Mali cities list with latitude and longitude in Excel, CSV, XML, SQL, JSON formats
Last update : 20 January 2026.
Below is a list of 100 prominent cities in Mali. Each row includes a city's latitude, longitude, region and other variables of interest. This is a subset of all 15296 places in Mali that you'll find in our World Cities Database. You're free to use the data below for personal or commercial applications. The data below can be downloaded in Excel (.xlsx), .csv, .json, .xml and .sql formats. Notable Cities: The capital of Mali is Bamako.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2453022 | Ndirimasséné | Ndirimasene,Ndirimassene,Ndirimasséné,Ndirimaséné | ML | 12.78333 | -7.18333 | 0 | Africa/Bamako | populated place | |||
| 2452302 | Wéla | Ouela,Ouéla,Wela,Wéla | ML | Ségou | 13.94798 | -5.64522 | 0 | Africa/Bamako | populated place | ||
| 2448512 | Yaro | Yaro,Yarou | ML | Mopti | 13.99011 | -4.08713 | 0 | Africa/Bamako | populated place | ||
| 2594372 | Kokoumbo | ML | Koulikoro | 12.09809 | -8.60847 | 0 | Africa/Bamako | populated place | |||
| 2451732 | Sanankourouni | ML | 10.6 | -7.48333 | 0 | Africa/Bamako | populated place | ||||
| 2459434 | Dalaban | ML | 10.48333 | -7.95 | 0 | Africa/Bamako | populated place | ||||
| 6867451 | Sinngo | ML | Mopti | 14.85291 | -3.98297 | 0 | Africa/Bamako | populated place | |||
| 2458189 | Doubabougou | Doubabougou,Dubabugu | ML | Koulikoro | 12.70929 | -8.16027 | 0 | Africa/Bamako | populated place | ||
| 2455181 | Kobaranto | ML | Kayes | 13.0958 | -9.776 | 0 | Africa/Bamako | populated place | |||
| 6763826 | Wake-Ousmane | ML | Mopti | 14.42119 | -4.88005 | 0 | Africa/Bamako | populated place | |||
| 2454433 | Koundian | Koudian,Koundian | ML | Kayes | 13.159 | -10.6803 | 0 | Africa/Bamako | populated place | ||
| 6910621 | Nianzana | ML | Ségou | Baroueli | 13.09516 | -6.99904 | 0 | Africa/Bamako | populated place | ||
| 2594468 | Ngolokébougou | ML | Koulikoro | 12.26789 | -8.02757 | 0 | Africa/Bamako | populated place | |||
| 2453502 | Méninia | ML | Kayes | 14.4565 | -9.2422 | 0 | Africa/Bamako | populated place | |||
| 6911550 | Sossorobougou | ML | Kayes | 14.6792 | -9.5468 | 0 | Africa/Bamako | populated place | |||
| 6764530 | Ouro-Ankona | ML | Mopti | 14.21977 | -4.48784 | 0 | Africa/Bamako | populated place | |||
| 6873934 | Péto Kobi | ML | Mopti | 14.87563 | -1.89328 | 0 | Africa/Bamako | populated place | |||
| 6826824 | Faradiélébougou | ML | Sikasso | 11.37261 | -7.65744 | 0 | Africa/Bamako | populated place | |||
| 2451410 | Sékoya | ML | 12.15 | -10.46667 | 0 | Africa/Bamako | populated place | ||||
| 6906826 | Messa | ML | Koulikoro | 13.23684 | -7.90245 | 0 | Africa/Bamako | populated place | |||
| 6907337 | Bamanantyé-Kabougou | ML | Koulikoro | 12.6153 | -6.3968 | 0 | Africa/Bamako | populated place | |||
| 2457165 | Ganyi | Gagni,Gagny,Ganyi | ML | Kayes | 14.58935 | -11.68684 | 0 | Africa/Bamako | populated place | ||
| 2448719 | Vélinngara | ML | Kayes | 14.7591 | -9.9679 | 0 | Africa/Bamako | populated place | |||
| 6867081 | Tanossougou | ML | Mopti | 14.0442 | -3.4088 | 0 | Africa/Bamako | populated place | |||
| 2451283 | Séwol | Sevel,Sewol,Séwol | ML | 15.58333 | -3.66667 | 0 | Africa/Bamako | populated place | |||
| 2460730 | Baguè | ML | Kayes | 13.2308 | -9.5423 | 0 | Africa/Bamako | populated place | |||
