2012 Road Accident Statistical Report

2012

Data analysed: 2015Report published: Feb 2016

Statistical Report 2012 1

It is my pleasure to present our statistical road collision report, based on the analysis of collision forms as provided by police stations across the country. The purpose of this report is to present an overview of the road safety situation, risk factors, the impact of road traffic injuries on society and possible ways to prevent or reduce road accidents. This report may therefore serve as a handy decision-making tool in the road transport and health sectors or as an author-itative reference material for research purposes.

Road traffic injuries place a heavy burden on global and national economies and household finances. Many families are driven into poverty by the loss of breadwinners and the added burden of having to care for members who be-come disabled as a result of injuries sustained in road traffic accidents. In 2012, Namibia recorded over 17 000 vehicle crashes, about 4 000 injuries and 400 deaths. Most of the drivers and passengers injured, disabled or killed were in the age range between 15 and 59 years, while pedestrians were aged between 5 and 44 years. Furnished with accurate statistical data, stakeholders in road safety should be able to make informed decisions on road safety man-agement such as enforcement of legislation to control speed, drunken driving, use of seat belts, wearing of helmets as well as driver and vehicle fitness.

The number of road accidents during the period under review has increased in comparison to the previous year. The Khomas Region had the largest number of crashes followed by Erongo, Oshana, Otjozondjupa, Kavango East and Kavango West. It seems logical that the chances of a road accident are higher in areas with larger volumes of traffic. This kind of situation is of great concern to us all and requires a strong political will and concerted efforts from all stakeholders, including the government and non-governmental institutions, to develop counter measures towards creating a safe road environment.

Significant challenges were experienced during the data gathering process. These included the problem of incom-plete reporting of crash reports. Deficiencies such as a lack of proper record keeping, inadequate training, and lack of understanding of the importance of crash reports became profoundly evident. Nevertheless the unreliable data was taken into account for the analysis and the National Road Safety Council (NRSC) is confident that this report fairly represents the situation on the ground.

In conclusion, I would like to advise the reader that corrective measures were undertaken to compensate for under-reporting. Fatalities have been adjusted to the 30 day definition, as recommended in the Global Road Safety Status Report (2009), by applying a standardised 1.3 fatality adjustment factor to the actual number.

Finally, on behalf of the NRSC and the Secretariat, I would like to extend many thanks to police stations who did their best to ensure that Namibian Road Accident Forms were sent to their regional headquarters in time for data captur-ing. I urge those stations that did not send in their reports to do so in the future.

It is my hope that this report will be a useful tool not only for the transport sector but also for the general public.

Eliphas !Owos-oab, Chairman,

National Road Safety Council

1. FOREWORD

National Road Safety Council2

TABLE OF CONTENTSForeword......................................................................................................................................................................................

List of figures............................................................................................................................................................................

List of tables..............................................................................................................................................................................

Executive Summary...........................................................................................................................................................

Introduction...............................................................................................................................................................................

Data Collection Method.................................................................................................................................................

Road Traffic Indicators......................................................................................................................................................

Road Traffic Injuries.............................................................................................................................................................

Injury Severity by Road User Groups ..................................................................................................................

Performance Indicators..................................................................................................................................................

Conclusions and Recommendations.................................................................................................................

APPENDIX I: Country of Origin and Severity of Injury of Drivers.............................................

APPENDIX II: Pedestrian Crash Location......................................................................................................

APPENDIX III: Crash Location and Injury Severity (outside town/city)................................

APPENDIX IV: Street Location by Town and Injury Severity ..........................................................

APPENDIX V: Number of Casualties by Police Station and Regions....................................

Figure 1: Fatalities/10 000 people, 2002-2012 .............................................................................

Figure 2: Fatalities/100 000 people, 2002-2012..........................................................................

Figure 3: Fatalities/10 000 vehicles, 2002-2012...........................................................................

Figure 4: Fatalities/10 million VTK, 2002-2012..............................................................................

Figure 5: Annual change in percentage increase/decrease in fatalities and casualties over the even year period (2002-2012)..............................................

Figure 6: Number of crashes, vehicles involved and injury crashes over eleven years (2002-2012)...........................................................................................................

Figure 7: Severity of injury resulting from road crashes over eleven years (2002-2012).............................................................................................................................

Figure 8: Road crashes by region.............................................................................................................

Figure 9: Injury crashes and fatalities by region..........................................................................

Figure 10: Regional distribution of road deaths per registered vehicles and population............................................................................................................

Figure 11: Density of crashes per square kilometre....................................................................

Figure 12: Regional distribution of population, area (in square kilometres) and number of crashes..............................................................................................................

LIST OF FIGURES AND TABLES

APPENDICES

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Foreword......................................................................................................................................................................................

List of figures............................................................................................................................................................................

List of tables..............................................................................................................................................................................

Executive Summary...........................................................................................................................................................

Introduction...............................................................................................................................................................................

Data Collection Method.................................................................................................................................................

Road Traffic Indicators......................................................................................................................................................

Road Traffic Injuries.............................................................................................................................................................

Injury Severity by Road User Groups ..................................................................................................................

Performance Indicators..................................................................................................................................................

Conclusions and Recommendations.................................................................................................................

APPENDIX I: Country of Origin and Severity of Injury of Drivers.............................................

APPENDIX II: Pedestrian Crash Location......................................................................................................

APPENDIX III: Crash Location and Injury Severity (outside town/city)................................

APPENDIX IV: Street Location by Town and Injury Severity ..........................................................

APPENDIX V: Number of Casualties by Police Station and Regions....................................

Figure 1: Fatalities/10 000 people, 2002-2012 .............................................................................

Figure 2: Fatalities/100 000 people, 2002-2012..........................................................................

Figure 3: Fatalities/10 000 vehicles, 2002-2012...........................................................................

Figure 4: Fatalities/10 million VTK, 2002-2012..............................................................................

Figure 5: Annual change in percentage increase/decrease in fatalities and casualties over the even year period (2002-2012)..............................................

Figure 6: Number of crashes, vehicles involved and injury crashes over eleven years (2002-2012)...........................................................................................................

Figure 7: Severity of injury resulting from road crashes over eleven years (2002-2012).............................................................................................................................

Figure 8: Road crashes by region.............................................................................................................

Figure 9: Injury crashes and fatalities by region..........................................................................

Figure 10: Regional distribution of road deaths per registered vehicles and population............................................................................................................

Figure 11: Density of crashes per square kilometre....................................................................

Figure 12: Regional distribution of population, area (in square kilometres) and number of crashes..............................................................................................................

LIST OF FIGURES AND TABLES

APPENDICES

Figure 13: Number of crashes by month...............................................................................................

Figure 14: Number of crashes by day of the week......................................................................

Figure 15: Number of crashes by time of the day........................................................................

Figure 16: Collision types by severity of injury: fatal, serious and slight...................

Figure 17: Casualties among young people aged ≤25 years from 2009-2012....

Figure 18: Injury severity by month............................................................................................................

Figure 19: Injury severity by day of the week....................................................................................

Figure 20: Injury severity by time of the day.......................................................................................

Figure 21: Number of crashes by time of the day and day of the week...................

Figure 22: Injury severity by road user group (percentage)..................................................

Figure 23: Injury crashes of road usersby gender (percentage).......................................

Figure 24 (a): Driver injury status by gender (numbers)...................................................................

Figure 24 (b): Driver injury status by gender (%)......................................................................................

Figure 25 (a): Passenger injury status by gender (numbers).......................................................

Figure 25 (b): Passenger injury status by gender (%)..........................................................................

Figure 26 (a): Pedestrian injury status by gender (numbers).......................................................

Figure 26 (b): Pedestrian injury status by gender (%)..........................................................................

Figure 27: Driver collisions by age category......................................................................................

Figure 28: Collisions involving pedestrians by age category..............................................

Figure 29: Collisions involving passengers by age category..............................................

Figure 30: Driver injury severity by age category...........................................................................

Figure 31: Passenger injury severity by age category...............................................................

Figure 32: Pedestrian injury severity by age category...............................................................

Figure 33: Driver casualties by selected vehicle types............................................................

Figure 34: Cyclist injury severity....................................................................................................................

Figure 35: Passenger casualties by selected vehicle types................................................

Figure 36: Pedestrian casualties by selected vehicle types................................................

Figure 37: Selected driver actions by percentage of road user casualties............

Figure 38: Collision percentage of drivers tested for alcohol use..................................

Figure 39: Drivers and passengers who reported wearing seatbelts at time of crash........................................................................................................................................

Figure 40: Pedestrians killed and injured by time of the day..............................................

Figure 41: Position of pedestrian..................................................................................................................

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Figure 42: Location of pedestrian................................................................................................................

Figure 43: Action of pedestrian......................................................................................................................

Figure 44: Top ten locations outside town/city sorted by percentage of injury crashes......................................................................................................................................

Table 1: Variations in road safety conditions for the years 2002-2012 Road traffic indicators and levels of exposure to risk......................................

Table 2: Annual change in number and outcome of crashes.......................................

Table 3: Rate variation of collisions by regional distribution 2012..............................

Table 4: Crashes per square kilometre..............................................................................................

Table 5: Crash type by region....................................................................................................................

Table 6: Regional distribution of crash type by frequency (A).......................................

Table 7: Crash type and severity of injury.......................................................................................

Table 8: Young people killed or injured, by road traffic crash type..........................

Table 9: Crashes and injury severity by month...........................................................................

Table 10: Injury severity by day of the week....................................................................................

Table 11: Injury severity by time of the day.......................................................................................

Table 12: Crashes by time and day of the week..........................................................................

Table 13: Injury severity by road user group...................................................................................

Table 14: Injury crashes of road users by gender.......................................................................

Table 15: Driver injury severity by vehicle type .............................................................................

Table 16: Driver injury severity......................................................................................................................

Table 17: Passenger injury severity by vehicle type.................................................................

Table 18: Pedestrian injury severity by vehicle type.................................................................

Table 19: Driver action and road users injured or killed.........................................................

Table 20: Road users injured or killed by driver travelling straight, turning right or swerving..........................................................................................................

Table 21: Pedestrian severity of injury by time of the day...................................................

Table 22: Pedestrian action by pedestrian location..................................................................

Table 23: Damages to vehicles....................................................................................................................

Table 24: Top ten crash locations and crash severity outside town/city...............

Table 25: Top crash locations outside town/city by number of pedestrians killed or injured..................................................................................................................................

Table 26: Top ten street locations and crash severity inside town/city...................

Table 27: Top street locations inside town/city by number of pedestrians killed or injured..................................................................................................................................

LIST OF TABLES

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LIST OF TABLES

LIST OF ACRONYMSGPS Global Positioning System

LDV Light Delivery Vehicle

NRAF Namibian Road Accident Form

NRSC National Road Safety Council

VKT Vehicle Kilometres Travelled


The National Road Safety Council (NRSC) is tasked with the capturing and processing the Namibia Road Accident Forms (NRAF) and the subsequent dissemination of the annual road crash statistics that portray the road safety situation in the country. The road accidents statistics contained in this report are based on the information derived from the NRAF. A road accident form is completed for each road accident reported at police stations countrywide.

A total of 17,892 road crashes were registered at various police stations in Namibia and processed by the NRSC for 2012. Compared to the previous year, this presents an increase of 0.3 % in road crashes over 12 months. Over the span of 10 years the number of crashes has risen by 5.4 percent on average. This upward trend reflects a similar increase from 2003 to 2012 in the number of registered vehicles on the road (4.7 percent) and an overall growth (5.8 percent) in the number of vehicle kilometres travelled (VKT).

The safety situation on Namibian roads is a little less unsafe, as demonstrated by the 5.04 % decrease in the number of injury crashes from 2011 (2,585) to 2012 (2,461). This is supported by a decrease of 11.8% (from 4,407 to 3,889) in the number of ca-sualties, i.e. the number of road users killed, and seriously or slightly injured over the same two years. The sharpest decrease (12.1%) was registered for the number of slight injuries (from 2,470 to 2,171). The number of fatally injured road users dropped by 5.9% (from 406 to 382), while serious injuries fell by 12.7% (1,531 to 1,336).

Despite considerable fluctuation in the numbers of casualties from year to year, a general upward trend was identified over the 10 years from 2003–2012. However, when the increasing number of road crashes over those 10 years is taken into ac-count, the ratio of affected road users to the number of road crashes appears to have declined slightly.

A regional distribution of the number of road crashes reveals that over half of all crashes occurred in the Khomas Region (8,378) followed by Erongo (2,274), Oshana (1,525), Otjozondjupa (1,159), and Oshikoto (775). These five regions also topped the list in 2008, albeit in a slightly different order with Oshana and Otjozondjupa changing places. The highest number of fatalities per 10 000 population was recorded in Erongo with 4 people in 10 000 being at risk of dying in a road accident (rate = 3.5). Other regions whose fatality rate was two or more people per 10 000 population were Otjozondjupa, Zambezi, Oshikoto, Kunene, Khomas and Kavango.

A negative ratio between the number of registered vehicle and the number of fatalities per 1,000 vehicles was seen across the regions. For regions with a low vehicle density such as Ohangwena, Zambezi and Omusati, the number of road deaths per 1,000 registered vehicles was four or more. By contrast, in the regions with the highest vehicle density – Erongo, Khomas and Oshikoto – the number of road fatalities dropped to one person per 1,000 registered vehicles.

A problem that presents itself with this road safety indicator is that an apparent decline in fatalities may in fact reflect the increase in the number of registered vehicles rather than real gains in saved lives. A possibly more objective mea-sure of exposure to risk is the number of Vehicle Kilometres travelled(VKT),i.e. a road traffic indicator measuring the number of fatalities per 10 million VKT.

As in the previous two years, rear-end collisions were the most frequent type of road accident in 2012 (4,259). Colli-sions with animals (2,370) and collisions with fixed objects (1,697) ranked second and third. Among the accident types with particularly severe outcomes were single vehicles that overturned, resulting in the highest number of fatalities (137) and serious injuries (511); collisions with pedestrians (120 deaths and 296 serious injuries ); and head-on collisions (57 fatalities and 96 serious injuries). Regions where single vehicle overturns were among the most frequent accident types were Erongo, Khomas, Otjozondjupa,Hardap and Kunene, whereas Khomas, Oshana and Erongo recorded the highest number of pedestrians involved in road accidents.

The number of road crashes per month did not vary much. Months with the highest number of crashes were July (1,693), August (1,597), March (1,582) and June (1,579) and those with the lowest number were January (1,265), Septem-ber (1,380) and October (1,396). Injury crashes were most prevalent in July (231) and June (229). Although the number of road accidents for December was surprisingly low, these crashes resulted in a significant number of casualties (315). Months with a high number of fatal accidents were July (48), March (46), September (42) and June (36).

Friday and Monday were the days with the most road crashes (2,933 and 2,664 respectively), resulting in a high inci-dence of fatalities (104) and serious injuries (406). The highest number of fatalities (62) occurred between 18:01 and 20:00, while the preceding hours between 16:01 and 18:00 were also particularly unsafe (56 fatalities and 191 serious injuries). The safest time to be on the road was at night between 2:01 and 6:00.

As in the previous years, considerably more male drivers (2,705) than female drivers (291)were involved in road injury crashes. The gender balance for passengers was more even (791 males compared to 512 females), while approx-

2. EXECUTIVE SUMMARY


imately two thirds of pedestrians involved in injury crashes were male (420 males compared to 233 females). The number of fatal injuries was higher for drivers than pedestrians (105 and 90 respectively) and 6.2% of all drivers did not survive the crash compared to 13.6% of all pedestrians. This underlines the higher injury risk of pedestrians due to their exposure on the road.

Over two thirds of driver casualties (1066) fell within the age category 30–59years, while 30% were below the age of 29. Almost half of the passenger casualties (45% or 431) were recorded for the age group 15-29 years. Unlike the age groups for drivers and passengers, 66% (374) of the pedestrian accident victims were under the age of 29, an alarm-ingly high rate.

The highest number of driver fatalities (59) was recorded for crashes involving light delivery vehicles, closely followed by motor cars and station wagons (56). Both types of vehicles also accounted for the majority of serious and slight driver injuries. A marked increase from the previous year was seen in the number of fatal and serious injuries for sedan taxis and drivers of minibuses.

The endeavour to produce reliable road accident statistics is negatively affected by the recurring problem of under-reporting of casualties. On the one hand, not all injury crashes may have been reported by the parties concerned. On the other hand,inaccurate and incomplete recording of the crash by police officers and/or drivers involved is another source of error in reports that were registered at police stations countrywide. Failure by police stations to submit all NRAF to the regional headquarters for capturing seriously affects the reliability of the crash data as uncaptured forms may well have included road crashes with criminal investigations pending, which means that the number of casual-ties could be much higher. It should also be noted that the follow-up on seriously injured people admitted to hospital is not consistent, implying that the number of fatalities may have been underreported.

Of the 25,578 drivers that were involved in road accidents, only 5992(23.4%) were tested for alcohol intoxication. This represents an increase of alcohol intoxication tests compared to the previous year. This poor performance extends to the wearing of seatbelts: only about 2.5% of the crash forms recorded seatbelt use for 641 drivers out of a total of 25578. This data is entirely inadequate for planning strategies to curb drinking and driving and to promote the wearing of seatbelts as an essential safety measure.

Speeding, as indicated by the vehicle’s skid mark length, as well as defective vehicles and inadequate visibility are among other contributory factors that have been identified on the NRAF. Driver behaviour such as awareness of and compliance with traffic regulations,or driver fatigue also feature as major risk factors. However, the NRAF does not collect data on these causes.

The proposed remedial measures intended to prevent and reduce road crashes are the following:

• Promote public transport use to ease the burden of increased traffic volumes across the national road network. Traffic congestion as a result of rapid urbanisation is experienced in Khomas, Erongo and Oshana. Bus services have increased in these regions, but they are limited in the north west where rapid urbanisation has been ex-perienced of late and where the national road infrastructure has also been improved, particularly in the areas of Kamanjab, Opuwo and Outapi. The development of the road infrastructure by the local authorities of the larger urban centres in those regions should make provision for the safety of all road users, especially pedestrians and cyclists.

• The proposed public transport service will reduce the use of LDVs by the public. This type of passenger transpor-tation poses a persistent challenge as indicated by the high number of driver and passenger casualties resulting from crashes with LDVs.

• Pedestrian crashes remain a concern as nearly half of the victims of collisions with vehicles are under the age of 29 years. It is recommended to introduce compulsory road safety education for lower primary schools and orga-nise extensive public campaigns that raise awareness of pedestrian safety and responsibilities.

• Accidents involving cyclists have risen sharply over the past two years. Measures that could prevent this upward trend in cyclist crashes include information campaigns to sensitise drivers to the presence of cyclists on the road, promoting the use of safety helmets and the construction of safe passageways for cyclists in urban areas and on open roads.

• It is recommended that future reports should complement the road crash statistics derived from the NRAF with statistics from other stakeholders to produce one comprehensive report.

• A proposal should be developed for future research into areas of concern raised by the analysis of the crash data.


3. INTRODUCTIONWith the level of motorisation expected to increase rapidly over the next decade, the benefits of such develop-ment are challenged by a corresponding escalation in traffic injury-related costs such as providing hospital care and rehabilitation services. Besides this direct drain on the nation’s economy, the devastating loss or serious injury of a family member places considerable financial, social and emotional strain on the affected families. Awareness of the negative economic and social impact of road crashes has triggered global efforts to deal with the current critical road safety situation and has guided coordinated global efforts towards substantive reduction of road accidents. Efforts are being focused on public awareness campaigns and improved traffic law enforcement.

It is in this spirit that the NRSC has undertaken to collate and analyse road accident data in the country in order to identify the necessary remedial interventions to improve the situation. As part of this effort, the NRSC has produced separate reports on the road safety situation since 2005. This statistical report gives an account of traffic accidents that took place on the national road network in 2012.

Road crashes are reported to the Namibian Police in accordance with the Road Traffic and Transportation Act (Act 22 of 1999), while the Roads Authority manages the traffic counts on national roads to determine the Vehicle Kilometres Travelled (VKT) on the road network and also provides the number of registered vehicles. The NRSC, established under the National Road Safety Act (Act 9 of 1972), is tasked with the responsibility to promote road safety and disseminate road safety information to all parties concerned.

For the year under review, the NRSC captured data related to 17 892 road crash cases. Head-rear-end crashes were the most frequent road accidents, followed by collisions with fixed objects and collisions with animals as well as sideswipe crashes between vehicles moving in the same direction. Although these crashes constituted the majority in terms of numbers, accidents that were the most devastating in terms of severity were single vehicle overturn, collisions with pedestrians and head-on collisions. Among the suspected causes of these crashes are reckless and drunk driving, speeding, driver fatigue, unsafe roads and unsafe vehicle conditions. At present these factors are not reflected in the analysis, partly because data on these - such as driver fatigue and reckless driving - is not being collected. However, a more detailed analysis, which includes factors that have been recorded in the NRAF, is feasible and it is proposed that these should be incorporated into future accident reports. Determining the contributory role of these circumstances in the crash event will assist in the planning of mitigating interventions.

It is indisputable that inaccurate and incomplete recording by the police and/or reporting by drivers compro-mises the reliability of the data. Although most of the information obtained from the accident forms seemed to be adequate, concerted efforts need to be undertaken by the police to produce more complete data on the accident location, age and gender of all road users involved, the number of passengers per vehicle, the severity of injury sustained by pedestrians and passengers, and especially on seatbelt compliance and alcohol testing. Since it is believed that buckling up can save lives and that driving under the influence of alcohol is a major cause of accidents in Namibia, it is not possible to determine whether either of these factors contributed to the crash. Supplementary data on the extent to which alcohol contributed to crashes can be obtained from the National Forensic Science Institute.


4. DATA COLLECTION METHODA non-reactive data collection method (existing documents)was applied to obtain this information. Data was cap-tured from existing police records by electronic means and fed into the computer system. The unit of analysis is the road traffic collision report (NRAF). The police stations forwarded the Pol. 66 forms to the NRSC for analysis. The NRSC staff had to travel to some police stations to collect large numbers of reports that had not been delivered to the NRSC. SPSS and Excel software was used at the NRSC to capture the data from the records (Pol.66) and anal-yse it.

ObjectiveThe overall objective for the collation of this statistical report is to provide a clear picture of vehicle collisions on public roads, and their impacts on road users during the period of 2012.

Data collectionThe NRSC commissioned a consultant to collect forms from police stations and capture them into the Road Safety Information Management System (RSIMS). The duty stations for the capturers were the Regional Police Head Quar-ters in the thirteen regions. The consultant ensured that all captured data was transferred to the server at the NRSC in Windhoek. The NRSC exported raw data from the system into MS Excel format for verification and analysis.

Project LimitationsSome police stations did not complete the forms properly. The missing data on a number of forms slowed down the data entry process. Incomplete forms could not be sent to the server from the capturing stations during data capturing, resulting in delays because capturers had to verify the information once more with the police officer-sconcerned and update the form. The consultants also had to make several attempts to collectthe forms, which included travelling to various police stations. Some police stations were either reluctant or unwilling to send the collision reports to their Regional Head Quarters. Waiting for missing forms further delayed the process of data entry and analysis. Calculating the total number of accidents in a given year was complicated by the large number of missing forms.


A road traffic accident is the result of an unintended inter-action between two or more moving objects, or between a fixed and a moving object. Pedestrians and motorists move about in accordance with the land use system, residential patterns, population densities, street geome-try, and the location of the workplace, shopping precinct, health centre or other type of traffic generator.

The overall level of road traffic safety can be measured in several different ways. The primary or direct indicators in-clude the (absolute) number of road accidents that result in injury and/or fatalities and the number of people who die (fatalities) or are injured (seriously or slightly) as a re-sult of road traffic accidents within a given period of time, usually a year. These statistics show the prevalence and size of the road safety problem and are crucial for plan-ning remedial measures and allocating resources at the local level.

For monitoring the level of road safety over years or across regions, the primary indicators must be related to some measure of risk exposure in order to make meaningful comparisons and establish the trends. Indicators are ex-pressed by a ratio of a number of road safety outcomes (e.g. crashes, injuries) to the measure of exposure (e.g. population size). The most commonly used risk indicators, which cover different aspects of road safety management, include:

1. Fatalities per 10,000 registered vehicles indicate the extent to which traffic volumes contribute to road crashes.

2. Fatalities per 100,000 people show the extent to which road crashes constitute a burden to public health.

3. Fatalities per 10 million VKTis a reflection on the level of road users’ safety.

When changes in these ratios are consistently monitored, variations or trends can be established in the level of road safety over the years or across regions and locations. Among other road safety performance measures that complement the primary performance indicators and ratios are:

1. The number of casualties resulting from road colli-sions where at least one of the drivers involved was driving under the influence of alcohol.

2. The number of car occupants who did not wear a seat belt and were killed or seriously injured in a crash.

3. The number of pedestrians involved in road crashes.

4. The number of young people (25 years and less) killed or injured ina certain type of road traffic accident.

5. The number of injury crashes caused by speeding.

6. The number of casualties in road crashes caused by driver fatigue.

Of the six indicators above, only the third and fourth (num-ber of pedestrians and young people) are discussed in this report. As to the other two performance indicators, the incomplete data on alcohol involvement and seat belt compliance does not allow for a sound analysis.The effect of speeding could be incorporated depending on the completeness of this information as recorded on the accident form. Since the NRAF does not collect data on driver fatigue, this performance indicator could perhaps be established by independent annual surveys.

5. ROAD TRAFFIC INDICATORS

Year Numbers

Crashes

Number of Vehicles Involved

Injury Crashes Fatalities

Serious Injuries

Slight Injuries

Registered Vehicles

Vehicle Kilometres Traveled (VKT)

National Population

2002 10,915 17,708 2,125 308 1,245 2,253 180,342 4,722,048,700 1,860,145

2003 10,957 17,838 1,956 278 1,149 1,195 192,321 4,795,168,400 1,891,097

2004 10,262 17,074 1,763 291 896 1,861 204,460 5,089,239,800 1,923,347

2005 11,146 18,257 1,834 252 1,054 1,928 218,140 5,343,794,700 1,956,899

2006 13,396 19,870 1,248 330 560 1,240 232,348 5,747,261,300 1,991,746

2007 13,720 20,247 2,053 252 971 1,801 239,885 5,929,692,400 2,027,870

2008 13,825 21,710 2,279 259 1,335 2,251 213,939 6,409,643,700 2,065,224

2009 15,537 24,433 2,537 278 1,403 2,483 229,806 7,141,761,800 2,103,762

2010 17387 24817 2570 313 1594 2499 249,421 7,969,687,101 2,143,411

2011 17835 25337 2585 406 1531 2470 269,907 8,085,571,000 2,113,077

2012 17,892 25,189 2461 382 1,336 2,171 280,583 8,271,980,501 2,155,440

Table 1: Variations in road safety conditions for the years 2002-2012: Road traffic indicators and levels of exposure to risk


Figure 1: Fatalities/10 000 people, 2002-2012

Table 1 shows trends in the road safety situation from 2002-2012.The number of crashes increased steadily from year to year. The numbers for injuries and fatali-ties and the degree of injuries resulting from collisions are more varied. Road safety trends in terms of the risk indicators show that the ratio of fatalities per 10 000 people (Table 1) has decreased over the past two years with 1 person at risk of being killed in a road

crash in 2012. The overall risk of a person dying in a road crash has decreased slightly, however, from 19.2 to 17.7 per 100 000 people. Despite the variation in fa-tality rates over the last eleven years the downward trend depicted in Figure 2 seems to indicate an overall decline in road accident deaths. The fatality rate per 10 000 vehicles, as shown in Figure 3, has declined to 13.6.

1.7 1.5 1.5

1.3

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1.9 1.8

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2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

Fatali2es/ 10 000 People

The national population figures are projections based on the calculations contained in the National Population Census Main Report 2011: Namib-ia 2011 Population and Housing Census, Namibia Statistics Agency, April 2012. Registered vehicles per population are obtained from the Road Authority’s Traffic Information System for 2012.NB: Fatalities have been adjusted to the 30 day definition by applying a standardised 1.3 fatality adjustment factor to the recorded number of fatalities.

