison group<\/th> <td>12<\/td> <td>ANGLE &#8211; ONE STRAIGHT-ONE STOPPED<\/td> <td>No (comparison only)<\/td><\/tr>\r\n                <tr><th scope=\"row\">All angle comparison group<\/th> <td>13<\/td> <td>ANGLE &#8211; ONE STRAIGHT-ONE RIGHT TURN<\/td> <td>No (comparison only)<\/td><\/tr>\r\n                <tr><th scope=\"row\">All angle comparison group<\/th> <td>14<\/td> <td>ANGLE &#8211; ONE STRAIGHT-ONE LEFT TURN<\/td> <td>No (comparison only)<\/td><\/tr>\r\n                <tr><th scope=\"row\">All angle comparison group<\/th> <td>15<\/td> <td>ANGLE &#8211; BOTH RIGHT TURN<\/td> <td>No (comparison only)<\/td><\/tr>\r\n                <tr><th scope=\"row\">All angle comparison group<\/th> <td>16<\/td> <td>ANGLE &#8211; ONE RIGHT TURN-ONE LEFT TURN<\/td> <td>No (comparison only)<\/td><\/tr>\r\n                <tr><th scope=\"row\">All angle comparison group<\/th> <td>17<\/td> <td>ANGLE &#8211; ONE RIGHT TURN-ONE STOPPED<\/td> <td>No (comparison only)<\/td><\/tr>\r\n                <tr><th scope=\"row\">All angle comparison group<\/th> <td>18<\/td> <td>ANGLE &#8211; BOTH LEFT TURN<\/td> <td>No (comparison only)<\/td><\/tr>\r\n                <tr><th scope=\"row\">All angle comparison group<\/th> <td>19<\/td> <td>ANGLE &#8211; ONE LEFT TURN-ONE STOPPED<\/td> <td>No (comparison only)<\/td><\/tr>\r\n                <tr><th scope=\"row\">Left turn across oncoming traffic<\/th> <td>34<\/td> <td>OPPOSITE DIRECTION &#8211; ONE STRAIGHT-ONE LEFT TURN<\/td> <td>No (comparison only; future Left Turn Crash Index)<\/td><\/tr>\r\n                <tr><th scope=\"row\">Head on<\/th> <td>30<\/td> <td>OPPOSITE DIRECTION &#8211; BOTH GOING STRAIGHT<\/td> <td>No (Head On index)<\/td><\/tr>\r\n                <tr><th scope=\"row\">Rear end<\/th> <td>20<\/td> <td>SAME DIRECTION &#8211; BOTH GOING STRAIGHT-REAR END<\/td> <td>No (comparison only; Rear End index)<\/td><\/tr>\r\n                <tr><th scope=\"row\">Rear end<\/th> <td>22<\/td> <td>SAME DIRECTION &#8211; ONE STRAIGHT-ONE STOPPED<\/td> <td>No (comparison only; Rear End index)<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n<h3 class=\"sub\">What a Reported Crash Means<\/h3>\r\n            <p>TxDOT&#39;s database does not include every minor collision that happens in Texas. It includes crashes that meet the state reporting threshold, generally because they involved an injury, a death, or about $1,000 or more in damage to any one person&#39;s property. TxDOT flags these crashes as reportable, and every count here uses that flag.<\/p>\r\n            <p>Small crashes that were not reported to law enforcement may not appear in the database.<\/p>\r\n<h3 class=\"sub\">Why 2025 Is the Main Year<\/h3>\r\n            <p>2025 is the most recent complete calendar year in this analysis. TxDOT may still receive late or corrected reports.<\/p>\r\n            <p>TxDOT&#39;s April 7, 2026 statewide snapshot reported 3,769 traffic deaths for 2025. The September 24 CRIS query used for this study returned 3,763 people killed. Because these figures come from different data snapshots and query processes, this study does not treat the difference of 6 deaths as a change in TxDOT&#39;s official annual total. <span class=\"tag\">[<a href=\"#TB-088\">TB-088<\/a>]<\/span><\/p>\r\n            <p>2026 is shown separately as year to date figures through September 24, 2026, which are preliminary and incomplete. They cover the 2026 crashes in TxDOT&#39;s database on that date, and the most recent weeks are incomplete. All counts come from the CRIS public query run September 24, 2026, 6:23 p.m. to 9:23 p.m. Central.<\/p>\r\n<h3 class=\"sub\">How Cities Are Counted<\/h3>\r\n            <p>A crash counts toward a city only if it happened inside the city limits, because TxDOT&#39;s instructions tell officers to enter a city name only in that case. City rates divide each year&#39;s crashes by the city&#39;s July 1 population for the same year, from Census Bureau Vintage 2025 estimates. <span class=\"tag\">[<a href=\"#TB-089\">TB-089<\/a>]<\/span><\/p>\r\n            <p>A crash outside city limits may still occur near a metro area, but it is not included in that city&#39;s row.<\/p>\r\n<h3 class=\"sub\">Crashes, Vehicles and People<\/h3>\r\n            <p>This study uses three different types of counts:<\/p>\r\n<ul class=\"bars\" role=\"list\">\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>Crash count: one collision.<\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>Vehicle count: one vehicle involved in a collision.<\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>People count: one person killed or reported with a suspected serious injury.<\/span><\/li>\r\n<\/ul>\r\n            <p>Because one crash may involve several vehicles and several people, these totals answer different questions and should not be compared as if they measure the same thing.<\/p>\r\n<h3 class=\"sub\">Data Quality Notes<\/h3>\r\n            <p>TxDOT revised its crash report form for crashes on or after April 1, 2023 (<a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/data-maps\/crash-reports-records\/forms-law-enforcement.html\" target=\"_blank\" rel=\"noopener\">TxDOT forms page<\/a>). The data quality table below shows that the fields used in this study remained consistently available before and after that change.<\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-21\"><table class=\"dtable w880\">\r\n              <caption id=\"tbl-21\">How often the crash report included each detail: percent of T bone records with a value, by period<\/caption>\r\n              <thead><tr><th scope=\"col\">Field<\/th> <th scope=\"col\">2019<\/th> <th scope=\"col\">2020<\/th> <th scope=\"col\">2021<\/th> <th scope=\"col\">2022<\/th> <th scope=\"col\">Jan to Mar 2023<\/th> <th scope=\"col\">Apr to Dec 2023<\/th> <th scope=\"col\">2024<\/th> <th scope=\"col\">2025<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">Manner of collision (all reportable crashes)<\/th> <td>100.0<\/td> <td>100.0<\/td> <td>100.0<\/td> <td>100.0<\/td> <td>100.0<\/td> <td>100.0<\/td> <td>100.0<\/td> <td>100.0<\/td><\/tr>\r\n                <tr><th scope=\"row\">Crash severity<\/th> <td>99.5<\/td> <td>99.5<\/td> <td>99.4<\/td> <td>99.4<\/td> <td>99.4<\/td> <td>99.4<\/td> <td>99.5<\/td> <td>99.5<\/td><\/tr>\r\n                <tr><th scope=\"row\">Traffic control (crash records)<\/th> <td>100.0<\/td> <td>100.0<\/td> <td>100.0<\/td> <td>100.0<\/td> <td>100.0<\/td> <td>100.0<\/td> <td>100.0<\/td> <td>100.0<\/td><\/tr>\r\n                <tr><th scope=\"row\">Intersection relation (crash records)<\/th> <td>100.0<\/td> <td>100.0<\/td> <td>100.0<\/td> <td>100.0<\/td> <td>100.0<\/td> <td>100.0<\/td> <td>100.0<\/td> <td>100.0<\/td><\/tr>\r\n                <tr><th scope=\"row\">At intersection (crash records)<\/th> <td>100.0<\/td> <td>100.0<\/td> <td>100.0<\/td> <td>100.0<\/td> <td>100.0<\/td> <td>100.0<\/td> <td>100.0<\/td> <td>100.0<\/td><\/tr>\r\n                <tr><th scope=\"row\">Light condition (crash records)<\/th> <td>99.4<\/td> <td>99.3<\/td> <td>99.3<\/td> <td>99.2<\/td> <td>99.1<\/td> <td>99.3<\/td> <td>99.3<\/td> <td>99.4<\/td><\/tr>\r\n                <tr><th scope=\"row\">Damage rating 1 area (vehicle records)<\/th> <td>96.1<\/td> <td>95.9<\/td> <td>95.9<\/td> <td>96.0<\/td> <td>95.8<\/td> <td>96.2<\/td> <td>96.3<\/td> <td>96.3<\/td><\/tr>\r\n                <tr><th scope=\"row\">Damage rating 1 direction of force (vehicle records)<\/th> <td>86.1<\/td> <td>85.0<\/td> <td>83.3<\/td> <td>82.6<\/td> <td>82.0<\/td> <td>83.4<\/td> <td>84.1<\/td> <td>84.9<\/td><\/tr>\r\n                <tr><th scope=\"row\">Body style (vehicle records)<\/th> <td>98.4<\/td> <td>98.1<\/td> <td>98.0<\/td> <td>98.0<\/td> <td>97.9<\/td> <td>98.0<\/td> <td>98.1<\/td> <td>98.1<\/td><\/tr>\r\n                <tr><th scope=\"row\">Occupant position (person records)<\/th> <td>99.8<\/td> <td>99.4<\/td> <td>99.2<\/td> <td>99.2<\/td> <td>99.2<\/td> <td>99.3<\/td> <td>99.2<\/td> <td>99.2<\/td><\/tr>\r\n                <tr><th scope=\"row\">City field: share of crashes inside a city<\/th> <td>85.8<\/td> <td>84.7<\/td> <td>84.4<\/td> <td>84.3<\/td> <td>83.7<\/td> <td>83.2<\/td> <td>82.6<\/td> <td>82.1<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n<p class=\"note\">No field changed by 5 points or more across the April 2023 revision; in plain terms, the form change did not create a large break in the data used for this study. TxDOT&#39;s revised crash report form took effect on April 1, 2023. The data quality table splits that year before and after the change, while the annual trend tables use standard calendar year totals. The city row is not a missing value measure: the City field is always filled, and crashes outside city limits carry the value OUTSIDE CITY LIMITS. Direction of force is optional for agencies.<\/p>\r\n            <p>The public query provided the statewide, city, vehicle and person totals used in this edition; no individual crash records were downloaded. Compared with the September 23, 2026 query behind the Texas Rear End Crash Index, every T bone count was identical in all 13 geographies and 7 years. More detailed analysis connecting vehicle damage to a particular occupant or another vehicle would require TxDOT&#39;s bulk data extract and is outside this edition.<\/p>\r\n            <p>As a check on the query, statewide people killed and seriously injured are compared with TxDOT&#39;s published Crash Facts editions for 2019 to 2024. For 2025, TxDOT has not yet posted a Crash Facts edition, so the death count comes from its <a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/final-compares-2003-2025.pdf\" target=\"_blank\" rel=\"noopener\">2003 to 2025 comparison table<\/a>. Small differences are expected because CRIS keeps receiving reports while each published figure is a fixed snapshot. <span class=\"tag\">[<a href=\"#TB-090\">TB-090<\/a>, <a href=\"#TB-091\">TB-091<\/a>, <a href=\"#TB-092\">TB-092<\/a>, <a href=\"#TB-093\">TB-093<\/a>, <a href=\"#TB-094\">TB-094<\/a>, <a href=\"#TB-095\">TB-095<\/a>]<\/span><\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-22\"><table class=\"dtable w880\">\r\n              <caption id=\"tbl-22\">CRIS person counts compared with TxDOT published figures, Texas<\/caption>\r\n              <thead><tr><th scope=\"col\">Year<\/th> <th scope=\"col\">CRIS people killed<\/th> <th scope=\"col\">TxDOT published deaths<\/th> <th scope=\"col\">Difference<\/th> <th scope=\"col\">CRIS people seriously injured<\/th> <th scope=\"col\">TxDOT published people seriously injured<\/th> <th scope=\"col\">Difference<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">2019<\/th> <td>3,622<\/td> <td>3,622<\/td> <td>0.00%<\/td> <td>15,859<\/td> <td>15,859<\/td> <td>0.00%<\/td><\/tr>\r\n                <tr><th scope=\"row\">2020<\/th> <td>3,898<\/td> <td>3,898<\/td> <td>0.00%<\/td> <td>14,669<\/td> <td>14,669<\/td> <td>0.00%<\/td><\/tr>\r\n                <tr><th scope=\"row\">2021<\/th> <td>4,456<\/td> <td>4,456<\/td> <td>0.00%<\/td> <td>19,456<\/td> <td>19,456<\/td> <td>0.00%<\/td><\/tr>\r\n                <tr><th scope=\"row\">2022<\/th> <td>4,410<\/td> <td>4,410<\/td> <td>0.00%<\/td> <td>18,890<\/td> <td>18,887<\/td> <td>0.02%<\/td><\/tr>\r\n                <tr><th scope=\"row\">2023<\/th> <td>4,291<\/td> <td>4,291<\/td> <td>0.00%<\/td> <td>18,769<\/td> <td>18,765<\/td> <td>0.02%<\/td><\/tr>\r\n                <tr><th scope=\"row\">2024<\/th> <td>4,162<\/td> <td>4,150<\/td> <td>0.29%<\/td> <td>18,237<\/td> <td>18,218<\/td> <td>0.10%<\/td><\/tr>\r\n                <tr><th scope=\"row\">2025<\/th> <td>3,763<\/td> <td>3,769<\/td> <td>-0.16%<\/td> <td>17,436<\/td> <td>Not yet published<\/td> <td><\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n<ul class=\"bars\" role=\"list\">\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>Share of reported crashes = crashes in the group \/ all reportable crashes x 100.