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#opendata

Machine-readable open data: how it’s applicable to developing countries

Audrey Ariss's picture

Where should telecom providers place their towers and what frequencies should they use?

How can governments best calculate commodity imports to ensure food security?

How can communities better manage areas at risks of floods?

These are just some of the questions that organizations around the world try to answer by using open government data — free, publicly available data that anyone can access and use, without restrictions. Yet around the world, much government data is yet to be made available, and still less in machine-readable [1]formats. In many low and lower-middle income countries, finding and using open data is often challenging. It may take a complicated request process to get data from the government, and the data may come in the form of paper-based documents that are very hard to analyze. A new study looks to better understand how organizations in low and lower-middle income countries utilize machine-readable open data.

In producing the study, the Center for Open Data Enterprise, supported by the World Bank, interviewed dozens of businesses and nonprofit organizations in 20 countries. The organizations were identified through the Open Data Impact Map, a public database of organizations that use open data around the world, and a resource of the Open Data for Development (OD4D) Network. Over 50 use cases were developed as part of this study, each an example of open data use in a low or lower-middle income country.


 

Meet four women leading the drive for open data in Africa

David Mariano's picture

Editor’s note: This is a guest blog from Jeni Tennison, CEO at the Open Data Institute. This article was first published by This is Africa on 17th January 2017​.

 
Nkechi Okwuone

Across Africa, innovators are using open data to gain greater insight into local issues, and create new public services. From government open data platforms to startup accelerator programmes, open data is increasingly recognised as a tool for tackling challenges across a range of sectors including health, education and agriculture.

This autumn, in six cities across South Africa the Responsive Cities Challenge encouraged designers and entrepreneurs to use open data to develop solutions that will improve local government services. Meanwhile, in Burkina Faso, the CartEau project is using open data to map safe drinking water points and latrines across the country for the first time. These examples show how open data is a powerful vehicle for addressing complex problems.

Increasing digital connectivity is important for economic growth, education and democratic participation but the equalising force of the Web is only meaningful when everyone is included in the digital sphere. According to the Web Foundation, women face disproportionate barriers to access, with poor women in urban areas in 10 developing countries they looked at 50% less likely to be connected to the Internet than men in the same age group.

Open data – data anyone can access, use or share – is transformative infrastructure for a digital economy that is consistently innovating and bringing the benefits of the Web to society. Open data often goes hand in hand with open working cultures and open business practices. While this culture lends itself to diversity, it is important that those who are involved in open data make sure it addresses everyone's needs. It is therefore encouraging to see that open data initiatives in African countries are being led by women.

Non-tradable sector wages track high-skilled tradable sector wages

Oscar Calvo-González's picture
Also available in: Español | Portuguese

Recent data on hourly wages in Latin America and the Caribbean (LAC) reveal that Latin Americans working in the non-tradable sector (as in construction, transportation, hotels, or education) earn much more than workers in low-skill tradable sectors such as agriculture or low-tech manufacturing, and closer to high-skill workers in the tradable sector such as high-tech manufacturing or finance. Despite slight variations across countries, in 11 out of 17 countries studied, the difference between wages in low-skill tradable and non-tradable sectors has grown over the last ten years.[1] In most of these countries, hourly wages display a distinct trend: positive growth for high-skill tradable and non-tradable wages, and stagnating, or even declining for low-skill tradable wages.
 

Graph showing trends in non-tradable wages in Latin America

Source: World Bank's LAC Equity Lab
 

How level is the playing field between countries in Latin America and the Caribbean?

Oscar Calvo-González's picture
Also available in: Español | Portuguese

In less than a generation the Latin America and the Caribbean (LAC) region has made great progress in expanding the basic public services that are necessary for children to succeed later in life. The skills, knowledge and health accumulated by individuals by the time they reach adulthood are essential to get jobs, accelerate economic mobility, and reduce inequality in the long-run. The progress observed in LAC ranges from increased access to healthcare and schools to running water and electricity. But progress has also been uneven, both across countries and for different types of basic services.

