Abstract
Under Sustainable Development Goal targets 6.1 and 6.2, every nation is committed to ensure universal and equitable access to water and sanitation to its people and India is no exception. The country has made a considerable progress toward these targets through various policy and programmatic initiatives since 2015. Within an overall improvement at the country level, this paper examines the coverage of key WASH indicators in tribal population of the country. Secondary data pertaining to the WASH indicators were obtained from the NFHS 2015–2016 and NFHS 2019–2021 for 90 tribal-dominated districts of the country and were analyzed. We ranked these tribal districts on the basis of their performance. The analysis showed a distinct improvement in terms of marked fall in open defecation, uptake of improved toilet facilities, accessibility to improved sources of water, and improved behaviors in relation to the handwashing and treatment of drinking water in tribal population with varying levels of coverage, which was captured in WASH ranking of these districts. The districts falling toward the bottom side of the ranking ladder need prioritization and entail more attention of programmatic interventions in order to sustain the overall progress and to reach the SDG targets of 100% WASH coverage.
HIGHLIGHTS
It is the first systematic assessment of the progress that has been made toward the WASH coverage in tribal-dominated districts of India.
It is the first attempt to rank the tribal-dominated districts on the basis of their performance on WASH indicators and coverage.
It provides insights on districts and WASH indicators that need prioritization and also a means to track the progress that each district is making.
INTRODUCTION
Contaminated water, poor sanitation, and hygiene impair health, expose individuals to many health risks and lead to poor health outcomes. It is a persistent health challenge accounting for 90% of the 2 million global diarrhoeal disease-related deaths, mostly affecting children (UN 2016). Access to safe drinking water, adequate sanitation, and hygiene make a meaningful and substantial contribution toward reducing the global disease burden through preventing and reducing illness (Fewtrell et al. 2005; Cairncross et al. 2010; WHO 2017). The era of Sustainable Development Goals (SDGs), with targets 6.1 and 6.2 pertaining to water, sanitation, and hygiene (WASH) seems to have coincided with significant efforts made to improve access to safe drinking water and sanitation (WHO & UNICEF 2021). Both these SDG targets underscore the importance of WASH in population health and reinforce the need of prioritizing the universal access of WASH services. In 2015, India accounted for 90% of South Asians and 50% of the global population defecating in the open. The Government of India launched some of its flagship programs, such as Swachh Bharat Mission (SBM), Jal Jeevan Mission (JJM), and WASH in schools, demonstrating a renewed commitment to WASH. India, since then has made commendable progress in substantially reducing the proportion of population defecating in the open, which has come down from 29% (in 2015) to 15% (in 2020) (World Bank 2022). Likewise, the share of people having access to safe drinking water source has also increased during these 5 years (GoI 2022a, 2022b). In the context of an overall country level improvement, this paper looks into the coverage of WASH indicators in one of its sub-population category, i.e., tribal population. The country has a substantial proportion of tribal population with a 10.1% share in the overall population (Census 2011). The tribal population in Indian settings is known by different names, such as, adivasi, janjati, girijan, and is referred to as Scheduled Tribes in the Indian constitution. The tribal population largely lives in hilly, forested, or well-defined areas. They vary among themselves in relation to the language they speak, ecological settings wherein they reside, physical features, population size, mode of subsistence, level of acculturation, and social stratification. They are spread across the country with varying population size ranging between lakhs and few in numbers. Though they are mainly concentrated in eastern, central and in the northeastern states of the country, the sizeable tribal population is also found in other states. The tribal population, generally in the country, has a relatively poor track record in many of the development and health indicators, including those pertaining to WASH (GoI 2014, 2017a, 2017b). Accordingly, this paper analyzes coverage of key WASH indicators in tribal-dominated geographies of India, for the time period between 2015 and 2021 with an attempt to score and rank them on their performance.
METHODOLOGY
The minimum and maximum values of each indicator were determined from the values of that indicator spread across the districts. The scaled value for each indicator lies between the range of 0–1. Using these scaled values, a composite index score was computed (by taking out mean) using the NFHS-5 data. The composite index score provided the overall performance of each district.
FINDINGS
The total number of households covered in the tribal-dominated districts, in each round of the surveys, was close to 66,400 with the majority of the households headed by male member having a median age of 46 and 47 years, respectively. About two-thirds of the head of the households were illiterate, with majority of them having an education till primary and secondary level. A small change (6%) can be seen in the proportion of households having a pucca house between these two rounds of surveys, but the majority of the households (60%) is semi-pucca houses with two third of them having a nuclear family (66%). About 50% of the households belonged to the poorest and poor category of the wealth index (Table 1).
