DOCSLIB.ORG

The Case of Boloso Bombe and Kindo Koisha Woredas of Wolaita Zone, SNNPR, Ethiopia

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
The Case of Boloso Bombe and Kindo Koisha Woredas of Wolaita Zone, SNNPR, Ethiopia International Journal of Research and Innovations in Earth Science Volume 4, Issue 2, ISSN (Online) : 2394-1375 Determinants of Ginger Supply: The Case of Boloso Bombe and Kindo Koisha Woredas of Wolaita Zone, SNNPR, Ethiopia Alemayehu Asale and Taye Buke Ashango* Wolaita Sodo University, College Of Agriculture. Date of publication (dd/mm/yyyy): 15/03/2017 Abstract – This study tries to analyze the determinants of for instance at altitudes up to 2000 m, with rainfall often ginger (Zingiber Officinale Rosc) in Boloso Bombe and less than 1500 mm per year and at lower temperature Kindo Koisha woredas of Wolaita zone in SNNPR Hence, the (Anteneh et al., 2008). Nowadays, it is an important cash Multiple Linear Regression Model was employed to see crop in the South, Southwest and Northwestern parts of factors that determine the supply of ginger. The study has the country (Girma and Digafie, 2004). In the southern evaluated the main factors affecting the supply of ginger based on the Multiple Linear Regression Model. Thus, the parts of the country especially in Wolaita Zone (Kindo econometric model has identified the amount of introduced Koisha and Boloso Bombe districts and the areas nearby), seed made available for farmers to be the most important the crop is widely cultivated by farmers. The current variable affecting (positively) the supply of ginger. As a development policy and strategy has also targeted the crop result, the findings of this work have suggested Research for poverty reduction and food security goals for resource Institutions, NGOs and other stockholders can play a vital poor farmers at household levels. It seems to encourage role in addressing the farmers’ question of introduced seed. market oriented production via accessing appropriate Further, the number of livestock owned significantly and markets for farmers produce and thereby increasing positively affected the volume of ginger supplied. The results marketable surplus. Marketing activities, therefore, have of this manuscript also suggested building household assets (i.e. livestock) through household asset building programs an intrinsic productive value, in that it adds time, place will remedy the case. But income from other sources (exclude and possession utilities to products and commodities. ginger) adversely affected the amount of ginger supplied. Through the technical functions of storage, processing, Thus, the findings pointed out that farmers should compare and transportation and through exchange, marketing and contrast between the two and decide accordingly. Hence, increases consumer satisfaction from any given quantity of extension workers and other concerned bodies were expected output. An efficient agricultural marketing is crucial for to play valuable roles in teaching and directing the farmers effective agricultural and rural development, particularly so as they opt effectively and efficiently. with regard to sustained increase in agricultural Keywords – Ginger, Determinants, Supply and Farmers. production, farmer’s income and improvement of the food security capabilities (Arrora, 1997) I. Introduction Moreover, in the realm of economic growth, markets may provide the incentives for-profit-maximizing 1.1. Background participants to develop new technologies, products, and Ethiopia is one of the major centers of origin/diversity sources of supply, new markets and new methods of for several horticultural crops, including leafy vegetables, exploiting them. Markets can also provide a mechanism of root and tuber crops, spices, coffee and ornamental surplus extraction and inter-sect oral resource transfers, flowers (Jansen, 1981). Out of about 70 species cultivated most commonly from agricultural to non-agricultural in the world about 29 wild and semi-domesticated species sectors. Further, the development and expansion of are found in Ethiopia (Kochhar, 1998). One of the oldest markets can create increased demand through various known spice, ginger (Zingiber officinale Rosc.), has been means. For example, markets provide a source of used by man since several centuries not only as a spice but productive employment and income generation also as medicine. Ginger is indigenous to tropical India (Scarborough and Kydd, 1992). and South East Asia, Australia and Japan, with the main 1.2. Statement of the Problem center of diversity in Indo-Malaysia (Purseglove, 1972). In Ethiopia is an agricultural country where about 86 % of India, ginger in its fresh and/or dried form has its population lives in rural areas. Agriculture constituted innumerable uses in culinary and medicinal preparations. about 43 % of the gross domestic product in 1999/2000 India and China are the world’s largest producers and (Tassew,2008).Thus, agricultural products or commodities exporters of ginger. Other important producers are dominate the export market. According to the Ministry of Jamaica, Nigeria, Sierra Leone, Thailand, and Australia Agriculture, the crop sector still leads in foreign exchange (Jansen, 1981; Yiljep et al., 2005). contribution, among which coffee takes a lion share. The The literatures also argue that ginger is known to be Ministry of Agriculture also acknowledges that the role of introduced to Ethiopia as early as the 13th century and spices is not insignificant in the foreign exchange perhaps its cultivation has also been started since then. In earnings. One of the popular spices is ginger whose Ethiopia, it is often cultivated under suboptimal conditions demand has significantly been increasing over time (MOA, 2003). Copyright © 2017 IJRIES, All right reserved 27 International Journal of Research and Innovations in Earth Science Volume 4, Issue 2, ISSN (Online) : 2394-1375 The statistical information from the Ministry of 1.6. Scope and Limitations of the Study Agriculture and Rural Development indicated that 99 % of The study focuses on analysis of factors affecting ginger crop (ginger) production was from the Southern Nations, supply around Boloso Bombe and Kindo Koisha districts Nationalities and Peoples Regional State (SNNPRS) and of Wolaita zone in the SNNP region. Emphasis was given about 1 % was from the Oromia National Regional State. to those issues which place a remarkable influence up on The productivity of fresh rhizome ginger is about 11,522 ginger supplied to the market. Thus, the producers' side kg/ha in the SNNPRS, 2615 kg/ha in the Oromia National problems have got a special attention. Nevertheless, the Regional State and 7050 kg/ha nationally (MOA, 2003). study did not address the demand side problems in depth. Despite, the increasing demand for ginger the current Hence, the marketing aspects of ginger should further be income generating capacity of ginger producers when studied since they are equally important. compared to its immense potential of the areas is not as such encouraging. The primary reason among others II. METHODOLOGIES seems to be the farmers’ inability to access markets, which in turn reduces the incentive to participate in the economic 2.1. Description of the Study Areas transactions. Kindo Koisha is one of the twelve Woredas of Wolaita Furthermore, in the absence of an efficient, integrated zone. It constitutes about 23 Rural kebeles and two town and responsive market mechanism that is marked with administrative kebeles. The total population of the Woreda good performance, the possible increment in output, rural is estimated to be about 118,953 of which 58,287 male and income and foreign exchange resulting from the 60,665 female (CSA, 2007). Agro-ecological classification introduction of improved production technology could not of the woreda shows that the area is mainly kola (54%) be effective (Solomon, 2004). Earlier a study (Abrham, followed by woyna-dega and dega , 39% and 7% 2008) concentrated only on the genetic aspects of the crop respectively. The woreda is, thus, characterized as i.e. evaluation of ginger accessions for yield and oleoresin climatically hot area in the zone with temperature varying was undertaken particularly in ‘Parawocha’ and ‘Matala from 250c to 400c. The mean annual rain fall is 900mm Hembecho kebeles1 of Boloso bombe and Boloso Sore with the max and min of 1400mm and 400mm woredas respectively .Otherwise, the supply side issues of respectively. Most PAs of the woreda are situated in the ginger particularly with respect to market is left unstudied low land as the altitude ranges from 700m to 2280m above till this point. This study, therefore, gives a due emphasis sea level. Moreover, the pedological back ground of the for determinants of ginger supply in Boloso Bombe and woreda shows that 35%, 20%, and 25% of the soil is Kindo Koisha woredas of wolaita zone. nitho-sole, clay soil, and sandy soil respectively. 1.4. Objectives of the Study Cereal crops like maize, teff , wheat, barely, and 1.4.1. Major objective sorghum are the major crops grown in the area followed The overall objective of this study is to analyze factors by root-crops such as sweet potato, cassava, potato, taro, affecting ginger supply in Boloso Bombe and Kindo yam , enset , etc. Leguminous plants like haricot bean, Koisha districts. bean, pea etc are also commonly grown in the area. Ginger 1.4.2. Specific objectives is the most important cash crop grown potentially in some To investigate the determinants of ginger supply, PAs like Kindo-Angela, Oidu-Chama, Tulicha, Sorto, and To identify the constraints and prospects of ginger Borkosh. Thus, crop production mixed with livestock production. rearing is the major economic activity
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 --
    [Show full text]
  • 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.
