ResilientPulse
The definitive analytical platform for understanding where India is most vulnerable — and where targeted intervention will deliver the highest impact. District-level precision. Evidence-based prioritisation. Actionable intelligence.
Every district receives a structured diagnostic — composite score, dimension breakdown, and targeted intervention recommendations.
Resilient Band | Rank 142 of 594 | Percentile: 76th
Top recommendation: Strengthen cyclone early warning dissemination and expand NCRMP shelter coverage in coastal blocks
A snapshot of district-level performance from across the country — showing the geographic breadth of India's resilience landscape.
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Showing top-scoring district from each state. Scores are modelled estimates — not official government rankings.
The same data, interpreted through the lens that matters to your work.
Monsoon variability, drought frequency, rainfed area dependency, crop insurance gaps, and irrigation deficits — the indicators that determine whether 120 million farming households can sustain their livelihoods.
Groundwater depletion, rainfall deviation, tap water coverage, wetland loss, and watershed management — critical for the 600 million Indians facing water stress.
Flood drainage, housing quality, urbanisation rate, road connectivity, and smart city climate action — where 500 million urban Indians face compounding heat, flood, and air quality risks.
Healthcare access, heat stress exposure, child malnutrition, drinking water safety, and disease surveillance — the infrastructure that determines whether climate shocks become health crises.
Forest cover trends, groundwater health, soil quality, and ecosystem services — the natural capital that either amplifies or absorbs climate impacts.
Renewable capacity, power reliability, telecom connectivity, road networks, and housing resilience — the backbone that must withstand increasing climate stress.
Climate resilience disaggregated into seven measurable dimensions — enabling precise identification of systemic weaknesses and intervention opportunities at district level.
Quantifying the frequency and severity of climate shocks — temperature trends, rainfall deviation, extreme rain days, drought, cyclones, floods, heatwaves, and sea-level rise.
8 indicators | Weight: 20% | H1-H3: [D] satellite, H4-H8: [S] state refIdentifying which populations bear disproportionate climate risk — population density, poverty, agricultural dependence, demographic vulnerability, and urbanisation.
8 indicators | Weight: 15% | All [S] Census 2011 state referenceMeasuring environmental susceptibility — literacy, infant mortality, housing quality, groundwater depletion, crop concentration, sanitation, and malnutrition.
8 indicators | Weight: 12% | All [S] Census/NFHS state referenceAssessing structural resilience — housing quality, road connectivity, power infrastructure, health facility gaps, and digital access that determine recovery capacity.
Not yet scored — district data ingestion in V2.1 | Weight: 13%Evaluating systemic enablers of resilience — literacy, tap water (JJM), road connectivity, banking, crop insurance, PMFBY, SBM, internet, and IMD early warning.
10 indicators | Weight: 15% | A2,A3,A7,A8,A10: [D] dashboards; rest: [S]Scoring institutional preparedness — disaster management plans, early warning systems, climate budgets, SAPCC implementation, NRLM SHGs, and institutional readiness.
8 indicators | Weight: 13% | G1,G7: [D] dashboards; G2-G4,G6,G8: [M] modelledMeasuring economic shock-absorption — livelihood diversification, credit access, insurance penetration, savings rates, and post-disaster recovery capacity.
Not yet scored — district data ingestion in V2.1 | Weight: 12%Every indicator draws from government-published records, satellite observations, and validated institutional datasets.
Resilience scores are modelled estimates. This tool supports but does not replace official government risk assessments (NDMA, State DDMPs).
Climate data has limited value without a clear pathway to intervention. This platform bridges the gap between risk identification and strategic response.
For each district, the platform generates a ranked set of interventions — with cost brackets, implementing agencies, and expected resilience uplift — enabling resource allocation where it matters most.
Connects identified vulnerabilities directly to 30+ central and state government programmes (₹7.8 lakh crore combined budget) — surfacing funding pathways that are often invisible to district-level planners.
Explore how district-level risk profiles shift under different emissions trajectories (SSP1-2.6 through SSP5-8.5) across 2030, 2050, and 2100 time horizons.
A continuously updated feed of climate developments relevant to Indian policy — drawn from IMD, CWC, NOAA, and institutional sources.
