67 datasets found
  1. Danish Residential Housing Prices 1992-2024

    • kaggle.com
    Updated Nov 29, 2024
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    Martin Frederiksen (2024). Danish Residential Housing Prices 1992-2024 [Dataset]. https://www.kaggle.com/datasets/martinfrederiksen/danish-residential-housing-prices-1992-2024
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 29, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Martin Frederiksen
    Description

    Danish residential house prices (1992-2024)

    About the dataset (cleaned data)

    The dataset (parquet file) contains approximately 1,5 million residential household sales from Denmark during the periode from 1992 to 2024. All cleaned data is merged into one parquet file here on Kaggle. Note some cleaning might still be nessesary, see notebook under code.

    Also, added a random sample (100k) of the dataset as a csv file.

    Done in Python version: 2.6.3.

    Raw data

    Raw data and more info is avaible on Github repositary: https://github.com/MartinSamFred/Danish-residential-housingPrices-1992-2024.git

    The dataset has been scraped and cleaned (to some extent). Cleaned files are located in: \Housing_data_cleaned \ named DKHousingprices_1 and 2. Saved in parquet format (and saved as two files due to size).

    Cleaning from raw files to above cleaned files is outlined in BoligsalgConcatCleanigGit.ipynb. (done in Python version: 2.6.3)

    Webscraping script: Webscrape_script.ipynb (done in Python version: 2.6.3)

    Provided you want to clean raw files from scratch yourself:

    Uncleaned scraped files (81 in total) are located in \Housing_data_raw \ Housing_data_batch1 and 2. Saved in .csv format and compressed as 7-zip files.

    Additional files added/appended to the Cleaned files are located in \Addtional_data and named DK_inflation_rates, DK_interest_rates, DK_morgage_rates and DK_regions_zip_codes. Saved in .xlsx format.

    Content

    Each row in the dataset contains a residential household sale during the period 1992 - 2024.

    “Cleaned files” columns:

    0 'date': is the transaction date

    1 'quarter': is the quarter based on a standard calendar year

    2 'house_id': unique house id (could be dropped)

    3 'house_type': can be 'Villa', 'Farm', 'Summerhouse', 'Apartment', 'Townhouse'

    4 'sales_type': can be 'regular_sale', 'family_sale', 'other_sale', 'auction', '-' (“-“ could be dropped)

    5 'year_build': range 1000 to 2024 (could be narrowed more)

    6 'purchase_price': is purchase price in DKK

    7 '%_change_between_offer_and_purchase': could differ negatively, be zero or positive

    8 'no_rooms': number of rooms

    9 'sqm': number of square meters

    10 'sqm_price': 'purchase_price' divided by 'sqm_price'

    11 'address': is the address

    12 'zip_code': is the zip code

    13 'city': is the city

    14 'area': 'East & mid jutland', 'North jutland', 'Other islands', 'Capital, Copenhagen', 'South jutland', 'North Zealand', 'Fyn & islands', 'Bornholm'

    15 'region': 'Jutland', 'Zealand', 'Fyn & islands', 'Bornholm'

    16 'nom_interest_rate%': Danish nominal interest rate show pr. quarter however actual rate is not converted from annualized to quarterly

    17 'dk_ann_infl_rate%': Danish annual inflation rate show pr. quarter however actual rate is not converted from annualized to quarterly

    18 'yield_on_mortgage_credit_bonds%': 30 year mortgage bond rate (without spread)

    Uses

    Various (statistical) analysis, visualisation and I assume machine learning as well.

    Practice exercises etc.

    Uncleaned scraped files are great to practice cleaning, especially string cleaning. I’m not an expect as seen in the coding ;-).

    Disclaimer

    The data and information in the data set provided here are intended to be used primarily for educational purposes only. I do not own any data, and all rights are reserved to the respective owners as outlined in “Acknowledgements/sources”. The accuracy of the dataset is not guaranteed accordingly any analysis and/or conclusions is solely at the user's own responsibly and accountability.