    [Show full text]
  • Factors That Influencing the Profitability of Saving and Credit Cooperatives: the Case of Boloso Sore District, Wolaita Zone, Southern Region, Ethiopia
    European Journal of Business and Management www.iiste.org ISSN 2222-1905 (Paper) ISSN 2222-2839 (Online) DOI: 10.7176/EJBM Vol.11, No.19, 2019 Factors that Influencing the Profitability of Saving and Credit Cooperatives: The Case of Boloso Sore District, Wolaita Zone, Southern Region, Ethiopia Yisehak Ossa Jokka Lecturer, College of Business and Economics, Wolaita Sodo University, Wolaita Sodo, Ethiopia Abstract Savings and credit cooperatives are user-owned financial intermediaries. They have many names around the world, including credit unions, SACCOs, etc. Members typically share a common bond based on a geographic area, employer, community, or other affiliation. Members have equal voting rights, regardless of how many shares they own. Savings and credit are their principal services, although many offer money transfers, payment services, and insurance as well. Sometimes savings and credit cooperatives join together to form second -tier associations for the purposes of building capacity, liquidity management, and refinancing. The study was undertaken to identify factors influencing of profitability of saving and credit cooperative in Boloso Sore Woreda Wolaita zone, Southern Ethiopia .The general objective of the study was to identify factors that influencing the profitability of saving and credit cooperatives. A multistage sampling technique was employed to select 305 households from the in order to respond questionnaire . Both quantitative and qualitative data were collected from sampled households. Both descriptive and econometric data analyses techniques were applied. The findings of this study showed that, from the eleven independent variables seven of them significantly affect the profitability of saving and credit cooperative were age, education status, training access, family size, loan repayment, saving habit and service delivery.
    [Show full text]
  • Under Peer Review
    UNDER PEER REVIEW 1 PARTICIPATORY VARIETIES SELECTION AND EVALUATION OF IMPROVED 2 SWEET POTATO (Ipomoea Batatas (L.)VARIETIES ON-FARM AT 3 DIFFERENT AGRO-ECOLOGIES IN WOLAITA ZONES 4 5 6 Abstract: 7 Ethiopia is considered to be the one of the major producer of sweet potato and involves major 8 lands for this purpose. Whereas, varieties of sweet potato that yields maximum are not yet 9 known. So this particular study is aimed to identify the variety for high yield, quality sweet 10 potato, as well as its quantitative evaluation to be done. 11 12 Materials and methods: Area situated at Wolaita zone of SNNP regional state is considered 13 as the major study venue; whereas performance of fields are evaluated and specified the 14 number of crop yield of that particular area. 15 16 Result and Discussion: Eleven sweet potato varieties and four local varieties were prepared 17 for the preliminary evaluation. Observations came up with the following varieties namely 18 OFSP1, Kulfo, koka 6 and Hawassa 83 which were mostly preferred by farmers. The 19 varieties were divided into four sets, with each set having two test varieties and the check 20 variety. This is to ensure that farmers will not have difficulty in evaluating and comparing too 21 many varieties. 22 23 Conclusion: Variety of the potatoes that are preferred by the farmers is different from each 24 other, which are come up with Participatory varietal selection (PVS) technique. So as 25 differences in ranking are also preferred by them, which later ensure the genetically diverse factors 26 and differentials in growing yield of the crops.
