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Global Findex 2014: a bonanza of data on financial inclusion

Leora Klapper's picture
Also available in: 中文
Fellow data geeks, today is your lucky day!
 
​Today we launch our report The Global Findex Database 2014: Measuring Financial Inclusion around the World and The 2014 Global Findex database, an updated edition of what is by far the world’s most comprehensive gauge of global progress on financial inclusion. You may also find the database on the Development Data Group's Data Catalog
 


Want to learn how many adults own a bank account worldwide? Right this way. What happens with the gender gap when you break it down by country and region? We’ve got the stats … Check.  Where is mobile money making the biggest inroads, and what are the impacts? Check ... Check. How do adults save and borrow money, as well as manage financial risk? Check … Check … Check!

5 reasons why water is key to sustainable development

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

March 22nd is World Water Day. We’ve already covered 7 things you may not know about water so here a 5 more facts showing the links between water and health, energy, the climate, agriculture and urbanization. But first:

This is every river and waterway in the contiguous United States

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Image via Wired

Nelson Minar produced this incredible map using data from the USGS National Hydrography Dataset. It includes some waterways that are dry most of the year but still have defined creek beds, and like veins running through the human body it shows how fundamental water is to the country’s ecosystem.

Small teams, big ideas: open data ambition runs from start ups to governments

Liz Carolan's picture
Also available in: Français
The ODI’s Liz Carolan reflects on a new network of government leaders driving open data 

One of the things we do at the Open Data Institute (ODI) is incubate start ups. Start ups, I have learnt in my 12 months working here, usually begin as being just one or two individuals with a good idea. They have some sort of plan to make that idea a reality. They have some manifestation of the entrepreneurial leadership qualities to at least try to make that idea work. They never have enough time, money or people, and they ordinarily start out surrounded by people telling them all the reasons why it won’t succeed.

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

Chandan Deuskar's picture
Also available in: Français | العربية | Español
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?

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