Ethiopia Cities with Latitude & Longitude – Download in Excel, CSV, SQL, JSON, XML
Last update : 23 March 2026.
Here you’ll find a curated sample of 100 key cities from Ethiopia, each with essential data points such as latitude, longitude, administrative region, and other relevant attributes.
This preview is extracted from our full dataset, which includes a total of 10820 geographic locations across Ethiopia.
Whether you’re working on mapping, analytics, or app development, the data is available for both personal and commercial use.
All entries can be downloaded in five formats: Excel (.xlsx), CSV, SQL, JSON, and XML.
Capital Highlight: The official capital city of Ethiopia is Addis Ababa.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 338997 | Dīla | ET | Oromiya | 9.4 | 35.48333 | 0 | Africa/Addis_Ababa | populated place | |||
| 340986 | Ch’efē Michīny | ET | Amhara | 10.42614 | 39.28543 | 0 | Africa/Addis_Ababa | populated place | |||
| 341981 | Bishoftu | ET | Oromiya | 9.1 | 37.25 | 0 | Africa/Addis_Ababa | populated place | |||
| 341161 | Cartati | Cartad,Cartati | ET | Āfar | 12.05814 | 41.57649 | 0 | Africa/Addis_Ababa | populated place | ||
| 338828 | Dirē Dega | ET | Oromiya | 9.71667 | 37.93333 | 0 | Africa/Addis_Ababa | populated place | |||
| 334616 | Horo | ET | Oromiya | 9.4 | 38.96667 | 0 | Africa/Addis_Ababa | populated place | |||
| 330638 | Minarē | ET | Oromiya | 9.61667 | 38.25 | 0 | Africa/Addis_Ababa | populated place | |||
| 329332 | Sanano | ET | Oromiya | 9.3 | 40.45 | 0 | Africa/Addis_Ababa | populated place | |||
| 326532 | Wedēs | ET | Oromiya | 9.8 | 38.78333 | 0 | Africa/Addis_Ababa | populated place | |||
| 344889 | Adi Uorche | ET | Tigray | 13.56667 | 39.2 | 0 | Africa/Addis_Ababa | populated place | |||
| 340933 | Ch’eleysa | Ch’eleysa,Ch’eleysa,Kheleysa | ET | Oromiya | 9.46722 | 41.925 | 0 | Africa/Addis_Ababa | populated place | ||
| 342463 | Belamba Casci | ET | Tigray | 13.85 | 37.4 | 0 | Africa/Addis_Ababa | populated place | |||
| 343826 | Ānīk’a | ET | SNNPR | 6.4 | 37.26667 | 0 | Africa/Addis_Ababa | populated place | |||
| 8402282 | Kamkere | ET | Gambela | 8.31448 | 33.22891 | 0 | Africa/Addis_Ababa | populated place | |||
| 338221 | El Baro | ET | Oromiya | 4.96667 | 38.31667 | 0 | Africa/Addis_Ababa | populated place | |||
| 327368 | Ts’ahlo | Ts’ahlo,Tsakhlo,Ts’ahlo | ET | Tigray | 13.63067 | 39.46709 | 0 | Africa/Addis_Ababa | populated place | ||
| 331137 | Melasni | ET | Somali | 10.16667 | 41.56667 | 0 | Africa/Addis_Ababa | populated place | |||
| 336918 | Gengena | ET | Amhara | 11.56667 | 39.25 | 0 | Africa/Addis_Ababa | populated place | |||
| 326287 | Weranso | ET | Āfar | 11.30309 | 40.52651 | 0 | Africa/Addis_Ababa | populated place | |||
| 332270 | Lam Washa | ET | Amhara | 9.96283 | 39.11281 | 0 | Africa/Addis_Ababa | populated place | |||
| 8643800 | Pawe Liyou | ET | 11.3333 | 36.3333 | 0 | Africa/Addis_Ababa | populated place | ||||
| 343699 | Ārar Imba | ET | Tigray | 12.7 | 39.55 | 0 | Africa/Addis_Ababa | populated place | |||
| 332969 | K’obdē | ET | Oromiya | 7.98333 | 39.81667 | 0 | Africa/Addis_Ababa | populated place | |||
