| Literature DB >> 31667222 |
Hashom Mohd Hakim1,2, Hussein Omar Khan1, Hafezul Helmi Hamzah3, Mohammad Faiz Othman3, Bryan Raveen Nelson4, Geoffrey Keith Chambers5, Hisham Atan Edinur4,6,7, Mohd Tajuddin Abdullah4,8, Nur Syahmina Rasudin6.
Abstract
This article provides violent crime data in Malaysia from 2006 to 2017. The violent crimes include murder, rape, gang robbery, robbery and voluntarily causing hurt cases. A total of 330,395 violent crime cases were reported in this 12 year period and the data were tabulated state by state for all thirteen states of Malaysia, including two states in Borneo (Sabah and Sarawak) and one federal territory (Kuala Lumpur). In general, violent crimes show a decreasing trend from 2006 to 2017 in Malaysia. However, armed gang robbery and armed robbery show a fluctuating pattern from 2008 to 2011. A similar pattern was also recorded for unarmed gang robbery from 2008 to 2010. The violent crime data deposited here are available for further analysis, e.g., for identifying risk factors such as demography, lifestyle, socio-economic status, government policies etc. which may be associated with violent crime incidence and pattern across the country.Entities:
Keywords: Crime incidence; Crime pattern; Malaysia; Violent crime
Year: 2019 PMID: 31667222 PMCID: PMC6811922 DOI: 10.1016/j.dib.2019.104449
Source DB: PubMed Journal: Data Brief ISSN: 2352-3409
Definition of each type of violent crimes.
| Type | Definition |
|---|---|
| Murder | Is defined and classified based on Section 300 Penal Code (Act 574), Laws of Malaysia: |
| Rape | Is defined and classified based on Section 375 Penal Code (Act 574), Laws of Malaysia: |
| Robbery | Is defined and classified based on Section 390 Penal Code (Act 574), Laws of Malaysia: |
| Gang robbery | Is defined and classified based on Section 391 Penal Code (Act 574), Laws of Malaysia: |
| Gang robbery/robbery (unarmed) | Is defined and classified based on Section 392-394 Penal Code (Act 574), Laws of Malaysia: |
| Gang robbery/robbery (armed) | Is defined and classified based on Section 391 Penal Code (Act 574), Laws of Malaysia: |
| Voluntarily causing hurt | Is defined and classified based on Section 320-338 Penal Code (Act 574), Laws of Malaysia: |
Fig. 1The pattern of murder cases for 12 years.
Fig. 2The pattern of rape cases for 12 years.
Fig. 3The pattern of armed gang robbery cases for 12 years.
Fig. 4The pattern of unarmed gang robbery cases for 12 years.
Fig. 5The pattern of armed robbery cases for 12 years.
Fig. 6The pattern of unarmed robbery cases for 12 years.
Fig. 7The pattern of voluntarily causing hurt cases for 12 years.
Specification Table
| Subject area | Social science |
| More specific subject area | Criminology |
| Type of data | Tables and figures |
| How data were acquired | Violent crime data were obtained from Police Reporting System (PRS) with written permission from Inspector General of Police, Malaysia. Data reported here were previously used to highlight the importance of DNA databanking in Malaysia |
| Data format | Raw and analysed |
| Experimental factors | Violent crime data from 2006 to 2017. |
| Experimental features | Reported murder, rape, gang robbery (armed and unarmed), robbery (armed and unarmed) and voluntarily causing hurt cases state-wide by year |
| Data source location | Kuala Lumpur, Malaysia |
| Data accessibility | Data are within the article |
| Related research article | H.M. Hakim, J. Lalung, H.O. Khan, N.R. Khaw, S. Narayanen, G. K. Chambers, H.A. Edinur, Experiences, challenges and the future direction of forensic DNA data banking in Malaysia, JSSM, 14 (2) (2019) 127–141 |
This article brings together for the first time violent crime data in Malaysia from 2006 to 2017 and are important source of information for readers to learn trends of violent crimes in the country. Violent crime patterns highlighted here are highly relevant and valuable to law enforcement agencies and can be used by them as a reference to design and improve their crime prevention programmes The violent crime datasets deposited here can further be examined by other researchers (e.g., by looking at crime rates and patterns in relation to socio-economic factors such as employment rate, lifestyle and gross domestic product) |