Demography and Health
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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 -- -
Revisiting Gamo: Linguists’ Classification Versus Self Identification of the Community
Vol. 5(9), pp. 373-380, December, 2013 DOI: 10.5897/IJSA2013.0471 International Journal of Sociology and ISSN 2006- 988x © 2013 Academic Journals Anthropology http://www.academicjournals.org/IJSA Full Length Research Paper Revisiting Gamo: Linguists’ classification versus self identification of the community Hirut Woldemariam Department of Linguistics, Institute of Language Studies, Addis Ababa University, P. O. Box 1176, Addis Ababa, Ethiopia. Accepted 17 September, 2013 This study attempts to contribute to our knowledge about Gamo, a member of the North Ometo subgroup, which is one of the four subgroups that constitute the Ometo group of the Omotic language family (Fleming, 1976; Bender, 2000). This paper characterizes some of the issues in the research of language and identity. It will attempt to employ the complementary perspectives of sameness and difference between Gamo, its sisters in the North Ometo sub-branch and its dialects. North Ometo comprises of several related languages and dialects of which Gamo is one. The exact relationship amongst the Ometo languages is not well known. Not equally well known is the relationship Gamo has with its sisters and daughters. The study tries to address issues concerning with misrepresentation of the Gamo language by the existing classification in one hand and what the self perception of the Gamo community likes on the other hand. This study aimed at examining linguistic facts and the Gamo speakers’ own understandings of their identities. To this end, the study has used linguistic, anthropological and sociolinguists attempt to characterize membership of Gamo based on linguistic facts and members’ self ethno-linguistic identificationi. -
The Case of Angacha Town, Kat Zone, Ethiopia
Journal of Natural Sciences Research www.iiste.org ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) Vol.7, No.17, 2017 Performance of Micro Enterprise and Its Determinant Factors: The Case of Angacha Town, Kat Zone, Ethiopia Abera Abebe Department of Agricultural Economics, Wolaita Sodo University Abstract This study examines the performance of microenterprises and factors that affects microenterprises in Angacha town KAT Zone. This study also inspect the cost and benefit ratio of micro enterprise as related to financial flow and its management to measure the performance and identified the factors that influence the performance of micro enterprise in Angacha town. All 40 micro enterprises from two sub-towns of Angacha were included in the study and key informants from relevant government office were interviewed to collect necessary data on enterprises performance and determinant factors. Descriptive analyses of the data were computed to assess various characteristics of micro enterprises in the study area. According to the result obtained from benefit cost ratio analysis 71.8% of enterprises found in the study area survived whereas 28.2% failed. In addition, a regression model was used to identify the determinant factors that affected the performance of the enterprises. The results of the regression analysis showed that age of enterprises, age of operators, education level, number of employees, amount of initial capital, entrepreneurial skill, experience of manager, access to training and access to market were statistically significant at less than 1% significance level and had positive relationship with the performance of enterprises. Recommendations emanating from the study are to build up the performance of micro enterprises not only to survive in the business but also to transform into small, medium and higher level of enterprises. -
