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This dataset provides a comprehensive snapshot of the Texas real estate market as of 2024, featuring a curated selection of 500 property listings. It encompasses a wide array of properties, reflecting the diverse real estate landscape across Texas. This dataset serves as a foundational tool for understanding market dynamics, property valuations, and regional housing trends within the state.
Given its breadth and depth, this dataset is poised to facilitate a multitude of data science applications. Researchers and analysts can leverage this dataset for exploratory data analysis (EDA) to identify patterns, trends, and anomalies within the Texas real estate market. It is particularly suited for regression analyses to predict property prices based on various features, classification tasks to categorize properties into different market segments, and geographical data analysis to understand regional market dynamics. Despite the dataset's modest size, it offers a rich source for machine learning models aimed at providing insights into price determinants and market trends, ensuring practical applications remain within realistic and achievable bounds.
url: Web address for the property listing on Realtor.com.status: Current status of the listing, indicating availability.id: Unique identifier for each property listing.listPrice: The asking price for the property.baths: Total number of bathrooms, including partials.baths_full: Number of full bathrooms.baths_full_calc: Calculated number of full bathrooms, for consistency.beds: Number of bedrooms in the property.sqft: Total square footage of the property.stories: Number of levels or floors in the property.sub_type: Specific sub-category of the property, if applicable.text: Descriptive narrative provided for the property listing.type: General category of the property (e.g., single-family, condo).year_built: Year the property was constructed.This dataset has been meticulously compiled, adhering to ethical standards and ensuring all data is sourced from publicly available information. It respects privacy and copyright considerations, utilizing data that is openly accessible and intended for public consumption.
Gratitude is extended to Realtor.com for serving as an invaluable resource in the compilation of this dataset. The platform's commitment to providing comprehensive and accessible real estate data has significantly contributed to the depth and quality of this dataset.
The dataset thumbnail image is credited to Realtor.com, as featured on their official Facebook page. The image serves as a visual representation of the diverse and dynamic nature of the Texas real estate market, captured in this comprehensive dataset. View Image
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Graph and download economic data for Housing Inventory: Median Days on Market Year-Over-Year in Texas (MEDDAYONMARYYTX) from Jul 2017 to Oct 2025 about TX, median, and USA.
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Graph and download economic data for All-Transactions House Price Index for Texas (TXSTHPI) from Q1 1975 to Q3 2025 about appraisers, TX, HPI, housing, price index, indexes, price, and USA.
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This dataset contains detailed information on current real estate listings in Houston, Texas, sourced from Zillow, and provides a comprehensive snapshot of the Houston housing market as of 5th June 2024.
The data was extracted from Zillow using a combination of two scraping tools from Apify: Zillow ZIP Code Scraper π https://apify.com/maxcopell/zillow-zip-search and Zillow Details Scraper π https://apify.com/maxcopell/zillow-detail-scraper.
The data includes key details for each listing for sale, such as:
With 25,900 current listings, this dataset is ideal for in-depth analysis of the Houston housing market and the Houston real estate market. Potential use cases include:
Whether you're a real estate professional, market researcher, data scientist, or just curious about the Houston housing market, this dataset provides a wealth of information to explore. You can start investigating Houston real estate today.
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TwitterHouse prices in the second most populous state in the United States, Texas, have increased more than two-fold since 2011. In 2023, the median house price reached ******* U.S. dollars, a decrease of *** percent from the previous year. Texas is one of the more affordable states for buying a home with house prices below the national average.
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TwitterTexas is one of the U.S. states with the highest number of international home purchases in the United States in 2023. In the period between ********** and **********, the Mexican buyers accounted for the largest share of international transaction of residential real estate in Texas, with ** percent of international transactions. In total, Mexican, Indian, Chinese, Canadian, and UK buyers were responsible for ** percent of international transactions.
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Graph and download economic data for Housing Inventory: Median Listing Price in Texas (MEDLISPRITX) from Jul 2016 to Oct 2025 about TX, listing, median, price, and USA.
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The US Office Real Estate Market Report is Segmented by Building Grade (Grade A, Grade B, and More), by Transaction Type (Rental and Sales), by End Use (Information Technology (IT & ITES), BFSI (Banking, Financial Services and Insurance), and More) and by States (Texas, California, Florida and More). The Report Offers Market Size and Forecasts in Value (USD) for all the Above Segments.
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The Real Estate Sales & Brokerage industry in Texas is expected to grow an annualized x% to $x.x billion over the five years to 2025, while the national industry will likely grow at x.x% during the same period. Industry establishments increased an annualized x.x% to x,xxx locations. Industry employment has increased an annualized x.x% to x,xxx workers, while industry wages have increased an annualized x.x% to $x.x billion.
