FAQ

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Getting started

Our indices measure the carbon emissions intensity of the 15% least polluting housing stock for carbon dioxide mass equivalent operating emissions per square meter per year (kgCO2e / m2 / year).

Currently this level of performance is broadly thought to represent the threshold for alignment of housing assets with the Paris Climate Agreement. Our indices are a reflection on where the best performance is, a target for other properties to meet.

Until now there has been no clear and precise way of determining how much progress we are making in decarbonising the housing stock, we had no idea if we are on track to become net zero by 2050 or not. This inspired us to create the first index measuring the carbon emissions intensity of the avant-garde, or 15% least polluting housing stock.

For the first time it is possible to monitor our housing stock to ensure that collectively, we are moving at the right speed to achieve decarbonisation.

Climate Benchmark indices and data science tools are helping prepare businesses for mandatory climate-related disclosure standards, and achieve emissions reduction goals.

Until now a thorough understanding of housing emissions meant navigating incomplete and inconsistent data. Climate Benchmark solves this problem using scientific methods, data science and machine learning techniques.

These tools enable businesses to measure the performance of their housing portfolios relative to local housing stock, determine which homes are on track to meet the goals of the Paris Climate Agreement, and provide greater transparency to stakeholders.

The UK will become the first country in the world to make climate-related disclosures fully mandatory across the economy. Our reportable metrics are helping businesses prepare for the introduction of climate-related disclosure standards.

We are a multidisciplinary team with a track record of innovations in data science and predictive modeling applied to real-world problems, as well as deep experience in housing coupled with understanding of the regulatory environment. Examples of our past projects include:

  1. Developing models and simulation systems for complex environments, including housing markets and energy systems
  2. Inventing a major index of home prices for the U.S. housing market
  3. Developing decision support tools for government, modelling the impact of alternative energy sources and policy choices

Our collective experience provides us with unique capabilities to help businesses manage the emissions performance of housing portfolios and prepare for climate-related disclosure standards.

Our team specialises in developing models and simulation systems for complex environments, including housing markets and energy systems. We are developing algorithms that generate emissions and energy consumption forecasts, which will be integrated in our tools shortly.

Our indices and data science tools are live and enable businesses to measure the performance of their housing portfolios relative to local housing stock, determine which homes are on track to meet the goals of the Paris Climate Agreement, and provide greater transparency to stakeholders.

A set of forecasting tools are under development and will project our indices to the current day and for a variable time horizon ahead.

Our longer-term product pipeline includes portfolio optimisation, active climate footprint management and climate-related public policy optimisation tools.

Technical Specs

Our indices and Data Science tools are derived from the Energy Performance of Buildings Data (EPC) published by the Ministry of Housing, Communities & Local Government. This data provides information about a building’s energy features and emissions profile, which are collected by an accredited energy assessor and are entered into a government-approved software to generate the EPC. An EPC is required when a building is constructed, sold or let.

The data is provided under the terms of the UK Government Licensing Framework, including the Open Government Licence v3.0.

We have daily emissions performance and energy consumption data for local areas across England and Wales stretching back to 2008.

The raw data from which our index is derived does not cover all homes in England and Wales because not every home has an Energy Performance Certificate (these are required when a home is constructed, sold or let). Our sample size currently varies from 49.96% to 75.64% for the 350 geographical areas under analysis.

Our technology makes it possible to still draw accurate conclusions even under low data volumes. Our approach exploits the full information contained in the distributions of the EPC data. Analyzing and understanding these patterns with our data science tools enables us to make accurate projections by reducing sensitivity to sample sizes and boosting robustness to statistical noise and data issues due to human errors inherent in the reporting process.

Our indices are currently available for any geographical area in England and Wales, including national, regional and local areas, individually, or in groupings, or at a finer or bespoke level down to postal codes.

Our data science tools are available for listed and unlisted/private portfolios containing homes in any part of England or Wales.

Research is underway toward expanding our indices and tools to other jurisdictions in the UK and globally, as well as integrating further data sources.

Our indices are updated quarterly, and each release reflects data registered since the previous release, except our forecasting tools which will be computed up to that point.

Our forecasting tools are a new metric under development and will project our indices to the current day and for a variable time horizon ahead.

Our products are at present primarily delivered through a dynamic dashboard of emissions and energy metrics, including data visualisations and interactive graphics. We have designed our tools to be a clear and visual way to track what's happening in your portfolio. Our cloud-based platform is ever growing additional capabilities and insightful ways of analysing and visualizing housing emissions data.

Our data series is also available for download over FTP, from AWS Data Exchange, Google Cloud Platform, Snowflake and other leading third-party data hosts.

Portfolio Analytics

There is growing engagement between investors and issuers on environmental, social, and governance (ESG) issues.

Climate Benchmark's portfolio analytics for listed bond portfolios is a database containing information for investors on the climate-related disclosure metrics for a universe of over 80 listed bonds secured by residential housing assets, representing the majority of capital markets instruments issued by UK housing owners.

Information about each listed housing portfolio's climate-impact is updated quarterly using a mix of disclosed and, where gaps are present, modelled data. The data covers hundreds of metrics encompassing energy consumption and greenhouse gas emissions.

Climate Benchmark uses a variety of publically disclosed sources, such as company financial reports (annual reports, financial statements, sustainability reports, regulatory filings), energy and emissions performance data sources (Energy Performance of Buildings Data (EPC)), Regulator of Social Housing datasets, and data published on company websites or other public sources.

Climate Benchmark produces quarterly listed portfolio assessments to align with Energy Performance of Buildings Data (EPC) data. Climate Benchmark’s research process is continuous, so revisions may occur at any point in the year as companies disclose information and further complete our quality checks, engagement, and data verification steps.

A company's listed housing portfolio analytics are available to view via subscription to Climate Benchmark's secure online portal. Companies are invited to respond to Climate Benchmark to verify its data or directly engage in order to provide either refined, additional, or non-public data. Where Climate Benchmark deems any additional data from this process useful, it will quality check the data and integrate them into the analysis.

All company information provided privately to Climate Benchmark will be treated in the same way as information collected from publicly available sources. If privately provided information is incorporated into Climate Benchmark's research on your company's listed portfolios, it will be available to subscribers of Climate Benchmark data services.

For more information about Climate Benchmark's data collection and modelling process, please contact: support@climatebenchmark.com.