Niger cities list with latitude and longitude in CSV, XML, SQL, JSON format
Last update : 13 December 2024.
Below is a list of 100 prominent cities in Niger. Each row includes a city's latitude, longitude, region and other variables of interest. This is a subset of all 12970 places in Niger 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 .csv, .json, .xml and .sql formats. Notable Cities: The capital of Niger is Niamey.
Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
---|---|---|---|---|---|---|---|---|---|---|---|
6807078 | Angoal Manda Baban | NE | Zinder | 13.1123 | 9.3038 | 0 | Africa/Niamey | populated place | |||
2437759 | Zoumari Kwara | Zoumari Kwara,Zoumari-Koara | NE | Dosso | 12.23504 | 3.39169 | 0 | Africa/Niamey | populated place | ||
2439734 | Siankoré Bambara | Siankole,Siankolé,Siankore Bambara,Siankoré Bambara | NE | Tillabéri | 12.86649 | 1.87663 | 0 | Africa/Niamey | populated place | ||
2438971 | Tchintchia | NE | Maradi | 14.32804 | 6.72086 | 0 | Africa/Niamey | populated place | |||
6806776 | Tchiromari | NE | Zinder | 13.88053 | 9.44622 | 0 | Africa/Niamey | populated place | |||
6806766 | Baga | NE | Zinder | 13.8511 | 9.73755 | 0 | Africa/Niamey | populated place | |||
6847952 | Foguidi | NE | Zinder | 14.4786 | 10.4703 | 0 | Africa/Niamey | populated place | |||
2447774 | Amourzouk | NE | Zinder | 14.71055 | 8.84642 | 0 | Africa/Niamey | populated place | |||
2447017 | Bardouga | Bardouga,Barduga | NE | Tillabéri | 14.34734 | 2.03594 | 0 | Africa/Niamey | populated place | ||
2438870 | Tenda | Tanda,Tenda | NE | Dosso | 11.98848 | 3.31556 | 0 | Africa/Niamey | populated place | ||
12500652 | Agabargabar | NE | Agadez | Ingall | 15.97567 | 6.99097 | 0 | Africa/Niamey | populated place | ||
2446515 | Bouné-Bouné | NE | Dosso | 11.81606 | 3.55979 | 0 | Africa/Niamey | populated place | |||
2446645 | Boni Peul | NE | Tillabéri | 14.728 | 1.15723 | 0 | Africa/Niamey | populated place | |||
2441146 | Maye-Erama | NE | Dosso | 13.2629 | 3.8291 | 0 | Africa/Niamey | populated place | |||
2439315 | Takélmawa | NE | Zinder | 14.0374 | 8.55297 | 0 | Africa/Niamey | populated place | |||
6819392 | Faya Gabia | NE | Diffa | 13.2759 | 11.7784 | 0 | Africa/Niamey | populated place | |||
2440426 | Niarniandé | Niarniande,Niarniandé,Nyarnyande,Nyarnyandé | NE | Dosso | 12.82083 | 2.96626 | 0 | Africa/Niamey | populated place | ||
6804105 | Tadénawa | NE | Zinder | 14.616 | 9.0109 | 0 | Africa/Niamey | populated place | |||
2437732 | Birni N Konni | Birni N Konni,Birni n’Kenni,Birni n’Kenni,Birni-Koni,Birnin Koni,Birnin Konni,Birnin-Konni,Konni,Бирнин-Конни | NE | Tahoua | 13.79599 | 5.25026 | 48103 | Africa/Niamey | populated place | ||
2441815 | Koyria Gourma | Koirya-Gourma,Koyria Gourma | NE | Tillabéri | 13.74067 | 1.68134 | 0 | Africa/Niamey | populated place | ||
2443904 | Guidan Darmou | NE | Tahoua | 14.45 | 6.4 | 0 | Africa/Niamey | populated place | |||
