quarter 1 2016 - performance...aug 16, 2016 · overall the first quarter of 2016 was good for...

QUARTER 1 2016 - PERFORMANCE

Contents

FOREWORD ........................................................................................................... 4

OVERVIEW OF THE QUARTER .............................................................................. 5

Foreign Tourist Arrivals ................................................................ 7

Total Foreign Direct Spend ............................................................ 8

Provincial Performance ................................................................ 10

Accommodation Section ............................................................... 12

Transportation Section ................................................................ 14

Retail Section ............................................................................ 16

Attractions Section ..................................................................... 17

South African Tourism Index Q1 2016 South African Tourism - Strategic Research Unit

APPENDIX A ........................................................................................................ 18

1.1. APPENDIX 1: TOURIST ARRIVALS ............................................................ 19

1.2. APPENDIX 2: AGE PROFILE...................................................................... 19

1.3. APPENDIX 3: PURPOSE OF VISIT ............................................................. 22

1.4. APPENDIX 4: REPEAT RATE ..................................................................... 25

1.5. APPENDIX 5: LENGTH OF STAY............................................................... 28

1.6. APPENDIX 6: ACCOMMODATION USAGE .................................................. 29

1.7. APPENDIX 7: PROVINCIAL DISTRIBUTION ............................................... 32

1.7.1. SHARE OF ARRIVALS ............................................................................ 32

1.7.2. BEDNIGHTS ........................................................................................... 35

1.8. APPENDIX 8: ACTIVITIES UNDERTAKEN BY TOURISTS ........................... 39

1.9. APPENDIX 9: EXPERIENCES IN SOUTH AFRICA ....................................... 44

1.10. APPENDIX 10: TOTAL FOREIGN DIRECT SPEND .................................. 45

1.11. APPENDIX 12: ACCOMMODATION TABLES .......................................... 47

1.12. APPENDIX 13: ATTRACTIONS TABLES ................................................. 51

1.13. APPENDIX 14: TRANSPORTATION TABLES .......................................... 54

1.14. APPENDIX 15: SATISFACTION TABLES ................................................ 59

2. SA TOURISM’S DEPARTURE SURVEY ........................................................... 62

2.1. SAMPLE DESIGN ....................................................................................... 63

2.2. DATA RELIABILITY ................................................................................... 64

2.3. NORMALISING EXPENDITURE DATA......................................................... 64

3. SA TOURISM’S DOMESTIC TOURISM SURVEY .............................................. 65

3.1. SAMPLE DESIGN ....................................................................................... 65

3.2. NORMALISING EXPENDITURE DATA......................................................... 68

3.3. DATA RELIABILITY ................................................................................... 68

4. GLOSSARY OF TERMS .................................................................................. 69

Foreword As the tourism marketing arm of the South African Government, South African Tourism has developed an integrated marketing strategy that focuses on leisure and business events. Part of our business is to monitor and evaluate the performance of the tourism sector. This consolidated report prepared by the Strategic Research Unit provides a review of the performance of the tourism sector in January to March 2016 against the South African Tourism mandate. This report only provides a summary of tourism’s performance and must be read in conjunction with the tables at the end of the report for the detail that inform the insights in this report. This report by the Strategic Research Unit is also based on the systems and methodologies that were developed and applied from 2001. In 2002, South African Tourism extended the survey of departing foreign tourists at OR Tambo International Airport from only in summer and winter to throughout the year. In 2003, this was extended to Cape Town International Airport. The data collection was also expanded to include monthly surveys of the largest segment of foreign arrivals, land border arrivals. The sample is weighted to tourist arrivals as released by Statistics SA. These changes were made for more robust results as the sample sizes are larger and drawn in way that ensure representativeness. In 2014, Statistics SA made changes to the release of its Tourism & Migration reports and now no longer report on transit arrivals. As a result of this change, the weighting methodology has been

revised and the results in this report are now not comparable to reports prior to 2013. While we have been able to track key metrics consistently over the years through our Departure Surveys, the start of a new data series on tourist arrivals reported by Statistics SA has resulted in a new weighting methodology. This report is now part of the new data series. This report is based on

Statistics SA’s Tourism & Migration releases for 2016

South African Tourism’s monthly departure surveys conducted at OR Tambo International Airport and Cape Town International Airport as well as 12 land border posts during 2016

SA Tourism’s monthly domestic tourism surveys

To access this report online please visit the research section on the South Africa Tourism website at www.southafrica.net/research or for more information e-mail: [email protected]. Disclaimer The Strategic Research Unit makes every effort to publish reports that are error-free. However, with the large number of complex records that are analysed, we cannot guarantee that all reports are totally free of error. All errors that are detected are immediately corrected and the latest version of the report is always available on www.southafrica.net/research. The data in this report is based on statistics collected by the Department of Home Affairs at ports of entry to South Africa. It is processed and released by StatsSA and SA Tourism uses these statistics in good faith.

http://www.southafrica.net/research

mailto:[email protected]

http://www.southafrica.net/research


Overview of the quarter Overall the first quarter of 2016 was good for tourism as trips taken by both foreign and domestic tourists grew by 18.7% and 59.9% respectively compared to first quarter of 2015. The total trips increased to a total of 10.0 million in Q1 2016 compared to 6.8 million in Q1 2015.

Domestic Trips and Foreign Arrivals

Domestic tourism accounted for 7.3 million of those trips and has increased by 59.9% compared to the 4.6 million trips taken in Q1 2015. The increase in domestic trips was largely driven by the shift in the Easter holidays as well as a substantial increase in trips taken with a purpose of visiting family and friends. The second most popular reason why domestic tourists took a trip in this quarter was reasons relating to business and the number of business trips growing to 11.6% of all domestic trips and has surpassed the domestic holiday trips which contracted to 9.1% of all domestic trips from 14.8% in Q1 2015. Foreign Arrivals accounted for 2.7 million of total tourism trips and increased by 18.7% compared to Q1 2015. The fastest growing region was Africa-land (20.6%), followed by Asia and Australasia (29.4%), the Americas (14.9%), Europe (13.3%), and Africa-air markets (4.6%). Despite the impressive growth rates across the regions, Africa-air markets and the Americas have not fully recovered as the arrivals are still below the 2014 levels. Looking at purpose of visit we see that the main driver of the increased foreign volume was among tourist visiting for business and for other purposes (comprised of medical, religion and etc.).

Revenue

The increase in total tourism trips has contributed to the increase in total tourism revenue as it grew by 49.7% to R31.3 billion compared to R21.0 billion in Q1 2015. Domestic trips generated R8.8 billion, while the remaining R22.5 billion was generated from foreign tourists. In general, both domestic and foreign tourists spent more money in the first quarter of 2016. Domestic tourists spend per day, average spend and total spend increased by double digits. There was a growth in foreign spend across all categories of spend in this quarter.

The revenue generated from food & drink consumed by tourists while in SA grew by 84.1% to a total of R3.7 billion.

Revenue generated from shopping for items for personal use grew by 6.0% to an estimated value of R6.4 billion. This remains the biggest spend category.

Spend on accommodation increased by 35.0% to a total of R2.5 billion from R1.8 billion in Q1 2015.

The amount spent on buying things for resale increased by 55.3% to reach R3.4 billion

Spend on transport increased by 22.1% to reach R1.8 billion European tourists who spent more across all the spend categories except transport and medical items. The Americas also spent more on average across all categories with the exception of medical costs. The strong US Dollar compared to the Rand could be one of the driving factors leading to total spend from the region to almost double and spend per day to increase by 46.6%. Tourists from Asia and Australasia spent more on food & drink, transport, accommodation and shopping while spend on the other categories contracted compared to Q1 2015. Africa-air markets saw increases in spend across all the categories with the exception of leisure activities. It was good to see Africa-land markets spending more on food & drink, leisure activities and accommodation.


Length of stay and Bednights

The total number of bednights spent in SA increased by 47.3% to 52.2 million. The increase (52.7%) in domestic bednights to 26.0 million was driven by the increase in trips because overall tourists did not increase their holiday length, instead this shortened slightly as the average length of stay dipped slightly from 3.7 nights to 3.6 nights. From an international perspective the 3.2% growth in bednights was driven by increased in average length of stay as well as the increase in volume. There were more foreign tourists who could afford to stay in the country longer than usual. Nights spent in paid accommodation, increased by 20% to a total of 7.5 million. However, bednights spent in South Africa are largely dominated by nights spent in unpaid accommodation for both domestic and foreign tourists and make up over two-thirds of bednights spent. Among foreign tourists, 71.2% of bednights are unpaid and this share has been increasing in recent years from 63.4% in Q1 2014.

Geographic spread

The provincial spread in South Africa has improved from an international perspective with the arrivals increasing in 8 of the 9 provinces in the first quarter of 2016 (Northern Cape being only province that did not increase in this quarter). Tourism revenue generated by all provinces increased in 8 provinces and Free State was the only province that recorded a decline. To further illustrate the improvement in provincial spread from foreign tourists, we saw an increase of 116% in the number of tourists visiting more than one province to in Q1 2016. From a domestic perspective however, we saw trips decline in 4 of the 9 provinces. Declines were led by Mpumalanga and North West which were down by double-digits (16.9% and 14.5% respectively) while KwaZulu Natal and Eastern Cape also declined by 7.7% and 7.1% respectively.

1 Domestic sample sizes are too unstable to provide the equivalent metric.


Foreign Tourist Arrivals

Tourist arrivals have returned to positive growth with recovery from last year across all regions. In this quarter tourist arrivals grew by 18.7% to 2.7 million. This growth is ahead of the growth by two of our major competitor destinations Australia and Thailand.

18.7% 15.5% 11.4% ** 5.7% **19.1% **10.7%

NB: **CAGR2014-2016

Driving this growth are the Africa-land and Europe markets which have grown to record highs in this quarter over last year. This growth reflects a return to growth, not just recovery of lost ground from last year’s declines. The Americas and Africa-air have not grown past Q1 2014 levels although there are a few markets in each region that have shown strong growth. Asia and Australasia have recovered from the declines of Q1 2015 but are only slightly above Q1 2014 levels which means we have not grown in “real terms”.

5.7%

6.7%

0.7%

6.0%


Total Foreign Direct Spend

Total foreign direct spend (excluding capital expenditure), or foreign tourism revenue has continued to grow ahead of the growth in arrivals with total spend up 38.1% from last year and has a compound annual growth rate (CAGR2014-2016) of 10%. Spend increased across all regions, reaching new records of above both last year and 2014 levels.

The growth is driven by growth in spend on food items, items bought for the purpose of reselling (traders), accommodation and other expenditure. Transport and leisure also grew while shopping, the largest spend category was higher than Q1 2015 but remains below the Q1 2014 levels. This decline in spend on shopping is driven solely by declines among Africa-land with a -28.5% decline in spend compared to Q1 2015.


In general, tourists spent more per day than usual except for tourists from our neighbouring countries. In Q1 2016, they spent on average R500 which is R200 less compared to the R700 spent in 2015. The challenging economic times could be the main reason why there is this decline. In the other regions, we have seen an increase and this can be largely linked to favourable exchange rate. Europeans and Americans spend increased by R500 to a total of R1 400 and R1 500 per day in South Africa. Asia and Australasians and Africa-air markets increased their expenditure by R300 per day to R1 100 and R1 500 respectively.

The rand exchange rate to major currencies have continued to worsen with the exception of the Euro which has dipped slightly below Q1 2014 levels.


Provincial Performance

Gauteng was the most visited province in this quarter and grew to surpass the 1 million tourist arrivals with a total of 9.7 million bednights generating an estimated R9.8 billion in revenue. On average tourists stayed 8.7 nights. Western Cape is the 2nd most visited province with 0.4 million tourist arrivals generating 4.7 million bednights. All provinces saw arrivals grow ahead of 2015 levels and 2014 levels with the exception of Limpopo and Northern Cape.

Similarly, the same held true in terms of spend which grew for all provinces with the exception of Limpopo and Free State.


The coastal regions lead the decline in average length of stay with Western Cape, Eastern Cape and KwaZulu Natal having shorter lengths of stay in Q1 2016 than the previous years. Mpumalanga declined from 2015 while the other provinces showed an increase in length of stay from last year.

Gauteng leads on bednights despite the shorter average length of stay indicating that this is driven by the volume of tourists coming to that province.

The proportion of tourists visiting more than one province has increased for all provinces in this quarter over the same period last year. Eastern Cape is the province visited by the largest proportion of tourists who visit more than one province.


Accommodation Section Of the 26.2 million bednights in this quarter, 71.2% was spent in unpaid accommodation, while the remaining were in paid accommodation. The share of nights spent in unpaid accommodation has been increasing in recent years and has grown from 63.4% to 71.2% between Q1 2015 and Q1 2016, while the share of nights spent in the formal paid accommodation sector has been shrinking from 35.8% to 27.2%. This implies that tourist coming into South Africa are more inclined in staying with friends and family or staying in their own holiday homes than utilising accommodation in the formal sector. The popular increase of AirBnB and similar sharing economy services globally also poses a challenge in the usage of formal accommodation in the future.

NB:

Formal Bednights = Hotels, guesthouses, bed and breakfasts, self-catering, game lodge & backpackers.

Paid Bednights = Hotels, guesthouses, bed and breakfasts, self-catering, game lodge, backpackers, camping, train and hospital.

Despite the shrinking share in paid accommodation, the number of nights increased by 20% to a total of 7.5 million. This means that the number of sold units has increased hence the increase in accommodation revenue generated in the quarter. Guest houses and B&B’s experienced declines in number of bednights as fewer foreign tourists utilised these form of establishments in this quarter. Self-catering bednights grew driven by an increase in length of stay.

Paid Bednights

Formal Bednights


Just over 70% of formal bednights are spent in Western Cape and Gauteng, and both provinces saw an increase from last year. All other provinces did not really benefit from the increasing arrivals.

Although bednights in the formal accommodation are below 2014 levels there has been above inflation growth in spend on accommodation across all the provinces.


Transportation Section

Revenue generated from the transport sector increased to R1.8 billion in Q1 2016. In general, the tourist who visited South Africa in this quarter spent more on average on transport than usual as the average spend increased from R800 to R1 200. This growth in transport spend has also been ahead of inflation.

The increase in spend on transportation can neither be attributed to Inflation on the petrol price. Consumer Price Index peaked at 7.0% in February but is well below the double-digit growth in average (34.8%) and overall (22.1%) spend on transportation.

The passenger traffic in ACSA controlled airports grew by 5.4% in Q1 2016 and the compounded

annual growth rate (CAGR2014-2016) was 3.2%. This is a good indication that airlines were busier than what they were compared to the previous period. This however does not necessarily mean that all these are ‘tourists’ coming to South Africa. These figures include all travelers including domestic and transiting passengers who have

utilized any of the airlines and airports. This could speak to SA growing as an airlink hub. Also these increased volumes and the increase in geographic spread in terms number of provinces visited together are likely the drivers of increases in transport expenditure. Domestic traffic is driving both the year on year growth as well as compounded annual growth rate (CAGR2014-2016).


Overall private cars, minibus taxis and foot or bicycle are the most used modes of transport and these are also the top among land markets. For air markets the top transport modes are private car, aeroplane and rental car.

There was interesting growth for minibus taxis, commercial buses and trains among the land market which contribute to the strong revenue growth. From the air markets other taxis and tour buses saw strong growth over last year.


Retail Section Revenue generated from shopping for items for personal use grew by to an estimated value of R6.4 billion in 2016 and this is the biggest spent category in tourism.

Spend on shopping among the Africa-land markets is falling as spend from all air markets rises. In particular we see that Africa-air markets are driving most of the growth in shopping revenue and now outspend all other regions on average.

Land markets reduced the purchasing across all the products as more than a third bought nothing at all in 2016. Among the air markets groceries and jewellery are the items that have grown from last year with most of the other items slightly lower but consistent with previous years.


Attractions Section The top attractions across the country are mostly natural attractions and shopping malls.

Spend on leisure grew from Q1 2015 to Q1 2016 yet average spend declined slightly from 2015.

Shopping and nightlife remained the top activities for tourists.

NB: Eating out, Entertainment and Church are new additions to the activities list in 2016.Among the attractions we have elaborated on vague options such as beach or shopping mall to allow for more granular and detailed responses that speak to a specific place.

Appendix A

Tourism Performance Report - Quarter 1 - 2016

2015 2016 Difference % Change

Total tourist arrivals 2 292 169 2 721 005 428 836 18.7%

Africa land markets 1 617 570 1 951 176 333 606 20.6%

Africa air markets 95 332 99 694 4 362 4.6%

Americas 92 710 106 490 13 780 14.9%

Asia & Australasia 81 498 105 419 23 921 29.4%

Europe 402 223 455 703 53 480 13.3% Source: Statssa, South African Tourism analysis. Note: Regions do not add up to total due to 2,523 “Unspecified”–details in report body.

2015 2016

Total Foreign Direct Spend in SA (Including capital expenditure)

R17,1 billion R24,1 billion (up 41.1% from 2015)

Total Foreign Direct Spend in SA (Excluding capital expenditure)

Land markets2

Air markets3

R16,3 billion

R8,0 billion R8,3 billion

R22,5 billion (up 38.1% from 2015)

R9,5 billion R13,0 billion

Average spend in SA per foreign tourist (Excluding capital expenditure)

Land markets1

Air markets2

R7,300

R4,900 R13,600

R9,000

R5,200 R19,300

Average spend in SA per foreign tourist per day (Excluding capital expenditure)

Land markets1

Air markets2

R 880

R 780 R1,010

R 850

R 550 R1,410

Average Length of Stay

Land markets1

Air markets2

8.3 nights 6.3 nights 13.5 nights

10.0 nights 8.8 nights 13.4 nights

Total bednights spent in SA

Land markets1

Air markets2

18,4 million 10,2 million 8,2 million

26,2 million 17,1 million 9,1 million

Proportion of foreign tourists who visit more than one province

Land markets1

Air markets2

7.7%

1.7% 23.6%

16.0%

11.0% 30.3%

Source: South African Tourism Departure Surveys, South African Tourism analysis, Tourism Satellite Account - StatsSA

2015 2016

Total Domestic Trips 4,6 million 7,3 million

Total Direct Domestic Spend R 4,6 billion R 8,8 billion

Average Spend per Domestic Trip R 1,020 R 1,210

Average Nights per Domestic Trip 3.7 nights 3.6 nights

Total Quarter Domestic Bednights 17,0 million 26,0 million

Source: South African Tourism Domestic Survey, South African Tourism analysis

2 Land markets are those countries where at least 60% of arrivals from the country arrive by land. The countries are Botswana, Lesotho,

Mozambique, Malawi, Namibia, Swaziland, Zambia and Zimbabwe. 3 Air markets are those countries where at least 60% of arrivals from the country arrive by air.


1.1. Appendix 1: Tourist Arrivals

1.2. Appendix 2: Age profile

18-24 years 25-34 years 35-44 years 45-54 years 55-64 years 65+ years

AFRICA LAND 13.3% 35.0% 29.8% 12.2% 3.6% 2.0%

Botswana 5.1% 36.1% 31.7% 14.9% 4.3% 1.9%

Lesotho 23.7% 34.4% 21.5% 7.5% 3.6% 3.3%

Malawi 4.9% 25.3% 47.1% 17.0% 2.3% 1.5%

Mozambique 12.7% 38.3% 29.0% 10.9% 1.7% 1.9%

Namibia 5.1% 20.9% 21.4% 21.5% 14.8% 8.3%

Swaziland 16.4% 42.2% 24.0% 12.2% 3.7%

Zambia 3.7% 21.4% 47.0% 19.0% 3.9%

Zimbabwe 7.6% 33.2% 37.8% 14.8% 3.8% 1.2%

AFRICA AIR 7.4% 30.5% 34.7% 16.5% 4.7% 1.7%

Angola 6.3% 34.7% 35.0% 16.8% 5.1% 2.2%

Democratic Republic of Congo 4.1% 20.2% 38.8% 22.1% 11.9% 2.0%

Ethiopia 26.1% 32.3% 23.9% 6.2% 3.8%

Ghana 5.4% 34.6% 27.2% 15.3% 1.4% 3.8%

Kenya 5.8% 38.1% 31.2% 15.1% 5.0%

Nigeria 4.5% 33.0% 36.7% 13.9% 4.1%

Tanzania 4.1% 38.4% 36.4% 10.6% 1.3% 1.4%

Uganda 2.1% 33.7% 37.4% 10.7% 4.2%

Other Africa and Middle East 11.3% 26.4% 33.9% 18.2% 4.5% 2.2%

AMERICAS 11.6% 25.6% 24.9% 18.4% 10.3% 6.9%

Argentina 25.4% 37.9% 24.6% 2.8% 5.6%

Brazil 18.3% 36.6% 25.4% 7.7% 9.9%

Canada 6.6% 21.1% 25.0% 22.2% 14.4% 7.7%

USA 11.4% 23.7% 25.0% 19.9% 9.8% 7.8%

Other Americas 12.4% 58.2% 18.0% 2.5% 5.3% 2.2%

ASIA & AUSTRALASIA 5.6% 31.0% 34.9% 17.1% 6.8% 3.4%

Australia 12.1% 26.4% 27.9% 18.2% 7.8% 5.6%

China including Hong Kong 37.4% 38.1% 15.4% 5.1% 3.6%

India 5.7% 31.9% 38.5% 17.7% 3.6%

Japan 6.8% 23.0% 39.3% 20.2% 6.7% 3.1%

New Zealand 13.9% 26.3% 22.7% 18.2% 17.3% 1.6%

South Korea 3.0% 19.0% 34.0% 18.9% 16.3% 8.7%

Other Asia and Australasia 5.0% 31.3% 38.0% 15.7% 6.5% 1.6%

EUROPE 8.6% 28.0% 27.7% 18.2% 9.0% 7.5%

Austria 10.5% 36.3% 31.8% 11.3% 4.3% 5.8%

Belgium 5.5% 31.0% 27.3% 21.7% 10.2% 3.7%

Denmark 17.2% 23.3% 23.0% 21.9% 8.1% 6.5%

France 5.8% 27.8% 28.5% 20.7% 10.3% 6.3%

Germany 12.4% 27.9% 23.0% 18.8% 9.2% 7.8%

Italy 3.4% 24.1% 37.8% 24.5% 7.2% 1.8%

Netherlands 9.0% 30.8% 24.4% 19.9% 9.5% 6.4%

Russian Fed 2.3% 18.7% 42.6% 29.5% 6.9%

Spain 6.1% 36.7% 38.9% 15.0% 2.5%

Sweden 4.4% 25.4% 25.0% 24.7% 12.4% 7.3%

Switzerland 9.0% 26.6% 31.0% 17.8% 10.9% 4.1%

UK 7.5% 26.4% 29.1% 16.1% 9.1% 10.2%

Other Europe 8.3% 32.1% 30.0% 16.3% 7.4% 5.1%

ALL FOREIGN TOURISTS 12.0% 33.3% 29.6% 13.7% 4.8% 3.1%

Notes:

AGE OF RESPONDENTS

2016

Blank cells indicate that the sample is not big enough for a valid statistical interpretation



