Venezuela 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 Venezuela. Each row includes a city's latitude, longitude, region and other variables of interest. This is a subset of all 20304 places in Venezuela 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 Venezuela is Caracas.
Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
---|---|---|---|---|---|---|---|---|---|---|---|
3808146 | El Hicaco | VE | Bolívar | Bolivariano Angostura | 7.85389 | -63.21833 | 0 | America/Caracas | populated place | ||
3750945 | La Goya | VE | Falcón | Municipio Bolívar | 10.99437 | -69.70727 | 0 | America/Caracas | populated place | ||
3749486 | Tormes | VE | Sucre | 10.63111 | -63.965 | 0 | America/Caracas | populated place | |||
3796549 | Puerto Viejo | VE | Sucre | Municipio Arismendi | 10.72296 | -62.47693 | 0 | America/Caracas | populated place | ||
3631036 | Palmarito | VE | Barinas | Municipio Bolívar | 8.91444 | -70.41222 | 0 | America/Caracas | populated place | ||
3632059 | Monte Aventino | VE | Mérida | 9.04701 | -71.10349 | 0 | America/Caracas | populated place | |||
3640623 | Gavilán | VE | Guárico | Municipio Ortiz | 9.782 | -67.76803 | 0 | America/Caracas | populated place | ||
3637088 | La Montaña | VE | Mérida | Municipio Arzobispo Chacón | 8.16809 | -71.59812 | 0 | America/Caracas | populated place | ||
3649164 | Apiyaicupué | Apiyai-copue,Apiyai-copué,Apiyaicupue,Apiyaicupué | VE | Bolívar | Municipio Gran Sabana | 4.81667 | -61.11667 | 0 | America/Caracas | populated place | |
3627610 | Santa Ana | VE | Zulia | Municipio Sucre | 9.2099 | -71.1772 | 0 | America/Caracas | populated place | ||
3633887 | Los Mucos | VE | Anzoátegui | Municipio Simón Bolívar | 10 | -64.8 | 0 | America/Caracas | populated place | ||
3643422 | El Danto | VE | Guárico | Municipio José Félix Ribas | 9.67523 | -65.76002 | 0 | America/Caracas | populated place | ||
3642845 | El Limón | VE | Guárico | Municipio Ortiz | 9.28333 | -67.53333 | 0 | America/Caracas | populated place | ||
3808354 | Lucianera | VE | Bolívar | Municipio Cedeño | 7.26829 | -66.35974 | 0 | America/Caracas | populated place | ||
3804100 | Pueblo Nuevo | Pueblo Nuevo | VE | Miranda | Municipio Andrés Bello | 10.36178 | -66.02494 | 0 | America/Caracas | populated place | |
3786043 | Curuca | VE | Falcón | 10.09778 | -69.95 | 0 | America/Caracas | populated place | |||
3759363 | El Albarico | VE | Táchira | Municipio Junín | 7.73228 | -72.31879 | 0 | America/Caracas | populated place | ||
3628139 | San José del Cerro | VE | Portuguesa | Municipio Ospino | 9.38333 | -69.5 | 0 | America/Caracas | populated place | ||
3635329 | Las Tejas | VE | Cojedes | Municipio Tinaco | 9.71173 | -68.34344 | 0 | America/Caracas | populated place | ||
3627750 | San Rafael | VE | Barinas | Municipio Pedraza | 8.48333 | -70.73333 | 0 | America/Caracas | populated place | ||
3635839 | Las Lajas | VE | Guárico | Municipio Francisco de Miranda | 9.19172 | -67.43395 | 0 | America/Caracas | populated place | ||
3778050 | Medrano | VE | Monagas | Municipio Aguasay | 9.32539 | -63.47096 | 0 | America/Caracas | populated place | ||
3767771 | La Loma | VE | Lara | 10.46231 | -70.51358 | 0 | America/Caracas | populated place | |||
3749672 | Buena Vista | VE | Lara | Municipio Torres | 10.01934 | -69.91404 | 0 | America/Caracas | populated place | ||
3753644 | La Cañada | VE | Mérida | Municipio Sucre | 8.55541 | -71.40214 | 0 | America/Caracas | populated place | ||
