Analysis of quality of life across Tehran districts based on designated indicators and relational database management system

Tehran's demography and urbanization have undergone dramatic changes since its designation as the capital city over two centuries ago. Currently, possesses 22 districts a few associated regions (cemetery southern suburbs). We considered developed 11 indicators to evaluate quality of life Tehran using Structured Query Language (SQL) algorithms. Indicators were classified into large groups: ‘population characteristics’ ‘city features’. Except for literacy, sharp differences existed between minimum maximum values each indicator. Noticeable in public transport shown among districts. Comparison housing units with 220 square meters size area also revealed difference factor 31, per capita greenery spaces car parking capacities 23. Each indicator was individually select having most optimum condition. Between four combined nominate those higher number conditions. Our proposed approach selected showed high relevancy appropriateness assess typical city. Finally, we concluded paper practical political remarks that may help streamline theories urban governance actual conditions dwellers across world.