30062019 OCHA ETH Benishangul Gumuz

Total Page:16

File Type:pdf, Size:1020Kb

30062019 OCHA ETH Benishangul Gumuz ETHIOPIA DRAFT 3W:East Operational & West Wellega, Presence Kamashi, - East Assosa & West zones Wellega Human (Oromia),itarian Kamashi Presence and Overview Assosa (BG) As of 30 June 2019 17 6 6 2 3 Number of Organisations EAST WELLEGA ZONE UN Agencies International National Government Partners: UN Agencies, DIGA (8 Partners) GUTO GIDA (8 Partners) Government, NGOs NGOs NGOs 13-15 16- 19 20 - 22 WFP, SCI, ZHO, UNICEF WFP, SCI, UNICEF, ZHO UNICEF, ZWO SCI, WHO, ZHO WEST WELLEGA ZONE Number ofDila Partners Town (10 Partners) WHO, SCI, ZHO BOJI DIRMEJI LALO ASABI (9 Partners) Dila UNICEF, ZHO, IOM WFP, MCMDO, UNICEF, ZHO Abaya UNFPA, ZoWCA WHO, ZHO 1-6 7-9 Zuria10-15 UNICEF, UNFPA, ZoWCA MCMDO, WHO, ZHO, IOM MCMDO, ZHO, WFP Wenago GIDA AYANA (8 Partners) SCI UNICEF. ZHO Sherkole UNICEF, ZHO Bule WFP,ZHO,UNICEF, SCI Kurmuk EAST GOJAM UNFPA, ZoWCA, UNHCR METEKEL LIMU (8 Partners) WVE, UNICEF, UNFPA, Sodal GEDEO WHO, ZHO, SCI NRC UNHCR,ZoWCA Yirgachefe WFP, ZHO, UNICEF, GOAL UNICEF, SCI, ZWO GIMBI (7 Partners) LETA SIBU (7 Partners) Homosha Menge UNFPA, ZoWCA WHO,UNICEF,ZHO Kochere AAH, WHO AAH, WHO, ZHO UNICEF, ZHO Gelana HARO LIMU (13 Partners) ASSOSA Hambela UNHCR, UNFPA, UNICEF, AAH, ZHO, UNICEF, WFP Oda Bilidigilu AAH, UNICEF, ZHO, WFP IbantuWamena WFP, ZHO, SCI, UNICEF ZoWCA Gedeb Kiremu WHO, ZHO, IRC AAH, UNICEF AAH, UNICEF,ZHO Assosa Yaso SASIGA (11 Partners) Gida Ayana SCI, ZWO, UNICEF AAH AAH, UNFPA, ZoWCA Kercha WFP, UNICEF,SCI, ZHO Haro Limu AAH, UNFPA, ZoWCA AAH Bambasi Mendi Town Agalo Meti IOM, UNHCR, Goal Mana Sibu EAST WELLEGABirbirsa WHO,ZHO,UNICEF Kiltu Kara WVE, UNICEF, ZoWCA, AAH AAH Limu Kojowa HORO GUDIRU UNFPA, UNHCR UNICEF, SCI,EECMY, ZWO Leta Sibu Nejo KAMASHI KILTU KARA (8 Partners) NEJO (11 Partners) Bule Hora WELLEGA ASSOSA ZONE UNHCR, UNFPA,UNICEF Nejo Town ZoWCA, WVE, SCI AAH, WHO Suro BurgudaKamashi ODA BILIDIGILU (3 Partners) MCMDO, WHO, ZHO WEST WELLEGA Jarso Babo Belo Jeganfoy AAH AAH, IMC, UNICEF, WFP Gudetu Boji Dirmeji WEST GUJI Bila Seyo WVE, UNICEF, Goal MCMDO, ZHO, UNICEF, WFP Mao Komo Kondole AAH Special Begi Guliso Boji Chekorsa Sibu Sire IOM, NRC Sasiga AAH,UNICEEF, UNFPA, Lalo Asabi Guto Gida KAMASHI ZONE UNHCR,ZoWCA Gimbi Town Melka SodaGobu Seyo ODAKAMASHI BILIDIGILU (2 Partners) (2 Partners) BELO JEGANFOY (1 Partner) WVE, ZoWCA, UNICEF, Ayira Dugda Dawa AAH Gimbi UNFPA Homa Nekemte Town AAH AAH IOM IOM AAH Gaji Diga Wayu Tuka Yubdo Haru MANA SIBU (7 Partners) KELEM WELLEGA AAH (2 Partners) Boneya Boshe Goal YASO AAH, WVE, UNICEF, UNFPA, Leka Dulecha Goal, UNCHR ZoWCA Sayo Nole SODAL (1 Partner) AAH, WHO, ZHO Nole Kaba Wama Hagalo WEST AAH Partner presence data is collected at Dilla and Bule Hora town EOC through clusters and partnersBUNO Nunu Kumba AGELO METI (1 Partner) AAH, ZHO, UNICEF, WHO Jimma Arjo AAH Implementing partners as well as Program organisations with on-going activities are represented SHEWA AAH AAH Agency names in grey are implementing agencies ILU ABA BORA BEDELE AAH Food Secrurity information refers to 1st round CY2019 distribution. Agency names in blue are programme organizations AAH ORGANIZATION ACRONYMS SECTORS AAH Action Against Hunger UNHCR United Nations High Commissioner for Refugees EECMY Ethiopian Evangelical Church Mekane Yesus UNICEF United Nations Children’s Emergency Fund Coordination Nutrition GOAL Goal International WFP World FoodProgramme IOM International Organization for Migration World Health Organization WHO Education Protection IMC International Medical Corps WVE World Vision Ethiopia IRC International Rescue Committee ZHO Zonal Health Office Emergency Shelter and MCMDO Mothers & Children Multisectoral Development Organization ZoWCA Zonal office of Women and Children Affairs Food Security Non-Food Items NRC Norwegian Refugee Council ZWO Zonal Water Office SCI Save the Children International Water, Sanitation and Health Hygiene UNFPA United Nations Fund for Population Activities The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations. Creation Date : 10 July 2019 Source : Sectors and partners 5Ws matrix For suggestions/corrections: [email protected] More information: www.humanitarianresponse.info/operations/ethiopia www.unocha.org/ethiopia www.reliefweb.int/country/eth .
