Haiti cities list with latitude and longitude in CSV, XML, SQL, JSON format
Last update : 20 January 2025.
Below is a list of 100 prominent cities in Haiti. Each row includes a city's latitude, longitude, region and other variables of interest. This is a subset of all 10844 places in Haiti 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 Haiti is Port-au-Prince.
Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
---|---|---|---|---|---|---|---|---|---|---|---|
3727221 | Coupois | Coupois | HT | Artibonite | Arrondissement de Saint-Marc | 19.00212 | -72.42257 | 0 | America/Port-au-Prince | populated place | |
3722896 | Lamandier | HT | GrandʼAnse | Arrondissement de Corail | 18.53333 | -74.08333 | 0 | America/Port-au-Prince | populated place | ||
3721382 | Mare Rouge | HT | Artibonite | Arrondissement de Dessalines | 19.13333 | -72.3 | 0 | America/Port-au-Prince | populated place | ||
3719794 | Nan Plaisir | HT | Nord | Oboy | 19.85 | -72.56667 | 0 | America/Port-au-Prince | populated place | ||
3720406 | Moustique | Moustique | HT | Nord | Arrondissement de l’Acul du Nord | 19.70847 | -72.27347 | 0 | America/Port-au-Prince | populated place | |
3730295 | Bellevue | HT | Nippes | 18.55 | -73.53333 | 0 | America/Port-au-Prince | populated place | |||
3722402 | Lavelanet | HT | Centre | Arrondissement de Mirebalais | 18.8 | -72.08333 | 0 | America/Port-au-Prince | populated place | ||
3730227 | Bence | HT | Nord | Sen Rafayèl | 19.41667 | -72.06667 | 0 | America/Port-au-Prince | populated place | ||
3729069 | Brieux | Brieux | HT | Sud | Arrondissement de Port-Salut | 18.10457 | -73.85349 | 0 | America/Port-au-Prince | populated place | |
3718330 | Présina | HT | Centre | Arrondissement de Cerca la Source | 19.20284 | -71.66954 | 0 | America/Port-au-Prince | populated place | ||
3727253 | Couline Boucan Greffin | HT | Sud-Est | 18.35 | -72.06667 | 0 | America/Port-au-Prince | populated place | |||
3721125 | Mathurin | HT | Sud-Est | Arrondissement de Jacmel | 18.25 | -72.43333 | 0 | America/Port-au-Prince | populated place | ||
3726120 | Douyette | HT | Sud | Chadonyè | 18.35 | -74.06667 | 0 | America/Port-au-Prince | populated place | ||
3723487 | Jura | Jura,Jurand | HT | Artibonite | Arrondissement de Saint-Marc | 18.88333 | -72.33333 | 0 | America/Port-au-Prince | populated place | |
3727555 | Colette | HT | Sud | Arrondissement de Port-Salut | 18.05889 | -73.82278 | 0 | America/Port-au-Prince | populated place | ||
3716898 | Tapion | HT | Sud | Arrondissement de Port-Salut | 18.1 | -73.85 | 0 | America/Port-au-Prince | populated place | ||
3730110 | Bertrang | Bertrand Trouin,Bertrang | HT | Artibonite | Arrondissement de Saint-Marc | 19.20053 | -72.66466 | 0 | America/Port-au-Prince | populated place | |
3721171 | Masson | HT | Ouest | Leyogàn | 18.51667 | -72.58333 | 0 | America/Port-au-Prince | populated place | ||
3722208 | L’Étang | HT | Nord | Arrondissement de Plaisance | 19.75 | -72.58333 | 0 | America/Port-au-Prince | populated place | ||
3729936 | Boco | HT | Nippes | Arrondissement de Miragoâne | 18.36667 | -73.08333 | 0 | America/Port-au-Prince | populated place | ||
3721293 | Mario | HT | Sud | Chadonyè | 18.31667 | -74.16667 | 0 | America/Port-au-Prince | populated place | ||
3724358 | Grand Fond | Grand Fond | HT | Nippes | Ansavo | 18.50151 | -73.37456 | 0 | America/Port-au-Prince | populated place | |
3723576 | Jilling | HT | Ouest | Arcahaie | 18.93333 | -72.51667 | 0 | America/Port-au-Prince | populated place | ||
