Are you looking for extensive housing stock data to target your efforts and resources effectively? Our Home Analytics data service offers a quick and efficient way to gain insight into a particular housing portfolio.
Home Analytics has over 100 variables for every property in Great Britain.
It helps housing providers plan and deliver programmes to improve energy efficiency, alleviate fuel poverty, and move towards net zero.
It also helps businesses identify the most suitable homes for their products and services.
Home Analytics Scotland
If you’re based in Scotland, we offer a separate version of Home Analytics for Scottish Government and local authorities. For more information, see our information and analysis service.
What data is included?
Home Analytics is built from over 15 data sources that have been verified by our expert team.
The data includes:
EPC bands
suitability for renewable technologies
fuel types
property tenure
This is available as a data license in several formats, including CSV, Geodatabase and Power BI.
You’ll also get a stock overview report, which:
Benchmarks housing stock against regional/national trends.
Identifies ‘blind spots’ and gaps in EPC data.
Identifies local opportunities and challenges for home energy upgrades.
How can Home Analytics help your organisation?
You can use it to:
Inform retrofit strategies.
Identify customers who could benefit from green finance.
Assess risk in a lending portfolio.
Target customers with products to make their homes more energy efficient.
Make the most of your Home Analytics data with our Portfolio Energy Assessment Tool
Use our Portfolio Energy Assessment Tool (PEAT) to model and compare the outcomes for different retrofit scenarios based on your Home Analytics data.
PEAT models individual properties, portfolios, and specific areas or neighbourhoods.
Use the results to determine the most effective strategy for your energy efficiency or decarbonisation programme. Outputs can be plotted over time to simulate the impact of achieving targets
The tool uses a Standard Assessment Procedure (SAP) calculation engine to recommend a package of retrofit measures for each home. This can be tailored to your needs.
How can your organisation use our Portfolio Energy Assessment Tool?
Use our standard measures to cost set or use your own.
Take into account scheduled stock investments, such as window or boiler replacements, to optimise resource use.
Get reporting on retrofit costs, bill savings, CO2 reductions and calculated SAP and space heating demand improvements for each property.
See models for several different retrofit scenarios based on your target SAP score, space heating demand and budget.
Who’s using our housing stock data and analysis?
“The PEAT modelling work that Energy Saving Trust completed allowed us to build potential retrofit scenarios for our mortgage book to better understand the UK’s transition to net zero. Detailed outputs from the work allowed us to further analyse what retrofit transition plans might look like for our customers, the measures they may select and the potential associated costs.”Amy BrownHomes sustainability, Lloyds Banking Group
“Energy Saving Trust supported Wakefield Council to produce our Domestic Energy Retrofit Pipeline Study. This high quality and comprehensive three-stage piece of research has provided us with a valuable suite of housing energy stock data and information to inform the development and delivery of our domestic energy retrofit schemes, policy and strategy for years to come.”Mark HootonSenior strategic housing manager, Wakefield Council
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Frequently asked questions
General information
Home Analytics is a housing stock data snapshot tool that provides address-level information on homes in Great Britain. It delivers around 100 data-based characteristics for each address.
Home Analytics provides a robust evidence base to design effective retrofit strategies, target energy efficiency funding, and support net zero planning.
It offers visibility into key housing characteristics, helping your organisation:
Identify where improvements will have the greatest impact.
Reduce financial risk.
Focus on the residents who need support most.
Target your services, campaigns and programmes better.
Understand your property portfolios in unrivalled detail.
The dataset has around 100 variables per property, including:
building type
EPC rating
heating system
tenure
suitability for renewable technologies
It combines data from more than 15 trusted and verified sources to give a comprehensive view of the housing stock, for example:
Ordnance Survey
Office of National Statistics
EPC Register
HM Land Registry
We ensure the whole dataset is refreshed at least annually. Specific datasets are always kept up to date in line with their sources. For example, EPC registers are updated at least quarterly. These regular updates mean your organisation will have access to the most accurate and up-to-date housing data available when you buy Home Analytics.
PEAT is a scenario-modelling consultancy service built on Home Analytics data. It uses Standard Assessment Procedure (SAP) calculation logic to simulate retrofit measures across individual homes or entire portfolios. This lets your organisation compare costs, savings, and emission reductions.
