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Africa

Exploring youth’s role and engagement in African rural economies

Jerome Bossuet's picture
A boy at work in a maize field, Ethiopia.  Photo credit: C. Robinson/CIMMYT

How do young rural Africans engage in the rural economy? How important is farming relative to non-farm activities and the income of young rural Africans? What social, spatial and policy factors explain different patterns of engagement? These questions are at the heart of an interdisciplinary research project, funded by IFAD, that seeks to provide a stronger evidence base for policy and for the growing number of programs in Africa that want to “invest in youth.”

One component of the Challenges and Opportunities for Rural Youth Employment in Sub-Saharan Africa project, led by the Institute of Development Studies (IDS), exploits data from the Living Standard Measurement Study - Integrated Surveys on Agriculture (LSMS-ISA) to develop a more detailed picture of young people’s economic activities. These household survey data cover eight countries in Sub-Saharan Africa, are taken at regular intervals, and in most cases follow the same households and individuals through time. While the LSMS-ISA are not specialized youth surveys and therefore may not cover all facets of youth livelihoods and wellbeing in detail, they provide valuable knowledge about the evolving patterns of social and economic characteristics of rural African youth and their households.

Moving towards gender equality: A new index looks at legal reforms to help women’s economic inclusion

Sarah Iqbal's picture
Also available in: العربية | Español | Français

Do you think the world is becoming more equal for women at work? The recently published Women, Business and the Law 2019: A Decade of Reform gives us some insight. While achieving gender equality requires a broad range of efforts over time, the study focuses on the law as an important first step to providing an objective measure of how specific regulations affect women’s incentives to participate in economic activity.

What is captured in the Women, Business and the Law index?

The study introduces a new index structured around eight indicators that cover different stages of a woman’s working life, which have significant implications for the economic standing of women: Going Places, Starting a Job, Getting Paid, Getting Married, Having Children, Running a Business, Managing Assets and Getting a Pension.

8 Indicators that Measure How Laws Affect Women Through Their Working Lives

Source: Women, Business and the Law 2019: A Decade of Reform

For instance, if a woman cannot leave her home without permission can she effectively look for a job or go on an interview? Even if she is hired, will she need to quit if she gets married or has children? Will she have to move to a lower paying job because she must balance work with caring for her family?

New Mali survey data now available!

Marco Tiberti's picture
Photo © Dominic Chavez/World Bank

The second edition of the Enquête Agricole de Conjoncture Intégrée aux Conditions de Vie des Ménages (EAC-I 17)—a nationally representative household survey covering a range of topics including agriculture, demography, education, food security, labor, livestock, savings, shocks—is now available.

For this survey, 8,390 households were visited twice each between 2017 and 2018, during post-planting and post-harvest periods of the agricultural season. Particular attention was paid to the measurement of agricultural income, a long-sought goal of the Ministry of Agriculture.

Overall findings:

  • Agriculture: 70% of households do not use improved seed varieties or phytosanitary products, and 44% of agricultural households use inorganic fertilizers.
  • Credit: The primary reasons for taking out loans are, 1) to buy farm inputs, and 2) to help meet household consumption requirements.
  • Education: There is a large educational gap between urban and rural populations. Around 75% of individuals aged 15–39 years are uneducated in rural areas, while only 29% are, in urban areas.
  • Employment: Agriculture is the greatest source of employment in rural areas. Over 96 % of individuals aged 15–39 years are in fact employed in agriculture.
  • Income: Crop production is by far the most important source of income, accounting for almost 50% of total income, followed by transfers (18%), and livestock and non-agricultural wages (12%).
  • Livestock: Livestock are mainly kept for their income-generating by-products and their ability to work the fields.
  • Labor: Household labor represents 92% of total labor farm labor.

Improving the pathway from school to STEM careers for girls and women

Eliana Rubiano-Matulevich's picture
Also available in: العربية | Español

The launch of the Human Capital Project has galvanized global action to close human capital gaps, and has highlighted the importance of investments in the knowledge, skills, and health that people accumulate throughout their lives, to realize their potential as productive members of society.

Improving both the quantity and quality of education is pivotal to empowering young people to fulfill their potential. Science, Technology, Engineering, and Mathematics (STEM) education is critical not only for fulfilling the needs of the future workforce, but also for producing researchers and innovators who can help to solve intractable challenges.

The underrepresentation of women and girls in STEM gets a lot of attention, but the data on access to, and quality of, education shows that the story is more nuanced.

At primary school level globally, there is gender parity in both enrollment and completion–a remarkable achievement of recent times. Gender gaps emerge in a number of low-income countries, mostly in Sub-Saharan Africa, and in some Latin American countries there are ‘reverse’ gender gaps (with boys less likely to attend or complete primary school). Overall, gender gaps (where they exist) are modest in comparison to the gaps between rich and low-income countries.

When it comes to academic performance, girls often do as well as, or better than, boys in science and mathematics.

In primary schools, there are no gender differences in science achievement in more than half of the 47 countries where performance is measured (Figure 1). Girls score higher than boys in 26 percent of the countries. The difference in achievement is almost three-times higher when girls score more than boys compared to when boys score more than girls. Results for mathematics achievement are similar. There are no gender differences in about half of the countries with data, but boys score better than girls in 37 percent of the countries.

Figure 1: Primary-school girls perform as well as boys in science and mathematics

Source: TIMSS 2015 Assessment Frameworks. Data for 4th graders in 47 countries. Box plots show the first quartile, median and third quartile of the test scores. The whiskers correspond to the minimum and maximum scores. Outliers are represented by a dot.

