Commercial Accommodation Monitor: December 2017

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1 Commercial Accommodation Monitor: December 2017 Queenstown i

2 Reproduction of material Material in this report may be reproduced and published, provided that it does not purport to be published under government authority and that acknowledgement is made of this source. Citation Stats NZ (2018). Commercial Accommodation Monitor: December 2017 Queenstown. Wellington: Stats NZ. Published in February 2018 by Stats NZ Tatauranga Aotearoa Wellington, New Zealand ii

3 Preface Commercial Accommodation Monitor: December 2017 Queenstown presents comprehensive and impartial information on short-term commercial accommodation for the Queenstown Regional Tourism Organisation (RTO) area, from the Accommodation Survey. This survey is run by Stats NZ on behalf of the Ministry of Business, Innovation & Employment. The data relates to the areas covered by the following local authority: part of the Queenstown-Lakes District Comparisons of monthly data with the same month of the previous year need to be treated with caution, as data for one period may be influenced by events for which there is no equivalent in the previous period (eg Chinese New Year, Easter). For further data and commentary, see the monthly Accommodation Survey Hot Off the Press, and the monthly pivot tables with variables by RTO and local authority area both available on the Stats NZ website ( The January 2017 monitor will be released on 12 March Liz MacPherson Government Statistician iii

4 Standards and further information Percentage changes Percentage movements are, in a number of cases, calculated using data of greater precision than that published. This could result in slight variations. Rounding procedures On occasion, figures are rounded to the nearest thousand or some other convenient unit. This may result in a total disagreeing slightly with the total of the individual items as shown in tables. Where figures are rounded the unit is in general expressed in words below the table headings, but where space does not allow this the unit may be shown as (000) for thousands, etc. Source All data is compiled by Stats NZ, except where otherwise stated. Both administrative and survey data has been used in this report. Liability While all care and diligence has been used in processing, analysing and extracting data and information in this report, Stats NZ gives no warranty it is error free and will not be liable for any loss or damage suffered as a result of the use, directly or indirectly, of information in this report. Stats NZ Information Centre For help finding and using statistical information available on our website, contact the Information Centre: info@stats.govt.nz Phone toll-free: Phone international: Fax: Post: P O Box 2922, Wellington 6140, New Zealand Website: Contact for the Commercial Accommodation Monitor Zara Darbyshire or Mark Darbyshire Wellington info@stats.govt.nz iv

5 Contents List of tables and figures... vi 1 Highlights... 1 Monthly highlights... 1 Year ended highlights Accommodation variables Origin of guests National results Regional comparison Accommodation Survey technical notes v

6 List of tables and figures Tables by chapter 2 Accommodation variables 2.1 Queenstown accommodation variables by accommodation type Origin of guests 3.1 Queenstown and New Zealand monthly guest nights by origin of guest National results 4.1 Queenstown and New Zealand guest nights by accommodation type Regional comparison 5.1 Regional tourism organisation areas monthly guest nights by origin of guest Regional tourism organisation areas monthly occupancy rates by accommodation type Figures by chapter 1 Highlights 1.1 Queenstown RTO area monthly guest nights Queenstown RTO area monthly guest nights, change from same month of previous year Queenstown RTO area annual guest nights Queenstown RTO area annual guest nights, change from previous year Origin of guests 3.1 Queenstown RTO area monthly guest nights, by origin of guest... 6 vi

7 1 Highlights Monthly highlights In December 2017 compared with December 2016: Guest nights rose 3.6 percent to 352,472 International guest nights rose 6.3 percent to 260,528 Domestic guest nights fell 3.3 percent to 91,943 The average length of stay rose from 2.33 nights to 2.48 nights The overall occupancy rate rose from 74.3 percent to 79.2 percent The occupancy rate, excluding holiday parks, was 83.6 percent in December 2017 Accommodation capacity, excluding holiday parks, rose 1.1 percent. Response rates for December 2017 The response rate for the Queenstown RTO area was 80 percent for December The proportion of the origin-of-guest estimate from unadjusted data was 84 percent. Figure 1.1 Queenstown RTO Area Monthly Guest Nights 400 Guest nights (000) / / /17 0 J F M A M J J A S O N D Source: Stats NZ 1

8 Figure Percent Queenstown RTO Area Monthly Guest Nights Change from same month of previous year 2015/ / J F M A M J J A S O N D Source: Stats NZ Year ended highlights For the year ended December 2017 compared with the previous year: Guest nights rose 2.1 percent to 3,579,308 International guest nights rose 3.3 percent to 2,519,085 Domestic guest nights fell 0.7 percent to 1,060,223 The average length of stay rose from 2.55 nights to 2.57 nights The overall occupancy rate rose from 69.5 percent to 71.3 percent Accommodation capacity, excluding holiday parks, rose 0.6 percent. 2

