Taiwan (Province of China) - Humanitarian Data Exchange

Taiwan Roads (OpenStreetMap Export)

Time Period of the Dataset [?]: December 08, 2024-December 08, 2024 ... More

OpenStreetMap contains roughly 182.4 million km of roads in this region. Based on AI-mapped estimates, this is approximately 92 % of the total road length in the dataset region. The average age of data for the region is 1 year, 10 months ( Last edited 5 months ago ) and 17% 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 name:zh This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

500+ Downloads

This dataset updates: Every day

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

Taiwan Buildings (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: December 08, 2024-December 08, 2024 ... More

OpenStreetMap contains roughly 442.1 thousand buildings in this region. Based on AI-mapped estimates, this is approximately 97% of the total buildings.The average age of data for this region is 1 year, 10 months ( Last edited 5 months ago ) and 12% 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 name:zh This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

100+ Downloads

This dataset updates: Every day

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

Taiwan Railways (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: December 08, 2024-December 08, 2024 ... 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 name:zh This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

200+ Downloads

This dataset updates: Every day

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

Taiwan Education Facilities (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: December 08, 2024-December 08, 2024 ... 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 name:zh This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

60+ Downloads

This dataset updates: Every day

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

Taiwan Waterways (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: December 08, 2024-December 08, 2024 ... 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 name:zh This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

200+ Downloads

This dataset updates: Every day

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

Taiwan Airports (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: December 08, 2024-December 08, 2024 ... 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 name:zh This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

100+ Downloads

This dataset updates: Every day

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

Taiwan Sea Ports (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: December 08, 2024-December 08, 2024 ... 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 name:zh This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

100+ Downloads

This dataset updates: Every day

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

Taiwan Health Facilities (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: December 08, 2024-December 08, 2024 ... 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 name:zh This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

90+ Downloads

This dataset updates: Every day

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

Taiwan Financial Services (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: December 08, 2024-December 08, 2024 ... 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 name:zh This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

20+ Downloads

This dataset updates: Every day

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

Taiwan Populated Places (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: December 08, 2024-December 08, 2024 ... 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') Features may have these attributes: name name:en place population is_in source name:zh This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

100+ Downloads

This dataset updates: Every day

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

Taiwan Points of Interest (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: December 08, 2024-December 08, 2024 ... 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 name:zh This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

70+ Downloads

This dataset updates: Every day

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

Taiwan, Province of China - Requirements and Funding Data

OCHA Financial Tracking System (FTS)

Time Period of the Dataset [?]: May 19, 2023-December 08, 2024 ... More

FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.

800+ Downloads

This dataset updates: Every day

This dataset is part of the data series [?]: OCHA FTS - Requirements and Funding Data

CSV

HDX HAPI - Metadata: Data Availability

HDX

Time Period of the Dataset [?]: December 06, 2024-December 06, 2024 ... 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.

90+ Downloads

This dataset updates: Every day

CSV

HDX HAPI - Coordination & Context: Conflict Events

HDX

Time Period of the Dataset [?]: January 01, 1997-November 30, 2024 ... 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.

90+ Downloads

This dataset updates: Every day

CSV

Taiwan - Conflict Events

Armed Conflict Location & Event Data Project (ACLED)

Time Period of the Dataset [?]: January 01, 2018-November 29, 2024 ... More

A weekly dataset providing the total number of reported political violence, civilian-targeting, and demonstration events in Taiwan. 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

Movement Distribution

Data for Good at Meta

Time Period of the Dataset [?]: December 01, 2022-September 05, 2024 ... 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

4100+ Downloads

This dataset updates: Every month

PDF
CSV

Taiwan (Province of China) - Food Security and Nutrition Indicators

Food and Agriculture Organization (FAO) of the United Nations

Time Period of the Dataset [?]: January 01, 2000-December 31, 2023 ... More

Food Security and Nutrition Indicators for Taiwan (Province of China). Contains data from the FAOSTAT bulk data service.

