The x-axis represents GDP per capita, while the y-axis indicates CO2 emissions per capita. The use of vibrant colors and distinct markers makes it easy to identify each country’s position relative to the global averages.
Yes, some countries might not be considered “wealthy” but they are way above global averages(dotted lines).
Take ‘oil and natural gas money’ out of the formula. Let’s see who is really contributing to the world.
This might reflect large numbers of temporary workers in eg Qatar who contribute to both economic activity and CO2 emissions but are not part of the usual resident population used in calculating per capita rates.
Glad to see the US isn’t #1 here but I do wonder if you equalized all countries for outsourcing emissions through offshoring manufacturing, would it just be the worst again?
Probably impossible to fully quantify since production keeps moving around and those same goods aren’t always just made for the US market, but I’m sure it’s been done by someone?
I call Shenanigans! Where is China on this chart?
This was observed in Daniel Yergend book, “The Prize,” which was written when fossil fuels were the only major source of energy. Even though renewables have made a small but significant dent in that, it remains true today and that is because fossil fuels remain the least expensive form of energy when all subsidies are stripped out. Fossil fuels are the most economically efficient way to provide the energy that fuels production of all goods and services.
I don’t think I’ve seen a scatter plot rendered as a bar graph before.
Higher GDP is correlated with more energy use, and so more CO2 emissions. But that link is somewhat broken with greater energy efficiency and cleaner energy sources.
CO2 per capita in the US peaked something like in the ’70’s and overall CO2 emissions in the US peaked like 20 years ago.
A poor visualisation. Using a scatter plot with more countries would make it easier to put the shown data in a wider context and having an illegible datapoint label is inexcusable when presenting something as ‘data is beautiful’.
Kinda overlooks how the US doesn’t have homogenous CO2 emissions per capita, with some states being half the US average and others well exceeding Qatar.
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The data was beautifully mapped onto a visual graph that highlights these disparities across various nations.
More details about data source, and why i think the graph looks like this at:
[https://crp.eco/blog/higher-gdp-higher-co2-footprint](https://crp.eco/blog/higher-gdp-higher-co2-footprint)
The x-axis represents GDP per capita, while the y-axis indicates CO2 emissions per capita. The use of vibrant colors and distinct markers makes it easy to identify each country’s position relative to the global averages.
Yes, some countries might not be considered “wealthy” but they are way above global averages(dotted lines).
Take ‘oil and natural gas money’ out of the formula. Let’s see who is really contributing to the world.
This might reflect large numbers of temporary workers in eg Qatar who contribute to both economic activity and CO2 emissions but are not part of the usual resident population used in calculating per capita rates.
Glad to see the US isn’t #1 here but I do wonder if you equalized all countries for outsourcing emissions through offshoring manufacturing, would it just be the worst again?
Probably impossible to fully quantify since production keeps moving around and those same goods aren’t always just made for the US market, but I’m sure it’s been done by someone?
I call Shenanigans! Where is China on this chart?
This was observed in Daniel Yergend book, “The Prize,” which was written when fossil fuels were the only major source of energy. Even though renewables have made a small but significant dent in that, it remains true today and that is because fossil fuels remain the least expensive form of energy when all subsidies are stripped out. Fossil fuels are the most economically efficient way to provide the energy that fuels production of all goods and services.
I don’t think I’ve seen a scatter plot rendered as a bar graph before.
Higher GDP is correlated with more energy use, and so more CO2 emissions. But that link is somewhat broken with greater energy efficiency and cleaner energy sources.
CO2 per capita in the US peaked something like in the ’70’s and overall CO2 emissions in the US peaked like 20 years ago.
A poor visualisation. Using a scatter plot with more countries would make it easier to put the shown data in a wider context and having an illegible datapoint label is inexcusable when presenting something as ‘data is beautiful’.
Kinda overlooks how the US doesn’t have homogenous CO2 emissions per capita, with some states being half the US average and others well exceeding Qatar.