    [Show full text]
  • Demography and Health
    SNNPR Southern Nations Nationalities and Peoples Demography and Health Aynalem Adugna, July 2014 www.EthioDemographyAndHealth.Org 2 SNNPR is one of the largest regions in Ethiopia, accounting for more than 10 percent of the country’s land area [1]. The mid-2008 population is estimated at nearly 16,000,000; almost a fifth of the country’s population. With less than one in tenth of its population (8.9%) living in urban areas in 2008 the region is overwhelmingly rural. "The region is divided into 13 administrative zones, 133 Woredas and 3512 Kebeles, and its capital is Awassa." [1] "The SNNPR is an extremely ethnically diverse region of Ethiopia, inhabited by more than 80 ethnic groups, of which over 45 (or 56 percent) are indigenous to the region (CSA 1996). These ethnic groups are distinguished by different languages, cultures, and socioeconomic organizations. Although none of the indigenous ethnic groups dominates the ethnic makeup of the national population, there is a considerable ethnic imbalance within the region. The largest ethnic groups in the SNNPR are the Sidama (17.6 percent), Wolayta (11.7 percent), Gurage (8.8 percent), Hadiya (8.4 percent), Selite (7.1 percent), Gamo (6.7 percent), Keffa (5.3 percent), Gedeo (4.4 percent), and Kembata (4.3 percent) …. While the Sidama are the largest ethnic group in the region, each ethnic group is numerically dominant in its respective administrative zone, and there are large minority ethnic groups in each zone. The languages spoken in the SNNPR can be classified into four linguistic families: Cushitic, Nilotic, Omotic, and Semitic.
    [Show full text]
  • 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.
    [Show full text]
  • AFET-22 Appeal Target: US$ 27,030,875 Balance Requested from ACT Network: US$ 26,995,619
    150 route de Ferney, P.O. Box 2100 1211 Geneva 2, Switzerland Appeal Tel: 41 22 791 6033 Fax: 41 22 791 6506 e-mail: [email protected] Ethiopia Coordinating Office Assistance to Drought Affected - AFET-22 Appeal Target: US$ 27,030,875 Balance Requested from ACT Network: US$ 26,995,619 Geneva, 21 November 2002 Dear Colleagues, According to the report released in September 2002 by the Ethiopia Federal Disaster Preparedness and Prevention Commission (DPPC), over 6.8 million people in Ethiopia are facing severe food shortages during the current period, with the numbers expected to rise to about 10 million people in the early part of 2003. The Ethiopian Prime Minister, Meles Zenawi was quoted earlier this month as saying that the country faces a famine worse than that of 1984 which killed nearly one million people and sparked off huge international relief efforts. He was further quoted “if the 1984 famine was a nightmare, then this will be too ghastly to contemplate”. Whether this statement could be considered accurate or not, the truth of the matter is that Ethiopia is once more faced with a very severe food crisis which calls for the international community to intervene with massive food aid. As a country highly dependent on rain fed agriculture, this years’ partial or total failure of the belg (short rains) in many areas aggravated the problem of food insecurity. The meher rains (longer rains) also came late and were erratic affecting the long cycle crops and the availability of pasture and water supplies in many pastoral areas.
