Data extracted from the 'Fisheries in the PICs' report, 2016. From the table, it can be seen that, in 2014, foreign-based offshore fishing in the Tuvalu zone produced 96,898 mt of fish, with an in-zone value of US$132 million (A$161 million).
Studies of the benefits to Pacific Island countries and territories from fisheries (“Benefish” studies) have been carried out in the past. Gillett and Lightfoot (2001) focused on the year 1999, Gillett (2009) focused on 2007, and the present study focuses on 2014.
The fishery production levels for Tuvalu from those three studies are presented in this data.
Waste audit and interview data collected by APWC in October 2019.
The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator).
The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo.
Atlas of Living Australia data on invasive alien species in Tuvalu
Between March 12 and 14, 2015, Tropical Cyclone Pam struck Vanuatu as an extremely destructive Category 5 cyclone, with estimated wind speeds of 250km/h and wind gusts that peaked at around 320km/h. This assessment provides estimates to the the damages and losses, and identifies the needs of the affected population.
Spatial dataset for reefs in Vanuatu. Source: Institute of Marine Remote Sensing (IMARS).
* Attribute details on reef type: barrier atoll-bank, barrier island, fringing island, land, non-reef, patch atoll-bank, patch island.
* Attribute details on depth: deep, land, shallow, variable.
List of international environmental related agreements and conventions to which Vanuatu is obligated to.
*adopted from the Vanuatu National Biodiversity Strategy and Action Plan 2018 - 2030, pg 24*
this is a post disaster assessment report - cyclone Pam 2015
The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator).
The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo.
The PacWaste Plus Programme has a specific Key Result Area (KRA) which requires specific action on the collation and review of existing data on waste and pollution at the regional and national level and identify key areas where further data needs to be collected including gender sensitive and rights-based information. Specifically, the project seeks to, i) Undertake waste audits in Federated States of Micronesia, Republic of Marshall Islands, Nauru and Vanuatu. This dataset holds waste audit data for Vanuatu, put together by Tonkin &Taylor on behalf of the Secretariat.
This dataset holds the 'Water and Sanitation" sector plans for Samoa;
* Water Sector Plan and Framework for Action (2008/9-2011/12)
* Water and Sanitation Sector Plan 2012 - 2016 + Samoan version
* Water and Sanitation Sector Plan : Framework for Action 2016 - 2020
Excel Data herein were extracted from the above reports
The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator).
The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo.
Dataset contains training material on using open source Geographic Information Systems (GIS) to improve protected area planning and management from workshops that were conducted on February 19-21 and October 6-7, 2020. Specifically, the dataset contains lectures on GIS fundamentals, QGIS 3.x, and global positioning system (GPS), as well as country-specific datasets and a workbook containing exercises for viewing data, editing/creating datasets, and creating map products in QGIS.
The overall goal of the Hybrid Survey (HS) project is to provide Vanuatu statistical systems with an affordable means and methodology to regularly collect statistics across key social and economic sectors, to derive indicators that would provide Vanuatu Government and their development partners with a core set of statistics to facilitate evidence-based policy development and planning, to monitor development progress and measure policy performance, and ultimately to describe development impact.
The survey provides statistically sound and internationally comparable data essential for developing evidence-based policies and programmes, and for monitoring progress toward national goals and global commitments.
The Kiribati Social Development Indicator Survey (SDIS) results are critically important for the purposes of Sustainable Development Goal (SDG) monitoring, as the survey produces information on 32 global SDG indicators adopted by the National Development Indicators framework, either in their entirety or partially.
The Tonga Multiple Indicator Cluster Survey (MICS) was conducted in 2019 by the Tonga Statistics Department in collaboration with Ministry of Health with technical support of Ministry of Internal Affairs – Women’s Affairs and Gender Equality Division (WAGED) and other key Government Ministries UNICEF, UNFPA, the Pacific Community (SPC) and other partners. The survey provides statistically sound and internationally comparable data essential for developing evidence-based policies and programs, and for monitoring progress toward national goals and global commitments.
OpenStreetMap (OSM) is a free, editable map & spatial database of the whole world. This dataset is an extract of OpenStreetMap data for American Samoa in a GIS-friendly format.
The OSM data has been split into separate layers based on themes (buildings, roads, points of interest, etc), and it comes bundled with a QGIS project and styles, to help you get started with using the data in your maps. This OSM product will be updated weekly.
Information on the location of known seabird breeding colonies throughout the Pacific including all PICTS, also Hawaii, Australian offshore islands and NZ Kermadecs