House prices in WS4 (Walsall)

Price per square metre data and charts to help you understand the housing market in WS4 - stats were last calculated on 02 May 2026.

Defining 'WS4'

This analysis is limited to properties whose postcode starts with "WS4", this is also called the postcode district. There are no official postcode district names so I've just labelled it WS4, Walsall. 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 district, or you can use the search form below.

Price per square metre

Knowing the average house price in WS4 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 March 2026, 72, King George Crescent, Walsall, WS4 1EG sold for £220,000. Given the internal area of 91 square metres recorded on the EPC, the price per sqm is £220,000 ÷ 91 sqm = £2,417.

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 WS4 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 WS4

The chart above is called a histogram, it helps you see the distribution of house price per sqm in WS4 To make this chart we put all the sales data into a series of £ per sqm 'buckets' (e.g. £2,500 to £2,643, £2,643 to £2,787, £2,787 to £2,930 etc...) we then count the number of sales with within in each bucket and plot the results. The histogram is based on 415 sales that took place in WS4, 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 WS4, Walsall. Notably, only 25% of properties that sold recently were valued at more than £3,030 sqm. For anything to be valued more than this means it has to be more desireable than the clear majority of WS4 homes.

Box plot of £ per sqm for WS4

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. Walsall. The chart above shows a boxplot for 'WS4' as well as the 'WS' 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 'WS4' is £2,600.
  • 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 415 transactions in WS4, Walsall half were sold for between £2,110 and £3,030 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; 415 for WS4, Walsall.

    • Property price map for Walsall

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

    House price heatmap showing property values across Walsall 🔍 Explore map ›

    Will WS4 house prices drop in 2025?

    House prices in WS4 grew 3.2% in the last year, 0.0% 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 WS4 (Walsall) compared with the wider postcode area 'WS'.You can extrapolate from this based on your own views.

    House price index for WS4

    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 'WS4' property prices over the last 20 years. The index is calculated from the average price paid per sqm for property in WS4 and is set to 100 in 2004. The chart compares trends for WS4, Walsall against those of the broader postcode area 'WS'. 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 Walsall 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 WS4
    WS area WS4 district
    Nominal Real Nominal Real
    20 yr per annum 2.8% -0.0% 2.7% -0.1%
    20 yr total 72.5% -1.0% 70.7% -2.1%
    10 yr per annum 4.1% 0.7% 3.9% 0.5%
    10 yr total 49.6% 7.2% 47.3% 5.5%
    5 yr per annum 3.0% -1.9% 2.8% -2.1%
    5 yr total 16.0% -9.1% 14.9% -9.9%
    1 yr per annum 0.6% -2.5% 3.2% 0.0%
    1 yr total 0.6% -2.5% 3.2% 0.0%

    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, WS4 district have seen a -0.1% annual change when adjusted for inflation. This translates to a total change of -2.1% in real terms.
    • Over the past 5 years, WS4 district have seen a -2.1% annual change when adjusted for inflation. This translates to a total change of -9.9% in real terms.

    Most recent WS4 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
    Barns Lane, , WS4 1H 81 sqm £2,768 26
    Lichfield Road, , WS4 1P 92 sqm £2,185 23
    Rough Brook Road, , WS4 1E 72 sqm £2,642 16
    Westway, , WS4 1D 84 sqm £3,110 14
    William Street, , WS4 2A 94 sqm £1,491 14
    Mill Road, , WS4 1B 99 sqm £2,985 13
    Lichfield Road, , WS4 1E 122 sqm £2,405 13
    Penmire Grove, , WS4 1G 80 sqm £2,663 13

    Search for your street here.

    Nearby geographies

    The table below shows how 'WS4' compares to the other postcode districts nearby 'WS4'.

    District Lower quartile Median Upper quartile Sales in last 2yr
    WS9 Aldridge £2,550 sqm £3,020 sqm £3,570 sqm 705
    WS8 Brownhills £2,240 sqm £2,710 sqm £3,070 sqm 402
    WS7 Burntwood £2,540 sqm £2,960 sqm £3,450 sqm 814
    WS6 Cheslyn Hay £2,460 sqm £2,860 sqm £3,380 sqm 421
    WS5 Walsall £2,570 sqm £3,060 sqm £3,470 sqm 397
    WS4 Walsall £2,110 sqm £2,600 sqm £3,030 sqm 415
    WS3 Walsall £1,970 sqm £2,460 sqm £2,940 sqm 1,246
    WS2 Walsall £1,620 sqm £2,000 sqm £2,550 sqm 652
    WS15 Rugeley £2,300 sqm £2,800 sqm £3,290 sqm 1,031
    WS14 Lichfield £3,330 sqm £3,890 sqm £4,440 sqm 601

    Raw data

    Our analysis of WS4 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
    72, King George Crescent, £220,000
    Mar-2026
    		 91 2,417
    9, Old Mill Gardens, £165,000
    Mar-2026
    		 48 3,437
    58, The Parkway, £350,000
    Mar-2026
    		 92 3,804

    See the entire list of all sales in WS4 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.