Peru cities list with latitude and longitude in CSV, XML, SQL, JSON format

Peru
Peru
CSV, SQL, XML, JSON

Last update : 13 December 2024.

Country
Peru
Capitale
Lima
Number of cities
39062
Download
Click here

Below is a list of 100 prominent cities in Peru. Each row includes a city's latitude, longitude, region and other variables of interest. This is a subset of all 39062 places in Peru 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 Peru is Lima.


Geoname_IDCityAlternate_NameCountry_CodeRegionSub_regionLatitudeLongitudeElevationPopulationTimezoneFcode_Name
11515874SachavacayocSachavacayocPEMadre de DiosProvincia de Tambopata-12.85012-69.360390America/Limapopulated place
6674913ShaylloPEJuninProvincia de Jauja-11.52367-75.312410America/Limapopulated place
3965982Chetja JalaPEPunoProvincia de Carabaya-14.35052-69.890570America/Limapopulated place
6369317YanaccasaPEHuancavelicaHuaytara-13.71861-75.01250America/Limapopulated place
6304870HuampumayoPEHuanucoPuerto Inca-9.84699-75.382150America/Limapopulated place
3965137ParobambaPEAyacuchoProvincia de La Mar-13.20922-73.8863338America/Limapopulated place
6278785MorupaPELoretoProvincia de Maynas-3.47091-72.634250America/Limapopulated place
6309092SonocaPEApurímacProvincia de Andahuaylas-13.61917-73.0711170America/Limapopulated place
3927087Torre BlancaHacienda Torre Blanca,Torre Blanca,Torre Blanca HaciendaPELima regionProvincia de Huaral-11.54333-77.26384America/Limapopulated place
3695660La PiedraPELambayequeProvincia de Lambayeque-6.56667-79.88333469America/Limapopulated place
6560981UchubambaPEJuninProvincia de Jauja-11.4512-75.2534833America/Limapopulated place
3944598ChahuañaChahuana,ChahuañaPEArequipaProvincia de Castilla-15.10268-72.191110America/Limapopulated place
6310251CuchoPEPunoProvincia de Chucuito-16.79415-69.28510America/Limapopulated place
6664133CapusaPEAncashOcros-10.38657-77.486890America/Limapopulated place
3931282PungoPEArequipaProvincia de Caylloma-15.68-71.947220America/Limapopulated place
3945265CashacotoPEAncashOcros-10.37373-77.429765America/Limapopulated place
3925805YanahuaraPEMoqueguaProvincia de General Sánchez Cerro-16.13108-70.55403242America/Limapopulated place
6304734San JoséPEPascoProvincia de Oxapampa-10.13278-75.3063929America/Limapopulated place
3937474JupayccochaPEPascoProvincia de Daniel Carrión-10.47892-76.671310America/Limapopulated place
7543967Alto JuñaoPESan MartínProvincia de Mariscal Cáceres-7.25056-76.691910America/Limapopulated place
3762188El AlvaradoPECajamarcaProvincia de Jaén-5.99833-79.167220America/Limapopulated place
3962737ChuncacochaPELima regionHuaura-10.91737-76.70070America/Limapopulated place
3696840GualingasPECajamarcaProvincia de Jaén-5.96667-78.933330America/Limapopulated place
3926602UcutuyocPEJuninProvincia de Chupaca-12.14574-75.467070America/Limapopulated place
3760839Sargento PuñoPELoretoDatem del Marañón-3.22139-77.5997259America/Limapopulated place
11792782TumapirhuaHacienda Toma Perua,TumapirhuaPEPunoProvincia de Huancané-15.04498-69.3559185America/Limapopulated place
3695888La EsperanzaPELambayequeProvincia de Lambayeque-5.90836-79.815950America/Limapopulated place
11512973TabocalTabocalPEMadre de DiosProvincia de Tahuamanú-11.20368-69.582410America/Limapopulated place
9819647Alto PichanakiAlto PichanakiPEJuninChanchamayo-10.98164-74.973260America/Limapopulated place