42 indicators across 7 dimensions (5 currently scored, 2 expanding in V2.1), with transparent provenance tagging — every value declares whether it is district-measured, state-referenced, or modelled.
Bilingual interface (English and Hindi), aligned with Indian administrative boundaries, government scheme architecture, and policy frameworks including NAPCC, SAPCCs, and India's Updated NDC (2022).
Every adaptation action tagged with India's Updated NDC goals (net-zero by 2070, 500 GW RE by 2030) and Mission LiFE pillars. Mitigation co-benefits quantified in tCO2e.
Flags ecosystem tipping points (permafrost thaw, mangrove loss, coral bleaching) and compound climate risks (heat+drought, monsoon+landslide) with adaptation urgency ratings.
Auto-generated phased implementation roadmaps (Phase 0: governance → Phase 1: water/agriculture → Phase 2: infrastructure) with budget reconciliation and scheme mapping.
Select a district to discover which central and state programmes can fund climate adaptation in your area.
Based on your district's vulnerability profile, we identify applicable government programmes.
Illustrative scenarios showing how district-level data translates into tangible adaptation outcomes.
Districts scoring below 35 on Climatic Hazard with high flood frequency can use the Adaptation Action Plan to prioritise MGNREGA-NRM convergence spending, early warning system deployment, and PMAY housing upgrades — reducing expected flood damage by targeting the three weakest indicators first.
The Scheme-to-Risk Mapper identifies Atal Bhujal Yojana, PMKSY watershed, and PM-KUSUM solar pumps as the highest-impact interventions for districts with groundwater depletion exceeding 100% of recharge — linking climate risk directly to available government funding.
Odisha's investment in cyclone shelters, IFLOWS early warning, and mangrove restoration demonstrates how targeted governance action on 3 key indicators can shift an entire state's resilience band — the platform quantifies exactly which interventions delivered the highest return.
*Estimated uplift figures are illustrative scenario models, not observed outcomes. Actual impact depends on implementation quality and local conditions.
Make district resilience data accessible to your community — embed on your website or share on WhatsApp.
Receive weekly resilience updates, monsoon forecasts, and disaster alerts — directly to your inbox or WhatsApp.
Free for all .edu/.ac.in researchers and registered NGOs. We welcome research collaborations and joint publications.
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Everything you need to know about ResilientPulse — India's climate resilience intelligence platform.
ResilientPulse is India's district-level climate resilience intelligence platform. It scores all 594+ districts across 28 states and 8 union territories on a 0-100 scale using 42 indicators across 7 dimensions: Climatic Hazard, Socio-Economic Exposure, Ecological Sensitivity, Infrastructure Vulnerability, Adaptive Capacity, Governance Readiness, and Economic Resilience. The methodology draws on IPCC AR6 WGII, INFORM Risk Index, and ND-GAIN frameworks. The platform is free for all users — no login required.
Each district's resilience score follows a 6-step process: (1) 42 indicators are normalised to 0-100 using min-max scaling with P5/P95 percentile capping; (2) indicators are aggregated within each of 7 dimensions using weighted geometric mean (INFORM methodology); (3) the composite score is the weighted geometric mean across all 7 dimensions; (4) uncertainty is quantified via Monte Carlo simulation (500 draws, 8% noise); (5) districts are classified into 5 bands (Critical, Vulnerable, Developing, Resilient, Exemplary) using fixed thresholds calibrated to India's district-level score distribution; (6) future projections under SSP1-2.6, SSP2-4.5, and SSP5-8.5 use CMIP6 delta-method downscaling.
ResilientPulse draws from 20+ authoritative sources: NASA POWER (temperature, precipitation, solar radiation — daily/monthly), IMD (gridded rainfall, heat waves), Census of India 2011 (demographics, housing, workforce), CGWB (groundwater), Forest Survey of India (forest cover, mangroves), ISRO/NRSC Bhuvan (land use, NDVI), NOAA IBTrACS (cyclone tracks), CWC (flood data), NDMA (disaster records), NITI Aayog (SDG data), Jal Jeevan Mission (tap water coverage), MGNREGA MIS (person-days), RBI (banking statistics), and CMIP6 (climate projections). Each indicator displays a confidence badge showing whether data is verified, estimated, or unavailable.
