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East Asia and Pacific

New surveys reveal dynamism, challenges of open data-driven businesses in developing countries

Alla Morrison's picture

Open data for economic growth continues to create buzz in all circles.  We wrote about it ourselves on this blog site earlier in the year.  You can barely utter the phrase without somebody mentioning the McKinsey report and the $3 trillion open data market.  The Economist gave the subject credibility with its talk about a 'new goldmine.' Omidyar published a report a few months ago that made $13 trillion the new $3 trillion.  The wonderful folks at New York University's GovLab launched the OpenData500 to much fanfare.  The World Bank Group got into the act with this study.  The Shakespeare report was among the first to bring attention to open data's many possibilities. Furthermore, governments worldwide now routinely seem to insert economic growth in their policy recommendations about open data – and the list is long and growing.

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Geographic distribution of companies we surveyed. Here is the complete list.
 
We hope to publish a detailed report shortly but here meanwhile are a few of the regional findings in greater detail.

Identifying poor-rich gaps in accessing maternal health care

Haruna Kashiwase's picture

The most recent data show significant strides in reducing maternal mortality at the national level over the past 20 years.  Improvements in access to maternal health care, especially in skilled birth assistance, have contributed to the reduction of maternal mortality. 

While these improvements are impressive, the national level data often mask inequalities in skilled birth assistance within countries. There may be gaps within a country, for example, where wealthy women might have better access than women from poor households. According to the World Health Organization, "The high number of maternal deaths in some areas of the world reflects inequities in access to health services, and highlights the gap between rich and poor."

Global child mortality rate dropped 49% since 1990

Emi Suzuki's picture
Also available in: 中文 | العربية | Español | Français

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.

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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.

World Bank to publish Purchasing Power Parities in March 2014

Grant Cameron's picture
In June 2013 we announced the upcoming release of the results from the 2011 round of the International Comparison Program (ICP). The results will include ICP 2011 benchmark PPPs and related volume measures for 199 participating countries/economies.

It Takes a Village: Taking Open Data to an Offline Community in Indonesia

Samuel Lee's picture

This is the first of a two-part blog series on offline open data pilots recently conducted in Indonesia and Kenya. Part one focuses on Indonesia, while the subsequent blog post will describe our findings in Kenya. This series is part of a larger project on the demand for open financial data being conducted by the World Bank Group Open Finances program and World Bank Institute’s Open Contracting Partnership.

Meet Gede Darmawan and Gede Sudiadnya, who live in the village of Desa Ban in Indonesia. These two young men were a part of a story of transformation, one that saw them turn from passive receivers of information to active engagers. It was a remarkable display of the potential power of open financial data.

Gede Darmawan (age 17), Gede Sudiadnya (age 22)
Gede Darmawan (age 17), Gede Sudiadnya (age 22)

<1000 days to the MDGs: Data Dashboards to Monitor the last Stretch

Johan Mistiaen's picture
Also available in: Español | Français | العربية

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.

 

Seeing Between the Lines: Visualizing Global Poverty Trends

Johan Mistiaen's picture

Last month, while World Bank President Jim Yong Kim launched the gender data portal, U.S. Secretary of State Hillary Clinton remarked that “data not only measures progress, it inspires it”.  Indeed when data is both relevant and effectively communicated, it can help to inform policies, identify challenges, and catalyze changes and innovations that deliver development results.

With that goal in mind, we started an Open Data Lab.  One of our objectives is to help the development community become more effective data communicators by experimenting with different data visualization techniques and tools.  The human brain finds it easier to process data and information if it is presented as an image rather than raw numbers or words.  And visualizations that let and encourage users to interact with data can deepen their understanding of the information presented.