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.

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.

Annual descriptive price statistics for each calendar year 2005 – 2023 for 11 Local Government Districts in Northern Ireland. The statistics include: • Minimum sale price • Lower quartile sale price • Median sale price • Simple Mean sale price • Upper Quartile sale price • Maximum sale price • Number of verified sales Prices are available where at least 30 sales were recorded in the area within the calendar year which could be included in the regression model i.e. the following sales are excluded: • Non Arms-Length sales • sales of properties where the habitable space are less than 30m2 or greater than 1000m2 • sales less than £20,000. Annual median or simple mean prices should not be used to calculate the property price change over time. The quality (where quality refers to the combination of all characteristics of a residential property, both physical and locational) of the properties that are sold may differ from one time period to another. For example, sales in one quarter could be disproportionately skewed towards low-quality properties, therefore producing a biased estimate of average price. The median and simple mean prices are not ‘standardised’ and so the varying mix of properties sold in each quarter could give a false impression of the actual change in prices. In order to calculate the pure property price change over time it is necessary to compare like with like, and this can only be achieved if the ‘characteristics-mix’ of properties traded is standardised. To calculate pure property change over time please use the standardised prices in the NI House Price Index Detailed Statistics file.

Annual house price inflation, simple and mix-adjusted average house prices, by dwelling, type of buyer, number of transactions, mortgage advances, distribution of borrowers' ages/incomes, interest rates, land prices, average valuations, Land Registry data

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.

Average monthly House Prices (£) for Lincolnshire and Districts. The data shows prices for the following House types: All Houses, Detached, Semi-detached, Terraced, and Flat/maisonette. House Prices shown are based on Land Registry methodology. This dataset is updated on a monthly basis for a rolling 12 month period. Historical data is subject to revision. Source: Land Registry, UK House Price Index statistics. Copyright and licensing: Contains HM Land Registry data © Crown copyright and database right [year]. This data is licensed under the Open Government Licence v3.0.

This dataset contains data on all Real Property parcels that have sold since 2013 in Allegheny County, PA.

Before doing any market analysis on property sales, check the sales validation codes. Many property "sales" are not considered a valid representation of the true market value of the property. For example, when multiple lots are together on one deed with one price they are generally coded as invalid ("H") because the sale price for each parcel ID number indicates the total price paid for a group of parcels, not just for one parcel. See the Sales Validation Codes Dictionary for a complete explanation of valid and invalid sale codes.

Sales Transactions Disclaimer: Sales information is provided from the Allegheny County Department of Administrative Services, Real Estate Division. Content and validation codes are subject to change. Please review the Data Dictionary for details on included fields before each use. Property owners are not required by law to record a deed at the time of sale. Consequently the assessment system may not contain a complete sales history for every property and every sale. You may do a deed search at http://www.alleghenycounty.us/re/index.aspx directly for the most updated information. Note: Ordinance 3478-07 prohibits public access to search assessment records by owner name. It was signed by the Chief Executive in 2007.

Median prices for dwellings/townhouses, and apartments by their year of sale for the City of Melbourne.

Dataset

This dataset was created by Semyon Fast

Contents

1. Real estate pre-sale case actual transaction registration information, including the location, area, total price, etc.2. This dataset is updated every 10 days.

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).

Dataset

This dataset was created by Jack Cerullo

Released under MIT

Contents

Motivation

Due to the lack of datasets that contain information about Tunisia, I have decided to start a series of datasets covering various constructive Tunisian data; starting with this house pricing data set. The creation of this dataset is an attempt to provide helpful information on house pricing in Tunisia, covering thousands of online listings provided with a considerably fair amount of information on each listing. A rather interesting aspect of the data is its geographic accuracy, this enables a lot of creative analysis opportunities.

Context

This dataset is the result of scraping "various" house sales websites. It contains more than 8000 observations with 25 attributes (excluding the id attribute). All records correspond to a house, an apartment, or a villa within the country of Tunisia.

All data was scraped in October 2022 and was processed to provide accurate data. It serves as an excellent introduction to implementing machine learning since it requires little to no data cleaning, a considerable size of data, and an understandable list of attributes.

You will find bellow two versions of this dataset one containing rows missing the prices and one with only the rows where the price is available.

Post-scraping Data modification

This dataset includes one feature that was defined by me with the attribute name of distance_to_capital. This extra feature aims to calculate the distance of a house listing to the capital Tunis given that the Latitude and longitude coordinates are, respecitvely 36.806389, 10.181667.