3936457LilpayaPELima regionProvincia de Huarochirí-12.05-76.2666717America/Limapopulated place
3950515PumachiriPEArequipaProvincia de Caylloma-15.60199-71.658560America/Limapopulated place
6403273SumacpampaPEHuanucoProvincia de Huánuco-10.06278-76.572220America/Limapopulated place
6385090YargoPELa LibertadProvincia de Pataz-8.25917-77.413610America/Limapopulated place
3965978ChilliuteraPEPunoProvincia de Carabaya-14.3545-69.936860America/Limapopulated place
3937628JihuanePEAyacuchoProvincia de Sucre-14.35611-73.588060America/Limapopulated place
3958784Guan PataPEAyacuchoProvincia de Sucre-14.11722-73.861120America/Limapopulated place
3967401CabrerioPELima regionProvincia de Huaral-11.10556-76.649440America/Limapopulated place
3934923Minas ChicoPELima regionBarranca-10.8992-77.486840America/Limapopulated place
3941699Cunca HuaylloCunca Huayllo,CuncahuayllaPEAyacuchoProvincia de Huamanga-13.28111-74.396480America/Limapopulated place
3937789JatunhuasiJahunhuasi,JatunhuasiPEJuninProvincia de Concepción-12.08333-75.633330America/Limapopulated place
11792202QueduaniQueduaniPEPunoSan Antonio De Putina-14.53507-69.206280America/Limapopulated place
6374927TamboPEApurímacProvincia de Andahuaylas-13.65221-73.530560America/Limapopulated place
6393200NuayracpuncoPECuscoProvincia de Urubamba-13.24278-72.286670America/Limapopulated place
3943522ChoncorcotaPEPunoProvincia de Chucuito-16.20619-69.511870America/Limapopulated place
3941163EnsenadaPEArequipaProvincia de Islay-17.11667-71.850America/Limapopulated place
3959426San Juan GrandeSan Juan GrandePEMadre de DiosProvincia de Manú-12.60112-70.21627255America/Limapopulated place
3817013SausilloPEPiuraProvincia de Sullana-4.62583-80.746948America/Limapopulated place
3960315Pampa BlancaPEIcaProvincia de Palpa-14.21782-75.0949347America/Limapopulated place
3944389ChanchamayoChanchamayoPEIcaProvincia de Pisco-13.68541-75.793222America/Limapopulated place
3693225Puerto JoséPELoretoDatem del Marañón-2.86667-76.40America/Limapopulated place
6304424Hondo VadoPEJuninProvincia de Chupaca-12.21194-75.571110America/Limapopulated place
3940706Fundo GramadalFundo Gramadal,GramadalPELima regionLima-11.95199-77.124340America/Limapopulated place
8663421PumtaoccoPEHuancavelicaProvincia de Tayacaja-12.44323-74.997120America/Limapopulated place
6384942InchanPELa LibertadProvincia de Pataz-8.15778-77.3827884America/Limapopulated place
11007452El PuquioEl PuquioPECajamarcaProvincia de Contumazá-7.33046-79.020650America/Limapopulated place
6669148Tuyun PampaPEJuninProvincia de Yauli-11.19867-76.478610America/Limapopulated place
6666234TutucochaPEHuanucoLauricocha-9.93118-76.644820America/Limapopulated place
3961626PlazapampaPELima regionProvincia de Yauyos-12.53434-75.940630America/Limapopulated place
6304469HuascacochaPEJuninProvincia de Chupaca-12.2275-75.530560America/Limapopulated place
11511549Cipriano TtitoCipriano TtitoPEMadre de DiosProvincia de Tahuamanú-11.81694-69.057580America/Limapopulated place
3695164Los MoreAlto de los More,Los More,Los MoresPEPiuraProvincia de Piura-5.33613-80.70010America/Limapopulated place
3694250OmaguasOmaguas,Omaguas PendenciaPELoretoProvincia de Maynas-4.13333-73.266670America/Limapopulated place
3933313Pampa BlancaPEMoqueguaProvincia de General Sánchez Cerro-16.77935-71.2462657America/Limapopulated place
3941511CuzcuzCuz-Cuz,CuzcuzPEAncashProvincia de Huarmey-10.06561-78.1192450America/Limapopulated place
