Energy Performance Certificates (EPCs):An EPC provides information about how energy efficient a building is, and how the efficiency could be improved. Buildings are rated on a scale from A to G, with A being the most efficient. The EPC also provides:information on measures which could be made to improve the energy efficiency of the buildingan indicative cost for each improvementThe EPC is accompanied by a recommendations report which provides more detailed information about improvement measures. For further support and guidance, please visit the following: Scottish Government's EPC GuidanceStirling Council's Publication Schedule and Data:EPC Registry data is usually published quarterly and as an individual dataset - Stirling will publish a single dataset, updated incrementally with each released quarter, for its respective reporting year. For example, In March 2025, the latest release contains data up to and including Q3 2024 (end of September 2024).Copyright Information:Please ensure any user of this data has read, and complies with, the copyright information attached to each dataset. The Scottish Government has published these data as Environmental Information on the energy performance of buildings in Scotland. Publication is intended to contribute to delivering the Scottish Government’s policies to mitigate the effects of climate change and reduce greenhouse gas emissions and provide data to facilitate improvements in the energy efficiency of buildings through research, improved management, and innovation.Non-Address DataAll data fields other than the address and postcode data (UPRN, ADDRESS1, ADDRESS2, POST_TOWN & POSTCODE) included within this dataset are licensed under the Open Government Licence v3.0Address DataAny use of address data (UPRN, ADDRESS1, ADDRESS2, POST_TOWN & POSTCODE) not specified in Royal Mail’s copyright notice (refer to dataset description and licence) or covered by one of the copyright exceptions will require an appropriate licence. For further information, please visit: OSG | One Scotland Gazetteer.

Energy Performance Data for Non-domestic Buildings:This dataset presents data from every valid non-domestic EPC assessment held by the Scottish EPC Register (SEPCR) from commencement of central lodgement of the current EPC format to the SEPCR in October 2014 to September 2024. The data was extracted from the register on 25 October 2024.The data is published as a single file. Historic records (where a newer assessment of a building is lodged) and records lodged but subsequently marked ‘not for issue’ (usually due to an error in lodged data) are not reported. The data published in this extract is made available as Environmental Information for data analysis and to enable research into energy efficiency issues. The data must not be relied upon to verify if a valid EPC exists for a building, nor as the basis for the provision of energy improvement advice for a building. To check for compliance with regulatory requirements, a search for a valid EPC for a building should be undertaken at the Scottish Energy Performance Certificate Register. Please note that this data is not personal data in its published form. Persons accessing this dataset should be aware that if processing falls within the scope of the United Kingdom General Data Protection Regulation, or The Data Protection Act 2018, they will become a data controller and must comply with the data protection legislation. In line with the Scottish Government's Open Data Strategy, this data is published in a three-star format (data which is made available online, in an open and machine-readable format – see below for copyright information).

Energy Performance Certificates (EPCs):An EPC provides information about how energy efficient a building is, and how the efficiency could be improved. Buildings are rated on a scale from A to G, with A being the most efficient. The EPC also provides:information on measures which could be made to improve the energy efficiency of the buildingan indicative cost for each improvementThe EPC is accompanied by a recommendations report which provides more detailed information about improvement measures. For further support and guidance, please visit the following: Scottish Government's EPC GuidanceStirling Council's Publication Schedule and Data:EPC Registry data is usually published quarterly and as an individual dataset - Stirling will publish a single dataset, updated incrementally with each released quarter, for its respective reporting year. For example, In March 2025, the latest release contains data up to and including Q3 2024 (end of September 2024).Copyright Information:Please ensure any user of this data has read, and complies with, the copyright information attached to each dataset. The Scottish Government has published these data as Environmental Information on the energy performance of buildings in Scotland. Publication is intended to contribute to delivering the Scottish Government’s policies to mitigate the effects of climate change and reduce greenhouse gas emissions and provide data to facilitate improvements in the energy efficiency of buildings through research, improved management, and innovation.Non-Address DataAll data fields other than the address and postcode data (UPRN, ADDRESS1, ADDRESS2, POST_TOWN & POSTCODE) included within this dataset are licensed under the Open Government Licence v3.0Address DataAny use of address data (UPRN, ADDRESS1, ADDRESS2, POST_TOWN & POSTCODE) not specified in Royal Mail’s copyright notice (refer to dataset description and licence) or covered by one of the copyright exceptions will require an appropriate licence. For further information, please visit: OSG | One Scotland Gazetteer.

If you want to give feedback on this dataset, or wish to request it in another form (e.g csv), please fill out this survey here. We are a not-for-profit research organisation keen to see how others use our open models and tools, so all feedback is appreciated! It's a short form that takes 5 minutes to complete.

Important Note: Before downloading this dataset, please read the License and Software Attribution section at the bottom.

This dataset aligns with the work published in Centre for Net Zero's report "Hitting the Target". In this work, we simulate a range of interventions to model the situations in which we believe the UK will meet its 600,000 heat pump installation per year target by 2028. For full modelling assumptions and findings, read our report on our website.

The code for running our simulation is open source here.

This dataset contains over 9 million households that have been address matched between Energy Performance Certificates (EPC) data and Price Paid Data (PPD). The code for our address matching is here. Since these datasets are Open Government License (OGL), this dataset is too. We basically model specific columns from various datasets, as set out in our methodology section in our report, to simplify and clean up this dataset for academic use. License information is also available in the appendix of our report above.

The EPC data loaders can be found here (the data is here) and the rest of the schemas and data download locations can be found here.

Note that this dataset is not regularly maintained or updated. It is correct as of January 2022. The data was curated and tested using dbt via this Github repository and would be simple to rerun on the latest data.

The schema / data dictionary for this data can be found here.

Our recommended way of loading this data is in Python. After downloading all "parts" of the dataset to a folder. You can run:

import pandas as pd


data = pd.read_parquet("path/to/data/folder/")

Licenses and software attribution:

For EPC, PPD and UK House Price Index data:

For the EPC data, we are permitted to republish this providing we mention that all researchers who download this dataset follow these copyright restrictions. We do not explicitly release any Royal Mail address data, instead we use these fields to generate a pseudonymised "address_cluster_id" which reflects a unique combination of the address lines and postcodes, as well as other metadata. When viewing ICO and GDPR guidelines, this still counts as personal data, but we have gone to measures to pseudonymise as much as possible to fulfil our obligations as a data processor. You must read this carefully before downloading the data, and ensure that you are using it for the research purposes as determined by this copyright notice.

Contains HM Land Registry data © Crown copyright and database right 2021. This data is licensed under the Open Government Licence v3.0.

Contains OS data © Crown copyright and database right 2022.

Contains Office for National Statistics data licensed under the Open Government Licence v.3.0.

The OGL v3.0 license states that we are free to:

copy, publish, distribute and transmit the Information;

adapt the Information;

exploit the Information commercially and non-commercially for example, by combining it with other Information, or by including it in your own product or application.

However we must (where we do any of the above):

acknowledge the source of the Information in your product or application by including or linking to any attribution statement specified by the Information Provider(s) and, where possible, provide a link to this licence;

You can see more information here.

For XOServe Off Gas Postcodes:

This dataset has been released openly for all uses here.

For the address matching:

GNU Parallel: O. Tange (2018): GNU Parallel 2018, March 2018, https://doi.org/10.5281/zenodo.1146014

EPC Bands of dwellings in England and Wales, by property type, tenure, property age and whether new or existing.

This repository contains open data and code to replicate the analysis in the manuscript "High-resolution mapping of wood burning appliance hotspots using Energy Performance Certificates: A case study of England and Wales".

To recreate the analysis on your local device, please carry out the following steps:

1. Clone the GitHub repository (available at: https://github.com/UCL-Wellcome-Trust-Air-Pollution/EPC_mapping_project_code) to your local device, or download the codebase from the 'Code.zip' folder and unzip in your project directory. Please ensure you use the directory with the R Project in it as your root directory.

