卡迪夫 (Cardiff)还是曼彻斯特 (Manchester)：数据为本的城市比较
卡迪夫 (Cardiff)的样本区域价格中点低 £14,285，两地分别为 £259,000 和 £273,285。
城市样本
卡迪夫 (Cardiff)样本有 6 个区域及 6,638 宗完成交易，曼彻斯特 (Manchester)样本有 11 个区域及 9,158 宗交易。
较富裕的 8 到 10 级占卡迪夫 (Cardiff)已匹配邮编单位的 42.6%，在曼彻斯特 (Manchester)则为 19.0%。样本中间区域的运营学校数分别为 0 所和 13 所。
成交价范围
样本共有 6,638 宗完成交易，区域中位价的中点为 £259,000，最低和最高区域中位价为 £178,000 和 £335,000。
样本共有 9,158 宗完成交易，区域中位价的中点为 £273,285，最低和最高区域中位价为 £200,000 和 £412,000。
CF10
- 成交中位价
- £178,000
- 成交平均价
- £331,832
- 已记录成交
- 453 (24 months)
How this was counted
Postcode district. non-deleted recorded sales in preceding 24 months.
CF11
- 成交中位价
- £235,000
- 成交平均价
- £280,325
- 已记录成交
- 980 (24 months)
How this was counted
Postcode district. non-deleted recorded sales in preceding 24 months.
CF14
- 成交中位价
- £335,000
- 成交平均价
- £374,795
- 已记录成交
- 1,732 (24 months)
How this was counted
Postcode district. non-deleted recorded sales in preceding 24 months.
CF23
- 成交中位价
- £285,000
- 成交平均价
- £359,409
- 已记录成交
- 930 (24 months)
How this was counted
Postcode district. non-deleted recorded sales in preceding 24 months.
CF24
- 成交中位价
- £238,000
- 成交平均价
- £316,573
- 已记录成交
- 1,027 (24 months)
How this was counted
Postcode district. non-deleted recorded sales in preceding 24 months.
CF5
- 成交中位价
- £280,000
- 成交平均价
- £317,133
- 已记录成交
- 1,516 (24 months)
How this was counted
Postcode district. non-deleted recorded sales in preceding 24 months.
M1
- 成交中位价
- £240,000
- 成交平均价
- £434,828
- 已记录成交
- 367 (24 months)
How this was counted
Postcode district. non-deleted recorded sales in preceding 24 months.
M14
- 成交中位价
- £237,500
- 成交平均价
- £372,911
- 已记录成交
- 649 (24 months)
How this was counted
Postcode district. non-deleted recorded sales in preceding 24 months.
M19
- 成交中位价
- £273,200
- 成交平均价
- £285,121
- 已记录成交
- 694 (24 months)
How this was counted
Postcode district. non-deleted recorded sales in preceding 24 months.
M20
- 成交中位价
- £348,550
- 成交平均价
- £408,668
- 已记录成交
- 1,200 (24 months)
How this was counted
Postcode district. non-deleted recorded sales in preceding 24 months.
M21
- 成交中位价
- £410,000
- 成交平均价
- £441,489
- 已记录成交
- 653 (24 months)
How this was counted
Postcode district. non-deleted recorded sales in preceding 24 months.
M25
- 成交中位价
- £290,500
- 成交平均价
- £319,023
- 已记录成交
- 650 (24 months)
How this was counted
Postcode district. non-deleted recorded sales in preceding 24 months.
M3
- 成交中位价
- £273,285
- 成交平均价
- £315,854
- 已记录成交
- 1,541 (24 months)
How this was counted
Postcode district. non-deleted recorded sales in preceding 24 months.
M33
- 成交中位价
- £375,750
- 成交平均价
- £421,561
- 已记录成交
- 1,398 (24 months)
How this was counted
Postcode district. non-deleted recorded sales in preceding 24 months.
M4
- 成交中位价
- £245,000
- 成交平均价
- £307,965
- 已记录成交
- 788 (24 months)
How this was counted
Postcode district. non-deleted recorded sales in preceding 24 months.
M50
- 成交中位价
- £200,000
- 成交平均价
- £347,645
- 已记录成交
- 359 (24 months)
How this was counted
Postcode district. non-deleted recorded sales in preceding 24 months.
WA14
- 成交中位价
- £412,000
- 成交平均价
- £541,900
- 已记录成交
- 859 (24 months)
How this was counted
Postcode district. non-deleted recorded sales in preceding 24 months.
已记录犯罪构成
Police.uk 在 2025-07 to 2026-06 记录样本区域共 36,784 宗报案，指定严重犯罪类别占 36.6%。
Police.uk 在 2018-07 to 2019-06 记录样本区域共 60,335 宗报案，指定严重犯罪类别占 34.4%。
CF10
- 已报犯罪，12 个月
- 8,826
- 指定严重犯罪类别占比
- 3,052 (34.6%)
How this was counted
Postcode district. Police.uk anonymised coordinates assigned to nearest Code-Point Open centroid; selected-category share is not an official severity rate.
CF11
- 已报犯罪，12 个月
- 5,382
- 指定严重犯罪类别占比
- 1,866 (34.7%)
How this was counted
Postcode district. Police.uk anonymised coordinates assigned to nearest Code-Point Open centroid; selected-category share is not an official severity rate.
CF14
- 已报犯罪，12 个月
- 5,164
- 指定严重犯罪类别占比
- 1,838 (35.6%)
How this was counted
Postcode district. Police.uk anonymised coordinates assigned to nearest Code-Point Open centroid; selected-category share is not an official severity rate.
CF23
- 已报犯罪，12 个月
- 3,020
- 指定严重犯罪类别占比
- 1,164 (38.5%)
How this was counted
Postcode district. Police.uk anonymised coordinates assigned to nearest Code-Point Open centroid; selected-category share is not an official severity rate.
CF24
- 已报犯罪，12 个月
- 7,685
- 指定严重犯罪类别占比
- 2,865 (37.3%)
How this was counted
Postcode district. Police.uk anonymised coordinates assigned to nearest Code-Point Open centroid; selected-category share is not an official severity rate.
