Navrongo

Navrongo, Upper East

Navrongo is a residential town in Upper East. Habivista GIS layers use seed-time OpenStreetMap and supporting public datasets for nearby facilities, transport stops, green space, and indicative flood exposure.

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Map & GIS layers

Toggle what matters to you

Flooding risk, walkability, transit, schools, and more — each scored 1–5 with sources you can audit.

Map insights

Toggle mapped overlays. Disabled rows mean the score exists, but no drawable features are mapped yet.

Lifestyle

Risks & utilities

Markets
Day markets, supermarkets, farmers' markets
Mixed
Score3.0 / 5
1 mapped markets features inside the mapped neighbourhood boundary. Score uses weighted mapped count and nearest-feature distance. Distances are straight-line from the town centre.
Score model
- Mapped feature count60% · 1 features
- Nearest mapped feature40% · 0.1 km
As of May 2026Sources: OpenStreetMap
Schools
International, private, and public school density
Good
Score4.0 / 5
7 mapped school features in the schools layer, including 1 source-backed Ghana schools workbook pin. Workbook rows without verified or seed-time matched coordinates are not drawn. Score uses weighted mapped count and nearest-school distance; distances are straight-line from the neighbourhood centre.
Score model
- Mapped feature count60% · 7 features
- Nearest mapped feature40% · 0.5 km
As of May 2026Sources: OpenStreetMap, Ghana schools geocoding workbook, OpenStreetMap/Nominatim, SHS Select, GES/EMIS verification queue
Transit
Trotros, taxis, and commuter routes
Limited
Score2.0 / 5
1 mapped bus stops inside the mapped neighbourhood boundary. Transit summary still reflects broader trotro, taxi, and commuter-route access; the map score uses weighted bus-stop count and nearest-stop distance.
Score model
- Mapped feature count65% · 1 features
- Nearest mapped feature35% · 0.4 km
As of May 2026Sources: OpenStreetMap
Flood risk
Rainy-season waterlogging and catchment zones
Low indicative risk
Score5.0 / 5
Indicative, non-authoritative exposure layer from 1 mapped waterways/water features inside the mapped neighbourhood boundary. Score uses weighted local water-feature density, nearest water-feature distance, and low-weight EONET support. Confirm individual properties during inspection.
Score model
- Mapped waterways and water features45% · 1 features
- Nearest mapped water feature40% · 0.8 km
- NASA EONET regional support15% · 0 events
As of May 2026Sources: OpenStreetMap, NASA EONET, Habivista neighbourhood guide
Green space
Parks, tree cover, and open green areas
Sparse
Score1.0 / 5
0 mapped green space features within 1.5 km of the town centre. Score uses weighted mapped count and nearest-feature distance, plus approximate mapped green area. Distances are straight-line from the town centre.
Score model
- Mapped feature count35% · 0 features
- Nearest mapped feature40% · 1.5 km
- Mapped green area25% · 0 ha
As of May 2026Sources: OpenStreetMap
Healthcare
Hospitals, clinics, pharmacies
Excellent
Score5.0 / 5
14 mapped healthcare features in the healthcare layer, including 10 source-backed Ghana health-facility workbook pins. Workbook rows needing coordinate QA are not drawn. Score uses weighted mapped count and nearest-healthcare distance; distances are straight-line from the neighbourhood centre.
Score model
- Mapped feature count60% · 14 features
- Nearest mapped feature40% · 0.2 km
As of May 2026Sources: OpenStreetMap, Ghana hospitals and health facilities geocoding workbook, Ghana Open Data health facilities CSV