3646595 | Cardoncito | VE | Aragua | Municipio Urdaneta | 9.40285 | -66.60351 | 0 | America/Caracas | populated place | ||
3636018 | Las Deseas | VE | Sucre | Municipio Montes | 10.15472 | -64.0567 | 0 | America/Caracas | populated place | ||
3628315 | San Isidro | VE | Bolívar | Municipio Cedeño | 7.53622 | -65.24312 | 0 | America/Caracas | populated place | ||
3647230 | Campo Alegre | VE | Falcón | Municipio Falcón | 11.91667 | -69.95 | 0 | America/Caracas | populated place | ||
3633326 | Majagual | Majagua,Majagual | VE | Zulia | 10.15 | -71.88333 | 0 | America/Caracas | populated place | ||
3766145 | El Candado | VE | Falcón | Municipio Colina | 11.29271 | -69.48622 | 0 | America/Caracas | populated place | ||
3806457 | La Horqueta | VE | Aragua | Municipio Santos Michelena | 10.18932 | -67.14146 | 0 | America/Caracas | populated place | ||
3746659 | La Esperanza | VE | Portuguesa | Municipio Agua Blanca | 9.60278 | -69.04056 | 0 | America/Caracas | populated place | ||
3638943 | La Arenosa | VE | Apure | Municipio San Fernando | 7.48333 | -67 | 0 | America/Caracas | populated place | ||
3778023 | La Marinera | VE | Monagas | Municipio Aguasay | 9.20556 | -63.38556 | 0 | America/Caracas | populated place | ||
3767773 | La Loma | VE | Lara | Municipio Andrés Eloy Blanco | 9.76833 | -69.62889 | 0 | America/Caracas | populated place | ||
3785903 | La Cieneguita | VE | Falcón | Municipio Urumaco | 10.89122 | -70.35926 | 0 | America/Caracas | populated place | ||
3777960 | Laguna de Cerro Negro | VE | Monagas | Municipio Acosta | 10.20186 | -63.64542 | 0 | America/Caracas | populated place | ||
3647734 | Buen Paso | VE | Aragua | Municipio José Rafael Revenga | 10.28602 | -67.22577 | 0 | America/Caracas | populated place | ||
3633045 | Mapurita | VE | Falcón | Municipio Sucre | 11.08333 | -69.75 | 0 | America/Caracas | populated place | ||
3798256 | La Marinera | La Marinera | VE | Portuguesa | Municipio Esteller | 9.30818 | -69.22314 | 0 | America/Caracas | populated place | |
3642597 | El Merey | VE | Anzoátegui | Municipio Fernando de Peñalver | 9.84621 | -64.95881 | 0 | America/Caracas | populated place | ||
3481785 | Barrancones | VE | Carabobo | 9.95833 | -66.91722 | 0 | America/Caracas | populated place | |||
3755998 | Guayabero | VE | Sucre | Municipio Arismendi | 10.68837 | -63.08975 | 0 | America/Caracas | populated place | ||
3767083 | El Buco | VE | Lara | Municipio Torres | 10.04577 | -70.20155 | 0 | America/Caracas | populated place | ||
3649739 | Agua Blanca | VE | Yaracuy | Municipio Veroes | 10.52396 | -68.55517 | 0 | America/Caracas | populated place | ||
3647837 | Buena Vista | VE | Aragua | Municipio Urdaneta | 9.51667 | -66.66667 | 0 | America/Caracas | populated place | ||
3643435 | El Cumbre | VE | Zulia | Municipio Santa Rita | 10.56667 | -71.43333 | 0 | America/Caracas | populated place | ||
3626316 | Terronal | VE | Cojedes | 9.78333 | -67.76667 | 0 | America/Caracas | populated place | |||
3643559 | El Copel | VE | Bolívar | Municipio Roscio | 7.28333 | -62.11667 | 0 | America/Caracas | populated place | ||
3767459 | Corozal | VE | Lara | Municipio Torres | 9.86875 | -70.1226 | 0 | America/Caracas | populated place | ||
3807169 | Boca de Tacuragua | VE | Bolívar | Municipio Cedeño | 7.81528 | -65.33329 | 0 | America/Caracas | populated place | ||
3629773 | Pueblo Nuevo | VE | Yaracuy | Municipio Bolívar | 10.46667 | -68.88333 | 0 | America/Caracas | populated place | ||
3643320 | El Encanto | VE | Miranda | Municipio Guaicaipuro | 10.3 | -67.08333 | 0 | America/Caracas | populated place | ||
