Inter Aide Ethiopia
Total Page:16
File Type:pdf, Size:1020Kb
Load more
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 -- -
University of Florida Thesis Or Dissertation Formatting Template
REPRESENTATION, HERITAGE, AND ARCHAEOLOGY AMONG THE WOLAITA OF ETHIOPIA By JUSTIN DUNNAVANT A DISSERTATION PRESENTED TO THE GRADUATE SCHOOL OF THE UNIVERSITY OF FLORIDA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY UNIVERSITY OF FLORIDA 2017 © 2017 Justin Dunnavant To the life and memory of Warren Dunnavant, Sr. (1953-2011), Professor Mark E. Mack (1961-2012), and Dolores “Bunny” McCullough (1931-2014). ACKNOWLEDGMENTS First, I must acknowledge the support and sacrifice of my friends and family. I give thanks for all that they have done and continue to do to help me to grow as an individual and scholar. Thanks Tiffany Walker for the continued support and encouragement during the extended fieldwork trips and long writing sessions. I would like to thank my committee for the support and guidance throughout the dissertation process. Thanks to Dr. James Davidson for allowing me to participate in the Kingsley Plantation Field School and hone my archaeological field method skills. Dr. Terje Ostebo provided positive critique on the socio-historical context of Ethiopia. Dr. Paul Ortiz served as an academic and personal mentor and demonstrated how academic work is paired with social activism. Finally, I owe a debt of gratitude to Dr. Steven Brandt for extending the initial invitation to come to Ethiopia and giving me the freedom to explore new and interesting questions related to historical archaeology in the country. I am also indebted to him for reading previous drafts of this dissertation in a relatively short time frame and providing critical feedback. I am indebted to all of those in Ethiopia who helped to facilitate my research in Addis Ababa and Wolaita. -
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. -
Periodic Monitoring Report Working 2016 Humanitarian Requirements Document – Ethiopia Group
DRMTechnical Periodic Monitoring Report Working 2016 Humanitarian Requirements Document – Ethiopia Group Covering 1 Jan to 31 Dec 2016 Prepared by Clusters and NDRMC Introduction The El Niño global climactic event significantly affected the 2015 meher/summer rains on the heels of failed belg/ spring rains in 2015, driving food insecurity, malnutrition and serious water shortages in many parts of the country. The Government and humanitarian partners issued a joint 2016 Humanitarian Requirements Document (HRD) in December 2015 requesting US$1.4 billion to assist 10.2 million people with food, health and nutrition, water, agriculture, shelter and non-food items, protection and emergency education responses. Following the delay and erratic performance of the belg/spring rains in 2016, a Prioritization Statement was issued in May 2016 with updated humanitarian requirements in nutrition (MAM), agriculture, shelter and non-food items and education.The Mid-Year Review of the HRD identified 9.7 million beneficiaries and updated the funding requirements to $1.2 billion. The 2016 HRD is 69 per cent funded, with contributions of $1.08 billion from international donors and the Government of Ethiopia (including carry-over resources from 2015). Under the leadership of the Government of Ethiopia delivery of life-saving and life- sustaining humanitarian assistance continues across the sectors. However, effective humanitarian response was challenged by shortage of resources, limited logistical capacities and associated delays, and weak real-time information management. This Periodic Monitoring Report (PMR) provides a summary of the cluster financial inputs against outputs and achievements against cluster objectives using secured funding since the launch of the 2016 HRD. -
Archives on Veterinary Science and Technology
Archives on Veterinary Science and Technology Fassel N, Arch Pet Environ Biotechnol 2017: AVST-131. Research Article DOI:10.29011/AVST-131/100031 Prevalence of Bovine Trypanosomiasis in Wolaita Zone Kindo Di- daye District of Ethiopia Nigussu Fassel* Hawasssa University, School of Veterinary Medicine, Ethiopia *Corresponding author: Nigussu Fassel, Hawasssa university, School of veterinary medicine, Ethiopia. Tel: +251913304082; Email: [email protected] Citation: Fassel N (2017) Prevalence of Bovine Trypanosomiasis in Wolaita Zone Kindo Didaye District of Ethiopia. Arch Vet Sci Technol: AVST-131. DOI:10.29011/AVST-131/100031 Received Date: : 14 August, 2017; Accepted Date: 26 