Environment & Energy Sector Dashboard Q4 2020
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The Electoral Commission
THE REPUBLIC OF UGANDA THE ELECTORAL COMMISSION Telephone: +256-41-337500/337508-11 Plot 55 Jinja Road Fax: +256-31-262207/41-337595/6 P. O. Box 22678 Kampala, Uganda E-mail: [email protected] Website: www.ec.or.ug th Ref: ………………………………………Adm72/01 Date: ....9 ......................................... July 2019 Press Statement Programme for Elections of Interim Chairpersons in the Seven Newly-created Districts The Electoral Commission informs the general public that the following seven (7) newly- created districts came into effect on 1st July 2019: 1. Madi-Okollo District, which has been created out of Arua District; 2. Karenga District, which has been created out of Kaabong District; 3. Kalaki District, which has been created out of Kaberamaido District; 4. Kitagwenda District, which has been created out of Kamwenge District; 5. Kazo District, which has been created out of Kiruhura District; 6. Rwampara District, which has been created out of Mbarara District; and, 7. Obongi District, which has been created out of Moyo District. Accordingly, the Electoral Commission has appointed Thursday, 25th July, 2019 as the polling day for Elections of Interim District Chairperson in the above seven newly- created districts. Voting shall be by Electoral College and secret ballot and will be conducted at the headquarters of the respective new district, starting at 9:00am. The Electoral College shall comprise District Directly Elected Councillors and District Women Councillors representing the electoral areas forming the new districts. Please note that the elections of District Woman Representative to Parliament in the above newly-created districts will be conducted in due course. -
Poverty Map Report
Poverty Maps of Uganda Mapping the Spatial Distribution of Poor Households and Child Poverty Based on Data from the 2016/17 Uganda National Household Survey and the 2014 National Housing and Population Census Technical Report October 2019 1 Acknowledgement This technical report presents the results of the Uganda poverty map update exercise, which was conducted by the Uganda Bureau of Statistics (UBOS) in close collaboration with UNICEF and the World Bank. The core task team at UBOS consisted of Mr. James Muwonge (Director of Socio-Economic Surveys), Mr. Justus Bernard Muhwezi (Manager of Geo-Information Services), Mr. Stephen Baryahirwa (Principal Statistician and Head of the Household Surveys Unit), Mr. Vincent Ssennono (Principal Statistician and Head of the Methodology and Analysis Unit), and Mr. Adriku Charles (Senior Geo-Information Officer). The core task team at the World Bank consisted of Dr. Nobuo Yoshida (Lead Economist), Dr. Carolina Mejia-Mantilla (Uganda Country Poverty Economist), Dr. Minh Cong Nguyen (Senior Economist) and Ms. Miyoko Asai (Consultant). Dr. Nobuo Yoshida and Dr. Minh Cong Nguyen supervised the exercise and ensured that the latest international experience and technical innovations were available to the team. The core task team in UNICEF consisted of Dr. Diego Angemi (Chief Social Policy and Advocacy), Mr. Arthur Muteesasira (Information Management and GIS Officer), and Ms. Sarah Kabaija (Monitoring and Evaluation Specialist). The team benefited from the support and guidance provided by Dr. Robin D. Kibuka(Chairman of the Board, UBOS), Ms. Doreen Mulenga (Country Representative, UNICEF), Mr. Antony Thompson (Country Manager, World Bank), and Dr. Pierella Paci (Practice Manager, World Bank). -
IOM 2019 Report.Pdf
2019 2 IOM IN UGANDA, 2019 South Sudan Moyo Koboko Lamwo Yumbe Obongi Amuru D.R. Congo Hoima/Kikuube Nakasongola Ntoroko Iganga Bundibudyo Kenya Kasese Rubirizi Rukungiri Masaka Rwanda Tanzania Districts of Kampala Hoima Kikuube Isingiro Mbarara Yumbe Moyo Kyegegwa Lamwo Koboko Amuru Kasese Kisoro Bundibugyo Ntoroko Kaabong Amudat Moroto ⦿ Iganda Masaka ⦿ Rubirizi ⦿ Rukungiri⦿ Obongi⦿ Nakasongola,⦿ and in⦿ the refugee⦿ settlements⦿ of Nakivale, ⦿ Kyangwali,⦿ Kyaka ll,⦿ Palorinya and⦿ Bidibidi. ⦿ ⦿ ⦿ ⦿ ⦿ ⦿ ⦿ ⦿ ⦿ ⦿ ⦿ 3 IOM staff pose at the end of a team-building retreat Foreword by IOM in Our Migration Policy C Partners Chief of Mission