15446 results
 Pacific Data Hub

Under the Legal Notice No. 41 of 1979: Declaration of Archipelagic Baselines (The Delimitation of Marine Waters Act (No. 32 of 1978)), the Declaration of Archipelagic Baselines for the Solomon Islands are defined in geographical co-ordinates UTM WGS 84 system.

https://www.un.org/depts/los/LEGISLATIONANDTREATIES/PDFFILES/SLB_1979_N…

 Pacific Data Hub

The main component of that survey is the expenditure of households. All expenditures are captured and show their amount and sources, disaggregated by a detailled classification containing around 1,750 commodities that is aligned with the international COICOP (Classification Of Individual Consumption Of Purpose) classification. This classification will allow to update the Consumer Price Index of New Caledonia.All types of expenditure are covered, including expenditure that is not related to consumption of goods or services: taxes, house work, cash gifts.

 Pacific Data Hub

The phone survey was conducted to gather data on the socio-economic impacts of COVID-19 crisis, as well as the Hunga Tonga-Hunga Ha'apai volcanic eruption and tsunami in Tonga. Round 2 interviewed 2,503 households both in urban and rural regions of the country from July 2022 to August 2022. Survey topics included employment and income, food security, coping strategies, access to health services, asset ownership, and preparedness.

 Pacific Data Hub

The 2021 Tonga HIES is the new update of this kind, after the 2015/2016, 2009 & 2001 versions. This survey aims to provide indicators on Household Living Standard using monetary aspect (amount of income and expenditure), non-monetary aspect (calory consumed, assets own, imputed rents…) and more social approach (education, health, food security status…).

 Pacific Data Hub

PURSE SEINE fishery data compiled by the Western and Central Pacific Fisheries Commission (WCPFC). The WCPFC have compiled a public domain version of aggregated catch and effort data using operational, aggregate and annual catch estimates data provided by Commission Members (CCMs) and Cooperating Non-members (CNMs).

Data cover 1950 to 2021 and are grouped by 1°x1° latitude/longitude grids, year and month.

The data are described here:

https://www.wcpfc.int/public-domain

 

 

 Pacific Data Hub

Tuna biomass (skipjack, albacore, yellowfin and bigeye tuna) variability over the period 1979-2010 simulated by the Spatial Ecosystem and Dynamics Model (SEAPODYM, http://www.seapodym.eu/ and https://github.com/PacificCommunity/seapodym-codebase).

Here, we provide the unfished biomass dynamics (i.e. without considering any fishing). For each of the four tuna species we provide both the total biomass (adults + juveniles) and the larvae abundance.

 Pacific Data Hub

Projection of tuna biomass (skipjack, albacore, yellowfin and bigeye tuna) in response to climate change simulated by the Spatial Ecosystem and Population Dynamics Model (SEAPODYM, http://www.seapodym.eu/ and https://github.com/PacificCommunity/seapodym-codebase).

 Pacific Data Hub

1/36° model hindcast of the Solomon sea developed as part of the SOSMOD project (SOlomon Sea high résolution MODeling).

Simulations performed by the MEOM group using NEMO (Nucleus for European Modelling of the Ocean) for the period 1989-2007.

Here we provide temperature and current velocity every 5 days. 

The model configuration and results are described in:

 Pacific Data Hub

Tuna biomass (skipjack and bigeye tuna) variability over the period 1998-2019 simulated by the Spatial Ecosystem and Population Dynamics Model (SEAPODYM).

Here, we provide the unfished biomass dynamics (i.e. without considering any fishing). For each of the four tuna species we provide both the total biomass (adults + juveniles) and the larvae abundance.

This model is described in : 

 Pacific Data Hub

The Maritime Zones Act No. 06 of 2010 states

2 Sovereignty of Vanuatu
The Sovereignty of Vanuatu comprises of:
(a) All islands within the archipelago including Mathew (Umaenupne) and Hunter (Leka) islands; and
(b) Any islands or reefs forming or formed within the Exclusive Economic Zone of Vanuatu.

 Pacific Data Hub

The dataset is a 44-year hindcast (1979-2022) of the wave conditions in Tuvalu using the unstructured version of the third-generation wave model Simulating Waves Nearshore (UnSWAN).

 Pacific Data Hub

The country data contained herein is a subset of the Pacific Food Trade Database (PFTD) version 2.1. The PFTD was developed to facilitate more reliable analysis of Pacific food trade in terms of food security and nutrition. The PFTD version 2.1 includes data for 18 Pacific Islands Countries and Territories for the years 1995-2018. The classification system used for the PFTD (version 2.1) is HS92.

_Find more Pacific data on [PDH.stat](https://stats.pacificdata.org)._

 Pacific Data Hub

Standard regional data collection forms used in the Pacific

2xdoc
 Pacific Data Hub

A strong evidence base is needed to understand the socioeconomic implications of the coronavirus pandemic for the Solomon Islands. High Frequency Phone Surveys (HFPS) are set up to understand these implications over the years. This data is the fifth of the five planned rounds of mobile surveys.

 Pacific Data Hub

The phone survey was conducted to gather data on the socio-economic impact of COVID-19 crisis in Vanuatu. Community transmission of COVID-19 in Vanuatu started only in March 2022 followed by the nation-wide lockdown and other restrictions. Round 1 HFPS survey was a timely process to observe the effect of the crisis on the country. Round 1 interviewed 2,515 households both in urban and rural regions of the country from July 2022 to September 2022.

 Pacific Data Hub

## Overview

A geospatial dataset of point geometries with a land use / land cover label and several remote-sensing derived predictor variables that can be used to train and test a land use / land cover classifier.

This dataset was generated with support from a Climate Change AI Innovation Grant and the Australian Centre for International Agricultural Research.

Each of the point geometries was assigned one of the following class labels:

 Pacific Data Hub

This dataset is an aggregation of the database from the Lowy Institute Pacific Aid Map which provides an overview of aid and development finance in the Pacific region.

_Find more Pacific data on [PDH.stat](https://stats.pacificdata.org)._

 Pacific Data Hub

Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all : Overall, economic trends in the Pacific region have been positive, yet inconsistent. The restricted economic bases of Pacific Island countries are highly sensitive to external economic shocks (including commodity price fluctuations, supply chain disruptions and financial stress), natural events (such as cyclones, floods and droughts) and costs of adaptation to climate change; nternal employment factors in the Pacific compound these external factors.

 Pacific Data Hub

Ensure access to affordable, reliable, sustainable and modern energy for all : The following Pacific priority actions relate to Goal 7: a) reaching universal access to energy; b) increasing the share of renewables in the energy mix; c) energy efficiency measures in the transport, industry, and building sectors; d) institutional, legislative and regulatory reforms in the energy sector; e) collecting, centralizing, analysing and disseminating energy-related data and policy relevant information; Several countries have reported increases in the share of population accessing electricity over the

 Pacific Data Hub

Ensure availability and sustainable management of water and sanitation for all : Water and sanitation coverage in the Pacific is low, and accessibility varies widely across, and between, Pacific countries and territories. The combined coverage levels of basic water and basic sanitation are lower than in any other region in the world, and nearly one-third of Pacific people still rely on surface water sources for drinking (largely due to the high reliance of surface water in rural PNG); Children and their families are most vulnerable to the WASH-related impacts of climate change.