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FOOL'S EYE VIEW
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Every few days, we're bombarded with new data on the housing market, saying that the average price of a three-bedroomed house in Dorset has risen by 2% or something. It's reached a stage where the Government is concerned that it might be creating distortions in the market. So much so, apparently, that they're considering adding their own house price index to the general melee. It's hard to see how that might help matters! Anyway, if we're to make any sense of the surveys, then we need to know how they're cobbled together. The basic approach is to track the price of an 'average' house, but this hides a multitude of sins and the different surveys vary according to how they actually calculate this average and where the data comes from. I'm going to focus on the following surveys (full details of each survey can be found by following the links): The Land Registry And there's more about homeowning in the Fool's Homeowning Centre. Averages Simple average The simple option with averages, taken by the Land Registry (and Rightmove and Hometrack with slight adjustments), is just to take a straightforward average of everything in your data sample. This has the advantage of transparency, but the mix of properties might change between reporting periods. So you might get a load of expensive mansions selling in one period and a preponderance of cheap studio flats in the next. You'd get a falling average price, but it would be very misleading. Simple averages tend to get more reliable as the amount of data increases, since the chance of a significant change in mix is reduced. The national figures from the Land Registry should be pretty good, while the data for individual post code areas, where there may only be a handful of sales in a particular period, will be very unreliable. 'Mix-adjusted' average In an attempt to overcome the problem of a changing mix, some surveys, like the Nationwide and Halifax, have developed a 'mix-adjusted' price. This is designed to represent the changing price of a 'typical' property. Each transaction in the survey is labelled with a price and a series of defining characteristics -- such as location, type of property, floor size, number of bathrooms, number of bedrooms and so on. This data is then fed into a computer that spits out the price of a house with a particular set of characteristics that are thought to make it 'typical'. Note that the price of this typical house is not the same as the average price of a house. In fact, the average house price will tend to be higher than the price of the 'typical' house, since it's more heavily influenced by a small number of very expensive properties. If you remember your maths from school, the 'mix-adjusted', typical price is more like a median price than a mean price. Since they use slightly different 'typical' houses, Halifax and Nationwide will come up with slightly different figures each month (and they would do even if they used identical data). Seasonality The spring and summer tend to produce slightly higher prices than the rest of the year because, according to Nationwide, 'more buyers are in the market and hence sellers do not have to discount their prices so heavily, in order to achieve a sale'. (In fact, July is the strongest month, with 'raw' prices tending to be 1.3% ahead of their 'seasonally-adjusted' level. January is weakest, with 'raw' prices tending to be 1.9% below their seasonally-adjusted level.) So some surveys tweak their prices according to the time of year, to produce a seasonally-adjusted price. This should give a clearer picture if you're looking for the overall trend in prices over the last few years but happen to do so in the depths of winter. But if you're about to buy a house and want to know what prices are doing, then you'll be after actual prices even if they are a bit lower because it's the middle of winter. Source of data The Land Registry takes the simple approach of including all property transfers, but Nationwide and Halifax 'clean' their data to get rid of transactions that they think might cause distortions. For example, Nationwide excludes 'buy-to-let' properties and anything that's 'untypical' (for example, anything over £1m in price, anything that's not for fair market price and anything that's very large or very small). Nationwide and Halifax, by the way, source their data from the mortgages they provide on house purchases. Hence they exclude remortgages and properties bought without a mortgage. Hometrack generates its data from a list of 3,500 approved agents around the country. It then calculates a simple average price for each category of home. However, they do this from the 'average' prices provided to them by the different agents and they rely on the agents to account for things like a changing mix of properties. They probably do it quite well -- they are estate agents after all -- but it introduces a large dose of subjectivity. Rightmove uses the asking price for all the properties placed on its website by its 2,900 member estate agents (which, they estimate, represents 30% of the market at any time). So, if properties are tending to sell a little way below their asking price, as would be normal, then the price should tend to be overstated. One further point to make is that some people suspect that the different surveys may possess a degree of regional bias depending on where they're mostly based. Halifax, for example, is thought by some to have a northern bias, while Nationwide may have a bias towards the south. They both claim that they adjust for this, but not everyone is convinced. Rightmove also makes a regional adjustment (which it says is similar to the method used by Halifax). Timeliness of data The final point about data is not where it comes from, but when it comes. The Land Registry, for example, gets its data from the registration of completed property transactions -- which is pretty late in the day -- and it only produces the data quarterly. So you can reckon that it's a few months out of date by the time it arrives. Hometrack's data comes from the estate agents, so it depends a bit on what they're doing. Most likely, they're looking at completions, so the data is probably a little old. Rightmove's data is probably the newest since it's based on asking prices -- before a buyer has necessarily appeared on the horizon -- but that, of course, introduces its own problems. The Nationwide and Halifax surveys collect their data at the point of mortgage approvals. This means it should be very up to date, including sales that haven't actually completed yet. As with Rightmove, however, the problem is that it might just be a bit too quick and some of the deals that get included might never actually go through. All in all... In terms of transparency and knowing what you're looking at, you can't beat the Land Registry data, but you have to be careful how you interpret it. Nationwide and Halifax, on the other hand, adopt similar scientific approaches which probably give a clearer representation of the underlying picture -- but you have to take things on trust a little. The best solution is not to worry too much about the short-term trends. It may be useful to get an idea of how much your house might be worth, by comparing it to the house price data, to help with long-term financial planning or to help you work out what you can afford if you're thinking of moving. But trying to time house purchases and sales on the basis of the house price data is a complete waste of time. The data is pretty unreliable in itself but, in any case, the particular property you're looking at could be a long way from being 'average' -- or even 'typical'. Summary of the different surveys Land Registry Halifax Nationwide Hometrack Rightmove More: The Fool's Homeowning Centre
Halifax
Nationwide
Hometrack
RightmoveType of average: Simple
Seasonal adjustment?: No
Source of data: Completions
Cleaning? No
Frequency of survey: Quarterly
Type of average: Mix-adjusted
Seasonal adjustment?: Yes and No
Source of data: Mortgage Approvals
Cleaning? Yes
Frequency of survey: Monthly
Type of average: Mix-adjusted
Seasonal adjustment?: Yes and No
Source of data: Mortgage Approvals
Cleaning?: Yes
Frequency of survey: Monthly
Type of average: Simple
Seasonal adjustment?: up to source estate agents
Source of data: approved estate agents
Cleaning?: up to source estate agents
Frequency of survey: Monthly
Type of average: Simple
Seasonal adjustment?: No
Source of data: Asking prices
Cleaning?: Yes (a little)
Frequency of survey: Monthly