Given moderate access to WASH services at the national level, widespread socio-economic inequality still exists in India. This study assesses the status of access to different types of sanitation and hygiene services in India and how the caste and class interactions are associated with them. We use nationally representative household survey data and the Joint Monitoring Programme (JMP) sanitation and hygiene framework. For descriptive analysis, frequency distribution is used. Multivariable logistic regression is applied, and caste interactions are used to estimate the probabilities. Overall, 51.2 and 71.8% of the households have access to safe sanitation and hygiene services. However, among the Scheduled Tribe households, only 36.6 and 58.7% have access to safe sanitation and hygiene. Findings show that class and caste interactions are strongly associated with WASH services. The probability of access to safe sanitation and hygiene is 16 and 15% points lower for the poorest Scheduled Tribes and Scheduled Castes compared to ‘Other’ socially privileged but economically poor, after adjusting for other household sociodemographic characteristics. The finding suggests that an upscaling of the existing policies and programs alongside considering the caste and class intersectionality is required for equitable access to sanitation and hygiene services and to achieve SDG-6.

  • Caste–class interactions and access to safe sanitation and basic hygiene services.

  • Persistent caste-based gap in access irrespective of economic status.

  • Economic convergence in the case of open defecation.

  • Social identity-based inclusive policy should be designed.

In November 2015, the United Nations General Assembly (UNGA) adopted access to clean drinking water and sanitation as human rights, which are essential to realize all other rights (United Nations 2015). After more than a decade of declaration on water and sanitation rights, the United Nations Organization (UNO) 2023 special report on progress toward Sustainable Development Goals (SDGs) shows that at the current pace, SDG-6 (clean water and sanitation, hygiene [WASH]) will not be accomplished by 2030 and multifold (at least three times) intensification of current efforts is required to reach the goalposts. As of 2023, 3.5 billion, 2.2 billion, and 2 billion people do not have access to safely managed sanitation, drinking water, and hygiene services, respectively (United Nations 2023). Access to safe WASH services is crucial not only for personal health and well-being but also has strong implications for society due to the negative externalities of a poor WASH environment.

In India, considering the human development implications of WASH facilities, governments have made efforts to improve access to WASH services, such as the Jal Jeevan Mission (JJM) and the Swachh Bharat Mission (SBM). Still, due to a lack of explicit Constitutional rights to water and sanitation, progress remained slow, and there exists a huge socio-economic inequality in WASH access (Mohan & Dulluri 2017). The latest available household survey data show that 23% of households do not have access to improved sanitation facilities. Compared to only 2% in the richest household, 56% of the poorest households lack improved sanitation facilities. Similarly, 19.4% of the households report that at least one member defecated in the open, whereas the figure is 52% for the poorest households and 35 and 26% for Scheduled Castes (SCs) and Scheduled Tribes (STs) (IIPS & ICF 2021).

In the present study, we focus on two main pillars (sanitation and hygiene) of WASH services because the investment in these sectors has huge potential to improve a wide range of health and nutritional outcomes and society's overall well-being (Amebelu et al. 2021; Waddington et al. 2023). The literature has explored WASH from (social) science, humanities, and interdisciplinary perspectives due to its public health, environmental, economic, and social implications (Hyun et al. 2019; Yamauchi et al. 2022). In India, Geruso & Spears (2018) estimated that a 10% points reduction in neighborhood open defecation (OD) would result in an 8% decline in the average infant mortality rate (IMR). In an experimental setting, Hussam et al. (2022) found a significant impact of hand hygiene on child health and nutritional outcomes in India. Alongside supply and demand side constraints, social attitudes toward sanitation contribute to less effective use of and access to WASH services in India (Gupta et al. 2020).

In India, caste is an intrinsic element of social identity. The caste system has its origin in the Vedic Period and has evolved through different times and spaces. The underlying principle of the caste system – the concept of ritual purity and pollution – has remained a permanent hallmark. Even in the present time, caste prejudice exists among educated and skilled youth in India (Deshpande & Spears 2016). Among the four major constituents of caste, STs and SCs are at the bottom rung of the social hierarchy, followed by Other Backward Classes (OBC) and ‘Others’ on the top. The marginalization of these (STs and SCs) socially disadvantaged communities is evident in the labor market, education, health and nutrition, and basic housing amenities (Deshpande 2011; Borooah 2018; Arora & Choudhary 2024). Access to WASH services is also affected by social status (Dickin & Gabrielsson 2023). A recent study in Nepal found that social identity (caste) is one of the key predictors of access to WASH services (Balasubramanya et al. 2022). In India, Roy (2023) explored the spatial and socio-economic aspects of limited water and sanitation facilities. Prakash et al. (2022) studied the sanitation aspect of WASH services and factors associated with Swachh Bharat Abhiyan (SBA) benefits. Roy et al. (2023a) examined the socio-economic correlates of improved sanitation and water services in West Bengal.

