A strong evidence base is needed to understand the socioeconomic implications of the coronavirus pandemic for the Papua New Guinea. High Frequency Phone Surveys (HFPS) are set up to understand these implications over the years. This data is the fourth round in a series of mobile phone surveys.
The objective of the third round of the World Bank high frequency mobile phone survey was to measure the continued socioeconomic impacts of COVID-19 in Papua New Guinea, including on livelihoods, food security, and public safety and security. The survey consisted of the following modules: Basic Information, Vaccine, Employment and Income, Food Access and Food Security, Health, Public Trust and Security, and Assets and Wellbeing. The questions on employment and income were asked to the respondent and to the household head if different from the respondent.
A strong evidence base is needed to understand the socioeconomic implications of the coronavirus pandemic for the Papua New Guinea. High Frequency Phone Surveys (HFPS) are set up to understand these implications over the years. This data is the fifth round in a series of mobile phone surveys.
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.
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.
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…).
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
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.
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).
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:
Extraction of the operational Hycom global ocean forecast system at 1/12° for the Pacific region. Only surface field of current and temperature are provided.
Extraction of the operational global wave forecast system of Météo-France with a resolution of 1/12° for the Pacific region.
This product is an extraction of the full model output provided by CMEMS. Only the 10 day forecasts for a portion of the Pacific and for a few variables is provided here.
Below is the product description on the CMEMS website:
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 :
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).
CEPA Environment Permit Application Form to Discharge Waste Schedule and Additional Information Schedule 2.
Papua New Guinea Final National Action Plan to the ten year (2008-2018) UNCCD Strategy.
Linkages of GEF Goals, PNG's Multilateral Environmental Agreements and Sustainable Development Goals which are within the administration of CEPA.
Agriculture s the foundation of and heart of the rural PNG economy with over 85% of its 7.5 million people depending on the sector for their livelihoods. This sector is faced with so many challenges including climate change, lack of access to markets and so on. The access to suitable and timely information and knowledge is also seen to be one of the key drawbacks of agriculture advancement in PNG.
This dataset contains all spatial data that is related to the Tonga volcanic eruption. Maps produced are derived from credible data source such as UNOSTAT and UNITAR.
This is a dataset for all protected areas in Funafuti - 2021