The median sales price of the existing privately owned single-family homes in the United States increased slightly in 2024. The most expensive homes were found in San Jose-Sunnyvale-Santa Clara, CA, where the median sales price was *** million U.S. dollars. Hawaii and Delaware experienced the strongest home appreciation.

The Mexican residential real estate market, valued at $14.51 billion in 2025, exhibits a promising growth trajectory with a Compound Annual Growth Rate (CAGR) of 4.14% projected from 2025 to 2033. This robust expansion is fueled by several key drivers. A growing middle class with increasing disposable income is a significant factor, alongside government initiatives promoting affordable housing and infrastructure development. Urbanization continues to drive demand, particularly in major metropolitan areas like Mexico City, Guadalajara, and Monterrey. Furthermore, the tourism sector's influence on secondary housing markets in coastal and resort regions contributes significantly to the overall market dynamism. However, challenges exist; fluctuations in the Mexican Peso against the US dollar can affect investment sentiment, and interest rate changes impact mortgage accessibility. Regulatory hurdles and bureaucratic processes related to land ownership and construction permits sometimes impede development. The market is segmented by property type, with apartments and condominiums likely holding the largest share, followed by landed houses and villas, reflecting diverse consumer preferences and housing needs. Competition is intense, with a mix of both large national developers like Grupo Lar and Grupo Sordo Madaleno, alongside smaller regional players vying for market share. The market's future success depends on navigating these challenges effectively while capitalizing on the underlying growth opportunities. The projected market expansion will likely see a more pronounced increase in higher-value segments (landed houses and villas) as rising incomes fuel demand for luxury properties. Geographical variations are expected; while urban centers will experience sustained growth, resort areas might see more volatile fluctuations influenced by tourism trends. The market's resilience will be tested by its ability to adapt to potential economic shifts and effectively address regulatory constraints. Continuous investment in infrastructure and supportive government policies will be pivotal in fostering sustainable and inclusive growth across all market segments within the forecast period. The presence of both large and small players ensures a competitive landscape, promoting innovation and diversification within the industry. Recent developments include: June 2023: Habi, a prominent real estate technology platform, is set to receive a substantial financial boost of USD 15 million from IDB Invest. This funding, spread over four years, aims to fuel Habi's expansion plans in Mexico. While the structured loan has the potential to reach USD 50 million, its primary focus is to cater to Habi's working capital needs. IDB Invest's strategic move is not just about bolstering Habi's growth; it also aims to leverage technology to enhance liquidity and agility in Mexico's secondary real estate markets. By addressing the housing gap in Mexico, this funding initiative is poised to elevate market efficiency, bolster transparency, encourage local contractors for home renovations, and expand Habi's corridor network., June 2023: Celaya Tequila, a premium tequila brand crafted in small batches and co-founded by brothers Matt & Ryan Kalil, is forging a philanthropic alliance with New Story, a non-profit dedicated to eradicating global homelessness. In a groundbreaking move, Celaya Tequila pledges to contribute a percentage of sales from every bottle towards an affordable housing endeavor in Jalisco, Mexico. This endeavor aims to empower underprivileged families in Jalisco by enhancing their access to homes and land ownership.. Key drivers for this market are: 4., Increasing Residential Real Estate Demand by Young People4.; Increase in Average Housing Price in Mexico. Potential restraints include: 4., Increasing Residential Real Estate Demand by Young People4.; Increase in Average Housing Price in Mexico. Notable trends are: Demand for Residential Real Estate Witnessing Notable Surge, Primarily Driven by Young Homebuyers.

Context

The purpose of this dataset is to provide updated data on the Zillow Observed Rent Index (ZORI). Most of the Zillow datasets on Kaggle have not been updated in four years, and no other dataset except one contains information related to rent. Providing updated data on this will also allow the community to analyze the effects of COVID-19 on rent prices, which could not be done with previous available data sets.