Socio-demographic characteristics of the respondents
. | 2015 . | 2021 . | ||
---|---|---|---|---|
n . | % . | n . | % . | |
Gender | ||||
Male | 56,766 | 85.5 | 54,286 | 81.7 |
Female | 9,646 | 14.5 | 12,139 | 18.3 |
Total | 66,412 | 100.0 | 66,425 | 100.0 |
Age groups (years) | ||||
15–24 | 1,810 | 2.7 | 1,441 | 2.2 |
25–34 | 11,325 | 17.1 | 10,896 | 16.4 |
35–44 | 15,854 | 23.9 | 15,425 | 23.2 |
45–54 | 16,165 | 24.3 | 16,259 | 24.5 |
55 + | 21,215 | 31.9 | 22,365 | 33.7 |
Did not report | 43 | 0.1 | 39 | 0.1 |
Total | 66,412 | 100.0 | 66,425 | 100.0 |
Education | ||||
No education, preschool | 25,375 | 38.2 | 23,138 | 34.8 |
Primary | 14,084 | 21.2 | 13,618 | 20.5 |
Secondary | 23,580 | 35.5 | 25,914 | 39.0 |
Higher | 3,092 | 4.7 | 3,707 | 5.6 |
Don't know | 281 | 0.4 | 48 | 0.1 |
Total | 66,412 | 100.0 | 66,425 | 100.0 |
Household type | ||||
Kachha | 8,748 | 13.7 | 8,896 | 13.8 |
Semi-pucca | 41,934 | 65.8 | 38,797 | 60.2 |
Pucca | 13,071 | 20.5 | 16,792 | 26.0 |
Total | 63,753 | 100.0 | 64,485 | 100.0 |
Household structure | ||||
Nuclear | 41,994 | 63.2 | 43,563 | 65.6 |
Non-nuclear | 24,418 | 36.8 | 22,862 | 34.4 |
Total | 66,412 | 100.0 | 66,425 | 100.0 |
Wealth Index | ||||
Poorest | 17,510 | 26.4 | 20,772 | 31.3 |
Poorer | 15,001 | 22.6 | 14,996 | 22.6 |
Middle | 14,776 | 22.2 | 12,110 | 18.2 |
Richer | 11,524 | 17.4 | 10,133 | 15.3 |
Richest | 7,601 | 11.4 | 8,414 | 12.7 |
Total | 66,412 | 100.0 | 66,425 | 100.0 |
. | 2015 . | 2021 . | ||
---|---|---|---|---|
n . | % . | n . | % . | |
Gender | ||||
Male | 56,766 | 85.5 | 54,286 | 81.7 |
Female | 9,646 | 14.5 | 12,139 | 18.3 |
Total | 66,412 | 100.0 | 66,425 | 100.0 |
Age groups (years) | ||||
15–24 | 1,810 | 2.7 | 1,441 | 2.2 |
25–34 | 11,325 | 17.1 | 10,896 | 16.4 |
35–44 | 15,854 | 23.9 | 15,425 | 23.2 |
45–54 | 16,165 | 24.3 | 16,259 | 24.5 |
55 + | 21,215 | 31.9 | 22,365 | 33.7 |
Did not report | 43 | 0.1 | 39 | 0.1 |
Total | 66,412 | 100.0 | 66,425 | 100.0 |
Education | ||||
No education, preschool | 25,375 | 38.2 | 23,138 | 34.8 |
Primary | 14,084 | 21.2 | 13,618 | 20.5 |
Secondary | 23,580 | 35.5 | 25,914 | 39.0 |
Higher | 3,092 | 4.7 | 3,707 | 5.6 |
Don't know | 281 | 0.4 | 48 | 0.1 |
Total | 66,412 | 100.0 | 66,425 | 100.0 |
Household type | ||||
Kachha | 8,748 | 13.7 | 8,896 | 13.8 |
Semi-pucca | 41,934 | 65.8 | 38,797 | 60.2 |
Pucca | 13,071 | 20.5 | 16,792 | 26.0 |
Total | 63,753 | 100.0 | 64,485 | 100.0 |
Household structure | ||||
Nuclear | 41,994 | 63.2 | 43,563 | 65.6 |
Non-nuclear | 24,418 | 36.8 | 22,862 | 34.4 |
Total | 66,412 | 100.0 | 66,425 | 100.0 |
Wealth Index | ||||
Poorest | 17,510 | 26.4 | 20,772 | 31.3 |
Poorer | 15,001 | 22.6 | 14,996 | 22.6 |
Middle | 14,776 | 22.2 | 12,110 | 18.2 |
Richer | 11,524 | 17.4 | 10,133 | 15.3 |
Richest | 7,601 | 11.4 | 8,414 | 12.7 |
Total | 66,412 | 100.0 | 66,425 | 100.0 |
The improved sources of drinking water included piped water, public taps, standpipes, tube wells, boreholes, protected dug wells and springs, rainwater, and community reverse osmosis plants. Almost 82% of the household in tribal-dominated districts had access to an improved source of drinking water in 2021 as compared to 76% in 2015 (z = −19.45, p < 0.00001). Within the improved sources of drinking water, a substantial increase was observed in piped water supply to the households. The proportion of the households where water is piped into the dwelling or yard or plot increased from 23% (in 2015) to 31% (in 2021), respectively (z = −32.87, p < 0.00001). Accordingly, the percentage of households with access to an unimproved water source has decreased from 22 to 16% during this period. The proportion of households having improved or unimproved water source and engaged in water treatment has shown an increase (z = −40.61, p < 0.00001). Irrespective of the water source, as many as 68% of the household in the year 2021 (in comparison to 57% in 2015) reported about treating the drinking water using one or the other method with majority of them preferring to boil, straining through cloth, and use ceramic sand or other water filter in both the years (Table 2). There is also an increase in the households, with improved drinking water source, engaged in treatment of drinking water (z = −38.19, p < 0.00001) as well as those which did not have an improved drinking water source but engaged in treating water (z = −14.90, p < 0.00001).
WASH indicators
. | 2015 . | 2021 . | Percentage change . | z-test . | ||
---|---|---|---|---|---|---|
n . | % . | n . | % . | |||
Drinking water facilities and treatment methods | ||||||
Improved sources of drinking water | ||||||
Piped into dwelling/yard/plot | 15,216 | 22.9 | 20,523 | 30.9 | 34.9 | z = −32.87, p < 0.00001 |
Public tap/standpipe | 11,564 | 17.4 | 10,295 | 15.5 | −11.0 | z = 9.33, p < 0.00001 |
Tube well or borehole | 18,270 | 27.5 | 15,935 | 24.0 | −12.8 | z = 14.58, p < 0.00001 |
Protected dug well | 2,832 | 4.3 | 3,296 | 5.0 | 16.4 | z = −6.06, p < 0.00001 |
Protected spring | 2,198 | 3.3 | 2,527 | 3.8 | 15.0 | z = −4.92, p < 0. 00001 |
