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Request
We seek the following information on racist hate crimes and/or hate incidents towards the following ethnic groups:
- Chinese
- East Asian
- South East Asian
- Asian
- "Oriental"
- Mainland China, Hong Kong, Macau, Taiwan, Japan, Mongolia, North Korea, and South Korea, Thailand, Vietnam, Malaysia, Singapore, the Philippines, Laos, Indonesia, Brunei, Burma (Myanmar), Cambodia and Timor-Leste
- Or any that had such appearance (set out above) (The “Relevant Groups”)
And would like data for the following years, broken down by each month:
- 2017
- 2018
- 2021
- 2022
- 2023 (for this year, up until the FOI response date or whatever are the most recent statistics).
Request
Provide the number of racist hate crimes and/or hate incidents reported where the victim(s) comprise of the Relevant Groups, broken down by each group where possible.
Please provide the data for my request in an Excel spreadsheet format with suggested row headings by year and month, with column headings:
- Month
- Year
- Number of hate crimes
- Number of hate incidents
- Ethnicity/ethnic appearance
Response
The Crime Management Data Returns Administrator provided the below.
The Connect System is used to record complaints or allegations of those matters, which the Home Office specify should be recorded as ‘crime’.
They provided the below data and the following explanation of their search criteria:
Please find the dataset attached for FOI 23.010557.
Criteria Used
Crime - SYP & crime only filter, Incident Created Date is between 01/01/2018 and 31/12/2023, Racial Indicator is equal to / is in Y, Person Role is equal to / is in VICTIM, Nationality is equal to Chinese, Chinese (Hong Kong), Taiwanese, Japanese, Mongolian, Korean (South), Thai, Vietnamese, Malaysian, Singaporean, Indonesian, Bruneian, Burmese, Cambodian or Ethnicity Self is equal to Chinese, Any Other Asian Background, White And Asian or Ethnic Appearance is equal to Chinese, Japanese or South East Asian, Asian or Country of Birth is equal to China (People's Rep. Of), Hong Kong, Macau (Macao), Taiwan (Republic of China), Japan, Mongolia, North Korea, South Korea, Thailand, Vietnam, Malaysia, Singapore, Philippines, Laos, Indonesia, Brunei Darussalam, Burma / Myanmar, Cambodia, East Timor
Non-Crime -Criteria Used - SYP & non-crime filter, Incident Created Date is between 01/01/2018 and 31/12/2023, Racial Indicator is equal to / is in Y, Person Role is equal to / is in VICTIM, Nationality is equal to Chinese, Chinese (Hong Kong), Taiwanese, Japanese, Mongolian, Korean (South), Thai, Vietnamese, Malaysian, Singaporean, Indonesian, Bruneian, Burmese, Cambodian or Ethnicity Self is equal to Chinese, Any Other Asian Background, White And Asian or Ethnic Appearance is equal to Chinese, Japanese or South East Asian, Asian or Country of Birth is equal to China (People's Rep. Of), Hong Kong, Macau (Macao), Taiwan (Republic of China), Japan, Mongolia, North Korea, South Korea, Thailand, Vietnam, Malaysia, Singapore, Philippines, Laos, Indonesia, Brunei Darussalam, Burma / Myanmar, Cambodia, East Timor
Q1- Count of Crime
|
Count of Crime |
||||||
|
Crime Recorded Month |
2018 |
2019 |
2020 |
2021 |
2022 |
2023 |
|
Jan |
28 |
22 |
48 |
45 |
55 |
58 |
|
Feb |
22 |
22 |
56 |
51 |
57 |
53 |
|
Mar |
40 |
43 |
64 |
68 |
56 |
63 |
|
Apr |
25 |
33 |
41 |
65 |
67 |
77 |
|
May |
58 |
36 |
59 |
65 |
63 |
64 |
|
Jun |
52 |
36 |
66 |
60 |
60 |
61 |
|
Jul |
39 |
41 |
74 |
93 |
62 |
56 |
|
Aug |
51 |
38 |
85 |
73 |
77 |
64 |
|
Sep |
26 |
43 |
70 |
68 |
49 |
75 |
|
Oct |
38 |
27 |
63 |
81 |
78 |
67 |
|
Nov |
27 |
42 |
64 |
78 |
45 |
56 |
|
Dec |
33 |
43 |
58 |
53 |
58 |
50 |
Count of Victim
|
Victim Self Defined Ethnicity |
2018 |
2019 |
2020 |
2021 |
2022 |
2023 |
|
African |
0 |
0 |
1 |
3 |
0 |
1 |
|
Any Other Asian Background |
103 |
106 |
202 |
242 |
182 |
217 |
|
Any Other Black Background |
1 |
1 |
2 |
2 |
2 |
1 |
|
Any Other Ethnic Group |
9 |
11 |
26 |
8 |
10 |
11 |
|
Any Other Mixed Background |
8 |
3 |
15 |
22 |
8 |
12 |
|
Any Other White Background |
2 |
1 |
2 |
4 |
1 |
1 |
|
Arab |
0 |
0 |
0 |
0 |
1 |
3 |
|
Bangladeshi |
7 |
3 |
16 |
11 |
9 |
8 |
|
Caribbean |
0 |
1 |
0 |
1 |
1 |
1 |
|
Chinese |
15 |
17 |
57 |
52 |
31 |
65 |
|
Indian |
37 |
33 |
41 |
60 |
71 |
64 |
|
Not Recorded |
43 |
38 |
22 |
22 |
15 |
10 |
|
Not stated |
76 |
58 |
80 |
93 |
136 |
88 |
|
Pakistani |
119 |
130 |
249 |
235 |
219 |
225 |
|
White And Asian |
19 |
22 |
31 |
42 |
38 |
36 |
|
White And Black African |
0 |
0 |
0 |
0 |
1 |
0 |
|
White And Black Caribbean |
0 |
0 |
0 |
0 |
1 |
0 |
|
White British |
2 |
2 |
4 |
3 |
2 |
1 |
Q2 - Non Crime
|
Count of Crime |
||||||
|
Crime Recorded Month |
2018 |
2019 |
2020 |
2021 |
2022 |
2023 |
|
Jan |
1 |
3 |
4 |
7 |
8 |
5 |
|
Feb |
5 |
2 |
2 |
8 |
7 |
7 |
|
Mar |
0 |
8 |
6 |
9 |
3 |
7 |
|
Apr |
2 |
3 |
2 |
12 |
2 |
6 |
|
May |
3 |
6 |
5 |
7 |
5 |
11 |
|
Jun |
3 |
1 |
5 |
10 |
3 |
1 |
|
Jul |
1 |
6 |
10 |
5 |
4 |
8 |
|
Aug |
2 |
4 |
5 |
2 |
3 |
5 |
|
Sep |
1 |
5 |
3 |
5 |
4 |
4 |
|
Oct |
2 |
3 |
6 |
1 |
3 |
7 |
|
Nov |
4 |
2 |
9 |
3 |
5 |
4 |
|
Dec |
2 |
4 |
6 |
5 |
5 |
1 |
Count of Victim
|
Row Labels |
2018 |
2019 |
2020 |
2021 |
2022 |
2023 |
|
African |
0 |
0 |
2 |
0 |
0 |
0 |
|
Any Other Asian Background |
6 |
13 |
14 |
16 |
15 |
23 |
|
Any Other Ethnic Group |
1 |
0 |
0 |
1 |
0 |
1 |
|
Any Other Mixed Background |
0 |
1 |
1 |
0 |
0 |
0 |
|
Arab |
0 |
0 |
0 |
0 |
1 |
0 |
|
Bangladeshi |
0 |
0 |
3 |
1 |
1 |
0 |
|
Chinese |
0 |
2 |
7 |
4 |
3 |
2 |
|
Indian |
4 |
3 |
5 |
4 |
1 |
4 |
|
Not Recorded |
0 |
2 |
2 |
1 |
1 |
0 |
|
Not stated |
8 |
5 |
5 |
10 |
10 |
9 |
|
Pakistani |
5 |
19 |
21 |
32 |
18 |
25 |
|
White And Asian |
2 |
2 |
2 |
3 |
3 |
4 |
|
White British |
0 |
0 |
1 |
2 |
0 |
0 |
Please note, every effort is made to ensure that the figures presented are accurate and complete. However, it is important to note that data has been extracted from data sources used by this force for police purposes. The detail collected to respond specifically to your request is subject to the inaccuracies inherent in any large scale recording systems and information assets.
The figures provided therefore are our best interpretation of relevance of data to your request, but you should be aware that the collation of figures/data for any requests may have limitations, and this should be taken into account when those data are used.
Police forces do not use generic systems or identical procedures for capturing the data. For these reasons this response to your questions should not be used for comparison purposes with responses you may receive from other police forces.