Nutrition Surveys 1999
NUTRITION SURVEYS 1999 – 2000 Region/Zone woreda Date of Agency Sample size Methodology Nutrition Indicatorsi survey Tigre throughout August SCF-UK 937 30 cluster Mean WHL <80%WFL W/H<-2 Z score W/H <-3 Z score 1999 92.8% 5.5% 7.7 % 1.0% Tigre Feb 2000 WVI W/H <-2 Z score W/H <-3 Z score Eastern May 2000 Feb 2000 May 2000 Feb 2000 May 2000 Asti Wenberta 685 13.1% 10.9% NA 2.6% Saesi Tsaedaemba 1412 22.3% 20.1% 3.7% 4.4% Amhara: May-June SCF-UK + 2900 58 clusters in Mean WFL < 80% WFL N.Wello Bugna 1999 worst drought 88.8% 4% Wadla affected woredas. 89,4% 7% Gidan 87.8% 3% Delanta Dawnt 89.4% 7% Gubalafto 90.0% 7% S. Wello Dessie Zuria 89.8% 7% Tenta 90.5% 3% Legambo 90.8% 5% Ambassel 90.7% 6% Mekdella 91.2% 4% Wag Hamra Dehana 88.2% 4% Oromyia Chefa 92.8% 2% Amhara Aug - Oct SCF-UK + 2500 50 clusters in Mean WFL < 80% WFL 1999 worst drought Aug Sept Oct Aug Sept Oct N.Wello Bugna affected woredas. 91.2% 88.7% 89.7% 6.6% 10.6% 7.0% Wadla 91.1% 90.7% 90.6% 7.3% 5.5% 5.7% Gidan 88.4% 88.2% 88.4% 8.9% 8.2% 9.6% S. Wello Delanta Dawnt 87.5% 87.6% 87.5% 11.0% 8.0% 7.6% Dessie Zuria 91.9% 90.9% 90.1% 4.0% 6.2% 5.2% Tenta 89.2% 89.1% 88.4% 10.0% 8.3% 11.7% Legambo 89.1% 89.7% 89.6% 8.4% 6.0% 6.4% Wag Hamra Dehana 89.7% 89.5% 90.5% 8.3% 8.2% 6.4% Amhara March- May SCF-UK + 2500 50 clusters in Mean WFL < 80% WFL N.Wello 2000 worst drought March 2000 May 2000 March 2000 May 2000 Bugna affected woredas 90.1% 90.6% Wadla 90.5% 91.1% S. -
Full Length Research Article DEVELOPMENT RESEARCH
Available online at http://www.journalijdr.com International Journal of DEVELOPMENT RESEARCH ISSN: 2230-9926 International Journal of Development Research Vol. 07, Issue, 01, pp.11119-11130, January, 2017 Full Length Research Article DETERMINANTS OF RURAL HOUSEHOLDS’ VULNERABILITY TO POVERTY IN CHENCHA AND ABAYA DISTRICTS, SOUTHERN ETHIOPIA *Fassil Eshetu Abebe Department of Economics, College of Business and Economics, Arba Minch University ARTICLE INFO ABSTRACT Article History: This study primarily aimed to examine the determinants of rural households’ vulnerability to Received 27th October, 2016 poverty and to profile the households according to their level of vulnerability using Feasible Received in revised form Generalized Least Square (FGLS) and Logistic Regression analysis with the help of data collected 28th November, 2016 from a sample of 500 households in two Woredas. The general poverty line of the study area was Accepted 14th December, 2016 determined to be Birr 248 per month per adult equivalent and 29.8 percent of the population in the th Published online 30 January, 2017 study areas were found to be poor. The projected consumption percapita after the three step FGLS estimation revealed that, the incidence of vulnerability to poverty in the area was 34.2 percent and Key Words: therefore, vulnerability was more spread in the study areas than ex post poverty. Using the two Poverty, Vulnerability, vulnerability thresholds, observed poverty rate (0.298) and vulnerability of 0.5, about 28.6%, Feasible Generalized Least Square, 5.6% and 65.8% of households were highly vulnerable, low vulnerable and not vulnerable Logit Model and Ethiopia. respectively. Most importantly, from the total poor households about 81.75%, 3.25% and 15% were highly vulnerable, low vulnerable and not vulnerable respectively. -
The Case of Damot Gale District in Wolaita Zone, Ethiopia) Zegeye Paulos Borko* Department of Economics, Wolaita Sodo University, PO Box 138, Wolaita Sodo, Ethiopia