CF5
- 已报犯罪，12 个月
- 6,707
- 指定严重犯罪类别占比
- 2,671 (39.8%)
How this was counted
Postcode district. Police.uk anonymised coordinates assigned to nearest Code-Point Open centroid; selected-category share is not an official severity rate.
M1
- 已报犯罪，12 个月
- 13,789
- 指定严重犯罪类别占比
- 3,718 (27.0%)
How this was counted
Postcode district. Police.uk anonymised coordinates assigned to nearest Code-Point Open centroid; selected-category share is not an official severity rate.
M14
- 已报犯罪，12 个月
- 7,915
- 指定严重犯罪类别占比
- 3,529 (44.6%)
How this was counted
Postcode district. Police.uk anonymised coordinates assigned to nearest Code-Point Open centroid; selected-category share is not an official severity rate.
M19
- 已报犯罪，12 个月
- 4,407
- 指定严重犯罪类别占比
- 1,840 (41.8%)
How this was counted
Postcode district. Police.uk anonymised coordinates assigned to nearest Code-Point Open centroid; selected-category share is not an official severity rate.
M20
- 已报犯罪，12 个月
- 5,555
- 指定严重犯罪类别占比
- 2,227 (40.1%)
How this was counted
Postcode district. Police.uk anonymised coordinates assigned to nearest Code-Point Open centroid; selected-category share is not an official severity rate.
M21
- 已报犯罪，12 个月
- 3,059
- 指定严重犯罪类别占比
- 1,116 (36.5%)
How this was counted
Postcode district. Police.uk anonymised coordinates assigned to nearest Code-Point Open centroid; selected-category share is not an official severity rate.
M25
- 已报犯罪，12 个月
- 3,180
- 指定严重犯罪类别占比
- 1,165 (36.6%)
How this was counted
Postcode district. Police.uk anonymised coordinates assigned to nearest Code-Point Open centroid; selected-category share is not an official severity rate.
M3
- 已报犯罪，12 个月
- 6,276
- 指定严重犯罪类别占比
- 1,989 (31.7%)
How this was counted
Postcode district. Police.uk anonymised coordinates assigned to nearest Code-Point Open centroid; selected-category share is not an official severity rate.
M33
- 已报犯罪，12 个月
- 4,607
- 指定严重犯罪类别占比
- 1,966 (42.7%)
How this was counted
Postcode district. Police.uk anonymised coordinates assigned to nearest Code-Point Open centroid; selected-category share is not an official severity rate.
M4
- 已报犯罪，12 个月
- 7,409
- 指定严重犯罪类别占比
- 1,735 (23.4%)
How this was counted
Postcode district. Police.uk anonymised coordinates assigned to nearest Code-Point Open centroid; selected-category share is not an official severity rate.
M50
- 已报犯罪，12 个月
- 1,163
- 指定严重犯罪类别占比
- 378 (32.5%)
How this was counted
Postcode district. Police.uk anonymised coordinates assigned to nearest Code-Point Open centroid; selected-category share is not an official severity rate.
WA14
- 已报犯罪，12 个月
- 2,975
- 指定严重犯罪类别占比
- 1,121 (37.7%)
How this was counted
Postcode district. Police.uk anonymised coordinates assigned to nearest Code-Point Open centroid; selected-category share is not an official severity rate.
样本区域的富裕程度
合并邮编单位的中位数为 10 级中的 6 级。1 是较贫困的一端，10 是较富裕的一端，42.6% 位于 8 到 10 级。
合并邮编单位的中位数为 10 级中的 4 级。1 是较贫困的一端，10 是较富裕的一端，19.0% 位于 8 到 10 级。
CF10
- IMD 十分位中位数
- 6.0 / 10
- 第 1–3 十分位邮编单位
- 24.7%
- 第 8–10 十分位邮编单位
- 7.6%
How this was counted
Postcode district. distribution of WIMD 2025 deciles at Code-Point postcode centroids; Wales only.
CF11
- IMD 十分位中位数
- 4.0 / 10
- 第 1–3 十分位邮编单位
- 45.9%
- 第 8–10 十分位邮编单位
- 25.3%
How this was counted
Postcode district. distribution of WIMD 2025 deciles at Code-Point postcode centroids; Wales only.
CF14
- IMD 十分位中位数
- 9.0 / 10
- 第 1–3 十分位邮编单位
- 8.1%
- 第 8–10 十分位邮编单位
- 74.8%
How this was counted
Postcode district. distribution of WIMD 2025 deciles at Code-Point postcode centroids; Wales only.
CF23
- IMD 十分位中位数
- 9.0 / 10
- 第 1–3 十分位邮编单位
- 16.4%
- 第 8–10 十分位邮编单位
- 64.9%
How this was counted
Postcode district. distribution of WIMD 2025 deciles at Code-Point postcode centroids; Wales only.
CF24
- IMD 十分位中位数
- 3.0 / 10
- 第 1–3 十分位邮编单位
- 51.3%
- 第 8–10 十分位邮编单位
- 4.5%
How this was counted
Postcode district. distribution of WIMD 2025 deciles at Code-Point postcode centroids; Wales only.
CF5
- IMD 十分位中位数
- 7.0 / 10
- 第 1–3 十分位邮编单位
- 37.9%
- 第 8–10 十分位邮编单位
- 45.0%
How this was counted
Postcode district. distribution of WIMD 2025 deciles at Code-Point postcode centroids; Wales only.
M1
- IMD 十分位中位数
- 2.0 / 10
- 第 1–3 十分位邮编单位
- 70.6%
- 第 8–10 十分位邮编单位
- 1.0%
How this was counted
Postcode district. distribution of official IMD25 postcode assignments; England only.
M14
- IMD 十分位中位数
- 3.0 / 10
- 第 1–3 十分位邮编单位
- 67.6%
- 第 8–10 十分位邮编单位
- 0.1%
How this was counted
Postcode district. distribution of official IMD25 postcode assignments; England only.
M19
- IMD 十分位中位数
- 2.0 / 10
- 第 1–3 十分位邮编单位
- 78.9%
- 第 8–10 十分位邮编单位
- 2.3%
How this was counted
Postcode district. distribution of official IMD25 postcode assignments; England only.
