Let’s start with some stats.
- Since 1998, the ratio of average house prices to average earnings has more than doubled.*
- During 2015, the cost of an average London home increased more than £22 an hour during each working week.*
- In 2015, the average home in the South East of England increased in value by £29,000, which is £4458 more than the average annual pay in the region.*
Housing affordability issues are affecting large parts of the population. So it’s no surprise that there is substantial interest in where the most and least affordable places to live are, for citizens and policymakers alike.
The ONS recently published some analysis on housing affordability, which uses 2016 house price data and 2013 / 2014 household income data. Inspired by ONS analysis, and the availability of more recent small area weekly income data, we have constructed a series of datasets (8 in total) around the relative affordability of buying a house in any given area. All of which are available in our Local Insight and Community Insight tools.
Explore the data for your local areas
Our housing affordability indicators have been added to more than 700 other neighbourhood level datasets, already preloaded into Local Insight.
Local Insight provides up-to-date local level data, matched to the communities that you care about; whether that is wards, GP localities or school catchment areas.
And gives you instant access to neighbourhood level data, visualised on maps, dashboards and in reports.
Explore housing affordability and more in Local Insight and
- delve into the affordability data for your local areas
- quickly and easily compare how your local communities fare on affordability issues
- see how your local areas fit into the national picture
- gain insight to help monitor and develop your housing policies.
More on the data: Housing affordability data for average house prices
We have produced four measures around housing affordability for average house prices at output area (OA) level through combining data from Land Registry Price Paid Data from December 2015 to November 2016 with small area estimated weekly income data from the ONS.
This gives a much finer level of granularity than data directly available from ONS on housing affordability in local areas. Data at this level can give insights into local differences and housing inequalities at very small level, such as neighbouring streets for example.
However, given that these are very small areas, this data may contain some anomalies, due to the very low number of sales in some areas (which is why multiple months worth of transaction data was included). This could potentially mean that the data is more prone to being distorted by expensive pockets of housing if it contains them, and may not be representative of the local area as a whole.
Housing affordability data for entry level properties
We have also produced housing affordability indicators for entry level properties. These give a useful insight to the local picture for first time buyers, and can contribute to the overall picture of sustainable and good growth in a local area.
Creating these indicators using underlying OA level data for the whole country, would be very tricky as it relies upon at least 4 entry level properties being sold within each output area. Instead for these indicators, we have used MSOA level Land Registry Price Paid data as the underlying data.
For each of the indicators outlined below, we have produced datasets both for average house prices and entry level house prices (defined as house prices in the lower quartile for a particular local area) for England.
- Affordability gap: This is the difference between the average house price and 4.5 times the average annual salary. The higher the amount, the more unaffordable housing is in that area. The figure 4.5 is used as this is typically the amount that mortgage providers are prepared to lend.
- Estimated savings required: This is an estimate of the upfront costs to take out a mortgage on a house in the area, based only on area house prices. It represents a 15% deposit (assumed as a typical amount) on the total value of the house and stamp duty.
- Required savings to salary ratio: A very rough estimate (it does not take any living or other costs into account) of the number of months one would have to save an average salary to afford to take out a mortgage in the area.
- Total price to annual income ratio: A very rough estimate (again, no other costs are taken into account) of the number of years it would take for someone on an average salary to afford to buy a house in their area outright.
We’ll be putting another post together shortly on some of the headline stories we picked out from the data – keep your eyes peeled!
We would also love to know the local stories you find for the areas you work in. To explore this data (and a whole heap more!), sign up for a free trial of Local Insight.
Image credit: https://www.flickr.com/photos/[email protected]/5474802142
* Statistics taken from the DCLG Housing white paper – https://www.gov.uk/government/publications/fixing-our-broken-housing-market