Transport Statistics

Transport StatisticsBulletin 2014

“Transport is the heartbeat of South Africa’s economic growth and social development”

Transport Statistics

Transport Statistics Bulletin: 2014 “Transport, the Heartbeat of Economic Growth and Social Development”

Annual Transport Statistics Bulletin 2014 Republic of South Africab

Copyright © 2017

Department of Transport (DOT), 159 Struben Street, Forum Building, Pretoria, 0001

“Extracts of this document may be copied or reproduced provided that the source is fully

acknowledged.”

Department of Transport Cataloguing-in-Publication Data

Transport Statistics Bulletin/Department of Transport, 2014

Pretoria: Department of Transport

p109

ISBN: 978-0-621-45585-4

Annually

Title continues in English only

1. Transport Statistics Bulletin 2014

I. Republic of South Africa. Department of Transport

II. Title

(LCSH 29)

This publication can be accessed on the Department of Transport website: www.transport.gov.za

Copies are available from: Information Centre, Department of Transport

Tel: +27 (0) 12 309 3657

Fax: +27 (0) 12 309 3757

E-mail: [email protected]

Annual Transport Statistics Bulletin 2014 Republic of South Africa i

ACKNOWLEDGEMENTS

The Department of Transport wish to extend its sincere thanks to the organisations that supplied

the data for inclusion in the Annual Transport Statistics Bulletin: 2014. In alphabetical order they

are:

Airports Company of South Africa

Association of Motorcycle Importers and Distributors

Department of Energy

Gautrain Management Agency

National Association of Automobile Manufacturers of South Africa

Port Regulator Authority

Passenger Rail Agency of South Africa

Road Traffi c Management Corporation

South African Airways

South African Civil Aviation Authority

South African National Roads Agency Limited

South African Petroleum Industry Association

Statistics South Africa

Transnet Freight Rail

Transnet National Port Authority

Transnet Pipelines

Comments, additional information and enquiries can be directed to the Statistical Analysis

Directorate at [email protected] or Tel: +27 (0) 12 309 3190.

Annual Transport Statistics Bulletin 2014 Republic of South Africaii

Mr. Mathabatha Mokonyama

Acting Director-General: Transport

FOREWORD

This is the 2014 edition of the annual Transport Statistics Bulletin. The main aim of the Transport

Statistics Bulletin is to compile statistical information from various sources in the transport sector

into a comprehensive bulletin for use by policymakers, industry players, transport analysts and the

wider South African community. The publication covers a wide variety of statistics for all modes

of transport, that include aviation, road, rail and maritime. It, inter alia, consists of a series of

information on passenger volumes, ports operations, live vehicle population, road safety, airports

and many other topics that may be of interest to the transport sector.

The statistics covered in the bulletin were collected to a large extent from government departments

and government agencies in the transport sector. Since the bulletin is a compendium of transport

statistics, it therefore acts as a one-stop source of statistical information and thus enabling users

to make comparison of trends across modes in respect of transport indicators. We trust that it will

continue to be a useful source of information.

Annual Transport Statistics Bulletin 2014 Republic of South Africa iii

TABLE OF CONTENTS

ACKNOWLEDGEMENTS ................................................................................................................. i

FOREWORD ................................................................................................................................... ii

TABLE OF CONTENTS .................................................................................................................. iii

LIST OF TABLES ........................................................................................................................... iv

LIST OF FIGURES ......................................................................................................................... vi

LIST OF MAPS ............................................................................................................................. vii

ABBREVIATIONS AND ACRONYMS ............................................................................................ vii

EXECUTIVE SUMMARY ...............................................................................................................viii

SECTION 1: GENERAL INFORMATION .......................................................................................1

1.1 EMPLOYMENT .........................................................................................................................2

1.2 TRANSPORT AND ECONOMY ................................................................................................6

1.3 FINANCE AND INFRA-STRUCTURE ......................................................................................11

1.4 LAND TRANSPORT STATISTICS ...........................................................................................14

SECTION 2: ROAD ......................................................................................................................17

2.1 ROAD NETWORK AND INFRASTRUCTURE EXPENDITURE ................................................19

2.2 MOTOR VEHICLES PRODUCTION AND SALES ...................................................................20

2.3 MOTOR VEHICLES REGISTRATION ......................................................................................27

2.4 LICENSING INFORMATION ...................................................................................................35

2.5 ROAD SAFETY .......................................................................................................................39

SECTION 3: MARITIME ..............................................................................................................51

3.1 CARGO HANDLED AND VESSELS’ ARRIVALS .....................................................................53

SECTION 4: AVIATION ................................................................................................................68

4.1 AIRCRAFT REGISTRATION AND LICENSING .......................................................................70

4.2 AIR TRAFFIC INFORMATION .................................................................................................75

4.3 AIRCRAFT ACCIDENTS AND INCIDENTS .............................................................................77

SECTION 5: RAIL ........................................................................................................................79

5.1 RAIL PASSENGER INFORMATION ........................................................................................81

5.2 RAIL PERFORMANCE ............................................................................................................85

5.3 GAUTRAIN STATISTICS .........................................................................................................88

SECTION 6: PIPELINES ..............................................................................................................91

6.1 PIPELINES ..............................................................................................................................93

Notes ............................................................................................................................................96

Annual Transport Statistics Bulletin 2014 Republic of South Africaiv

LIST OF TABLES

Table 1.1: Formal Sector Employment by Industry, 2009 - 2014 2Table 1.2: Annual Employment in Vehicle Manufacturing Industry,2008 - 2014 3Table 1.3: Transnet Employment in Operational Divisions, 2008-2014 4Table 1.4: Contribution of the Transport and Communication Sectors to the Gross Domestic Product (GDP), 2008-2014 6Table 1.5: Motor Trade Sales, 2008-2014 7Table 1.6: Contribution of each type of activity to the percentage change in motor trade sales, 2014 8Table 1.7: Provincial motor vehicle licence revenue by province, 2010/11 - 2013/14 8Table 1.8: Basic Fuel Prices (cents/litre) and Exchange Rate (R/US$), 2014 9Table 1.9: Summary of Expenditure on Infrastructure, 2007/08-2013/14 11Table 1.10: New Vehicle Manufacturing Industry Capital Expenditure, 2008 - 2014 12Table 1.11: Average Motor Vehicle Assembly Industry Capacity Utilisation Levels, 2008 - 2014 12Table 1.12: South Africa’s Automotive Industry’s Performance in a Global Context, 2008 - 2014 13Table 1.13: Total Freight Transport Estimates, 2010-2014 14Table 1.14: Distribution of tourists by mode of travel and place of arrival, 2014 16Table 2.1: Provincial Roads Maintenance Grant Expenditure, 2012/13-2013/14 19Table 2.2: Vehicles Production, Sales, Exports and Imports, 2008 - 2014 20Table 2.3: Vehicle Retail Sales by Type in 2014 21Table 2.4: Motorcycles Sales by User Class and Engine Class, 2008 - 2014 23Table 2.5: World Motor Vehicle Production by Region, 2013 to 2014 24Table 2.6: World Motor Vehicle Production by Country, 2013 to 2014 25Table 2.7: Live Vehicle Population by Province, 2008-2014 27Table 2.8: New Vehicles Registration by Province, 2014 29Table 2.9: Used Vehicles Registration by Province, 2014 30Table 2.10: Annual Number of Registered Motorised Vehicles, 2008 - 2014 31Table 2.11: Annual Live Motorised Vehicle Population by Province, 2008 - 2014 32Table 2.12: Age of Motor Vehicle Population, 2014 33Table 2.13: Number of Learners Licences Issued, 2014 35Table 2.14: Number of Driving Licences Issued per Province by Category, 2014 36Table 2.15: Annual Number of Driving Licences Issued per Category, 2008-2014 37Table 2.16: Annual Number of Professional Driving Permits (PrDP’s) Issued, 2008-2014 38Table 2.17: Traffi c Volumes, 2013 – 2014 39Table 2.18: Number of fatal crashes & fatalities, 2014 40Table 2.19: Law Enforcement – National Achievement, Easter 2014 40Table 2.20: Number of fatal crashes & fatalities, 2013/14 - 2014/15 41Table 2.21: Percentage share of crashes per day of the week, Festive 2014 42Table 2.22: Percentage share of fatalities per road user group, Festive 2014 42Table 2.23: Percentage share of fatalities per Gender & Race, Festive 2014 43Table 2.24: Law enforcement – National Achievement, Festive 2014 44Table 2.25: Number of unroadworthy vehicles, 2014 45

Annual Transport Statistics Bulletin 2014 Republic of South Africa v

Table 2.26: Number of unlicensed vehicles, 2014 46Table 2.27: Number of fatal crashes & fatalities per province, 2013 – 2014 47Table 2.28: Monthly number of fatal crashes & fatalities, 2013 -2014 48Table 2.29: Number of fatalities per road user group & Severity of fatal crashes over 12 months period, 2013 – 2014 49Table 2.30: Crash Type nationally, 2014 50Table 2.31: Vehicle/Road/Human factors nationally, 2014 50Table 3.1: Bulk Cargo Handled (Metric Tons), 2014 53Table 3.2: Breakbulk Cargo Handled(Metric Tons), 2014 54Table 3.3: Total Cargo Handled (Metric Tons), 2014 55Table 3.4: Annual Bulk Handled(Metric Tons) in South African Ports, 2008 - 2014 56Table 3.5: Annual Break Bulk Handled (MetricTons) in South African Ports, 2008-2014 57Table 3.6: Annual Cargo Handled in South African Ports, 2008-2014 58Table 3.7: Total Cargo (Metric Tons) Imported and Exported through South African Ports, 2008-2014 60Table 3.8: Total Number of Containers Invoiced at South African Ports (in 6M Units TEU’s), 2014 62Table 3.9: Annual Number of Containers Invoiced at South African Ports (6M Units TEU’s), 2008-2014 63Table 3.10: Total Number of Vessels Arrived at South African Ports, Jan to Dec 2014 65Table 3.11: Annual Number of Vessel Arrivals at South African Ports, 2008-2014 67Table 4.1: Number of Pilot and Other Licenses Issued by Gender 70Table 4.2: Number of Civil Registered Aircrafts 72Table 4.3: Number of Sports and Recreational / NTCA Registered Aircrafts 73Table 4.4: Passenger Volumes by Airport 75Table 4.5: Aircraft Movements by Airport 76Table 4.6: Aircraft Accidents and Incidents 77Table 4.7: Aircraft Accidents and Incidents, 2008 – 2014 77Table 5.1: Metrorail Rail Passengers by Region, 2013 – 2014 81Table 5.2: Passenger Kilometres Travelled by Region, 2013 - 2014 83Table 5.3: Monthly Percentage Change from Previous Year in Passenger Kilometres Travelled by Region 2014 84Table 5.4: Number of Trains ran, 2013 – 2014 85Table 5.5: Average Percentage of Trains on Time, 2013 - 2014 86Table 5.6: Average Percentage of Trains Delayed, 2013 – 2014 86Table 5.7: Average Percentage of Trains Cancelled, 2013 - 2014 86Table 5.8: Accidents in Passenger Rail Operations, 2010-2014 87Table 5.9: Gautrain Passenger Flows, 2014 88Table 5.10: Annual Gautrain Passenger Flows, 2013 – 2014 89Table 6.1: Annual Volumes of Petroleum Products Transported, 2009 - 2014 93Table 6.2: Sources of crude oil for SAPIA members, 2009 – 2014 94

Annual Transport Statistics Bulletin 2014 Republic of South Africavi

LIST OF FIGURES

Figure 1.1: Percentage Changes in Formal Sector Employment by Industry 2Figure 1.2: Percentage change in Average Employment in Vehicle Manufacturing Industry, 2008–2014 4Figure 1.3: Annual Number of Transnet Employment, 2008-2014 5Figure 1.4: Percentage share Contribution of the Transport and Communication Sectors to the Gross Domestic Product (GDP), 2008-2014 6Figure 1.5: Annual Motor Trade Sales, 2008-2014 7Figure 1.6: Provincial motor vehicle licence revenue by province, 2013/14 9Figure 1.7: Average Basic Fuel Price (cents/litre) 10Figure 1.8: Year on Year change in Basic Fuel Price (cents/litre), 2013 to 2014 10Figure 1.9: Summary of Expenditure on Infrastructure, 2008/09-2013/14 12Figure 1.10: South Africa Share of Global Production, 2008 to 2014 13Figure 1.11: Total Freight Payload (000 tons) Estimates for 2014 15Figure 2.1: Provincial Roads Maintenance Grant Expenditure, 2011/12 to 2013/14 19Figure 2.2: Vehicles Domestically Produced, 2008-2014 21Figure 2.3: Annual Vehicle Retails Sales by Type in 2014 22Figure 2.4: Motorcycles Sales by User Class and Engine Class,2008-2014 24Figure 2.5: World Motor Vehicle Production by Region, 2013 to 2014 25Figure 2.6: World Motor Vehicle Production by Country, 2013 to 2014 26Figure 2.7: Live vehicle population by province, as at 31 December 2014 28Figure 2.8: Live vehicle population by vehicle type, as at 31 December 2014 28Figure 2.9: Percentage change in Registered Motorised Vehicles, 2008 2014 31Figure 2.10: Annual Live Motorised Vehicle Population by Province 2008 2014 32Figure 2.11: Age of Motor Vehicle Population 1 - 6, 2014 34Figure 2.12: Number of Learners Licences Issued by Category, 2014 35 Figure 2.13: Driving Licences Issued in 2014 by Category 36Figure 2.14: Annual Driving Licences Issued by Category, 2008-2014 37Figure 2.15: Annual Number of Professional Driving Permits (PrDP’s) Issued, 2008-2014 38Figure 2.16: Percentage change in Traffi c Volumes, 2013-2014 39Figure 2.17: Number of fatal crashes & fatalities, 2014 40Figure 2.18: Percentage change in fatal crashes & fatalities, 2013/14 - 2014/15 41Figure 2.19: Percentage share of crashes per day of the week, Festive 2014 42Figure 2.20: Percentage share of fatalities per road user group, Festive 2014 43Figure 2.21: Number of unroadworthy vehicles, 2014 45Figure 2.22: Number of unlicensed vehicles, 2014 46Figure 2.23: Number of fatal crashes & fatalities per province, 2014 47Figure 2.24: Monthly number of fatal crashes & fatalities, 2014 48Figure 2.25: Fatalities per road user group over 12 months period, 2014 49 Figure 3.1: Total Bulk, Break-bulk and Cargo Handled (Metric Tons), 2014 56Figure 3.2: Annual Bulk Handled (Metric Tons) in South African Ports, 2014 57Figure 3.3: Annual Break Bulk Handled (Metric Tons) in South African Ports, 2014 58Figure 3.4: Annual Cargo Handled (Metric Tons) in South African Ports, 2014 59

Annual Transport Statistics Bulletin 2014 Republic of South Africa vii

Figure 3.5: Total Cargo (Metric Tons) Imported and Exported through South African Ports, 2008-2015 61Figure 3.6: Number of Containers Invoiced at South African Ports, 2008-2014 64Figure 3.7: Annual Number of Vessel Arrivals at South African Ports, 2008-2014 67Figure 4.1: Number Pilot and Other Licences issued by Gender, 2008-2014 71Figure 4.2: Annual Number of Civil Registered Aircrafts, 2008-2014 73Figure 4.3: Annual Number of Sports and Recreational / NTCA Registered Aircrafts, 2008-2014 74Figure 4.4: Annual Number of Passenger Volumes, 2014 75Figure 4.5: Aircraft Movements by Airport, 2014 76Figure 4.6: Annual Number of Aircraft Fatal Accidents and Fatalities, 2008-2014 78Figure 5.1: Metrorail Rail Passenger Volumes, 2013-2014 82Figure 5.2: Passenger Kilometres Travelled by Region, 2013-2014 84Figure 5.3: Number of Trains ran, 2013-2014 85Figure 5.4: Accidents in Passenger Rail Operations, 2010-2014 87Figure 5.5: Number of Gautrain Passengers, 2013/14 89Figure 5.6: Annual Passenger Flows, 2013-2014 90Figure 6.1: Annual Volumes of Petroleum Products Transported, 2009-2014 93Figure 6.2: Sources of crude oil for SAPIA members, 2009-2014 95

LIST OF MAPS

Map A: National Road Network of the Republic of South Africa 18Map B: Major Ports of the Republic of South Africa 52Map C: Airports of the Republic of South Africa 69Map D: National Railway Network of the Republic of South Africa 80Map E: Republic of South Africa Pipeline Network 92

ABBREVIATIONS AND ACRONYMS

ACSA Airports Company of South Africa AMID Association of Motorcycle Importers and Distributors DOE Department of Energy DOT Department of Transport GMA GaGautrain Management Agency NAAMSA National Association of Automobile Manufacturers of South Africa PRA Port Regulator Authority PRASA Passenger Rail Agency of South Africa RTMC Road Traffi c Management Corporation SAA South African Airways SACAA South African Civil Aviation Authority SANRAL South African National Roads Agency Limited SAPIA SAPIA South African Petroleum Industry Association StatsSA Statistics South Africa TFR Transnet Freight Rail TNPA Transnet National Port Authority

Annual Transport Statistics Bulletin 2014 Republic of South Africaviii

EXECUTIVE SUMMARY

INTRODUCTIONThe objective of the Transport Statistics Bulletin is to provide a comprehensive publication of transport statistics which give a coherent summary of transport activity in South Africa.

This section seeks to present selected high level transport indicators from the Statistical Bulletin 2014. It solely based on information that the Department of Transport was able to get from stakeholders in the transport sector. The summary of results follows the sequence of the sections that are in the bulletin.

GENERAL TRANSPORT RELATED TRENDSEmployment in the transport sector decreased by 9.6% to 952 000 in 2014 when compared with that of the fourth quarter of 2013. Transport sector constituted about 6% of the total formal sector employment in fourth quarter 2014 (Stats SA, 2014).

Audited transport related infrastructure expenditure outcomes in other spheres of Government, agencies and departments grew by 9% from R39,3 billion in 2013/14 to R43 billion in 2013/14.

Estimates from Statistics South Africa indicated that the payload transported on rail increased from 214 million tons in 2013 to about 223 million in 2014. A signifi cant proportion (72%) of the payload continued to be carried by road.

ROADS

Infrastructure

Approximately R8,7 billion was spent on provincial roads maintenance in 2013/14. Kwazulu-Natal had the highest proportion of expenditure of 21.1%, then followed by Eastern Cape and Limpopo with 17.6% and 15.9% respectively. The total expenditure on provincial road maintenance had actually increased by 28% in 2013/14 when compared to that of 2012/13.

Vehicle Population and Licensing

The number of registered motorised vehicles increased by about 3.4% to 10,2 million in 2014. Gauteng province had the largest share of 38.9% of live motorised vehicle population in 2014, followed by Western Cape and Kwazulu-Natal with 16% and 13.9% respectively. The number of driving licences issued increased by 4.7% to 11.1 million in 2014 from 10,6 million in 2013.

Road Safety

South African roads had 10,367 fatal crashes which resulted in 12,702 fatalities in the calendar year 2014. The percentage increase in fatal crashes was 1.9% whereas that of fatalities was 7.2% when compared to 2013.

Annual Transport Statistics Bulletin 2014 Republic of South Africa ix

MARITIME

Annual Cargo and Bulk

The total cargo handled by South African ports increased by 2.8% to 220 million metric tons in 2014, with Richards Bay continuing to have the largest percentage share of 42.9%.The annual bulk increased to approximately 204 million metric tons in 2014 with Richards Bay port continuing to handle the largest share of the annual bulk (44%) followed by Saldanha Bay and Durban ports with 31% and 18% respectively.

Imports and Exports

Imports handled at the South African ports dropped by 0.8% to about 50.1 million tons in 2014 while exports handled dropped by 23.5% to approximately 164 million tons in the same year.

AVIATION

Licensing and Registration

The number of pilot and other licences issued declined by 17.1% to 2304 in 2014. Licences issued to males constituted about 42% of the total fi gure. Civil registered aircraft had an upturn of about 1.3% to 6059 in 2014.

Air traffi c

Passenger volumes at airports run by ACSA increased by 3.5% to 35.9 million in 2014 from 34.7 million in 2013. OR Tambo Airport continued to have the highest share (53%) of passenger volumes followed by Cape Town (24%) and Durban (12%). The same upward trend was observed in aircraft movements which increased by 5.3% to 541 126 in 2014.

Air Safety

Aircraft accidents and fatalities generally decreased in 2014 when compared to 2013. Accidents decreased by 9.3% to 129 while fatalities decreased by 11.4% to 31 in 2014.

RAIL

Passenger rail information

The average Metro Rail passenger volume per month for the calendar year 2014 was approximately 44 million passengers. The percentage of trains that were on time was 82%.

The Gautrain has had a 16 % increase in passenger volumes transported to about 14.9 million passengers in 2014.

Annual Transport Statistics Bulletin 2014 Republic of South Africax

Rail Safety

The total number of accidents recorded in the passenger rail operations decreased by 12.5 % to 42 in 2014.

PIPELINES

The total annual volume of petroleum products transported through pipelines grew by 4.4% to 16.5 billion litres in 2014.

SECTION 1GENERAL INFORMATION

Annual Transport Statistics Bulletin 2014 Republic of South Africa2

1.1 EMPLOYMENT

Table 1.1: Formal Sector Employment by Industry, 2009 – 2014

October to December (Fourth Quarter) Year-on-year change

(%)

2009 2010 2011 2012 2013 2014

Thousand

Agriculture 624 627 630 685 713 742 -0.6%

Mining 301 298 327 357 426 427 12.0%

Manufacturing 1,792 1,783 1,789 1,730 1,766 1,749 -2.7%

Utilities 102 94 81 98 127 104 24.1%

Construction 1,127 1,056 1,057 1,061 1,204 1,334 6.4%

Trade 2,933 2,975 3,060 2,921 3,224 3,247 3.7%

Transport 767 761 788 816 961 952 -9.6%

Finance & other business services 1,812 1,594 1,739 1,804 2,037 2,039 4.5%

Community & Social services 2,661 2,826 2,902 3,028 3,470 3,501 6.7%

Private Households 1,129 1,117 1,118 1,076 1,244 1,219 4.6%

Total 13,248 13,131 13,422 13,577 15,177 15,320 4.5%

Note: Due to rounding, numbers do not necessarily add to totals

Source: Statistics South Africa (Stats SA)

Table 1.1 shows that employment in the transport sector decreased by 9.6% to 952 000 in 2014

when compared with that of the fourth quarter of 2013. Transport sector constituted about 6.2%

of the total formal sector employment in fourth quarter 2014.

Figure 1.1: Percentage of Employment in the Transport Sector, 2009 – 2014


20,0

15,0

10,0

5,0

0,0

-5,020142009 2010 2011 2012 2013

Transport -0,9-0,9 -0,8 3,5 3,6 17,8

Annual Transport Statistics Bulletin 2014 Republic of South Africa 3

Table 1.2: Annual Employment in Vehicle Manufacturing Industry, 2008 – 2014

Month 2008 2009 2010 2011 2012 2013 2014

January 36,731 33,675 27,813 28,050 28,444 30,566 30,132

February 36,707 33,495 27,904 28,090 28,548 30,361 30,003

March 36,475 32,392 27,747 28,179 28,656 30,299 29,904

April 35,955 31,163 27,865 28,408 28,738 30,095 29,803

May 36,164 30,725 27,817 28,126 28,699 29,969 29,615

June 36,059 30,467 27,919 28,085 28,669 29,903 29,381

July 35,458 30,220 27,958 28,174 29,748 29,748 28,723

August 35,664 30,212 27,977 28,276 29,823 29,823 28,699

September 35,686 30,325 27,996 28,623 30,344 30,344 28,988

October 35,104 30,032 28,057 29,150 29,847 30,245 30,602

November 35,333 30,209 28,147 28,200 30,298 30,240 30,393

December 34,963 30,161 28,128 28,147 30,159 29,857 30,466

Monthly Average 35,858 31,090 27,942 28,292 29,331 30,121 29,726

% change -6.4 -13.3 -10.1 1.3 3.7 2.7 -1.3

Source: National Association of Automobile Manufacturers of South Africa (NAAMSA)

Table 1.2 presents employment in the vehicle manufacturing industry of South Africa. The annual

average employment in the vehicle manufacturing sector decreased by 1.3% to 29,726 in 2014

from 30,121 in 2013.


Figure 1.2: Percentage change in Average Employment in Vehicle Manufacturing Industry, 2008 – 2014


Table 1.3: Transnet Employment in Operational Divisions, 2008 – 2014

Operational Division 2008 2009 2010 2011 2012 2013 2014Year on Year % Change

Spoornet (TFR incl RME) 24,577 24,234 23,609 23,374 25,442 29,489 29,225 -0.01

Transwerk (TRE) 13,486 13,622 12,922 12,282 12,572 12,752 12,428 -0.03

TNPA 3,173 3,255 3,150 3,245 3,422 3,584 3,823 0.07

Petronet (TPL) 466 477 523 515 565 627 621 -0.01

SAPO (TPT) 5,395 5,267 5,306 5,720 6,211 6,662 6,624 -0.01

Other (TCP,TP,TCC) 2,710 1,610 1,950 0.21

Total Permanent Employees

47,097 46,855 47,129 47,763 50,922 54,724 54,671 0.00

Permanent & Fixed Term Employees

57,983 56,866 56,242 55,519 60,739 64,352 64,122 0.00

Note: dashes denote Operational Divisions are no longer under Transnet

Source: Transnet

There has been a decrease in the permanent employment at Transnet operational division from

54,724 in 2013 to 54,672 in 2014.

6,0

4,0

2,0

0,0

-2,0

-4,0

-6,0

-8,0

-10,0

-12,0

-14,0

-16,0

20142009 2010 2011 2012 2013Employment in Vehicle Manufacturing Industry 2,7-6,4 -13,3 -10,1 1,3 3,7

2008

-1,3


70 000

60 000

50 000

40 000

30 000

20 000

10 000

-

Total Permanent Employees

Permanent & Fixed Term Employees

Figure 1.3: Annual Number of Transnet Employment, 2008 – 2014

2008 2009 2010 2011 2012 2013 2014

47 097

57 983

46 855

56 866

47 129

56 242

47 763

55 519

50 922

60 739

54 724

64 352

54 671

64 122


1.2 TRANSPORT AND ECONOMY

Table 1.4: Contribution of the Transport and Communication Sectors to the Gross Domestic Product (GDP), 2008-2014

2008 2009 2010 2011 2012 2013 2014

R’million

GDP at market prices 2,708,601 2,666,940 2,748,008 2,836,287 2,899,247 2,963,389 3,008,576

Transport, storage and communication

226,136 354,870 229,499 236,439 236,439 247,062 252,648

Percentage Contribution of Transport, Storage & Comminication to GDP

8.35% 13.31% 8.35% 8.34% 8.16% 8.34% 8.40%


The overall contribution to the gross domestic product (GDP) at market prices of the Transport,

storage and communication sector stood at about 8.4% in 2014 (Table 1.4).

Figure 1.4: Percentage share Contribution of the Transport and Communication Sectors to the Gross Domestic Product (GDP), 2008-2014


2008 2009 2010 2011 2012 2013 2014

14,0%

12,0%

10,0%

8,0%

6,0%

4,0%

2,0%

0,0%

Percentage Contribution of Transport, Storage & Communication GDP

8,3% 13,3% 8,4% 8,3% 8,2% 8,3% 8,4%


Table 1.5: Motor Trade Sales at current prices, 2008 – 2014

Month 'R million

2008 2009 2010 2011 2012 2013 2014

January 29,596 25,150 27,674 32 482 36,190 41,495 44,770

February 30,508 25,936 29,126 33,465 38,021 40,891 44,117

March 30,667 28,002 31,857 37,020 40,302 42,659 45,965

April 30,789 24,431 29,300 32,309 36,913 42,738 43,929

May 30,707 25,727 31,234 34,543 40,701 44,494 45,702

June 29,800 26,854 30,446 35,641 39,719 41,293 45,870

July 32,801 29,102 32,485 35,708 40,562 45,863 49,325

August 31,333 26,542 33,125 37,510 41,370 44,442 47,424

September 30,127 27,477 31,372 38,082 39,496 41,998 47,357

October 31,575 28,486 32,010 36,682 43,367 45,362 50,092

November 29,464 29,407 34,273 39,254 43,833 44,412 47,234

December 28,186 29,984 33,898 36,769 39,160 40,259 45,283

Total 365,553 327,098 376,800 429,465 479,634 515,906 557,068

% Change 4.0% -10.5% 15.2% 14.0% 11.7% 7.6% 8.0%


The motor vehicle sales increased from R515 billion in 2013 to R557 billion in 2014 as shown by

Table 1.5.

Figure 1.5: Motor Trade Sales at current prices, 2008 – 2014


600 000

500 000

400 000

300 000

200 000

100 000

-2008 2009 2010 2011 2012 2013 2014

365 553 327 098 376 800 429 465 479 634 515 906 557 068Total


Table 1.6: Contribution of each type of activity to the percentage change in motor trade sales, 2014

Type of activityOct to Dec 2013

(R’million)Weight

Oct to Dec 2014 (R’million)

% change Between Oct to Dec 2013 & Oct

to Dec 2014

Contribution (% points) to the

total % change

New vehicle sales

38,242 27.9% 39,922 4.4% 1.2%

Used vehicle sales

24,074 17.6% 24,414 1.4% 0.2%

Workshop income

8,486 6.2% 8,875 4.6% 0.3%

Income from the sales of accessories

22,374 16.3% 23,858 6.6% 1.1%

Income from fuel sales

38,743 28.3% 39,909 3.0% 0.9%

Income from convenience store sales

5,168 3.8% 5,632 9.0% 0.3%

Total 137,089 100.0% 142,609 4.0% 4.0%


The major contributor to the 4% increase in motor trade sales at the last quarter of 2014 were

income from new cars and fuel sales which amounted to approximately R80 billion when combined

(Table 1.6). New vehicle and fuel sales accounted for about 56% of activity in the motor trade

sector.

Table 1.7: Provincial motor vehicle licence revenue by province, 2010/11 - 2013/14

R’ million 2010/11 2011/12 2012/13 2013/14 Year on Year percentage

changeProvinces Outcome

Eastern Cape 332 347 369 411 11.4

Free State 301 369 400 447 11.8

Gauteng 1,706 2,228 2,402 2,602 8.3

Kwazulu-Natal 1,084 1,232 1,319 1,396 5.8

Limpopo 183 229 237 264 11.4

Mpumalanga 239 239 309 416 34.6

Northern Cape 116 124 132 136 3.0

North West 197 231 356 368 3.4

Western Cape 902 956 1,008 1,095 8.6

Total 5,060 5,955 6,532 7,135 9.2

Source: National Treasury

Table 1.7 shows that R 7.1 billion in revenue from motor vehicle licenses has been collected during

2013/14 fi nancial year. This represents a growth of about 9.2% when compared to fi nancial year

2012/13.


Figure 1.6: Provincial motor vehicle licence revenue by province, 2013/14


Table 1.8: Basic Fuel Prices (cents/litre) and Exchange Rate (R/US$), 2014

2014 RSA c/litre

Petrol 93 Unleaded

Petrol 95 Unleaded

Diesel 0.05% Sulphur

Diesel 0.005% Sulphur

Illum Paraffi n

Exchange Rate Rands/

US$

Average Dated Brent

Crude

January 781.190 792.190 856.630 860.030 864.128 10.3581 110.73

February 817.990 828.990 878.030 882.030 876.128 10.8105 108.35

March 851.790 862.790 903.630 908.030 892.128 11.0054 108.87

April 835.590 848.590 873.630 879.030 853.128 10.7695 107.67

May 829.370 842.370 852.630 858.030 834.128 10.5576 108.31

June 813.950 826.950 835.630 839.030 824.128 10.4042 109.69

July 842.950 857.950 849.630 853.030 847.128 10.6743 111.62

August 838.570 853.570 839.630 844.030 840.128 10.6609 106.64

September 771.750 786.750 818.630 824.030 821.128 10.6781 101.57

October 773.750 781.750 805.630 811.030 807.128 10.6781 97.73

November 728.750 736.750 744.630 744.630 755.128 11.1004 87.54

December 648.250 656.250 686.630 692.030 701.128 11.0969 79.75

Average 2014 794.492 806.242 828.747 832.913 826.295 10.7328 103.21

Average 2013 741.051 753.585 785.047 789.537 783.633 9.590 108.505

Year-on-Year % Change

7.2% 7.0% 5.6% 5.5% 5.4% 11.9% -4.9%

Source: Department of Energy (DME)


Figure 1.7: Average Basic Fuel Price (cents/litre), 2014

Source: Department of Energy (DOE)

Figure 1.8: Year on Year change in Basic Fuel Price (cents/litre), 2013 to 2014

Year-onYear % Change

Petrol 93Unleaded

Petrol 95Unleaded

Diesel 0.05%Sulphur

Diesel 0.005%Sulphur

IllumParaffi n

ExchangeRate Rands/

US$

AverageDated Brent

Crude

7,2 705,6 5,5 5,4

11,9

-4,9


1.3 FINANCE AND INFRA-STRUCTURE

Table 1.9: Summary of Expenditure on Infrastructure, 2008/09-2013/14

Infrastructure transfers to other spheres, agencies and departments

Expenditure outcome

Audited Audited Audited Audited Audited Audited

R thousand 2008/09 2009/10 2010/11 2011/12 2012/13 2013/14

Rail-Passenger Rail Agency 5,417,290 7,017,635 8,265,206 9,474,098 10,227,905 11,159,113

Rail-Gautrain 3,265,993 2,976,720 438,360 5,300 0 0

Bus subsidies and Public Transport Operations Grant

3,840,873 3,899,643 3,863,033 4,153,232 4,317,269 4,552,521

Roads-SANRAL 4,059,964 5,608,086 6,844,501 14,401,596 9,728,055 10,497,184

Roads-Provincial Roads Grant 3,323,019 4,162,161 4,080,104 5,872,354 6,828,533 8,737,775

Roads-Overload Control and Roads Grants

38,796 44,416 11,038 0 0 0

Roads-Road Asset management System

8,900 12,800 10,400 35,439 37,295 52,205

Taxi 565,567 730,452 609,207 576,323 605,705 590,786

Public Transport infrastructure and Systems:

-Municipalities 2,919,830 2,418,177 3,699,462 4,803,347 4,988,103 4,668,676

-Passenger Rail Agency 0 464,758 500,000 0 0 0

-S.A. National Roads Agencies 100,000 106,000 0 0 0 0

Public Transport Network Grant 0 0 0 0 0 881,305

Disaster Management Grant 1,035,473 116,900 0 240,000 489,912 367,822

Coal haulage 0 0 0 585,000 663,400 808,900

Road Accident Fund 2,500,000 0 0 0 0 0

Transfer to other Public Entities 154,144 159,579 147,168 161,012 479,526 306,931

eNaTIS maintenance from transaction fees

165,000 198,835 186,040 417,640 297,000 0

Other 766,814 747,836 500,630 471,190 665,512 413,626

Total 28,161,663 28,663,998 29,155,149 41,196,531 39,328,215 43,036,844

% Change - 1.8 1.7 41.3 -4.5 9.4


Table 1.10 shows that audited infrastructure expenditure outcomes in other spheres of Government,

agencies and departments grew from R39.3 billion in 2012/13 to R43 billion in 2013/14. This

represents a 9.4% year on year increase.


Figure 1.9: Summary of Expenditure on Infrastructure, 2008/09-2013/14

Source: Department of Transport

Table 1.10: New Vehicle Manufacturing Industry Capital Expenditure, 2008 – 2014

Capital Expenditure 2008 2009 2010 2011 2012 2013 2014

Product/Local/Content/Export Investment/ Production Facilities 2 807,7 2 215,9 3351,1 3522,7 3990,2 3604.9 6092

Land and Buildings 329,1 178,7 441,2 176,4 402,2 424.3 478

Support Infrastructure (I.T., R&D, Technical, etc.) 153,1 74,1 202,4 203,6 306,1 319.3 347

Total 3 289,9 2468,0 3994,7 3902,7 4698,5 4348.5 6917


Table 1.11: Average Motor Vehicle Assembly Industry Capacity Utilisation Levels, 2008 – 2014

2008 2009 2010 2011 2012 2013 2014

Cars 68.3% 59.4% 77.1% 81.6% 86.5% 68.00% 67.00%

Light Commercials 73.9% 56.5% 68.4% 73.5% 87.8% 75.30% 80.50%

Medium Commercials 89.9% 64.6% 77.2% 88.4% 84.3% 59.80% 85.70%

Heavy Commercials 87.6% 66.1% 77.5% 89.9% 86.9% 69.30% 80.70%


There has been an increase in expenditure on production facilities by automotive manufacturers

to R6.9 billion in 2014 from about R4.3 billion in 2013.

Thou

sand

s

50 000

40 000

30 000

20 000

10 000

02008/9 2009/10 2010/11 2011/12 2012/13 2013/14

Total 28 161 663 28 663 998 29 155 149 41 196 531 39 328 215 43 036 844


Table 1.11 indicates the percentage of productive capacity utilization in the automotive production

plants in South Africa. There was a general improvement in the utilization of production capacity

for almost all the classes of vehicles in 2014 except in the cars segment. This observation is

consistent with the increase in capital expenditure on production facilities in Table 1.10.

Table 1.12: South Africa’s Automotive Industry’s Performance in a Global Context, 2008 – 2014

2008 2009 2010 2011 2012 2013 2014

Global Vehicle Production 70,5 61,0 77.61 79.88 84.14 87.2 89.77

SA Vehicle Production 0.6 0.4 0.472 0.533 0.546 0.5 0.566

SA Share of Global Production 0.8% 0.6% 0.6% 0.7% 0.6% 0.6% 0.6%

Source: National Association of Automobile Manufacturers of South Africa (NAAMSA), International Organisation of

Motor Vehicle Manufacturers (OICA)

Table 1.12 shows that the South African share in the global vehicle production remain steady at

0.6%.

