Datasets:
name stringclasses 798
values | iso stringclasses 38
values | id stringclasses 810
values | country stringclasses 1
value | admin_level stringclasses 3
values | category stringclasses 1
value | range_type stringclasses 1
value | range int64 600 6k | population_type stringclasses 6
values | population int64 0 185M | population_share float64 0 100 | population_interval int64 0 62.4M | population_interval_share float64 0 100 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 600 | adults | 195,153 | 96.23 | 195,153 | 96.23 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 600 | elderly | 10,946 | 95.72 | 10,946 | 95.72 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 600 | school_age | 96,244 | 96.15 | 96,244 | 96.15 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 600 | total | 196,072 | 96.21 | 196,072 | 96.21 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 600 | under_5 | 23,230 | 96.13 | 23,230 | 96.13 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 600 | women_childbearing | 54,830 | 96.27 | 54,830 | 96.27 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 1,200 | adults | 202,793 | 100 | 7,640 | 3.77 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 1,200 | elderly | 11,436 | 100 | 490 | 4.28 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 1,200 | school_age | 100,100 | 100 | 3,856 | 3.85 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 1,200 | total | 203,806 | 100 | 7,734 | 3.79 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 1,200 | under_5 | 24,165 | 100 | 935 | 3.87 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 1,200 | women_childbearing | 56,956 | 100 | 2,126 | 3.73 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 1,800 | adults | 202,793 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 1,800 | elderly | 11,436 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 1,800 | school_age | 100,100 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 1,800 | total | 203,806 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 1,800 | under_5 | 24,165 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 1,800 | women_childbearing | 56,956 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 2,400 | adults | 202,793 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 2,400 | elderly | 11,436 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 2,400 | school_age | 100,100 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 2,400 | total | 203,806 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 2,400 | under_5 | 24,165 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 2,400 | women_childbearing | 56,956 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 3,000 | adults | 202,793 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 3,000 | elderly | 11,436 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 3,000 | school_age | 100,100 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 3,000 | total | 203,806 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 3,000 | under_5 | 24,165 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 3,000 | women_childbearing | 56,956 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 3,600 | adults | 202,793 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 3,600 | elderly | 11,436 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 3,600 | school_age | 100,100 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 3,600 | total | 203,806 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 3,600 | under_5 | 24,165 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 3,600 | women_childbearing | 56,956 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 4,200 | adults | 202,793 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 4,200 | elderly | 11,436 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 4,200 | school_age | 100,100 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 4,200 | total | 203,806 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 4,200 | under_5 | 24,165 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 4,200 | women_childbearing | 56,956 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 4,800 | adults | 202,793 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 4,800 | elderly | 11,436 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 4,800 | school_age | 100,100 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 4,800 | total | 203,806 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 4,800 | under_5 | 24,165 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 4,800 | women_childbearing | 56,956 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 5,400 | adults | 202,793 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 5,400 | elderly | 11,436 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 5,400 | school_age | 100,100 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 5,400 | total | 203,806 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 5,400 | under_5 | 24,165 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 5,400 | women_childbearing | 56,956 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 6,000 | adults | 202,793 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 6,000 | elderly | 11,436 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 6,000 | school_age | 100,100 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 6,000 | total | 203,806 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 6,000 | under_5 | 24,165 | 100 | 0 | 0 |
Aba North | null | 59680162B53329994117155 | NGA | ADM2 | hospitals | TIME | 6,000 | women_childbearing | 56,956 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 600 | adults | 456,044 | 90.38 | 456,044 | 90.38 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 600 | elderly | 22,565 | 90.33 | 22,565 | 90.33 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 600 | school_age | 222,850 | 90.36 | 222,850 | 90.36 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 600 | total | 455,322 | 90.38 | 455,322 | 90.38 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 600 | under_5 | 49,732 | 90.39 | 49,732 | 90.39 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 600 | women_childbearing | 126,604 | 90.4 | 126,604 | 90.4 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 1,200 | adults | 504,595 | 100 | 48,551 | 9.62 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 1,200 | elderly | 24,981 | 100 | 2,416 | 9.67 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 1,200 | school_age | 246,632 | 100 | 23,782 | 9.64 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 1,200 | total | 503,809 | 100 | 48,487 | 9.62 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 1,200 | under_5 | 55,019 | 100 | 5,287 | 9.61 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 1,200 | women_childbearing | 140,052 | 100 | 13,448 | 9.6 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 1,800 | adults | 504,595 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 1,800 | elderly | 24,981 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 1,800 | school_age | 246,632 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 1,800 | total | 503,809 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 1,800 | under_5 | 55,019 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 1,800 | women_childbearing | 140,052 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 2,400 | adults | 504,595 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 2,400 | elderly | 24,981 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 2,400 | school_age | 246,632 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 2,400 | total | 503,809 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 2,400 | under_5 | 55,019 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 2,400 | women_childbearing | 140,052 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 3,000 | adults | 504,595 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 3,000 | elderly | 24,981 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 3,000 | school_age | 246,632 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 3,000 | total | 503,809 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 3,000 | under_5 | 55,019 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 3,000 | women_childbearing | 140,052 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 3,600 | adults | 504,595 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 3,600 | elderly | 24,981 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 3,600 | school_age | 246,632 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 3,600 | total | 503,809 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 3,600 | under_5 | 55,019 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 3,600 | women_childbearing | 140,052 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 4,200 | adults | 504,595 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 4,200 | elderly | 24,981 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 4,200 | school_age | 246,632 | 100 | 0 | 0 |
Aba South | null | 59680162B9128777704300 | NGA | ADM2 | hospitals | TIME | 4,200 | total | 503,809 | 100 | 0 | 0 |
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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
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