Bolivia cities list with latitude and longitude in Excel, CSV, XML, SQL, JSON formats
Last update : 20 January 2026.
Below is a list of 100 prominent cities in Bolivia. Each row includes a city's latitude, longitude, region and other variables of interest. This is a subset of all 25131 places in Bolivia 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 Excel (.xlsx), .csv, .json, .xml and .sql formats. Notable Cities: The capital of Bolivia is Sucre.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 3913636 | Jankho Jaque | BO | La Paz Department | -15.6 | -67.95 | 0 | America/La_Paz | populated place | |||
| 12511949 | Flor de Primavera | Flor de Primavera | BO | Beni Department | -14.45203 | -67.3564 | 0 | America/La_Paz | populated place | ||
| 12498148 | San Pedro de Tana | San Pedro de Tana | BO | La Paz Department | -16.67887 | -68.94206 | 0 | America/La_Paz | populated place | ||
| 3913254 | Juan Latino | Juan Latino | BO | Santa Cruz Department | Provincia Warnes | -17.44473 | -63.22029 | 0 | America/La_Paz | populated place | |
| 3916107 | Turuyuc | Estancia Thuruyuj,Turuyuc | BO | Potosí Department | -20.48656 | -65.48073 | 0 | America/La_Paz | populated place | ||
| 3910375 | Milluni Bajo | Hacienda Milluni Bajo,Milluni Bajo | BO | La Paz Department | -16.43661 | -68.22346 | 0 | America/La_Paz | populated place | ||
| 3917204 | Estancia Huaña Kkota | BO | Cochabamba | -17.23333 | -66.81667 | 0 | America/La_Paz | populated place | |||
| 3902359 | Triunfo | BO | Potosí Department | -21.33579 | -67.46273 | 0 | America/La_Paz | populated place | |||
| 3912328 | La Cruz | BO | Pando | -11.42178 | -67.22519 | 0 | America/La_Paz | populated place | |||
| 12525659 | Jarcas | Jarcas | BO | Tarija Department | -21.28607 | -64.50202 | 0 | America/La_Paz | populated place | ||
| 12525634 | Santa Rosa | Santa Rosa | BO | Chuquisaca Department | -21.3205 | -65.22439 | 0 | America/La_Paz | populated place | ||
| 12499520 | Glorieta | Glorieta | BO | La Paz Department | -16.09683 | -67.78252 | 0 | America/La_Paz | populated place | ||
| 11498780 | Comunidad Mulata | Comunidad Mulata | BO | Pando | -11.36985 | -68.80563 | 0 | America/La_Paz | populated place | ||
| 12499526 | Poco Poco | Poco Poco | BO | La Paz Department | -16.07482 | -68.83996 | 0 | America/La_Paz | populated place | ||
| 3906514 | Relaves | Relave,Relaves | BO | Potosí Department | -21.7 | -66.73333 | 0 | America/La_Paz | populated place | ||
| 12520900 | Monterey | Monterey | BO | Santa Cruz Department | -17.25368 | -62.57832 | 0 | America/La_Paz | populated place | ||
| 12505968 | Villa Verde | Villa Verde | BO | Santa Cruz Department | -17.73626 | -64.7422 | 0 | America/La_Paz | populated place | ||
| 3916565 | Estancia Pajcha | BO | Potosí Department | -20.50031 | -65.60094 | 0 | America/La_Paz | populated place | |||
| 3907198 | Puerto Potosí | BO | Tarija Department | -21.36667 | -62.6 | 0 | America/La_Paz | populated place | |||
| 12482427 | Buena Vista | Buena Vista | BO | Beni Department | -11.09626 | -66.11459 | 0 | America/La_Paz | populated place | ||
| 3915085 | Huacanapi | Huacanapi,Huancanapi | BO | Oruro | -17.86035 | -68.0395 | 0 | America/La_Paz | populated place | ||
| 12517264 | Titihuichinca | Titihuichinca | BO | La Paz Department | -16.9028 | -67.24093 | 0 | America/La_Paz | populated place | ||
| 12483017 | Bajo Virtudes | Bajo Virtudes | BO | Pando | -11.04879 | -68.89354 | 0 | America/La_Paz | populated place | ||
