Tanzania cities list with latitude and longitude in CSV,SQL,XML,JSON formats
Last update : 10 December 2024.
This is the best list of 7707 cities in the Tanzania 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 Tanzania 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 |
---|---|---|---|---|---|---|---|---|---|---|---|
160571 | Chansangi | Chansangi,Chausangi | TZ | Kagera | Muleba | -1.75 | 31.45 | 0 | Africa/Dar_es_Salaam | populated place | |
160371 | Shongo | Chongo,Shongo | TZ | Katavi | Mpanda | -6.26877 | 30.97732 | 0 | Africa/Dar_es_Salaam | populated place | |
159023 | Isauke | TZ | Morogoro | Mvomero District | -5.98333 | 37.75 | 0 | Africa/Dar_es_Salaam | populated place | ||
152849 | Mtatanga | TZ | Kigoma | -4.78333 | 29.6 | 0 | Africa/Dar_es_Salaam | populated place | |||
160789 | Buturi | TZ | Mara | Rorya | -1.41667 | 34.01667 | 0 | Africa/Dar_es_Salaam | populated place | ||
157982 | Kibindu | TZ | Pwani | Bagamoyo | -5.93333 | 37.88333 | 0 | Africa/Dar_es_Salaam | populated place | ||
877605 | Nanganga | TZ | Mtwara | -10.38333 | 39.15 | 17468 | Africa/Dar_es_Salaam | populated place | |||
151425 | Nkota | TZ | Songwe | Mbozi | -9 | 32.78333 | 0 | Africa/Dar_es_Salaam | populated place | ||
160833 | Buseresere | Buseresere | TZ | Geita | Chato District | -3.04877 | 31.88542 | 52870 | Africa/Dar_es_Salaam | populated place | |
156075 | Lamba | TZ | Singida | Singida Rural District | -4.85 | 35.1 | 0 | Africa/Dar_es_Salaam | populated place | ||
158557 | Kakuni | TZ | Tabora | Urambo | -5.25 | 32.33333 | 0 | Africa/Dar_es_Salaam | populated place | ||
157834 | Kidifu | TZ | Tanga | Pangani | -5.46667 | 38.95 | 0 | Africa/Dar_es_Salaam | populated place | ||
150305 | Salawe | TZ | Shinyanga | Shinyanga Rural | -3.31667 | 32.86667 | 0 | Africa/Dar_es_Salaam | populated place | ||
877591 | Nangua | TZ | Mtwara | Nanyumbu District | -10.91667 | 38.25 | 0 | Africa/Dar_es_Salaam | populated place | ||
156672 | Kivumoni | TZ | Pemba South | Mkoani District | -5.36667 | 39.73333 | 0 | Africa/Dar_es_Salaam | populated place | ||
151831 | Ndembo | Ndemba,Ndembo | TZ | Lindi | Liwale | -9.66667 | 37.71667 | 0 | Africa/Dar_es_Salaam | populated place | |
157249 | Kinsasi | Kinsasi | TZ | Dodoma | Mpwapwa | -7.06667 | 36.3 | 0 | Africa/Dar_es_Salaam | populated place | |
152029 | Nahungo | TZ | Lindi | Kilwa | -9.66667 | 39 | 0 | Africa/Dar_es_Salaam | populated place | ||
878333 | Libobe | Libobe,Zibobe | TZ | Mtwara | Mtwara | -10.31667 | 39.88333 | 0 | Africa/Dar_es_Salaam | populated place | |
151915 | Nanyanje | Nanyanje,Nanyanji | TZ | Lindi | Lindi Rural | -9.85 | 39.58333 | 0 | Africa/Dar_es_Salaam | populated place | |
149437 | Tukuyu | Neu-Langenberg,Neu-Langenburg,New Langenberg,Ntukuju,Tukuyu | TZ | Mbeya | Rungwe | -9.25 | 33.65 | 28398 | Africa/Dar_es_Salaam | populated place | |
155099 | Makundu | TZ | Pemba North | -5.06667 | 39.65 | 0 | Africa/Dar_es_Salaam | populated place | |||
155169 | Makayo | TZ | Tanga | Korogwe District | -4.93333 | 38.05 | 0 | Africa/Dar_es_Salaam | populated place | ||
151256 | Nyakaliro | Nyakalilo,Nyakaliro | TZ | Mwanza | Sengerema | -2.45 | 32.43333 | 0 | Africa/Dar_es_Salaam | populated place | |