Recommended publications
  • Districts of Ethiopia
    Region District or Woredas Zone Remarks Afar Region Argobba Special Woreda -- Independent district/woredas Afar Region Afambo Zone 1 (Awsi Rasu) Afar Region Asayita Zone 1 (Awsi Rasu) Afar Region Chifra Zone 1 (Awsi Rasu) Afar Region Dubti Zone 1 (Awsi Rasu) Afar Region Elidar Zone 1 (Awsi Rasu) Afar Region Kori Zone 1 (Awsi Rasu) Afar Region Mille Zone 1 (Awsi Rasu) Afar Region Abala Zone 2 (Kilbet Rasu) Afar Region Afdera Zone 2 (Kilbet Rasu) Afar Region Berhale Zone 2 (Kilbet Rasu) Afar Region Dallol Zone 2 (Kilbet Rasu) Afar Region Erebti Zone 2 (Kilbet Rasu) Afar Region Koneba Zone 2 (Kilbet Rasu) Afar Region Megale Zone 2 (Kilbet Rasu) Afar Region Amibara Zone 3 (Gabi Rasu) Afar Region Awash Fentale Zone 3 (Gabi Rasu) Afar Region Bure Mudaytu Zone 3 (Gabi Rasu) Afar Region Dulecha Zone 3 (Gabi Rasu) Afar Region Gewane Zone 3 (Gabi Rasu) Afar Region Aura Zone 4 (Fantena Rasu) Afar Region Ewa Zone 4 (Fantena Rasu) Afar Region Gulina Zone 4 (Fantena Rasu) Afar Region Teru Zone 4 (Fantena Rasu) Afar Region Yalo Zone 4 (Fantena Rasu) Afar Region Dalifage (formerly known as Artuma) Zone 5 (Hari Rasu) Afar Region Dewe Zone 5 (Hari Rasu) Afar Region Hadele Ele (formerly known as Fursi) Zone 5 (Hari Rasu) Afar Region Simurobi Gele'alo Zone 5 (Hari Rasu) Afar Region Telalak Zone 5 (Hari Rasu) Amhara Region Achefer -- Defunct district/woredas Amhara Region Angolalla Terana Asagirt -- Defunct district/woredas Amhara Region Artuma Fursina Jile -- Defunct district/woredas Amhara Region Banja -- Defunct district/woredas Amhara Region Belessa --
    [Show full text]
  • From Dust to Dollar Gold Mining and Trade in the Sudan–Ethiopia Borderland
    From Dust to Dollar Gold mining and trade in the Sudan–Ethiopia borderland [Copy and paste completed cover here} Enrico Ille, Mohamed[Copy[Copy and and paste paste Salah completed completed andcover cover here} here} Tsegaye Birhanu image here, drop from 20p5 max height of box 42p0 From Dust to Dollar Gold mining and trade in the Sudan–Ethiopia borderland Enrico Ille, Mohamed Salah and Tsegaye Birhanu Cover image: Gold washers close to Qeissan, Sudan, 25 November 2019 © Mohamed Salah This report is a product of the X-Border Local Research Network, a component of the FCDO’s Cross- Border Conflict—Evidence, Policy and Trends (XCEPT) programme, funded by UKaid from the UK government. The programme carries out research work to better understand the causes and impacts of conflict in border areas and their international dimensions. It supports more effective policymaking and development programming and builds the skills of local partners. The views expressed do not necessarily reflect the UK government’s official policies. The Rift Valley Institute works in Eastern and Central Africa to bring local knowledge to bear on social, political and economic development. Copyright © Rift Valley Institute 2021. This work is published under a Creative Commons Attribution-NonCommercial-NoDerivatives License (CC BY-NC-ND 4.0) RIFT VALLEY INSTITUTE REPORT 2 Contents Executive summary 5 1. Introduction 7 Methodology 9 2. The Blue Nile–Benishangul-Gumuz borderland 12 The two borderland states 12 The international border 14 3. Trade and mobility in the borderlands 16 The administration of trade relations 16 Constraints on mobility 18 Price differentials and borderland trade 20 Borderland relations 22 4.
