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Malawi’s Fourth Integrated Household Survey 2016-2017 & Integrated Household Panel Survey 2016: Data and documentation now available

Heather Moylan's picture
Malawi IHS4 Enumerator administering household questionnaire
using World Bank Survey Solutions
Photo credit: Heather Moylan, World Bank

The Malawi National Statistical Office (NSO), in collaboration with the World Bank’s Living Standards Measurement Study (LSMS), disseminated the findings from the Fourth Integrated Household Survey 2016/17 (IHS4), and the Integrated Household Panel Survey 2016 (IHPS), on November 22, 2017 in Lilongwe, Malawi. Both surveys were implemented under the World Bank Living Standards Measurement Study-Integrated Surveys on Agriculture (LSMS-ISA) initiative, with funding from the United States Agency for International Development (USAID).

The IHS4 is the fourth cross-sectional survey in the IHS series, and was fielded from April 2016 to April 2017. The IHS4 2016/17 collected information from a sample of 12,447 households, representative at the national-, urban/rural-, regional- and district-levels.

In parallel, the third (2016) round of the Integrated Household Panel Survey (IHPS) ran concurrently with the IHS4 fieldwork. The IHPS 2016 targeted a national sample of 1,989 households that were interviewed as part of the IHPS 2013, and that could be traced back to half of the 204 panel enumeration areas that were originally sampled as part of the Third Integrated Household Survey (IHS3) 2010/11.

The panel sample expanded each wave through the tracking of split-off individuals and the new households that they formed. The IHPS 2016 maintained a 4 percent household-level attrition rate (the same as 2013), while the sample expanded to 2,508 households. The low attrition rate was not a trivial accomplishment given only 54 percent of the IHPS 2016 households were within one kilometer of their 2010 location.

International Debt Statistics 2018 shows BRICs doubled bilateral lending commitments to low-income countries in 2016 to $84 billion

World Bank Data Team's picture
Also available in: العربية | Français | Español
The 2018 edition of International Debt Statistics (IDS) has just been published.

IDS 2018 presents statistics and analysis on the external debt and financial flows (debt and equity) of the world’s economies for 2016. It provides more than 200 time series indicators from 1970 to 2016 for most reporting countries. To access the report and related products you can:

This year’s edition is released less than 10 months after the 2016 reference period, making comprehensive debt statistics available faster than ever before. In addition to the data published in multiple formats online, IDS includes a concise analysis of the global debt landscape, which will be expanded on in a series of bulletins over the coming year.

Why monitor and analyze debt?

The core purpose of IDS is to measure the stocks and flows of debts in low- and middle-income countries that were borrowed from creditors outside the country. Broadly speaking, stocks of debt are the current liabilities that require payment of principal and/or interest to creditors outside the country. Flows of debt are new payments from, or repayments to, lenders.

These data are produced as part of the World Bank’s own work to monitor the creditworthiness of its clients and are widely used by others for analytical and operational purposes. Recurrent debt crises, including the global financial crisis of 2008, highlight the importance of measuring and monitoring external debt stocks and flows, and managing them sustainably. Here are three highlights from the analysis presented in IDS 2018:

Net financial inflows to low-and middle income countries grew, but IDA countries were left behind

In 2016, net financial flows into low- and middle-income countries grew to $773 billion - a more than three-fold increase over 2015 levels, but still lower than levels seen between 2012 and 2014.

However, this trend didn’t extend to the world’s poorest countries. Among the group of IDA-only countries, these flows fell 34% to $17.6 billion - their lowest level since 2011. This fall was driven by drops in inflows from bilateral and private creditors.

The Dirty Truth – Measuring Soil Health

Vini Vaid's picture
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The importance of soil health in agrarian societies is indisputable – soil health has a direct relationship with agricultural productivity and sustainability. Yet, its highly complex nature renders it much more challenging to measure than other agricultural inputs, such as fertilizers or pesticides. Household surveys, particularly those in low-income contexts where agriculture is the primary means of livelihood, have generally relied on subjective assessments of soil health – and for good reason. Subjective assessment is relatively inexpensive, and alternative methodological options have historically been prohibitively expensive. Recent advances in rapid low-cost technologies, namely spectral soil analysis, however, have increased the feasibility of integrating objective plot-level soil health measurement in household surveys.

This new Guidebook provides practical guidance for survey practitioners aiming to implement objective soil health measurement via spectral analysis in household and farm surveys, particularly in low-income smallholder farmer contexts. Two methodological experiments, in Ethiopia and Uganda, provide the foundation for this Guidebook. In each study, plot-level soil samples were collected following best-practice protocols and analyzed using wet chemistry and spectral analysis methods at ICRAF’s Soil-Plant Diagnostics Laboratory, in addition to a subjective module of soil health questions asked of the plot manager. The Guidebook offers (i) a comparison of subjective farmer assessments of soil health with laboratory testing, and (ii) step-by-step guidance on how to implement spectral soil analysis in a household- or farm-level survey, from questionnaire design to soil sample collection, labeling, and processing.

