Côte d’Ivoire GPS (PMA2020) Dataset

Survey Title:
Côte d’Ivoire GPS (PMA2020) Dataset
Dataset Persistent ID:
10.34976/pzx0-8x92
Country:
Cote D'Ivoire
Suggested Citation:

Institut National de la Statistique de la Côte d’Ivoire (INS-Côte d’Ivoire); La Direction de Coordination du Programme National de Santé de la Mère et de l’Enfant (DC-PNSME); and the Bill & Melinda Gates Institute for Population and Reproductive Health at the Johns Hopkins Bloomberg School of Public Health. Performance Monitoring and Accountability 2020 (PMA2020) Côte d’Ivoire GPS Dataset (Version 1.1), PMA2018/CI-GPS. 2018. Abidjan, Cote d'Ivoire and Baltimore, Maryland, USA​. https://doi.org/10.34976/pzx0-8x92

Survey Type:
GPS
Organizations:

Institut National de la Statistique de la Côte d’Ivoire (INS-Côte d’Ivoire); La Direction de Coordination du Programme National de Santé de la Mère et de l’Enfant (DC-PNSME); and the Bill & Melinda Gates Institute for Population and Reproductive Health at the Johns Hopkins Bloomberg School of Public Health.

Description:

In PMA2020 survey rounds, GPS coordinate data are collected at the household level during the household listing process and after the completion of every household interview. The household listing process involves listing every household in a sampled enumeration area (EA). EAs usually include about 200 households. Within each EA, between 35 and 42 households are randomly selected for the household interview per PMA2020 survey round. The GPS data are recorded as geographic coordinates (i.e. degrees in latitude and longitude). During ideal GPS data collection situations (i.e. flat horizon, no obstructions from vegetation canopy or buildings), the level of accuracy of the coordinates is typically within six meters. However, because GPS data can be used to identify individuals, raw GPS data from confidential surveys cannot be released publicly. Performance Monitoring for Action (PMA) uses the DHS approach to randomly displace the GPS latitude and longitude positions of PMA survey respondents. This procedure nearly eliminates the likelihood of identifying individuals with GPS data, yet retains the locational detail for spatial analysis. PMA data can be used to perform research using location information while respondent confidentiality is maintained.

Field work:
-
Keywords:
Family Planning
Reproductive Health
Contraception
WASH
GPS
Survey Research
Côte d'Ivoire
Funding:
PMA2020 project is funded by the Bill & Melinda Gates Foundation.