Uruguay cities list with latitude and longitude in Excel, CSV, XML, SQL, JSON formats

Uruguay
Uruguay
Excel, CSV, SQL, XML, JSON

Last update : 20 January 2026.

Country
Uruguay
Capital
Montevideo
Number of cities
1013
Download
Click here

Below is a list of 100 prominent cities in Uruguay. Each row includes a city's latitude, longitude, region and other variables of interest. This is a subset of all 1013 places in Uruguay 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 Excel (.xlsx), .csv, .json, .xml and .sql formats. Notable Cities: The capital of Uruguay is Montevideo.


Geoname_IDCityAlternate_NameCountry_CodeRegionSub_regionLatitudeLongitudeElevationPopulationTimezoneFcode_Name
3440531SarandíSarandi,Sarandi de Barcelo,Sarandí,Sarandí de BarcelóUYCerro Largo-32.48333-53.716670America/Montevideopopulated place
7729799Playa HermosaUYMaldonadoPiriapolis-34.83734-55.300460America/Montevideopopulated place
3442159La BolsaLa BolsaUYSalto DepartmentLavalleja-31.05211-57.035740America/Montevideopopulated place
3441577MontesMontesUYCanelonesMontes-34.49339-55.562191760America/Montevideopopulated place
10098508Sarandí del MataojoUYMaldonadoSan Carlos-34.67275-55.038180America/Montevideopopulated place
3441076PirarajáPiraraja,Pirarajá,Santa Maria,Santa Maria del Piraraja,Santa María,Santa María del PirarajáUYLavalleja-33.7397-54.757360America/Montevideopopulated place
3442233José Batlle y OrdóñezBatlle y Ordonez,Batlle y Ordoñez,Jose Batlle y Ordonez,José Batlle y OrdóñezUYLavallejaJose Batlle Y Ordoñez-33.46667-55.116672203America/Montevideopopulated place
3440696San CarlosSan Carlos,San Karlos,San Karlosas,San-Karlos,Villa de San Carlos,san karlws arwgwyh,sankaleulloseu,sheng ka luo si,Сан-Карлос,Սան Կարլոս,سان کارلوس، اروگوئه,سان کارلوس، یوراگوئے,სან-კარლოსი,聖卡洛斯,산카를로스UYMaldonadoSan Carlos-34.79123-54.9182427471America/Montevideopopulated place
10944874PatitasPatitasUYArtigas-30.90736-57.189580America/Montevideopopulated place
3440554Santa RosaSanta RosaUYCanelonesSanta Rosa-34.49819-56.037953727America/Montevideopopulated place
3441399PalmaUYArtigas-30.6-57.683330America/Montevideopopulated place
3441198Pepe NúñezPepe Nunez,Pepe NúñezUYSalto Department-31.4543-56.386770America/Montevideopopulated place
3441016Poblado SegarraPoblado Segarra,SegarraUYRivera Department-31.5-55.166670America/Montevideopopulated place
3441358Pan de AzúcarPan de Azucar,Pan de AzúcarUYMaldonadoPan De Azucar-34.7787-55.235826597America/Montevideopopulated place
3443444Cañada NietoCanada Nieto,Cañada NietoUYSoriano-33.69874-58.109030America/Montevideopopulated place
11171780El EnsueñoEl Ensueno,El EnsueñoUYColonia-34.42368-57.602470America/Montevideopopulated place
3441950Los FurtadosUYTacuarembó Department-32.25-55.750America/Montevideopopulated place
10861487Villa JardínVilla Jardin,Villa JardínUYCanelonesPando-34.68607-55.96560America/Montevideopopulated place
3441064Playa VerdePlaya VerdeUYMaldonadoPiriapolis-34.83243-55.305970America/Montevideopopulated place
10098438Edén RockUYMaldonadoSan Carlos-34.86502-54.755820America/Montevideopopulated place