Calculations of ratios: (Number of occurrences/total population) × given population

Rates of Comparison

Crashes/ 1000 Vehi-cles

Crashes/ 10 000 People

Injury Severity/ 1000 Vehi-cles

Injury Severity/ 10 000 People

Fatalities/ 10 000 Vehicles

Fatalities/ 100 000 Vehicles

Fatalities/ 10 million VKT

Fatalities/ 10 000 People

Fatalities/ 100 000 People

60.5 58.7 21.1 20.5 17.1 170.8 0.65 1.7 16.6

57.0 57.9 13.6 13.9 14.5 144.5 0.58 1.5 14.7

50.2 53.4 14.9 15.8 14.2 142.3 0.57 1.5 15.1

51.1 57.0 14.8 16.5 11.6 115.5 0.47 1.3 12.9

57.7 67.3 9.2 10.7 14.2 142.0 0.57 1.7 16.6

57.2 67.7 12.6 14.9 10.5 105.1 0.42 1.2 12.4

64.6 66.9 18.0 18.6 12.1 121.1 0.40 1.3 12.5

67.6 73.9 18.1 19.8 12.1 121.0 0.39 1.3 13.2

69.7 81.1 17.7 20.6 12.5 125.5 0.39 1.5 14.6

66.1 84.4 16.3 20.9 15.0 150.3 0.50 1.9 19.2

63.8 83.0 13.9 18.0 13.6 136.2 0.46 1.8 17.7

Year

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

2012

Continuation of Table 1


Figure 4: Fatalities/10 million VTK, 2002-2012

Figure 2: Fatalities/100 000 people, 2002-2012

16.6 14.7 15.1

12.9

16.6

12.4 12.5

13.2

14.6 19.2 17.7

0.0

5.0

10.0

15.0

20.0

25.0

2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

Fatali2es/ 100 000 People Poly. (Fatali2es/ 100 000 People)

0.65 0.58 0.57

0.47

0.57

0.42 0.40 0.39 0.39

0.50 0.46

0.00

0.10

0.20

0.30

0.40

0.50

0.60

0.70

2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

Fatali2es/ 10 million VKT Poly. (Fatali2es/ 10 million VKT)

17.1

14.5 14.2

11.6

14.2

10.5 12.1 12.1 12.5

15.0 13.6

0.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0 18.0

2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

Fatali2es/ 10 000 Vehicles

The linear trend shows there has been a steady increase in road traffic deaths over the ten year period. The ratio

of fatalities per 100000 people ranged between 12.4 and 19.2.

Figure 3: Fatalities/10 000 vehicles, 2002-2012

The ratio of fatalities per 10 million VKT for 2012 de-creased slightly over the previous year (0.50 for 2011 and 0.46 for 2012). The current ratio of 0.46 implies that almost one person per 10 million VKT was at risk of being killed while travelling on the road network. The general trend, however,is similar to the one in Figure 2, which showed a more or less an overall steady increase, although a de-

crease was noted in some years. This leads to the infer-ence that the safety level of the Namibian road network had evidently remained the same over the ten year peri-od. Considering the overall trend from 2002-2012, it can be concluded that injury severity rates have marginally increased over the years.


The year-to-year change in the number of crashes showed a percentage increase from 0.4 percent (2002–2003) to 20.2 percent (2005–2006), except in 2004 where fewer road crashes occurred than in the previous year (-6.3 percent). This fluctuation may be a result of underre-porting of crashes. A percentage rise of 12.4 percent was seen between 2008 and 2009. Since 2010, the number of

road crashes decreased gradually until 2012. Considering the overall trend over the 11 years under consideration, the average percentage growth was 5.33 percent per year. With regard to the percentage change from 2011-2012, a decrease in both casualties and fatalities was re-corded (-10.6 % and -6.12 % respectively).

Figure 5: Annual change in percentage increase/decrease in fatalities and casualties over the eleven year period (2002-2012)

Table 2: Annual change in number and outcome of crashes

A year-to-year fluctuation is seen in the percentages of fatalities as well as casualties with a noticable downward slope from 2007 to 2012.

-‐9.7

4.7

-‐13.4

31.0

-‐23.6

2.8 7.3

12.6 29.58

-‐5.77

-‐30.0

-‐20.0

-‐10.0

0.0

10.0

20.0

30.0

40.0

2002

-‐200

3

2003

-‐200

4

2004

-‐200

5

2005

-‐200

6

2006

-‐200

7

2007

-‐200

8

2008

-‐200

9

2009

-‐201

0

2010

-‐201

1

2011

-‐201

2

(a) Fatali5es

Year Number of crashes Number of fatalities Number of casualitiesTotal Yearly Change Total Yearly Change Total Yearly Change

Nº % Nº % Nº %2002 10,915 308 3822 2003 10,957 42 0.38 278 -30 -9.7 3449 -373 -9.82004 10,262 -695 -6.3 291 13 4.7 3097 -352 -10.22005 11,146 884 8.6 252 -39 -13.4 3251 154 4.82006 13,396 2250 20.2 330 78 31.0 2130 -1121 -34.52007 13,720 324 2.4 252 -78 -23.6 3024 894 41.92008 13,825 105 0.8 259 7 2.8 3845 821 27.12009 15,537 1712 12.4 278 19 7.3 4164 319 8.32010 17,387 1850 11.9 313 35.0 12.6 4406 242 5.82011 17,835 448 2.6 406 92.6 29.58 4352 -54 -1.22012 17,892 57 0.3 382 -23.4 -5.77 3889 -463 -10.6

-‐9.8

-‐10.2

4.8

-‐34.5

41.9

27.1

8.3

5.8

-‐1.2 -‐10.6

-‐40.0 -‐30.0 -‐20.0 -‐10.0 0.0 10.0 20.0 30.0 40.0 50.0

2002

-‐200

3

2003

-‐200

4

2004

-‐200

5

2005

-‐200

6

2006

-‐200

7

2007

-‐200

8

2008

-‐200

9

2009

-‐201

0

2010

-‐201

1

2011

-‐201

2

(b) Casual6es


Figure 6: Number of crashes, vehicles involved and injury accidents over eleven years (2002-2012)

Road crashes are divided into four categories, based on severity:

• A fatal crash results in the death of one or more per-sons (driver, passenger, cyclist or pedestrian) and can also include serious or slight injuries.

• A serious (major) crash causes serious injuries to one or more persons and can also include slight injuries.

• A slight (minor) crash results in slight injuries to one or more persons.

• Property damage: the vehicle and/or other property is damaged in a collision, but no person is killed or injured.

Injury crashes refer to road accidents in which at least one person was injured or killed as a direct result of the crash. The police officer at the scene determines the af-fected person’s level of injury at the time of the crash. If the injury level of the victim changes within 30 days after the crash occurred, this has to be recorded on the NRAF. Regarding the prevalence of injury crashes, a trend sim-ilar to that between vehicles and crashes is apparent, albeit not as well-defined. While there appeared to be an increase in the number of injury crashes, the variation over the years did not follow a definite pattern. In order to gain a better understanding of the injury crash trend, the severity of the resultant injury was analysed in more detail.

10,915 10,957 10,262 11,146

13,396

13,720

13,825 15,537

17387 17835 17,892

2,125 1,956 1,763 1,834 1,248 2,053 2,279 2,537 2570 2585 2461

17,708 17,838

17,074 18,257

19,870 20,247

21,710 24,433

24817 25337 25,189

0

5,000

10,000

15,000

20,000

25,000

30,000

2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

Crashes Injury Crashes Number of Vehicles Involved


Figure 7: Severity of injury resulting from road crashes over eleven years (2002-2012)

Figure 7 illustrates the levels of injury severity sustained by the number of victims that were involved in injury crashes over the 11 years. The average levels of injury during that period show that 8.7% (304) of the people in-volved were fatally injured, while 33.9% (1189) were se-riously injured and 57.4% (2014) sustained slight injuries.

The highest number of seriously injured persons was re-corded for 2010 (1594). An increase in the number of peo-ple killed in road accidents was seen in 2011 (406 deaths), compared to 382 in 2012 (24 difference in deaths in the

two year period). Structures for consistently following up on seriously injured people who were admitted to hos-pitals and might have died within 30 days are not fully in place. Instead, a WHO underreporting formula (factor 1.3) is used in the data presented in this report to account for underreported or unreported cases by adding the fac-tor to the actual number of deaths reported by police. Although the number of road crashes had risen sharply, the number of road user casualties appears to have in-creased slightly over the 11 year period.

308 278 291 252 330 252 259 278 313 406 382

1,245 1,149 896

1,054

560

971

1,335 1,403 1594 1531

1,336

2,253

1,195

1,861 1,928

1,240

1,801

2,251 2,483 2499 2470

2,171

0

500

1000

1500

2000

2500

3000

2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

Fatali2es Serious Injuries Slight Injuries


Of

the

130

659

re

gis

tere

d v

ehi

cle

s in

the

Kho

mas

Re

gio

n 6

% w

ere

invo

lve

d in

car

cr

ashe

s w

hich

left

75

pe

op

le d

ead

, 258

se

riou

sly

inju

red

and

576

slig

htly

inju

red

as

show

nin

Tab

le 3

. The

Ero

ngo

Re

gio

n re

cord

ed

the

se

cond

hig

hest

nu

mb

er o

f ro

ad

traffi

c ac

cid

ent

s,fo

llow

ed

by

Osh

ana,

Otjo

zond

jup

a an

d O

shik

oto

whi

le Z

amb

ezi

had

the

low

est

nu

mb

er

(se

e F

igu

re 8

). In

te

rms

of

inju

ry c

rash

es

acro

ss N

amib

ia,

the

sam

e re

gio

ns w

ere

in th

e to

p fo

ur p

osi

tions

in th

e s

ame

ord

er,

bu

t the

Kav

ang

o

Re

gio

n in

ste

ad o

f Osh

iko

to c

ame

fift

h in

the

ran

king

of i

nju

ry c

rash

es.

Thi

s al

so a

p-

plie

s to

the

hig

hest

nu

mb

ero

f fat

aliti

es

pe

r re

gio

n (s

ee

Fig

ure

9).

Reg

ion

Acc

iden

tsIn

jury

ac-

cide

nts

Fata

litie

sSe

rious

ly

inju

red

Slig

htly

in-

jure

dN

ot

Inju

red

Dam

age

only

Reg

. ve

hicl

esPr

ojec

ted

popu

latio

n

Fata

litie

s/

1 00

0 re

gist

ered

ve

hicl

es

Fata

litie

s/

10 0

00

popu

la-

tion

Ero

ngo

2274

304

4014

926

634

2719

7036

408

1151

141.

13.

50O

hang

wen

a38

713

335

116

105

617

254

3374

2755

9810

.41.

27O

mah

eke

422

9714

7795

500

325

5251

7857

42.

71.

82K

hom

as83

7865

075

258

576

1274

677

2813

0659

3601

160.

62.

09K

aras

457

819

4272

603

376

5473

1900

651.

70.

48

Kun

ene

502

9823

8984

577

404

6625

8301

33.

52.

82H

arda

p59

514

827

8215

986

244

718

702

1744

581.

51.

56

Kav

ango

673

161

3983

152

944

512

2789

118

2910

1.4

2.13

Osh

ikot

o77

515

617

9515

896

961

912

688

7412

71.

32.

28O

tjozo

ndju

pa11

5918

723

119

154

1371

972

1001

072

972

2.3

3.21

Osh

ana

1525

264

3812

418

222

0912

6170

2128

2199

5.4

1.09

Zam

bezi

321

6418

2450

390

257

3380

9017

65.

42.

02

Om

usat

i42

411

822

7811

872

430

650

9625

0122

4.3

0.88

Nam

ibia

1789

224

6138

213

3621

7125

939

1543

128

0583

2155

440

1.4

1.77

Tab

le 3

: Rat

e v

aria

tio

n o

f co

llis

ion

s b

y re

gio

nal

dis

trib

uti

on

20

12

With

tota

l reg

iste

red

veh

icle

s in

the

Gov

ernm

ent =

7781

and

NP

S =

224


Figure 8: Road crashes by region

Figure 9: Injury accidents and fatalities by region

Figure 10: Regional distribution of road deaths per registered vehicles and population

321

387

422

424

457

502

595

673

775

1159

1525

2274

8378

0 1000 2000 3000 4000 5000 6000 7000 8000 9000

Zambezi

Ohangwena

Omaheke

Omusa;

Karas

Kunene

Hardap

Kavango

Oshikoto

Otjozondjupa

Oshana

Erongo

Khomas

650

304 264

187 161 156 148 133 118 98 97 81 64 75 40 38 23 39 17 27 35 22 23 14 9 18

0

100

200

300

400

500

600

700

Khom

as

Erongo

Oshana

Otjozondju

pa

Kavango

Oshikoto

Harda

p

Ohangwena

OmusaA

Kunene

Omaheke

Karas

Zamb

ezi

Injury accidents FataliAes

1.1

10.4

2.7

0.6 1.7

3.5

1.5 1.4 1.3 2.3

5.4 5.4 4.3

3.50

1.27 1.82 2.09

0.48

2.82 1.56 2.13 2.28

3.21

1.09 2.02

0.88

0.0

2.0

4.0

6.0

8.0

10.0

12.0

Erongo

Ohangw

ena

Omaheke

Khomas Kara

s

Kunene

Hardap

Kavan

go

Oshiko

to

Otjozo

ndjupa

Oshan

a

Zambezi

OmusaB

Coun

ts of D

eaths

FataliBes/ 1 000 registered vehicles FataliBes/ 10 000 populaBon


Table 4 compares the number of crashes with the size of the Namibian regions in square kilometres. Khomas and Oshana had the highest crash rate per square kilometre

(0.23 and 0.18 respectively). Hardap, Kunene and Oma-heke had the lowest number (see Figure 11)..

If the levels of severity are taken into account and fatalities are expressed per 10 000 population or per 1 000 regis-tered vehicles, a completely new picture emerges - as il-lustrated in Figure 10 above.

The highest number of fatalities per 10 000 people was reported for the Erongo Region with almost 4(3.50) of 10 000 people facing a chance of being killed in a road crash, followed by Otjozondjupa (3.21) and Kunene (2.82).

The comparison of population density and fatality rate shows the impact on the population. Compared to Eron-go and Otjozondjupa the population of Kunene was high-ly affected by vehicle crashes. Since Kunene is sparsely populated and Erongo and Otjozondjupa are highly pop-ulated, the conclusionis that the more densely populated

the area, the lower the impact of vehicle collisions on the total population. Population density is elaborated in Table 4 below. Other factors such as the higher degree of ur-banisation, the safety level of the road network and traffic volume account for the higher number of road collisions recorded in Otjozondjupa and Erongo, while a lower de-gree of urbanisation in the Omaheke Region plays a role in the high number of deaths per population.

Looking at the number of fatalities per 1 000 vehicles, Figure 10 shows that Ohangwena ranked first with 10.4, followed by Zambezi and Oshana (both 5.4) and Omusati (4.3). In the Kunene Region 3 or more people per 1 000 registered vehicles were killed. Among the regions report-ing the lowest fatality rates were Oshikoto (1.3),Erongo (1.1) and Khomas (0.6).

Region Crashes Reg. vehicles Projected population

Area in sq.km Accidents per sq.km

Population density

Erongo 2274 36408 115114 63579 0.04 1.8Hardap 595 10010 72972 109651 0.01 0.7Karas 457 12688 74127 161215 0.00 0.5Kavango 673 7021 282199 48463 0.01 5.8Khomas 8378 130659 360116 37007 0.23 9.7Kunene 502 5251 78574 115293 0.00 0.7Ohangwena 387 3374 275598 10703 0.04 25.7Omaheke 422 6625 83013 84612 0.00 1.0Omusati 424 5096 250122 26573 0.02 9.4Oshana 1525 27891 182910 8653 0.18 21.1Oshikoto 775 5473 190065 38653 0.02 4.9Otjozondjupa 1159 18702 174458 105185 0.01 1.7

Zambezi 321 3380 90176 14528 0.02 6.2

Namibia 17892 280583 2225707 824116 0.02 2.7

Table 4: Crashes per square kilometre


Figure 11: Density of crashes per square kilometre

Figure 12: Regional distribution of population, area (in square kilometres) and number of crashes

A comparison of the population density of the various regions shows that in general the smaller regions have larger populations than the bigger ones (Figure 12). Com-bined with the number of collisions per square kilometre,

the conclusion is that regions with smaller land areas and high population density reported proportionally more ac-cidents than regions with lower population density.

0.04

0.01

0.00

0.01

0.23

0.00

0.04

0.00

0.02

0.18

0.02

0.01

0.02

0.02

0.00 0.05 0.10 0.15 0.20 0.25

Erongo

Hardap

Karas

Kavango

Khomas

Kunene

Ohangwena

Omaheke

Omusa=

Oshana

Oshikoto

Otjozondjupa

Zambezi

Namibia

As already shown in Table 4, the Khomas and Oshana re-gions recorded the highest number of crashes per square kilometre. This implies that in these two regions there had

been a probability of 18 and 23 respectively of crashes occuring per every square kilometre in 2012.

2274

595

457

673

8378

502

387

422

424

1525

775

1159

321

63579

109651

161215

48463

37007

115293

10703

84612

26573

8653

38653

105185

14528

0 50000 100000 150000 200000 250000 300000 350000 400000

Erongo

Hardap

Karas

Kavango

Khomas

Kunene

Ohangwena

Omaheke

Omusa?

Oshana

Oshikoto

Otjozondjupa

Zambezi

Area in sq.km Projected popula?on Crashes


Reg

ion

Approach at an-gle: both travel-

ling straight

Approach at angle: one or both turning

Head on

Head/rear end

Other/unknown (Specify)

Sideswipe: opposite direc-

tions

Sideswipe: same direction

Single vehicle overturned

Turn right in face of oncom-

ing traffic

With animal (Specify)

With Fixed Ob-ject (Specify)

With pedestrian

With train

Total

Total %

Ero

ngo

6451

2366

152

184

163

212

4814

420

789

522

7213

%H

arda

p5

48

6810

032

2810

88

130

7132

059

43%

Kar

as5

30

2118

09

1764

879

549

044

93%

Kav

ango

1112

262

9337

3148

619

311

760

167

34%

Kho

mas

317

298

122

2728

1936

362

844

185

258

391

656

260

483

6147

%K

unen

e2

20

2069

910

101

621

060

103

502

3%O

hang

wen

a5

58

4259

917

658

7551

430

387

2%O

mah

eke

59

349

6712

1956

513

949

81

422

2%O

mus

ati

62

1016

5613

1436

610

936

251

330

2%O

shan

a43

2523

394

201

6110

191

5224

117

012

10

1523

9%O

shik

oto

1812

993

164

3435

8417

212

7719

177

54%

Otjo

zond

jupa

2013

597

258

6644

121

1737

910

633

011

597%

Zam

bezi

44

28

586

823

568

4316

024

51%

Tota

l50

544

021

542

5937

6273

413

3111

9444

423

7016

9772

516

1769

210

0%To

tal %

3%2%

1%24

%21

%4%

8%7%

3%13

%10

%4%

0%10

0%

Tab

le 5

: Cra

sh t

ype

by

reg

ion


Table 6 summarises the five most frequent collision types in all the regions by type and frequency. The road crashes listed under “Other/ unknown”, which accounted for 21% (3762) of all crashes, have not been included in the ranking. A considerable number of these crashes fall under the category “Unknown” either because the col-lision report was incomplete or the crash type had not been identified and recorded by the police officer. “Oth-er” crashes refer to minor crashes such as a stone hit-ting the vehicle’s window and parked vehicles that were bumped. Other more serious crashes included vehicles that caught fire, passengers who fell or jumped from a vehicle, and drivers who lost control over the vehicle.

Khomas, Erongo and Oshana are regions with bigger ur-ban centres and rear-end collisions were the most com-

mon. Collisions with animals were the number one acci-dent type in eleven predominantly rural regions where livestock farming is one of the main subsistence sources and cattle, goats and donkeys often roam freely.

The second most frequently occurring type of collision was single vehicle overturn in the Hardap, Karas, Ku-nene, Ohangwena, and Omaheke regions. Collisions with fixed objects came second as the most common crash in Erongo, Kavango, Omusati, Otjozondjupa and Zambezi - all of these regions have a predominantly rural popula-tion. Of the types of road crashes mentioned above, sin-gle vehicle overturns, crashes involving pedestrians, and head/rear-end collisions resulted in the highest number of fatalities.

A) Ranking is established by frequency of the type of crash, i.e. Rank 1 is allocated to the type of crash which was the most frequent for the region.1”With pedestrian” and “Sideswipe: opposite direction” had the same number of occurrences2”With pedestrian” and “Sideswipe: same direction” had the same number of occurrences3” Sideswipe: same direction” and “Sideswipe: Opposite direction” had the same number of occurrences

Region

Head/rear end

Sideswipe: op-posite directions

Sideswipe: same direc-

tion

Single vehicle

overturned

Turn right in face of oncoming

traffic

With Fixed Object

(Specify)With

pedestrianErongo 1 0 4 2 0 3 5Hardap 3 4 0 1 0 2 4Karas 3 5 4 1 0 2 5⑥Kavango East 2 4 0 5 0 1 3Kavango West 4 4⑤ 0 3 0 1 2Khomas 1 4 2 0 0 3 5Kunene 3 5 0 1 6 2 4Ohangwena 4 0 5 1 0 2 3Omaheke 2 4 3 1 0 2③ 5Omusati 3 5 4 1 0 1② 2Oshana 1 0 4 5 0 2 3Oshikoto 1 5 4 2 0 3 0Otjozondjupa 3 4 5 2 0 1 0Zambezi 4 5 4⑤ 2 0 1 3Namibia 35 49 39 27 6 26 44

Table 6: Regional distribution of crash type by frequency (A)


Figure 13: Number of crashes by month

Looking at the number of road crashes by month, July stands out with the highest number (1693), followed by August (1597), March (1582), June (1579) and April (1543). The lowest number of road crashes (1265) was recorded

for January. This may have been due to the effectiveness of road safety campaigns during the festive season. It is advisable that road safety awareness campaigns are run throughout the year.

Figure 14: Number of crashes by day of the week

As in the previous years a significant increase in the num-ber of crashes was recorded for weekends.The risk is the

highest on Fridays(2 933 crashes), followed by Monday with 2664 crashes and Saturday with 2620 crashes.

1265

1515 1582 1543 1463

1579 1693

1597

1380 1396 1457 1422

0

200

400

600

800

1000

1200

1400

1600

1800

January

February

March

April

May

June

July

August

September

October

November

December

2664 2401 2507 2465

2933 2620

2302

357 284 304 330 404 420 362

0

500

1000

1500

2000

2500

3000

3500

Monday Tuesday Wednesday Thursday Friday Saturday Sunday

Number of Crashes Injury Crashes


Figure 15: Number of crashes by time of the day

539

246

359

1385

1271

1521

2228

2193

2694

2620

1748

1088

0 500 1000 1500 2000 2500 3000

00:01-02:00

02:01-04:00

04:01-06:00

06:01-08:00

08:01-10:00

10:01-12:00

12:01-14:00

14:01-16:00

16:01-18:00

18:01-20:00

20:01-22:00

22:01-24:00

NumberofCrashes


6. ROAD TRAFFIC INJURIESRoad traffic injuries are classified according to the level of severity, i.e. the extent of injuries sustained in a crash. This section deals with three levels on injury: fatally in-jured, seriously injured and slightly injured as a direct re-sult of a traffic accident.

The severity of the injuries sustained in a road accident is influenced by a number of factors, e.g.: collision type, the force of impact, driving under the influence of alcohol or drugs,not wearing seatbelts, lack of child restraints and

crash helmets, lack of crash protection for vehicle occu-pants, and driver fatigue.

This section deals with collision types and the severity of injuries sustained. The number and type of injuries are analysed in relation to the month, day of the week and the time of the day when the crash occurred. This information is intended to assist road traffic management to develop appropriate measures to prevent road acci-dents.

Table 7 and figure 16 show the number of fatalities, se-rious and slight injuries by collision type. The most com-mon were rear-end collisions, followed by collisions with animals. Single vehicle overturns caused the highest percentage of injuries (36%). Crashes where pedestrians were hit or run over by a vehicle were also among the

most serious in terms of lives lost and injuries sustained. A total of 725 pedestrians (21%) were injured or killed. Sin-gle vehicle overturns and crashes involving pedestrians together accounted for 57% of the total number of inju-ries (257 fatal, 807 serious, 1039 slight).

Missing: Crash type was not recorded on the accident form in 200 cases with 15 fatalities, 124 serious injuries and 58 slight injuries.

Crash Type Crashes Fatalities Serious Injuries

Slight Injuries

Total Casu-alties

% Casual-ties

Approach at angle: both travelling straight 505 1 14 59 74 2%Approach at angle: one or both turning 440 0 9 37 46 1%Head-on 215 57 96 54 207 6%Other/unknown (specify) 3762 4 39 222 265 7%Rear-end 4259 7 65 206 278 8%Sideswipe: opposite directions 734 13 36 76 125 3%Sideswipe: same direction 1331 1 18 78 97 3%Single vehicle overturned 1194 137 511 670 1318 36%Right turn in the face of oncoming traffic 444 4 29 75 108 3%With animal (specify) 2370 10 50 141 201 5%With fixed object (specify) 1697 12 46 121 179 5%With pedestrian 725 120 296 369 785 21%With train 16 1 3 5 9 0%Total 17692 367 1212 2113 3692 100%

Table 7: Crash type and severity of injury


A total of 899 young road (25 years and younger) users were involved in road injury crashes. As seen in Table 8 above, 87 were killed, 351 were seriously injured and 461 were slightly injured.

Figure 17 below shows a high number of road traffic fatalities among young people the past four years.

The highest number (103 young people killed) was recorded for 2011. The total number of young peo-ple seriously injured (1425) and slightly injured (2054) during the past four years is also high. This raises con-cern that the youth needs help for Vision 2030 to be achieved.

Figure 16: Collision types by severity of injury: fatal, serious and slight

1

0 57

4 7

13 1

137

4

10 12

120

59

37

54

222

206

76

78

670

75

141

121

369

0 100 200 300 400 500 600 700 800

Approach at angle: both travelling straight

Approach at angle: one or both turning

Head on

Other/unknown (Specify)

Rear end

Sideswipe: opposite direcJons

Sideswipe: same direcJon

Single vehicle overturned

Turn right in face of oncoming traffic

With animal (Specify)

With Fixed Object (Specify)

With pedestrian

Slight Injuries Serious Injuries FataliJes

Table 8: Young people killed or injured by road traffic crash type

Type of crash Killed Serious Slight TotalApproach at angle: both travelling straight 0 6 9 15Approach at angle: one or both turning 0 1 9 10Head on 9 12 20 41Rear end 0 20 38 58Sideswipe: opposite directions 0 7 10 17Sideswipe: same direction 0 7 11 18Single vehicle overturned 16 120 124 260Right turn in the face of oncoming traffic 1 4 11 16Collision with animal (specify) 3 6 19 28Collision with fixed object (specify) 4 9 23 36Collision with pedestrian 49 125 143 317Collision with train 1 0 2 3Other/unknown (specify) 4 34 42 80Total 87 351 461 899


0

100

200

300

400

500

600

2009 2010 2011 2012

fatal serious slight

Figure 17: Collision types by severity of injury: fatal, serious and slight

Table 9 above shows that the highest number of injury crashes (231) and the highest number of fatalities (48) was recorded in July, followed by March, June and De-cember. Despite the comparatively low number of injury crashes in January (178) and December (182) these traf-fic accidents translated into a substantial number of fa-

talities (56), serious injuries (215) and slight injuries (329). Other months with a considerable death toll on the roads were July (48), March (46) and September (42). As for seri-ous and slight injuries, the highest numbers were record-ed for July (137 seriously injured) and April (203 slightly injured).

Month Injury Crashes Fatalities Serious SlightJanuary 178 21 122 142February 215 26 101 176March 188 46 68 198April 223 30 121 203May 208 31 124 179June 229 36 119 189July 231 48 137 193August 208 16 132 201September 224 42 130 165October 203 27 105 182November 172 25 84 156

December 182 35 93 187

Total 2461 382 1336 2171

Table 9: Crashes and Injury severity by month


From the statistics above and similar data in previous Road Accident Reports it becomes clear that March, April, June, July, November and December are the months in which targeted road safety programmes could effectively reduce the number of crashes and resultant

casualties. However, the considerable monthly variations suggest that measures to reduce road crashes should be taken throughout the year and not only during the in-dicated months and holiday seasons.

Figure 18: Injury severity by month

21 26 46

30 31 36 48

16 42

27 25 35

122 101

68

121 124 119 137 132 130

105 84 93

142

176 198 203

179 189 193 201

165 182

156

187

0

50

100

150

200

250

January

February

March

April

May

June

July

August

September

October

November

December

FataliFes Serious Slight

Table 10: Injury severity by day of the week

Day of the Week FatalitiesInjured Seriously

Injured Slightly Casualities

% Casual-ities

Pedes-trian Involved

Monday 43 191 330 564 14.5 107Tuesday 33 154 243 430 11.0 91Wednesday 48 142 262 452 11.6 99Thursday 38 177 275 490 12.6 105Friday 61 215 374 650 16.7 108Saturday 82 231 346 659 16.9 120

Sunday 78 226 341 645 16.6 88

Namibia 382 1336 2171 3889 100 718


Figure 19: Injury severity by day of the week

If the days of the week are subdivided into weekend (Fri-day, Saturday and Sunday) and the remaining week days, the number of fatal injuries sustained by road users adds up to 58% (221) for the weekend and 42%(161) for the re-maining week. The same number of people (672 or 50%) were seriously injured during weekends and during the remainder of the week. Most of the accidents involving

pedestrians were recorded on Mondays (107), Thurs-days (105), Fridays (108) and Saturdays (120). Sunday was the day with the lowest numberof pedestrian accidents. Apart from that, the weekend (Friday, Saturday and Sun-day) always poses a risk for road users, and interventions aimed at road safety and reducing crash rates must tar-get those days (as illustrated in Figure 19).