Figure 1.10: South Africa Share of Global Production, 2008 – 2014

0,9%

0,8%

0,7%

0,6%

0,5%

0,4%

0,3%

0,2%

0,1%

0,0%2008 2009 2010 2011 2012 2013 2014

SA Share of Global Production 0,8% 0,6% 0,6% 0,7% 0,6% 0,6% 0,6%


1.4 LAND TRANSPORT STATISTICS

Table 1.13: Total Freight Transport Estimates, 2011 – 2014

RAIL ROAD

Payload (000 tons) Income (R

million)2014

Payload (000 tons) Income (R

million)20142011 1/ 2012 1/ 2013 2014 2011 1/ 2012 1/ 2013 2014

January 14,094 16,809 17,244 18,079 2,890 33,933 36,752 41,865 42,045 6,249

February 16,845 17,673 19,051 17,188 2,732 36,962 39,821 43,896 44,559 6,611

March 15,970 17,699 17,323 16,925 2,625 42,653 39,493 43,231 45,697 6,611

April 16,395 17,220 17,961 19,561 3,249 39,674 37,536 44,445 46,703 6,717

May 16,445 15,570 14,808 15,512 2,623 41,059 41,777 45,549 48,832 7,233

June 13,004 17,953 18,506 19,128 3,121 42,325 41,481 42,610 47,812 7,099

July 15,990 18,390 18,776 18,795 3,080 42,704 40,327 46,069 48,728 7,208

August 16,409 17,016 18,482 18,832 3,242 43,544 41,811 45,754 48,142 7,040

September 18,212 18,874 18,734 20,336 3,378 44,578 39,026 45,092 48,791 7,225

October 18,037 16,455 18,464 19,663 3,068 43,738 41,884 45,047 50,118 7,404

November 17,900 18,615 18,164 20,284 3,277 45,776 46,612 47,066 51,547 7,721

December 17,251 17,142 17,318 19,265 3,074 38,194 37,533 40,397 42,291 6,176

Total 196,552 209,416 214,831 223,568 36,359 495,140 484,053 531,021 565,265 83,294

1/ Preliminary


Table 1.15 shows that the payload transported on rail increased from 214 million tons in 2013 to

about 223 million in 2014. The payload transported by road increased from 531 million tons to 565

million tons in 2014.


Figure 1.11: Total Freight Payload (000 tons) Estimates 2011 to 2014

2011 2012 2013 2014

600 000

500 000

400 000

300 000

200 000

100 000

0

RailRoad


Source: Statistics South Africa

Table 1.14: Distribution of tourists by mode of travel and place of arrival, 2013 - 2014

Mode of travel and place of arrival 2013 2014

Total % Total %

Total 9,536,568 100.0 9,549,236 100.0

Air 3,164,204 (33.2%) 100.0 2,573,080 (26.9%) 100.0

Cape Town International Airport 461,186 14.6 524,131 20.4

King Shaka International Airport 35,920 1.1 38,449 1.5

O.R. Tambo International Airport 2,656,522 84.0 2,001,365 77.8

Other Airport 10,576 0.3 9,135 0.4

Road 6,364,603 (66.7%) 100.0 6,970,810 (73.0%) 100.0

Botswana 755,558 11.9 806,293 11.6

Lesotho 1,495,719 23.5 1,535,433 22.0

Mozambique 1,070,603 16.8 1,256,032 18.0

Namibia 128,536 2.0 135,769 1.9

Swaziland 1,017,989 16.0 1,135,486 16.3

Zimbabwe 1,896,198 29.8 2,101,797 30.2

Sea 6,987 (0.1%) 100.0 4,402 (0.1%) 100.0

Cape Town Harbour 2,102 30.1 2,472 56.2

Durban Harbour 4,240 60.7 59 1.3

Port Elizabeth Harbour 182 2.6 1,745 39.6

Other Harbours 463 6.6 126 2.9

Unspecifi ed 774 100.0 944 100.0

Source: Statistics South Africa

Table 1.14 shows the distribution of tourists that visited South Africa in 2014. A large proportion of tourist came to the country by road (73.0%), followed by those who came by Air (26.9%) and a small percentage came through by Sea (0.1%).

SECTION 2ROADS


Map

A: N

atio

nal R

oad

Net

wor

k of

the

Rep

ublic

of S

outh

Afr

ica


2.1 ROAD INFRASTRUCTURE EXPENDITURE

Table 2.1: Provincial Roads Maintenance Grant Expenditure (R thousand), 2011/12 – 2013/14

Province 2011/12 2012/13 2013/142013/14

Percentage Share

Eastern Cape 1,034,086 1,203,807 1,292,390 17.6%

Free State 494,381 520,495 1,325,323 7.6%

Gauteng 566,917 572,770 655,148 8.4%

KwaZulu-Natal 1,236,648 1,440,471 1,523,528 21.1%

Limpopo 1,108,550 1,087,122 572,344 15.9%

Mpumalanga 605,437 581,694 1,489,393 8.5%

Northern Cape 501,826 584,011 699,484 8.6%

North West 407,755 359,268 661,905 5.3%

Western Cape 411,141 478,895 518,160 7.0%

Totals 6,366,741 6,828,533 8,737,775 100.0%

% Change - 7.3% 28.0%


Table 2.1 shows that approximately R8,7 billion was spent on provincial roads maintenance in

2013/14, Kwazulu-Natal had the highest proportion of 21.1%, then followed by Eastern Cape

and Limpopo with 17.6% and 15.9% respectively. The total expenditure on provincial road

maintenance increased by a whopping 28% in 2013/14 when compared to that of 2012/13.

Thou

sand

s

10 000

9 000

8 000

7 000

6 000

5 000

4 000

3 000

2 000

1 000

02011/12 2012/13 2013/14

Figure 2.1: Provincial Roads Maintenance Grant Expenditure, 2011/12 – 2013/14



2.2 MOTOR VEHICLES PRODUCTION AND SALES

Table 2.2: Vehicles Production, Sales, Exports and Imports, 2008 – 2014

2008 2009 2010 2011 2012 2013 2014

CARS

Domestically Produced

Local Sales 125 454 94 379 113 740 124 736 120 417 113 247 122 571

Exports (CBU) 195 670 128 602 181 654 1 287 529 151 659 151 893 154 920

Total Domestic Production 321 124 222 981 295 394 312 265 272 076 265 140 277 491

CBU Imports

NAAMSA 169 610 130 326 165 341 206 830

AMH & Others 34 198 33 424 58 049 64 726

Total Car Imports 203 808 163 750 223 390 271 556 323 796 338 701 318 343

Re-exported imports 1 609 1 652 1 650

TOTAL LOCAL CAR MARKET 329 262 258 129 337 130 396 292 442 604 450 296 439 264

LIGHT COMMERCIALS

Domestically Produced

Local Sales 118 641 85 663 96 823 108 704 121 638 127 051 137 044

Exports 87 314 45 514 56 950 84 125 123 443 121 345 118 585

Total Domestic Production 205 955 131 177 153 773 192 829 245 081 248 396 255 629

CBU Imports

NAAMSA 40 647 24 459 27 790 31 993

AMH & Others 10 178 8 037 9 121 8 604

Total LCV Imports 50 825 32 496 36 911 40 597 38 741 41 253 36 951

Re-exported imports 205 308 306

TOTAL LOCAL LCV MARKET 169 466 118 159 133 756 149 301 160 174 167 996 173 689

MEDIUM & HEAVY COMMERCIALS

NAAMSA sales (incl. Imports) 34 659 18 934 22 021 26 656 27 841 30 924 31 551

Exports 1 227 831 861 803 1 076 1 206 1 412

TOTAL MCV/HCV MARKET 34 659 18 934 22 021 26 656 27 841 30 924 31 551

TOTAL AGGREGATE MARKET 533 387 395 222 492 907 572 249 630 619 649 216 644 504

TOTAL AGGREGATE EXPORTS 284 211 174 947 239 465 272 457 277 992 276 404 276 873

TOTAL DOMESTIC PRODUCTION 562 965 373 923 472 049 532 645 546 074 545 666 566 083

GDP GROWTH RATE 3.2% -1.5% 3.0% 3.2% 2.2% 2.2% 1.5%

NO OF VEHICLE PRODUSED PER EMPLOYEE PER ANNUM

15.7 13.2 16.8 18.8 18.7 18.1 19.3

Note: Domestically produced cars and LCVs total represents a proxy for aggregate local production. Information based on data collected by NAAMSA and estimates of non-NAAMSA sales. CBU Export fi gures are based on projections announced to date. Announcements of new CBU export programmes could change projections.


The total domestic vehicle production increased to 566,083 units in 2014 from 545,666 units in

2013.


Table 2.3: Vehicle Retail Sales by Type in 2008 – 2014

Market 2008 2009 2010 2011 2012 2013 2014

BUS 912 1 434 1 434 972 1 089 1 046 1 253

HCV 6 276 3 839 3 839 4 693 4 944 5 474 5 441

LCV 118 641 110 122 110 122 140 680 147 357 169 209 173 782

MCV 6 601 7 229 7 229 8 663 9 346 11 583 11 001

PAS 124 696 224 705 224 705 330 703 364 724 450 466 438 942

XHV 9 633 6 432 6 432 11 710 11 913 12 820 13 838

Total 266 759 353 761 425 737 497 421 539 373 650 598 644 257

% Change - 32.61 20.35 16.84 8.43 20.62 -0.97 Note: HCV – Heavy Commercial Vehicle LCV – Light Commercial Vehicle < 3501kg MCV – Medium Commercial Vehicle 3501-8500kg XHV – Extra Heavy Vehicle > 16500kg PAS – Passenger Vehicle BUS – Bus > 8500kg


Vehicle retail sales declined from 650,598 units in 2013 to 644,257 units in 2014 (Table 2.3). This

was a 0.97% decrease in the volume of annual vehicle sales compared to 2013.

Figure 2.2: Vehicles Domestically Produced, 2008 – 2014


600 000

500 000

400 000

300 000

200 000

100 000

02008 2009 2010 2011 2012 2013 2014

562 965

373 923

472 049

532 645 546 074 545 666566 083


Figure 2.3: Annual Vehicle Retails Sales by Type in 2008 – 2014


100%

90%

80%

70%

60%

50%

40%

30%

20%

10%

0%

BUS HCV LCV MCV PAS XHV

2008 2009 2010 2011 2012 2013 2014


Table 2.4: Motorcycles Sales by User Class and Engine Class, 2008 – 2014.

User Class 2008 2009 2010 2011 2012 2013 2014

A

Scooters 0 - 500 2 613 1 807 1 873 5 919 6 367 4 552 4 126

Scooters 501 Up 64 39 35 33 75 75 77

Speciality 769 568 368 527 727 559 414

0 - 150 2 591 2 160 2 110 4 337 5 541 5 315 4 615

Commercial 3 323 2 018 1 729 1 614 1 681 1 063 561

Agricultural 1 035 1 166 883 640 480 545 431

Sub Total A 10 395 7 758 6 998 13 070 14 871 12 109 10 224

B

Trail 151 Up 4 830 3 684 3 790 4 436 4 923 5 571 4 275

Road 151 - 800 2 047 1 355 1 267 1 940 2 987 2 687 1 821

Road 800 Up 2 458 1 989 1 672 1 486 1 836 1 518 1 736

Cruiser 1 549 1 008 446 617 742 539 258

Sub Total B 10 884 8 036 7 175 8 479 10 488 10 315 8 090

C

Competition 2 065 1 466 1 361 998 959 891 971

Off Road 2 644 1 949 1 651 2 751 2 728 2 408 1 781

Sub Total C 4 709 3 415 3 012 3 749 3 687 3 299 2 752

TOTAL A+B+C 25 988 19 209 17 185 25 298 29 046 25 819 21 066

D

Quads - Rec 3 519 1 752 574 431 247 131 60

Quads - Util 3 786 1 993 1 702 1 767 2 045 1 809 1 706

Quads - Special 484 275 274 319 215 168 251

Side-by-sides 623 440 409 566 528 477 463

Sub Total D 8 412 4 460 2 959 3 083 3 035 2 585 2 480

Total A+B+C+D 34 400 23 669 20 144 28 381 32 081 28 404 23 546

Percentage Change -16.5% -31.2% -14.9% 40.9% 13.0% -11.5% -17.1%

Source: Association of Motorcycle Importers and Distributors (AMID)

The total motorcycles sales for all user type class decreased by 17.1% to 23,546 units in 2014

from 28,404 units in 2013 (Table 2.4 and Figure 2.4).


Figure 2.4: Motorcycles Sales by User Class and Engine Class, 2008 -2014


2008 2009 2010 2011 2012 2013 2014

Percentage Change -16,5% -31,2% -14,9% 40,9% 13,0% -11,5% -17,1%

-16,5% -31,2% -14,9%

40,9%

13,0%

-11,5% -17,1%

Table 2.5: World Motor Vehicle Production by Region, 2013 to 2014

RegionYTD 2013 YTD 2014

Year on Year % ChangeQ4 Q4

Europe 19 825 240 20 435 074 3.08

North America 16 501 115 17 419 895 5.57

South America 4 580 291 3 799 329 -17.05

Asia-Oceania 45 778 533 47 360 322 3.46

Africa 625 655 719 608 15.02

Total 87 310 834 89 734 228 2.78


Table 2.5 shows that the world motor vehicle production grew by 2.78% to 89,7 million units in

the fourth quarter of 2014. Motor vehicle production in the African region had the highest year on

year increase of 15.02%


EUROPE NORTH AMERICA

SOUTH AMERICA

ASIA-OCEANIA AFRICA TOTAL

Year on year % Change

Figure 2.5: World Motor Vehicle Production by Region, 2013 to 2014


3,085,57

-17,05

3,46

15,02

2,78

Table 2.6: World Motor Vehicle Production by Country, 2013 to 2014

Rank Country RegionYTD 2013 YTD 2014 Year on Year %

ChangeQ4 Q4

1 CHINA Asia-Oceania 22 116 825 23 722 890 7.26

2 USA North America 11 066 432 11 660 699 5.37

3 JAPAN Asia-Oceania 9 630 181 9 774 665 1.50

4 GERMANY Europe 5 718 222 5 907 548 3.31

5 SOUTH KOREA Asia-Oceania 4 521 429 4 524 932 0.08

6 INDIA Asia-Oceania 3 898 425 3 840 160 -1.49

7 MEXICO North America 3 054 849 3 365 306 10.16

8 BRAZIL South America 3 712 380 3 146 118 -15.25

9 SPAIN Europe 2 163 338 2 402 978 11.08

10 CANADA North America 2 379 834 2 393 890 0.59

24 SOUTH AFRICA Africa 545 913 566 083 3.69


South Africa is ranked 24th in the list of the largest motor vehicle production countries in the world

with 566,083 units produced in 2014. The top countries with the largest motor vehicle production

globally are China and USA with 23.7 million and 11.6 million units respectively.


0,00

0

CH

INA

US

A

JAPA

N

GE

RM

AN

Y

SO

UTH

KO

RE

A

IND

IA

ME

XIC

O

BR

AZ

IL

SPA

IN

CA

NA

DA

SO

UTH

AFR

ICA

Year on year % Change

Figure 2.6: World Motor Vehicle Production by Country, 2013 to 2014

2,265,37

1,503,31 0,08

-1,49

10,16

-15,25

11,08

3,690,59



2.3

M

OT

OR

VE

HIC

LES

RE

GIS

TR

AT

ION

Tab

le 2

.7: L

ive

Vehi

cle

Po

pul

atio

n b

y P

rovi

nce,

as

at 3

1 D

ecem

ber

201

4

Vehi

cle

Clas

s

Prov

ince

Tota

l%

of t

otal

se

lf-pr

opel

led

Gaut

eng

Kwaz

ulu

Nata

lW

este

rn

Cape

East

ern

Cape

Free

Sta

teM

pum

alan

gaNo

rth W

est

Lim

popo

North

ern

Cape

Mot

or c

ars

and

stat

ion

wag

ons

2 77

3 84

7 9

13 9

841

144

817

414

645

295

704

382

495

287

897

289

051

118

451

6 62

0 89

164

.70%

Min

ibus

es 1

16 1

14 4

7 61

5 3

2 20

2 2

1 91

2 1

2 00

5 2

1 55

3 1

7 14

4 2

0 69

5 4

518

293

758

2.87

%

Buse

s, b

us tr

ains

, mid

ibus

es 1

8 69

9 7

354

6 2

37 3

672

2 7

51 7

284

3 6

74 5

513

1 6

30 5

6 81

40.

56%

Mot

orcy

cles

, qua

druc

ycle

s, tr

icyc

les

148

035

35

379

84

339

23

850

21

202

20

853

15

230

10

607

8 5

48 3

68 0

433.

60%

LDV’

s, p

anel

van

s, o

ther

ligh

t loa

d ve

h’s

GVM

<=

350

0kg

755

381

331

183

296

246

185

422

124

484

194

689

140

555

200

769

74

384

2 30

3 11

322

.51%

Truc

ks (H

eavy

load

veh

icle

s GV

M >

350

0kg)

135

228

49

346

39

644

22

225

21

587

40

488

18

213

23

400

9 6

31 3

59 7

623.

52%

Othe

r sel

f-pr

opel

led

vehi

cles

35

957

31

938

35

622

15

031

37

442

26

720

23

336

15

794

8 6

69 2

30 5

092.

25%

Tota

l sel

f-pr

opel

led

vehi

cles

3 98

3 26

11

416

799

1 63

9 10

7 6

86 7

57 5

15 1

75 6

94 0

82 5

06 0

49 5

65 8

29 2

25 8

3110

232

890

% o

f to

tal t

ow

vehi

cles

Prov

inci

al %

of t

otal

38.9

3%13

.85%

16.0

2%6.

71%

5.03

%6.

78%

4.95

%5.

53%

2.21

%10

0.00

%

Cara

vans

40

704

7 8

28 1

6 77

1 5

364

7 9

40 1

0 25

1 6

692

5 5

24 2

987

104

061

9.43

%

Ligh

t loa

d tra

ilers

GVM

<=

350

0kg

319

823

79

191

130

844

52

736

61

369

60

847

50

743

38

590

26

923

821

066

74.3

8%

Heav

y lo

ad tr

aile

rs G

VM >

350

0kg

57

611

24

247

17

948

7 3

97 1

6 62

2 2

9 61

8 1

1 23

3 8

259

5 7

46 1

78 6

8116

.19%

Tota

l tra

ilers

418

138

111

266

165

563

65

497

85

931

100

716

68

668

52

373

35

656

1 10

3 80

8

Prov

inci

al %

of t

otal

37.8

8%10

.08%

15.0

0%5.

93%

7.78

%9.

12%

6.22

%4.

74%

3.23

%10

0.00

%

All o

ther

and

unk

now

n ve

hicl

es 5

387

3 2

05 4

606

2 7

12 4

123

4 2

16 4

901

2 6

55 1

422

33

227

Tota

l num

ber o

f liv

e ve

hicl

es4

406

786

1 53

1 27

01

809

276

754

966

605

229

799

014

579

618

620

857

262

909

11 3

69 9

25

Prov

inci

al %

of t

otal

38.7

6%13

.47%

15.9

1%6.

64%

5.32

%7.

03%

5.10

%5.

