Haiti cities list with latitude and longitude in CSV,SQL,XML,JSON formats
Last update : 15 January 2025.
This is the best list of 10844 cities in the Haiti 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 Haiti 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 |
---|---|---|---|---|---|---|---|---|---|---|---|
3726350 | Ditty | Ditty,Dity | HT | Nord | 19.85 | -72.6 | 0 | America/Port-au-Prince | populated place | ||
3716171 | Trou Soleil | HT | Sud | Arrondissement des Cayes | 18.41667 | -73.76667 | 0 | America/Port-au-Prince | populated place | ||
3718210 | Rande Joie | HT | Centre | Arrondissement de Cerca la Source | 19.1 | -71.86667 | 0 | America/Port-au-Prince | populated place | ||
3731025 | Audate | Audate | HT | Nord | Lenbe | 19.61008 | -72.42264 | 0 | America/Port-au-Prince | populated place | |
3716046 | Véronne | HT | Sud | Chadonyè | 18.35 | -74.16667 | 0 | America/Port-au-Prince | populated place | ||
3722097 | Liquette | Liquette | HT | Nord-Ouest | Arrondissement de Saint-Louis du Nord | 19.89915 | -72.65847 | 0 | America/Port-au-Prince | populated place | |
3717774 | Roufe | HT | Artibonite | Gonayiv | 19.53333 | -72.55 | 0 | America/Port-au-Prince | populated place | ||
3730722 | Barrière Battant | HT | Ouest | Lagonav | 18.81667 | -73.06667 | 0 | America/Port-au-Prince | populated place | ||
3720844 | Mineur | HT | Sud-Est | Arrondissement de Jacmel | 18.28333 | -72.33333 | 0 | America/Port-au-Prince | populated place | ||
3730153 | Bernard | HT | Artibonite | Arrondissement de Saint-Marc | 19.03333 | -72.43333 | 0 | America/Port-au-Prince | populated place | ||
3726754 | Dénard | Denard,Dénard | HT | Sud-Est | Arrondissement de Bainet | 18.25611 | -72.69722 | 0 | America/Port-au-Prince | populated place | |
3720971 | Merci | Merci | HT | Artibonite | Arrondissement de Gros Morne | 19.67377 | -72.79537 | 0 | America/Port-au-Prince | populated place | |
3729705 | Bois Milot | Bois Milot | HT | Nord-Ouest | Arrondissement de Port-de-Paix | 19.87497 | -72.91081 | 0 | America/Port-au-Prince | populated place | |
3724508 | Grande Passe | HT | Sud | Chadonyè | 18.26265 | -74.09952 | 0 | America/Port-au-Prince | populated place | ||
3721915 | Macaisse | Macaisse | HT | Artibonite | Arrondissement de Dessalines | 19.13499 | -72.50485 | 0 | America/Port-au-Prince | populated place | |
3722724 | La Plage | HT | Sud | Arrondissement des Cayes | 18.2 | -73.88333 | 0 | America/Port-au-Prince | populated place | ||
3725580 | Falaise | HT | Ouest | Leyogàn | 18.36667 | -72.56667 | 0 | America/Port-au-Prince | populated place | ||
3716684 | Thérese | HT | Ouest | Leyogàn | 18.35 | -72.85 | 0 | America/Port-au-Prince | populated place | ||
3721670 | Malogotan | HT | Sud | Chadonyè | 18.35 | -74.11667 | 0 | America/Port-au-Prince | populated place | ||
3719525 | Nos Pam | HT | Nord-Ouest | Mòl Sen Nikola | 19.68333 | -73.36667 | 0 | America/Port-au-Prince | populated place | ||
3717559 | Saint-Michel du Sud | Saint-Michel du Sud | HT | Nippes | 18.37321 | -73.11671 | 0 | America/Port-au-Prince | populated place | ||
3724219 | Gringotte | Gringolle,Gringotte | HT | Nord-Ouest | Arrondissement de Port-de-Paix | 20.03073 | -72.80286 | 0 | America/Port-au-Prince | populated place | |
3715941 | Ville Bonheur | Saut d’Eau,Saut d’Eau de Ville Bonheur,Saut d’Eau,Saut d’Eau de Ville Bonheur,Ville Bonheur | HT | Centre | Arrondissement de Mirebalais | 18.81598 | -72.20193 | 0 | America/Port-au-Prince | populated place | |
