Rental yield hotspots

Live market data on the best rental yields, updated 03/04/2026

Postcode Region Average yield Average price Average £/sqft 3yr +/- View data
Reserved for members North West 11.8% £65,000 £130 +29% View data
Reserved for members North East 10.7% £67,000 £70 -45% View data
Reserved for members North East 9.7% £144,000 £218 0% View data
Reserved for members Scotland 9.6% £157,000 £251 +12% View data
Reserved for members Scotland 9.2% £83,000 £143 -21% View data
Reserved for members North East 9.2% £146,000 £260 +26% View data
NG7 East Midlands 9.0% £200,000 £222 -7% View data
LS3 North East 8.8% £178,000 £221 - View data
LS4 North East 8.8% £228,000 £264 +4% View data
NE6 North East 8.8% £179,000 £202 +17% View data
DN31 East Midlands 8.7% £83,000 £89 -13% View data
G52 Scotland 8.7% £123,000 £162 +18% View data
SO17 South East 8.5% £247,000 £302 -5% View data
AB25 Scotland 8.4% £90,000 £152 -15% View data
AB24 Scotland 8.3% £99,000 £139 -7% View data
M14 North West 8.3% £260,000 £274 +8% View data
TS3 North East 8.2% £94,000 £103 +3% View data
G14 Scotland 8.1% £128,000 £216 +12% View data
LS6 North East 8.1% £281,000 £281 +7% View data
NE8 North East 8.1% £132,000 £164 +5% View data
NR5 East of England 8.1% £277,000 £284 -9% View data
PA1 Scotland 8.1% £121,000 £172 +26% View data
G1 Scotland 8.0% £173,000 £259 +7% View data
G67 Scotland 8.0% £114,000 £118 +15% View data
CF43 Wales 7.9% £115,000 £121 +7% View data
SA1 Wales 7.9% £160,000 £175 +9% View data
AB10 Scotland 7.8% £103,000 £159 -14% View data
BS34 South West 7.8% £350,000 £374 +2% View data
KT20 Greater London 7.8% £758,000 £491 -4% View data
NE4 North East 7.7% £157,000 £167 +22% View data
CH41 North West 7.6% £125,000 £143 -4% View data
NG1 East Midlands 7.6% £147,000 £231 -15% View data
S3 East Midlands 7.6% £125,000 £243 -2% View data
BS7 South West 7.5% £419,000 £423 +3% View data
G13 Scotland 7.5% £159,000 £218 +10% View data
G44 Scotland 7.5% £146,000 £236 +9% View data
L20 North West 7.5% £127,000 £135 +17% View data
L5 North West 7.5% £139,000 £145 +7% View data
TR10 South West 7.5% £340,000 £350 +4% View data
TS1 North East 7.5% £89,000 £92 +11% View data
B18 West Midlands 7.4% £182,000 £226 -1% View data
BH9 South West 7.4% £360,000 £362 +2% View data
CF10 Wales 7.4% £190,000 £257 +10% View data
G31 Scotland 7.4% £161,000 £216 +10% View data
G5 Scotland 7.4% £173,000 £215 +17% View data
L2 North West 7.4% £135,000 £230 -38% View data
L4 North West 7.3% £135,000 £131 +18% View data
LE1 East Midlands 7.3% £128,000 £193 -27% View data
BS16 South West 7.2% £368,000 £378 +2% View data
CF24 Wales 7.0% £249,000 £266 +5% View data

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What Are Rental Yield Hotspots?

Rental yield hotspots are the postcode districts across the UK where property investors can achieve the highest returns on their investment through rental income. PropertyData tracks these hotspots in real time using live market data, giving investors an up-to-date view of where the best opportunities lie.

Rather than relying on outdated reports or anecdotal evidence, our yield hotspots table uses current asking prices and rental values to calculate average yields for every postcode district in the country. The result is a continuously updated ranking of the UK's most attractive areas for buy-to-let and HMO investment.

How We Calculate Yield Hotspots

Our yield hotspot rankings are calculated using live market data from across the UK. For each postcode district, we combine current average asking prices with current average rental values to produce a gross rental yield figure.

For long-let yields, the calculation uses standard residential asking prices and monthly rents. For HMO yields, we use 4-bedroom house prices and per-room rental rates to estimate the return from a typical house in multiple occupation.

The data is updated regularly so that the rankings reflect current market conditions rather than historical trends. We also include price per square foot and 3-year price growth data to give a fuller picture of each area's investment potential.

