House prices in RM (Romford)

Price per square metre data and charts to help you understand the housing market in RM - stats were last calculated on 02 July 2026.

Defining postcode area 'RM'

This analysis is limited to properties whose postcode starts with "RM", this is also called the postcode area. There are no official postcode area names so I've just labelled it RM, Romford. It is shown in red on the map below.

Want to change geography?

You can click on the map above to change to a neighbouring area, or you can use the search form below.

Price per square metre

Knowing the average house price in RM is not much use. However, knowing average price per square metre can be quite useful. Price per sqm allows some comparison between properties of different size. We define price per square metre as the sold price divided by the internal area of a property:

£ per sqm = price ÷ internal area

For example in May 2026, 9, Sterry Crescent, Romford, RM10 8QB sold for £465,000. Given the internal area of 101 square metres recorded on the EPC, the price per sqm is £465,000 ÷ 101 sqm = £4,603.

England & Wales have been officially metric since 1965. However house price per square foot is prefered by some estate agents and those of sufficiently advanced age ;-). You can change your prefered units from square meters to square feet for all the graphs and charts on RM and elsewhere. Just visit the My Account page and look for the m2 to ft2 toggle switch. Alternatively just multiply everything by 10, move a decimal place to go from sqm to sqft and you'll be close enough as 1 sqm = 10.76391 sqft.


Distribution of £ per sqm for houses vs flats in RM

Tip: click on the legend labels to show/hide different property types.


The chart above is called a histogram, it helps you see the distribution of house price per sqm in RM To make this chart we put all the sales data into a series of £ per sqm 'buckets' (e.g. £4,686 to £4,887, £4,887 to £5,088, £5,088 to £5,289 etc...) we then count the number of sales with within in each bucket and plot the results. The histogram is based on 4,849 sales that took place in RM in the last 12 months.

Generate a custom histogram like the one above but based on your own criteria.

You can see the spread of prices above. This is because although internal area is a key factor in determining valuation, it is not the only factor. Many factors other than size affect desirability; these factors could be condition, aspect, garden size, negotiating power of the vendor etc.

The spread of prices will give you a feel of the typical range to expect in RM, Romford. Notably, only 25% of properties that sold recently were valued at more than £5,550 sqm. For anything to be valued more than this means it has to be more desireable than the clear majority of RM homes.


Box plot of £ per sqm for RM

Tip: click on the chart to see the values.


The chart above is called a boxplot (or a box-and-whisker plot). Box plots, like histograms, are used to graphically represent the distribution of data, showing the central tendency, spread of the distribution. In the context of £ per square metre property price distributions, box plots represent the variation in property prices within a geographic area e.g. RM. The chart above shows a boxplot for 'RM' broken down by property type (Flats, Semi-detached, Detached and Terraced). Almost everywhere houses command higher prices per square metre than flats, and detached houses most of all.

  • Median: The horizontal line inside the box represents the median (£ per square meter). This is the midpoint of the data, meaning 50% of the prices are below this value, and 50% are above. The middle price per square metre in 'RM' is £4,890.
  • Interquartile Range (IQR): The box spans from the 25th percentile (Q1) to the 75th percentile (Q3). This is the range where the middle 50% of the data lies, giving a good indication of the typical price spread. Of the 4,849 sales in RM half were sold for between £4,280 and £5,550 per square metre.
  • Whiskers: In our case, the whiskers extend from the 9th percentile (at the lower end) to the 91st percentile (at the upper end), This provides a slightly broader view of the distribution by including the middle 82% of records. The whiskers capture most of the variation but exclude extreme outliers caused by data errors in recording sold house prices or internal area.
  • 'n=' is the number of property sales the box is based on.

  • Does £ per sqm vary by property size and type?

    A common question is whether price per sqm varies by property size and type. In other words can we fairly compare the price per sqm between two properties of different sizes? The charts below go some way to answering this question in the context of RM. TLDR; there is some effect, but after you control for property type the effect is less than you might expect.

    The first chart shows the distribution of price per sqm by property size. This shows that as the size of properties increase, there is not a significant corresponding change in £ per sqm. The second chart shows the same distribution split by property type. If you want the functionality to generate bespoke charts get in touch as it is a feature I could add to the subscription service if enough people are interested.

    Density distribution
    Price per square metre distribution by property size
    Density distribution for RM

    Shows the distribution of property prices per square metre in RM.

    Distribution by property type
    Price per square metre distribution by size and property type
    Property types distribution for RM

    Shows the distribution of different property types in RM.

    Property price map for Romford

    Have a look at the interactive price map I created for myself. Use it to explore house prices in 'Romford' all the way down to individual property plots.

    Price trends

    House prices in 'RM' Romford fell -0.0% in the last year, -3.1% after inflation. Whether or not this trend will continue depends on many factors. I cannot tell what house prices will do in the future and don't believe anyone who says they can. However we can plot price trends, I have done this in the chart below for postcode area 'RM' split by property type. You can extrapolate from this based on what you think will happen to wage growth, net migration, interest rates and the level of house building.


    House price index for RM

    Tip: click on the legend items to show/hide different lines


    Download house price index as CSV (premium users only).

    The chart above shows changes in 'RM' property prices over the last 20 years. The index is calculated from the average price paid per sqm for property in RM and is set to 100 in 2004. The chart compares trends for Flats vs Houses in RM. You can see how different they are. Keep this in mind when you see any price index that doesn't provide this breakdown.

