Active Usg Humanitarian Programs in Kenya

Total Page：16

File Type：pdf, Size：1020Kb

ACTIVE USG HUMANITARIAN PROGRAMS IN KENYA Last Updated 09/30/18 SOUTH SUDAN Administrative KALOBEYEI COUNTRYWIDE Boundary Kenya Red Cross Society WFP ETHIOPIA UNICEF CVT Humanity & UNICEF Inclusion UNHAS JRS UNHCR LWF KALOBEYEI INFORMAL Lake Mandera SETTLEMENT Turkana MARSABIT KAKUMA Moyale Concern MANDERA REFUGEE MOYALE KAKUMA REFUGEE CAMP CAMP MANDERA Food for the Hungry Concern WFP TURKANA RACIDA CVT El Wak MARSABIT IRC TURKANA Humanity & SOMALIA Inclusion IRC Marsabit Internews WAJIR JRS WASDA WAJIR World Vision LWF WEST WUSC POKOT SAMBURU ISIOLO UGANDA TRANS-NZOIA DADAAB REFUGEE E. MARAKWET Kitale CAMP COMPLEX BARINGO DADAAB WFP BUNGOMA REFUGEE Eldoret CAMP Busia AVSI UASIN NAIROBI COMPLEX BUSIA KAKAMEGA GISHU CVT CVT Kakamega LAIKIPIA Humanity & NANDI SIAYA VIHIGA MERU HIAS Refugee Trust Inclusion Kisumu KISUMU Nakuru RefuSHE Internews NYANDARUA THARAKA KERICHO RET Int. Lake NAKURU Nyeri Garissa Homa Bay NYERI Embu GARISSA NYAMIRA TDH Victoria HOMA BAY KIRINYAGA EMBU WUSC MURANGA MIGORI KISII BOMET GARISSA Thika KIAMBU Mercy Corps NAROK Nairobi MACHAKOS PROGRAM KEY KITUI TANA RIVER USAID/OFDA USAID/FFP NAIROBI State/PRM TANA RIVER KAJIADO MAKUENI Agriculture and Food Security World Vision LAMU Cash Transfers for Food Communications and Capacity Building Economic Recovery and Market INFORMA KILIFI IC TI Systems PH O A N R U G N O I World Vision T Education E G U Health S A A D KILIFI I F Malindi D O Humanitarian Air Service / D C H A / TAITA TAVETA Livelihoods ESTIMATED FOOD Nutrition SECURITY LEVELS Protection Mombasa MOMBASA No Acute Food Insecurity Psychosocial Support KWALE TANZANIA Moderately Food Insecure Refugee Assistance Risk Management, Policy, and Highly Food Insecure Practice Extremely Food Insecure Shelter and Settlements Famine U.S. In-Kind Food Assistance Refugee Camp 0 50 100 mi SOURCE: FEWS NET FOOD SECURITY Water, Sanitation, and Hygiene OUTLOOK, OCTOBER 2018 - JANUARY 2019 SOURCE: UNHCR 0 50 100 150 km The boundaries and names used on this map do not imply official endorsement or acceptance by the U.S. Government..

Copy Link

Recommended publications

Cholera Outbreak Has Affected 7 Counties: Nairobi, Migori, Homa Bay, Bomet, Mombasa, Nakuru and Muranga Counties
MINISTRY OF HEALTH CHOLERA SITUATION REPORT IN KENYA AS AT 5TH MAY 2015 Weekly Situation Summary Since 26th December 2014, Cholera outbreak has affected 7 counties: Nairobi, Migori, Homa Bay, Bomet, Mombasa, Nakuru and Muranga Counties. Migori, Homabay and Bomet Cholera outbreaks are now considered successfully controlled The outbreak first started in Nairobi County on 26th December 2014. Later the outbreak was reported in Migori County on 30th January 2015, Homa Bay County on 2nd February 2015, Bomet County on 12th March 2015, Mombasa County on 6th April 2015, Nakuru 8th April and Muranga county on 18th April 2015. As of 5th May 2015, a total of 2156 cases and 42 deaths (CFR=1.9%) had been reported nationally distributed as follows: Nairobi 145 cases, 5 deaths (CFR 3.4%); Migori 915 cases, 12 deaths (CFR 1.3%); Homa Bay 377 cases, 5 deaths (CFR 1.4%) , Bomet 272 cases, 2 deaths (CFR 1.5%) ,Mombasa 69 cases, 5 deaths (CFR 7.2%), Muranga 278 cases, 1 death (0.4%), and Nakuru 100 cases, 12 deaths (CFR 12%) Cumulatively, 274 new cases were reported in the last one week (164 in Muranga, 73 in Nakuru, 17 in Mombasa and 20 in Nairobi). This is an increase from the previous week where 35 new cases were reported. 6 new deaths were reported in the last one week (5 in Nakuru and 1 in Nairobi). There are 34 current admissions in Mombasa, Nakuru and Nairobi Counties. 1 | Page New cases reported in Nairobi were detected in new epicentres- Kibera, Mukuru Kayiaba and Mukuru Kwa Njenga slums.
