Colombia Cities with Latitude & Longitude – Download in Excel, CSV, SQL, JSON, XML
Last update : 24 March 2026.
Here you’ll find a curated sample of 100 key cities from Colombia, each with essential data points such as latitude, longitude, administrative region, and other relevant attributes.
This preview is extracted from our full dataset, which includes a total of 30947 geographic locations across Colombia.
Whether you’re working on mapping, analytics, or app development, the data is available for both personal and commercial use.
All entries can be downloaded in five formats: Excel (.xlsx), CSV, SQL, JSON, and XML.
Capital Highlight: The official capital city of Colombia is Bogotá.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 3672686 | Pavas | CO | QuindĂo | Filandia | 4.65139 | -75.70972 | 0 | America/Bogota | populated place | ||
| 3684942 | El Bajo | CO | Cesar | La Gloria | 8.71667 | -73.6 | 0 | America/Bogota | populated place | ||
| 3666098 | Versalles | CO | Antioquia | Betania | 5.75 | -75.9 | 0 | America/Bogota | populated place | ||
| 3685264 | Delgado | CO | Amazonas | Puerto AlegrĂa | -1.34711 | -73.43378 | 0 | America/Bogota | populated place | ||
| 3676381 | Los Algarrobos | CO | Casanare Department | Aguazul | 5.13013 | -72.68521 | 0 | America/Bogota | populated place | ||
| 3666426 | Urcusique | CO | Putumayo | VillagarzĂłn | 1.01667 | -76.61667 | 0 | America/Bogota | populated place | ||
| 3735966 | El Paraiso | CO | Tolima | Ataco | 3.42472 | -75.48667 | 0 | America/Bogota | populated place | ||
| 7909227 | Santa Teresita | CO | Meta | AcacĂas | 3.97768 | -73.71133 | 0 | America/Bogota | populated place | ||
| 3680596 | Independencia | CO | Magdalena | Pivijay | 10.35349 | -74.45846 | 0 | America/Bogota | populated place | ||
| 3677954 | La Punta | Caserio La Punta,CaserĂo La Punta,La Punta | CO | Magdalena | El Banco | 9.17583 | -74.02917 | 0 | America/Bogota | populated place | |
| 3673562 | Orientes | CO | Amazonas | -0.46667 | -72.7 | 0 | America/Bogota | populated place | |||
| 3771694 | Viña del Mar | CO | Santander | Cimitarra | 6.44 | -74.04639 | 0 | America/Bogota | populated place | ||
| 8622282 | Hacienda Palacé | Hacienda Palace,Hacienda Palacé | CO | Valle del Cauca | Florida | 3.28776 | -76.2805 | 0 | America/Bogota | populated place | |
| 3777132 | Sabanetas | CO | Santander | Sucre | 5.965 | -73.90889 | 0 | America/Bogota | populated place | ||
| 3675517 | Mañaramahana | CO | La Guajira Department | Maicao | 11.45497 | -72.08443 | 0 | America/Bogota | populated place | ||
| 3667307 | Tenche | Corregimiento Tenche,Teche,Tenche,Teneche | CO | BolĂvar | San Jacinto del Cauca | 8.26222 | -74.64386 | 0 | America/Bogota | populated place | |
| 3675063 | Matenovillo | CO | Casanare Department | Hato Corozal | 6.25442 | -70.42404 | 0 | America/Bogota | populated place | ||
| 3737244 | Balsora | CO | Tolima | Ataco | 3.39667 | -75.66417 | 0 | America/Bogota | populated place | ||
| 10263349 | Lagunillas | Lagunillas | CO | Boyacá | 6.59806 | -72.55 | 0 | America/Bogota | populated place | ||
| 10345370 | Las Palamas | CO | Valle del Cauca | Buenaventura | 3.73802 | -77.16402 | 0 | America/Bogota | populated place | ||
| 3688068 | Caimán | CO | Antioquia | Turbo | 8.28572 | -76.70302 | 0 | America/Bogota | populated place | ||
| 3676764 | La Victoria | CO | Magdalena | El Retén | 10.69977 | -74.34677 | 0 | America/Bogota | populated place | ||