Brief and Data O 4 5 6 7 N Community Humanitarian Protection & Resettlement T Emergencies Stabilization Assistance and Movement E 11 17 21 25 N Migration Migration, Immigration Canada Visa T Health Environment & & Border Application Programmes Climate Change Management Centre S 29 39 41 44 4 FOREWORD In Kampala, we supported youths, women and refugees and migrants, thanks to the Strengthening Social Cohesion and Stability in Slum Populations (SSCoS) project, funded by the European Union Trust Fund for Africa (EUTF), as well as two other projects funded by the Government of the United States of America. Labour exportation remains a thriving business, but fraught with problems such as inadequate protection abroad, and human trafficking. The Better Migration Management Programme (BMM), funded by EUTF and the German Government, worked to improve labour externalization, prevent human trafficking and improve border -
Dairy Development in Uganda
DAIRY DEVELOPMENT IN UGANDA MinistryThe Republic of Agriculture of Uganda Animal Industry and Fisheries (MAAIF) Food and Agriculture A Review of Uganda’s Dairy Industry Organization of the United Nations Dairy Development Authority (DDA) Author: David Balikowa National Consultant, GOU/FAO Dairy Project, TCP/UGA/3202(D); Senior Business Advisor, TechnoServe/East Africa Dairy Development Project (EADD) March 2011 i TABLE OF CONTENTS LIST OF TABLES .................................................................................................................................. v LIST OF FIGURES ................................................................................................................................ v ACRONYMS AND ABBREVIATIONS .....................................................................................................vi EXECUTIVE SUMMARY ...................................................................................................................... vii CHAPTER 1 ........................................................................................................................................ 1 1. INTRODUCTION ......................................................................................................................... 1 1.1 Geographical Location of Uganda ....................................................................................... 1 1.2 Contribution of Agriculture to the National Economy ......................................................... 1 1.3 Historical Overview of -
DOWNLOAD IPC Uganda Acutefi Situation
REPORT OF THE INTEGRATED FOOD SECURITY PHASE CLASSIFICATION ANALYSIS FOR UGANDA PREPARED BY UGANDA IPC TECHNICAL WORKING GROUP January 2016 1 Table of Contents Table of Contents .................................................................................................................................... 2 Acronyms ................................................................................................................................................. 4 CHAPTER ONE .......................................................................................................................................... 6 1.0 FOOD SECURITY ANALYSIS METHODOLOGY AND SCOPE ............................................................ 6 1.1 Background .......................................................................................................................................... 6 1.2 IPC Approach ....................................................................................................................................... 6 1.3 Acute Food Insecurity Analysis- November 2015 to April 2016 ................................................... 7 1.4 Methodology ....................................................................................................................................... 7 1.5 Limitations ........................................................................................................................................... 8 1.6 Summary Findings .............................................................................................................................. -
Performance Snapshot Palorinya Q4
