Guernsey Humanitarian Data | Crisis Response Datasets

HDX HAPI Data for Guernsey

Time Period of the Dataset [?]: January 01, 2020-March 31, 2025 ... More

This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.

30+ Downloads

This dataset updates: Every day

CSV

HDX HAPI - Metadata: Data Availability

HDX Humanitarian API Data

Time Period of the Dataset [?]: April 24, 2025-April 24, 2025 ... More

This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.

300+ Downloads

This dataset updates: Every day

CSV

Bailiwick of Guernsey - Conflict Events

Armed Conflict Location & Event Data Project (ACLED)

Time Period of the Dataset [?]: January 01, 2020-April 18, 2025 ... More

A weekly dataset providing the total number of reported political violence, civilian-targeting, and demonstration events in Bailiwick of Guernsey. Note: These are aggregated data files organized by country-year and country-month. To access full event data, please register to use the Data Export Tool and API on the ACLED website.

500+ Downloads

This dataset updates: Every week

This dataset is part of the data series [?]: ACLED - Conflict Events

XLSX

Current IATI aid activities in Guernsey

International Aid Transparency Initiative

Time Period of the Dataset [?]: January 01, 2019-January 01, 2020 ... More

Live list of active aid activities for Guernsey shared via the International Aid Transparency Initiative (IATI). Includes both humanitarian and development activities. More information on each activity (including financial data) is available from http://www.d-portal.org

This dataset updates: Live

CSV

Guernsey Healthsites

Global Healthsites Mapping Project

Time Period of the Dataset [?]: September 25, 2017-March 16, 2025 ... More

This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long

300+ Downloads

This dataset updates: Every three months

This dataset is part of the data series [?]: Global Healthsites Mapping Project - Healthsites

Guernsey Health Facilities (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: April 01, 2025-April 01, 2025 ... More

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['healthcare'] IS NOT NULL OR tags['amenity'] IN ('doctors', 'dentist', 'clinic', 'hospital', 'pharmacy') Features may have these attributes: name name:en amenity building healthcare healthcare:speciality operator:type capacity:persons addr:full addr:city source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Health Facilities

Guernsey Populated Places (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: April 01, 2025-April 01, 2025 ... More

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['place'] IN ('isolated_dwelling', 'town', 'village', 'hamlet', 'city') OR tags['landuse'] IN ('residential') Features may have these attributes: name name:en place landuse population is_in source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM Populated Places

Guernsey Railways (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: April 01, 2025-April 01, 2025 ... More

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 This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Railways

Guernsey Financial Services (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: April 01, 2025-April 01, 2025 ... More

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['amenity'] IN ('mobile_money_agent','bureau_de_change','bank','microfinance','atm','sacco','money_transfer','post_office') Features may have these attributes: name name:en amenity operator network addr:full addr:city source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Financial Services

Guernsey Buildings (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: April 01, 2025-April 01, 2025 ... More

OpenStreetMap contains roughly 12.9 thousand buildings in this region. Based on AI-mapped estimates, this is approximately 100% of the total buildings.The average age of data for this region is 3 years ( Last edited a month ago ) and 1% buildings were added or updated in the last 6 months. Read about what this summary means : indicators , metrics This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['building'] IS NOT NULL Features may have these attributes: name name:en building building:levels building:materials addr:full addr:housenumber addr:street addr:city office source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Buildings

Guernsey Sea Ports (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: April 01, 2025-April 01, 2025 ... More

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['amenity'] = 'ferry_terminal' OR tags['building'] = 'ferry_terminal' OR tags['port'] IS NOT NULL Features may have these attributes: name name:en amenity building port operator:type addr:full addr:city source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Sea Ports

Guernsey Education Facilities (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: April 01, 2025-April 01, 2025 ... More

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['amenity'] IN ('kindergarten', 'school', 'college', 'university') OR tags['building'] IN ('kindergarten', 'school', 'college', 'university') Features may have these attributes: name name:en amenity building operator:type capacity:persons addr:full addr:city source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Education Facilities

Guernsey Airports (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: April 01, 2025-April 01, 2025 ... More

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['aeroway'] IS NOT NULL OR tags['building'] = 'aerodrome' OR tags['emergency:helipad'] IS NOT NULL OR tags['emergency'] = 'landing_site' Features may have these attributes: name name:en aeroway building emergency emergency:helipad operator:type capacity:persons addr:full addr:city source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Airports

Guernsey Roads (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: April 01, 2025-April 01, 2025 ... More

