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No, 70% of the world’s poor aren’t women, but that doesn’t mean poverty isn’t sexist

Carolina Sanchez's picture
“Seventy percent of the world’s extreme poor are women”. If you’ve encountered this statistic before, please raise your hand. That is a lot of hands. And yet, this is what we call a ‘zombie statistic’: often quoted but rarely, if ever, presented with a source from which the number can be replicated.

Machine learning and the measurement of injustice

Daniel Mahler's picture

Machine learning methods are increasingly applied in the development policy arena. Among many recent policy applications, machine learning has been used to predict poverty, soil properties, and conflicts.

In a recent Policy Research Working Paper by Paolo Brunori, Paul Hufe and Daniel Mahler (BHM hereafter), machine learning methods are utilized to measure a popular understanding of distributional injustice – the amount of unequal opportunities individuals face. Equality of opportunity is an influential political ideal since it combines two powerful principles: individual responsibility and equality. In a world with equal opportunities, all individuals have the same chances to attain social positions and valuable outcomes. They are free to choose how to behave and they are held responsible for the consequences of their choices.

Game-changers and whistle-blowers: taxing wealth

Jim Brumby's picture
Also available in: Français 

High and rising income inequality is a serious concern in many countries, as highlighted in the IMF’s recent Fiscal Monitor. Wealth, however, is distributed even more unequally than income, as in the picture below.

Poor places. Rich places. Can geography explain it all?

Nga Thi Viet Nguyen's picture

“Tell me where you live, and I can predict how well you’ll do in life.”
Does welfare vary largely across space?
Although I don’t have a crystal ball, I do know for a fact that location is an excellent predictor of one’s welfare. Indeed, a child born in Togo today is expected to live nearly 20 years less than a child born in the United States. Moreover, this child will earn a tiny fraction—less than 3%—of what his or her American counterpart will earn.

The 2017 global poverty update from the World Bank

Francisco Ferreira's picture
This year’s global poverty update from the World Bank is a minor one. Until reference year 2008, the World Bank published new poverty estimates every three years, and between 2010 and 2013 we released new numbers every year (see here).

Beyond bright lights and skyscrapers, how can East Asia and Pacific cities expand opportunities for all?

Ede Ijjasz-Vasquez's picture
East Asia and Pacific Cities: Expanding Opportunities for the Poor

Cities in East Asia and the Pacific can be vibrant, exciting, and filled with opportunities. Yet we are always struck by their dichotomies: there are the bright lights, modern skyscrapers, air-conditioned malls, and the hustle and bustle of people coming and going to offices and shops.

And there are also neighborhoods with no safe drinking water, sanitation, or waste collection; where houses flood every time it rains; and where families spend long hours trying to earn enough to feed themselves and keep their children in school.  

With an estimated 250 million people living in slums across the East Asia and Pacific region, and much more urbanization to come, prioritizing the delivery of basic services and ensuring opportunities for the urban poor presents an urgent call for action.

Canada and the World Bank: Empowering women and girls is the best way to build a better world for all

Marie-Claude Bibeau's picture
A woman tends to plants in a nursery in Sri Lanka. © Lakshman Nadaraja/World Bank
A woman tends to plants in a nursery in Sri Lanka. © Lakshman Nadaraja/World Bank

We face global challenges on an unprecedented scale: climate change, natural disasters, poverty, water scarcity, food insecurity, global displacement, conflict and violence. These are not the kinds of challenges that will go away on their own—they feed off one another and flourish. The world is responding with the Sustainable Development Goals (SDG), which lay out a road map to building a more inclusive, peaceful and prosperous world—a better world.

What Studies in Spatial Development Show in Ethiopia-Part III

Michael Geiger's picture
Source: World Bank visualization based on data from NOAA’s VIIRS Satellite.
In Part III of our three-part blog series on our study on spatial distribution and its implications for inclusiveness development in Ethiopia over the next five years, we will broadly describe four overarching policy solutions to address spatial inequalities in development in Ethiopia.

What Studies in Spatial Development Show in Ethiopia-Part II

Priyanka Kanth's picture
Source: World Bank visualization based on data from various UN agencies

In Part I of our blog —based on a background note we wrote for the World Bank’s 2017–2022 Country Partnership Framework for Ethiopia—we presented our key findings on the spatial or regional distribution of poverty and child malnutrition in Ethiopia.

In Part II of our blog, we look at changes in road density over the ten years from 2006 to 2016, and in nightlights in six cities over four years from 2012 to 2016.

What Studies in Spatial Development Show in Ethiopia-Part I

Michael Geiger's picture
Malnutrition in Ethiopia: distribution of stunted children
The Country Partnership Framework (CPF) for the coming five years in Ethiopia, approved by the World Bank board in June, features a “spatial lens” for development activities. This lens was developed in a background note we wrote evaluating spatial disparities and their related challenges. In it, we looked at the policy framework put forward by the 2009 World Development Report “Reshaping Economic Geography,” and combined it with literature on pro-poor growth. Together, these have allowed us to put forward policy solutions Ethiopia could adop