Honduras Cities with Latitude & Longitude – Download in Excel, CSV, SQL, JSON, XML
Last update : 23 March 2026.
Here you’ll find a curated sample of 100 key cities from Honduras, 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 12161 geographic locations across Honduras.
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 Honduras is Tegucigalpa.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 3604578 | Morococha | HN | Yoro Department | 15.28333 | -87.35 | 0 | America/Tegucigalpa | populated place | |||
| 3605473 | Los Mangos | HN | Copán Department | 14.55 | -88.88333 | 0 | America/Tegucigalpa | populated place | |||
| 3612722 | El Agua Zarca | Agua Zarca,El Agua Zarca | HN | El Paraíso Department | 13.71667 | -86.85 | 0 | America/Tegucigalpa | populated place | ||
| 3820606 | Verdugo | HN | Francisco Morazán Department | 13.78639 | -87.38667 | 0 | America/Tegucigalpa | populated place | |||
| 3826022 | Pedrerita | HN | Valle Department | 13.41583 | -87.53472 | 0 | America/Tegucigalpa | populated place | |||
| 3826399 | Agua Caliente | HN | Francisco Morazán Department | 13.70194 | -87.51222 | 0 | America/Tegucigalpa | populated place | |||
| 3604601 | Monte Vista Campo | HN | Cortés Department | 15.4 | -87.83333 | 0 | America/Tegucigalpa | populated place | |||
| 3819398 | El Tabacal | HN | Valle Department | 13.56278 | -87.43639 | 0 | America/Tegucigalpa | populated place | |||
| 3609721 | Estero Ancho | HN | Atlántida Department | 15.85 | -87.7 | 0 | America/Tegucigalpa | populated place | |||
| 3606813 | Las Delicias | HN | Copán Department | 14.91667 | -88.86667 | 0 | America/Tegucigalpa | populated place | |||
| 3606842 | Las Dantas | HN | Comayagua Department | 14.73333 | -87.73333 | 0 | America/Tegucigalpa | populated place | |||
| 3607419 | La Masica | La Masica,Masica | HN | Atlántida Department | 15.61667 | -87.11667 | 4022 | America/Tegucigalpa | populated place | ||
| 3820584 | Portillo Camarón | HN | Francisco Morazán Department | 13.76889 | -87.46972 | 0 | America/Tegucigalpa | populated place | |||
| 3607005 | Las Arenas | Arenas,Las Arenas | HN | Lempira Department | 14.48333 | -88.48333 | 0 | America/Tegucigalpa | populated place | ||
| 3611351 | El Macuelizo | HN | Valle Department | 13.64972 | -87.63417 | 0 | America/Tegucigalpa | populated place | |||
| 3764295 | Maguellalez | HN | Santa Bárbara Department | 15.3825 | -88.51167 | 0 | America/Tegucigalpa | populated place | |||
| 3606376 | Las Playitas | HN | Choluteca Department | 13.20389 | -87.06361 | 0 | America/Tegucigalpa | populated place | |||
| 3608425 | La Arena | Arena,La Arena | HN | Copán Department | 14.73333 | -88.96667 | 0 | America/Tegucigalpa | populated place | ||
| 3609990 | El Venado | HN | Intibucá Department | 14.48333 | -88.26667 | 0 | America/Tegucigalpa | populated place | |||
| 3605373 | Los Planes | HN | Intibucá Department | 14.36667 | -88.23333 | 0 | America/Tegucigalpa | populated place | |||
| 3604060 | Palo Colorado | Palo Colorado,Palos Colorados | HN | Yoro Department | 14.93333 | -87.53333 | 0 | America/Tegucigalpa | populated place | ||
| 3607299 | Landa | Landa,Lauda | HN | Colón Department | 15.86667 | -85.58333 | 0 | America/Tegucigalpa | populated place | ||
| 3609877 | El Zapote | HN | Atlántida Department | 15.61667 | -87.43333 | 0 | America/Tegucigalpa | populated place | |||
| 3613798 | Cerro Grande | HN | Lempira Department | 14.18333 | -88.75 | 0 | America/Tegucigalpa | populated place | |||