3442716Ecilda PaullierEcilda Paullier,Santa EcildaUYSan José DepartmentEcilda Paullier-34.35778-57.048832395America/Montevideopopulated place
3441789MasollerMasollerUYArtigas-31.08122-56.004530America/Montevideopopulated place
3442085LapuenteLapuente,Poblado Lapuente,Yaguan,Yaguari,YaguaríUYRivera Department-31.47339-54.965460America/Montevideopopulated place
3441030Poblado los SilveiraLos Silveyra,Poblado los SilveiraUYTacuarembó Department-32.26667-54.916670America/Montevideopopulated place
7914242Estación AtlántidaUYCanelonesAtlantida-34.74479-55.76420America/Montevideopopulated place
3441544MusiUYSalto DepartmentMataojo-31.08333-56.516670America/Montevideopopulated place
3440413Sarandí de CuaróSarandi de Cuaro,Sarandí de CuaróUYArtigas-30.87418-56.659780America/Montevideopopulated place
3442705El ChacoEl ChacoUYPaysandú Department-31.95896-57.51330America/Montevideopopulated place
3441384Palma SolaUYArtigasBaltasar Brum-30.68333-57.516670America/Montevideopopulated place
10866692Rincón de FreitasRincon de Freitas,Rincón de FreitasUYTacuarembó Department-31.61195-56.172790America/Montevideopopulated place
3440925QuebrachoQuebrachoUYPaysandú DepartmentQuebracho-31.93526-57.90142853America/Montevideopopulated place
3443834AraújoUYPaysandú DepartmentLorenzo Geyres-32.1-57.816670America/Montevideopopulated place
3441853MangaMangaUYMontevideo DepartmentMunicipio F-34.81667-56.10America/Montevideopopulated place
11171821San JuanSan JuanUYColonia-34.20403-57.799390America/Montevideopopulated place
3441483Nueva HelveciaColonia Suiza,Nuehva-Ehl’vesija,Nueva Elvesia,Nueva Helvecia,nwywa hlwka,xin ai er wei xi ya,Нуэва-Эльвесия,Նուեվա Էլվեսիա,نوئوا هلوکا,نویوا ہیلویسیا,新埃爾韋西亞UYColoniaNueva Helvecia-34.3-57.2333310054America/Montevideopopulated place
3441040Poblado LauraLaura,Poblado LauraUYTacuarembó Department-32.15-54.883330America/Montevideopopulated place
3443031ColónCoion,Colon,ColónUYLavalleja-33.87642-54.720340America/Montevideopopulated place
3441476Nuevo BerlínNuevo Berlin,Nuevo BerlínUYRío Negro DepartmentNuevo Berlin-32.97974-58.058582450America/Montevideopopulated place
3443631Bella UniónBUV,Bel’ja Union,Bel’ja-Un’on,Belja Unionas,Bella Union,Bella Unión,Belya Ownon,Santa Rosa,Santa Rosa del Cuareim,bei ya wu ni weng,bla ywnywn,bya awnyn,Белья Уніон,Белья-Уньон,Բելյա Ունոն,بلا یونیون,بیا اونین,貝亞烏尼翁UYArtigasBella Union-30.25966-57.5991912200America/Montevideopopulated place
11171781Boca del Rosario OesteBoca del Rosario OesteUYColonia-34.43411-57.33490America/Montevideopopulated place
3442670EsperanzaColonia Esperanza,Esperanza,Estacion Esperanza,Estación EsperanzaUYPaysandú DepartmentPorvenir-32.34984-57.94830America/Montevideopopulated place
3440939Punta del EstePDP,Pounta ntel Este,Punta del Este,Punta del Estė,Punta del’ Ehste,Punta-del’-Ehste,Punta-del’-Este,Punte del Este,ai si te jiao cheng,pun ta del xe s te,puntadel-eseute,pwnta dl asth,Πούντα ντελ Έστε,Пунта дел Есте,Пунта дель Эсте,Пунта-дель-Есте,Пунта-дель-Эсте,פונטה דל אסטה,پونتا دل استه,پونتا دیل ایستے,ปุนตาเดลเอสเต,プンタ・デル・エステ,埃斯特角城,푼타델에스테UYMaldonadoPunta Del Este-34.94747-54.933829277America/Montevideopopulated place