| 2450056 | Tchirobaria | ML | Gao | 16.95992 | -0.95918 | 0 | Africa/Bamako | populated place | |||
| 2451045 | Sirafia | Sirafia | ML | Koulikoro | 13.4548 | -8.0999 | 0 | Africa/Bamako | populated place | ||
| 2457469 | Fidélo | ML | Kayes | 13.81958 | -11.52797 | 0 | Africa/Bamako | populated place | |||
| 6907266 | Banindo | ML | Ségou | 12.8736 | -6.8408 | 0 | Africa/Bamako | populated place | |||
| 2451579 | Saré-Demba | ML | Mopti | 14.24429 | -4.29643 | 0 | Africa/Bamako | populated place | |||
| 2453078 | Naralé | ML | Kayes | 15.18518 | -11.31118 | 0 | Africa/Bamako | populated place | |||
| 2454249 | Koyéssouma | Koyesouma,Koyessouma,Koyésouma,Koyéssouma | ML | Mopti | 14.83345 | -4.50453 | 0 | Africa/Bamako | populated place | ||
| 2452552 | Ntéguédo | Ntegedo,Nteguedo,Ntéguédo,Ntégédo | ML | Koulikoro | 14.4377 | -8.0958 | 0 | Africa/Bamako | populated place | ||
| 2456929 | Goumouké | ML | Kayes | 14.8736 | -10.0052 | 0 | Africa/Bamako | populated place | |||
| 6764147 | Longuel | ML | Mopti | 14.6482 | -4.71615 | 0 | Africa/Bamako | populated place | |||
| 6910820 | Kolo | ML | Ségou | Baroueli | 13.05215 | -6.28719 | 0 | Africa/Bamako | populated place | ||
| 6912372 | Toumouni | ML | Kayes | 13.7673 | -9.0388 | 0 | Africa/Bamako | populated place | |||
| 2458912 | Diébali | ML | Kayes | 15.31567 | -9.46995 | 0 | Africa/Bamako | populated place | |||
| 2594678 | Dianéguébougou Diago | ML | Koulikoro | 12.86667 | -8.15556 | 0 | Africa/Bamako | populated place | |||
| 6893688 | San | ML | Mopti | 14.35787 | -2.11567 | 0 | Africa/Bamako | populated place | |||
| 2454637 | Koropoto | ML | Kayes | 13.76025 | -11.65074 | 0 | Africa/Bamako | populated place | |||
| 2448999 | Torobé-Ndola | ML | Mopti | 15.5017 | -5.3126 | 0 | Africa/Bamako | populated place | |||
| 2594376 | Lènguèlo | ML | Koulikoro | 12.13339 | -8.61767 | 0 | Africa/Bamako | populated place | |||
| 6875176 | Yaganébougou | ML | Sikasso | 11.24611 | -5.36096 | 0 | Africa/Bamako | populated place | |||
| 2453837 | Mamoïré | ML | Kayes | 15.05997 | -9.13236 | 0 | Africa/Bamako | populated place | |||
| 6872548 | Ouro-Koladé | ML | Mopti | 15.11808 | -2.00967 | 0 | Africa/Bamako | populated place | |||
| 2457304 | Fountou | ML | Kayes | 14.36649 | -9.71779 | 0 | Africa/Bamako | populated place | |||
| 2453411 | Modikané | ML | Kayes | 14.32293 | -11.27106 | 0 | Africa/Bamako | populated place | |||
| 2451098 | Sinndi | Senti,Sinndi | ML | 10.68333 | -6.18333 | 0 | Africa/Bamako | populated place | |||
| 2458542 | Diélibani | Dielibani,Diélibani,Djilibane,Djilibané | ML | Koulikoro | 12.20739 | -8.80427 | 0 | Africa/Bamako | populated place | ||
| 2457392 | Fogoti | ML | Koulikoro | 14.99355 | -7.60386 | 0 | Africa/Bamako | populated place | |||
| 6907215 | Nyazanbougou | ML | Sikasso | 12.085 | -6.0315 | 0 | Africa/Bamako | populated place | |||
| 2450594 | Soundiani | Soundiani,Sountiani,Sountyani | ML | Koulikoro | 12.6733 | -7.0816 | 0 | Africa/Bamako | populated place | ||
| 6880649 | Kariba | ML | Ségou | 13.4945 | -5.89272 | 0 | Africa/Bamako | populated place | |||
| 2456646 | Hassidi Barké | ML | Kayes | 14.9669 | -9.4011 | 0 | Africa/Bamako | populated place | |||
| 6869672 | Damsosso | ML | Mopti | 15.35377 | -1.70057 | 0 | Africa/Bamako | populated place | |||