| 3812305 | La Hipólita | HN | Choluteca Department | 13.57361 | -87.19778 | 0 | America/Tegucigalpa | populated place | |||
| 3606394 | Las Pilitas | HN | Francisco Morazán Department | 14.18333 | -87.15 | 0 | America/Tegucigalpa | populated place | |||
| 3607190 | La Pinte | La Pinta,La Pinte | HN | Lempira Department | 14.05 | -88.51667 | 0 | America/Tegucigalpa | populated place | ||
| 3607365 | La Minita | HN | Santa Bárbara Department | 15.26667 | -88.36667 | 0 | America/Tegucigalpa | populated place | |||
| 3610606 | El Puente | HN | Cortés Department | 15.08333 | -88.06667 | 0 | America/Tegucigalpa | populated place | |||
| 3610403 | El Rodeo | HN | Olancho Department | 14.81667 | -86.31667 | 0 | America/Tegucigalpa | populated place | |||
| 3605832 | Lomitas de Morejón | Lomas de Morejon,Lomas de Morejón,Lomitas de Morejon,Lomitas de Morejón | HN | Yoro Department | 15.08333 | -87.7 | 0 | America/Tegucigalpa | populated place | ||
| 3602092 | San José | San Jose,San Jose de Copan,San José,San José de Copán | HN | Copán Department | 14.90235 | -88.72063 | 1789 | America/Tegucigalpa | populated place | ||
| 3602495 | San Antonio | HN | Lempira Department | 14.36667 | -88.48333 | 0 | America/Tegucigalpa | populated place | |||
| 3601527 | Santa Rita | HN | Francisco Morazán Department | 13.815 | -87.49833 | 0 | America/Tegucigalpa | populated place | |||
| 3604043 | Palos Blancos | Palos Blancos,Palos Bloncos | HN | Cortés Department | 15.31667 | -88.06667 | 0 | America/Tegucigalpa | populated place | ||
| 3600618 | Tres Piedras | HN | Choluteca Department | 13.09278 | -87.04972 | 0 | America/Tegucigalpa | populated place | |||
| 3605236 | Los Vinos | HN | Valle Department | 13.52806 | -87.40556 | 0 | America/Tegucigalpa | populated place | |||
| 3605664 | Los Copales | Copales,Los Copales | HN | El Paraíso Department | 13.64778 | -87.05917 | 0 | America/Tegucigalpa | populated place | ||
| 3600714 | Tixila | Tazila,Tixila | HN | Lempira Department | 14.11667 | -88.65 | 0 | America/Tegucigalpa | populated place | ||
| 3603432 | Portillo | HN | Choluteca Department | 14.95 | -86.8 | 0 | America/Tegucigalpa | populated place | |||
| 3605205 | Macho | HN | Colón Department | 15.85 | -85.25 | 0 | America/Tegucigalpa | populated place | |||
| 3613934 | Cayos Cochinos | HN | Bay Islands | 15.96667 | -86.45 | 0 | America/Tegucigalpa | populated place | |||
| 3601341 | Sicaguara Abajo | HN | Francisco Morazán Department | 14.61667 | -87.13333 | 0 | America/Tegucigalpa | populated place | |||
| 3609342 | Gualjoco | Gualjaco,Gualjoco | HN | Santa Bárbara Department | 14.9599 | -88.23735 | 1432 | America/Tegucigalpa | populated place | ||
| 3820237 | El Cerro | HN | El Paraíso Department | 13.69583 | -87.03139 | 0 | America/Tegucigalpa | populated place | |||
| 3606137 | La Vega | HN | Francisco Morazán Department | 14.86667 | -87.16667 | 0 | America/Tegucigalpa | populated place | |||
| 3604053 | Paloma Muerta | HN | Olancho Department | 15.48333 | -85.65 | 0 | America/Tegucigalpa | populated place | |||
| 3610189 | El Tamarindo | HN | El Paraíso Department | 13.60083 | -87.00917 | 0 | America/Tegucigalpa | populated place | |||
| 3612987 | Culebría | HN | Copán Department | 14.8 | -88.71667 | 0 | America/Tegucigalpa | populated place | |||
| 3820503 | La Olla | HN | Francisco Morazán Department | 13.76222 | -87.49667 | 0 | America/Tegucigalpa | populated place | |||
| 3610199 | El Taladro | HN | Comayagua Department | 14.45 | -87.71667 | 0 | America/Tegucigalpa | populated place | |||