A few studies have explored households' access to WASH facilities in India, but their scope remained limited to specific aspects of WASH services or a geographical unit, and the role of class and caste intersectionalities was also not examined. Furthermore, we have only 7 years to accomplish the SDGs (specifically, SDG-6 on WASH), so identifying low-progress areas and societies is crucial to accelerate the progress and prioritize them. Therefore, the present study attempts to examine the status of access to various sanitation and hygiene services in India using a nationally representative survey designed to assess the water, sanitation, and hygiene situation in India. The study also examines the role of social identity and household socio-economic status in access to safe sanitation and hygiene services and factors associated with OD in India using the WHO and UNICEF Joint Monitoring Program (JMP) sanitation and hygiene service quality conceptual framework (WHO & UNICEF 2021). The findings of the study are relevant to policymaking as the study tries to identify the factors and social and economic intersectionality associated with poor access to sanitation and hygiene services.

Sample design

The study uses cross-sectional household-level data from the 76th round of the National Sample Survey (NSS), which was conducted from July to December 2018 by the National Statistical Office (NSSO) under the Ministry of Statistics and Programme Implementation (MoSPI Govt. of India 2018). This round contains comprehensive information on household water, sanitation and hygiene (WASH), and housing conditions. A two-stage stratified sampling design was used by the NSS in the 76th round. In the first stage, Primary Sampling Units (village in the rural area and Urban Frame Survey [UFS] block in urban area) are selected, and the Ultimate Stage Units (USU), which are households, are selected in the second stage. The survey is nationally representative and collected information from 106,838 (63,736 urban and 43,102 rural) households across 28 states and 8 Union Territories (UTs) of India.

Outcome variables

The present study aims to assess the household-level access to sanitation and hygiene services by socio-economic status and how caste and class interactions are affecting the access to them in India. We follow the standard JMP WASH service quality definition of access to sanitation and hygiene services to define the key outcome variables. We derived five indicator variables for sanitation (safely managed, basic, limited, unimproved, and no-service [OD]) and three for hygiene (basic, limited, and no access) services. Figures 1 and 2 represent the conceptual derivation of each category of sanitation and hygiene services. All the outcome variables are in a binary form where 1 indicates the presence of ‘respective’ outcome and 0 ‘otherwise’.
Figure 1

Classification of access to sanitation services in India following JMP framework using NSS 76th round in India.

Figure 1

Classification of access to sanitation services in India following JMP framework using NSS 76th round in India.

Close modal
Figure 2

Classification of access to hygiene services in India following JMP framework using NSS 76th round in India.

Figure 2

Classification of access to hygiene services in India following JMP framework using NSS 76th round in India.

Close modal

Explanatory variables

The 76th round of the NSS on water, sanitation, and hygiene collected comprehensive information on the socio-economic status and demographics of selected households. Following the literature on access to sanitation and hygiene services and Indian setting our explanatory variables include sex and level of education of household head, place of residence (rural-urban), household size, religion (Hindu, Muslim, and Others), caste (Scheduled Tribe [ST], Scheduled Caste [SC], Other Backward Class [OBC], and Others), usual monthly per capita consumption expenditure (MPCE) as a measure of economic status (Balasubramanya et al. 2022; Prakash et al. 2022; Ghosh et al. 2023; Roy et al. 2023a). Finally, we define class status by constructing five (poorest to richest) quintiles of MPCE.

Statistical analysis

Primary outcome variables are binary in nature; therefore, frequency distribution by background characteristics is used for bivariate descriptive statistics. Multivariable logistic regression is applied to identify the predictors associated with access to safe sanitation and hygiene services and no sanitation facility (OD) at the household level. For each outcome, separate regression models are used. To account for the effects of other covariates, the regression models are mutually adjusted for the household head's sex, level of education, and socio-economic status. The estimated odds ratios are reported with a 95% confidence interval. To estimate the predicted probabilities, average marginal effects are reported as marginal effects quantify the incremental change and explain the average effect of changes in predictor variables on the probability of outcome variable (Agresti 2019). The NSS uses a multistage sample design; therefore, appropriate sampling weight is used to correct the selection probabilities. Stata software version 15.1 is used to conduct the analysis (StataCorp 2017).

The present study uses anonymized secondary data collected by the National Statistics Office under the Ministry of Statistics and Programme Implementation (MoSPI) government of India. The confidentiality and anonymity of respondents were ensured throughout the study.

