Vital Statistics: Deaths Statistics
Year 2018
Palmas (Las) by municipalities and demographic phenomenon . 
Unidades: demographic phenomena

,Live-births by maternal residence,Late fetal deaths by maternal residence,Marriages by married couple residence,Deaths by place of residence,Net natural increase,
35001 Agaete,29,0,20,52,-23,
35002 Agüimes,240,1,130,166,74,
35020 Aldea de San Nicolás, La,46,0,13,97,-51,
35003 Antigua,65,0,20,31,34,
35004 Arrecife,606,3,253,333,273,
35005 Artenara,5,0,0,10,-5,
35006 Arucas,226,1,191,285,-59,
35007 Betancuria,5,0,4,5,0,
35008 Firgas,42,0,34,78,-36,
35009 Gáldar,132,1,67,224,-92,
35010 Haría,21,0,13,44,-23,
35011 Ingenio,248,0,130,194,54,
35012 Mogán,131,0,40,115,16,
35013 Moya,28,0,26,103,-75,
35014 Oliva, La,203,0,91,97,106,
35015 Pájara,213,0,72,64,149,
35016 Palmas de Gran Canaria, Las,2.399,7,1.284,3.515,-1.116,
35017 Puerto del Rosario,394,1,179,203,191,
35018 San Bartolomé,163,0,92,88,75,
35019 San Bartolomé de Tirajana,329,0,187,339,-10,
35021 Santa Brígida,79,0,67,129,-50,
35022 Santa Lucía de Tirajana,579,2,280,358,221,
35023 Santa María de Guía de Gran Canaria,76,0,50,151,-75,
35024 Teguise,157,0,63,99,58,
35025 Tejeda,9,0,3,22,-13,
35026 Telde,676,3,417,706,-30,
35027 Teror,55,0,46,110,-55,
35028 Tías,150,0,67,97,53,
35029 Tinajo,32,0,25,41,-9,
35030 Tuineje,138,0,73,72,66,
35032 Valleseco,21,0,1,48,-27,
35031 Valsequillo de Gran Canaria,48,0,38,61,-13,
35033 Vega de San Mateo,29,0,24,64,-35,
35034 Yaiza,168,1,64,55,113,
Notas:
Fuente: National Statistics Institute