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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 -- -
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. -
Ethiopia: Administrative Map (August 2017)
Ethiopia: Administrative map (August 2017) ERITREA National capital P Erob Tahtay Adiyabo Regional capital Gulomekeda Laelay Adiyabo Mereb Leke Ahferom Red Sea Humera Adigrat ! ! Dalul ! Adwa Ganta Afeshum Aksum Saesie Tsaedaemba Shire Indasilase ! Zonal Capital ! North West TigrayTahtay KoraroTahtay Maychew Eastern Tigray Kafta Humera Laelay Maychew Werei Leke TIGRAY Asgede Tsimbila Central Tigray Hawzen Medebay Zana Koneba Naeder Adet Berahile Region boundary Atsbi Wenberta Western Tigray Kelete Awelallo Welkait Kola Temben Tselemti Degua Temben Mekele Zone boundary Tanqua Abergele P Zone 2 (Kilbet Rasu) Tsegede Tselemt Mekele Town Special Enderta Afdera Addi Arekay South East Ab Ala Tsegede Mirab Armacho Beyeda Woreda boundary Debark Erebti SUDAN Hintalo Wejirat Saharti Samre Tach Armacho Abergele Sanja ! Dabat Janamora Megale Bidu Alaje Sahla Addis Ababa Ziquala Maychew ! Wegera Metema Lay Armacho Wag Himra Endamehoni Raya Azebo North Gondar Gonder ! Sekota Teru Afar Chilga Southern Tigray Gonder City Adm. Yalo East Belesa Ofla West Belesa Kurri Dehana Dembia Gonder Zuria Alamata Gaz Gibla Zone 4 (Fantana Rasu ) Elidar Amhara Gelegu Quara ! Takusa Ebenat Gulina Bugna Awra Libo Kemkem Kobo Gidan Lasta Benishangul Gumuz North Wello AFAR Alfa Zone 1(Awsi Rasu) Debre Tabor Ewa ! Fogera Farta Lay Gayint Semera Meket Guba Lafto DPubti DJIBOUTI Jawi South Gondar Dire Dawa Semen Achefer East Esite Chifra Bahir Dar Wadla Delanta Habru Asayita P Tach Gayint ! Bahir Dar City Adm. Aysaita Guba AMHARA Dera Ambasel Debub Achefer Bahirdar Zuria Dawunt Worebabu Gambela Dangura West Esite Gulf of Aden Mecha Adaa'r Mile Pawe Special Simada Thehulederie Kutaber Dangila Yilmana Densa Afambo Mekdela Tenta Awi Dessie Bati Hulet Ej Enese ! Hareri Sayint Dessie City Adm. -
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 -
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. -
The Case of Hidabu Abote District, North Shoa Zone of Oromia Region, Ethiopia Fekadu Adamu Negussie*
ISSN: 2455-815X DOI: https://dx.doi.org/10.17352/ijasft LIFE SCIENCES GROUP Received: 23 July, 2020 Research Article Accepted: 29 October, 2020 Published: 31 October, 2020 *Corresponding author: Fekadu Adamu Negussie, Impact of row planting teff Department of Agricultural Economics, College of Ag- riculture, Oda Bultum University, Chiro, Ethiopia, E-mail: fi [email protected] technology adoption on Keywords: Adoption; Impact; Probit; PSM; Row planting; Teff the income of smallholder https://www.peertechz.com farmers: The case of Hidabu Abote District, North Shoa Zone of Oromia Region, Ethiopia Fekadu Adamu Negussie* Department of Agricultural Economics, College of Agriculture, Oda Bultum University, Chiro, Ethiopia Abstract In Ethiopia, improved agricultural technologies, like row planting are promoted in the recent times in order to address low agricultural productivity. However, despite such production enhancing technologies, utilization of such technologies remained low in Ethiopia. This study is focusedon the impact of row planting teff technology adoption on the income of smallholder farmer in the context of Hidabu Abote District, North Shoa zone. The study uses cross-sectional data that were collected from 181 randomly selected smallholder farmers. The data were analyzed using descriptive, inferential statistics,and econometrics models. From the descriptive statistics, it was found that out of thirteen explanatory variables seven of them were a signifi cant difference among the groups. Results of the probit model revealed that, distance to central market, extension contact,off/non-farm income,farm size,household size, access to mass media,and access to credit affected the farmer’s adoption decision of the row planting of teff signifi cantly. -
Determinants of Perinatal Mortality Among Cohorts
Determinants of perinatal mortality among cohorts of pregnant women in three districts of North Showa zone, Oromia Region, Ethiopia: Community based nested case control study Elias Merdassa Roro, Wollega University Mitike Molla Sisay, Addis Ababa University Lynn M Sibley, Emory University Journal Title: BMC Public Health Volume: Volume 18, Number 888 Publisher: BMC (part of Springer Nature) | 2018-07-18 Type of Work: Article | Final Publisher PDF Publisher DOI: 10.1186/s12889-018-5757-2 Permanent URL: https://pid.emory.edu/ark:/25593/t5njb Final published version: http://dx.doi.org/10.1186/s12889-018-5757-2 Copyright information: © The Author(s). 