43 33 48 38 61

82 78

191 154 142

177 215 231 226

330

243 262 275

374 346 341

107 91 99 105 108 120 88

0

50

100

150

200

250

300

350

400


Fatali>es Injured Seriously Injured Slightly Pedestrian Involved

Time of Crash Fatal Serious Slight Total

00:01-02:00 10 48 66 124

02:01-04:00 7 19 26 52

04:01-06:00 12 29 48 89

06:01-08:00 33 97 173 303

08:01-10:00 36 76 169 281

10:01-12:00 22 113 153 288

12:01-14:00 51 211 289 551

14:01-16:00 48 185 228 461

16:01-18:00 56 191 376 623

18:01-20:00 62 184 297 543

20:01-22:00 31 120 216 367

22:01-24:00 14 63 130 207Total 382 1336 2171 3889

Table 11: Injury severity by time of the day


Figure 20: Injury severity by time of the day

Table 11 and Figure 20 illustrate the relationship between the time of the day and the severity of injury. As was in the previous year, the safest time to be on the road in 2012 was between 00:01 at night and 6:00 in the morning. From early morning onwards injury crashes increased steadily and peaked between 16:01 and 20:00. After that, traffic subsided and injury related crashes declined and

reach their lowest level between 2:01 and 6:00.The high-est number of fatal crashes (62 people killed) occurred between 18:01 and 20:00. Most of the crashes resulting in serious injury (211) occurred between 12:01 and 14:00, while most of the crashes resulting in slight injuries (376) happened at peak hour traffic between16:01 and 18:00.

10 7 12 33 36 22

51 48 56 62 31 14

48 19 29

97 76

113

211 185 191 184

120

63 66 26

48

173 169 153

289

228

376

297

216

130

0

50

100

150

200

250

300

350

400

00:01-‐2:00

2:01-‐4:00

4:01-‐6:00

6:01-‐8:00

8:01-‐10:00

10:01-‐12:00

12:01-‐14:00

14:01-‐16:00

16:01-‐18:00

18:01-‐20:00

20:01-‐22:00

22:01-‐24:00

Fatal Serious Slight

Week Weekend

Total % of Total Monday Tuesday Wednesday Thursday Friday Saturday Sunday00:01-02:00 71 82 72 67 81 88 78 539 3.02:01-04:00 31 28 34 32 40 46 35 246 1.404:01-06:00 64 47 44 44 50 46 64 359 2.006:01-08:00 223 181 197 194 219 204 167 1385 7.708:01-10:00 198 172 193 161 212 181 154 1271 7.110:01-12:00 227 215 209 221 237 222 190 1521 8.512:01-14:00 340 274 301 331 346 351 285 2228 12.514:01-16:00 322 300 299 310 390 290 282 2193 12.316:01-18:00 401 374 369 378 444 395 333 2694 15.118:01-20:00 381 341 376 333 453 384 352 2620 14.620:01-22:00 239 244 251 247 298 247 222 1748 9.822:01-24:00 167 143 162 147 163 166 140 1088 6.1Total 2664 2401 2507 2465 2933 2620 2302 17892 100

Table 12: Crashes by time and day of the week


Another way of looking at the correlation between time of crash and injury severity is the combination a particular time slot with a specific day of the week (Table 12). Thus, for example, the highest number of crashes(453) oc-curred on Friday evenings between 18:01 and 20:00,while the fewest crashes (28) happened early in the morning between 2:01 and 4:00 on Tuesdays. This manner of look-ing at the relationship between time and day of the week facilitates the identification of crash-prone travelling times, and such information could assist in the judicious deployment of road traffic patrol staff.

During weekends the overall safest travelling time was in the early morning between 2:01 and 6:00. In general, the most unsafe travel time during weekends was between 18:01 and 20:00. Saturdays from 10:01 until 22:00, should be avoided for long-distance travelling. Weekend trav-ellers returning to their home destinations on Sundays were at the highest risk of being involved in a road crash between 16:01 and 20:00. This is also illustrated in Figure 21.

Figure 21: Number of crashes by time of the day and day of the week

7131

64

223 198 227

340 322401 381

23916782

2847

181172

215

274 300

374341

244

143

72

3444

197193

209

301 299

369376

251

162

67

3244

194161

221

331 310

378

333

247

147

81

40

50

219212

237

346 390

444

453

298

163

88

46

46

204

181

222

351290

395

384

247

166

78

35

64

167

154

190

285282

333352

222

140

0

500

1000

1500

2000

2500

3000

00:01-2:00 2:01-4:00 4:01-6:00 6:01-8:00 8:01-10:0010:01-12:0012:01-14:0014:01-16:0016:01-18:0018:01-20:0020:01-22:0022:01-24:00



7. INJURY SEVERITY BY ROAD USER GROUPSRoad users are divided into three categories: drivers of any type of vehicle (motorists, motorcyclists and cy-clists), passengers and pedestrians.In 2012 a total of 25578 of drivers and 1438 pedestrians were involved in road crashes, while 1437 injured passengers were report-ed for the crashes for which the number of passengers per vehicle was recorded. Table 13 illustrates injury se-verity level by road groups. A total of 23427 drivers were reported not injured;1736 drivers were either killed, or

seriously or slightly injured.

Comparing the number of fatalities between all road user groups shows that fatal injuries were highest in the case of drivers (139) and lowest for pedestrians (126), while 131 passengers were killed as a result of road traffic acci-dents. The picture looks different when injury severity is expressed as a percentage per road user group.

As Figure 22 below shows, pedestrian injury resulting in death (16.6%) was almost twice as high as that of drivers (8.0%) and passengers (9.1%). The highest percentage of serious injuries sustained (40.8%) was recorded for pas-sengers, followed by pedestrians (36.8%) and drivers (27.8%). As for the percentage of slight injuries, drivers were the most affected (64.2%) while pedestrians consist 46.6% and passengers 50.1%. These percentages underline the fact that pedestrians and passengers stood more chance

of getting killed or injured in a road crash than drivers.

As in the previous years, male drivers (2 705) involved in injury crashes far outnumbered their female counterparts (291). This does not necessarily mean that men are more reckless drivers by nature, but rather points to the fact that considerably fewer women drive vehicles (see Table 14 and Figure 23).

Figure 22: Injury severity by road user group (percentage)

Unknown gender for drivers: 21

8.0

9.1

16.6

27.8

40.8

36.8

64.2

50.1

46.6

0.0 20.0 40.0 60.0 80.0 100.0 120.0

Drivers

Passengers

Pedestrians


Injury Severity Drivers Passengers Pedestrians TotalFatal 139 131 126 397Serious 482 586 279 1347Slight 1115 720 354 2189Total 1736 1437 759 3933Not Injured 23427 0 0 23427Unkown Injury 415 1 1 417Total 25578 1438 760 27777

Drivers Passengers Pedestrians TotalMale 2705 791 420 3916Female 291 512 233 1036Total 2996 1303 653 4952

Table 13: Injury severity by road user group

Table 14: Injury crashes of road users by gender


Figure 23: Injury crashes of road users by gender (percentage)

Figure 24(a): Driver injury status by gender (numbers)

Figure 24(b): Driver injury status by gender (%)

90%

61% 64%

10%

39% 36%

0%

20%

40%

60%

80%

100%

120%

Drivers Passengers Pedestrians

Male Female

129

435

983

8 42 127

0

200

400

600

800

1000

1200

Killed Serious Slight

Male Female

8.3 4.4

28.1 23.8

63.6 71.8

0.0

10.0

20.0

30.0

40.0

50.0

60.0

70.0

80.0

Male Female



Figure 25(a): Passenger injury status by gender (numbers)

Figure 25(b): Passenger injury status by gender (%)

74

334

416

51

226 253

0 50

100 150 200 250 300 350 400 450


Male Female

9.0 9.6

40.5 42.7

50.5 47.8

0.0

10.0

20.0

30.0

40.0

50.0

60.0

Male Female



Figure 26(a): Pedestrian injury status by gender (numbers)

Figure 26(b): Pedestrian injury status by gender (%)

85

173 187

33

92

119

0 20 40 60 80

100 120 140 160 180 200


Male Female

19.0 13.3

38.9 37.8 42.1

48.9

0.0

10.0

20.0

30.0

40.0

50.0

60.0

Male Female

Killed

Serious

Slight

In Figure 24(a), Figure 25 (a) and Figure 26 (a) road acci-dent injuries among road user groups are compared by gender. They show that more male than female road us-ers were killed. The ratio is similar with regard to serious and slight injuries.

Figure 24(b) and Figure 25(b) and Figure 26 (b) show an almost equal injury percentages for road users by gen-der (male/female). Among road user groups, pedestri-an fatalities were proportionally the higher than those of passengers and drivers respectively.


Figure 27: Collisions involving drivers by age category

Figure 28:Collissions involving pedestrians by age category

Figure 27 displays age categories for drivers involved in road collisions. The three prominent age groups are 15-29 years (797 crashes); 30-44 years (1279 crashes) and 45-59 years (530). Most of the pedestrians who were involved in road crashes are aged between 5 and 59 years (see

Figure 28). This is alarming because accidents included children who are generally more vulnerable, partly as a result of their lack of knowledge and skills to cope with the dangers on the road.

1 1

797

1279

530

112 23

0

200

400

600

800

1000

1200

1400

0-‐4

5-‐14

15-‐29

30-‐44

45-‐59

60-‐69

70+

36

124

196

96

42 27

15

0

50

100

150

200

250

0-‐4

5-‐14

15-‐29

30-‐44

45-‐59

60-‐69

70+


Figure 29: Collisions involving passengersby age category

As in the previous years, pedestrians under the age of 30 were the most vulnerable road users: 66.4% were in-volved in collisions. As for passengers, the age group between 15 and 29 years was the most affected by road accidents in 2012. This means that 45.1% of that age group was involved in vehicle collissions in 2012. Figure 30 compares age groups with injury severity of drivers. The risk of being killed or injured was the highest for driv-ers aged 30-44, followed by the age groups 15-29 and 45-59. The three age groups (15-59) combined had the

highest numbers of fatalities, serious and slight injuries. Road crashes involving drivers between the ages of 15 and 59 resulted in 112 deaths, 427 serious injuries and 1003 slight injuries. Since these age groups are consid-ered to be the most productive, the impact of deaths and injuries is particularly severe on the economy in general.

Figure 30 does not include 12 fatalities, 44 serious inju-ries and 62 slight injuries for drivers whose age was not documented.

Figure 30: Driver injury severity by age category

25

81

414

322

132

25 14

0

50

100

150

200

250

300

350

400

450

0-‐4

5-‐14

15-‐29

30-‐44

45-‐59

60-‐69

70+

0-4 5-14 15-29 30-44 45-59 60-69 70+Killed 1 0 38 48 26 7 1

Serious 0 0 139 199 89 13 2

Slight 0 1 299 514 190 42 8

0

100

200

300

400

500

600


Regarding passenger age groups, the highest number of casualties (Figure 31) was recorded for young adults between 15 and 29 years. The 15-29 age category suf-fered the highest number of fatalities (26), serious injuries (171) and slight injuries (234). A large number of fatalities and serious injuries was also recorded for passengers between the ages of 30-44.

As in the case of injured drivers, economically pro-ductive adults were among those most severely af-fected.Not included in Figure 31 are 45 fatalities, 181 se-rious injuries and 244 slightly injured passengers whose ages were not recorded. The interpretation in terms of passenger age groups and severity of injury should thus be treated with caution.

Figure 31: Passenger injury severity by age category

Figure 32: Pedestrian injury severity by age category

Figure 32 shows that the age groups 15-29 and 30-44 experienced the highest number of fatalities and seri-ous injuries. The number of pedestrians injured in road crashes started to decline for the age groups of 45 years and above. Excluded from Figure 32 are 22 fatalities, 63

serious and 105 slight injuries because these pedestri-ans’ ages were not recorded on the crash report form. Bearing these shortcomings in mind, the above statistics should be treated with caution.

0-‐4 5-‐14 15-‐29 30-‐44 45-‐59 60-‐69 70+ Killed 1 3 26 20 14 3 7

Serious 11 33 171 119 55 11 6

Slight 12 41 234 122 56 12 3

0

50

100

150

200

250

0-‐4 5-‐14 15-‐29 30-‐44 45-‐59 60-‐69 70+ Killed 8 16 36 18 8 5 7.8

Serious 16 54 71 33 23 15 4

Slight 15 59 99 50 13 8 5

0

20

40

60

80

100

120


14 cases of unknown vehicle type, 1 unknown serious injury

Table 15 shows that the highest number of fatal crashes involved light delivery vehicles (59) and the motor car/ station wagon category (56). Accidents with these two vehicle types also resulted in the large majority of seri-ous and slight driver injuries.Motor cars/ station wagons are the main means of transport in Namibia, followed by LDVs (light delivery vehicles) and sedan taxis.

Figure 33 depicts the vehicle types associated with the six highest number of driver fatalities: LDVs (59), motor cars/station wagon (56), sedan taxis (4), Truck: articulat-ed multiple (4),minibus and motor cycle125cc and less (2 drivers), articulated truck (1).

Figure 33: Driver casualties by selected vehicle types

59

3

56

4

1

4

204

13

156

33

11

5

416

24

478

69

20

16

0 100 200 300 400 500 600

Light delivery vehicle

Minibus

Motor car / StaAon wagon

Sedan Taxi

Truck: ArAculated

Truck: ArAculated mulAple

Slight Serious Killed

Table 15: Driver injury severity by vehicle type

Vehcile Type Killed Serious Slight TotalAnimal-drawn vehicle 0 1 1 2Bicycle 0 4 7 11Bus 1 5 9 15Caravan / trailer 0 0 1 1GVM>3500 kg 3 9 12 24Light delivery vehicle 59 204 416 679Midibus 1 8 6 15Minibus 3 13 24 40Minibus taxi 1 0 7 8Mobile equipment 0 0 0 0Motor car / station wagon 56 156 478 690Motor Cycle: 125cc and less 3 11 11 25Motor Cycle: more than 125cc 0 10 11 21Panel van 0 3 6 9Quadru-cycle 0 1 3 4Sedan taxi 4 33 69 106Tractor 0 0 2 2Truck: Articulated 1 11 20 32Truck: Articulated multiple 4 5 16 25Other 4 7 14 25Total 139 481 1113 1733


Table 16 shows that 61 cyclists were involved in road crashes, leaving 3 of them dead, 26 seriously injured and 32 slightly injured. Some of the most severe accidents occured when a motorist collided with a cyclist on a rural

road after dark because the motorist was unable to see the cyclist. Figure 34 displays the data contained in Table 16.

Figure 34: Driver injury severity

133

448 1067

3

26 32

1

10

100

1000

10000


Motorist

Cyclist

Table 16: Driver injury severity

Driver type Fatal Serious Slight TotalMotorist 133 448 1067 1648Cyclist 3 26 32 61Unknown 4 7 14 25Total 139 481 1113 1733


Table 17: Passenger injury severity by vehicle type

There were 14 cases of unknown vehicle type and 2 unknown slight injuries

Table 17 and Figure 35 show that 52 passenger fatali-ties resulted from collisions involving motor cars/station

wagons; 35 from light delivery vehicles and 25 from mini-buses.

Figure 35: Passenger casualties by selected vehicle types

3

35

25

52

5

10

0 50 100 150 200 250 300 350

GVM>3500 kg


Minibus

Motor car / Sta@on wagon

Sedan Taxi

Other


Killed Serious Slight TotalAnimal-drawn vehicle 0 0 0 0Bicycle 0 0 0 0Bus 0 1 5 6Caravan / trailer 0 0 0 0GVM>3500 kg 3 5 6 14Light delivery vehicle 35 324 333 692Midibus 0 6 4 10Minibus 25 29 30 84Minibus taxi 0 0 7 7Mobile equipment 0 0 0 0Motor car / station wagon 52 150 225 427Motor Cycle: 125cc and less 0 5 0 5Motor Cycle: Above 125cc 0 1 0 1Panel van 0 2 7 9Sedan taxi 5 30 45 80Tractor 1 0 3 4Truck: articulated 0 5 4 9Truck: articulated multiple 0 1 3 4Other 10 27 42 79

Total 131 586 714 1431


More than one fifth of the people killed on Namibia’s roads each year are not travelling in a car, on a motor-cycle or even on a bicycle – they are pedestrians. Pe-destrian deaths and injuries are often preventable, and proven interventions exist, yet in many locations pedes-trian safety does not attract the attention it merits. Suc-cessful interventions to protect pedestrians and promote safe walking require an understanding of the nature of the risk factors causing pedestrian road accidents. The number of pedestrians who died in road crashes was 129

in 2011 and 120 in 2012. As for vehicle types, the risk of being hit by a motor car/ station wagon or by a light de-livery vehicle is the highest, as illustrated by Table 18 and Figure 36 below.

Factors like inadequate enforcement of traffic laws as well as unsafe driving practices and driver distraction, e.g. by using a mobile phone, are the main contributors to pedestrian road accidents.

Killed Serious Slight TotalAnimal-drawn vehicle 0 2 0 2Bicycle 0 0 0 0Bus 1 0 0 1Caravan / trailer 0 0 0 0GVM>3500 kg 0 1 2 3Light delivery vehicle 44 95 91 230Midibus 3 6 5 14Minibus 4 8 10 22Minibus taxi 0 1 2 3Mobile equipment 0 0 0 0Motor car / Station wagon 46 120 176 342Motor Cycle: 125cc and under 0 0 0 0Motor Cycle: Above 125cc 0 1 1 2Panel van 0 1 2 3Quadru-cycle 0 0 0 0Sedan taxi 9 27 39 75Tractor 0 2 0 2Truck: Articulated 1 4 3 8Truck: Articulated multiple 5 0 0 5Other 7 2 6 15Total 120 270 337 727

Table 18: Pedestrian injury severity by vehicle type


Figure 36: Pedestrian casualties by selected vehicle types

44

3

4

46

9

1

5

95

6

8

120

27

4

0

91

5

10

176

39

3

0

0 20 40 60 80 100 120 140 160 180 200


Midibus

Minibus

Motor car / StaAon wagon

Sedan Taxi

Truck: ArAculated

Truck: ArAculated mulAple



8. PERFORMANCE INDICATORSRoad users action, i.e. what they were doing at the time of a collison, is an important factor in determining how and why the collision occured. Drivers travelling straight was the prevalent type of action which affected other

road users as well. The reasons why travelling straight re-sults in more collisions than other driver actions were not investigated or recorded on the data collection form..

Driver action – i.e.what the driver was doing at the time of the crash – is an important factor in determining how and why the crash occurred. Table 19 illustrates the num-ber of casualties and the severity of injuries sustained by drivers, passengers and pedestrians as result of these actions.

“Travelling straight” certainly was the most common ac-tion of drivers involved in crashes that caused deaths and injuries (2774 casualties), followed by “turning right” which resulted in 318 casualties and “swerving”. Table 20 shows the severity of injuries sustained by drivers, passengers and pedestrians as a result of a crash caused by one or both drivers travelling straight.

Table 19: Driver action and road users injured or killed

Driver Passenger Pedestrian TotalTravelling straight 1306 912 556 2774Turning right 234 67 17 318Other 77 162 26 265Swerving 53 59 12 124Overtaking (right) 58 33 10 101Turning left 54 37 13 104Avoiding object 41 52 5 98Reversing 29 2 43 74Stationary e.g.waiting 38 13 8 59Parked 37 9 11 57Diverging 13 4 5 22Overtaking (Left) 24 5 9 38Slowing down 19 9 2 30U-Turn 18 13 1 32Entering traffic flow 13 4 2 19Busy parking 8 9 3 20Sudden start 7 6 7 20Sudden stop 12 6 1 19Changing lane 3 5 2 10Merging 1 1 0 2Total 2045 1408 733 4186

Road user Killed Serious Slight TotalDrivers 127 440 1062 1629Passengers 131 498 597 1226Pedestrians 108 244 278 630Total 367 1182 1937 3486

Table 20: Road users injured or killed by driver travelling straight, turning right or swerving


If the number of casualties resulting from selected driver actions is expressed in percentages (Figure 37), the most risky action for drivers themselves was turning right or avoiding an object. As for turning right at a T-junction, the driver is at risk of being hit by an oncoming vehicle that

crashes into the right side of his vehicle. Avoiding an ob-ject is most often associated with the driver losing control over the vehicle, which in turn may lead to bumping into a fixed object, or worse, cause the vehicle to overturn..

Figure 37: Selected driver actions by percentage of road user casualties

Passengers were at the greatest risk when the driver was overtaking (right), avoiding an object, travelling straight or swerving.

Pedestrians were at the greatest risk of being hit and in-jured when they were overlooked by the driver because they walked behind the reversing car, followed by the

driver being busy parking the car or getting out of the parking space. “Travelling straight” was the thirddriver action which was particularly dangerous for pedestri-ans. Most pedestrian accidents seem to have happened because pedestrians were crossing the road randomly (not at a pedestrian crossing), which completely exposes them to a vehicle travelling straight in either direction.

Figure 38: Collision percentage of drivers tested for alcohol use

47.1

73.6

29.1 42.7

57.4 51.9 41.8 39.2 64.4 64.9 59.1

32.9

21.1

61.1 47.6

32.7 35.6 53.1

2.7

22.0 15.8 18.2

20.0 5.3 9.8 9.7 9.9 12.5 5.1

58.1

13.6 19.3 22.7

0% 10% 20% 30% 40% 50% 60% 70% 80% 90%

100%

Trav

ellin

g straight

Turning Righ

t

Other

Swerving

Ove

rtak

ing (Right)

Turning Le

C

Avoiding

objec

t

Reve

rsing

StaJ

onary e.g.waiJn

g

Parked

Dive

rging

Driver Passenger Pedestrian

Tested, 1795, 30%

Not Tested, 4197, 70%


It is a well-known fact that excessive alcohol consump-tion causes loss of coordination, impaired judgement and distorted vision. Motorists under the influence of alcohol pose a great risk to other road users and many serious accidents have been caused by drunk driving. Random testing for alcohol should be done on a regular basis and not only at the start and beginning of holidays and during festive seasons and long weekends. As not-ed in an earlier statistical report, random checkpoints for breath testing help to reduce alcohol-related collisions.

A total of 25578 drivers were involved in road collisions, but for only 30% of them (5992 drivers) the accident form

indicated whether the driver was tested for alcohol intox-ication. As Figure 38 shows, 70% of the 5992 drivers were not tested for alcohol use. Since breathalyser results have not always been correctly recorded a proper anal-ysis cannot be conducted based on this data. Problems experienced with the accurate completion of the NRAF and data capturing challenges may also have contribut-ed to the scarceness of this particular data.

The National Forensic Science Institute keeps records of the blood tests of motorists suspected of alcohol use, and more reliable statistics can be obtained there.

Figure 39: Drivers and passengers who reported wearing seatbelts at time of crash

Wearing sealtbelts is mandatory in Namibia for drivers of all types of vehicles and for the occupants of front and back seats in passenger vehicles. Although re-search has shown that in the event of a traffic accident seatbelts can reduce fatalities by 40–50%, non-com-pliance is still rampant, especially in minibuses and mi-dibuses that convey scores of passengers. It appears

that proposed safety regulations regarding mandatory seatbelts for passengers in buses have not yet been promulgated. Data on seatbelt compliance has been poorly com-pleted on the crash forms. As illustrated in Figure 39, it appears that in terms of wearing seatbelts drivers (60.4%) were more compliant than passengers (17%).

Yes, 72, 17%

No, 353, 83%

Yes, 641, 60,4%

No, 420, 39,6%

Passenger use of seatbelts

Passenger use of seatbelts


Ignoring traffic safety rules can result in pedestrian col-lisions which could have been prevented if less speed and haste had been involved. Table 21 displays the time of the day when pedestrian crashes occurred and the

severity of injuries sustained, with the highest number of serious and slightly injured pedestrians reported from 12:01-22:00.

Figure 40: Pedestrians killed and injured by time of day

Figure 40 illustrates the fluctuations in the number of pedestrian fatalities and serious injuries during a 24-hour cycle. Three peaks for serious injuries are evident: from 6:01-8:00, when adults and children are on the way towork or to school; from 12:01-14:00, which could be at-tributed to a larger number of children returning home from school or playing on the streets; from 16:01-18:00, the afternoon rush hour traffic when less attention is paid to traffic rules as everyone hastens to get home.

The early evening from 18:01 to 20:00 was marked by a steep increase in pedestrian fatalities. This could be at-tributed to more pedestrians walking in the road at that time and/or to the fact that the evening traffic has not quite subsided. Poor visibility, dark clothing of pedestri-ans and alcohol use couldalso be factors contributing to the increase of severe pedestrian crashes at that time of the day.

3 0 3

13 12 10 16

8

26

17 13

7 6 5 6

25

15

27 35

42 43 39

22 14

6 2

7

30 28 26

49

35

53 57

32 29

0

10

20

30

40

50

60

00:01-‐2:00

2:01-‐4:00

4:01-‐6:00

6:01-‐8:00

8:01-‐10:00

10:01-‐12:00

12:01-‐14:00

14:01-‐16:00

16:01-‐18:00

18:01-‐20:00

20:01-‐22:00

22:01-‐24:00


Time of Crash Killed Serious Slight Total00:01-02:00 3 6 6 1502:01-04:00 0 5 2 704:01-06:00 3 6 7 1606:01-08:00 13 25 30 6808:01-10:00 12 15 28 5510:01-12:00 10 27 26 6312:01-14:00 16 35 49 10014:01-16:00 8 42 35 8516:01-18:00 26 43 53 12218:01-20:00 17 39 57 11320:01-22:00 13 22 32 6722:01-24:00 7 14 29 50Total 126 279 354 759

However, this data is entirely inadequate for planning seatbelt strategies.

Pedestrians are the most vulnerable road users. They are not as protected as motorists are and they lack the speed and mobility of cyclists and other two-wheelers to escape a dangerous encounter with

a vehicle. Pedestrians face the highest risk of death or severe injury when exposed to high speed impact. In order to afford pedestrians some protection against road accidents, information such as the time of the crash, the pedestrian’s location, position and action at the time of the crash is needed to devise appropriate countermeasures.

Table 21: Pedestrian severity of injury by time of the day


Figure 41: Position of pedestrian

Figure 42: Location of pedestrian

Figure 43: Pedestrian action

Median, 20, 19%

Roadway, 57, 52%

Shoulder of road, 20, 18%

Sidewalk/verge, 12, 11%

Not at crossing, 91, 96%

Within 50m of crossing, 2, 2%

Within marked pedestrian cross,

2, 2%

34

23

63

1

52

0

5

10

15

20

25

30

35

40

Walking Running Standing Playing Working Si8ng Laying


Figures 41, 42 and 43 deal with circumstances that con-tributed to pedestrian crashes and their severity. Each of these factors is discussed separately, although they need to be considered together to reconstruct a crash in order to identify appropriate countermeasures that will create safer passage for pedestrians.

Half of the pedestrians (52%) involved in a traffic accident were on the actual road when they were hit or run over by a vehicle, while roughly a fifth (19%) were on the median strip and another fifth (18%) were on the shoulder of the road.

The majority of pedestrians did not cross the road at a marked pedestrian crossing but chose to cross within 50 metres of it (2%) or still further away from it (96%), thus risking their lives unnecessarily. Only 2% adhered to the traffic rules and used a pedestrian crossing (Figure 42).

The most predominant action of “walking” (34) is a human activity that normally would not endanger the life of a pe-destrian (Figure 43). However, the chances of being hit by a passing vehicle are far greater when walking across

the road somewhere other than at a marked pedestrian crossing. It is self-evident that running across the street (23) is a high-risk action, as is standing in the road (6).

As mentioned above, if pedestrian actions are analysed together with locations a difference can be seen between pedestrians endangering their life through their actions and pedestrians who comply with traffic rules. Table 22 depicts a combination of actions and location.

Pedestrians who were walking or running on the road or within 50 metres of a pedestrian crossing were at a great-er risk of being hit by a motorist than those who crossed the road at the marked pedestrian crossing. If pedestrian lives are to be saved, the correct and accurate comple-tion of the accident forms should be strictly enforced so that reliable information can be extracted and used for planning appropriate road safety measures to reduce the number of pedestrian deaths and injuries on Namibian roads. Furthermore, the public should be made aware that timely and accurate reporting of collisions with pe-destrians is mandatory.

Pedestrian Action

Pedestrian Location

With

in m

arke

d pe

-de

stria

n cr

ossi

ng

With

in 5

0m o

f cr

ossi

ng

Not

at c

ross

ing

Tota

l

Walking 1 1 32 34Running 1 1 21 23Standing 0 0 6 6Playing 0 0 3 3Working 0 0 1 1Sitting 0 0 5 5Laying 0 0 2 2Total 2 2 70 74

Table 22: Pedestrian action by pedestrian location


Since multiple types of damage can be found on a ve-hicle after a crash, the total number of damages to vehi-cle (35275) is far greater than the number of vehicles in-volved in collisions (25440). Looking at detailed damage to vehicles together with driver action facilitates recon-struction of the accident. Most vehicles were damaged

on the front: right, left, centreand right mid-front. This corresponds with “travelling straight”, the predominant action of drivers (Table 23). No details on damage were recorded for 2515 cars (7.1%) and 1235 (3.5%) vehicles re-mainedundamaged.