3441903Mal AbrigoMal Abriga,Mal AbrigoUYSan José Department-34.14697-56.952650America/Montevideopopulated place
3443189Cerro ChatoCerro ChatoUYTreinta y Tres Department-33.1-55.133330America/Montevideopopulated place
3442229José IgnacioUYMaldonadoGarzón-34.84428-54.637330America/Montevideopopulated place
10943563Valdéz ChicoValdez Chico,Valdéz ChicoUYSan José Department-34.53084-56.618650America/Montevideopopulated place
3442865Costa de San JoséCosta de San Jose,Costa de San José,Costas de San Jose,Costas de San JoséUYFlores Department-33.85-56.883330America/Montevideopopulated place
10642764CampaneroCampaneroUYLavalleja-34.33066-55.249950America/Montevideopopulated place
3440762RodríguezConcordia,Rodriguez,RodríguezUYSan José DepartmentRodriguez-34.381-56.537972604America/Montevideopopulated place
11171835Barker NorteBarker NorteUYColonia-34.22026-57.477590America/Montevideopopulated place
10943729La LomaLa LomaUYSoriano-33.42238-58.3030America/Montevideopopulated place
3441003Polanco del YiPaso Polanco del Yi,Polanco del YiUYFlorida-33.48687-56.156350America/Montevideopopulated place
3442803CurtinaCurtina,San Maximo,San MáximoUYTacuarembó Department-32.15-56.116671037America/Montevideopopulated place
10861473Colinas de SolymarColinas de SolymarUYCanelonesCiudad De La Costa-34.80334-55.959490America/Montevideopopulated place
3443788ArévaloArevalo,Arévalo,Pueblito ArevaloUYCerro LargoArevalo-32.63916-55.078070America/Montevideopopulated place
10098311La CasillaUYFlores Department-33.67025-56.94720America/Montevideopopulated place
3442039La UniónUYRío Negro Department-32.75-57.750America/Montevideopopulated place
3441291Paso CementerioPaso CementerioUYSalto Department-31.40267-56.741970America/Montevideopopulated place
3443941AcostaAcostaUYTreinta y Tres Department-33.24489-53.843770America/Montevideopopulated place
10645471Rincón de MariscalaRincon de Mariscala,Rincón de MariscalaUYLavalleja-33.93474-54.585570America/Montevideopopulated place
3441370PalomasPalomasUYSalto DepartmentVilla Constitucion-31.08087-57.609340America/Montevideopopulated place
10861469NeptuniaNeptuniaUYCanelonesSalinas-34.78837-55.879990America/Montevideopopulated place
3442157La CalaveraUYTreinta y Tres Department-32.93333-54.266670America/Montevideopopulated place
10862537Estancia BichaderoEstancia BichaderoUYRío Negro Department-32.96927-57.712940America/Montevideopopulated place
3440580Santa CatalinaSanta CatalinaUYSoriano-33.791-57.488241067America/Montevideopopulated place
3443133ChamizoChamizoUYFlorida-34.24132-55.916730America/Montevideopopulated place
10642889Estación OrtízEstacion Ortiz,Estación OrtízUYLavalleja-34.33978-55.393320America/Montevideopopulated place
10098534La SierraUYCanelones-34.74734-55.400150America/Montevideopopulated place
7645440Costa AzulUYRocha DepartmentLa Paloma-34.62925-54.153071090America/Montevideopopulated place
3440757RolónPuntas de Rolon,Puntas de Rolón,Rolon,RolónUYRío Negro Department-32.63731-56.890820America/Montevideopopulated place