Disparities in access to sanitation and hygiene services

Table 1 presents households' access to sanitation (safely managed, basic, limited, unimproved sanitation services, and no sanitation facility) and hygiene services in India based on the (UNICEF and WHO) JMP service quality ladder. Overall, 51.2 and 71.8% of the households in India have access to safely managed sanitation and hygiene services. In comparison to hygiene services, socio-economic disparities are more apparent in sanitation services. In urban areas, 63.9% of the households have access to safely managed sanitation facilities whereas in rural areas 44.6% have access to safely managed sanitation services. In comparison to urban (3.8%), OD is more prevalent in rural areas (28.7%). The higher prevalence of OD in rural India is largely attributable to the ill-perceived notion of ritual purity, pollution and fear of latrine pits filling up and emptying among forward caste people (Gupta et al. 2020). Female-headed households had higher access to limited sanitation services (14.5%), while access to safely managed services was higher among male-headed households. Households with a head's level of education graduate or higher have significantly higher access to safe sanitation facilities. Among the social groups (caste and religion) a larger proportion (two-thirds) of socially privileged caste groups have access to safely managed sanitation services compared to just 36.6% among STs. ST-SC households have disproportionally lower access to any form of improved sanitation facilities and limited services. One-third of ST and 30.3% of SC do not have access to any type of sanitation facility. Among the MPCE quintiles, only 40% of the poorest households have access to safe sanitation and 42% defecate in the open.

Table 1

Distribution of access to various sanitation and hygiene services in India by socio-economic status

Socio-economic statusAccess to sanitation facility
Total (n) weightedAccess to hygiene services
Totala (n) weighted
Safely managedBasicLimitedUnimprovedOpen defecationBasic hygieneLimitedNo access
Place of residence 
 Rural 44.6 17.0 7.7 2.0 28.7 70,297 65.3 30.2 4.5 51,562 
 Urban 63.9 13.1 18.4 0.8 3.8 36,541 81.0 16.8 2.1 36,763 
Sex of headb 
 Male 51.9 15.6 10.9 1.6 20.0 92,788 72.0 24.4 3.5 76,904 
 Female 46.6 15.9 14.5 1.4 21.6 14,029 70.0 26.4 3.6 11,404 
Education of head 
 Not literate 37.7 16.6 8.6 2.3 34.9 29,473 61.3 33.5 5.1 19,643 
 Primary 45.5 17.7 12.3 2.1 22.4 23,705 65.7 29.7 4.6 19,004 
 Higher Secondary 56.6 14.8 13.9 1.1 13.7 41,266 75.2 21.9 2.9 37,085 
 Graduation 76.4 12.3 8.1 0.3 2.8 12,395 87.6 11.6 1.2 12,593 
Household size 
 Four 49.6 15.8 15.0 1.4 18.3 63,005 71.6 24.9 3.5 53,401 
 Five and more 53.6 15.5 6.2 1.8 22.9 43,833 72.1 24.3 3.6 34,924 
Religion 
 Hindu 50.4 15.7 10.6 1.4 21.9 86,637 71.4 25.05 3.5 69,982 
 Islam 53.5 13.8 17.5 2.2 13.1 13,686 72.1 24.1 4.0 12,384 
 Other 58.0 19.2 8.9 2.3 11.6 6,515 75.6 21.7 2.8 5,959 
Caste 
 Scheduled Tribe 36.6 17.7 9.2 3.8 32.8 10,180 58.7 34.3 7.0 6,872 
 Scheduled Caste 40.3 15.7 12.1 1.7 30.3 20,415 65.5 29.9 4.6 14,689 
 Other backward class 50.4 16.8 10.4 1.3 21.0 46,681 70.1 27.2 2.7 38,219 
 Other 65.2 13.1 13.2 1.1 7.5 29,561 80.4 16.3 3.3 28,543 
MPCE 
 Poorest 40.0 12.5 7.0 2.6 42.0 21,370 63.0 30.1 6.9 12,551 
 Poorer 43.6 14.7 10.3 2.0 29.4 22,073 64.8 30.0 5.2 16,082 
 Middle 50.2 18.2 11.5 1.7 18.5 20,668 67.0 29.7 3.3 17,452 
 Richer 56.9 19.1 13.6 1.1 9.4 21,367 73.0 24.4 2.7 20,180 
 Richest 69.8 13.9 14.6 0.4 1.3 21,360 84.6 14.0 1.4 22,061 
 Total 51.2 15.7 11.4 1.6 20.2 106,838 71.8 24.7 3.5 88,325 
Socio-economic statusAccess to sanitation facility
Total (n) weightedAccess to hygiene services
Totala (n) weighted
Safely managedBasicLimitedUnimprovedOpen defecationBasic hygieneLimitedNo access
Place of residence 
 Rural 44.6 17.0 7.7 2.0 28.7 70,297 65.3 30.2 4.5 51,562 
 Urban 63.9 13.1 18.4 0.8 3.8 36,541 81.0 16.8 2.1 36,763 
Sex of headb 
 Male 51.9 15.6 10.9 1.6 20.0 92,788 72.0 24.4 3.5 76,904 
 Female 46.6 15.9 14.5 1.4 21.6 14,029 70.0 26.4 3.6 11,404 
Education of head 
 Not literate 37.7 16.6 8.6 2.3 34.9 29,473 61.3 33.5 5.1 19,643 
 Primary 45.5 17.7 12.3 2.1 22.4 23,705 65.7 29.7 4.6 19,004 
 Higher Secondary 56.6 14.8 13.9 1.1 13.7 41,266 75.2 21.9 2.9 37,085 
 Graduation 76.4 12.3 8.1 0.3 2.8 12,395 87.6 11.6 1.2 12,593 
Household size 
 Four 49.6 15.8 15.0 1.4 18.3 63,005 71.6 24.9 3.5 53,401 
 Five and more 53.6 15.5 6.2 1.8 22.9 43,833 72.1 24.3 3.6 34,924 
Religion 
 Hindu 50.4 15.7 10.6 1.4 21.9 86,637 71.4 25.05 3.5 69,982 
 Islam 53.5 13.8 17.5 2.2 13.1 13,686 72.1 24.1 4.0 12,384 
 Other 58.0 19.2 8.9 2.3 11.6 6,515 75.6 21.7 2.8 5,959 
Caste 
 Scheduled Tribe 36.6 17.7 9.2 3.8 32.8 10,180 58.7 34.3 7.0 6,872 
 Scheduled Caste 40.3 15.7 12.1 1.7 30.3 20,415 65.5 29.9 4.6 14,689 
 Other backward class 50.4 16.8 10.4 1.3 21.0 46,681 70.1 27.2 2.7 38,219 
 Other 65.2 13.1 13.2 1.1 7.5 29,561 80.4 16.3 3.3 28,543 
MPCE 
 Poorest 40.0 12.5 7.0 2.6 42.0 21,370 63.0 30.1 6.9 12,551 
 Poorer 43.6 14.7 10.3 2.0 29.4 22,073 64.8 30.0 5.2 16,082 
 Middle 50.2 18.2 11.5 1.7 18.5 20,668 67.0 29.7 3.3 17,452 
 Richer 56.9 19.1 13.6 1.1 9.4 21,367 73.0 24.4 2.7 20,180 
 Richest 69.8 13.9 14.6 0.4 1.3 21,360 84.6 14.0 1.4 22,061 
 Total 51.2 15.7 11.4 1.6 20.2 106,838 71.8 24.7 3.5 88,325 

