Police National Computer proxy for knife-enabled offenders
Published 7 April 2026
Applies to England and Wales
1. Introduction
The Home Office collects police recorded crime (PRC) data on selected violent and sexual offences involving a knife or sharp instrument (knife-enabled crime), and these are published quarterly by the Office for National Statistics (ONS), with the underlying data published by the Home Office. These include offences where a knife or sharp instrument has been used to injure a victim, attempt to injure, or used as a threat. This includes offences where the weapon may not have been seen, but was believed to be present, at the time of the offence by the victim or another witness (ONS Crime in England and Wales).
The National Data Quality Improvement Service (NDQIS) uses a computer-assisted classification tool to determine whether an offence involved a knife or sharp instrument (methodology published by the ONS). There are 7 offences that can be ‘flagged’ as a knife-enabled offence (assault with injury and assault with intent to cause serious harm, robbery, threats to kill, homicide, attempted murder, rape, sexual assault), with the majority consisting of knife-enabled assault and knife-enabled robbery.
The police recorded crime data is ‘victim-oriented’ and therefore contains limited data on suspects. The Police National Computer (PNC) database, which is a large administrative database containing information about police cautions and court convictions held by individual offenders in England and Wales, contains much more comprehensive information on offenders. This dataset captures cautions and convictions for knife possession offences (as reported in Ministry of Justice’s Knife and Offensive Weapons Sentencing statistics - these capture offenders cautioned and convicted for specific possession and threat offences, most of which are possession.
These are not the same as knife-enabled offences, and there is no crossover between these offences and PRC knife-enabled offences). Unlike police recorded crime data, there is no knife-enabled flag for the crime types in the PNC, so accurate offender data for knife-enabled crime is not available.
2. Description of measure
This analysis explores an experimental method for estimating information about offenders cautioned and convicted for offences that could be knife-enabled using the PNC dataset. This estimate is based on analysis of PNC data, and selects offenders who have been cautioned or convicted for:
- an offence of possession of a knife, bladed article, or offensive weapon (henceforth collectively referred to in this report as knife possession offences)
- any of the 7 offences that appear in the published police recorded crime knife-enabled offences data (robbery, assault with injury and assault with intent to cause serious harm, threats to kill, homicide, attempted murder, rape, sexual assault)
- that these offence types occurred on the same date
The possession offences are used in the absence of a knife-enabled flag on PNC and instead create a ‘proxy’ flag used to identify possible knife-enabled offences. Where a knife possession offence has been recorded for the same date as one of the 7 PRC knife crime offence types, it is inferred that this could have been a knife-enabled version of that offence.
This proxy for knife-enabled offenders will differ from the knife-enabled police recorded crime statistics published by ONS as only a minority of offences will result in an offender being brought to justice, and so volumes will be much smaller[footnote 1]. Both this proxy knife-enabled offender measure and the Ministry of Justice’s knife and offensive weapon sentencing statistics are derived from the PNC. However, only a subset of those with knife and offensive weapons offences will have a concurrent violent or sexual offence and be included in this measure; therefore the proxy knife-enabled offender cohort will be a subset of this group and so volumes will be smaller.
3. Key findings
The data shows:
- in 2023 (the last complete year for which data is currently available), 9,106 offenders were convicted of, or cautioned for, a knife possession offence and one of the 7 knife crime offences committed on the same day (henceforth referred to as proxy knife-enabled offenders)
Across the 6-year period analysed:
- 50% of proxy knife-enabled offenders were cautioned or convicted for knife-enabled assault, and 40% for knife-enabled robbery, together making up 90% of the cohort
- most proxy knife-enabled offenders (95%) were male; this was similar for knife-enabled robbery (97%) and knife-enabled assault (94%)
- a quarter (25%) of proxy knife-enabled offenders were juveniles (aged 17 and under); this was a higher proportion for knife-enabled robbery (31%) than for knife-enabled assault (22%)
- about two-thirds of proxy knife-enabled offenders were White (68%), but Black offenders were disproportionately over-represented (21%) compared to the general population in the Census; this was similar for knife-enabled robbery and knife-enabled assault
4. Data notes and limitations
The data used for this analysis comes from a static subset of PNC data, known as the National Policing – Home Office Research and Development (NPHORD) dataset, created in August 2024. It contains records of cautions and convictions in the UK, but this analysis only includes offences recorded in England and Wales. The PNC dataset is an administrative dataset and was not collected for statistical analysis purposes. Administrative datasets can involve revisions to the data over time and errors in data processing. The dataset has been processed and quality assured for analytical purposes to mitigate these risks as far as possible.
