Identify your Local Council RISC status.
How does the area you live in fare?
Is it a safe haven or a hotspot for offenders?




Crime Related Publications

The Department of Criminology within the Faculty for Social Wellbeing has concluded a 3-year study of Crime in Malta and Sicily as an expansion on the research that was carried out and is updated by Dr Saviour Formosa of CrimeMalta.

As part of the outputs, 3 publications (2 focusing on the the outcomes from the project and one on theoretical issues in Criminology).

Realities of Crime, Society and Landuse in the Mediterranean: JANUS I
Indicators for Crime Prevention in the Mediterranean: JANUS II
Key Issues in Criminology: JANUS III

Books can be downloaded from the link below.

JANUS Publications



Prison Statistics

Prison Population Receding Slowly


Click on the Image to access the Prisons Statistics Page




RISC Model: League Tables for 2013

As part of a review of RISC Modelling for the Maltese Islands, a number of analytical studies have been carried out for the period between 1998 and 2013.

Grand Total Offences:

In terms of Grand Total Offences, San Giljan takes the perennial top of the League, hosting over 5 times the national rate of offences, which is calculated as the observed offences as against those which should potentially occur in those areas under study. At a rate between twice and 5 times the national rate, Bormla followed a close second at 2-5 times the national rate, which group also holds Floriana, Mdina and Valletta.

At a rate between the national up to twice that rate one can find Sliema, San Pawl il-Bahar, Msida, Birgu, Gzira, Marsa, Ta' Xbiex, Gudja, Zebbug (Ghawdex) which includes Marsalforn, Birzebbugia, Mellieha, Paola and Marsaxlokk. Interestingly San Pawl il-Bahar, has for the first time since 1998, become a safer place in terms of reported grand total crimes, having moved down 1 RISC category, having always fallen within the 2x to 5x RISC.

All the Other Councils host a lower that national rate, albeit none have a Zero Risk.

Theft from Residences:

San Giljan, Swieqi, Pembroke and Msida host a 2 to 5 times the national risk rates, rendering them the most risky places to live in. In contrast, Ghasri, San Lawrenz, Mdina and Fontana registered zero residential offences in 2013.

Theft of and from Vehicles:

Floriana has taken the top spot of the League, hosting over 5 times the national rate of offences. San Giljan and Gudja in turn gauge the highest risk areas where one's car could be vandalised, broken into and/or stolen, which towns host between 2 & 5 times. At the other end of the scale, Ghasri, Kercem and Fontana zero vehicle-related offences.

The results shown hereunder review the three specific crime categories through a comparitive approach across the years. Data from 1998 to 2013 cab be reviewed through the submenu below.


Grand Total

Theft from Residences

Theft Of or From Vehicles

Click on the menu or the Images above to access the individual theme
RISC 1998-2013 Statistics Pages

Click on the Image above to access the Summary RISC 1998-2013
Grand Total Statistics Page



Interactive CrimeMaps: 2013

The results are also published as a series of Interactive Crimemaps using high-end technology called Spatial Information Systems which allow users to generate their own maps on dangerousness and safety. The data is published for the three crime categories detailed above and at District or Local Council levels.

RISC Model Map: District - 2013

RISC Model Map: Local Councils - 2013

Click on the Images to access the Interactive Maps


CrimeMalta Background

The CrimeMalta Website brings you real crime analysis based on 16 years of research. In a study initiated in 1997, crimes from 1950 to date have been geocoded and digitised to help create analytical tables and charts that are easy to understand and review.

Using state-of-the-art technology (GIS - Geographical or Spatial Information Systems), crime reported to the Malta Police Force since 1998 have been mapped based on the offence location. This process enables spatio-temporal analysis of crimes in Malta by the location they occur in, when they are committed and the potential link to the place they occur in.

A Web-GIS of Maltese Crime will enable users to browse and print maps of crime at different spatial layers such as districts and local councils as based on the NUTS (administrative units classification) nomenclature. Smaller units have been analysed foremost amongst which are enumeration areas as identified by Census.

Another feature developed in this site concerns the CRISOLA and RISC Models, the former giving methodological substance to crime and space, whilst the dynamic RISC Model enables the creation of a league table of local councils as they experience offence reporting over time. Outputs at annual and monthly by crime categories will be reviewed. More detailed RISC information is available on request.

In addition, statistical and spatio-statistical outputs will be generated. The map below shows such a map based on crime locations reported in the Grand Harbour and the results of a method called clustering analysis that shows the major hotspots of crime in the region.

Visitors to this site are encouraged to subscribe to our newsletter informing them of new occurrences and information relative to crime trends in the Maltese Islands.