House prices in CF (Cardiff)
Price per square metre data and charts to help you understand the housing market in CF - stats were last calculated on 04 August 2026.
Defining postcode area 'CF'
This analysis is limited to properties whose postcode starts with "CF", this is also called the postcode area. There are no official postcode area names so I've just labelled it CF, Cardiff. 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 CF 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 June 2026, 3, Grawen Houses, Cardiff, CF48 2NL sold for £125,000. Given the internal area of 52 square metres recorded on the EPC, the price per sqm is £125,000 ÷ 52 sqm = £2,403.
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 CF 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 CF
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 CF To make this chart we put all the sales data into a series of £ per sqm 'buckets' (e.g. £2,645 to £2,834, £2,834 to £3,023, £3,023 to £3,212 etc...) we then count the number of sales with within in each bucket and plot the results. The histogram is based on 10,919 sales that took place in CF 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 CF, Cardiff. Notably, only 25% of properties that sold recently were valued at more than £3,410 sqm. For anything to be valued more than this means it has to be more desireable than the clear majority of CF homes.
Box plot of £ per sqm for CF
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. CF. The chart above shows a boxplot for 'CF' 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 CF. 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. If you want the functionality to generate bespoke charts get in touch as it is a feature I could add to the subscription service if enough people are interested.
Density distribution
Price per square metre distribution by property size
Shows the distribution of property prices per square metre in CF.
Distribution by property type
Price per square metre distribution by size and property type
Shows the distribution of different property types in CF.
Property price map for Cardiff
Have a look at the interactive price map I created for myself. Use it to explore house prices in 'Cardiff' all the way down to individual property plots.
Price trends
House prices in 'CF' Cardiff grew 2.9% in the last year, -0.3% after inflation. Whether or not this trend will continue depends on many factors. I cannot tell what house prices will do in the future and don't believe anyone who says they can. However we can plot price trends, I have done this in the chart below for postcode area 'CF' 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 CF
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 'CF' property prices over the last 20 years. The index is calculated from the average price paid per sqm for property in CF and is set to 100 in 2004. The chart compares trends for Flats vs Houses in CF. 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 CF
| All | Flats | Houses | ||||
|---|---|---|---|---|---|---|
| Nominal | Real | Nominal | Real | Nominal | Real | |
| 20 yr per annum | 2.7% | -0.1% | 1.9% | -0.9% | 2.8% | 0.0% |
| 20 yr total | 70.6% | -2.1% | 46.5% | -15.9% | 75.2% | 0.5% |
| 10 yr per annum | 4.2% | 0.8% | 3.0% | -0.3% | 4.4% | 1.0% |
| 10 yr total | 50.9% | 8.1% | 34.7% | -3.4% | 54.0% | 10.4% |
| 5 yr per annum | 3.7% | -1.3% | 2.4% | -2.4% | 3.8% | -1.1% |
| 5 yr total | 19.7% | -6.2% | 12.8% | -11.6% | 20.5% | -5.5% |
| 1 yr per annum | 2.9% | -0.3% | 0.8% | -2.3% | 3.1% | -0.0% |
| 1 yr total | 2.9% | -0.3% | 0.8% | -2.3% | 3.1% | -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, Houses have seen a 0.0% annual change when adjusted for inflation. This translates to a total change of 0.5% in real terms.
- Over the past 5 years, Houses have seen a -1.1% annual change when adjusted for inflation. This translates to a total change of -5.5% in real terms.
Snakes & Ladders
See the recent winners & losers in the CF property market. This is not deep analysis - it is a nosy, tabloid-style peek at the local property market.
CF's constituents
The analysis on this page encompasses the entirety of CF. If you want more granular analysis on different parts of CF, use these links.