3722614 | La Rose | HT | Nord | Arrondissement de l’Acul du Nord | 19.56667 | -72.31667 | 0 | America/Port-au-Prince | populated place | ||
3724954 | Garde Cote | HT | Ouest | Arrondissement de Port-au-Prince | 18.53278 | -72.38639 | 0 | America/Port-au-Prince | populated place | ||
3726733 | Dépé | Depe,Dépé | HT | Nord-Est | Wanament | 19.57999 | -71.80066 | 0 | America/Port-au-Prince | populated place | |
3728050 | Cérécif | HT | Centre | Arrondissement de Lascahobas | 18.83333 | -71.81667 | 0 | America/Port-au-Prince | populated place | ||
3721937 | Lucas | HT | Centre | Arrondissement de Lascahobas | 18.86667 | -71.86667 | 0 | America/Port-au-Prince | populated place | ||
3716677 | Thoman | HT | Nord | Grann Rivyè di Nò | 19.41667 | -72.11667 | 0 | America/Port-au-Prince | populated place | ||
3728943 | Cabocal | HT | Centre | Arrondissement de Hinche | 19.13333 | -71.93333 | 0 | America/Port-au-Prince | populated place | ||
3722969 | La Hatte | La Hatte | HT | Sud | Koto | 18.2384 | -74.044 | 0 | America/Port-au-Prince | populated place | |
3719299 | Pâques | Nan Paques,Paques,Pâques | HT | Nord-Est | Arrondissement de Vallières | 19.37198 | -71.9862 | 0 | America/Port-au-Prince | populated place | |
3720375 | Nabou | HT | Artibonite | Gonayiv | 19.51667 | -72.46667 | 0 | America/Port-au-Prince | populated place | ||
3717912 | Roche à Pierre | Roche a Pierre,Roche à Pierre | HT | GrandʼAnse | Jeremi | 18.51441 | -74.29876 | 0 | America/Port-au-Prince | populated place | |
3729447 | Borne | HT | Ouest | Arrondissement de Croix des Bouquets | 18.7 | -72.25 | 0 | America/Port-au-Prince | populated place | ||
3725421 | Fond Amadou | Fond Amadon,Fond Amadou | HT | Nord-Ouest | Mòl Sen Nikola | 19.84136 | -73.23298 | 0 | America/Port-au-Prince | populated place | |
3729293 | Boudary | HT | Sud | Arrondissement d’Aquin | 18.2 | -73.05 | 0 | America/Port-au-Prince | populated place | ||
3723872 | Henry | Henry | HT | Ouest | Arrondissement de Port-au-Prince | 18.46483 | -72.45947 | 0 | America/Port-au-Prince | populated place | |
3730164 | Bernaleau | HT | Sud-Est | Arrondissement de Bainet | 18.25 | -72.8 | 0 | America/Port-au-Prince | populated place | ||
3731076 | Arena | HT | Artibonite | Arrondissement de Gros Morne | 19.73333 | -72.63333 | 0 | America/Port-au-Prince | populated place | ||
3730371 | Bellande | Bellande | HT | Nord | Arrondissement de Plaisance | 19.68532 | -72.55394 | 0 | America/Port-au-Prince | populated place | |
3730811 | Baptiste | HT | Nord-Est | Wanament | 19.45 | -71.75 | 0 | America/Port-au-Prince | populated place | ||
3722135 | Lilette | L’Ilet,L’llet,Lilette,L’llet,L’Îlet | HT | GrandʼAnse | Ansdeno | 18.46996 | -74.45346 | 0 | America/Port-au-Prince | populated place | |
3723106 | Laferranday | HT | Sud-Est | 18.33556 | -72.8625 | 0 | America/Port-au-Prince | populated place | |||
3717118 | Sillon | HT | Nord | Grann Rivyè di Nò | 19.58333 | -72.15 | 0 | America/Port-au-Prince | populated place | ||
3726530 | Dessources | HT | Sud | Arrondissement des Cayes | 18.25 | -73.9 | 0 | America/Port-au-Prince | populated place | ||
3717363 | Savane Cajou | HT | Centre | Arrondissement de Hinche | 19.01667 | -71.86667 | 0 | America/Port-au-Prince | populated place | ||
3719980 | Nan Joupa | HT | Nord-Ouest | 19.81667 | -72.66667 | 0 | America/Port-au-Prince | populated place | |||
3723124 | La Faille | La Faille | HT | Artibonite | Arrondissement de Dessalines | 19.05164 | -72.2436 | 0 | America/Port-au-Prince | populated place | |
