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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 -- -
The Mid-Term Evaluation of Usaid/Pact/Teach Program Report
THE MID-TERM EVALUATION OF USAID/PACT/TEACH PROGRAM REPORT Ethio-Education Consultants (ETEC) Piluel ABE Center - Itang October 2008 Addis Ababa Ethio-Education Consultants (ETEC) P.O. Box 9184 A.A, Tel: 011-515 30 01, 011-515 58 00 Fax (251-1)553 39 29 E-mail: [email protected] ACKNOWLEDGEMENT Ethio-Education Consultants (ETEC) would like to acknowledge and express its appreciation to USAID/ETHIOPIA for the financial support and guidance provided to carryout the MID-TERM EVALUATION OF USAID/PACT/TEACH PROGRAM, Cooperative Agreement No. 663-A-00-05-00401-00. ETEC would also like to express its appreciation and gratitude: To MoE Department of Educational Planning and those RSEBs that provided information despite their heavy schedule To PACT/TEACH for familiarizing their program of activities and continuous response to any questions asked any time by ETEC consultants To PACT Partners for providing relevant information and data by filling out the questionnaires and forms addressed to them. To WoE staff, facilitators/teachers and members of Center Management Committees (CMCs) for their cooperation to participate in Focus Group Discussion (FDG) ACRONYMS ABEC Alternative Basic Education Center ADA Amhara Development Association ADAA African Development Aid Association AFD Action for Development ANFEAE Adult and Non-Formal Education Association in Ethiopia BES Basic Education Service CMC Center Management Committee CTE College of Teacher Education EDA Emanueal Development Association EFA Education For All EMRDA Ethiopian Muslim's Relief -
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. -
Cost and Benefit Analysis of Dairy Farms in the Central Highlands of Ethiopia
Ethiop. J. Agric. Sci. 29(3)29-47 (2019) Cost and Benefit Analysis of Dairy Farms in the Central Highlands of Ethiopia Samuel Diro1, Wudineh Getahun1, Abiy Alemu1, Mesay Yami2, Tadele Mamo1 and Takele Mebratu1 1 Holetta Agricultural Research Center; 2Sebeta National Fishery Research አህፅሮት ይህ ጥናት የወተት ላም የወጪ-ገቢ ትንተና ለማድረግ የታቀደ ነዉ፡፡ ጥናቱ ከ35 ትናንሽ እና 25 ትላልቅ የወተት ፋርሞች ላይ የተደረገ ነዉ፡፡ መረጃዉ ከአራት እስከ ስድስት ተከታታይ ወራት የተሰበሰበ ስሆን ይህን መረጃ ለማጠናከር የወተት ፋርሞች መልካም አጋጣሚዎችና ተግዳሮቶች ተሰብስቧል፡፡ መረጃዉ የተሰበሰበዉ ፋርሙ ዉስጥ ካሉት ሁሉም የዲቃላ የወተት ላሞች ነዉ፡፡ የዚህ ምርምር ግኝት እንደሚያመለክተዉ 80 ፐርሰንት የሚሆነዉ የወተተወ ላሞች ወጪ ምግብ ነዉ፡፡ ትናንሽ ፋርሞች ከትላልቅ ፋርሞች 35 ፐርሰንት የበለጠ ወጪ ያወጣሉ፤ ነገር ግን ትላልቅ ፋርሞች ከትናንሽ ፋርሞች በ55 ፐርሰንት የበለጠ ዓመታዉ ትቅም ያገኛሉ፡፡ ትልቁ የወተት ላሞች ገቢ ከወተት ስሆን የጥጃ ገቢም በተከታይነት ትልቅ ቦታ የሚሰጠዉ ነዉ፡፡ በዚህ ጥናት ግኝት መሰረት የትላልቅ ፋርሞች ያልተጣራ ማርጂን ከትናንሽ ፋርሞች በሦስት እጥፍ እንደሚበልጥ ተረጋግጧል፡፡ የጥቅም-ወጪ ንፅፅር 1.43 እና 2.24 ለትናንሽና ለትላልቅ የወተት ፋርሞች በቅድመ ተከተል እንደሆነ ጥናቱ ያመለክታል፡፡ ይህም ትላልቅ ፋርሞች ከትናንሽ ፋርሞች የበለጠ ትርፋማ እንደሆኑ ያሚያሳይ ነዉ፡፡ የማስፋፍያ መሬት እጥረት፣ የብድር አገልግሎት አለመኖር፣ የሞያዊ ድጋፍ አለመኖር፣ የመኖና የመድሃኒት ዋጋ ንረት፣ ከፍተኛ የወት ዋጋ መለያየት፣ የማዳቀል አገልግሎት ዉጤታማ ያለመሆን፣ የጽንስ መጨናገፍ በፋርሞቹ ባለቤቶች የተነሱ ተግዳሮቶች ናቸዉ፡፡ በዚህ መሰረት ምርታማነታቸዉ ዝቅተኛ የሆኑትን ላሞች ማስወገድ፤ የላሞች ቁጥር ማብዛት፣ በስልጠና የፋርሞቹን ባለቤቶችና የማዳቀል አገልግሎት የሚሰጡትን አካላት ማብቃትና የገብያ ትስስር ማጠናከር፣ አርሶ-አደሩን በመደራጀት የመኖ ማቀነባበርያ መትከል አስፈላጊ እንደሆነ ይህ ጥናት ምክረሃሳብ ያቀርባል፡፡ Abstract This study was conducted to estimate costs and gross profits of dairy farms under small and large diary management in central highlands of Ethiopia. -
