Terra Bounty: LUNA Distribution

    People who do not like crypto often cite wealth inequality as a reason: they claim that the tokens are concentrated in the hands of a few whales. Assess this claim for LUNA. How much of circulating supply is held by the top 100 addresses? Top 1%? Top 10%? BONUS: compare this to wealth distribution vs. a country or an index of your choosing.

    Circulating supply

    Wealth Distribution Comparison between LUNA and United States of America

    From the data obtained in statista for Q2 2021, the top 1% of USA citizens had 32.3% and top 10% had 70% of total wealth.

    ( Source: https://www.statista.com/statistics/299460/distribution-of-wealth-in-the-united-states/)

    Circulating supply calculation

    The circulating supply will be calculated as the total balance of all the addresses holding liquid LUNA. For that, a SQL query will be run on the daily_balances tables adding the balances in LUNA and USD where balance type = liquid as well as counting the number of addresses. This query will be ordered by date.

    The chart below shows the circulating supply and the market cap in USD for the last 30 days. Currently, on January 27th 2022 it amounts to 57.7B USD distributed in 319463 addresses. (source "Circulating Supply by date")

    Balance of top 100, top 1% and top 10% addresses

    Top 100 addresses account for 96% of circulating supply

    Top 1% addresses (3194) account for 99.3%of circulating supply

    Top 10% addresses (31946) account for 99.3%of circulating supply

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    Conclusion

    Looking at the results, it seems that the LUNA circulating supply is verz concentrated on the top addresses, all metrics a completely asymmetrical distribution towards the whales.

    At this point, the results should be reviewed to check their accuracy. Since the Bounty ends in some minutes, I am not able to redo the analysis and will use the concepts learnt in this my first analysis using SQL to revisit in the future and as well try new bounties that are available in Flipside.

    An interesting comparison would be to calculate the Gini coefficient of the LUNA Network and compare it to the world countries ranking.

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