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FREE STATE PROVINCE - PERFORMANCE REVIEW 2010-2011 LIEUTENANT GENERAL SITOLE PRESENTATION TO THE PORTFOLIO COMMITTEE.

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Presentation on theme: "FREE STATE PROVINCE - PERFORMANCE REVIEW 2010-2011 LIEUTENANT GENERAL SITOLE PRESENTATION TO THE PORTFOLIO COMMITTEE."— Presentation transcript:

1 FREE STATE PROVINCE - PERFORMANCE REVIEW LIEUTENANT GENERAL SITOLE PRESENTATION TO THE PORTFOLIO COMMITTEE

2 CONTENTS 2 1. Provincial profile 2. Performance overview 2010 – Performance challenges 4. Border Policing, hot spots and challenges 5. Intervention Strategies 6. Current situation (September to December 2011

3 Provincial Profile 3 Size square kilometres Number of Police Stations110 Number of active satellites27 Number of Clusters18 Population (mid – year estimates 2010) Total Establishment (31 March 2011) SAPS Act9 739 PSA2242 Police / population ratio1 : 283 Classified High Contact Crime Stations 13 Presidential Station1 (Thabong) Presidential Node1 (Qwa Qwa - )

4 PERFORMANCE OVERVIEW

5 PROVINCIAL PICTURE TOTAL FOR CRIME CATEGORIES Crime CategoryAPRIL - MARCH Crime Category2009/ /2011CASE DIFF% DIFF CONTACT CRIMES % PROPERTY RELATED CRIMES % CRIMES DEPENDENT ON POLICE ACTION % CONTACT RELATED CRIMES % OTHER SERIOUS CRIMES %

6 6 Crime CategoryAPRIL - MARCH Crime Category2009/ /2011CASE DIFF% DIFF Murder % Attempted murder % Rape % Sexual Assault % Contact Sexual Offences % Attempted Sexual Offences % Sexual Offences: As result of Police action000#DIV/0! Assault with the intent to inflict grievous bodily harm % Common assault % Robbery with aggravating circumstances % Common robbery % CONTACT CRIMES % CONTACT CRIMES

7 Contributing Clusters 7 CLUSTER /STATIONAPRIL - MARCH CLUSTER/STATION2009/ /2011CASE DIFF% DIFF MANAGUNG CLUSTER % THABONG CLUSTER % WELKOM CLUSTER % SELOSESHA CLUSTER % PHUTHADITJHABA CLUSTER % PARKWEG CLUSTER % BULTFONTEIN CLUSTER % KROONSTAD CLUSTER % BETHLEHEM CLUSTER % SASOLBURG CLUSTER % TUMAHOLE CLUSTER % FICKSBURG CLUSTER % SMITHFIELD CLUSTER % TROMPSBURG CLUSTER % KOFFIEFONTEIN CLUSTER % LADYBRAND CLUSTER % MAFUBE CLUSTER % VREDE CLUSTER %

8 Contributing Stations 8 CLUSTER/STATIONCrime CategoryAPRIL - MARCH CLUSTER/STATIONCrime Category2009/ /2011 CASE DIFF % DIFF PARKWEGCONTACT CRIMES % BLOEMSPRUITCONTACT CRIMES % THABONGCONTACT CRIMES % KAGISANONGCONTACT CRIMES % SASOLBURGCONTACT CRIMES % BETHLEHEMCONTACT CRIMES % BOITHUSOCONTACT CRIMES % BOTSHABELOCONTACT CRIMES % WELKOMCONTACT CRIMES % MANGAUNGCONTACT CRIMES %

9 PROPERTY RELATED CRIMES 9 Crime CategoryAPRIL - MARCH Crime Category2009/ /2011CASE DIFF% DIFF Burglary at residential premises % Burglary at business premises % Theft of motor vehicle and motorcycle % Theft out of or from motor vehicle % Stock-theft % PROPERTY RELATED CRIMES %