2440475 | Niki-Béri | Niki-Beri,Niki-Béri,Nikki | NE | Dosso | 13.18628 | 3.36251 | 0 | Africa/Niamey | populated place | ||
6804151 | Airi | NE | Zinder | 14.721 | 9.0082 | 0 | Africa/Niamey | populated place | |||
2443846 | Guilmago | Gilmago,Guidam Guilmago,Guidam Guimalgo,Guidan Guilmago,Guilmago | NE | Maradi | 14.26699 | 7.45457 | 0 | Africa/Niamey | populated place | ||
2439044 | Taya Belle | Taya,Taya Belle | NE | Tillabéri | 13.6008 | 2.9438 | 0 | Africa/Niamey | populated place | ||
2444711 | Garbèy | NE | Tillabéri | 14.85224 | 2.67709 | 0 | Africa/Niamey | populated place | |||
2445960 | Dan Saali | NE | Zinder | 14.69783 | 7.61727 | 0 | Africa/Niamey | populated place | |||
6858441 | Ngounga Peul | NE | Dosso | 13.1727 | 2.832 | 0 | Africa/Niamey | populated place | |||
2446761 | Birni Kobéri | NE | Tillabéri | 13.6798 | 2.4848 | 0 | Africa/Niamey | populated place | |||
2444353 | Gorou Bankassame | Gorou Bakasame,Gorou Bakasamé,Gorou Bankassame | NE | Dosso | 13.10444 | 3.46556 | 0 | Africa/Niamey | populated place | ||
2443863 | Guidan Gara | NE | Tahoua | 13.81835 | 6.24745 | 0 | Africa/Niamey | populated place | |||
2438571 | Tiou Dawa | Tiou Dawa,Todaoua | NE | Tillabéri | 13.35773 | 2.50426 | 0 | Africa/Niamey | populated place | ||
6750180 | Arifouram | NE | Zinder | 13.88012 | 10.31217 | 0 | Africa/Niamey | populated place | |||
2440992 | Mazoza | NE | Zinder | 13.69336 | 8.87017 | 0 | Africa/Niamey | populated place | |||
6806983 | May Ragaya | NE | Zinder | 13.31207 | 9.12332 | 0 | Africa/Niamey | populated place | |||
2441764 | Hondou Béri-Zarma Gandé | Hondou Beri-Zarma Gande,Hondou Béri-Zarma Gandé,Kouontiel,Kouontyel,Kwontyel | NE | Tillabéri | 13.81913 | 1.96915 | 0 | Africa/Niamey | populated place | ||
6719285 | Mougou Jaki | NE | Maradi | 13.43863 | 7.09572 | 0 | Africa/Niamey | populated place | |||
6777940 | Boukar-Boutouri | NE | Diffa | 13.23453 | 12.56094 | 0 | Africa/Niamey | populated place | |||
2445467 | Doula | NE | Dosso | 13.4276 | 3.898 | 0 | Africa/Niamey | populated place | |||
6806943 | Bouroum | NE | Zinder | 13.53529 | 9.04485 | 0 | Africa/Niamey | populated place | |||
6733831 | Maramou Haoussa | NE | Zinder | 13.36373 | 8.42595 | 0 | Africa/Niamey | populated place | |||
2446096 | Dan Gao | NE | Maradi | 14.41978 | 7.26022 | 0 | Africa/Niamey | populated place | |||
6711091 | Guidan Doki | NE | Maradi | 13.53368 | 7.22738 | 0 | Africa/Niamey | populated place | |||
2442874 | Kafin Chantali | Kafin Chantali,Kafin Chanteli | NE | Maradi | 13.42987 | 7.44585 | 0 | Africa/Niamey | populated place | ||
2442380 | Koagoni | NE | Maradi | 14.31494 | 7.34845 | 0 | Africa/Niamey | populated place | |||
2444845 | Gaja | NE | Maradi | 13.59117 | 6.50689 | 0 | Africa/Niamey | populated place | |||
2447696 | Angoal Kourna | NE | Zinder | 14.7179 | 8.3906 | 0 | Africa/Niamey | populated place | |||
2443812 | Guidan Jigo | Gidan Jigo,Guidan Jigo | NE | Maradi | 13.61933 | 7.52665 | 0 | Africa/Niamey | populated place | ||