M20
- IMD 十分位中位数
- 7.0 / 10
- 第 1–3 十分位邮编单位
- 24.8%
- 第 8–10 十分位邮编单位
- 41.0%
How this was counted
Postcode district. distribution of official IMD25 postcode assignments; England only.
M21
- IMD 十分位中位数
- 6.0 / 10
- 第 1–3 十分位邮编单位
- 17.7%
- 第 8–10 十分位邮编单位
- 11.2%
How this was counted
Postcode district. distribution of official IMD25 postcode assignments; England only.
M25
- IMD 十分位中位数
- 5.0 / 10
- 第 1–3 十分位邮编单位
- 24.7%
- 第 8–10 十分位邮编单位
- 20.7%
How this was counted
Postcode district. distribution of official IMD25 postcode assignments; England only.
M3
- IMD 十分位中位数
- 3.0 / 10
- 第 1–3 十分位邮编单位
- 51.1%
- 第 8–10 十分位邮编单位
- 11.6%
How this was counted
Postcode district. distribution of official IMD25 postcode assignments; England only.
M33
- IMD 十分位中位数
- 9.0 / 10
- 第 1–3 十分位邮编单位
- 6.4%
- 第 8–10 十分位邮编单位
- 62.2%
How this was counted
Postcode district. distribution of official IMD25 postcode assignments; England only.
M4
- IMD 十分位中位数
- 4.0 / 10
- 第 1–3 十分位邮编单位
- 42.9%
- 第 8–10 十分位邮编单位
- 15.1%
How this was counted
Postcode district. distribution of official IMD25 postcode assignments; England only.
M50
- IMD 十分位中位数
- 3.0 / 10
- 第 1–3 十分位邮编单位
- 69.4%
- 第 8–10 十分位邮编单位
- 14.8%
How this was counted
Postcode district. distribution of official IMD25 postcode assignments; England only.
WA14
- IMD 十分位中位数
- 9.0 / 10
- 第 1–3 十分位邮编单位
- 5.2%
- 第 8–10 十分位邮编单位
- 81.0%
How this was counted
Postcode district. distribution of official IMD25 postcode assignments; England only.
学校
指定区域共有 0 所运营中的学校，中间区域有 0 所。
指定区域共有 297 所运营中的学校，中间区域有 13 所。
CF10
- 正在运营的学校
- 0 ()
How this was counted
Postcode district. open GIAS establishments grouped by registered postcode district.
CF11
- 正在运营的学校
- 0 ()
How this was counted
Postcode district. open GIAS establishments grouped by registered postcode district.
CF14
- 正在运营的学校
- 0 ()
How this was counted
Postcode district. open GIAS establishments grouped by registered postcode district.
CF23
- 正在运营的学校
- 0 ()
How this was counted
Postcode district. open GIAS establishments grouped by registered postcode district.
CF24
- 正在运营的学校
- 0 ()
How this was counted
Postcode district. open GIAS establishments grouped by registered postcode district.
CF5
- 正在运营的学校
- 0 ()
How this was counted
Postcode district. open GIAS establishments grouped by registered postcode district.
M1
- 正在运营的学校
- 60 (16 plus: 3, All-through: 1, Nursery: 1, Primary: 47, Secondary: 8)
How this was counted
Postcode district. open GIAS establishments grouped by registered postcode district.
M14
- 正在运营的学校
- 11 (16 plus: 1, Primary: 8, Secondary: 2)
How this was counted
Postcode district. open GIAS establishments grouped by registered postcode district.
M19
- 正在运营的学校
- 10 (Primary: 8, Secondary: 2)
How this was counted
Postcode district. open GIAS establishments grouped by registered postcode district.
M20
- 正在运营的学校
- 13 (Primary: 10, Secondary: 3)
How this was counted
Postcode district. open GIAS establishments grouped by registered postcode district.
M21
- 正在运营的学校
- 10 (Primary: 7, Secondary: 3)
How this was counted
Postcode district. open GIAS establishments grouped by registered postcode district.
M25
- 正在运营的学校
- 13 (Primary: 9, Secondary: 4)
How this was counted
Postcode district. open GIAS establishments grouped by registered postcode district.
M3
- 正在运营的学校
- 64 (Primary: 53, Secondary: 11)
How this was counted
Postcode district. open GIAS establishments grouped by registered postcode district.
M33
- 正在运营的学校
- 21 (Primary: 18, Secondary: 3)
How this was counted
Postcode district. open GIAS establishments grouped by registered postcode district.
M4
- 正在运营的学校
- 76 (Nursery: 1, Primary: 63, Secondary: 12)
How this was counted
Postcode district. open GIAS establishments grouped by registered postcode district.
M50
- 正在运营的学校
- 2 (Secondary: 2)
How this was counted
Postcode district. open GIAS establishments grouped by registered postcode district.
WA14
- 正在运营的学校
- 17 (16 plus: 1, Primary: 11, Secondary: 5)
How this was counted
Postcode district. open GIAS establishments grouped by registered postcode district.
绿地与户外运动
OS 在指定区域绘有 478 个绿地及户外运动地点，面积共 1,406.5 公顷，包括 100 个公园或花园。
OS 在指定区域绘有 427 个绿地及户外运动地点，面积共 944.8 公顷，包括 67 个公园或花园。
CF10
- 已分配的 OS 绿地地点
- 33
- 已分配地点面积
- 43.98 ha
- 公共公园或花园
- 11
How this was counted
Postcode district. OS Open Greenspace April 2026 site polygon geometric centroid assigned to nearest Code-Point Open postcode centroid.
CF11
- 已分配的 OS 绿地地点
- 66
- 已分配地点面积
- 234.37 ha
- 公共公园或花园
- 15
How this was counted
Postcode district. OS Open Greenspace April 2026 site polygon geometric centroid assigned to nearest Code-Point Open postcode centroid.
