Graph and download economic data for Residential Property Prices for India (QINN628BIS) from Q1 2009 to Q2 2025 about India, residential, HPI, housing, price index, indexes, and price.

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.

CEIC calculates House Prices Growth from quarterly House Price Index. National Housing Bank provides House Price Index with base 2017-2018=100. House Prices Growth covers Mumbai only. House Prices Growth prior to Q2 2014 is calculated from House Price Index with base 2007=100.

Residential Property Prices in India increased 3.13 percent in March of 2025 over the same month in the previous year. This dataset includes a chart with historical data for India Residential Property Prices.

Graph and download economic data for Real Residential Property Prices for India (QINR628BIS) from Q1 2009 to Q2 2025 about India, residential, HPI, housing, real, price index, indexes, and price.

Context

So this data set is collected for completing a college project ,which is an android app for calculating the price of houses.

Content

This data is scraped from magic bricks website between june 2021 and july 2021 .

Acknowledgements

magicbricks.com

Inspiration

With the help of the data available one can make a regression model to predict house prices.

India's residential house prices - quarterly and annual changes in house prices across cities, expert analysis and comparison with global peers.

Dataset Overview :

This dataset is created as part of a machine learning mini project on House Price Prediction in India. It includes key features commonly used to predict house prices such as:

1) Number of bedrooms 2) Property type (e.g., Apartment, House) 3) Location 4) Area in square feet 5) Price per square foot 6) Total price

Column Description :

Column	Description
bhk	Number of bedrooms
propertytype	Type of property
location	City or locality
sqft	Total built-up area in square feet
pricepersqft	Price per square foot (in INR)
totalprice	Final price of the property (in INR)

Usage :

This dataset can be used to: --> Build a house price prediction model using ML algorithms --> Perform data visualization or feature correlation --> Understand real estate pricing trends in India

Housing Index in India increased to 122 points in the first quarter of 2025 from 120 points in the fourth quarter of 2024. This dataset provides - India NHB Residex - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset provides comprehensive information about rental house prices across various locations in India. It includes details such as house type, size, location, city, latitude, longitude, price, currency, number of bathrooms, number of balconies, negotiability of price, price per square foot, verification date, description of the property, security deposit, and status of furnishing (furnished, unfurnished, semi-furnished).

Note: This is Recently scraped data of April 2024.

Dataset Glossary (Column-Wise)

• House Type: Type of house (e.g., apartment, villa, duplex).
• House Size: Size of the house in square feet or square meters.
• Location: Specific area or neighborhood where the property is located.
• City: City in India where the property is situated.
• Latitude: Geographic latitude coordinates of the property location.
• Longitude: Geographic longitude coordinates of the property location.
• Price: Rental price of the house.
• Currency: Currency in which the price is denoted (e.g., INR - Indian Rupees).
• Number of Bathrooms: Total number of bathrooms in the house.
• Number of Balconies: Total number of balconies in the house.
• Negotiability: Indicates whether the price is negotiable (Yes/No).
• Price per Square Foot: Price of the house per square foot.
• Verification Date: Date when the rental information was verified.
• Description: Additional description or details about the property.
• Security Deposit: Amount of security deposit required for renting the property.
• Status: Indicates the furnishing status of the property (furnished, unfurnished, semi-furnished).

Usage

This dataset aims to provide valuable insights into the rental housing market in India, enabling analysis of rental trends, comparison of prices across different locations and property types, and understanding the impact of various factors on rental prices. Researchers, analysts, and policymakers can utilize this dataset for a wide range of applications, including real estate market analysis, urban planning, and economic research.

Acknowledgement

This Dataset is created from https://www.makaan.com/. If you want to learn more, you can visit the Website.

