The Data Observatory
The NRLA Data Observatory is a collection of official and other well-established data sources which when combined, provide a narrative of the Private Rented Sector (PRS). The NRLA tracks approximately 45 key data sets which are updated monthly, quarterly and annually. A selection of these appear in these pages.
Our Deep Insight blog provides a regular extension of the analysis which appears here, as well as those datasets which are not published in the Data Observatory section of this website.
The blog pages also features blog posts from other organisations and academics to provide insight on the PRS. Here you can also find more in-depth summaries of our regular reports and surveys.
Table 1: Total posession claims, England & Wales
- Since 2005 private landlord claims have risen, 2019 saw the largest number of claims in the period covered by the chart.
- The growth in landlord claims contrasts with a recent decline in total claims – from 170,000 in 2013, to 111,000 in 2019.
- Nonetheless, landlord claims (England & Wales) in 2019 were over 24,000 whilst in 2005, they numbered just over 19,000 – so this is hardly a dramatic increase in the volume of activity: the PRS has grown from around 12% of households to around 20% in the same time period.
Table 2: Analysis of possession claims and repossessions
- NOTE: due to the ban on possessions first introduced in March 2020, there has been no available data for average wait times since Q1 2020.
- Repossession waiting times - that is the time between the initial claim for repossession and bailiff enforcement - have shown no decrease over the last 10 years.
- The mean and median times have lingered around the mid-twenty and 16 week mark respectively.
- The mean time for repossession has been recorded as high as 31.4 weeks (2011).
- The feasible target waiting time of ten weeks- calculated from the Civil Procedure Rules for possession action- has not been achieved for even one quarter in this study period.
- For a more detailed explanation of our 10 week target figure please visit our insight page.