<\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>Serious crashes for every 1,000 crashes = crashes coded fatal (K) or suspected serious injury (A) \/ crashes in the group x 1,000. Fatal crashes for every 1,000 crashes = fatal crashes \/ crashes in the group x 1,000.<\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>Crashes per 100,000 residents = crashes in the year \/ July 1 population of the same year x 100,000 (Census Bureau Vintage 2025).<\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>Comparison of two rates = T bone rate \/ rear end rate, both from the same query. Percent change = (later year &#8211; earlier year) \/ earlier year x 100.<\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>This index describes how the vehicles collided and how severe the crashes were. It does not measure fault, causation, legal liability, roadway responsibility, or treatment outcomes.<\/span><\/li>\r\n<\/ul>\r\n\r\n          <\/section>\r\n          <section id=\"findings\" aria-labelledby=\"findings-title\">\r\n            <h2 id=\"findings-title\">What the <span class=\"accent\">Data Shows<\/span><\/h2>\r\n            <p>T bone crashes made up about one in eight reported Texas crashes in 2025. They happened less often than rear end collisions but were more likely to involve a death or suspected serious injury.<\/p>\r\n            <p>Most occurred at intersections, where crash reports often listed failure to yield or a disregarded traffic signal or stop sign. The data also shows higher serious crash rates after dark and in crashes listing speed related or alcohol related factors.<\/p>\r\n            <p>These findings describe patterns in Texas crash reports. They do not decide fault, explain every cause, or determine responsibility in any individual crash.<\/p>\r\n\r\n          <\/section>\r\n          <section id=\"data\" aria-labelledby=\"data-title\">\r\n            <h2 id=\"data-title\">Download Data <span class=\"accent\">and Sources<\/span><\/h2>\r\n            <p>Every figure on this page comes from the files below. Download any file as a CSV to open it in Excel, Google Sheets or another spreadsheet program.<\/p>\r\n            <p>The files include the statewide yearly results, city comparisons, people killed or seriously injured, vehicle damage patterns, data definitions, and a source list for every number quoted on the page.<\/p>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"tbl-23\"><table class=\"dtable w620\">\r\n              <caption id=\"tbl-23\">Files in this dataset<\/caption>\r\n              <thead><tr><th scope=\"col\">File<\/th> <th scope=\"col\">What it contains<\/th> <th scope=\"col\">Rows<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr><th scope=\"row\">Texas crash totals by year<\/th> <td>All reported crashes and the T bone, all angle, rear end and left turn across oncoming traffic groups by severity, Texas, 2019 to 2025, including 2026 year to date counts through September 24<\/td> <td>8<\/td><\/tr>\r\n                <tr><th scope=\"row\">Texas and 12 city results by year<\/th> <td>Texas and 12 city results by year, 2019 to 2025, including 2026 year to date counts through September 24. No 2026 population rates are calculated because the year is incomplete<\/td> <td>104<\/td><\/tr>\r\n                <tr><th scope=\"row\">People killed or seriously injured<\/th> <td>People by injury severity in each crash group: Texas 2019 to 2025 and 2026 year to date through September 24, cities 2024 and 2025<\/td> <td>32<\/td><\/tr>\r\n                <tr><th scope=\"row\">How often key details were recorded<\/th> <td>Share of T bone records with a recorded value, 2019 to 2025, with 2023 split at the April 1 form change<\/td> <td>12<\/td><\/tr>\r\n                <tr><th scope=\"row\">Vehicle damage patterns by year<\/th> <td>Vehicles in T bone crashes by main damage area recorded, 2019 to 2025, with 2023 split at the April 1 form change<\/td> <td>8<\/td><\/tr>\r\n                <tr><th scope=\"row\">Definitions for every column<\/th> <td>What each column in these files means<\/td> <td>15<\/td><\/tr>\r\n                <tr><th scope=\"row\">Data point ledger<\/th> <td>Source list for every number quoted on the page, with its label and notes<\/td> <td>95<\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n            <p>Each figure in the source ledger has one of three labels:<\/p>\r\n<ul class=\"bars\" role=\"list\">\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>Counted for this study: counted from TxDOT crash records.<\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>Taken from a published source: quoted directly from the cited source.<\/span><\/li>\r\n<li><span class=\"rule\" aria-hidden=\"true\"><\/span> <span>Calculated: derived from the underlying counts, such as a rate, percentage or comparison.<\/span><\/li>\r\n<\/ul>\r\n<div class=\"data-box\"><p class=\"note\">Texas crash totals by year (8 rows), file tbone_index_statewide_2019_2026.csv<\/p>\r\n<button type=\"button\" class=\"btn btn-ghost dl-csv\" data-file=\"tbone_index_statewide_2019_2026.csv\">Download CSV<\/button>\r\n<pre class=\"data-pre\" tabindex=\"0\" role=\"region\" aria-label=\"Texas crash totals by year, CSV text\">\r\nyear,status,all_reportable_crashes,all_k,all_ka,core_tbone_crashes,core_tbone_share_pct,core_tbone_k,core_tbone_a,core_tbone_b,core_tbone_c,core_tbone_o,core_tbone_unknown,core_tbone_ka,all_angle_crashes,all_angle_share_pct,all_angle_k,all_angle_a,all_angle_b,all_angle_c,all_angle_o,all_angle_unknown,all_angle_ka,rear_end_crashes,rear_end_share_pct,rear_end_k,rear_end_a,rear_end_b,rear_end_c,rear_end_o,rear_end_unknown,rear_end_ka,opposing_left_turn_crashes,opposing_left_turn_share_pct,opposing_left_turn_k,opposing_left_turn_a,opposing_left_turn_b,opposing_left_turn_c,opposing_left_turn_o,opposing_left_turn_unknown,opposing_left_turn_ka\r\n2019,2019 to 2025 series,562258,3299,16210,72551,12.90,224,1686,9046,18382,42863,350,1910,118408,21.06,358,2326,12717,26393,76089,525,2684,161665,28.75,304,1931,13763,37220,107711,736,2235,40213,7.15,163,963,5565,10356,23023,143,1126\r\n2020,2019 to 2025 series,475275,3545,15665,61696,12.98,275,1499,7603,15032,36972,315,1774,100191,21.08,425,2154,10779,21322,64991,520,2579,118277,24.89,296,1642,9785,25192,80698,664,1938,33099,6.96,151,894,4654,8140,19098,162,1045\r\n2021,2019 to 2025 series,552707,4028,19799,70869,12.82,285,2035,10392,15312,42394,451,2320,120031,21.72,460,2986,15184,22687,77994,720,3446,141384,25.58,379,2213,13849,27462,96669,812,2592,40308,7.29,196,1274,6437,8791,23399,211,1470\r\n2022,2019 to 2025 series,555691,3968,19272,72139,12.98,270,2019,11549,15024,42811,466,2289,123653,22.25,461,2931,16973,22385,80124,779,3392,142825,25.70,364,2078,15147,26400,97951,885,2442,42007,7.56,229,1344,7537,8671,24007,219,1573\r\n2023,2019 to 2025 series,559736,3874,19105,71612,12.79,292,1995,12410,14743,41732,440,2287,125521,22.43,472,2942,18721,22376,80267,743,3414,142409,25.44,332,2026,16181,25586,97350,934,2358,42385,7.57,238,1361,8158,8390,24046,192,1599\r\n2024,2019 to 2025 series,555039,3772,18694,72062,12.98,291,1925,13051,14677,41729,389,2216,125962,22.69,482,2847,19727,21990,80287,629,3329,140855,25.38,321,2084,17182,24721,95746,801,2405,41889,7.55,208,1391,8518,8271,23320,181,1599\r\n2025,2019 to 2025 series,539112,3471,17878,68556,12.72,255,1821,13281,13420,39423,356,2076,121743,22.58,418,2702,20221,20422,77376,604,3120,136250,25.27,297,2054,17732,22673,92739,755,2351,40149,7.45,219,1311,8513,7617,22330,159,1530\r\n2026,2026 year to date through September 24; preliminary and incomplete,374749,2379,12415,48272,12.88,152,1331,9918,9284,27320,267,1483,84334,22.50,266,1964,14963,14016,52667,458,2230,93343,24.91,216,1430,12976,14869,63252,600,1646,27492,7.34,141,849,6245,5051,15086,120,990<\/pre>\r\n<\/div>\r\n<div class=\"data-box\"><p class=\"note\">Texas and 12 city results by year (104 rows), file tbone_index_city_year_2019_2026.csv<\/p>\r\n<button type=\"button\" class=\"btn btn-ghost dl-csv\" data-file=\"tbone_index_city_year_2019_2026.csv\">Download CSV<\/button>\r\n<pre class=\"data-pre\" tabindex=\"0\" role=\"region\" aria-label=\"Texas and 12 city results by year, CSV text\">\r\ngeography,year,status,all_reportable_crashes,core_tbone_crashes,core_share_pct,core_k,core_ka,all_angle_crashes,rear_end_crashes,population_july_1,core_per_100k_residents\r\nTexas,2019,2019 to 2025 series,562258,72551,12.90,224,1910,118408,161665,,\r\nTexas,2020,2019 to 2025 series,475275,61696,12.98,275,1774,100191,118277,29237895,211.0\r\nTexas,2021,2019 to 2025 series,552707,70869,12.82,285,2320,120031,141384,29572672,239.6\r\nTexas,2022,2019 to 2025 series,555691,72139,12.98,270,2289,123653,142825,30118002,239.5\r\nTexas,2023,2019 to 2025 series,559736,71612,12.79,292,2287,125521,142409,30719247,233.1\r\nTexas,2024,2019 to 2025 series,555039,72062,12.98,291,2216,125962,140855,31318578,230.1\r\nTexas,2025,2019 to 2025 series,539112,68556,12.72,255,2076,121743,136250,31709821,216.2\r\nTexas,2026,2026 year to date through September 24; preliminary and incomplete,374749,48272,12.88,152,1483,84334,93343,,\r\nHouston,2019,2019 to 2025 series,68850,12003,17.43,28,250,16021,21319,,\r\nHouston,2020,2019 to 2025 series,58172,10032,17.25,16,236,13490,15974,2298295,436.5\r\nHouston,2021,2019 to 2025 series,66887,11570,17.30,38,283,15655,18942,2291811,504.8\r\nHouston,2022,2019 to 2025 series,67358,11576,17.19,25,282,15877,19097,2316816,499.7\r\nHouston,2023,2019 to 2025 