What’s an ambitious but realistic target for human capital progress?

Zelalem Yilma Debebe's picture

Globally, 56 percent of children live in countries with Human Capital Index (HCI) scores below 0.5. As these countries gear up to improve their human capital outcomes, it is vital to set a target that is ambitious enough to prompt action and realistic enough to be achieved. One way to get at this is to examine the historical rate of progress that countries demonstrated to be possible.

Using time-series data between 2000 and 2017, we estimated countries' progress in the health components of HCI (fraction of children not stunted, child survival and adult survival) using a non-linear regression model. [1] Our measure of progress is the fraction of gap to the frontier that is eliminated every year- the frontier being 100 percent child and adult survival, and no stunting.,[2]

We address the following two questions:

  1. What is the typical progress in the health components of HCI observed globally?

7 data innovation projects win funding to tackle local challenges

World Bank Data Team's picture

How can data be used to improve disease outbreak warning, urban planning, air quality, or agricultural production? Seven winning projects, which will receive support from the third round of funding for collaborative data innovation projects, do just that and more.

Following the success of the first round of funding in 2017 and the second round of funding in 2018 the World Bank’s Development Data Group and the Global Partnership for Sustainable Development Data launched the Collaborative Data Innovations for Sustainable Development Fund’s third round in June 2018.

This round called for ideas that had an established proof of concept that benefited local decision-making. We were looking for projects that fostered synergies, and collaborations that took advantage of the relative strengths and responsibilities of official and non-official actors in the data ecosystem.

Half of the world’s poor live in just 5 countries

Roy Katayama's picture
Also available in: Español | Français | العربية

Of the world’s 736 million extreme poor in 2015, 368 million—half of the total—lived in just 5 countries. The 5 countries with the highest number of extreme poor are (in descending order): India, Nigeria, Democratic Republic of Congo, Ethiopia, and Bangladesh. They also happen to be the most populous countries of South Asia and Sub-Saharan Africa, the two regions that together account for 85 percent (629 million) of the world’s poor. Therefore, to make significant continued progress towards the global target of reducing extreme poverty (those living on less than $1.90 a day) to less than 3 percent by 2030, large reductions in poverty in these five countries will be crucial.

Women and migration: Exploring the data

Eliana Rubiano-Matulevich's picture

International Migrants Day is a call to disseminate information on international migration and look toward further understanding its intersection with economic growth and socioeconomic wellbeing. Here we draw on data from the World Bank Gender Data Portal to highlight four big facts about women AND international migration. We focus on the “international migrant stock” which is the number of people born in a country other than that in which they live. Women, men, boys and girls experience migration differently. Accurate and timely sex-disaggregated data on international migration is critical for uncovering the specific needs and vulnerabilities of women and men and for shaping migration policy.

Globally, women are on the move: they comprise slightly less than half of all international, global migrants. In fact, the share of women among global, international migrants has only fallen slightly during the last three decades, from 49 percent in 1990 to 47 percent in 2017.

Shared Prosperity: A challenging but important goal to monitor

Judy Yang's picture

Shared prosperity is one of the World Bank Group’s Twin Goals, introduced in 2013. Progress toward this goal is monitored through an indicator that measures the annualized growth rate in average household per capita income or consumption among the poorest 40 percent of the population in each country (the bottom 40), where the bottom 40 are determined by their rank in household per capita income or consumption. Chapter 2 of the 2018 Poverty & Shared Prosperity Report provides an update on the recent mixed progress on shared prosperity around the world in about 2010-15.

The shared prosperity indicator was proposed as a means to shine a constant light on the poorest segments of the population in every country, irrespective of their level of development. Shared prosperity has no target or finish line, because the aim is to continuously improve well-being. In good times and in bad, in low and high-income economies alike, the bottom 40 percent of the population in each nation would be monitored. Tracking the bottom 40’s absolute growth as well as their growth relative to the mean is a way to remind us to always consider distributional impacts and strive for equitable outcomes.

An important but challenging goal to monitor

Despite its importance and universal relevance, shared prosperity is more challenging to monitor than global poverty. While one household survey is sufficient to calculate poverty, shared prosperity measurement requires two recent comparable surveys.

The implication of this stronger data requirement is that 91 out of the 164 economies with an international poverty rate measured in PovcalNet are included in the 6th edition of the Global Database of Shared Prosperity (GDSP).

Mapping for sustainable development: The Open Data for Resilience Mapathon

Lorenzo Piccio's picture

On Wednesday, November 14, we joined more than 170 volunteers at the World Bank’s Washington, D.C. headquarters to draw little red boxes on a map of Alajo—a small town in the coastal metropolis of Accra, Ghana.

Some might find tracing a map of a city 8,500 kilometers away to be a surprising way to spend an afternoon, but there are good reasons for it. The boxes represented buildings, and they will go on to become invaluable geospatial data that will help the residents of Accra prepare for and respond to flood risk. Home to over two million people, Ghana’s capital city is highly vulnerable to flooding. In 2015, torrential rainfall left much of the city underwater—affecting 53,000 people and causing an estimated US$100 million in damages.

In just a little over two hours, the volunteers made over 3,000 edits to the map of Alajo, complementing the work of local teams in Ghana that are leading data collection efforts in the field. Once validated by more experienced mappers, the data collected will help guide improvements to Accra’s solid waste disposal management system, and also inform the upgrading of settlements vulnerable to flooding.

Open Cities Africa: Collaborative mapping to build resilient societies

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