In 2016, OCHA merged its offices in Johannesburg and Nairobi into the OCHA Regional Office for Southern and Eastern Africa (ROSEA), covering 25 countries.
Comprising the Horn of Africa and the Great Lakes, eastern Africa is a region in which emergencies tend to be large scale, resulting in significant displacement and other needs. For this reason, OCHA maintains country presences in Burundi, DRC, Eritrea, Ethiopia, Kenya, Somalia, South Sudan and Sudan. The southern Africa region has fewer protracted humanitarian crises, but is prone to drought and floods. For this reason, OCHA does not have country offices in the region. In both regions the 2015-2016 El Nino weather phenomenon continues to have a significant humanitarian impact.
For those countries where OCHA does not have a presence, it is essential that OCHA can deploy from the regional hub swiftly and effectively in times of emergency, and to otherwise ensure preparedness for potential crises. OCHA works closely with local authorities and partners to bolster national disaster preparedness in these countries and supports response.
Whether we’re mobilizing relief money or raising awareness of forgotten crises, it’s our mandate to keep world attention focused on humanitarian issues. For this reason, we produce and release timely regional reporting and analytical products to strengthen the humanitarian case and highlight the needs of the most vulnerable in the region. OCHA ROSEA also provides a platform for the analysis of cross-border issues of humanitarian concern, such as facilitating multi-country preparedness and planning consultations. OCHA ROSEA also works to strengthen collaboration on emergency preparedness and response with regional bodies, such as the Intergovernmental Authority on Development (IGAD) in eastern Africa and the Southern Africa Development Community (SADC) in southern Africa.
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Malawi 2019 Flood Response Who does What Where (4W) data. Data compiled by DoDMA based on ongoing humanitarian response by Government and humanitarian partners.
Polling station locations
Abstract: This data comes from http://vote.iebc.or.ke
Use the _sphericalmercator versions with TileMill, will be much faster. Otherwise, you're probably fine with the unprojected versions.
There are simple endpoints for requesting json encoded data. download.py iterates, caches, and builds the output
Instructions: Polling station location Shapefile can be downloaded from https://github.com/mikelmaron/kenya-election-data/tree/master/output
Education Facility Centres in Northern Uganda - based on GPS coordinates of the centers collected (in 2009, 2010, and 2011) by UNOCHA from different stake-holders working in Northern part of Uganda, such as cluster leads, humanitarian partners, and local government. The location of the education facilities are re-verified by District Education Office (local government) before analysing and publishing Education Service Accessibility level against national standard.
Uganda County Boundary shape file -Admin Level 3: based on 2006 data provided by Ugandan Bureau of Statistics (UBOS), Government of Uganda. Agreed to share publicly and authorized by Geo-IM Working group chaired by UBOS and UNOCHA as Secretariat.
Instructions: uganda_county2006.zip
KEN_Administrative boundaries data set combining Admin 1 to Admin 3
This layer combines Kenyan administrative boundaries from Admin1 to Admin 3 , last updated in 2002 by Central Bureau of Statistics (CBS), with PCODES developed
Greater Horn of Africa Countries (Shapefile and feature layer) shared by ICPAC
Created: April 27, 2016
[COD tag removed by Tom Haythornthwaite 2018 05 02.]
This Dataset contains all health facilities and community units in Kenya. Each health facility and community unit is identified with unique code and their details describing the geographical location, administrative location, ownership, type and the services offered.