100+ datasets found
  1. U.S. Residential Energy Consumption Survey Data

    • redivis.com
    application/jsonl +7
    Updated Jul 26, 2023
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    Carnegie Mellon University Libraries (2023). U.S. Residential Energy Consumption Survey Data [Dataset]. https://redivis.com/datasets/6sn2-6pcw6xhbk
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    csv, spss, sas, arrow, parquet, application/jsonl, stata, avroAvailable download formats
    Dataset updated
    Jul 26, 2023
    Dataset provided by
    Redivis Inc.
    Authors
    Carnegie Mellon University Libraries
    Area covered
    United States
    Description

    Abstract

    The U.S. Residential Energy Consumption Survey, administered by the U.S. Energy Information Administration (EIA), uses a nationally representative sample to collect information about home characteristics, household energy usage, and energy cost. The microdata at the household level from 2020, 2015, 2009, 2005, 2001, 1997, 1993,1990, and 1987, made available by the EIA for public use, were curated by Carnegie Mellon University Libraries to make it more accessible for data analysis.

    Methodology

    Survey background and technical information

    Usage

    • Microdata are organized by year and can be found in "Tables;"
    • Years include 2020, 2015, 2009, 2005, 2001, 1997, 1993, 1990, and 1987;
    • In "Files," there are 9 folders (named by year), each of which contains the codebook(s) for a given year; for a given year, the codebook is provided in one file for all variables, if the EIA made this available; for some years, the EIA uses multiple files to organize its codebook (e.g., 1997);
    • For 2020, 2015, and 2009, there is a PDF file (e.g., microdata_guide_xxxx) that describes how to use the provided sample weights to calculate standard errors; for other years, similar instructions can be found via the URL of the microdata description page on the EIA's website, provided in the description field of the microdata table for a given year (e.g., 1993).

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  2. F

    Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic...

    • fred.stlouisfed.org
    json
    Updated May 21, 2025
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    (2025). Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic Offices, All Commercial Banks [Dataset]. https://fred.stlouisfed.org/series/DRSFRMACBN
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    jsonAvailable download formats
    Dataset updated
    May 21, 2025
    License

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

    Description

    Graph and download economic data for Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic Offices, All Commercial Banks (DRSFRMACBN) from Q1 1991 to Q1 2025 about domestic offices, delinquencies, 1-unit structures, mortgage, family, residential, commercial, domestic, banks, depository institutions, rate, and USA.

  3. Monroe County Single Family Residential Building Assets and Energy...

    • data.ny.gov
    application/rdfxml +5
    Updated Apr 27, 2021
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    New York State Energy Research and Development Authority (NYSERDA) (2021). Monroe County Single Family Residential Building Assets and Energy Consumption: 2017-2019 [Dataset]. https://data.ny.gov/Energy-Environment/Monroe-County-Single-Family-Residential-Building-A/ebua-hcfg
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    xml, application/rdfxml, csv, tsv, json, application/rssxmlAvailable download formats
    Dataset updated
    Apr 27, 2021
    Dataset provided by
    New York State Energy Research and Development Authorityhttps://www.nyserda.ny.gov/
    Authors
    New York State Energy Research and Development Authority (NYSERDA)
    Area covered
    Monroe County
    Description

    PLEASE DOWNLOAD THE FULL REPORT UNDER THE ATTACHMENT SECTION IN THE 'ABOUT THIS DATASET' SECTION BELOW.

    This aggregated and anonymized dataset of single-family residential building asset attributes and observed average annual energy consumption over the 2-year period from August 2017 through July 2019 is available for Monroe County. The dataset includes more than 55,000 properties from the study’s matched residential dataset that had sufficient data for calculation of average annual energy consumption and could not be uniquely identified in the larger dataset of Monroe County residential parcels or Infogroup data. The data were anonymized by removing all property identifying information including address, parcel identifiers, and parcel size. Attributes such as square footage, building age, and assessed value were then grouped such that no groupings contained fewer than three properties in the Monroe County parcel dataset. This dataset with average annual energy consumption for gas, electric, and total consumption can be used by those interested in further analysis and energy modeling.

