Nigeria - Subnational Administrative Boundaries

Administrative level 0 (country), 1 (state), 2 (local government area), 3 (wards - northeast Nigeria), and senatorial district boundary geodatabase

Administrative level 0 (country), 1 (state), 2 (local government area), 3 (wards - northeast Nigeria), and senatorial district gazetteer

Administrative level 0 (country), 1 (state), 2 (local government area), 3 (wards - northeast Nigeria), and senatorial districts boundary shapefiles

Administrative level 0 (country), 1 (state), 2 (local government area), 3 (wards - northeast Nigeria), and senatorial district boundary EMF files

Administrative level 0 (country), 1 (state), 2 (local government area), 3 (wards - northeast Nigeria), and senatorial districts boundary KMZ files

This map service contains OCHA Common Operational Datasets for Nigeria: Administrative Boundaries. The service is available as ESRI Map, WMS, and KML Services.

This service is intended as a labelling layer for PCODES from OCHA's Common Operational Datasets for Nigeria. As a map service it is intended to be used in conjunction with the basemap located at http://gistmaps.itos.uga.edu/arcgis/rest/services/COD_External/NGA_EN/MapServer. The service also provides feature access to Administrative Boundaries and Populated Places geometry and taxonomy. The service is available as ESRI Map, WMS, ESRI Feature, WFS and KML Services.

This service is intended as a labelling layer for PCODES from OCHA's Common Operational Datasets for Nigeria. As a map service it is intended to be used in conjunction with the basemap located at http://gistmaps.itos.uga.edu/arcgis/rest/services/COD_External/NGA_EN/MapServer. The service also provides feature access to Administrative Boundaries and Populated Places geometry and taxonomy. The service is available as ESRI Map, WMS, ESRI Feature, WFS and KML Services.

This dataset is of simplified geometries from COD live services deployed Sept. 2019. To preview, download from link and load in https://mapshaper.org. Methodology: Simplification methods applied from ESRI libraries using Python, Node.js and Mapshaper.js and based on adapted procedures for best outcomes preserving shape, topology and attributes. These data are not a substitute for the original COD data sets used in GIS applications. No warranties of any kind are made for any purpose and this dataset is offered as-is.