Context for Georgia’s Prison Admission Rate
by Niels Armbruster

Prison Admin Rates

Rates
County Names
Appling Atkinson Bacon Baker Baldwin Banks Barrow Bartow Ben Hill Berrien Bibb Bleckley Brantley Brooks Bryan Bulloch Burke Butts Calhoun Camden Candler Carroll Catoosa Charlton Chatham Chattahoochee Chattooga Cherokee Clarke Clay Clayton Clinch Cobb Coffee Colquitt Columbia Cook Coweta Crawford Crisp Dade Dawson Decatur DeKalb Dodge Dooly Dougherty Douglas Early Echols Effingham Elbert Emanuel Evans Fannin Fayette Floyd Forsyth Franklin Fulton Gilmer Glascock Glynn Gordon Grady Greene Gwinnett Habersham Hall Hancock Haralson Harris Hart Heard Henry Houston Irwin Jackson Jasper Jeff Davis Jefferson Jenkins Johnson Jones Lamar Lanier Laurens Lee Liberty Lincoln Long Lowndes Lumpkin Macon Madison Marion McDuffie McIntosh Meriwether Miller Mitchell Monroe Montgomery Morgan Murray Muscogee Newton Oconee Oglethorpe Paulding Peach Pickens Pierce Pike Polk Pulaski Putnam Quitman Rabun Randolph Richmond Rockdale Schley Screven Seminole Spalding Stephens Stewart Sumter Talbot Taliaferro Tattnall Taylor Telfair Terrell Thomas Tift Toombs Towns Treutlen Troup Turner Twiggs Union Upson Walker Walton Ware Warren Washington Wayne Webster Wheeler White Whitfield Wilcox Wilkes Wilkinson Worth 0.186 0.131 0.234 0.171 0.226 0.128 0.167 0.249 0.366 0.139 0.209 0.194 0.162 0.146 0.102 0.158 0.271 0.236 0.267 0.073 0.265 0.193 0.129 0.13 0.242 0.084 0.334 0.076 0.139 0.329 0.187 0.262 0.122 0.235 0.144 0.06 0.221 0.124 0.098 0.332 0.14 0.146 0.264 0.121 0.273 0.253 0.303 0.176 0.193 0.059 0.116 0.256 0.228 0.225 0.135 0.058 0.314 0.044 0.222 0.166 0.132 0.108 0.155 0.243 0.184 0.223 0.076 0.102 0.13 0.145 0.205 0.092 0.192 0.212 0.104 0.126 0.209 0.127 0.221 0.176 0.262 0.225 0.153 0.128 0.155 0.201 0.226 0.104 0.12 0.128 0.098 0.134 0.122 0.099 0.383 0.104 0.155 0.174 0.326 0.105 0.224 0.173 0.215 0.195 0.172 0.208 0.258 0.054 0.067 0.096 0.14 0.161 0.161 0.088 0.238 0.202 0.243 0.128 0.133 0.095 0.263 0.169 0.133 0.263 0.148 0.308 0.264 0.133 0.223 0.194 0.109 0.216 0.287 0.241 0.164 0.157 0.179 0.334 0.14 0.214 0.336 0.182 0.186 0.146 0.256 0.191 0.21 0.272 0.169 0.231 0.217 0.12 0.295 0.149 0.264 0.136 0.228 0.204 0.136
Proportion
0.044 0.383

The figure above depicts the prison admission rate in Georgia counties from 2006 to 2022. The
prison admission data was collected by the Georgia Department of Corrections
(https://gdc.ga.gov/Research/Annual_FY_profile_inmate_admissions), while population data for
each county was collected by the US Census Bureau (https://www.census.gov/data/tables/time-series/demo/popest/2010s-counties-total.html). From this, the prison admission rate proportion is calculated as the number of prisoners admitted from 2006 to 2022, who identified with a certain county over the population of that county from 2006 to 2022.

In the United States, counties play an important role in determining success in life, primarily
through the public education system. In Georgia, the state government assesses what they
think is the “local fair share” payment that the county should contribute to the public school
system, and then funds the rest from state and federal funds. Typically, this revenue is driven by
property taxes, meaning that affluent counties will have better-funded school systems. This is
evidenced through the graph above, with counties that score poorly in proportion of people
admitted to prison having a high level of residents below the poverty line. In a much broaderstudy, the Prison Policy Initiative demonstrates the impact that household income has on
incarceration rate (https://www.prisonpolicy.org/reports/income.html).

Additionally, the ACLU demonstrates a relationship between public school education systems and incarceration rates, as low funded public schools lead to overcrowded classrooms, which creates the school-to-prison pipeline (https://www.aclu.org/issues/juvenile-justice/juvenile-justice-school-prison-pipeline). With a public education funding system that benefits affluent counties, we clearly see income and quality of public school systems as cyclical causes of higher incarceration rates.

Lastly, we see a strong connection between unemployment and incarceration rate. According to the Prison Policy Initiative, we see that those incarcerated had a 60% average unemployment rate before being incarcerated, while the average for the US population is 10%(https://www.prisonpolicy.org/blog/2022/02/08/employment/#:~:text=High%20jobless%20rates%20precede%20incarceration%2C%20too&text=So%20while%20the%20overall%20US,by%20sex%2C%20race%20and%20ethnicity.).

*By Niels Armbruster

Niels is a rising junior at Emory University studying Economics and Mathematics, with prior experience with Common Good Atlanta in presenting a policy brief at the Georgia State Capitol to the Higher Education and Public Safety Committees as well as co-founding a peer mentorship program at Burruss Correctional Training Center (https://oxford.emory.edu/news/2022/04/students-visit-prisons-state-legislature.html).

* Map embedded by the coding expertise of David Evans, CGA alumnus