CF14
- 已分配的 OS 绿地地点
- 122
- 已分配地点面积
- 472.41 ha
- 公共公园或花园
- 20
How this was counted
Postcode district. OS Open Greenspace April 2026 site polygon geometric centroid assigned to nearest Code-Point Open postcode centroid.
CF23
- 已分配的 OS 绿地地点
- 76
- 已分配地点面积
- 196.54 ha
- 公共公园或花园
- 22
How this was counted
Postcode district. OS Open Greenspace April 2026 site polygon geometric centroid assigned to nearest Code-Point Open postcode centroid.
CF24
- 已分配的 OS 绿地地点
- 51
- 已分配地点面积
- 71.77 ha
- 公共公园或花园
- 10
How this was counted
Postcode district. OS Open Greenspace April 2026 site polygon geometric centroid assigned to nearest Code-Point Open postcode centroid.
CF5
- 已分配的 OS 绿地地点
- 130
- 已分配地点面积
- 387.40 ha
- 公共公园或花园
- 22
How this was counted
Postcode district. OS Open Greenspace April 2026 site polygon geometric centroid assigned to nearest Code-Point Open postcode centroid.
M1
- 已分配的 OS 绿地地点
- 7
- 已分配地点面积
- 3.08 ha
- 公共公园或花园
- 2
How this was counted
Postcode district. OS Open Greenspace April 2026 site polygon geometric centroid assigned to nearest Code-Point Open postcode centroid.
M14
- 已分配的 OS 绿地地点
- 57
- 已分配地点面积
- 74.91 ha
- 公共公园或花园
- 9
How this was counted
Postcode district. OS Open Greenspace April 2026 site polygon geometric centroid assigned to nearest Code-Point Open postcode centroid.
M19
- 已分配的 OS 绿地地点
- 40
- 已分配地点面积
- 78.77 ha
- 公共公园或花园
- 6
How this was counted
Postcode district. OS Open Greenspace April 2026 site polygon geometric centroid assigned to nearest Code-Point Open postcode centroid.
M20
- 已分配的 OS 绿地地点
- 59
- 已分配地点面积
- 222.09 ha
- 公共公园或花园
- 10
How this was counted
Postcode district. OS Open Greenspace April 2026 site polygon geometric centroid assigned to nearest Code-Point Open postcode centroid.
M21
- 已分配的 OS 绿地地点
- 50
- 已分配地点面积
- 184.87 ha
- 公共公园或花园
- 6
How this was counted
Postcode district. OS Open Greenspace April 2026 site polygon geometric centroid assigned to nearest Code-Point Open postcode centroid.
M25
- 已分配的 OS 绿地地点
- 0
- 已分配地点面积
- 0.00 ha
- 公共公园或花园
- 0
How this was counted
Postcode district. OS Open Greenspace April 2026 site polygon geometric centroid assigned to nearest Code-Point Open postcode centroid.
M3
- 已分配的 OS 绿地地点
- 20
- 已分配地点面积
- 6.10 ha
- 公共公园或花园
- 8
How this was counted
Postcode district. OS Open Greenspace April 2026 site polygon geometric centroid assigned to nearest Code-Point Open postcode centroid.
M33
- 已分配的 OS 绿地地点
- 104
- 已分配地点面积
- 209.41 ha
- 公共公园或花园
- 13
How this was counted
Postcode district. OS Open Greenspace April 2026 site polygon geometric centroid assigned to nearest Code-Point Open postcode centroid.
M4
- 已分配的 OS 绿地地点
- 9
- 已分配地点面积
- 9.24 ha
- 公共公园或花园
- 5
How this was counted
Postcode district. OS Open Greenspace April 2026 site polygon geometric centroid assigned to nearest Code-Point Open postcode centroid.
M50
- 已分配的 OS 绿地地点
- 2
- 已分配地点面积
- 16.28 ha
- 公共公园或花园
- 1
How this was counted
Postcode district. OS Open Greenspace April 2026 site polygon geometric centroid assigned to nearest Code-Point Open postcode centroid.
WA14
- 已分配的 OS 绿地地点
- 79
- 已分配地点面积
- 140.09 ha
- 公共公园或花园
- 7
How this was counted
Postcode district. OS Open Greenspace April 2026 site polygon geometric centroid assigned to nearest Code-Point Open postcode centroid.
洪水信息
Natural Resources Wales 在 6,564 个邮编中心点绘制洪水风险带。1,431 个位于已绘制范围：17 个高、70 个中及 1,344 个低。
环境署来源涵盖 21,665 个邮编单位，列有 7,625 个高风险、16,292 个中风险及 55,825 个低风险周边地址。
CF10
- 来源中的邮编中心点
- 631
- 位于已绘制洪水风险范围
- 238
- 最高已绘制风险：高／中／低
- 3 / 1 / 234
How this was counted
Postcode district. point-in-polygon classification of Code-Point postcode centroids against NRW Flood Risk Assessment Wales risk bands.
CF11
- 来源中的邮编中心点
- 868
- 位于已绘制洪水风险范围
- 710
- 最高已绘制风险：高／中／低
- 3 / 1 / 706
How this was counted
Postcode district. point-in-polygon classification of Code-Point postcode centroids against NRW Flood Risk Assessment Wales risk bands.
CF14
- 来源中的邮编中心点
- 1,658
- 位于已绘制洪水风险范围
- 167
- 最高已绘制风险：高／中／低
- 5 / 2 / 160
How this was counted
Postcode district. point-in-polygon classification of Code-Point postcode centroids against NRW Flood Risk Assessment Wales risk bands.
CF23
- 来源中的邮编中心点
- 910
- 位于已绘制洪水风险范围
- 90
- 最高已绘制风险：高／中／低
- 3 / 25 / 62
How this was counted
Postcode district. point-in-polygon classification of Code-Point postcode centroids against NRW Flood Risk Assessment Wales risk bands.
CF24
- 来源中的邮编中心点
- 1,054
- 位于已绘制洪水风险范围
- 74
- 最高已绘制风险：高／中／低
- 1 / 7 / 66
How this was counted
Postcode district. point-in-polygon classification of Code-Point postcode centroids against NRW Flood Risk Assessment Wales risk bands.
