World Bank Global Poverty Monitoring Technical Note

Total Page:16

File Type:pdf, Size:1020Kb

World Bank Global Poverty Monitoring Technical Note Global Poverty Monitoring Technical Note 2 Public Disclosure Authorized September 2018 PovcalNet Update What’s New Shaohua Chen, Dean M. Jolliffe, Christoph Lakner, Kihoon Lee, Daniel Gerszon Mahler, Rose Mungai, Minh C. Nguyen, Public Disclosure Authorized Espen Beer Prydz, Prem Sangraula, Dhiraj Sharma, Judy Yang and Qinghua Zhao September 2018 (Updated March 2019*) Public Disclosure Authorized Keywords: What’s new; September 2018; India; LIS; API Public Disclosure Authorized Development Data Group Development Research Group Poverty and Equity Global Practice Group Abstract The September 2018 update to PovcalNet involves several changes to the data underlying the global poverty estimates. Some welfare aggregates have been changed for improved harmonization, and some of the CPI, national accounts, and population input data have been revised. This document explains these changes in detail and the reasoning behind them. Emphasis is given to the updates to the Indian poverty estimates. In addition to the changes listed here, 24 new country-years have been added, bringing the total number of surveys to 1601. All authors are with the World Bank. Corresponding authors: Christoph Lakner ([email protected]) and Minh C. Nguyen ([email protected]). The authors are thankful for comments and guidance received from Aziz Atamanov, Joao Pedro Azevedo, R. Andres Castaneda Aguilar, Paul A. Corral Rodas, Reno Dewina, Carolina Diaz-Bonilla, Francisco Ferreira, Jose Montes, Laura Moreno Herrera, Rinku Murgai, David Newhouse, and Ayago Esmubancha Wambile, and to Ruoxuan Wu for excellent research assistance. This note has been cleared by Francisco Ferreira. *March 2019 update: • Appendix with the CPI source for each country-year has been added (Table A.1). This refers to the CPIs used for the September 2018 PovcalNet update. The Global Poverty Monitoring Technical Note Series publishes short papers that document methodological aspects of the World Bank’s global poverty estimates. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent. Global Poverty Monitoring Technical Notes are available at http://iresearch.worldbank.org/PovcalNet/. Contents 1. Introduction ............................................................................................................................. 1 2. Changes to welfare aggregates ................................................................................................ 3 2.1. Bhutan 2003 .................................................................................................................... 3 2.2. EU-SILC data.................................................................................................................. 3 2.3. LIS data ........................................................................................................................... 3 2.4. Fiji 2013.24 ..................................................................................................................... 4 2.5. Kenya .............................................................................................................................. 4 2.6. Malaysia 2008.25 ............................................................................................................ 4 2.7. Rwanda 2010.83 and 2013.75 ......................................................................................... 4 3. Changes to CPI data ................................................................................................................ 5 4. Changes to national accounts data ........................................................................................... 6 5. Changes to population and survey coverage data .................................................................... 7 6. Revisions to India’s poverty estimates .................................................................................... 8 6.1. CPI revisions ................................................................................................................... 8 6.2. Revisions to line-up after 2011.5 .................................................................................... 8 7. Country-years added .............................................................................................................. 12 8. Estimating shared prosperity in China................................................................................... 12 9. Other changes ........................................................................................................................ 13 References ..................................................................................................................................... 14 Appendix ....................................................................................................................................... 