Updated August 15, 2018
| Dataset date: Dec 27, 2017
This dataset updates: Every year
LBR County : polygon dataset that shows all 15 districts (admin level 1) for LIberia, each identified by an unique P-code. The dataset was provided by UNMIL in 2011 and a new pcode structure was created using the ISO-3 System. OCHA pcodes have been also added.
LBR_Disctrict.zip: polygon dataset that shows all 136 districts (admin level 2) for LIberia, each identified by an unique P-code. The dataset was provided by UNMIL in 2011 and a new pcode structure was created using the ISO-3 System. OCHA pcodes have been also added.
Updated December 18, 2017
| Dataset date: Feb 1, 2016-Oct 31, 2016
This dataset updates: Never
From February to October 2016, the American Red Cross and its local Red Cross partners completed an effort to extensively map areas within a 15-kilometer distance of the shared borders between Guinea, Liberia, and Sierra Leone.
The goal of this work was to create an open and comprehensive dataset of communities for West Africa and to ensure that decision makers, humanitarian workers, and community stakeholders are better aware of water, sanitation, health, and community resources before and during the next crisis.
To complete this mapping, the American Red Cross launched a mapping center in Guéckédou, Guinea, and used it as both a base of operations and a community engagement facility. Over 100 volunteers helped to complete a rapid assessment of the region, visiting over 7,000 communities by motorbike to complete a vulnerability survey with the village leader. Next, over 100 communities were selected for a round of detailed mapping, focusing on collecting the location and information about every water point, health facility and other community resource in the area. In addition, we led technical skills trainings and mapping events both in Guéckédou and across the region.
ALL DATA EXCEPT FOR THE OpenStreetMap EXTRACTS ARE LICENSED AS CC-BY 4.0
Updated November 13, 2017
| Dataset date: Dec 31, 2015
This dataset updates: Never
EbolaGeonode was a partnership platform for sharing geospatial data, analysis and maps related to the Ebola emergency response. The platform was intended to minimize the time that GIS analysts spend locating up-to-date data. Users were able to make maps on the fly, view metadata, and access the reports behind GIS layers. Curators worked to ensure that the layers were recent, clean, useful, and legally and technically open.
In 2014, RIWI Corp. launched an online survey in Nigeria, Liberia, and Sierra Leone capturing public perceptions data from over 4,000 respondents on the status of Ebola in those countries. Respondents were asked a series of questions related to their confidence in government and aid agencies to manage the Ebola outbreak, as well as their own behavioral response to the infection. The data was collected using RIWI's patented Random Domain Intercept Technology™ (RDIT).
Global supply routes for Transportation of Food and Non Food Items - Roads, Railways, Waterway, Airways.
This layer is built by linking origin/destination locations using the most direct route on main roads. In reality, the supply routes can divert from the ones displayed here depending on many local factors. The routes shown in this dataset are only indicative and have to be used as such.