Yes, the full ResilientPulse platform is free forever. No login is required. You can explore all 594+ districts, view detailed 7-dimension breakdowns, compare regions, download PDF and CSV reports, use the scheme eligibility finder, view SSP climate projections, and access the open API (1,000 calls/day) — all at no cost. The platform is free for individuals, district officers, NGOs, journalists, and researchers. Paid services (Developer API, institutional deployments, advisory) are available for organisations needing high-volume API access, white-label deployments, or expert-reviewed climate action plans.
A DCAP is a comprehensive climate action plan (~100 pages) generated for any Indian district. It includes: an executive summary with resilience score and radar chart, district climate profile, 9 sector chapters (water, agriculture, health, infrastructure, livelihoods, ecosystem, urban, economic, governance), 30+ prioritised intervention cards with costs and implementing agencies, government scheme convergence mapping for 30+ central schemes, a phased 5-year implementation roadmap, budget reconciliation, RACI matrix with actual department names, M&E framework with SMART KPIs, and India NDC alignment. DCAPs are generated in 30-120 seconds and priced at Rs 9,999 + GST per district.
ResilientPulse maps 30+ central and state government schemes to each district's vulnerability profile. Key schemes include: Jal Jeevan Mission (JJM), MGNREGA-NRM, PM Krishi Sinchayee Yojana (PMKSY), National Cyclone Risk Mitigation Project (NCRMP), PM Awas Yojana (PMAY), Atal Bhujal Yojana, MISHTI (Mangrove Initiative for Shoreline Habitats & Tangible Incomes), PM Surya Ghar, Swachh Bharat Mission 2.0, Namami Gange, National Adaptation Fund for Climate Change (NAFCC), PMGSY, GOBAR-DHAN, National Mission for Sustaining the Himalayan Ecosystem (NMSHE), and the National Disaster Mitigation Fund (NDMF). The Scheme Eligibility Finder tool identifies which schemes apply to a specific district based on its risk profile.
Resilience scores are modelled estimates, not ground-truth measurements. Climate data from NASA POWER is district-level verified data. Socio-economic indicators are derived from Census 2011 (15 years old — the next census is pending) and use state-level proxies where district data is unavailable. Governance indicators require manual assessment. Each score includes Monte Carlo confidence intervals (P5/P50/P95). The platform displays per-indicator confidence badges: "verified" (direct satellite/government data), "estimated" (state proxy), or "no data" (flagged zero). For formal policy decisions, on-ground verification is recommended. The platform supports — but does not replace — official NDMA/DDMP risk assessments.
Yes. ResilientPulse data is free to use, cite, and redistribute for any purpose — including academic research, journalism, policy briefs, and commercial analysis — provided you include the attribution: "Climate resilience data powered by ResilientPulse (RSustain)" with a link to pulse.rsustain.com. Academic institutions (.edu / .ac.in) and registered NGOs receive free enhanced access. We welcome research collaborations and joint publications — contact info@rsustain.com.
The platform provides forward-looking climate projections under three Shared Socioeconomic Pathways (SSPs) from CMIP6: SSP1-2.6 (low emissions, Paris-aligned), SSP2-4.5 (middle-of-the-road), and SSP5-8.5 (high emissions, fossil-fuel intensive). Projections are available at three time horizons: 2030 (near-term), 2050 (mid-century), and 2100 (end-century). Each projection shows how a district's resilience score and individual dimension scores shift under different emissions trajectories, using delta-method downscaling with inter-model uncertainty bands from the CMIP6 ensemble.
ResilientPulse is built by Resilient Sustainance Pvt. Ltd. (RSustain), an environmental engineering and sustainability advisory company with offices in London (UK), Mumbai (India), and Doha (Qatar). RSustain operates a suite of climate, ESG, and sustainability tools including RSustain Academy (professional courses), GreenCampus (education sustainability), Career Compass (career assessment), GreenSetu (GST-native carbon screening), and the RECI Global Index (corporate sustainability scoring). ResilientPulse is an independent product — not endorsed by or affiliated with IPCC, INFORM, ND-GAIN, or any government agency.
