Datasets:
metadata
language:
- en
license: odbl
tags:
- geospatial
- nigeria
- hospitals
- infrastructure
pretty_name: Nigeria Hospitals Accessibility Indicators
size_categories:
- 10K<n<100K
Nigeria Hospitals Accessibility Indicators
This dataset provides insights into spatial accessibility to hospital services across Nigeria. It uses travel-time isochrones to calculate the population within time intervals from 10 to 120 minutes away.
Data Structure
- name: Region or country name.
- iso: ISO3 country code.
- id: Unique identifier for the administrative unit.
- country: ISO3 country code.
- admin_level: Administrative level of the unit (ADM1-ADM4).
- category: hospitals.
- range_type: time.
- range: Time away (in seconds) from hospitals used to generate the polygon.
- population: Total population within the specified range.
- population_share: Cumulative percentage of total population.
- population_interval: Incremental population added in the current time band.
- population_interval_share: Share of the total population represented by the current interval.
Files
NGA_hospitals_access_long.parquet: Detailed interval data.NGA_hospitals_access_wide.parquet: Aggregated data per administrative unit.NGA_hospitals_access.gpkg: Geospatial polygons for the accessibility zones.
Methodology
Accessibility is assessed using travel-time isochrones overlayed with WorldPop population data (100m resolution).
Limitations
- OSM Completeness: Relies on OSM data; quality varies by region.
- Population Estimates: Based on statistical models (WorldPop top-down estimates), not direct census counts.
- Travel Time Assumptions: Models do not account for real-time traffic, seasonal weather (e.g., flooding), or road degradation.
- Boundary Precision: Boundaries from geoBoundaries may differ from official government demarcations.
Source
Created using openrouteservice and OpenStreetMap data. HeiGIT (Heidelberg Institute for Geoinformation Technology). Open Healthcare Access Map