+ All Categories
Home > Documents > Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the...

Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the...

Date post: 10-Jul-2020
Category:
Upload: others
View: 3 times
Download: 0 times
Share this document with a friend
25
Methodology Holiday Dwellings Occupation Survey
Transcript
Page 1: Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the results corresponding to the holiday dwellings occupancy survey. The most important

Methodology

Holiday DwellingsOccupation Survey

Page 2: Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the results corresponding to the holiday dwellings occupancy survey. The most important

2

Índex

1. Introduction 3

2. Objectives 5

3. Statistical unit 7

4. Survey's scope 9

5. Variables definition 11

6. Surveys framework and sample design 19

7. Estimates 21

8. Collection of the information 25

Page 3: Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the results corresponding to the holiday dwellings occupancy survey. The most important

3

1. Introduction

This publication presents the results corresponding to the holiday dwellings occupancysurvey.

The most important information from the survey is offered monthly, in agreement withthe Institute's dissemination regulations.

The two sides considered in the tourism study are reflected in the data provided: from thedemand point of view, information is offered on travellers, overnight stays and average staydistributed by country of residence in the case of travellers not resident in Spain and byAutonomous Community in the case of Spanish travellers. From the point of view ofsupply, data is provided on the number of estimated open tourist companies andestablishments, estimated vacancies and apartments, degrees of occupancy, as wellinformation on employment in the sector.

This information is offered monthly on a national, autonomous community and provinciallevel, on the number of overnight stays as well as on the most significant areas and touristsspots.

The National Statistical Institute thanks all professionals, businesspersons and institutionrelated to the tourist sector for the collaboration provided that is essential for carrying outthis survey.

Page 4: Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the results corresponding to the holiday dwellings occupancy survey. The most important

4

Page 5: Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the results corresponding to the holiday dwellings occupancy survey. The most important

5

2. Objectives

The Survey on Occupation's main objective in holiday apartments is to obtain thebehaviour of a series of variables that describe the segment which this type ofaccommodation occupies in the tourist sector, both from the supply as well as thedemand viewpoints.

Page 6: Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the results corresponding to the holiday dwellings occupancy survey. The most important

6

Page 7: Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the results corresponding to the holiday dwellings occupancy survey. The most important

7

3. Statistical unit

These are all tourist apartment establishments and operating companies,registered as such in the corresponding tourist councils from each AutonomousCommunity in agreement with the definitions of the said accommodation thatfeature in the different Autonomous regulations.

A tourist apartment establishment is understood to be any productive unit whoseexclusive or productive activity is to accommodate tourists, distributed infurnished units (apartments, chalets, villas, bungalows, …).

A tourist apartment (unit) is considered to be a property that is habitually rentedfor occasional guests.

A set of units, in turn, forms a tourist apartment establishment. The establishmentmay be constituted by various blocks.

In some Autonomous Communities the analysis units are holiday apartmentsoperating companies. These are defined as physical or legal persons who usuallydeal with the letting of such apartments, whether or not they are owners of theaccommodation.

Page 8: Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the results corresponding to the holiday dwellings occupancy survey. The most important

8

Page 9: Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the results corresponding to the holiday dwellings occupancy survey. The most important

9

4. Survey's scope

All establishments and/or operating companies in the country are investigated.

With the exception of Albacete, Ávila, Burgos, Ciudad Real (up to the month ofOctober), Soria, Valladolid, Zamora, Ceuta and Melilla where there are no establish-ments of this type.

Page 10: Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the results corresponding to the holiday dwellings occupancy survey. The most important

10

Page 11: Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the results corresponding to the holiday dwellings occupancy survey. The most important

11

5. Variables definition

5.1Traveller

All persons who stay one or more nights in the same accommodation.

Travellers are classified by their place of residence. In the case of Spaniardsinformation is requested on the Autonomous Community where they come from.

5.2Overnight stay

An overnight stay is understood to be every night that a travellers stays in theapartment.