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Side-by-side resilience analysis
A structured approach to quantifying climate resilience at district level, drawing on internationally recognised frameworks
ResilientPulse employs a hybrid methodology drawing on three internationally recognised frameworks to assess climate resilience at the district level across India:
Each district receives a composite Resilience Score (0-100) derived from 42 indicators across 7 dimensions, using weighted geometric mean aggregation and percentile-capped normalisation.
Data provenance (V2, July 2026): Of the 42 indicators currently scored, 10 are district-measured from satellite data (NASA POWER) and government programme dashboards (JJM, PMGSY, PMFBY, SBM, IMD, NDMA, NRLM), 26 are state-level reference values (Census 2011, NFHS, CGWB — district-level measurement expanding in V2.1), and 6 are modelled governance estimates requiring field verification. Each indicator value carries a provenance tag: [D] district-measured, [S] state reference, or [M] modelled.
| Dimension | Weight | Indicators | Key Measures | Provenance |
|---|---|---|---|---|
| Climatic Hazard | 20% | 8 | Temperature trend (H1), rainfall deviation (H2), extreme rain days (H3), heat events (H4), drought frequency (H5), cyclone density (H6), flood frequency (H7), SLR exposure (H8) | H1-H3: [D] NASA POWER; H4-H8: [S] state ref |
| Socio-Economic Exposure | 15% | 8 | Population density (E1), BPL households (E2), agricultural workers (E3), rainfed area (E4), SC/ST share (E5), urbanisation (E6), child population (E7), elderly share (E8) | All [S] Census 2011 state reference |
| Ecological Sensitivity | 12% | 8 | MPI proxy (S1), literacy (S2), kutcha housing (S3), groundwater stage (S4), crop concentration (S5), open defecation (S6), malnutrition (S7), net migration (S8) | All [S] Census/NFHS state reference |
| Infrastructure Vulnerability | 13% | — | Not yet scored — district-level data ingestion scheduled for V2.1 | |
| Adaptive Capacity | 15% | 10 | Literacy (A1), JJM FHTC (A2), road connectivity (A3), tap water (A4), banking (A5), crop insurance (A6), PMFBY (A7), SBM density (A8), internet (A9), IMD EWS (A10) | A2,A3,A7,A8,A10: [D] govt dashboards; rest: [S] state ref |
| Governance Readiness | 13% | 8 | DDMP currency (G1), SAPCC (G2), GPDP climate (G3), convergence spending (G4), disaster response (G5), CSA adoption (G6), NRLM SHGs (G7), institutional readiness (G8) | G1,G7: [D] dashboards; G2-G4,G6,G8: [M] modelled; G5: mostly [M] |
| Economic Resilience | 12% | — | Not yet scored — district-level data ingestion scheduled for V2.1 | |
Step 1 — Normalisation: Each indicator is normalised to 0-100 using min-max scaling with P5/P95 percentile capping computed from actual 594-district data. Outliers beyond P1/P99 are flagged but not silently truncated.
Step 2 — Dimension Aggregation: Indicators within each dimension are combined using weighted geometric mean (modified INFORM methodology), which naturally penalises weak indicators — a district weak in one area is significantly penalised when compensating with strength in another.
Step 3 — Composite Score:
Resilience = WeightedGeometricMean(all 7 dimensions)
The weighted geometric mean across all 7 dimensions ensures that a single weak dimension drags down the overall score — reflecting the reality that climate resilience requires strength across all dimensions simultaneously.
Step 4 — Uncertainty Quantification: Each score includes confidence intervals computed via Monte Carlo simulation (500 draws with 8% noise). Results report P5, median, and P95 bounds.
Step 5 — Band Classification: Districts are classified into 5 bands (Critical / Vulnerable / Developing / Resilient / Exemplary) using fixed thresholds (0-25, 25-45, 45-65, 65-80, 80-100) calibrated to the empirical distribution of Indian district scores.
Step 6 — Climate Projections: Future resilience under SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios at 2030, 2050, and 2100 time horizons using CMIP6 delta-method downscaling with inter-model uncertainty bands.
| Band | Score Range | Description |
|---|---|---|
| Exemplary | 80 - 100 | Leading practices in resilience. Strong institutions, low exposure, robust adaptive systems. |
| Resilient | 65 - 80 | Good resilience with some areas for improvement. Well-prepared for most climate events. |
| Developing | 45 - 65 | Moderate resilience. Emerging systems but significant gaps remain in key dimensions. |
| Vulnerable | 25 - 45 | Low resilience with high exposure and limited adaptive capacity. Priority for intervention. |
| Critical | 0 - 25 | Severe vulnerability. Immediate and sustained intervention required across all dimensions. |
| Source | Data Type | Frequency |
|---|---|---|
| NASA POWER | Temperature, precipitation, solar radiation, wind | Daily/Monthly |
| ERA5 (Copernicus CDS) | Reanalysis — all meteorological variables | Monthly |
| India Meteorological Department (IMD) | Gridded rainfall (0.25°), temperature, heat waves | Monthly |
| Census of India 2011 | Demographics, literacy, housing, workforce, migration | Decennial |
| SECC 2011 | BPL households, deprivation indicators | Decennial |
| CGWB | Groundwater extraction & recharge assessment | Annual |
| Forest Survey of India (FSI) | Forest cover, mangroves, fire data | Biennial |
| NRSC Bhuvan / ISRO | Land use, desertification, NDVI, satellite imagery | Annual |
| NOAA IBTrACS | Global tropical cyclone tracks | 3x/week |
| CWC | Flood data, river discharge, flood-prone areas | Daily (monsoon) |
| NDMA | Disaster records, vulnerability maps, plans | Annual |
| NITI Aayog | SDG India Index, Aspirational Districts data | Annual |
| Jal Jeevan Mission | Tap water coverage (FHTC) | Monthly |
| MGNREGA MIS | Person-days, NRM works expenditure | Monthly |
| RBI | District banking statistics, credit-deposit ratio | Annual |
| TRAI | Telecom and internet penetration | Quarterly |
| GSI | Seismic zones, landslide susceptibility | Static |
| MODIS (NASA) | Vegetation index (NDVI) 250m resolution | 16-day |
This platform uses the following open-source libraries:
ResilientPulse is an independent product of Resilient Sustainance Pvt. Ltd. It is not endorsed by, affiliated with, or officially connected to the IPCC, INFORM (IASC/JRC/OCHA), the University of Notre Dame (ND-GAIN), NITI Aayog, or any government agency. Framework references are for methodological alignment purposes only.
This platform uses real climate data from NASA POWER combined with Census 2011 and government statistics for socio-economic indicators. Scores are indicative and based on the best available public data. For formal policy decisions, on-ground verification is recommended.
The methodology is aligned with the IPCC AR6 WGII (2022) risk framework and draws on INFORM and ND-GAIN peer-reviewed methodologies. For questions or collaboration, contact info@rsustain.com.
Sign in to access full district data, PDF reports, and API access.
Climate adaptation is too urgent to gate behind a subscription. The full platform is free for any individual, district, NGO, or researcher in India.
No credit card. No login required. Optional free account to save districts and get alerts.
How we sustain this
Three revenue streams — designed so individuals never pay, but institutions and integrators do.
or ₹0.05 per call after free tier
Annual contract, scoped per deployment
From ₹2L per engagement + GST
CSR partners, philanthropic funders, and grant-makers help keep this open for 1.4 billion people. Sponsors appear on the methodology page; no influence on data or scoring.
NASA POWER, IMD, Census, NITI Aayog. Our value is methodology and synthesis — that should be shared.
The people who most need this can't navigate a subscription. Free removes the friction entirely.
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IPCC AR6-aligned, scheme-convergent District Climate Action Plans (DCAPs) with phased interventions, budgets, and institutional frameworks — generated in 30-120 seconds.
Use the Explorer map or search bar to navigate to any of India's 594+ districts
In the district profile, find the teal button in the action bar
Present to District Collector, DCC, DDMA, or state climate cell
Manual climate action plans cost ₹10-25 Lakh and take 3-6 months. Ours is instant.
One-time download per district
Choose up to 50 districts
For state governments, UNDP, GIZ, World Bank
Our Advisory service starts with the automated DCAP, then adds local data validation, field work, stakeholder consultations, block-level detailing, and DPR preparation support. Manual DCAPs from ICLEI/Vasudha cost ₹10-25L per district and take 3-6 months. Our expert-reviewed version: from ₹5L + GST, delivered in 4-6 weeks.
