Ramani Huria Community Flood Mapping

🤖 AI-generated summary of the sources below · 🔎 Last verified

This overview was generated with AI from the public sources listed below and checked against them before publication. It has not had a complete human fact-check — treat it as a starting point and follow the sources.

How this atlas is made · What “last verified” means · What “source-checked” means

Ramani Huria ('open map' in Swahili) trained roughly 470 university students and hundreds of Red Cross volunteers to map flood-prone Dar es Salaam onto OpenStreetMap using smartphones, drones and street-view surveys. Between 2015 and 2020 it mapped about 49 of the city's 90 wards and some 450,000 buildings, and the city's multi-agency emergency team DarMAERT still uses the flood atlases in disaster response. OMDTZ, the local NGO that grew out of the project, said in a September 2025 retrospective that rapid urban growth has left parts of the map outdated, and that it keeps patching OpenStreetMap through volunteer mapathons rather than a funded successor programme.

Completed 📅 2015–2020
Evidence🏛️ Official
what does this mean?The strongest source is the operator's or the city's own reporting — an official report, dataset or press release. It grades who did the looking — not how well the project went. All four grades →
Scale🏙️ City-wide
FundingWorld Bank / GFDRR + UK DfID (Tanzania Urban Resilience Programme)

📊 Impact

Mapped ~49 of 90 wards (about half the city), ~450,000 buildings and ~1,700 schools to OpenStreetMap (2015-2020); data absorbed by national statistics and disaster-management bodies.

🎓 Lesson

The lasting value was the open dataset itself: community-generated maps outlived the funded programme and fed into national statistics and disaster-response planning.

📎 Cite this project

1001 Smart Cities (2026). “Ramani Huria Community Flood Mapping” — Dar es Salaam, Tanzania. The Smart City Atlas. https://1001smartcities.org/projects/dar-es-salaam-ramani-huria/ (last verified 2026-08-07). Data: CC BY 4.0.

The underlying data is free to reuse with attribution — see the open data page.

✉️ Get the next source-checked smart-city project in your inbox

One short email a week: the Landmark, one Insight, the new cities. No spam, one-click unsubscribe. About the newsletter · RSS