| 12528912 | Parina Arriba | Parina Arriba | BO | La Paz Department | -16.81609 | -68.80384 | 0 | America/La_Paz | populated place | ||
| 12504884 | Sindicato Agrario Quince de Agosto | Sindicato Agrario 15 de Agosto,Sindicato Agrario Quince de Agosto | BO | Santa Cruz Department | -17.49208 | -64.05995 | 0 | America/La_Paz | populated place | ||
| 3923310 | Barranco Ibare | Barranca Ibari,Barranco Ibare | BO | Santa Cruz Department | -16.6 | -63.81667 | 0 | America/La_Paz | populated place | ||
| 12520808 | Colonia Menonita Yanahigua | Colonia Menonita Yanahigua | BO | Santa Cruz Department | -17.03127 | -62.33201 | 0 | America/La_Paz | populated place | ||
| 3914202 | Independencia | BO | Pando | -11.93333 | -68.01667 | 0 | America/La_Paz | populated place | |||
| 12517268 | Larimarka | Larimarka | BO | Cochabamba | -16.94515 | -66.94951 | 0 | America/La_Paz | populated place | ||
| 12521734 | Pequeños Productores el Curichi | Pequenos Productores el Curichi,Pequeños Productores el Curichi | BO | Santa Cruz Department | -16.76774 | -62.95342 | 0 | America/La_Paz | populated place | ||
| 12504517 | La de la Laguna | La de la Laguna | BO | Cochabamba | -16.84496 | -64.80659 | 0 | America/La_Paz | populated place | ||
| 3916208 | Surmajchi | Estancia Sor Majchi,Surmajchi | BO | Potosí Department | -20.29822 | -65.3406 | 0 | America/La_Paz | populated place | ||
| 12518684 | Huanchaca | Huanchaca | BO | Potosí Department | -18.0945 | -66.54467 | 0 | America/La_Paz | populated place | ||
| 3914148 | Inquisivi | Inquisivi | BO | La Paz Department | -16.92002 | -67.17346 | 0 | America/La_Paz | populated place | ||
| 3924199 | Alpacoma | BO | La Paz Department | -16.6 | -68.18333 | 0 | America/La_Paz | populated place | |||
| 3903937 | Sumpita | BO | Potosí Department | -19.19519 | -66.08826 | 0 | America/La_Paz | populated place | |||
| 12482672 | Tres Estrellas | Tres Estrellas | BO | Pando | -10.95353 | -66.43892 | 0 | America/La_Paz | populated place | ||
| 3916825 | Estancia Lacuta | BO | La Paz Department | -17.61667 | -69.31667 | 0 | America/La_Paz | populated place | |||
| 3909321 | Opoco | BO | Potosí Department | -19.83333 | -66.7 | 0 | America/La_Paz | populated place | |||
| 3919641 | Chissi | Chise,Chissi,Comunidad Chisi | BO | La Paz Department | -16.15031 | -68.98389 | 0 | America/La_Paz | populated place | ||
| 12516790 | Palcoma | Palcoma | BO | Cochabamba | -17.59342 | -66.67736 | 0 | America/La_Paz | populated place | ||
| 12512086 | Arenales | Arenales | BO | Beni Department | -15.02732 | -67.11728 | 0 | America/La_Paz | populated place | ||
| 3903342 | Tarata | Tarata | BO | Cochabamba | -17.60898 | -66.02135 | 8043 | America/La_Paz | populated place | ||
| 12521412 | Flor del Valle | Flor del Valle | BO | Santa Cruz Department | -16.58239 | -63.00368 | 0 | America/La_Paz | populated place | ||
| 12499325 | Chiarhuyo | Chiarhuyo | BO | La Paz Department | -16.46144 | -68.3828 | 0 | America/La_Paz | populated place | ||
| 3921841 | Cascajal | BO | Beni Department | -12.21667 | -65.21667 | 0 | America/La_Paz | populated place | |||
| 11508118 | El Escondido | El Escondido | BO | Pando | -10.53552 | -67.36835 | 0 | America/La_Paz | populated place | ||
| 3919607 | El Carmen | Comunidad El Carmen,El Carmen | BO | Santa Cruz Department | -17.10054 | -63.00363 | 0 | America/La_Paz | populated place | ||
| 3915672 | Fuerte Grande | Fuerte Grande | BO | Tarija Department | -21.85503 | -64.63142 | 0 | America/La_Paz | populated place | ||
