El Salvador 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 El Salvador, 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 3496 geographic locations across El Salvador.
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 El Salvador is San Salvador.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 3586779 | El Amatal | SV | La Paz | 13.38333 | -88.96667 | 0 | America/El_Salvador | populated place | |||
| 3584185 | Pacayas | Las Pacayas,Pacayas | SV | Chalatenango | 14.13333 | -88.93333 | 0 | America/El_Salvador | populated place | ||
| 3585423 | Joya Ancha Abajo | Joya Ancha,Joya Ancha Abajo | SV | Usulután | 13.41667 | -88.41667 | 0 | America/El_Salvador | populated place | ||
| 3586646 | El Carrizal | SV | Morazán | 14.01667 | -88.13333 | 0 | America/El_Salvador | populated place | |||
| 3586566 | El Coco | SV | Usulután | 13.5 | -88.45 | 0 | America/El_Salvador | populated place | |||
| 3585757 | Espino Abajo | El Espino Abajo,Espino Abajo | SV | La Paz | 13.5 | -88.86667 | 0 | America/El_Salvador | populated place | ||
| 3586092 | El Portillo | Canton Portillo,Cantón Portillo,El Portillo | SV | La Unión | 13.79417 | -87.86 | 0 | America/El_Salvador | populated place | ||
| 3585574 | Hacienda Los Jobos | Hacienda Los Jobos,Los Jobos | SV | Chalatenango | 14.08333 | -89.41667 | 0 | America/El_Salvador | populated place | ||
| 3584302 | Nahualapa | Hacienda Nahualapa,Nahualapa | SV | La Paz | 13.46667 | -89 | 0 | America/El_Salvador | populated place | ||
| 3584780 | La Trinidad | SV | San Miguel | 13.55 | -88.11667 | 0 | America/El_Salvador | populated place | |||
| 3584847 | Las Peñas | Caserio Las Penas,CaserÃo Las Peñas,Las Penas,Las Peñas | SV | Chalatenango | 14.15 | -89.15 | 0 | America/El_Salvador | populated place | ||
| 3586070 | El Presidio | Caserio El Presidio,Caserio Presidio,CaserÃo El Presidio,CaserÃo Presidio,El Presidio | SV | Sonsonate | 13.57222 | -89.71722 | 0 | America/El_Salvador | populated place | ||
| 3586037 | El Roble | SV | Ahuachapán | 13.98333 | -89.81667 | 0 | America/El_Salvador | populated place | |||
| 3584975 | Las Delicias | SV | Usulután | 13.55 | -88.56667 | 0 | America/El_Salvador | populated place | |||
| 3584920 | Las Lajas | SV | La Paz | 13.56667 | -89.06667 | 0 | America/El_Salvador | populated place | |||
| 3585225 | La Guacamaya | Guacamaya,Guacamayo,La Guacamaya | SV | Sonsonate | 13.78472 | -89.75278 | 0 | America/El_Salvador | populated place | ||
| 3586636 | El Castillo | SV | La Libertad | 13.91111 | -89.43972 | 0 | America/El_Salvador | populated place | |||
| 3765247 | Tegal | SV | Ahuachapán | 13.85639 | -90.005 | 0 | America/El_Salvador | populated place | |||
| 3584633 | Los Ejidos | SV | San Miguel | 13.55 | -88.25 | 0 | America/El_Salvador | populated place | |||
| 3586215 | El Ocre | SV | La Unión | 13.25 | -87.86667 | 0 | America/El_Salvador | populated place | |||
| 3585551 | Hacienda San José Arrazola | Hacienda San Jose,Hacienda San Jose Arrazola,Hacienda San José,Hacienda San José Arrazola,San Jose Arrazola,San José Arrazola | SV | San Salvador | 13.81667 | -89.13333 | 0 | America/El_Salvador | populated place | ||
| 3587161 | Candelaria | SV | Chalatenango | 13.96667 | -88.86667 | 0 | America/El_Salvador | populated place | |||
| 3587272 | Belén | Belen,Belén,Caserio Belen,CaserÃo Belén | SV | Santa Ana | 14.28333 | -89.38333 | 0 | America/El_Salvador | populated place | ||
| 3583264 | Santa Isabel | SV | Cuscatlán | 13.7 | -88.93333 | 0 | America/El_Salvador | populated place | |||