For example, a couple with a child sleeping on an extra bed will give rise to anoccupied apartment and three overnight stays or occupied vacancies.

5.3Vacancies of an establishment or company operating holiday apart-ments

The number of vacancies is equivalent to the number of fixed beds; extra bedstherefore are not included and double beds will give rise to two vacancies.

5.4Supplementary beds

A supplementary bed is understood to be all those that do not have a fixedposition and are not in the vacancies declared officially and recorded in thedirectory.

The furniture that is found fixed in the apartment (sofa-bed, …) is only accountedfor as a supplementary bed when it is really used as such.

Cots will also be considered as supplementary beds.

5.5Grade of occupation by posts

Relationship as a percentage between the total of overnight stays and the resultof vacancies times the days that overnight stays refer to, including extra beds.

It can be deduced from this definition that an establishment and/or company mayhave a degree of occupation of less than 100% and however not have anyvacancies, as an apartment may be occupied only by a person giving rise to onlyone overnight stay. However, the apartment may have a greater capacity.

Page 12: Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the results corresponding to the holiday dwellings occupancy survey. The most important

12

5.6 Degree of occupation by apartments

This is the relationship between the total of occupied apartments and the result ofavailable apartments times the days which the survey references, as apercentage.

5.7Average Stay

This variable is an approximation of the number of days, on average, thattravellers stay in apartments and it is calculated as the quotient betweenovernight stays and the number of travellers.

5.8Occupied personnel

This is defined as the set of remunerated and non-remunerated persons whocontribute by means of their work, to the production of goods and services duringthe survey reference period, although they may work outside its premises.

5.9 Tourist area

Set of municipalities where tourists spend the most specifically located Information isoffered on the main areas of tourist interest.

Costa de Almería

Adra, El Ejido, Roquetas de Mar, Níjar, Carboneras, Mojácar, Vera, Cuevas del Alman-zora, Pulpí, Almería, Garrucha.

Costa de la Luz de Cádiz

Barbate, Conil de la Frontera, Chiclana de la Frontera, Chipiona, El Puerto Sta María,Puerto Real, Rota, San Fernando, Sanlúcar de Barrameda, Tarifa, Veger de la Frontera,Algeciras, Línea de la Concepción, San Roque, Cádiz.

Costa Tropical (Granada)

Almuñecar, Itrabo, Salobreña, Motril, Sorvilán, Gualchos, Lújar, Polopos, Albuñol.

Costa de la Luz de Huelva

Ayamonte, Isla Cristina, Lepe, Punta Umbría, Palos de la Frontera, Moguer, Almonte,Cartaya.

Costa del Sol (Málaga)

Manilva, Estepona, Marbella, Mijas, Fuengirola, Benalmádena, Torremolinos, Rincón dela Victoria, Vélez-Málaga, Algarrobo, Torrox, Nerja, Málaga.

Page 13: Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the results corresponding to the holiday dwellings occupancy survey. The most important

13

Costa Verde (Asturias)

Avilés, Caravia, Carreño, Castrillón, Castropol, Coaña, Colunga, Cudillero, El Franco,Gijón, Gozón, Valdés, Llanes, Muros de Nalón, Navia, Ribadedeva, Ribadesella, Sotodel Barco, Tapia de Casariego, Villaviciosa

Mallorca

All the municipalities in the Balearic Islands not included in Menorca or Ibiza-Formentera.

Menorca

Alaitor, Es Castell, Ciutadella de Menorca, Ferreries, Mahon, Es Mercadal, Es MigjornGran, Sant Lluis.

Ibiza-Formentera

Eivissa, Formentera, San Jose, Sant Antoni de Portmany, San Joan de Labritja, SantaEulalia del Rio.