3439592Villa NuevaUYCanelonesSauce-34.6-56.133330America/Montevideopopulated place
3443404CañitasCanas,Canitas,Cañas,CañitasUYCerro Largo-32.35-53.833330America/Montevideopopulated place
3441456OliveraOliveraUYSalto DepartmentLavalleja-31.11902-56.878050America/Montevideopopulated place
10862625FelicianoFelicianoUYDurazno Department-33.18601-56.808280America/Montevideopopulated place
10641288Bañado de los OliveraBanado de los Olivera,Bañado de los OliveraUYTreinta y Tres Department-33.20238-54.440180America/Montevideopopulated place
3442208Juan José CastroJuan J. Castro,Juan Jose Castro,Juan José CastroUYFlores Department-33.49397-56.744110America/Montevideopopulated place
10861465Bello HorizonteBello HorizonteUYCanelonesLa Floresta-34.77098-55.640650America/Montevideopopulated place
3441247PavónPavon,PavónUYSan José DepartmentEcilda Paullier-34.31169-56.904390America/Montevideopopulated place
3443052ClaraUYTacuarembó Department-32.22414-55.732240America/Montevideopopulated place
3443769Arroyo BlancoUYRivera Department-31.6333-54.790950America/Montevideopopulated place
3440584Santa AnaBalneario Santa Ana,Santa AnaUYCanelonesLa Floresta-34.78697-55.467850America/Montevideopopulated place
3441044Poblado LambariLambare,Lambaré,Poblado LambariUYTacuarembó Department-31.51667-55.966670America/Montevideopopulated place
3440924QuebrachoUYCerro LargoTupambae-32.68333-54.633330America/Montevideopopulated place
3440947Puerto PlateroPlatero,Puerto PlateroUYColonia-34.43661-57.640260America/Montevideopopulated place
10641287Verde AltoVerde AltoUYTreinta y Tres Department-33.15839-54.439310America/Montevideopopulated place
3441308ParalléParalle,ParalléUYRocha Department-34.22154-54.316120America/Montevideopopulated place
3439829Tomás PazTomas Paz,Tomás PazUYPaysandú DepartmentChapicuy-31.63282-57.696280America/Montevideopopulated place
10098545Solís GrandeUYCanelones-34.71304-55.438990America/Montevideopopulated place
8555965Punta BallenaUYMaldonadoMaldonado-34.88832-55.03910America/Montevideopopulated place
11171799Barrancas ColoradasBarrancas ColoradasUYColonia-34.24175-57.220920America/Montevideopopulated place
3442786Villa DarwinDarwin,Villa DarwinUYSoriano-33.11266-57.633330America/Montevideopopulated place
3440045SotoSotoUYPaysandú Department-31.97528-57.554860America/Montevideopopulated place
8538180Colonia PalmaColonia PalmaUYArtigas-30.58416-57.677960America/Montevideopopulated place
3439513Zanja HondaZanja HondaUYSoriano-33.79438-57.551130America/Montevideopopulated place
3440114SauzalUYRivera Department-30.93333-55.550America/Montevideopopulated place
3443253CeibalUYDurazno Department-32.88333-55.516670America/Montevideopopulated place
3443077ChilcasUYFlorida-33.55-55.666670America/Montevideopopulated place
10636660Poblado Pedro AramendíaPoblado Pedro Aramendia,Poblado Pedro AramendíaUYLavalleja-33.63783-54.619540America/Montevideopopulated place
3440934Puntas de CorralesUYRivera Department-31.31667-55.20America/Montevideopopulated place
3441269Paso del TapadoUYRivera Department-31.25-55.333330America/Montevideopopulated place