series,67516,11277,16.70,21,292,15683,19154,2345418,480.8\r\nHouston,2024,2019 to 2025 series,66322,11583,17.46,20,251,15893,18577,2385800,485.5\r\nHouston,2025,2019 to 2025 series,60379,10021,16.60,20,250,13823,17031,2397315,418.0\r\nHouston,2026,2026 year to date through September 24; preliminary and incomplete,41355,6890,16.66,9,147,9475,11551,,\r\nDallas,2019,2019 to 2025 series,36825,4955,13.46,11,167,7071,10287,,\r\nDallas,2020,2019 to 2025 series,31986,4208,13.16,15,133,6108,7832,1303503,322.8\r\nDallas,2021,2019 to 2025 series,35326,4544,12.86,14,183,6807,8886,1290763,352.0\r\nDallas,2022,2019 to 2025 series,33959,4491,13.22,10,153,6623,8500,1303744,344.5\r\nDallas,2023,2019 to 2025 series,31638,4062,12.84,12,157,6077,8044,1318565,308.1\r\nDallas,2024,2019 to 2025 series,26126,3677,14.07,19,143,5273,6695,1331299,276.2\r\nDallas,2025,2019 to 2025 series,24685,3338,13.52,13,131,4727,6702,1329491,251.1\r\nDallas,2026,2026 year to date through September 24; preliminary and incomplete,17635,2391,13.56,6,82,3438,4621,,\r\nFort Worth,2019,2019 to 2025 series,14874,2033,13.67,1,45,2997,4103,,\r\nFort Worth,2020,2019 to 2025 series,12796,1762,13.77,7,55,2576,3123,923653,190.8\r\nFort Worth,2021,2019 to 2025 series,14720,2104,14.29,5,62,3214,3642,938082,224.3\r\nFort Worth,2022,2019 to 2025 series,13437,2010,14.96,5,64,3038,3263,959354,209.5\r\nFort Worth,2023,2019 to 2025 series,13519,1959,14.49,6,55,3044,3344,983882,199.1\r\nFort Worth,2024,2019 to 2025 series,12941,2016,15.58,9,68,2991,3094,1008605,199.9\r\nFort Worth,2025,2019 to 2025 series,15679,2284,14.57,13,65,3428,4120,1028117,222.2\r\nFort Worth,2026,2026 year to date through September 24; preliminary and incomplete,11427,1661,14.54,5,66,2567,2991,,\r\nAustin,2019,2019 to 2025 series,16028,2307,14.39,6,91,3608,5050,,\r\nAustin,2020,2019 to 2025 series,11819,1687,14.27,7,78,2615,3152,962163,175.3\r\nAustin,2021,2019 to 2025 series,12571,1736,13.81,4,64,2793,3345,966501,179.6\r\nAustin,2022,2019 to 2025 series,12938,1837,14.20,6,65,2922,3440,978358,187.8\r\nAustin,2023,2019 to 2025 series,12329,1692,13.72,3,57,2731,3436,990110,170.9\r\nAustin,2024,2019 to 2025 series,11401,1568,13.75,4,58,2553,3342,998607,157.0\r\nAustin,2025,2019 to 2025 series,11143,1529,13.72,10,49,2515,3232,1002632,152.5\r\nAustin,2026,2026 year to date through September 24; preliminary and incomplete,6311,907,14.37,4,30,1426,1741,,\r\nSan Antonio,2019,2019 to 2025 series,43096,4557,10.57,7,61,8316,13616,,\r\nSan Antonio,2020,2019 to 2025 series,33574,3620,10.78,9,46,6489,8882,1438310,251.7\r\nSan Antonio,2021,2019 to 2025 series,38852,4151,10.68,13,73,7606,10486,1453435,285.6\r\nSan Antonio,2022,2019 to 2025 series,39646,4301,10.85,8,74,7900,10854,1476463,291.3\r\nSan Antonio,2023,2019 to 2025 series,40345,4197,10.40,9,61,8049,10947,1505047,278.9\r\nSan Antonio,2024,2019 to 2025 series,39690,4072,10.26,6,60,7946,10773,1534063,265.4\r\nSan Antonio,2025,2019 to 2025 series,37304,3878,10.40,5,66,7423,10058,1548422,250.4\r\nSan Antonio,2026,2026 year to date through September 24; preliminary and incomplete,26545,2807,10.57,5,54,5313,6822,,\r\nEl Paso,2019,2019 to 2025 series,16263,2180,13.40,4,33,3377,4966,,\r\nEl Paso,2020,2019 to 2025 series,12497,1715,13.72,6,28,2666,3270,679296,252.5\r\nEl Paso,2021,2019 to 2025 series,15661,1996,12.75,4,37,3258,4393,678522,294.2\r\nEl Paso,2022,2019 to 2025 series,16299,2076,12.74,3,40,3318,4556,678968,305.8\r\nEl Paso,2023,2019 to 2025 series,15920,2107,13.23,9,50,3422,4237,682050,308.9\r\nEl Paso,2024,2019 to 2025 series,15205,1990,13.09,10,42,3334,4054,685231,290.4\r\nEl Paso,2025,2019 to 2025 series,14728,1850,12.56,1,35,3246,3867,683012,270.9\r\nEl Paso,2026,2026 year to date through September 24; preliminary and incomplete,10490,1360,12.96,3,34,2273,2739,,\r\nCorpus Christi,2019,2019 to 2025 series,8177,879,10.75,2,20,1647,2636,,\r\nCorpus Christi,2020,2019 to 2025 series,6788,719,10.59,1,13,1386,1966,318278,225.9\r\nCorpus Christi,2021,2019 to 2025 series,7991,792,9.91,3,20,1654,2374,318180,248.9\r\nCorpus Christi,2022,2019 to 2025 series,7683,798,10.39,0,18,1626,2116,316457,252.2\r\nCorpus Christi,2023,2019 to 2025 series,7440,778,10.46,2,15,1632,2052,316883,245.5\r\nCorpus Christi,2024,2019 to 2025 series,7238,708,9.78,1,14,1555,1914,317147,223.2\r\nCorpus Christi,2025,2019 to 2025 series,7245,759,10.48,0,9,1622,1839,317247,239.2\r\nCorpus Christi,2026,2026 year to date through September 24; preliminary and incomplete,4659,585,12.56,2,11,1127,1151,,\r\nLaredo,2019,2019 to 2025 series,5702,949,16.64,2,18,1384,1794,,\r\nLaredo,2020,2019 to 2025 series,4418,745,16.86,3,9,1063,1268,255471,291.6\r\nLaredo,2021,2019 to 2025 series,5527,928,16.79,1,6,1388,1562,255675,363.0\r\nLaredo,2022,2019 to 2025 series,6040,987,16.34,1,10,1468,1645,256856,384.3\r\nLaredo,2023,2019 to 2025 series,6312,1035,16.40,1,9,1606,1682,260319,397.6\r\nLaredo,2024,2019 to 2025 series,6508,1057,16.24,0,8,1613,1813,268740,393.3\r\nLaredo,2025,2019 to 2025 series,6020,900,14.95,2,7,1485,1633,269515,333.9\r\nLaredo,2026,2026 year to date through September 24; preliminary and incomplete,3773,586,15.53,0,3,925,1059,,\r\nLubbock,2019,2019 to 2025 series,6677,980,14.68,9,20,1594,1819,,\r\nLubbock,2020,2019 to 2025 series,6145,900,14.65,3,16,1492,1451,258080,348.7\r\nLubbock,2021,2019 to 2025 series,7448,1049,14.08,7,18,1788,1780,261274,401.5\r\nLubbock,2022,2019 to 2025 series,6623,953,14.39,6,13,1623,1588,264296,360.6\r\nLubbock,2023,2019 to 2025 series,6089,847,13.91,1,8,1409,1409,267247,316.9\r\nLubbock,2024,2019 to 2025 series,5167,761,14.73,2,4,1263,1151,270226,281.6\r\nLubbock,2025,2019 to 2025 series,5124,824,16.08,8,19,1372,1061,273071,301.8\r\nLubbock,2026,2026 year to date through September 24; preliminary and incomplete,3501,563,16.08,1,8,920,717,,\r\nMidland,2019,2019 to 2025 series,4175,700,16.77,2,10,1144,1254,,\r\nMidland,2020,2019 to 2025 series,2520,432,17.14,1,13,697,620,133247,324.2\r\nMidland,2021,2019 to 2025 series,2628,469,17.85,0,5,744,621,131981,355.4\r\nMidland,2022,2019 to 2025 series,2818,495,17.57,2,22,814,711,135355,365.7\r\nMidland,2023,2019 to 2025 series,2933,547,18.65,1,16,919,683,139801,391.3\r\nMidland,2024,2019 to 2025 series,2677,547,20.43,1,9,839,597,144194,379.4\r\nMidland,2025,2019 to 2025 series,2643,506,19.14,2,22,823,535,147615,342.8\r\nMidland,2026,2026 year to date through September 24; preliminary and incomplete,1856,364,19.61,1,11,570,348,,\r\nOdessa,2019,2019 to 2025 series,3739,643,17.20,1,14,1041,1021,,\r\nOdessa,2020,2019 to 2025 series,2791,490,17.56,2,10,746,704,114922,426.4\r\nOdessa,2021,2019 to 2025 series,2909,462,15.88,1,10,769,744,112281,411.5\r\nOdessa,2022,2019 to 2025 series,3272,564,17.24,1,11,932,844,113574,496.6\r\nOdessa,2023,2019 to 2025 series,3493,553,15.83,2,10,957,873,116738,473.7\r\nOdessa,2024,2019 to 2025 series,3578,586,16.38,4,13,975,944,120189,487.6\r\nOdessa,2025,2019 to 2025 series,3533,571,16.16,3,14,1002,875,122707,465.3\r\nOdessa,2026,2026 year to date through September 24; preliminary and incomplete,2356,373,15.83,0,7,626,578,,\r\nMcAllen,2019,2019 to 2025 series,2980,465,15.60,1,14,778,1201,,\r\nMcAllen,2020,2019 to 2025 series,2144,334,15.58,1,5,544,736,142395,234.6\r\nMcAllen,2021,2019 to 2025 series,2610,406,15.56,1,4,718,877,143739,282.5\r\nMcAllen,2022,2019 to 2025 series,2836,408,14.39,2,9,794,902,144703,282.0\r\nMcAllen,2023,2019 to 2025 series,2968,424,14.29,0,6,826,960,147125,288.2\r\nMcAllen,2024,2019 to 2025 series,2904,404,13.91,0,6,775,955,148655,271.8\r\nMcAllen,2025,2019 to 2025 series,2798,397,14.19,2,5,787,890,150640,263.5\r\nMcAllen,2026,2026 year to date through September 24; preliminary and incomplete,1983,276,13.92,0,6,550,621,,<\/pre>\r\n<\/div>\r\n<div class=\"data-box\"><p class=\"note\">People killed or seriously injured (32 rows), file tbone_index_people_2019_2026.csv<\/p>\r\n<button type=\"button\" class=\"btn btn-ghost dl-csv\" data-file=\"tbone_index_people_2019_2026.csv\">Download CSV<\/button>\r\n<pre class=\"data-pre\" tabindex=\"0\" role=\"region\" aria-label=\"People killed or seriously injured, CSV text\">\r\ngeography,year,status,core_tbone_people_killed_k,core_tbone_people_seriously_injured_a,all_angle_people_killed_k,all_angle_people_seriously_injured_a,rear_end_people_killed_k,rear_end_people_seriously_injured_a,opposing_left_turn_people_killed_k,opposing_left_turn_people_seriously_injured_a,all_people_killed_k,all_people_seriously_injured_a\r\nTexas,2019,2019 to 2025 series,259,2153,403,2943,338,2359,174,1211,3622,15859\r\nTexas,2020,2019 to 2025 series,322,1944,487,2728,333,1984,172,1113,3898,14669\r\nTexas,2021,2019 to 2025 series,323,2634,517,3822,421,2731,213,1610,4456,19456\r\nTexas,2022,2019 to 2025 series,321,2618,528,3787,412,2575,247,1724,4410,18890\r\nTexas,2023,2019 to 2025 series,343,2662,544,3846,371,2498,260,1694,4291,18769\r\nTexas,2024,2019 to 2025 series,324,2416,527,3541,353,2572,219,1733,4162,18237\r\nTexas,2025,2019 to 2025 series,277,2295,460,3383,340,2473,225,1598,3763,17436\r\nTexas,2026,2026 year to date through September 24; preliminary and incomplete,169,1683,287,2466,231,1760,155,1065,2606,12097\r\nHouston,2024,2019 to 2025 series,20,285,33,362,38,270,14,94,340,1511\r\nHouston,2025,2019 to 2025 series,24,303,28,351,23,277,12,72,293,1468\r\nDallas,2024,2019 to 2025 series,22,159,30,230,16,156,19,118,227,1083\r\nDallas,2025,2019 to 2025 series,13,151,19,201,15,172,9,131,172,1065\r\nFort Worth,2024,2019 to 2025 series,10,66,17,84,14,69,6,44,117,462\r\nFort Worth,2025,2019 to 2025 series,13,58,19,86,14,101,4,49,110,562\r\nAustin,2024,2019 to 2025 series,4,64,9,96,7,69,10,44,100,419\r\nAustin,2025,2019 to 2025 series,10,50,12,61,14,44,5,28,98,310\r\nSan Antonio,2024,2019 to 2025 series,7,58,12,112,18,93,15,71,172,680\r\nSan Antonio,2025,2019 to 2025 series,5,71,11,102,19,94,8,44,168,579\r\nEl Paso,2024,2019 to 2025 series,11,37,12,49,11,37,7,33,70,243\r\nEl Paso,2025,2019 to 2025 series,1,42,4,58,6,50,7,25,55,250\r\nCorpus Christi,2024,2019 to 2025 series,1,13,5,19,4,21,4,15,43,128\r\nCorpus Christi,2025,2019 to 2025 series,0,10,3,21,1,14,3,6,37,140\r\nLaredo,2024,2019 to 2025 series,0,13,1,23,1,18,1,5,18,76\r\nLaredo,2025,2019 to 2025 series,2,6,2,7,0,13,0,9,12,62\r\nLubbock,2024,2019 to 2025 series,3,5,3,11,1,10,1,10,29,71\r\nLubbock,2025,2019 to 2025 series,8,16,9,20,0,9,6,7,24,77\r\nMidland,2024,2019 to 2025 series,1,8,3,12,1,10,1,14,20,68\r\nMidland,2025,2019 to 2025 series,2,24,2,27,2,15,1,7,12,86\r\nOdessa,2024,2019 to 2025 series,4,12,5,13,0,8,6,13,29,76\r\nOdessa,2025,2019 to 2025 series,3,12,4,18,1,8,3,11,13,65\r\nMcAllen,2024,2019 to 2025 series,0,8,1,9,0,15,0,12,6,66\r\nMcAllen,2025,2019 to 2025 series,3,3,4,9,0,7,0,8,13,56<\/pre>\r\n<\/div>\r\n<div class=\"data-box\"><p