Nigeria - Administrative Boundaries (levels 0 - 3)

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The dataset represents the Common Operational Data (COD) for administrative boundaries of Nigeria. Each administrative unit contains the p-code and name. Admin COD datasets (Admin 0 – 2) for Nigeria are endorsed by the Office of the Surveyor General of the Federal Republic of Nigeria (OSGOF) and the IMWG Feb 2017. See metadata for description of methodology for admin level 3 and the cleaning and processing performed by ITOS. Levels 0 - 3 are polygonal administrative units, Level 3 only covers Adamawa, Borno and Yobe States and are for operational purposes only.

Data and Resources


Source Office for the Surveyor General of the Federation of Nigeria (OSGOF), Ehealth, United Nations Cartographic Section (UNCS)
Date of Dataset Feb 23, 2017
Expected Update Frequency Never

Admin Level 3 (Wards) boundaries were developed by Ehealth Africa through the collation of settlements referred to as “Microplan” within each Local Government Area (LGA).

The list is then sent to Ward focal points and traditional leaders from respective LGAs to verify which Wards the settlements belong. This confirmation forms the basis for demarcating the ward boundaries. The ehealth boundaries are operational and constantly being updated.

The Ehealth boundaries are also cross-checked with the list of wards available from the Independent National Electoral Commission to harmonise the two available sources of ward level information.

The Nigeria boundaries from OSGOF and wards from Ehealth were reviewed by ITOS to clean and align the wards with the boundaries for Admin 0, 1 and 2 and international boundaries.

The complete evaluation report for the ITOS process can be found here

Caveats / Comments

Read me included in the datasets to provide guidance on use of fields.

Admin level 3 are developed for operational purposes only.

Two wards in the Administrative registry file (Sagir and Wurge) in Ngala, Borno State are not demarcated in the shapefile due to access constraint.

The COD replaces the following datasets: