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  • 20+ Downloads
    Updated July 21, 2019 | Dataset date: Jul 10, 2019
    This dataset updates: As needed
    This dataset has been generated by combining Philippine Standard Geographic Codes (PSGC) and poverty estimates from Philippine Statistics Authority (PSA).
  • 10+ 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.
  • 400+ Downloads
    Updated June 7, 2019 | Dataset date: Jun 7, 2019
    This dataset updates: Live
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Jun 9, 2017
    This dataset updates: Never
    This map illustrates the satellite-detected water extent in Maguindanao and Cotabato provinces, Phillipines. The UNITAR-UNOSAT analysis used a Sentinel-1 satellite image acquired on the 07 June 2017 and could observe areas with standing waters mainly affecting agricultural fields. Within the map extent, the UNITAR-UNOSAT analysis identified ~34,000 ha of those areas and ~127 km of potentially affected road mainly local roads. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 800+ Downloads
    Updated April 9, 2019 | Dataset date: Apr 5, 2019
    This dataset updates: As needed
    Typhoon Mangkhut (Ompong) Who does What Where (3W) matrix
  • 40+ Downloads
    Updated October 4, 2018 | Dataset date: Jul 20, 2018
    This dataset updates: Every six months
    This is a standing water (possible inundated/flooded areas) in tarlac, pampanga and parts of pangasinan Philippines due to several typhoons and habagat (July 2018). Data were processed using Sentinel 1A GRD data (July 20, 2018) to map out areas with standing water . Thanks to ESA Copernicus program for the Sentinel 1 data and Google for their cloud computing reource. This was processed in Google Earth Engine. For more detailed information, please contact michael.manalili@wfp.org or michaelandrew.manalili@gmail.com
  • 50+ Downloads
    Updated September 24, 2018 | Dataset date: Sep 19, 2018
    This dataset updates: Every year
    Generated in Google Earth Engine using Sentinel 1 A data.
  • 100+ Downloads
    Updated July 31, 2018 | Dataset date: Jul 1, 2017-Jul 31, 2017
    This dataset updates: Every year
    A radar interferogram of the Magnitude 6.5 earthquake that hit Ormoc City Leyte last 6 July 2017. Data were processed using 2 Sentinel C-band Synthetic Aperture Radar data (Repeat Pass)
  • 100+ Downloads
    Updated July 30, 2018 | Dataset date: Mar 24, 2014
    This dataset updates: Never
    This dataset was collected as a part of a follow-up monitoring exercise after an initial assessment of Shelter and WASH needs conducted in December 2013. The purpose of this monitoring assessment was to determine the extent of shelter and WASH assistance, namely what has been provided to beneficiaries and to assess whether there were people that had not received assistance. With a focus on measuring recovery trends, the assessment aims to understand whether households are building back better and to understand beneficiary satisfaction with assistance received and awareness of recovery practices. The assessment is also intended to inform identification and targeting of key vulnerable groups. The assessment was conducted by REACH as part of its partnership with the Global Shelter Cluster. In the Philippines, the shelter cluster is led by the Department of Social Welfare and Development (DSWD) and supported by the International Federation of the Red Cross and Red Crescent Societies (IFRC) and the International Organisation for Migration (IOM) as cluster leads. The WASH Cluster Rapid Assessment Team (RAT) provided the assessment with technical and logistical support both remotely and directly in the field in collaboration with the Shelter Cluster.
  • 100+ Downloads
    Updated July 30, 2018 | Dataset date: Dec 30, 2013
    This dataset updates: Never
    Household-level dataset for the Shelter Cluster Needs Assessment Baseline (December 2013) following Typhoon Haiyan in the Philippines.
  • 100+ Downloads
    Updated June 20, 2018 | Dataset date: Jan 1, 2012-Dec 31, 2016
    This dataset updates: Every year
    A collection of the strongest typhoon (tracks and windspeed) data for the Philippines with category levels 4 and 5. Data were scrapped from http://weather.unisys.com/.
  • 100+ Downloads
    Updated June 9, 2016 | Dataset date: Jul 30, 2014
    This dataset updates: Never
    This assessment was conducted as a follow-up monitoring exercise to the initial shelter and WASH needs assessment conducted in December 2013 and the first shelter and WASH response monitoring assessment in March 2014. The purpose was to understand remaining needs of the affected population, the differing needs of vulnerable groups and outcomes of the shelter sector response. There was a strong focus on assessing the extent to which households were living in safe and adequate dwellings based on shelter recover guidelines developed by the cluster. This information is critical for the humanitarian community and more specifically, the shelter sector, to understand gaps in current assistance, progress in reference to the Strategic Response Plan (SRP) and the extent to which the affected population is ready to move into the recovery phase. The assessment was conducted by REACH as part of its partnership with the Global Shelter Cluster. In the Philippines, the shelter cluster is led by the Department of Social Welfare and Development (DSWD) and supported by the International Federation of the Red Cross and Red Crescent Societies (IFRC) in natural disasters and the International Organisation for Migration (IOM) in conflict as cluster co-leads.
  • 400+ Downloads
    Updated November 24, 2015 | Dataset date: Jan 1, 2006-Jan 1, 2012
    This dataset updates: Never
    City and municipal-level poverty estimates for 2012, 2009, and 2006 2012 City and Municipal-Level Small Area Poverty Estimates Source: Philippine Statistics Authority, through a national government funded project on the generation of the 2012 small area estimates on poverty http://www.nscb.gov.ph/announce/2014/PSA-NSCB_2012MunCity_Pov.asp Note: Region V, Sorsogon, Bacon is in 2006 and 2009 data but not the 2012 data. According to Wikipedia, Sorgoson City was formed by merging the Bacon and Sorsogon towns. City and Municipal-Level Poverty Estimates; 2006 and 2009 Source: NSCB/World Bank/AusAID Project on the Generation of the 2006 and 2009 City and Municipal Level Poverty Estimates http://www.nscb.gov.ph/poverty/dataCharts.asp PDF download Note: The 2009 city and municipal level poverty estimates for ARMM were revised to reflect on the movement/creation of municipalities and barangays which were not considered in the preliminary estimation of the 2009 city and municipal level poverty estimates published in the NSCB website last 03 August 2013. Column Header / Description Prelim_*year / Preliminary (indicated by "TRUE" or "FALSE")* Pov_*year / Poverty Incidence* SE_*year / Standard Error* CoV_*year / Coefficient of Variation* Con_90lower_*year / 90% Confidence Interval Lower Limit* Con_90upper_*year / 90% Confidence Interval Upper Limit*
  • 10+ Downloads
    Updated November 24, 2015 | Dataset date: Dec 1, 2014-Dec 10, 2014
    This dataset updates: Never
  • 300+ Downloads
    Updated November 24, 2015 | Dataset date: Jan 1, 2009
    This dataset updates: Never
    City and Municipal-level Small Area Poverty Estimates, 2009
  • 200+ Downloads
    Updated November 24, 2015 | Dataset date: Dec 6, 2014
    This dataset updates: Never