Colombia 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 Colombia. Each row includes a city's latitude, longitude, region and other variables of interest. This is a subset of all 30947 places in Colombia 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 Colombia is Bogotá.
Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
---|---|---|---|---|---|---|---|---|---|---|---|
3756995 | La Cañaguata | La Canaguata,La Cañaguata | CO | Boyacá | Cubará | 7.03203 | -72.06349 | 0 | America/Bogota | populated place | |
3689861 | Angosturas | CO | Valle del Cauca | San Pedro | 3.9754 | -76.18092 | 0 | America/Bogota | populated place | ||
3672107 | Pitayó | Pitayo,Pitayó | CO | Cauca | Silvia | 2.70945 | -76.32931 | 0 | America/Bogota | populated place | |
3677511 | Las Flores | CO | Cesar | Valledupar | 10.75945 | -73.34737 | 0 | America/Bogota | populated place | ||
7546107 | Puerto Miranda | CO | Caquetá | 1.01268 | -76.20907 | 0 | America/Bogota | populated place | |||
8192481 | La Piñuela | La Pinuela,La Piñuela | CO | Caquetá | Florencia | 1.62395 | -75.6692 | 0 | America/Bogota | populated place | |
3685973 | Contadero | CO | Bolívar | San Fernando | 9.07441 | -74.3006 | 0 | America/Bogota | populated place | ||
3732335 | San José | CO | Santander | Ocamonte | 6.35041 | -73.14597 | 0 | America/Bogota | populated place | ||
3775597 | Las Flores | CO | Magdalena | Guamal | 9.36642 | -74.06881 | 0 | America/Bogota | populated place | ||
3770685 | Mechengue | CO | Cauca | El Tambo | 2.57583 | -76.91389 | 0 | America/Bogota | populated place | ||
3775379 | Verania | CO | Boyacá | San Pablo de Borbur | 5.65417 | -74.09528 | 0 | America/Bogota | populated place | ||
3737679 | El Hatico | CO | Norte de Santander Department | Abrego | 8.11722 | -73.15278 | 0 | America/Bogota | populated place | ||
3735629 | Cañaveral | CO | Cauca | Mercaderes | 1.71141 | -77.1832 | 0 | America/Bogota | populated place | ||
3769616 | Cataluña | CO | Cundinamarca | Ubalá | 4.72018 | -73.29711 | 0 | America/Bogota | populated place | ||
3793410 | Cascajal | CO | Antioquia | Frontino | 6.705 | -76.11111 | 0 | America/Bogota | populated place | ||
3731517 | Pedragosa | CO | Antioquia | Ituango | 7.25639 | -75.85667 | 0 | America/Bogota | populated place | ||
3778630 | El Brillante | CO | Valle del Cauca | El Cerrito | 3.67861 | -76.10528 | 0 | America/Bogota | populated place | ||
3672241 | Pilcuán | CO | Nariño | Barbacoas | 1.4 | -78.08333 | 0 | America/Bogota | populated place | ||
8634987 | La Aguada | CO | Cauca | Silvia | 2.65352 | -76.48464 | 0 | America/Bogota | populated place | ||
3685561 | Cucharal | CO | Bolívar | Pinillos | 8.98333 | -74.45 | 0 | America/Bogota | populated place | ||
3671607 | Puembí | CO | Nariño | Barbacoas | 1.65 | -78.1 | 0 | America/Bogota | populated place | ||
7539582 | La Reserva | La Reserva | CO | Caquetá | Albania | 1.33274 | -75.92893 | 0 | America/Bogota | populated place | |
3736031 | San Pablo | CO | Nariño | Policarpa | 1.71083 | -77.45111 | 0 | America/Bogota | populated place | ||
3791447 | La Mariela | CO | Tolima | Rioblanco | 3.59889 | -75.82833 | 0 | America/Bogota | populated place | ||
8181995 | Buenavista | Buenavista | CO | Bogota D.C. | Bogotá D.C. | 4.541 | -74.05506 | 0 | America/Bogota | populated place | |