| 3607868 | La Gloria | HN | Copán Department | 14.98333 | -88.88333 | 0 | America/Tegucigalpa | populated place | |||
| 3600454 | Valle Arriba | HN | El Paraíso Department | 14.1 | -86.78333 | 0 | America/Tegucigalpa | populated place | |||
| 3602036 | San Juan | HN | Yoro Department | 15.16667 | -87.11667 | 0 | America/Tegucigalpa | populated place | |||
| 3819075 | Colonia Enrique Antonio Arias | HN | Choluteca Department | 13.37333 | -87.14639 | 0 | America/Tegucigalpa | populated place | |||
| 3820696 | Los Robles | HN | Francisco Morazán Department | 13.85583 | -87.38917 | 0 | America/Tegucigalpa | populated place | |||
| 3603038 | Quebrada Las Piñas | HN | El Paraíso Department | 13.61667 | -87.1 | 0 | America/Tegucigalpa | populated place | |||
| 3819413 | La Bolsa | HN | Choluteca Department | 13.635 | -87.28278 | 0 | America/Tegucigalpa | populated place | |||
| 3812301 | La Lumbrera | HN | El Paraíso Department | 13.5975 | -87.14778 | 0 | America/Tegucigalpa | populated place | |||
| 9222735 | Villa Santa | HN | El Paraíso Department | 14.0273 | -86.56862 | 0 | America/Tegucigalpa | populated place | |||
| 3613050 | Cruz de Piedra | Cruz de Piedra,Cruz de Piedras | HN | La Paz Department | 14.05 | -88 | 0 | America/Tegucigalpa | populated place | ||
| 3606736 | Las Huertas | HN | La Paz Department | 14.13333 | -88.08333 | 0 | America/Tegucigalpa | populated place | |||
| 3608662 | Jiniapa | Jiniapa,Juniapa | HN | Francisco Morazán Department | 14.48333 | -87.15 | 0 | America/Tegucigalpa | populated place | ||
| 3611694 | El Guayabo | El Guayabo,Guayabo | HN | El Paraíso Department | 13.66667 | -86.98333 | 0 | America/Tegucigalpa | populated place | ||
| 9222750 | Flor del Valle | HN | El Paraíso Department | 14.05966 | -86.00166 | 0 | America/Tegucigalpa | populated place | |||
| 12536320 | El Carrizo | El Carrizo | HN | Francisco Morazán Department | 14.08823 | -87.10299 | 0 | America/Tegucigalpa | populated place | ||
| 3612390 | El Carmen | HN | Yoro Department | 15.41667 | -87.65 | 0 | America/Tegucigalpa | populated place | |||
| 3600142 | Zalum | HN | La Paz Department | 14.11667 | -87.91667 | 0 | America/Tegucigalpa | populated place | |||
| 3607798 | Laguna Seca | HN | Santa Bárbara Department | 15.21667 | -88.6 | 0 | America/Tegucigalpa | populated place | |||
| 3610947 | El Paraíso | HN | Yoro Department | 15.36667 | -87.76667 | 0 | America/Tegucigalpa | populated place | |||
| 3608339 | La Camisa | HN | Cortés Department | 15.75 | -88.03333 | 0 | America/Tegucigalpa | populated place | |||
| 3610011 | El Urraco | El Urraco,Urraco | HN | Cortés Department | 15.26667 | -88.03333 | 0 | America/Tegucigalpa | populated place | ||
| 3612718 | El Águila | HN | Santa Bárbara Department | 14.83333 | -88.5 | 0 | America/Tegucigalpa | populated place | |||
| 3614535 | Cabecera del Llano | HN | Copán Department | 14.6 | -88.85 | 0 | America/Tegucigalpa | populated place | |||
| 3610700 | El Portillo Grande | El Portillo Grande,Portillo Grande | HN | Comayagua Department | 14.81667 | -87.63333 | 0 | America/Tegucigalpa | populated place | ||
| 3602852 | Reitoca | Reitoca,Reitoco | HN | Francisco Morazán Department | 13.82583 | -87.46528 | 1094 | America/Tegucigalpa | populated place | ||
| 3819616 | El Rodeito | HN | Francisco Morazán Department | 13.95361 | -87.01583 | 0 | America/Tegucigalpa | populated place | |||
| 3609981 | El Vijagual | El Vijagual,Vijagual | HN | Intibucá Department | 14.6 | -88.25 | 0 | America/Tegucigalpa | populated place | ||
