In 2024, Sydney had the highest price per square meter of land across major cities in Australia. Lot buyers expected to pay a premium of ***** Australian dollars per square meter in the capital of New South Wales. Conversely, lot buyers in Adelaide expected to spend around *** Australian dollars per square meter of land. Prices through the roof Over the past decade, the surge in land and housing costs has been attributed to rapid population growth, driving up median prices for property and land, particularly in cities. In Sydney, the per square meter price of land has almost tripled since 2010, while the number of new property listings has declined over the years. A shortage of residential land available to build on has exacerbated the housing affordability crisis in Australia. Will lending rates continue to climb? The homeownership dream is out of reach for the average Australian without a housing loan. Nevertheless, Australia's high mortgage interest rates for both owner-occupiers and investors have impacted current and aspiring mortgage holders, with the value of household lending trending downwards over the past two years. While rates remained high in the first half of 2024, they likely reached their peak, as shown by the gradual plateau in the second half of the year. This stabilization should, in turn, accelerate buying, selling, and lending activities.

This repository is the second updated version of the attribute-linked residential property price dataset in UK Data Service ReShare 854240 (https://reshare.ukdataservice.ac.uk/854240/). As with the first updated version (ReShare 855033 https://reshare.ukdataservice.ac.uk/855033/) in 2021, this updated dataset contains individual property transactions and associated variables from both Land Registry Price Paid Dataset (LR PPD) and the Ministry for Housing, Communities and Local Government (MHCLG) Domestic Energy Performance Certificate (EPC) data. This is a linked result by address matching between LR-PPD data (1/1/1995-27/6/2022) and Domestic EPCs data (the twelfth version: ending with 30/6/2022). It is the whole of the 2022 update house price per square metre dataset published in the Greater London Authority (GLA) London Datastore (https://data.london.gov.uk/dataset/house-price-per-square-metre-in-england-and-wales). The linked dataset in this repository is the uncorrected version, recording almost 20 million transactions with 106 variables in England and Wales between 1/1/1995 and 27/6/2022. We have offered technical validation and data cleaning code in UKDA ReShare 854240 to help users to evaluate the representation and to clean up the data. There is no unique way to clean this raw linked dataset, so we suggest users develop their own clean-up process based on their research requirements. In addition, this repository covers the original LR PPD and Domestic EPCs for the linked data (house price per square metre dataset). Similar to the first updated version, a field header has been added in LR PPD. Six variables (individual lodgement identifier, address, address 1, address 2, address 3, postcode) in Domestic EPCs are removed. A newly created unique identifier (id) is added in Domestic EPCs, this id is newly created for Version 12 Domestic EPCs. It is not the same id as in the Domestic EPCs from UK Data Service ReShare 854240 and ReShare 855033. Since November 2021 DLUCH has published Domestic EPCs with the Unique Property Reference Number (UPRN) hence the dataset in this repository contains the UPRN information from the Domestic EPCs.

This house price per square metre dataset was created on 1/4/2021 and is based on the LR PPD, Domestic EPCs and NSPL downloaded on the same day. It covers over 18 million transactions with 104 variables in England and Wales between 1/1/1995 and 26/2/2021. 16 of the 104 variables come from the LR PPD, 84 variables come from Domestic EPCs, one variable (lad21cd) from NSPL and three variables (i.e.id, classt, priceper) are created by the first author. Before the data linkage, a unique identifier (id) is created for all the unique EPCs after removing the individual lodgement identifier (i.e. LMK_KEY variable). During the data linkage, a variable named classt is created to identify 1:1 and 1:n linkage relationships. After the data linkage, a derived house price per square metre variable (i.e. priceper) is obtained through dividing the transaction price paid in the LR PPD with the total floor area variable in the EPC dataset. The NSPL (May 2021 version) is used to assign the local authority unit (lad21cd) to the house price per square metre dataset. During the data linkage process, the transactions in the LR PPD assigned as category B (Additional Price Paid entry) and other property types are removed. This version of the dataset unlike the previous version can be described as ‘uncorrected’ as we have not removed transactions with any improbable price per square metre values (e.g. total floor area values are null, 0). This uncorrected version of the data will offer the most flexibility for researchers. Researchers are recommended to clean the uncorrected version according to their research need.

This repository covers an updated but uncorrected version of the attribute-linked residential property price dataset in UK Data Service ReShare 854240 (https://reshare.ukdataservice.ac.uk/854240/). It is also the entire uncorrected version of the open access (limited attribute) house price per square metre dataset published by local authority in the Greater London Authority (GLA) London Datastore (https://data.london.gov.uk/dataset/house-price-per-square-metre-in-england-and-wales). This linked dataset contains individual property transactions and associated variables from the Land Registry Price Paid Dataset (LR PPD) linked at address level to all attributes, other than the individual lodgement identifier, address and postcode attributes, contained in Version VI of the Domestic Energy Performance Certificate (EPC) data published by the Ministry for Housing, Communities and Local Government (MHCLG). The linked data in this repository is the uncorrected version, recording over 18 million transactions with 104 variables in England and Wales between 1/1/1995 and 26/2/2021. We have offered technical validation and data cleaning code in UKDA ReShare 854240 to help users evaluate the representation of the linked data for a given time period. The data cleaning code shows our methods for cleaning up unlikely floor size records before using this data in analysis. Users can create their own rules and undertake this clean-up process based on their own experience and research aims. This repository also covers the original LR PPD and Domestic EPCs for the linked data (house price per square metre dataset). The LR PPD in this repository has been added in the field header in the open access LR PPD. Domestic EPCs in this repository has had removed the six variables (individual lodgement identifier, address, address 1, address 2, address 3, postcode) with a newly created unique identifier (id). This id column is newly created for Version VI Domestic EPCs, which is not the same id as in the Domestic EPCs from UK Data Service ReShare 854240.

In 2024, one square meter of greenfield land cost an average of *** Australian dollars in Perth, Australia. This marked a significant increase from the previous year and a recovery from the five-year decreasing trend in land prices for that region witnessed between 2015 to 2020.

In 2024, one square meter of greenfield land cost an average of 751 Australian dollars in Adelaide, Australia. This marked an increase in green land cost per square meter compared to the previous year.

Helsingin vanhojen asunto-osakehuoneistojen (kerros- ja rivitalot) neliöhinnat (EUR/m2) postinumeroalueittain vuodesta 2000 alkaen. Aineistossa on mukana myös Hitas-asunnot.

Aineiston ylläpito Helsingin kaupungilla on päättynyt. Aineistoa ylläpitää Tilastokeskus: https://www.stat.fi/til/ashi/index.html

In the third quarter of 2019, the most expensive properties in Budapest were found in District I, under the postal code 1014. The second most expensive neighborhood was in District V, where the property price per square meter amounted to 1.04 million forints.