    Acknowledgements/sources

    All data is publicly available on:

    Boliga: https://www.boliga.dk/

    Finans Danmark: https://finansdanmark.dk/

    Danmarks Statistik: https://www.dst.dk/da

    Statistikbanken: https://statistikbanken.dk/statbank5a/default.asp?w=2560

    Macrotrends: https://www.macrotrends.net/

    PostNord: https://www.postnord.dk/

    World Data: https://www.worlddata.info/

    Dataset picture / cover photo: Nick Karvounis (https://unsplash.com/)

    Have fun… :-)

  2. F

    Real Residential Property Prices for Denmark

    • fred.stlouisfed.org
    json
    Updated Nov 27, 2025
    + more versions
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    (2025). Real Residential Property Prices for Denmark [Dataset]. https://fred.stlouisfed.org/series/QDKR628BIS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 27, 2025
    License

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

    Area covered
    Denmark
    Description

    Graph and download economic data for Real Residential Property Prices for Denmark (QDKR628BIS) from Q1 1970 to Q2 2025 about Denmark, residential, HPI, housing, real, price index, indexes, and price.

  3. T

    Denmark House Price Index

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 15, 2025
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    TRADING ECONOMICS (2025). Denmark House Price Index [Dataset]. https://tradingeconomics.com/denmark/housing-index
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Sep 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Mar 31, 2005 - Jun 30, 2025
    Area covered
    Denmark
    Description

    Housing Index in Denmark increased to 151.21 points in the second quarter of 2025 from 148.65 points in the first quarter of 2025. This dataset provides - Denmark House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  4. Residential real estate price forecast change in Denmark 2021-2024

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Residential real estate price forecast change in Denmark 2021-2024 [Dataset]. https://www.statista.com/statistics/1165931/residential-real-estate-price-forecast-change-in-denmark/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Denmark
    Description

    The average house price in Denmark increased sharply in 2021, but growth slowed down to approximately *** percent in 2022. According to the forecast, 2023 is going to see house prices fall by almost **** percent. In 2024, house prices are expected to decrease further by about *** percent. As of 2021, the average sales price of single family homes in Denmark amounted to over *** Danish kroner.

  5. D

    Denmark House Prices Growth

    • ceicdata.com
    Updated Nov 15, 2025
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    CEICdata.com (2025). Denmark House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/denmark/house-prices-growth
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    Dataset updated
    Nov 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
    Feb 1, 2021 - Jan 1, 2022
    Area covered
    Denmark
    Description

    Key information about House Prices Growth

    • Denmark house prices grew 12.3% YoY in Jan 2022, following an increase of 9.2% YoY in the previous month.
    • YoY growth data is updated monthly, available from Jan 2007 to Jan 2022, with an average growth rate of 0.0%.

    CEIC calculates monthly House Prices Growth from Property Price Index. Statistics Denmark used to provide Property Price Index of One Family Houses with base 2006=100. House Prices Growth covers single family houses only.

  6. House price index in Denmark 2018-2023, per quarter

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). House price index in Denmark 2018-2023, per quarter [Dataset]. https://www.statista.com/statistics/659691/quarterly-house-price-index-in-denmark/
    Explore at:
    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Denmark
    Description

    The house price index in Denmark increased between 2015 and 2023, with prices peaking in 2022. The index tracks the price development for residential real estate, with 2015 chosen as a baseline year. In the fourth quarter of 2023, the index for existing dwellings amounted to *** index points, suggesting a price increase of ** percent since 2015.

  7. T

    Denmark - House price index

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 22, 2021
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    TRADING ECONOMICS (2021). Denmark - House price index [Dataset]. https://tradingeconomics.com/denmark/house-price-idx-eurostat-data.html
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Mar 22, 2021
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Denmark
    Description

    Denmark - House price index was 7.30% in June of 2025, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Denmark - House price index - last updated from the EUROSTAT on December of 2025. Historically, Denmark - House price index reached a record high of 30.40% in June of 2006 and a record low of -15.60% in March of 2009.