Gran Canaria

Agete, Agüimes, Artenara, Arucas, Firgas, Gáldar, Ingenio, Mogán, Moya, Las Palmasde G. Canaria, San Bartolomé de Tirajana, San Nicolás de Tolentino, Santa Brígida,Santa Lucía, Santa Mª de Guía de G.C., Tejada, Telde, Teror, Valsequillo de G.C.,Valleseco, Vega de San Mateo.

Lanzarote

Arrecife, Haría, San Bartolomé, Teguise, Tías, Tinajo, Yaiza.

Fuerteventura

Antigua, Betancuria, La Oliva, Pajara, Puerto del Rosario, Tuineje.

Tenerife

Adeje, Arafo, Arico, Arona, Buenavista del Norte, Candelaria, Fasnia, Garachico,Granadilla de Abona, La Guancha, Guía de Isora, Güimar, Icod de los Vinos, LaLaguna, La Matanza de Acentejo, La Orotava, Puerto de la Cruz, Los Realejos, ElRosario, San Juan de la Rambla, San Miguel, Santa Cruz de Tenerife, Santa Ursula,Santiago del Teide, Sauzal, Los Silos, Tacoronte, Tanque, Tegueste, Victoria deAcentejo, Vilaflor.

La Gomera

Agulo, Alajeró, Hermigua, S. Sebastián de la Gomera, Valle Gran Rey, Vallehermoso.

Page 14: Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the results corresponding to the holiday dwellings occupancy survey. The most important

14

La Palma

Barlovento, Breña Alta, Breña Baja, Fuencaliente de la Palma, Garafía, Los Llanos deAridane, El Paso, Punta Gorda, Puntallana, San Andrés y Sauces, Santa Cruz de laPalma, Tazacorte, Tijarafe, Villa de Mazo.

Hierro

Frontera, Valverde.

Costa de Barcelona (Barcelona)

Badalona, Barcelona, Hospitalet de Llobregat, Sant Adriá de Besós, Santa Coloma deGremenet.

Costa del Garraf (Barcelona)

Abrera, Avinyonet del Penedés, Begues,Les Cabanyes, Canyelles, Castelldefels,Castellet i la Gornal, Castellví de la Marca, Castellví de la Rosanes, Cervelló, Collbató,Corbera de Llobregat, Cornellá de Llobregat, Cubelles, Esparreguera, Esplugues deLlobregat, Font-rubí, Gavá, Gelida, La Granada, Martorell, Mediona, Molins de Rei,Olérdola, Olesa de Bonesvalls, Olesa de Montserrat, Olivella, Pacs del Penedés, Pallejá,El Papiol, El Pla del Penedés, Pontons, El Prat del Llobregat, Puigdálber, Sant Andreude la Barca, Sant Boi de Llobregat, Sant Climent de Llobregat, Sant Cugat Sesgar-rigues, Sant Esteve Sesrovires, Sant Feliú de Llobregat, Sant Joan Despí, Sant JustDesvern, Sant Llorenc d’Hortons, Sant Martí Sarroca, Sant Pere de Ribes, Sant Pere deRiudebitlles, Sant Quintí de Mediona, Sant Sadurní d’ Anoia, Santa Coloma de Cer-velló, Santa Fe del Penedés, Santa Margarida, Sant Vicenc dels Horts, Sitges, Subi-rats, Torrelavit, Torrelles de Foix, Torrelles de Llobregat, Vallirana, Viladecans, Vilobidel Penedés, Villafranca del Penedés, Vilanova i la Geltrú, La Palma de Cervelló.

Costa del Maresme (Barcelona)

Alella, Arenys de Mar, Arenys de Munt, Argentona, Cabrera de Mar, Cabrils, Caldes d’Estrac, Calella, Canet de Mar, Dosrius, Malgrat de Mar, El Masnou, Mataró, Montgat,Orrius, Palafolls, Pineda de Mar, Premiá de Mar, Sant Iscle de Vallalta, Sant Andreu deLlavaneres, Sant Cebriá de Vallalta, Vilassar de Dalt, Vilassar de Mar, Premiá de Dalt,Sant Pol de Mar, Santa Susanna, Sant Vicenc de Montalt, Teiá, Tiana, Tordera.

