Shapefiles for Ethiopia's Administrative boundaries: Regions, Zones and Woredas

Level 1-4 administrative boundaries for Ethiopia

Polygon Shapefile, Ethiopia Regions Proj: EPSG 4326 (unprojected) Source: https://data.humdata.org/ Description: Regions of Ethiopia

Ethiopia administrative level 0-3 boundaries (COD-AB) dataset.

These administrative boundaries were established in: 2021

NOTE: See COD-AB caveats about missing features. See COD-PS caveats about data rounding.

This COD-AB was most recently reviewed for accuracy and necessary changes in December 2024. The COD-AB requires improvements.

Sourced from CSA (Central Statistics Agency) + Regional Bureau of Finance and Economic Development (BoFED)

Vetting by Information Technology Outreach Services (ITOS) with funding from USAID.

This COD-AB is suitable for database or GIS linkage to the Ethiopia COD-PS.

No edge-matched (COD-EM) version of this COD-AB has yet been prepared.

Please see the COD Portal.

Administrative level 1 contains 13 feature(s). The normal administrative level 1 feature type is ""Region"".

Administrative level 2 contains 92 feature(s). The normal administrative level 2 feature type is ""Zone"".

Administrative level 3 contains 1,082 feature(s). The normal administrative level 3 feature type is ""Woreda"". These administrative boundaries became out of date in: 2023

Recommended cartographic projection: Africa Albers Equal Area Conic

This metadata was last updated on January 9, 2025.

Download high-quality, up-to-date Ethiopia shapefile boundaries (SHP, projection system SRID 4326). Our Ethiopia Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

Projected Coordinate System: WGS 84 / UTM zone 37N Projection: Transverse_Mercatortract provided. source: CSA

Source: ethioGIS Projected Coordinate System: Adindan_UTM_Zone_37

Last Update:7. 7. 2023 - lvl2: update of new administrative boundaries of the Sidama region - structure of zones (layer Level2) - new boundaries and names3. 4. 2023 - lvl3: update of the Bonke woreda boundary (on the basis of division into the two woredas: Bonke and Geresse)Data Descriptionlvl1 - Region/state. Contain only the boundary of South Nations, Nationalities and People's Regional state.lvl2 - Zones. Divides the territory into zones covering SNNPR statelvl3 - Woredas. Administrative sub-unit of the zone.Administrative unit lvl 4 - kebele is separated layer, see description at https://arcg.is/00mS4f0

IRC’s GIS unit created this database to allow for a more sustained approach to producing relevant mapping products and geospatial analysis for regions undergoing emergencies, and will fill gaps in information sharing and management between OFDA, IRC, and other implementing partners during emergency response. IRC’s GIS services provide OFDA/Ethiopia with the information and analysis required to monitor the evolution of project / program results and to track project and program impacts across implementing agencies and geographic locations. This dataset contains boundaries of Ethiopian administrative Woredas which are roughly consistent with the actual administrative boundaries for the year 2019. The Woreda boundary contains attribute data (implementing Partners, Situation and Sector Fields)for Hotspot woredas in the nation by the different sectors as of 30 June 2020.

This dataset contains daily woreda (district) level summaries of remotely sensed environmental indices for all of Ethiopia from 2002-2021.The indices characterize precipitation, land surface temperature, and spectral indices including the normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), soil-adjusted vegetation index (SAVI), and normalized difference water index (NDWI). For the land surface temperature variables and spectral indices, additional fields contain information about the numbers of valid pixels used to calculate the woreda summaries from the original gridded datasets.The data consists of three comma delimited files that contain the summarized environmental indices and a ESRI shapefile that contains the woreda boundaries and codes.export_precip_data_2002-01-01_2021-12-31.csvNewPCODE: Unique alphanumeric code for each woredaR_NAME: Region nameZ_NAME: Zone nameW_NAME: Woreda nameyear: Year observationdoy: Day of year of observationtotprec: Total daily precipitation (mm/hr)export_lst_data_2002-01-01_2021-12-31.csvNewPCODE: Unique alphanumeric code for each woredaR_NAME: Region nameZ_NAME: Zone nameW_NAME: Woreda nameyear: Year observationdoy: Day of year of observationlst_day: Daytime land surface temperature (degrees C)lst_night: Nighttime land surface temperature (degrees C)lst_mean: Mean land surface temperature (degrees C)pixels_lstd: Number of valid pixels used to compute lst_daypixels_lstn: Number of valid pixels used to compute lst_nightpixels_lstm: Number of valid pixels used to compute lst_meanpixels_total: Total number of pixels in the woredaexport_spectral_data_2002-01-01_2021-12-31.csvNewPCODE: Unique alphanumeric code for each woredaR_NAME: Region nameZ_NAME: Zone nameW_NAME: Woreda nameyear: Year observationdoy: Day of year of observationndvi: Normalized difference vegetation indexsavi: Soil-adjusted vegetation indexevi: Enhanced vegetation indexndwi5: Normalized difference water index (band 5)ndwi6: Normalized difference water index (band 6)pixels_ndvi: Number of valid pixels used to compute ndvi, savi, evi, ndwi5, and ndwi6pixels_total: Total number of pixels in the woredaEth_Admin_Woreda_2019_20200702.shpEth_Admin_Woreda_2019_20200702.shxEth_Admin_Woreda_2019_20200702.dbfEth_Admin_Woreda_2019_20200702.prjNewPCODE: Unique alphanumeric code for each woredaR_NAME: Region nameZ_NAME: Zone nameW_NAME: Woreda namePrecipitation data were obtained from the NASA Global Precipitation Mission (GPM) Integrated Multi-satellitE Retrievals for GPM (IMERG) datasets (GPM_3IMERGHH_V06 and GPM_3IMERGHH_06). These data have a pixel size of 0.1 degrees and are available at half-hour invervals. They were aggregated to generate daily precipitation totals.Land surface temperature data were obtained from the NASA MOderate Resolution Imaging Spectroradiometer (MODIS) Terra 8-day product (MOD11A2). These data have a pixel size of 1000 m and are summarized as 8-day composites. They were disaggregated to daily values and used to summarize day, night, and mean of day and night temperatures.Spectral indices were calculated using the NASA MODIS Nadir BRDF-Adjusted Reflectance (NBAR) product. These data have a pixel size of 500 m and are summarized daily using a 16-day moving window composite. They were used to calculate the following indices as functions of the MODIS spectral bands.NDVI = (B2 - B1)/(B2 + B1)SAVI = (1.5 * (B2 - B1)) / (B2 + B1 + 0.5)EVI = (2.5 * (B2 - B1)) / (B2 + 6 * B1 - 7.5 * B3 + 1)NDWI5 = (B2 - B5) / (B2 + B5)NDWI6 = (B2 - B6) / (B2 + B6)