160754 | Bwakira Chini | Bwakira Chini | TZ | Morogoro | Morogoro Rural | -7.40084 | 37.7604 | 0 | Africa/Dar_es_Salaam | populated place | |
150841 | Paiama | TZ | Zanzibar North | Kaskazini B | -5.93333 | 39.25 | 0 | Africa/Dar_es_Salaam | populated place | ||
151412 | Nkunjila | TZ | Singida | Manyoni | -6.43333 | 34.91667 | 0 | Africa/Dar_es_Salaam | populated place | ||
878128 | Mahauhau | TZ | Ruvuma | Tunduru | -11.01667 | 37.53333 | 0 | Africa/Dar_es_Salaam | populated place | ||
151866 | Ndagwasa | TZ | Mwanza | Misungwi district | -3.18333 | 32.85 | 0 | Africa/Dar_es_Salaam | populated place | ||
158145 | Katunene | TZ | Kilimanjaro | Same | -4.08333 | 38.03333 | 0 | Africa/Dar_es_Salaam | populated place | ||
156124 | Kyaka | Kyaka | TZ | Kagera | Missenyi | -1.25222 | 31.42028 | 13810 | Africa/Dar_es_Salaam | populated place | |
156796 | Kitobo | TZ | Kagera | Missenyi | -1.21667 | 31.63333 | 0 | Africa/Dar_es_Salaam | populated place | ||
878289 | Lilala | TZ | Mtwara | Masasi | -10.63333 | 38.66667 | 0 | Africa/Dar_es_Salaam | populated place | ||
877575 | Nanyumbu | TZ | Mtwara | Nanyumbu District | -11.13333 | 38.5 | 0 | Africa/Dar_es_Salaam | populated place | ||
152048 | Mzumbizi | TZ | Tanga | Muheza District | -5.4 | 38.66667 | 0 | Africa/Dar_es_Salaam | populated place | ||
155287 | Mahango | TZ | Mwanza | Nyamagana District | -2.55 | 32.95 | 0 | Africa/Dar_es_Salaam | populated place | ||
152709 | Mubunda | TZ | Kagera | Muleba | -1.95 | 31.53333 | 0 | Africa/Dar_es_Salaam | populated place | ||
155110 | Makuka | TZ | Iringa | Iringa Rural District | -7.23333 | 35.65 | 0 | Africa/Dar_es_Salaam | populated place | ||
156917 | Kisiwani | Kisiwani,Kiswani | TZ | Tanga | Mkinga | -4.9 | 38.95 | 0 | Africa/Dar_es_Salaam | populated place | |
157810 | Kidumba | Kidumba | TZ | Lindi | Kilwa | -8.87648 | 39.24604 | 0 | Africa/Dar_es_Salaam | populated place | |
155063 | Malambala | TZ | Iringa | Kilolo District | -8.08333 | 35.66667 | 0 | Africa/Dar_es_Salaam | populated place | ||
158241 | Kasiga | TZ | Tanga | Korogwe District | -4.81667 | 38.23333 | 0 | Africa/Dar_es_Salaam | populated place | ||
160363 | Christu | TZ | Songwe | Momba | -9.1 | 32.35 | 0 | Africa/Dar_es_Salaam | populated place | ||
155599 | Lungwa | TZ | Iringa | Iringa Rural District | -7.21667 | 34.71667 | 0 | Africa/Dar_es_Salaam | populated place | ||
152089 | Myungaluko | TZ | Tanga | Lushoto | -4.71667 | 38.4 | 0 | Africa/Dar_es_Salaam | populated place | ||
151483 | Njoge | Ngoji,Njoge | TZ | Dodoma | Kongwa | -5.95 | 36.68333 | 0 | Africa/Dar_es_Salaam | populated place | |
149288 | Ukiriguru | TZ | Mwanza | Misungwi district | -2.71667 | 33.01667 | 0 | Africa/Dar_es_Salaam | populated place | ||
877562 | Naumba | Naumba,Naumbu | TZ | Mtwara | Mtwara | -10.21667 | 40.11667 | 0 | Africa/Dar_es_Salaam | populated place | |
154422 | Mbalizi | TZ | Mbeya | Mbeya | -8.93333 | 33.36667 | 0 | Africa/Dar_es_Salaam | populated place | ||
155753 | Luganga | Luganga | TZ | Iringa | Iringa Rural District | -7.25 | 36.1 | 0 | Africa/Dar_es_Salaam | populated place | |
155361 | Magena | TZ | Mara | Tarime | -1.41667 | 34.25 | 0 | Africa/Dar_es_Salaam | populated place | ||
