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The 2018 Atlas of Sustainable Development Goals: an all-new visual guide to data and development

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Download PDF (30Mb) / View Online

“The World Bank is one of the world’s largest producers of development data and research. But our responsibility does not stop with making these global public goods available; we need to make them understandable to a general audience.

When both the public and policy makers share an evidence-based view of the world, real advances in social and economic development, such as achieving the Sustainable Development Goals (SDGs), become possible.” - Shanta Devarajan

We’re pleased to release the 2018 Atlas of Sustainable Development Goals. With over 180 maps and charts, the new publication shows the progress societies are making towards the 17 SDGs.

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.

This Atlas would not be possible without the efforts of statisticians and data scientists working in national and international agencies around the world. It is produced in collaboration with the professionals across the World Bank’s data and research groups, and our sectoral global practices.
 

Trends and analysis for the 17 SDGs

Event: 50 Years of Measuring World Economies – Wednesday May 23, 2018 at 4pm EST

Nada Hamadeh's picture
Join us live online or in-person on Wednesday at 4pm for "50 Years of Measuring World Economies" event held at the World Bank James D. Wolfensohn Atrium in Washington, DC.
 
The International Comparison Program (ICP) – the world’s largest global data initiative led by the World Bank under the auspices of the United Nations Statistical Commission – is celebrating its 50th anniversary this year. Since the initiation of the ICP as a modest research project at the University of Pennsylvania by Irving Kravis, Alan Heston and Robert Summers in 1968, the Program has grown to cover about 200 countries and 20 global, regional and sub-regional agencies.
 

To commemorate this milestone, World Bank Group Chief Executive Officer Kristalina Georgieva, 2015 Nobel Laureate in economics Sir Angus Deaton, and Georgetown University Provost Robert M. Groves will come together at an event to discuss the challenges and opportunities for investing in evidence for sustainable development. In addition, Lawrence H. Summers, the 71st Secretary of the US Treasury and son of ICP co-founder Robert Summers, will share a recorded tribute. A video produced by the World Bank for the occasion will showcase the history and impact of the ICP.

Survey specialists and data scientists meet: machine learning to measure a person’s height from a picture.

Michael M. Lokshin's picture
A test subject holding a reference image and a silhouette derived from the photo by Tensorflow/DeepLab semantic image segmentation model.

Human body measurements are used to evaluate health trends in various populations. We wanted a simple way to reliably measure someone’s height as part a field interview, using a photo of them holding a reference object. We’ve developed an approach and would highlight two things we learned during the process:

  • With an iteratively refined method, it’s possible to get a measure of someone’s height accurate to 1% from a well-composed image of them holding a calibrated paper printout. We plan to integrate this functionality in to the free World Bank Survey Solutions CAPI tool.

  • We found working with an in-house team of survey specialists and data scientists the best way to tackle this problem. It’s only when we combined our domain knowledge and field experience with our data science skills and a healthy dose of creative problem solving, were we able to develop a working prototype.

Q1 2018 update of World Development Indicators available

World Bank Data Team's picture

The World Development Indicators database has been updated. This is a regular quarterly update to 1,600 indicators and includes both new indicators and updates to existing indicators. 

This release features updates for national accounts, balance of payments, demography, health, labor market, poverty and shared prosperity, remittances, and tourism series. New estimates are also available for electricity-related indicators from the Global Tracking Framework, adjusted net savings, law and regulation towards gender equality from Women, Business and the Law, ownership of financial accounts from the Global Findex, mobile and internet, and education series.

New indicators include those for health expenditures, value added per worker by sector, sex-disaggregated indicators on the completeness of birth registration, export/import unit value index, population exposed to PM2.5 pollution by interim target level and net ODA provided. For the latest list of additions, deletions, and changes in codes, descriptions, definitions, see here.

To accompany the data, a new online edition of World Development Indicators featuring stories, documentation and discovery tools will be available in May 2018. 

Data can be accessed via various means including:

- The World Bank’s main multi-lingual and mobile-friendly data website, http://data.worldbank.org 
- The DataBank query tool: http://databank.worldbank.org which includes archived versions of WDI
Bulk download in XLS and CSV formats and directly from the API
 

Why time use data matters for gender equality—and why it’s hard to find

Eliana Rubiano-Matulevich's picture
Photo: © Stephan Gladieu / World Bank

Time use data is increasingly relevant to development policy. This data shows how many minutes or hours individuals devote to activities such as paid work, unpaid work including household chores and childcare, leisure, and self-care activities. It is now recognized that individual wellbeing depends not just on income or consumption, but also on how time is spent. This data can therefore improve our understanding of how people make decisions about time, and expand our knowledge of wellbeing.

Time use data reveals how, partly due to gender norms and roles, men and women spend their time differently. There is an unequal distribution of paid and unpaid work time, with women generally bearing a disproportionately higher responsibility for unpaid work and spending proportionately less time in paid work than men.

How do women and men spend their time?

In a forthcoming paper with Mariana Viollaz (Universidad Nacional de La Plata, Argentina), we analyze gender differences in time use patterns in 19 countries (across 7 regions and at all levels of income). The analysis confirms the 2012 World Development Report findings of daily disparities in paid and unpaid work between women and men.

Can modern technologies facilitate spatial and temporal price analysis?