3946322CahuactaCahuactaPEArequipaProvincia de Castilla-15.24439-72.124899America/Limapopulated place
3742777San IsidroPECajamarcaProvincia de San Miguel-6.91311-79.1507511America/Limapopulated place
6403456PatahuasinPEHuanucoLauricocha-10.27583-76.655560America/Limapopulated place
3932183PirhuaPEArequipaProvincia de Caylloma-15.30646-71.200430America/Limapopulated place
6666040Tacta UcroPEHuanucoProvincia de Dos de Mayo-9.82755-76.818380America/Limapopulated place
3743605PuentePELambayequeProvincia de Lambayeque-6.1505-79.477580America/Limapopulated place
6304649LlihuaPELima regionProvincia de Yauyos-12.39139-75.611110America/Limapopulated place
3952645LlutaPETacnaProvincia de Tacna-17.83716-70.032880America/Limapopulated place
11792737TarucaniTarucaniPEPunoProvincia de Huancané-15.09318-69.48619101America/Limapopulated place
6379730CapiacashcaPEAncashProvincia de Yungay-9.40222-77.959170America/Limapopulated place
3692367San MiguelPEHuanucoProvincia de Huánuco-9.51667-76.050America/Limapopulated place
3929197Santa IsabelSanta Isabel,Santa Isabel HaciendaPEIcaProvincia de Ica-14.06667-75.71America/Limapopulated place
3761441ShitaPEPiuraProvincia de Huancabamba-5.76222-79.621940America/Limapopulated place
3937039La MartinezPEIcaProvincia de Ica-13.96667-75.733330America/Limapopulated place
3939291HuarajoccasaPEArequipaProvincia de Caylloma-15.14528-71.891940America/Limapopulated place
3941059EstagagachePEMoqueguaProvincia de Mariscal Nieto-16.73489-70.767574America/Limapopulated place
12291499Pulpito AltaPulpito AltaPEAyacucho-12.45889-73.952910America/Limapopulated place
11087891CahachoCahachoPEIcaProvincia de Pisco-13.63287-76.17920America/Limapopulated place
10641921JonchoJonchoPEAyacuchoProvincia de Lucanas-14.63898-74.687020America/Limapopulated place
8673016NiñoHacienda Nino,Hacienda Niño,Nino,NiñoPEAyacuchoProvincia de Huamanga-13.11875-74.14750America/Limapopulated place
6670341RuruhuánPEHuanucoProvincia de Huánuco-9.7604-76.23575205America/Limapopulated place
8664282Orcon CollpaPEJuninProvincia de Huancayo-12.04501-74.782340America/Limapopulated place
3944507ChallaocoPEPunoEl Collao-16.79005-69.847590America/Limapopulated place
3742682La PalizadaPECajamarcaProvincia de San Miguel-6.86564-79.00790America/Limapopulated place
3695608La RinconadaLa RinconadaPEAncashProvincia de Santa-9.03019-78.547450America/Limapopulated place
3938751HuichincaPEPunoProvincia de Puno-16.12406-70.037740America/Limapopulated place
6664457CajónPEAncashProvincia de Bolognesi-10.16747-77.120250America/Limapopulated place
3752031MamagPECajamarcaProvincia de Celendín-6.77578-78.200560America/Limapopulated place
6674799IllpaPEJuninProvincia de Concepción-11.71049-75.073060America/Limapopulated place
8665074PancarpataPEHuancavelicaProvincia de Tayacaja-12.12565-74.620010America/Limapopulated place
3942169Corpanto ArtiedaCorpanto,Corpanto ArtiedaPEMoqueguaProvincia de Mariscal Nieto-17.27866-70.983390America/Limapopulated place
3946434CacachaPEAyacuchoProvincia de Sucre-14.31667-73.70America/Limapopulated place
3927652TayocPEAyacuchoProvincia de La Mar-12.98333-73.816670America/Limapopulated place
3947877AñazaAnaso,Anaza,Añaso,AñazaPEHuancavelicaHuaytara-13.53426-75.018190America/Limapopulated place
3694315Nueva OlindaPELoretoMariscal Ramon Castilla-4.41616-71.284060America/Limapopulated place
8664110MarcoPEHuancavelicaProvincia de Tayacaja-12.37531-74.8017958America/Limapopulated place

