Prevalence and burden of no-toilet households in India: an analysis of 261,746 households in 36 states/Union Territories in 2022–2023
Bibliographic record
Abstract
India's Swachh Bharat Abhiyan was a nation-wide program aimed at providing households with toilets to eliminate open defecation. Between 2016 and 2021, millions of households gained access to a toilet. However, as of 2021, over 238 million people still did not have a toilet, and there was considerable variation in this outcome between India's states and Union Territories. We update the estimates on the number of no-toilet households in India using India's Household Consumption Expenditure Survey from 2022 to 2023. We find that 12.5% of India's households, most of which are in rural communities, still have no toilet. This amounts to over 162 million people still living without a toilet. Over 70% of those without a toilet live in just six states, and the lowest socioeconomic status households are the least likely to have a toilet. This emphasizes the need for policy makers to target states and socioeconomic groups that are lagging. Furthermore, policy makers should understand that a household's toilet status can fluctuate because of adverse climate events, such as flooding. This evidence highlights the need for accurate and up-to-date data on no-toilet households throughout India.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".