Guatemala GIS data
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This map illustrates an estimation of the number of buildings potentially affected by pyroclastic flow detected by Copernicus EMS using a Sentinel-2 satellite image collected on 4 June 2018. UNITAR-UNOSAT estimates 411 buildings / structures within the pyroclastic flow, ~ 260 of which are located inside the community of San Miguel de Los Lotes. Industrial sites and the resort of La Reunion are also included in the extent of this pyroclastic flow. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
This map illustrates satellite-detected surface water extent in the northern part of Guatemala covering Chisec, Coban Ixcan and Sayaxche municipalities, using a Sentinel-1 satellite image acquired on the 09 October 2017. Sentinel-1 imagery acquired on 3 and 5 October 2017 was used as pre crisis imagery. UNITAR-UNOSAT analysis shows an expansion of water of ~ 4,600 has over the analyzed municipalities, being Sayaxche the municipality that was affected the most with an expansion of flood waters of ~ 3,200 Ha. The exact limit of flood waters is uncertain because of the low spatial resolution of the satellite data used for this analysis. Please send ground feedback to UNITAR - UNOSAT.
Guatemala Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2020
Guatemala Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2022
Southern Guatemala: AI predictions of building footprint on Bing Maps images (approximately 2016-2019), see https://github.com/rodekruis/automated-building-detection. Produced in support to DRRT Guatemala for hurricane Eta and Iota. Coordinate reference system: WGS 84 / EPSG:4326
**UNOSAT code: TC20201119GTM** This map illustrates satellite-detected surface waters in Peten, Alta Verapaz and Quiche departments of Guatemala & Chiapas state of Mexico as observed from a Sentinel-1 image acquired on 22 November 2020 at 05:53 Local time. Within the analyzed area of about 10,000 km2, a total of about 380 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 24,000 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 UNITAR-UNOSAT. Important Note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
**ADAM ID: **sm\_us7000qbfv Magnitude 5.6 earthquake at 10.0 depth occurred on Jul 08 2025 5km SW of Villa Nueva City. The epicentre of the earthquake was located at latitude 14.4995 longitude -90.6206. It impacted 1350834 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\_us7000pbfb Magnitude 5.6 earthquake at 57.548 depth occurred on Feb 05 2025 64km SE of Champerico. The epicentre of the earthquake was located at latitude 13.8202 longitude -91.5748. It impacted 101690 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\_us7000rehl Magnitude 5.8 earthquake at 148.223 depth occurred on Nov 28 2025 55km NE of Tapachula. The epicentre of the earthquake was located at latitude 15.3705 longitude -92.0886. It impacted 983660 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.
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**UNOSAT code: TC20201119GTM** This map illustrates satellite-detected surface waters in Alta Verapaz, Izabal and Zacapa departments of Guatemala as observed from a Sentinel-1 image acquired on 18 November 2020 at 18:06 local time. Within the analyzed area of about 15,000 km2, a total of about 170 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 17,500 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 UNITAR-UNOSAT. Important Note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
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The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Guatemala Medium Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2014
**UNOSAT code: TC20201119GTM** This map illustrates satellite-detected surface waters in Izabal department of Guatemala as observed from a Sentinel-1 image acquired on 23 November 2020 at 05:45 Local time. Within the analyzed area of about 6,000 km2, a total of about 150 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 8,600 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 UNITAR-UNOSAT. Important Note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
Guatemala Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2021
Guatemala Near Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2020
