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IOM Nigeria DTM Emergency Tracking Tool (ETT) Report No.75

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DISPLACEMENT TRACKING MATRIX - Nigeria DTM Nigeria EMERGENCY TRACKING TOOL (ETT) DTM Emergency Tracking Tool (ETT) is deployed to track and provide up-to-date information on sudden displacement and other population movements ETT Report: No. 75 10 – 17 July 2018 Movements New Arrival Screening by Nutri�on Partners Arrivals: Children (6-59 months) Niger Abadam Chad 7,035 individuals screened for malnutri�on 374 Mobbar Lake Chad MUAC Category of screened children Departures: 94 Kukawa 1,267 individuals Green: 219 Yellow: 94 Red: 61 Guzamala 55 126 Within the period of 10 – 17 July 2018, a total of 8,302 movements were 5 Gubio 9 Nganzai 11 recorded, including 7,035 arrivals and 1,267 departures at loca�ons in 105 Monguno Marte Askira/Uba, Bama, Biu, Chibok, Damboa, Demsa, Dikwa, Fufore, Girei, Gombi, Magumeri Ngala Gubio, Guzamala, Gwoza, Hawul, Hong, Jere, Konduga, Madagali, Mafa, 120 211 Mafa Jere Kala/Balge Magumeri, Maiduguri, Maiha, Michika, Mobbar, Monguno, Mubi-North, 81 Dikwa 40 Mubi-South, Ngala, Nganzai, Numan, Yola-North And Yola-South Local Maiduguri 175 11 Government Areas (LGAs) of Adamawa and Borno States. Bama Kaga 195 Konduga Assessments iden�fied the following main triggers of movements: fear of 793 a�acks/communal clash (42%), poor living condi�ons (24%), voluntary Borno Gwoza reloca�on (18%), improved security (9%), ongoing conflict (3%), military Damboa 430 opera�ons (3%) and farming ac�vi�es (1%). 15 Chibok Madagali46 Number of individuals by movement triggers 466 Biu 17 293 Askira/Uba 83 Michika Fear Of A�ack/ 100 77 3,498 Kwaya Kusar Hawul Hong 35 Communal clash Bayo 174 78 31 Mubi North Poor Living Condi�ons 1,988 Gombi 49 Shani 20 91 35 Mubi South 16 47 Voluntary Reloca�on 1,500 Maiha Waterbodies Shelleng 89 Guyuk Song Regional boundary Improved Security 727 Adamawa 33 Lamurde Sate boundary Lac de Lere 284 LGA boundary Ongoing Conflicts 291 Demsa Girei Chad Numan 22 Fufore Inaccessible areas 480 Yola SouthYola North Military Opera�on 211 85 61 18 34 30 Cameroon Movements Farming Ac�vi�es 87 ARRIVAL DEPARTURE Lagdo Reservoir Affected popula�on Arrivals from Cameroon 2,975 73 Jada and Niger Republic ARRIVAL RETURNEES 6% DEPARTURE Ganye 258 Number of individuals 11 - 85 99 Toungo 86 - 211 212 - 466 467 - 793 9ID1%Ps 794 - 3048 94% CAMEROON NIGER REPUBLIC Summary of major movements DEMSA: 2,975 arrivals and 73 departures were recorded in Demsa LGA of Adamawa State. These include 1,562 arrivals at Borrong ward of Demsa from surrounding wards (Luru, Tikka and Sabon Pegi); 1,400 arrivals at Kpasham ward of Demsa LGA from Lau in Taraba State; 13 arrivals at Nassarawo ward of Demsa from Borrong ward of Demsa; and 73 individuals who le� Borrong/Kpasham wards of Demsa for Yola-South/Yola-North LGAs. Movements in these areas were due to fear of a�acks and ongoing communal clash involving farmers and nomadic herdsmen in the region, which has since escalated with the rainy/farming season. BAMA: 793 arrivals were recorded in Gwoza LGA of Borno State. These include 597 arrivals at GSSSS Camp and 196 arrivals at Banki Camp from surrounding wards. The main movement triggers include poor living condi�ons and voluntary reloca�on. NUMAN: 284 arrivals and 480 departures were recorded at Numan LGA of Adamawa State. The arrivals include 134 individuals from Lau LGA of Taraba State, 78 individuals from Demsa LGA, 68 individuals from Bolki/Bare ward of Numan LGA and 4 individuals from Yola-South LGA. The arrivals were due to fear of a�acks and ongoing communal clash in Demsa LGA and its surroundings, however, 480 individuals subsequently le� Numan LGA to return to Demsa a�er the panic subsided. BIU: 466 arrivals were recorded at Yawi ward of Biu LGA in Borno State. These include 246 arrivals from Damboa and 204 arrivals from Buratai ward of Biu LGA. The movements were voluntary. IOM’s Emergency Tracking Tool (ETT) is deployed in Nigeria’s northeastern states. Only Local Government Areas (LGAs) in which the IDP population changed since the latest DTM round of assessments are represented in this report. The data has been collected by DTM sta deployed at the locations listed and cross-checked with the partners present on the ground. New Arrival