Peru Cities with Latitude & Longitude â Download in Excel, CSV, SQL, JSON, XML
Last update : 24 March 2026.
Here youâll find a curated sample of 100 key cities from Peru, 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 39062 geographic locations across Peru.
Whether youâre 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 Peru is Lima.
| 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 | ||
| 6380475 | Quillash | PE | Ancash | Provincia de Huaraz | -9.44 | -77.54639 | 145 | America/Lima | populated place | ||
| 6670278 | Linda | PE | Huanuco | Provincia de HuĂĄnuco | -9.83576 | -76.09466 | 0 | America/Lima | populated place | ||
| 3940201 | El Higueral | El Higueral,Higueral | PE | Moquegua | Provincia de Ilo | -17.61558 | -71.25546 | 3 | America/Lima | populated place | |
| 3736484 | Inguro | PE | Cajamarca | Provincia de Jaén | -5.47083 | -78.71803 | 95 | America/Lima | populated place | ||
| 7545125 | Señorita Rosillo | PE | San MartĂn | El Dorado | -6.64561 | -76.68113 | 0 | America/Lima | populated place | ||
| 3933711 | Pachamayo | PE | Moquegua | Provincia de General SĂĄnchez Cerro | -16.17047 | -70.68482 | 75 | America/Lima | populated place | ||
| 11511468 | Olortegui | Olortegui | PE | Madre de Dios | Provincia de TahuamanĂș | -11.68798 | -69.23944 | 0 | America/Lima | populated place | |
| 6389387 | Tingana | PE | San MartĂn | Provincia de Moyobamba | -5.91139 | -77.11583 | 19 | America/Lima | populated place | ||
| 3942220 | Corecama | PE | Huancavelica | Provincia de Castrovirreyna | -13.12592 | -75.23176 | 0 | America/Lima | populated place | ||
| 3957087 | Acco Rana | PE | Arequipa | Provincia de Caylloma | -15.39944 | -71.25556 | 0 | America/Lima | populated place | ||
| 3958760 | Cuylampampa | PE | Junin | Provincia de Tarma | -11.09715 | -75.77289 | 0 | America/Lima | populated place | ||
| 3962805 | Hayamachay | PE | Pasco | Provincia de Daniel CarriĂłn | -10.71388 | -76.52376 | 3 | America/Lima | populated place | ||
| 6304246 | Antacata | PE | Junin | Provincia de Jauja | -12.01722 | -75.51972 | 0 | America/Lima | populated place | ||
| 6669102 | Chaquitas | PE | Junin | Provincia de JunĂn | -11.23405 | -76.04798 | 0 | America/Lima | populated place | ||
| 6665626 | Chicuro | PE | Huanuco | Provincia de Dos de Mayo | -9.59507 | -76.66066 | 0 | America/Lima | populated place | ||
| 6660261 | San Luis | PE | Arequipa | Provincia de Arequipa | -16.47276 | -71.90072 | 171 | America/Lima | populated place | ||
| 11515859 | Fundo San Francisco | Fundo San Francisco | PE | Madre de Dios | Provincia de Tambopata | -12.71112 | -69.46049 | 0 | America/Lima | populated place | |
| 3753244 | Agua Colorada | PE | Cajamarca | Provincia de CelendĂn | -6.96013 | -78.19147 | 1 | America/Lima | populated place | ||
| 3926661 | Uchucanchipata | PE | Ayacucho | Provincia de La Mar | -13.01042 | -73.79021 | 0 | America/Lima | populated place | ||
| 3943005 | Circa | PE | Puno | El Collao | -16.79951 | -69.61285 | 0 | America/Lima | populated place | ||
| 6392260 | Canabamba | PE | ApurĂmac | Provincia de Cotabambas | -13.97556 | -72.19528 | 0 | America/Lima | populated place | ||
| 6380067 | Riurin | PE | Ancash | Provincia de Huaylas | -9.19167 | -77.79222 | 266 | America/Lima | populated place | ||
| 3742745 | La Tienda | PE | Cajamarca | Provincia de San Miguel | -6.93359 | -79.15572 | 136 | America/Lima | populated place | ||