Note:aQuestion on the availability of water and hand washing products is for hygiene services that are asked to only those households who do not report open defecation. MPCE, monthly per capita consumption expenditure.

bObservation sums to 106,817 as we have included male- and female-headed households due to the insufficient number of ‘other’ sex category for disaggregated analysis.

Bold implies the number of households under each category. Other non-bold values are in percent terms.

Part 2 of Table 1 shows access to hygiene services, which is a combination of water and handwashing material availability around the toilet and whether household members wash their hands with water and soap/detergent after defecation. Compared to sanitation services, access to basic hygiene is higher across socio-economic status. However, there also exists a wide disparity among urban–rural (16% points) residences, social groups (Other vs. ST [21.7% points]), and economic classes (richest vs. poorest [8.8% points]). Sex of the household head, household size, and religion do not show significant differences in access to basic hygiene services. We find substantial state-level variations in access to sanitation and hygiene services (Appendix Figures 1 and 2).

Predictors and probability of access to safe sanitation and basic hygiene services

To identify the factors associated with access to safely managed sanitation and basic hygiene services, multivariable logistic regression results are presented in Table 2. The odds ratio is reported after mutually adjusting for residence, sex, education of the head, and socio-economic status. Urban households were more likely to have safely managed sanitation (AOR 1.19; 95% CI 1.14, 1.24) and basic hygiene (AOR 1.47; 95% CI 1.40, 1.55). Contrary to this, rural residents are more than three times more likely to have no sanitation facility or OD (AOR 3.38; 95% CI 3.14, 3,64). Female-headed households are more likely to have safely managed sanitation (AOR 1.04; 95% CI 0.98, 1.09) and basic hygiene (AOR 1.09; 95% CI 1.03, 1.16) and are less likely to practice OD (AOR 0.90; 95% CI 0.84, 0.96). Household head education is significantly associated with greater likelihood of having access to safely managed sanitation (AOR 3.22; 95% CI 2.98, 3.48) and basic hygiene (AOR 2.66; 95% CI 2.42, 2.93). On the other hand, households with illiterate heads were almost five times more likely to defecate in the open (AOR 4.69; 95% CI 4.05, 5.43). Among social groups, the odds of defecating in the open are more than twice for STs (AOR 2.30; 95% CI 2.11, 2.51) and SCs (AOR 2.62; 95% CI 2.44, 2.81) compared to other socially privileged caste groups.

