Diagramme des 75. und 90. Perzentils der US-amerikanischen und KKP-bereinigten Vollzeitverdienste im Vereinigten Königreich für alle Mitarbeiter und des Medians für professionelle Mitarbeiter [OC]

This is a continuation of my previous post [here](https://www.reddit.com/r/dataisbeautiful/comments/1gryja1/chart_of_us_and_pppadjusted_uk_earnings_for/) showing the same charts for the median for all employees so go check that out if you haven’t already since a median measure is more representative of the average individual in each country.

The charts for the 75th and 90th percentiles were made on a request from u/Fontaigne and the chart for the median for professional employees was made on a request from u/cownan. Y’all asked so I provided.

All data for the UK was taken straight from the [ONS](https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/regionbyoccupation2digitsocashetable3) using data from the Annual Survey for Hours and Earnings (ASHE). Yearly PPP adjustment factors, up until 2022 as that is where the data stops, were taken from the [OECD Data Explorer](https://data-viewer.oecd.org/?chartId=6ffc580a-3284-46f3-a9dc-ea8fe529c230) where adjustment factors post-2022 were simply assumed to be equal to those in 2022 (e.g. roughly around 0.65).

Annual data for the US for the 75th and 90th percentiles was taken from the [US Bureau of Labor Statistics](https://www.bls.gov/webapps/legacy/cpswktab5.htm) using data from the Current Population Survey (CPS) and data for median earnings for professional employees was taken also from the [US Bureau of Labor Statistics](https://www.bls.gov/webapps/legacy/cpswktab4.htm).

I simply just used Excel to compute all the calculations necessary (i.e. PPP-adjustments and percentage differences) and I also just used Excel to create the charts.