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Population density. Municipalities with more than 20,000 inhabitants

Population density. Municipalities with more than 20,000 inhabitants Catalonia. 2014
Population Surface area km² Density inh./km² Ranking by number of inh.
Barcelona 1,602,386 101.3 15,810.4 1
Hospitalet de Llobregat, l' 253,518 12.4 20,445.0 2
Badalona 217,210 21.2 10,255.4 3
Terrassa 215,517 70.2 3,071.8 4
Sabadell 207,444 37.8 5,489.4 5
Lleida 139,176 212.3 655.6 6
Tarragona 132,199 57.9 2,284.0 7
Mataró 124,280 22.5 5,516.2 8
Santa Coloma de Gramenet 118,738 7.0 16,962.6 9
Reus 104,962 52.8 1,987.2 10
Girona 97,227 39.1 2,485.3 11
Sant Cugat del Vallès 87,118 48.2 1,806.3 12
Cornellà de Llobregat 86,234 7.0 12,336.8 13
Sant Boi de Llobregat 83,107 21.5 3,870.8 14
Manresa 75,297 41.6 1,807.8 15
Rubí 74,353 32.3 2,301.9 16
Vilanova i la Geltrú 65,941 34.0 1,940.0 17
Viladecans 65,358 20.4 3,203.8 18
Castelldefels 63,255 12.9 4,914.9 19
Prat de Llobregat, el 62,866 31.4 2,001.5 20
Granollers 59,930 14.9 4,030.3 21
Cerdanyola del Vallès 57,402 30.6 1,878.3 22
Mollet del Vallès 51,719 10.8 4,802.1 23
Gavà 46,326 30.8 1,506.5 24
Esplugues de Llobregat 46,133 4.6 10,028.9 25
Figueres 45,444 19.3 2,354.6 26
Sant Feliu de Llobregat 43,715 11.8 3,698.4 27
Vic 41,956 30.6 1,372.0 28
Blanes 39,293 17.7 2,225.0 29
Vilafranca del Penedès 39,221 19.6 1,996.0 30
Igualada 38,751 8.1 4,778.2 31
Lloret de Mar 38,624 48.7 792.9 32
Ripollet 37,233 4.3 8,598.9 33
Vendrell, el 36,719 36.8 997.8 34
Sant Adrià de Besòs 35,386 3.8 9,263.4 35
Montcada i Reixac 34,394 23.5 1,465.5 36
Tortosa 33,932 218.5 155.3 37
Olot 33,913 29.0 1,168.2 38
Cambrils 33,301 35.2 945.8 39
Sant Joan Despí 32,981 6.2 5,345.4 40
Barberà del Vallès 32,550 8.3 3,917.0 41
Salt 30,103 6.6 4,533.6 42
Sant Pere de Ribes 29,339 40.8 719.1 43
Sitges 28,171 43.9 642.4 44
Premià de Mar 28,163 2.1 13,347.4 45
Sant Vicenç dels Horts 28,103 9.1 3,081.5 46
Martorell 27,895 12.8 2,186.1 47
Sant Andreu de la Barca 27,268 5.5 4,957.8 48
Salou 26,558 15.1 1,755.3 49
Pineda de Mar 25,948 10.7 2,416.0 50
Santa Perpètua de Mogoda 25,409 15.8 1,605.1 51
Molins de Rei 25,152 15.9 1,577.9 52
Valls 24,570 55.3 444.5 53
Calafell 24,333 20.4 1,194.0 54
Olesa de Montserrat 23,543 16.6 1,415.7 55
Castellar del Vallès 23,440 44.9 521.9 56
Palafrugell 22,763 26.9 846.8 57
Masnou, el 22,742 3.4 6,708.6 58
Vila-seca 21,923 21.6 1,013.1 59
Sant Feliu de Guíxols 21,810 16.2 1,343.8 60
Esparreguera 21,685 27.4 791.4 61
Amposta 21,197 138.3 153.3 62
Manlleu 20,279 17.2 1,177.0 63
Vilassar de Mar 20,185 4.0 5,046.3 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 "..".