El Salvador cities list with latitude and longitude in CSV, XML, SQL, JSON format
Last update : 19 January 2025.
Below is a list of 100 prominent cities in El Salvador. Each row includes a city's latitude, longitude, region and other variables of interest. This is a subset of all 3496 places in El Salvador 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 El Salvador is San Salvador.
Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
---|---|---|---|---|---|---|---|---|---|---|---|
3765252 | Puente Arce | SV | Ahuachapán | 13.85917 | -90.08444 | 0 | America/El_Salvador | populated place | |||
3583612 | San José Carbonera | La Carbonera,San Jose Carbonera,San José Carbonera | SV | San Vicente | 13.61667 | -88.88333 | 0 | America/El_Salvador | populated place | ||
3584105 | Perquín | Perquin,Perquín | SV | Morazán | 13.95 | -88.16667 | 0 | America/El_Salvador | populated place | ||
3583762 | San Felipe | SV | Morazán | 13.76028 | -87.98417 | 0 | America/El_Salvador | populated place | |||
3735114 | La Cañada | SV | La Unión | 13.24139 | -88.06778 | 0 | America/El_Salvador | populated place | |||
3584488 | Los Talpetates | El Talpetate,Los Talpetates | SV | San Miguel | 13.37222 | -88.11028 | 0 | America/El_Salvador | populated place | ||
3587186 | Campamento Guajoyo | SV | Santa Ana | 14.21667 | -89.46667 | 0 | America/El_Salvador | populated place | |||
3583696 | San Isidro | SV | La Paz | 13.61667 | -88.95 | 0 | America/El_Salvador | populated place | |||
3584738 | Llano de la Hacienda | SV | Cabañas | 13.81667 | -88.7 | 0 | America/El_Salvador | populated place | |||
3735321 | Gualuca | SV | San Miguel | 13.34667 | -88.21306 | 0 | America/El_Salvador | populated place | |||
3734875 | El Chichipate | SV | Usulután | 13.22889 | -88.17333 | 0 | America/El_Salvador | populated place | |||
3584588 | Los Limones | Hacienda Los Limones,Los Limones | SV | La Paz | 13.43333 | -88.95 | 0 | America/El_Salvador | populated place | ||
3584628 | Los Espinos | SV | Usulután | 13.58333 | -88.4 | 0 | America/El_Salvador | populated place | |||
3586147 | El Pepeto | SV | Cabañas | 13.81667 | -88.63333 | 0 | America/El_Salvador | populated place | |||
3585534 | Hacienda Tongolona | Hacienda Tangolona,Hacienda Tongolona,Tangolona,Tongolona | SV | San Miguel | 13.58333 | -88.25 | 0 | America/El_Salvador | populated place | ||
3585834 | El Ujushte | SV | Usulután | 13.35 | -88.43333 | 0 | America/El_Salvador | populated place | |||
3583178 | San Vicente | San Vicente,San Vincente | SV | San Vicente | 13.63333 | -88.8 | 41504 | America/El_Salvador | seat of a first-order administrative division | ||
3582950 | Tierra Blanca | Nueva Esperanza,Tierra Blanca | SV | Usulután | 13.38333 | -88.65 | 0 | America/El_Salvador | populated place | ||
3584501 | Los Ranchos | Caserio Los Ranchos,Caserío Los Ranchos,Los Ranchos | SV | Santa Ana | 14.25 | -89.33333 | 0 | America/El_Salvador | populated place | ||
3586156 | El Pedregal | El Pedregal | SV | La Paz | 13.45111 | -89.02333 | 0 | America/El_Salvador | populated place | ||
3586726 | El Bejuco | Caserio El Bejuco,Caserío El Bejuco,El Bejuco | SV | San Salvador | 14 | -89.26667 | 0 | America/El_Salvador | populated place | ||
3584316 | Morontepeque | SV | Cabañas | 13.81667 | -88.71667 | 0 | America/El_Salvador | populated place | |||
3583709 | San Gregorio | SV | Cabañas | 13.91667 | -88.55 | 0 | America/El_Salvador | populated place | |||
3582889 | Ulapa | SV | La Paz | 13.51667 | -88.88333 | 0 | America/El_Salvador | populated place | |||