| 8701563 | Tirincavini | Tirincavine,Tirincavini | PE | Cusco | Provincia de La ConvenciĂłn | -12.43696 | -73.86717 | 0 | America/Lima | populated place | |
| 8669645 | Mitapasamañan | PE | Ayacucho | Provincia de Huamanga | -13.33281 | -74.36765 | 68 | America/Lima | populated place | ||
| 6660836 | San Antonio | PE | Piura | Provincia de Ayabaca | -4.64076 | -79.83865 | 81 | America/Lima | populated place | ||
| 6674875 | Tingo | PE | Junin | Provincia de Jauja | -11.60054 | -75.32938 | 16 | America/Lima | populated place | ||
| 8650046 | Cruzjasa | PE | Ayacucho | Provincia de Huanta | -12.80929 | -74.18068 | 0 | America/Lima | populated place | ||
| 3693326 | Pucushimin | PE | Ancash | Provincia de Santa | -8.88857 | -78.2297 | 0 | America/Lima | populated place | ||
| 3951486 | Cancahuane | PE | Arequipa | Provincia de Caylloma | -15.80556 | -71.17778 | 0 | America/Lima | populated place | ||
| 3929801 | San Bartolomé | PE | Junin | Provincia de Huancayo | -11.8401 | -74.694 | 245 | America/Lima | populated place | ||
| 6310562 | Jachauta | PE | Puno | Provincia de Chucuito | -16.54646 | -69.11178 | 0 | America/Lima | populated place | ||
| 11558906 | Chococarga | Chococarga | PE | Puno | Provincia de Carabaya | -13.98218 | -69.95593 | 0 | America/Lima | populated place | |
| 3698746 | Cartagena | Cartagena,Cartagena Ciudad,Cartajena | PE | Lambayeque | Provincia de Lambayeque | -6.59324 | -80.02493 | 259 | America/Lima | populated place | |
| 3941541 | Cuyachupa | PE | Puno | Provincia de Lampa | -15.73374 | -70.66805 | 0 | America/Lima | populated place | ||
| 3969536 | San Miguel de Miñaro | PE | Junin | Provincia de Satipo | -11.50389 | -74.41806 | 0 | America/Lima | populated place | ||
| 6669118 | Chuquiquirpay | PE | Junin | Provincia de Yauli | -11.1564 | -76.42804 | 178 | America/Lima | populated place | ||
| 3929057 | Santa Teresita | PE | Lima region | Lima | -12.36711 | -76.76592 | 0 | America/Lima | populated place | ||
| 8661505 | Llamacancha | PE | Huancavelica | Provincia de Churcampa | -12.61909 | -74.53727 | 26 | America/Lima | populated place | ||
| 3931276 | Puno | Pouno,Puna,Punas,Punjo,Puno,Punu,Punum,San Carlos de Puno,pu no,pu nuo,puno,Î ÎżÏÎœÎż,ĐŃĐœĐ°,ĐŃĐœĐŸ,ŐŐžÖŐ¶Őž,àžàžčàčàž,ááŁáá,ăăŒă,æźèŻș,ížë ž | PE | Puno | Provincia de Puno | -15.8422 | -70.0199 | 128637 | America/Lima | seat of a first-order administrative division | |
| 6385286 | Ocshay | PE | Ancash | Provincia de Sihuas | -8.44952 | -77.46243 | 121 | America/Lima | populated place | ||
| 3944942 | Ccollpa | PE | Huancavelica | Huaytara | -13.36224 | -74.87861 | 0 | America/Lima | populated place | ||
| 3957543 | Jilla Jilla | PE | Arequipa | Provincia de Caylloma | -15.46667 | -71.11917 | 0 | America/Lima | populated place | ||
| 3696326 | Huasipe | PE | Piura | Provincia de Ayabaca | -4.88898 | -80.01931 | 0 | America/Lima | populated place | ||
| 3934206 | Ocaña | PE | Ayacucho | Provincia de Huamanga | -13.04506 | -74.3784 | 8 | America/Lima | populated place | ||
| 3928571 | Sircana | PE | Tacna | Provincia de Tacna | -17.84337 | -70.03675 | 0 | America/Lima | populated place | ||
| 6559880 | Jimbe | PE | Ancash | Provincia de Santa | -9.01333 | -78.1375 | 0 | America/Lima | populated place | ||
| 3693281 | Puerta de Sancor | Puerta Sancor,Puerta de Sancor | PE | Piura | Morropon | -4.98333 | -80.2 | 0 | America/Lima | populated place | |
