Holiday Dwelling Occupancy Survey 
Data by provinces. Supply
Estimated number of vacancies according to the survey by provincesand months.
Units: number

,January,February,March,April,May,June,July,August,September,October,November,December,
Albacete,734,739,730,726,718,720,693,703,736,712,719,711,
Alicante/Alacant,57,466,58,510,59,637,64,976,68,769,75,072,77,451,82,043,83,980,77,506,75,825,77,298,
Almería,3,951,3,961,4,419,8,240,9,672,10,981,11,346,11,372,10,805,8,787,5,796,5,157,
Araba/Álava,713,714,733,730,726,730,730,723,732,749,731,727,
Asturias,2,526,2,910,3,764,3,712,4,141,4,118,4,748,4,738,4,563,3,948,3,855,3,366,
Ávila,973,1,012,947,1,046,1,039,1,023,1,013,1,054,1,061,1,130,1,142,1,093,
Badajoz,323,349,370,371,372,355,352,364,336,326,367,369,
Balears, Illes,3,214,3,900,11,412,18,689,75,540,84,954,88,765,88,321,87,533,58,511,3,295,3,541,
Barcelona,9,147,9,510,9,395,9,744,10,150,10,350,9,985,9,994,9,747,10,116,9,868,9,917,
Bizkaia,718,725,737,740,753,739,679,704,764,790,784,749,
Burgos,254,267,321,345,277,268,295,342,357,324,336,253,
Cáceres,953,1,182,1,236,1,236,1,192,1,168,1,135,1,321,1,553,1,257,1,206,1,107,
Cádiz,2,765,2,909,4,172,4,463,4,557,4,810,4,855,5,131,5,001,3,386,3,089,2,514,
Cantabria,2,318,2,441,3,386,4,506,4,070,5,105,5,327,5,585,5,171,3,638,3,123,3,141,
Castellón / Castelló,12,987,13,317,17,404,17,782,18,864,25,775,28,979,33,547,27,618,17,286,12,800,12,193,
Ciudad Real,388,407,409,420,433,442,451,450,425,425,454,399,
Córdoba,999,1,002,1,002,985,999,988,988,980,989,986,1,099,1,122,
Coruña, A,1,295,1,350,1,517,1,603,1,633,1,574,1,698,1,712,1,686,1,521,1,570,1,573,
Cuenca,1,995,2,033,2,004,1,880,1,929,2,047,2,036,2,193,2,253,2,155,2,136,2,043,
Gipuzkoa,1,278,1,385,1,753,1,682,1,697,1,956,2,064,2,095,2,277,2,613,2,432,2,432,
Girona,8,410,8,505,13,873,19,477,28,120,37,401,48,759,49,874,39,311,21,336,8,755,6,807,
Granada,4,736,4,871,4,468,4,799,4,857,4,856,4,912,4,965,4,716,4,829,4,188,4,796,
Guadalajara,1,223,1,202,1,252,1,260,1,255,1,256,1,274,1,226,1,260,1,328,1,301,1,316,
Huelva,1,393,1,302,1,786,2,499,2,459,4,307,4,331,4,629,4,237,2,586,1,558,1,556,
Huesca,3,659,3,636,3,800,3,864,3,359,3,536,4,024,4,017,3,921,3,602,3,150,3,835,
Jaén,1,903,1,918,2,156,2,263,2,310,2,271,2,244,2,198,2,223,2,187,2,241,2,179,
León,475,527,719,586,623,598,649,672,531,699,742,726,
Lleida,2,708,2,829,2,794,2,126,2,131,2,446,2,548,2,697,2,351,2,153,1,777,2,586,
Lugo,996,967,992,1,016,996,996,986,1,029,985,1,005,1,004,969,
Madrid,9,068,9,080,9,191,9,581,9,571,9,190,9,219,9,207,9,200,9,459,9,633,9,622,
Málaga,35,801,36,343,39,113,40,889,40,748,41,121,41,864,42,244,42,149,40,442,37,176,37,287,
Murcia,7,554,7,583,8,755,9,554,9,592,9,949,10,350,10,517,10,204,9,288,7,545,7,402,
Navarra,1,525,1,756,1,877,2,199,2,185,2,180,2,112,2,199,2,099,2,174,1,798,1,796,
Ourense,343,348,381,356,368,377,390,390,381,355,357,340,
Palencia,141,146,177,170,170,176,181,181,180,170,146,149,
Palmas, Las,101,974,102,046,102,031,96,345,93,496,93,868,97,205,98,431,97,899,99,732,103,849,103,967,
Pontevedra,940,948,1,441,1,515,1,348,2,267,2,877,2,890,2,463,1,389,1,055,922,
Rioja, La,1,436,1,367,1,473,1,510,1,568,1,539,1,553,1,551,1,529,1,546,1,510,1,556,
Salamanca,456,456,835,857,823,827,820,825,871,889,798,798,
Santa Cruz de Tenerife,55,215,54,832,55,252,55,072,53,293,55,129,55,430,55,139,55,385,55,529,55,974,55,526,
Segovia,1,429,1,437,1,325,1,400,1,395,1,369,1,377,1,340,1,404,1,337,1,304,1,374,
Sevilla,4,306,4,088,4,211,4,307,4,298,4,280,4,227,4,192,4,555,4,885,4,841,5,040,
Soria,296,302,365,366,366,364,354,364,364,364,366,365,
Tarragona,2,001,1,753,10,664,18,318,21,692,28,324,30,622,30,287,28,646,19,024,2,743,2,579,
Teruel,1,689,1,703,1,884,1,862,1,867,1,860,2,018,1,918,1,898,1,993,1,989,2,049,
Toledo,722,720,722,722,722,722,712,722,734,734,734,740,
Valencia/Valéncia,9,088,9,401,11,860,12,413,12,953,17,487,21,633,23,547,18,318,13,532,10,963,11,416,
Valladolid,241,220,239,209,214,195,225,228,226,220,225,222,
Zamora,337,396,408,412,412,493,493,497,497,497,492,467,
Zaragoza,985,995,1,138,1,143,1,132,1,126,1,130,1,151,1,146,1,161,1,066,1,019,
Notes:
Symbol '..' means non-significant data
Source: National Statistics Institute