Costa Brava (Gerona)

Agullana, Aiguaviva, Albanyá, Albons, El Far d’Empordá, Amer, Anglés, Arbúcies, L’Armentera, Avinyonet de Puigventós, Begur, La Vajol, Banyoles, Báscara, Bellcaired’Empordá, Bescanó,La Bisbal d’Empordá, Blanes, Bordils, Borrassá, Breda, Brunyola,Boadella d’Empordá, Cabanes, Cabanelles, Cadaqués, Caldes de Malavella, Calonge,Camós, Campllong, Canet d’Adri, Cantallops, Capmany, Cassá de la Selva, Castellód’Empúries, Castell-Platja d’Aro, Celrá, Cerviá de Ter, Cistella, Siurana, Colera,Colomers, Cornellá del Terri, Gorcá, Crespiá, Darnius, L’ Escala, Espolla, Esponella,Figueres, Foixá, Fontanilles, Fontcorbeta, Fornells de la Selva, Fortiá, Garrigás,Garrigoles, Garriguella, Flaca, Girona, Gualta, Hostalric, Jafre, La Jonquera, Juiá,Lladó, Llagostera, Llambilles, Llancá, Llers, Lloret de Mar, Madremanya, Masarac,Massanes, Macanet de Cabrenys,Macanet de la Selva, Mollet de Peralada, Mont-Ras,Navata, Ordis, Osor, Palafrugell, Palamós, Palau de Santa Eulalia, Palau-Saverdera,

Page 15: Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the results corresponding to the holiday dwellings occupancy survey. The most important

15

Palau-Sator, Palol de Revardit, Pals, Parlavá, Pau, Pedret i Marzá,La Pera, Peralada,Pont de Molins, Pontós, Porqueres, Portbou, El Port de la Selva, Quart, Rabós,Regencós, Riels i Viabrea, Riudarenes, Riudellots de la Selva, Riumors, Roses, Rupiá,Salt, Sant Andreu Salou, Sant Climent Sescebes, Sant Feliu de Buixalleu, Sant Feliu deGuixols, Sant Gregori, Sant Hilari Sacalm, Sant Jordi Desvalls, Sant Joan de Mollet,Sant Juliá de Ramis, Sant Llorenc de la Muga, Sant Martí de Llémena, Sant Martí Vell,Sant Miquel de Campmajor, Sant Miquel de Fluviá, Sant Mori, Sant Pere Pescador,Santa Coloma de Farners, Santa Cristina d’Aro, Santa Llogaia d’Alguema, Sarriá deTer, Saus,La Selva de Mar, La Cellera de Ter, Serinyá, Serra de Daró, Sils, Susqueda,La Tallada d’Empordá, Terrades, Torrent, Torroella de Fluviá, Torroella de Montgrí,Tossa de Mar, Ultramort, Ullá, Ullastret, Vall-Llobrega, Ventalló, Verges, Vidreres,Vilabertran, Vilablareix, Viladasens, Viladamat, Vilademuls, Vilafant, Vilaur, Vilajuiga,Vilamacolum, Vilamalla, Vilamaniscle, Vilanant, Vila-Sacra, Vilopriu, Vilobí d’Onyar,Biure, Cruilles, Forallac, Sant Juliá del Llor.

Costa Daurada (Tarragona)

This includes all the municipalities in the province of Tarragona.

Costa Blanca (Alicante)

Benidorm, Alfaz del Pí, Altea, Calpe, El Campello, Denia, Elche, Finestrat, Guardamardel Segura, Orihuela, Pilar de la Horadada, Santa Pola, Teulada, Torrevieja, El Verger,Villajoyosa, Javea, Alicante.

