China GIS data

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114 datasets.

Taiwan Boundary

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. Taiwan Boundaries provides a 2022 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 2022 boundaries are provided by Michael Bauer Research GmbH. They are sourced from National Land Surveying and Mapping Center, 2021, Village Boundary Map (2021/06/10). These were published in December 2022. Other administrative boundaries for this country are also available: Province County District

Boundaries · esri_livingatlas
China Province Boundaries

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. China Province Boundaries provides a 2022 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 2022 boundaries are provided by Michael Bauer Research GmbH. These were published in December 2022. Other administrative boundaries for this country are also available: Country Prefecture County

Boundaries · esri_livingatlas
China Country Boundary

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. China Country Boundary provides a 2022 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 2022 boundaries are provided by Michael Bauer Research GmbH. These were published in December 2022. Other administrative boundaries for this country are also available: Province Prefecture County

Boundaries · esri_livingatlas
埔里工業區(埔里酒廠)

uav imagery by LIN-JUICHIEH, acquired 2026-06-17 to 2026-06-18, 5.0 cm per pixel, published on OpenAerialMap.

Imagery and land cover · LIN-JUICHIEH
The wildfire area of Yajiang country, Sichuan Province, China

This dataset contains SHP and TIFF

Environment · International Research Center of Big Data for Sustainable Development Goals (CBAS)
China - Subnational Administrative Boundaries

China administrative level 0-2 boundaries (COD-AB) dataset. The date that these administrative boundaries were established is unknown. NOTE: COD-AB source is unofficial. COD-AB reflects Chinese and UN recognition of 'Taiwan' as a Chinese ADM1 feature. This COD-AB was most recently reviewed for accuracy and necessary changes in October 2024. The COD-AB does not require any update. Sourced from publicly available online sources Vetting by Information Technology Outreach Services (ITOS) with funding from USAID. There is no suitable population statistics dataset (COD-PS) for linkage to this COD-AB.. No edge-matched (COD-EM) version of this COD-AB has yet been prepared. Please see the COD Portal. Administrative level 1 contains 34 feature(s). The normal administrative level 1 feature type is ""currently not known"". Administrative level 2 contains 361 feature(s). The normal administrative level 2 feature type is ""currently not known"". "China administrative level 0-2 boundaries (COD-AB) dataset. The date that these administrative boundaries were established is unknown. NOTE: COD-AB source is unofficial. COD-AB reflects Chinese and UN recognition of 'Taiwan' as a Chinese ADM1 feature. This COD-AB was most recently reviewed for accuracy and necessary changes in October 2024. The COD-AB does not require any update. Sourced from publicly available online sources Vetting by Information Technology Outreach Services (ITOS) with funding from USAID. There is no suitable population statistics dataset (COD-PS) for linkage to this COD-AB.. No edge-matched (COD-EM) version of this COD-AB has yet been prepared. Please see the COD Portal. Administrative level 1 contains 34 feature(s). The normal administrative level 1 feature type is 'currently not known'. Administrative level 2 contains 361 feature(s). The normal administrative level 2 feature type is 'currently not known'. Recommended cartographic projection: Asia South Albers Equal Area Conic This metadata was last updated on January 18, 2025.

Boundaries · OCHA Regional Office for Asia and the Pacific (ROAP)
China: WOF Administrative Subdivisions and Human Settlements

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.

Population · Who's On First
China - Earthquake on May 11 2025

**ADAM ID: **sm\_us7000pyq7 Magnitude 5.6 earthquake at 10.0 depth occurred on May 11 2025 6km S of Lhatse. The epicentre of the earthquake was located at latitude 29.0353 longitude 87.6347. It impacted 43426 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.

Geoscience · WFP Automated Disaster Analysis & Mapping
China - Earthquake on Jan 08 2025

**ADAM ID: **sm\_us6000pijd Magnitude 5.7 earthquake at 10.0 depth occurred on Jan 08 2025 87km W of Madoi. The epicentre of the earthquake was located at latitude 34.7767 longitude 97.4386. It impacted 599 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.

Geoscience · WFP Automated Disaster Analysis & Mapping
China - Earthquake on Jan 07 2025

**ADAM ID: **sm\_us6000pi9w Magnitude 7.1 earthquake at 10.0 depth occurred on Jan 07 2025 26km E of Tingri. The epicentre of the earthquake was located at latitude 28.639 longitude 87.3608. It impacted 19366 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.

Geoscience · WFP Automated Disaster Analysis & Mapping
China - Tropical storm on Aug 07 2025

**ADAM ID: **1001194\_28 Tropical storm during the period Aug 07 2025-Aug 13 2025 in Taiwan, China. The center of the storm was located near latitude 24.3 longitude 116.9. 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.

