Mali Cities with Latitude & Longitude â Download in Excel, CSV, SQL, JSON, XML
Last update : 23 March 2026.
Here youâll find a curated sample of 100 key cities from Mali, 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 15296 geographic locations across Mali.
Whether youâre 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 Mali is Bamako.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 6907215 | Nyazanbougou | ML | Sikasso | 12.085 | -6.0315 | 0 | Africa/Bamako | populated place | |||
| 2455691 | Kansamana | ML | Koulikoro | 12.14079 | -8.21177 | 0 | Africa/Bamako | populated place | |||
| 2594283 | Doniobougou | ML | Koulikoro | 12.75064 | -7.41617 | 0 | Africa/Bamako | populated place | |||
| 2449916 | Térédougou | Teredougou,Teredugu,Térédougou | ML | Ségou | 13.8252 | -4.1705 | 0 | Africa/Bamako | populated place | ||
| 2450980 | Saranfouga | Saranfouga,Siranvoga | ML | Koulikoro | 13.55674 | -7.16448 | 0 | Africa/Bamako | populated place | ||
| 6826700 | Galamina | ML | Sikasso | 11.36233 | -7.96377 | 0 | Africa/Bamako | populated place | |||
| 2449864 | Ti | ML | Sikasso | 12.0181 | -4.9827 | 0 | Africa/Bamako | populated place | |||
| 2453752 | Mansonkolo | ML | Kayes | 13.4069 | -10.7126 | 0 | Africa/Bamako | populated place | |||
| 2452406 | Owa | Oa,Ooua,Owa | ML | Mopti | 15.6283 | -4.1773 | 0 | Africa/Bamako | populated place | ||
| 2594324 | Kassoumabougou | ML | Koulikoro | 12.7753 | -7.2037 | 0 | Africa/Bamako | populated place | |||
| 2453621 | Massantola | MasantÉla,Massantola | ML | Koulikoro | 13.49412 | -7.80505 | 0 | Africa/Bamako | populated place | ||
| 6867171 | Madina | ML | Mopti | 14.1792 | -3.679 | 0 | Africa/Bamako | populated place | |||
| 2460373 | Bannbadinnka | ML | Kayes | 13.2923 | -10.3153 | 0 | Africa/Bamako | populated place | |||
| 2457969 | Elmaki Bentia | ML | Gao | 15.3431 | 0.7526 | 0 | Africa/Bamako | populated place | |||
| 2594027 | Sirafouka | ML | Koulikoro | 12.48473 | -7.74964 | 0 | Africa/Bamako | populated place | |||
| 2448606 | Wésébougou | Ouosseboubou-Bambara,Ouossebougou,Ouosséboubou-Bambara,Ouossébougou,Wesebougou,Wessebougou,Wéssébougou,Wésébougou | ML | Koulikoro | 14.68115 | -8.1543 | 0 | Africa/Bamako | populated place | ||
| 6262216 | Kalessouk | ML | Gao | 16.77472 | -0.74 | 0 | Africa/Bamako | populated place | |||
| 6906621 | Dangado | ML | Koulikoro | 13.78954 | -7.64124 | 0 | Africa/Bamako | populated place | |||
| 2449670 | Tilé | ML | Koulikoro | 12.88528 | -7.98362 | 0 | Africa/Bamako | populated place | |||
| 2457059 | Gomesso | ML | Mopti | 13.99111 | -2.91244 | 0 | Africa/Bamako | populated place | |||
| 6910189 | Tionta | ML | Sikasso | 11.582 | -6.74193 | 0 | Africa/Bamako | populated place | |||
| 2454976 | Kolifilo | ML | Kayes | 12.88779 | -8.75367 | 0 | Africa/Bamako | populated place | |||
| 2453759 | Mansala | ML | Kayes | 13.5433 | -10.3124 | 0 | Africa/Bamako | populated place | |||
| 2455060 | Koké | ML | Ségou | 13.63809 | -5.98325 | 0 | Africa/Bamako | populated place | |||
| 2455116 | Kodiougou | Kodiougou,Kodiougui | ML | 10.85 | -7.36667 | 0 | Africa/Bamako | populated place | |||
| 12225166 | Agana | Agana N6 | ML | Ségou | Cercle de Niono | 14.32266 | -5.95903 | 0 | Africa/Bamako | populated place | |
| 12212396 | Kala | ML | Ségou | Segou | 13.64587 | -5.35453 | 0 | Africa/Bamako | populated place | ||
| 2457605 | Farama | ML | Kayes | 14.5638 | -10.7712 | 0 | Africa/Bamako | populated place | |||
| 2453738 | Magnambougou | Magnambougou,Makandianbougou,MaÉČanbugu | ML | Koulikoro | 12.81109 | -8.20627 | 0 | Africa/Bamako | populated place | ||
| 2459794 | Bougoula | Bougoula | ML | Sikasso | 11.15101 | -7.49449 | 0 | Africa/Bamako | populated place | ||
| 6911544 | Boustissigaré Maure | ML | Kayes | 14.6534 | -9.0013 | 0 | Africa/Bamako | populated place | |||
| 8506835 | Borhorma | ML | Gao | 17.00375 | -0.8891 | 0 | Africa/Bamako | populated place | |||
