Understanding household water dynamics is crucial for achieving SDG 6 targets. This study explores the impact of 16 socio-demographic variables on household water demand in a tropical Nigerian community from February 2023 to January 2024, surveying eighty diverse households monthly. Descriptive and inferential statistics were applied to the survey data. Females constituted 85.8%, with 98.0% aged at least 18 and 73.6% having secondary education. Factorability of the dataset was confirmed (KMO = 63.4, p < 0.005). Analysis identified seven key variables, explaining 72.03% of observed variance: household size, water source reliability, time cost of obtaining water, water storage strategy, consumptive water use, monthly income, and water source management type. Further scrutiny revealed two variable groups, contributing 42.3% (VAR 1 and VAR 2) and 51.4% (VAR 3, 4, 5, and 6) of total absolute variance, respectively. This analysis is vital for effective household water planning and management, especially in resource-limited regions. Extracted variables warrant attention from industry stakeholders, with subsequent investigations revealing robust relationships (55.5–99.1%) among variables. This understanding is pivotal for institutionalizing policies and strategic decision-making in household water supply planning and management. It offers comprehensive insights for aligning practices with SDG 6 goals, ensuring sustainable and equitable access to water resources.

了解家庭用水动态对于实现可持续发展目标 6 的具体目标至关重要。本研究探讨了 2023 年 2 月至 2024 年 1 月尼日利亚热带社区 16 个社会人口变量对家庭用水需求的影响，每月对 80 个不同的家庭进行调查。对调查数据应用描述性和推理性统计。女性占 85.8%，其中 98.0% 至少 18 岁，73.6% 具有中学教育程度。数据集的可因式分解得到证实 （KMO = 63.4，p < 0.005）。 分析确定了七个关键变量，解释了 72.03% 的观察到的方差：家庭规模、水源可靠性、取水时间成本、储水策略、消耗性用水、月收入和水源管理类型。进一步的审查揭示了两个变量组，分别贡献了 42.3% （VAR 1 和 VAR 2） 和 51.4% （VAR 3、4、5 和 6） 的总绝对方差。这种分析对于有效的家庭用水规划和管理至关重要，尤其是在资源有限的地区。提取的变量值得行业利益相关者的关注，随后的调查揭示了变量之间的稳健关系 （55.5-99.1%）。这种理解对于将家庭供水规划和管理中的政策和战略决策制度化至关重要。它为使实践与 SDG 6 目标保持一致提供了全面的见解，确保可持续和公平地获得水资源。