No abstract provided.

Showing administrative areas.

The Map Library is a project of the UK charity “The Map Maker Trust." It aims to make public domain mapping data more readily available for development in all kinds of fields, from health care to urban management, from de-mining to environmental protection.

This web map references the live tiled map service from the OpenStreetMap project. OpenStreetMap (OSM) is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information such as free satellite imagery, and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap server: http://www.OpenStreetMap.org. See that website for additional information about OpenStreetMap. It is made available as a basemap for GIS work in Esri products under a Creative Commons Attribution-ShareAlike license.Tip: This service is one of the basemaps used in the ArcGIS.com map viewer and ArcGIS Explorer Online. Simply click one of those links to launch the interactive application of your choice, and then choose Open Street Map from the Basemap control to start using this service. You'll also find this service in the Basemap gallery in ArcGIS Explorer Desktop and ArcGIS Desktop 10.

Mineral resource occurrence data covering the world, most thoroughly within the U.S. This database contains the records previously provided in the Mineral Resource Data System (MRDS) of USGS and the Mineral Availability System/Mineral Industry Locator System (MAS/MILS) originated in the U.S. Bureau of Mines, which is now part of USGS. The MRDS is a large and complex relational database developed over several decades by hundreds of researchers and reporters. While database records describe mineral resources worldwide, the compilation of information was intended to cover the United States completely, and its coverage of resources in other countries is incomplete. The content of MRDS records was drawn from reports previously published or made available to USGS researchers. Some of those original source materials are no longer available. The information contained in MRDS was intended to reflect the reports used as sources and is current only as of the date of those source reports. Consequently MRDS does not reflect up-to-date changes to the operating status of mines, ownership, land status, production figures and estimates of reserves and resources, or the nature, size, and extent of workings. Information on the geological characteristics of the mineral resource are likely to remain correct, but aspects involving human activity are likely to be out of date.

This polygon shapefile contains the second-level administrative divisions of Ethiopia (adm2). Level 2 divisions include zones. This layer is part of the Global Administrative Areas 2015 (v2.8) dataset.

IRC’s GIS unit created this database to allow for a more sustained approach to producing relevant mapping products and geospatial analysis for regions undergoing emergencies, and will fill gaps in information sharing and management between OFDA, IRC, and other implementing partners during emergency response. IRC’s GIS services provide OFDA/Ethiopia with the information and analysis required to monitor the evolution of project / program results and to track project and program impacts across implementing agencies and geographic locations. This dataset contains boundaries of Ethiopian administrative Woredas which are roughly consistent with the actual administrative boundaries for the year 2017.The Woreda boundary contains attribute data (implementing Partners, Situation and Sector Fields) for IRC Ethiopia OFDA Funded Emergency Responses as of 31July 2020.

Projected Coordinate System: Adindan_UTM_Zone_37N Projection: Transverse_Mercator Source: GII

This polygon shapefile represents areas of inland water in Ethiopia. The Global Map Ethiopia version 2 was developed based on Global Map Specifications version 2.1.

Projected Coordinate System: Adindan_UTM_Zone_37N Projection: Transverse_Mercator Source: GII