Peru cities list with latitude and longitude in CSV,SQL,XML,JSON formats
Last update : 15 January 2025.
This is the best list of 39062 cities in the Peru available in 4 formats ( CSV, Json, SQL, XML ). We have cleaned up the Geoname database to leave only the towns, capitals and villages. All are all associated with regions and sub-regions (where available).
Each file contains the following data: Geoname_ID, City, Alternate_Name, Country_Code, Region, Sub_region, Latitude, Longitude, Elevation, Population, Timezone, Fcode_Name. See the FAQ below for a detailed explanation.
Here is an example of the data from the Peru file that you are going to retrieve. The data is displayed here in the form of a table:
Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
---|---|---|---|---|---|---|---|---|---|---|---|
3698385 | Chequepe | PE | La Libertad | Viru | -8.43333 | -78.75 | 0 | America/Lima | populated place | ||
3933520 | Palca | PE | Arequipa | Provincia de Arequipa | -16.3775 | -71.80917 | 10 | America/Lima | populated place | ||
6383143 | Caclic | Caclic | PE | Amazonas | Provincia de Chachapoyas | -6.20311 | -77.90136 | 52 | America/Lima | populated place | |
3929242 | Santa Cruz | Cruz Valle,Flores,Santa Cruz,Santa Cruz de Flores,Santa Cruz del Valle | PE | Lima region | Provincia de Yauyos | -12.76853 | -76.15767 | 0 | America/Lima | populated place | |
10952852 | La Linea Ferrea | La Linea Ferrea | PE | Lambayeque | Provincia de Chiclayo | -6.797 | -79.84651 | 0 | America/Lima | populated place | |
3965659 | Llactapata | PE | Puno | Provincia de Sandia | -14.03997 | -69.76045 | 0 | America/Lima | populated place | ||
6309021 | Chilcapata | PE | Apurímac | Provincia de Andahuaylas | -13.59074 | -73.23373 | 0 | America/Lima | populated place | ||
3956592 | Chunte | PE | Cusco | Provincia de Chumbivilcas | -14.64114 | -71.9263 | 0 | America/Lima | populated place | ||
3926881 | Trigo Orcco | PE | Apurímac | Provincia de Abancay | -13.66667 | -72.56667 | 243 | America/Lima | populated place | ||
3934211 | Ocaccahua | Ocacahua,Ocaccahua | PE | Apurímac | Provincia de Cotabambas | -13.79306 | -72.23056 | 0 | America/Lima | populated place | |
3692739 | Salina | Salina,Salinas | PE | Piura | Sechura | -5.85 | -80.61667 | 0 | America/Lima | populated place | |
6308418 | Pallajocha | PE | Apurímac | Provincia de Andahuaylas | -13.76619 | -73.49715 | 0 | America/Lima | populated place | ||
11792889 | Checachapi | Checachapi | PE | Puno | Moho | -15.45174 | -69.37078 | 24 | America/Lima | populated place | |
6664183 | Yeso Jirca | PE | Ancash | Ocros | -10.45555 | -77.36228 | 0 | America/Lima | populated place | ||
6375034 | Soyso | PE | Apurímac | Provincia de Andahuaylas | -13.89389 | -73.54111 | 0 | America/Lima | populated place | ||
3938867 | Huayñuma | PE | Puno | El Collao | -17.25898 | -69.67317 | 0 | America/Lima | populated place | ||
3818025 | Cabanillas | PE | Tumbes | Provincia de Tumbes | -3.59186 | -80.5036 | 0 | America/Lima | populated place | ||
3692447 | San Juan | PE | Loreto | Provincia de Ucayali | -7.93333 | -74.73333 | 0 | America/Lima | populated place | ||
6670139 | Pederna | PE | Huanuco | Provincia de Huánuco | -9.73771 | -76.39452 | 0 | America/Lima | populated place | ||
3925369 | Yututuna | Yututuna | PE | Ayacucho | Provincia de Parinacochas | -15.07101 | -73.72587 | 0 | America/Lima | populated place | |
3934453 | Murco | Marco,Murco | PE | Arequipa | Provincia de Caylloma | -16.08059 | -71.91349 | 0 | America/Lima | populated place | |
