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ETHIOPIA, SECOND QUARTER 2020: Update on Incidents According to the Armed Conflict Location & Event Data Project (ACLED) Compiled by ACCORD, 30 October 2020
ETHIOPIA, SECOND QUARTER 2020: Update on incidents according to the Armed Conflict Location & Event Data Project (ACLED) compiled by ACCORD, 30 October 2020 Number of reported incidents with at least one fatality Number of reported fatalities National borders: GADM, November 2015b; administrative divisions: GADM, November 2015a; in- cident data: ACLED, 3 October 2020a; coastlines and inland waters: Smith and Wessel, 1 May 2015 ETHIOPIA, SECOND QUARTER 2020: UPDATE ON INCIDENTS ACCORDING TO THE ARMED CONFLICT LOCATION & EVENT DATA PROJECT (ACLED) COMPILED BY ACCORD, 30 OCTOBER 2020 Contents Conflict incidents by category Number of Number of reported fatalities 1 Number of Number of Category incidents with at incidents fatalities Number of reported incidents with at least one fatality 1 least one fatality Violence against civilians 33 27 49 Conflict incidents by category 2 Battles 24 18 75 Development of conflict incidents from June 2018 to June 2020 2 Protests 10 3 20 Riots 9 2 2 Methodology 3 Strategic developments 4 0 0 Conflict incidents per province 4 Total 80 50 146 This table is based on data from ACLED (datasets used: ACLED, 3 October 2020a). Localization of conflict incidents 4 Disclaimer 5 Development of conflict incidents from June 2018 to June 2020 This graph is based on data from ACLED (datasets used: ACLED, 3 October 2020a). 2 ETHIOPIA, SECOND QUARTER 2020: UPDATE ON INCIDENTS ACCORDING TO THE ARMED CONFLICT LOCATION & EVENT DATA PROJECT (ACLED) COMPILED BY ACCORD, 30 OCTOBER 2020 Methodology GADM. Incidents that could not be located are ignored. The numbers included in this overview might therefore differ from the original ACLED data. -
An Analysis of the Afar-Somali Conflict in Ethiopia and Djibouti
Regional Dynamics of Inter-ethnic Conflicts in the Horn of Africa: An Analysis of the Afar-Somali Conflict in Ethiopia and Djibouti DISSERTATION ZUR ERLANGUNG DER GRADES DES DOKTORS DER PHILOSOPHIE DER UNIVERSTÄT HAMBURG VORGELEGT VON YASIN MOHAMMED YASIN from Assab, Ethiopia HAMBURG 2010 ii Regional Dynamics of Inter-ethnic Conflicts in the Horn of Africa: An Analysis of the Afar-Somali Conflict in Ethiopia and Djibouti by Yasin Mohammed Yasin Submitted in partial fulfilment of the requirements for the degree PHILOSOPHIAE DOCTOR (POLITICAL SCIENCE) in the FACULITY OF BUSINESS, ECONOMICS AND SOCIAL SCIENCES at the UNIVERSITY OF HAMBURG Supervisors Prof. Dr. Cord Jakobeit Prof. Dr. Rainer Tetzlaff HAMBURG 15 December 2010 iii Acknowledgments First and foremost, I would like to thank my doctoral fathers Prof. Dr. Cord Jakobeit and Prof. Dr. Rainer Tetzlaff for their critical comments and kindly encouragement that made it possible for me to complete this PhD project. Particularly, Prof. Jakobeit’s invaluable assistance whenever I needed and his academic follow-up enabled me to carry out the work successfully. I therefore ask Prof. Dr. Cord Jakobeit to accept my sincere thanks. I am also grateful to Prof. Dr. Klaus Mummenhoff and the association, Verein zur Förderung äthiopischer Schüler und Studenten e. V., Osnabruck , for the enthusiastic morale and financial support offered to me in my stay in Hamburg as well as during routine travels between Addis and Hamburg. I also owe much to Dr. Wolbert Smidt for his friendly and academic guidance throughout the research and writing of this dissertation. Special thanks are reserved to the Department of Social Sciences at the University of Hamburg and the German Institute for Global and Area Studies (GIGA) that provided me comfortable environment during my research work in Hamburg. -
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 -- -
ETHIOPIA - National Hot Spot Map 31 May 2010
