Overview On July 8th, fighting broke out in Juba between the government-led SPLA and former opposition SPLA-IO. Since then, the states of Greater Equatoria have seen fighting spread to other towns and villages throughout the region, displacing hundreds of thousands South Sudanese across the borders into Uganda and Kenya. Many areas in Greater Equatoria are largely inaccessible to humanitarian actors due to insecurity and logistical constraints. As a result, only limited information is available on the humanitarian situation outside major displacement sites. In order to fill such information gaps and facilitate humanitarian planning, in late 05, REACH piloted its Area of Origin (AoO) methodology, which takes a territory-based approach that may cover several bomas, to collect data in hard-to-reach areas of Unity State. In December 06, REACH decided to refine the methodology, moving from the AoO to the Area of Knowledge (AoK) methodology, an approach collecting information at the settlement level. The most recent OCHA Common Operational Dataset (COD) released in February 06 has been used as the reference for settlement names and locations. Through AoK, REACH collects data from a network of Key Informants (KIs) who have sector specific knowledge and gain information from regular direct or indirect contact, or recent displacement. Using this new methodology, in, REACH collected information on Greater Equatoria using remote phone calling of KIs within the Equatorias to supplement data collected in displacement sites with information directly from assessed settlements. Data collected is aggregated to the settlement level and all percentiles presented in this factsheet, unless otherwise specified, represent percent of settlements within Greater Equatoria with that specific response. Although current AoK coverage is still limited and its findings not statistically significant, it provides an indicative understanding of the needs and current humanitarian situation in assessed areas of Greater Equatoria States. Data presented in this factsheet was collected remotely via telephone calling, and from Juba PoC and PoC. Assessment coverage 87 Contact with Area of Knowledge 99% 0% 70% Key Informants assessed Settlements assessed KIs reported to be newly arrived IDPs. KIs reported to have visited the AoK within the last month. KIs reported to be in contact with someone living in the AoK within the last month. Assessment coverage TAMBURA NAGERO EZO NZARA Assessed settlements Settlement Cover percentage of assessed settlements relative to the OCHA (COD) total dataset: 0% 0. -.9% 5-0% 0. - 0% 0. - 50% > 50% YAMBIO WESTERN EQUATORIA IBBA MARIDI State coverage MVOLO MUNDRI WEST CENTRAL EQUATORIA MUNDRI EAST State Assessed settlements OCHA (COD) settlements Cover percentage Central Equatoria 08,607 7% Eastern Equatoria 0,578 >% Western Equatoria 5,0 >% Total,587 % Counties with under 5% of settlement coverage are not disaggregated to the county level, but are included in state-level analysis. Although less than 5% of settlements were assessed in Juba County, findings for this will still be presented due to its demographic importance. KAJO-KEJI EASTERN EQUATORIA LOPA TORIT KAPOETA NORTH IKOTOS BUDI KAPOETA SOUTH KAPOETA EAST Reached villages State County Assessed settlements OCHA (COD) settlements Cover percentage Central Equatoria Juba 8 98 7% Kajo-Keji 7 6 0% Lainya 5 6% Morobo 9 5 7% Terekeka 5 6% Yei 9 % Eastern Equatoria Budi >% Kapoeta East 95 >% Kapoeta South 50 % Magwi >% Torit >% Western Equatoria Ezo % Maridi 0 % Mundri West 59 >% Yambio 06 >%
New arrivals Push factors Pull factors Previous location Displacement Top three reported reasons newly arrived IDPs left their previous location: Top three reported reasons newly arrived IDPs came to their current location: Top three reported most recent long-term locations for newly arrived IDPs: Reported time of first displacement for newly arrived IDPs: Lack of security 60% Lack of food 8% Lack of health services 8% Security 6% Access to health services % Access to food 9% Yei County 55% Magwi County 8% Torit County 0% +68+A % 68% March 07 % February 07 Displacement reporting presence of IDPs: 5-75% 76-00% Demographic composition Reported gender ratio of IDPs in assessed More women than men % All/almost all women % About equal % All/almost all men 7% More men than women % Reported age ratio of IDPs in assessed More adults than children % All/almost all adults 0% About equal % More children than adults 0% All/almost all children % +++7+ +0++0+ Local reporting host remaining: 5-75% 76-00% Demographic composition Reported gender ratio of local remaining in assessed More women than men 6% All/almost all women % About equal 9% More men than women 7% All/almost all men 5% More adults than children 7% More children than adults 6% All/almost all adults % About equal % All/almost all children % 6++9+7+5 7+6+++ Reported age ratio of local remaining in assessed Most frequently cited as first, second and third most important reasons.
