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.

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.

This dataset includes supporting information and spatial data for a Philippines case study on social equity in marine systematic conservation planning (SCP). The study focuses on three dimensions of social equity (recognition, procedure, and distribution) in relation to planning marine protected areas (MPAs) under a SCP framework. It documents how social equity dimensions can be addressed within the planning stages of SCP and compares three planning scenarios to investigate how recognition and procedure equity can impact MPA plans in terms of distribution equity, ecological representation, and spatial efficiency. The study region is located in Sogod Bay in Southern Leyte, Philippines and encompasses the coastal waters of six municipalities: Pintuyan, San Francisco, Liloan, Malitbog, Padre Burgos, and Limasawa. Biodiversity and fishery data were collected using remote sensing and participatory mapping methods, respectively. The data were integrated into the spatial prioritization tool, Marxan with Zones, to develop and compare three planning scenarios.

The supporting information file contains supplemental information on (1) biodiversity data and remote sensing analyses; (2) fishery data and participatory mapping workshops; (3) existing MPA system in the study region; and (4) Marxan with Zones analyses including (a) summary tables of the final Marxan with Zones analysis of each planning scenario, (b) input and output files of Marxan with Zones analyses by scenario, and (c) maps of Marxan with Zones outputs under the three scenarios.

The spatial data file includes SHP and KML files on (1) the administrative boundaries for (a) barangays/communities, (b) municipalities, and (c) municipal waters in the study region; (2) (a) the amount of each biodiversity feature in each planning unit, (b) the distribution of coastal habitats derived from a remote sensing analysis of three WorldView-2 images, (c) areas with cloud cover where habitat classes could not be derived from the remote sensing analysis; (d) mangrove data derived from secondary data sources; (3) the amount of each fishery feature in each planning unit at (a) a barangay/community scale and (b) a municipal scale; and (4) (a) the location and attribute information on existing MPAs in 2015, (b) planning units selected in the MPA zone of the “best” Marxan with Zones solution (lowest score of 100 runs) by scenario, and (c) planning unit selection frequencies for the MPA zone by scenario.

Note Barangay/community names have been replaced with codes to maintain the confidentiality agreement of this study.

Mineral resource occurrence data covering the world, most thoroughly within the U.S. This database contains the records previously provided in the Mineral Resource Data System (MRDS) of USGS and the Mineral Availability System/Mineral Industry Locator System (MAS/MILS) originated in the U.S. Bureau of Mines, which is now part of USGS. The MRDS is a large and complex relational database developed over several decades by hundreds of researchers and reporters. While database records describe mineral resources worldwide, the compilation of information was intended to cover the United States completely, and its coverage of resources in other countries is incomplete. The content of MRDS records was drawn from reports previously published or made available to USGS researchers. Some of those original source materials are no longer available. The information contained in MRDS was intended to reflect the reports used as sources and is current only as of the date of those source reports. Consequently MRDS does not reflect up-to-date changes to the operating status of mines, ownership, land status, production figures and estimates of reserves and resources, or the nature, size, and extent of workings. Information on the geological characteristics of the mineral resource are likely to remain correct, but aspects involving human activity are likely to be out of date.