FC Industries (Sectors) are in charge of processing IFC transactions. They also provide the Regional Departments with the expertise and knowledge needed to process new projects. FY10 data has been revised to be consistent with IFC's FY11 re-organizational changes across Industry departments. Short-term finance investments are included in figures prior to 2015. Learn more at https://www.ifc.org/wps/wcm/connect/CORP_EXT_Content/IFC_External_Corpor...
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Policymakers in low- and middle-income countries who are working to improve student learning often find themselves flying blind. They see the budget that goes into education and (sometimes) the learning that students come out with, but they lack information on the crucial factors in between—the practices, policies, and politics—that drive those learning outcomes. The Global Education Policy Dashboard (GEPD) shines a light on those hidden drivers.
Many countries, despite having significantly increased access to education for their children and youth, now realize that they are facing...
The Multidimensional Poverty Measure (MPM) seeks to understand poverty beyond just a monetary dimension by including access to education and basic infrastructure along with the monetary headcount ratio at the $1.90 poverty line. The World Bank’s measure takes inspiration and guidance from other prominent multidimensional measures, particularly the Multidimensional Poverty Index (MPI) developed by UNDP and Oxford University but differs from them in one important aspect: it includes Monetary poverty (measured as having a daily consumption less than $1.90 in 2011 PPP) as one of the dimensions...
Linked to the research conducted under the Methods and Tools Component of the 50x2030 Initiative (https://www.50x2030.org/), this data deposit includes 10-meter spatial resolution maps for (i) areas cultivated with any crops, and (ii) areas cultivated with maize across Ethiopia for each rainy season during the period of 2016-2019. The maps are a product of the analyses conducted by Azzari et al. (2021), as part of the collaboration between the World Bank and Atlas AI, in support of one of the objectives of the 50x2030 Initiative to create guidelines...
The Global Gas Flaring Estimates are produced on an annual basis by the World Bank-managed Global Gas Flaring Reduction Partnership (GGFR), which comprises governments, oil companies, and international institutions working to end routine gas flaring at oil production sites around the world. GGFR, in partnership with the United States National Oceanic and Atmospheric Administration (NOAA) and the Colorado School of Mines, has developed global gas...
Linked to the research conducted under the Methods and Tools Component of the 50x2030 Initiative (https://www.50x2030.org/), this data deposit includes 10-meter spatial resolution maps for (i) areas cultivated with any crops, and (ii) areas cultivated with maize across Malawi for each rainy season during the period of 2016-2019. The maps are a product of the analyses conducted by Azzari et al. (2021), as part of the collaboration between the World Bank and Atlas AI, in support of one of the objectives of the 50x2030 Initiative to create guidelines for...
This data was obtained through a partnership with IMF, as part of IMF's World Seaborne Trade Monitoring System (...
National statistical systems are facing significant challenges. These challenges arise from increasing demands for high quality and trustworthy data to guide decision making, coupled with the rapidly changing landscape of the data revolution. To help create a mechanism for learning amongst national statistical systems, the World Bank has developed improved Statistical Performance Indicators (SPI) to monitor the statistical performance of countries. The SPI focuses on five key dimensions of a country’s statistical performance: (i) data use, (ii) data services, (iii) data products, (iv) data...
The raster tiles display population exposure to flood risk with a 3 arc second resolution. Each pixel indicates the number of people who are exposed to inundation depths of over 0.15m depth during a 1-in-100 year flood event. For details on data, methodology and caveats see the technical working paper by Rentschler & Salhab (2020), available here.
Note: this is part of a global dataset, an updated version...
Figure S3.1.1 visualizes the huge potential of open data. The figure centers on 500 firms based in the United States. It reveals widespread private-sector use
of publicly available federal government data, though data from some agencies are used more than from others. Figure S3.1.1 also reveals that companies from some sectors rely on many types of government data.
Source: Verhulst and Caplan 2015. Open Data: A Twenty-First-Century Asset for Small and Medium-Sized Enterprises.” The GovLab. The GovLab. Used with permission of The GovLab.
The dataset includes average revenue per user per GB (% of GNI per capita) and GB usage per month in 21 countries. There are 25 data points with 4 duplicates due to countries with multiple telecommunication companies considered.
Figure Note: Each circle represents a country. GB = gigabyte; GNI = gross national income.
The dataset includes average data consumption (GB per capita per month) by income group and region for 2018.
Panel a. By country income group
Panel b. By region
Figure Note: Data are for 2018. Figures include averages of 119 economies with data. GB = gigabytes.
The dataset contains harmonized indicators created from high-frequency phone surveys collected by the World Bank and partners. The surveys capture the socioeconomic impacts of the COVID-19 pandemic on households and individuals from all developing regions. Data are available for over 90 indicators in 14 topic areas, including education, food security, income, safety nets, and others. For more information, please refer to our Technical Note and Data Dictionary.
