The K Nya Gazette|
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Detecting Forest Degradation in Marakwet District, Kenya, Using Remote Sensing and GIS
Seminar series nr 200 Detecting forest degradation in Marakwet district, Kenya, using remote sensing and GIS – in cooperation with SCC-Vi Agroforestry A Minor Field Study Naemi Gunlycke and Anja Tuomaala 201 1 Geobiosphere Science Centre Physical Geography and Ecosystems Analysis Lund University Sölvegatan 12 S-223 62 Lund Sweden Detecting forest degradation in Marakwet district, Kenya, using remote sensing and GIS – in cooperation with SCC-Vi Agroforestry A Minor Field Study Naemi Gunlycke and Anja Tuomaala 2011 Master’s Degree in Physical Geography and Ecosystem Analysis Supervisors Jonas Åkerman Department of Earth and Ecosystem Sciences Lund University Karin Larsson Department of Earth and Ecosystem Sciences Lund University Ola Hall Centre of Geographical Information Systems Lund University Abstract Deforestation is a widespread problem and has many negative impacts. The biggest threat to forest is human activities. Despite increasing efforts regarding forest management and forest conservation, the deforestation continues at a high rate to give space for other land uses such as agriculture and pasture. The world’s population continues to grow and Africa is the continent with fastest growing population. During the last 100 years this has led to major changes in the African landscape, and Kenya is no exception. This MFS (Minor Field Study) was conducted in cooperation with the nongovernmental organization SCC-Vi Agroforestry. The study area is located in Marakwet district in western Kenya and the district has one of the largest remaining natural forests in the country. At the same time, the area is experiencing ongoing illegal deforestation. The aim of the study was to investigate and map the deforestation in the study area during the 23 years period from 1986 to 2009 by using satellite data. -
Land Settlement Schemes in Nyandarua District of Kenya, with Particular Reference to Oljoro-Orok Division, 1960-1991 Martha Wangari Gikenye
Land settlement schemes in Nyandarua district of Kenya, with particular reference to Oljoro-orok division, 1960-1991 Martha Wangari Gikenye To cite this version: Martha Wangari Gikenye. Land settlement schemes in Nyandarua district of Kenya, with particular reference to Oljoro-orok division, 1960-1991. History. 1992. dumas-01312977 HAL Id: dumas-01312977 https://dumas.ccsd.cnrs.fr/dumas-01312977 Submitted on 9 May 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. LAND SETTLEMENT SCHEMES IN NYANDARUA DISTRICT OF KENYA, WITH PARTICULAR REFERENCE TO OL-JORO OROK DIVISION, 1960 - 1991. by Martha Wangari Gikenye THIS THESIS IS SUBMITTED IN PARTIAL FULFILMENT FOR THE AWARD OF THE DEGREE OF MASTER OF ARTS IN HISTORY, UNIVERSITY OF NAIROBI. 1992 IFRA / ft . FRAJ6797 Lt/i4 T3460k Declaration THIS THESIS IS MY ORIGINAL WORK AND HAS NOT BEEN PRESENTED IN ANY OTHER UNIVERSITY FOR A DEGREE. 6-Mr4l~-------------- Martha Wangari Gikenye THIS THESIS HAS BEEN PRESENTED FOR EXAMINATION WITH MY APPROVAL AS UNIVERSITY SUPERVISOR. SIGNATURE Dr. David Sperling TABLE OF CONTENTS Tableof Contents ..................... I Dedication . ... .....................V Acknowledgements • Abstract ....................... Vii CRAPTERONE ....................... 1 Introduction...................... 1 1.0 Subject and area of study ............. -
In Kenya —Background Paper