6277050 | Nueva Libertad | PE | Loreto | Provincia de Maynas | -2.31644 | -74.16546 | 0 | America/Lima | populated place | ||
3933069 | Para | PE | Moquegua | Provincia de General Sánchez Cerro | -16.32806 | -70.84874 | 26 | America/Lima | populated place | ||
3697530 | Cuzco | Cuzco | PE | San Martín | Picota | -6.98333 | -76.46667 | 0 | America/Lima | populated place | |
10806114 | Pedregal | Pedregal | PE | Lima region | Lima | -11.73735 | -76.96416 | 0 | America/Lima | populated place | |
3934939 | Minas | PE | Ayacucho | Provincia de Cangallo | -13.44215 | -74.74891 | 0 | America/Lima | populated place | ||
11511653 | San Miguel | San Miguel | PE | Madre de Dios | Provincia de Tahuamanú | -11.17247 | -69.44849 | 0 | America/Lima | populated place | |
3943698 | Chipocone | PE | Puno | Moho | -15.35798 | -69.59742 | 0 | America/Lima | populated place | ||
6304496 | Isla | PE | Junin | Provincia de Chupaca | -12.27861 | -75.55583 | 0 | America/Lima | populated place | ||
3696684 | Ticmar | Hacienda Ticmar,Ticmar | PE | La Libertad | Ascope | -7.84437 | -79.26371 | 122 | America/Lima | populated place | |
12291586 | Cobeja | Cobeja | PE | Junin | -11.86418 | -73.88648 | 0 | America/Lima | populated place | ||
6403127 | Auquin Huayin | PE | Huanuco | Lauricocha | -10.12083 | -76.72639 | 0 | America/Lima | populated place | ||
8679724 | Patacancha | PE | Ayacucho | Provincia de Huamanga | -13.32024 | -74.57559 | 0 | America/Lima | populated place | ||
8649787 | Mitococha | PE | Ayacucho | Provincia de Huanta | -12.64154 | -74.12687 | 0 | America/Lima | populated place | ||
3926504 | Untume | Hacienda Untume,Untume | PE | Ayacucho | Provincia de Lucanas | -14.82704 | -74.10369 | 0 | America/Lima | populated place | |
3943749 | Chichuacancha | Chichuacancha,Chinchuacancha | PE | Apurímac | Provincia de Andahuaylas | -13.89668 | -73.51399 | 0 | America/Lima | populated place | |
6365727 | Rayn | PE | Ayacucho | Provincia de Huanca Sancos | -13.87722 | -74.68333 | 0 | America/Lima | populated place | ||
10951157 | San Juan | San Juan | PE | Lambayeque | Provincia de Ferreñafe | -6.61288 | -79.75029 | 0 | America/Lima | populated place | |
3950766 | Gramadal | PE | Arequipa | Provincia de Condesuyos | -15.9269 | -73.0956 | 0 | America/Lima | populated place | ||
6385504 | Machanjallga | PE | La Libertad | Provincia de Pataz | -8.44167 | -77.16861 | 0 | America/Lima | populated place | ||
6675581 | Naucatu Pampa | PE | Huanuco | Provincia de Huamalíes | -9.49909 | -76.64306 | 0 | America/Lima | populated place | ||
3812992 | El Palomar | PE | La Libertad | Ascope | -7.67894 | -79.37286 | 155 | America/Lima | populated place | ||
3939373 | Huanucutu | PE | Puno | Provincia de Lampa | -15.3675 | -70.62278 | 0 | America/Lima | populated place | ||
3964250 | Diamante Azúl | Diamante Auul,Diamante Auúl,Diamante Azul,Diamante Azúl | PE | Ucayali | Atalaya | -10.62163 | -73.96263 | 126 | America/Lima | populated place | |
6310555 | Huilacaya | PE | Puno | Provincia de Chucuito | -16.52747 | -69.0893 | 36 | America/Lima | populated place | ||
3697647 | Cuiparillo | PE | Loreto | Provincia de Alto Amazonas | -5.98333 | -76.03333 | 0 | America/Lima | populated place | ||
3930277 | Ronceros Alto | PE | Ica | Provincia de Chincha | -13.48146 | -76.08268 | 0 | America/Lima | populated place | ||