onomic c s & f E o M Borko, Int J Econ Manag Sci 2017, 6:5 l a a n n a r g u e DOI: 10.4172/2162-6359.1000450 o m J International Journal of Economics & e l n a t n S o i c t i a ISSN: 2162-6359 e n n r c e t e s n I Management Sciences Research Article Research Article Open Access Child Labor and Associated Problems (The Case of Damot Gale District in Wolaita Zone, Ethiopia) Zegeye Paulos Borko* Department of Economics, Wolaita Sodo University, PO Box 138, Wolaita Sodo, Ethiopia Abstract The study was carried out at Damot Gale district of Wolaita zone in Southern nation nationalities regional state with the main objectives to describe factors of child labor in the study area. In order to attain this objective the study made use of cross-sectional household survey data collected from 94 sample households. The data collected were analyzed and discussed by using both descriptive statistics and binary logit regression model. To this end, identifying children’s who were in child labor and those who were not in child labor; descriptive result shows that from different age category 73% of the children’s were engaged in different activity and the remaining 27% responded as they were not working. Most children’s started working below the age of 8 and major sectors of work were unpaid family work such as agriculture 58% Male and 7.24% Female and Home service 7.3% Female and 22% male. The result of the logistic regression model revealed that out of 8 variables included in the model, 4 explanatory variables were found to be significant at 1%, 5% and 10% level. -
Land Use Patterns and Its Implication for Climate Change: the Case of Gamo Gofa, Southern Ethiopia
Defaru Debebe. et al., IJSRR 2013, 2(3), 155-173 Research article Available online www.ijsrr.org ISSN: 2279–0543 International Journal of Scientific Research and Reviews Land Use Patterns and its Implication for Climate Change: The Case of Gamo Gofa, Southern Ethiopia Defaru Debebe* and Tuma Ayele Arba Minch University P.O.Box 21, Arba Minch, Ethiopia ABSTRACT Land is one of three major factors of production in classical economics (along with labor and capital) and an essential input for housing and crop production. Land use is the backbone of agriculture and it provides substantial economic and social benefits. Assessing past-to present land use patterns associated with the crop production helps to understand which climatic effects might arise due to expanding crop cultivation. This study was conducted to evaluate the land use pattern and its implication for climate change in Gamo Gofa, Southern Ethiopia. For evaluation, correlation and time series trend analysis were used. Results revealed that a significant reduction in cultivable land, which was converted into cropland and might increase deforestation and greenhouse gas emission, in turn induce climate change. The correlation between cropland and fertile (cultivable) land (r=0.22674) in 2005 improved to (r=0.75734) in 2012 indicating major shift of fertile land to cropland in seven years interval. On other side, twelve years (1987-1999 and 2000-2011) average maximum temperature difference in Gamo Gafa was increased 0.425oC with standard deviation 0.331. It is statistically significant (t =1.284, alpha=0.10) at 10% level of error. Moreover, the spatial differences in climate change are likely to imply a heterogeneous pattern of land use responses. -
Pdf | 146.64 Kb
Ethiopian Early Warning System Monthly Report :September 2005 29 SEPTEMBER 2005 AREAS OF PRIORITY ACTION HIGHLIGHTS Flood Interrupted Road Connection in Afar Grain and livestock Price Situation Price of grain showed significant Heavy flood of Awash River that occurred on September 2, 2005 in Dubti increase in July 2005 from that of Woreda of Afar broke a bridge connecting some Kebeles with other last year. Page 5 parts of the region. According to Regional reports, a total of 42,000 people were affected by the flood. In response, the Federal DPPC in collaboration Prevalence of Malnutrition Identified with the National Defence Force and the Regional Goverment have provided Preliminary findings of an the necessary emergency supplies to the affected population. The