House prices in SO (Southampton)
Price per square metre data and charts to help you understand the housing market in SO - stats were last calculated on 01 November 2026.
Defining postcode area 'SO'
This analysis is limited to properties whose postcode starts with "SO", this is also called the postcode area. There are no official postcode area names, so it is labelled SO, Southampton. 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 SO 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, 1, Pilley Green, Southampton, SO41 5QQ sold for £405,000. Given the internal area of 87 square metres recorded on the EPC, the price per sqm is £405,000 ÷ 87 sqm = £4,655.
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 SO 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 SO
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 SO To make this chart we put all the sales data into a series of £ per sqm 'buckets' (e.g. £4,137 to £4,364, £4,364 to £4,590, £4,590 to £4,817 etc...) we then count the number of sales with within in each bucket and plot the results. The histogram is based on 7,799 sales that took place in SO 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 SO, Southampton. Notably, only 25% of properties that sold recently were valued at more than £4,650 sqm. For anything to be valued more than this means it has to be more desireable than the clear majority of SO homes.
Box plot of £ per sqm for SO
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. SO. The chart above shows a boxplot for 'SO' 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.
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 SO. 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
Shows the distribution of property prices per square metre in SO.
Distribution by property type
Price per square metre distribution by size and property type
Shows the distribution of different property types in SO.
Property price map for Southampton
Have a look at the interactive price map. Use it to explore house prices in 'Southampton' all the way down to individual property plots.
Price trends
House prices in 'SO' Southampton fell -0.5% in the last year, -3.6% 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 'SO', 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 SO
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 'SO' property prices over the last 20 years. The index is calculated from the average price paid per sqm for property in SO and is set to 100 in 2004. The chart compares trends for Flats vs Houses in SO. 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) – 1In 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 SO
| All | Flats | Houses | ||||
|---|---|---|---|---|---|---|
| Nominal | Real | Nominal | Real | Nominal | Real | |
| 20 yr per annum | 2.6% | -0.2% | 1.3% | -1.4% | 3.0% | 0.2% |
| 20 yr total | 68.3% | -3.4% | 30.4% | -25.2% | 81.2% | 4.0% |
| 10 yr per annum | 2.2% | -1.2% | 1.0% | -2.3% | 2.4% | -0.9% |
| 10 yr total | 24.1% | -11.1% | 10.7% | -20.7% | 27.0% | -9.0% |
| 5 yr per annum | 1.2% | -3.6% | 0.1% | -4.7% | 1.6% | -3.2% |
| 5 yr total | 6.4% | -16.6% | 0.5% | -21.2% | 8.3% | -15.1% |
| 1 yr per annum | -0.5% | -3.6% | -1.6% | -4.6% | -0.3% | -3.4% |
| 1 yr total | -0.5% | -3.6% | -1.6% | -4.6% | -0.3% | -3.4% |
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, Houses have seen a 0.2% annual change when adjusted for inflation. This translates to a total change of 4.0% in real terms.
- Over the past 5 years, Flats have seen a -4.7% annual change when adjusted for inflation. This translates to a total change of -21.2% in real terms.
Snakes & Ladders
See the recent winners & losers in the SO property market. This is not deep analysis - it is a nosy, tabloid-style peek at the local property market.
SO's constituents
The analysis on this page encompasses the entirety of SO. If you want more granular analysis on different parts of SO, use these links.
| Postcode district | Lower quartile | Median | Upper quartile | Sales in last 2yr |
|---|---|---|---|---|
| SO14 Southampton | £2,410 sqm | £2,950 sqm | £3,490 sqm | 639 |
| SO15 Southampton | £2,810 sqm | £3,210 sqm | £3,670 sqm | 1,180 |
| SO16 Southampton | £2,850 sqm | £3,330 sqm | £3,970 sqm | 1,369 |
| SO17 Southampton | £2,690 sqm | £3,160 sqm | £3,720 sqm | 893 |
| SO18 Southampton | £2,890 sqm | £3,430 sqm | £4,100 sqm | 1,025 |
| SO19 Southampton | £2,900 sqm | £3,360 sqm | £3,800 sqm | 1,438 |
| SO20 Kings Somborne | £4,040 sqm | £4,560 sqm | £5,210 sqm | 190 |
| SO21 Colden Common | £4,210 sqm | £4,850 sqm | £5,580 sqm | 420 |
| SO22 Winchester | £4,440 sqm | £5,340 sqm | £6,130 sqm | 818 |
| SO23 Winchester | £4,350 sqm | £5,200 sqm | £6,230 sqm | 679 |
| SO24 Alresford | £4,300 sqm | £5,060 sqm | £5,750 sqm | 277 |
| SO30 Hedge End | £3,480 sqm | £4,040 sqm | £4,510 sqm | 1,148 |
| SO31 Locks Heath | £3,580 sqm | £4,050 sqm | £4,580 sqm | 1,558 |
| SO32 Bishops Waltham | £3,680 sqm | £4,180 sqm | £4,740 sqm | 916 |
| SO40 Totton | £3,530 sqm | £4,060 sqm | £4,700 sqm | 1,132 |
| SO41 Milford On Sea | £4,330 sqm | £5,080 sqm | £6,000 sqm | 1,072 |
| SO42 Brockenhurst | £4,910 sqm | £6,060 sqm | £6,910 sqm | 134 |
| SO43 Lyndhurst | £4,300 sqm | £4,940 sqm | £5,980 sqm | 163 |
| SO45 Hythe | £3,300 sqm | £3,790 sqm | £4,360 sqm | 915 |
| SO50 Eastleigh | £3,180 sqm | £3,790 sqm | £4,330 sqm | 1,504 |
| SO51 Romsey | £3,930 sqm | £4,490 sqm | £5,180 sqm | 924 |
| SO52 North Baddesley | £3,830 sqm | £4,400 sqm | £4,900 sqm | 242 |
| SO53 Chandlers Ford | £3,780 sqm | £4,320 sqm | £4,900 sqm | 930 |
Nearby geographies
The table below shows how 'SO' compares to the other postcode areas nearby 'SO'.
| Area | Lower quartile | Median | Upper quartile | Sales in last 1yr |
|---|---|---|---|---|
| SP- Salisbury Plain | £3,110 sqm | £3,710 sqm | £4,220 sqm | 2,856 |
| SO- Southampton | £3,270 sqm | £3,930 sqm | £4,650 sqm | 7,799 |
| RG- Reading | £3,870 sqm | £4,570 sqm | £5,290 sqm | 9,307 |
| PO- Portsmouth | £2,820 sqm | £3,460 sqm | £4,160 sqm | 10,183 |
| GU- Guildford | £4,130 sqm | £4,930 sqm | £5,720 sqm | 8,504 |
| BH- Bournemouth | £3,350 sqm | £4,010 sqm | £4,710 sqm | 7,105 |
Raw data
Our analysis of SO 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 |
|---|---|---|---|
| 1, Pilley Green, | £405,000
Sep-2026
|
87 | 4,655 |
| 11, Coppice Gate, | £240,000
Sep-2026
|
92 | 2,608 |
| 4, Brook Rd, | £342,500
Sep-2026
|
82 | 4,176 |
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.
As a leading property data consolidator across England and Wales, HouseMetric is built to be the most comprehensive platform available.