10 thoughts on ““Income per person” revised

  1. Is it possible to use a Median income figure rather than a GDP/head? It seems this would give a different picture, especially for countries that are commodity-rich yet the median person is actually relatively poor.

  2. Hi Andrew and thanks for our suggestion. That would probably be an interesting way of measuring the incomes of a country. However, we are limited to the data that are already available. One set of data that is already available, and are quite similar to what you suggest, is income for the poorest 10% of the population, poorest 40% and so on. We might include such data in the future.

    Thanks, Mattias, Gapminder

  3. Hej!

    Jag vill tacka för en fantastisk sida. Jag har tipsat mina gamla samhällslärare om er kurs.

    Jag har en fråga om läskunnighet. Finns det verkligen inga globala data från före 1970? Allt jag hittar är Unescos data: http://en.wikipedia.org/wiki/File:World-Literacy-Rate-1970to2015.TC.png

    Bra att ni har lagt in värden från Polity. Det vore fantastiskt om ni även kunde lägga in Freedom Houses värden för political and civil rights samt dummyvariabeln för electoral democracy. På min önskelista står även Economic Freedom of the World, Index of Economic Freedom samt Världsbankens Doing Business.

    Med vänlig hälsning
    Jacob Lundberg

  4. Hej, det finns läskunnighetsdata för perioden före 1970, men jag känner tyvärr inte till någon bra sammanställning som jag kan hänvisa dig till. Vi planerar eventuellt att göra vår egen sammanställning, men det ligger nog en bra bit in i framtiden.
    Med vänlig hälsning,
    Mattias Lindgren,
    Gapminder

  5. I submitted a suggestion, to have a comparison made between income and the level of education of women. I think this would make a chart of interest to a great many people.

  6. I am interesting in seeing the movements in the Gini index over time by income per capita, however the data is pretty incomplete. Even countries where the data is reliable and available (aka the US) it is missing from your graph.
    Your chart only shows the US until 2000. 🙁
    I would love to see an up to date view since developing countries that have a low GDP per capita might show higher levels of income equality. Possibly developed does not necessarily mean more equal.
    Thank you,
    Cindi

  7. What is the value of a Logarithmic chart over linear?
    while i have zero statistical training it seems to me that by Log graphing that the data becomes “squished” and that gaps become hidden.
    i too would find median income more telling but of corse the available data is what it is.
    would it be possible to see a chart incorporating CO2 output with other stats– i.e., GDP, longevity, ‘health’ indicators?
    thanks

  8. Logarithmic charts are used to show relative difference between different data points. In the example of income, note the following…

    Which do you care more?
    1. The difference between $100/year versus $10,000/year in income?
    or
    2. The difference between $150,000/year and $200,000/year in income?

    In a linear chart, the difference in (2) will dominate (1) by a factor of 5. In reality we won’t call (2) a case in income disparity. Using logarithmic scale, the difference in (1) will dominate (2) by a factor of 2. Therefore in this case, logarithmic scale can better display income disparity as we perceive it.

  9. I began by looking at the world graph, but really benefited from downloading the detailed population and GDP per person data annually from 1820. One way I have used it is with Angus Maddison’s Historical Statistics to calculate my own estimates of world population and GDP. I also have life expectancy from 1800.
    As an economist/statistician I think there are two principal ways to go. Crude birth, death and migration rates (or births, deaths and migration) would enable greater understanding of population and life expectancy: one way. Another way would be to examine how education (years of) and capital spending have contributed to economic growth. Thanks for the data.

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