| 2455150 | Koboghotoba | Koboghotoba,Koborhotoba | ML | Kayes | 13.7147 | -10.2979 | 0 | Africa/Bamako | populated place | ||
| 2454101 | Lessogou | Lessagou,Lessogou | ML | Mopti | 13.8118 | -3.6026 | 0 | Africa/Bamako | populated place | ||
| 2449072 | Tombé | Tombe,Tombé,Tonbe,Tonbé | ML | 12.71667 | -10.91667 | 0 | Africa/Bamako | populated place | |||
| 2457445 | Finadji | ML | Mopti | 14.8672 | -5.3087 | 0 | Africa/Bamako | populated place | |||
| 2453555 | Mbiabougou | ML | Mopti | 13.6984 | -4.5634 | 0 | Africa/Bamako | populated place | |||
| 6869677 | Narki | ML | Mopti | 15.36604 | -1.72611 | 0 | Africa/Bamako | populated place | |||
| 6910149 | Ntomina | ML | Sikasso | 11.1488 | -6.96529 | 0 | Africa/Bamako | populated place | |||
| 2449208 | Tiongoba | ML | Ségou | 13.98983 | -5.98231 | 0 | Africa/Bamako | populated place | |||
| 2453992 | Madina | ML | Koulikoro | 14.3986 | -7.9562 | 0 | Africa/Bamako | populated place | |||
| 6907280 | Dyoléwéré | ML | Ségou | 12.937 | -6.5625 | 0 | Africa/Bamako | populated place | |||
| 6765886 | Saré-Mabo | ML | Mopti | 14.32192 | -4.19076 | 0 | Africa/Bamako | populated place | |||
| 6880934 | Bouria-Bamangal | ML | Tombouctou | 15.68377 | -3.71405 | 0 | Africa/Bamako | populated place | |||
| 2458744 | Dioké | Dioke,Diokhe,Diokhé,Dioké | ML | Kayes | 13.4568 | -8.9279 | 0 | Africa/Bamako | populated place | ||
| 2594364 | Mpékorola | ML | Koulikoro | 12.07119 | -8.53667 | 0 | Africa/Bamako | populated place | |||
| 6906750 | FĂšndiĂšbougou | ML | Koulikoro | Koulikoro | 13.39254 | -7.64698 | 0 | Africa/Bamako | populated place | ||
| 2593999 | Fayada | ML | Koulikoro | 12.3648 | -7.6671 | 0 | Africa/Bamako | populated place | |||
| 2456881 | Gourel Samba | ML | Kayes | 14.5937 | -10.8622 | 0 | Africa/Bamako | populated place | |||
| 2460409 | Banikan | Banikan,Banikane | ML | Tombouctou | 16.04038 | -3.60039 | 0 | Africa/Bamako | populated place | ||
| 11376999 | Nioumanke Km20 | ML | Ségou | 14.2014 | -6.0097 | 0 | Africa/Bamako | populated place | |||
| 6907258 | Balanbougou | ML | Koulikoro | 12.8244 | -6.9591 | 0 | Africa/Bamako | populated place | |||
| 6893556 | Tanfadala | ML | Mopti | 14.49119 | -2.71887 | 0 | Africa/Bamako | populated place | |||
| 2455792 | Kamita | ML | 12.48333 | -9.75 | 0 | Africa/Bamako | populated place | ||||
| 2460821 | Baba-Dama | Baba-Dama,Baba-Doma | ML | Ségou | 15.146 | -5.3945 | 0 | Africa/Bamako | populated place | ||
| 2449385 | Tinkaré | ML | Kayes | 14.4891 | -9.1798 | 0 | Africa/Bamako | populated place | |||
| 6798738 | Diao | ML | Sikasso | 11.02223 | -7.12322 | 0 | Africa/Bamako | populated place | |||
| 2458809 | Dilafa | ML | Koulikoro | 14.207 | -7.9702 | 0 | Africa/Bamako | populated place | |||
| 6913132 | Liliko | ML | Kayes | 13.2247 | -10.4092 | 0 | Africa/Bamako | populated place | |||
| 2459188 | Déri | Dari,Deri,Déri | ML | Mopti | 15.4793 | -3.4002 | 0 | Africa/Bamako | populated place | ||
| 2459622 | Bouyaga | ML | Kayes | 14.5032 | -9.6478 | 0 | Africa/Bamako | populated place | |||
| 2454572 | Koudioula | ML | Kayes | 12.87492 | -11.22151 | 0 | Africa/Bamako | populated place | |||
| 6911535 | Koré | ML | Kayes | 14.8361 | -9.4666 | 0 | Africa/Bamako | populated place | |||
| 2459707 | Boumoudo | Boumoudo | ML | Koulikoro | 13.1779 | -8.3481 | 0 | Africa/Bamako | populated place | ||
| 12217920 | Sidombougou | ML | Koulikoro | Banamba Cercle | 13.98916 | -7.13996 | 0 | Africa/Bamako | populated place | ||
| 2456074 | Yirimandio | Irimandyo,YirimajÉ,Yirimandio,YirimanjÉ,YiÌrimajÉ,YiÌrimanjÉ | ML | Koulikoro | 12.608 | -7.9119 | 0 | Africa/Bamako | populated place | ||
| 2458845 | Diéssourouna | Diessourna | ML | Ségou | Segou | 13.88643 | -6.66926 | 0 | Africa/Bamako | populated place | |
| 6906730 | SĂ©bĂ©koro | Sebekoro,SebekÉrÉ,SĂ©bĂ©koro | ML | Koulikoro | 13.46853 | -7.78817 | 0 | Africa/Bamako | populated place | ||
