Syndicate content


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

More than money: Counting poverty in multiple forms

Dhiraj Sharma's picture
Also available in: Español | العربية | Français

Consider two households that have the same level of consumption (or income) per person but they differ in the following ways. All the children in the first household go to school, while the children in the second household work to support the family. The first household obtains drinking water from a tap connected to the public distribution network, whereas the second household fetches water from a nearby stream. At night, the first home is illuminated with electricity, whereas the second home is dark. A lay person would easily recognize which of these two families is better off. Yet, traditional measures of household well-being would put the two households on par because conventionally, household well-being has been measured using consumption (or income).

Introducing the online guide to the World Development Indicators: A new way to discover data on development

World Bank Data Team's picture
Also available in: العربية | Español | 中文 | Français

The World Development Indicators (WDI) is the World Bank’s premier compilation of international statistics on global development. Drawing from officially recognized sources and including national, regional, and global estimates, the WDI provides access to almost 1,600 indicators for 217 economies, with some time series extending back more than 50 years. The database helps users—analysts, policymakers, academics, and all those curious about the state of the world—to find information related to all aspects of development, both current and historical.

An annual World Development Indicators report was available in print or PDF format until last year. This year, we introduce the World Development Indicators website: a new discovery tool and storytelling platform for our data which takes users behind the scenes with information about data coverage, curation, and methodologies. The goal is to provide a useful, easily accessible guide to the database and make it easy for users to discover what type of indicators are available, how they’re collected, and how they can be visualized to analyze development trends.

So, what can you do on the new World Development Indicators website?

1. Explore available indicators by theme

The indicators in the WDI are organized according to six thematic areas: Poverty and Inequality, People, Environment, Economy, States and Markets, and Global Links. Each thematic page provides an overview of the type of data available, a list of featured indicators, and information about widely used methodologies and current data challenges.

Behind Closed Doors: how traditional measures of poverty mask inequality inside the household and a new look at possible solutions

Caren Grown's picture

During the days coming up to, and after October 17, when many stories, numbers, and calls for action will mark the International Day for the Eradication of Poverty, we want to invite you to think for a second on what you imagine a poor household to be like. Is this a husband, wife, and children, or maybe an elderly couple? Are the children girls or boys? And more importantly, do all experience the same deprivations and challenges from the situation they live in?  In a recent blog post and paper, we showed that looking at who lives in poor homes—from gender differences to household composition more broadly—matters  to better understand and tackle poverty.

Globally, female and male poverty rates—defined as the share of women and men who live in poor households—are very similar (12.8 and 12.3 percent, respectively, based on 2013 data). Even in the two regions with the largest number of poor people (and highest poverty rates)—South Asia and Sub-Saharan Africa—gender differences in poverty rates are quite small. This is true for the regions, but also for individual countries, irrespective of their share of poor people. Why is that the case? As Chapter 5 of the 2018 Poverty and Shared Prosperity Report explains, our standard monetary poverty indicator is measured by household, not by individual. So, a person is classified as either poor or nonpoor according to the poverty status of the household in which she or he lives. This approach critically assumes everyone in the household shares equally in household consumption—be they a father, a young child, or a daughter-in-law.  By design, it thus masks differences in individual poverty within a household.

Notwithstanding this shortcoming, when we look a bit deeper the information we have today still shows visible gender differences in poverty rates. Take age, for example. We know that there are more poor children than poor adults, and while we do not find that poverty rates differ much between girls and boys at the early stages of life, stark differences appear between men and women during the peak productive and reproductive years.

Global poverty in 2015: PovcalNet’s new estimates and improved documentation

Christoph Lakner's picture

PovcalNet released new poverty estimates last week, indicating that in 2015, 10 percent of the global population were living on less than the international poverty line (IPL), currently set at US$1.90 per person per day in 2011 purchasing power parity (PPP). This estimate is based on a series of new data and revisions, including more than 1,600 household surveys from 164 countries, national accounts, population estimates, inflation data, and purchasing power parity data. The new poverty numbers were released on September 19 and will be part of “Poverty and Shared Prosperity 2018: Piecing Together the Poverty Puzzle,” a report to be published on October 17, End Poverty Day.

We’re also launching a Global Poverty Monitoring Technical Note Series which describes the data, methods and assumptions underpinning the World Bank’s global poverty estimates published in PovcalNet. With this update, we’re releasing four new notes in this series, including the “What’s New” note that will accompany each of the semi-annual updates to PovcalNet. The other notes cover different aspects of the price adjustments embedded in the global poverty estimates, such as adjustments for inflation and price differences across countries

Begun as a research project by Martin Ravallion, Shaohua Chen and others, PovcalNet has become the official source for monitoring the World Bank’s Twin Goals, the Millennium Development Goals (MDG), and now Sustainable Development Goal 1.1. PovcalNet is managed jointly by the Data and Research Groups within the World Bank’s Development Economics Division. It draws heavily upon a strong collaboration with the Poverty and Equity Global Practice, which is responsible for gathering and harmonizing the underlying survey data.

