HOUSEHOLD: Housing characteristics, tenure characteristics, utilities and communication, goods and assets, vehicles and accessories, loans, expenditure, income.
INDIVIDUAL: Demographic profile, economic activities, health, communication.
Main questionnaire sections:
- Individual sections: demographic, education, health status (including disability), Individual expenditure (clothing, communication, kava tobacco alcoho)l, labor force and individual income,
- Household sections: dwelling characteristics (inc energy), assets, home maintenance, vehicles, private travels, household services and taxes, financial support given away, household expenditure (textiles…), ceremonies, remittances received, , primary activities (agriculture, fisheries, livestock, handicraft)
Kiribati total copra production and export, 1970 - 2013. Attached are 2 datasets on total copra production by year and by islands group for Kiribati for 1970 - 2013. Units given in metric tonne/year. Data sourced through the Kiribati Statistics Office.
Kiribati power statistics for 2010 - 2013. Data produced by the Kiribati Public Utility Board, sourced through the Kiribati Enery Planning Unit.
Kiribati fuel sales breakdown by end-users, 2010 - 2013 for benzene, automotive diesel oil, dual purpose kerosene, aviation gasoline, lubricant oil and liquefied petroleum gas. End-users are gas station/bunkers, bus owners, KOIL, PUB, Bonriki/Air Kiribati, Outer Islands (households, cooking), KSSL (sea transport) and other vessels (sea transport).
Kiribati monthly consumption of fuel for the Gilbert Group, 2010 - 2013. Fuel types are benzene, automotive diesel oil, dual purpose kerosene, aviation gasoline, lubricant oil & liquefied petroleum gas.
Kiribati local buying prices 1980 - 2012. Data sourced through the Kiribati Statistics Office. Prices are given for Gilbert Islands, Christmas Island, Fanning Island and Washington Island in cents/kg.
Kiribati estimates of monthly copra production by island 2013. Data sourced from the Kiribati Statistics Office.
Kiribati copra production by island, 1993 - 2013. Data sourced through the Kiribati Statistics Office.
Kiribati total amount of copra and total value of copra exported by destination 1992 - 2010. Units given in metric tons. Data sourced through the Kiribati Statistics Office.
The household survey was funded by the Government of Australia via the Secretariat of the Pacific Community (SPC) through the Pacific Appliance Labelling and Standards (PALS) project with technical support from the United Nations Development Programme (UNDP).
Data entry was undertaken by the Department of Energy, Govt. of Tuvalu. Contact: Kapuafe Lifuka, Acting Director, Department of Energy, Ministry of Public Utilities, Government of Tuvalu & PALS National Coordinator: [email protected]
Data captures Fiji 2013 vehicle imports. Data captured by the Fiji Revenue & Customs Authority and sourced through the Fiji Statistics Office.
Dataset captures Fiji petroleum product volume imports & re-exports) from 2000 - 2014. Data sourced directly from the Fiji Bureau of Statistics. Data captures HS Code, SITC, country or import or export, quantity, unit and value. Table below shows the specific codes for each petroleum product.
Fiji Islands transport data. Data collected by Mr Herbet Wade, consultant for the SPREP PIGGAREP Project. Record holds several attachments. The objective of this project is to assess what is available in the Pacific Islands countries (PIC), identify and determine how renewable sources & ultimately technology can be used to offset fuel imports and lastly what mechanisms is appropriately applicable towards having an Energy efficient program towards the fuel design. Data collected involved transport of all sectors.
Cook Islands transport data. Data collected by Mr Herbet Wade, consultant for the SPREP PIGGAREP Project. Record holds several attachments. The objective of this project is to assess what is available in the Pacific Islands countries (PIC), identify and determine how renewable sources & ultimately technology can be used to offset fuel imports and lastly what mechanisms is appropriately applicable towards having an Energy efficient program towards the fuel design. Data collected involved transport of all sectors.Listed are the transport related information collected:
Tropical Cyclone Gita hit the main island of Tongatapu and the island of ‘Eua on the night of Monday, 12th February 2018 as a destructive category 4 storm, causing severe damages to these two islands which consists of about 80% of the Total population of Tonga.
This assessment uses the post-disaster data collected by the Statistical Department to describe the characteristics of the affected population, nature and spatial concentration of the damage, and the aid required and received at the time of the interview by the Tongan population.
A recently published paper, titled “Coastal proximity of populations in 22 Pacific Island Countries and Territories” details the methodology used to undertake the analysis and presents the findings. **Purpose** * This analysis aims to estimate populations settled in coastal areas in 22 Pacific Island Countries and Territories (PICTS) using the data currently available. In addition to the coastal population estimates, the study compares the results obtained from the use of national population datasets (census) with those derived from the use of global population grids.
-MENAGE: Caracteristiques du menage; Biens du menage; Entretien; Voyages; Service; Ceremonies; Flux financiers; Betail; Agriculture.
-INDIVIDU: Caracteristiques des individus; Education; Sante; Handicap; Communication; Alcool et tabac; Activities economiques; Peche et chasse; Artisanat.
Reefs at Risk Revisited is a high-resolution update of the original global analysis, Reefs at Risk: A Map-Based Indicator of Threats to the World’s Coral Reefs. Reefs at Risk Revisited uses a global map of coral reefs at 500-m resolution, which is 64 times more detailed than the 4-km resolution map used in the 1998 analysis, and benefits from improvements in many global data sets used to evaluate threats to reefs (most threat data are at 1 km resolution, which is 16 times more detailed than those used in the 1998 analysis).
Dataset includes various regional-scale spatial data layers in geojson format.