    In response to the New York State Department of Public Service (DPS) Order Adopting Accelerated Energy Efficiency targets, issued December, 18, 2018, the New York State Energy Research and Development Authority (NYSERDA) contracted with Stone Environmental, Inc to conduct an Asset Data Matching Pilot in Monroe County to analyze building asset data, utility usage data, and NYSERDA program data for single family residential buildings. The objective of the study was to analyze publicly available data along with two years of utility usage data provided by Rochester Gas and Electric (RG&E) to provide information and data to the market to help reduce customer acquisition costs for adoption of energy efficiency measures and to better understand the ability to use building asset data to determine energy efficiency.

    See the final report from the analysis under the attachments section.

    NYSERDA offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and accelerate economic growth. reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

  4. Residential Construction Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Residential Construction Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-residential-construction-market
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    pptx, csv, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Residential Construction Market Outlook



    The global residential construction market size was valued at $XX billion in 2023 and is projected to reach $XX billion by 2032, growing at a compound annual growth rate (CAGR) of XX% during the forecast period. This considerable growth is driven by several factors, including increasing urbanization, rising disposable incomes, and government initiatives focused on housing development. The expanding population, especially in emerging economies, and the growing trend toward nuclear families are also crucial drivers bolstering the market's growth.



    One of the primary growth factors for the residential construction market is the rapid urbanization observed worldwide. As more people move from rural areas to urban centers in search of better employment opportunities and improved living standards, the demand for residential units in cities has skyrocketed. Urbanization not only increases the demand for new housing but also necessitates the renovation and upgrading of existing infrastructure to accommodate the growing population. Additionally, governments around the world are implementing policies and offering incentives to stimulate the housing sector, thus directly contributing to market growth.



    Another significant driver is the rise in disposable incomes, especially in developing nations. Higher disposable incomes enable individuals and families to invest in better housing, resulting in increased demand for residential construction. Economic growth in various regions has led to a higher standard of living, with more people aspiring to own homes that offer enhanced comfort and amenities. This trend is complemented by the availability of favorable financing options and mortgage rates, which make home buying more accessible to a larger segment of the population.



    Technological advancements in construction techniques and materials are also playing a pivotal role in the market's growth. Innovations such as prefabrication, 3D printing, and green building materials are not only making construction quicker and more cost-efficient but are also aligning with the growing demand for sustainable and energy-efficient homes. These technological improvements are attracting both homeowners and real estate developers, eager to reduce costs and enhance the quality of construction. Consequently, technology is evolving into a critical enabler of the marketÂ’s expansion.



    Regionally, Asia Pacific is expected to dominate the residential construction market during the forecast period. Rapid economic development, substantial urban migration, and supportive governmental policies are driving the market in this region. Countries like China and India, with their massive populations and expanding middle classes, present immense opportunities for residential construction. However, North America and Europe are also experiencing steady growth, driven by urban renewal projects and an increasing focus on sustainable living spaces. The Middle East & Africa and Latin America, while smaller in market share, are anticipated to witness moderate growth fueled by urbanization and infrastructural investments.



    Construction Spending plays a pivotal role in shaping the dynamics of the residential construction market. The allocation of funds towards building new homes and renovating existing structures directly influences the pace and scale of market growth. Governments and private investors are increasingly recognizing the importance of strategic construction spending to address housing shortages and improve living conditions. By channeling resources into construction projects, stakeholders can stimulate economic activity, create jobs, and enhance infrastructure. This financial commitment not only supports the development of new residential units but also ensures the modernization and sustainability of existing housing stock, aligning with broader urban development goals.



    Type Analysis



    The residential construction market can be segmented by type into single-family housing and multi-family housing. Single-family housing remains a dominant segment, driven by the growing preference for privacy and individual living spaces. This trend is particularly prominent in North America and Europe, where suburban living is highly popular. Single-family homes offer the luxury of private outdoor spaces, better control over living conditions, and more room for customization, making them highly desirable among homeowners. The financial incentives provided by g

  5. F

    Total Construction Spending: Residential in the United States

    • fred.stlouisfed.org
    json
    Updated Jun 2, 2025
    + more versions
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    (2025). Total Construction Spending: Residential in the United States [Dataset]. https://fred.stlouisfed.org/series/TLRESCONS
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    jsonAvailable download formats
    Dataset updated
    Jun 2, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Total Construction Spending: Residential in the United States (TLRESCONS) from Jan 2002 to Apr 2025 about residential, expenditures, construction, and USA.

