We at PropChill aim to provide a Best real estate website in Gurgaon ‘Structured Approach to Property Selection’. In order to achieve this, the entire application is divided into 2 parts. (a) Property Analytics and Comparisons. (b) To generate the ‘bigger picture’ for an investor, as to where to invest, we have the City Insights. Both are briefly explained as under.
- As of now the portal provides the following:-
(a) Analytics and Comparisons. Comparison, ratings and indexing of property, across 5 independent verticals of – Design, Specifications, Conveniences, Propinquity and Cost. There are extensive graphs and matrices for analysis. Ratings are based on proprietary algorithms accounting for 100+ facets.
(b) Property can be compared within a city or across cities (inter/intra city).
(c) City Insights. For a larger picture ‘insights’ has been developed which give out the ‘Liveability Index’ of various cities in India. It is based on 6 independent pillars and accounts for 50+ facets of the cities. The analysis has a drilled down approach, starting at the level of India and going down to the localities.
- What probably would be of interest are the City Insights. These are organised into three sets of webpages, i.e. (a) Insights-India. (b) Insights-City (each city has a separate page). (c) Insights-Locality (each locality within a city has a separate page).
- All cities are rated across 6 independent verticals, namely, Infrastructure, Services, Housing, Socio-Economics, Demography and Topo-Environment, to derive the Liveability Index. The relevant data has been derived from the Census -2011 report and the Financial Survey 2015. The algorithm used for calculating the Liveability Index is proprietary of PropChill at Real estate trends in Gurgaon. All the aspects/facets/data points used have independent ‘weight’ values which contribute towards the overall score. The detailed breakdown of the Liveability Index is available on the respective city page. In order to provide a visually comprehensive analysis data is represented through interactive graphs, organised in different sections. I will now discuss highlights of the content of each of the three sets (paragraph 2 (a), (b), (c)).
4 Insights-India. There are three parts in this section as under.
(a) Comparative of the Liveability Index of cities in India based on 6 independent pillars as represented in the graph below. It is an interactive graph and gives out the score of cities on each of the pillars/verticals. The recently declared Smart Cities are also marked. As per our data Bengaluru has the highest Liveability Index, followed by Hyderabad, Mumbai and Navi Mumbai.
(b) The next set of graphs highlight the distribution of projects/apartments, based on their Segment i.e. Luxury, Mid, Affordable and the Design that includes 1BHK to Penthouses. The analysis highlights as to how cities afford various segments and what are the preferred designs within a city.
(c) Finally, the 3 graphs below, highlight the distribution of projects based on cost range, BSP and the prevailing market rates in the cities. It provides a tool to analyse, how real estate costs are varying across cites in India.
- Insights-City (Chennai). This set of analytics is available across different cities; here we have picked up Chennai as an example.
(a) City Liveability Index. The Liveability Index of cities is calculated based on 6 independent pillars as shown below. Mid Segment Apartments in Gurgaon, each individual pillar has further subheads which have a ‘weighed’ contribution towards the Liveability Index. The overall Liveability score of the city is shown in the top right corner and its rank as compared to other cities is shown below it. The individual score across each pillar and subheads is shown as star ratings.
(b) All projects are rated based on their specifications, amenities offered and location. The percentage distribution of projects (92 in number) across these verticals is as shown under.
(c) Liveability-Investment Index. The index is calculated for localities based on 5 independent verticals. It accounts for the liveability as well as the investment prospects of localities and provide an investor with relevant inputs while considering real estate investments.
(d) The next set of graphs highlight the distribution of projects/apartments across localities, based on their Segment and the Design that includes 1BHK to Penthouses. The analysis highlights as to how localities afford various segments and what are the preferred designs within a locality.
(e) Finally, the 3 graphs below, highlight the distribution of projects based on cost range, BSP and the prevailing market rates in the localities. It provides a tool to analyse, how real estate costs are varying across localities within the city (Chennai).
- Insights-Localities. Localities can be analysed from the real estate perspective based on the Liveability-Investment Index. Areas/sectors/colonies within a Locality can be reviewed based on segment and cost distribution.
(a) The Liveability-Investment Index of localities calculated based on 5 independent verticals of Infrastructure, Connectivity, Conveniences, Real Estate Price Stability and Lutyens’ Rating. Each of these verticals contribute with varying weightage towards the overall index. The details of Mahabalipuram Road in Chennai are as shown below. For example, Mahabalipuram Road ranks 8th out of 17 localities in Chennai (view top right corner of the image below), based on its Liveability-Investment Index.
(b) The chart below highlights the distribution of projects based on Segment and Design. Provides a fair idea to an investor, about the real estate profile of a locality.
(c) The next set of graphs highlight the distribution of projects/apartments across sectors/colonies within the locality, based on their Segment and the cost profile. The analysis highlights as to how sectors/colonies afford various segments and their cost distribution.
The data shared above in the form of graphs and charts is available live on the web-portal. The data can be effectively utilised to analyse, compare and draw logical conclusions for real estate profiling of cities as well as localities. Specific articles can be compiled, based on requirements to generate investor intelligence.