Argentina 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 Argentina, 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 6866 geographic locations across Argentina.
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 Argentina is Buenos Aires.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 3849280 | La Primavera | AR | La Pampa | Departamento de Limay Mahuida | -36.90962 | -67.05854 | 0 | America/Argentina/Salta | populated place | ||
| 3432308 | Lucila del Mar | AR | Buenos Aires | -36.66667 | -56.66667 | 0 | America/Argentina/Buenos_Aires | populated place | |||
| 3847349 | Laurel Yaco | AR | Tucuman | Departamento de Trancas | -26.3 | -65.41667 | 0 | America/Argentina/Tucuman | populated place | ||
| 3863080 | Campo Los Andes | Campo Los Andes,Los Andes | AR | Mendoza | Departamento de Tunuyán | -33.70172 | -69.17818 | 0 | America/Argentina/Mendoza | populated place | |
| 3852339 | La Cañada | Canada,Cañada,La Canada,La Cañada | AR | Cordoba | Departamento de RÃo Seco | -30.09303 | -63.36509 | 0 | America/Argentina/Cordoba | populated place | |
| 3853608 | ItÃn | Itin,ItÃn | AR | Chaco | Departamento de Dos de Abril | -27.48547 | -61.32304 | 0 | America/Argentina/Cordoba | populated place | |
| 3843914 | Monroe | AR | Buenos Aires | Partido de Salto | -34.45774 | -60.28839 | 0 | America/Argentina/Buenos_Aires | populated place | ||
| 3836702 | San Pedro de Colalao | San Pedro de Colalao | AR | Tucuman | Departamento de Trancas | -26.23814 | -65.49575 | 0 | America/Argentina/Tucuman | populated place | |
| 3431369 | LÃbaros | AR | Entre Rios | Departamento de Uruguay | -32.26119 | -58.90734 | 0 | America/Argentina/Cordoba | populated place | ||
| 3838867 | RÃo del NÃo | Nio,NÃo,Rio del Nio,RÃo del NÃo | AR | Tucuman | Departamento de Burruyacú | -26.45084 | -65.00204 | 0 | America/Argentina/Tucuman | populated place | |
| 3834383 | Timbó Nuevo | AR | Tucuman | Departamento de Burruyacú | -26.7 | -65.11667 | 0 | America/Argentina/Tucuman | populated place | ||
| 3850883 | Lagunilla | AR | Cordoba | Departamento de RÃo Segundo | -31.72498 | -63.9498 | 0 | America/Argentina/Cordoba | populated place | ||
| 3861661 | Chaschuil | AR | Catamarca | Departamento de Tinogasta | -27.77656 | -68.07787 | 0 | America/Argentina/Catamarca | populated place | ||
| 3858899 | El Arbolito | Arbolito,El Arbolito | AR | Buenos Aires | Partido de Colón | -33.91513 | -60.94077 | 0 | America/Argentina/Buenos_Aires | populated place | |
| 12543488 | El Totoral | El Totoral | AR | San Luis | -32.99415 | -66.06389 | 0 | America/Argentina/San_Luis | populated place | ||
| 3865288 | Atahona | AR | Cordoba | Departamento de RÃo Primero | -30.90284 | -63.70598 | 0 | America/Argentina/Cordoba | populated place | ||
| 3855365 | Fredriksson | AR | Santa Fe | Departamento de Constitución | -33.44684 | -61.4771 | 0 | America/Argentina/Cordoba | populated place | ||
| 3433465 | Ingeniero Chanourdie | AR | Santa Fe | General Obligado Department | -28.77423 | -59.53379 | 0 | America/Argentina/Cordoba | populated place | ||
| 3860455 | Comedero | AR | Catamarca | Departamento de Ancasti | -28.91749 | -65.58497 | 0 | America/Argentina/Catamarca | populated place | ||
| 3853748 | Inriville | AR | Cordoba | Departamento de Marcos Juárez | -32.94424 | -62.23028 | 3778 | America/Argentina/Cordoba | populated place | ||