| 2457204 | Gana | ML | Mopti | 15.20578 | -2.51654 | 0 | Africa/Bamako | populated place | |||
| 2453886 | Makono | Makono,Mamakono | ML | 12.68333 | -9.05 | 0 | Africa/Bamako | populated place | |||
| 2594207 | SyĂškilikoungo | ML | Koulikoro | 12.54641 | -7.0103 | 0 | Africa/Bamako | populated place | |||
| 11395757 | Mintinbougou | ML | Bamako | 13.972 | -8.075 | 0 | Africa/Bamako | populated place | |||
| 2452589 | Noumoumbougou | Noumoumbougou,Noumounbougou | ML | Koulikoro | 13.31015 | -7.19283 | 0 | Africa/Bamako | populated place | ||
| 2453717 | Marané | ML | Kayes | 14.3082 | -9.692 | 0 | Africa/Bamako | populated place | |||
| 2453811 | Manafodi | Manaodi | ML | Mopti | Bankass Cercle | 14.01588 | -3.56034 | 0 | Africa/Bamako | populated place | |
| 2460483 | Bandigoula | ML | 12.98333 | -9.46667 | 0 | Africa/Bamako | populated place | ||||
| 2450198 | Tanhala | ML | 10.91667 | -7.41667 | 0 | Africa/Bamako | populated place | ||||
| 12501057 | Kara | ML | Mopti | Douentza Cercle | 15.07245 | -2.92814 | 0 | Africa/Bamako | populated place | ||
| 2460033 | Bintié | ML | Mopti | 15.5699 | -4.4769 | 0 | Africa/Bamako | populated place | |||
| 2458031 | Edyoubougou | ML | Koulikoro | 14.1673 | -8.4981 | 0 | Africa/Bamako | populated place | |||
| 6912321 | Manambougou | ML | Kayes | 13.4197 | -9.0295 | 0 | Africa/Bamako | populated place | |||
| 6874939 | Lanfiéra | ML | Mopti | 13.565 | -3.7047 | 0 | Africa/Bamako | populated place | |||
| 2452578 | Nounou | ML | Tombouctou | 15.9373 | -4.1312 | 0 | Africa/Bamako | populated place | |||
| 2594636 | Nkalamandibi | ML | Koulikoro | 12.70229 | -8.23429 | 0 | Africa/Bamako | populated place | |||
| 6906514 | Béni | ML | Koulikoro | 13.18562 | -7.99217 | 0 | Africa/Bamako | populated place | |||
| 2449929 | Ténintoumanina | ML | 10.66667 | -8.11667 | 0 | Africa/Bamako | populated place | ||||
| 2450811 | Solona | ML | 11.13333 | -8.21667 | 0 | Africa/Bamako | populated place | ||||
| 2458960 | Diarani | ML | Ségou | 13.30179 | -4.48503 | 0 | Africa/Bamako | populated place | |||
| 2455109 | Kodiani | Kodialani,Kodiani,Kodyani | ML | Koulikoro | 12.795 | -7.3647 | 0 | Africa/Bamako | populated place | ||
| 2460234 | Bato | ML | 12.9 | -10.86667 | 0 | Africa/Bamako | populated place | ||||
| 2460468 | Banfara | ML | 12.23333 | -10.51667 | 0 | Africa/Bamako | populated place | ||||
| 6869613 | Oussoua | ML | Mopti | 15.01272 | -1.75047 | 0 | Africa/Bamako | populated place | |||
| 6912295 | Dougourakoro | ML | Kayes | 13.0556 | -9.257 | 0 | Africa/Bamako | populated place | |||
| 2455215 | Kitianabougou | Kitianabougou | ML | Koulikoro | 13.5468 | -8.358 | 0 | Africa/Bamako | populated place | ||
| 6798189 | Farassa | ML | Sikasso | 11.87143 | -7.31323 | 0 | Africa/Bamako | populated place | |||
| 2459627 | Boutika | ML | Koulikoro | 14.9114 | -8.0925 | 0 | Africa/Bamako | populated place | |||
| 2454471 | Koumbé | Goumbe,Goumbé,Koumbe,Koumbé | ML | Sikasso | 12.4253 | -5.51813 | 0 | Africa/Bamako | populated place | ||
| 2594271 | Binian | ML | Koulikoro | Koulikoro | 12.95483 | -7.56344 | 0 | Africa/Bamako | populated place | ||
| 2454066 | Lokana | ML | Sikasso | 12.253 | -4.6238 | 0 | Africa/Bamako | populated place | |||
| 6910626 | Pitiola | ML | Ségou | 13.002 | -6.8761 | 0 | Africa/Bamako | populated place |
Mali: Charting the Heartbeat of the Sahel
A Country Shaped by Sand, River, and Routes
Mali is not simply landâit is geography in motion. From the windswept dunes of the Sahara in the north to the irrigated banks of the Niger River in the south, this West African nation is a textbook of contrasts. But to a geographer, Mali is much more than a physical landscape. It is a spatial system, held together by regional logic, human networks, and historical depth.