    [Show full text]
  • Ethiopia Bellmon Analysis 2015/16 and Reassessment of Crop
    Ethiopia Bellmon Analysis 2015/16 And Reassessment Of Crop Production and Marketing For 2014/15 October 2015 Final Report Ethiopia: Bellmon Analysis - 2014/15 i Table of Contents Acknowledgements ................................................................................................................................................ iii Table of Acronyms ................................................................................................................................................. iii Executive Summary ............................................................................................................................................... iv Introduction ................................................................................................................................................................ 9 Methodology .................................................................................................................................................. 10 Economic Background ......................................................................................................................................... 11 Poverty ............................................................................................................................................................. 14 Wage Labor ..................................................................................................................................................... 15 Agriculture Sector Overview ............................................................................................................................
    [Show full text]
  • From Dust to Dollar Gold Mining and Trade in the Sudan–Ethiopia Borderland
    From Dust to Dollar Gold mining and trade in the Sudan–Ethiopia borderland [Copy and paste completed cover here} Enrico Ille, Mohamed[Copy[Copy and and paste paste Salah completed completed andcover cover here} here} Tsegaye Birhanu image here, drop from 20p5 max height of box 42p0 From Dust to Dollar Gold mining and trade in the Sudan–Ethiopia borderland Enrico Ille, Mohamed Salah and Tsegaye Birhanu Cover image: Gold washers close to Qeissan, Sudan, 25 November 2019 © Mohamed Salah This report is a product of the X-Border Local Research Network, a component of the FCDO’s Cross-Border Conflict Evidence, Policy and Trends (XCEPT) programme, funded by UK aid from the UK government. XCEPT brings together leading experts to examine conflict-affected borderlands, how conflicts connect across borders, and the factors that shape violent and peaceful behaviour. The X-Border Local Research Network carries out research to better understand the causes and impacts of conflict in border areas and their international dimensions. It supports more effective policymaking and development programming and builds the skills of local partners. The views expressed do not necessarily reflect the UK government’s official policies. The Rift Valley Institute works in Eastern and Central Africa to bring local knowledge to bear on social, political and economic development. Copyright © Rift Valley Institute 2021. This work is published under a Creative Commons Attribution-NonCommercial-NoDerivatives License (CC BY-NC-ND 4.0) RIFT VALLEY INSTITUTE REPORT 2 Contents Executive summary 5 1. Introduction 7 Methodology 9 2. The Blue Nile–Benishangul-Gumuz borderland 12 The two borderland states 12 The international border 14 3.
