15 datasets found
  1. W

    Philippines administrative level 0 (country), 1 (region), 2 (province), and...

    • cloud.csiss.gmu.edu
    • data.wu.ac.at
    csv, kml, kmz +3
    Updated Jun 18, 2019
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    UN Humanitarian Data Exchange (2019). Philippines administrative level 0 (country), 1 (region), 2 (province), and 3 (municipality) boundaries, points, and lines, shapefiles and live services [Dataset]. http://cloud.csiss.gmu.edu/dataset/caf116df-f984-4deb-85ca-41b349d3f313
    Explore at:
    zipped shapefile(204037), zipped shapefile(145720425), zipped shapefile(140313868), zipped shapefile(141598788), live service, kmz(77928), kml(129671719), xlsx(188322), zipped shapefile(149538908), kmz(139845073), kmz(374), zipped shapefile(139335705), csv(154689), kmz(378), kmz(380)Available download formats
    Dataset updated
    Jun 18, 2019
    Dataset provided by
    UN Humanitarian Data Exchange
    Area covered
    Philippines
    Description

    These datasets are 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. These datasets have been vetted by staff at The Carl Vinson Institute of Government's Office of Information Technology Outreach Services (ITOS) according to their COD assessment protocol found in the COD Technical Support Package (https://sites.google.com/site/commonoperationaldataset/geodata-preparation-manual/itos-process).
    Acknowledge PSA and NAMRIA as the sources. LMB is still 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. This COD replaces https://data.humdata.org/dataset/philippines-administrative-boundaries

    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)

    These shapefiles are suitable for database or ArcGIS joins to the sex and age disaggregated population statistics found on HDX here.

  2. w

    Philippines - Built Up Areas

    • data.wu.ac.at
    • data.amerigeoss.org
    zipped shapefile
    Updated Aug 16, 2018
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    OCHA Philippines (2018). Philippines - Built Up Areas [Dataset]. https://data.wu.ac.at/schema/data_humdata_org/ZjlmNTdmYmEtNDk5Mi00YTRkLWEwNGUtZGY1YjE0YzcxYzc4
    Explore at:
    zipped shapefile(21070130.0)Available download formats
    Dataset updated
    Aug 16, 2018
    Dataset provided by
    OCHA Philippines
    Area covered
    Philippines
    Description

    Built Up Areas in Philipines

  3. w

    Philippines - Land Cover

    • data.wu.ac.at
    zipped shapefile
    Updated Aug 16, 2018
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    OCHA Philippines (2018). Philippines - Land Cover [Dataset]. https://data.wu.ac.at/schema/data_humdata_org/MjlhMzc2MGYtMzE3MC00NTU1LWI1ZDctMWZiZDZjZmI1YTY5
    Explore at:
    zipped shapefile(22006127.0)Available download formats
    Dataset updated
    Aug 16, 2018
    Dataset provided by
    OCHA Philippines
    Description

    The dataset contains information on Land Cover . WGS 1984, Lat/Long

  4. Philippine Area of Responsibility (PAR) Polygon

    • cloud.csiss.gmu.edu
    zip
    Updated Nov 30, 2019
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    UN Humanitarian Data Exchange (2019). Philippine Area of Responsibility (PAR) Polygon [Dataset]. https://cloud.csiss.gmu.edu/uddi/gl/dataset/philippine-area-of-responsibility-par-polygon
    Explore at:
    zip(1629)Available download formats
    Dataset updated
    Nov 30, 2019
    Dataset provided by
    United Nationshttp://un.org/
    Area covered
    Philippines
    Description

    A polygon of the Philippine Area of Responsibility (PAR) from PAGASA

  5. H

    Philippines: WOF Administrative Subdivisions and Human Settlements

    • data.humdata.org
    shp
    Updated Jul 7, 2025
    + more versions
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    Who's On First (2025). Philippines: WOF Administrative Subdivisions and Human Settlements [Dataset]. https://data.humdata.org/dataset/whosonfirst-data-admin-phl
    Explore at:
    shpAvailable download formats
    Dataset updated
    Jul 7, 2025
    Dataset provided by
    Who's On First
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Philippines
    Description

    This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes:
    - macroregion (admin-1 including region)
    - region (admin-2 including state, province, department, governorate)
    - macrocounty (admin-3 including arrondissement)
    - county (admin-4 including prefecture, sub-prefecture, regency, canton, commune)
    - localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb)

    The dataset also contains human settlement points and polygons for:
    - localities (city, town, and village)
    - neighbourhoods (borough, macrohood, neighbourhood, microhood)

    The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the README.md file for complete data source metadata. Refer to our blog post for explanation of field names.

    Data corrections can be proposed using Write Field, an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.

