Vanuatu GIS data

**UNOSAT code: TC20200403VUT** This map illustrates potentially damaged structures and buildings in Luganville Municipality, Sanma Province, Vanuatu as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 6 April 2020. UNITAR-UNOSAT analysis used a Pleiades image acquired on 7 April 2020 as post event image. Within the Luganville Municipality boundary, UNITAR-UNOSAT identified in the cloud free zones 1,972 potentially damaged structures. Taking into account the pre-building footprints provided by OpenStreetMap, this represents about 35 % of the total number of structures within the analyzed cloud free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

**UNOSAT code: TC20200403VUT** This map illustrates potentially damaged structures and buildings in south of Sanma Province, Vanuatu as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 6 April 2020. UNITAR-UNOSAT analysis identified about 5,200 potentially damaged structures in the analysis extent across the south of Sanma province within the cloud free areas. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 33% of the total number of structures/buildings within the analyzed cloud free areas. Please note that some areas could not be analyzed due to the cloud cover. Total and final estimates by municipality are summarized in the table below. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

**UNOSAT code: TC20200403VUT** This map illustrates potentially damaged structures and buildings in Canal-Fanafo, Luganville and South East Santo Municipality, Sanma Province, Vanuatu as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 6 April 2020. UNITAR-UNOSAT analysis used a Pleiades image acquired on 7, 8 and 9 April 2020 as post event images, Within the analysis extent, UNITAR-UNOSAT identified in the cloud free zones 3,490 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 35 % of the total number of structures within the analyzed cloud free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

**UNOSAT code: TC20200403VUT** This map illustrates potentially damaged structures and buildings in West Santo and South Santo Municipality, Sanma Province, Vanuatu as detected using WorldView-2 satellite images acquired on 17 and 19 April 2020 and a Pleiades satellite image acquired on 27 April 2020. Within the analyzed zone, UNITAR-UNOSAT identified in the cloud-free zones about 3,650 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 63 % of the total number of structures within the analyzed cloud-free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

**UNOSAT code: TC20200403VUT** This map illustrates potentially damaged structures and buildings in Meawo Island, Penama Province, Vanuatu as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 6 April 2020. UNITAR-UNOSAT analysis used a Pleiades image acquired on 21 and 27 April 2020 as post event images, Within the island boundary, UNITAR-UNOSAT identified in the cloud free zones about 20 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 2% of the total number of structures within the analyzed cloud free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

**UNOSAT code: TC20200403VUT** This map illustrates potentially damaged structures and buildings in Malampa Province, Vanuatu as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 6 April 2020. UNITAR-UNOSAT analysis used a Pleiades image acquired on 7, 8 and 9 April 2020 as post event images. Within the analysis extent, UNITAR-UNOSAT identified in the cloud free zones 25 potentially damaged structures. Taking into account the pre-building footprints provided by OpenStreetMap, this represents less than 1 % of the total number of structures within the analyzed cloud-free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

An index to target those in poverty and affected by cyclone Pam. Methodology and contact available on tab in spreadsheet.

**UNOSAT code: EQ20241217VUT, GDACS ID: 1458084** This map illustrates the potentially damaged structures/buildings and landslide extents resulting from the earthquake on December 17, 2024, in Vanuatu, as detected from a WorldView-2 very high-resolution satellite image acquired on December 20, 2024, at 09:46 local time. Within the analyzed area of approximately 3,000 hectares, UNOSAT identified 6 potentially damaged structures and 20 hectares of land affected by landslides. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