class=\"note\">How often key details were recorded (12 rows), file tbone_index_completeness_by_period.csv<\/p>\r\n<button type=\"button\" class=\"btn btn-ghost dl-csv\" data-file=\"tbone_index_completeness_by_period.csv\">Download CSV<\/button>\r\n<pre class=\"data-pre\" tabindex=\"0\" role=\"region\" aria-label=\"How often key details were recorded, CSV text\">\r\nfield,level,2019,2020,2021,2022,Jan to Mar 2023,Apr to Dec 2023,2024,2025\r\nManner of collision (all reportable crashes),crash,100.00,100.00,100.00,100.00,100.00,100.00,100.00,100.00\r\nCrash severity,crash,99.52,99.49,99.36,99.35,99.37,99.39,99.46,99.48\r\nTraffic control,crash,100.00,100.00,100.00,100.00,100.00,100.00,100.00,100.00\r\nAt intersection,crash,100.00,100.00,100.00,100.00,100.00,100.00,100.00,100.00\r\nIntersection relation,crash,100.00,100.00,100.00,100.00,100.00,100.00,100.00,100.00\r\nCity recorded,crash,100.00,100.00,100.00,100.00,100.00,100.00,100.00,100.00\r\nLight condition,crash,99.35,99.35,99.27,99.22,99.09,99.32,99.27,99.37\r\nDamage rating 1 area,unit,96.13,95.85,95.88,96.01,95.80,96.23,96.26,96.32\r\nDamage rating 1 direction of force,unit,86.05,85.05,83.26,82.59,82.02,83.37,84.11,84.90\r\nBody style,unit,98.35,98.13,97.99,98.00,97.88,97.97,98.09,98.11\r\nOccupant position,person,99.78,99.36,99.19,99.17,99.17,99.29,99.22,99.24\r\nCity field: share of crashes inside a city,crash,85.81,84.72,84.44,84.32,83.75,83.22,82.61,82.08<\/pre>\r\n<\/div>\r\n<div class=\"data-box\"><p class=\"note\">Vehicle damage patterns by year (8 rows), file tbone_index_vehicle_damage_by_period.csv<\/p>\r\n<button type=\"button\" class=\"btn btn-ghost dl-csv\" data-file=\"tbone_index_vehicle_damage_by_period.csv\">Download CSV<\/button>\r\n<pre class=\"data-pre\" tabindex=\"0\" role=\"region\" aria-label=\"Vehicle damage patterns by year, CSV text\">\r\nperiod,vehicles,vehicles_with_damage_rating,rated_pct,lp_or_rp,side_area_lp_rp_lfq_rfq_lbq_rbq,ld_or_rd_parallel,front_fc_fd_fl_fr,back_bc_bd_bl_br\r\n2019,153448,147505,96.13,21627,56808,8532,78085,2827\r\n2020,130809,125381,95.85,18663,47998,7414,66464,2410\r\n2021,150238,144054,95.88,21172,54447,8737,76610,2882\r\n2022,152728,146639,96.01,21824,56116,8681,77853,2720\r\nJan to Mar 2023,35693,34193,95.80,5087,13123,1984,18142,658\r\nApr to Dec 2023,116068,111695,96.23,16754,42967,6591,59057,2061\r\n2024,152502,146795,96.26,22348,56597,8493,77775,2628\r\n2025,144860,139526,96.32,21659,53673,7684,74441,2590<\/pre>\r\n<\/div>\r\n<div class=\"data-box\"><p class=\"note\">Definitions for every column (15 rows), file tbone_index_data_dictionary.csv<\/p>\r\n<button type=\"button\" class=\"btn btn-ghost dl-csv\" data-file=\"tbone_index_data_dictionary.csv\">Download CSV<\/button>\r\n<pre class=\"data-pre\" tabindex=\"0\" role=\"region\" aria-label=\"Definitions for every column, CSV text\">\r\nvariable,definition\r\ncore_tbone,\"T bone crashes: reportable crashes coded CRIS Manner of Collision 10, ANGLE - BOTH GOING STRAIGHT (distinct Crash IDs)\"\r\nall_angle,\"All angle crashes: reportable crashes coded CRIS Manner of Collision 10 to 19, every official ANGLE category\"\r\nrear_end,\"Reportable crashes coded 20 or 22, the Texas Rear End Crash Index definition\"\r\nopposing_left_turn,\"Crashes with a left turn across oncoming traffic: reportable crashes coded 34, OPPOSITE DIRECTION - ONE STRAIGHT-ONE LEFT TURN (comparison only)\"\r\nall_reportable_crashes,\"Every reportable crash in the same geography and year, all manner of collision codes (TxDOT Reportable Flag true)\"\r\n\"_k, _a, _b, _c, _o\",\"Crashes by CRIS Crash Severity, the most severe injury in the crash: K fatal, A suspected serious, B suspected minor, C possible, O no apparent injury (CRIS code N)\"\r\n_unknown,Crashes with unknown severity (CRIS 99) or the CRIS autonomous code (95)\r\n_ka,Serious crashes: crashes coded K (fatal) or A (suspected serious injury)\r\n_share_pct,\"Crashes in the group divided by all reportable crashes, times 100\"\r\n\"people_killed_k, people_seriously_injured_a\",\"People, not crashes: persons whose CRIS Person Injury Severity is K or A, in crashes of the group\"\r\npopulation_july_1,Census Bureau Vintage 2025 estimate for July 1 of the same year (2020 to 2025; blank for 2019 and for the partial year 2026)\r\ncore_per_100k_residents,\"T bone crashes divided by the same year population, times 100,000\"\r\nstatus,\"2019 to 2025 series (complete calendar years), or 2026 year to date through September 24; preliminary and incomplete (recent weeks incomplete)\"\r\ncompleteness file,\"Percent of records in the period with a recorded value (not No Data and not an UNKNOWN code); crash, vehicle or person level as marked\"\r\nvehicle damage file,\"Vehicles (units) in T bone crashes by Vehicle Damage Rating 1 area, the most severe damage recorded for the vehicle\"<\/pre>\r\n<\/div>\r\n            <p>Raw query retention: every CRIS response behind these files is kept exactly as returned, together with the request that produced it, so each count can be rerun and checked against the live CRIS query.<\/p>\r\n<h3 class=\"sub\">Data Point Ledger<\/h3>\r\n            <p>Every [TB] marker on this page links to a row below. CRIS figures come from public queries run September 24, 2026, 6:23 p.m. to 9:23 p.m. Central; each sourced document was accessed the same day.<\/p>\r\n<div class=\"data-box\"><p class=\"note\">Data point ledger (95 rows), file tbone_index_ledger.csv<\/p>\r\n<button type=\"button\" class=\"btn btn-ghost dl-csv\" data-file=\"tbone_index_ledger.csv\">Download CSV<\/button>\r\n<pre class=\"data-pre\" tabindex=\"0\" role=\"region\" aria-label=\"Data point ledger, CSV text\">\r\nid,section,geography,years,metric,value,label,source,source_url,access_date,notes\r\nTB-001,Statewide,Texas,2025,\"T bone crashes (CRIS Manner of Collision 10, Angle, both going straight)\",\"68,556\",Counted for this study,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-002,Statewide,Texas,2025,All reportable crashes,\"539,112\",Counted for this study,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-003,Statewide,Texas,2025,T bone share of reportable crashes,12.7%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-004,Statewide,Texas,2021,\"T bone crashes (lowest year, 2019 to 2024, excluding 2020)\",\"70,869\",Counted for this study,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-005,Statewide,Texas,2019,T bone crashes,\"72,551\",Counted for this study,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-006,Statewide,Texas,2020,T bone crashes,\"61,696\",Counted for this study,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-007,Statewide,Texas,2024,T bone crashes,\"72,062\",Counted for this study,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-008,Statewide,Texas,2024 to 2025,Change in T bone crashes,-4.9%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-009,Statewide,Texas,2019,Serious T bone crashes,\"1,910\",Counted for this study,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-010,Statewide,Texas,2021,\"Serious T bone crashes (highest year, 2019 to 2025)\",\"2,320\",Counted for this study,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-011,Severity,Texas,2025,Serious T bone crashes (coded fatal or suspected serious injury),\"2,076\",Counted for this study,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-012,Statewide,Texas,2019 to 2025,Change in serious T bone crashes,8.7%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-013,Statewide,Texas,2019 to 2025,Change in T bone crashes,-5.5%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-014,2026 year to date,Texas,2026 year to date through September 24,\"T bone crashes, year to date\",\"48,272\",Counted for this study,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\"Year to date through September 24, 2026; preliminary and incomplete\"\r\nTB-015,2026 year to date,Texas,2026 year to date through September 24,\"All reportable crashes, year to date\",\"374,749\",Counted for this study,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\"Year to date through September 24, 2026; preliminary and incomplete\"\r\nTB-016,2026 year to date,Texas,2026 year to date through September 24,\"T bone share of reportable crashes, year to date\",12.9%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\"Year to date through September 24, 2026; preliminary and incomplete\"\r\nTB-017,Severity,Texas,2025,Rear end crashes (codes 20 and 22),\"136,250\",Counted for this study,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-018,Severity,Texas,2025,Rear end crashes divided by T bone crashes,1.99,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Shown on the page in words (twice as common)\r\nTB-019,Severity,Texas,2025,\"Serious rear end crashes for every 1,000 rear end crashes\",17.3,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-020,Severity,Texas,2025,\"Serious T bone crashes for every 1,000 T bone crashes\",30.3,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-021,Severity,Texas,2025,Fatal T bone crashes,255,Counted for this study,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-022,Severity,Texas,2025,\"Additional serious crashes for every 1,000 crashes: T bone minus rear end\",13.0,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-023,Severity,Texas,2025,T bone serious crash rate divided by the rear end rate,1.75,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-024,People,Texas,2025,People killed in T bone crashes,277,Counted for this study,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\"People, not crashes\"\r\nTB-025,People,Texas,2025,People with suspected serious injuries in T bone crashes,\"2,295\",Counted for this study,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\"People, not crashes\"\r\nTB-026,People,Texas,2025,People killed or seriously injured in T bone crashes,\"2,572\",Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\"People, not crashes\"\r\nTB-027,Severity,Texas,2025,\"All reportable crashes: serious crashes for every 1,000 crashes\",33.2,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-028,Vehicle damage,Texas,2025,Vehicles in T bone crashes with a damage rating,\"96.3% of 144,860\",Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Vehicle level\r\nTB-029,Vehicle damage,Texas,2025,Rated vehicles in T bone crashes with front end damage (most severe damage),53.4%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Vehicle level\r\nTB-030,Vehicle damage,Texas,2025,Rated vehicles in T bone crashes with side damage from an angular impact,38.5%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Vehicle level\r\nTB-031,Vehicle damage,Texas,2025,Rated vehicles in rear end crashes with back end