| Postcode district | Lower quartile | Median | Upper quartile | Sales in last 2yr |
|---|---|---|---|---|
| CF10 Cardiff | £2,300 sqm | £2,670 sqm | £3,160 sqm | 560 |
| CF11 Cardiff | £2,460 sqm | £3,000 sqm | £3,650 sqm | 1,145 |
| CF14 Cardiff | £3,030 sqm | £3,640 sqm | £4,220 sqm | 2,039 |
| CF15 Radyr | £2,940 sqm | £3,550 sqm | £4,060 sqm | 484 |
| CF23 Pontprennau | £2,700 sqm | £3,370 sqm | £4,090 sqm | 1,079 |
| CF24 Cardiff | £2,350 sqm | £2,810 sqm | £3,290 sqm | 1,188 |
| CF3 St Mellons | £2,390 sqm | £2,970 sqm | £3,550 sqm | 1,190 |
| CF31 Brackla | £2,210 sqm | £2,680 sqm | £3,070 sqm | 1,296 |
| CF32 Ogmore Vale | £1,500 sqm | £1,920 sqm | £2,580 sqm | 824 |
| CF33 North Cornelly | £1,860 sqm | £2,300 sqm | £2,660 sqm | 344 |
| CF34 Maesteg | £1,160 sqm | £1,480 sqm | £1,880 sqm | 472 |
| CF35 Pencoed | £2,450 sqm | £2,870 sqm | £3,240 sqm | 584 |
| CF36 Porthcawl | £2,700 sqm | £3,270 sqm | £3,860 sqm | 519 |
| CF37 Pontypridd | £1,540 sqm | £1,850 sqm | £2,290 sqm | 1,028 |
| CF38 Beddau | £2,440 sqm | £2,920 sqm | £3,310 sqm | 597 |
| CF39 Tonyrefail | £1,250 sqm | £1,590 sqm | £2,110 sqm | 747 |
| CF40 Tonypandy | £1,100 sqm | £1,380 sqm | £1,710 sqm | 549 |
| CF41 Ton Pentre | £1,030 sqm | £1,360 sqm | £1,740 sqm | 286 |
| CF42 Treherbert | £1,020 sqm | £1,330 sqm | £1,630 sqm | 447 |
| CF43 Tylorstown | £910 sqm | £1,150 sqm | £1,410 sqm | 360 |
| CF44 Aberdare | £1,280 sqm | £1,740 sqm | £2,310 sqm | 1,087 |
| CF45 Mountain Ash | £1,110 sqm | £1,430 sqm | £1,780 sqm | 511 |
| CF46 Nelson | £1,370 sqm | £1,760 sqm | £2,450 sqm | 377 |
| CF47 Merthyr Tydfil | £1,240 sqm | £1,560 sqm | £2,030 sqm | 495 |
| CF48 Dowlais | £1,310 sqm | £1,710 sqm | £2,270 sqm | 600 |
| CF5 Cardiff | £2,560 sqm | £3,200 sqm | £3,850 sqm | 1,747 |
| CF61 Llantwit Major | £2,810 sqm | £3,280 sqm | £3,700 sqm | 237 |
| CF62 Barry | £2,400 sqm | £2,930 sqm | £3,440 sqm | 1,215 |
| CF63 Barry | £1,890 sqm | £2,230 sqm | £2,720 sqm | 656 |
| CF64 Penarth | £3,060 sqm | £3,660 sqm | £4,280 sqm | 1,104 |
| CF71 Cowbridge | £3,250 sqm | £3,780 sqm | £4,310 sqm | 304 |
| CF72 Llanharan | £2,570 sqm | £3,040 sqm | £3,440 sqm | 917 |
| CF81 Aberbargoed | £1,300 sqm | £1,650 sqm | £2,000 sqm | 362 |
| CF82 Ystrad Mynach | £1,850 sqm | £2,280 sqm | £2,840 sqm | 477 |
| CF83 Caerphilly | £2,050 sqm | £2,660 sqm | £3,310 sqm | 1,492 |
Nearby geographies
The table below shows how 'CF' compares to the other postcode areas nearby 'CF'.
| Area | Lower quartile | Median | Upper quartile | Sales in last 1yr |
|---|---|---|---|---|
| SA- Swansea | £1,620 sqm | £2,140 sqm | £2,740 sqm | 7,663 |
| NP- Newport | £1,890 sqm | £2,480 sqm | £3,210 sqm | 5,052 |
| LD- Llandrindod Wells | £2,140 sqm | £2,700 sqm | £3,130 sqm | 463 |
| CF- Cardiff | £1,880 sqm | £2,690 sqm | £3,410 sqm | 10,919 |
Raw data
Our analysis of CF 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 |
|---|---|---|---|
| 3, Grawen Houses, | £125,000
Jun-2026
|
52 | 2,403 |
| 14, Cottrell Rd, | £260,000
Jun-2026
|
68 | 3,823 |
| 5, West Rhondda Rd, | £113,000
Jun-2026
|
69 | 1,637 |
Search the raw data 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.