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Population density. Municipalities with more than 20,000 inhabitants

Population density. Municipalities with more than 20,000 inhabitants Catalonia. 2009
Population Surface area km² Density inh./km² Ranking by number of inh.
Barcelona 1,621,537 101.0 15,999.4 1
Hospitalet de Llobregat, l' 257,038 12.0 20,728.9 2
Badalona 219,547 21.0 10,365.8 3
Terrassa 210,941 70.0 3,006.6 4
Sabadell 206,493 38.0 5,464.2 5
Tarragona 140,323 65.0 2,151.9 6
Lleida 135,919 212.0 640.2 7
Mataró 121,722 23.0 5,402.7 8
Santa Coloma de Gramenet 119,717 7.0 17,102.4 9
Reus 107,118 53.0 2,028.0 10
Girona 96,188 39.0 2,458.8 11
Cornellà de Llobregat 86,519 7.0 12,377.5 12
Sant Boi de Llobregat 82,428 21.0 3,839.2 13
Sant Cugat del Vallès 79,253 48.0 1,643.2 14
Manresa 76,558 42.0 1,838.1 15
Rubí 72,987 32.0 2,259.7 16
Vilanova i la Geltrú 65,890 34.0 1,938.5 17
Viladecans 63,489 20.0 3,112.2 18
Prat de Llobregat, el 63,418 31.0 2,019.0 19
Castelldefels 62,080 13.0 4,823.6 20
Granollers 60,658 15.0 4,079.2 21
Cerdanyola del Vallès 58,747 31.0 1,922.3 22
Mollet del Vallès 52,484 11.0 4,873.2 23
Esplugues de Llobregat 46,862 5.0 10,187.4 24
Gavà 45,994 31.0 1,495.7 25
Figueres 43,330 19.0 2,245.1 26
Sant Feliu de Llobregat 42,919 12.0 3,631.0 27
Blanes 40,047 18.0 2,267.7 28
Vic 39,844 31.0 1,302.9 29
Lloret de Mar 39,363 49.0 808.1 30
Igualada 38,918 8.0 4,798.8 31
Vilafranca del Penedès 38,425 20.0 1,955.5 32
Ripollet 37,088 4.0 8,565.4 33
Vendrell, el 35,821 37.0 973.4 34
Tortosa 35,143 219.0 160.8 35
Sant Adrià de Besòs 33,761 4.0 8,838.0 36
Olot 33,524 29.0 1,154.8 37
Montcada i Reixac 33,453 23.0 1,425.4 38
Sant Joan Despí 32,030 6.0 5,191.2 39
Cambrils 31,720 35.0 900.9 40
Barberà del Vallès 31,144 8.0 3,747.8 41
Salt 29,985 7.0 4,515.8 42
Sant Pere de Ribes 28,353 41.0 694.9 43
Sant Vicenç dels Horts 27,701 9.0 3,037.4 44
Sitges 27,668 44.0 631.0 45
Premià de Mar 27,399 2.0 12,985.3 46
Martorell 26,681 13.0 2,091.0 47
Salou 26,649 15.0 1,761.3 48
Sant Andreu de la Barca 26,401 6.0 4,800.2 49
Pineda de Mar 26,203 11.0 2,439.8 50
Valls 25,092 55.0 453.9 51
Santa Perpètua de Mogoda 25,048 16.0 1,582.3 52
Calafell 24,265 20.0 1,190.6 53
Molins de Rei 24,067 16.0 1,509.8 54
Olesa de Montserrat 23,301 17.0 1,401.1 55
Castellar del Vallès 23,002 45.0 512.2 56
Palafrugell 22,365 27.0 832.0 57
Masnou, el 22,288 3.0 6,574.6 58
Sant Feliu de Guíxols 21,977 16.0 1,354.1 59
Esparreguera 21,855 27.0 797.6 60
Amposta 21,240 138.0 153.6 61
Vila-seca 20,866 22.0 964.2 62
Manlleu 20,647 17.0 1,198.3 63
Roses 20,197 46.0 439.9 64
Source: Idescat. Municipal population record and Institut Cartogràfic de Catalunya.

Last update: February 18, 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.

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 "..".