Rainwater | 920 | 1.4 | 1,300 | 2.0 | 41.3 | z = −8.45, p < 0.00001 |
Community RO Plant | 490 | 0.7 | 429 | 0.6 | −12.4 | z = 2.26, p < 0.0232 |
Unimproved sources of drinking water | ||||||
Unprotected dug well | 6,957 | 10.5 | 4,773 | 7.2 | −31.4 | z = 21.17, p < 0.00001 |
Unprotected spring | 3,414 | 5.1 | 2,653 | 4 | −22.3 | z = 9.61, p < 0.00001 |
Tanker truck/cart with small tank | 359 | 0.5 | 343 | 0.5 | −4.5 | z = 0, p = 1 |
Surface water | 3,868 | 5.8 | 2,332 | 3.5 | −39.7 | z = 19.91, p < 0.00001 |
Bottled water | 168 | 0.3 | 391 | 0.6 | 132.7 | z = −8.16, p < 0.00001 |
Others sources | 156 | 0.2 | 1,628 | 2.5 | 943.6 | z = −36.31, p < 0.00001 |
N | 66,412 | 100.0 | 66,425 | 100.0 | ||
Water treatment done at household | ||||||
No | 28,620 | 43.1 | 21,480 | 32.3 | −24.9 | z = 40.61, p < 0.00001 |
Yes | 37,768 | 56.9 | 44,940 | 67.7 | 19.0 | z = −40.61, p < 0.00001 |
N | 66,412 | 100.0 | 66,425 | 100.0 | ||
Water treatment and source of drinking water | ||||||
Household having improved drinking water source and treat water | 28,954 | 56.2 | 36,713 | 67.6 | 26.8 | z = −38.19, p < 0.00001 |
Household having unimproved drinking water source and treat water | 8,814 | 59.1 | 8,227 | 67.9 | −6.7 | z = −14.90, p < 0.00001 |
Water treatment methods | ||||||
Boil | 25,004 | 66.2 | 30,920 | 68.8 | 23.7 | z = −7.95, p < 0.00001 |
Use alum | 382 | 1.0 | 699 | 1.6 | 83.0 | z = −7.51, p < 0.00001 |
Add bleach/chlorine | 599 | 1.6 | 895 | 2 | 49.4 | z = −4.28, p < 0.00001 |
Strain through cloth | 7,078 | 18.7 | 10,927 | 24.3 | 54.4 | z = −19.44, p < 0.00001 |
Use ceramic, sand or other water filter | 7,774 | 20.6 | 8,961 | 19.9 | 15.3 | z = 2.49, p < 0.01242 |
Use electric purifier | 742 | 2.0 | 680 | 1.5 | −8.4 | z = 5.49, p < 0.00001 |
Allow water to stand and settle | 846 | 2.2 | 1,896 | 4.2 | 124.1 | z = −16.06, p < 0.00001 |
Other | 1,390 | 3.7 | 212 | 0.5 | −84.7 | |
N | 37,768 | 44,940 | ||||
Sanitation facilities | ||||||
Improved, not shared facility | ||||||
Flush/pour flush to piped sewer system | 520 | 0.8 | 1,109 | 1.7 | 113.3 | z = −14.76, p < 0.00001 |
Flush/pour flush to septic tank | 12,772 | 19.2 | 24,143 | 36.3 | 89.0 | z = −69.59, p < 0.00001 |
Flush/pour flush to pit latrine | 9,391 | 14.1 | 11,482 | 17.3 | 22.3 | z = −16.02, p < 0.00001 |
Ventilated improved pit latrine/biogas latrine | 117 | 0.2 | 167 | 0.3 | 42.7 | z = −3.64, p < 0.00026 |
Pit latrine with slab | 5,990 | 9.0 | 6,904 | 10.4 | 15.3 | z = −8.62 p < 0.00001 |
Twin pit, composting toilet | 520 | 0.8 | 2,721 | 4.1 | 423.3 | z = −38.89, p < 0.00001 |
Shared facility | ||||||
Flush/pour flush to piped sewer system | 54 | 0.1 | 114 | 0.2 | 111.1 | z = −4.70, p < 0.00001 |
Flush/pour flush to septic tank | 1,571 | 2.4 | 1,584 | 2.4 | 0.8 | z = 0, p = 1 |
Flush/pour flush to pit latrine | 1,002 | 1.5 | 761 | 1.1 | −24.1 | z = 6.43, p < 0.00001 |
Ventilated improved pit latrine/biogas latrine | 13 | 0.0 | 18 | 0.0 | 38.5 | |
Pit latrine with slab | 764 | 1.2 | 546 | 0.8 | −28.5 | z = 7.32, p < 0.00001 |
Twin pit, composting toilet | 26 | 0 | 211 | 0.3 | 711.5 | z = −14.12, p < 0.00001 |
Unimproved | ||||||
Flush/pour flush not to sewer/septic tank/pit latrine | 1,040 | 1.6 | 577 | 0.9 | −44.5 | z = 11.48, p < 0.00001 |
Pit latrine without slab/open pit | 5,175 | 7.8 | 1,862 | 2.8 | −64.0 | z = 40.67, p < 0.00001 |
Dry toilet | 2,008 | 3 | 1,573 | 2.4 | −21.7 | z = 6.74, p < 0.00001 |
Other | 121 | 0.2 | 193 | 0.3 | 59.5 | z = −3.64, p < 0.00026 |
No facility/uses open space/field | 25,328 | 38.1 | 12,460 | 18.8 | −50.8 | z = 77.95, p < 0.00001 |
N | 66,412 | 100.0 | 66,425 | 100.0 | ||
Hand washing facilities | ||||||
Presence of water at hand washing place | 48,156 | 75.4 | 56,596 | 87.4 | 17.5 | z = −55.34, p < 0.00001 |
Soap or detergent available | 34,712 | 54.3 | 43,854 | 67.8 | 26.3 | z = −49.65, p < 0.00001 |
Ash, mud, sand available | 12,429 | 19.5 | 13,266 | 20.5 | 6.7 | z = −4.48, p < 0.00001 |
Presence of water and Soap or Detergent | 32,213 | 50.4 | 41,999 | 64.9 | 30.4 | z = −52.62, p < 0.00001 |
Presence of water and ash/mud/sand available | 8,924 | 14.0 | 11,396 | 17.6 | 27.7 | z = −17.69, p < 0.00001 |
Presence of water only | 9969 | 15.6 | 8138 | 12.6 | −18.4 | z = 15.46, p < 0.00001 |
N (households in which place for hand washing was observed) | 63,896 | 100.0 | 64,722 | 100.0 |
. | 2015 . | 2021 . | Percentage change . | z-test . | ||
---|---|---|---|---|---|---|
n . | % . | n . | % . | |||
Drinking water facilities and treatment methods | ||||||
Improved sources of drinking water | ||||||
Piped into dwelling/yard/plot | 15,216 | 22.9 | 20,523 | 30.9 | 34.9 | z = −32.87, p < 0.00001 |
Public tap/standpipe | 11,564 | 17.4 | 10,295 | 15.5 | −11.0 | z = 9.33, p < 0.00001 |
Tube well or borehole | 18,270 | 27.5 | 15,935 | 24.0 | −12.8 | z = 14.58, p < 0.00001 |
Protected dug well | 2,832 | 4.3 | 3,296 | 5.0 | 16.4 | z = −6.06, p < 0.00001 |
Protected spring | 2,198 | 3.3 | 2,527 | 3.8 | 15.0 | z = −4.92, p < 0. 00001 |
Rainwater | 920 | 1.4 | 1,300 | 2.0 | 41.3 | z = −8.45, p < 0.00001 |
Community RO Plant | 490 | 0.7 | 429 | 0.6 | −12.4 | z = 2.26, p < 0.0232 |
