The Residential Property Price Register is produced by the Property Services Regulatory Authority (PSRA) pursuant to section 86 of the Property Services (Regulation) Act 2011. It includes Date of Sale, Price and Address of all residential properties purchased in Ireland since the 1st January 2010, as declared to the Revenue Commissioners for stamp duty purposes. It is important to note that the Register is not intended as a "Property Price Index". Please also note the data available in the resources below only relates to Dublin and is a subset of a much larger register. Any queries relating to the data within the resources should be directed to: info@psr.ie

Context

All residential properties sold in Ireland from 2010 to May 28th 2021 (28/05/21)

Content

• Date of sale (dd/MM/yyyy) | datatime64[ns]
• Address | string
• Postal Code | string
• County | string
• Price (€) | float32
• Not Full Market Price | int8
• VAT Exclusive | int8
• Description of Property | string
• Property Size Description | string

Acknowledgements

Data sourced from publicly available site - https://propertypriceregister.ie - Photo by Blake Wheeler on Unsplash

Inspiration

Granular property sale data in Ireland is openly available but is not easily accessible to the public in a meaningful way this .csv and .pkl file allow easier access and analysis.

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.

Residential property sales to foreign buyers in the United States between 2010 and 2024 peaked in 2017 at a value of *** billion U.S. dollars. Since 2017, the value of property sales to foreign buyers dramatically decreased to pre-2010 values. The dramatic decline in 2021 was due to the economic effect of the coronavirus (COVID-19) pandemic both in the U.S. and globally. By March 2024, property sales to foreign buyers in the United States amounted to ** billion U.S. dollars, the lowest recorded since 2010.

Residential Property Price Register The Register includes information on residential properties purchased in Ireland since the 1st January 2010, as declared to the Revenue Commissioners for stamp duty purposes by the person(s) acquiring the property. The details given for each property includes the Date of Sale, Price and Address of the property.

Actual price registration information for real estate sales cases, including target location (de-identified), area, total price and other information.

HM Land Registry’s Price Paid Data records and tracks property sales in England and Wales as submitted to HM Land Registry for registration. The dataset contains single residential properties sold for value since 1995, and since 2013 includes transfers under power of sale/repossessions, buy-to-lets (where identifiable by Mortgage type) and transfers to non-private individuals. The dataset is subject to certain exclusions. It is available for download as single, monthly or yearly files

Current register of all properties with a licence to be a House in Multiple Occupation in the Oxford City area, including reference, address, occupancy details and start/finish dates for the licence

This series was used to record details of property sales within Council boundaries, presumably to keep information in Council ratebooks up to date. The majority of entries refer to allotments of vacant land purchased for what appears to be the first time.

Entries in this register record the:

- number of the property in the rate book (if one had previously been allocated)
- vendor's name
- purchaser's name and address
- description of the property (descriptions used included "land" and "land & house" with street names included when relevant)
- location of the property (county, parish, section & allotment)
- date of purchase, and
- date of receipt of notice of sale.

This series was used to record details of property sales within Council boundaries, presumably to keep information in Council ratebooks up to date. The majority of entries refer to allotments of vacant land purchased for what appears to be the first time.

Entries in this register record the:

- number of the property in the rate book (if one had previously been allocated)
- vendor's name
- purchaser's name and address
- description of the property (descriptions used included "land" and "land & house" with street names included when relevant)
- location of the property (county, parish, section & allotment)
- date of purchase, and
- date of receipt of notice of sale.

1. Real estate sales cases actual transaction registration information, including property location, area, total price, and other information. 2. This dataset is updated every 10 days. (Linkou District)

1. Real estate presale case actual transaction registration information includes information such as the location, area, and total price of the subject property.2. This dataset is updated every 10 days. (Tamsui District)

Price Paid Data tracks the residential property sales in England and Wales that are lodged with HM Land Registry for registration.