    [Show full text]
  • Estimation of Elemental Concentrations of Ethiopia Coffee Arabica on Different Coffee Bean Varieties (Subspecies) Using Energy Dispersive X-Ray Florescence
    International Journal of Scientific & Engineering Research Volume 9, Issue 4, April-2018 149 ISSN 2229-5518 Estimation of elemental concentrations of Ethiopia Coffee Arabica on different coffee bean Varieties (Subspecies) Using Energy Dispersive X-ray Florescence H. Masresha Feleke1*, Srinivasulu A1, K. Surendra1, B. Aruna1, Jaganmoy Biswas2, M. Sudershan2, A. D. P. Rao1, P. V. Lakshmi Narayana1 1. Dept. of Nuclear Physics, Andhra University, Visakhapatnam -530003, INDIA. 2. UGC-DAE Consortium for Scientific Research, Trace element lab, Salt Lake, Kolkata 700 098, India Abstract: Using Energy Dispersive X-ray Florescence (EDXRF) Elemental analysis, Coffee cherry of Arabica subspecies produced in crop years of 2015/2016 in nine different parts of coffee growing Area in Ethiopa were analyzed and has been found four major elements P, K, Ca, S and eight minor elements Mn, Fe, Cu, Zn, Se, Sr, Rb, Br from Twenty coffee Arabica subspecies. The Samples were washed; dried; Grinding with mortar and finally pelletized. EDXRF analysis were carried the energies of the X-rays emitted by the sample are measured using a Si- semiconductor detector and are processed by a pulse height analyzer. Computer analysis of this data yields an energy spectrum which defines the elemental composition of the sample. The system detection calibration and accuracy check was performed through different countries reported values and analysis of NIST certified reference materials SRM 1515 (Apple leaves). Most of coffee beans sample were found to be a good agreements towards NIST standards and different countries reported values. Meanwhile discussed the elemental concentration and their biological effects on human physiology. Keywords: Coffee Cherry,IJSER Subspecies coffee, Elemental Concentration and EDXRF 1.
    [Show full text]
  • Oromo Liberation Front
    Human Rights Watch May 2005 Vol. 17, No. 7 (A) Suppressing Dissent Human Rights Abuses and Political Repression in Ethiopia’s Oromia Region Summary......................................................................................................................................... 1 Recommendations......................................................................................................................... 3 To the Government of the Federal Democratic Republic of Ethiopia and the Regional Government of Oromia State ................................................................................ 3 To International Election Observers..................................................................................... 4 To Donor Governments ......................................................................................................... 4 To the World Bank and United Nations Agencies Involved in Development in Ethiopia.................................................................................................................................. 5 Introduction................................................................................................................................... 6 Political Competition in Oromia ................................................................................................ 7 Historical Background.............................................................................................................. 7 Ethiopia and Oromia under EPRDF Rule ..........................................................................
