Mali cities list with latitude and longitude in CSV,SQL,XML,JSON formats
Last update : 10 December 2024.
This is the best list of 15296 cities in the Mali available in 4 formats ( CSV, Json, SQL, XML ). We have cleaned up the Geoname database to leave only the towns, capitals and villages. All are all associated with regions and sub-regions (where available).
Each file contains the following data: Geoname_ID, City, Alternate_Name, Country_Code, Region, Sub_region, Latitude, Longitude, Elevation, Population, Timezone, Fcode_Name. See the FAQ below for a detailed explanation.
Here is an example of the data from the Mali file that you are going to retrieve. The data is displayed here in the form of a table:
Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
---|---|---|---|---|---|---|---|---|---|---|---|
2456178 | Intarok | I-n-Tarok,In Tarok | ML | Gao | 15.77111 | 2.48226 | 0 | Africa/Bamako | populated place | ||
2452480 | Niamina | Niamina,Niaming,Nyamina,Ɲamina,Ɲámina | ML | Koulikoro | 13.3131 | -6.983 | 0 | Africa/Bamako | populated place | ||
2453662 | Markala | Marakala,Markala | ML | Ségou | Segou | 13.68427 | -6.07352 | 53738 | Africa/Bamako | populated place | |
2449426 | Tinetokan | ML | Kayes | 14.39832 | -11.29106 | 0 | Africa/Bamako | populated place | |||
2454781 | Konimébabougou | ML | Kayes | 14.35726 | -11.59114 | 0 | Africa/Bamako | populated place | |||
2458674 | Dioufoya-Farako | ML | Kayes | 13.9121 | -10.3791 | 0 | Africa/Bamako | populated place | |||
2458612 | Dité | Dire,Diré,Dite,Dité | ML | 12.08333 | -10.65 | 0 | Africa/Bamako | populated place | |||
2455311 | Khabou Kaméra | ML | Kayes | 14.72921 | -12.0913 | 0 | Africa/Bamako | populated place | |||
12212391 | N’Gabakoro-Were | ML | Ségou | Segou | 13.69516 | -5.50807 | 0 | Africa/Bamako | populated place | ||
6872564 | Youna | ML | Mopti | 15.09008 | -2.13952 | 0 | Africa/Bamako | populated place | |||
2594536 | Yamoudoula | ML | Koulikoro | 12.26679 | -8.79817 | 0 | Africa/Bamako | populated place | |||
2460941 | Arguéto | ML | 12.93333 | -9.9 | 0 | Africa/Bamako | populated place | ||||
2448964 | Ntoubana | Ntoubana,Touba | ML | Koulikoro | 12.76769 | -8.05087 | 0 | Africa/Bamako | populated place | ||
2451328 | Séredji | Seredji,Sereguy,Séredji,Séréguy | ML | Kayes | 14.7349 | -10.2982 | 0 | Africa/Bamako | populated place | ||
2594525 | Néma | ML | Koulikoro | 12.43329 | -8.68667 | 0 | Africa/Bamako | populated place | |||
2460407 | Banikani | ML | Mopti | 15.19685 | -2.80794 | 0 | Africa/Bamako | populated place | |||
2457170 | Gani-do | ML | Mopti | 14.0466 | -3.78659 | 0 | Africa/Bamako | populated place | |||
2455009 | Kolako | Kalako,Kolako | ML | 10.81667 | -8.15 | 0 | Africa/Bamako | populated place | |||
2457071 | Goléa | ML | Kayes | 12.83444 | -11.16508 | 0 | Africa/Bamako | populated place | |||
12200328 | Yere I | ML | Mopti | Bankass Cercle | 13.28604 | -3.67114 | 0 | Africa/Bamako | populated place | ||
6866932 | Yadasongo | ML | Mopti | 14.6611 | -3.1337 | 0 | Africa/Bamako | populated place | |||
2593983 | Daba | ML | Koulikoro | 12.3069 | -7.66015 | 0 | Africa/Bamako | populated place | |||
2455318 | Kessouré | ML | Kayes | 12.26202 | -11.03279 | 0 | Africa/Bamako | populated place | |||
2449023 | Togoli | Togoli,Tongoli,Toungoly | ML | Ségou | Segou | 13.57279 | -6.3415 | 0 | Africa/Bamako | populated place | |
12501049 | Pando Camp | ML | Ségou | Cercle de Niono | 14.47135 | -6.00937 | 0 | Africa/Bamako | populated place | ||
