Updated
11 June 2019
| Dataset date: June 10, 2019-June 10, 2019
The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Peru: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
Updated
11 June 2019
| Dataset date: June 10, 2019-June 10, 2019
The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Paraguay: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
Updated
11 June 2019
| Dataset date: June 10, 2019-June 10, 2019
The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Panama: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
Updated
11 June 2019
| Dataset date: June 10, 2019-June 10, 2019
The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Nicaragua: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
Updated
11 June 2019
| Dataset date: June 10, 2019-June 10, 2019
The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Montserrat: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
Updated
29 June 2018
| Dataset date: July 20, 2016-July 20, 2016
Ce jeu de données contient l'ensemble des indicateurs de la santé de la mère et de l'enfant avec le libellé des indicateurs, la définition, le mode de calcul, la source, la périodicité,le niveau et les responsables de collecte.