The real estate transaction value in the 'Residential Real Estate Transactions' segment of the real estate market in India was modeled to amount to ************* U.S. dollars in 2024. Following a continuous upward trend, the real estate transaction value has risen by ************* U.S. dollars since 2017. Between 2024 and 2029, the real estate transaction value will rise by ************* U.S. dollars, continuing its consistent upward trajectory.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Residential Real Estate Transactions.

Key information about House Prices Growth

• India house prices grew 2.5% YoY in Jun 2025, following an increase of 5.1% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 2011 to Jun 2025, with an average growth rate of 5.1%.
• House price data reached an all-time high of 30.6% in Mar 2011 and a record low of -11.4% in Sep 2020.

House prices in Mumbai, India, have increased significantly since 2017. The housing price index tracks changes in residential home prices since 2017. In ************, the index stood at ***** index points, suggesting an increase of over ** since the baseline year. Overall, prices experienced the strongest growth in 2023.

NHB: Assessment Price: Housing Price Index: 2017-18=100: Haryana: Gurugram data was reported at 205.000 2017-2018=100 in Dec 2024. This records an increase from the previous number of 198.000 2017-2018=100 for Sep 2024. NHB: Assessment Price: Housing Price Index: 2017-18=100: Haryana: Gurugram data is updated quarterly, averaging 103.000 2017-2018=100 from Jun 2013 (Median) to Dec 2024, with 47 observations. The data reached an all-time high of 205.000 2017-2018=100 in Dec 2024 and a record low of 87.000 2017-2018=100 in Dec 2013. NHB: Assessment Price: Housing Price Index: 2017-18=100: Haryana: Gurugram data remains active status in CEIC and is reported by National Housing Bank. The data is categorized under Global Database’s India – Table IN.EA002: Housing Price Index: National Housing Bank: Assessment Price: 2017-2018=100: Current Quarter.

Context

What are the things that a potential home buyer considers before purchasing a house? The location, the size of the property, vicinity to offices, schools, parks, restaurants, hospitals, or the stereotypical white picket fence? What about the most important factor -- the price? Now with the lingering impact of demonetization, the enforcement of the Real Estate (Regulation and Development) Act (RERA), and the lack of trust in property developers in the city, housing units sold across India in 2017 dropped by 7 percent. In fact, the property prices in Bengaluru fell by almost 5 percent in the second half of 2017, said a study published by property consultancy Knight Frank. For example, for a potential homeowner, over 9,000 apartment projects and flats for sale are available in the range of ₹42-52 lakh, followed by over 7,100 apartments that are in the ₹52-62 lakh budget segment, says a report by property website Makaan. According to the study, there are over 5,000 projects in the ₹15-25 lakh budget segment followed by those in the ₹34-43 lakh budget category. Buying a home, especially in a city like Bengaluru, is a tricky choice. While the major factors are usually the same for all metros, there are others to be considered for the Silicon Valley of India. With its help of the millennial crowd, vibrant culture, great climate, and a slew of job opportunities, it is difficult to ascertain the price of a house in Bengaluru. So what determines the property prices in Namma Bengaluru? Data: The train and test data will consist of various features that describe that property in Bengaluru. This is an actual data set that is curated over months of primary & secondary research by our team. Each row contains a fixed-size object of features. There are 9 features and each feature can be accessed by its name. Features Area_type - describes the area Availability - when it can be possessed or when it is ready(categorical and time-series) Location - where it is located in Bengaluru Price - Value of the property in lakhs(INR) Size - in BHK or Bedroom (1-10 or more) Society - to which society it belongs Total_sqft - the size of the property in sq.ft Bath - No. of bathrooms Balcony - No. of the balcony Problem Statement With the given 9 features(categorical and continuous) build a model to predict the price of houses in Bengaluru.

Contributors

MachineHack is an online platform for Machine Learning competitions. They host the toughest business problems that can now find solutions in Machine Learning & Data Science. https://www.machinehack.com/

A hearty thanks to MachineHack for this well-curated and sought after dataset. We would appreciate it if we get to see the creativity of our Kaggle Forum in a way to better educate Data Scientists around the globe.