Request advisory scoping call| Feature | ResilientPulse DCAP | Manual Consultancy (ICLEI, Vasudha, etc.) |
Global SaaS (Climate X, Munich Re) |
|---|---|---|---|
| Cost per district | ₹9,999 + GST | ₹10-25 Lakh | $5,000-50,000 |
| Delivery time | 30-120 seconds | 3-6 months | 1-4 weeks |
| Output | Comprehensive PDF with action plan | 100-200 page report | Risk score / dashboard |
| Govt scheme mapping | ✓ 30+ schemes | ✓ | ✗ |
| India-specific | ✓ IMD, IPCC AR6, Indian policy | ✓ | ✗ Global models |
| Ground-truth validation | Advisory add-on | ✓ Included | ✗ |
Effective: 1 May 2026 | Last Updated: 23 May 2026
The full ResilientPulse platform is free for individuals, district administrators, NGOs, journalists, researchers, and any other user. You may use, cite, and redistribute platform outputs — including scores, reports, maps, and data exports — for any purpose, provided you include the following attribution: "Climate resilience data powered by ResilientPulse (RSustain)" with a hyperlink to https://pulse.rsustain.com where technically feasible.
Users may NOT: (a) represent ResilientPulse scores as their own proprietary work; (b) commercially redistribute bulk datasets without a paid Developer API or Institutional licence; (c) use platform outputs for greenwashing, securities fraud, or deceptive marketing.
Three paid service tiers supplement the free platform: (i) Developer API for high-volume integrations beyond the free 1,000 calls/day limit; (ii) Institutional deployments for white-label, custom-indicator, or on-premise installations; (iii) Advisory services for DCCAP drafting, climate finance proposals, and training engagements.
Paid-tier users receive a non-exclusive, non-transferable licence to use platform outputs in internal operations, reporting, and client deliverables subject to attribution requirements. Paid-tier users may NOT: (a) sublicence API access; (b) reverse-engineer the scoring algorithm; (c) represent ResilientPulse scores as their own proprietary work without attribution.
Resilience scores are modelled estimates derived from publicly available datasets and proprietary algorithms. They are NOT ground-truth measurements, verified field data, or official government assessments. Scores are indicative approximations. Actual climate resilience conditions may differ materially due to data latency (Census 2011 baselines), measurement gaps, and rapidly changing climate patterns.
RSustain shall NOT be liable for any direct, indirect, incidental, or consequential damages arising from decisions made based on resilience scores. ResilientPulse scores are decision-support tools, not decision-making authorities. Users must exercise independent professional judgment. The platform is provided "AS IS" without warranties of any kind.
In no event shall RSustain's total aggregate liability exceed the fees paid by the user in the twelve (12) months preceding the claim, or INR 10,000, whichever is greater.
Users shall not attempt to manipulate or game resilience scores. Users shall not use the platform to generate misleading claims about any region's climate preparedness for securities fraud, greenwashing, or deceptive marketing.
All public-facing outputs derived from ResilientPulse data must include: "Climate resilience data powered by ResilientPulse (RSustain)" with a hyperlink to https://pulse.rsustain.com where technically feasible.
Developer API: Monthly billing via Razorpay. You may cancel at any time; access continues until the end of the current billing cycle. A prorated refund is available within 7 days of first payment.
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Advisory services: Project-based engagements billed per milestone as specified in the statement of work (SOW).
General: All amounts are in INR and subject to applicable GST (18%). The core platform is free and does not involve any billing or subscription.
RSustain reserves the right to modify these Terms at any time. Continued use constitutes acceptance of updated Terms. Material changes to paid service features or pricing will be notified 30 days in advance via email.
These Terms are governed by the laws of India. Any dispute shall first be attempted to be resolved through mediation. If unresolved within 30 days, disputes shall be subject to arbitration under the Arbitration and Conciliation Act, 1996, with the seat of arbitration in New Delhi. The language of arbitration shall be English.
Effective: 1 May 2026 | Last Updated: 5 May 2026
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