**Exploring Uruguay: A Geographer's Perspective**

Introduction**

Nestled between Brazil and Argentina, Uruguay is a captivating country known for its diverse landscapes, rich cultural heritage, and progressive policies. As a geographer, delving into the geographical intricacies of Uruguay unveils a tapestry of cities, regions, and natural features waiting to be explored. In this article, we embark on a journey to obtain data on the cities of Uruguay, including their regions and departments, as well as the latitude and longitude coordinates of each city.

Unveiling Uruguay's Urban Landscape**

Uruguay's cities are vibrant centers of activity, blending historic charm with modern amenities against a backdrop of scenic beauty. From the bustling streets of Montevideo, the capital city, to the picturesque colonial town of Colonia del Sacramento, each urban center offers a unique glimpse into Uruguay's cultural heritage and urban development. By obtaining data on the cities of Uruguay, we gain insights into patterns of urbanization, population distribution, and economic activity across the country.

Mapping Latitude and Longitude**

The latitude and longitude coordinates of Uruguay's cities provide essential spatial information for geographic analysis and mapping. From the rolling hills of the interior to the pristine beaches along the Atlantic coast, these coordinates delineate the geographic extent of each city and its relationship to surrounding landscapes and natural features. By mapping latitude and longitude data, geographers can visualize spatial patterns, analyze geographic trends, and identify areas of environmental significance for conservation and sustainable development.

Exploring Regional Diversity**

Uruguay's geographical diversity is reflected in its varied regions, each characterized by unique topography, climate, and ecological systems. From the fertile plains of the Pampas in the south to the rugged hills of the Cuchilla Grande in the north, the country's landscapes offer a wealth of ecological and cultural treasures waiting to be discovered. By obtaining data on the regions and departments of Uruguay, geographers can delve into the spatial distribution of these environmental characteristics and understand their implications for human settlement, agriculture, and biodiversity conservation.

Challenges and Opportunities**

Despite its natural beauty and progressive policies, Uruguay faces a range of geographic challenges, from soil degradation and water scarcity to urbanization and climate change. By obtaining data on the cities, regions, and departments of Uruguay, geographers can contribute to evidence-based decision-making and policy formulation, addressing issues such as land use planning, natural resource management, and disaster risk reduction. By understanding the geographic context of these challenges, policymakers can develop more effective strategies for promoting sustainable development, enhancing resilience, and improving the well-being of Uruguay's diverse communities.

Conclusion**

In conclusion, the geography of Uruguay offers a fascinating tapestry of urban and natural landscapes waiting to be explored and understood. By obtaining data on the cities, regions, and departments of Uruguay, geographers can unravel the spatial dynamics and complexities that shape the country's landscapes and livelihoods. As stewards of Uruguay's geographical heritage, it is our responsibility to use this knowledge to inform decision-making, promote sustainable development, and preserve the natural and cultural heritage of this remarkable nation for future generations to cherish and enjoy.

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Exploring Uruguay: A Geographer's Insight into City-Level Data

Uruguay, a small yet geographically diverse country located in South America, is often overlooked in global discussions, but it holds significant value for those interested in geographic research. With its sprawling plains, fertile agricultural lands, and dynamic cities, Uruguay presents a unique landscape for geographical studies. To truly understand the spatial organization of this nation, accessing detailed geographic data at the city level—including regional breakdowns, departments, and precise geographic coordinates—is essential. This article explores Uruguay’s geography from a data-driven perspective and highlights how you can access critical geographic information for cities across the country in formats like CSV, SQL, JSON, and XML.

Uruguay's Geographic Layout and Significance

Uruguay is situated in the southeastern corner of South America, bordered by Argentina to the west, Brazil to the north and east, and the South Atlantic Ocean to the south. Despite its relatively small size, Uruguay’s geography is diverse. From the lowlands of the Río de la Plata to the hilly terrains in the interior, the country offers a variety of ecosystems and landscapes. The capital city, Montevideo, is located on the coast, providing the country with a crucial port and connecting it to global trade routes.

Beyond the capital, Uruguay is divided into 19 departments, each with its own local government and distinct geographic features. These departments are further broken down into smaller municipalities and cities, each contributing to the country's social, economic, and cultural fabric. Understanding the geographic characteristics of these cities and regions is vital for anyone interested in urban planning, environmental conservation, or economic development in Uruguay.

The Importance of City-Level Geographic Data

City-level geographic data is essential for researchers, urban planners, and anyone working with spatial data in Uruguay. Each city in the country, from Montevideo to the smaller, lesser-known towns, plays a role in the nation's overall geography. By analyzing the coordinates and regional divisions of these cities, geographers can gain insights into population distribution, transportation networks, environmental challenges, and economic opportunities.

