Rental Yields – Chart of the top 50 areas in England and Wales
HSBC has released a report showing the average rental yields for the top Buy to Let hotspots of England and Wales based on data from the Office of National Statistics (ONS) and Land Registry.
This information broken down to specific areas is valuable for Landlords looking for future property investments, giving a base line picture of what rental yields and incomes are achievable.
The figures show that in some areas private landlords already own more than 1 in 4 properties of the housing stock with Southampton being the highest yielding area on average.
The Top 50 Buy to Let Hotspots by Rental Yield are:
| Location | Percentage of Rental Housing Stock | Average House Price | Average Rent (Monthly) | Average Rent (Annual) | Rental Yield (gross) |
| Southampton | 23.42% | £138,311 | £901 | £10,812 | 7.82% |
| Blackpool | 24.16% | £75,943 | £494 | £5,928 | 7.81% |
| Kingston upon Hull | 19.02% | £69,519 | £450 | 5400 | 7.77% |
| Manchester | 26.85% | £102,631 | £650 | £7,800 | 7.60% |
| Nottingham | 21.64% | £83,313 | £524 | 6288 | 7.55% |
| Coventry | 19.02% | £104,970 | £624 | 7488 | 7.13% |
| Slough | 23.07% | £171,581 | £975 | £11,700 | 6.82% |
| Oxford | 26.11% | £244,893 | £1,375 | £16,500 | 6.74% |
| Liverpool | 21.75% | £91,012 | £498 | 5976 | 6.57% |
| Portsmouth | 22.28% | £141,971 | £775 | 9300 | 6.55% |
| Cardiff | 20.32% | £140,882 | £750 | 9000 | 6.39% |
| Cambridge | 23.91% | £179,699 | £949 | £11,388 | 6.34% |
| Southwark | 22.22% | £401,405 | £2,058 | 24696 | 6.15% |
| Luton | 21.27% | £127,473 | £650 | 7800 | 6.12% |
| Newham | 32.62% | £229,141 | £1,126 | £13,512 | 5.90% |
| Leicester | 21.28% | £112,226 | £550 | 6600 | 5.88% |
| Bournemouth | 28.21% | £170,493 | £825 | £9,900 | 5.81% |
| Enfield | 21.18% | £261,163 | £1,200 | 14400 | 5.51% |
| Brighton and Hove | 28.04% | £229,622 | £1,049 | £12,588 | 5.48% |
| Brent | 28.82% | £337,723 | £1,517 | £18,204 | 5.39% |
| Forest Heath | 21.80% | £179,699 | £795 | 9540 | 5.31% |
| Torbay | 21.43% | £139,168 | £598 | 7176 | 5.16% |
| Southend-on-Sea | 20.72% | £152,171 | £650 | 7800 | 5.13% |
| Watford | 18.89% | £240,239 | £997 | 11964 | 4.98% |
| Bristol, City of | 22.11% | £169,425 | £695 | 8340 | 4.92% |
| Kingston upon Thames | 21.04% | £333,122 | £1,363 | 16356 | 4.91% |
| Reading | 24.68% | £196,309 | £795 | £9,540 | 4.86% |
| Hounslow | 22.23% | £285,927 | £1,148 | 13776 | 4.82% |
| Wandsworth | 30.02% | £428,987 | £1,694 | £20,328 | 4.74% |
| Lewisham | 22.97% | £283,031 | £1,101 | 13212 | 4.67% |
| Shepway | 20.17% | £181,399 | £695 | 8340 | 4.60% |
| Tower Hamlets | 30.84% | £364,296 | £1,387 | £16,644 | 4.57% |
| Eastbourne | 21.65% | £177,408 | £675 | 8100 | 4.57% |
| Harrow | 20.37% | £306,381 | £1,148 | 13776 | 4.50% |
| Croydon | 19.83% | £254,591 | £949 | 11388 | 4.47% |
| Exeter | 19.56% | £187,680 | £693 | 8316 | 4.43% |
| Isles of Scilly | 20.63% | £180,227 | £654 | 7848 | 4.35% |
| Lincoln | 19.36% | £119,076 | £429 | 5148 | 4.32% |
| Redbridge | 21.63% | £292,459 | £1,049 | 12588 | 4.30% |
| Cheltenham | 20.15% | £170,573 | £598 | 7176 | 4.21% |
| Ipswich | 18.75% | £153,163 | £524 | 6288 | 4.11% |
| Richmond upon Thames | 20.55% | £485,496 | £1,647 | 19764 | 4.07% |
| Westminster | 37.56% | £767,112 | £2,578 | £30,936 | 4.03% |
| Norwich | 20.10% | £179,699 | £598 | 7176 | 3.99% |
| Camden | 30.46% | £646,043 | £2,145 | £25,740 | 3.98% |
| Hastings | 27.19% | £177,408 | £550 | £6,600 | 3.72% |
| Haringey | 30.33% | £372,278 | £1,148 | £13,776 | 3.70% |
| Thanet | 21.96% | £181,399 | £524 | 6288 | 3.47% |
| Hammersmith and Fulham | 30.05% | £593,787 | £1,690 | £20,280 | 3.42% |
| Kensington and Chelsea | 33.97% | £1,090,943 | £3,033 | £36,396 | 3.34% |
Broken down by the top 10 London hotspots:
| Location | Average Property Price | Average Rent (Monthly) | Rental Yield (gross) |
| 1. Southwark | £401,405 | £2,058 | 6.15% |
| 2. Newham | £229,141 | £1,126 | 5.90% |
| 3. Enfield | £261,163 | £1,200 | 5.51% |
| 4. Brent | £337,723 | £1,517 | 5.39% |
| 5. Kingston upon Thames | £333,122 | £1,363 | 4.91% |
| 6. Hounslow | £285,927 | £1,148 | 4.82% |
| 7. Wandsworth | £428,987 | £1,694 | 4.74% |
| 8. Lewisham | £283,031 | £1,101 | 4.67% |
| 9. Tower Hamlets | £364,296 | £1,387 | 4.57% |
| 10. Harrow | £306,381 | £1,148 | 4.50% |
HSBC head of mortgages Peter Dockar said “house prices in the top-yielding locations, while still out of reach among many first time buyers are relatively affordable for landlords investing in property and the demand from young professionals has pushed up rents and driven up the returns. London is often seen as the haven of property investment with many believing the streets are paved with gold. However, while the highest rents in the country are an attractive draw for landlords, high house prices in the capital squeeze yields and limit the returns available. As a result returns can often be far more attractive in other areas so it certainly pays for landlords to do their research.”![]()
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Boris's new London Rental Standard
Member Since January 2014 - Comments: 37
11:33 AM, 29th May 2014, About 12 years ago
It seems to me there’s a few possible ways to produce such data:
ARLA produces its reports quite regularly – but it recognises the limits on the amount of data it has and I think it doesn’t go below regional level. (Presumably RLA/NLA could have a stab at something similar but their house price data for yield calculation might be less accurate than ARLA’s estimates (maybe that’s another thread entirely)
Lenders – most notably Halifax and Nationwide produce their HPI figures, presumably they could produce filtered rental versions, after all they have loads (what do they have about 40-50% of the BTL market between them?) of valuations that give both sale price and estimated rental price.
