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India Water Canvas · v1.0 · public digital good

Where in India is water in trouble — and what does it cost to fix?

Same numbers. Different doors in. Pick the role that fits — the question, the framing, and the next step adapt to you.

National situation · click any number to see what it composes

2026-05-11 · CC BY-NC 4.0 · open methodology at methodology.html · open data CSVs · clone & fork at Ashwask/RFPartnerMap · all numbers ±30% directional

Investment Thesis Dashboard

India Water System — Water Canvas

National Ecosystem Intelligence · Systems Mapping · Unit Economics · Pan-India Actor Landscape

India holds 4% of global freshwater for 18% of global population, runs on ~25% of all groundwater extracted globally, and is poised to cross water scarcity (≤1,000 m³/capita/yr) by 2030 on current trajectory. The state spends ₹2.5–3.5 L cr/yr across schemes; ~₹3,000–5,000 cr/yr of that disbursement does not produce its claimed outcome. This canvas maps the system: water signals, infrastructure gaps, unit economics, the funder ecosystem, and the institutional vehicle that does not yet exist. Anchored to JJM 2.0 ₹8.69 L cr (Mar 2026), CGWB GEC 2023, ICIMOD, CAG 2022 + 2024, MCA CSR FY25.

Open data · CC BY-NC 4.0 · Leaflet · D3 · Chart.js · OpenStreetMap · prose-first internal strategy

--:--:-- --
India's water in eight numbers

Resource state in m³/capita/year · GW stress in % blocks · Capital flows in ₹ crore · Numbers ±30% directional. Baseline: CGWB GEC 2023 · CWC · CAG 2022/2024 · MCA FY25.

§1 · the place zone

Pick a place · see what's true there

Default is India. Pick a state from the Geography dropdown above · click any state on the map · or pick a basin. The page rewires to that place.

Pick a place · see what's true there

Pick a place. See its three axes — Health (water quality + ecosystem state), Availability (water quantity + reliability), Impact (people + economy + climate exposure). Then see the binding feedback loop and the specific intervention this place needs.

Map mode Click any state for the place profile
Critical (score <30)
Stressed (30–55)
Declining (55–75)
Stable (>75)
Phase 0 site
Funder HQ
§3 · the movement zone

What's moving · year over year

Seven things we track over time · with honest fidelity markers. The big chart-heavy sections that follow are the deep read · skim or skip as needed.

What's moving · year over year All-India baseline

Seven things that should be moving · year over year. The dots beside each show how confident we are in the data: ●●● strong · ●●○ partial · ●○○ thin · — not yet tracked.

How India's water actually moves

Width = volume (BCM, billion cubic metres). India total annual extractable: ~1,123 BCM rainfall + ~432 BCM groundwater recharge. Flows ±30% directional.

The seven layers compound — each rests on the one below. Cost tier per layer: ₹10 cr (pilot) → ₹100 cr (state-scale) → ₹1,000 cr (national). Source: gaps-deepdive.md.

5-phase build, ~₹500–1,000 cr cumulative over 10 years. Multi-anchor capital structure (≥3 uncorrelated funders, non-substitution clauses). Source: build-plan.md.

What it costs · what's missing

Cost per asset across the civic-side build. Numbers ±30% directional. Comparable to one mid-sized urban water-supply scheme augmentation at full scale.

Build-Plan Capex Reconciliation
Whitespace seedCapex (₹ cr)7-stack layerBuild phaseMultiplier on government scheme

Eight binding constraints ranked by severity (1–10). Most are political-economy locks, not capital constraints.

What India has built · What is structurally absent. Source: gaps.md, data-and-groundtruth.md.

✓ What Exists
✗ What is Missing

~₹3,000–5,000 cr/yr of disbursement that does not produce its claimed outcome — comparable to the entire annual Indian + foreign philanthropic + impact-finance water layer combined. Closing the capture is a higher-leverage move than expanding the philanthropic envelope.

Compare places · side by side Pick up to 3

Select 2-3 states to compare H/A/I scores · binding loops · build envelopes · partners side-by-side.

§2 · the engagement zone

Who's working on this

Implementing partners, funders, market vendors — sorted to who's active in your place when you pick one. Failed market players (Sarvajal · Spring Health · Naandi) shown alongside operational ones · transparency over varnish.