Damage Total Total %Right front 4793 13.4Left front 3587 10.1Front centre 3232 9.1Right mid-front 2597 7.3Back right 2383 6.7Multiple 2151 6.0Back left 1950 5.5Back centre 1894 5.3Left mid-front 1735 4.9Bonnet 1719 4.8Right mid-back 1578 4.4Left mid-back 1301 3.6No damage 1235 3.5Windscreen / windows 965 2.7Rolled 535 1.5Roof 431 1.2Boot 357 1.0Undercarriage 268 0.8Caughtfire 49 0.1No details 2515 7.1Total 35275 99.0

Table 23:Damages to vehicles


Table 24 shows the top ten crash locations and accident severity outside towns and cities. The most crashes oc-curred on the main road between Kalkfeld and D2483, resulting in 29 fatalities and 103 injured road users. The Kalkfeld and Karibib-Swakopmund roads recorded more fatalities, followed by Omaruru-Karibib road in the Top Ten crash locations and crash severity outside town. Traffic volumes are very high on these roads, especially during weekends when many people travel north. This road also has a bad history of domestic animals being stranded in the road during the night (especially donkeys and cattle) and the chances of hitting one of them are

very high. It has been suggested that in order to improve road safety conditions authorities should consult with members of the community to find a solution regarding the animals in the road.

Figure 44 shows the percentage of injury crashes for the Top Ten crash locations. The chances of being involved in an accident on the road between Oshivelo and Tsumeb was 32%. Road users travelling on the Omaruru-Karibib and Oshivelo-Ondangwa roads were taking a similar risk of being killed or injured in a road crash (31% in both cas-es).

Figure 44: Top ten locations outside town/city by percentage of injury crashes

17%

28%

11%

27%

21%

32%

31%

20%

31%

21%

0% 5% 10% 15% 20% 25% 30% 35%

Kalkfeld-‐D2483

D2512-‐D2804

D2505-‐M0063

Outjo-‐Ruacana

Outapi-‐Ogongo

Oshivelo-‐Tsumeb

Oshivelo-‐Ondangwa

Karibib-‐Swakopmund

Omaruru-‐Karibib

Windhoek-‐Gobabis

Road No.

Between (towns/city) Fatalities Serious Injuries

Slight Injury

Injury Crashes

Damage only

Injury crashes & Damage Total

% Injury Crashes of total

D2414 Kalkfeld-D2483 29 54 49 35 209 244 17%D2512 D2512-D2804 4 20 24 26 92 118 28%D2427 D2505-M0063 0 2 6 7 61 68 11%M0067 Outjo-Ruacana 4 18 11 15 56 71 27%M0092 Outapi-Ogongo 1 24 34 36 171 207 21%T0110 Oshivelo-Tsumeb 3 24 26 25 78 103 32%T0111 Oshivelo-Ondangwa 3 32 49 45 147 192 31%T0202 Karibib-Swakopmund 21 29 17 25 122 147 20%T0203 Omaruru-Karibib 7 13 20 17 55 72 31%T0601 Windhoek-Gobabis 4 24 23 27 127 154 21%

Table 24: Top ten crash locations and crash severity outside town/town


Looking at the top nine crash locations outside towns by number of pedestrians killed or injured, the Oshivelo - Ondangwa and Kongola-Katima Mulilo road recorded the highest number of fatalities (3) among people walk-ing on foot.

Table 26 shows the top ten crash locations inside towns or cities. All ten streets are found in Windhoek, the capi-

tal of Namibia. The road with the highest risk is Indepen-dence Avenue in the city centre. Out of the 422 crashes recorded for this busy road,19 were injury crashes.

Among the other most crash-prone streets were Sam Nujoma Drive with 248 people injured as well as damag-es, Robert Mugabe Avenue with 190 crashes and Man-dume Ndemufayo Avenue with 176 crashes.

Table 26: Top ten street locations and crash severity inside town/city

Street Local authorityFatal crashes

Serious crashes

Slight crashes

Injury crashes

Damage only

Injury & Damage Total

Centaurus Windhoek 0 0 5 4 124 128F Nightingale Windhoek 0 5 16 14 92 106Hendrik Witbooi Windhoek 0 0 1 1 98 99Independence Windhoek 4 7 11 19 403 422Mandume Ndemufayo Avenue Windhoek 0 4 14 13 163 176Nelson Mandela Windhoek 0 0 3 3 114 117Robert Mugabe Avenue Windhoek 0 0 7 6 184 190Sam Nujoma Drive Windhoek 0 2 7 7 241 248Western Bypass Slip Windhoek 1 1 8 10 95 105Monte Christo Windhoek 1 6 5 10 82 92

Table 25:Top collision outside town/city by number of pedestrian killed or injured

Road No. Between (towns/city) Fatalities Serious Injuries Slight Injuries TotalT0111 Oshivelo - Ondangwa 3 0 1 4T0806 Kongola-Katima Mulilo 3 0 0 3M0100 Opuwo-M0067 1 1 0 2T0104 Rehoboth-Kalkrand 1 1 0 2D3641 D3655-M0092 1 0 0 1D3831 M0114-M0113 1 0 0 1T0110 Oshivelo - Tsumeb 1 0 0 1T0112 Ondangwa-Engela 1 0 0 1T0807 Katima Mulilo-Ngoma 1 0 0 1Total 13 2 1 16


Walking is the first thing an infant wants to do and the last thing an old person wants to give up. Walking is the exercise that does not need a gym. It is the prescription without medicine, the weight control without diet, and the cosmetic that can’t be found in a chemist’s shop.

Table 27 shows the top street locations inside town/city by number of pedestrians who got injured or killed due

to walking near, across or on the road in 2012. Wind-hoek’s Independence Avenue posed the highest risk to this vulnerable group of road users, claiming 4 lives and causing 15 injuries of which 7 were serious. Katima Muli-lo recorded 4 fatalities and 10 injuries. In Rundu town 5 and 9 pedestrians were seriously and slightly injured respectively.

Table 27: Top street locations inside town/city by number of pedestrians killed or injured


Namibia has a population of around 2.3 million, some 280,583 vehicles and a well-established road infrastruc-ture network of about 7165.2 kilometres of surfaced roads and 37766.5 kilometres of unsealed roads, mak-ing a total of 44931.7 kilomtres, some of which need urgent rehabilitation, (Road Authority Annual Report of 2013/2014). Because of the seriousness and complexity of the road safety problem, a set of coordinated inter-ventions, cutting across many sectors and disciplines, has been formulated. A Decade of Action for road safety during the period 2011-2020 is being implemented, providing for road safety management actions, education, enforcement, engineering (vehicles, roads) and emergency response.

The problem of road traffic crashes and injuries does not belong to any specific agency, either at national or international levels. Instead, responsibility for dealing with various aspects of the problem-including the design of vehicles, the design of road networks and roads, urban and rural planning, the introduction and enforce-ment of road safety legislation, and the care and treatment of crash survivors-is divided among many different sectors and organisations. Usually there had been no leader to ensure that they coordinate their efforts and address the problem as a whole. In this environment it is not surprising that political will to develop and imple-ment effective road safety policies has frequently been insufficient.

The important role that public health can play in the prevention of road traffic injuries includes the collection and analysis of data in order to demonstrate the health and economic impact of road traffic crashes; research on risk factors; the implementation, monitoring and evaluation of interventions; the delivery of appropriate pri-mary preventions, care and rehabilitation for injured people; and advocacy for greater attention to the problem.

The government can make road safety a political priority and support research on risk factors, on develop-ment factors and on the development, implementation, monitoring and evaluation of effective interventions, including improved care. Also, communities, civil society groups and individuals can encourage governments to make the road safe; identify local safety problems; encourage enforcement of traffic safety laws and regu-lations, and campaign for firm and swift punishment of traffic offenders; behave responsibly by i.e. abiding to the speed limits on the roads; never driving when over the legal alcohol limit; always wearing a seatbelt and properly restraining children, even on short trips; wearing a crash helmet when riding a two-wheeler.

The road crash statistics presented in this report are solely based on the information obtained from the crash forms. It is suggested that future reports should endeavour to complement this information with the statistics provided by related agencies such as the Motor Vehicle Accident Fund, the Ministry of Health, the Traffic De-partments of Municipalities and the National Forensic Science Institute. Furthermore, additional research into specific areas of concern that emerged from the analysis of the NRAF data could be of great value to those tasked with designing and implementing remedial measures.

The total number of road crashes registered at various police stations in Namibia and processed by the NRSC for 2012 amounted to 17,892. The traffic volume on Namibian roads is increasing steadily as documented by the 4% growth in the number of registered vehicles and 2.3% escalation in VKT from 2011. Compared to the previ-ous year (2011), this presents an increase in road crashes of 1.4% over 12 months. Over the span of 10 years the number of crashes has risen on average by 5.3%. This upward trend reflects a similar escalation in the number of registered vehicles on the road (4.7%) and an overall growth (5.8%) in the number of vehicle kilometres trav-elled (VKT) from 2003 to 2012.

Although the number of crashes is high, a drop in the casualty rate was recorded. This indicates that interven-tions by the NRSC and law enforcements have been progressing and effective road safety awareness has been raised among road users.

8. CONCLUSIONS AND RECOMMENDATIONS


Namibia’s urban centres are growing rapidly as the population increases and as more people flock to their cit-ies in search of better education and work opportunities. The regions developing the most,i.e.Khomas, Erongo and Oshana, have the largest urban centres, the largest number of registered vehicles as well as the highest incidence of road crashes. As this trend is set to continue into the foreseeable future, local authorities need to manage existing road infrastructure to promote safety, through the provision of safer routes for pedestrians and cyclists, traffic-calming measures, low-cost remedial measures and crash-protective roadsides(for example, specific groups, such as commercial vehicle drivers, who are most likely to be first on the scene of crashes, could be provided with first aid training, and health professionals could be provided with specialized training in trauma care).

The Khomas, Oshana and Erongo regions recorded the highest number of pedestrians involved in road crash-es. Most disturbing is the fact that 64.8% of those injured were under the age of 29, an alarmingly high figure. Reduction or elimination of the risks faced by pedestrians is an important and achievable policy goal. Pedestri-an collisions, like other road traffic crashes, should not be accepted as inevitable because they are, in fact, both predictable and preventable. There is a close association between the walking environment and pedestrian safety. Walking in an environment that lacks pedestrian infrastructure and that permits the use of high-speed vehicles increases the risk of pedestrian injury. The risk of a motor vehicle colliding with a pedestrian increases in proportion to the number of motor vehicles interacting with pedestrians

This report attempts to contribute to the body of knowledge on road safety. The NRSC hopes that this report will inspire and facilitate increased cooperation, innovation and commitment to preventing road traffic crash-es in Namibia. Road traffic crashes are predictable and therefore preventable. In order to combat the prob-lemthere needs to be close coordination and collaboration, using historic and integrated approaches, across many sectors and many disciplines.


APPENDIX I: COUNTRY OF ORIGIN AND SEVERITY OF DRIVER INJURY Country of origin Killed Serious Slight No Injury Unknown TotalAfghanistan 0 0 0 2 0 2Andorra 0 0 1 1 0 2Angola 1 3 9 120 0 133Argentina 0 0 0 1 0 1Australia 0 0 1 22 0 23Austria 0 0 0 4 0 4Bahamas 0 0 1 0 0 1Bangladesh 0 0 0 1 0 1Belgium 0 0 2 12 0 14Botswana 0 0 0 24 0 24Brazil 0 0 1 8 0 9Bulgaria 0 0 1 2 0 3Burundi 0 1 1 10 0 12Cameroon 0 0 0 2 0 2Canada 0 0 1 10 0 11Chad 0 0 0 2 0 2Chile 0 0 0 3 0 3China 1 1 3 67 0 72Congo (Brazzaville) 0 1 0 15 0 16Congo, Democratic Republic of the 0 0 0 11 0 11Cuba 0 0 0 3 0 3Denmark 0 0 0 8 0 8Egypt 0 0 1 4 0 5Estonia 0 0 0 1 0 1Ethiopia 0 0 1 1 0 2Eritrea 0 0 0 1 0 1Finland 0 0 0 3 0 3France 0 2 2 19 0 23Gabon 0 0 0 1 0 1Gambia 0 0 0 2 0 2Georgia 0 0 0 1 0 1Germany 0 0 13 192 0 205Ghana 0 0 1 4 0 5Honduras 0 0 1 4 0 5Hungary 0 0 0 1 0 1Iceland 0 0 0 1 0 1India 0 0 1 19 0 20Indonesia 0 0 0 2 0 2Ireland 0 0 0 1 0 1Israel 0 0 1 1 0 2Italy 0 2 5 13 0 20Japan 0 1 1 2 0 4


Country of origin Killed Serious Slight No Injury Unknown TotalKenya 0 0 0 22 0 22Lesotho 0 0 0 3 0 3Liberia 0 0 0 1 0 1Libya 0 0 0 1 0 1Lithuania 0 0 0 1 0 1Macedonia, Former Yugo-slav Republic of 0 0 0 4 0 4Mali 0 0 0 1 0 1Malawi 0 0 0 7 0 7Malaysia 0 0 0 1 0 1Mauritania 0 0 0 1 0 1Morocco 0 0 0 1 0 1Mozambique 0 0 1 3 0 4Myanmar 0 0 0 3 0 3Namibia 127 446 991 21468 0 23032Nepal 0 0 1 0 0 1Netherlands 0 1 0 19 0 20New Zealand 0 0 0 5 0 5Niger 0 0 0 1 0 1Nigeria 0 1 0 24 0 25Norway 0 0 0 3 0 3Pakistan 0 0 0 3 0 3Philippines 0 0 0 2 0 2Portugal 0 0 1 17 0 18Romania 0 0 0 3 0 3Russia 0 1 2 19 0 22Rwanda 0 0 0 2 0 2Sierra Leone 0 0 0 1 0 1Solomon Islands 0 0 0 3 0 3Somalia 0 0 0 1 0 1South Africa 8 11 39 539 0 597Spain 0 0 0 13 0 13Sudan 0 0 0 1 0 1Swaziland 0 0 0 5 0 5Sweden 0 1 0 2 0 3Switzerland 1 1 0 15 0 17Taiwan 0 0 0 3 0 3Tanzania 0 0 0 12 0 12Uganda 0 0 1 10 0 11Ukraine 0 0 0 2 0 2United Kingdom 0 1 2 23 0 26United States 0 0 2 23 0 25Zambia 0 0 5 71 0 76Zimbabwe 0 5 18 242 0 265Total 139 479 1111 23182 0 24911


Town StreetDay of the-Week

Injured Ped Age

Injured Ped Gender

InjuredPed Injury Severity

Arandis Hospital Road Saturday Unknown Male SeriousArandis Geel Hout Road Saturday 3 Male SeriousArandis Hospital Road Saturday Unknown Male SeriousArandis Hospital Road Saturday 22 Female SeriousDivundu Divundu_rd 1 Friday 16 Female KilledDivundu Divundu_rd 1 Friday Unknown Unknown KilledDivundu Divundu_rd 1 Sunday Unknown Male SeriousEenhana Unknown Monday 15 Female SlightEenhana Unknown Tuesday 14 Male SeriousEenhana Unknown Friday 32 Male SeriousEenhana Unknown Wednesday 18 Male KilledEenhana Unknown Wednesday 66 Female SlightEenhana Unknown Thursday 39 Female KilledEenhana Unknown Saturday Unknown Unknown KilledEenhana Unknown Saturday 35 Male SeriousEenhana Unknown Wednesday 2 Male SeriousEenhana Unknown Tuesday 25 Female SlightEenhana Unknown Monday 12 Female KilledEenhana Unknown Saturday 64 Male SlightEenhana Unknown Thursday Unknown Male SeriousEenhana Unknown Friday 26 Female SlightEenhana Unknown Sunday 23 Male SeriousEenhana Unknown Saturday 20 Male SeriousEenhana Unknown Friday 29 Male SlightEenhana Unknown Tuesday 22 Female SlightEenhana Unknown Wednesday Unknown Female KilledEenhana Unknown Sunday Unknown Male KilledEenhana Unknown Friday 63 Female SeriousEenhana Unknown Sunday 8 Male SeriousEenhana Unknown Saturday 19 Male KilledEenhana Unknown Tuesday 62 Male SeriousEenhana Unknown Saturday 33 Male SeriousEenhana Unknown Saturday 26 Male SlightEenhana Unknown Sunday 27 Female SlightEenhana Unknown Saturday 44 Male KilledEenhana Unknown Tuesday 22 Female SlightEenhana Unknown Tuesday 31 Female SlightEenhana Unknown Tuesday 28 Female SeriousEenhana Unknown Tuesday 1 Male KilledEenhana Unknown Tuesday 42 Male SeriousEenhana Unknown Tuesday 34 Female SlightGobabis A Kamburona Street Thursday 29 Female SeriousGobabis Station Road Monday 27 Male SlightGobabis Church Street Wednesday Unknown Female Slight

APPENDIX II: PEDESTRIAN CRASH LOCATIONS


Gobabis Unknown Wednesday 42 Female SeriousGobabis Unknown Wednesday 31 Female SeriousGrootfontein Unknown Sunday Unknown Female SeriousGrootfontein Unknown Tuesday 4 Unknown SeriousGrootfontein Sam Nujoma Tuesday 38 Female SeriousGrootfontein Sam Nujoma Thursday Unknown Male SeriousGrootfontein Unknown Tuesday 36 Male SlightHentiesbaai Asser Kapere Monday Unknown Unknown SlightHentiesbaai Asser Kapere Sunday Unknown Male SeriousKalkfeld Kalkfeld Rd 1 Sunday 42 Female SlightKaribib Unknown Saturday 5 Female KilledKaribib Unknown Monday 26 Male SlightKaribib Unknown Saturday 41 Female SeriousKaribib Unknown Friday 27 Male SlightKaribib Krb Road 1 Friday 35 Female SlightKaribib Unknown Saturday 41 Female SeriousKaribib Unknown Saturday 4 Female SeriousKatima Mulilo Cul De Sac Wednesday Unknown Unknown SlightKatima Mulilo Cul De Sac Wednesday Unknown Unknown SlightKatima Mulilo Cul De Sac Thursday Unknown Unknown SlightKatima Mulilo Cul De Sac Wednesday 30 Male KilledKatima Mulilo Cul De Sac Saturday 21 Male KilledKatima Mulilo Cul De Sac Friday 24 Male KilledKatima Mulilo Cul De Sac Monday 19 Female SlightKatima Mulilo Cul De Sac Sunday 87 Male KilledKatima Mulilo Cul De Sac Friday Unknown Unknown SlightKatima Mulilo Cul De Sac Thursday 16 Female SeriousKatima Mulilo Cul De Sac Monday 42 Female SlightKatima Mulilo Ktx Road 106 Saturday 14 Male KilledKatima Mulilo Cul De Sac Sunday 32 Male SeriousKatima Mulilo Cul De Sac Wednesday Unknown Male SeriousKatima Mulilo Cul De Sac Wednesday Unknown Unknown SlightKatima Mulilo Cul De Sac Wednesday Unknown Unknown SlightKeetmanshoop 23rd Avenue Thursday 64 Female SeriousKeetmanshoop Unknown Sunday 27 Male KilledKeetmanshoop 23rd Avenue Thursday 10 Female SeriousKeetmanshoop 23rd Avenue Monday 37 Female SlightKeetmanshoop 23rd Avenue Thursday 64 Female SeriousKeetmanshoop 23rd Avenue Thursday 7 Male SeriousKhorixas Khs Road 1 Monday 66 Male SeriousKhorixas Simon Gobs Street Wednesday 70 Male KilledKhorixas Dr Liberine Amathla Street Tuesday 79 Male KilledKhorixas Unknown Sunday 3 Female SeriousLuderitz Moltke Street Tuesday 36 Male SeriousMariental Unknown Sunday 22 Female SeriousMariental Unknown Friday 63 Male SeriousMariental Koichas Road Tuesday 9 Male Slight


Injured Ped Age

Injured Ped Gender



Mariental Prosopis Road Wednesday 14 Male SlightMariental Unknown Saturday 25 Female SeriousMariental Unknown Tuesday Unknown Unknown SeriousMariental Unknown Monday 27 Male KilledMariental Unknown Tuesday 7 Male KilledMariental Unknown Monday 55 Female SeriousMariental Unknown Tuesday 11 Male SlightMukwe Unknown Friday 1 Female SlightMukwe Unknown Friday 25 Female KilledMukwe Unknown Saturday 20 Male KilledMukwe Unknown Saturday 21 Male KilledNkurenkuru Nkurenkuru Rd 1 Wednesday 60 Female SeriousNoordoewer cds Friday Unknown Male SeriousOkahandja Ackermann Road Saturday Unknown Male SlightOkahandja Ackermann Road Saturday Unknown Male SlightOkahandja Ossmann Road Friday Unknown Male SlightOkahandja Franck Road Thursday Unknown Male SlightOkahandja Franck Road Friday Unknown Male SlightOkahandja Franck Road Saturday 28 Female SeriousOkahandja Unknown Sunday 7 Male SeriousOkahandja Unknown Saturday Unknown Female KilledOkahandja Jan Fiskaal Street Tuesday 47 Female SlightOkahandja Unknown Thursday Unknown Male KilledOkahandja Unknown Thursday Unknown Female SeriousOkahandja Waldau Street Wednesday Unknown Male SeriousOkahandja Unknown Saturday Unknown Male SlightOkahandja Jan Fiskaal Street Thursday Unknown Female SeriousOkahandja Mossie Street Saturday Unknown Male SlightOkahandja Main Street Thursday 13 Female SeriousOkahandja Toekoms Street Sunday 32 Male SlightOkahandja Ackermann Road Saturday Unknown Male SlightOkahandja Ackermann Road Saturday Unknown Male SlightOkahandja Unknown Thursday Unknown Female SeriousOkahandja Unknown Thursday Unknown Female SeriousOkahao Cds Wednesday 77 Male SlightOkahao Cds Friday 62 Male KilledOkakarara J Kanduu Katjiere Street Monday 8 Male SeriousOkakarara J Kanduu Katjiere Street Tuesday 77 Female SlightOndangwa Unknown Monday 14 Unknown SlightOndangwa Unknown Friday Unknown Male SeriousOndangwa Cul De Sac Tuesday 85 Female SeriousOndangwa Unknown Thursday 17 Male SlightOndangwa Unknown Monday 32 Female SlightOndangwa Unknown Friday 27 Male SeriousOndangwa Unknown Saturday 4 Male KilledOndangwa Unknown Tuesday Unknown Male KilledOndangwa Unknown Wednesday 22 Male Serious


Injured Ped Age

Injured Ped Gender



Ondangwa Unknown Wednesday 21 Female SeriousOndangwa Unknown Tuesday 58 Male KilledOndangwa Unknown Wednesday 7 Female SeriousOndangwa Unknown Thursday Unknown Male SeriousOndangwa Unknown Tuesday 7 Female SeriousOndangwa Unknown Sunday 70 Male SeriousOndangwa Unknown Wednesday 25 Male SlightOndangwa Unknown Saturday 36 Male SeriousOndangwa Unknown Monday 19 Female SeriousOndangwa Unknown Monday 12 Female SlightOndangwa Unknown Saturday 35 Male KilledOndangwa Unknown Tuesday 9 Female SlightOndangwa Unknown Friday 46 Male SlightOndangwa Unknown Monday 47 Male SeriousOndangwa Unknown Saturday 82 Female SlightOndangwa Unknown Friday 43 Male SeriousOndangwa Unknown Friday 20 Male SlightOndangwa Cul De Sac Saturday 22 Female KilledOndangwa Unknown Thursday 3 Female SeriousOndangwa Unknown Monday 3 Female SlightOndangwa Unknown Wednesday 28 Male SeriousOndangwa Cul De Sac Wednesday 10 Female SeriousOndangwa Unknown Tuesday 20 Female SlightOndangwa Unknown Thursday 51 Female SeriousOndangwa Unknown Wednesday 46 Male SeriousOndangwa Unknown Wednesday 8 Male SeriousOndangwa Unknown Wednesday Unknown Unknown SeriousOndangwa Unknown Saturday 14 Female SeriousOndangwa Unknown Sunday 19 Female SeriousOndangwa Cul De Sac Wednesday 29 Female SeriousOndangwa Unknown Sunday 30 Male SeriousOndangwa Unknown Friday 22 Female SlightOngwediva Cul De Sac Monday 55 Male SlightOpuwo Unknown Saturday 23 Male SeriousOshakati Unknown Saturday Unknown Male SeriousOshakati Unknown Saturday 17 Male SlightOshakati Unknown Thursday 3 Male KilledOshakati Unknown Friday 28 Male SlightOshakati Oai Road 113 Wednesday 27 Male SlightOshakati Unknown Monday 64 Male SeriousOshakati Unknown Wednesday 46 Male SeriousOshakati Anaboom Street Monday 30 Male SeriousOshakati Oai Road 92 Tuesday 63 Male SlightOshakati Unknown Saturday 20 Female SeriousOshakati Unknown Tuesday 41 Male KilledOshakati Unknown Thursday 21 Male SlightOshakati Unknown Friday 9 Female Serious


Injured Ped Age

Injured Ped Gender



Oshakati Unknown Monday 38 Male SeriousOshakati Unknown Friday Unknown Male SeriousOshakati Oai Road 92 Saturday 7 Male SlightOshakati Unknown Monday 20 Male KilledOshakati Unknown Saturday 19 Male KilledOshakati Unknown Saturday 22 Male KilledOshakati Oai Road 110 Tuesday 41 Female SlightOshakati Unknown Tuesday Unknown Female SeriousOshakati Unknown Sunday 82 Male KilledOshakati Anaboom Street Monday 6 Male KilledOshakati Oai Road 105 Wednesday 2 Male KilledOshakati Oai Road 111 Saturday 23 Male SeriousOshakati Anaboom Street Wednesday 26 Female SeriousOshakati Oai Road 92 Saturday Unknown Male SeriousOshakati Oai Road 112 Monday 24 Male SeriousOshakati Oai Road 92 Sunday 17 Male SlightOshakati Unknown Friday 80 Male SlightOshakati Anaboom Street Monday 32 Female SlightOshakati Anaboom Street Friday 66 Male SeriousOshakati Oai Road 92 Saturday 58 Male SeriousOshakati Unknown Thursday 21 Male SeriousOshakati Unknown Monday 7 Female SlightOshakati Unknown Monday 7 Male SeriousOshakati Unknown Monday 25 Male SeriousOshakati Unknown Thursday 41 Male SlightOshakati Anaboom Street Monday 32 Male SeriousOshakati Oai Road 111 Tuesday Unknown Female SeriousOshakati Oai Road 115 Monday 27 Male SeriousOshakati Oai Road 92 Friday 5 Female KilledOshakati Oai Road 105 Saturday 3 Male SlightOshakati Oai Road 92 Thursday 50 Female SlightOshakati Anaboom Street Friday 32 Male SlightOshakati Unknown Friday 33 Male SeriousOshakati Unknown Friday 17 Female SeriousOshakati Unknown Tuesday 9 Male SlightOshakati Unknown Saturday 32 Male KilledOshakati Oai Road 92 Wednesday 50 Male SlightOshakati Unknown Saturday 66 Female KilledOshakati Oai Road 92 Tuesday 38 Male SlightOshakati Oai Road 92 Tuesday 23 Male SlightOshakati Unknown Tuesday 51 Male SeriousOshakati Oai Road 92 Saturday 54 Female SlightOshakati Unknown Saturday 33 Male SlightOshakati Unknown Wednesday 21 Female SlightOshakati Unknown Wednesday 23 Male SlightOshakati Unknown Friday Unknown Male SlightOshakati Unknown Monday Unknown Male Slight


Injured Ped Age

Injured Ped Gender



Oshakati Unknown Monday 13 Female SlightOshakati Unknown Wednesday 7 Male SlightOshakati Unknown Tuesday 49 Female SlightOtjiwarongo G Geiseb Street Tuesday 10 Male SeriousOtjiwarongo G Geiseb Street Wednesday 8 Male SeriousOtjiwarongo Dr. Libertina Amathila Avenue Tuesday 5 Female Serious

OtjiwarongoDr Libertina Amathila Avenue B Friday Unknown Male Serious

Otjiwarongo G Geiseb Street Sunday 2 Female SeriousOtjiwarongo Bahnhof Street Friday 37 Male SeriousOtjiwarongo Acasia Avenue Wednesday 11 Female SlightOtjiwarongo Dr Libertina Amathila Avenue Friday Unknown Male SlightOtjiwarongo Bahnhof Street Saturday 31 Male SeriousOtjiwarongo K. Lourens Tuesday 9 Female SeriousOtjiwarongo Acasia Avenue Tuesday Unknown Male SlightOtjiwarongo Dr. Libertina Amathila Avenue Friday Unknown Male SlightOtjiwarongo K. Lourens Tuesday Unknown Male SeriousOtjiwarongo D. Useb Street Monday Unknown Male KilledOtjiwarongo G Geiseb Street Saturday 22 Female SlightOtjiwarongo G Geiseb Street Sunday 67 Male SeriousOtjiwarongo Waterberg Street Thursday 15 Male SlightOtjiwarongo Unknown Thursday 5 Male SeriousOtjiwarongo Unknown Thursday 5 Male SeriousOutapi Unknown Sunday 30 Male SeriousOutapi Unknown Saturday 23 Female SeriousOutapi Unknown Friday 10 Male SlightOutapi Unknown Sunday 18 Female SeriousOutapi Unknown Tuesday 12 Male SeriousOutapi Unknown Friday 7 Female SeriousOutapi Unknown Monday 68 Female SeriousOutapi Unknown Sunday 20 Female KilledOutapi Unknown Monday 10 Male SlightOutapi Unknown Thursday 24 Male KilledOutapi Unknown Thursday 26 Male KilledOutapi Unknown Monday 68 Female SeriousOutapi Unknown Monday Unknown Female SlightOutjo Nabot Haimbondi Street Tuesday Unknown Male SeriousOutjo Olifant Street Sunday Unknown Male SeriousRehoboth Unknown Sunday Unknown Female SlightRehoboth Unknown Sunday Unknown Unknown SeriousRehoboth Unknown Wednesday Unknown Unknown SlightRehoboth Unknown Saturday Unknown Male SlightRehoboth Unknown Wednesday 1 Male KilledRehoboth Unknown Saturday 22 Female SeriousRehoboth Unknown Saturday Unknown Male KilledRehoboth Unknown Saturday 45 Male SeriousRehoboth Unknown Saturday Unknown Unknown Slight


