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July 2014

Can open data boost economic growth and prosperity?

Amparo Ballivián's picture

What interventions are needed by governments - and by the World Bank - to stimulate and support the realization of the economic benefits of Open Data for everyone?  How do we prioritize what kind of data is needed?  These were some of the simmering questions that were posed at last Wednesday's World Bank Live event.  A collaborative effort among World Bank global practices and units – Transport and Information & Communications Technologies (ICT), the Development Data Group (DECDG), Open FinancesExternal and Corporate Relations, and others – this global policy dialogue event served as an opportunity to listen in on leading experts explaining and debating the latest evidence of the economic benefits of Open Data and how it can be applied to advance socioeconomic growth in the developing world.

From the short videoconference presentations we heard from five country officials, we learned that Open Data is already making an impact.

Examples of Open Data's use and impact in India, Russia, Macedonia, Ghana, and Mexico
We first heard from Rajendra Kumar, Joint Secretary (eGov) at the Department of Electronics and Information Technology of India.  "Ever since India launched its Open Government Data Platform, we've witnessed more government participation and interest – across ministries and state governments," stated Kumar.  He also pointed to an often underappreciated result of open data programs: increased data sharing among government agencies.

"Open Data is a major source for growth in Russia, especially for Internet and IT companies," commented Ekaterina Shapochka, Advisor to the Russian Minister of Open Government.  She also added that Open Data could help increase the quality of government services to its citizens.

Advancing Open Financial Data in online and offline communities across Kenya and Indonesia

Samuel Lee's picture

62.3% of people in Indonesia and 63.9% in Kenya who want public financial information do not know how to access it.

Understanding the demand for open data seems like more of an art than a science. In many cases, given the "free" nature of open data, we are often limited to analyzing unique visitors, downloads, and consumption patterns at data engagement events. To publishers of open data seeking to respond to stakeholder demand, this incomplete measurement of data use and consumption can feel limiting and frustrating.

Open data in large part is possible due to the dramatic power and potential that the Internet and other technologies continue to bring us. As the latest information revolution continues to unfold, estimates suggest that about three-fifths of the world is offline in 2014. Given current access to connectivity, is the Internet reinforcing inequality in the real world? From an international development perspective, this is troubling. As initiatives and projects like Facebook's Internet.org, Google Loon, and Oluvus seek to extend affordable Internet access, it is still critical to understand what the potential impact of open data efforts may be on the path to a more open and connected world.

Open Data for economic growth: the latest evidence

Andrew Stott's picture
Also available in: Español

One of the key policy drivers for Open Data has been to drive economic growth and business innovation. There's a growing amount of evidence and analysis not only for the total potential economic benefit but also for some of the ways in which this is coming about. This evidence is summarised and reviewed in a new World Bank paper published today.

There's a range of studies that suggest that the potential prize from Open Data could be enormous - including an estimate of $3-5 trillion a year globally from McKinsey Global Institute and an estimate of $13 trillion cumulative over the next 5 years in the G20 countries.  There are supporting studies of the value of Open Data to certain sectors in certain countries - for instance $20 billion a year to Agriculture in the US - and of the value of key datasets such as geospatial data.  All these support the conclusion that the economic potential is at least significant - although with a range from "significant" to "extremely significant"!

New Metadata Query Feature in DataBank

Paige Morency-Notario's picture

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 

Full set of International Comparison Program 2011 results now available

Nada Hamadeh's picture

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.

Between 1960 and 2012, the world average fertility rate halved to 2.5 births per woman

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

There were more than 7 billion people on earth in 2013. While this is the highest number ever, the population growth rate has been steadily declining, in part due to declining fertility rates.  Tomorrow, Friday, July 11, is World Population Day, and in this spirit, I'd like to talk about a key component of population growth: fertility rates.
 

Figure 1

 

Figure 2

Wbopendata Stata Module Upgrade

Joao Pedro Azevedo's picture

The wbopendata Stata module has been updated to Version 13. The module can now be installed or updated directly from Stata's Statistical Software Components (SSC) repository.

To install or update your current wbopendata Stata module, please type the below text in the Stata command line:

ssc install wbopendata, replace
 

New features in this release:
  • Updated list of indicators with more than 2,000 new indicators, making a total of 9,900 indicators available
  • A revised list of country and regional codes
  • Five newly added topics: climate change, external debt, gender, Millennium Development Goals, and trade
  • A fully redesigned help file
  • A revised error reporting structure to facilitate the identification of connection failures, in particular, timeout errors

Here's an example of a query error caused by an invalid indicator: