OCHA Philippines
Last updated on November 27, 2020
Interactive Data
Mindanao Displacement Dashboard Data
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  • 400+ Downloads
    Updated November 27, 2020 | Dataset date: Jul 10, 2019
    This dataset updates: As needed
    Based on Republic Act 8425, otherwise known as Social Reform and Poverty Alleviation Act, dated 11 December 1997, the poor refers to individuals and families whose income fall below the poverty threshold as defined by the government and/or those that cannot afford in a sustained manner to provide their basic needs of food, health, education, housing and other amenities of life. It may be estimated in terms of percentages (poverty incidence) and total number of poor families (magnitude of poor families). Also, this dataset has been generated by combining Philippine Standard Geographic Codes (PSGC) and poverty estimates from Philippine Statistics Authority (PSA). For more details, please refer to the following documents: https://psa.gov.ph/poverty-press-releases/references https://psa.gov.ph/poverty-press-releases/technotes https://psa.gov.ph/poverty-press-releases/glossary https://psa.gov.ph/sites/default/files/Technical%20Notes%20on%202015%20SAE.pdf
  • 100+ Downloads
    Updated June 25, 2019 | Dataset date: Jun 20, 2019
    This dataset updates: As needed
    Shapefile (WGS 84) of thirty-three lakes of the Philippines with corresponding local name, based on the country shapefile from the Philippine Statistics Authority.
  • 17000+ Downloads
    Updated June 5, 2020 | Dataset date: Feb 9, 2018
    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 this page. These shapefiles are suitable for database or ArcGIS joins to the sex and age disaggregated population statistics found on HDX here.
  • 90+ Downloads
    Updated August 16, 2018 | Dataset date: Jul 31, 2013
    This dataset updates: Every year
    This data provides information on the households under the 4P (Pantawid Pamilyang Pilipino Program) - a conditional cash transfer scheme run by the government of the Philippines. All personally information on individuals has been removed.
  • 500+ Downloads
    Updated August 16, 2018 | Dataset date: Nov 7, 2013
    This dataset updates: Every year
    Typhoon Haiyan Storm Path and storm timeline
  • 100+ Downloads
    Updated August 16, 2018 | Dataset date: Nov 27, 2013
    This dataset updates: Every year
    The dataset used the list of affected municipalities based on DSWD DROMIC to identify affected barangays by Typhoon Haiyan/Yolanda. It contains the list of barangays within affected municipalities based on DSWD DROMIC (Typhoon Haiyan/Yolanda)
  • 90+ Downloads
    Updated August 16, 2018 | Dataset date: Dec 31, 2013
    This dataset updates: Every year
    Region VI Households under the 4P This data provides information on the households under the 4P (Pantawid Pamilyang Pilipino Program) - a conditional cash transfer scheme run by the government of the Philippines.
  • 400+ Downloads
    Updated August 16, 2018 | Dataset date: Dec 31, 2013
    This dataset updates: Every year
    Regional (4-B, 6, 7, 8) Households under the 4P This data provides information on the households under the 4P (Pantawid Pamilyang Pilipino Program) - a conditional cash transfer scheme run by the government of the Philippines. All personally information on individuals has been removed. Data has been aggregated at the household level. For each household in the database, the geographic information is provided as is data on the approximate income of the the household, whether they are identified as "poor" and whether or not they are receiving 4P assistance. Data for Region 4-B, 6, 7 is from 1 Jan 2014, Data for Region 8 is from 1 Aug 2013
  • 50+ Downloads
    Updated November 17, 2020 | Dataset date: Nov 16, 2020
    This dataset updates: As needed
    This data is about the humanitarian interventions of local/international organizations, faith based organizations, government, private sectors, UN agencies, and Red Cross in the areas affected by the typhoons.
  • 700+ Downloads
    Updated October 16, 2020 | Dataset date: Mar 16, 2020
    This dataset updates: As needed
    This data is about the Risk Communication and Community Engagement on COVID-19 related humanitarian activities in the Philippines.
  • 700+ Downloads
    Updated October 16, 2020 | Dataset date: Mar 25, 2020
    This dataset updates: As needed
    This data is about the humanitarian activities by civil society organizations, clusters/sectors, government, private organizations, UN agencies and Red Cross related to COVID-19.