3723074 | Lafolestre | HT | Nord | 19.51667 | -72.36667 | 0 | America/Port-au-Prince | populated place | |||
3728308 | Carrefour des Quatre Chemins | HT | Sud | Arrondissement des Cayes | 18.2 | -73.75 | 0 | America/Port-au-Prince | populated place | ||
3727314 | Corosse Sèche | HT | Nord-Ouest | 20.01667 | -72.78333 | 0 | America/Port-au-Prince | populated place | |||
3726646 | Descordes | Descordes | HT | Artibonite | Arrondissement de Dessalines | 19.17816 | -72.50576 | 0 | America/Port-au-Prince | populated place | |
3731158 | Anger | Ange,Anger | HT | Artibonite | Arrondissement de Saint-Marc | 19.05757 | -72.51997 | 0 | America/Port-au-Prince | populated place | |
3722142 | Ligrand | HT | Nord-Ouest | Arrondissement de Port-de-Paix | 19.76667 | -72.86667 | 0 | America/Port-au-Prince | populated place | ||
3728655 | Ca Louis | Ca Louis | HT | Ouest | Arrondissement de Croix des Bouquets | 18.44002 | -72.00085 | 0 | America/Port-au-Prince | populated place | |
3718793 | Pinquière | Pinquiere,Pinquière | HT | GrandʼAnse | Jeremi | 18.51311 | -74.18338 | 0 | America/Port-au-Prince | populated place | |
3727768 | Cherident | HT | Ouest | Leyogàn | 18.38333 | -72.66667 | 0 | America/Port-au-Prince | populated place | ||
3718523 | Pointe des Lataniers | HT | Ouest | Lagonav | 18.95 | -73.23333 | 0 | America/Port-au-Prince | populated place | ||
3728434 | Carabonique | Carabonique,Carabonite | HT | Centre | Arrondissement de Cerca la Source | 19.15 | -71.66667 | 0 | America/Port-au-Prince | populated place | |
3728658 | Calons | HT | Nord-Ouest | Mòl Sen Nikola | 19.75806 | -73.18083 | 0 | America/Port-au-Prince | populated place | ||
3729761 | Bois Jaune | HT | Nord | Grann Rivyè di Nò | 19.46667 | -72.08333 | 0 | America/Port-au-Prince | populated place | ||
3720669 | Montolon | Monfolon,Montolon | HT | Nord | Okap | 19.70737 | -72.10436 | 0 | America/Port-au-Prince | populated place | |
3721524 | Marcelline | Marceline,Marcellin,Marcelline | HT | Sud | Arrondissement des Cayes | 18.36183 | -73.87425 | 0 | America/Port-au-Prince | populated place | |
3724077 | Guépin | HT | Artibonite | Arrondissement de Dessalines | 18.93333 | -72.28333 | 0 | America/Port-au-Prince | populated place | ||
3724127 | Grosse Pierre | Grosse Pierre | HT | Centre | Arrondissement de Mirebalais | 18.78177 | -72.20695 | 0 | America/Port-au-Prince | populated place | |
3729446 | Borne Fer | Bonne Fer,Borne Fer | HT | Sud | 18.36058 | -73.18928 | 0 | America/Port-au-Prince | populated place | ||
3722549 | La Source | HT | Sud | Arrondissement d’Aquin | 18.25 | -73.6 | 0 | America/Port-au-Prince | populated place | ||
3718992 | Petite Place | HT | Nord-Est | Arrondissement de Vallières | 19.46667 | -71.96667 | 0 | America/Port-au-Prince | populated place | ||
3729037 | Brossard | Brossar,Brossard,Броссар | HT | Nord | Grann Rivyè di Nò | 19.56667 | -72.2 | 0 | America/Port-au-Prince | populated place | |
3720105 | Nan Emboucher | HT | Nord-Ouest | Arrondissement de Saint-Louis du Nord | 19.88333 | -72.6 | 0 | America/Port-au-Prince | populated place | ||
3724206 | Gros Bassin | HT | Sud | Chadonyè | 18.3 | -74.11667 | 0 | America/Port-au-Prince | populated place | ||
3720652 | Morasse | HT | Sud | Arrondissement de Port-Salut | 18.16667 | -73.91667 | 0 | America/Port-au-Prince | populated place | ||
3721950 | Lourou | Lourou | HT | Artibonite | 19.67568 | -72.60527 | 0 | America/Port-au-Prince | populated place | ||