| 3587128 | Cauta Abajo | SV | Ahuachapán | 13.73333 | -89.86667 | 0 | America/El_Salvador | populated place | |||
| 3587140 | Carrasco | SV | Cabañas | 13.86667 | -88.95 | 0 | America/El_Salvador | populated place | |||
| 3587123 | Ceibillas | Ceibillas,Ceibios | SV | La Unión | 13.46472 | -87.94222 | 0 | America/El_Salvador | populated place | ||
| 3585065 | La Poza | La Poza,San Jose de La Poza,San José de La Poza | SV | Usulután | 13.35 | -88.5 | 0 | America/El_Salvador | populated place | ||
| 3586684 | El Caragual | SV | Usulután | 13.6 | -88.48333 | 0 | America/El_Salvador | populated place | |||
| 3585030 | Las Angosturas | La Angostura,Las Angosturas,Los Angostures | SV | La Libertad | 13.74167 | -89.33111 | 0 | America/El_Salvador | populated place | ||
| 3585072 | La Pinte | SV | Cabañas | 13.98333 | -88.7 | 0 | America/El_Salvador | populated place | |||
| 3585973 | El Salto | SV | San Miguel | 13.32722 | -88.16389 | 0 | America/El_Salvador | populated place | |||
| 3585091 | La Parada | SV | Santa Ana | 14.08333 | -89.61667 | 0 | America/El_Salvador | populated place | |||
| 3583305 | Santa Clara | SV | La Unión | 13.58889 | -87.77556 | 0 | America/El_Salvador | populated place | |||
| 3585678 | Gualache | SV | Usulután | 13.41667 | -88.5 | 0 | America/El_Salvador | populated place | |||
| 3586727 | El Bejuco | Caserio El Bejuco,CaserÃo El Bejuco,El Bejuco | SV | Santa Ana | 13.93333 | -89.51667 | 0 | America/El_Salvador | populated place | ||
| 3583457 | San Miguel de Mercedes | San Miguel Mercedes,San Miguel de Mercedes | SV | Chalatenango | 14.01667 | -88.93333 | 0 | America/El_Salvador | populated place | ||
| 3585386 | Jutillo | El Jutillo,El Jutio,Jutillo | SV | San Salvador | 13.58333 | -89.21667 | 0 | America/El_Salvador | populated place | ||
| 3583732 | San Francisco Angulo | SV | San Vicente | 13.51667 | -88.81667 | 0 | America/El_Salvador | populated place | |||
| 3583474 | San Marcos Lempa | San Marcos,San Marcos Lempa | SV | Usulután | 13.43333 | -88.7 | 0 | America/El_Salvador | populated place | ||
| 3583922 | Salcoatitán | Salcoatitan,Salcoatitán,Salcotitan | SV | Sonsonate | 13.82861 | -89.75833 | 0 | America/El_Salvador | populated place | ||
| 3586088 | El Portillo del Ujushte | El Portillo del Ujushte,Portillo del Ujushte | SV | La Unión | 13.26667 | -87.95 | 0 | America/El_Salvador | populated place | ||
| 3586260 | El Molino | El Molino,Molino | SV | La Unión | 13.74806 | -87.75444 | 0 | America/El_Salvador | populated place | ||
| 3735362 | La Canoa | SV | San Miguel | 13.34028 | -88.17556 | 0 | America/El_Salvador | populated place | |||
| 3584247 | Nuevo Edén de San Juan | Nuevo Eden de San Juan,Nuevo Edén de San Juan | SV | San Miguel | 13.81667 | -88.48333 | 0 | America/El_Salvador | populated place | ||
| 3585474 | Istagua | SV | Cuscatlán | 13.80139 | -89.03639 | 0 | America/El_Salvador | populated place | |||
| 3584475 | Los Zelaya | Canton Los Zelaya,Cantón Los Zelaya,Las Zelayas,Los Zelaya,Los Zelayas | SV | San Miguel | 13.41667 | -88.38333 | 0 | America/El_Salvador | populated place | ||
| 3585019 | Las Barrancas | Barranca,Las Barrancas | SV | San Miguel | 13.78333 | -88.48333 | 0 | America/El_Salvador | populated place | ||
| 3764651 | CaserÃo Las Conchas | Caserio Las Conchas,CaserÃo Las Conchas,Las Conchas | SV | Santa Ana | 14.30556 | -89.51528 | 0 | America/El_Salvador | populated place | ||
| 3586394 | El Jabalà | SV | La Libertad | 13.76444 | -89.3025 | 0 | America/El_Salvador | populated place | |||
| 3734992 | La Cumbre | SV | San Miguel | 13.32222 | -88.15278 | 0 | America/El_Salvador | populated place | |||
