Nairobi : Map Data

Airports

Built-up Area

Bus Stops

Elevation

Hospitals & Clinics

Hotels

Lakes & Water Bodies

Malls

Parks & Green Spaces

Petrol Pumps

Police Stations

Road Network

Schools

Traffic Signals

Airports

Bus Stops

Petrol Pumps

Road Network

Traffic Signals

Built-up Area

Police Stations

Hospitals & Clinics

Elevation

Lakes & Water Bodies

Parks & Green Spaces

Schools

Airports

Hotels

Lakes & Water Bodies

Malls

Parks & Green Spaces

Police Stations

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Wards

GRID AVERAGE - 50%

PERCENTAGE

FEW MANY

PERCENTAGE, COUNT

Click on any grid to find it's elevation (in meters). Use below clear button to clear the selection.

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Description

All airfields within a certain distance of the city are shown, from a global database.

From Open Street Map data, the percentage of areas that are covered by buildings has been derived using colour at a pixel level as a proxy.

Elevation at the center of each grid, obtained from a global digital elevation dataset.

From Open Street Map data, the percentage of water bodies has been derived using colour at a pixel level as a proxy.

From Open Street Map data, the percentage of green spaces has been derived using colour at a pixel level as a proxy.

From Open Street Map data, the percentage of areas that are covered by roads has been derived using colour at a pixel level as a proxy.

The numerical count of bus stops marked on Open Street Map is shown.

The numerical count of such facilities, marked on Open Street Map, is shown.

The numerical count of hotels marked on Open Street Map is shown.

The numerical count of shopping malls marked on Open Street Map is shown.

The numerical count of petrol pumps marked on Open Street Map is shown.

The numerical count of police stations marked on Open Street Map is shown. Additionally, stations listed in local law enforcement web sites has also been added.

The numerical count of schools marked on Open Street Map is shown.

The numerical count of traffic signals is shown. The locations have been added from public records and through crowd-sourcing in different cities and localities.

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