9 Figure 1.3 Queenstown RTO Area Annual Guest Nights 4,000 Guest nights (000) 3,500 3,000 2,500 2,000 1,500 Dec-12 Mar-13 Jun-13 Sep-13 Dec-13 Mar-14 Jun-14 Sep-14 Dec-14 Mar-15 Jun-15 Sep-15 Dec-15 Mar-16 Jun-16 Sep-16 Dec-16 Mar-17 Jun-17 Sep-17 Dec-17 Year ended Source: Stats NZ Figure 1.4 Queenstown RTO Area Annual Guest Nights Change from previous year 12 Percent Dec-12 Mar-13 Jun-13 Sep-13 Dec-13 Mar-14 Jun-14 Sep-14 Dec-14 Mar-15 Jun-15 Sep-15 Dec-15 Mar-16 Jun-16 Sep-16 Dec-16 Mar-17 Jun-17 Sep-17 Dec-17 Source: Stats NZ Year ended 3

10 2 Accommodation variables In December 2017, compared with December 2016, there was an increase of 3.6 percent in total guest nights for the Queenstown RTO area. Hotels had the largest increase, followed by motels. Holiday parks had the largest decrease. For the year ended December 2017, compared with the previous December year, total guest nights for the Queenstown RTO area increased 2.1 percent. Motels had the largest increase, followed by holiday parks. See table 2.1 for comparisons of data across the main accommodation variables. 4

11 Table 2.1 Accommodation type Queenstown Accommodation Variables By accommodation type Monthly and year ended (1)(2) Monthly Annual December Percentage Year ended change December 2016 December 2017 Percentage change Guest nights Total guest nights 340, , ,506,749 3,579, International 245, , ,439,351 2,519, Domestic 95,116 91, ,067,398 1,060, Hotels 164, , ,825,131 1,839, Motels/apartments 67,031 71, , , Backpackers 62,707 61, , , Holiday parks 45,870 42, , , Occupancy rates (3) (%) Hotels Motels/apartments Backpackers C C Holiday parks C C Total Total excluding holiday parks (4) C C Average length of stay (5) Hotels Motels/apartments Backpackers Holiday parks Total Guest arrivals Hotels 63,657 69, , , Motels/apartments 23,526 23, , , Backpackers 29,428 28, , , Holiday parks 29,222 20, , , Total 145, , ,374,256 1,392, Establishments Hotels Motels/apartments Backpackers Holiday parks Total Capacity (6) Hotels 98, , ,154,921 1,161, Motels/apartments 34,720 35, , , Backpackers 67,704 66, , , Holiday parks 34,441 34, , , Total 235, , ,754,016 2,767, (1) Reclassifications, new businesses, ceased businesses, and temporary closures may affect figures. (2) Irregular events, such as airshow s and Easter, may affect percentage changes and other figures. (3) Occupancy rates are calculated as the ratio of used stay-unit nights to available stay-unit nights. (4) Holiday parks often have high capacity and can mislead w hen included in total occupancy rates. (5) Average length of stay is calculated as the ratio of guest nights to guest arrivals. (6) Capacity is calculated as the number of available stay-units multiplied by the number of days in the month. Symbol: C confidential 5

12 3 Origin of guests In December 2017, international guests accounted for 73.9 percent of all guest nights in the Queenstown RTO area. When compared with December 2016, the number of international guest nights spent in the area in December 2017 was up 6.3 percent to 260,528. Domestic guest nights decreased 3.3 percent, to 91,943, for the same period. The proportion of the origin-of-guest estimate from actual data was 84 percent for December Figure Guest nights (000) Queenstown RTO Area Monthly Guest Nights By origin of guest Domestic International Dec-16 Jan-17 Feb-17 Mar-17 Apr-17 May-17 Jun-17 Jul-17 Aug-17 Sep-17 Oct-17 Nov-17 Dec-17 Source: Stats NZ 6

13 Table 3.1 Queenstown and New Zealand Monthly Guest Nights By origin of guest Queenstow n RTO (1) area New Zealand Origin of guest Origin of guest Domestic International Total Domestic International Total Month 2016 Dec 95, , ,276 2,169,488 1,813,842 3,983, Jan 105, , ,563 2,844,918 2,054,537 4,899,455 Feb 79, , ,853 1,985,807 1,963,320 3,949,127 Mar 90, , ,090 2,028,090 1,837,951 3,866,041 Apr 97, , ,629 1,926,006 1,536,088 3,462,094 May 66, , ,835 1,457,780 1,043,047 2,500,827 Jun 74, , ,062 1,411, ,622 2,309,165 Jul 103, , ,759 1,649,217 1,024,216 2,673,433 Aug 94, , ,808 1,492, ,419 2,440,597 Sep 89, , ,117 1,639,056 1,030,456 2,669,511 Oct 87, , ,241 1,843,147 1,303,650 3,146,797 Nov 80, , ,879 1,732,137 1,673,546 3,405,683 Dec 91, , ,472 2,215,289 1,926,411 4,141,700 Percent change from the current month of the previous year Year ended December ,067,398 2,439,351 3,506,749 22,050,224 16,450,674 38,500,897 December ,060,223 2,519,085 3,579,308 22,225,169 17,239,262 39,464,431 Percent change from previous year (1) Regional tourism organisation 7