2448388 | Zana | N’Zana,N’Zana,Zana | ML | Sikasso | 11.52992 | -7.00814 | 0 | Africa/Bamako | populated place | ||
2459500 | Dadou | Dadou | ML | Koulikoro | 13.7209 | -8.2173 | 0 | Africa/Bamako | populated place | ||
6867471 | Po | ML | Mopti | 14.7946 | -3.9337 | 0 | Africa/Bamako | populated place | |||
2449488 | Tindiana | ML | 12.23333 | -9.58333 | 0 | Africa/Bamako | populated place | ||||
2451451 | Séguénéni | Segueneni,Séguénéni | ML | Sikasso | 11.76302 | -6.00086 | 0 | Africa/Bamako | populated place | ||
2451439 | Séinga | ML | Kayes | 14.7678 | -8.6754 | 0 | Africa/Bamako | populated place | |||
6876004 | Banankora | ML | Ségou | 13.1416 | -4.5684 | 0 | Africa/Bamako | populated place | |||
6866878 | Kilimmba | ML | Mopti | 14.74427 | -3.01433 | 0 | Africa/Bamako | populated place | |||
2593891 | Simina | ML | Sikasso | 12.01871 | -7.14431 | 0 | Africa/Bamako | populated place | |||
2458566 | Djigo | ML | Ségou | 13.44997 | -6.13976 | 0 | Africa/Bamako | populated place | |||
2453715 | Marania | ML | Kayes | 14.08187 | -11.19247 | 0 | Africa/Bamako | populated place | |||
2457486 | Fèrhiba | ML | Tombouctou | 16.08259 | -2.70369 | 0 | Africa/Bamako | populated place | |||
6866959 | Nahabéné | ML | Mopti | 14.3032 | -3.137 | 0 | Africa/Bamako | populated place | |||
2452552 | Ntéguédo | Ntegedo,Nteguedo,Ntéguédo,Ntégédo | ML | Koulikoro | 14.4377 | -8.0958 | 0 | Africa/Bamako | populated place | ||
2450911 | Sitassaba | ML | Kayes | 14.0948 | -9.7486 | 0 | Africa/Bamako | populated place | |||
2458935 | Diba | ML | Kayes | 13.7862 | -10.6409 | 0 | Africa/Bamako | populated place | |||
2459494 | Daféla | Dafela,Daféla | ML | 12.96667 | -9.4 | 0 | Africa/Bamako | populated place | |||
6687330 | Fétodjié | ML | Mopti | 15.1656 | -4.5079 | 0 | Africa/Bamako | populated place | |||
2450202 | Tango | Tango,Tangon | ML | Mopti | 15.4104 | -3.9285 | 0 | Africa/Bamako | populated place | ||
12225236 | Wawassi | ML | Mopti | Douentza Cercle | 15.2898 | -1.7352 | 0 | Africa/Bamako | populated place | ||
2458763 | Dinkoulou | ML | Koulikoro | 15.01853 | -7.5936 | 0 | Africa/Bamako | populated place | |||
2453132 | Nanmpéna | Nampela,Nampena,Nampéla,Nampéna,Nanmpena,Nanmpéna | ML | Sikasso | 12.2652 | -4.8196 | 0 | Africa/Bamako | populated place | ||
2455432 | Kéniandikoto | Keniandikoro,Keniandikoto,Kéniandikoro,Kéniandikoto | ML | Kayes | 12.9805 | -11.02408 | 0 | Africa/Bamako | populated place | ||
6875890 | Bouizawa | ML | Ségou | 13.6809 | -4.2705 | 0 | Africa/Bamako | populated place | |||
12200090 | Kolanka-Peulh | ML | Mopti | Bankass Cercle | 13.5492 | -3.70748 | 0 | Africa/Bamako | populated place | ||
2454726 | Konyi | Konyi,Konyini | ML | Koulikoro | 12.63676 | -7.83559 | 0 | Africa/Bamako | populated place | ||
12200076 | Makili-Were | ML | Ségou | Segou | 13.68144 | -5.6775 | 0 | Africa/Bamako | populated place | ||
2460543 | Banambilé-Bambara | Banamble,Banamblé,Bananble,Bananblé | ML | Koulikoro | Koulikoro | 13.50457 | -6.84172 | 0 | Africa/Bamako | populated place | |
2448588 | Wofurma | ML | Sikasso | 12.2369 | -4.5608 | 0 | Africa/Bamako | populated place | |||
6874918 | Diarédé | ML | Mopti | Bankass Cercle | 13.37684 | -3.80453 | 0 | Africa/Bamako | populated place | ||
2456731 | Guinigan | ML | Mopti | 13.34528 | -3.44487 | 0 | Africa/Bamako | populated place | |||
2458821 | Diguila | ML | Kayes | 13.7312 | -10.6604 | 0 | Africa/Bamako | populated place | |||
2459208 | Dempa | ML | Kayes | 14.6202 | -9.1867 | 0 | Africa/Bamako | populated place | |||
