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New data and research help measure a decade of urban expansion across East Asia

Chandan Deuskar's picture
Also available in: Français | العربية
How do you measure something when there’s no agreement on how to define an indicator?  How do you compare urban data when the word “urban” doesn’t have the same definition in every country? And what happens when cities stop counting the population that starts to spill over the municipal boundaries?
 

 

Which countries could be affected by plunging oil prices: a data perspective

Siddhesh Kaushik's picture
Tumbling oil prices continue to dominate the headlines. Although oil prices have started to rise earlier in the week, this issue is still of concern to many oil-exporting countries.
 


(Source: FRED Economic Data)

A recent World Bank Group feature story broke down country by country the potential regional consequences. And according to the Bank Group’s Global Economic Prospects report, the decline in oil prices will dampen growth prospects for oil-exporting countries.

There are various factors that can be used to assess the impact of falling oil prices on countries. One such factor is trade. Countries exporting mostly fuel products will lose export revenue as oil prices drop. The chart below shows the top 15 countries that exported fuel in 2012. You can visualize the data for other years and products using the World Integrated Trade Solution’s (WITS) product analysis visualization tool.

Funding The Data Revolution

Claire Melamed's picture

A revolution starts with an idea, but to become real, it has to move quickly to a practical proposition about getting stuff done.  And getting things done needs money.  If the ideas generated last year, in the report of the UN Secretary General’s Independent Expert Advisory Group and elsewhere, about how to improve data production and use are to become real, then they will need investments.  It’s time to start thinking about where the money to fund the data revolution might come from, and how it might be spent.

Getting funding for investment in data won’t be easy.  As hard-pressed statistical offices around the world know to their cost, it’s tough to persuade governments to put money into counting things instead of, say, teaching children or paying pensions.  But unless the current excitement about data turn into concrete commitments, it will all fade away once the next big thing comes along, leaving little in the way of lasting change.

Next step for the Data Revolution: financing emerging priorities

Grant Cameron's picture
Also available in: 中文

Last August, the UN Secretary-General Ban Ki-moon asked an Independent Expert Advisory Group (IEAG) to make concrete recommendations on bringing about a Data Revolution in sustainable development.  In response, the IEAG delivered its report, and among other items, recommends, “a new funding stream to support the Data Revolution for sustainable development should be endorsed at the Third International Conference on Financing for Development,” in Addis Ababa in July 2015.

Three Issues Papers for Consultation

To support this request and to stimulate conversation, the World Bank Group has drafted issues papers that focus on three priority areas:

  1. Data innovation
  2. Public-private partnerships for data
  3. Data literacy and promotion of data use

The papers aim to flesh out the specific development needs, as well as financing characteristics needed to support each area. A fuller understanding of these characteristics will determine what kind of financing mechanism(s) or instrument(s) could be developed to support the Data Revolution.

Open India: new interactive app features state-level sectoral data

Vilas Mandlekar's picture
Also available in: Français | Español
What is the World Bank Group (WBG) doing to help address India's development challenges? And how is the Bank doing in implementing its programs in India's low-income states?  These are some of the questions that are addressed via Open India (openindia.worldbankgroup.org), a new web-based app that lays out the WBG's Country Partnership Strategy (CPS), operational projects, and knowledge products in India.

What makes the Open India site unique?
This web app takes a new and different approach in presenting the WBG's partnership strategy and current projects, by doing so in a transparent, interactive, and easy-to-use web platform. It features data visualizations that connect the main engagement areas  ̶   Economic Integration, Spatial Transformation, and Social Inclusion  ̶   with the underlying challenges that are being addressed through the WBG's operations and knowledge products in India.  An essential component of the new Open India web app is sectoral data that quantifies India's development challenges. For example, the range of India's infrastructure and transportation gaps is presented as a data visualization below.
 

Source: Open India
 

Relative versus absolute poverty headcount ratios: the full breakdown

Juan Feng's picture
Also available in: 中文 | العربية | Français | Español

Most countries in the world measure their poverty using an absolute threshold, or in other words, a fixed standard of what households should be able to count on in order to meet their basic needs. A few countries, however, have chosen to measure their poverty using a relative threshold, that is, a cutoff point in relation to the overall distribution of income or consumption in a country.