AFRICA LAND 11.4% 36.5% 34.2% 13.2% 3.4% 1.3%

Botswana 1.9% 16.0% 63.4% 15.9% 2.5%

Lesotho 15.6% 42.1% 21.1% 13.8% 5.9% 1.4%

Malawi 26.1% 52.3% 18.4% 2.6%

Mozambique 17.5% 49.4% 26.4% 6.0%

Namibia 6.6% 21.9% 32.7% 28.5% 4.8% 5.3%

Swaziland 31.0% 43.7% 15.5% 6.5% 2.2% 1.1%

Zambia 3.3% 22.3% 59.9% 10.7% 3.4%

Zimbabwe 1.0% 29.5% 45.8% 17.6% 3.9% 2.1%

AFRICA AIR 5.9% 25.4% 41.5% 16.8% 5.4% 1.5%

Angola 12.8% 28.7% 35.8% 10.2% 4.9%

Democratic Republic of Congo 2.6% 20.6% 42.6% 20.7% 12.2%

Ethiopia 4.5% 25.3% 43.5% 20.3% 5.6%

Ghana 5.6% 38.3% 41.3% 13.5%

Kenya 19.2% 56.4% 16.4% 4.0% 1.2%

Nigeria 6.2% 25.3% 41.7% 16.7% 6.2% 1.9%

Tanzania 1.3% 19.3% 43.2% 25.5% 7.3% 2.0%

Uganda 2.1% 25.7% 52.3% 12.0% 4.1% 1.9%


AMERICAS 8.7% 21.2% 28.2% 21.0% 9.1% 7.1%

Argentina 7.0% 25.4% 41.2% 16.1% 9.1% 1.1%

Brazil 4.9% 31.7% 42.3% 16.1% 3.7% 1.3%

Canada 7.9% 24.0% 22.2% 19.8% 7.9% 6.6%

USA 9.5% 19.4% 27.4% 21.8% 10.0% 8.3%

Other Americas 7.2% 18.0% 33.7% 23.9% 7.4% 1.9%


Australia 8.9% 18.4% 30.1% 22.6% 8.0% 7.0%

China including Hong Kong 6.8% 30.2% 34.3% 17.3% 4.5% 2.2%

India 4.9% 28.5% 41.6% 17.3% 4.3% 1.7%

Japan 3.9% 22.9% 30.1% 19.4% 5.9%

New Zealand 7.7% 14.8% 35.9% 25.9% 9.7% 4.8%

South Korea 4.5% 24.4% 43.4% 15.2% 6.6% 3.5%


EUROPE 8.7% 23.2% 25.0% 18.2% 8.8% 8.8%

Austria 6.3% 19.8% 41.1% 22.5% 5.4% 4.8%

Belgium 4.9% 11.9% 37.5% 26.3% 8.8% 10.1%

Denmark 13.3% 33.4% 10.3% 16.5% 5.7% 8.1%

France 8.1% 24.9% 27.2% 17.9% 9.1% 12.5%

Germany 10.4% 21.5% 23.4% 20.8% 9.2% 8.4%

Italy 6.6% 18.6% 36.9% 16.2% 4.5% 5.0%

Netherlands 6.9% 24.0% 16.3% 16.8% 12.6% 14.2%

Russian Fed 2.1% 20.7% 40.1% 26.4% 7.1% 2.8%

Spain 6.3% 19.3% 43.6% 10.0% 5.4% 1.0%

Sweden 9.7% 27.0% 30.2% 21.1% 7.5% 3.8%

Switzerland 7.3% 24.1% 27.9% 13.8% 12.2% 2.4%

UK 8.6% 23.8% 22.6% 16.6% 9.6% 10.1%

Other Europe 9.0% 25.0% 28.3% 19.2% 4.5% 5.2%


Notes:

AGE OF RESPONDENTS

2015




AFRICA LAND 13.2% 32.7% 34.1% 15.1% 3.7% 1.1%

Botswana 2.1% 23.3% 50.5% 20.8% 3.2%

Lesotho 21.4% 38.4% 24.8% 11.2% 2.7% 1.4%

Malawi 3.2% 25.5% 54.5% 14.6% 2.0%

Mozambique 16.7% 44.7% 28.1% 8.6% 1.6%

Namibia 6.0% 22.7% 28.9% 27.4% 8.5% 5.2%

Swaziland 35.4% 41.2% 16.0% 5.0% 1.7%

Zambia 3.3% 33.5% 43.2% 15.5% 4.3%

Zimbabwe 21.0% 46.5% 23.7% 6.4% 1.7%

AFRICA AIR 8.5% 29.7% 34.0% 20.1% 4.8% 1.0%

Angola 12.4% 34.7% 34.0% 11.0% 4.0%


Ethiopia 9.0% 37.7% 28.9% 17.5% 5.7%

Ghana 6.6% 25.8% 41.1% 19.9% 5.3%

Kenya 6.6% 32.1% 38.9% 18.4% 3.9%

Nigeria 7.8% 32.2% 33.4% 22.5% 3.2%

Tanzania 6.5% 34.6% 37.1% 16.9% 4.1%

Uganda 4.6% 30.9% 41.9% 19.5% 3.1%


AMERICAS 9.3% 26.0% 24.2% 18.9% 9.3% 8.2%

Argentina 14.3% 31.2% 24.5% 16.4% 9.1% 3.3%

Brazil 10.7% 39.8% 28.9% 14.2% 3.7% 2.2%

Canada 8.1% 26.9% 21.6% 20.7% 10.0% 4.7%

USA 8.5% 23.0% 23.8% 19.2% 10.4% 10.8%

Other Americas 16.3% 26.7% 29.9% 23.6% 3.0%


Australia 16.1% 18.4% 25.5% 21.1% 7.3% 8.3%

China including Hong Kong 11.3% 32.1% 28.7% 13.9% 10.1% 2.7%

India 3.6% 37.6% 29.6% 16.3% 6.7% 3.4%

Japan 6.4% 21.8% 39.8% 17.0% 2.8%

New Zealand 10.8% 17.8% 23.2% 22.7% 7.6% 17.9%

South Korea 6.9% 30.5% 34.2% 18.7% 7.8%


EUROPE 7.8% 23.0% 21.4% 19.5% 11.5% 9.2%

Austria 9.3% 19.8% 28.0% 25.4% 11.2% 3.9%

Belgium 10.8% 19.4% 26.5% 19.9% 11.5% 7.5%

Denmark 17.1% 28.8% 15.5% 12.5% 12.5% 5.6%

France 4.3% 26.3% 27.6% 24.7% 9.3% 4.3%

Germany 11.0% 21.1% 18.6% 21.0% 10.5% 7.8%

Italy 4.0% 29.5% 26.9% 16.2% 10.6% 6.1%

Netherlands 8.2% 21.9% 13.9% 19.0% 15.0% 10.9%

Russian Fed 2.4% 18.1% 29.6% 29.4% 13.1% 3.9%

Spain 5.6% 35.6% 28.9% 13.9% 6.3% 1.8%

Sweden 7.9% 31.5% 28.6% 17.0% 11.3% 2.4%

Switzerland 9.5% 20.2% 23.4% 18.3% 14.6% 6.8%

UK 6.2% 20.0% 19.8% 17.7% 12.5% 15.2%

Other Europe 6.7% 29.7% 25.1% 20.2% 9.0% 4.3%


Notes:

AGE OF RESPONDENTS

2014



1.3. Appendix 3: Purpose of visit

Leisure Business Medical Religion Other

AFRICA LAND 66.3% 19.6% 1.7% 3.1% 9.2%

Botswana 53.2% 25.2% 2.2% 9.3% 10.1%

Lesotho 66.0% 11.2% 1.9% 2.9% 18.0%

Malawi 37.3% 52.0% 1.2% 3.7% 5.8%

Mozambique 78.2% 16.2% 4.1%

Namibia 58.3% 25.7% 4.6% 10.5%

Swaziland 60.3% 26.2% 2.1% 2.7% 8.6%

Zambia 41.0% 49.5% 3.8% 5.2%

Zimbabwe 69.2% 20.5% 1.8% 3.3% 5.2%

AFRICA AIR 50.4% 33.5% 3.6% 2.0% 10.5%

Angola 60.5% 19.8% 9.8% 9.4%


Ethiopia 44.7% 43.8% 11.6%

Ghana 36.5% 37.7% 5.6% 8.2% 12.0%

Kenya 25.8% 51.7% 3.3% 18.3%

Nigeria 52.9% 31.5% 1.1% 5.2% 9.3%

Tanzania 33.3% 37.0% 5.3% 24.4%

Uganda 33.0% 44.0% 2.7% 1.9% 18.4%

Other Africa and Middle East 55.8% 36.3% 1.0% 6.3%

AMERICAS 68.5% 23.1% 0.1% 0.6% 7.6%

Argentina 68.6% 27.7% 3.7%

Brazil 57.9% 31.7% 10.4%

Canada 74.0% 22.7% 2.9%

USA 68.6% 22.2% 8.2%

Other Americas 59.1% 23.5% 16.6%

ASIA & AUSTRALASIA 66.7% 30.7% 0.0% 0.3% 2.3%

Australia 84.7% 9.8% 4.4%

China including Hong Kong 75.3% 24.5%

India 30.9% 65.5% 3.4%

Japan 54.8% 43.4% 1.9%

New Zealand 69.7% 25.9% 4.4%

South Korea 88.8% 11.2%

Other Asia and Australasia 57.4% 40.2% 2.4%

EUROPE 69.5% 26.3% 0.1% 0.3% 3.7%

Austria 67.0% 27.6% 5.5%

Belgium 59.8% 36.7% 3.6%

Denmark 62.4% 29.5% 8.1%

France 64.7% 32.1% 3.0%

Germany 72.3% 23.5% 4.1%

Italy 51.8% 35.9% 7.4% 5.0%

Netherlands 73.2% 20.5% 5.6%

Russian Fed 13.6% 79.9% 2.1% 4.5%

Spain 64.4% 33.0% 2.6%

Sweden 63.3% 34.7% 2.0%

Switzerland 77.4% 19.2% 3.4%

UK 75.7% 21.5% 2.4%

Other Europe 55.0% 38.8% 6.0%

ALL FOREIGN TOURISTS 66.4% 21.6% 1.4% 2.5% 8.1%

Notes:

PURPOSE OF VISIT: ALL FOREIGN VISITORS

2016




AFRICA LAND 77.4% 15.3% 2.6% 0.6% 4.1%

Botswana 51.5% 30.9% 6.2% 3.5% 7.8%

Lesotho 82.6% 11.3% 1.3% 4.2%

Malawi 33.6% 58.8% 6.7%

Mozambique 86.9% 6.2% 3.1% 3.5%

Namibia 49.7% 30.7% 5.8% 13.0%

Swaziland 79.0% 10.8% 9.4%

Zambia 37.6% 57.2% 1.2% 1.5% 2.6%

Zimbabwe 81.7% 14.0% 3.1%

AFRICA AIR 44.8% 40.2% 2.4% 0.8% 11.8%

Angola 49.9% 35.4% 2.5% 12.2%

Democratic Republic of Congo 45.3% 44.0% 5.4% 5.3%

Ethiopia 43.7% 36.3% 4.5% 14.6%

Ghana 45.6% 39.6% 1.3% 13.4%

Kenya 17.4% 56.1% 6.8% 19.7%

Nigeria 58.0% 30.6% 2.4% 1.5% 7.4%

Tanzania 23.4% 47.0% 5.5% 24.2%

Uganda 30.9% 47.2% 2.1% 19.7%

Other Africa and Middle East 47.3% 41.2% 1.3% 9.6%

AMERICAS 66.8% 23.8% 0.2% 0.2% 9.0%

Argentina 60.4% 33.1% 6.4%

Brazil 62.3% 27.9% 9.1%

Canada 73.5% 18.4% 7.6%

USA 66.8% 23.8% 9.0%



Australia 80.3% 14.8% 1.1% 3.6%

China including Hong Kong 49.2% 44.9% 5.9%

India 39.6% 55.8% 3.9%

Japan 39.2% 55.4% 4.6%

New Zealand 83.3% 12.0% 4.6%

South Korea 35.9% 59.5% 4.6%


EUROPE 68.6% 22.2% 0.3% 0.0% 8.9%

Austria 60.3% 32.4% 1.2% 6.0%

Belgium 58.3% 30.6% 11.2%

Denmark 70.3% 17.7% 12.0%

France 57.1% 30.2% 12.1%

Germany 67.2% 23.4% 9.2%

Italy 54.0% 39.4% 6.6%

Netherlands 81.0% 11.2% 7.0%

Russian Fed 25.2% 68.0% 6.7%

Spain 60.4% 30.3% 9.3%

Sweden 62.6% 19.8% 16.9%

Switzerland 74.4% 14.7% 10.1%

UK 74.4% 18.5% 6.9%

Other Europe 64.5% 25.0% 10.4%


Notes:


2015




AFRICA LAND 74.5% 16.9% 3.0% 0.5% 5.2%

Botswana 42.7% 40.0% 4.1% 5.0% 8.2%

Lesotho 82.7% 11.1% 1.4% 4.6%

Malawi 35.3% 61.5% 1.4% 1.8%

Mozambique 79.4% 9.2% 5.1% 6.3%

Namibia 47.6% 34.2% 7.6% 10.6%

Swaziland 79.8% 9.5% 10.2%

Zambia 32.0% 59.7% 2.4% 5.8%

Zimbabwe 78.1% 16.1% 3.3% 2.2%

AFRICA AIR 44.9% 41.8% 2.0% 0.6% 10.7%

Angola 55.7% 28.8% 3.5% 12.0%


Ethiopia 34.5% 50.9% 6.8% 7.9%

Ghana 42.6% 45.5% 2.7% 1.9% 7.3%

Kenya 24.4% 54.7% 2.6% 2.0% 16.4%

Nigeria 53.6% 35.0% 9.5%

Tanzania 37.6% 41.6% 2.8% 17.3%

Uganda 26.5% 58.3% 2.0% 13.1%

Other Africa and Middle East 44.0% 45.8% 9.1%

AMERICAS 61.0% 28.0% 0.1% 0.3% 10.7%

Argentina 59.6% 31.4% 1.1% 7.9%

Brazil 57.6% 28.8% 13.6%

Canada 66.8% 29.2% 4.0%

USA 61.7% 25.8% 12.0%



Australia 76.3% 18.1% 5.7%


India 41.6% 51.1% 7.0%

Japan 36.4% 56.2% 7.4%

New Zealand 77.7% 15.5% 6.0%

South Korea 31.2% 61.2% 7.7%


EUROPE 70.7% 23.6% 0.1% 0.0% 5.5%

Austria 63.4% 22.2% 14.3%

Belgium 65.2% 30.7% 4.1%

Denmark 78.2% 15.6% 6.3%

France 56.9% 37.6% 5.2%

Germany 72.5% 23.5% 4.0%

Italy 52.9% 42.0% 4.6%

Netherlands 80.3% 12.3% 7.0%

Russian Fed 38.0% 58.2% 3.9%

Spain 52.2% 45.9% 1.8%

Sweden 50.7% 38.6% 10.7%

Switzerland 71.4% 21.1% 7.5%

UK 78.8% 16.1% 5.0%

Other Europe 65.2% 28.1% 6.4%


Notes:


2014



1.4. Appendix 4: Repeat rate

First time 2-3 times 4-5 times 6-9 times

10 or more

times

AFRICA LAND 3.0% 10.5% 8.9% 14.2% 63.4%

Botswana 2.2% 2.1% 3.0% 92.5%

Lesotho 9.2% 36.9% 23.1% 14.9% 15.9%

Malawi 3.3% 12.4% 12.2% 21.1% 51.0%

Mozambique 4.9% 13.4% 11.6% 14.6% 55.5%

Namibia 1.7% 20.5% 22.4% 15.2% 40.2%

Swaziland 3.2% 2.8% 10.0% 83.1%

Zambia 3.4% 14.2% 7.9% 20.8% 53.6%

Zimbabwe 2.8% 9.7% 8.7% 21.8% 56.9%

AFRICA AIR 33.7% 27.2% 13.8% 10.1% 15.2%

Angola 21.0% 20.7% 16.7% 13.6% 28.0%


Ethiopia 26.2% 43.8% 13.9% 6.1% 10.0%

Ghana 33.3% 31.6% 17.8% 7.9% 9.4%

Kenya 30.9% 29.3% 12.3% 14.0% 13.6%

Nigeria 40.0% 30.7% 13.3% 5.9% 10.0%

Tanzania 24.3% 27.9% 13.2% 21.3% 13.3%

Uganda 24.7% 28.8% 17.2% 18.3% 11.0%

Other Africa and Middle East 39.5% 28.0% 12.5% 8.1% 12.0%

AMERICAS 68.3% 18.8% 7.0% 2.8% 3.0%

Argentina 76.0% 13.7% 7.4% 2.8%

Brazil 73.4% 14.3% 3.1% 3.3% 5.9%

Canada 72.9% 16.1% 5.6% 2.1% 3.4%

USA 65.8% 20.5% 7.8% 2.9% 2.9%

Other Americas 86.2% 5.5% 4.0% 4.4%


Australia 35.4% 24.9% 16.0% 17.2% 6.6%

China including Hong Kong 58.4% 33.8% 3.0% 4.3%

India 42.7% 32.4% 12.3% 6.7% 6.0%

Japan 50.3% 28.5% 10.7% 6.8% 3.7%

New Zealand 39.6% 25.3% 18.7% 10.7% 5.8%

South Korea 52.3% 32.8% 4.9% 4.8% 5.3%

Other Asia and Australasia 47.3% 33.3% 8.5% 5.6% 5.3%

EUROPE 51.5% 25.7% 9.9% 6.8% 6.0%

Austria 64.9% 22.1% 4.4% 4.3% 4.4%

Belgium 60.8% 23.1% 9.2% 3.2% 3.8%

Denmark 68.4% 12.8% 11.1% 5.3% 2.4%

France 59.4% 25.9% 9.6% 2.8% 2.3%

Germany 54.6% 24.8% 9.2% 6.7% 4.8%

Italy 67.2% 23.7% 5.7% 1.3% 2.1%

Netherlands 58.7% 23.1% 8.0% 5.5% 4.7%

Russian Fed 42.4% 42.3% 6.8% 8.5%

Spain 65.4% 28.9% 5.7%

Sweden 61.1% 28.5% 5.0% 1.2% 4.2%

Switzerland 67.1% 16.0% 6.7% 1.9% 8.3%

UK 36.7% 29.1% 13.5% 11.2% 9.5%

Other Europe 59.9% 24.7% 6.8% 4.6% 4.1%


Notes:

REPEATER RATE: ALL FOREIGN VISITORS

2016




10 or more

times

AFRICA LAND 0.4% 2.9% 8.4% 15.0% 73.2%

Botswana 2.4% 1.3% 1.1% 95.1%

Lesotho 1.0% 5.1% 93.1%

Malawi 6.6% 7.9% 4.9% 8.0% 72.5%

Mozambique 3.1% 35.3% 56.6% 5.0%

Namibia 5.4% 4.8% 9.1% 80.3%

Swaziland 1.1% 97.6%

Zambia 1.9% 16.9% 10.0% 7.3% 63.9%

Zimbabwe 3.2% 2.0% 5.8% 88.7%

AFRICA AIR 21.7% 39.1% 21.7% 11.0% 6.6%

Angola 12.7% 47.9% 18.6% 14.5% 6.4%


Ethiopia 15.9% 46.4% 16.8% 13.9% 7.0%

Ghana 32.0% 32.8% 17.3% 10.6% 7.4%

Kenya 13.3% 46.1% 24.5% 6.5% 9.6%

Nigeria 26.6% 32.9% 23.0% 8.5% 9.0%

Tanzania 9.9% 39.4% 26.1% 15.8% 8.8%

Uganda 12.6% 44.8% 27.3% 10.9% 4.4%


AMERICAS 55.2% 27.0% 12.7% 3.7% 1.3%

Argentina 37.0% 35.3% 21.3% 6.4%

Brazil 48.9% 31.9% 11.8% 5.8% 1.6%

Canada 63.9% 19.4% 13.5% 1.8% 1.5%

USA 54.5% 27.8% 12.4% 3.9% 1.3%

Other Americas 49.8% 32.9% 13.3% 3.1%


Australia 27.3% 43.5% 13.9% 10.8% 4.6%


India 37.0% 38.1% 15.8% 5.1% 4.0%

Japan 37.5% 30.8% 16.0% 12.7% 3.0%

New Zealand 47.6% 27.6% 16.3% 4.6% 3.8%

South Korea 49.0% 36.6% 11.6% 2.2%


EUROPE 49.5% 25.4% 12.3% 8.2% 4.6%

Austria 54.7% 28.8% 7.8% 7.5% 1.2%

Belgium 49.1% 25.4% 10.4% 10.4% 4.6%

Denmark 70.6% 15.6% 9.4% 2.4% 2.1%

France 52.7% 26.6% 12.1% 8.1%

Germany 53.3% 23.2% 10.2% 8.7% 4.6%

Italy 62.7% 24.1% 8.1% 3.1% 2.0%

Netherlands 52.2% 21.8% 10.2% 8.1% 7.7%

Russian Fed 50.6% 29.8% 13.0% 6.6%

Spain 68.7% 19.0% 4.0% 7.3% 1.0%

Sweden 54.2% 31.7% 9.6% 4.4%

Switzerland 59.3% 21.1% 8.8% 9.5% 1.4%

UK 37.6% 29.1% 16.0% 10.3% 7.1%

Other Europe 58.1% 21.9% 13.0% 4.2% 2.8%


Notes:


2015




10 or more

times

AFRICA LAND 1.8% 4.0% 10.0% 11.4% 72.8%

Botswana 1.9% 2.0% 1.1% 94.6%

Lesotho 1.3% 1.5% 5.6% 91.4%

Malawi 4.3% 9.9% 3.3% 5.1% 77.4%

Mozambique 4.2% 9.2% 41.2% 41.6% 3.8%

Namibia 1.5% 7.4% 4.3% 8.1% 78.8%

Swaziland 1.1% 3.2% 95.0%

Zambia 9.1% 14.2% 12.6% 5.5% 58.6%

Zimbabwe 1.5% 2.7% 2.8% 3.3% 89.7%

AFRICA AIR 26.3% 40.3% 19.4% 7.9% 6.2%

Angola 11.0% 43.1% 22.7% 11.8% 11.4%


Ethiopia 31.7% 39.5% 20.1% 7.7% 1.0%

Ghana 29.2% 47.8% 11.8% 7.8% 3.3%

Kenya 18.4% 46.1% 19.7% 8.5% 7.2%

Nigeria 29.9% 38.1% 23.4% 5.9% 2.7%

Tanzania 22.6% 42.9% 17.4% 6.2% 11.0%

Uganda 14.9% 46.5% 24.9% 5.6% 8.0%


AMERICAS 58.1% 24.1% 10.0% 5.0% 2.8%

Argentina 43.7% 47.5% 6.7% 2.1%

Brazil 51.5% 35.3% 10.2% 1.2% 1.7%

Canada 55.7% 21.3% 10.3% 5.9% 6.8%

USA 61.1% 20.8% 10.1% 5.6% 2.3%

Other Americas 54.2% 30.5% 9.7% 5.6%


Australia 37.2% 27.0% 15.6% 12.9% 7.2%


India 42.5% 36.9% 14.0% 4.3% 2.4%

Japan 34.2% 37.6% 19.2% 7.6% 1.4%

New Zealand 37.7% 30.1% 20.5% 9.6% 2.0%

South Korea 32.9% 46.2% 16.7% 2.7% 1.5%


EUROPE 49.5% 24.1% 11.8% 8.3% 6.3%

Austria 55.1% 20.3% 14.4% 5.5% 4.7%

Belgium 56.9% 24.6% 9.1% 4.6% 4.7%

Denmark 65.8% 23.9% 5.6% 1.3% 3.3%

France 57.2% 21.6% 9.7% 6.8% 4.7%

Germany 54.6% 22.3% 9.9% 8.1% 5.1%

Italy 62.0% 17.8% 12.2% 5.5% 2.5%

Netherlands 50.6% 22.7% 13.6% 7.5% 5.6%

Russian Fed 58.9% 31.1% 5.8% 3.1% 1.0%

Spain 80.9% 11.0% 4.5% 3.6%

Sweden 49.7% 35.9% 8.9% 4.2% 1.3%

Switzerland 62.5% 17.0% 6.6% 8.1% 5.9%

UK 34.6% 26.9% 16.0% 12.3% 10.3%

Other Europe 56.9% 24.5% 9.3% 5.2% 4.1%


Notes:


2014



1.5. Appendix 5: Length of stay

2014 2015 2016

AFRICA LAND 6.8 6.3 8.8

Botswana 3.0 2.6 2.9

Lesotho 9.8 9.6 12.0

Malawi 7.4 7.0 8.1

Mozambique 7.2 8.0 12.7

Namibia 4.2 3.9 8.8

Swaziland 10.7 9.5 6.6

Zambia 5.8 5.9 7.0

Zimbabwe 3.8 2.8 6.0

AFRICA AIR 10.6 10.1 13.1

Angola 11.2 11.0 11.8

Democratic Republic of Congo 10.1 9.1 23.2

Ethiopia 9.7 10.2 14.5

Ghana 10.5 10.3 14.4

Kenya 7.0 5.9 11.1

Nigeria 12.3 10.8 11.7

Tanzania 10.2 5.8 12.6

Uganda 10.7 6.8 12.6

Other Africa and Middle East 10.3 11.6 12.8

AMERICAS 12.8 11.9 13.8

Argentina 8.7 7.1 11.7

Brazil 10.7 9.4 19.4

Canada 13.6 13.5 13.1

USA 13.3 12.0 13.1

Other Americas 10.5 10.5 27.2

ASIA & AUSTRALASIA 12.9 12.7 13.0

Australia 16.6 14.1 15.8

China including Hong Kong 10.1 11.1 7.0

India 16.8 14.6 20.3

Japan 7.0 6.1 9.2

New Zealand 18.5 15.4 17.4

South Korea 7.7 8.5 8.0

Other Asia and Australasia 9.8 12.7 14.4

EUROPE 15.6 14.7 13.5

Austria 15.8 15.1 13.5

Belgium 14.2 13.6 11.2

Denmark 16.4 18.0 14.7

France 11.1 11.7 11.4

Germany 17.1 16.6 15.0

Italy 13.0 12.5 13.3

Netherlands 20.4 17.1 14.2

Russian Fed 10.2 11.1 10.3

Spain 12.9 14.0 10.1

Sweden 14.1 14.0 13.6

Switzerland 15.7 14.5 12.8

UK 15.8 14.0 13.5

Other Europe 14.4 14.7 12.4

ALL FOREIGN TOURISTS 8.7 8.3 10.0

Notes:

AVERAGE LENGTH OF STAY


1.6. Appendix 6: Accommodation usage

Hotels Guest House B&B Self catering Game Lodge Backpacker Camping Train/ship Hospital

Friends and

family Other

AFRICA LAND 724 631 245 992 87 394 501 101 68 163 191 768 193 464 2 879 104 428 14 274 811 684 548

Botswana 65 390 53 465 7 493 9 572 9 179 643 436 2 591 271 726 55 735

Lesotho 34 486 6 041 14 005 18 258 47 455 4 963 5 623 696 163 457

Malawi 74 680 3 946 2 424 13 557 1 308 9 844 642 150 846 22 553

Mozambique 127 402 25 046 7 477 170 560 27 539 87 567 20 463 40 220 4 286 543 40 151

Namibia 34 658 40 431 10 546 18 245 1 345 14 221 8 179 568 9 861 284 536 31 941

Swaziland 51 009 10 605 9 207 194 003 6 226 29 024 8 271 23 903 1 048 382 78 724

Zambia 91 134 7 957 2 115 12 032 7 500 690 125 106 39 238

Zimbabwe 245 873 98 502 34 126 83 134 15 066 32 210 107 329 2 312 22 890 2 483 975 252 750

AFRICA AIR 279 684 90 746 28 195 48 342 13 461 10 435 781 167 1 189 543 849 108 913

Angola 30 873 28 604 1 464 11 771 598 70 421 1 326

Democratic Republic of Congo 12 106 2 854 406 6 330 1 472 254 81 559 19 352

Ethiopia 6 723 104 457 296 13 970

Ghana 13 734 1 063 432 5 602 2 156 15 095 12 413

Kenya 20 817 4 377 5 196 321 801 23 001 11 518

Nigeria 63 200 4 466 1 179 8 215 554 70 393 28 765

Tanzania 18 319 941 1 444 554 229 22 966 29 092

Uganda 8 836 620 4 699 477 777 16 335

Other Africa and Middle East 105 076 47 717 12 918 15 627 8 322 8 964 711 167 108 230 109 6 448

AMERICAS 370 724 103 588 71 382 100 372 125 221 89 921 21 281 2 445 1 189 319 491 90 940

Argentina 15 463 554 1 439 664 3 585 2 879 1 137 8 918

Brazil 27 934 4 027 912 5 162 6 907 4 071 618 1 045 53 914 15 965

Canada 63 498 16 436 12 559 9 988 19 340 22 486 2 837 757 42 417 3 501

USA 251 512 54 692 55 244 82 528 93 626 58 020 15 889 642 1 189 205 382 60 355

Other Americas 12 316 27 880 1 227 2 031 1 763 2 464 800 8 860 11 120

ASIA & AUSTRALASIA 274 942 70 907 29 873 108 547 38 096 9 841 2 106 2 947 159 597 414 73 279

Australia 42 817 17 816 17 298 10 472 24 566 5 012 2 018 329 222 651 2 131

China including Hong Kong 89 240 3 517 3 153 27 900 654 85 057 1 413

India 67 508 38 733 2 247 50 876 3 474 2 086 123 906 56 130

Japan 20 639 166 465 4 575 500 688 15 692 1 067

New Zealand 9 768 743 3 612 2 760 5 458 1 089 159 45 090 4 644

South Korea 11 827 643 699 23 033

Other Asia and Australasia 33 143 9 932 2 455 11 964 2 745 3 052 532 81 985 7 893

EUROPE 1 333 658 437 001 363 774 460 548 335 098 505 071 56 460 13 549 24 195 1 658 723 316 571

Austria 28 686 9 779 9 098 2 233 8 004 6 817 1 745 39 510 2 569

Belgium 34 781 21 754 10 529 8 588 7 732 7 989 3 972 31 164 4 382

Denmark 27 954 8 720 3 178 31 314 18 887 9 568 989 251 23 631 16 692

France 128 834 27 932 25 511 23 953 28 004 27 427 4 912 1 011 64 887 53 146

Germany 294 466 141 661 106 456 122 046 91 655 217 991 22 365 672 270 953 97 491

Italy 36 302 7 964 21 530 24 156 10 998 5 684 35 895 10 927

Netherlands 80 101 33 569 35 274 26 198 40 103 71 882 3 965 94 199 28 971

Russian Fed 14 614 895 783 123 1 538

Spain 17 261 3 760 1 571 4 567 6 013 3 860 1 213 140 16 802 5 156

Sweden 45 662 19 080 20 630 18 980 14 735 11 381 1 930 217 49 577 13 436

Switzerland 76 622 17 419 14 944 19 623 10 923 9 863 992 36 887 1 807

UK 397 988 110 101 90 068 155 033 70 580 96 886 10 256 8 967 24 195 847 913 56 718

Other Europe 150 387 34 368 24 985 23 855 27 386 34 942 4 000 2 245 145 768 25 276

ALL FOREIGN TOURISTS 2 983 640 948 235 580 617 1 218 910 580 038 807 036 274 092 21 987 131 160 17 394 288 1 274 252

Notes:

ACCOMMODATION USAGE - ALL FOREIGN VISITORS

2016




Friends and

family Other

AFRICA LAND 496 719 739 159 117 052 76 139 33 221 37 731 6 236 11 890 8 512 911 209 926

Botswana 31 589 34 445 4 603 7 908 2 150 425 685 196 849 18 160

Lesotho 9 190 6 095 1 285 698 595 30 471 885 327 3 326 017 26 922

Malawi 48 772 18 857 3 245 1 040 348 187 274

Mozambique 219 721 114 619 10 853 36 669 13 278 697 2 178 261

Namibia 18 350 25 513 7 602 21 923 1 048 571 4 925 1 891 79 484 20 974

Swaziland 8 126 16 743 2 102 115 8 422 1 451 1 682 885 143 353

Zambia 67 930 34 530 6 204 110 1 727 1 244 126 530

Zimbabwe 93 041 488 357 81 159 8 716 4 960 6 689 5 248 735 612 517

AFRICA AIR 186 525 81 536 44 577 13 677 14 045 9 804 1 931 464 210 20 536

Angola 31 877 13 262 6 448 1 502 551 5 859 286 91 375 9 918

Democratic Republic of Congo 10 327 3 215 3 466 117 708 32 728

Ethiopia 1 912 908 1 131 617 1 226 9 170

Ghana 10 196 4 035 1 712 1 442 556 29 370

Kenya 21 508 4 528 2 229 310 1 653 210 6 514

Nigeria 24 356 19 732 4 087 3 073 1 088 571 94 933

Tanzania 14 110 5 382 4 006 325 325 325 8 764

Uganda 7 074 2 337 1 164 649 671 154 6 055 174

Other Africa and Middle East 65 165 28 137 20 334 6 517 7 875 2 394 330 185 302 10 443

AMERICAS 245 531 130 326 97 376 93 399 53 498 39 469 14 226 1 451 247 732 61 258

Argentina 5 722 993 737 630 2 803

Brazil 21 722 5 584 5 267 4 007 3 496 2 993 306 1 177 17 440 172

Canada 33 939 25 353 17 438 25 828 10 699 11 851 505 274 60 631 2 600

USA 174 813 93 217 70 913 62 952 36 623 24 154 13 383 164 600 54 353

Other Americas 9 336 5 179 3 020 560 2 051 381 2 259 4 132

ASIA & AUSTRALASIA 217 667 89 900 39 381 40 967 24 933 17 830 2 609 15 345 445 410 39 083

Australia 42 096 16 449 10 079 13 417 8 019 8 575 375 543 189 643 3 524

China including Hong Kong 60 367 25 590 9 732 8 250 9 169 3 639 576 77 509 5 480

India 63 206 31 860 11 067 16 235 2 431 366 368 3 105 83 870 7 297

Japan 10 605 3 720 2 179 371 1 797 1 185 2 111 2 032

New Zealand 4 919 1 934 2 091 799 1 776 1 710 311 42 448 543

South Korea 9 650 2 814 1 482 687 231 1 049 7 210

Other Asia and Australasia 26 825 7 535 2 752 1 894 1 052 2 122 506 11 121 42 620 20 208

EUROPE 871 870 836 624 439 132 496 119 287 977 269 689 63 791 18 275 2 348 1 573 134 562 136

Austria 23 665 18 493 6 801 674 4 127 2 430 868 41 095 11 130

Belgium 29 233 22 246 4 860 4 187 6 504 5 004 1 409 38 018 21 084

Denmark 16 275 37 537 9 662 31 481 17 080 13 174 1 004 14 071 19 439

France 84 421 57 262 28 736 16 807 19 281 20 317 8 554 277 84 136 59 622

Germany 223 941 233 238 150 304 146 361 95 730 79 570 16 260 2 640 210 529 157 081

Italy 40 630 19 345 10 264 9 357 8 427 4 610 18 981 21 968

Netherlands 45 886 89 886 30 504 59 242 29 998 27 029 9 506 125 356 46 314

Russian Fed 4 965 2 683 544 1 752 516 5 217 2 094 697

Spain 17 457 9 716 5 735 5 294 3 246 3 399 19 689 10 916

Sweden 24 362 16 518 17 758 29 059 27 043 6 704 4 229 39 772 11 463

Switzerland 33 670 32 801 26 065 8 952 11 140 17 096 1 121 547 49 766 15 617

UK 257 427 231 996 110 905 133 035 39 146 54 619 12 837 780 871 746 716 128 244

Other Europe 69 937 64 904 36 993 49 919 25 740 35 739 8 003 9 638 555 182 913 58 560

ALL FOREIGN TOURISTS 2 018 312 1 877 546 737 518 720 302 413 673 374 523 86 863 33 689 17 674 11 243 397 892 940

Notes:


2015




Friends and

family Other

AFRICA LAND 819 174 797 150 157 980 194 447 54 260 63 061 10 140 36 371 9 114 188 336 428

Botswana 46 805 23 759 7 182 16 547 5 876 438 155 173 937 50 371

Lesotho 19 517 4 106 3 036 12 488 5 741 47 457 602 4 721 3 647 941 40 941

Malawi 83 626 18 991 4 507 236 530 3 948 155 459 7 458

Mozambique 366 649 255 836 21 223 110 411 23 967 3 935 7 457 2 952 1 642 457 4 077

Namibia 27 575 32 944 5 749 20 408 716 456 1 568 2 054 85 642 14 480

Swaziland 8 319 7 294 6 269 239 2 034 980 204 457

Zambia 102 228 10 030 1 866 339 7 582 2 892 905 119 707 170

Zimbabwe 164 455 444 189 108 147 34 018 9 847 3 935 513 25 347 1 254 064 14 473

AFRICA AIR 205 562 116 181 55 149 24 545 7 131 17 057 2 368 2 480 464 712 29 919

Angola 31 234 29 245 3 029 647 1 223 81 286 20 230

Democratic Republic of Congo 10 747 5 652 5 200 340 266 34 701 717

Ethiopia 2 963 2 416 1 556 8 197 229

Ghana 11 678 3 884 6 090 1 366 29 873

Kenya 16 708 5 230 5 866 536 1 133 879 201 12 355 523

Nigeria 37 827 26 634 8 530 7 795 355 432 111 325 1 510

Tanzania 13 010 3 317 988 2 169 286 28 349

Uganda 6 378 2 444 2 325 248 834 186 18 900 2 000

Other Africa and Middle East 75 017 37 359 21 565 14 284 4 037 14 126 1 490 603 139 726 4 709

AMERICAS 335 964 111 557 79 711 89 831 75 284 88 673 20 199 341 565 75 758

Argentina 24 677 4 667 1 629 371 1 245 972 8 382 1 216

Brazil 40 209 11 804 8 331 5 357 3 616 13 716 110 23 576 3 975

Canada 41 426 17 202 14 311 1 814 18 440 9 489 3 689 77 743 18 455

USA 217 693 75 434 55 019 82 212 51 634 63 834 16 371 224 295 42 630

Other Americas 11 959 2 449 421 349 662 7 568 9 482

ASIA & AUSTRALASIA 312 704 116 288 55 192 60 045 33 965 27 085 12 692 8 945 124 514 133 37 024

Australia 53 946 25 781 14 669 26 113 15 153 13 983 5 260 208 060 3 601

China including Hong Kong 120 527 25 742 9 562 7 163 6 324 1 198 242 103 722 13 299

India 60 537 37 932 20 791 22 297 5 717 5 249 2 277 5 044 98 094 16 394

Japan 17 877 4 700 1 913 219 652 125 10 386 658

New Zealand 7 277 3 912 1 382 205 3 442 4 453 4 562 124 39 694 1 519

South Korea 11 709 4 317 1 632 301 1 650 174 262 12 055

Other Asia and Australasia 40 833 13 903 5 244 3 748 1 027 1 902 3 901 42 122 1 553

EUROPE 1 057 746 797 163 446 947 556 127 296 460 286 368 53 788 17 169 1 204 1 629 216 462 428

Austria 25 461 10 364 8 876 5 400 3 835 3 168 743 40 657 14 103

Belgium 35 128 16 042 12 569 1 810 6 296 13 133 1 023 43 474 7 432

Denmark 13 223 20 407 12 250 25 938 12 585 17 395 3 621 31 203 1 530

France 99 064 62 332 32 735 31 729 26 091 9 686 3 746 184 80 583 4 703

Germany 241 606 243 330 131 678 159 779 61 656 43 344 17 021 266 120 151 864

Italy 43 840 25 502 9 868 22 764 8 634 8 119 601 879 586 28 843 3 926

Netherlands 54 276 112 087 62 284 108 443 37 778 31 375 9 832 237 99 630 63 619

Russian Fed 12 049 2 062 2 711 133 1 440 648 363 666 10 052 2 227

Spain 31 976 8 755 2 960 10 665 2 790 2 388 8 097

Sweden 36 875 15 217 11 429 24 278 14 336 18 117 1 018 34 692 26 387

Switzerland 31 481 29 759 22 915 18 766 14 948 27 370 2 148 46 303 15 216

UK 334 198 188 343 97 313 113 248 75 774 68 745 10 086 5 649 806 950 108 009

Other Europe 98 570 62 963 39 360 33 175 30 297 42 882 3 586 9 975 196 132 612 63 414


Notes:


2014


1.7. Appendix 7: Provincial distribution

1.7.1. Share of arrivals

Gauteng Western Cape Eastern Cape Kwazulu Natal Mpumalanga Limpopo North West Northern Cape Free State

AFRICA LAND 40.6% 2.6% 0.5% 6.2% 16.8% 18.3% 11.5% 1.0% 14.8%

Botswana 39.5% 4.0% 1.9% 16.3% 67.5% 1.2%

Lesotho 28.3% 2.0% 1.1% 3.4% 1.6% 8.6% 1.5% 57.2%

Malawi 84.9% 3.7% 10.1% 7.8% 8.3% 11.8%

Mozambique 65.6% 1.4% 47.5% 1.8% 5.9% 1.1%

Namibia 28.5% 50.8% 1.6% 3.7% 1.6% 1.0% 10.7% 11.0% 2.2%

Swaziland 22.7% 32.5% 46.7% 1.0% 1.2%

Zambia 88.1% 3.7% 12.6% 5.3% 7.6% 15.2%

Zimbabwe 36.8% 1.4% 1.8% 5.0% 55.0% 5.3%

AFRICA AIR 72.5% 25.4% 3.3% 5.6% 2.7% 0.8% 3.0% 0.4% 1.2%

Angola 75.5% 23.4% 4.3% 0.0% 1.3%


Ethiopia 78.5% 11.5% 2.3% 6.2% 2.3% 3.9%

Ghana 81.1% 13.4% 1.2% 4.2% 2.7% 8.2% 1.4%

Kenya 75.1% 17.4% 3.3% 4.1% 2.6%

Nigeria 84.8% 10.3% 4.1% 6.3% 1.5% 1.1%

Tanzania 81.4% 14.7% 4.1% 4.1% 1.4% 2.8% 5.3% 1.3% 1.3%

Uganda 88.8% 11.2% 6.5% 6.1% 1.9% 6.1% 2.7%

Other Africa and Middle East 59.2% 40.2% 4.3% 6.7% 4.7% 3.7% 1.8%

AMERICAS 49.1% 63.8% 12.9% 13.2% 21.3% 7.9% 3.5% 1.2% 1.7%

Argentina 61.4% 63.2% 27.0% 17.9% 27.6% 3.5% 7.2%

Brazil 45.9% 65.4% 11.4% 7.0% 19.3% 7.1% 7.9% 2.9% 1.1%

Canada 47.1% 68.4% 19.7% 15.2% 22.9% 5.5% 2.9% 1.2%

USA 49.0% 62.0% 11.2% 13.5% 21.0% 8.3% 2.7% 1.1% 1.5%

Other Americas 57.1% 81.8% 7.6% 2.5% 16.6% 15.7% 12.9% 12.1%

ASIA & AUSTRALASIA 64.8% 44.0% 5.5% 10.1% 6.1% 2.5% 5.0% 0.5% 2.0%

Australia 52.2% 47.9% 11.6% 13.8% 14.1% 5.9% 6.1% 3.2%

China including Hong Kong 79.8% 50.1% 2.1% 1.0%

India 57.4% 29.9% 4.2% 21.5% 4.8% 1.8% 6.5% 1.2%

Japan 66.3% 37.5% 3.8% 9.4% 4.1% 2.9% 5.8% 2.0%

New Zealand 56.2% 43.8% 17.0% 14.1% 19.7% 7.8% 5.3% 1.6% 8.7%

South Korea 82.0% 43.6% 3.0% 7.7% 1.9% 11.9%

Other Asia and Australasia 55.7% 44.8% 5.8% 10.6% 4.8% 2.5% 5.4% 1.0% 2.3%

EUROPE 38.4% 62.9% 15.5% 12.3% 13.8% 4.7% 2.8% 1.1% 1.8%

Austria 37.5% 61.5% 22.5% 11.3% 20.5% 2.1% 3.3% 2.1%

Belgium 44.5% 49.2% 16.5% 14.7% 11.3% 5.1% 2.3% 1.3%

Denmark 40.0% 52.5% 20.6% 11.1% 14.1% 15.2% 1.1% 2.2%

France 49.6% 60.4% 8.1% 13.7% 19.7% 4.4% 2.4% 1.2%

Germany 39.8% 67.3% 22.6% 15.3% 19.0% 5.2% 2.8% 1.1% 3.0%

Italy 38.3% 53.8% 9.8% 7.0% 7.7% 7.6% 1.6% 2.0%

Netherlands 38.1% 65.9% 20.2% 14.4% 22.7% 6.9% 3.7% 1.4% 1.8%

Russian Fed 58.3% 57.9% 6.5% 2.3% 2.2% 2.3%

Spain 37.3% 61.4% 11.8% 5.4% 13.8% 5.5% 2.9%

Sweden 36.6% 63.8% 19.6% 13.9% 17.4% 3.4% 3.4% 2.7%

Switzerland 28.2% 77.1% 27.5% 17.3% 17.1% 5.1% 2.6%

UK 34.1% 64.0% 10.8% 10.6% 7.9% 3.3% 2.8% 1.5%

Other Europe 43.1% 53.2% 11.7% 8.7% 9.8% 4.6% 4.2% 1.8% 2.6%

ALL FOREIGN TOURISTS 42.5% 16.4% 3.5% 7.5% 15.6% 14.7% 9.4% 1.0% 11.4%

Notes:

PROVINCIAL DISTRIBUTION - SHARE OF ARRIVALS*

2016




AFRICA LAND 39.2% 2.6% 0.2% 5.7% 11.1% 23.0% 5.6% 1.4% 13.0%

Botswana 36.7% 2.5% 2.2% 1.2% 57.3% 1.2%

Lesotho 30.7% 1.1% 4.9% 1.0% 5.0% 58.5%

Malawi 89.6% 3.2% 3.5% 1.7% 5.1%

Mozambique 75.7% 2.1% 23.1%

Namibia 7.4% 48.1% 44.4%

Swaziland 20.6% 32.0% 45.7% 1.1%

Zambia 93.2% 3.2% 3.7% 2.1% 1.6%

Zimbabwe 24.4% 2.1% 72.9%

AFRICA AIR 61.9% 21.0% 3.8% 10.1% 3.1% 1.6% 2.3% 0.8% 1.3%

Angola 64.4% 30.1% 5.4% 2.1%

Democratic Republic of Congo 70.7% 14.1% 10.6% 3.4% 3.3% 3.4% 1.4%

Ethiopia 57.3% 9.0% 4.0% 13.9% 10.7% 4.4% 2.1% 1.1% 2.1%

Ghana 67.9% 7.2% 4.7% 11.5% 4.5% 1.4% 1.4% 4.0%

Kenya 71.4% 12.7% 6.6% 7.9% 2.1% 1.3% 2.0%

Nigeria 76.6% 11.6% 4.9% 8.1% 2.0% 1.5%

Tanzania 69.4% 12.6% 2.6% 11.3% 2.6% 2.0%

Uganda 57.8% 13.6% 2.8% 7.4% 9.5% 4.8% 2.0% 1.4% 1.3%

Other Africa and Middle East 47.9% 29.5% 5.5% 13.6% 4.3% 2.6% 2.7% 1.6% 1.8%

AMERICAS 38.1% 53.0% 16.0% 13.5% 17.1% 5.8% 4.7% 1.4% 1.3%

Argentina 41.9% 39.2% 5.6% 14.6% 19.4% 4.3% 13.0%

Brazil 48.9% 47.5% 13.5% 10.1% 13.8% 4.3% 8.6% 1.2%

Canada 27.2% 58.1% 18.5% 16.9% 16.2% 6.5% 3.3% 1.4%

USA 39.6% 52.6% 16.0% 13.2% 17.5% 5.8% 4.4% 1.4% 1.6%

Other Americas 32.6% 55.7% 14.2% 9.6% 17.1% 4.9% 2.1% 2.3% 1.4%


Australia 36.1% 52.7% 11.1% 12.2% 8.4% 6.0% 4.7% 1.5% 3.6%

China including Hong Kong 39.3% 45.4% 3.1% 8.9% 9.7% 2.6% 8.2% 3.0%

India 37.9% 27.3% 5.8% 28.3% 5.9% 1.7% 3.6% 1.3%

Japan 34.3% 47.1% 4.2% 8.7% 9.8% 3.1% 6.3%

New Zealand 34.0% 42.0% 13.1% 19.2% 15.6% 7.1% 8.7% 3.4%

South Korea 48.5% 27.0% 9.0% 11.1% 10.1% 2.0% 15.1% 5.6% 4.4%

Other Asia and Australasia 33.3% 44.0% 6.1% 13.1% 7.2% 3.0% 3.2% 1.7% 3.7%

EUROPE 24.0% 61.4% 16.4% 13.6% 14.2% 4.5% 3.6% 2.2% 1.8%

Austria 27.9% 54.0% 13.8% 12.0% 14.4% 2.4% 6.9% 2.4% 2.1%

Belgium 18.3% 58.3% 16.9% 13.2% 23.7% 7.1% 3.0% 2.0% 1.4%

Denmark 18.5% 65.5% 14.4% 14.1% 16.9% 5.6% 3.2% 2.2%

France 32.4% 58.7% 11.6% 14.3% 19.3% 6.1% 2.7% 1.3%

Germany 24.9% 68.9% 22.7% 16.5% 20.4% 4.3% 3.2% 1.8%

Italy 32.9% 54.4% 19.6% 13.1% 13.2% 5.1% 7.0%

Netherlands 13.9% 72.2% 19.4% 14.2% 16.6% 5.6% 3.5% 3.4% 3.7%

Russian Fed 39.0% 21.8% 11.7% 14.2% 12.8% 6.5% 2.7% 6.0% 2.0%

Spain 25.3% 53.3% 13.6% 12.7% 11.0% 3.3% 3.7% 6.4% 2.0%

Sweden 34.1% 30.9% 16.3% 17.4% 23.7% 15.3% 7.7% 2.7% 3.3%

Switzerland 20.9% 58.6% 27.6% 16.5% 14.2% 6.1% 3.6% 5.1% 1.2%

UK 20.5% 65.1% 11.6% 10.5% 7.7% 2.9% 3.2% 1.9% 1.2%

Other Europe 29.5% 44.9% 17.2% 14.8% 11.1% 3.4% 3.9% 3.1% 5.6%


Notes:


2015




AFRICA LAND 40.6% 3.2% 0.8% 5.8% 12.5% 21.6% 4.2% 1.6% 12.7%

Botswana 43.5% 2.7% 5.3% 1.2% 3.1% 42.7% 1.6%

Lesotho 34.9% 1.5% 1.0% 2.0% 5.0% 54.9%

Malawi 92.6% 2.3% 7.5% 4.1%

Mozambique 65.3% 5.0% 1.0% 33.4%

Namibia 7.3% 43.4% 51.3%

Swaziland 24.2% 30.4% 42.7% 1.2%

Zambia 87.0% 3.7% 1.8% 6.8% 1.7% 2.7%

Zimbabwe 30.9% 1.1% 2.4% 1.4% 66.4%

AFRICA AIR 65.1% 21.7% 4.5% 8.1% 2.6% 1.6% 2.4% 0.6% 1.5%

Angola 63.7% 26.8% 1.3% 6.7% 1.4% 2.6% 1.4%

Democratic Republic of Congo 79.3% 10.0% 1.3% 5.3% 4.0% 2.7% 2.6% 4.0%

Ethiopia 67.7% 15.3% 1.0% 13.5% 3.4% 4.6% 2.0%

Ghana 76.2% 8.6% 7.3% 8.6% 4.0% 1.9% 4.0%

Kenya 69.0% 14.4% 2.6% 8.6% 4.0% 2.0% 1.3%

Nigeria 78.2% 16.0% 2.3% 5.4% 1.3% 1.3%

Tanzania 71.6% 14.7% 3.8% 7.3% 1.3% 1.3% 1.3% 1.3%

Uganda 67.2% 9.7% 4.1% 11.1% 5.2% 2.0% 2.0%

Other Africa and Middle East 52.3% 30.8% 8.0% 9.9% 3.3% 2.5% 2.7% 1.2% 1.5%

AMERICAS 46.5% 49.4% 11.1% 12.9% 14.6% 6.4% 4.0% 1.7% 2.0%

Argentina 44.6% 59.2% 6.9% 12.5% 10.0% 3.2% 9.9% 2.3% 1.2%

Brazil 51.8% 52.4% 5.9% 7.8% 11.1% 1.5% 7.2% 2.0% 1.1%

Canada 41.1% 55.0% 11.3% 15.3% 18.3% 3.7% 2.7% 1.4% 1.3%

USA 47.7% 46.4% 12.4% 13.5% 15.2% 8.3% 3.4% 1.7% 2.4%

Other Americas 34.6% 57.0% 9.3% 7.5% 4.7% 2.6% 3.7% 1.8%


Australia 39.1% 47.1% 13.5% 18.8% 11.1% 5.8% 4.9% 2.4% 4.0%

China including Hong Kong 63.0% 72.8% 4.9% 8.1% 7.0% 1.5% 33.8%

India 46.9% 31.6% 5.0% 27.5% 4.7% 3.3% 4.3% 1.4%

Japan 43.2% 52.4% 2.4% 6.8% 4.8% 3.6%

New Zealand 41.7% 43.2% 3.6% 22.6% 15.4% 1.9% 5.2% 2.2% 2.0%

South Korea 49.3% 24.2% 7.9% 15.4% 8.2% 3.4% 10.6%

Other Asia and Australasia 38.3% 39.4% 5.9% 13.1% 7.2% 3.9% 4.9% 1.1%

EUROPE 29.0% 61.2% 14.6% 13.7% 11.6% 4.5% 3.5% 1.5% 1.6%

Austria 38.7% 51.3% 11.5% 13.2% 10.5% 7.4% 4.5% 3.3%

Belgium 25.5% 55.9% 14.7% 16.7% 16.8% 1.2% 3.9% 2.0% 2.0%

Denmark 17.4% 65.7% 20.8% 14.1% 16.5% 6.9% 9.6% 3.0%

France 33.2% 54.9% 12.5% 17.2% 18.2% 3.8% 2.8% 2.1%

Germany 28.2% 65.9% 18.4% 14.1% 11.0% 3.2% 2.5% 1.2% 1.1%

Italy 39.6% 49.7% 16.2% 9.6% 10.2% 5.6% 3.5% 1.5% 1.5%

Netherlands 17.6% 76.6% 22.5% 13.1% 16.8% 6.8% 3.1% 2.3% 2.4%

Russian Fed 41.0% 31.9% 9.0% 13.8% 8.1% 4.2% 5.7% 3.3% 2.8%

Spain 35.9% 57.8% 8.0% 11.3% 9.9% 2.0% 4.9% 4.7% 3.6%

Sweden 42.1% 28.3% 11.5% 19.6% 15.3% 9.3% 3.8% 2.7%

Switzerland 38.8% 59.4% 20.3% 20.3% 15.3% 8.3% 5.7% 1.9% 2.3%

UK 26.2% 66.1% 11.3% 11.2% 8.0% 3.6% 3.5% 1.1% 1.3%

Other Europe 32.4% 50.9% 11.4% 14.4% 11.0% 5.2% 3.5% 1.7% 2.6%


Notes:


2014


1.7.2. Bednights


AFRICA LAND 7 162 408 661 957 93 390 903 138 2 254 001 1 393 371 1 631 914 151 481 2 827 519

Botswana 210 580 3 561 4 781 17 647 9 376 55 971 166 398 4 995 2 922

Lesotho 1 944 395 201 750 51 134 45 954 77 998 6 044 753 117 85 430 2 746 535

Malawi 205 989 31 567 19 291 3 319 1 804 17 831

Mozambique 2 849 489 30 194 11 505 24 428 1 355 898 108 177 385 175 595 67 508

Namibia 97 737 269 134 5 699 9 642 4 778 1 017 24 426 34 573 7 525

Swaziland 281 372 4 099 687 793 479 288 5 396 1 405

Zambia 201 735 16 422 190 23 001 11 931 18 562 12 914 1 018

Zimbabwe 1 371 111 105 231 20 082 75 382 311 413 1 196 400 272 053 25 889 605

AFRICA AIR 725 315 244 079 35 689 55 775 12 902 18 277 19 277 6 629 7 821

Angola 107 170 31 584 409 4 835 197 561 238

Democratic Republic of Congo 98 272 6 609 6 282 8 525 4 645

Ethiopia 18 691 1 477 522 391 139 401

Ghana 34 521 9 797 127 3 713 433 1 903

Kenya 49 422 5 405 7 503 966 1 513 1 222

Nigeria 145 917 11 655 8 772 5 791 2 521 280 1 835

Tanzania 49 854 4 440 795 1 043 7 141 7 812 2 156 223

Uganda 22 005 1 572 2 249 5 413 143 158 202

Other Africa and Middle East 199 463 171 540 15 311 27 342 7 875 1 109 4 199 4 235 5 094

AMERICAS 280 670 579 780 106 838 87 555 120 256 77 178 17 556 5 826 20 897

Argentina 10 231 15 074 2 803 1 580 3 149 724 1 078

Brazil 34 416 45 449 4 555 4 249 20 982 4 050 2 797 1 827 2 230

Canada 36 745 92 234 22 014 14 628 16 921 4 897 4 683 385 1 314

USA 172 051 395 599 75 170 66 739 77 107 66 837 8 682 3 575 13 319

Other Americas 27 227 31 425 2 295 358 2 096 670 316 4 034

ASIA & AUSTRALASIA 562 364 333 639 55 928 99 988 59 268 36 456 37 325 5 372 17 771

Australia 103 648 115 168 29 422 31 120 23 650 20 049 10 199 2 714 9 140

China including Hong Kong 104 552 98 265 3 399 544 871 2 161 1 143

India 205 684 40 161 6 262 37 376 23 248 9 901 20 249 552 1 526

Japan 18 962 15 785 1 007 5 084 513 1 286 783 124 248

New Zealand 25 756 18 434 5 322 11 308 5 883 2 039 375 482 3 724

South Korea 20 685 6 818 1 880 5 583 431 806


EUROPE 1 039 672 2 879 197 510 303 375 915 280 466 231 553 71 199 66 353 49 988

Austria 14 075 65 801 9 954 7 198 7 176 1 287 1 861 1 089

Belgium 26 921 54 548 17 771 11 348 9 628 7 785 1 829 282 778

Denmark 15 801 81 080 19 643 3 723 6 297 13 407 105 1 128

France 94 613 178 792 28 235 24 056 28 731 10 180 4 445 14 591 1 973

Germany 194 739 702 614 175 446 101 695 86 504 62 389 15 331 9 297 17 741

Italy 30 381 88 781 8 348 4 418 3 909 11 088 797 4 801 977

Netherlands 58 479 235 287 35 434 27 663 32 459 14 837 6 418 2 186 1 501

Russian Fed 10 376 6 467 863 123 123

Spain 10 890 33 029 4 046 1 557 3 858 2 754 4 112

Sweden 54 257 91 728 19 787 11 764 10 968 3 783 1 801 434 1 105

Switzerland 17 703 109 891 32 194 11 780 9 486 4 410 1 938 1 226 452

UK 374 166 1 017 423 127 427 136 318 64 036 80 630 28 098 24 553 16 056

Other Europe 137 272 213 757 31 156 34 271 17 337 18 881 8 577 3 743 8 219


Notes:

PROVINCIAL DISTRIBUTION - BEDNIGHTS

2016




AFRICA LAND 4 710 446 291 460 39 076 822 455 1 507 301 619 534 450 817 67 789 1 732 105

Botswana 129 311 21 258 135 7 834 142 581 133 701 169 3 684

Lesotho 1 153 496 49 520 118 183 74 114 133 263 608 19 901 1 723 458

Malawi 205 323 20 206 3 833 12 279 8 021 9 724 150

Mozambique 2 055 462 52 966 5 885 25 655 428 044 4 186 532 1 368

Namibia 15 069 114 140 231 2 671 253 557 1 438 47 718 203

Swaziland 291 173 551 13 038 599 838 915 950 11 627 30 074 946

Zambia 195 497 9 900 749 20 233 6 927 2 074 2 895

Zimbabwe 665 114 22 918 15 134 35 764 73 852 590 651 18 419 2 447

AFRICA AIR 394 635 245 072 35 188 93 139 25 007 10 949 13 994 7 155 11 770

Angola 64 948 76 288 15 157 1 653 2 746 286

Democratic Republic of Congo 31 747 5 934 7 982 2 141 1 527 558 105 567

Ethiopia 7 137 1 095 459 2 442 2 964 652 180 108

Ghana 26 386 5 937 4 165 6 003 1 713 787 262 2 060

Kenya 24 641 5 176 3 019 2 547 619 281 669

Nigeria 103 066 13 883 10 166 13 789 3 216 560 1 353 1 806

Tanzania 21 300 3 984 1 023 3 767 181 163 1 554 1 041 227

Uganda 9 181 3 763 422 1 235 1 509 1 002 306 345 516


AMERICAS 198 373 427 275 105 647 86 428 81 049 36 114 28 738 10 819 10 107

Argentina 2 468 3 586 445 2 392 1 172 268 698

Brazil 12 852 31 766 6 363 3 543 3 614 1 322 2 370 335

Canada 25 126 84 480 21 946 25 053 19 082 7 826 3 241 1 647 716

USA 154 705 292 728 74 653 53 487 54 613 25 995 22 017 8 314 8 779

Other Americas 3 223 14 715 2 240 1 953 2 568 703 412 523 612


Australia 70 936 127 029 23 201 26 756 14 826 12 633 3 850 3 247 10 242

China including Hong Kong 53 633 94 922 5 018 12 938 10 402 3 486 9 011 8 884 2 018

India 82 332 57 552 8 588 52 934 10 256 3 248 2 819 662 1 414

Japan 4 598 12 443 820 2 634 1 645 739 914 209

New Zealand 10 793 21 873 8 433 6 121 3 531 2 636 2 197 947

South Korea 8 362 4 234 1 598 2 627 1 874 278 2 305 1 071 773


EUROPE 649 979 2 919 828 525 517 444 218 359 085 230 827 92 482 106 018 93 142

Austria 13 559 58 979 10 327 14 666 5 707 781 2 628 1 745 891

Belgium 12 587 77 762 8 638 7 716 14 304 7 112 1 944 2 128 354

Denmark 7 267 86 544 7 289 27 390 17 700 4 454 2 396 993 5 688

France 60 729 195 022 25 130 32 029 36 644 20 299 4 136 2 977 2 446

Germany 127 678 752 141 140 087 93 382 99 270 69 483 14 145 11 414 8 056

Italy 16 681 69 288 16 382 10 873 8 592 5 396 6 005 157 209

Netherlands 19 835 285 147 44 730 36 969 27 282 20 255 5 333 9 761 14 505

Russian Fed 3 425 2 280 3 184 4 695 1 390 1 485 369 1 120 520

Spain 12 996 30 179 6 129 6 132 3 161 6 491 2 040 7 734 592

Sweden 27 230 35 779 29 633 22 552 21 088 27 767 7 233 1 388 4 238

Switzerland 26 632 93 269 32 057 15 206 8 744 4 185 3 976 11 225 1 480

UK 226 771 1 027 486 134 166 118 602 77 408 50 266 25 961 33 582 22 333

Other Europe 94 589 205 952 67 763 54 006 37 795 12 854 16 316 21 794 31 831

ALL FOREIGN TOURISTS 6 201 503 4 262 177 761 409 1 562 018 2 020 509 921 862 608 607 208 573 1 870 064

Notes:


2015




AFRICA LAND 5 263 391 453 345 135 993 884 830 1 473 854 810 107 392 253 91 124 2 078 300

Botswana 145 117 27 853 12 353 22 200 5 607 12 483 95 252 109 4 095

Lesotho 1 268 185 79 471 37 094 53 755 24 958 4 184 246 166 25 161 2 047 576

Malawi 214 281 11 699 3 371 38 369 572 5 571 382 510

Mozambique 1 853 755 125 065 13 058 17 635 407 479 861 2 983 18 131

Namibia 23 280 109 502 1 448 5 312 1 179 782 49 240 847

Swaziland 595 761 10 565 18 616 618 585 967 067 18 540 16 254 15 698 472

Zambia 190 157 16 014 4 468 18 531 1 872 3 006 11 275 396

Zimbabwe 972 855 73 177 45 584 110 443 65 119 764 680 19 941 519 6 669

AFRICA AIR 550 021 213 276 48 048 63 774 15 422 9 224 13 785 4 984 6 570

Angola 84 763 69 400 1 676 7 532 612 522 1 472 917

Democratic Republic of Congo 44 378 5 069 1 142 2 596 1 927 1 102 417 991

Ethiopia 9 672 1 726 409 2 268 787 513 131

Ghana 36 552 3 083 5 163 4 471 1 433 422 1 339 162 267

Kenya 29 807 5 734 1 619 3 372 1 239 586 749 322

Nigeria 150 312 28 038 4 148 4 154 2 445 1 459 2 346 1 007 500

Tanzania 33 068 6 829 2 166 4 313 349 245 737 317

Uganda 18 488 5 988 1 047 5 784 1 071 636 200 104


AMERICAS 257 755 513 471 104 748 129 503 98 720 49 983 28 862 12 853 22 645

Argentina 9 087 23 620 2 528 2 832 1 816 634 1 671 727 243

Brazil 26 365 61 725 7 009 5 203 4 561 739 3 772 716 606

Canada 42 132 104 083 12 941 21 556 14 067 1 903 3 567 1 336 984

USA 173 509 303 017 81 089 98 170 77 669 46 338 19 135 10 027 20 168

Other Americas 6 663 21 026 1 181 1 742 607 369 717 644


Australia 73 323 130 144 45 608 54 527 16 030 14 898 10 128 6 692 15 218

China including Hong Kong 72 728 164 458 8 064 20 561 7 879 6 698 6 584 807

India 99 812 80 352 13 454 60 818 8 728 3 834 3 721 2 439 1 173

Japan 7 294 23 147 812 2 645 1 192 207 1 109 125

New Zealand 19 060 22 879 1 475 12 519 5 100 406 3 242 1 448 441

South Korea 12 735 5 835 2 226 5 893 3 381 455 1 413 112

Other Asia and Australasia 24 369 47 532 3 548 19 568 8 638 6 024 3 021 549 1 070

EUROPE 852 201 3 131 697 465 680 478 200 276 535 173 289 77 021 59 466 90 526

Austria 36 141 46 746 10 954 8 648 3 869 3 808 1 272 1 169

Belgium 15 203 76 162 15 617 9 602 7 769 417 6 308 4 271 1 557

Denmark 11 076 71 392 12 815 21 868 9 577 4 133 5 201 2 092

France 58 338 158 098 28 397 32 466 31 120 26 157 5 501 4 104 6 672

Germany 164 338 795 997 131 813 114 052 45 092 19 076 12 455 7 837 25 739

Italy 44 400 65 161 15 575 7 639 5 265 7 565 2 449 4 483 1 025

Netherlands 32 257 406 057 45 758 25 408 29 891 24 467 4 799 4 647 6 276

Russian Fed 10 313 8 393 1 620 4 794 2 046 595 2 340 1 548 700

Spain 8 458 36 604 1 724 6 218 1 841 553 776 8 180 3 278

Sweden 59 994 31 526 13 269 34 309 13 605 23 052 2 855 2 300 1 439

Switzerland 34 156 114 447 14 828 16 392 10 322 6 713 6 997 3 594 1 454

UK 268 441 1 059 470 147 850 140 483 94 385 43 224 18 645 8 565 27 252

Other Europe 109 086 261 642 25 462 56 322 21 755 13 528 7 423 7 846 13 966

ALL FOREIGN TOURISTS 7 232 690 4 786 134 829 656 1 732 838 1 915 479 1 075 125 541 139 180 598 2 215 994

Notes:


2014


1.7.3. Appendix 11: Provincial Spread

2014 2015 2016

AFRICA LAND 2.6% 1.7% 11.0%

Botswana 0.9% 1.2% 27.0%

Lesotho 0.4% 1.7% 3.8%

Malawi 7.4% 3.9% 20.6%

Mozambique 4.8% 2.3% 24.0%

Namibia 4.1% 1.3% 9.2%

Swaziland 0.9% 0.2% 3.6%

Zambia 4.4% 3.9% 19.0%

Zimbabwe 3.3% 1.7% 5.7%

AFRICA AIR 6.4% 4.6% 11.4%

Angola 3.7% 2.5% 6.4%

Democratic Republic of Congo 7.3% 6.1% 11.6%

Ethiopia 7.6% 3.5% 4.7%

Ghana 9.9% 2.6% 10.8%

Kenya 2.6% 3.9% 4.1%

Nigeria 5.5% 5.4% 8.1%

Tanzania 2.6% 2.6% 9.5%

Uganda 2.0% 0.7% 21.3%

Other Africa and Middle East 9.1% 6.2% 15.8%

AMERICAS 31.5% 31.3% 43.6%

Argentina 31.7% 24.5% 58.6%

Brazil 28.2% 30.9% 43.2%

Canada 28.7% 32.5% 44.0%

USA 33.5% 31.5% 42.5%


ASIA & AUSTRALASIA 30.2% 16.9% 29.9%

Australia 29.7% 23.1% 37.1%


India 16.3% 10.2% 17.5%

Japan 11.4% 12.4% 22.0%

New Zealand 27.0% 28.1% 42.6%

South Korea 11.6% 19.8% 35.2%


EUROPE 27.2% 27.5% 31.4%

Austria 26.3% 26.1% 38.1%

Belgium 24.6% 28.8% 30.7%

Denmark 34.6% 28.2% 36.2%

France 28.2% 29.8% 33.1%

Germany 30.6% 38.4% 38.2%

Italy 22.8% 28.7% 18.2%

Netherlands 38.0% 32.5% 41.1%

Russian Fed 14.5% 12.7% 27.5%

Spain 31.1% 25.7% 26.4%

Sweden 24.2% 36.7% 36.4%

Switzerland 32.1% 34.0% 41.4%

UK 23.2% 17.8% 24.8%

Other Europe 23.5% 25.4% 26.8%

ALL FOREIGN TOURISTS 8.8% 7.7% 16.0%

Notes:

PROVINCIAL SPREAD: PROPORTION OF TOURISTS WHO VISIT MORE THAN ONE PROVINCE


1.8. Appendix 8: Activities undertaken by tourists

Shopping Nightlife Eating Out Entertainment Social

Visiting natural

attractions Beach

Cultural,

historical and

heritage Business Wildlife Church Trading Theme parks Adventure

Education

training study

AFRICA LAND 56.4% 8.2% 27.1% 7.5% 44.5% 3.3% 3.3% 2.3% 5.1% 0.9% 12.5% 7.3% 1.0% 0.6% 3.7%

Botswana 42.5% 14.1% 48.8% 9.2% 34.2% 1.1% 1.9% 2.3% 8.2% 1.4% 12.7% 13.9% 1.2% 3.3%

Lesotho 42.2% 8.1% 25.8% 7.7% 60.6% 2.1% 1.4% 2.4% 19.8% 1.7% 6.9%

Malawi 65.2% 4.9% 39.7% 5.0% 17.8% 2.1% 6.0% 5.4% 10.2% 9.4% 26.1% 1.1% 1.2%

Mozambique 67.7% 13.9% 23.2% 14.7% 80.2% 7.2% 1.3% 4.5% 1.3% 9.9% 6.8% 2.6% 1.7%

Namibia 42.1% 7.9% 39.2% 4.6% 32.1% 14.4% 30.4% 2.0% 11.1% 1.7% 4.4% 4.1% 1.6% 5.1%

Swaziland 32.9% 6.6% 12.9% 4.4% 40.5% 2.1% 8.9% 2.9% 8.7% 3.2% 9.1% 6.4% 1.7% 4.9%

Zambia 66.0% 5.4% 39.7% 5.6% 20.7% 4.1% 7.0% 2.8% 19.9% 9.0% 25.1% 1.2% 1.1% 3.5%

Zimbabwe 74.6% 3.8% 27.4% 3.9% 15.6% 1.8% 1.5% 1.9% 5.8% 10.3% 8.7% 1.8%

AFRICA AIR 80.4% 8.3% 68.0% 10.6% 38.2% 19.8% 13.2% 16.5% 33.7% 9.0% 8.3% 0.8% 6.9% 3.7% 10.6%

Angola 87.7% 15.7% 86.7% 15.3% 43.2% 16.0% 14.2% 12.7% 19.0% 2.5% 1.6% 10.7% 7.7%

