This dataset is under embargo and will be made available by 4 January 2027 at the latest Find out more »
Cremin, E. et al see all authors
The Global Delta Risk Index at Sub-National level analysis of multi-hazards risk in the Ganges-Brahmaputra-Meghna (Bangladesh and India), Mekong and the Red river Deltas (Vietnam), 2025
https://doi.org/10.5285/740821f3-92c6-48fa-ade7-526521a5aaba
Cite this dataset as:
Cremin, E.; Le, H.; Hua, H.H.; Murshed, S.; Mashfiqus, S.; Banerjee, S.; Ghosh, T.; Renaud, F.; Baron, L. (2026). The Global Delta Risk Index at Sub-National level analysis of multi-hazards risk in the Ganges-Brahmaputra-Meghna (Bangladesh and India), Mekong and the Red river Deltas (Vietnam), 2025. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/740821f3-92c6-48fa-ade7-526521a5aaba
Download/Access
This dataset is under embargo and will be made available by 4 January 2027 at the latest Find out more »
The Global Delta Risk Index (GDRI) is a multi-hazard risk assessment framework designed to evaluate the vulnerability and resilience of river delta socio-ecological systems. It was developed mainly by researchers working on delta sustainability, disaster risk reduction, and environmental governance, including teams linked to the United Nations University, University of Glasgow and partner universities. The GDRI is a modular library of 143 indicators selected following consultations with stakeholders during workshops. After reviewing data availability, the current dataset comprises 47 indicators with data comparable across 3 deltas in 3 countries (India, Bangladesh, Vietnam). The GDRI combines several categories of data to measure risk in river deltas (please refer to the readme file for full explanation of the data categories):
1. Hazard data describing environmental threats affecting deltas, including: river flooding, coastal flooding, cyclones and storm surges, erosion, land subsidence, salinity intrusion, sea-level rise, and droughts and extreme rainfall. Additionally, multi-hazard layers are often derived from: remote sensing, climate models, hydrological and flood simulations, and national disaster databases.
2. Exposure data to identify what is exposed to hazards: population density, settlements and infrastructure, agricultural land, ecosystems (mangroves, wetlands, fisheries).
3. Vulnerability indicators, such as: poverty, malnutrition, access to sanitation and healthcare, education. gender inequality, livelihood dependence on natural resources, ecosystem degradation, and institutional capacity.
4. Coping and adaptive capacity data to measure the ability of communities and ecosystems to respond to hazards: governance quality, disaster preparedness, infrastructure access, social protection systems, ecological robustness, and community networks.
The GDRI was created because river deltas are among the world's most vulnerable regions under climate change and environmental pressure. The dataset explicitly aims to bridge the gap between disaster-risk frameworks and sustainability frameworks. The GDRI enables comparisons of different river deltas globally at sub-delta administrative scales. This dataset present the application been applied for the Mekong Delta, the Red River Delta and Ganges-Brahmaputra-Meghna Delta.. The subnational Global Delta Risk Index 2025 gathered data from 28,608 villages across the Red River delta (Vietnam), the Mekong delta (Vietnam) and the Ganges-Brahmaputra-Meghna delta (India and Bangladesh).
1. Hazard data describing environmental threats affecting deltas, including: river flooding, coastal flooding, cyclones and storm surges, erosion, land subsidence, salinity intrusion, sea-level rise, and droughts and extreme rainfall. Additionally, multi-hazard layers are often derived from: remote sensing, climate models, hydrological and flood simulations, and national disaster databases.
2. Exposure data to identify what is exposed to hazards: population density, settlements and infrastructure, agricultural land, ecosystems (mangroves, wetlands, fisheries).
3. Vulnerability indicators, such as: poverty, malnutrition, access to sanitation and healthcare, education. gender inequality, livelihood dependence on natural resources, ecosystem degradation, and institutional capacity.
4. Coping and adaptive capacity data to measure the ability of communities and ecosystems to respond to hazards: governance quality, disaster preparedness, infrastructure access, social protection systems, ecological robustness, and community networks.
The GDRI was created because river deltas are among the world's most vulnerable regions under climate change and environmental pressure. The dataset explicitly aims to bridge the gap between disaster-risk frameworks and sustainability frameworks. The GDRI enables comparisons of different river deltas globally at sub-delta administrative scales. This dataset present the application been applied for the Mekong Delta, the Red River Delta and Ganges-Brahmaputra-Meghna Delta.. The subnational Global Delta Risk Index 2025 gathered data from 28,608 villages across the Red River delta (Vietnam), the Mekong delta (Vietnam) and the Ganges-Brahmaputra-Meghna delta (India and Bangladesh).