| 339977 | Danya | ET | Amhara | 11.73333 | 38.73333 | 0 | Africa/Addis_Ababa | populated place | |||
| 328989 | Sek’e | ET | Oromiya | 9.55 | 38.56667 | 0 | Africa/Addis_Ababa | populated place | |||
| 330017 | Obelleh | ET | Somali | 7.93333 | 43.15 | 0 | Africa/Addis_Ababa | populated place | |||
| 336380 | Gīt’a | ET | Amhara | 10.22514 | 39.02074 | 0 | Africa/Addis_Ababa | populated place | |||
| 326616 | War Hinlei | Uar Hinlei,War Hinlei | ET | Somali | 5.61667 | 42.78333 | 0 | Africa/Addis_Ababa | populated place | ||
| 341431 | Buol | Bol,Buol | ET | Gambela | 8.26877 | 33.92392 | 0 | Africa/Addis_Ababa | populated place | ||
| 341030 | Ch’eber | ET | Oromiya | 9.6 | 37.13333 | 0 | Africa/Addis_Ababa | populated place | |||
| 325608 | Zigbī | ET | SNNPR | 8.38333 | 38.6 | 0 | Africa/Addis_Ababa | populated place | |||
| 332897 | K’oladī | ET | Amhara | 10.86454 | 39.81687 | 0 | Africa/Addis_Ababa | populated place | |||
| 342262 | Beshē | ET | Oromiya | 9.33333 | 37.1 | 0 | Africa/Addis_Ababa | populated place | |||
| 335207 | Hallo Roba | Hallo Roba,Harro Roba | ET | Oromiya | 8.12492 | 41.64361 | 0 | Africa/Addis_Ababa | populated place | ||
| 340244 | Dagetē | ET | Amhara | 9.17775 | 39.74421 | 0 | Africa/Addis_Ababa | populated place | |||
| 330663 | Mik’imat’ Āriwa | Mik’imat’ Ariwa,Mikimat Ariuo,Mik’imat’ Āriwa | ET | Tigray | 13.66741 | 39.39544 | 0 | Africa/Addis_Ababa | populated place | ||
| 8620916 | Balchi | ET | Amhara | 10.30023 | 39.96816 | 0 | Africa/Addis_Ababa | populated place | |||
| 325933 | Yegint | Ieghind,Yegint | ET | Amhara | 11.43333 | 37.56667 | 0 | Africa/Addis_Ababa | populated place | ||
| 337830 | Fentīda | ET | Āfar | 9.75169 | 40.21145 | 0 | Africa/Addis_Ababa | populated place | |||
| 333737 | Jirhul | Dzhirkhil’,Dzhirkhil’,Jirhill,Jirhul | ET | Somali | 9.30056 | 42.91 | 0 | Africa/Addis_Ababa | populated place | ||
| 342843 | Balago | Balago,Belago | ET | Tigray | 12.83333 | 39.53333 | 0 | Africa/Addis_Ababa | populated place | ||
| 340990 | Ch’efē Hawiy | ET | Oromiya | 9.53333 | 38.45 | 0 | Africa/Addis_Ababa | populated place | |||
| 336359 | Glamagaran | ET | Somali | 6.52222 | 43.88361 | 0 | Africa/Addis_Ababa | populated place | |||
| 333341 | K’enina Lēt | ET | Amhara | 10.50307 | 39.06642 | 0 | Africa/Addis_Ababa | populated place | |||
| 332734 | K’orē Sulo | ET | Oromiya | 9.5 | 38.93333 | 0 | Africa/Addis_Ababa | populated place | |||
| 337898 | Fasēmbel | Fasembel,Fasemel,Fassembet,Fasēmbel,Fasēmel | ET | SNNPR | 5.84012 | 35.28264 | 0 | Africa/Addis_Ababa | populated place | ||
| 6735727 | Etifon | Etifon | ET | Āfar | 14.30934 | 39.99168 | 0 | Africa/Addis_Ababa | populated place | ||
| 332668 | Kosha | ET | SNNPR | 6.61667 | 36.78333 | 0 | Africa/Addis_Ababa | populated place | |||
| 340573 | Ciro | Chiro,Ciro | ET | SNNPR | 7.83333 | 38.23333 | 0 | Africa/Addis_Ababa | populated place | ||
| 338754 | Dobī | ET | Oromiya | 8.78333 | 38.55 | 0 | Africa/Addis_Ababa | populated place | |||
| 336681 | Ghelocar | ET | Somali | 8.48333 | 43.9 | 0 | Africa/Addis_Ababa | populated place | |||