Injured Ped Age

Injured Ped Gender



Rehoboth Unknown Wednesday Unknown Female SeriousRehoboth Unknown Thursday Unknown Unknown SlightRehoboth Unknown Wednesday Unknown Unknown SlightRehoboth Unknown Friday Unknown Unknown SeriousRehoboth Unknown Friday 30 Male KilledRehoboth Unknown Thursday 21 Female KilledRehoboth Unknown Thursday 21 Female KilledRehoboth Unknown Thursday 17 Female KilledRehoboth Unknown Sunday Unknown Female SlightRehoboth Unknown Sunday Unknown Male SlightRehoboth Unknown Sunday Unknown Male SlightRosh Pinah cds Tuesday 6 Male SlightRosh Pinah cds Tuesday 23 Male SeriousRosh Pinah cds Saturday 22 Male SeriousRundu Cul De Sac Thursday 16 Male SeriousRundu Cul De Sac Monday 30 Male SeriousRundu Independence Avenue Saturday 18 Male SeriousRundu Run Road 1 Friday 30 Female SeriousRundu Cul De Sac Thursday 33 Female SlightRundu Cul De Sac Wednesday 6 Male SlightRundu Maria Mwengere Street Wednesday 19 Female SlightRundu Run Road 1 Thursday 32 Male SlightRundu Eugen Kakukuru Street Monday Unknown Female SlightRundu Cul De Sac Sunday 6 Male SlightRundu Eugen Kakukuru Street Tuesday 12 Male SeriousRundu Cul De Sac Tuesday Unknown Unknown SlightRundu Cul De Sac Sunday 33 Male KilledRundu Eugen Kakukuru Street Thursday Unknown Male SlightRundu Maria Mwengere Street Monday 60 Female SlightRundu Independence Avenue Friday 17 Male SeriousRundu Cul De Sac Thursday Unknown Male SeriousRundu Cul De Sac Wednesday Unknown Unknown SlightRundu Independence Avenue Wednesday 6 Male SeriousRundu Cul De Sac Thursday Unknown Female KilledRundu Independence Avenue Friday 10 Female SlightRundu Eugen Kakukuru Street Friday 59 Female SeriousRundu Cul De Sac Wednesday 29 Female SlightRundu Independence Avenue Saturday 36 Male SlightRundu Cul De Sac Thursday Unknown Female SlightRundu Cul De Sac Sunday Unknown Male SlightRundu Cul De Sac Sunday 17 Female SeriousRundu Run Road 1 Wednesday 22 Male SlightRundu Cul De Sac Friday 48 Female SeriousRundu Cul De Sac Thursday 16 Male SeriousRundu Independence Avenue Saturday 18 Male SeriousRundu Independence Avenue Saturday 16 Female SlightSwakopmund Reguit Street Saturday Unknown Male Slight


Injured Ped Age

Injured Ped Gender



SwakopmundMandume Ya Ndemfayo Street Saturday 10 Male Serious

Swakopmund Nathanael Maxuilili Street Tuesday 24 Male SlightSwakopmund Welwitchia Street Thursday Unknown Male SlightSwakopmund 15th Street Saturday Unknown Male SlightSwakopmund Scultetus Street Tuesday Unknown Male SlightSwakopmund Helidor Street Friday 25 Male SlightSwakopmund Moses // Garoeb Street Wednesday 24 Male SeriousSwakopmund Unknown Sunday Unknown Male SlightSwakopmund Moses // Garoeb Street Thursday Unknown Male SlightSwakopmund Swakop Street Sunday 29 Female SeriousSwakopmund Sam Nujoma Avenue Sunday Unknown Male Slight

SwakopmundMandume Ya Ndemfayo Street Friday Unknown Male Serious

SwakopmundMandume Ya Ndemufayo Street Friday Unknown Male Slight

Swakopmund Reguit Street Saturday Unknown Female SlightSwakopmund Franke Street Tuesday 14 Male SeriousSwakopmund Unknown Thursday Unknown Male SlightSwakopmund Moses // Garoeb Street Monday 23 Male SlightSwakopmund Tobias Hainyeko Street Thursday Unknown Male SlightSwakopmund Tantalite Laan Saturday Unknown Male SlightSwakopmund Drc Street Sunday Unknown Unknown SlightSwakopmund Dr Schwietering Street Thursday 50 Male SeriousSwakopmund Mondelani Street Tuesday Unknown Unknown SlightSwakopmund Reguit Street Thursday 5 Female Slight

SwakopmundMandume Ya Ndemfayo Street Friday 39 Male Slight

Swakopmund Unknown Monday 27 Male SlightSwakopmund Vygie Street Tuesday Unknown Male Slight


Swakopmund Vrede Rede Street Monday 15 Male Slight


SwakopmundMandume Ya Ndemfayo Street Friday Unknown Male Slight

Tsumeb Unknown Saturday 39 Female SlightTsumeb Unknown Monday 67 Female SeriousTsumeb Unknown Monday Unknown Male KilledTsumeb 2nd Road Thursday 4 Male SlightTsumeb Ilse Schatz Thursday 7 Male SlightTsumeb Linekela Kalenga Thursday 26 Male SlightTsumeb Unknown Saturday 61 Female SlightTsumeb Leevi Muashekele Thursday 27 Male SlightTsumeb 6th Road Thursday 6 Male SlightTsumeb 7th St Monday 63 Female SeriousWalvis Bay Hansina Doeses Crescent Thursday 24 Male SeriousWalvis Bay Agaat Street Friday 8 Male Slight


Injured Ped Age

Injured Ped Gender



Walvis Bay Hunes Street Monday 21 Male SlightWalvis Bay Mercury Street Monday 5 Male SlightWalvis Bay Fiskaal Street Tuesday 3 Male SlightWalvis Bay Albatros Street Saturday 19 Male SeriousWalvis Bay Guineafowl Street Monday 4 Female SlightWalvis Bay Unknown Thursday 58 Male SlightWalvis Bay Karl Hagen Dorn Crescent Monday 4 Female SlightWalvis Bay Albatros Street Wednesday 18 Male SlightWalvis Bay Fiskaal Street Sunday 5 Male SeriousWalvis Bay Khomashochland Street Wednesday 21 Male SlightWalvis Bay Nathaniel Maxuilili Avenue Monday 8 Male SlightWalvis Bay Unknown Monday 46 Male SeriousWalvis Bay 6th Street South Wednesday Unknown Female SlightWalvis Bay Deerness Street Tuesday 1 Female SlightWalvis Bay Neate Street Thursday 4 Female SeriousWalvis Bay 14th Road Thursday 52 Unknown SeriousWalvis Bay Fiskaal Street Saturday 35 Male SeriousWalvis Bay Volstruis Street Saturday 32 Female SlightWalvis Bay Hunes Street Monday 18 Female SeriousWalvis Bay Coris Street Thursday 3 Male SeriousWalvis Bay Barber Street Tuesday 3 Male SlightWalvis Bay Khomashochland Street Thursday 4 Male SeriousWalvis Bay Steenbras Road Monday 20 Female SlightWalvis Bay Khomashochland Street Sunday 3 Male SlightWalvis Bay Sandfontein Street Saturday 27 Female SlightWalvis Bay Kort Street Sunday 39 Male SlightWalvis Bay Unknown Sunday 7 Male SlightWalvis Bay Sam Nujoma Avenue Saturday 27 Male SlightWalvis Bay Plein Street Sunday 72 Female SeriousWalvis Bay 10th Road Monday Unknown Unknown SlightWalvis Bay Sam Nujoma Avenue Wednesday 40 Male SlightWalvis Bay Nathaniel Maxuilili Avenue Monday 23 Male SlightWalvis Bay Unknown Wednesday 29 Male SlightWalvis Bay Mercury Street Thursday 26 Male SeriousWalvis Bay Coris Street Wednesday 19 Male SlightWalvis Bay Fiskaal Street Sunday 5 Male SeriousWalvis Bay Fiskaal Street Sunday 4 Male SeriousWindhoek Omulunga Sunday 23 Female SlightWindhoek Onguya Thursday Unknown Male SeriousWindhoek Unknown Sunday 7 Female SlightWindhoek Unknown Wednesday 15 Male SlightWindhoek Olyfberg Tuesday 14 Male KilledWindhoek Aand Thursday 67 Male SlightWindhoek Unknown Sunday 30 Male SlightWindhoek Beijing Monday Unknown Male SlightWindhoek Unknown Monday Unknown Female SlightWindhoek Unknown Thursday Unknown Female Serious


Injured Ped Age

Injured Ped Gender



Windhoek Unknown Sunday Unknown Female SeriousWindhoek Unknown Friday 15 Female SeriousWindhoek Unknown Wednesday 30 Male SlightWindhoek Elim Friday 43 Male SlightWindhoek Unknown Friday 18 Female SlightWindhoek Unknown Friday Unknown Female SlightWindhoek Hd Genscher Thursday Unknown Unknown SlightWindhoek Independence Wednesday 6 Female SeriousWindhoek Unknown Monday Unknown Unknown SlightWindhoek Unknown Thursday Unknown Unknown SeriousWindhoek Unknown Wednesday Unknown Unknown SlightWindhoek Unknown Thursday 6 Female SeriousWindhoek Unknown Sunday 16 Female SlightWindhoek Unknown Tuesday 9 Female SeriousWindhoek Unknown Friday Unknown Male SlightWindhoek Unknown Saturday 15 Unknown SlightWindhoek Unknown Sunday 63 Female SlightWindhoek Unknown Thursday Unknown Unknown SlightWindhoek Unknown Saturday 33 Male SeriousWindhoek Ben Apollus Friday 14 Male KilledWindhoek Unknown Thursday Unknown Male SlightWindhoek Mungunda Saturday 42 Male SeriousWindhoek Unknown Wednesday Unknown Female SlightWindhoek Gladiola Monday 15 Female SlightWindhoek Ombakata Tuesday Unknown Unknown SlightWindhoek Claudius Kandovazu Tuesday 6 Female SlightWindhoek Safari Wednesday 7 Male SlightWindhoek Unknown Saturday 52 Male SeriousWindhoek Omuvapu Friday 28 Male SlightWindhoek Independence Nb Sunday 51 Male KilledWindhoek Mandume Ndemufayo Nb Thursday Unknown Unknown SlightWindhoek Hosea Kutako Monday 34 Male SlightWindhoek Kingfisher Saturday 18 Male SeriousWindhoek Unknown Sunday 5 Male SeriousWindhoek Dawid Goreseb Monday 32 Male SlightWindhoek Mika Shimbuli Tuesday 25 Female SlightWindhoek Unknown Saturday 40 Male SlightWindhoek Abraham Mashego Sunday Unknown Female SlightWindhoek Independence S/eb Slip Monday 25 Male KilledWindhoek Tugela Wednesday 7 Male SlightWindhoek Tal Friday 44 Male SlightWindhoek Unknown Thursday Unknown Male SlightWindhoek Unknown Saturday Unknown Unknown SlightWindhoek Ombakata Monday 4 Female SeriousWindhoek Indepen N/e Park Tuesday Unknown Unknown SlightWindhoek Unknown Sunday 23 Male SlightWindhoek Monte Christo Wednesday 35 Male Killed


Injured Ped Age

Injured Ped Gender



Windhoek Mercury Thursday 7 Female SeriousWindhoek Omulunga Monday 6 Male SeriousWindhoek Unknown Friday Unknown Male SeriousWindhoek Unknown Monday 12 Male SeriousWindhoek Unknown Friday Unknown Female SlightWindhoek Unknown Monday Unknown Male SeriousWindhoek Aand Tuesday 23 Male SeriousWindhoek Etetewe Saturday 20 Male SlightWindhoek Hans Tjongonjoro Monday 26 Male SeriousWindhoek Kindergarten Thursday 8 Female SlightWindhoek Etetewe Wednesday 9 Female SlightWindhoek Sameul Shikomba Saturday Unknown Unknown SlightWindhoek Indepen N/e Park Wednesday 52 Unknown SlightWindhoek Unknown Sunday Unknown Male SlightWindhoek Unknown Wednesday 18 Female SeriousWindhoek Ongava Sunday Unknown Unknown SlightWindhoek Independence Monday Unknown Female SeriousWindhoek Mungunda Thursday 56 Female SlightWindhoek Unknown Wednesday 21 Female SeriousWindhoek Wilibald Kapuenene Friday 4 Male SeriousWindhoek Hendrik Isaak Saturday Unknown Unknown SlightWindhoek Unknown Monday 27 Male SeriousWindhoek Unknown Thursday 7 Female SlightWindhoek City Wednesday 6 Male SlightWindhoek Indepen N/e Park Thursday 39 Male SeriousWindhoek Unknown Friday 16 Male SeriousWindhoek Ongava Monday Unknown Unknown SlightWindhoek Unknown Thursday 4 Female SeriousWindhoek Ongaka Saturday 10 Male SeriousWindhoek Unknown Thursday 54 Male SeriousWindhoek Aand Thursday 26 Male SeriousWindhoek Visarend Thursday 4 Male SeriousWindhoek Shanghai Friday 8 Male SlightWindhoek Begonia Monday 14 Female SlightWindhoek Bonn Monday 17 Female SlightWindhoek Unknown Wednesday 6 Male SeriousWindhoek Unknown Friday 41 Male SeriousWindhoek Clemence Kapuuo Saturday 29 Female SlightWindhoek Monte Christo Saturday 25 Female SeriousWindhoek H Kutako Nb Loop Saturday 43 Female SlightWindhoek Lazarett Monday 24 Male SlightWindhoek Gladiola Thursday 17 Male SeriousWindhoek Erastus Ameabeb Wednesday 3 Male SlightWindhoek Abraham Mashego Saturday Unknown Male SeriousWindhoek Dawid Goreseb Tuesday 19 Male SlightWindhoek Independence Saturday 60 Male KilledWindhoek Unknown Wednesday 9 Male Slight


Injured Ped Age

Injured Ped Gender



Windhoek Salt Springs Wednesday 40 Female SlightWindhoek Kamberipa Monday 9 Female SeriousWindhoek Unknown Friday Unknown Female KilledWindhoek Omulunga Wednesday 15 Male SlightWindhoek Omongo Thursday Unknown Unknown SlightWindhoek Unknown Saturday 22 Male SeriousWindhoek Unknown Wednesday 24 Female SlightWindhoek Abraham Mashego Thursday 14 Female SlightWindhoek Unknown Monday Unknown Unknown SeriousWindhoek Monte Christo Wednesday Unknown Male SeriousWindhoek Matshitshi Tuesday 30 Male SeriousWindhoek Monte Christo Sunday 9 Female SlightWindhoek Shanghai Friday 4 Male SlightWindhoek Unknown Thursday 26 Male SlightWindhoek Unknown Thursday 18 Male SeriousWindhoek Abraham Mashego Monday 34 Male SlightWindhoek Hd Genscher Friday 20 Female SlightWindhoek Independence Wednesday 21 Male SeriousWindhoek Independence Saturday Unknown Male SeriousWindhoek Unknown Wednesday 9 Male KilledWindhoek Unknown Friday Unknown Unknown SeriousWindhoek Unknown Friday 27 Male SlightWindhoek F Nightingale Wednesday Unknown Unknown SlightWindhoek Unknown Sunday 44 Male SlightWindhoek Monte Christo Slip 1 Saturday 4 Male SlightWindhoek Unknown Saturday 26 Male SlightWindhoek Otjomuise Monday 31 Male SlightWindhoek Etetewe Tuesday Unknown Unknown SlightWindhoek Hans Tjongonjoro Wednesday 28 Female SlightWindhoek Independence Tuesday Unknown Unknown KilledWindhoek Unknown Sunday 13 Female SlightWindhoek Unknown Tuesday Unknown Unknown SlightWindhoek Aand Monday 17 Male SlightWindhoek Unknown Wednesday 35 Male SlightWindhoek Ongava Saturday 27 Male SlightWindhoek Unknown Thursday 18 Female SlightWindhoek Sukkot Sunday 15 Female SlightWindhoek Unknown Thursday 24 Female SeriousWindhoek Omuryambambi Friday 28 Male SlightWindhoek Unknown Friday Unknown Male SlightWindhoek Unknown Saturday 28 Female SeriousWindhoek Unknown Sunday Unknown Male SeriousWindhoek F Nightingale Saturday Unknown Unknown SeriousWindhoek Monte Christo Friday 7 Male SlightWindhoek Werner List Saturday 18 Female KilledWindhoek Hendrik Isaak Wednesday Unknown Male SeriousWindhoek Beijing Friday Unknown Unknown Slight


Injured Ped Age

Injured Ped Gender



Windhoek Unknown Sunday Unknown Female SlightWindhoek Unknown Friday Unknown Unknown SlightWindhoek Tjixati Sunday 5 Male SlightWindhoek Robert Mugabe Tuesday 8 Female SlightWindhoek Mandume Ndemufayo Nb Tuesday Unknown Unknown SlightWindhoek Monte Christo Friday 5 Female SeriousWindhoek Omuvapu Friday 70 Male SlightWindhoek Unknown Tuesday 8 Male SlightWindhoek Independence Wednesday Unknown Unknown SlightWindhoek Bonn Sunday 52 Male SeriousWindhoek Eveline Thursday 9 Male SeriousWindhoek Delhi Saturday 60 Male SeriousWindhoek Unknown Wednesday 18 Male SlightWindhoek Moses Garoep Sunday 41 Male SlightWindhoek Moab Thursday 3 Female SlightWindhoek Unknown Sunday 46 Female SeriousWindhoek Shanghai Thursday 23 Female SlightWindhoek Independence Thursday 7 Female SeriousWindhoek Hd Genscher Sunday 14 Male SlightWindhoek Unknown Monday 17 Male SeriousWindhoek Unknown Sunday 19 Male SlightWindhoek Titus Namueja Saturday 9 Male SeriousWindhoek Robert Mugabe Tuesday 31 Male SlightWindhoek Unknown Monday 21 Male SeriousWindhoek Monte Christo Tuesday Unknown Male SeriousWindhoek Ongava Wednesday 7 Male SlightWindhoek Troas Monday 13 Female SlightWindhoek Monte Christo Slip 3 Friday Unknown Unknown SeriousWindhoek Monte Christo Slip 3 Wednesday 49 Male SeriousWindhoek Danela Street Monday Unknown Unknown SeriousWindhoek Unknown Wednesday Unknown Unknown SlightWindhoek Laurent D Kabila Thursday 9 Male SeriousWindhoek Unknown Tuesday 9 Male SeriousWindhoek Unknown Wednesday 17 Female SlightWindhoek Ongava Tuesday 6 Female SlightWindhoek Zedekias Ogamb Sunday 35 Female SlightWindhoek Abraham Mashego Sunday Unknown Male SlightWindhoek Unknown Thursday 29 Male SlightWindhoek M Ndemufayo Nb Slip Tuesday 41 Female SlightWindhoek Unknown Friday 16 Female SlightWindhoek Unknown Friday 27 Male SlightWindhoek Setsotho Tuesday 9 Male SlightWindhoek Moses Garoep Monday 7 Male SeriousWindhoek Bismarck Monday Unknown Male SeriousWindhoek Fidel Castro Saturday Unknown Male SlightWindhoek Independence Sunday 34 Male SlightWindhoek Patmos Tuesday 10 Male SlightWindhoek Andrew Kloppers Tuesday 17 Male Slight


Injured Ped Age

Injured Ped Gender



Windhoek Bonn Saturday 24 Female SlightWindhoek Matshitshi Friday 29 Male SlightWindhoek Hendrik Isaak Monday 5 Female SeriousWindhoek Unknown Wednesday Unknown Unknown SeriousWindhoek Unknown Thursday 56 Male SeriousWindhoek Unknown Thursday Unknown Male SlightWindhoek Aand Thursday 34 Female SlightWindhoek Unknown Sunday Unknown Female SeriousWindhoek Unknown Monday Unknown Male SeriousWindhoek Unknown Monday Unknown Unknown SlightWindhoek Hosea Kutako Friday 28 Male SlightWindhoek Mandume Ndemufayo Nb Monday 22 Male SlightWindhoek Unknown Tuesday 49 Male SlightWindhoek Green Mountain Dam Friday Unknown Female SeriousWindhoek Unknown Monday Unknown Unknown SeriousWindhoek Unknown Saturday 9 Female SeriousWindhoek Unknown Monday Unknown Male SlightWindhoek Siegfried Tjitemsa Monday Unknown Unknown SlightWindhoek Independence Thursday 40 Male SlightWindhoek Omuve Monday 13 Female SlightWindhoek Unknown Sunday Unknown Male SeriousWindhoek Unknown Tuesday 13 Male SeriousWindhoek Beijing Saturday 7 Male SeriousWindhoek Unknown Monday Unknown Female SlightWindhoek Independence Slip (n) Saturday 26 Female SlightWindhoek Green Mountain Dam Saturday 25 Female SlightWindhoek Sam Nujoma Friday 43 Male SlightWindhoek Papaja Sunday 17 Male SlightWindhoek Unknown Wednesday 16 Male SlightWindhoek Luther Monday 23 Female SlightWindhoek Fidel Castro Friday 61 Male SeriousWindhoek Unknown Friday 14 Female SlightWindhoek Dawid Goreseb Tuesday Unknown Male SlightWindhoek Mandume Ndemufayo Nb Friday 48 Female SlightWindhoek Aand Tuesday 23 Male SeriousWindhoek Aand Tuesday 19 Male SlightWindhoek Beijing Friday Unknown Unknown SlightWindhoek Beijing Friday Unknown Unknown SlightWindhoek Independence Thursday 7 Female SeriousWindhoek Independence Thursday 5 Female SlightWindhoek Unknown Friday 27 Male SlightWindhoek Unknown Friday 23 Female SlightWindhoek Unknown Saturday 15 Unknown SlightWindhoek Unknown Saturday 16 Unknown SlightWindhoek Unknown Saturday Unknown Unknown Slight


Injured Ped Age

Injured Ped Gender



APPENDIX III: CRASH LOCATION AND INJURY SEVERITY (OUTSIDE TOWN/CITY)

Road No. if outside town FatalitiesSerious injuries Slight injuries Not injured Injurie Crashes Damage Only

D0201 1 3 2 2 2 2

D1010 0 4 0 1 1 1

D1043 0 0 0 2 0 1

D1059 0 1 1 1 1 0

D1066 0 3 2 5 1 5

D1099 0 0 0 1 0 1

D1230 3 4 3 14 5 5

D1254 0 0 1 5 1 3

D1259 0 1 0 0 1 0

D1262 0 0 0 1 0 1

D1268 0 0 0 4 0 2

D1635 3 5 13 3 5 1

D1670 1 5 2 6 2 3

D1700 0 0 0 1 0 1

D1739 0 1 0 1 1 0

D1765 0 2 0 1 1 0

D1793 0 1 0 4 1 3

D1808 0 0 0 4 0 4

D1825 0 0 0 1 0 1

D1905 0 0 1 1 1 0

D1915 0 0 1 2 1 2

D1918 1 3 12 16 10 8

D1925 0 1 0 1 1 1

D1927 0 0 0 6 0 3

D1930 0 0 0 1 0 1

D1935 0 1 3 3 2 1

D1952 0 0 0 1 0 1

D1953 0 1 0 2 1 1

D1967 0 0 0 3 0 1

D1980 0 0 1 0 1 0

D2124 0 0 0 1 0 1

D2125 5 9 16 63 15 46

D2136 0 0 1 2 1 2

D2170 7 5 5 42 7 37

D2172 0 0 12 5 3 4

D2180 0 0 0 1 0 1

D2188 0 0 1 3 1 2

D2359 0 0 2 0 1 0

D2360 0 0 2 5 1 5

D2403 0 6 4 81 4 69


D2404 0 6 2 11 5 7

D2414 29 54 49 270 35 209

D2417 0 0 3 3 1 1

D2427 0 2 6 77 7 61

D2430 0 3 0 2 1 1

D2433 0 0 0 1 0 1

D2440 0 1 6 47 6 39

D2460 1 5 2 6 3 6

D2475 0 1 0 5 1 2

D2476 0 0 0 2 0 2

D2512 4 20 24 133 26 92

D2610 0 1 0 3 1 1

D2612 0 0 0 2 0 1

D2625 1 2 0 3 1 2

D2633 0 0 0 1 0 1

D2650 1 3 1 32 3 28

D2673 0 0 0 2 0 1

D2694 0 0 1 0 1 0

D2695 4 1 3 36 3 31

D2696 0 0 2 6 1 5

D2697 0 0 0 2 0 2

D2710 0 0 0 1 0 1

D2743 0 0 0 2 0 1

D2744 0 0 0 1 0 1

D2761 0 0 0 1 0 1

D2763 0 0 0 1 0 1

D2775 0 0 0 1 0 1

D2779 0 0 0 4 0 3

D2780 0 6 13 48 11 31

D2782 1 0 0 10 1 8

D2804 3 3 1 10 3 9

D2806 0 0 1 2 1 1

D2807 0 0 0 2 0 2

D2810 0 0 1 0 1 0

D2825 0 0 2 1 1 0

D2844 0 0 0 5 0 4

D2848 0 0 0 1 0 1

D2858 0 0 0 2 0 2

D2860 0 0 0 3 0 1

D2865 0 0 0 11 0 10

D2869 0 0 1 0 1 0

D2898 0 0 0 1 0 1

D2908 0 0 0 1 0 1

D3001 1 2 8 24 7 11

D3002 0 0 0 1 0 1

Road no. if outside town FatalitiesSerious injuries Slight injuries Not injured Injury crashes Damage only