**ADAM ID: **sm\_us6000r30q Magnitude 5.4 earthquake at 226.917 depth occurred on Aug 22 2025 15km E of Forari. The epicentre of the earthquake was located at latitude -17.6647 longitude 168.6688. It impacted 96999 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\_us7000pyn1 Magnitude 5.9 earthquake at 62.531 depth occurred on May 11 2025 8km NW of Port Vila. The epicentre of the earthquake was located at latitude -17.6762 longitude 168.2823. It impacted 1986 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\_us7000pxj7 Magnitude 5.5 earthquake at 109.388 depth occurred on May 06 2025 51km S of Lénakel. The epicentre of the earthquake was located at latitude -19.9786 longitude 169.3572. It impacted 9725 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\_us7000pua3 Magnitude 5.7 earthquake at 200.208 depth occurred on Apr 22 2025 51km NW of Ureparapara Island. The epicentre of the earthquake was located at latitude -13.1186 longitude 167.1245. It impacted 119 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\_us7000pcjx Magnitude 5.9 earthquake at 19.149 depth occurred on Feb 10 2025 68km NW of Pango. The epicentre of the earthquake was located at latitude -17.5082 longitude 167.7436. It impacted 36 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\_us6000synm Magnitude 5.8 earthquake at 37.376 depth occurred on May 19 2026 45km SW of Pango. The epicentre of the earthquake was located at latitude -18.1598 longitude 168.1719. It impacted 31160 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\_us6000si17 Magnitude 5.8 earthquake at 10.0 depth occurred on Mar 21 2026 51km W of Horrok. The epicentre of the earthquake was located at latitude -16.1029 longitude 166.8313. It impacted 3673 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\_us7000rkfp Magnitude 5.6 earthquake at 170.96 depth occurred on Dec 23 2025 61km SW of Gaua Island. The epicentre of the earthquake was located at latitude -14.7032 longitude 167.1651. It impacted 2852 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\_us6000rt4z Magnitude 5.4 earthquake at 10.0 depth occurred on Dec 07 2025 4km NE of Olpoi. The epicentre of the earthquake was located at latitude -14.8528 longitude 166.5885. It impacted 2292 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\_us6000rfhk Magnitude 5.7 earthquake at 35.0 depth occurred on Oct 07 2025 3km W of Bwatnapne. The epicentre of the earthquake was located at latitude -15.6589 longitude 168.0918. It impacted 16159 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\_us6000rdan Magnitude 5.5 earthquake at 70.085 depth occurred on Sep 27 2025 41km S of Liteu. The epicentre of the earthquake was located at latitude -13.7968 longitude 166.6671. It impacted 434 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: **1001259\_7 Category 1 during the period Feb 26 2026-Feb 28 2026 in Vanuatu. The center of the storm was located near latitude -20.8 longitude 171.7. 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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A cyclone (tropical storm) during the period Feb 27 2023-Mar 03 2023 in Vanuatu. It impacted 190950 people.

**ADAM ID: 1000966\_3** Cyclone (category 2) during the period Mar 01 2023-Mar 05 2023 in Vanuatu. It impacted 142418 people.

**ADAM ID: 1001027\_8** Cyclone (tropical depression) during the period Oct 21 2023-Oct 26 2023 in Vanuatu, Solomon Islands. It impacted 49248 people.

Vanuatu administrative level 0-2 boundaries (COD-AB) dataset version 01. This dataset is structured into 2 levels: - Admin 1: 6 - Admin 2: 66 Dates associated with this dataset: - 31 October 2024: dataset reviewed for accuracy and completeness - 24 August 2018: valid for use by the humanitarian community - 31 October 2017: last edit to the dataset before publishing - 31 October 2017: boundaries created by the source Contributed by OCHA Office of the Pacific Islands. Quality assured, configured, and published by OCHA Field Information Services (FIS) and HDX. Part of the dataset: Global Subnational Administrative Boundaries

**ADAM ID: **sm\_us7000tdr1 Magnitude 5.4 earthquake at 98.098 depth occurred on Sep 02 2026 52km W of Anelgaohat. The epicentre of the earthquake was located at latitude -20.2919 longitude 169.319. It impacted 105 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\_us7000tek0 Magnitude 5.6 earthquake at 10.0 depth occurred on Sep 05 2026 33km S of Ibau. The epicentre of the earthquake was located at latitude -19.807 longitude 170.1576. It impacted 564 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\_us6000u15x Magnitude 5.4 earthquake at 10.0 depth occurred on Oct 09 2026 2km N of Loltong. The epicentre of the earthquake was located at latitude -15.5361 longitude 168.1451. It impacted 16716 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.