| 340358 | Dabat | Dabat,Dabat (2),Dahat | ET | Amhara | 12.98417 | 37.765 | 11544 | Africa/Addis_Ababa | populated place | ||
| 335480 | Gura Weshī | ET | Oromiya | 9.58333 | 37.86667 | 0 | Africa/Addis_Ababa | populated place | |||
| 338219 | El Behid | ET | Somali | 5.11667 | 43.46667 | 0 | Africa/Addis_Ababa | populated place | |||
| 8392173 | Madzhok | ET | Gambela | 8.24588 | 33.99947 | 0 | Africa/Addis_Ababa | populated place | |||
| 6311036 | Diglu | ET | Somali | 5.78833 | 43.43528 | 0 | Africa/Addis_Ababa | populated place | |||
| 334213 | Indibina | ET | Amhara | 12.86667 | 37.33333 | 0 | Africa/Addis_Ababa | populated place | |||
| 326360 | Welīso | ET | Oromiya | 8.53333 | 38.1 | 0 | Africa/Addis_Ababa | populated place | |||
| 337950 | Falē | Fale,Falle,Falē | ET | Oromiya | 9.35 | 38.56667 | 0 | Africa/Addis_Ababa | populated place | ||
| 326483 | Wegīdī | Wegidi,Wegidi (2),Wegīdī,Wegīdī (2) | ET | Amhara | 8.88333 | 39.41667 | 0 | Africa/Addis_Ababa | populated place | ||
| 340584 | Chubo-Kirr | ET | Gambela | 7.88371 | 34.56829 | 0 | Africa/Addis_Ababa | populated place | |||
| 327606 | Tībīla | ET | Oromiya | 8.5 | 39.56667 | 0 | Africa/Addis_Ababa | populated place | |||
| 332688 | Koromī | ET | Oromiya | 9.71667 | 36.41667 | 0 | Africa/Addis_Ababa | populated place | |||
| 331372 | May Misham | May Misham,Zongui | ET | Tigray | 14.04357 | 39.0296 | 0 | Africa/Addis_Ababa | populated place | ||
| 329020 | Segonet | ET | Amhara | 13.2 | 38.33333 | 0 | Africa/Addis_Ababa | populated place | |||
| 343207 | Āts’agaytī | ET | Tigray | 12.95 | 39.61667 | 0 | Africa/Addis_Ababa | populated place | |||
| 338158 | Elda ar | Elda ar,Eli Dar,Elida’ar,Elidahar,Ēlīda’ār | ET | Āfar | 12.05246 | 41.92336 | 0 | Africa/Addis_Ababa | populated place | ||
| 333617 | K’amē | ET | Oromiya | 9.8 | 38.53333 | 0 | Africa/Addis_Ababa | populated place | |||
| 336023 | Gonda Libah | Gonda Libah,Gondolibah | ET | Somali | 8.30778 | 45.08111 | 0 | Africa/Addis_Ababa | populated place | ||
| 333172 | Keta | ET | Oromiya | 7 | 39.31667 | 0 | Africa/Addis_Ababa | populated place | |||
| 326896 | Umecho | Omaccio,Umecho | ET | Oromiya | 8.73333 | 40.96667 | 0 | Africa/Addis_Ababa | populated place | ||
| 332817 | Konso | Konso,Консо | ET | SNNPR | 5.25 | 37.48333 | 4593 | Africa/Addis_Ababa | populated place | ||
| 334581 | Hula | ET | Oromiya | 9.88333 | 38.16667 | 0 | Africa/Addis_Ababa | populated place | |||
| 338517 | Dugda Dēra | ET | Oromiya | 9.38333 | 38.43333 | 0 | Africa/Addis_Ababa | populated place | |||
| 8643649 | Medebay Zana | ET | 14.09762 | 38.46365 | 0 | Africa/Addis_Ababa | populated place | ||||
| 8606644 | Tulu-Goda | ET | Oromiya | 9.38346 | 39.18451 | 0 | Africa/Addis_Ababa | populated place | |||
| 342503 | Bekē | ET | Oromiya | 8.15828 | 41.13234 | 0 | Africa/Addis_Ababa | populated place | |||
| 330612 | Mint’ē | ET | Oromiya | 9.06667 | 35.65 | 0 | Africa/Addis_Ababa | populated place | |||
| 344102 | Amba Giorgis | Amba Georgis,Amba Ghiorghis,Amba Giorgis,Amba Giyorgis,Dabat,Dabat (1),Saint George,Āmba Gīyorgīs | ET | Amhara | 12.76889 | 37.62389 | 0 | Africa/Addis_Ababa | populated place | ||
