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Information about the Accommodation Survey |
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Availability
| Valid From: .. | 07/01/1996 |
| To: .. | Ongoing |
| Frequency: .. | Monthly |
Design
Purpose: To provide an authoritative set of information on the supply and demand for accommodation that will be used in policy planning at the national and regional level.
The survey provides monthly data on capacity, occupancy rates, employee count and guest nights for each month, plus guest nights by usual region of residence of guests for every third month. Data are disaggregated by regional tourism organisation areas (which also include further regional disaggregation), and by accommodation type.
General Information ..Target Population
Geographic units (GEOs) on Statistics New Zealand's Business Frame with the Australian and New Zealand Standard Industrial Classification (ANZSIC) classifications H571000 (Accommodation) and part of H572000 (Pubs, Taverns and Bars). This classification is a component of ANZSIC Division H - Accommodation, Cafes and Restaurants.
The H571000 class specifically consists of hotels, motels and similar units mainly engaged in providing short term accommodation. Short term accommodation is defined as less than one month.
Primary activities of H571000 units are;
- Camping ground operation
- Caravan park operation
- Guest house operation
- Holiday houses and flats operation
- Hotel operation
- Motel operation
- Private hotel operation (short term accommodation)
- Ski-lodge operation
- Student residences operation (except boarding schools)*
- Youth hostel operation
Units mainly engaged in renting or leasing their own (including leased) residential properties or dwellings (other than holiday houses or flats) to others are included in Class 7711 - Residential Property Operators, and so are excluded from the survey. The survey further excludes hospitals, school and university hostels, prisons, work camps, nursing homes, time shares, school lodges, church lodges, trains, planes, ferries, baches, cribs, emergency shelters, night shelters, refuge, PSA houses, serviced apartments (when being used by owners), chartered boats, house swaps, and Outward Bound.
Statistical Unit
Geographic unit.
Statistical Units and the Business Frame
The Business Frame (BF) superseded the Business Directory (BD) in December 1996. The statistical units on the BF are Enterprises, kind of activity units (kaus) and geographic units (geos). These replace enterprises, accounting units and activity units, respectively, on the BD. The underlying concepts are unchanged.
Selection Unit
Initially, the survey population was selected from activity units on the Business Directory (BD) with the following primary New Zealand Standard Industrial Classification (NZSIC) classifications.
- 63211 Unlicensed Hotels
- 63213 Private Hotels, Boarding Houses, Guest Houses, Hostels
- 63220 Motor Camps, Caravan Parks, Cabins
- 63231 Hotels With A Tourist House License
- 63239 Other Licensed Hotels And Motels
- 63290 Other Accommodation n.e.c.
- 63141 Licensed And B.Y.O. Restaurants
- 63152 Licensed Taverns
The operations specifically excluded from the Target Population were not selected. Lists of accommodation providers were to be received from Regional Tourism Organisations (RTOs) and from the New Zealand Tourism Board (NZTB). Not all of the RTOs provided lists, so it was decided that the lists were not consistent enough to use for selecting the survey population, and only the BD was used.
Due to the NZSIC coding being removed from the Business Frame in 2003, the population is now selected based on ANZSIC code H571000 (Accommodation). Units with an ANZSIC code of H572000 (Pubs, Taverns and Bars) are now unable to be included in the population as they used to be differentiated by NZSIC code as to whether they should be in the survey or not.
Collection Unit
Geographic unit.
Under Coverage
The accommodation industry includes many small accommodation providers, especially in the hosted accommodation type (see Glossary). As the target population only includes economically significant establishments (GST registered, and with annual turnover of at least $30,000), many small establishments are not surveyed.
A second source of undercoverage arises from geographic units that provide some short term accommodation, but only as a secondary commercial activity. They have an NZSIC classification relating to their primary (non-accommodation) activity, and so are not selected from the BD/BF.
Population and Sample Size
The survey is a census (i.e. not a sample).
As at December 2004, the survey frame contained approximately 3,600 activity units.
AO/LF/01 - Accommodation Survey Longform AO/SF/01 - Accommodation Survey Short FormOutput Variables
Output variables are pieces of individual information that can be extracted from the survey/output data. Often output variables can be cross tabulated with other output variables, for example sales by industry classification. The list below contains all current and past output variables which have been released for this survey/output.