  6. d

    Residential Boundaries

    • catalog.data.gov
    • data.townofcary.org
    • +1more
    Updated Jun 28, 2025
    + more versions
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    Cary (2025). Residential Boundaries [Dataset]. https://catalog.data.gov/dataset/residential-boundaries-8901c
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    Dataset updated
    Jun 28, 2025
    Dataset provided by
    Cary
    Description

    This dataset contains existing and approved residential boundaries in Cary, NC. For additional information on properties check out our website. This dataset is updated as residential boundaries are changed.

  7. d

    Residential Associations

    • catalog.data.gov
    • data.tempe.gov
    Updated Mar 18, 2023
    + more versions
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    City of Tempe (2023). Residential Associations [Dataset]. https://catalog.data.gov/dataset/residential-associations-7b3d5
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    Dataset updated
    Mar 18, 2023
    Dataset provided by
    City of Tempe
    Description

    This web application provides information on existing residential associations in Tempe. Residential associations encompass both homeowner associations (HOA) and neighborhood associations (NA). Neighborhood associations are a voluntary organization of residents and/or property owners who work together to support or organize activities within their neighborhood. Homeowners Associations are legal entities that consist of property owners who maintain community common areas and oversee the management of the community. In addition to residential associations there is also several affiliate associations that are also displayed within the application.

  8. R

    Residential Real Estate Market in Latin America Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 7, 2025
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    Data Insights Market (2025). Residential Real Estate Market in Latin America Report [Dataset]. https://www.datainsightsmarket.com/reports/residential-real-estate-market-in-latin-america-17295
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Mar 7, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Latin America, Americas
    Variables measured
    Market Size
    Description

    The Latin American residential real estate market, valued at $477.77 million in 2025, is projected to experience robust growth, driven by factors such as increasing urbanization, rising disposable incomes, and government initiatives promoting affordable housing. The market is segmented by property type (apartments & condominiums, landed houses & villas) and geography (Mexico, Brazil, Colombia, and Rest of Latin America). Brazil and Mexico, with their large populations and developing economies, are expected to dominate the market, contributing significantly to the Compound Annual Growth Rate (CAGR) of 8.32% projected from 2025 to 2033. Strong demand from millennials and growing tourism in key areas are also contributing factors. However, challenges remain, including economic volatility in some regions, fluctuating interest rates impacting mortgage affordability, and infrastructure limitations in certain areas. The competitive landscape includes both large national developers like Cyrela, MRV Engenharia, and Grupo Sadasi, along with international players like JLL and CBRE, creating a dynamic and evolving market. Significant growth opportunities exist within the affordable housing segment, catering to the expanding middle class. Further market expansion is anticipated through the development of sustainable and smart homes, reflecting growing environmental awareness and technological advancements. While regulatory hurdles and bureaucratic processes can present challenges, the long-term outlook for the Latin American residential real estate market remains positive, driven by the region's demographic trends and continued economic development. Strategic investments in infrastructure development and supportive government policies will be crucial in unlocking the market's full potential. Detailed analysis of specific countries within the region will reveal nuances in market performance, highlighting areas of exceptional opportunity or risk. This report provides a detailed analysis of the dynamic Residential Real Estate Market in Latin America, covering the period 2019-2033. With a base year of 2025 and a forecast period spanning 2025-2033, this in-depth study leverages historical data (2019-2024) to offer valuable insights into market trends, growth drivers, and challenges. Keywords: Latin America real estate market, residential real estate Latin America, Latin American housing market, Brazilian real estate, Mexican real estate, Colombian real estate, apartment market Latin America, condo market Latin America, real estate investment Latin America. Recent developments include: November 2023: CBRE, a prominent global consultancy and real estate services firm, unveiled its latest initiative, the Latam-Iberia platform. The platform's primary goal is to reinvigorate the real estate markets in Europe and Latin America while fostering investment ties between the two regions. By enhancing business collaborations and amplifying the visibility of real estate solutions, CBRE aims to catalyze growth in the sector., May 2023: CJ do Brasil, a subsidiary of multinational firm CJ Bio, completed its USD 57 million plant expansion in Piracicaba, 160 km from Brazil's capital. CJ Bio is renowned for its expertise in amino acid production. The expansion is projected to create 650 new job opportunities, and the investment also encompasses the establishment of residential, research, and development centers.. Key drivers for this market are: Increase in Population is Boosting the Residential Real Estate Market, Rapid Growth in Urbanization. Potential restraints include: Accelerated Increase in Construction Costs. Notable trends are: Increase in Urbanization Boosting Demand for Residential Real Estate.