Our price paid data tracks the residential property sales in England and Wales that are lodged with us for registration. The dataset is a reliable source of house price information and consists of more than 24 million definitive records dating back to January 1995. For more information on this dataset and what it does and doesn't include, visit https://www.gov.uk/about-the-price-paid-data

Choose from three options to select the data that best meets your requirements:

• monthly file: contains a single monthly file of the transactions received in the period from the first to the last day of the corresponding month, including any changes or deletions to previously downloaded data. The data is updated monthly and the average size of this file is 11 MB.

• single file: contains all the up to date data from 1995 to the current date. The data is updated monthly and the average size of this file is 2.86 GB.

• yearly files: contains annual files of up to date data, ranging from 1995 to the current date. Unlike the monthly files described above, yearly files are collated on the date of the transaction/deed date rather than the date that the information was lodged with HM Land Registry. The data is updated monthly and the sizes of these files range from 87 MB to 222 MB. If you are having trouble downloading any of the year files in full, they are also available as two smaller, evenly split CSV files.

We try to make sure that our public data is accurate, but cannot guarantee that it is free from errors or fit for your purpose or use. Reports are based on data collected at the time a property transaction is registered with us and will not necessarily be up to date with the most recent information. For more information, read https://www.gov.uk/government/statistical-data-sets/price-paid-data-downloads#when-using-or-publishing-our-price-paid-data

This metadata document provides details of the data used for the dissertation: “Improving Commercial Property Price Statistics”. The study explores data related and methodological challenges in the construction of price statistics for commercial real estate.

Short abstract of the dissertation

Since the financial crisis of 2008, National Statistical Institutes (NSIs) have worked to develop commercial real estate (CRE) indicators for official statistics. These indicators are considered essential in financial stability monitoring and may help contain the consequences of future crises or even prevent future crises. However, progress at NSIs to develop these indicators has been slow due to challenges like low observation numbers and high heterogeneity. This dissertation addresses these challenges by exploring data issues and suggesting methodological improvements.

The first three studies focus on data challenges regarding share deals and portfolio sales. Both are real estate trading constructions that are specific to CRE. The results show that share deals and portfolio sales significantly differ from the rest of the market. Therefore, under specific circumstances, CRE indicators could benefit from including these trading types. The final two studies focus on methodological challenges regarding index construction methods and the role of sustainability in real estate pricing. The results show that, by combining established techniques, it is possible to construct price indices that meet official statistics’ standards. Furthermore, the results uncover a complex relationship between sustainability and prices: while energy efficiency generally involves price premiums, others aspects like health and environment display a discount for low sustainable properties.

Overall, this dissertation contributes to the legislative framework that is currently being developed for EU countries to publish official statistics for commercial real estate and adds to the academic discussion by presenting innovative techniques for data analyses and index construction.

Data sources

The following data sources were used:

1. Bussiness Register (Statistics Netherlands)
2. Transactions linked to the Register of Adresses and Buildings (BAG)
3. Linking table buildings and companies (Dutch Land Registry Office)
4. Property Transfer Tax data (Dutch Tax Authorities)
5. Building sustainability scores (W/E advisors)Commercial real estate transactions (Dutch Land Registry Office)
6. Commercial real estate transactions (Dutch Land Registry Office)