3635673 | Las Minas | VE | Anzoátegui | Municipio Simón Bolívar | 10.0435 | -64.33608 | 0 | America/Caracas | populated place | ||
3647580 | Cachipo | VE | Guárico | Municipio Leonardo Infante | 9.23333 | -65.9 | 0 | America/Caracas | populated place | ||
3641339 | El Tigre | El Tigre,Tigre | VE | Carabobo | 10.15 | -68.41667 | 0 | America/Caracas | populated place | ||
3646911 | Caño Seco | VE | Apure | Municipio Achaguas | 7.66667 | -67.93333 | 0 | America/Caracas | populated place | ||
3627991 | San Manuel | VE | Anzoátegui | Municipio José Gregorio Monagas | 8.33651 | -64.47844 | 0 | America/Caracas | populated place | ||
3639770 | Güere | VE | Anzoátegui | Municipio Píritu | 9.83634 | -65.10524 | 0 | America/Caracas | populated place | ||
3758740 | Pata de Gallina | VE | Táchira | Municipio Junín | 7.6483 | -72.34333 | 0 | America/Caracas | populated place | ||
3643535 | El Corozo | VE | Barinas | Municipio Sosa | 8 | -68.9 | 0 | America/Caracas | populated place | ||
3647660 | Cabeza de Tigre | VE | Anzoátegui | Municipio Aragua | 9.57269 | -64.64751 | 0 | America/Caracas | populated place | ||
3633538 | Macagua | VE | Yaracuy | Municipio San Felipe | 10.41157 | -68.68313 | 0 | America/Caracas | populated place | ||
3644568 | Damuncito | VE | Apure | Municipio Pedro Camejo | 7.66667 | -67.58333 | 0 | America/Caracas | populated place | ||
3628535 | San Bartolo | VE | Anzoátegui | Municipio Francisco de Miranda | 8.78333 | -64.5 | 0 | America/Caracas | populated place | ||
3633138 | Manirito | VE | Guárico | Municipio Francisco de Miranda | 8.4975 | -67.42417 | 0 | America/Caracas | populated place | ||
3633598 | Los Tres Hermanos | VE | Monagas | Municipio Maturín | 9.41933 | -63.25432 | 0 | America/Caracas | populated place | ||
3641713 | El Rincón | VE | Cojedes | Municipio Lima Blanco | 9.81667 | -68.45 | 0 | America/Caracas | populated place | ||
3630129 | Pinta Nueva | VE | Bolívar | Municipio Piar | 7 | -62.4 | 0 | America/Caracas | populated place | ||
3628632 | San Antonio | VE | Trujillo | Municipio Andrés Bello | 9.61855 | -70.72806 | 0 | America/Caracas | populated place | ||
3637273 | La Majada | VE | Guárico | Municipio Ortiz | 9.41667 | -67.6 | 0 | America/Caracas | populated place | ||
3639371 | Inglaterra | Engleterra,Inglaterra | VE | Apure | Municipio San Fernando | 7.86667 | -67.45 | 0 | America/Caracas | populated place | |
3626084 | Torrealbero | Torrealbero,Torrealpero | VE | Apure | Municipio Pedro Camejo | 7.41667 | -67.55 | 0 | America/Caracas | populated place | |
3763087 | El Borobollón | VE | Delta Amacuro | Municipio Antonio Díaz | 9.2025 | -61.02471 | 0 | America/Caracas | populated place | ||
3640082 | Guarataro | VE | Bolívar | Municipio Sucre | 7.44441 | -64.80381 | 0 | America/Caracas | populated place | ||
3746596 | La Cachicama | VE | Lara | Municipio Urdaneta | 10.65726 | -69.09018 | 0 | America/Caracas | populated place | ||
3630258 | Picure | VE | Barinas | Municipio Rojas | 8.23333 | -69.55 | 0 | America/Caracas | populated place | ||
3749288 | Candelaria | Candelaria,La Candelaria | VE | Sucre | Municipio Bolívar | 10.41167 | -63.92778 | 0 | America/Caracas | populated place | |
3629931 | Posch | VE | Zulia | Municipio Guajira | 11.66667 | -71.71667 | 0 | America/Caracas | populated place | ||
3481533 | Morrocoy | VE | Carabobo | Municipio Valencia | 9.83901 | -67.96297 | 0 | America/Caracas | populated place | ||