The raster dataset represents top location score areas suitable for banana storage, filtered by exclusive criteria: access to finance, distance to major roads, and access to IT (mobile broadband connection). Access to finance and roads are defined using a linear distance threshold: • Banks - approx. 10km buffer radius. • Major roads - approx. 2km buffer radius. • Access to IT is characterized by applying the mobile broadband coverage map. The score is achieved by processing sub-model outputs that characterize production, logistical, and socio-economic factors. The location score from 0 to 100 is then obtained through a simple arithmetic weighted sum of the normalized/scaled grids. This 500m resolution raster dataset is part of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis (GIS-MCDA) aimed at the identification of value chain infrastructure sites (optimal location). **Data publication:** 2022-11-25 **Contact points:** Resource Contact: [FAO-Data](mailto:fao-data@fao.org) Maintainer: [Justeen De Ocampo](mailto:justeen.deocampo@fao.org) **Data lineage:** lineage statement Major data sources, FAO GIS platform Hand-in-Hand and OpenStreetMap (open data) including the following datasets 1. Human Population Density 2020 – WorldPop2020 - Estimated total number of people per grid-cell 1km. 2. Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates crop distribution within disaggregated units. 3. OpenStreetMap. 4. Poverty – Study by Figueroa, W., Marsicovetere, P., & Peñate, M. (2020) based on the results of the XII National Population Census and VII Housing Census of 2018. 5. Mobile Broadband Coverage produced based on: Coverage Data © Collins Bartholomew and GSMA 2021. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Zipped raster TIF file for Crop Storage Final Location: Bananas (Guatemala - ~ 500 m)
The raster dataset represents top location score areas suitable for coffee storage, filtered by exclusive criteria: access to finance, distance to major roads, and access to IT (mobile broadband connection). Access to finance and roads are defined using a linear distance threshold: • Banks - approx. 10km buffer radius. • Major roads - approx. 2km buffer radius. • Access to IT is characterized by applying the mobile broadband coverage map. The score is achieved by processing sub-model outputs that characterize production, logistical, and socio-economic factors. The location score from 0 to 100 is then obtained through a simple arithmetic weighted sum of the normalized/scaled grids. This 500m resolution raster dataset is part of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis (GIS-MCDA) aimed at the identification of value chain infrastructure sites (optimal location). **Data publication:** 2022-11-25 **Contact points:** Resource Contact: [FAO-Data](mailto:fao-data@fao.org) Maintainer: [Justeen De Ocampo](mailto:justeen.deocampo@fao.org) **Data lineage:** lineage statement Major data sources, FAO GIS platform Hand-in-Hand and OpenStreetMap (open data) including the following datasets 1. Human Population Density 2020 – WorldPop2020 - Estimated total number of people per grid-cell 1km. 2. Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates crop distribution within disaggregated units. 3. OpenStreetMap. 4. Poverty – Study by Figueroa, W., Marsicovetere, P., & Peñate, M. (2020) based on the results of the XII National Population Census and VII Housing Census of 2018. 5. Mobile Broadband Coverage produced based on: Coverage Data © Collins Bartholomew and GSMA 2021. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Zipped raster TIF file for Crop Storage Final Location: Coffee (Guatemala - ~ 500 m)
The raster dataset represents top location score areas suitable for maize storage, filtered by exclusive criteria: access to finance, distance to major roads, and access to IT (mobile broadband connection). Access to finance and roads are defined using a linear distance threshold: • Banks - approx. 10km buffer radius. • Major roads - approx. 2km buffer radius. • Access to IT is characterized by applying the mobile broadband coverage map. The score is achieved by processing sub-model outputs that characterize production, logistical, and socio-economic factors. The location score from 0 to 100 is then obtained through a simple arithmetic weighted sum of the normalized/scaled grids. This 500m resolution raster dataset is part of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis (GIS-MCDA) aimed at the identification of value chain infrastructure sites (optimal location). **Data publication:** 2022-11-25 **Contact points:** Resource Contact: [FAO-Data](mailto:fao-data@fao.org) Maintainer: [Justeen De Ocampo](mailto:justeen.deocampo@fao.org) **Data lineage:** lineage statement Major data sources, FAO GIS platform Hand-in-Hand and OpenStreetMap (open data) including the following datasets 1. Human Population Density 2020 – WorldPop2020 - Estimated total number of people per grid-cell 1km. 2. Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates crop distribution within disaggregated units. 3. OpenStreetMap. 4. Poverty – Study by Figueroa, W., Marsicovetere, P., & Peñate, M. (2020) based on the results of the XII National Population Census and VII Housing Census of 2018. 5. Mobile Broadband Coverage produced based on: Coverage Data © Collins Bartholomew and GSMA 2021. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Zipped raster TIF file for Crop Storage Final Location: Maize (Guatemala - ~ 500 m)