OpenStreetMap contains roughly 975 km of roads in this region. Based on AI-mapped estimates, this is approximately 96 % of the total road length in the dataset region. The average age of data for the region is 3 years ( Last edited a month ago ) and 2% of roads were added or updated in the last 6 months. Read about what this summary means : indicators , metrics This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['highway'] IS NOT NULL Features may have these attributes: name name:en highway surface smoothness width lanes oneway bridge layer source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Roads

Guernsey Waterways (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: April 01, 2025-April 01, 2025 ... More

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['waterway'] IS NOT NULL OR tags['water'] IS NOT NULL OR tags['natural'] IN ('water','wetland','bay') Features may have these attributes: name name:en waterway covered width depth layer blockage tunnel natural water source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Waterways

Guernsey Points of Interest (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: April 01, 2025-April 01, 2025 ... More

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['amenity'] IS NOT NULL OR tags['man_made'] IS NOT NULL OR tags['shop'] IS NOT NULL OR tags['tourism'] IS NOT NULL Features may have these attributes: name name:en amenity man_made shop tourism opening_hours beds rooms addr:full addr:housenumber addr:street addr:city source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Points of Interest

Movement Distribution

Data for Good at Meta

Time Period of the Dataset [?]: December 01, 2022-February 28, 2025 ... More

The Movement Distribution dataset shows the range of movement of people away from the area where they live on a daily basis. These maps are useful for projects focused on transportation, tourism, displacement, and other areas. More info available here: https://dataforgood.facebook.com/dfg/tools/movement-distribution-maps

5800+ Downloads

This dataset updates: Every month

CSV
PDF

Guernsey - Age and Sex Structures (2015-2030)

WorldPop

Time Period of the Dataset [?]: January 01, 2015-December 31, 2030 ... More

Constrained estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 90+) for Guernsey (UK), version v1. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are estimated number of male, female or both in each age group per grid square. The difference between constrained and unconstrained you can read on this page: https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained File Descriptions: {iso} {gender} {age group} {year} {type} {resolution}.tif iso Three-letter country code gender m = male, f= female, t = both genders age group 00 = age group 0 to 12 months 01 = age group 1 to 4 years 05 = age group 5 to 9 years 90 = age 90 years and over year Year that the population represents type CN = Constrained , UC= Unconstrained resolution Resolution of the data e.q. 100m = 3 arc (approximately 100m at the equator)

This dataset updates: Every year

This dataset is part of the data series [?]: WorldPop - Age and Sex Population Structures

GeoTIFF

Guernsey - Spatial Distribution of Population (2015-2030)

WorldPop

Time Period of the Dataset [?]: January 01, 2015-December 31, 2030 ... More

Constrained estimates, total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution. The difference between constrained and unconstrained you can read on this page: https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained

This dataset updates: Every year

This dataset is part of the data series [?]: WorldPop - Spatial Distribution of Population

GeoTIFF

Guernsey: Road Surface Data

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Time Period of the Dataset [?]: November 07, 2024-November 07, 2024 ... More

