Village priorization Tanzania

This tool was developed to support private and public actors in Tanzania to quickly and accurately prioritize villages by their potential for off-grid electrification, based on information such as population density, distance to grid, solar resource and others.

The menu on the left provides access to further information about the tool, links to data sources and outputs, and filters to refine the results displayed in the tool.

In addition to this tool, detailed house-hold level maps are being created of almost every rural village in Tanzania. This data will become visible in this tool as it is created and added to OpenStreetMap.

Tool development was supported by the Reiner Lemoine Institut, INTEGRATION environment and energy, and the Humanitarian Openstreetmap Team.

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Data sources

Access input data

The data for the analysis was downloaded form the following sources: High Resolution Settlement Layer: CIESIN.
Region, District, Ward and Village shapefiles: NBS GIS Open Data Portal.
Global Horizontal Irradiance raster dataset: Global Solar Atlas.
Number of healthsites and water sources dataset: NBS GIS Open Data Portal.
The processing steps for preparing the data for the prioritization are described with details and examples in this section.

Methodology for data preparation

An overview of the web-map development is provided here.

Filter

Distance to grid (km)

Use this to filter the results to villages further or closer to existing grid infrastructure. Proximity to grid infrastructure can indicate ease of connection, while more remote locations may be more suitable to off-grid solutions.

Population range

Use this to filter the results to a desired population range. Note that this data may not agree with the latest census data.

Presence of social infrastructure

If selected, this will filter the results to only show those villages with social infrastructure such as schools, hospitals, public institutions and water points.

Multi-criteria ranking

Each village is ranked based on a number of criteria. This can be adjusted by downloading the complete data as a CSV file from the menu and choosing a ranking that suits your needs, but here a quick overview is given. It ranges from 0.01 to 0.25 and combined the above described criteria and ranks the villages according to their scoring.

About the map

Source code for the webmap can be found here.

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Download

The data visualized in this tool can be downloaded from ENERGYDATA.INFO. This will allow complete exploration, and filtering villages and results much more freely. Available formats are GeoJSON, Shapefile or CSV.

To access the detailed data with the houses, buildings and roads individually mapped, please visit OpenStreetMap and find the area of interest.

To download the OpenStreetMap data to use in software such as QGIS, please use the HOT Export Tool where you can select the area of interest and the required data for download.

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.