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Property data for London

Prices, rents, yields, growth & more in London

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London is a major global city and world cultural capital, with strengths in the arts, commerce, education, entertainment, fashion, finance, healthcare, media, professional services, research and development, tourism, and transportation. A major settlement for 2,000 years, London is the world's largest financial centre and the 5th or 6th richest city in the world.

The property investment capital of the UK, London has a diverse array of housing and communities across a giant urban area. You can find different types of long-let investment property in various areas to suit most budgets, and being the world's most-visited city as measured by international arrivals means there is no shortage of short-let opportunities too. Having the largest concentration of higher education institutes in Europe guarantees that London has an active student property rental market as well.

There are 212 postcode districts with significant property markets in and around London, and here we break down key property data for each.

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AreaAvg yieldAvg price£/sqft5yr +/-Explore data
BR1 3.6% £434,986 £462 +3% Explore data
BR2 3.0% £510,478 £476 +4% Explore data
BR3 3.4% £455,860 £493 +4% Explore data
BR5 3.3% £450,548 £428 +9% Explore data
BR6 3.3% £544,548 £469 +3% Explore data
BR7 3.0% £594,775 £495 +22% Explore data
BR8 - £358,796 £357 +8% Explore data
CR0 3.9% £347,577 £442 +3% Explore data
CR2 3.7% £377,732 £447 +2% Explore data
CR4 3.6% £392,993 £431 +1% Explore data
CR5 3.4% £491,406 £422 +21% Explore data
CR7 3.6% £336,105 £413 +2% Explore data
CR8 3.5% £442,031 £430 +21% Explore data
DA1 4.7% £291,203 £362 +28% Explore data
DA7 - £422,900 £413 +26% Explore data
DA8 4.5% £304,840 £325 +5% Explore data
DA14 - £353,322 £407 +26% Explore data
DA15 3.8% £392,869 £449 +27% Explore data
DA16 3.6% £404,193 £400 +27% Explore data
DA17 4.8% £306,239 £348 +28% Explore data
E1 3.8% £616,095 £844 +4% Explore data
E2 3.2% £615,739 £748 +4% Explore data
E3 3.5% £448,271 £646 +4% Explore data
E4 3.5% £463,159 £473 +5% Explore data
E5 3.8% £484,971 £679 +4% Explore data
E6 5.0% £373,281 £420 +4% Explore data
E7 3.8% £454,709 £466 +7% Explore data
E8 3.4% £637,778 £767 +3% Explore data
E9 3.8% £525,891 £741 +28% Explore data
E10 3.5% £465,600 £541 +6% Explore data
E11 3.4% £458,917 £574 +6% Explore data
E12 4.5% £378,523 £382 +5% Explore data
E13 4.7% £375,651 £435 +26% Explore data
E14 3.6% £602,240 £737 +4% Explore data
E15 4.5% £432,239 £570 +28% Explore data
E16 3.9% £492,284 £591 +2% Explore data
E17 3.5% £470,299 £582 +6% Explore data
E18 3.5% £477,839 £549 +3% Explore data
E20 4.5% £590,074 £642 +4% Explore data
EC1 3.2% £891,819 £1,085 +12% Explore data
EC2 2.8% £1,260,372 £1,225 +8% Explore data
EC4 2.9% £905,750 £1,139 +8% Explore data
EN1 3.6% £442,142 £468 +3% Explore data
EN2 3.1% £516,077 £512 +6% Explore data
EN3 4.6% £350,927 £407 +5% Explore data
EN4 2.3% £754,047 £554 +5% Explore data
EN5 2.6% £621,064 £546 +5% Explore data
EN8 3.8% £358,577 £406 +6% Explore data
HA0 3.5% £460,101 £510 +4% Explore data
HA1 3.8% £418,347 £525 +4% Explore data
HA2 3.4% £468,915 £500 +4% Explore data