damage,49.4%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Vehicle level\r\nTB-032,Vehicle damage,Texas,2025,Rated vehicles in rear end crashes with side damage from an angular impact,4.1%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Vehicle level\r\nTB-033,Cities,Texas and 12 cities,2025,\"July 1, 2025 population estimates\",Vintage 2025,Taken from a published source,\"U.S. Census Bureau, Vintage 2025 Texas city and town population estimates\",https:\/\/www2.census.gov\/programs-surveys\/popest\/datasets\/2020-2025\/cities\/totals\/sub-est2025_48.csv,2026-09-24,\r\nTB-034,Cities,Houston,2025,T bone crashes,\"10,021\",Counted for this study,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-035,Cities,Odessa,2025,T bone crashes,571,Counted for this study,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-036,Cities,Odessa,2025,\"T bone crashes per 100,000 residents (July 1, 2025 population)\",465.3,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Population: Census Vintage 2025\r\nTB-037,Cities,Houston,2025,\"T bone crashes per 100,000 residents (July 1, 2025 population)\",418.0,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Population: Census Vintage 2025\r\nTB-038,Cities,Austin,2025,\"T bone crashes per 100,000 residents (July 1, 2025 population)\",152.5,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Population: Census Vintage 2025\r\nTB-039,Cities,Texas,2025,\"T bone crashes per 100,000 residents (July 1, 2025 population)\",216.2,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Population: Census Vintage 2025\r\nTB-040,Cities,Midland,2025,\"T bone crashes per 100,000 residents (July 1, 2025 population)\",342.8,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Population: Census Vintage 2025\r\nTB-041,Cities,Laredo,2025,\"T bone crashes per 100,000 residents (July 1, 2025 population)\",333.9,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Population: Census Vintage 2025\r\nTB-042,Cities,Lubbock,2025,\"T bone crashes per 100,000 residents (July 1, 2025 population)\",301.8,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Population: Census Vintage 2025\r\nTB-043,Cities,El Paso,2025,\"T bone crashes per 100,000 residents (July 1, 2025 population)\",270.9,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Population: Census Vintage 2025\r\nTB-044,Cities,McAllen,2025,\"T bone crashes per 100,000 residents (July 1, 2025 population)\",263.5,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Population: Census Vintage 2025\r\nTB-045,Cities,Dallas,2025,\"T bone crashes per 100,000 residents (July 1, 2025 population)\",251.1,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Population: Census Vintage 2025\r\nTB-046,Cities,San Antonio,2025,\"T bone crashes per 100,000 residents (July 1, 2025 population)\",250.4,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Population: Census Vintage 2025\r\nTB-047,Cities,Corpus Christi,2025,\"T bone crashes per 100,000 residents (July 1, 2025 population)\",239.2,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Population: Census Vintage 2025\r\nTB-048,Cities,Fort Worth,2025,\"T bone crashes per 100,000 residents (July 1, 2025 population)\",222.2,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Population: Census Vintage 2025\r\nTB-049,Cities,Texas,2025,T bone crashes recorded outside city limits (CRIS City = OUTSIDE CITY LIMITS),\"12,285 (17.9%)\",Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-050,Where,Texas,2025,T bone crashes the report placed at an intersection,84.1%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-051,Where,Texas,2025,All reportable crashes placed at an intersection,24.5%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-052,Where,Texas,2025,T bone crashes with traffic control recorded as stop sign or flashing red light,43.1%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-053,Where,Texas,2025,T bone crashes with traffic control recorded as traffic signal,27.6%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-054,Where,Texas,2025,T bone crashes with traffic control recorded as marked lanes only,18.1%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-055,Where,Texas,2025,T bone crashes with traffic control recorded as no traffic control,4.3%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-056,Where,Texas,2025,T bone crashes with traffic control recorded as other or not recorded,6.9%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-057,Where,Texas,2025,T bone crashes with at least one driver listed with: Failure to yield right of way,48.8%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Not mutually exclusive\r\nTB-058,Where,Texas,2025,T bone crashes with at least one driver listed with: Disregarded a traffic signal,19.6%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Not mutually exclusive\r\nTB-059,Where,Texas,2025,T bone crashes with at least one driver listed with: Disregarded a stop sign or light,15.1%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Not mutually exclusive\r\nTB-060,Where,Texas,2025,T bone crashes with at least one driver listed with: Driver inattention,14.4%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Not mutually exclusive\r\nTB-061,Where,Texas,2025,\"T bone crashes with at least one driver listed with: Speed related factor (unsafe speed, speeding, failed to control speed)\",4.5%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Not mutually exclusive\r\nTB-062,Where,Texas,2025,T bone crashes with at least one driver listed with: Alcohol related factor,1.7%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Not mutually exclusive\r\nTB-063,Where,Texas,2025,\"Serious crashes for every 1,000 T bone crashes with speed listed\",77.4,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-064,Where,Texas,2025,\"Serious crashes for every 1,000 T bone crashes with alcohol listed\",116.7,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-065,Where,Texas,2025,Busiest hour for T bone crashes (5 p.m. hour),\"6,117\",Counted for this study,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-066,Where,Texas,2025,Second busiest hour for T bone crashes (4 p.m. hour),\"6,049\",Counted for this study,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-067,Where,Texas,2025,\"T bone crashes in darkness, dawn or dusk\",23.6%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Shown on the page in words (about one in four)\r\nTB-068,Where,Texas,2025,\"Serious crashes for every 1,000 T bone crashes after dark\",45.3,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-069,Where,Texas,2025,\"Serious crashes for every 1,000 T bone crashes in daylight\",25.9,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-070,2026 year to date,Texas,2026 year to date through September 24,\"People killed or seriously injured in T bone crashes, year to date\",\"1,852\",Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\"Year to date through September 24, 2026; preliminary and incomplete\"\r\nTB-071,Detailed tables,Texas,2025,\"All angle crashes (codes 10 to 19): serious crashes for every 1,000 crashes\",25.6,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-072,Detailed tables,Texas,2025,\"Crashes with a left turn across oncoming traffic (code 34): serious crashes for every 1,000 crashes\",38.1,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Comparison only\r\nTB-073,2026 year to date,Texas,2026 year to date through September 24,\"Serious T bone crashes for every 1,000 T bone crashes, year to date\",30.7,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\"Year to date through September 24, 2026; preliminary and incomplete\"\r\nTB-074,2026 year to date,Texas,2026 year to date through September 24,\"Serious rear end crashes for every 1,000 rear end crashes, year to date\",17.6,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\"Year to date through September 24, 2026; preliminary and incomplete\"\r\nTB-075,Detailed tables,Texas,2015 guide,CR-80 definition of LP: left side damage in vicinity of passenger compartment due to angular impact,Definition,Taken from a published source,\"TxDOT, CR-80 Vehicle Damage Guide for Traffic Crash Investigators, Version 1.2 (2015)\",https:\/\/ftp.txdot.gov\/pub\/txdot-info\/trf\/crash_notifications\/2015\/crash-report-80.pdf,2026-09-24,\r\nTB-076,Detailed tables,Texas,2025,Rated vehicles in T bone crashes with LP or RP as the most severe damage,15.5%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Vehicle level\r\nTB-077,Detailed tables,Texas,2025,LP and RP vehicles with a direction of force recorded,87.3%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Optional field for agencies (CR-100 3.3.50)\r\nTB-078,Detailed tables,Texas,2025,\"LP vehicles with force recorded at 8, 9 or 10 o'clock\",97.5%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,CR-80 pairs 9 o'clock with LP\r\nTB-079,Detailed tables,Texas,2025,\"RP vehicles with force recorded at 2, 3 or 4 o'clock\",97.5%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,CR-80 pairs 3 o'clock with RP\r\nTB-080,Detailed tables,Midland,2025,\"Serious T bone crashes for every 1,000 T bone crashes (highest of the 12 cities)\",43.5,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-081,Detailed tables,Laredo,2025,\"Serious T bone crashes for every 1,000 T bone crashes (lowest of the 12 cities)\",7.8,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,Small count\r\nTB-082,Detailed tables,Texas,2025,T bone crashes on roadways coded in CRIS as part of the state highway system (On System Flag),42.4%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-083,Detailed tables,Texas,2025,T bone crashes off the state highway system (On System Flag false),57.6%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-084,Detailed tables,Texas,2025,T bone crashes with none of the listed factors recorded,8.2%,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-085,Detailed tables,Texas,2025,\"Weekend T bone crashes: serious crashes for every 1,000 crashes\",36.3,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-086,Detailed tables,Texas,2025,\"Weekday T bone crashes: serious crashes for every 1,000 crashes\",28.3,Calculated,TxDOT Crash Records Information System (CRIS) public query,https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home,2026-09-24,\r\nTB-087,Methods,Texas,2025 specification,Manner of Collision codes and labels (COLLSN_LKP),\"Codes 10 to 19, 20, 22, 30, 34\",Taken from a published source,\"TxDOT, CRIS Public Extract File Specification (updated June 13, 2025)\",https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/public-extract-file-specification.xlsx,2026-09-24,\r\nTB-088,Methods,Texas,2025,\"TxDOT published traffic deaths (comparison