(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.
When a country’s statistical capacity improves and policy makers use accurate statistics to inform their decisions, this results in better development policy design and outcomes. In this regard, the Statistical Capacity Indicator (SCI) serves as an essential monitoring and tracking tool, as well as helps National Statistics Offices (NSOs) worldwide to address a country’s gaps in their capabilities to collect, produce, and use data.
The Statistical Capacity Indicator’s Global Reach
Since 2004, the SCI continues to assess the capacity of a developing country’s ability to adhere to international statistical standards and methods, whether or not its activities are in line with internationally recommend periodicity, and whether the data are available in a timely fashion.
To this end, there are 25 indicators that annually monitor and “grade” a country’s statistical capacity progress and thus form the basis for the overall SCI score calculation.
While NSOs are the main users of the SCI score, the World Bank Group, international development agencies, and donor countries also refer to the SCI score for their own evaluation and monitoring purposes.
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
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.
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?
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.
What happens when a person’s potential to succeed in life is simply determined by the lottery of birth? We call this Inequality of Opportunity. Characteristics like gender, economic circumstances, geography, and ethnicity can trap large groups of people in poverty, and specifically affect access to basic services among children. Watch this video to learn more about Inequality of Opportunity -- what it is, how we measure it, and where you can find more information.
As International Youth Day approaches next week, I've found myself wondering what are the primary issues affecting young people throughout the world. One topic that seems to be a common thread across regions and income groups is youth unemployment, which remains more than double the rate of unemployment for the general population.
It's well known that youth populations are on the rise in the developing world, particularly. What does this mean for the millions of young people who enter the workforce every year?
Youth unemployment is defined as individuals aged 15-24 who are without work, but are currently available for work and have sought it in the recent past. Below, I analyze data from World Development Indicators. These data come originally from the International Labour Organization (ILO), which produces its own estimates that are harmonized to account for inconsistences in the data source, definition, and methodologies. ILO estimates may differ from official unemployment statistics produced by national statistical offices.
Asia maintains lowest levels of youth unemployment
Regional levels of youth unemployment have barely changed in the past two decades. South Asia and East Asia and Pacific have maintained the lowest rates, hovering at about 10% for the last 20 years. Meanwhile, the Middle East and North Africa region has had the highest rate of youth unemployment since the 1990s, and clocked in a figure of about 27% in 2012. The biggest increase in the youth unemployment rate has been in the Europe and Central Asia region, where after years of steady decline rates have risen to over 20% since the financial crisis in 2008.
DataBank is a data retrieval, analysis, and visualization tool that allows users to create, save, and share custom charts, tables, and maps. We launched the tool two years ago and have been making improvements based on user feedback ever since. Last year we released a multilingual version of the tool, and today we're pleased to announce a new feature that allows users to query country, series, time, and footnote metadata.
What can DataBank do?
- It enables users to easily create custom queries on data drawn from 52 databases
- It lets users create and customize charts, tables, and maps
- It makes it easy to select, save and share data and visualizations
- It's available on both computers and mobile devices
- DataBank and selected data are available in English, Spanish, French, Arabic, and Chinese
- It now allows users to create custom metadata queries
- Watch the tutorial and read the FAQs to learn more about the basics of DataBank
The big splash from the April 2014 summary release provided users with a glimpse of the International Comparison Program's (ICP) 2011 results and findings, as revealed in Haishan Fu's blog post and related press release. Users can now explore the full set of the 2011 ICP results released in June 2014.
These results provide data on purchasing power parities (PPPs) of currencies, expenditure shares of gross domestic product (GDP), total and per capita expenditures in United States dollars (USD) both in exchange rate terms and PPP terms, and price level indices. This dataset covers 26 expenditures categories for goods and services for 199 participating economies from Africa, Asia and the Pacific, the Caribbean, the Commonwealth of Independent States, Latin America, Eurostat-OECD, Western Asia, singleton economies, and the Pacific Islands. Also included are estimated results for non-participating economies.
Figure 1 below presents a multidimensional comparison of per capita GDP - scaled to the relative size of each economy - against its price level index (PLI) with the world equal to 100. The PLI, the ratio of a PPP to a corresponding exchange rate, is used to compare price levels between economies.