| 3435581 | Caza Pava | Caza Pava,Cazapan,Cazapán | AR | Corrientes | Departamento de Santo Tomé | -28.28333 | -56.11667 | 0 | America/Argentina/Cordoba | populated place | |
| 3839569 | Quilumpa | AR | Santiago del Estero | Departamento de Moreno | -26.9484 | -62.90431 | 0 | America/Argentina/Cordoba | populated place | ||
| 3865001 | Bajo Grande | AR | Cordoba | Departamento de Santa MarÃa | -31.62313 | -64.20655 | 0 | America/Argentina/Cordoba | populated place | ||
| 3847763 | Las Tejas de Abajo | Las Tejas,Las Tejas de Abajo,Tejas | AR | Catamarca | Departamento de Valle Viejo | -28.71667 | -65.76667 | 0 | America/Argentina/Catamarca | populated place | |
| 3866715 | Agua de las Palomas | AR | Catamarca | Departamento de Andalgalá | -27.61944 | -66.12445 | 0 | America/Argentina/Catamarca | populated place | ||
| 3849917 | La Merced | La Merced | AR | Salta | Departamento de San Carlos | -25.74638 | -65.97674 | 0 | America/Argentina/Salta | populated place | |
| 3845853 | Los Nogales | AR | Salta | Departamento de Anta | -25.09668 | -64.70225 | 0 | America/Argentina/Salta | populated place | ||
| 3434158 | Empalme Lobos | AR | Buenos Aires | Partido de Lobos | -35.15 | -59.08333 | 0 | America/Argentina/Buenos_Aires | populated place | ||
| 3832732 | Villa General Mitre | General Mitre,Villa General Mitre | AR | Cordoba | Departamento de Totoral | -30.70458 | -64.06927 | 0 | America/Argentina/Cordoba | populated place | |
| 3845052 | Manantial | Manantial,Manantiales | AR | Tucuman | Departamento de Lules | -26.84748 | -65.28296 | 0 | America/Argentina/Tucuman | populated place | |
| 3854987 | Gobernador Crespo | Gobernador Crespo | AR | Santa Fe | Departamento de San Justo | -30.3627 | -60.40162 | 0 | America/Argentina/Cordoba | populated place | |
| 3854069 | Huasa Pampa Sur | Huasa Pampa Sud,Huasa Pampa Sur,Huasapampa | AR | Tucuman | Departamento de La Cocha | -27.88038 | -65.58256 | 0 | America/Argentina/Tucuman | populated place | |
| 3859771 | Cuatro Esquinas | AR | La Rioja | Departamento de General San MartÃn | -31.80149 | -65.8864 | 0 | America/Argentina/La_Rioja | populated place | ||
| 3856925 | El Recado | AR | Buenos Aires | Partido de Pehuajó | -35.79076 | -62.22038 | 0 | America/Argentina/Buenos_Aires | populated place | ||
| 3843630 | Morse | AR | Buenos Aires | Partido de JunÃn | -34.76026 | -60.8428 | 0 | America/Argentina/Buenos_Aires | populated place | ||
| 3855152 | Gaviotas | AR | La Pampa | Departamento de Caleu-Caleu | -38.94366 | -63.63831 | 0 | America/Argentina/Salta | populated place | ||
| 3435369 | Claypole | Claypole | AR | Buenos Aires | Partido de Almirante Brown | -34.79675 | -58.33434 | 0 | America/Argentina/Buenos_Aires | populated place | |
| 3835341 | Sesteadero | AR | Santiago del Estero | Departamento de Pellegrini | -26.66667 | -64.2 | 0 | America/Argentina/Cordoba | populated place | ||
| 3852042 | La Chispa | AR | Santa Fe | General López Department | -33.54415 | -61.97382 | 0 | America/Argentina/Cordoba | populated place | ||
| 3855469 | Fontezuela | AR | Buenos Aires | Partido de Pergamino | -33.91196 | -60.45911 | 0 | America/Argentina/Buenos_Aires | populated place | ||
| 3839044 | Rincón | AR | Santa Cruz | Departamento de Corpen Aike | -50.3 | -69.91667 | 0 | America/Argentina/Rio_Gallegos | populated place | ||