| 344977 | Ādī Sak’a | Addi Saka,Adi Sak’a,Ādī Sak’a | ET | Tigray | 14.5575 | 38.25972 | 0 | Africa/Addis_Ababa | populated place | ||
| 343831 | Āngula | ET | Oromiya | 8.31667 | 39.91667 | 0 | Africa/Addis_Ababa | populated place | |||
| 338461 | Dulē | ET | Bīnshangul Gumuz | 9.85 | 35.46667 | 0 | Africa/Addis_Ababa | populated place | |||
| 341735 | Bonī | ET | Oromiya | 9.21667 | 38.2 | 0 | Africa/Addis_Ababa | populated place | |||
| 329308 | Santana | ET | Tigray | 13.82201 | 39.19637 | 0 | Africa/Addis_Ababa | populated place | |||
| 336572 | Giarso | ET | SNNPR | 5.25 | 37.53333 | 0 | Africa/Addis_Ababa | populated place | |||
| 339021 | Dihun | Dehen,Dihun,Ducun,Duhun,Dukun | ET | Somali | 7.22397 | 42.69503 | 0 | Africa/Addis_Ababa | populated place | ||
| 343262 | Āstah | Astah,Astakh,Āstah | ET | Tigray | 13.28333 | 39.23333 | 0 | Africa/Addis_Ababa | populated place | ||
| 326172 | Wetet Ābay | Piccolo Abbai,Wetet Abay,Wetet Ābay | ET | Amhara | 11.36667 | 37.03333 | 0 | Africa/Addis_Ababa | populated place | ||
| 344412 | Ākuku | ET | Oromiya | 8.8 | 34.9 | 0 | Africa/Addis_Ababa | populated place | |||
| 326129 | Wich’alē | ET | Oromiya | 8.75 | 36.28333 | 0 | Africa/Addis_Ababa | populated place | |||
| 331288 | Medero | ET | Addis Ababa | 9.08333 | 38.83333 | 0 | Africa/Addis_Ababa | populated place | |||
| 329977 | Oda Alelu | Oda Alelu,Oda Halelu,Odà Halelù | ET | Oromiya | 8.02097 | 41.1848 | 0 | Africa/Addis_Ababa | populated place | ||
| 343089 | Āwu Berē | Avu-Bere,Awu Bere,Āwu Berē | ET | Somali | 9.44306 | 43.29361 | 0 | Africa/Addis_Ababa | populated place | ||
| 343194 | Āts’mī Harmaz | Ats’mi Harmaz,Atsmi Kharmaz,Āts’mī Harmaz | ET | Tigray | 14.05825 | 38.59783 | 0 | Africa/Addis_Ababa | populated place | ||
| 345822 | Ābdela | Abagada,Abdela,Avdalla,Ābdela | ET | Oromiya | 8.36968 | 36.24669 | 0 | Africa/Addis_Ababa | populated place | ||
| 337205 | Gayī | ET | Oromiya | 8.98333 | 38.95 | 0 | Africa/Addis_Ababa | populated place | |||
| 334152 | Injibara | Engiabara,Enjabara,Enjabārā,Ingiabara,Inja Bara,Injibara | ET | Amhara | 11 | 36.91667 | 0 | Africa/Addis_Ababa | populated place | ||
| 337081 | Gedre Hader | ET | SNNPR | 8.21667 | 37.96667 | 0 | Africa/Addis_Ababa | populated place | |||
| 331813 | Maddita | Maddita,Maddittu,Maddittù | ET | Oromiya | 5.75 | 39.76667 | 0 | Africa/Addis_Ababa | populated place | ||
| 340240 | Daghi | ET | Amhara | 11.25 | 37.08333 | 0 | Africa/Addis_Ababa | populated place |
Ethiopia: Mapping the Soul of the Horn of Africa
A Geographer’s Devotion to a Layered Land
Ethiopia is not merely a country—it is a geographic epic. From the jagged peaks of the Simien Mountains to the fiery Danakil Depression, from ancient cities nestled on high plateaus to the fertile valleys that cradle the Blue Nile, Ethiopia demands a meticulous, cartographer’s eye. As a geographer, I have long been enthralled by the nation’s layered geography and its relevance to human history, culture, and development. But mapping Ethiopia is no small feat—it requires more than topography. It demands precision, administrative clarity, and robust data on the cities and settlements that punctuate its vast terrain.