[Show full text]
Registered Voters Per Constituency for 2017 General Elections
REGISTERED VOTERS PER CONSTITUENCY FOR 2017 GENERAL ELECTIONS COUNTY_ CONST_ NO. OF POLLING COUNTY_NAME CONSTITUENCY_NAME VOTERS CODE CODE STATIONS 001 MOMBASA 001 CHANGAMWE 86,331 136 001 MOMBASA 002 JOMVU 69,307 109 001 MOMBASA 003 KISAUNI 126,151 198 001 MOMBASA 004 NYALI 104,017 165 001 MOMBASA 005 LIKONI 87,326 140 001 MOMBASA 006 MVITA 107,091 186 002 KWALE 007 MSAMBWENI 68,621 129 002 KWALE 008 LUNGALUNGA 56,948 118 002 KWALE 009 MATUGA 70,366 153 002 KWALE 010 KINANGO 85,106 212 003 KILIFI 011 KILIFI NORTH 101,978 182 003 KILIFI 012 KILIFI SOUTH 84,865 147 003 KILIFI 013 KALOLENI 60,470 123 003 KILIFI 014 RABAI 50,332 93 003 KILIFI 015 GANZE 54,760 132 003 KILIFI 016 MALINDI 87,210 154 003 KILIFI 017 MAGARINI 68,453 157 004 TANA RIVER 018 GARSEN 46,819 113 004 TANA RIVER 019 GALOLE 33,356 93 004 TANA RIVER 020 BURA 38,152 101 005 LAMU 021 LAMU EAST 18,234 45 005 LAMU 022 LAMU WEST 51,542 122 006 TAITA TAVETA 023 TAVETA 34,302 79 006 TAITA TAVETA 024 WUNDANYI 29,911 69 006 TAITA TAVETA 025 MWATATE 39,031 96 006 TAITA TAVETA 026 VOI 52,472 110 007 GARISSA 027 GARISSA TOWNSHIP 54,291 97 007 GARISSA 028 BALAMBALA 20,145 53 007 GARISSA 029 LAGDERA 20,547 46 007 GARISSA 030 DADAAB 25,762 56 007 GARISSA 031 FAFI 19,883 61 007 GARISSA 032 IJARA 22,722 68 008 WAJIR 033 WAJIR NORTH 24,550 76 008 WAJIR 034 WAJIR EAST 26,964 65 008 WAJIR 035 TARBAJ 19,699 50 008 WAJIR 036 WAJIR WEST 27,544 75 008 WAJIR 037 ELDAS 18,676 49 008 WAJIR 038 WAJIR SOUTH 45,469 119 009 MANDERA 039 MANDERA WEST 26,816 58 009 MANDERA 040 BANISSA 18,476 53 009 MANDERA
[Show full text]
Addressing Sexual Violence and HIV Risk Among Married Adolescent Girls in Rural Nyanza, Kenya Prepared by Chi-Chi Undie
promoting healthy, safe, and productive transitions to adulthood Brief no. 19 March 2011 Addressing sexual violence and HIV risk among married adolescent girls in rural Nyanza, Kenya Prepared by Chi-Chi Undie arried adolescent girls form a large segment of Kenyan youth, yet they are largely overlooked by researchers and program Mmanagers concerned with the lives of adolescents. As evidence demonstrates, this neglected population of married girls is likely to be vulnerable and in need of support. HIV infection is much higher among adolescent girls in sub-Saharan Africa than among boys. In settings such as Nyanza Province, Kenya, rates of HIV infection are extremely high, and evidence is increasing in some settings that girls who are mar- ried are much more likely to be infected with HIV, compared with their unmarried sexually active counterparts. Sexual violence and HIV/AIDS are a lethal combination. Research indicates that the risk of HIV infection following forced sex is likely to be higher than following consensual sex. Finding ways to tackle sexual violence and HIV infection simultaneously has therefore become a major public health endeavor. Married adolescent girls are particularly vulnerable to sexual vio- lence; however, there is a lack of data to guide intervention efforts specifically for such girls because they have largely remained invisible in programs. This brief describes a program addressing the problem of sex- ual violence and the risk of HIV transmission within marriage in Kenya’s Nyanza Province. The program was based on the Population Council’s analysis of the 2003 Kenya Demographic and Health Survey (KDHS) as well as on formative research within rural Nyanza.