CF5
- 来源中的邮编中心点
- 1,443
- 位于已绘制洪水风险范围
- 152
- 最高已绘制风险：高／中／低
- 2 / 34 / 116
How this was counted
Postcode district. point-in-polygon classification of Code-Point postcode centroids against NRW Flood Risk Assessment Wales risk bands.
M1
- 来源中的邮编单位
- 4,306
- 有高风险周边地址的单位
- 317
- 有中风险周边地址的单位
- 663
How this was counted
Postcode district. sum of Environment Agency postcode source counts by outward postcode; counts concern areas around addresses, not a named property.
M14
- 来源中的邮编单位
- 1,091
- 有高风险周边地址的单位
- 165
- 有中风险周边地址的单位
- 337
How this was counted
Postcode district. sum of Environment Agency postcode source counts by outward postcode; counts concern areas around addresses, not a named property.
M19
- 来源中的邮编单位
- 801
- 有高风险周边地址的单位
- 111
- 有中风险周边地址的单位
- 186
How this was counted
Postcode district. sum of Environment Agency postcode source counts by outward postcode; counts concern areas around addresses, not a named property.
M20
- 来源中的邮编单位
- 1,133
- 有高风险周边地址的单位
- 101
- 有中风险周边地址的单位
- 212
How this was counted
Postcode district. sum of Environment Agency postcode source counts by outward postcode; counts concern areas around addresses, not a named property.
M21
- 来源中的邮编单位
- 738
- 有高风险周边地址的单位
- 37
- 有中风险周边地址的单位
- 103
How this was counted
Postcode district. sum of Environment Agency postcode source counts by outward postcode; counts concern areas around addresses, not a named property.
M25
- 来源中的邮编单位
- 809
- 有高风险周边地址的单位
- 53
- 有中风险周边地址的单位
- 100
How this was counted
Postcode district. sum of Environment Agency postcode source counts by outward postcode; counts concern areas around addresses, not a named property.
M3
- 来源中的邮编单位
- 4,464
- 有高风险周边地址的单位
- 544
- 有中风险周边地址的单位
- 831
How this was counted
Postcode district. sum of Environment Agency postcode source counts by outward postcode; counts concern areas around addresses, not a named property.
M33
- 来源中的邮编单位
- 1,611
- 有高风险周边地址的单位
- 66
- 有中风险周边地址的单位
- 149
How this was counted
Postcode district. sum of Environment Agency postcode source counts by outward postcode; counts concern areas around addresses, not a named property.
M4
- 来源中的邮编单位
- 5,155
- 有高风险周边地址的单位
- 481
- 有中风险周边地址的单位
- 779
How this was counted
Postcode district. sum of Environment Agency postcode source counts by outward postcode; counts concern areas around addresses, not a named property.
M50
- 来源中的邮编单位
- 256
- 有高风险周边地址的单位
- 4
- 有中风险周边地址的单位
- 27
How this was counted
Postcode district. sum of Environment Agency postcode source counts by outward postcode; counts concern areas around addresses, not a named property.
WA14
- 来源中的邮编单位
- 1,301
- 有高风险周边地址的单位
- 129
- 有中风险周边地址的单位
- 238
How this was counted
Postcode district. sum of Environment Agency postcode source counts by outward postcode; counts concern areas around addresses, not a named property.
空气质量
2024 年邮编单位加权年均二氧化氮为每立方米 12.4 微克。86.2% 高于世卫 10 微克指引，0.0% 达到或高于 40 微克。
2024 年邮编单位加权年均二氧化氮为每立方米 14.8 微克。93.9% 高于世卫 10 微克指引，0.0% 达到或高于 40 微克。
CF10
- 二氧化氮年平均中位数
- 16.3 µg/m³
- 高于 WHO 10 µg/m³ 的邮编单位
- 99.5%
- 达到或高于法定 40 µg/m³ 的邮编单位
- 0.0%
How this was counted
Postcode district. DEFRA PCM 2024 1 km modelled annual-mean NO2 looked up at each Code-Point Open postcode centroid; postcode-unit weighted district summary.
CF11
- 二氧化氮年平均中位数
- 12.3 µg/m³
- 高于 WHO 10 µg/m³ 的邮编单位
- 94.6%
- 达到或高于法定 40 µg/m³ 的邮编单位
- 0.0%
How this was counted
Postcode district. DEFRA PCM 2024 1 km modelled annual-mean NO2 looked up at each Code-Point Open postcode centroid; postcode-unit weighted district summary.
CF14
- 二氧化氮年平均中位数
- 11.1 µg/m³
- 高于 WHO 10 µg/m³ 的邮编单位
- 94.0%
- 达到或高于法定 40 µg/m³ 的邮编单位
- 0.0%
How this was counted
Postcode district. DEFRA PCM 2024 1 km modelled annual-mean NO2 looked up at each Code-Point Open postcode centroid; postcode-unit weighted district summary.
CF23
- 二氧化氮年平均中位数
- 11.9 µg/m³
- 高于 WHO 10 µg/m³ 的邮编单位
- 98.7%
- 达到或高于法定 40 µg/m³ 的邮编单位
- 0.0%
How this was counted
Postcode district. DEFRA PCM 2024 1 km modelled annual-mean NO2 looked up at each Code-Point Open postcode centroid; postcode-unit weighted district summary.
CF24
- 二氧化氮年平均中位数
- 15.2 µg/m³
- 高于 WHO 10 µg/m³ 的邮编单位
- 100.0%
- 达到或高于法定 40 µg/m³ 的邮编单位
- 0.0%
How this was counted
Postcode district. DEFRA PCM 2024 1 km modelled annual-mean NO2 looked up at each Code-Point Open postcode centroid; postcode-unit weighted district summary.
CF5
- 二氧化氮年平均中位数
- 9.9 µg/m³
- 高于 WHO 10 µg/m³ 的邮编单位
- 48.3%
- 达到或高于法定 40 µg/m³ 的邮编单位
- 0.0%
How this was counted
Postcode district. DEFRA PCM 2024 1 km modelled annual-mean NO2 looked up at each Code-Point Open postcode centroid; postcode-unit weighted district summary.
M1
- 二氧化氮年平均中位数
- 22.0 µg/m³
- 高于 WHO 10 µg/m³ 的邮编单位
- 100.0%
- 达到或高于法定 40 µg/m³ 的邮编单位
- 0.0%
How this was counted
Postcode district. DEFRA PCM 2024 1 km modelled annual-mean NO2 looked up at each Code-Point Open postcode centroid; postcode-unit weighted district summary.
M14
- 二氧化氮年平均中位数
- 14.6 µg/m³
- 高于 WHO 10 µg/m³ 的邮编单位
- 100.0%
- 达到或高于法定 40 µg/m³ 的邮编单位
- 0.0%
How this was counted
Postcode district. DEFRA PCM 2024 1 km modelled annual-mean NO2 looked up at each Code-Point Open postcode centroid; postcode-unit weighted district summary.
M19
- 二氧化氮年平均中位数
- 14.5 µg/m³
- 高于 WHO 10 µg/m³ 的邮编单位
- 100.0%
- 达到或高于法定 40 µg/m³ 的邮编单位
- 0.0%
How this was counted
Postcode district. DEFRA PCM 2024 1 km modelled annual-mean NO2 looked up at each Code-Point Open postcode centroid; postcode-unit weighted district summary.
M20
- 二氧化氮年平均中位数
- 13.8 µg/m³
- 高于 WHO 10 µg/m³ 的邮编单位
- 100.0%
- 达到或高于法定 40 µg/m³ 的邮编单位
- 0.0%
How this was counted
Postcode district. DEFRA PCM 2024 1 km modelled annual-mean NO2 looked up at each Code-Point Open postcode centroid; postcode-unit weighted district summary.
M21
- 二氧化氮年平均中位数
- 13.7 µg/m³
- 高于 WHO 10 µg/m³ 的邮编单位
- 100.0%
- 达到或高于法定 40 µg/m³ 的邮编单位
- 0.0%
How this was counted
Postcode district. DEFRA PCM 2024 1 km modelled annual-mean NO2 looked up at each Code-Point Open postcode centroid; postcode-unit weighted district summary.
M25
- 二氧化氮年平均中位数
- 13.6 µg/m³
- 高于 WHO 10 µg/m³ 的邮编单位
- 100.0%
- 达到或高于法定 40 µg/m³ 的邮编单位
- 0.0%
How this was counted
Postcode district. DEFRA PCM 2024 1 km modelled annual-mean NO2 looked up at each Code-Point Open postcode centroid; postcode-unit weighted district summary.
M3
- 二氧化氮年平均中位数
- 20.9 µg/m³
- 高于 WHO 10 µg/m³ 的邮编单位
- 100.0%
- 达到或高于法定 40 µg/m³ 的邮编单位
- 0.0%
How this was counted
Postcode district. DEFRA PCM 2024 1 km modelled annual-mean NO2 looked up at each Code-Point Open postcode centroid; postcode-unit weighted district summary.
M33
- 二氧化氮年平均中位数
- 12.4 µg/m³
- 高于 WHO 10 µg/m³ 的邮编单位
- 99.3%
- 达到或高于法定 40 µg/m³ 的邮编单位
- 0.0%
How this was counted
Postcode district. DEFRA PCM 2024 1 km modelled annual-mean NO2 looked up at each Code-Point Open postcode centroid; postcode-unit weighted district summary.
M4
- 二氧化氮年平均中位数
- 19.6 µg/m³
- 高于 WHO 10 µg/m³ 的邮编单位
- 100.0%
- 达到或高于法定 40 µg/m³ 的邮编单位
- 0.0%
How this was counted
Postcode district. DEFRA PCM 2024 1 km modelled annual-mean NO2 looked up at each Code-Point Open postcode centroid; postcode-unit weighted district summary.
M50
- 二氧化氮年平均中位数
- 17.3 µg/m³
- 高于 WHO 10 µg/m³ 的邮编单位
- 100.0%
- 达到或高于法定 40 µg/m³ 的邮编单位
- 0.0%
How this was counted
Postcode district. DEFRA PCM 2024 1 km modelled annual-mean NO2 looked up at each Code-Point Open postcode centroid; postcode-unit weighted district summary.
WA14
- 二氧化氮年平均中位数
- 10.5 µg/m³
- 高于 WHO 10 µg/m³ 的邮编单位
- 51.8%
- 达到或高于法定 40 µg/m³ 的邮编单位
- 0.0%
How this was counted
Postcode district. DEFRA PCM 2024 1 km modelled annual-mean NO2 looked up at each Code-Point Open postcode centroid; postcode-unit weighted district summary.
交通
指定区域共有 1,555 个公交接入点及 57 个铁路、地铁或有轨电车接入点，中间区域分别有 220 个和 7 个。
指定区域共有 1,280 个公交接入点及 208 个铁路、地铁或有轨电车接入点，中间区域分别有 118 个和 18 个。
CF10
- 有效公交接入点
- 175
- 有效铁路、地铁或电车接入点
- 13
How this was counted
Postcode district. active NaPTAN access node assigned to nearest Code-Point Open centroid.
CF11
- 有效公交接入点
- 177
- 有效铁路、地铁或电车接入点
- 5
How this was counted
Postcode district. active NaPTAN access node assigned to nearest Code-Point Open centroid.
CF14
- 有效公交接入点
- 408
- 有效铁路、地铁或电车接入点
- 24
How this was counted
Postcode district. active NaPTAN access node assigned to nearest Code-Point Open centroid.
CF23
- 有效公交接入点
- 254
- 有效铁路、地铁或电车接入点
- 5
How this was counted
Postcode district. active NaPTAN access node assigned to nearest Code-Point Open centroid.
CF24
- 有效公交接入点
- 185
- 有效铁路、地铁或电车接入点
- 1
How this was counted
Postcode district. active NaPTAN access node assigned to nearest Code-Point Open centroid.
CF5
- 有效公交接入点
- 356
- 有效铁路、地铁或电车接入点
- 9
How this was counted
Postcode district. active NaPTAN access node assigned to nearest Code-Point Open centroid.