Publication date: 2026-07-03
76 views
Formats
Comma-separated values (CSV), gpkg
Spatial information
Study area
Spatial representation types
Tabular (text)
Vector
Vector
Spatial reference system
WGS 84
Spatial resolution
2 metres
Provenance & quality
To develop the Global Delta Risk Index, several factors are examined for each delta. These include locational factors, social susceptibility, lack of coping and adaptation capacities, ecosystem sensitivity, lack of ecosystem robustness, population exposure (in relation to climate, salinity, flooding, cyclones, storm surges), ecosystem exposure, agriculture exposure, aquaculture exposure, social-ecological vulnerability, social-ecological exposure, and social-ecological risk. Please refer to the metadata for full explanation of the dataset lineage.
This GDRI approach provides the following aspects:
Scale - Sub-delta administrative units
Type - Composite socio-ecological risk index
Data sources - Remote sensing, census, climate models, stakeholder input
Method - Indicator-based multi-hazard assessment
Focus - Human + ecological vulnerability
Goal - Decision support for resilience and sustainability
The GDRI uses a mixed-method and multi-source methodology combining:
Step 1: Conceptual framework design
Step 2: Stakeholder consultations and Workshops to identify locally relevant risks and indicators
Step 3: Literature review
Step 4: Spatial and statistical integration
Step 5: Scenario modelling
List of relevant indicators was defined with stakeholders and experts in 7 focus groups: 3 in the Mekong delta, 3 in the GBM-B and 1 in the RRD
- Scoring has been performed through online survey with 78 stakeholders and experts from 4 river deltas (including the GBM-I online)
- Secondary data collected online (please refer to the metadata for the full list of secondary data sources).
This GDRI approach provides the following aspects:
Scale - Sub-delta administrative units
Type - Composite socio-ecological risk index
Data sources - Remote sensing, census, climate models, stakeholder input
Method - Indicator-based multi-hazard assessment
Focus - Human + ecological vulnerability
Goal - Decision support for resilience and sustainability
The GDRI uses a mixed-method and multi-source methodology combining:
Step 1: Conceptual framework design
Step 2: Stakeholder consultations and Workshops to identify locally relevant risks and indicators
Step 3: Literature review
Step 4: Spatial and statistical integration
Step 5: Scenario modelling
List of relevant indicators was defined with stakeholders and experts in 7 focus groups: 3 in the Mekong delta, 3 in the GBM-B and 1 in the RRD
- Scoring has been performed through online survey with 78 stakeholders and experts from 4 river deltas (including the GBM-I online)
- Secondary data collected online (please refer to the metadata for the full list of secondary data sources).
Licensing and constraints
This dataset is under embargo and will be made available by 4 January 2027 at the latest Find out more »
This dataset will be available under the terms of the Open Government Licence
Cite this dataset as:
Cremin, E.; Le, H.; Hua, H.H.; Murshed, S.; Mashfiqus, S.; Banerjee, S.; Ghosh, T.; Renaud, F.; Baron, L. (2026). The Global Delta Risk Index at Sub-National level analysis of multi-hazards risk in the Ganges-Brahmaputra-Meghna (Bangladesh and India), Mekong and the Red river Deltas (Vietnam), 2025. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/740821f3-92c6-48fa-ade7-526521a5aaba
Supplemental information
Cremin, E., O'Connor, J., Banerjee, S. et al. Aligning the Global Delta Risk Index with SDG and SFDRR global frameworks to assess risk to socio-ecological systems in river deltas. Sustain Sci 18, 1871-1891 (2023).
Correspondence/contact details
Authors
Le, H.
Vietnam National University, Hanoi
Hua, H.H.
Can Tho University
Murshed, S.
Bangladesh University of Engineering and Technology
Mashfiqus, S.
Bangladesh University of Engineering and Technology
Other contacts
Publisher
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Rights holder
Newcastle University
Custodian
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Additional metadata
Keywords
Adaptative capacities , Bangladesh , Ecological robustness , Ecological sensitivity , Ecosystem services , Environmental risk , Ganges Brahmaputra Meghna Delta , India , Mekong River Delta , Modelling , Multi-hazard risk , Red River Delta , Social and ecological vulnerabilities , Social susceptibility , Vietnam
Funding
Natural Environment Research Council Award: NE/S008926/1