Malnutri�on Screening Summary (children 6-59 months) An exhaus�ve nutri�on screening using mid upper arm circumference MUAC Categories/Oedema (MUAC) and Oedema for acute malnutri�on was conducted by UNICEF staff Green Yellow Red LGA (≥12.5cm) (11.5 cm - 12.5cm) (<11.5cm)/Oedema Total for 374 children of 6-59 months. Of the 374 children screened, the MUAC Bama 101 40 23 164 reading for 61 children were in the Red category, 94 were in the Yellow Dikwa 13 6 10 29 category and 219 were measured in the Green category. Gubio 0 1 0 1 Gwoza 58 31 16 105 Niger Abadam Chad Out of the total number of children screened, 255 were from inaccessible Mafa 0 2 4 6 Mobbar 31 8 0 39 Mobbar Lake Chad areas, 64 were from accessible areas and the rest from neighboring countries Ngala 16 6 8 30 94 Kukawa (including 49 from Cameroon & 6 from Niger Republic). Total 219 94 61 374 Guzamala MUAC Categories 55 126 The results also indicate that the propor�on of children with severe acute Green Yellow Red 5 malnutri�on (MUAC red) is slightly higher among children coming from Gubio 9 Nganzai Area (≥12.5cm) (11.5 cm - 12.5cm) (<11.5cm)/Oedema Total 11 In-Accessible 152 60 43 255 105 Monguno inaccessible areas compared to those coming from accessible areas or Marte Neighboring Countries 31 16 8 55 Magumeri Ngala neighbouring countries. All children found with severe acute malnutri�on Accessible 36 18 10 64 120 211 Mafa have been admi�ed in the treatment programme. Please note, these are not Total 219 94 61 374 Jere Kala/Balge 81 Dikwa assessment/surveillance results and should not be used as such. Properly Moderate Acute Malnutri�on Severe Acute Malnutri�on 40 nourished (MAM) (SAM) Maiduguri 175 11 Bama Kaga 195 Konduga Table 1. Details of movements by loca�ons of assessment and loca�ons of arrival/departure - only movements with more than 40 persons are listed below 793 Borno Tracking loca�on Arriving from/Depar�ng to Movement Details Gwoza Damboa 430 State LGA Ward State LGA Ward Arrival Departure 15 ADAMAWA DEMSA BORRONG ADAMAWA DEMSA LURU 1,530 - Chibok 46 Madagali KPASHAM TARABA LAU MAYOLOPE 1,400 - 466 Biu 17 293 MADAGALI MADAGALI BORNO GWOZA BULABULIN/WAKANE 255 Askira/Uba 83 Michika - 100 77 Kwaya Kusar Hawul MUBI SOUTH GUDE BORNO GWOZA BULABULIN/WAKANE - 47 Hong 35 Bayo 174 78 31 Mubi North NUMAN GAMADIO ADAMAWA NUMAN BOLKI 52 - Gombi 49 Shani 20 91 INBURU ADAMAWA DEMSA TIKKA - 465 35 Mubi South 16 47 NUMAN ADAMAWA DEMSA KPASHAM 51 - Maiha Waterbodies Shelleng 89 SABON PEGE TARABA LAU MAYOLOPE 134 - Guyuk Song Regional boundary Adamawa 33 YOLA SOUTH BOLE/YILDE PATI ADAMAWA DEMSA BORONG 80 - Lamurde Sate boundary Lac de Lere BORNO ASKIRA/UBA MUSSA BORNO ASKIRA/UBA UBA - 48 284 LGA boundary Demsa Girei Chad Numan 22 Fufore BAMA BUDUWA BORNO BAMA KOTEA KUMSHE 45 Inaccessible areas - 480 Yola SouthYola North 85 61 18 KUMSHE, ANDARA 67 - 34 30 Cameroon Movements SHEHURI BORNO BAMA DARAJAMAL 335 - SOYE 235 - Lagdo Reservoir BIU YAWI BORNO BIU BURATAI 204 - 2,975 73 Jada DAMBOA MARGHI 246 - ARRIVAL DIKWA DIKWA CENTRAL BORNO DIKWA AFUYE 55 - DEPARTURE Ganye NGALA WARSHELE 43 - Number of individuals 11 - 85 GUZAMALA GOWURAM BORNO GUZAMALA KINGARWA 53 - Toungo 86 - 211 MAIRARI BORNO MONGUNO MONGUNO 4 3 - 212 - 466 GWOZA BULABULIN/WAKANE BORNO GWOZA WALA/WARABE/DURE 40 - 467 - 793 PULKA/BOKKO BORNO BAMA BUDUWA 84 - 794 - 3048 GWOZA CHIKIDE 40 - CAMEROON MARWA (CAMEROON) KIRAWA 107 - HAWUL GEIME DOMCHABA BORNO DAMBOA AJIKIN 63 - KOYA BURA YOBE GEIDAM KALGERI 45 - KWAJAFFA HARRANG ADAMAWA MUBI SOUTH GASHIKA 42 - KONDUGA MAILARI/GAMBARI BORNO KONDUGA DALWA 91 - MAFA MAFA BORNO MAFA GAWA 75 - MAGUMERI GAJIGANNA 1 BORNO KONDUGA AUNO 48 - MOBBAR DAMASAK NIGER REPUBLIC DIFFA (NIGER REPUBLIC) SHETTIMARI 94 - NGALA NGALA CAMEROON MARWA (CAMEROON) WARO 116 - NGANZAI GAJIRAM BORNO NGANZAI ALARGE 48 - The depiction and use of boundaries, geographic names, and related data shown on maps and included in this report are not warranted to be error free nor do they imply judgment on the legal status of any territory, or any endorsement or acceptance of such boundaries by IOM. For more informa�on or to report an alert, please contact: Henry Kwenin, DTM Project Coordinator: [email protected] | +234 9038852524 Fouad Diab, Emergency Coordinator: [email protected] | +234 9075070001 DTM informa�on products: h�p://nigeria.iom.int/dtm Humanitarian Aid And Civil Protec�on.
