Cross posted from the Private Sector Development Blog
In 2013, investment commitments to infrastructure projects with private participation declined by 24 percent from the previous year. It should be welcome news that the first half of 2014 (H1) data – just released from the World Bank Group’s Private Participation in Infrastructure (PPI) database, covering energy, water and sanitation and transport – shows a 23 percent increase compared to the first half of 2013, with total investments reaching US$51.2 billion.
A closer look shows, however, that this growth is largely due to commitments in Latin America and the Caribbean, and more specifically in Brazil. In fact, without Brazil, total private infrastructure investment falls to $21.9 billion – 32 percent lower than the first half of 2013. During H1, Brazil dominated the investment landscape, commanding $29.2 billion, or 57 percent of the global total.
Cross posted from the Private Sector Development Blog
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
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.
So what are disbursements? Disbursements are simply the amount of a loan commitment (the total amount of new loans to borrowers for which contracts were signed) that actually enter the borrower's account, in a given year. The reason I’ve decided to focus on disbursements is that this indicator offers a clear picture of developments in a given year while an indicator like external debt stock (which tell us how much a country owes its creditors – the entities that lend a country money) is a more cumulative measure as it is influenced by what happened in previous years.
In the analysis that follows, I’ve used 45 countries in Sub-Saharan Africa, excluding South Africa. Why? Simply because the size of South Africa’s external debt would mask the trends in the rest of the region. For some perspective, consider that the biggest economy in Africa (in terms of 2013 GDP), Nigeria, had an external debt stock of 14 billion USD in 2013 while South Africa (the second biggest African economy in terms of 2013 GDP) had one of 140 billion USD in the same year – ten times more.
Despite this exclusion, I think it’s important to note how huge this unit of analysis is. The 45 countries that I’ve used represent almost the whole African continent, with the exception of a handful of countries in the north of the continent. Therefore, I ask you to take these trends with a grain of salt, as they are aggregate trends and therefore some of the national differences are blurred out.
Disbursements to the region have doubled
First, the big picture: disbursements to Sub-Saharan Africa have increased sharply in the last few years. Between 2010 and 2013 they more than doubled (increased by 121%), while in the rest of the developing world disbursements went up by 42% (see figure 1). The increase in the region is particularly strong in the case of disbursements from private creditors (entities like bond holders and commercial banks), which increased almost sixfold (489%) since 2010 (compared to a rise of 52% in the rest of the developing world). In the same period, disbursements from official creditors (governments or other bilateral/multilateral entities) grew by 35% in the region (while they fell 13% in the rest of the developing world).
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.
This Sunday, International Women’s Day celebrates the achievements of women, while calling for greater gender equality. Ahead of several high-profile campaigns and initiatives launching this week and next, I thought I’d highlight some gender data and trends that you might not know about.
Note: as these data are from different sources, some of the members of regional groupings may differ between charts, please refer to the original sources for details.
1) 91% of the world’s girls completed primary school
In 2012, more girls completed primary school than ever before. Since 2000, there’s been progress across the world but large disparities remain between regions and countries. Only 66% of girls in Sub Saharan Africa completed primary school in 2012, and in three countries this figure was under 35%. Educating girls is one of the best investments we can make and by 2015, developing countries as a whole are likely to reach gender parity (about the same numbers of boys and girls) in terms of primary and secondary enrollment.
The term "big data" is much in the news lately – alternatingly touted as the next silver bullet potentially containing answers to myriad questions on natural and human dynamics, and dismissed by others as hype. We are only beginning to discover what value exists in the vast quantities of information we have today, and how we are now capable of generating, storing, and analyzing this information. But how can we begin to extract that value? More importantly, how can we begin to apply it to improving the human condition by promoting development and reducing poverty?
That is precisely the question that motivated the World Bank Group and Second Muse to collaborate on the recently released report Big Data in Action for Development. Interviews with big data practitioners around the world and an extensive review of literature on the topic led us to some surprising answers.
Image Source: Wikimedia Commons
Time travel is, of course, the stuff of science fiction. H. G. Wells wrote about it in 1895, and it’s been fertile territory for film and television makers ever since. But the ability to store and retrieve digital records has at least made it possible to travel back in time with data...
For users of statistics, it turns out this can be a pretty handy thing to do: estimates and measures of many indicators get revised as methods improve, and as geographies and economies shift over time. A statistical data Time Machine can help answer questions like how much estimates been revised - and even whether different decisions might have been taken with the benefit of hindsight.
Now, 2015 is the year of the Data Revolution. So, let’s make a contribution by making a Time Machine using World Bank open data. We're pleased to announce that the World Development Indicators Database Archives are now available in the DataBank Application, read more below on how we got here!
“We promise to add rich detail to our maps so that anyone will be able to go online, click on the maps, and immediately learn where we are working and what we are doing.” (Jim Yong Kim, Annual Meetings 2013)
For the first time, the World Bank Group’s (WBG) full portfolio, including IFC and MIGA is on the map (maps.worldbank.org). This accomplishment marks the completion of the geo-mapping target President Kim announced at the 2013 Annual Meetings. It is the result of a long collaboration across the WBG team’s to overcome numerous hurdles and successfully built on the foundation put down by the Mapping for Results team.