House prices in GL (Gloucester)

Price per square metre data and charts to help you understand the housing market in GL - stats were last calculated on 01 November 2026.

Defining postcode area 'GL'

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

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Price per square metre

Knowing the average house price in GL 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 September 2026, 4, Ryelands Road, Gloucester, GL10 2PQ sold for £252,000. Given the internal area of 70 square metres recorded on the EPC, the price per sqm is £252,000 ÷ 70 sqm = £3,600.

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 GL 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 GL

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 GL To make this chart we put all the sales data into a series of £ per sqm 'buckets' (e.g. £3,747 to £3,960, £3,960 to £4,174, £4,174 to £4,388 etc...) we then count the number of sales with within in each bucket and plot the results. The histogram is based on 7,956 sales that took place in GL 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 GL, Gloucester. Notably, only 25% of properties that sold recently were valued at more than £4,350 sqm. For anything to be valued more than this means it has to be more desireable than the clear majority of GL homes.


Box plot of £ per sqm for GL

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. GL. The chart above shows a boxplot for 'GL' 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 'GL' is £3,650.
  • 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 7,956 sales in GL half were sold for between £3,010 and £4,350 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 GL. 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. Custom charts are available with a paid plan.

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

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

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

    Shows the distribution of different property types in GL.

    Property price map for Gloucester

    Have a look at the interactive price map. Use it to explore house prices in 'Gloucester' all the way down to individual property plots.

    Price trends

    House prices in 'GL' Gloucester fell -0.1% in the last year, -3.2% after inflation. Whether or not this trend will continue depends on many factors. No one can say what house prices will do in the future. The chart below plots price trends for postcode area 'GL', 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 GL

    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 'GL' property prices over the last 20 years. The index is calculated from the average price paid per sqm for property in GL and is set to 100 in 2004. The chart compares trends for Flats vs Houses in GL. 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 GL
    All Flats Houses
    Nominal Real Nominal Real Nominal Real
    20 yr per annum 2.6% -0.2% 1.0% -1.8% 2.9% 0.1%
    20 yr total 68.1% -3.5% 22.2% -29.9% 77.6% 1.9%
    10 yr per annum 3.3% -0.1% 1.6% -1.8% 3.6% 0.2%
    10 yr total 38.2% -1.0% 16.8% -16.3% 41.9% 1.7%
    5 yr per annum 2.3% -2.5% 0.3% -4.4% 2.7% -2.2%
    5 yr total 12.1% -12.1% 1.6% -20.3% 14.1% -10.5%
    1 yr per annum -0.1% -3.2% -1.0% -4.0% -0.1% -3.2%
    1 yr total -0.1% -3.2% -1.0% -4.0% -0.1% -3.2%

    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, Flats have seen a -1.8% annual change when adjusted for inflation. This translates to a total change of -29.9% in real terms.
    • Over the past 5 years, Flats have seen a -4.4% annual change when adjusted for inflation. This translates to a total change of -20.3% in real terms.

    Snakes & Ladders

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

    Explore GL winners & losers

    GL's constituents

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

    Postcode district Lower quartile Median Upper quartile Sales in last 2yr
    GL1 Gloucester £2,120 sqm £2,480 sqm £2,860 sqm 1,152
    GL10 Stonehouse £3,020 sqm £3,560 sqm £4,020 sqm 566
    GL11 Cam £2,930 sqm £3,430 sqm £3,980 sqm 617
    GL12 Charfield £3,270 sqm £3,840 sqm £4,260 sqm 377
    GL13 Berkeley £2,830 sqm £3,320 sqm £3,950 sqm 205
    GL14 Cinderford £2,310 sqm £2,740 sqm £3,250 sqm 407
    GL15 Lydney £2,620 sqm £3,120 sqm £3,530 sqm 681
    GL16 Coleford £2,630 sqm £3,080 sqm £3,640 sqm 389
    GL17 Mitcheldean £2,560 sqm £3,060 sqm £3,620 sqm 313
    GL18 Newent £2,640 sqm £3,120 sqm £3,670 sqm 235
    GL19 Huntley £3,180 sqm £3,720 sqm £4,330 sqm 241
    GL2 Quedgeley £3,050 sqm £3,490 sqm £3,900 sqm 2,116
    GL20 Walton Cardiff £2,850 sqm £3,360 sqm £3,840 sqm 962
    GL3 Churchdown £3,050 sqm £3,560 sqm £3,970 sqm 1,388
    GL4 Abbeymead £2,760 sqm £3,330 sqm £3,860 sqm 1,329
    GL5 Stroud £3,200 sqm £3,760 sqm £4,380 sqm 985
    GL50 Cheltenham £3,330 sqm £3,940 sqm £4,750 sqm 995
    GL51 Cheltenham £3,140 sqm £3,720 sqm £4,370 sqm 1,523
    GL52 Bishops Cleeve £3,420 sqm £4,010 sqm £4,540 sqm 1,765
    GL53 Charlton Kings £4,350 sqm £4,980 sqm £5,580 sqm 699
    GL54 Winchcombe £3,690 sqm £4,410 sqm £5,160 sqm 771
    GL55 Mickleton £3,890 sqm £4,730 sqm £5,730 sqm 192
    GL56 Blockley £3,750 sqm £4,520 sqm £5,300 sqm 434
    GL6 Nailsworth £3,690 sqm £4,320 sqm £4,960 sqm 678
    GL7 Cirencester £3,530 sqm £4,250 sqm £4,960 sqm 1,354
    GL8 Tetbury £3,860 sqm £4,490 sqm £5,040 sqm 335
    GL9 Hawkesbury Upton £3,590 sqm £4,040 sqm £4,600 sqm 34

    Nearby geographies

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

    Area Lower quartile Median Upper quartile Sales in last 1yr
    WR- Worcester £2,840 sqm £3,380 sqm £3,900 sqm 3,514
    SN- Swindon £2,900 sqm £3,490 sqm £4,030 sqm 5,901
    OX- Oxford £3,780 sqm £4,440 sqm £5,190 sqm 6,817
    NP- Newport £1,890 sqm £2,530 sqm £3,230 sqm 5,105
    HR- Hereford £2,600 sqm £3,100 sqm £3,590 sqm 2,032
    GL- Gloucester £3,010 sqm £3,650 sqm £4,350 sqm 7,956
    CV- Coventry £2,540 sqm £3,160 sqm £3,860 sqm 9,705
    BS- Bristol £3,420 sqm £4,030 sqm £4,680 sqm 12,213

    Raw data

    Our analysis of GL 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
    4, Ryelands Rd, £252,000
    Sep-2026
    70 3,600
    Pike Cottage, High St, £225,000
    Sep-2026
    69 3,260
    293, London Rd, £523,020
    Sep-2026
    160 3,268

    Search the raw data here.

    About

    HouseMetric brings together Land Registry records, freehold boundaries, estate agent photos, floor plans, and planning applications into a single interactive platform. Alongside raw records, it delivers deep property-market analysis and thematic heatmaps.

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