About this file What are the things that a potential home buyer considers before purchasing a house? The location, the size of the property, vicinity to offices, schools, parks, restaurants, hospitals or the stereotypical white picket fence? What about the most important factor — the price?

Now with the lingering impact of demonetization, the enforcement of the Real Estate (Regulation and Development) Act (RERA), and the lack of trust in property developers in the city, housing units sold across India in 2017 dropped by 7 percent. In fact, the property prices in Bengaluru fell by almost 5 percent in the second half of 2017, said a study published by property consultancy Knight Frank. For example, for a potential homeowner, over 9,000 apartment projects and flats for sale are available in the range of ₹42-52 lakh, followed by over 7,100 apartments that are in the ₹52-62 lakh budget segment, says a report by property website Makaan. According to the study, there are over 5,000 projects in the ₹15-25 lakh budget segment followed by those in the ₹34-43 lakh budget category.

Buying a home, especially in a city like Bengaluru, is a tricky choice. While the major factors are usually the same for all metros, there are others to be considered for the Silicon Valley of India. With its help millennial crowd, vibrant culture, great climate and a slew of job opportunities, it is difficult to ascertain the price of a house in Bengaluru.

In 2017, the wellness real estate market in India was worth over *** billion U.S. dollars. For 2022, it was estimated to reach nearly *** billion U.S. dollars.

Wellness real estate was driven by a growing demand both in commercial as well as in residential real estate. Elements of wellness real estate can be recreational facilities on residential or commercial complexes, such as gyms, sport courts, spas or yoga studios. Additionally, greenery, walkways, or parks within a complex which influence the health status of inhabitants and workers were counted in.

There was approximately ** percent growth in units sold as of October 2018 as compared to January 2017. The housing quantity index is a tool that tracks changes in housing units sold over years. The sales declined during the pandemic and started recovering after the lockdown restrictions were lifted.

Bengaluru House Price Dataset What are the things that a potential home buyer considers before purchasing a house? The location, the size of the property, vicinity to offices, schools, parks, restaurants, hospitals or the stereotypical white picket fence? What about the most important factor — the price?

Now with the lingering impact of demonetization, the enforcement of the Real Estate (Regulation and Development) Act (RERA), and the lack of trust in property developers in the city, housing units sold across India in 2017 dropped by 7 percent. In fact, the property prices in Bengaluru fell by almost 5 percent in the second half of 2017, said a study published by property consultancy Knight Frank. For example, for a potential homeowner, over 9,000 apartment projects and flats for sale are available in the range of ₹42-52 lakh, followed by over 7,100 apartments that are in the ₹52-62 lakh budget segment, says a report by property website Makaan. According to the study, there are over 5,000 projects in the ₹15-25 lakh budget segment followed by those in the ₹34-43 lakh budget category.

Buying a home, especially in a city like Bengaluru, is a tricky choice. While the major factors are usually the same for all metros, there are others to be considered for the Silicon Valley of India. With its help millennial crowd, vibrant culture, great climate and a slew of job opportunities, it is difficult to ascertain the price of a house in Bengaluru.

NHB: Assessment Price: Housing Price Index: 2017-18=100: Gujarat: Vadodara data was reported at 172.000 2017-2018=100 in Dec 2024. This records an increase from the previous number of 167.000 2017-2018=100 for Sep 2024. NHB: Assessment Price: Housing Price Index: 2017-18=100: Gujarat: Vadodara data is updated quarterly, averaging 112.000 2017-2018=100 from Jun 2013 (Median) to Dec 2024, with 47 observations. The data reached an all-time high of 172.000 2017-2018=100 in Dec 2024 and a record low of 91.000 2017-2018=100 in Sep 2013. NHB: Assessment Price: Housing Price Index: 2017-18=100: Gujarat: Vadodara data remains active status in CEIC and is reported by National Housing Bank. The data is categorized under Global Database’s India – Table IN.EA002: Housing Price Index: National Housing Bank: Assessment Price: 2017-2018=100: Current Quarter.