| Variable Name | Description | |
| | |
| Hot Off The Press, INFOS Variables | | |
| | |
| Number of Establishments | An establishment is the smallest statistical unit operating within a single enterprise. For the purpose of this survey, all establishments are geographic units on the Business Frame. | |
| | |
| Capacity (Stay Unit Nights) | This is the total capacity of all accommodation establishments in the area. Capacity for each establishment is the number of stay units in the establishment multiplied by the number of days in the month. A stay unit is the unit of accommodation which is available to be charged out to guests, e.g. a powered site in a caravan park, a bed in a backpacker, a room in a hotel or motel. | |
| | |
| Number of Guest Nights | A guest night is equivalent to one guest spending one night in an establishment. For example, a motel with 15 guests spending two nights would report provision of 30 guest nights of accommodation. | |
| | |
| Occupancy Rate | This derived variable is calculated by dividing total stay unit nights occupied by total stay unit nights available in the month. | |
| | |
| Average Length of Stay | This derived variable is calculated by dividing total guest nights by total guest first nights (guests arrivals). | |
| Employee Count | Head count of salary and wage earners sourced from taxation data. | |
| Additional Variables Included in the Monitors | | |
| | |
| Guest Arrivals (Guest First Nights) | This is the total number of guests who had the first night of their current stays during the month. Note that if a particular guest books out and then comes back for another stay, then they are counted as a guest arrival for a second time. | |
| | |
| Employment* | This includes full and part-time employees and working proprietors. The employment total is measured in terms of Full Time Equivalents (FTEs). Employees or working proprietors who work at least 30 hours per week are considered to be full-time, and each count as one FTE. Part-time workers (up to 30 hours per week) each count as half of an FTE. | |
| | |
| Turnover* | This is gross income from sales of goods and services during the month, GST exclusive. Cash and credit card sales received for accommodation, restaurant and bar services are included. Income from takings in a restaurant or bar that is leased by another enterprise or income from leasing out restaurant or bar facilities is not included. | |
| | |
| Residence Of Guest* | The country or area in which the guest normally lives/resides. | |
Changes in Output Variables over time
Guide to Interpreting Data
Summary of Changes to Survey/Output ..July 1996 - First reference period for the Accommodation Survey.
March 1997 - All periods revised with three changes incorporated;
- The use of the 'unit weight' to impute for unscoped units was discontinued as it was found that it had no significant impact on the results.
- Survey Methods made a recommendation for the revision of the imputation cells that are used as proxies for non-responding establishments. Imputation cells group similar accommodation establishments and initially the establishments in each cell were selected by judgement. With five months of data available, the imputation cells could be revised using more reliable information.
- The selection program was flawed, causing a decrease in the number of establishments in the survey frame over time. The program was failing to reinstate temporarily ceased units as they reopened.
August 2002 - Introduction of seasonally adjusted and trend series estimates for the total guest nights variable. This was introduced into the Hot Off The Press and Media Release publications only.
September 2002 - Introduction of seasonally adjusted and trend series estimates for the guest night variable for each of the five accommodation types. This was introduced into the Hot Off The Press and Media Release publications only.
October 2002 - Introduction of seasonally adjusted and trend series estimates for the guest night variable for the North Island and South Island. This was introduced into the Hot Off The Press and Media Release publications only.
December 2002 - The Accommodation Pivot Tables were introduced as an electronic component of the Hot Off the Press. Three Excel pivot tables are updated each month with the latest months data. These pivot tables are
- Regional Tourism Organisation (RTO) by Accommodation Type
- Total Accommodation by Territorial Authority (TA)
- Origin of Guests and Employment Information by Regional Tourism Organisation (RTO)
August 2003 - This was the last month that the Employment variable was collected on the questionnaire. This was replaced by the Employee Count variable which is derived from the Business Frame.
Usage and Limitations of the Data ..The survey provides detailed information on levels and trends in the accommodation industry. This can be used for business and government planning and marketing.
Related Data Sources ..The Retail Trade Survey provides turnover data on the accommodation industry (under the NZSIC coding).
Sampling Errors ..As the survey is a census there is no sampling error.
Non-sampling errors Non-sampling errors in the survey data may result from errors in the sample frame, respondent error, mistakes made during processing survey results and non-response imputation. These errors are not quantifiable.
The survey aims for a response rate of 75 percent.
Caveats on Release ..Response Rate caveats for Hot Off The Press
Non-response Imputation (in Commentary)
In calculating components of the Accommodation Survey, Statistics New Zealand imputes values for respondents who have not answered surveys based upon data from similar establishments in the same and/or similar areas. Non-response imputation introduces unknown errors into the estimates, and these should be taken into account when analysing the results from the survey. For more information about the survey quality, please refer to the Technical Notes or contact Statistics New Zealand.
Survey Errors (in Technical Notes)
This survey aims for 100 percent coverage of the population (that is, a full census). However, in practise an overall response rate of between 76 and 80 percent is usually achieved. The remaining units are given imputed values based upon the characteristics of similar establishments in the same and/or similar areas. Imputation introduces unknown errors into the estimates, and this should be borne in mind by users of the data. The size of these unknown errors is difficult to quantify.
Other non-sampling error occurs for reasons such as respondent-error, non-response, frame quality and errors in processing. While every effort is made to minimise these types of error, they will still occur. It is not possible to quantify their effect.
Response Rate caveats for Monitors
The Monitors include a statement similar to the following passage.
The response rate for the (RTO) area was (percent) percent for (month). This was (lower/higher) than the national response rate of (percent) percent, (but/and) (greater/lower) than the previous month's response rate for the area of (percent) percent.
