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PUBLIC DATA. LOCAL CONTEXT.

Haskell Crash Guide.

Haskell County

Reported crash counts, locations and trends in Haskell.

Records through 2026-09-30 Source: TxDOT public records Prepared 2026-10-17

Choose a period, then select Update guide.

Guide figures: Oct 1, 2025 to Sep 30, 2026. Based on records available through Sep 30, 2026. The map uses a separate calendar year.

Reported crashes30 4 more30 vs. 26
Compared with Oct 1, 2024 to Sep 30, 2025
Fatal crashes0 No change0 vs. 0
Compared with Oct 1, 2024 to Sep 30, 2025
People killed0 No change0 vs. 0
Compared with Oct 1, 2024 to Sep 30, 2025
People seriously injured1 No change1 vs. 1
Compared with Oct 1, 2024 to Sep 30, 2025

30 reported crashes, compared with 26.

Compared with Oct 1, 2024 to Sep 30, 2025. Counts alone do not tell us how risky a trip is.

Explore the data →
KNOW THE PLACE

Getting around Haskell

Haskell is a city in Haskell County, Texas. Include the place and county when looking up local road notices, especially where another Texas community shares the same name. [1]

Location context, separate from the crash analysis below. Local road descriptions are added only after source review.

Local context sources
  1. U.S. Census Bureau · Texas place/county reference (2026)
  2. TxDOT · how to use DriveTexas for current conditions
THE LOCAL PICTURE

Haskell’s crash picture

From Oct 1, 2025 through Sep 30, 2026, the available records include 30 reported crashes in Haskell.

Based on the public TxDOT records included in this guide. Counts describe reported crashes, not risk per trip or why a crash happened. Source, coverage and limitations →

WHERE IT HAPPENS

Explore Haskell’s reported crash locations.

Named areas with the most matching crashes. Choose an area to zoom in.

  1. The ranked areas appear when the map loads.
View the area data ↓

Approximate areas, not verified intersections. The list follows the map filters.

This map uses a calendar year, not the guide’s reporting period. The figures above cover Oct 1, 2025 to Sep 30, 2026 (30 crashes). The count below follows the selected map year and filters.

Loading crash map…

Loading the 2026 map. Records are available through 2026-09-30.

Background map: OpenStreetMap. Map tiles load automatically; your browser sends the provider your IP address and the requested map area.

Map area data & how locations are grouped

Numbers on markers are crash counts. Areas use a 0.002° grid (roughly 180–220 metres across in Texas), not verified intersections. Names use the most common recorded street or intersection-pair label in each area across the loaded history; they are not verified neighborhood boundaries. Several areas may share a road name. Missing-coordinate records remain in the totals.

THE LONGER VIEW

The same month, year over year

Compare seasonal patterns across 2022–2026. Each line is one year. Hollow points and dashed segments mark partial months; gaps are not treated as zero. Historical context stays visible when you change the guide’s reporting period.

20222023202420252026
02457JanFebMarAprMayJunJulAugSepOctNovDecJan 2022: 0 reported crashesFeb 2022: 0 reported crashesMar 2022: 0 reported crashesApr 2022: 0 reported crashesMay 2022: 0 reported crashesJun 2022: 0 reported crashesJul 2022: 1 reported crashAug 2022: 1 reported crashSep 2022: 3 reported crashesOct 2022: 2 reported crashesNov 2022: 2 reported crashesDec 2022: 1 reported crashJan 2023: 1 reported crashFeb 2023: 0 reported crashesMar 2023: 0 reported crashesApr 2023: 0 reported crashesMay 2023: 3 reported crashesJun 2023: 4 reported crashesJul 2023: 1 reported crashAug 2023: 0 reported crashesSep 2023: 2 reported crashesOct 2023: 0 reported crashesNov 2023: 1 reported crashDec 2023: 1 reported crashJan 2024: 5 reported crashesFeb 2024: 1 reported crashMar 2024: 0 reported crashesApr 2024: 1 reported crashMay 2024: 0 reported crashesJun 2024: 0 reported crashesJul 2024: 3 reported crashesAug 2024: 2 reported crashesSep 2024: 1 reported crashOct 2024: 2 reported crashesNov 2024: 0 reported crashesDec 2024: 3 reported crashesJan 2025: 1 reported crashFeb 2025: 1 reported crashMar 2025: 5 reported crashesApr 2025: 1 reported crashMay 2025: 3 reported crashesJun 2025: 1 reported crashJul 2025: 2 reported crashesAug 2025: 3 reported crashesSep 2025: 4 reported crashesOct 2025: 4 reported crashesNov 2025: 2 reported crashesDec 2025: 2 reported crashesJan 2026: 0 reported crashesFeb 2026: 2 reported crashesMar 2026: 2 reported crashesApr 2026: 7 reported crashesMay 2026: 2 reported crashesJun 2026: 4 reported crashesJul 2026: 3 reported crashesAug 2026: 1 reported crashSep 2026: 1 reported crash
View year-over-year monthly data
Reported crashes in the same calendar month across years. * Partial month; — no loaded value.
Month20222023202420252026
Jan01510
Feb00112
Mar00052
Apr00117
May03032
Jun04014
Jul11323
Aug10231
Sep32141
Oct2024—
Nov2102—
Dec1132—
Same-period year-to-date comparison