[Show full text]
Download List of Physical Locations of Constituency Offices
INDEPENDENT ELECTORAL AND BOUNDARIES COMMISSION PHYSICAL LOCATIONS OF CONSTITUENCY OFFICES IN KENYA County Constituency Constituency Name Office Location Most Conspicuous Landmark Estimated Distance From The Land Code Mark To Constituency Office Mombasa 001 Changamwe Changamwe At The Fire Station Changamwe Fire Station Mombasa 002 Jomvu Mkindani At The Ap Post Mkindani Ap Post Mombasa 003 Kisauni Along Dr. Felix Mandi Avenue,Behind The District H/Q Kisauni, District H/Q Bamburi Mtamboni. Mombasa 004 Nyali Links Road West Bank Villa Mamba Village Mombasa 005 Likoni Likoni School For The Blind Likoni Police Station Mombasa 006 Mvita Baluchi Complex Central Ploice Station Kwale 007 Msambweni Msambweni Youth Office Kwale 008 Lunga Lunga Opposite Lunga Lunga Matatu Stage On The Main Road To Tanzania Lunga Lunga Petrol Station Kwale 009 Matuga Opposite Kwale County Government Office Ministry Of Finance Office Kwale County Kwale 010 Kinango Kinango Town,Next To Ministry Of Lands 1st Floor,At Junction Off- Kinango Town,Next To Ministry Of Lands 1st Kinango Ndavaya Road Floor,At Junction Off-Kinango Ndavaya Road Kilifi 011 Kilifi North Next To County Commissioners Office Kilifi Bridge 500m Kilifi 012 Kilifi South Opposite Co-Operative Bank Mtwapa Police Station 1 Km Kilifi 013 Kaloleni Opposite St John Ack Church St. Johns Ack Church 100m Kilifi 014 Rabai Rabai District Hqs Kombeni Girls Sec School 500 M (0.5 Km) Kilifi 015 Ganze Ganze Commissioners Sub County Office Ganze 500m Kilifi 016 Malindi Opposite Malindi Law Court Malindi Law Court 30m Kilifi 017 Magarini Near Mwembe Resort Catholic Institute 300m Tana River 018 Garsen Garsen Behind Methodist Church Methodist Church 100m Tana River 019 Galole Hola Town Tana River 1 Km Tana River 020 Bura Bura Irrigation Scheme Bura Irrigation Scheme Lamu 021 Lamu East Faza Town Registration Of Persons Office 100 Metres Lamu 022 Lamu West Mokowe Cooperative Building Police Post 100 M.
