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Obstacles to development: what data are available on fragility, conflict and violence?

Edie Purdie's picture
Also available in: العربية | Español | Français

This is part of a series of blogs focused on the Sustainable Development Goals and data from the 2016 Edition of World Development Indicators.

Over half a million people were killed by intentional homicide in 2012, while in 2014 there were more than one hundred thousand battle-related deaths. Episodes of such violence and unrest can reverse development efforts and rapidly dismantle achievements built over a long time, along social, political economy, and physical dimensions.

Can we quantify learning globally to measure progress on SDG 4?

Husein Abdul-Hamid's picture

This is a companion blog to the series of blogs from the 2016 Edition of World Development Indicators. This blog draws on data from the World Bank’s EdStats database.

Many countries are struggling to improve national learning averages in core subjects such as reading, mathematics and science. While the majority of students reach the lowest international benchmark level in core subjects by the age of 14 or 15, a significant proportion do not. For those that fail, they are unlikely to be able to master these skills by the end of their schooling. This will impact on their ability to join the labor force and have productive jobs. Sustainable Development Goal 4 looks to “ensure inclusive and quality education and promote lifelong learning opportunities for all” in an attempt to widen the talents of a country’s future workforce and set the stage for increased economic growth. Education assessments, while not wholly comparable, shed light on countries’ achievements or gaps in the provision of a high quality and effective education system.
 

Chart: The World's Youngest Populations Are in Africa

Tariq Khokhar's picture
Also available in: Français | العربية | 中文

A third of the world’s population is under 20 years old. But some countries are younger than others. In around 40 African countries, over 50% the population is under 20. By contrast, in 30 richer countries, less than 20% of the population is under 20.

New country classifications by income level

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

Each year on July 1, the analytical classification of the world's economies based on estimates of gross national income (GNI) per capita for the previous year is revised. As of 1 July 2016, low-income economies are defined as those with a GNI per capita, calculated using the World Bank Atlas method, of $1,025 or less in 2015; lower middle-income economies are those with a GNI per capita between $1,026 and $4,035; upper middle-income economies are those with a GNI per capita between $4,036 and $12,475; high-income economies are those with a GNI per capita of $12,476 or more. The updated GNI per capita estimates are also used as input to the World Bank's operational guidelines that determines lending eligibility.

Changes in classification

The country and lending groups page provides a complete list of economies classified by income, region, and lending status. The classification tables include all World Bank members, plus all other economies with populations of more than 30,000. Please note, regions include economies at all income levels. The term country, used interchangeably with economy, does not imply political independence but refers to any territory for which authorities report separate social or economic statistics. Click here for information about how the World Bank classifies countries. The updated World Development Indicators database, GNI per capita data, and income-level aggregations will be available at data.worldbank.org from Tuesday July 5th.

Below you will find the list of countries with new income groups.

Economy Old group New group
Cambodia Low Lower middle
Equatorial Guinea High Upper middle
Georgia Lower middle Upper middle
Guyana Lower middle Upper middle
Mongolia Upper middle Lower middle
Russian Federation High Upper middle
Senegal Lower middle Low
Tonga Upper middle Lower middle
Tunisia Upper middle Lower middle
Venezuela, RB High Upper middle

What does it mean to “eradicate extreme poverty” and “halve national poverty” by 2030?

Umar Serajuddin's picture

This is part of a series of blogs focused on the Sustainable Development Goals and data from the 2016 Edition of World Development Indicators.

Sustainable Development Goal 1 is to “end poverty in all its forms everywhere” and has two specific poverty reduction targets. One target (SDG 1.1) talks of eradicating extreme poverty by 2030, building on a globally comparable notion of extreme poverty. Extreme poverty fell from 37 percent to 13 percent between 1990 and 2012; and based on national growth rates over the past 10 years, the global extreme poverty rate is estimated to be below 10 percent in 2015, a drop of more than two-thirds since 1990.

This post briefly explains how extreme poverty is measured and makes five main points:

  • A large number of people have moved out of poverty since 1990, and impressively, even though the world’s population grew by 2 billion, there are over a billion fewer poor people.
  • There are many countries with relatively low poverty rates that still have large numbers of the globally extreme poor living there (e.g. China, India).
  • At the same time, there are a large number of countries with stubbornly high poverty rates where relatively small numbers of the world’s extremely poor live (e.g Haiti, Uganda).
  • Since the SDGs focus on “no one left behind”, when looking at poverty across the world, both rates and numbers matter.
  • SDG target 1.2 aims to halve national poverty rates in all its dimensions between 2015 and 2030 – as it’s based on country-specific understanding of poverty (which often differ) it’s relevant for all countries, rich and poor alike.

Boosting demand for open aid data: lessons from Kenya’s e-ProMIS

Daniel Nogueira-Budny's picture

One journalist used it as a data source for a story on solar energy in Makueni County. Another accessed the data for inclusion in a piece on sanitary napkin distribution in East Pokot. Development partners reported relying on the data to coordinate specific activities in the Central Highlands of Kenya. And this is to say nothing of the government users of the data managed by the Electronic Project Monitoring Information System for the Government of Kenya (e-ProMIS), Kenya’s automated information management system on development projects funded by both domestic and foreign resources.
 

 

Swedish firms provide training and consider an inadequately educated workforce as the major obstacle to their operations

Silvia Muzi's picture
The private sector is a critical driver of job creation and economic growth. However, several factors can undermine private enterprise and, if left unresolved, may blunt growth. Through rigorous face-to-face interviews with managers and owners of private firms, the World Bank Group’s Enterprise Surveys benchmark the business environment in countries, based on the direct experiences of firms.
 
This blog is based on the Sweden Enterprise Survey (ES), which covered 600 firms across 4 regions and 6 business sectors.


Gender equality is one of the cornerstones of modern Swedish society. In the workplace, however, women are still underrepresented at the upper levels of corporate responsibility and decision-making, especially in the private sector. While women constitute more than one-third of the country’s private sector workforce, they account for only 23% of all managers—with an even smaller percentage of top managers. In 2013, when the Sweden Enterprise Survey was conducted, only 12% of firms in Sweden were led by a top woman manager.
 

Chart: Richer Countries Score Better on Logistics

Erin Scronce's picture
Also available in: 中文 | Español | العربية

Global Data Lab: a resource for subnational development indicators from household surveys

Jeroen Smits's picture

This is a guest blog written by Jeroen Smits of the Global Data Lab, an initiative hosted by the Nijmegen Center for Economics (NiCE) at Radboud University in the Netherlands.  

Disaggregation of indicators at the subnational level is one of the key elements to effectively monitor the Sustainable Development Goals (SDGs). At the same time, this is a great challenge, as in the case for many countries, only indicators at the national level are available.
 
This is particularly the case for poor countries, where administrative systems are less equipped and capable to generate reliable and representative information. Strengthening those systems is the preferred solution, but that takes time and does not produce the indicators for earlier years required for tracing developments over time.

Reducing inequality by promoting shared prosperity

Nobuo Yoshida's picture

This is part of a series of blogs focused on the Sustainable Development Goals and data from the 2016 Edition of World Development Indicators.

In more than half the countries with data, the poorest 40 percent are achieving faster growth

Sustainable Development Goal target 10.1 aims to progressively achieve, by 2030, sustained income growth among the poorest 40 percent of the population at a rate higher than the national average in every country. This echoes the World Bank’s goal of promoting shared prosperity, although the World Bank does not set a specific target for each country but aims to foster income growth among the poorest 40 percent in every country.

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