3730514 | Bazin | HT | Sud-Est | Arrondissement de Jacmel | 18.23333 | -72.58333 | 0 | America/Port-au-Prince | populated place | ||
3722773 | La Noire | HT | Nord | 19.83333 | -72.63333 | 0 | America/Port-au-Prince | populated place | |||
3727864 | Charon | HT | Nord | Grann Rivyè di Nò | 19.46667 | -72.06667 | 0 | America/Port-au-Prince | populated place | ||
3718645 | Plateau | Plateau | HT | Centre | 18.74908 | -72.19502 | 0 | America/Port-au-Prince | populated place | ||
3720598 | Morne a Boeufs | Morne a Bœufs,Morne à Bœufs | HT | Sud | Koto | 18.31667 | -74.08333 | 0 | America/Port-au-Prince | populated place | |
3717743 | Rousselin | HT | GrandʼAnse | Ansdeno | 18.55458 | -74.4287 | 0 | America/Port-au-Prince | populated place | ||
3724736 | Goala | HT | Sud-Est | Arrondissement de Jacmel | 18.31667 | -72.38333 | 0 | America/Port-au-Prince | populated place | ||
3727523 | Colombelle | HT | Nippes | Arrondissement de Miragoâne | 18.38333 | -73.23333 | 0 | America/Port-au-Prince | populated place | ||
3724614 | Grand Anse | Grand Anse,Grand’ Anse,Grand’ Anse | HT | Nippes | Arrondissement de Baradères | 18.57268 | -73.65272 | 0 | America/Port-au-Prince | populated place | |
3727980 | Chambon | HT | Ouest | Arrondissement de Port-au-Prince | 18.46667 | -72.26667 | 0 | America/Port-au-Prince | populated place | ||
3722921 | La Jeune | HT | Nord | Sen Rafayèl | 19.28333 | -72.08333 | 0 | America/Port-au-Prince | populated place | ||
3718551 | Platon Trou Louis | Platon Trou Louis | HT | Ouest | Lagonav | 18.8788 | -73.18975 | 0 | America/Port-au-Prince | populated place | |
3729806 | Bois de Lance | HT | Artibonite | Arrondissement de Marmelade | 19.23333 | -72.35 | 0 | America/Port-au-Prince | populated place | ||
3718143 | Ravine Pâques | Ravine Paques,Ravine Pâques | HT | Ouest | Leyogàn | 18.43592 | -72.95993 | 0 | America/Port-au-Prince | populated place | |
3724388 | Grande Savane | HT | Artibonite | Gonayiv | 19.58333 | -72.68333 | 0 | America/Port-au-Prince | populated place | ||
3722509 | La Suisse | HT | Nord | Arrondissement de l’Acul du Nord | 19.67778 | -72.2425 | 0 | America/Port-au-Prince | populated place | ||
3730117 | Bertrand | HT | Ouest | Arrondissement de Port-au-Prince | 18.48333 | -72.2 | 0 | America/Port-au-Prince | populated place | ||
3723369 | La Boga | La Boga,Morne Boga | HT | Nippes | Ansavo | 18.43859 | -73.42177 | 0 | America/Port-au-Prince | populated place | |
3727607 | Cocherel | HT | Artibonite | Arrondissement de Gros Morne | 19.63333 | -72.71667 | 0 | America/Port-au-Prince | populated place | ||
11508292 | El Roy | El Roy | HT | Centre | 19.00776 | -71.84737 | 0 | America/Port-au-Prince | populated place | ||
3718859 | Pierre-Louis | HT | Sud-Est | Arrondissement de Jacmel | 18.3 | -72.26667 | 0 | America/Port-au-Prince | populated place | ||
3724223 | Grigri | HT | Centre | Arrondissement de Hinche | 19.08333 | -72.2 | 0 | America/Port-au-Prince | populated place | ||
3722243 | Lesco | HT | Nord-Est | Arrondissement du Trou du Nord | 19.56667 | -72.05 | 0 | America/Port-au-Prince | populated place | ||
3717287 | Savane Longue | Savane Longue | HT | Artibonite | Arrondissement de Gros Morne | 19.71684 | -72.69933 | 0 | America/Port-au-Prince | populated place | |
3730036 | Binaud | HT | Ouest | Leyogàn | 18.51667 | -72.65 | 0 | America/Port-au-Prince | populated place | ||
3721981 | Loss | HT | Centre | Arrondissement de Mirebalais | 18.78333 | -72.11667 | 0 | America/Port-au-Prince | populated place |