Content

Zillow Observed Rent Index (ZORI): A smoothed measure of the typical observed market rate rent across a given region. ZORI is a repeat-rent index that is weighted to the rental housing stock to ensure representativeness across the entire market, not just those homes currently listed for-rent. The index is dollar-denominated by computing the mean of listed rents that fall into the 40th to 60th percentile range for all homes and apartments in a given region, which is once again weighted to reflect the rental housing stock. Details available in ZORI methodology. https://www.zillow.com/research/methodology-zori-repeat-rent-27092/

This dataset contains two files. The Metro dataset looks at the median rent prices for large US cities. The ZIP code dataset breaks the US cities down by their ZIP codes. Note that the region IDs in both datasets are only used for tracking purposes. Also, some of the ZIP codes under the Region Name are less than the standard five-digit zip code and unreliable. Even if you add zeros in accounting for possible formatting mistakes. It is recommended to remove these entries since there is no way to identify which ZIP code the entry actually represents. These entries are left in here in case some analyst can solve the issue.

Acknowledgements

Zillow provides many useful open source datasets that relate to housing, which can be found at Zillow Research Data. https://www.zillow.com/research/data/ This dataset was also prompted by an older dataset I came across that only lacked updated data. https://www.kaggle.com/zillow/rent-index Thumbnail and banner picture is from this pixabay artist https://pixabay.com/users/pexels-2286921/

Inspiration

1. Where are the cheapest and most expensive ZIP codes to live?
2. We all know rent increases overtime, but has it been increasing at a faster rate since 2014?
3. If rent has been increasing at a faster rate, what year did it increase the fastest?
4. What cities or ZIP codes are increasing rent the fastest and by how much?
5. Did rent continue to increase during the COVID-19 pandemic, and was it at a faster or slower rate than previous years?

Donuka offers a simple, reliable property data solution to power innovation and create seamless business solutions for companies of all sizes. Our data covers more than 127 million properties spread out across the U.S. that can be accessed in bulk-file format or through our APIs.

We offer access to data ONLY in selected states and counties

DATA SOURCES:

1. ONLY state sources (city/county/state administration, federal agencies, ministries, etc.). We DO NOT use unverified databases
2. Over 2300 sources. We use even the smallest sources, because they contain valuable data. This allows us to provide our users with the most complete data

DATA RELEVANCE:

1. Our data is updated daily, weekly, monthly depending on the sources
2. We collect, process and store all data, regardless of their relevance. Historical data is also valuable

DATA TYPES:

1. Specifications
2. Owners
3. Permits
4. Sales
5. Inspections
6. Violations
7. Assessed values
8. Taxes
9. Risks
10. Foreclosures
11. Property Tax Liens
12. Deed Restrictions

NUMBERS:

1. 2300+ data sources in total
2. 4 billion records (listed in the "data types" block above) in total
3. 2 million new records every day

DATA USAGE:

1. Property check, investigation (even the smallest events are stored in our database)
2. Prospecting (more than 100 parameters to find the required records)
3. Tracking (our data allows us to track any changes)

According to Cognitive Market Research, the global Residential Real Estate market size was USD 32651.6 million in 2024. It will expand at a compound annual growth rate (CAGR) of 5.50% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 13060.64 million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.7% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 9795.48 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 7509.87 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.5% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 1632.58 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.9% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 653.03 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.2% from 2024 to 2031.
The single-family homes category is the fastest growing segment of the Residential Real Estate industry

Market Dynamics of Residential Real Estate Market

Key Drivers for Residential Real Estate Market

Increasing population drives housing demand to Boost Market Growth

Increasing population drives housing demand by creating a need for more residential spaces to accommodate growing numbers of people. As population rises, particularly in urban and suburban areas, demand for housing expands, fueling the residential real estate market. This is especially evident in countries experiencing rapid urbanization, where people move to cities seeking better job opportunities, education, and lifestyle options, further increasing housing needs. Additionally, population growth often correlates with the formation of new households, such as young families or individuals moving out on their own, intensifying the demand for housing units. In response, developers and investors are motivated to build more residential properties, ranging from single-family homes to multifamily units, contributing to market growth and driving real estate values upward. For instance, The Ashwin Sheth Group aims to broaden its residential and commercial offerings in the Mumbai Metropolitan Region (MMR) of India.

Rising incomes and economic stability to Drive Market Growth

Rising incomes and economic stability drive the residential real estate market by boosting consumers’ purchasing power and confidence in long-term investments like homeownership. As incomes increase, people can afford larger down payments, qualify for higher loan amounts, and manage mortgage payments more comfortably, making home buying a more viable option. Economic stability, characterized by low unemployment rates and steady GDP growth, reinforces this confidence, as individuals feel secure in their financial situations. With greater disposable income, many consumers seek to upgrade to larger homes, buy second properties, or invest in luxury real estate, further fueling demand. This economic backdrop attracts both local and foreign investors, leading to more housing developments, increased property values, and a flourishing residential real estate market.

