This dataset contains a link to the separate website for Energy Performance of Buildings, England and Wales at https://epc.opendatacommunities.org/

EPC Detect

## Overview

EPC Detect is a dataset for object detection tasks - it contains EPC annotations for 318 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

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.

The release covers certificates lodged between 2008 and Q4, 2015, and breaks the data down for each specified calendar quarter (Q1=Jan-Mar, Q2=Apr-Jun, Q3=Jul-Sep, Q4=Oct-Dec) within each specified calendar year.

The Q4 2015 figures will change in subsequent quarterly publications as the EPB Registers are updated with new EPCs and DECs.

The data are presented as ‘Experimental’ official statistics because they are still subject to evaluation and testing. As ‘work-in-progress', they may not meet rigorous quality standards. They have been released because they have been judged to be of immediate value to interested parties and in order to encourage user feedback.

The release covers certificates lodged between 2008 and Q4, 2015, and breaks the data down for each specified calendar quarter (Q1=Jan-Mar, Q2=Apr-Jun, Q3=Jul-Sep, Q4=Oct-Dec) within each specified calendar year. The Q4 2015 figures will also change in subsequent quarterly publications as the EPB Registers are updated with new EPCs and DECs.

Energy assessor accreditation schemes originally had the choice of lodging the underlying data used to produce domestic EPCs, in addition to the actual PDF document itself. After September 2008, lodging the data became a mandatory requirement. Due to the technical difficulty involved in formatting PDFs into searchable data, the statistics do not include data lodged as a PDF document only.

These statistics cover certificates on the energy efficiency of domestic and non-domestic buildings in England and Wales that have been constructed, sold, or let since 2008, and of larger public authority buildings since 2008. These statistics, therefore, do not cover the entire building stock across England and Wales but should be viewed as part of a wider package of Government’s provision of information on the energy efficiency of buildings.

This data is also available in Table LA1, available for download as an MS Excel Spreadsheet.

More details about regulatory context and data quality can be found here.

Generally speaking, the stakes are people, property, activities, cultural or environmental heritage elements, threatened by a hazard and likely to be affected or damaged by it. The sensitivity of an issue to a hazard is called “vulnerability.”This object class brings together all the issues that have been addressed in the RPP study. An issue is a dated object whose consideration depends on the purpose of the RPP and its vulnerability to the hazards studied. A PPR issue can therefore be considered (or not) depending on the type or types of hazard being addressed. These elements form the basis of knowledge of the land cover necessary for the development of the RPP, in the study area or near it, at the time of the analysis of the issues. The data on the issues represent a photograph (figential and not exhaustive) of the property and of the people exposed to hazards at the time of the development of the risk prevention plan. This data is not updated after approval of the RPP. In practice they are no longer used: the issues are recalculated as necessary with up-to-date data sources.

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.

Generally speaking, the stakes are people, property, activities, cultural or environmental heritage elements, threatened by a hazard and likely to be affected or damaged by it. The sensitivity of an issue to a hazard is called “vulnerability.”This object class brings together all the issues that have been addressed in the RPP study. An issue is a dated object whose consideration depends on the purpose of the RPP and its vulnerability to the hazards studied. A PPR issue can therefore be considered (or not) depending on the type or types of hazard being addressed. These elements form the basis of knowledge of the land cover necessary for the development of the RPP, in the study area or near it, at the time of the analysis of the issues. The data on the issues represent a photograph (figential and not exhaustive) of the property and of the people exposed to hazards at the time of the development of the risk prevention plan. This data is not updated after approval of the RPP. In practice they are no longer used: the issues are recalculated as necessary with up-to-date data sources.

EPC Consulting Market Size, Trends and Insights By Service Type (Consulting, Maintenance, Design & Engineering, Procurement, Construction, Others), By End User Industry (Oil & Gas, Power, Infrastructure, Chemicals, Metals & Mining, Pharmaceuticals, Petrochemicals, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034.

Reports Description

Global EPC Consulting Market was valued at USD 13.05 Billion in 2024 and is expected to reach USD 28.28 Billion by 2033, at a CAGR of 8.97% during the forecast period 2024 – 2033.

EPC consulting involves specialized advisory services for engineering, procurement, and construction projects, optimizing performance and ensuring successful project execution within specified parameters across industries.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=48368

This house price per square metre dataset is created through complex address-based matching between the Land Registry’s Price Paid Data (LR-PPD) and property size information from the Domestic Energy Performance Certificates (EPC) data published by the Department for Levelling Up, Housing and Communities (DLUHC, formerly MHCLG). Details of the data linkage are published in the UCL Open: Environment along with the related linkage code via the UK Data Service ReShare repository.

During this data linkage process, the transactions assigned as category B (Additional Price Paid entry) and other property types are removed. Here we publish our latest limited attribute version of the uncorrected house price per square metre dataset in England and Wales with the LR-PPD data (1/1/1995-26/2/2021) and Domestic EPCs data (the sixth version, up to 20/9/2020) downloaded on 1/4/2021 for non-commercial purpose. This uncorrected version of house price per square metre dataset records over 18 million transactions with 16 variables in England and Wales since 1995. Unlike in our published article, in this uncorrected version we have not removed transactions with any improbable price per square metre values - i.e. where either the transaction price or total floor area values are null, 0 or too low to be realistic. This uncorrected version of the data will offer the most flexibility for researchers.