Haiti: A Geographical Overview of the Island Nation
The Landscape and Geography of Haiti
Haiti, located on the island of Hispaniola in the Caribbean, is a country that showcases remarkable geographical diversity despite its relatively small size. The island itself is shared with the Dominican Republic to the east, and together, they form the second-largest island in the Caribbean. Haiti, however, occupies the western third of the island, offering a landscape that is both stunning and rugged.
The geography of Haiti is dominated by its mountainous terrain, with the highest peak being Pic la Selle, reaching 2,680 meters (8,793 feet) above sea level. This mountainous interior is crisscrossed with rivers and valleys, which have played a significant role in the country’s settlement patterns. The western coast of Haiti faces the Caribbean Sea, while the northern coast meets the Atlantic Ocean, with Haiti’s coastal regions known for their beautiful beaches and port cities.
The country is highly susceptible to natural disasters due to its geographical setting. Its location on the Caribbean Plate makes it prone to earthquakes, while its tropical climate subjects it to hurricanes and tropical storms, which have devastated its infrastructure in the past. Despite these challenges, Haiti’s diverse geography provides vital resources for agriculture, including fertile soil in its mountain valleys, which has historically supported the country’s agrarian economy.
Administrative Divisions of Haiti: Regions and Departments
Haiti is divided into 10 administrative regions known as departments. Each department is further subdivided into arrondissements and communes, which serve as the administrative units for local governance. The regions vary widely in terms of geography, from the coastal plains to the mountainous interior, influencing both the physical development of cities and the economic activities that sustain them.
The capital city of Port-au-Prince, located in the Ouest (West) Department, is Haiti’s largest city and the country’s political, economic, and cultural hub. Other major cities include Cap-Haïtien in the Nord (North) Department, which is a key port city, and Les Cayes in the Sud (South) Department, a city known for its agricultural significance. Each of these cities, along with others spread across Haiti’s regions, has its own distinct character shaped by its geographical location, history, and economy.
Understanding the administrative divisions of Haiti is key to understanding how its cities and towns interact with each other and the surrounding environment. Each department has its own set of challenges and resources, from the bustling urban centers along the coast to the rural towns nestled in the mountainous interior. By examining the regions and cities of Haiti in greater detail, we can better understand the country’s development and identify the areas in greatest need of support.
The Importance of City and Regional Data for Geographic Understanding
Geographic data on cities, regions, and administrative divisions is essential for comprehending Haiti’s geographic and economic landscape. The locations of cities and their relative proximity to natural resources such as rivers, coastlines, and fertile agricultural land influence the growth and development of those cities. Furthermore, knowing the coordinates of these cities—including their latitude and longitude—is essential for understanding how they fit into the broader spatial structure of the country.
