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TwitterThe average sales price of new homes in the United States experienced a slight decrease in 2024, dropping to 512,2000 U.S. dollars from the peak of 521,500 U.S. dollars in 2022. This decline came after years of substantial price increases, with the average price surpassing 400,000 U.S. dollars for the first time in 2021. The recent cooling in the housing market reflects broader economic trends and changing consumer sentiment towards homeownership. Factors influencing home prices and affordability The rapid rise in home prices over the past few years has been driven by several factors, including historically low mortgage rates and increased demand during the COVID-19 pandemic. However, the market has since slowed down, with the number of home sales declining by over two million between 2021 and 2023. This decline can be attributed to rising mortgage rates and decreased affordability. The Housing Affordability Index hit a record low of 98.1 in 2023, indicating that the median-income family could no longer afford a median-priced home. Future outlook for the housing market Despite the recent cooling, experts forecast a potential recovery in the coming years. The Freddie Mac House Price Index showed a growth of 6.5 percent in 2023, which is still above the long-term average of 4.4 percent since 1990. However, homebuyer sentiment remains low across all age groups, with people aged 45 to 64 expressing the most pessimistic outlook. The median sales price of existing homes is expected to increase slightly until 2025, suggesting that affordability challenges may persist in the near future.
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Graph and download economic data for Average Sales Price of Houses Sold for the United States (ASPUS) from Q1 1963 to Q2 2025 about sales, housing, and USA.
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TwitterThe year-end value of the S&P Case Shiller National Home Price Index amounted to 321.45 in 2024. The index value was equal to 100 as of January 2000, so if the index value is equal to 130 in a given year, for example, it means that the house prices increased by 30 percent since 2000. S&P/Case Shiller U.S. home indices – additional informationThe S&P Case Shiller National Home Price Index is calculated on a monthly basis and is based on the prices of single-family homes in nine U.S. Census divisions: New England, Middle Atlantic, East North Central, West North Central, South Atlantic, East South Central, West South Central, Mountain and Pacific. The index is the leading indicator of the American housing market and one of the indicators of the state of the broader economy. The index illustrates the trend of home prices and can be helpful during house purchase decisions. When house prices are rising, a house buyer might want to speed up the house purchase decision as the transaction costs can be much higher in the future. The S&P Case Shiller National Home Price Index has been on the rise since 2011.The S&P Case Shiller National Home Price Index is one of the indices included in the S&P/Case-Shiller Home Price Index Series. Other indices are the S&P/Case Shiller 20-City Composite Home Price Index, the S&P/Case Shiller 10-City Composite Home Price Index and twenty city composite indices.
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Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q2 2025 about sales, median, housing, and USA.
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Graph and download economic data for All-Transactions House Price Index for the United States (USSTHPI) from Q1 1975 to Q3 2025 about appraisers, HPI, housing, price index, indexes, price, and USA.
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Key information about House Prices Growth
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TwitterHouse prices in Spain have risen year-on-year since 2014. The house price index measures the development of house prices, with 2015 chosen as a base year when the index value was 100. Between 2021 and 2023, the house price index in Spain rose by eight percent for new housing and 3.2 percent for existing housing. Overall, newly built housing has appreciated more than existing homes.
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Housing Index in Germany increased to 220.43 points in October from 219.91 points in September of 2025. This dataset provides the latest reported value for - Germany House Price Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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All-Transactions House Price Index for Michigan was 562.95000 Index 1980 Q1=100 in April of 2025, according to the United States Federal Reserve. Historically, All-Transactions House Price Index for Michigan reached a record high of 562.95000 in April of 2025 and a record low of 60.31000 in January of 1975. Trading Economics provides the current actual value, an historical data chart and related indicators for All-Transactions House Price Index for Michigan - last updated from the United States Federal Reserve on November of 2025.
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TwitterIn 2025, India was the country with the highest increase in house prices since 2010 among the Asia-Pacific (APAC) countries under observation. In the second quarter of the year, the nominal house price index in India reached over 359 index points. This suggests an increase of 259 percent since 2010, the baseline year when the index value was set to 100. It is important to note that the nominal index does not account for the effects of inflation, meaning when adjusted for inflation, price growth in real terms was slower.
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All-Transactions House Price Index for Florida was 824.64000 Index 1980 Q1=100 in April of 2025, according to the United States Federal Reserve. Historically, All-Transactions House Price Index for Florida reached a record high of 830.88000 in October of 2024 and a record low of 66.05000 in January of 1975. Trading Economics provides the current actual value, an historical data chart and related indicators for All-Transactions House Price Index for Florida - last updated from the United States Federal Reserve on December of 2025.
