Aylesbury North Ward, England
Unitary Authority Ward located within Buckinghamshire
Land Area: 222.289 Hectares
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Crime in Aylesbury North Ward
Feb 2024 13 2 3 9 61 11 4 11 3 1 7 2 17 4 148 Jan 2024 9 7 3 8 59 27 14 14 4 5 2 2 26 2 182 Dec 2023 7 4 1 9 64 22 6 22 10 8 0 1 15 5 174 Nov 2023 13 6 2 8 71 31 11 10 10 1 1 2 12 2 180 Oct 2023 18 2 3 6 102 33 13 13 8 10 6 2 28 2 246 Sep 2023 20 4 2 10 82 25 8 15 7 3 1 1 22 1 201 Aug 2023 14 4 4 9 75 28 12 9 1 3 2 0 22 3 186 Jul 2023 14 4 2 3 63 35 8 10 5 8 5 1 22 6 186 Jun 2023 10 1 2 8 58 23 9 11 10 3 3 3 26 2 169 May 2023 5 3 1 9 82 22 13 12 13 9 2 1 26 4 202 Apr 2023 10 1 0 10 64 16 15 12 7 1 5 2 27 3 173 Mar 2023 20 6 1 8 72 22 14 14 7 3 5 1 33 3 209 Feb 2023 11 4 1 12 85 16 12 9 1 4 3 0 17 1 176 Jan 2023 20 4 1 6 86 36 25 10 3 4 2 2 26 1 226 Dec 2022 9 10 5 11 73 13 19 18 6 2 5 3 48 0 222 Nov 2022 25 4 1 27 80 15 16 8 12 2 7 5 31 2 235 Oct 2022 23 5 0 8 94 18 18 13 6 7 7 5 35 2 241 Sep 2022 6 3 0 15 80 11 15 12 3 4 4 0 27 2 182 Aug 2022 25 8 3 8 97 31 19 21 9 7 6 1 44 4 283 Jul 2022 21 8 0 9 73 27 18 10 5 1 4 1 43 6 226 Jun 2022 23 1 2 11 78 22 11 10 1 4 4 0 35 3 205 May 2022 19 5 2 8 65 12 12 13 13 7 4 1 32 3 196 Apr 2022 17 0 2 14 84 15 9 11 5 1 2 0 40 2 202 Mar 2022 14 1 1 6 75 14 17 5 15 3 5 1 29 2 188 Feb 2022 18 1 1 5 55 10 10 17 14 2 3 2 24 1 163 Jan 2022 10 3 0 9 62 6 6 10 9 1 5 2 26 1 150 Dec 2021 25 4 1 6 109 6 13 10 3 2 4 0 22 2 207 Nov 2021 22 2 3 10 76 13 13 8 7 3 2 1 39 3 202 Oct 2021 23 1 3 11 87 21 8 14 7 1 4 1 43 0 224 Sep 2021 22 6 1 15 83 10 17 15 6 5 3 2 33 1 219 Aug 2021 25 6 3 11 72 20 8 12 10 7 8 0 40 1 223 Jul 2021 26 0 1 4 76 20 16 8 18 5 2 2 51 2 231 Jun 2021 27 7 2 11 70 14 13 8 14 8 6 4 55 4 243 May 2021 25 2 0 7 42 9 13 13 5 1 2 0 22 1 142 Apr 2021 28 4 3 11 54 17 12 8 12 3 1 3 22 2 180 Mar 2021 28 1 3 6 42 23 14 9 4 1 0 1 18 1 151 Feb 2021 20 0 3 9 43 9 6 9 6 3 1 1 9 0 119 Jan 2021 16 3 0 7 54 13 8 9 12 1 1 0 20 3 147 Dec 2020 22 2 3 7 46 11 9 6 7 2 3 1 25 3 147 Nov 2020 25 0 1 8 54 15 5 7 15 0 4 3 18 1 156 Oct 2020 24 3 1 9 61 17 17 17 9 4 4 6 27 4 203 Sep 2020 24 2 0 5 48 7 11 14 4 6 5 5 15 0 146 Aug 2020 30 1 0 5 56 11 14 6 10 4 6 0 14 2 159 Jul 2020 18 4 0 2 79 20 13 13 6 3 4 3 22 4 191 Jun 2020 21 1 1 3 44 12 11 7 10 0 2 4 12 2 130 May 2020 15 5 1 3 43 8 8 12 11 2 3 1 3 1 116 Apr 2020 22 4 1 2 38 12 11 2 4 2 1 0 6 0 105 Mar 2020 32 27 3 6 51 9 17 9 7 1 11 1 18 5 197 Feb 2020 25 5 2 7 62 17 17 20 6 3 8 0 12 2 186 Jan 2020 21 6 2 8 50 13 12 15 4 6 6 0 14 3 160 Dec 2019 11 2 3 15 58 11 11 17 4 5 2 0 16 2 157 Nov 2019 23 6 1 9 59 18 23 17 6 4 5 1 21 1 194 Oct 2019 28 4 3 9 55 14 13 15 5 2 6 5 11 1 171 Sep 2019 31 7 0 5 50 19 15 15 8 8 4 1 15 1 179 Aug 2019 34 5 1 9 58 31 16 14 5 4 6 0 12 2 197 Jul 2019 48 7 2 9 61 25 17 14 5 4 6 1 8 9 216 Jun 2019 35 5 2 3 52 24 18 9 5 11 3 2 22 5 196 May 2019 26 4 0 5 58 17 28 10 8 7 6 2 7 1 179 Apr 2019 41 1 2 10 42 12 16 10 7 0 3 1 6 2 153 Mar 2019 23 6 0 6 59 22 18 15 3 2 9 5 9 3 180 Feb 2019 22 2 0 6 50 10 19 20 7 2 5 0 7 4 154 Jan 2019 26 3 6 2 42 11 19 8 9 3 1 1 9 4 144 Dec 2018 38 4 1 8 58 17 14 11 3 4 1 0 7 2 168 Nov 2018 29 11 0 12 75 17 13 13 8 3 6 0 10 7 204 Oct 2018 33 4 2 6 54 14 11 14 10 3 5 3 10 6 175 Sep 2018 30 7 1 8 57 22 6 12 2 10 1 2 8 0 166 Aug 2018 20 5 2 7 63 20 8 11 7 8 5 4 10 6 176 Jul 2018 31 6 3 7 51 38 12 12 3 9 2 1 8 2 185 Jun 2018 42 3 2 7 53 50 12 18 5 2 5 1 10 1 211 May 2018 43 4 1 4 60 35 15 22 2 3 6 1 9 4 209 Apr 2018 24 3 0 9 60 25 8 19 6 5 5 0 7 3 174 Mar 2018 24 2 0 5 49 24 16 4 1 3 11 2 9 2 152 Feb 2018 30 1 4 6 29 26 6 10 5 3 3 0 14 4 141 Jan 2018 42 5 1 6 54 26 15 18 6 12 8 8 7 2 210 Dec 2017 45 4 1 9 44 27 12 14 11 9 9 4 11 2 202 Nov 2017 40 3 6 15 67 31 15 18 2 24 6 3 12 5 247 Oct 2017 53 7 2 6 39 23 15 21 1 15 8 0 7 3 200 Sep 2017 35 1 2 7 49 23 15 12 1 8 3 1 9 5 171 Aug 2017 26 6 1 13 56 13 21 15 5 8 5 0 6 3 178 Jul 2017 15 7 2 6 60 38 15 12 5 12 5 1 4 1 183 Jun 2017 46 13 3 18 42 31 13 20 4 6 8 1 10 1 216 May 2017 47 15 1 15 46 25 20 19 3 8 6 2 3 1 211 Apr 2017 38 2 2 13 43 52 20 14 4 4 1 1 11 2 207 Mar 2017 36 6 3 18 40 59 29 16 6 4 6 3 12 3 241 Feb 2017 36 2 1 3 36 44 14 10 3 2 7 1 4 1 164 Jan 2017 24 6 2 5 54 40 14 9 4 3 6 2 9 3 181 Dec 2016 23 7 0 3 50 27 17 16 2 5 10 2 4 3 169 Nov 2016 17 15 1 5 36 35 15 8 5 4 12 4 7 0 164 Oct 2016 27 10 2 12 41 43 15 27 4 5 10 0 11 1 208 Sep 2016 30 0 1 4 42 30 13 6 2 4 4 1 9 6 152 Aug 2016 29 3 1 2 43 30 9 11 8 4 5 1 10 3 159 Jul 2016 30 7 2 9 47 42 18 8 4 3 7 0 7 0 184 Jun 2016 46 3 1 5 36 38 13 10 4 6 10 3 11 1 187 May 2016 42 5 2 6 59 22 20 16 2 5 8 1 6 0 194 Apr 2016 27 7 0 3 40 30 17 11 6 2 3 0 12 5 163 Mar 2016 30 3 2 8 37 29 15 18 6 0 3 1 8 1 161 Feb 2016 42 4 1 2 42 38 10 13 8 1 9 2 7 2 181 Jan 2016 41 3 1 4 74 51 12 7 12 2 9 2 7 1 226 Dec 2015 36 6 2 9 43 23 22 11 5 5 6 0 5 2 175 Nov 2015 46 2 0 8 44 33 18 14 4 3 9 2 12 2 197 Oct 2015 49 4 5 4 46 36 13 13 5 1 9 0 10 1 196 Sep 2015 52 2 0 4 49 28 15 15 4 4 7 1 10 1 192 Aug 2015 58 5 0 5 48 15 20 18 6 6 6 2 18 3 210 Jul 2015 48 5 2 4 56 27 17 18 4 2 12 2 13 3 213 Jun 2015 44 3 0 6 38 25 18 8 14 5 6 1 4 3 175 May 2015 37 6 0 13 36 19 15 13 6 3 5 2 13 3 171 Apr 2015 46 9 0 12 31 30 17 12 7 5 3 2 4 1 179 Mar 2015 47 6 2 10 28 29 13 18 10 7 5 5 9 2 191 Feb 2015 58 8 1 2 30 20 13 9 14 7 3 1 4 5 175 Jan 2015 65 10 0 8 33 24 11 15 5 5 4 0 3 2 185 Dec 2014 48 1 0 6 31 21 9 7 6 4 8 0 8 1 150 Nov 2014 41 3 0 6 42 27 9 11 13 2 6 0 3 1 164 Oct 2014 74 2 1 7 27 27 13 14 5 