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New Data Shows Meaningful Progress in Reducing Maternal Mortality

Emi Suzuki's picture

In the developing world, one way to reduce maternal mortality is to train professional midwives for both health facility and home deliveries. But what does the bigger picture of maternal mortality look like today?

The global maternal mortality ratio has fallen by 45% between 1990 and 2013, according to new estimates released today. This means that the world went from 380 maternal deaths per 100,000 live births in 1990 to 210 deaths per 100,000 live births in 2013. While this decline represents substantial progress, the actual rate of decline is insufficient to reach Millennium Development Goal 5 (MDG 5) – a three-quarter reduction in 1990 levels by 2015. To truly reach the target, an annual average reduction of 5.5% would be needed between 1990 and 2015.

 

Global maternal mortality ratio, 1990 and 2013

Will your project fail without a data scientist?

Prasanna Lal Das's picture

Data scientist may be the sexiest job of the current century, and everybody in the world may be crying hoarse over the growing shortage of data scientists, but if you are leading an international development project or an international development agency, chances are you don’t have a data scientist on your team and you likely aren’t looking for one. That’s a problem.

Advancing the Data Revolution through Country-Owned Data

Johannes Kiess's picture
During the World Bank’s Spring Meetings, we launched the Open Aid Map to publish and visualize the sub-national locations of donor-financed projects on an interactive, open source platform. This means we now have access to a common platform that allows us to see who is funding what and where within developing countries.

WITS Trade Data Site: Five New Features

Siddhesh Kaushik's picture

Where can you find the top trading partners for your country? Where can you find the top products exported to and imported from Indonesia? Where can you find just about any type of trade data?

The answers to these questions (and more) are available at our recently revamped World Integrated Trade Solution (WITS) site: wits.worldbank.org.  In previous versions of the site, users needed to login and query the data themselves. You still can.  And many still do to conduct much more detailed and sophisticated research and analysis on trade. But if you want to quickly look up or browse trade statistics like total exports, tariffs applied, top export, and import partners, the data has been pre-calculated and made available as Open Data.

“Thanks to the data I found on WITS, I successfully completed my PhD.  Really easy-to-use site and great upgrades.”
                              – User in India
We have tried to make the new site more intuitive and accessible to the site’s users.  Our team – the Development Data Group (DECDG), the Poverty Reduction and Economic Management Network (PREM), and other World Bank units – worked in consultation with partners, including the United Nations Conference on Trade and Development (UNCTAD), the United Nations Statistics Division (UNSD) and others, to produce this site.  We hope you find the new site as useful as we do.

Collecting Country Debt Data: 63 Years and Counting

Jung Weil's picture
IDS 2014
What word has four letters, one syllable, no weight but can still be crushing? If you guessed debt, you are correct. The World Bank has had a Debt Reporting System (DRS) since 1951, and it's still going strong.

Although the World Bank collaborates with international agencies that work with external debt and debt-related statistics (the Bank for International Settlements (BIS), the International Monetary Fund (IMF), the Organisation for Economic Co-operation and Development (OECD) and others), the World Bank has the international mandate to collect external debt data, and we maintain comprehensive external debt information.

Igniting the Data Revolution Post-2015 Now

Grant Cameron's picture

What sparks a revolution? And what helps keep the transformational power of a revolution alive?  When Jim Yong Kim became World Bank Group president less than two years ago, he stated that one of his first priorities was to position the World Bank Group as a “solutions bank.”  Most recently, during his speech last Tuesday at the Council on Foreign Relations, Kim discussed the Bank’s efforts to invest in effective infrastructure, including data systems and social movements to empower the poor.

These three words – solutions, data and the poor – from my perspective, point to this: the data revolution needs to be transformational and we must act now.   Unless we fully embrace this data revolution as a bold, timely opportunity to engage citizens, identify successful case studies, leverage global partnerships and technology, strive to learn from the private sector and truly aim to be innovative, we just may miss out on keeping this revolution alive.  And while it is good news that the UN High Level Panel Report on the post-2015 development agenda confirms that the data revolution is high on the political agenda, we must also gather evidence and vigorously commit to an inclusive plan to meet this goal.

New Country Opinion Survey Data Portal Now Live

Sharon Felzer's picture
Politicians rarely take a step without them.
Corporations do them monthly.
Presidents and Prime Ministers check them daily.

Surveys and polls. They drive decision making across all sorts of organizations, corporations, governments and even palaces.  Polls inform a range of strategies, whether related to how countries build support for reform, to how organizations move the needle on behavior change (think smoking, HIV, and drunk driving), to how companies choose the colors of a box of cereal and decide on the jingo that is intended to sell that cereal (crafted specifically to never leave your memory)!

How I Use World Bank Data: Researching Access to Electricity

Dong Yang's picture
Also available in: Español | 中文 | العربية | Français

Dong Yang is a first-year Ph.D. student at the University of Chinese Academy of Sciences. He majors in public administration. Dong got in touch with us to share his experience using World Bank Data as part of his research.

William Shakespeare once wrote, “There are a thousand Hamlets in a thousand people’s eyes.”  Similarly, different people have different understandings of database services. Some people believe it is a type of personalized service, some believe it’s a value-added service, while others believe it’s a solutions-driven service. For us students, database services are vital to our research.
 
As a form of knowledge service, databases should be adapted to the changing needs of users, supporting both knowledge consumption and knowledge creation. A good database helps not only to convert “data” into “outcomes,” but also achieve the goal of pooling wisdom and creating knowledge by enhancing a user’s creativity with its rich resources and services. In my view, the World Bank’s Open Data has truly fulfilled these functions.

No open data? No problem. 5 ways entrepreneurs are fueling open data in the developing world

Sandra Moscoso's picture
Also available in: 中文 | العربية | Français | Español
Nuevos métodos de recopilación de datos

Open data is creating opportunities for governments to work more efficiently and effectively, for citizens to engage with government and take a more active role in communities, for activists to support their advocacy efforts with facts, for entrepreneurs to bring new products and services to market, and for the bulk of us to be able to make everyday decisions

On the entrepreneurial side, the World Bank's Open Finances team has been exploring the commercial value of open data, and looking for opportunities to support entrepreneurs. These goals are achievable thanks to governments who have fostered innovation around public data by taking the step to open it. What happens when governments haven't yet opened public data? Is it possible for entrepreneurs to take advantage of open data where it does not exist?

Data and Development

Mahmoud Mohieldin's picture

WASHINGTON, DC – Since the turn of the century, the international development community has rallied behind the Millennium Development Goals, which set specific targets in eight key areas, including poverty, child mortality, and disease, to be achieved by 2015. In formulating the post-2015 development agenda, measuring the MDGs’ successes – and identifying where progress has lagged – is critically important. And that demands more and better data.

To be sure, international institutions and many developing countries have invested significantly in improving data collection to track better their performance against MDG targets. In 2003, only four countries had two data points for 16 or more of the 22 principal MDG indicators; by last year, that figure had soared to 118 countries.

But development data remain a scarce resource in the developing world. Given their value in measuring – and propelling – social and economic progress, this shortage must be addressed urgently. A catalyst is needed to expand the production and use of development data. With this in mind, the high-level panel on the post-2015 development agenda is right to call for a global “data revolution.”

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