3945119 | Ccacca Paqui | PE | Huancavelica | Huaytara | -13.25 | -74.98333 | 0 | America/Lima | populated place | ||
3693312 | Pueblo Nuevo | PE | Piura | Provincia de Sullana | -4.80701 | -80.61757 | 0 | America/Lima | populated place | ||
3811928 | Almendral | PE | Amazonas | Provincia de Bagua | -5.62638 | -78.44038 | 97 | America/Lima | populated place | ||
8677140 | Chaupiccasa | PE | Huancavelica | Huaytara | -13.19261 | -74.96543 | 0 | America/Lima | populated place | ||
8664593 | Jabonillo | PE | Huancavelica | Provincia de Tayacaja | -12.38005 | -74.72843 | 0 | America/Lima | populated place | ||
3968320 | Cucapunco | PE | Lima region | Provincia de Huaral | -11.35667 | -76.83917 | 78 | America/Lima | populated place | ||
6412085 | Palmeras | PE | Lima region | Huaura | -11.02556 | -77.43583 | 8 | America/Lima | populated place | ||
11558249 | Molienta | Molienta | PE | Puno | Provincia de Sandia | -14.4898 | -69.41439 | 1 | America/Lima | populated place | |
6368696 | Huaya | PE | Huancavelica | Huaytara | -13.53972 | -75.32944 | 2 | America/Lima | populated place | ||
3944297 | Chaquiucro | PE | Junin | Provincia de Concepción | -12.10979 | -75.50771 | 0 | America/Lima | populated place | ||
6675654 | Tacta | PE | Ancash | Provincia de Huari | -9.43576 | -76.99031 | 40 | America/Lima | populated place | ||
3926205 | Vila-Amaya | PE | Puno | Provincia de Chucuito | -16.32267 | -69.59915 | 0 | America/Lima | populated place | ||
3743278 | Sinchahuelito | PE | Cajamarca | Provincia de Chota | -6.34611 | -79.25116 | 0 | America/Lima | populated place | ||
6278803 | Santa Lucía | PE | Loreto | Mariscal Ramon Castilla | -3.32541 | -71.87578 | 0 | America/Lima | populated place | ||
6368761 | Muchicc | PE | Huancavelica | Huaytara | -13.60639 | -75.39083 | 0 | America/Lima | populated place | ||
3744199 | Carrizal | PE | La Libertad | Sanchez Carrion | -7.83231 | -77.86214 | 152 | America/Lima | populated place | ||
11197590 | Santa Rosa | Santa Rosa | PE | Loreto | Provincia de Ucayali | -7.42964 | -75.04948 | 0 | America/Lima | populated place | |
8689307 | Llacllay | PE | Ayacucho | Provincia de La Mar | -12.92513 | -73.93292 | 0 | America/Lima | populated place | ||
11558290 | Santiago Quebrada | Santiago Quebrada | PE | Puno | Provincia de Sandia | -14.06435 | -69.18055 | 118 | America/Lima | populated place | |
6666185 | Cashapata | PE | Ancash | Provincia de Bolognesi | -9.85764 | -76.89325 | 4 | America/Lima | populated place | ||
3945041 | Ccarpiza | Carpisa,Ccarpiza | PE | Arequipa | Provincia de Caravelí | -15.41245 | -73.30517 | 0 | America/Lima | populated place | |
3948160 | Aliaga | Aliaga,Aliaga Hacienda | PE | Lima region | Lima | -12.01667 | -77.06667 | 0 | America/Lima | populated place | |
3941451 | Dos de Mayo | 2 de Mayo,Dos de Mayo | PE | Huancavelica | Huaytara | -13.61416 | -75.42509 | 32 | America/Lima | populated place | |
3957219 | Chillutera | PE | Arequipa | Provincia de Caylloma | -14.89753 | -71.89546 | 0 | America/Lima | populated place | ||
3965796 | Comunidad | PE | Puno | Provincia de Sandia | -14.16421 | -69.66736 | 274 | America/Lima | populated place | ||
3932549 | Pellejo Chico | Fundo Pellejo Chico,Pellejo Chico | PE | Arequipa | Provincia de Caravelí | -15.55182 | -74.6286 | 0 | America/Lima | populated place | |
3930521 | Rapchi | PE | Cusco | Provincia de Urubamba | -13.31667 | -72.23333 | 0 | America/Lima | populated place | ||
3935008 | Michaca | PE | Arequipa | Provincia de La Unión | -15.14806 | -72.89806 | 0 | America/Lima | populated place | ||