Who's working on this

~80% of domestic water philanthropy flows through 10–12 implementing NGOs. The bench is one-deep behind a small front rank. Source: funders-flow.md.

PartnerTypeGeographyApprox ₹/yrLead funders

22 funders ranked by annual disbursement. Government schemes deploy 90%+ of rupee weight; the remaining 10% is where philanthropic shape decides everything else.

Six whitespace seeds aggregating ~₹520–810 cr capex over 10 years. Each mapped to the 7-stack layer it primarily fills. Source: funders-ecosystem.md.

Who sells solutions · including failures30 entries

For-profit market actors providing water goods/services. Operational + failed (full canon: Sarvajal · Spring Health · Naandi · Waterlife) displayed alongside. Filter by state · sort by water-body specialty.

How we measure progress — or the lack of it

A public-good artefact must be falsifiable. Below: four decision gates with explicit pass criteria and posture-if-failed; twelve structural hard questions, each with a "what would change my mind" test; the capture envelope tracker; and the author's own uncertainty disclosure.

Four decision gates · Y0 / Y2 / Y5 / Y10

Year 0 · Launch gate
2026
  • ≥3 anchor commitments with non-substitution clauses
  • Founding team intact (7 of 9 hires)
  • Cauvery + cryosphere scope agreed
  • Methodology reviewer sign-off
If pass: Phase 1 begins
If fail: Hold at diagnostic floor; recruit fourth anchor
Year 2 · Close gate
2028
  • Cauvery basin twin operational with CWMA
  • ≥250K MAU on vernacular dashboard
  • Audit muscle has published ≥3 evidentially-credible findings
  • Curriculum pilot in ≥1K Karnataka schools
If pass: Phase 2-3 begins
If fail: Extend Phase 0+1 by 12 months
Year 5 · Close gate
2031
  • Punjab demand-side pilot signed at state level
  • Federated API across ≥3 willing state partners
  • Basin twins ×3 (Cauvery + Krishna + Mahanadi)
  • Capture envelope reduced ≥10% from baseline
If pass: Phase 4-5 begins
If fail: Contract scope; reroute to imagination + legal-reform
Year 10 · Close gate
2036
  • NWIS-class civic aggregator live
  • ≥10 state partnerships
  • River Boards Act invocation on one major basin
  • Capture envelope reduced ≥25%
If pass: Endow + institutional handoff
If fail: Document learnings; hand off to state agencies

Twelve hard questions · where this thesis could be wrong

Each question carries an explicit falsifiable test. Click to expand. Open an issue to dispute.

Capture envelope tracker

~₹3-5K cr
Annual capture envelope (current)
25%
Closure target by Year 10
~₹30-50 cr
Audit cost to verify entire envelope
~₹750-1,250 cr/yr
Recoverable water spend at 25% closure

Author uncertainty disclosure

The artefact carries author-judgment in places where data is sparse or contested. Confidence intervals where I have a sense of them:

What the numbers hide

Eight structural patterns the official dashboards and scheme reports do not surface. Each is named, severity-rated, and explains why it matters for an investment-grade decision.

Where water meets the rest

Water is not a sector. It is the substrate every other sector consumes, contaminates, and depends on. Click a state in Place Explorer above — the relevant case cards spotlight + numbers re-anchor here.