  6. Administrative Boundaries Reference (view layer)

    • data-in-emergencies.fao.org
    Updated May 25, 2021
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    Food and Agriculture Organization of the United Nations (2021). Administrative Boundaries Reference (view layer) [Dataset]. https://data-in-emergencies.fao.org/maps/3596c3ad318849068eda21517ade30be
    Explore at:
    Dataset updated
    May 25, 2021
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    Authors
    Food and Agriculture Organization of the United Nations
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    The Administrative Boundaries used by the Data in Emergencies Hub are the result of a collection of international and subnational divisions currently used by FAO country offices for mapping and reporting purposes. With only a few exceptions, they are mostly derived from datasets published on The Humanitarian Data Exchange (OCHA).The dataset consists of national boundaries, first subdivision, and second subdivision for Sure! Here's the reformatted list as requested:

    Afghanistan, Angola, Bangladesh, Burkina Faso, Burundi, Cambodia, Cameroon, Central African Republic, Chad, Colombia, Comoros, Democratic Republic of the Congo, Ecuador, El Salvador, Federated States of Micronesia, Ghana, Guatemala, Haiti, Honduras, Iraq, Kingdom of Tonga, Kiribati, Kyrgyzstan, Lao People's Democratic Republic, Lebanon, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mozambique, Myanmar, Namibia, Nepal, Niger, Nigeria, Pakistan, Palestine, Philippines, Republic of the Marshall Islands, Saint Lucia, Samoa, Senegal, Sierra Leone, Solomon Islands, Somalia, South Sudan, Sri Lanka, Sudan, Suriname, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Togo, Tuvalu, Uganda, Ukraine, Venezuela, Vietnam, Yemen, and Zimbabwe.In the Feature Layer, the administrative boundaries are represented by closed polygons, administrative levels are nested and multiple distinct polygons are represented as a single record.The Data in Emergencies Hub team is responsible for keeping the layer up to date, so please report any possible errors or outdated information.The boundaries and names shown and the designations used on these map(s) do not imply the expression of any opinion whatsoever on the part of FAO concerning the legal status of any country, territory, city, or area or of its authorities, or concerning the delimitation of its frontiers and boundaries. Dashed lines on maps represent approximate border lines for which there may not yet be full agreement. The final boundary between the Sudan and South Sudan has not yet been determined. The final status of the Abyei area is not yet determined. The dotted line represents approximately the Line of Control in Jammu and Kashmir agreed upon by India and Pakistan. The final status of Jammu and Kashmir has not yet been agreed upon by the parties.

  7. w

    Philippines - Municipal boundaries of Typhoon Haiyan affected areas

    • data.wu.ac.at
    xlsx +1
    Updated Aug 16, 2018
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    OCHA Philippines (2018). Philippines - Municipal boundaries of Typhoon Haiyan affected areas [Dataset]. https://data.wu.ac.at/schema/data_humdata_org/NGNkOGViZTUtMTMyYi00MmMyLTk4YjYtYTI1NDY0MDZmMWFj
    Explore at:
    zipped shapefile(3341116.0), xlsx(34425.0)Available download formats
    Dataset updated
    Aug 16, 2018
    Dataset provided by
    OCHA Philippines
    Area covered
    Philippines
    Description

    The dataset shows the Municipal boundaries of affected areas with excel table listing the municipalities. The dataset is based on the report from the National Disaster Risk Reduction and Management Council (NDRRMC) situation reports

  8. T

    PHPMTC Philippine Piso Polygon - Currency Exchange Rate Live Price Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 26, 2022
    + more versions
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    TRADING ECONOMICS (2022). PHPMTC Philippine Piso Polygon - Currency Exchange Rate Live Price Chart [Dataset]. https://tradingeconomics.com/phpmtc:cur
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Jun 26, 2022
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Jul 30, 2025
    Area covered
    Philippines
    Description

    Prices for PHPMTC Philippine Piso Polygon including live quotes, historical charts and news. PHPMTC Philippine Piso Polygon was last updated by Trading Economics this July 30 of 2025.

  9. s

    Second-level Administrative Divisions, Philippines, 2015

    • searchworks.stanford.edu
    zip
    Updated May 8, 2024
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    (2024). Second-level Administrative Divisions, Philippines, 2015 [Dataset]. https://searchworks.stanford.edu/view/mw379pp5559
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 8, 2024
    Area covered
    Philippines
    Description

    This polygon shapefile contains the second-level administrative divisions of Philippines (adm2). Level 2 divisions include cities and municipalities. This layer is part of the Global Administrative Areas 2015 (v2.8) dataset.

