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Ask a Manager is a popular workplace advice blog written by Alison Green.
Recently, Alison posted a link to an anonymous survey where respondents can report how much money they make, as well as other factors like location, age, race, gender, years of experience, years of relevant experience in the field, etc.
The data is still being collected, but there are already tens of thousands of responses, mostly from people in the US. If we're going to analyze this dataset, it would probably be best to wait a couple more months so that more data can come in.
Accurate salary data is important for people to be able to assess whether they're being paid at/above/below market rate, as well as to get a sense of their standing when asking for a raise. Taboos against sharing salaries publicly make it really hard to find these numbers, which tends to disadvantage women, gender minorities, and people of color disproportionately.
This would be a great dataset for analyzing gender/race pay gaps, as well as differences in income by location. The data is pretty clean, but it necessarily has free-text fields for things like city and job title, so those could be interesting to analyze as well.
Alison has also done similar surveys in past years, though not always with exactly the same questions/question formats. 2014 2019
The text was updated successfully, but these errors were encountered:
Ask a Manager is a popular workplace advice blog written by Alison Green.
Recently, Alison posted a link to an anonymous survey where respondents can report how much money they make, as well as other factors like location, age, race, gender, years of experience, years of relevant experience in the field, etc.
The data is still being collected, but there are already tens of thousands of responses, mostly from people in the US. If we're going to analyze this dataset, it would probably be best to wait a couple more months so that more data can come in.
Accurate salary data is important for people to be able to assess whether they're being paid at/above/below market rate, as well as to get a sense of their standing when asking for a raise. Taboos against sharing salaries publicly make it really hard to find these numbers, which tends to disadvantage women, gender minorities, and people of color disproportionately.
This would be a great dataset for analyzing gender/race pay gaps, as well as differences in income by location. The data is pretty clean, but it necessarily has free-text fields for things like city and job title, so those could be interesting to analyze as well.
Alison has also done similar surveys in past years, though not always with exactly the same questions/question formats.
2014
2019
The text was updated successfully, but these errors were encountered: