Data Sources Used in This Project:
United Nations Economic and Social Council (2012), Gender Statistics: Report of the Secretary-General.
World Bank (1990-2013), Gender Statistics Indicators (Date of access: October, 2014).
Mayra Buvinic, Rebecca Furst-Nichols, and Gayatri Koolwal (March 2014),
Data 2X: Mapping Gender Data Gaps, United Nations Foundation, William and Flora Hewlett Foundation, and U.S. government.
Notes
- Missing data country and indicator ranking calculations are based on country-level data for 52 gender indicators reported by the World Bank through its GenderStat database as of October, 2014. The 52 gender indicators were amassed by the United Nations in 2012 (see source above).
- Missing data calculations are based on an applied standard of annual data points for each indicator and country between 1990 and 2013. Thus, 100 percent missing data for a given country and indicator means that a country has no data reported on that indicator for any of the years between 1990 and 2013. Zero percent missing data for a country and indicator means that a country has data reported on a given indicator for every year in the same period.
- For the grid of pixels (heatmap), a linear scale was used to value data from recent years more heavily, with the first year getting a weight of 0.1 and the last year getting a weight of 1.0. Scores of 10 or higher (the highest was 12) are fully transparent in the composition. The following formula was used for year weighting: ((Year - 1990) / (2013 - 1990)) * 0.9 + 0.1. If weights were not used, the images of the women for each region would be even more obscured.