| 3911427 | Llachu | Estancia Llacho,Llachu,Luchu | BO | Oruro | -18.35888 | -68.21068 | 0 | America/La_Paz | populated place | ||
| 3917669 | Cachi Cachi | Cachi Cachi,Estancia Cachi Cachi | BO | Oruro | -17.92803 | -66.89957 | 0 | America/La_Paz | populated place | ||
| 3905538 | San José del Eslabonal | BO | Chuquisaca Department | -19.88333 | -63.93333 | 0 | America/La_Paz | populated place | |||
| 3911964 | Parotani | Comunidad Parotani,Lankayani,Parotani | BO | La Paz Department | -17.20977 | -66.91558 | 0 | America/La_Paz | populated place | ||
| 3905959 | Sama | Cuesta Sama,Sama,Tambo Sama | BO | Tarija Department | -21.48333 | -65.03333 | 0 | America/La_Paz | populated place | ||
| 3901559 | Caiza J | Cainza,Caiza,Caiza J,Ingavi,Villa Ingavi | BO | Tarija Department | -21.79968 | -63.55668 | 0 | America/La_Paz | populated place | ||
| 11760188 | Pajan | Pajan | BO | La Paz Department | -15.14068 | -68.90892 | 0 | America/La_Paz | populated place | ||
| 11751595 | Alajchi | BO | La Paz Department | -15.52409 | -68.81334 | 0 | America/La_Paz | populated place | |||
| 3919618 | Corralito Guarrio | Comunidad Corralito,Corralito Guarrio | BO | Santa Cruz Department | -16.68644 | -60.91489 | 0 | America/La_Paz | populated place | ||
| 3923896 | Andamarca | Andamarca,Antamarca,Comunidad Andamarca | BO | La Paz Department | -16.60768 | -68.74238 | 0 | America/La_Paz | populated place | ||
| 3917240 | Estancia Galdera | BO | Chuquisaca Department | -20.87593 | -64.73177 | 0 | America/La_Paz | populated place | |||
| 12518032 | San Geronimo | San Geronimo | BO | Chuquisaca Department | -18.82776 | -64.62884 | 0 | America/La_Paz | populated place | ||
| 3911072 | Los Troncos | BO | Santa Cruz Department | -16.68333 | -61.95 | 0 | America/La_Paz | populated place | |||
| 3913345 | Jihuacuta | Estancia Jihua Kkota,Jihuacuta | BO | La Paz Department | -16.85 | -68.66667 | 0 | America/La_Paz | populated place | ||
| 3909294 | Orcoma | BO | Cochabamba | -17.73333 | -66.35 | 0 | America/La_Paz | populated place | |||
| 3910851 | Malpaso | BO | Potosí Department | -21.78333 | -66.08333 | 0 | America/La_Paz | populated place | |||
| 11502935 | San Pedro | San Pedro | BO | Pando | -11.46664 | -68.11402 | 0 | America/La_Paz | populated place | ||
| 11525109 | San Ramón | SRD | BO | Beni Department | -13.2652 | -64.61575 | 0 | America/La_Paz | populated place | ||
| 3909543 | Ñequere | BO | Oruro | -18.63333 | -68.21667 | 0 | America/La_Paz | populated place | |||
| 3910729 | Maravillas | BO | La Paz Department | -13.8 | -68.23333 | 0 | America/La_Paz | populated place | |||
| 3922270 | Canchas Blancas | BO | Chuquisaca Department | -20.03333 | -64.8 | 0 | America/La_Paz | populated place | |||
| 12529227 | Cruz Pampa | Cruz Pampa | BO | Potosí Department | -21.02258 | -65.57286 | 0 | America/La_Paz | populated place | ||
| 12544422 | Alto Yaraque | Alto Yaraque | BO | Oruro | -17.98935 | -68.26267 | 0 | America/La_Paz | populated place | ||
| 11503788 | Guadalajara | Guadalajara | BO | Pando | -11.93271 | -68.0607 | 0 | America/La_Paz | populated place | ||
| 3924519 | Agua Blanca | Agua Blanca,Aguo Blanca | BO | Pando | -10.3 | -66.25 | 0 | America/La_Paz | populated place | ||
| 3921984 | Carca | Carca,Caroa | BO | Cochabamba | -17.68333 | -66.55 | 0 | America/La_Paz | populated place | ||
| 12522493 | Naciones Unidas | Naciones Unidas | BO | Santa Cruz Department | -17.33698 | -62.51153 | 0 | America/La_Paz | populated place | ||
| 3921261 | Chañar | BO | Tarija Department | -21.86164 | -65.39207 | 0 | America/La_Paz | populated place | |||
| 3966576 | Estancia Chulmani | BO | Oruro | -18.90278 | -68.5329 | 0 | America/La_Paz | populated place | |||
| 12518038 | Huayra Huasi | Huayra Huasi | BO | Chuquisaca Department | -19.44133 | -64.13321 | 0 | America/La_Paz | populated place | ||
| 12517984 | Yunguillas | Yunguillas | BO | Chuquisaca Department | -18.82001 | -64.36159 | 0 | America/La_Paz | populated place | ||
| 3911661 | Santiago de Laurani | Laurani,Santiago de Laurani | BO | La Paz Department | -17.38386 | -67.79236 | 0 | America/La_Paz | populated place | ||
| 3924088 | Amboró | Amboro,Amboro Nuevo,Amboró,Huevo | BO | Santa Cruz Department | -19.74769 | -62.6616 | 0 | America/La_Paz | populated place | ||
| 12532299 | Pinos Norte | Pinos Norte | BO | Tarija Department | -21.69685 | -64.86356 | 0 | America/La_Paz | populated place | ||
| 12522497 | Río Colorado | Rio Colorado,Río Colorado | BO | Santa Cruz Department | -17.56863 | -63.55223 | 0 | America/La_Paz | populated place | ||
| 3915901 | Estancia Yahualani | BO | Potosí Department | -19.85237 | -65.49274 | 0 | America/La_Paz | populated place | |||
| 11438615 | Valgame Dios | BO | Pando | -10.96678 | -69.39441 | 0 | America/La_Paz | populated place | |||
| 3901486 | Villque | Estancia Villque,Villque | BO | Potosí Department | -20.93333 | -66.65 | 0 | America/La_Paz | populated place | ||
| 3904777 | Santa Rosa | BO | Santa Cruz Department | -16.88446 | -61.79243 | 0 | America/La_Paz | populated place | |||
| 3917702 | Estancia Belén | BO | La Paz Department | -17.2 | -67.15 | 0 | America/La_Paz | populated place | |||
| 12504285 | San Marcos | San Marcos | BO | Cochabamba | -17.10375 | -64.96528 | 0 | America/La_Paz | populated place | ||
| 12516867 | Jalaqueri | Jalaqueri | BO | Cochabamba | -17.50252 | -66.66017 | 0 | America/La_Paz | populated place | ||
| 12499955 | Suntia Común | Suntia Comun,Suntia Común | BO | La Paz Department | -16.04572 | -68.66464 | 0 | America/La_Paz | populated place | ||
| 3905089 | San Ramón | BO | Beni Department | -13.28333 | -64.28333 | 0 | America/La_Paz | populated place | |||
| 12498101 | Chasacota | Chasacota | BO | La Paz Department | -16.52694 | -68.55563 | 0 | America/La_Paz | populated place | ||
| 3904255 | Silva Pata | BO | La Paz Department | -15.41667 | -68.11667 | 0 | America/La_Paz | populated place | |||
| 3921960 | Caricoya | BO | Potosí Department | -21.16667 | -65.68333 | 0 | America/La_Paz | populated place | |||
| 3905542 | San José de Chiquitos | SJS,San Jose,San Jose de Chiquitos,San José,San José de Chiquitos | BO | Santa Cruz Department | -17.84615 | -60.74204 | 0 | America/La_Paz | populated place | ||
| 12525690 | Cadillar | Cadillar | BO | Tarija Department | -21.49893 | -64.77128 | 0 | America/La_Paz | populated place | ||
| 12499789 | La Calzada | La Calzada | BO | La Paz Department | -16.29509 | -67.32204 | 0 | America/La_Paz | populated place | ||
| 12516137 | Santa Isabel de Bi | Santa Isabel de Bi | BO | Santa Cruz Department | -16.55113 | -60.99021 | 0 | America/La_Paz | populated place |
**Exploring Bolivia: A Geographer's Perspective**
Introduction**
Nestled in the heart of South America, Bolivia is a land of diverse landscapes, rich cultural heritage, and unique geographic features. As a geographer delving into the data of Bolivia's cities, regions, and geographic coordinates, one gains profound insights into the country's spatial dynamics and the interactions between its people and their environment.
