Documents from the April 8th - 11th South-South Workshop for the Inform Project
This survey is part of a multi-country pilot study which combines surveys of primary schools with household and other micro surveys to assess service delivery systems in education, measure performance, and establish a baseline for examining the impact of policy and institutional reforms over time.
Work on the PESD project was launched in late 2001 as part of the World Bank’s analytical work on poverty in PNG. The project was launched in close consultation with the Government of PNG and AusAID.8 Work on the PESD survey started in early 2002.
-Population: Population's relationship, marital status, religion, residence, origins, education, work status, location of workplace, number of days / hours worked, distance from work, satisfaction at work, migration and income.
-Households: Living quarters conditions, water & electricity & lighting & toilet access and household durable.
Individual: Relationship to Head of household, ethnicity, residential status, sex, age, marital status, labour force information, education, communication, consumption.
Household: consumption, income, payments, home production, housing characteristics, utilities, communication, vehicles.
The combined Pacific EEZ layer are the layers gathered from gazetted datasets that the Pacific Community (SPC) has received from the project countries. In areas where there are no gazetted datasets provisional layers are being sourced from the Global Marine Regions database (https://www.marineregions.org/).
There are two layers available, he .shp file layer and the .kml layer which are being used by partners and member states in particular FFA for the Regional Fisheries Surveillance Center (RFSC).
OpenStreetMap (OSM) is a free, editable map & spatial database of the whole world. This dataset is an extract of OpenStreetMap data for French Polynesia in a GIS-friendly format.
The OSM data has been split into separate layers based on themes (buildings, roads, points of interest, etc), and it comes bundled with a QGIS project and styles, to help you get started with using the data in your maps. This OSM product will be updated weekly.
Global EEZ layer are the layers gathered from gazetted datasets that the Pacific Community (SPC) has received from the project countries. In areas where there are no gazetted datasets provisional layers are being sourced from the Global Marine Regions database (https://www.marineregions.org/).
There are two layers available, he .shp file layer and the .kml layer which are being used by partners and member states in particular FFA for the Regional Fisheries Surveillance Center (RFSC).
Global EEZ layer are the layers gathered from gazetted datasets that the Pacific Community (SPC) has received from the project countries. In areas where there are no gazetted datasets provisional layers are being sourced from the Global Marine Regions database (https://www.marineregions.org/).
There are two layers available, the .shp file layer and the .kml layer which are being used by partners and member states in particular FFA for the Regional Fisheries Surveillance Center (RFSC).
Global EEZ layer are the layers gathered from gazetted datasets that the Pacific Community (SPC) has received from the project countries. In areas where there are no gazetted datasets provisional layers are being sourced from the Global Marine Regions database (https://www.marineregions.org/).
There are two layers available the .shp file layer and the .kml layer which are being used by partners and member states in particular FFA for the Regional Fisheries Surveillance Center (RFSC).
Full metadata description: all details concerning the spatial dataset.
Full metadata description: all details concerning the spatial dataset.
Full metadata description: all details concerning the spatial dataset.
Aitutaki Water Quality Results 2010 Streams
This is a kml file that shows the global 24 nautical mile zone. It can open in QGIS and Google Earth.
This kml file shows the global 12 nautical miles zone. It can be opened in QGIS and Google Earth.