In Sub-Saharan Africa and South Asia, there are more than twice as many students per teacher than in Europe and North America. The pupil-teacher ratio is different but related to class size, and is often used to compare the quality of schooling across countries.
Population density is one of the most important statistics for development efforts across many sectors, and since early 2016 we’ve been collaborating with Facebook on evaluating a new source of high-resolution population data that sheds light on previously unmapped populations.
As mentioned in the Living Standards Measurement Study (LSMS) team’s blog post, Facebook Connectivity Lab announced last week the public release of high-resolution population maps for Ghana, Haiti, Malawi, South Africa, and Sri Lanka, jointly produced with the Center for International Earth Science Information Network (CIESIN).
With the building footprints detected by artificial intelligence (AI) over high-resolution commercial satellite imagery, the data sets provide estimates of population at 30m spatial resolution, making these maps the highest-resolution population maps ever produced. This is only possible through recent breakthroughs in computer vision due to deep learning algorithms and technological development of computer processors, as well as the increasing availability of high-resolution commercial satellite imagery.
Image 1: Naivasha, Kenya.
DigitalGlobe satellite (upper left), gridded population of the world v4 from CIESIN (upper right), WorldPop (bottom left), output from Facebook model (bottom right).
Editor’s note: This is a guest blog from Jorn Berends and Wendy Carrara on behalf of the European Data Portal. The indicator “Open Data readiness” mentioned in the analysis below is unrelated to the Open Data Readiness Assessment tool developed by the World Bank.
The majority of European countries are improving their Open Data maturity
Open Data is taking off in Europe. Open Data – which refers to publicly available data that is free for all to use – is set to have a monumental impact on societies in the upcoming years, and has a potential market size for the European Union of 75.7 bn EUR by 2020. European countries seem to be on track to reap the potential of Open Data, although a lot of work remains to be done and substantial differences persist between countries. In 2016, with a 28.6% increase compared to 2015, the EU28 and Norway, Switzerland and Liechtenstein – referred to as EU28+ – completed over 55% of their Open Data journey. This shows that, by 2016, a majority of the EU28+ countries have successfully developed a basic approach to address Open Data. This is just one of the conclusions of the 2016 Open Data Maturity in Europe report, prepared by the European Data Portal. What can this report tell us on the countries that are doing particularly well in this regard, what is it that makes them European champions? Furthermore, what can other countries learn from them?
Spain and France are leading the way in Europe, but substantial differences persist
The measurement is built on two key indicators ‘Open Data Readiness’ and ‘Portal Maturity’, thereby covering the level of development of national activities promoting Open Data as well as the level of development of the country’s national data portal. Based on these indicators, the European countries are clustered into four different levels of Open Data maturity: Beginners, Followers, Fast Trackers and Trend Setters.
Facebook recently announced the public release of unprecedentedly high-resolution population maps for Ghana, Haiti, Malawi, South Africa, and Sri Lanka. These maps have been produced jointly by the Facebook Connectivity Lab and the Center for International Earth Science Information Network (CIESIN), and provide data on the distribution of human populations at 30-meter spatial resolution. Facebook conducted this research to inform the development of wireless communication technologies and platforms to bring Internet to the globally unconnected as part of the internet.org initiative.
Figure 1 conveys the spatial resolution of the Facebook dataset, unmatched in its ability to identify settlements. We are looking at approximately a 1 km2 area covering a rural village in Malawi. Previous efforts to map population would have represented this area with only a single grid cell (LandScan), or 100 cells (WorldPop), but Facebook has achieved the highest level of spatial refinement yet, with 900 cells. The blue areas identify the populated pixels in Facebook’s impressive map of the Warm Heart of Africa.
Facebook’s computer vision approach is a very fast method to produce spatially-explicit country-wide population estimates. Using their method, Facebook successfully generated at-scale, high-resolution insights on the distribution of buildings, unmatched by any other remote sensing effort to date. These maps demonstrate the value of artificial intelligence for filling data gaps and creating new datasets, and they could provide a promising complement to household surveys and censuses.
Beginning in March 2016, we started collaborating with Facebook to assess the precision of the maps and explore their potential uses in development efforts. Here, we describe the analyses undertaken to date by the Living Standards Measurement Study (LSMS) team at the World Bank to compare the high-resolution population projections against the ground truth data. Among the countries that were part of the initial release, Malawi was of particular interest for the validation exercise given the range of data at our disposal.
The UN estimates that 2.4 billion people still lack access to improved sanitation facilities, nearly 1 billion of which practice open defecation. Good sanitation is a foundation for development - conditions such as diarrhea are associated with poor sanitation, and left untreated, can lead to malnutrition and stunting in children. Read more about World Toilet Day
Note: Only ETS (Emissions Trading Systems) or carbon tax are considered on this graph. Emissions are given as a share of global GHG emissions in 2012. Annual changes in global, regional, national, and subnational GHG emissions are not shown in the graph.
In the last 10 years, . In 2016, about 40 national jurisdictions and more than 20 cities, states, and regions, including seven out of the world’s 10 largest economies, are putting a price on carbon. . Read more in State and Trends of Carbon Pricing 2016.
In today’s world of mobile technology, social networks, pervasive satellite and sensor information and machine-to-machine transactions, data is becoming the lifeblood of many economies. Data-informed decision making is more important than ever before. However, the ability to use data in development and decision-making processes has not seen the same progress. Relying on data to inform decisions requires that the appropriate tools and analytical methodologies exist in order to use it effectively.
Through the Big Data Innovation Challenge, the World Bank is calling out to innovators globally for higher resolution, regional or sector-specific big data prototypes and solutions in support of watersheds, forests, food security and nutrition.
Here are five facts from our climate team about our water, forests and food security that remind us why your big data innovation is necessary.
Peru welcomed 3.2 million tourists in 20 14, the highest number to date. In some regions of the country, like Cusco, tourism is a potential economic lifeline for local people, who can profit from a variety of businesses serving tourists. In 2012, the World Bank Group began working with The Government of Peru to streamline the processes around opening tourism-related businesses because excessive regulations and red tape were holding up investments in new businesses for years. Ultimately, the project shaved 3 years off the business registration process and eliminated 150 unnecessary regulations. With the streamlined regulations in place, investments in hotels in Peru are on the rise. Between 2015 and 2018, Peru is expecting US$1.2 billion in investments in new hotels, an increase from US$550 million during the period 2010-2014.
Find out more here.