ETHIOPIA - National Hot Spot Map 31 May 2010 R Legend Eritrea E Tigray R egion !ª D 450 ho uses burned do wn d ue to th e re ce nt International Boundary !ª !ª Ahferom Sudan Tahtay Erob fire incid ent in Keft a hum era woreda. I nhabitan ts Laelay Ahferom !ª Regional Boundary > Mereb Leke " !ª S are repo rted to be lef t out o f sh elter; UNI CEF !ª Adiyabo Adiyabo Gulomekeda W W W 7 Dalul E !Ò Laelay togethe r w ith the regiona l g ove rnm ent is Zonal Boundary North Western A Kafta Humera Maychew Eastern !ª sup portin g the victim s with provision o f wate r Measle Cas es Woreda Boundary Central and oth er imm ediate n eeds Measles co ntinues to b e re ported > Western Berahle with new four cases in Arada Zone 2 Lakes WBN BN Tsel emt !A !ª A! Sub-city,Ad dis Ababa ; and one Addi Arekay> W b Afa r Region N b Afdera Military Operation BeyedaB Ab Ala ! case in Ahfe rom woreda, Tig ray > > bb The re a re d isplaced pe ople from fo ur A Debark > > b o N W b B N Abergele Erebtoi B N W Southern keb eles of Mille and also five kebeles B N Janam ora Moegale Bidu Dabat Wag HiomraW B of Da llol woreda s (400 0 persons) a ff ected Hot Spot Areas AWD C ases N N N > N > B B W Sahl a B W > B N W Raya A zebo due to flo oding from Awash rive r an d ru n Since t he beg in nin g of th e year, Wegera B N No Data/No Humanitarian Concern > Ziquala Sekota B a total of 967 cases of AWD w ith East bb BN > Teru > off fro m Tigray highlands, respective ly. -
International Journal of Agriculture and Veterinary Sciences
www.iaard.net IAARD Journals eISSN:2456-009X International Journal of Agriculture And Veterinary Sciences IAARD-International Journal of Agriculture and Veterinary Sciences, 2018, 4(2),11-15 Occurrence and prevalence of Metazoan Parasites in farmed Nile tilapia (Oreochromusniloticus) and Commoncarp (Cyprinuscarpio) in Sebeta fish farm, Sebeta, Ethiopia *Marshet Adugna Mitiku *EthiopianInstitute of Agricultural Research, National Fishery and Aquatic Life Research Center, Sebeta, Ethiopia P. O. Box 64, Sebeta, Ethiopia Email: [email protected] ………………………………………………………………………………………………………………………………………………………….. Abstract: Fish farming is the fastest growing sector of agriculture worldwide but many factors affect its development including fish parasites. A cross sectional study was conducted from November, 2016 to April, 2017 with the objective of identifying and determining the prevalence of internal parasites of fish from Nile tilapia and Common carp in Sebeta fish farm.Parasite identification was done based on the standard protocols and available manuals. The overall prevalence of internal parasites infection in the two species of fish was 46.67%. The risk factors considered in this study including sex and size of fish for the prevalence of internal parasite infestation showed statistically significant difference (P< 0.05). However, there was no statistically significant difference (p>0.05) in the prevalence of the parasite between the two species of fish. The highest prevalent parasite was the trematode Clinostomum species(13.6%) followed by Cestode Botherocephalus species and Nematode Contracaeum species. The lager sized fish are found highly infested than smaller sized fish. It is therefore important to control intermediate host, washing and disinfecting of ponds regularly and keeping good quality water as a means of prevention of the occurrence of internal parasites. -
Next Stage for Dairy Development in Ethiopia
The NEXT STAGE IN DAIRY DEVELOPMENT FOR ETHIOPIA Dairy Value Chains, End Markets and Food Security Cooperative Agreement 663-A-00-05-00431-00 Submitted by Land O'Lakes, Inc. P.O. Box 3099 code 1250, Addis Ababa, Ethiopia November 2010 2 TABLE OF CONTENT Pages ACRONYMNS…………………………………………………………………………………. 5 EXECUTIVE SUMMARY …………………………………………………………………... 6 1. OVERVIEW OF THE DAIRY SUB-SECTOR STUDY………………………………….10 1.1. The Role of the Dairy Sub-Sector in the Economy of Ethiopia 1.1.1. Milk Production and its Allocation 1.1.2 Livestock and Milk in the household economy 1.2. The Challenges 1.3. A Value Chain Approach 1.4. The Tasks and the Study Team 2. DEMAND FOR MILK AND MILK PRODUCTS…………………………………….…. 15 2.1. Milk Consumption 2.1.1. Milk and Milk Product Consumption in Urban Areas 2.1.2. Milk and Milk Product Consumption in Rural Areas 2.1.3. Milk and Milk Product Consumption in Pastoral Areas 2.2. Milk Consumption Compared to Other Countries 2.3. Milk’s Role for Food Security and Household Nutrition 2.4. Consumption of Imported Milk Products by Areas and Product Categories – domestic and imported 2.5. Milk Consumption in 2020 2.5.1.. High Estimate 2.5.2. Middle of the Range Estimate 2.5.3. Low Estimate 2.6. Assessment 3. DAIRY PRODUCTION……………………………………………………………..…… 30 3.1. Current Situation 3.2. Milk Production Areas (waiting on the maps) 3.3. Production systems and Milk Sheds (see zonal data in annex 3.3.1. Commercial Production 3.3.2. Peri-Urban and Urban Production 3.3.3. -
FOREWORD Statistical Data That Reflect the Socio-Economic And