10 Contributing Clusters 10 CLUSTERAPRIL - MARCH CLUSTER2009/ /2011CASE DIFF% DIFF PARKWEG CLUSTER % MANAGUNG CLUSTER % PHUTHADITJHABA CLUSTER % WELKOM CLUSTER % SELOSESHA CLUSTER % BETHLEHEM CLUSTER % THABONG CLUSTER % BULTFONTEIN CLUSTER % KROONSTAD CLUSTER % SASOLBURG CLUSTER % FICKSBURG CLUSTER % TUMAHOLE CLUSTER % SMITHFIELD CLUSTER % LADYBRAND CLUSTER % VREDE CLUSTER % MAFUBE CLUSTER % TROMPSBURG CLUSTER % KOFFIEFONTEIN CLUSTER %

11 Contributing Stations 11 STATIONAPRIL - MARCH STATION2009/ /2011CASE DIFF% DIFF PARKWEG % WELKOM % SASOLBURG % BETHLEHEM % HARRISMITH % KAGISANONG % BLOEMSPRUIT % PHUTHADITJHABA % THABONG % MANGAUNG %

12 CRIMES DEPENDENT ON POLICE ACTION FOR DETECTION 12 Crime CategoryAPRIL - MARCH Crime Category2009/ /2011CASE DIFF% DIFF Drug-related crime % Driving under the influence of alcohol or drugs % Illegal possession of firearms and ammunition % CRIMES DEPENDENT ON POLICE ACTION %

13 Contributing Clusters 13 CLUSTERAPRIL - MARCH CLUSTER2009/ /2011CASE DIFF% DIFF MANAGUNG CLUSTER % SELOSESHA CLUSTER % THABONG CLUSTER % PARKWEG CLUSTER % PHUTHADITJHABA CLUSTER % WELKOM CLUSTER % BETHLEHEM CLUSTER % FICKSBURG CLUSTER % BULTFONTEIN CLUSTER % KROONSTAD CLUSTER % SASOLBURG CLUSTER % TUMAHOLE CLUSTER % LADYBRAND CLUSTER % MAFUBE CLUSTER % SMITHFIELD CLUSTER % TROMPSBURG CLUSTER % KOFFIEFONTEIN CLUSTER % VREDE CLUSTER %

14 Contributing Stations 14 STATIONAPRIL - MARCH STATION2009/ /2011CASE DIFF% DIFF PARKWEG % THABONG % WELKOM % BOTSHABELO % SASOLBURG % SELOSESHA % BOITHUSO % PHUTHADITJHABA % BLOEMSPRUIT % BETHLEHEM %

15 Contact Related Crime 15 Crime CategoryAPRIL - MARCH Crime Category2009/ /2011CASE DIFF% DIFF Malicious damage to property91568, % Arson % CONTACT RELATED CRIMES95569, %

16 Contributing Clusters 16 CLUSTER/STATIONAPRIL - MARCH CLUSTER/STATION2009/ /2011CASE DIFF% DIFF MANAGUNG CLUSTER % WELKOM CLUSTER % PHUTHADITJHABA CLUSTER % SELOSESHA CLUSTER % THABONG CLUSTER % PARKWEG CLUSTER % SASOLBURG CLUSTER % BETHLEHEM CLUSTER % KROONSTAD CLUSTER % BULTFONTEIN CLUSTER % FICKSBURG CLUSTER % TUMAHOLE CLUSTER % SMITHFIELD CLUSTER % LADYBRAND CLUSTER % KOFFIEFONTEIN CLUSTER % MAFUBE CLUSTER % TROMPSBURG CLUSTER % VREDE CLUSTER %

17 Contributing Stations 17 STATIONAPRIL - MARCH STATIONS2009/ /2011CASE DIFF% DIFF SASOLBURG % PARKWEG % BLOEMSPRUIT % WELKOM % BETHLEHEM % KAGISANONG % THABONG % BOTSHABELO % MANGAUNG % PHUTHADITJHABA %

18 OTHER SERIOUS CRIMES 18 Crime CategoryAPRIL - MARCH Crime Category2009/ /2011CASE DIFF% DIFF Commercial crime % Shoplifting % All theft not mentioned elsewhere % OTHER SERIOUS CRIMES % TARGET 1 – 4%

