Ghana Journal of Development Studies, Volume 7, Number 2 2010
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Upper East Region
REGIONAL ANALYTICAL REPORT UPPER EAST REGION Ghana Statistical Service June, 2013 Copyright © 2013 Ghana Statistical Service Prepared by: ZMK Batse Festus Manu John K. Anarfi Edited by: Samuel K. Gaisie Chief Editor: Tom K.B. Kumekpor ii PREFACE AND ACKNOWLEDGEMENT There cannot be any meaningful developmental activity without taking into account the characteristics of the population for whom the activity is targeted. The size of the population and its spatial distribution, growth and change over time, and socio-economic characteristics are all important in development planning. The Kilimanjaro Programme of Action on Population adopted by African countries in 1984 stressed the need for population to be considered as a key factor in the formulation of development strategies and plans. A population census is the most important source of data on the population in a country. It provides information on the size, composition, growth and distribution of the population at the national and sub-national levels. Data from the 2010 Population and Housing Census (PHC) will serve as reference for equitable distribution of resources, government services and the allocation of government funds among various regions and districts for education, health and other social services. The Ghana Statistical Service (GSS) is delighted to provide data users with an analytical report on the 2010 PHC at the regional level to facilitate planning and decision-making. This follows the publication of the National Analytical Report in May, 2013 which contained information on the 2010 PHC at the national level with regional comparisons. Conclusions and recommendations from these reports are expected to serve as a basis for improving the quality of life of Ghanaians through evidence-based policy formulation, planning, monitoring and evaluation of developmental goals and intervention programs. -
Preventing Illegal Gold Mining by Supporting Self Reliance
Preventing Illegal Gold Mining by Supporting Self Reliance Vocational Training in Upper East Region Talensi and Nabdam Districts, to develop trade skills and reduce illegal mining. TRAX, Ghana www.tfsr.org Preventing Illegal Gold Mining by Supporting Self Reliance Vocational Training in Upper East Region Talensi and Nabdam Districts, to develop trade skills and reduce illegal mining. Delivered by TRAX, Ghana This project aimed to reduce the number of young adults engaging in galamsey (illegal gold mining) by providing reliable and sustainable livelihood opportunities as an alternative way to earn an income. The presence of gold deposits discovered in the targeted communities has attracted a high number of unemployed young people, particularly those with a low level of formal education, into illegal small-scale gold-mining, locally referred to as galamsey. Due to the lack of opportunities, many young people turn to galamsey as a source of income. It is a high risk activity which causes environmental degradation, and social disruption. The project was located During this project, 22 young adults were trained in a trade in Bolgatanga, Ghana skill and equipped and supported to establish a small business and/or enter in to formal, safer employment. Each participant was attached to a master craftsperson and are supported to in turn train an additional two people upon completion of their training course. Project duration December 2017—December 2018 Project evaluation July 2019 Beneficiaries received training in either bicycle repairs, motorbike repairs, shoe repairs, tailoring, masonry or welding and fabrication. Their twelve-month programme also included literacy and numeracy, and an intensive life skills and functional business management programme. -
HIV Vulnerability Among Fsws Along Tema Paga Transport Corridor
HIV and Population Mobility BEHAVIOURAL STUDY REPORT HIV VULNERABILITY AMONG FEMALE SEX WORKERS ALONG GHANA’S TEMA-PAGA TRANSPORT CORRIDOR 1 ACKNOWLEDGEMENT The primary data for this study on HIV vulnerability among female sex workers along Ghana’s Tema‐ Paga transport corridor was successfully collected during November and December 2011. The efforts of a number of individuals who were involved in the study are hereby acknowledged. We are grateful to UNAIDS for funding this study through the UNAIDS Supplemental Programme Acceleration Fund (PAF) for support to country level action to implement the agenda for accelerated country action for women, girls and gender equality and AIDS. We are particularly thankful to Dr. Léopold Zekeng, UNAIDS Country Coordinator, Ghana and Jane Okrah for their active support and involvement in the project. We would like to acknowledge the support of the Ghana AIDS Commission, the West African Program to Combat AIDS and STI Ghana (WAPCAS) and Management Strategies for Africa (MSA) for their involvement at all stages of this study. We thank all the experts who participated in a series of consultations that were organized to prepare research tools; undertook training of the interview teams; planned data analysis; prepared sampling method and sample size calculation; prepared questionnaires and the tabulation plan for the report. We are grateful to the research consultant Mr. Abraham Nyako Jr. and his team. We are also grateful to Mr. Anthony Amuzu Pharin of the Ghana Statistical Services (GSS) for his support in the statistical aspect of the study as well as generation of the statistical tables. We are very thankful to Mrs. -