Unimproved sources of drinking water | ||||||
Unprotected dug well | 6,957 | 10.5 | 4,773 | 7.2 | −31.4 | z = 21.17, p < 0.00001 |
Unprotected spring | 3,414 | 5.1 | 2,653 | 4 | −22.3 | z = 9.61, p < 0.00001 |
Tanker truck/cart with small tank | 359 | 0.5 | 343 | 0.5 | −4.5 | z = 0, p = 1 |
Surface water | 3,868 | 5.8 | 2,332 | 3.5 | −39.7 | z = 19.91, p < 0.00001 |
Bottled water | 168 | 0.3 | 391 | 0.6 | 132.7 | z = −8.16, p < 0.00001 |
Others sources | 156 | 0.2 | 1,628 | 2.5 | 943.6 | z = −36.31, p < 0.00001 |
N | 66,412 | 100.0 | 66,425 | 100.0 | ||
Water treatment done at household | ||||||
No | 28,620 | 43.1 | 21,480 | 32.3 | −24.9 | z = 40.61, p < 0.00001 |
Yes | 37,768 | 56.9 | 44,940 | 67.7 | 19.0 | z = −40.61, p < 0.00001 |
N | 66,412 | 100.0 | 66,425 | 100.0 | ||
Water treatment and source of drinking water | ||||||
Household having improved drinking water source and treat water | 28,954 | 56.2 | 36,713 | 67.6 | 26.8 | z = −38.19, p < 0.00001 |
Household having unimproved drinking water source and treat water | 8,814 | 59.1 | 8,227 | 67.9 | −6.7 | z = −14.90, p < 0.00001 |
Water treatment methods | ||||||
Boil | 25,004 | 66.2 | 30,920 | 68.8 | 23.7 | z = −7.95, p < 0.00001 |
Use alum | 382 | 1.0 | 699 | 1.6 | 83.0 | z = −7.51, p < 0.00001 |
Add bleach/chlorine | 599 | 1.6 | 895 | 2 | 49.4 | z = −4.28, p < 0.00001 |
Strain through cloth | 7,078 | 18.7 | 10,927 | 24.3 | 54.4 | z = −19.44, p < 0.00001 |
Use ceramic, sand or other water filter | 7,774 | 20.6 | 8,961 | 19.9 | 15.3 | z = 2.49, p < 0.01242 |
Use electric purifier | 742 | 2.0 | 680 | 1.5 | −8.4 | z = 5.49, p < 0.00001 |
Allow water to stand and settle | 846 | 2.2 | 1,896 | 4.2 | 124.1 | z = −16.06, p < 0.00001 |
Other | 1,390 | 3.7 | 212 | 0.5 | −84.7 | |
N | 37,768 | 44,940 | ||||
Sanitation facilities | ||||||
Improved, not shared facility | ||||||
Flush/pour flush to piped sewer system | 520 | 0.8 | 1,109 | 1.7 | 113.3 | z = −14.76, p < 0.00001 |
Flush/pour flush to septic tank | 12,772 | 19.2 | 24,143 | 36.3 | 89.0 | z = −69.59, p < 0.00001 |
Flush/pour flush to pit latrine | 9,391 | 14.1 | 11,482 | 17.3 | 22.3 | z = −16.02, p < 0.00001 |
Ventilated improved pit latrine/biogas latrine | 117 | 0.2 | 167 | 0.3 | 42.7 | z = −3.64, p < 0.00026 |
Pit latrine with slab | 5,990 | 9.0 | 6,904 | 10.4 | 15.3 | z = −8.62 p < 0.00001 |
Twin pit, composting toilet | 520 | 0.8 | 2,721 | 4.1 | 423.3 | z = −38.89, p < 0.00001 |
Shared facility | ||||||
Flush/pour flush to piped sewer system | 54 | 0.1 | 114 | 0.2 | 111.1 | z = −4.70, p < 0.00001 |
Flush/pour flush to septic tank | 1,571 | 2.4 | 1,584 | 2.4 | 0.8 | z = 0, p = 1 |
Flush/pour flush to pit latrine | 1,002 | 1.5 | 761 | 1.1 | −24.1 | z = 6.43, p < 0.00001 |
Ventilated improved pit latrine/biogas latrine | 13 | 0.0 | 18 | 0.0 | 38.5 | |
Pit latrine with slab | 764 | 1.2 | 546 | 0.8 | −28.5 | z = 7.32, p < 0.00001 |
Twin pit, composting toilet | 26 | 0 | 211 | 0.3 | 711.5 | z = −14.12, p < 0.00001 |
Unimproved | ||||||
Flush/pour flush not to sewer/septic tank/pit latrine | 1,040 | 1.6 | 577 | 0.9 | −44.5 | z = 11.48, p < 0.00001 |
Pit latrine without slab/open pit | 5,175 | 7.8 | 1,862 | 2.8 | −64.0 | z = 40.67, p < 0.00001 |
Dry toilet | 2,008 | 3 | 1,573 | 2.4 | −21.7 | z = 6.74, p < 0.00001 |
Other | 121 | 0.2 | 193 | 0.3 | 59.5 | z = −3.64, p < 0.00026 |
No facility/uses open space/field | 25,328 | 38.1 | 12,460 | 18.8 | −50.8 | z = 77.95, p < 0.00001 |
N | 66,412 | 100.0 | 66,425 | 100.0 | ||
Hand washing facilities | ||||||
Presence of water at hand washing place | 48,156 | 75.4 | 56,596 | 87.4 | 17.5 | z = −55.34, p < 0.00001 |
Soap or detergent available | 34,712 | 54.3 | 43,854 | 67.8 | 26.3 | z = −49.65, p < 0.00001 |
Ash, mud, sand available | 12,429 | 19.5 | 13,266 | 20.5 | 6.7 | z = −4.48, p < 0.00001 |
Presence of water and Soap or Detergent | 32,213 | 50.4 | 41,999 | 64.9 | 30.4 | z = −52.62, p < 0.00001 |
Presence of water and ash/mud/sand available | 8,924 | 14.0 | 11,396 | 17.6 | 27.7 | z = −17.69, p < 0.00001 |
Presence of water only | 9969 | 15.6 | 8138 | 12.6 | −18.4 | z = 15.46, p < 0.00001 |
N (households in which place for hand washing was observed) | 63,896 | 100.0 | 64,722 | 100.0 |
Improved sanitation facilities included toilet that was not shared and ranged from flush/pour flush toilets to piped sewer systems, septic tanks, and pit latrines; ventilated improved pit (VIP)/biogas latrines; pit latrines with slabs; and twin pit/composting toilets. Our analysis points toward an increase of 26% points in the use of improved sanitation facilities in tribal-dominated districts from 44.1% in 2015 to 70% in 2021 (z = −95.35, p < 0.00001) with a two-fold rise in households having a toilet that are flushed/pour flush to septic tank. Accordingly, the proportion of households using unimproved toilet facilities declined from 13% (in 2015) to 6% (in 2021). A remarkable change which was noticed between 2015 and 2021 was the 50% decline in household practicing open defecation (from 38% in 2015 to 19% in 2021) (z = 77.95, p < 0.00001) (Table 2).