46%

2.31

%10

0.00

% S

ourc

e: D

epar

tmen

t of

Tra

nsp

ort


Figure 2.7: Live vehicle population by province, as at 31 December 2014

Figure 2.8: Live vehicle population by vehicle type, as at 31 December 2014




Tab

le 2

.8: N

ew V

ehic

le R

egis

trat

ions

by

Pro

vinc

e, a

s at

31

Dec

emb

er 2

014

Vehi

cle

Clas

s

Prov

ince

Tota

l%

of t

otal

se

lf-pr

opel

led

Gaut

eng

Kwaz

ulu

Nata

lW

este

rn

Cape

East

ern

Cape

Free

Sta

teM

pum

alan

gaNo

rth

Wes

tLi

mpo

poNo

rthe

rn

Cape

Mot

or c

ars

and

stat

ion

wag

ons

5 9

28 2

529

1 7

88 7

23 4

73 9

34 5

43 8

01 2

48 1

3 96

758

.31%

Min

ibus

es 3

25 2

20 1

14 1

15 2

3 7

7 8

1 7

5 2

3 1

053

4.40

%

Buse

s, b

us tr

ains

, mid

ibus

es 6

8 1

5 5

7 1

9 1

0 2

3 1

5 2

3 3

233

0.97

%

Mot

orcy

cles

, qua

druc

ycle

s, tr

icyc

les

650

147

444

64

61

71

42

32

22

1 5

336.

40%

LDV'

s, p

anel

van

s, o

ther

ligh

t loa

d ve

h's

GVM

<=

350

0kg

1 8

56 9

43 6

02 3

68 2

23 5

16 2

66 3

92 1

80 5

346

22.3

2%

Truc

ks (H

eavy

load

veh

icle

s GV

M >

35

00kg

) 5

29 2

26 1

79 9

9 6

1 6

7 5

1 7

2 3

0 1

314

5.49

%

Othe

r sel

f-pr

opel

led

vehi

cles

154

74

74

39

40

40

36

28

22

507

2.12

%

Tota

l sel

f-pr

opel

led

vehi

cles

9 5

10 4

154

3 2

58 1

427

891

1 7

28 1

034

1 4

23 5

28 2

3 95

3%

of t

otal

to

w

vehi

cles

Prov

inci

al %

of t

otal

39.7

0%17

.34%

13.6

0%5.

96%

3.72

%7.

21%

4.32

%5.

94%

2.20

%10

0.00

%

Cara

vans

62

11

7 1

6 1

3 1

2 5

1

172.

25%

Ligh

t loa

d tr

aile

rs G

VM <

= 3

500k

g 1

925

442

565

282

269

307

212

231

119

4 3

5283

.58%

Heav

y lo

ad tr

aile

rs G

VM >

350

0kg

281

112

56

29

74

117

27

29

13

738

14.1

7%

Tota

l tra

ilers

2 2

68 5

65 6

28 3

12 3

49 4

37 2

51 2

65 1

32 5

207

Tota

l pro

vinc

ial %

of t

otal

43.5

6%10

.85%

12.0

6%5.

99%

6.70

%8.

39%

4.82

%5.

09%

2.54

%10

0.00

%

All o

ther

and

unk

now

n ve

hicl

es 2

5

2

1

2

3

0

Tota

l num

ber

11

803

4 7

19 3

886

1 7

41 1

240

2 1

66 1

287

1 6

88 6

60 2

9 19

0

Prov

inci

al %

of t

otal

40.4

4%16

.17%

13.3

1%5.

96%

4.25

%7.

42%

4.41

%5.

78%

2.26

%10

0.00

%

Sou

rce:

Dep

artm

ent

of T

rans

por

t


Tab

le 2

.9: U

sed

Veh

icle

Reg

istr

atio

ns b

y P

rovi

nce,

as

at 3

1 D

ecem

ber

201

4

Vehi

cle

Clas

s

Prov

ince

Tota

l%

of t

otal

se

lf-pr

opel

led

Gaut

eng

Kwaz

ulu

Nata

lW

este

rn

Cape

East

ern

Cape

Free

Sta

teM

pum

alan

gaNo

rth

Wes

tLi

mpo

poNo

rthe

rn

Cape

Mot

or c

ars

and

stat

ion

wag

ons

34

123

12

263

13

379

5 4

80 3

507

5 0

64 3

506

3 5

98 1

284

82

204

71.3

9%

Min

ibus

es 1

320

770

381

243

128

203

231

269

41

3 5

863.

11%

Buse

s, b

us tr

ains

, mid

ibus

es 1

52 7

1 3

6 4

4 3

0 5

0 1

08 4

6 1

6 5

530.

48%

Mot

orcy

cles

, qua

druc

ycle

s, tr

icyc

les

1 2

33 3

85 8

46 2

51 1

78 1

99 1

30 8

6 6

6 3

374

2.93

%

LDV'

s, p

anel

van

s, o

ther

ligh

t loa

d ve

h's

GVM

<=

350

0kg

7 4

34 3

784

2 5

10 1

607

1 0

99 1

988

1 2

76 1

803

507

22

008

19.1

1%

Truc

ks (H

eavy

load

veh

icle

s GV

M >

35

00kg

) 1

015

439

205

184

119

373

144

192

44

2 7

152.

36%

Othe

r sel

f-pr

opel

led

vehi

cles

151

152

96

44

101

55

57

38

17

711

0.62

%

Tota

l sel

f-pr

opel

led

vehi

cles

45

428

17

864

17

453

7 8

53 5

162

7 9

32 5

452

6 0

32 1

975

115

151

% o

f tot

al

tow

ve

hicl

esPr

ovin

cial

% o

f tot

al39

.45%

15.5

1%15

.16%

6.82

%4.

48%

6.89

%4.

73%

5.24

%1.

72%

100.

00%

Cara

vans

338

54

108

61

92

99

79

37

26

894

17.9

8%

Ligh

t loa

d tr

aile

rs G

VM <

= 3

500k

g 1

070

253

548

186

169

273

161

153

81

2 8

9458

.19%

Heav

y lo

ad tr

aile

rs G

VM >

350

0kg

365

149

164

57

96

218

78

32

26

1 1

8523

.83%

Tota

l tra

ilers

1 7

73 4

56 8

20 3

04 3

57 5

90 3

18 2

22 1

33 4

973

Tota

l pro

vinc

ial %

of t

otal

35.6

5%9.

17%

16.4

9%6.

11%

7.18

%11

.86%

6.39

%4.

46%

2.67

%10

0.00

%

All o

ther

and

unk

now

n ve

hicl

es 1

2 9

6 9

9 1

0 1

3 4

6 7

8

Tota

l num

ber

47

213

18

329

18

279

8 1

66 5

528

8 5

32 5

783

6 2

58 2

114

120

202

Prov

inci

al %

of t

otal

39.2

8%15

.25%

15.2

1%6.

79%

4.60

%7.

10%

4.81

%5.

21%

1.76

%10

0.00

%

Sou

rce:

Dep

artm

ent

of T

rans

por

t


Table 2.7 shows the live vehicle population in South Africa was about 11,3 million units at the end

of 2014 calendar year. The total number of the monthly newly registered self-propelled vehicles

was 23,953 units (Table 2.8) and the used vehicles was 115,151 units (Table 2.9) as at 31 December

2014.

Table 2.10: Annual Number of Registered Motorised Vehicles, 2008 – 2014

Vehicle class 2008 2009 2010 2011 2012 2013 2014

Motorcars 5 275 541 5 411 093 5 596 491 5 654 104 6 110 660 6 376 733 6 620 891

Minibuses 279 976 282 941 285 992 286 155 285 859 289 078 293 758

Buses 42 893 45 217 47 342 47 658 51 687 54 494 56 814

Motorcycles 324 172 362 400 327 297 329 698 355 633 367 245 368 043

LDV's - Bakkies 1 897 078 1 946 292 2 000 915 2 017 827 2 152 779 2 228 559 2 303 113

Trucks 318 118 321 604 325 019 325 938 342 131 350 503 359 762

Other & Unknown 219 786 230 484 216 465 216 782 224 050 226 620 230 509

Total 8 357 564 8 600 031 8 799 521 8 878 162 9 522 799 9 893 232 10 232 890

% Annual Change 2.8% 2.9% 2.9% 0.9% 7.3% 3.9% 3.4%

Note: Motorcars ................ Motor cars and station wagons Buses ....................... Buses, bus trains, midibuses Motorcycles ............. Motorcycles, quadrucycles, tricycles LDV’s – Bakkies ....... LDV’s, panel vans, other light load veh’s GVM <= 3500kg Trucks ...................... Trucks (Heavy load vehicles GVM > 3500kg) Heavy Trailers ........... Heavy load trailers GVM > 3500kg Light Trailers............. Light load trailers GVM <= 3500kg


The number of registered motorised vehicles increased by about 3.4% to 10,2 million units in

2014 (Table 2.10).

Figure 2.9: Percentage change in Registered Motorised Vehicles, 2008 - 2014

8,0%

7,0%

6,0%

5,0%

4,0%

3,0%

2,0%

1,0%

0,0%2008 2009 2010 2011 2012 2013 2014

% Annual Change 2,8% 2,9% 2,9% 0,9% 7,3% 3,9% 3,4%



Table 2.11: Annual Live Motorised Vehicle Population by Province 2008 – 2014

Province2008 2009 2010 2011 2012 2013 2014

Motorised

Gauteng 3 220 050 3 309 076 3 427 619 3 560 678 3 703 542 3 854 594 3 983 261

KwaZulu-Natal 1 177 105 1 201 536 1 224 821 1 268 984 1 324 340 1 373 628 1 416 799

Western Cape 1 409 741 1 424 024 1 444 466 1 485 018 1 537 211 1 587 523 1 639 107

Eastern Cape 576 015 595 622 611 440 628 529 649 063 666 834 686 757

Free State 447 083 459 991 464 538 478 546 492 826 504 281 515 175

Mpumalanga 496 568 531 682 553 035 585 628 625 163 661 181 694 082

North West 459 311 471 298 442 723 457 286 475 431 491 922 506 049

Limpopo 395 122 423 428 443 570 474 225 507 533 536 770 565 829

Northern Cape 176 572 183 376 187 309 195 094 207 690 216 499 225 831

SOUTH AFRICA 8 357 567 8 600 033 8 799 521 9 133 988 9 522 799 9 893 232 10 232 890


Gauteng province had the largest share of 38.9% of live motorised vehicle population in 2014,

followed by Western Cape and Kwazulu-Natal with 16% and 13.9% respectively (Table 2.11).

Figure 2.10: Annual Live Motorised Vehicle Population by Province 2008 – 2014

Thou

sand

s

14 000

12 000

10 000

8 000

6 000

4 000

2 000

-2008 2009 2010 2011 2012 2013 2014

SOUTH AFRICA



Tab

le 2

.12:

Ag

e o

f M

oto

r Ve

hicl

e P

op

ulat

ion,

201

4

Live

Veh

icle

Ca

tego

ry

Ga

uten

gKw

azul

u Na

tal

Wes

tern

Ca

peEa

ster

n Ca

peFr

ee S

tate

Mpu

mal

anga

Nort

h W

est

Lim

popo

Nort

hern

Ca

peSo

uth

Afric

a

Num

ber o

f Veh

icle

s

Heav

y lo

ad

veh(

GVM

>35

00Kg

eq

uip

to d

raw

)

"Fro

m 0

to 3

"

2

5 19

2

1

1 89

3

7 93

1

2 91

1

5 45

2

1

0 84

8

3 84

7

3 88

6

2 16

5

7

4 12

5

"Fro

m 4

to 5

"

4 49

6

1 79

7

1 19

1

78

7

74

4

1 30

7

49

6

64

0

25

7

1

1 71

5

"Abo

ve 5

"

7

6 88

3

2

2 53

1

1

9 18

4

1

0 11

7

1

1 84

7

2

6 15

0

1

3 33

1

1

3 90

4

4 89

0

198

837

Heav

y lo

ad

veh(

GVM

>35

00Kg

, no

t to

draw

)

"Fro

m 0

to 3

"

2

5 09

6

6 32

7

4 18

3

3 64

3

3 48

7

9 22

0

2 93

4

2 84

3

1 37

6

5

9 10

9

"Fro

m 4

to 5

"

3 18

8

1 03

1

74

6

43

2

71

4

1 06

6

48

4

49

9

27

2

8 43

2

"Abo

ve 5

"

4

5 89

9

2

6 38

2

2

2 09

0

1

0 26

8

1

4 17

5

1

8 27

8

7 04

4

8 70

2

5 79

2

158

630

Heav

y pa

ssen

ger

mv

(12

or m

ore

pers

ons)

"Fro

m 0

to 3

"

2

2 20

1

1

0 34

9

6 86

8

5 80

0

2 74

4

7 51

7

4 63

2

6 64

0

1 49

3

6

8 24

4

"Fro

m 4

to 5

"

6 13

6

2 12

8

88

5

1 21

4

59

0

1 73

7

1 15

3

1 70

5

23

8

1

5 78

6

"Abo

ve 5

"

6

0 24

3

3

0 90

8

1

3 28

7

1

1 02

5

6 37

1

1

2 26

6

9 57

3

1

2 13

0

2 31

2

158

115

Ligh

t loa

d ve

hicl

e (G

VM 3

500K

g or

le

ss)

"Fro

m 0

to 3

"

257

161

9

6 00

9

8

3 76

8

4

7 36

6

3

5 85

2

5

3 47

5

3

6 60

5

4

4 82

7

2

0 14

1

675

204

"Fro

m 4

to 5

"

4

2 51

9

1

7 43

7

1

5 71

5

8 88

0

6 36

9

1

0 14

2

6 65

8

8 68

7

3 61

0

120

017

"Abo

ve 5

"

722

801

276

867

311

851

171

690

136

642

180

929

140

021

176

427

7

3 28

0 2

190

508

Ligh

t pas

seng

er

mv(

less

than

12

pers

ons)

"Fro

m 0

to 3

"

759

467

198

243

193

836

7

5 81

9

4

1 21

5

6

7 17

3

4

5 50

1

5

1 59

3

1

9 09

8 1

451

945

"Fro

m 4

to 5

"

107

685

3

4 09

9

3

8 81

5

1

5 15

2

9 74

6

1

4 35

7

1

0 22

8

1

0 20

4

4 20

4

244

490

"Abo

ve 5

" 1

803

772

589

430

819

070

288

078

222

299

267

633

208

693

202

221

8

6 14

0 4

487

336

Mot

orcy

cle

/ M

otor

tricy

cle

/ Qu

adru

cycl

e

"Fro

m 0

to 3

"

5

4 53

9

1

3 42

8

2

7 01

2

6 31

0

6 30

1

6 56

7

4 62

4

3 34

5

2 43

4

124

560

"Fro

m 4

to 5

"

8 42

3

1 93

0

4 87

4

1 35

7

1 22

9

1 18

7

82

9

59

5

51

6

2

0 94

0

"Abo

ve 5

"

7

4 35

5

1

7 44

9

4

6 61

4

1

4 62

3

1

2 26

1

1

1 63

5

8 68

8

5 93

2

4 97

7

196

534

Spec

ial V

ehic

le

"F

rom

0 to

3"

12

531

8

314

7

839

4

099

6

612

6

020

4

509

4

248

2

295

56

467

"Fro

m 4

to 5

"

2 57

6

1 56

1

1 42

0

62

1

1 56

3

1 32

4

1 11

2

92

1

40

3

1

1 50

1

"Abo

ve 5

"

5

5 65

0

2

8 31

9

4

1 44

4

1

5 11

3

3

6 78

7

3

0 62

7

2

6 71

1

1

6 93

0

8 79

5

260

376

Unkn

own

"F

rom

0 to

3"

254

410

309

401

342

354

405

113

157

2

745

"Fro

m 4

to 5

"

20

6

16

2

11

1

15

5

9

5

12

0

11

6

3

6

4

7

1 04

8

"Abo

ve 5

"

2 31

7

1 37

5

2 27

2

1 22

6

1 88

8

44

5

49

6

38

8

61

6

1

1 02

3

Sou

rce:

Dep

artm

ent

of T

rans

por

t


Figure 2.11: Age of Motor Vehicle Population 1 – 6, 2014

1. Heavy load veh(GVM>3500Kg equip to draw) 4. Light load vehicle (GVM 3500Kg or less)

2. Heavy load veh(GVM>3500Kg, not to draw) 5. Light passenger mv(less than 12 persons)

3. Heavy passenger mv (12 or more persons) 6. Motorcycle / Motortricycle / Quadrucycle



2.4 LICENSING INFORMATION

Table 2.13: Number of Learners Licences Issued, as at December 2014

Number of Learners Licenses Issued per Province

GP KZ WC EC FS MP NW LI NC RSA

Category 1 18 470 5 711 15 876 3 201 2 722 2 972 2 053 1 723 1 178 53 906

Category 2 84 473 46 255 88 789 34 230 17 136 10 162 11 876 6 973 6 472 306 366

Category 3 240 010 156 937 86 219 73 007 50 405 93 433 53 714 103 682 23 818 881 225

Total 342 953 208 903 190 884 110 438 70 263 106 567 67 643 112 378 31 468 1 241 497

Total 2013 380 989 203 797 179 902 106 768 69 027 102 866 65 074 110 931 30 824 1 250 178

Year on Year

Change-10.0% 2.5% 6.1% 3.4% 1.8% 3.6% 3.9% 1.3% 2.1% -0.7%

Note: Category 1: motorcycles. Category 2: vehicles (except motorcycles) with tare weight of 3 500 kilograms or less; minibuses, buses and goods vehicles with GVM of 3 500 kg or less; and articulated vehicles with GCM of 3 500 kg or less. Category 3: all vehicles (except motorcycles).

Note: GA=Gauteng, KZN=Kwazulu-Natal, WC=Western Cape, EC= Eastern Cape, FS=Free State, MP=Mpumalanga, LI=Limpopo, NC=Northern Cape


Table 2.13 provides a summary of learners licenses issued in 2014. There were about 1,2 million

learners licenses issued and mostly were of the category 3 (881,225 units) followed by those of

category 2 (306,366 units).

Figure 2.12: Number of Learners Licences Issued by Category, as at December 2014

Note: Category 1: motorcycles. Category 2: vehicles (except motorcycles) with tare weight of 3 500 kilograms or less; minibuses, buses and goods vehicles with GVM of 3 500 kg or less; and articulated vehicles with GCM of 3 500 kg or less. Category 3: all vehicles (except motorcycles).


GAUTENG KWAZULU NATAL WESTERN CAPE EASTERN CAPE FREE STATE MPUMALANGA NORTH WEST LIMPOPO NORTHERN CAPE

Category 1 Category 2 Category 3


Table 2.14: Number of Driving Licences Issued per Province by Category, as at December 2014

Number of Driving Licences Issued per Province

Category GA KZ WC EC FS MP NW LI NC RSA

A 169 714 58 660 103 716 33 166 25 847 22 274 19 367 14 264 9 231 456 239

A1 44 944 13 075 27 511 9 194 9 091 6 734 6 548 3 891 2 468 123 456

B 896 969 406 554 499 746 199 185 126 254 108 534 103 471 68 058 44 743 2 453 514

C 4 293 4 851 3 927 991 479 2 048 1 629 1 590 410 20 218

C1 996 957 476 161 168 621 147 971 128 495 314 252 163 460 449 651 53 015 2 898 583

EB 1 316 773 577 637 785 969 309 429 176 227 160 835 142 045 108 628 65 133 3 642 676

EC 286 100 155 529 114 721 66 599 75 681 96 157 52 285 85 273 24 235 956 580

EC1 229 283 70 226 50 809 45 798 35 528 52 199 37 307 64 574 11 382 597 106

Total 3 945 033 1 762 693 1 755 020 812 333 577 602 763 033 526 112 795 929 210 617 11 148 372

Total 2013

3 769 370 1 682 844 1 697 300 774 905 559 035 713 739 505 029 741 051 201 773 10 645 046

Year on Year

Change4.7% 4.7% 3.4% 4.8% 3.3% 6.9% 4.2% 7.4% 4.4% 4.7%

Note: Motorcycle (Code A1,A), Car (Code B, EB), Heavy vehicle (Code C, C1, EC, EC1)



Table 2.14 shows the total number of 11,1 million driver’s licences issued in South Africa in 2014,

and Gauteng accounted for the largest proportion of 35.4% (3,9 million) of driver’s license issued.