| 3601018 | Tapaire | HN | Choluteca Department | 13.39306 | -87.09222 | 0 | America/Tegucigalpa | populated place | |||
| 3603284 | Pozo Hondo | HN | Olancho Department | 15.08333 | -85.6 | 0 | America/Tegucigalpa | populated place | |||
| 3608172 | La Ciénega | Cienega,La Cienaga,La Cienega,La Ciénaga,La Ciénega | HN | Francisco Morazán Department | 14.17922 | -87.22127 | 0 | America/Tegucigalpa | populated place | ||
| 3612906 | Danta | HN | Olancho Department | 14.4 | -87.78333 | 0 | America/Tegucigalpa | populated place | |||
| 3612534 | El Cacao | HN | Choluteca Department | 13.23333 | -86.95 | 0 | America/Tegucigalpa | populated place | |||
| 3614889 | Baluarte | HN | Santa Bárbara Department | 14.75 | -88.23333 | 0 | America/Tegucigalpa | populated place | |||
| 3611892 | El Dorado | El Dorado,Rinconada del Dorado | HN | El Paraíso Department | 13.56667 | -87.1 | 0 | America/Tegucigalpa | populated place | ||
| 3609143 | Guaymas Arriba | HN | Yoro Department | 15.15 | -87.88333 | 0 | America/Tegucigalpa | populated place | |||
| 3608175 | La Ciénega | Cienaga,La Cienaga,La Cienega,La Ciénega | HN | Francisco Morazán Department | 13.76361 | -87.26 | 0 | America/Tegucigalpa | populated place | ||
| 3606326 | Las Tablas | Las Tablas | HN | Francisco Morazán Department | 14.08566 | -87.12306 | 0 | America/Tegucigalpa | populated place | ||
| 3606610 | Las Mangas | HN | Colón Department | 15.51667 | -85.25 | 0 | America/Tegucigalpa | populated place | |||
| 3611461 | El Junquillo | HN | La Paz Department | 13.83333 | -87.63333 | 0 | America/Tegucigalpa | populated place | |||
| 3607585 | La Laguna | HN | Yoro Department | 15 | -87.23333 | 0 | America/Tegucigalpa | populated place | |||
| 3603728 | Piedra Grande | HN | Lempira Department | 14.1 | -88.68333 | 0 | America/Tegucigalpa | populated place | |||
| 3602231 | San Isidro | Jacan,Jacán,Portillo Jacan,Portillo Jacán,San Isidro,San Isidro Jacan,San Isidro Jacán | HN | Lempira Department | 14.71667 | -88.5 | 0 | America/Tegucigalpa | populated place | ||
| 3601612 | Santa Elena | HN | Copán Department | 14.96667 | -88.83333 | 0 | America/Tegucigalpa | populated place | |||
| 3603372 | Postre Sabana | HN | Francisco Morazán Department | 14.25 | -87.31667 | 0 | America/Tegucigalpa | populated place | |||
| 9178704 | Juan Avelar | HN | Comayagua Department | 14.59716 | -87.83177 | 0 | America/Tegucigalpa | populated place | |||
| 3602897 | Rancho Lobos | HN | Lempira Department | 14.61667 | -88.63333 | 0 | America/Tegucigalpa | populated place | |||
| 3614912 | Bajo Grande | HN | Francisco Morazán Department | 14.71667 | -87.01667 | 0 | America/Tegucigalpa | populated place | |||
| 3610141 | El Terrero | El Terrero,Terrero | HN | Francisco Morazán Department | 13.86667 | -87.21667 | 0 | America/Tegucigalpa | populated place | ||
| 3607423 | La Marjana | La Marjana,Marjana | HN | Colón Department | 15.68333 | -85.25 | 0 | America/Tegucigalpa | populated place |
Honduras: Mapping a Nation Shaped by Mountains, Coasts, and Municipal Identity
The Geographic Soul of Central America
Honduras is not just a country on a map—it is a geography enthusiast’s canvas, etched with ridges, rivers, and richly layered administrative complexity. To understand Honduras is to engage with its terrain: a land where municipalities cling to cliffs, unfold along lowland coasts, and emerge from valleys fed by a lattice of rivers. It is here, in the intricate relationship between space, identity, and governance, that the true character of the country reveals itself.
