A few days ago, we all read about how low the property tax collection rate was in Bangalore. A mere 20% paid their property tax in Bengaluru. Unacceptable for a city like Bengaluru.
“#GIS #bigdata #machinelearning analysis: Bengaluru & Jaipur collect only 5% to 20% of their potential property taxes. #EcoSurvey Ch 14″
Very interesting data has been captured in Chapter 14 of the Economic Survey FY2016-17 (page xiv). Frankly, it is very heartening to see the government has captured such details. Not sure why they haven’t acted upon it to increase the property tax collections. Extracts from this section are mentioned below,
Possibly the government is already working on a solution to identify the property tax evaders. If the databases of various departments talk to each other it is not that difficult to identify the property tax evaders.
By doing a little deep analysis of the data of property taxpayers it is easy to come up with the list of properties who have defaulted. For e.g. in a particular street if house number #100, #102, #103, #108 have paid the property tax the algorithm can identify the missing properties – #101, #104, #105, #106, #107.
The only problem is that addresses in India are not that straight forward (For e.g. Old No 3, New No 1037/A). However machine learning can figure out a pattern of addresses and a simple algorithm can nail property tax defaulters, i.e. only if the government is interested.
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