Table 2

Multivariable logistic regression results for access to sanitation and hygiene services by socio-economic status in India

Socio-economic characteristicsDependent variables:
Safely managed sanitation
Basic hygiene
Open defecation
AOR(95% CI)AOR(95% CI)AOR(95% CI)
Residence 
 Rural Ref.  Ref.  3.38*** 3.14–3.64 
 Urban 1.19*** 1.14–1.24 1.47*** 1.40–1.55 Ref.  
Sex of head 
 Male Ref.  Ref.  Ref.  
 Female 1.04 0.98–1.09 1.09* 1.03–1.16 0.90** 0.84–0.96 
Education of head 
 Not literate Ref.  Ref.  4.69*** 4.05–5.43 
 Primary 1.26*** 1.20–1.31 1.14*** 1.07–1.20 2.96*** 2.56–3.43 
 Higher Secondary 1.71*** 1.64–1.79 1.59*** 1.51–1.68 2.14*** 1.85–2.47 
 Graduation 3.22*** 2.98–3.48 2.66*** 2.42–2.93 Ref.  
Household size 
 Four Ref.  Ref.  Ref.  
 Five and more 1.75*** 1.69–1.82 1,38*** 1.32–1.44 0.71*** 0.68–0.75 
Religion 
 Hindu Ref.  Ref.  1.68*** 1.51–1.87 
 Islam 1.03 0.98–1.08 1.02 0.96–1.08 1.04 0.92–1.18 
 Other 1.24*** 1.16–1.33 1.19*** 1.10–1.29 Ref.  
Caste 
 Scheduled Tribe Ref.  Ref.  2.30*** 2.11–2.51 
 Scheduled Caste 1.06 1.00–1.13 1.27*** 1.17–1.37 2.62*** 2.44–2.81 
 Other backward class 1.42*** 1.34–1.50 1.41*** 1.32–1.52 2.07*** 1.94–2.21 
 Other 2.04*** 1.91–2.18 2.06*** 1.91–2.23 Ref.  
MPCE 
 Poorest Ref.  Ref.  15.11*** 12.47–18.30 
 Poorer 1.34*** 1.28–1.41 1.01 0.95–1.08 9.61*** 7.94–11.63 
 Middle 1.71*** 1.63–1.81 1.06 0.99–1.13 5.70*** 4.71–6.90 
 Richer 2.04*** 1.93–2.16 1.21*** 1.13–1.30 3.50*** 2.90–4.24 
 Richest 2.56*** 2.38–2.76 1.73*** 1.58–1.89 Ref.  
N 106,817 88,309 106,817 
Socio-economic characteristicsDependent variables:
Safely managed sanitation
Basic hygiene
Open defecation
AOR(95% CI)AOR(95% CI)AOR(95% CI)
Residence 
 Rural Ref.  Ref.  3.38*** 3.14–3.64 
 Urban 1.19*** 1.14–1.24 1.47*** 1.40–1.55 Ref.  
Sex of head 
 Male Ref.  Ref.  Ref.  
 Female 1.04 0.98–1.09 1.09* 1.03–1.16 0.90** 0.84–0.96 
Education of head 
 Not literate Ref.  Ref.  4.69*** 4.05–5.43 
 Primary 1.26*** 1.20–1.31 1.14*** 1.07–1.20 2.96*** 2.56–3.43 
 Higher Secondary 1.71*** 1.64–1.79 1.59*** 1.51–1.68 2.14*** 1.85–2.47 
 Graduation 3.22*** 2.98–3.48 2.66*** 2.42–2.93 Ref.  
Household size 
 Four Ref.  Ref.  Ref.  
 Five and more 1.75*** 1.69–1.82 1,38*** 1.32–1.44 0.71*** 0.68–0.75 
Religion 
 Hindu Ref.  Ref.  1.68*** 1.51–1.87 
 Islam 1.03 0.98–1.08 1.02 0.96–1.08 1.04 0.92–1.18 
 Other 1.24*** 1.16–1.33 1.19*** 1.10–1.29 Ref.  
Caste 
 Scheduled Tribe Ref.  Ref.  2.30*** 2.11–2.51 
 Scheduled Caste 1.06 1.00–1.13 1.27*** 1.17–1.37 2.62*** 2.44–2.81 
 Other backward class 1.42*** 1.34–1.50 1.41*** 1.32–1.52 2.07*** 1.94–2.21 
 Other 2.04*** 1.91–2.18 2.06*** 1.91–2.23 Ref.  
MPCE 
 Poorest Ref.  Ref.  15.11*** 12.47–18.30 
 Poorer 1.34*** 1.28–1.41 1.01 0.95–1.08 9.61*** 7.94–11.63 
 Middle 1.71*** 1.63–1.81 1.06 0.99–1.13 5.70*** 4.71–6.90 
 Richer 2.04*** 1.93–2.16 1.21*** 1.13–1.30 3.50*** 2.90–4.24 
 Richest 2.56*** 2.38–2.76 1.73*** 1.58–1.89 Ref.  
N 106,817 88,309 106,817 