| 3680922 | Hato Viejo | CO | Cundinamarca | Sutatausa | 5.26667 | -73.88333 | 0 | America/Bogota | populated place | ||
| 7578157 | El LĂbano | CO | Cauca | Rosas | 2.26282 | -76.71373 | 0 | America/Bogota | populated place | ||
| 3827993 | San Juan de Soco | CO | Amazonas | Puerto Nariño | -3.73611 | -70.49278 | 0 | America/Bogota | populated place | ||
| 3667986 | Sincelejito | Sincelejito,Sinsol | CO | CĂłrdoba | MonterĂa | 8.87278 | -75.95667 | 0 | America/Bogota | populated place | |
| 3681135 | Hacienda El Carmen | CO | Atlántico | Malambo | 10.81667 | -74.83333 | 0 | America/Bogota | populated place | ||
| 3680030 | Karrapatamahana | CO | La Guajira Department | Maicao | 11.27324 | -72.40839 | 0 | America/Bogota | populated place | ||
| 8623405 | La Calera | La Calera | CO | Cauca | Silvia | 2.7473 | -76.32367 | 0 | America/Bogota | populated place | |
| 7540737 | Buenavista | CO | Nariño | Policarpa | 1.65378 | -77.41499 | 0 | America/Bogota | populated place | ||
| 3793639 | Las Achiras | CO | Antioquia | Uramita | 6.94035 | -76.21474 | 0 | America/Bogota | populated place | ||
| 3677620 | Las Cruces | Las Cruces,Santander | CO | Nariño | Barbacoas | 1.55 | -78.11667 | 0 | America/Bogota | populated place | |
| 3683201 | El Rincón | CO | Boyacá | Labranzagrande | 5.6 | -72.55 | 0 | America/Bogota | populated place | ||
| 3678237 | La Palmita | CO | Casanare Department | ManĂ | 4.81667 | -72.28333 | 0 | America/Bogota | populated place | ||
| 8622348 | Hacienda El Arado | Hacienda El Arado | CO | Cauca | Puerto Tejada | 3.2154 | -76.39083 | 0 | America/Bogota | populated place | |
| 8640404 | La Loma | CO | Nariño | Magüi | 1.93396 | -78.18496 | 0 | America/Bogota | populated place | ||
| 3769155 | VerdĂşn | CO | Valle del Cauca | Sevilla | 4.08333 | -75.86917 | 0 | America/Bogota | populated place | ||
| 3770013 | Santa Barbara | CO | Cundinamarca | Ubalá | 4.67862 | -73.22531 | 0 | America/Bogota | populated place | ||
| 3737066 | El Triunfo | CO | Tolima | Ataco | 3.34694 | -75.58472 | 0 | America/Bogota | populated place | ||
| 3777072 | Planada | CO | Boyacá | Saboyá | 5.71556 | -73.72778 | 0 | America/Bogota | populated place | ||
| 3682017 | Gladiador | CO | Atlántico | Malambo | 10.85 | -74.78333 | 0 | America/Bogota | populated place | ||
| 3678870 | La Granja | CO | Santander | Piedecuesta | 6.88333 | -73.06667 | 0 | America/Bogota | populated place | ||
| 3685195 | Divisa | Divisa,Hacienda Divisa | CO | Magdalena | Sabanas de San Angel | 10.19356 | -74.34345 | 0 | America/Bogota | populated place | |
| 3792293 | Tres Esquinas del Caguán | Tres Esquinas,Tres Esquinas del Caguan,Tres Esquinas del Caguán | CO | Caquetá | San Vicente del Caguán | 1.86806 | -74.81203 | 0 | America/Bogota | populated place | |
| 10331154 | San Juan | San Juan | CO | Meta | El Castillo | 3.64027 | -73.88179 | 0 | America/Bogota | populated place | |
| 3669309 | San Mateo | San Mateo | CO | Sucre | Sucre | 8.8984 | -74.71405 | 0 | America/Bogota | populated place | |
| 10321707 | Rumania | Rumania | CO | Huila | Colombia | 3.17257 | -74.80166 | 0 | America/Bogota | populated place | |
| 3665790 | RancherĂa Yoruma | Rancheria Yoruma,RancherĂa Yoruma,Yaluma | CO | La Guajira Department | Uribia | 12.06815 | -71.3369 | 0 | America/Bogota | populated place | |