D3007 0 0 0 1 0 1

D3016 0 0 0 1 0 1

D3039 0 0 0 1 0 1

D3248 0 0 0 1 0 1

D3303 0 5 0 0 1 0

D3402 0 0 0 2 0 1

D3431 0 2 1 0 1 0

D3512 0 0 2 3 2 1

D3519 0 0 0 5 0 5

D3521 0 0 0 2 0 2

D3529 0 0 1 0 1 0

D3600 0 0 0 1 0 1

D3602 0 1 0 1 1 0

D3603 0 2 6 10 6 6

D3605 0 1 0 1 1 0

D3606 0 5 0 12 1 10

D3607 0 0 2 3 2 1

D3608 0 1 4 24 5 11

D3610 3 2 11 3 4 1

D3613 0 2 5 16 4 4

D3614 0 0 0 8 0 7

D3616 0 1 1 4 2 1

D3617 0 0 0 3 0 3

D3619 0 1 1 6 1 2

D3623 0 1 0 1 1 0

D3625 0 0 0 1 0 1

D3626 0 0 0 5 0 2

D3627 0 0 0 1 0 1

D3631 0 0 0 4 0 1

D3633 0 0 0 3 0 2

D3635 1 0 0 5 1 0

D3637 0 0 1 0 1 0

D3641 1 5 0 2 2 0

D3642 0 3 3 7 1 0

D3646 0 0 0 3 0 2

D3700 0 0 0 3 0 1

D3701 0 3 1 0 1 0

D3707 0 0 0 2 0 2

D3708 0 0 0 3 0 1

D3709 0 0 0 1 0 1

D3715 0 4 3 8 4 4

D3716 0 0 0 1 0 1

D3720 0 0 1 3 1 2

D3800 0 0 1 0 1 0


D3801 0 0 0 2 0 2

D3802 0 0 1 2 1 1

D3804 0 0 0 1 0 1

D3815 0 0 0 1 0 1

D3817 0 0 1 0 1 0

D3825 1 3 4 16 4 9

D3826 0 10 3 29 7 15

D3827 0 5 5 23 6 15

D3830 0 1 0 1 1 1

D3831 1 0 1 7 2 2

D4001 0 0 0 2 0 1

M0021 0 0 0 3 0 2

M0029 0 2 4 2 3 1

M0031 0 2 1 6 2 5

M0033 1 1 2 11 3 5

M0034 3 4 3 8 4 5

M0036 0 2 5 23 5 7

M0039 0 2 7 18 6 15

M0040 0 4 5 9 4 5

M0041 0 0 0 1 0 1

M0042 0 0 2 0 1 0

M0045 0 0 0 5 0 3

M0047 1 3 2 9 5 0

M0053 0 1 0 2 1 1

M0057 0 1 0 1 1 1

M0061 0 0 0 14 0 10

M0065 0 5 5 2 2 2

M0067 4 18 11 90 15 56

M0068 0 0 0 4 0 2

M0070 0 3 2 9 2 5

M0072 0 4 2 16 3 16

M0074 0 2 5 20 5 18

M0075 0 0 3 12 2 10

M0076 1 14 6 18 7 12

M0084 0 3 2 17 3 14

M0085 1 5 3 25 5 10

M0091 0 1 8 19 4 18

M0092 1 24 34 297 36 171

M0093 0 0 1 1 1 0

M0100 4 1 9 34 8 23

M0111 0 10 7 40 8 20

M0113 0 0 7 10 6 7

M0114 0 1 3 7 2 4

M0117 0 0 0 3 0 3

M0119 1 5 0 20 3 12




M0120 0 0 0 14 0 10

M0122 0 0 1 6 1 5

M0123 0 6 9 15 6 5

M0124 0 3 3 23 4 14

M0126 0 2 8 3 4 3

M0127 0 0 0 4 0 2

M0128 0 2 0 5 1 4

M0131 0 0 0 6 0 4

T0101 0 0 0 1 0 1

T0103 0 4 9 40 7 19

T0104 3 9 20 44 12 23

T0106 0 3 4 27 4 21

T0107 0 0 1 8 1 8

T0108 0 0 0 2 0 2

T0109 4 3 11 47 11 27

T0110 3 24 26 133 25 78

T0111 3 32 49 252 45 147

T0112 1 2 1 18 2 11

T0201 1 1 3 35 4 23

T0202 21 29 17 193 25 122

T0203 7 13 20 107 17 54

T0204 0 1 1 15 2 10

T0402 0 0 0 1 0 1

T0501 0 0 0 8 0 5

T0601 4 24 23 161 27 127

T0602 1 5 3 35 7 25

T0701 1 0 0 3 1 1

T0802 0 3 2 7 3 6

T0803 4 3 4 21 6 13

T0805 1 1 2 6 2 2

T0806 4 4 4 37 7 22

T0807 1 1 1 6 2 4

T0901 0 0 0 2 0 2

T1402 0 0 2 12 1 10

T1501 0 1 0 1 1 1

TOTAL 151 518 633 3372 635 2210


APPENDIX IV: STREET LOCATION BY TOWN AND INJURY SEVERITY

Town Street FatalitiesSeriously Injuries

Slightly Injuries

Not in-jured

Injury Crashes

Damage only

Araimsvlei Araimsvlei Rd 1 0 1 0 7 1 2Araimsvlei Araimsvlei Rd 3 0 2 0 0 1 0Arandis Acacia Road 0 0 0 7 0 4Arandis Acopos Street 0 0 0 1 0 1Arandis Ads Road 8 0 0 0 1 0 1Arandis Bottle Brush Road 0 0 0 2 0 1Arandis Falcon Street 0 0 0 1 0 1Arandis Flycatcher Street 0 0 0 1 0 1Arandis Geel Hout Road 0 1 0 6 1 4Arandis Hospital Road 0 2 0 1 1 0Arandis Kokerboom Street 0 0 0 2 0 1Arandis Milkwood Street 0 0 0 1 0 1Arandis Parrot Street 0 0 0 1 0 1Arandis Protea Road 0 0 0 2 0 1Arandis Starling Street 0 0 0 1 0 1Arandis Turns Tone Close 0 0 0 1 0 1Aranos Hospital Road 0 0 0 1 0 1Aranos Kerk Street 0 0 2 0 1 0Aranos Skool Street 0 0 1 2 1 0Aroab Arb Road 1 0 0 0 9 0 9Aroab Arb Road 5 0 0 0 1 0 1Aroab First Street 0 0 0 1 0 1Aroab George Street 0 0 0 1 0 1Aus Asb Road 2 0 0 1 1 1 1Aus Garuber Street 0 0 0 1 0 1Berseba Ber Road 1 0 0 0 1 0 1Bethanie Bhy Road 1 0 2 3 15 4 8Divundu Divundu_rd 1 3 6 2 11 5 6Gobabis A Kamburona Street 0 1 2 23 3 16Gobabis B Tjizera Street 0 0 0 2 0 1Gobabis Church Street 0 0 1 62 1 34Gobabis Cuito Quanavala Avenue 0 0 0 12 0 6Gobabis Cul De Sac 0 0 0 2 0 1Gobabis Dr. L. Amathila Avenue 0 0 0 1 0 1Gobabis Erika Street 0 0 0 1 0 1Gobabis Geelhout Circle 0 0 0 1 0 1Gobabis Heroes Lane 0 0 2 8 1 4Gobabis Kalahari Street 0 0 0 2 0 2Gobabis Karee Street 0 0 0 2 0 1Gobabis Main Road 0 1 0 8 1 3Gobabis Nj Louw Street 0 0 0 1 0 1


Town Street FatalitiesSeriously injured

Slightly injured

Not in-jured

Injury crashes

Damage only

Gobabis P. Ueitele Street 0 0 0 3 0 3Gobabis Park Street 0 0 1 6 1 2Gobabis President Street 0 0 0 2 0 1Gobabis Roesners Road 0 0 0 1 0 1Gobabis Station Road 0 0 1 3 1 1Gobabis Tlhabanello Street 0 0 0 3 0 2Gobabis W Tjombe Street 0 0 0 1 0 1Grootfontein Andersson 0 0 0 10 0 8Grootfontein August Geiseb 0 0 0 1 0 1Grootfontein Bahnhof Cres 0 0 0 1 0 1Grootfontein Bahnhof West 0 0 0 1 0 1Grootfontein Benjamin Francis 0 0 0 1 0 1Grootfontein Church 0 0 0 1 0 1Grootfontein Dr Ngarikutuke Tjiriange 0 0 0 3 0 3Grootfontein Dr Nickey Iyambo 0 0 0 7 0 4Grootfontein Dr Toivo Ya Toivo 0 0 0 4 0 3Grootfontein Dr Toivo Ya Toivo Eb 0 0 0 1 0 1Grootfontein Erastus Khaumuseb 0 0 0 1 0 1Grootfontein Ericson 0 0 0 2 0 1Grootfontein Frederich Awaseb 0 0 0 1 0 1Grootfontein Gabriel Nunibeb 0 0 0 1 0 1Grootfontein Hage Geingob 0 0 0 13 0 9Grootfontein Jakaranda 0 0 0 2 0 1Grootfontein Jordan 0 0 0 1 0 1Grootfontein Kerk/omulunga 0 0 0 2 0 1Grootfontein Luiperdheuwel 0 0 0 1 0 1Grootfontein Manetti 0 0 0 2 0 1Grootfontein Okavango 0 2 0 6 1 5Grootfontein Sam Nujoma 0 2 4 25 4 17Grootfontein Sam Nujoma Nb 0 0 0 1 0 1Grootfontein Sam Nujoma Sb 0 0 0 1 0 1Grootfontein Treichel 0 0 0 1 0 1Grootfontein Wilfried Eigowab 0 0 0 1 0 1Grunau Cds 0 0 0 2 0 1Hentiesbaai Asser Kapere 0 1 1 2 2 0Hentiesbaai Benguella Street 0 0 0 15 0 9Hentiesbaai Eland Close 1 0 2 0 4 1 3Hentiesbaai Eland Street 0 0 0 2 0 1Hentiesbaai Gemsbok Street 0 0 0 2 0 2Hentiesbaai Het Road 78 0 0 0 1 0 1Hentiesbaai Kabeljou Street 0 0 0 7 0 5Hentiesbaai Ohangwena Street 0 1 0 0 1 0Hentiesbaai Pelikaan Street 0 1 0 0 1 0Hentiesbaai Sand Street 0 0 1 3 1 1



Slightly injured

Not in-jured

Injury crashes

Damage only

Hentiesbaai Visreir Street 0 0 0 1 0 1Kalkfeld Kalkfeld Rd 1 0 0 1 1 1 0Kalkfeld Unnamed Rd 9 1 0 0 0 1 0Kamanjab Boom Street 0 0 0 2 0 1Kamanjab Cul De Sac 0 0 0 2 0 1Kamanjab Gemsbokweg 0 0 0 3 0 1Kamanjab Kun Road 1 0 0 0 4 0 1Kamanjab Main Street 0 0 0 4 0 1Karasburg 18th Avenue 1 6 8 42 11 20Karibib Berg Street 0 0 0 1 0 1Karibib First Street 0 0 0 1 0 1Karibib Fracht Street 0 0 0 4 0 1Karibib Halbich Street 0 0 0 2 0 1Karibib Krb Road 1 0 1 1 18 1 7Karibib Park Street 0 0 0 1 0 1Katima Mulilo Cul De Sac 10 14 33 271 42 184Katima Mulilo Ktx Road 1 0 0 0 1 0 1Katima Mulilo Ktx Road 101 0 0 0 2 0 2Katima Mulilo Ktx Road 102 0 0 0 2 0 2Katima Mulilo Ktx Road 103 0 0 3 6 1 4Katima Mulilo Ktx Road 104 0 2 1 5 1 2Katima Mulilo Ktx Road 105 0 0 1 1 1 0Katima Mulilo Ktx Road 106 1 0 1 12 2 4Katima Mulilo Ktx Road 107 0 1 0 4 1 2Katima Mulilo Ktx Road 108 0 0 0 4 0 3Katima Mulilo Ktx Road 11 0 0 1 2 1 2Katima Mulilo Ktx Road 111 0 0 0 1 0 1Katima Mulilo Ktx Road 112 0 0 0 1 0 1Keetmanshoop 23rd Avenue 3 4 11 73 8 46Keetmanshoop 32nd Street 0 0 0 1 0 1Keetmanshoop Buitenkant Street 0 0 0 4 0 1Keetmanshoop East Street 0 0 0 1 0 1Keetmanshoop Fifth Street 0 0 0 1 0 1Keetmanshoop Hostel Drive 0 0 0 1 0 1Keetmanshoop Mimosa Street 0 0 0 2 0 2Keetmanshoop Mittel Street 0 0 0 2 0 1Keetmanshoop North Street 0 1 0 1 1 0Keetmanshoop Second Street 0 0 0 1 0 1Keetmanshoop Sixth Avenue 0 0 0 2 0 1Keetmanshoop Uraan Street 0 0 0 3 0 1Khorixas Cul De Sac 0 0 1 4 1 4Khorixas Dr Geson Close 0 0 0 5 0 2Khorixas Dr Liberine Amathla Street 1 0 0 1 1 0Khorixas Khs Road 1 0 1 0 1 1 0



Slightly injured

Not in-jured

Injury crashes

Damage only

Khorixas Khs Road 17 0 0 0 2 0 1Khorixas Khs Road 35 0 0 0 3 0 1Khorixas Simon Gobs Street 1 0 0 6 1 2Koes Boom Street 1 0 0 1 1 0Luderitz Agste Lane 0 2 5 35 4 23Luderitz Baai Weg 0 0 0 1 0 1Luderitz Bahnhof Street 0 0 0 2 0 1Luderitz Bismark Street 0 0 0 6 0 4Luderitz Bremer Street 0 0 0 1 0 1Luderitz Diaz Street 0 0 1 3 1 2Luderitz Hafen Street 0 0 0 3 0 2Luderitz Hoof Street 0 0 0 1 0 1Luderitz Industie Street 0 0 0 2 0 1Luderitz Kreplin Street 0 0 0 3 0 1Luderitz Moltke Street 0 1 0 1 1 0Luderitz Nautilussingel 0 0 0 2 0 1Luderitz Noah Street 0 0 0 1 0 1Luderitz Schinz Close 0 0 0 1 0 1Luderitz Skool Street Link 0 0 0 1 0 1Luderitz Troost Street 0 0 0 1 0 1Mariental Albert Voigts Road 0 2 7 39 7 31Mariental Aub Street 0 0 0 1 0 1Mariental Cul De Sac 0 0 0 1 0 1Mariental Eleventh Avenue 0 0 1 0 1 0Mariental Hofmeyr Street 0 0 0 1 0 1Mariental Hospital Street 0 0 0 1 0 1Mariental Koicahs Road 0 0 0 2 0 1Mariental Koichas Road 0 0 1 6 1 3Mariental Market Street 0 0 0 1 0 1Mariental Micheal Van Niekerk Street 0 0 1 4 1 1Mariental Prosopis Road 0 1 3 2 2 0Mariental River Street 0 0 0 2 0 1Mariental School Street 0 0 0 2 0 1Mariental Skool Street 0 0 0 3 0 1Mariental Uitbreiding Road 0 0 0 3 0 1Nkurenkuru Nkurenkuru Rd 1 0 2 0 4 1 4Noordoewer cds 0 1 0 14 1 6Ogongo Ogongo Rd 1 0 0 0 4 0 2Okahandja Ackermann Road 0 0 4 47 3 31Okahandja Boom Road 0 0 0 1 0 1Okahandja Bruno Templin Road 0 0 0 3 0 3Okahandja Conradie Street 0 0 0 2 0 1Okahandja Dr Vedder Avenue 0 0 2 0 1 0Okahandja Franck Road 0 1 2 13 3 6Okahandja Hoogenhout Street 0 4 0 4 1 3



Slightly injured

Not in-jured

Injury crashes

Damage only

Okahandja Hugo Hahn Avenue 0 0 0 2 0 1Okahandja Jan Fiskaal Street 0 1 3 15 3 7Okahandja Kanarie Street 0 0 0 6 0 4Okahandja Klein Schmidt Street 0 0 0 1 0 1Okahandja Koedoeweg 0 0 0 1 0 1Okahandja Kolbe Street 0 0 0 3 0 2Okahandja Main Street 0 3 0 15 2 10Okahandja Mangaan Street 0 0 0 2 0 2Okahandja Mossie Street 0 0 1 19 1 12Okahandja Okj Road 10 0 0 1 24 1 22Okahandja Okj Road 100 0 0 0 1 0 1Okahandja Ossmann Road 0 0 1 3 1 1Okahandja Piet my Vrou Street 0 0 1 2 1 1Okahandja Pieter Brand Road 0 0 0 2 0 1Okahandja Riebeek Road 0 0 0 3 0 2Okahandja Skool Street 0 0 0 1 0 1Okahandja Swaeltjie Avenue 0 0 0 4 0 3Okahandja Sysie Street 0 0 0 1 0 1Okahandja Toekoms Street 0 0 2 2 1 1Okahandja Uitspan Road 0 0 0 2 0 1Okahandja Viljoen Street 0 0 0 2 0 1Okahandja Voortrekker Street 0 1 0 13 1 7Okahandja Waldau Street 0 1 0 2 1 1Okahandja Wes Street 0 0 0 1 0 1Okahandja Westernville Avenue 0 0 1 1 1 0Okahao Cds 3 7 13 95 11 36Okakarara Cordula 0 1 1 7 1 3Okakarara Gerhard Muzengua 0 0 0 4 0 2Okakarara J Kanduu Katjiere Street 0 1 1 13 2 6Okakarara Oaa Road 1 0 0 0 5 0 4Okalongo Cds 0 0 0 3 0 1Okamatapati Okamatapati Rd 1 0 0 2 0 1 0Omaruru Agaat Street 0 0 0 19 0 13Omaruru Akwamaryn Street 0 0 0 2 0 1Omaruru Aloe Street 0 0 0 3 0 2Omaruru Bank Street 0 0 0 3 0 2Omaruru Boom Street 0 0 0 1 0 1Omaruru Erongo Street 0 0 1 1 1 1Omaruru Om Road 1 0 0 0 4 0 3Omaruru Om Road 13 0 0 0 1 0 1Omaruru Om Road 23 Close 0 0 0 1 0 1Omaruru Oos Street 0 0 0 2 0 1Omaruru Rivier Street 0 0 0 3 0 2Omaruru Skietbaan Avenue 0 0 0 2 0 1Omaruru Wes Street 0 0 0 1 0 1



Slightly injured

Not in-jured

Injury crashes

Damage only

Omaruru Wilhelm Zeraua Road 0 0 3 17 2 10Omuthiya cds 0 0 0 19 0 15Ondangwa Cul De Sac 1 6 2 44 9 26Ondangwa Odu Road 1 0 0 0 2 0 1Ondangwa Odu Road 112 0 0 0 2 0 1Onesi Onesi Rd 1 0 0 0 1 0 1Ongwediva Abraham Ndjambali Street 0 0 0 1 0 1Ongwediva Cul De Sac 0 0 1 39 1 17Ongwediva Libertine Amathila Street 0 1 3 2 2 0Ongwediva Mandume Ndemufayo

Avenue 0 0 0 3 0 1Opuwo Cul De Sac 0 0 1 13 1 8Opuwo Opu Road 1 0 0 0 7 0 4Opuwo Opu Road 2 0 0 0 1 0 1Oranjemund Cds 0 1 4 44 3 32Oranjemund Oranjemund_eighth Street 0 0 0 2 0 1Oranjemund Oranjemund_eigth Avenue 0 0 0 1 0 1Oranjemund Oranjemund_eleventh

Avenue 0 0 0 3 0 2Oranjemund Oranjemund_industrial

Road 0 1 1 1 1 0Oranjemund Oranjemund_seventh

Avenue 0 0 0 1 0 1Oranjemund Oranjemund_sixteenth

Avenue 0 0 0 1 0 1Oranjemund Oranjemund_thirteenth

Avenue 0 0 0 2 0 1Oshakati Anaboom Street 3 13 19 244 31 145Oshakati Hardekool Street 0 0 0 2 0 2Oshakati Oai Road 1 0 0 0 1 0 1Oshakati Oai Road 100 0 0 0 3 0 2Oshakati Oai Road 101 0 0 0 3 0 2Oshakati Oai Road 102 0 0 0 1 0 1Oshakati Oai Road 102 A 0 0 0 2 0 2Oshakati Oai Road 103 0 0 0 1 0 1Oshakati Oai Road 104 0 0 0 1 0 1Oshakati Oai Road 105 1 0 1 2 2 0Oshakati Oai Road 106 0 0 0 1 0 1Oshakati Oai Road 107 0 0 0 4 0 2Oshakati Oai Road 108 0 0 1 2 1 2Oshakati Oai Road 109 0 0 0 3 0 3Oshakati Oai Road 11 0 0 0 3 0 2Oshakati Oai Road 110 0 0 1 3 1 2Oshakati Oai Road 111 1 2 1 13 4 9Oshakati Oai Road 112 0 1 0 8 1 5Oshakati Oai Road 113 0 0 1 8 1 5Oshakati Oai Road 114 0 0 0 2 0 1



Slightly injured

Not in-jured

Injury crashes

Damage only

Oshakati Oai Road 115 0 1 0 2 1 1Oshakati Oai Road 118 0 0 0 4 0 3Oshakati Oai Road 208 0 0 1 2 1 0Oshakati Oai Road 261 0 0 0 2 0 1Oshakati Oai Road 457 0 0 0 1 0 1Oshakati Oai Road 612 0 0 0 1 0 1Oshakati Oai Road 641 0 0 0 2 0 1Oshakati Oai Road 92 1 3 19 156 20 77Oshakati Oai Road 96 0 0 1 0 1 0Oshakati Oai Road 98 0 0 0 3 0 2Oshakati Prosopis Street 0 0 0 1 0 1Oshakati Swarthaak Street 0 0 0 2 0 1Oshikuku Cds 0 0 0 2 0 2Otavi Administrators 0 0 0 14 0 10Otavi Churchill 0 0 0 2 0 1Otavi Dr. I Scheepers Road 0 0 0 1 0 1Otavi Etjo Street 0 0 0 3 0 1Otavi Gaub 0 0 0 1 0 1Otavi Ikoaeb 0 0 0 1 0 1Otavi Israel 0 0 0 1 0 1Otavi Uiseb 0 0 0 2 0 1Otavi Unie 0 0 0 1 0 1Otjiwarongo Acasia Avenue 0 0 2 51 2 32Otjiwarongo Ananias Nangoro Avenue 0 0 0 1 0 1Otjiwarongo B. Kgos Imang Avenue 0 0 0 1 0 1Otjiwarongo B. Khuruseb Street 0 0 1 2 1 1Otjiwarongo Bahnhof Street 0 2 0 29 2 15Otjiwarongo Beiderbecke Street 0 0 0 2 0 1Otjiwarongo Belladonna 0 0 0 1 0 1Otjiwarongo Blumen Street 0 0 0 7 0 5Otjiwarongo Bohlmann Street 0 0 0 11 0 6Otjiwarongo Cu De Sac 0 0 2 2 1 1Otjiwarongo Cul De Sac 0 0 0 1 0 1Otjiwarongo D. Useb Street 1 0 0 9 1 5Otjiwarongo Dike Street 0 0 0 2 0 1Otjiwarongo Dr Libertina Amathila

Avenue 0 0 3 47 2 27Otjiwarongo Dr Libertina Amathila Ave-

nue B 0 1 0 4 1 2Otjiwarongo Dr. Libertina Amathila

Avenue 0 1 4 15 4 8Otjiwarongo East Road 0 0 0 2 0 1Otjiwarongo Ecker Street 0 0 0 3 0 2Otjiwarongo Einstein Street 0 0 0 1 0 1Otjiwarongo Erundu Street 0 0 0 3 0 2Otjiwarongo Etosha Avenue A 0 0 0 1 0 1



Slightly injured

Not in-jured

Injury crashes

Damage only

Otjiwarongo Faraday Street 0 0 0 5 0 3Otjiwarongo Forsyth Street 0 0 0 4 0 3Otjiwarongo G Geiseb Street 0 5 1 12 5 7Otjiwarongo Gate Street 0 0 0 1 0 1Otjiwarongo Georges Street 0 0 0 3 0 2Otjiwarongo Germania Street 0 0 0 4 0 2Otjiwarongo Grens Street 0 0 0 2 0 1Otjiwarongo Hage Geingob Street 0 0 1 86 1 52Otjiwarongo Hage Geingob Street Nb 0 0 0 2 0 1Otjiwarongo Hage Geingob Street Sb 0 0 0 4 0 2Otjiwarongo Heliograaf Street 0 0 0 3 0 2Otjiwarongo High Street 0 0 0 3 0 2Otjiwarongo Hindenburg Street 0 0 0 2 0 1Otjiwarongo Holtzhausen 0 0 0 1 0 1Otjiwarongo Industria Street 0 0 0 1 0 1Otjiwarongo Johannes Wohler Avenue 0 0 0 2 0 1Otjiwarongo K. Lourens 0 2 0 3 2 1Otjiwarongo Lachiener Street 0 0 0 1 0 1Otjiwarongo Lang Street 0 0 0 4 0 4Otjiwarongo Markotter Street 0 0 0 3 0 2Otjiwarongo Oj Road 94 0 0 0 1 0 1Otjiwarongo Panorama Street 0 0 0 2 0 1Otjiwarongo Park Street 0 0 2 0 1 0Otjiwarongo Prosit Street 0 0 0 1 0 1Otjiwarongo Riebeeck Street 0 0 0 2 0 1Otjiwarongo S. Shilungu Street 0 2 0 7 2 3Otjiwarongo School Street 0 0 0 6 0 3Otjiwarongo Smal Street 0 0 0 2 0 1Otjiwarongo Swembad Road 0 0 0 1 0 1Otjiwarongo W. Soameb Street 0 0 0 3 0 2Otjiwarongo Waterberg Street 0 0 2 0 1 0Otjiwarongo Werft Street 0 1 0 0 1 0Otjiwarongo Zingel Street 0 0 0 2 0 2Outjo Boshoff Street 0 0 0 1 0 1Outjo Buitekant Street 0 0 0 2 0 2Outjo Dr. Libertine Amathila

Street 0 0 1 20 1 13Outjo Freedom Street 0 0 0 1 0 1Outjo Herhold Street 0 0 0 5 0 4Outjo Jack Francis Street 0 0 0 5 0 4Outjo Kronkel Road 0 0 0 2 0 1Outjo Lamber Street 0 0 0 1 0 1Outjo Michelle Mc.lean Street 0 0 0 1 0 1Outjo Nabot Haimbondi Street 0 1 0 1 1 0Outjo Olifant Street 0 1 0 1 1 0



Slightly injured

Not in-jured

Injury crashes

Damage only

Rehoboth A 2 0 0 0 1 0 1Rehoboth B 2 0 0 0 8 0 6Rehoboth Barnhof 0 0 4 21 2 12Rehoboth D 1 0 0 0 5 0 5Rehoboth D 2 0 0 0 1 0 1Rehoboth D 5 0 0 0 1 0 1Rehoboth D 8 0 0 0 1 0 1Rehoboth D 20 0 0 0 1 0 1Rehoboth Flamingo Street 0 0 0 2 0 2Rehoboth Gorab Street 0 0 0 1 0 1Rehoboth Jan Witbooi 0 0 0 4 0 3Rehoboth Machiel Diergaardt 0 0 0 1 0 1Rehoboth Maherero Street 0 0 0 3 0 1Rosh Pinah cds 0 3 5 52 6 36Rosh Pinah Rosh Pinah_kudu Cresant 0 0 0 1 0 1Rosh Pinah Rosh Pinah_ondye Drive 0 0 0 2 0 2Rosh Pinah Rosh Pinah_oryx Avenue 0 0 0 1 0 1Rosh Pinah Rosh Pinah_rd 12 0 0 0 1 0 1Rosh Pinah Rosh Pinah_volstruis

Street 0 0 0 2 0 2Ruacana Cds 0 3 7 34 3 14Rundu Cul De Sac 3 15 25 210 31 129Rundu Eugen Kakukuru Street 0 2 7 31 7 12Rundu Independence Avenue 0 3 5 71 6 35Rundu Maria Mwengere Street 0 0 2 30 2 17Rundu Run Road 1 0 2 6 66 8 37Rundu Run Road 99 0 0 0 1 0 1Swakopmund 11th Avenue 0 2 0 52 2 34Swakopmund 15th Street 0 0 1 5 1 2Swakopmund 16th Street 0 0 0 1 0 1Swakopmund 17th Street 0 0 0 2 0 1Swakopmund Albertina Amathila Avene 0 0 0 1 0 1Swakopmund Aldridge Street 0 0 0 13 0 9Swakopmund Anton Lubowski Avenue 0 0 1 3 1 1Swakopmund Aukas Street 0 0 0 9 0 5Swakopmund Backer Street 0 0 0 1 0 1Swakopmund Baumgarten Laan 0 0 0 1 0 1Swakopmund Berg Street 0 0 0 2 0 1Swakopmund Bismark Street 0 0 0 4 0 2Swakopmund Brockerhof Avenue 0 0 0 3 0 2Swakopmund Cordes Street 0 0 0 6 0 3Swakopmund Daniel Tjongarero Avenue 0 1 0 24 1 12Swakopmund Dante Laan 0 0 0 2 0 1Swakopmund Diamond Street 0 0 0 1 0 1Swakopmund Dr Schwietering Street 0 1 0 2 1 1



Slightly injured

Not in-jured

Injury crashes

Damage only

Swakopmund Drc Close 1n 0 0 0 3 0 2Swakopmund Drc Street 0 0 2 9 2 6Swakopmund Dunplessies Laan 0 0 0 1 0 1Swakopmund Düsh Street 0 0 0 2 0 1Swakopmund Ebony Street 0 0 0 1 0 1Swakopmund Erongo Close 3n 0 0 0 1 0 1Swakopmund First Avenue 0 0 0 2 0 1Swakopmund Fischreiher Street 0 0 0 2 0 1Swakopmund Flamingo Street 0 0 0 2 0 1Swakopmund Francois Street 0 0 0 11 0 8Swakopmund Franke Street 0 1 0 2 1 1Swakopmund Garnet Street 0 0 0 2 0 2Swakopmund Harder Street 0 0 0 1 0 1Swakopmund Helidor Street 0 0 1 1 1 0Swakopmund Heuschneider Street 0 0 1 5 1 3Swakopmund Hoogenhout Street 0 0 0 1 0 1Swakopmund Immanual Kamho Street 0 0 0 1 0 1Swakopmund Independance Street 0 0 1 40 1 26Swakopmund Independence Street 0 0 0 2 0 2Swakopmund Justus Goseb Street 0 0 0 3 0 3Swakopmund Kalk Laan 0 0 0 2 0 1Swakopmund Khan Street 0 0 0 1 0 1Swakopmund Kraal Street 0 0 0 5 0 2Swakopmund Lindin Street 0 0 0 2 0 1Swakopmund Lukas Neyouya Street 0 0 0 1 0 1Swakopmund Madume Ya Ndemufayo

Link 0 0 0 5 0 3Swakopmund Madume Ya Ndemufayo

Street 0 0 0 6 0 4Swakopmund Mandume Ya Ndemfayo

Street 0 2 6 60 6 33Swakopmund Mandume Ya Ndemufayo

Street 0 0 1 23 1 14Swakopmund Masilo Street 0 0 0 14 0 9Swakopmund Meduletu Street 0 0 0 2 0 1Swakopmund Molen Avenue 0 0 0 2 0 1Swakopmund Mondelani Street 0 0 2 6 2 3Swakopmund Monotaoka Street 0 0 0 3 0 1Swakopmund Mosely Laan 0 0 0 1 0 1Swakopmund Moses / / Garoeb Street 0 0 0 5 0 4Swakopmund Moses // Garoeb Street 0 1 2 62 3 34Swakopmund Moses // Garoeb Street A 0 0 0 4 0 2Swakopmund Mossie Laan 0 0 0 1 0 1Swakopmund Nathanael Maxuilili Street 0 0 2 32 2 16Swakopmund Neser Street 0 0 0 3 0 2Swakopmund Nonidas Street 0 0 0 4 0 2Swakopmund Ocks Laan 0 0 0 5 0 3