19 Contributing Clusters 19 CLUSTERAPRIL - MARCH CLUSTER2009/ /2011CASE DIFF% DIFF PARKWEG CLUSTER % WELKOM CLUSTER % MANAGUNG CLUSTER % PHUTHADITJHABA CLUSTER % THABONG CLUSTER % BETHLEHEM CLUSTER % SASOLBURG CLUSTER % KROONSTAD CLUSTER % BULTFONTEIN CLUSTER10761, % SELOSESHA CLUSTER % TUMAHOLE CLUSTER % FICKSBURG CLUSTER % MAFUBE CLUSTER % LADYBRAND CLUSTER % SMITHFIELD CLUSTER % KOFFIEFONTEIN CLUSTER % VREDE CLUSTER % TROMPSBURG CLUSTER %

20 Contributing Stations 20 STATIONAPRIL - MARCH STATION2009/ /2011CASE DIFF% DIFF PARKWEG52685, % WELKOM29082, % SASOLBURG13831, % BETHLEHEM12661, % PHUTHADITJHABA % KROONSTAD % HARRISMITH % BLOEMSPRUIT % KAGISANONG % HEIDEDAL %

21 Aggravated Robbery – Sub Categories 21 Crime CategoryAPRIL - MARCH Crime Category2009/ /2011CASE DIFF% DIFF Carjacking % Truck hijacking % Robbery of cash in transit % Bank robbery % Robbery at residential premises % Robbery at business premises8731, % TOTAL FOR SUB-CATEGORIES OF AGG ROBBERY 18141, %

22 TRIO CRIMES 22 Crime CategoryAPRIL - MARCH Crime Category2009/ /2011CASE DIFF% DIFF Carjacking % Truck hijacking % Robbery at residential premises % Robbery at business premises8731, % TOTAL TRIO CRIMES + TRUCK JACKINGS 17911, % TARGET 4 – 7 %

23 Contributing Clusters - TRIO 23 CLUSTERSAPRIL - MARCH CLUSTERS2009/ /2011CASE DIFF% DIFF MANAGUNG CLUSTER % WELKOM CLUSTER % PHUTHADITJHABA CLUSTER % THABONG CLUSTER % SELOSESHA CLUSTER % PARKWEG CLUSTER % SASOLBURG CLUSTER % KROONSTAD CLUSTER % BETHLEHEM CLUSTER % BULTFONTEIN CLUSTER % FICKSBURG CLUSTER % TUMAHOLE CLUSTER % SMITHFIELD CLUSTER % MAFUBE CLUSTER % VREDE CLUSTER % LADYBRAND CLUSTER % TROMPSBURG CLUSTER % KOFFIEFONTEIN CLUSTER %

24 STATION PICTURE (TOP 12 STATIONS) TRIO + TRUCK HI-JACKINGS CLUSTER /STATIONAPRIL - MARCH CLUSTER/STATION2009/ /2011CASE DIFF% DIFF PARKWEG % WELKOM % BLOEMSPRUIT % SASOLBURG % THABONG % HARRISMITH % MANGAUNG % BOTSHABELO % MELODING % ODENDAALSRUS % PHUTHADITJHABA % KOPANONG %

25 Contributing Clusters CAR JACKING CLUSTER/STATIONAPRIL - MARCH CLUSTER/STATION2009/ /2011CASE DIFF% DIFF MANAGUNG CLUSTER % PARKWEG CLUSTER % SASOLBURG CLUSTER % WELKOM CLUSTER % PHUTHADITJHABA CLUSTER % THABONG CLUSTER % SELOSESHA CLUSTER % TUMAHOLE CLUSTER % BETHLEHEM CLUSTER % KROONSTAD CLUSTER % BULTFONTEIN CLUSTER % MAFUBE CLUSTER % FICKSBURG CLUSTER % LADYBRAND CLUSTER % VREDE CLUSTER % KOFFIEFONTEIN CLUSTER % SMITHFIELD CLUSTER000#DIV/0! TROMPSBURG CLUSTER000#DIV/0!