6679323 | Kélénté | NE | Tahoua | 14.3235 | 5.8072 | 0 | Africa/Niamey | populated place | |||
2438995 | Tchigada | NE | Zinder | 14.43857 | 8.26032 | 0 | Africa/Niamey | populated place | |||
2441036 | Maysanbalarabé | Maysambalarabe,Maysambalarabé,Maysanbalarabe,Maysanbalarabé | NE | Maradi | 14.0979 | 8.2832 | 0 | Africa/Niamey | populated place | ||
6745876 | Mad’âtchi | NE | Zinder | 13.17801 | 8.92688 | 0 | Africa/Niamey | populated place | |||
2446791 | Bingaro Godié | NE | Tillabéri | 12.89461 | 2.0338 | 0 | Africa/Niamey | populated place | |||
2446599 | Boubou | NE | Maradi | 14.0239 | 8.24577 | 0 | Africa/Niamey | populated place | |||
6848339 | Dembaoua | NE | Zinder | 14.0579 | 10.6448 | 0 | Africa/Niamey | populated place | |||
6847901 | Magajé | NE | Zinder | 14.4362 | 10.0377 | 0 | Africa/Niamey | populated place | |||
2447151 | Bangoufada-Rouzou | NE | Dosso | 13.2866 | 3.559 | 0 | Africa/Niamey | populated place | |||
6783453 | Bankali | NE | Tillabéri | 14.53056 | 4.03908 | 0 | Africa/Niamey | populated place | |||
2443866 | Guidan Galadima | NE | Maradi | 14.30356 | 7.43253 | 0 | Africa/Niamey | populated place | |||
6819717 | Ari Boundéram | NE | Diffa | 13.7117 | 11.6252 | 0 | Africa/Niamey | populated place | |||
2441157 | Maydawa | NE | Maradi | 14.35829 | 7.1183 | 0 | Africa/Niamey | populated place | |||
6807105 | Saréta | NE | Zinder | 13.0711 | 9.0252 | 0 | Africa/Niamey | populated place | |||
6736522 | Zangounan Ichirnawa | NE | Zinder | 13.50346 | 8.5483 | 0 | Africa/Niamey | populated place | |||
6806721 | Dan Bao | NE | Zinder | 13.2512 | 9.1939 | 0 | Africa/Niamey | populated place | |||
2440830 | Moussou Koira | Moussou Koira,Moussou Koyra | NE | Tillabéri | 14.61464 | 1.81981 | 0 | Africa/Niamey | populated place | ||
2445540 | Dogon Tapkin | Dogon Tabki,Dogon Tapki,Dogon Tapkin | NE | Dosso | 13.76229 | 4.57288 | 0 | Africa/Niamey | populated place | ||
2444549 | Garin Sérkin Baka | NE | Zinder | 14.23202 | 8.9889 | 0 | Africa/Niamey | populated place | |||
6698783 | Kabalam | Chilla,Kabalam | NE | Diffa | 13.93781 | 13.34545 | 0 | Africa/Niamey | populated place | ||
11239147 | Kobodey Tessa | NE | Dosso | 12.84 | 3.46 | 0 | Africa/Niamey | populated place | |||
2444013 | Guidan Bahago | NE | Maradi | 14.13845 | 7.30077 | 0 | Africa/Niamey | populated place | |||
7027067 | Jékadamanda | NE | Zinder | 12.96247 | 9.38315 | 0 | Africa/Niamey | populated place | |||
11239139 | Malaba Katchinawa | NE | Maradi | 13.75 | 7.11 | 0 | Africa/Niamey | populated place | |||
2440219 | Ouyé | NE | Tillabéri | 15.0161 | 2.7676 | 0 | Africa/Niamey | populated place | |||
6745070 | Danana Bougajé | NE | Zinder | 13.2699 | 8.54767 | 0 | Africa/Niamey | populated place | |||
6776919 | Garaw | NE | Diffa | 13.64463 | 12.95184 | 0 | Africa/Niamey | populated place | |||
2440892 | Monataré | NE | Maradi | 14.38916 | 7.6061 | 0 | Africa/Niamey | populated place | |||