The Guidebook is the result of collaboration between the World Bank's Living Standards Measurement Study (LSMS) team, the World Agroforestry Centre, the Central Statistical Agency of Ethiopia, and the Uganda Bureau of Statistics.

For practical advice on household survey design, visit the LSMS Guidebooks page: http://go.worldbank.org/0ZOAP159L0

Counting calories: the data behind food insecurity and hunger

Irina I. Klytchnikova's picture

This blog is part of a series using data from World Development Indicators to explore progress towards the Sustainable Development Goals and their associated targets. The new Atlas of Sustainable Development Goals 2017, published in April 2017, and the SDG Dashboard provide in-depth analyses of all 17 goals.

 

As Agriculture Economists who work on advancing the food and agriculture agenda, SDG 2 articulates much of our work in the Sustainable Development agenda and illustrates how food and agriculture are intertwined with poverty reduction. Goal 2 seeks to “End hunger, achieve food security and improve nutrition, and promote sustainable agriculture.”

Without making progress on Goal 2, we can’t achieve the Bank’s twin goals of ending poverty and boosting shared prosperity.

But what does Goal 2 mean, exactly? On the surface, it might seem to be a matter of producing more food in a sustainable way. But a deeper dive into this SDG reveals that it is not quite that simple.

Improving how we measure progress in community biodiversity conservation projects in Mozambique

Davi Cordeiro Moreira's picture
Community Officials pre-testing Survey Solutions Application
during training session in Maputo Special Reserve. Photo by
Davi Moreira, World Bank M&E Specialist

What kind of information do you need to assess progress of community projects that aim to improve livelihoods and biodiversity conservation in remote Conservation Areas in Mozambique? More importantly, how do you efficiently collect this type of data and guarantee the level of consistency and quality needed to make strategic improvements in project implementation? 

These are the questions our team faced during our recently concluded Mid-Term Review (MTR) of the World Bank Conservation Areas Development Project (Mozbio)[1]. We learned that there was not more time to wait and by applying the free World Bank-designed Computer Assisted Personal Interviewing (CAPI) Platform Survey Solutions, we could improve data collection and get the Project’s monitoring and evaluation back on track.

The 5-year Mozbio project addresses some of the most pressing challenges to Conservation Areas (CAs) in Mozambique, which covers 25% of the country. Besides strengthening the legal and institutional framework for conservation and promoting nature-based tourism and infrastructure facilities, the cornerstone of the project is to improve livelihood alternatives to local communities that live in and around the CAs. These populations constitute some of Mozambique’s poorest and most vulnerable households. To address this, Mozbio finances small-scale community projects that equip communities with tools to sustainably manage natural resources, engage them in income generating activities and increase their contribution to biodiversity conservation.

Causes of preventable and premature deaths vary across the globe

Emi Suzuki's picture

This blog is part of a series using data from World Development Indicators to explore progress towards the Sustainable Development Goals and their associated targets. The new Atlas of Sustainable Development Goals 2017, published in April 2017, and the SDG Dashboard provide in-depth analyses of all 17 goals.

Communicable diseases cause more premature deaths in Sub-Saharan Africa than elsewhere in the world. But high rates of death through noncommunicable diseases are found in other regions as well. A higher number of health care professionals available to patients correlates with lower mortality before the age of 70, and, as newer drugs to prevent or treat disease come onto market, countries are seeing falls in the incidence of fatal diseases. Data from the World Bank’s World Development Indicators explores progress made towards the targets of Sustainable Development Goal 3, which promotes Good Health and Well-Being at all ages.

Sub-Saharan Africa bears the brunt of communicable diseases

AIDS, tuberculosis, and malaria together affect hundreds of millions of people worldwide, and putting an end to these diseases is a priority under Goal 3 (target 3.3). People in Sub-Saharan Africa are more likely than those in other regions to become infected: 2.2 of every 1,000 uninfected people ages 15-49 contracted HIV in 2016; there were 276 new cases of tuberculosis per 100,000 people in 2015; and the incidence of malaria was 234 cases per 1,000 persons at risk.

However, the region has shown improvements in tackling these diseases, the incidence of new cases of HIV has declined by nearly two-thirds since 2000, the incidence of new cases of malaria by nearly a half, and the incidence of new cases of tuberculosis by a fifth over the same period.

A crisis in learning: 9 charts from the 2018 World Development Report

Tariq Khokhar's picture
Also available in: Español | العربية | Français | 中文

There’s a crisis in learning. The quality and quantity of education vary widely within and across countries. Hundreds of millions of children around the world are growing up without even the most basic life skills.