3718749 | Pivert | Pivert | HT | Artibonite | Arrondissement de Saint-Marc | 19.1073 | -72.69312 | 0 | America/Port-au-Prince | populated place | |
3723222 | La Coupe | La Coupe | HT | Artibonite | Gonayiv | 19.53207 | -72.58661 | 0 | America/Port-au-Prince | populated place | |
3728207 | Caspiquet | HT | Ouest | 18.33333 | -72.25 | 0 | America/Port-au-Prince | populated place | |||
3718942 | Petit Pothenot | Petit Pothenot | HT | Artibonite | Arrondissement de Dessalines | 19.22653 | -72.64895 | 0 | America/Port-au-Prince | populated place | |
3721296 | Marinnois | HT | Nord-Ouest | Mòl Sen Nikola | 19.68333 | -73.3 | 0 | America/Port-au-Prince | populated place | ||
3723465 | Kalami | Kalami | HT | Centre | Arrondissement de Mirebalais | 18.73388 | -72.16828 | 0 | America/Port-au-Prince | populated place | |
3727688 | Cima | HT | Sud-Est | Arrondissement de Jacmel | 18.33139 | -72.56889 | 0 | America/Port-au-Prince | populated place | ||
3721241 | Marseille | HT | Nord | Grann Rivyè di Nò | 19.45 | -72.15 | 0 | America/Port-au-Prince | populated place | ||
3727854 | Charrier | HT | Nord | Arrondissement de Plaisance | 19.58333 | -72.51667 | 0 | America/Port-au-Prince | populated place | ||
3721074 | Maurice | HT | Nord | Lenbe | 19.6 | -72.43333 | 0 | America/Port-au-Prince | populated place | ||
3715894 | Vogues | HT | Nord | 19.63333 | -72.06667 | 0 | America/Port-au-Prince | populated place | |||
3722106 | Lindor | HT | Sud-Est | Arrondissement de Jacmel | 18.3 | -72.26667 | 0 | America/Port-au-Prince | populated place | ||
3726686 | Derrière Morne | HT | Sud-Est | Belans | 18.31667 | -72.1 | 0 | America/Port-au-Prince | populated place | ||
3727577 | Coffre | HT | Sud-Est | Arrondissement de Bainet | 18.2 | -72.65 | 0 | America/Port-au-Prince | populated place | ||
3717906 | Roche Blanche | HT | Artibonite | Arrondissement de Dessalines | 19.16667 | -72.3 | 0 | America/Port-au-Prince | populated place | ||
3723473 | Ka Flipe | HT | Nord-Ouest | Mòl Sen Nikola | 19.7 | -73.33333 | 0 | America/Port-au-Prince | populated place | ||
3730859 | Balthazar | Baltazar,Balthazar | HT | Centre | Arrondissement de Cerca la Source | 19.25491 | -71.83431 | 0 | America/Port-au-Prince | populated place | |
3716700 | Tête Paon | HT | Sud | Arrondissement des Cayes | 18.23333 | -73.95 | 0 | America/Port-au-Prince | populated place | ||
3718472 | Pommier | HT | Ouest | Arcahaie | 18.9 | -72.58333 | 0 | America/Port-au-Prince | populated place | ||
3719091 | Perdumidi | HT | Ouest | Arrondissement de Port-au-Prince | 18.43333 | -72.41667 | 0 | America/Port-au-Prince | populated place | ||
3716487 | Ti Place | HT | GrandʼAnse | Jeremi | 18.58333 | -74.11667 | 0 | America/Port-au-Prince | populated place | ||
3726073 | Dubois | HT | Sud-Est | Arrondissement de Jacmel | 18.24806 | -72.64111 | 0 | America/Port-au-Prince | populated place | ||
3726859 | Dehouvray | De Rouvray,Dehouvray | HT | Nord-Ouest | Arrondissement de Saint-Louis du Nord | 19.92227 | -72.72177 | 0 | America/Port-au-Prince | populated place | |
3722809 | Lan Chito | HT | Centre | Arrondissement de Lascahobas | 18.76667 | -71.96667 | 0 | America/Port-au-Prince | populated place | ||
3723338 | La Boutique | La Boutique | HT | Artibonite | Arrondissement de Gros Morne | 19.73843 | -72.74244 | 0 | America/Port-au-Prince | populated place | |
3723151 | L’Acul | HT | Sud-Est | 18.23333 | -72.05 | 0 | America/Port-au-Prince | populated place | |||
3724755 | Girodier | HT | Sud | Arrondissement d’Aquin | 18.33333 | -73.63333 | 0 | America/Port-au-Prince | populated place | ||
