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Population density. Municipalities with more than 20,000 inhabitants

Population density. Municipalities with more than 20,000 inhabitants Catalonia. 2017
Population Surface area km² Density inh./km² Ranking by number of inh.
Barcelona 1,620,809 101.4 15,992.2 1
Hospitalet de Llobregat, l' 257,349 12.4 20,754.0 2
Terrassa 216,428 70.2 3,084.8 3
Badalona 215,848 21.2 10,191.1 4
Sabadell 209,931 37.8 5,555.2 5
Lleida 137,327 212.3 646.9 6
Tarragona 131,507 57.9 2,272.1 7
Mataró 126,127 22.5 5,598.2 8
Santa Coloma de Gramenet 117,597 7.0 16,799.6 9
Reus 103,123 52.8 1,952.4 10
Girona 99,013 39.1 2,531.0 11
Sant Cugat del Vallès 89,516 48.2 1,856.0 12
Cornellà de Llobregat 86,610 7.0 12,390.6 13
Sant Boi de Llobregat 82,142 21.5 3,825.9 14
Rubí 75,568 32.3 2,339.6 15
Manresa 75,152 41.7 1,804.4 16
Vilanova i la Geltrú 66,077 34.0 1,944.0 17
Viladecans 65,993 20.4 3,234.1 18
Castelldefels 65,954 12.9 5,124.6 19
Prat de Llobregat, el 63,897 31.4 2,034.3 20
Granollers 60,695 14.9 4,081.7 21
Cerdanyola del Vallès 57,723 30.6 1,888.8 22
Mollet del Vallès 51,128 10.8 4,747.3 23
Gavà 46,538 30.8 1,513.4 24
Figueres 45,961 19.3 2,381.4 25
Esplugues de Llobregat 45,890 4.6 9,976.1 26
Sant Feliu de Llobregat 44,198 11.8 3,739.3 27
Vic 43,964 30.6 1,437.7 28
Vilafranca del Penedès 39,532 19.6 2,011.8 29
Igualada 39,316 8.1 4,847.8 30
Blanes 38,813 17.7 2,197.8 31
Ripollet 37,899 4.3 8,752.7 32
Lloret de Mar 36,878 48.7 757.1 33
Sant Adrià de Besòs 36,624 3.8 9,587.4 34
Vendrell, el 36,568 36.8 993.7 35
Montcada i Reixac 35,063 23.5 1,494.0 36
Olot 34,194 29.0 1,177.9 37
Sant Joan Despí 33,873 6.2 5,489.1 38
Tortosa 33,445 218.5 153.1 39
Barberà del Vallès 32,860 8.3 3,954.3 40
Cambrils 32,855 35.2 933.1 41
Sant Pere de Ribes 30,142 40.8 738.8 42
Salt 29,836 6.6 4,493.4 43
Sitges 28,527 43.9 650.6 44
Premià de Mar 28,049 2.1 13,293.4 45
Sant Vicenç dels Horts 27,982 9.1 3,068.2 46
Martorell 27,681 12.8 2,169.4 47
Sant Andreu de la Barca 27,303 5.5 4,964.2 48
Pineda de Mar 26,349 10.7 2,453.4 49
Salou 26,233 15.1 1,733.8 50
Santa Perpètua de Mogoda 25,574 15.8 1,615.5 51
Molins de Rei 25,492 15.9 1,599.3 52
Calafell 24,898 20.4 1,221.7 53
Valls 24,112 55.3 436.2 54
Castellar del Vallès 23,776 44.9 529.4 55
Olesa de Montserrat 23,552 16.6 1,416.2 56
Masnou, el 23,288 3.4 6,869.6 57
Palafrugell 22,725 26.9 845.4 58
Vila-seca 21,993 21.6 1,016.3 59
Esparreguera 21,889 27.4 798.9 60
Sant Feliu de Guíxols 21,721 16.2 1,338.3 61
Vilassar de Mar 20,636 4.0 5,159.0 62
Amposta 20,572 138.3 148.7 63
Manlleu 20,007 17.2 1,161.2 64
Source: Idescat. Municipal population register; Institut Cartogràfic de Catalunya.

Last update: December 29, 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 "..".