    [Show full text]
  • Examining the Economic Impacts of Climate Change on Net Crop Income in the Ethiopian Nile Basin: a Ricardian Fixed Effect Approach
    sustainability Article Examining the Economic Impacts of Climate Change on Net Crop Income in the Ethiopian Nile Basin: A Ricardian Fixed Effect Approach Melese Mulu Baylie 1,2 and Csaba Fogarassy 3,* 1 Department of Economics, Debre Tabor University, Debra Tabor 272, Ethiopia; [email protected] 2 Department of Rural Development Engineering, Hungarian University of Agriculture and Life Sciences (Former Szent Istvan University), 2100 Gödöll˝o,Hungary 3 Institute of Sustainable Development and Farming, Hungarian University of Agriculture and Life Sciences (Former Szent Istvan University), 2100 Gödöll˝o,Hungary * Correspondence: [email protected] Abstract: Climate change affects crop production by distorting the indestructible productive power of the land. The objective of this study is to examine the economic impacts of climate change on net crop income in Nile Basin Ethiopia using a Ricardian fixed effect approach employing the International Food Policy Research Institute (IFPRI) household survey data for Ethiopia in 2015 and 2016. The survey samples were obtained through a three-stage stratified sampling technique from the five regions (Amhara, Tigray, Benishangul Gumuz, Oromia, and Southern Nation Nationality and People (SNNP) along the Nile basin Ethiopia. There are only 12–14% female household heads while there are 80–86% male households in the regions under study. In the regions, more than half of (64%) the Citation: Baylie, M.M.; Fogarassy, C. household heads are illiterate and almost only one-tenth of them (12%) had received remittance from Examining the Economic Impacts of abroad from their relatives or children. Crop variety adoption rate is minimal, adopted by the 31% Climate Change on Net Crop Income of farmers.
    [Show full text]
  • Administrative Region, Zone and Woreda Map of Oromia a M Tigray a Afar M H U Amhara a Uz N M
    35°0'0"E 40°0'0"E Administrative Region, Zone and Woreda Map of Oromia A m Tigray A Afar m h u Amhara a uz N m Dera u N u u G " / m r B u l t Dire Dawa " r a e 0 g G n Hareri 0 ' r u u Addis Ababa ' n i H a 0 Gambela m s Somali 0 ° b a K Oromia Ü a I ° o A Hidabu 0 u Wara o r a n SNNPR 0 h a b s o a 1 u r Abote r z 1 d Jarte a Jarso a b s a b i m J i i L i b K Jardega e r L S u G i g n o G A a e m e r b r a u / K e t m uyu D b e n i u l u o Abay B M G i Ginde e a r n L e o e D l o Chomen e M K Beret a a Abe r s Chinaksen B H e t h Yaya Abichuna Gne'a r a c Nejo Dongoro t u Kombolcha a o Gulele R W Gudetu Kondole b Jimma Genete ru J u Adda a a Boji Dirmeji a d o Jida Goro Gutu i Jarso t Gu J o Kembibit b a g B d e Berga l Kersa Bila Seyo e i l t S d D e a i l u u r b Gursum G i e M Haro Maya B b u B o Boji Chekorsa a l d Lalo Asabi g Jimma Rare Mida M Aleltu a D G e e i o u e u Kurfa Chele t r i r Mieso m s Kegn r Gobu Seyo Ifata A f o F a S Ayira Guliso e Tulo b u S e G j a e i S n Gawo Kebe h i a r a Bako F o d G a l e i r y E l i Ambo i Chiro Zuria r Wayu e e e i l d Gaji Tibe d lm a a s Diga e Toke n Jimma Horo Zuria s e Dale Wabera n a w Tuka B Haru h e N Gimbichu t Kutaye e Yubdo W B Chwaka C a Goba Koricha a Leka a Gidami Boneya Boshe D M A Dale Sadi l Gemechis J I e Sayo Nole Dulecha lu k Nole Kaba i Tikur Alem o l D Lalo Kile Wama Hagalo o b r Yama Logi Welel Akaki a a a Enchini i Dawo ' b Meko n Gena e U Anchar a Midega Tola h a G Dabo a t t M Babile o Jimma Nunu c W e H l d m i K S i s a Kersana o f Hana Arjo D n Becho A o t