Role of Female and Male Headed Households in Dairy Production, Processing and Marketing in Walmera District of Central High Lands of Ethiopia
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by International Institute for Science, Technology and Education (IISTE): E-Journals Journal of Biology, Agriculture and Healthcare www.iiste.org ISSN 2224-3208 (Paper) ISSN 2225-093X (Online) Vol.6, No.23, 2016 Role of Female and Male Headed Households in Dairy Production, Processing and Marketing in Walmera District of Central High Lands of Ethiopia Alganesh Tola 1* Abdi Kaba 1 Mebrat Hailu 1 Zerihun Asefa 1 Kasahun Melesse 2 1.Holeta Agricultural Research Center 2.Debre Ziet Agricultural Research Center Ethiopian Institute of Agricultural Research P. O. Box 2003, Addis Ababa, Ethiopia Abstract A formal survey was conducted in Rob Gebeya women dairy producers of Walmera districts of West Shewa in central highlands of Ethiopia. The objective of the study was to identify constraints of female headed households (FHH) in comparison with male headed households (MHH) in dairy production, handling, processing and marketing. A total of 66 dairy producer households were randomly selected from a women dairy producer association in Rob Gebeya ‘kebele’ of Walmera district. The average family size (Mean ± SE) in the FHHs in Rob Gebeya was 4.8 ± 0.7 persons per household whereas the MHHs was 6.0 ± 0.3 persons. FHHs had less access to education than MHHs in Rob Gebeya. Dairy and food crop based farming enterprises were identified as major sources of livelihood. Record keeping is not common in more than half of the respondents both in female and male headed households. The situation is more aggravated in FHH where more than 80% of the FHHs do not keep any type of farm record. -
Oromia Region Administrative Map(As of 27 March 2013)
ETHIOPIA: Oromia Region Administrative Map (as of 27 March 2013) Amhara Gundo Meskel ! Amuru Dera Kelo ! Agemsa BENISHANGUL ! Jangir Ibantu ! ! Filikilik Hidabu GUMUZ Kiremu ! ! Wara AMHARA Haro ! Obera Jarte Gosha Dire ! ! Abote ! Tsiyon Jars!o ! Ejere Limu Ayana ! Kiremu Alibo ! Jardega Hose Tulu Miki Haro ! ! Kokofe Ababo Mana Mendi ! Gebre ! Gida ! Guracha ! ! Degem AFAR ! Gelila SomHbo oro Abay ! ! Sibu Kiltu Kewo Kere ! Biriti Degem DIRE DAWA Ayana ! ! Fiche Benguwa Chomen Dobi Abuna Ali ! K! ara ! Kuyu Debre Tsige ! Toba Guduru Dedu ! Doro ! ! Achane G/Be!ret Minare Debre ! Mendida Shambu Daleti ! Libanos Weberi Abe Chulute! Jemo ! Abichuna Kombolcha West Limu Hor!o ! Meta Yaya Gota Dongoro Kombolcha Ginde Kachisi Lefo ! Muke Turi Melka Chinaksen ! Gne'a ! N!ejo Fincha!-a Kembolcha R!obi ! Adda Gulele Rafu Jarso ! ! ! Wuchale ! Nopa ! Beret Mekoda Muger ! ! Wellega Nejo ! Goro Kulubi ! ! Funyan Debeka Boji Shikute Berga Jida ! Kombolcha Kober Guto Guduru ! !Duber Water Kersa Haro Jarso ! ! Debra ! ! Bira Gudetu ! Bila Seyo Chobi Kembibit Gutu Che!lenko ! ! Welenkombi Gorfo ! ! Begi Jarso Dirmeji Gida Bila Jimma ! Ketket Mulo ! Kersa Maya Bila Gola ! ! ! Sheno ! Kobo Alem Kondole ! ! Bicho ! Deder Gursum Muklemi Hena Sibu ! Chancho Wenoda ! Mieso Doba Kurfa Maya Beg!i Deboko ! Rare Mida ! Goja Shino Inchini Sululta Aleltu Babile Jimma Mulo ! Meta Guliso Golo Sire Hunde! Deder Chele ! Tobi Lalo ! Mekenejo Bitile ! Kegn Aleltu ! Tulo ! Harawacha ! ! ! ! Rob G! obu Genete ! Ifata Jeldu Lafto Girawa ! Gawo Inango ! Sendafa Mieso Hirna -