To understand Mali is to recognize how its cities connect the past with the presentâhow Gao and Tombouctou still whisper trade routes into modern spatial configurations, and how regional capitals like Sikasso and Kayes anchor development, commerce, and governance in a territory that challenges every cartographer's instinct.
Yet for all this richness, structured, reliable city-level data on Mali remains elusive. That's the gap Iâve spent months addressingâby creating a detailed, carefully verified dataset that finally gives Mali the spatial clarity it deserves.
Reconstructing Maliâs Administrative Skeleton
Maliâs administrative framework is foundational for any kind of national analysis. The country is divided into regions, which are further split into cercles (departments), and finally into communes. Unfortunately, many existing datasets simplify or entirely omit this hierarchy, making planning and decision-making unnecessarily difficult.
This new dataset solves that. Each city and town in Mali is mapped according to its correct region and department, reflecting the structure used in official governance. Whether you're assessing development needs in Mopti or tracing migration flows through Koulikoro, this data is aligned with how Mali is actually organized and administered.
Coordinates as Anchors in a Shifting Landscape
In Mali, where entire regions can shift from seasonal floodplains to arid dust within months, geographic precision isnât optionalâitâs critical. Every entry in this dataset is linked to accurate latitude and longitude coordinates, enabling precise geolocation for mapping software, mobile applications, and field logistics.
This is especially vital in the Sahel, where humanitarian work, agricultural planning, and security operations depend on pinpoint accuracy. Cities and towns are not simply markersâthey are operational realities, and this dataset treats them as such.
Why Excel Makes the Data Truly Usable
Among all available formatsâCSV, SQL, JSON, XMLâit is Excel (.xlsx) that opens the most doors. I recently added Excel support because, for many professionals, it remains the most versatile and immediate tool. It bridges disciplines: policymakers use it for dashboards, researchers for sorting and filtering, NGOs for field deployment plans.
The Excel file is clean, well-structured, and intuitively organized. You can sort by region, group by department, or even build pivot tables to track urban growth or service coverage. Itâs ready to use straight out of the boxâno formatting fixes required.
What the Dataset Provides
* A complete inventory of Maliâs cities and towns
* Classification by official regions and departments
* Geolocation data (latitude and longitude) for each entry
* Exported in Excel (.xlsx), as well as CSV, SQL, JSON, and XML formats
Why Accurate Spatial Data in Mali Matters Now
Mali faces enormous challenges: climate volatility, regional instability, and development disparities. But none of these can be addressed effectively without knowing where things are. Where do people live? Which departments are underserved? How far is a health post from the nearest urban center?
These questions donât get answered by maps on walls. They get answered by dataâreal data, built with care, structured with clarity, and delivered in formats that invite use.
Beyond Maps, Toward Understanding
There is something extraordinary about mapping a country like Mali. Every city entered into this dataset felt like a moment of recoveryâa restoration of place, of relevance, of structure. Bamako may dominate the headlines, but itâs the vast constellation of smaller townsâfrom Nioro du Sahel to Koutialaâthat form the countryâs living grid.
This dataset is for them. And with Excel now leading the way, itâs never been easier to use, explore, and act upon. Because Mali doesnât need more abstractionsâit needs tools that illuminate its reality. This is one of them.