PovcalNet does much more than simply providing the most recent global poverty estimates. It’s a computational tool that allows users to estimate poverty rates for regions, sets of countries or individual countries, over time and at any poverty line. It also provides several distributional measures, such as the Gini index and income shares for the various decile groups.

The most recent PovcalNet data show us that over the last few decades, remarkable progress has been made in reducing extreme poverty. The world attained the first MDG target—cutting the 1990 poverty rate in half by 2015—six years ahead of schedule. With continued reductions, the global poverty rate, defined as the share of world’s population living below the IPL, has dropped from 35.9 percent in 1990 to 10 percent in 2015 – more than a 70 percent reduction.

In the last quarter century, global poverty dropped by more than 70 percent


The number of extremely poor people continues to rise in Sub-Saharan Africa

Divyanshi Wadhwa's picture
Also available in: Español | Français | العربية | 中文

Globally, extreme poverty has rapidly declined. New poverty estimates by the World Bank suggest that the number of extremely poor people—those who live on $1.90 a day or less—has fallen from 1.9 billion in 1990 to about 736 million in 2015.

However, the number of people living in extreme poverty is on the rise in Sub-Saharan Africa, comprising more than half of the extreme poor in 2015. Forecasts also indicate that by 2030, nearly 9 in 10 extremely poor people will live in Sub-Saharan Africa. Find more information and the latest poverty estimates at World Bank PovcalNet and Poverty & Equity Data portal.


New child and adolescent mortality estimates show remarkable progress, but 17,000 children under 15 still died every day in 2017

Emi Suzuki's picture

This blog is based on new mortality estimates released today by the United Nations Inter-agency Group for Child Mortality Estimation (UN IGME)

There has been remarkable progress in reducing mortality among children and young adolescents in the past several decades. Between 1990 and 2017, the global under-five mortality rate dropped by 58 percent from 93 deaths per 1,000 live births to 39 deaths per 1,000 live births. During the last 17 years, the reduction in under-five mortality rates accelerated to an average 4% annual reduction, compared to an average 1.9% annual reduction between 1990 and 2000. For children aged 5-14, mortality dropped by 53 percent, from 15 deaths to 7 deaths per 1,000 children.

Cured Into Destitution: the risk of financial catastrophe after surgery

Kathryn Wall's picture
Also available in: العربية | Español

Low-income countries face the highest risk of financial catastrophe due to surgery and have made the slowest progress

Five billion people—two thirds of the world’s population—lack access to safe, timely, and affordable surgical, anesthesia, and obstetric (SAO) care, as World Bank Group President Dr. Jim Yong Kim stated. Of the myriad barriers to accessing SAO care—safety, for example, or the lack of a well-trained workforce—one of the largest is financial. For patients, surgery can be very expensive. Not only can the financial burden of seeking surgical care be a formidable obstacle to those who need surgery, it can also have a devastating impact on those who are able to receive it. Over two billion people cannot afford surgery if they needed it today, and, of those who get surgery every year, an estimated 33 million of them will undergo financial hardship from its direct costs—81 million when the ancillary costs of care like transportation and food are included.

Why are people dying following surgery in Africa?

Bruce Biccard's picture

Surgery is a core component of health. It is a cost-effective intervention1 which is important for global health.2 However, to fully realize the health benefits of surgery, it needs to be safe. In the African continent—with a population of 1.2 billion people—it is estimated that approximately 95% do not have access to safe and affordable surgery. The Lancet Commission on Global Surgery has established six indicators to indicate the success of providing access to safe and affordable surgery.3 Four of them are included in the World Bank’s World Development Indicators (WDI) database. The perioperative mortality rate (POMR)—the number of in-hospital deaths from any cause in patients who have undergone a procedure done in an operating theatre, divided by the total number of procedures—is one of the indicators the success in achieving safe surgery, yet it is not included in the WDI as the data is sparse, including the one from Africa. The recent publication of the African Surgical Outcomes Study (ASOS) has cast an important light on the POMR in Africa.4

ASOS has shown that for patients in Africa fortunate enough to access surgical care, the patient outcomes following surgery are relatively poor. ASOS demonstrated that African surgical patients were twice as likely to die following surgery when compared to the global average, despite a similar complication rate to the global average (Table 1). This is despite the fact that surgical patients in Africa are relatively healthy when compared with similar international surgical patient cohorts,5 and one would thus expect them to do well postoperatively. Therefore, if the data from ASOS had been risk-adjusted for patient comorbidities, it is likely that the mortality following surgery in Africa is more than twice the global average. The results from ASOS are compelling as they provide comprehensive data on surgical outcomes in Africa, from 25 countries, 247 hospitals, and over 11,000 patients.

Table 1. Mortality, complications and ‘failure to rescue’ following surgery

Source: ISOS International Surgical Outcomes Study ASOS African Surgical Outcomes Study4
(elective surgery)
(elective surgery)
(elective and emergency surgery)
Mortality 207/44 814 (0.5%) 48/4792 (1.0%) 239/11193 (2.1%)
Complications 7508/44814 (16.8%) 624/4658 (13.4%) 1977/10885 (18.2%)
Death following complication
(failure to rescue)
207/7508 (2.8%) 30/620 (4.8%) 188/1970 (9.5%)