160176 | Donge Kewera | TZ | Zanzibar North | Kaskazini B | -5.95 | 39.26667 | 0 | Africa/Dar_es_Salaam | populated place | ||
160464 | Chimala | TZ | Mbeya | Mbarali district | -8.85637 | 34.02393 | 24817 | Africa/Dar_es_Salaam | populated place | ||
158043 | Kianga | TZ | Zanzibar Urban/West | Magharibi | -6.13333 | 39.26667 | 0 | Africa/Dar_es_Salaam | populated place | ||
158176 | Katete | TZ | Rukwa | Kalambo | -8.63333 | 31.53333 | 0 | Africa/Dar_es_Salaam | populated place | ||
154478 | Mayomboni | Kijamboni,Mamboni,Mayomboni | TZ | Tanga | Mkinga | -4.74374 | 39.16646 | 0 | Africa/Dar_es_Salaam | populated place | |
156743 | Kitundu Bondeni | TZ | Zanzibar North | -6.06667 | 39.25 | 0 | Africa/Dar_es_Salaam | populated place | |||
151158 | Nyambosy | Nyambosy,Nyambosyo | TZ | Songwe | Mbozi | -8.81667 | 32.95 | 0 | Africa/Dar_es_Salaam | populated place | |
442846 | Isingiro | TZ | Kagera | Kyerwa | -1.27389 | 30.69056 | 0 | Africa/Dar_es_Salaam | populated place | ||
157875 | Kidachi | TZ | Dodoma | Chamwino | -6.78333 | 35.53333 | 0 | Africa/Dar_es_Salaam | populated place | ||
154533 | Mautia | TZ | Dodoma | Kongwa | -6.18333 | 36.48333 | 0 | Africa/Dar_es_Salaam | populated place | ||
149278 | Ukubwa-wa-bure | TZ | Pemba South | Chake Chake District | -5.26667 | 39.75 | 0 | Africa/Dar_es_Salaam | populated place | ||
877885 | Mkowela | Mkobela,Mkowela | TZ | Ruvuma | Tunduru | -10.93333 | 38 | 0 | Africa/Dar_es_Salaam | populated place | |
877487 | Nkalanga | Kalanga,Nkalanga | TZ | Njombe | -10.11667 | 34.51667 | 0 | Africa/Dar_es_Salaam | populated place | ||
152675 | Mughunga | Makungwini,Mughunga | TZ | Kilimanjaro | Same | -3.93333 | 37.7 | 0 | Africa/Dar_es_Salaam | populated place | |
156617 | Kizala | TZ | Tanga | Lushoto | -4.83333 | 38.33333 | 0 | Africa/Dar_es_Salaam | populated place | ||
152307 | Mwambas | TZ | Mbeya | Chunya | -8.6 | 33.56667 | 0 | Africa/Dar_es_Salaam | populated place | ||
160583 | Chanjani | TZ | Pemba North | Wete District | -5.1 | 39.8 | 0 | Africa/Dar_es_Salaam | populated place | ||
160905 | Bumbwi | TZ | Zanzibar North | -6.06667 | 39.28333 | 0 | Africa/Dar_es_Salaam | populated place | |||
877934 | Mikangowla | TZ | Ruvuma | Tunduru | -11.2 | 37.8 | 0 | Africa/Dar_es_Salaam | populated place | ||
156377 | Kureke | TZ | Zanzibar North | Kaskazini A | -5.85 | 39.3 | 0 | Africa/Dar_es_Salaam | populated place | ||
11258185 | Tuamoyo | TZ | Dar es Salaam | Temeke | -6.82869 | 39.32668 | 0 | Africa/Dar_es_Salaam | populated place | ||
149643 | Takao | TZ | Pemba North | Wete District | -5.1 | 39.76667 | 0 | Africa/Dar_es_Salaam | populated place | ||
157656 | Kihuma | TZ | Lindi | Liwale | -9.23333 | 37.95 | 0 | Africa/Dar_es_Salaam | populated place | ||
7388104 | Sukura | Sukura | TZ | Pwani | Mafia | -7.87683 | 39.69422 | 0 | Africa/Dar_es_Salaam | populated place | |
156334 | Kwadisegi | TZ | Tanga | Kilindi District | -5.6 | 37.51667 | 0 | Africa/Dar_es_Salaam | populated place | ||
158313 | Karole | Karole | TZ | Pwani | Mkuranga | -7.35114 | 39.28581 | 0 | Africa/Dar_es_Salaam | populated place | |
159103 | Ipogoro | Ipogoro,Iporgoro | TZ | Mbeya | Chunya | -8.5 | 33.48333 | 0 | Africa/Dar_es_Salaam | populated place | |