Restraint Factor for the Residential Real Estate Market

High Property Prices will Limit Market Growth

High property prices restrain the residential real estate market by making homeownership unaffordable for a significant portion of the population. As prices rise, potential buyers, particularly first-time homeowners and low- to middle-income families, may find it challenging to secure adequate financing or meet the necessary down payment requirements. This affordability crisis limits the pool of qualified buyers, leading to slower sales and potential stagnation in market growth. Additionally, high property prices can prompt increased demand for rental properties, shifting focus away from home purchases. In markets where prices escalate rapidly, even affluent buyers may hesitate, fearing potential market corrections. Consequently, elevated property values can create a barrier to entry, ultimately restricting the overall health and vibrancy of the residential real estate market.

Impact of Covid-19 on the Residential Real Estate Market

The COVI...

Context

Zillow operates an industry-leading economics and analytics bureau led by Zillow’s Chief Economist, Dr. Stan Humphries. At Zillow, Dr. Humphries and his team of economists and data analysts produce extensive housing data and analysis covering more than 500 markets nationwide. Zillow Research produces various real estate, rental and mortgage-related metrics and publishes unique analyses on current topics and trends affecting the housing market.

At Zillow’s core is our living database of more than 100 million U.S. homes, featuring both public and user-generated information including number of bedrooms and bathrooms, tax assessments, home sales and listing data of homes for sale and for rent. This data allows us to calculate, among other indicators, the Zestimate, a highly accurate, automated, estimated value of almost every home in the country as well as the Zillow Home Value Index and Zillow Rent Index, leading measures of median home values and rents.

Content

The Zillow Rent Index is the median estimated monthly rental price for a given area, and covers multifamily, single family, condominium, and cooperative homes in Zillow’s database, regardless of whether they are currently listed for rent. It is expressed in dollars and is seasonally adjusted. The Zillow Rent Index is published at the national, state, metro, county, city, neighborhood, and zip code levels.

Zillow produces rent estimates (Rent Zestimates) based on proprietary statistical and machine learning models. Within each county or state, the models observe recent rental listings and learn the relative contribution of various home attributes in predicting prevailing rents. These home attributes include physical facts about the home, prior sale transactions, tax assessment information and geographic location as well as the estimated market value of the home (Zestimate). Based on the patterns learned, these models estimate rental prices on all homes, including those not presently for rent. Because of the availability of Zillow rental listing data used to train the models, Rent Zestimates are only available back to November 2010; therefore, each ZRI time series starts on the same date.

Acknowledgements

The rent index data was calculated from Zillow's proprietary Rent Zestimates and published on its website.

Inspiration

What city has the highest and lowest rental prices in the country? Which metropolitan area is the most expensive to live in? Where have rental prices increased in the past five years and where have they remained the same? What city or state has the lowest cost per square foot?

In Seoul, luxury home prices surged by over **** percent between December 2023 and December 2024, making it the fastest growing luxury real estate market worldwide. In the United States, Orange County was the market where prices rose the most during that period. Manila was the Asia-Pacific (APAC) city that experienced the most price growth in the luxury market, amounting to **** percent.

About This Data

This is a list of over 2,000 vacation rental properties in Palm Springs, CA provided by Datafiniti's Property Database.

The dataset includes property name, # beds, # bathrooms, price, and more. Each property will have an entry for each price found for it and so a single property may have multiple entries.

Note that this is a sample of a large dataset. The full dataset is available through Datafiniti.

What You Can Do With This Data

A similar dataset was used to determine the most and least expensive cities for short-term vacation rentals in the US. E.g.:

• What are the least and most expensive one-bed rentals?
• What are the least and most expensive two-bed rentals?
• What are the least and most expensive three-bed rentals?
• What is the median price for short-term rental properties?
• What is the variation in rental prices?

Data Schema

A full schema for the data is available in our support documentation.

About Datafiniti

Datafiniti provides instant access to web data. We compile data from thousands of websites to create standardized databases of business, product, and property information. Learn more.

