ETHIOPIA: East and West Wellega and Kamashi Zone- Partners Presence Map (As of 31 March 2019) Metekel

ETHIOPIA: East and West Wellega and Kamashi Zone- Partners Presence Map (as of 31 March 2019) Metekel Amhara Benishangul Gumz Metekel WFP/ORHB MSF-S SCI Oda Bilidigilu WFP/ORHB SUDAN WFP Sodal/Sirba Abay MSF-Spian Ibantu Assosa WFP/ORHB ORHB Kiremu WVE UNICEF FIDO WVE IRCYaso UNHCR MS-Spain ZWO/UNICEF Gida Ayana WFP/ORHB IOM AAH Mendi Town East Wellega WFP Agalometi WFP Haro Limu UNICEF/WCYAO ORHB Limu Mana Sibu MSF-S UNICEF Kiltu Kara Horo Gudru Wellega AAH Kemashi WVE UNHCR WFP/ORHB WFP FIDO Leta Sibu UNICEF/ORHB UNICEF WFP ICRC Nejo UNHCR SCI IMC MSF-S UNICEF/ Goal WFP WFP UNICEF Nejo Town WCYAO SCI WFP/ORHB West Wellega Kamashi ORHB UNHCR AAH Babo Jarso Belojiganfo IOM Boji Dirmeji IRC WFP FIDO Bila Seyo Maokomo Special Gudetu Kondole ZWO Begi WVI UNHCR MCMDO Boji Chekorsa UNICEFGuliso Guto Gida WVE MS-Spain MCMDO Sasiga Lalo Asabi IOM Gimbi Town Gobu Seyo WFP/ORHB WFP Gimbi WFP/ORHBSibu Sire Ayira IOM UNICEF/ORHB Sectors/Clusters IDP sites UNICEF Oromia IRC Homa UNICEF/WCYAO ES/NFI Known UNICEF/WCYAO Diga Nekemte Town West Shewa Cash Gaji IRC WVI Wayu Tuka Nutrition Not known UNHCR SMS Yubdo Haru UNICEF/ZWO IOM MCMDO Health IDP by Woreda ORHB SCI IRC WFP/ORHB Boneya Boshe WFP Leka Dulecha UNHCR Multi-sector 229 - 1,500 IOM AAH SCI Sayo Nole WASH Kelem Wellega UNICEF WFP 1,501 - 8,000 NoleIRC Kaba Wama Hagalo Protection IRC IOM UNICEF Boundaries 8,001 - 15,000 UNICEF ORHB Jimma Arjo Nunu Kumba International UNHCR UNHCR Region UNHCR Zone 15,001 - 30,000 Buno Bedele Woreda Ilu Aba Bora Icons in green are completed 30,001 - 87,400 Jimma IconsGambela in blue are ongoing Icons in orange are planning IDP data missing 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: 26 March 2019 Map Doc.:14_3W_Beni_Wellega_030619_A4 Sources:Humanitarian Partners Feedback: [email protected].

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Addis Ababa University
ADDIS ABABA UNIVERSITY COLLEGE OF EDUCATION AND BEHAVIORAL SCIENCES DEPARTMENT OF EDUCATIONAL PLANNING AND MANAGEMENT Thesis Report Challenges of Parental Involvement in Students' Learning At Boneya Boshe Woreda of East Wollaga Zone By Sekata Negewo Advisor: Getachew Adugna (PhD) June,2018 Addis Ababa CHALLENGES OF PARENTS’ INVOLVEMENT IN STUDENTS’ LEARNING AT BONEYA BOSHE DISTRICT OF EAST WOLLEGA ZONE By: Sekata Negewo Gobena Advisor: Getachew Adugna (PhD) A THESIS SUBMITTED TO THE DEPARTMENT OF EDUCATIONAL PLANNING AND MANAGEMENT IN PARTIAL FULFILLMENT FOR THE REQUIREMENTS OF MASTER OF ARTS IN SCHOOL LEADERSHIP JUNE, 2018 ADDIS ABABA UNIVERSITY Declaration The researcher here by declares that the thesis on the title; ―practices and challenges of parents‘ involvement in student‘s academic achievement: the case of Boneya Boshe Woreda Late Cycle Primary Schools.‘‘, is his original work and that all sources that have been referred to and quoted have been dully indicated and acknowledged with complete references. Name- Sekata Negewo Sign-__________________ Date- __________________ This thesis has been submitted for examination with my approval as the university advisor. Main advisor- Name -Getachew Adugna (Ph. D) Sign __________________ Date ___________________ Co- advisor- Name ______________ Sign _________________________ Date ________________________ Place: Addis Ababa University College of Education and Behavioral Science Department of Educational Planning and Management. Date of submission ___________________ ADDIS ABABA UNIVERSITY
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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 --
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Value Chain Analysis of Teff in East Wollega, Ethiopia
www.jard.edu.pl http://dx.doi.org/10.17306/J.JARD.2021.01313 Journal of Agribusiness and Rural Development pISSN 1899-5241 1(59) 2021, 17–28 eISSN 1899-5772 Accepted for print: 3.12.2020 VALUE CHAIN ANALYSIS OF TEFF IN EAST WOLLEGA, ETHIOPIA Temesgen Kabeta1, Jema Haji2, Rijalu Negash3 1Gambella University, Ethiopia 2Haramaya University, Ethiopia 3Jimma University, Ethiopia Abstract. This study attempted to analyze the teff value chain INTRODUCTION in the Jimma Arjo District of East Wollega Zone, Western Ethiopia. The multistage sampling technique was employed A value chain is crucial in enforcing standards, with to draw a sample of 123 teff producers, purposively selected each actor ensuring that the product originating from the 55 traders and 15 consumers. Both quantitative and qualita- previous stage meets the criteria. According to Bekabil tive data were collected from primary and secondary sources using pre-tested structured questionnaires and checklists. De- et al. (2011), the