3716985 | Source Sable | HT | Ouest | Arrondissement de Croix des Bouquets | 18.6 | -72.06667 | 0 | America/Port-au-Prince | populated place | ||
3717795 | Rosemond | HT | Centre | 18.85 | -72.35 | 0 | America/Port-au-Prince | populated place | |||
3731092 | Arboite | HT | Sud-Est | Arrondissement de Jacmel | 18.26667 | -72.68333 | 0 | America/Port-au-Prince | populated place | ||
3722950 | La Hatte | HT | Artibonite | Arrondissement de Dessalines | 19.15 | -72.36667 | 0 | America/Port-au-Prince | populated place | ||
3725913 | Dumoulin | HT | Nippes | Arrondissement de Baradères | 18.455 | -73.61333 | 0 | America/Port-au-Prince | populated place | ||
3716112 | Vally | HT | Ouest | Leyogàn | 18.36667 | -72.81667 | 0 | America/Port-au-Prince | populated place | ||
3729202 | Bourjolly | HT | Ouest | Arrondissement de Port-au-Prince | 18.48667 | -72.42583 | 0 | America/Port-au-Prince | populated place | ||
3724395 | Grande Savane | Grande Savane | HT | Nord-Est | Arrondissement de Vallières | 19.35288 | -71.9141 | 0 | America/Port-au-Prince | populated place | |
3717063 | Soubetier | HT | Nord-Ouest | Arrondissement de Saint-Louis du Nord | 19.88333 | -72.66667 | 0 | America/Port-au-Prince | populated place | ||
3726369 | Diondion | Diondion | HT | Nord-Ouest | Mòl Sen Nikola | 19.85222 | -73.21444 | 0 | America/Port-au-Prince | populated place | |
3721621 | Maniche | Manich,Maniche,Moniche | HT | Sud | Arrondissement des Cayes | 18.34501 | -73.77721 | 0 | America/Port-au-Prince | populated place | |
3730022 | Biron | HT | Sud-Est | Arrondissement de Bainet | 18.2 | -72.83333 | 0 | America/Port-au-Prince | populated place | ||
3727055 | Dame-Marie | Dame-Marie,Ville de Dame Marie | HT | GrandʼAnse | Ansdeno | 18.56107 | -74.42167 | 6036 | America/Port-au-Prince | populated place | |
3720221 | Nan Charles | Nan Charles | HT | Centre | Arrondissement de Cerca la Source | 19.19969 | -71.84341 | 0 | America/Port-au-Prince | populated place | |
3730232 | Belzanine | HT | GrandʼAnse | Jeremi | 18.53333 | -74.26667 | 0 | America/Port-au-Prince | populated place | ||
3718284 | Purly | HT | Nord | Sen Rafayèl | 19.51667 | -72.28333 | 0 | America/Port-au-Prince | populated place | ||
3721799 | Magna | HT | Sud | Arrondissement de Port-Salut | 18.13333 | -73.9 | 0 | America/Port-au-Prince | populated place | ||
3716997 | Source Jean Pierre | HT | Artibonite | Arrondissement de Marmelade | 19.46667 | -72.35 | 0 | America/Port-au-Prince | populated place | ||
3719560 | Nivrose | HT | Sud | Koto | 18.21667 | -74 | 0 | America/Port-au-Prince | populated place | ||
3720509 | Morne Michel | HT | Ouest | Leyogàn | 18.4 | -72.66667 | 0 | America/Port-au-Prince | populated place | ||
3722361 | La Voûte Miguette | HT | Nord | Sen Rafayèl | 19.51667 | -72.26667 | 0 | America/Port-au-Prince | populated place | ||
3726037 | Dubuisson | HT | Centre | Arrondissement de Mirebalais | 18.85 | -72.16667 | 0 | America/Port-au-Prince | populated place | ||
3724387 | Grande Savane | Grande Savane | HT | Nord | Arrondissement de Plaisance | 19.68332 | -72.57665 | 0 | America/Port-au-Prince | populated place | |
3728015 | Chaillot | HT | Nord | Lenbe | 19.68333 | -72.41667 | 0 | America/Port-au-Prince | populated place | ||
3730549 | Bayard | Bayard | HT | Ouest | Arrondissement de Croix des Bouquets | 18.44222 | -72.15361 | 0 | America/Port-au-Prince | populated place | |
3723208 | Lacour | HT | GrandʼAnse | 18.63333 | -74.06667 | 0 | America/Port-au-Prince | populated place | |||
3726607 | Desjardins | HT | Sud | Arrondissement des Cayes | 18.21667 | -73.93333 | 0 | America/Port-au-Prince | populated place | ||