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    FUTY Journal of the Environment, Vol. 4, No. 1, 2009 1 © School of Environmental Sciences, Federal University of Technology, Yola-Nigeria. ISSN 1597-8826 ((©© School of Environmental Sciences, Federal University of Technology, Yola-Nigeria. ISSN 1597-8826 MEASURING LANDCOVER INDICIES OF ADAMAWA STATE USING REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEM (GIS) TECHNIQUES A. A. Musa1 and A. L. Tukur2 1Department of Surveying and Geoinformatics, Federal University of Technology, Yola 2Department of Geography, Federal University of Technology, Yola ABSTRACT Areas covered by marshlands, highlands and plains were needed in each local government area (LGA) as the bases for allocating funds to the LGAs. In recognition of the fact that ground survey techniques are very labor intensive, consumes a lot of time and generally inconveniencing, a GIS technique was adopted. Satellite images of the state were sub divided along the LGA boundaries. Highlands were located visually and digitized into vector polygons, and then by using the polygon tool of the GIS, areas covered by the polygons were determined. The image classification routine was used to isolate marshlands. By going to the ‘Raster Tools…’ menu and specifying the ‘Display/Edit Raster Attributes’ tool, the areas covered by the marshlands were also determined. Areas covered by plains on the other hand were determined indirectly. The area covered by highlands (already computed) was subtracted from the total area of the LGA by using manual qualitative deduction. Since highlands and plains are mutually exclusive, the result of the subtraction is the area covered by plains. It was observed that LGAs with the highest percentage of marshlands are those which R.Benue pass through.
  • IOM Nigeria DTM Emergency Tracking Tool (ETT)

    IOM Nigeria DTM Emergency Tracking Tool (ETT)

    DTM DISPLACEMENT TRACKING MATRIX - Nigeria Nigeria EMERGENCY TRACKING TOOL (ETT) The DTM Emergency Tracking Tool (ETT) is deployed to track and to collect informa�on on large and sudden popula�on movements, provide frequent updates on the scale of displacement and quan�fy the affected popula�on when needed. As a s ubcomponent of the Mobility Tracking methodology in Nigeria, ETT u�lises direct observa�on and a broad network of key informants to capture best es�mates of the affected popula�on per loca�on, enabling targeted humanitarian response planning. Chad ETT Report: No. 228 | 14 - 20 June 2021 Lake Chad MOVEMENTS NEW ARRIVAL SCREENING BY NUTRITION PARTNERS Niger Arrivals: 1,352 individuals 77 Abadam Mobbar Kukawa Departures: 22 Mobbar 64 11 2 Guzamala Dikwa 596 individuals Askira/Uba Between 14 and 20 June 2021, a total of 1,948 movements were recorded in the states of 160 Monguno Gubio Adamawa and Borno. The recorded movements consisted of 1,352 arrivals and 596 Nganzai 125 departures. Arrivals were recorded at locations in Askira/Uba, Bama, Gwoza, Hawul and Marte Ngala Kala/Balge Monguno Local Government Areas (LGAs) of the most conflict-affected state of Borno and Magumeri Mafa 76 in Demsa, Fufore, Girei, Gombi, Hong, Lamurde, Maiha, Michika, Mubi North, Mubi Jere Dikwa South, Numan, Song, Yola North and Yola South LGAs of Adamawa. Maiduguri Cameroon Borno Bama Kaga Konduga Departures were recorded in Askira/Uba, Hawul and Kala/Balge LGA of Borno, and 20 150 Gombi Demsa, Fufore, Gombi, Lamurde, Madagali, Maiha, Mubi North, Mubi South, Numan, Yola Gwoza 132106 Gwoza North and Yola South LGAs of Adamawa.