Mansion Tax Explained: Who Pays the £2m Council Surcharge

The Autumn Budget 2025 introduced a High Value Council Tax Surcharge on homes in England worth more than £2m. Most headlines have called it a mansion tax. It directly affects only a small share of the housing stock, but its effects could spread further. A new price threshold tends to change how buyers bid, how sellers set asking prices and how agents market homes close to the line. It may also affect investor sentiment in prime postcodes.

This article covers how the surcharge works, where affected homes are concentrated, how it could affect pricing and what investors, agents and developers can do before it takes effect.

How the surcharge works

The surcharge is an annual charge paid on top of standard council tax. Here are the main points announced so far:

  • It applies to residential properties in England valued at more than £2m, based on 2026 values.
  • It is due to start in April 2028.
  • It is charged as a flat amount in four bands.
  • The amounts will rise with CPI inflation each year from 2029/30.
  • The owner pays the charge, not the occupier. This differs from ordinary council tax, which is usually the tenant's responsibility in a rented home.
  • The Valuation Office Agency (VOA) will carry out a targeted revaluation of higher-value homes to decide which band each one falls into.

The four bands are:

  1. £2m to £2.5m: £2,500 a year
  2. £2.5m to £3.5m: £3,500 a year
  3. £3.5m to £5m: £5,000 a year
  4. £5m and above: £7,500 a year

Some details are still under consultation. These include deferral options and support for asset-rich, income-poor owners, such as long-term residents whose homes have risen sharply in value. The final rules could change how the charge affects some owners, so it is worth following the outcome closely.

Where the affected homes are

Homes above £2m are heavily concentrated in London. The boroughs with the most affected homes are likely to include:

  • Westminster
  • Kensington and Chelsea
  • Camden
  • Hammersmith and Fulham
  • Wandsworth
  • Richmond upon Thames

Outside the capital, the main pockets are in the commuter belt and a few sought-after rural and university areas. These include Surrey (Elmbridge in particular), Buckinghamshire, Hertfordshire, Oxford and parts of the Cotswolds. Across much of the Midlands, the North, Wales-border counties and the South West, sales above £2m are rare. Many local authorities record only a handful each year.

For agents and investors, national totals tell only part of the story. What matters is the share of homes in a given postcode, street or development that sits near or above £2m. A borough may have few affected homes overall but one or two streets where most houses are close to the threshold. You can use our local market data for any town, postcode or drawn area to see price distributions and recent sales, and filter sold price comparables to find homes that sold close to the £2m mark.

Will prices cluster just below £2m?

Stamp duty offers a useful comparison. Sale prices have long bunched just below SDLT band boundaries, because buyers and sellers have a strong reason to agree a price that avoids the next band. Our stamp duty calculator shows how much a small change in price can change the tax bill at those boundaries.

A recurring annual charge could have a similar effect. Homes valued just above £2m may face pressure to sell or to be valued below the line. That could compress prices in the £2m to £2.2m range, as buyers factor years of surcharge payments into their offers. The same effect could appear at £2.5m, £3.5m and £5m, though it is likely to be weaker because the jump in the annual charge is smaller relative to the property price.

Timing matters too. The charge is based on 2026 values, so the sale prices and valuation evidence being set now are likely to shape which band a home falls into. In other words, pricing in 2026 matters more than pricing in 2028. Tracking price per square foot data alongside asking prices and sold prices in target areas can help show whether listings are starting to cluster under £2m.

What it means for each audience

Investors and landlords

Landlords who own rental homes above £2m will pay the surcharge themselves. Unlike standard council tax, they cannot pass it to tenants, so it comes straight off net yield.

Take a £2.2m rental property earning £90,000 a year. That is a gross yield of about 4.09%. A £2,500 surcharge reduces this by about 0.11 percentage points. That may sound small, but prime yields are already thin, and the charge will rise with inflation each year. You can model the impact using our rental yield calculator or build it into a longer-term view with the buy-to-let cash flow calculator.

Properties priced just under the threshold may also become relatively more attractive. They offer similar space and location without the annual charge.

Estate agents

  • Advise sellers near £2m on pricing strategy and timing, especially before the 2026 valuation date.
  • Expect more negotiation, with buyers pointing to the surcharge to justify lower offers.
  • Prepare for more challenges to valuations in affected postcodes, from both buyers and owners.

Developers

  • Review pricing and specification on new prime schemes. Splitting large units, or setting prices below the band thresholds, may improve sales rates.
  • Weigh any softening in demand for large single homes against demand for well-priced units just under £2m. Testing different unit mixes with a GDV calculator can show how much value each option gives up or gains.

Practical checklist

  1. Check estimated values of your existing holdings against the £2m line and each band boundary. An instant data-backed property valuation is a good starting point.
  2. Model the effect of the surcharge on net yield over a 5 to 10 year hold, including inflation increases.
  3. Monitor price clustering and time on market in affected postcodes.
  4. Follow VOA revaluation guidance and the final consultation outcome on deferral and relief.

Conclusion

The mansion tax will apply directly to only a small part of the English housing market. Its effects on pricing behaviour around the thresholds could reach further, particularly in London and the commuter belt. Local data on values, sales and listing trends will help you spot both risks and opportunities before 2028. Explore area-level price data, comparables and yield tools in PropertyData to see how the surcharge could affect your target markets.

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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 2026-08-29, 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 2026-08-29, 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.

Estimated value

This figure is our best estimate of the current value of this property.

It is calculated using the most recent transaction and the most recent internal area figures, combined with local market data and price indices.

Estimate confidence

The confidence level indicates how reliable our estimated value is likely to be for this property.

High

The property has sold recently, so the estimate is based on a known sale price adjusted for current market conditions.

Medium

The property has not sold recently, so the estimate relies more heavily on comparable local data and may be less precise.

Habitable rooms

Habitable rooms include any living room, sitting room, dining room, bedroom, study and similar; and also a non-separated conservatory. A kitchen/diner having a discrete seating area (with space for a table and four chairs) also counts as a habitable room.

A non-separated conservatory adds to the habitable room count if it has an internal quality door between it and the dwelling.

Excluded from the room count are any room used solely as a kitchen, utility room, bathroom, cloakroom, en-suite accommodation and similar and any hallway, stairs or landing; and also any room not having a window.

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