Overview On 8 July 07, 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 April 07, 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 site and PoC site. Assessment coverage 96 48 Key Informants interviewed Contact with Area of Knowledge KIs reported being newly arrived 6% IDPs. KIs reported having visited AoK 6% within last month. 54% Settlements assessed KIs contacted by phone in AoK. Assessment coverage Assessed settlements Settlement Cover percentage of assessed settlements relative to the OCHA (COD) total dataset: 0% 0. - 4.9% 5-0% 0. - 0% 0. - 50% > 50% WESTERN EQUATORIA State coverage MUNDRI WEST CENTRAL EQUATORIA MUNDRI EAST JO-KEJI EASTERN EQUATORIA POETA NORTH State Assessed settlements OCHA (COD) settlements Cover percentage Central Equatoria 58,607 4% Eastern Equatoria 87,585 5% Western Equatoria 0,40 7% POETA SOUTH Total 48 4,594 5% Data from counties with under 5% settlement coverage are not included in county level analysis, but are included in state-level analysis. Although less than 5% of settlements were assessed in Juba County, fndings for this will still be presented due to its demographic importance. POETA EAST Reached settlements State County Assessed settlements OCHA (COD) settlements Cover percentage Central Equatoria Juba 8 98 4% Kajo-Keji 0 64 0% Lainya 5 6% Morobo 0 5 0% Terekeka 4 5 4% Yei 4 4 6% Eastern Equatoria Budi 5% Ikotos 9 9 4% Kapoeta East 4 495 5% Kapoeta North 5 8% Kapoeta South 7 54 % Lopa 4 98 4% Magwi 6 5% Torit 4 5 6% Western Equatoria Ezo 8 4 6% Ibba 87 % Maridi 9 0 9% Mundri East 8 9 7% Mundri West 0 59 6% Mvolo 6 4 4% Nagero 46 4% Nzara 6 6 % Tambura 8 6 5% Yambio 5 06 %
New arrivals Push factors Pull factors Previous location Displacement Primary reported reason newly arrived IDPs left their previous location: Primary reported reason newly arrived IDPs came to their current location: Most recent previous locations reported by newly arrived IDPs: Departure from most recent previous location by newly arrived IDPs: Lack of security 76% Lack of food % Tensions with community % Security 5% Joining family 4% Access to food 8% Yambio County 76% Budi County 6% Kapoeta East County 6% 0+6+6+88+A 0% 6% October 07 6% September 07 88% August 07 or before Displacement Local community Demographic composition Demographic composition Reported gender ratio of IDPs in assessed Reported gender ratio of local community remaining in reporting presence of IDPs: More women than men 77%77+5+6+ About equal 5% More men than women 6% All/almost all women % Reported age ratio of IDPs in assessed More children than adults 50% More adults than children 0% About equal 5% All/almost all adults % All/almost all elderly % All/almost all children % 50+0+5+++ reporting local community remaining: More women than men 67% About equal 7% More men than women % All/almost all women % More adults than children 8% More children than adults % About equal % All/almost all adults 5% All/almost all children % 67+7++ 8+++5+ Reported age ratio of local community remaining in
Health Shelter/NFI Health concerns Primary reported heath concern in assessed Malaria 6% Typhoid 5% Diarrhoea 7% 4 Malnutrition 4% 5 Hepatitis % 6+5+7+4+ Healthcare distance reporting access to health care: Reported distance of nearest healthcare facilities from Under 0 minutes % 0 minutes to under hour 4% hour to under half a day 4% Half a day % +4+4+ reporting tukuls as a primary shelter type for local community: reporting tukuls as a primary shelter type for IDPs: Healthcare unavailability Primary reported reason why healthcare facilities are not available from Facilities were never available 6% No drugs % Facilites destroyed by violence 6 0 Feeding programmes 0% 78++0+A Reported availability of feeding programmes that provide Plumpy Sup, CSB++ or other nutrition supplements in 78% % Shelter damage Reported destruction or partial destruction of shelters by violence in 84+6+0+A 84% No 6% Yes NFI Needs Primary reported non-food item needed to meet needs of IDPs in assessed settlements with IDPs present: Blanket 4%4+7+6+0+9 Mosquito net 7% Cooking pot 6% 4 Plastic sheet 0% 5 Sleeping mat 9%
Food Security WASH Market distance Reported distance of nearest market from Under 0 minutes 7% 0 minutes to under hour % hour to under half a day 0% Half a day % 7++0+ Water distance Reported distance of nearest water source from Under 0 minutes % 0 minutes to under hour 44% hour to under half a day % Half a day % +44++ reporting adequate access to food: Food unavailability Primary reason settlements reported an inability to adequately access food: Unsafe access to land 8% Crops destroyed by fighting Lack of rain reduced previous harvest 8 % % reporting presence of a functional borehole: Water availability Reported availability of a functional borehole from 50+50+0+A 50% 50% Coping strategies Land availability Market availability Sanitation Water sources Average number of reported coping strategies used in 5. coping strategies reported on average Safe or unsafe water source Reported availability of land for agriculture in assessed 75+5+A 5% 75% Reported availability of a functioning market accessible from 5+47+0+A 5% 47% Reported use of sanitation facilities over open defecation in All 0%0++8+8+ More than half % Half 8% Less than half 8% None % Reported primary water source available from Borehole 5% Swamp 7% Pond 0% Protected well 0% Water yard 9% Water truck 4% 5+7+0+0+9+4 4
Education Protection School attendance Reported proportion of settlements where 6-7 years old boys and girls attend school: 0% None % 5% Less than half 47% 0% Half 4% 45% More than half 8% 0% All 0% Accelerated learning programmes. reporting access to education: Education availability Reported available education services in None 46% Pre-primary % Primary 5% Secondary 6% ALP % Vocational % Primary reported reason why boys are not attending school in Fees are too high 75% No supplies 9% 46++5+6++ Education attendance and availability Primary reported reason why girls are not attending school in Fees are too high 69% Need to work in home 0% 69 0 759 6055% Primary reported reason why education services are not available in No available facilities 60% Facilities destroyed by violence 5 Women concern in Domestic violence 5% Sexual violence 4% Family separation % 4 Forced recruitment 5% 5 4% Girls concern in Early marriage 46% Sexual violence 5% Domestic violence 5% 4 Family separation % 5 Looting % Men concern in Cattle raiding 8% About REACH REACH facilitates development of information tools and products that enhance 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. Killing/injury by other community 7% 9% 4 Family separation 9% 5 Looting 7% Boys concern in Forced recruitment 5% Cattle raiding % 0% 4 Domestic violence 9% 5 Looting 7% Community relations Reported relationships between IDPs, returnees 4 and local community in assessed Very Good % Good 7% Neutral % Poor 4% Land disputes Reported presence of disputes over land ownership in 7+8+0+A 7% No 8% Yes 4 Local community displaced and returned home, reported in 6% of assessed settlements