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  • 100+ Downloads
    Updated 28 March 2022 | Dataset date: March 07, 2022-August 13, 2022
    This dataset updates: Every six months
    This document is compiled by the Information Management team in the Global Health Cluster Unit GHCU, and aims to compile the figures relevant to Humanitarian Health response at global levels. The information is compiled from the last available data in public validated sources. See detailed info below. The data is mostly compiled from HRP and follows the structure of the Global Humanitarian Overview. For any ideas, updates, or corrections please contact Luis Hernando AGUILAR R (aguilarl@who.int) GHCU-IM team-lead. The data used as populations, names, and other designations are used only as a reference and do not imply any endorsement. The compilation is made by the Global Health Cluster IM team and it is expected to be updated. Not all the fields are available in the reviewed documents and it is expected to be complemented. Please see the version control table in the document
  • 200+ Downloads
    Updated 22 March 2022 | Dataset date: January 01, 2020-February 28, 2022
    This dataset updates: As needed
    These datasets comprise publicly reported cases of sexual violence by law enforcement bodies, conflict related sexual violence, and sexual violence that targets IDPs / refugees or vulnerable beneficiaries from information available in local, national and international news outlets and online databases. Dataset for South Sudan currently available. Other datasets covering the DRC, Ethiopia, Nigeria and South Sudan will soon be available.
  • 700+ Downloads
    Updated 15 March 2022 | Dataset date: September 30, 2021-September 30, 2021
    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 2010 to 2021. PIN figures for 2022 are available in this dataset: Interagency Response Plans in 2022
  • Updated 18 February 2022 | Dataset date: December 30, 2021-December 30, 2021
    This dataset updates: Never
    UNOSAT code: TC20211216PHL This map illustrates potentially damaged structures and buildings in Jimalalud and La Libertad municipalities, Negros Oriental province, Region VII (Central Visayas), Philippines as observed from a Pleiades image acquired on 22 December 2021. Within the analyzed area, UNOSAT identified 566 damaged structures and 154 potentially damaged structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated 18 February 2022 | Dataset date: December 29, 2021-December 29, 2021
    This dataset updates: Never
    UNOSAT code: TC20211216PHL This map illustrates potentially damaged structures and buildings in City of Carcar and San Fernando municipalities, Cebu province, Region VII (Central Visayas), Philippines as observed from a Pleiades image acquired on 23 December 2021 & a GeoEye-1 image acquired on 20 December 2021. Within the analyzed area, UNOSAT identified 1929 damaged structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated 18 February 2022 | Dataset date: December 23, 2021-December 23, 2021
    This dataset updates: Never
    UNOSAT code: TC20211216PHL This map illustrates potentially damaged structures/buildings in Roxas town, Palawan province, Region IV-B (Mimaropa) of Philippines as observed from a Pleiades image acquired on 21 December 2021 after landfall of the Tropical Cyclone RAI-21. Within the analysis extent, UNITAR-UNOSAT identified 280 damaged structures and 265 potentially damaged structures including Roxas Medicare Hospital and 6 potentially damaged education facilities. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • Updated 18 February 2022 | Dataset date: December 23, 2021-December 23, 2021
    This dataset updates: Never
    UNOSAT code: TC20211216PHL This map illustrates potentially damaged structures/buildings in Bucas Grande Island, Socorro, Surigao del Norte of Philippines as detected by WorldView-3 image acquired on 17 December 2021. Within the analyzed area, UNOSAT has identified 351 damaged structures, 129 potentially damaged structures, 5 road obstacles and 1 destroyed bridge. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Updated 18 February 2022 | Dataset date: December 23, 2021-December 23, 2021
    This dataset updates: Never
    UNOSAT code: TC20211216PHL This map illustrates potentially damaged structures and buildings in City of Talisay, Cebu province, Region VII (Central Visayas), Philippines as observed from a GeoEye-1 image acquired on 20 December 2021 & a Pleiades image acquired on 21 December 2021. Within the analyzed area, UNOSAT identified 483 damaged structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated 18 February 2022 | Dataset date: December 27, 2021-December 27, 2021
    This dataset updates: Never
    UNOSAT code: TC20211216PHL This map illustrates potentially damaged structures/buildings in Siargao Island, General Luna, Surigao del Norte of Philippines as detected by Pleiades image acquired on 26 December 2021 and WorldView-3 acquired on 23 December 2021. Within the analyzed area, UNOSAT has identified 1,769 damaged structures, 380 potentially damaged structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • 4800+ Downloads
    Updated 16 February 2022 | Dataset date: January 01, 2019-December 31, 2021
    This dataset updates: As needed
    This page provides the data published in the Attacks on Health Care Monthly News Brief. For data supporting the Safeguarding Health in Conflict Coalition (SHCC), please see: https://data.humdata.org/dataset/shcchealthcare-dataset These datasets covers events where health workers were killed, kidnapped or arrested (KKA) and incidents where health facilities were damaged or destroyed by a perpetrator including state and non-state actors, criminals, individuals, students and other staff members in 2019 and in 2020 to date. All data contains incidents identified in open sources. Categorized by country and with links to relevant Monthly News Brief.
