遇见数据集

Southern Water Yearly Domestic Consumption 2026

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ArcGIS Hub2026-03-02 更新2026-07-05 收录
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This dataset offers valuable insights into yearly domestic water consumption across various Lower Super Output Areas (LSOAs) or Data Zones, accompanied by the count of water meters within each area. It is instrumental for analysing residential water use patterns, facilitating water conservation efforts, and guiding infrastructure development and policy making at a localised level. Aggregation Data is aggregated at the LSOA level, giving a total number of meters and consuption within each LSOA. The process of summarising or grouping data to obtain a single or reduced set of information, often for analysis or reporting purposes. Meter and Property Association Challenges arise in maintaining historical data integrity when meters are replaced but the property remains the same. Due to the low numbers and high complexity, sub meters have been removed from this dataset. Interpretation of Null Consumption Instances of null consumption could be misunderstood as a lack of water use, whereas they might simply indicate missing data. Aggregation to Mitigate Risks The dataset employs an elevated level of data aggregation to minimise the risk of individual identification. This approach is crucial in maintaining the utility of the dataset while ensuring individual privacy. The aggregation level is carefully chosen to remove identifiable risks without excluding valuable data, thus balancing data utility with privacy concerns. LSOA data - Source: Office for National Statistics licensed under the Open Government Licence v.3.0

本数据集可为各类超级低输出区(Lower Super Output Areas, LSOAs)或数据区的年度居民用水消耗量提供宝贵洞察,同时附带各区域内的水表数量统计信息。该数据集可用于分析居民用水模式、助力节水工作,并为本地化的基础设施建设与政策制定提供指导。 数据聚合:本数据集以LSOA为单位进行聚合,统计得到每个LSOA内的总水表数与用水总量。数据聚合指通过汇总或分组数据以获取精简后的信息集合,通常用于分析或报告工作。 水表与房产关联问题:当水表更换但房产主体未发生变化时,维持历史数据的完整性会面临挑战。由于分户水表数量稀少且关联复杂度极高,本数据集已剔除分户水表相关数据。 空值用水数据的解读:空值用水记录可能被误判为未发生用水,但实际上可能仅代表数据缺失。 风险规避型聚合:本数据集采用高粒度的数据聚合方式,以尽可能降低个体身份被识别的风险。该方案在保障数据集可用性的同时,确保了个体隐私安全,其聚合粒度经过审慎选取,既消除了可识别风险,又未舍弃有价值的数据,从而在数据效用与隐私保护之间达成平衡。 LSOA数据来源:英国国家统计局(Office for National Statistics),依据《开放政府许可v3.0》授权发布。

提供机构:
Southern Water
创建时间:
2026-02-02
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