Today, the playing field in Latin America is most level in access to electricity, where we have seen gaps in coverage narrow the most. Figure 1 below shows how the typical performance in the region (the median) compares with the country in the region with the highest level of coverage (labeled “best in class”) in three basic services for children. The focus on children makes it possible to determine that any difference in access would be mostly due to circumstances out of their control. In the case of access to electricity the regional median has not only converged towards the best performing country but it has now reached a coverage of 99 percent.

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.
 

 

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.

The all-new Open Data website is here

Tim Herzog's picture
The time has come to bid a fond farewell to the open data website that has served us well for almost six years. Next week we will launch the most significant upgrade to the World Bank’s Open Data website since its initial debut in 2010. We first announced this upgrade when we launched the site as a public beta a few months ago.

Children nearly twice more likely to be poor than adults in Latin America

Oscar Calvo-González's picture
Also available in: Español | Portuguese

Childhood poverty in Latin America has declined steadily but remains much higher than poverty among adults. In 2014 poverty among children stood at 36 percent, almost twice the rate for adults (19 percent - see briefing note). The chart below shows that poverty has decreased for both adults and children, but a closer look at the data reveals that childhood poverty has been declining at a slower pace than among adults.
 

European countries making clear progress with Open Data

Tariq Khokhar's picture
Editor’s note: This is a guest blog from Margriet Nieuwenhuis, Eva van Steenbergen and Wendy Carrara on behalf of the European Data Portal. The indicator “Open Data readiness” mentioned in the analysis below is unrelated to the Open Data Readiness Assessment tool developed by the World Bank.
 
The public sector is providing increasing amounts of Open (Government) Data free of charge. Open Data refers to the information collected, produced or paid for by public bodies and can be freely used, modified and shared by anyone for any purpose. In Europe, the maturity of Open Data varies between the countries, as recent research shows. In 2015, the European Data Portal team conducted an assessment of where European countries stood with regard to Open Data. The countries included are the EU Member States (28 countries in total) plus Iceland, Liechtenstein, Norway and Switzerland – further on referred to as the EU28+ countries.
 
Two key indicators have been selected to measure Open Data maturity; Open Data readiness and the maturity of the national Open Data portal. Open Data Readiness looks at the presence of Open Data policies, at the use made of the available Open Data, and at the political, social and economic impact of Open Data. Portal Maturity measures the usability of a web-based Open Data portal with regard to the availability of functionalities, the overall re-usability of data, as well as the spread of data. The two key indicators as well as the sub indicators are depicted in the table below.
Open Data Maturity indicators.

Classifying countries by income: A new working paper

Neil Fantom's picture
Also available in: 中文 | العربية | Français | Español


"The World By Income"

We’ve
just released a working paper reviewing the Bank’s classification of countries by income. As Tariq Khokhar and Umar Serajuddin pointed out in their recent blog about whether we should call countries developing or not, there’s a strong appetite for classifying and ranking countries. Where is the best country to live, according to the OECD? (it depends, but it might be Australia, Norway or Sweden.) Which are making the most social progress, according to the Social Progress Imperative? (Norway and Sweden again.) Where is it easiest to do business, according to the World Bank? (Singapore.) Which countries have highest or lowest human development, according to the United Nations Development Program? (that’s Norway once more, and Niger is lowest.).

Using GNI per capita

The World Bank has used a specific measure of economic development - gross national income (GNI) per capita - for the purpose of ranking and classifying countries for over 50 years. The first compendium of these statistics was called the World Bank Atlas, published in 1966 - it had just two estimates for each country: its population, and its per capita gross national product in US dollars, both for 1964. Then, the highest reported average income per capita was Kuwait, with $3,290. In second place was the United States, with $3,020, third was Sweden, a fair way behind, with $2,040. The bottom three were Ethiopia, Upper Volta (now Burkina Faso), and Malawi, with GNP per capita estimates of $50, $45 and $40 respectively (GNI used to be called GNP). It probably comes as no surprise that today Norway is top. Malawi is still bottom.

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