11511695 | Urubamba | Urubamba | PE | Madre de Dios | Provincia de Tahuamanú | -11.33937 | -69.37389 | 0 | America/Lima | populated place | |
3695241 | Lopuna | PE | San Martín | Provincia de Mariscal Cáceres | -7.25 | -76.73333 | 0 | America/Lima | populated place | ||
10865781 | Pucacuro | Pucacuro | PE | San Martín | Provincia de Lamas | -6.50355 | -76.5139 | 0 | America/Lima | populated place | |
6403326 | Shisha | PE | Huanuco | Lauricocha | -10.10167 | -76.58278 | 36 | America/Lima | populated place | ||
3940498 | Hacienda Consac | PE | Junin | Provincia de Jauja | -11.97931 | -75.64136 | 0 | America/Lima | populated place | ||
3942758 | Collopampa | PE | Arequipa | Provincia de Castilla | -15.34461 | -72.31645 | 0 | America/Lima | populated place | ||
3931020 | Quemazon | PE | Ica | Provincia de Nazca | -14.96283 | -74.74687 | 23 | America/Lima | populated place | ||
6308455 | Pata Corral Mojo | PE | Apurímac | Provincia de Andahuaylas | -13.79778 | -73.35417 | 0 | America/Lima | populated place | ||
3966897 | Chinchina | PE | Lima region | Provincia de Huarochirí | -11.95361 | -76.47583 | 38 | America/Lima | populated place | ||
3931667 | Pucara | Pucara,Pucará | PE | Lima region | Provincia de Canta | -11.69022 | -76.81462 | 263 | America/Lima | populated place | |
3956414 | Miraflores | PE | Cusco | Provincia de Chumbivilcas | -14.57634 | -71.90512 | 4 | America/Lima | populated place | ||
3948306 | Ahuajo | PE | Ayacucho | Provincia de Huamanga | -13.4568 | -73.96328 | 0 | America/Lima | populated place | ||
11003726 | Pongo de Los Uchuya | Pongo de Los Uchuya | PE | Ica | Provincia de Ica | -14.1128 | -75.69152 | 0 | America/Lima | populated place | |
11040751 | Coyohuata | Coyohuata | PE | Ayacucho | Paucar Del Sara Sara | -15.35234 | -73.30274 | 0 | America/Lima | populated place | |
11003712 | La Mejia | La Mejia | PE | Ica | Provincia de Ica | -14.05429 | -75.70892 | 0 | America/Lima | populated place | |
3699371 | Bellavista | PE | Loreto | Provincia de Maynas | -4.05 | -73.05 | 0 | America/Lima | populated place | ||
3690776 | Yanchamayo | Yachamayo,Yanchamayo | PE | Loreto | Provincia de Ucayali | -6.53333 | -75.1 | 0 | America/Lima | populated place | |
3933526 | Palca | PE | Ayacucho | Provincia de Parinacochas | -15.4 | -73.61667 | 0 | America/Lima | populated place | ||
3942178 | Coropuro | PE | Tacna | Provincia de Tarata | -17.47892 | -70.26519 | 20 | America/Lima | populated place | ||
3742838 | Quepan | PE | Cajamarca | Provincia de San Miguel | -6.83108 | -79.19201 | 24 | America/Lima | populated place | ||
3946274 | Cajamarquilla | PE | Ancash | Ocros | -10.35187 | -77.19594 | 421 | America/Lima | populated place | ||
3941003 | Estancia Tallape | PE | Puno | Provincia de Puno | -16.30622 | -70.13969 | 0 | America/Lima | populated place | ||
6560916 | Libertad Tinco | PE | Junin | Provincia de Jauja | -11.30047 | -75.30919 | 0 | America/Lima | populated place | ||
8672904 | Conchapata | PE | Ayacucho | Provincia de Huamanga | -13.15874 | -74.20836 | 0 | America/Lima | populated place | ||
6303076 | Villa Capiri | PE | Junin | Provincia de Satipo | -11.12923 | -74.67331 | 736 | America/Lima | populated place |
Discovering Peru: A Geographical Exploration
