House prices in WS (Walsall)

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

Defining postcode area 'WS'

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

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Price per square metre

Knowing the average house price in WS 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, 37, Conway Road, Walsall, WS11 1PH sold for £225,000. Given the internal area of 84 square metres recorded on the EPC, the price per sqm is £225,000 ÷ 84 sqm = £2,678.

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 WS 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 WS

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 WS To make this chart we put all the sales data into a series of £ per sqm 'buckets' (e.g. £2,857 to £3,030, £3,030 to £3,203, £3,203 to £3,376 etc...) we then count the number of sales with within in each bucket and plot the results. The histogram is based on 4,336 sales that took place in WS 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 WS, Walsall. Notably, only 25% of properties that sold recently were valued at more than £3,430 sqm. For anything to be valued more than this means it has to be more desireable than the clear majority of WS homes.


Box plot of £ per sqm for WS

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. WS. The chart above shows a boxplot for 'WS' 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 'WS' is £2,860.
  • 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 4,336 sales in WS half were sold for between £2,270 and £3,430 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 WS. 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 WS

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

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

    Shows the distribution of different property types in WS.

    Property price map for Walsall

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

    Price trends

    House prices in 'WS' Walsall grew 1.5% in the last year, -1.6% 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 'WS', 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 WS

    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 'WS' property prices over the last 20 years. The index is calculated from the average price paid per sqm for property in WS and is set to 100 in 2004. The chart compares trends for Flats vs Houses in WS. 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 WS
    All Flats Houses
    Nominal Real Nominal Real Nominal Real
    20 yr per annum 2.8% 0.0% 1.3% -1.5% 3.1% 0.2%
    20 yr total 74.3% 0.0% 29.3% -25.8% 82.7% 4.8%
    10 yr per annum 4.2% 0.8% 2.4% -0.9% 4.4% 1.0%
    10 yr total 50.6% 7.9% 26.8% -9.1% 54.3% 10.6%
    5 yr per annum 3.2% -1.7% 1.7% -3.2% 3.4% -1.5%
    5 yr total 17.0% -8.3% 8.6% -14.9% 18.2% -7.3%
    1 yr per annum 1.5% -1.6% -3.9% -6.9% 2.3% -0.9%
    1 yr total 1.5% -1.6% -3.9% -6.9% 2.3% -0.9%

    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 0.0% annual change when adjusted for inflation. This translates to a total change of 0.0% in real terms.
    • Over the past 5 years, Houses have seen a -1.5% annual change when adjusted for inflation. This translates to a total change of -7.3% in real terms.

    Snakes & Ladders

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

    Explore WS winners & losers

    WS's constituents

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

    Postcode district Lower quartile Median Upper quartile Sales in last 2yr
    WS1 Walsall £1,620 sqm £1,990 sqm £2,570 sqm 430
    WS10 Wednesbury £1,900 sqm £2,410 sqm £2,880 sqm 817
    WS11 Cannock £2,250 sqm £2,760 sqm £3,220 sqm 1,284
    WS12 Hednesford £2,410 sqm £2,960 sqm £3,350 sqm 1,062
    WS13 Lichfield £2,990 sqm £3,580 sqm £4,110 sqm 1,099
    WS14 Lichfield £3,410 sqm £3,940 sqm £4,520 sqm 638
    WS15 Rugeley £2,340 sqm £2,880 sqm £3,390 sqm 1,057
    WS2 Walsall £1,650 sqm £2,060 sqm £2,520 sqm 622
    WS3 Walsall £1,980 sqm £2,460 sqm £2,940 sqm 1,226
    WS4 Walsall £2,130 sqm £2,640 sqm £3,090 sqm 448
    WS5 Walsall £2,670 sqm £3,110 sqm £3,560 sqm 392
    WS6 Cheslyn Hay £2,460 sqm £2,860 sqm £3,360 sqm 474
    WS7 Burntwood £2,580 sqm £3,030 sqm £3,510 sqm 830
    WS8 Brownhills £2,240 sqm £2,640 sqm £3,050 sqm 402
    WS9 Aldridge £2,620 sqm £3,140 sqm £3,630 sqm 731

    Nearby geographies

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

    Area Lower quartile Median Upper quartile Sales in last 1yr
    WV- Wolverhampton £2,180 sqm £2,780 sqm £3,310 sqm 3,391
    WS- Walsall £2,270 sqm £2,860 sqm £3,430 sqm 4,336
    ST- Stoke-on-Trent £1,780 sqm £2,430 sqm £3,040 sqm 7,542
    DY- Dudley £2,370 sqm £2,900 sqm £3,430 sqm 4,097
    DE- Derby £2,180 sqm £2,770 sqm £3,290 sqm 9,248
    B- Birmingham £2,410 sqm £3,040 sqm £3,670 sqm 17,028

    Raw data

    Our analysis of WS 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
    37, Conway Rd, £225,000
    Sep-2026
    84 2,678
    144a, Crankhall Lane, £240,000
    Sep-2026
    72 3,333
    5, Freer Drive, £555,000
    Sep-2026
    150 3,700

    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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