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The World Region

World Bank engagement through the Expert Group on Refugee and IDP Statistics (EGRIS)

Emi Suzuki's picture
Better data, based on guidance from the Expert Group on Refugee and IDP Statistics, will help improve our support for the
displaced and their host communities.
Credit: Chisako Fukuda/World Bank

The record-high number of forcibly displaced people today—refugees, asylum seekers and internally displaced persons (IDPs)—has underscored the need to improve the way the global community addresses these situations. The new global compact on refugees adopted at the UN General Assembly on December 17th will guide these efforts.

It is widely acknowledged that statistics are critical to inform our response, but until recently, there were no global standards. Lacking international guidance, different institutions produced data on forced displacement without due coordination or transparency. Terminology was inconsistent, making data incomparable. Statistical capacity varies between countries, and refugees and asylum seekers were not included in national censuses or regular migration and population statistics.

Adding energy data to the World Bank’s data catalog

Tim Herzog's picture

The World Bank data catalog is an ongoing effort to provide a “one-stop shop” for all Bank data related to development. That aspiration took a big step forward this week as we completed the addition of datasets from the World Bank’s ENERGYDATA.INFO platform. ENERGYDATA.INFO continues to provide public access to hundreds of datasets from over a dozen organizations on topics such as solar and wind measurement data, electricity transmission networks and energy access. Users may now search for and download those same datasets from the Bank-wide catalog.

This integration is similar to previous efforts to provide greater data access. The World Bank’s finances platform, microdata platform, and open data catalog have all been added to the data catalog. For data users and Bank staff alike, there is a clear benefit in being able to search and access all available data from a single online location. The data catalog also provides a consistent approach to data licensing, so users can understand which datasets are open data, which are subject to third-party terms, and which may carry other restrictions.

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

Poverty lies beyond the unemployed

Isis Gaddis's picture
Also available in: العربية

Globally, poverty by employment status is highest among unpaid workers (22 percent), followed by self-employment, and those out of the labor force (both 12 percent). Not surprisingly, income-earning capacity (proxied by employment status) is strongly associated with poverty and gender. When disaggregated by sex, there are roughly equal numbers of men and women among the poor who are unemployed. There are more men than women among the self-employed poor. However, women make up most of the poor who are unpaid workers or out of the labor force. To learn more, read the recently released Poverty and Shared Prosperity report 2018, “Piecing Together the Poverty Puzzle.”

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).

Global Findex 2017 microdata available for download

Leora Klapper's picture
We're thrilled to release the 2017 Global Findex microdata, featuring individual survey responses from roughly 150,000 adults globally. Get it here, along with documentation including a variable list, questionnaire, and information on sampling procedures and data weighting.
 
Downloading the data is easy. At the microdata library, you'll see a screen that looks like this:
 

 

The Goods, the Bad, and the Ugly: Data and the food system

Julian Lampietti's picture
Photo Credit: Goodluz/Shutterstock.com

The business of agriculture and food is driven by data, making it the treasure trove of today’s agri-food system. Whether it’s today’s soil moisture, tomorrow’s weather forecast, or the price of rice in Riyadh, every bit of data can improve the efficiency with which the world’s 570 million farmers put food into the mouths of its soon-to-be eight billion consumers. Digital technologies are facilitating the flow of data through the food system, shrinking information asymmetries and fashioning new markets along the way. How can we ensure these new markets are appropriately contested, and the treasure does not end up in the hands of a couple of gunslingers? Is there a public sector’s role in generating and disseminating data that on the one hand encourages innovation and competition and on the other reduces opportunities for market capture? One place to look may be at the crossroads of internet and public goods.

We all remember from econ class that public goods can’t be efficiently allocated by markets because they are non-rival and non-excludable. There are precious few examples of true public goods – national defense, clean air, and lighthouses come to mind. That is, at least until Coase’s in “The Lighthouse in Economics” argued that lighthouses are excludable because it was possible to temporarily turn-off the lighthouse when a ship sailed by that didn’t pay their port fees.

From Discovery to Scale: Leveraging big data to improve development outcomes

Michael M. Lokshin's picture

In the last few years, the World Bank has expanded use of big data in more than 150 development projects globally, spanning a wide range of sectors and geographies. Solutions have ranged from using big data to monitor, evaluate, and improve projects—in energy, transport, and agriculture—to poverty diagnostics and understanding how well urban residents are connected to jobs. But, as Haishan Fu, Director of the Development Data Group at the World Bank, has said, “we are just beginning to realize the potential of the data revolution.”

These pilots have taught us that moving from discovery, to incubation, to scale requires a more coordinated and systematic approach. At the World Bank, we found it important to go beyond internal dialogue and assessments. We wanted to listen to and understand the perspectives of our partners in the development and data ecosystems—on current gaps, opportunities, as well as on the role(s) the World Bank should play in order to foster collective action.

Nearly 1 in 2 in the world lives under $5.50 a day

Dean Mitchell Jolliffe's picture
Also available in: Français | Español | العربية

Today, less than 10 percent of the world population lives in extreme poverty. Based on information about basic needs collected from 15 low-income countries, the World Bank defines the extreme poor as those living on less than $1.90 a day. However, because more people in poverty live in middle-income, rather than low-income, countries today, higher poverty lines have been introduced. These lines are $3.20 and $5.50 a day, which are more typical of poverty thresholds for middle-income countries.

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