3678369 | La Moneda | CO | Valle del Cauca | Sevilla | 4.2628 | -75.95275 | 0 | America/Bogota | populated place | ||
3736028 | La Sierra | CO | Nariño | El Rosario | 1.76395 | -77.37956 | 0 | America/Bogota | populated place | ||
8015990 | Las Delicias | CO | Bolívar | Morales | 8.38766 | -73.78063 | 0 | America/Bogota | populated place | ||
3782443 | San Jorge | CO | Tolima | San Antonio | 3.96306 | -75.47167 | 0 | America/Bogota | populated place | ||
7524477 | Campoamor | Campoamor | CO | Santander | Lebríja | 7.38583 | -73.3644 | 0 | America/Bogota | populated place | |
3676564 | Limoncito | CO | Cundinamarca | Guayabetal | 4.26667 | -73.83333 | 0 | America/Bogota | populated place | ||
3770593 | La Violeta | CO | Cauca | Popayán | 2.54219 | -76.59689 | 0 | America/Bogota | populated place | ||
3782082 | Los Aguados | CO | Cundinamarca | Choachí | 4.58696 | -73.91804 | 0 | America/Bogota | populated place | ||
3671358 | Puerto Rangel | CO | Magdalena | Guamal | 9.19092 | -74.28727 | 0 | America/Bogota | populated place | ||
3673163 | Palmira | CO | Boyacá | Paya | 5.60015 | -72.33977 | 0 | America/Bogota | populated place | ||
3738277 | El Amparo | CO | Norte de Santander Department | Tibú | 8.78194 | -72.76028 | 0 | America/Bogota | populated place | ||
8638503 | La Brasilia | CO | Cesar | Valledupar | 9.9865 | -73.62449 | 0 | America/Bogota | populated place | ||
3734294 | La Cabaña | CO | Caquetá | Albania | 1.14745 | -75.83888 | 0 | America/Bogota | populated place | ||
3667299 | Tenerife | CO | Córdoba | Montería | 8.66694 | -76.10917 | 0 | America/Bogota | populated place | ||
3670040 | San Benito | CO | Atlántico | Usiacurí | 10.7 | -74.95 | 0 | America/Bogota | populated place | ||
3777081 | Portachuelo | CO | Santander | Vélez | 5.95462 | -73.66734 | 0 | America/Bogota | populated place | ||
8016107 | El Paraíso | El Paraiso,El Paraíso | CO | Cesar | Aguachica | 8.18218 | -73.67332 | 0 | America/Bogota | populated place | |
3683073 | El Santuario | CO | Boyacá | Siachoque | 5.5 | -73.26667 | 0 | America/Bogota | populated place | ||
3676454 | Loma Simón Bolívar | Caserio Loma de Simon Bolivar,Loma Simon Bolivar,Loma Simón Bolívar,Loma de Simon,Loma de Simon Bolivar,Loma de Simón,Loma de Simón Bolivar | CO | Bolívar | Mompós | 9.22653 | -74.46361 | 0 | America/Bogota | populated place | |
3775487 | Yacopi | CO | Boyacá | Muzo | 5.54806 | -74.095 | 0 | America/Bogota | populated place | ||
3781361 | La María | CO | Risaralda | Belén de Umbría | 5.13928 | -75.87214 | 0 | America/Bogota | populated place | ||
8559505 | El Arca | CO | Cesar | Valledupar | 10.09002 | -73.44996 | 0 | America/Bogota | populated place | ||
3782085 | Los Andes | CO | Cundinamarca | Guasca | 4.78718 | -73.76044 | 0 | America/Bogota | populated place | ||
3686995 | Cebadero | CO | Nariño | Albán | 1.46667 | -77.08333 | 0 | America/Bogota | populated place | ||
3740661 | La Motilona | La Motilona | CO | Norte de Santander Department | Tibú | 9.0024 | -72.89836 | 0 | America/Bogota | populated place | |
8261719 | El Hoyo | El Hoyo | CO | Antioquia | Medellín | 6.25468 | -75.70121 | 0 | America/Bogota | populated place | |
3672807 | Pasirro | CO | La Guajira Department | Uribia | 12.3 | -71.55 | 0 | America/Bogota | populated place | ||
