This table shows the average purchase price that has been paid in the reporting period for existing own homes purchased by a private individual. The average purchase price of existing own homes may differ from the price index of existing own homes. The average purchase price is no indicator for price developments of owner-occupied residential property. The average purchase price reflects the average price of dwellings sold in a particular period. The fact that de dwellings sold differs from one period to another is not taken into account. The following instance explains which problems are entailed by the continually changing of the quality of the dwellings sold. Suppose in February of a particular year mainly big houses with extensive gardens beautifully situated alongside canals are sold, whereas in March many small terraced houses are sold. In that case the average purchase price in February will be higher than in March but this does not mean that house prices are increased. See note 3 for a link to the article 'Why the average purchase price is not an indicator'.

Data available from: 1995

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 average purchasing prices of existing owner-occupied sold homes can be calculated 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.

Changes as of 17 February 2025: Added average purchase prices of the municipalities for the year 2024.

When will new figures be published? New figures are published approximately one to three months after the period under review.

Quarterly house price data based on a sub-sample of the Regulated Mortgage Survey.

Median price paid for residential property in England and Wales, for all property types by lower layer super output area. Annual data..

Summary statistics for housing transactions by local authority in England and Wales, on an annual basis, updated quarterly using HM Land Registry Price Paid Data. Select values from the Year and Month dimensions for data for a 12-month period ending that month and year (e.g. selecting June and 2018 will return the twelve months to June 2018).

Summary of UK House Price Index (HPI) price statistics covering England, Scotland, Wales and Northern Ireland. Full UK HPI data are available on GOV.UK.

this dataset shows the average price of houses and their year % change for April2011 to April2012. Data is displayed at the Euro region for England and Wales. Dat was sourced from the land registry (http://www.landregistry.gov.uk/public/house-prices-and-sales) and combined with data released under the OS Open data agreement. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2012-06-29 and migrated to Edinburgh DataShare on 2017-02-21.

Housing Index in China decreased by 3.50 percent in May from -4 percent in April of 2025. This dataset provides the latest reported value for - China Newly Built House Prices YoY Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Housing Index in Ireland increased to 192.80 points in April from 192.20 points in March of 2025. This dataset provides the latest reported value for - Ireland Residential Property Prices - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The UK housing market continued to show significant regional variations in 2025, with London maintaining its position as the most expensive city for homebuyers. The average house price in the capital stood at 555,625 British pounds in February, nearly double the national average. However, the market dynamics are shifting, with London experiencing only a modest 1.7 percent annual increase, while other cities like Belfast and Liverpool saw more substantial growth of over nine percent respectively. Affordability challenges and market slowdown Despite the continued price growth in many cities, the UK housing market is facing headwinds. The affordability of mortgage repayments has become the biggest barrier to property purchases, with the majority of the respondents in a recent survey citing it as their main challenge. Moreover, a rising share of Brits have reported affordability as a challenge since 2021, reflecting the impact of rising house prices and higher mortgage rates. The market slowdown is evident in the declining housing transaction volumes, which have plummeted since 2021. European context The stark price differences are mirrored in the broader European context. While London boasts some of the highest property prices among European cities, a comparison of the average transaction price for new homes in different European countries shows a different picture. In 2023, the highest prices were found in Austria, Germany, and France.

Help to Buy Wales is a £170 million shared equity loan scheme designed to support home ownership, stimulate building activity and provide a boost to the housing sector and wider economy. Under the scheme, loans are available to buyers wishing to purchase a new-build property worth up to £300,000. Help to Buy Wales support is available to all home buyers (not just first time buyers) who wish to purchase a new home, but may be constrained in doing so – for example, as a result of deposit requirements – but who could otherwise be expected to repay a mortgage. A shared equity loan of up to a maximum of 20% of the property purchase price is available. In addition, buyers are required to provide a 5% and will then need to secure a mortgage to cover the remaining balance. All builders (of all sizes) are able to register with the scheme and sell properties through the initiative. The data shown here are aggregated from the individual transaction records recorded by Help to Buy Wales Ltd, an extract of which is supplied monthly to Welsh Government.

The dataset shows the compilation of the number of sales by price range, property transfers, mortgages and acts of financial difficulty registered in the Quebec Land Register. The information is for all of Quebec as well as by administrative region. In Quebec, real estate rights are published as a result of registration in the Land Register. It is governed in particular by the Civil Code of Quebec and by the Regulation respecting land registration. As an authentic legal register created by the legislator, the Quebec Land Register is the official, complete and reliable source of data on the real estate market.

Key information about Philippines Gold Production

• Philippines Real Residential Property Price Index was reported at 157.205 2010=100 in Sep 2024.
• This records a decrease from the previous number of 160.843 2010=100 for Jun 2024.
• Philippines Real Residential Property Price Index data is updated quarterly, averaging 143.399 2010=100 from Mar 2008 to Sep 2024, with 67 observations.
• The data reached an all-time high of 178.219 2010=100 in Jun 2020 and a record low of 99.243 2010=100 in Mar 2011.
• Philippines Real Residential Property Price Index data remains active status in CEIC and is reported by Bank for International Settlements.
• The data is categorized under World Trend Plus’s Association: Property Sector – Table RK.BIS.RPPI: Selected Real Residential Property Price Index: 2010=100: Quarterly. [COVID-19-IMPACT]

Global Land Survey 2010 images were acquired from 2008 to 2011 by Landsat 7 ETM+ and Landsat 5 Thematic Mapper (TM).

The U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) collaborated on the creation of the global land datasets using Landsat data from 1972 through 2008. Each of these global datasets was created from the primary Landsat sensor in use at the time: the Multispectral Scanner (MSS) in the 1970s, the Thematic Mapper (TM) in 1990, the Enhanced Thematic Mapper Plus (ETM+) in 2000, and a combination of TM and ETM+, as well as EO-1 ALI data, in 2005.

Taiwan area land office jurisdictional data.......

Data relating to the price of houses sold in the Glasgow Area from the years 1991 - 2013. Field names are explained in the Data Dictionary file. Data is reproduced with the kind permission of Stenico Data Services Ltd. Some elements of the dataset are derived from information produced by Registers of Scotland. To access this and other datasets go to Scottish property information service The House Price Master CSV file contains about 250,000 records, and covers the years 1991 - 2013. Dataset cannot be opened with some popular office spreadsheet packages which are limited to opening files with 65000 or 130000 records. The House Price Master file has been split into a number of CSV files that each represent one individual year of House Sales with corresponding prices for the Glasgow area. Licence: None house-sales-1990-2013.txt - https://dataservices.open.glasgow.gov.uk/Download/Organisation/de0f1bfc-ed16-429a-b03c-6a63a178efb1/Dataset/e2929d6b-bb11-4b4b-a961-5461a0661930/File/b2b286de-c38e-4380-b14c-9a2213d26a3e/Version/027fa1e8-4297-4fec-a3a5-387606b9cbb5

Direct link: Short-Term Rental Eligibility Dataset

DATASET CONTEXT

Boston's ordinance on short-term rentals is designed to incorporate the growth of the home-share industry into the City's work to create affordable housing for all residents. We want to preserve housing for residents while allowing Bostonians to benefit from this new industry. Starting on on January 1, 2019, short-term rentals in Boston will need to register with the City of Boston.

Eligibility for every unit in the City of Boston is dependant on the following six criteria:

• No affordability covenant restrictions
• Compliance with housing laws and codes
• No violations of laws regarding short-term rental use
• Owner occupied
• Two- or three-family dwelling
• Residential use classification

The Short-Term Rental Eligibility Dataset leverages information, wherever possible, about these criteria. For additional details and information about these criteria, please visit https://www.boston.gov/short-term-rentals.

ABOUT THIS DATASET

ATTENTION: The Short-Term Rental Eligibility Dataset is now available for residents and landlords to determine their registration eligibility.

NOTE: These data are refreshed on a nightly basis.

In June 2018, a citywide ordinance established new guidelines and regulations for short-term rentals in Boston. Registration opened January 1, 2019. The Short-Term Rental Eligibility Dataset was created to help residents, landlords, and City officials determine whether a property is eligible to be registered as a short-term rental.

The Short-Term Rental Eligibility Dataset currently joins data from the following datasets:

• Live Street Address Management (SAM) Addresses
• Assessing Online
• Code Enforcement - Building and Property
• Problem Properties
• Income-Restricted Properties
• STR Registration Data

HOW TO DETERMINE ELIGIBILITY FOR SHORT-TERM RENTAL REGISTRATION

1. ** Open** the Short-Term Rental Eligibility Dataset. In the dataset's search bar, enter the address of the property you are seeking to register.

2. Find the row containing the correct address and unit of the property you are seeking. This is the information we have for your unit.

3. Look at the columns marked as “Home-Share Eligible,” “Limited-Share Eligible,” and “Owner-Adjacent Eligible.”

   A “yes” under any of these columns means your unit IS eligible for registration under that short-term rental type. Click here for a description of short-term rental types.