15 1. Introduction The September 2018 global poverty update from the World Bank presents new poverty estimates for 2015, and revises the previously published global and regional estimates from 1981 to 2013. The update includes new surveys that have been received and processed, as well as several changes to the existing data. Some changes reflect improvements in the welfare aggregate based on new harmonization efforts and more available information. This document outlines the changes made to the underlying data by country, and explains the reasons why the changes have been made. Table 1 shows the global and regional poverty estimates for 2015, which are presented in more detail in the 2018 Poverty and Shared Prosperity report (World Bank, 2018). In 2015, an estimated 736 million people were living below the international poverty line, currently set at $1.90 in 2011 purchasing power parity (PPP) U.S. dollars. The global poverty rate, the share of the world’s population living below the international poverty line, stands at 10%, while 26% live on less than $3.20 and 46% live on less than $5.50. Sub-Saharan Africa accounts for more than half of the world’s population below the international poverty line and has the highest regional poverty rate, at 41%. Table 1. Poverty estimates for reference year 2015, different poverty lines $1.90 $3.20 $5.50 Survey Head- Num- Head- Num- Head- Num- Region coverage count ber of count ber of count ber of (%) ratio poor ratio poor ratio poor (%) (mil) (%) (mil) (%) (mil) East Asia and Pacific 97.6 2.3 47 12.5 254 34.9 710 Europe and Central Asia 89.9 1.5 7 5.4 26 14.0 68 Latin America and the Caribbean 89.8 4.1 26 10.8 68 26.4 165 Middle East and North Africa 64.6 5.0 19 16.3 61 42.5 158 South Asia 21.4 n/a n/a n/a n/a n/a n/a Sub-Saharan Africa 52.7 41.1 413 66.3 667 84.5 849 Other High-Income Economies 71.7 0.7 7 0.9 10 1.5 16 World Total 66.7 10.0 736 26.3 1933 46.0 3386 Source: PovcalNet Note: Survey coverage is assessed within a two-year window either side of 2015, i.e. including surveys that were conducted between 2013 and 2017 (see section 5 below). The estimates for South Asia are not displayed since the region has a survey coverage less than 40%. 1 Table 2 illustrates the impact of the data updates on global poverty for the reference year 2013. The estimates for 2013 were first published in October 2016, and have since been revised in October 2017 and April 2018. With the new data, the estimate of the global $1.90 headcount ratio increased from 10.9% to 11.2% and the number of poor increased from 783 million to 804 million people. The additional 21 million poor people at the global level can be largely explained by a revision of the line-up methodology in India (see section 6.2 for details), which increases the estimated number of poor in India by 17 million (from 210 to 227), and increases the headcount ratio in South Asia from 15.1% to 16.2%. The remaining change is mostly explained by a new survey in Kenya in 2015.67.1 This new survey adds more than 2 million poor people in Kenya compared to the previous estimate, which was based on an extrapolation of the 2005.38 survey. Apart from India and Kenya, no country had its estimate change by more than half a million poor people. Table 2. Poverty at reference year 2013: Comparison of April and September 2018 versions $1.90: $1.90: $3.20: $3.20: $5.50: $5.50: Headcount Number of Headcount Number of Headcount Number of ratio (%) poor (mil) ratio (%) poor (mil) ratio (%) poor (mil) Region Apr Sep Apr Sep Apr Sep Apr Sep Apr Sep Apr Sep 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 East Asia and 3.6 3.6 73 73 17.6 17.5 352 352 42.5 42.4 853 852 Pacific Europe and Central 1.6 1.6 7.7 8 5.8 5.8 28 28 14.1 14.1 68 68 Asia Latin America and 4.5 4.6 28 28 11.3 11.4 69 70 27.1 27.2 166 167 the Caribbean Middle East and 2.7 2.6 9.6 9 14.5 14.4 52 51 42.7 42.3 153 152 North Africa South Asia 15.1 16.2 257 274 52.6 53.9 894 916 83.5 84.2 1418 1431 Sub-Saharan 42.3 42.5 401 405 67.5 67.8 639 645 85.2 85.4 807 813 Africa Other High-Income 0.6 0.6 6.4 6 0.9 0.8 9.5 8.9 1.5 1.5 16 16 Economies World Total 10.9 11.2 783 804 28.6 28.8 2044 2072 48.7 48.7 3481 3498 Source: PovcalNet Note: The increase in the number of poor at the $5.50 line, without any change in the headcount ratio, can be explained by rounding
Recommended publications
  • African Development Report 2015 Growth, Poverty and Inequality Nexus