6910651 | Bayibougou | ML | Ségou | 13.16839 | -6.75664 | 0 | Africa/Bamako | populated place | |||
2461164 | Alana | ML | Kayes | 15.24774 | -9.74065 | 0 | Africa/Bamako | populated place | |||
2451135 | Simini | ML | Mopti | 13.5942 | -3.864 | 0 | Africa/Bamako | populated place | |||
2457307 | Founou | ML | Ségou | 13.87479 | -5.27769 | 0 | Africa/Bamako | populated place | |||
2594162 | Siraninkélédiè | ML | Koulikoro | 12.7353 | -7.2049 | 0 | Africa/Bamako | populated place | |||
12237931 | Tidjalalene | ML | Gao | Gao Cercle | 16.01983 | -0.31631 | 0 | Africa/Bamako | populated place | ||
2453014 | Ndobougou | ML | 13.55 | -5.88333 | 0 | Africa/Bamako | populated place | ||||
6880655 | Kolongonona | ML | Ségou | 13.50441 | -5.75629 | 0 | Africa/Bamako | populated place | |||
2457052 | Gombali | Gombali,Gonbali | ML | Kayes | 12.69448 | -11.11463 | 0 | Africa/Bamako | populated place | ||
2458501 | Dlaba | Diaba,Dlaba,Dlaban | ML | Ségou | Segou | 13.73793 | -6.34829 | 0 | Africa/Bamako | populated place | |
2455154 | Kobokoto | ML | Kayes | 14.5948 | -9.7778 | 0 | Africa/Bamako | populated place | |||
2448951 | Toubougou | Toubougou | ML | Koulikoro | 13.7579 | -8.2144 | 0 | Africa/Bamako | populated place | ||
2451090 | Sinsin | Sinnsine,Sinnsinn,Sinsin | ML | Sikasso | 11.67773 | -6.75908 | 0 | Africa/Bamako | populated place | ||
2452178 | Ourougotonko | ML | 12.71667 | -9.08333 | 0 | Africa/Bamako | populated place | ||||
2455553 | Katiéna | Kacɛna,Katiana,Katiena,Katiéna | ML | Ségou | 13.32314 | -5.64177 | 0 | Africa/Bamako | populated place | ||
2454828 | Kondoroubougou | ML | 13.45 | -11.03333 | 0 | Africa/Bamako | populated place | ||||
6861791 | Wara | ML | Sikasso | 12.1076 | -5.337 | 0 | Africa/Bamako | populated place | |||
2458413 | Dongosso | ML | Ségou | 13.40165 | -5.07597 | 0 | Africa/Bamako | populated place | |||
6866744 | Damasongo | ML | Mopti | 14.63397 | -3.17403 | 0 | Africa/Bamako | populated place | |||
2457347 | Foudenta | Foudennta,Foudenta | ML | Kayes | 12.14458 | -11.20006 | 0 | Africa/Bamako | populated place | ||
6880890 | Koyam | ML | Tombouctou | 15.962 | -3.7063 | 0 | Africa/Bamako | populated place | |||
2449965 | Téména | Temena,Téména | ML | Koulikoro | 12.2247 | -6.8617 | 0 | Africa/Bamako | populated place | ||
2594312 | Seydiola | ML | Koulikoro | 12.96251 | -7.03252 | 0 | Africa/Bamako | populated place | |||
2453227 | Moyadji Koyra | Moyadi Koira,Moyadi Koïra,Moyadji,Moyadji Koyra | ML | Tombouctou | 16.7738 | -2.30866 | 0 | Africa/Bamako | populated place | ||
6906605 | Kohina | ML | Koulikoro | 13.84497 | -7.95425 | 0 | Africa/Bamako | populated place | |||
2448804 | Touroumbiri | ML | Kayes | 14.1484 | -10.2432 | 0 | Africa/Bamako | populated place | |||
6881073 | Onto | ML | Mopti | 15.0486 | -3.4776 | 0 | Africa/Bamako | populated place | |||
6910909 | Soungobougou | ML | Ségou | 13.385 | -6.0975 | 0 | Africa/Bamako | populated place | |||
2457768 | Famessasso | Famekasso,Famessasso,Famessassou,Famékasso,Faniekasso | ML | Sikasso | 12.4611 | -5.31213 | 0 | Africa/Bamako | populated place | ||
2594111 | Farako | ML | Koulikoro | 12.54597 | -7.32527 | 0 | Africa/Bamako | populated place | |||
6866764 | Bana-Kané | ML | Mopti | 14.67857 | -3.17893 | 0 | Africa/Bamako | populated place | |||
12225253 | Sokindian | Sokidani | ML | Koulikoro | Koulikoro | 13.1265 | -7.70659 | 0 | Africa/Bamako | populated place | |