3643181 | El Granadillo | VE | Guárico | Municipio San José de Guaribe | 9.92333 | -65.865 | 0 | America/Caracas | populated place | ||
3797269 | Monte Carmelo | VE | Mérida | Municipio Antonio Pinto Salinas | 8.46037 | -71.58889 | 0 | America/Caracas | populated place | ||
3796417 | Patucutal | VE | Sucre | Municipio Arismendi | 10.66016 | -63.0901 | 0 | America/Caracas | populated place | ||
3627682 | San Rafael de Imataca | VE | Bolívar | Municipio Sifontes | 7.58333 | -61.43333 | 0 | America/Caracas | populated place | ||
3635381 | Las Queseritas | VE | Vargas | 10.53333 | -66.9 | 0 | America/Caracas | populated place | |||
3755235 | Pozo Negro | VE | Falcón | Municipio Petit | 10.94015 | -69.46484 | 0 | America/Caracas | populated place | ||
3753232 | Cueva de Ratón | VE | Carabobo | Municipio Carlos Arvelo | 10.1013 | -67.66055 | 0 | America/Caracas | populated place | ||
3642911 | El Jobo | VE | Falcón | Municipio Democracia | 10.94807 | -70.15778 | 0 | America/Caracas | populated place | ||
3766006 | Barlovento | Barlovento | VE | Falcón | Municipio Carirubana | 11.79507 | -69.95475 | 0 | America/Caracas | populated place | |
3644268 | El Arbolito | VE | Monagas | Municipio Maturín | 9.37482 | -63.35751 | 0 | America/Caracas | populated place | ||
3640109 | Guarapiche | VE | Monagas | Municipio Cedeño | 9.99461 | -63.67385 | 0 | America/Caracas | populated place | ||
3628030 | San Lorenzo | VE | Zulia | Municipio Sucre | 9.26667 | -70.95 | 0 | America/Caracas | populated place | ||
3644206 | El Banco | VE | Aragua | Municipio Zamora | 10.01667 | -67.46667 | 0 | America/Caracas | populated place | ||
3637068 | La Montilla | VE | Falcón | Municipio Zamora | 11.2 | -69.25 | 0 | America/Caracas | populated place | ||
3756130 | Niña | VE | Amazonas | Municipio Autónomo Autana | 4.92402 | -67.65883 | 0 | America/Caracas | populated place | ||
3627403 | Santa Elena | Santa Elena | VE | Miranda | Municipio Acevedo | 10.20135 | -66.07898 | 0 | America/Caracas | populated place | |
3808848 | El Pauji | VE | Bolívar | Municipio Gran Sabana | 4.47556 | -61.59056 | 0 | America/Caracas | populated place | ||
3768102 | El Parchal | VE | Lara | Municipio Morán | 9.53 | -70.025 | 0 | America/Caracas | populated place | ||
3647769 | Buenos Aires | VE | Guárico | Municipio Pedro Zaraza | 9.0015 | -64.96852 | 0 | America/Caracas | populated place |
**Exploring the Dynamic Geography of Venezuela: Insights from a Geographer**
Nestled along the northern coast of South America, Venezuela is a country of remarkable geographical diversity, characterized by lush rainforests, towering mountains, and pristine Caribbean coastline. As a geographer immersed in the exploration of this Latin American nation, the quest for data regarding its cities, regions, and geographical coordinates offers a fascinating journey through geography, culture, and human settlement patterns.
Tracing the Urban Landscape**
Venezuela's urban fabric is a testament to its rich history and vibrant culture, with cities and towns that reflect a blend of colonial heritage and contemporary dynamism. From the bustling metropolis of Caracas, nestled in a valley surrounded by the majestic Avila Mountain, to the colonial charm of Mérida, cradled in the Andean foothills, each urban center offers a unique glimpse into Venezuela's diverse cultural tapestry. For a geographer, obtaining comprehensive data on Venezuela's cities, including their regions and departments, is akin to unraveling the layers of urbanization and spatial organization in this dynamic nation.