Showing
Pan-India view · all intersections
Click any state in the map to anchor the intersections to that place.
Water × energy is one operational system across many geographies
Free agri electricity, irrigation pumping, hydropower, thermal-cooling water, urban long-haul pumping, data-centre cooling, solar pumps. Six concrete geographies below — Punjab is one canonical case among many.
Power + Water + Agriculture sit in three siloed ministries; the loop runs across all of them. The intersection is not a regional story — it shows up in different forms across paddy belts, sugar belts, hydro belts, thermal belts, and the data-centre clusters.
~₹50–70K cr
Free agricultural electricity subsidy/yr (national)
~30M
Agricultural tubewells · majority unmetered
~12–15%
Of Indian electricity → agri pumping
~80%
Industrial water = thermal cooling (3–4 BCM/yr)
12–15%
Of electricity from hydropower · glacier-vulnerable
30 L
PM-KUSUM solar pumps subsidised · could amplify pumping
Paddy belt · Punjab + Haryana
79% blocks over-exploited · 1m/yr fall
Free electricity + MSP paddy = canonical R1 loop. Punjab Pani Bachao Paise Kamao DBT pilot is the precedent. PSPCL + Punjab Agricultural University + PSPCB.
Sugarcane belt · Marathwada + Western MH
Sugar = 2,200 mm/season vs 350mm millets
Sugar cooperatives + free electricity + drought-belt sugarcane is structurally insane water-economics. Maharashtra State Electricity Distribution + sugar cooperative network. Marathwada drought 6 in 10 years; sugar continues.
Cauvery delta paddy · Tamil Nadu
TN Groundwater Act 2003 · partial precedent
One of India's earliest GW regulation acts. TANGEDCO + TWAD Board + Tamil Nadu Agricultural University. Delta over-extraction continues despite act; enforcement gap shows what's needed beyond legislation.
Mission Bhagiratha pumping · Telangana
~₹43,000 cr · 1.3 cr HH piped supply
India's most ambitious single-state piped-water programme. Massive long-haul pumping electricity cost. TSSPDCL + state government. Demonstrates supply-side scale; demand-side reform untouched.
Long-haul urban pumping · Bengaluru
Cauvery → 175km lift · ~1,400 MW
BWSSB pumps Cauvery water from Stage 1-V over 175km elevation gain. ~1,400 MW continuous demand. Stage VI in tender (₹6,939 cr); tariff politics frozen since 2014. Replicates in Hyderabad (Krishna), Chennai (Veeranam).
Hydropower belt · Himalayan + NE
12-15% of grid · cryosphere-vulnerable
HP, UK, Sikkim, NE states. Glacier loss + monsoon variability + GLOF risk (200+ ICIMOD lakes). Teesta-III dam destroyed by South Lhonak GLOF Oct 2023. Yarlung Tsangpo (China) building upstream of Brahmaputra.
Coal-thermal cooling belt
Singrauli · Talcher · Korba · Mundra
~80% of industrial water = thermal cooling. Singrauli (UP/MP), Talcher (OD), Korba (CG), Mundra (GJ) consume 3-4 BCM/yr. NTPC, NHPC, Adani Power, Reliance Power. Once-through cooling intensified by climate.
Hyperscaler data centres
Hyderabad · Mumbai · Chennai · Bengaluru
Sify, CtrlS, Nxtra, AdaniConneX + hyperscaler captives. Concentrated in water-stressed cities. "Water-positive" claims unaudited; consumption disclosure for FY23-24 absent.
PM-KUSUM solar pumps
RJ · GJ · MH · KA · TN · MP
30 lakh pumps subsidised. Could reduce grid burden + enable demand-side. Or accelerate depletion if poorly designed — solar removes electricity bill which was already ~zero. Need DBT-style design.
Energy Source × Water Footprint (L/kWh)
Crop Water Demand by Region (mm/season)
Loops amplified across geographies
R1 free-electricity → GW collapse (Punjab paddy + Marathwada sugar + Cauvery delta + Telangana free-power) · R2 tank degradation (Bengaluru long-haul pumping replaces lost local storage) · R5 opacity (data-centre + thermal water disclosure absent) · R6 climate non-stationarity (hydropower belt cryosphere + once-through cooling at thermal plants).
Six things that don't add up when you read this all together

What reading this artefact reveals that the prose folder, the partner map, and the underlying source documents bury when read separately. These are the synthesis claims that make the artefact worth an hour.