Long-Let vs HMO Yields

PropertyData tracks two types of rental yield hotspots to reflect the two main residential investment strategies:

Both views are available in the table above. Toggle between them to compare which strategy delivers the best returns in each area.

Benefits of Using PropertyData Yield Hotspots

How to Use Yield Hotspots in Your Investment Strategy

The yield hotspots table is a starting point for your research, not the final word. High yields often correlate with lower property prices and potentially higher risk, so it is important to look at the full picture before making investment decisions.

Use the table to identify promising areas, then click through to view detailed local data for each postcode district. Consider factors such as:

PropertyData provides all of these data points through our Local Data and Postcode Data tools, making it straightforward to build a complete picture of any area.

Frequently Asked Questions

What is a good rental yield in the UK?

A good rental yield depends on your investment strategy. Most buy-to-let investors target gross yields of 5% or above. In some parts of the UK, yields above 8% are achievable, though these areas may carry higher risk or require more active management.

How often is the yield hotspots data updated?

The data is updated regularly using live market information. The date of the most recent update is shown at the top of the page.

What is the difference between gross and net yield?

Gross yield is calculated using rental income and property price alone. Net yield deducts costs such as management fees, maintenance, insurance, and void periods. The yields shown in this table are gross yields.

Why are HMO yields higher than long-let yields?

HMOs generate more rental income because each room is let individually, often producing a higher total rent than letting the entire property to a single household. However, HMOs have higher management costs, stricter licensing requirements, and more regulatory obligations.

Can I search for yields in a specific area?

Yes. Use the search bar at the top of the page to enter a postcode and view detailed yield and market data for that specific area.

What does the 3-year growth figure show?

The 3-year growth column shows the percentage change in property prices over the past three years for each postcode district, based on house price index data. This helps you assess whether an area is experiencing price growth alongside strong yields.

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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 2026-02-27, 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 MHCLG.

How do you know the square footage of properties?

We match the Land Registry data to EPC data provided by MHCLG. 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 2026-02-27, 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.

Where does the raw data come from?

Quoting rent data is a proprietary data set based on the 2026 Valuation Office Agency (VOA) rateable values, combined with floor area data from MHCLG, adjusted for current market conditions.

What does "Quoting Rent" mean?

Quoting Rent reflects the estimated headline rent a property would achieve, based on official valuations adjusted for current conditions. This is the "face value" rent before any incentives such as rent-free periods, stepped rents or capital contributions are taken into account.

How is the floor area determined?

Floor areas are derived from MCHLG data. We use NIA (Net Internal Area) for retail, offices and leisure; GIA (Gross Internal Area) for industrial.

How often is the data updated?

The VOA data is based on the 2026 rating list, which is turn is based on 2024 comparables. This will be updated when a newer rating list is available. MCHLG data is updated regularly as new certificates are issued.

How is the raw data processed?

Multiple data sources are matched and reconciled. Properties are grouped by type, and outliers are excluded from averages.

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.

Where does the raw data come from?

This tab combines data from multiple sources. The bedroom distribution comes from property listings on rightmove.co.uk, zoopla.co.uk and onthemarket.com. Internal area and energy scores come from Energy Performance Certificate (EPC) data provided by MHCLG. Property type data comes from the Office for National Statistics Census.

How often is the data updated?

The bedroom distribution from listings is updated in near real-time. The EPC data is updated monthly. The Census data is updated when new census results are released.

What time period does the data cover?

The bedroom distribution is a real-time market snapshot of currently listed properties. The EPC data covers certificates issued since the scheme began. The Census data is from the most recent census.

How is the raw data processed?

For listings data, duplicates from multiple sources are matched and reconciled. Listings with obvious errors are discarded. EPC and Census data is aggregated to the selected area.

Where does the raw data come from?

Tenure type and occupancy data comes from the Office for National Statistics Census.

How often is the data updated?

The data is updated when new census results are released, typically every 10 years.

What time period does the data cover?

The data is from the most recent census.

How is the raw data processed?

Census data is aggregated to the selected area. National averages are provided for comparison.

Where does the raw data come from?

Property listings seen on rightmove.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?

Agent names are normalised across sources. Listings are grouped by agent and ranked by number of live listings.

Where does the raw data come from?

Property listings seen on rightmove.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?

Agent names are normalised across sources. Listings are grouped by agent and ranked by number of live listings.

Total Floor Area (TFA)

Total Floor Area is a measurement defined by MHCLG (Ministry of Housing, Communities and Local Government).

TFA includes all habitable rooms, kitchens, bathrooms, internal corridors, hallways, and built-in storage.

TFA excludes garages, external stores, and unheated conservatories.