14 4 National results In December 2017, a total of 4,142,000 guest nights were spent in short-term commercial accommodation in New Zealand, an increase of 158,000 nights (4.0 percent) from December Both the North Island (up 50,000 or 2.1 percent) and South Island (up 109,000 or 6.5 percent) recorded an increase. All four accommodation types recorded an increase in guest nights in December 2017, compared with December Holiday parks had the largest increase in guest nights (up 78,000 or 7.2 percent), hotels (up 66,000 or 5.3 percent), motels (up 10,000 or 0.8 percent), and backpackers (up 5,000 or 1.0 percent). For the year ended December 2017, there were 39,464,000 guest nights, an increase of 964,000 (2.5 percent) from the previous December year. Refer to Table 4.1 for comparisons of data. Table 4.1 Queenstown and New Zealand Guest Nights By accommodation type Monthly and year ended Accommodation type Total guest nights to to 2017 December month Queenstow n RTO area Hotels 165, , , Motels 64,751 67,031 71, Backpackers 57,270 62,707 61, Holiday parks 40,048 45,870 42, Total 327, , , New Zealand Hotels 1,209,611 1,237,791 1,303, Motels 1,101,282 1,156,389 1,166, Backpackers 509, , , Holiday parks 1,031,851 1,081,525 1,159, Total 3,851,869 3,983,330 4,141, Year ended December Queenstow n RTO area Hotels 1,683,217 1,825,131 1,839, Motels 645, , , Backpackers 597, , , Holiday parks 312, , , Total 3,238,801 3,506,749 3,579, New Zealand Percentage change Hotels 12,831,880 13,606,865 13,932, Motels 11,463,575 12,128,919 12,359, Backpackers 4,934,375 5,154,200 5,210, Holiday parks 7,024,064 7,610,913 7,962, Total 36,253,894 38,500,897 39,464,

15 5 Regional comparison In December 2017, Canterbury recorded the largest increase in guest nights (up 61,000 or 18.6 percent) from December This was followed by Taupo (up 16,000 or 14.1 percent), Rotorua (up 14,000 or 6.1 percent), Northland (up 13,000 or 5.2 percent), and Queenstown (up 12,000 or 3.6 percent). Auckland recorded the largest decrease (down 4,000 or 0.7 percent), followed by Kapiti-Horowhenua (down 4,000 or 12.7 percent), Timaru (down 4,000 or 10.1 percent), Coromandel (down 3,000 or 2.7 percent), and Marlborough (down 3,000 or 3.4 percent). 9

16 Table 5.1 Regional Tourism Organisation Areas Monthly Guest Nights By origin of guest December guest nights RTO area Domestic International Total Percent age change Percent age change Percent age change Northland 160, , ,815 80, , , Auckland 351, , , , , , Coromandel 87,851 83, ,609 38, , , Waikato 96,189 95, ,181 47, , , Bay of Plenty 94,830 93, ,338 36, , , Rotorua 94, , , , , , Taupo 65,892 74, ,524 54, , , Whakatane- Kaw erau 29,382 32, ,633 8, ,015 40, Gisborne 41,157 38, ,164 7, ,321 46, Taranaki 53,797 56, ,189 14, ,986 70, Haw ke's Bay 92,172 95, ,200 41, , , Ruapehu 22,785 23, ,485 22, ,271 46, Manaw atu 37,330 35, ,860 7, ,191 43, Whanganui 16,495 13, ,405 5, ,900 18, Wairarapa 20,585 20, ,062 5, ,647 25, Kapiti-Horow henua 29,175 25, ,206 4, ,381 30, Wellington 140, , ,092 89, , , Marlborough 41,415 42, ,642 34, ,056 77, Nelson-Tasman 113, , ,305 71, , , Canterbury 156, , , , , , Hurunui 25,900 23, ,351 15, ,250 38, Mackenzie 22,023 23, ,207 62, ,230 86, Timaru 27,351 22, ,713 11, ,065 33, West Coast 50,412 49, , , , , Wanaka 39,320 44, ,737 61, , , Queenstow n 95,116 91, , , , , Waitaki 30,204 31, ,106 20, ,310 52, Central Otago 37,121 39, ,615 9, ,735 48, Dunedin 46,976 42, ,074 46, ,050 89, Clutha 5,017 6, ,910 4, ,928 10, Fiordland 21,495 21, ,704 71, ,199 92, Southland 22,826 23, ,501 21, ,327 44, Total 2,169,488 2,215, ,813,842 1,926, ,983,330 4,141,