A Collaborative Research Project Funded by: Implemented by: An Overview of the Poultry Sector and Status of Highly Pathogenic Avian Influenza (HPAI) in Kenya —Background Paper John M. Omiti Sam O. Okuthe Africa/Indonesia Region Report No. 4 Pro‐Poor HPAI Risk Reduction Table of Contents Page PREFACE ........................................................................................................................................ VI ACRONYMS AND ABBREVIATIONS ............................................................................................... VIII EXECUTIVE SUMMARY ..................................................................................................................... X 1. INTRODUCTION ...................................................................................................................... 1 1.1 Motivation ................................................................................................................................ 1 1.2 Significance and scope ............................................................................................................ 1 1.3 Summary of key findings ......................................................................................................... 1 1.4 Road map ................................................................................................................................ 2 2. VITAL COUNTRY STATISTICS .................................................................................................... 3 2.1 Size and location -
Community Perceptions and Response to Flood Risks in Nyando District, Western Kenya
Community perceptions and response to flood risks in Nyando District, Western Kenya Hellen Nyakundi Liaison O#cer, Food Link Nairobi, Kenya [email protected] Stephen Mogere Development Evaluation Expert Nairobi, Kenya [email protected] Isaac Mwanzo Kenyatta University Nairobi, Kenya [email protected] Andre Yitambe Department of Public Health, Kenyatta University Nairobi, Kenya [email protected] ABSTRACT In Kenya, the ability of local people to resist the impact of disasters has not been given adequate attention. A descriptive cross sectional study sought to investigate community perceptions and responses to $ood risks in low and high risk areas of the Nyando District, Western Kenya. A total of 528 households, six government o#cials and %ve project managers of Community Based Organizations (CBOs) and Non Governmental Organizations (NGOs) were interviewed. Additionally, seven Focus Group Discussions (FGDs) involving three women, two male and two teacher groups were conducted. Data were analysed using the Statistical Package for the Social Sciences (SPSS) Program. &e Chi-square test was used to de- termine associations and di'erences between variables. In the study, 83% of the respondents were aware of Traditional Flood Knowledge (TFK) and 80% acknowledged its use. Perception of the risk is in$uenced by several variables, most notably past experience of major $oods and having survived them. Residents in the high risk areas had signi%cantly higher levels of awareness and use of traditional $ood knowledge. &ey were more aware of the nature of the $ood related health risks they were exposed to and appeared better prepared for future $ood risk. -
12146361 02.Pdf
Proposed Development Plans Water Supply Development Plan Urban Water Supply Development (32 Urban Centers) 1) Rehabilitation (30 UC) 699,000 m3/day 2) Expansion (29 UC) 1,542,000 m3/day 3) New Construction (2 UC) 19,000 m3/day 4) Service Population 17.01 million Rural Water Supply (10 Counties) 1) Large Scale 209,000 m3/day 2) Small Scale 110,000 m3/day 3) Target Population 4.04 million Sanitation Development Plan Sewerage Development (25 Urban Centers) 1) Rehabilitation (6 UC) 244,000 m3/day 2) Expansion (6 UC) 715,000 m3/day 3) New Construction (19 UC) 430,000 m3/day 4) Service Population 16.26 million On-site Sanitation (10 Counties) 1) Installation of Proper On-site Sanitation Facilities by Individual or Communities 2) Target Population 4.28 million Irrigation Development Plan Large Scale Irrigation Area 1) Large Scale Irrigation 37,280 ha (4 Projects) MA -MA F - 33 2) Small Scale Irrigation 6,484 ha (10 Counties) 3) Private Sector Irrigation 2,344 ha (10 Counties) P Hydropower Development Plan 1) Munyu Multipurpose Dam Project 40MW 2) Thwake Multipurpose Dam Project 20MW Water Resources Development Plan 1) Storage Dams 16 nos. (1,689 MCM) 2) Small Storage Dams and 1,880 nos. Pans (94 MCM) 3) Boreholes 350 nos. (35 MCM/year) 4) Inter-basin Transfer 168 MCM/year (from Tana CA to Nairobi, Ext.) 5) Intra-basin Transfer 37 MCM/year (from Mzima Spring to Mombasa/Kwale/Ukunda, Ext.) 6) Intra-basin Transfer 31 MCM/year (from Athi R. to Mombasa/ Malindi/Kilifi/Mtwapa, Ext.) 7) Desalination for Mombasa 93 MCM/year LEGEND Dam(Existing) Water -