[Show full text]
Usg Humanitarian Assistance to Kenya
USG HUMANITARIAN ASSISTANCE TO KENYA 35° 36° 37° 38° 39° 40°Original Map Courtesy 41° of the UN Cartographic Section 42° SUDAN The boundaries and names used on this map do not imply official endorsement or acceptance Todenyang COUNTRYWIDE by the U.S. Government. Banya ETHIOPIA Lokichokio KRCS Sabarei a UNICEF 4° F 4° RIFT VALLEY Banissa WFP Ramu Mandera ACTED Kakuma ACRJ Lokwa UNHCR Kangole p ManderaMandera Concern CF Moyale Takaba IFRC North Horr Lodwar IMC F MoyaleMoyale 3° El NORTHWak EASTERN 3° Merlin F Loiyangalani FH FilmAid TurkanaTurkana Buna AC IRC MarsabitMarsabit Mercy USA F J j D Lokichar JRS k WASDA J j Marsabit WajirWajir Tarbaj CARE LWR ikp EASTERNEASTERN Vj J 2° Girito Salesian Missions Lokori Center for 2° S Victims of Torture k Baragoi EASTERN World University Laisamis Wajir of Canada V FH FilmAid WestWest AC PokotPokot NORTHNORTH Handicap Int. RIFTR I F T VALLEYVA L L E Y SamburuSamburu EASTERNEASTERN IRC UGANDA Tot j D Maralal TransTrans NzoiaNzoia MarakwetMarakwet Archer's LWR 1° MtMt Kitale BaringoBaringo Dif ikp 1° Kisima Post Habaswein ElgonElgon NRC LugariLugari Lorule S I WESTERNWESTERN UasinUasin SC BungomaBungoma GishuGishu Mado Gashi G TesoTeso Marigat IsioloIsiolo Busia Webuye Eldoret KeiyoKeiyo Isiolo World UniversityLiboi KakamegaKakamega Lare Kinna of Canada V Burnt Nyahururu LaikipiaLaikipia BusiaBusia Kakamega Forest Butere NandiNandi KoibatekKoibatek (Thomson's Falls) MeruMeru NorthNorth Nanyuki Dadaab SiayaSiaya VihigaVihiga Subukia Mogotio Meru 0° Kipkelion MeruMeru 0° Londiani a KisumuKisumu
[Show full text]
Understanding the Effects of Poor Sanitation on Public Health, the Environment and Well-Being Homa Bay County - Report of Research Findings
Understanding the Effects of Poor Sanitation on Public Health, the Environment and Well-being Homa Bay County - Report of research findings June 2018 Kenya Country Office Ngong Lane, off Ngong Road P.O. Box 30776, 00100 Nairobi, Kenya Tel.: +254 724 463355 Email: [email protected] Executive Summary Poor sanitation is linked to diarrhoeal diseases, which are among the leading causes of morbidity and mortality in children under five. It is also associated with a number of infectious and nutritional outcomes which have great bearing on the health and well-being of the child. This study was conducted to gain more insights into the effects of poor sanitation on public health, the environment and well-being in Homa Bay County. The results of this case-control study show that the majority of adult respondents (the child’s caregiver) were females (85%), with the majority in both the case and control groups (41%) aged 30-39. A small proportion were aged under 19 (2.5% in the control group and 5.4% in the cases). A considerable proportion of respondents had basic education, with 27.5% of the control group and 31.3% of the case group having completed primary school and 18.9% and 15.8% in the control and cases categories respectively having completed secondary school. About 70% of the respondents lived in their own homes and about a quarter were renting (29% controls and 26.7% cases), with most of the homes being either one- or two- More bedroomed. The results suggest a potential link between household poverty and the respondents in incidence of child diarrhoea: the control group households had higher annual incomes than those in the case group and more control families were in the middle wealth the control had quintile than case families.
[Show full text]
(IMCI) Implementation in Kenya
A Case Study of Integrated Management of Childhood Illness (IMCI) Implementation in Kenya K Mullei, F Wafula, C Goodman October 2008 This paper is an output of the Consortium for Research on Equitable Health Systems. The authors are based at the Kenya Medical Research Institute (KEMRI), Kenya. Kenya Medical Research Institute, PO Box 43640, 00100 GP, Nairobi, Kenya. 1 ABOUT CREHS The Consortium for Research on Equitable Health Systems (CREHS) is a five year DFID funded Research Programme Consortium that is made up of eight organisations based in Kenya, India, Nigeria, South Africa, Tanzania, Thailand and the United Kingdom. It aims to generate knowledge about how to strengthen health systems, policies and interventions in ways which preferentially benefit the poorest. The research is organised in four themes: health sector reform, financial risk protection, health workforce performance and scaling up. The consortium will achieve its aim by: • working in partnership to develop research • strengthening the capacity of partners to undertake relevant research and of policymakers to use research effectively • communicating findings in a timely, accessible and appropriate manner so as to influence local and global policy development For more information about CREHS please contact: Consortium for Research on Equitable Health Systems (CREHS) London School of Hygiene and Tropical Medicine, Keppel Street, London, UK WC1E 7HT Email: [email protected] Website: www.crehs.lshtm.ac.uk ACKNOWLEDGEMENTS We would like to thank the following organisations and individuals for their valuable contributions and support in preparing this report: the members of the Division of Child Health; representatives of national and local development partners; and the District Health Management Teams and health workers in Malindi and Homa Bay.