Costa Azahar (Castellón)

Vinaroz, Benicarló, Peñíscola, Alcalá de Chivert, Torreblanca, Oropesa del Mar,Benicássim, Castellón de la Plana, Almassora, Burriana, Nules, Moncófa, Chilches,Almenara.

Costa Valencia (Valencia)

Canet d’En Berenguer, Sagunto, La Pobla de Farnals, Cullera, Tavernes de la Valldigna,Gandía, Piles, Oliva.

Rías Altas (A Coruña)

Mañón, Ortigueira, Cariño, Cedeira, Valdoviño, Ferrol, Mugargos, Ares, Cabanas,Pontedeume, Miño, Bergondo, Sada, Oleiros, A Coruña

Costa A Mariña Lucense (Lugo)

O Vicedo, Viveiro, Xove, Cervo, Burela, Foz, Barreiros, Ribadeo.

Rías Baixas (Pontevedra y A Coruña)

Carnota, Muros, Outes, Noia, Porto do Son, Ribeira, Pobra do Caramiñal, Boiro,Rianxo, Vilagarcía de Arousa, Vilanova de Arousa, Cambados, Ribadumia, Meaño, OGrove, Sanxenxo, Poio, Pontevedra, Marin, Bueu, Cangas, Moaña, Vilaboa, Souto-maior, Redondela, Vigo, Migran, Baiona, Oia, O Rosal, A Guarda.

Page 16: Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the results corresponding to the holiday dwellings occupancy survey. The most important

16

Costa Cálida (Murcia)

Águilas, Los Alcázares, Cartagena, Mazarrón, San Javier, San Pedro del Pinatar, LaUnión.

Pirineo Aragonés

Abiego, Abizanda, Adahuesca, Agüero, Aisa, Alquézar, Ansó, Aragüés del Puerto,Arén, Arguis, Azanuy-Alins, Baélls, Bailo, Baldellou, Bárcabo, Benabarre, Benasque,Bielsa, Bierge, Biescas, Bisaurri, Boltaña, Bonansa, Borau, Broto, Caldearenas, Campo,Camporrélls, Canal de Berdún, Canfranc, Capella, Casbas de Huesca, Castejón de Sos,Castiello de Jaca, Castigaleu, Castillonroy, Colungo, Chía, Estopiñán del Castillo, Fago,Fanlo, Fiscal, Foradada del Toscar, La Fueva, Gistaín, El Grado, Graus, Hoz de Jaca,Isábena, Jaca, Jasa, Labuerda, Lascuarre, Laspaúles, Laspuña, Monesma y Cajigar,Montanuy, Naval, Nueno, Olvena, Palo, Panticosa, Las Peñas de Riglos, Peralta deCalasanz, Perarrúa, Plan, La Puebla de Castro, Puente de Montañana, Puértolas, ElPueyo de Araguás, Sabiñánigo, Sahún, Salas Altas, Sallent de Gállego, San Juan dePlan, Santa Cilia de Jaca, Santa Cruz de la Serós, Santaliestra y San Quílez, Secastilla,Seira, Sesué, Sopeira, Tella-Sin, Tolva, Torla, Torre la Ribera, Valle de Bardají, Valle deLierp, Veracruz, Viacamp y Litera, Villanova, Villanúa, Yebra de Basa, Yésero, Valle deHecho, Puente la Reina de Jaca, Santa María de Dulcis, Aínsa-Sobrarbe, Hoz yCostean, Artieda, Asín, Bagüés, El Frago, Isuerre, Lobera de Onsella, Longás, Luesia,Mianos, Murillo de Gállego, Navardún, Orés, Los Pintanos, Salvatierra de Esca, SantaEulalia de Gállego, Sigüés, Sos del Rey Católico, Uncastillo, Undués de Lerda, Urriés,Biel-Fuencalderas.

