This a completely made up fictional dataset.
Data quality is pretty low, I wouldn't trust it.
Data is accurate and data points are sourced (in each row) but some documents have not been referenced e.g. Island strategic plans for those pa enua islands that have them. Based on 2017 documents but last worked on 27 March 2018.
Ozone Depleting Substances Consumption data from UNEP 2015 or older
Imported substances CFCs, HCFCs, HBFCs, halons, methyl chloroform, carbon, tetrachloride, bromochloromethane, or methyl bromide in metric tonnes from Jan to Dec 2012
Details the legislations and actions in place regarding the ban or importation of specific ODS chemicals
A record of diesel consumption on Kiritimati Island in the year 2010
*refer to pdf report for more information*
Time series data on the consumption of HCFCs and methal bromid in Kiribati submitted to Ozone Secretariat.
time series data on the consumption of CFC 12 & CFC 115 in Tuvalu in the past and submitted to Ozone Secretariat. This data was reported in the National Compliance Action Strategy to implement the Montreal Protocol on Substances that Deplete the Ozone Layer in Tuvalu
Community consultations have taken place on four islands to collect relevant information on island biodiversity, so as to incorporate this into the National Biodiversity Strategy and Action Plan. The perceived threats are shown in this excel sheet.
The data presents the volume and value of estimates annual fisheries catches and aqua cultural harvest in Tuvalu in 2014.
Data extracted from the Fisheries in PIC's economies' report, 2016.
The apparent changes in production for the three years sometimes represents real change in production, but it can also reflect a change in the methodology for how the production is measured (hopefully an improvement). In table above, the production levels for coastal commercial, coastal subsistence, and freshwater change significantly between the years, but some of that change is due to the way in which the production was estimated. For example, for the 2014 estimate of coastal fisheries production, the results of
the 2010 HIES were available.
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.
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