Happy International Women’s Day!

This year, the day’s focus is on global gender party. According to internationalwomensday.com, “The World Economic Forum predicted in 2014 that it would take until 2095 to achieve global gender parity. Then one year later in 2015, they estimated that a slowdown in the already glacial pace of progress meant the gender gap wouldn't close entirely until 2133.”

So just how bad is the gender wage gap? Here’s a look at the data through Tableau Public vizzes.

How the Public Perceives the Gender Wage Gap

Chloe Tseng cited the results of a Glassdoor survey which found “seven in ten employed adults believe men and women are paid equally for equal work at their employer.” But as Chloe’s visualization shows, the data tells a different story.

How Countries around the World Stack Up

Josh Tapley visualized the gender gap in wage, work autonomy, and learning opportunities in various countries. It appears Hungary is paving the way toward equity in both pay and job quality.

How Children, Home Life Affect the Wage Gap in the US

According to PayScale, women in the US get promoted less often, and get paid less when they do. PayScale also says women with children face a larger pay gap, and married women never make as much as married men “no matter how you calculate the pay gap.” Click through the Story Points to explore the data.

Have a viz of your own to add to the conversation? Share a link in the comments below, or tweet it to us @tableau using the hashtag #IWD2016.

You can also join our ongoing discussion on empowering women in the data industry by visiting the Data + Women Community Forum.

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Maybe she can create a calculated field to index it to salary per hour....

It is important to be careful not to infer a wage-gender disparity using high level raw statistics without withdrawing the effects of skill set and industry. A male road sweeper may earn less than a female stock broker however that doesn't prove that a woman earns more than a man in this situation.

My maths and economics classes were male dominated at university and college and these are the courses that are associated with higher paid jobs. I am pro having more female mathematicians and economists and coders however I feel the root cause of gender wage disparity is explained better by the industries the genders choose to enter.

Simple analysis can often be misleading as it fails to capture the detail of the matter!

The pay gap, as people know it, only exists when you look at the broad brush strokes across all occupations, industries, levels of education, degrees, etc. Looking at the data this way paints a very misleading picture, one that often leads people to believe there's rampant discrimination and sexism in all occupations and industries, which is simply not true.

When you include all the relevant factors, the pay gap all but disappears.

The "pay gap" that does exist (meaning on a national level, men are paid more than women) exists because of the different choices men and women make in their lives. Choices in education, careers, work-life balance, taking time off to raise a family, full-time vs. part-time, etc. There's nothing wrong with that - men and women make different choices in their lives, and we should celebrate the fact that we live in a society where we all have that level of freedom in our decision-making.

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