9 datasets found
  1. F

    All-Transactions House Price Index for San Jose-Sunnyvale-Santa Clara, CA...

    • fred.stlouisfed.org
    json
    Updated Nov 25, 2025
    + more versions
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    (2025). All-Transactions House Price Index for San Jose-Sunnyvale-Santa Clara, CA (MSA) [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS41940Q
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 25, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Sunnyvale, San Jose, California
    Description

    Graph and download economic data for All-Transactions House Price Index for San Jose-Sunnyvale-Santa Clara, CA (MSA) (ATNHPIUS41940Q) from Q3 1975 to Q3 2025 about San Jose, appraisers, CA, HPI, housing, price index, indexes, price, and USA.

  2. F

    All-Transactions House Price Index for Santa Clara County, CA

    • fred.stlouisfed.org
    json
    Updated Mar 25, 2025
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    (2025). All-Transactions House Price Index for Santa Clara County, CA [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS06085A
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    jsonAvailable download formats
    Dataset updated
    Mar 25, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Santa Clara County, California
    Description

    Graph and download economic data for All-Transactions House Price Index for Santa Clara County, CA (ATNHPIUS06085A) from 1975 to 2024 about Santa Clara County, CA; San Jose; CA; HPI; housing; price index; indexes; price; and USA.

  3. Bengaluru House Prices

    • kaggle.com
    zip
    Updated Oct 10, 2020
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    Archit Singh (2020). Bengaluru House Prices [Dataset]. https://www.kaggle.com/architsingh15/bengaluru-house-prices
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    zip(219677 bytes)Available download formats
    Dataset updated
    Oct 10, 2020
    Authors
    Archit Singh
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    Bengaluru
    Description

    Context

    What are the things that a potential home buyer considers before purchasing a house? The location, the size of the property, vicinity to offices, schools, parks, restaurants, hospitals, or the stereotypical white picket fence? What about the most important factor -- the price? Now with the lingering impact of demonetization, the enforcement of the Real Estate (Regulation and Development) Act (RERA), and the lack of trust in property developers in the city, housing units sold across India in 2017 dropped by 7 percent. In fact, the property prices in Bengaluru fell by almost 5 percent in the second half of 2017, said a study published by property consultancy Knight Frank. For example, for a potential homeowner, over 9,000 apartment projects and flats for sale are available in the range of ₹42-52 lakh, followed by over 7,100 apartments that are in the ₹52-62 lakh budget segment, says a report by property website Makaan. According to the study, there are over 5,000 projects in the ₹15-25 lakh budget segment followed by those in the ₹34-43 lakh budget category. Buying a home, especially in a city like Bengaluru, is a tricky choice. While the major factors are usually the same for all metros, there are others to be considered for the Silicon Valley of India. With its help of the millennial crowd, vibrant culture, great climate, and a slew of job opportunities, it is difficult to ascertain the price of a house in Bengaluru. So what determines the property prices in Namma Bengaluru? Data: The train and test data will consist of various features that describe that property in Bengaluru. This is an actual data set that is curated over months of primary & secondary research by our team. Each row contains a fixed-size object of features. There are 9 features and each feature can be accessed by its name. Features Area_type - describes the area Availability - when it can be possessed or when it is ready(categorical and time-series) Location - where it is located in Bengaluru Price - Value of the property in lakhs(INR) Size - in BHK or Bedroom (1-10 or more) Society - to which society it belongs Total_sqft - the size of the property in sq.ft Bath - No. of bathrooms Balcony - No. of the balcony Problem Statement With the given 9 features(categorical and continuous) build a model to predict the price of houses in Bengaluru.

    Contributors

    MachineHack is an online platform for Machine Learning competitions. They host the toughest business problems that can now find solutions in Machine Learning & Data Science. https://www.machinehack.com/

    A hearty thanks to MachineHack for this well-curated and sought after dataset. We would appreciate it if we get to see the creativity of our Kaggle Forum in a way to better educate Data Scientists around the globe.

  4. F

    S&P CoreLogic Case-Shiller CA-San Francisco Home Price Index

    • fred.stlouisfed.org
    json
    Updated Nov 25, 2025
    + more versions
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    (2025). S&P CoreLogic Case-Shiller CA-San Francisco Home Price Index [Dataset]. https://fred.stlouisfed.org/series/SFXRSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 25, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Area covered
    San Francisco
    Description

    Graph and download economic data for S&P CoreLogic Case-Shiller CA-San Francisco Home Price Index (SFXRSA) from Jan 1987 to Sep 2025 about San Francisco, CA, HPI, housing, price index, indexes, price, and USA.

  5. House Wraps Market Analysis North America, Europe, APAC, South America,...

    • technavio.com
    pdf
    Updated Jan 8, 2025
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    Technavio (2025). House Wraps Market Analysis North America, Europe, APAC, South America, Middle East and Africa - US, China, UK, Germany, Canada, Japan, France, India, South Korea, Brazil - Size and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/house-wraps-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jan 8, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    Canada, United Kingdom, Germany, Brazil, United States
    Description

    Snapshot img

    House Wraps Market Size 2025-2029

    The house wraps market size is forecast to increase by USD 2.8 billion at a CAGR of 6.8% between 2024 and 2029.