  10. d

    Generalized Geology of Southeast Asia (geo3bl)

    • catalog.data.gov
    • data.usgs.gov
    • +4more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Generalized Geology of Southeast Asia (geo3bl) [Dataset]. https://catalog.data.gov/dataset/generalized-geology-of-southeast-asia-geo3bl
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    South East Asia, Asia
    Description

    This coverage includes arcs, polygons, and polygon labels that describe the generalized geologic age and type of surface outcrops of bedrock of Southeast Asia (Brunei, Indonesia, Cambodia, Laos, Malaysia, Papua New Guinea, Philippines, Singapore, Solomon Islands and Vietnam; and portions of Australia, China and Taiwan). It also includes shorelines and inland water bodies.

  11. Water Body Checklists 2019: Philippine Sea Species List

    • zenodo.org
    • explore.openaire.eu
    application/gzip
    Updated Feb 13, 2025
    + more versions
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    Encyclopedia of Life; Encyclopedia of Life (2025). Water Body Checklists 2019: Philippine Sea Species List [Dataset]. http://doi.org/10.5281/zenodo.13319970
    Explore at:
    application/gzipAvailable download formats
    Dataset updated
    Feb 13, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Encyclopedia of Life; Encyclopedia of Life
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jul 29, 2019
    Area covered
    Philippine Sea, Philippines
    Description

    Species checklists created using effechecka and modified polygons from IHO. The polygons were reduced in resolution.

    List of species collected from the Philippine Sea using effechecka and a modified polygon from the International Hydrographic Association. A filter was applied (based on data from WoRMS) to remove all non-marine taxa.

  12. Reference Admin 3 (view layer)

    • data-in-emergencies.fao.org
    Updated Jul 13, 2021
    + more versions
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    Food and Agriculture Organization of the United Nations (2021). Reference Admin 3 (view layer) [Dataset]. https://data-in-emergencies.fao.org/datasets/reference-admin-3-view-layer
    Explore at:
    Dataset updated
    Jul 13, 2021
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    Authors
    Food and Agriculture Organization of the United Nations
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Admin3 boundaries (national divisions) The Administrative Boundaries used by the Data in Emergencies Hub are the result of a collection of international and subnational divisions currently used by FAO country offices for mapping and reporting purposes. With only a few exceptions, they are mostly derived from datasets published on The Humanitarian Data Exchange (OCHA). The dataset consists of national boundaries, first subdivision and second subdivision for Bangladesh, Madagascar, Mali, Philippines, Senegal, Sri Lanka, Tchad, Uganda and Ukraine.In the Feature Layer, the administrative boundaries are represented by closed polygons, administrative levels are nested and multiple distinct polygons are represented as a single record. The Data in Emergencies Hub team is responsible for keeping the layer up to date, so please report any possible errors or outdated information. The boundaries and names shown and the designations used on these map(s) do not imply the expression of any opinion whatsoever on the part of FAO concerning the legal status of any country, territory, city, or area or of its authorities, or concerning the delimitation of its frontiers and boundaries. Dashed lines on maps represent approximate border lines for which there may not yet be full agreement. The final boundary between the Sudan and South Sudan has not yet been determined. The final status of the Abyei area is not yet determined. The dotted line represents approximately the Line of Control in Jammu and Kashmir agreed upon by India and Pakistan. The final status of Jammu and Kashmir has not yet been agreed upon by the parties.

  13. Reference Admin 0

    • data-in-emergencies.fao.org
    • data-in-emergencies-hqfao.hub.arcgis.com
    Updated May 25, 2021
    + more versions
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    Food and Agriculture Organization of the United Nations (2021). Reference Admin 0 [Dataset]. https://data-in-emergencies.fao.org/maps/hqfao::reference-admin-0-1
    Explore at:
    Dataset updated
    May 25, 2021
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    Authors
    Food and Agriculture Organization of the United Nations
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description
    Admin0 boundaries (national divisions)

    The Administrative Boundaries used by the Data in Emergencies Hub are the result of a collection of international and subnational divisions currently used by FAO country offices for mapping and reporting purposes. With only a few exceptions, they are mostly derived from datasets published on The Humanitarian Data Exchange (OCHA).

    The dataset consists of national boundaries for Afghanistan, Angola, Bangladesh, Benin, Burkina Faso, Burundi, Cambodia, Cameroon, Central African Republic, Chad, Colombia, Comoros, Democratic Republic of the Congo, Democratic People's Republic of Korea, East Timor, Ecuador, El Salvador, Ethiopia, Federated States of Micronesia, Ghana, Grenada, Guatemala, Haiti, Honduras, Iraq, Kingdom of Tonga, Kiribati, Kyrgyzstan, Lao People's Democratic Republic, Lebanon, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mozambique, Myanmar, Namibia, Nauru, Nepal, Niger, Nigeria, Pakistan, Palestine, Philippines, Republic of the Marshall Islands, Saint Lucia, Saint Vincent and the Grenadines, Samoa, Senegal, Sierra Leone, Solomon Islands, Somalia, South Sudan, Sri Lanka, Sudan, Suriname, Syrian Arab Republic, Tajikistan, Thailand, Togo, Tuvalu, Uganda, Ukraine, Vanuatu, Venezuela, Vietnam, Yemen, and Zimbabwe.