HA3 3.5% £459,331 £488 +4% Explore data
HA4 3.2% £506,996 £531 +4% Explore data
HA5 2.9% £604,720 £545 +3% Explore data
HA6 3.2% £585,170 £547 +5% Explore data
HA7 3.3% £608,927 £548 +1% Explore data
HA8 4.0% £475,199 £500 +4% Explore data
HA9 4.0% £464,748 £533 +14% Explore data
IG1 3.9% £374,741 £410 +4% Explore data
IG2 3.9% £415,224 £419 +4% Explore data
IG3 3.0% £477,533 £384 +3% Explore data
IG4 2.2% £604,062 £422 +28% Explore data
IG5 3.3% £509,362 £428 +26% Explore data
IG6 3.8% £462,086 £433 +2% Explore data
IG7 3.4% £553,883 £468 +24% Explore data
IG8 3.0% £559,158 £503 +27% Explore data
IG11 5.6% £285,973 £383 +4% Explore data
KT1 3.7% £518,428 £612 +14% Explore data
KT2 3.3% £609,789 £654 +12% Explore data
KT3 3.6% £593,878 £542 +19% Explore data
KT4 3.2% £504,928 £502 +2% Explore data
KT5 3.5% £492,102 £553 +2% Explore data
KT6 3.7% £462,617 £571 +1% Explore data
KT9 - £397,827 £461 +16% Explore data
N1 3.4% £755,172 £928 +-5% Explore data
N2 2.6% £724,392 £701 +-1% Explore data
N3 2.9% £671,706 £627 +0% Explore data
N4 3.1% £610,348 £761 +0% Explore data
N5 3.2% £656,031 £846 +-0% Explore data
N6 2.3% £867,061 £881 +-4% Explore data
N7 3.8% £537,639 £759 +-2% Explore data
N8 3.1% £551,694 £738 +1% Explore data
N9 3.8% £373,091 £403 +19% Explore data
N10 2.9% £640,390 £722 +1% Explore data
N11 3.4% £513,066 £541 +-2% Explore data
N12 3.8% £504,028 £593 +-4% Explore data
N13 3.0% £506,199 £515 +-1% Explore data
N14 2.6% £690,584 £562 +0% Explore data
N15 3.2% £514,939 £556 +2% Explore data
N16 3.2% £554,556 £764 +0% Explore data
N17 3.9% £418,997 £489 +-2% Explore data
N18 4.0% £361,483 £397 +3% Explore data
N19 3.4% £598,216 £740 +18% Explore data
N20 2.8% £759,541 £585 +14% Explore data
N21 2.9% £568,220 £550 +-2% Explore data
N22 3.4% £490,200 £615 +1% Explore data
NW1 3.0% £883,179 £1,002 +-5% Explore data
NW2 3.1% £556,139 £639 +-3% Explore data
NW3 2.8% £1,043,640 £1,067 +-4% Explore data
NW4 3.6% £519,346 £552 +0% Explore data
NW5 3.3% £665,010 £891 +16% Explore data
NW6 3.0% £709,701 £863 +18% Explore data
NW7 2.7% £695,465 £569 +-1% Explore data
NW8 2.8% £1,340,761 £1,148 +-2% Explore data
NW9 4.2% £427,413 £558 +-2% Explore data
NW10 3.4% £525,095 £607 +-3% Explore data
NW11 2.9% £882,607 £719 +-3% Explore data
RM1 4.0% £362,869 £401 +12% Explore data
RM2 3.1% £490,936 £423 +12% Explore data
RM3 4.5% £355,108 £390 +27% Explore data
RM5 4.0% £389,677 £364 +12% Explore data
RM6 4.5% £350,694 £374 +26% Explore data
RM7 4.3% £352,938 £367 +26% Explore data
RM8 5.3% £320,000 £354 +12% Explore data
RM9 5.2% £317,805 £361 +13% Explore data
RM10 5.3% £319,130 £354 +11% Explore data
RM11 3.0% £513,077 £403 +26% Explore data
RM12 3.5% £423,500 £396 +26% Explore data
RM13 4.5% £366,471 £351 +11% Explore data
SE1 2.9% £906,486 £974 +-3% Explore data
SE2 4.3% £368,814 £384 +3% Explore data
SE3 3.7% £516,134 £595 +21% Explore data
SE4 3.1% £505,094 £587 +22% Explore data
SE5 4.5% £469,753 £659 +-1% Explore data
SE6 3.9% £391,204 £485 +1% Explore data
SE7 4.0% £427,639 £474 +-0% Explore data
SE8 4.2% £458,180 £635 +-3% Explore data
SE9 3.5% £415,917 £427 +-0% Explore data
SE10 3.7% £565,507 £679 +0% Explore data
SE11 3.8% £600,318 £737 +18% Explore data
SE12 3.7% £438,104 £453 +-2% Explore data
SE13 4.0% £403,491 £611 +1% Explore data