  8. T

    Denmark Residential Property Prices

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 15, 2025
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    TRADING ECONOMICS (2025). Denmark Residential Property Prices [Dataset]. https://tradingeconomics.com/denmark/residential-property-prices
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset updated
    Sep 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Mar 31, 1971 - Jun 30, 2025
    Area covered
    Denmark
    Description

    Residential Property Prices in Denmark increased 7.31 percent in June of 2025 over the same month in the previous year. This dataset includes a chart with historical data for Denmark Residential Property Prices.

  9. N

    Denmark Real Estate Market Size and Share | Statistics - 2030

    • nextmsc.com
    pdf,excel,csv,ppt
    Updated Dec 3, 2025
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    Next Move Strategy Consulting (2025). Denmark Real Estate Market Size and Share | Statistics - 2030 [Dataset]. https://www.nextmsc.com/report/denmark-real-estate-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Dec 3, 2025
    Dataset authored and provided by
    Next Move Strategy Consulting
    License

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

    Time period covered
    2023 - 2030
    Area covered
    Global, Denmark
    Description

    In 2023, the Denmark Real Estate Market reached a value of USD 81.6 million, and it is projected to surge to USD 110.4 million by 2030.

  10. Denmark Luxury Residential Real Estate Market Size & Share Analysis -...

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Apr 29, 2025
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    Mordor Intelligence (2025). Denmark Luxury Residential Real Estate Market Size & Share Analysis - Industry Research Report - Growth Trends [Dataset]. https://www.mordorintelligence.com/industry-reports/denmark-luxury-residential-real-estate-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Apr 29, 2025
    Dataset provided by
    Authors
    Mordor Intelligence
    License

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

    Time period covered
    2019 - 2030
    Area covered
    Denmark
    Description

    The Denmark Luxury Residential Real Estate Market Report is Segmented by Type (Apartments and Condominiums, Villas, and Landed Houses) and by Cities (Copenhagen, Aarhus, Odense, Aalborg, and the Rest of Denmark). The Report Offers Market Size and Forecasts for the Denmark Luxury Homes Market in Value (USD Billion) for all the Above Segments.

  11. New housing prices in selected cities compared to national average Denmark...

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). New housing prices in selected cities compared to national average Denmark 2023 [Dataset]. https://www.statista.com/statistics/1051998/new-housing-prices-in-selected-cities-compared-to-national-average-denmark/
    Explore at:
    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Denmark
    Description

    New residential housing in Copenhagen cost, on average, *** percent of the national average in Denmark in 2023 and represented the largest difference in the average transaction price of new residential properties in the country that year. The corresponding figure for Aarhus was ***** percent, and **** percent for Odense during the evaluated period.

  12. y

    Denmark House Price Index

    • ycharts.com
    html
    Updated Oct 3, 2025
    + more versions
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    Eurostat (2025). Denmark House Price Index [Dataset]. https://ycharts.com/indicators/denmark_house_price_index
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Oct 3, 2025
    Dataset provided by
    YCharts
    Authors
    Eurostat
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Mar 31, 2005 - Jun 30, 2025
    Area covered
    Denmark
    Variables measured
    Denmark House Price Index
    Description

    View quarterly updates and historical trends for Denmark House Price Index. Source: Eurostat. Track economic data with YCharts analytics.

  13. D

    Denmark Luxury Residential Real Estate Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 7, 2025
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    Data Insights Market (2025). Denmark Luxury Residential Real Estate Market Report [Dataset]. https://www.datainsightsmarket.com/reports/denmark-luxury-residential-real-estate-market-17383
    Explore at:
    ppt, pdf, docAvailable 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
    Denmark
    Variables measured
    Market Size
    Description

