Historical health indicator data collected by the City of Chicago (https://bit.ly/2IpWiPU) for 77 communities contains vast amount of data which can be efficiently processed with relevant Python packages to show trends in the health indicators by community. In this study, data was downloaded, pre-processed and analysed with Pandas to obtain trends in the health indicators, descriptive statistics were saved as dataframe to generate summary reports containing the ranking of the top five communities. These reports generated with asciidoctor also contained the thematic maps of the trends in the communities. Developed approach is aimed to enhance the existing online reporting