Mapping the States and Municipalities**
Venezuela is divided into 23 states, each comprising several municipalities that govern local affairs and services. From the agricultural plains of Apure to the Amazon rainforests of Amazonas, each state boasts its own distinct geographical features and cultural traditions. The quest for data extends beyond numerical coordinates, delving into the nuances of regional governance, economic development, and social cohesion across Venezuela's administrative landscape.
Navigating Latitude and Longitude**
In the pursuit of geographical understanding, latitude and longitude serve as essential tools for mapping Venezuela's cities and towns. From the northern port city of Maracaibo, situated on the shores of Lake Maracaibo, to the southern town of Ciudad Bolivar, perched on the banks of the Orinoco River, each urban center's geographical coordinates offer insights into its climatic conditions, topographical features, and strategic importance. For a geographer, acquiring accurate latitude and longitude data is crucial for analyzing spatial patterns and understanding the relationships between different settlements within Venezuela.
Exploring Environmental Diversity**
Beyond the urban centers and administrative boundaries, Venezuela's landscape is a mosaic of diverse ecosystems, from dense tropical rainforests and vast savannas to pristine coastal mangroves and coral reefs. The country's natural beauty is matched only by its ecological significance, with a wealth of biodiversity that supports livelihoods and sustains communities. As a geographer, the quest for data extends beyond city limits, encompassing the intricate web of ecosystems, land use patterns, and environmental conservation efforts that define Venezuela's identity.
Conclusion: Unveiling Venezuela's Geographic Tapestry**
In the tapestry of Venezuela's geography, the quest for data serves as a compass, guiding geographers through a landscape shaped by centuries of natural processes and human intervention. From the urban centers to the remote wilderness, each city and town holds a piece of the puzzle, waiting to be discovered and understood. As we unravel Venezuela's geographic tapestry, let us not only seek coordinates on a map but also embrace the rich diversity of culture, history, and natural beauty that define this dynamic South American nation.
Download data files for Venezuela's cities in CSV, SQL, XML and JSON formats
Unveiling Venezuela: A Geographer’s Exploration of City-Level Data
Venezuela, a country situated in the northern part of South America, is known for its vast landscapes that span from the towering Andes mountains to the expansive Amazon rainforest and the tropical Caribbean coast. With a wealth of diverse ecosystems, climatic zones, and unique regional distinctions, Venezuela presents a complex yet fascinating geographical study. For geographers, urban planners, and researchers, understanding the country's cities, regions, and departments through precise data is essential. This article explores the value of geographic data in Venezuela and highlights how obtaining city-level data—including latitude, longitude, regions, and departments—can provide invaluable insights. Additionally, we’ll explore how this data can be easily accessed in formats like CSV, SQL, JSON, and XML to enhance research, development, and planning projects.
The Geographic Diversity of Venezuela
Venezuela's geography is characterized by an incredible variety of landforms, climate zones, and natural resources. The country is divided into four primary geographic regions: the Andes, the Central Plains, the Llanos (tropical grasslands), and the Coastal Range. Additionally, the dense Amazon rainforest in the south and the Caribbean coastline provide Venezuela with a wealth of biodiversity and ecosystems that make it an ecological treasure trove.
The country’s capital, Caracas, lies in a valley surrounded by mountains, offering both strategic significance and unique challenges in urban planning. Other major cities such as Maracaibo, Valencia, and Barquisimeto each have their own distinct geography, influenced by their location in relation to Venezuela’s various geographic features. Understanding the distribution and geography of these cities is crucial to making informed decisions regarding resource management, infrastructure development, and environmental conservation.
Venezuela’s administrative structure is divided into states and municipalities, which in turn contain regions and departments. Mapping these divisions and their respective cities provides insight into how governance and urbanization are structured across the country.
The Importance of City-Level Geographic Data in Venezuela
City-level geographic data is essential for understanding the spatial dynamics of Venezuela’s urban and rural areas. With cities located in a variety of geographic regions, from the lowland plains of the Llanos to the mountainous Andes, their characteristics and infrastructural needs can vary greatly.
By obtaining data on the exact locations of Venezuela’s cities, along with their regional and departmental affiliations, we can begin to understand how population densities, resource distribution, and infrastructure are spread across the country. For instance, Caracas, with its higher population density, faces different challenges than the more rural cities scattered across the vast plains.