    In the Feature Layer, the administrative boundaries are represented by closed polygons, administrative levels are nested and multiple distinct polygons are represented as a single record. The Data in Emergencies Hub team is responsible for keeping the layer up to date, so please report any possible errors or outdated information. The designations employed and presentation of material in this dataset to not imply the expression of any opinion whatsoever of FAO concerning the legal or constitutional status of any country, territory or sea area, or concerning the delimitations of frontiers.
  14. National Checklists 2017: Philippines Species List

    • zenodo.org
    zip
    Updated Feb 11, 2025
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    Anne Thessen; Anne Thessen (2025). National Checklists 2017: Philippines Species List [Dataset]. http://doi.org/10.5281/zenodo.13313184
    Explore at:
    zipAvailable download formats
    Dataset updated
    Feb 11, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Anne Thessen; Anne Thessen
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    Nov 28, 2017
    Area covered
    Philippines
    Description

    Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See

    https://github.com/diatomsRcool/checklists for details

    A list of species from Philippines collected using effechecka and geonames polygons

  15. d

    Geologic Provinces of Southeast Asia, 2000 (prv3bl).

    • datadiscoverystudio.org
    • data.usgs.gov
    • +5more
    html, zip
    Updated May 20, 2018
    + more versions
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    (2018). Geologic Provinces of Southeast Asia, 2000 (prv3bl). [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/13f20dfc181441468a3db08ed15f3ecf/html
    Explore at:
    zip, htmlAvailable download formats
    Dataset updated
    May 20, 2018
    Description

    description: This coverage includes arcs, polygons and polygon labels that describe U.S. Geological Survey defined geologic provinces of Southeast Asia (Brunei, Indonesia, Cambodia, Laos, Malaysia, Papua New Guinea, Philippines, Singapore, Thailand and Vietnam; and parts of Australia, China and Taiwan). Each province has a set of geologic characteristics distinguishing it from surrounding provinces. These characteristics may include the dominant lithologies, the age of the strata, and the structural style. Some provinces include multiple genetically-related basins. Offshore province boundaries are defined by the 2000 meter bathymetric contour.; abstract: This coverage includes arcs, polygons and polygon labels that describe U.S. Geological Survey defined geologic provinces of Southeast Asia (Brunei, Indonesia, Cambodia, Laos, Malaysia, Papua New Guinea, Philippines, Singapore, Thailand and Vietnam; and parts of Australia, China and Taiwan). Each province has a set of geologic characteristics distinguishing it from surrounding provinces. These characteristics may include the dominant lithologies, the age of the strata, and the structural style. Some provinces include multiple genetically-related basins. Offshore province boundaries are defined by the 2000 meter bathymetric contour.

  16. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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UN Humanitarian Data Exchange (2019). Philippines administrative level 0 (country), 1 (region), 2 (province), and 3 (municipality) boundaries, points, and lines, shapefiles and live services [Dataset]. http://cloud.csiss.gmu.edu/dataset/caf116df-f984-4deb-85ca-41b349d3f313

Philippines administrative level 0 (country), 1 (region), 2 (province), and 3 (municipality) boundaries, points, and lines, shapefiles and live services

Explore at:
zipped shapefile(204037), zipped shapefile(145720425), zipped shapefile(140313868), zipped shapefile(141598788), live service, kmz(77928), kml(129671719), xlsx(188322), zipped shapefile(149538908), kmz(139845073), kmz(374), zipped shapefile(139335705), csv(154689), kmz(378), kmz(380)Available download formats
Dataset updated
Jun 18, 2019
Dataset provided by
UN Humanitarian Data Exchange
Area covered
Philippines
Description

These datasets are 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. These datasets have been vetted by staff at The Carl Vinson Institute of Government's Office of Information Technology Outreach Services (ITOS) according to their COD assessment protocol found in the COD Technical Support Package (https://sites.google.com/site/commonoperationaldataset/geodata-preparation-manual/itos-process).
Acknowledge PSA and NAMRIA as the sources. LMB is still 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. This COD replaces https://data.humdata.org/dataset/philippines-administrative-boundaries

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)

These shapefiles are suitable for database or ArcGIS joins to the sex and age disaggregated population statistics found on HDX here.

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