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What it shows: This bar chart compares median weekly earnings for men and women across all occupations in 2023. Nearly all occupations show higher earnings for men, highlighting persistent gender pay disparities across job types. Why this chart works: The horizontal bar chart allows for easy comparison between men and women side-by-side for each occupation. Horizontal layout accommodates long occupation names and makes differences in bar length (earnings) immediately obvious. Key takeaway: The wage gap is not isolated to a few professions—it’s widespread. Even in traditionally “feminized” fields, men often earn more.

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What it shows: This chart shows the distribution (spread) of weekly earnings for men and women, including medians, quartiles, and outliers. Why this chart works: A boxplot is ideal for showing not just averages but variability. It visually highlights that men not only earn more on average, but also have greater access to high-paying outlier jobs. Key takeaway: The gender pay gap isn’t just about averages—it’s also about the range of opportunity. Men have access to a wider spectrum of earnings.

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What it shows: This line chart shows how employment changed year-over-year for men and women. Both groups saw increases, but men remained employed in greater numbers. Why this chart works: Line charts are the most intuitive way to display change over time. You can clearly see the trajectory for both groups and compare growth. Key takeaway: While employment is increasing for both men and women, men maintain a numerical advantage, possibly due to occupational access or industry recovery trends.

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What it shows: This chart displays how many occupations fall into different employment brackets, separately for men and women. Why this chart works: A histogram is perfect for showing how values are distributed—here, it reveals that most occupations have relatively low employment, and men dominate the highest-employment brackets. Key takeaway: Both men and women tend to work in smaller-scale occupations, but men are more likely to be in roles with significantly higher total employment.

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What it shows: This chart plots occupations by how many men are employed vs. how much they earn weekly. There’s no strong correlation between earnings and the number of men in a job. Why this chart works: A scatter plot is best for identifying patterns—or lack of patterns—between two continuous variables. It allows outliers to stand out and reveals whether higher pay attracts more workers (in this case, not clearly).

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What it shows: This chart mirrors the men’s version, showing how many women are employed in each occupation vs. how much they earn. Why this chart works: This lets you directly compare whether women are employed in similarly paying jobs as men, and how employment is distributed across earnings levels. Key takeaway: Women are clustered more tightly in lower-wage roles, with fewer data points in the high-wage/high-employment quadrant, indicating occupational stratification and likely barriers to advancement.

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What it shows: This chart ranks the top 20 occupations with the largest absolute gender pay gaps in favor of men. Why this chart works: A lollipop chart is a visually elegant way to show ranked values—less cluttered than a bar chart, it emphasizes the size of the gap clearly and attractively. Key takeaway: The occupations with the largest gender pay gaps are often those with high status or earnings, like management or legal roles, suggesting a glass ceiling effect where women are present, but undercompensated.