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Population density. Municipalities with more than 20,000 inhabitants

Population density. Municipalities with more than 20,000 inhabitants Catalonia. 2018
Population Surface area km² Density inh./km² Ranking by number of inh.
Barcelona 1,620,343 101.4 15,987.6 1
Hospitalet de Llobregat, l' 261,068 12.4 21,053.9 2
Terrassa 218,535 70.2 3,114.8 3
Badalona 217,741 21.2 10,280.5 4
Sabadell 211,734 37.8 5,602.9 5
Lleida 137,856 212.3 649.4 6
Tarragona 132,299 57.9 2,285.8 7
Mataró 126,988 22.5 5,636.4 8
Santa Coloma de Gramenet 118,821 7.0 16,974.4 9
Reus 103,477 52.8 1,959.1 10
Girona 100,266 39.1 2,563.0 11
Sant Cugat del Vallès 90,664 48.2 1,879.8 12
Cornellà de Llobregat 87,173 7.0 12,471.1 13
Sant Boi de Llobregat 82,904 21.5 3,861.4 14
Rubí 76,423 32.3 2,366.0 15
Manresa 76,250 41.7 1,830.7 16
Castelldefels 66,375 12.9 5,157.3 17
Vilanova i la Geltrú 66,274 34.0 1,949.8 18
Viladecans 66,168 20.4 3,243.5 19
Prat de Llobregat, el 64,132 31.4 2,041.8 20
Granollers 60,981 14.9 4,100.9 21
Cerdanyola del Vallès 57,740 30.6 1,889.4 22
Mollet del Vallès 51,133 10.8 4,747.7 23
Gavà 46,705 30.8 1,518.9 24
Figueres 46,381 19.3 2,403.2 25
Esplugues de Llobregat 46,355 4.6 10,077.2 26
Vic 45,040 30.6 1,472.9 27
Sant Feliu de Llobregat 44,474 11.8 3,762.6 28
Vilafranca del Penedès 40,055 19.6 2,038.4 29
Igualada 39,540 8.1 4,875.5 30
Blanes 38,790 17.7 2,196.5 31
Ripollet 38,347 4.3 8,856.1 32
Lloret de Mar 37,350 48.7 766.8 33
Vendrell, el 37,153 36.8 1,009.6 34
Sant Adrià de Besòs 36,669 3.8 9,599.2 35
Montcada i Reixac 35,599 23.5 1,516.8 36
Olot 34,486 29.0 1,187.9 37
Sant Joan Despí 34,084 6.2 5,524.2 38
Tortosa 33,510 218.5 153.4 39
Cambrils 33,362 35.2 947.5 40
Barberà del Vallès 32,839 8.3 3,951.7 41
Sant Pere de Ribes 30,658 40.8 751.4 42
Salt 30,622 6.6 4,611.8 43
Sitges 28,969 43.9 660.6 44
Premià de Mar 28,071 2.1 13,303.8 45
Sant Vicenç dels Horts 27,901 9.1 3,059.3 46
Martorell 27,850 12.8 2,182.6 47
Sant Andreu de la Barca 27,332 5.5 4,969.5 48
Salou 26,775 15.1 1,769.7 49
Pineda de Mar 26,659 10.7 2,482.2 50
Santa Perpètua de Mogoda 25,705 15.8 1,623.8 51
Molins de Rei 25,687 15.9 1,611.5 52
Calafell 25,444 20.4 1,248.5 53
Valls 24,156 55.3 437.0 54
Castellar del Vallès 24,036 44.9 535.2 55
Olesa de Montserrat 23,779 16.6 1,429.9 56
Masnou, el 23,340 3.4 6,885.0 57
Palafrugell 22,860 26.9 850.5 58
Vila-seca 22,107 21.6 1,021.6 59
Esparreguera 22,045 27.4 804.6 60
Sant Feliu de Guíxols 21,824 16.2 1,344.7 61
Vilassar de Mar 20,764 4.0 5,191.0 62
Amposta 20,606 138.3 149.0 63
Manlleu 20,194 17.2 1,172.0 64
Source: Idescat. Municipal population register; Institut Cartogràfic de Catalunya.

Last update: January 2, 2019.

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 "..".