| 3859607 | Cura Malal | Cura Malal,Curramalan,Curramalán,Curumalan,Curumalán | AR | Buenos Aires | Partido de Coronel Suárez | -37.47824 | -62.10475 | 0 | America/Argentina/Buenos_Aires | populated place | |
| 3861470 | Chilca | AR | Catamarca | Departamento de Andalgalá | -27.63333 | -66.2 | 0 | America/Argentina/Catamarca | populated place | ||
| 3856660 | El Sauce | El Sauce,Sauce | AR | Santiago del Estero | Departamento de Juan F. Ibarra | -27.90716 | -63.43534 | 0 | America/Argentina/Cordoba | populated place | |
| 3840132 | Puerta Grande | AR | Santiago del Estero | Departamento de Guasayán | -28.11667 | -65.08333 | 0 | America/Argentina/Cordoba | populated place | ||
| 3854470 | Guayatayoc | Guayatayoc,Huayatayoc | AR | Jujuy | Departamento de Cochinoca | -23.2 | -65.86667 | 0 | America/Argentina/Jujuy | populated place | |
| 3429160 | San Clemente del Tuyú | Balneario San Clemente,Balneario San Clemente del Tuyu,Balneario San Clemente del Tuyú,San Clemente del Tuyu,San Clemente del Tuyú,San-Klemente-del’-Tuju,Сан-Клементе-дель-Тую | AR | Buenos Aires | Partido de La Costa | -36.35694 | -56.72351 | 11174 | America/Argentina/Buenos_Aires | populated place | |
| 3838060 | San Antonio | AR | Santiago del Estero | Departamento de Alberdi | -26.56667 | -63.28333 | 0 | America/Argentina/Cordoba | populated place | ||
| 3861238 | Chuchucaruana | Chuchucaruana | AR | Catamarca | Departamento de PaclÃn | -27.93333 | -65.66667 | 0 | America/Argentina/Tucuman | populated place | |
| 3840901 | Plaza Bruno | AR | Cordoba | Departamento de San Justo | -31.53834 | -63.18454 | 0 | America/Argentina/Cordoba | populated place | ||
| 3846797 | Llama Niyeo | AR | Rio Negro | Departamento de Veinticinco de Mayo | -41.87733 | -68.61154 | 0 | America/Argentina/Salta | populated place | ||
| 3832645 | Villa Rescate | Rescate,Villa Rescate | AR | Tucuman | Departamento de Cruz Alta | -26.89125 | -65.01373 | 0 | America/Argentina/Tucuman | populated place | |
| 3862853 | Cancha Huinganco | AR | Neuquen | Departamento de Chos-Malal | -37.02914 | -70.42167 | 0 | America/Argentina/Salta | populated place | ||
| 3846223 | Los Corrales | Corrales,Los Corrales | AR | Catamarca | Departamento de El Alto | -28.49331 | -65.32634 | 0 | America/Argentina/Catamarca | populated place | |
| 3430603 | Monteagudo | Monteagudo,Moteagudo | AR | Misiones | Departamento de Guaranà | -27.29885 | -54.13082 | 0 | America/Argentina/Cordoba | populated place | |
| 3840003 | Punco | AR | Santiago del Estero | Departamento de Juan F. Ibarra | -27.81153 | -63.15126 | 0 | America/Argentina/Cordoba | populated place | ||
| 3433545 | Hipólito Yrigoyen | Hipolito Yrigoyen,Hipólito Yrigoyen | AR | Misiones | Departamento de San Ignacio | -27.08522 | -55.28703 | 0 | America/Argentina/Cordoba | populated place | |
| 3857536 | San José del Morro | El Morro,San Jose del Morro,San José del Morro | AR | San Luis | Departamento de General Pedernera | -33.21269 | -65.49065 | 0 | America/Argentina/San_Luis | populated place | |
| 3854280 | Holdich | AR | Chubut | Departamento de Escalante | -45.95 | -68.21667 | 0 | America/Argentina/Catamarca | populated place | ||
| 3837677 | San Francisco | AR | Santiago del Estero | Departamento de Quebrachos | -29.42324 | -63.17408 | 0 | America/Argentina/Cordoba | populated place | ||
| 3833386 | Urizar | AR | Tucuman | Departamento de Burruyacú | -26.68333 | -64.61667 | 0 | America/Argentina/Tucuman | populated place | ||