Performance Snapshot Quarter 4 Uganda Refugee Response Plan (RRP) 2020-2021 January - December 2020 122,244 Palorinya Refugee Settlement Refugees & Asylum Seekers 33 Partners 30,364 HHs Moyo/Obongi Sub-Office Sector Actual status per key indicator Target/Standard (2020 revised) Actual against annual target or standard 66% children of school going age 100% 66% 34% enrolled in primary school (Term I 2020) 0 20 40 60 80 100 The pupil teacher ratio for primary Actual | 1:103 Education 1:71 schools was 1:103 (Term I 2020) Target 0 21 42 63 84 105 2,576 households using alternative 9,972 (target) 0 26% 20 40 60 80 100 and/or renewable energy (Q1 - 4 data) 1/HH (standard) 257.2 hectares of forests, wetlands, Environment & riverbanks and lakeshores protected 0 20 40 60 80 100 Energy 200 ha >100% and restored 117,528 refugees received monthly 122,244 Individuals 96% in-kind food assistance (In Q4) 0 20 40 60 80 100 Food 37% of HH with poor or borderline 18% (original 2020 target) Security Food Consumption Score (In Q4) <20% (standard) 0 8 16 24 32 40 The severe Acute Malnutrition 75% (target) Actual | 56% recovery rate was 56% (In Q4) > 75% (standard) Target/standard 0 15 30 45 60 75 Health & The under-five mortality rate was 0.1 0.1 (target) Actual | 0.1 Nutrition per 1,000 children (In Q4) < 1.5 (standard) Target/standard 0.0 0.3 0.6 0.9 1.2 1.5 8,405 refugee households received 14,847 HHs 57% emergency livelihood support (Q1 - 4 data) 0 20 40 60 80 100 Livelihoods & Resilience 4,306 refugees received financial 2,000 Individuals >100% literacy -
Project Evaluation Report
Project Evaluation Report Prevalence of SGBV and Impact of TPO Psychosocial Support Model and Livelihoods Interventions on Mental Health Recovery of SGBV Survivors in Emergency in the West Nile Region. Prepared by Denis Nuwagaba (Lead), Dorothy Najjingo and Fatuma Arinaitwe ULINZI INNOVATIONS CONSULT LIMITED December 2019 1 Acronyms ARC American Refugee Council AWYAD African Women and Youth Action for Development CBT(T) Cognitive Behavioral Therapy for Trauma CFPU Child and Family Protection Unit of the Police CHS Core Humanitarian Standards CPC Child Protection Committee DCDO District Community Development Officer DFID Department for International Development FGD Focus Group Discussion FGM Female Genital Mutilation GALS Gender Action Learning Systems IASC Inter-Agency Steering Committee IEC Information, Communication & Education IGAs Income Generating Activities INGOs International Non-Governmental Organizations IRC International Rescue Committee KII Key Informant Interview LC Local Council LWF Lutheran World Federation MH Mental Health MHPSS Mental Health Psychosocial Support MTI Medical Teams International NURI Northern Uganda Resilience Initiative PFA Psychosocial First Aid PSEA Prevention of Sexual Exploitation and Abuse PTSD Post Traumatic Stress Disorder RWC Refugee Welfare Committee SASA Start, Awareness, Start, Actions SGBV Sexual Gender Based Violence SOPs Standard Operating Procedures TOR Terms of Reference TPO Transcultural Psychosocial Organization UN United Nations UNFPA United Nations Population Fund UNHCR United Nations High Commission for Refugees VPAs Volunteer Psychosocial Assistants VSLAs Village Saving and Loans Associations WFP World Food Program WHO World Health Organization WV World Vision 2 Project Location Map Map Showing TPO-Uganda UN WOMEN Trauma Care & SGBV Project Implemented in Lamwo, Adjumani and Obongi Districts. Source: Operational Presence Uganda Refugee Response Plan (RRP) 2019-2020 3 Table of Contents Acronyms ......................................................................................................... -
Minority Rights Group International, Maragoli Community Association
