Key Figures
Data Completeness
13/27 Core Data 25 Datasets 9 Organisations Show legend
What is Data Completeness?
Data Completeness defines a set of core data that are essential for preparedness and emergency response. For select countries, the HDX Team and trusted partners evaluate datasets available on HDX and add those meeting the definition of a core data category to the Data Completeness board above. Please help us improve this feature by sending your feedback to hdx@un.org.
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Presence, freshness, and quality of dataset
  • Dataset fully matches criteria and is up-to-date
  • Dataset partially matches criteria and/or is not up-to-date
  • No dataset found matching the criteria
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Affected People
3 Datasets
Refugees & Persons of Concern
Humanitarian Profile Locations
Humanitarian Needs
Casualties
Armed Conflict Location & Event Data Project (ACLED)
Coordination & Context
7 Datasets
Food Security & Nutrition
2 Datasets
Global Acute Malnutrition Rate
Severe Acute Malnutrition Rate
Food Prices
WFP - World Food Programme
Health & Education
6 Datasets
Population & Socio-economy
2 Datasets
Baseline Population
Baseline Population by Age & Sex
Poverty Rate
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  • 100+ Downloads
    Updated January 2, 2020 | Dataset date: Jan 2, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay') Features may have these attributes: width waterway natural source blockage depth covered water name layer tunnel This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated January 2, 2020 | Dataset date: Jan 2, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('mobile_money_agent','bureau_de_change','bank','microfinance','atm','sacco','money_transfer','post_office') Features may have these attributes: source addr:full addr:city operator amenity network name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated January 2, 2020 | Dataset date: Jan 2, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: place IN ('isolated_dwelling','town','village','hamlet','city') Features may have these attributes: source population is_in place name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 90+ Downloads
    Updated January 2, 2020 | Dataset date: Jan 2, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: building IS NOT NULL Features may have these attributes: addr:housenumber office source addr:full addr:city building:materials addr:street name building building:levels This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated January 2, 2020 | Dataset date: Jan 2, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: healthcare IS NOT NULL OR amenity IN ('doctors','dentist','clinic','hospital','pharmacy') Features may have these attributes: source operator:type healthcare addr:full addr:city amenity healthcare:speciality capacity:persons name building This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated January 2, 2020 | Dataset date: Jan 2, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('kindergarten','school','college','university') OR building IN ('kindergarten','school','college','university') Features may have these attributes: source operator:type addr:full addr:city amenity capacity:persons name building This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 200+ Downloads
    Updated January 2, 2020 | Dataset date: Jan 2, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: highway IS NOT NULL Features may have these attributes: width layer smoothness oneway source lanes bridge highway name surface This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated January 2, 2020 | Dataset date: Jan 2, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity = 'ferry_terminal' OR building = 'ferry_terminal' OR port IS NOT NULL Features may have these attributes: source operator:type addr:full addr:city amenity name building port This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 70+ Downloads
    Updated December 31, 2019 | Dataset date: Jan 1, 2008-Dec 31, 2027
    This dataset updates: Live
    List of airports in Philippines, with latitude and longitude. Unverified community data from http://ourairports.com/countries/PH/
  • 50+ Downloads
    Updated December 31, 2019 | Dataset date: Dec 21, 2019
    This dataset updates: Every three months
    The dataset contains number of IDPs, families and their needs at sub national level with site coordinates.
  • 10+ Downloads
    Updated December 21, 2019 | Dataset date: Jun 8, 2017
    This dataset updates: As needed
    This dataset is an extraction of roads from OpenStreetMap data made by WFP following UNSDI-T standards. The data is updated in near-real time from OSM servers and include all latest updates. NOTE: this dataset doesn't include streets and pathways that have been published on a separate dataset (streets and pathways). More documentation on the whole process for extracting OpenStreetMap roads can be found here: http://geonode.wfp.org/documents/6823/download
  • 10+ Downloads
    Updated December 19, 2019 | Dataset date: Jan 1, 2015-Dec 31, 2022
    This dataset updates: As needed
    An area level classification was employed where the province was taken as the unit of analysis. The classification level of the worst off group that crosses the 20 percent threshold has determined the overall classification level of the province. The number and percentage of population under different levels are defined according to the IPC-Chronic Classification color codes. The confidence level of analysis is based on criteria for corroborating evidence for confidence categories: 3 stars being high, 2 stars being medium and 1 star being acceptable level of confidence. The interim population projection is based on the "2010 Census of Population and Housing" conducted by Philippine Statistics Authority. The 2010 Census-based national population projection utilized the Cohort-Component Method. This methodology is based on the fact that population change is a result of three demographic processes, namely: fertility, mortality and migration. Accordingly, the assumptions adopted take into account the future trends in fertility, mortality and migration. Growth rate method was used to estimate the population for the provinces. For round 1, the provincial estimates for 2015 derived by the growth rate method were adjusted to conform with the official national projected population counts.
  • 10+ Downloads
    Updated December 19, 2019 | Dataset date: Nov 30, 2019
    This dataset updates: Never
    This data is about the key figures of the severely affected areas on the 6.6 earthquake in Tulunan, Cotabato (North Cotabato).