Geographic data—such as the latitude and longitude coordinates of each city—offers a crucial tool for mapping and analyzing the country’s urban and rural landscapes. These coordinates provide accurate locations for each city, enabling a wide variety of geographical analyses, from transportation network modeling to environmental impact studies.
Accessing City-Level Data for Venezuela
To fully understand Venezuela's geographical and administrative landscape, obtaining detailed data on the cities is indispensable. City-level data includes not only the cities’ geographic coordinates but also important information about their regional divisions, departments, and municipal boundaries. Having access to this data allows for in-depth analysis of the country’s urban growth, infrastructure development, and resource allocation.
Obtaining geographic data in formats like CSV, SQL, JSON, and XML provides flexibility for researchers, analysts, and urban planners to work with the data in various ways. These formats allow for easy integration of the data into existing systems, spreadsheets, or GIS platforms, facilitating further analysis and decision-making.
Formats for Geographic Data: CSV, SQL, JSON, and XML
Each of the four data formats—CSV, SQL, JSON, and XML—offers unique advantages depending on the type of project or analysis being conducted.
- **CSV (Comma Separated Values):** CSV is a simple and easy-to-use format that is ideal for importing data into spreadsheets for basic analysis and visualization. It is widely compatible with many software applications, making it a versatile choice for organizing geographic data such as city names, population data, and geographic coordinates.
- **SQL (Structured Query Language):** SQL is a powerful tool for managing large datasets stored in relational databases. It allows users to perform complex queries on geographic data, making it particularly useful for those looking to analyze city-level data at scale. SQL is perfect for data-heavy projects that require efficient searching, filtering, and reporting.
- **JSON (JavaScript Object Notation):** JSON is commonly used in web applications and APIs due to its lightweight, human-readable structure. It is an ideal format for developers working with geographic data in digital applications, providing a flexible way to store and transmit location-based information.
- **XML (eXtensible Markup Language):** XML is a hierarchical, structured data format that is used for data exchange between different systems. It is useful for working with more complex datasets, particularly those that require a nested or detailed structure. XML is commonly used in geographic information systems (GIS) and other data-heavy platforms.
Each format offers distinct advantages depending on the project requirements, whether you are conducting high-level analysis, building geographic software, or simply organizing city-level data.
Why Geographic Data is Crucial for Understanding Venezuela
Geographic data is vital for anyone interested in understanding Venezuela’s urbanization, resource management, and infrastructure needs. By analyzing data on the cities, regions, and departments, researchers can identify areas of growth, environmental risks, and infrastructure gaps. For instance, understanding the relationship between the capital, Caracas, and its surrounding cities can help planners address urban sprawl, while data on cities in more remote regions can inform policies related to rural development.
Additionally, accurate geographic data allows for better environmental management. With the country’s diverse ecosystems, including the Amazon rainforest and the Andes mountains, geographic data can help monitor deforestation, biodiversity, and climate change impacts. Having precise geographic coordinates for each city enables policymakers and scientists to track environmental changes more effectively.
Enhancing Projects with Venezuela’s Geographic Data
Whether you are involved in urban planning, environmental research, or software development, geographic data on Venezuela’s cities can significantly enhance your work. Having access to detailed data on cities, including their geographic coordinates and departmental breakdowns, provides the foundation for creating models, visualizations, and decision-support tools that improve understanding and planning.
By obtaining geographic data in formats like CSV, SQL, JSON, and XML, you can tailor the data to your specific needs. Whether you're building a GIS platform, conducting a spatial analysis, or creating applications that require real-time location data, these flexible formats ensure that you can easily integrate the information into your workflow.
Conclusion
Venezuela, with its diverse geography and complex administrative structure, offers a wealth of opportunities for geographic analysis. Obtaining detailed data on the country’s cities, regions, and departments—including their geographic coordinates—provides a comprehensive view of the country’s spatial dynamics. Accessing this data in formats such as CSV, SQL, JSON, and XML ensures that it can be easily integrated into a variety of systems and projects, whether for research, planning, or software development. With accurate geographic data, you can gain deeper insights into Venezuela’s urbanization, resource management, and environmental challenges, ultimately contributing to more informed decision-making and effective solutions.