If the survey response rate for a particular entry in a table (cell) is less than 60 percent, then a warning must be issued to state that the value of the cell may be of lower quality. This warning is commonly applied in the Monitors due to the fine geographic breakdown of the data. The warning is similar to the following.
There was a response rate of (percent) for (accommodation type), requiring a high level of imputation for their results. These estimates will be of lower quality and should be treated with caution.
If the response rate is below 40 percent, then the value is suppressed. The cell value will be replaced with '..s' to indicate the suppression. The suppression is explained in a caveat similar to the following.
The response rate for (accommodation type) was very low. There was a high level of imputation used for some of their results and therefore they have been suppressed.
Liability Disclaimer
Hot Off The Press releases include the standard Statistics New Zealand liability disclaimer. Monitors include a liability disclaimer similar to the following.
Statistics New Zealand gives no indemnity as to the correctness of the information or data supplied.
Statistics New Zealand shall not be liable for any loss or damage, whatsoever or howsoever arising directly or indirectly from the supply of the product.
Nor shall Statistics New Zealand be liable for anything arising by reason of force majeure, name circumstances beyond the control of Statistics New Zealand.
Customised Output
- Establishments (Number)
- Capacity (Stay Unit Nights)
- Guest Nights
- Guest Arrivals
- Occupancy Rate
- Average Length of Stay
- Employee Count
- Employment (every third month, but discontinued after August 2003)
- Turnover (every third month, but discontinued after January 1999)
- Residence of Guests (every third month)
Catalogue & Reference Numbers
| INFOS: | ACSM.S1xy is Monthly ACSQ.S1xy is Quarterly ACSA.S1xy is Annual where x=Accommodation Type and y=Particulars. Accommodation Type A= Hotels/Resorts B= Motels/Motor Inns/Apartments C= Hosted Accommodation (private hotels, guest houses, bed and breakfasts and farmstays). D= Backpackers/Hostels E= Caravan Parks/Camping Grounds X= Total Excluding Caravan Parks/Camping Grounds 9= Total Particulars A= Number of Establishments B= Capacity (Stay Unit Nights) C= Number of Guest Nights D= Occupancy Rate (Percent) E= Average Length of Stay (Nights) ACSM.S2Rxy is Monthly ACSQ.S2Rxy in Quarterly ACSA.S2Rxy is Annual where x=Regional Council Area and y=Particulars. Regional Council Area A= Northland B= Auckland C= Waikato D= Bay of Plenty E= Hawke's Bay, Gisborne F= Taranaki, Manawatu, Wanganui G= Wellington H= Nelson, Marlborough, Tasman I= Canterbury J= West Coast K= Otago L= Southland Z= Total Particulars A= Occupancy Rate B= Occupancy Rate Excluding Caravan Parks/Camping Grounds ACSM.S4[AST][A-E9][RSZ] is Monthly where A=Actual series, S=Seasonally adjusted series, T= Trend series, A=Hotels, B=Motels, C=Hosted, D=Backpackers, E=Camping grounds, 9=All accommodation types, R=North Island, S=South Island and Z=New Zealand |
Other Comments
Classification(s) used
Glossary of Terms
| Term | Description | |
| | |
| Accommodation Type |
| |
| Employee Count | see Output Variables / Variable section above. | |
| Enterprise | A business or service entity operating in New Zealand. It can be a company, partnership, trust, estate, incorporated society, producer board, local or central government organisation, voluntary organisation or self-employed individual. | |
| | |
| Establishment | see Output Variables / Variable section above. | |
| | |
| FTE | Full Time Equivalent; see Output Variables / Variable section above. | |
| | |
| Geographic (Activity) unit | A separate operating unit engaged in New Zealand in one, or predominately one, kind of economic activity from a single physical location or base. Called activity unit until December 1996 and then called geographic unit. | |
| | |
| Guest | A guest is one person staying in an accommodation establishment. This should not be confused with a stay unit, which is a room/bed/suite/campsite etc. that the establishment charges for. For example, a motel may have beds for five guests in a motel unit. If it charges one price for the motel unit, then this is one stay unit. It the stay unit is fully occupied in one night, then one stay unit night is used, and the number of guest nights is five. | |
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| Guest Night | see Output Variables / Variable section above. | |
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| Residence of Guest | see Output Variables / Variable section above. | |
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| Stay Unit | A stay unit is the unit of accommodation which is available to be charged out to guests, e.g. a powered site, a bed in a bunk room, a motel unit. | |
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| Turnover | see Output Variables / Variable section above. | |
Contact Details
| Customer Service E-mail Contact: | info@stats.govt.nz |
| |
| Survey Enquiries E-mail Contact: | info@stats.govt.nz |
Liability
Statistics New Zealand gives no warranty that the information or data supplied contains no errors. However, all care and diligence has been used in processing, analysing and extracting the information. Statistics New Zealand shall not be liable for any loss or damage suffered by the customer consequent upon the use directly, or indirectly, of the information supplied in this product.