Pirineo Catalán

Alpens, Avià, Bagà, Berga, Borredà, Capolat, Caserres, Castellar del Riu, Castellar den'Hug, Castell de l'Areny, L’ Espunyola, Fígols de les Mines, Gironella, Gisclareny,Guardiola de Berguedà, Lluçà, Montclar, Montesquiu, Montmajor, La Nou de Berguedà,

Olvan, Orís, Perafita, La Pobla de Lillet, Prats de Lluçanès, Puig-reig, La Quar, Sagàs,Saldes, Sant Agustí de Lluçanès, Sant Bartomeu del Grau, Sant Boi de Lluçanès, SantJaume de Frontanyà, Sant Martí d'Albars, Sant Pere de Torelló, Sant Quirze de Besora,Santa Maria de Besora, Santa Maria de Corcó, Santa Maria de Merlès, Sant Vicenç deTorelló, Cercs, Sobremunt, Sora, Tavertet, Vallcebre, Vilada, Viver i Serrateix, Rupit iPruit, Sant Julià de Cerdanyola, Agullana, Albanyà, Alp, Argelaguer, La Vajol, Besalú,Beuda, Bolvir, Boadella d'Empordà, Campdevànol, Campelles, Camprodon, Cantallops,Queralbs, Castellfollit de la Roca, Colera, Darnius, Das, Espolla, Fontanals de Cer-danya, Ger, Gombrèn, Guils de Cerdanya, Isòvol, La Jonquera, Llanars, Llançà, Llívia,Les Llosses, Maià de Montcal, Meranges, Maçanet de Cabrenys, Mieres, Molló,Montagut, Ogassa, Olot, Pardines, Les Planes d'Hostoles, Planoles, Portbou, LesPreses, Puigcerdà, Rabós, Ribes de Freser, Ripoll, Riudaura, Sales de Llierca, SantCliment Sescebes, Sant Feliu de Pallerols, Sant Ferriol, Sant Jaume de Llierca, SantJoan de les Abadesses, Vallfogona de Ripollès, Sant Llorenç de la Muga, Sant Pau deSegúries, Sant Aniol de Finestres, Santa Pau, Sant Joan les Fonts, Setcases, Terrades,Tortellà, Toses, Urús, La Vall d'en Bas, La Vall de Bianya, Vidrà, Vilallonga de Ter,Biure, Abella de la Conca, Ager, Alàs i Cerc, Alins, Alòs de Balaguer, Alt Aneu, NautAran, Aristot i Toloriu, Arres, Arsguel, Artesa de Segre, Les Avellanes i Santa Linya,Baix Pallars, La Baronia de Rialb, Barruera, Bassella, Bausen, Bellver de Cerdanya, LesBòrdes, Bossòst, Cabanabona, Cabó, Camarasa, Canejan, Castellar de la Ribera, Cava,Clariana de Cardener, Coll de Nargó, Espot, Esterri d'Aneu, Esterri de Cardós, Es-tamariu, Farrera, Foradada, Gavet de la Conca, Gósol, Guixers, Isona i Conca Dellà,

Page 17: Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the results corresponding to the holiday dwellings occupancy survey. The most important

17

Les, Lladurs, Llavorsí, Lles, Llimiana, Llobera, Montellà i Martinet, Montferrer i Cas-tellbò, Navès, Odèn, Oliana, Oliola, Olius, Organyà, Os de Balaguer, Pallars Jussà, LaComa i la Pedra, Peramola, Pinell de Solsonès, Pinós, La Pobla de Segur, Ponts, El Pontde Suert, Prats i Sansor, Prullans, Rialp, Ribera d'Urgellet, Riner, Salàs de Pallars, SantLlorenç de Morunys, Sant Esteve de la Sarga, Sarroca de Bellera, Senterada, La Seud'Urgell, Solsona, Soriguera, Sort, Talarn, Tírvia, Tiurana, La Torre de Cabdella, Tremp,Les Valls de Valira, Vielha e Mijaran, Vilaller, Vilamòs, Vilanova de l'Aguda, Vilanovade Meià, Vall de Cardós, La Guingueta i Jou, Castell de Mur, Les Valls d'Aguilar, Fígolsi Alinyà, La Vansa i Fórnols, Josa i Tuixén, Riu de Cerdanya.