Cover Photo by: Playground.ai

India Housing Price Index: 2008-09Q4=100: Mumbai data was reported at 248.600 2008-09Q4=100 in Mar 2013. This records an increase from the previous number of 248.500 2008-09Q4=100 for Dec 2012. India Housing Price Index: 2008-09Q4=100: Mumbai data is updated quarterly, averaging 96.850 2008-09Q4=100 from Jun 2003 (Median) to Mar 2013, with 40 observations. The data reached an all-time high of 248.600 2008-09Q4=100 in Mar 2013 and a record low of 52.900 2008-09Q4=100 in Dec 2003. India Housing Price Index: 2008-09Q4=100: Mumbai data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under Global Database’s India – Table IN.EA001: Housing Price Index: Reserve Bank of India. Rebased from 2008-09Q4=100 to 2010-11Q1=100. Replacement series ID: 354942667

As of the first quarter of 2023, year-on-year real estate price increase was highest in Bengaluru and lowest in Chennai with **** and *** percent respectively. Followed by Bengaluru was Kochi and Delhi with an increase of **** and **** percent.

India IN: House Price Index: Nominal: sa data was reported at 149.020 2015=100 in Dec 2024. This records a decrease from the previous number of 149.115 2015=100 for Sep 2024. India IN: House Price Index: Nominal: sa data is updated quarterly, averaging 111.391 2015=100 from Mar 2009 (Median) to Dec 2024, with 64 observations. The data reached an all-time high of 149.115 2015=100 in Sep 2024 and a record low of 34.745 2015=100 in Mar 2009. India IN: House Price Index: Nominal: sa data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s India – Table IN.OECD.AHPI: House Price Index: Seasonally Adjusted: Non OECD Member: Quarterly. Urban areas - 10 main cities; Seasonnally adjusted by OECD, using the X-12 ARIMA method; Residential property prices, sales of newly-built and existing dwellings, all types of dwellings The source for recent figures is same as the OECD Residential Property Price Indices (RPPIs) - Headline indicators database. Sales

Real Estate / Housing Dataset

This dataset is web scrapped from a real estate website, collecting all the necessary infos on the resale and new properties. It has around 14000+ rows of data having properties from various Indian cities like Chennai, Mumbai, Bangalore, Delhi, Pune, Kolkata and Hyderabad. Columns:

Name: Property Name, Property Title: Property Ad Title, Price: Property Price Location: Property Located Locality and Region Total Area: Total SQFT of the property Price Per SQFT: Price of Per SQFT of the property Description: Small paragraph about the property Baths: Number of baths in the property Balcony: Whether the Property has balcony or not

India Housing Price Index: 2008-09Q4=100: Delhi data was reported at 259.200 2008-09Q4=100 in Mar 2013. This records an increase from the previous number of 247.800 2008-09Q4=100 for Dec 2012. India Housing Price Index: 2008-09Q4=100: Delhi data is updated quarterly, averaging 135.200 2008-09Q4=100 from Mar 2009 (Median) to Mar 2013, with 17 observations. The data reached an all-time high of 259.200 2008-09Q4=100 in Mar 2013 and a record low of 99.700 2008-09Q4=100 in Dec 2009. India Housing Price Index: 2008-09Q4=100: Delhi data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under Global Database’s India – Table IN.EA001: Housing Price Index: Reserve Bank of India. Rebased from 2008-09Q4=100 to 2010-11Q1=100. Replacement series ID: 354942677

This statistic shows the average residential property prices in India in 2015, by location. In 2015, the average residential property price in Ulwe, Mumbai was ************ rupees per square foot. It was the highest in Madh-Marve in Mumbai during the measured time period.

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.