Interested in the Full Dataset?

Get this data and more by creating a free Datafiniti account or requesting a demo.

DATA SOURCES:

1. ONLY state sources (city/county/state administration, federal agencies, ministries, etc.). We DO NOT use unverified databases
2. Over 2300 sources. We use even the smallest sources, because they contain valuable data. This allows us to provide our users with the most complete data

DATA RELEVANCE:

1. Our data is updated daily, weekly, monthly depending on the sources
2. We collect, process and store all data, regardless of their relevance. Historical data is also valuable

DATA TYPES:

1. Specifications
2. Owners
3. Permits
4. Sales
5. Inspections
6. Violations
7. Assessed values
8. Taxes
9. Risks
10. Foreclosures
11. Property Tax Liens
12. Deed Restrictions

NUMBERS:

1. 2300 data sources in total
2. 217 data sources in New York City
3. 4 billion records (listed in the "data types" block above) in total
4. 2 million new records every day

DATA USAGE:

1. Property check, investigation (even the smallest events are stored in our database)
2. Prospecting (more than 100 parameters to find the required records)
3. Tracking (our data allows us to track any changes)

Portugal, Canada, and the United States were the countries with the highest house price to income ratio in 2024. In all three countries, the index exceeded 130 index points, while the average for all OECD countries stood at 116.2 index points. The index measures the development of housing affordability and is calculated by dividing nominal house price by nominal disposable income per head, with 2015 set as a base year when the index amounted to 100. An index value of 120, for example, would mean that house price growth has outpaced income growth by 20 percent since 2015. How have house prices worldwide changed since the COVID-19 pandemic? House prices started to rise gradually after the global financial crisis (2007–2008), but this trend accelerated with the pandemic. The countries with advanced economies, which usually have mature housing markets, experienced stronger growth than countries with emerging economies. Real house price growth (accounting for inflation) peaked in 2022 and has since lost some of the gain. Although, many countries experienced a decline in house prices, the global house price index shows that property prices in 2023 were still substantially higher than before COVID-19. Renting vs. buying In the past, house prices have grown faster than rents. However, the home affordability has been declining notably, with a direct impact on rental prices. As people struggle to buy a property of their own, they often turn to rental accommodation. This has resulted in a growing demand for rental apartments and soaring rental prices.

This statistic illustrates the value of leading European prime retail rents in the first quarter of 2017, by city. It can be seen that Paris had the highest retail rents at ***** U.S dollars per square foot. This was followed by London and Milan at ***** US dollars and *** US dollars per square foot respectively. Comparatively Frankfurt yielded retail rents of *** US dollars per square foot, almost a quarter that of Paris retail rents.

I found this dataset on NYC's Open Data website. NYC does a very good job of tracking their data. This data shows as of June 30, 2021 all the valuations of all the properties in NYC. There are 9.85 million rows! This is a wonderful dataset to exercise data exploration at a large scale and practice using data management tools like pandas!

Inside you will find specific information of each property such as property type, the borough it is in, and if it is privately or publicly owned. You can see the monetary values set forth by NYC's Department of Finance for the properties. You can answer questions such as: What is the total sum of all the property values in Manhattan?

All the credit for this dataset goes to NYC's Open Data website. Link can be found here: https://data.cityofnewyork.us/City-Government/Property-Valuation-and-Assessment-Data/yjxr-fw8i

How will each borough in NYC grow or shrink in prices? What will the prices be in the future? What are the most expensive properties? What is the standard deviation for prices per borough? What is the correlation between property tax class and price of property? The list of questions can go on and on!

