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This comprehensive dataset describe the groundwater quality and microbial risk assessment from shallow drinking water sources across seven flood-affected districts of Sindh Province, Pakistan following the 2022 monsoon floods. The dataset includes measurements of key physicochemical parameters and microbiological indicators obtained from 1,795 groundwater samples collected from commonly used rural drinking water sources such as hand pumps, motor pumps, and tube wells. In addition to measured water quality parameters, the dataset includes derived indicators such as the Water Quality Index (WQI) and Quantitative Microbial Risk Assessment (QMRA) outputs based on the Beta–Poisson dose–response model. The dataset also provides spatial summaries, district-level exceedance of drinking water standards, and infection and illness probability estimates across different demographic groups. These data provide an important baseline resource for understanding post-flood groundwater conditions and may support future research on groundwater monitoring, microbial risk assessment, and water safety management in flood-prone regions.本综合数据集收录了巴基斯坦信德省（Sindh Province）7个受2022年季风洪水影响的区县浅层饮用水水源地的地下水水质与微生物风险评估相关数据。数据集涵盖了从1795份地下水样本中测得的关键理化参数与微生物指标，这些样本采集自农村地区常用的手动泵、机动泵及管井等饮用水取水点。 除实测水质参数外，数据集还包含基于贝塔-泊松剂量反应模型（Beta–Poisson dose–response model）计算得到的衍生指标，包括水质指数（Water Quality Index, WQI）与定量微生物风险评估（Quantitative Microbial Risk Assessment, QMRA）结果。数据集还提供了空间汇总数据、各区县饮用水标准超标情况，以及不同人口群体的感染与患病概率估算结果。本数据集可为明晰洪灾后地下水现状提供重要的基准资源，同时可为洪水易发地区未来的地下水监测、微生物风险评估与水安全管理相关研究提供有力支撑。