The preliminary results from the 2011 round of the International Comparison Program (ICP) will be released in December 2013 followed by a more in-depth report in March 2014. The first release will provide Purchasing Power Parities (PPPs), price level indexes, and real expenditures for gross domestic product (GDP) and major aggregates for over 190 countries. Major economic indicators on the global economy produced by the World Bank are based on PPPs which are used to provide internationally comparable price and volume measures for GDP and its expenditure components. The same PPPs are used to determine comparable poverty levels across countries based on the $1.25 per day poverty line.
The ascent of financial inclusion in the policy agendas of governments and international organizations has been swift, to say the least. Its rise has been accompanied by a torrent of financial inclusion data, from supply-side indicators of bank branch penetration, to demand-side measures of the usage of formal accounts, to wide-ranging data on finance at the firm level. Yet with all these different datasets floating around, it has often been difficult to arrive at a holistic understanding of the financial inclusion landscape in a particular country, or develop international standards of measurement and monitoring. With the release on April 21st of the G20’s Financial Inclusion Data Portal showcasing the ‘G20 Basic Set of Financial Inclusion Indicators’, we hope that that will change.
This post is part of the Q&A Series with the Data Ambassadors from DataDive2013. You can also read an interview with the fraud and corruption data ambassadors, a recap of Data Dive 2013, and watch the presentations from the weekend.
Photo credit: Itir Sonuparlak
During DataDive 2013, each project had an assigned data ambassador, a leader to guide and direct the research and efforts of the teams. In the days following the DataDive, we spoke with two of the data ambassadors from the fraud and corruption related projects to learn more about their experiences. Read their responses below and join the conversation in our comments section.
- Taimur Sajid develops financial models to asses risk for a financial firm and acted as a data ambassador during the DataDive.
- Marc Maxson is an Innovation Consultant with Global Giving and brought his Heuristic Auditing Tool to the DataDive.
This post is part of the Q&A Series with the Data Ambassadors from DataDive2013. You can also read an interview with the poverty data ambassadors, a recap of Data Dive 2013, and watch the presentations from the weekend.
Data Ambassadors posing at the end of DataDive 2013. Photo Credit: Carlos Teodoro Linares Carvalho.
During DataDive 2013, each project had an assigned data ambassador, a leader to guide and direct the research and efforts of the teams. In the days following the DataDive, we spoke with four of the data ambassadors from the poverty projects to learn more about their experiences. Read their responses below and join the conversation in our comments section.
- Monique Williams is an independent consultant and a statistician at the U.S. Government Accountability Office. She led and represented the UNDP Resource Allocation team.
- Nick McClellan is the web production editor for the New America Foundation and he represented the Night Illumination team.
- Max Richman is an independent consultant who provides research and technology services to non-profits, foundations and governments focused on international development. He led the Website Scraping team.
- Tom Levine works in data analysis and he represented the Arabic Tweets project.
A number of World Bank Open Data users have been taking advantage of the new Databank. Databank offers over 8,000 indicators with which to create and save custom reports with tables, charts, or maps. The saved reports are updated automatically when the data are udpated. And you can revisit, share, and embed the tables, charts, or maps as widgets on websites or blogs.