For instance, the capital city of Port-au-Prince, being located in a narrow valley between mountains and the sea, has historically faced significant challenges with overcrowding, traffic congestion, and vulnerability to natural disasters. In contrast, cities like Gonaïves in the Artibonite Department, located further inland, have developed around agriculture and trade routes, making them vital centers for food production and commerce.
By obtaining detailed geographic data on the cities and regions of Haiti, it becomes possible to assess how urbanization patterns are influenced by the geography of the land. Such data can also aid in understanding the flow of people and resources between rural and urban areas, helping to pinpoint regions that require further development or intervention.
Latitude and Longitude: Mapping Haiti’s Cities for Better Planning
Latitude and longitude coordinates provide an accurate method for mapping Haiti’s cities and regions. With such data, geographers can precisely pinpoint the locations of each urban center, analyze its spatial relationship to neighboring cities, and understand how the natural environment impacts urban development. For example, the geographic coordinates of Port-au-Prince allow for a more in-depth analysis of its coastal vulnerability and its role as the nation’s economic center. Similarly, understanding the exact coordinates of cities like Cap-Haïtien can provide insights into its growth as a major port and cultural center in northern Haiti.
For urban planners and policymakers, obtaining latitude and longitude data for all cities in Haiti, including their regional classifications, can help streamline transportation planning, emergency preparedness, and infrastructure development. Cities that are located near rivers or coastal areas may require additional measures for flood control, while those in more remote regions may need improved connectivity to larger urban centers.
Sustainable Development and Geographic Data in Haiti
Haiti’s geographical challenges—combined with its vulnerability to natural disasters—require careful, data-driven planning to promote sustainable development. Geographic data on cities, regions, and natural features provides the foundation for developing solutions to these challenges. Accurate mapping of cities and regions allows policymakers to assess environmental risks, prioritize resource allocation, and create more resilient infrastructure systems.
For example, in regions that are prone to flooding, such as areas near rivers or along the coast, understanding the geographic distribution of cities helps identify where to build flood defenses or where to relocate infrastructure. Similarly, Haiti’s mountainous regions, where agriculture is a primary industry, can benefit from data that shows the best locations for irrigation systems or sustainable farming practices.
Furthermore, detailed geographic data can support the government in its efforts to decentralize development, allowing for better allocation of resources to underserved regions, especially those in the rural interior. Cities like Hinche and Mirebalais, located in the central Plateau, can benefit from more accurate data to promote sustainable agriculture and improve access to education and healthcare.
Geographic Data for Economic and Infrastructure Planning
Haiti’s economy, historically reliant on agriculture, is undergoing a process of diversification, with urbanization and industrialization on the rise. Geographic data on the cities of Haiti, including their precise locations and regional affiliations, is critical for guiding infrastructure and economic development. For instance, knowing the geographic coordinates of major agricultural hubs can help improve trade routes, while data on urban centers can aid in the development of sustainable housing and public services.
Geographic data can also be instrumental in identifying areas of economic potential. Coastal cities, like Jacmel and Cap-Haïtien, benefit from proximity to the sea, making them important for trade and tourism. Meanwhile, inland cities with agricultural significance may require targeted investments in transportation and technology to foster greater connectivity and economic growth.
Using Geographic Data for Future Planning in Haiti
As Haiti continues to grow and modernize, geographic data will be critical for ensuring that the country’s development is sustainable and equitable. By obtaining data on the cities, regions, and natural resources of Haiti, including their latitude and longitude, policymakers can make better decisions about infrastructure, disaster management, and resource allocation.
This data-driven approach will allow Haiti to effectively address urban challenges, promote economic growth, and protect its natural environment for future generations. Whether dealing with the challenges posed by population growth in Port-au-Prince or the need for rural development in the central Plateau, geographic data will play an essential role in shaping the country’s future.
Conclusion
In conclusion, obtaining detailed geographic data on Haiti’s cities, regions, and departments—including their latitude and longitude—is essential for understanding the country’s geography and supporting its development. Geographic data plays a crucial role in urban planning, disaster risk management, and sustainable development. By leveraging this data, Haiti can navigate its unique geographical challenges and continue on a path toward growth and resilience in the face of both natural and socio-economic hurdles.
FaQ about Haiti
- 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.