| 6867127 | Gani-Lé | ML | Mopti | 14.0198 | -3.789 | 0 | Africa/Bamako | populated place | |||
| 2460049 | Bindougou | ML | Kayes | 14.7662 | -9.4251 | 0 | Africa/Bamako | populated place | |||
| 2454755 | Konobougou | Konobougou,Kɔnɔbugu | ML | Ségou | 12.91703 | -6.75788 | 0 | Africa/Bamako | populated place | ||
| 2459341 | Dan Nha | ML | Gao | 16.77972 | -0.30083 | 0 | Africa/Bamako | populated place | |||
| 2459840 | Boubou | ML | Kayes | 13.52468 | -11.44799 | 0 | Africa/Bamako | populated place | |||
| 2458656 | Dioulafoundou | ML | Kayes | 13.9621 | -10.5267 | 0 | Africa/Bamako | populated place | |||
| 2453487 | Mètanbougou | Metanbougou,Montobougou,Mètanbougou | ML | Koulikoro | 13.9759 | -8.0752 | 0 | Africa/Bamako | populated place | ||
| 6906558 | Dianiduma | ML | Koulikoro | 13.06181 | -7.74448 | 0 | Africa/Bamako | populated place | |||
| 2451923 | Saguibougou | ML | Koulikoro | Koulikoro | 13.2158 | -7.48116 | 0 | Africa/Bamako | populated place | ||
| 6875036 | Siradola | ML | Sikasso | 11.89582 | -5.45328 | 0 | Africa/Bamako | populated place | |||
| 6687458 | Nambo | ML | Mopti | 15.5069 | -4.0911 | 0 | Africa/Bamako | populated place | |||
| 2452483 | Nyambourgou | Niambougou,Nyambourgou | ML | Tombouctou | 16.53834 | -3.44903 | 0 | Africa/Bamako | populated place | ||
| 2451424 | Séko-Ratao | ML | Tombouctou | 16.0291 | -2.70428 | 0 | Africa/Bamako | populated place | |||
| 2449190 | Tiouki | ML | Mopti | 15.4706 | -4.5589 | 0 | Africa/Bamako | populated place | |||
| 6869631 | Tièmbourou | ML | Mopti | 15.1705 | -1.73146 | 0 | Africa/Bamako | populated place | |||
| 2453067 | Nassouwélé | Mossi,Nasouwele,Nasouwélé,Nassouwele,Nassouwélé | ML | Mopti | 14.17636 | -2.13515 | 0 | Africa/Bamako | populated place | ||
| 2455214 | Kitora | ML | Kayes | 13.9708 | -10.2093 | 0 | Africa/Bamako | populated place | |||
| 2459660 | Bouréko | ML | Kayes | 14.0025 | -10.4809 | 0 | Africa/Bamako | populated place | |||
| 2452614 | Nomono-Bondo | ML | Mopti | 14.1358 | -3.84519 | 0 | Africa/Bamako | populated place | |||
| 6880995 | Sassi | ML | Tombouctou | 15.6303 | -3.6174 | 0 | Africa/Bamako | populated place | |||
| 6898709 | Ngonyokora | ML | Koulikoro | 14.1686 | -7.7575 | 0 | Africa/Bamako | populated place | |||
| 2452324 | Waya | Ouahia,Ouaya,Wahia,Waya | ML | Mopti | 13.9618 | -4.4345 | 0 | Africa/Bamako | populated place | ||
| 2452482 | Niamé | Niame,Niamé,Nyame,Nyamé | ML | Koulikoro | 12.21839 | -8.39527 | 0 | Africa/Bamako | populated place | ||
| 6798172 | Siramana | ML | Sikasso | 11.86096 | -7.36094 | 0 | Africa/Bamako | populated place | |||
| 6906528 | Maraka | ML | Koulikoro | 13.04894 | -7.9727 | 0 | Africa/Bamako | populated place | |||
| 2457605 | Farama | ML | Kayes | 14.5638 | -10.7712 | 0 | Africa/Bamako | populated place | |||
| 2458846 | Diéssou | ML | Sikasso | 11.22859 | -6.48207 | 0 | Africa/Bamako | populated place | |||
| 2451186 | Siguiri | Sigiri,Siguiri | ML | Mopti | 15.14358 | -2.45189 | 0 | Africa/Bamako | populated place | ||
| 2448745 | Tyèma | Mamaribougou,Tyema,Tyepma,Tyèma,Tyépma | ML | Koulikoro | 12.39818 | -7.70593 | 0 | Africa/Bamako | populated place | ||
| 2594043 | Tyètiguibougou | ML | Koulikoro | 12.4679 | -7.9564 | 0 | Africa/Bamako | populated place | |||
| 6867223 | Saradona | ML | Mopti | 14.1402 | -3.6371 | 0 | Africa/Bamako | populated place | |||
