Biometric Registration IOM DISPLACEMENT TRACKINGMATRIX S O U T H S U DAN Nasir, Upper Publication: 27 January 2020 Registration sites Population profile

Sudan 16,014 90,480 Baliet SOUTH Households Individuals

Longochuk HOST Uganda IDPs RETURNEES COMMUNITY

! Kiech Kuon Pamach ! 3,404 7,470 79,606 Doma Ngueny ! Kiechkuon Longochuk ! Malual Gaireng ! 4% 8% 88%

Roam Legend ! Male Female Population groups 28,432 0 -18 years 28,368 Mading Meer Gum ! Mading 32,000 Luakpiny/Nasir 12,443 +18 years 21,237 ! Roam_2 !Dingkar ! Ulang IDPs Maiwut Returnees Host community Male 45.2% Female 54.8% Road Ulang !Nasir River Maker Roam_1 ! ! 1.8% 2.1% ! 60+ Settleme!Ynotmsding Mandeng Country Jikmir 12.0% 21.3% ! 18-59 State !Kuerenge-Ke Jikmir Maker County 18.5% 5-17 19.1% BMR County Makak 12.9% 0-4 12.2% NDyiscirlaoiml er: This map is for 0 16.5 illustration purposes only. Kilometers Names and boundaries on this map Ethiopia do noAt imkpoly bofoficial endoresement The Registration in Makak took place close to because the population move seasonally for cattle protection and feeding or acceptance by IOM. Household size The international Organization for Migration’s (IOM) Displacement Tracking Matrix 1 3% (DTM) in partnership with the World Food Programme (WFP) and World Vision 2 4% International (WVI) conducted a biometric registration exercise in , between March and June 2019 covering 10 locations. The exercise was 3 10% conducted in two phases at registration sites along the (Jikmir, Makak, 4 15% Maker, Mandeng) which were accessed via boat from March to April 2019, while 5 18% registration sites for in-land locations (Garieng, Gum 1, Gum 2 (Meer), Kiechkuon, 18% Mading, Ngueny) were covered from May to June 2019. 6 7 12% DTM registered a total of 90,480 individuals (16,014 households) during the exercise. 8 8% Population categories were disaggregated during the registration to categorize Over 9 11% Mobile teams enabled DTM to reach populations that were otherewise unable to Breastfeeding 74% travel to registration sites due to physical imparements or due to communal tensions. Pregnant 10% DTM collected data on vulnerabilities where 13 per cent of the registered individuals were categorized as having one or more vulnerabilities including visual impairment, Physical disability 10% physically disadvantaged, single-parent headed households and serious medical Unaccompanied 1% conditions. Counties of habitual residence Top four ranked Renk “counties of habitual residence” 4 - 10 Melut (n=4,134) other locations in and from

Malakal 11 - 38 Baliet Rubkona Longochuk Fangak abroad. The adjacent map represents the 39 - 70 Luakpiny (Nasir) 81% Luakpiny (Nasir) Maiwut Nyirol Ulang Ayod 71 - 198 Leer habitual residence for 4,134 out of 90,480 Akobo Panyijar Duk Uror Wau 5% 199 - 3,363 Twic East registered individuals having arrived from Bor South Country SOUTH SUDAN 3% Ul ang

State this group cited Nasir as habitual residence County 2% Bor South (81%) followed by Malakal (5%). 0 2040 80 120 160 Kilometers Please note that this sub-set is not representative of the whole group.

For further information, contact DTM South Sudan at [email protected] The names and boundaries on the maps in this document do not DTM IS SUPPORTED BY of South Sudan or IOM. This document is for planning purposes only. IOM cannot guarantee that this document is error free and therefore will accept no liability for consequential and indirect damages arising from the use of this product.