Peru, a country renowned for its cultural history and rich biodiversity, offers an incredible array of geographical features that shape its identity. From the towering Andes mountains to the lush Amazon rainforest, Peru's landscapes are diverse and complex. The country's vast geography not only defines the environment but also influences its cities, settlement patterns, and economic activities. Understanding the spatial relationships within Peru, including the precise locations of cities and regions, can provide a deeper insight into how geography influences life across the nation. By obtaining accurate geographical data on the cities of Peru, including their regions and departments, one can explore the country's structure and better understand the connections between natural and urban spaces.
The Geography of Peru: A Land of Extremes
Peru's geography is marked by dramatic contrasts. Divided into three major regions—the coastal deserts, the Andean highlands, and the Amazon rainforest—each area offers a different set of geographical characteristics, creating a nation of great ecological diversity. The western coast, characterized by arid deserts and limited rainfall, is home to the country’s largest city, Lima. In contrast, the Andes mountains, which run through the center of the country, are home to high-altitude cities such as Arequipa and Cusco, the latter being a UNESCO World Heritage Site and the gateway to the ancient Incan civilization.
The eastern part of the country is dominated by the Amazon Basin, an area of dense tropical rainforest that is home to numerous indigenous communities and a vast array of wildlife. The geographical features of this region create a sharp contrast with the Andean and coastal landscapes, offering a more humid climate and a terrain shaped by an intricate network of rivers, including the mighty Amazon River.
This geographical division not only influences the natural environment but also determines settlement patterns, agricultural practices, and cultural diversity within Peru. The rugged Andean terrain, for example, has shaped the development of rural communities that are spread across high-altitude valleys, while the coastal cities have evolved as centers of trade and commerce.
Cities and Regions of Peru: Mapping the Urban and Rural Divide
Peru is divided into 26 departments, along with the constitutional province of Callao, which is considered part of the capital, Lima. Each department has its own regional identity and is further subdivided into provinces and districts. The distribution of cities across these departments is influenced by Peru’s varied geography, with the majority of urban centers located in the highland valleys or along the coast.
Lima, the capital and largest city of Peru, is located on the Pacific coast and serves as the country’s political, economic, and cultural heart. Lima is home to nearly a third of the nation’s population and serves as a hub for trade, business, and tourism. Other major cities like Arequipa, Trujillo, and Cusco play important roles in their respective regions, each contributing to Peru's economy, history, and culture.
Cusco, once the capital of the Incan Empire, is not only a cultural and historical epicenter but also a key point for tourism, particularly for those visiting the nearby Machu Picchu. Arequipa, located in the southern Andes, is another important city with a rich colonial history and proximity to natural landmarks such as the Colca Canyon. Trujillo, on the northern coast, serves as a key center for agriculture, especially for the production of crops like asparagus and sugarcane.
