Interviews conducted on commercial premises where waste was also collected.
• Date: date of the interview
• Premises_ID: unique premises identifier
• Premises_Type: type of premises
• additional_comments_photos/extra_comments: miscellaneous comments
• country: country of audits
• Who_collects_the_rubbish
• Collection_period: how often waste is collected
• Collection_rating: satisfaction with collection service, 1-5 scale
• Waste_disposal_general: how general waste is disposed of
Big file containing high level audit data, detailed sort of drink containers and interview data.
Long form dataset containing data from APWC high level waste sorts and detailed container sort. See the "Pivot Table" sheet for a summary of the data contained here.
Note that average values will not work for the pivot table, as each category has a number of subcategories which messes up the calculation of averages.
Resource contains raster files for a Digital Elevation Model (DEM) and derived hillshade for Tuvalu.
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).
Atlas of Living Australia data on invasive alien species found in Tuvalu
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
he total economic value of the effects caused by Tropical Cyclone Pam was estimated to be approximately VT 48.6 billion (US$449.4 million). Of this, VT 29.3 billion (US$270.9 million) is attributable to damage, and VT 19.3 billion (US$178.5 million) is attributable to loss. This is equivalent to 64.1% of the gross domestic product (GDP) in Vanuatu, giving an indication of the scale of impact. Because of data limitations, however, it is likely that these figures underestimate the total impact.
*refer to pdf report for more information*
This table provides a summary of the estimated costs for recovery and reconstruction. Total recovery and reconstruction is estimated at VT 34.1 billion (US$316 million). Of this amount VT 10.3 billion (US$95 million) is focused over the short-term (12 months to four years).
*data extracted from the PDNA Cyclone Pam 2015*
For the purpose of this PDNA, the agricultural sector is defined to include the crops, livestock, fishery, and forestry subsectors
Commerce and industry comprises close to 40% of GDP and is therefore a key sector for Vanuatu. Tropical Cyclone Pam damaged the sector’s buildings and inputs for production, and it continued to affect the sector through increased costs of inputs and reduced activity in the economy. It is important to note that the figures reported are likely to be underestimated due to the amount of data available for inclusion within this PDNA, which was prepared in a short time frame.
Vanuatu has obligations under these international conventions and agreements