  • Updated 16 February 2022 | Dataset date: January 14, 2022-January 14, 2022
    This dataset updates: Never
    UNOSAT code: TC20211216PHL A category 5 Tropical Cyclone RAI-21 struck the Philippines on the 16th of December 2021, causing damage, devastation, and destruction. The Tropical Cyclone RAI-21 made landfall north of General Luna city on Siargao Island, the easternmost island of the Philippines, and continued westward through the central part of the country. The Philippines National Disaster Risk Reduction and Management Council (NDRRMC) has stated that 2,182,791 families have been affected in 11 out of 17 regions of the Philippines. About 3M people, ~ 30% of the affected area population – need emergency humanitarian assistance. According to OCHA, the death toll has reached 177 persons, with more than 275 persons injured and 630,000 displaced. More than 159,000 houses have been damaged, 61,900 have been destroyed. These figures are likely to rise as the after-effects of the Tropical Cyclone are fully realized. Preliminary assessment has shown devastating damage to houses, roads, and bridges disrupting aid movement into the affected areas. This report summarizes satellite-derived building damage analysis covering the most affected areas within Region IV-B (Mimaropa), Region VII (Central Visayas), Region VIII (Eastern Visayas), and Region XIII (Caraga) of the Philippines.
  • Updated 16 February 2022 | Dataset date: January 07, 2022-January 07, 2022
    This dataset updates: Never
    UNOSAT code: TC20211216PHL This map illustrates potentially damaged structures and buildings in Dinagat Island, Region XIII, the Philippines as observed from a Pleiades image acquired on 23 December 2021. Within the analyzed area, UNOSAT and Copernicus EMS identified 3,278 damaged structures, 523 potentially damaged structures, and 3 potentially damaged ports. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated 16 February 2022 | Dataset date: January 07, 2022-January 07, 2022
    This dataset updates: Never
    UNOSAT code: TC20211216PHL This map illustrates potentially damaged structures and buildings in City of Naga & Minglanilla municipalities, Cebu province, Region VII (Central Visayas), Philippines as observed from a Pleiades image acquired on 21 December 2021. Within the analyzed area, UNOSAT identified 876 damaged structures and 1,361 potentially damaged structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated 16 February 2022 | Dataset date: January 06, 2022-January 06, 2022
    This dataset updates: Never
    UNOSAT code: TC20211216PHL This map illustrates potentially damaged structures and buildings in Talibon municipality, Bohol province, Region VII (Central Visayas), Philippines as observed from a Pleiades image acquired on 23 December 2021. Within the analyzed area, UNOSAT identified 3,103 damaged structures and 933 potentially damaged structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated 16 February 2022 | Dataset date: January 05, 2022-January 05, 2022
    This dataset updates: Never
    UNOSAT code: TC20211216PHL This map illustrates potentially damaged structures and buildings in Bien Unido, Trinidad and Ubay municipalities, Bohol province, Region VII (Central Visayas), Philippines as observed from a Pleiades image acquired on 23 December 2021. Within the analyzed area, UNOSAT identified 2,225 damaged structures and 888 potentially damaged structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated 16 February 2022 | Dataset date: January 05, 2022-January 05, 2022
    This dataset updates: Never
    UNOSAT code: TC20211216PHL This map illustrates potentially damaged structures and buildings in ubay municipality, Bohol province, Region VII (Central Visayas), Philippines as observed from a Pleiades image acquired on 23 December 2021. Within the analyzed area, UNOSAT identified 1,751 damaged structures and 220 potentially damaged structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 6100+ Downloads
    Updated 15 February 2022 | Dataset date: January 01, 2017-December 31, 2021
    This dataset updates: As needed
    This page provides the data published in the Education in Danger Monthly News Brief. All data contains incidents identified in open sources. Categorized by country and with link to the relevant Monthly News Brief (where possible).
