01.01.2014 Views

Tourism Statistics - Government of Botswana

Tourism Statistics - Government of Botswana

Tourism Statistics - Government of Botswana

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Table 2.1: Tourist Arrivals by Country <strong>of</strong> Residence (Overnight Visitors)<br />

Residence 2001 2002 2003 2004<br />

Africa South Africa 557,747 527,505 514,708 626,207<br />

Zimbabwe 354,230 454,847 550,994 576,328<br />

Namibia 50,251 64,001 69,587 57,542<br />

Zambia 41,430 25,637 83,588 72,492<br />

Americas USA 21,619 16,322 15,087 17,670<br />

Canada 2,632 1,932 2,065 2,811<br />

Far East Australia 5,669 5,728 5,708 5,595<br />

Japan 3,144 2,281 2,492 2,518<br />

Europe UK 18,486 20,548 18,518 24,069<br />

Germany 9,170 9,985 10,444 9,685<br />

Netherlands 6,342 6,377 6,146 4,929<br />

France 4,381 3,596 3,732 3,989<br />

Italy 3,087 2,323 2,782 3,196<br />

Total 1,193,399 1,273,814 1,405,985 1,522,847<br />

Source: <strong>Tourism</strong> <strong>Statistics</strong> 2001-2005, Department <strong>of</strong> <strong>Tourism</strong><br />

Tourist arrivals give an indication <strong>of</strong> numbers coming into <strong>Botswana</strong> but these numbers have to be<br />

converted into tourist expenditure. This requires information on how long visitors are staying in<br />

<strong>Botswana</strong> and how much they are spending in <strong>Botswana</strong>, as well as a breakdown <strong>of</strong> what<br />

products they are spending on.<br />

Visitor Surveys play the key role in estimating this information (See Annex 3 – Visitor Surveys).<br />

Key information from the Visitor Surveys on these three variables is set out below.<br />

Average Length <strong>of</strong> Stay<br />

Because a total figure for tourist arrivals embraces such a wide range <strong>of</strong> different types <strong>of</strong> visitor,<br />

many <strong>of</strong> them undertaking different activities and staying for varying periods, it is best to try to<br />

segment this total in various ways. „Country <strong>of</strong> residence‟ and the „purpose <strong>of</strong> visit‟ have been<br />

looked at in particular. Average length <strong>of</strong> stay varies according to the purpose <strong>of</strong> visit. Examples<br />

include some transit visitors who are staying for only a<br />

night whilst holiday visitors can be staying for nearly six<br />

nights on average. For our reference year <strong>of</strong> 2005/2006<br />

an average for the length <strong>of</strong> stay between the sample<br />

survey data for the Year 2005 and the Year 2006, as<br />

shown in Annex 3 - Table A3.1, has been adopted.<br />

In order to use figures with a lower relative sampling<br />

error, the sample data has <strong>of</strong>ten been brought together<br />

into larger groupings. The relative sampling error (the<br />

standard error times 1.96 – 95% confidence level) has<br />

been calculated as a percentage <strong>of</strong> the arithmetic mean.<br />

Photo 3: Interviewing at Tlokweng Gate<br />

Average Direct Expenditure per Day<br />

Expenditure data has been gleaned from the DOT visitor surveys for 2005 and 2006. In a similar<br />

manner to the „length <strong>of</strong> stay‟, for our reference year <strong>of</strong> 2005/2006, An average for the „expenditure<br />

per day‟ between the sample survey data for the Year 2005 and the Year 2006 has been adopted.<br />

Using the „country <strong>of</strong> residence‟ and the „purpose <strong>of</strong> visit‟ as a way <strong>of</strong> segmenting the total figures<br />

allows one to take into account the considerable disparity in „length <strong>of</strong> stay‟ and „expenditure per<br />

day‟ between individual tourist arrivals. The base figures for expenditure per day are shown in<br />

Annex 3 - Table A3.2. Ideally it is „good practice‟ to focus upon expenditure with relative sampling<br />

errors below 25%, but this has not always been possible in this process.<br />

13

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!