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TwitterIn Texas, Houston was the market with the most existing shopping center real estate as of the first quarter of 2024. At ***** million square feet, Dallas/Ft. Worth was less than ***** million square feet shy of outranking Houston. In the same period, there were *** billion square feet of shopping center property in the United States.
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TwitterHouse prices in the Austin-Round Rock metropolitan area have increased more than two-fold since 2011. In 2023, the median house price reached ******* U.S. dollars, down by about **** percent from 2022. This was substantially higher than the average house price in Texas.
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TwitterHome sales transactions in Texas increased overall from 2011 to 2023. The number of home sales amounted to nearly ******* units in 2023, down from approximately ******* units the year before. The high demand for housing has led to house prices increasing significantly.
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TwitterHouse prices in the Dallas-Fort Worth-Arlington metropolitan area have increased more than two-fold since 2011. In 2023, the median house price reached ******* U.S. dollars, down by about *** percent from 2022. This was much higher than the average house price in Texas.
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Graph and download economic data for Housing Inventory: Median Days on Market in Midland, TX (CBSA) (MEDDAYONMAR33260) from Jul 2016 to Oct 2025 about Midland, TX, median, and USA.
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TwitterAustin was the market responsible for the most shopping center real estate absorbed in Texas in the first quarter of 2024, amounting to about ******* square feet. The net absorption is calculated by subtracting the sum of square feet that became vacant from the sum of square feet that became occupied in a certain period of time. Overall, the market slowed in the second half of 2022, further falling below *********** square feet in the second half of 2023. Nationwide, the net absorption turned negative in 2024.
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All-Transactions House Price Index for Texas was 528.22000 Index 1980 Q1=100 in April of 2025, according to the United States Federal Reserve. Historically, All-Transactions House Price Index for Texas reached a record high of 528.22000 in April of 2025 and a record low of 55.93000 in January of 1975. Trading Economics provides the current actual value, an historical data chart and related indicators for All-Transactions House Price Index for Texas - last updated from the United States Federal Reserve on November of 2025.
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View quarterly updates and historical trends for Texas House Price Index. Source: Federal Housing Finance Agency. Track economic data with YCharts analytiβ¦
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This dataset includes all housing projects that have received a subsidy from or participated in a City of Austin developer incentive program. Projects may include a mix of income-restricted and market rate units and span the development pipeline from developer incentive certification or loan approval to project completion.
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TwitterDallas is the largest office real estate market in Texas, United States, followed by Houston and Austin. As of the first quarter of 2023, Dallas had close to *** million square feet of office space. El Paso, which was the second smallest market, had the lowest vacancy rate among the major office markets in Texas, while Austin was the most expensive one.
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Graph and download economic data for Housing Inventory: Median Days on Market in Victoria, TX (CBSA) (MEDDAYONMAR47020) from Jul 2016 to Oct 2025 about Victoria, TX, median, and USA.
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License information was derived automatically
This dataset provides a comprehensive snapshot of the Texas real estate market as of 2024, featuring a curated selection of 500 property listings. It encompasses a wide array of properties, reflecting the diverse real estate landscape across Texas. This dataset serves as a foundational tool for understanding market dynamics, property valuations, and regional housing trends within the state.
Given its breadth and depth, this dataset is poised to facilitate a multitude of data science applications. Researchers and analysts can leverage this dataset for exploratory data analysis (EDA) to identify patterns, trends, and anomalies within the Texas real estate market. It is particularly suited for regression analyses to predict property prices based on various features, classification tasks to categorize properties into different market segments, and geographical data analysis to understand regional market dynamics. Despite the dataset's modest size, it offers a rich source for machine learning models aimed at providing insights into price determinants and market trends, ensuring practical applications remain within realistic and achievable bounds.
url: Web address for the property listing on Realtor.com.status: Current status of the listing, indicating availability.id: Unique identifier for each property listing.listPrice: The asking price for the property.baths: Total number of bathrooms, including partials.baths_full: Number of full bathrooms.baths_full_calc: Calculated number of full bathrooms, for consistency.beds: Number of bedrooms in the property.sqft: Total square footage of the property.stories: Number of levels or floors in the property.sub_type: Specific sub-category of the property, if applicable.text: Descriptive narrative provided for the property listing.type: General category of the property (e.g., single-family, condo).year_built: Year the property was constructed.This dataset has been meticulously compiled, adhering to ethical standards and ensuring all data is sourced from publicly available information. It respects privacy and copyright considerations, utilizing data that is openly accessible and intended for public consumption.
Gratitude is extended to Realtor.com for serving as an invaluable resource in the compilation of this dataset. The platform's commitment to providing comprehensive and accessible real estate data has significantly contributed to the depth and quality of this dataset.
The dataset thumbnail image is credited to Realtor.com, as featured on their official Facebook page. The image serves as a visual representation of the diverse and dynamic nature of the Texas real estate market, captured in this comprehensive dataset. View Image