Climate and weather · WFP Automated Disaster Analysis & Mapping
China - Tropical storm on Jul 22 2025

**ADAM ID: **1001182\_11 Tropical storm during the period Jul 22 2025-Jul 24 2025 in Japan, China. The center of the storm was located near latitude 26.9 longitude 124.9. 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.

Climate and weather · WFP Automated Disaster Analysis & Mapping
China - Tropical storm on Jul 18 2025

**ADAM ID: **1001181\_16 Tropical storm during the period Jul 18 2025-Jul 22 2025 in China, Viet Nam, Philippines. The center of the storm was located near latitude 20.3 longitude 106.2. 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.

Climate and weather · WFP Automated Disaster Analysis & Mapping
China - Category 1 on Jul 04 2025

**ADAM ID: **1001175\_7 Category 1 during the period Jul 04 2025-Jul 05 2025 in Taiwan, China. The center of the storm was located near latitude 20.8 longitude 118.0. 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.

Climate and weather · WFP Automated Disaster Analysis & Mapping
China - Tropical storm on Jun 10 2025

**ADAM ID: **1001166\_16 Tropical storm during the period Jun 10 2025-Jun 14 2025 in China, Viet Nam. The center of the storm was located near latitude 21.2 longitude 109.8. 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.

Climate and weather · WFP Automated Disaster Analysis & Mapping
China - Earthquake on Jan 26 2026

**ADAM ID: **sm\_us7000rs2q Magnitude 5.5 earthquake at 10.0 depth occurred on Jan 26 2026 10km E of Diebu. The epicentre of the earthquake was located at latitude 34.0278 longitude 103.3047. It impacted 30897 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.

Geoscience · WFP Automated Disaster Analysis & Mapping
China - Earthquake on Dec 04 2025

**ADAM ID: **sm\_us7000rfgy Magnitude 5.8 earthquake at 10.0 depth occurred on Dec 04 2025 86km SE of Kara-Say. The epicentre of the earthquake was located at latitude 41.0259 longitude 78.4505. It impacted 12131 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.

Geoscience · WFP Automated Disaster Analysis & Mapping
China - Earthquake on Oct 09 2025

**ADAM ID: **sm\_us6000rfs1 Magnitude 5.6 earthquake at 10.0 depth occurred on Oct 09 2025 210 km N of Daocheng, China. The epicentre of the earthquake was located at latitude 30.9106 longitude 99.939. It impacted 39846 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.

Geoscience · WFP Automated Disaster Analysis & Mapping
China - Category 1 on Sep 18 2025

**ADAM ID: **1001211\_25 Category 1 during the period Sep 18 2025-Sep 24 2025 in Philippines, China. The center of the storm was located near latitude 21.8 longitude 111.1. 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.

Climate and weather · WFP Automated Disaster Analysis & Mapping
China - Tropical storm on Sep 06 2025

**ADAM ID: **1001206\_4 Tropical storm during the period Sep 06 2025-Sep 07 2025 in China. The center of the storm was located near latitude 18.3 longitude 114.4. 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.

Climate and weather · WFP Automated Disaster Analysis & Mapping
China - Tropical storm on Sep 16 2025

**ADAM ID: **1001209\_13 Tropical storm during the period Sep 16 2025-Sep 19 2025 in Philippines, China. The center of the storm was located near latitude 22.8 longitude 115.4. 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.

Climate and weather · WFP Automated Disaster Analysis & Mapping
China: Road Surface Data

