Progress in delivering SDG6: Safe water and sanitation
Bibliographic record
Abstract
Abstract Sustainable development goal 6 (SDG6) is to ensure the availability and sustainable management of safe water and sanitation for all by 2030. The water and sanitation goals are defined by 8 targets that specify the goals, and the progress towards the 2030 Agenda for sustainable development is measured with 11 indicators as metrics by which the world aims to track whether these targets are achieved. This article presents the current global progress against these indicators. During 2015–2020, globally the proportion of population with access to safely managed drinking water services improved from 70% to 74%, safely managed sanitation services grew from 47% to 54%, and handwashing facilities with soap and water increased from 67% to 71%. Among the world’s regions, many Sub-Saharan African countries may not be able to achieve even the target of basic water and sanitation services by 2030, with 61% access to basic water supply (compared to 90% globally) and 31% for sanitation (compared to 84% globally). There are also significant inequalities between rural and urban access to these services. Eight out of 10 people without basic water services lived in rural areas, while safely managed sanitation services reached 62%of the world’s urban population, but only 44% of its rural population. The world is on track to eliminate open defecation by 2030. The business-as-usual rates of progress would need to double for the world to achieve universal coverage with basic water and sanitation services by 2030. To achieve universal safely managed services, rates would need to quadruple. To achieve universal access to safely managed drinking water by 2030 in low- and middle-income countries, the current rates would need to increase ten-fold. Some barriers to progress are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.025 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.021 | 0.007 |
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 source (direct Gemma or distilled Codex), 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".