Ghana Poverty Mapping Report
ii Copyright © 2015 Ghana Statistical Service iii PREFACE AND ACKNOWLEDGEMENT The Ghana Statistical Service wishes to acknowledge the contribution of the Government of Ghana, the UK Department for International Development (UK-DFID) and the World Bank through the provision of both technical and financial support towards the successful implementation of the Poverty Mapping Project using the Small Area Estimation Method. The Service also acknowledges the invaluable contributions of Dhiraj Sharma, Vasco Molini and Nobuo Yoshida (all consultants from the World Bank), Baah Wadieh, Anthony Amuzu, Sylvester Gyamfi, Abena Osei-Akoto, Jacqueline Anum, Samilia Mintah, Yaw Misefa, Appiah Kusi-Boateng, Anthony Krakah, Rosalind Quartey, Francis Bright Mensah, Omar Seidu, Ernest Enyan, Augusta Okantey and Hanna Frempong Konadu, all of the Statistical Service who worked tirelessly with the consultants to produce this report under the overall guidance and supervision of Dr. Philomena Nyarko, the Government Statistician. Dr. Philomena Nyarko Government Statistician iv TABLE OF CONTENTS PREFACE AND ACKNOWLEDGEMENT ............................................................................. iv LIST OF TABLES ....................................................................................................................... vi LIST OF FIGURES .................................................................................................................... vii EXECUTIVE SUMMARY ........................................................................................................ -
Spatio-Temporal Analyses of Impacts of Multiple Climatic Hazards in a Savannah Ecosystem of Ghana ⇑ Gerald A.B
Climate Risk Management xxx (2016) xxx–xxx Contents lists available at ScienceDirect Climate Risk Management journal homepage: www.elsevier.com/locate/crm Spatio-temporal analyses of impacts of multiple climatic hazards in a savannah ecosystem of Ghana ⇑ Gerald A.B. Yiran PhD Senior Lecturer a, , Lindsay C. Stringer PhD Professor b a Department of Geography and Resource Development, University of Ghana, Legon, Ghana b Sustainability Research Institute, School of Earth and Environment, University of Leeds, UK article info abstract Article history: Ghana’s savannah ecosystem has been subjected to a number of climatic hazards of varying Received 25 January 2016 severity. This paper presents a spatial, time-series analysis of the impacts of multiple haz- Revised 20 June 2016 ards on the ecosystem and human livelihoods over the period 1983–2012, using the Upper Accepted 7 September 2016 East Region of Ghana as a case study. Our aim is to understand the nature of hazards (their Available online xxxx frequency, magnitude and duration) and how they cumulatively affect humans. Primary data were collected using questionnaires, focus group discussions, in-depth interviews and personal observations. Secondary data were collected from documents and reports. Calculations of the standard precipitation index (SPI) and crop failure index used rainfall data from 4 weather stations (Manga, Binduri, Vea and Navrongo) and crop yield data of 5 major crops (maize, sorghum, millet, rice and groundnuts) respectively. Temperature and windstorms were analysed from the observed weather data. We found that tempera- tures were consistently high and increasing. From the SPI, drought frequency varied spa- tially from 9 at Binduri to 13 occurrences at Vea; dry spells occurred at least twice every year and floods occurred about 6 times on average, with slight spatial variations, during 1988–2012, a period with consistent data from all stations. -
Kassena-Nankana West District Is One of the Districts in the Upper East Region of Ghana
q\ A REPUBLIC OF GHANA THE COMPOSITE BUDGET OF THE KASSENA NANKANA WEST DISTRICT ASSEMBLY FOR THE 2015 FISCAL YEAR 1 Page For Copies of this MMDA’s Composite Budget, please contact the address below: The Coordinating Director, Kassena Nankana West District Assembly P O Box 1 Paga, Upper East Region This 2015 Composite Budget is also available on the internet at: www.mofep.gov.gh or www.ghanadistricts.com 2 Page SECTION I: ASSEMBLY’S COMPOSITE BUDGET STATEMENT 3 Page Table of Content SECTION I: ASSEMBLY’S COMPOSITE BUDGET STATEMENT INTRODUCTION .......................................................................................................................... 7 Population ....................................................................................................................................... 7 DISTRICT ECONOMY ................................................................................................................. 7 Road ................................................................................................................................................ 7 Energy ............................................................................................................................................. 7 Agriculture ...................................................................................................................................... 8 Agro Industry/Processing................................................................................................................ 8 Tourism .......................................................................................................................................... -