This dataset provides detailed information on road surfaces from OpenStreetMap (OSM), distinguishing between **paved** and **unpaved** roads across the region. Surface classification is derived using a hybrid deep learning approach. For methodological details, see: http://arxiv.org/abs/2410.19874 Recently, we also published a new country-level dataset based on PlanetScope satellite imagery with near-complete coverage of all arterial roads. It is available on HDX under the name China **Planet** Road Surface. The corresponding paper is available at: https://arxiv.org/abs/2512.04092 Road Surface Statistics Approximately 6.1163 million km of roads are mapped in OSM in this region. Based on AI-derived estimates: - Paved roads: 0.6539 million km (10.6909%) - Unpaved roads: 0.0775 million km (1.2663%) About 5.385 million km (88.0428%) of road surface information is missing in OSM. To reduce this gap, the Mapillary-derived road surface dataset provides an additional 0.012 million km (0.2231%) of the missing surface information. Intended Use This dataset supports transportation planning, infrastructure analysis, climate emissions assessment, and GIS applications. AI Features - **pred_class**: Model-predicted surface class ("paved" or "unpaved") - **pred_label**: Binary label (0 = paved, 1 = unpaved) - **osm_surface_class**: Surface classification derived from OSM tags - **combined_surface_osm_priority**: Combined classification prioritizing OSM - **combined_surface_DL_priority**: Combined classification prioritizing DL prediction - **n_of_predictions_used**: Number of predictions used for estimation - **predicted_length**: Predicted length based on DL estimation (meters) - **DL_mean_timestamp**: Mean timestamp of predictions used OSM Attributes - **name** - **name:en** - **name:* (local language)** - **highway** - **surface** - **smoothness** - **width** - **lanes** - **oneway** - **bridge** - **layer** - **source** Urban Classification Attributes - **continent** - **country_iso_a2** - **urban** (0 = rural, 1 = urban) - **urban_area** - **osm_id** - **osm_type** Data Sources The dataset originates from OpenStreetMap (OSM) and is augmented with deep learning predictions based on Mapillary street-level imagery, combined with the GHSU Global Human Settlement Urban Layer 2019 and AFRICAPOLIS 2020 urban layer. More HeiGIT datasets: https://data.humdata.org/organization/heidelberg-institute-for-geoinformation-technology More information: https://heigit.org/ Contact: communications@heigit.org

Transport · HeiGIT (Heidelberg Institute for Geoinformation Technology)
China - Earthquake on Jun 16 2026

**ADAM ID: **sm\_us7000stbz Magnitude 6.3 earthquake at 10.0 depth occurred on Jun 16 2026 260 km SSE of Dunhuang, China. The epicentre of the earthquake was located at latitude 37.8888 longitude 95.4028. It impacted 1850 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.

Geoscience · WFP Automated Disaster Analysis & Mapping
China - Spatial Distribution of Population

No description yet.

Population · WorldPop (University of Southampton)
The spatial distribution of population in 2024, China

No description yet.

Population · WorldPop (University of Southampton)
The spatial distribution of population in 2020, China

No description yet.

Population · WorldPop (University of Southampton)
China 100m Population

No description yet.

Population · WorldPop (University of Southampton)
China - Tropical storm on Jul 01 2026

**ADAM ID: **1001279\_44 Tropical storm during the period Jul 01 2026-Jul 11 2026 in Guam, Northern Mariana Islands, Japan, Taiwan, China. The center of the storm was located near latitude 28.7 longitude 120.4. 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.

Climate and weather · WFP Automated Disaster Analysis & Mapping
China: Cyclone - Tropical storm - Jul 2023

**ADAM ID: 1000983\_8** Cyclone (tropical storm) during the period Jul 14 2023-Jul 18 2023 in China. It impacted 20061341 people.

Environment · WFP Automated Disaster Analysis & Mapping
China: Cyclone - Tropical depression - Sep 2023

**ADAM ID: 1000999\_23** Cyclone (tropical depression) during the period Aug 23 2023-Sep 03 2023 in China, Philippines. It impacted 36487954 people.

Environment · WFP Automated Disaster Analysis & Mapping
China: Cyclone - Tropical depression - Oct 2023

**ADAM ID: 1001018\_4** Cyclone (tropical depression) during the period Sep 29 2023-Oct 10 2023 in China, Japan, Philippines. It impacted 3755569 people.

Environment · WFP Automated Disaster Analysis & Mapping
China: Cyclone - Category 1 - Jul 2023

**ADAM ID: 1000985\_9** Cyclone (category 1) during the period Jul 21 2023-Jul 28 2023 in China, Philippines. It impacted 23921068 people.

Environment · WFP Automated Disaster Analysis & Mapping
China - Category 2 on Jul 23 2026

**ADAM ID: **1001294\_11 Category 2 during the period Jul 23 2026-Jul 25 2026 in China, Philippines. The center of the storm was located near latitude 22.4 longitude 115.1. 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.

Climate and weather · WFP Automated Disaster Analysis & Mapping
China - Earthquake on Jul 28 2026

**ADAM ID: **sm\_us6000tga6 Magnitude 5.8 earthquake at 10.0 depth occurred on Jul 28 2026 14km E of Huang Zhong. The epicentre of the earthquake was located at latitude 35.3745 longitude 99.5602. It impacted 12581 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.

Geoscience · WFP Automated Disaster Analysis & Mapping
China - Earthquake on Aug 18 2026

**ADAM ID: **sm\_us6000tlrj Magnitude 5.9 earthquake at 10.0 depth occurred on Aug 18 2026 269 km SSE of Dunhuang, China. The epicentre of the earthquake was located at latitude 37.8349 longitude 95.538. It impacted 2354 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.

Geoscience · WFP Automated Disaster Analysis & Mapping