In my view (and unfortunately) house prices in this great country are driven by Affordability, which is one’s ability to service debt at current interest rates, and not by Value. This is one reason why I’ve never bought a home, and now don’t intend to buy, choosing instead to move overseas. So when/if salaries increase, the price of debt decreases and/or the government provides ‘help’ we can expect house prices to rise. Let me demonstrate with one simple example showing how just one of these affects prices – average house prices vs average employee earnings:
For me, clearly mistakenly, I’ve always been more focused on Value. With this in mind every year at around this time I preparing a house Valuation metric that goes beyond that generally presented by the mainstream media by getting more granular and trying to Value housing at County level. For completeness last year’s efforts can be seen here and you can track back to previous years from there.
My definition of Value is simply how many years of gross earnings (median and average) are required to buy an average house. This is a simple average Price to Earnings Ratio (P/E) and is not unlike how some might value a company share.
For House Prices I am using average house prices as published by the Land Registry. This is calculated by using:
The Valuation analysis is arranged according to the Regions and County’s defined by the Land Registry and is shown in the Table below. Unlike the mainstream media I am calling high house prices bad (unsurprisingly the County with the highest house price is London at £534,785 and is shown in dark red) and low house prices good (the County with the lowest house price is Blaenau Gwent at £69,384 and is dark green) with all other prices shaded between red and green depending on house price.
Click to enlarge, Average house prices vs average employee earnings (in England and Wales at County level)
For me, clearly mistakenly, I’ve always been more focused on Value. With this in mind every year at around this time I preparing a house Valuation metric that goes beyond that generally presented by the mainstream media by getting more granular and trying to Value housing at County level. For completeness last year’s efforts can be seen here and you can track back to previous years from there.
My definition of Value is simply how many years of gross earnings (median and average) are required to buy an average house. This is a simple average Price to Earnings Ratio (P/E) and is not unlike how some might value a company share.
For House Prices I am using average house prices as published by the Land Registry. This is calculated by using:
- The Land Registry House Price Index (HPI) dataset. This index uses repeat sales regression (RSR) on houses which have been sold more than once to calculate an increase or decrease. As it analyses each house and compares the latest buying price to the previous buying price it is by definition mix adjusting its data also. It uses all residential property transactions made in England and Wales since January 1995 so covers buyers using both cash and mortgages.
- Average prices are then calculated by taking Geometric Mean Prices (as opposed to an arithmetic mean), to reduce the influence of individual values, from April 2000 and adjusting these prices in accordance with the Index changes. They are seasonally adjusted. I am using the latest published data which comes from March 2016.
The Valuation analysis is arranged according to the Regions and County’s defined by the Land Registry and is shown in the Table below. Unlike the mainstream media I am calling high house prices bad (unsurprisingly the County with the highest house price is London at £534,785 and is shown in dark red) and low house prices good (the County with the lowest house price is Blaenau Gwent at £69,384 and is dark green) with all other prices shaded between red and green depending on house price.