According to Figure 2.13, the leading categories it terms of driver’s license issued were EB (33%),

followed C1 (26%) and B (22%).

Figure 2.13: Driving Licences Issued by Category, as at 31 December 2014




Table 2.15: Annual Number of Driving Licences Issued per Category, 2008 – 2014

Year

Category 2008 2009 2010 2011 2012 2013 2014

A 403 989 413 768 423 023 429 872 437 914 446 772 456 239

A1 121 397 122 192 122 897 123 272 123 356 123 455 123 456

B 1 490 185 1 627 262 1 787 976 1 961 788 2 135 130 2 301 907 2 453 514

C 14 057 14 928 15 881 16 822 18 001 19 067 20 218

C1 1 335 125 1 536 412 1 773 858 2 022 779 2 296 011 2 586 914 2 898 583

EB 3 615 659 3 619 966 3 624 088 3 628 141 3 632 643 3 638 577 3 642 676

EC 870 199 876 629 885 165 896 723 910 885 929 236 956 580

EC1 607 107 605 771 604 466 603 055 601 225 599 118 597 106

Total 8 457 718 8 816 928 9 237 354 9 682 452 10 155 165 10 645 046 11 148 372

% Change 4.0% 4.2% 4.8% 4.8% 4.9% 4.8% 4.7%



The number of driving licences issued increased by 4.7% to 11,1 million units in 2014 from 10,6

million units in 2013 (Table 2.15).

Figure 2.14: Driving Licences Issued, 2008 – 2014


Thou

sand

s

12 000

10 000

8 000

6 000

4 000

2 000

02008 2009 2010 2011 2012 2013 2014

Licences 8 457 718 8 816 928 9 237 354 9 682 452 10 155 165 10 645 046 11 148 372


Table 2.16: Annual Number of Professional Driving Permits (PrDP’s) Issued, 2008-2014

Year

Category 2008 2009 2010 2011 2012 2013 2014

G 10 764 11 179 11 182 11 670 11 874 11 325 10 754

P 2 705 2 323 1 840 730 24

P G 634 542 730 133 789 771 842 316 899 584 926 624 952 970

D G 554 210 138 121 153 158 170

D P G 104 351 47 109 21 886 25 071 27 871 29 541 32 170

Total 752 916 790 954 824 817 879 908 939 506 967 648 996 064

% Change 8.0% 5.1% 4.3% 6.7% 6.8% 3.0% 2.9%

Note: G = Goods, P = Passengers, DG= Dangerous goods


The total annual number of professional driving permits (PrDP’s) issued grew by 2.9% to 996,064

units in 2014 from 967,648 units in 2013 (Table 2.16).

Figure 2.15: Annual Number of Professional Driving Permits (PrDP’s) Issued, 2008 – 2014


Thou

sand

s

1 200

1 000

800

600

400

200

02008 2009 2010 2011 2012 2013 2014

PrDPs 752 916 790 954 824 817 879 908 939 506 967 648 996 064


2.5 ROAD SAFETY

PART A: EASTER 2014Table 2.17 : Traffi c Volumes, 2013 – 2014

Route Site name 2013 2014 % Change

N1 Kranskop plaza 130 942 122 689 -6.3%

N1 Nyl plaza 72 708 72 170 -0.7%

N1 Huguenot plaza 71 850 68 056 -5.3%

N1 Verkeerdevlei 51 238 46 672 -8.9%

N2 Groot Brak 70 043 56 717 -19.0%

N4 Middlelburg 130 803 125 168 -4.3%

N3 De Hoek 110 943 102 452 -7.7%

N3 Wilge 98 427 87 109 -11.5%

N3 N3TC Harrismith WIM 108 797 95 851 -11.9%

N3 Van Reenen 109 823 98 948 -9.9%

N3 Mooi River 133 779 120 734 -9.8%

N3 Marianhill 103 733 94 948 -8.5%

Total 119 309 109 090 -8.6%

Source: Road Transport Management Corporation (RTMC)

The overall decrease in traffi c volumes on national routes during Easter holidays in 2014 was 8.6%

when compared with the same period in 2013. The highest percentage decrease was recorded on

the Groot Brak counting station on the N2 route with 19% decrease.

Figure 2.16: Percentage change in Traffi c Volumes, 2013 - 2014

0,0%

-2,0%

-4,0%

-6,0%

-8,0%

-10,0%

-12,0%

-14,0%

-16,0%

-18,0%

-20,0%

Kra

nsko

p P

laza

Nyl

Pla

za

Hug

ueno

t P

laza

Verk

eerd

evle

i

Gro

ot B

rak

Mid

del

bur

g

De

Hoe

k

Wilg

e

N3

TC H

arris

mith

W

IM

Van

Ree

nen

Moo

i Riv

er

Mar

ian

Hill

Percentage Change

-6,3% -0,7% -5,3% -8,9% -19,0% -4,3% -7,7% -11,5% -11,9% -9,9% -9,8% -8,5%



Table 2.18 Number of fatal crashes & fatalities, 2014

Incidents GA KZN WC EC FS MP NW LI NC RSA

Fatal Crashes 25 35 15 20 6 19 9 26 7 162

Fatalities 26 43 16 37 14 37 11 36 9 229

Severity of fatal crashes( Av no. fatalities/ crashes)

0.9 1.2 1.6 1.9 2.7 2 1.6 1.4 1.3 1.5



Table 2.18 shows the number fatal crashes and fatalities were 162 and 229 respectively during

Easter 2014, with the severity rate of 1.5 nationally.

Figure 2.17 Number of fatal crashes & fatalities, 2014



Table 2.19 below show the achievements made by the law enforcement offi cials to improve the

safety of our roads during the Easter period of 2014.

Table 2.19: Law Enforcement – National Achievement, Easter 2014

Achievements Total

Number of vehicles stopped and checked 283 323

Number of notices issued out 43 433

Number of vehicles discontinued 1 094

Number of vehicles impounded 1 457

Number of arrests for drunk and driving 330

Number of arrest for dangerous/negligent driving 10

Number of arrests for others 533

Warrants of arrests 112


454035302520151050

GA KZN WC EC FS MP NW LI NC

Fatal Crashes 25 35 15 20 6 19 9 26 7

Fatalities 26 43 16 37 14 37 11 36 9


PART B: FESTIVE SEASON - 1 Dec 2014 to 11 Jan 2015Table 2.20: Number of fatal crashes & fatalities, 2013/14 - 2014/15

Year GA KZN WC EC FS MP NW LI NC RSA

Fatal crashes

2013/14 252 258 122 179 133 127 81 142 41 1 335

2014/15 220 265 111 189 94 124 89 156 45 1 293

% Change -12.7% 2.7% -9.0% 5.6% -29.3% -2.4% 9.9% 9.9% 9.8% -3.1%


Fatalities

2013/14 291 309 139 245 166 161 112 198 55 1 677

2014/15 239 310 125 229 140 168 115 199 62 1 587

% Change -17.9% 0.3% -10.1% -6.5% -15.7% 4.3% 2.7% 0.5% 12.7% -5.4%


The Festive season for 2014 i.e. from 1 December 2014 to 11 January 2015, had 1,293 fatal crashes

and was responsible for 1,587 fatalities. Table 2.20 has also shown a percentage decrease in fatal

crashes and fatalities of 3.1% and 5.4% respectively from the previous year’s Festive season.

Figure 2.18: Percentage change in fatal crashes & fatalities, 2013/14 - 2014/15


Fatal Crashes Fatalities


Table 2.21: Percentage share of crashes per day of the week, Festive 2014

Day of the week % Contribution

Monday 12

Tuesday 11

Wednesday 11

Thursday 14

Friday 13

Saturday 22

Sunday 16

Total accidents 100


According to Table 2.21, most weekly crashes over the festive period occurs between Thursday

and Sunday. The highest percentage of crashes occurs on Saturdays with 22%, followed by

Sundays and Thursdays with 16% and 14% respectively.

Figure 2.19: Percentage share of crashes per day of the week, Festive 2014


Table 2.22: Percentage share of fatalities per road user group, Festive 2014

Road Users % Contribution

Passengers 38

Pedestrians 35

Drivers 25

Cyclists 2.1

Unknown 0.1

Total Fatalities 100


The largest percentage share of road fatalities recorded are the passengers (38%), followed by

pedestrians (35%) and drivers (25%).

MONDAY TUESDAY WEDNESDAY THURSDAY FRIDAY SATURDAY SUNDAY

1211 11

1413

22

16


Figure 2.20: Percentage share of fatalities per road user group, Festive 2014


Table 2.23: Percentage share of fatalities per Gender & Race, Festive 2014

Gender % Contribution

Males 73

Females 22

Unknown 6

Race % Contribution

Black African 81

White 5

Asian 1

Coloured 7

Other 4

Foreigner 2

Total 100


Table 2.23 show that males have the largest contribution in terms of road fatalities with 73% and

females only accounts for 22%.

According to race categories, 81% of the fatalities recorded are of the Black Africans.


Tab

le 2

.24:

Law

enf

orc

emen

t –

Nat

iona

l Ach

ieve

men

t, F

esti

ve 2

014

Act

ivit

ies

EC

FSG

PK

ZN

LIM

MP

(T

rans

po

rt)

MP

(T

raffi

c)

NC

NW

WC

NT

PTo

tal

Num

ber

of v

ehic

les

stop

ped

an

d c

heck

ed57

386

2 10

662

343

23 7

8919

3 93

71

140

64 0

0310

278

39 3

0913

8 70

121

529

614

521

Num

ber

of n

otic

es is

sued

out

6 82

675

619

371

4 82

327

439

-11

362

1 08

34

551

14 4

8540

191

097

Num

ber

of V

TS

Roa

dw

orth

ines

s O

ps

--

75-

1-

17-

1 89

622

-2

011

Num

ber

of v

ehic

les

dis

cont

inue

d12

359

012

033

820

258

1219

253

279

1 90

4

Num

ber

of v

ehic

les

imp

ound

ed10

611

654

9-

638

648

3816

9573

-2

279

Num

ber

of P

ublic

Tr

asp

orta

tion

Not

ices

issu

ed45

8834

223

252

673

-11

191

2 02

0-

3 53

7

Num

ber

of P

ublic

Tra

nsp

ort

Vehi

cle

Pre

Trip

Insp

ectio

n1

592

-25

19-

--

-26

26-

1 68

8

Num

ber

of R

oad

Saf

ety

Aw

aren

ess

and

Ed

u O

ps

12-

--

--

-3

-29

-44

Num

ber

of F

atig

ue

Man

agem

ent

Op

s10

--

--

--

--

5-

15

Num

ber

of K

78 R

oad

blo

cks

cond

ucte

d12

221

7378

982

8313

348

-73

0

Num

ber

of C

heck

poi

nts/

Vehi

cle

Che

ckp

oint

24-

2-

1 94

242

1035

1 02

854

1-

3 62

4

Num

ber

of s

pee

d M

onot

orin

g O

per

atio

ns c

ond

ucte

d43

06

283

261

1 26

9-

4259

728

133

-3

211

Hig

hest

sp

eed

rec

ord

ed/

arre

sts

for

high

sp

eed

134

-78

61

16-

1450

547

71-

1 61

9

Ped

estr

ian

Arr

este

d o

n Fr

ee

way

--

242

--

--

189

21

-1

136

Num

ber

of a

rres

t fo

r d

ange

rous

/neg

ligen

t d

rivin

g-

-26

-1

-1

6-

12-

46

Ove

rload

ing/

Arr

ests

5-

27-

450

514

62

99-

338

Num

ber

of a

rres

ts fo

r d

runk

en d

rivin

g17

511

312

181

-3

3421

256

6070

2

Sou

rce:

Roa

d T

rans

por

t M

anag

emen

t C

orp

orat

ion

(RTM

C)


PART C: CALENDAR YEAR 2014

Table 2.25: Number of unroadworthy vehicles, 2014

Vehicle Type Dec 2013 Dec 2014 % Change

Motorcars 243 306 246 910 1.5%

Minibuses 37 294 36 497 -2.1%

Buses 6 075 6 191 1.9%

Motorcycles 36 667 36 847 0.5%

LDV’s - Bakkies 78 412 81 185 3.5%

Trucks 49 627 50 425 1.6%

Caravans 3 710 3 839 3.5%

Heavy Trailers 19 169 19 839 3.5%

Light Trailers 19 676 21 266 8.1%

Unknown 14 659 15 777 7.6%

All Vehicles 508 595 518 776 2.0%


Figure 2.21: Number of unroadworthy vehicles, 2014


The number of unroadworthy vehicles grew by 2% in the year 2014 from 508,595 units in 2013

to 518,776 units in 2014. Minibuses are the only category which showed some improvement with

regards to unroadworthy vehicles with 2.1% decrease from the previous year (Table 2.25).


Table 2.26: Number of unlicensed vehicles, 2014

Vehicle Type Dec 2013 Dec 2014 % Change

Motorcars 217 387 245 430 12.9%

Minibuses 13 302 14 009 5.3%

Buses 1 289 1 303 1.1%

Motorcycles 23 489 26 163 11.4%

LDV’s - Bakkies 66 949 74 200 10.8%

Trucks 9 542 10 162 6.5%

Caravans 2 824 3 177 12.5%

Heavy Trailers 2 853 2 979 4.4%

Light Trailers 27 027 32 115 18.8%

Unknown 6 855 7 511 9.6%

All Vehicles 371 517 417 049 12.3%


Table 2.26 shows that the number of unlicensed vehicles increased by 12.3% to 417,049 units in

2014 from 371,517 units in 2013.

Figure 2.22: Number of unlicensed vehicles, 2014


Table 2.27: Number of fatal crashes & fatalities per province, 2013 – 2014


Fatal Crashes

2013 2 009 2 190 928 1 164 476 1 158 815 1 129 301 10 170

2014 2 136 2 129 994 1 205 650 1 033 802 1 087 331 10 367

% Change 6.3 -2.8 7.1 3.5 36.6 -10.8 -1.6 -3.7 10.0 1.9


Fatalities 2013 2 027 2 627 1 065 1 403 541 1 429 994 1 414 344 11 844

2014 2 469 2 641 1 186 1 415 874 1 336 993 1 370 419 12 702

% Change 21.8 0.5 11.4 0.9 61.6 -6.5 -0.1 -3.1 21.8 7.2



South African roads had 10,367 fatal crashes which resulted in 12,702 fatalities in the calendar

year 2014 (Table 2.27). The percentage increase in fatal crashes was 1.9% whereas that of fatalities

was 7.2% when compared 2013.

Figure 2.23: Number of fatal crashes & fatalities per province, 2014

Note: GA=Gauteng), KZN=Kwazulu-Natal, WC=Western Cape, EC= Eastern Cape, FS=Free State, MP=Mpumalanga, LI=Limpopo, NC=Northern Cape



Table 2.28: Monthly number of fatal crashes & fatalities, 2013 -2014

Fatal crashes Fatalities

Month 2013 2014 % Change 2013 2014 % Change

Jan 658 688 4.6% 763 900 18.0%

Feb 692 733 5.9% 753 843 12.0%

Mar 952 883 -7.2% 1 070 1 089 1.8%

Apr 848 786 -7.3% 988 998 1.0%

May 772 779 0.9% 882 949 7.6%

Jun 1 038 937 -9.7% 1 262 1 044 -17.3%

Jul 822 949 15.5% 960 1 196 24.6%

Aug 917 1 024 11.7% 1 079 1 307 21.1%

Sep 955 853 -10.7% 1 092 1 063 -2.7%

Oct 724 839 15.9% 826 1 030 24.7%

Nov 829 806 -2.8% 999 936 -6.3%

Dec 963 1 090 13.2% 1 170 1 346 15.0%

Total 10 170 10 367 1.9% 11 844 12 702 7.2%


The highest number of fatal crashes and fatalities were recorded in December 2014 with 1,090

and 12,702 respectively. The total number of fatalities increased by 7.2% to 12 702 in 2014.

Figure 2.24: Monthly number of fatal crashes & fatalities, 2014



Table 2.29: Number of fatalities per road user group & Severity of fatal crashes over 12 months period, 2013 - 2014

Year User Group GA KZN WC EC FS MP NW LI NC RSA

2013

Drivers 670 690 325 400 211 501 361 421 117 3 695

Passengers 465 830 273 479 191 564 348 621 154 3 924

Pedestrians 892 1 107 468 524 138 363 286 372 73 4 225

Total 2 027 2 627 1 065 1 403 541 1 429 994 1 414 344 11 844

2014

Drivers 875 620 360 412 329 434 348 451 153 3 983

Passengers 710 838 338 460 349 533 381 528 157 4 294

Pedestrians 884 1 182 488 543 195 369 264 391 108 4 425

Total 2 469 2 641 1 186 1 415 874 1 336 993 1 370 419 12 702

% Change

Drivers 30.6% -10.1% 10.8% 3.0% 55.9% -13.4% -3.6% 7.1% 30.8% 7.8%

Passengers 52.7% 1.0% 23.8% -4.0% 82.7% -5.5% 9.5% -15.0% 1.9% 9.4%

Pedestrians -0.9% 6.8% 4.3% 3.6% 41.3% 1.7% -7.7% 5.1% 47.9% 4.7%

Total 21.8% 0.5% 11.4% 0.9% 61.6% -6.5% -0.1% -3.1% 21.8% 7.2%

Severity of fatal crashes


2013 1.01 1.2 1.15 1.21 1.14 1.23 1.22 1.25 1.14 1.16

2014 1.16 1.24 1.19 1.17 1.34 1.29 1.24 1.26 1.26 1.23

% Change 14.6 3.4 3.9 -2.6 18.3 4.8 1.46 0.6 10.5 5.2


Figure 2.25: Fatalities per road user group over 12 months period, 2014

Drivers Passengers Pedestrians




Table 2.30: Crash Type nationally, 2014

Crash Types % contribution

Approach at angle 0.9

Crash with pedestrian 0.9

Crash with train 0.9

Fixed object 0.9

Head on 51.4

Head-rear end 5.5

Multiple vehicle crash 11

Sideswipe opp direction 6.4

Sideswipe same direction 1.8

Single vehicle overturned 18.3

T-Bone type crash 0.9


Table 2.30 shows the crash types occurred in South African roads, and the highest share was head on type with 51.4% followed single vehicle overturned type with 18.3%.

Table 2.31 indicates that 42.9% of the Vehicle factors causes crashes are of the tyre bursting, 30% of the road factor are due to wet or slippery road surface and 32.3% of the human causes are when drivers failing to keep control of the motor vehicle.