Key information about India Gold Production

• India Real Residential Property Price Index was reported at 163.521 2010=100 in Jun 2025.
• This records an increase from the previous number of 160.894 2010=100 for Mar 2025.
• India Real Residential Property Price Index data is updated quarterly, averaging 170.267 2010=100 from Mar 2009 to Jun 2025, with 66 observations.
• The data reached an all-time high of 177.067 2010=100 in Jun 2019 and a record low of 88.901 2010=100 in Mar 2009.
• India Real Residential Property Price Index data remains active status in CEIC and is reported by Bank for International Settlements.
• The data is categorized under World Trend Plus’s Association: Property Sector – Table RK.BIS.RPPI: Selected Real Residential Property Price Index: 2010=100: Quarterly. [COVID-19-IMPACT]

The India Real Estate Market Report is Segmented by Business Model (Sales and Rental), by Property Type (Residential and Commercial), by End-User (Individuals/Households, Corporates & SMEs and Others), and by City (Mumbai Metropolitan Region, Delhi NCR, Pune, Bengaluru, Hyderabad, Chennai, Kolkata, Ahmedabad, and the Rest of India). The Market Forecasts are Provided in Terms of Value (USD).

In 2023, Ahmedabad had the most affordable housing market of the eight biggest metropolitan areas in India with a proportion of ** percent of income to monthly instalment of a housing unit. In Mumbai the affordability index was at ** percent, the only city with higher than threshold affordability ratio set at ** percent. However, the affordability index has significantly improved from pre-pandemic times in 2019 for many cities including Mumbai, Bengaluru and NCR.

The India Residential Real Estate Market is experiencing robust growth, projected to reach a market size of $227.26 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 24.77% from 2025 to 2033. This expansion is driven by several factors, including a burgeoning middle class with increasing disposable incomes, favorable government policies promoting affordable housing, and urbanization trends leading to a significant demand for residential properties across major metropolitan areas. The market is segmented into Condominiums and Apartments and Villas and Landed Houses, with both segments contributing significantly to overall growth. Key players such as DLF, Oberoi Realty, and Godrej Properties are shaping the market landscape through large-scale projects and innovative offerings. However, challenges remain, including high construction costs, regulatory complexities, and land acquisition hurdles, which could potentially moderate growth in certain regions. The forecast suggests continued market expansion, particularly in high-growth urban centers, fueled by ongoing infrastructure development and improved connectivity. The competitive landscape is intense, with both established players and new entrants vying for market share. The increasing preference for luxury apartments and sustainable housing options presents opportunities for developers to cater to evolving consumer preferences. Government initiatives focusing on affordable housing schemes are expected to further stimulate demand, particularly in the affordable housing segment. The market's trajectory suggests a positive outlook, although careful consideration of macroeconomic factors and potential risks is crucial for informed decision-making. Continued monitoring of evolving consumer preferences, technological advancements, and regulatory changes will be essential for sustained success in this dynamic market. This report provides a detailed analysis of the Indian residential real estate market, covering the historical period (2019-2024), the base year (2025), and forecasting the market's trajectory until 2033. It delves into market size, segmentation, key trends, growth drivers, challenges, and significant developments, offering valuable insights for investors, developers, and stakeholders. The report leverages data encompassing condominiums and apartments, villas and landed houses, and examines the impact of key players and regulatory changes. This in-depth analysis will help you navigate the complexities of this dynamic market and make informed decisions. Recent developments include: October 2022- Shriram Properties Ltd and ASK Property Fund agreed to establish an INR 500 crore (USD 608.98 million) investment platform to acquire housing projects. Both companies have signed an agreement to establish an investment platform to acquire residential real estate projects. Shriram and ASK will co-invest in plotted residential development projects in Bengaluru, Chennai, and Hyderabad as part of the platform agreement., October 2022- Magnolia Quality Development Corporation (MQDC), a Bangkok-based property development firm, was in talks with multiple landowners to acquire a large plot for a residential project in the NCR. The company plans to launch its flagship luxury residential real estate project in India and is discussing a possible transaction with property consultants and developers.. Key drivers for this market are: Growing urban population driving the growth of transportation infrastructure., Sultanate's Economic Diversification Plan (Vision 2040) to provide new growth to the market. Potential restraints include: Delay in project approvals, High cost of materials. Notable trends are: Increasing Demand for Big Residential Spaces Driving the Market.