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Population density. Municipalities with more than 20,000 inhabitants

Population density. Municipalities with more than 20,000 inhabitants Catalonia. 2013
Population Surface area km² Density inh./km² Ranking by number of inh.
Barcelona 1,611,822 101.4 15,903.5 1
Hospitalet de Llobregat, l' 254,056 12.4 20,488.4 2
Badalona 219,708 21.2 10,373.4 3
Terrassa 215,055 70.2 3,065.2 4
Sabadell 207,649 37.8 5,494.8 5
Lleida 139,809 212.3 658.5 6
Tarragona 133,545 57.9 2,306.5 7
Mataró 124,099 22.5 5,508.2 8
Santa Coloma de Gramenet 120,029 7.0 17,147.0 9
Reus 106,790 52.8 2,021.8 10
Girona 97,292 39.1 2,487.0 11
Cornellà de Llobregat 86,687 7.0 12,401.6 12
Sant Cugat del Vallès 86,108 48.2 1,785.4 13
Sant Boi de Llobregat 83,408 21.5 3,884.9 14
Manresa 76,170 41.7 1,828.8 15
Rubí 74,468 32.3 2,305.5 16
Vilanova i la Geltrú 66,275 34.0 1,949.8 17
Viladecans 65,444 20.4 3,208.0 18
Prat de Llobregat, el 63,419 31.4 2,019.1 19
Castelldefels 63,077 12.9 4,901.1 20
Granollers 59,753 14.9 4,018.4 21
Cerdanyola del Vallès 57,642 30.6 1,886.2 22
Mollet del Vallès 51,954 10.8 4,824.0 23
Esplugues de Llobregat 46,667 4.6 10,145.0 24
Gavà 46,377 30.8 1,508.2 25
Figueres 45,123 19.3 2,338.0 26
Sant Feliu de Llobregat 43,769 11.8 3,703.0 27
Vic 41,647 30.6 1,361.9 28
Lloret de Mar 40,803 48.7 837.7 29
Blanes 39,660 17.7 2,245.8 30
Igualada 38,978 8.1 4,806.2 31
Vilafranca del Penedès 38,929 19.6 1,981.1 32
Ripollet 37,234 4.3 8,599.1 33
Vendrell, el 36,747 36.8 998.6 34
Montcada i Reixac 34,863 23.5 1,485.4 35
Sant Adrià de Besòs 34,822 3.8 9,115.7 36
Tortosa 33,992 218.5 155.6 37
Olot 33,981 29.0 1,170.5 38
Cambrils 33,775 35.2 959.2 39
Sant Joan Despí 32,812 6.2 5,318.0 40
Barberà del Vallès 32,580 8.3 3,920.6 41
Salt 30,247 6.6 4,555.3 42
Sitges 29,140 43.8 665.3 43
Sant Pere de Ribes 28,730 40.8 704.2 44
Sant Vicenç dels Horts 28,181 9.1 3,090.0 45
Premià de Mar 28,136 2.1 13,334.6 46
Martorell 28,108 12.8 2,202.8 47
Sant Andreu de la Barca 27,329 5.5 4,968.9 48
Salou 26,752 15.1 1,768.1 49
Pineda de Mar 26,157 10.7 2,435.5 50
Santa Perpètua de Mogoda 25,473 15.8 1,609.2 51
Molins de Rei 24,878 15.9 1,564.7 52
Valls 24,649 55.3 445.9 53
Calafell 24,563 15.9 1,541.0 54
Olesa de Montserrat 23,742 16.6 1,427.7 55
Castellar del Vallès 23,455 44.9 522.3 56
Palafrugell 22,942 26.9 853.5 57
Masnou, el 22,595 3.4 6,665.2 58
Sant Feliu de Guíxols 21,945 16.2 1,354.6 59
Esparreguera 21,926 27.4 800.2 60
Vila-seca 21,689 21.6 1,004.1 61
Amposta 21,511 138.3 155.5 62
Manlleu 20,435 17.2 1,186.0 63
Vilassar de Mar 20,030 4.0 5,007.5 64
Source: Idescat. Municipal population record and Institut Cartogràfic de Catalunya.

Last update: January 3, 2014.

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 "..".