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Population density. Municipalities with more than 20,000 inhabitants

Population density. Municipalities with more than 20,000 inhabitants Catalonia. 2015
Population Surface area km² Density inh./km² Ranking by number of inh.
Barcelona 1,604,555 101.4 15,831.8 1
Hospitalet de Llobregat, l' 252,171 12.4 20,336.4 2
Badalona 215,654 21.2 10,182.0 3
Terrassa 215,214 70.2 3,067.5 4
Sabadell 207,814 37.8 5,499.2 5
Lleida 138,542 212.3 652.6 6
Tarragona 131,255 57.9 2,267.7 7
Mataró 124,867 22.5 5,542.3 8
Santa Coloma de Gramenet 116,950 7.0 16,707.1 9
Reus 103,194 52.8 1,953.7 10
Girona 97,586 39.1 2,494.5 11
Sant Cugat del Vallès 87,830 48.2 1,821.1 12
Cornellà de Llobregat 86,376 7.0 12,357.1 13
Sant Boi de Llobregat 82,195 21.5 3,828.4 14
Manresa 74,655 41.7 1,792.4 15
Rubí 74,536 32.3 2,307.6 16
Vilanova i la Geltrú 65,684 34.0 1,932.5 17
Viladecans 65,549 20.4 3,213.2 18
Castelldefels 63,891 12.9 4,964.3 19
Prat de Llobregat, el 63,014 31.4 2,006.2 20
Granollers 60,101 14.9 4,041.8 21
Cerdanyola del Vallès 57,413 30.6 1,878.7 22
Mollet del Vallès 51,650 10.8 4,795.7 23
Gavà 46,405 30.8 1,509.1 24
Esplugues de Llobregat 45,626 4.6 9,918.7 25
Figueres 45,346 19.3 2,349.5 26
Sant Feliu de Llobregat 43,800 11.8 3,705.6 27
Vic 42,498 30.6 1,389.7 28
Vilafranca del Penedès 39,224 19.6 1,996.1 29
Blanes 39,132 17.7 2,215.9 30
Igualada 38,751 8.1 4,778.2 31
Lloret de Mar 37,618 48.7 772.3 32
Ripollet 37,445 4.3 8,647.8 33
Vendrell, el 36,558 36.8 993.4 34
Sant Adrià de Besòs 35,814 3.8 9,375.4 35
Montcada i Reixac 34,377 23.5 1,464.7 36
Olot 33,944 29.0 1,169.3 37
Tortosa 33,864 218.5 155.0 38
Sant Joan Despí 33,264 6.2 5,391.3 39
Cambrils 32,915 35.2 934.8 40
Barberà del Vallès 32,545 8.3 3,916.4 41
Sant Pere de Ribes 29,666 40.8 727.1 42
Salt 29,342 6.6 4,419.0 43
Sitges 28,269 43.9 644.7 44
Sant Vicenç dels Horts 27,983 9.1 3,068.3 45
Premià de Mar 27,944 2.1 13,243.6 46
Martorell 27,694 12.8 2,170.4 47
Sant Andreu de la Barca 27,340 5.5 4,970.9 48
Salou 26,459 15.1 1,748.8 49
Pineda de Mar 25,968 10.7 2,417.9 50
Santa Perpètua de Mogoda 25,466 15.8 1,608.7 51
Molins de Rei 25,155 15.9 1,578.1 52
Valls 24,321 55.3 440.0 53
Calafell 24,256 20.4 1,190.2 54
Olesa de Montserrat 23,536 16.6 1,415.3 55
Castellar del Vallès 23,442 44.9 522.0 56
Masnou, el 22,923 3.4 6,761.1 57
Palafrugell 22,733 26.9 845.7 58
Vila-seca 22,332 21.6 1,032.0 59
Esparreguera 21,701 27.4 792.0 60
Sant Feliu de Guíxols 21,586 16.2 1,330.0 61
Amposta 20,952 138.3 151.5 62
Vilassar de Mar 20,447 4.0 5,111.8 63
Manlleu 20,228 17.2 1,174.0 64
Source: Idescat. Municipal population register; Institut Cartogràfic de Catalunya.

Last update: May 8, 2017.

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.

Unavailable information is represented using the symbol ":". 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 "..".