With respect to hand hygiene, a substantial change is noticed between 2015 and 2021. Almost 87% of the household had water at the hand washing place which is higher than that of 2015 (z = −55.34, p < 0.00001). A similar increase is also noted in availability of hand washing item (soap or detergent). Likewise, the proportion of households which have both water and hand washing item (soap or detergent) has increased from 50% in 2015 to 65% in 2021 (z = −52.62, p < 0.00001) (Table 2). District-wise disaggregated data on WASH indicators show improvement in most of the districts between 2015 and 2021 but also indicate the large variations across the districts. For instance, there were 28 districts where the coverage of improved sources of drinking water is less than 80%, while in remaining it ranges between 80 and 99%. Likewise, with respect to improved sanitation, the coverage ranged from as low as 27–100% across different districts with 29 districts having less than 60% coverage (Table 3).
RANKING OF TRIBAL DISTRICTS FOR WASH
Based on the performance of these indicators in the year 2021, we scored the tribal-dominated districts and ranked them (Figure 2). Eight out of the top 10 performing districts were from the north-eastern region of the country. In the 10 least performing districts, half of them were from the central and eastern regions. In contrast to a significant representation of north-eastern districts in top performing districts, two districts, namely, Papum Pare and Aizwal were found to be in least performing districts (Table 4). In comparison to the top performing districts, the proportion of households in ‘poorest’ and ‘poor’ category of wealth quintile is more in least performing districts barring two districts (Table 5). Contrastingly, the proportion of ‘poorest’ and ‘poor’ wealth quintile households is more in bottom six districts of well-performed category.
Ranking of districts based on their performance
Top ten . | Bottom ten . | ||
---|---|---|---|
Districts . | Composite score . | Districts . | Composite score . |
East Jantia Hills | 0.89 | Mayurbhanj | 0.35 |
Anjaw | 0.86 | Koraput | 0.35 |
West Kameng | 0.85 | Pashchimi Singhbhum | 0.33 |
Lower Subansiri | 0.84 | Dhar | 0.31 |
Phek | 0.83 | Papum Pare | 0.30 |
Mamit | 0.82 | Leh (Ladakh) | 0.29 |
Kinnaur | 0.81 | Sundargarh | 0.26 |
Alirajpur | 0.80 | Dadra & Nagar Haveli | 0.24 |
Nicobars | 0.80 | Lakshadweep | 0.05 |
Zunheboto | 0.79 | Aizawl | 0.05 |
Top ten . | Bottom ten . | ||
---|---|---|---|
Districts . | Composite score . | Districts . | Composite score . |
East Jantia Hills | 0.89 | Mayurbhanj | 0.35 |
Anjaw | 0.86 | Koraput | 0.35 |
West Kameng | 0.85 | Pashchimi Singhbhum | 0.33 |
Lower Subansiri | 0.84 | Dhar | 0.31 |
Phek | 0.83 | Papum Pare | 0.30 |
Mamit | 0.82 | Leh (Ladakh) | 0.29 |
Kinnaur | 0.81 | Sundargarh | 0.26 |
Alirajpur | 0.80 | Dadra & Nagar Haveli | 0.24 |
Nicobars | 0.80 | Lakshadweep | 0.05 |
Zunheboto | 0.79 | Aizawl | 0.05 |
Distribution of households by wealth quintilea in top and least performing districts
Districts . | % of HH . | Districts . | % of HH . | ||||
---|---|---|---|---|---|---|---|
Poorest and poorer . | Middle . | Richer and richest . | Poorest and poorer . | Middle . | Richer and richest . | ||
East Jantia Hills | 43% | 18% | 39% | Mayurbhanj | 74% | 13% | 14% |
Anjaw | 54% | 26% | 20% | Koraput | 65% | 16% | 20% |
West Kameng | 5% | 9% | 86% | Pashchimi Singhbhum | 75% | 15% | 11% |
Lower Subansiri | 28% | 23% | 49% | Dhar | 44% | 15% | 40% |
Phek | 50% | 22% | 28% | Papum Pare | 21% | 16% | 63% |
Mamit | 44% | 16% | 40% | Leh (Ladakh) | 20% | 20% | 60% |
Kinnaur | 59% | 20% | 21% | Sundargarh | 56% | 20% | 24% |
Alirajpur | 60% | 24% | 16% | Dadra & Nagar Haveli | 47% | 22% | 30% |
Nicobars | 56% | 24% | 20% | Lakshadweep | 45% | 18% | 37% |
Zunheboto | 40% | 28% | 31% | Aizawl | 29% | 19% | 52% |
Districts . | % of HH . | Districts . | % of HH . | ||||
---|---|---|---|---|---|---|---|
Poorest and poorer . | Middle . | Richer and richest . | Poorest and poorer . | Middle . | Richer and richest . | ||
East Jantia Hills | 43% | 18% | 39% | Mayurbhanj | 74% | 13% | 14% |
Anjaw | 54% | 26% | 20% | Koraput | 65% | 16% | 20% |
West Kameng | 5% | 9% | 86% | Pashchimi Singhbhum | 75% | 15% | 11% |
Lower Subansiri | 28% | 23% | 49% | Dhar | 44% | 15% | 40% |
Phek | 50% | 22% | 28% | Papum Pare | 21% | 16% | 63% |
Mamit | 44% | 16% | 40% | Leh (Ladakh) | 20% | 20% | 60% |
Kinnaur | 59% | 20% | 21% | Sundargarh | 56% | 20% | 24% |
Alirajpur | 60% | 24% | 16% | Dadra & Nagar Haveli | 47% | 22% | 30% |
Nicobars | 56% | 24% | 20% | Lakshadweep | 45% | 18% | 37% |
Zunheboto | 40% | 28% | 31% | Aizawl | 29% | 19% | 52% |
aComputed in the NFHS and includes variables like different household assets, flooring material as well as drinking water source and toilet facilities.