3586823 | Cuyagualo | SV | Sonsonate | 13.76361 | -89.62861 | 0 | America/El_Salvador | populated place | |||
3586556 | Conacaste | Canton Conacaste,Cantón Conacaste,Conacaste,El Conacaste | SV | La Libertad | 13.83333 | -89.40333 | 0 | America/El_Salvador | populated place | ||
3582966 | Tepetitán | Nuevo Tepetitan,Nuevo Tepetitán,Tepetitan,Tepetitán | SV | San Vicente | 13.65 | -88.83333 | 0 | America/El_Salvador | populated place | ||
3586866 | Cruzadilla de Vaqueranos | Caserio Cruzadilla de Yaquerano,Caserío Cruzadilla de Yaquerano,Cruzadilla,Cruzadilla de Vaqueranos | SV | San Vicente | 13.43333 | -88.78333 | 0 | America/El_Salvador | populated place | ||
3585556 | Hacienda San Cayetano | Hacienda San Cayetano,San Cayetano | SV | Santa Ana | 14.03333 | -89.51667 | 0 | America/El_Salvador | populated place | ||
3583768 | San Felipe | SV | Usulután | 13.26667 | -88.35 | 0 | America/El_Salvador | populated place | |||
3583144 | Sicahuite | Sicaguite,Sicagüite,Sicahuite | SV | Morazán | 13.91667 | -88.26667 | 0 | America/El_Salvador | populated place | ||
3585589 | Hacienda La Carrera | Hacienda La Carrera,La Carrera | SV | Usulután | 13.3 | -88.5 | 0 | America/El_Salvador | populated place | ||
3585433 | Jobal Arrozales | Arrozales,Caserio El Jobal,Caserío El Jobal,El Jobal,Jobal Arrozales,Joval | SV | Usulután | 13.4 | -88.61667 | 0 | America/El_Salvador | populated place | ||
3584487 | Los Talpetates | SV | Usulután | 13.55 | -88.58333 | 0 | America/El_Salvador | populated place | |||
3587482 | Agua Caliente | Agua Caliente | SV | Chalatenango | 14.18333 | -89.23333 | 0 | America/El_Salvador | populated place | ||
3586499 | El Desparrame | El Desparrame,El Desparramo | SV | Usulután | 13.3 | -88.41667 | 0 | America/El_Salvador | populated place | ||
3810456 | El Cerro | SV | Santa Ana | 13.93861 | -89.46417 | 0 | America/El_Salvador | populated place | |||
3585647 | Guayabo | El Guayabo,Guayabo | SV | La Unión | 13.8 | -87.73333 | 0 | America/El_Salvador | populated place | ||
3585411 | Joya El Zapote | El Zapote,Joya El Zapote,Joya del Zapote | SV | Ahuachapán | 13.95 | -89.75 | 0 | America/El_Salvador | populated place | ||
3584284 | Nejapa | Nejapa | SV | San Salvador | 13.81472 | -89.23139 | 0 | America/El_Salvador | populated place | ||
3586554 | El Conacaste | Conacaste,El Conacaste | SV | Chalatenango | 14.08333 | -88.86667 | 0 | America/El_Salvador | populated place | ||
3735026 | El Espino | SV | San Miguel | 13.31389 | -88.095 | 0 | America/El_Salvador | populated place | |||
3584194 | Ostúa | Hacienda Ostua,Hacienda Ostúa,Ostua,Ostúa | SV | Santa Ana | 14.32528 | -89.55028 | 0 | America/El_Salvador | populated place | ||
3584039 | Portillo Blanco | SV | San Miguel | 13.9 | -88.3 | 0 | America/El_Salvador | populated place | |||
3583516 | San Lorenzo | Caserio San Lorenzo,Caserío San Lorenzo,San Lorenzo | SV | Usulután | 13.48333 | -88.55 | 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 | ||
3585907 | El Talpetate | SV | Usulután | 13.33333 | -88.48333 | 0 | America/El_Salvador | populated place | |||
3583591 | San José Las Flores | San Jose Las Flores,San Jose de las Flores,San José Las Flores | SV | Santa Ana | 13.86889 | -89.51083 | 0 | America/El_Salvador | populated place | ||
3586820 | Cuyantepeque | Canton Cuyantepec,Cantón Cuyantepec,Cuyantepec,Cuyantepeque | SV | Cabañas | 13.83333 | -88.61667 | 0 | America/El_Salvador | populated place | ||
3584651 | Los Chagüites | SV | Chalatenango | 14.3 | -89.08333 | 0 | America/El_Salvador | populated place | |||