Democratic Republic of Congo 84.8% 6.9% 74.3% 16.6% 70.0% 7.8% 6.0% 10.0% 18.5% 29.5% 1.1% 14.1%

Ethiopia 80.9% 6.2% 44.7% 3.8% 30.0% 20.0% 10.0% 6.1% 43.8% 2.3% 3.9% 6.2% 13.9%

Ghana 79.7% 12.2% 60.4% 6.6% 33.6% 12.2% 8.0% 14.6% 39.1% 12.0% 9.6% 2.8% 8.0%

Kenya 76.8% 5.0% 50.8% 5.9% 25.9% 7.4% 6.5% 9.1% 54.1% 5.8% 3.3% 1.7% 6.6% 4.9% 18.2%

Nigeria 79.6% 8.8% 54.1% 12.9% 44.8% 9.6% 8.1% 15.9% 33.4% 4.5% 10.4% 4.8% 1.5% 8.9%

Tanzania 86.8% 8.0% 64.2% 6.8% 29.2% 9.5% 6.7% 14.6% 39.7% 2.6% 1.4% 1.4% 5.5% 24.3%

Uganda 78.9% 6.5% 56.6% 5.9% 35.4% 11.2% 10.5% 17.2% 44.0% 6.7% 11.4% 2.1% 6.1% 2.1% 25.9%

Other Africa and Middle East 77.3% 6.0% 72.7% 9.4% 33.2% 32.8% 19.3% 21.5% 35.2% 16.5% 8.4% 8.2% 7.6% 7.2%

AMERICAS 74.2% 14.9% 78.8% 12.9% 30.6% 60.8% 42.6% 51.5% 23.1% 50.9% 2.2% 1.4% 19.4% 21.2% 5.3%

Argentina 86.3% 25.4% 97.2% 5.6% 20.7% 76.7% 52.6% 72.8% 20.2% 69.8% 14.4% 33.7% 0.0%

Brazil 80.6% 22.6% 89.5% 17.4% 25.4% 64.7% 48.5% 45.7% 31.7% 53.5% 3.3% 2.0% 16.6% 19.0% 11.0%

Canada 75.2% 9.4% 80.4% 10.8% 24.9% 64.5% 41.9% 51.0% 22.2% 57.5% 2.2% 1.7% 23.7% 24.6% 1.2%

USA 72.5% 14.1% 76.1% 12.5% 32.4% 58.4% 41.0% 50.7% 22.7% 48.0% 2.2% 1.3% 18.9% 19.6% 5.5%

Other Americas 82.4% 38.2% 92.4% 33.7% 40.8% 74.2% 64.0% 62.8% 21.3% 61.9% 22.9% 34.2% 16.6%

ASIA & AUSTRALASIA 78.2% 7.5% 76.5% 12.1% 34.9% 41.0% 20.5% 19.5% 30.0% 22.8% 2.5% 0.4% 23.2% 6.6% 2.1%

Australia 74.8% 16.1% 78.8% 23.6% 61.3% 50.2% 37.9% 34.0% 10.3% 37.4% 5.3% 17.7% 12.2% 3.1%

China including Hong Kong 79.8% 1.0% 77.7% 3.2% 11.6% 44.3% 3.3% 6.4% 22.0% 14.7% 37.2% 2.2%

India 74.8% 6.6% 68.6% 14.2% 37.6% 25.1% 23.0% 18.1% 66.9% 15.6% 4.2% 14.0% 5.5% 4.0%

Japan 81.9% 1.9% 79.3% 2.8% 11.8% 33.2% 21.2% 21.3% 42.5% 18.4% 16.3% 1.1%

New Zealand 75.2% 15.0% 85.8% 17.5% 60.2% 50.7% 28.1% 31.5% 23.9% 48.1% 4.4% 17.4% 18.9% 1.6%

South Korea 86.7% 4.8% 83.8% 15.5% 41.2% 46.7% 22.8% 18.2% 11.2% 27.6% 3.0% 26.7% 6.0%

Other Asia and Australasia 82.4% 10.0% 72.9% 10.8% 40.0% 35.6% 25.7% 24.7% 38.7% 17.3% 1.5% 13.6% 7.2% 3.0%

EUROPE 74.3% 14.2% 79.2% 11.6% 33.0% 58.0% 41.4% 39.3% 25.5% 43.2% 1.5% 0.3% 16.0% 20.6% 3.2%

Austria 80.0% 8.9% 81.3% 7.8% 30.8% 71.5% 48.4% 45.8% 24.3% 54.6% 1.1% 13.0% 32.9% 4.4%

Belgium 65.6% 9.5% 68.2% 8.6% 24.1% 52.6% 36.7% 33.2% 34.3% 45.6% 2.1% 12.3% 23.5% 4.2%

Denmark 71.8% 11.8% 74.2% 11.4% 23.6% 54.8% 41.4% 46.2% 25.6% 55.2% 13.7% 28.1% 5.7%

France 76.8% 9.5% 78.3% 5.7% 16.5% 58.4% 34.4% 43.1% 29.8% 49.4% 18.7% 19.4% 2.8%

Germany 73.4% 14.8% 80.2% 12.2% 31.2% 64.9% 44.6% 45.2% 22.7% 51.1% 1.1% 16.4% 24.6% 3.7%

Italy 52.9% 11.2% 56.2% 9.8% 19.2% 38.7% 30.4% 30.2% 33.8% 31.6% 2.6% 15.0% 16.1% 4.1%

Netherlands 79.8% 14.5% 82.9% 10.5% 30.8% 63.6% 48.9% 45.3% 20.5% 54.3% 20.5% 29.9% 2.3%

Russian Fed 62.3% 9.0% 80.4% 4.3% 22.9% 24.7% 15.8% 77.6% 6.7% 2.3% 6.7% 4.5%

Spain 66.5% 15.5% 74.0% 11.9% 27.6% 50.8% 34.0% 41.9% 33.0% 46.9% 19.0% 22.1% 4.9%

Sweden 76.4% 11.3% 86.4% 10.3% 22.3% 57.6% 43.6% 42.1% 33.7% 49.0% 22.8% 19.0% 2.0%

Switzerland 83.1% 15.8% 81.6% 8.1% 28.0% 71.9% 51.4% 54.4% 19.2% 46.2% 1.0% 23.1% 23.9% 2.9%

UK 73.9% 16.6% 79.5% 14.7% 45.3% 54.4% 41.1% 33.2% 21.2% 33.2% 2.4% 13.5% 15.9% 2.1%

Other Europe 77.5% 12.8% 81.5% 9.9% 26.3% 52.8% 35.6% 35.2% 38.3% 41.5% 1.8% 15.3% 17.7% 5.6%

ALL FOREIGN TOURISTS 61.4% 9.3% 40.1% 8.6% 41.7% 15.7% 11.5% 10.9% 10.7% 10.3% 9.9% 5.5% 4.9% 4.7% 3.8%

Notes:

Blank cells indicate that the sample is not big enough for a valid statistical interpretation. Eating out, Entertainment and Church added in 2016 questionnaire to provide more detail.

ACTIVITIES UNDERTAKEN WHILE IN SOUTH AFRICA

2016



Visiting natural

attractions Beach

Cultural,

historical and


Education

training study

AFRICA LAND 88.0% 78.3% 61.6% 3.4% 3.3% 4.3% 5.8% 0.6% 4.4% 2.7% 0.5% 2.0%

Botswana 60.6% 56.7% 65.3% 1.2% 1.7% 1.1% 11.5% 12.0% 2.6%

Lesotho 74.4% 51.6% 89.6% 1.9% 1.3% 11.9% 3.1% 4.7% 1.7%

Malawi 96.6% 94.7% 53.3% 11.1% 4.1% 6.4% 8.7% 18.7% 3.3% 3.2%

Mozambique 96.5% 82.0% 68.7% 1.4% 3.7% 1.5% 1.3%

Namibia 46.4% 38.4% 48.4% 11.1% 16.0% 3.2% 16.6% 2.0% 14.8% 6.4% 2.7% 6.9%

Swaziland 95.7% 95.1% 87.2% 1.4% 15.6% 1.2% 2.0% 8.0% 4.3% 8.0%

Zambia 90.4% 87.5% 36.3% 11.8% 4.4% 8.7% 14.4% 2.2% 15.5% 12.2% 2.3%

Zimbabwe 97.7% 94.5% 30.5% 5.3% 2.1% 7.5% 3.4%

AFRICA AIR 74.3% 67.6% 32.7% 22.4% 16.9% 24.7% 37.0% 9.6% 1.1% 17.0% 7.6% 8.9%

Angola 70.3% 64.5% 32.9% 24.6% 17.0% 23.3% 33.8% 7.1% 1.7% 17.2% 10.4% 6.9%

Democratic Republic of Congo 79.9% 73.2% 41.9% 15.0% 11.5% 22.2% 43.5% 8.3% 17.5% 4.2% 4.6%

Ethiopia 74.8% 54.1% 41.4% 23.3% 12.7% 13.0% 35.7% 11.8% 1.2% 9.6% 7.8% 10.2%

Ghana 79.3% 73.7% 36.9% 17.3% 13.4% 25.0% 36.7% 7.9% 10.9% 4.1% 6.7%

Kenya 63.8% 51.7% 15.2% 9.3% 8.9% 14.7% 51.1% 3.3% 1.4% 7.2% 2.7% 17.0%

Nigeria 83.4% 79.8% 46.9% 17.5% 10.4% 30.3% 25.9% 9.5% 1.4% 18.0% 4.9% 5.5%

Tanzania 72.6% 56.9% 16.2% 14.1% 10.8% 9.0% 46.7% 5.5% 1.5% 8.3% 3.4% 21.2%

Uganda 71.5% 65.2% 18.6% 22.4% 12.0% 26.2% 40.2% 7.4% 1.5% 22.4% 4.9% 19.3%

Other Africa and Middle East 73.0% 67.6% 31.1% 30.5% 25.4% 28.9% 37.5% 13.7% 21.1% 10.9% 7.6%

AMERICAS 68.4% 63.9% 23.3% 56.6% 47.9% 41.0% 24.0% 36.4% 2.4% 34.0% 28.1% 5.1%

Argentina 67.2% 69.9% 17.9% 56.6% 35.3% 39.2% 30.9% 40.0% 4.1% 32.3% 11.2% 1.3%

Brazil 62.0% 68.4% 19.4% 55.9% 40.6% 35.3% 26.2% 38.8% 41.1% 28.6% 3.6%

Canada 73.0% 68.5% 27.8% 58.1% 55.4% 38.9% 20.6% 34.9% 2.0% 33.2% 34.6% 5.8%

USA 68.2% 62.2% 23.5% 56.4% 47.7% 42.7% 23.6% 36.5% 2.7% 33.0% 26.7% 4.9%

Other Americas 65.9% 62.2% 6.7% 56.9% 39.4% 29.7% 42.4% 34.7% 44.8% 33.6% 13.4%

ASIA & AUSTRALASIA 68.0% 63.9% 35.4% 43.0% 35.8% 27.4% 35.7% 23.4% 1.8% 23.7% 19.8% 2.7%

Australia 76.5% 56.6% 57.8% 50.7% 46.1% 33.3% 13.8% 28.4% 4.8% 28.3% 22.2%

China including Hong Kong 66.5% 71.4% 22.0% 47.1% 27.3% 27.0% 44.0% 29.5% 20.2% 23.8% 3.6%

India 59.9% 55.8% 29.0% 30.0% 31.4% 22.9% 53.0% 12.7% 20.7% 11.0% 3.9%

Japan 67.7% 76.9% 7.9% 47.2% 31.2% 26.0% 50.3% 18.3% 15.5% 26.1% 3.3%

New Zealand 77.6% 84.0% 66.2% 41.3% 54.4% 23.4% 11.2% 24.9% 31.8% 30.2% 1.2%

South Korea 48.2% 44.5% 18.9% 22.5% 23.6% 22.8% 60.1% 13.9% 18.4% 11.1% 3.2%

Other Asia and Australasia 67.0% 71.0% 25.9% 44.4% 34.9% 25.8% 37.0% 22.0% 26.9% 16.4% 2.7%

EUROPE 66.5% 67.6% 30.3% 60.3% 52.1% 30.3% 21.9% 34.3% 0.8% 32.0% 34.1% 4.9%

Austria 57.7% 65.8% 24.3% 57.9% 51.1% 31.5% 30.0% 36.0% 41.4% 33.6% 2.1%

Belgium 54.9% 60.4% 22.9% 60.7% 45.5% 24.8% 31.2% 44.6% 1.4% 37.6% 30.1% 5.2%

Denmark 80.0% 69.8% 10.8% 73.9% 53.9% 40.7% 15.5% 47.8% 24.4% 47.6% 8.0%

France 53.2% 60.8% 23.9% 57.4% 44.0% 28.7% 27.9% 33.3% 36.4% 28.2% 6.8%

Germany 64.8% 66.7% 21.4% 64.2% 56.1% 32.9% 24.3% 40.2% 37.4% 41.3% 6.0%

Italy 67.7% 66.1% 12.1% 51.4% 43.9% 23.3% 40.9% 29.8% 27.8% 28.8% 4.0%

Netherlands 65.9% 73.7% 33.9% 76.0% 58.6% 28.4% 11.8% 37.7% 36.2% 46.3% 4.0%

Russian Fed 47.0% 49.9% 12.0% 19.7% 24.7% 18.2% 71.0% 13.4% 16.7% 11.2% 4.0%

Spain 81.9% 77.4% 20.3% 55.6% 55.6% 31.6% 30.0% 25.3% 27.7% 38.0% 1.0%

Sweden 59.6% 55.2% 21.3% 56.2% 27.3% 31.9% 19.4% 52.4% 27.9% 15.8% 8.6%

Switzerland 77.1% 68.0% 28.6% 60.9% 62.7% 33.5% 13.7% 44.1% 2.1% 31.1% 40.2% 5.3%

UK 69.7% 70.3% 42.3% 59.7% 54.3% 28.7% 18.2% 26.6% 1.3% 30.0% 31.4% 3.3%

Other Europe 69.6% 67.5% 31.3% 47.7% 48.0% 32.4% 23.7% 32.9% 22.8% 27.9% 5.9%

ALL FOREIGN TOURISTS 82.5% 75.1% 53.0% 16.8% 14.7% 11.5% 11.3% 8.6% 3.5% 9.9% 8.0% 2.9%

Notes:



2015



Visiting natural

attractions Beach

Cultural,

historical and


Education

training study

AFRICA LAND 86.5% 79.1% 59.3% 4.3% 4.2% 7.8% 6.8% 1.0% 4.8% 4.4% 0.7% 2.7%

Botswana 60.8% 66.9% 48.2% 4.3% 2.0% 14.2% 1.9% 15.3% 2.7%

Lesotho 73.2% 47.8% 88.9% 1.6% 1.3% 19.4% 3.1% 4.5% 1.8% 1.3%

Malawi 97.5% 95.1% 38.8% 3.6% 4.7% 10.6% 8.3% 16.8% 7.5% 1.5%

Mozambique 90.4% 86.5% 52.8% 2.1% 2.0% 4.8% 5.4% 1.4% 2.2% 2.2% 1.3%

Namibia 44.0% 37.0% 43.6% 10.6% 13.9% 3.9% 19.3% 1.7% 10.1% 8.6% 2.7% 10.6%

Swaziland 92.2% 91.3% 89.2% 5.1% 15.8% 4.5% 8.6% 8.1% 9.3%

Zambia 92.6% 87.9% 35.2% 3.3% 5.3% 4.5% 20.9% 20.1% 6.6% 6.6%

Zimbabwe 98.1% 95.5% 37.5% 6.8% 2.5% 4.4% 9.1% 1.7% 7.0% 1.1%

AFRICA AIR 72.4% 59.1% 35.1% 16.6% 15.7% 20.5% 41.9% 6.9% 0.5% 14.1% 4.3% 9.2%

Angola 81.4% 68.2% 48.4% 16.8% 16.8% 17.9% 28.7% 6.9% 15.7% 4.2% 10.7%

Democratic Republic of Congo 72.5% 54.4% 41.0% 13.4% 6.7% 17.4% 47.0% 4.0% 1.3% 10.0% 7.4%

Ethiopia 70.8% 45.9% 35.7% 9.5% 8.1% 6.9% 51.4% 3.4% 6.7% 6.7%

Ghana 68.7% 56.1% 34.9% 17.3% 14.0% 22.7% 49.9% 3.3% 9.4% 1.3% 8.0%

Kenya 75.9% 57.2% 18.7% 12.7% 6.0% 16.0% 50.7% 5.3% 1.3% 9.3% 2.0% 17.9%

Nigeria 85.5% 72.8% 43.4% 9.2% 9.2% 25.5% 36.5% 2.7% 15.1% 3.7% 7.8%

Tanzania 77.0% 51.3% 35.1% 11.3% 8.4% 15.2% 41.0% 2.7% 1.3% 9.5% 16.7%

Uganda 70.7% 61.4% 28.1% 14.3% 8.6% 22.9% 56.8% 3.4% 16.0% 1.3% 12.6%

Other Africa and Middle East 60.7% 50.9% 27.2% 23.1% 24.8% 21.5% 45.0% 11.8% 16.2% 7.3% 6.6%

AMERICAS 64.3% 58.1% 26.6% 54.1% 40.6% 39.8% 27.3% 38.4% 0.7% 33.2% 17.0% 5.6%

Argentina 68.1% 68.7% 16.8% 61.4% 42.5% 48.3% 28.5% 45.5% 3.4% 33.0% 15.9% 2.2%

Brazil 62.5% 60.5% 22.5% 46.1% 39.1% 32.7% 29.8% 32.4% 2.1% 30.9% 17.9% 6.1%

Canada 61.3% 56.2% 35.9% 56.1% 42.3% 37.5% 28.4% 32.5% 30.7% 15.5% 4.0%

USA 64.6% 57.1% 26.5% 55.1% 41.2% 41.4% 25.7% 40.6% 33.9% 17.2% 5.4%

Other Americas 72.3% 61.7% 12.3% 40.3% 22.0% 28.4% 42.1% 29.7% 39.5% 19.5% 21.3%

ASIA & AUSTRALASIA 68.2% 64.7% 26.3% 49.4% 30.6% 38.4% 35.0% 23.7% 0.3% 33.7% 12.9% 3.0%

Australia 64.3% 57.5% 47.8% 51.8% 45.8% 35.7% 16.9% 37.8% 37.0% 21.6% 1.5%

China including Hong Kong 83.7% 81.1% 12.2% 66.8% 20.7% 56.0% 31.5% 17.6% 49.5% 8.1% 3.7%

India 56.4% 50.8% 26.2% 36.7% 34.4% 30.8% 48.5% 21.5% 22.3% 10.8% 2.0%

Japan 66.1% 69.6% 8.5% 35.1% 20.9% 18.9% 56.2% 16.8% 12.0% 9.3% 3.3%

New Zealand 59.4% 55.8% 54.9% 43.1% 41.4% 26.5% 17.7% 34.2% 1.0% 38.2% 23.7% 1.1%

South Korea 65.9% 72.1% 17.2% 25.6% 24.2% 32.2% 55.4% 17.9% 20.4% 10.6% 4.9%

Other Asia and Australasia 58.4% 55.9% 22.3% 36.7% 23.7% 25.8% 47.7% 16.3% 17.3% 10.1% 5.4%

EUROPE 60.2% 61.8% 29.2% 62.5% 46.9% 32.8% 23.2% 37.9% 0.8% 29.1% 23.5% 2.8%

Austria 58.3% 57.2% 31.3% 61.2% 38.5% 34.5% 24.6% 35.1% 31.4% 19.0% 4.8%

Belgium 55.0% 59.1% 23.1% 61.0% 42.4% 23.1% 30.3% 42.0% 2.0% 28.0% 29.1% 1.5%

Denmark 69.3% 73.3% 22.3% 77.8% 55.6% 36.9% 13.2% 48.1% 1.0% 33.7% 23.7% 6.6%

France 45.4% 51.1% 16.8% 53.9% 40.0% 30.3% 36.3% 34.0% 23.3% 21.8% 1.0%

Germany 62.4% 63.3% 26.8% 66.6% 52.3% 35.5% 24.1% 41.9% 31.8% 27.5% 2.7%

Italy 59.4% 56.3% 18.8% 54.8% 39.1% 34.5% 43.1% 36.1% 21.3% 17.8% 3.1%

Netherlands 64.5% 70.8% 24.7% 79.3% 58.0% 39.9% 10.3% 51.1% 39.3% 32.4% 4.3%

Russian Fed 39.6% 31.3% 16.4% 27.9% 29.2% 20.8% 59.5% 18.1% 17.4% 13.0% 3.7%

Spain 56.5% 55.4% 14.8% 58.3% 47.5% 31.3% 39.0% 28.3% 24.4% 16.8% 4.3%

Sweden 53.6% 46.9% 20.5% 49.3% 29.8% 29.2% 39.1% 39.4% 24.3% 11.8% 4.7%

Switzerland 68.0% 64.6% 28.5% 63.3% 52.5% 38.8% 20.4% 45.6% 38.2% 31.6% 5.6%

UK 62.8% 65.7% 40.0% 63.1% 46.3% 30.3% 15.8% 33.4% 1.1% 27.2% 21.6% 1.7%

Other Europe 58.7% 57.0% 27.8% 53.5% 43.3% 32.6% 27.0% 34.2% 1.0% 27.8% 19.5% 3.8%

ALL FOREIGN TOURISTS 80.3% 74.3% 51.2% 17.5% 13.7% 14.6% 12.5% 9.3% 3.7% 10.9% 5.5% 3.1%

Notes:


2014



Gauteng Western Cape Eastern Cape Kwazulu Natal Limpopo Mpumalanga North West Northern Cape Free State

Shopping 62.4% 75.8% 54.1% 43.0% 72.9% 38.4% 32.3% 40.4% 33.8%

Nightlife 66.1% 100.0% 93.6% 61.7% 22.2% 31.2% 54.5% 48.9% 35.7%

Eating Out 46.6% 79.9% 76.1% 45.4% 19.6% 23.2% 39.1% 34.7% 21.4%

Entertainment 10.7% 11.3% 8.5% 8.7% 0.6% 3.6% 5.6% 6.5% 5.8%

Social 41.0% 32.8% 35.8% 38.8% 9.3% 39.1% 42.2% 46.0% 58.5%

Visiting natural attractions 5.4% 70.9% 55.1% 21.6% 3.4% 12.5% 5.4% 13.1% 1.9%

Beach 52.1% 54.7% 42.3% 5.0%

Cultural, historical and heritage 9.3% 41.0% 24.1% 14.2% 1.7% 4.3% 1.2% 6.9% 0.7%