| 3585583 | Hacienda La Isla | Hacienda La Isla,La Isla | SV | La Libertad | 13.84917 | -89.33972 | 0 | America/El_Salvador | populated place | ||
| 3584561 | Los MenjÃvar | Los Menjivar,Los MenjÃvar,Menjivar | SV | Cabañas | 13.85 | -88.83333 | 0 | America/El_Salvador | populated place | ||
| 3586945 | Conacastal | SV | San Miguel | 13.43333 | -88.3 | 0 | America/El_Salvador | populated place | |||
| 3586379 | El JÃcaro | SV | Cabañas | 13.81667 | -88.65 | 0 | America/El_Salvador | populated place | |||
| 3584617 | Los Hatillos | Hatillos,Los Hatillos | SV | La Unión | 13.55 | -87.96667 | 0 | America/El_Salvador | populated place | ||
| 3586558 | El Conacaste | Conacaste,El Conacaste | SV | La Paz | 13.66667 | -88.9 | 0 | America/El_Salvador | populated place | ||
| 3583925 | Salamar | SV | Usulután | 13.26667 | -88.35 | 0 | America/El_Salvador | populated place | |||
| 3584556 | Los Morales | SV | Chalatenango | 14.03333 | -88.78333 | 0 | America/El_Salvador | populated place | |||
| 3734858 | El Carmelo | SV | Usulután | 13.26194 | -88.24306 | 0 | America/El_Salvador | populated place | |||
| 3586110 | El Platanar | El Platanar,Platanares | SV | Cabañas | 13.88333 | -88.88333 | 0 | America/El_Salvador | populated place | ||
| 3585239 | La Flor | SV | San Salvador | 13.73333 | -89.05 | 0 | America/El_Salvador | populated place | |||
| 3735023 | El Mostacillar | SV | San Miguel | 13.29 | -88.12861 | 0 | America/El_Salvador | populated place | |||
| 3583937 | Rosario de Mora | Rosario de Mora | SV | San Salvador | 13.57528 | -89.20889 | 5178 | America/El_Salvador | populated place | ||
| 3584506 | Los Ranchos | SV | San Miguel | 13.38444 | -88.07972 | 0 | America/El_Salvador | populated place | |||
| 3584134 | Paso Hondo | Paso Hondo,Pozo Hondo | SV | San Miguel | 13.71667 | -88.43333 | 0 | America/El_Salvador | populated place | ||
| 3583858 | San Antonio Angeleño | Caserio Los Angeles,CaserÃo Los Angeles,San Antonio Angeleno,San Antonio Angeleño | SV | Santa Ana | 14.21 | -89.55639 | 0 | America/El_Salvador | populated place | ||
| 3586272 | El Matazano | SV | Santa Ana | 14.18333 | -89.33333 | 0 | America/El_Salvador | populated place | |||
| 3586143 | El Pepeto | SV | Chalatenango | 14.23333 | -89.16667 | 0 | America/El_Salvador | populated place | |||
| 3587269 | Beneficio El Marquesado | Beneficio El Marquesado,Hacienda El Marquezado,Hacienda Marquezado | SV | Usulután | 13.5 | -88.45 | 0 | America/El_Salvador | populated place | ||
| 3583704 | San Ildefonso | San Ildefonso | SV | San Vicente | 13.7 | -88.56667 | 0 | America/El_Salvador | populated place | ||
| 3587294 | AzacualpÃa de Gualcho | Azacualpa Gualcho,Azacualpa de Gualcho,Azacualpia de Gualcho,AzacualpÃa de Gualcho | SV | Usulután | 13.63333 | -88.45 | 0 | America/El_Salvador | populated place | ||
| 3586410 | El Havillal | El Havilla,El Havillal | SV | San Miguel | 13.55 | -88.16667 | 0 | America/El_Salvador | populated place | ||
| 3585572 | Hacienda Madresal | Hacienda Madresal,Madresal | SV | Usulután | 13.21667 | -88.53333 | 0 | America/El_Salvador | populated place | ||
| 3585297 | La Cruz | Barrie La Cruz,La Cruz | SV | Cuscatlán | 13.75 | -89.05 | 0 | America/El_Salvador | populated place | ||
| 3811527 | Las Cruces | Las Cruces,Plan de La Mesa | SV | La Unión | 13.5425 | -87.99194 | 0 | America/El_Salvador | populated place | ||
| 3584579 | Los Llanitos | SV | Cabañas | 13.88333 | -88.63333 | 0 | America/El_Salvador | populated place | |||
| 3584177 | Palacios | Canton Palacios,Cantón Palacios,Palacios,Valle Palacios | SV | Cuscatlán | 13.83333 | -89.06667 | 0 | America/El_Salvador | populated place | ||