The distance was calculated using the Haversine forumale:

\[ d=2 r \arcsin (\sqrt{\sin ^2(\frac{ \varphi 2- \varphi 1} {2}) + \cos ( \varphi 1 ) \cos (\varphi 2) \sin ^2 ( \frac { \lambda 2 - \lambda 1 } {2} )})) \]

\(\small \rm with:\)\(\small \textrm{d: distance to be calculated.}\) \(\small \textrm{r: the radius of the Earth (6371km).}\) \(\small \varphi 1 \varphi 2: \textrm{the Latitudes of point 1 and point 2, respectively}\)\[\small \lambda 1 \lambda 2: \textrm{the Longitudes of point 1 and point 2, respectively}\]

Content

The columns are as follows, their names are pretty much self-explanatory:

• id: 128-bit universally unique identifier.
• price_tnd: the price of a given listing in Tunisian Dinars.
• price_eur: the price of a given listing in Tunisian Euros. This was converted on 29 October 2022 with a conversion rate of 1 TND equals 0.31 euros.
• location: the neighborhood of a given listing.
• city: the city of a given listing.
• governorate: the governorate of a given listing out of 24 Tunisian governorates.
• area: the area of a giving listing in square meters.
• room: the number of rooms.
• bathroom: the number of bathrooms.
• age: the age of a listing provided in intervals with the value 0 indicating it's new.
• state: the state of a listing provided in 3 different values; 1 indicating it's in a normal state, 2 indicating it requires renovation and 0 indicating it's brand new.
• latt: latitude.
• long: longitude.
• distance_to_capital: the distance between a listing and the capital Tunis.
• garage: boolean, indicating the existence of a garage.
• garden: boolean, indicating the existence of a garden.
• concierge: boolean, indicating the existence of a concierge.
• beach_view: boolean, indicating whether the listing has a beach view or not.
• mountain_view: boolean, indicating whether the listing has a mountain view or not.
• pool: boolean, indicating the existence of a pool.
• concierge: boolean, indicating the existence of a concierge.
• elevator: boolean, indicating the existence of an elevator.
• furnished: boolean, indicating whether the listing is furnished or not.
• equipped_kitech: boolean, indicating whether the listing kitchen is equipped or not.
• central_heating: boolean, indicating whether the listing has central heating or not.
• air_conditionting: boolean, indicating whether the listing has air conditioning or not.

Tenth percentile price paid for new residential property in England and Wales, by property type and administrative geographies. Annual data.

Annual New Property prices by cities from 1969 to 2015 Prior to 1974 the data was based on surveys of existing house sales in Dublin carried out by the Valuation Office on behalf of the D. O. E. Since 1974 the data has been based on information supplied by all lending agencies on the average price of Mortgage financed existing house transactions. Average house prices are derived from data supplied by the Mortgage lending agencies on loans approved by them rather than loans paid. In Comparing house prices figures from one period to another, account should be taken of the fact that changes in the mix of houses (incl apartments) will affect the average figures. Data for 1969/1970 is not available for Cork, Limerick, Galway, Waterford and Other areas The most current data is published on these Sheets. Previously published data may be subject to revision. Any change from the Originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change. National and Other Areas figure changed for 2015 on 27/6/15 as revised data received from Local Authorities Prices includes houses and apartments measured in EUR

This table shows the price development of existing own homes. Aside from the price indices, Statistics Netherlands also publishes figures on the number of sold dwellings, the average purchase price, and the total sum of the purchase prices of the sold dwellings. The House Price Index of existing own homes is based on a complete registration of sales of dwellings by the Dutch Land Registry Office (Kadaster) and the (WOZ) value of all dwellings in the Netherlands. Indices can fluctuate, for example when a limited number of dwellings of a certain type is sold. In such cases we recommend using the long-term figures. The average purchase price of existing own homes may differ from the price index of existing own homes. The change in the average purchase price, however, is not an indicator for price developments of existing own homes.

Data available from: January 1995 till December 2023

Status of the figures: The figures in this table are immediately definitive. The calculation of these figures is based on the number of notary transactions that are registered every month by the Dutch Land Registry Office (Kadaster). A revision of the figures is exceptional and occurs specifically if an error significantly exceeds the acceptable statistical margins. The numbers of existing owner-occupied sold homes can be recalculated by Kadaster at a later date. These figures are usually the same as the publication on Statline, but in some periods they differ. Kadaster calculates the average purchasing prices based on the most recent data. These may have changed since the first publication. Statistics Netherlands uses figures from the first publication in accordance with the revision policy described above.

From reporting month January 2024, the base year of the House Price Index for Existing Dwellings (PBK) will be adjusted from 2015 to 2020. In February 2024, the first figures of this new series will be released. These figures will be available in a new StatLine table. The old series (base year = 2015) can still be consulted via StatLine, but will no longer be updated

Changes as of 11 March 2024: This table has been discontinued. This table is followed by Existing own homes; purchase prices, price indices 2020=100. See paragraph 3.

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.

This series does not include apartment prices. 2015 Figure changed on the 27/6/16 as revised data received from the Local authority Measured in EUR

Graph and download economic data for Real Residential Property Prices for Canada (QCAR628BIS) from Q1 1970 to Q1 2025 about Canada, residential, HPI, housing, real, price index, indexes, and price.

Affordability ratios calculated by dividing house prices for existing dwellings, by gross annual residence-based earnings. Based on the median and lower quartiles of both house prices and earnings in England and Wales.