Key information about House Prices Growth

• US house prices grew 5.2% YoY in Sep 2024, following an increase of 6.2% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 1992 to Sep 2024, with an average growth rate of 5.5%.
• House price data reached an all-time high of 17.7% in Sep 2021 and a record low of -12.4% in Dec 2008.

CEIC calculates House Prices Growth from quarterly House Price Index. Federal Housing Finance Agency provides House Price Index with base January 1991=100.

In 2021, Allegheny County Economic Development (ACED), in partnership with Urban Redevelopment Authority of Pittsburgh(URA), completed the a Market Value Analysis (MVA) for Allegheny County. This analysis services as both an update to previous MVA’s commissioned separately by ACED and the URA and combines the MVA for the whole of Allegheny County (inclusive of the City of Pittsburgh). The MVA is a unique tool for characterizing markets because it creates an internally referenced index of a municipality’s residential real estate market. It identifies areas that are the highest demand markets as well as areas of greatest distress, and the various markets types between. The MVA offers insight into the variation in market strength and weakness within and between traditional community boundaries because it uses Census block groups as the unit of analysis. Where market types abut each other on the map becomes instructive about the potential direction of market change, and ultimately, the appropriateness of types of investment or intervention strategies.

This MVA utilized data that helps to define the local real estate market. The data used covers the 2017-2019 period, and data used in the analysis includes:

• Residential Real Estate Sales
• Mortgage Foreclosures
• Residential Vacancy
• Parcel Year Built
• Parcel Condition
• Building Violations
• Owner Occupancy
• Subsidized Housing Units

The MVA uses a statistical technique known as cluster analysis, forming groups of areas (i.e., block groups) that are similar along the MVA descriptors, noted above. The goal is to form groups within which there is a similarity of characteristics within each group, but each group itself different from the others. Using this technique, the MVA condenses vast amounts of data for the universe of all properties to a manageable, meaningful typology of market types that can inform area-appropriate programs and decisions regarding the allocation of resources.

Please refer to the presentation and executive summary for more information about the data, methodology, and findings.

House Price Index YoY in the United States remained unchanged at 4.80 percent in January. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q4 2024 about sales, median, housing, and USA.

Graph and download economic data for Housing Inventory: Median Days on Market in the United States (MEDDAYONMARUS) from Jul 2016 to Feb 2025 about median and USA.

Graph and download economic data for All-Transactions House Price Index for the United States (USSTHPI) from Q1 1975 to Q4 2024 about appraisers, HPI, housing, price index, indexes, price, and USA.

What Makes Our Data Unique?

Autoscraping’s Mexico Real Estate Listings Data is an invaluable resource for anyone seeking in-depth, reliable, and up-to-date information on the Mexican property market. What sets this dataset apart is its breadth and depth, covering over 150,000 property listings from four of the most reputable real estate platforms in Mexico: Propiedades.com, Lamudi, ValoresAMPI, REMAX, and Century21. These platforms are trusted sources of real estate data, ensuring that our dataset is both comprehensive and of the highest quality.

Our data is distinguished by its extensive detail and accuracy. Each listing includes a wide range of attributes, such as property type, location (including geolocation data with latitude and longitude), pricing, surface area (built and terrain), number of bedrooms and bathrooms, amenities (such as balconies, swimming pools, parking spaces), and much more. The data is continually updated to reflect the latest market conditions, including price changes and property status updates.

Additionally, our dataset captures rich metadata from each listing, including the seller’s information (contact details like phone numbers and emails), publication dates, and URLs linking back to the original listings. This level of detail makes our dataset a powerful tool for conducting granular analysis and making informed decisions.

How is the Data Generally Sourced?

The data is sourced from four of Mexico’s leading real estate platforms: Propiedades.com, Lamudi, ValoresAMPI, REMAX, and Century21. Our robust web scraping technology is designed to extract every relevant detail from these platforms efficiently and accurately. We employ advanced scraping techniques that allow us to capture comprehensive data across all major property types, including residential, commercial, and land listings.

The scraping process is automated and conducted at regular intervals to ensure that the data remains current and reflects real-time changes in the market. Each listing undergoes rigorous data cleaning and validation processes to remove duplicates, correct inconsistencies, and ensure the highest possible data quality. The result is a dataset that users can trust to be accurate, up-to-date, and reflective of the actual market conditions.

Primary Use-Cases and Verticals

This Mexico Real Estate Listings Data Product serves a wide range of use cases across various verticals, making it a versatile resource for professionals in different fields:

Real Estate Investment and Analysis: Investors and analysts can use this dataset to identify profitable investment opportunities by analyzing property prices, market trends, and location-based attributes. The detailed metadata, combined with historical pricing information and geolocation data, provides a solid foundation for making informed investment decisions.

Market Research and Trends Analysis: Researchers and market analysts can leverage this data to track and analyze real estate trends across Mexico. The dataset’s comprehensive coverage allows for detailed segmentation by property type, location, price range, and more, enabling users to gain deep insights into market dynamics and consumer behavior.

Urban Planning and Development: Government bodies, urban planners, and developers can utilize this dataset to assess the current state of the real estate market in various regions of Mexico. The geolocation data is particularly valuable for spatial analysis, helping planners understand urban sprawl, housing density, and infrastructure needs.

Real Estate Marketing and Lead Generation: Real estate agencies, marketers, and brokers can use this data to generate leads and tailor their marketing strategies. The inclusion of contact details, such as phone numbers and emails, makes it easier for these professionals to connect with potential buyers and sellers directly, enhancing their ability to close deals.