   A “no” under any of these columns means your unit is NOT eligible for registration under that short-term rental type. Click here for a description of short-term rental types.

4. If your unit has a “yes” under “Home-Share Eligible,” “Limited-Share Eligible,” or “Owner-Adjacent Eligible,” you can register your unit here.

WHY IS MY UNIT LISTED AS “NOT ELIGIBLE”?

If you find that your unit is listed as NOT eligible, and you would like to understand more about why, you can use the Short-Term Rental Eligibility Dataset to learn more. The following columns measure each of the six eligibility criteria in the following ways:

1. No affordability covenant restrictions

   • A “yes” in the “Income Restricted” column tells you that the unit is marked as income restricted and is NOT eligible.

The “Income Restricted” column measures whether the unit is subject to an affordability covenant, as reported by the Department of Neighborhood Development and/or the Boston Planning and Development Agency.
For questions about affordability covenants, contact the Department of Neighborhood Development.

1. Compliance with housing laws and codes

   • A “yes” in the “Problem Properties” column tells you that this unit is considered a “Problem Property” by the Problem Properties Task Force and is NOT eligible.

Learn more about how “Problem Properties” are defined here.

* A **“yes”** in the **“Problem Property Owner”** column tells you that the owner of this unit also owns a “Problem Property,” as reported by the Problem Properties Task Force. 

Owners with any properties designated as a Problem Property are NOT eligible.

No unit owned by the owner of a “Problem Property” may register a short-term rental.
Learn more about how “Problem Properties” are defined here.

* The **“Open Violation Count”** column tells you how many open violations the unit has. Units with **any open** violations are NOT eligible. Violations counted include: violations of the sanitary, building, zoning, and fire code; stop work orders; and abatement orders. 

NOTE: Violations written before 1/1/19 that are still open will make a unit NOT eligible until these violations are resolved.
If your unit has an open violation, visit these links to appeal your violation(s) or pay your code violation fine(s).

* The **“Violations in the Last 6 Months”** column tells you how many violations the unit has received in the last six months. Units with **three or more** violations, whether open or closed, are NOT eligible. 

NOTE: Only violations written on or after 1/1/19 will count against this criteria.
If your unit has an open violation, visit these links to appeal your violation(s) or pay your code violation fine(s).

How to comply with housing laws and codes:
Have an open violation? Visit these links to appeal your violation(s) or pay your code violation fine(s).
Have questions about problem properties? Visit Neighborhood Service’s Problem Properties site.
a legal restriction that prohibits the use of the unit as a Short-Term Rental under condominium bylaws.
Units with legal restrictions found upon investigation are NOT eligible.

If the investigation of a complaint against the unit yields restrictions of the nature detailed above, we will mark the unit with a “yes” in this column. Until such complaint-based investigations begin, all units are marked with “no.”
NOTE: Currently no units have a “legally restricted” designation.
Limited-Share
If you are the owner-occupant of a unit and you have not filed for Residential Tax Exemption, you can still register your unit by proving owner-occupancy. It is recommended that you submit proof of residency in your short-term rental registration application to expedite the process of proving owner-occupancy (see “Primary Residence Evidence” section).

* **“Building Owner-Occupied”** measures whether the building has a single owner AND is owner occupied. A “no” in this column indicates that the unit is NOT eligible for an owner-adjacent short-term rental. 

If you believe your building occupancy data is incorrect, please contact the Assessing Department.

1. Two- or three-family dwelling

   • The “Units in Building” column tells you how many units are in the building. Owner-Adjacent units are only allowed in two- to three-family buildings; therefore, four or more units in this column will mark the unit as NOT eligible for an Owner-Adjacent Short-Term Rental.

   • A “no” in the “Building Single Owner” column tells you that the owner of this unit does not own the entire building and is NOT eligible for an Owner-Adjacent Short-Term Rental.

   If you believe your building occupancy data is incorrect, please contact the Assessing Department.
   R4

   If you believe your building occupancy data is incorrect, please contact the Assessing Department.

Visit this site for more information on unit eligibility criteria.

The U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) collaborated on the creation of the global land datasets using Landsat data from 1972 through 2008. NASA and the USGS have again partnered to develop the Global Land Survey 2010 (GLS2010), a new global land data set with core acquisition dates of 2008-2011. This dataset consists of both Landsat TM and ETM+ images that meet quality and cloud cover standards established by the earlier GLS collections. Data acquired in 2011 were used to fill areas of low image quality or excessive cloud cover.