Future Landslides Data | Climate Risk Data | 3 Hazard Indicators | 3 Future Scenarios | 1981-2100 | 0.1°x0.1° Global product image in hero

Future Landslides Data | Climate Risk Data | 3 Hazard Indicators | 3 Future Scenarios | 1981-2100 | 0.1°x0.1° Global

year
fwi
fsl
extreme_danger_days
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Volume
120
Simulation years
Data Quality
100%
Temporal Completeness
Avail. Formats
.bin, .parquet, and .tiff
File
Coverage
250
Countries
History
45
years

Data Dictionary

[Sample] Wildfire Spp585 Ipsl
Attribute Type Example Mapping
year
Timestamp 1951
fwi
Integer 33
fsl
Integer 27
extreme_danger_days
Integer 14

Description

A global dataset of projected landslide hazards from five climate models under three IPCC scenarios, featuring three indicators based on a susceptibility map and a rainfall index: moderate hazard, high hazard, very high hazard. Covers 1981–2100 at 0.1° resolution for climate risk assessment.
The Future landslides Hazard dataset offers a global, high-resolution (0.1°) view of changing landslides risk from 1981 to 2100. It provides three key indicators derived from a susceptibility map and a rainfall Index to estimate potential rainfall triggered landslides: -Moderate hazard: Annual count of days with potential landslide occurrence over moderate hazard locations. - High hazard: Annual count of days with potential landslide occurrence over high hazard locations. - Very high hazard: Annual count of days with potential landslide occurrence over very high hazard locations. These indicators capture both long-term trends and increasing frequency, offering actionable insights into how rainfall triggered landslides conditions may evolve with climate change. The dataset is built from five widely used global climate models and aligned with three IPCC emissions scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5), representing a range of possible futures from low to high emissions. It supports climate risk assessments, investment planning, and resilience strategies across sectors exposed to landslides hazards, including insurance, energy, real estate, and infrastructure. Professionals can apply the dataset to assess future exposure, prioritize asset protection, design infrastructure for high-risk areas, or evaluate vulnerability in operations and supply chains. Data are delivered in NetCDF format, with CSV or GeoTIFF versions available on request.

Country Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (52)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Kosovo
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other (9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

History

45 years of historical data

Volume

3 Hazard Indicators
3 Future Scenarios
5 Climate Models
120 Simulation years

Pricing

License Starts at
One-off purchase Available
Monthly License Not available
Yearly License Available
Usage-based Not available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
100%
Temporal Completeness

Delivery

Methods
S3 Bucket
SFTP
Frequency
on-demand
Format
.bin
.parquet
.tiff
.csv

Use Cases

Categories

Related Searches

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Frequently asked questions

What is Future Landslides Data Climate Risk Data 3 Hazard Indicators 3 Future Scenarios 1981-2100 0.1°x0.1° Global?

A global dataset of projected landslide hazards from five climate models under three IPCC scenarios, featuring three indicators based on a susceptibility map and a rainfall index: moderate hazard, high hazard, very high hazard. Covers 1981–2100 at 0.1° resolution for climate risk assessment.

What is Future Landslides Data Climate Risk Data 3 Hazard Indicators 3 Future Scenarios 1981-2100 0.1°x0.1° Global used for?

This product has 5 key use cases. The Climate Data Factory recommends using the data for Financial Services, Risk Assessment, Supply Chain Risk Management (SCRM), Risk Modelling, and ESG Risk Assessment. Global businesses and organizations buy ESG Risk Data from The Climate Data Factory to fuel their analytics and enrichment.

Who can use Future Landslides Data Climate Risk Data 3 Hazard Indicators 3 Future Scenarios 1981-2100 0.1°x0.1° Global?

This product is best suited if you’re a Enterprise or Medium-sized Business looking for ESG Risk Data. Get in touch with The Climate Data Factory to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Future Landslides Data Climate Risk Data 3 Hazard Indicators 3 Future Scenarios 1981-2100 0.1°x0.1° Global go?

This product has 45 years of historical coverage. It can be delivered on a on-demand basis.

Which countries does Future Landslides Data Climate Risk Data 3 Hazard Indicators 3 Future Scenarios 1981-2100 0.1°x0.1° Global cover?

This product includes data covering 250 countries like USA, China, Japan, Germany, and India. The Climate Data Factory is headquartered in France.

How much does Future Landslides Data Climate Risk Data 3 Hazard Indicators 3 Future Scenarios 1981-2100 0.1°x0.1° Global cost?

Pricing information for Future Landslides Data Climate Risk Data 3 Hazard Indicators 3 Future Scenarios 1981-2100 0.1°x0.1° Global is available by getting in contact with The Climate Data Factory. Connect with The Climate Data Factory to get a quote and arrange custom pricing models based on your data requirements.

How can I get Future Landslides Data Climate Risk Data 3 Hazard Indicators 3 Future Scenarios 1981-2100 0.1°x0.1° Global?

Businesses can buy ESG Risk Data from The Climate Data Factory and get the data via S3 Bucket and SFTP. Depending on your data requirements and subscription budget, The Climate Data Factory can deliver this product in .bin, .parquet, .tiff, and .csv format.

What is the data quality of Future Landslides Data Climate Risk Data 3 Hazard Indicators 3 Future Scenarios 1981-2100 0.1°x0.1° Global?

The Climate Data Factory has reported that this product has the following quality and accuracy assurances: 100% Temporal Completeness. You can compare and assess the data quality of The Climate Data Factory using Datarade’s data marketplace.

What are similar products to Future Landslides Data Climate Risk Data 3 Hazard Indicators 3 Future Scenarios 1981-2100 0.1°x0.1° Global?

This product has 3 related products. These alternatives include Future Wildfires Data Climate Risk Data 3 Hazard Indicators 3 Future Scenarios 1981-2100 0.1°x0.1° Global, Country & Industry Risk Data 200+ Sources Risk Insights (250+ Countries, 40+ Industries) Geo-Industry Risk Analysis, and Biodiversity Footprint Data Nature ESG Data 14k+ Global Companies Climate Risk Data. You can compare the best ESG Risk Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request
License Starts at
One-off purchase Available
Monthly License Not available
Yearly License Available
Usage-based Not available