| 6393309 | Lecheria | PE | Cusco | Provincia de Anta | -13.37528 | -72.42472 | 43 | America/Lima | populated place | ||
| 3940939 | Finafinani | PE | Puno | El Collao | -16.60305 | -69.57968 | 0 | America/Lima | populated place | ||
| 8662371 | Tarumarca | PE | Huancavelica | Provincia de Huancavelica | -12.59949 | -74.75943 | 0 | America/Lima | populated place | ||
| 3929372 | San Pablo | Hacienda San Pablo,San Pablo,San Pablo Hacienda | PE | Arequipa | Provincia de CaravelĂ | -15.57267 | -74.48675 | 0 | America/Lima | populated place | |
| 3947517 | Antayaque | PE | Arequipa | Provincia de Caylloma | -15.27649 | -71.49538 | 6 | America/Lima | populated place | ||
| 6671035 | Carampa | PE | Junin | Provincia de Jauja | -11.61784 | -75.62384 | 0 | America/Lima | populated place | ||
| 3940362 | Hacienda Rancho Chico | PE | Puno | Provincia de AzĂĄngaro | -15.06264 | -70.10089 | 0 | America/Lima | populated place | ||
| 8685889 | Patacorral | PE | Ayacucho | Provincia de Huamanga | -13.33416 | -74.55302 | 15 | America/Lima | populated place | ||
| 3956289 | Capaso | PE | Cusco | Provincia de Espinar | -14.59308 | -71.60179 | 0 | America/Lima | populated place | ||
| 3943698 | Chipocone | PE | Puno | Moho | -15.35798 | -69.59742 | 0 | America/Lima | populated place | ||
| 3752800 | Llanero Solitario | PE | Loreto | Provincia de Loreto | -3.8134 | -75.1703 | 0 | America/Lima | populated place | ||
| 3943254 | San Pedro de Chunan | Chunan,ChunĂĄn,San Pedro de Chunan | PE | Junin | Provincia de Jauja | -11.72488 | -75.4896 | 558 | America/Lima | populated place | |
| 6671098 | Cutulaja | PE | Junin | Provincia de Jauja | -11.66619 | -75.60261 | 0 | America/Lima | populated place | ||
| 8664982 | Chilca Pampa | PE | Huancavelica | Provincia de Tayacaja | -12.11099 | -74.64231 | 0 | America/Lima | populated place | ||
| 3956750 | Chilarami | PE | Cusco | Provincia de Espinar | -14.84928 | -71.54495 | 0 | America/Lima | populated place | ||
| 3935106 | Mayo Tingo | Mayo Tingo,Mayo Tingo Hacienda | PE | ApurĂmac | Provincia de Cotabambas | -14.03333 | -72.16667 | 0 | America/Lima | populated place | |
| 3763250 | Vista Alegre | Vista Alegre | PE | San MartĂn | Provincia de Lamas | -6.51775 | -76.47009 | 0 | America/Lima | populated place | |
| 11514822 | Altamira | Altamira | PE | Madre de Dios | Provincia de TahuamanĂș | -10.96327 | -69.67005 | 0 | America/Lima | populated place | |
| 3695814 | Larrayan | Lairayan,Larrayan | PE | Piura | Provincia de Huancabamba | -5.156 | -79.64481 | 0 | America/Lima | populated place | |
| 6308362 | Chilcaragra | PE | ApurĂmac | Provincia de Andahuaylas | -13.69984 | -73.43432 | 0 | America/Lima | populated place | ||
| 3699753 | Alisopat | Aliso-Pata,Alisopat | PE | Cajamarca | San Marcos | -7.3 | -78 | 0 | America/Lima | populated place | |
| 3928606 | Simayacu | PE | Junin | Chanchamayo | -11.18333 | -75.2 | 0 | America/Lima | populated place | ||
| 3934724 | Mollecancha | Millucancha,Mollecancha | PE | Huancavelica | Huaytara | -13.97583 | -75.22056 | 96 | America/Lima | populated place | |
| 8662336 | Azul Mina | PE | Huancavelica | Provincia de Acobamba | -12.63325 | -74.75235 | 0 | America/Lima | populated place | ||
| 6310401 | Sancallcollo | PE | Puno | Provincia de Chucuito | -16.63334 | -69.29035 | 0 | America/Lima | populated place | ||