As a geographer, my passion lies in decoding that character—not in abstract theory, but in actionable, structured data. The kind that brings every city into focus, situates it within its region and department, and precisely pins it on Earth through latitude and longitude. This is the motivation behind the detailed dataset I’ve built for Honduras.
Cities as Anchors of Structure and Change
Urbanization in Honduras is uneven, vibrant, and deeply connected to regional disparities. From the buzzing economic corridor of San Pedro Sula and its surrounding industrial zones, to the administrative gravitas of Tegucigalpa nestled in the central highlands, cities here are not just population centers—they are strategic nodes in a constantly evolving socio-geographic system.
My database reflects this complexity. Every city is catalogued with its corresponding department, reinforcing a sense of administrative order often overlooked in broader analyses. These departments—from Atlántida’s northern embrace of the Caribbean Sea to the dense pine forests of Olancho—form the framework for understanding demographic pressures, resource distribution, and policy implementation.
Why Latitude and Longitude Aren’t Optional
Location isn’t just a feature—it’s a force. Precise geolocation allows for more than map-making; it enables real-time logistics, climate modeling, electoral planning, and disaster response. In Honduras, a country regularly impacted by tropical storms and tectonic instability, knowing *exactly* where a city sits is the first step toward resilience.
That’s why I’ve included accurate latitude and longitude coordinates for every city in the dataset. This isn’t merely about academic curiosity—it’s about equipping researchers, planners, NGOs, and public servants with the precision they need to act decisively.
The Power of Excel: A Democratic Leap in Geographic Access
Among the many formats offered—CSV, SQL, JSON, XML—it’s the addition of Excel (xlsx) that represents a turning point in accessibility. Excel isn't just a spreadsheet tool; it’s a medium through which powerful insights become readable, sortable, and usable by anyone with basic data literacy. Whether you're visualizing the distribution of cities across departments or filtering based on proximity to flood-prone regions, Excel delivers flexibility without technical barriers.
Its tabular structure makes it easy to spot patterns, summarize counts, and sort by department or alphabetical order. It’s a perfect entry point for educators, journalists, local officials, and small NGOs who may lack advanced GIS tools but still need robust geographic intelligence.
Departments That Define Geography
Honduras is divided into 18 departments, each with a distinct cultural and ecological identity. Lempira and Intibucá rise with the mountains; Gracias a Dios stretches into the Miskito Coast's tropical isolation; and Valle sits in the dry Pacific lowlands, serving as a gateway to El Salvador.
The inclusion of departmental affiliation for each city within the database is no trivial matter—it allows for macro-regional analysis, the kind that helps researchers compare trends across lowland versus highland zones, or understand infrastructure gaps between coastal and inland populations.
A Living Dataset for a Nation in Motion
Geography is never static—and neither is Honduras. Migration patterns shift urban priorities, climate change redraws hazard zones, and infrastructure projects redefine accessibility. A living database must reflect this dynamic. That’s why my city-level dataset for Honduras is structured, updated, and adaptable for integration into a wide range of planning tools and analytical models.
Whether your goal is to overlay road networks, calculate distances between population centers, or build a map-driven mobile app for field deployment, the data is ready. Clean, normalized, and available in multiple formats, but with a spotlight on Excel for ease of use and universality.
Conclusion: Honduras in Rows, Columns, and Coordinates
To map Honduras is to trace the contours of a nation still writing its story in valleys, ports, and plateaus. My database doesn’t just catalog cities—it respects their context. By delivering detailed, structured information on every city, its department, and precise geographic location, and making it available in formats like Excel, I aim to offer not just a dataset—but a platform for exploration, analysis, and development.
In geography, clarity is power. And through Excel and its companion formats, the full geographic picture of Honduras is now within reach.