17 Table 5.2 Regional Tourism Organisation Areas Monthly Occupancy Rates (1) By accommodation type RTO area December 2017 occupancy rate Accommodation type Hotels Motels Backpackers Holiday parks Total Percent Total excluding holiday parks (2) Northland Auckland Coromandel Waikato Bay of Plenty Rotorua Taupo Whakatane-Kaw erau C 59.7 C Gisborne C 60.9 C Taranaki Haw ke's Bay Ruapehu Manaw atu C C 36.0 C Whanganui C C 33.9 C Wairarapa C 52.9 C Kapiti-Horow henua C 57.4 C Wellington C C 62.0 C Marlborough Nelson-Tasman Canterbury Hurunui C 51.8 C Mackenzie C 51.9 C Timaru C 62.1 C West Coast Wanaka Queenstow n Waitaki Central Otago Dunedin Clutha C 38.8 C Fiordland Southland Total (1) Occupancy rates are calculated as the ratio of stay unit nights to monthly capacity. (2) Occupancy rates excluding holiday parks are included because the capacity of holiday parks can distort the total occupancy rates. Symbols: C confidential not applicable 11

18 6 Accommodation Survey technical notes Data source We collect data from accommodation providers or their representatives each month, mostly via a postal survey. Coverage The Accommodation Survey covers most short-term commercial accommodation in New Zealand. The target population for this survey is all accommodation providers with the following characteristics: Excluded: operating on a commercial basis providing mainly short-term (less than one month) accommodation economically significant (generally meaning being GST-registered and having a turnover of at least $30,000 per year) included in class 4400 (accommodation) or class 4520 (pubs, taverns, and bars) in ANZSIC06 (Australian and New Zealand Standard Industrial Classification 2006) classified to 'hotels', 'motels', 'backpacker accommodation', or 'holiday parks'. hosted accommodation (such as bed & breakfast establishments) marine vessels (such as cruise ships) private dwellings tramping huts (non-commercial) event-specific accommodation (such as temporary campervan parks) businesses that cease operation or no longer provide short-term commercial accommodation businesses that temporarily shut down (eg for renovations) we remove them from the survey until they re-open. Accommodation type classification The predominant capacity provided by a business determines the accommodation type. For instance, if the business provides both motel and camping ground accommodation, but the majority of its stay units are motel rooms, then we classify it as a motel. We use the New Zealand Accommodation Classification, broadly defined below: hotels (including resorts) motels (including motor inns and serviced apartments) backpacker accommodation (including short-stay hostels) holiday parks (including caravan parks and camping grounds). Confidentiality C symbols are used in the tables where information has been suppressed. We do not release data from individual businesses. 12

19 Changes to survey content Establishments may change the way they operate over time. If they do, they may be reclassified from one accommodation type to another. For example, if a holiday park adds sufficient motel units that it is operating more as a motel than a holiday park, it will be subject to reclassification to the motels accommodation type. This type of change will tend to reduce surveyed guest nights and other figures for holiday parks (because there would be one fewer holiday park) while boosting guest nights and other figures for motels (because there would be one more motel). Guest night and other movements, where the latest month is compared with the same month of the previous year, are affected for 12 months from the time that any reclassification is done. After 12 months, the reclassified establishment will appear in the same accommodation type in both comparison months. Reclassifications of establishments are not the only changes that affect survey content and figures for the Accommodation Survey: When establishments temporarily cease operations, we take them out of the survey until they re-open. These changes affect figures for the number of establishments and available capacity. Businesses that start up, shut down, or move into or out of the short-term commercial accommodation industry also affect survey figures. Survey errors This survey aims for 100 percent coverage of the accommodation businesses in New Zealand (a full census). However, in practice, the overall response rate is usually between 76 and 80 percent. We estimate values for the remaining units based on the characteristics of similar establishments in the same or similar regions. This introduces unknown errors into the estimates, and users of the data should bear this in mind. The size of these unknown errors is difficult to quantify. Other errors include respondent error, and errors in coverage, classification, and processing. Our editing processes identify and remove many errors, but some will likely remain. We cannot quantify the effect of the remaining errors. Comparability Accommodation Survey statistics are not always on the same basis as statistics from other sources. For example, average length of stay in the Accommodation Survey is for all guests (domestic plus international), but in the International Visitor Arrivals to New Zealand reports, it is only for international guests. More information For further information on the Accommodation Survey, refer to webpage 13

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