3729200 | Bourouc | HT | Centre | Arrondissement de Hinche | 19.06667 | -72.05 | 0 | America/Port-au-Prince | populated place | ||
3726482 | D’Haïti | HT | Sud-Est | Arrondissement de Jacmel | 18.30028 | -72.53028 | 0 | America/Port-au-Prince | populated place | ||
3724927 | Gardot Michel | HT | Artibonite | Gonayiv | 19.63333 | -72.61667 | 0 | America/Port-au-Prince | populated place | ||
3720093 | Nan Figuier | Nan Figue,Nan Figuier | HT | Centre | 19.08342 | -72.22065 | 0 | America/Port-au-Prince | populated place | ||
3728835 | Cadiac | HT | GrandʼAnse | 18.36667 | -73.15 | 0 | America/Port-au-Prince | populated place | |||
3729203 | Bourjolly | Bourjolly,Bourjoly | HT | Nippes | 18.49127 | -73.74094 | 0 | America/Port-au-Prince | populated place | ||
3721746 | Mahotière | Mahotiere,Mahotieres,Mahotière,Mahotières | HT | Nord-Ouest | Arrondissement de Port-de-Paix | 19.81193 | -72.73292 | 0 | America/Port-au-Prince | populated place | |
3719017 | Petit Bourg du Limbé | Petit Bourg du Limbe,Petit Bourg du Limbé | HT | Nord | 19.79453 | -72.37622 | 0 | America/Port-au-Prince | populated place | ||
3726624 | Désir | HT | Nord | 19.41667 | -72.23333 | 0 | America/Port-au-Prince | populated place | |||
3729563 | Bois Verna | Bois Verna | HT | Nord-Est | Arrondissement de Vallières | 19.38826 | -71.94223 | 0 | America/Port-au-Prince | populated place | |
3725053 | Gaby | HT | Centre | Arrondissement de Lascahobas | 18.81667 | -71.85 | 0 | America/Port-au-Prince | populated place | ||
3717738 | Roux | HT | GrandʼAnse | Jeremi | 18.53333 | -74.36667 | 0 | America/Port-au-Prince | populated place | ||
3723194 | La Cour Périsse | La Cour Perisse,La Cour Périsse,Perisse,Périsse | HT | Artibonite | Gonayiv | 19.35 | -72.56667 | 0 | America/Port-au-Prince | populated place | |
3717780 | Rossolière | HT | Nord-Est | Arrondissement de Vallières | 19.45 | -71.98333 | 0 | America/Port-au-Prince | populated place | ||
3726496 | Deux Moulins | Deux Moulins | HT | Nord-Ouest | Mòl Sen Nikola | 19.71705 | -73.35732 | 0 | America/Port-au-Prince | populated place | |
3723925 | Haut Déhène | HT | Nord | Arrondissement de l’Acul du Nord | 19.73333 | -72.35 | 0 | America/Port-au-Prince | populated place | ||
3729840 | Bois Codine | Bois Codeine,Bois Codine,Bois Codéine | HT | Sud-Est | Belans | 18.25595 | -71.76716 | 0 | America/Port-au-Prince | populated place | |
3727352 | Corbillère | HT | Sud | Arrondissement des Cayes | 18.23333 | -73.71667 | 0 | America/Port-au-Prince | populated place | ||
3720238 | Nan Casse | Nan Casse | HT | Sud | Chadonyè | 18.30262 | -74.20336 | 0 | America/Port-au-Prince | populated place | |
3725568 | Faubeau | HT | Nord | Arrondissement de l’Acul du Nord | 19.67306 | -72.24306 | 0 | America/Port-au-Prince | populated place | ||
3726681 | Derrière Voûte | HT | Artibonite | Arrondissement de Marmelade | 19.26667 | -72.35 | 0 | America/Port-au-Prince | populated place | ||
3718627 | Platon | HT | Ouest | Leyogàn | 18.4 | -72.53333 | 0 | America/Port-au-Prince | populated place | ||
3721043 | Mazenod | Mazenod | HT | Sud | Arrondissement des Cayes | 18.32932 | -73.85201 | 0 | America/Port-au-Prince | populated place |
**Exploring Haiti: Insights from a Geographer**
Nestled in the Caribbean Sea, Haiti is a country rich in history, culture, and natural beauty. As a geographer delves into an exploration of this dynamic nation, the quest for data regarding its cities, regions, and geographical coordinates leads to a fascinating journey through landscapes, traditions, and human geography.
