Oakville Hit and Run Incidents Stats and Maps
This dashboard provides a detailed view of 947 hit-and-run collisions reported in Oakville between May 2024 and August 2025. It includes insights on the locations where incidents occur, the times of day they are most frequent, and month-to-month trends. Use the filters to explore patterns and identify traffic safety priorities across the town.
- Major arterial roads such as Dundas St W, Trafalgar Rd, and Hays Blvd account for the highest number of hit-and-run incidents.
- Spring months (particularly May) show peaks in collisions, aligning with seasonal increases in traffic.
- Late afternoon and evening (4 PM–11 PM) are the riskiest hours for hit-and-run incidents.
- Incidents are concentrated on busy traffic corridors, highlighting areas where targeted enforcement could reduce collisions.
- Early morning and overnight hours see far fewer incidents, suggesting time-of-day patterns strongly influence risk.
Statistics & Charts
Summary
This dataset tracks just under 950 hit-and-run collisions reported in Oakville between May 2024 and August 2025. It provides a detailed view of where collisions occur, the times of day they are most likely, and monthly trends, offering insight into traffic safety concerns and enforcement priorities.
Geographic Distribution
Temporal Trends
Time of Day
Search
| Case Number | Location | Incident Date | Street Name |
|---|---|---|---|
| 202500376464 | CORNWALL RD | 2025-12-19 16:39:00 | CORNWALL RD |
| 202500365307 | JONES ST | 2025-12-02 13:00:00 | JONES ST |
| 202500352628 | SIXTH LI | 2025-11-24 12:54:35 | SIXTH LI |
| 202500374543 | SOUTH SERVICE RD W | 2025-12-03 21:00:00 | SOUTH SERVICE RD W |
| 202500353681 | DORVAL DR | 2025-11-25 15:38:33 | DORVAL DR |
| 202500359358 | DUNDAS ST E | 2025-12-01 23:40:00 | DUNDAS ST E |
| 202500343786 | LEIGHLAND AV | 2025-11-14 17:30:00 | LEIGHLAND AV |
| 202500378202 | HAYS BV | 2025-12-21 19:43:07 | HAYS BV |
| 202500355537 | SPEERS RD | 2025-11-26 19:07:00 | SPEERS RD |
| 202500365697 | BRONTE RD | 2025-12-08 19:00:00 | BRONTE RD |
| 202500380069 | WINSTON PARK DR | 2025-12-23 22:21:51 | WINSTON PARK DR |
| 202500354730 | SPEERS RD | 2025-11-26 16:30:00 | SPEERS RD |
| 202500340955 | SPEERS RD | 2025-11-11 19:08:00 | SPEERS RD |
| 202500360718 | RIDGE LG | 2025-12-02 22:30:00 | RIDGE LG |
| 202500348415 | HOSPITAL GT | 2025-11-17 20:45:00 | HOSPITAL GT |
| 202500369386 | POST RD | 2025-12-12 14:15:00 | POST RD |
| 202500351258 | DUNDAS ST E | 2025-11-22 02:00:00 | DUNDAS ST E |
| 202500343589 | OAK PARK BV | 2025-11-13 14:30:00 | OAK PARK BV |
| 202500379757 | FORD DR | 2025-12-23 15:29:59 | FORD DR |
| 202500362193 | MAPLE GROVE DR | 2025-11-29 16:00:00 | MAPLE GROVE DR |
| 1,165 rows found, showing 20. | |||
About This Dataset
This dataset comprises 947 hit-and-run reports recorded in Oakville over a 16-month period. It highlights traffic-related crime specifically focused on collisions where drivers left the scene.
Incidents are concentrated along major roads such as Dundas St W (52 reports), Trafalgar Rd (50), and Hays Blvd (42). Other corridors including North Service Rd W, Cross Ave, Speers Rd, and Kerr St also experience elevated activity, reflecting high-traffic areas where collisions are more likely.
Monthly trends are relatively steady, with totals ranging from about 40 to 80 collisions per month. Peaks occurred in May 2025 (79 reports) and May 2024 (69 reports), suggesting increased risk during spring months, likely due to higher traffic volumes and seasonal activity patterns.
Time-of-day analysis shows a clear concentration in the late afternoon and evening hours. The highest number of incidents occurred at 8:00 PM (90 reports), followed closely by 6:00 PM (88) and 7:00 PM (84). Peak activity from 4:00 PM to 11:00 PM coincides with heavy traffic periods, whereas overnight and early morning hours report far fewer incidents.
Overall, this dataset provides actionable insights into hit-and-run patterns, emphasizing high-risk roads and times, which can inform traffic enforcement and community safety strategies.
Dataset Information
| Subject | Safety |
|---|---|
| Jurisdiction | Town of Oakville, Province of Ontario |
| Data Provider | Halton Regional Police Service, City of Oakville |
| Source | https://portal-exploreoakville.opendata.arcgis.com/ |
| Attribution | - |