National assessment team deployed to Defence Force has also played an important role in trasporting emergency East Hararghe Zone and East supplies using helicopters. Shewa Zone of Oromiya Region indicate cases of malnutrition in Flood Caused Damage in Dugda Bora, East Shewa Fedis, Babile and Alemaya Woredas. Page 14 Awash and Meki rivers unusually broke their bank after mid-August and flooded four localities in Dugda Bora Woreda of East Shewa Zone affecting people and causing damage to crops, livestock and residentialm houses. Agricultural Activities and Crop Performances In response, several people were rescued by motor and manual boats; dry Meher crop performance in most ration was distributed by the Fedaral DPPC and the woreda administration; mid and highland areas is flood prevention works done around the broken bank of Meki River. reported good while in some lowland areas production could Malaria Outbreak Reported likely decrease. -
Pdf | 170.55 Kb
United Nations Nations Unies Office for the Coordination of Bureau de Coordination des Humanitarian Affairs in Ethiopia Affaires Humanitaires au Ethiopie Website: Website: http://ochaonline.un.org/ethiopia http://ochaonline.un.org/ethiopia SITUATION REPORT: DROUGHT/FOOD CRISIS IN ETHIOPIA – 11th July 2008 Highlights: • MoH to start training for Health Extension Workers to support nutrition response • WFP faces a shortfall of 200,543 MT of food for emergency relief beneficiaries • Both the emergency relief food and PSNP pipelines have broken • Food insecurity likely to further exacerbate due to late planting of crops and continually soaring prices of food • High numbers of malnutrition cases reported in Borena, Bale, East and West Harerge zones of Oromiya and Gurage, Siltie, Kembata Tembaro, Sidama and Hadiya zones of SNNP Regions. Situation Update Soaring food prices and poor rain performance are expected to further affect the food security situation of the urban and rural poor, vulnerable pastoral and agropastoral populations according to WFP. Maize, harricot beans and teff planted using the late belg rains in April and May are performing well in some areas but are wilting in others due to dry spells, whilst in some areas crops have been destroyed by armyworm. Green harvest of maize and some Irish potato harvest is expected beginning in late August/September. WFP noted also that unusual stress associated with the migration of both cattle and people within the Somali Region and some areas of Afar and Oromiya Regions is resulting in increased clan conflict over resources. According to CARE, improved water availability has been recorded in South Gonder and East Harerge zones of Amhara and Oromiya Regions allowing cultivation of late planted crops. -
11 HS 000 ETH 013013 A4.Pdf (English)
ETHIOPIA:Humanitarian Concern Areas Map (as of 04 February 2013) Eritrea > !ª !ª> Note: The following newly created woreda boundaries are not Tahtay !ª E available in the geo-database; hence not represented in this Nutrition Hotspot Priority Laelay Erob R R !ª Adiyabo Mereb Ahferom !ª Tahtay Gulomekeda !ª I E map regardless of their nutrition hot spot priority 1 & 2: Adiyabo Leke T D Adiyabo Adwa Saesie Dalul Priority one Asgede Tahtay R S Kafta Werei Tsaedaemba E E Priority 1: Dawa Sarar (Bale zone), Goro Dola (Guji zone), Abichu Tsimbila Maychew !ª A Humera Leke Hawzen Berahle A Niya( North Showa zone) and Burka Dintu (West Hararge Priority two > T I GR AY > Koneba Central Berahle zone) of Oromia region, Mekoy (Nuer zone) of Gambella Western Naeder Kola Ke>lete Awelallo Priority three Tselemti Adet Temben region, Kersadula and Raso (Afder zone), Ararso, Birkod, Tanqua > Enderta !ª Daror and Yo'ale (Degahabour zone), Kubi (Fik zone), Addi Tselemt Zone 2 No Priority given Arekay Abergele Southern Ab Ala Afdera Mersin (Korahe zone), Dhekasuftu and Mubarek (Liben Beyeda Saharti Erebti Debark Hintalo !ª zone), Hadigala (Shinille zone) and Daratole (Warder Abergele Samre > Megale Erebti Bidu Wejirat zone) of Somali region. Dabat Janamora > Bidu International Boundary Alaje Raya North Lay Sahla Azebo > Wegera Endamehoni > > Priority 2: Saba Boru (Guji zone) of Oromia region and Ber'ano Regional Boundary Gonder Armacho Ziquala > A FA R !ª East Sekota Raya Yalo Teru (Gode zone) and Tulu Guled (Jijiga zone) of Somali region. Ofla Kurri Belesa -
