India’s drinking-water challenge appeared straightforward. Millions of households lacked access to safe water within their homes and depended on hand pumps, wells, public standposts and distant sources. Women and children often spent hours each day collecting water, particularly in rural and drought-prone regions. Recognising this burden, successive governments invested heavily in drinkingwater infrastructure, culminating in the launch of the Jal Jeevan Mission (JJM) in 2019. The results have been remarkable. Within a few years, rural tap-water coverage expanded dramatically, making the JJM one of the largest drinking-water infrastructure programmes in the world. Millions of households that had never previously had a water connection now have taps installed inside their homes. Yet beneath this success story lies an uncomfortable question: does a tap connection necessarily guarantee reliable access to water? Students sometimes spend two or three consecutive days without water despite living in hostels connected to a piped-water network. Water is supplied from a reservoir through an established distribution system, yet interruptions occur whenever storage levels decline or pumping operations are disrupted. The problem is not the absence of infrastructure; it is the reliability of the system that sustains it. This experience is not unique. Across India, households are becoming increasingly dependent on centralised water systems whose performance is shaped by reservoir levels, groundwater availability, electricity supply, treatment capacity and distribution networks. As climate variability intensifies and water demand grows, the challenge confronting India’s water sector is no longer simply one of access. Increasingly, it is a question of reliability. The success of India’s drinking-water programmes is commonly measured by the number of connections installed. But for households, water security is measured differently. The critical question is not whether a tap exists. It is whether water flows when the tap is opened. The experience of intermittent water supply in Karnataka raises a broader question. Are such disruptions isolated incidents, or do they reflect a larger pattern emerging across India? To explore this question, I examined district-level data from the National Family Health Survey-5, which, for the first time, allows an assessment of household experiences with disruptions in drinking-water supply. The survey asked households whether their primary source of drinking water had been unavailable for at least one full day during the two weeks preceding the survey. The results reveal a striking and counterintuitive pattern. Districts with greater access to piped-water systems were often more likely to report water disruptions. The finding challenges a deeply held assumption in water policy: that expanding infrastructure automatically translates into reliable access. The disruptions were also far from randomly distributed. Instead, they showed clear geographical clustering. Significant hotspots emerged across western India, Rajasthan, parts of the Western Ghats, selected Himalayan districts and the Northeast. In contrast, large clusters of relatively low disruption were concentrated across parts of the Indo-Gangetic Plain and eastern India. Spatial statistical analysis confirms this pattern. The Global Moran’s I value for water disruption was 0.614 (p < 0.001), indicating a strong tendency for districts with high levels of disruption to be located near other districts facing similar challenges. Such clustering suggests that regional environmental conditions, infrastructure characteristics and water-governance systems may play an important role in shaping household experiences of water reliability. The analysis uses districtlevel data from NFHS-5, conducted in 2019-21, India’s largest household survey. Water disruption refers to households reporting that their primary drinking-water source was unavailable for at least one full day during the two weeks preceding the survey. Spatial clustering was assessed using Moran’s I statistics and Local Indicators of Spatial Association. Even more striking was the relationship between pipedwater access and disruption. Bivariate spatial analysis revealed a significant overlap between districts with high levels of piped-water coverage and districts experiencing frequent water interruptions. Several hotspot clusters were concentrated across western India, the Western Ghats, Rajasthan, parts of the Himalayan region and the Northeast. The distinction between access and reliability is increasingly visible on the ground. Reporting from Uttar Pradesh has documented villages where households have tap-water connections under the Jal Jeevan Mission but continue to struggle with irregular or inadequate supply. In Baghpat district, residents reported that the existence of infrastructure did not necessarily translate into dependable access to water. Such experiences suggest that the presence of a tap connection and the availability of water are not always synonymous. They also reinforce an important message emerging from the NFHS-5 analysis: infrastructure coverage and service reliability may represent distinct dimensions of water security. At first glance, the relationship between pipedwater access and water disruption appears paradoxical. Conventional wisdom assumes that expanding infrastructure should improve reliability. Yet the NFHS-5 analysis suggests a more complex reality. Unlike households dependent on local wells or hand pumps, those connected to centralised networks rely on reservoirs, treatment plants, pumping stations, electricity and distribution systems. Failures at any point can affect thousands of households simultaneously. The finding does not imply that piped water causes disruption. Rather, it suggests that access and reliability are distinct dimensions of water security and should be measured separately. The emerging geography of water disruption cannot be understood through infrastructure alone. Climate variability is increasingly reshaping the conditions under which water systems operate. (Courtesy: DTE)
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