FOREWORD Statistical data that reflect the socio-economic and demographic conditions of the residents of a country are useful for designing and preparation of development plans as well as for monitoring and evaluation of the impact of the implementation of the development plans. These statistical data include population size, age, sex, literacy and education, marital status, housing stocks and conditions …etc. In order to fill the gap for these socio-economic and demographic data need, Ethiopia has conducted its third Population and Housing Census in the months of May and November 2007. The 2007 Population and Housing Census of Ethiopia was conducted under the auspices of the Population Census Commission that was established by a proclamation No. 449/1997. The Commission is chaired by the Deputy Prime Minister and the members of the commission were drawn from various relevant Ministries, Regional state representatives, House of Federation, National Electoral Board and the Central Statistical Agency, serving as the Office of the Census Commission (Secretariat). According to the proclamation, the processing, evaluation and analyses of the data collected in this census as well as its dissemination are the major responsibilities of this office. Thus, the Office of the Population Census Commission is pleased to present the census report entitled “The 2007 Population and Housing Census of Ethiopia: Statistical Report for Addis Ababa City Administration” for the users. Subsequently, another report which deals with detailed analysis of the result of the 2007 Population and Housing Census data is in the process of being prepared and will also be prepared and printed soon. Before the conduct of a census enumeration, numbers of preparatory activities were also carried-out. -
The Case of Dessie Zuria Woreda
CORE Metadata, citation and similar papers at core.ac.uk Provided by International Institute for Science, Technology and Education (IISTE): E-Journals Journal of Economics and Sustainable Development www.iiste.org ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online) DOI: 10.7176/JESD Vol.10, No.5, 2019 Determinants of Households Saving Capacity and Bank Account Holding Experience in Ethiopia: The Case of Dessie Zuria Woreda Bazezew Endalew College of Business and Economics, Department of Economics, Wollo University, Dessie, Ethiopia Abstract This research has been an attempt to identify the major determinants that affect households saving capacity and their experience of adopting formal financial institutions (banks) in the case of Dessie Zuria Woreda. To do so, an individual base cross-sectional data analysis along with the two stage sampling technique of both purposive and random sampling technique was undertaken. To analyze the data, the study employed two sets of models (logistic and the method of principal component analysis). The econometric results of the study indicates that determinants like lack of credit access, lack of financial planning, complexity of banking system, monthly expenditure on stimulants, sex, significantly and negatively affects households saving capacity, but monthly income, age, bank account holding experience, marital status, and occupation positively and significantly affects saving capacity. In similar fashion, determinants include improper government policy, weak institutional set up, complexity of banking system, distance in Km away from their home to financial institutions, and religion significantly and negatively affect the probability of households to be banked, on the other hand, sex of households, credit access, income, marital status, education and age positively and significantly affects the probability of households to be banked. -
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. -
Ethiopia COI Compilation
BEREICH | EVENTL. ABTEILUNG | WWW.ROTESKREUZ.AT ACCORD - Austrian Centre for Country of Origin & Asylum Research and Documentation Ethiopia: COI Compilation November 2019 This report serves the specific purpose of collating legally relevant information on conditions in countries of origin pertinent to the assessment of claims for asylum. It is not intended to be a general report on human rights conditions. The report is prepared within a specified time frame on the basis of publicly available documents as well as information provided by experts. All sources are cited and fully referenced. This report is not, and does not purport to be, either exhaustive with regard to conditions in the country surveyed, or conclusive as to the merits of any particular claim to refugee status or