Note: AOR, adjusted odds ratio; CI, confidence interval (Significance at *p, 0.10; **p, 0.05; ***p, 0.001). AOR is mutually adjusted for socio-economic status and household head's education and sex.

We estimate the marginal effects of safely managed sanitation and hygiene services to quantify the magnitude of odds ratios. Table 3 shows that after adjusting for other socio-economic characteristics, the probability of access to safe sanitation is 0.26 points, 0.16 points, and 0.22 points higher for those having heads with graduate education and above, Other social groups, and the richest MPCE quintile compared to no-education, STs, and poorest MPCE quintile, respectively. The probability of OD is 0.28 points, 0.12 points, and 0.13 points higher for the poorest households, SCs, and rural areas compared to the richest, ‘Others’ social group, and urban areas, respectively.

Table 3

Average marginal effects for access to sanitation and hygiene services by socio-economic status in India

Socio-economic characteristicsDependent variables
Safely managed sanitation
Basic hygiene
Open defecation
Average Marginal Effect (AME)(95% CI)AME(95% CI)AME(95% CI)
Residence 
 Rural Ref.  Ref.  0.13 0.13–0.14 
 Urban 0.04 0.03–0.05 0.07 0.06–0.08 Ref.  
Sex of head 
 Male Ref.  Ref.  Ref.  
 Female 0.01 −0.00–0.02 0.02 0.00–0.03 −0.01 −0.02– − 0.01 
Education of head 
 Not literate Ref.  Ref.  0.18 0.17–0.19 
 Primary 0.05 0.04–0.06 0.03 0.02–0.04 0.11 0.10–0.12 
 Higher Secondary 0.13 0.12–0.14 0.09 0.08–0.10 0.07 0.06–0.08 
 Graduation 0.26 0.25–0.28 0.18 0.16–0.19 Ref.  
Household size 
 Four Ref.  Ref.  Ref.  
 Five and more 0.12 0.12–0.13 0.06 0.05–0.07 −0.04 −0.05 – −0.04 
Religion 
 Hindu Ref.  Ref.  0.06 0.05–0.07 
 Islam 0.01 −0.01–0.02 0.00 −0.01–0.01 0.00 −0.01–0.02 
 Other 0.05 0.03–0.06 0.03 0.02–0.05 Ref.  
Caste 
 Scheduled Tribe Ref.  Ref.  0.10 0.09–0.11 
 Scheduled Caste 0.01 −0.00–0.03 0.05 0.03–0.07 0.12 0.11–0.13 
 Other backward class 0.08 0.07–0.09 0.07 0.06–0.09 0.08 0.08–0.09 
 Other 0.16 0.15–0.18 0.14 0.12–0.16 Ref.  
MPCE 
 Poorest Ref.  Ref.  0.28 0.27–0.29 
 Poorer 0.07 0.06–0.08 0.00 −0.01–0.01 0.20 0.19–0.21 
 Middle 0.12 0.11–0.14 0.01 −0.00–0.02 0.13 0.12–0.14 
 Richer 0.16 0.15–0.18 0.04 0.02–0.05 0.07 0.07–0.08 
 Richest 0.22 0.20–0.23 0.10 0.08–0.12 Ref.  
N 106,817 88,309 106,817 
Socio-economic characteristicsDependent variables
Safely managed sanitation
Basic hygiene
Open defecation
Average Marginal Effect (AME)(95% CI)AME(95% CI)AME(95% CI)
Residence 
 Rural Ref.  Ref.  0.13 0.13–0.14 
 Urban 0.04 0.03–0.05 0.07 0.06–0.08 Ref.  
Sex of head 
 Male Ref.  Ref.  Ref.  
 Female 0.01 −0.00–0.02 0.02 0.00–0.03 −0.01 −0.02– − 0.01 
Education of head 
 Not literate Ref.  Ref.  0.18 0.17–0.19 
 Primary 0.05 0.04–0.06 0.03 0.02–0.04 0.11 0.10–0.12 
 Higher Secondary 0.13 0.12–0.14 0.09 0.08–0.10 0.07 0.06–0.08 
 Graduation 0.26 0.25–0.28 0.18 0.16–0.19 Ref.  
Household size 
 Four Ref.  Ref.  Ref.  
 Five and more 0.12 0.12–0.13 0.06 0.05–0.07 −0.04 −0.05 – −0.04 
Religion 
 Hindu Ref.  Ref.  0.06 0.05–0.07 
 Islam 0.01 −0.01–0.02 0.00 −0.01–0.01 0.00 −0.01–0.02 
 Other 0.05 0.03–0.06 0.03 0.02–0.05 Ref.  
Caste 
 Scheduled Tribe Ref.  Ref.  0.10 0.09–0.11 
 Scheduled Caste 0.01 −0.00–0.03 0.05 0.03–0.07 0.12 0.11–0.13 
 Other backward class 0.08 0.07–0.09 0.07 0.06–0.09 0.08 0.08–0.09 
 Other 0.16 0.15–0.18 0.14 0.12–0.16 Ref.  
MPCE 
 Poorest Ref.  Ref.  0.28 0.27–0.29 
 Poorer 0.07 0.06–0.08 0.00 −0.01–0.01 0.20 0.19–0.21 
 Middle 0.12 0.11–0.14 0.01 −0.00–0.02 0.13 0.12–0.14 
 Richer 0.16 0.15–0.18 0.04 0.02–0.05 0.07 0.07–0.08 
 Richest 0.22 0.20–0.23 0.10 0.08–0.12 Ref.  
N 106,817 88,309 106,817 