    The Denmark luxury residential real estate market exhibits robust growth potential, projected to expand significantly over the forecast period (2025-2033). A compound annual growth rate (CAGR) exceeding 5% indicates a consistently increasing market value, driven by several key factors. Strong economic performance in Denmark, coupled with a limited supply of high-end properties, particularly in prime locations like Copenhagen, Aarhus, and Odense, fuels heightened demand. Increasing high-net-worth individuals (HNWIs) seeking prestigious residences contribute to this upward trend. Furthermore, Denmark's attractive lifestyle, strong social infrastructure, and political stability further enhance the market's appeal to both domestic and international buyers. While rising construction costs and potential regulatory changes pose some challenges, the overall market outlook remains positive. The segment breakdown reveals a preference for villas and landed houses, with Copenhagen commanding the largest market share due to its concentration of affluent residents and business opportunities. Leading developers such as NRE Group, Rodgaard Ejendomme, and others play a crucial role in shaping the market's dynamics. The market's historical performance (2019-2024) likely showcased a similar growth trajectory, setting a strong foundation for future expansion. The continued growth in the Danish luxury residential market is anticipated to be fueled by ongoing investment in infrastructure, particularly in sustainable and smart home technologies within new developments. The increasing popularity of eco-friendly and energy-efficient luxury homes will likely further drive demand. While the "Rest of Denmark" segment will show growth, it will likely lag behind the major cities due to differences in population density and economic activity. Analyzing the performance of individual developers and their project pipelines will offer more granular insights into future market trends. Future research should focus on assessing the impact of potential economic fluctuations and interest rate changes on the market's growth trajectory. The competitive landscape, with established players alongside emerging developers, warrants close observation to understand market share dynamics and strategic partnerships. This comprehensive report provides an in-depth analysis of the Denmark luxury residential real estate market, covering the period from 2019 to 2033. With a focus on high-value properties in key cities like Copenhagen, Aarhus, Odense, and Aalborg, this report offers invaluable insights for investors, developers, and industry professionals seeking to navigate this dynamic market. The study period spans from 2019-2033, with 2025 serving as the base and estimated year, and a forecast period from 2025-2033. Historical data from 2019-2024 provides a robust foundation for future projections. Key Search Terms: Denmark luxury real estate, Copenhagen luxury apartments, Aarhus luxury villas, Danish real estate market, luxury property investment Denmark, residential real estate Denmark, Danish luxury homes, high-end real estate Denmark. Recent developments include: November 2022: The AkademikerPension expands real estate allocation. Whereas the portfolio currently consists primarily of offices in Copenhagen, the distribution in 2026 should be 50% residential, 30% offices, and various construction projects. Most investments will be made in Copenhagen and Aarhus, but approximately 25% of the real estate investments will be made in smaller Danish cities., June 2022: Orange Capital Partners, a European real estate investment firm, has purchased a portfolio of seven residential blocks in Denmark from NREP for an undisclosed sum. NREP stated that its Nordic Strategies Fund II held the 110,000 sqm residential portfolio. The portfolio comprises 1,220 modern rental apartments spread across seven residential buildings in Copenhagen and Aarhus. Teglgrdshusene, Green Square Garden, Nordhuset, Restad Have, Resource Rows, Risskov Brynet, and Lisbjerg are among the properties.. Key drivers for this market are: 4., Increasing manufacturing sites4.; The increasing middle-income group and access to mortgage finance. Potential restraints include: 4., Rising cost of construction materials.. Notable trends are: Increasing demand for luxury residences driving the market.

  14. D

    Denmark Luxury Residential Real Estate Market Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Sep 27, 2025
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    Archive Market Research (2025). Denmark Luxury Residential Real Estate Market Report [Dataset]. https://www.archivemarketresearch.com/reports/denmark-luxury-residential-real-estate-market-869093
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Sep 27, 2025
    Dataset authored and provided by
    Archive Market Research
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Denmark
    Variables measured
    Market Size
    Description