Thanks to a bustling online retail scene, the Storage and Warehouse Leasing industry thrives. With e-commerce businesses maintaining a wide array of inventory, demand for storage and warehousing has shot up. Another key trend has been the necessity for these facilities to be located near city centers to ensure quicker deliveries. Urbanization and downsizing have led to more people living in cramped spaces, boosting demand for self-storage solutions. Technological advancements like automated retrieval systems and intelligent inventory management software have also been game-changing, making the industry more efficient and competitive. Through the end of 2024, industry revenue has climbed at a CAGR of 5.7% to reach $35.8 billion in 2024, including a climb of 2.3% in 2024 alone. The gain in online shopping and faster delivery expectations has increased demand for urban warehouse solutions. Growing urbanization has pushed people into smaller living spaces, increasing reliance on personal storage solutions like self-storage units. Technological integrations have streamlined operations and societal changes, boosting the industry's profit. However, higher interest rates pose a challenge, making investments more expensive and potentially affecting expansion and property values. Through the end of 2029, demand for urban warehousing solutions will continue to expand, driven mainly by the shift toward online shopping. Also, a growing pharmaceutical market will command a need for specialized warehousing solutions. A trend for smaller storage spaces is also on the horizon, driven by high real estate costs and the needs of SMEs and cramped city dwellers. The push towards sustainability will also be a significant influence as warehouses look to integrate green practices to stand out in the market. This green transition might be initially costly, but in the long term, this shift will provide cost savings and a boosted public image, lifting the industry's overall prospects. Through the end of 2029, industry revenue will expand at a CAGR of 2.9% to reach $41.4 billion.

As of 2024, Casablanca was the Moroccan city with the highest average prices for villas and apartments. These amounted to ****** Moroccan dirhams (MAD) per square meter (roughly ***** U.S. dollars) and ****** MAD per square meter (roughly ***** U.S. dollars), respectively. Moreover, the capital city, Rabat, followed as the second most expensive real estate hub in the country for both villas and apartments.

Innsbruck was the most expensive Austrian city to buy an apartment in, with average values of 7,700 euros per square meter in the first quarter of 2025. The price of an apartment in Graz was significantly lower at 4,590 euros per square meter.

Mexico's housing market demonstrates significant regional price variations, with Mexico City emerging as the most expensive area for residential property in the third quarter of 2025. The capital city's average house price of 3.93 million Mexican pesos far exceeds the national average of 1.86 million pesos, highlighting the stark contrast in property values across the country. This disparity reflects broader economic and demographic trends shaping Mexico's real estate landscape. Sustained growth in housing prices The Mexican housing market has experienced substantial growth over the past decade, with home prices more than doubling since 2010. By the second quarter of 2025, the nominal house price index reached 287 points, representing a 187 percent increase from the baseline year. Even when adjusted for inflation, the real house price index showed a notable 50 percent growth, underscoring the market's resilience and attractiveness to investors. The mortgage market is dominated by three main player types: Infonavit, Fovissste, and commercial banks including Sofomes. In 2023, Infonavit, a scheme by Mexico's National Housing Fund Institute which provides lending to workers in the formal sector, was responsible for the majority of mortgages granted to individuals. Challenges in mortgage lending Despite the overall growth in housing prices, Mexico's mortgage market has faced challenges in recent years. The number of new mortgage loans granted has declined over the past decade, falling by approximately 200,000 loans between 2008 and 2023. This decrease in lending activity may be attributed to various factors, including economic uncertainties and changing consumer preferences. The state of Mexico, which is home to 13 percent of the country's population, likely plays a significant role in shaping these trends given its large demographic influence on the national housing market.

When it comes to luxury real estate, Dubai led the global luxury real estate market with the most property sales. In the first quarter of 2023, over *** sales of properties valued above ** million U.S. dollars took place in Dubai. New York followed closely with *** transactions, while London took the third place with *** transactions. The market experienced a downturn after the first quarter of 2022, with worldwide sales gradually declining in the subsequent quarters of 2022. A recovery was observed in the first quarter 2023, with *** property sales.

In 2019, the city in the Asia Pacific region which was the most expensive in terms of prime real estate was Hong Kong, in which prime real estate cost on average **** thousand U.S. dollars per square meter. Contrastingly, in Manila prime real estate cost on average just under *** thousand U.S. dollars per square meter in 2019

Puerto Madero in Buenos Aires, Argentina, was one of the most expensive neighborhoods for residential property in Latin America in 2023, with an average square meter price of almost 5,500 U.S. dollars per square meter. Ipanema in Rio de Janeiro and Del Valle in Monterrey completed the top three with average price of about 4,000 U.S. dollars per square meter respectively.

The average rent per square foot in the largest research and development (R&D) and life science real estate markets in the United States varied greatly in the first half of 2023. New York City, Chicago, and San Francisco Bay Area were the most expensive markets to rent life science real estate in the first half of 2023. On average, a square foot of life science real estate cost about ***** U.S. dollars to buy in the same period.