In 2024, roughly **** million people were affected by major natural events and disasters in the Philippines, indicating an increase from the previous year. The rise in the number of impacted individuals was brought about by numerous tropical cyclones that occurred in that year.

Due to the geographical context of the Philippines, the country is vulnerable to numerous natural disasters ranging from earthquakes, tropical cyclones, and flooding. As of December 2024, earthquakes in the country have 9.7 out of 10 risk index points, while tsunamis had 9.4 risk index points. Disasters in the Philippines Besides earthquakes, volcanic eruptions within the “Ring of Fire,” coupled with coastal hazards such as typhoons, flooding, and rising sea levels constantly threaten the population with over 100 million inhabitants. In 2022, about 25 million Philippine pesos worth of damage was caused by tropical cyclones, which occur regularly. Fatalities The fatalities caused by natural disasters in the Philippines, however, have been on the decline since, having peaked in 2013 due to typhoon Haiyan. The death toll in 2016 was much lower, with 70 deaths due to natural disasters recorded. Meanwhile, the government’s risk reduction expenditure gradually increased since 2015, with the highest spending recorded in 2021.

This geocoded dataset represents all natural disaster records in EM-DAT's database for the Philippines between 1980 and 2012. The "disasters.csv" file contains 421 records pertaining to individual disasters, and the "locations.csv" file contains 1815 location records that relate (many to one) to corresponding records in the "disasters.csv" file.

In 2024, 362 people died due to major natural disasters in the Philippines. The peak number of deaths due to natural calamities was reported in 2013 when Typhoon Haiyan hit various regions in the Visayas and Mindanao.

This data is from a survey of Local Government Units (LGUs) Disaster Risk Reduction and Management (DRRM) Office in the Philippines. The survey conducted in 2016-2017 was intended to assess the disaster risk reduction and mitigation programs and policies employed by the local government on types of disaster due to natural hazards. The survey data covers 47 provinces (including Metro Manila) with 193 municipalities and cities. The sampling design followed a multi-stage probability scheme taking into account the high-risk and low-risk disaster areas. This data article describes the framework and design of the survey and highlights the creation of indices and other outcome variables based on the survey. It also provides information on the field operations including data cleaning and processing that may be useful to those undertaking similar surveys. The dataset is in comma-separated values file (.csv) with accompanying data dictionary (.txt). The questionnaire is also included in the data supplementary appendix. This data article is an adjunct to the research articles, “Localized Disaster Risk Management Index for the Philippines: Is Your Municipality Ready for the Next Disaster?,” Ravago, et al., 2020 and “Coping with disasters due to natural hazards: Evidence from the Philippines,” Ravago, et al., 2018, where data interpretation and analysis can be found.

In 2024, about *** million families were affected by major natural events and disasters in the Philippines, indicating an increase from the previous year. The rise in the number of impacted families was brought about by numerous tropical cyclones that occurred in that year.

Open Data for Resilience Initiative (OpenDRI) applies the concepts of the global open data movement to the challenges of reducing vulnerability to natural hazards and the impacts of climate change. OpenDRI supports World Bank Regional Disaster Risk Management Teams to build capacity and long-term ownership of open data projects with client countries that are tailored to meet specific needs and goals of stakeholders around three main areas of Sharing Data, Collecting Data, Using Data. All data is published under an open license. Projects include Open Cities Africa, with national projects in: Niger (flood hostpots and mitigation), Uganda (drought risk information and disaster risk financing), Zanzibar (vunlerability to natural disasters), Pacific Islands (Natural Disasters and Climate Change), Sri Lanka (evidence based methods for natural disaster response), Afghanistan (disaster risk decisionmaking), St Vincent and the Grenadines (hydroclimatic disasters), Saint Lucia (post disaster rehabilitation), Jamaica (storm even impact), Serbia (disaster preparedness), Indonesia (disaster management especially flooding), Seychelles (site specific risks of floods, earthquakes, cyclones, storm surge and tsunamis), Muaritius (under development), Madagascar (under development), Vietnam (natural hazards especially flood risks and climate change impacts), Bangladesh (under development), Pakistan (earthquakes and monsoon floods), Nepal (Seismic risk), Haiti (storms, flooding, landslides, environmental degradation), Guyana (under development), Grenada (under development), Dominica (extreme weather events), Colombia (flooding, landslides, increased vulnerability due to insufficient urban planning), Antigua and Barbuda (cyclones, fires and flooding), Belize (storm, flood and tsunami risks), Bolivia (natural hazards and climate change), Kyrgyz Republic (risk data on meteorological, geological, geophyical and boilogical hazards), Philippines (typhoones and monsoon floods recovery data), Tanzania (flood maps), Mozambique (flood, cyclone and windstorms), Comoros (flood, storm, volcanic eruption), Malawi (information to develop schools, healthcare and agriculture against floods and droughts), Armenia (earthquakes, drought, hailstorms, landslides)

This dataset shows the actual extent of flooding in the Philippines caused by typhoons or tropical cyclones as of October 24, 2024, as observed through available satellite imagery. The dataset can be used to track the progression of floods over time, identify areas at risk, and assess the impact of these natural disasters on infrastructure, agriculture, and local populations.