    The Denmark Luxury Residential Real Estate Market is poised for substantial growth, projected to reach approximately USD 18,500 million by 2025, and is expected to expand at a Compound Annual Growth Rate (CAGR) exceeding 5.00% from 2019 to 2033. This robust expansion is fueled by a confluence of factors, including increasing disposable incomes among high-net-worth individuals, a persistent demand for premium living spaces, and the enduring appeal of Denmark's high quality of life, picturesque landscapes, and stable economic environment. The market is characterized by a strong preference for both meticulously designed villas and landed houses offering privacy and space, as well as contemporary condominiums and apartments in urban centers, catering to diverse lifestyle choices. Emerging trends point towards a growing emphasis on sustainable luxury, with eco-friendly materials and energy-efficient designs becoming increasingly sought after by discerning buyers. Furthermore, the integration of smart home technology and bespoke amenities is shaping the future of high-end residential offerings, enhancing both convenience and exclusivity. Despite the promising outlook, the market faces certain restraints that warrant strategic consideration. Rising interest rates and a potential tightening of credit availability could temper buyer sentiment, particularly for those relying on financing. Additionally, the inherent cost of land and construction in prime Danish locations, coupled with stringent building regulations, contributes to elevated property prices, potentially limiting affordability for a segment of the luxury buyer pool. However, the underlying demand, driven by global wealth accumulation and a desire for secure, high-value assets, is expected to largely counteract these challenges. Key urban hubs like Copenhagen and Aarhus continue to lead the market, attracting significant investment and commanding premium prices, while other regions like Odense and Aalborg are witnessing steady development and offer attractive entry points. The competitive landscape features a dynamic array of established and emerging real estate developers and agencies, all vying to capture a share of this lucrative market. This report provides a comprehensive analysis of the Denmark Luxury Residential Real Estate Market, offering in-depth insights into its structure, dynamics, and future trajectory. We delve into key segments, regional trends, driving forces, challenges, and emerging opportunities, supported by an extensive list of leading players and significant industry developments. This report is an essential resource for investors, developers, and stakeholders seeking to understand and capitalize on the high-end property landscape in Denmark. Key drivers for this market are: 4., Increasing manufacturing sites4.; The increasing middle-income group and access to mortgage finance. Potential restraints include: 4., Rising cost of construction materials.. Notable trends are: Increasing demand for luxury residences driving the market.

  15. Average price per property sold in Copenhagen 2014-2023

    • statista.com
    Updated Jul 18, 2025
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    Statista (2025). Average price per property sold in Copenhagen 2014-2023 [Dataset]. https://www.statista.com/statistics/1307100/copenhagen-average-property-prices/
    Explore at:
    Dataset updated
    Jul 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Denmark
    Description

    The average sales price of all properties in Denmark decreased to *** million Danish Kroner compared to the previous year. Nevertheless, the last two years in this industry recorded a significantly higher average price than the preceding years.Find more statistics on all properties in Denmark with key insights such as Average purchasing price for single-family houses and Average purchasing price for holiday houses.

  16. S

    Scandinavian Real Estate Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 12, 2025
    + more versions
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    Data Insights Market (2025). Scandinavian Real Estate Market Report [Dataset]. https://www.datainsightsmarket.com/reports/scandinavian-real-estate-market-17381
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Mar 12, 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
    Global, Scandinavia
    Variables measured
    Market Size
    Description

    The Scandinavian real estate market, encompassing countries like Sweden, Norway, Denmark, Finland, and Iceland, exhibits robust growth potential, fueled by a combination of factors. A consistently strong CAGR exceeding 5% indicates a healthy and expanding market. Key drivers include increasing urbanization, a growing population, particularly in major cities like Oslo, Stockholm, and Copenhagen, and a sustained demand for both residential and commercial properties. Furthermore, government policies supporting sustainable development and infrastructure projects contribute to the market's positive trajectory. The market is segmented into villas and landed houses, which often command higher prices due to limited supply and desirable locations, and apartments and condominiums, catering to a broader range of buyers and representing a larger portion of the market. The dominance of established players like Riksbyggen, OBOS BBL, and Balder highlights the market's maturity, yet the presence of smaller, more agile companies signifies ongoing competition and innovation. While data on exact market size is unavailable, a conservative estimation placing the 2025 market value at approximately €150 Billion ( based on general European real estate market values and applying the provided CAGR) seems plausible. Further growth is expected, driven by continued economic stability and ongoing investment in the region's infrastructure. Looking forward, the Scandinavian real estate market is expected to face some challenges, including rising interest rates impacting affordability, and potential fluctuations in the global economy. However, the strong underlying fundamentals of population growth, limited land availability in desirable urban areas, and continued investment in infrastructure suggest resilience and continued expansion. The market's diversity, with a mix of large established companies and smaller players, ensures a competitive landscape and capacity for adaptation. Trends toward sustainable construction and smart homes will likely play an increasingly significant role in shaping the future of the market, with companies prioritizing environmentally friendly practices and technologically advanced properties. Segmentation within the market will continue to be relevant, with the demand for specific property types varying across regions and based on changing demographic needs. Key drivers for this market are: 4., Increasing manufacturing sites4.; The increasing middle-income group and access to mortgage finance. Potential restraints include: 4., Rising cost of construction materials.. Notable trends are: Growing Housing Market in Norway to Drive the Market.

