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Taking a closer look at youth-related data: regional trends, differences

Hiroko Maeda's picture
Also available in: 中文 | Español | Français | العربية

August 12 marked the 15th anniversary of International Youth Day, which got me thinking – what kind of data do we have on young people?  The United Nations defines youth as the population aged 15-24.

This is a group that is in a transition period from childhood to adulthood.  Since this period (ages 15-24) affects adulthood more directly than childhood, youth-related data can provide insights into how we can better address their future opportunities and challenges.

"The potential possibilities of any child are the most intriguing and stimulating in all creation."
– Ray Wilbur, American educator



​Where are the highest concentrations of young people?

In 2013, people who were born between 1989 and 1998 accounted for 17% of the world's total population – 1.2 billion. While the world's population continues to grow, the youth population has declined gradually after it peaked in 2010.  The youth population in high-income countries decreased by 6 million between 2010 and 2013, a reflection of the aging population trend in this income group.

Women in Ministerial Positions Worldwide: Looking at the Data Up Close

Masako Hiraga's picture

Edit 5/19/2014: The blog is based on the IPU data as of January 2012. Our friend Andy Kotikula points out that since then, Bhutan has elected its first female minister. We also note that many more women ministers were elected, and 6 countries in Table 1 -  The Bahamas, Belize, Bhutan, Guatemala, Papua New Guinea, Qatar, and Singapore - now have women ministers. The new IPU data as of January 2014 will be available in the Gender Data Portal and WDI on July 1, 2014.

A new World Bank report, Voice and Agency: Empowering Women and Girls for Shared Prosperity, underscores the importance of enabling girls and women to fulfill their potential and make their voices heard. For women in the developing world who work in ministerial positions, are their voices being heard?  The data shows us that more than 20% of elected ministers in Latin America and Sub-Saharan Africa are women.

Using data published in the World Bank’s Gender Data Portal, these two regions’ share of women in ministerial positions are a 10-percentage-point higher than other regions, an encouraging trend since 2005.  For me, one  really eye-opening insight is this: here are two regions with very different socio-economic characteristics: Latin America and the Caribbean, with  mostly middle income countries and high levels of school enrollments, and Sub-Saharan Africa, where there is a majority of low income countries with lower levels of school enrollments. Yet they both have the highest level of female political representation compared to other regions.
 

The time is right for an open data fund

Prasanna Lal Das's picture
Also available in: Español | Français

Nobody cares about open data. And they shouldn’t. What people care about are jobs, clean air, safety and security, education, health, and the like. And for open data to be relevant and meaningful, it must contribute to what people care about and need.

We wrote a few weeks ago that the private sector is increasingly using open data in ways that are not only commercially viable but also produce measurable social impact. What is missing is financing that can help catalyze the growth of data fueled businesses in emerging economies. We are developing a fund that will address this precise need.

The context
Companies such as Climate Corporation, Opower, Brightscope, Panjiva, Zillow, Digital Data Divide and many others have shown that it’s possible to be disruptive (in established sectors such as agriculture, health and education), innovative (across the data spectrum - from collection to storage to analytics to dissemination), profitable, and socially impactful at the same time (see Climate Corporation’s Ines Kapphan, Metabiota’s Ash Casselman, and the GovLabs@NYU’s Joel Gurin talk about how how open data based companies are tackling complex, sophisticated development problems in high-impact business sectors – their path breaking work is clear evidence of the growing maturity of the industry).

From Participation to Opportunity in Women's Work: What Data Tell Us

Jeni Klugman's picture
Also available in: 中文 | العربية | Español | Français

A new World Bank report, Gender at Work, emphasizes the need for multidimensional assessments of gender equality in the world of work. A fuller picture of the problem lends to more comprehensive policy solutions.

It is tempting to use a single indicator as the gauge of a country’s standing on gender equality and women’s economic empowerment. None is more alluring than labor force participation. It is consistently available and provided yearly for the vast majority of countries—currently 183 out of 214 on the Gender Data Portal. This is an exception in the universe of economic gender indicators, which are often patchy, irregular, and unreliable. However, this leaves an incomplete and even misguided impression of how countries fare.

The Data Revolution is Here: How is Open Data Changing the Private Sector?

Prasanna Lal Das's picture

How do you take the same data that everybody has access to and convert it into a billion dollar business? When do you look at all the data in the world and say you want more (and that you are going to collect it like no one has done before)? How do you stop worrying about open data, and begin solving development challenges instead? Who is doing what with open data and how and why?

Which country has the highest proportion of women in parliament?

Leila Rafei's picture
Also available in: العربية | Español | 中文 | Français

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.

Proportion of seats held by women in national parliaments (%)

Spicing up research on sub-national development through open data: Indonesia Data for Policy and Economic Research (INDO-DAPOER)

Also available in Bahasa

It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts. – Sherlock Holmes.
It's a game changer for those working on Indonesia's sub-national development issues. Comprehensive data at the sub-national level is now available to the public through INDO-DAPOER (Indonesia Data for Policy and Economics Research) at data.worldbank.org. DAPOER, which means ‘kitchen’ in Indonesian, is intended to be a ‘place’ where various data are blended, like spices, and cooked to produce analytical works, research papers, and policy notes.

INDO-DAPOER is the first World Bank sub-national database consisting of both province and district level data to be publicly accessible from anywhere in the world. The database provides access to around 200 indicators from almost 500 districts and 34 provinces in Indonesia, which in general go back to the early 1990s and even 1980s for some. The indicators are grouped into four main categories: fiscal, economic, social demographic, and infrastructure. Indicators range from sub-national government revenue and expenditure, sub-national GDP, to specific education, health, and infrastructure indicators such as net enrollment rate for junior secondary, immunization rate, and household access to safe sanitation.

From open data to development impact – the crucial role of the private sector

Prasanna Lal Das's picture

Can open data lead to reduced energy consumption (and therefore slow down climate change)? Can open data help improve maternal health services (and thus improve facets of public delivery of services)? Can open data help farmers and crop insurers make better crop predictions (and thus lead to smarter investment decisions in agriculture)? Can open data empower citizens to fight back against police corruption (and thus help promote the rule of law)?

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