Unraveling Bolivia's Urban Tapestry**
Bolivia's urban landscape is a mosaic of bustling cities, historic towns, and remote settlements scattered across its varied terrain. From the administrative capital of La Paz, nestled in the Andes Mountains, to the cultural hub of Sucre, known for its colonial architecture, each urban center tells a story of migration, commerce, and cultural exchange. Other significant cities include Santa Cruz de la Sierra, Cochabamba, and Potosí, each with its own unique character and significance.
Mapping Bolivia's Geographic Coordinates**
Obtaining the latitude and longitude coordinates of Bolivia's cities offers valuable insights into the country's geographic diversity and spatial distribution of population and resources. From the high-altitude plateau of the Altiplano to the dense rainforests of the Amazon Basin, these coordinates provide a window into Bolivia's complex topography and its implications for human settlement and economic activity.
Navigating Bolivia's Regional Variation**
Bolivia's regions exhibit considerable variation in terms of climate, vegetation, and land use. The western highlands are characterized by rugged mountains and cold, arid conditions, while the eastern lowlands are covered by dense forests and experience tropical climates. Understanding these regional differences is essential for addressing challenges such as rural poverty, environmental degradation, and natural resource management.
Environmental Conservation and Sustainable Development**
Bolivia is home to a wealth of natural resources, including biodiversity hotspots like the Madidi National Park and the Salar de Uyuni, the world's largest salt flat. However, rapid deforestation, mining activities, and climate change pose significant threats to the country's ecosystems and indigenous communities. Geographers play a crucial role in studying these environmental challenges and advocating for sustainable development practices that balance economic growth with environmental conservation and social equity.
Conclusion**
In conclusion, exploring Bolivia through a geographer's lens reveals a country of remarkable geographic diversity, cultural richness, and environmental significance. By obtaining data on its cities, regions, and geographic coordinates, we gain valuable insights into the spatial dynamics that shape Bolivia's landscape and society. As the country navigates the opportunities and challenges of the 21st century, the role of geographers in analyzing, interpreting, and shaping its geographic landscape remains indispensable. Through interdisciplinary collaboration and a commitment to sustainability, Bolivia can chart a course toward a more resilient, equitable, and prosperous future for all its inhabitants.

Download data files for Bolivia's cities in Excel (.xlsx), CSV, SQL, XML and JSON formats
Geographical Insights into Bolivia: Leveraging Data for Informed Development
Bolivia, a landlocked country in South America, is a country of great geographical diversity, featuring high-altitude plateaus, the Andean mountain range, and vast lowland regions, including parts of the Amazon rainforest. This diverse terrain influences not only the country’s cultural and environmental landscape but also its economic and urban development. For geographers, understanding the cities, regions, and departments within Bolivia provides the essential framework for studying the country's spatial organization, urban growth, and regional disparities.
Gaining access to detailed data on Bolivia’s cities—including their regional distribution, latitude and longitude coordinates, and administrative divisions—helps in conducting comprehensive geographical analyses. This data can guide urban planning, infrastructure development, and sustainable resource management, supporting Bolivia’s efforts to balance urbanization with its rich natural environment.
Bolivia’s Geography: From High Altitudes to Lowland Tropics
Bolivia’s geography is defined by stark contrasts, ranging from the high-altitude altiplano of the Andes to the lowland plains of the Amazon Basin. In the west, the Andean mountain range stretches through Bolivia, home to some of the highest points in the country, including the famous Lake Titicaca, located in the high-altitude plateau. The highlands are home to the country’s political and cultural centers, such as La Paz, the seat of government, and the city of El Alto, which has grown rapidly due to migration from rural areas.
To the east, Bolivia transitions into lowland plains and tropical rainforests, which dominate the eastern regions of the country. The departments of Santa Cruz, Beni, and Pando make up the majority of Bolivia’s lowland territory, where agricultural activity and natural resource extraction drive economic growth. These regions contrast sharply with the Andes, with their humid climate and dense vegetation, creating unique challenges and opportunities for urban development and environmental conservation.
