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Royal Malaysia Police (PDRM) / Department of Statistics Malaysia (DOSM)Values: conviction-backed crime countsIN BRIEF
PUBLIC SAFETY · PDRM · CRIME TYPES
Which crime types appear most often in Malaysia's official series?
Compare the specific violent and property crime types published in PDRM/DOSM's annual police-district crime dataset.
SHOW ME THE DATA2016 → 2023 · conviction-backed crime counts
VIEW DATA ASSame source · different visual lens
2016
1All112.4K
2Theft Vehicle Motorcycle34.8K
3Theft Other22.9K
4Break In18.8K
5Robbery Gang Unarmed10.9K
6Theft Vehicle Motorcar10.6K
7Causing Injury5.5K
8Robbery Solo Unarmed3.5K
9Theft Vehicle Lorry3.0K
10Rape1.9K
11Murder456
12Robbery Gang Armed65
13Robbery Solo Armed19
201620162023
Royal Malaysia Police (PDRM) / Department of Statistics Malaysia (DOSM)Values: conviction-backed crime countsSourceRoyal Malaysia Police (PDRM) / Department of Statistics Malaysia (DOSM) ↗16 Oct 2024 · data through 2023HIGH CONFIDENCE
Method & notes
The leading crime type can change over time, but raw counts should not be read as individual risk without population and exposure context.
METHOD & LIMITATIONSHow the numbers were calculated
PulseKita sums each published crime type across granular police-district rows for every year, excluding national aggregate rows before aggregation.
- Crime-type labels are humanised from the source's published snake_case values.
- The measure is a conviction-backed crime count, not a count of police reports.
- Different offences can have very different reporting and enforcement dynamics.
Evidence trail
EVIDENCE CHAINtransformation inherited from methodology
- 1Primary evidenceCrimes by District & Crime Type
- 2TransformationPulseKita sums each published crime type across granular police-district rows for every year, excluding national aggregate rows before aggregation.
- 3Published visualAnimated race
Source
HIGH CONFIDENCEofficial primary
COVERAGE2016 → 2023
UNITconviction-backed crime counts
SOURCEmachine readable
UPDATED16 Oct 2024 · data through 2023
