Updated
20 March 2020
| Dataset date: January 01, 2017-December 31, 2017
Contains data from the DHS data portal. There is also a dataset containing Papua New Guinea - Subnational Demographic and Health Data on HDX.
The DHS Program Application Programming Interface (API) provides software developers access to aggregated indicator data from The Demographic and Health Surveys (DHS) Program. The API can be used to create various applications to help analyze, visualize, explore and disseminate data on population, health, HIV, and nutrition from more than 90 countries.
Updated
27 January 2020
| Dataset date: March 01, 2018-March 01, 2018
This dataset is an extraction of roads from OpenStreetMap data made by WFP following UNSDI-T standards.
The data is updated in near-real time from OSM servers and include all latest updates.
NOTE: this dataset doesn't include streets and pathways that have been published on a separate dataset (streets and pathways).
More documentation on the whole process for extracting OpenStreetMap roads can be found here: http://geonode.wfp.org/documents/6823/download
Updated
27 January 2020
| Dataset date: March 01, 2018-March 01, 2018
This dataset is an extraction of streets and pathways from OpenStreetMap data made by WFP that follow UNSDIT standards.
The data is updated in near-real time from OSM servers and include all latest updates.
NOTE: this dataset doesn't include main roads that have been published on a separate dataset (main roads).
More documentation on the whole process for extracting OpenStreetMap roads can be found here: http://geonode.wfp.org/documents/6823/download
Updated
10 September 2019
| Dataset date: July 19, 2019-July 19, 2019
The dataset contains number of families and individuals displaced by Ulawun volcano. Data is age and gender disaggregated collected at sub-national level.
Updated
7 August 2019
| Dataset date: January 01, 2018-December 31, 2018
This dataset includes any criminally motivated events in which aid agency or aid worker property was stolen, destroyed or otherwise misappropriated in 2018. Categorised by date, country, crime sub-type.
Updated
10 May 2019
| Dataset date: May 10, 2019-August 16, 2022
Papua New Guinea administrative level 0 (country), 1 (province, autonomous region, and National Capital District), 2 (district), and 3 (local level government area) boundary shapefiles, EMF files, geodatabase, and gazetteer
Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
These boundary files are suitable for database or GIS linkage to the Papua New Guinea - Subnational Population Statistics tables.
Updated
14 March 2019
| Dataset date: December 31, 2018-December 31, 2018
This shape file consists of consolidated history of tropical storm paths over the past 50 years in the West Pacific, South Pacific, South Indian and North Indian basin. Attributes provides details such as storm Name, Date, Time, wind speed and GPS points for each advisory point. Wind speeds are in knots for more details on speeds conversion and storm categories please visit the original source of data: UNISYS (http://weather.unisys.com/hurricane/index.php), NOAA (http://rammb.cira.colostate.edu/products/tc_realtime/index.asp)
Updated
28 September 2018
| Dataset date: January 01, 1950-December 31, 2050
The urban indicators data available here are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics. Urban statistics are collected through household surveys and censuses conducted by national statistics authorities. Global Urban Observatory team analyses and compiles urban indicators statistics from surveys and censuses. Additionally, Local urban observatories collect, compile and analyze urban data for national policy development. Population statistics are produced by the United Nations Department of Economic and Social Affairs, World Urbanization Prospects.
Updated
16 August 2018
| Dataset date: February 25, 2015-February 25, 2015
This spatial dataset of health facilities is a national dataset of 705 facilities across Papua New Guinea. Edits were made to the original dataset to include provincial, district and LLG attribute information.
The original dataset was provided to the UN-OCHA Regional Office for the Asia-Pacific by the National Statistics Office.
Updated
16 August 2018
| Dataset date: February 25, 2015-February 25, 2015
This spatial dataset is a national dataset of watercourses for Papua New Guinea with no hydrological heirarchy. Edits were made to the original dataset to include provincial level attribute information. Watercourse name in English are included where known.
This dataset was provided to the UN-OCHA Regional Office for the Asia-Pacific by the National Statistics Office.
Updated
16 August 2018
| Dataset date: February 25, 2015-February 25, 2015
This spatial dataset is a national dataset of education facilities across Papua New Guinea. Edits were made to the original dataset to include provincial, district and LLG attribute information.
The original dataset was provided to the UN-OCHA Regional Office for the Asia-Pacific by the National Statistics Office.
Updated
16 August 2018
| Dataset date: February 24, 2015-February 24, 2015
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.
Updated
21 June 2016
| Dataset date: April 21, 2016-April 21, 2016
This dataset contains a list of the countries affected by the El Niño as at April 21, 2016 as reported jointly by FAO, the Global Food Security Cluster and WFP on 21 April 2016 in the 2015-2016 El Niño: WFP and FAO Overview update. According to the World Bank, El Niño is likely to have a negative impact in more isolated local food markets, and many countries are already facing increased food prices. Food Security Cluster partners have implemented preparedness activities and are responding in countries where the effects of El Niño have materialised, such as Ethiopia, Papua New Guinea, Malawi and throughout Central America. In Southern Africa, many areas have seen the driest October-December
period since at least 1981, and some 14 million people in the region are already facing hunger, which adds to fears of a spike in the numbers of the food insecure later this year through 2017.