  • 10+ Downloads
    Updated December 19, 2019 | Dataset date: Nov 30, 2019
    This dataset updates: As needed
    The data covers all registered Pantawid IP beneficiaries regardless of their program status. The Modified Conditional Cash Transfer Program (MCCT) is a sub-component of Pantawid Pamilyang Pilipino Program which is uses modified approach in implementing the CCT program for poor families including homeless, Indigenous People and Families in Need of Special Protection (FNSP).
  • Updated December 14, 2019 | Dataset date: Nov 21, 2018
    This dataset updates: As needed
    This layer contains information about the final classification resulting from the Integrated Context Analysis (ICA) run in the Philippines in 2014, showing the areas of convergence between recurrence of poverty incidence and propensity to natural shocks (floods, tropical storms, landslides and tree cover change).
  • Updated December 14, 2019 | Dataset date: Nov 21, 2018
    This dataset updates: As needed
    This layer contains information about the changes in tree cover density - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in the Philippines in 2014. Data source: Landsat Vegetation Continuous Fields (VCF), 2000-2010. It should be noted that, in absence of livelihood data, land cover was used as a proxy for rural livelihoods. The main indicator used for the analysis was the average provincial trend of tree cover change in the last ten years.
  • Updated December 14, 2019 | Dataset date: Nov 21, 2018
    This dataset updates: As needed
    This layer contains information about the recurrence of poverty incidence - by second-level administrative area - observed during the Integrated Context Analysis (ICA) run in the Philippines in 2014. Data sources: Philippines National Statistical Coordination Board (NSCB), 2006-2012. It should be noted that, in absence of national food security information, poverty data has been used as a proxy to food insecurity - assuming that families below the poverty line are likely to be food insecure. Also, in the Philippines official methodology, the poverty line may be viewed as the minimum income required to meet food requirements as well as non-food basic needs. The main indicator used for the analysis was the recurrence of poverty incidence, with a threshold set to 30% of the families to represent 1 out of 3 people below the poverty line.
  • Updated December 14, 2019 | Dataset date: Nov 21, 2018
    This dataset updates: As needed
    This layer contains information about the occurrence of tropical storms above Category 3 - according to the Saffir-Simpson scale and by second-level administrative area - used for the purposes of the Integrated Context Analysis (ICA) run in the Philippines in 2014. Data source: National Oceanic and Atmospheric Administration (NOAA) IBTrACS, 2002-2012. The main indicator used for the analysis was the number of times that a province was hit, in the time frame of interest, by a tropical storm above Category 3.
  • Updated December 14, 2019 | Dataset date: Nov 21, 2018
    This dataset updates: As needed
    This layer contains information about the estimated numbers of people living below the poverty line used for the purposes of the Integrated Context Analysis (ICA) run in the Philippines in 2014. Data source: Philippines National Statistical Coordination Board (NSCB), 2012.
  • Updated December 14, 2019 | Dataset date: Nov 21, 2018
    This dataset updates: As needed
    This layer contains information about the average landslide risk - by second-level administrative area - used for the purposes of the Integrated Context Analysis (ICA) run in the Philippines in 2014. Data source: National Household Targeting System and Mines and Geosciences Bureau. The main indicator used for the analysis was the average flandslide risk by barangay reaggregated by province level.
  • Updated December 14, 2019 | Dataset date: Nov 21, 2018
    This dataset updates: As needed
    This layer contains information about the average flood risk - by second-level administrative area - used for the purposes of the Integrated Context Analysis (ICA) run in the Philippines in 2014. Data source: National Household Targeting System and Mines and Geosciences Bureau. The main indicator used for the analysis was the average flood risk by barangay reaggregated by province level.
  • 40+ Downloads
    Updated December 13, 2019 | Dataset date: Jan 1, 2010-Dec 31, 2020
    This dataset updates: Every year
    This dataset shows the number of people in need(PiN), funds required and funds received by country and over the years, from 2011 to 2020.
  • 10+ Downloads
    Updated November 29, 2019 | Dataset date: Nov 29, 2019
    This dataset updates: Never
    A polygon of the Philippine Area of Responsibility (PAR) from PAGASA
  • 400+ Downloads
    Updated November 22, 2019 | Dataset date: Jan 1, 1960-Dec 31, 2026
    This dataset updates: Every year
    Contains data from the World Bank's data portal covering the following topics which also exist as individual datasets on HDX: Agriculture and Rural Development, Aid Effectiveness, Economy and Growth, Education, Energy and Mining, Environment, Financial Sector, Health, Infrastructure, Social Protection and Labor, Poverty, Private Sector, Public Sector, Science and Technology, Social Development, Urban Development, Gender, Climate Change, External Debt, Trade.
  • Updated November 21, 2019 | Dataset date: Jan 1, 2005-Dec 31, 2025
    This dataset updates: Live
    Information about persons of concern broken down by sex and age, as well as by location within the country of residence (where such information is available). Such data is available since 2000.