13 2 0 10 2 197 Sep 2014 46 5 0 1 23 20 15 13 4 4 2 1 8 2 144 Aug 2014 58 2 0 3 28 12 14 8 9 5 1 0 8 2 150 Jul 2014 87 5 0 2 20 10 8 11 4 3 3 2 5 1 161 Jun 2014 40 7 0 6 30 26 16 12 5 3 6 0 2 3 156 May 2014 47 4 0 3 20 18 8 6 6 5 4 0 3 2 126 Apr 2014 44 4 0 6 30 14 11 10 9 1 7 2 4 0 142 Mar 2014 32 10 0 7 35 21 12 12 5 0 7 0 13 2 156 Feb 2014 16 3 2 11 24 12 10 21 3 1 3 1 6 0 113 Jan 2014 33 7 1 8 29 25 11 21 4 0 3 1 12 3 158 Dec 2013 31 4 2 11 30 24 16 24 6 2 8 0 11 3 172 Nov 2013 32 4 0 8 34 28 25 19 8 0 9 2 15 3 187 Oct 2013 63 8 0 7 28 24 12 12 9 4 6 0 12 2 187 Sep 2013 29 9 1 2 25 19 9 20 6 5 5 0 9 3 142 Aug 2013 47 4 0 13 41 28 15 24 12 1 8 1 12 4 210 Jul 2013 66 5 2 4 37 26 20 35 7 5 5 0 5 2 219 Jun 2013 36 6 2 7 38 10 18 18 7 4 1 2 10 1 160 May 2013 25 5 2 4 40 21 18 25 8 2 28 2 16 2 198 Apr 2013 56 10 0 11 31 19 14 30 8 10 2 191 Mar 2013 34 3 1 2 30 11 22 29 7 14 1 154 Feb 2013 39 6 1 8 38 25 19 30 11 11 3 191 Jan 2013 34 5 2 5 32 19 19 28 7 14 2 167 Dec 2012 29 11 1 8 34 20 16 30 7 19 1 176 Nov 2012 23 5 1 1 32 25 22 34 5 10 6 164 Oct 2012 32 3 3 2 34 22 17 42 29 12 2 198 Sep 2012 28 4 1 4 21 21 16 39 8 9 3 154 Aug 2012 68 7 1 5 25 22 14 21 5 21 3 192 Jul 2012 59 6 1 4 16 17 12 23 8 11 1 158 Jun 2012 34 8 0 5 23 26 20 27 11 12 6 172 May 2012 44 9 2 5 24 18 8 31 3 6 3 153 Apr 2012 37 5 2 4 23 26 14 23 4 12 8 158 Mar 2012 47 9 2 5 24 23 24 31 6 14 10 195 Feb 2012 35 9 0 5 24 19 21 24 9 18 4 168 Jan 2012 51 8 1 5 26 21 17 22 10 6 3 170 Dec 2011 36 6 0 5 35 18 11 33 2 11 8 165 Nov 2011 51 9 0 6 26 28 12 28 7 20 7 194 Oct 2011 47 15 0 4 46 28 22 43 4 20 11 240 Sep 2011 63 9 2 16 25 15 15 35 7 12 4 203 Aug 2011 78 9 1 8 43 90 229 Jul 2011 81 6 0 7 34 99 227 Jun 2011 70 11 0 6 42 88 217 May 2011 59 8 2 8 36 78 191 Apr 2011 85 10 0 4 37 89 225 Mar 2011 76 8 0 7 42 99 232 Feb 2011 86 8 1 7 42 71 215 Jan 2011 32 5 2 3 52 74 168 Dec 2010 76 6 1 3 50 71 207
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However, we are aware of certain deficiencies in this data which are beyond our control. That's because as a 3rd party developer, we do not collect the data, the Police do who then hand it over to another data company to release to 3rd party developers such as ourselves. We only download and analyse it so that you can use it. For full detail of these deficiencies, please read here .
Crime Plus ASB Breakdown for Aylesbury North Ward
Crime Type and ASB Charts for Aylesbury North Ward
In September 2011, Other Crime was divided into 6 categories - Drugs, Public Disorder & Weapons (which was later split further and so is not displayed here), Criminal Damage & Arson (CD&A), Theft - Shoplifting, Theft-Other and Other.
From May 2013, the following changes were made to the crime categories:
