In 2020, Hong Kong had the most expensive residential property market worldwide, with an average property price of 1.25 million U.S. dollars. The government of Hong Kong provide public housing for lower-income residents and almost 45 percent of the Hong Kong population lived in public permanent housing in 2018.

In the United States, Hawaii was the state with the most expensive housing, with the typical value of single-family homes in the 35th to 65th percentile range exceeding ******* U.S. dollars. Unsurprisingly, Hawaii also ranked top as the state with the highest cost of living. Meanwhile, a property was the least expensive in West Virginia, where it cost under ******* U.S. dollars to buy the typical single-family home. Single-family home prices increased across most states in the United States between December 2023 and December 2024, except in Louisiana, Florida, and the District of Colombia. According to the Federal Housing Association, house appreciation in 13 states exceeded **** percent in 2023.

This statistic shows the most costly housing markets in the United States in the first quarter of 2018, by income spent on mortgage. The average mortgage payment in San Diego, California amounted to **** percent of the average income in that period.

Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q2 2025 about sales, median, housing, and USA.

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.

In 2024, San Francisco, was the most expensive metro area for buying a luxury property. The median sale price of the single family homes in the top five percent of the market by market price was *** million U.S. dollars. In Detroit, on the other hand, the median sales price of a luxury housing unit was approximately ******* U.S. dollars.

The Latin America Residential Real Estate Market Report is Segmented by Business Model (Sales and Rental), by Property Type (Apartments & Condominiums and Villas & Landed Houses), by Price Band (Affordable, Mid-Market and Luxury), by Mode of Sale (Primary New-Build, and More), and by Country (Brazil, Mexico, Colombia, Argentina, Chile, and the Rest of Latin America). The Market Forecasts are Provided in Terms of Value (USD).

The median sales price of new homes sold in the United States increased steadily from 1965 to 2022, followed by two years of decline. In 2024, a newly built home cost approximately ******* U.S. dollars. That was a decline from the peak price of 434,500 U.S. dollars in 2022. Prices varied greatly across different regions in the country, with the most expensive housing found in the Northeast region.

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.

In 2019, Hong Kong had the most expensive residential property market worldwide, with an average price per square foot of 1,987 U.S. dollars.

Hong Kong

Hong Kong, an autonomous special administrative region of China, has one of the least affordable housing markets in the world. A region with an estimated 7.49 million people, it has become increasingly difficult to purchase a home in Hong Kong. The spoken languages in Hong Kong are Cantonese, Mandarin, and English.

Hong Kong housing market

The housing market in Hong Kong has seen an increase in prices in the past couple years. There are two types of housing unit offers in Hong Kong, private and public. The number of public rental housing units has been consistently rising since 2008. Nearly half of the public rental apartments in Hong Kong as of March 2018 were between 30 and 39.9 square meters. Not only has the number of public rental housing units increased since 2008, so have the private ones. However, there are more private housing units than public ones in Hong Kong. Additionally, the Home Ownership Scheme exists in Hong Kong. It is a government sponsored program that subsidizes public housing in Hong Kong. First created in the late 1970s, it was instituted with two targets in mind. The first was to persuade the richer tenants of these apartments to leave so families in greater need could live there. The second was to allow these families to become home owners, since they did not have enough money to buy in the private sector. Under this program, the government sells apartments to qualified low-income tenants at prices below the market value.

Prices & Characteristics of Spanish Homes

Uncovering Market Trends in Spain

By [source]

About this dataset

This dataset provides a wealth of information about the current Spanish housing market for potential buyers. This comprehensive data set includes research-level information about region, number of rooms, size, price, photos and more for different available properties across the country. This data can help researchers understand the wide pricing range and characteristics associated with these homes in great detail. For example, it allows us to uncover average price per square meter as well as differences in prices between larger and smaller locations. Further exploration also reveals correlations between price and surface area as well as number of rooms and pricing models - all immensely helpful to those wishing to purchase or rent properties in Spain! By further investigating this rich set of information provided by this dataset, prospective property buyers can be more informed when making decisions regarding their next home or investment opportunities within the Spanish housing market

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How to use the dataset

Welcome to the Prices and Characteristics of Spanish Houses for Sale dataset! This data set contains comprehensive information about Spanish houses for sale, including location, price, size, and number of rooms. Here’s a guide to help you get started.

