House prices in DA (Dartford)
This article shows price per square metre data and various charts to help you understand the housing market in DA - stats were last calculated on 03 December 2024.
Defining postcode area 'DA'
This analysis is limited to properties whose postcode starts with "DA", this is also called the postcode area. There are no official postcode area names so I've just labelled it DA, Dartford. It is shown in red on the map below.
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Price per square metre
Knowing the average house price in DA 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 October 2024, 51, Wallhouse Road, Dartford, DA8 2JT sold for £325,000. Given the internal area of 58 square metres recorded on the EPC, the price per sqm is £325,000 ÷ 58 sqm = £5,603.
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 ;-). It is a huge pain to code the automatic conversion for square meters to square feet for all the graphs and charts on DA and elsewhere. All the conditionals turn my tidy code for into spaghetti. I will get around to it at some point, but for now you can just divide everything by 10 in your head, move a decimal place and you'll be close enough. If you want to be more precise 1 sqm = 10.76391 sqft.
Distribution of £ per sqm for houses vs flats in DA
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 DA To make this chart we put all the sales data into a series of £ per sqm 'buckets' (e.g. £4,800 to £5,000, £5,000 to £5,200, £5,200 to £5,400 etc...) we then count the number of sales with within in each bucket and plot the results. The histogram is based on 3,604 sales that took place in DA 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 DA, Dartford. Notably, only 25% of properties that sold recently were valued at more than £5,390 sqm. For anything to be valued more than this means it has to be more desireable than the clear majority of DA homes.
Box plot of £ per sqm for DA
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. DA. The chart above shows a boxplot for 'DA' 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.
Property price map for Dartford
Have a look at the interactive price map I created for myself. Use it to explore postcode area 'DA' house prices all the way down to individual property plots.
Price trends
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 DA split by property type. You can extrapolate from this based on your own views on future interest rates, inflation and other factors.
House price index for DA
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 'DA' property prices over the last 20 years. The index is calculated from the average price paid per sqm for property in DA and is set to 100 in 2004. The chart compares trends for Flats vs Houses in DA. 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 DA
Flats | Houses | |||
---|---|---|---|---|
Nominal | Real | Nominal | Real | |
20 yr per annum | 2.6% | -0.1% | 4.1% | 1.4% |
20 yr total | 65.9% | -1.7% | 123.2% | 32.2% |
10 yr per annum | 2.9% | 0.1% | 4.5% | 1.7% |
10 yr total | 33.4% | 1.3% | 55.8% | 18.3% |
5 yr per annum | 0.9% | -3.1% | 3.2% | -0.8% |
5 yr total | 4.6% | -14.4% | 17.3% | -4.0% |
1 yr per annum | -2.3% | -6.3% | 0.1% | -3.9% |
1 yr total | -2.3% | -6.3% | 0.1% | -3.9% |
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, Flats have seen a -0.1% annual change when adjusted for inflation. This translates to a total change of -1.7% in real terms.
- Over the past 5 years, Flats have seen a -3.1% annual change when adjusted for inflation. This translates to a total change of -14.4% in real terms.
Nearby geographies
The table below shows how 'DA' compares to the other postcode areas nearby 'DA'.
Area | Lower quartile | Median | Upper quartile | Sales in last 1yr |
---|---|---|---|---|
TN- Tunbridge Wells | £3,470 sqm | £4,190 sqm | £5,000 sqm | 6,662 |
SE- South East London | £5,290 sqm | £6,450 sqm | £7,760 sqm | 7,235 |
RM- Romford | £4,120 sqm | £4,720 sqm | £5,370 sqm | 3,985 |
ME- Medway | £3,150 sqm | £3,740 sqm | £4,350 sqm | 5,866 |
DA- Dartford | £3,940 sqm | £4,610 sqm | £5,390 sqm | 3,604 |
BR- Bromley | £4,840 sqm | £5,530 sqm | £6,330 sqm | 2,687 |
Raw data
Our analysis of DA 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 |
---|---|---|---|
51, Wallhouse Rd, | £325,000
Oct-2024
|
58 | 5,603 |
8, Campion Close, | £325,000
Oct-2024
|
56 | 5,803 |
25, Lisle Close, | £410,000
Oct-2024
|
64 | 6,406 |
Search the entire list of all sales 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.