The 2018 World Development Report draws on fields ranging from economics to neuroscience to explore this issue, and suggests improvements countries can make. You can get the full report here and to give you a flavor of what’s inside, I’ve pulled out a few of the charts and ideas that I found most striking while reading through it.

Each additional year of schooling raises earnings by 8-10 percent

 

The report sets out several arguments for the value of education. The clearest one for me? It’s a powerful tool for raising incomes. Each additional year of schooling raises an individual’s earnings by 8–10 percent, especially for women. This isn’t just because more able or better-connected people receive more education: “natural experiments” from a variety of countries - such as Honduras, Indonesia, Philippines, the U.S., and the U.K. - prove that schooling really does drive the increased earnings. More education is also linked with longer, healthier lives, and it has lasting benefits for individuals and society as a whole.

Deaths through childbirth are decreasing but some regions remain far from SDG targets

Emi Suzuki's picture

This blog is part of a series using data from World Development Indicators to explore progress towards the Sustainable Development Goals and their associated targets. The new Atlas of Sustainable Development Goals 2017, published in April 2017, and the SDG Dashboard provide in-depth analyses of all 17 goals.

Sustainable Development Goal 3—Good health and well-being—focuses its first two targets on the health of mothers, babies and young children. Target 3.1 aims to reduce the global maternal mortality ratio to fewer than 70 per 100,000 live births, while target 3.2 aims for neonatal mortality to be fewer than 12 per 1,000 live births, and under-5 mortality to be fewer than 25 per 1,000 births. And target 3.7 seeks to provide access to sexual and reproductive health to all, in order to reduce unwanted pregnancies and boost health during pregnancy. The World Bank’s World Development Indicators database includes data that allow us to track progress made by countries towards these 2030 goals.

Latest from the LSMS: New data from Tanzania and Nigeria, dynamics of wellbeing in Ethiopia & using non-standard units in data collection

Vini Vaid's picture

Message from Gero Carletto (Manager, LSMS)

It has been a busy few months for the LSMS team! Together with several Italian and African institutions, we recently launched the Partnership for Capacity Development in Household Surveys for Welfare Analysis. The initiative cements a long-term collaboration to train trainers from regional training institutions in Sub-Saharan Africa to harmonize survey data and promote the adoption of best practices in household surveys across the region (see below for more details). In addition, we have contributed to several international conferences and meetings, such as the Annual Bank Conference on Africa (featured below), where we witnessed the creative use of the data we helped collect and disseminate. Finally, LSMS was part of a documentary on the Public Broadcasting Service (PBS) called The Crowd & The Cloud. The fourth episode featured our very own Talip Kilic and the Uganda Bureau of Statistics, working hand in hand to produce household and farm-level panel data, which have been game changers in informing government policymaking and investment decisions, as well as in advancing the methodological frontier. We look forward to many more exciting quarters as we continue to work with our partners to improve the household survey landscape!

Using Non-Standard Units in Data Collection: The Latest in the LSMS Guidebook Series

Vini Vaid's picture
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Food consumption and agricultural production are two critical components for monitoring poverty and household well-being in low- and middle-income countries. Accurate measurement of both provides a better contextual understanding and contributes to more effective policy design.

At present, there is no standard methodology for collecting food quantities in national surveys. Often, respondents are required to estimate quantities in standard units (usually metric units), requiring respondents to convert into kilograms, for example, when many respondents are more comfortable reporting their food consumption and production using familiar “local” or “non-standard” units. But how many tomatoes are in one kilogram? How much does a local small tin or basket of maize flour weight? This conversion process is often an uncommon or abstract task for respondents and this added difficulty can introduce measurement error. Allowing respondents to report quantities directly in NSUs places less of a burden on respondents and may ultimately lead to better quality data by improving the accuracy of information provided.

This new Guidebook provides guidance for effectively including non-standard units (NSUs) into data-collection activities — from establishing the list of allowable NSUs to properly collecting conversion factors for the NSUs, with advice on how to incorporate all the components into data collection. An NSU-focused market survey is a critical part of preparing the conversion factors required for effectively using NSU data in analytical work. As such, the bulk of this Guidebook focuses on implementing the market survey and on calculating conversion factors to ensure the highest-quality data when using NSUs.

The Guidebook is the result of collaboration between the World Bank's Living Standards Measurement Study (LSMS) team, the Central Statistical Agency of Ethiopia, the National Bureau of Statistics in Nigeria, the National Statistics Office of Malawi, and the Uganda Bureau of Statistics.

For practical advice on household survey design, visit the LSMS Guidebooks page: http://go.worldbank.org/0ZOAP159L0

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