    [Show full text]
  • The Impacts of Microcredit: Evidence from Ethiopia†
    American Economic Journal: Applied Economics 2015, 7(1): 54–89 http://dx.doi.org/10.1257/app.20130475 The Impacts of Microcredit: Evidence from Ethiopia† By Alessandro Tarozzi, Jaikishan Desai, and Kristin Johnson* We use data from a randomized controlled trial conducted in 2003–2006 in rural Amhara and Oromiya Ethiopia to study the impacts of increasing access to microfinance( on a) number of socioeconomic outcomes, including income from agriculture, animal husbandry, nonfarm self-employment, labor supply, schooling and indicators of women’s empowerment. We document that despite sub- stantial increases in borrowing in areas assigned to treatment the null of no impact cannot be rejected for a large majority of outcomes. JEL G21, I20, J13, J16, O13, O16, O18 ( ) eginning in the 1970s, with the birth of the Grameen Bank in Bangladesh, Bmicrocredit has played a prominent role among development initiatives. Many proponents claim that microfinance has had enormously positive effects among borrowers. However, the rigorous evaluation of such claims of success has been complicated by the endogeneity of program placement and client selection, both common obstacles in program evaluations. Microfinance institutions MFIs typi- ( ) cally choose to locate in areas predicted to be profitable, and or where large impacts / are expected. In addition, individuals who seek out loans in areas served by MFIs and that are willing and able to form joint-liability borrowing groups a model often ( preferred by MFIs are likely different from others who do not along a number of ) observable and unobservable factors. Until recently, the results of most evaluations could not be interpreted as conclusively causal because of the lack of an appropriate control group see Brau and Woller 2004 and Armendáriz de Aghion and Morduch ( 2005 for comprehensive early surveys .
    [Show full text]
  • OROMIA REGION - Regional 3W Map 07 December 2010
    OROMIA REGION - Regional 3W Map 07 December 2010 CRS I SC-UK V Legend W Amhara S d S Farm Africa R S i E R C Benishangul R A V E CRS CARE MfM C GOAL C P n R W S o i I International Boundary SC-Denmark A , t Gumuz Afar C L c C P K Action Aid C A CARE Welthungerhilfe A CRS S U I M - I ! O C C IMC S S G S a CARE A WVE S Regional Boundary , SC-Denmark R R c m i SC-Denmark Dera C C a S r R f u u u c i C U E A Action Aid t r S m r n u f GOAL e R m R a r A m E IMC r i E C A b a I L L a R R Zonal Boundary K CARE ! f F o C Action Aid H s A a Hidabu Abote m r ! A A g a A r J x a a e A a C r Christian Aid C O d a C d r m O a r b O IMC Action Aid i W a M CA RE o J e I a G F G G G u e ! g L t n b r b e i a i i n i J o E S m u D a d Farm Africa Gerar Jarso R CARE Woreda Boundary E IMC u e p Kuyu E a ! Kiltu Kara m A i n ! o R ! S R C r ! a L Abay Chomen B Debre Libanos o ! Abuna G/Beret A M m M e A H e l o C en a m ks e ina r u Yaya Gulele Abichuna Gne'a C Ch Abe Dongoro ! a h s ! e i t c r a g f a u Nejo t IMC a ! r CRS No Data /No Intervention g E J ! W ! l a x Kombolcha o e R o ! d V e O b B i o ! ! s Guduru G J ib it Goro Gutu ! a r m b a Gudetu Kondole FHI Ke W a Mercy Corps b a s B u i ! r B Boji Dirmeji o t a Bila Seyo e i ! a r Jimma Genete l J d K L e g t s l Jeldu u E a ! d D ! u F Haro Maya e Guto Gida b M S u A m A o e B e M l R i d ! Boji Chekorsa Jimma Rare S ! D CARE GOAL CRS b a B b u A o Aleltu l e ! Kurfa Chele A g I O u f e e y G i u a S Mieso r Agriculture & Livestock i C r s t ! T a Mida KegnA a M Lalo Asabi im r K a ! ! G S Gobu