Unveiling Urban Centers**
Haiti's urban landscape is characterized by a blend of historic towns and vibrant cities. From the capital city of Port-au-Prince, a bustling metropolis known for its colorful markets and vibrant street life, to the coastal town of Jacmel, famous for its colonial architecture and vibrant arts scene, each urban center offers a unique glimpse into the country's economic, social, and cultural fabric. For a geographer, obtaining comprehensive data on Haiti's cities, including their regions and departments, is akin to unraveling the layers of urbanization and spatial organization in this diverse and resilient nation.
Mapping the Regions and Departments**
Haiti is divided into ten departments, each with its own distinct characteristics and administrative functions. From the mountainous landscapes of the Centre Department, where coffee and cocoa plantations dot the hillsides, to the coastal plains of the Nippes Department, known for their agricultural productivity and fishing communities, each department boasts its own unique features and cultural heritage. The quest for data extends beyond numerical coordinates, delving into the nuances of local governance, economic development, and social dynamics across Haiti's administrative landscape.
Navigating Latitude and Longitude**
In the pursuit of geographical understanding, latitude and longitude serve as essential tools for mapping Haiti's cities and landmarks. From the northernmost city of Cap-Haïtien, with its colonial-era forts and vibrant marketplaces, to the southernmost city of Jérémie, nestled along the scenic coastlines of the Grand'Anse Department, 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 Haiti.
Exploring Environmental Diversity**
Beyond the urban centers and administrative boundaries, Haiti's landscape is characterized by a rich diversity of ecosystems, from lush rainforests and mountain ranges to coastal mangroves and coral reefs. The country's biodiversity and natural resources support a variety of livelihoods, from subsistence agriculture and artisanal fishing to ecotourism and conservation efforts. As a geographer, the quest for data extends beyond human settlements, encompassing the intricate interplay between land use patterns, environmental sustainability, and community resilience in Haiti's diverse landscape.
Conclusion: Embracing Haiti's Geographical Tapestry**
In the tapestry of Haiti's geography, the quest for data serves as a gateway to understanding the country's complex and dynamic landscape. From the urban centers to the rural hinterlands, each location holds a story waiting to be told. As we unravel Haiti's geographical tapestry, let us not only seek coordinates on a map but also embrace the rich heritage, cultural diversity, and natural beauty that define this vibrant nation in the Caribbean.
Download data files for Haiti's cities in CSV, SQL, XML and JSON formats
Exploring the Geographical Landscape of Haiti: Unlocking Data for Informed Decision-Making
Haiti, located on the island of Hispaniola in the Caribbean Sea, is a country with a rich cultural history and a diverse geographical landscape. From the rugged mountains to the sprawling plains and coastal cities, Haiti presents a unique challenge for geographers and urban planners seeking to understand its physical and administrative makeup. To unlock the full potential of geographical analysis in Haiti, it is essential to obtain detailed data about its cities, regions, and departments, including their exact geographic coordinates.
Geographic data is fundamental for anyone working on urban development, environmental research, disaster planning, or resource management in Haiti. Access to precise information about the cities of Haiti—including their regions, departments, and latitudes and longitudes—enables stakeholders to make informed decisions. Whether you are a researcher looking to assess infrastructure needs or a policymaker planning for sustainable development, having this data available in accessible formats like CSV, SQL, JSON, and XML is crucial.
Haiti’s Administrative and Geographical Structure: Understanding the Regions and Departments
Haiti is divided into 10 departments, which are the highest administrative units in the country. Each department is further divided into arrondissements and communes, which together shape the political and geographical framework of the country. The most well-known cities, such as Port-au-Prince (the capital), Cap-Haïtien, and Les Cayes, play a critical role in Haiti’s economic, political, and cultural life.
For geographers, understanding the geographical spread of these cities and their respective regions is essential for studying spatial relationships, resource allocation, and infrastructure development. The differences between urban and rural areas, which are often marked by varying levels of economic activity and infrastructure development, are crucial for planning projects that aim to reduce inequality and improve access to services.
