Crime Climate Impact Distributions

<p>Percentiles of crime impacts due to climate change, organized by level of aggregation, climate scenario, and time period.</p> <p>Crime impacts are estimated by applying future climate data to dose-response functions of property and violent crime rates, aggregated by population levels.</p> <p>The uncertainty represented by these percentiles comes from a combination of statistical uncertainty in the dose-response functions, climate uncertainty across GCMs, and within-month weather realization, as sampled by Monte Carlo runs.</p> <p>The archive contains four folders:&nbsp;county_20a with&nbsp;county-level impacts,&nbsp;state_20yr with state-aggregated impacts, nca_20yr with NCA-region aggregated impacts, and&nbsp;national_20y with nationally aggregated impacts.&nbsp; Aggregation is weighted by crimes within each region.</p> <p>The files are labeled as follow:</p> <p>crime-&lt;TYPE&gt;-&lt;RCP&gt;-&lt;YEAR&gt;&lt;SUFFIX&gt;.</p> <p>The TYPE can be property or violent crime. &nbsp;The RCP may be RCP 2.6, RCP 4.5, RCP 6.0, or RCP 8.5; the years are &quot;2020&quot;, for average impacts during 2020 - 2039, &quot;2040&quot; for impacts 2040 - 2059, and &quot;2080&quot; for impacts 2080 - 2099. &nbsp;Files with the suffix &#39;b.csv&#39; contain percent changes; those with the suffix &#39;-absolute.csv&#39; contain level changes in MT.</p> <p>The columns of these files specify the region (using the FIPS code for counties), and the quantiles from 1% (&quot;q0.01&quot;) to 99% (&quot;q0.99&quot;).</p>