Australian Bureau of Statistics
8635.0 - Tourist Accommodation, Australia, Sep 2005
Previous ISSUE Released at 11:30 AM (CANBERRA TIME) 10/01/2006
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3 With the exception of caravan parks, these establishments provide predominantly short-term non-residential accommodation, i.e. accommodation which is not leased, and which is provided to guests who would generally stay for periods of less than two months. Some of these establishments also provide long-term residential accommodation. The amount of such activity is considered to be insignificant and is included in the data presented in this publication.
4 Caravan parks provide either short-term or long-term accommodation. If a caravan park has the majority of sites occupied by paying guests who have stayed continuously for two months or more during the survey period, the caravan park is classified as long-term. Data for caravan parks are presented by short-term and long-term in this publication.
5 Previous to March quarter 2005, the scope of the STA comprised:
6 For the four quarters of 2000 and 2003, the scope of the STA was expanded to include:
7 The main source of coverage is from the Australian Automobile Association through AAA Tourism Pty Ltd. This is supplemented by notification of new tourism developments and their likely opening dates in selected guides, major tourism journals and periodicals and newspapers. Periodic comparison with lists of accommodation establishments provided by the various tourism organisations and industry associations is also undertaken.
TAKINGS FROM ACCOMMODATION
8 From 1 July 2000, takings from accommodation include gross revenue from the provision of accommodation, including GST. Takings from meals are excluded. Where businesses are unable to provide the data inclusive of GST, it is automatically adjusted by the ABS prior to aggregation and release in output.
9 Star grade classifications of establishments are continuously revised by AAA Tourism Pty Ltd. This should be taken into account when making comparisons over time. Any queries regarding the star grading process should be directed to AAA Tourism Pty Ltd on (03) 8601 2200 or email firstname.lastname@example.org.
10 Data by star grade for states and territories are no longer presented in this publication. These data are included in the data cubes that accompany this publication: Tourist Accommodation, Small Area Data (cat. no. 8635.0.55.002 for national data and cat. no. 8635.1.55.001 - 8635.8.55.001 for state/territory data).
11 Small area statistics for 2005 are classified to the Australian Standard Geographical Classification (ASGC), 2004 Edition (cat. no. 1216.0). Data are coded to the statistical local area (SLA) level.
12 These SLA data are aggregated to tourism regions as defined by relevant state and territory tourism organisations. Tourism regions are reviewed annually and are subject to boundary and name changes. Where changes have occurred care should be taken when making comparisons with previously published data at this level.
13 Data by tourism regions are no longer presented in this publication. Small area data are provided in the data cubes that accompany this publication: Tourist Accommodation, Small Area Data (cat. no. 8635.0.55.002 for national data and cat. no. 8635.1.55.001 - 8635.8.55.001 for state/territory data).
14 Details of SLAs, the composition of tourism regions and maps of tourism regions are provided in the ABS publication Tourism Region Maps and Concordance Files, Australia (cat. no. 9503.0.55.001) available from the ABS web site <www.abs.gov.au>.
15 The survey does not have a sample component and the data are not subject to sampling variability. However, other inaccuracies collectively referred to as non-sampling error may affect the data. These non-sampling errors may arise from a number of sources, including:
16 Every effort has been made to reduce non-sampling error to a minimum by careful design and testing of questionnaires, and efficient operating procedures and systems used to compile statistics.
17 The September quarter 2005 response rates were:
18 Missing data items are replaced by imputed values based on reported data. Average quarterly movements are applied to previously reported data for each non-responding unit to estimate values for missing data items. If previously reported data are not available, then data from a similar unit is used as a 'donor' for the missing data items. Note that donor imputation was used for non-responding units for hotels, motels and serviced apartments with 5 to 14 rooms as previous data was usually unavailable.
19 The September quarter 2005 imputation rates were:
BREAK IN TIME SERIES
20 In June quarter 2003, the ABS identified 132 licensed hotels with facilities, motels and guest houses and serviced apartments with 15 or more rooms which had been operating for a number of quarters but were not on the STA frame. These additional establishments were included in the STA from June quarter 2003.