Pirineo Navarro

Abárzuza, Abaurregaina/Abaurrea Alta, Abaurrepea/Abaurrea Baja, Adiós, Aibar,Altsasu/Alsasua, Allín, Améscoa Baja, Anue, Añorbe, Aoiz/Agoitz, Araitz, Aranarache,Arantza, Arano, Arakil, Arbizu, Arce, Areso, Aria, Aribe, Arruazu, Artazu, Atez,Bakaiku, Barásoain, Basaburua, Baztan, Belascoáin, Bertizarana, Betelu, Biurrun-Olcoz,Auritz/Burguete, Burgui, Cáseda, Castillonuevo, Ziordia, Cirauqui, Ciriza, Donamaria,Etxalar, Echarri, Etxarri-Aranatz, Elgorriaga, Enériz, Eratsun, Ergoiena, Erro, Ezcároz,Eslava, Esparza de Salazar, Esteribar, Eulate, Ezkurra, Ezprogui, Gallipienzo, Gallués,Garaioa, Garde, Garínoain, Garralda, Goizueta, Goñi, Güesa, Guesálaz, Guirguillano,Uharte-Arakil, Ibargoiti, Imotz, Irañeta, Isaba, Ituren, Iturmendi, Izagaondoa, Izalzu,Jaurrieta, Javier, Juslapeña, Beintza-Labaien, Lakuntza, Lana, Lantz, Larraona,Larraun, Leache, Legarda, Leitza, Leoz, Lerga, Lesaka, Lezáun, Liédena, Lizoáin,Lónguida, Lumbier, Mañeru, Metauten, Monreal, Muruzábal, Navascués, Obanos,Ochagavía, Odieta, Oitz, Olazti/Olazagutía, Olóriz, Ollo, Orbaitzeta, Orbara, Orísoain,Oronz, Oroz-Betelu, Petilla de Aragón, Puente la Reina/Gares, Pueyo, Romanzado,Roncal, Orreaga/Roncesvalles, Sada, Saldías, Salinas de Oro, Sangüesa, San Martín deUnx, Doneztebe/Santesteban, Sarriés, Sunbilla, Tiebas-Muruarte de Reta, Tirapu, Ucar,Ujué, Ultzama, Unciti, Unzué, Urdazubi/Urdax, Urdiain, Urraul Alto, Urraul Bajo, Urroz,Urrotz, Urzainqui, Uterga, Uztárroz, Luzaide/Valcarlos, Bera/Vera de Bidasoa, Vidán-goz, Vidaurreta, Hiriberri/Villanueva de Aezkoa, Igantzi, Yerri, Yesa, Zabalza, Zubieta,Zugarramurdi, Urbasa-Andía, Lekunberri.

Page 18: Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the results corresponding to the holiday dwellings occupancy survey. The most important

18

Page 19: Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the results corresponding to the holiday dwellings occupancy survey. The most important

19

6.Surveys framework and sample design

The tourist council directories from Autonomous Communities are used as aframework for the selection of informant units. In them, among other things, thefollowing data appear: corporate name, address, normal opening period, numberof vacancies, number of apartments and category in some cases.

These directories are updated by the INE provincial delegations.

The survey is exhaustive in all provinces, except in Alicante, Baleares, Castellón,Las Palmas and Santa Cruz de Tenerife, where a sample is selected.