3583763 | San Felipe | Caserio San Felipe,Caserío San Felipe,San Felipe | SV | San Vicente | 13.65 | -88.68333 | 0 | America/El_Salvador | populated place | ||
3585704 | Guacamaya | SV | Morazán | 13.86667 | -88.11667 | 0 | America/El_Salvador | populated place | |||
3585445 | Jicalapa | Jicalapa | SV | La Libertad | 13.55278 | -89.50667 | 0 | America/El_Salvador | populated place | ||
3587161 | Candelaria | SV | Chalatenango | 13.96667 | -88.86667 | 0 | America/El_Salvador | populated place | |||
3585921 | El Tablón | SV | San Miguel | 13.75 | -88.36667 | 0 | America/El_Salvador | populated place | |||
3585882 | El Tejar | SV | La Unión | 13.3275 | -88.00361 | 0 | America/El_Salvador | populated place | |||
3587418 | Aldea Mercedes | Aldea Mercedes,Aldea de Mercedes | SV | San Salvador | 13.8 | -89.2 | 0 | America/El_Salvador | populated place | ||
3584597 | Los Jobos | El Jobo,Los Jobos | SV | Cabañas | 13.85 | -88.68333 | 0 | America/El_Salvador | populated place | ||
3584142 | Paredes | Hacienda Paredes,Paredes | SV | La Paz | 13.45 | -88.83333 | 0 | America/El_Salvador | populated place | ||
3585585 | Hacienda La Florida | Hacienda La Florida,La Florida | SV | Santa Ana | 14.13333 | -89.46667 | 0 | America/El_Salvador | populated place | ||
3585599 | Hacienda El Salto | SV | Ahuachapán | 13.78333 | -89.91667 | 0 | America/El_Salvador | populated place | |||
3583394 | San Rafael | SV | La Libertad | 13.5 | -89.35 | 0 | America/El_Salvador | populated place | |||
3587182 | Campanario | SV | San Vicente | 13.5 | -88.8 | 0 | America/El_Salvador | populated place | |||
3587101 | Cerros de San Pedro | Cerro de San Pedro,Cerros de San Pedro | SV | San Vicente | 13.76667 | -88.75 | 0 | America/El_Salvador | populated place | ||
3583177 | San Vicente | San Vicente,San Vincente | SV | Santa Ana | 14.15 | -89.66667 | 0 | America/El_Salvador | populated place | ||
3584962 | Las Dispensas | SV | La Libertad | 13.58833 | -89.27083 | 0 | America/El_Salvador | populated place | |||
3735178 | Gualosito | SV | San Miguel | 13.21639 | -88.08528 | 0 | America/El_Salvador | populated place | |||
3586677 | El Carmen | Carmen,El Carmen | SV | La Unión | 13.35472 | -88 | 0 | America/El_Salvador | populated place | ||
3587336 | Arcatao | Arcatao | SV | Chalatenango | 14.08333 | -88.75 | 0 | America/El_Salvador | populated place | ||
3583261 | Santa Lucía | SV | San Miguel | 13.44917 | -88.22278 | 0 | America/El_Salvador | populated place | |||
3584043 | Plazuelas | SV | Chalatenango | 14.03333 | -88.7 | 0 | America/El_Salvador | populated place | |||
3585886 | El Tecolote | El Tecolote,Tecolote | SV | La Libertad | 13.6 | -89.46667 | 0 | America/El_Salvador | populated place | ||
3585844 | El Trillo | SV | Usulután | 13.31667 | -88.45 | 0 | America/El_Salvador | populated place | |||
3585136 | La Manzanilla | La Manzanilla,Manzanilla,Manzanillas | SV | Morazán | 13.73333 | -88.05 | 0 | America/El_Salvador | populated place | ||
3583224 | Santa Rosa | SV | La Libertad | 13.83 | -89.26167 | 0 | America/El_Salvador | populated place | |||
3585969 | El Salvador | El Salvador,Sal’vador,Zambullido,Сальвадор | SV | La Unión | 13.20306 | -87.70194 | 0 | America/El_Salvador | populated place | ||
3583750 | San Francisco | La Cruz,San Francisco | SV | Usulután | 13.51667 | -88.55 | 0 | America/El_Salvador | populated place | ||
3585303 | La Cruz | SV | Usulután | 13.24472 | -88.22417 | 0 | America/El_Salvador | populated place | |||