2460613 | Bali | ML | Koulikoro | 12.24499 | -8.24997 | 0 | Africa/Bamako | populated place | |||
6866794 | Dangadié | ML | Mopti | 14.83737 | -3.15293 | 0 | Africa/Bamako | populated place | |||
2454597 | Kou | Kou,Koun,Natona | ML | Ségou | 13.3774 | -4.6008 | 0 | Africa/Bamako | populated place | ||
12200284 | Anda Toguele | ML | Mopti | Bankass Cercle | 13.40701 | -3.74531 | 0 | Africa/Bamako | populated place | ||
2451822 | Samantoutou | ML | Kayes | 13.0492 | -10.4346 | 0 | Africa/Bamako | populated place | |||
2461320 | Adyanabangou | ML | Tombouctou | 16.06919 | -3.88421 | 0 | Africa/Bamako | populated place | |||
2452886 | Ngolasso | ML | Sikasso | 11.74273 | -5.89221 | 0 | Africa/Bamako | populated place | |||
12217597 | Diawere | ML | Ségou | Segou | 13.90662 | -6.20559 | 0 | Africa/Bamako | populated place | ||
2451922 | Sa | Sa,Sah | ML | Mopti | 15.6259 | -4.0488 | 0 | Africa/Bamako | populated place | ||
2448770 | Tyapato | ML | Koulikoro | 15.17105 | -7.78339 | 0 | Africa/Bamako | populated place |
Mali: A Geographical Overview of a Landlocked Nation
A Vast and Diverse Landscape
Mali, a landlocked country in West Africa, spans a vast area of 1.24 million square kilometers, making it one of the largest countries on the African continent. From the Saharan deserts in the north to the fertile plains of the Niger River in the south, Mali is a country of dramatic contrasts. Its geography plays a crucial role in shaping the culture, economy, and settlement patterns that define this nation.
Mali's geography is not just a backdrop for its history; it has been the driving force behind much of the country’s development. With a climate that varies from arid desert in the north to tropical in the south, the country’s regions are impacted by both the harshness of the Saharan environment and the richness of the Niger River basin. This diverse geography makes Mali a fascinating country to study for geographers and those interested in the complexities of human adaptation to diverse environments.
A comprehensive understanding of Mali’s geography, however, goes beyond its natural landscapes and includes its cities, regions, and departments. The distribution of settlements across these regions, influenced by both environmental and historical factors, shapes the way the country functions today. Access to detailed data on the locations of these cities, as well as their precise coordinates, is crucial for anyone seeking a deeper understanding of Mali’s geography.
The Urban and Regional Structure of Mali
Mali's urban areas are concentrated primarily in the southern part of the country, with the capital city Bamako acting as the central hub of political, economic, and cultural life. Located on the banks of the Niger River, Bamako is Mali’s largest city and plays a vital role in the country’s infrastructure and governance. However, the country is not limited to this one urban center. Other cities such as Sikasso, Timbuktu, and Gao also contribute to Mali’s diverse regional makeup.
Mali is divided into eight administrative regions, each with its own cities and departments. These regions include Kayes, Koulikoro, Sikasso, Ségou, Mopti, Tombouctou, Gao, and Kidal. Each region has its own unique geographical characteristics, which affect the local economy, climate, and population density. The southern regions, with their proximity to the Niger River, are more fertile and have a higher population, while the northern regions are sparsely populated and characterized by desert landscapes.