7388818 | Idale | Idale | TZ | Iringa | Kilolo District | -7.2722 | 36.24342 | 0 | Africa/Dar_es_Salaam | populated place | |
156257 | Kwamkunde | TZ | Tanga | Muheza District | -5.21667 | 38.83333 | 0 | Africa/Dar_es_Salaam | populated place | ||
153526 | Mkulat | TZ | Arusha | Arusha District | -3.31667 | 36.56667 | 0 | Africa/Dar_es_Salaam | populated place | ||
160002 | Fujanguvu | TZ | Pemba North | -4.98333 | 39.81667 | 0 | Africa/Dar_es_Salaam | populated place | |||
157148 | Kipengele | TZ | Iringa | Iringa Rural District | -8.01667 | 35.55 | 0 | Africa/Dar_es_Salaam | populated place | ||
442776 | Kiruruma | TZ | Kagera | Karagwe | -1.63111 | 30.94917 | 0 | Africa/Dar_es_Salaam | populated place | ||
8550472 | Kibumba | TZ | Geita | Chato District | -2.86646 | 31.85121 | 0 | Africa/Dar_es_Salaam | populated place | ||
154025 | Mgunga | TZ | Dodoma | Chamwino | -6.13333 | 36.21667 | 0 | Africa/Dar_es_Salaam | populated place | ||
877787 | Mswika | TZ | Ruvuma | Mbinga | -10.78333 | 35 | 0 | Africa/Dar_es_Salaam | populated place | ||
159211 | Ilindi | Ilindi | TZ | Dodoma | Dodoma Urban District | -6.01667 | 35.56667 | 0 | Africa/Dar_es_Salaam | populated place | |
8128925 | Amugongo | TZ | Kagera | Karagwe | -1.72669 | 31.14744 | 0 | Africa/Dar_es_Salaam | populated place | ||
151559 | Nguvumali | TZ | Tanga | Tanga | -5.06667 | 39.08333 | 0 | Africa/Dar_es_Salaam | populated place | ||
389814 | Kayanga | TZ | Kagera | Karagwe | -1.53306 | 31.155 | 0 | Africa/Dar_es_Salaam | populated place | ||
878395 | Kihatu | Kihatu,Kinatu | TZ | Lindi | Nachingwea | -10.31667 | 38.16667 | 0 | Africa/Dar_es_Salaam | populated place | |
149026 | Uyowa | TZ | Tabora | Kaliua | -4.49806 | 31.96306 | 0 | Africa/Dar_es_Salaam | populated place | ||
155339 | Magogoni | TZ | Dar es Salaam | Temeke | -6.83333 | 39.33333 | 0 | Africa/Dar_es_Salaam | populated place | ||
159606 | Holeni | TZ | Mbeya | Mbeya | -8.71667 | 33.45 | 0 | Africa/Dar_es_Salaam | populated place | ||
148958 | Vumawimbi | TZ | Pemba South | Mkoani District | -5.38333 | 39.7 | 0 | Africa/Dar_es_Salaam | populated place | ||
148681 | Zitengeni | TZ | Tanga | Mkinga | -4.70355 | 39.12274 | 0 | Africa/Dar_es_Salaam | populated place | ||
157427 | Kilingeni | TZ | Pemba North | Micheweni | -4.93333 | 39.71667 | 0 | Africa/Dar_es_Salaam | populated place | ||
152670 | Mugongo | TZ | Kigoma | Kasulu | -4.86639 | 30.48 | 0 | Africa/Dar_es_Salaam | populated place | ||
877391 | Tandahimba | TZ | Mtwara | Tandahimba | -10.75 | 39.63333 | 17041 | Africa/Dar_es_Salaam | populated place |
Tanzania: A Geographical Perspective on Africa's Diverse Landscape
Tanzania, located in East Africa, is a country that offers a unique blend of vibrant ecosystems, rich cultural heritage, and remarkable geographic diversity. From the savannas of the Serengeti to the tropical shores of Zanzibar, Tanzania's landscape is both varied and stunning. As a geographer, understanding Tanzania’s intricate spatial layout, including its cities, regions, and geographic features, is essential for grasping the nation’s complexities. Geographic data, such as the latitude and longitude of cities and regions, provides an invaluable resource for analyzing the distribution of resources, urban development, and environmental conservation efforts.
A Land of Contrasts: Tanzania's Geography
Tanzania is a country marked by a striking contrast of landscapes. Its geography includes majestic mountains, expansive plateaus, vast plains, and stunning coastlines. The country's natural diversity is one of its most defining characteristics, with regions ranging from dense forests in the west to arid grasslands in the central and northern areas.
The Serengeti National Park, famous for its annual wildebeest migration, forms part of Tanzania’s northern plains and is an internationally recognized symbol of the country's rich wildlife and natural beauty. The Ngorongoro Crater, a collapsed volcanic caldera, is another geographical wonder that houses a diverse range of animal species and is a UNESCO World Heritage site. The eastern part of Tanzania, bordered by the Indian Ocean, is home to tropical beaches and lush forests, particularly around the coastal city of Dar es Salaam and the nearby island of Zanzibar.
To the west, the country is home to the shores of Lake Tanganyika, one of the deepest and longest lakes in the world, providing an important resource for the communities living along its banks. Further to the south, Tanzania is home to part of the Selous Game Reserve, one of the largest protected wildlife areas in Africa.
Tanzania’s geographical diversity extends not only to its landscapes but also to its climate. The coastal regions are influenced by the Indian Ocean, providing a humid tropical climate, while the interior plateaus experience a more temperate climate with distinct wet and dry seasons. The country's highest point, Mount Kilimanjaro, standing at 5,895 meters, is an iconic symbol of Tanzania and a popular destination for climbers worldwide. The mountain’s glaciers, however, are retreating due to climate change, an issue that highlights the importance of environmental monitoring and sustainable management.
Administrative Divisions: Regions, Cities, and Urban Centers
Tanzania is divided into 26 regions, each with its own distinctive geography, culture, and economic activity. These regions are further subdivided into districts, which provide the framework for local governance. The regions themselves differ greatly in terms of climate, resources, and population density. While some regions, like Dar es Salaam and Mwanza, are urbanized and industrialized, others, like Manyara and Rukwa, are more rural and depend on agriculture and natural resource extraction.
Dar es Salaam, located on the eastern coast, is Tanzania's largest city and the country's economic hub. As a port city with access to international trade routes, Dar es Salaam plays a vital role in the economy, providing the country with its principal entry point for goods and services. The city's coastal location along the Indian Ocean also makes it a key player in the country's tourism industry, as well as an important center for commerce and government services.
Dodoma, the capital city, located in the central part of Tanzania, is the political center of the country. Although Dodoma is smaller and less developed than Dar es Salaam, it plays a key role in government functions, as it houses the Tanzanian Parliament and other government institutions.