2018 This is an Open Access work distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). Accessed September 29, 2021 9:44 PM EDT Roro et al. BMC Public Health (2018) 18:888 https://doi.org/10.1186/s12889-018-5757-2 RESEARCH ARTICLE Open Access Determinants of perinatal mortality among cohorts of pregnant women in three districts of North Showa zone, Oromia Region, Ethiopia: Community based nested case control study Elias Merdassa Roro1* , Mitike Molla Sisay2,3 and Lynn M. Sibley4 Abstract Background: Statistics indicate that Ethiopia has made remarkable progress in reducing child mortality. It is however estimated that there is high rate of perinatal mortality although there is scarcity of data due to a lack of vital registration in the country. This study was conducted with the purpose of assessing the determinants and causes of perinatal mortality among babies born from cohorts of pregnant women in three selected districts of North Showa Zone, Oromia Region, Ethiopia. -
Determinants of Smallholder Farmers' Decision to Adopt Adaptation
Amare and Simane Agric & Food Secur (2017) 6:64 DOI 10.1186/s40066-017-0144-2 Agriculture & Food Security RESEARCH Open Access Determinants of smallholder farmers’ decision to adopt adaptation options to climate change and variability in the Muger Sub basin of the Upper Blue Nile basin of Ethiopia Abayineh Amare* and Belay Simane Abstract Smallholder farmers’ decisions to adopt adaptation options in response to climate change and variability are infu- enced by socioeconomic, institutional, and environmental factors, indicating that decision patterns can be very specifc to a given locality. The prime objective of this research is to identify factors afecting smallholder farmers’ decisions to adopt adaptation options to climate change and variability in the Muger River sub-basin of the Blue Nile basin of Ethiopia. Both quantitative and qualitative data were collected using a semi-structured questionnaire, focused group discussions, and key informant interviews from 442 sampled households. Frequency, mean, Chi-square test, and one-way ANOVA were used for analysis. Furthermore, a multinomial logit model was employed to analyze the data. Results signifed that small-scale irrigation, agronomic practices, livelihood diversifcation, and soil and water conservation measures are the dominant adaptation options that smallholder farmers used to limit the negative impact of climate change and variability in the study area. The results further revealed that adoption of small-scale irrigation as an adaptation to climate change and variability is signifcantly and positively infuenced by access to credit, social capital, and the educational status of household heads. Greater distance to marketplace and size of farmland negatively afected the use of agronomic practices, whereas crop failure experience and access to early warning systems have a positive infuence. -
Ethiopia Humanitarian Fund 2016 Annual Report
2016 Annual Report Ethiopia Humanitarian Fund Ethiopia Humanitarian Fund 2016 Annual Report TABLE of CONTENTS Forward by the Humanitarian Coordinator 04 Dashboard – Visual Overview 05 Humanitarian Context 06 Allocation Overview 07 Fund Performance 09 Donor Contributions 12 Annexes: Summary of results by Cluster Map of allocations Ethiopia Humanitarian Fund projects funded in 2016 Acronyms Useful Links 1 REFERENCE MAP N i l e SAUDI ARABIA R e d ERITREA S e a YEMEN TIGRAY SUDAN Mekele e z e k e T Lake Tana AFAR DJIBOUTI Bahir Dar Gulf of Aden Asayita AMHARA BENESHANGUL Abay GUMU Asosa Dire Dawa Addis Ababa Awash Hareri Ji Jiga Gambela Nazret (Adama) GAMBELA A EETHIOPIAT H I O P I A k o b o OROMIA Awasa Omo SOMALI SOUTH S SNNPR heb SUDAN ele le Gena Ilemi Triangle SOMALIA UGANDA KENYA INDIAN OCEAN 100 km National capital Regional capital The boundaries and names shown and the designations International boundary used on this map do not imply official endorsement or Region boundary acceptance by the United Nations. Final boundary River between the Republic of Sudan and the Republic of Lake South Sudan has not yet been determined. 2 I FOREWORD DASHBOARD 3 FOREWORD FOREWORD BY THE HUMANITARIAN COORDINATOR In 2016, Ethiopia continued to battle the 2015/2016 El Niño-induced drought; the worst drought to hit the country in fifty years. More than 10.2 million people required relief food assistance at the peak of the drought in April. To meet people’s needs, the Government of Ethiopia and humanitar- ian partners issued an initial appeal for 2016 of US$1.4 billion, which increased to $1.6 billion in August. -
Major Bovine Parasitic Zoonosis at Selected Municipal Abattoirs, North Shewa Zone, Oromia, Central Ethiopia