JOINT SUBMISSION TO THE OFFICE OF THE HIGH COMMISSIONER FOR HUMAN RIGHTS ON THE OCCASION OF UGANDA’S 3RD CYCLE UNIVERSAL PERIODIC REVIEW, 40TH SESSION, JANUARY-FEBRUARY 2022 Submission by Minority and Indigenous Groups Report on Health and Education, July 2021 Joint Submission by: Minority Rights Group International, Maragoli Community Association, Benet Lobby Group, North Karamoja Indigenous Minority Group Platform, African International Christian Ministries, United Organization for Batwa Development in Uganda, Action for Batwa Empowerment Group, Eliana R’s and Jamp Banyabindi Foundation, Buliisa District Union of persons with Disabilities, Tapac Integrated Development Organization, Mount Elgon Benet Ogiek Group Organization. 1 CO-SUBMITTING ORGANISATIONS Organization Address Organization Contact Person Maragoli P.O Box 34 Kigumba, Mwale Paul Community Kiryandongo District. 0777 313 677 Association [email protected] (MCA) Maragoli Community Association (MCA) is a non-governmental organization Founded in 1998 and registered as a CBO in 2016. MCA was Formed to Fight For recognition oF the Maragoli as one oF the indigenous communities in Uganda. In addition to citizenship recognition, MCA works towards ensuring that Maragoli community members enjoy Full rights to social services such as health and education and other political rights like any other citizens oF Uganda. MCA currently operates in the districts oF Kiryandongo, Masindi, Hoima, Bugiri and Iganga. African [email protected] Nabimanya Precious Arinda International www.aicmuganda.org 0773 300 302 Christian www.aicm.org.uk Ministries (AICM) P.O. Box: 459 Kampala , Uganda African International Christian Ministry (AICM) is a non-governmental, non-denominational, nonpartisan and a non-proFit making organization which was Founded in 1983. -
A Super-Efficiency Data Envelope Analysis Model Bruno Yawe
Hospital Performance Evaluation in Uganda: A Super-Efficiency Data Envelope Analysis Model Bruno Yawe Makerere University Standard Data Envelope Analysis models result in a large fraction of the observations becoming 100 percent efficient. The article measures the technical efficiency of 25 district referral hospitals from three regions of Uganda over the 1999-2003 period. It applies a super-efficiency Data Envelopment Analysis model. The application of a super-efficiency model was occasioned by the failure of standard data envelopment analysis models to rank the efficient set of hospitals which attain an efficiency score of unity. The results of the standard data envelopment analysis models indicate the existence of different degrees of technical and scale inefficiency in Uganda’s district referral hospitals. With the super-efficiency model, a ranking of the efficient units is possible. When super- efficiency models are executed, hospitals can be ranked and categorised into four groups: strongly super-efficient; super-efficient; efficient and inefficient. 1. Introduction 1 Since the early 1980s, Data Envelopment Analysis (DEA) has been used as an alternative method of classification to evaluate the relative efficiency of independent homogenous units which use the same inputs to produce the same outputs (Cooper, Seiford and Tone, 2000). However, a serious inconvenience in the utilisation of DEA as a method of classification is the possibility of having units tied with relative efficiency equal to 100 percent. That is, units at the frontier of relative efficiency. Various authors have tackled this inconvenience using various devices to break the tie, such as crossed evaluation (Green et al., 1996), super- efficiency (Anderson and Peterson, 1993) or assurance regions (Cooper et al., 2000), among others. -
Uganda 1 – 30 November 2020
OPERATIONAL UPDATE Uganda 1 – 30 November 2020 There were no new arrivals during the COVID-19 UPDATE The cumulative number includes 8,989 month of December 2020. However, the Cumulatively, as of 30 November 2020, recoveries, 209 of whom were refugees humanitarian situation remains there were 20,459 confirmed cases of and 178 humanitarian workers. The unpredictable in South Sudan and the COVID-19, of whom, 255 are refugees cumulative number of reported deaths Democratic Republic of Congo (DRC). Some media and field reports indicate and 233 humanitarian workers. was 205, of whom, five are refugees. spontaneous movements across borders, however, these cannot be fully verified and accounted for. cannot be fully verified and accounted 0 UNHCR’S FINANCIAL REQUIREMENTS 2020: Number of new arrivals during November 2020, based on border USD 357.1M monitoring. UNHCR Funding (as of 30 November 2020) 1,415,946* Total refugees in Uganda as of 30 November 2020. 26,192 Total asylum-seekers in Uganda as of 30 November 2020. *Increase in number is due to registration backlog and new-borns. Unfunded 57% - 202.53 M Funded 43% - 154.54 M POPULATIONS OF CONCERN RefugEEs and Asylum-SeEkErs by Nationality South Sudan 887,832 DR Congo 420,324 Burundi 49,554 Others 84,428 UNHCR Representative visiting a group that produces soap in Rwamwanja TOTAL 1,442,138 refugee settlement. ©UNHCR/Juliet Nakiwala www.unhcr.org 1 OPERATIONAL UPDATE > UGANDA / 1 – 30 November 2020 Ms. Liesse Ombeni, from the Democratic Republic of Congo (DRC), making non-medical washable masks at her workshop in Kampala. -
