House prices in CM4 (Stock)

Price per square metre data and charts to help you understand the housing market in CM4 - stats were last calculated on 01 December 2025.

Defining 'CM4'

This analysis is limited to properties whose postcode starts with "CM4", this is also called the postcode district. There are no official postcode district names so I've just labelled it CM4, Stock. It is shown in red on the map below.

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

Price per square metre

Knowing the average house price in CM4 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 October 2025, 19, Norton Road, Stock, CM4 0AA sold for £555,000. Given the internal area of 81 square metres recorded on the EPC, the price per sqm is £555,000 ÷ 81 sqm = £6,851.

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 ;-). It is a huge pain to code the automatic conversion for square meters to square feet for all the graphs and charts on CM4 and elsewhere. All the conditionals turn my tidy code for into spaghetti. I will get around to it at some point, but for now you can just divide everything by 10 in your head, move a decimal place and you'll be close enough. If you want to be more precise 1 sqm = 10.76391 sqft.


Distribution of £ per sqm for houses vs flats in CM4

The chart above is called a histogram, it helps you see the distribution of house price per sqm in CM4 To make this chart we put all the sales data into a series of £ per sqm 'buckets' (e.g. £6,250 to £6,500, £6,500 to £6,750, £6,750 to £7,000 etc...) we then count the number of sales with within in each bucket and plot the results. The histogram is based on 340 sales that took place in CM4, in the last 24 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 CM4, Stock. Notably, only 25% of properties that sold recently were valued at more than £6,510 sqm. For anything to be valued more than this means it has to be more desireable than the clear majority of CM4 homes.


Box plot of £ per sqm for CM4

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. Stock. The chart above shows a boxplot for 'CM4' as well as the 'CM' postcode area.

  • 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 'CM4' is £5,630.
  • 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 340 transactions in CM4, Stock half were sold for between £4,900 and £6,510 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 transactions the box plot is based on; 340 for CM4, Stock.
  • Property price map for Stock

    Have a look at the interactive price map I created for myself. Use it to explore 'CM4' house prices all the way down to individual property plots.

    Property price heatmap for Stock
    House price map for Stock

    Will CM4 house prices drop in 2025?

    House prices in CM4 grew 3.6% in the last year, -0.3% after inflation. Whether or not this trend will continue depends on many factors, such as wage growth, net migration, interest rates and the level of house building. No one can predict these things with certainty however we can plot the historic trends in house prices in CM4 (Stock) compared with the wider postcode area 'CM'.You can extrapolate from this based on your own views.


    House price index for CM4

    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 'CM4' property prices over the last 20 years. The index is calculated from the average price paid per sqm for property in CM4 and is set to 100 in 2004. The chart compares trends for CM4, Stock against those of the broader postcode area 'CM'. What is more interesting is to look at the difference between flats and houses, even those in the same area follow a very different trend, to get a robust enough sample size to see this we need to zoom out and look at house price trends for the entire Brentwood local authority.

    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 CM4
    CM area CM4 district
    Nominal Real Nominal Real
    20 yr per annum 3.3% 0.5% 3.8% 1.0%
    20 yr total 91.2% 10.8% 109.9% 21.6%
    10 yr per annum 3.1% -0.1% 2.7% -0.4%
    10 yr total 35.2% -0.7% 30.4% -4.3%
    5 yr per annum 2.2% -2.2% 1.2% -3.1%
    5 yr total 11.3% -10.8% 6.3% -14.8%
    1 yr per annum 1.7% -2.2% 3.6% -0.3%
    1 yr total 1.7% -2.2% 3.6% -0.3%

    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, CM area have seen a 0.5% annual change when adjusted for inflation. This translates to a total change of 10.8% in real terms.
    • Over the past 5 years, CM area have seen a -2.2% annual change when adjusted for inflation. This translates to a total change of -10.8% in real terms.

    Most recent CM4 sales

    For the most recent sales activity, rather than a summarized average, it is better to see the underlying data. This is shown in the chart below, where blue dots represent individual sales, click on them to see details. If there is an obvious trend you should be able to spot it here amid the noise from outliers.


    Tip: hover over dots to see details


    Street level data

    Street Avg size Avg £sqm Recent sales
    Fryerning Lane, , CM4 0D 91 sqm £5,527 15
    The Paddocks, , CM4 0B 115 sqm £6,399 15
    High Street, , CM4 9B 151 sqm £6,905 14
    The Furlongs, , CM4 0A 119 sqm £5,232 14
    Heybridge Road, , CM4 9A 87 sqm £5,340 12
    Maldon Road, , CM4 9J 122 sqm £4,702 11
    Orchard Piece, , CM4 0R 124 sqm £4,708 10
    Well Lane, , CM4 9L 159 sqm £6,770 10

    Search for your street here.

    Nearby geographies

    The table below shows how 'CM4' compares to the other postcode districts nearby 'CM4'.

    District Lower quartile Median Upper quartile Sales in last 2yr
    CM9 Heybridge £3,660 sqm £4,240 sqm £4,770 sqm 972
    CM8 Witham £3,460 sqm £3,960 sqm £4,540 sqm 998
    CM77 Great Notley £3,490 sqm £3,970 sqm £4,520 sqm 373
    CM7 Braintree £3,200 sqm £3,800 sqm £4,340 sqm 1,495
    CM6 Dunmow £3,670 sqm £4,260 sqm £4,850 sqm 979
    CM5 Ongar £4,320 sqm £5,070 sqm £5,810 sqm 246
    CM4 Stock £4,900 sqm £5,630 sqm £6,510 sqm 340
    CM3 South Woodham Ferrers £3,890 sqm £4,500 sqm £5,070 sqm 1,419
    CM24 Stansted £3,960 sqm £4,540 sqm £5,120 sqm 238
    CM23 Bishops Stortford £4,290 sqm £4,860 sqm £5,450 sqm 1,275

    Raw data

    Our analysis of CM4 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
    19, Norton Rd, £555,000
    Oct-2025
    81 6,851
    126, Mill Rd, £700,000
    Oct-2025
    82 8,536
    9, Mellor Close, £195,000
    Oct-2025
    46 4,239

    See the entire list of all sales in CM4 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.