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Announcing Funding for 12 Development Data Innovation Projects

World Bank Data Team's picture
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We’re pleased to announce support for 12 projects which seek to improve the way development data are produced, managed, and used. They bring together diverse teams of collaborators from around the world, and are focused on solving challenges in low and lower middle-income countries in Sub-Saharan Africa, East Asia, Latin America, and South Asia.

Following the success of the first round of funding in 2016, in August 2017 we announced a $2.5M fund to support Collaborative Data Innovations for Sustainable Development. The World Bank’s Development Data group, together with the Global Partnership for Sustainable Development Data, called for ideas to improve the production, management, and use of data in the two thematic areas of “Leave No One Behind” and the environment. To ensure funding went to projects that solved real people’s problems, and built solutions that were context-specific and relevant to its audience, applicants were required to include the user, in most cases a government or public entity, in the project team. We were also looking for projects that have the potential to generate learning and knowledge that can be shared, adapted, and reused in other settings.

From predicting the movements of internally displaced populations in Somalia to speeding up post-disaster damage assessments in Nepal; and from detecting the armyworm invasive species in Malawi to supporting older people in Kenya and India to map and advocate for the better availability of public services; the 12 selected projects summarized below show how new partnerships, new methods, and new data sources can be integrated to really “put data to work” for development.

This initiative is supported by the World Bank’s Trust Fund for Statistical Capacity Building (TFSCB) with financing from the United Kingdom’s Department for International Development (DFID), the Government of Korea and the Department of Foreign Affairs and Trade of Ireland.

2018 Innovation Fund Recipients

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.

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

Lives on the line: reducing under-five child mortality rates in Africa

Dereje Ketema Wolde's picture
As countries all across Africa recognize International Day of the African Child today, I thought it would be a timely opportunity to blog about the progress of under-five child mortality rates over the past two decades.  But first, some data for us to understand the big picture:
  • On a global level, the rate of under-five child mortality has been cut in half, from 90 deaths per 1,000 live births in 1990 to 48 per 1,000 in 2012.  The estimated annual number of under-five deaths has fallen from 12.6 million to 6.6 million over the same period.
  • Since 1990, 216 million children worldwide have died before their fifth birthday — more than the current total population of Brazil, the world's fifth most populous country.
  • Disparities between children in the high-income and low-income countries have narrowed, but many gaps still remain.  Case in point: In Luxembourg, the under-five mortality rate is just 2 deaths per 1,000 live births; in Sierra Leone, it is 182 deaths per 1,000 births.

As we stand a year away from the Millennium Development Goal (MDG) 4 – which aims to reduce the global under-five child mortality rate by two-thirds between 1990 and 2015 – the pace of reduction would have needed to quadruple in 2013-2015 to achieve this goal, according to the United Nations Children's Fund's (UNICEF's) Committed to Child Survival: A Promised Renewed – Progress Report 2013.

A closer look at regional rates
Now let's take a look at the regional and country level data by viewing the World Development Indicators (WDI) 2014 and the indicator under-five mortality rate. The WDI also features a short progress report on MDG 4, which complements the detailed analysis of the World Bank Group's Global Monitoring Report.  This report uses the same methodology to assess whether countries are on track or off track to meet the 2015 targets.

Sub-Saharan Africa (SSA), where one in ten children die before the age of five, faces the biggest challenges in achieving MDG 4, followed by South Asia.  The SSA region reduced its child mortality rate by 45% during 1990 to 2012, the only region to reduce its under-five mortality rate by less than half during this time.  SSA also lags behind other regions in its pace of decline in the total number of under-five deaths.

Figure 1