Average house prices are affected by several factors: Economic growth, unemployment, interest rates and mortgage availability can all affect average prices. A shortage of supply means that the need for housing and, therefore, competitive market created will push up house prices, whereas an excess of housing means prices fall to stimulate buyers. Location, location, location In December 2023, the average house price in England was more expensive than in any other country. This huge disparity in average house prices is in no small part down to the country's capital city, where the average asking price was more than double that of the UK’s average. Even in London, for those who can afford a mortgage, the savings made through buying over renting can be beneficial. House prices still set to grow In 2024, the number of housing transactions in the UK is set to fall to *** million. With the expected decline in transactions, the average house price is also set to stagnate across the UK.

House Price Index YoY in the United States decreased to 3 percent in April from 3.90 percent in March of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

The average house price in England started to increase in the first half of 2024, after falling by over three percent year-on-year in December 2023. In June 2024, the house price index amounted to 149.7 index points, suggesting an increase in house prices of 2.4 percent since the same month in 2023 and a roughly 50 percent rise since 2015 - the baseline year for the index. Among the different regions in the UK, West and East Midlands experienced the strongest growth.

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.

Average House Prices in Canada decreased to 690900 CAD in May from 692400 CAD in April of 2025. This dataset includes a chart with historical data for Canada Average House Prices.

In the fourth quarter of 2024, the Bulgaria, Spain, and Portugal registered the highest house price increase in real terms (adjusted for inflation). In Bulgaria, house prices outgrew inflation by nearly ** percent. When comparing the nominal price change, which does not take inflation into consideration, the average house price growth was even higher.

Meanwhile, many countries experienced declining prices, with Turkey recording the biggest decline, at ** percent. That has to do with a broader trend of a slowing global housing market.

Key information about House Prices Growth

• Taiwan house prices grew 12.5% YoY in Sep 2024, following an increase of 11.9% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 2002 to Sep 2024, with an average growth rate of 7.3%.
• House price data reached an all-time high of 20.9% in Mar 2010 and a record low of -6.0% in Mar 2016.

Key information about House Prices Growth

• Canada house prices grew 0.1% YoY in Jan 2025, following an increase of 0.1% YoY in the previous month.
• YoY growth data is updated monthly, available from Jan 1982 to Jan 2025, with an average growth rate of 1.8%.
• House price data reached an all-time high of 16.5% in Mar 1989 and a record low of -9.7% in Apr 1991.

In 2024, Turkey had the highest inflation-adjusted house price index out of the ** European countries under observation, making it the country where house prices have increased the most since 2010. In Turkey, the house price index exceeded *** index points in the fourth quarter of 2024, showing an increase in real terms of *** percent since 2010, the baseline year for the index. Iceland and Estonia completed the top three, with an index value of *** and *** index points. In the past year, however, many European countries saw house prices decline in real terms. Where can I find other metrics on different housing markets in Europe? To assess the valuation in different housing markets, one can compare the house-price-to-income ratios of different countries worldwide. These ratios are calculated by dividing nominal house prices by nominal disposable income per head. There are also ratios that look at how residential property prices relate to domestic rents, such as the house-price-to-rent ratio for the United Kingdom. Unfortunately, these numbers are not available in a European overview. An overview of the price per square meter of an apartment in the EU-28 countries is available, however. One region, different markets An important trait of the European housing market is that there is not one market, but multiple. Property policy in Europe lies with the domestic governments, not with the European Union. This leads to significant differences between European countries, which shows in, for example, the homeownership rate (the share of owner-occupied dwellings of all homes). These differences also lead to another problem: the availability of data. Non-Europeans might be surprised to see that house price statistics vary in depth, as every country has their own methodology and no European body exists that tracks this data for the whole continent.

This dataset provides values for AVERAGE HOUSE PRICES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

New housing price index (NHPI). Monthly data are available from January 1981. The table presents data for the most recent reference period and the last four periods. The base period for the index is (201612=100).

Housing Index in Malta increased to 169.09 points in the first quarter of 2025 from 166.62 points in the fourth quarter of 2024. This dataset provides - Malta House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Key information about House Prices Growth

• Thailand house prices grew 8.5% YoY in Sep 2021, following an increase of 4.9% YoY in the previous month.
• YoY growth data is updated monthly, available from Mar 2009 to Sep 2021, with an average growth rate of 5.7%.
• House price data reached an all-time high of 20.2% in Dec 2009 and a record low of -6.1% in Dec 2020.

Graph and download economic data for All-Transactions House Price Index for Idaho (IDSTHPI) from Q1 1975 to Q1 2025 about ID, appraisers, HPI, housing, price index, indexes, price, and USA.

Housing Index in Norway decreased to 357.91 points in June from 359.10 points in May of 2025. This dataset provides the latest reported value for - Norway House Price Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Housing Index In the Euro Area increased to 150.39 points in the first quarter of 2025 from 148.47 points in the fourth quarter of 2024. This dataset provides the latest reported value for - Euro Area House Price Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Key information about House Prices Growth

• Morocco house prices grew 0.8% YoY in Dec 2024, following a decrease of 0.4% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 2007 to Dec 2024, with an average growth rate of 0.3%.
• House price data reached an all-time high of 7.6% in Mar 2017 and a record low of -6.0% in Dec 2021.

The Halifax house price index, which was set at 100 in 1992, reached a value of more than 500 over the course of 2022. In December 2023, the index stood at 495.1, which was as slight increase from the same period in 2022. The average house price amounted to about 287,000 British pounds in December 2023. What drives house prices? Average house prices are affected by several factors: Economic growth, unemployment, interest rates and mortgage availability can all affect average prices. A shortage of supply means that the need for housing and, therefore competitive market created will push up house prices, whereas an excess of housing means prices fall to stimulate buyers. One of the main reasons for the decrease in house prices in the second half of 2022 was interest rates rising as a response to inflation. How many house sales occur per year? In the United Kingdom (UK), there are approximately one million residential property transactions annually. On a country level, England constitutes the majority of transactions made.

Housing Index in Puerto Rico increased to 245.52 points in the first quarter of 2025 from 229.51 points in the fourth quarter of 2024. This dataset provides - Puerto Rico House Price Index- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Analysis of ‘Jiffs house price prediction dataset’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/elakiricoder/jiffs-house-price-prediction-dataset on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Context

I have previously shared a classification based dataset to classify the gender which is liked by those who are new to machine learning as it give a pretty good accuracy, which encouraged me to create a regression dataset to predict continues values. I have tried many real world datasets for regression problems which are predicting with lower accuracy and high error rate. As a beginner, I have struggled and worried why and how the dataset performs poorly. This is another main reason why I created this dataset. Although this is a made up dataset, I have considered all the features when deciding the price of the property. If you are a beginner, you would love to try this as the results are stunning..

Content

Since this is a populated data, I will straightaway explain the features and the label. FEATURES 1. land_size_sqm - This the total size of the land in square meters. 2. house_size_sqm - This is the area in which house is located within the land. This is measured in square meters. 3. no_of_rooms - This indicates the number of rooms available in the house. 4. no_of_bathrooms - This shows the number of total bathrooms made in the house. 5. large_living_room - This indicates whether the house includes a larger living room or not. The assumption is that all the houses contain a living room. This feature attempts to classify whether it's large or small where '1' means large and '0' means small. However in the categorical dataset, 1 and 0 are represented with 'yes' and 'No' respectively. 6. parking_space - This indicates whether there is a parking space or not. '1' represents the parking available while '0' represents no parking space available. However in the categorical dataset, 1 and 0 are represented with 'yes' and 'No' respectively. 7. front_garden - This shows whether there is a garden available in front of the house. '1' means the garden available and '0' means no garden available. However in the categorical dataset, 1 and 0 are represented with 'yes' and 'No' respectively. 8. swimming_pool - This shows the availability of the swimming pool at the house. 1 represents the availability of the swimming pool while 0 represents the non availability of the same. However in the categorical dataset, 1 and 0 are represented with 'yes' and 'No' respectively. 9. distance_to_school_km - This shows the distance from the house to the nearest school in Kilometers. 10. wall_fence - This shows whether there is a wall fence or not. '1' mean there is wall fence and '0' means no wall fence. However in the categorical dataset, 1 and 0 are represented with 'yes' and 'No' respectively. 11. **house_age_or_renovated **- This is either the age of the house in years or the period from the date of renovation. 12. water_front - this indicates whether the house is located in front of the water or not. 1 means waterfront and 0 means its not located near the water. However in the categorical dataset, 1 and 0 are represented with 'yes' and 'No' respectively. 13. distance_to_supermarket_km - what is the distance to the nearest supermarket in kilometers.

LABEL property_value - This is the price of the property

Following features are only available in the "house price dataset original v2 cleaned" and "house price dataset original v2 with categorical features" data only. 14. crime_rate - its in float and falls between 0 and 7. lesser the better 15. room_size - As the name suggests, it explains the size of the room. 0 is being 'small', 1 is being 'medium', 2 is 'large' and 3 is being 'Extra large'. However in the categorical dataset, these values are categorical and self explanatory.

Acknowledgements

I spent around 3 hours creating this dataset. Enjoy..

Inspiration

Share your notebooks to see which algorithm predicts the house price precisely.

--- Original source retains full ownership of the source dataset ---