Datenquellen:
BIP pro Kopf – Willkommen, The Gallup Organization Ltd. (2021). Wellcome Global Monitor, 2020. Verarbeitet von Our World in Data
https://ourworldindata.org/grapher/gdp-per-capita-maddison-project-database
Gini-Koeffizient – Weltbank-Plattform für Armut und Ungleichheit (2025) mit umfassender Verarbeitung durch Our World in Data
https://ourworldindata.org/grapher/economic-inequality-gini-index
%-Anteil an lebenslanger Angst oder Depression – Bolt und van Zanden – Maddison Project Database 2023 mit geringfügiger Bearbeitung durch Our World in Data
https://ourworldindata.org/grapher/share-who-report-lifetime-anxiety-or-depression
Mit Matplotlib mit Python grafisch dargestellte Daten, Code mit Hilfe von Codex geschrieben.
Von lasushin
13 Kommentare
Love how Taiwan is completely relaxed right now, must be cool under pressure lol.
Also what is happening in Peru?
Neat, however cultural bias likely aggressively skews depression rates. Reminds me of the „100 years ago, nobody had autism, was gay, etc…“ stuff where the truth is that eg autism rates have likely been rather constant but so stigmatized that it went unreported/diagnosed. Taiwan, for example, has stong stigmas about mental health, so it’s very likely that anxiety rates are severely underreported.
The post title is missing the word “Inequality”.
The only graph where Serbia is between Japan and South Korea.
India has very low inequality?
So… there is no correlation?
The title is not at all the graph.
The graph is showing how **disparity** of income in a society correlates with anxiety.
Would love to see this adjusted for purchasing power parity
Gini is income *inequality* not income.
Which is a less surprising result than „greater income correlates with greater anxiety and depression“
How you see a correlation in this noise is beyond me
Peru have highest depression? I find that hard to believe.
Income inequality, not income. And it’s a moderate correlation only.
So first off, this is not correlating to income, but to income inequality.
Second, the fact that it correlates is misleading, as the Gini coefficient at best is a proxy for something else going on, e.g. economic outlook or whatever, at worst it is a spurious correlation.
Not everything that correlates is actually a valid correlation.