26 STATION PICTURE (TOP 12 STATIONS) 26 CLUSTER /STATIONAPRIL - MARCH CLUSTER/STATION2009/ /2011CASE DIFF% DIFF PARKWEG % WELKOM % SASOLBURG % MANGAUNG % BLOEMSPRUIT % THABONG % KAGISANONG % KOPANONG % PHUTHADITJHABA % HEIDEDAL % NAVALSIG % VIRGINIA %

27 Contributing Clusters TRUCK HI-JACKING CLUSTER/STATIONAPRIL - MARCH CLUSTER/STATION2009/ /2011CASE DIFF% DIFF PHUTHADITJHABA CLUSTER % SASOLBURG CLUSTER % VREDE CLUSTER % TUMAHOLE CLUSTER % BETHLEHEM CLUSTER % MAFUBE CLUSTER % BULTFONTEIN CLUSTER011#DIV/0! THABONG CLUSTER % WELKOM CLUSTER % FICKSBURG CLUSTER % KOFFIEFONTEIN CLUSTER000#DIV/0! KROONSTAD CLUSTER % LADYBRAND CLUSTER000#DIV/0! MANAGUNG CLUSTER % PARKWEG CLUSTER % SELOSESHA CLUSTER000#DIV/0! SMITHFIELD CLUSTER % TROMPSBURG CLUSTER000#DIV/0!

28 28 STATIONSAPRIL - MARCH STATIONS2009/ /2011CASE DIFF% DIFF HARRISMITH % WARDEN % PARYS % VILJOENSDRIF % BETHLEHEM % SASOLBURG % CORNELIA % ORANJEVILLE011#DIV/0! PHUTHADITJHABA011#DIV/0! VERKEERDEVLEI011#DIV/0! VILLIERS % VIRGINIA011#DIV/0! WELKOM % Contributing Stations

29 CONTRIBUTING CLUSTERS HOUSE ROBBERY CLUSTERSAPRIL - MARCH CLUSTERS2009/ /2011CASE DIFF% DIFF MANAGUNG CLUSTER % PHUTHADITJHABA CLUSTER % THABONG CLUSTER % WELKOM CLUSTER % PARKWEG CLUSTER % SELOSESHA CLUSTER % SASOLBURG CLUSTER % BETHLEHEM CLUSTER % KROONSTAD CLUSTER % FICKSBURG CLUSTER % TUMAHOLE CLUSTER % BULTFONTEIN CLUSTER % LADYBRAND CLUSTER % SMITHFIELD CLUSTER % MAFUBE CLUSTER % TROMPSBURG CLUSTER % KOFFIEFONTEIN CLUSTER % VREDE CLUSTER %

30 Contributing Stations 30 STATIONSAPRIL - MARCH STATIONS2009/ /2011CASE DIFF% DIFF BLOEMSPRUIT % PARKWEG % THABONG % SASOLBURG % WELKOM % KOPANONG % MANGAUNG % ODENDAALSRUS % BOTSHABELO % SELOSESHA %

31 CONTRIBUTING CLUSTERS BUSINESS ROBBERY CLUSTERSAPRIL - MARCH CLUSTERS2009/ /2011CASE DIFF% DIFF MANAGUNG CLUSTER % WELKOM CLUSTER % PHUTHADITJHABA CLUSTER % SELOSESHA CLUSTER % THABONG CLUSTER % SASOLBURG CLUSTER % PARKWEG CLUSTER % KROONSTAD CLUSTER % BETHLEHEM CLUSTER % BULTFONTEIN CLUSTER % FICKSBURG CLUSTER % SMITHFIELD CLUSTER % VREDE CLUSTER % TUMAHOLE CLUSTER % MAFUBE CLUSTER % LADYBRAND CLUSTER % TROMPSBURG CLUSTER % KOFFIEFONTEIN CLUSTER %

32 32 STATIONSAPRIL - MARCH STATIONS2009/ /2011CASE DIFF% DIFF WELKOM % BLOEMSPRUIT % PARKWEG % HARRISMITH % SASOLBURG % MELODING % BOTSHABELO % ODENDAALSRUS % BOITHUSO % THABONG % Contributing Stations