    The market is witnessing significant growth due to the increasing focus on moisture management and energy savings. The adoption of new fire-retardant membranes in house wraps is a key trend driving market growth. However, improper installation of house wraps remains a challenge and can negatively impact the market. Moisture management is a critical factor in ensuring the longevity and effectiveness of house wraps. Energy savings are also a significant consideration, as house wraps help reduce heating and cooling costs by providing an additional insulation layer. The use of advanced materials and technologies, such as breathable house wraps and self-adhesive house wraps, is expected to further boost market growth.
    Overall, the market is poised for steady expansion, driven by these market trends and growth factors. Moisture management is a critical factor in ensuring the longevity of building structures, and it provides an effective solution by allowing moisture to escape while preventing water intrusion.
    

    What will be the House Wraps Market Size During the Forecast Period?

    Request Free Sample

    House wraps, a crucial component in the construction industry, have gained significant attention in the commercial development sector due to their ability to enhance a building's energy efficiency and aesthetic appeal. The market for house wraps is subjected to various macroeconomic and external factors that influence its dynamics. Quantitative data reveals a steady growth in the demand for house wraps, driven by increasing commercial construction activities. However, qualitative data from consumer buying behavior studies indicate a preference for cost-effective and energy-efficient solutions. Economic scenarios, such as monetary policy and inflation, play a pivotal role in shaping the market. Historical pricing data and graphical analysis reveal trends in Polypropylene, Polyethylene, and Polyvinyl chloride-based systems.
    In addition, geopolitical tensions, climate disasters, and disinflation are external factors that can impact the market's competitive position. A macroeconomic analysis of the house wraps value chain reveals the importance of intermediaries, including distributors and retailers, in the market's supply chain. Commodity prices, historical pricing data from digital archives, and insights from domain experts provide valuable information on the market's pricing analysis. Energy costs, a significant factor in the construction industry, have a direct impact on the demand for house wraps. The entry of tech firms from Silicon Valley and other innovative regions into the market is expected to intensify competition.
    

    How is this market segmented and which is the largest segment?

    The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Application
    
      Commercial
      Residential
    
    
    Type
    
      Non-perforated house wraps
      Perforated house wraps
    
    
    Geography
    
      North America
    
        Canada
        US
    
    
      Europe
    
        Germany
        UK
        France
    
    
      APAC
    
        China
        India
        Japan
        South Korea
    
    
      South America
    
        Brazil
    
    
      Middle East and Africa
    

    By Application Insights

    The commercial segment is estimated to witness significant growth during the forecast period.
    

    The market has witnessed significant growth in the commercial sector due to the increasing focus on energy efficiency and sustainability in business development. House wraps are essential components of building envelopes, providing improved air infiltration control, moisture management, and thermal performance for builders and developers. In large-scale commercial projects, such as office buildings and shopping complexes, innovative house wraps are used to ensure a comfortable internal climate, reduce heating and cooling expenses, and extend building lifespan. The market's growth is driven by the need for sustainable building practices and the benefits house wraps offer in enhancing a building's overall performance.

    Get a glance at the market report of share of various segments Request Free Sample

    The commercial segment was valued at USD 3.45 billion in 2019 and showed a gradual increase during the forecast period.

    Regional Analysis

    North America is estimated to contribute 53% to the growth of the global market during the forecast period.
    

    Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

    For more insights on the market share of various regions Request Free Sample

    The North American market for house wraps is driven by the advanced economies of the US and Cana

  6. Bengaluru House price data

    • kaggle.com
    zip
    Updated Aug 23, 2020
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    Abhinay Kumar Singh (2020). Bengaluru House price data [Dataset]. https://www.kaggle.com/abhinaykumarsingh/bengaluru-house-price-data
    Explore at:
    zip(199686 bytes)Available download formats
    Dataset updated
    Aug 23, 2020
    Authors
    Abhinay Kumar Singh
    Area covered
    Bengaluru
    Description

    Bengaluru House Price Dataset What are the things that a potential home buyer considers before purchasing a house? The location, the size of the property, vicinity to offices, schools, parks, restaurants, hospitals or the stereotypical white picket fence? What about the most important factor — the price?

    Now with the lingering impact of demonetization, the enforcement of the Real Estate (Regulation and Development) Act (RERA), and the lack of trust in property developers in the city, housing units sold across India in 2017 dropped by 7 percent. In fact, the property prices in Bengaluru fell by almost 5 percent in the second half of 2017, said a study published by property consultancy Knight Frank. For example, for a potential homeowner, over 9,000 apartment projects and flats for sale are available in the range of ₹42-52 lakh, followed by over 7,100 apartments that are in the ₹52-62 lakh budget segment, says a report by property website Makaan. According to the study, there are over 5,000 projects in the ₹15-25 lakh budget segment followed by those in the ₹34-43 lakh budget category.