August, 2017; Published Date: 04 September, 2017 Abstract Cross sectional study was conducted in Kindo Didaye District of Wolayita administrative zone of southern region of Ethio- pia, from November 2014 to April 2015 to estimate the prevalence of bovine trypanosomiasis. In the parasitological survey, blood samples of 120 cattle were examined using a buffy coat technique and thin blood smear under Giemsa stain. The Packed Cell Volume (PCV) value of each animal was also measured using hematocrit reader. The overall prevalence of trypanosomiasis was found to be 5.9 %. The prevalence varied between different study areas; 5% in Halale, 8.3% in Shella, 5.4% in Zerada and 5.1% in Bosa-bortu areas. The most positive cases were due to Trypanosoma congolense(57.1%)followed byTrypanosoma vivax(28.6%) and mixed infection from Trypanosoma congolenseand Trypanosoma vivaxwas also recorded in (14.3%) of the tasted animals. The mean PCV value (%) of parasitaemic and aparasitaemic animals during the study period were 19.43% and 27.14% with a statistically significance (P<0.05) difference between the two groups. -
ETHIOPIA National Disaster Risk Management Commission National Flood Alert # 2 June 2019
ETHIOPIA National Disaster Risk Management Commission National Flood Alert # 2 June 2019 NATIONAL FLOOD ALERT INTRODUCTION NMA WEATHER OUTLOOK FOR kiremt 2019 This National Flood Alert # 2 covers the Western parts of the country, i.e. Benishangul Gumuz, Gambella, Western Amhara, Western Oromia, and Western highlands of SNNPR anticipated Kiremt season, i.e. June to September to receive normal rainfall tending to above normal rainfall. 2019. The National Flood Alert # 1 was issued in April 2019 based on the NMA Eastern and parts of Central Ethiopia, western Somali, and southern belg Weather Outlook. This updated Oromia are expected to receive dominantly normal rainfall. Flood Alert is issued based on the recent Afar, most of Amhara, Northern parts of Somali and Tigray are expected NMA kiremt Weather outlook to to experience normal to below normal rainfall during the season. highlight flood risk areas that are likely to receive above normal rainfall during Occasionally, heavy rainfalls are likely to cause flash and/or river floods the season and those that are prone to in low laying areas. river and flash floods. This flood Alert Tercile rainfall probability for kiremt season, 2019 aims to prompt early warning, preparedness, mitigation and response measures. Detailed preparedness, mitigation and response measures will be outlined in the National Flood Contingency Plan that will be prepared following this Alert. The National Flood Alert will be further updated as required based on NMA monthly forecast and the N.B. It is to be noted that the NMA also indicated 1993 as the best analogue year for 2019 situation on the ground. -
Ethiopia: SNNP Region Administrative Map (As of 15 Aug 2017)
Ethiopia: SNNP region administrative map (as of 15 Aug 2017) ! ! ! ! ! ! ! ! ! Suten ! ! ! ! ! ! Inge Sodo ! ! !Bui ! ! WelikiteKebena Abeshege ! Kokir Gedbano ! ! Kela ! ! Muhur Na Ak!lil ! Gubire ! ! ! Cheha Agena ! Imdibir! ! Ezha Me!skan ! ! Inseno ! Gonichire ! ! ! Kibet Qewaqoto! Koshe ! ! ! ! ! ! ! Enemorina Eaner Alicho Woriro ! Gumer Mareko ! Selti ! ! Areket Alkeso town ! ! ! ! ! ! Geta Kose Tora ! Fofa ! Werabe ! ! ! Dinkela ! ! Sayilem! ! ! ! ! Yadota Geja Endiguagn Yem SP Woreda ! Dalocha ! Misrak Azenet Berbere ! ! ! ! Misha !LERA Dalocha Masha ! Wilb!areg Gibe ! ! Mierab Azenet Berbere ! ! Lanfero ! Homec!ho ! ! Fonqo town ! Mito ! GAMBELA Gesha (Deka) Kondo GECHA TOWN ! Analemmo ! ! !Deka ! Doesha !Belesa town ! Alem Gebeya Anderacha Getawa Gembora ! ! Limu ! ! Bonosha Sankura ! ! ! Lisana town Jajira Shashogo Gimbichu! ! Hufa ! ! ! Diri Soro ! Gojeb Bita (Big) Gimbo Doya Gena Jacho A!nigach!a ! Alaba SP Woreda ! ! ! Daniboya Wishiwishi Dune Kulito ! Kaka Idget ! Bita Genet ! OROMIA Kelata Mudula Hobichaka ! ! Bonga ! ! ! ! ! Yeki ! Menjiwo ! Chena Tembaro Ke!diada Gambela TEPI TOWN Hadero !TubitoKacha Bira ! ! ! !Adilo Chda Idge T!unito ! Legend WACHA ! ! Terche Misrak Badawacho ! Gena Bosa Chiri BOMIBE 01 ! ! ! ! !Karewo ! Mierab Badawacho ! Ameya P ! Tocha Tocha Edget Boloso Bombe Sheka Tulo ! Regional capital ! Waka ! Semen Bench Alem Gena ! ! ! ! Mehal Sheko Mareka Boloso SoreDamot Pulasa Hawassa Zuria PWondo-Ge! net Gesa ! ! Shanito Hawasa Town ! ! ! ! Shama Chuko Shay Bench ! Bitena Town Mizan Aman ! ! Tula ! Damot -
SNNPR REGION : Who Does What Where (3W) (As of 01 March 2012)
