The 2018 Atlas of Sustainable Development Goals: an all-new visual guide to data and development
It’s filled with annotated data visualizations, which can be reproducibly built from source code and data. You can view the SDG Atlas online, download the PDF publication (30Mb), and access the data and source code behind the figures.
The Atlas draws on World Development Indicators, a database of over 1,400 indicators for more than 220 economies, many going back over 50 years. For example, the chapter on SDG4 includes data from the UNESCO Institute for Statistics on education and its impact around the world.
Throughout the Atlas, data are presented by country, region and income group and often disaggregated by sex, wealth and geography.
The Atlas also explores new data from scientists and researchers where standards for measuring SDG targets are still being developed. For example, the chapter on SDG14 features research led by Global Fishing Watch, published this year in Science. Their team has tracked over 70,000 industrial fishing vessels from 2012 to 2016, processed 22 billion automatic identification system messages to map and quantify fishing around the world.
The data draw on the World Development Indicators the World Bank's compilation of internationally comparable statistics about global development and the quality of people's lives. For each of the SDGs, relevant indicators have been chosen to illustrate important ideas.
New data and methods for measuring development
In addition to trends, the Atlas discusses measurement issues. For example new, more granular definitions of access to water and sanitation presented in SDG6 show that while almost 90 percent of the world has access to “at least basic” water - only 71 percent of access water that’s considered “safely managed”, being both readily available and free from contamination.
In SDG8, new data from the Global Findex Database shows that 69 percent of adults around the world have an account at a financial institution or with a mobile money provider. But some 1.7 billion people still lack an account, and access to accounts varies widely by region, and by age, education, sex and wealth. SDG3 features recently released data on Universal Health Coverage which shows that globally, in 2010, over 800 million people spent more than 10 percent of their household budgets on healthcare. The majority of the Atlas is produced using the statistical programming language R and the ggplot graphics library. The code used to produce each graphic is available on github and you can view source code for individual figures.
Working this way helps users to understand how a particular figure was derived, what transformations were made to the data and with what assumptions. It also allows figures to be easily maintained and updated, and for others to take our code and data and adapt it to their needs.
Stay tuned for a separate blog post on what the team learned by setting out to make a fully reproducible publication, and how we’ve addressed the challenges inherent to the process.
See 15 Life on land