Business 14.3% 16.1% 8.5% 9.1% 4.4% 2.1% 2.3% 10.9% 3.9%

Wildlife 2.6% 25.8% 50.9% 14.4% 6.8% 20.5% 5.2% 10.2% 1.1%

Church 9.6% 1.6% 3.8% 1.6% 8.8% 7.5% 7.9% 13.3% 18.9%

Trading 8.3% 0.9% 0.3% 5.5% 6.6% 1.8% 2.7% 9.9% 1.1%

Theme parks 2.7% 20.5% 4.0% 7.0% 0.4% 0.7% 2.0% 0.2% 0.3%

Adventure 0.8% 21.5% 21.6% 7.4% 0.8% 2.5% 0.7% 1.1% 0.3%

Education training study 4.0% 3.7% 3.8% 3.2% 1.2% 1.4% 1.7% 6.7% 6.2%

ACTIVITIES BY PROVINCE

2016


Shopping 84.8% 69.4% 70.2% 84.7% 96.9% 85.2% 54.2% 63.4% 69.0%

Nightlife 76.9% 71.9% 64.5% 79.2% 92.4% 79.8% 46.6% 49.5% 41.9%

Eating Out

Entertainment

Social 59.5% 26.5% 22.9% 53.5% 16.7% 53.5% 68.8% 69.0% 93.5%


Beach 64.8% 71.0% 54.0% 18.3%


Business 16.7% 16.5% 10.2% 10.4% 3.6% 4.2% 5.0% 10.9% 3.0%

Wildlife 2.8% 29.8% 49.5% 18.8% 4.4% 21.9% 11.8% 7.3% 1.2%

Church

Trading 5.1% 2.9% 1.6% 2.2% 0.4% 3.7% 7.2% 0.0% 2.4%

Theme parks 7.0% 34.4% 31.4% 21.1% 2.6% 12.9% 8.0% 9.1% 1.4%

Adventure 2.4% 40.4% 40.2% 17.0% 1.2% 7.7% 2.4% 4.0% 0.6%



2015



Shopping 83.2% 68.2% 69.3% 80.5% 96.2% 83.1% 65.3% 49.5% 61.9%

Nightlife 74.6% 69.9% 63.9% 72.8% 93.9% 79.7% 52.5% 45.1% 39.4%

Eating Out

Entertainment

Social 53.6% 25.0% 29.2% 55.7% 22.1% 49.2% 54.0% 64.5% 93.8%


Beach 57.3% 55.6% 55.8% 10.4%


Business 18.8% 16.4% 13.0% 11.1% 3.8% 4.3% 6.1% 16.9% 5.0%

Wildlife 2.7% 31.4% 44.6% 20.6% 5.1% 19.1% 15.5% 6.7% 1.1%

Church

Trading 5.6% 1.4% 0.6% 2.1% 0.9% 3.9% 7.2% 3.0% 1.0%

Theme parks 8.7% 32.0% 30.1% 21.8% 4.1% 10.7% 17.9% 9.1% 1.8%

Adventure 1.8% 26.4% 19.7% 10.0% 0.8% 4.1% 1.9% 4.1% 0.4%



2014

1.9. Appendix 9: Experiences in South Africa

2014 2015 2016

Visiting family friends 37.7% 40.1% 35.0%

The scenery in SA is beatiful 35.6% 36.8% 34.0%

Hospitality and friendly people 62.3% 66.4% 26.5%

Good serivce 51.9% 58.8% 22.8%

Value for money 28.7% 32.6% 22.6%

Good infrastructure 41.6% 37.4% 19.0%

The diverse experience 23.3% 20.6% 15.5%

Business opportunities 9.9% 10.4% 14.4%

The wildlife game parks safari 9.7% 10.7% 8.2%

Beaches 8.4% 9.5% 5.5%

The culture & heritage 6.1% 7.2% 5.2%

I had no outstanding experience 9.2% 8.0% 18.3%

2013 2014 2015

I had no bad experience 90.1% 93.7% 82.0%

Poor food facilities 0.0% 0.0% 9.6%

Personal safety 2.2% 1.6% 6.8%

Safety and security 2.3% 1.8% 5.1%

Poverty beggars 1.4% 1.2% 3.7%

Expensive 1.0% 0.6% 1.5%

Theft robbery crime 0.2% 0.2% 1.4%

Personal experience 0.0% 0.0% 1.3%

Poor signage road signs 0.6% 0.3% 1.2%

Other 0.3% 0.4% 0.8%

TOP MOST POSITIVE EXPERIENCES WHILE IN SOUTH AFRICA

TOP MOST NEGATIVE EXPERIENCES WHILE IN SOUTH AFRICA


1.10. Appendix 10: Total Foreign Direct Spend

2014 2015 2016

TFDS (including Capital) R 19 645 000 000 R 17 093 000 000 R 24 120 000 000

Year-on-year change -12.99% 41.11%

2014 2015 2016

TFDS (excluding Capital) R 18 563 000 000 R 16 263 000 000 R 22 466 000 000

Year-on-year change -12.39% 38.14%

ESTIMATED TFDS (including Capital Expenditure) in SA

ESTIMATED TFDS (excluding Capital Expenditure) in SA

2014 2015 2016 % Change

Accommodation R 2.1 R 1.9 R 2.5 35.0%

Transport R 1.6 R 1.5 R 1.8 22.1%

Food R 2.0 R 2.0 R 3.7 84.6%

Medical R 0.2 R 0.1 R 0.2 61.8%

Shopping R 6.6 R 6.1 R 6.4 6.0%

Reselling R 2.5 R 2.2 R 3.4 55.3%

Leisure R 2.0 R 1.9 R 2.3 20.3%

Other R 0.7 R 0.4 R 1.6 296.6%

ESTIMATED TFDS (excluding Capital Expenditure) by CATEGORY IN BILLIONS

2014 2015 2016 % Change

Africa Land R 9.3 R 8.0 R 9.5 19.0%

Africa Air R 1.0 R 1.1 R 1.8 70.8%

Americas R 1.2 R 1.0 R 2.0 93.1%

Asia & Australasia R 1.3 R 0.9 R 1.4 55.9%

Europe R 5.7 R 5.3 R 7.7 46.6%

TFDS (excluding Capital Expenditure) IN BILLIONS by REGION

2014 2015 2016 % Change

Africa Land R 5 400 R 4 900 R 5 200 6.1%

Africa Air R 11 200 R 12 700 R 22 400 76.4%

Americas R 13 100 R 12 600 R 21 700 72.2%

Asia & Australasia R 14 300 R 12 200 R 15 300 25.4%

Europe R 15 900 R 14 300 R 19 000 32.9%

AVERAGE TFDS (excluding Capital Expenditure) by REGION

2014 2015 2016 % Change

Accommodation R 0.5 R 0.5 R 0.5 -0.4%

Transport R 0.9 R 0.8 R 0.6 -31.8%

Food R 0.7 R 0.6 R 0.7 18.2%

Medical R 0.2 R 0.1 R 0.1 46.6%

Shopping R 3.8 R 3.5 R 2.5 -28.5%

Reselling R 2.4 R 2.2 R 3.4 54.6%

Leisure R 0.2 R 0.2 R 0.4 104.5%

Other R 0.4 R 0.2 R 1.1 522.5%

ESTIMATED TFDS (excluding Capital Expenditure) by CATEGORY IN BILLIONS: AFRICA LAND

2014 2015 2016 % Change

Accommodation R 1.6 R 1.4 R 2.1 46.3%

Transport R 0.6 R 0.6 R 1.2 96.0%

Food R 1.4 R 1.4 R 3.0 114.0%

Medical R 0.1 R 0.1 R 0.1 85.4%

Shopping R 2.7 R 2.6 R 3.9 52.8%

Reselling R 0.1 R 0.0 R 0.1 107.5%

Leisure R 1.8 R 1.8 R 2.0 11.5%

Other R 0.3 R 0.2 R 0.5 113.5%

ESTIMATED TFDS (excluding Capital Expenditure) by CATEGORY IN BILLIONS: AIR MARKETS


Source: www.oanda.com

2014 2015 2016 % Change

Gauteng R 7.2 R 6.2 R 9.8 58.9%

Western Cape R 4.7 R 4.1 R 5.6 38.7%

Eastern Cape R 0.7 R 0.7 R 1.0 43.8%

Kwa Zulu Natal R 1.1 R 1.0 R 1.3 28.6%

Mpumalanga R 1.3 R 1.4 R 1.6 18.0%

Limpopo R 2.7 R 2.1 R 2.1 0.9%

North West R 0.3 R 0.3 R 0.5 57.9%

Northern Cape R 0.2 R 0.2 R 0.2 7.6%

Free State R 0.3 R 0.4 R 0.3 -17.2%

ESTIMATED TFDS (excluding Capital Expenditure) IN BILLIONS by PROVINCES

Q1 2014 2015 2016

US Dollar R 10.84 R 11.74 R 13.37

% Change 8.3% 13.9%

Pound R 17.94 R 17.78 R 20.12

% Change -0.9% 13.2%

Euro R 14.86 R 13.24 R 14.81

% Change -10.9% 11.9%

MAJOR CURRENCY AVERAGE EXCHANGE RATE

http://www.oanda.com/


1.11. Appendix 12: Accommodation Tables

2014 2015 2016

TOTAL BEDNIGHTS 20 510 000 18 417 000 26 214 000

PAID BEDNIGHTS 7 504 000 6 280 000 7 546 000

FORMAL SECTOR BEDNIGHTS 7 339 000 6 142 000 7 118 000

Notes:

ACCOMMODATION SECTION: OVERALL

Formal Bednights = Hotels, guesthouses, bed and breakfasts, self-catering, game lodge & backpackers.

Paid Bednights = Hotels, guesthouses, bed and breakfasts, self-catering, game lodge, backpackers,

camping, train and hospital.

2014 2015 2016

Hotels 2 731 000 2 018 000 2 984 000

Guesthouse 1 938 000 1 878 000 948 000

Bed and breakfast 795 000 738 000 581 000

Self-catering 925 000 720 000 1 219 000

Game lodge 467 000 414 000 580 000

Backpackers 482 000 375 000 807 000

Camping 99 000 87 000 274 000

Train or ship 26 000 34 000 22 000

Hospital 40 000 18 000 131 000

Visiting friends and family 12 064 000 11 243 000 17 394 000

Other 942 000 893 000 1 274 000

ACCOMMODATION SECTION: ESTABLISHMENTS

2014 2015 2016

Gauteng 2 150 000 1 489 000 2 299 000

Western Cape 2 834 000 2 377 000 2 859 000

Eastern Cape 476 000 468 000 434 000

Kwazulu Natal 572 000 478 000 467 000

Limpopo 660 000 706 000 498 000

Mpumalanga 538 000 509 000 618 000

North West 109 000 121 000 203 000

Northern Cape 74 000 88 000 59 000

Free State 90 000 44 000 108 000

ACCOMMODATION SECTION: PAID BEDNIGHTS BY PROVINCE


2014 2015 2016

Gauteng 2 120 000 1 477 000 2 224 000

Western Cape 2 786 000 2 336 000 2 785 000

Eastern Cape 464 000 458 000 426 000

Kwazulu Natal 550 000 462 000 450 000

Limpopo 639 000 693 000 349 000

Mpumalanga 519 000 478 000 556 000

North West 107 000 116 000 197 000

Northern Cape 70 000 80 000 56 000

Free State 84 000 43 000 75 000

ACCOMMODATION SECTION: FORMAL BEDNIGHTS BY PROVINCE


Hotels 1 268 000 1 150 000 122 000 238 000 49 000 68 000 47 000 10 000 31 000

Guesthouse 272 000 403 000 39 000 50 000 27 000 86 000 51 000 7 000 13 000

Bed and breakfast 99 000 347 000 43 000 48 000 15 000 10 000 5 000 3 000 9 000

Self-catering 387 000 418 000 83 000 42 000 171 000 50 000 22 000 31 000 15 000

Game lodge 61 000 25 000 42 000 28 000 269 000 130 000 18 000 4 000 2 000

Backpackers 137 000 442 000 95 000 43 000 26 000 5 000 54 000 1 000 4 000

Camping 29 000 25 000 7 000 14 000 39 000 124 000 4 000 3 000 29 000

Train or ship 15 000 1 000 2 000 2 000

Hospital 43 000 34 000 2 000 23 000 23 000 2 000 1 000 4 000

Visiting friends and family 7 023 000 1 504 000 313 000 986 000 2 059 000 1 044 000 1 555 000 155 000 2 755 000

Other 1 430 000 529 000 212 000 369 000 358 000 1 748 000 135 000 28 000 267 000

ACCOMMODATION TYPE BY PROVINCE

2016


Hotels 822 000 734 000 88 000 136 000 123 000 53 000 39 000 15 000 9 000

Guesthouse 372 000 779 000 93 000 71 000 99 000 424 000 22 000 9 000 9 000


Self-catering 93 000 296 000 120 000 65 000 30 000 58 000 16 000 43 000 1 000

Game lodge 25 000 28 000 63 000 40 000 153 000 80 000 19 000 3 000 3 000

Backpackers 53 000 190 000 30 000 49 000 21 000 8 000 2 000 5 000 16 000

Camping 3 000 10 000 7 000 10 000 31 000 12 000 4 000 8 000

Train or ship 25 000 3 000 6 000

Hospital 9 000 6 000 1 000 2 000

Visiting friends and family 4 589 000 1 316 000 263 000 1 050 000 1 443 000 205 000 460 000 120 000 1 799 000

Other 593 000 1 084 000 65 000 105 000 305 000 27 000 205 000 1 000 191 000


2015



Hotels 1 151 000 1 014 000 134 000 174 000 152 000 24 000 47 000 19 000 16 000

Guesthouse 467 000 778 000 101 000 84 000 96 000 371 000 22 000 12 000 7 000


Self-catering 218 000 403 000 70 000 85 000 51 000 45 000 3 000 16 000 33 000

Game lodge 28 000 74 000 47 000 46 000 169 000 69 000 22 000 5 000 7 000

Backpackers 117 000 202 000 30 000 68 000 5 000 37 000 0 11 000 14 000

Camping 12 000 35 000 9 000 12 000 18 000 8 000 2 000 2 000 2 000

Train or ship 13 000 3 000 10 000

Hospital 19 000 1 000 2 000 13 000 2 000 5 000

Visiting friends and family 4 901 000 1 458 000 316 000 1 121 000 1 279 000 379 000 417 000 106 000 2 087 000

Other 785 000 936 000 78 000 145 000 361 000 127 000 161 000 7 000 160 000


2014

1.12. Appendix 13: Attractions Tables

NB: Among the attractions we have elaborated on vague options such as beach or shopping mall to allow for more granular and

detailed responses that speak to a specific place.

2016

Addo Elephant Park 56.4%

Storms River 29.4%

Tree Top Canopy Tour / Tstitsikamma Forest 22.2%

Board Walk shopping Mall 19.3%

Greenacres Mall 17.3%

Bloukrans Bridge Bungy (Highest Bungee) 16.8%

Warmer Park 15.3%

Nelson Mandela Museum (Mthatha) 14.3%

Valley of Desolation / Owl House / Karoo / Olive Shreiner Museum 13.8%

Tiffendel Ski Resort 13.7%

Top 10 Attractions: Eastern Cape

2016

Golden Gate National Park 31.3%

Cheetah Experience 24.7%

Waterfront 20.8%

Mimosa Mall 18.9%

Clarens Ash River Outfall 13.7%

Sterkfontein dam Nature Reserve 9.7%

Basotho cultural village 7.7%

Gariep Dam 6.0%

Welkom Mall 5.9%

Maluti Cave Hiking Trail 5.6%

Top 10 Attractions: Free State

2016

Sandton City / Mandela Square 52.0%

Apartheid Museum 17.0%

Tour of Soweto 14.2%

Eastgate Mall 13.9%

Mandela house (Soweto) 12.6%

Union Buildings 11.5%

Rhino and Lion Nature Reserve 9.3%

Constitution Hill 6.7%

Maropeng and Sterkfontein Caves (Cradle of Humankind) 5.3%

Lesedi Cultural Village 3.9%

Top 10 Attractions: Gauteng


2016

Durban South Beach 34.3%

Drakensberg Mountains 32.3%

uShaka Marine World 31.7%

Durban north coast (Umhlanga, Umdloti, Ballito, Zimbali, Salt Rock, Shaka's Rock) 29.3%

Elephant Coast (e.g. iSimangaliso Wetland Park World Heritage Site, Hluhluwe-iMfolozi, Tembe, Ndumu, Phinda) 28.1%

Gateway Mall 27.0%

Durban North Beach 26.8%

La Lucia 22.7%

Pavilion Mall 19.0%

Drakensberg Gardens / Sani Pass / Amphitheatre / Cathedral 15.9%

Top 10 Attractions: Kwazulu Natal

2016

Kruger National Park via Orpen, Phalaborwa, Punda Maria 70.7%

Maphugubwe National Park 17.3%

Bela Bela Conservatory 16.4%

Nature or Game Reserves 12.2%

Mapungubwe Cultural Landscape 10.5%

Nandoni Dam 5.4%

Southpansberg Mountains 4.3%

The Chuene Resort 3.9%

Ga (modjadji) / Motjaji 2.8%

Mall of the North 1.4%

Top 10 Attractions: Limpopo

2016

Kruger Park via Skukuza, Numbi, Malelane,Crocodile Bride 83.1%

Blyde River Canyon God's Window 47.3%

Panorama 38.7%

Hazyview (Cable slide, Hot air ballooning, Abseiling, Elephant Sanctuary, Game drives etc.) 36.1%

Pilgrim's Rest 26.9%

Bourke's Luck Potholes 21.9%

Hazyview Mall 21.8%

Longtom Pass 15.4%

The Pinnacle 15.1%

Crocriver Enviro Park 14.8%

Top 10 Attractions: Mpumalanga

2016

Kimberley Big Hole 47.4%

Diamond Mall 35.2%

Kimberley Museum 34.6%

Augrabies Falls 28.7%

Kgalagadi Transfrontier Park 22.1%

Mokala National Park 14.6%

Namaqualand Flowers 10.4%

San Cultural Villages (e.g. Khomani San Village etc) (Specify) 4.5%

Sutherland and Carnarvon - Stargazing (Salt and SKA) 4.3%

Blue flag beach at Mcdougal Bay 3.2%

Top 10 Attractions: Northern Cape


2016

Sun City / Lost City 54.2%

Pilansberg National Park 42.1%

Madikwe Game reserve 14.7%

Haartebespoort dam 13.2%

Hartbeespoort dam & Snake Park 10.8%

Waterfall Mall (Rustenburg) 7.7%

The cradle of humankind 7.5%

Klerksdorp Mall 4.4%

Brits Mall 4.4%

Potchefstroom University 4.3%

Top 10 Attractions: North West

2016

Cape Town Central City 80.1%

V&A Waterfront 79.3%

Cape Point 65.3%

Table Mountain Cableway 56.4%

The Winelands 53.8%

Kirstenbosch Botanical Gardens 37.2%

Clifton Beach 35.1%

The Garden Route 30.2%

Camp's Bay 29.3%

Robben Island 27.7%

Top 10 Attractions: Western Cape


1.13. Appendix 14: Transportation Tables

2014 2015 2016

Private car or van 43.7% 44.9% 40.2%

Minibus taxi 24.2% 26.0% 32.0%

On foot or bicycle 12.5% 12.1% 21.9%

Other Taxi 24.0% 24.5% 12.5%

Aeroplane 11.7% 12.0% 11.2%

Rental car 9.6% 8.8% 7.2%

Commercial bus 3.6% 2.0% 5.4%

Tour bus 3.2% 2.3% 3.6%

Truck or lorry 1.7% 1.6% 3.3%

Private hotel shuttle 3.2% 3.4% 3.1%

Train 1.2% 1.1% 1.6%

Ship/Boat 0.2% 0.1% 1.5%

Motorcylce 0.2% 0.2% 0.1%

TRANSPORTATION SECTION: OVERALL

2014 2015 2016


Minibus taxi 31.3% 33.4% 42.8%


Other Taxi 28.0% 29.5% 11.2%

Aeroplane 1.3% 0.8% 0.7%

Rental car 0.8% 0.6% 0.8%


Tour bus 0.4% 0.1% 0.3%



Train 0.3% 0.4% 1.2%

Ship/Boat 0.0% 0.0% 0.1%


TRANSPORTATION SECTION: LAND MARKETS


2014 2015 2016


Minibus taxi 5.1% 6.3% 1.9%


Other Taxi 13.1% 11.1% 16.3%

Aeroplane 40.0% 41.8% 40.5%

Rental car 33.3% 30.7% 25.2%


Tour bus 10.9% 8.3% 12.5%



Train 3.6% 2.9% 2.9%

Ship/Boat 0.6% 0.5% 5.6%


TRANSPORTATION SECTION: AIR MARKETS

On foot or

bicycle Motorcylce

Private car or

van Rental car Minibus taxi Other Taxi Commercial bus Tour bus Truck or lorry Aeroplane Train Ship/Boat

Private hotel

shuttle

AFRICA LAND 27.8% 0.1% 39.4% 0.8% 42.8% 11.2% 6.1% 0.3% 4.3% 0.7% 1.2% 0.1% 0.5%

Botswana 6.0% 0.0% 68.1% 0.9% 15.3% 3.2% 2.7% 0.3% 13.8% 0.9% .6% 0.0% 1.0%

Lesotho 11.9% 0.0% 43.4% 0.6% 45.8% 2.7% 2.0% 0.3% 3.2% 0.0% 0.5% 0.2% 0.0%

Malawi 14.1% 0.0% 33.6% 1.9% 28.9% 17.0% 27.6% 2.2% 5.9% 2.6% 2.7% 0.0% 2.0%

Mozambique 87.2% 0.1% 20.9% 0.3% 64.4% 19.9% 4.0% 0.0% 2.0% 0.8% 2.6% 0.0% .2%

Namibia 2.7% 0.0% 65.7% 4.4% 6.7% 6.2% 2.8% 0.1% 12.3% 1.6% 2.3% 0.0% 3.2%

Swaziland 11.8% 0.4% 38.1% 1.5% 36.5% 14.3% 0.5% 2.1% 8.6% 0.1% 1.1% 0.0% .5%

Zambia 6.7% 0.0% 26.7% 2.7% 33.7% 21.0% 26.7% 0.2% 5.0% 5.2% 2.9% 0.0% 2.2%

Zimbabwe 17.7% 0.0% 39.3% 0.5% 40.2% 13.3% 11.4% 0.0% 1.8% 0.9% 0.6% 0.0% 0.5%

AFRICA AIR 4.1% 0.0% 45.1% 10.9% 3.5% 29.3% 7.5% 5.3% 0.2% 21.2% 7.0% 0.5% 10.7%

Angola 5.0% 0.0% 41.8% 8.2% 3.1% 47.2% 4.5% 1.9% 0.0% 7.6% 9.2% 0.4% 9.9%

Democratic Republic of Congo 1.9% 0.0% 73.1% 0.8% 7.5% 24.4% 3.6% 0.0% 0.0% 18.3% 1.8% 0.0% 4.6%

Ethiopia 0.0% 0.0% 38.5% 2.3% 7.6% 24.7% 19.9% 2.3% 0.0% 21.5% 0.0% 0.0% 7.7%

Ghana 2.4% 0.0% 40.4% 9.6% 9.3% 23.7% 17.0% 1.4% 0.0% 18.9% 10.0% 0.0% 14.6%

Kenya 4.9% 0.0% 32.8% 2.5% 0.8% 39.6% 11.6% 3.3% 0.0% 19.1% 8.2% 0.0% 12.6%

Nigeria 3.7% 0.0% 47.0% 5.2% 5.2% 26.7% 11.5% 1.1% 0.0% 17.4% 11.5% 0.0% 7.4%

Tanzania 5.3% 0.0% 47.9% 4.0% 5.3% 28.4% 7.8% 1.4% 0.0% 20.2% 6.8% 1.3% 11.9%

Uganda 0.0% 0.0% 50.5% 9.1% 6.1% 27.6% 10.7% 6.9% 2.7% 19.4% 11.4% 0.0% 8.6%

Other Africa and Middle East 4.6% 0.0% 43.2% 19.2% 1.4% 24.0% 4.9% 10.6% 0.2% 29.2% 4.6% 1.0% 12.7%

AMERICAS 4.2% 0.3% 37.1% 24.6% 2.2% 17.6% 3.7% 17.9% 0.7% 55.3% 3.1% 8.0% 11.5%

Argentina 0.0% 0.0% 24.0% 27.0% 0.0% 23.7% 7.2% 27.0% 0.0% 59.5% 16.8% 10.2% 14.9%

Brazil 4.6% 0.0% 31.3% 20.1% 1.4% 36.8% 6.2% 11.7% 0.6% 66.9% 6.2% 9.7% 16.1%

Canada 5.4% 0.4% 35.9% 28.8% 3.7% 13.3% 4.3% 19.6% 0.4% 52.6% 2.9% 11.2% 6.7%

USA 4.1% 0.3% 38.5% 24.2% 2.1% 15.2% 3.1% 17.2% 0.8% 53.6% 2.1% 7.2% 12.1%

Other Americas 4.5% 0.0% 35.5% 18.7% 0.0% 53.4% 6.8% 30.8% 0.0% 82.2% 6.5% 2.5% 6.0%