Understanding where cities are located—along with their administrative divisions such as regions and departments—allows for more effective planning, resource allocation, and policy-making. This is particularly important in a country like Uruguay, where the population is concentrated in a few urban areas, while vast expanses of rural land remain sparsely populated.

Accessing Detailed Geographic Data of Cities in Uruguay

For anyone working on geographic research or development projects in Uruguay, access to detailed data about the cities, their regions, and departments is crucial. Having up-to-date, accurate information about the location of cities, including their latitude and longitude coordinates, enables a range of analyses—from mapping to modeling urban growth patterns or climate change effects.

Geographic data of cities in Uruguay, when available in a structured format, can help improve the precision of analyses. This data typically includes not only the coordinates of each city but also information about its surrounding departments and regions, offering valuable context for understanding Uruguay’s spatial organization.

The data you need can be accessed in various formats, such as CSV, SQL, JSON, and XML, allowing you to integrate it into your own geographic systems or use it for more advanced spatial analysis.

Formats for Geographic Data: CSV, SQL, JSON, and XML

Each of these four formats—CSV, SQL, JSON, and XML—offers distinct advantages, depending on the needs of your project.

- **CSV (Comma Separated Values):** This format is ideal for users who need to import and manipulate data in spreadsheets. It’s a simple, easy-to-read format that allows for quick analysis and visualization of geographic data, such as city coordinates, regions, and departments.

- **SQL (Structured Query Language):** For larger datasets that need to be stored and queried efficiently, SQL provides an excellent solution. SQL allows users to interact with geographic data stored in relational databases, making it ideal for more complex spatial queries or large-scale data management.

- **JSON (JavaScript Object Notation):** JSON is widely used for web applications and APIs. It is a lightweight, flexible format that is easy to integrate into digital applications or websites, making it ideal for developers looking to incorporate geographic data into interactive maps or location-based services.

- **XML (eXtensible Markup Language):** XML is a hierarchical, text-based format often used for data exchange between systems. It is particularly useful when dealing with structured geographic data, such as the complex relationships between cities, regions, and departments in Uruguay.

Having access to these formats ensures that users can work with the geographic data in the way that best suits their needs, whether for research, urban planning, or software development.

Why Geographic Data is Key to Understanding Uruguay

Uruguay’s geographic data is crucial for understanding not just the physical layout of the country but also its socio-economic dynamics. For example, by analyzing the distribution of cities and their corresponding regions, we can identify trends such as urbanization, population density, and economic development. This understanding can help with the creation of policies aimed at balancing the growth of urban centers with the preservation of rural areas.

Moreover, knowing the exact location of cities and their surrounding regions is valuable for sectors like tourism, agriculture, and transportation. For instance, understanding the geographical relationship between Montevideo and the surrounding regions can provide insights into transportation networks and infrastructure needs, while data on rural towns can inform agricultural policy and development.

Enhancing Projects with Geographic Data from Uruguay

Whether you are conducting academic research, working on urban planning projects, or building a geographic information system (GIS) for a client, the ability to access comprehensive city-level geographic data in Uruguay can enhance your work significantly. By incorporating data on the cities, their regions, and their exact coordinates, you can create more accurate models, conduct detailed spatial analyses, and make better decisions.

The flexibility of formats like CSV, SQL, JSON, and XML ensures that this data can be easily integrated into any project, whether you’re building a website, developing a mobile app, or analyzing spatial patterns for research. With accurate geographic data, your work on Uruguay can be grounded in a strong understanding of the country’s unique spatial characteristics.

Conclusion

Uruguay’s geographic diversity, from its coastal cities to its rural expanses, provides an interesting and valuable landscape for geographic study. Accessing detailed data about the cities, regions, and departments of Uruguay—along with latitude and longitude coordinates—is essential for anyone interested in working with the country’s geography. Whether you are analyzing urban growth, planning infrastructure, or developing new applications, having access to this data in multiple formats such as CSV, SQL, JSON, and XML ensures that you can use it in the most efficient and effective way possible.

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