asylum. Every effort has been made to compile information from reliable sources; users should refer to the full text of documents cited and assess the credibility, relevance and timeliness of source material with reference to the specific research concerns arising from individual applications. © Austrian Red Cross/ACCORD An electronic version of this report is available on www.ecoi.net. Austrian Red Cross/ACCORD Wiedner Hauptstraße 32 A- 1040 Vienna, Austria Phone: +43 1 58 900 – 582 E-Mail: [email protected] Web: http://www.redcross.at/accord This report was commissioned by the United Nations High Commissioner for Refugees (UNHCR), Division of International Protection. UNHCR is not responsible for, nor does it endorse, its content. TABLE OF CONTENTS List of abbreviations ........................................................................................................................ 4 1 Background information ......................................................................................................... 6 1.1 Geographical information .................................................................................................... 6 1.1.1 Map of Ethiopia ........................................................................................................... -
Oromia Region Administrative Map(As of 27 March 2013)
ETHIOPIA: Oromia Region Administrative Map (as of 27 March 2013) Amhara Gundo Meskel ! Amuru Dera Kelo ! Agemsa BENISHANGUL ! Jangir Ibantu ! ! Filikilik Hidabu GUMUZ Kiremu ! ! Wara AMHARA Haro ! Obera Jarte Gosha Dire ! ! Abote ! Tsiyon Jars!o ! Ejere Limu Ayana ! Kiremu Alibo ! Jardega Hose Tulu Miki Haro ! ! Kokofe Ababo Mana Mendi ! Gebre ! Gida ! Guracha ! ! Degem AFAR ! Gelila SomHbo oro Abay ! ! Sibu Kiltu Kewo Kere ! Biriti Degem DIRE DAWA Ayana ! ! Fiche Benguwa Chomen Dobi Abuna Ali ! K! ara ! Kuyu Debre Tsige ! Toba Guduru Dedu ! Doro ! ! Achane G/Be!ret Minare Debre ! Mendida Shambu Daleti ! Libanos Weberi Abe Chulute! Jemo ! Abichuna Kombolcha West Limu Hor!o ! Meta Yaya Gota Dongoro Kombolcha Ginde Kachisi Lefo ! Muke Turi Melka Chinaksen ! Gne'a ! N!ejo Fincha!-a Kembolcha R!obi ! Adda Gulele Rafu Jarso ! ! ! Wuchale ! Nopa ! Beret Mekoda Muger ! ! Wellega Nejo ! Goro Kulubi ! ! Funyan Debeka Boji Shikute Berga Jida ! Kombolcha Kober Guto Guduru ! !Duber Water Kersa Haro Jarso ! ! Debra ! ! Bira Gudetu ! Bila Seyo Chobi Kembibit Gutu Che!lenko ! ! Welenkombi Gorfo ! ! Begi Jarso Dirmeji Gida Bila Jimma ! Ketket Mulo ! Kersa Maya Bila Gola ! ! ! Sheno ! Kobo Alem Kondole ! ! Bicho ! Deder Gursum Muklemi Hena Sibu ! Chancho Wenoda ! Mieso Doba Kurfa Maya Beg!i Deboko ! Rare Mida ! Goja Shino Inchini Sululta Aleltu Babile Jimma Mulo ! Meta Guliso Golo Sire Hunde! Deder Chele ! Tobi Lalo ! Mekenejo Bitile ! Kegn Aleltu ! Tulo ! Harawacha ! ! ! ! Rob G! obu Genete ! Ifata Jeldu Lafto Girawa ! Gawo Inango ! Sendafa Mieso Hirna -
Eastern Nile Technical Regional Office
. EASTERN NILE TECHNICAL REGIONAL OFFICE TRANSBOUNDARY ANALYSIS FINAL COUNTRY REPORT ETHIOPIA September 2006 This report was prepared by a consortium comprising Hydrosult Inc (Canada) the lead company, Tecsult (Canada), DHV (The Netherlands) and their Associates Nile Consult (Egypt), Comatex Nilotica (Sudan) and A and T Consulting (Ethiopia) DISCLAIMER The maps in this Report are provided for the convenience of the reader. The designations employed and the presentation of the material in these maps do not imply the expression of any opinion whatsoever on the part of the Eastern Nile Technical Office (ENTRO) concerning the legal or constitutional status of any Administrative Region, State or Governorate, Country, Territory or Sea Area, or concerning the delimitation of any frontier. WATERSHED MANAGEMENT CRA CONTENTS DISCLAIMER ........................................................................................................ 2 LIST OF ACRONYMS AND ABBREVIATIONS .................................................. viii EXECUTIVE SUMMARY ...................................................................................... x 1. BACKGROUND ................................................................................................ 1 1.1 Introduction ............................................................................................. 1 1.2 Primary Objectives of the Watershed Management CRA ....................... 2 1.3 The Scope and Elements of Sustainable Watershed Management ........ 4 1.3.1 Watersheds and River Basins 4