21 The ABS also identified 74 caravan parks which were operating in the March quarter 2003 but were not on the STA frame. These caravan parks were included in the June, September and December quarter 2003 data, but not in the March quarter 2003 data.
22 The addition of these establishments resulted in a break in time series between March and June quarters 2003. The impact of the break in time series for hotels, motels and serviced apartments is explained in Appendix 1, Tourist Accommodation, Australia, December quarter 2003 (cat. no. 8635.0). The impact of the break in series for caravan parks is explained in the Appendix of Tourist Accommodation, Australia, Expanded Scope Collection, Year ended 31 December quarter 2003 (cat. no. 8635.0.55.001). Particular care needs to be taken for all calculations of percentage changes that cross the break in series.
23 Seasonal adjustment is a means of removing the estimated effects of normal seasonal variation from the original time series so that the effect of other influences on the series may be more clearly recognised. Seasonal adjustment procedures do not aim to remove the irregular or non-seasonal influences which may be present in any particular quarter. Irregular influences that are highly volatile can make it difficult to interpret the movement of the series even after adjustment for seasonal variation, and cannot be assumed to indicate changes in the trend.
24 The way in which seasonally adjusted and trend estimates were calculated changed from a Forward Factor methodology to a Concurrent methodology in March quarter 2003. The Forward Factor method relied on an annual analysis of the original time series to estimate seasonal factors that were to be applied in the forthcoming four quarters. Under this method the projected seasonal factors, or forward factors, were not updated until the next annual analysis. The Concurrent methodology uses the most up to date original time series available at each reference period to estimate seasonal factors thus eliminating the need to use projected seasonal factors.
25 Smoothing the seasonally adjusted series reduces the impact of the irregular component of the seasonally adjusted series and creates the trend estimates. The trend estimates are derived by applying a 7-term Henderson moving average to the quarterly seasonally adjusted series. The Henderson moving average used in the middle of the time series is symmetric but, as the end of a time series is approached, asymmetric forms of the symmetric moving average are applied. Unlike the weights of the standard 7-term Henderson moving average, the weights used with the quarterly data have been tailored to suit the particular characteristics of individual series.
26 While these techniques enable trend estimates for the latest period to be produced, the process does result in revisions to the trend estimates in recent quarters, particularly as additional original estimates become available. For further information refer to Information Paper: A Guide to Interpreting Time Series - Monitoring Trends, 2003 (cat. no. 1349.0) available at the ABS web site <www.abs.gov.au>.
EFFECTS OF ROUNDING
27 Where figures have been rounded, discrepancies may occur between totals and the sum of the component items.
28 Other ABS publications and products which may be of interest are outlined below. Please note, older publications may no longer be available through ABS bookshops but are available through ABS libraries. All publications released from 1998 onwards are available on the ABS web site <www.abs.gov.au>.
Tourist Accommodation, Small Area Data (cat. no. 8635.1.55.001-8635.8.55.001) (data cubes for each state/territory - issued quarterly)
Tourism Region Maps and Concordance Files, Australia (cat. no. 9503.0.55.001) (annual)
Tourist Accommodation, Australia, Expanded Scope Collection (cat. no. 8635.0.55.001) (irregular)
Short-term Visitor Arrivals Estimates, Australia (cat. no. 3401.0.55.001) (issued monthly)
Overseas Arrivals and Departures, Australia (cat. no. 3401.0) (issued monthly)
Australian National Accounts, Tourism Satellite Account (cat. no. 5249.0) (annual)
Directory of Tourism Statistics, 2001 (cat. no. 1130.0) (irregular)
29 Current publications and other products released by the ABS are listed in the Catalogue of Publications and Products (cat. no. 1101.0). The catalogue is available from any ABS office or the ABS web site <www.abs.gov.au>. The ABS also issues a daily Release Advice on the web site which details products to be released in the week ahead.
ABS DATA AVAILABLE ON REQUEST
30 As well as the statistics included in this publication, the ABS has other relevant data available on request. Inquiries should be made to the National Information and Referral Service on 1300 135 070.
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This page last updated 20 June 2006