Watch out, I got torn to shreds on one of these threads because I dared to refer to a stat for the greater Pittsburgh region rather than the city limits. r/Pittsburgh doesn’t f*** around

Two suggestions:

1. Organize your key to be in order of income bracket, not alphabetical.

2. Overlay total CO2 emissions over the same period for context. (Or better yet use a different visualization like an animated bar chart over time with total contribution per population group.)

3. It’s percent, not per cent.

Also to everyone questioning the validity of the data because it doesn’t fit your world view - go to a different sub. Early Industrial Revolution, the factories covering London and other major cities in pollution were owned by the richest people. As time moves on, CO2 emissions become the Everyman’s contribution via personal vehicles and the like. That’s why total emissions over the same period would add context to this graph.

That said, another possible context could be car ownership per capita.

Looking at the years, my first thought driving this is vehicle ownership. In general though I’d guess the relative nature of poverty and the increasing population sizes in the middle brackets worldwide. I really think it’s major problem is not accounting for population size changes or total CO2 output changes.

A few suggestions:

1. Organize your key to be in order of income bracket, not alphabetical.

2. Overlay total CO2 emissions over the same period for context. Or better yet use a different visualization like an animated bar chart over time showing total contribution per population.

3. It’s percent, not per cent.

Also to everyone questioning the validity of the data because it doesn’t fit your world view - go to a different sub. Early Industrial Revolution, the factories covering London and other major cities in pollution were owned by the richest people. As time moves on, CO2 emissions become the Everyman’s contribution via personal vehicles and the like. That’s why total emissions over the same period would add context to this graph.

That said, another possible context could be car ownership or population size within each subgroup over the same period. Or use per capita info as others have suggested. Overall this chart just doesn’t contain enough data to provide any real insights.