  17. T

    Denmark - Housing cost overburden rate: Tenant, rent at market price

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 20, 2021
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    TRADING ECONOMICS (2021). Denmark - Housing cost overburden rate: Tenant, rent at market price [Dataset]. https://tradingeconomics.com/denmark/housing-cost-overburden-rate-tenant-rent-at-market-price-eurostat-data.html
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Jun 20, 2021
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Denmark
    Description

    Denmark - Housing cost overburden rate: Tenant, rent at market price was 28.70% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Denmark - Housing cost overburden rate: Tenant, rent at market price - last updated from the EUROSTAT on November of 2025. Historically, Denmark - Housing cost overburden rate: Tenant, rent at market price reached a record high of 37.10% in December of 2013 and a record low of 25.20% in December of 2020.

  18. Reasons for having second-hand furniture in the home in Denmark 2018

    • statista.com
    Updated Feb 15, 2019
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    Statista (2019). Reasons for having second-hand furniture in the home in Denmark 2018 [Dataset]. https://www.statista.com/statistics/1085819/reasons-for-having-second-hand-furniture-in-the-home-in-denmark/
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    Dataset updated
    Feb 15, 2019
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 24, 2018 - Oct 28, 2018
    Area covered
    Denmark
    Description

    Most Danes with a share of ** percent of respondents did not have second-hand furniture in their home in 2018. The most frequent reason to have second-hand furniture in the home was because they were inherited, reaching ** percent of respondents. The most infrequent reasons were a better quality and concerns for the environment with roughly *** percent of the respondents choosing these reasons.

  19. F

    Harmonized Index of Consumer Prices: Actual Rentals for Housing for Denmark

    • fred.stlouisfed.org
    json
    Updated Nov 19, 2025
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    (2025). Harmonized Index of Consumer Prices: Actual Rentals for Housing for Denmark [Dataset]. https://fred.stlouisfed.org/series/CP0410DKM086NEST
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 19, 2025
    License

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

    Area covered
    Denmark
    Description

    Graph and download economic data for Harmonized Index of Consumer Prices: Actual Rentals for Housing for Denmark (CP0410DKM086NEST) from Jan 1996 to Oct 2025 about Denmark, rent, harmonized, CPI, housing, price index, indexes, and price.

  20. y

    Denmark House Price Index

    • ycharts.com
    html
    Updated Oct 10, 2025
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    Federal Reserve Bank of Dallas (2025). Denmark House Price Index [Dataset]. https://ycharts.com/indicators/denmark_house_price_index_ihpd
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    htmlAvailable download formats
    Dataset updated
    Oct 10, 2025
    Dataset provided by
    YCharts
    Authors
    Federal Reserve Bank of Dallas
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Mar 31, 1975 - Jun 30, 2025
    Area covered
    Denmark
    Variables measured
    Denmark House Price Index
    Description

    View quarterly updates and historical trends for Denmark House Price Index. Source: Federal Reserve Bank of Dallas. Track economic data with YCharts analy…

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Martin Frederiksen (2024). Danish Residential Housing Prices 1992-2024 [Dataset]. https://www.kaggle.com/datasets/martinfrederiksen/danish-residential-housing-prices-1992-2024
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Danish Residential Housing Prices 1992-2024

Analyze pricing trends during the past 30 years

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Nov 29, 2024
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Martin Frederiksen
Description

Danish residential house prices (1992-2024)

About the dataset (cleaned data)

The dataset (parquet file) contains approximately 1,5 million residential household sales from Denmark during the periode from 1992 to 2024. All cleaned data is merged into one parquet file here on Kaggle. Note some cleaning might still be nessesary, see notebook under code.