table, reports processed as of April 7, 2026)\",\"3,769\",Taken from a published source,\"TxDOT, Comparison of Motor Vehicle Traffic Deaths, Vehicle Miles, Death Rates, and Economic Loss, 2003 to 2025 (reports processed as of April 7, 2026)\",https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/final-compares-2003-2025.pdf,2026-09-24,\r\nTB-089,Cities,Texas,2025 instructions,CR-100 section 3.2.6: enter a city name only if the crash occurred inside the city limits,Rule,Taken from a published source,\"TxDOT, CR-100 Instructions to Police for Reporting Crashes, version 29 (2025)\",https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/cr100-v29.pdf,2026-09-24,\r\nTB-090,Methods,Texas,2019,Crash Facts people killed,\"3,622\",Taken from a published source,\"TxDOT, Texas Motor Vehicle Traffic Crash Facts, Calendar Year 2019\",https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/2019\/01.pdf,2026-09-24,\r\nTB-091,Methods,Texas,2020,Crash Facts people killed,\"3,898\",Taken from a published source,\"TxDOT, Texas Motor Vehicle Traffic Crash Facts, Calendar Year 2020\",https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/2020\/01.pdf,2026-09-24,\r\nTB-092,Methods,Texas,2021,Crash Facts people killed,\"4,456\",Taken from a published source,\"TxDOT, Texas Motor Vehicle Traffic Crash Facts, Calendar Year 2021\",https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/2021\/01.pdf,2026-09-24,\r\nTB-093,Methods,Texas,2022,Crash Facts people killed,\"4,410\",Taken from a published source,\"TxDOT, Texas Motor Vehicle Traffic Crash Facts, Calendar Year 2022\",https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/2022\/01.pdf,2026-09-24,\r\nTB-094,Methods,Texas,2023,Crash Facts people killed,\"4,291\",Taken from a published source,\"TxDOT, Texas Motor Vehicle Traffic Crash Facts, Calendar Year 2023\",https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/2023\/01.pdf,2026-09-24,\r\nTB-095,Methods,Texas,2024,Crash Facts people killed,\"4,150\",Taken from a published source,\"TxDOT, Texas Motor Vehicle Traffic Crash Facts, Calendar Year 2024\",https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/2024\/01.pdf,2026-09-24,<\/pre>\r\n<\/div>\r\n<div class=\"ledger-wrap\" tabindex=\"0\" role=\"region\" aria-labelledby=\"ledger-cap\"><table class=\"dtable ledger w880\">\r\n              <caption id=\"ledger-cap\">Data point ledger, 95 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> <th scope=\"col\">Source<\/th> <th scope=\"col\">Notes<\/th><\/tr><\/thead>\r\n              <tbody>\r\n                <tr id=\"TB-001\"><th scope=\"row\">TB-001<\/th> <td>T bone crashes (CRIS Manner of Collision 10, Angle, both going straight)<\/td> <td>Texas<\/td> <td>2025<\/td> <td>68,556<\/td> <td>Counted for this study<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-002\"><th scope=\"row\">TB-002<\/th> <td>All reportable crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>539,112<\/td> <td>Counted for this study<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-003\"><th scope=\"row\">TB-003<\/th> <td>T bone share of reportable crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>12.7%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-004\"><th scope=\"row\">TB-004<\/th> <td>T bone crashes (lowest year, 2019 to 2024, excluding 2020)<\/td> <td>Texas<\/td> <td>2021<\/td> <td>70,869<\/td> <td>Counted for this study<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-005\"><th scope=\"row\">TB-005<\/th> <td>T bone crashes<\/td> <td>Texas<\/td> <td>2019<\/td> <td>72,551<\/td> <td>Counted for this study<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-006\"><th scope=\"row\">TB-006<\/th> <td>T bone crashes<\/td> <td>Texas<\/td> <td>2020<\/td> <td>61,696<\/td> <td>Counted for this study<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-007\"><th scope=\"row\">TB-007<\/th> <td>T bone crashes<\/td> <td>Texas<\/td> <td>2024<\/td> <td>72,062<\/td> <td>Counted for this study<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-008\"><th scope=\"row\">TB-008<\/th> <td>Change in T bone crashes<\/td> <td>Texas<\/td> <td>2024 to 2025<\/td> <td>-4.9%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-009\"><th scope=\"row\">TB-009<\/th> <td>Serious T bone crashes<\/td> <td>Texas<\/td> <td>2019<\/td> <td>1,910<\/td> <td>Counted for this study<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-010\"><th scope=\"row\">TB-010<\/th> <td>Serious T bone crashes (highest year, 2019 to 2025)<\/td> <td>Texas<\/td> <td>2021<\/td> <td>2,320<\/td> <td>Counted for this study<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-011\"><th scope=\"row\">TB-011<\/th> <td>Serious T bone crashes (coded fatal or suspected serious injury)<\/td> <td>Texas<\/td> <td>2025<\/td> <td>2,076<\/td> <td>Counted for this study<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-012\"><th scope=\"row\">TB-012<\/th> <td>Change in serious T bone crashes<\/td> <td>Texas<\/td> <td>2019 to 2025<\/td> <td>8.7%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-013\"><th scope=\"row\">TB-013<\/th> <td>Change in T bone crashes<\/td> <td>Texas<\/td> <td>2019 to 2025<\/td> <td>-5.5%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-014\"><th scope=\"row\">TB-014<\/th> <td>T bone crashes, year to date<\/td> <td>Texas<\/td> <td>2026 year to date through September 24<\/td> <td>48,272<\/td> <td>Counted for this study<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Year to date through September 24, 2026; preliminary and incomplete<\/td><\/tr>\r\n                <tr id=\"TB-015\"><th scope=\"row\">TB-015<\/th> <td>All reportable crashes, year to date<\/td> <td>Texas<\/td> <td>2026 year to date through September 24<\/td> <td>374,749<\/td> <td>Counted for this study<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Year to date through September 24, 2026; preliminary and incomplete<\/td><\/tr>\r\n                <tr id=\"TB-016\"><th scope=\"row\">TB-016<\/th> <td>T bone share of reportable crashes, year to date<\/td> <td>Texas<\/td> <td>2026 year to date through September 24<\/td> <td>12.9%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Year to date through September 24, 2026; preliminary and incomplete<\/td><\/tr>\r\n                <tr id=\"TB-017\"><th scope=\"row\">TB-017<\/th> <td>Rear end crashes (codes 20 and 22)<\/td> <td>Texas<\/td> <td>2025<\/td> <td>136,250<\/td> <td>Counted for this study<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-018\"><th scope=\"row\">TB-018<\/th> <td>Rear end crashes divided by T bone crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>1.99<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Shown on the page in words (twice as common)<\/td><\/tr>\r\n                <tr id=\"TB-019\"><th scope=\"row\">TB-019<\/th> <td>Serious rear end crashes for every 1,000 rear end crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>17.3<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-020\"><th scope=\"row\">TB-020<\/th> <td>Serious T bone crashes for every 1,000 T bone crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>30.3<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-021\"><th scope=\"row\">TB-021<\/th> <td>Fatal T bone crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>255<\/td> <td>Counted for this study<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-022\"><th scope=\"row\">TB-022<\/th> <td>Additional serious crashes for every 1,000 crashes: T bone minus rear end<\/td> <td>Texas<\/td> <td>2025<\/td> <td>13.0<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-023\"><th scope=\"row\">TB-023<\/th> <td>T bone serious crash rate divided by the rear end rate<\/td> <td>Texas<\/td> <td>2025<\/td> <td>1.75<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-024\"><th scope=\"row\">TB-024<\/th> <td>People killed in T bone crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>277<\/td> <td>Counted for this study<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>People, not crashes<\/td><\/tr>\r\n                <tr id=\"TB-025\"><th scope=\"row\">TB-025<\/th> <td>People with suspected serious injuries in T bone crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>2,295<\/td> <td>Counted for this study<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>People, not crashes<\/td><\/tr>\r\n                <tr id=\"TB-026\"><th scope=\"row\">TB-026<\/th> <td>People killed or seriously injured in T bone crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>2,572<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>People, not crashes<\/td><\/tr>\r\n                <tr id=\"TB-027\"><th scope=\"row\">TB-027<\/th> <td>All reportable crashes: serious crashes for every 1,000 crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>33.2<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-028\"><th scope=\"row\">TB-028<\/th> <td>Vehicles in T bone crashes with a damage rating<\/td> <td>Texas<\/td> <td>2025<\/td> <td>96.3% of 144,860<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Vehicle level<\/td><\/tr>\r\n                <tr id=\"TB-029\"><th scope=\"row\">TB-029<\/th> <td>Rated vehicles in T bone crashes with front end damage (most severe damage)<\/td> <td>Texas<\/td> <td>2025<\/td> <td>53.4%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Vehicle level<\/td><\/tr>\r\n                <tr id=\"TB-030\"><th scope=\"row\">TB-030<\/th> <td>Rated vehicles in T bone crashes with side damage from an angular impact<\/td> <td>Texas<\/td> <td>2025<\/td> <td>38.5%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Vehicle level<\/td><\/tr>\r\n                <tr id=\"TB-031\"><th scope=\"row\">TB-031<\/th> <td>Rated vehicles in rear end crashes with back end damage<\/td> <td>Texas<\/td> <td>2025<\/td> <td>49.4%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Vehicle level<\/td><\/tr>\r\n                <tr id=\"TB-032\"><th scope=\"row\">TB-032<\/th> <td>Rated vehicles in rear end crashes with side damage from an angular impact<\/td> <td>Texas<\/td> <td>2025<\/td> <td>4.1%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Vehicle level<\/td><\/tr>\r\n                <tr id=\"TB-033\"><th scope=\"row\">TB-033<\/th> <td>July 1, 2025 population estimates<\/td> <td>Texas and 12 cities<\/td> <td>2025<\/td> <td>Vintage 2025<\/td> <td>Taken from a published source<\/td> <td><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, city estimates<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-034\"><th scope=\"row\">TB-034<\/th> <td>T bone crashes<\/td> <td>Houston<\/td> <td>2025<\/td> <td>10,021<\/td> <td>Counted for this study<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-035\"><th scope=\"row\">TB-035<\/th> <td>T bone