7027143 | Lalatakori | Lalatakori,Latankari | NE | Zinder | 12.83116 | 9.48257 | 0 | Africa/Niamey | populated place | ||
6849584 | Adélék Gogo | NE | Maradi | 14.52045 | 6.68601 | 0 | Africa/Niamey | populated place | |||
6726698 | Goubaou | Goubaou | NE | Maradi | 13.4099 | 8.08337 | 0 | Africa/Niamey | populated place | ||
6849450 | Guidan Ousmana | NE | Tahoua | 14.77988 | 6.16411 | 0 | Africa/Niamey | populated place | |||
6848301 | Gorohidié | NE | Zinder | 14.0575 | 10.0245 | 0 | Africa/Niamey | populated place | |||
6750453 | Abaganari | NE | Diffa | 13.73709 | 10.87243 | 0 | Africa/Niamey | populated place | |||
6731560 | Rigal Madamouna | NE | Zinder | 13.0959 | 8.48388 | 0 | Africa/Niamey | populated place | |||
6803961 | Gadébé | NE | Zinder | 14.4032 | 9.5171 | 0 | Africa/Niamey | populated place | |||
6711101 | Batchaka | NE | Maradi | 13.75649 | 7.36107 | 0 | Africa/Niamey | populated place | |||
2446596 | Boubourey Fandou | Bouboure Fandou,Boubourey Fandou,Boubouré Fandou | NE | Tillabéri | 13.8962 | 2.14 | 0 | Africa/Niamey | populated place | ||
2444723 | Garanga | NE | Dosso | 13.7651 | 3.9473 | 0 | Africa/Niamey | populated place | |||
6783272 | Gamaram | NE | Diffa | 13.57445 | 11.34815 | 0 | Africa/Niamey | populated place | |||
6806212 | Gara Gata | NE | Zinder | 15.10248 | 9.08908 | 0 | Africa/Niamey | populated place | |||
2444016 | Guidan Bagay | Gidan Bagay,Guidan Bagay | NE | Zinder | 14.6238 | 8.0634 | 0 | Africa/Niamey | populated place | ||
6858582 | Téguieft | NE | Tillabéri | 13.7503 | 2.9092 | 0 | Africa/Niamey | populated place | |||
6850055 | Lakot | NE | Tahoua | 14.09763 | 6.07043 | 0 | Africa/Niamey | populated place | |||
2443697 | Guidan Manzo | NE | Maradi | 14.00266 | 8.39084 | 0 | Africa/Niamey | populated place | |||
6750330 | Malam Mamandi | NE | Zinder | 13.90827 | 10.69692 | 0 | Africa/Niamey | populated place | |||
2441261 | Magargari | Magargari,Margargari | NE | Maradi | 13.74799 | 7.80354 | 0 | Africa/Niamey | populated place | ||
6849563 | Guidan Ataba | NE | Tahoua | 14.66123 | 6.3678 | 0 | Africa/Niamey | populated place | |||
6803904 | Gongoboul | NE | Zinder | 14.3246 | 9.6542 | 0 | Africa/Niamey | populated place | |||
2438357 | Toudouni | NE | Tillabéri | 14.6428 | 3.572 | 0 | Africa/Niamey | populated place | |||
2445708 | Diéré-Koara | Diere Kwara,Diere-Koara,Diéré Kwara,Diéré-Koara | NE | Dosso | 13.0429 | 3.5497 | 0 | Africa/Niamey | populated place | ||
2444769 | Gangara | NE | Dosso | 12.85706 | 3.49088 | 0 | Africa/Niamey | populated place |
**Exploring the Dynamic Geography of Niger: Insights from a Geographer**
Niger, a landlocked country in West Africa, is a mosaic of diverse landscapes, cultures, and traditions. As a geographer embarks on an exploration of this vast and dynamic nation, the quest for data regarding its cities, regions, and geographical coordinates unveils a captivating journey through geography, history, and human dynamics.