• Explore the columns included in this dataset: the summary column provides an overview of the property while description provides more in-depth details. The location column offers geographical details about each house; photo displays a picture of each property; recomendado indicates whether or not it has been recommended; price gives you an idea of how much each house costs; size determines how large or small it is; rooms tells you how many bedrooms it has to offer; price/m2 states the Square Meter Price for each home; bathrooms lets you know how many bathrooms it has on the premises; Num Photos shows you the exact number of images available for that home and type directs which type it is (apartment); region helps pinpoint exactly where these homes are located.

• Analyze relationships between variables: use this dataset to uncover interesting correlations between pricing and other characteristics such as size and number of rooms, or between prices in different regions within Spain. You can also gain insight into average pricing by square meter across various locations - this data might be useful if you're looking at making a real estate investment decision based on market trends around Spain's housing sector!

• Research current market trends: review historical data points from within this dataset with regards to pricing changes over time, as well as differences in supply/demand dynamics across distinct locations within Spain's housing market - all these insights can be used when deciding whether or not now would be an ideal time to purchase property in certain areas!
  Overall, we hope that with this information at hand your research into Spain's current housing market will provide useful results and lend insight that may assist your purchase decision process when considering buying S[anish homes!

Research Ideas

• Comparing the average Spanish house price in different regions to determine if prices are more expensive in certain regions.
• Examining the correlation between size and number of rooms to understand which properties would be a better investment given their size.
• Analyzing the relationship between number of photos uploaded for a property and its price, to determine if there is any correlation between them or not

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: pisos.csv | Column name | Description | |:----------------|:------------------------------------------------------------| | summary | A brief description of the property. (Text) | | location | The geographical area or postcode of the property. (Text) | | photo...

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?

Luxury home prices grew by more than ** percent year-on-year in ** of the ** most populous metros in the United States in the first quarter of 2024. The average sales price of luxury homes in Providence, RI increased by over ** percent in that period, making it the metro with the fastest growing luxury home prices. The luxury market is defined by the source as the most expensive five percent of the market.

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?

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.

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.

Luxury Home Elevator Market Outlook

The global luxury home elevator market size was estimated at USD 18.5 billion in 2023 and is projected to reach USD 32.9 billion by 2032, growing at a CAGR of 6.5% from 2024 to 2032. Several growth factors contribute to this market expansion, such as the rising disposable income, increased urbanization, and a growing preference for enhanced home aesthetics and convenience among high-net-worth individuals.

One of the primary growth factors fueling the luxury home elevator market is the increasing disposable income and wealth accumulation among the affluent population. High-net-worth individuals are consistently looking for ways to elevate their living standards, and luxury home elevators provide a blend of convenience, safety, and prestige. These elevators are not just about transportation between floors but also act as a statement of opulence and modernity, enhancing the overall value of the property.

Another significant driver is the urbanization trend coupled with the shrinking availability of land in metropolitan cities. As vertical living becomes more prevalent in urban areas, luxury home elevators become a necessity rather than a luxury. Multi-storied homes and high-rise residences often require efficient vertical mobility solutions. In many cases, the installation of these elevators is part of the architectural plan, thereby providing seamless integration with the interior design of the home.

The third growth catalyst is the rapid advancements in elevator technology. Modern luxury home elevators come equipped with state-of-the-art features such as energy efficiency, low noise levels, advanced safety protocols, and smart home integration. These technological advancements not only enhance the user experience but also make these elevators more reliable and efficient. Innovations such as pneumatic elevators, which allow for a smoother and quieter ride, and traction elevators with enhanced load capacity, are driving significant interest in the market.

From a regional perspective, North America and Europe are currently the largest markets for luxury home elevators, driven by their high disposable incomes and established real estate sectors. However, Asia-Pacific is expected to witness the highest growth rate during the forecast period. The region's rapid urbanization, burgeoning construction activities, and increasing number of affluent individuals are contributing to this robust growth. In particular, countries like China and India, with their rapidly expanding urban centers and high population density, present substantial opportunities for market players.

Product Type Analysis

The luxury home elevator market is segmented by product type into hydraulic elevators, traction elevators, pneumatic elevators, and others. Hydraulic elevators are particularly popular in private residences due to their smooth and quiet operation, as well as their ability to handle heavy loads. These elevators use a hydraulic system to lift the cab and are often chosen for their reliability and ease of maintenance. Despite their higher initial cost, they are favored for their performance and longevity, making them a preferred choice in high-end residential markets.