| 3682417 | Florencia | CO | CĂłrdoba | Pueblo Nuevo | 8.50661 | -75.3789 | 0 | America/Bogota | populated place | ||
| 3679371 | La Cruz | CO | Atlántico | Candelaria | 10.48333 | -74.88333 | 0 | America/Bogota | populated place | ||
| 3780969 | Albania | CO | Huila | Santa MarĂa | 2.95639 | -75.56472 | 0 | America/Bogota | populated place | ||
| 7523517 | Jauja | Jauja | CO | Cundinamarca | 5.44092 | -74.68027 | 0 | America/Bogota | populated place | ||
| 3731960 | Llano Grande | Hacienda Llano Grande,Llano Grande | CO | Santander | GirĂłn | 7.02224 | -73.16671 | 0 | America/Bogota | populated place | |
| 3684152 | El GalerĂłn | CO | Casanare Department | Aguazul | 5 | -72.38333 | 0 | America/Bogota | populated place | ||
| 3776977 | Monte Viejo | CO | Boyacá | Gachantivá | 5.74167 | -73.56778 | 0 | America/Bogota | populated place | ||
| 3674147 | MĂşrujuy | CO | La Guajira Department | Uribia | 12.09452 | -72.14143 | 0 | America/Bogota | populated place | ||
| 3686693 | Chenducua | Chenducua,Shenducua,ShendĂşcua | CO | Cesar | Valledupar | 10.78487 | -73.41432 | 0 | America/Bogota | populated place | |
| 3828409 | El Plancito | El Plancito | CO | Huila | Colombia | 3.30373 | -74.82155 | 0 | America/Bogota | populated place | |
| 11780673 | Epellulli | CO | La Guajira Department | 12.10426 | -71.39344 | 0 | America/Bogota | populated place | |||
| 10631231 | Los Naranjos | Los Naranjos | CO | Tolima | Coyaima | 3.81226 | -75.15043 | 0 | America/Bogota | populated place | |
| 3771046 | Calarca | CO | Cauca | Suárez | 2.947 | -76.73905 | 0 | America/Bogota | populated place | ||
| 3676299 | Los Brazos | CO | Nariño | Barbacoas | 1.61474 | -78.21474 | 0 | America/Bogota | populated place | ||
| 3667507 | Tambichucué | Tambichucue,Tambichucué,Tumbichucue,Tumbichucué | CO | Cauca | Inzá | 2.63372 | -76.07085 | 0 | America/Bogota | populated place | |
| 8184290 | La Maniqua | La Maniqua | CO | Caquetá | Florencia | 1.5876 | -75.64477 | 0 | America/Bogota | populated place | |
| 3681706 | Guadualito | CO | La Guajira Department | Riohacha | 11.19564 | -72.75117 | 0 | America/Bogota | populated place | ||
| 8638494 | Santa Helena | CO | Cesar | Becerril | 9.74964 | -73.55604 | 0 | America/Bogota | populated place | ||
| 3684458 | El Convento | CO | Magdalena | Nueva Granada | 9.86777 | -74.36225 | 0 | America/Bogota | populated place | ||
| 3731982 | Alto Las Niguas | CO | Santander | Pinchote | 6.484 | -73.15338 | 0 | America/Bogota | populated place | ||
| 3677911 | La Rancherita | CO | Casanare Department | Monterrey | 4.85258 | -72.91837 | 0 | America/Bogota | populated place | ||
| 3687528 | Cantera | CO | BolĂvar | Mahates | 10.06667 | -75.25 | 0 | America/Bogota | populated place | ||
| 3780471 | La Paseua | CO | Antioquia | JericĂł | 5.68299 | -75.81103 | 0 | America/Bogota | populated place | ||
| 3672934 | Paraco | Hacienda Paraco,Paraco | CO | BolĂvar | CĂłrdoba | 9.63333 | -74.91667 | 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 | |
| 7578771 | San Francisco | CO | Cauca | TimbiquĂ | 2.52149 | -77.53238 | 0 | America/Bogota | populated place | ||
| 10354669 | San Jose | San Jose | CO | Huila | Neiva | 2.90066 | -74.99889 | 0 | America/Bogota | populated place | |
| 3770812 | RĂo Sucio | CO | Cauca | El Tambo | 2.56897 | -76.78339 | 0 | America/Bogota | populated place | ||
