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Population density. Municipalities with more than 20,000 inhabitants

Population density. Municipalities with more than 20,000 inhabitants Catalonia. 2006
Population Surface area km² Density inh./km² Ranking by number of inh.
Barcelona 1,605,602 101.4 15,842.0 1
Hospitalet de Llobregat, l' 248,150 12.4 20,010.5 2
Badalona 221,520 21.2 10,458.4 3
Sabadell 200,545 37.8 5,306.7 4
Terrassa 199,817 70.2 2,848.0 5
Tarragona 131,158 65.2 2,011.3 6
Lleida 125,677 212.3 592.0 7
Santa Coloma de Gramenet 119,056 7.0 17,005.6 8
Mataró 118,748 22.5 5,270.4 9
Reus 101,767 52.8 1,926.6 10
Girona 89,890 39.1 2,297.7 11
Cornellà de Llobregat 84,289 7.0 12,056.8 12
Sant Boi de Llobregat 81,368 21.5 3,789.7 13
Sant Cugat del Vallès 73,774 48.2 1,529.6 14
Manresa 71,772 41.7 1,723.2 15
Rubí 70,006 32.3 2,167.3 16
Prat de Llobregat, el 63,069 31.4 2,007.9 17
Vilanova i la Geltrú 62,826 34.0 1,848.3 18
Viladecans 61,168 20.4 2,998.3 19
Granollers 58,940 14.9 3,963.4 20
Castelldefels 58,663 12.9 4,557.8 21
Cerdanyola del Vallès 57,959 30.6 1,896.5 22
Mollet del Vallès 51,713 10.8 4,801.1 23
Esplugues de Llobregat 46,808 4.6 10,173.4 24
Gavà 44,531 30.8 1,448.1 25
Sant Feliu de Llobregat 42,486 11.8 3,594.1 26
Figueres 39,641 19.3 2,053.8 27
Vic 38,747 30.6 1,267.0 28
Blanes 37,819 17.7 2,141.4 29
Igualada 36,817 8.1 4,539.1 30
Vilafranca del Penedès 36,687 19.6 1,866.9 31
Ripollet 35,427 4.3 8,179.9 32
Tortosa 34,266 218.5 156.8 33
Lloret de Mar 32,728 48.7 671.9 34
Sant Adrià de Besòs 32,585 3.8 8,527.9 35
Montcada i Reixac 32,153 23.5 1,369.9 36
Vendrell, el 31,953 36.8 868.3 37
Olot 31,932 29.0 1,099.9 38
Sant Joan Despí 31,485 6.2 5,102.1 39
Barberà del Vallès 28,633 8.3 3,445.2 40
Salt 28,017 6.6 4,218.8 41
Premià de Mar 27,860 2.1 13,197.5 42
Cambrils 27,848 35.2 790.9 43
Sant Vicenç dels Horts 27,019 9.1 2,962.3 44
Sant Pere de Ribes 26,859 40.8 658.3 45
Martorell 26,170 12.8 2,050.8 46
Sitges 25,642 43.9 584.8 47
Pineda de Mar 25,504 10.7 2,374.4 48
Sant Andreu de la Barca 25,383 5.5 4,614.3 49
Molins de Rei 23,374 15.9 1,466.3 50
Valls 23,315 55.3 421.8 51
Salou 22,162 15.1 1,464.7 52
Masnou, el 21,833 3.4 6,438.5 53
Olesa de Montserrat 21,714 16.6 1,305.6 54
Santa Perpètua de Mogoda 21,644 15.8 1,367.2 55
Castellar del Vallès 21,335 44.9 475.1 56
Palafrugell 21,307 26.9 792.6 57
Esparreguera 21,145 27.4 771.7 58
Sant Feliu de Guíxols 20,867 16.2 1,285.6 59
Calafell 20,521 20.4 1,006.9 60
Source: Idescat i Institut Cartogràfic de Catalunya.

Last update: October 8, 2009.

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 "..".