Notes:

You might see a very low average salary for some years compared to the previous years. This could be due to the following reasons:

• Small Sample Size: A few outlier responses (low salary for higher experience) can pull the average down.

• Missing Values: If only 1 or 2 people reported for “13–15” but 10+ did for “10–12”, it skews the result.

• Currency Confusion: Sometimes people working abroad might report in USD equivalents, while others don’t.

• Incorrect Self-reporting: Respondents might select the wrong experience brackets or misreport salary bands.

How did I solve that?

I applied a minimum progression rule and used median instead of mean values to reduce the effect of outliers like extremely low or high salaries.

I’ve also ran an estimation calculation for the groups that has very less or zero entries.

The numbers that have (*) are computed based on linear progression, and the ones that have (**) are based on the estimations.