Baseline Review and Ecosystem Services Assessment of the Tana River Basin, Kenya
IWMI Working Paper Baseline Review and Ecosystem Services Assessment of the Tana 165 River Basin, Kenya Tracy Baker, Jeremiah Kiptala, Lydia Olaka, Naomi Oates, Asghar Hussain and Matthew McCartney Working Papers The publications in this series record the work and thinking of IWMI researchers, and knowledge that the Institute’s scientific management feels is worthy of documenting. This series will ensure that scientific data and other information gathered or prepared as a part of the research work of the Institute are recorded and referenced. Working Papers could include project reports, case studies, conference or workshop proceedings, discussion papers or reports on progress of research, country-specific research reports, monographs, etc. Working Papers may be copublished, by IWMI and partner organizations. Although most of the reports are published by IWMI staff and their collaborators, we welcome contributions from others. Each report is reviewed internally by IWMI staff. The reports are published and distributed both in hard copy and electronically (www.iwmi.org) and where possible all data and analyses will be available as separate downloadable files. Reports may be copied freely and cited with due acknowledgment. About IWMI IWMI’s mission is to provide evidence-based solutions to sustainably manage water and land resources for food security, people’s livelihoods and the environment. IWMI works in partnership with governments, civil society and the private sector to develop scalable agricultural water management solutions that have -
Flash Update
Flash Update Kenya Floods Response Update – 29 June 2018 Humanitarian Situation and Needs Kenya Country Office An estimated 64,045 flood-affected people are still in camps in Galole, Tana Delta and Tana North Sub counties in Tana River County. A comprehensive assessment of the population still displaced in Tana River will be completed next week. Across the country, the heavy long rains season from March to May has displaced a total of 291,171 people. Rainfall continues in the Highlands west of the Rift Valley (Kitale, Kericho, Nandi, Eldoret, Kakamega), the Lake Basin (Kisumu, Kisii, Busia), parts of Central Rift Valley (Nakuru, Nyahururu), the border areas of Northwestern Kenya (Lokichoggio, Lokitaung), and the Coastal strip (Mombasa, Mtwapa, Malindi, Msabaha, Kilifi, Lamu). Humanitarian access by road is constrained due to insecurity along the Turkana-West Pokot border and due to poor roads conditions in Isiolo, Samburu, Makueni, Tana River, Kitui, and Garissa. As of 25 June 2018, a total of 5,470 cases of cholera with 78 deaths have been reported (Case Fatality Rate of 1.4 per cent). Currently, the outbreak is active in eight counties (Garissa, Tana River, Turkana, West Pokot, Meru, Mombasa, Kilifi and Isiolo counties) with 75 cases reported in the week ending 25 June. A total of 111 cases of Rift Valley Fever (RVF) have been reported with 14 death in three counties (Wajir 75, Marsabit 35 and Siaya 1). Case Fatality Rate is reported at 8 per cent in Wajir and 20 per cent in Marsabit. Active case finding, sample testing, ban of slaughter, quarantine, and community sensitization activities are ongoing. -
9Th October, 2015 LEGAL NOTICE No. 208 THE