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Housing Index in Hong Kong increased to 143.46 points in November 23 from 142.49 points in the previous week. This dataset provides - Hong Kong House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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TwitterPortugal, Canada, and the United States were the countries with the highest house price to income ratio in 2024. In all three countries, the index exceeded 130 index points, while the average for all OECD countries stood at 116.2 index points. The index measures the development of housing affordability and is calculated by dividing nominal house price by nominal disposable income per head, with 2015 set as a base year when the index amounted to 100. An index value of 120, for example, would mean that house price growth has outpaced income growth by 20 percent since 2015. How have house prices worldwide changed since the COVID-19 pandemic? House prices started to rise gradually after the global financial crisis (2007–2008), but this trend accelerated with the pandemic. The countries with advanced economies, which usually have mature housing markets, experienced stronger growth than countries with emerging economies. Real house price growth (accounting for inflation) peaked in 2022 and has since lost some of the gain. Although, many countries experienced a decline in house prices, the global house price index shows that property prices in 2023 were still substantially higher than before COVID-19. Renting vs. buying In the past, house prices have grown faster than rents. However, the home affordability has been declining notably, with a direct impact on rental prices. As people struggle to buy a property of their own, they often turn to rental accommodation. This has resulted in a growing demand for rental apartments and soaring rental prices.
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All-Transactions House Price Index for Colorado was 857.96000 Index 1980 Q1=100 in April of 2025, according to the United States Federal Reserve. Historically, All-Transactions House Price Index for Colorado reached a record high of 857.96000 in April of 2025 and a record low of 54.30000 in January of 1975. Trading Economics provides the current actual value, an historical data chart and related indicators for All-Transactions House Price Index for Colorado - last updated from the United States Federal Reserve on December of 2025.
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TwitterThe S&P Case Shiller San Diego Home Price Index measures changes in the prices of existing single-family homes in San Diego. The index value was equal to 100 as of January 2000, so if the index value is equal to 130 in a given month, for example, it means that the house prices have increased by 30 percent since 2000. The value of the S&P Case Shiller San Diego Home Price Index amounted to approximately ****** in August 2025. That was significantly higher than the national average.
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Graph and download economic data for All-Transactions House Price Index for California (CASTHPI) from Q1 1975 to Q3 2025 about appraisers, CA, HPI, housing, price index, indexes, price, and USA.
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TwitterHouse prices in Spain have risen year-on-year since 2013. The house price index measures the development of house prices, with 2015 chosen as a base year when the index value was set to 100. In 2024, the index stood at 159.66 index points. Overall, newly built homes saw appreciation faster than existing homes. Catalonia, the Balearic Islands, and Madrid were the Spanish regions where prices of both new and existing housing have risen the most in recent years.
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TwitterAbout 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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Key information about House Prices Growth
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Graph and download economic data for All-Transactions House Price Index for Los Angeles County, CA (ATNHPIUS06037A) from 1975 to 2024 about Los Angeles County, CA; Los Angeles; CA; HPI; housing; price index; indexes; price; and USA.
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TwitterThe average sales price of new homes in the United States experienced a slight decrease in 2024, dropping to 512,2000 U.S. dollars from the peak of 521,500 U.S. dollars in 2022. This decline came after years of substantial price increases, with the average price surpassing 400,000 U.S. dollars for the first time in 2021. The recent cooling in the housing market reflects broader economic trends and changing consumer sentiment towards homeownership. Factors influencing home prices and affordability The rapid rise in home prices over the past few years has been driven by several factors, including historically low mortgage rates and increased demand during the COVID-19 pandemic. However, the market has since slowed down, with the number of home sales declining by over two million between 2021 and 2023. This decline can be attributed to rising mortgage rates and decreased affordability. The Housing Affordability Index hit a record low of 98.1 in 2023, indicating that the median-income family could no longer afford a median-priced home. Future outlook for the housing market Despite the recent cooling, experts forecast a potential recovery in the coming years. The Freddie Mac House Price Index showed a growth of 6.5 percent in 2023, which is still above the long-term average of 4.4 percent since 1990. However, homebuyer sentiment remains low across all age groups, with people aged 45 to 64 expressing the most pessimistic outlook. The median sales price of existing homes is expected to increase slightly until 2025, suggesting that affordability challenges may persist in the near future.