Updated
5 June 2020
| Dataset date: June 05, 2020-March 01, 2021
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).
REFERENCE YEAR: 2015
These CSV population statistics files are suitable for database or ArcGIS joins to the shapefiles found on HDX here.
Updated
17 February 2021
| Dataset date: November 16, 2020-November 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.
Updated
5 June 2020
| Dataset date: February 09, 2018-March 01, 2021
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.
Updated
3 February 2021
| Dataset date: March 25, 2020-March 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.
Updated
27 November 2020
| Dataset date: July 10, 2019-July 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/referenceshttps://psa.gov.ph/poverty-press-releases/technoteshttps://psa.gov.ph/poverty-press-releases/glossaryhttps://psa.gov.ph/sites/default/files/Technical%20Notes%20on%202015%20SAE.pdf
Updated
25 June 2019
| Dataset date: June 20, 2019-June 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.
Updated
16 August 2018
| Dataset date: July 31, 2013-July 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.
Updated
16 August 2018
| Dataset date: November 27, 2013-November 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)
Updated
16 August 2018
| Dataset date: December 31, 2013-December 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.
Updated
16 August 2018
| Dataset date: December 31, 2013-December 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
Updated
11 February 2020
| Dataset date: January 27, 2020-January 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.
Updated
5 March 2020
| Dataset date: January 23, 2020-January 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.
Updated
10 November 2019
| Dataset date: September 10, 2019-September 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.