Slightly injured

Not in-jured

Injury crashes

Damage only

Swakopmund Ombili Close 1n 0 0 0 7 0 5Swakopmund Omeg Street 0 0 0 3 0 2Swakopmund Onglumbasche Street 0 0 0 2 0 2Swakopmund Palm Street 0 0 0 2 0 1Swakopmund Pinguin Street 0 0 0 1 0 1Swakopmund Plaath Laan 0 0 0 1 0 1Swakopmund Reguit Street 0 0 4 16 4 9Swakopmund Rhode Allee Street 0 0 0 4 0 2Swakopmund Riesle Street 0 0 0 1 0 1Swakopmund Rosen Way Close 0 0 0 2 0 1Swakopmund Rosenquartz Street 0 0 0 3 0 2Swakopmund Sam Nujoma Avenue 0 0 1 89 1 48Swakopmund Schlachter Street 0 0 0 5 0 3Swakopmund Schwester Frieda Street 0 0 0 3 0 3Swakopmund Scultetus Street 0 0 1 2 1 1Swakopmund Seeadler Street 0 0 0 5 0 3Swakopmund Smaragd Street 0 0 0 1 0 1Swakopmund Smith Laan 0 0 0 4 0 2Swakopmund Swakop Street 0 1 0 5 1 1Swakopmund Tantalite Laan 0 0 1 1 1 0Swakopmund Tobais Hainyeko Street 0 0 0 3 0 3Swakopmund Tobias Hainyeko Street 0 0 1 84 1 41Swakopmund Trekkopje Street 0 0 0 2 0 1Swakopmund Turmalin Street 0 0 0 4 0 3Swakopmund Vrede Rede Street 0 0 4 25 2 16Swakopmund Vygie Street 0 0 1 1 1 0Swakopmund Welwitchia Street 0 0 1 10 1 5Swakopmund Wilbert Nigambo Street 0 0 0 2 0 1Swakopmund Windhuker Street 0 0 0 6 0 3Swakopmund Woermann Street 0 0 0 4 0 2Swakopmund Wonker Street 0 0 0 2 0 1Swakopmund Zypressen Street 0 0 0 2 0 1Tsandi Cds 0 0 0 5 0 3Tses Cul De Sac 0 0 0 11 0 10Tses Tse Road 16 0 0 0 1 0 1Tsumeb 2nd Road 0 0 1 1 1 0Tsumeb 3rd Road 0 0 1 1 1 1Tsumeb 3rd St 0 0 0 2 0 1Tsumeb 6th Road 0 0 1 1 1 0Tsumeb 7th St 0 1 0 1 1 0Tsumeb 8th Road 0 0 0 2 0 1Tsumeb 10th Road 0 0 0 1 0 1Tsumeb 11th Road 0 0 0 4 0 1Tsumeb 12th Road 0 0 0 2 0 1Tsumeb 15th Road 0 0 0 1 0 1



Slightly injured

Not in-jured

Injury crashes

Damage only

Tsumeb 17th Road 0 0 0 2 0 1Tsumeb 6th Road 0 0 0 2 0 1Tsumeb Efraim Guiob 0 0 0 1 0 1Tsumeb Eland 0 0 0 1 0 1Tsumeb Giraffe 0 0 0 1 0 1Tsumeb Hage Geingob 1 1 5 45 4 27Tsumeb Ilse Schatz 0 0 1 1 1 0Tsumeb Jordaan 0 0 0 2 0 1Tsumeb Kupfer 0 0 0 5 0 3Tsumeb Kwagga 0 0 0 2 0 1Tsumeb Leevi Muashekele 0 0 3 6 2 4Tsumeb Leevi Muashikele 0 0 0 10 0 6Tsumeb Linekela Kalenga 0 1 3 22 3 10Tsumeb Main Road 0 0 0 3 0 2Tsumeb Omeg Allee 0 2 0 10 2 4Tsumeb Reinhold Shilongo 0 0 3 11 1 6Tsumeb Silber 0 0 0 1 0 1Tsumeb Springbok 0 0 0 2 0 1Tsumkwe Road 1 0 0 0 19 0 19Uis Mine Uis Road 1 0 0 0 3 0 3Uis Mine Uis Road 2 0 0 0 2 0 1Usakos Harry Street 0 0 0 1 0 1Usakos Toerien Street 0 0 0 6 0 3Usakos Victoria Street 0 0 0 1 0 1Usakos Vlok Street 0 0 0 2 0 1Walvis Bay 10th Road 0 0 1 31 1 19Walvis Bay 11 Th Avenue 0 1 2 9 2 6Walvis Bay 12 Th Avenue 0 0 0 16 0 10Walvis Bay 13 Th Avenue 0 0 0 6 0 4Walvis Bay 13th Road 0 0 0 8 0 5Walvis Bay 13th Street East 0 0 0 2 0 1Walvis Bay 13th Street East Link 0 0 0 2 0 1Walvis Bay 14 Th Avenue 0 0 0 2 0 2Walvis Bay 14th Road 0 1 3 12 3 6Walvis Bay 14th Street 0 0 0 3 0 2Walvis Bay 15th Road 0 0 1 3 1 1Walvis Bay 17th Road 0 0 0 2 0 1Walvis Bay 17th Avenue 0 0 0 2 0 1Walvis Bay 18th Road 0 0 0 9 0 5Walvis Bay 19th Avenue 0 0 1 4 1 1Walvis Bay 20th Avenue 0 0 0 2 0 1Walvis Bay 2nd Ave 0 0 0 19 0 11Walvis Bay 4th Street South 0 0 1 8 1 4Walvis Bay 5 Th Avenue 0 0 0 11 0 6Walvis Bay 6th Avenue 0 0 0 3 0 2



Slightly injured

Not in-jured

Injury crashes

Damage only

Walvis Bay 6th Street South 0 0 5 25 4 13Walvis Bay Aasvoel Street 0 0 1 2 1 0Walvis Bay Abdul Hendricks Ave 0 0 0 3 0 2Walvis Bay Agaat Street 0 0 2 49 2 29Walvis Bay Albatros Street 0 1 2 7 3 2Walvis Bay Ametist Crescent 0 0 0 1 0 1Walvis Bay Anchovy Crescent 0 0 0 6 0 2Walvis Bay Argyll Street 0 0 0 1 0 1Walvis Bay Bagani Street 0 0 0 2 0 1Walvis Bay Barber Street 0 0 1 3 1 1Walvis Bay Ben Amathila Street 0 0 3 18 1 11Walvis Bay Brandberg Street 0 0 0 1 0 1Walvis Bay Cable Beach Road 0 0 0 4 0 2Walvis Bay Caesar Martin Close 1 0 0 0 2 0 1Walvis Bay Caesar Martin Street 0 0 0 7 0 4Walvis Bay Canary Street 0 0 0 2 0 1Walvis Bay Christiaan Eiman Ave 0 0 0 5 0 3Walvis Bay Circle Street 0 0 3 5 2 3Walvis Bay Circumferential Road 0 0 0 2 0 1Walvis Bay Conradie Road 0 0 0 2 0 1Walvis Bay Coris Street 0 1 4 13 3 5Walvis Bay Cuckoo Street 0 0 0 1 0 1Walvis Bay Dassie Street 0 0 0 3 0 1Walvis Bay Deerness Street 0 0 1 3 1 1Walvis Bay Duin Street 0 0 0 2 0 2Walvis Bay Eighth Street 0 0 0 4 0 2Walvis Bay Eighth Street West 0 0 0 1 0 1Walvis Bay Eleventh Road 0 0 0 4 0 2Walvis Bay Evergreen Street 0 0 1 0 1 0Walvis Bay Fifteenth Road 0 1 1 0 1 0Walvis Bay Fifth Road 0 0 0 1 0 1Walvis Bay Fifth Street East 0 0 1 1 1 0Walvis Bay Fin Street 0 0 0 1 0 1Walvis Bay First Road 0 0 0 2 0 1Walvis Bay First Street 0 0 0 6 0 3Walvis Bay First Street East 0 0 0 4 0 2Walvis Bay First Street West 0 0 0 1 0 1Walvis Bay Fiskaal Street 0 3 1 10 3 4Walvis Bay Flamingo Street 0 0 1 4 1 2Walvis Bay Fourth Street North 0 0 0 1 0 1Walvis Bay Frankie Abrahams Street 0 0 0 2 0 1Walvis Bay Gauss Road 0 0 1 0 1 0Walvis Bay Gold Street 0 0 0 3 0 1Walvis Bay Grand Avenue 0 0 0 2 0 1Walvis Bay Guineafowl Street 0 0 1 2 1 1



Slightly injured

Not in-jured

Injury crashes

Damage only

Walvis Bay Hage G Geingob Street 0 0 3 22 2 14Walvis Bay Hansina Doeses Crescent 0 1 0 3 1 1Walvis Bay Hematiet Street 0 0 0 2 0 2Walvis Bay Hidipo Hamutenya 0 1 0 4 1 3Walvis Bay Hunes Street 0 1 1 10 2 3Walvis Bay James Brown Crescent 0 0 0 1 0 1Walvis Bay Johannes Nampala Avenue 0 1 0 12 1 4Walvis Bay John Moyo Street 0 0 0 3 0 2Walvis Bay Kabeljou Street 0 2 1 40 2 22Walvis Bay Kalahari Street 0 0 0 1 0 1Walvis Bay Karl Hagen Dorn Crescent 0 0 1 3 1 2Walvis Bay Khomashochland Street 0 1 3 36 4 16Walvis Bay Koraal Street 0 0 0 2 0 1Walvis Bay Kort Street 0 0 1 1 1 0Walvis Bay Kristiansand Street 0 0 0 10 0 6Walvis Bay Kuiseb Avenue 0 0 0 2 0 1Walvis Bay Kuiseb Street 0 0 0 2 0 1Walvis Bay Lagoon Street 0 0 0 3 0 2Walvis Bay Lepelaar Street 0 0 0 3 0 2Walvis Bay Likaka Street 0 0 0 4 0 2Walvis Bay Lovebird Street 0 0 1 8 1 5Walvis Bay Maraboe Street 0 0 0 4 0 2Walvis Bay Mars Street 0 0 1 6 1 2Walvis Bay Marsbanker Street 0 0 0 2 0 1Walvis Bay Meeu Street 0 0 0 1 0 1Walvis Bay Mercury Street 0 2 1 1 2 0Walvis Bay Mermaid Street 0 0 0 8 0 5Walvis Bay Mica Street 0 0 0 20 0 11Walvis Bay Moon Street 0 0 0 1 0 1Walvis Bay Mossie Street 0 0 0 4 0 3Walvis Bay Munganda Street 0 0 0 4 0 2Walvis Bay Namib Close 1 0 0 0 1 0 1Walvis Bay Namib Street 0 3 0 12 2 7Walvis Bay Nangolo Mbumba Drive 0 0 13 90 8 53Walvis Bay Nathaniel Maxuilili Avenue 0 0 4 79 4 36Walvis Bay Neate Street 0 1 0 1 1 0Walvis Bay Neptune Street 0 0 0 1 0 1Walvis Bay Ninth Road 0 0 1 5 1 1Walvis Bay Ninth Street West 0 0 1 1 1 0Walvis Bay Nujoma Avenue 0 0 0 4 0 2Walvis Bay Okakarara Street 0 0 0 1 0 1Walvis Bay Omwandi Street 0 0 0 1 0 1Walvis Bay Opaal Street 0 0 0 1 0 1Walvis Bay Orion Street 0 0 1 1 1 0Walvis Bay Pelican Street 0 0 0 5 0 2



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Not in-jured

Injury crashes

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Walvis Bay Penguin Street 0 0 0 2 0 1Walvis Bay Pikkewyn Street 0 0 0 1 0 1Walvis Bay Plein Close 0 0 0 2 0 1Walvis Bay Plein Street 0 1 0 3 1 2Walvis Bay Pluto Street 0 0 0 1 0 1Walvis Bay Railway Street 0 0 0 5 0 3Walvis Bay Riethaan Street 0 0 0 2 0 1Walvis Bay Rock Street 0 0 0 3 0 2Walvis Bay Rooibank Avenue 0 1 1 1 2 1Walvis Bay Rooikop Road 0 0 2 2 1 2Walvis Bay Sam Nujoma Avenue 1 2 12 261 13 148Walvis Bay Sandfontein Street 0 0 1 13 1 7Walvis Bay Sandpiper Street 0 0 0 2 0 1Walvis Bay Sandwich Street 0 0 0 3 0 1Walvis Bay Sardyn Street 0 0 0 4 0 2Walvis Bay Saturn Street 0 0 0 1 0 1Walvis Bay Second Street 0 0 0 2 0 1Walvis Bay Seemeeu Street 0 0 0 3 0 1Walvis Bay Seewier Street 0 0 0 4 0 3Walvis Bay Seventeenth Road 0 0 0 2 0 1Walvis Bay Seventh Road 0 0 1 8 1 4Walvis Bay Shepstone Street 0 0 0 2 0 1Walvis Bay Springbuck Street 0 0 0 5 0 3Walvis Bay Steenbras Road 0 0 1 4 1 2Walvis Bay Strandloper Street 0 0 0 1 0 1Walvis Bay Tecomaria Street 0 1 0 2 1 1Walvis Bay Tenth Road 0 0 0 1 0 1Walvis Bay Tenth Street 0 0 0 2 0 1Walvis Bay The Esplanade 0 0 0 1 0 1Walvis Bay Theo-ben Gurirab Street 0 0 2 40 2 20Walvis Bay Third Road 0 0 0 4 0 2Walvis Bay Third Street 0 0 0 6 0 3Walvis Bay Third Street East 0 0 0 4 0 2Walvis Bay Third Street West 0 0 0 1 0 1Walvis Bay Topaas Street 0 0 0 5 0 3Walvis Bay Tunacor Street 0 0 0 4 0 4Walvis Bay Twahangana Street 0 0 0 11 0 6Walvis Bay Twelfth Street 0 0 0 2 0 1Walvis Bay Union Street 0 0 0 8 0 6Walvis Bay Venus Street 0 0 0 2 0 1Walvis Bay Visarend Street 0 0 0 2 0 1Walvis Bay Volstruis Street 0 0 2 5 2 2Walvis Bay Willie Botha Ave 0 0 0 2 0 1Walvis Bay Wvs Road 36 0 0 0 1 0 1Warmbad Cds 0 0 0 2 0 2



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Injury crashes

Damage only

Windhoek Aand 3 2 5 111 8 69Windhoek Aandblom 0 0 0 4 0 3Windhoek Aaron Tsatindi 0 0 0 1 0 1Windhoek Abraham Geldenhuys 0 0 0 2 0 1Windhoek Abraham Mashego 0 1 4 114 5 64Windhoek Acacia 0 0 0 7 0 4Windhoek Academia School 0 0 0 5 0 3Windhoek Adler 0 0 0 4 0 2Windhoek Advent 0 0 0 2 0 1Windhoek Advies 0 0 0 2 0 1Windhoek Agaat 0 0 0 1 0 1Windhoek Agnes 0 0 0 1 0 1Windhoek Ahrens 0 0 0 2 0 2Windhoek Aisle 0 0 0 1 0 1Windhoek Akosombo Street 0 0 0 2 0 1Windhoek Akureyri Street 0 0 0 1 0 1Windhoek Akwamaryn 0 0 0 1 0 1Windhoek Albatros 0 0 0 2 0 1Windhoek Albert Wessels 0 0 0 2 0 1Windhoek Albert Witte 0 0 0 2 0 1Windhoek Alberts 0 0 0 4 0 2Windhoek Allan 0 0 0 7 0 4Windhoek Amazon 0 0 0 2 0 2Windhoek Amsterdam 0 0 0 1 0 1Windhoek Anderson 0 0 0 10 0 9Windhoek Andes 0 0 0 4 0 2Windhoek Andreas Kahuati 0 0 0 4 0 2Windhoek Andreas Kukuri 0 0 0 2 0 1Windhoek Andrew Kloppers 0 0 1 23 1 12Windhoek Andrew Mogalie 0 0 0 7 0 3Windhoek Andries De Wet 0 0 0 3 0 2Windhoek Andromeda 0 0 0 6 0 3Windhoek Anemone 0 0 0 4 0 3Windhoek Angra Fria Street 0 0 0 3 0 1Windhoek Ankara 0 0 0 1 0 1Windhoek Anna 0 0 0 1 0 1Windhoek Anton Lubowski 0 0 0 2 0 2Windhoek Anton Rupert 0 0 0 2 0 1Windhoek Apostel 0 0 0 3 0 2Windhoek Aquinas 0 0 0 1 0 1Windhoek Ara 0 0 3 7 2 5Windhoek Arebbusch 0 0 0 2 0 2Windhoek Arians 0 0 0 2 0 1Windhoek Aries 0 0 0 2 0 1



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Injury crashes

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Windhoek Arimathea 0 0 0 1 0 1Windhoek Aschenborn 0 0 0 2 0 2Windhoek Auas 0 2 2 76 4 42Windhoek Auas Slip 1 0 0 0 7 0 5Windhoek Auas Slip 3 0 0 0 1 0 1Windhoek Auasblick 1 0 0 0 11 0 8Windhoek Auasblick 3 0 0 0 2 0 2Windhoek August Gotz 0 0 0 1 0 1Windhoek August Tjaapo 0 0 0 1 0 1Windhoek Ausspann Circle 0 0 0 30 0 23Windhoek Austin 0 0 0 2 0 1Windhoek Aviation 0 0 0 9 0 5Windhoek Avis 0 0 0 9 0 8Windhoek Avocet 0 0 0 1 0 1Windhoek Babie 0 0 0 2 0 1Windhoek Babilon 0 0 0 3 0 2Windhoek Babs 0 0 0 1 0 1Windhoek Bach 0 0 1 80 1 44Windhoek Bahnhof 0 1 0 74 1 49Windhoek Baines Plein 0 0 0 7 0 5Windhoek Ballot 0 0 0 4 0 4Windhoek Barbet 0 0 0 5 0 4Windhoek Bassingthwaighte 0 0 0 2 0 1Windhoek Beethoven 0 0 1 8 1 4Windhoek Begonia 0 0 1 22 1 13Windhoek Behring 0 0 0 1 0 1Windhoek Beijing 0 2 5 12 5 4Windhoek Bell 0 0 0 24 0 15Windhoek Ben Apollus 1 0 0 6 1 2Windhoek Berg 0 0 1 7 1 3Windhoek Berlin 0 0 0 3 0 2Windhoek Bernt Carlsson 0 0 0 5 0 3Windhoek Bessemer 0 0 0 3 0 3Windhoek Best 0 0 0 3 0 3Windhoek Bilboa 0 0 1 1 1 0Windhoek Birmingham 0 0 0 1 0 1Windhoek Bismarck 0 2 1 106 3 59Windhoek Black Rock 0 0 0 3 0 2Windhoek Blackwood 0 0 0 15 0 9Windhoek Bloekom 0 0 0 1 0 1Windhoek Blohm 0 0 0 3 0 2Windhoek Bohr 0 0 0 1 0 1Windhoek Bokmakierie 0 0 0 1 0 1Windhoek Bonn 0 1 2 22 3 11



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Windhoek Bonsmara 0 0 0 3 0 3Windhoek Bowker 0 0 0 3 0 2Windhoek Boysen 0 0 0 2 0 1Windhoek Brahman 0 0 0 6 0 4Windhoek Brahms 0 0 0 5 0 4Windhoek Brakwater 4 1 2 44 4 40Windhoek Brava Island 0 0 0 3 0 2Windhoek Bruhn 0 0 0 1 0 1Windhoek Brukkaros Street 0 0 0 3 0 3Windhoek Burg 0 0 0 10 0 7Windhoek Burg Nb 0 0 0 1 0 1Windhoek Caesar 0 0 0 15 0 8Windhoek Calcium 0 0 0 1 0 1Windhoek Calvyn 0 0 0 1 0 1Windhoek Campo Street 0 0 0 1 0 1Windhoek Cassinga 0 0 0 1 0 1Windhoek Cat Island Road 0 0 0 1 0 1Windhoek Centaurus 0 0 5 185 4 123Windhoek Cesarea 0 0 0 1 0 1Windhoek Chamonix 0 0 0 2 0 1Windhoek Charles Winslow 0 0 0 2 0 1Windhoek Charlie Sande 0 0 0 2 0 1Windhoek Chasie 0 0 1 12 1 6Windhoek Chateau 0 0 0 2 0 2Windhoek Church 0 0 0 39 0 28Windhoek Church Eb 0 0 0 1 0 1Windhoek City 0 0 1 3 1 1Windhoek Claud Kandovazu Slip 0 0 0 2 0 1Windhoek Claudius Kandovazu 1 0 4 97 4 56Windhoek Clemence Kapuuo 0 0 1 29 1 20Windhoek Cobalt 0 0 0 1 0 1Windhoek Coetzee 0 0 0 9 0 6Windhoek Conradie 0 0 0 4 0 4Windhoek Constansia Street 0 0 0 2 0 2Windhoek Copper 0 0 0 2 0 1Windhoek Cullinan 0 0 0 2 0 1Windhoek Curie 0 0 0 2 0 1Windhoek D Bezuidenhout 0 0 0 1 0 1Windhoek Daan Bekker 0 0 0 10 0 7Windhoek Daffodil 0 0 0 1 0 1Windhoek Daimler 0 0 0 13 0 7Windhoek Dalton 0 0 1 1 1 1Windhoek Dam 0 0 0 1 0 1Windhoek Damaskus 0 0 0 1 0 1Windhoek Dan Tjongarero 0 0 0 1 0 1



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Injury crashes

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Windhoek Danela Street 0 1 0 1 1 0Windhoek Danie Strydom 0 0 0 1 0 1Windhoek Daniel Munamava 0 0 0 33 0 19Windhoek Dans 0 0 0 3 0 1Windhoek Daphne Hasenjager 0 0 0 2 0 1Windhoek Dar Es Salaam 0 0 0 6 0 3Windhoek Datepalm 0 0 0 1 0 1Windhoek Davey 0 0 0 4 0 2Windhoek Davin 0 0 0 1 0 1Windhoek Dawid Goreseb 0 0 4 2 3 0Windhoek Delhi 0 1 0 7 1 4Windhoek Delhi Square 0 0 0 3 0 2Windhoek Delta 0 0 0 3 0 2Windhoek Diaz 0 0 0 1 0 1Windhoek Diehl 0 0 0 1 0 1Windhoek Dimbokro Street 0 0 1 1 1 0Windhoek Dissipel 0 0 0 1 0 1Windhoek Dobe Street 0 0 0 1 0 1Windhoek Dollar 0 0 0 2 0 1Windhoek Dorado 0 0 0 12 0 10Windhoek Dorp 0 0 0 1 0 1Windhoek Dortmund 0 0 1 39 1 21Windhoek Dr A B May Slip 0 0 0 2 0 2Windhoek Dr A Bernard May 0 0 2 20 1 11Windhoek Dr Frans Idongo 0 0 0 119 0 67Windhoek Dr Kenneth Kaunda 0 0 0 1 0 1Windhoek Dr Michael De Kock 0 0 0 2 0 1Windhoek Dr W Kulz 0 0 0 4 0 3Windhoek Drakensberg 0 0 0 5 0 4Windhoek Drammen Street 0 0 0 1 0 1Windhoek Drongo 0 0 0 2 0 1Windhoek Dusseldorf 0 0 0 4 0 2Windhoek Edelvalk 0 0 0 1 0 1Windhoek Edimba Street 0 0 0 5 0 3Windhoek Edison 0 0 0 39 0 26Windhoek Egret 0 0 0 3 0 2Windhoek Egumbo 0 0 0 2 0 1Windhoek Eider 0 0 0 4 0 2Windhoek Eiseb 0 0 0 2 0 1Windhoek Elephant 0 0 0 1 0 1Windhoek Elim 0 0 1 4 1 2Windhoek Elizabeth 0 0 0 1 0 1Windhoek Epsilon 0 0 0 1 0 1Windhoek Erastus Ameabeb 0 0 1 2 1 1Windhoek Erindi 0 0 0 1 0 1



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Windhoek Eros 0 0 0 21 0 14Windhoek Essen 0 0 0 2 0 1Windhoek Esther Brand 0 0 0 12 0 6Windhoek Etetewe 0 0 5 34 4 19Windhoek Etna 0 0 0 6 0 4Windhoek Eugene Marais 0 0 0 4 0 2Windhoek Eveline 0 1 0 56 1 36Windhoek Eveline Slip 1 0 0 0 9 0 5Windhoek F Castro East Slip 4 0 0 2 4 1 3Windhoek F Fredericks Slip 1 0 0 0 1 0 1Windhoek F Fredericks Slip 4 0 0 0 3 0 2Windhoek F Nightingale 0 4 16 169 13 91Windhoek Falkland 0 0 0 3 0 2Windhoek Faraday 0 0 0 12 0 6Windhoek Feld 0 0 0 24 0 16Windhoek Ferdinand Menjengua 0 0 0 2 0 2Windhoek Ferry 0 0 0 2 0 1Windhoek Fidel Castro 0 1 4 110 4 64Windhoek Filemon Eichab 0 0 0 3 0 2Windhoek Forbes 0 0 0 2 0 1Windhoek Frankie Fredericks 0 1 3 50 4 34Windhoek Freyn 0 0 0 2 0 1Windhoek Friedrich Maharero 0 0 0 2 0 2Windhoek Fritsche 0 0 0 6 0 5Windhoek Fumbe 0 0 0 2 0 1Windhoek Galasiers 0 0 0 2 0 2Windhoek Galilei 0 0 0 2 0 1Windhoek Gambia Street 0 0 0 2 0 1Windhoek Gamma 0 1 0 4 1 3Windhoek Garnet 0 0 0 1 0 1Windhoek Garten 0 0 0 18 0 12Windhoek Garten Park 0 0 0 2 0 2Windhoek Gemini 0 0 0 1 0 1Windhoek Genesaret 0 0 0 2 0 1Windhoek Genesis 0 0 0 5 0 3Windhoek Gihon 0 0 0 1 0 1Windhoek Gladiola 0 1 1 24 2 11Windhoek Goethe 0 0 0 4 0 3Windhoek Gold 0 0 0 2 0 1Windhoek Golgota 0 0 0 2 0 2Windhoek Gorges 0 0 0 1 0 1Windhoek Goshawk 0 0 2 42 2 22Windhoek Gotland 0 0 0 1 0 1Windhoek Goudsnip 0 0 0 1 0 1Windhoek Gramowski 0 0 1 3 1 3



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Windhoek Gran Canaria 0 0 0 1 0 1Windhoek Granaat 0 0 0 1 0 1Windhoek Grant Webster 0 0 0 1 0 1Windhoek Green Mountain Dam 0 1 2 22 2 13Windhoek Gregor Mendel 0 0 0 1 0 1Windhoek Gregorowski 0 0 0 1 0 1Windhoek Grens 0 0 0 1 0 1Windhoek Grieg 0 0 0 1 0 1Windhoek Grimm 0 0 0 3 0 2Windhoek Groenkwarts 0 0 0 1 0 1Windhoek Grysbok 0 0 0 2 0 1Windhoek Guddu Street 0 0 0 2 0 1Windhoek Guinas 0 0 0 3 0 2Windhoek Guthenberg 0 0 0 2 0 1Windhoek H Kutako Nb 0 0 1 6 1 3Windhoek H Kutako Nb Loop 0 0 1 74 1 46Windhoek H Kutako Nb Offramp 0 0 0 1 0 1Windhoek H Kutako Nb Onramp 0 0 0 2 0 1Windhoek H Kutako Nb Serv 0 0 0 2 0 2Windhoek H Kutako Nb Slip 1 0 0 0 4 0 2Windhoek H Kutako Nb Slip 2 0 0 0 2 0 1Windhoek H Kutako Nb Slip 3 0 0 0 4 0 2Windhoek H Kutako Sb Loop 0 0 0 20 0 14Windhoek H Kutako Sb Offramp 0 0 1 21 1 12Windhoek H Kutako Sb Onramp 0 0 2 3 1 1Windhoek H Witbooi Nb Slip 1 0 0 0 2 0 1Windhoek H Witbooi Slip 1 0 0 0 3 0 2Windhoek H.G. Veii Street 0 0 0 2 0 1Windhoek Haddy 0 0 0 1 0 1Windhoek Hanekam 0 0 0 4 0 2Windhoek Hanganee K Kavezerie 0 0 0 1 0 1Windhoek Hans Tjongonjoro 0 1 1 6 2 2Windhoek Hans Uirab 0 0 2 5 2 1Windhoek Hartebees 0 0 0 1 0 1Windhoek Harvey 0 0 0 32 0 20Windhoek Havana Street 0 0 0 2 0 2Windhoek Haydn 0 0 0 2 0 1Windhoek Hd Genscher 0 0 6 106 6 51Windhoek Hd Genscher Nb 0 0 0 2 0 1Windhoek Hd Genscher Slip (s) 0 0 0 1 0 1Windhoek Health & Social 0 0 0 5 0 4Windhoek Hebenstreit 0 0 0 3 0 2Windhoek Heinitzburg 0 0 0 14 0 7Windhoek Helen Street 0 0 0 5 0 2Windhoek Heliodoor 0 0 0 19 0 13



