Peru GIS data
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uav imagery by Sencico, acquired 2025-07-12 to 2025-07-13, 4.6 cm per pixel, published on OpenAerialMap.
satellite imagery by CONIDA, acquired 2025-09-04 to 2025-09-04, 70.5 cm per pixel, published on OpenAerialMap.
satellite imagery by CONIDA, acquired 2025-09-04 to 2025-09-04, 70.5 cm per pixel, published on OpenAerialMap.
uav imagery by Sencico, acquired 2025-07-08 to 2025-07-09, 3.4 cm per pixel, published on OpenAerialMap.
Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Peru Country Boundary provides a 2021 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2021 boundaries are provided by Michael Bauer Research GmbH. These were published in October 2022. A new layer will be published in 18 months. Other administrative boundaries for this country are also available: Departamento Provincia Distrito
geoBoundaries ADM2 boundaries for Peru: 196 units, representing 2020. Source: Instituto Geográfico Nacional - IGN, OCHA ROLAC.
uav imagery by Sencico, acquired 2025-07-08 to 2025-07-09, 3.3 cm per pixel, published on OpenAerialMap.
satellite imagery by CONIDA, acquired 2025-09-04 to 2025-09-04, 70.5 cm per pixel, published on OpenAerialMap.
Sea ports, harbours and ferry terminals. Useful for maritime logistics, supply-chain analysis, and coastal access planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: industrial=port, harbour, port, amenity=ferry_terminal, building=ferry_terminal - Part of the country exports on HDX by HOT
Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Peru Distrito Boundaries provides a 2021 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2021 boundaries are provided by Michael Bauer Research GmbH. These were published in October 2022. A new layer will be published in 18 months. Other administrative boundaries for this country are also available: Country Departamento Provincia
Información de aspectos fisiográficos de Perú. Información Cartográfica Básica generalizada a partir de los archivos de Carta Nacional Escala 1/100 000. Con períodos de actualización diferentes.
Información de aspectos culturales de Perú. Información Cartográfica Básica generalizada a partir de los archivos de Carta Nacional Escala 1/100 000. Con períodos de actualización diferentes.
Información de aspectos industriales de Perú. Información Cartográfica Básica generalizada a partir de los archivos de Carta Nacional Escala 1/100 000. Con períodos de actualización diferentes.
Información de toponimos de Perú. Información Cartográfica Básica generalizada a partír de los archivos de Carta Nacional Escala 1/100 000. Con períodos de actualización diferentes.
Información de trasporte y comunicaciones en Perú. Información Cartográfica Básica generalizada a partir de los archivos de Carta Nacional Escala 1/100 000. Con períodos de actualización diferentes.
Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.
Información hidrográfica de Perú. Información Cartográfica Básica generalizada a partir de los archivos de Carta Nacional Escala 1/100 000. Con períodos de actualización diferentes.
Information collected from the Supervisory Agency for Private Investment in Telecommunications - OSIPTEL.
Information collected from the Supervisory Agency for Private Investment in Telecommunications - OSIPTEL.
Information collected from the Ministry of Transport and Communications
Information on cases of domestic violence of the women's emergency center (CEM) by districts
Information on cases of sexual violence from the women's emergency center (CEM) by districts
Information about educational achievement
Information about COVID19 deaths registered in the National Death Information System
Through the tripadvisor platform, information about establishments of tourist attractions until 2021 for the city of Cusco was obtained.
Through the tripadvisor platform, information about hotels establishments until 2021 for the city of Cusco was obtained.
Through the tripadvisor platform, information about restaurants establishments until 2021 for the city of Cusco was obtained.
**UNOSAT code EQ20230321PER, GDACS Id: 1365556** This map illustrates satellite-detected water using Sentinel-2 acquired on 22 March 2023, 10:36 local time over Lambayeque and Piura Provinces, Peru. Within the cloud free analyzed areas of about 16,000 km², a total of about 1,000 km² of lands appear to be affected with flood waters. Based on Worldpop population data and flood water extent, ~13,500 people in Lambayeque district are potentially exposed or living close to flooded areas and ~6,300 people in Lambayeque district. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
**UNOSAT code FL20230321PER, GDACS Id: 1365556** This map illustrates satellite-detected water using Sentinel-2 acquired on 1 April 2023, 10:36 local time over Lambayeque and Piura Provinces, Peru. Within the cloud free analyzed areas of about 13,000 km², a total of about 1,000 km² of lands appear to be affected with flood waters. Based on Worldpop population data and the flood water extent, ~13,000 people are potentially exposed or living close to flooded areas mainly located in District of Piura with ~3,800 people, Piura District with ~3,800 people, Sechura with ~3,800 people, and Lambayeque ~3,600 people This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
**UNOSAT code FL20230321PER, GDACS Id: 1365556** This map illustrates satellite-detected water using Sentinel-2 acquired on 30 March 2023, 10:52 local time over Tumbes and Zarumilla Districts, Tumbes Province, Peru. Within the cloud free analyzed areas of about 900 km², a total of about 11 km² of lands appear to be affected with flood waters. Based on Worldpop population data and the flood water extent, ~2,400 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes: - macroregion (admin-1 including region) - region (admin-2 including state, province, department, governorate) - macrocounty (admin-3 including arrondissement) - county (admin-4 including prefecture, sub-prefecture, regency, canton, commune) - localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb) The dataset also contains human settlement points and polygons for: - localities (city, town, and village) - neighbourhoods (borough, macrohood, neighbourhood, microhood) The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the README.md file for complete data source metadata. Refer to our blog post for explanation of field names. Data corrections can be proposed using Write Field, an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.
**ADAM ID: **sm\_us7000qazs Magnitude 5.4 earthquake at 10.0 depth occurred on Jul 06 2025 27km SE of Santa Maria De Cahuapanas. The epicentre of the earthquake was located at latitude -5.4814 longitude -76.9633. It impacted 26949 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.
**ADAM ID: **sm\_us6000qkg7 Magnitude 5.6 earthquake at 53.485 depth occurred on Jun 15 2025 13km SW of Callao Island. The epicentre of the earthquake was located at latitude -12.1473 longitude -77.3152. It impacted 8717837 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.