All the tribal-dominated districts were also categorized region-wise to show their relative ranking in their respective regions as well as states (Table 6). We also compared the WASH performance of the year 2021 with the base year (2015). The results showed that barring 13 districts, all other tribal-dominated districts have shown an increase in their performance score in compassion to the year 2015. Close to 50% of these 13 districts are located in Mizoram state alone.
Region-wise ranking of tribal districts
North-eastern . | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ArP | Anjaw | WestKameng | Lower Subansiri | Tawang | Upper Siang | Upper Subansiri | West Siang | Dibang Valley | Tirap | EastKameng | East Siang | KurungKumey | Papum Pare |
2021 | 0.86 | 0.85 | 0.84 | 0.76 | 0.76 | 0.75 | 0.74 | 0.70 | 0.65 | 0.64 | 0.57 | 0.42 | 0.30 |
2015 | 0.49 | 0.49 | 0.63 | 0.46 | 0.53 | 0.56 | 0.56 | 0.53 | 0.53 | 0.33 | 0.51 | 0.66 | 0.72 |
NL | Phek | Zunheboto | Longleng | Peren | Mon | Tuensang | Wokha | Kiphire | Mokokchung | Kohima | Dimapur | ||
2021 | 0.83 | 0.79 | 0.78 | 0.78 | 0.75 | 0.72 | 0.71 | 0.67 | 0.65 | 0.49 | 0.36 | ||
2015 | 0.75 | 0.60 | 0.52 | 0.59 | 0.64 | 0.55 | 0.53 | 0.56 | 0.50 | 0.82 | 0.75 | ||
MZ | Mamit | Lawngtlai | Champhai | Lunglei | Saiha | Serchhip | Kolasib | Aizawl | |||||
2021 | 0.82 | 0.69 | 0.59 | 0.48 | 0.47 | 0.45 | 0.36 | 0.05 | |||||
2015 | 0.53 | 0.48 | 0.95 | 0.70 | 0.93 | 0.85 | 0.73 | 0.16 | |||||
MEGH | East Jantia Hills | Ribhoi | West Khasi Hills | West Jaintia Hills | South Garo Hills | West Garo Hills | East Garo Hills | East Khasi Hills | |||||
2021 | 0.89 | 0.78 | 0.77 | 0.72 | 0.71 | 0.68 | 0.66 | 0.41 | |||||
2015 | 0.72 | 0.59 | 0.75 | 0.67 | 0.46 | 0.37 | 0.82 | ||||||
Manipur | Senapati | Chandel | Tamenglong | Churachandpur | Ukhrul | ||||||||
2021 | 0.75 | 0.66 | 0.65 | 0.64 | 0.63 | ||||||||
2015 | 0.60 | 0.56 | 0.52 | 0.54 | 0.53 | ||||||||
Assam | Karbi Anglong | Dima Hasao | |||||||||||
2021 | 0.55 | 0.39 | |||||||||||
2015 | 0.31 | 0.27 | |||||||||||
Tripura | Dhalai | ||||||||||||
2021 | 0.54 | ||||||||||||
2015 | 0.40 | ||||||||||||
Central and eastern India . | |||||||||||||
Odisha | Gajapati | Nabarangapur | Malkangiri | Kandhamal | Rayagada | Mayurbhanj | Koraput | Sundargarh | |||||
2021 | 0.47 | 0.47 | 0.44 | 0.42 | 0.42 | 0.35 | 0.35 | 0.26 | |||||
2015 | 0.25 | 0.30 | 0.27 | 0.23 | 0.24 | 0.31 | 0.22 | 0.37 | |||||
CG | Uttar Bastar Kanker | Jashpur | Surguja | Dantewada | Bastar | Narayanpur | Bijapur | ||||||
2021 | 0.77 | 0.62 | 0.61 | 0.49 | 0.49 | 0.49 | 0.47 | ||||||
2015 | 0.47 | 0.35 | 0.32 | 0.28 | 0.31 | 0.29 | 0.40 | ||||||
MP | Alirajpur | Jhabua | Barwani | Dindori | Mandla | Dhar | |||||||
2021 | 0.80 | 0.62 | 0.59 | 0.56 | 0.55 | 0.31 | |||||||
2015 | 0.35 | 0.35 | 0.38 | 0.24 | 0.25 | 0.44 | |||||||
JH | Simdega | Lohardaga | Khunti | Gumla | PashchimiSinghbhum | ||||||||
2021 | 0.61 | 0.57 | 0.46 | 0.46 | 0.33 | ||||||||
2015 | 0.23 | 0.24 | 0.26 | 0.22 | 0.17 | ||||||||
Western region . | |||||||||||||
Gujarat | Tapi | The Dangs | Narmada | Dohad | Valsad | ||||||||
2021 | 0.67 | 0.64 | 0.61 | 0.53 | 0.44 | ||||||||
2015 | 0.43 | 0.32 | 0.46 | 0.29 | 0.22 | ||||||||
RAJ | Dungarpur | Banswara | Pratapgarh | ||||||||||
2021 | 0.75 | 0.69 | 0.56 | ||||||||||
2015 | 0.56 | 0.49 | 0.36 | ||||||||||
MH | Nandurbar | ||||||||||||
2021 | 0.43 | ||||||||||||
2015 | 0.35 | ||||||||||||
D&N D & Diu | Dadra & Nagar Haveli | ||||||||||||
2021 | 0.24 | ||||||||||||
2015 | 0.11 | ||||||||||||
Other regions . | |||||||||||||
Ladakh | Kargil | Leh (Ladakh) | |||||||||||
2021 | 0.45 | 0.29 | |||||||||||
2015 | 0.26 | 0.15 | |||||||||||
HP | Kinnaur | Lahul & Spiti | |||||||||||
2021 | 0.81 | 0.65 | |||||||||||
2015 | 0.57 | 0.48 | |||||||||||
LKSDP | Lakshadweep | ||||||||||||
2021 | 0.05 | ||||||||||||
2015 | 0.04 | ||||||||||||
A&N | Nicobars | ||||||||||||
2021 | 0.80 | ||||||||||||
2015 | 0.76 |
North-eastern . | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ArP | Anjaw | WestKameng | Lower Subansiri | Tawang | Upper Siang | Upper Subansiri | West Siang | Dibang Valley | Tirap | EastKameng | East Siang | KurungKumey | Papum Pare |
2021 | 0.86 | 0.85 | 0.84 | 0.76 | 0.76 | 0.75 | 0.74 | 0.70 | 0.65 | 0.64 | 0.57 | 0.42 | 0.30 |
2015 | 0.49 | 0.49 | 0.63 | 0.46 | 0.53 | 0.56 | 0.56 | 0.53 | 0.53 | 0.33 | 0.51 | 0.66 | 0.72 |
NL | Phek | Zunheboto | Longleng | Peren | Mon | Tuensang | Wokha | Kiphire | Mokokchung | Kohima | Dimapur | ||
2021 | 0.83 | 0.79 | 0.78 | 0.78 | 0.75 | 0.72 | 0.71 | 0.67 | 0.65 | 0.49 | 0.36 | ||
2015 | 0.75 | 0.60 | 0.52 | 0.59 | 0.64 | 0.55 | 0.53 | 0.56 | 0.50 | 0.82 | 0.75 | ||
MZ | Mamit | Lawngtlai | Champhai | Lunglei | Saiha | Serchhip | Kolasib | Aizawl | |||||
2021 | 0.82 | 0.69 | 0.59 | 0.48 | 0.47 | 0.45 | 0.36 | 0.05 | |||||