| 3833704 | Tres Puentes | AR | Catamarca | Departamento de Capital | -28.45 | -65.73333 | 0 | America/Argentina/Catamarca | populated place | ||
| 3433530 | Horquilla | Horquilla,Murquilla | AR | Chaco | Departamento de Tapenagá | -27.54182 | -59.95505 | 0 | America/Argentina/Cordoba | populated place | |
| 3845169 | Malbrán | Malbran,Malbrán | AR | Santiago del Estero | Departamento de Aguirre | -29.35039 | -62.43896 | 0 | America/Argentina/Cordoba | populated place | |
| 3865962 | Amaná | Amana,Amaná | AR | La Rioja | Departamento de Independencia | -30.05584 | -67.5029 | 0 | America/Argentina/La_Rioja | populated place | |
| 3841940 | Paredones | AR | Santiago del Estero | Departamento de Quebrachos | -29.46667 | -63.28333 | 0 | America/Argentina/Cordoba | populated place | ||
| 3834754 | Tala Pozo | AR | Santiago del Estero | Departamento de Choya | -28.35 | -64.73333 | 0 | America/Argentina/Cordoba | populated place | ||
| 3835245 | Simbol Cañada | AR | Santiago del Estero | Departamento de Banda | -27.43333 | -64.16667 | 0 | America/Argentina/Cordoba | populated place | ||
| 3429819 | Pueblo Moscas | Las Moscas,Pueblo Moscas | AR | Entre Rios | Departamento de Uruguay | -32.09169 | -58.95507 | 0 | America/Argentina/Cordoba | populated place | |
| 3862958 | Cañada Honda | Canada Honda,Cañada Honda | AR | San Luis | Coronel Pringles | -32.83036 | -66.03309 | 0 | America/Argentina/San_Luis | populated place | |
| 3846391 | Los Cajones | Los Cajones | AR | San Luis | Departamento de JunÃn | -32.02403 | -65.37226 | 0 | America/Argentina/San_Luis | populated place | |
| 12540098 | Puerta Verde | Puerta Verde | AR | Jujuy | -24.27178 | -64.8325 | 0 | America/Argentina/Jujuy | populated place | ||
| 3865002 | Bajo Grande | Bajo Grande | AR | La Rioja | Departamento de General Belgrano | -30.56667 | -66.15 | 0 | America/Argentina/La_Rioja | populated place | |
| 3862347 | Casimiro Gómez | Casimiro Gomez,Casimiro Gómez | AR | San Luis | Departamento de Gobernador Vicente Dupuy | -35.08765 | -65.1182 | 0 | America/Argentina/San_Luis | populated place | |
| 3430589 | Monte Grande | Monte Grande | AR | Buenos Aires | Partido de Esteban EcheverrÃa | -34.8194 | -58.46592 | 0 | America/Argentina/Buenos_Aires | populated place | |
| 3855069 | General Racedo | General Racedo,Racedo | AR | Entre Rios | Departamento de Diamante | -31.98283 | -60.40861 | 0 | America/Argentina/Cordoba | populated place | |
| 3848594 | Las Chacras | AR | Cordoba | Departamento de Tulumba | -30.28506 | -64.37896 | 0 | America/Argentina/Cordoba | populated place | ||
| 3865249 | Atreucó | Atrauco,Atraucó,Atreuco,Atreucó | AR | La Pampa | Departamento de Atreucó | -37.1292 | -63.81466 | 0 | America/Argentina/Salta | populated place | |
| 3860708 | Colonia Silva | Colonia Silva,Silva | AR | Santa Fe | Departamento de San Justo | -30.4479 | -60.42922 | 0 | America/Argentina/Cordoba | populated place | |
| 3436315 | Apipé | AR | Corrientes | Departamento de Ituzaingó | -27.51667 | -56.73333 | 0 | America/Argentina/Cordoba | populated place | ||
| 3857189 | El Portezuelo | El Portezuelo,Portezuelo | AR | La Rioja | Departamento de General Juan F. Quiroga | -30.83648 | -66.69998 | 0 | America/Argentina/La_Rioja | populated place | |
| 3866881 | Agua Blanca | Agua Blanca | AR | La Rioja | Departamento de Castro Barros | -28.96123 | -66.99501 | 0 | America/Argentina/La_Rioja | populated place | |
| 3836922 | San Miguel | El Sapallo,El Zapallo,San Miguel | AR | Salta | Departamento de Rivadavia | -22.58489 | -62.82782 | 0 | America/Argentina/Salta | populated place | |
| 12540169 | Chucalezna | Chucalezna | AR | Jujuy | -23.34911 | -65.3481 | 0 | America/Argentina/Jujuy | populated place | ||
| 3861686 | Characate | AR | Cordoba | Departamento de Cruz del Eje | -31.11274 | -64.7525 | 0 | America/Argentina/Cordoba | populated place | ||
| 3840202 | Pueblo Viejo | AR | Jujuy | Departamento de Yavà | -22.48333 | -65.41667 | 0 | America/Argentina/Jujuy | populated place | ||
| 12035936 | Villa del Prado | AR | Cordoba | Departamento de Santa MarÃa | -31.62087 | -64.39808 | 0 | America/Argentina/Cordoba | populated place | ||
| 3861603 | Chaupi Pozo | AR | Santiago del Estero | Departamento de Banda | -27.50748 | -64.42111 | 0 | America/Argentina/Cordoba | populated place | ||
| 3858408 | El Chinque | AR | Neuquen | Departamento de Minas | -37.18333 | -70.66667 | 0 | America/Argentina/Salta | populated place | ||
| 3845570 | Los Tajamares | AR | Santiago del Estero | Departamento de Ojo de Agua | -29.09932 | -64.02581 | 0 | America/Argentina/Cordoba | populated place | ||
| 3858335 | El Colorado | El Colorado | AR | Santiago del Estero | Departamento de Juan F. Ibarra | -27.91504 | -62.17814 | 0 | America/Argentina/Cordoba | populated place | |
| 3852278 | La Carlota | AR | Chubut | Departamento de Languiñeo | -43.52659 | -70.73782 | 0 | America/Argentina/Catamarca | populated place | ||
| 3864366 | Bella Vista | AR | Santa Fe | Departamento de San Lorenzo | -32.6942 | -60.72677 | 0 | America/Argentina/Cordoba | populated place | ||
| 12543501 | La Sirena | La Sirena | AR | San Luis | -31.94434 | -65.82257 | 0 | America/Argentina/San_Luis | populated place | ||
| 3428476 | San Sebastián | San Sebastian,San Sebastián | AR | Buenos Aires | Partido de Chivilcoy | -34.94232 | -59.70169 | 0 | America/Argentina/Buenos_Aires | populated place | |
| 3860138 | Corral Blanco | Corral Blanco | AR | Jujuy | Departamento de Yavà | -22.47839 | -65.36993 | 0 | America/Argentina/Jujuy | populated place | |
| 3865964 | Amamá | AR | Santiago del Estero | Departamento de Moreno | -27.20889 | -63.03891 | 0 | America/Argentina/Cordoba | populated place | ||
| 12543508 | El Balde | El Balde | AR | San Luis | -33.1206 | -65.9666 | 0 | America/Argentina/San_Luis | populated place | ||
| 3859034 | Egusquiza | AR | Santa Fe | Departamento de Castellanos | -31.09565 | -61.62759 | 0 | America/Argentina/Cordoba | populated place | ||
| 3834888 | Suyuque Viejo | Suyuque,Suyuque Viejo | AR | San Luis | Juan MartÃn de Pueyrredón | -33.16041 | -66.2767 | 0 | America/Argentina/San_Luis | populated place |
Argentina: Mapping a Nation of Vast Contrasts with Geographic Precision
A Landscape That Defies Generalization
Argentina stretches like a vertical tapestry down the southern edge of South America—immense, irregular, and irresistible for any geographer. It offers everything: glacial plateaus, high-altitude deserts, subtropical jungles, and a sprawling pampas that rolls endlessly toward the Atlantic. But the country’s geographic marvels are matched only by its urban complexity—cities layered with regional identities, historical narratives, and administrative hierarchies that deserve to be mapped with care.