Prevalence of Bovine Cysticercosis at Holeta Municipality Abattoir and Taenia Saginata at Holeta Town and Its Surroundings, Central Ethiopia
Research Article Journal of Veterinary Science & Technology Volume 12:3, 2020 ISSN: 2157-7579 Open Access Prevalence of Bovine Cysticercosis at Holeta Municipality Abattoir and Taenia Saginata at Holeta Town and its Surroundings, Central Ethiopia Seifu Hailu* Ministry of Agriculture, Addis Ababa, Ethiopia Abstract A cross section study was conducted during November 2011 to March 2012 to determine the prevalence of Cysticercosis in animals, Taeniasis in human and estimate the worth of Taeniasis treatment in Holeta town. Active abattoir survey, questionnaire survey and inventories of pharmaceutical shops were performed. From the total of 400 inspected animals in Holeta municipality abattoir, 48 animals had varying number of C. bovis giving an overall prevalence 12% (48/400). Anatomical distribution of the cyst showed that highest proportions of C. bovis cyst were observed in tongue, followed by masseter, liver and shoulder heart muscles. Of the total of 190 C. bovis collected during the inspection, 89(46.84%) were found to be alive while other 101 (53.16%) were dead cysts. Of the total 70 interviewed respondents who participated in this study, 62.86% (44/70) had contract T. saginata Infection, of which, 85% cases reported using modern drug while the rest (15%) using traditional drug. The majority of the respondent had an experience of raw meat consumption as a result of traditional and cultural practice. Human Taeniasis prevalence showed significant difference (p<0.05) with age, occupational risks and habit of raw meat consumption. Accordingly individuals in the adult age groups, occupational high risk groups and habit of raw meat consumers had higher odds of acquiring Taeniasis than individuals in the younger age groups, occupational law risk groups and cooked meat consumers, respectively. -
Administrative Region, Zone and Woreda Map of Oromia a M Tigray a Afar M H U Amhara a Uz N M
35°0'0"E 40°0'0"E Administrative Region, Zone and Woreda Map of Oromia A m Tigray A Afar m h u Amhara a uz N m Dera u N u u G " / m r B u l t Dire Dawa " r a e 0 g G n Hareri 0 ' r u u Addis Ababa ' n i H a 0 Gambela m s Somali 0 ° b a K Oromia Ü a I ° o A Hidabu 0 u Wara o r a n SNNPR 0 h a b s o a 1 u r Abote r z 1 d Jarte a Jarso a b s a b i m J i i L i b K Jardega e r L S u G i g n o G A a e m e r b r a u / K e t m uyu D b e n i u l u o Abay B M G i Ginde e a r n L e o e D l o Chomen e M K Beret a a Abe r s Chinaksen B H e t h Yaya Abichuna Gne'a r a c Nejo Dongoro t u Kombolcha a o Gulele R W Gudetu Kondole b Jimma Genete ru J u Adda a a Boji Dirmeji a d o Jida Goro Gutu i Jarso t Gu J