The use of possession offences as a proxy for the knife flag has limitations. It is not known how well the proxy aligns with actual knife-enabled crime. It is possible to result in false positives – cases where the offender had a knife on their person and this was found during arrest but was not used in the commission of the offence. These would still be included as a ‘proxy’ knife-enabled offender within this analysis. These would overestimate instances of knife crime and incorporate non-knife crime offenders. It is also possible to result in false negatives – cases where the offender has not been cautioned or convicted of a possession offence, but one was used in the commission of their offence. These would not be included as a ‘proxy’ knife-enabled offender within this analysis, and therefore may underestimate instances of knife crime and miss knife-enabled crime offenders.
The possession offences used in the analysis include both offences for possession of an article with a blade or point, and possession of offensive weapons (the latter of which can include knives such as zombie knives and ninja swords but will also capture other offensive weapons). Therefore, these offences may include offences that would not be knife-enabled under police recorded crime.
Additionally, as recording of knife possession offences is influenced by police activity such as Stop and Search, which is known to be used disproportionately for certain demographic groups (Home Office Police powers and procedures statistics), using knife possession offences as a proxy flag for knife-enabled crime may also bias the demographics in this analytical approach; for example, higher proportions of young people, males, and people from ethnic minority groups.
This means that, whilst able to provide estimates for knife-enabled offender data, these findings should be treated with caution as they are not officially recorded knife-enabled offender cases.
Due to the way in which the proxy knife-enabled offenders are identified, it is possible for an offender to have more than one of the 7 offence types that can be flagged as a police recorded knife crime on the same date. These offenders will only be counted once in Table 1, but in order to capture all possible types of knife-enabled offence, they may be captured in more than one category in Table 2. This means total volumes in Table 1 and Table 2 may not match.
There is missing demographic data in the dataset. Whilst all offenders will have a date of birth (and therefore a recorded age), other data such as ethnicity and sex may be incomplete. For ethnicity, the tables include where the information is unknown. For sex, unidentified data has been excluded from the table, and therefore volumes may not match those in other tables.
5. Tables
Table 1: Offender data by year for all possession offenders and proxy knife-enabled offenders
| Year | All possession offenders | Proxy knife-enabled offenders | |
|---|---|---|---|
| 2018 | 20,016 | 1,832 | |
| 2019 | 19,967 | 1,774 | |
| 2020 | 18,312 | 1,467 | |
| 2021 | 16,120 | 1,354 | |
| 2022 | 16,734 | 1,434 | |
| 2023 | 15,323 | 1,245 | |
| Total | 106,472 | 9,106 |
Table 2: Proxy knife-enabled offender data by type and by year
| Year | Proxy knife-enabled assault offenders | Proxy knife-enabled robbery offenders | Proxy knife-enabled other 5 offence types (low volume offences) offenders |
|---|---|---|---|
| 2018 | 898 | 861 | 150 |
| 2019 | 828 | 844 | 170 |
| 2020 | 779 | 613 | 137 |
| 2021 | 735 | 517 | 158 |
| 2022 | 785 | 519 | 183 |
| 2023 | 666 | 466 | 156 |
| Total | 4,691 | 3,820 | 954 |
Table 3: All proxy knife-enabled offenders - by sex by year (where sex identified)
| Year | Male | Female | |
|---|---|---|---|
| 2018 | 1,739 | 87 | |
| 2019 | 1,679 | 92 | |
| 2020 | 1,393 | 71 | |
| 2021 | 1,273 | 74 | |
| 2022 | 1,353 | 73 | |
| 2023 | 1,175 | 67 | |
| Total | 8,612 | 464 |
Table 4: All proxy knife-enabled offenders - by ethnicity by year (including unknown ethnicity)
| Year | White | Black | Asian | Unknown | Other |
|---|---|---|---|---|---|
| 2018 | 1,256 | 369 | 139 | 51 | 17 |
| 2019 | 1,224 | 365 | 118 | 44 | 23 |
| 2020 | 992 | 311 | 113 | 35 | 16 |
| 2021 | 920 | 287 | 84 | 45 | 18 |
| 2022 | 981 | 275 | 126 | 31 | 21 |
| 2023 | 834 | 274 | 93 | 28 | 16 |
| Total | 6,207 | 1,881 | 673 | 234 | 111 |
Table 5: All proxy knife-enabled offenders - by age by year
| Year | 10 to 17 | 18 to 24 | 25 to 29 | 30 to 39 | 40 to 49 | 50+ |
|---|---|---|---|---|---|---|
| 2018 | 472 | 496 | 253 | 363 | 167 | 81 |
| 2019 | 441 | 488 | 245 | 374 | 161 | 65 |
| 2020 | 357 | 394 | 212 | 292 | 130 | 82 |
| 2021 | 346 | 341 | 185 | 266 | 143 | 73 |
| 2022 | 332 | 347 | 190 | 322 | 145 | 98 |
| 2023 | 329 | 273 | 142 | 274 | 156 | 71 |
| Total | 2,277 | 2,339 | 1,227 | 1,891 | 902 | 470 |
Table 6: Proxy knife-enabled robbery offenders - by sex by year (where sex identified)
| Year | Male | Female |
|---|---|---|
| 2018 | 831 | 27 |
| 2019 | 810 | 32 |
| 2020 | 587 | 24 |
| 2021 | 503 | 14 |
| 2022 | 507 | 11 |
| 2023 | 447 | 17 |
| Total | 3,685 | 125 |
Table 7: Proxy knife-enabled robbery offenders - by ethnicity by year (including unknown ethnicity)
| Year | White | Black | Asian | Unknown | Other |
|---|---|---|---|---|---|
| 2018 | 575 | 192 | 65 | 25 | 4 |
| 2019 | 592 | 166 | 57 | 22 | 7 |
| 2020 | 419 | 139 | 32 | 16 | 7 |
| 2021 | 357 | 117 | 30 | 9 | 4 |
| 2022 | 366 | 108 | 30 | 9 | 6 |
| 2023 | 314 | 107 | 27 | 9 | 9 |
| Total | 2,623 | 829 | 241 | 90 | 37 |
Table 8: Proxy knife-enabled robbery offenders - by age by year
| Year | 10 to 17 | 18 to 24 | 25 to 29 | 30 to 39 | 40 to 49 | 50+ |
|---|---|---|---|---|---|---|
| 2018 | 277 | 200 | 113 | 182 | 68 | 21 |
| 2019 | 256 | 221 | 105 | 185 | 67 | 10 |
| 2020 | 199 | 153 | 84 | 101 | 59 | 17 |
| 2021 | 151 | 128 | 69 | 101 | 55 | 13 |
| 2022 | 147 | 134 | 71 | 105 | 47 | 15 |
| 2023 | 149 | 93 | 50 | 106 | 54 | 14 |
| Total | 1,179 | 929 | 492 | 780 | 350 | 90 |
Table 9: Proxy knife-enabled assault offenders - by sex by year (where sex identified)
| Year | Male | Female |
|---|---|---|
| 2018 | 843 | 53 |
| 2019 | 770 | 55 |
| 2020 | 735 | 42 |
| 2021 | 679 | 49 |
| 2022 | 732 | 48 |
| 2023 | 624 | 41 |
| Total | 4,383 | 288 |
Table 10: Proxy knife-enabled assault offenders - by ethnicity by year (including unknown ethnicity)
| Year | White | Black | Asian | Unknown | Other |
|---|---|---|---|---|---|
| 2018 | 622 | 172 | 69 | 23 | 12 |
| 2019 | 570 | 165 | 59 | 19 | 15 |
| 2020 | 526 | 154 | 72 | 18 | 9 |
| 2021 | 500 | 145 | 44 | 32 | 14 |
| 2022 | 539 | 138 | 77 | 17 | 14 |
| 2023 | 455 | 136 | 54 | 15 | 6 |
| Total | 3,212 | 910 | 375 | 124 | 70 |
Table 11: Proxy knife-enabled assault offenders - by age by year
| Year | 10 to 17 | 18 to 24 | 25 to 29 | 30 to 39 | 40 to 49 | 50 to 59 |
|---|---|---|---|---|---|---|
| 2018 | 194 | 268 | 130 | 170 | 88 | 48 |
| 2019 | 178 | 235 | 127 | 159 | 86 | 43 |
| 2020 | 159 | 209 | 124 | 176 | 58 | 53 |
| 2021 | 177 | 187 | 105 | 140 | 77 | 49 |
| 2022 | 164 | 185 | 103 | 185 | 82 | 66 |
| 2023 | 157 | 149 | 80 | 146 | 94 | 40 |
| Total | 1,029 | 1,233 | 669 | 976 | 485 | 299 |
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The Home Office also publish other ad hoc statistical releases on knife-enabled robbery for a subset of forces. This uses Management Information from the police recorded crime dataset, and is unrelated to this ad hoc statistical release. ↩