Oakville Vehicle Thefts Stats and Maps

Oakville Vehicle Thefts Stats and Maps
Oakville Vehicle Thefts Stats and Maps
Takeaways:
  • Over 600 vehicle thefts were reported across Oakville between May 2024 and May 2025.
  • Cornwall Rd is the top hotspot, with nearly 200 thefts—over 30% of all incidents.
  • High-activity roads include Speers Rd, Trafalgar Rd, and Dundas St W, reflecting exposure along busy streets and commercial corridors.
  • Early morning hours (5:00–7:00 AM) are the most common time for thefts, suggesting crimes occur when streets are quiet and vehicles unattended.
  • Thefts occur year-round, with no major seasonal drops, though summer months show slightly higher counts.

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.

Statistics

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.

Geographic Distribution

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 NameIncidentsPercent
CORNWALL RD195
32.28%
SPEERS RD167
27.65%
TRAFALGAR RD159
26.32%
DUNDAS ST W156
25.83%
BRONTE RD149
24.67%
DORVAL DR140
23.18%
LAKESHORE RD W125
20.70%
CROSS AV117
19.37%
DUNDAS ST E117
19.37%
WYECROFT RD101
16.72%
KERR ST86
14.24%
HAYS BV77
12.75%

Temporal Trends

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 DateIncidentsPercent
2025-0533
5.46%
2025-0446
7.62%
2025-0338
6.29%
2025-0237
6.13%
2025-0150
8.28%
2024-1240
6.62%
2024-1137
6.13%
2024-1038
6.29%
2024-0941
6.79%
2024-0854
8.94%
2024-0763
10.43%
2024-0636
5.96%

Time of Day

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 HourIncidentsPercent
0651
8.44%
0847
7.78%
0546
7.62%
0744
7.28%
0341
6.79%
0137
6.13%
0429
4.80%
0227
4.47%
2326
4.30%
0925
4.14%
1124
3.97%
0024
3.97%

Dataset

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.

Dataset Information

SubjectSafety
JurisdictionTown of Oakville, Province of Ontario
Data ProviderHalton Regional Police Service, Town of Oakville
Sourcehttps://portal-exploreoakville.opendata.arcgis.com/