8305977 | La Agustina | CO | Cauca | Santander de Quilichao | 2.89112 | -76.53071 | 0 | America/Bogota | populated place | ||
3734530 | El Recreo | CO | Tolima | Ortega | 4.05222 | -75.3075 | 0 | America/Bogota | populated place | ||
3763559 | El Santuario | CO | Meta | Mesetas | 3.42942 | -74.04224 | 0 | America/Bogota | populated place | ||
3779076 | Nápoles | CO | Valle del Cauca | Palmira | 3.67028 | -76.03389 | 0 | America/Bogota | populated place | ||
3688014 | Cajapí | CO | Nariño | San Andres de Tumaco | 1.51056 | -78.67944 | 0 | America/Bogota | populated place | ||
10323386 | La Argentina | La Argentina | CO | Meta | San Martín | 3.54746 | -73.5806 | 0 | America/Bogota | populated place | |
3757411 | La Alianza | CO | Norte de Santander Department | Cúcuta | 8.22861 | -72.45722 | 0 | America/Bogota | populated place | ||
8310013 | Pablón | Pablon,Pablón | CO | Santander | Bucaramanga | 7.17917 | -73.13221 | 0 | America/Bogota | populated place | |
3675106 | Mataperros | Hacienda Mataperros,Mataperros | CO | Bolívar | El Guamo | 10.03333 | -74.88333 | 0 | America/Bogota | populated place | |
3830606 | Napoles | CO | Bolívar | Turbaco | 10.33446 | -75.35221 | 0 | America/Bogota | populated place | ||
3784913 | La Meseta | CO | Antioquia | Andes | 5.58208 | -75.88027 | 0 | America/Bogota | populated place | ||
3687067 | Catalanes | CO | Bolívar | San Jacinto | 9.7905 | -75.04338 | 0 | America/Bogota | populated place | ||
8622805 | Crucero del Cualí | Crucero del Cuali,Crucero del Cualí | CO | Cauca | Caloto | 3.08035 | -76.4171 | 0 | America/Bogota | populated place | |
3669851 | San Francisco | CO | Norte de Santander Department | San Calixto | 8.45 | -73.11667 | 0 | America/Bogota | populated place | ||
3666010 | Villa Clara | CO | Córdoba | Pueblo Nuevo | 8.53441 | -75.41204 | 0 | America/Bogota | populated place | ||
3779531 | La Macoca | CO | Córdoba | Canalete | 8.76611 | -76.13278 | 0 | America/Bogota | populated place | ||
3680090 | Juradó | JUO,Jurado,Juradó | CO | Chocó | Juradó | 7.10421 | -77.762 | 2351 | America/Bogota | populated place | |
3776714 | La Llanada | CO | Santander | Puente Nacional | 5.741 | -73.65497 | 0 | America/Bogota | populated place | ||
3665685 | Yopito | CO | Departamento de Arauca | Tame | 6.46667 | -71.66667 | 0 | America/Bogota | populated place | ||
3689077 | Batallón Cartagena | Batallon Cartagena,Batallón Cartagena,Cuarteles del Batallon Cartagena,Cuarteles del Batallón Cartagena | CO | Córdoba | Montería | 8.73333 | -75.91667 | 0 | America/Bogota | populated place | |
3674201 | Mundo Nuevo | CO | Sucre | Santiago de Tolú | 9.61667 | -75.5 | 0 | America/Bogota | populated place | ||
3828192 | El Carmen | El Carmen | CO | Tolima | Alpujarra | 3.47787 | -74.8555 | 0 | America/Bogota | populated place | |
3769954 | Palmira | CO | Meta | Villavicencio | 4.02322 | -73.3422 | 0 | America/Bogota | populated place | ||
3763810 | Berraquia | CO | Guainía Department | Puerto Colombia | 2.62973 | -67.47541 | 0 | America/Bogota | populated place | ||
3780504 | Alto San Rafael | CO | Antioquia | Jardín | 5.55841 | -75.7825 | 0 | America/Bogota | populated place | ||
3680750 | Huaina | CO | La Guajira Department | Uribia | 12 | -71.3 | 0 | America/Bogota | populated place | ||
7523290 | Villa Martin | Villa Martin | CO | Tolima | Municipio de San Sebastián de Mariquita | 5.21747 | -74.93067 | 0 | America/Bogota | populated place | |
