The annual Swachhata Hi Seva campaign has been rolled out across ministries, with a PIB backgrounder setting out where the Swachh Bharat Mission has reached. Almost every ministry has simultaneously announced Special Campaign 6.0, running 2–31 October 2026.

Figure 1 — Urban sanitation: the position as of 17 September 2026

Note the asymmetry: door-to-door collection has reached far more wards than segregation at source — the step on which composting and waste-to-energy actually depend. Infographic courtesy Press Information Bureau, Ministry of Housing & Urban Affairs; reproduced with credit for educational use.

Figure 2 — Rural sanitation: the position as of 17 September 2026

Of the 5.69 lakh ODF Plus villages, 5.25 lakh have reached Model status — the highest rung. Infographic courtesy Press Information Bureau, Ministry of Jal Shakti; reproduced with credit for educational use.

• Swachh Survekshan — the annual cleanliness survey and ranking of cities, which introduced competitive federalism into municipal sanitation. Linked to the Star Rating Protocol for Garbage Free Cities.
• Solid Waste Management Rules, 2016 — make source segregation into wet, dry and domestic hazardous waste a legal duty of the waste generator, and introduce user fees and spot fines.
• Plastic Waste Management Rules, 2016, with Extended Producer Responsibility and the 2022 ban on identified single-use plastic items.
• AMRUT and AMRUT 2.0 — the parallel urban mission funding water supply and sewerage and septage management.
• 15th Finance Commission grants to rural and urban local bodies are partly tied to sanitation and drinking-water outcomes — an important fiscal lever.
• Constitutional anchor: sanitation is a function devolved to local bodies under the Eleventh and Twelfth Schedules (Articles 243G and 243W) — which is why capacity at the panchayat and municipal level decides outcomes.

• Segregation is the weak link. Collection has outrun segregation, and a compost or waste-to-energy plant fed mixed waste operates far below design capacity. The 60 waste-to-energy plants must be read against this.
• Treatment capacity is thin. A little over 2,200 sewage and faecal sludge treatment plants for the urban population implies that a large share of urban wastewater is still discharged untreated — with direct consequences for river water quality.
• Sustaining ODF is a behavioural problem, not a construction one. Slippage, non-use and defunct toilets are documented risks, and verification by self-declaration has attracted scrutiny.
• Sanitation workers. The mission’s labour rests on manual scavenging-adjacent work; the Prohibition of Employment as Manual Scavengers Act, 2013 and the NAMASTE scheme address mechanisation and worker dignity, and any full answer on SBM should mention them.
• Operations and maintenance financing. Capital grants build plants; user charges and municipal revenues keep them running. This is the unresolved question behind almost every sanitation asset in India.

The PM Vishwakarma scheme has completed three years, with 30 lakh artisans registered. It targets a group that most credit and skilling schemes have historically missed — the family-based traditional artisan working with hand tools in the unorganised sector.

• SFURTI — Scheme of Fund for Regeneration of Traditional Industries, which organises traditional artisans into clusters with common facility centres.
• ASPIRE — promotes innovation and rural entrepreneurship through livelihood business incubators.
• PMEGP — the credit-linked subsidy programme for setting up micro-enterprises, run through KVIC.
• PM SVANidhi — collateral-free working capital for street vendors; a close design cousin, and the reason the two schemes have mutual exclusion clauses.
• e-Shram — the national database of unorganised workers, the broader identity project into which artisan registration fits.
• Constitutional and policy context: Article 43 (DPSP) speaks of promoting cottage industries; the informal sector accounts for the overwhelming majority of India’s workforce, which is why formalisation-through-identity has become the dominant policy instrument.

• Registration is not benefit. 30 lakh registrations is an input measure. The meaningful tests are how many completed training, how many received toolkits and, above all, how many actually drew the credit tranches — conversion has been the recurring concern in artisan credit schemes.
• The verification chain can exclude. Requiring panchayat or ULB endorsement gives local functionaries discretionary power over who is recognised as a traditional artisan — a known route to exclusion errors.
• The 18-trade list is closed. Many artisanal occupations — several weaving, dyeing, bamboo, lacquer and metal-craft traditions — sit outside it, and inclusion depends on administrative revision rather than a right.
• The demand-side problem. A better-tooled potter still needs buyers. Cheap machine-made substitutes are the structural pressure on handicrafts, which is why market linkage and design intervention matter more than the loan size.
• Family-based eligibility can sit awkwardly with mobility: it recognises the artisan within an inherited occupation, and critics ask whether welfare should reinforce hereditary occupational identity, particularly given its caste associations.

The Ministry of Statistics and Programme Implementation (MoSPI) has released a Labour Market Snapshot of Selected Districts — a significant step, because India’s official employment statistics have historically stopped at the State level.

• Because policy is delivered at the district. MGNREGA works allocation, skilling centres, industrial cluster siting and migrant support are district decisions made, at present, largely without district labour data.
• Because State averages conceal enormous variation. A State with a healthy average can contain districts of acute distress, and an average cannot show you which.
• Because it enables evaluation. Repeated district snapshots make it possible to ask whether an intervention changed anything in the place it was applied.
• The cautions: smaller samples mean wider margins of error; district figures should be read as indicative, and compared over time rather than ranked against each other with false precision.