Risk indicators — available datasets#
The risk-indicators catalog ships the dataset ids below across the three
providers. Pass one as the single entry in variables=. The output_kind
column tells you the return shape: tabular → a pandas.DataFrame, vector →
a pyramids.feature.collection.FeatureCollection.
List them live at any time:
ThinkHazard! (public, tabular)#
Natural-hazard screening across 11 hazards. Returns one row per hazard with
country, admin_code, hazard, hazard_type, level (mnemonic) and
level_title. Needs country= (ISO3) or a raw admin_code=.
| dataset id | output kind | description |
|---|---|---|
thinkhazard:flood_river |
tabular | River flood hazard level |
thinkhazard:flood_urban |
tabular | Urban flood hazard level |
thinkhazard:flood_coastal |
tabular | Coastal flood hazard level |
thinkhazard:earthquake |
tabular | Earthquake hazard level |
thinkhazard:landslide |
tabular | Landslide hazard level |
thinkhazard:tsunami |
tabular | Tsunami hazard level |
thinkhazard:cyclone |
tabular | Cyclone hazard level |
thinkhazard:water_scarcity |
tabular | Water scarcity (drought) hazard level |
thinkhazard:extreme_heat |
tabular | Extreme heat hazard level |
thinkhazard:wildfire |
tabular | Wildfire hazard level |
thinkhazard:volcano |
tabular | Volcano hazard level |
thinkhazard:all |
tabular | All 11 hazard levels for a division |
INFORM Risk (public, tabular)#
The composite index and its three dimensions, plus the climate variant. Returns
iso3, indicator_id, indicator_score, validity_year. country= filters
to one country; omit it for every country.
| dataset id | output kind | description |
|---|---|---|
inform:risk |
tabular | INFORM Risk composite index |
inform:hazard_exposure |
tabular | Hazard & Exposure dimension |
inform:vulnerability |
tabular | Vulnerability dimension |
inform:coping_capacity |
tabular | Lack of Coping Capacity dimension |
inform:climate_risk |
tabular | INFORM Climate Change Risk (SSP5 2050) |
Global Forest Watch (needs GFW_API_KEY)#
Forest indicators and the GADM admin geometry. Needs country= (ISO3) and a key.
| dataset id | output kind | description |
|---|---|---|
gfw:tree_cover_loss |
tabular | Annual tree-cover loss (ha) by year (UMD/Hansen, canopy ≥ 30%) |
gfw:tree_cover_loss_summary |
tabular | Total tree-cover loss (ha) (UMD/Hansen, canopy ≥ 30%) |
gfw:admin_boundary |
vector | GADM admin-boundary geometry the indicators are computed over |
Country / admin resolution#
ThinkHazard keys its API on numeric division codes, which at country level are
the FAO GAUL 2015 ADM0 codes. The catalog ships an ISO3 → code lookup
(243 countries) so country="KEN" resolves to division 133. A raw
admin_code= bypasses the lookup for a sub-national division.