Mapping Population & Climate Change: Malawi. Malawi - Unmet Need for Family Planning, 2010

Similar documents
Nepal - Unmet Need for Family Planning,

Maldives and Family Planning: An overview

Indonesia and Family Planning: An overview

SDG 2: Target 3.7: Indicators Definitions, Metadata, Trends, Differentials, and Challenges

Policy Brief. Family planning deciding whether and when to have children. For those who cannot afford

الحمد هلل رب العالمين والصالة والسالم علي محمد الصادق الوعد األمين اللهم أخرجنا من ظلمات الجهل والوهم إلى نور المعرفة والعلم..

Tajikistan Demographic and Health Survey Atlas of Key Indicators

Ethiopia Atlas of Key Demographic. and Health Indicators

FERTILITY AND FAMILY PLANNING TRENDS IN URBAN KENYA: A RESEARCH BRIEF

TRENDS AND DIFFERENTIALS IN FERTILITY AND FAMILY PLANNING INDICATORS IN JHARKHAND

FERTILITY AND FAMILY PLANNING TRENDS IN URBAN NIGERIA: A RESEARCH BRIEF

Trends in Modern Contraceptive Prevalence Rate among Currently Married Women in Uganda:

5.1. KNOWLEDGE OF CONTRACEPTIVE METHODS

Malawi. Population & Development Progress through Family Planning. By Dr. Chisale Mhango. Director, Reproductive Health Services Ministry of Health

41% HOUSEHOLD DECISIONMAKING AND CONTRACEPTIVE USE IN ZAMBIA. Research Brief. Despite Available Family Planning Services, Unmet Need Is High

Using the Bongaarts model in explaining fertility decline in Urban areas of Uganda. Lubaale Yovani Adulamu Moses 1. Joseph Barnes Kayizzi 2

Poverty, Child Mortality and Policy Options from DHS Surveys in Kenya: Jane Kabubo-Mariara Margaret Karienyeh Francis Mwangi

HEALTH. Sexual and Reproductive Health (SRH)

FP Conference, Speke Resort and Conference Center, Munyonyo, Uganda. Getu Degu Alene (PhD) University of Gondar, Gondar, Ethiopia

Senegal. Reproductive Health. at a. April Country Context. Senegal: MDG 5 Status

namibia Reproductive Health at a May 2011 Namibia: MDG 5 Status Country Context

Contraceptive use in urban Kenya: Recent trends and differentials set in the policy and program context

ETHIOPIA GLANCE. at a. April Country context. Ethiopia: MDG 5 status

CHAPTER THREE: PROJECTING FAMILY PLANNING AND DEMOGRAPHIC PARAMETERS UNDER ASSUMPTION OF REDUCTION IN UNMET NEED

UNINTENDED PREGNANCY BY THE NUMBERS

INTRODUCTION GEOGRAPHY, HISTORY, AND THE ECONOMY. Louis M. Magombo GEOGRAPHY

Family Planning and Reproductive Health Survey 2003

PMA2020: Progress & Opportunities for Advocacy AFP Partners Meeting & Gates Institute 15 th Anniversary Event

Table 1. Distribution of married women aged years using contraceptive methods, Indonesia, 2007 IDHS. Married women aged Number Percent

Malawi and MDG4: Early adopter, early achiever

Part I. Health-related Millennium Development Goals

zimbabwe at a May 2011 Country Context Zimbabwe: MDG 5 status

Population and Reproductive Health Challenges in Eastern and Southern Africa: Policy and Program Implications

Educate a Woman and Save a Nation: the Relationship Between Maternal Education and. Infant Mortality in sub-saharan Africa.

Yemen. Reproductive Health. at a. December Yemen: MDG 5 Status. Country Context

burkina faso Reproductive Health at a April 2011 Country Context Burkina Faso: MDG 5 Status

Introduction SUMMARY. MSI Case Studies. MSI s impact on fertility decline in Nepal JANUARY by Asma Balal

HIV prevalence and orphan household distribution in a rural Malawi district. Peter Fleming¹, Patrick Gerland², and Alexander Weinreb³

Monitoring MDG 5.B Indicators on Reproductive Health UN Population Division and UNFPA

PHILIPPINES GLANCE. at a. June Country Context. Philippines: MDG 5 Status

Gender Equality and Social Inclusion

The estimated incidence of abortion in Malawi

Understanding the Pattern of Contraceptive Discontinuation in India

Fertility and Family Planning in Africa: Call for Greater Equity Consciousness

Table of Contents... i List of tables... iii List of figures... v Preface... vii Acknowledgements... ix Executive Summary... xi 1. Introduction...