And reading the top of the original post it says ONS and Land Registry – I would guess the ONS data might be VOA reported rents as they’re quite keen to collect such information as it helps with setting the LHA (presumably it’s used for other things too)
Member Since June 2013 - Comments: 3251 - Articles: 81
11:39 AM, 29th May 2014, About 12 years ago
An excellent reference for the Taxman to see how much Landlords should be roughly getting for each house.
I think if an area has wide range of property prices, Landlords may generally on average pay lesser prices.
Mark, Rent Officers take rents from Landlords & then give the average to the DWP LHA people, so the LHA people can lower us even more.
Member Since January 2011 - Comments: 12216 - Articles: 1411
11:39 AM, 29th May 2014, About 12 years ago
Reply to the comment left by “Vanessa Warwick” at “29/05/2014 – 11:27“:
I totally agree Vanessa, that’s one of the reasons I love bungalows so much.
Baby boomers will all want one eventually and there have been very few built in the last 40 years 🙂
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Member Since January 2011 - Comments: 12216 - Articles: 1411
11:42 AM, 29th May 2014, About 12 years ago
Reply to the comment left by “Mark Alexander” at “29/05/2014 – 11:39“:
PS – bungalows have arguably the best possible growth prospect for the reasons I have quoted above. However, yields are comparatively poor. That doesn’t make them good, bad or even average investments though as it really depends on what you needs and strategies are. Somebody who needs cashflow would rarely consider investing into a bungalow for instance.
.
Member Since September 2013 - Comments: 173 - Articles: 2
12:37 PM, 29th May 2014, About 12 years ago
Whilst I think this is a good peice of work, it’s only half the picture.
The yield on any property investment is comprised of two parts, the rental element and the capital element. How much the capital value of the asset increases, or otherwise, during the term.
It’s important because the investor tends to take the rent as income and the capital appreciation as ‘savings’.
So the sensible investor looks for both elements to be healthy.
So if you buy a property in a depressed area where property prices are not really doing anything you’ll end up with something that is worth the same when you sell it, while everyone else is a bit richer because their asset has appreciated.
Member Since January 2011 - Comments: 12216 - Articles: 1411
12:43 PM, 29th May 2014, About 12 years ago
Reply to the comment left by “John Daley” at “29/05/2014 – 12:37“:
My point entirely John, hence the reference to bungalows.
The OAP’s who tend to want them rarely want to purchase a “project”. They don’t want the hassle.
The trick, therefore, is to buy a tired one cheaply, modernise to add value and either flip it for a quick return or hold it as a long term investment whilst accepting that yield of cost might be OK but that yield on value will be considerably lower that other forms of investment.
As another commenter has mentioned, cashflow is important and capital appreciation is a bonus. Nevertheless, if you buy the right bungalows and don’t go too crazy on gearing up to the max you can have decent cashflow and also better than average prospect for capital appreciation – in my opinion anyway.
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Member Since July 2013 - Comments: 561
1:38 PM, 29th May 2014, About 12 years ago
The table gives a useful bench mark, choose areas from it that are within a 1hr drive of home, then aim to beat the yield is shows.
Member Since July 2013 - Comments: 1434
5:16 PM, 29th May 2014, About 12 years ago
Reply to the comment left by “Vanessa Warwick” at “29/05/2014 – 11:03“:
I’m with you on this one: the figures are of no use whatsoever.
In general I would expect that landlords buy below average priced properties because that is where the demand is (one and two bed places in my case)
I’ve done some rough sums on my properties and I should be at the top of the table, but no Yeovil or Somerset to be seen!
Comments: 226
5:23 PM, 29th May 2014, About 12 years ago
@MdeB Thanks for commenting.
@Mark
I like bungalows too Mark.
Only 300 (on average) are built per year.
Unfortunately, most people like the big plot size and development potential and knock them down! 🙁
Bungalows are a dying breed … but with scarcity comes value …
Comments: 226
6:08 PM, 29th May 2014, About 12 years ago
Just saw this on twitter and thought it a useful illustration of how average averages are! 🙂