Also, added a random sample (100k) of the dataset as a csv file.

Done in Python version: 2.6.3.

Raw data

Raw data and more info is avaible on Github repositary: https://github.com/MartinSamFred/Danish-residential-housingPrices-1992-2024.git

The dataset has been scraped and cleaned (to some extent). Cleaned files are located in: \Housing_data_cleaned \ named DKHousingprices_1 and 2. Saved in parquet format (and saved as two files due to size).

Cleaning from raw files to above cleaned files is outlined in BoligsalgConcatCleanigGit.ipynb. (done in Python version: 2.6.3)

Webscraping script: Webscrape_script.ipynb (done in Python version: 2.6.3)

Provided you want to clean raw files from scratch yourself:

Uncleaned scraped files (81 in total) are located in \Housing_data_raw \ Housing_data_batch1 and 2. Saved in .csv format and compressed as 7-zip files.

Additional files added/appended to the Cleaned files are located in \Addtional_data and named DK_inflation_rates, DK_interest_rates, DK_morgage_rates and DK_regions_zip_codes. Saved in .xlsx format.

Content

Each row in the dataset contains a residential household sale during the period 1992 - 2024.

“Cleaned files” columns:

0 'date': is the transaction date

1 'quarter': is the quarter based on a standard calendar year

2 'house_id': unique house id (could be dropped)

3 'house_type': can be 'Villa', 'Farm', 'Summerhouse', 'Apartment', 'Townhouse'

4 'sales_type': can be 'regular_sale', 'family_sale', 'other_sale', 'auction', '-' (“-“ could be dropped)

5 'year_build': range 1000 to 2024 (could be narrowed more)

6 'purchase_price': is purchase price in DKK

7 '%_change_between_offer_and_purchase': could differ negatively, be zero or positive

8 'no_rooms': number of rooms

9 'sqm': number of square meters

10 'sqm_price': 'purchase_price' divided by 'sqm_price'

11 'address': is the address

12 'zip_code': is the zip code

13 'city': is the city

14 'area': 'East & mid jutland', 'North jutland', 'Other islands', 'Capital, Copenhagen', 'South jutland', 'North Zealand', 'Fyn & islands', 'Bornholm'

15 'region': 'Jutland', 'Zealand', 'Fyn & islands', 'Bornholm'

16 'nom_interest_rate%': Danish nominal interest rate show pr. quarter however actual rate is not converted from annualized to quarterly

17 'dk_ann_infl_rate%': Danish annual inflation rate show pr. quarter however actual rate is not converted from annualized to quarterly

18 'yield_on_mortgage_credit_bonds%': 30 year mortgage bond rate (without spread)

Uses

Various (statistical) analysis, visualisation and I assume machine learning as well.

Practice exercises etc.

Uncleaned scraped files are great to practice cleaning, especially string cleaning. I’m not an expect as seen in the coding ;-).

Disclaimer

The data and information in the data set provided here are intended to be used primarily for educational purposes only. I do not own any data, and all rights are reserved to the respective owners as outlined in “Acknowledgements/sources”. The accuracy of the dataset is not guaranteed accordingly any analysis and/or conclusions is solely at the user's own responsibly and accountability.

Acknowledgements/sources

All data is publicly available on:

Boliga: https://www.boliga.dk/

Finans Danmark: https://finansdanmark.dk/

Danmarks Statistik: https://www.dst.dk/da

Statistikbanken: https://statistikbanken.dk/statbank5a/default.asp?w=2560

Macrotrends: https://www.macrotrends.net/

PostNord: https://www.postnord.dk/

World Data: https://www.worlddata.info/

Dataset picture / cover photo: Nick Karvounis (https://unsplash.com/)

Have fun… :-)

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