Note: Marginal effects are computed from multivariable logistic regression estimates.

Finally, to assess the combined effects of social and economic deprivation, we intersected caste and MPCE quintiles and the estimated probabilities of safely managed sanitation and basic hygiene are presented in (Figure 3). The left panel (Figure 3) shows that after adjusting for the place of residence, head's education and sex, household size, and religion, the probability of having safe sanitation is 16% points and 15% points lower for STs and SCs across the five MPCE quintiles. However, differences in the probability of access to basic hygiene services among social groups show a moderate convergence at higher economic status. Figure 4 shows that at the poorest MPCE quintile of economic status, the probability of defecating in the open is 15% points higher for SCs, and this social group-based difference almost disappears at the richest quintile. A strong social identity-based convergence is evident among economically well-off sections of society.
Figure 3

Predicted probability of access to safely managed sanitation and basic hygiene services in India.

Figure 3

Predicted probability of access to safely managed sanitation and basic hygiene services in India.

Close modal
Figure 4

Predicted probability of open defecation or no access to sanitation services in India.

Figure 4

Predicted probability of open defecation or no access to sanitation services in India.

Close modal

The present study examines the JMP service quality-based access to different sanitation and hygiene services and how social identity (caste) interacted with economic deprivation affects their accessibility in India. More than half of the households residing in rural areas do not have access to safely managed sanitation services. One-fifth of the surveyed households live without any sanitation facility or defecate in the open. A similar pattern of OD is also found in NFHS-5 (2019–21), which shows that 20% of the households have no sanitation facility (IIPS & ICF 2021). In December 2019, the government declared India as Open Defecation Free (ODF), and a close examination of the ODF claim found some definitional disconnect between the definition used in SBM and other household surveys (Seth 2021).

Another independent survey also found that despite a substantial increase in toilet ownership, OD persists in Northern Indian states. Further, the study reveals that SBM officials also took undue coercive measures to force people to build latrines and suggests that in North India, rural sanitation policy could be more effective if social attitudes toward open defection can be changed (Gupta et al. 2020). Coffey & Spears (2017, p. 222) reflect on a crucial aspect related to the lack of awareness among people about the goal of SBM and low spending on behavior change. In line with their prediction, the latest estimate from the National Family Health Survey 5 (2019–21) shows that 20% of households still defecate in the open. Our finding coheres with Prakash et al. (2022) and finds large regional and state-level rural-urban disparities in access to various sanitation and hygiene services.

