Millions of soccer fans around the world have their eyes glued to Brazil for the FIFA World Cup games. In light of this, let's take a look at the World Bank's Open Data sets to get a closer look at Brazil, the world's fifth most populous country, and its neighbors.
- Population: 199 million
- Surface area: 8.5 million sq. km
- Terrestrial protected areas: 26.3% of total land
- World's fourth largest cereal/dry grain producer
(dates of the data may vary)
Two previous posts outlined plans to review the World Bank's analytical income classification, here and here. Since we are updating this classification with new data soon (July 1, 2014), we wanted to let users know where this work stands.
Every year, the analytical classification groups all economies into four categories: low income countries (LICs); lower middle income countries (LMICs); upper middle income countries (UMICs); and high income countries (or HICs). This year we will update the classification using 2013 data, but we will not make any change to the methodology.
Access to finance, availability of credit, and cost of service are all key to financial development. Credit finances production, consumption, and capital formation, which in turn lead to economic activity. The availability of credit to households, private companies, and public entities shows the worldwide growth of the banking and financial sector.
In this Q&A blog post, we examine domestic credit data trends as compiled in the World Development Indicators 2014, and what the data reveal about the changing financial landscape in developing countries.
Q: What is "domestic credit provided by the financial sector"?
A: Domestic credit provided by the financial sector is credit that is extended to various sectors. The financial sector includes monetary authorities such as the central bank (the entity which controls the supply of a country's currency), deposit money banks (commercial "main street" banks), and other financial institutions. In a few countries, governments may hold international reserves as deposits in the financial system rather than in the central bank. Since claims on the central government are a net item (claims on the central government minus central government deposits), the figure may be negative, resulting in a negative figure for domestic credit provided by the financial sector.
Sub-National Malnutrition Indicators map showcases subnational estimates of child malnutrition (prevalence for stunting, underweight, overweight, wasting and severe wasting indicators) using the most recently available data for each country mapped. The five indicators are calculated based on the WHO Global Database on Child Growth and Malnutrition which is a carefully maintained database covering over eight hundred first level administrative divisions for 86 developing countries.
When you hear the words “top tourist destination,” do sandy beaches and national parks come to mind? Perhaps places with historical significance like the Egyptian pyramids or the temples of Angkor Wat in Cambodia? When we take a close look at the tourism data, we see that some of the top tourist destinations in the world are in low- and middle-income countries, specifically, in the East Asia and Pacific region.
A recent question from Lorenz Noe caught our eye - how do we choose which indicators to publish in World Development Indicators (WDI), a major part of our Open Data Initiative? It’s a good question, so I thought I’d write a post about that - and we’ll also post something similar in the data help desk.
1. There’s no perfect indicator
Like many things in life, selecting indicators for the WDI is not an exact science. The intention is to provide good coverage of key development issues, but many of the countries that we work with do not have the quantity - or quality - of data that exists in countries like the United States, for example.
Explaining the differences in today’s global society is a topic that clearly captures the interest of many: as I write this blog, the hardback version of Thomas Piketty’s new book “Capital in the Twenty-First Century” is second on Amazon’s best-seller list. That’s not bad for a pretty hefty book about economics and the distribution of wealth!
Another publication – the 2014 edition of World Development Indicators (WDI) 2014 – was also released in the last few weeks: it’s not likely to reach the bestseller list on Amazon, but it does also reveal some startling differences in the lives of people around the world, and the challenges they face. Here’s one statistic: a newborn child born in Sierra Leone will be 90 times more likely to die before her fifth birthday than a newborn child born in Luxembourg. And the estimated probabilities of dying before five? In Sierra Leone, in 2012, it was 18%, or just under 1 in 5 – the highest in the world. In Luxembourg, that probability was just 0.2%, or about 1 in 500 – the lowest in the world. Since it really is quite shocking, maybe I should repeat it: almost 1 in 5 children born in Sierra Leone will die before they reach the age of five.
Their offense? Going to school.
This grim story highlights the pressing issue of education in the developing world.
So I thought I’d look at the stats. First: primary completion rate, which is the number of students in the last year of primary compared to the number of children of the correct age for that year – and one of the measures that is used to assess progress to “MDG2” – to achieve universal primary education. As of 2010, the estimate for Nigeria was 76%, higher than the Sub-Saharan Africa average of 69%, but well below the world average of 91%. And Nigerian girls were almost 10 percentage points behind Nigerian boys’ primary completion rate in that year. Interestingly, in 2006, the primary completion rate was as high as 90%, putting Nigeria slightly above the world average. The rate has since declined, possibly due to a steady increase in the size of Nigeria’s youth population, which can put a strain on resources linked to education. About 44% of the population was under 14 years of age in 2012.
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.