The Institutional District Development Index (IDID) created in 2011 is an instrument for the annual evaluation of the development plans of public entities in the city of Bogotá. In this research, the construction of the indices was carried out using data envelopment analysis (DEA) with a CCR frontier oriented to the inputs as an alternative model to the methodology proposed by the District Office of Institutional Development in 2016. Taking the District data from 2015, the indicators were calculated for the 42 district entities, and their results were organized and classified from highest to lowest. Global sensitivity analysis and uncertainty analysis were performed using the Monte Carlo simulation technique to validate the reliability and stability of the set of indicators. The results of this work were compared with the 2016 calculated indicators, using the District methodology for the same data from 2015. One of these work results is a discrepancy between the set of IDID-DEA indicators and the set of district IDID indicators for each entity. The difference lies in the District's methodology; it uses categorical scales and simple averages to consider each entity individually, where low values are observed, and the entities are being very strict without considering other variables or dynamics of the city. On the other hand, with the DEA methodology, the advantage is that the set of indicators arises from considering all the entities simultaneously, and the classification is generated by comparing the efficiency between them.