teff value chain program helps to dou- scriptive statistics and Kendall’s coefficient of concordance ble teff production. It ensures that farmers have access were applied to analyze data. Results showed that the main to sufficient markets to capture the highest value for teff value chain actors in the study area included input sup- their product. It also increases incomes and reduces the pliers, producers, local collectors, wholesalers, retailers, and price paid by consumers within five years. consumers. In the district, there were no proper upgrading In Ethiopia, land used for teff production during the practices and governance systems in the teff value chain. The 2017 production year was estimated at 3.02 million hec- predicted probability that teff producers choose local collec- tares, and 50.2 million quintals were produced with the tors, wholesalers, retailers, and consumer outlets amounted productivity of 16.64 quintals per hectare of land.
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D.Table 9.5-1 Number of PCO Planned 1
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Operational Dashboard SMS East Wellega May 2019
SITE MANAGEMENT SMS Operational Dashboard SUPPORT East Wellega (May 2019) Publication: 02 May 2019 DRAFT ETHIOPIA Overview Following the inter-communal conflict that erupted in late September 2018 around border areas of East and Operational presence of cluster partners (East Wellega) West Wollega Zones of Oromia Region and Kemashi Zone Benishangul-Gumz Region caused displacement of hundreds of thousands from both regions. As the situation remained tense and unsettled, IOM started Metekel life-saving interventions including SMS activities late January 2019. IOM SMS Programme is currently operate in 8 collective sites in East Wellega. The total number of IDPs reached by SMS is 12,256, with 2,097 household. Currently, SMS has deployed 8 staff on duty travel to support the IDP crisis in East Wellega Zone, coordinating with over 10 partners across the zone, both local and International NGOs, and UN agencies. Ibantu Key Figures Kiremu 12,256 2,097 8 8 Total Number of IDPs Total Number of IDPs Total Number of Collective Total Number of SMS Staff Supported by SMS deployed to support the Ops HH Supported by SMS Sites Supported by SMS Gida Ayana Horo Guduru Demographics Vulnerabilities Haro Limu 0% Unaccompanied children East Wellega 1 Male Female Haro Limu Limu (Oromia) 0% Orphaned children IOM, WFP, Gov’t, East Wellega 1 52% Individuals 48% 666 Guto Gida GOAL, ICRC, OCHA, 8% Pregnant and lactating Women IOM, Gov’t, WVI, 12% 0 - 5 years 11% IRC, SCI, FIDO, WVI. OCHA, FIDO, SCI 2% Elderly people 19% 6 -17 years 18% 20% 18-59 years 18% 0% People
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Contraceptive Use and Family Size Preferences Among Married Women of Reproductive Age in Jimma Arjo District of Eastern Wellega Zone in Oromia, Ethiopia
Research Reviews: Journal of Nursing and Health Sciences www.rroij.com Contraceptive Use and Family Size Preferences among Married Women of Reproductive Age in Jimma Arjo District of Eastern Wellega Zone in Oromia, Ethiopia Tadele Amente1*, Tariku Tesfaye1 and Mesfin Addise2 1Department of Nursing and Midwifery, College of Medical and Health Sciences, Wollega University, Nekemte, Oromia, Ethiopia 2School of Public Health, College of Medical and Health Science, Addis Ababa University, Addis Ababa, Ethiopia *For Correspondence: Amente T, Wollega University, Nekemte Town, Western Ethiopia, Tel: +251910119548; E-mail: [email protected] Received date: 03/11/2016; Accepted date: 15/02/2017; Published date: 23/02/2017 Copyright: © 2017 Amente T, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Research Article ABSTRACT Background: Ethiopia is one of Sub-Saharan Africa countries in which high fertility (5.4 births per woman) is observed. Family planning programs have always been considered as the interventions of choice for slowing population growth and family size preference is useful in suggesting its demand. Objective: The objective of this study was to assess contraceptive use and family size preferences among currently married women of reproductive age in Jimma Arjo district. Methods: Community based cross sectional study design was conducted from January to February 2011. A total of five kebeles were selected by lottery method from 22 kebeles in Jimma Arjo district, Oromia, Ethiopia and a total of 475 married women were interviewed using systematic random sampling technique.
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Benishangul-Gumuz Region
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31052019 West & East Wellega & Kemashi Assosa (BGR
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