Luxembourg Annual Gross Salary Distribution [2019 Data]

6 comments
  1. I made the above graph following the more outlandish discussions about salaries in the [other Schueberfouer thread](https://www.reddit.com/r/Luxembourg/comments/wt80y1/the_prices_are_getting_out_of_hand/).

    It’s extremely hard to find salary distribution data, as mostly what’s out there is merely 10th percentile / median / average / 90th percentile data, but a lot of the middle ranges are almost never talked about.

    The graph above is transposed solely from this document: https://statistiques.public.lu/dam-assets/catalogue-publications/regards/2021/regards-06-21.pdf

    which had this salary distribution percentiles data: [https://i.imgur.com/XkdLdqT.png](https://i.imgur.com/XkdLdqT.png)

    The data source is quoted as the ESS2018 survey, [which unlike its name was actually collected in mid 2019 and released in 2020](https://ec.europa.eu/eurostat/cache/metadata/EN/earn_ses2018_esqrs_lu.htm).

    Because I cannot find the original dataset anywhere, to get data for the total population rather just female/male, I adapted the data based on the [latest employment data](https://lustat.statec.lu/vis?fs%5B0%5D=Th%C3%A8mes%2C1%7CPopulation%20et%20emploi%23B%23%7CMarch%C3%A9%20du%20travail%23B5%23&fs%5B1%5D=Sexe%2C0%7CTOTAL%23C01%23&pg=0&fc=Sexe&df%5Bds%5D=ds-release&df%5Bid%5D=DF_B3001&df%5Bag%5D=LU1&df%5Bvs%5D=1.0&pd=2015-Q1%2C2022-Q1&dq=Q.C03%2BC02%2BC01&ly%5Brw%5D=TIME_PERIOD&ly%5Bcl%5D=GENDER&vw=tb) where it essentially states there’s 43% more salaried men than women, and rebuild the total percentiles again for the complete population.

    ||Original Sex Data||Pop Adjusted|||||||
    |:-|:-|:-|:-|:-|:-|:-|:-|:-|:-|
    |Tranche Peak k€|F|M|F|M|T|T|Female Percentile|Male Percentile|Total Percentile|
    ||||192665|276028|468693|||||
    |20|0.8|0.7|1541|1932|3474|0.741|0.8|0.7|0.7|
    |30|16.6|8.8|31982|24290|56273|12.006|17.4|9.5|12.7|
    |40|18.2|25.1|35065|69283|104348|22.264|35.6|34.6|35.0|
    |50|11.2|18.2|21578|50237|71816|15.323|46.8|52.8|50.3|
    |60|10.7|10.2|20615|28155|48770|10.406|57.5|63|60.7|
    |70|9.7|7.9|18689|21806|40495|8.640|67.2|70.9|69.4|
    |80|7.6|6.1|14643|16838|31480|6.717|74.8|77|76.1|
    |90|6.1|4.9|11753|13525|25278|5.393|80.9|81.9|81.5|
    |100|4.7|3.6|9055|9937|18992|4.052|85.6|85.5|85.5|
    |110|3.5|2.6|6743|7177|13920|2.970|89.1|88.1|88.5|
    |120|2.7|2|5202|5521|10723|2.288|91.8|90.1|90.8|
    |130|2.4|1.6|4624|4416|9040|1.929|94.2|91.7|92.7|
    |140|1.9|1.6|3661|4416|8077|1.723|96.1|93.3|94.5|
    |150|1.5|1.3|2890|3588|6478|1.382|97.6|94.6|95.8|
    |200|1.7|3|3275|8281|11556|2.466|99.3|97.6|98.3|
    |>200|0.8|2.4|1541|6625|8166|1.742|x|||

    The graphed curves are the right most three columns.

    Essentially the gist of the whole thing was to answer that to get over 100k, you need to be in the top 14.5% of salaried employees. The top 20% are somewhere around 87k. 60.7% of salaries are below 60k, 50% are below 50k, and so on and so forth.

    If I made a mistake please correct me.

  2. Is this about Luxembourgish residents or cross-border workers included?
    The difference between the two is more interesting than the difference between genders. (also between sectors). My real problem is not that I don’t believe that Luxembourg is rich AF, but the huge inequalities between groups. And the inconsistency compared to other countries, where A job usually pays twice as much as B, but in Lux A pays half as much as B. (e.g. software engineer vs. teacher).

  3. The best that I could find when I had similar curiosities, was this:

    https://ec.europa.eu/eurostat/databrowser/view/ilc_di01/default/table?lang=en

    You can play around, filter on Luxembourg only (geopolitical entity/row), and then on the page section filter on deciles, percentiles, etc., and even move the whole percentiles/etc in the page as rows.

    I’d think we’re really far away from that 1 in 4 person earning 100k. 😉

    Data is from 2020 for Luxembourg, apparently, other countries do show 2021.

  4. Interesting data, but we always have to be careful on how we use it because unfortunately incomes are less and less an indicator of wealth.

    Imagine a (married) person making 150k€ per year. According to your diagram, this person is in the top 5%.

    150k€ per year gross is around 8200€/net per month, which allows him/her to get a 900.000€ loan on 30 years duration.

    So basically a person in the top 5% percentile can buy a 85smq apartment outside the city, or a 60sqm in Lux ville.

    Wow.

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