From January 1 through 2026-09-30, Haskell recorded 22 crashes, compared with 21 over the matching dates a year earlier. That is 4.8% more reported crashes.

WHEN IT HAPPENS

When crashes are reported.

Oct 1, 2025 to Sep 30, 2026 · Known hours only.

Time of day

03512 AM: 1 reported crash12 AM1 AM: 0 reported crashes2 AM: 0 reported crashes3 AM: 0 reported crashes3 AM4 AM: 0 reported crashes5 AM: 1 reported crash6 AM: 1 reported crash6 AM7 AM: 2 reported crashes8 AM: 3 reported crashes9 AM: 2 reported crashes9 AM10 AM: 0 reported crashes11 AM: 0 reported crashes12 PM: 5 reported crashes12 PM1 PM: 4 reported crashes2 PM: 1 reported crash3 PM: 1 reported crash3 PM4 PM: 1 reported crash5 PM: 4 reported crashes6 PM: 2 reported crashes6 PM7 PM: 1 reported crash8 PM: 1 reported crash9 PM: 0 reported crashes9 PM10 PM: 0 reported crashes11 PM: 0 reported crashes
View the data table
Reported crashes by hour
GroupCrashesFatal crashesPeople killedPeople seriously injured
12 AM1000
1 AM0000
2 AM0000
3 AM0000
4 AM0000
5 AM1000
6 AM1000
7 AM2000
8 AM3000
9 AM2000
10 AM0000
11 AM0000
12 PM5000
1 PM4000
2 PM1000
3 PM1000
4 PM1000
5 PM4001
6 PM2000
7 PM1000
8 PM1000
9 PM0000
10 PM0000
11 PM0000

Day of the week

047Sun: 5 reported crashesSun5Mon: 3 reported crashesMon3Tue: 7 reported crashesTue7Wed: 3 reported crashesWed3Thu: 6 reported crashesThu6Fri: 4 reported crashesFri4Sat: 2 reported crashesSat2
View the data table
Reported crashes by weekday
GroupCrashesFatal crashesPeople killedPeople seriously injured
Sun5000
Mon3000
Tue7001
Wed3000
Thu6000
Fri4000
Sat2000

Month by month

0472025-10: 4 reported crashes10/252025-11: 2 reported crashes2025-12: 2 reported crashes12/252026-01: 0 reported crashes2026-02: 2 reported crashes02/262026-03: 2 reported crashes2026-04: 7 reported crashes04/262026-05: 2 reported crashes2026-06: 4 reported crashes06/262026-07: 3 reported crashes2026-08: 1 reported crash08/262026-09: 1 reported crash
View the data table
Reported crashes by month
GroupCrashesFatal crashesPeople killedPeople seriously injured
2025-104000
2025-112000
2025-122000
2026-010000
2026-022000
2026-032000
2026-047000
2026-052000
2026-064001
2026-073000
2026-081000
2026-091000

Selected period; * partial month. Outlined bars mean missing coverage, not zero crashes.

WHO’S INVOLVED

Crashes by road-user involvement.

  • Truck / truck-tractor involved3
  • Commercial vehicle involved2
  • Bicycle involved0
  • Motorcycle involved0
  • Pedestrian involved0

Crash counts, not people. Categories overlap—a crash can appear in more than one group.

View involvement & severity details

People killed or injured are totals for the whole crash, not necessarily people in the named travel mode.

Crash involvement categories; do not sum these rows
GroupCrashesFatal crashesPeople killedPeople seriously injured
Truck / truck-tractor involved3000
Commercial vehicle involved2000
Bicycle involved0000
Motorcycle involved0000
Pedestrian involved0000
WHERE REPORTS CONCENTRATE

Roads with the most reports.

  1. North 1 Street2 crashes
  2. North 1st Street2 crashes
  3. North Avenue D2 crashes
  4. North East Avenue2 crashes
  5. 1st Street1 crash

Oct 1, 2025 to Sep 30, 2026. Counts, not the chance of a crash on a trip. Street-name variants may split the same corridor. Short road labels are expanded for readability; the tables and CSV preserve recorded labels.

View all road rankings
Top 20 reported road labels by crash count
GroupCrashesFatal crashesPeople killedPeople seriously injured
N 1 ST2000
N 1ST ST2000
N AVENUE D2000
N E AVE2001
1ST ST1000
7TH ST1000
AVENUE D1000
KENT KWIK PARKING LOT1000
KENT QWIK1000
N 12TH ST1000
N 13TH ST1000
N 1ST1000
N 1ST ST ALLEY1000
N 1ST ST E US3801000
N 7TH ST1000
N A AVE1000
N AVE C1000
N D AVE1000
N E 1ST ST1000
N L AVE1000
Reported intersection pairs

Only records flagged as intersections with both street names. These are reported labels—not verified geographic intersections.

Top 20 reported street pairs by crash count
GroupCrashesFatal crashesPeople killedPeople seriously injured
1ST ST & AVE L1000
1ST ST & N A AVE1000
7TH ST & N L AVE1000
N 1 ST & N H AVE1000
N 14TH ST & N AVENUE D1000
N 1ST & N D AVE1000
N 1ST ST ALLEY & N AVE EF1000
N 6TH ST & N E AVE1001
S 6TH EAST ST & S AVE B EAST AVE1000
S 6TH ST & S AVE E1000
SOURCE & ATTRIBUTION

Cite this guide.

Using these figures? Keep the reporting period and source with them.

CrashDNA. Haskell Crash Guide. Haskell — Haskell County, Texas. All reported crashes; selected reporting period 2025-10-01–2026-09-30. Analysis of available public Texas Department of Transportation (TxDOT) crash records. Snapshot prepared 2026-10-17. https://crashdna.com/texas/haskell/

You can also select and copy the citation text above. Figures describe available records, not traffic-adjusted risk or independently verified complete reporting.

Methods, definitions and limitations

Haskell city · Haskell County. Reported city code 190; county codes 104. Current Census place identifier 4832696 (2026 reference). These identifiers reconcile the reported source labels, not independently geocoded historical boundaries.

Source: public Texas Department of Transportation (TxDOT) crash records loaded for this publication. Guide focus: All reported crashes. All displayed totals, historical comparisons, maps, rankings and CSV rows use this cohort. Selected reporting period: exact recorded city label HASKELL, Oct 1, 2025 to Sep 30, 2026. Each crash is counted once using its selected current record revision. This is not a metropolitan-area or police-agency-only filter.

Fatal crashes count events; deaths and serious injuries count people. Fatal and serious-injury crash groups use recorded severity codes 4 and 1. A crash can involve multiple vehicle or road-user types. Counts do not control for traffic or pedestrian activity, do not establish fault, and are not crash rates.

In the selected reporting period, 6 records lack usable Texas-range coordinates for Oct 1, 2025 to Sep 30, 2026 (the guide period, not the separate map year); 0 lack a usable hour; 2 lack a usable road label. 20 records are not assigned a usable intersection pair (including non-intersection crashes). Unknown categories remain in totals but not narrative rankings. Coordinates are not independently verified.