    [Show full text]
  • Assessment on Major Reproductive Health Problems of Dairy Cattle in Boloso Sore, Southern Ethiopia
    Vol. 10(9), pp. 224-230, September 2018 DOI: 10.5897/JVMAH2018.0673 Article Number: C9A8CED58175 ISSN: 2141-2529 Copyright ©2018 Journal of Veterinary Medicine and Animal Author(s) retain the copyright of this article http://www.academicjournals.org/JVMAH Health Full Length Research Paper Assessment on major reproductive health problems of dairy cattle in Boloso Sore, Southern Ethiopia Filmon Misebo, Tadele Gashaw and Melese Yilma* School of Veterinary Medicine, P.O. Box 138 Wolaita Sodo, Ethiopia. Received 2 February, 2018: Accepted 25 July, 2018 The ultimate goal integrated herd health management is to lower calving interval, decrease the number of services per conception thereby increasing reproduction and production but reproductive health disorders affect the reproductive performance of the dairy cows, the number of potential replacement needed to maintain a constant herd size and the longevity of the cow in the herd. There was insufficiency research information in the particular situation in the area for dairy production intensification. Assessments were conducted to identify the major reproductive health problems of dairy cattle and associated risk factors at Boloso Sore, Ethiopia from November 2016 to April 2017. In the present study, smallholder dairy owners were interviewed using local language; data on dairy reproductive performances particularly history of reproductive health problems were collected. A total of 200 respondents were interviewed and the finding revealed that the most frequently encountered reproductive health problems were repeat breeding, dystocia, abortion retained fetal membranes, uterine prolapsed, and still birth: 17,16.5, 14.5, 5.5, 3.5, and 1% respectively were record. Overall, fifty two percent (n=104/200) of dairy owners responded to the presence of either one or more reproductive disorders history in their herd.
    [Show full text]
  • 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
    [Show full text]
  • 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
    [Show full text]
  • Guide 2000 English.Pub
    1 MAY 2008 AWASSA 2 Table of Contents Page N0 • Introduction 1 Part I Location and Administrative Division—- - - - - - - - - - - - - - 2 • Topography —- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 2 • Climate —- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - • Soil Resource —- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 3 • Land use and land cover —- - - - - - - - - - - - - - - - - - - - - - - - - 3 • Water bodies —- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - • Forest Resource —- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 5 • Wild life resource —- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 5 • Tourist Attraction and potential —- - - - - - - - - - - - - - - - - - - 6 • Population —- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 7 • Ethnic Composition —- - - - - - - - - - - - - - - - - - - - - - - - - 8 • Urbanization —- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 8 • Agriculture —- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 8 • Livestock resource —- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 9 • Fisher —- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 9 • Hides and skins production and market —- - - - - - - - - - - - - - 9 • Apiculture —- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 9 • Industry —- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 9 • Education—- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    [Show full text]
  • Refugee Update up to 15,000 People from the Lou Nuer Community Have Crossed Into Ethiopia’S Western Gambella Region Since Mid- February 2012
    Refugee Update Up to 15,000 people from the Lou Nuer community have crossed into Ethiopia’s western Gambella Region since mid- February 2012. The new arrivals – most of whom are women, children and elderly – have settled near the border town of Matar and are living in makeshift shelters. Local communities have been sharing existing food and water stocks and other public facilities with the new arrivals, but the influx has stretched water and sanitation facilities beyond their capacity. UNHCR is working with the government refugee agency, ARRA, to establish a transit centre near Matar and to expedite the screening, registration and relocation of individuals verified as refugees to Fugnido camp. As of 13 March, about 1,300 people had been transferred to Fugnido. Fugnido camp was opened in 1993 in response to previous influxes of refugees from Sudan and is home to an existing population of some 23,000 refugees, most of whom would now be Southern Sudanese. UNHCR has started distribution of non-food items (NFIs), including tents, plastic sheets, blankets, kitchen sets and jerry cans to the new arrivals in Fugnido from its stockpile in Gambella, while ARRA and WFP are providing food assistance. WFP is also working with Government counterparts to extend food assistance in Gambella Region to cover the already-vulnerable host community. UNHCR and ARRA are also working to prepare for possible additional influxes of refugees in the future. For more information, contact: [email protected] or [email protected] Price Update Ethiopia’s year-on-year inflation rate rose to 36.3 per cent in February, up from 32 per cent the previous month.
    [Show full text]