The impact of remote work on suburban property prices: A data-driven analysis

The rise of remote working has caused a remarkable shift in working environments for many people. With no need to go into the office - which is typically in a busy city centre - individuals are looking farther afield for properties due to the removal of commutes. This has caused a knock-on effect on the property market, as there is greater activity around suburban property investment than ever before. So, in this article, we’ll take a closer look at the impact of remote work on suburban property prices.

The Remote Work Revolution and Suburban Migration

The pandemic accelerated a trend that was already nascent: remote work. A 2021 survey by the Office for National Statistics (ONS) revealed that 37% of British employees did some work from home, with a notable preference for continuing this trend.

This permanence in the job market has spurred significant lifestyle changes. As commutes became less relevant, many sought the comfort and space that suburban living provides, away from the cramped living conditions of urban centres.

Data indicates that suburban areas such as Elmbridge in Surrey and Wokingham in Berkshire have seen notable population increases. These locations offer the dual benefits of proximity to major cities like London and the charm of suburban living - attributes that have become particularly desirable.

Property Price Trends in Suburban Areas

The correlation between the rise of remote work and property price increases in suburban areas is quite clear to see. Historical data from the Land Registry shows that since the start of the pandemic, suburban regions have experienced a price surge. For instance, properties in Hertfordshire have seen an average increase of 4.6 % in value over the past two years, outpacing urban areas.

Case studies, such as the town of Harpenden, highlight this trend vividly. Known for its green spaces and excellent schools, Harpenden has become a hotspot for those exiting the capital, leading to an 8.48 % rise in property prices post-2020.

Factors Driving Property Price Growth in the Suburbs

The demand for larger homes with gardens has surged as people spend more time at home. For many people working from home, the ability to create a dedicated office space is a high priority. As a result, there is a significantly higher demand for properties with sufficient space to cover these new needs. Furthermore, improvements in local infrastructure, such as the expansion of fibreoptic internet and enhanced public transport, have made suburban areas more appealing.

Economic factors also play a significant role in this behavioural shift. Low interest rates have made mortgages more affordable, although the threat of inflation could modify this trajectory. As it stands, prospective homebuyers are looking for more property for their money - which is why they are looking towards the suburbs. By assessing local data, it’s easy to see which locations are experiencing significant attention now compared to a few years ago.

Long-Term Implications for the Suburban Property Market

While the suburban property market currently enjoys robust growth, there are concerns about sustainability. Analysts caution that a sharp correction could occur if remote work policies are reversed or if economic conditions worsen. Experts predict that remote working practices are likely here to stay for certain industries and roles. This is largely thanks to the various financial and operational benefits it has already provided.

Nonetheless, the general consensus in the data suggests that the demand for suburban properties will likely remain strong, driven by a persistent desire for more personal space and a better quality of life. As a result, it makes them a viable investment strategy to consider.

Strategic Advice for Property Investors and Homeowners

For investors and homeowners looking to capitalise on this trend, the key is identifying suburbs with growing demand but where prices have not yet peaked. Understanding the risk of potential overvaluation in overheated markets is key for this. Investors should focus on long-term trends rather than speculative short-term gains, aligning their strategies with the broader dynamics of remote work's influence on property demand. A good way to do this is by assessing yield hotspots and tracking valuation over time.

Case Studies and Real-Life Examples

Several suburbs stand out in this analysis. Take, for example, Maidenhead in Berkshire, which has seen property values skyrocket due to its ideal blend of accessibility to London and attractive local amenities. A property valued at £305,000 in 2022 sold for £400,000 in 2024 - highlighting just how influential remote working has been for these suburban communities.

Conclusion

The link between remote work and the rise in suburban property prices is a trend that holds substantial implications for the UK’s real estate market. Staying abreast of market trends and leveraging data-driven insights is essential for making informed investment decisions. As remote work continues to shape living preferences, strategic, well-informed property investments in suburban areas are likely to yield considerable returns, reinforcing the importance of understanding and adapting to this ongoing trend.

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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 2024-09-30, 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 2024-09-30, 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.