In Uganda, but Full Equality with Men Remains a Distant Reality
For more information about the OECD Development Centre’s gender programme: [email protected] UGANDA www.genderindex.org SIGI COUNTRY REPORT Social Institutions & Gender Index UGANDA SIGI COUNTRY REPORT UGANDA SIGI COUNTRY Uganda SIGI Country Report The opinions expressed and arguments employed in this document are the sole property of the authors and do not necessarily reflect those of the OECD, its Development Centre or of their member countries. This document and any map included herein are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. © OECD 2015 UGANDA SIGI COUNTRY REPORT © OECD 2015 FOREWORD – 3 Foreword Uganda’s economic and political stability over the past two decades has brought unprecedented opportunities to address social inequalities and improve the well-being of citizens. Investments in key human development areas have reaped benefits in poverty reduction, and seen some improvements on a range of socio-economic indicators: but is everyone benefiting? Ugandan women and girls have partially benefited from these trends. New laws and measures to protect and promote women’s economic, political and human rights have been accompanied by impressive reductions in gender gaps in primary and secondary education and greater female political participation. Yet, wide gender gaps and inequalities remain, including in control of assets, employment and health. Economic development may have improved the status quo of women in Uganda, but full equality with men remains a distant reality. Tackling the discriminatory social norms that drive such gender inequalities and ensuring that women can equally benefit from Uganda’s development were twin objectives of this first in-depth country study of the OECD Social Institutions and Gender Index (SIGI). -
60Fd5fd200e081c439b83d85540
Journal of Blood Medicine Dovepress open access to scientific and medical research Open Access Full Text Article ORIGINAL RESEARCH Prevalence, Morphological Classification, And Factors Associated With Anemia Among Pregnant Women Accessing Antenatal Clinic At Itojo Hospital, South Western Uganda This article was published in the following Dove Press journal: Journal of Blood Medicine Claire Catherine Okia1 Purpose: The study aimed to determine the prevalence, morphological classification, and Boaz Aine1 risk factors of anemia among pregnant mothers attending antenatal clinic at Itojo hospital, Ronald Kiiza1 Ntungamo district, southwestern Uganda. Patrick Omuba1 Patients and methods: After obtaining an informed consent, 5mL of blood was collected fi Robert Wagubi1 from the vein of each participant for complete blood count (CBC) and peripheral lm report. The CBC was performed using HumaCount 80 hematology analyzer (HUMAN Gesellschaft Enoch Muwanguzi1 1 für Biochemica und Diagnostica mbH Max-Planck-Ring 21 65,205 Wiesbaden Germany). Richard Onyuthi Apecu ’ 1 Peripheral blood smears were made and stained using Wright s Romanowsky stain and Benson Okongo examined under ×1000 magnification for morphological classification of anemia. Structured 2 Caesar Oyet questionnaires were administered to each participant to collect information on patients’ 1Department of Medical Laboratory demography and risk factors of anaemia in pregnancy. The data generated were prepared in Science, Faculty of Medicine, Mbarara EXCEL and later transferred to SPSS version 20 for analysis. Univariate logistic regression University of Science and Technology, Mbarara, Uganda; 2Department of and multivariate logistic regression were used to evaluate the association of socio-demo- Clinical Chemistry, School of Medical graphic characteristics of the participants with anemia.