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Population density. Municipalities with more than 20,000 inhabitants

Population density. Municipalities with more than 20,000 inhabitants Catalonia. 2010
Population Surface area km² Density inh./km² Ranking by number of inh.
Barcelona 1,619,337 101.4 15,977.7 1
Hospitalet de Llobregat, l' 258,642 12.4 20,858.2 2
Badalona 218,886 21.2 10,334.6 3
Terrassa 212,724 70.2 3,032.0 4
Sabadell 207,338 37.8 5,486.6 5
Tarragona 140,184 65.2 2,149.7 6
Lleida 137,387 212.3 647.1 7
Mataró 122,905 22.5 5,455.2 8
Santa Coloma de Gramenet 120,060 7.0 17,151.4 9
Reus 106,622 52.8 2,018.6 10
Girona 96,236 39.1 2,460.0 11
Cornellà de Llobregat 87,240 7.0 12,480.7 12
Sant Boi de Llobregat 82,411 21.5 3,838.4 13
Sant Cugat del Vallès 81,745 48.2 1,694.9 14
Manresa 76,209 41.7 1,829.7 15
Rubí 73,591 32.3 2,278.4 16
Vilanova i la Geltrú 66,532 34.0 1,957.4 17
Viladecans 64,077 20.4 3,141.0 18
Prat de Llobregat, el 63,434 31.4 2,019.5 19
Castelldefels 62,250 12.9 4,836.8 20
Granollers 59,691 14.9 4,014.2 21
Cerdanyola del Vallès 58,407 30.6 1,911.2 22
Mollet del Vallès 52,459 10.8 4,870.8 23
Esplugues de Llobregat 46,649 4.6 10,141.1 24
Gavà 46,383 30.8 1,508.4 25
Figueres 44,255 19.3 2,293.0 26
Sant Feliu de Llobregat 43,112 11.8 3,647.4 27
Vic 40,422 30.6 1,321.8 28
Blanes 40,010 17.7 2,265.6 29
Lloret de Mar 39,794 48.7 817.0 30
Igualada 39,149 8.1 4,827.3 31
Vilafranca del Penedès 38,218 19.6 1,944.9 32
Ripollet 37,151 4.3 8,579.9 33
Vendrell, el 36,068 36.8 980.1 34
Tortosa 34,473 218.5 157.8 35
Sant Adrià de Besòs 34,104 3.8 8,927.7 36
Montcada i Reixac 33,656 23.5 1,434.0 37
Olot 33,589 29.0 1,157.0 38
Cambrils 32,422 35.2 920.8 39
Sant Joan Despí 32,338 6.2 5,241.2 40
Barberà del Vallès 31,688 8.3 3,813.2 41
Salt 30,304 6.6 4,563.9 42
Sant Pere de Ribes 28,399 40.8 696.1 43
Sitges 28,130 43.9 641.5 44
Sant Vicenç dels Horts 28,024 9.1 3,072.8 45
Premià de Mar 27,802 2.1 13,176.3 46
Salou 27,016 15.1 1,785.6 47
Martorell 26,815 12.8 2,101.5 48
Sant Andreu de la Barca 26,682 5.5 4,851.3 49
Pineda de Mar 25,893 10.7 2,410.9 50
Santa Perpètua de Mogoda 25,191 15.8 1,591.3 51
Valls 25,158 55.3 455.1 52
Calafell 24,423 20.4 1,198.4 53
Molins de Rei 24,236 15.9 1,520.5 54
Olesa de Montserrat 23,646 16.6 1,421.9 55
Castellar del Vallès 23,129 44.9 515.0 56
Palafrugell 22,622 26.9 841.6 57
Masnou, el 22,536 3.4 6,647.8 58
Esparreguera 22,042 27.4 804.5 59
Sant Feliu de Guíxols 21,975 16.2 1,354.0 60
Vila-seca 21,373 21.6 987.7 61
Amposta 21,365 138.3 154.5 62
Manlleu 20,450 17.2 1,186.9 63
Roses 20,418 45.9 444.7 64
Source: Idescat. Municipal population record and Institut Cartogràfic de Catalunya.

Last update: December 27, 2010.

Methodological note

Definition of concepts

Density
Total population divided by the surface area, expressed in inhabitants per square kilometre.
Population
All inhabitants of a given place. Since 1996, when the continuous management system was established for the Municipal Population Register, in accordance with Royal Decree 2612/1996, of December 20, official population figures for municipalities have been obtained annually using data referred to January 1 of each year.
Surface area
Extension of the territory, measured in square kilometres, which lies within the administrative boundaries of a certain municipality. Also includes enclaves that some municipalities have that are located within other counties.

Methodological aspects

The Municipal population register is the administrative record containing the residents of a given municipality and it constitutes proof that they reside in the municipality and have their usual home there. Statistical processing of the municipal population register provides figures on the number of people registered in the population census in each municipality in Catalonia.

The new county of El Moianès was created on 1 May 2015 (Law 4/2015, of 23 April, on the creation of the county of El Moianès) from the aggregation of five municipalities of the county of El Bages, one from the county of Osona and four from the county of El Vallès Oriental.

When the value is lower than that of the minimum unit to be able to estimate the statistical operation or if it effects statistical confidentiality, the symbol used is "..".