3585918 | El Tablón | SV | Morazán | 13.85 | -88.18333 | 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 | ||
3583934 | Rosario Tablón | El Rosario,El Rosario Tablon,El Rosario Tablón,Prisma,Rosario Tablon,Rosario Tablón,Rosario Toblon,Rosas | SV | Cuscatlán | 13.81667 | -88.95 | 0 | America/El_Salvador | populated place | ||
3584199 | Oromontique | SV | San Miguel | 13.48333 | -88.38333 | 0 | America/El_Salvador | populated place | |||
3583585 | San José Los Sitios | Los Sitios,San Jose Los Sitios,San José Los Sitios | SV | Chalatenango | 14.11667 | -89.03333 | 0 | America/El_Salvador | populated place | ||
3583771 | San Esteban Catarina | San Esteban,San Esteban Catarina | SV | San Vicente | 13.68333 | -88.78333 | 0 | America/El_Salvador | populated place | ||
3587157 | Candelaria de La Frontera | Candelaria,Candelaria de La Frontera,Candelario | SV | Santa Ana | 14.11667 | -89.65 | 6301 | America/El_Salvador | populated place | ||
3586230 | El Negro | El Negro,Negro | SV | La Unión | 13.85 | -87.91667 | 0 | America/El_Salvador | populated place | ||
3586848 | Cujucuyo | Cujucullo,Cujucuyo,Cuyucuyo | SV | Santa Ana | 14.08333 | -89.5 | 0 | America/El_Salvador | populated place | ||
3584934 | Las Hojas | SV | La Paz | 13.36361 | -89.04639 | 0 | America/El_Salvador | populated place | |||
3583386 | San Rafael | San Rafael | SV | Chalatenango | 14.13333 | -89.03333 | 0 | America/El_Salvador | populated place | ||
3584240 | Obrajuelo | El Obrajuelo,Obrajuelo | SV | Chalatenango | 14.13333 | -89.21667 | 0 | America/El_Salvador | populated place | ||
3584528 | Los Picachos | SV | La Unión | 13.85 | -87.9 | 0 | America/El_Salvador | populated place | |||
3584303 | Nacaspilo | El Nacaspilo,Nacaspilo | SV | Cabañas | 13.81667 | -88.58333 | 0 | America/El_Salvador | populated place | ||
3583758 | San Felipito | Caserio San Felipe,Caserío San Felipe,San Felipe,San Felipito | SV | San Vicente | 13.63333 | -88.68333 | 0 | America/El_Salvador | populated place | ||
3583932 | Sabana San Juan Abajo | SV | Sonsonate | 13.78333 | -89.71667 | 0 | America/El_Salvador | populated place | |||
3735282 | La Escondida | SV | San Miguel | 13.48333 | -88.14417 | 0 | America/El_Salvador | populated place | |||
3585915 | El Tablón | El Tablon,El Tablón,Tablon,Tablón | SV | Ahuachapán | 14.05 | -89.8 | 0 | America/El_Salvador | populated place | ||
3584566 | Los Martínez | SV | Chalatenango | 14.16667 | -89.08333 | 0 | America/El_Salvador | populated place | |||
3586288 | El Marillo | El Marillo,Hacienda Marillo,Valle El Marillo | SV | Usulután | 13.31667 | -88.73333 | 0 | America/El_Salvador | populated place | ||
3586026 | El Rodeo | SV | Morazán | 13.9 | -88.13333 | 0 | America/El_Salvador | populated place | |||
3583163 | Segura | Hacienda Segura,Segura | SV | La Libertad | 13.93333 | -89.23333 | 0 | America/El_Salvador | populated place |
**Exploring El Salvador: A Geographer's Perspective**
Introduction**
As a geographer delving into the intricate geography of El Salvador, the quest to obtain data on its cities, regions, and departments unveils a captivating narrative of spatial dynamics, cultural diversity, and environmental nuances. In this exploration, we embark on a journey to gather information on the cities of El Salvador, including their regions and departments, while also obtaining the latitude and longitude coordinates of each city. Through this lens, we uncover the geographical complexities and unique characteristics that define this vibrant Central American nation.
