"Estimating Economic Damage from Climate Change in the United States"

This page contains resources for "Estimating Economic Damage from Climate Change in the United States" by Hsiang, Kopp, Jina, Rising, Delgado, Mohan, Rasmussen, Muir-Wood, Wilson, Oppenheimer, Larsen, Houser (Science, 2017).

This analysis was produced by the Climate Impact Lab, a consortium of researchers from UC Berkeley, Rutgers, University of Chicago, and Rhodium Group, along with our research partners at Princeton University and RMS.

Data Visualization

An interactive data visualization at the Climate Impact Lab website is at http://www.impactlab.org/map/ where visitors can interact with both the climate and economic data produced through our analysis.

Data download

County-level damages by sector (CSV) - This file contains median damages for each sector shown in Fig 2 of the main article (agriculture, mortality, energy, low-risk labor, high-risk labor, coastal damages, property crime, violent crime, total damages).  These impacts are the central estimate for average annual damage during 2080-2099 under a business-as-usual scenario (RCP8.5). UPDATE: This file has been updated (6/26/17) to include avg county income and population in 2012, as well as to replace 4 missing values.

Total economic damages for each county by likelihood (CSV) - This file contains total damages for each county as a fraction of county income, similar to Fig 2I in the main article except, it also contains ranges of total damages likelihood intervals (as shown in Fig 5C in the main article) defined using the standards set by the IPCC. The file contains median estimates (50 percentile), as well as the likely range (17-83 percentiles, which is the 66% chance central interval), and the very likely range (5-95 percentiles, which is the 90% chance central interval). All values are percent of county income. UPDATE: This file has been updated (6/26/17) to include avg county income and population in 2012, as well as to replace 4 missing values.

Total economic damages distributions for each income decile of counties (CSV) - This file contains descriptions of total damages for US counties grouped by their income decile (it is the data used to make the "Inequality of damages in the USA" figure below). For each decile, the file contains median estimates (50 percentile), as well as the likely range (17-83 percentiles, which is the 66% chance central interval), and the very likely range (5-95 percentiles, which is the 90% chance central interval).

Full data archive for researchers (zenodo.org)

Figures for press download