3779063 | Miravalles | CO | Valle del Cauca | Vijes | 3.69725 | -76.46865 | 0 | America/Bogota | populated place | ||
3783600 | Las Lauras | CO | Córdoba | San Pelayo | 8.98731 | -75.76114 | 0 | America/Bogota | populated place | ||
7539778 | La Florida | La Florida | CO | Caquetá | Morelia | 1.2616 | -75.59794 | 0 | America/Bogota | populated place | |
3666097 | Versalles | CO | Antioquia | Santa Bárbara | 5.93333 | -75.56667 | 0 | America/Bogota | populated place | ||
3669598 | San José | Hacienda San Jose,Hacienda San José,San Jose,San José | CO | Magdalena | Algarrobo | 10.06215 | -74.08167 | 0 | America/Bogota | populated place | |
8139672 | El Arrieral | El Arrieral | CO | Valle del Cauca | Buenaventura | 3.89643 | -77.09463 | 0 | America/Bogota | populated place | |
3669808 | San Gil | San Chilis,San Gil,san khyl,san-khili,sheng xi er,سان خیل,სან-ხილი,聖希爾 | CO | Santander | San Gil | 6.55952 | -73.13637 | 46152 | America/Bogota | populated place | |
3782482 | El Roble | CO | Tolima | Chaparral | 3.75778 | -75.4925 | 0 | America/Bogota | populated place | ||
3830860 | Quilembe | CO | Bolívar | Arjona | 10.24613 | -75.36126 | 0 | America/Bogota | populated place | ||
10354680 | Manzanares | Manzanares | CO | Huila | Neiva | 2.92028 | -75.02189 | 0 | America/Bogota | populated place | |
3675281 | Marianela | CO | Casanare Department | Maní | 4.56376 | -72.05604 | 0 | America/Bogota | populated place | ||
3739507 | San Marcos | San Marcos | CO | Huila | Colombia | 3.529 | -74.71684 | 0 | America/Bogota | populated place | |
10323544 | Los Sauces | Los Sauces | CO | Meta | El Castillo | 3.58507 | -73.77132 | 0 | America/Bogota | populated place | |
8622378 | Mendiola | Mendiola | CO | Cauca | Corinto | 3.18432 | -76.30082 | 0 | America/Bogota | populated place | |
3829032 | Boca de Chapetón | Boca Chapeton,Boca Chapetón,Boca de Chapeton,Boca de Chapetón | CO | Cauca | Guapi | 2.51387 | -77.88042 | 0 | America/Bogota | populated place | |
3674540 | Monserrate | CO | Sucre | Sincelejo | 9.36667 | -75.43333 | 0 | America/Bogota | populated place | ||
3771013 | Buenavista | Buenavista | CO | Cauca | Totoró | 2.58391 | -76.5307 | 0 | America/Bogota | populated place | |
3776684 | La Gaviota | CO | Santander | Sucre | 5.89484 | -73.83401 | 0 | America/Bogota | populated place | ||
3778846 | La Esperanza | CO | Valle del Cauca | Guadalajara de Buga | 3.81444 | -76.34833 | 0 | America/Bogota | populated place | ||
3776913 | Los Santrillos | CO | Boyacá | Santa Sofía | 5.73972 | -73.58639 | 0 | America/Bogota | populated place | ||
3677739 | Las Balsas | La Balsa,Las Balsas | CO | Córdoba | Ciénaga de Oro | 8.91306 | -75.66778 | 0 | America/Bogota | populated place |
**Exploring Colombia: A Geographer's Perspective**
Nestled in the northwestern corner of South America, Colombia is a land of staggering geographical diversity, from its lush rainforests and rugged Andean peaks to its Caribbean coastlines and Amazonian basin. For a geographer, delving into the data of Colombia's cities, regions, and geographical coordinates offers a fascinating journey through the country's physical, cultural, and environmental landscapes. Let us embark on this exploration to uncover the geographical intricacies of Colombia.