This dataset provides detailed information on road surfaces from OpenStreetMap (OSM) data, distinguishing between **paved** and **unpaved** surfaces across the region. This information is based on road surface prediction derived from hybrid deep learning approach. For more information on Methods, refer to the [paper](http://arxiv.org/abs/2410.19874) Roughly 0.001 million km of roads are mapped in OSM in this region. Based on AI-mapped estimates the share of paved and unpaved roads is approximately 0.0002 and 0.0001 (in million kms), corressponding to 22.4064% and 8.5633% respectively of the total road length in the dataset region. 0.0007 million km or 69.0303% of road surface information is missing in OSM. In order to fill this gap, Mapillary derived road surface dataset provides an additional 0.0 million km of information (corressponding to 0.2827% of total missing information on road surface) It is intended for use in transportation planning, infrastructure analysis, climate emissions and geographic information system (GIS) applications. This dataset provides comprehensive information on road and urban area features, including location, surface quality, and classification metadata. This dataset includes attributes from OpenStreetMap (OSM) data, AI predictions for road surface, and urban classifications. AI features: pred_class: Model-predicted class for the road surface, with values "paved" or "unpaved." pred_label: Binary label associated with pred_class (0 = paved, 1 = unpaved). osm_surface_class: Classification of the surface type from OSM, categorized as "paved" or "unpaved." combined_surface_osm_priority: Surface classification combining pred_label and surface(OSM) while prioritizing the OSM surface tag, classified as "paved" or "unpaved." combined_surface_DL_priority: Surface classification combining pred_label and surface(OSM) while prioritizing DL prediction pred_label, classified as "paved" or "unpaved." n_of_predictions_used: Number of predictions used for the feature length estimation. predicted_length: Predicted length based on the DL model’s estimations, in meters. DL_mean_timestamp: Mean timestamp of the predictions used, for comparison. OSM features may have these attributes(Learn what tags mean here): name: Name of the feature, if available in OSM. name:en: Name of the feature in English, if available in OSM. name:* (in local language): Name of the feature in the local official language, where available. highway: Road classification based on OSM tags (e.g., residential, motorway, footway). surface: Description of the surface material of the road (e.g., asphalt, gravel, dirt). smoothness: Assessment of surface smoothness (e.g., excellent, good, intermediate, bad). width: Width of the road, where available. lanes: Number of lanes on the road. oneway: Indicates if the road is one-way (yes or no). bridge: Specifies if the feature is a bridge (yes or no). layer: Indicates the layer of the feature in cases where multiple features are stacked (e.g., bridges, tunnels). source: Source of the data, indicating the origin or authority of specific attributes. Urban classification features may have these attributes: continent: The continent where the data point is located (e.g., Europe, Asia). country_iso_a2: The ISO Alpha-2 code representing the country (e.g., "US" for the United States). urban: Binary indicator for urban areas based on the GHSU Urban Layer 2019. (0 = rural, 1 = urban) urban_area: Name of the urban area or city where the data point is located. osm_id: Unique identifier assigned by OpenStreetMap (OSM) to each feature. osm_type: Type of OSM element (e.g., node, way, relation). The data originates from OpenStreetMap (OSM) and is augmented with model predictions using images downloaded from Mapillary in combination with the GHSU Global Human Settlement Urban Layer 2019 and AFRICAPOLIS2020 urban layer. This dataset is one of many HeiGIT exports on HDX. See the HeiGIT website for more information. We are looking forward to hearing about your use-case! Feel free to reach out to us and tell us about your research at communications@heigit.org – we would be happy to amplify your work.

This dataset updates: Every six months

This dataset is part of the data series [?]: Heidelberg Institute for Geoinformation Technology - Road Surface Data

Coronavirus (COVID-19) Vaccinations

HDX

Time Period of the Dataset [?]: December 17, 2020-January 11, 2024 ... More

The map and chart below show the number of COVID-19 vaccination doses administered per 100 people within a given population. Note that this does not measure the total number of people that have been vaccinated (which is usually two doses).

6300+ Downloads

This dataset updates: Never

CSV

Guernsey - Education Indicators

UNESCO

Time Period of the Dataset [?]: January 01, 1970-December 31, 2023 ... More

Education indicators for Guernsey. Contains data from the UNESCO Institute for Statistics bulk data service covering the following categories: SDG 4 Global and Thematic (made 2024 February), Other Policy Relevant Indicators (made 2024 February), Demographic and Socio-economic (made 2024 February)

200+ Downloads

This dataset updates: Every three months

This dataset is part of the data series [?]: UNESCO - Education Indicators

CSV

Guernsey - Subnational Administrative Boundaries

geoBoundaries

Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More

This dataset contains the following administrative boundaries: ADM0. Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database www.geoboundaries.org is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.

30+ Downloads

This dataset updates: Live

This dataset is part of the data series [?]: geoBoundaries - Subnational Administrative Boundaries

GeoJSON
SHP

Guernsey: WOF Administrative Subdivisions and Human Settlements

Who's On First

Time Period of the Dataset [?]: August 18, 2015-September 29, 2023 ... More

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.

This dataset updates: Every year

This dataset is part of the data series [?]: WOF - Administrative Subdivisions and Human Settlements

SHP

Guernsey - IDMC Event data (Internal Displacement Updates)

Internal Displacement Monitoring Centre (IDMC)

Time Period of the Dataset [?]: September 27, 2023-March 25, 2024 ... More

Resource has no data rows! No conflict and disaster population movement (flows) data recorded for Guernsey in the last 180 days. Internally displaced persons are defined according to the 1998 Guiding Principles (https://www.internal-displacement.org/publications/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. The IDMC's Event data, sourced from the Internal Displacement Updates (IDU), offers initial assessments of internal displacements reported within the last 180 days. This dataset provides provisional information that is continually updated on a daily basis, reflecting the availability of data on new displacements arising from conflicts and disasters. The finalized, carefully curated, and validated estimates are then made accessible through the Global Internal Displacement Database (GIDD), accessible at https://www.internal-displacement.org/database/displacement-data. The IDU dataset comprises preliminary estimates aggregated from various publishers or sources.

60+ Downloads

This dataset updates: Every day

This dataset is part of the data series [?]: IDMC - Internal Displacement Updates

CSV