**Exploring Peru: Insights from a Geographer**

Nestled in the heart of South America, Peru is a land of unparalleled natural beauty, rich cultural heritage, and geographical diversity. As a geographer delving into the complexities of this enchanting country, the quest for data on its cities, regions, and geographical coordinates unveils a narrative of resilience, exploration, and geographical significance waiting to be uncovered.

Cities of Peru: Anchors of History and Progress**

Peru's cities are not just urban centers but living testaments to the country's rich history and ongoing development. From the bustling streets of Lima, the capital city and economic hub, to the colonial charm of Cusco and the coastal allure of Arequipa, each urban enclave reflects a unique blend of tradition and modernity. Obtaining data on these cities offers insights into their population dynamics, economic activities, and cultural landmarks that shape the Peruvian landscape.

Regions and Departments of Peru: Exploring the Country's Geographical Tapestry**

Beyond the urban sprawl, Peru's regions and departments showcase the country's diverse landscapes and ecosystems. From the majestic peaks of the Andes Mountains to the lush Amazon rainforest and the arid deserts of the coast, each region boasts its own unique natural beauty and cultural heritage. Gathering data on these regions provides a deeper understanding of their environmental resources, biodiversity, and socio-economic dynamics, crucial for sustainable development in Peru.

Latitude and Longitude of Peru: Navigating the Country's Coordinates**

As a geographer, obtaining precise latitude and longitude data for each city of Peru is essential for understanding its geographical layout and spatial distribution. These coordinates serve as navigational markers, guiding explorers through the country's diverse terrain and waterways. From the ancient ruins of Machu Picchu to the remote villages of the Andean highlands and the pristine beaches of the Pacific coast, each point on the map tells a story of geographical significance and cultural heritage, shaping Peru's identity as a land of exploration and adventure.

Conclusion: Mapping Peru's Geographical Essence**

In the pursuit of data on Peru's cities, regions, and geographical coordinates, a deeper narrative emerges—one of resilience, diversity, and geographical significance. It is a narrative that celebrates the intrinsic connection between the Peruvian people and their natural surroundings, reflecting a profound respect for the land and its resources. As a geographer, unraveling this tapestry of geographical intricacies is not just a scholarly pursuit but a journey of discovery and appreciation for the wonders of our planet.

Peru beckons—a land of endless exploration, waiting to be understood, cherished, and celebrated for its geographical marvels and cultural treasures.

download world databases cities Peru

Download data files for Peru's cities in CSV, SQL, XML and JSON formats

Mapping the Geography of Peru: A Comprehensive Data Approach for Urban and Regional Planning

Peru, a country rich in history, culture, and natural beauty, boasts a diverse and complex geography that shapes its urban development and economic activities. From the towering Andes mountains to the lush Amazon rainforest, and the Pacific coastline, Peru’s physical landscape is as varied as its regional divisions. As a geographer, the task of understanding how cities, regions, and departments are distributed across these diverse environments is essential for effective urban planning, resource management, and environmental sustainability. The availability of accurate geographic data, including the latitude and longitude of cities, is crucial for analyzing these spatial relationships and guiding development in a way that balances urban growth with environmental preservation.

The Administrative and Geographical Structure of Peru

Peru is divided into 26 regions (or departments) and one constitutional province, Lima. Lima, the capital city, serves as both the political and economic heart of the nation. Each of Peru's regions has its own unique geographical features, including the high-altitude Andean mountain ranges, vast deserts, and the tropical rainforest that dominates the eastern part of the country. Some key regions include Arequipa, Piura, and Cusco, each known for its cultural significance and economic contributions.

The country's geography significantly influences urbanization patterns. The western coastal regions, such as Lima, are highly urbanized due to their proximity to the Pacific Ocean, while the Andean highlands and Amazonian lowlands are less densely populated, with more rural communities. Understanding the relationship between cities, rural areas, and natural resources is essential for designing policies that address regional disparities and foster balanced development across the country.

Latitude and Longitude: Mapping Peru’s Cities and Regions

Latitude and longitude are fundamental tools for mapping and analyzing the cities and regions of Peru. By obtaining precise coordinates for key cities such as Lima, Cusco, Arequipa, and Trujillo, geographers can map out how these urban centers are positioned in relation to natural features such as rivers, mountains, and forests.