Housing Price Index: 2012-13=100: Maharashtra: Nashik data was reported at 132.000 2012-2013=100 in Mar 2018. This records a decrease from the previous number of 134.000 2012-2013=100 for Dec 2017. Housing Price Index: 2012-13=100: Maharashtra: Nashik data is updated quarterly, averaging 118.500 2012-2013=100 from Jun 2013 (Median) to Mar 2018, with 20 observations. The data reached an all-time high of 134.000 2012-2013=100 in Dec 2017 and a record low of 105.000 2012-2013=100 in Sep 2013. Housing Price Index: 2012-13=100: Maharashtra: Nashik data remains active status in CEIC and is reported by National Housing Bank. The data is categorized under Global Database’s India – Table IN.EA004: Housing Price Index: National Housing Bank: Assessment Price: 2012-2013=100: Current Quarter.

NHB: Assessment Price: Housing Price Index: 2017-18=100: Madhya Pradesh: Bhopal data was reported at 125.000 2017-2018=100 in Sep 2024. This records an increase from the previous number of 124.000 2017-2018=100 for Jun 2024. NHB: Assessment Price: Housing Price Index: 2017-18=100: Madhya Pradesh: Bhopal data is updated quarterly, averaging 102.000 2017-2018=100 from Jun 2013 (Median) to Sep 2024, with 46 observations. The data reached an all-time high of 125.000 2017-2018=100 in Sep 2024 and a record low of 88.000 2017-2018=100 in Jun 2013. NHB: Assessment Price: Housing Price Index: 2017-18=100: Madhya Pradesh: Bhopal data remains active status in CEIC and is reported by National Housing Bank. The data is categorized under Global Database’s India – Table IN.EA002: Housing Price Index: National Housing Bank: Assessment Price: 2017-2018=100: Current Quarter.

As of May 2025, there were nearly *** million housing units completed across the north Indian state of Uttar Pradesh within the "housing for all" (HFA) program since 2014. The HFA-program is part of the Pradhan Mantri Awas Yojana - Urban scheme of the Indian government. What is affordable housing? The right to housing is recognized as one of the very basic human rights in the Universal Declaration of Human Rights by the United Nations. The basic aim is to provide shelter for every human. The next step is to establish “adequate housing”. Thereby, a few conditions must be met to differentiate basic shelter from adequate housing. One of these conditions is affordability. From a broader perspective, affordability can be measured by correlating income and housing expenses. From a narrower perspective, the costs for housing must not compromise other basic rights such as the right to food or family well-being. Government schemes on affordability Indian governments since independence have focused on the issue of affordable housing in the context of poverty reduction. In 2015, the government announced a “housing for all” program that aimed at providing a safe home to every Indian by 2022. The existing Indira Awas Yojana was renamed in Pradhan Mantri Awas Yojana in the same year and split into one scheme for the urban and one for the rural population. Furthermore, the introduction of Real Estate Regulation Authorities in 2017 is meant to increase transparency on the market and strengthen the rights of buyers.

What are the things that a potential home buyer considers before purchasing a house? The location, the size of the property, vicinity to offices, schools, parks, restaurants, hospitals or the stereotypical white picket fence? What about the most important factor — the price?

Now with the lingering impact of demonetization, the enforcement of the Real Estate (Regulation and Development) Act (RERA), and the lack of trust in property developers in the city, housing units sold across India in 2017 dropped by 7 percent. In fact, the property prices in Bengaluru fell by almost 5 percent in the second half of 2017, said a study published by property consultancy Knight Frank. For example, for a potential homeowner, over 9,000 apartment projects and flats for sale are available in the range of ₹42-52 lakh, followed by over 7,100 apartments that are in the ₹52-62 lakh budget segment, says a report by property website Makaan. According to the study, there are over 5,000 projects in the ₹15-25 lakh budget segment followed by those in the ₹34-43 lakh budget category.

Buying a home, especially in a city like Bengaluru, is a tricky choice. While the major factors are usually the same for all metros, there are others to be considered for the Silicon Valley of India. With its help millennial crowd, vibrant culture, great climate and a slew of job opportunities, it is difficult to ascertain the price of a house in Bengaluru.

This statistic illustrates the market size of auction houses across India from 2014 to 2017. During the measured time period, market size of auction houses across India was approximately *** billion Indian rupees in 2017, down from about *** billion Indian rupees in 2016.