ASIA & AUSTRALASIA 4.2% 0.0% 50.6% 14.3% 0.5% 9.5% 2.2% 14.3% 0.0% 42.5% 1.6% 2.7% 17.1%

Australia 3.5% 0.0% 63.4% 18.9% 0.2% 8.4% 2.6% 5.3% 0.2% 55.8% 1.9% 2.3% 9.1%

China including Hong Kong 3.5% 0.0% 37.9% 9.2% 0.5% 4.7% 0.5% 32.4% 0.0% 36.7% 0.0% 3.2% 27.0%

India 5.8% 0.0% 55.8% 10.1% 0.9% 17.3% 3.6% 2.1% 0.0% 32.7% 2.6% 2.4% 11.6%

Japan 2.0% 0.0% 44.2% 12.2% 0.0% 10.8% 0.9% 9.8% 0.0% 44.2% 3.8% 2.0% 27.8%

New Zealand 0.0% 0.0% 49.4% 32.8% 0.0% 5.1% 2.4% 6.0% 0.0% 60.3% 2.9% 1.6% 10.1%

South Korea 0.0% 0.0% 50.7% 25.5% 0.0% 10.8% 0.0% 15.1% 0.0% 48.3% 1.8% 0.0% 21.9%

Other Asia and Australasia 9.3% 0.0% 55.2% 14.8% 0.4% 13.3% 4.9% 6.0% 0.0% 37.0% 1.8% 4.4% 10.0%

EUROPE 6.3% 0.1% 41.5% 30.8% 1.9% 14.8% 3.0% 12.4% 0.4% 40.7% 2.3% 6.8% 8.6%

Austria 7.1% 0.0% 37.3% 41.5% 0.0% 12.4% 2.3% 13.5% 0.0% 41.3% 3.5% 8.0% 9.0%

Belgium 6.0% 0.0% 41.7% 33.3% 0.5% 13.3% 3.2% 7.0% 0.0% 33.2% 3.0% 5.4% 13.9%

Denmark 11.8% 0.0% 45.5% 21.1% 0.9% 16.1% 5.0% 14.7% 0.0% 50.0% 1.3% 14.1% 12.8%

France 4.8% 0.0% 34.8% 27.2% 1.1% 15.9% 1.9% 20.0% 0.0% 38.1% 1.9% 7.8% 8.6%

Germany 7.2% 0.1% 32.3% 37.1% 3.5% 15.4% 4.7% 18.1% 0.5% 44.5% 2.0% 6.8% 7.5%

Italy 5.5% 0.0% 34.1% 23.7% 1.3% 13.8% 0.4% 6.9% 0.0% 41.1% 0.4% 5.0% 9.3%

Netherlands 6.4% 0.0% 37.5% 37.7% 3.1% 15.7% 4.1% 12.6% 0.5% 43.5% 2.2% 9.8% 7.8%

Russian Fed 4.3% 0.0% 53.3% 22.5% 0.0% 15.6% 2.2% 4.5% 0.0% 40.5% 0.0% 2.3% 24.8%

Spain 2.9% 0.0% 39.9% 25.5% 0.0% 18.2% 4.1% 10.9% 0.0% 41.5% 1.7% 1.7% 10.9%

Sweden 6.6% 0.0% 40.4% 36.1% 0.7% 17.8% 2.0% 9.2% 0.0% 42.8% 1.2% 8.8% 10.8%

Switzerland 9.8% 0.0% 38.2% 37.2% 1.0% 15.1% 4.1% 13.6% 0.0% 53.7% 3.3% 9.2% 12.0%

UK 5.8% 0.1% 49.6% 26.4% 1.4% 13.6% 2.1% 8.7% 0.5% 38.0% 2.7% 5.0% 7.0%

Other Europe 5.1% 0.0% 46.2% 27.8% 2.3% 15.4% 2.2% 9.7% 0.8% 35.5% 2.7% 8.6% 11.9%

ALL FOREIGN TOURISTS 21.9% 0.1% 40.2% 7.2% 32.0% 12.5% 5.4% 3.6% 3.3% 11.2% 1.6% 1.5% 3.1%

TRANSPORT USED WHILE IN SOUTH AFRICA

2016


On foot or

bicycle Motorcylce

Private car or


Private hotel

shuttle

AFRICA LAND 15.0% 0.2% 45.8% 0.6% 33.4% 29.5% 1.2% 0.1% 1.9% 0.8% 0.4% 0.0% 1.0%

Botswana 0.1% 0.0% 80.2% 0.4% 17.5% 3.0% 2.0% 0.0% 2.4% 0.5% .6% 0.0% 1.1%

Lesotho 16.4% 0.5% 33.1% 0.8% 89.8% 31.6% 2.6% 0.2% 2.7% 0.0% 0.4% 0.0% 0.1%

Malawi 27.4% 0.0% 24.9% 0.5% 20.6% 53.9% 4.2% 0.1% 0.0% 2.6% 0.3% 0.0% 3.9%

Mozambique 0.2% 0.0% 13.0% 0.3% 0.7% 87.8% 1.0% 0.0% 0.0% 0.6% 0.0% 0.0% .9%

Namibia 2.0% 0.8% 73.4% 2.5% 1.1% 3.6% 1.2% 0.1% 16.1% 1.7% 1.0% 0.0% 3.8%

Swaziland 51.8% 0.6% 17.1% .0% 58.1% 0.4% 0.3% 0.0% 5.8% 0.4% 0.0% 0.0% .2%

Zambia 17.8% 0.0% 28.0% 4.1% 20.1% 55.0% 1.0% 0.5% 0.0% 5.0% 2.0% 0.0% 5.2%

Zimbabwe 12.6% 0.0% 79.6% 0.5% 13.6% 6.6% 0.3% 0.0% 0.0% 1.1% 0.5% 0.0% 1.1%

AFRICA AIR 1.3% 0.2% 45.4% 10.7% 15.5% 18.3% 4.6% 1.2% 0.1% 27.3% 4.9% 0.3% 22.1%

Angola 2.0% 0.0% 37.6% 11.9% 27.6% 18.4% 3.7% 0.0% 0.0% 21.2% 5.8% 0.0% 13.2%


Ethiopia 1.1% 1.2% 59.0% 3.3% 8.8% 19.7% 2.1% 0.9% 0.0% 24.7% 0.0% 0.0% 28.9%

Ghana 0.0% 0.0% 54.7% 5.3% 11.2% 22.0% 4.8% 1.3% 0.0% 23.9% 3.3% 0.0% 25.8%

Kenya 0.0% 0.7% 29.6% 7.3% 26.8% 20.1% 2.0% 0.0% 0.0% 26.4% 6.0% 0.0% 24.7%

Nigeria 0.8% 0.0% 58.1% 5.3% 10.8% 23.8% 5.0% 0.8% 0.0% 20.3% 6.4% 0.0% 26.0%

Tanzania 1.3% 0.0% 38.5% 6.5% 16.8% 24.1% 5.9% 0.0% 0.0% 22.5% 6.5% 0.0% 24.0%

Uganda 0.0% 0.0% 38.6% 12.6% 20.7% 10.7% 4.4% 1.3% 0.0% 22.0% 4.0% 1.4% 28.4%


AMERICAS 4.5% 0.4% 37.2% 30.0% 6.7% 9.2% 5.2% 14.3% 1.0% 53.5% 2.5% 0.8% 11.5%

Argentina 1.1% 1.3% 34.2% 23.4% 4.1% 15.5% 6.6% 12.5% 0.0% 50.9% 0.8% 5.1% 29.1%

Brazil 4.2% 0.4% 33.4% 35.5% 10.2% 8.8% 5.7% 10.8% 0.0% 55.3% 4.3% 3.0% 18.3%

Canada 5.3% 0.0% 38.5% 39.1% 4.0% 9.7% 5.6% 11.2% 1.4% 52.2% 2.3% 0.0% 7.9%

USA 4.3% 0.5% 37.2% 27.2% 7.0% 8.9% 5.2% 15.6% 1.1% 54.0% 2.5% 0.5% 11.0%

Other Americas 5.6% 1.3% 39.3% 34.7% 6.1% 8.7% 1.1% 11.3% 0.0% 45.8% 2.0% 3.2% 14.3%


Australia 3.7% 0.0% 59.7% 24.3% 6.7% 5.7% 1.5% 4.3% 0.4% 58.8% 1.8% 1.6% 4.6%


India 1.4% 0.0% 48.7% 22.0% 4.9% 14.8% 4.0% 3.6% 0.0% 48.3% 3.0% 2.0% 15.0%

Japan 7.2% 0.0% 34.9% 24.2% 4.7% 11.1% 5.3% 6.8% 0.0% 37.1% 2.5% 0.0% 33.9%

New Zealand 9.5% 0.0% 71.3% 21.1% 0.9% 3.3% 1.8% 5.5% 0.0% 51.3% 0.0% 0.0% 6.4%

South Korea 3.1% 0.0% 29.5% 40.3% 4.0% 5.8% 2.8% 13.4% 0.6% 46.5% 1.4% 0.0% 7.5%


EUROPE 5.7% 0.3% 41.7% 37.0% 4.3% 10.0% 4.1% 9.2% 1.1% 41.7% 2.6% 0.3% 5.7%

Austria 6.3% 0.0% 41.4% 33.0% 4.5% 10.2% 3.6% 8.4% 1.2% 42.0% 2.1% 0.0% 10.2%

Belgium 4.1% 0.0% 39.4% 33.4% 1.4% 3.2% 2.7% 16.6% 0.6% 38.2% 1.2% 0.0% 7.8%

Denmark 10.1% 0.0% 20.7% 46.9% 10.0% 16.6% 7.2% 10.3% 0.0% 37.5% 4.3% 0.0% 11.5%

France 5.6% 0.6% 43.1% 29.7% 3.5% 9.9% 6.1% 15.0% 0.3% 46.8% 3.6% 0.0% 4.7%

Germany 6.6% 0.3% 35.0% 44.6% 4.1% 10.0% 3.5% 12.1% 2.7% 44.9% 2.8% 0.0% 5.6%

Italy 5.6% 0.0% 25.3% 42.4% 4.6% 16.2% 0.5% 11.6% 1.0% 43.4% 2.1% 0.5% 11.6%

Netherlands 2.6% 0.7% 38.5% 41.7% 3.8% 9.8% 3.3% 11.9% 0.9% 31.4% 0.9% 0.3% 5.0%

Russian Fed 2.5% 0.0% 34.9% 44.0% 0.0% 13.4% 1.9% 2.7% 0.0% 55.0% 2.7% 1.3% 7.8%

Spain 7.3% 0.0% 33.7% 46.0% 5.3% 13.6% 4.3% 2.3% 1.0% 39.3% 4.3% 0.0% 4.7%

Sweden 5.7% 0.7% 44.3% 28.6% 4.3% 3.8% 6.1% 12.2% 2.5% 65.2% 4.5% 0.0% 11.4%

Switzerland 6.1% 0.5% 32.4% 40.0% 5.9% 5.9% 5.1% 13.8% 2.4% 52.2% 3.3% 0.0% 4.8%

UK 4.8% 0.2% 50.4% 33.5% 4.2% 9.9% 4.0% 4.3% 0.2% 34.6% 2.1% 0.8% 4.7%

Other Europe 7.5% 0.1% 42.9% 33.3% 5.0% 12.4% 4.2% 8.1% 1.0% 50.2% 3.4% 0.3% 4.7%



2015


On foot or

bicycle Motorcylce

Private car or


Private hotel

shuttle

AFRICA LAND 14.4% 0.0% 46.1% 0.8% 31.3% 28.0% 3.5% 0.4% 2.0% 1.3% 0.3% 0.0% 0.8%

Botswana 0.2% 0.0% 74.2% 1.1% 14.0% 1.7% 5.3% 0.0% 8.1% 0.7% 0.1% 0.0% 1.3%

Lesotho 17.5% 0.2% 21.1% 0.3% 87.7% 36.1% 6.8% 1.1% 1.9% 0.2% 0.0% 0.2% 0.2%

Malawi 23.7% 0.1% 29.7% 2.1% 14.0% 61.4% 6.0% 0.0% 1.4% 2.4% 0.7% 0.1% 1.8%

Mozambique 0.1% 0.0% 28.7% 0.7% 1.0% 67.6% 5.7% 0.3% 0.1% 2.8% 0.2% 0.0% 0.4%

Namibia 3.3% 0.0% 69.5% 4.5% 6.7% 7.8% 0.7% 0.1% 7.7% 1.6% 0.7% 0.1% 3.6%

Swaziland 54.3% 0.0% 12.4% 0.1% 58.0% 2.9% 0.4% 0.0% 6.4% 0.1% 0.0% 0.0% 0.2%

Zambia 20.3% 0.0% 33.7% 3.4% 13.6% 56.2% 2.2% 0.1% 0.0% 4.5% 2.7% 0.1% 5.6%

Zimbabwe 8.3% 0.0% 82.1% 0.7% 7.9% 10.0% 0.7% 0.1% 0.0% 1.4% 0.4% 0.0% 0.9%

AFRICA AIR 2.3% 0.4% 45.1% 15.9% 10.2% 19.7% 4.8% 1.4% 0.0% 25.5% 7.1% 0.2% 17.9%

Angola 3.0% 0.0% 47.3% 9.6% 12.5% 25.0% 5.2% 2.0% 0.0% 14.6% 5.7% 0.5% 16.0%


Ethiopia 1.2% 0.0% 57.2% 8.4% 3.2% 18.8% 2.2% 1.0% 0.0% 28.0% 4.5% 0.0% 21.3%

Ghana 0.7% 0.7% 47.1% 11.2% 5.3% 22.5% 4.6% 0.0% 0.0% 21.3% 3.9% 0.0% 26.4%

Kenya 1.3% 0.7% 38.2% 11.9% 10.5% 25.0% 6.5% 0.7% 0.0% 26.3% 6.6% 0.0% 23.6%

Nigeria 0.4% 0.0% 51.7% 11.7% 10.8% 17.6% 6.9% 0.0% 0.0% 19.5% 14.9% 0.0% 16.1%

Tanzania 0.0% 0.0% 51.2% 13.5% 6.2% 22.1% 3.2% 0.0% 0.0% 21.9% 8.9% 0.0% 14.7%

Uganda 0.7% 0.0% 34.4% 17.6% 14.6% 15.4% 3.5% 0.7% 0.0% 22.1% 7.3% 0.7% 25.2%


AMERICAS 8.7% 0.5% 33.4% 33.8% 4.9% 12.6% 5.1% 13.9% 1.3% 51.1% 4.8% 0.9% 12.9%

Argentina 2.1% 0.0% 27.4% 25.1% 5.6% 11.0% 6.9% 12.8% 0.0% 59.4% 3.5% 3.5% 30.5%

Brazil 7.2% 0.3% 27.2% 33.6% 5.0% 13.1% 4.1% 12.1% 0.7% 53.4% 5.8% 1.0% 20.9%

Canada 9.0% 0.4% 41.0% 37.4% 4.9% 7.0% 4.7% 11.7% 0.8% 45.9% 4.2% 0.0% 8.2%

USA 9.8% 0.6% 33.5% 33.9% 5.0% 13.9% 5.4% 14.7% 1.8% 51.7% 5.1% 0.9% 11.3%

Other Americas 1.8% 0.0% 26.4% 29.0% 2.3% 15.4% 1.8% 15.8% 0.0% 43.6% 0.6% 0.5% 13.0%


Australia 10.7% 0.3% 57.7% 26.8% 4.2% 8.1% 3.4% 7.6% 0.6% 57.5% 3.1% 0.9% 6.2%


India 6.1% 0.0% 44.1% 23.9% 5.0% 10.7% 4.6% 9.1% 0.0% 44.6% 2.3% 1.7% 14.6%

Japan 6.0% 0.0% 31.4% 25.4% 8.6% 12.2% 7.6% 7.4% 0.0% 33.8% 4.4% 0.0% 18.6%

New Zealand 9.6% 0.0% 54.8% 36.7% 0.0% 2.9% 3.8% 6.3% 2.0% 50.9% 0.0% 0.0% 5.3%

South Korea 0.6% 0.9% 37.1% 21.2% 7.3% 6.3% 6.9% 11.4% 0.0% 44.8% 5.0% 3.3% 28.4%


EUROPE 8.4% 0.6% 36.1% 40.7% 4.0% 12.4% 3.5% 10.0% 0.9% 37.6% 2.7% 0.4% 5.7%

Austria 7.5% 0.0% 49.2% 29.3% 2.0% 15.7% 5.0% 18.1% 0.0% 37.8% 3.7% 0.0% 3.3%

Belgium 7.2% 0.0% 42.0% 28.6% 1.9% 22.2% 1.9% 8.6% 0.6% 35.3% 0.7% 0.0% 3.9%

Denmark 5.9% 0.0% 24.4% 51.8% 3.0% 5.3% 4.9% 17.1% 2.3% 41.5% 1.0% 0.0% 8.2%

France 7.3% 1.3% 28.7% 39.8% 2.3% 14.3% 3.7% 13.1% 0.3% 42.0% 3.2% 0.4% 6.6%

Germany 7.8% 0.5% 31.3% 48.3% 3.2% 12.2% 3.2% 9.9% 1.6% 38.2% 2.4% 0.3% 3.8%

Italy 6.6% 0.0% 34.0% 43.7% 4.1% 10.1% 3.0% 9.7% 0.0% 39.1% 4.6% 0.0% 7.6%

Netherlands 12.0% 0.7% 22.2% 52.8% 4.0% 12.1% 2.5% 13.8% 0.9% 26.1% 2.4% 0.4% 4.1%

Russian Fed 8.7% 2.0% 29.3% 48.8% 2.8% 11.0% 3.7% 4.5% 0.0% 56.8% 5.2% 0.5% 5.8%

Spain 8.1% 0.0% 31.9% 42.6% 11.6% 11.9% 3.1% 14.1% 0.0% 42.4% 2.5% 0.0% 10.3%

Sweden 11.7% 1.3% 38.0% 33.5% 3.7% 7.9% 7.9% 11.6% 1.3% 51.9% 6.9% 0.0% 8.2%

Switzerland 15.2% 1.2% 34.1% 47.1% 11.2% 12.9% 4.6% 16.8% 5.6% 41.5% 2.3% 0.6% 3.1%

UK 6.0% 0.4% 44.4% 35.1% 4.3% 12.0% 2.8% 6.3% 0.2% 34.6% 2.4% 0.8% 7.0%

Other Europe 13.6% 0.8% 38.4% 34.3% 3.9% 13.6% 5.4% 10.5% 0.6% 41.7% 2.5% 0.5% 5.4%



2014

1.14. Appendix 15: Satisfaction Tables

Hospitable /

Friendly People Domestic Flights

Natural

Attractions

Public

Transportation Accommodation

Availability of

Information Service Levels

Safety and

Security

General

Infrastructure Value for money

Customs and

Immigration

Overall

satisfaction

AFRICA LAND 4.2 4.3 4.4 4.2 4.3 4.3 4.3 3.9 4.4 4.2 3.9 4.5

Botswana 4.5 4.6 4.4 4.3 4.4 4.4 4.5 4.0 4.4 4.3 4.4 4.7

Lesotho 4.3 4.4 4.8 4.4 4.4 4.3 4.2 4.0 4.7 4.2 4.1 4.2

Malawi 4.4 4.2 4.4 4.2 4.6 4.6 4.5 4.4 4.4 4.3 4.2 4.6

Mozambique 3.9 4.5 4.4 4.1 4.2 4.1 4.1 3.4 4.5 4.0 3.6 4.4

Namibia 3.7 4.2 4.3 4.0 3.4 4.0 4.0 3.9 4.4 4.3 3.9 4.3

Swaziland 4.3 4.5 4.7 4.4 4.6 4.4 4.3 4.0 4.6 4.3 4.3 4.4

Zambia 4.4 4.9 4.8 4.5 4.8 4.4 4.3 4.0 4.8 4.4 4.4 4.5

Zimbabwe 4.0 4.4 4.6 4.2 4.5 4.2 4.2 3.5 4.5 3.9 3.7 4.5

AFRICA AIR 4.3 4.5 4.8 4.3 4.5 4.3 4.3 3.9 4.5 4.4 4.3 4.4

Angola 4.5 4.6 4.9 4.5 4.6 4.4 4.4 4.1 4.6 4.4 4.5 4.5

Democratic Republic of Congo 3.8 4.5 4.8 4.0 4.7 4.5 4.4 4.2 4.8 4.7 4.5 4.3

Ethiopia 4.6 5.0 5.0 4.8 4.7 4.4 4.3 3.9 4.6 4.5 4.4 4.5

Ghana 4.1 4.6 4.7 4.2 4.4 4.3 4.2 3.8 4.5 4.1 4.0 4.1

Kenya 4.3 2.8 4.4 4.0 4.4 4.5 4.3 4.1 4.3 4.4 4.4 4.4

Nigeria 4.4 4.4 4.8 4.4 4.8 4.6 4.5 4.1 4.7 4.6 4.6 4.8

Tanzania 4.3 4.7 4.7 4.3 4.6 4.3 4.3 3.9 4.7 4.3 4.3 4.3

Uganda 4.0 4.4 4.3 4.1 4.5 4.1 4.0 3.5 4.5 3.8 3.2 4.4

Other Africa and Middle East 4.6 4.5 4.9 4.0 4.5 4.3 4.3 3.9 4.1 4.7 4.4 4.5

AMERICAS 4.6 4.4 4.8 3.7 4.4 4.2 4.2 3.8 4.0 4.6 4.3 4.5

Argentina 4.8 4.5 4.9 3.2 4.3 4.0 4.1 3.6 4.2 4.3 4.6 4.5

Brazil 4.6 4.5 4.9 3.3 4.5 4.3 4.3 3.8 4.2 4.3 4.2 4.4

Canada 4.6 4.5 4.8 4.0 4.5 4.3 4.3 3.9 4.2 4.7 4.4 4.6

USA 4.6 4.5 4.9 4.2 4.5 4.3 4.3 3.9 4.1 4.7 4.4 4.6

Other Americas 4.4 4.3 4.8 3.9 4.3 4.0 4.1 3.7 4.0 4.2 4.1 4.2

ASIA & AUSTRALASIA 4.8 4.6 4.9 4.1 4.6 4.2 4.4 3.8 4.3 4.6 4.4 4.5

Australia 4.4 4.4 4.8 3.7 4.5 4.2 4.2 3.7 3.9 4.5 4.2 4.4

China including Hong Kong 4.2 4.1 4.8 3.5 3.9 3.7 3.8 3.6 3.7 3.9 3.8 3.9

India 4.5 4.4 4.8 4.0 4.4 4.2 4.2 3.7 4.3 4.3 4.3 4.4

Japan 4.4 4.3 4.8 4.1 4.4 4.0 4.2 3.8 4.0 4.3 4.1 4.2

New Zealand 4.3 4.2 4.7 3.4 4.3 4.0 4.1 3.5 3.6 4.5 4.0 4.4

South Korea 4.3 4.4 4.7 4.3 4.4 4.0 3.9 3.9 4.0 4.1 3.8 4.0

Other Asia and Australasia 4.5 4.5 4.9 4.3 4.5 4.2 4.2 3.8 4.2 4.3 4.3 4.4

EUROPE 4.6 4.4 4.9 3.9 4.5 4.2 4.3 3.8 4.0 4.7 4.3 4.5

Austria 4.4 4.5 4.9 4.2 4.5 4.2 4.3 3.8 4.3 4.5 4.3 4.5

Belgium 4.6 4.3 4.9 3.9 4.5 4.1 4.2 3.8 4.0 4.8 4.3 4.6

Denmark 4.6 4.5 4.8 3.9 4.4 4.3 4.3 3.9 4.1 4.7 4.3 4.5

France 4.6 4.4 4.9 4.0 4.4 4.2 4.3 3.8 4.0 4.6 4.3 4.5

Germany 4.6 4.6 4.9 3.9 4.5 4.3 4.3 4.0 4.1 4.7 4.4 4.6

Italy 4.6 4.4 4.9 3.9 4.4 4.2 4.3 3.8 4.0 4.7 4.3 4.5

Netherlands 4.5 4.3 4.8 3.7 4.4 4.0 4.1 3.7 3.9 4.8 4.5 4.6

Russian Fed 4.6 4.5 4.9 3.9 4.4 4.3 4.3 3.9 4.0 4.7 4.4 4.6

Spain 4.4 4.7 4.9 4.3 4.5 3.9 4.1 3.9 4.0 4.4 4.2 4.4

Sweden 4.6 4.5 4.9 4.2 4.5 4.3 4.3 3.9 4.2 4.7 4.3 4.6

Switzerland 4.7 4.5 4.9 4.3 4.6 4.2 4.3 4.0 4.1 4.7 4.4 4.6

UK 4.7 4.3 4.8 4.1 4.5 4.2 4.3 3.9 4.0 4.8 4.3 4.5

Other Europe 4.6 4.4 4.8 4.0 4.5 4.3 4.3 3.9 4.1 4.7 4.3 4.5

ALL FOREIGN TOURISTS 4.3 4.3 4.5 4.2 4.4 4.2 4.2 3.9 4.4 4.3 4.0 4.5

Notes:

Blank cells indicate that the sample is not big enough for a valid statistical interpretation.