33 DETECTIVE PERFORMANCE

34 ALL RATES :Contact Crimes TRIO Crimes 34 RATE COMPARISON Fin YearCases to Court Rate (%)Detection Rate (%) Conviction Rate (%) 2010/ %30.15%25.08% Cases to court Rate – The province has achieved the baseline (24.27% ) and target(24.81%). Detection Rate – The province has achieved the baseline(27.32%) and target(27.82%). Conviction Rate - The province has achieved baseline(10.35%) and target (11.41%)

35 All Rates : Property Related Crimes 35 RATE COMPARISON Fin YearCases to Court Rate (%) Detection Rate (%) Conviction Rate (%) 2010/ %21.57%43.41% Cases to court Rate – The province has achieved baseline(14.29%) and target(14.65%). Detection Rate – The province has achieved baseline(21.04%) and target(21.23%). Conviction Rate - The province has achieved baseline(25.8%) and target(26.9%).

36 All Rates: Contact Related Crimes 36 RATE COMPARISON Fin YearCases to Court Rate (%)Detection Rate (%) Conviction Rate (%) 2010/ Cases to court Rate – The province has achieved baseline(35.55%) and target(37.39%). Detection Rate – The province has achieved baseline(56.47%) and not target(57.65%). Conviction Rate - The province has achieved baseline(27.47%) and target(28.92%)

37 37 CONTRIBUTING FACTORS

38 Contributing Factors 38 Environmental design – poor infrastructure, roads / emergence of shacks (uncontrolled) / poor or no street lighting / lack of house numbering /open spaces. Complainants tend to often withdraw cases stating that they do not have time to go to court (repeat offenders) Lack of sufficient by- laws, opening of businesses by foreigners / illegal immigrants.

39 Contributing Factors 39 Ever expanding informal settlement population places a strain on policing and resources, both human and physical. Large number of vacant / disused /unused buildings. Increase in rapes – Bloemspruit / Sonskyn – increase in reporting rates Increased number of Service Delivery actions – foreigners are targeted / attacked. Illegal mining activity – Goldfields Cross border crime

40 Contributing Factors 40 Increase number of rapes at Phuthaditjhaba– as a result of a serial rapist near the University. Coupled with rapes he was linked to robberies, theft, attempted murders. Arrested and linked to 13 rapes and robberies. Increase in Trio – crimes (business robberies) – 41 Awaiting Trial Prisoners escaped from Harrismith. Upon arrest, they were linked to business robberies.

41 Border Policing Hot Spots and Challenges 41

42 ILLEGAL FOREIGNERS STOLEN VEHICLE CROSSING POINTS RED = HOT SPOT N1 N8 N3 North West

43 DAGGA SMUGGLING STOCK THEFT ILLEGAL GRAZING TRESPASSING North West N1 N8 N3 RED = HOT SPOT

44 FIRE ARM REPORTS & POSSIBLE VIOLENCE N1 N8 N3 North West RED = HOT SPOT

45 BORDERLINE CHALLENGES 45 Borderline fence is severely damaged and in many parts removed Illegal crossing points with shops / gates Illegal labour practices – use of illegal immigrants by farmers Poor condition of roads Illegal grazing

46 46 INTERVENTION STRATEGIES

47 47 Implementation of the Turn Around Strategy :- Re-alignment of accountability sessions – Stations to Clusters, weekly and bi-weekly / Clusters to Province –monthly and quarterly Sustained visibility on the major routes Sector policing project at Bloemspruit, Parkweg – benchmarking from Thabong, aimed at sustained visibility and collaborative interventions Every Tuesday, Provincial Heads go to Clusters and stations – performance based interventions

48 Intervention Strategies 48 Return and formalisation of the OCTA process- stations to undertake docket analysis Sustain project orientated task teams focussing on TRIO and priority crimes Resource Management Committee established to address the strategic deployment and utilization of resources (human and physical)

49 Intervention Strategies 49 Development of a multi agency Provincial Crime Prevention Strategy ( consultation process ) Project to address by-laws Stock Theft Project ( decrease in stock theft cases) Project on FCS

50 50 THANK YOU


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