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Good health and well-being require safe drinking water and improved sanitation facilities. Lack of access to drinking water and sanitation facilities poses serious health risks. There are few studies based on the NFHS-5 data in the literature. Therefore, the present study used the NFHS-5 data to investigate the spatial distribution of limited access to drinking water and sanitation facilities in India. The Stata version 14.1 software was used for statistical analysis and Arc Map 10.4 was used for spatial analysis. A binary logistic regression model was applied to investigate the association between dependent and independent variables. The prevalence of limited access to drinking water and sanitation facilities was higher in Madhya Pradesh (12.28%) and Manipur (22.65%), respectively. Besides, the spatial distribution of limited access to drinking water and sanitation facilities was spatially clustered among a few central and western Indian states. In the binary logistic regression, education, wealth index, and place of residence were significantly associated with limited drinking water and sanitation services. There is regional heterogeneity in drinking water and sanitation services. With this in mind, we suggest spatially optimized target-oriented policy measures in unprivileged areas. Improving the water distribution networks and construction of sanitation facilities is also recommended.

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良好的健康和福祉需要安全的饮用水和改善的卫生设施。缺乏饮用水和卫生设施造成严重的健康风险。文献中基于NFHS-5数据的研究很少。因此，本研究使用 NFHS-5 数据来调查印度饮用水和卫生设施有限的空间分布。采用Stata 14.1版软件进行统计分析，采用Arc Map 10.4软件进行空间分析。应用二元逻辑回归模型来研究因变量和自变量之间的关联。中央邦（12.28%）和曼尼普尔邦（22.65%）的饮用水和卫生设施有限的发生率较高。此外，饮用水和卫生设施有限的空间分布集中在印度中部和西部的几个邦。在二元逻辑回归中，教育、财富指数和居住地与有限的饮用水和卫生服务显着相关。饮用水和卫生服务存在地区差异。考虑到这一点，我们建议在贫困地区采取空间优化的有针对性的政策措施。还建议改善供水网络和卫生设施建设。