| 6866862 | Pangasso | ML | Mopti | 14.90737 | -3.00263 | 0 | Africa/Bamako | populated place | |||
| 2449092 | Togou | Togou,Togu | ML | Ségou | 13.59202 | -5.99834 | 0 | Africa/Bamako | populated place | ||
| 2448633 | Wawourou | ML | Koulikoro | 14.82991 | -8.39136 | 0 | Africa/Bamako | populated place | |||
| 2459326 | Daoga Sorkey | ML | Gao | 15.8804 | 0.2429 | 0 | Africa/Bamako | populated place | |||
| 12200137 | Saboula | ML | Ségou | Cercle de Macina | 13.80862 | -5.77435 | 0 | Africa/Bamako | populated place | ||
| 2450949 | Sirolambé | ML | Kayes | 14.4221 | -9.5801 | 0 | Africa/Bamako | populated place | |||
| 2593879 | Kotyè | ML | Sikasso | 12.03192 | -7.28015 | 0 | Africa/Bamako | populated place | |||
| 2448618 | Wenka | Ouinka,Wenka | ML | Koulikoro | 15.30311 | -8.62155 | 0 | Africa/Bamako | populated place | ||
| 6910616 | Sié | ML | Ségou | Baroueli | 13.15676 | -6.9887 | 0 | Africa/Bamako | populated place | ||
| 2452484 | Niambali | Niambali,Niambile,Niambilé,Nyanmbali | ML | Koulikoro | 12.32659 | -8.31067 | 0 | Africa/Bamako | populated place | ||
| 2460291 | Barila | ML | 11.28333 | -8.06667 | 0 | Africa/Bamako | populated place | ||||
| 2452749 | Nianzana | ML | Ségou | 14.2301 | -5.5911 | 0 | Africa/Bamako | populated place |
**Exploring Mali: A Geographer's Perspective**
Nestled in the heart of West Africa, Mali is a land of ancient civilizations, diverse landscapes, and rich cultural heritage. For a geographer, delving into the data of Mali's cities, regions, and geographical coordinates offers a captivating journey through history, ecology, and human geography. Let us embark on this exploration to unravel the geographical tapestry of Mali.
Unraveling Urban Centers**
Mali's urban centers stand as testament to the country's vibrant cultural mosaic and historical significance. From the bustling capital city of Bamako to the ancient city of Timbuktu, each urban center bears the imprint of centuries of trade, migration, and cultural exchange. For a geographer, obtaining data on Mali's cities involves tracing the evolution of urbanization, analyzing patterns of population distribution, and understanding the economic functions of each urban hub within the national context.
Mapping Regional Diversity**
Beyond its urban centers, Mali is characterized by diverse regional landscapes, from the arid Sahelian plains in the north to the lush Niger River Basin in the south. The country is divided into administrative regions and cercles, each with its own distinct geographical features, ecological zones, and socio-economic dynamics. The quest for data extends beyond numerical coordinates, encompassing the study of regional planning, resource management, and cultural diversity across Mali's diverse regions.
Navigating Latitude and Longitude**
In the pursuit of geographical understanding, latitude and longitude serve as indispensable tools for mapping Mali's vast expanse. From the northernmost city of Kidal to the southern reaches of Sikasso, each geographical coordinate offers insights into Mali's topography, climate variations, and ecological patterns. For a geographer, acquiring accurate latitude and longitude data is essential for understanding spatial distribution, land use patterns, and environmental vulnerabilities across Mali's diverse landscape.