2015 | 0.53 | 0.48 | 0.95 | 0.70 | 0.93 | 0.85 | 0.73 | 0.16 | |||||
MEGH | East Jantia Hills | Ribhoi | West Khasi Hills | West Jaintia Hills | South Garo Hills | West Garo Hills | East Garo Hills | East Khasi Hills | |||||
2021 | 0.89 | 0.78 | 0.77 | 0.72 | 0.71 | 0.68 | 0.66 | 0.41 | |||||
2015 | 0.72 | 0.59 | 0.75 | 0.67 | 0.46 | 0.37 | 0.82 | ||||||
Manipur | Senapati | Chandel | Tamenglong | Churachandpur | Ukhrul | ||||||||
2021 | 0.75 | 0.66 | 0.65 | 0.64 | 0.63 | ||||||||
2015 | 0.60 | 0.56 | 0.52 | 0.54 | 0.53 | ||||||||
Assam | Karbi Anglong | Dima Hasao | |||||||||||
2021 | 0.55 | 0.39 | |||||||||||
2015 | 0.31 | 0.27 | |||||||||||
Tripura | Dhalai | ||||||||||||
2021 | 0.54 | ||||||||||||
2015 | 0.40 | ||||||||||||
Central and eastern India . | |||||||||||||
Odisha | Gajapati | Nabarangapur | Malkangiri | Kandhamal | Rayagada | Mayurbhanj | Koraput | Sundargarh | |||||
2021 | 0.47 | 0.47 | 0.44 | 0.42 | 0.42 | 0.35 | 0.35 | 0.26 | |||||
2015 | 0.25 | 0.30 | 0.27 | 0.23 | 0.24 | 0.31 | 0.22 | 0.37 | |||||
CG | Uttar Bastar Kanker | Jashpur | Surguja | Dantewada | Bastar | Narayanpur | Bijapur | ||||||
2021 | 0.77 | 0.62 | 0.61 | 0.49 | 0.49 | 0.49 | 0.47 | ||||||
2015 | 0.47 | 0.35 | 0.32 | 0.28 | 0.31 | 0.29 | 0.40 | ||||||
MP | Alirajpur | Jhabua | Barwani | Dindori | Mandla | Dhar | |||||||
2021 | 0.80 | 0.62 | 0.59 | 0.56 | 0.55 | 0.31 | |||||||
2015 | 0.35 | 0.35 | 0.38 | 0.24 | 0.25 | 0.44 | |||||||
JH | Simdega | Lohardaga | Khunti | Gumla | PashchimiSinghbhum | ||||||||
2021 | 0.61 | 0.57 | 0.46 | 0.46 | 0.33 | ||||||||
2015 | 0.23 | 0.24 | 0.26 | 0.22 | 0.17 | ||||||||
Western region . | |||||||||||||
Gujarat | Tapi | The Dangs | Narmada | Dohad | Valsad | ||||||||
2021 | 0.67 | 0.64 | 0.61 | 0.53 | 0.44 | ||||||||
2015 | 0.43 | 0.32 | 0.46 | 0.29 | 0.22 | ||||||||
RAJ | Dungarpur | Banswara | Pratapgarh | ||||||||||
2021 | 0.75 | 0.69 | 0.56 | ||||||||||
2015 | 0.56 | 0.49 | 0.36 | ||||||||||
MH | Nandurbar | ||||||||||||
2021 | 0.43 | ||||||||||||
2015 | 0.35 | ||||||||||||
D&N D & Diu | Dadra & Nagar Haveli | ||||||||||||
2021 | 0.24 | ||||||||||||
2015 | 0.11 | ||||||||||||
Other regions . | |||||||||||||
Ladakh | Kargil | Leh (Ladakh) | |||||||||||
2021 | 0.45 | 0.29 | |||||||||||
2015 | 0.26 | 0.15 | |||||||||||
HP | Kinnaur | Lahul & Spiti | |||||||||||
2021 | 0.81 | 0.65 | |||||||||||
2015 | 0.57 | 0.48 | |||||||||||
LKSDP | Lakshadweep | ||||||||||||
2021 | 0.05 | ||||||||||||
2015 | 0.04 | ||||||||||||
A&N | Nicobars | ||||||||||||
2021 | 0.80 | ||||||||||||
2015 | 0.76 |
DISCUSSION
India, being the second most populous country in the world, holds a unique position in terms of its contribution toward the SDGs, which every nation is striving to achieve. The country has made considerable progress toward SDG targets 6.1 and 6.2, which pertains to WASH, through various policy level and programmatic initiatives. Two key such initiatives are SBM and JJM)=. SBM, which was launched in 2014, aims to achieve an open defecation free India. The SBM, and particularly sub-mission SBM (Grammen), through mass scale behavior change, construction of household-owned and community-owned toilets, incentivization, and establishing mechanisms for monitoring toilet construction and usage, has helped 100 million rural households and 500 million residents in gaining access to toilets across 630,000 villages (Government of India n.d.; Ministry of Drinking Water & Sanitation 2018; Access to toilets n.d.). Reports indicate that 95% households have access to toilet and use them (Access to toilets n.d.; Government of India 2022a, 2022b). The phase-II of the SBM (Grammen) is also noteworthy in that it focuses on sustaining the gains made by providing access to toilet facilities to the newly emerging eligible rural households and solid and liquid waste management in the villages of the country in forthcoming years (2020–2025) (Government of India 2020). Before SBM, programs such as Central Rural Sanitation Program, Total Sanitation Campaign and Nirmal Bharat Abhiyan were in place to improve access to safe sanitation and cleanliness. However, these programs made some improvement at the ground level but fell short to achieve their targets (Report of the Comptroller & Auditor General of India 2015) and could not bring needful impact (Patil et al. 2014). The other initiative JJM, which subsumed the National Rural Drinking Water Program by its launch in 2019, is ensuring potable water in adequate quantity, of prescribed quality, with adequate pressure, on a regular and long-term basis to all rural households and public institutions. Under this mission, till March 2022, 102.3 million rural households (54%) have received the benefit of having tap water connections (Government of India 2022a, 2022b).