| 3583919 | Salinas de Sisiguayo | Salinas El Sisihuayo,Salinas de Sisiguayo | SV | Usulután | 13.28333 | -88.68333 | 0 | America/El_Salvador | populated place | ||
| 3583678 | San Jacinto | SV | San Miguel | 13.6 | -88.2 | 0 | America/El_Salvador | populated place | |||
| 3586645 | El Carrizal | Caserio El Carrizal,CaserÃo El Carrizal,El Carrizal | SV | Santa Ana | 14.16667 | -89.38333 | 0 | America/El_Salvador | populated place | ||
| 3586361 | El Jocote | SV | Cabañas | 13.8 | -88.53333 | 0 | America/El_Salvador | populated place | |||
| 3586422 | El Guayabo | SV | Chalatenango | 14.05 | -89.43333 | 0 | America/El_Salvador | populated place | |||
| 3583948 | RÃo Vargas | Rio Vargas,Rio de Vargas,RÃo Vargas,RÃo de Vargas | SV | San Miguel | 13.49361 | -88.05306 | 0 | America/El_Salvador | populated place | ||
| 3584602 | Los Izotes | Los Isotes,Los Izotes | SV | La Libertad | 13.63333 | -89.53333 | 0 | America/El_Salvador | populated place | ||
| 3586560 | El Común | SV | Chalatenango | 14.2 | -89.03333 | 0 | America/El_Salvador | populated place | |||
| 3584953 | Las Flores | Canton Las Flores,Cantón Las Flores,Las Flores | SV | San Salvador | 13.79889 | -89.13167 | 0 | America/El_Salvador | populated place | ||
| 3584876 | Las Mesas | Canton Las Mesas,Cantón Las Mesas,Las Mesas | SV | La Libertad | 13.99167 | -89.33056 | 0 | America/El_Salvador | populated place | ||
| 3586635 | El Caulote | SV | Usulután | 13.58333 | -88.5 | 0 | America/El_Salvador | populated place | |||
| 3585966 | El Sauce | El Sauce | SV | La Unión | 13.66889 | -87.80056 | 0 | America/El_Salvador | populated place | ||
| 3582985 | Tenango | Caserio Tenango,CaserÃo Tenango,Tenango | SV | Cuscatlán | 13.88333 | -89.01667 | 0 | America/El_Salvador | populated place | ||
| 3582871 | Valle Campana | Campana,Valle Campana | SV | Santa Ana | 13.85 | -89.61667 | 0 | America/El_Salvador | populated place | ||
| 3586876 | Corral de Piedras | SV | Cabañas | 13.86667 | -88.76667 | 0 | America/El_Salvador | populated place | |||
| 3583270 | Santa Emilia | Canton Santa Emilia,Cantón Santa Emilia,Hacienda Santa Emilia,Santa Emilia | SV | Sonsonate | 13.68333 | -89.73333 | 0 | America/El_Salvador | populated place | ||
| 3584812 | Las Termópilas | Caserio Las Termopilas,CaserÃo Las Termópilas,Las Termopilas,Las Termópilas | SV | La Libertad | 13.56167 | -89.46972 | 0 | America/El_Salvador | populated place | ||
| 3583874 | San Antonio | SV | La Libertad | 13.895 | -89.42722 | 0 | America/El_Salvador | populated place | |||
| 3587441 | Agua Shuca | SV | Sonsonate | 13.7 | -89.56667 | 0 | America/El_Salvador | populated place | |||
| 3586512 | El Cuje | SV | Santa Ana | 13.98333 | -89.66667 | 0 | America/El_Salvador | populated place | |||
| 3587051 | Chilamates | Chilamates,Los Chilamates | SV | Chalatenango | 14.05 | -89.21667 | 0 | America/El_Salvador | populated place | ||
| 3585614 | Hacienda Buena Vista | Buena Vista,Hacienda Buena Vista | SV | Cuscatlán | 13.71667 | -89.03333 | 0 | America/El_Salvador | populated place |
El Salvador: Mapping Identity in the Land of Volcanoes
A Geographer’s Gaze Toward the Pacific
El Salvador may be the smallest country in continental Central America, yet from a geographer’s point of view, it is a landscape of immense complexity and unexpected richness. Wedged between Guatemala, Honduras, and the Pacific Ocean, this compact nation defies its size with an intricate patchwork of cities, volcanic valleys, and deeply rooted administrative divisions.