    The dashed lines show nominal house price changes, the solid lines show the same data adjusted for inflation. Economists call this the 'real' price change. You have to take inflation into account when comparing prices over time. It's calculated using the formula:

    Real Rate of Return = (1 + Nominal Rate) ÷ (1 + Inflation Rate) – 1
    In this formula, the nominal rate is the rate of change before any adjustments, and the inflation rate is taken from the Consumer Price Index. The real rate of return is a more accurate measure of change in value, because £1 today does not have the same buying power as £1 in the past. For example, if a savings account pays an interest rate of 3% per year and the inflation rate is 5% per year, the real rate of return is -2%. This means that the investment's value is shrinking by 2% each year.

    Historic returns for RM
    All Flats Houses
    Nominal Real Nominal Real Nominal Real
    20 yr per annum 3.7% 0.8% 2.6% -0.2% 4.0% 1.1%
    20 yr total 105.5% 17.9% 67.1% -4.1% 118.5% 25.4%
    10 yr per annum 2.4% -1.0% 1.4% -1.9% 2.6% -0.7%
    10 yr total 26.6% -9.2% 15.0% -17.6% 29.5% -7.2%
    5 yr per annum 1.7% -3.1% 0.5% -4.3% 2.2% -2.7%
    5 yr total 9.0% -14.6% 2.4% -19.7% 11.2% -12.8%
    1 yr per annum -0.0% -3.1% -0.5% -3.6% 0.3% -2.8%
    1 yr total -0.0% -3.1% -0.5% -3.6% 0.3% -2.8%

    This table complements the house price index chart above, presenting the data in a more detailed format. It breaks down the information into 20-year, 10-year, 5-year, and 1-year periods, further categorized by property type. For each period, we display both a per annum rate of change and a total rate of change.

    The total rate of change represents the overall change over the entire period. The formula for total return is:

    Total return = (Index at end of period ÷ Index at start of period) - 1

    The per annum rate of change is the annualized rate of change over the period. This is equivalent to the annual bank savings rate you would need to achieve the same total return over the given period. This annualized return is also known as the Compound Annual Growth Rate (CAGR). The formula for CAGR is:

    CAGR = (1 + Total return) ^ (1 ÷ Number of years) - 1

    Some specific examples:

    • Over the past 20 years, All have seen a 0.8% annual change when adjusted for inflation. This translates to a total change of 17.9% in real terms.
    • Over the past 5 years, Houses have seen a -2.7% annual change when adjusted for inflation. This translates to a total change of -12.8% in real terms.

    Snakes & Ladders

    See the recent winners & losers in the RM property market. This is not deep analysis - it is a nosy, tabloid-style peek at the local property market.

    Explore RM winners & losers

    RM's constituents

    The analysis on this page encompasses the entirety of RM. If you want more granular analysis on different parts of RM, use these links.

    Postcode district Lower quartile Median Upper quartile Sales in last 2yr
    RM1 Romford £4,290 sqm £4,880 sqm £5,560 sqm 672
    RM10 Dagenham £4,310 sqm £4,860 sqm £5,440 sqm 633
    RM11 Hornchurch £4,690 sqm £5,300 sqm £5,940 sqm 861
    RM12 Hornchurch £4,690 sqm £5,250 sqm £5,900 sqm 996
    RM13 Rainham £4,230 sqm £4,790 sqm £5,390 sqm 827
    RM14 Upminster £4,900 sqm £5,640 sqm £6,380 sqm 743
    RM15 South Ockendon £3,900 sqm £4,400 sqm £4,890 sqm 732
    RM16 Chafford Hundred £4,030 sqm £4,510 sqm £5,170 sqm 978
    RM17 Grays £3,650 sqm £4,230 sqm £4,910 sqm 698
    RM18 East Tilbury £3,520 sqm £3,910 sqm £4,400 sqm 365
    RM19 Purfleet £3,370 sqm £3,780 sqm £4,480 sqm 176
    RM2 Romford £4,730 sqm £5,290 sqm £5,920 sqm 417
    RM20 Grays £3,460 sqm £4,220 sqm £4,770 sqm 187
    RM3 Romford £4,260 sqm £4,830 sqm £5,330 sqm 988
    RM4 Abridge £4,780 sqm £5,550 sqm £6,390 sqm 134
    RM5 Romford £4,410 sqm £5,060 sqm £5,580 sqm 479
    RM6 Chadwell Heath £4,380 sqm £4,890 sqm £5,490 sqm 599
    RM7 Romford £4,360 sqm £4,880 sqm £5,420 sqm 750
    RM8 Dagenham £4,360 sqm £4,950 sqm £5,470 sqm 645
    RM9 Dagenham £4,460 sqm £4,940 sqm £5,430 sqm 535

    Nearby geographies

    The table below shows how 'RM' compares to the other postcode areas nearby 'RM'.

    Area Lower quartile Median Upper quartile Sales in last 1yr
    SS- Southend-on-Sea £3,540 sqm £4,160 sqm £4,870 sqm 6,023
    SE- South East London £5,310 sqm £6,410 sqm £7,800 sqm 8,318
    RM- Romford £4,280 sqm £4,890 sqm £5,550 sqm 4,849
    IG- Ilford £4,610 sqm £5,370 sqm £6,250 sqm 2,377
    DA- Dartford £4,050 sqm £4,730 sqm £5,450 sqm 4,424
    CM- Chelmsford £3,850 sqm £4,530 sqm £5,280 sqm 8,021

    Raw data

    Our analysis of RM is derived from what is essentially a big table of sold prices from Land Registry with added property size information. Below are three rows from this table to give you an idea.

    Address Paid sqm £/sqm
    9, Sterry Crescent, £465,000
    May-2026
    101 4,603
    49, Edison Avenue, £585,000
    May-2026
    126 4,642
    2, Bartholomew Drive, £135,000
    May-2026
    36 3,750

    Search the raw data here.

    About

    I created HouseMetric because I wanted to see this data and analysis myself, I also wanted to teach myself to build a website. Please give me feedback or spread the word about it. I'm constantly tinkering and adding more stuff to it.