The Millennium Development Goals Report. asdf. Gender Chart UNITED NATIONS. Photo: Quoc Nguyen/ UNDP Picture This

Population and health trends in Zimbabwe: Trend analysis of the Zimbabwe demographic health surveys

Intra National Variations in Fertility Levels and Trend in Nigeria

Investing in Family Planning/ Childbirth Spacing Will Save Lives and Promote National Development

Kenya. Reproductive Health. at a. April Country Context. Kenya: MDG 5 Status

Ex post evaluation Indonesia

PMA2014/UGANDA-R1 SOI SNAPSHOT OF INDICATORS

Bill & Melinda Gates Institute for Population and Reproductive Health

Factors Influencing Contraceptive Use and Method Choice Among Married Women in Malawi

Contraceptive Trends in the Developing World: A Comparative Analysis from the Demographic and Health Surveys

Executive Board of the United Nations Development Programme, the United Nations Population Fund and the United Nations Office for Project Services

Indonesia Young Adult Reproductive Health Survey

Glossary. Glossary 349

angola Reproductive Health at a April 2011 Country Context Angola: MDG 5 Status

Policy Brief No. 09/ July 2013

PROGRESS OF FAMILY WELFARE PROGRAMMES IN ANDHRA PRADESH

East Asia Forum Economics, Politics and Public Policy in East Asia and the Pacific

Using Mobile Outreach Services to Expand Access to Contraception in Ethiopia

BENIN GLANCE. at a. April Country context. Benin: MDG 5 status

Assessing Trends in Inequalities in Maternal and Child Health and Health Care in Cambodia

Changing fertility preferences in urban and rural Senegal: patterns and determinants

Strategies for Achieving the Health Millennium Development Goals (MDGs) in Your Country

Executive Board of the United Nations Development Programme, the United Nations Population Fund and the United Nations Office for Project Services

Community Health Status Assessment

FP2020 CORE INDICATOR ESTIMATES UGANDA

Pay ATTENTION to Reproductive INTENTION:

Population Council. Extended Abstract Prepared for the 2016 Population Association of America (PAA) Annual Meetings Washington, DC

CAMBODIA GLANCE. at a. April Country Context. Cambodia: MDG 5 Status

Unmet Need for Contraceptives in Developing World Has Declined, But Remains High in Some Countries

Myanmar and Birth Spacing: An overview

Contraceptive Prevalence and Plans for Long Acting Methods. Bonus Makanani Johns Hopkins Project 1 st October 2012

FACT SHEET DELHI. District Level Household and DLHS - 3. International institute for population sciences (Deemed University) Mumbai

Situational Analysis of Equity in Access to Quality Health Care for Women and Children in Vietnam

CONTRACEPTIVES SAVE LIVES

Demographic Perspectives on Gender Inequality: A Comparative Study of the Provinces in Zambia

Demographic and. Health Survey. Key Findings Albania Demograpfic and Health Survey

Trends in Demographic and Reproductive Health Indicators in Nepal Further analysis of the 1996, 2001, and 2006 Demographic and Health Surveys Data

Abstract Background Aims Methods Results Conclusion: Key Words

Modelling the impact of poverty on contraceptive choices in. Indian states

mauritania Reproductive Health at a May 2011 Country Context Mauritania: MDG 5 status

FACTORS ASSOCIATED WITH CHOICE OF POST-ABORTION CONTRACEPTIVE IN ADDIS ABABA, ETHIOPIA. University of California, Berkeley, USA

SEXUAL AND REPRODUCTIVE HEALTH IN ACCRA, GHANA

Policy Brief. Beginning in the 1960s, Kenya s family planning programme was. Gaining Ground: Recouping the Lost Decade for Family Planning

National Family Health Survey-2. Bihar FAMILY PLANNING AND QUALITY OF CARE

Contraceptive. Ready Lessons II. What Can a Contraceptive Security Champion Do?

