The latest data from the Inter-Parliamentary Union show that Rwanda tops the list as the country with the highest proportion of women in parliament, with nearly 64 percent of seats held by women in 2013. Globally, women account for an average of about 20 percent of parliamentary seats, up from 15 percent a decade ago.
The top ten countries are a mix of high and middle income economies, some with legally mandated gender quotas and some without. Rwanda, a low income country, is followed by Andorra at a flat 50 percent and Cuba at 49 percent. Sweden, with 44 percent of parliamentary seats held by women, is the country that achieved the highest rate without any gender quota.
There is a growing perception that spatial disparities in development indicators within countries are becoming more pronounced. Sub-national data are needed to inform policy makers on such matters. However, data on the sub-national level is less frequent (curated in a global setting) because sub-national administrative areas change frequently.
Yesterday was World Aids Day - an annual event to raise awareness about HIV and the global fight against it. When it comes to international data about HIV and AIDS, the cross-organisational UNAIDS program publishes age and gender disaggregated data on indicators such as prevalence, new infections and deaths. In turn, we incorporate some of these data into the World Development Indicators
Here are some highlights from the data that have been released:
1) There are more adults and children living with HIV than ever before
In 2012, there were an estimated 35.3 million adults and children living with HIV in the world. The majority of these people are in Sub-Saharan Africa and parts of Asia. As you can see from the decreasing slope of the “global” line - while people continue to become infected, the rate of new infections is going down.
If a child is born today in a country where the life expectancy is 75, they can expect to live until they are 75… right?
The statistic “Life expectancy at birth” actually refers to the average number of years a newborn is expected to live if mortality patterns at the time of its birth remain constant in the future. In other words, it’s looking at the number of people of different ages dying that year, and provides a snapshot of these overall “mortality characteristics” that year for the population.
The World's CO2 emissions grew 4.9% in 2010
That's the 3rd largest annual increase since 1990 (early estimates of 2011 and 2012 emissions show further global increases since 2010, but not quite as large). Nationally, China, the United States, India, Russia and Japan continue to be the top 5 emitters. It's also notable that in 2010 South Korea surpassed Canada in 8th place, and South Africa fell out of the top 10 with an emissions drop of almost 3 percent.
New estimates of child mortality were released today by the UN Inter-Agency Group for Child Mortality Estimation (UN IGME), and show the global child (under-five) mortality rate has dropped 47 percent since 1990 - from 90 deaths per 1,000 live births in 1990, to 48 in 2012. This decline represents substantial progress, but the rate of decline remains insufficient to reach Millennium Development Goal 4 (MDG 4) of a two-thirds reduction in 1990 levels by 2015.
But a closer look at the data show that just looking at the average trend hides the accelerated decline in rates in recent years. The average decline in rates was just 1.2 percent per year between 1990 and 1995, but between 2005 and 2012 there has been average annual reduction in child mortality rates of 3.9 percent. This recent progress is close to the average rate needed to be “on track” to meet MDG 4, since under-five mortality rates needs to be going down by at least 4 percent annually.
During the past few years, interest in high-frequency price data has grown steadily. Recent major economic events - including the food crisis and the energy price surge – have increased the need for timely high-frequency data, openly available to all users. Standard survey methods lag behind in meeting this demand, due to the high cost of collecting detailed sub-national data, the time delay usually associated with publishing the results, and the limitations to publishing detailed data. For example, although national consumer price indices (CPIs) are published on a monthly basis in most countries, national statistical offices do not release the underlying price data.
Merchandise trade has become an increasingly important contributor to a country’s gross domestic product (GDP), particularly for developing countries. Before the global financial crisis hit in 2008, merchandise trade as a percent of GDP for low- and middle-income economies was 57 percent, about 5% higher than for high-income economies. This is very evident in Europe and Central Asia (ECA) where merchandise trade accounts for 73 percent of the developing region’s GDP. Many ECA countries including Hungary, Belarus, and Bulgaria have merchandise trade to GDP ratios above 100 percent (155, 136, and 114 percent respectively in 2011), meaning merchandise exports are a large contributor to their overall economy.
Data on Millennium Development Goals (MDG) indicator trends for developing countries and for different groups of countries are curated in the World Development Indicator (WDI) database. Each year we use these data in the Global Monitoring Report (GMR) to track progress on the MDGs. Many colleagues, as well as non-Bank staff, approach us on a weekly basis with questions regarding where their region, or country, or sector stands in regard to achieving the core MDGs. Oftentimes in the same breath, they will also ask us whether or when we expect that a particular country or region will meet a certain MDG.
With less than 1,000 days remaining to the MDG deadline, work on the Post-2015 agenda is in full swing. In response to the growing demand for additional info about GMR analytics and the underlying data, we developed a suite of open and interactive data diagnostics dashboards available at: http://data.worldbank.org/mdgs. Below is an extract which summarizes the progress status towards meeting various MDGs among countries in various regions, income and other groups. Select different indicators and highlight categories of progress status to interact with the visualization.