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Royal Malaysia Police (PDRM) / Department of Statistics Malaysia (DOSM)Nilai: conviction-backed crime countsRINGKASNYA
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.
DALAM ANGKA2016 → 2023 · conviction-backed crime counts
LIHAT DATA SEBAGAICarta lain untuk data yang sama
PULSEKITA PERLUMBAAN DATA2016 — 2023
SumberRoyal Malaysia Police (PDRM) / Department of Statistics Malaysia (DOSM)
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)Nilai: conviction-backed crime countsSumberRoyal Malaysia Police (PDRM) / Department of Statistics Malaysia (DOSM) ↗16 Oct 2024 · data through 2023SUMBER KUKUH
Kaedah & nota
The leading crime type can change over time, but raw counts should not be read as individual risk without population and exposure context.
CARA KIRA & BATASANBagaimana angka ini dikira
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.
Jejak bukti
SUMBER & CARA KIRAcara kira ikut metodologi
- 1Sumber utamaCrimes by District & Crime Type
- 2Cara kiraPulseKita sums each published crime type across granular police-district rows for every year, excluding national aggregate rows before aggregation.
- 3PaparanPerlumbaan data
Sumber
SUMBER KUKUHsumber rasmi
TEMPOH2016 → 2023
UNITconviction-backed crime counts
SUMBERdata berstruktur / API
DIKEMAS KINI16 Oct 2024 · data through 2023