Internal area lookup

Find the internal area of a property, where available

When it comes to purchasing a home, the value and appeal of a property is often significantly influenced by its size and layout. PropertyData’s Internal Area Lookup tool has innovative features that harnesses the latest Energy Performance Certificates (EPCs). This data helps users with precise property area measurements and give them a better idea about whether it’s a suitable choice for them. This comprehensive guide explores the importance of accurate area calculations, the distinction between EPC floor plans and agent floor plans, and how this tool is revolutionising informed decision-making in the real estate sector.

The Benefits of Accurate Internal Area Measurements

Understanding the internal space available to you in a property is incredibly important if you’re considering making a purchase. It will help guide how you will use the space; help determine its value and much more. That’s why the Internal Area Lookup tool from PropertyData is so useful when purchasing property. It allows you to glean useful insights to help inform and guide your decision-making process. So, let’s delve into the benefits of accurate internal area measurements:

A Reliable Source of Information

The Internal Area Lookup tool stands out for its ability to provide accurate internal area measurements as certified by government-approved energy performance assessors. This is a significant advancement over traditional estate agent measurements, which can sometimes be overstated. The precision offered by this tool aids buyers, sellers, and real estate professionals in making well-informed decisions based on reliable data.

Enhanced Market Transparency

Access to accurate property measurements contributes to greater transparency in the real estate market. Buyers can compare properties more effectively, while sellers can justify their pricing based on verified data. This level of clarity is invaluable in a market where trust and accuracy are paramount.

Distinguishing Between EPC Floor Plans and Agent Floor Plans

Using floor plans of a property is often a useful resource to understand the space inside a property. However, not all floor plans are made equally - with some offering more detailed and reliable data than others. So, let’s take a look at the difference between EPC floor plans and agent floor plans.

EPC Floor Plans: The Standard of Precision

EPC floor plans are created by certified assessors during energy performance evaluations. These floor plans focus on the property's actual physical dimensions and features relevant to energy assessment, ensuring a high degree of accuracy and compliance with governmental standards.

Agent Floor Plans: A Marketing Perspective

In contrast, agent floor plans are often produced for marketing purposes. While they provide a general layout and size, these floorplans can sometimes be less precise, as they aim to present the property in the most attractive light for potential buyers. This approach can lead to variations in measurements and occasionally overstates the size to enhance the property's perceived value.

The Importance of Differentiation

Understanding the distinction between EPC and agent floor plans is vital for accurate property assessment. EPC floor plans offer a more reliable measurement for legal and valuation purposes, while agent floor plans can be more appealing visually but less accurate in terms of size.

Understanding the Limitations

While the Internal Area Lookup tool offers numerous advantages, it is not without limitations. If a property has undergone extensions or significant alterations since the last EPC assessment, these changes will not be reflected in the current area measurements. Users should be aware of this when evaluating properties that have recently undergone renovations.

Moreover, property valuations and measurements may seem interchangeable because they are closely linked, but that doesn’t paint the whole picture. Looking at the UK property market, it’s clear that a 1-bedroom flat in central London will fetch far more than a 3-bedroom house in Blackpool.

Data Sources and Reliability

The tool utilises data from Energy Performance Certificates, sourced from the Ministry of Housing, Communities & Local Government. This data is gathered by independent, government-approved assessors, ensuring an unbiased and accurate representation of property sizes. The lack of incentive to exaggerate measurements adds an extra layer of reliability to this data.

Regular Updates for Current Insights

To maintain its relevance and accuracy, the Internal Area Lookup database undergoes quarterly updates. This regular refresh ensures that users have access to the most current information available, enhancing the tool's value in real estate analysis and decision-making.

Data Accuracy and Completeness

The data used in the Internal Area Lookup tool is considered highly accurate, stemming from a government database and verified by independent assessors. Properties that have had an EPC since 2010 are included in this database, offering a comprehensive view of the market. This level of completeness and accuracy sets a new standard in property data reliability.

Reporting Inaccuracies

Despite its high accuracy, there might be instances where discrepancies arise. In such cases, users can report any errors or inaccuracies directly to the Ministry of Housing, Communities & Local Government. This feedback mechanism ensures continuous improvement and accuracy of the data provided by the tool.

Make Better Property Decisions With PropertyData

The Internal Area Lookup tool on PropertyData represents a significant advancement in the realm of real estate analytics. By providing accurate, government-verified property measurements, it empowers users with reliable data for informed decision-making. While mindful of its limitations, real estate professionals and property enthusiasts can leverage this tool for a clearer, more transparent view of the property market. As the database continues to evolve and expand, the Internal Area Lookup tool is poised to become an indispensable asset in the property industry.

If you have any questions about using the Area Lookup Tool, or would like to learn how to utilise this revolutionary tool, please get in touch with the team at PropertyData today.


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Transparent data promise

Where does the raw data come from?

Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.

How often is the data updated?

The data is updated in near real-time.

What time period does the data cover?

This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from the portal, they are soon removed from this tab.

How is the raw data processed?

Duplicates from multiple sources are matched and reconciled as far as possible. Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.

What are the statistics used?

Averages shown are the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.

How do you know the square footage of properties?

We use proprietary technology to read the square footage of properties from agent floorplans. Although we cannot determine the square footage for all properties, we can usually get sufficient coverage. Agents are sometimes known to inflate square footage, and this should be borne in mind as a weakness of this data.