    African Development Report 2015 African Despite earlier periods of limited growth, African economies Sustaining recent growth successes while making future growth have grown substantially over the past decade. However, poverty more inclusive requires smart policies to diversify the sources African Development and inequality reduction has remained less responsive to growth of growth and to ensure broad-based participation across successes across the continent. How does growth affect poverty segments of society. Africa needs to adopt a new development and inequality? How can Africa overcome contemporary and trajectory that focuses on effective structural transformation. Report 2015 future sustainable development challenges? This 2015 edition Workers need to move from low productivity sectors to those of the African Development Report (ADR) offers analysis, where both productivity and earnings are higher. Key poverty- Growth, Poverty and Inequality Nexus: synthesis and recommendations that are relevant to these reducing sectors, such as agriculture and manufacturing, should Overcoming Barriers to Sustainable Development questions. The objective of this Report is to guide policy be targeted and accorded high priority for public and private Growth, Poverty Growth, Development and Inequality Sustainable to Nexus: Overcoming Barriers processes by contributing to the debate analysing what has investment. Adding value to many of Africa’s primary exports happened during recent years, what has worked well, what may earn the continent a competitive margin in international hasn’t worked well, and what needs to be done to address markets, while also meeting domestic market needs, especially further barriers to sustainable development in Africa? Africa’s with regard to food security. Apart from the need to prioritise recent economic growth has not been accompanied by a real certain sectors, other policy recommendations emanating from structural transformation.
    [Show full text]
  • KENYA POPULATION SITUATION ANALYSIS Kenya Population Situation Analysis
    REPUBLIC OF KENYA KENYA POPULATION SITUATION ANALYSIS Kenya Population Situation Analysis Published by the Government of Kenya supported by United Nations Population Fund (UNFPA) Kenya Country Oce National Council for Population and Development (NCPD) P.O. Box 48994 – 00100, Nairobi, Kenya Tel: +254-20-271-1600/01 Fax: +254-20-271-6058 Email: [email protected] Website: www.ncpd-ke.org United Nations Population Fund (UNFPA) Kenya Country Oce P.O. Box 30218 – 00100, Nairobi, Kenya Tel: +254-20-76244023/01/04 Fax: +254-20-7624422 Website: http://kenya.unfpa.org © NCPD July 2013 The views and opinions expressed in this report are those of the contributors. Any part of this document may be freely reviewed, quoted, reproduced or translated in full or in part, provided the source is acknowledged. It may not be sold or used inconjunction with commercial purposes or for prot. KENYA POPULATION SITUATION ANALYSIS JULY 2013 KENYA POPULATION SITUATION ANALYSIS i ii KENYA POPULATION SITUATION ANALYSIS TABLE OF CONTENTS LIST OF ACRONYMS AND ABBREVIATIONS ........................................................................................iv FOREWORD ..........................................................................................................................................ix ACKNOWLEDGEMENT ..........................................................................................................................x EXECUTIVE SUMMARY ........................................................................................................................xi
    [Show full text]
  • The Mdgs and Sauri Millennium Village in Kenya
    An Island of Success in a Sea of Failure? The MDGs and Sauri Millennium Village in Kenya Amrik Kalsi MBA: Master of Business Administration MSc: Master of Science in Management and Organisational Development MA: Master of Arts A thesis submitted for the degree of Doctor of Philosophy at The University of Queensland in 2015 The School of Social Science Abstract For a number of decades, foreign aid-supported poverty reduction and development concepts, and policies and programmes developed by development agencies and experts implemented since the 1950s, have produced limited short-term and sometimes contradictory results in Kenya. In response to this problem in 2000, the adoption of the Millennium Development Goals (MDGs) was in many respects a tremendous achievement, gaining unprecedented international support. The MDGs model has since become the policy of choice to reduce poverty and hunger in developing countries by half between 2000 and 2015, being implemented by the Millennium Village Project (MVP) ‘Big-Push’ model, seemingly designed as a ‘bottom-up’ approach. Poverty reduction and sustainable development are key priorities for the Kenyan government and the Kenya Vision 2030 blueprint project. The MDGs process, enacted as the Millennium Village Project (MVP) in Kenya for poverty reduction, is now at the centre of intense debate within Kenya. It is widely recognised that foreign aid maintained MVP and sustainable development through the UN and local efforts, especially in their present form, have largely failed to address poverty in Kenya. Furthermore, not enough was known about the achievements of the MVP model in real- world situations when the MVP model interventions were applied in the Sauri village.