o Kembibit b a g B d e Berga l Kersa Bila Seyo e i l t S d D e a i l u u r b Gursum G i e M Haro Maya B b u B o Boji Chekorsa a l d Lalo Asabi g Jimma Rare Mida M Aleltu a D G e e i o u e u Kurfa Chele t r i r Mieso m s Kegn r Gobu Seyo Ifata A f o F a S Ayira Guliso e Tulo b u S e G j a e i S n Gawo Kebe h i a r a Bako F o d G a l e i r y E l i Ambo i Chiro Zuria r Wayu e e e i l d Gaji Tibe d lm a a s Diga e Toke n Jimma Horo Zuria s e Dale Wabera n a w Tuka B Haru h e N Gimbichu t Kutaye e Yubdo W B Chwaka C a Goba Koricha a Leka a Gidami Boneya Boshe D M A Dale Sadi l Gemechis J I e Sayo Nole Dulecha lu k Nole Kaba i Tikur Alem o l D Lalo Kile Wama Hagalo o b r Yama Logi Welel Akaki a a a Enchini i Dawo ' b Meko n Gena e U Anchar a Midega Tola h a G Dabo a t t M Babile o Jimma Nunu c W e H l d m i K S i s a Kersana o f Hana Arjo D n Becho A o t -
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. -
Ethiopia: Floods
Emergency Plan of Action (EPoA) Ethiopia: Floods DREF n° MDRET018 Glide n° FL-2017-000139-ETH nd For DREF; Date of issue: 22 September 2017 Expected timeframe: Three months Expected end date: 8 December 2017 Project Manager/Budget Manager IFRC: This person is National Society Focal Point: This person is responsible for the compliance, reporting and responsible for the compliance, reporting and implementation of the operation from IFRC. implementation of the operation from ERCS. Andreas SANDIN- Operation Coordinator Engida Mandefro- Deputy Secretary General- DRM DREF allocated: CHF 269,051 Total number of people affected: Number of people to be assisted: 2,103 HHs (10,515 1 Floods: 18,628 HHs (93,140 people) people) Civil unrest: 45,000 HHs (225,000 people) Host National Society presence (n° of volunteers, staff, branches): Ethiopian Red Cross Society (ERCS), has 11 Regional branches, 33 Zones, 80 Districts structures, with 1,300 staff, and over 3,000 grass root committees and 29,331 youth and adult volunteers through the country. A total of 168 BDRTs and 16 NDRTs have also been trained. Red Cross Red Crescent Movement partners actively involved in the operation: Austrian Red Cross, Canadian Red Cross, Finnish Red Cross, ICRC, IFRC, Netherlands Red Cross and Spanish Red Cross. Other partner organizations actively involved in the operation: IOM, International Rescue Committee, National Disaster Risk Management Commission and UNICEF. A. Situation analysis Description of the disaster In Ethiopia, rainfall attributed to the Kiremt rains, which began on 8 September 2017 has led to extensive flooding. The Ambeira zone in Afar region, and special zones surrounding Addis Ababa (the capital), Jima, South-east Shewa, and South-west Shewa in the Oromia region have been worst affected by the rains and flooding. -
Do They Really Behave Differently? Implications for Maternal and Child Healthy Behavior Diffusi