2. Download the 'Data.tar' file and unzip the file in the R Project directory. The data should be in a folder called 'Data' in the root directory. All non-EPC data is provided under the UK Open Government License version 3.0. EPC data is provided under licence from the Department for Levelling Up, Housing and Communities: https://epc.opendatacommunities.org/docs/copyright.

3. Download the main EPC data to your local device and unzip (see below for detailed instructions on how to do this). For Windows users, the 'Scripts' folder of the repository contains a .bat file which can be used to unzip the data. Note that this file requires the user to have installed 7Zip and added 7Zip to the system path. Otherwise, the .tar file can be unzipped manually.

4. In an R terminal, run 'renv::restore()'. This should install all the necessary packages to replicate the analysis. On Linux/MacOS operating systems, there may be errors relating to re-installing specific packages from the renv lockfile. If this happens, install the package manually from source (install.packages("package_name", type = "source"), then run 'renv::snapshot()' and 'renv::restore()' again. Some packages (e.g. "sf") also require additional dependencies to be installed on Linux. Please install these dependencies before running 'renv::restore()'.

5. Once the project library has been successfully loaded, run the 'run.R' file in the 'Scripts' folder of the directory. You may need to change the 'path_data_epc_folders' variable to the path to the unzipped EPC data folders on your local device (see step 3). The full pipeline should now run.

6. Once you have run the pipeline for the first time, you should see a file called 'data_epc_raw.parquet' in the 'Data/raw/epc_data' folder. If you run the pipeline again, you will be prompted that the raw EPC data .parquet file already exists, and you have the option to skip the merging of raw data files.

URL: https://geoscience.data.qld.gov.au/dataset/cr019179

EPC 245, COAL RESOURCE DATA

This repository contains data and codes that support the findings of the study.- PPD-EPC open dataset with the enriched spatial analyses scores and UPRN.- Batch Geocoding Notebook of PPD-EPC dataset with GeoPy - Here API- PyQGIS codes for proximity, terrain, and visibility spatial analyses.- Jupyter Notebook of Machine Learning algorithms for mass property valuation.

URL: https://geoscience.data.qld.gov.au/dataset/cr122446

This report summarizes the activities conducted within EPC 1403 during the term of the tenement up to relinquishment on 28 September 2020. Exploration drilling conducted during 2012 consisted of nine widely spaced rotary air blast exploration boreholes in the western half of the lease drilled to nominal depths of 200m. Two of these, along the western border of the EPC, intersected minor coal seams of the Winton Formation.

URL: https://geoscience.data.qld.gov.au/dataset/cr030607

EPC 509, FINAL REPORT

URL: https://geoscience.data.qld.gov.au/dataset/cr028129

EPC 557, WILPEENA, REPORT ON DRILLING OUTSIDE THE EPC

URL: https://geoscience.data.qld.gov.au/dataset/cr010836

EPC 302, TEXAS, FINAL REPORT

URL: https://geoscience.data.qld.gov.au/dataset/cr007819

EPC 254, FINAL REPORT

URL: https://geoscience.data.qld.gov.au/dataset/cr002465

EPC 42

URL: https://geoscience.data.qld.gov.au/dataset/cr009812

EPC 336, FINAL REPORT

URL: https://geoscience.data.qld.gov.au/dataset/cr006743

EPC 184, FINAL REPORT

URL: https://geoscience.data.qld.gov.au/dataset/cr029747

EPC 616, WILPEENA, ANNUAL/FINAL REPORT

URL: https://geoscience.data.qld.gov.au/dataset/cr030154

EPC 520, DATA PROCESSING AND INTERPRETATION OF SEISMIC DATA RECORDED AT KIANGA, QUEENSLAND

URL: https://geoscience.data.qld.gov.au/dataset/cr032862

EPC 600, ANNUAL/FINAL REPORT