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Population density. Municipalities with more than 20,000 inhabitants

Population density. Municipalities with more than 20,000 inhabitants Catalonia. 2011
Population Surface area km² Density inh./km² Ranking by number of inh.
Barcelona 1,615,448 101.4 15,939.3 1
Hospitalet de Llobregat, l' 256,065 12.4 20,650.4 2
Badalona 219,786 21.2 10,377.1 3
Terrassa 213,697 70.2 3,045.9 4
Sabadell 207,721 37.8 5,496.7 5
Lleida 138,416 212.3 652.0 6
Tarragona 134,085 57.9 2,315.8 7
Mataró 123,868 22.5 5,497.9 8
Santa Coloma de Gramenet 120,824 7.0 17,260.6 9
Reus 106,709 52.8 2,020.2 10
Girona 96,722 39.1 2,472.4 11
Cornellà de Llobregat 87,243 7.0 12,481.1 12
Sant Cugat del Vallès 83,337 48.2 1,727.9 13
Sant Boi de Llobregat 82,860 21.5 3,859.3 14
Manresa 76,589 41.7 1,838.9 15
Rubí 73,979 32.3 2,290.4 16
Vilanova i la Geltrú 66,905 34.0 1,968.4 17
Viladecans 64,737 20.4 3,173.4 18
Prat de Llobregat, el 63,499 31.4 2,021.6 19
Castelldefels 63,139 12.9 4,905.9 20
Granollers 60,000 14.9 4,035.0 21
Cerdanyola del Vallès 58,247 30.6 1,906.0 22
Mollet del Vallès 52,409 10.8 4,866.2 23
Esplugues de Llobregat 46,687 4.6 10,149.3 24
Gavà 46,250 30.8 1,504.1 25
Figueres 44,765 19.3 2,319.4 26
Sant Feliu de Llobregat 43,096 11.8 3,646.0 27
Vic 40,900 30.6 1,337.5 28
Lloret de Mar 40,282 48.7 827.0 29
Blanes 39,834 17.7 2,255.6 30
Igualada 39,191 8.1 4,832.4 31
Vilafranca del Penedès 38,785 19.6 1,973.8 32
Ripollet 37,348 4.3 8,625.4 33
Vendrell, el 36,453 36.8 990.6 34
Tortosa 34,432 218.5 157.6 35
Montcada i Reixac 34,232 23.5 1,458.5 36
Sant Adrià de Besòs 34,157 3.8 8,941.6 37
Olot 33,725 29.0 1,161.7 38
Cambrils 33,008 35.2 937.5 39
Sant Joan Despí 32,406 6.2 5,252.2 40
Barberà del Vallès 32,033 8.3 3,854.8 41
Salt 30,389 6.6 4,576.7 42
Sant Pere de Ribes 28,783 40.8 705.5 43
Sitges 28,617 43.9 652.6 44
Premià de Mar 28,310 2.1 13,417.1 45
Sant Vicenç dels Horts 28,137 9.1 3,085.2 46
Martorell 27,457 12.8 2,151.8 47
Sant Andreu de la Barca 27,094 5.5 4,926.2 48
Salou 26,193 15.1 1,731.2 49
Pineda de Mar 26,040 10.7 2,424.6 50
Santa Perpètua de Mogoda 25,331 15.8 1,600.2 51
Valls 25,016 55.3 452.5 52
Calafell 24,984 20.4 1,225.9 53
Molins de Rei 24,572 15.9 1,541.5 54
Olesa de Montserrat 23,924 16.6 1,438.6 55
Castellar del Vallès 23,238 44.9 517.4 56
Palafrugell 22,816 26.9 848.8 57
Masnou, el 22,523 3.4 6,644.0 58
Esparreguera 21,986 27.4 802.4 59
Vila-seca 21,839 21.6 1,009.2 60
Sant Feliu de Guíxols 21,814 16.2 1,344.1 61
Amposta 21,445 138.3 155.1 62
Manlleu 20,445 17.2 1,186.6 63
Source: Idescat. Municipal population record and Institut Cartogràfic de Catalunya.

Last update: February 23, 2012.

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 "..".