    [Show full text]
  • D.Table 9.5-1 Number of PCO Planned 1
    D.Table 9.5-1 Number of PCO Planned 1. Tigrey No. Woredas Phase 1 Phase 2 Phase 3 Expected Connecting Point 1 Adwa 13 Per Filed Survey by ETC 2(*) Hawzen 12 3(*) Wukro 7 Per Feasibility Study 4(*) Samre 13 Per Filed Survey by ETC 5 Alamata 10 Total 55 1 Tahtay Adiyabo 8 2 Medebay Zana 10 3 Laelay Mayechew 10 4 Kola Temben 11 5 Abergele 7 Per Filed Survey by ETC 6 Ganta Afeshum 15 7 Atsbi Wenberta 9 8 Enderta 14 9(*) Hintalo Wajirat 16 10 Ofla 15 Total 115 1 Kafta Humer 5 2 Laelay Adiyabo 8 3 Tahtay Koraro 8 4 Asegede Tsimbela 10 5 Tselemti 7 6(**) Welkait 7 7(**) Tsegede 6 8 Mereb Lehe 10 9(*) Enticho 21 10(**) Werie Lehe 16 Per Filed Survey by ETC 11 Tahtay Maychew 8 12(*)(**) Naeder Adet 9 13 Degua temben 9 14 Gulomahda 11 15 Erob 10 16 Saesi Tsaedaemba 14 17 Alage 13 18 Endmehoni 9 19(**) Rayaazebo 12 20 Ahferom 15 Total 208 1/14 Tigrey D.Table 9.5-1 Number of PCO Planned 2. Affar No. Woredas Phase 1 Phase 2 Phase 3 Expected Connecting Point 1 Ayisaita 3 2 Dubti 5 Per Filed Survey by ETC 3 Chifra 2 Total 10 1(*) Mile 1 2(*) Elidar 1 3 Koneba 4 4 Berahle 4 Per Filed Survey by ETC 5 Amibara 5 6 Gewane 1 7 Ewa 1 8 Dewele 1 Total 18 1 Ere Bti 1 2 Abala 2 3 Megale 1 4 Dalul 4 5 Afdera 1 6 Awash Fentale 3 7 Dulecha 1 8 Bure Mudaytu 1 Per Filed Survey by ETC 9 Arboba Special Woreda 1 10 Aura 1 11 Teru 1 12 Yalo 1 13 Gulina 1 14 Telalak 1 15 Simurobi 1 Total 21 2/14 Affar D.Table 9.5-1 Number of PCO Planned 3.
    [Show full text]
  • ETHIOPIA: Benishangul Gumuz Region Flash Update 6 January 2021
    ETHIOPIA: Benishangul Gumuz Region Flash Update 6 January 2021 HIGHLIGHTS • Between end of July 2020 and 04 January 2021, more than 101,000 people were displaced by violence from A M H A R A Bullen, Dangur, Dibate, Guba, Mandura and Wombera Guba woredas of Metekel zone in Dangura Benishangul Gumuz Region 647 Pawe (BGR). 5,728 • Due to the deteriorating security situation in the zone, 12,808 Sedal Madira humanitarian access and life- Metekel saving assistance to the 28,000 returnees and 101,000 SUDAN B E N I SHA N G U L Sherkole G U M U Z new IDPs is challenging. Kurmuk • The regional Government has Wenbera Debati 23,121 been providing limited life- Menge 7,885 51,003 saving assistance since July Homosha Bulen 2020 using armed escorts. Undulu • Clusters at sub-national level Asosa Bilidigilu have been mapping resources Assosa Zayi but so far insecurity has not Kemeshi allowed transporting staff and Dembi O R O M I A commodities to affected Bambasi O R O M I A areas. Maokomo Kamashi • Special The federal Government is in C Mizyiga the process of establishing an Affected zone Emergency Coordination N A ## No. of IDPs per woreda Nekemte Center (ECC) in Metekel zone D UBLI to coordinate the P IDPs movement humanitarian response to the SU RE Humanitarian Western Hub IDPs. SOUTH OF SITUATION OVERVIEW Security in Metekel Zone of Benishangul Gumuz Region (BGR) has been gradually deteriorating since 2019, and more intensely so in recent months. On 23 December 2020, 207 individuals lost their lives in one day reportedly following an attack by unidentified armed groups (UAGs).
    [Show full text]