For those interested in the finer details of Mali’s geographical organization, accessing data on the names and locations of cities, regions, and departments is essential. This data provides insight into how Mali’s settlements are distributed across its vast land area, allowing researchers to study regional differences in terms of development, infrastructure, and resource allocation.
Latitude and Longitude: Unlocking Precision
To truly understand the geography of Mali, it is important to consider the exact locations of its cities and regions. Latitude and longitude provide a precise way to pinpoint any location on the globe, and for a country as vast and diverse as Mali, these coordinates are invaluable. By obtaining the latitude and longitude of key cities, researchers can analyze the spatial relationships between different urban and rural areas, uncovering patterns of development, climate variation, and trade routes.
For example, knowing the coordinates of cities like Timbuktu—an ancient center of trade and culture—or Bamako—Mali’s political and commercial center—enables a more detailed analysis of how geography has influenced the growth and function of these cities. Latitude and longitude data can also reveal how transportation networks have developed in relation to the country’s geography, with routes connecting urban centers along the Niger River and extending into the Sahel and Sahara.
Furthermore, understanding the coordinates of each city and department can assist in monitoring climate change impacts, such as shifts in agricultural zones or the movement of desertification in the north. This data is also vital for logistical planning, disaster response, and infrastructure development.
Mali’s Geographical Challenges and Opportunities
Mali’s geography presents both challenges and opportunities for the country’s development. The country’s large area, combined with its uneven distribution of resources, requires careful planning and management of both human and natural resources. The southern regions, rich in agricultural potential due to the Niger River, contrast with the northern desert areas that face issues like water scarcity, limited arable land, and environmental degradation.
By obtaining detailed geographical data on Mali’s cities, regions, and departments, planners and policymakers can better address these challenges. For instance, knowing the exact locations of cities and their respective coordinates can help identify areas that are most vulnerable to climate change, allowing for targeted interventions. Additionally, geographic data can support efforts to improve infrastructure, such as road networks, water supply systems, and energy resources, ensuring that these services reach even the most remote regions of the country.
The distribution of population and resources also affects Mali’s economic activity. While the south is more developed, the north remains underdeveloped and sparsely populated. By mapping the geographic coordinates of key cities, regions, and infrastructure hubs, Mali can create more effective strategies to reduce regional disparities and encourage balanced development across the country.
The Power of Geographic Data for Understanding Mali
Access to geographic data is essential for anyone seeking to understand Mali’s diverse and complex geography. By obtaining data on the cities, regions, and departments of the country, as well as the latitude and longitude of these locations, it is possible to gain a deeper understanding of how the environment shapes human settlement patterns and development strategies.
This geographic data can help inform decisions about resource management, urban planning, and disaster preparedness. For example, knowing the exact location of Mali’s cities and regions can assist in the efficient allocation of resources, from food and water to healthcare and education services. It can also support research into environmental changes, such as desertification, and help guide conservation efforts to protect Mali’s unique ecosystems.
Ultimately, obtaining detailed geographic data on Mali is crucial for unlocking the full potential of the country’s vast land area. This information offers a wealth of insights that can guide policymakers, researchers, and development professionals in their efforts to create sustainable and equitable solutions for Mali’s future.
FaQ about Mali
- Geoname_ID: This is a unique identifier for each place or geographical name in the Geoname database.
- City: The name of the place, which can be a town, village or any other form of human settlement.
- Alternate_Name: Other names or appellations that the place may have. These alternative names may be in different languages, dialects or even local names.
- Country_Code: This is the ISO 3166-1 alpha-2 code for the country in which the place is located. For example, "US" for the United States, "FR" for France.
- Region: This represents the first-order administrative division in which the location is situated. For example, this could be a state, province or territory.
- Sub_region: This is a second-order administrative division, such as a county or district, within the region.
- Latitude: The geographical latitude of the location, usually in decimal degrees.
- Longitude: The geographical longitude of the location, also usually in decimal degrees.
- Elevation: The elevation or altitude of the location in relation to sea level, usually measured in metres.
- Population: The estimated number of inhabitants or population of the location.
- Timezone: The time zone in which the location is located, in accordance with global time zone standards.
- Fcode_Name: This is a code that categorises the type of location. For example, "PPL" could mean a populated place, while "PPLC" could be the capital of a political entity.