crashes<\/td> <td>Odessa<\/td> <td>2025<\/td> <td>571<\/td> <td>Counted for this study<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-036\"><th scope=\"row\">TB-036<\/th> <td>T bone crashes per 100,000 residents (July 1, 2025 population)<\/td> <td>Odessa<\/td> <td>2025<\/td> <td>465.3<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Population: Census Vintage 2025<\/td><\/tr>\r\n                <tr id=\"TB-037\"><th scope=\"row\">TB-037<\/th> <td>T bone crashes per 100,000 residents (July 1, 2025 population)<\/td> <td>Houston<\/td> <td>2025<\/td> <td>418.0<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Population: Census Vintage 2025<\/td><\/tr>\r\n                <tr id=\"TB-038\"><th scope=\"row\">TB-038<\/th> <td>T bone crashes per 100,000 residents (July 1, 2025 population)<\/td> <td>Austin<\/td> <td>2025<\/td> <td>152.5<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Population: Census Vintage 2025<\/td><\/tr>\r\n                <tr id=\"TB-039\"><th scope=\"row\">TB-039<\/th> <td>T bone crashes per 100,000 residents (July 1, 2025 population)<\/td> <td>Texas<\/td> <td>2025<\/td> <td>216.2<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Population: Census Vintage 2025<\/td><\/tr>\r\n                <tr id=\"TB-040\"><th scope=\"row\">TB-040<\/th> <td>T bone crashes per 100,000 residents (July 1, 2025 population)<\/td> <td>Midland<\/td> <td>2025<\/td> <td>342.8<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Population: Census Vintage 2025<\/td><\/tr>\r\n                <tr id=\"TB-041\"><th scope=\"row\">TB-041<\/th> <td>T bone crashes per 100,000 residents (July 1, 2025 population)<\/td> <td>Laredo<\/td> <td>2025<\/td> <td>333.9<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Population: Census Vintage 2025<\/td><\/tr>\r\n                <tr id=\"TB-042\"><th scope=\"row\">TB-042<\/th> <td>T bone crashes per 100,000 residents (July 1, 2025 population)<\/td> <td>Lubbock<\/td> <td>2025<\/td> <td>301.8<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Population: Census Vintage 2025<\/td><\/tr>\r\n                <tr id=\"TB-043\"><th scope=\"row\">TB-043<\/th> <td>T bone crashes per 100,000 residents (July 1, 2025 population)<\/td> <td>El Paso<\/td> <td>2025<\/td> <td>270.9<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Population: Census Vintage 2025<\/td><\/tr>\r\n                <tr id=\"TB-044\"><th scope=\"row\">TB-044<\/th> <td>T bone crashes per 100,000 residents (July 1, 2025 population)<\/td> <td>McAllen<\/td> <td>2025<\/td> <td>263.5<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Population: Census Vintage 2025<\/td><\/tr>\r\n                <tr id=\"TB-045\"><th scope=\"row\">TB-045<\/th> <td>T bone crashes per 100,000 residents (July 1, 2025 population)<\/td> <td>Dallas<\/td> <td>2025<\/td> <td>251.1<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Population: Census Vintage 2025<\/td><\/tr>\r\n                <tr id=\"TB-046\"><th scope=\"row\">TB-046<\/th> <td>T bone crashes per 100,000 residents (July 1, 2025 population)<\/td> <td>San Antonio<\/td> <td>2025<\/td> <td>250.4<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Population: Census Vintage 2025<\/td><\/tr>\r\n                <tr id=\"TB-047\"><th scope=\"row\">TB-047<\/th> <td>T bone crashes per 100,000 residents (July 1, 2025 population)<\/td> <td>Corpus Christi<\/td> <td>2025<\/td> <td>239.2<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Population: Census Vintage 2025<\/td><\/tr>\r\n                <tr id=\"TB-048\"><th scope=\"row\">TB-048<\/th> <td>T bone crashes per 100,000 residents (July 1, 2025 population)<\/td> <td>Fort Worth<\/td> <td>2025<\/td> <td>222.2<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Population: Census Vintage 2025<\/td><\/tr>\r\n                <tr id=\"TB-049\"><th scope=\"row\">TB-049<\/th> <td>T bone crashes recorded outside city limits (CRIS City = OUTSIDE CITY LIMITS)<\/td> <td>Texas<\/td> <td>2025<\/td> <td>12,285 (17.9%)<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-050\"><th scope=\"row\">TB-050<\/th> <td>T bone crashes the report placed at an intersection<\/td> <td>Texas<\/td> <td>2025<\/td> <td>84.1%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-051\"><th scope=\"row\">TB-051<\/th> <td>All reportable crashes placed at an intersection<\/td> <td>Texas<\/td> <td>2025<\/td> <td>24.5%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-052\"><th scope=\"row\">TB-052<\/th> <td>T bone crashes with traffic control recorded as stop sign or flashing red light<\/td> <td>Texas<\/td> <td>2025<\/td> <td>43.1%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-053\"><th scope=\"row\">TB-053<\/th> <td>T bone crashes with traffic control recorded as traffic signal<\/td> <td>Texas<\/td> <td>2025<\/td> <td>27.6%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-054\"><th scope=\"row\">TB-054<\/th> <td>T bone crashes with traffic control recorded as marked lanes only<\/td> <td>Texas<\/td> <td>2025<\/td> <td>18.1%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-055\"><th scope=\"row\">TB-055<\/th> <td>T bone crashes with traffic control recorded as no traffic control<\/td> <td>Texas<\/td> <td>2025<\/td> <td>4.3%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-056\"><th scope=\"row\">TB-056<\/th> <td>T bone crashes with traffic control recorded as other or not recorded<\/td> <td>Texas<\/td> <td>2025<\/td> <td>6.9%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-057\"><th scope=\"row\">TB-057<\/th> <td>T bone crashes with at least one driver listed with: Failure to yield right of way<\/td> <td>Texas<\/td> <td>2025<\/td> <td>48.8%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Not mutually exclusive<\/td><\/tr>\r\n                <tr id=\"TB-058\"><th scope=\"row\">TB-058<\/th> <td>T bone crashes with at least one driver listed with: Disregarded a traffic signal<\/td> <td>Texas<\/td> <td>2025<\/td> <td>19.6%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Not mutually exclusive<\/td><\/tr>\r\n                <tr id=\"TB-059\"><th scope=\"row\">TB-059<\/th> <td>T bone crashes with at least one driver listed with: Disregarded a stop sign or light<\/td> <td>Texas<\/td> <td>2025<\/td> <td>15.1%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Not mutually exclusive<\/td><\/tr>\r\n                <tr id=\"TB-060\"><th scope=\"row\">TB-060<\/th> <td>T bone crashes with at least one driver listed with: Driver inattention<\/td> <td>Texas<\/td> <td>2025<\/td> <td>14.4%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Not mutually exclusive<\/td><\/tr>\r\n                <tr id=\"TB-061\"><th scope=\"row\">TB-061<\/th> <td>T bone crashes with at least one driver listed with: Speed related factor (unsafe speed, speeding, failed to control speed)<\/td> <td>Texas<\/td> <td>2025<\/td> <td>4.5%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Not mutually exclusive<\/td><\/tr>\r\n                <tr id=\"TB-062\"><th scope=\"row\">TB-062<\/th> <td>T bone crashes with at least one driver listed with: Alcohol related factor<\/td> <td>Texas<\/td> <td>2025<\/td> <td>1.7%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Not mutually exclusive<\/td><\/tr>\r\n                <tr id=\"TB-063\"><th scope=\"row\">TB-063<\/th> <td>Serious crashes for every 1,000 T bone crashes with speed listed<\/td> <td>Texas<\/td> <td>2025<\/td> <td>77.4<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-064\"><th scope=\"row\">TB-064<\/th> <td>Serious crashes for every 1,000 T bone crashes with alcohol listed<\/td> <td>Texas<\/td> <td>2025<\/td> <td>116.7<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-065\"><th scope=\"row\">TB-065<\/th> <td>Busiest hour for T bone crashes (5 p.m. hour)<\/td> <td>Texas<\/td> <td>2025<\/td> <td>6,117<\/td> <td>Counted for this study<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-066\"><th scope=\"row\">TB-066<\/th> <td>Second busiest hour for T bone crashes (4 p.m. hour)<\/td> <td>Texas<\/td> <td>2025<\/td> <td>6,049<\/td> <td>Counted for this study<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-067\"><th scope=\"row\">TB-067<\/th> <td>T bone crashes in darkness, dawn or dusk<\/td> <td>Texas<\/td> <td>2025<\/td> <td>23.6%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Shown on the page in words (about one in four)<\/td><\/tr>\r\n                <tr id=\"TB-068\"><th scope=\"row\">TB-068<\/th> <td>Serious crashes for every 1,000 T bone crashes after dark<\/td> <td>Texas<\/td> <td>2025<\/td> <td>45.3<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-069\"><th scope=\"row\">TB-069<\/th> <td>Serious crashes for every 1,000 T bone crashes in daylight<\/td> <td>Texas<\/td> <td>2025<\/td> <td>25.9<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-070\"><th scope=\"row\">TB-070<\/th> <td>People killed or seriously injured in T bone crashes, year to date<\/td> <td>Texas<\/td> <td>2026 year to date through September 24<\/td> <td>1,852<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Year to date through September 24, 2026; preliminary and incomplete<\/td><\/tr>\r\n                <tr id=\"TB-071\"><th scope=\"row\">TB-071<\/th> <td>All angle crashes (codes 10 to 19): serious crashes for every 1,000 crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>25.6<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-072\"><th scope=\"row\">TB-072<\/th> <td>Crashes with a left turn across oncoming traffic (code 34): serious crashes for every 1,000 crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>38.1<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Comparison only<\/td><\/tr>\r\n                <tr id=\"TB-073\"><th scope=\"row\">TB-073<\/th> <td>Serious T bone crashes for every 1,000 T bone crashes, year to date<\/td> <td>Texas<\/td> <td>2026 year to date through September 24<\/td> <td>30.7<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Year to date through September 24, 2026; preliminary and incomplete<\/td><\/tr>\r\n                <tr id=\"TB-074\"><th scope=\"row\">TB-074<\/th> <td>Serious rear end crashes for every 1,000 rear end crashes, year to date<\/td> <td>Texas<\/td> <td>2026 year to date through September 24<\/td> <td>17.6<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Year to date through September 24, 2026; preliminary and incomplete<\/td><\/tr>\r\n                <tr id=\"TB-075\"><th scope=\"row\">TB-075<\/th> <td>CR-80 definition of LP: left side damage in vicinity of passenger compartment due to angular impact<\/td> <td>Texas<\/td> <td>2015 guide<\/td> <td>Definition<\/td> <td>Taken from a published source<\/td> <td><a class=\"lnk\" href=\"https:\/\/ftp.txdot.gov\/pub\/txdot-info\/trf\/crash_notifications\/2015\/crash-report-80.pdf\" target=\"_blank\" rel=\"noopener\">TxDOT