| 3828156 | Armenia | Armenia | CO | Huila | Baraya | 3.09884 | -74.94191 | 0 | America/Bogota | populated place | |
| 3681853 | Granja Teobromina | CO | Magdalena | Aracataca | 10.63333 | -74.23333 | 0 | America/Bogota | populated place | ||
| 3674828 | Mesa Redonda | CO | Huila | Tello | 3.12 | -75.19778 | 0 | America/Bogota | populated place | ||
| 7524498 | San Vicente | CO | Nariño | Los Andes | 1.54643 | -77.53525 | 0 | America/Bogota | populated place | ||
| 3689342 | Badillo | CO | Antioquia | Ituango | 7.23333 | -75.93333 | 0 | America/Bogota | populated place | ||
| 3687778 | Campo Alegre | CO | Sucre | Sincelejo | 9.34165 | -75.36779 | 0 | America/Bogota | populated place | ||
| 3785374 | El Estoril | CO | Antioquia | ApartadĂł | 7.86222 | -76.63889 | 0 | America/Bogota | populated place | ||
| 3776359 | El LĂbano | CO | Santander | 5.91608 | -73.59824 | 0 | America/Bogota | populated place | |||
| 12384982 | La Laguna | La Laguna | CO | Cauca | 2.37193 | -77.03018 | 0 | America/Bogota | populated place | ||
| 7526935 | Los Naranjitos | Los Naranjitos | CO | Meta | Restrepo | 4.26587 | -73.52292 | 0 | America/Bogota | populated place | |
| 6195782 | CaserĂo San Lorenzo | CO | Departamento de Arauca | Arauquita | 7.01583 | -71.51694 | 0 | America/Bogota | populated place | ||
| 3671263 | Puño de Oro | Puno de Oro,Puño de Oro | CO | Vichada | Puerto Carreño | 6.26868 | -67.68299 | 0 | America/Bogota | populated place | |
| 3776143 | Buenos Aires | CO | Santander | Albania | 5.76833 | -73.79083 | 0 | America/Bogota | populated place | ||
| 3775017 | La Reforma | CO | Boyacá | Puerto Boyacá | 5.99528 | -74.36139 | 0 | America/Bogota | populated place | ||
| 3672429 | Pesca | Pesca | CO | Boyacá | Pesca | 5.55833 | -73.04986 | 0 | America/Bogota | populated place | |
| 3731864 | Santa FĂ© | CO | Santander | Sabana de Torres | 7.37083 | -73.44306 | 0 | America/Bogota | populated place | ||
| 3668609 | Santa Marta | CO | Casanare Department | ManĂ | 4.9615 | -72.27992 | 0 | America/Bogota | populated place | ||
| 7630233 | La Simona | CO | Cauca | TimbiquĂ | 2.82561 | -77.5073 | 0 | America/Bogota | populated place | ||
| 3684483 | El Congreso | El Congreso,El Congreso Sitio | CO | Magdalena | Santa Ana | 9.52058 | -74.5049 | 0 | America/Bogota | populated place | |
| 3780419 | Montenegro | CO | Antioquia | Concordia | 5.97278 | -75.85722 | 0 | America/Bogota | populated place | ||
| 3782877 | Bomba de Agua | CO | Valle del Cauca | La Victoria | 4.48583 | -76.055 | 0 | America/Bogota | populated place | ||
| 3778456 | Alto Prado | CO | Valle del Cauca | Ginebra | 3.70194 | -76.16028 | 0 | America/Bogota | populated place | ||
| 3676844 | La Veguita | CO | Meta | Puerto LĂłpez | 4.43163 | -72.22921 | 0 | America/Bogota | populated place | ||
| 3679752 | La Boca de las Gaviotas | CO | Departamento de Arauca | Arauquita | 7.00798 | -71.26657 | 0 | America/Bogota | populated place |
Colombia: A Cartographic Treasure in the Heart of the Americas
Geographical Majesty Beyond the Andes
Colombia, a land where topography dictates culture and settlement, offers one of the most striking and complex spatial arrangements in Latin America. From the snow-capped peaks of the Andes to the tropical richness of the Amazon Basin, Colombia is a living canvas for any geographer passionate about regional studies, urban patterns, and the relationship between elevation, climate, and human organization.