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['railway'] IN ('rail','station') Features may have these attributes: - name - name:en - railway - ele - operator:type - layer - addr:full - addr:city - source - name:fr - name:bis This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

This vector dataset represents suitable areas for offshore mariculture of Skipjack, Yellowfin and Bigeye Tuna in Vanuatu, produced under the scope of the Hand-in-Hand initiative in 2023, using publicly accessible data. The geospatial analysis adopts Kapetsky and Aguilar-Manjarrez study (Kapetsky et al., 2013(*)) methodology, where suitability is estimated based on the assumptions: 1. Activity develops within the exclusive economic zones (EEZs). 2. Uses cages for fish. 3. Employs species with proven mariculture technologies and established markets or identified as having good prospects for future development. Analytical criteria and thresholds are defined based on technical limits on cages, cost-effective farming, and species habitat: 1. Depths (25–100 m). 2. Current speeds (10–100 cm/s). 3. Cost limits on distance from shore to offshore installations (25 nm (46.3 km)). 4. Reliable access to a port. 5. Habitat Skipjack, Yellowfin and Bigeye Tuna. (*) Kapetsky, J. M., Aguilar-Majarrez, J., & Jenness, J. (2013). A global assessment of offshore mariculture potential from a spatial perspective. In FAO Fisheries and Aquaculture Technical Paper (Issue No. 549, pp. 0–181). Food and Agriculture Organization of the United Nations. **Data creation:** 2023-04-25 **Contact points:** Metadata Contact: [FAO-Data](mailto:FAO-data@fao.org) **Data lineage:** lineage source statement The assessment analysis is developed using publicly accessible data. FAO Map Catalogue data 1. FAO aquatic species distribution map of Skipjack tuna (Katsuwonus pelamis 2. FAO aquatic species distribution map of Yellowfin tuna (Thunnus albacares 3. FAO aquatic species distribution map of Thunnus obesus (Bigeye tuna 3. Regions with HYCOM current speeds at 30m depth between 1 - 10, 10 - 100 and > 100 cm/s for all months in the year - Based on HYCOM NCODA (HYbrid Coordinate Ocean Model (HYCOM) and Navy Coupled Ocean Data Assimilation (NCODA)) 8.9 km 2004-2008 4. Sea Ports 5. EEZ - VLIZ Flanders Maritime Institute - Maritime boundaries geodatabase version 5 (2009 6. Bathymetry – GEBCO – General Bathymetric Chart of the oceans - Gridded bathymetric data sets are global terrain models for the ocean and land 2021 **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0). **Online resources:** Download documentation working paper/report on offshore mariculture suitability geospatial analysis Cabo Verde (Reference) Download skipjack, yellowfin, and bigeye tuna offshore mariculture suitability data for Vanuatu.