Latest 12 months means the latest available calendar month plus the preceding 11 months, clipped to loaded coverage; an unfinished final month is partial. Year to date means January 1 through the latest loaded date in that year, not through today. Historical charts and the map use the wider loaded history (Jan 1, 2022 to Sep 30, 2026); the monthly year-over-year chart shows up to five recent years. Map year, crash-type and outcome filters apply only to the map and its linked area table. Every matching record with coordinates contributes; there is no top-100 cap. Map locations are approximate grid centres, not exact crash sites. Area names use reported road labels, not verified neighborhoods. CSV contains aggregate tables, not individual crash records.

Loaded extraction intervals span the selected period. Source intervals do not guarantee complete reporting. New reports and amendments can change earlier months. Prepared 2026-10-17T22:15:25.855Z. Approved snapshots change only after an editor publishes an update.

Source extraction intervals
  • 2022-01-01 – 2022-03-01 · extracted 20260910100040
  • 2022-03-02 – 2022-04-26 · extracted 20260910100040
  • 2022-04-27 – 2022-06-22 · extracted 20260910100040
  • 2022-06-23 – 2022-08-22 · extracted 20260910100040
  • 2022-08-23 – 2022-10-16 · extracted 20260910100040
  • 2022-10-17 – 2022-12-08 · extracted 20260910100040
  • 2022-12-09 – 2022-12-31 · extracted 20260910100040
  • 2023-01-01 – 2023-02-27 · extracted 20260910100112
  • 2023-02-28 – 2023-04-24 · extracted 20260910100112
  • 2023-04-01 – 2023-04-24 · extracted 20260910100112
  • 2023-04-25 – 2023-06-19 · extracted 20260910100112
  • 2023-06-20 – 2023-08-17 · extracted 20260910100112
  • 2023-08-18 – 2023-10-12 · extracted 20260910100112
  • 2023-10-13 – 2023-12-05 · extracted 20260910100112
  • 2023-12-06 – 2023-12-31 · extracted 20260910100112
  • 2024-01-01 – 2024-02-29 · extracted 20260828124847
  • 2024-03-01 – 2024-04-26 · extracted 20260828124847
  • 2024-04-27 – 2024-06-22 · extracted 20260828124847
  • 2024-06-23 – 2024-08-22 · extracted 20260828124847
  • 2024-08-23 – 2024-10-16 · extracted 20260828124847
  • 2024-10-17 – 2024-12-09 · extracted 20260828124847
  • 2024-12-10 – 2024-12-31 · extracted 20260828124847
  • 2025-01-01 – 2025-03-05 · extracted 20260910100224
  • 2025-03-06 – 2025-05-01 · extracted 20260910100224
  • 2025-05-02 – 2025-06-29 · extracted 20260910100224
  • 2025-06-30 – 2025-08-29 · extracted 20260910100224
  • 2025-08-30 – 2025-10-23 · extracted 20260910100224
  • 2025-10-24 – 2025-12-16 · extracted 20260910100224
  • 2025-12-17 – 2025-12-31 · extracted 20260910100224
  • 2026-01-01 – 2026-03-03 · extracted 20260910100333
  • 2026-03-04 – 2026-04-30 · extracted 20260910100333
  • 2026-05-01 – 2026-06-27 · extracted 20260910100333
  • 2026-06-28 – 2026-08-29 · extracted 20260910100333
  • 2026-08-30 – 2026-08-31 · extracted 20260910100333
  • 2026-09-01 – 2026-09-30 · extracted 20261010194744

Download selected-period CSV · Download all-history CSV

CSV download
A table file you can open in a spreadsheet. Downloads contain grouped counts, not individual crash reports.
Crash count versus risk
A count tells you how many crashes were reported. Without knowing how much people drove, walked or cycled, it cannot tell you how likely a crash was on a trip.
Location identifiers and severity codes
These are source-system labels used to match places and classify recorded outcomes. They are not independent proof of a city boundary or the cause of a crash.
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Public records. A clearer local picture.

Explore the patterns in another Texas community.

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