House prices in 'B91 1', Solihull

Price per square foot data and charts revealed. Latest statistics for the housing market in 'B91 1' (Solihull) - calculated on 11 April 2026.

Defining 'B91 1'

This analysis is limited to properties whose postcode starts with "B91 1", this is also called the postcode sector. There are no official postcode sector names so I've just labelled it B91 1, Solihull. 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 B91 1 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 February 2026, 491, Warwick Road, Solihull, B91 1AN sold for £750,000. Given the internal area of 2,421 square feet recorded on the EPC, the price per sqft is £750,000 ÷ 2,421 sqft = £309.

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 B91 1 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 'B91 1' vs 'B91'

The chart above is called a histogram, it helps you see the distribution of house price per sqft in B91 1 To make this chart we put all the sales data into a series of £ per sqft 'buckets' (e.g. £360 to £380, £380 to £399, £399 to £418 etc...) we then count the number of sales with within in each bucket and plot the results. The histogram is based on 276 sales that took place in B91 1, Solihull 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 B91 1, Solihull. Notably, only 25% of properties that sold recently were valued at more than £443 sqft. For anything to be valued more than this means it has to be more desireable than the clear majority of B91 1 homes.


Box plot of £ per sqft for B91 1

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. Solihull. The chart above shows a boxplot for 'B91 1' as well as the 'B91' 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 'B91 1' is £389.
  • 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 276 transactions in B91 1, Solihull half were sold for between £318 and £443 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; 276 for B91 1, Solihull.
  • Property price map for Solihull

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

    Solihull house price forecasting

    House prices in B91 1 fell -18.1% in the last year, -20.7% 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 B91 1 (Solihull) compared with the wider postcode district of B91.


    House price index for B91 1

    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 'B91 1' property prices over the last 20 years. The index is calculated from the average price paid per sqft for property in B91 1 and is set to 100 in 2004. I'm comparing the trends for B91 1,Solihull with the wider postcode district of B91 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 Solihull 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 B91 1
    B91 1 sector B91 district
    Nominal Real Nominal Real
    20 yr per annum 1.5% -1.3% 1.8% -1.0%
    20 yr total 35.1% -22.5% 42.4% -18.3%
    10 yr per annum 0.0% -3.3% 1.0% -2.3%
    10 yr total 0.2% -28.2% 10.8% -20.6%
    5 yr per annum -3.2% -7.8% -1.7% -6.4%
    5 yr total -14.9% -33.3% -8.1% -28.0%
    1 yr per annum -18.1% -20.7% -6.9% -9.7%
    1 yr total -18.1% -20.7% -6.9% -9.7%

    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, B91 district have seen a -1.0% annual change when adjusted for inflation. This translates to a total change of -18.3% in real terms.
    • Over the past 5 years, B91 1 sector have seen a -7.8% annual change when adjusted for inflation. This translates to a total change of -33.3% in real terms.

    Most recent B91 1 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
    Warwick Road, Solihull, B91 1A 1,539 sqft £394 32
    Grange Road, Solihull, B91 1E 807 sqft £222 20
    Danford Lane, Solihull, B91 1Q 1,582 sqft £423 18
    Dorchester Road, Solihull, B91 1L 1,227 sqft £365 17
    Streetsbrook Road, Solihull, B91 1Q 710 sqft £421 17
    Alderbrook Road, Solihull, B91 1N 3,272 sqft £463 16
    Silhill Hall Road, Solihull, B91 1J 1,991 sqft £466 16
    Grange Road, Solihull, B91 1B 904 sqft £213 15

    Search for your street here.

    Nearby geographies

    The table below shows how 'B91 1' compares to the other postcode sectors in B91.

    Sector Lower quartile Median Upper quartile Sales in last 2yr
    B92 8 Solihull £274 sqft £324 sqft £373 sqft 321
    B92 7 Solihull £272 sqft £319 sqft £359 sqft 348
    B91 3 Solihull £322 sqft £416 sqft £475 sqft 303
    B91 2 Solihull £274 sqft £343 sqft £405 sqft 314
    B91 1 Solihull £318 sqft £389 sqft £443 sqft 276
    B90 4 Shirley £331 sqft £384 sqft £434 sqft 450
    B90 3 Shirley £304 sqft £350 sqft £396 sqft 286

    Raw data

    Our analysis of B91 1 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
    491, Warwick Rd, Solihull £750,000
    Feb-2026
    2,421 309
    8, Witherford Croft, Solihull £565,000
    Feb-2026
    1,367 413
    27, Cheltondale Rd, Solihull £570,000
    Feb-2026
    1,388 410

    See the entire list of all sales in B91 1 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.