Health Shelter/NFI reporting access to health care: 5-75% 76-00% Health concerns Most commonly reported heath concerns in the assessed Malaria 67% Typhoid 7% Fever 5% Malnutrition % 5 Diarrhea % Health distance Reported distance of the nearest health care facilities from the assessed 67+7+5++ reporting tukuls as a primary shelter type for Local Community: 5-75% 76-00% reporting tukuls as a primary shelter type for IDPs: 5-75% 76-00% Under 0 minutes % 0 minutes to under hour 7% hour to under half a day 9% Half a day 7% +7+9+7 Health unavailability Top three reported reasons why health care facilities are not available from the assessed Insecurity 5% Lack of drugs 50% Health care was never available 550 % 7+6++A Feeding programmes Reported availability of feeding programmes that provide Plumpy Sup, CSB++ or other nutrition supplements in the assessed 7% Not available 6% Available % Available Rank three most common health concerns normalized. Rank two reasons health facilities are not available. NFI Reported number of people sharing a shelter in assessed to 5 7% 6 to 0 % to 5 % More than 5 % 7+++ Shelter sharing Reported proportion of the local sharing shelters with IDPs: All % More than half % Around half 7% Less than half % None % 0+6++8+
Food Security WASH reporting access to adequate amounts of food: 5-75% 76-00% Market distance Reported distance of the nearest market from the assessed Under 0 minutes 8% 0 minutes to under hour 68% hour to under half a day % Half a day % 8+68++ reporting access to clean drinking water: 5-75% 76-00% Water distance Reported distance of the nearest safe water source from the assessed Under 0 minutes % 0 minutes to under hour 66% hour to under half a day % Half a day % +66++. Coping strategies The average number of reported coping strategies used in the assessed coping strategies reported on average 5 Rank three reasons adequate food is not available. Land availability Reported availability of land for agriculture in the assessed 8+7+A Food unavailability Top three reported reasons why people cannot access enough food in the assessed 5 Crops destroyed by fighting Food distribution no longer occurs 8% Available 7% Not available 76% 0% Unsafe to access land % 6+6+A 760 Market availability Reported availability of a functioning market accessible from the assessed 6% Available 6% Not available Sanitation Reported usage of sanitation facilities in comparison with open defecation in assessed All %+++5+ More than half % Around half % Less than half 5% None % Borehole usage 96% of assessed settlements with safe drinking water reported boreholes as the primary source. County State Percentage of functioning boreholes Juba 87% Kajo-Keji 7% Lainya 6% Morobo 7% Terekeka 8% Percentage of functioning boreholes Central Equatoria 78% Eastern Equatoria 8% Western Equatoria 75%
Education Protection Education availability Women Men Children reporting access to education: 5-75% 76-00% Reported available education services in the assessed 6 None 0% Pre-primary 5% Primary 70% Secondary 5% ALP 7 8% 0+5+70+5+8 concerns for women in the assessed 6% Sexual violence % Looting % concerns for men in the assessed % Forced recruitment 5% Looting 6% concerns for children in the assessed 0% Family separation 7% Looting 7% 6 Key informants could choose more than one answer. 7 Accelerated learning programmes. % None % % Less than half 6% % Half % % More than half 8% % All 5% Education attendance and availability Top two reported reasons why children are not attending school in the assessed 5 High fees Insecurity% 5% Top two reported reasons why education services are not available in the assessed 55% Facilities destroyed by fighting % School attendance There were never education facilities Reported proportion of 6-7 year old girls and 6-7 year old boys attending school in assessed % 5 Domestic violence % Very Good 0% Good 00% Neutral 0% Poor 0% Very poor 0% 0+90 About REACH REACH facilitates the development of information tools and products that enhance the capacity of aid actors to make evidence-based decisions in emergency, recovery and development contexts. All REACH activities are conducted through inter-agency aid coordination mechanisms. For more information, you can write to our in-country office: south.sudan@reach-initiative.org or to our global office: geneva@reach-initiative.org. Visit www.reach-initiative.org and follow us @REACH_info. Community relations Reported relationships between IDPs, returnees 8 and local in the assessed % 5 Cattle raiding 9% 7+8+A 5% 5 None 9% Land disputes Reported presence of disputes over land ownership in the assessed 7% No 8% Yes 8 Local displaced and returned home, reported in 5% of assessed settlements. 5