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Population density. Municipalities with more than 20,000 inhabitants

Population density. Municipalities with more than 20,000 inhabitants Catalonia. 2016
Population Surface area km² Density inh./km² Ranking by number of inh.
Barcelona 1,608,746 101.4 15,873.2 1
Hospitalet de Llobregat, l' 254,804 12.4 20,548.7 2
Badalona 215,634 21.2 10,181.0 3
Terrassa 215,121 70.2 3,066.2 4
Sabadell 208,246 37.8 5,510.6 5
Lleida 138,144 212.3 650.7 6
Tarragona 131,094 57.9 2,264.9 7
Mataró 125,517 22.5 5,571.1 8
Santa Coloma de Gramenet 117,153 7.0 16,736.1 9
Reus 103,615 52.8 1,961.7 10
Girona 98,255 39.1 2,511.6 11
Sant Cugat del Vallès 88,921 48.2 1,843.7 12
Cornellà de Llobregat 86,072 7.0 12,313.6 13
Sant Boi de Llobregat 82,402 21.5 3,838.0 14
Rubí 75,167 32.3 2,327.2 15
Manresa 74,752 41.7 1,794.8 16
Vilanova i la Geltrú 65,972 34.0 1,940.9 17
Viladecans 65,779 20.4 3,224.5 18
Castelldefels 64,892 12.9 5,042.1 19
Prat de Llobregat, el 63,457 31.4 2,020.3 20
Granollers 60,174 14.9 4,046.7 21
Cerdanyola del Vallès 57,543 30.6 1,883.0 22
Mollet del Vallès 51,491 10.8 4,781.0 23
Gavà 46,266 30.8 1,504.6 24
Esplugues de Llobregat 45,733 4.6 9,942.0 25
Figueres 45,726 19.3 2,369.2 26
Sant Feliu de Llobregat 44,086 11.8 3,729.8 27
Vic 43,287 30.6 1,415.5 28
Vilafranca del Penedès 39,365 19.6 2,003.3 29
Blanes 39,060 17.7 2,211.8 30
Igualada 38,987 8.1 4,807.3 31
Ripollet 37,648 4.3 8,694.7 32
Lloret de Mar 37,042 48.7 760.5 33
Sant Adrià de Besòs 36,496 3.8 9,553.9 34
Vendrell, el 36,482 36.8 991.4 35
Montcada i Reixac 34,802 23.5 1,482.8 36
Olot 34,000 29.0 1,171.2 37
Tortosa 33,743 218.5 154.4 38
Sant Joan Despí 33,502 6.2 5,429.8 39
Cambrils 33,273 35.2 945.0 40
Barberà del Vallès 32,832 8.3 3,950.9 41
Sant Pere de Ribes 29,842 40.8 731.4 42
Salt 29,404 6.6 4,428.3 43
Sitges 28,478 43.9 649.4 44
Sant Vicenç dels Horts 27,961 9.1 3,065.9 45
Premià de Mar 27,866 2.1 13,206.6 46
Martorell 27,645 12.8 2,166.5 47
Sant Andreu de la Barca 27,434 5.5 4,988.0 48
Salou 26,386 15.1 1,744.0 49
Pineda de Mar 26,240 10.7 2,443.2 50
Santa Perpètua de Mogoda 25,556 15.8 1,614.4 51
Molins de Rei 25,359 15.9 1,590.9 52
Calafell 24,289 20.4 1,191.8 53
Valls 24,285 55.3 439.3 54
Olesa de Montserrat 23,645 16.6 1,421.8 55
Castellar del Vallès 23,633 44.9 526.2 56
Masnou, el 23,119 3.4 6,819.8 57
Palafrugell 22,868 26.9 850.7 58
Vila-seca 21,935 21.6 1,013.6 59
Esparreguera 21,766 27.4 794.4 60
Sant Feliu de Guíxols 21,760 16.2 1,340.7 61
Vilassar de Mar 20,678 4.0 5,169.5 62
Amposta 20,654 138.3 149.3 63
Manlleu 20,104 17.2 1,166.8 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 "..".