Further inland, regions like Arusha and Kilimanjaro are key for agriculture and tourism. Arusha is the gateway to northern Tanzania's national parks, such as the Serengeti, Ngorongoro, and Mount Kilimanjaro, while the Kilimanjaro region is known for its fertile land and coffee production.
Geographic Data and Its Role in Understanding Tanzania’s Development
Geographic data is essential for understanding how Tanzania’s natural features, cities, and regions interact with one another. By obtaining precise data on the latitude and longitude of cities and regions, geographers and urban planners can gain a better understanding of how resources, infrastructure, and population are distributed across the country.
For example, understanding the location of key cities such as Dar es Salaam, Arusha, and Mwanza, along with their proximity to vital resources like water bodies, forests, and agricultural land, allows for better planning of infrastructure projects and sustainable development strategies. Geographic data is critical for monitoring urban growth, understanding population trends, and assessing the impacts of human activity on Tanzania's ecosystems.
Moreover, by analyzing the spatial distribution of resources such as water, energy, and arable land, Tanzania can better plan for its agricultural activities, especially in areas with limited access to water sources. Understanding the exact location of water bodies such as the Rufiji River or Lake Tanganyika provides valuable information for managing the country’s water resources and promoting sustainable agricultural practices.
Regional Development and Infrastructure Challenges
Tanzania’s regions vary significantly in terms of economic activity, infrastructure, and access to services. The densely populated regions around Dar es Salaam benefit from industrial and commercial growth, while rural areas face challenges related to infrastructure, healthcare, and education. Geographic data can provide insights into these disparities and help prioritize areas for development.
For instance, while Dar es Salaam, Mwanza, and Arusha are relatively well-developed in terms of infrastructure, many regions, particularly those in the north and southwest, still face significant barriers to access, including poor road networks and limited access to healthcare and education. Geographic data can help address these challenges by identifying areas that require investment in roads, bridges, and healthcare facilities.
In addition to improving infrastructure, geographic data can also help address the challenges posed by Tanzania’s growing population, which is expected to increase rapidly in the coming decades. Mapping population density and migration patterns can assist policymakers in planning for urban expansion and rural development, ensuring that growth occurs in a way that benefits all regions of the country.
Environmental Conservation and Geographic Data
Tanzania’s rich biodiversity and vast natural resources make it an important region for environmental conservation. However, the country faces numerous environmental challenges, including deforestation, habitat loss, and the effects of climate change. Geographic data is an essential tool in monitoring environmental changes and implementing effective conservation strategies.
Tanzania is home to some of the world’s most famous national parks and game reserves, such as the Serengeti National Park, the Selous Game Reserve, and the Ngorongoro Conservation Area. These protected areas are crucial for conserving wildlife and promoting sustainable tourism. Geographic data helps monitor the health of these ecosystems, track changes in wildlife populations, and manage human activities that could threaten the natural environment.
Climate change also poses a significant risk to Tanzania’s environment, particularly its agriculture and water resources. Changes in rainfall patterns, increased temperatures, and rising sea levels threaten both the rural and coastal areas of the country. Geographic data helps in assessing the impact of climate change, identifying vulnerable areas, and developing strategies for climate adaptation, such as improving water conservation techniques and supporting climate-resilient agriculture.
Conclusion: The Role of Geographic Data in Tanzania’s Future
In conclusion, Tanzania’s geography plays a fundamental role in shaping its identity, economy, and development. The country’s diverse landscapes, from its coastal plains to its towering mountains, are vital to its natural beauty, economy, and cultural heritage. Geographic data, including the latitude and longitude of cities, regions, and natural features, is crucial for understanding the spatial relationships between these elements and ensuring that Tanzania’s development is sustainable and equitable.
By obtaining and utilizing geographic data, Tanzania can address its regional disparities, promote sustainable development, and better manage its natural resources. Whether for infrastructure planning, environmental conservation, or climate adaptation, geographic data will continue to play a vital role in guiding Tanzania’s future and ensuring that its rich natural and cultural heritage is preserved for generations to come.
FaQ about Tanzania
- 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.