  9. Metropolitan areas with the highest value of new home construction in the...

    • statista.com
    • ai-chatbox.pro
    Updated Mar 20, 2025
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    Statista (2025). Metropolitan areas with the highest value of new home construction in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/433638/us-metropolitan-areas-with-the-highest-value-of-new-residential-construction/
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    Dataset updated
    Mar 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    The two metropolitan areas with the highest value of new residential construction in 2024 were in Texas. Those two areas, Dallas-Fort Worth-Arlington and Houston-Pasadena-The Woodlands, were the only ones in the United States where new homes authorized were worth over 17 billion U.S. dollars. Those figures were significantly higher than the following entries in the list, the areas around Phoenix (Arizona) and in New York, where home construction amounted to over ten billion U.S. dollars.

  10. F

    Real Residential Property Prices for United States

    • fred.stlouisfed.org
    json
    Updated Jun 26, 2025
    + more versions
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    (2025). Real Residential Property Prices for United States [Dataset]. https://fred.stlouisfed.org/series/QUSR628BIS
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    jsonAvailable download formats
    Dataset updated
    Jun 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Real Residential Property Prices for United States (QUSR628BIS) from Q1 1970 to Q1 2025 about residential, HPI, housing, real, price index, indexes, price, and USA.

  11. C

    China Loan: Real Estate Housing Mortgage: Individual: Residential

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2024). China Loan: Real Estate Housing Mortgage: Individual: Residential [Dataset]. https://www.ceicdata.com/en/china/loan-real-estate-related-loan/loan-real-estate-housing-mortgage-individual-residential
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    China
    Description

    China Loan: Real Estate Housing Mortgage: Individual: Residential data was reported at 38,000.000 RMB bn in Mar 2025. This records an increase from the previous number of 37,680.000 RMB bn for Dec 2024. China Loan: Real Estate Housing Mortgage: Individual: Residential data is updated quarterly, averaging 22,448.582 RMB bn from Dec 2007 (Median) to Mar 2025, with 58 observations. The data reached an all-time high of 38,940.000 RMB bn in Mar 2023 and a record low of 2,696.833 RMB bn in Dec 2007. China Loan: Real Estate Housing Mortgage: Individual: Residential data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Money and Banking – Table CN.KB: Loan: Real Estate Related Loan.

  12. Residential Single Phase Electricity Smart Meter Market Report | Global...

    • dataintelo.com
    csv, pdf, pptx
    Updated Dec 3, 2024
    + more versions
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    Dataintelo (2024). Residential Single Phase Electricity Smart Meter Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-residential-single-phase-electricity-smart-meter-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Residential Single Phase Electricity Smart Meter Market Outlook



    The global market size for Residential Single Phase Electricity Smart Meters was valued at approximately USD 7.8 billion in 2023 and is projected to reach USD 15.6 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.3% during the forecast period. This impressive growth is driven by increasing demand for efficient energy management solutions and the need for real-time data access in residential areas. The market is witnessing a surge in deployment due to substantial advancements in Internet of Things (IoT) technologies, increased focus on energy conservation, and growing electricity consumption in urban households.



    One of the primary growth factors for this market is the global shift towards smart grids and the need for advanced infrastructure that supports efficient energy distribution and consumption. Governments worldwide are investing heavily in modernizing their power distribution systems to improve energy efficiency and reduce losses. The transition towards smart grids provides a robust platform for the integration of smart meters, as they are crucial components in achieving real-time monitoring and management of energy use. Moreover, smart meters enable two-way communication between consumers and utility providers, facilitating better demand response and energy savings.



