Fashionable Travelling Woman

Tourism Sector

WRI Tourism Model

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The WRI Tourism Model was created to improve the quality and level of reporting on the visitor economy of local areas that will get complete, reliable and up to date data for our regions local tourism sector.


Our Model collects real data on what visitors are spending in each local government area and also estimates the economic value of the visitor economy as a whole.  We can also analyse the impact of specific events to better  understand what they offer to the local economy.

We created a pilot Tourism Model project in 2019 which was funded by the WRI Inland Research Fund, Destination Network Country and Outback NSW, Central NSW Joint Organisation and 10 Central West Councils.

The participating councils are Bathurst Regional Council, Blayney Shire Council, Cabonne Council, Cowra Shire Council, Forbes Shire Council, Lachlan Shire Council, Oberon Shire Council, Orange City Council, Parkes Shire Council and Weddin Shire Council.


There is an annual subscription fee applicable for each local government area.


If your council is not mentioned above you can call our office on 02 6333 4000 or email us for more information.

How do we collect the data?

WRI is collating data from a range of sources to estimate the visitor economy in council areas. This includes primary and secondary data sources which we will collate to produce a profile that estimates the value of the visitor economy and the characteristics of visitors to regions.

There are two surveys used:

  • Host/Visiting Friends and relatives – this online survey is designed to capture that hidden part of the visitor economy – how much do locals spend hosting their friends and relatives. It also captures any properties locals rent out that don’t use services like Air BnB, Homestay etc.

  • Accommodation survey – visitors are encouraged to complete this survey when they are checking out of accommodation, visiting attractions of using the Visitor Information Centres. The survey captures expenditure to better estimate with robust sample sizes what is actually being spent in local areas and where the visitors are staying and what they visit. It also assesses where they are going next to enable collaborative promotional campaigns.