PEAT helps organisations:
model ‘what-if’ retrofit scenarios
estimate capital costs
predict bill savings
forecast CO₂ reductions
It also projects changes to EPC ratings and heating demand, giving evidence-based insights to support investment decisions.
Both Home Analytics and PEAT cover all homes in Great Britain (England, Scotland, Wales).
Any organisation that needs reliable housing data to guide their decarbonisation and retrofit planning would benefit from using Home Analytics and PEAT.
The tools are widely used by:
local authorities
housing associations
government agencies
lenders
energy suppliers
product developers
Organisations that are already benefitting from these services include:
Lloyds Banking Group, which uses Home Analytics and PEAT to model energy improvement actions across its mortgage portfolios.
West Yorkshire Combined Authority, which uses Home Analytics and PEAT to model retrofit scenarios across three West Yorkshire councils.
Eon, which uses Home Analytics to shape its marketing strategy.
Home Analytics and PEAT provide detailed property-level data and carbon modelling. This helps businesses by:
Complying with ESG disclosure frameworks.
Helping to engage with different types of homeowners about decarbonisation.
Demonstrating progress towards net zero commitments.
Yes, both services can support funding applications and policy planning. Local authorities and housing providers use the data from these services to build strong funding bids, for example, for government retrofit schemes. Meanwhile, policymakers use it to design local or regional energy strategies.
Your organisation gains several benefits from these services, including:
Improved targeting of retrofit measures.
Better allocation of resources.
Stronger funding cases.
Reduced carbon emissions.
Robust reporting data for stakeholders and regulators.
Access and licensing
You can get access to both services directly from us at Energy Saving Trust. You can request a demo or buy a licence to use the datasets.
Yes, Home Analytics and PEAT are licenced products. Subscriptions are tailored to your organisation’s size, type, and intended use.
Prices start at £1,500 per order, and depend on:
dataset coverage
delivery format
licence terms
Licences typically run for one year, with renewal options available.
Prices for PEAT start from £5,000. It’s a bespoke consultancy service that will enable you to analyse housing stock data and make informed decisions.
No, PEAT is an upgraded service that requires the core Home Analytics dataset.
Yes. There are no user limits on accessing Home Analytics data, so teams across departments can share access and dashboards securely.
Yes. Home Analytics can deliver data via API or in common formats to integrate with your CRM, GIS, or business intelligence systems.
Features and functionality
Data is available in these formats:
CSV
Geodatabases
Power BI dashboards
You can also use the data in web-map applications with spatial queries and exports.
Yes. You can import data outputs into Power BI, Tableau, GIS platforms, and other business intelligence tools for further analysis.
Yes. Datasets can be filtered or customised to focus on specific geographies, housing types, or project needs.
PEAT enables full scenario modelling of retrofit measures and outcomes. Meanwhile, Home Analytics provides reporting and baseline data.
Security and compliance
All datasets are stored securely, with controlled access, encryption, and strict data governance standards.
Yes. All data is processed and shared in line with GDPR and UK data protection law.
Yes. You can integrate your own datasets securely, with protection in place for sensitive or proprietary information.
Yes. All our systems are subject to regular audits and follow industry best practice for security and data management.
Accuracy and methodology
Home Analytics combines multiple official sources with statistical modelling, spatial analysis, and survey benchmarks. We carry out validation using EPCs, housing surveys, and GIS checks.
Accuracy is high, with benchmarking against national surveys and spot-checks to ensure consistency with official EPC data.
Missing data is filled using derived modelling techniques. Where possible, we infer values based on property type, age, and location.
Yes. We encourage user feedback on anomalies or gaps, which helps us to refine future updates.
Training and support
Yes. We offer training sessions and onboarding to help new users make the most of the datasets.
Yes. We offer ongoing technical support and a dedicated helpdesk for licenced users.
Yes. We provide comprehensive user guides, documentation, and FAQs.
Yes. We offer expert consultancy to help you interpret the data, run scenario modelling, and design retrofit strategies.
Last updated: 24 April 2026
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