House prices in 'FY6 7', Poulton-Le-Fylde

Defining 'FY6 7'

This analysis is limited to properties whose postcode starts with "FY6 7", this is also called the postcode sector. There are no official postcode sector names so I've just labelled it FY6 7, Poulton-Le-Fylde. 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.

Distribution of £ per sqm for 'FY6 7' vs 'FY6'

The chart above is called a histogram, it helps you see the distribution of house price per sqm in FY6 7 To make this chart we put all the sales data into a series of £ per sqm 'buckets' (e.g. £2,350 to £2,500, £2,500 to £2,650, £2,650 to £2,800 etc...) we then count the number of sales with within in each bucket and plot the results. The histogram is based on 392 sales that took place in FY6 7, Poulton-Le-Fylde 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 FY6 7, Poulton-Le-Fylde. Notably, only 25% of properties that sold recently were valued at more than £2,900 sqm. For anything to be valued more than this means it has to be more desireable than the clear majority of FY6 7 homes.

Box plot of £ per sqm for FY6 7

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. Poulton-Le-Fylde. The chart above shows a boxplot for 'FY6 7' as well as the 'FY6' postcode district.

Property price map for Poulton-Le-Fylde

Have a look at the interactive price map I created for myself. Use it to explore 'FY6 7' house prices all the way down to individual property plots.

House price map for Poulton-Le-Fylde

Poulton-Le-Fylde house price forecasting

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 FY6 7 (Poulton-Le-Fylde) compared with the wider postcode district of FY6. You can extrapolate from this based on your own views on future interest rates, inflation and other factors.

House price index for FY6 7

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 'FY6 7' property prices over the last 20 years. The index is calculated from the average price paid per sqm for property in FY6 7 and is set to 100 in 2004. I'm comparing the trends for FY6 7,Poulton-Le-Fylde with the wider postcode district of FY6 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 Wyre 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

Historic returns for FY6 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, FY6 district have seen a -0.9% annual change when adjusted for inflation. This translates to a total change of -16.0% in real terms.
• Over the past 5 years, FY6 7 sector have seen a 0.4% annual change when adjusted for inflation. This translates to a total change of 2.2% in real terms.

Most recent FY6 7 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

Nearby geographies

The table below shows how 'FY6 7' compares to the other postcode sectors in FY6.

Raw data

Our analysis of FY6 7 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.

See the entire list of all sales in FY6 7 here.