9th October, 2015 LEGAL NOTICE No. 208 THE NATIONAL HOSPITAL INSURANCE FUND ACT (No.9 of 1998) APPROVAL OF REBATES IN EXERCISE of the powers conferred by section 27 of the National Hospital Insurance Fund Act, 1998, the National Hospital Insurance Fund Board of Management, in consultation with the Cabinet Secretary for Health has approved the rebates for the following Hospitals for purposes of the Act- Facility Postal Location Contract Options/Rebate In Kshs Address P. O. Box A B C Adu Dispensary 4, Malindi Adu Township Opposite 1,100 - - Chief’s Office A.I.C. Malanga 230, Malindi Along Langobaya Kilifi - 1,300 - Dispensary Road 7km Next to Malanga AIC- Baricho Dispensary 4, Malindi Near Malindi Town, 1,100 - - Baricho Sub-Location Boalala Model Health 4, Malindi Malindi 1,200 - - Centre Bomani Malde 9, Kilifi Near Bomani Shopping 1,100 - - Dispensary Centre and Chiefs Office Chakama Dispensary 4, Malindi Along Malindi – Tsavo 1,100 - - Road Next to Chakama Chiefs Office Cheborgei Health Centre 44, Litein Cheborgei Town 1,000 - - Chemosot Health Centre 398, Litein Chemosot Town 1,000 - - Crystal Cottage Hospital 1320-30200 Near Kitale Town Tuwani - 1,600 - and Medical Clinic Sub-Location Dagamra Dispensary 4, Malindi Marikebuni-Barichon 1,000 - - Road Next to Bate Chiefs Office Dida Dispensary 9, Kilifi Along Kilifi Matano 1,100 - - Manne Vitengeni Road Near Dida Primary School Dungicha Dispensary 9, Kilifi Near Dungicha Sub 1,000 - - Chiefs Office Dzikunze Dispensary 9, Kilifi Vitengani Shopping 1,100 - - Centre Entasopia Health Centre -
A Collection of 100 Tachoni Proverbs and Wise Sayings
A COLLECTION OF 100 TACHONI PROVERBS AND WISE SAYINGS By ANNASTASI OISEBE African Proverbs Working Group NAIROBI, KENYA AUGUST, 2017. ACKNOWLEDGEMENT I wish to acknowledge and thank the relentless effort for all those who played a major part in completion of this document. My utmost thanks go to Fr. Joseph G. Healey, both financial and moral support. My special thanks goes to CephasAgbemenu, Margaret Ireri and Elias Bushiri who guided me accordingly to ensure that my research was completed. Furthermore I also want to thank Edwin Kola for his enormous assistance, without forgetting publishers of Tachoni proverbs and resources who made this research possible. DEDICATION I dedicate this work to my parents Anthony and Margret Oisebe and the entire African Proverbs working group Nairobi and all readers of African literature. INTRODUCTION Location The Tachoni (We shall be back in Kalenjin) are Kalenjins assimilated by Luhya people of Western Kenya, sharing land with the Bukusu tribe. They live mainly in Webuye, Chetambe Hills, Ndivisi (of Bungoma County) and the former Lugari District in the Kakamega County. Most Tachoni clans living in Bungoma speak the 'Lubukusu' dialect of the Luhya language making them get mistaken as Bukusus. They spread to Trans-Nzoia County especially around Kitale, Mumias and Busia. The ethnic group is rich in beliefs and taboos. The most elaborate cultural practice they have is circumcision. The ethnographical location of the Tachoni ethnic group in Kenya Myth of Origin One of the most common myths among the Luhya group relates to the origin of the Earth and human beings. According to this myth, Were (God) first created Heaven, then Earth. -
Implementation Status of Kenya's Language in Education Policy
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 Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol.4, No.23, 2013 Implementation Status of Kenya’s Language in Education Policy: A Case Study of Selected Primary Schools in Chuka Division, Meru South District, Kenya Nancy Wangui Mbaka * Christine Atieno Peter Mary Karuri Chuka University, P .O. Box 109-60400, Chuka, Kenya. *E-mail of the corresponding author: [email protected] Abstract Language-in-education policies in many developing countries are constantly an issue of discussion in scholarly circles. This paper looks at the language-in- education policy in lower primary in Chuka Division, Meru-South District, Kenya. The paper evaluates the teachers’ awareness of the language policy and actual implementation in the classroom. It also analyses the problems that teachers experience in implementing the policy and gives the teacher’s recommendations in case