ONS · 9 periods · offences

Residential burglary (police-recorded): full history

PeriodValueStatusPublished inSource cell
Year ending March 2026
2025-04-012026-03-31
153,966FinalYear ending March 2026
23 July 2026
Table A5a · “Residential burglary (including Home and nonconnected buildings) [note 38,39]” × “Apr 2025 to Mar 2026” = 153966
Year ending March 2025
2024-04-012025-03-31
166,281FinalYear ending March 2026
23 July 2026
Table A5a · “Residential burglary (including Home and nonconnected buildings) [note 38,39]” × “Apr 2024 to Mar 2025” = 166281
Year ending March 2024
2023-04-012024-03-31
182,924FinalYear ending March 2026
23 July 2026
Table A5a · “Residential burglary (including Home and nonconnected buildings) [note 38,39]” × “Apr 2023 to Mar 2024” = 182924
Year ending March 2023
2022-04-012023-03-31
190,449FinalYear ending March 2026
23 July 2026
Table A5a · “Residential burglary (including Home and nonconnected buildings) [note 38,39]” × “Apr 2022 to Mar 2023” = 190449
Year ending March 2022
2021-04-012022-03-31
190,982FinalYear ending March 2026
23 July 2026
Table A5a · “Residential burglary (including Home and nonconnected buildings) [note 38,39]” × “Apr 2021 to Mar 2022” = 190982
Year ending March 2021
2020-04-012021-03-31
195,981FinalYear ending March 2026
23 July 2026
Table A5a · “Residential burglary (including Home and nonconnected buildings) [note 38,39]” × “Apr 2020 to Mar 2021” = 195981
Year ending March 2020
2019-04-012020-03-31
268,779FinalYear ending March 2026
23 July 2026
Table A5a · “Residential burglary (including Home and nonconnected buildings) [note 38,39]” × “Apr 2019 to Mar 2020” = 268779
Year ending March 2019
2018-04-012019-03-31
295,081FinalYear ending March 2026
23 July 2026
Table A5a · “Residential burglary (including Home and nonconnected buildings) [note 38,39]” × “Apr 2018 to Mar 2019” = 295081
Year ending March 2018
2017-04-012018-03-31
309,770FinalYear ending March 2026
23 July 2026
Table A5a · “Residential burglary (including Home and nonconnected buildings) [note 38,39]” × “Apr 2017 to Mar 2018” = 309770