Bawku West District
BAWKU WEST DISTRICT Copyright © 2014 Ghana Statistical Service ii PREFACE AND ACKNOWLEDGEMENT No meaningful developmental activity can be undertaken without taking into account the characteristics of the population for whom the activity is targeted. The size of the population and its spatial distribution, growth and change over time, in addition to its socio-economic characteristics are all important in development planning. A population census is the most important source of data on the size, composition, growth and distribution of a country’s population at the national and sub-national levels. Data from the 2010 Population and Housing Census (PHC) will serve as reference for equitable distribution of national resources and government services, including the allocation of government funds among various regions, districts and other sub-national populations to education, health and other social services. The Ghana Statistical Service (GSS) is delighted to provide data users, especially the Metropolitan, Municipal and District Assemblies, with district-level analytical reports based on the 2010 PHC data to facilitate their planning and decision-making. The District Analytical Report for the Bawku West district is one of the 216 district census reports aimed at making data available to planners and decision makers at the district level. In addition to presenting the district profile, the report discusses the social and economic dimensions of demographic variables and their implications for policy formulation, planning and interventions. The conclusions and recommendations drawn from the district report are expected to serve as a basis for improving the quality of life of Ghanaians through evidence- based decision-making, monitoring and evaluation of developmental goals and intervention programmes. -
Document of the International Fund for Agricultural Development Republic
Document of the International Fund for Agricultural Development Republic of Ghana Upper East Region Land Conservation and Smallholder Rehabilitation Project (LACOSREP) – Phase II Interim Evaluation May 2006 Report No. 1757-GH Photo on cover page: Republic of Ghana Members of a Functional Literacy Group at Katia (Upper East Region) IFAD Photo by: R. Blench, OE Consultant Republic of Ghana Upper East Region Land Conservation and Smallholder Rehabilitation Project (LACOSREP) – Phase II, Loan No. 503-GH Interim Evaluation Table of Contents Currency and Exchange Rates iii Abbreviations and Acronyms iii Map v Agreement at Completion Point vii Executive Summary xv I. INTRODUCTION 1 A. Background of Evaluation 1 B. Approach and Methodology 4 II. MAIN DESIGN FEATURES 4 A. Project Rationale and Strategy 4 B. Project Area and Target Group 5 C. Goals, Objectives and Components 6 D. Major Changes in Policy, Environmental and Institutional Context during 7 Implementation III. SUMMARY OF IMPLEMENTATION RESULTS 9 A. Promotion of Income-Generating Activities 9 B. Dams, Irrigation, Water and Roads 10 C. Agricultural Extension 10 D. Environment 12 IV. PERFORMANCE OF THE PROJECT 12 A. Relevance of Objectives 12 B. Effectiveness 12 C. Efficiency 14 V. RURAL POVERTY IMPACT 16 A. Impact on Physical and Financial Assets 16 B. Impact on Human Assets 18 C. Social Capital and Empowerment 19 D. Impact on Food Security 20 E. Environmental Impact 21 F. Impact on Institutions and Policies 22 G. Impacts on Gender 22 H. Sustainability 23 I. Innovation, Scaling up and Replicability 24 J. Overall Impact Assessment 25 VI. PERFORMANCE OF PARTNERS 25 A. -
Against Malaria Foundation LLIN Distribution Programme – Detailed Information
Against Malaria Foundation LLIN Distribution Programme – Detailed Information Summary # of LLINS Country Location When By whom ERD/NetsForLife/Anglican Upper East 8,000 Ghana May-Aug08 Diocesan Development Region Ghana and Relief Office (ADDRO) Further Information 1. Please describe the specific locations & villages to receive nets and the number to each? Please provide longitude/latitude information. (Important note: If the distribution is approved, approval will be for the nets to be distribution to these specific locations. Location changes will only be considered, and may be refused, if due to exceptional/unforeseen circumstances.) These villages are all in the Upper East Region of Ghana:- - Sapeliga in the Bawku West district: 1,500 LLINs - Kobore in the Bawku West District: 1,000 LLINs - Tomonde in the Bawku West District: 1,500 LLINs - Sakote in the Talensi/ Nabdam District: 1,000 LLINs - Pwaligu in the Talensi/ Nabdam District: 1,000 LLINs - Tamperi in the Garu/ Tempane District: 2,000 LLINs The latitude/longitude of these villages: 11 degrees 03 minutes north, 0 degrees 20 minutes west 2. Is this an urban or rural area and how many people live in this specific area? The beneficiaries communities are all rural. 3. Is this a high risk malaria area? If yes, why do you designate it as high? Malaria is the number one killer in the country. It is a leading cause of morbidity and mortality in Ghana. These villages are considered high risk for malaria because of the acute flooding they experienced recently. The poor sanitation situation has worsened, thus, it has created favorable conditions for breeding of mosquitoes. -