    [Show full text]
  • World Bank Document
    WESTERN KENYA INTEGRATED ECOSYSTEM MANAGEMENT PROJECT WKIEMP Public Disclosure Authorized ENVIRONMENTAL AND SOCIAL MANAGEMENT FRAMEWORK ESMF Public Disclosure Authorized Public Disclosure Authorized FINAL REPORT By Professor Steven G. Njuguna Lead Environmental Impact Assessment and Environmental Audit Expert SPARVS Agency Environmental Consultancy Services P.O. Box 122, Limuru, Kenya E-mail: <prof_njuguna @yahoo.com> <[email protected]> With Technical Inputs From: Mrs. Immaculate N. Maina Agricultural Extension Specialist Public Disclosure Authorized Kenya Agricultural Research Institute And Mr. Wilson Aore Soil Scientist Kenya Soil Survey National Agricultural Research Laboratories Kenya Agricultural Research Institute October 2004 Environmental and Social Management Framework 1 Western Kenya Integrated Ecosystem Management Project TABLE OF CONTENTS ACRONYMS AND ABBREVIATIONS 4 EXECUTIVE SUMMARY 6 1. INTRODUCTION 9 1.1 OBJECTIVES 9 1.2 PRINCIPLES AND METHODOLOGY 10 1.3 REPORT LAYOUT 10 2. DESCRIPTION OF THE PROPOSED PROJECT 12 2.1 BACKGROUND TO THE PROJECT 12 2.2 PROJECT COMPONENTS 12 2.3 SUBPROJECTS 13 2.4 PROJECT TARGET AREAS 14 2.5 PROJECT COORDINATION AND IMPLEMENTATION ARRANGEMENTS 15 2.6 ANNUAL REPORTING AND PERFORMANCE REVIEW REQUIREMENTS 15 3. SAFEGUARD SCREENING PROCEDURES 16 3.1 WORLD BANK SAFEGUARD POLICIES 16 3.2 MAINSTREAMING SAFEGUARD COMPLIANCE INTO SUBPROJECT SCREENING 17 3.3 KENYA'S ENVIRONMENTAL LEGISLATION 17 3.4 SUBPROJECT SCREENING UNDER KENYAN LAW 18 3.5 INTERNATIONAL CONVENTIONS AND TREATIES 18 4. BASELINE INFORMATION 20 4.1 BIOPHYSICAL 20 4.2 SOCIO-ECONOMIC CHARACTERISTICS 22 5. GUIDANCE ON POTENTIAL IMPACTS 27 5.1 OVERALL ENVIRONMENTAL AND SOCIAL IMPACT 27 5.2 POTENTIAL POSITIVE IMPACTS 27 5.3 POTENTIAL NEGATIVE IMPACTS 28 5.1 LOCALIZED IMPACTS 36 5.2 CUMULATIVE IMPACTS 36 5.3 STRATEGIC IMPACTS 37 5.4 ANALYSIS OF ALTERNATIVES 39 6.
    [Show full text]
  • Food Security in Kenya
    Volume 13 No. 4 September 2013 Short Communication FOOD SECURITY PROBLEMS IN VARIOUS INCOME GROUPS OF KENYA Tom Olielo1* Tom Olielo *Corresponding author email: [email protected] 1P.O Box 4777 – 40103 Kisumu; ECOHIM Department Maseno University, Kenya 1 Volume 13 No. 4 September 2013 ABSTRACT Poverty and hunger are common in Kenya especially in arid and semi arid lands that cannot support crops and are also overgrazed thereby yielding low incomes, and in urban low income dwellings. Indicators of food insecurity and malnutrition such as proportion of the poor in the population, those requiring food assistance and anthropometric measurements have through the years shown that large proportions, about half the population of Kenya are food insecure. Among the affected, around 3.5 million go hungry or are malnourished. Increasing income promotes consumption of diverse foods and facilitates change in diets from basic staples such as maize to foods that require less preparation fruits and processed foods. This research was carried out to assess consumption of foods and characteristics of various income groups and determine factors that cause food insecurity. Three Nairobi housing estates were selected to represent low income group, medium income group, and high income group. These estates are, respectively, Kayole, Buruburu and Westlands. Monthly income by the low income, medium income and high income households were, respectively, KES ≤ 14000 (US$ 177.5), 14001 to 56000 (US$178 to 812) and ≥ 56000 (US$ 812). In each estate, a sample of 130 households was studied. The average household had 5 people. Ugali (thick porridge) is the main staple food and was consumed by 88% of the households, while vegetables were consumed by 92 %.