the language policy were to be restructured. The paper establishes that teachers are aware of the policy but they do not always implement it in the classroom. The findings in this paper are of great benefit to all stakeholders in the ministry of education in Kenya and contribute to scholarly literature in the area of language planning and policy. Keywords: Language-in-Education Policy (LiEP), Policy Implementation, Language of Instruction (LOI), mother tongue (MT) 1. Introduction The important role that language plays in the acts of learning and teaching is recognized by education systems all over the world. -
Front Section-Pgs I-1.Indd
In Chapter 8 LIST OF MAPS AUTHORS AND CONTRIBUTORS Map 8.1 Upper Tana: Landforms and Rivers Norbert Henninger (WRI) CONTENTS Map 8.2 Upper Tana: Population Density, 1999 Dan Tunstall (WRI) Map 8.3 Upper Tana: Poverty Rate, 1999 Karen Holmes (consultant) u Landscapes, People, and Poverty .... 109 Map 8.4 Upper Tana: Poverty Density, 1999 Greg Mock (consultant) Landforms 110 Map 8.5 Upper Tana: Household Reliance on Ecosystems for Drinking Water Janet Nackoney (WRI) Map 8.6 Upper Tana: High Share of Piped Drinking Water and Poverty Rate Florence Landsberg (WRI) Population, Road Network, and Map 8.7 Upper Tana: Irrigation Efforts and Other Water Uses Mohammed Said (ILRI) Administrative Units 111 Map 8.8 Upper Tana: Small-Scale Irrigation Efforts and Poverty Rate Hyacinth Billings (WRI) Spatial Patterns of Poverty 112 Map 8.9 Upper Tana: Small-Scale Irrigation Efforts and High Share of Piped Stephen Adam (WRI) Drinking Water Carolina de Rosas (WRI) u Water-Related Ecosystem Services .. 113 Map 8.10 Upper Tana: Food Crops as Percentage of All Cropland Indicators Examined 113 Map 8.11 Upper Tana: High Share of Food Crops and Poverty Rate Map 8.12 Upper Tana: Milk Production Drinking Water Use and Poverty 114 Map 8.13 Upper Tana: High Milk Production and Poverty Rate Irrigation Efforts, Other Water Uses, Map 8.14 Upper Tana: High Share of Food Crops and High Milk Production and Poverty 116 Map 8.15 Upper Tana: Average Number of Crops Grown in Cropland Map 8.16 Upper Tana: High Average Number of Crops Grown in Cropland and High Share of Piped Drinking Water and Poverty Rate Small-Scale Irrigation Efforts 118 Map 8.17 Upper Tana: Share of Woodlots in Cropland Map 8.18 Upper Tana: High Share of Woodlots in Cropland and Poverty Rate u Food-Related Ecosystem Services . -
Kitui County
A: Population Projections by Special Groups by- Sub-County and by Sex, 2017 Number Children Household Leadership by Subcounty and Sex KITUI COUNTY GENDER DATA SHEET County, Sub - 3 - 5 years 6 -17 years 200 186 county/Age group 177 Total Male Female Total Male Female 171 180 163 154 INTRODUCTION 160 148 Total County 113,972 58,051 55,922 405,482 206,091 199,391 142 139 141 Kitui County covers an area of 30,515 Km2. It borders Machakos and Makueni counties 140 128 128 Mwingi North 17,880 8,949 8,930 56,681 28,533 28,146 118 120 121 to the west, Tana River County to the east, TaitaTaveta to the south, Embu and 120 106 COUNCIL OF GOVERNORS Mwingi West 11,290 5,798 5,493 43,976 22,414 21,562 TharakaNithi counties to the north. It is located between latitudes 0°10 South and 3°0 100 87 South and longitudes 37°50 East and 39°0 East. Mwingi Central 16,754 8,565 8,189 55,171 28,150 27,022 Number 80 Kitui West 10,245 5,173 5,071 42,139 21,378 20,761 60 A: POPULATION/HOUSEHOLDS 40 Kitui Rural 11,049 5,688 5,361 42,983 21,935 21,049 20 - COUNTY GOVERNMENT OF KITUI Kitui Central 12,449 6,381 6,068 48,897 24,623 24,271 A1: Population Projections by sex, 2014-2020 Mwingi Mwingi Mwingi Kitui Kitui Kitui Kitui Kitui Kitui East 14,573 7,280 7,292 48,019 24,555 23,466 Number North West Central West Rural Central East South 2014 2015 2016 2017 2018 2020 Kitui South 19,733 10,216 9,517 67,615 34,503 33,113 COUNTY GENDER DATA SHEET Boys Girls Total 1,075,866 1,086,599 1,097,687 1,108,981 1,120,394 1,141,592 Source: Kenya Population and Housing Census 2009