Unveiling Urban Centers**
Colombia's urban centers are vibrant hubs of culture, commerce, and population diversity. From the bustling metropolis of Bogotá to the historic port city of Cartagena, each urban center reflects the country's rich tapestry of history and urbanization. For a geographer, obtaining data on Colombia's cities involves analyzing population demographics, urban sprawl patterns, and economic activities within the context of each region's geographical setting.
Mapping Regional Diversity**
Beyond its urban centers, Colombia boasts a mosaic of geographical regions, each with its own distinct landscapes and ecological features. From the snow-capped peaks of the Andes to the biodiverse Amazon rainforest, the country's geographical diversity is unparalleled. Colombia is divided into departments and regions, each characterized by unique topography, climate variations, and natural resources. The quest for data extends beyond numerical coordinates, encompassing the study of regional development, resource management, and environmental conservation efforts across Colombia's diverse landscape.
Navigating Latitude and Longitude**
In the pursuit of geographical understanding, latitude and longitude serve as essential navigational tools for mapping Colombia's vast terrain. From the northernmost city of Riohacha to the southern reaches of Leticia, each geographical coordinate offers insights into Colombia's spatial distribution, climate zones, and land use patterns. For a geographer, acquiring accurate latitude and longitude data is crucial for understanding spatial relationships, environmental gradients, and human-environment interactions across Colombia's diverse geography.
Exploring Human-Environment Interactions**
Colombia's geography is deeply intertwined with human activities and environmental dynamics. From the challenges of deforestation in the Amazon to the impacts of urbanization on fragile ecosystems, Colombia's geographical landscape reflects a complex interplay between human societies and the natural environment. As a geographer, the quest for data extends beyond physical geography, encompassing the study of land tenure systems, agricultural practices, and biodiversity conservation efforts in Colombia's dynamic landscape.
Conclusion: Embracing Colombia's Geography**
In the tapestry of Colombia's geography, the quest for data serves as a gateway to understanding the country's rich cultural heritage, environmental diversity, and socio-economic complexities. As we unravel the geographical nuances of this diverse nation, let us not only seek coordinates on a map but also embrace the spirit of exploration, discovery, and appreciation for Colombia's geography, which lies at the crossroads of South America's past and future.
Download data files for Colombia's cities in CSV, SQL, XML and JSON formats
Geographical Insights into Colombia: Unlocking the Power of Geographic Data for Development
Colombia, located at the crossroads of South America, is a country rich in natural resources, diverse landscapes, and cultural heritage. From its lush Amazonian rainforests to the towering peaks of the Andes and the beautiful Caribbean coastline, Colombia’s geography is as varied as its population. Understanding the spatial dynamics of this diverse country is crucial for fostering sustainable development, managing natural resources, and addressing urbanization challenges. By obtaining detailed geographic data on Colombia’s cities, regions, and departments—including precise latitude and longitude coordinates—planners, geographers, and policymakers can make informed decisions about the country’s future.
Access to geographic data in formats such as CSV, SQL, JSON, and XML opens up a wide range of opportunities for spatial analysis, infrastructure development, and environmental management. This article explores the importance of geographic data for Colombia’s future and how it can be used to guide the country toward balanced growth and sustainable resource management.
Colombia’s Geography: A Diverse and Complex Landscape
Colombia’s geography is defined by its diverse landscapes, which include the Andes mountain range, tropical rainforests, vast plains, and coastlines along both the Caribbean Sea and the Pacific Ocean. The Andes runs through the country from south to north, dividing Colombia into three distinct mountain ranges. Between these mountains lies the fertile Andean highland region, which is home to the majority of Colombia’s population and economic activity.
To the east, Colombia is bordered by the vast Amazon Basin, while the plains of the Llanos stretch across the country’s eastern lowlands. The Pacific coast, in contrast, is characterized by tropical rainforests and important biodiversity, while the Caribbean coast is known for its beautiful beaches and vibrant tourism industry. These varied geographic zones impact the distribution of Colombia’s population, infrastructure, and economic resources.
Understanding how the country’s cities, regions, and departments are distributed across this diverse geography is crucial for addressing regional inequalities and fostering sustainable development. Geographic data helps planners assess how different areas of the country can best utilize their natural resources while preserving environmental integrity.