This vector dataset represents suitable areas for offshore mariculture of Thunnus alalunga (Albacore) in Vanuatu, produced under the scope of the Hand-in-Hand initiative in 2023, using publicly accessible data. The geospatial analysis adopts Kapetsky and Aguilar-Manjarrez study (Kapetsky et al., 2013(*)) methodology, where suitability is estimated based on the assumptions: 1. Activity develops within the exclusive economic zones (EEZs). 2. Uses cages for fish. 3. Employs species with proven mariculture technologies and established markets or identified as having good prospects for future development. Analytical criteria and thresholds are defined based on technical limits on cages, cost-effective farming, and species habitat: 1. Depths (25–100 m). 2. Current speeds (10–100 cm/s). 3. Cost limits on distance from shore to offshore installations (25 nm (46.3 km)). 4. Reliable access to a port. 5. Habitat Thunnus alalunga (Albacore). (*) Kapetsky, J. M., Aguilar-Majarrez, J., & Jenness, J. (2013). A global assessment of offshore mariculture potential from a spatial perspective. In FAO Fisheries and Aquaculture Technical Paper (Issue No. 549, pp. 0–181). Food and Agriculture Organization of the United Nations. **Data creation:** 2023-04-25 **Contact points:** Metadata Contact: [FAO-Data](mailto:FAO-data@fao.org) **Data lineage:** lineage statement The assessment analysis is developed using publicly accessible data. FAO Map Catalogue data 1. FAO aquatic species distribution map of Thunnus alalunga (Albacore 2. Regions with HYCOM current speeds at 30m depth between 1 - 10, 10 - 100 and > 100 cm/s for all months in the year - Based on HYCOM NCODA (HYbrid Coordinate Ocean Model (HYCOM) and Navy Coupled Ocean Data Assimilation (NCODA)) 8.9 km 2004-2008 3. Sea Ports 4. EEZ - VLIZ Flanders Maritime Institute - Maritime boundaries geodatabase version 5 (2009 5. Bathymetry – GEBCO – General Bathymetric Chart of the oceans - Gridded bathymetric data sets are global terrain models for the ocean and land 2021 **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0). **Online resources:** Download documentation working paper/report on offshore mariculture suitability geospatial analysis Cabo Verde (Reference) Download Thunnus alalunga (Albacore) offshore mariculture suitability for - Vanuatu

This vector dataset represents suitable areas for offshore mariculture of Cobia in Vanuatu, produced under the scope of the Hand-in-Hand initiative in 2023, using publicly accessible data. The geospatial analysis adopts Kapetsky and Aguilar-Manjarrez study (Kapetsky et al., 2013(*)) methodology, where suitability is estimated based on the assumptions: 1. Activity develops within the exclusive economic zones (EEZs). 2. Uses cages for fish. 3. Employs species with proven mariculture technologies and established markets or identified as having good prospects for future development. Analytical criteria and thresholds are defined based on technical limits on cages, cost-effective farming, and species habitat: 1. Depths (25–100 m). 2. Current speeds (10–100 cm/s). 3. Cost limits on distance from shore to offshore installations (25 nm (46.3 km)). 4. Reliable access to a port. 5. Habitat of Cobia (rachycentron canadum). (*) Kapetsky, J. M., Aguilar-Majarrez, J., & Jenness, J. (2013). A global assessment of offshore mariculture potential from a spatial perspective. In FAO Fisheries and Aquaculture Technical Paper (Issue No. 549, pp. 0–181). Food and Agriculture Organization of the United Nations. **Data creation:** 2023-04-25 **Contact points:** Metadata Contact: [FAO-Data](mailto:FAO-data@fao.org) **Data lineage:** lineage source statement The assessment analysis is developed using publicly accessible data. FAO Map Catalogue data 1. FAO aquatic species distribution map of Skipjack tuna (Katsuwonus pelamis 2. FAO aquatic species distribution map of Yellowfin tuna (Thunnus albacares 3. FAO aquatic species distribution map of Thunnus obesus (Bigeye tuna 3. Regions with HYCOM current speeds at 30m depth between 1 - 10, 10 - 100 and > 100 cm/s for all months in the year - Based on HYCOM NCODA (HYbrid Coordinate Ocean Model (HYCOM) and Navy Coupled Ocean Data Assimilation (NCODA)) 8.9 km 2004-2008 4. Sea Ports 5. EEZ - VLIZ Flanders Maritime Institute - Maritime boundaries geodatabase version 5 (2009 6. Bathymetry – GEBCO – General Bathymetric Chart of the oceans - Gridded bathymetric data sets are global terrain models for the ocean and land 2021 **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0). **Online resources:** Download Tropical/Subtropical Waters Species (Cobia) offshore mariculture suitability data for Vanuatu.