Exploring Human-Environment Interactions**
Mali's geography is deeply intertwined with human activities and environmental dynamics. From the ancient civilizations of the Niger River Valley to the challenges of modern-day land degradation and desertification, Mali's geography reflects a complex interplay between human societies and the natural environment. As a geographer, the quest for data extends beyond physical geography, encompassing the study of land tenure systems, agricultural practices, and climate change adaptation strategies in Mali's dynamic landscape.
Conclusion: Embracing Mali's Geography**
In the tapestry of Mali's geography, the quest for data serves as a gateway to understanding the country's rich cultural heritage, environmental diversity, and socio-economic complexities. As we unravel the geographical nuances of this diverse nation, let us not only seek coordinates on a map but also embrace the spirit of exploration, discovery, and appreciation for Mali's geography, which lies at the crossroads of Africa's past and present.

Download data files for Mali's cities in Excel (.xlsx), CSV, SQL, XML and JSON formats
Geographic Data and Regional Development in Mali
Mali, located in West Africa, is a country of immense cultural and geographic diversity, encompassing vast deserts, fertile river valleys, and mountainous regions. With its rich history and strategic position along the Niger River, Mali is at the crossroads of several important trade routes, playing a pivotal role in both regional and international affairs. Understanding the geographic layout of the country, including its cities, regions, and departments, is essential for policymakers, urban planners, and researchers to drive sustainable development, infrastructure planning, and resource management.
Geographic data—such as the exact locations of cities, their regions, and departments—provides crucial information for planning and development efforts. By obtaining this data, including latitude and longitude coordinates, in formats like CSV, SQL, JSON, and XML, stakeholders can better understand the spatial distribution of population centers, natural resources, and infrastructure, allowing for data-driven decision-making that addresses Mali’s unique development challenges.
Administrative Structure of Mali: Cities, Regions, and Departments
Mali’s administrative structure is divided into regions, which are further subdivided into departments and municipalities. The country is divided into 10 regions, including the capital city, Bamako, which is both the administrative and economic heart of Mali. Other important cities such as Ségou, Sikasso, Mopti, and Gao play vital roles in regional development, agriculture, and trade. While Bamako continues to experience rapid urbanization, many regions remain rural and underdeveloped, with their own sets of infrastructure needs and environmental challenges.
Understanding the geographic locations and relationships between these cities and regions is fundamental to ensuring that resources are allocated appropriately. For example, Bamako's growing population and urban sprawl require targeted investments in public services, transportation, and housing, while rural areas in regions like Timbuktu and Kidal need better access to water, healthcare, and roads. Geographic data provides the necessary tools to analyze population density, infrastructure distribution, and the proximity of resources, allowing for more efficient planning.
Latitude and Longitude: Mapping Mali’s Cities for Strategic Development
The precise latitude and longitude coordinates of cities, towns, and key geographical features in Mali are crucial for effective urban planning, resource distribution, and infrastructure development. Mali’s vast size—approximately 1.24 million square kilometers—coupled with its geographic diversity, means that different regions face unique challenges in terms of connectivity, climate, and access to services.
For example, Bamako, located near the Niger River in the western part of the country, is strategically positioned for trade and transportation. The coordinates of Bamako provide valuable information for optimizing transportation routes and improving trade linkages with neighboring countries. Similarly, cities like Mopti, located near the Niger River, require precise geographic data to improve connectivity through road and waterway infrastructure.
Latitude and longitude data also provides essential support for managing Mali’s resources, such as water, agriculture, and mineral wealth. By mapping key natural resources, planners can assess the best locations for agricultural projects, water conservation efforts, and industrial development, ensuring that these resources are used sustainably to benefit the entire country.
Accessible Geographic Data Formats for Planning and Analysis
To make geographic data more actionable, it is important that this data is available in formats that can be easily integrated into various systems used by planners, researchers, and government agencies. Offering geographic data in formats such as CSV, SQL, JSON, and XML ensures that stakeholders can efficiently process, analyze, and share information to guide development decisions.