In 2023, housing loans accounted for **** percent of India's GDP and are projected to increase to ** percent by 2025. Over the past six years, the home loan portfolio has experienced significant growth due to increased disbursements fueled by the rising demand from tier-2 and tier-3 cities, increased nuclear families, and growing disposable income.

NHB: Assessment Price: Housing Price Index: 2017-18=100: Uttar Pradesh: Greater Noida data was reported at 205.000 2017-2018=100 in Dec 2024. This records an increase from the previous number of 194.000 2017-2018=100 for Sep 2024. NHB: Assessment Price: Housing Price Index: 2017-18=100: Uttar Pradesh: Greater Noida data is updated quarterly, averaging 105.000 2017-2018=100 from Jun 2013 (Median) to Dec 2024, with 47 observations. The data reached an all-time high of 205.000 2017-2018=100 in Dec 2024 and a record low of 84.000 2017-2018=100 in Jun 2013. NHB: Assessment Price: Housing Price Index: 2017-18=100: Uttar Pradesh: Greater Noida data remains active status in CEIC and is reported by National Housing Bank. The data is categorized under Global Database’s India – Table IN.EA002: Housing Price Index: National Housing Bank: Assessment Price: 2017-2018=100: Current Quarter.

Housing Price Index: 2012-13=100: Punjab: Chandigarh (Tricity) data was reported at 106.000 2012-2013=100 in Mar 2018. This records an increase from the previous number of 98.000 2012-2013=100 for Dec 2017. Housing Price Index: 2012-13=100: Punjab: Chandigarh (Tricity) data is updated quarterly, averaging 97.500 2012-2013=100 from Jun 2013 (Median) to Mar 2018, with 20 observations. The data reached an all-time high of 108.000 2012-2013=100 in Mar 2016 and a record low of 87.000 2012-2013=100 in Sep 2016. Housing Price Index: 2012-13=100: Punjab: Chandigarh (Tricity) data remains active status in CEIC and is reported by National Housing Bank. The data is categorized under Global Database’s India – Table IN.EA004: Housing Price Index: National Housing Bank: Assessment Price: 2012-2013=100: Current Quarter.

Preferred-Stock-and-Other-Adjustments Time Series for Sobha Limited. Sobha Limited engages in the construction, development, sale, management, and operation of residential and commercial real estate under the Sobha brand primarily in India. It operates through two segments, Real Estate, and Contractual and Manufacturing. The Real Estate segment comprises development, sale, management, and operation of townships and housing projects, as well as leasing of commercial premises. The Contractual and Manufacturing segment is involved in the development of commercial premises and other related activities, as well as manufacturing activities related to interiors, glazing, and metal works and concrete products. Its residential real estate portfolio includes apartments, villas, row houses, townships, and plotted developments. The company also provides contracting business services comprising design, civil and structural works, MEP, interior fit-outs, aluminum and glazing systems, and landscaping; glazing and metal works products, such as aluminum doors and windows, structural glazing systems, stainless steel finishes, and pre-engineered building modules tailored for commercial and institutional use; concrete products, including a range of concrete blocks, kerbs, pavers, drainage channels, and paving elements; and interior products that consist of doors, door frames, modular kitchens, wardrobes, customized furniture, paneling, partitions, and upholstered joinery elements; and precast products, including columns, beams, slabs, staircases, and facade panels. The company was formerly known as Sobha Developers Limited and changed its name to Sobha Limited in August 2014. Sobha Limited was incorporated in 1995 and is headquartered in Bengaluru, India.

Housing Price Index: 2012-13=100: Maharashtra: Thane data was reported at 151.000 2012-2013=100 in Mar 2018. This records a decrease from the previous number of 154.000 2012-2013=100 for Dec 2017. Housing Price Index: 2012-13=100: Maharashtra: Thane data is updated quarterly, averaging 139.000 2012-2013=100 from Jun 2013 (Median) to Mar 2018, with 20 observations. The data reached an all-time high of 154.000 2012-2013=100 in Dec 2017 and a record low of 115.000 2012-2013=100 in Jun 2013. Housing Price Index: 2012-13=100: Maharashtra: Thane data remains active status in CEIC and is reported by National Housing Bank. The data is categorized under Global Database’s India – Table IN.EA004: Housing Price Index: National Housing Bank: Assessment Price: 2012-2013=100: Current Quarter.