An assessment is only as good as its inputs. These are the eight categories of data the process relies on, and the honest position on which of them this platform can and cannot supply.
Demo data
This platform does not host Philippine agency datasets. It explains what data is needed and which kind of institution normally issues it. Obtain the actual data from the agency concerned or through your provincial and regional planning offices.
The eight data categories
Climate data
CDRA steps 1 & 2
Establish baseline climate and projected changes over the plan period.
Typical data
•Rainfall and temperature normals
•Downscaled climate projections
•Tropical cyclone frequency
•Sea level trends
Sourced from the national or regional agency with the mandate for this data, and from your own local records. This platform lists no figures of its own for this category.
Hazard maps
CDRA steps 1 & 4
Define where each hazard can occur and how severe it can be.
Typical data
•Flood susceptibility
•Landslide susceptibility
•Storm surge advisories
•Seismic and volcanic hazard maps
Sourced from the national or regional agency with the mandate for this data, and from your own local records. This platform lists no figures of its own for this category.
Historical disaster records
CDRA steps 1 & 2
Validate hazard maps against what has actually happened locally.
Typical data
•Damage and loss reports
•Declarations of state of calamity
•Casualty and displacement records
•Community disaster timelines
Sourced from the national or regional agency with the mandate for this data, and from your own local records. This platform lists no figures of its own for this category.
Population and demographics
CDRA steps 3 & 4
Count who is exposed and identify groups needing particular attention.
Typical data
•Census population by barangay
•Household counts
•Age and sex distribution
•Persons with disabilities and other vulnerable groups
Sourced from the national or regional agency with the mandate for this data, and from your own local records. This platform lists no figures of its own for this category.
Land use and land cover
CDRA steps 3 & 5
Show what activities occupy each area today and what is planned.
Typical data
•Existing land use maps
•Approved zoning maps
•Land cover classifications
•Agricultural production areas
Sourced from the national or regional agency with the mandate for this data, and from your own local records. This platform lists no figures of its own for this category.
Infrastructure and lifelines
CDRA steps 3 & 4
Identify networks whose failure would cut off services.
Typical data
•Road and bridge inventories
•Water supply systems
•Power distribution networks
•Telecommunications facilities
Sourced from the national or regional agency with the mandate for this data, and from your own local records. This platform lists no figures of its own for this category.
Critical point facilities
CDRA steps 3 & 4
Locate facilities that must keep working during and after an event.
Typical data
•Schools
•Hospitals and health stations
•Government buildings
•Evacuation centres and fire stations
Sourced from the national or regional agency with the mandate for this data, and from your own local records. This platform lists no figures of its own for this category.
Natural resources and environment
CDRA steps 3 & 5
Account for ecosystems that both face risk and buffer against it.
Typical data
•Watershed and forest cover
•Mangrove and coastal ecosystems
•Protected areas
•Water resource inventories
Sourced from the national or regional agency with the mandate for this data, and from your own local records. This platform lists no figures of its own for this category.
Telling the four kinds apart
Every value in a risk assessment should be traceable to one of these. Mixing them up is how an assessment loses credibility at review.
Official
Issued by a government agency. Identified by agency and linked to the agency's own publication. Nothing on this platform substitutes for the original.
Demo
Invented for teaching. Everything in the demo municipality falls here, and it is labelled as demo data wherever it appears.
User-uploaded
Data an LGU would bring in itself once workspaces exist. Provenance stays with the LGU that supplied it.
Derived
Calculated from other data — a risk class computed from hazard and exposure inputs. Always traceable to the inputs it came from.
CDRA Philippines is an independent educational module of SmartCity.ph. It is not an official application of DHSUD, USAID, PAGASA, or any other government agency, and it is not endorsed by them. Official documents referenced here identify their issuing agency and link back to the original source. All municipal figures, maps, and risk scores shown in the demo are fictional.