Kebede et al., Prim Health Care 2019, 9:2 alt y He hca ar re : im O r p P e f n o A l c a c n e r s u s o Primary Health Care: Open Access J ISSN: 2167-1079 Research Article Open Access They were Claimed Model Mothers: Do They Really Behave Differently? Implications for Maternal and Child Healthy Behavior Diffusion in Rural Contexts of Central Ethiopia Yohannes Kebede1*, Eshetu Girma2 and Gemechis Etana1 1Department of Health, Behavior and Society, Institute of Health, Faculty of Public Health, Jimma University, Ethiopia 2School of Public Health, Addis Ababa University, Ethiopia Abstract Background: Health Extension Program (HEP) was launched-innovative community health service since 2002 in Ethiopia. Since then, families have been graduating as models for the HEP. This study intended to compare model and non-model families (MFs and NMFs) on MCH behaviors. Methods: We conducted correlational study between mothers' model status and MCH service use in Sebeta Hawas district, Oromia, Ethiopia. A total of 305 samples of MFs and NMFs were involved in the study. We applied simple random sampling. We used a questionnaire adapted from literatures together with discussion guides. It mainly composed of utilization of Family Planning (FP), antenatal care (ANC), delivery care (DC), postnatal care (PNC) and immunization. We analyzed the quantitative data using Statistical Package for Social Sciences (SPSS) version 16. Finally, we triangulated the quantitative and qualitative findings. Results: The study showed statistically significant variations between MFs and NMFs over family size, knowledge of (ANC, delivery complications and PNC) and utilization of (FP and ANC visits). -
Determination of Physicochemical Properties, Heavy Metals and Pesticide Residues of Honey Samples Collected from Walmara, Ethiopia
International Journal of Advanced Research in Chemical Science (IJARCS) Volume 6, Issue 7, 2019, PP 23-33 ISSN No. (Online) 2349-0403 DOI: http://dx.doi.org/10.20431/2349-0403.0607004 www.arcjournals.org Determination of Physicochemical Properties, Heavy Metals and Pesticide Residues of Honey Samples Collected From Walmara, Ethiopia Deressa Kebebe1*, Alemayehu Paulos2, Ermias Haile3 Department of Chemistry, Hawassa University, Hawassa, Ethiopia *Corresponding Author: Deressa Kebebe, Department of Chemistry, Hawassa University, Hawassa, Ethiopia Abstract: This study was conducted to investigate pesticide residues, heavy metals and physicochemical parameters levels in honey samples. In this study, the results of moisture content, electrical conductivity, pH and ash were 15.15 –21.75%, 0.45–1.55 mScm-1, 3.50–4.50, and 0.18–0.80% and that of Fe, Zn, Cu, Pb, Cd, Ni and Cr were analyzed by using flame atomic absorption spectrophotometer and the concentrations ranged from 4.87-11.79 µg/g, 1.41-6.94 µg/g, 0.22-1.22 µg/g, 0.37-0.90 µg/g, 0.04-0.70 µg/g, 0.26-0.60 µg/g and 0.16-0.50µg/g with mean concentration ranges, respectively. All metals were determined by using atomic absorption spectrophotometer except Fe that was determined by using UV-visible spectrophotometer. The percentage recovery for metal analyses was from 85% to 104%. Cd, Cu, Cr and Pb concentrations in honey samples from all sites were not significantly different but Fe, Zn and Ni levels were significantly different at (p<0.05). Pesticide residues in the honey samples were determined by using gas chromatography coupled with mass spectrometer technique.