CR-80<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-076\"><th scope=\"row\">TB-076<\/th> <td>Rated vehicles in T bone crashes with LP or RP as the most severe damage<\/td> <td>Texas<\/td> <td>2025<\/td> <td>15.5%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Vehicle level<\/td><\/tr>\r\n                <tr id=\"TB-077\"><th scope=\"row\">TB-077<\/th> <td>LP and RP vehicles with a direction of force recorded<\/td> <td>Texas<\/td> <td>2025<\/td> <td>87.3%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Optional field for agencies (CR-100 3.3.50)<\/td><\/tr>\r\n                <tr id=\"TB-078\"><th scope=\"row\">TB-078<\/th> <td>LP vehicles with force recorded at 8, 9 or 10 o&#39;clock<\/td> <td>Texas<\/td> <td>2025<\/td> <td>97.5%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>CR-80 pairs 9 o&#39;clock with LP<\/td><\/tr>\r\n                <tr id=\"TB-079\"><th scope=\"row\">TB-079<\/th> <td>RP vehicles with force recorded at 2, 3 or 4 o&#39;clock<\/td> <td>Texas<\/td> <td>2025<\/td> <td>97.5%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>CR-80 pairs 3 o&#39;clock with RP<\/td><\/tr>\r\n                <tr id=\"TB-080\"><th scope=\"row\">TB-080<\/th> <td>Serious T bone crashes for every 1,000 T bone crashes (highest of the 12 cities)<\/td> <td>Midland<\/td> <td>2025<\/td> <td>43.5<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-081\"><th scope=\"row\">TB-081<\/th> <td>Serious T bone crashes for every 1,000 T bone crashes (lowest of the 12 cities)<\/td> <td>Laredo<\/td> <td>2025<\/td> <td>7.8<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td>Small count<\/td><\/tr>\r\n                <tr id=\"TB-082\"><th scope=\"row\">TB-082<\/th> <td>T bone crashes on roadways coded in CRIS as part of the state highway system (On System Flag)<\/td> <td>Texas<\/td> <td>2025<\/td> <td>42.4%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-083\"><th scope=\"row\">TB-083<\/th> <td>T bone crashes off the state highway system (On System Flag false)<\/td> <td>Texas<\/td> <td>2025<\/td> <td>57.6%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-084\"><th scope=\"row\">TB-084<\/th> <td>T bone crashes with none of the listed factors recorded<\/td> <td>Texas<\/td> <td>2025<\/td> <td>8.2%<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-085\"><th scope=\"row\">TB-085<\/th> <td>Weekend T bone crashes: serious crashes for every 1,000 crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>36.3<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-086\"><th scope=\"row\">TB-086<\/th> <td>Weekday T bone crashes: serious crashes for every 1,000 crashes<\/td> <td>Texas<\/td> <td>2025<\/td> <td>28.3<\/td> <td>Calculated<\/td> <td><a class=\"lnk\" href=\"https:\/\/cris.dot.state.tx.us\/public\/Query\/app\/home\" target=\"_blank\" rel=\"noopener\">TxDOT CRIS public query<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-087\"><th scope=\"row\">TB-087<\/th> <td>Manner of Collision codes and labels (COLLSN_LKP)<\/td> <td>Texas<\/td> <td>2025 specification<\/td> <td>Codes 10 to 19, 20, 22, 30, 34<\/td> <td>Taken from a published source<\/td> <td><a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/public-extract-file-specification.xlsx\" target=\"_blank\" rel=\"noopener\">TxDOT extract specification<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-088\"><th scope=\"row\">TB-088<\/th> <td>TxDOT published traffic deaths (comparison table, reports processed as of April 7, 2026)<\/td> <td>Texas<\/td> <td>2025<\/td> <td>3,769<\/td> <td>Taken from a published source<\/td> <td><a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/final-compares-2003-2025.pdf\" target=\"_blank\" rel=\"noopener\">TxDOT 2003 to 2025 comparison<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-089\"><th scope=\"row\">TB-089<\/th> <td>CR-100 section 3.2.6: enter a city name only if the crash occurred inside the city limits<\/td> <td>Texas<\/td> <td>2025 instructions<\/td> <td>Rule<\/td> <td>Taken from a published source<\/td> <td><a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/cr100-v29.pdf\" target=\"_blank\" rel=\"noopener\">TxDOT CR-100<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-090\"><th scope=\"row\">TB-090<\/th> <td>Crash Facts people killed<\/td> <td>Texas<\/td> <td>2019<\/td> <td>3,622<\/td> <td>Taken from a published source<\/td> <td><a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/2019\/01.pdf\" target=\"_blank\" rel=\"noopener\">TxDOT Crash Facts 2019<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-091\"><th scope=\"row\">TB-091<\/th> <td>Crash Facts people killed<\/td> <td>Texas<\/td> <td>2020<\/td> <td>3,898<\/td> <td>Taken from a published source<\/td> <td><a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/2020\/01.pdf\" target=\"_blank\" rel=\"noopener\">TxDOT Crash Facts 2020<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-092\"><th scope=\"row\">TB-092<\/th> <td>Crash Facts people killed<\/td> <td>Texas<\/td> <td>2021<\/td> <td>4,456<\/td> <td>Taken from a published source<\/td> <td><a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/2021\/01.pdf\" target=\"_blank\" rel=\"noopener\">TxDOT Crash Facts 2021<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-093\"><th scope=\"row\">TB-093<\/th> <td>Crash Facts people killed<\/td> <td>Texas<\/td> <td>2022<\/td> <td>4,410<\/td> <td>Taken from a published source<\/td> <td><a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/2022\/01.pdf\" target=\"_blank\" rel=\"noopener\">TxDOT Crash Facts 2022<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-094\"><th scope=\"row\">TB-094<\/th> <td>Crash Facts people killed<\/td> <td>Texas<\/td> <td>2023<\/td> <td>4,291<\/td> <td>Taken from a published source<\/td> <td><a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/2023\/01.pdf\" target=\"_blank\" rel=\"noopener\">TxDOT Crash Facts 2023<\/a><\/td> <td><\/td><\/tr>\r\n                <tr id=\"TB-095\"><th scope=\"row\">TB-095<\/th> <td>Crash Facts people killed<\/td> <td>Texas<\/td> <td>2024<\/td> <td>4,150<\/td> <td>Taken from a published source<\/td> <td><a class=\"lnk\" href=\"https:\/\/www.txdot.gov\/content\/dam\/docs\/division\/trf\/crash-records\/2024\/01.pdf\" target=\"_blank\" rel=\"noopener\">TxDOT Crash Facts 2024<\/a><\/td> <td><\/td><\/tr>\r\n              <\/tbody>\r\n            <\/table><\/div>\r\n          <\/section>\r\n          <section id=\"about\" aria-labelledby=\"about-title\">\r\n            <h2 id=\"about-title\">About <span class=\"accent\">This Research<\/span><\/h2>\r\n            <p>This index provides a public, reproducible statewide and selected city analysis of Texas crashes classified in TxDOT CRIS under its &quot;Angle, both going straight&quot; category, the closest available agency classification for a T bone collision. The analysis brings together a statewide annual series, selected city rates, severity comparisons with rear end crashes, vehicle damage patterns, traffic control context, factors listed in crash reports and downloadable methods from one consistent TxDOT CRIS framework.<\/p>\r\n            <p>The Texas T Bone Crash 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. <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 built on the same rules includes the <a class=\"lnk\" href=\"https:\/\/severeinjurylawyers.com\/texas-rear-end-crash-index\/\">Texas Rear End Crash Index<\/a> and the <a class=\"lnk\" href=\"https:\/\/severeinjurylawyers.com\/texas-head-on-collision-index\/\">Texas Head On Collision Index<\/a>; see also the <a class=\"lnk\" href=\"https:\/\/severeinjurylawyers.com\/texas-red-light-camera-study\/\">Texas Red Light Camera Study<\/a>. For help after a crash, the firm&#39;s <a class=\"lnk\" href=\"https:\/\/severeinjurylawyers.com\/practice-areas\/car-accident-lawyers\/t-bone-accidents\/\">T bone accident lawyers<\/a> page covers these cases across Texas, with a dedicated page for <a class=\"lnk\" href=\"https:\/\/severeinjurylawyers.com\/practice-areas\/car-accident-lawyers\/t-bone-accidents\/san-antonio\/\">San Antonio T bone accidents<\/a>.<\/p>\r\n            <p>For an example of a side impact case, attorney Laura Rivas secured an <a class=\"lnk\" href=\"https:\/\/severeinjurylawyers.com\/results\/850k-pasadena-red-light-crash-settlement\/\">$850,000 settlement after a Pasadena red light crash<\/a>, in which another driver ran a red light and struck the client&#39;s pickup truck at an intersection. Every case is different. Past results do not guarantee a similar outcome.<\/p>\r\n            <p>This is Edition 1, published <time datetime=\"2026-09-25\">September 25, 2026<\/time>. Planned for Edition 2, with TxDOT&#39;s bulk extract: a crash level side damage measure, vehicle pairs, and occupant position relative to the damaged side. Questions or corrections are welcome through the <a class=\"lnk\" href=\"https:\/\/severeinjurylawyers.com\/contact-us\/\">firm&#39;s contact page<\/a>.<\/p>\r\n\r\n          <\/section>\r\n        <\/div>\r\n      <\/div>\r\n    <\/div>\r\n  <\/div>\r\n\r\n<script>\r\n(function () {\r\n  var bs = document.querySelectorAll('.jalex-study .dl-csv');\r\n  for (var i = 0; i < bs.length; i++) {\r\n    bs[i].addEventListener('click', function () {\r\n      var pre = this.parentNode.querySelector('pre');\r\n      var blob = new Blob([pre.textContent.replace(\/^[ \\n\\r\\t]+\/, '')], { type: 'text\/csv;charset=utf-8' });\r\n      var a = document.createElement('a');\r\n      a.href = URL.createObjectURL(blob); a.download = this.getAttribute('data-file');\r\n      document.body.appendChild(a); a.click();\r\n      setTimeout(function () { URL.revokeObjectURL(a.href); a.remove(); }, 0);\r\n    });\r\n  }\r\n})();\r\n<\/script>\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\">T Bone Crash?<\/span><\/h2>\r\n      <p>If another driver struck the side of your vehicle and you were injured, J. Alexander Law 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) { if (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>Texas registr\u00f3 68 556 choques laterales en 2025, el \u00faltimo a\u00f1o calendario completo analizado. Estas colisiones laterales ocurrieron aproximadamente la mitad de las veces que los choques por alcance, pero su gravedad\u2026<\/p>","protected":false},"author":1,"featured_media":5933,"comment_status":"open","ping_status":"open","sticky":false,"template":"page-templates\/full-width.php","format":"standard","meta":{"_seopress_titles_title":"Texas T Bone Crash Statistics | 2025 Data for 12 Cities","_seopress_titles_desc":"Texas had 68,556 T bone crashes in 2025, with 2,572 people killed or seriously injured. Their serious crash rate was 1.8 times the rear end rate. 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