| 3953846 | Puna Pata | PE | Cusco | Provincia de Canas | -14.23641 | -71.38248 | 0 | America/Lima | populated place | ||
| 3927980 | RĂo Azupizu | Azupizu,Rio Azupizu,RĂo Azupizu,Tambo Azupiza,Tambo Azupizu | PE | Pasco | Provincia de Oxapampa | -10.65187 | -74.9436 | 0 | America/Lima | populated place | |
| 3929174 | Santa MarĂa | Santa Maria,Santa MarĂa | PE | Lima region | Huaura | -11.08667 | -77.58639 | 0 | America/Lima | populated place | |
| 6659379 | Luyando | PE | Huanuco | Provincia de Leoncio Prado | -9.19687 | -75.98053 | 0 | America/Lima | populated place | ||
| 8650316 | Huayllay | PE | Ayacucho | Provincia de Huanta | -12.82324 | -74.24461 | 345 | America/Lima | populated place | ||
| 3693923 | Papa-huasi | PE | Huanuco | Provincia de Dos de Mayo | -9.45 | -76.3 | 0 | America/Lima | populated place | ||
| 3957510 | La Falda | La Falda | PE | Ica | Provincia de Palpa | -14.53629 | -75.16858 | 124 | America/Lima | populated place | |
| 3939766 | Hualluma | PE | Puno | El Collao | -17.2695 | -69.7183 | 0 | America/Lima | populated place | ||
| 10453200 | Huaricocha | Huaricocha | PE | Ayacucho | Provincia de Lucanas | -14.69517 | -74.79837 | 0 | America/Lima | populated place | |
| 3953517 | Ttumi | PE | Cusco | Provincia de Acomayo | -14.12743 | -71.4972 | 0 | America/Lima | populated place | ||
| 3966268 | Paco Ampa | PE | Puno | Provincia de AzĂĄngaro | -14.48257 | -69.97573 | 0 | America/Lima | populated place | ||
| 8651558 | Viscacha | PE | Huancavelica | Provincia de Churcampa | -12.54525 | -74.47227 | 0 | America/Lima | populated place | ||
| 3762539 | Mesones Muro | PE | Cajamarca | Provincia de Jaén | -5.87446 | -78.78724 | 234 | America/Lima | populated place | ||
| 3951659 | Longerutaña | PE | Arequipa | Provincia de Caylloma | -15.53071 | -71.10829 | 0 | America/Lima | populated place | ||
| 3698668 | Castilla | Castilla | PE | Lambayeque | Provincia de Chiclayo | -6.86616 | -79.87633 | 81 | America/Lima | populated place | |
| 3752514 | Atocshayco | PE | Cajamarca | Provincia de Hualgayoc | -6.70758 | -78.43382 | 0 | America/Lima | populated place | ||
| 11558931 | Machiri | Machiri | PE | Puno | Provincia de Sandia | -13.802 | -69.74671 | 9 | America/Lima | populated place | |
| 6310538 | Alcamarineccucho | PE | Puno | Provincia de Chucuito | -16.53479 | -69.12614 | 0 | America/Lima | populated place | ||
| 6368307 | Lacrapara | PE | Ancash | Provincia de Santa | -8.76667 | -78.05389 | 9 | America/Lima | populated place | ||
| 3947395 | Araipallpa | Araipallpa,Araipallpa Pueblo,Araypallpa | PE | Cusco | Provincia de Paruro | -13.83372 | -71.83627 | 0 | America/Lima | populated place | |
| 11511472 | ChapulĂn | Chapulin,ChapulĂn | PE | Madre de Dios | Provincia de TahuamanĂș | -11.67755 | -69.22934 | 0 | America/Lima | populated place | |
| 3929170 | Santa MarĂa | PE | Arequipa | Provincia de Castilla | -15.83333 | -72.36667 | 0 | America/Lima | populated place | ||
| 3947292 | Armapuquio | PE | Junin | Provincia de JunĂn | -11.16667 | -76.08333 | 0 | America/Lima | populated place | ||
| 6671201 | Sillapampa | PE | Junin | Provincia de Yauli | -11.72091 | -75.77172 | 0 | America/Lima | populated place | ||
| 3960108 | Ccaccamarca | PE | Ica | Provincia de Ica | -14.04857 | -75.2608 | 0 | America/Lima | populated place | ||
| 3935417 | Manzanayoc | PE | ApurĂmac | Provincia de Andahuaylas | -13.9378 | -73.62305 | 0 | America/Lima | populated place |
Peru: Mapping the Geographic Complexity of a Land of Contrasts
A Country Carved by Mountains, Rainforests, and Coastlines
Peruâs geography is nothing short of breathtakingâa country where the towering peaks of the Andes contrast sharply with the dense Amazon rainforest and the arid Pacific coast. This diversity creates a spatial complexity that challenges geographers and planners alike. Peruâs cities and towns are dispersed across vastly different environments, each shaped by unique climatic, cultural, and economic factors.
To truly understand Peruâs geography, one must access detailed, structured data that links every city and town to its region and department, anchored by precise latitude and longitude coordinates.
Administrative Divisions: Regions and Departments
Peru is divided into 25 regions, each further subdivided into provinces and districts. These administrative layers are vital for governance, resource management, and regional planning. Cities and towns fit into this hierarchy, which guides everything from infrastructure development to cultural preservation.
The dataset I have created classifies every urban settlement by its official region and department, offering a clear and comprehensive spatial framework crucial for analysis and decision-making.
Latitude and Longitude: Pinpointing Peruâs Diverse Settlements
Given Peruâs varied landscapeâfrom coastal cities like Lima to mountain towns such as Cusco and Amazonian communities in Loretoâaccurate geographic coordinates are essential. This dataset provides verified latitude and longitude for every locality, enabling seamless integration into Geographic Information Systems (GIS), environmental monitoring, and transportation planning.
Such precision turns geographic names into actionable data points, supporting a multitude of practical applications.
Excel: Making Geographic Data Practical and Accessible
While available in CSV, SQL, JSON, and XML formats, the inclusion of Excel (.xlsx) greatly enhances the datasetâs usability. Excelâs intuitive interface allows a wide range of usersâfrom government officials to researchersâto easily filter, sort, and analyze the data without specialized software knowledge.
The Excel file is designed with clarity, consistent formatting, and logical organization, making it a practical tool for immediate use.
What the Dataset Includes
* Complete listing of Peruvian cities and towns
* Classification by region and department
* Verified latitude and longitude coordinates
* Available in Excel (.xlsx), CSV, SQL, JSON, and XML formats
Why Peru Needs Detailed Geographic Data
As Peru pursues sustainable development amidst environmental and social challenges, accurate geographic data becomes indispensable. Understanding where people live and how administrative boundaries are drawn is fundamental to effective governance and planning.
This dataset provides a robust foundation for addressing Peruâs spatial complexities with clarity and precision.
Mapping Peruâs Rich Geographic Tapestry
Peruâs geography is a vibrant mosaic of cultures, landscapes, and histories. Cities like Lima, Arequipa, and Iquitos are more than points on a mapâthey are living centers of Peruâs dynamic spatial identity.
With this dataset, especially through the user-friendly Excel format, Peruâs geography becomes a powerful resource for analysis, planning, and sustainable growth across this diverse nation.