    Another significant growth factor is the rising awareness among consumers about energy conservation and cost savings. Smart meters provide consumers with detailed insights into their electricity usage patterns, enabling them to make informed decisions to optimize energy consumption. This heightened awareness is propelling the adoption of smart meters, as consumers are becoming more proactive in tracking and managing their energy use. Additionally, the deployment of smart meters supports utility companies in enhancing their billing accuracy and reducing carbon footprints, further driving market growth.



    The increasing penetration of renewable energy sources is also contributing to the growth of the Residential Single Phase Electricity Smart Meter Market. As countries strive to meet their sustainability goals and reduce reliance on fossil fuels, the integration of renewable energy sources like solar and wind into the grid is becoming more prevalent. Smart meters play a critical role in managing the variability and intermittency associated with renewable energy by providing precise data on energy production and consumption. This capability is particularly essential for residential users who have installed solar panels or other renewable energy systems, making smart meters indispensable for efficient grid management.



    On the regional front, North America leads the market with significant investments in smart grid infrastructure and favorable government policies promoting smart meter adoption. The U.S., in particular, has seen substantial growth due to federal initiatives and state-level programs aimed at energy efficiency. Europe follows closely, driven by stringent regulatory frameworks and a strong focus on sustainability. The Asia Pacific region is witnessing rapid growth, fueled by urbanization and government mandates to upgrade traditional metering systems. Meanwhile, Latin America and the Middle East & Africa are also showing promising growth prospects due to increasing energy demands and infrastructure development.



    Product Type Analysis



    The Residential Single Phase Electricity Smart Meter Market can be segmented by product type into Advanced Metering Infrastructure (AMI) and Automatic Meter Reading (AMR). AMI has gained significant traction due to its ability to enable two-way communication between utilities and consumers, providing real-time data on energy consumption. This feature allows for more accurate billing, better energy management, and enhanced customer service. Utilities are increasingly deploying AMI to leverage its benefits in demand response programs and outage management. Furthermore, AMI supports dynamic pricing models, helping consumers to adjust their energy usage based on real-time pricing signals, thereby promoting energy conservation.



    Automatic Meter Reading (AMR), on the other hand, is widely adopted for its cost-effective and straightforward approach to meter reading. AMR systems automatically collect consumption data and transfer it to a central database, eliminating the need for manual readings. This not only reduces labor costs but also minimizes human errors in data collection, leading to more accurate and timely billing. While AMR does not offer the same level of interactivity as

  13. ENERGY STAR Certified Residential Refrigerators

    • catalog.data.gov
    • myfloridahomeenergy.com
    • +2more
    Updated Jun 14, 2025
    + more versions
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    U.S. Environmental Protection Agency (2025). ENERGY STAR Certified Residential Refrigerators [Dataset]. https://catalog.data.gov/dataset/energy-star-certified-residential-refrigerators
    Explore at:
    Dataset updated
    Jun 14, 2025
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    Certified models meet all ENERGY STAR requirements as listed in the Version 5.0 ENERGY STAR Program Requirements for Residential Refrigerators and Freezers that are effective as of September 15, 2014 or the Version 5.1 Program Requirements that are effective as of August 5, 2021. A detailed listing of key efficiency criteria are available at https://www.energystar.gov/products/appliances/refrigerators/key_product_criteria

  14. t

    Residential Building Construction Global Market Report 2025

    • thebusinessresearchcompany.com
    pdf,excel,csv,ppt
    Updated Jan 10, 2025
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    The Business Research Company (2025). Residential Building Construction Global Market Report 2025 [Dataset]. https://www.thebusinessresearchcompany.com/report/residential-building-construction-global-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jan 10, 2025
    Dataset authored and provided by
    The Business Research Company
    License

    https://www.thebusinessresearchcompany.com/privacy-policyhttps://www.thebusinessresearchcompany.com/privacy-policy

    Description

    Global Residential Building Construction market size is expected to reach $6023.61 billion by 2029 at 6.6%, segmented as by product type, new-single family housing construction, new-multi family housing construction, other types

  15. R

    Russia Construction in Progress: Residential Housing: No of Houses excl...