The Essential Role of Administrative Divisions
Ethiopia’s federal system is built on ethnic and regional lines. The country is divided into regional states and chartered cities, each with its own administrative framework. From Oromia and Amhara to Somali and Tigray, every region hosts dozens—sometimes hundreds—of cities and towns, each contributing uniquely to the nation’s demographic mosaic.
In order to analyze Ethiopia’s spatial dynamics accurately, one must have structured access to its cities, organized not just by name but by their region and department (woreda or zone). This structure underpins any serious geographic, economic, or development-related study of the country.
Why City-Level Data Changes Everything
Understanding Ethiopia through its cities is a profound exercise. Addis Ababa may dominate headlines, but it is cities like Dire Dawa, Mekelle, Bahir Dar, and Jimma that reveal the country’s diverse economic and cultural centers. Even the smaller towns—rural, remote, but connected—are invaluable to planning agricultural logistics, healthcare outreach, and infrastructure development.
My dataset offers a granular perspective of Ethiopia’s urban framework, enabling users to explore each city within its regional context and uncover relationships often missed by surface-level mapping.
Geographic Coordinates for Uncompromising Precision
Each city entry in the database includes meticulously sourced latitude and longitude coordinates. This isn’t just for map-making—it’s critical for climate analysis, transportation modeling, telecom infrastructure, and even electoral mapping. Ethiopia’s challenging geography—from high-altitude zones to arid lowlands—makes spatial accuracy essential.
Excel: Making Data Truly Workable
One of the most significant enhancements to our data offering is the inclusion of the Excel (xlsx) format. For Ethiopian data, Excel is transformative. It empowers local researchers, NGOs, educators, and planners with intuitive sorting, filtering, and visualization capabilities.
Whether you're analyzing city growth trends across Oromia or mapping infrastructure gaps in SNNPR, Excel provides a familiar, powerful tool for transforming raw data into actionable insights. And for those who need to work offline in field environments across Ethiopia's varied terrain, Excel’s accessibility is indispensable.
Multiple Formats, Unifying One Dataset
Of course, Excel is just the gateway. We also offer our Ethiopia dataset in CSV, SQL, JSON, and XML formats—tailored for developers, data scientists, and GIS professionals. Each format preserves the full structure of the data, ensuring seamless integration across platforms and analytical tools.
The Power of Geographic Data for Ethiopia’s Future
To map Ethiopia is to engage with a country that is rewriting its narrative while remaining rooted in an ancient past. Urban expansion, environmental stress, and administrative evolution are reshaping the landscape. To track this evolution accurately, city-level data is essential—not only for scholars like myself, but for governments, organizations, and communities seeking clarity amid complexity.
By providing this data—clean, structured, and location-tagged—we open Ethiopia’s geography to a broader audience. We make it possible to see, understand, and plan with purpose.
Conclusion: A Nation Revealed Through Coordinates
In Ethiopia, every city tells a story. Every region carries a voice. And every coordinate on the map is a piece of a greater narrative. Through our refined, regionally indexed, and format-diverse dataset—especially with the new Excel version—we bring these stories into the hands of those who need them most.
From Addis Ababa’s bustling streets to the mountain-sheltered townships of Tigray, this is more than data—it’s a blueprint for understanding a nation in motion.
