Top ten Mortgage Lenders

While we can only draw finite conclusions from these figures, the results give us a good picture of which areas are warming. Below is a chart showing the percent changes in the value of mortgage loans due in the postcodes of London, with the district name superimposed for better reference. In W1U 1, the largest rise in percent is 81%, although according to London standard the overall rise of just over 4 million pounds is rather small (the overall amount for mortgage loans here is only 9.5 million pounds).

The HM Land Registry's fee-based record shows that this new loan corresponds to 28 transactions in the region, with an avarage deal value of £1.4 million. 3 percent appreciation in the value of loans due. £144m in new loans, out of a combined £430m in postal codes.

There were 903 deals during the period that the mortgage information was covering, with an intersection of £476,000, according to HM Land Registry. To give some more details on the areas with the biggest growth, in the following table I have given a synopsis of the 10 most important postal code areas by percentages and relative growth rates of mortgage loans between the second quarters of 2013 and 2014.

The majority of postal code areas in Chart 1 show a strong percent rise, but a fairly small overall rise in the London residential area. On the other hand, as shown in Chart 2, more than 50 million of new loans were granted in seven quarterly periods in these areas. With more credit information coming out, we will be able to get a better idea of the rising mortgage credit hot spots across London.

Combining this with HM land register information on property that has been auctioned provides some extra useful connections. Nevertheless, as this is the London residential property sector, with off-plan selling, a high number of payers and industrial investment, part of the business is not covered by the pricing information.

Moreover, mortgage information does not currently include all loans, but seven commercial mortgage lenders and three fourths of the total mortgage credit area. Nevertheless, by studying credit and selling pattern, we can begin to pursue tops and valleys locally in new ways. This could be a useful complement to the housing instrumentkit and at the same time underscore the value of open information to improve our insight of the business.