Location-Based Services and Applications: Companies that offer location-based services or applications can integrate this data to provide users with precise and relevant property information. The high-precision geolocation data allows for accurate mapping and location analysis, adding significant value to location-based tools and platforms.

How Does This Data Product Fit into Our Broader Data Offering?

AUTOScraping’s Mexico Real Estate Listings Data is a key component of our extensive data offering, which spans multiple industries and geographies. This dataset complements our broader portfolio of real estate data products, including those covering the U.S., Europe, and other Latin American countries. By integrating this dataset with our other offerings, users can gain a comprehensive understanding of the global real estate market, allowing for cross-regional comparisons and insights.

In addition to real estate, our broader data offering includes datasets for financial services, consumer behavior, geospatial analysis, an...

This dataset was generated for analyzing the economic impacts of subway networks on housing prices in metropolitan areas. The provision of transit networks and accompanying improvement in accessibility induce various impacts and we focused on the economic impacts realized through housing prices. As a proxy of housing price, we consider the price of condominiums, the dominant housing type in South Korea. Although our focus is transit accessibility and housing prices, the presented dataset is applicable to other studies. In particular, it provides a wide range of variables closely related to housing price, including housing properties, local amenities, local demographic characteristics, and control variables for the seasonality. Many of these variables were scientifically generated by our research team. Various distance variables were constructed in a geographic information system environment based on public data and they are useful not only for exploring environmental impacts on housing prices, but also for other statistical analyses in regard to real estate and social science research. The four metropolitan areas covered by the data—Busan, Daegu, Daejeon, and Gwangju—are independent of the transit systems of Greater Seoul, providing accurate information on the metropolitan structure separate from the capital city.

Nahb Housing Market Index in the United States decreased to 39 points in March from 42 points in February of 2025. This dataset provides the latest reported value for - United States Nahb Housing Market Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The U.S. housing market has slowed, after 13 consecutive years of rising home prices. In 2021, house prices surged by an unprecedented 18 percent, marking the highest increase on record. However, the market has since cooled, with the Freddie Mac House Price Index showing more modest growth between 2022 and 2024. In 2024, home prices increased by 4.2 percent. That was lower than the long-term average of 4.4 percent since 1990. Impact of mortgage rates on homebuying The recent cooling in the housing market can be partly attributed to rising mortgage rates. After reaching a record low of 2.96 percent in 2021, the average annual rate on a 30-year fixed-rate mortgage more than doubled in 2023. This significant increase has made homeownership less affordable for many potential buyers, contributing to a substantial decline in home sales. Despite these challenges, forecasts suggest a potential recovery in the coming years. How much does it cost to buy a house in the U.S.? In 2023, the median sales price of an existing single-family home reached a record high of over 389,000 U.S. dollars. Newly built homes were even pricier, despite a slight decline in the median sales price in 2023. Naturally, home prices continue to vary significantly across the country, with West Virginia being the most affordable state for homebuyers.

Graph and download economic data for Real Residential Property Prices for United States (QUSR628BIS) from Q1 1970 to Q3 2024 about residential, HPI, housing, real, price index, indexes, price, and USA.

Housing Index in the United States increased to 436.50 points in January from 435.80 points in December of 2024. This dataset provides the latest reported value for - United States House Price Index MoM Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for All-Transactions House Price Index for Michigan (MISTHPI) from Q1 1975 to Q4 2024 about MI, appraisers, HPI, housing, price index, indexes, price, and USA.

New housing price index (NHPI). Monthly data are available from January 1981. The table presents data for the most recent reference period and the last four periods. The base period for the index is (201612=100).

Key information about House Prices Growth

• India house prices grew 2.6% YoY in Sep 2024, following an increase of 6.2% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 2011 to Sep 2024, 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.

Existing Home Sales in the United States increased to 4260 Thousand in February from 4090 Thousand in January of 2025. This dataset provides the latest reported value for - United States Existing Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Housing Index in Spain increased to 1972.10 EUR/SQ. METRE in the fourth quarter of 2024 from 1921 EUR/SQ. METRE in the third quarter of 2024. This dataset provides the latest reported value for - Spain House Prices - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Housing Index in Sweden decreased to 942 points in the fourth quarter of 2024 from 943 points in the third quarter of 2024. This dataset provides - Sweden House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The average sales price of new homes in the United States experienced a slight decrease in 2024, dropping to 512,2000 U.S. dollars from the peak of 521,500 U.S. dollars in 2022. This decline came after years of substantial price increases, with the average price surpassing 400,000 U.S. dollars for the first time in 2021. The recent cooling in the housing market reflects broader economic trends and changing consumer sentiment towards homeownership. Factors influencing home prices and affordability The rapid rise in home prices over the past few years has been driven by several factors, including historically low mortgage rates and increased demand during the COVID-19 pandemic. However, the market has since slowed down, with the number of home sales declining by over two million between 2021 and 2023. This decline can be attributed to rising mortgage rates and decreased affordability. The Housing Affordability Index hit a record low of 98.1 in 2023, indicating that the median-income family could no longer afford a median-priced home. Future outlook for the housing market Despite the recent cooling, experts forecast a potential recovery in the coming years. The Freddie Mac House Price Index showed a growth of 6.5 percent in 2023, which is still above the long-term average of 4.4 percent since 1990. However, homebuyer sentiment remains low across all age groups, with people aged 45 to 64 expressing the most pessimistic outlook. The median sales price of existing homes is expected to increase slightly until 2025, suggesting that affordability challenges may persist in the near future.

Annual house price data based on a sub-sample of the Regulated Mortgage Survey.