Data Grid Completeness
14/27 Core Data 24 Datasets 8 Organisations Show legend
What is Data Grid Completeness?
Data Grid 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 Grid 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)
Food Security & Nutrition
2 Datasets
Global Acute Malnutrition Rate
Severe Acute Malnutrition Rate
Food Prices
WFP - World Food Programme
Geography & Infrastructure
7 Datasets
Administrative Divisions
Populated Places
Roads
Humanitarian OpenStreetMap Team (HOT)
Humanitarian OpenStreetMap Team (HOT)
Population & Socio-economy
2 Datasets
Baseline Population
Baseline Population by Age & Sex
Poverty Rate
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  • 5400+ Downloads
    Updated August 4, 2020 | Dataset date: Aug 4, 2020
    This dataset updates: Every day
    FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
  • 50+ Downloads
    Updated January 27, 2020 | 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 April 17, 2020 | Dataset date: Jan 1, 2006-Dec 31, 2012
    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. Original dataset title: ICA Philippines, 2014 - Recurrence of Poverty Incidence, 2006-2012
  • 10+ Downloads
    Updated April 17, 2020 | Dataset date: Jan 1, 2012-Dec 31, 2012
    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. Original dataset title: ICA Philippines, 2014 - Estimated Numbers of People living below the Poverty Line, 2012
  • 10+ Downloads
    Updated April 17, 2020 | Dataset date: Jan 1, 2002-Dec 31, 2012
    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. Original dataset title: ICA Philippines, 2014 - Tropical Storm (above Category 3) Occurrence, 2002-2012
  • 20+ Downloads
    Updated April 17, 2020 | Dataset date: Jan 1, 2014-Dec 31, 2014
    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. Original dataset title: ICA Philippines, 2014 - Flood Risk, 2014
  • 10+ Downloads
    Updated April 17, 2020 | Dataset date: Jan 1, 2014-Dec 31, 2014
    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. Original dataset title: ICA Philippines, 2014 - Average Landslide Risk, 2014
  • 10+ Downloads
    Updated April 17, 2020 | Dataset date: Jan 1, 2000-Dec 31, 2010
    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. Original dataset title: ICA Philippines, 2014 - Tree Cover Change, 2000-2010
  • Updated April 17, 2020 | Dataset date: Jan 1, 2014-Dec 31, 2014
    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). Original dataset title: ICA Philippines, 2014 - ICA Categories & Focus Areas
  • 200+ Downloads
    Updated August 3, 2020 | Dataset date: Jan 1, 1989-Dec 31, 2018
    This dataset updates: Every month
    This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days. Sundberg, Ralph, and Erik Melander, 2013, “Introducing the UCDP Georeferenced Event Dataset”, Journal of Peace Research, vol.50, no.4, 523-532 Högbladh Stina, 2019, “UCDP GED Codebook version 19.1”, Department of Peace and Conflict Research, Uppsala University
  • 60+ Downloads
    Updated August 3, 2020 | Dataset date: Jul 31, 2020
    This dataset updates: Every day
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL Features may have these attributes: tourism man_made opening_hours beds addr:street source addr:city amenity rooms addr:housenumber shop addr:full name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 200+ Downloads
    Updated August 3, 2020 | Dataset date: Jul 31, 2020
    This dataset updates: Every day
    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 tunnel depth source covered waterway layer water blockage natural name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 100+ Downloads
    Updated August 3, 2020 | Dataset date: Jul 31, 2020
    This dataset updates: Every day
    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:street office source building:levels addr:city building:materials addr:housenumber addr:full name building This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 200+ Downloads
    Updated August 3, 2020 | Dataset date: Jul 31, 2020
    This dataset updates: Every day
    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: surface width source smoothness highway bridge oneway lanes layer name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 2800+ Downloads
    Updated August 3, 2020 | Dataset date: Mar 1, 2020-May 31, 2020
    This dataset updates: Every week
    This data includes movement changes measured by Facebook throughout March, April, and May 2020 starting from a baseline in February.
  • 8800+ Downloads
    Updated Live | Dataset date: Jan 18, 2020-Aug 3, 2020
    This dataset updates: Live
    'Our World in Data' is compiling COVID-19 testing data over time for many countries around the world. They are adding further data in the coming days as more details become available for other countries. In some cases figures refer to the number of tests, in other cases to the number of individuals who have been tested. Refer to documentation provided here.
  • 100+ Downloads
    Updated Live | Dataset date: Aug 3, 2020
    This dataset updates: Live
    Immunization campaigns impacted due to COVID-19
  • 272000+ Downloads
    Updated Live | Dataset date: Jan 22, 2020-Aug 2, 2020
    This dataset updates: Live
    Novel Corona Virus (COVID-19) epidemiological data since 22 January 2020. The data is compiled by the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) from various sources including the World Health Organization (WHO), DXY.cn, BNO News, National Health Commission of the People’s Republic of China (NHC), China CDC (CCDC), Hong Kong Department of Health, Macau Government, Taiwan CDC, US CDC, Government of Canada, Australia Government Department of Health, European Centre for Disease Prevention and Control (ECDC), Ministry of Health Singapore (MOH), and others. JHU CCSE maintains the data on the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository on Github. Fields available in the data include Province/State, Country/Region, Last Update, Confirmed, Suspected, Recovered, Deaths. On 23/03/2020, a new data structure was released. The current resources for the latest time series data are: time_series_covid19_confirmed_global.csv time_series_covid19_deaths_global.csv time_series_covid19_recovered_global.csv ---DEPRECATION WARNING--- The resources below ceased being updated on 22/03/2020 and were removed on 26/03/2020: time_series_19-covid-Confirmed.csv time_series_19-covid-Deaths.csv time_series_19-covid-Recovered.csv
  • 200+ Downloads
    Updated August 2, 2020 | Dataset date: Jan 1, 2000-Dec 31, 2019
    This dataset updates: Every year
    Food Security Indicators for Philippines. Contains data from the FAOSTAT bulk data service.
  • 100+ Downloads
    Updated August 2, 2020 | Dataset date: Jan 1, 1991-Dec 31, 2018
    This dataset updates: Every year
    Prices for Philippines. Contains data from the FAOSTAT bulk data service covering the following categories: Consumer Price Indices, Deflators, Exchange rates - Annual, Producer Prices
  • 7400+ Downloads
    Updated August 2, 2020 | Dataset date: Jan 1, 1990-Jul 15, 2020
    This dataset updates: Every week
    This dataset contains Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
  • 800+ Downloads
    Updated August 2, 2020 | Dataset date: Jan 15, 2000-May 15, 2020
    This dataset updates: Every week
    This dataset contains Food Prices data for Philippines. Food prices data comes from the World Food Programme and covers foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
  • 30+ Downloads
    Updated July 5, 2020 | Dataset date: Jul 31, 2020
    This dataset updates: Every day
    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:city amenity capacity:persons addr:full name building This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 20+ Downloads
    Updated July 5, 2020 | Dataset date: Jul 31, 2020
    This dataset updates: Every day
    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: population source place is_in name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 20+ Downloads
    Updated July 5, 2020 | Dataset date: Jul 31, 2020
    This dataset updates: Every day
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: railway IN ('rail','subway','station') Features may have these attributes: railway ele source operator:type addr:city layer addr:full name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.