Page 20: Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the results corresponding to the holiday dwellings occupancy survey. The most important

20

Page 21: Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the results corresponding to the holiday dwellings occupancy survey. The most important

21

7. Estimators

Variables Used

E = number of establishments and/or companies open during the month that existin the directory

e = number of establishments and/or companies that respond to the survey

c = number of establishments and/or companies that are closed the whole month

P = number of vacancies according to directory

P’= number of vacancies according to the survey

A = number of apartments according to directory

A’= number of apartments according to the survey

V = number of travellers checked-in

N = number of overnight stays or occupied vacancies

N’ = number of overnight stays in extra vacancies

B = number of occupied apartments

T = occupied personnel

EM = average stay

GP = degree of occupation by vacancies

GA = degree of occupation by apartments

D = number of days of the reference month (28,29,30,31)

d = number of days of the reference quarter (14, 15, 16)

Subindices used

I = operating establishment or company

j = province

k = size (1,2 and 3)

Size 1: establishments and companies of 1 to 25 apartments

Size 2: establishments and companies of 26 to 99 apartments

Size 3: establishments and companies of 100 apartments and over

m = modality (place of residence, professional situation, …)

Page 22: Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the results corresponding to the holiday dwellings occupancy survey. The most important

22

A) Estimate of the number of establishments and/or companies open during themonth.

c + e e . EE

jkjk

jkjkjk

= ˆ

B) Estimate of number of vacancies of the establishments and/or companies openin the month.

P + P

P . PP

ijk

c

iijk

e

=1i

ijk

ijk

E

jk jkjk

jk

jk

∑∑

∑∑

=

=

1

e

1i

1=i

' = ˆ

C) Estimate of the number of apartments existing in establishments and/orcompanies.

AA

A A= A

jkjk

jk

jk

c

iijk

e

iijk

e

iijkE

iijkjk

∑∑

∑∑

==

=

= +

11

1

1

' .

D) Estimate of number of travellers visiting over the month.

'

ˆ ˆ

e

1=i

jk

P

P . dDVV

ijk

e

=1i

jk

ijkijkmjkm

jk

∑∑=

m = place of residence.

E) Estimate of occupied vacancies or overnight stays

∑∑

=

=

=kj

jk

e

Ikji

kje

i ijkmkjimkj

P

PdDNN

1

1 '..

))

m = place of residence.

Page 23: Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the results corresponding to the holiday dwellings occupancy survey. The most important

23

F) Estimate of the Average Stay

F.1) Average Stay by sizes

F.2) Average Stay by country of residence

m = place of residence.

G) Estimate of degree of occupation (as a percentage)

G.1) Degree of net occupation by vacancies

For the set of categories

m = place of residence.

G.2) Degree of net occupation by apartment

Previously the number of existing apartments had to be calculated in operating establishments and/or companies:

V =

jmˆN

MEjm

jm

100 . P . D

= jˆ

N PG

jmm

j

P

PGP = GP

kjk

jkjkk

j

∑∑

∧∧

ˆ

.

)

100*

1

1

=

=∧

jk

jk

e

iijk

e

iijk

jk

Ad

B = GA

V =

jmˆN

MEjm

jm

Page 24: Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the results corresponding to the holiday dwellings occupancy survey. The most important

24

then,

and for the set of categories

H) Estimate of employed personnel

m = Professional Situation

100 . P . D

= jˆ

N PG

jmm

j

∑∑

∧∧

kjk

jkjkk

jA

AGA = GA )

).

P .

ijk

e

=1i

jk

∑∑∑ P

T = Tjk

ijkm

e

1=ikjm

jk

Page 25: Methodology Holiday Dwellings Occupation Survey · 3 1. Introduction This publication presents the results corresponding to the holiday dwellings occupancy survey. The most important

25

8. Collection of the information

The query for basic data refers to a fortnight a month, chosen randomly, in such away that the whole month is covered between all establishments and/or companies.

Questionnaires are received from operating establishments or companies in theprovincial delegations of the INE, where they are filtered and data is recorded. They are subsequently sent to the INE central services where a second filtering iscarried out and the tables and observations that are elaborated, which are publishedmonthly according to the dates available in the INE Short-term Statistics AvailabilityCalendar.


Recommended