[Show full text]
Kenya: Agricultural Sector
Public Disclosure Authorized AGRICULTURE GLOBAL PRACTICE TECHNICAL ASSISTANCE PAPER Public Disclosure Authorized KENYA AGRICULTURAL SECTOR RISK ASSESSMENT Public Disclosure Authorized Stephen P. D’Alessandro, Jorge Caballero, John Lichte, and Simon Simpkin WORLD BANK GROUP REPORT NUMBER 97887 NOVEMBER 2015 Public Disclosure Authorized AGRICULTURE GLOBAL PRACTICE TECHNICAL ASSISTANCE PAPER KENYA Agricultural Sector Risk Assessment Stephen P. D’Alessandro, Jorge Caballero, John Lichte, and Simon Simpkin Kenya: Agricultural Sector Risk Assessment © 2015 World Bank Group 1818 H Street NW Washington, DC 20433 Telephone: 202-473-1000 Internet: www.worldbank.org E-mail: [email protected] All rights reserved This volume is a product of the staff of the World Bank Group. The fi ndings, interpretations, and conclusions expressed in this paper do not necessarily refl ect the views of the Executive Directors of the World Bank Group or the governments they represent. The World Bank Group does not guarantee the accuracy of the data included in this work. The boundaries, colors, denominations, and other information shown on any map in this work do not imply any judgment on the part of the World Bank Group concerning the legal status of any territory or the endorsement or acceptance of such boundaries. Rights and Permissions The material in this publication is copyrighted. Copying and/or transmitting portions or all of this work without permission may be a violation of applicable law. World Bank Group encourages dissemination of its work and will normally grant permission to reproduce portions of the work promptly. For permission to photocopy or reprint any part of this work, please send a request with complete information to the Copyright Clear- ance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, USA, telephone: 978-750-8400, fax: 978-750-4470, http://www.copyright .com/.
[Show full text]
Kenya HIV Estimates Report, 2018 I
KENYA HIV ESTIMATES REPORT 2018 NATIONAL AIDS CONTROL COUNCIL KENYA HIV ESTIMATES REPORT 2018 www.nacc.or.ke October 2018 Kenya HIV Estimates Report, 2018 i Table of Contents Foreword .....................................................................................................................................................................1 Preface .........................................................................................................................................................................2 Acknowledgement .....................................................................................................................................................3 Executive Summary .....................................................................................................................................................4 Adult HIV Prevalence ............................................................................................................................................4 HIV prevalence among males and females aged 15 to 24 years..........................................................................5 Annual New HIV Infections ...................................................................................................................................5 Trends in HIV Incidence and New HIV Infections .................................................................................................5 Treatment Needs ..................................................................................................................................................6
[Show full text]
Final Report Appeal N° MDRKE045.Pdf
Final Report Kenya Floods Emergency Appeal Operation n° MDRKE045 Date of Issue: 30/04/2021 Glide number: FL-2019-000138-KEN Operation start date: 28/10/2019 Operation end date: 04/12/2020 Host National Society(ies): Kenya Red Cross Operation budget: 5 million Swiss francs Number of people affected: 400,000 Number of people assisted: 300,000 people Red Cross Red Crescent Movement partners currently actively involved in the operation: American RC, British Red Cross, Danish Red Cross, Finnish RC, Netherlands Red Cross, Japanese Red Cross, Red Cross of Monaco, Swedish Red Cross and Canadian RC. Other partner organizations actively involved in the operation: National Drought Management Authority, Tullow Oil Company and World Food Program, Italian Government, Netherlands Government, Canadian Government. As per the financial report attached, this operation closed with a balance of CHF 5,100. The International Federation seeks approval from its donors to reallocate this balance to the general cluster Appeal which will aid in monitoring of subsequent Kenya interventions. Partners/Donors who have any questions regarding this balance are kindly requested to contact Kriztin Solberg [email protected], within 30 days of publication of this final report. Pass this date the reallocation will be processed as indicated. <Please click here for the final financial report and here for the contacts> A. SITUATION ANALYSIS Description of the disaster October – November – December 2020 Rains Season Heavy rains were experienced in many parts of the Country following onset of the October-November-December (OND) 2019. The enhanced OND 2019 rains resulted into widespread flooding affecting 29 Counties in Kenya: Mombasa, Kwale, Kilifi, Tana River and Taita–Taveta of the Coastal region, Garissa, Wajir and Mandera of the North Eastern Kenya and Marsabit, Isiolo and Samburu of the Upper Eastern part of the Country.