To meet that need, I’ve developed a comprehensive **database of cities in Argentina**, each tied to its corresponding **region and department**, and accurately geolocated with **latitude and longitude**. This dataset is made available in multiple formats—**Excel (.xlsx)**, **CSV**, **SQL**, **JSON**, and **XML**—with a strong recommendation to begin with the **Excel version**, newly added to make the data more accessible, visual, and ready for immediate exploration.
Urban Argentina: From Buenos Aires to the Andes
Buenos Aires may dominate the headlines and GDP, but geographically, Argentina’s urban character is polycentric. Córdoba sits inland, thriving on culture and innovation. Rosario grows by the Paraná, pulsing with logistics and trade. Mendoza emerges from the Andean foothills, the scent of wine and mountain air inseparable. And then there are smaller but no less vital nodes—Salta, San Juan, Comodoro Rivadavia, RÃo Gallegos—each embedded in a specific topographic and administrative framework.
That framework matters. Argentina is divided into **provinces**, and within them, **departments and municipalities**. These layers are not symbolic—they determine governance, infrastructure budgets, disaster planning, and more. That’s why the dataset doesn’t stop at listing cities; it connects each to its **exact province and departmental designation**, anchoring geography in real-world functionality.
Why Excel Is Now the Ideal Format for Spatial Insight
Of all the formats offered, **Excel (.xlsx)** marks the most significant evolution in how this data can be used. While SQL and JSON serve developers, Excel serves everyone else—planners, teachers, municipal workers, journalists, and students—those who need to sort, filter, and interpret geographic data quickly, without writing code or configuring a database.
In Excel, you can isolate all cities within Patagonia in seconds. You can filter by department to identify administrative overlaps, or rank cities by longitude to trace Argentina’s east-west contrasts. It becomes possible to create real-time visualizations, identify settlement gaps, or prepare development reports with clarity and speed. Excel transforms geographic data into **immediate strategic value**.
Precision Across a Country of Immense Scale
Argentina’s size is not just impressive—it’s a logistical challenge. The distance between Jujuy and Ushuaia is over 3,700 kilometers. From the Andes to the Atlantic, cities face entirely different climates, infrastructures, and administrative pressures. Having precise, well-structured spatial data is no longer optional—it is essential to understanding how Argentina functions as a nation.
That’s why this dataset integrates **clean, georeferenced city data**, including **latitude and longitude**, with administrative divisions that match the current political landscape. It allows users to work with Argentina not as an abstract landmass, but as a layered system of relationships—between land and power, between cities and their departments, between geography and governance.
Reclaiming the Spatial Narrative of Argentina
Argentina is often spoken of in sweeping cultural terms—tango, beef, fútbol—but underneath these stories lies a complex geographic body. The cities and regions are not all the same, and they cannot be treated as such in any serious analysis. That’s what this dataset seeks to correct. It invites users to see the country as it truly is: diverse, spatially structured, and full of geographic logic that only reveals itself through accurate data.
With the Excel format now leading the charge, that logic is easier to uncover than ever before. Whether you're modeling economic corridors across the pampas, comparing urban sprawl in the provinces, or integrating city data into climate resilience planning, this is the tool that brings **Argentina’s urban geography to life**.
Serious geography starts with serious data. And with this structured city database, Argentina’s story is ready to be told—region by region, department by department, city by city.