- **CSV (Comma-Separated Values)** is a simple, widely-used format for organizing geographic data. In the context of Mali, this could include information on the location of cities, regions, and infrastructure, as well as population statistics. By storing this data in CSV files, urban planners and researchers can quickly analyze spatial patterns and trends in urbanization, resource distribution, and infrastructure development.
- **SQL (Structured Query Language)** is ideal for managing large, complex datasets and running spatial queries. Geographic data stored in SQL databases allows users to perform advanced analysis, such as tracking regional growth, assessing infrastructure needs, and identifying areas most in need of development. SQL makes it possible to generate detailed reports and visualizations that can guide urban planning, transportation projects, and resource allocation.
- **JSON (JavaScript Object Notation)** is commonly used in web applications and APIs for transmitting data. Geographic data in JSON format can be integrated into interactive mapping tools or mobile applications that provide real-time geographic information. For example, JSON can help developers create apps that track population growth, monitor infrastructure projects, or show live data on transportation routes, allowing residents and planners to make informed decisions.
- **XML (Extensible Markup Language)** is a versatile format used for structuring hierarchical data. In Mali, XML can be used to organize information about cities, regions, and departments, providing a clear and organized structure for geographic data. XML also ensures that data can be easily shared across different systems, making it easier for government agencies, development organizations, and researchers to collaborate and exchange information.
Urbanization and Infrastructure Development in Mali
Mali’s urbanization is accelerating, particularly in the capital city of Bamako, where rapid population growth and migration from rural areas are putting pressure on existing infrastructure. Urban planning is critical to managing this growth while ensuring that services such as housing, transportation, healthcare, and education are adequate to meet the needs of the population.
Geographic data allows planners to make informed decisions about where to build new infrastructure, such as roads, bridges, schools, and hospitals, and how to expand existing systems to accommodate growth. In Bamako, for instance, geographic data on traffic patterns, residential areas, and public services can help reduce congestion, improve mobility, and ensure that new developments are built in strategic locations.
In rural areas, geographic data can help address disparities by identifying where infrastructure projects are most needed. For example, in the regions of Mopti or Ségou, where agricultural activity is a major economic driver, geographic data can inform decisions about irrigation systems, road networks, and market access, ensuring that rural communities benefit from development as well.
Environmental Sustainability and Resource Management
Mali’s natural resources, including the Niger River, fertile agricultural land, and mineral deposits, are vital to its economy. However, rapid population growth, deforestation, and climate change pose significant risks to the sustainable use of these resources. Geographic data plays a crucial role in ensuring that Mali’s natural resources are managed efficiently and that development occurs without depleting the environment.
For instance, geographic data can be used to monitor the health of Mali’s forests, agricultural land, and water resources, helping to implement conservation strategies that protect biodiversity and prevent soil erosion. By mapping areas most at risk of desertification or water scarcity, planners can prioritize conservation efforts and develop sustainable agricultural practices that improve food security while preserving the environment.
In addition, geographic data can help track climate change impacts on key resources, such as water availability, crop production, and energy. By understanding how these resources are affected by changing weather patterns, Mali can design adaptation strategies that improve resilience in both urban and rural areas.
Disaster Risk Management and Climate Change Adaptation
Mali is increasingly vulnerable to the impacts of climate change, including droughts, floods, and extreme temperatures. Geographic data is critical for disaster risk management, helping authorities identify areas most at risk and develop strategies for mitigating these risks.
Mapping flood-prone areas along the Niger River, for example, enables the design of flood defenses, such as levees and dikes, to protect infrastructure and communities. Geographic data also helps in the development of early warning systems, allowing authorities to respond quickly to potential disasters and evacuate vulnerable populations.
In terms of climate change adaptation, geographic data can be used to identify regions most at risk from extreme heat, drought, and other climate-related changes. This allows policymakers to prioritize projects such as water conservation systems, drought-resistant agriculture, and climate-resilient infrastructure, ensuring that Mali’s population can adapt to the challenges posed by a changing climate.
Conclusion
Geographic data on Mali’s cities, regions, and natural resources—including precise latitude and longitude coordinates—is essential for effective urban planning, resource management, and environmental sustainability. By making this data available in formats such as CSV, SQL, JSON, and XML, Mali ensures that stakeholders can access the information they need to make informed, data-driven decisions. With accurate geographic data, Mali can address its urbanization challenges, protect its natural resources, and plan for the impacts of climate change, paving the way for a more sustainable and resilient future.