300+ Downloads

This dataset updates: Every year

This dataset is part of the data series [?]: FAO - Food Security Indicators

CSV

Taiwan (Province of China) - Food Prices

Food and Agriculture Organization (FAO) of the United Nations

Time Period of the Dataset [?]: January 01, 1970-June 30, 2024 ... More

Food Prices for Taiwan (Province of China). Contains data from the FAOSTAT bulk data service.

100+ Downloads

This dataset updates: Every year

This dataset is part of the data series [?]: FAO - Food Prices

CSV

Taiwan (Province of China): Road Surface Data

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 0.2292 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 0.0622 and 0.0047 (in million kms), corressponding to 27.1242% and 2.0314% respectively of the total road length in the dataset region. 0.1624 million km or 70.8444% of road surface information is missing in OSM. In order to fill this gap, Mapillary derived road surface dataset provides an additional 0.0085 million km of information (corressponding to 5.2655% 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

Total COVID-19 Tests Performed by Country

HDX

Time Period of the Dataset [?]: January 18, 2020-January 11, 2024 ... More

'Our World in Data' is compiling COVID-19 testing data over time for many countries around the world. They are adding further data in the coming days as more details become available for other countries. In some cases figures refer to the number of tests, in other cases to the number of individuals who have been tested. Refer to documentation provided here.

22000+ Downloads

This dataset updates: Every week

XLSX
CSV

Taiwan (Province of China) - Internal Displacements (New Displacements) – IDPs

Internal Displacement Monitoring Centre (IDMC)

Time Period of the Dataset [?]: January 01, 2009-December 31, 2023 ... More

Internally displaced persons are defined according to the 1998 Guiding Principles 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. "Internally displaced persons - IDPs" refers to the number of people living in displacement as of the end of each year. "Internal displacements (New Displacements)" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once. Contains data from IDMC's Global Internal Displacement Database.

200+ Downloads

This dataset updates: Every year

This dataset is part of the data series [?]: IDMC - Internally displaced persons

CSV

Taiwan (Province of China): WOF Administrative Subdivisions and Human Settlements

Who's On First

Time Period of the Dataset [?]: August 18, 2015-November 05, 2024 ... 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.

40+ Downloads

This dataset updates: Every year

SHP

Facebook Social Connectedness Index

Data for Good at Meta

Time Period of the Dataset [?]: October 13, 2021-March 15, 2024 ... More

We use an anonymized snapshot of all active Facebook users and their friendship networks to measure the intensity of connectedness between locations. The Social Connectedness Index (SCI) is a measure of the social connectedness between different geographies. Specifically, it measures the relative probability that two individuals across two locations are friends with each other on Facebook. Details on the underlying data and the construction of the index are provided in the “Facebook Social Connectedness Index - Data Notes.pdf” file. Please also see https://dataforgood.facebook.com/ as well as the associated research paper “Social Connectedness: Measurement, Determinants and Effects,” published in the Journal of Economic Perspectives (https://www.aeaweb.org/articles?id=10.1257/jep.32.3.259). Region identifiers are taken from GADM v2.8 https://gadm.org/download_country_v2.html. Future versions will update IDs to be compatible with the newest GADM version.

29000+ Downloads

This dataset updates: As needed

Taiwan, China - Economic, Social, Environmental, Health, Education,...

World Bank Group

Time Period of the Dataset [?]: January 01, 1970-December 31, 2021 ... More

Contains data from the World Bank's data portal covering the following topics which also exist as individual datasets on HDX: Financial Sector.

200+ Downloads

This dataset updates: Every month

This dataset is part of the data series [?]: World Bank - Economic and Social development

CSV

Taiwan, China - Financial Sector

World Bank Group

Time Period of the Dataset [?]: January 01, 1970-December 31, 2021 ... More

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. An economy's financial markets are critical to its overall development. Banking systems and stock markets enhance growth, the main factor in poverty reduction. Strong financial systems provide reliable and accessible information that lowers transaction costs, which in turn bolsters resource allocation and economic growth. Indicators here include the size and liquidity of stock markets; the accessibility, stability, and efficiency of financial systems; and international migration and workers\ remittances, which affect growth and social welfare in both sending and receiving countries.

100+ Downloads

This dataset updates: Every month

This dataset is part of the data series [?]: World Bank - Economic and Social development

CSV