House prices in S36 (Penistone)

Price per square metre data and charts to help you understand the housing market in S36 - stats were last calculated on 02 May 2026.

Defining 'S36'

This analysis is limited to properties whose postcode starts with "S36", this is also called the postcode district. There are no official postcode district names so I've just labelled it S36, Penistone. It is shown in red on the map below.

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Price per square metre

Knowing the average house price in S36 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, 22, Clarel Street, Penistone, S36 6AU sold for £205,000. Given the internal area of 112 square metres recorded on the EPC, the price per sqm is £205,000 ÷ 112 sqm = £1,830.

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 S36 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 S36

The chart above is called a histogram, it helps you see the distribution of house price per sqm in S36 To make this chart we put all the sales data into a series of £ per sqm 'buckets' (e.g. £2,545 to £2,682, £2,682 to £2,820, £2,820 to £2,957 etc...) we then count the number of sales with within in each bucket and plot the results. The histogram is based on 1,063 sales that took place in S36, 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 S36, Penistone. Notably, only 25% of properties that sold recently were valued at more than £3,170 sqm. For anything to be valued more than this means it has to be more desireable than the clear majority of S36 homes.

Box plot of £ per sqm for S36

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. Penistone. The chart above shows a boxplot for 'S36' as well as the 'S' 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 'S36' is £2,620.
  • 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 1,063 transactions in S36, Penistone half were sold for between £2,090 and £3,170 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; 1,063 for S36, Penistone.

    • Property price map for Penistone

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

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

    Will S36 house prices drop in 2025?

    House prices in S36 fell -6.3% in the last year, -9.2% 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 S36 (Penistone) compared with the wider postcode area 'S'.You can extrapolate from this based on your own views.

    House price index for S36

    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 'S36' property prices over the last 20 years. The index is calculated from the average price paid per sqm for property in S36 and is set to 100 in 2004. The chart compares trends for S36, Penistone against those of the broader postcode area 'S'. 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 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 S36
    S area S36 district
    Nominal Real Nominal Real
    20 yr per annum 2.5% -0.3% 2.3% -0.5%
    20 yr total 63.0% -6.5% 56.5% -10.2%
    10 yr per annum 3.9% 0.5% 3.3% -0.1%
    10 yr total 46.5% 5.0% 38.4% -0.8%
    5 yr per annum 3.3% -1.6% 1.0% -3.8%
    5 yr total 17.5% -7.9% 5.0% -17.7%
    1 yr per annum 1.6% -1.5% -6.3% -9.2%
    1 yr total 1.6% -1.5% -6.3% -9.2%

    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, S36 district have seen a -0.5% annual change when adjusted for inflation. This translates to a total change of -10.2% in real terms.
    • Over the past 5 years, S36 district have seen a -3.8% annual change when adjusted for inflation. This translates to a total change of -17.7% in real terms.

    Most recent S36 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
    Sheffield Road, , S36 6H 74 sqm £2,024 32
    Smithy Moor Avenue, , S36 1F 73 sqm £2,594 29
    Manchester Road, , S36 2R 90 sqm £1,988 29
    Manchester Road, , S36 9Q 94 sqm £2,278 25
    Samuel Fox Avenue, , S36 2A 86 sqm £3,229 25
    Haywood Lane, , S36 2Q 89 sqm £2,454 21
    Green Road, , S36 6B 91 sqm £2,100 18
    The Rookery, , S36 2N 110 sqm £3,033 16

    Search for your street here.

    Nearby geographies

    The table below shows how 'S36' compares to the other postcode districts nearby 'S36'.

    District Lower quartile Median Upper quartile Sales in last 2yr
    SK13 Glossop £2,510 sqm £3,020 sqm £3,600 sqm 968
    S9 Sheffield £1,670 sqm £2,050 sqm £2,390 sqm 509
    S81 Worksop £1,910 sqm £2,350 sqm £2,680 sqm 1,380
    S80 Worksop £1,240 sqm £1,880 sqm £2,500 sqm 995
    S8 Sheffield £2,380 sqm £2,950 sqm £3,550 sqm 1,321
    S75 Darton £2,000 sqm £2,500 sqm £3,070 sqm 1,310
    S74 Hoyland £1,540 sqm £1,930 sqm £2,490 sqm 452
    S73 Wombwell £1,400 sqm £1,850 sqm £2,450 sqm 906
    S72 Cudworth £1,500 sqm £1,970 sqm £2,480 sqm 774
    S71 Royston £1,540 sqm £2,050 sqm £2,570 sqm 1,132

    Raw data

    Our analysis of S36 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
    22, Clarel St, £205,000
    Mar-2026
    		 112 1,830
    1, Cull Row, £160,000
    Mar-2026
    		 44 3,636
    329, Manchester Rd, £277,500
    Mar-2026
    		 93 2,983

    See the entire list of all sales in S36 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.