(as of 01 March 2012) SNNPR REGION : Who Does What Where (3W) Tigray Afar Amhara Sodo! ECS: a cç Benshangul Gumuz KebenaKokir Gedbano Dire Dawa Abeshege Addis Ababa Hareri Gambela Oromia Oromia Muhur Na Aklil Somali Cheha SNNPR Gurage Ezha Meskan Alicho Woriro Enemorina Eaner Gumer Selti Mareko Yem Geta Selti Legend Sayilem ! IRC: ç Endiguagn Dalocha Yem SP Wor!eda International Boundary Masha Gibe Misha Wilbareg Lanfero Regional Boundary Sheka Gesha (Deka) ECS: ah ç HadiyaAnalemmo ! Anderacha Getawa Gembora ! Sankura LVIA: a 4 l Zonal Boundary ! Limu Gambella Shash! ogo LVIA: a 4 l Plan Int.: : h Soro Woreda Boundary Gimbo Anigacha Alaba SP Woreda SC UK: h Bita (Big) ! Lake Dune Daniboy! a Alaba KT Plan Int.: h IMC: î h ç Yeki Chena Menjiwo Tembaro Keffa Kacha BiraKediada Gambela No Intervention/No Data Gena Bosa Misrak Badawacho Tocha Boloso Bom! be Other Region Sheka Tulo Wondo-Genet Semen Bench Boloso sore Awassa Zuria Mareka A! wasa Town Dawro Damot Gale Plan Int.: d Clusters/Sectors Ela (Konta) SP Woreda Kindo Koysha Diguna Fango ! Malga Gurafereda Debub BenchShay Bench Cheta Boricha Agriculture Decha Esira Damot Sore a Konta Loma Bosa Sodo ZuriaDamot Weydie Shebe DinoGorche Wolayita Dale : Disaster Management Menit Goldiye Kindo Dida Ofa Humbo Wonosho Arbe Gonna d Education ! Loka-Abaya ! Bursa Sidama ACF: aîlf Chuko 4 Environment Melekoza Kucha Boreda Bensa Menit Shasha ! Hulla Denibu Gofa Dara Bona Zu! ria ç Chire î Food Dila Zuria Bero BasketoGeze Gofa h Aroresa l Food Security Zala Mirab Abaya Wenago Basketo SP Woreda DaramaloDita -
An Empirical Examination of the Determinants of Food Insecurity
con d E om Gazuma, Bus Eco J 2018, 9:1 n ic a s : s J s o DOI 10.4172/2151-6219.1000345 e u n r i Business and Economics n s a u l B ISSN: 2151-6219 Journal Research Article Open Access An Empirical Examination of the Determinants of Food Insecurity among Rural Farm Households: Evidence from Kindo Didaye District of Southern Ethiopia Ermias Ganamo Gazuma* Department of Economics, Wolaita Sodo University, Wolaita Sodo, Addis Ababa, Ethiopia Abstract The major aim of this study was to assess the determinants of food insecurity among rural farm households in Kindo Didaye district, Ethiopia. Data for the study was obtained from 160 randomly selected farm households by using structured questionnaire. To select sample respondents, the stratified sampling technique was used. The adapted FGT index, Coping Strategy index and binary logit model were used for data analysis. The finding from FGT index revealed that 70.62 percent of households in the study area were found food insecure. The depth and severity of food insecurity were found 37% and 25.6%, respectively. The logistic regression model result showed that factors such as household size, livestock ownership of households, land size, opportunity to off-farm activities, and distance to the local market were found significant factors influencing households’ food security status. Thus, promotion of family planning, enhancing livestock packages, and creation of rural employment opportunities are recommended. Keywords: Ethiopia; Kindo Didaye; Food security; FGT; Coping economy and agriculture is the source of livelihood for more than 80 strategies; Logistic regression percent of population in the country. -
Annual Report International Organization for Migration Special Liaison Office (IOM SLO) in Addis Ababa, Ethiopia
2015Annual Report International Organization for Migration Special Liaison Office (IOM SLO) in Addis Ababa, Ethiopia IOM OIM IOM PRESENCE In EthIOpIA IOM Presence in Ethiopia ETHIOPIA: Administrative Map (as of 14 January 2011) R ShireERITREA E Legend Tahtay Erob Laelay Adiyabo Mereb Ahferom Gulomekeda \\( Adiyabo Leke D National Capital Ganta Medebay Dalul North Adwa Afeshum Saesie Tahtay Zana Laelay Tsaedaemba Kafta Western Maychew PP Koraro Central Humera Asgede Tahtay Eastern Regional Capital Naeder Werei Hawzen Western Tsimbila Maychew Adet Leke Koneba Berahle Welkait Kelete Atsbi S Tigray Awelallo Wenberta International Boundary Tselemti Kola Degua Tsegede Mekele E Temben Temben P Addi Tselemt Tanqua Afdera Zone 2 Enderta Arekay Abergele Regional Boundary Tsegede Beyeda Ab Ala Mirab Saharti A Armacho Debark Samre Hintalo Erebti Abergele Wejirat Tach Megale Bidu Zonal Boundary Armacho Dabat Janamora Alaje Lay Sahla North Armacho Wegera Southern Ziquala Woreda Boundary Metema Gonder Sekota Endamehoni Raya Wag Azebo Chilga Yalo Amhara East Ofla Teru West Belesa Himra Kurri Gonder Dehana Belesa Lake Dembia Zuria Gaz Alamata Zone 4 Quara Gibla Semera Elidar Takusa Libo Ebenat Gulina Kemkem Bugna Lasta Kobo Awra Afar Gidan Lake Tana South (Ayna) 0 50 100 200 km Ewa Alfa Fogera Gonder North ¹ Lay Zone 1 Farta Meket Guba Lafto Dubti Gayint Asayta Semen Wollo P Jawi Achefer Tach Habru Chifra Bahr Dar East Wadla Delanta G U L F O F A D E N P Gayint Aysaita Creation date:14 Jan.2011 Dera Esite Bahirdar Ambasel Map Doc Name:21_ADM_000_ETH_011411_A0 -
LIVELIHOOD ZONES ANALYSIS a Tool for Planning Agricultural Water Management Investments Ethiopia
Improved livelihoods for smallholder farmers LIVELIHOOD ZONES ANALYSIS A tool for planning agricultural water management investments Ethiopia Prepared by Dr. Girma Medhin in consultation with FAO, 2011 About this report The AgWater Solutions Project aimed at designing agricultural water management (AWM) strategies for smallholder farmers in sub Saharan Africa and in India. The project was managed by the International Water Management Institute (IWMI) and operated jointly with the Food and Agriculture Organization of the United Nations (FAO), International Food Policy Research Institute (IFPRI), the Stockholm Environmental Institute (SEI) and International Development Enterprise (IDE). It was implemented in Burkina Faso, Ethiopia, Ghana, Tanzania, Zambia and in the States of Madhya Pradesh and West Bengal in India. Several studies have highlighted the potential of AWM for poverty alleviation. In practice, however, adoption rates of AWM solutions remain low, and where adoption has taken place locally, programmes aimed at disseminating these solutions often remain a challenge. The overall goal of the project was to stimulate and support successful pro-poor, gender-equitable AWM investments, policies and implementation strategies through concrete, evidence-based knowledge and decision-making tools. The project has examined AWM interventions at the farm, community, watershed, and national levels. It has analyzed opportunities and constraints of a number of small-scale AWM interventions in several pilot research sites across the different project countries, and assessed their potential in different agro-climatic, socio-economic and political contexts. This report was prepared as part of the efforts to assess the potential for AWM solutions at national level. The livelihood zones analysis divides the country in a series of areas where rural people share relatively homogeneous living conditions on the basis of a combination of biophysical and socio-economic determinants. -
Livelihood Zones Analysis Ethiopia
Improved livelihoods for smallholder farmers LIVELIHOOD ZONES ANALYSIS A tool for planning agricultural water management investments Ethiopia Prepared by Dr. Girma Medhin in consultation with FAO, 2011 About this report The AgWater Solutions Project aimed at designing agricultural water management (AWM) strategies for smallholder farmers in sub Saharan Africa and in India. The project was managed by the International Water Management Institute (IWMI) and operated jointly with the Food and Agriculture Organization of the United Nations (FAO), International Food Policy Research Institute (IFPRI), the Stockholm Environmental Institute (SEI) and International Development Enterprise (IDE). It was implemented in Burkina Faso, Ethiopia, Ghana, Tanzania, Zambia and in the States of Madhya Pradesh and West Bengal in India. Several studies have highlighted the potential of AWM for poverty alleviation. In practice, however, adoption rates of AWM solutions remain low, and where adoption has taken place locally, programmes aimed at disseminating these solutions often remain a challenge. The overall goal of the project was to stimulate and support successful pro-poor, gender-equitable AWM investments, policies and implementation strategies through concrete, evidence-based knowledge and decision-making tools. The project has examined AWM interventions at the farm, community, watershed, and national levels. It has analyzed opportunities and constraints of a number of small-scale AWM interventions in several pilot research sites across the different project countries, and assessed their potential in different agro-climatic, socio-economic and political contexts. This report was prepared as part of the efforts to assess the potential for AWM solutions at national level. The livelihood zones analysis divides the country in a series of areas where rural people share relatively homogeneous living conditions on the basis of a combination of biophysical and socio-economic determinants.