    • ceicdata.com
    Updated Jul 15, 2021
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    CEICdata.com (2021). Russia Construction in Progress: Residential Housing: No of Houses excl Individual [Dataset]. https://www.ceicdata.com/en/russia/residential-housing-construction-in-progress/construction-in-progress-residential-housing-no-of-houses-excl-individual
    Explore at:
    Dataset updated
    Jul 15, 2021
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Russia
    Variables measured
    Construction In Progress
    Description

    Russia Construction in Progress: Residential Housing: Number of Houses excl Individual data was reported at 6.300 Unit th in 2017. This records a decrease from the previous number of 7.100 Unit th for 2016. Russia Construction in Progress: Residential Housing: Number of Houses excl Individual data is updated yearly, averaging 18.700 Unit th from Dec 1994 (Median) to 2017, with 24 observations. The data reached an all-time high of 87.900 Unit th in 1994 and a record low of 6.300 Unit th in 2017. Russia Construction in Progress: Residential Housing: Number of Houses excl Individual data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.EA011: Residential Housing: Construction in Progress.

  16. T

    Taiwan Residential Transaction excl PS: TP: Avg Value: Per Ping: with Lift

    • ceicdata.com
    Updated Aug 2, 2018
    + more versions
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    CEICdata.com (2018). Taiwan Residential Transaction excl PS: TP: Avg Value: Per Ping: with Lift [Dataset]. https://www.ceicdata.com/en/taiwan/residential-property-transaction-by-region-sinyi-realty
    Explore at:
    Dataset updated
    Aug 2, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    Taiwan
    Variables measured
    Sales
    Description

    Residential Transaction excl PS: TP: Avg Value: Per Ping: with Lift data was reported at 639.000 NTD/Ping th in Mar 2018. This records an increase from the previous number of 623.000 NTD/Ping th for Dec 2017. Residential Transaction excl PS: TP: Avg Value: Per Ping: with Lift data is updated quarterly, averaging 578.000 NTD/Ping th from Mar 2005 (Median) to Mar 2018, with 53 observations. The data reached an all-time high of 733.000 NTD/Ping th in Jun 2014 and a record low of 275.000 NTD/Ping th in Mar 2005. Residential Transaction excl PS: TP: Avg Value: Per Ping: with Lift data remains active status in CEIC and is reported by Sinyi Realty Incorporation. The data is categorized under Global Database’s Taiwan – Table TW.EB022: Residential Property Transaction: By Region: Sinyi Realty.

  17. Certified and Approved Residential Mental Health Programs

    • catalog.data.gov
    • data.ca.gov
    • +3more
    Updated Nov 27, 2024
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    California Department of Health Care Services (2024). Certified and Approved Residential Mental Health Programs [Dataset]. https://catalog.data.gov/dataset/certified-and-approved-residential-mental-health-programs-d53df
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Health Care Serviceshttp://www.dhcs.ca.gov/
    Description

    The California Department of Health Care Services (DHCS) Community Services Division (CSD) provides oversight, certification, and approval for Mental Health Short-Term Residential Therapeutic Programs, Social Rehabilitation Programs, Community Treatment Facilities, and Special Treatment Programs in California. The data show the licensee, program name, type of application, licensing department, bed capacity, location, certificate number and expiration date.

  18. d

    Residential Property Attributes Data (LGATE-287) - Datasets - data.wa.gov.au...

    • catalogue.data.wa.gov.au
    Updated Jan 20, 2020
    + more versions
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    (2020). Residential Property Attributes Data (LGATE-287) - Datasets - data.wa.gov.au [Dataset]. https://catalogue.data.wa.gov.au/dataset/residential-property-atributes-data
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    Dataset updated
    Jan 20, 2020
    Area covered
    Western Australia
    Description

    Residential Property Attribute data provides the most current building attributes available for residential properties as captured within Landgate's Valuation Database. Attribute information is captured as part of the Valuation process and is maintained via a range of sources including building and sub division approval notifications. This data set should not be confused with Sales Evidence data which is based on property attributes as at the time of last sale. This dataset has been spatially enabled by linking cadastral land parcel polygons, sourced from Landgatge's Spatial Cadastral Database (SCDB), to the Residential Property Attribute data sourced from the Valuation database. Customers wishing to access this data set should contact Landgate on +61 (0)8 9273 7683 or email businesssolutions@landgate.wa.gov.au © Western Australian Land Information Authority (Landgate). Use of Landgate data is subject to Personal Use License terms and conditions unless otherwise authorised under approved License terms and conditions. Changes will be applied to this dataset resulting from the implementation of the Community Titles Act 2018 please refer to the Data Dictionary below.