Table 2.31: Vehicle/Road/Human factors nationally, 2014

Vehicle Factor % contribution

Brakes: Faulty 4.8

Lights: Faulty, not switched on, etc 4.8

Overloading: Cargo/ Passengers 9.5

Tyres: Bursting 42.9

Tyres: Smooth 9.5

Unroadworthy vehicle 14.3

Vehicle maintenance poor/ inadequate 14.3

Road Factors % contribution

Animals: Stray/Wild 10.0

Poor condition of road surface 20.0

Road surface slippery/wet 30.0

Road works 20.0

Sharp bend 20.0

Human Factors % contribution

Disregard: red traffi c light/stop sign/yield sign 4.0

Drive in wrong lane 20.2

Driver fail to keep a proper lookout 3.0

Fail to keep vehicle under control 32.3

Fatigue/ Driver fell asleep 1.0

Intoxicated Driver 5.1

Overtook when unlawful/ unsafe 14.1

Speed too high for circumstances 16.2

Turn in front of oncoming traffi c 2.0

U-turn 2.0

SECTION 3MARITIME


Map

B: M

ajor

Por

ts o

f the

Rep

ublic

of S

outh

Afr

ica


3.1

CA

RG

O H

AN

DLE

D A

ND

VE

SS

ELS

’ AR

RIV

ALS

Tab

le 3

.1: B

ulk

Car

go

Han

dle

d (E

xpre

ssed

In M

etri

c To

ns),

2014

JA

NU

AR

Y -

D

EC

EM

BE

R 2

014

RIC

HA

RD

S

BA

YD

UR

BA

NE

AS

T

LON

DO

NN

GQ

UR

AP

OR

T

ELI

ZA

BE

TH

MO

SS

EL

BA

YC

AP

E T

OW

NS

ALD

AN

HA

TO

TAL

BU

LK C

AR

GO

HA

ND

LED

LAN

DE

D

IMP

OR

TS

4 84

1 07

628

058

875

241

354

-

437

122

1 02

3 31

41

856

305

7 29

3 28

943

751

335

CO

AS

TW

ISE

537

993

112

974

705

810

-

743

140

37 3

1949

6 00

2 -

2

633

239

TO

TAL

BU

LK

LAN

DE

D5

379

069

28 1

71 8

4994

7 16

4 -

1

180

262

1 06

0 63

32

352

307

7 29

3 28

946

384

574

SH

IPP

ED

EX

PO

RT

S85

511

030

7 61

4 98

5 -

-

6

126

233

113

696

181

907

56 0

78 3

8915

5 62

6 24

1

CO

AS

TW

ISE

-

1 61

1 87

2 -

-

-

66

2 14

148

9 76

521

4 74

42

978

523

TO

TAL

BU

LK

SH

IPP

ED

85 5

11 0

309

226

858

-

-

6 12

6 23

377

5 83

867

1 67

256

293

133

158

604

764

TR

AN

SH

IPM

EN

T

CA

RG

O-2

16 9

9915

9 10

8 -

-

-

-

35

821

-

-22

070

TO

TAL

BU

LK

HA

ND

LED

90 8

90 0

9937

557

815

947

164

-

7 30

6 49

51

836

471

3 02

3 97

963

586

422

204

967

268

Sou

rce:

Tra

nsne

t N

atio

nal P

orts

Aut

horit

y of

Sou

th A

fric

a (T

NPA

)


Tab

le 3

.2: B

reak

Bul

k C

arg

o H

and

led

(Exp

ress

ed In

Met

ric

Tons

), 20

14

JA

NU

AR

Y -

D

EC

EM

BE

R 2

014

RIC

HA

RD

S

BA

YD

UR

BA

NE

AS

T

LON

DO

NN

GQ

UR

AP

OR

T

ELI

ZA

BE

TH

MO

SS

EL

BA

YC

AP

E T

OW

NS

ALD

AN

HA

TO

TAL

BR

EA

KB

ULK

CA

RG

O H

AN

DLE

D

LAN

DE

D

IMP

OR

TS

89 7

884

528

492

385

751

64 9

8879

1 14

5 -

29

8 79

416

6 10

46

325

063

CO

AS

TW

ISE

20 0

1542

132

-

-

1 27

837

822

-3 8

74 -

97

373

TO

TAL

BR

EA

KB

ULK

LA

ND

ED

109

803

4 57

0 62

438

5 75

164

988

792

423

37 8

2229

4 92

016

6 10

46

422

436

SH

IPP

ED

EX

PO

RT

S3

672

232

2 69

9 10

731

1 19

77

608

615

-

146

273

938

581

8 37

6 01

2

CO

AS

TW

ISE

-

87 8

88 -

-

-

15

4 43

8 -

37

572

279

897

TO

TAL

BR

EA

KB

ULK

S

HIP

PE

D3

672

232

2 78

6 99

531

1 19

77

608

615

154

438

146

273

976

153

8 65

5 91

0

TR

AN

SH

IPM

EN

T

CA

RG

O1

459

313

622

-

-

300

-

37 0

57 -

35

2 43

7

TO

TAL

BR

EA

KB

ULK

H

AN

DLE

D3

783

495

7 67

1 24

169

6 94

864

996

1 40

1 33

819

2 26

047

8 24

91

142

257

15 4

30 7

83

Sou

rce:

Tra

nsne

t N

atio

nal P

orts

Aut

horit

y of

Sou

th A

fric

a (T

NPA

)


Tab

le 3

.3: T

ota

l Car

go

Han

dle

d (E

xpre

ssed

In M

etri

c To

ns),

2014

JAN

UA

RY

-

DE

CE

MB

ER

201

4R

ICH

AR

DS

B

AY

DU

RB

AN

EA

ST

LO

ND

ON

NG

QU

RA

PO

RT

E

LIZ

AB

ET

HM

OS

SE

L B

AY

CA

PE

TO

WN

SA

LDA

NH

AT

OTA

L

TO

TAL

CA

RG

O H

AN

DLE

D

LAN

DE

D

IMP

OR

TS

4 93

0 86

432

587

367

627

105

64 9

881

228

268

1 02

3 31

42

155

099

7 45

9 39

350

076

398

CO

AS

TW

ISE

558

008

155

106

705

810

-

744

418

75 1

4149

2 12

9 -

2

730

612

TO

TAL

CA

RG

O

LAN

DE

D5

488

872

32 7

42 4

741

332

915

64 9

881

972

686

1 09

8 45

52

647

227

7 45

9 39

352

807

010

SH

IPP

ED

EX

PO

RT

S89

183

262

10 3

14 0

9331

1 19

77

6 73

4 84

811

3 69

632

8 18

057

016

971

164

002

254

CO

AS

TW

ISE

-

1 69

9 76

0 -

-

-

81

6 57

948

9 76

525

2 31

53

258

420

TO

TAL

CA

RG

O

SH

IPP

ED

89

183

262

12 0

13 8

5331

1 19

77

6 73

4 84

893

0 27

681

7 94

557

269

286

167

260

673

TR

AN

SH

IPM

EN

T

CA

RG

O-2

15 5

4047

2 73

0 -

-

30

0 -

72

878

-

330

367

TO

TAL

CA

RG

O

HA

ND

LED

94 4

56 5

9545

229

056

1 64

4 11

264

996

8 70

7 83

32

028

731

3 53

8 05

064

728

679

220

398

051

Sou

rce:

Tra

nsne

t N

atio

nal P

orts

Aut

horit

y of

Sou

th A

fric

a (T

NPA

)


The total cargo handled by South African ports increased by 2.8% to 220 million metric tons in

2014, and Richards Bay had the largest percentage share of 42.9% (Table 3.3).

Figure 3.1: Total Bulk, Break-bulk and Cargo Handled 2014

Source: Transnet National Ports Authority of South Africa (TNPA)

Table 3.4 and Figure 3.2 below depicts the annual bulk handled at South African ports. The annual

bulk increased to approximately 204 million metric tons in 2014 with Richards Bay port continuing

to handle the largest proportion (44%) followed by Saldanha Bay and Durban ports with 31% and

18% respectively.

Table 3.4 Annual Bulk Handled (Metric Tons) in South African Ports, 2008 – 2014

2008 2009 2010 2011 2012 2013 2014

Ports

Richards Bay 80 364 844 73 482 547 81 025 177 81 747 520 84 862 542 90 566 016 90 890 099

Durban 35 104 303 32 777 526 35 404 043 36 966 511 35 985 750 36 906 610 37 557 815

East London 1 201 539 1 371 088 1 210 955 1 283 267 1 020 267 963 144 947 164

Ngqura - - 86 512 43 256 - - -

Port Elizabeth 4 517 673 3 855 104 5 216 816 5 696 791 6 389 563 6 810 068 7 306 495

Mossel Bay 1 926 364 1 697 636 1 805 521 1 892 405 2 273 289 2 264 542 1 836 471

Cape Town 2 865 621 2 610 232 3 221 499 3 321 851 3 824 515 3 257 815 3 023 979

Saldanha Bay 45 825 620 55 895 922 53 130 774 58 169 635 60 505 487 58 219 914 63 586 422

South Africa 171 805 964 171 690 055 181 101 297 189 121 236 194 861 413 199 236 582 204 967 268

% Change 2.3% -0.1% 5.5% 4.4% 3.0% 2.2% 2.9%



Figure 3.2: Annual Bulk Handled (Metric Tons) in South African Ports, 2014


Table 3.5: Annual Break Bulk Handled (Metric Tons) in South African Ports, 2008 – 2014

2008 2009 2010 2011 2012 2013 2014

Ports Metric Tons

Richards Bay

4 168 740 3 726 090 4 122 865 4 628 729 5 378 056 3 770 616 3 783 495

Durban 6 298 192 4 641 756 6 244 818 7 172 356 6 991 481 7 923 011 7 671 241

East London

780 959 425 481 537 897 567 240 755 049 662 587 696 948

Ngqura - 720 - 661 2 487 78 165 64 996

Port Elizabeth

909 421 750 465 1 473 217 1 762 251 1 422 322 1 529 946 1 401 338

Mossel Bay 69 127 50 222 28 747 30 271 20 737 57 681 192 260

Cape Town 339 473 448 369 452 370 356 910 281 622 419 647 478 249

Saldanha Bay

707 708 579 703 657 860 1 527 485 767 256 735 769 1 142 257

South Africa

13 273 620 10 622 806 13 517 774 16 045 903 15 619 010 15 177 422 15 430 783

% Change -13.8% -20.0% 27.3% 18.7% -2.7% -2.8% 1.7%


The total annual break bulk cargo handled in 2014 increased by 1.7% to 15.4 million metric tons

from 15,1 million metric tons in 2013 (Table 3.5).

Cape Town 2%

Mossel Bay 1%

Port Elizabeth 4%

Ngqura 0%East London 0%

Saldanha Bay31% Richards Bay

44%

Durban18%


Figure 3.3: Annual Break Bulk Handled in South African Ports, 2014


Table 3.6: Annual Cargo Handled (Metric Tons) in South African Ports, 2008 – 2014

2008 2009 2010 2011 2012 2013 2014

Ports Metric Tons

Richards Bay

84 533 584 77 631 154 85 148 042 86 376 249 90 240 598 94 505 105 94 456 595

Durban 41 402 495 37 419 282 41 648 861 44 138 867 42 977 231 44 829 622 45 229 056

East London

1 982 498 1 796 569 1 748 852 1 850 507 1 775 316 1 625 732 1 644 112

Ngqura - 720 86 512 43 917 2 487 78 165 64 996

Port Elizabeth

5 427 094 4 605 569 6 690 033 7 459 042 7 811 885 8 420 013 8 707 833

Mossel Bay 1 995 491 1 747 858 1 834 268 1 922 676 2 294 026 2 322 223 2 028 731

Cape Town 3 205 094 3 058 601 3 673 869 3 678 761 4 106 137 3 677 462 3 538 050

Saldanha Bay

46 533 328 56 475 625 53 788 634 59 697 120 61 272 743 58 955 683 64 728 679

South Africa

185 079 584 182 735 378 194 619 071 205 167 139 210 480 423 214 414 004 220 398 051

% Change 1.0% -1.3% 6.5% 5.4% 2.6% 1.9% 2.8%


Table 3.6 shows that the annual cargo handled at South Africa ports was up by 2.8% to about 220

million metric tons in 2014. Richards Bay port handled the largest proportion of 43% of the annual

cargo followed by Saldanha Bay and Durban ports with 29% and 20% respectively (Figure 3.4).


Figure 3.4: Annual Cargo Handled in South African Ports, 2014



Tab

le 3

.7: T

ota

l Car

go

(Met

ric

Tons

) Im

po

rted

and

Exp

ort

ed t

hro

ugh

So

uth

Afr

ican

Po

rts,

200

8-20

14

R

icha

rds

Bay

Dur

ban

Eas

t Lo

ndo

nN

gq

ura

Po

rt

Eliz

abet

hM

oss

el B

ayC

ape

Tow

nS

ald

anha

B

ayS

.A. P

ort

s%

Cha

nge

IMP

OR

TS

2008

6 12

3 24

230

504

820

494

146

-

567

064

705

466

1 74

1 21

711

301

049

51 4

37 0

0410

.3%

2009

4 67

3 17

727

477

754

1 13

3 45

972

01

447

154

720

122

1 71

5 21

99

729

814

46 8

97 4

19-8

.8%

2010

5 74

4 34

330

860

265

287

072

-

885

174

636

049

1 75

6 32

14

765

201

44 9

34 4

25-4

.2%

2011

5 79

2 36

132

042

546

1 20

8 34

959

92

031

545

812

108

2 19

4 38

54

883

355

48 9

65 2

489.

0%

2012

4 94

7 61

831

374

191

1 23

3 28

42

410

1 89

8 89

21

131

651

2 69

8 77

24

772

422

48 0

59 2

41-1

.9%

2013

5 61

1 24

132

690

285

1 22

7 40

076

953

2 10

5 31

41

392

666

2 54

2 66

14

835

291

50 4

81 8

115.

0%

2014

4 93

0 86

432

587

367

627

105

64 9

881

228

268

1 02

3 31

42

155

099

7 45

9 39

350

076

398

-0.8

%

EX

PO

RT

S

2008

78 0

08 6

328

597

519

625

582

-

3 97

0 36

416

8 42

237

2 99

632

785

311

124

528

826

2.4%

2009

72 9

57 1

329

693

491

663

110

-

3 15

8 35

21

027

736

1 22

3 48

437

308

157

126

031

462

1.2%

2010

78 9

67 5

648

437

391

459

041

-

4 94

6 42

214

9 04

259

8 00

348

036

218

141

593

681

12.3

%

2011

80 5

83 8

8812

096

321

642

158

43 3

185

427

497

1 11

0 56

81

484

376

54 8

13 7

6515

6 20

1 89

110

.3%

2012

85 2

92 9

8011

603

040

542

031

775

912

993

1 16

2 37

51

407

365

56 5

00 3

2116

2 42

1 18

34.

0%

2013

94 5

05 1

0544

829

622

1 62

5 73

278

165

8 42

0 01

32

322

223

3 67

7 46

258

955

683

214

414

004

32.0

%

2014

89 1

83 2

6210

314

093

311

197

76

734

848

113

696

328

180

57 0

16 9

7116

4 00

2 25

4-2

3.5%

Sou

rce:

Tra

nsne

t N

atio

nal P

orts

Aut

horit

y of

Sou

th A

fric

a (T

NPA

)


Table 3.7 shows that imports handled at the South African ports dropped by 0.8% to about 50.1

million tons in 2014 while exports handled dropped by 23.5% to approximately 164 million tons

in the same year.

Figure 3.5: Total Cargo (Metric Tons) Imported and Exported through South African Ports, 2008-2014


Thou

sand

s

250 000

200 000

150 000

100 000

50 000

02008 2009 2010 2011 2012 2013 2014

IMPORTS 51 437 004 46 897 419 44 934 425 48 965 248 48 059 241 50 481 811 50 076 398

EXPORTS 124 528 826 126 031 462 141 593 681 156 201 891 162 421 183 214 414 004 164 002 254


Tab

le 3

.8: T

ota

l Num

ber

of

Co

ntai

ners

Invo

iced

at

So

uth

Afr

ican

Po

rts

(in 6

M U

nits

TE

U’s

), 20

14

JANU

ARY

- DE

CEM

BER

2014

2013

LAN

DED

SHIP

PED

DEEP

SEA

COAS

TWIS

E TR

ANSH

IPPE

D TO

TAL

LAND

ED

DEEP

SEA

COAS

TWIS

E TR

ANSH

IPPE

D TO

TAL

SHIP

PED

GRAN

D TO

TAL

RIC

HARD

S BA

Y

FUL

L 45

20

282

734

13 2

560

5513

311

14 0

45

EM

PTY

9 29

354

7-9

9 83

116

60

147

313

10 1

44

TOT

AL

9 74

554

727

310

565

13 4

220

202

13 6

2424

189

DUR

BAN

FUL

L 1

003

137

4 46

614

7 43

61

155

039

684

342

12 8

0914

5 31

884

2 46

91

997

508

EM

PTY

129

307

2 49

543

063

174

865

430

120

18 5

5443

283

491

957

666

822

TOT

AL

1 13

2 44

46

961

190

499

1 32

9 90

41

114

462

31 3

6318

8 60

11

334

426

2 66

4 33

0

EAS

T LO

NDON

FUL

L 20

860

00

20 8

601

150

00

1 15

022

010

EM

PTY

440

044

19 8

8716

019

903

19 9

47

TOT

AL

20 9

040

020

904

21 0

3716

021

053

41 9

57

NGQ

URA

FUL

L 97

712

8512

9 40

522

7 20

210

1 16

816

116

050

217

234

444

436

EM

PTY

48 4

7453

973

731

122

744

74 4

0817

563

614

138

197

260

941

TOT

AL

146

186

624

203

136

349

946

175

576

191

179

664

355

431

705

377

POR

T EL

IZAB

ETH

FUL

L 41

319

1 76

546

108

89 1

9231

768

8851

097

82 9

5317

2 14

5

EM

PTY

40 3

0586

017

034

58 1

9911

597

471

17 5

0529

573

87 7

72

TOT

AL

81 6

242

625

63 1

4214

7 39

143

365

559

68 6

0211

2 52

625

9 91

7

CAP

E TO

WN

FUL

L 22

2 81

619

186

48 0

0429

0 00

625

2 12

92

293

50 2

7030

4 69

259

4 69

8

EM

PTY

114

325

11 3

4130

191

155

857

97 4

5112

052

32 4

9914

2 00

229

7 85

9

TOT

AL

337

141

30 5

2778

195

445

863

349

580

14 3

4582

769

446

694

892

557

SAL

DANH

A

FUL

L 91

00

911

00

192

EM

PTY

00

00

00

00

0

TOT

AL

910

091

10

01

92

TOT

AL

FUL

L 1

386

387

25 5

0237

1 23

51

783

124

1 08

3 81

415

206

362

790

1 46

1 81

03

244

934

EM

PTY

341

748

15 7

8216

4 01

052

1 54

063

3 62

931

268

157

048

821

945

1 34

3 48

5

TOT

AL

1 72

8 13

541

284

535

245

2 30

4 66

41

717

443

46 4

7451

9 83

82

283

755

4 58

8 41

9 N

ote:

The

TE

U m

easu

rem

ent

is d

eriv

ed fr

om a

20-

foot

6m

eq

uiva

lent

con

tain

er u

nit;

con

tain

ers

usua

lly h

ave

leng

ths

of 2

0 or

40

feet

- 6

or

12m

.