Trends and Differentials in Fertility and Family Planning Indicators of EAG States in India

DHS WORKING PAPERS. Changes in Contraceptive Use Dynamics in Egypt: Analysis of the 2008 and 2014 Demographic and Health Surveys

Situations of fertility stall in sub-saharan Africa

Key Indicators Report Jordan Population and Family Health Survey (JPFHS)

2003 Kenya Demographic and Health Survey (2003 KDHS) Youth in Kenya: Health and HIV

PROMOTING VASECTOMY SERVICES IN MALAWI

Liberia. Reproductive Health. at a. April Country Context. Liberia: MDG 5 Status

Millennium development goal on maternal health in Bangladesh: progress and prospects

zambia Reproductive Health at a May 2011 Country Context MDG Target 5A: Reduce by Three-quarters, between 1990 and 2015, the Maternal Mortality Ratio

Transcription:

Malawi - Unmet Need for Family Planning, 2010 Twenty-six percent of currently married women in Malawi have an unmet need for family planning. This represents a significant reduction from 1992, when 36 percent of married women reported an unmet need for family planning. Family planning needs are highest in Machinga and Nkhotakota and remain high among rural women (27 percent), women without an education (28 percent), and the poorest women (30 percent). Investing in health programs that meet needs for family planning could slow population growth, improve women's and families' health and well-being, and reduce vulnerability to climate change impacts. Malawi's Growth and Development Strategy recognizes the important role that access to reproductive health services plays in slowing population growth and promoting maternal health outcomes. Definition: Unmet need for family planning is determined in large household surveys. Based on a nationally representative sample, currently married women who do not wish to have a child in the next two years but are not using a contraceptive method are considered to have an unmet need for family planning. This includes women who wish to have no more children at any time. Surveys are conducted through the MEASURE DHS (Demographic and Health Surveys) project; for more information about its methodology, see: http://www.measuredhs.com/aboutsurveys/dhs/methodology.cfm The 2010 Malawi Demographic and Health Survey groups Nkhata Bay and Likoma together under one heading. Sources: National Statistical Office (NSO) [Malawi], and ORC Macro. 2011. Malawi Demographic and Health Survey 2010. Calverton, Maryland: NSO and ORC Macro. Government of Malawi. Malawi Growth and Development Strategy: From Poverty to Prosperity, 2006-2011.

Malawi - Contraceptive Prevalence Rate, 2010 The use of modern contraceptive methods in Malawi is six times what it was in 1992, growing from 7 percent of married women to 42 percent. The rate of increase between 2004 and 2010 was quite high, gaining 14 percentage points during that time period. The contraceptive prevalence rate is lowest in Mangochi, where only 27 percent of currently married women use a modern contraceptive method and women have, on average, 7children. Contraceptive prevalence among women with a secondary education is 11 percentage points higher than that of women with no education, and similar disparities exist between women in the wealthiest and poorest income groups. In recognition of the important role family planning can play in promoting women's and family's health and well-being and slowing population growth, the Malawi Growth and Development Strategy includes a medium term outcome of increasing the contraceptive prevalence rate to 40 percent. Definition: The current level of contraceptive use is determined in large household surveys and is a measure of actual contraceptive practice at the time of the survey. This measure refers to currently married women using modern methods of contraception. Modern methods include condoms, the contraceptive pill, intrauterine contraceptive device, injectables, implants, diaphragm, contraceptive foam and contraceptive jelly, lactational amenorrhea method, female sterilization, male sterilization, country-specific modern methods and respondent-mentioned other modern contraceptive methods. The 2010 Malawi Demographic and Health Survey groups Nkhata Bay and Likoma together under one heading. Sources: National Statistical Office (NSO) [Malawi], and ORC Macro. 2011. Malawi Demographic and Health Survey 2010. Calverton, Maryland: NSO and ORC Macro.

Government of Malawi. Malawi Growth and Development Strategy: From Poverty to Prosperity, 2006-2011.