We offer technical validation and data cleaning code via the UKDA ReShare repository 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 limited attribute version is published by local authority (2021 version). Details of the 16 variables are described in the explanation file. The National Statistics Postcode Lookup NSPL (May 2021 version) is used to assign the local authority unit for your production of area-based statistics. Users can match historical changes in LA boundaries by choosing appropriate aggregations using, for instance ONSPD, and the postcode variable in our dataset.

An extended version of this dataset containing additional variables is available from UK Data Service Reshare service. Users can directly access this full version dataset (tranall_link_01042021.zip) via the following link: https://reshare.ukdataservice.ac.uk/855033/ . Accompanying LR-PPD and EPC data are also supplied through the ReShare service. Users who would like to attach their own additional variables from the LR-PPD data are advised to use the transactionid variable to link to the LR-PPD (LRPPD_01042021.zip). Users who would like to attach additional variables from the EPC data are advised to use the id variable to link to the sixth version Domestic EPCs (epc6_id.zip).

The 2024 update

The 2024 updated version of the house price per square metre dataset extends the data coverage to the end of 2024 ( hpm_la_2024.zip ). This new version is the result of linking LR-PPD data (01/01/1995–31/10/2024) and Domestic EPCs data (up to 31/10/2024), downloaded on 26/12/2024 for non-commercial purposes. It records over 22 million transactions in England and Wales since 1995.

Unlike the previous versions, this updated removes the id variable (created by the authors) and adds the lmk_key variable (originally from the Domestic EPCs dataset). This change was made because the lmk_key serves as a unique identifier with no duplicate records since 2024.

The match rate of the linked data varies over time; therefore, we recommend users carefully choose the time coverage and validate the data coverage using the match rate. Please note that publicly available Domestic EPCs data starts in 2008, resulting in an extremely low match rate for the period between 1995 and 2008.

The National Statistics Postcode Lookup (November 2024 version) is used to assign local authorities (2023 version)

Per i PPRT, il codice ambientale definisce un'unica categoria di zone per le zone (L515-15 e seguenti): aree a rischio. A differenza degli RPP naturali, i PPRT non hanno mai aree soggette a restrizioni che non sono direttamente esposte al rischio.

A seconda del livello di pericolo, ogni area TRPP è soggetta a un regolamento applicabile. I regolamenti PPRT distinguono generalmente due tipi di zone: 1- "zone proibite di costruzione", note come "aree rosse", in cui il livello di pericolo è elevato e la regola generale è il divieto di costruzione; 2- "zone predisposte", note come "zone blu", in cui il livello di pericolo è medio e i progetti sono soggetti a requisiti adeguati al tipo di problema. Le istruzioni contenute nella guida allo sviluppo del PPRT aggiungono una gradazione all'interno delle "zone rosse" e delle "zone blu".

Base dataset: Integrated Multi-satellitE Retrievals for GPM (IMERG) V06 dataset (doi: https://doi.org/10.5067/GPM/IMERG/3B-HH/06) Data format: netCDF Time resolution: daily (365 calendar days) Latitude band: 40°S–40°N Spatial resolution: 0.1°x0.1° (800x3600 points) Content: Parameters (prob, shape, scale) of a fitted Bernoulli-gamma distribution derived from +/-15 days windows around each calendar day of the years 2001–2018. Value: The EPC dataset provides statistical distributions of daily rainfall for the entire global tropics with a high spatial resolution using one of the most accurate satellite-based rainfall estimates. This can be used for a climatological characterization and as a probabilistic reference forecast against which weather forecasts generated with computer or statistical models can be evaluated. Details: Walz et al. (2021, doi: https://doi.org/10.1175/WAF-D-20-0233.1) Reference: The research leading to these results has been accomplished within project C2 "Statistical-dynamical forecasts of tropical rainfall" of the Transregional Collaborative Research Center SFB/TRR 165 Waves to Weather funded by the German Science Foundation (DFG).

För PPRT-enheter definieras i miljölagstiftningen en enda kategori av zoner för zoner (L515–15 och följande punkter): riskområden. Till skillnad från naturliga RPP har PPRT-enheter aldrig begränsat områden som inte är direkt utsatta för risker.

Beroende på risknivån är varje TRPP-område föremål för en verkställbar lösning. I PPRT-förordningarna görs i allmänhet åtskillnad mellan två typer av zoner:

1- Bygga förbjudna områden, så kallade ”röda områden”, där risknivån är hög och den allmänna regeln är förbud mot uppförande.

2 – ”föreskrivna områden”, så kallade blå zoner, där risknivån är genomsnittlig och projekten omfattas av krav som är anpassade till typen av problem.

Instruktionerna i PPRT-utvecklingsguiden lägger till en gradering inom ”röda zoner” och ”blå zoner”.

Per i PPRT, il codice ambientale definisce un'unica categoria di zone per le zone (L515-15 e seguenti): aree a rischio. A differenza degli RPP naturali, i PPRT non hanno mai aree soggette a restrizioni che non sono direttamente esposte al rischio. A seconda del livello di pericolo, ogni area TRPP è soggetta a un regolamento applicabile. I regolamenti PPRT distinguono generalmente tra due tipi di aree: 1- "Aree proibite di costruzione", note come "zone rosse", dove il livello di pericolo è elevato e la regola generale è il divieto di costruzione;2- "aree prescritte", le cosiddette "zone blu", dove il livello di pericolo è medio e i progetti sono soggetti a requisiti adattati al tipo di problema. Le istruzioni della guida allo sviluppo del PPRT aggiungono una gradazione all'interno delle "zone rosse" e delle "zone blu".