House prices in 'CM77 6', Rayne

Price per square foot data and charts revealed. Latest statistics for the housing market in 'CM77 6' (Rayne, Great Notley) - calculated on 04 March 2026.

Defining 'CM77 6'

This analysis is limited to properties whose postcode starts with "CM77 6", this is also called the postcode sector. There are no official postcode sector names so I've just labelled it CM77 6, Rayne. 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 sector, or you can use the search form below.

Price per square foot

Knowing the average house price in CM77 6 is not much use. However, knowing average price per square foot can be quite useful. Price per sqft allows some comparison between properties of different size. We define price per square foot as the sold price divided by the internal area of a property:

£ per sqft = price ÷ internal area

For example in December 2025, 15, Medley Road, Rayne, CM77 6TQ sold for £390,000. Given the internal area of 1,033 square feet recorded on the EPC, the price per sqft is £390,000 ÷ 1,033 sqft = £377.

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 CM77 6 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 sqft for 'CM77 6' vs 'CM77'

The chart above is called a histogram, it helps you see the distribution of house price per sqft in CM77 6 To make this chart we put all the sales data into a series of £ per sqft 'buckets' (e.g. £362 to £371, £371 to £380, £380 to £390 etc...) we then count the number of sales with within in each bucket and plot the results. The histogram is based on 78 sales that took place in CM77 6, Rayne, Great Notley 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 CM77 6, Rayne. Notably, only 25% of properties that sold recently were valued at more than £398 sqft. For anything to be valued more than this means it has to be more desireable than the clear majority of CM77 6 homes.


Box plot of £ per sqft for CM77 6

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 foot property price distributions, box plots represent the variation in property prices within a geographic area e.g. Rayne. The chart above shows a boxplot for 'CM77 6' as well as the 'CM77' postcode district.

  • 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 foot in 'CM77 6' is £379.
  • 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 78 transactions in CM77 6, Rayne half were sold for between £337 and £398 per square foot.
  • 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; 78 for CM77 6, Rayne.
  • Property price map for Rayne

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

    Rayne house price forecasting

    House prices in CM77 6 grew 2.4% in the last year, -1.5% 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 CM77 6 (Rayne) compared with the wider postcode district of CM77.


    House price index for CM77 6

    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 'CM77 6' property prices over the last 20 years. The index is calculated from the average price paid per sqft for property in CM77 6 and is set to 100 in 2004. I'm comparing the trends for CM77 6,Rayne with the wider postcode district of CM77 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 Braintree 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 CM77 6
    CM77 6 sector CM77 district
    Nominal Real Nominal Real
    20 yr per annum 3.3% 0.5% 2.2% -0.6%
    20 yr total 91.2% 10.8% 53.2% -12.1%
    10 yr per annum 3.0% -0.1% 1.0% -2.3%
    10 yr total 34.6% -1.2% 10.8% -20.6%
    5 yr per annum 2.8% -1.7% -1.3% -6.0%
    5 yr total 14.5% -8.2% -6.2% -26.4%
    1 yr per annum 2.4% -1.5% -12.9% -15.6%
    1 yr total 2.4% -1.5% -12.9% -15.6%

    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, CM77 6 sector 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, CM77 district have seen a -6.0% annual change when adjusted for inflation. This translates to a total change of -26.4% in real terms.

    Most recent CM77 6 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 £sqft Recent sales
    Foundry Way, Rayne, CM77 6A 936 sqft £370 13
    Springfields, Rayne, CM77 6G 796 sqft £395 9
    Gilda Terrace, Rayne, CM77 6R 785 sqft £387 8
    Sun Lido Square Gardens, Rayne, CM77 6G 785 sqft £402 8
    Hance Lane, Rayne, CM77 6T 968 sqft £355 8
    New Road, Rayne, CM77 6T 1,108 sqft £413 8
    Brunwin Road, Rayne, CM77 6B 1,001 sqft £326 7
    Capel Road, Rayne, CM77 6B 893 sqft £391 6

    Search for your street here.

    Nearby geographies

    The table below shows how 'CM77 6' compares to the other postcode sectors in CM77.

    Sector Lower quartile Median Upper quartile Sales in last 2yr
    CM77 8 Black Notley £302 sqft £347 sqft £397 sqft 180
    CM77 7 Great Notley £330 sqft £385 sqft £433 sqft 153
    CM77 6 Rayne £337 sqft £379 sqft £398 sqft 78
    CM7 5 Braintree £306 sqft £355 sqft £402 sqft 295
    CM7 2 Braintree £281 sqft £330 sqft £376 sqft 241
    CM6 3 Felsted £335 sqft £379 sqft £432 sqft 291
    CM3 1 Great Leighs £347 sqft £403 sqft £478 sqft 100

    Raw data

    Our analysis of CM77 6 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 sqft £/sqft
    15, Medley Rd, Rayne, Great Notley £390,000
    Dec-2025
    1,033 377
    7, Foundry Way, Rayne, Great Notley £215,000
    Nov-2025
    613 350
    11, Sun Lido Square Gardens, Rayne, Great Notley £327,500
    Sep-2025
    828 395

    See the entire list of all sales in CM77 6 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.