Gender inequality refers to unequal treatment or perceptions of individuals wholly or partly due to their gender. It arises from differences in gender roles. Women lag behind men in many domains, including education, labor market opportunities and political representation. World Economic Forum (WEF) ranks 144 countries in its Global Gender Gap Index to see how they compare on four pillars: Economic participation and opportunity, education, political empowerment, and health and survival. The rankings are designed to create global awareness of the challenges posed by gender gaps and the opportunities created by reducing them. For the first time since the World Economic Forum’s records began in 2006, the global gender gap is widening again. India slipped 21 places on the World Economic Forum’s Global Gender Gap index to 108, behind neighbours China and Bangladesh, primarily due to less participation of women in the economy and low wages. We at Rediff labs taken the data from WEF analyzed it and visualized on our Rediff map platform.
What makes this project innovative?
In this data article we have visualized Global gender gap rank 2017 for each country and also visualized the change in the rank from 2016 to 2017. We have also included a bar chart of how many years each region will take to close the overall gender gap. We have shown the difference in the ranks of each country so that we will know about the efforts each country is making to close the gender gap in that country.
What was the impact of your project? How did you measure it?
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Source and methodology
The Gender Gap Index is taken from the world economic forum Gender gap report. From this report, we have taken the overall gender gap rank for each country and visualized it on the map so the user can easily understand how their performs on closing the gender gap. From the gender gap rank map, we come to know that countries like Iceland, Norway, Finland, Rwanda, and Sweden have taken the top places. And the countries like Yemen, Pakistan, Syria, Chad, and Iran have taken the lowest places.Then we took the data on Gender gap rank from 2016 and 2017 and calculated the difference in the rank from 2016 to 2017. Then we categorized the difference from Highly Increased to highly decrease and visualized it on the map. This gives the users how their country has improved or degraded by means of closing the gender gap. So from the map Ranks of countries like Uruguay, Peru, Dominican Republic, Bangladesh, and Albania have highly increased.On the other hand, Cape Verde, Malawi, Italy, Luxembourg, Laos, and India have highly decreased from the previous year’s ranking. For India, the rank has dropped from 87 to 108 i.e., 21 places from the previous year. In 2016, India was ranked 136 for economic participation and opportunity, 113 for educational attainment, 142 for health and survival and 9 for in political empowerment. In 2017, India is ranked 139 for economic participation and opportunity, 112 for educational attainment, 141 in health and survival and 15th in political empowerment. The only sub-index where India is in the top 20 rank in 2016 and 2017 is political empowerment where it takes the ratio of females with seats in parliament over male, the ratio of females at ministerial level over male and the ratio of the number of years with a female head of state over male value. Overall in the world, the gender gap is widening again. Under the economic pillar which looks at salaries, workforce participation and leadership has one of the fastest growing gaps. Women across the world are still earning less than men by a large amount. The WEF says that the economic gender gap will now not be closed for 217 years. There is a bar chart which shows the number of years a region will take to close the gender gap according to world economic forum. North America needs 168 years to close the overall gender gap which is the highest number of years needed and Western Europe need 61 years to close the overall gender gap which is the lowest number of years needed if the current pace is maintained.
We have used R programming, Microsoft Excel for data analyzing and Rediff own map’s platform based on OpenStreetMap.
Gagan Bansal, Maps Architect