The 500 m raster dataset represents selected top location score areas filtered by exclusive criteria: access to finance, distance to major roads, access to IT, and distance to urban areas. The layer was produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location. The score is achieved by processing sub-model outputs that characterize production, logistical, and socio-economic factors. The top score is selected/clipped using the exclusive criteria. Access to finance, distance to roads, and urban areas are defined using a linear distance threshold: • Banks - approx. 10km buffer radius. • Major roads - approx. 2km buffer radius. Access to IT is characterized by applying the mobile broadband coverage map. **Data publication:** 2022-11-25 **Contact points:** Resource Contact: [FAO-Data](mailto:fao-data@fao.org) Maintainer: [Justeen De Ocampo](mailto:justeen.deocampo@fao.org) **Data lineage:** lineage statement Major data sources, FAO GIS platform Hand-in-Hand and OpenStreetMap (open data) including the following datasets 1. GLW Gridded Livestock of the World - Gridded Livestock of the World (GLW 3 and GLW 2). 2. OpenStreetMap. 3. Mobile Broadband Coverage produced based on: Coverage Data © Collins Bartholomew and GSMA 2021. 4. Poverty – Study by Figueroa, W., Marsicovetere, P., & Peñate, M. (2020) based on the results of the XII National Population Census and VII Housing Census of 2018. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Zipped raster TIF file for Dairy Processing Final Location: Cattle (Guatemala - ~ 500 m)
The raster dataset represents top location score areas suitable for sugar cane storage, filtered by exclusive criteria: access to finance, distance to major roads, and access to IT (mobile broadband connection). Access to finance and roads are defined using a linear distance threshold: • Banks - approx. 10km buffer radius. • Major roads - approx. 2km buffer radius. • Access to IT is characterized by applying the mobile broadband coverage map. The score is achieved by processing sub-model outputs that characterize production, logistical, and socio-economic factors. The location score from 0 to 100 is then obtained through a simple arithmetic weighted sum of the normalized/scaled grids. This 500m resolution raster dataset is part of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis (GIS-MCDA) aimed at the identification of value chain infrastructure sites (optimal location). **Data publication:** 2022-11-25 **Contact points:** Resource Contact: [FAO-Data](mailto:fao-data@fao.org) Maintainer: [Justeen De Ocampo](mailto:justeen.deocampo@fao.org) **Data lineage:** lineage statement lineage statement Major data sources, FAO GIS platform Hand-in-Hand and OpenStreetMap (open data) including the following datasets 1. Human Population Density 2020 – WorldPop2020 - Estimated total number of people per grid-cell 1km. 2. Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates crop distribution within disaggregated units. 3. OpenStreetMap. 4. Poverty – Study by Figueroa, W., Marsicovetere, P., & Peñate, M. (2020) based on the results of the XII National Population Census and VII Housing Census of 2018. 5. Mobile Broadband Coverage produced based on: Coverage Data © Collins Bartholomew and GSMA 2021. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0). **Online resources:** Zipped raster TIF file for Crop Storage Final Location: Sugar Cane (Guatemala - ~ 500 m)
A gridded raster of population distribution for Guatemala, with cell values representing population counts. Published by WorldPop (University of Southampton), it covers the year 2030.
**ADAM ID: **sm\_us6000qw5x Magnitude 5.4 earthquake at 10.0 depth occurred on Jul 29 2025 18km SE of Jutiapa. The epicentre of the earthquake was located at latitude 14.1377 longitude -89.8349. It impacted 1082339 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.
A gridded raster of population distribution for Guatemala, with cell values representing population counts. It covers the year 2030 and is published by WorldPop (University of Southampton).
**ADAM ID: **sm\_us6000qw58 Magnitude 5.6 earthquake at 7.746 depth occurred on Jul 29 2025 14km N of Atiquizaya. The epicentre of the earthquake was located at latitude 14.0992 longitude -89.7829. It impacted 986922 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.