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Windhoek Hella Kuppe 0 0 0 1 0 1Windhoek Helsinki 0 0 0 2 0 1Windhoek Hendrik Hop 0 0 0 1 0 1Windhoek Hendrik Isaak 0 2 1 9 3 5Windhoek Hendrik Witbooi 0 0 1 166 1 98Windhoek Hennie Laubscher 0 0 0 2 0 1Windhoek Henry Kaltenbrun 0 0 0 2 0 2Windhoek Hercules 0 0 0 1 0 1Windhoek Hereford 0 0 0 20 0 11Windhoek Herman Kaundje 0 0 0 2 0 1Windhoek Herzinger 0 0 1 1 1 0Windhoek Hintrager 0 0 0 5 0 3Windhoek Hintrager Circle 0 0 0 2 0 1Windhoek Hisob 0 0 0 2 0 1Windhoek Hoanib Street 0 0 0 4 0 3Windhoek Hochland Eb 0 0 0 17 0 12Windhoek Hochland Ext 0 0 0 3 0 2Windhoek Hochland Link 0 0 0 3 0 2Windhoek Hochland Wb 0 0 0 8 0 5Windhoek Hoepriester 0 0 1 1 1 1Windhoek Hofmeyer 0 0 0 1 0 1Windhoek Hofsanger 0 0 0 2 0 2Windhoek Holden 0 0 0 2 0 1Windhoek Horeb 0 0 0 2 0 1Windhoek Hornkrantz 0 0 0 1 0 1Windhoek Hosea Kutako 0 0 2 38 2 19Windhoek Hosea Kutako Nb 0 0 2 85 2 51Windhoek Hosea Kutako Sb 0 0 0 8 0 6Windhoek Hugel 0 0 0 2 0 1Windhoek Hugo 0 0 0 2 0 1Windhoek Hugo Hahn 0 0 0 2 0 1Windhoek Hwang-ho 0 0 0 1 0 1Windhoek Hydra 0 0 0 10 0 5Windhoek Iceland 0 0 0 1 0 1Windhoek Ichaboe 0 0 0 2 0 2Windhoek Indepen N/e Park 0 4 4 137 7 81Windhoek Indepen S/e Park 0 0 0 4 0 4Windhoek Independence 3 7 8 362 15 205Windhoek Independence Eb 0 2 0 4 1 2Windhoek Independence Nb 1 0 3 286 4 196Windhoek Independence S/eb Slip 1 0 1 12 2 7Windhoek Independence Sb 0 0 0 45 0 35Windhoek Independence Slip (n) 0 0 4 18 2 10Windhoek Isak Kazongari 0 0 0 1 0 1Windhoek Iscor 0 0 0 23 0 14



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Windhoek J James 0 0 0 1 0 1Windhoek Jade 0 0 0 1 0 1Windhoek Jakob Hamajeuo 0 0 0 2 0 1Windhoek Jan Brand 0 0 0 1 0 1Windhoek Jan Jonker 0 0 4 128 3 75Windhoek Jan Jonker Eb 0 0 0 2 0 2Windhoek Jasmyn 0 0 0 1 0 1Windhoek Jaspers 0 0 0 12 0 9Windhoek Jennie Maakal 0 0 0 1 0 1Windhoek Jerigo 0 0 1 1 1 0Windhoek Johann Albrecht 0 0 3 73 2 38Windhoek Johann Herbart 0 0 0 2 0 1Windhoek Johanna Kazahendika 0 0 0 1 0 1Windhoek John Ludwig 0 0 0 4 0 2Windhoek John Meinert 0 0 2 53 2 30Windhoek John Meinert Eb 0 0 1 145 1 81Windhoek John Meinert Wb 0 0 0 5 0 3Windhoek John Muanfangejo 0 0 0 2 0 1Windhoek John Wycliff 0 0 0 2 0 1Windhoek Jordan 0 2 1 30 2 14Windhoek Josef Gariseb 0 0 0 1 0 1Windhoek Josef Vambo 0 0 0 2 0 1Windhoek Joseph Erasmus 0 0 0 1 0 1Windhoek Joseph Wood 0 0 0 2 0 1Windhoek Joule 0 0 0 7 0 5Windhoek Judea 0 0 0 1 0 1Windhoek Judt 0 0 0 2 0 1Windhoek Julius Nyerere Street 0 0 0 6 0 4Windhoek Jupiter 0 0 0 3 0 2Windhoek Justine 0 0 0 2 0 1Windhoek Kainab 0 0 0 1 0 1Windhoek Kakelaar 0 0 0 1 0 1Windhoek Kallie Roodt 0 0 0 6 0 3Windhoek Kamberipa 0 1 0 15 1 9Windhoek Kanna 0 0 0 18 0 9Windhoek Karasburg Street 0 0 0 2 0 1Windhoek Karibes Street 0 0 0 2 0 1Windhoek Karl Dove 0 0 0 2 0 1Windhoek Karlien 0 0 0 2 0 1Windhoek Karmel 0 0 0 1 0 1Windhoek Kasch 0 0 0 3 0 2Windhoek Kasino 0 0 0 3 0 2Windhoek Keller 0 0 0 3 0 3Windhoek Kenneth Mcarthur 0 0 0 2 0 1Windhoek Kepler 0 0 0 2 0 1



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Windhoek Kerby 0 0 0 1 0 1Windhoek Kestrel 0 0 1 1 1 1Windhoek Kindergarten 0 0 1 1 1 0Windhoek Kindt 0 0 0 1 0 1Windhoek Kingfisher 0 1 2 29 2 18Windhoek Kingsley 0 0 0 1 0 1Windhoek Kitaar 0 0 0 1 0 1Windhoek Klaagliedere 0 0 0 1 0 1Windhoek Kleine Kuppe 0 0 0 6 0 4Windhoek Kleinschmidt 0 0 0 3 0 2Windhoek Knudsen 0 0 0 4 0 2Windhoek Koigab Street 0 0 0 1 0 1Windhoek Koinseb 0 0 0 1 0 1Windhoek Konrad 0 0 1 0 1 0Windhoek Kores 0 0 0 2 0 1Windhoek Kornalyn 0 1 1 9 2 5Windhoek Korner 0 0 0 1 0 1Windhoek Kronieke 0 0 0 3 0 2Windhoek Kroon 0 0 0 2 0 1Windhoek Krupp 0 0 0 4 0 4Windhoek Kuiseb 0 0 1 15 1 8Windhoek Kunene 0 0 0 1 0 1Windhoek Kupferberg 0 0 1 9 1 9Windhoek Lambda 0 0 0 1 0 1Windhoek Lanzarote 0 0 0 2 0 1Windhoek Laurent D Kabila 0 1 1 16 2 8Windhoek Lazarett 0 0 1 65 1 39Windhoek Ld Kabila Slip 0 0 0 3 0 2Windhoek Lemoen 0 0 0 7 0 3Windhoek Leonard Auala 0 0 0 7 0 3Windhoek Liberty Island 0 0 0 5 0 3Windhoek Liliencron 0 0 0 6 0 4Windhoek London 0 0 0 3 0 2Windhoek Long Island 0 0 0 24 0 18Windhoek Lossen 0 0 0 1 0 1Windhoek Louis Raymond 0 0 0 7 0 5Windhoek Love 0 0 0 7 0 7Windhoek Lucifer 0 0 0 1 0 1Windhoek Luderitz 0 0 0 9 0 6Windhoek Luther 0 0 2 15 1 12Windhoek M Gandhi Wb Slip 0 0 0 2 0 2Windhoek M Ndemu Nb Slip 0 0 0 1 0 1Windhoek M Ndemufayo E Serv 0 0 0 3 0 2Windhoek M Ndemufayo Nb Slip 0 0 1 1 1 0Windhoek Macadam 0 0 0 1 0 1



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Windhoek Magdala 0 0 0 3 0 2Windhoek Mahatma Gandhi 0 0 2 65 2 33Windhoek Majorie Clark 0 0 0 3 0 2Windhoek Malagiet 0 0 0 2 0 1Windhoek Mandume Ndemufayo 0 0 3 83 3 57Windhoek Mandume Ndemufayo Eb 0 1 1 43 1 22Windhoek Mandume Ndemufayo Nb 0 4 14 275 13 162Windhoek Mandume Ndemufayo Sb 0 0 1 26 1 16Windhoek Mandume Ndemufayo Wb 0 0 0 5 0 4Windhoek Mara 0 0 0 2 0 1Windhoek March 0 0 0 1 0 1Windhoek Marconi 0 0 1 4 1 2Windhoek Margareten 0 0 0 1 0 1Windhoek Marico 0 0 0 1 0 1Windhoek Mark 0 0 0 2 0 1Windhoek Market 0 0 0 4 0 2Windhoek Martha 0 0 0 1 0 1Windhoek Mary 0 0 0 1 0 1Windhoek Mataman 0 0 0 1 0 1Windhoek Matshitshi 0 1 1 33 2 16Windhoek Maxwell 0 0 0 8 0 5Windhoek Mayo 0 0 0 1 0 1Windhoek Mensa 0 0 0 4 0 2Windhoek Mercedes 0 0 0 2 0 2Windhoek Mercury 0 1 0 5 1 2Windhoek Merensky 0 0 0 5 0 3Windhoek Mersey 0 0 0 1 0 1Windhoek Michelangelo 0 0 0 2 0 1Windhoek Michelle Mclean 0 0 0 12 0 8Windhoek Mika Shimbuli 0 0 1 3 1 1Windhoek Mission 0 0 0 1 0 1Windhoek Moab 0 0 1 1 1 0Windhoek Mokke 0 0 1 0 1 0Windhoek Moltke 0 0 0 3 0 2Windhoek Mont Blanc 0 0 0 1 0 1Windhoek Monte Christo 1 6 5 140 10 81Windhoek Monte Christo Slip 0 0 0 2 0 2Windhoek Monte Christo Slip 1 0 0 1 1 1 0Windhoek Monte Christo Slip 3 0 2 1 17 3 8Windhoek Mooi 0 0 0 1 0 1Windhoek Moses Garoep 0 2 6 76 6 39Windhoek Mostert 0 0 0 4 0 3Windhoek Mozart 0 0 0 15 0 9Windhoek Mudarib Street 0 0 0 2 0 1Windhoek Mungunda 0 1 2 62 3 35



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Windhoek Munjuku Nguvauva 0 0 0 1 0 1Windhoek Nachtigal 0 0 0 5 0 4Windhoek Naguil 0 0 0 1 0 1Windhoek Nasmith 0 0 0 1 0 1Windhoek Nauchab Street 0 0 0 5 0 5Windhoek Nelson Mandela 0 0 3 182 3 113Windhoek New Castle 0 0 2 27 2 15Windhoek Newton 0 0 0 2 0 2Windhoek Nickel 0 0 1 19 1 11Windhoek Ohima Street 0 0 0 1 0 1Windhoek Okahwe 0 0 0 5 0 3Windhoek Okandondu 0 0 0 2 0 1Windhoek Okapi 0 0 0 2 0 1Windhoek Okarundu 0 0 0 5 0 4Windhoek Okondeka 0 0 0 1 0 1Windhoek Olga 0 0 0 2 0 1Windhoek Olivien 0 0 0 1 0 1Windhoek Olof Palme 0 0 0 8 0 5Windhoek Olyfberg 1 0 0 1 1 0Windhoek Omatjene 0 0 0 1 0 1Windhoek Ombakata 0 1 1 5 2 2Windhoek Omenye 0 0 0 2 0 1Windhoek Omeva 0 0 0 1 0 1Windhoek Omongo 0 0 2 18 2 11Windhoek Ompilu Street 0 0 0 2 0 1Windhoek Omulunga 0 1 2 14 3 7Windhoek Omungwindi 0 0 0 1 0 1Windhoek Omuramba 0 0 0 4 0 4Windhoek Omuryambambi 0 0 1 2 1 1Windhoek Omusaona Street 0 0 0 1 0 1Windhoek Omutula 0 0 0 8 0 4Windhoek Omuvapo 0 0 0 11 0 7Windhoek Omuvapu 0 0 3 11 3 5Windhoek Omuve 0 1 1 0 1 0Windhoek Ondangaura 0 0 0 1 0 1Windhoek Ondoto 0 0 0 9 0 5Windhoek Ongaka 0 1 0 1 1 0Windhoek Onganga 0 0 0 1 0 1Windhoek Ongava 0 2 5 68 6 34Windhoek Ongeyama 0 0 0 1 0 1Windhoek Ongurukwenaw 0 0 0 1 0 1Windhoek Onguya 0 1 1 4 2 0Windhoek Ongwari 0 0 0 1 0 1Windhoek Onyati 0 0 0 1 0 1Windhoek Ooievaar 0 0 0 19 0 11



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Windhoek Orban 0 0 0 1 0 1Windhoek Oribi 0 0 0 1 0 1Windhoek Orinoco 0 0 0 1 0 1Windhoek Orion 0 0 0 1 0 1Windhoek Orukwenyaere 0 0 0 1 0 1Windhoek Oryx 0 0 0 1 0 1Windhoek Osprey 0 0 0 1 0 1Windhoek Otjomuise 0 2 2 78 4 44Windhoek Otjomuise East Slip 1 0 0 0 2 0 1Windhoek Otjourundu 0 0 0 2 0 1Windhoek Otjozondjou 0 0 0 1 0 1Windhoek Ottawa 0 0 2 0 1 0Windhoek Otto Nitzsche 0 0 0 5 0 3Windhoek Outeniqua 0 0 0 3 0 2Windhoek Palladium 0 0 0 4 0 3Windhoek Palm 0 0 0 7 0 5Windhoek Palma 0 0 0 1 0 1Windhoek Papagaien 0 0 0 2 0 1Windhoek Papaja 0 0 2 2 1 2Windhoek Papawer 0 0 0 2 0 1Windhoek Park 0 0 0 3 0 2Windhoek Parsons 0 0 0 30 0 18Windhoek Parsons Slip 0 0 0 1 0 1Windhoek Pasteur 0 0 0 8 0 4Windhoek Patmos 0 0 1 3 1 1Windhoek Paul Van Hartes 0 0 0 3 0 2Windhoek Pavo 0 0 0 2 0 2Windhoek Pelican 0 0 0 17 0 10Windhoek Penning 0 0 0 7 0 5Windhoek Perkin 0 0 0 3 0 2Windhoek Petronella 0 0 0 2 0 1Windhoek Pettenkofer 0 0 0 2 0 1Windhoek Phillip Turimei 0 0 0 1 0 1Windhoek Pienaar 0 0 1 9 1 5Windhoek Pietersen 0 0 0 1 0 1Windhoek Pinguin 0 0 0 1 0 1Windhoek Planck 0 0 0 8 0 4Windhoek Platinum 0 0 0 6 0 3Windhoek Plato 0 0 0 6 0 4Windhoek Potgieter 0 0 0 2 0 1Windhoek Pou 0 0 0 2 0 1Windhoek Promenaden 0 0 0 3 0 2Windhoek Pronkertjie 0 0 0 2 0 1Windhoek Psalm 0 0 0 4 0 3Windhoek Pullman 0 0 0 2 0 1



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Injury crashes

Damage only

Windhoek Quenta 0 0 0 6 0 3Windhoek R Mugabe Nb Slip 2 0 0 0 4 0 2Windhoek R Mugabe Nb Slip 3 0 0 1 4 1 1Windhoek Raben 0 0 0 2 0 1Windhoek Rama 0 0 0 2 0 1Windhoek Rand 0 0 0 22 0 14Windhoek Ranonkel 0 0 0 5 0 3Windhoek Rath 0 0 0 2 0 1Windhoek Redecker 0 0 0 2 0 1Windhoek Reger 0 0 0 2 0 1Windhoek Reginald Walker 0 0 0 2 0 2Windhoek Rehobother 0 0 5 85 4 56Windhoek Reiher 0 0 0 3 0 2Windhoek Rendsburger 0 0 1 13 1 9Windhoek Rev Michael Scott 0 0 1 15 1 10Windhoek Rhino 0 0 0 12 0 7Windhoek Richard Kahiko 0 0 0 2 0 2Windhoek Richard Kamuhuka 0 0 0 1 0 1Windhoek Richard Tjiramba 0 0 0 2 0 1Windhoek Ridvan 0 0 0 4 0 2Windhoek Rieckmann 0 0 0 1 0 1Windhoek Rieks Van Der Walt 0 0 0 2 0 2Windhoek Road 1 0 0 5 61 5 54Windhoek Road 10 0 0 1 16 1 14Windhoek Road 11 0 0 0 1 0 1Windhoek Robert Mugabe 0 0 7 298 6 183Windhoek Robert Mugabe Avenue 0 0 0 9 0 5Windhoek Robert Mugabe Nb 0 0 0 1 0 1Windhoek Robert Mugabe Sb 0 0 0 5 0 3Windhoek Robyn 0 0 0 4 0 2Windhoek Roentgen 0 0 0 2 0 1Windhoek Rolynne 0 0 0 2 0 1Windhoek Rooivalk 0 0 0 1 0 1Windhoek Rooskwarts 0 0 0 2 0 1Windhoek Rusch 0 0 0 1 0 1Windhoek Ruth 0 0 0 4 0 2Windhoek Sabie 0 0 0 1 0 1Windhoek Sadduseer 0 0 1 3 1 2Windhoek Safari 0 0 1 1 1 0Windhoek Sageus Kavandje 0 0 0 1 0 1Windhoek Sal Island 0 0 0 1 0 1Windhoek Salk 0 0 0 8 0 4Windhoek Salt Springs 0 0 1 3 1 1Windhoek Sam Nujoma 0 2 7 358 7 241Windhoek Sam Nujoma Slip 0 0 0 12 0 9



Slightly injured

Not in-jured

Injury crashes

Damage only

Windhoek Sameul Shikomba 0 0 1 2 1 1Windhoek Sanderburg 0 0 1 1 1 0Windhoek Sando 0 0 0 1 0 1Windhoek Sanhedrin 0 0 0 2 0 1Windhoek Sard 0 0 0 1 0 1Windhoek Sartre 0 0 0 1 0 1Windhoek Sauer 0 0 0 2 0 1Windhoek Schanzen 0 0 0 10 0 5Windhoek Scheppmann 0 0 0 13 0 8Windhoek Schiller 0 0 0 2 0 1Windhoek Schmerenbeck 0 0 0 1 0 1Windhoek Schoeman 0 0 0 4 0 3Windhoek Schonlein 0 0 0 6 0 3Windhoek Schopenhauer 0 0 0 1 0 1Windhoek Schutzen 0 0 0 1 0 1Windhoek Schweitzer 0 0 0 7 0 3Windhoek Sculptor 0 0 0 2 0 1Windhoek Sean Mcbride 0 0 1 14 1 9Windhoek Seder 0 0 0 7 0 4Windhoek Seitz 0 0 0 1 0 1Windhoek Sekretar 0 0 0 3 0 2Windhoek Senegal Street 0 0 0 1 0 1Windhoek Sesriem 0 0 0 4 0 3Windhoek Setsotho 0 0 1 1 1 0Windhoek Shanghai 0 2 4 60 6 35Windhoek Shanghai South 0 0 1 0 1 0Windhoek Sheffield 0 0 0 2 0 1Windhoek Shilunga 0 0 0 2 0 2Windhoek Shire 0 0 0 1 0 1Windhoek Siegfried Tjitemsa 0 0 1 2 1 1Windhoek Silver 0 0 0 2 0 1Windhoek Simpson 0 0 0 4 0 2Windhoek Sinclair 0 0 1 2 1 2Windhoek Sitrien 0 0 0 1 0 1Windhoek Skopsuil 0 0 0 2 0 1Windhoek Smit 0 0 0 4 0 3Windhoek Snyman Circle 0 0 0 12 0 9Windhoek Social 0 0 0 1 0 1Windhoek Socrates 0 0 0 2 0 1Windhoek Softball 0 0 0 1 0 1Windhoek Southhampton Street 0 0 0 1 0 1Windhoek Spencer 0 0 0 2 0 1Windhoek Spreuke 0 0 0 5 0 2Windhoek Sprokieswoud 0 0 0 1 0 1Windhoek Stadium 0 0 0 1 0 1



Slightly injured

Not in-jured

Injury crashes

Damage only

Windhoek Starling 0 0 0 1 0 1Windhoek Stein 0 0 2 7 2 5Windhoek Stockholm 0 0 0 1 0 1Windhoek Stokes 0 0 1 1 1 0Windhoek Storch 0 0 0 8 0 6Windhoek Strauss 0 0 0 2 0 1Windhoek Sturrock 0 0 0 1 0 1Windhoek Sukkot 0 0 1 11 1 5Windhoek Susanna 0 0 0 2 0 2Windhoek Tacoma 0 0 1 31 1 16Windhoek Tal 0 2 1 70 3 43Windhoek Tal Link 0 0 1 17 1 12Windhoek Tarentaal 0 0 0 4 0 3Windhoek Tauben 0 0 0 1 0 1Windhoek Taurus 0 0 0 2 0 1Windhoek Tchagra 0 0 0 3 0 2Windhoek Tegnies/academia 0 0 0 1 0 1Windhoek Teinert 0 0 0 2 0 1Windhoek Tenerife Road 0 0 0 1 0 1Windhoek Tennis 0 0 0 2 0 1Windhoek Thorer 0 0 0 4 0 3Windhoek Tigris 0 0 0 1 0 1Windhoek Titanium 0 0 0 4 0 2Windhoek Titus Namueja 0 1 0 2 1 1Windhoek Tjixati 0 0 1 2 1 0Windhoek Toermalyn 0 0 0 2 0 1Windhoek Tommie Muller 0 0 0 3 0 2Windhoek Torra Street 0 0 0 1 0 1Windhoek Traugott Handura 0 0 0 2 0 1Windhoek Trift 0 0 0 1 0 1Windhoek Trinidad 0 0 0 3 0 2Windhoek Troas 0 0 1 4 1 2Windhoek Trotha 0 0 0 2 0 1Windhoek Tsauchab 0 0 0 3 0 2Windhoek Tugela 0 2 1 18 2 13Windhoek Tulp Eb 0 0 0 2 0 1Windhoek Tunschel 0 0 0 4 0 2Windhoek Uhland 0 0 0 42 0 25Windhoek Van Aswegen 0 0 0 1 0 1Windhoek Van Den Heever 0 0 1 9 1 4Windhoek Van Der Bijl 0 0 0 4 0 2Windhoek Van Rhijn 0 0 0 6 0 3Windhoek Van Zyl 0 0 0 1 0 1Windhoek Venning 0 0 0 4 0 3Windhoek Verbena 0 0 0 2 0 2


Windhoek Vienna 0 0 0 3 0 2Windhoek Viljoen 0 0 0 3 0 3Windhoek Virgin Island 0 0 0 1 0 1Windhoek Virgo 0 0 0 1 0 1Windhoek Visagie Plein 0 0 0 1 0 1Windhoek Visarend 0 1 2 23 3 12Windhoek Vogelsang 0 0 0 2 0 1Windhoek Voigts 0 0 0 21 0 13Windhoek Voltaire 0 0 0 1 0 1Windhoek Von Auer Plats 0 0 0 2 0 1Windhoek Von Braun 0 0 0 2 0 1Windhoek Von Goldhammer 0 0 0 2 0 2Windhoek Washington 0 0 0 1 0 1Windhoek Wasserbock 0 0 0 1 0 1Windhoek Weather Bureau 0 0 1 2 1 0Windhoek Weber 0 0 0 1 0 1Windhoek Wecke 0 0 0 15 0 9Windhoek Wendy 1 2 0 2 1 1Windhoek Werner List 1 0 0 59 1 34Windhoek Werth 0 0 0 2 0 1Windhoek Western Bypass Slip 1 1 8 142 10 94Windhoek Wewer 0 0 0 1 0 1Windhoek Wiesbaden 0 0 0 2 0 1Windhoek Wika 0 0 0 1 0 1Windhoek Wilibald Kapuenene 0 1 0 14 1 7Windhoek Willan 0 0 0 3 0 2Windhoek Willemien 0 0 0 2 0 1Windhoek Williams 0 0 0 2 0 1Windhoek Willie Gulubane 0 0 2 3 1 1Windhoek Witvalk 0 0 0 4 0 2Windhoek Wright 0 0 0 2 0 1Windhoek Xamigaub 0 0 0 2 0 1Windhoek Zambesi 0 0 0 11 0 7Windhoek Zedekias Ogamb 0 0 1 1 1 0Windhoek Ziegler 0 0 0 1 0 1Total 61 284 718 13748 843 8293


Slightly injured

Not in-jured

Injury crashes

Damage only


APPENDIX V: NUMBER OF CASUALTIES BY POLICE STATION AND REGIONSRegion Police Station

Fatal injuries Serious injury Slight injury Damage onlyErongo Arandis 1 12 12 68

Hentiesbay 1 15 6 38

Karibib 8 17 27 100

Kuisebmund 1 11 46 233

Mondesa 0 6 23 174

Narraville 0 5 6 49

Omaruru 1 13 25 119

Swakopmund 17 28 20 549

Uis 1 10 15 17

Usakos 4 13 22 69

Walvisbay 5 19 64 554

Subtotal 40 149 266 1970Hardap Aranos 0 8 8 21

Derm 0 1 0 10

Gibeon 1 12 16 13

Gochas 0 4 5 4

Kalkrand 3 7 25 23

Klein Aub 0 1 1 0

Maltahohe 3 8 11 20

Mariental 3 13 26 150

Rehoboth 14 24 51 186

Schlip 0 1 2 1

Stampriet 4 3 14 19

Subtotal 27 82 159 447Karas Ariamsvlei 1 3 1 3

Aroab 0 0 0 13

Assenkher 1 3 6 10

Aus 0 0 11 12

Bethanie 0 2 5 10

Karasburg 0 6 11 38

Keetmanshoop 3 11 18 93

Koes 1 0 0 2

Luderitz 0 4 6 54

Noordoewer 0 2 0 11

Oranjemund 1 2 6 40

Rosh Pinah 0 4 3 51

Tses 1 5 5 37

Warmbad 0 0 0 2

Subtotal 9 42 72 376


Kavango East (NO) Ndiyona 3 10 13 25

Mukwe 13 14 25 45

Mururani 5 4 8 23

Rundu 9 34 81 360

Subtotal 30 62 127 453Kavango West Kahenge 9 21 25 59

Subtotal 9 21 25 59Khomas Dordabis 0 0 0 3

Groot Aub 0 0 0 26

Hosea Kutako 0 12 7 66

Katutura 34 129 251 1490

Okahandja 36 70 104 422

Wanaheda 0 20 57 1014

Windhoek 5 27 157 4707

Subtotal 75 258 576 7728Kunene Kamanjab 3 28 16 64

Khorixas 7 27 22 71

Okangwati 0 0 0 1

Opuwo 8 23 22 105

Outjo 7 11 21 145

Sesfontein 0 0 1 3

Werda 0 0 2 15

Subtotal 23 89 84 404Ohangwena Eenhana 7 59 31 77

Ohangwena 17 30 48 126

Okongo 3 9 13 27

Omungwelume 9 18 13 24

Subtotal 35 116 105 254Omaheke Amunuis 0 4 1 8

Du Plessis 0 3 8 5

Epukiro 3 13 3 12

Gobabis 4 19 40 220

Leonardville 0 6 7 12

Omitara 0 5 8 9

Otjinene 4 11 21 14

Tallismanus 1 5 0 9

Trans-Kalahari 1 4 1 17

Witvlei 1 7 6 19

Subtotal 14 77 95 325Omusati Ogongo 1 4 2 2

Okahao 5 38 41 108

Onandjaba 1 3 8 16

Outapi 10 26 51 142

Ruacana 0 7 12 33

Tsandi 4 0 4 5

Subtotal 22 78 118 306


Oshana Ondangwa 18 57 62 433

Ongwediva 9 28 50 322

Oshakati 10 39 70 506

Subtotal 38 124 182 1261Oshikoto Okatope 3 19 48 226

0

Oshivello 7 53 55 139

Tsintsabis 2 2 2 15

Tsumeb 10 21 53 239

Subtotal 22 95 158 619Otjozondjupa Grootfontein 5 18 24 186

Hochfeld 1 3 4 15

Kalkfeld 0 5 13 28

Kombat 0 0 0 19

Maroelaboom 0 2 3 22

Okakarara 3 22 24 76

Osire 0 4 2 8

Otavi 5 17 22 72

Otjiwarongo 9 47 52 526

Tsumkwe 0 1 10 20

Subtotal 23 119 154 972Zambezi Katima Mulilo 10 21 41 221

Kongola 4 1 2 29

Ngoma 1 1 5 4

Omega 3 1 2 3

Subtotal 18 24 50 257TOTAL 387 1336 2171 15431




NATIONAL ROAD SAFETY COUNCIL

c/o Independence Avenue & Harold Pupkewitz Street

PO Box 113, Windhoek, NamibiaTel: 061 - 231 717 | Fax: 061 - 239 745

Date post:	11-Feb-2017
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2012 Road Accident Statistical Report

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