Malawi - Fertility Rate, 2010 The total fertility rate in Malawi declined very slightly from an average of 6 children per woman in 2004 to 5.7 children per woman in 2010. National averages mask substantial differences in fertility among different groups. Rural women have on average 2.1 more children than urban women, women with no education have on average 3 more children than those with a secondary education, and women in the lowest wealth quintile have 3 more children than those in the wealthiest group. The Malawi Growth and Development Strategy (2006-2011) links reductions in high fertility with improved prospects for maternal health, reproductive health rights, and slower population growth. Definition: The total fertility rate is the total number of births a woman would have by the end of her childbearing period if she were to pass through those years bearing children at currently observed age-specific rates. The 2010 Malawi Demographic and Health Survey groups Nkhata Bay and Likoma together under one heading. Sources: National Statistical Office (NSO) [Malawi], and ORC Macro. 2011. Malawi Demographic and Health Survey 2010. Calverton, Maryland: NSO and ORC Macro. Government of Malawi. Malawi Growth and Development Strategy: From Poverty to Prosperity, 2006-2011.

Malawi - Climate Risk Factors

Climate-related disasters such as drought, flood, and landslides are a major source of risk, especially for Malawi's poorest and most vulnerable populations. Understanding where these risks occur in relation to each other and with growing populations will be critical in developing adaptation and development plans that will minimize vulnerability to changing climate conditions. Definitions: Landslide: The landslide data shows the propensity for a landslide or an avalanche to occur. The index of hazard risk is based on an a model developed by the Norwegian Geotechnical Institute (NGI) that incorporates slope, soil moisture, soil moisture conditions, precipitation, seismicity, temperature and elevation data. Drought: Frequency and distribution of droughts from 1980-2000. To identify droughts, researchers associated with the Center for Hazards and Risk Research compared the average monthly precipitation for the 20 year period to a standardized measure of precipitation deficit or surplus that accounts for seasonal variation in precipitation for the same time period. A drought is considered to have occurred when a monthly precipitation deficit was less than or equal to 50 percent of its long-term median value for three or more consecutive months. Deserts and dry periods are taken out of the dataset and are therefore not considered in the frequency or distribution of droughts. Flood: Frequency and distribution of floods from 1985-2003. Data from a global listing of extreme flood events was converted to a 2.5 by 2.5 minute grid cell. The number of events that fell within each grid cell was recorded to get a frequency of events per cell. Data Classification: Researchers associated with the Center for Hazards and Risk Research classified the global datasets of drought and flood frequencies into deciles which created 10 classes, each containing roughly equal number of grid cells. The landslide data was classified by researchers into areas ranked one through nine, with nine as the highest propensity for a landslide. Then,

they dropped anything with an index of four or below as they determined these risks to be negligible. To make the data surface compatible with the other hazard datasets, a one was added to the classes that remained (five through nine) and therefore the landslide data has a range of six through ten. The maps we have created for each risk factor individually group the data into low, moderate and high categories. The low category contains values one through three, moderate contains values four through seven, and the high category contains values eight through ten. The final climate risk map shows each of the factors on one map but only includes the data values considered to be moderate (four through seven) or high (eight through ten). Source: Landslide, Drought and Flood Frequency and Distribution Datasets, 2005. Palisades, NY: Center for Hazards and Risk Research, Columbia University.

Malawi - Historic and Projected Population Density by District 2010 2020 2030 With a growing population, population density in Malawi has increased dramatically over the past decades, and is expected to intensify by 2030. As Malawi's population continues to grow,

understanding where population density is likely to rapidly intensify and intersect with climate change risks such as flood, drought and landslides will be critical for effective adaption planning and disaster risk reduction. Definition: Historic figures for population density at the district level and total projected population at the district level are provided by the National Statistical Office of Malawi; PAI derived projected population density figures using National Statistical Office data. Please note that population density figures for Mwanza are inclusive of data for Neno. Sources: National Statistical Office of Malawi. 2008. Statistical Yearbook 2008. Zomba, Malawi: National Statistical Office. National Statistical Office of Malawi. 2008. 2008 Population and Housing Census. Zomba, Malawi: National Statistical Office.

Malawi - Proportion of Households with Access to Safe Water by District, 2009 Safe water is critical in promoting health and well-being. The proportion of Malawi's population using an improved drinking water source has made gains in recent decades (see graph on Proportion of the Population Using an Improved Drinking water Source). However, in many districts, particularly Kasungu and Dowa, households' access to safe water remains limited. As population density in these districts increases, and climate change brings further hydrological changes to Malawi, continued progress in meeting people's needs for sufficient safe water could become a growing challenge. Definition: Safe/improved water sources are boreholes (or communal standpipes), protected wells, and tap water (piped into dwelling unit or compound). Source: National Statistical Office, Agriculture Statistics Division, 2009. Welfare Monitoring Survey.