Mapping Colombia’s Cities and Regions
Colombia is divided into 33 departments, each with its own administrative divisions and cultural characteristics. These departments are further subdivided into municipalities, with each municipality containing multiple cities and towns. The capital, Bogotá, located in the Andean region, is Colombia’s largest city and serves as the economic, political, and cultural hub of the country. Other major cities include Medellín, Cali, and Barranquilla, each of which serves as a regional center for trade, industry, and services.
Bogotá, for example, has seen rapid urbanization and is facing challenges related to infrastructure, housing, and transportation. Medellín, historically an industrial city, has evolved into a center for innovation and technology. Cali, known for its role in Colombia’s sugar industry, is an important economic and cultural center in the southwestern region. Barranquilla, on the Caribbean coast, serves as a major port city and an entry point for international trade.
Beyond these urban centers, many smaller cities and rural towns spread throughout Colombia’s departments face challenges such as limited access to services, underdeveloped infrastructure, and vulnerability to environmental factors such as flooding or drought. Geographic data, including information on the population, infrastructure, and geographic location of cities, is essential for addressing these disparities and ensuring that development is distributed evenly across the country.
Latitude and Longitude: Pinpointing Locations for Better Planning
Latitude and longitude data is essential for accurate mapping and geographic analysis. By obtaining precise coordinates for cities like Bogotá, Medellín, and Cali, urban planners and geographers can gain valuable insights into the country’s infrastructure needs, resource distribution, and economic activities.
For instance, knowing the exact latitude and longitude of Bogotá allows planners to evaluate its proximity to key transportation routes, industrial zones, and natural resources. This information can help in optimizing urban growth strategies and ensuring that the city’s infrastructure meets the demands of its growing population.
Similarly, understanding the geographic coordinates of cities in Colombia’s rural regions—such as Popayán, Pasto, or Leticia—can help policymakers identify areas that are underserved by infrastructure and focus development efforts in these regions. Latitude and longitude data also supports environmental monitoring, as it can be used to track land use, deforestation, and climate-related changes in the country’s diverse ecosystems.
Flexible Data Formats: CSV, SQL, JSON, and XML for Efficient Analysis
For geographic data to be useful and accessible to a wide range of users, it must be available in flexible formats such as CSV, SQL, JSON, and XML. These formats allow stakeholders to efficiently analyze, integrate, and visualize the data across various platforms and applications.
CSV and SQL formats are particularly valuable for urban planners, government agencies, and researchers working with large datasets. These formats allow users to filter, sort, and query data based on multiple criteria, such as population density, infrastructure availability, and economic activity. By using these formats, planners can easily assess trends in regional development, resource allocation, and urbanization.
JSON and XML formats are more suitable for developers working with dynamic systems or GIS tools. These formats support real-time updates, interactive mapping, and the integration of live data into decision-making platforms. With these formats, developers can create interactive maps, data visualization tools, and real-time tracking systems that can aid in urban planning, disaster management, and environmental monitoring.
By offering Colombia’s geographic data in these formats, the country ensures that its geographic information can be utilized by a wide range of stakeholders, from local governments to international development agencies and environmental organizations.
Conclusion: Unlocking Colombia’s Geographic Data for a Sustainable Future
Colombia’s diverse geography—spanning from its Andean mountains to its tropical rainforests and coastal plains—presents both challenges and opportunities for the country’s growth and development. By obtaining detailed geographic data on Colombia’s cities, regions, and departments—including precise latitude and longitude coordinates—geographers, urban planners, and policymakers can gain deeper insights into the country’s spatial dynamics.
Latitude and longitude data, combined with flexible formats like CSV, SQL, JSON, and XML, provides the foundation for informed decision-making and effective resource management. This data is crucial for promoting balanced regional development, optimizing infrastructure, and ensuring the sustainable use of Colombia’s natural resources.
Unlocking the full potential of geographic data will enable Colombia to address its development challenges, enhance economic opportunities, and protect its unique ecosystems for future generations. By leveraging this data, Colombia can continue to progress toward a prosperous and sustainable future.