This paper describes the creation of a database providing estimated greenhouse gas (GHG) footprints for 6 million US households over the period 2008-2012. The database allows analysis of footprints for 52 types of consumption (e.g. electricity, gasoline, apparel, beef, air travel, etc.) within and across geographic regions as small as individual census tracts. Potential research applications with respect to carbon pricing and tax policy are discussed. Preliminary analysis reveals:
The top 10% of US polluters are responsible for 25% of the country’s GHG footprint. The least-polluting 40% of the population accounts for only 20% of the total. The average GHG footprint of individuals in the top 2% of the income distribution is more than four times that of those in the bottom quintile.
The highest GHG footprints are found in America’s suburbs, where relatively inefficient housing and transport converge with higher incomes. Rural areas exhibit moderate GHG footprints. High-density urban areas generally exhibit the lowest GHG footprints, but location-specific results are highly dependent on income.
Residents of Republican-held congressional districts have slightly higher average GHG footprints than those in Democratic districts – but the difference is small (21.8 tCO2e/person/year in Republican districts; 20.6 in Democratic). There is little relationship between the strength of a district’s party affiliation and average GHG footprint.
Mean GHG footprint per person, by zip code (Map)