Average annual net housing completions in London boroughs (2020/21 - 2022/23)
What does this indicator show?
This indicator shows the number of net housing completions in London boroughs, on average, per year. This means the number of new homes built, minus the number of old homes demolished. We can also see how many of the new homes built in each borough are affordable, social or discounted, and how many are built for the private market.
What does it tell us?
Across the whole of London, on average, there were 37,768 new homes added to the housing stock in London between 2020/21 and 2022/23. A majority (69%) were for the private market and an average of only 1148 completions per-year were made for social rented properties.
The boroughs completing the most new homes were Tower Hamlets, Brent and Newham. However, boroughs vary greatly in both their size and in the availability of development opportunities. Boroughs are set targets in the London Plan for how many homes they should be delivering each year and this figure gives a sense of the potential for new buildings in each borough. Eight boroughs met their London Plan housing targets during the period 2020/21 to 2022/23: Tower Hamlets, Brent, Croydon, Hammersmith and Fulham, Westminster, Waltham Forest, Sutton and City of London.
Which boroughs are building the most affordable homes?
Average annual completions of below-market housing in London boroughs (2020/21 - 2022/23)
Newham is the borough that completed the most new homes available at below market value - 1,242 per year. About 20% of these - 236 - were social rented homes. Brent completed the second most new homes available at below market value (1,128 per year) but none of these were social rent.
At the other end of the scale, the City of London completed just three homes per year at below market value, followed by Richmond upon Thames (34) and Kingston upon Thames (48).
Want to know more?
If you want to explore this data in more depth, check the 'data source and notes' button on the above charts. This will tell you where the data comes from, where you may be able to dig deeper.