Mapping El Salvador's Urban Landscape**
El Salvador's urban landscape is a mosaic of bustling cities, historic towns, and rural settlements, each contributing to the country's socio-economic fabric. From the vibrant capital city of San Salvador to the colonial charm of Suchitoto and the coastal allure of La Libertad, mapping El Salvador's urban centers offers insights into population dynamics, infrastructure development, and urbanization trends. By analyzing the spatial distribution of cities and towns, geographers can discern patterns of urban growth, socio-economic disparities, and environmental challenges facing El Salvador's urban areas.
Exploring El Salvador's Regions and Departments**
Beyond its urban centers, El Salvador is divided into distinct regions and departments, each characterized by its unique topography, cultural heritage, and economic activities. From the volcanic landscapes of the Cordillera Central to the agricultural heartland of the Bajo Lempa region and the coastal plains of La Paz, exploring El Salvador's regions provides a glimpse into its rich natural diversity and historical significance. By mapping the administrative boundaries of regions and departments, geographers can analyze patterns of land use, resource distribution, and environmental conservation efforts, informing sustainable development strategies and policy interventions.
Obtaining Latitude and Longitude Data**
Accurate geographical coordinates are indispensable for navigating El Salvador's diverse terrain, from its rugged mountains to its pristine beaches. Obtaining latitude and longitude data for each city enables geographers to create detailed maps, conduct spatial analysis, and monitor environmental changes over time. By mapping the geographical coordinates of El Salvador's cities, geographers can contribute to disaster management, urban planning, and infrastructure development initiatives, ensuring efficient resource allocation and environmental protection.
Conclusion**
In conclusion, exploring El Salvador's geographical landscape offers a profound insight into its cultural heritage, socio-economic dynamics, and environmental challenges. By obtaining data on El Salvador's cities, regions, and departments, as well as latitude and longitude coordinates, geographers can unravel the complexities of this diverse and dynamic nation. Let us continue to delve deeper into El Salvador's geography, contributing to a comprehensive understanding of its past, present, and future.
Download data files for El Salvador's cities in CSV, SQL, XML and JSON formats
Exploring El Salvador’s Geography: A Geographer’s Insight into Cities, Regions, and Data
El Salvador, the smallest country in Central America, boasts a remarkable geographical variety, from its rugged mountains and volcanic terrain to its coastal plains along the Pacific Ocean. Despite its compact size, El Salvador offers a rich landscape of geographical and environmental diversity. As a geographer, understanding the spatial distribution of its cities, regions, and natural features is essential to grasp how the country’s physical geography influences urbanization, resource management, and regional development. Accessing and analyzing this geographical data can provide key insights into El Salvador’s dynamic landscape and its future growth.
Geographical Structure of El Salvador: Cities, Regions, and Departments
El Salvador is divided into 14 departments, each of which contains several cities, towns, and rural areas. The departments serve as the main administrative units of the country, and each has distinct geographical characteristics that influence its cultural and economic development. Some departments are centered around major urban areas, while others are primarily agricultural or have significant ecological importance.
The capital city, San Salvador, is located in the central part of the country, nestled between the San Vicente and Ilamatepeq volcanoes. San Salvador is the political, cultural, and economic hub of El Salvador, with the highest concentration of infrastructure and services. However, other cities such as Santa Ana, Sonsonate, and La Libertad also play critical roles in the country’s economy, each contributing to the nation’s agricultural and industrial sectors.