01
Spend ↑ · outcome ↓ inversion
Cumulative central + state water-scheme outlay is up 5× since 1995. Every measurable dimension of water health, availability, and impact is down. The system's response function is broken; more spend at the existing leverage points produces less outcome.
Evidence: ~₹1.2L cr (1995) → ₹15.4L cr (2025) cumulative · per-cap 5,177 → 1,486 m³/yr · Bengaluru tanks 1,500 → 200 · Yamuna BOD 8 → 52 mg/L
02
R5 (opacity) is the lock-pin loop
Closing R5 — the opacity loop — weakens R1 (free-electricity), R3 (JJM functionality), and R4 (capture envelope) simultaneously. One loop attacked unlocks four. The Water Data Trust + Audit Muscle is therefore the highest-leverage Phase 0 commitment, not one of six equal candidates.
Evidence: OCEMS legally restricted · municipal billing locked · CGWB GEC 12-18 mo lag · NWIA 13 yr stale · CAG-flagged JJM functionality definition slippage
03
Geography ≠ philanthropy mismatch
Heavy philanthropy in MH/KA/MP/RJ/GJ; near-zero in Punjab/Haryana/Bundelkhand/NE/Bihar/Eastern UP/Jharkhand/Ladakh. The geography-philanthropy mismatch is the single largest structural gap in Indian water funding. Closing it requires deliberate counter-cyclical placement.
Evidence: ATECF/Tata/Premji/Arghyam HQs concentrated in BLR + Mumbai · Punjab has zero RM partner · Bundelkhand has zero major partner · Ladakh has zero national presence
04
Bench-depth fragility
The joint hydrology + civic-tech + finance + audit + legal + cultural-creative + UX talent pool with public-interest orientation is ~50-100 nationally. The build needs 7-9 of them in Year 0 + another 30-50 by Year 5. The bench is one-deep behind a small front rank; one departure = succession crisis.
Evidence: ACWADAM hydrogeologists ~10-20 with field credibility · iSPIRT civic-tech architects ~10-20 with civic-build instinct · MC Mehta-network environmental lawyers ~5-10 senior
05
The constituency that hasn't formed
India built strong cyclone information after 1999 Odisha (10K dead → <100). The same hasn't happened for chronic water. Chennai 2019 Day Zero, Bengaluru 2024-25 near-miss, Sundarbans displacement, GLOFs — none has produced sustained constituency. The constituency-formation event for water hasn't arrived yet.
Evidence: Ganga BOD ₹38K cr Namami Gange spent · Yamuna BOD 6× worse since 1980 · 311 polluted river stretches stable count · no water-vote-bank in any state
06
Imagination = precondition, not afterthought
Layer 7 (water-civilization frame) is conventionally treated as last-priority — slowest payoff, hardest to fund. The compounding-claim argument inverts: without imagination, the other six layers underdeliver because there's no constituency demanding them. Layer 7 runs in parallel from Year 0, not last.
Evidence: vernacular vocabulary (eri, ahar-pyne, kuhl, baoli, oran, johad, naula, dhara) eroding; canon (Agarwal+Narain 1997, Mishra 1994, Ramesh 2024) reaches <500K readers; 14-state curriculum + 5K-school pilot is the unbuilt civic infrastructure
§3.5 · the adapt zone

Adaptation + Mitigation · climate-aware

Two parallel tracks. Adapt · respond to climate impacts already underway (drought · cryosphere · flood · salinity · urban Day-Zero). Mitigate · reduce the root causes (over-extraction · pollution · energy-water nexus · greenwashing). Strategies highlight when relevant to the active place.

Strategies · adapt to what's coming + mitigate root causes All-India

15 strategies · 8 adaptation · 7 mitigation. Pick a state or city to surface strategies most relevant there.

↻ Adapt · respond to impacts already underway
↘ Mitigate · reduce root causes
§4 · the audit zone

Where claims don't match reality

When the official number tells one story and the audit tells another · we publish the gap. Six tracks: tap coverage · CSR water-positive · pollution monitoring · scheme spend vs outcome · pledged capital vs deployed · falsifiable hypotheses.

Where claims don't match reality 0 claims · refresh every 3 months · grows on contribution

When official numbers don't match what's actually happening on the ground · we surface the gap. Six ways water claims get tested: tap coverage vs functional rate · corporate water-positive vs third-party audit · pollution monitoring required vs actually publishing · scheme spend vs measurable outcome · pledged capital vs deployed · falsifiable claims tested year-on-year.

§5 · the action zone

What you can do

Cite this work · submit a correction · contest a number · ground-truth your place · pledge to a whitespace seed · co-invest with a market actor · report an audit discrepancy.

What you can do All-India

Pick a state above · the actions below pre-fill with that place. Citation is one click. Corrections are a 14-day response commitment.

Where these numbers come from

14-chapter prose folder + government datasets + multilateral + civic-side intermediaries. Numbers ±30% directional.

⚠ Submit a correction