In 2024, over ***** individuals were injured due to major natural events and disasters in the Philippines. The peak number of injured people caused by natural disasters was reported in 2013 when Typhoon Haiyan hit various regions in the Visayas and Mindanao.

Philippines HWPW: Reason: < 40 Hrs: Bad Weather/Natural Disaster data was reported at 111.000 Person th in Jul 2020. This records an increase from the previous number of 82.000 Person th for Apr 2020. Philippines HWPW: Reason: < 40 Hrs: Bad Weather/Natural Disaster data is updated quarterly, averaging 96.500 Person th from Apr 2020 (Median) to Jul 2020, with 2 observations. The data reached an all-time high of 111.000 Person th in Jul 2020 and a record low of 82.000 Person th in Apr 2020. Philippines HWPW: Reason: < 40 Hrs: Bad Weather/Natural Disaster data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G019: Labour Force Survey: Employment: Hours Worked Per Week: by Reasons of Working.

This dataset shows the actual extent of flooding in the Philippines caused by typhoons or tropical cyclones as of July 30, 2023, as observed through available satellite imagery. The dataset can be used to track the progression of floods over time, identify areas at risk, and assess the impact of these natural disasters on infrastructure, agriculture, and local populations.

In 2024, roughly ****** houses were totally damaged due to major natural events and disasters in the Philippines, indicating an increase from the previous year. The peak number of damaged houses due to natural calamities was reported in 2013 when Typhoon Haiyan hit various regions in the Visayas and Mindanao.

Data collected from artefactual field experiments conducted in Siquijor Island, Philippines. Individual preferences for risk, patience and generosity were measured. Dataset and do-files were created using Stata 13. To recreate the summary statistics, non-parametric tests, regressions and graphs of the paper "Risk preferences after a typhoon: an artefactual field experiment with fishers in the Philippines", download all Experiment Data Files into a folder and run "00MainDoFile.do".

Philippines PH: Internally Displaced Persons: New Displacement Associated with Disasters data was reported at 2,529,000.000 Case in 2017. This records a decrease from the previous number of 5,930,000.000 Case for 2016. Philippines PH: Internally Displaced Persons: New Displacement Associated with Disasters data is updated yearly, averaging 2,643,000.000 Case from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 7,022,000.000 Case in 2013 and a record low of 1,002,000.000 Case in 2010. Philippines PH: Internally Displaced Persons: New Displacement Associated with Disasters data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Philippines – Table PH.World Bank: Population and Urbanization Statistics. Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. 'New Displacement' refers to the number of new cases or incidents of displacement recorded over the specified year, rather than the number of people displaced. This is done because people may have been displaced more than once.; ; The Internal Displacement Monitoring Centre (http://www.internal-displacement.org/); Sum;

This datasets contains a collection of pre-disaster indicators for the Philippines.

Evaluation reports The department periodically conducts evaluations of Global Affairs Canada priorities, programs and projects. Evaluation serves as a practical management tool for reviewing performance of programs and activities. The information gathered through an evaluation helps improve the design as well as the implementation of upcoming programs and initiatives. A report is generated for each evaluation conducted.

Age and blood pressure data from 3500+ patient charts, following the natural disaster resulting from Typhoon Haiyan in the Philippines.The Philippines Department of Health has requested that we acknowledge the data source, which is the Department of Health, Regional Office VIII, Leyte, Philippines.

This is part of a series of case write-ups developed from ethnographic data collection activities (using a combination of remote and in-situ methods due to Covid-19 restrictions) in Isla Sasa, a Philippine estuarine island, from 2020 to 2021 (ongoing as of writing). The data collection was conducted as part of the author’s doctoral research on design and citizenship practices within post-disaster housing reconstruction for the School of Architecture and Urban Design at RMIT University. Data collection focused on adult householders who suffered from either housing loss or damage after Super Typhoon Glenda in 2014 (international name: Rammasun), the most destructive storm on the island and one of the most destructive storms in the Philippines. Aside from exposure to typhoons, inhabitants of the four-hectare island also suffer from intense flooding that can be traced to land subsidence and sea level rise. The interview for Case 3 was conducted using a mobile phone and arranged through the assistance of a community health worker residing in the island, following research ethics protocols approved by the RMIT Human Research Ethics Committee. The interview was conducted in Tagalog. The interview was transcribed and this summary is based on the transcription.

In 2022, the total disaster risk reduction expenditures (DRRE) in the Philippines amounted to approximately 316 billion Philippine pesos, indicating a significant decrease from the expenditures in the previous year which amounted to around 664 billion Philippine pesos. The country's total DRRE in that year was highest on disaster mitigation.

Evaluation reports The department periodically conducts evaluations of Global Affairs Canada priorities, programs and projects. Evaluation serves as a practical management tool for reviewing performance of programs and activities. The information gathered through an evaluation helps improve the design as well as the implementation of upcoming programs and initiatives. A report is generated for each evaluation conducted.