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, workflow_id and
source. The four Risk datasets read JRC's published release workbook by default
(the current release) and the Scores API when asked — see
which release you get — and every row records
which channel served it. 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 2050 (RCP4.5-SSP1) |
inform:climate_risk reads INFORM's separate Climate Change model, not the Risk release the
other four rows come from. INFORM publishes two pathways — "optimistic" (RCP4.5-SSP1) and
"pessimistic" (RCP8.5-SSP3), at 2050 and 2080 — but its API serves scores for only the
optimistic 2050 run, so that is the one this dataset returns. The pessimistic runs are
available from the Climate Change results
page
as a spreadsheet.
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.