Marko Rissanen's picture

The International Comparison Program (ICP) team in the World Bank Development Data Group commissioned a pilot data collection study utilizing modern information and communication technologies in 15 countries―Argentina, Bangladesh, Brazil, Cambodia, Colombia, Ghana, Indonesia, Kenya, Malawi, Nigeria, Peru, Philippines, South Africa, Venezuela and Vietnam―from December 2015 to August 2016.

The main aim of the pilot was to study the feasibility of a crowdsourced price data collection approach for a variety of spatial and temporal price studies and other applications. The anticipated benefits of the approach were the openness, accessibility, level of granularity, and timeliness of the collected data and related metadata; traits rarely true for datasets typically available to policymakers and researchers.

The data was collected through a privately-operated network of paid on-the-ground contributors that had access to a smartphone and a data collection application designed for the pilot. Price collection tasks and related guidance were pushed through the application to specific geographical locations. The contributors carried out the requested collection tasks and submitted price data and related metadata using the application. The contributors were subsequently compensated based on the task location and degree of difficulty.

The collected price data covers 162 tightly specified items for a variety of household goods and services, including food and non-alcoholic beverages; alcoholic beverages and tobacco; clothing and footwear; housing, water, electricity, gas and other fuels; furnishings, household equipment and routine household maintenance; health; transport; communication; recreation and culture; education; restaurants and hotels; and miscellaneous goods and services. The use of common item specifications aimed at ensuring the quality, as well as intra- and inter-country comparability, of the collected data.

In total, as many as 1,262,458 price observations―ranging from 196,188 observations for Brazil to 14,102 observations for Cambodia―were collected during the pilot. The figure below shows the cumulative number of collected price observations and outlets covered per each pilot country and month (mouse over the dashboard for additional details).

Figure 1: Cumulative number of price observations collected during the pilot

5 Reasons to Check out the World Bank’s new Data Catalog

Malarvizhi Veerappan's picture

Please help us out by completing this short user survey on the new data catalog.

Data is the key ingredient for evidence based policy making. A growing family of artificial intelligence techniques are transforming how we use data for development. But for these and more traditional techniques to be successful, they need a foundation in good data. We need high quality data that is well managed, and that is appropriately stored, accessed, shared and reused.

The World Bank’s new data catalog transforms the way we manage data. It provides access to over 3,000 datasets and 14,000 indicators and includes microdata, time series statistics, and geospatial data.

Open data is at the heart of our strategy

Since its launch in 2010, the World Bank’s Open Data Initiative has provided free, open access to the Bank’s development data. We’ve continuously updated our data dissemination and visualization tools, and we’ve supported countries to launch their own open data initiatives.

We’re strong advocates for open data, but we also recognize that some data, often by virtue of how it has been acquired or the subjects it covers, may have limitations on how it can be used. In the new data catalog, rather than having such data remain unpublished, we’re making many of these previously unpublished datasets available, and we document any restrictions on how they can be used. This new catalog is an extension of the open data catalog and relies heavily on the work previously done by the microdata library.

Chart: Why Are Women Restricted From Working?

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

Economies grow faster when more women work, but in every region of the world, restrictions exist on women’s employment. The 2018 edition of Women Business and the Law examines 189 economies and finds that in 104 of them, women face some kind of restriction. 30% of economies restrict women from working in jobs deemed hazardous, arduous or morally inappropriate; 40% restrict women from working in certain industries, and 15% restrict women from working at night.

 

Artificial intelligence for smart cities: insights from Ho Chi Minh City’s spatial development

Ran Goldblatt's picture
Zoning by Land Parcel (Source: https://thongtinquyhoach.hochiminhcity.gov.vn)

It’s amazing to see what technology can do these days! Satellites provide daily images of almost every location on earth, and computers can be trained to process massive amounts of data generated from them to produce insightful analysis/information. This is just one of the demonstrations of artificial intelligence (AI). AI can go beyond just reading images captured from space, it can help improve lives overall.

For urban governance, machine learning and AI are increasingly used to provide near real-time analysis of how cities change in practice – for example, through the conversion of green areas into built-up structures. By teaching computers what to look for in satellite images, rapidly expanding sources of satellite data (public and commercial), together with machine learning algorithms, can be leveraged to quickly reveal how actual city development aligns with planning and zoning or which communities are most prone to flooding. This provides insights beyond the basic satellite snapshots and time-lapse visualizations that can now be readily generated for any areas of interest.

But the barriers to applying these technologies can still seem daunting for many cities around the world. It’s not always clear how exactly to analyze this massive amount of satellite data, nor how to get access to it.

How many companies are run by women, and why does it matter?

Masako Hiraga's picture

Happy International Women’s Day! This is an important year to celebrate – from global politics to the Oscars last weekend, gender equality and inclusion are firmly on the agenda.

But outside movies and matters of government, we see the effects on gender equality every day, in how we live and work. One area we have data on comes from companies: what share of firms have a female CEO or top manager?

Only 1 in 5 firms worldwide have a female CEO or top manager, and it is more common among the smaller firms. While this does vary by around the world – Thailand and Cambodia are the only two countries where the data show more women running companies than men.

Better representation of women in business is important. It ensures a variety of views and ideas are represented, and when the top manager of a firm is woman, that firm is likely to have a larger share of permanent female workers.

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