Unveiling Urban Centers**
Niger's urban landscape is shaped by a mix of ancient cities and modern metropolises. From the historic city of Niamey, the capital and largest city, to the bustling commercial hub of Zinder, each urban center offers a unique glimpse into the country's economic, cultural, and political life. For a geographer, obtaining comprehensive data on Niger's cities, including their regions and departments, is akin to unraveling the layers of urbanization and spatial organization in this diverse and rapidly growing country.
Mapping the Regions and Departments**
Niger is divided into regions and departments, each with its own distinct characteristics and administrative functions. From the arid plains of Agadez Region, where nomadic herding is predominant, to the fertile lands of Maradi Region, known for its agricultural productivity, each region boasts its own unique features and cultural traditions. The quest for data extends beyond numerical coordinates, delving into the nuances of local governance, economic development, and social dynamics across Niger's administrative landscape.
Navigating Latitude and Longitude**
In the pursuit of geographical understanding, latitude and longitude serve as essential tools for mapping Niger's cities and landmarks. From the northernmost city of Dirkou, near the Sahara Desert, to the southernmost city of Birni-N'Konni, near the border with Nigeria, each geographical coordinate offers insights into the country's diverse topography, climate, and natural resources. For a geographer, acquiring accurate latitude and longitude data is crucial for understanding the spatial distribution of population, economic activities, and infrastructure within Niger.
Exploring Environmental Diversity**
Beyond the urban centers and administrative boundaries, Niger's landscape is a mosaic of diverse ecosystems, from the Sahara Desert in the north to the Sahel region in the south. The country's biodiversity and natural resources support a variety of industries and livelihoods, from agriculture and livestock farming to mining and energy production. As a geographer, the quest for data extends beyond human settlements, encompassing the intricate web of ecological processes, land use patterns, and environmental conservation efforts that shape Niger's landscape.
Conclusion: Embracing Niger's Geographical Riches**
In the tapestry of Niger's geography, the quest for data serves as a compass, guiding geographers through a landscape shaped by millennia of geological processes and human adaptation. From the urban centers to the remote villages, each location holds a piece of the puzzle, waiting to be discovered and understood. As we unravel Niger's geographical riches, let us not only seek coordinates on a map but also embrace the rich tapestry of culture, history, and natural beauty that define this vibrant and dynamic nation in West Africa.
Download data files for Niger's cities in CSV, SQL, XML and JSON formats
Exploring the Geography of Niger: A Data-Driven Perspective
Niger, located in West Africa, is a landlocked country that spans a diverse array of geographic landscapes. From its vast deserts to its fertile agricultural plains, Niger’s geography plays a significant role in shaping the lives of its people and its economy. As a geographer, understanding the spatial distribution of Niger's cities, regions, and departments is essential for addressing challenges related to urban growth, infrastructure development, resource management, and environmental conservation. The availability of accurate geographic data for the country is vital for these analyses and for informed decision-making that supports sustainable development.
The Geographical and Administrative Divisions of Niger
Niger is divided into eight administrative regions, each with its own unique geographic features and population distribution. These regions include the capital city, Niamey, located in the southwestern part of the country, as well as regions like Zinder, Maradi, and Agadez, which vary in terms of landscape and economic activities. The southern regions are primarily known for agriculture, while the northern regions, including the vast expanses of the Sahara Desert, are more sparsely populated.
Niger’s geography is heavily influenced by the Niger River, which flows through the southwestern part of the country, and the Sahel region that forms the semi-arid belt between the Sahara and the savannas. These natural features are critical for understanding population dynamics, resource allocation, and regional development. Mapping the cities, regions, and departments of Niger helps uncover how human settlements are distributed across this diverse geography and how these areas are connected by roads, rivers, and trade routes.
Latitude and Longitude: Pinpointing the Cities of Niger
Latitude and longitude coordinates are fundamental for mapping and understanding the exact locations of cities and towns across Niger. These coordinates provide precise data on the geographic position of key urban areas such as Niamey, Zinder, and Agadez, allowing geographers to study their relationship with the surrounding environments and other urban centers.