  • 15000+ Downloads
    Updated 11 February 2022 | Dataset date: April 01, 2021-August 13, 2022
    This dataset updates: As needed
    The Relative Wealth Index predicts the relative standard of living within countries using de-identified connectivity data, satellite imagery and other nontraditional data sources. The data is provided for 93 low and middle-income countries at 2.4km resolution. Please cite / attribute any use of this dataset using the following: Microestimates of wealth for all low- and middle-income countries Guanghua Chi, Han Fang, Sourav Chatterjee, Joshua E. Blumenstock Proceedings of the National Academy of Sciences Jan 2022, 119 (3) e2113658119; DOI: 10.1073/pnas.2113658119 More details are available here: https://dataforgood.fb.com/tools/relative-wealth-index/ Research publication for the Relative Wealth Index is available here: https://www.pnas.org/content/119/3/e2113658119 Press coverage of the release of the Relative Wealth Index here: https://www.fastcompany.com/90625436/these-new-poverty-maps-could-reshape-how-we-deliver-humanitarian-aid An interactive map of the Relative Wealth Index is available here: http://beta.povertymaps.net/
  • 3200+ Downloads
    Updated 14 January 2022 | Dataset date: September 21, 2020-September 21, 2020
    This dataset updates: Every year
    This data contains aggregated weighted statistics at the regional level by gender for the 2020 Survey on Gender Equality At Home as well as the country and regional level for the 2021 wave. The Survey on Gender Equality at Home generates a global snapshot of women and men’s access to resources, their time spent on unpaid care work, and their attitudes about equality. Researchers and nonprofits interested in access to survey microdata can apply at: https://dataforgood.facebook.com/dfg/tools/survey-on-gender-equality-at-home
  • 29000+ Downloads
    Updated 24 December 2021 | Dataset date: February 09, 2018-August 13, 2022
    This dataset updates: Every year
    Philippines administrative levels: (0) Country (1) Region (Filipino: rehiyon) (2) Provinces (Filipino: lalawigan, probinsiya) and independent cities (Filipino: lungsod, siyudad/ciudad, dakbayan, lakanbalen) (3) Municipalities (Filipino: bayan, balen, bungto, banwa, ili) and component cities (Filipino: lungsod, siyudad/ciudad, dakbayan, dakbanwa, lakanbalen) The original datasets were derived from the boundaries of the Barangays as observed at the end of April 2016 as per the Philippine Geographic Standard Code (PSGC) dataset. It has been generated on the basis of the layer created by the Philippine Statistics Authority (PSA) in the context of the 2015 population census. Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. OCHA acknowledges PSA and the National Mapping and Resource Information Authority (NAMRIA) as the sources. LMB is the source of official administrative boundaries of the Philippines. In the absence of available official administrative boundary, the IMTWG have agreed to clean and use the PSA administrative boundaries which are used to facilitate data collection of surveys and censuses. The dataset can only be considered as indicative boundaries and not official. For administrative level 4 (Barangay) please contact the contributor (OCHA Philippines) via the 'Contact the contributor' button near the top of this page. These shapefiles are suitable for database or ArcGIS joins to the Philippines - Subnational Population Statistics.
  • 30+ Downloads
    Updated 23 December 2021 | Dataset date: December 23, 2021-August 13, 2022
    This dataset updates: Every year
    Point shapefile of capital cities of Philippines administrative level 2 features. Excludes the four districts of the National Capital Region. P-coded in accordance with their administrative 2 feature.
  • 19000+ Downloads
    Updated 15 December 2021 | Dataset date: October 13, 2021-October 13, 2021
    This dataset updates: As needed
    We use an anonymized snapshot of all active Facebook users and their friendship networks to measure the intensity of connectedness between locations. The Social Connectedness Index (SCI) is a measure of the social connectedness between different geographies. Specifically, it measures the relative probability that two individuals across two locations are friends with each other on Facebook. Details on the underlying data and the construction of the index are provided in the “Facebook Social Connectedness Index - Data Notes.pdf” file. Please also see https://dataforgood.fb.com/ as well as the associated research paper “Social Connectedness: Measurement, Determinants and Effects,” published in the Journal of Economic Perspectives (https://www.aeaweb.org/articles?id=10.1257/jep.32.3.259). Region identifiers are taken from GADM v2.8 https://gadm.org/download_country_v2.html. Future versions will update IDs to be compatible with the newest GADM version.
  • 200+ Downloads
    Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    This dataset updates: Every year
    This table contains subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
  • 10+ Downloads
    Updated Live | Dataset date: January 01, 2019-August 13, 2022
    This dataset updates: Live
    Live list of active aid activities for Philippines shared via the International Aid Transparency Initiative (IATI). Includes both humanitarian and development activities. More information on each activity (including financial data) is available from http://www.d-portal.org
  • 80+ Downloads
    Updated 9 November 2021 | Dataset date: March 01, 2021-July 01, 2025
    This dataset updates: As needed
    This data is about the Philippines population projection count 2020 to 2025 by city/municipality (admin3) based on 2015 Census