[Day 1: Tuesday, 02 December, 2014]

16:15-18:00

• 16:15-18:00

• Session 6:

• Tourism

• Industries

• Statistics

16:15-18:00 Session 6: Tourism Industries Statistics

• 16:15-18:00 Session 6: Tourism Industries Statistics

• Indicators: Accommodations

• Besides the usual economic variables (output, value added, employment, consumption, investment), which are common to most economic activities, various other indicators have been developed over the years and are frequently used to assess the performance of accommodation establishments and of tourism policy:

• Room occupancy rates (gross or net)
• Bed-place occupancy rates (gross or net)
• Average number of persons per room
• Average room rate
• Average revenue per room night
• Average revenue per guest night
• (Average) revenue per available room (REVPAR)
• Employees per room
• Average wage per employee
• Revenue per employee

16:15-18:00 Session 6: Tourism Industries Statistics

• 16:15-18:00 Session 6: Tourism Industries Statistics

• Indicators: Accommodations

16:15-18:00 Session 6: Tourism Industries Statistics

• 16:15-18:00 Session 6: Tourism Industries Statistics

• Providers of non-market accommodation services for own final use: owner-occupied vacation homes and timeshares

• Regarding the “classical” owner-occupied vacation home, the first issue for a country is to identify dwellings used for that purpose, a task for tourism statisticians. The second issue is then to associate with such dwellings an imputed annual rent that represents the value of the service. This value would be an estimation of a tourism product. This task is the responsibility of national accountants when developing a TSA. The UN recommendation for housing censuses indicates how countries should identify dwellings not intended for year-round occupancy (see Box 6.5).

• The recommended classification of occupancy status for conventional dwellings is as follows:

• 1 Occupied
• 2 Vacant
• 2.1 Seasonally vacant
• 2.1.1 Holiday homes
• 2.1.2 Seasonal workers’ quarters
• 2.1.3 Other
• 2.2 Non-seasonally vacant
• 2.2.1 Secondary residences
• 2.2.2 For rent
• 2.2.3 For sale
• 2.2.4 For demolition
• 2.2.5 Other

16:15-18:00 Session 6: Tourism Industries Statistics

• 16:15-18:00 Session 6: Tourism Industries Statistics

• Providers of non-market accommodation services for own final use: owner-occupied vacation homes and timeshares

16:15-18:00 Session 6: Tourism Industries Statistics

• 16:15-18:00 Session 6: Tourism Industries Statistics

• Introduction

• Accommodation Service Providers

• Providers of Food and Beverage Services

• Providers of Transportation Services

• Travel and Reservation Agencies

• Other Non-Tourism Industries

• F1 Production and Trade of Handicrafts
• F2 The Meetings Industry

16:15-18:00 Session 6: Tourism Industries Statistics

• 16:15-18:00 Session 6: Tourism Industries Statistics

• ►Tourism Industries Statistics

• Chad:

• Tourism Industries Statistics

• Egypt:

• Tourism Industries Statistics

• Iran:

• Tourism Industries Statistics

• Sudan:

• Tourism Industries Statistics

09:00-11:00 Session 7: Employment in the Tourism Industries

• 09:00-11:00 Session 7: Employment in the Tourism Industries

• ► Measuring Employment in the Tourism Industries

• Presenter: UNWTO

• ► Current Country Practices in Measuring Employment in the Tourism Industries

• Country presentations

• ► Q&A Session

09:00-11:00 Session 7: Employment in the Tourism Industries

• 09:00-11:00 Session 7: Employment in the Tourism Industries

• ► Measuring Employment in the Tourism Industries Presenter: UNWTO

• Information on employment is very important in analysing any industry, but due to the increasing importance of tourism it is of particular interest in the case of tourism. Data on employment in the tourism industries is necessary for government and sector analysts in order to understand the underlying dynamics (type of employee, age, sex, education, occupation, etc.), improve productivity and competitiveness through education and training, evaluate labour costs and improve job prospects by evaluating labour structures and working conditions.(IRTS2008, 7.1)

• However, it should be recognized that the world of work in tourism is generally not well-known because reliable data on employment in the tourism industries are generally either not properly identified separately or are insufficiently compiled. For this reason, only a limited number of countries produce meaningful statistics on employment in the tourism industries.(7.2)

•