This dataset captures 604 reported vehicle thefts across Oakville from May 2024 to May 2025. It includes breakdowns by street name, incident date, and hour of day—helping identify geographic clusters, seasonal fluctuations, and time-based trends in vehicle-related crime.
Thefts are highly concentrated on a handful of major roads. Cornwall Rd alone accounts for over 190 incidents, with Speers Rd, Trafalgar Rd, and Dundas St W also showing frequent activity. These streets likely represent high-traffic or high-visibility areas where vehicles are commonly parked or targeted.
Monthly trends show relatively even distribution of thefts throughout the year, with modest increases in July and August 2024. Early 2025 continues this pattern, suggesting little seasonal drop-off. Time-of-day analysis reveals thefts are most likely to occur in the early morning—particularly between 5:00 AM and 7:00 AM—with notable activity overnight as well.
Taken together, this dataset sheds light on the timing and location of vehicle theft across Oakville, offering residents, law enforcement, and policymakers actionable intelligence on where resources and attention may be best focused.
This dataset captures approximately 600 vehicle theft incidents reported in Oakville. It breaks down theft occurrences by street location, month, and time of day, offering a detailed view into when and where these crimes are happening. The data reflects both patterns of opportunistic theft and geographic hot spots within the town.
Vehicle thefts are heavily concentrated on a few key roads. Cornwall Rd stands out with nearly 200 incidents, followed by Speers Rd (170), Trafalgar Rd (160), and Dundas St W (160). High-traffic thoroughfares like Bronte Rd, Dorval Dr, and Lakeshore Rd W also report significant theft activity. This suggests a strong correlation between vehicle theft and major transit or commercial corridors.
Street Name | Incidents | Percent |
---|---|---|
CORNWALL RD | 195 | 32.28% |
SPEERS RD | 167 | 27.65% |
TRAFALGAR RD | 159 | 26.32% |
DUNDAS ST W | 156 | 25.83% |
BRONTE RD | 149 | 24.67% |
DORVAL DR | 140 | 23.18% |
LAKESHORE RD W | 125 | 20.70% |
CROSS AV | 117 | 19.37% |
DUNDAS ST E | 117 | 19.37% |
WYECROFT RD | 101 | 16.72% |
KERR ST | 86 | 14.24% |
HAYS BV | 77 | 12.75% |
Thefts occur consistently throughout the year with some fluctuation. Summer months like July and August 2024 show the highest activity, with 60+ thefts each. Winter months like February and March 2025 are slightly lower but still active, each seeing around 35–40 cases. The trend suggests thefts are not heavily seasonal but may slightly increase in warmer months.
Incident Date | Incidents | Percent |
---|---|---|
2025-05 | 33 | 5.46% |
2025-04 | 46 | 7.62% |
2025-03 | 38 | 6.29% |
2025-02 | 37 | 6.13% |
2025-01 | 50 | 8.28% |
2024-12 | 40 | 6.62% |
2024-11 | 37 | 6.13% |
2024-10 | 38 | 6.29% |
2024-09 | 41 | 6.79% |
2024-08 | 54 | 8.94% |
2024-07 | 63 | 10.43% |
2024-06 | 36 | 5.96% |
Thefts are most common in the early morning hours. 6 AM has the most reports at around 50 incidents, followed closely by 5–8 AM. Late night hours like 1 AM–4 AM also show elevated numbers. Daytime hours see fewer cases, indicating that vehicle thefts often occur under the cover of darkness or during quiet early hours.
Incident Hour | Incidents | Percent |
---|---|---|
06 | 51 | 8.44% |
08 | 47 | 7.78% |
05 | 46 | 7.62% |
07 | 44 | 7.28% |
03 | 41 | 6.79% |
01 | 37 | 6.13% |
04 | 29 | 4.80% |
02 | 27 | 4.47% |
23 | 26 | 4.30% |
09 | 25 | 4.14% |
11 | 24 | 3.97% |
00 | 24 | 3.97% |
604 rows found, 50 shown.
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This dashboard provides an in-depth look at over 600 reported vehicle theft incidents in Oakville between May 2024 and May 2025. It breaks down when and where thefts occurred—by street, month, and time of day—offering insight into theft patterns across neighborhoods and timeframes. Use the filters to explore trends, hotspots, and possible times of increased risk.
Subject | Safety |
Jurisdiction | Town of Oakville, Province of Ontario |
Data Provider | Halton Regional Police Service, Town of Oakville |
Source | https://portal-exploreoakville.opendata.arcgis.com/ |