How often is the data updated?

The data is updated in near real-time.

What time period does the data cover?

This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from the portal, they are soon removed from this tab.

How is the raw data processed?

Duplicates from multiple sources are matched and reconciled as far as possible. Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.

What are the statistics used?

The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Property "price paid" data provided by the Land Registry.

How often is the data updated?

Once per month when released by the Land Registry, typically towards the end of each calendar month covering up to the end of the previous calendar month.

What time period does the data cover?

You can customise the time period using the filter at the top of the view. The default time period is up to 9 months back from today's date. The latest data covers the period up to 2024-03-01, although some sales that took place before this date may still be added in the coming months.

How is the raw data processed?

No additional processes are applied to this data.

What are the statistics used?

Averages shown are the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Property "price paid" data provided by the Land Registry, and Energy Performance Certificate (EPC) data provided by Department for Levelling Up, Housing & Communities.

How do you know the square footage of properties?

We match the Land Registry data to EPC data provided by the Department for Levelling Up, Housing & Communities. Due to the fact that not all properties sold have had an EPC and vagaries of addressing in the UK, we are not able to determine the square footage of all properties, but we can usually get sufficient coverage.

How often is the data updated?

The private paid data is updated once per month when released by the Land Registry, typically towards the end of each calendar month covering up to the end of the previous calendar month. The energy performance certificate database is updated monthly.

What time period does the data cover?

You can customise the time period using the filter at the top of the view. The default time period is up to 9 months back from today's date. The latest data covers the period up to 2024-03-01, although some sales that took place before this date may still be added in the coming months.

How is the raw data processed?

No additional processes are applied to this data.

What are the statistics used?

The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.

How often is the data updated?

The data is updated in near real-time.

What time period does the data cover?

This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from the portal, they are soon removed from this tab.

How is the raw data processed?

Duplicates from multiple sources are matched and reconciled as far as possible. Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.

What are the statistics used?

The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Room let listings on SpareRoom, the UK's biggest room letting website.

How often is the data updated?

The data is updated in near real-time.

What time period does the data cover?

This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from SpareRoom, they are soon removed from this tab.

How is the raw data processed?

Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.

What are the statistics used?

The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.

How often is the data updated?

The data is updated in near real-time.

What time period does the data cover?

This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from the portal, they are soon removed from this tab.

How is the raw data processed?

Duplicates from multiple sources are matched and reconciled as far as possible. Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded. Yields are calculated by comparing only properties with the same number of bedrooms, e.g. 3-bedroom properties for rent with 3-bedroom properties for sale.

What is the yield calculation used?

The calculation used is (average_weekly_asking_rent * 52 / average_asking_price), expressed as a percentage. It is a top-line gross yield, meaning no expenses are considered.

What are the statistics used?

The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.

How often is the data updated?

The data is updated in near real-time.

What time period does the data cover?

This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from Zoopla, Rightmove or Spareroom, they are soon removed from this tab.

How is the raw data processed?

Duplicates from multiple sources are matched and reconciled as far as possible. Yields are calculated by comparing only properties with the same number of bedrooms, e.g. 3-bedroom properties for rent with 3-bedroom properties for sale. For the SpareRoom data, hypothetical properties consisting of two to six average double rooms with shared bathrooms are used to derived average rent. For all sources, listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.

What is the yield calculation used?

The calculation used is (average_weekly_asking_rent * 52 / average_asking_price), expressed as a percentage. It is a top-line gross yield, meaning no expenses are considered.

What are the statistics used?

The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Property "price paid" data provided by the Land Registry.

How often is the data updated?

Once per month when released by the Land Registry, typically towards the end of each calendar month covering up to the end of the previous calendar month.

Zoopla Zed-index

What time period does the data cover?

The data covers transactions in the last six years

How is the raw data processed?

No additional processes are applied to this data.

What are the statistics used?

The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.

How often is the data updated?

The listings data is updated in near real-time. The Land Registry data is updated once per month when released, typically towards the end of each calendar month covering up to the end of the previous calendar month.

What time period does the data cover?

The price paid data shown goes back to January 2015. The listings data is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from the portal, they are soon removed from this tab.

How is the raw data processed?

Duplicates from multiple sources are matched and reconciled as far as possible. Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.

What are the calculations used?

Average sales per month are for the last 3 finalised months. Turnover is average sales per month divided by total for sale. Inventory is 100 divided by turnover.

Where does the raw data come from?

Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.

How often is the data updated?

The listings data is updated in near real-time. The Land Registry data is updated once per month when released, typically towards the end of each calendar month covering up to the end of the previous calendar month.

What time period does the data cover?

This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from the portal, they are soon removed from this tab.

How is the raw data processed?

Duplicates from multiple sources are matched and reconciled as far as possible. Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.

Where does the raw data come from?

We receive data on the extent and corporate ownership of all land titles in England & Wales from the Land Registry.

How often is the data updated?

The data is updated once per month when released, typically in the first few days of each calendar month.

What time period does the data cover?

This is an ownership snapshot - the data represents ownership as recorded by the Land Registry at the last monthly export.

How is the raw data processed?

No additional processes are applied to this data.

Where does the raw data come from?

We source different expert forecasts Savills, Knight Frank, OBR

How often is the data updated?

The data is updated annually when new forecasts are released, typically towards the beginning of the year.

How is the raw data processed?

We calculate a consensus forecast using a simple mean average.

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