    Buying a home, especially in a city like Bengaluru, is a tricky choice. While the major factors are usually the same for all metros, there are others to be considered for the Silicon Valley of India. With its help millennial crowd, vibrant culture, great climate and a slew of job opportunities, it is difficult to ascertain the price of a house in Bengaluru.

  7. Bengaluru House Price Prediction

    • kaggle.com
    zip
    Updated Jun 28, 2024
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    Subhra Sikha Sahoo (2024). Bengaluru House Price Prediction [Dataset]. https://www.kaggle.com/datasets/subhrasikhasahoo/bengalure-house/discussion
    Explore at:
    zip(199644 bytes)Available download formats
    Dataset updated
    Jun 28, 2024
    Authors
    Subhra Sikha Sahoo
    Area covered
    Bengaluru
    Description

    What are the things that a potential home buyer considers before purchasing a house? The location, the size of the property, vicinity to offices, schools, parks, restaurants, hospitals or the stereotypical white picket fence? What about the most important factor — the price?

    Now with the lingering impact of demonetization, the enforcement of the Real Estate (Regulation and Development) Act (RERA), and the lack of trust in property developers in the city, housing units sold across India in 2017 dropped by 7 percent. In fact, the property prices in Bengaluru fell by almost 5 percent in the second half of 2017, said a study published by property consultancy Knight Frank. For example, for a potential homeowner, over 9,000 apartment projects and flats for sale are available in the range of ₹42-52 lakh, followed by over 7,100 apartments that are in the ₹52-62 lakh budget segment, says a report by property website Makaan. According to the study, there are over 5,000 projects in the ₹15-25 lakh budget segment followed by those in the ₹34-43 lakh budget category.

    Buying a home, especially in a city like Bengaluru, is a tricky choice. While the major factors are usually the same for all metros, there are others to be considered for the Silicon Valley of India. With its help millennial crowd, vibrant culture, great climate and a slew of job opportunities, it is difficult to ascertain the price of a house in Bengaluru.

  8. House_data_prediction

    • kaggle.com
    zip
    Updated Jan 3, 2022
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    Avnish Sharma24 (2022). House_data_prediction [Dataset]. https://www.kaggle.com/datasets/avnishsharma24/house-data-prediction
    Explore at:
    zip(199644 bytes)Available download formats
    Dataset updated
    Jan 3, 2022
    Authors
    Avnish Sharma24
    Description

    About this file What are the things that a potential home buyer considers before purchasing a house? The location, the size of the property, vicinity to offices, schools, parks, restaurants, hospitals or the stereotypical white picket fence? What about the most important factor — the price?

    Now with the lingering impact of demonetization, the enforcement of the Real Estate (Regulation and Development) Act (RERA), and the lack of trust in property developers in the city, housing units sold across India in 2017 dropped by 7 percent. In fact, the property prices in Bengaluru fell by almost 5 percent in the second half of 2017, said a study published by property consultancy Knight Frank. For example, for a potential homeowner, over 9,000 apartment projects and flats for sale are available in the range of ₹42-52 lakh, followed by over 7,100 apartments that are in the ₹52-62 lakh budget segment, says a report by property website Makaan. According to the study, there are over 5,000 projects in the ₹15-25 lakh budget segment followed by those in the ₹34-43 lakh budget category.

    Buying a home, especially in a city like Bengaluru, is a tricky choice. While the major factors are usually the same for all metros, there are others to be considered for the Silicon Valley of India. With its help millennial crowd, vibrant culture, great climate and a slew of job opportunities, it is difficult to ascertain the price of a house in Bengaluru.

  9. Monthly data center rent in selected markets in the U.S. 2024

    • statista.com
    Updated Apr 29, 2021
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    Statista (2021). Monthly data center rent in selected markets in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/1224973/data-centers-rent-in-the-usa-by-market/
    Explore at:
    Dataset updated
    Apr 29, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the second half of 2024, the average monthly per kilowatt rent of data centers in the Silicon Valley in the United States was between *** U.S. dollars and *** U.S. dollars. Northern Virginia, which is the market with the largest data center inventory and the most new capacity under construction, had monthly rent between *** and *** U.S. dollars.

  10. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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(2025). All-Transactions House Price Index for San Jose-Sunnyvale-Santa Clara, CA (MSA) [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS41940Q

All-Transactions House Price Index for San Jose-Sunnyvale-Santa Clara, CA (MSA)

ATNHPIUS41940Q

Explore at:
jsonAvailable download formats
Dataset updated
Nov 25, 2025
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Area covered
Sunnyvale, San Jose, California
Description

Graph and download economic data for All-Transactions House Price Index for San Jose-Sunnyvale-Santa Clara, CA (MSA) (ATNHPIUS41940Q) from Q3 1975 to Q3 2025 about San Jose, appraisers, CA, HPI, housing, price index, indexes, price, and USA.

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