SE14 3.9% £415,072 £581 +2% Explore data
SE15 4.1% £485,344 £624 +1% Explore data
SE16 4.1% £516,275 £696 +17% Explore data
SE17 4.2% £578,862 £709 +-0% Explore data
SE18 4.2% £409,058 £466 +1% Explore data
SE19 3.7% £425,635 £527 +2% Explore data
SE20 4.1% £348,970 £511 +-2% Explore data
SE22 3.3% £591,350 £720 +-1% Explore data
SE23 3.6% £459,281 £569 +0% Explore data
SE24 3.5% £594,303 £726 +-2% Explore data
SE25 4.1% £336,037 £450 +1% Explore data
SE26 3.5% £442,536 £539 +-1% Explore data
SE27 3.4% £471,617 £573 +21% Explore data
SE28 5.3% £274,499 £365 +-0% Explore data
SM1 4.1% £356,584 £451 +2% Explore data
SM2 3.9% £350,331 £463 +1% Explore data
SM4 3.8% £413,610 £504 +3% Explore data
SM5 2.9% £429,161 £469 +21% Explore data
SM6 3.8% £362,501 £430 +2% Explore data
SW1 2.2% £1,538,961 £1,383 +-8% Explore data
SW2 4.2% £489,699 £669 +-3% Explore data
SW3 2.2% £1,647,212 £1,769 +-11% Explore data
SW4 3.8% £635,079 £808 +12% Explore data
SW5 2.5% £1,093,279 £1,297 +-9% Explore data
SW6 3.1% £885,320 £976 +-7% Explore data
SW7 1.8% £2,081,929 £1,580 +-14% Explore data
SW8 3.3% £847,696 £919 +-7% Explore data
SW9 4.0% £512,646 £724 +14% Explore data
SW10 2.8% £1,205,259 £1,255 +-5% Explore data
SW11 3.4% £828,769 £874 +-3% Explore data
SW12 3.6% £627,530 £801 +15% Explore data
SW13 3.0% £1,098,276 £883 +-3% Explore data
SW14 3.1% £903,748 £798 +-4% Explore data
SW15 3.3% £663,475 £726 +-6% Explore data
SW16 3.7% £476,239 £564 +-3% Explore data
SW17 3.6% £556,154 £703 +16% Explore data
SW18 3.6% £636,140 £771 +-6% Explore data
SW19 3.3% £580,568 £694 +-6% Explore data
SW20 3.2% £692,326 £660 +-5% Explore data
TN14 3.0% £631,952 £446 +12% Explore data
TN16 3.8% £445,752 £407 +11% Explore data
TW1 3.4% £616,047 £729 +2% Explore data
TW2 3.4% £548,367 £627 +15% Explore data
TW3 3.9% £355,900 £473 +4% Explore data
TW4 3.9% £356,220 £417 +1% Explore data
TW5 3.3% £478,645 £421 +2% Explore data
TW7 3.4% £473,107 £550 +3% Explore data
TW8 4.2% £498,277 £610 +15% Explore data
TW9 3.2% £716,510 £787 +14% Explore data
TW10 3.4% £766,188 £789 +13% Explore data
TW11 2.6% £699,452 £680 +2% Explore data
TW12 3.3% £527,857 £584 +16% Explore data
TW13 3.9% £352,563 £426 +4% Explore data
TW14 4.2% £347,511 £415 +19% Explore data
UB1 3.9% £418,152 £400 +3% Explore data
UB2 4.1% £392,152 £447 +0% Explore data
UB3 3.8% £376,279 £465 +3% Explore data
UB4 4.2% £375,355 £454 +2% Explore data
UB5 4.9% £321,538 £454 +1% Explore data
UB6 4.1% £436,316 £498 +2% Explore data
UB7 4.0% £376,081 £449 +4% Explore data
UB8 4.3% £400,021 £467 +1% Explore data
UB9 2.9% £519,324 £469 +2% Explore data
UB10 3.3% £518,935 £513 +2% Explore data
W1 1.5% £2,401,261 £1,665 +-8% Explore data
W2 2.8% £1,057,096 £1,265 +-6% Explore data
W3 3.6% £547,488 £681 +-7% Explore data
W4 3.2% £739,323 £836 +9% Explore data
W5 3.2% £665,291 £725 +-7% Explore data
W6 3.4% £831,277 £923 +-6% Explore data
W7 3.3% £517,097 £584 +-6% Explore data
W8 2.1% £1,871,368 £1,561 +-7% Explore data
W9 3.0% £840,807 £990 +-9% Explore data
W10 3.2% £782,693 £946 +-7% Explore data
W11 2.7% £1,129,082 £1,391 +-6% Explore data
W12 2.9% £760,124 £802 +-8% Explore data
W13 3.1% £579,287 £680 +-7% Explore data
W14 2.7% £874,941 £996 +5% Explore data
WC1 3.0% £896,416 £1,169 +-7% Explore data
WC2 2.0% £1,662,350 £1,635 +-8% Explore data
Last updated: 2 minutes ago