M1
- 有效公交接入点
- 111
- 有效铁路、地铁或电车接入点
- 30
How this was counted
Postcode district. active NaPTAN access node assigned to nearest Code-Point Open centroid.
M14
- 有效公交接入点
- 133
- 有效铁路、地铁或电车接入点
- 3
How this was counted
Postcode district. active NaPTAN access node assigned to nearest Code-Point Open centroid.
M19
- 有效公交接入点
- 118
- 有效铁路、地铁或电车接入点
- 10
How this was counted
Postcode district. active NaPTAN access node assigned to nearest Code-Point Open centroid.
M20
- 有效公交接入点
- 190
- 有效铁路、地铁或电车接入点
- 24
How this was counted
Postcode district. active NaPTAN access node assigned to nearest Code-Point Open centroid.
M21
- 有效公交接入点
- 95
- 有效铁路、地铁或电车接入点
- 18
How this was counted
Postcode district. active NaPTAN access node assigned to nearest Code-Point Open centroid.
M25
- 有效公交接入点
- 131
- 有效铁路、地铁或电车接入点
- 10
How this was counted
Postcode district. active NaPTAN access node assigned to nearest Code-Point Open centroid.
M3
- 有效公交接入点
- 44
- 有效铁路、地铁或电车接入点
- 15
How this was counted
Postcode district. active NaPTAN access node assigned to nearest Code-Point Open centroid.
M33
- 有效公交接入点
- 205
- 有效铁路、地铁或电车接入点
- 18
How this was counted
Postcode district. active NaPTAN access node assigned to nearest Code-Point Open centroid.
M4
- 有效公交接入点
- 67
- 有效铁路、地铁或电车接入点
- 18
How this was counted
Postcode district. active NaPTAN access node assigned to nearest Code-Point Open centroid.
M50
- 有效公交接入点
- 38
- 有效铁路、地铁或电车接入点
- 47
How this was counted
Postcode district. active NaPTAN access node assigned to nearest Code-Point Open centroid.
WA14
- 有效公交接入点
- 148
- 有效铁路、地铁或电车接入点
- 15
How this was counted
Postcode district. active NaPTAN access node assigned to nearest Code-Point Open centroid.
宽带
区域邮编单位中位数的中点为每秒 1,000 Mbit，各区从 1,000 到 1,000 Mbit。
区域邮编单位中位数的中点为每秒 1,000 Mbit，各区从 1,000 到 1,000 Mbit。
CF10
- 最高广告下载速度中位数
- 1,000 Mbit/s
- 全光纤供应中位数
- 100.0%
- 千兆供应中位数
- 100.0%
How this was counted
Postcode district. median across postcode units.
CF11
- 最高广告下载速度中位数
- 1,000 Mbit/s
- 全光纤供应中位数
- 100.0%
- 千兆供应中位数
- 100.0%
How this was counted
Postcode district. median across postcode units.
CF14
- 最高广告下载速度中位数
- 1,000 Mbit/s
- 全光纤供应中位数
- 100.0%
- 千兆供应中位数
- 100.0%
How this was counted
Postcode district. median across postcode units.
CF23
- 最高广告下载速度中位数
- 1,000 Mbit/s
- 全光纤供应中位数
- 100.0%
- 千兆供应中位数
- 100.0%
How this was counted
Postcode district. median across postcode units.
CF24
- 最高广告下载速度中位数
- 1,000 Mbit/s
- 全光纤供应中位数
- 100.0%
- 千兆供应中位数
- 100.0%
How this was counted
Postcode district. median across postcode units.
CF5
- 最高广告下载速度中位数
- 1,000 Mbit/s
- 全光纤供应中位数
- 100.0%
- 千兆供应中位数
- 100.0%
How this was counted
Postcode district. median across postcode units.
M1
- 最高广告下载速度中位数
- 1,000 Mbit/s
- 全光纤供应中位数
- 100.0%
- 千兆供应中位数
- 100.0%
How this was counted
Postcode district. median across postcode units.
M14
- 最高广告下载速度中位数
- 1,000 Mbit/s
- 全光纤供应中位数
- 100.0%
- 千兆供应中位数
- 100.0%
How this was counted
Postcode district. median across postcode units.
M19
- 最高广告下载速度中位数
- 1,000 Mbit/s
- 全光纤供应中位数
- 100.0%
- 千兆供应中位数
- 100.0%
How this was counted
Postcode district. median across postcode units.
M20
- 最高广告下载速度中位数
- 1,000 Mbit/s
- 全光纤供应中位数
- 100.0%
- 千兆供应中位数
- 100.0%
How this was counted
Postcode district. median across postcode units.
M21
- 最高广告下载速度中位数
- 1,000 Mbit/s
- 全光纤供应中位数
- 100.0%
- 千兆供应中位数
- 100.0%
How this was counted
Postcode district. median across postcode units.
M25
- 最高广告下载速度中位数
- 1,000 Mbit/s
- 全光纤供应中位数
- 100.0%
- 千兆供应中位数
- 100.0%
How this was counted
Postcode district. median across postcode units.
M3
- 最高广告下载速度中位数
- 1,000 Mbit/s
- 全光纤供应中位数
- 100.0%
- 千兆供应中位数
- 100.0%
How this was counted
Postcode district. median across postcode units.
M33
- 最高广告下载速度中位数
- 1,000 Mbit/s
- 全光纤供应中位数
- 100.0%
- 千兆供应中位数
- 100.0%
How this was counted
Postcode district. median across postcode units.
M4
- 最高广告下载速度中位数
- 1,000 Mbit/s
- 全光纤供应中位数
- 100.0%
- 千兆供应中位数
- 100.0%
How this was counted
Postcode district. median across postcode units.
M50
- 最高广告下载速度中位数
- 1,000 Mbit/s
- 全光纤供应中位数
- 100.0%
- 千兆供应中位数
- 100.0%
How this was counted
Postcode district. median across postcode units.
WA14
- 最高广告下载速度中位数
- 1,000 Mbit/s
- 全光纤供应中位数
- 100.0%
- 千兆供应中位数
- 100.0%
How this was counted
Postcode district. median across postcode units.
道路安全
DfT 在 2022 到 2024 年记录指定区域共 729 宗人身伤亡碰撞，包括 11 宗致命、87 宗严重和 631 宗轻伤。
DfT 在 2022 到 2024 年记录指定区域共 1,151 宗人身伤亡碰撞，包括 19 宗致命、300 宗严重和 832 宗轻伤。
CF10
- 已报碰撞，2022–24
- 89
- 死亡
- 2
- 重伤
- 10
- 轻伤
- 77
How this was counted
Postcode district. 2022–24 STATS19 collision assigned to nearest Code-Point Open centroid.
CF11
- 已报碰撞，2022–24
- 90
- 死亡
- 0
- 重伤
- 13
- 轻伤
- 77
How this was counted
Postcode district. 2022–24 STATS19 collision assigned to nearest Code-Point Open centroid.
CF14
- 已报碰撞，2022–24
- 129
- 死亡
- 2
- 重伤
- 13
- 轻伤
- 114
How this was counted
Postcode district. 2022–24 STATS19 collision assigned to nearest Code-Point Open centroid.
CF23
- 已报碰撞，2022–24
- 89
- 死亡
- 0
- 重伤
- 11
- 轻伤
- 78
How this was counted
Postcode district. 2022–24 STATS19 collision assigned to nearest Code-Point Open centroid.
CF24
- 已报碰撞，2022–24
- 143
- 死亡
- 2
- 重伤
- 13
- 轻伤
- 128
How this was counted
Postcode district. 2022–24 STATS19 collision assigned to nearest Code-Point Open centroid.
CF5
- 已报碰撞，2022–24
- 189
- 死亡
- 5
- 重伤
- 27
- 轻伤
- 157
How this was counted
Postcode district. 2022–24 STATS19 collision assigned to nearest Code-Point Open centroid.
M1
- 已报碰撞，2022–24
- 147
- 死亡
- 2
- 重伤
- 44
- 轻伤
- 101
How this was counted
Postcode district. 2022–24 STATS19 collision assigned to nearest Code-Point Open centroid.
M14
- 已报碰撞，2022–24
- 191
- 死亡
- 4
- 重伤
- 53
- 轻伤
- 134
How this was counted
Postcode district. 2022–24 STATS19 collision assigned to nearest Code-Point Open centroid.
M19
- 已报碰撞，2022–24
- 107
- 死亡
- 0
- 重伤
- 24
- 轻伤
- 83
How this was counted
Postcode district. 2022–24 STATS19 collision assigned to nearest Code-Point Open centroid.
M20
- 已报碰撞，2022–24
- 121
- 死亡
- 3
- 重伤
- 37
- 轻伤
- 81
How this was counted
Postcode district. 2022–24 STATS19 collision assigned to nearest Code-Point Open centroid.
M21
- 已报碰撞，2022–24
- 62
- 死亡
- 1
- 重伤
- 11
- 轻伤
- 50
How this was counted
Postcode district. 2022–24 STATS19 collision assigned to nearest Code-Point Open centroid.
M25
- 已报碰撞，2022–24
- 96
- 死亡
- 1
- 重伤
- 19
- 轻伤
- 76
How this was counted
Postcode district. 2022–24 STATS19 collision assigned to nearest Code-Point Open centroid.
M3
- 已报碰撞，2022–24
- 125
- 死亡
- 2
- 重伤
- 27
- 轻伤
- 96
How this was counted
Postcode district. 2022–24 STATS19 collision assigned to nearest Code-Point Open centroid.
M33
- 已报碰撞，2022–24
- 102
- 死亡
- 4
- 重伤
- 31
- 轻伤
- 67
How this was counted
Postcode district. 2022–24 STATS19 collision assigned to nearest Code-Point Open centroid.
M4
- 已报碰撞，2022–24
- 86
- 死亡
- 0
- 重伤
- 21
- 轻伤
- 65
How this was counted
Postcode district. 2022–24 STATS19 collision assigned to nearest Code-Point Open centroid.
M50
- 已报碰撞，2022–24
- 24
- 死亡
- 0
- 重伤
- 9
- 轻伤
- 15
How this was counted
Postcode district. 2022–24 STATS19 collision assigned to nearest Code-Point Open centroid.
WA14
- 已报碰撞，2022–24
- 90
- 死亡
- 2
- 重伤
- 24
- 轻伤
- 64
How this was counted
Postcode district. 2022–24 STATS19 collision assigned to nearest Code-Point Open centroid.
Sources and method
- HM Land Registry Price Paid Data. local 2025-2026 bulk snapshot. 提取日期 2026-10-01.
- data.police.uk street-level crime custom download. 2025-07 to 2026-06; seven verified programme forces. 未记录原始下载日期.
- data.police.uk historical street-level crime archive — Greater Manchester Police. 2018-07 to 2019-06; last complete 12-month GMP period before the July 2019 supply gap. 未记录原始下载日期.
- Welsh Government Welsh Index of Multiple Deprivation 2025 — Cardiff extract. 2025-11-25. 未记录原始下载日期.
- MHCLG English Indices of Deprivation postcode download. 2025. 未记录原始下载日期.
- DfE Get Information about Schools establishment register. 2026-08-02. 未记录原始下载日期.
- OS Open Greenspace. April 2026 programme-city tile manifest. 未记录原始下载日期.
- Natural Resources Wales Flood Risk Assessment Wales. 2026-05-21 Cardiff extract manifest. 未记录原始下载日期.
- Environment Agency Flood risk: postcode search tool data. 2026-07-10. 未记录原始下载日期.
- DEFRA Pollution Climate Mapping annual-mean NO2 grid. 2024. 未记录原始下载日期.
- NaPTAN. 2026-08-02. 未记录原始下载日期.
- Ofcom Connected Nations. 2025. 未记录原始下载日期.
- DfT STATS19 Road Safety Data. 2022-2024 collision files. 未记录原始下载日期.
如需指定地址的桌面核查，Property Diligence 付费报告会加入公开来源可提供的房产层级详细资料。