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Published:  2014-12-26 Views:  926
Author:  karelnel
Published in:  Security/Sekuriteit
Crime Statistics For Harties Up To 2013 - Part 4

Harties Crime Statistics up to 2013 – Part 4

 

On national level the SAPS issue a consolidated database of crime statistics every year towards the end of September. It is normally an event that is used by the police to try and prove how well they have performed, and the opposition to prove how they have lied with statistics! The information, especially if rationally further studied, can be a great force-multiplier in the fight against crime – yet very few people, including most policemen, do not know HOW to use such info properly.

This article, as part of a series, portrays such information for Harties, North West Province and the Republic of South Africa, just to start giving the reader an understanding of the magnitude and trends of crime in our area, relative to those in the province and country.

Four types of crime, as used by the SAPS in their classification, are shown below – the rest will follow in subsequent articles. The numbering proceeds from the previous articles.

9.  MALICIOUS DAMAGE TO PROPERTY:

Figure 9a: Hartbeespoortdam                             

Fig 9b: North West Province                      

Fig 9c: Republic of South Africa

The data for hartbeespoort indicates a steady growth in this type of crime, showing that it has not been brought under control. An analysis of what type of properties are normally damaged may lead to actions that can effectively curb this type of crime. It is unclear whether proper distinction was made between this category and general theft – eg. The theft of gate motors in Schoemansville.

10.  BURGLARY - NON RESIDENTIAL:

Figure  10 a: Hartbeespoortdam

Figure 10 b: North West Province

Figure 10c: Republic of South Africa

Despite the strong decline for Hartbeespoort since 2008/09 it may seem that the underlying trend is still increasing. It may be that effective measures were introduced in 2008/09 but may have lost effectiveness now. An analysis should be made to determine at what times during the day/ night this crime is perpetrated and whether hot spots can be identified.

11.  BURGLARY - RESIDENTIAL:

Figure 11a: Hartbeespoortdam                             

Fig 11b: North West Province           

Fig 11c: Republic of South Africa

This trend is strongly downward for Hartbeespoort and may be partly due to the functioning of Community Safety Structures since 2009.

12. THEFT OF MOTOR VEHICLES AND MOTORCYCLES:

Figure 12a: Hartbeespoortdam

Figure 12b: North West Province

Figure  12c:  Republic of South Africa

It seems that the SAPS may have measures in place that have arrested the strong growth in this type of crime. The functioning of the CSS during the night in the residential areas may very well also be a contributing factor. An analysis of the time of day when these crimes take place may be very insightful.

 

CONCLUSION:

As the figures published are only ANNUAL figures, they will only show MACROTRENDS. The database is however the product of hundreds of thousands elements of information that are collected on a daily basis all over the country and then fed into the crime management database. If these supporting data elements could be processed properly on a weekly and monthly basis, much more valuable conclusions can be drawn, and acted upon. The police is however very reluctant to share such information. Anybody that have attended a CPF meeting in Hartbeespoort will know that the SAPS at the meeting discharges their responsibility of giving statistical information to the public by merely citing, for the most important categories of crime, the figures for the past month or two, in comparison with the same period the previous year – on many occasions drawing incorrect conclusions about increases/ decreases that are statistically insignificant. Pleas to have more sensible and scientific based information reporting has fallen on deaf ears.

Following articles will further expand on the SAPS public domain data published for the period up to 2013.

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KPJ Nel

2014-12-26


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