Ethiopia Round 6 SDP Questionnaire
Ethiopia Round 6 SDP Questionnaire Always 001a. Your name: [NAME] Is this your name? ◯ Yes ◯ No 001b. Enter your name below. 001a = 0 Please record your name 002a = 0 Day: 002b. Record the correct date and time. Month: Year: ◯ TIGRAY ◯ AFAR ◯ AMHARA ◯ OROMIYA ◯ SOMALIE BENISHANGUL GUMZ 003a. Region ◯ ◯ S.N.N.P ◯ GAMBELA ◯ HARARI ◯ ADDIS ABABA ◯ DIRE DAWA filter_list=${this_country} ◯ NORTH WEST TIGRAY ◯ CENTRAL TIGRAY ◯ EASTERN TIGRAY ◯ SOUTHERN TIGRAY ◯ WESTERN TIGRAY ◯ MEKELE TOWN SPECIAL ◯ ZONE 1 ◯ ZONE 2 ◯ ZONE 3 ZONE 5 003b. Zone ◯ ◯ NORTH GONDAR ◯ SOUTH GONDAR ◯ NORTH WELLO ◯ SOUTH WELLO ◯ NORTH SHEWA ◯ EAST GOJAM ◯ WEST GOJAM ◯ WAG HIMRA ◯ AWI ◯ OROMIYA 1 ◯ BAHIR DAR SPECIAL ◯ WEST WELLEGA ◯ EAST WELLEGA ◯ ILU ABA BORA ◯ JIMMA ◯ WEST SHEWA ◯ NORTH SHEWA ◯ EAST SHEWA ◯ ARSI ◯ WEST HARARGE ◯ EAST HARARGE ◯ BALE ◯ SOUTH WEST SHEWA ◯ GUJI ◯ ADAMA SPECIAL ◯ WEST ARSI ◯ KELEM WELLEGA ◯ HORO GUDRU WELLEGA ◯ Shinile ◯ Jijiga ◯ Liben ◯ METEKEL ◯ ASOSA ◯ PAWE SPECIAL ◯ GURAGE ◯ HADIYA ◯ KEMBATA TIBARO ◯ SIDAMA ◯ GEDEO ◯ WOLAYITA ◯ SOUTH OMO ◯ SHEKA ◯ KEFA ◯ GAMO GOFA ◯ BENCH MAJI ◯ AMARO SPECIAL ◯ DAWURO ◯ SILTIE ◯ ALABA SPECIAL ◯ HAWASSA CITY ADMINISTRATION ◯ AGNEWAK ◯ MEJENGER ◯ HARARI ◯ AKAKI KALITY ◯ NEFAS SILK-LAFTO ◯ KOLFE KERANIYO 2 ◯ GULELE ◯ LIDETA ◯ KIRKOS-SUB CITY ◯ ARADA ◯ ADDIS KETEMA ◯ YEKA ◯ BOLE ◯ DIRE DAWA filter_list=${level1} ◯ TAHTAY ADIYABO ◯ MEDEBAY ZANA ◯ TSELEMTI ◯ SHIRE ENIDASILASE/TOWN/ ◯ AHIFEROM ◯ ADWA ◯ TAHTAY MAYCHEW ◯ NADER ADET ◯ DEGUA TEMBEN ◯ ABIYI ADI/TOWN/ ◯ ADWA/TOWN/ ◯ AXUM/TOWN/ ◯ SAESI TSADAMBA ◯ KLITE -
World Bank Document
Sample Procurement Plan (Text in italic font is meant for instruction to staff and should be deleted in the final version of the PP) Public Disclosure Authorized (This is only a sample with the minimum content that is required to be included in the PAD. The detailed procurement plan is still mandatory for disclosure on the Bank’s website in accordance with the guidelines. The initial procurement plan will cover the first 18 months of the project and then updated annually or earlier as necessary). I. General 1. Bank’s approval Date of the procurement Plan: Updated Procurement Plan, M 2. Date of General Procurement Notice: Dec 24, 2006 Public Disclosure Authorized 3. Period covered by this procurement plan: The procurement period of project covered from year June 2010 to December 2012 II. Goods and Works and non-consulting services. 1. Prior Review Threshold: Procurement Decisions subject to Prior Review by the Bank as stated in Appendix 1 to the Guidelines for Procurement: [Thresholds for applicable procurement methods (not limited to the list below) will be determined by the Procurement Specialist /Procurement Accredited Staff based on the assessment of the implementing agency’s capacity.] Public Disclosure Authorized Procurement Method Prior Review Comments Threshold US$ 1. ICB and LIB (Goods) Above US$ 500,000 All 2. NCB (Goods) Above US$ 100,000 First contract 3. ICB (Works) Above US$ 15 million All 4. NCB (Works) Above US$ 5 million All 5. (Non-Consultant Services) Below US$ 100,000 First contract [Add other methods if necessary] 2. Prequalification. Bidders for _Not applicable_ shall be prequalified in accordance with the provisions of paragraphs 2.9 and 2.10 of the Public Disclosure Authorized Guidelines.