Understanding Colombia is not just a matter of knowing its major cities—Bogotá, MedellĂn, Cali—but of grasping how its thousands of towns are structured across 32 departments and countless municipalities. Each administrative level reveals a new layer of identity, governance, and connection to the environment.
Urban Footprints Across Diverse Terrain
What fascinates me most about Colombia is how urbanization interacts with its rugged terrain. Cities are not randomly placed; they are carved into valleys, nestled along rivers, perched on high plateaus. Their positioning reflects centuries of adaptation to geography, from the coffee-growing altitudes of QuindĂo to the Afro-Caribbean rhythms of coastal Cartagena.
That’s why our city dataset for Colombia includes every officially recognized settlement—mapped and catalogued not only by name but also by region and department. This structure is critical for those building demographic models, running supply chain simulations, or simply trying to understand how a nation builds its identity across space.
The Power of Latitude and Longitude in Colombian Cartography
Colombia’s vast territory demands precision. Whether you’re a logistics planner mapping delivery routes through Cundinamarca or a climate researcher analyzing rainfall variation between Santander and Amazonas, accurate coordinates are non-negotiable. Each city in our dataset comes with its exact latitude and longitude—ready for any application, from GIS analysis to interactive web maps.
Why Excel is the New Frontier for Urban Geographers
While our data is available in various formats, the inclusion of Excel (xlsx) has been a game-changer. Excel provides a user-friendly yet powerful interface for spatial data exploration. It allows users to filter cities by department, sort them by longitude, or compare the number of settlements in coastal versus mountainous zones—all without needing specialized software.
Educators, students, journalists, and policy analysts alike benefit from this new Excel availability. It bridges the gap between raw data and accessible insight. For many, this format will serve as the entry point into serious geographic work on Colombia.
Data Formats for Every Digital Landscape
Beyond Excel, the dataset is also downloadable in CSV for basic tabular needs, SQL for database integration, JSON for developers building geographic apps, and XML for structured data processing. Whatever your digital ecosystem, our database is prepared to integrate seamlessly, ensuring high-quality location intelligence for any use case.
Why Regional Detail Matters in Colombia
Too often, global datasets lump Colombia into a few major nodes. But those who know the country understand its real pulse lies in the small cities and towns—the economic lifeblood of departments like Boyacá, Nariño, and Caquetá. Regional detail is not just technical; it is political, cultural, and ecological. That’s why our data is carefully grouped and labeled by administrative division, honoring the geographic integrity of each locality.
Conclusion: Mapping Colombia is Mapping Complexity
Colombia is not just a country—it’s a geographic dialogue. Between mountains and coastlines, between dense rainforest and dry valleys, between urban sprawl and rural resilience. To map Colombia is to map that dialogue, and to do it properly, you need accurate, comprehensive, and accessible data.
With our newly enhanced database—available in Excel and four additional formats—you gain access to the full cartographic fabric of Colombian cities, including their regional and departmental contexts and geospatial coordinates. Whether you are planning infrastructure, teaching geography, or building digital products, this data is your foundation for meaningful insight into one of Latin America’s most dynamic nations.