Sou

rce:

Tra

nsne

t N

atio

nal P

orts

Aut

horit

y of

Sou

th A

fric

a (T

NPA

)


The total number of containers invoiced at South Africa increased to about 4.5 million TEU in

2014 as shown by Tables 3.8 and 3.9. This represents a growth of approximately 6% compared

to 2013.

Table 3.9: Annual Number of Containers Invoiced at South African Ports (in 6M Units TEU’s), 2008-2014

2008 2009 2010 2011 2012 2013 2014

RICHARDS BAY

FULL 5 801 3 147 15 660 9 003 1 027 16 937 14 045

EMPTY 3 549 3 126 7 918 9 537 5 058 12 486 10 144

TOTAL 9 350 6 273 23 578 18 540 4 031 29 423 24 189

DURBAN FULL 1 976 920 1 790 784 1 993 950 1 875 814 1 969 083 2 008 661 1 997 508

EMPTY 665 245 604 391 559 442 789 154 617 803 623 852 666 822

TOTAL 2 642 165 2 395 175 2 553 392 2 511 380 2 586 886 2 632 513 2 664 330

EAST LONDON

FULL 27 177 21 135 28 109 277 158 27 709 24 939 22 010

EMPTY 30 241 19 151 24 847 24 114 24 364 21 652 19 947

TOTAL 57 418 40 286 52 956 54 546 52 073 46 591 41 957

NGQURA FULL - 52 578 204 745 300 751 375 045 506 640 444 436

EMPTY - 16 792 144 066 177 356 185 651 268 199 260 941

TOTAL - 69 370 348 811 472 203 560 696 774 839 705 377

PORT ELIZABETH

FULL 293 877 288 914 208 591 221 640 180 343 189 912 172 145

EMPTY 130 008 152 542 116 621 125 201 71 512 100 051 87 772

TOTAL 423 885 441 456 325 212 346 841 251 855 289 963 259 917

CAPE TOWN

FULL 536 326 964 335 493 673 477 511 576 390 625 803 594 698

EMPTY 231 175 417 717 214 853 231 232 277 009 294 833 297 859

TOTAL 767 501 1 382 052 708 526 698 087 853 399 920 636 892 557

SALDANHA FULL - - - - 129 136 92

EMPTY - - - - - - 0

TOTAL - - - - 129 136 92

TOTAL FULL 2 840 101 3 120 893 2 944 728 3 161 877 3 129 597 3 373 028 3 244 934

EMPTY 1 060 218 1 213 719 1 067 747 1 356 594 1 181 397 1 321 073 1 343 485

TOTAL 3 900 319 4 334 612 4 012 475 4 518 471 4 310 994 4 694 101 4 588 419

% Change 5% 11% -7% 13% 7% 4% 6%

Note: The TEU measurement is derived from a 20-foot 6m equivalent container unit; containers usually have lengths of 20 or 40 feet - 6 or 12m.



Figure 3.6: Number of Containers Invoiced at South African Ports, 2008 – 2014


Thou

sand

s

5 000

4 500

4 000

3 500

3 000

2 500

2 000

1 500

1 000

500

02008 2009 2010 2011 2012 2013 2014

Containers 3 900 319 4 334 612 4 012 475 4 518 471 4 310 994 4 694 101 4 588 419


Table 3.10: Total Number of Vessels Arrived at South African Ports, Jan to Dec 2013

RICHARDS BAY

DURBANEAST

LONDONNGQURA

PORT ELIZABETH

MOSSEL BAY

CAPE TOWN

SALDANHA BAY

TOTAL ALL PORTS

OCEAN GOING:

GENERAL CARGO

Breakbulk/Conv 4 10 1 - - - 9 1 25

General Cargo 181 436 2 23 28 1 205 35 911

All Purpose - - - - - - - - -

TOTAL GENERAL CARGO:

185 446 3 23 28 1 214 36 936

BULK

Bulk Dry 1 392 895 16 7 172 - 191 459 3 132

Bulk Liquid 99 496 10 1 26 61 109 31 833

TOTAL BULK: 1 491 1 391 26 8 198 61 300 490 3 965

CONTAINERS

Container Cellular - - - - - - - - -

Container Non-Cellular

38 1 109 2 477 224 - 798 2 2 650

Reefer 2 72 - - 23 - 81 1 179

TOTAL CONTAINERS:

40 1 181 2 477 247 - 879 3 2 829

TANKERS

Tanker - Oil - - - - - - - - -

Tanker - Chemical

27 70 1 - 1 9 13 - 121

Tanker - LPG 14 22 1 - 12 - 17 - 66

Tanker - Bitumen - - - - - - - - -

TOTAL TANKERS: 41 92 2 - 13 9 30 - 187

PASSENGER VESSELS

12 76 9 - 14 6 47 - 164

CAR / VEHICLE CARRIERS

2 377 85 - 155 - 3 - 622

RO-RO

Load On Roll Off 3 8 - - - - 2 - 13

Roll On Roll Off - 3 - - - - - - 3

TOTAL RO-RO VESSELS:

3 11 - - - - 2 - 16


RICHARDS BAY

DURBANEAST

LONDONNGQURA

PORT ELIZABETH

MOSSEL BAY

CAPE TOWN

SALDANHA BAY

TOTAL ALL PORTS

OTHER

Livestock - - 1 - - - - - 1

Unidentifi ed 21 31 - 1 - 3 13 3 72

TOTAL OTHER: 21 31 1 1 - 3 13 3 73

TOTAL OCEAN GOING

1 795 3 605 128 509 655 80 1 488 532 8 792

COASTERS:

Coaster (Bona Fide)

44 142 155 5 183 52 80 - 661

TOTAL COASTWISE:

44 142 155 5 183 52 80 - 661

FOREIGN FISHING VESSELS

16 75 - 1 5 9 420 7 533

SA.TRAWLERS 25 27 2 4 190 613 304 21 1 186

MISCELLANEOUS

Barge 11 3 - - - - 3 - 17

Cable Layer - - - - - - 5 - 5

Dredger 4 1 - 3 - - - - 8

Hopper - - - - - - - - -

Naval Vessels - 7 - - 2 - 21 - 30

Oi Rig - - - - - - 2 1 3

Search & Research

1 24 1 1 18 4 100 1 150

Tug 36 58 4 23 12 412 233 25 803

Yacht 2 3 1 - - - 25 - 31

Other 1 18 - 5 - 32 42 1 99

TOTAL MISCELLANEOUS:

55 114 6 32 32 448 431 28 1 146

TOTAL: 1 935 3 963 291 551 1 065 1 202 2 723 588 12 318



Table 3.10 indicates that the total number of vessels arrived in the South African ports in the

calendar year 2014 was 12,318 and which is 2.2% increase as compared to 2013 (Table 3.11).

Table 3.11: Annual Number of Vessel Arrivals at South African Ports, 2007-2013

2008 2009 2010 2011 2012 2013 2014

OCEAN GOING

Total General Cargo 1 388 1 309 1 193 1 079 970 954 936

Total Bulk 2 517 2 985 2 969 2 912 2 916 3 351 833

Total Containers 3 407 3 554 3 249 2 796 2 680 3 016 2 829

Total Tankers 1 161 1 225 979 839 769 558 187

Passenger Vessels 133 182 121 141 141 169 164

Car / Vehicle Carriers 518 474 503 526 568 394 622

Total Ro-Ro Vessels 92 25 - - - 241 16

Total Other 115 81 237 555 184 103 73

TOTAL OCEAN GOING 9 331 9 835 9 251 8 848 8 228 8 786 8 792

COASTERS

Total Coastwise 249 309 509 560 653 667 661

Foreign Fishing Vessels 797 612 508 559 586 590 533

S.A. Trawlers 1 703 1 458 1 069 1 300 756 1 043 1 186

Total Miscellaneous 804 860 810 712 844 968 1 146

TOTAL 12 884 13 074 12 147 11 979 11 067 12 054 12 318

Percentage Change -2.0% 1.5% -7.1% -1.4% -7.6% 8.9% 2.2%


Figure 3.7: Annual Number of Vessel Arrivals at South African Ports, 2008-2014


13 500

13 000

12 500

12 000

11 500

11 000

10 500

10 0002008 2009 2010 2011 2012 2013 2014

Vessels 12 884 13 074 12 147 11 979 11 067 12 054 12 318

SECTION 4AVIATION


Map

C: A

irpor

ts o

f the

Rep

ublic

of S

outh

Afr

ica


4.1

AIR

CR

AFT

RE

GIS

TR

AT

ION

AN

D L

ICE

NS

ING

Tab

le 4

.1: N

umb

er o

f P

ilot

and

Oth

er L

icen

ces

Issu

ed b

y G

end

er, 2

008

– 20

14

Cat

ego

ry20

0820

0920

1020

1120

1220

1320

14

Mal

eFe

mal

eM

ale

Fem

ale

Mal

eFe

mal

eM

ale

Fem

ale

Mal

eFe

mal

eM

ale

Fem

ale

Mal

eFe

mal

e

Aer

op

lane

Lic

ense

Pri

vate

Pilo

t86

373

541

5642

856

525

6955

569

742

106

598

78

Co

mm

erci

al P

ilot

483

4652

549

583

6354

458

528

5360

040

490

64

Air

line

Tran

spo

rt P

ilot

211

1625

828

182

2315

714

183

1415

56

136

12

Tota

l1

557

135

1 32

413

31

193

142

1 22

614

11

266

136

1 49

715

21

224

154

Hel

ico

pte

r Li

cens

e

Pri

vate

Pilo

t20

730

186

1510

615

123

1092

1312

311

374

11

Co

mm

erci

al P

ilot

9914

111

713

013

9015

7211

828

7316

Air

line

Tran

spo

rt P

ilot

25-

433

213

152

281

242

102

Tota

l33

144

340

2525

731

228

2719

225

229

2145

729

Oth

er L

icen

ses

Stu

den

t P

ilot

1 75

820

983

010

459

991

741

118

754

113

1 18

816

476

215

4

Cab

in C

rew

112

467

162

657

189

638

189

794

212

914

162

832

199

812

Mic

ro li

ght

Pilo

t19

26

--

--

--

--

--

Ho

t A

ir B

allo

on

Pilo

t4

-7

14

-3

-2

-1

-3

-

Gyr

op

lane

Pilo

t36

110

--

--

--

--

-

Mai

nten

ance

Eng

inee

rs18

24

134

414

9-

138

211

84

163

812

63

Flig

ht E

ngin

eers

--

1-

5-

6-

2-

2-

3-

Valid

atio

ns24

644

224

3021

632

234

2726

453

230

2922

517

Tota

l2

530

731

1 36

879

61

157

761

1 30

594

11

352

1 08

41

746

1 03

31

318

986

Gra

nd T

ota

l3

261

2 16

41

918

2 24

62

436

2 77

92

304

Per

cent

age

Cha

nge

19.9

-33.

6-1

1.4

17.1

8.5

14.1

-17.

1

Sou

rce:

Sou

th A

fric

an C

ivil

Avi

atio

n A

utho

rity

(SA

CA

A)


Table 4.1 depicts the number of pilot and related licences issued. They decreased by 17% to

2,304 in 2014. Males accounted for 55.5% of the total licenses issued in 2014 (Figure 4.1).

Figure 4.1: Number Pilot and Other Licences issued by Gender, 2008 – 2014

Source: South African Civil Aviation Authority (SACAA)


Table 4.2: Number of Civil Registered Aircrafts, 2008 – 2014

Years 2008 2009 2010 2011 2012 2013 2014

Aeroplanes and Helicopters

Aeroplane - 1 piston engine 2 666 2 718 2 770 2 808 2 851 2 898 2 894

Aeroplane - 2 piston engines 755 749 713 710 707 711 716



Agricultural piston engine 153 154 154 152 153 154 157

Aeroplane – 1 turbo prop engine 108 130 111 112 112 115 120

Aeroplane – 2 turbo prop engines 324 332 354 353 349 341 351

Aeroplane – 4 turbo prop engines 10 9 9 9 8 7 8

Agricultural turbo prop engine 55 54 55 54 54 55 60

Aeroplane – 1 turbo jet engine 26 8 37 39 40 45 45

Aeroplane – 2 turbo jet engines 298 324 344 365 377 381 395

Aeroplane – 3 turbo jet engines 18 15 15 16 18 18 18

Aeroplane - 4 turbo jet engines 48 51 56 54 47 43 40

Helicopter – piston engine 573 606 638 669 671 680 687

Helicopter – 1-turbine engine 349 384 394 375 408 428 436

Helicopter – 2-turbine engines 83 81 79 83 92 92 101

Helicopter – 3-turbine engines 1 1 1 1 1 3 3

Total 5 474 5 623 5 738 5 809 5 898 5 983 6 059

Percentage Change 4.3% 2.7% 2.0% 1.2% 1.5% 1.4% 1.3%


The number of civil registered aircrafts increased by 1.3% to 6,059 in 2014 from 5,983 in 2013.


Figure 4.2: Annual Number of Civil Registered Aircrafts, 2007 – 2013


Table 4.3: Number of Sports and Recreational / NTCA Registered Aircrafts, 2008 – 2014

Years 2008 2009 2010 2011 2012 2013 2014

Glider 340 346 352 361 372 387 392

Glider motorised 174 180 185 189 188 190 187

Amateur built aeroplane, I engine 1 188 1 251 1 308 1 345 1 407 1 462 1 530

Amateur built aeroplane, 2 engines 47 51 63 64 66 67 67

NTCA-Production Built- 1 Engine 724 766 799 852 878 897

Amateur built helicopter 75 82 85 86 87 91 93

Amateur built gyrocopter 181 180 188 190 191 198 200

Amateur built Micro-light 2 060 2 089 2 123 2 144 2 172 2 169 2 177

Amateur built gyro glider 9 9 9 8 11 19 18

Amateur built fi xed wing – Turbojet 2 2 2 2 2 2 2

Research aircraft 4 4 4 4 4 4 4

Limited aircraft 163 171 174 178 183 184 186

Hot air balloon 120 125 126 129 132 132 132

Airship 1 1 1 1 1 1 1

Veteran single engine 130 133 143 151 154 155 162

Veteran twin engine - - -

Para-planes 14 14 14 14 14 14 14

Total 4 508 5 362 5 543 5 665 5 836 5 953 6 062

Percentage Change 4.2% 18.9% 3.4% 2.2% 3.0% 2.0% 1.8%


Table 4.3 shows that the number of sports and recreational aircrafts increased by 1.8% in 2014

to 6,062 from 5,953 in 2013.

6 200

6 100

6 000

5 900

5 800

5 700

5 600

5 500

5 400

5 300

5 200

5 1002008 2009 2010 2011 2012 2013 2014

Civil Registered Aircrafts 5 474 5 623 5 738 5 809 5 898 5 983 6 059


Figure 4.3: Annual Number of Sports and Recreational / NTCA Registered Aircrafts, 2007- 2013


7 000

6 000

5 000

4 000

3 000

2 000

1 000

02008 2009 2010 2011 2012 2013 2014

Sports and Recreational / NTCA Registered Aircrafts

4 508 5 362 5 543 5 665 5 836 5 953 6 062


4.2 AIR TRAFFIC INFORMATION

Table 4.4: Passenger Volumes by Airport, 2008 – 2014

Airport Year

2008 2009 2010 2011 2012 2013 2014

Bloemfontein 411 683 400 814 403 800 437 996 426 672 380 284 367 635

Cape Town 8 077 435 7 723 975 8 107 648 8 436 191 8 505 563 8 348 854 8 636 294

Durban 4 458 715 4 304 729 4 757 800 5 038 231 4 747 224 4 504 929 4 495 974

East London 715 206 675 980 671 895 681 741 663 206 658 363 1 285 074

George 630 385 548 498 527 633 527 633 555 378 560 432 597 637

Kimberley 155 615 130 644 132 756 135 939 153 126 152 667 163 138

OR Tambo 18 501 628 17 444 503 18 383 549 18 922 346 18 681 458 18 792 857 19 031 907

Pilanesberg 8 920 5 869 8 123 2 651 - - -

Port Elizabeth 1 465 429 1 342 861 1 408 754 1 368 334 1 317 698 1 269 634 1 285 074

Upington 50 220 42 522 45 390 51 982 55 319 62 510 72 636

Total 34 475 236 32 620 395 34 447 348 35 603 044 35 105 644 34 730 530 35 935 369

Percentage Change -4.2% -5.4% 5.6% 3.4% -1.4% -1.1% 3.5%

Source: Airports Company of South Africa (ACSA)

Table 4.4 shows that passenger volumes at ACSA airports decreased by 1.1% to 34.7 million in

2013 from 35.1 million in 2012.

Figure 4.4: Annual Number of Passenger Volumes, 2007 – 2013



Table 4.5: Aircraft Movements by Airport, 2008 – 2014

AirportYear

2008 2009 2010 2011 2012 2013 2014

Bloemfontein 27 035 22 896 18 476 20 144 18 339 14 533 16 200

Cape Town 78 030 93 230 93 607 96 575 91 486 87 388 90 458

Durban 53 562 52 394 54 587 54 940 50 853 49 341 49 761

East London 23 826 35 135 39 557 34 111 29 624 31 136 31 588

George 9 635 42 439 35 352 32 843 37 623 41 672 52 986

Kimberley 12 646 12 106 12 415 12 516 11 949 10 369 12 309

OR Tambo 225 984 203 210 210 686 212 132 203 007 202 750 216 392

Pilanesberg 4 277 3 934 4 023 2 900 - - -

Port Elizabeth 36 425 76 869 74 074 68 387 63 289 67 777 61 938

Upington 5 167 6 706 6 632 7 992 8 161 9 136 9 494

Total 476 587 548 919 549 409 542 540 514 331 514 102 541 126

Percentage Change

5.2% 15.2% 0.1% -1.3% -5.2% 0.0% 5.3%


The aircraft movements grew by 5.3% to 541,126 units in 2014 from 514,331 units in 2013, and

also In 2014 OR Tambo had the highest proportion of 40% of the aircraft movements in the South

African airports followed Cape Town and Port Elizabeth with 17% and 11% respectively.

Figure 4.5: Aircraft Movements by Airport, 2014



4.3 AIRCRAFT ACCIDENTS AND INCIDENTS

Table 4.6: Aircraft Accidents and Incidents, 2013 – 2014

Accidents

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Total

150

Actual 2013 15 12 10 11 11 10 13 11 13 8 14 13 141

Actual 2014 17 14 11 11 10 7 6 14 10 4 8 17 129

Fatal Accidents


19

Actual 2013 3 1 1 5 1 3 1 1 1 2 2 1 22

Actual 2014 6 3 1 2 1 0 0 0 5 1 0 2 21

Fatalities


33

Actual 2013 5 1 2 9 1 5 2 2 2 2 2 2 35

Actual 2014 6 5 3 3 2 0 0 0 8 1 0 3 31

Serious Incidents


Actual 2013 0 6 6 4 5 6 3 7 9 6 7 8 67

Actual 2014 4 4 3 7 10 6 7 5 9 4 9 5 73


Table 4.6 shows the the total number of fatal accidents was 21 in 2014 which contributed to 31

fatalities.