Apart from sanitation services, we also report socio-economic disparity in access to hygiene services in India. Compared to sanitation, access to basic hygiene is much higher, and socio-economic inequalities are lower (Roy et al. 2023a). However, privileged social groups have an advantage in both safely managed sanitation and basic hygiene services. The intersection of social identity and economic status shows a visible caste disadvantage in access to safe sanitation and hygiene, irrespective of economic status. These findings align with a study in Nepal on access to WASH and healthcare services where caste and social identity are significant determinants of access to these services (Balasubramanya et al. 2022). In India, Spears & Thorat (2019, p. 731) concluded that ‘when many people in rural India compare the costs and benefits of latrine use and OD, aspects of the culture of caste-related purity and pollution encourage open defecation.’ Therefore, policies aiming to change social attitudes toward ritual and physical (im)purity and pollution can play a significant role in improving access to better sanitation services across all sections of society (Gupta et al. 2020). Arora & Choudhary (2024) find that 24% of the difference in access to basic household amenities in urban India is attributable to caste-based inequality. Similarly, social identity (caste) affects almost all economic affairs of life in India (for details, see Deshpande 2011).

We find that female-headed households are more likely to have access to safe sanitation and hygiene services and lower the probability of OD. One candidate explanation that may explain this relation, partially, if not fully, is intrahousehold bargaining power and benefit perception of access to sanitation facilities. Experimental evidence from India shows that women's bargaining power and higher benefit perception of sanitation loan up-take positively influence the household's decision to invest in sanitation (Augsburg et al. 2023). Das et al. (2023) found that in peri-urban areas, the probability of using toilets exclusively for sanitation is 16% points higher in households where the decision to construct it was solely taken by women. Thus, embedding awareness about the benefits of improved WASH services in women empowerment policies may help to end open defecation in India. It may further promote gender equality as women face harassment while going outside to defecate and also disproportionately bear the burden of cleaning the feces of children, ailing family members, and fetching water from outside.

Safely managed sanitation is a public good as it serves an excreta-free living environment that has positive externalities (Ross 2017). A significant positive impact of community-level improved sanitation on child mortality and human capital was observed in India (Spears & Lamba 2016; Geruso & Spears 2018). Access to improved WASH services mediated 23% of the rural-urban differences in child stunting in China and resulted in a lower likelihood of ill-health episodes of occurrence of diarrhea among children under 3 years of age in India (Lin & Feng 2023; Roy et al. 2023b).

In terms of class and caste interactions, we find a persistent significantly lower probability of having access to safely managed sanitation services for socially deprived groups irrespective of their economic status. It indicates that to improve access to safely managed sanitation facilities among social groups, specific policies should be designed with an emphasis on social identity alongside monetary poverty. However, there is a convergence – much more robust in the case of OD – in the probability of having access to basic hygiene facilities and not defecating in the open among social groups with higher economic status. Therefore, the immediate target of eradicating OD can be achieved more effectively by economic status-based targeting alongside a long-run transition to safely managed sanitation services for all. In rural India – specifically northern states where ritual purity, pollution, and caste-based norms are responsible for a higher prevalence of OD— sanitation policy should encourage the adoption of affordable toilets alongside changing the social attitude toward sanitation (Gupta et al. 2020).

Using (the WHO-UNICEF) Joint Monitoring Program sanitation and hygiene service quality ladder, the present study examines the status of class and caste-based interactions in access to sanitation and hygiene services in India. We find a significant variation across states in access to safe sanitation, basic hygiene, and no services. There is convergence in access to sanitation and hygiene within the state. Privileged sections of society have a higher likelihood of safely managed sanitation and basic hygiene services. In contrast, the probability of not having any sanitation services (OD) is 28% higher for the lowest MPCE quintile households. It further intensifies when interacting with historically marginalized social groups. This indicates that relying on mere economic or social group targeting is not sufficient to ensure equitable access to WASH services, and socio-economic intersectionalities should be taken into consideration.

Findings imply that a special policy should be designed to achieve convergence in access to sanitation and hygiene. Further, there is a strong need to upscale the existing policies in the lagging behind states. This upscaling can be done by empowering, training, and compensating the Village Health Sanitation and Nutrition Committees (VHSNC), which are constrained by a lack of training of members, fund utilization, and poor linkages with the healthcare system (Srivastava et al. 2016). The VHSNC includes frontline workers, Accredited Social Health Activists (ASHA), Anganwadi Workers (AWW) and adequate representation of women and socially marginalized communities. By information delivery and local campaigning about the social benefits of improved WASH services, the VHSNC can play an instrumental role in behavior change. Further, a comprehensive state-level access to WASH services index can be created to measure the performance and resource allocation. Finally, to overcome the implicit barriers that emerged from social identities, basic health and hygiene materials such as soap/detergent should be provided to marginalized sections of society in WASH programs and policies.

We thank Manoj Godara for the helpful discussion in the research problem formulation.

The author(s) had not received specific funding for this work.

All relevant data are available from an online repository or repositories. The dataset used in the present work is available at the online microdata library, https://microdata.gov.in/nada43/index.php/catalog/153 of National Data Archive under the Ministry of Statistics and Programme Implementation (MOSPI) – Government of India.

The authors declare there is no conflict.

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