Processing methodology

1. The data is originally stored in an SQL database and is processed with SQL and R code (version 4.2). In the code, the name of the table is tbl_SPE_2_ABR_Bedrijfsinfo. The data is used for deriving company transfers by comparing ownership states of various periods. The first period that an ownership differs of the same company indicates an ownership transfer.
2. The data is originally stored in an SQL database and is processed with SQL and R code (version 4.2). In the code, the name of the table is tbl_SPE_6_ABR_CompleetMicro. The data is used for calcuting the size of real estate share deals and estimating price developments by applying appropriate filters and counting the output.
3. The data is originally stored in an SQL database and is processed with R code (version 4.2). In the code, the name of the table is SPE_KADASTER. The data is used for finding real estate information that corresponds to company transfers by linking the company register (ABR) to the real estate register (BAG).
4. The data is originally stored in an SQL database and is processed with R code (version 4.2). In the code, the name of the table is tbl_SPE_3_OVB_Bedrijfsinfo. The data is used for deriving real estate share deals by linking this table (Kadaster) to the real estate register (BAG).
5. The data is originally stored in an SQL database and is processed with R code (version 4.2). In the code, the name of the table is duurzaamheid_input_regressie2. The data is used for finding the relationship between sustainabilty measures and real estate transaction prices by linking sustainabilty scores from a consultancy (WE) to transaction prices (Cadastre) and running regression analyses.
6. The data is originally stored in an SQL database and is processed with R code (version 4.2). In the code, the name of the table is tbl_OV20_pand. The data is used for 4 purposes (separate studies).

• (1) Chapter 3: Determining the price effect of portfolio sale by running regression analyses
• (2) Chapter 4: Developing methods to include portfolio sales in CPPI calcutions by using auxilary data of the real estate properties.
• (3) Chapter 5: Developing a price index method for small domains by using these data to test the outcomes
• (4) Chapter 6: Determining the relationship between sustatinability by running regression analyses

Data restrictions

As part of the CBS law, sharing micro-data outside of the CBS-environment is prohibited. Furthermore, CBS manages the data, but in some cases other parties are still formal owners of the data. The 2 other parties are The Land Registry Office and WE consultancy. Ownership and intellectual property rights are managed in contracts with both owners. It was agreed upon that the data can only be used for the purpose of the PhD study and that the microdata will never be externally disseminated. The data is still owned by them and the intellectual property rights of the analyses belong to me. An intended use of the microdata should be approved by both Statistics Netherlands and the formal data owner. Because of the above, no data can be publicly shared.

If one intends to do research on these data, an application for data use can be requested at CBS. CBS will charge costs for anonymising the data and providing a closed environment to work with the data. More information on this can be found at: https://www.cbs.nl/en-gb/our-services/customised-services-microdata/microdata-conducting-your-own-research

Contact information

Author: Farley Ishaak

Statistics Netherlands | Henri Faasdreef 312 | P.O. Box 24500 | 2490 HA The Hague

TU Delft | Delft University of Technology | Faculty of Architecture and the Built Environment

Department of Management in the Built Environment | P.O. Box 5043 | 2600 GA Delft

M +31 6 46307974 | ff.ishaak@cbs.nl | f.f.ishaak@tudelft.nl

1. Real estate presale case actual transaction registration information includes information such as location, area, and total price of the subject property.2. This dataset is updated every 10 days. (Luzhou District)

The Register records information regarding property sales within the Shire of Avoca. Information contained in the Register may include:

Rate Number on Rate Book
Vendor Name
Purchaser Name
Purchaser Postal Address
Description of Property
Situation of Property: County, Parish, Section, Allotment, Sub-division
Date of Purchase
Date of Notice

The Register does not always include entires under all of the above headings.

Information on the ownerless property and property that has passed into the ownership of the state transferred for sale through commercial enterprises, with which agreements are concluded for its implementation in accordance with paragraphs 12 and 13 of the resolution of the Cabinet of Ministers of 25 August 1998 1340 "On the Procedure for Accounting, Storage, Assessment of Confisted and other property that passes into the ownership of the state, and its disposal" The update is carried out annually, within three working days from the date of the change

This dataset shows the locations Land and Property in South Derbyshire which has been sold by the district council. This layer should be used in conjunction with the following datasets: "South Derbyshire District Council Land and Property layer" (which shows land and property which is/has been owned by the council) and "South Derbyshire District Council House Sales Dataset".

The median sales price of new homes sold in the United States increased steadily from 1965 to 2022, followed by two years of decline. In 2024, a newly built home cost approximately ******* U.S. dollars. That was a decline from the peak price of 434,500 U.S. dollars in 2022. Prices varied greatly across different regions in the country, with the most expensive housing found in the Northeast region.