The geographical layout of El Salvador is shaped by its volcanic activity, mountainous terrain, and river systems. The volcanic belt running through the country influences where cities and settlements are established, with many cities located in the fertile valleys formed by volcanic eruptions. The western region, including Santa Ana, is known for its lakes and mountains, while the eastern and coastal regions are home to agricultural activities and popular tourist destinations. Understanding the distribution of cities across these departments provides valuable insights into how El Salvador’s geography shapes its urban planning and development priorities.
Latitude and Longitude: Mapping El Salvador’s Cities
Geographic coordinates, specifically latitude and longitude, are vital tools for any geographer studying El Salvador’s cities and regions. By obtaining the precise location of each city, it becomes possible to map the entire country and analyze how its urban areas relate to one another as well as to the natural landscape.
El Salvador’s cities, from the bustling capital of San Salvador to the smaller, coastal towns, each have unique latitudinal and longitudinal positions that influence their accessibility, trade routes, and economic activities. For example, the proximity of San Salvador to the central region gives it strategic importance as the center of governance and commerce, while cities located along the coast, like La Libertad, play a key role in the country’s maritime economy.
By analyzing the latitude and longitude of each city in El Salvador, geographers can better understand the spatial relationships between urban centers, their natural environments, and their infrastructure. This spatial data is especially valuable for city planners, environmentalists, and economists who need to assess how cities interact with the landscape, how they’re connected to each other, and what potential vulnerabilities they face from natural hazards like earthquakes, floods, and volcanic eruptions.
Accessing El Salvador’s Geographic Data in Multiple Formats
For those who want to conduct more detailed research or analysis of El Salvador’s geography, having access to data in a variety of formats is essential. Geographic data on cities, regions, and their latitude and longitude coordinates can be accessed in CSV, SQL, JSON, and XML formats. Each of these formats offers unique benefits depending on the nature of the analysis or project being undertaken.
CSV (Comma Separated Values) is a widely used format that allows users to easily organize, manipulate, and analyze data in spreadsheet applications. Researchers and analysts can use CSV files to quickly compare and sort cities based on population, area, and other geographic variables. SQL (Structured Query Language) is ideal for working with large datasets stored in relational databases. It allows users to query and extract data from databases, perform complex calculations, and generate reports based on specific geographic variables.
For developers, JSON (JavaScript Object Notation) and XML (Extensible Markup Language) are key formats for integrating geographic data into web applications and geographic information systems (GIS). These formats allow developers to design interactive maps, create data visualizations, and build custom tools that make geographic data more accessible and usable.
Access to El Salvador’s geographic data in multiple formats ensures that researchers, planners, developers, and government officials can use the data in the way that best suits their needs. Whether conducting a demographic study, designing infrastructure projects, or developing software applications, these formats make it easier to integrate, manipulate, and visualize El Salvador’s spatial data.
The Value of Geographic Data for Understanding El Salvador
El Salvador offers a rich and varied landscape, from its volcanic peaks to its coastal plains. Understanding the geographical distribution of cities, their regions, and the underlying environmental features is crucial for anyone looking to explore the country’s development patterns, urbanization trends, and resource management strategies. The availability of precise geographic data on cities and regions is essential for conducting meaningful research, planning for future growth, and addressing the country’s environmental and infrastructural challenges.
Latitude and longitude data, combined with detailed information on cities and regions, allows for more accurate mapping and spatial analysis. Whether studying the effects of geography on economic development, understanding the impact of natural disasters, or planning for sustainable urbanization, this geographic data provides a critical foundation for informed decision-making.
With access to geographic data in CSV, SQL, JSON, and XML formats, users are able to conduct thorough analyses, design custom tools, and visualize El Salvador’s geography in ways that enhance understanding and improve planning. The flexibility of these formats ensures that users can tailor the data to meet their specific research or operational needs, whether in the fields of urban planning, environmental science, or economic development.
El Salvador’s geographic data offers a window into how the country’s cities, regions, and natural landscapes interact and shape its future. Through comprehensive analysis of this data, geographers, planners, and policymakers can make more informed decisions that will help guide the country’s development, address environmental challenges, and support sustainable growth.