In addition to these major cities, smaller towns and rural areas across the departments play a vital role in sustaining the country’s agricultural economy, with many producing crops like potatoes, quinoa, and coffee, which are staples in both domestic and international markets.
Latitude and Longitude: Mapping the Cities of Peru
For a more comprehensive understanding of Peru’s geographical structure, precise latitude and longitude coordinates of its cities, regions, and departments are crucial. Knowing the exact geographical coordinates of cities like Lima, Cusco, and Arequipa allows for a detailed mapping of the country’s urban centers, revealing their relationship to important natural features such as mountain ranges, river systems, and climate zones.
For instance, Lima’s position along the Pacific coast is vital to understanding the flow of trade and commerce between Peru and the rest of the world. On the other hand, cities like Cusco and Arequipa, positioned in the Andes, provide insight into the challenges faced by communities that reside at high altitudes, particularly regarding transportation, agriculture, and water access.
Accessing latitude and longitude data for cities throughout Peru enables researchers and urban planners to assess regional connectivity, identify economic opportunities, and plan infrastructure improvements. Moreover, it allows for better environmental management by identifying regions that may be vulnerable to natural disasters, such as floods in the Amazon basin or earthquakes in the Andean region.
Unlocking the Potential of Geospatial Data for Peru
Having access to a comprehensive database that includes detailed information on the cities, regions, and coordinates of Peru is invaluable for anyone looking to study the country’s geography. By obtaining this data, researchers, urban planners, and policymakers can gain a deeper understanding of how geography affects the development of urban and rural areas across Peru.
Geospatial data is essential for effective planning, resource management, and environmental conservation. By mapping the precise coordinates of cities, regions, and important landmarks, Peru can more effectively develop sustainable policies that balance urban growth with environmental protection. Accurate data also allows for the identification of vulnerable areas, helping to prepare for and mitigate the impact of natural disasters such as floods or earthquakes, which can have devastating effects on both urban and rural populations.
Furthermore, this data can support the tourism industry, helping to develop more efficient routes and infrastructure around key cultural and natural sites, such as Machu Picchu, the Nazca Lines, or the Amazon rainforest. It also enhances the ability to monitor environmental changes, particularly in sensitive ecosystems like the Amazon Basin or the high-altitude paramo regions in the Andes.
Conclusion
Peru’s geography is defined by a stunning array of diverse landscapes, from the arid coast to the towering Andes and the lush Amazon rainforest. Understanding the relationship between these geographical features and the distribution of cities and regions is crucial for studying the country’s development and challenges. Access to precise geographical data, including latitude and longitude coordinates for Peru’s cities, regions, and departments, allows for better planning, resource management, and environmental stewardship. With such data, Peru can continue to grow sustainably, balancing its rich cultural heritage with its natural resources and urban expansion.
FaQ about Peru
- Geoname_ID: This is a unique identifier for each place or geographical name in the Geoname database.
- City: The name of the place, which can be a town, village or any other form of human settlement.
- Alternate_Name: Other names or appellations that the place may have. These alternative names may be in different languages, dialects or even local names.
- Country_Code: This is the ISO 3166-1 alpha-2 code for the country in which the place is located. For example, "US" for the United States, "FR" for France.
- Region: This represents the first-order administrative division in which the location is situated. For example, this could be a state, province or territory.
- Sub_region: This is a second-order administrative division, such as a county or district, within the region.
- Latitude: The geographical latitude of the location, usually in decimal degrees.
- Longitude: The geographical longitude of the location, also usually in decimal degrees.
- Elevation: The elevation or altitude of the location in relation to sea level, usually measured in metres.
- Population: The estimated number of inhabitants or population of the location.
- Timezone: The time zone in which the location is located, in accordance with global time zone standards.
- Fcode_Name: This is a code that categorises the type of location. For example, "PPL" could mean a populated place, while "PPLC" could be the capital of a political entity.