Vehicle Theft Rate by Country (per 100,000 People): Global Comparison, 2025 Edition
Overview
This page compares reported motor vehicle theft intensity across countries using a population-normalised rate: cases per 100,000 people. The purpose is practical: to help interpret risk exposure for households, insurers, fleet operators, and city safety planning.
Reported theft rates are shaped by both real-world theft activity and measurement factors such as reporting behaviour, legal definitions, counting rules, and enforcement priorities. Comparisons work best as a structured snapshot rather than a final verdict.
Key takeaways
- Rates can differ sharply between countries, reflecting both theft pressure and how consistently incidents are recorded.
- Very high values often point to concentrated hotspots, strong reporting/recording, or a specific offence definition.
- Low values can mean lower theft intensity, but can also reflect under-reporting or narrow legal classification.
- Using “per 100,000 people” supports cross-country comparison, but it is not the same as “per 100,000 vehicles”.
- For decision-making, combine this metric with ownership intensity, urban concentration, and recovery/clearance signals.
Metric cards
Table 1 — Highest reported motor vehicle theft rates
Ranked by reported cases per 100,000 population (latest year shown per country in the dataset).
| Rank | Country | Theft rate (per 100,000) |
|---|
Bar chart — Top 20 by theft rate
Full ranking
The list below orders countries/territories by reported motor vehicle theft rate (cases per 100,000 population). “Year” is shown inside the mobile cards.
| Rank | Country | Theft rate (per 100,000) |
|---|
Table 2 — Lowest reported theft rates
Countries/territories with the lowest reported values in the dataset (including zeros where reported).
| Rank | Country | Theft rate (per 100,000) |
|---|
Table 3 — Theft rate vs. congestion (urban stress proxy)
A small sample linking country-level theft rates to a representative city congestion metric (average travel time per 10 km). This is an illustrative comparison and should not be read as a causal claim.
| Country | Theft rate (per 100,000) | Travel time per 10 km (min) |
|---|
Scatter — theft rate vs. travel time per 10 km (sample)
Correlation view (non-causal)
Congestion can proxy urban stress, vehicle density, and time spent in traffic, which may affect exposure to theft opportunities. At the same time, reporting intensity, policing practices, and the prevalence of off-street parking can dominate the observed rate. Use this as a lens for questions to investigate, not as a direct “cause and effect” map.
Why this metric matters
- Household risk planning: theft pressure influences parking choices, vehicle security upgrades, and behavioural precautions.
- Insurance pricing signals: theft intensity is often reflected in premiums, deductibles, and underwriting rules for specific vehicle types.
- Fleet operations: delivery vans and service vehicles are exposed differently depending on stop frequency, dwell time, and storage practices.
- Urban safety strategy: hotspots often cluster around transport nodes, poorly lit corridors, and high-turnover parking zones.
Data caveats
- Definitions differ: “motor vehicle theft” may include broader categories in some systems, while others split offences (e.g., private car theft vs. other vehicles).
- Counting rules differ: incident-based vs. victim-based recording, attempted theft inclusion, and reclassification can shift the rate.
- Reporting behaviour differs: insurance requirements and trust in policing can raise reporting even if underlying theft pressure is stable.
- Population-based normalisation: per-population rates are comparable across countries, but do not adjust for ownership levels or vehicle stock.
For a rounded view, pair this page with ownership intensity and a traffic/urban stress indicator. Differences in measurement can be as important as differences in behaviour.
Methodology
The ranking sorts countries/territories by the reported motor vehicle theft rate (cases per 100,000 population) as presented in the compiled source table. Values are used as published; no gap-filling is performed. Where the source table includes different reference years across countries, the year is retained per entry.
Related indicators
Sources
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Motor vehicle thefts by country (compiled table)
Used here as a structured, country-by-country extract with rates per 100,000 population and a stated reference year per entry.
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UNODC Data Portal (crime and criminal justice statistics)
Underlying source family referenced by the compiled table for cross-country theft statistics.
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TomTom Traffic Index (city congestion metrics)
Used for the illustrative congestion comparison (average travel time per 10 km for a representative city).
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StatRanker: Traffic congestion ranking (2025 edition)
Country mapping for the sample congestion comparison is taken from the cities list shown on this page.
Download: Vehicle Theft Rate (per 100,000) — 2025 Tables & Charts
ZIP archive with CSV tables (full ranking + extracts), an Excel workbook, and PNG charts used on this page.
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