As of 2021, the share of multidimensional poor in the total population of Mumbai sank to **** percent during the NFHS round of 2021 as compared to **** percent between 2015 and 2016. The proportion of multidimensionally poor in the population is arrived at by dividing the number of multi-dimensionally poor persons by the total population.

ObjectiveA focus on bacterial contamination has limited many studies of water service delivery in slums, with diarrheal illness being the presumed outcome of interest. We conducted a mixed methods study in a slum of 12,000 people in Mumbai, India to measure deficiencies in a broader array of water service delivery indicators and their adverse life impacts on the slum’s residents.MethodsSix focus group discussions and 40 individual qualitative interviews were conducted using purposeful sampling. Quantitative data on water indicators—quantity, access, price, reliability, and equity—were collected via a structured survey of 521 households selected using population-based random sampling.ResultsIn addition to negatively affecting health, the qualitative findings reveal that water service delivery failures have a constellation of other adverse life impacts—on household economy, employment, education, quality of life, social cohesion, and people’s sense of political inclusion. In a multivariate logistic regression analysis, price of water is the factor most strongly associated with use of inadequate water quantity (≤20 liters per capita per day). Water service delivery failures and their adverse impacts vary based on whether households fetch water or have informal water vendors deliver it to their homes.ConclusionsDeficiencies in water service delivery are associated with many non-health-related adverse impacts on slum households. Failure to evaluate non-health outcomes may underestimate the deprivation resulting from inadequate water service delivery. Based on these findings, we outline a multidimensional definition of household “water poverty” that encourages policymakers and researchers to look beyond evaluation of water quality and health. Use of multidimensional water metrics by governments, slum communities, and researchers may help to ensure that water supplies are designed to advance a broad array of health, economic, and social outcomes for the urban poor.

aINR = Indian rupeesDifferences in water indicators based on mode of water access.

Adverse life impacts of deficiencies in water service delivery in Kaula Bandar based on analysis of the qualitative data.

In 2022, ****** was home to the highest number of millionaires, followed by India’s capital New Delhi, and the IT capital - Bengaluru. This comes as no surprise since all three cities have the largest share of high net worth households along with a booming economic outlook. Overall, India had around *** billionaires as of March 2023, and ranked third globally in terms of its ultra-net-worth individuals. A growing wealth gap Despite this, India also has a very high wealth inequality with millions of people living below the poverty line. In fact, according to the last census, the state of Maharashtra (with Mumbai as its capital city) had the highest number of slums across the country with over *** million households. Furthermore, according to a 2015 study on the geography of the super-rich, Bangalore was ranked first in terms of the inequality between its rich and poor, with the wealth of the city’s billionaires being ******* times that of the average per capita GDP in the city. Mumbai came second in this listing, while Delhi was ranked fifth. It's a rich man's world As of 2018, the richest ** percent of Indians owned **** percent of the country’s wealth. The Indian economy was also seen to be one of the fastest growing economies across the world. This indicates the level of unequal distribution of wealth in the country. This is a matter of grave concern and has several implications in terms of the country’s development and progress.

aINR = Indian rupeesPredictors of inadequate water quantity in a multivariate logistic regression model.