  • 12000+ Downloads
    Updated March 4, 2020 | Dataset date: Feb 12, 2019
    This dataset updates: As needed
    Who What Where of Humanitarian actors/activities in Marawi Conflict as of 9 August 2019
  • 5500+ Downloads
    Updated June 5, 2020 | Dataset date: Jun 5, 2020
    This dataset updates: Every year
    Sex and age disaggregated population data by various administrative levels (1 to 4) based on 2015 Census with Philippines Standard Geographic Code (PSGC). These CSV population statistics files are suitable for database or ArcGIS joins to the shapefiles found on HDX here.
  • Updated June 9, 2020 | Dataset date: May 28, 2020
    This data is by request only
    Philippines COVID-19 Rapid Information, Communication, and Accountability Assessment (RICAA) for Metro Manila and Other Regions
  • 100+ Downloads
    Updated February 11, 2020 | Dataset date: Jan 27, 2020
    This dataset updates: As needed
    This data is about the completed, ongoing and planned humanitarian activities related to the Taal volcano eruption by the government, civil society organizations, clusters, Red Cross, UN agencies and private individuals to people displaced in the evacuation centres.
  • 200+ Downloads
    Updated March 5, 2020 | Dataset date: Jan 23, 2020
    This dataset updates: As needed
    A series of earthquakes occured in provinces of Cotabato (North Cotabato) and Davao del Sur, between 16 and 31 October and December 2019, respectively. These earthquakes caused significant displacement, loss of lives and extensive damage to properties and infrastructure. This data is reflects the humanitarian activities done by the government, civil society organizations, Red Cross, and UN agencies to the affected population.
  • 1500+ Downloads
    Updated November 10, 2019 | Dataset date: Apr 5, 2019
    This dataset updates: As needed
    Typhoon Mangkhut (Ompong) Who does What Where (3W) matrix
  • 4600+ Downloads
    Updated November 10, 2019 | Dataset date: Sep 1, 2015
    This dataset updates: Never
    This datasets contains a collection of pre-disaster indicators for the Philippines.
  • 400+ Downloads
    Updated November 10, 2019 | Dataset date: Sep 10, 2019
    This dataset updates: As needed
    Simultaneous law enforcement operations of the Armed Forces of the Philippines against non-state armed groups are reported in the provinces of Maguindanao, Lanao del Sur and Sulu since the first half of March 2019. The “Who What Where” or 3W, is vital for efficient coordination. It maintains updated information on WHO (which organizations) are doing WHAT (which activities), WHERE (in which locations) to help coordination of relief efforts to meet the immediate needs of those affected by the conflict. Such information can help to alleviate duplications, identify possible gaps, better inform decision makers, and allow everyone to ask better questions.
  • 300+ Downloads
    Updated November 10, 2019 | Dataset date: Jun 29, 2017
    This dataset updates: Never
    Number of IDPs affected by Marawi Conflict by municipality
  • 200+ Downloads
    Updated November 10, 2019 | Dataset date: Jan 11, 2018
    This dataset updates: Every month
    Tropical Storm Tembin (Vinta) Who What Where
  • 100+ Downloads
    Updated November 19, 2019 | Dataset date: Oct 4, 2019
    This dataset updates: As needed
    This data is about the population projections using the results of the 2015 Census of Population.
  • 50+ Downloads
    Updated December 27, 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).
  • 200+ Downloads
    Updated November 10, 2019 | Dataset date: Mar 1, 2019
    This dataset updates: As needed
    The data is coming from Philippines Institute of Volcanology and Seismology (DOST-PHIVOLCS). It was also available in here: https://gisweb.phivolcs.dost.gov.ph/phivolcs_hazardmaps/?fbclid=IwAR1QpGFhkVl07XTCIEMtpBOG3v4jWV05v_1QhYPNyF2_1n0NsjY3do8TiZk by region.
  • 100+ Downloads
    Updated November 10, 2019 | Dataset date: May 31, 2017-Dec 31, 2018
    This dataset updates: As needed
    Marawi Conflict IDP and returned figures by month and region from May 2017- present. Data from Task Force Bangon Marawi Regional Subcommittee on Health and Social Welfare.