Tribal regions of the country have reaped the benefits of these programmatic interventions, which gets reflected in our findings. There were distinct improvements in key WASH indicators in tribal-dominated regions of the country between 2015 and 2021. One of the marked improvements was in terms of 50% fall seen in open defecation in the tribal regions (from 38% in 2015 to 19% in 2021), which is almost twice than the average drop seen in rural areas during the same time (54% in 2015 to 26% in 2021). A concurrent 26% increase in improved toilet facilities (from 44% in 2015 to 70% in 2021) was at par with the improvement seen in rural areas of the country (37% in 2015 to 64% in 2021) and indicated acceptance and usage of improved toilet facilities among tribal population. Though the coverage of improved source of water had further improved in tribal-dominated regions between 2015 and 2021, 70% of households did not have access to piped water supply, particularly to their home, with ramifications ranging from health issues to additional responsibilities which school going children, adolescent girls, and women member of the society need to bear on in terms of fetching water (UNICEF n.d). The WASH-related programmatic interventions equally focused on the behavior change component in their respective implementation strategies, and our findings showed an improvement in behaviors linked to the handwashing and treatment of drinking water. The increase in tribal households (14%) having both water and hand washing items (at hand washing place) was at par with the rural areas (50% in 2015 to 64% in 2021). A similar level of improvement in households practicing the treatment of drinking water was noticeable in the tribal regions. It is pertinent to note that the households having access to improved or unimproved drinking water source were engaged in treatment of drinking water, which is indicative of adoption of improved behavior and practice among the people.
However, improvement in these WASH indicators was not uniform across the tribal-dominated geographies with some districts performing very well while others not so in their coverage in the year 2021, which is evident in the ranking of these districts. There are possibilities that the variance in district performance could be due to the differences in the socio-economic status or the reach of the programmatic interventions. In relation to the socio-economic status, it would be apt to highlight here that close to 54% of the households across these districts fall in poorest or poor categories of the wealth quintile. However, the linkages between the socio-economic status and WASH performance get reflected at least in the case of top most and least performing districts though the pattern is not uniform as there are exceptional cases such as Papum Pare and Leh (among least performing category) and Kinnaur, Alirajpur, Phek, Mamit, and Nicobars (among top performing category). These exceptional cases possibly indicate toward better reach or implementation of the programmatic interventions, which gets further evident from the improved performance of these exceptional districts in comparison to 2015 (except Papum Pare). It is noteworthy that in comparison to 2015, 86% of the districts have shown an improvement over this time period further pointing toward the districts reaping the benefits of the programmatic interventions. The findings also pointed out toward 13 districts slipping in their performance in comparison to 2015. The reasons for the same would be difficult to establish given the limited WASH-related variables which are captured in the NFHS. The district-wise disaggregated analysis also pointed toward the wide range of district performance indicating that there is a still a scope of further improving the water and sanitation situation in the districts. However, the districts falling toward the bottom side of the ranking ladder require more attention and efforts of programmatic interventions.
Our analysis has certain limitations. There is no separate nationally representative comprehensive survey of the WASH situation in the tribal population. In its absence, the comparisons made with rural population may not be very apt. Further, the definition of some WASH indicators (as defined in NFHS) may not be in congruence with the definitions accepted in the international forums and thus needs to be understood with due diligence. For instance, public tap, standpipe, piped water in neighborhood, tanker truck or cart with small tank, are not considered as the improved sources of drinking water in safely managed drinking water services. Similarly, water availability criteria, i.e., continuously or at least 12 h per day or 4 days per week are not captured in the existing survey. With respect to sanitation, the improved facilities which are shared do not fall under the safely managed sanitation services. This points toward the need for incorporating the standardized and universally accepted WASH-related indicators in large-scale surveys that are carried out in the country. These limitations also point toward the scope of having a separate comprehensive survey among tribal population of the country. The inclusive, equitable and subset analysis would further facilitate in monitoring the WASH progress and taking up necessary action to be on track.
CONCLUSION
Providing and ensuring universal and equitable access to environmentally safe sanitation and affordable drinking water facilities to huge population, more so in tribal-dominated geographies, of the country are a challenging effort. The country has made an extraordinary achievement in the past 5 years and the gains of these achievements are well documented (Government of India 2017a, 2017b; UNICEF 2017; WHO 2018). However, the progress has to be sustained and further reinforced, should we aim to reach the SDG targets of 100% WASH coverage. The WASH ranking of the tribal-dominated districts is a useful tool to assess WASH coverage for prioritizing districts for WASH service coverage and for institution of definitive action. A package of interventions should be designed and implemented for the priority districts through the SBA platform in convergence with the relevant departments of Health, Tribal Affairs, Water and Sanitation, etc., which will set us on the path to achieving SDG WASH targets by 2030.
FUNDING
The authors declare that there is no financial support received.
DATA AVAILABILITY STATEMENT
All relevant data are available from an online repository or repositories: https://dhsprogram.com/dataset/India_Standard-DHS_2020.cfm?flag=0.
CONFLICT OF INTEREST
The authors declare there is no conflict.