Data source: Project NOAH hazard maps (UP, DOST and PAGASA), with PSA boundaries. KlaroFlow does not collect these figures. We organise, chart and explain what the agencies publish.

Explore flood hazards in your area

Choose a place and compare historical river-flood and storm-surge scenarios.

Model dates River-flood models: Project NOAH, 2014–2017 Storm-surge models: Project NOAH SSA 1–4 (PAGASA) Boundaries: PSA PSGC, 31 Dec 2023
Coverage. Barangay-level data is available for Cebu City, Mandaue and Lapu-Lapu only (137 barangays listed, 135 with boundaries). All 50 cities and municipalities of the province are listed. River-flood coverage varies by scenario; the storm-surge models cover the whole coast. Historical storms are dated separately from the models under Sources & limits.

Full report

In the full report

This free preview shows the key findings and the sources. The full report opens these views:

  • Explore a place
    Pick a place on the map or by name. The result shows how much of its land sits in mapped hazard zones for the selected scenario, and whether that scenario covers it.
  • Compare scenarios
    Choose a place above to compare how much of its land sits in mapped hazard zones under each scenario.
  • Local checks
    Short checks you can take to the barangay or city DRRMO. They are based on the mapped scenarios, not on current conditions.

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Sources & limits

What these maps can and cannot show

Models, not records

The hazard maps show modelled inundation under set rainfall and storm-surge scenarios, built by Project NOAH from laser-scanned land heights between 2014 and 2017. They do not show where water went in any real storm, and they cannot know about drains, walls or buildings changed since.

Coverage varies by dataset and scenario

Hazard classes

River-flood layers carry three classes from the source: Low (about 0 to 0.5 m), Medium (0.5 to 1.5 m) and High (over 1.5 m). The source notes that shallow but fast-flowing water may be given a higher class than its depth alone suggests. Storm-surge layers use the same three classes, judged on depth and on depth times speed.

Storm-surge scenarios 1 to 4 model peak storm-tide heights of up to 2 m, up to 3 m, up to 4 m and more than 4 m, per the loaded dataset’s metadata. PAGASA’s public advisories use a different height scale, so the scenario number here is not an advisory number.

How the figures were calculated

For each barangay, city and municipality: the share of its land inside each hazard class, calculated from the published hazard layers and the PSA boundary files. Results inherit the coverage and limits of those sources. 137 barangays are listed for the three cities; have no outline in the boundary file and are not drawn, so 135 are. Shares are of land area only.

This page is for understanding mapped risk ahead of time, not a live warning. For a warning today, use PAGASA, NDRRMC and your city or municipal DRRMO.

How the models were made

Project NOAH, a programme of the University of the Philippines and PAGASA under DOST, flew laser scanners (LiDAR) over Cebu between 2014 and 2017 to measure land heights to within a few centimetres. From the shape of the land, hydrologists modelled where rain-swollen rivers would spread for three rainfall scenarios, and where the sea would reach for four storm-surge scenarios. The published shapefiles were measured against every barangay and municipal boundary to produce the shares on this page.

Historical storms in Cebu (event accounts, not modelled maps)
8 November 2013
Yolanda (Haiyan)
Crossed northern Cebu

The typhoon crossed Daanbantayan and Bantayan Island hours after a storm surge of 5 to 7 metres struck Tacloban, Leyte. On Bantayan more than 11,000 houses were reported destroyed. Source: AHA Centre repository, Bantayan inundation study.

16 December 2021
Odette (Rai)
Landfall at Carcar, south Cebu

Field surveys later measured the sea at 2.5 to 4.2 metres above normal along the coasts of Cebu and Bohol. Source: Field Survey of 2021 Typhoon Rai, Journal of Coastal and Riverine Flood Risk.

4 November 2025
Tino (Kalmaegi)
183 mm of rain in 24 hours

Against a November average of about 131 mm for the Cebu City area, rivers including the Butuanon, Mananga, Cansaga and Cotcot overflowed into Mandaue, Talisay, south Cebu City, Consolacion, Liloan and Compostela. More than 100 deaths were reported nationally, most in Cebu. Sources: Al Jazeera, 4 Nov 2025; NDRRMC reporting.

These accounts describe what was observed. The hazard maps on this page were drawn years earlier and are models of scenarios, not of these events.

Datasets
DatasetPeriodGeographyReuseLink
River-flood hazard maps: Project NOAH / Phil-LiDAR 1 (UP, DOST)Historical models from land heights surveyed 2014–2017Central Cebu, roughly Carcar to Danao, for the 5- and 25-year scenarios; all 50 cities and municipalities for the 100-yearODbL 1.0BetterGov.ph mirror and metadata (hazard classes)
Storm-surge hazard maps: Project NOAH (PAGASA, DOST), SSA 1 to 4Historical models; scenario heights from the dataset metadataWhole coast of Cebu Province and the three citiesODbL 1.0BetterGov.ph mirror and metadata (scenario heights)
Boundaries: PSA PSGC, via faeldon/philippines-json-mapsAs of 31 Dec 2023Cebu Province and the barangays of Cebu City, Mandaue and Lapu-LapuMITGitHub repository
Land shares in each hazard class: calculated by KlaroFlowSame as the models above135 drawn barangays and 50 cities and municipalitiesODbL 1.0 (derived figures)This page’s data file

Scroll the table sideways to see every column.

Other references and warnings today

Licences and credit. River-flood and storm-surge hazard maps: Project NOAH (UP, DOST, PAGASA), made available under the Open Database License (ODbL 1.0). Boundaries: derived from the PSA PSGC via faeldon/philippines-json-maps (MIT). Changes made by KlaroFlow: the land shares in each hazard class were measured from the maps for every place. Under the ODbL, those derived figures, in the page’s data file, are offered under the same ODbL licence. The sources do not endorse KlaroFlow or this page.

Sources, scope and corrections

These figures come from the sources listed here. KlaroFlow selects, checks and presents them; the source organisations do not endorse this report. Reference periods and limitations are shown beside each view. If you find a discrepancy, send the report name, view and figure to [email protected] so we can review it.

Built on public data by KlaroFlow · Business Analytics & Consultancy, Cebu.