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Transparent data promise

Where does the raw data come from?

Listings data covering more than 95% of the UK market from portals Zoopla and OnTheMarket with additional data directly from various other agents.

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 or agent's website, 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?

Listings data covering more than 95% of the UK market from portals Zoopla and OnTheMarket with additional data directly from various other agents.

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 or agent's website, 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 2020-05-28, 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 Ministry of Housing, Communities & Local Government.

How do you know the square footage of properties?

We match the Land Registry data to EPC data provided by the MCHLG. 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 2020-05-28, 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?

Listings data covering more than 95% of the UK market from portals Zoopla and OnTheMarket with additional data directly from various other agents.

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 or agent's website, 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?

Listings data covering more than 95% of the UK market from portals Zoopla and OnTheMarket with additional data directly from various other agents.

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 or agent's website, 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?

Listings data covering more than 95% of the UK market from portals Zoopla and OnTheMarket with additional data directly from various other agents and 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 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?

Zoopla Zed-index

How often is the data updated?

The data is updated in near real-time.

What time period does the data cover?

The data shows growth over the last five years.

How is the raw data processed?

No additional processes are applied to this data.

Where does the raw data come from?

Listings data covering more than 95% of the UK market from portals Zoopla and OnTheMarket with additional data directly from various other agents. Property "price paid" data provided by the Land Registry.

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 or agent's website, 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?

Listings data covering more than 95% of the UK market from portals Zoopla and OnTheMarket with additional data directly from various other agents.

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 or agent's website, 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?

The construction cost data is derived from an annual survey carried out by Turner & Townsend.

How often is the data updated?

The data is updated annually when the new cost survey data is released, typically around the middle of the year.

How is the raw data processed?

We select a subset of Turner & Townsend costs to display. 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.