  19. D

    Assessor [Archived 05-11-2022] - Residential Modeling Characteristics...

    • datacatalog.cookcountyil.gov
    • catalog.data.gov
    Updated Jun 23, 2021
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    Cook County Assessor's Office (2021). Assessor [Archived 05-11-2022] - Residential Modeling Characteristics (Chicago) [Dataset]. https://datacatalog.cookcountyil.gov/Property-Taxation/Assessor-Archived-05-11-2022-Residential-Modeling-/8f9d-wy2d
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    csv, application/rssxml, tsv, application/rdfxml, xml, kmz, application/geo+json, kmlAvailable download formats
    Dataset updated
    Jun 23, 2021
    Dataset authored and provided by
    Cook County Assessor's Office
    Area covered
    Chicago
    Description

    This data set contains characteristic data points used by the Cook County Assessor in the 2021 Chicago reassessment to produce initial estimates of the current market value of most Chicago homes (single-family homes, small multi-family homes, and condo units). You can use the "Filter" option to search for a property's PIN or address, and see what data the Assessor’s Office had about a home’s characteristics at the time of modeling*. To learn more about how the 2021 model used this data, read about our public Residential Automated Valuation Model here. Chicago properties not listed here are reassessed using different modeling procedures.



    *Important Note: This dataset is, at the time of publication, an early snapshot of data. Data about a home might change later in the assessment process this year as Assessor’s Office staff and analysts review these properties. After this review, updated characteristics and market values are mailed to homeowners. If the data listed on the assessment notice is incorrect, an appeal can be filed to provide the correct characteristics.

  20. Residential property price index in Denpasar, Bali, Indonesia Q1 2022-Q3...

    • statista.com
    Updated Feb 20, 2025
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    Statista (2025). Residential property price index in Denpasar, Bali, Indonesia Q1 2022-Q3 2024 [Dataset]. https://www.statista.com/statistics/1269168/indonesia-residential-property-price-index-bali/
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    Dataset updated
    Feb 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Indonesia
    Description

    The residential property price index in Denpasar, Bali, Indonesia reached 104.53 index points as of the third quarter of 2024. In Indonesia, foreigners cannot fully own property, but they can acquire the Right of Lease (Hak Sewa), Right to Build (Hak Guna Bangunan/HGB), and Right to Use (Hak Pakai/HP) certificates that will allow them to stay on the property for more than 25 years.

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Carnegie Mellon University Libraries (2023). U.S. Residential Energy Consumption Survey Data [Dataset]. https://redivis.com/datasets/6sn2-6pcw6xhbk
Organization logo

U.S. Residential Energy Consumption Survey Data

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2 scholarly articles cite this dataset (View in Google Scholar)
csv, spss, sas, arrow, parquet, application/jsonl, stata, avroAvailable download formats
Dataset updated
Jul 26, 2023
Dataset provided by
Redivis Inc.
Authors
Carnegie Mellon University Libraries
Area covered
United States
Description

Abstract

The U.S. Residential Energy Consumption Survey, administered by the U.S. Energy Information Administration (EIA), uses a nationally representative sample to collect information about home characteristics, household energy usage, and energy cost. The microdata at the household level from 2020, 2015, 2009, 2005, 2001, 1997, 1993,1990, and 1987, made available by the EIA for public use, were curated by Carnegie Mellon University Libraries to make it more accessible for data analysis.

Methodology

Survey background and technical information

Usage

  • Microdata are organized by year and can be found in "Tables;"
  • Years include 2020, 2015, 2009, 2005, 2001, 1997, 1993, 1990, and 1987;
  • In "Files," there are 9 folders (named by year), each of which contains the codebook(s) for a given year; for a given year, the codebook is provided in one file for all variables, if the EIA made this available; for some years, the EIA uses multiple files to organize its codebook (e.g., 1997);
  • For 2020, 2015, and 2009, there is a PDF file (e.g., microdata_guide_xxxx) that describes how to use the provided sample weights to calculate standard errors; for other years, similar instructions can be found via the URL of the microdata description page on the EIA's website, provided in the description field of the microdata table for a given year (e.g., 1993).

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