Obtaining detailed data on Haiti’s cities, regions, and departments allows researchers to analyze how these areas are interconnected. This data also helps in understanding regional disparities in terms of population density, economic resources, and vulnerability to natural disasters. For example, the capital, Port-au-Prince, is highly urbanized and densely populated, while regions like Artibonite or the North West are less developed and more rural.
The Importance of Latitude and Longitude Data
Latitude and longitude coordinates are key to accurately mapping cities, regions, and departments. In Haiti, where urbanization is uneven and natural hazards like earthquakes and hurricanes frequently impact the country, precise geographical data becomes essential for effective planning and resource management.
Having latitude and longitude data for each city allows geographers and urban planners to plot these cities on maps, analyze spatial patterns, and track changes over time. This geographic foundation supports a variety of applications, from transportation planning to disaster response. For example, accurate coordinates are vital for creating disaster evacuation routes or identifying regions most at risk of flooding and landslides.
Latitude and longitude also enable the integration of Haiti’s data into Geographic Information Systems (GIS), which can be used to visualize and analyze geographic patterns. Whether assessing the spread of disease, monitoring deforestation, or planning infrastructure projects, precise geographic coordinates enhance the accuracy and utility of these analyses.
Why Data Formats Matter: Flexibility for Analysis and Application
For geographic data to be truly useful, it must be accessible and compatible with various platforms and tools. This is where the importance of data formats like CSV, SQL, JSON, and XML comes in. Having Haiti's city, region, and department data in these formats makes it possible to integrate the information into a wide range of applications, from data analysis to web-based systems.
- **CSV (Comma-Separated Values)** is a straightforward and widely used format for organizing tabular data. It is ideal for storing basic city-level information such as population, area, or infrastructure statistics. Because CSV files can be easily imported into spreadsheet applications or data analysis tools, they are an excellent option for initial analysis or sharing data between users.
- **SQL (Structured Query Language)** is used for managing relational databases and querying large datasets. For geographers or urban planners working with extensive data, SQL allows for advanced querying and analysis. For example, SQL databases can store information about cities, regions, and departments, enabling users to filter, sort, and analyze this data efficiently.
- **JSON (JavaScript Object Notation)** is commonly used for web applications and APIs. It’s lightweight, flexible, and easy to parse, making it ideal for developers who need to build interactive applications or websites that display Haiti’s geographic data. JSON is particularly useful for dynamic mapping applications where users can interact with the data in real time.
- **XML (Extensible Markup Language)** is often used for hierarchical data representation and sharing between systems. XML is well-suited for structuring geographic data that includes nested relationships, such as cities within regions and departments. XML also facilitates data exchange across different platforms, making it easier to share Haiti's data among international research teams or governmental organizations.
Leveraging Geographic Data for Sustainable Development in Haiti
The geographic data of Haiti offers immense potential for improving the country’s infrastructure, resource management, and disaster resilience. For urban development, having precise data on cities, regions, and departments is essential for making informed decisions about where to build new infrastructure, which areas need investment in public services, and how to distribute resources efficiently.
For example, rural regions such as the Central Plateau or the South have historically lagged behind urban areas like Port-au-Prince in terms of access to basic services like healthcare, education, and transportation. Geographic data can help identify regions that need the most attention and assist in planning interventions that address regional disparities.
In terms of environmental management, Haiti is particularly vulnerable to the effects of climate change, including flooding, coastal erosion, and deforestation. Geographic data on the location and elevation of cities, combined with climate models, can help policymakers identify high-risk areas and implement measures to reduce the impact of these environmental hazards. For example, knowing which cities are located in flood-prone areas allows for better disaster preparedness and the implementation of flood control infrastructure.
Additionally, geographic data supports the monitoring and protection of Haiti’s natural resources. The country’s forests, rivers, and coastal areas are essential for biodiversity and economic activities like agriculture and fishing. By using geographic data to track changes in land use, forest cover, and water quality, researchers and policymakers can implement strategies to safeguard these critical resources.
Conclusion
Accessing detailed geographic data on Haiti’s cities, regions, and departments—including precise latitude and longitude coordinates—empowers researchers, planners, and policymakers to make informed decisions that can shape the country’s future. With data available in flexible formats like CSV, SQL, JSON, and XML, the opportunities for analysis and application are vast. From urban planning to environmental management and disaster response, geographic data is an indispensable tool for addressing Haiti’s development challenges and promoting a more sustainable and resilient future for the country.