For example, knowing the exact latitude and longitude of Lima allows for a comprehensive analysis of the city's role as an economic hub, its access to the Pacific Ocean, and its connection to other regions within the country. Similarly, the coordinates of Cusco provide insights into its location in the heart of the Andes, a critical point for tourism and historical preservation, especially given its proximity to the ancient Incan city of Machu Picchu.

Latitude and longitude data also helps to identify regions of the country that may face specific challenges related to geography. For instance, understanding the coordinates of cities in the Amazon basin allows researchers to examine how proximity to natural resources influences urban growth and infrastructure development in the region. These geographic coordinates also support disaster management strategies, particularly in areas prone to earthquakes, floods, or landslides, by providing accurate data for risk assessments and response planning.

The Value of Geographic Data in Multiple Formats

To maximize the utility of geographic data for research, urban planning, and policy development, it is essential that the data be made available in various formats that suit different analytical tools and platforms. By providing geographic data for Peru’s cities, regions, and departments in formats such as CSV, SQL, JSON, and XML, this data can be integrated into multiple systems for enhanced decision-making.

- **CSV (Comma-Separated Values):** CSV files are one of the most widely used formats for organizing and storing geographic data. This format allows for easy storage of information like city names, populations, coordinates, and other essential metrics. CSV files are particularly useful for initial data analysis and visualization, as they can be quickly imported into spreadsheets or mapping software for further processing.

- **SQL (Structured Query Language):** SQL is ideal for working with large, relational datasets. Researchers and urban planners can use SQL to query geographic data, track population growth trends, or analyze urbanization patterns across different regions of Peru. SQL enables detailed spatial analysis by allowing users to run complex queries on various attributes, such as infrastructure, resources, and environmental factors.

- **JSON (JavaScript Object Notation):** JSON is a lightweight and flexible format that is commonly used in web applications and dynamic data systems. By offering geographic data in JSON format, developers can create interactive web maps or real-time data platforms that allow users to explore geographic information about cities, regions, and infrastructure in Peru. JSON is ideal for applications that need to process and display real-time geographic data.

- **XML (Extensible Markup Language):** XML is well-suited for managing complex, hierarchical geographic data. This format is particularly useful for organizing information about administrative boundaries, transportation networks, and environmental features. XML ensures that geographic data can be easily shared and integrated across different platforms, making it ideal for large-scale research projects or collaborative studies.

By offering geographic data in these diverse formats, Peru’s geographic information becomes adaptable to a wide range of uses, from research and development to mobile applications and real-time analysis tools.

A Comprehensive Database for Peru’s Geography

A comprehensive database containing detailed geographic data on Peru’s cities, regions, and departments is an invaluable resource for researchers, urban planners, and policymakers. This database should not only include basic city-level information such as names, population figures, and coordinates but also data on infrastructure, environmental factors, and resource distribution across the country.

For example, comparing cities like Lima, Arequipa, and Cusco can provide insights into how geography influences urban development. Lima, with its coastal location and large population, faces different urbanization challenges compared to cities located in the Andean mountains, such as Cusco. A comprehensive geographic database helps to identify regions where infrastructure development is needed or where environmental protection efforts should be prioritized.

The database should be accessible in multiple formats such as CSV, SQL, JSON, and XML, ensuring that it can be easily integrated into research platforms, urban planning systems, and policy analysis tools. Whether used for analyzing regional growth patterns, managing infrastructure projects, or assessing environmental impacts, this geographic data is crucial for making informed decisions about the future development of Peru.

Conclusion

Peru’s diverse and unique geography presents both challenges and opportunities for urban planning, resource management, and environmental sustainability. By obtaining accurate geographic data on the cities, regions, and departments—including their latitude and longitude coordinates—researchers and policymakers can gain valuable insights into the spatial dynamics of the country. Offering this data in flexible formats such as CSV, SQL, JSON, and XML ensures that it is accessible, adaptable, and useful for a wide range of applications, from infrastructure development to environmental conservation. A data-driven approach to understanding Peru’s geography supports informed decision-making, fosters sustainable development, and helps guide the country toward a balanced and prosperous future.

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