    [Show full text]
  • See Me, and Do Not Forget Me People with Disabilities in Kenya
    1 See me, and do not forget me People with disabilities in Kenya Benedicte Ingstad Lisbet Grut SINTEF Health Research Oslo, Norway February 2007 2 Map of Kenya (http://en.wikipedia.org/wiki/Image:Kenya, 2006) 3 TABLE OF CONTENTS 1 Background ........................................................................................................................ 6 1.1 The contributors to the study...................................................................................... 6 1.2 Country background................................................................................................... 7 1.3 Kenya and disability issues ...................................................................................... 11 1.3.1 Post independent initiatives.............................................................................. 12 1.3.2 Issues of critical concern.................................................................................. 13 1.3.3 Disability, a cross cutting issue........................................................................ 14 1.3.4 Barriers............................................................................................................. 14 1.3.5 Disability and development.............................................................................. 15 1.3.6 Key achievements on issues of persons with disabilities................................. 15 2 The study of disability and poverty.................................................................................. 18 2.1 The Problem ............................................................................................................
    [Show full text]
  • Environment for Development: an Ecosystems Assessment of Lake Victoria Basin Environmental and Socio-Economic Status, Trends and Human Vulnerabilities
    Environment for Development: An Ecosystems Assessment of Lake Victoria Basin Environmental and Socio-Economic Status, Trends and Human Vulnerabilities Editors: Eric O. Odada Daniel O. Olago Washington O. Ochola PAN-AFRICAN SECRETARIAT Environment for Development: An Ecosystems Assessment of Lake Victoria Basin Environmental and Socio-economic Status, Trends and Human Vulnerabilities Editors Eric O. Odada Daniel O. Olago Washington O. Ochola Copyright 2006 UNEP/PASS ISBN ######### Job No: This publication may be produced in whole or part and in any form for educational or non-profit purposes without special permission from the copyright holder, provided acknowledgement of the source is made. UNEP and authors would appreciate receiving a copy of any publication that uses this report as a source. No use of this publication may be made for resale or for any other commercial purpose whatsoever without prior permission in writing of the United Nations Environmental Programme. Citation: Odada, E.O., Olago, D.O. and Ochola, W., Eds., 2006. Environment for Development: An Ecosystems Assessment of Lake Victoria Basin, UNEP/PASS Pan African START Secretariat (PASS), Department of Geology, University of Nairobi, P.O. Box 30197, Nairobi, Kenya Tel/Fax: +254 20 44477 40 E-mail: [email protected] http://pass.uonbi.ac.ke United Nations Environment Programme (UNEP). P.O. Box 50552, Nairobi 00100, Kenya Tel: +254 2 623785 Fax: + 254 2 624309 Published by UNEP and PASS Cover photograph © S.O. Wandiga Designed by: Development and Communication Support Printed by: Development and Communication Support Disclaimers The contents of this volume do not necessarily reflect the views or policies of UNEP and PASS or contributory organizations.