Understanding El Salvador’s urban structure is not a mere academic exercise—it is essential for planning, research, and development in a country where geography shapes not only the land but the pulse of its people.
The Role of Departments in Urban Definition
El Salvador is divided into 14 departments, each carrying distinctive topographies, climates, and economic roles. From the densely populated department of San Salvador to the lush coffee-growing region of Ahuachapán, each department is more than a boundary—it is a story of identity, governance, and spatial evolution.
To work effectively with any form of demographic, infrastructural, or regional analysis, one must not only know the cities by name but locate them precisely within their department and corresponding region. Our curated dataset does exactly that, offering clean, hierarchical data for each urban entity across El Salvador.
City Coordinates: Anchoring Precision in Planning
In a country as seismically active and geographically diverse as El Salvador, accurate geolocation is paramount. Cities may lie within valleys shaped by ancient lava flows or rest along coastal plains vulnerable to tropical systems. The ability to pinpoint each city with exact latitude and longitude elevates your capacity to model risk, plan development, and map opportunities.
Our database includes geospatial coordinates for each city, ensuring that whether you’re modeling climate exposure or optimizing delivery logistics, your data is rooted in geographic accuracy.
Excel: The Essential Tool for Everyday Spatial Work
One of the most significant advancements in how we share this data is the addition of the Excel (.xlsx) format. For analysts, policymakers, NGOs, and local municipalities in El Salvador and abroad, Excel remains the gold standard for everyday data analysis. Its intuitive layout, compatibility with charts and filters, and universal accessibility make it the go-to format for geographers and non-specialists alike.
Whether you want to isolate cities by department, calculate population density across departments, or merge your urban data with socio-economic indicators, Excel provides the agility and clarity to do so effortlessly.
Multiple Formats for Maximum Integration
While Excel is now at the forefront, we haven’t neglected the rest. Our dataset is also available in CSV, SQL, JSON, and XML—formats essential for developers, GIS professionals, and backend systems. This flexibility ensures that our data integrates easily with applications ranging from interactive maps to urban planning platforms and academic models.
El Salvador’s data deserves this level of accessibility, and we’re proud to offer it in forms that serve every use case.
Cities as Cultural and Economic Engines
Each city in El Salvador represents more than a population count—it is a node of culture, economy, and resilience. From the artisanal traditions of Suchitoto to the industrial activities of Soyapango, urban life reflects a dynamic interplay between heritage and progress. Capturing the full scope of these cities, in context with their administrative region and geospatial coordinates, unlocks a new layer of understanding.
Our database is built to support that exploration—not just for cartographers, but for educators, entrepreneurs, and decision-makers.
Conclusion: Geography Meets Functionality
El Salvador is not a country to be skimmed. It is a land of deep textures and tightly woven urban histories. With the updated inclusion of Excel in our delivery formats, accessing clean, structured, and complete city data has never been more straightforward.
Whether you're designing a regional development plan or simply mapping the heartbeat of Central America’s smallest giant, this dataset is your compass. Available in Excel (.xlsx), CSV, SQL, JSON, and XML—it is geography, refined and ready to serve.