Chart 1


The chart above shows the differences between relative and absolute poverty headcount ratios for countries that have measured both. You can select other countries from the drop down list, but for example, you can see that Romania switched from measuring poverty in absolute terms to measuring poverty in relative terms in 2006.  Absolute poverty headcount ratios steadily declined from 35.9% in 2000 to 13.8% in 2006. However, by relative measures, the national poverty headcount ratio in 2006 was 24.8%.  This does not mean that poverty bumped up in 2006. These two numbers are simply not comparable, but what exactly do they both mean?

Identifying poor-rich gaps in accessing maternal health care

Haruna Kashiwase's picture

The most recent data show significant strides in reducing maternal mortality at the national level over the past 20 years.  Improvements in access to maternal health care, especially in skilled birth assistance, have contributed to the reduction of maternal mortality. 

While these improvements are impressive, the national level data often mask inequalities in skilled birth assistance within countries. There may be gaps within a country, for example, where wealthy women might have better access than women from poor households. According to the World Health Organization, "The high number of maternal deaths in some areas of the world reflects inequities in access to health services, and highlights the gap between rich and poor."

Good Open Data. . . by design

Victoria L. Lemieux's picture

An unprecedented number of individuals and organizations are finding ways to explore, interpret and use Open Data. Public agencies are hosting Open Data events such as meetups, hackathons and data dives. The potential of these initiatives is great, including support for economic development (McKinsey, 2013), anti-corruption (European Public Sector Information Platform, 2014) and accountability (Open Government Partnership, 2012). But is Open Data's full potential being realized?

Data ambassadors wrapping up at
DataDive2013. Photo:
Carlos Teodoro Linares Carvalho.

A news item from Computer Weekly casts doubt. A recent report notes that, in the United Kingdom (UK), poor data quality is hindering the government's Open Data program. The report goes on to explain that – in an effort to make the public sector more transparent and accountable – UK public bodies have been publishing spending records every month since November 2010. The authors of the report, who conducted an analysis of 50 spending-related data releases by the Cabinet Office since May 2010, found that that the data was of such poor quality that using it would require advanced computer skills.

Far from being a one-off problem, research suggests that this issue is ubiquitous and endemic. Some estimates indicate that as much as 80 percent of the time and cost of an analytics project is attributable to the need to clean up "dirty data" (Dasu and Johnson, 2003).

Global child mortality rate dropped 49% since 1990

Emi Suzuki's picture
Also available in: 中文 | العربية | Español | Français

The under-5 mortality rate worldwide has fallen by 49% since 1990, according to new child mortality estimates and press release launched today. This information is also summarized in the report Levels and Trends in Child Mortality 2014 by the United Nations Inter-Agency Group for Child Mortality Estimation (UN IGME).  Put another way, about 17,000 fewer children under-5 died each day in 2013 than in 1990.

These rates are falling faster than at any other time during the past two decades: from a 1.2% annual reduction during 1990-1995 to a 4% reduction during 2005-2013. 

More children making it to their fifth birthday
The major improvements in under-5 child survival since 1990 are attributable to better access to affordable, quality health care, as well as the expansion of health programs that reach the most vulnerable newborns and children.

The 49% drop – from 90 deaths per 1,000 live births in 1990, to 46 deaths in 2013 – means that a baby born today has a dramatically better chance of survival to age 5 compared with a baby born in 1990.   

More progress needed to achieve the global Millennium Development Goal 4 target
Four out of 6 World Bank Group regions are on track to achieve Millennium Development Goal 4 (MDG 4), which is to reduce the under-5 mortality rate by two-thirds by 2015.  Sub-Saharan Africa and South Asia are two regions where the rates of decline remain insufficient to reach MDG 4 on a global scale.  In 2013, the highest under-5 mortality rate was in Sub-Saharan Africa, where there were 92 deaths per 1,000 live births or where 1 in 11 children die before reaching the age of 5.

Chart 1

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