Logistics Capacity Assessment Ghana Country Name Ghana Official Name Ghana
LCA - Ghana Version 1.05 Logistics Capacity Assessment Ghana Country Name Ghana Official Name Ghana Assessment Assessment Dates: From To 11th February 2011 Name of Assessor Izzeldin Abdalla Title & Position Logistics Officer Email contact [email protected] 1/72 LCA - Ghana Version 1.05 Table of Contents………………………………………………………………… ……………….. 1. Country Profile ......................................................................................................................... 3 1.1. Introduction & Background ................................................................................................ 3 1.2. Humanitarian Background ................................................................................................ 4 1.3. National Regulatory Departments ..................................................................................... 7 1.4. Customs Information ......................................................................................................... 8 2. Logistics Infrastructure ........................................................................................................... 13 2.1. Port Assessment............................................................................................................. 13 2.2. Airport Assessment ......................................................................................................... 25 2.3. Road Assessment ........................................................................................................... 31 2.4. Railway Assessment -
Potential Impact of Large Scale Abstraction on the Quality Of
Land Degradation in the Sudan Savanna of Ghana: A Case Study in the Bawku Area J. K. Senayah1*, S. K. Kufogbe2 and C. D. Dedzoe1 1CSIR-Soil Research Institute, Kwadaso-Kumasi, Ghana 2Department of Geography and Resource Development, University of Ghana, Legon *Corresponding author Abstract The study was carried out in the Bawku area, which is located within the Sudan savanna zone. The study examined the physical environment, human factor and the interactions between them so as to establish the degree and extent of land degradation in the Bawku area. Six rural settlements around Bawku were studied with data on soils collected along transects. Socio-economic information was collected by interviewing key informants and through the administration of questionnaires. Land degradation in the area is the result of interaction between the physical and human environments. Physical environmental characteristics influencing land degradation include soil texture, topography and rainfall. The soils in the study area are developed over granite and Birrimian phyllite. In the granitic areas soil texture is an important factor, while in the Birrimian area, it is the steep nature of the terrain that induces erosion. The granitic soils are characteristically sandy and, as such, highly susceptible to erosion. Topsoil (10–30 cm) sand contents of three major soils developed over granite are over 80%. Severe erosion has reduced topsoil thickness by over 30% within a period of 24 years. Rainfall, though generally low (< 1000 mm), falls so intensely to break down soil aggregates thus accelerating erosion. Other observed indicators of land degradation include sealed and compacted topsoils, stones, gravel, concretions and iron pan. -
31. Bongo District Profile
BONGO Feed the Future Ghana District Profile Series - February 2017 - Issue 1 DISTRICT PROFILE CONTENT Bongo is one of the districts in Ghana’s Upper East Region. It has a total land area of 459.5 square kilome- 1. Cover Page ters and shares boundaries with Burkina Faso to the north, Kassena-Nankana East to the west, Bolgatanga 2. USAID Project Data Municipal to the south west and Nabdam District to 3-4. Agricultural Data south east. The district has a total population of 91,079 5. Health, Nutrition and Sanitation inhabitants, out of which 47,897 are females and 6. USAID Presence 43,182 males with an average household size of 6.2 persons. The boxes below contain relevant economic 7. Demographic and Weather Data indicators such as per capita expenditure and poverty 8. Discussion Questions prevalence for a better understanding of its develop- ment. Poverty Prevalence 32.3 % Daily per capita expenditure* 6.81 USD Households with moderate or severe hunger 56.9% Household Size 6.2 members* Poverty7 Depth 13% Total Population of the Poor 29,419 1 USAID PROJECT DATA This section contains data and information related to USAID sponsored interventions in Bongo Table 1: USAID Projects Info, Bongo, 2014-2016 The number of direct USAID beneficiaries* increased in Beneficiaries Data 2014 2015 2016 Direct Beneficiaries 637 1 7 8 78 2016 as compared to 2014 after a drop in numbers in Male 289 1 0 4 66 Female 339 7 4 12 Undefined 9 2015. However, the number is low compared to other Nucleus Farmers 1 0 n/a Male 1 districts.