Table 4.7: Aircraft Accidents and Incidents, 2008 – 2014

Type 2008 2009 2010 2011 2012 2013 2014

Accidents 190 127 147 92 120 141 129

Fatal Accidents 33 16 15 16 18 22 21

Fatalities 92 28 24 39 29 35 31

Serious Incidents 40 19 51 59 75 67 73


Table 4.7 and Figure 4.6 shows that there is a general decrease in aircraft accidents and fatalities

between 2013 and 2014, however the serious incidents increased by 9% to 73 during the same

period.


Figure 4.6: Annual Number of Aircraft Fatal Accidents and Fatalities, 2008 – 2014


SECTION 5RAIL


MA

P D

: Rep

ublic

of S

outh

Afr

ica

Rai

lway

Net

wor

k


5.1

R

AIL

PA

SS

EN

GE

R IN

FOR

MA

TIO

N

Tab

le 5

.1: M

etro

rail

Rai

l Pas

seng

ers

by

Reg

ion,

201

3 –

2014

2013

Janu

ary

Febr

uary

Mar

chAp

rilM

ayJu

neJu

lyAu

gust

Sept

embe

rOc

tobe

rNo

vem

ber

Dece

mbe

r

Wes

tern

Cap

e14

324

794

16 6

10 2

4716

636

536

16 3

15 1

9817

366

773

13 7

45 2

6815

382

009

17 0

86 4

1715

815

319

17 8

38 2

0716

286

364

12 4

17 5

63

East

ern

Cape

724

089

870

476

857

593

774

123

920

045

734

123

738

407

860

466

760

018

871

264

772

040

503

302

Wits

15 3

77 5

1617

161

085

16 9

15 8

2815

946

141

16 4

70 7

0614

443

361

15 4

88 6

8517

441

867

16 5

18 4

5418

006

805

16 4

80 0

3111

196

058

Tshw

ane

6 14

6 92

46

361

530

6 47

9 23

85

886

828

6 33

3 29

75

305

079

5 75

5 75

16

338

023

6 20

4 61

66

870

007

6 35

5 02

24

406

597

Kwaz

ulu-

Nata

l6

162

690

6 88

7 52

27

104

735

6 70

2 46

07

121

843

6 48

9 23

76

490

847

7 20

4 29

86

622

370

7 28

0 29

56

629

510

5 22

0 65

9

Met

rora

il To

tal

42 7

36 0

1347

890

860

47 9

93 9

3045

624

750

48 2

12 6

6440

717

068

43 8

55 6

9948

931

071

45 9

20 7

7750

866

578

46 5

22 9

6733

744

179

Mon

thly

Av

erag

e45

251

380

2014

Janu

ary

Febr

uary

Mar

chAp

rilM

ayJu

neJu

lyAu

gust

Sept

embe

rOc

tobe

rNo

vem

ber

Dece

mbe

r

Wes

tern

Cap

e14

324

794

16 6

10 2

4716

636

536

15 4

79 7

6315

556

094

14 3

77 8

1014

590

945

14 3

19 1

3014

974

448

16 1

76 0

7514

947

865

11 4

91 2

46

East

ern

Cape

724

089

870

476

857

593

791

020

842

856

774

481

781

006

838

157

833

480

841

020

774

931

530

888

Wits

15 3

77 5

1617

161

085

16 9

15 8

2815

845

782

16 3

61 8

2915

659

348

14 9

62 7

8915

635

627

16 0

41 1

4216

853

961

15 5

80 4

4610

414

303

Tshw

ane

6 14

6 92

46

361

530

6 47

9 23

86

236

133

6 44

5 90

96

157

555

6 29

2 78

86

221

649

6 19

1 03

36

607

612

6 03

0 10

14

159

655

Kwaz

ulu-

Nata

l6

162

690

6 88

7 52

27

104

735

6 46

7 41

66

477

743

6 35

9 96

16

579

845

6 75

5 00

46

843

137

7 26

9 10

46

790

031

5 43

6 49

0

Met

rora

il To

tal

42 7

36 0

1347

890

860

47 9

93 9

3044

820

114

45 6

84 4

3143

329

155

43 2

07 3

7343

769

567

44 8

83 2

4047

747

772

44 1

23 3

7432

032

582

Mon

thly

Av

erag

e44

018

201

Not

e: fi

gure

s re

ceiv

ed in

fi na

ncia

l yea

rs a

nd r

e-ca

lcul

ated

for

cale

ndar

yea

rs.

Sou

rce:

Pas

seng

er R

ail A

genc

y of

Sou

th A

fric

a (P

RA

SA

)


Figure 5.1: Metrorail Rail Passenger Volumes, 2011/12 – 2013/14

Source: Passenger Rail Agency of South Africa (PRASA)

Table 5.1 and Figure 5.1 shows the Metrorail passenger volumes from the calendar year 2012

to 2014. The average Metrorail passenger volume per month for the calendar year 2014 was

approximately 44 million passengers.

60 000

50 000

40 000

30 000

20 000

10 000

-

Janu

ary

Febru

ary

Marc

hApril

May

June Ju

ly

Augus

t

Septem

ber

October

November

Decem

ber

2013 20143

Thou

sand

s


Tab

le 5

.2: P

asse

nger

Kilo

met

res

Trav

elle

d b

y R

egio

n, 2

013

– 20

14

2013

‘tho

usan

dsJa

nuar

yFe

brua

ryM

arch

April

May

June

July

Augu

stSe

ptem

ber

Octo

ber

Nove

mbe

rDe

cem

ber

Wes

tern

Cap

e32

9 92

339

8 53

741

3 37

839

7 31

642

3 68

133

0 16

937

4 76

041

6 02

638

5 78

843

5 01

639

8 23

130

4 77

8

East

ern

Cape

17 4

0420

344

19 8

1318

913

22 2

2918

040

18 1

8221

048

18 6

3721

268

19 1

3712

695

Wits

390

025

447

116

444

817

431

070

445

946

398

224

423

767

477

116

455

369

495

501

458

156

315

975

Tshw

ane

156

718

174

811

177

940

176

764

191

411

162

470

175

506

192

175

190

895

211

116

196

983

138

638

Kwaz

ulu-

Nata

l14

0 26

715

7 27

816

2 37

215

9 10

916

7 63

015

4 22

715

6 17

317

1 16

315

8 84

917

3 00

415

8 67

512

8 02

4

Met

rora

il To

tal

1 03

4 33

71

198

087

1 21

8 31

91

183

173

1 25

0 89

71

063

131

1 14

8 38

81

277

528

1 20

9 53

81

335

905

1 23

1 18

290

0 10

9

2014

‘thou

sand

sJa

nuar

yFe

brua

ryM

arch

April

May

June

July

Augu

stSe

ptem

ber

Octo

ber

Nove

mbe

rDe

cem

ber

Wes

tern

Cap

e34

9 40

440

6 80

540

8 67

038

0 66

238

0 60

835

1 18

135

6 39

834

4 18

536

1 31

639

2 38

936

3 14

428

0 26

9

East

ern

Cape

17 8

4921

309

21 2

4219

628

21 0

7419

562

19 6

5420

941

20 7

3721

191

19 4

9513

436

Wits

429

532

474

987

470

982

442

954

456

009

437

258

419

193

434

535

445

020

470

947

435

676

294

270

Tshw

ane

191

009

194

314

201

181

194

651

200

843

193

392

197

237

194

192

193

990

206

775

190

443

133

915

Kwaz

ulu-

Nata

l14

8 21

316

4 12

317

0 42

515

5 50

115

4 85

515

2 36

515

9 90

816

2 10

216

4 37

517

5 48

216

4 12

213

4 28

4

Met

rora

il To

tal

1 13

6 00

51

261

537

1 27

2 50

038

0 66

238

0 60

835

1 18

135

6 39

834

4 18

536

1 31

639

2 38

936

3 14

485

6 17

4

Not

e: fi

gure

s re

ceiv

ed in

fi na

ncia

l yea

rs a

nd r

e-ca

lcul

ated

for

cale

ndar

yea

rs.

Sou

rce:

Pas

seng

er R

ail A

genc

y of

Sou

th A

fric

a (P

RA

SA

)


Figure 5.2: Annual Percentage Change on Passenger Kilometres Travelled by Region, 2007/08 to 2013/14.


The passenger kilometres travelled from April to November 2014 were lower as compared to the

preceding years (Figure 5.2).

Western Cape region passenger kilometres travelled decreased by 5% in 2014, and all other

regions showed an increase with Wits and Eastern Cape region recording highest increases of

6.8% and 3.7% respectively (Table 5.3).

Table 5.3: Monthly percentage change from previous year in Passenger Kilometres Travelled by Region, 2014

2014 Western cape Eastern cape Wits Tshwane Kwazulu-Natal

January 5.9% 2.6% 10.1% 21.9% 5.7%

February 2.1% 4.7% 6.2% 11.2% 4.4%

March -1.1% 7.2% 5.9% 13.1% 5.0%

April -4.2% 3.8% 2.8% 10.1% -2.3%

May -10.2% -5.2% 2.3% 4.9% -7.6%

June 6.4% 8.4% 9.8% 19.0% -1.2%

July -4.9% 8.1% -1.1% 12.4% 2.4%

August -17.3% -0.5% -8.9% 1.0% -5.3%

September -6.3% 11.3% -2.3% 1.6% 3.5%

October -9.8% -0.4% -5.0% -2.1% 1.4%

November -8.8% 1.9% -4.9% -3.3% 3.4%

December -8.0% 5.8% -6.9% -3.4% 4.9%

Total -5.0% 3.7% 0.5% 6.8% 1.0%

Note: fi gures received in fi nancial years and re-calculated for calendar years.


1 600

1 400

1 200

1 000

800

600

400

200

-

Janu

ary

Febru

ary

Marc

hApril

May

June Ju

ly

Augus

t

Septem

ber

October

November

Decem

ber

2013 20143

Thou

sand

s


5.2 RAIL PERFORMANCE

Table 5.4: Number of Trains ran, 2013 – 2014

Region 2013 2014

Western cape 198 910 200 657

Eastern cape 9 890 10 489

Wits 238 168 242 561

Tshwane 98 125 97 047

Kwazulu-Natal 132 603 126 326

Metrorail Total 677 696 676 847

% Change 4.7% -0.1%

Note: fi gures received in fi nancial years and re-calculated for calendar years.


Table 5.4 shows that the number of trains ran dropped slightly by 0.1% in 2014 to 676,847 units

from 677,696 in 2013.

Figure 5.3: Number of Trains ran (thousand), 2013 - 2014



Table 5.5: Average Percentage of Trains on Time, 2013 - 2014

Region 2013 2014

Western cape 82.48% 74.67%

Eastern cape 94.26% 91.21%

Wits 83.94% 84.46%

Tshwane 81.76% 86.33%

Kwazulu-Natal 81.07% 73.24%

Metrorail Total 82.85% 81.86%

Note: fi gures received in fi nancial years and re-calculated for calendar years


Table 5.6: Average Percentage of Trains Delayed, 2013 – 2014

Region 2013 2014



Wits 16.06% 15.54%

Tshwane 18.24% 13.67%





Table 5.7: Average Percentage of Trains Cancelled, 2013 - 2014

Region 2013 2014



Wits 4.25% 3.62%

Tshwane 9.63% 6.45%






The period between 2013 and 2014 at least more that 81% of trains were on time at national level

(Table 5.5). In 2014 about 18% of trains were delayed (Table 5.6) and 3% were cancelled (Table

5.7).

The total number of accidents recorded in the passenger rail operations dropped to 42 units in

2014 from 48 units in 2013 and Gauteng accounted for the highest number of accidents (16) as

indicated in Table 5.8.

Table 5.8: Accidents in Passenger Rail Operations, 2010 – 2014

Region 2010 2011 2012 2013 2014

Western Cape 7 6 10 6 10

Eastern Cape 1 0 2 2 1

KwaZulu Natal 10 9 7 8 9

Gauteng 22 17 20 20 16

Smeyl 7 12 6

Total 40 19 46 48 42



Figure 5.4: Accidents in Passenger Rail Operations, 2010 – 2014

Accidents



5.3

G

AU

TR

AIN

STA

TIS

TIC

S

Tab

le 5

.9: G

autr

ain

Pas

seng

er F

low

s 20

14

2014

Jan

Feb

Mar

Apr

May

Jun

Jul

Aug

Sep

Oct

Nov

Dec

Tota

l

Trai

n To

tal

1 13

2 00

71

275

433

1 36

1 47

71

216

843

1 26

8 51

61

214

603

1 34

7 13

11

284

603

1 26

7 78

71

352

078

1 21

2 89

51

005

855

14 9

39 2

28

Gene

ral

2014

Jan

Feb

Mar

Apr

May

Jun

Jul

Aug

Sep

Oct

Nov

Dec

Tota

l

Gene

ral P

ax1

005

266

1 13

9 16

91

206

423

1 07

1 31

01

127

786

1 06

8 82

31

198

296

1 13

8 59

81

118

808

1 19

3 32

11

056

298

865

809

13 1

89 9

07

Aver

age

Wee

kday

43 7

0151

755

52 2

8249

266

49 3

5547

341

47 2

5548

179

47 9

2047

594

47 0

0137

080

Aver

age

Wee

kend

8 75

613

008

14 6

1712

296

12 7

9012

201

13 9

2912

683

12 4

9812

333

11 6

2811

292

Airp

ort

2014

Jan

Feb

Mar

Apr

May

Jun

Jul

Aug

Sep

Oct

Nov

Dec

Tota

l

Airp

ort P

ax12

6 74

113

6 26

415

5 05

414

5 53

314

0 73

014

5 78

014

8 83

514

6 00

514

8 97

915

8 75

715

6 59

714

0 04

61

749

321

Aver

age

Wee

kday

4 70

05

443

5 74

85

605

5 20

45

563

5 30

05

421

5 51

65

652

5 95

65

397

Aver

age

Wee

kend

2 80

43

425

3 64

43

550

3 33

23

453

3 36

73

216

3 68

23

595

3 74

72

919

Not

e: fi

gure

s re

ceiv

ed in

fi na

ncia

l yea

rs a

nd r

e-ca

lcul

ated

in fo

r ca

lend

ar y

ears

Sou

rce:

Gau

trai

n M

anag

emen

t A

genc

y


Figure 5.5: Number of Gautrain Passengers, 2013/14

Source: Gautrain Management Agency (GMA)

The Gautrain has had a 16 % increase in passenger volumes transported to about 14.9 million

passengers in 2014 of which 1.7 million were airport passengers and 13.1 million were general

passengers (Table 5.9).

Table 5.10: Annual Gautrain Passenger Flows, 2013 – 2014

Calendar Year 2013 2014

Train Total 12 875 578 14 939 228

% change 27.4% 16.0%

General Pax 11 191 260 13 189 907

% change 33.1% 17.9%

Airport Pax 1 684 318 1 749 321

% change -0.8% 3.9%

Note: fi gures received in fi nancial years and re-calculated in for calendar years

Source: Gautrain Management Agency

Table 5.10 shows that the total passenger volumes increased by 16% from 12.8 million in 2013 to

14.9 million in 2014.

1 400

1 200

1 000

800

600

400

200

0

Tho

usan

ds

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

General Pax Airport Pax


105 Annual Transport Statistics Bulletin 2014 Republic of South Africa

Figure 5.6: Annual Passenger Flows, 2013 – 2014


!!"!#!"$%&"

!'"!(#"#&)"

!"#$% !"#&%

*+,+-./"0.1"

!"%(2"'!("

!")2#"'$!"

!"#$% !"#&%

34-56-7"0.1"

Figure 5.6: Annual Passenger Flows, 2013 – 2014


SECTION 6PIPELINES


Map

E: R

epub

lic o

f Sou

th A

fric

a P

ipel

ine

Net

wor

k


6.1 PIPELINES

Table 6.1: Annual Volumes of Petroleum Products Transported, 2009 – 2014

Volumes Unit of

measure2009 2010 2011 2012 2013 2014

Total Petroleum Products

Ml 17 216 17 751 18 025 16 741 15 882 16 583

Percentage change % 1.9% 3.1% 1.5% -7.1% -5.1% 4.4%

Refi ned Ml 10 768 11 480 10 997 10 119 10 432 10 659

Crude Ml 5 172 5 108 5 457 5 171 4 237 4 807

Avtur (Jet Fuel) Ml 1 276 1 163 1 149 1 075 1 005 1 117

Gas million m3 494 455 470 494 472 491

Storage Ml - - - - 857 771

Source: Transnet Pipelines

The total annual volume of Petroleum products in 2014 increased by 4.4% to 16.5 billion litres

from 15.8 billion litres in 2013.

Figure 6.1: Annual Volumes of Petroleum Products Transported (ml), 2009 – 2014

Source: Transnet Pipelines

18 500

18 000

17 500

17 000

16 500

16 000

15 500

15 000

14 5002009 2010 2011 2012 2013 2014

Volumes of Petroleum Products Transported (ml)


Table 6.2: Sources of crude oil for SAPIA members, 2009 – 2014

Country of origin2009 2010 2011 2012 2013 2014

Thousand tonnes

Angola 3 817 3 409 1 948 3 356 2 444 2 614

Antigua and Barbuda

- - 66 - - -

Argentina 516 297 - - - -

Colombia - - - - - 274

Côte d’Ivoire - 88 - - - -

Cuba - 9 - - - -

Ecuador - - 76 67 73 35

Equatorial Guinea - 35 38 76 89 378

Gabon 90 - - - 167 163

Ghana - - - 259 746 756

Indonesia 232

Iran 5 604 5 528 4 874 1 502 - -

Iraq 545 244 - - - 584

Israel 1 - - 0 - -

Kuwait - - - - - 153

Liberia 395 - - - - -

Mozambique - 44 - - 272 -

Nigeria 3 963 3 594 3 755 4 310 4 336 6 658

Norway 74 37 - - - -

Oman 141 72 862 - - -

Panama - - - - - 145

Qatar - - 266 242 - 202

Russian Federation 839 - - - 140 -

Saudi Arabia 6 968 4 584 4 793 8 437 9 723 8 120

Spain - 134 - - - -

Switzerland 128 126 76 152 132 -

United Arab Emirates

553 1 018 598 538 307 924

United Kingdom 80 - 77 - 24 273

United States - 36 262 - - -

Venezuela 277 - - - - -

Yemen 818 - 142 - 207 -

Total 25 040 19 254 17 834 18 940 18 658 21 279

Percentage Change 18.9% -23.1% -7.4% 6.2% -1.5% 14.0% Source: SAPIA


Table 6.2 and Figure 6.2, shows the global crude oil production volumes were 21.2 million tonnes

in 2014, which is an increase of 14% from 18.6 million tonnes in 2013.

Figure 6.2: Sources of crude oil for SAPIA members (Thousand tonnes), 2009 – 2014

30 000

25 000

20 000

15 000

10 000

5 000

02009 2010 2011 2012 2013 2014

Volumes of Crude Oil globally

Source: SAPIA


NOTES

NATIONAL DEPARTMENT OF TRANSPORT (DOT)

HEAD OFFICE

POSTAL ADDRESSPRIVATE BAG X193

PRETORIA0001

PHYSICAL ADDRESS

159 STRUBEN STREETFORUM BUILDING

PRETORIA

Documents

Transport Statistics