A complete guide to property investment in Maryland.
Last updated: 18 September 2025
Maryland sits in East London, where property investors find a mix of strong rental demand and evolving demographics. The area shows a high proportion of private renters and a population skewed towards younger adults, especially those in their twenties and thirties. With a price-to-income ratio of 6.3, affordability might look stretched, but that's par for the course in this part of London. The median price per square foot is £584 per sq ft, and the current median asking sale price for a three-bedroom house is £585,000, making the entry price significant but not out of line with the area’s appeal and connectivity.
Rental yields are healthy, with the average rental yield at 6.8% and the top-performing postcode district offering 6.7%. Liquidity appears reasonable, with properties spending 67 days on the market and a median achieved minus asking price of £0 (the typical achieved discount), suggesting sellers are meeting buyer expectations. Investors should note the relatively low owner-occupation rate and high private rental concentration, which is typical for this corner of London.
Median price per sq ft
£584 / sq ft
Average rental yield
6.8%
Capital growth (1y)
1.7%
Sales in past year
88
* Property stats calculated for last full calendar year (2024).
Live prices in Maryland, East London
* Extreme prices clipped for legibility
Median price
£465,000
25% of properties below...
£350,000
75% of properties below...
£590,000
Most expensive property
£800,000
Live listings
85
Median days on market
67
Looking ahead, Maryland’s fundamentals remain shaped by its high private rental demand and youthful demographic profile. The annualised growth over three years stands at 1.4%, and the capital growth for the past year is 1.7%, both pointing to steady if unspectacular appreciation. While the median asking sale price for a two-bedroom flat is £445,000 and rents are robust, affordability pressures will likely keep homeownership rates low and rental demand high.
The area’s stability should appeal to investors seeking long-term income rather than rapid capital gains. With a limited supply of owner-occupied homes and a rental sector in the 97th percentile, Maryland is likely to remain a renter’s patch for the foreseeable future. Investors should expect modest growth but reliable yields, especially if rental demand holds firm.
Average yield (%)
* 2025 data for YTD
Median price per sq ft (£/sq ft)
* 2025 data for YTD
Investment properties in Maryland, East London
£475,000
1 bedroom flat for sale
Stratosphere Tower, 55 Great Easter...
£370,000
3 bedroom maisonette for sale
Carroll Close | London | E15
Buyers should not expect big bargains — discounts are marginal.
• Median discount: £0
• 1 in 4 properties sell at > £5,000 below asking
• 1 in 10 properties sell at > £19,600 below asking
In percentage terms:
• Median discount of 0.0%
• 25% of properties discounted by > 1.9%
• 10% of properties discounted by > 4.2%
Top postcodes for rental yield and (annualised) capital growth
GeoGlider calculates property investment stats by blending official and proprietary datasets. Here's a quick overview of key sources and how we use them:
HM Land Registry: Property transaction and sold-price records for England & Wales used to calculate historical capital growth, price levels and comparables.
Office for National Statistics (ONS): Demographic and economic indicators for the UK, including Census 2021, supporting area profiling and market context.
Ordnance Survey: Authoritative UK geospatial data powering accurate boundaries, roads and terrain for mapping and spatial analysis.
GeoProp: Our proprietary AI pipeline that processes millions of property listings to extract rich features and live market signals.
Department for Levelling Up, Housing & Communities: Energy Performance Certificate (EPC) scores and property floor areas.
HM Revenue & Customs (HMRC): Household income and employment data to understand local affordability and economic conditions.
Data is updated continuously, matched across sources and rigorously validated.