The dataset includes data infrastructure electricity consumption (in Terawatt-hours) and greenhouse gas emissions from data infrastructure (from software, IT and telecommunication services) in tCO2e (millions). % of world total is also included for both. Data is from 2015 to 2018.
Panel a. Electricity consumption (Terawatt-hours)
Panel b. Greenhouse gas emissions from data infrastructure in tCO2e (millions)
Figure Note: Data were derived from environmental reports of companies accounting for 90 percent of data traffic.
IT = information technology; tCO2e= tonnes...
The dataset includes global weather data on surface temperature measured on December 14, 2020. Dataset includes information on location, longitude, latitude, color code (for availability of surface land observations), and weather center.
Map Note: Snapshot of World Meteorological Organization Integrated Global Observing System interactive map showing observations of surface temperature measured on a typical day (December 14) in 2020. NWP = numerical weather prediction; OSCAR = Observing Systems Capability Analysis and Review Tool.
The dataset includes the percentage of countries with data infrastructure (internet exchange points, colocation data centers, cloud on-ramps) across income groups as of June 2020.
Figure Note: The figure depicts data centers connected to the internet. Data were extracted in June 2020.
The dataset includes median data cost for 1GB (% of GNI per capita) across income groups for 2018.
Figure Note: Data are as of 2018. The affordability threshold is 2 percent of monthly income. Prices are the median prices of the economies in the group. GNI = gross national income.
The dataset includes the prevalence (in %) of female genital mutilation in 28 countries. The year which each data point corresponds to differs per country.
Note: FGM = female genital mutilation; UNICEF = United Nations Children’s Fund.
The dataset includes DSSI-eligible countries’ bilateral debt (as % of bilateral debt) and composition of creditors on 2013 and 2019.
Figure Note: For more information, see “What Is the External Debt Reporting System (DRS)?” World Bank, Washington, DC.
DSSI = Debt Service Suspension Initiative.
The dataset includes IT jobs data as in panels a and b. It has net flow (per 10,000 workers) and mean earnings (US$) across income groups.
Panel a: Net flow of workers with disruptive technology skills
Panel b: Mean nominal monthly earnings of ICT employees
Figure Note: According to LinkedIn dataset classification, “disruptive technology skills” include knowledge and skills in areas of materials science, aerospace engineering, development tools, data science, robotics, artificial intelligence, human computer interaction, genetic engineering, nanotechnology, and fintech...
Figure 3.6 shows the concentration of Internet traffic in low- and middle-income countries in several US-based firms. Specifically, Figure 3.6a focuses on the share of global internet traffic in six firms. "Others” refers to file sharing, marketplace, security, and virtual private network (VPN) messaging, as well as cloud and audio streaming.
Sandvine. 2019. “The Mobile Internet Phenomena Report, February 2019.” Sandvine, Fremont, CA.
Panel a. NSO independence and statistical performance
Panel b. Freedom of the press and statistical performance
NSO independence score: Mo Ibrahim Foundation, Ibrahim Index of African Governance (database).
World Press Freedom Index: Reporters without Borders, 2020 World Press Freedom Index (database).
Statistical Performance Indicators (SPI).
Statistical Performance Index.
The Panels show the relation between the age of statistical laws (years) and statistical performance and openness of data.
Panel a. Statistical performance (Statistical Performance Index)
Panel b. The openness of data (ODIN overall score)
Open Data Inventory (ODIN), see Open Data Watch.
Statistical Performance Indicators (SPI)
UNSTATS (Statistics Division, Department of Economic and Social Affairs, United Nations).
Partnership in Statistics for Development in the 21st Century (PARIS21).
World Bank, World Development Indicators (...
The figure shows the share of countries (%) classified by income group, region, and FCS status that use comparable poverty data points. According to the assessment of the Open Data Inventory, 40 percent of countries in Sub-Saharan Africa have at least three comparable estimates of extreme poverty.
Note: Only those economies with at least one international poverty estimate are included. FCS status refers to the World Bank’s “Classification of Fragile and Conflict-Affected Situations”.
Main Source: PovcalNet is an interactive computational tool that allows you to replicate the...
Gaps in sex-disaggregated data related to the COVID-19 pandemic are pervasive, causing knowledge of the gender impacts of the pandemic to be incomplete.
In March 2020, only 61 percent of reported COVID-19 cases were disaggregated by sex, and these data were provided by 26 countries. By November 2020, reporting had grown to 80 countries, but the proportion still stood at 60 percent. The reporting was irregular throughout 2020.
Global Health 50/50, University College London, COVID-19 Sex-Disaggregated Data Tracker (database).
Global Change Data Lab,...