vv ISSN: 2640-7604 DOI: https://dx.doi.org/10.17352/ijvsr LIFE SCIENCES GROUP Received: 22 September, 2020 Research Article Accepted: 12 November, 2020 Published: 18 November, 2020 *Corresponding author: Said Muhammed, Department Major Bovine Parasitic of Animal Sciences, Salale University, College of Agriculture and Natural Resources, P.O. Box: 245, Fitche, Ethiopia, E-mail: Zoonosis at Selected Municipal Keywords: Bovine parasitic zoonoses; Ethiopia; Municipal abattoir; North shewa zone; Oromia Abattoirs, North Shewa Zone, https://www.peertechz.com Oromia, Central Ethiopia Said Muhammed*and Tadesse Birhanu Department of Animal Sciences, Salale University, College of Agriculture and Natural Resources, P.O. Box: 245, Fitche, Ethiopia Abstract Bovine parasitic zoonoses have emerged from time to time and public health threat in developing countrieswhere eating of raw meat and improper disposal of condemned are practiced. However, there is a limited prevention and control strategy of the diseases including North Shewa Zone, Oromia, Ethiopia because of negligence. Moreover, there is a paucity of information regarding Bovine parasitic zoonosis in the areas. Hence, the current study was designed from October, 2019 to July, 2020 to determine major Bovine parasitic zoonoses at selected Municipals Abattoirs (Fitche, Kuyu and Shararo) of North Shewa zone, Oromia, Ethiopia.Purposive sampling technique was used to study Abattoirs whereas; simple random sampling was used to select study participants. Anti-mortem and post-mortem inspection were applied by using standard producers. Primary and qualitative data were used in this study. Out of 384 inspected cattle, 218 (56.8%) animals were condemned its organs during postmortem inspection. Among those 195(50.8%), 402 (52.3%), 11 (2.9%) and 16 (2.1%) animals’ liver, lungs, heart and kidneys were condemned, respectively. -
Prevalence of Malnutrition and Associated Factors Among Children
al Dis ion ord rit e t rs u N & f T Mengistu et al., J Nutr Disorders Ther 2013, T1 o h l e a r DOI: 10.4172/2161-0509.1000T1-001 n a r p u y o Journal of Nutritional Disorders & Therapy J ISSN: 2161-0509 Thesis Open Access Prevalence of Malnutrition and Associated Factors Among Children Aged 6-59 Months at Hidabu Abote District, North Shewa, Oromia Regional State Kebede Mengistu*, Kassahun Alemu and Bikes Destaw Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia Abstract Introduction: Malnutrition continues to be a major public health problem in developing countries. It is the most important risk factor for the burden of diseases. In Ethiopia, child malnutrition rate is one of the most serious public health problem and the highest in the world. High malnutrition rates in the country pose a significant obstacle to achieving better child health outcomes. Objective: To assess prevalence of malnutrition and associated factors among children aged 6-59 months at Hidabu Abote district, North shewa, Oromia. Methods: A community based cross sectional study was conducted on 820 children aged 6-59 months from September 8-23, 2012 at Hidabu Abote district. Multistage sampling method was used to select households. Children were selected from each kebeles by simple random sampling. Anthropometric measurements and structured questioners were used .Data were processed using EPi-info soft ware and exported to SPSS for analysis. Then after, sex, age, height and weight transferred with HHs number to ENA for SMART 2007software to convert nutritional data into Z-scores of the indices; Height-for-age, weight-for-height and weight-for-age. -
Bodenrecht Und Bodenordnung
Deutsche Gesellschaft für Technische Zusammenarbeit (GTZ) GmbH Abt. 4250 / Division 4250 STUDY FOR THE GUIDING PRINCIPLES: LAND TENURE IN DEVELOPMENT COOPERATION STUDIE ZUM ORIENTIERUNGSRAHMEN: BODENRECHT UND BODENORDNUNG Autor / Author: Girma Tolossa Zegeye Asfaw Titel / Title: Land Tenure Structure and Development in Ethiopia: A Case Study of 10 Peasant Associations in Wara Jarso Woreda Region: Ethiopia Jahr / Year: 1995 Study of the Sector Project: Studie des Sektorprojekts: “The Importance of „Die Bedeutung von Bodenrecht Land Tenure in und Bodenordnung in Development Cooperation” Entwicklungsländern“ Contents 1. Summary................................................................................................................ 4 1.1 Introduction .............................................................................................. 4 1.2 The State of the Law ................................................................................ 5 1.3 Oromia specific Land Tenure Issues........................................................ 6 1.4 Recommendations ................................................................................... 9 1.5 Some Issues for Policy Dialogue ........................................................... 10 1.6 Role of Donors ....................................................................................... 10 2. Objective.............................................................................................................. 11 3. Assessment of National Laws Regarding Tenure Structure..........................