SATISFACTION RATING OF SOUTH AFRICA

2016


Hospitable /


Natural

Attractions

Public


Availability of


Safety and

Security

General


Customs and

Immigration

Overall

satisfaction

AFRICA LAND 4.3 0.1 2.7 2.7 2.1 3.3 4.2 4.0 4.2 4.2 4.0

Botswana 4.7 0.1 2.2 0.6 1.4 4.5 4.4 4.1 4.4 4.3 4.5

Lesotho 4.2 2.3 3.6 3.6 4.3 4.3 4.2 4.2 4.3 4.3 4.3

Malawi 4.2 0.1 1.5 3.8 1.5 2.1 4.0 3.8 4.2 4.1 4.0

Mozambique 4.4 0.2 2.9 4.1 2.4 4.1 4.2 4.0 4.2 4.3 4.2

Namibia 4.4 0.1 4.2 4.5 1.4 4.4 4.5 4.3 4.5 4.3 3.7

Swaziland 4.3 2.2 3.3 3.4 3.4 4.2 4.2 4.1 4.3 4.1 4.2

Zambia 4.3 2.8 3.9 3.6 4.1 4.2 4.2 4.2 4.3 4.2 4.2

Zimbabwe 4.3 0.6 3.4 3.7 3.2 4.2 4.2 4.2 4.3 4.2 4.2

AFRICA AIR 4.3 2.2 3.4 3.1 3.8 4.2 4.3 4.2 4.3 4.2 4.3

Angola 4.4 2.0 3.7 3.2 3.8 4.5 4.5 4.4 4.4 4.5 4.5

Democratic Republic of Congo 4.2 2.3 3.4 3.2 3.4 4.2 4.2 4.1 4.2 4.1 4.1

Ethiopia 4.1 2.2 3.5 3.2 3.6 4.2 4.1 3.9 4.2 4.1 4.2

Ghana 4.2 1.8 3.2 3.1 3.5 4.1 4.2 4.0 4.2 4.0 4.1

Kenya 4.8 0.4 2.7 0.8 3.1 2.4 4.6 4.5 4.5 4.7 4.3

Nigeria 4.1 0.0 2.3 3.1 1.6 1.5 3.7 3.4 3.7 3.7 3.9

Tanzania 4.2 1.9 3.0 3.4 4.0 4.1 4.2 4.0 4.2 4.2 4.2

Uganda 4.3 0.1 2.9 1.0 3.2 3.9 4.2 4.1 4.2 4.2 4.1

Other Africa and Middle East 4.6 2.9 4.0 1.6 4.1 4.1 4.4 4.1 4.2 4.4 4.4

AMERICAS 4.6 2.5 3.7 1.0 3.5 3.8 4.3 3.9 4.1 4.3 4.3

Argentina 4.4 3.1 3.8 2.4 4.1 4.1 4.2 4.3 4.1 4.2 4.2

Brazil 4.4 3.0 3.8 2.2 3.9 4.3 4.1 4.0 4.2 4.2 4.2

Canada 4.7 3.1 4.2 1.1 3.9 4.2 4.3 4.0 4.2 4.5 4.4

USA 4.6 2.9 4.0 1.6 4.1 4.0 4.4 4.1 4.2 4.5 4.4

Other Americas 4.5 2.5 3.8 2.2 3.8 4.2 4.3 4.1 4.3 4.3 4.3

ASIA & AUSTRALASIA 4.5 2.4 3.3 1.8 4.1 4.2 4.3 4.1 4.2 4.2 4.3

Australia 4.6 3.2 4.2 2.1 3.4 4.1 4.4 4.1 4.3 4.4 4.4

China including Hong Kong 4.5 2.2 3.7 2.7 4.1 4.4 4.4 4.3 4.3 4.3 4.4

India 4.4 2.4 3.6 1.9 3.7 4.1 4.3 4.0 4.2 4.2 4.2

Japan 4.5 2.6 3.6 2.6 4.3 4.4 4.4 4.3 4.4 4.4 4.3

New Zealand 4.5 2.5 4.1 1.0 2.9 4.0 4.3 3.9 4.2 4.3 4.3

South Korea 4.5 2.3 3.3 1.0 4.0 3.7 4.1 3.8 4.1 4.2 4.1

Other Asia and Australasia 4.6 2.0 3.9 2.5 4.0 4.4 4.5 4.3 4.4 4.3 4.4

EUROPE 4.7 2.3 4.0 1.4 3.9 4.2 4.4 4.2 4.3 4.5 4.5

Austria 4.4 2.3 3.4 2.7 3.9 4.2 4.2 4.2 4.2 4.3 4.2

Belgium 4.6 1.9 3.8 1.3 3.9 4.1 4.4 4.1 4.2 4.5 4.4

Denmark 4.7 1.9 3.7 1.1 3.9 4.2 4.4 4.2 4.3 4.6 4.5

France 4.8 2.2 4.5 1.4 4.3 4.2 4.4 4.2 4.4 4.6 4.5

Germany 4.6 2.2 3.6 1.3 4.1 4.1 4.3 4.1 4.3 4.5 4.4

Italy 4.7 2.4 4.1 1.2 4.1 4.2 4.4 4.1 4.3 4.6 4.5

Netherlands 4.7 2.6 3.6 1.1 4.3 4.0 4.4 4.2 4.2 4.5 4.4

Russian Fed 4.8 2.1 4.4 1.6 4.1 4.5 4.6 4.5 4.5 4.7 4.6

Spain 4.4 2.4 2.9 0.5 3.8 3.7 4.1 3.8 4.0 4.3 4.3

Sweden 4.6 2.2 3.9 1.2 3.9 4.1 4.3 4.0 4.3 4.4 4.5

Switzerland 4.5 3.1 3.8 0.7 3.8 3.6 4.2 3.9 4.0 4.5 4.3

UK 4.7 2.5 4.3 1.0 3.8 4.3 4.3 4.0 4.2 4.5 4.5

Other Europe 4.7 2.2 4.1 1.7 3.8 4.3 4.5 4.3 4.4 4.6 4.5

ALL FOREIGN TOURISTS 4.4 0.8 3.0 2.4 2.6 3.6 4.2 4.0 4.2 4.2 4.1

Notes:

Blank cells indicate that the sample is not big enough for a valid statistical interpretation. Overall Satisfaction not asked in 2015


2015


Hospitable /


Natural

Attractions

Public


Availability of


Safety and

Security

General


Customs and

Immigration

Overall

satisfaction

AFRICA LAND 4.4 0.1 2.7 2.5 2.2 3.3 4.2 4.0 4.2 4.3 4.0

Botswana 4.7 0.2 2.0 0.6 1.5 4.3 4.1 4.0 4.1 3.9 4.5

Lesotho 4.3 2.3 3.3 2.8 4.0 4.1 4.1 4.1 4.3 4.1 4.1

Malawi 4.4 0.0 1.7 3.7 0.3 2.1 3.8 3.7 4.2 4.0 3.9

Mozambique 4.6 0.2 3.2 3.8 3.0 4.0 4.4 4.2 4.3 4.5 4.2

Namibia 4.3 0.2 4.4 3.7 3.0 4.4 4.5 4.4 4.3 4.5 3.9

Swaziland 4.3 1.9 3.2 2.8 3.6 4.1 4.2 4.0 4.3 4.1 4.2

Zambia 4.3 2.3 3.7 3.0 4.0 4.2 4.0 4.1 4.2 4.2 4.1

Zimbabwe 4.4 0.5 3.2 3.5 3.3 4.1 4.2 4.2 4.4 4.5 4.2

AFRICA AIR 4.3 1.9 3.3 2.5 3.6 4.1 4.1 4.0 4.2 4.2 4.2

Angola 4.3 1.7 3.5 2.7 3.6 4.2 4.3 4.1 4.3 4.2 4.3

Democratic Republic of Congo 4.3 1.8 3.4 2.6 3.3 4.1 4.1 4.0 4.1 4.1 4.0

Ethiopia 4.2 2.1 3.5 2.6 3.8 4.1 4.1 4.0 4.3 4.1 4.1

Ghana 4.1 1.9 3.7 2.9 3.5 4.1 4.0 3.9 4.2 3.9 4.0

Kenya 4.7 0.4 2.6 1.1 3.9 2.6 4.6 4.5 4.3 4.6 4.4

Nigeria 4.2 0.0 2.2 3.1 1.4 1.6 3.6 3.2 3.5 3.6 3.8

Tanzania 4.3 1.7 2.8 2.4 3.4 4.2 4.1 4.1 4.2 4.1 4.2

Uganda 4.6 0.1 2.4 1.0 3.1 3.9 4.4 4.3 4.3 4.5 4.2

Other Africa and Middle East 4.6 2.5 3.6 1.3 3.9 4.0 4.3 3.9 4.1 4.4 4.3

AMERICAS 4.6 2.3 3.8 1.3 3.9 4.2 4.4 4.0 4.2 4.5 4.4

Argentina 4.5 3.0 4.1 2.7 4.1 4.1 4.2 4.2 4.2 4.1 4.2

Brazil 4.5 2.6 3.8 1.8 4.1 4.2 4.2 4.0 4.3 4.2 4.2

Canada 4.6 2.5 3.8 1.0 3.6 4.0 4.2 3.8 4.1 4.5 4.5

USA 4.6 2.5 3.6 1.1 3.9 3.9 4.3 3.9 4.0 4.4 4.3

Other Americas 4.5 2.6 3.9 1.4 3.9 4.2 4.3 3.9 4.2 4.2 4.3

ASIA & AUSTRALASIA 4.5 2.2 3.6 2.3 4.1 4.4 4.4 4.3 4.3 4.2 4.4

Australia 4.5 2.8 4.0 1.2 3.1 4.0 4.2 3.8 3.9 4.3 4.2

China including Hong Kong 4.7 3.0 4.5 1.4 4.5 4.5 4.6 4.0 4.6 4.2 4.6

India 4.4 2.3 3.4 1.4 3.7 4.0 4.2 3.9 4.1 4.0 4.1

Japan 4.3 1.9 3.4 1.8 4.2 4.3 4.3 4.1 4.3 4.1 4.2

New Zealand 4.5 2.5 3.6 0.9 3.2 4.1 4.2 3.7 4.0 4.3 4.1

South Korea 4.2 2.5 3.4 2.1 4.1 3.9 4.0 4.0 4.0 4.0 4.1

Other Asia and Australasia 4.5 2.0 3.2 1.8 3.9 4.1 4.2 4.0 4.1 4.1 4.2

EUROPE 4.6 2.1 4.0 1.3 4.0 4.2 4.4 4.1 4.2 4.5 4.5

Austria 4.3 1.9 3.1 2.0 3.6 4.0 4.1 3.8 4.2 4.2 4.2

Belgium 4.6 2.1 3.9 1.4 3.8 4.1 4.2 4.0 4.2 4.5 4.4

Denmark 4.6 1.9 3.7 1.5 4.1 4.2 4.4 4.1 4.2 4.5 4.5

France 4.7 2.6 4.5 1.0 4.1 4.4 4.4 4.0 4.2 4.7 4.6

Germany 4.6 2.0 3.6 1.1 4.3 4.2 4.4 4.0 4.1 4.5 4.5

Italy 4.7 2.1 4.1 1.1 4.2 4.3 4.5 4.1 4.2 4.5 4.5

Netherlands 4.6 2.0 3.5 0.7 4.2 3.9 4.2 3.7 4.0 4.5 4.2

Russian Fed 4.7 1.9 4.6 1.6 4.3 4.4 4.5 4.3 4.4 4.6 4.6

Spain 4.5 2.7 3.1 0.9 3.8 3.8 4.3 3.7 3.9 4.3 4.3

Sweden 4.6 2.2 3.7 1.2 4.3 4.2 4.1 3.8 4.1 4.5 4.3

Switzerland 4.5 2.5 3.2 0.8 4.1 3.9 4.2 3.7 3.9 4.5 4.3

UK 4.7 2.4 4.0 1.4 3.9 4.4 4.3 3.9 4.2 4.5 4.5

Other Europe 4.6 2.1 4.2 1.5 3.8 4.2 4.4 4.1 4.3 4.5 4.4

ALL FOREIGN TOURISTS 4.5 0.7 3.0 2.2 2.6 3.6 4.2 4.0 4.2 4.3 4.1

Notes:

Blank cells indicate that the sample is not big enough for a valid statistical interpretation. Overall Satisfaction not asked in 2014

2014


2. SA Tourism’s Departure Survey

South African Tourism conducts surveys of departing foreign tourists to gain an understanding of the travel behaviour, perceptions, buying process, travel patterns and the amount spent on their trip in South Africa. These surveys are designed primarily to provide information on which we base our marketing decisions and track the performance of the industry. These surveys are the only measure of tourism demand in South Africa. Since 2002, South African Tourism has commissioned a monthly survey of departing foreign visitors 18 years and older exiting through OR Tambo International Airport, Cape Town International Airport and the following 12 land border posts.

Kopfontein (Botswana)

Pioneer Gate (Botswana)

Groblers Brug (Botswana)

Ramathlabama (Botswana)

Lebombo (Mozambique)

Ficksburg (Lesotho)

Maseru (Lesotho)

Oshoek (Swaziland)

Golela (Swaziland)

Beit Bridge (Zimbabwe)

Nakop (Namibia)

Vioolsdrif (Namibia)

All interviews are conducted using tablet-aided personal interviews in a face-to-face method. The surveys are conducted in the following 17 languages: English, German, French, Italian, Spanish, Portuguese, Dutch, Japanese, Mandarin, Siswati, Sotho, Tswana, Shona, Ndebele, Afrikaans, Xhosa and Zulu. The Departure Survey samples 3,800 respondents aged 18 years and older each month using Tablet Aided Personal Interviewing (TAPI) in the departure lounges of the two major international airports and within the controlled area on the South African side of the land border posts. The results of the survey are weighted to the foreign tourist arrivals data for the reference period as released by Statistics SA in their monthly release P0351. The variables mode of arrival and country of residence are using in the weighting framework.


2.1. Sample design

A random stratified probability sample is drawn proportional to the actual tourist arrivals using the same month of the previous year. Sampling units are the two major airports and 10 land borders mentioned above.

The total sample size at the airports is 3,800 per month, while the land survey consists of 1,000 per month.

Stratified Probability Sampling

Stratified Random Sampling

Strata Systematic Random Sampling 1 in 5

Reasons: Eliminates bias

Results can be inferred to the foreign tourist population

Stratified Sampling

Representative sample at each

airport and each market.

Systematic Sampling

•Manage Randomness

•Determining a random start

• Eliminates obvious bias

• Eliminates interviewer bias

1 in 5

• K < 5 would introduce bias

• K > 5 will cause difficulty in

reaching the target

Reasons for the Sampling Methods

K = Interval

Airport Sample Jan-Mar 2016 Country Land Border Sample Jan-Mar 2016

O. R. Tambo International 2980 Botswana Kopfontein 80

Cape Town International Airport 820 Pioneer Gate 40

Total Air Sample 3800 Ramathlabama 40

Groblers brug 60

Lesotho Ficksburg 80

Maseru 85

Malawi Beit Bridge 20

Mozambique Lebombo 220

Namibia Nakop 15

Vioolsdrift 35

Swaziland Golela 45

Oshoek 90

Zambia Beit Bridge 20

Zimbabwe Beit Bridge 170

Total Land Sample All Borders 1000

Airport Intervention Land Border Intervention


2.2. Data reliability

The table below provides the confidence intervals at 95% confidence for the length of stay and spend estimates reported. This simply means that there is a 95% chance that the data reported falls between the ranges below.

TFDS (excluding capital expenditure)

Mean Lower bound Upper bound

Land markets R 5 200 R 4 940 R 5 460

Air markets R 19 300 R 18 335 R 20 265

Total R 9 000 R 8 550 R 9 450

Length of stay

Mean Lower bound Upper bound

Land markets 8.80 8.36 9.24

Air markets 13.40 12.73 14.07

Total 10.00 9.50 10.50

2.3. Normalising expenditure data

SA Tourism now normalizes the spend data by eliminating 3-standard deviations from the logarithmic mean. y = log10 (x)

1. Compute log of spend variable using the formula above

2. Calculate the mean of the result obtained in (1) above.

3. Determine the cut-off criteria using the following formula:

4. Transform the log values back to spend values using the following

formula:


5. Exclude all variables that fall outside the cut-off values.

3. SA Tourism’s Domestic Tourism Survey

In 2007, South African Tourism commissioned a monthly domestic survey designed to measure headline indicators and ensure a proper representation of existing travel trends and the characteristics of travellers in the national population. The following key indicators are measured:

Volume: the incidence of domestic travel and how many trips are taken Value: how much is spent annually by domestic tourists Number of bednights: The number of nights spent in various

establishments Provincial distribution: How the volume, value and bednights are

distributed between the nine provinces Seasonality: When do people travel?

All interviews are conducted using paper-based personal interviews in a face-to-face method. The Domestic Survey samples 1,300 respondents aged 18 years and older each month. Each interview consists of two modules:

Random questionnaire: measures the headline indicators and perceptions of various ad campaigns run by SA Tourism

Trip module: collects detailed information on each trip undertaken by respondent in the past month. Separate trip module completed for each trip undertaken

3.1. Sample design

The sample of 1,300 (face-to-face) interviews per month (325 enumerator areas) is designed as a multi-stage, stratified and clustered probability sample, representative of the national population of SA residents aged 18 years and older. Only province and dominant population group are used as explicit stratification variables. The Northern Cape and the Asian population is over sampled to ensure representivity, while the rural population is under sampled on the assumption of homogeneity of this population.


A sampling frame is created as follows:

The sample is drawn as a rolling monthly sample in such a way that every consecutive period of three months can be used as period for reporting (after benchmarked to the 18+ population of SA).

The results of the survey are weighted back to the population is three stages: • First stage: EAs are selected with probability proportional to size (pps)

from sampling frame

• Develop EA Weight

Stage 1

Stage 2

Stage 3

Stage 4

• Explicitly stratified by province, race, geo-type

• Implicitly stratified by main place (magisterial district) and sub place (suburb)

• PPS sampling used to draw sample of EAs - probability proportional to the size of the cluster i.e. number of persons 18 years and older

• EPSEM to draw four households per EA - walk and skip pattern• Record hit rates, contacts, refusals, unsuitable respondents

• Kish Grid used to select a household member aged 18 years and older to be interviewed in the selected household

Sampling stages


1

18

18 .

POP

PSUnW EAPSU ,

• EAn is the allocated number of EAs over the 12 months in the

stratum,

• 18PSU the number of persons aged 18 years and older in the

selected EA, and

18Pop is the number of persons aged 18 years and older in the selected

stratum. • Second stage: Households are selected systematically in each EA

• Develop Household weight

1

HH

HHPSUHH

PSU

nWW ,

HHn is the number of selected households in the selected

PSU,

HHPSU is the number of household available in the PSU.

• Third stage in sample design: draw one person 18 years+ randomly from the selected household.

• Develop respondent weight: is the number of persons aged 18 years and older in the selected household


The final sample record weight generally consists of three components: • design weight, • reciprocal value of response rate, • adjusted weighting factor to compensate for non-

coverage/skewness

3.2. Normalising expenditure data

The expenditure data is analysed on a monthly basis to measure effect on travel patterns and the absolute values of the key variables. A methodology using above two standard deviations is applied when necessary to normalise the data.

3.3. Data reliability

With such a low incidence, this report could not reflect data for all the provinces. Only the provinces and purpose of travel data with a sample (unweighted n) count of above 20 were reflected on the report.


4. Glossary of terms

Tourism is not an industry in the traditional sense because industries are classified according to the goods and services they produce, while tourism is a consumption-based concept that depends on the status of the consumer. This is the major reason for the difficulty in measuring tourism’s contribution to the economy of any country. With the growing significance of tourism globally and the increasing economic interdependence between countries, it is becoming vital that there is a common language for defining and measuring tourism statistics. SA Tourism in conjunction with the Department of Environmental Affairs and Tourism and Statistics South Africa undertook an exercise to develop a set of tourism definitions that are aligned to global standards. This process involved user consultation and the agreed definitions are published in the Statistics South Africa document titled “Concepts and Definitions for Statistics South Africa 2007”. SA Tourism has now aligned its reporting to these approved definitions.

Visitor - Any person travelling to a place other than that of his/her usual environment for less than 12 months, and whose main purpose of the trip is other than the exercise of an activity remunerated from within the place visited.

Same day visitor – A visitor who visits a place for less than one night.

Tourist – A visitor who stays at least one night in the place visited. However since 2014 StatsSA is unable to include Transit tourists in Tourism and Migration reports and therefore our definition of tourism excludes transit tourists.

Usual environment - To be outside the ‘usual environment’ the person should travel more than 40 kilometres from his/her place of residence (one way) AND the place should NOT be visited more than once a week. This includes place of work and place of study. Leisure and recreational trips are included irrespective of frequency.

Country of residence - If a person resides (or intends to reside) for more than one year in a given country and has there his/her centre of economic interest (e.g. his/her major source of income), he/she is considered as a resident of this country.


International traveller - Any person on a trip between two or more localities in different countries.

International visitor - Any person who travels to a country other than that in which he/she has his/her residence but outside his/her usual environment for a period that is less than 12 months and whose main purpose of visit is other than the exercise of an activity remunerated from within the country visited.

International tourist - An international visitor who stays at least one night in collective or private accommodation in the country visited.

Foreign traveler - A person who resides outside South Africa and visits the country temporarily.

Foreign visitor - Visitor who is a resident of another country.

Domestic tourist - A resident visitor who visits within the economic territory of the country of reference.

Domestic visitor - A visitor whose country of residence is the country visited. They may be nationals of this country or foreigners.

Trip - A journey undertaken by one or more members of the household for at least one night away from home, where a person did not receive any remuneration (did not make any profit) at that destination. It is important to note that a trip must be complete. That means a trip is only applicable when a person returns to his/her place of residence.

Other terms commonly used by SA Tourism in its reports are: Land markets are countries where at least 60% of arrivals from the country

arrive by land. The countries are Botswana, Lesotho, Malawi, Mozambique, Namibia, Swaziland, Zambia and Zimbabwe.

Air markets are those countries where at least 60% of arrivals from the country arrive by air.

Compound Annual Growth Rate (CQGR) is the year over year growth rate applied to arrivals over a multiple-year period. The formula for calculating CQGR is: (Current Value/Base Value) ^(1/# of years) – 1.

Compound Quarterly Growth Rate is the year over year growth rate, within

a specific quarter, applied to arrivals over a multiple-year period.

http://www.advfn.com/money-words_term_2261_growth_rate.html


Total foreign direct spend in South Africa (TFDS) – the total amount spent directly in South Africa by all foreign tourists including amounts spent on goods for resale and capital investments.

Total Domestic Direct Spend (TDDS) is calculated by adding the per capita

spend for each trip taken in the period and reported in nominal terms, unless otherwise stated.

Capital expenditure – the amount spent by foreign tourists during his/her

trip and stay at the destination on capital investments such as property, houses, motor vehicles, artwork, furniture, jewellery, financial assets, etc.

quarter 1 2016 - performance...aug 16, 2016 · overall the first quarter of 2016 was good for...

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