Mapping Bolivia’s diverse geography, from the Andean mountains to the lowland jungles, requires access to comprehensive data on the country’s cities and regions. Understanding how urban centers are distributed within these contrasting regions offers valuable insights into how geographic factors shape settlement patterns and economic activity.
Mapping the Cities of Bolivia: Regions, Departments, and Urban Growth
Bolivia is divided into nine departments, which are further subdivided into provinces and municipalities. The department of La Paz, for example, includes the capital city, La Paz, located in the western highlands, as well as smaller towns in the surrounding altiplano. Santa Cruz, located in the east, is the country’s most populous and economically important department, serving as the center of Bolivia’s oil, gas, and agricultural industries.
The geographical distribution of cities across these departments reveals much about the country’s urbanization patterns. Cities in the highlands, such as La Paz and Cochabamba, are often constrained by the mountainous terrain, while cities in the lowlands, such as Santa Cruz and Trinidad, benefit from more accessible land and abundant natural resources. Understanding this urban distribution, and the relationship between cities and their surrounding departments, is crucial for planning infrastructure, managing resources, and ensuring equitable development across Bolivia.
By obtaining data on Bolivia’s cities, regions, and departments, it becomes possible to analyze trends in urbanization, infrastructure development, and resource management. Geographic data on the cities’ locations and their relationship to surrounding departments can inform sustainable development strategies, allowing for balanced growth that addresses the unique challenges of both highland and lowland regions.
Latitude and Longitude: Precise Coordinates for Geographic Analysis
Latitude and longitude data are fundamental for accurately mapping the cities and towns of Bolivia. These coordinates provide the geographic precision necessary for spatial analysis, allowing for a deeper understanding of how cities are interconnected and how they relate to both urban and rural areas.
For example, knowing the exact coordinates of La Paz, located in the Andean highlands, allows planners to assess its accessibility to nearby towns, transportation routes, and vital resources such as water and energy. Similarly, the coordinates of Santa Cruz, located in the lowland tropics, help to evaluate its proximity to agricultural zones, industrial hubs, and the Amazon Basin, which is key for understanding the city’s environmental and economic dynamics.
Latitude and longitude data enable more detailed geographic models and mapping tools that are essential for urban planning, environmental monitoring, and disaster management. By providing accurate geographic coordinates for each city in Bolivia, it becomes possible to identify areas of potential growth, vulnerability to natural disasters, and regions in need of infrastructure improvements.
Flexible Data Formats: Ensuring Accessibility for Diverse Users
To make geographic data about Bolivia accessible and usable, it is essential to provide the data in various flexible formats such as CSV, SQL, JSON, and XML. These formats allow users from different fields—whether urban planners, researchers, government agencies, or developers—to access and utilize the data effectively.
CSV and SQL formats are particularly valuable for large-scale data analysis and urban planning. These formats allow users to sort, filter, and query data efficiently, making them ideal for conducting spatial analysis, generating reports, and identifying trends in urbanization, resource use, and regional development.
JSON and XML formats are best suited for developers and those working with Geographic Information Systems (GIS) or web applications. These formats allow for dynamic, real-time data integration, enabling the creation of interactive maps, monitoring tools, and data-driven applications that can be used for urban planning, disaster response, and resource management.
By offering Bolivia’s geographic data in these various formats, it ensures that the data can be used across different sectors, enhancing decision-making, promoting collaboration, and fostering informed discussions about the country’s development.
Conclusion: Unlocking the Geographic Potential of Bolivia
Bolivia’s diverse geography, from the Andean highlands to the lowland tropics, offers unique opportunities and challenges for urban and regional development. By obtaining detailed data about the cities, regions, and departments of Bolivia—including precise latitude and longitude coordinates—geographers, urban planners, and policymakers can gain valuable insights into how Bolivia’s cities and regions interact and how geographic factors influence urban growth and resource distribution.
Latitude and longitude data provides essential precision for mapping and spatial analysis, while flexible formats such as CSV, SQL, JSON, and XML make this data accessible and usable across various platforms. With the right geographic data, Bolivia can make informed decisions regarding urbanization, infrastructure development, and sustainable resource management, ensuring that both urban and rural areas thrive.
Unlocking the full potential of Bolivia’s geographic data will help the country navigate its diverse landscapes, balance its economic growth with environmental protection, and ensure equitable and sustainable development across all regions.