    [Show full text]
  • The Hunger and Obesity of Children in Kenya
    Heather Pray, Student Participant Conrad Weiser High School, Pennsylvania The Hunger and Obesity of Children in Kenya Malnutrition is an imbalance, whether it is a deficiency or an excess in the number of dietary elements one receives. Diogenes said, “If a rich man when you will; If a poor man when you can.” However, a lack of food is not the only way to starve. One-third of the world’s population is short on calories, while two-thirds are lacking in adequate protein. Sadly, many children are undernourished because they are lacking in the nutrients needed for their growth. These children often go hungry or eat meager meals. Many live in poverty in the cities or at their rural homes. Children are limited to what they can and cannot eat by their parent’s income. However, in Kenya, hunger is not the only existing problem for children. Obesity has become one. Often times in the cities, there is a thick line of social division between those starving and living in poverty and those who have enough money and are full. Those children, who are living comfortable lives, may be sickly, because they are not receiving the right amount of nutrients. Certain healthful foods should be given to children at different age levels. An infant for instance should be fed breast milk whenever hungry. Toddlers should start eating solid foods. Children age six and up need foods from each of the five food groups daily. Children grow the most in their first five years of life. Unfortunately, this is when many children either receive not enough or to many nutrients.
    [Show full text]
  • Kenya Food Security Brief
    KENYA FOOD SECURITY BRIEF DECEMBER 2013 Kenya Food Security Brief This publication was prepared by Anne Speca under the United States Agency for International Development Famine Early Warning Systems Network (FEWS NET) Indefinite Quantity Contract. The author’s views expressed in this publication do not necessarily reflect the views of the United States Agency for International Development or the United States Government. Page 2 Kenya Food Security Brief Introduction This Food Security Brief is a starting point for anyone seeking a deep understanding of the range of factors influencing food security in Kenya. It draws on decades of FEWS NET data and information on livelihoods, household vulnerability, nutrition, trade, and agro-climatology, as well as an array of other sources. It provides an overview of the food security context, the main determinants of chronic and acute food insecurity, and areas at most risk of food insecurity. ABOUT The brief is organized around the FEWS NET Household Livelihoods Analytical F E W S N E T Framework (Figure 1), which looks at underlying and proximate causes of food insecurity as a means to anticipate outcomes at regional and household levels. FEWS Created in response to NET’s approach integrates aspects of the Disaster Risk Reduction Framework, the the 1984 famines in Four Pillars of Food Security, and the UNICEF nutritional framework. East and West Africa, the Famine Early At the core of this analysis is an understanding of livelihoods—that is, the means by Warning Systems which households obtain and maintain access to essentials such as food, water, Network (FEWS shelter, clothing, health care, and education—both in good years and in bad.
    [Show full text]
  • World Bank Document
    EnvironmentallySustainable AFTESWorking Paper No.18 DevelopmentDivision AgriculturalPolicy and Production Public Disclosure Authorized 20567 AGRICULTURE AND ECONOMIC REFORM IN SUB-SAHARAN AFRICA Public Disclosure Authorized By W. Graeme Donovan Public Disclosure Authorized January 1996 Public Disclosure Authorized Environmentally Sustainable Development Division Africa Technical Department The World Bank AFTES Working Paper No. 18 AGRICULTUREAND ECONOMIC REFORM IN SUB-SAHARAN AFRICA JANUARY 1996 W. Graeme Donovan Principal Economist, Agriculture and Environment Operations Division, Eastern Africa Department, Africa Region, World Bank The opinions and conclusionsexpressed herein are those of the author and do not necessarilyrepresent the views of the World Bank or any of its affiliated organizations. AGRICULTUREAND ECONOMIC REFORM IN SUB-SAHARANAFRICA Table of Contents Executive Summary vii Introduction 1 I. AGRICULTURE,ECONOMIC GROWTH, & POVERTYALLEVIATION 2 II. AGRICULTURE'SGROWTH LINKAGES 10 Ill. ECONOMIC REFORMAND AGRICULTURE 14 IV. EXCHANGERATE POLICY 21 V. FOOD MARKETING 37 VI. FERTILIZERPOLICY AND FERTILIZERDEVELOPMENT 57 VII. TECHNOLOGYFOR AFRICAN AGRICULTURE 70 Vil. RURAL FINANCE 85 IX. COUNTRY EXPERIENCE 95 Nigeria 95 Ghana 101 Cameroon 110 Ethiopia 116 C6te d'lvoire 120 Sudan 126 Zaire 130 Kenya 135 Uganda 145 Tanzania 151 Senegal 157 Niger 159 Guinea 161 Madagascar 163 Malawi 166 A cknowledgments T his report's biggest debt is to scores of authors of World Bank reports - Country Economic Memoranda, Sector Studies, Staff Appraisal Reports, and Project Completion Reports in par- ticular -cited in the footnotes and, for the most part, listed in the Bibliography. Ms. Bonni J. van Blarcom reviewed conditionality in adjustment operations up to 1991. Mr. Russell Lamb carried out econometric work to show the importance of a country's exchange rate for its agriculture.