Traction elevators are another prominent segment in the luxury home elevator market. These elevators use a system of ropes and counterweights to move the elevator car, providing a more energy-efficient solution compared to hydraulic systems. Traction elevators are known for their high speed and efficiency, making them suitable for taller buildings where quick vertical transportation is essential. They also offer smooth rides and are highly favored in technologically advanced regions like North America and Europe.

Pneumatic elevators, relatively newer in the market, are gaining traction due to their unique design and energy efficiency. These elevators operate using air pressure, which results in a smoother and quieter ride. They are also easier to install and require less space compared to traditional elevators, making them ideal for homes with space constraints. Their modern and stylish design appeals to homeowners looking for both functionality and aesthetics, contributing to their growing popularity.

Other types of elevators, including screw drive and gearless elevators, also contribute to the market, although to a lesser extent. These specialized elevators cater to niche markets with specific requirements, such as custom designs and unique architectural constraints. Screw drive elevators, for instance,

Rental Affordability Analysis Based on Median Income

Trends in Tier-Based Affordability Across the U.S

By Zillow Data [source]

About this dataset

This dataset contains rental affordability data for different regions in the US, giving valuable insights into regional rental markets. Renters can use this information to identify where their budget will go the farthest. The cities are organized by rent tier in order to analyze affordability trends within and between different housing stock types. Within each region, the data includes median household income, Zillow Rent Index (ZRI), and percent of income spent on rent.

The Zillow Home Value Forecast (ZHVF) is used to calculate future combined mortgage pay/rent payments in each region using current median home prices, actual outstanding debt amounts and 30-year fixed mortgage interest rates reported through partnership with TransUnion credit bureau. Zillow also provides a breakdown of cash vs financing purchases for buyers looking for an investment or cash option solution.

This dataset provides an effective tool for consumers who want to better understand how their budget fits into diverse rental markets across the US; from condominiums and co-ops, multifamily residences with five or more units, duplexes and triplexes - every renter can determine how their housing budget should be adjusted as they consider multiple living possibilities throughout the country based on real-time price data!

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How to use the dataset

Introduction

Getting Started

• First, you'll need to download the TieredAffordability_Rental.csv dataset from this Kaggle page onto your computer or device.

• After downloading the data set onto your device, open it with any CSV viewing software of your choice (ex: Excel). It will include columns for RegionName**RegionName** , homes type/housing stock (All Homes or Condo/Co-op) SizeRank , Rent tier tier , Date date , median household income income , Zillow Rent Index zri and PercentIncomeSpentOnRent percentage (what portion of monthly median house-hold goes toward monthly mortgage payment) .

• To begin analyzing rental prices across different regions using this dataset, look first at column four: SizeRank; which ranks each region based on size - smallest regions listed first and largest at last - so that you can compare a similar range of Regions when looking at affordability by home sizes larger than one unit multiplex dwellings.*Duples/Triplex*. Once there is an understanding of how all homes compare overall now it is time to consider home types Multifamily 5+ units according to rent tiers tier .

• Next, choose one or more region(s) for comparison based on their rank in SizeRank column –so that all information gathered about them reflects what portionof households fall into certain categories ; eg; All Homes / Small Home /Large Home / MultiPlex Dwelling and what tier does each size rank falls into eg.: Affordable/Slightly Expensive/ Moderately Expensive etc.. This will enable further abstraction from other elements like date vs inflation rate per month or periodical intervals set herein by Rate segmentation i e dates givenin ‘Date’Columns – making the task easier and more direct while analyzing renatalAffordibility Analysis Based On Median Income zri 00 zwi & PCISOR 00 PCIRO

Research Ideas

• Use the PercentIncomeSpentOnRent column to compare rental affordability between regions within a particular tier and determine optimal rent tiers for relocating families.
• Analyze how market conditions are affecting rental affordability over time by using the income, zri, and PercentageIncomeSpentOnRent columns.
• Identify trends in housing prices for different tiers over the years by comparing SizeRank data with Zillow Home Value Forecast (ZHVF) numbers across different regions in order to identify locations that may be headed up or down in terms of home values (and therefore rent levels)

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: TieredAffordability_Rental.csv | Column name | Description | |:-----------------------------|:-------------------------------------------------------------| | RegionName | The name of the region. (String) ...

The median house price in *****, Atherton, California, was about *** million U.S. dollars. This made it the most expensive zip code in the United States in 2023. ***** Sagaponack, N.Y., was the runner-up with a median house price of about *** million U.S. dollars. Of the ** most expensive zip codes in the United States in 2026, six were in California.