A collection of datasets for economic, demographic, and population metrics for the Marshall Islands derived from the World Bank DataBank interface. DataBank is an analysis and visualisation tool that contains collections of time series data on a variety of topics. Data are derived from a series of databases such as: World Development Indicators; Statistical Capacity Indicators, Education Statistics, Gender Statistics, Health Nutrition and Population Statistics, and others
Environmental Survey on data waste collection around the Marshall Islands Resort.
PAPUA NEW GUINEA 2011 NATIONAL REPORT
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.
PNG roads: these spatial datasets provide the delimitation of primary, secondary and tertiary roads and tracks in Papua New Guinea. The OSM dataset includes attribute information includes OSM id and road names in English where known and comprehensive track network for the mainland. This dataset can be complemented by the National Mapping Bureau (NMB) (2000) dataset. The NMB dataset includes comprehensive road network in both mainland and non-mainland districts and road surface attributes. Source: Open Street Map; Papua New Guinea National Mapping Bureau. Contributor: OCHA ROAP.
The WASH Baseline Survey is an initiative of the Water and Sanitation Sector which aims to:
1. Gain a better understanding of the water and sanitation situation nationally; and
2. Collect information about Knowledge, Attitude and Practices of the population regarding water use, sanitation status and hygiene behaviour.
Cyclone Evan hit Samoa in December 2012 and caused immense damage and significant losses. This comprehensive assessment estimates those damages and losses, and identifies the needs of the affected population.
In this report, the value of durable physical assets across all economic and social sectors destroyed by Evan (referred to as damage) is estimated at SAT 235.7 million, equivalent to US$103.3 million.