[Show full text]
44. Uasin Gishu
Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized PROJECTS INCOUNTIES WORLD BANK-FUNDED KENYA WORLD BANK-FUNDED PROJECTS IN COUNTIES KENYA March, 2016 DATA SOURCE: 1. Kenya County Fact Sheets: Populaton & Populaton density - Kenya Natonal Bureau of Statstcs 2009 Census. Poverty gap Index Source: Kenya Natonal Bureau of statstcs (2012) County Poverty Trends based on WMS II (1994), WMS III. (1997bs (2005/06) and KIHBS. 2. Exchange rate US$-KSH 103 Central Bank of Kenya average July-September 2015. Disclaimer: The informaton contained in this booklet, is likely to be altered, based on changes that occur during project preparaton and implementaton. The booklet contains informaton on all actve projects in the country as of June 2015. It also captures actve regional projects that impact on various countes in Kenya. The booklet takes into account the difculty of allocatng defned amounts to countes in projects that have a natonal approach and impact. It has applied pro rata amounts as defned in each secton. However, it has not captured informaton under the following projects: EAPP-P112688, KEMP-P120014 & P145104, KEEPP103037, ESRP P083131 & P129910, EEHP -P126579, EATTFT-P079734 & NCTIPP082615, WKCDD & FMP P074106, AAIOSK-P132161, EARTTD-P148853, and KGPED-P14679. Design: Robert Waiharo Photo Credits: Isabela Gómez & Gitonga M’mbijiwe TABLE OF CONTENTS Preface ..........................................................................................................................................................................................................
[Show full text]
Figure1: the Map of Kenya Showing 47 Counties (Colored) and 295 Sub-Counties (Numbered)
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Global Health Additional file 1: The county and sub counties of Kenya Figure1: The map of Kenya showing 47 counties (colored) and 295 sub-counties (numbered). The extents of major lakes and the Indian Ocean are shown in light blue. The names of the counties and sub- counties corresponding to the shown numbers below the maps. List of Counties (bold) and their respective sub county (numbered) as presented in Figure 1 1. Baringo county: Baringo Central [1], Baringo North [2], Baringo South [3], Eldama Ravine [4], Mogotio [5], Tiaty [6] 2. Bomet county: Bomet Central [7], Bomet East [8], Chepalungu [9], Konoin [10], Sotik [11] 3. Bungoma county: Bumula [12], Kabuchai [13], Kanduyi [14], Kimilili [15], Mt Elgon [16], Sirisia [17], Tongaren [18], Webuye East [19], Webuye West [20] 4. Busia county: Budalangi [21], Butula [22], Funyula [23], Matayos [24], Nambale [25], Teso North [26], Teso South [27] 5. Elgeyo Marakwet county: Keiyo North [28], Keiyo South [29], Marakwet East [30], Marakwet West [31] 6. Embu county: Manyatta [32], Mbeere North [33], Mbeere South [34], Runyenjes [35] Macharia PM, et al. BMJ Global Health 2020; 5:e003014. doi: 10.1136/bmjgh-2020-003014 BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Global Health 7. Garissa: Balambala [36], Dadaab [37], Dujis [38], Fafi [39], Ijara [40], Lagdera [41] 8.
[Show full text]