Having accurate latitude and longitude coordinates allows for spatial analysis that can help assess urban expansion, transportation networks, and the distribution of resources. For example, the coordinates of Niamey, the capital city, can be used to analyze its proximity to the Niger River and its position relative to other key cities. Similarly, cities located in the more remote northern regions, such as Agadez, can be studied in terms of their geographic isolation and how this impacts infrastructure development and access to resources.
Understanding the geographic layout of Niger’s cities and regions also enables more effective planning for future urbanization, infrastructure development, and environmental protection. Precise coordinates allow for the creation of detailed maps, which are crucial for disaster management, transportation planning, and environmental sustainability.
Flexible Geographic Data Formats for Analysis
For researchers, urban planners, and policymakers to effectively use geographic data, it is important to have access to data in a variety of formats. By providing geographic data on Niger’s cities, regions, and departments in formats like CSV, SQL, JSON, and XML, it becomes easier to integrate the data into different tools and analysis systems.
- **CSV (Comma-Separated Values):** CSV files offer a simple and widely accepted format for organizing geographic data. By storing city names, populations, and geographic coordinates in CSV files, researchers can easily manipulate and visualize the data. This format is ideal for quick access and simple analysis, particularly for users who need to work with tabular data or import it into other software applications.
- **SQL (Structured Query Language):** SQL is essential for working with larger datasets stored in relational databases. This format allows users to run complex queries on geographic data, helping to uncover patterns or trends that may not be immediately apparent from raw data alone. SQL can be used to track urban growth, assess the relationship between population density and resource distribution, or analyze regional disparities across Niger.
- **JSON (JavaScript Object Notation):** JSON is a lightweight, flexible format commonly used for web-based applications. It is ideal for developers who need to build interactive mapping tools or real-time location-based services. JSON allows geographic data to be transmitted and updated quickly, making it an excellent choice for applications that require dynamic, real-time geographic information on Niger’s cities and regions.
- **XML (Extensible Markup Language):** XML is highly versatile and ideal for structuring complex geographic datasets. It is useful for sharing hierarchical data and can be integrated with GIS platforms, environmental monitoring systems, or government databases. XML ensures that geographic data can be exchanged and used across different systems without loss of structure or meaning.
The ability to access geographic data in these various formats ensures that users can tailor their work to their specific needs, whether it’s for conducting basic spatial analysis, developing complex models, or building interactive tools for public use.
A Comprehensive Database for Niger's Geography
To fully understand the geography of Niger and its cities, regions, and departments, a comprehensive database is essential. This database should include not only the cities’ locations and populations but also data on their infrastructure, resources, and regional characteristics. The inclusion of latitude and longitude coordinates is critical for any geographic research or urban planning project.
For example, by comparing data from Niamey, a major urban center, with more rural cities like Tahoua or Diffa, researchers can assess the impact of geography on regional development, infrastructure needs, and population distribution. The data can also be used to study how natural resources such as water and fertile land are distributed across different regions and how these resources influence economic activity.
By making this data available in multiple formats—CSV, SQL, JSON, and XML—this database ensures that it can be integrated into various research and planning tools. Whether it’s for analyzing environmental challenges, developing transportation networks, or studying the effects of climate change, having access to comprehensive geographic data is essential for informed decision-making.
Conclusion
Niger’s geography, with its diverse landscapes ranging from desert plains to river valleys, offers both challenges and opportunities for urban development, resource management, and environmental sustainability. By obtaining detailed geographic data on the locations of cities, regions, and departments—including their latitude and longitude coordinates—researchers and planners can gain valuable insights into the country’s spatial dynamics. Offering this data in flexible formats such as CSV, SQL, JSON, and XML ensures that it is accessible and adaptable to a variety of research, policy-making, and planning applications. This data-driven approach helps guide sustainable development, enhances disaster resilience, and supports effective management of Niger’s unique and diverse geography.