    [Show full text]
  • Infections in Kenya: Environment, Resources and Culture
    International Journal of Sociology and Anthropology Vol. 2(4), pp. 55-65, April 2010 Available online http://www.academicjournals.org/ijsa ISSN 2006- 988x © 2010 Academic Journals Full Length Research Paper Human immunodeficiency virus and tuberculosis co- infections in Kenya: Environment, resources and culture Mario J. Azevedo 1*, Gwendolyn S. Prater 2 and Sandra C. Hayes 1 1Department of Epidemiology and Biostatistics, School of Health Sciences, Jackson State University, Jackson, Mississippi. 2School of Social Work and Department of Behavioral and Environmental Health, School of Health Sciences, Jackson State University, Jackson, Mississippi. Accepted 2 February, 2010 Between 2003 and 2007, out of 34.3 million Kenyans, over one million aged 15 and 49 years were HIV positive. In 2008, it was estimated that 1,500,000 Kenyans were living with HIV/AIDS. Approximately 85,000 Kenyans died from the disease. Mortality rates are expected to rise and perhaps peak at some point in the near future, as persons infected during the late 1990s, perhaps being treated with anti- retroviral drugs, reach the stage when their immune system turns dysfunctional. Tuberculosis is the leading cause of death among individuals with HIV/AIDS. In Kenya, the mortality rate due to tuberculosis is 133 deaths per 100,000. Yet, the prevalence rate of HIV/AIDS, aggravated by TB in the country, seems to have oscillated between 5.7 and 9% over the past five years (2004 – 2010). Based on primary data, including interviews with scientists in the country, and secondary sources gathered in situ and the US, this review of health in Kenya addresses three issues: The extent to which HIV/AIDS/TB co-infections exist in the country; government strategy to stamp out the crisis and the impact of cultural and historical factors.
    [Show full text]
  • Education and Poverty Correlates: a Case of Trans- Nzoia County, Kenya
    Vol. 7(7), pp. 142-148, September, 2015 DOI: 10.5897/IJEAPS2015.0403 Article Number: 4BB517655460 International Journal of Educational ISSN 2141-6656 Copyright © 2015 Administration and Policy Studies Author(s) retain the copyright of this article http://www.academicjournals.org/IJEAPS Full Length Research Paper Education and poverty correlates: A case of Trans- Nzoia County, Kenya Julius Maiyo Kibabii University College, Kenya. Received 14 April, 2015, Accepted 7 August, 2015 Education is widely accepted as the main backbone of growth and development of individuals and the nation. However, its achievement continues to elude many who are poverty stricken. Government of Kenya introduced free primary education in 2003 and tuition free secondary education in 2008. It is estimated that about 3 millions children are not enrolled in primary schools. For the children who enrolled in grade one, only between 46-48% can manage to complete the final grade and transition rate remained below 50%. The study was envisaged to look at interdependence between education and households’ poverty levels and its influence in internal efficiency of primary schools in Kenya. Descriptive research method which primary concerns with the present, past events and influences as they relate to the current conditions was employed .The study used survey research design. The sample size of the study was 468 respondents, comprising 360 household heads, 12 head teachers and 96 class teachers. Simple random and purposive sampling design was used. Four instruments were developed and used to collect data: Questionnaires for the households’ heads and class teachers, school data form and interviews. Data were analyzed with the help of SPSS computer programme (11.5).
    [Show full text]