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, slum population, road density, 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, NDVI health, mangrove buffers, soil erosion, and desertification — 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.
We disaggregate climate resilience into five measurable dimensions — enabling precise identification of systemic weaknesses and intervention opportunities at district level.
Quantifying the frequency and severity of climate shocks — from heat extremes and drought to cyclone exposure and flooding — that directly threaten lives and livelihoods.
8 indicators | Weight: 20%Identifying which populations and ecosystems bear disproportionate climate risk — the intersection of poverty, agricultural dependence, environmental degradation, and demographic vulnerability.
8 indicators | Weight: 20%Measuring susceptibility to damage — housing quality, health infrastructure gaps, groundwater depletion, forest cover loss, and socio-economic fragility that amplify climate impact.
8 indicators | Weight: 20%Evaluating the systemic enablers of resilience — education, financial inclusion, irrigation, tap water access, social capital, renewable energy, and technological connectivity.
10 indicators | Weight: 20%Scoring institutional preparedness — disaster management plans, early warning systems, climate budgets, disaster response capacity, and gender-inclusive DRR training.
8 indicators | Weight: 20%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 20 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 structured across 5 dimensions deliver the analytical depth needed to move beyond single-metric vulnerability indices into actionable, sector-specific insights.
Bilingual interface (English and Hindi), aligned with Indian administrative boundaries, government scheme architecture, and policy frameworks including NAPCC, SAPCCs, and India's Updated NDC (2023).
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.
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Free for all .edu/.ac.in researchers and registered NGOs. We welcome research collaborations and joint publications.
ResilientPulse is one tool in a comprehensive suite of climate, ESG, and sustainability intelligence platforms built by Resilient Sustainance.
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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 5 dimensions, using weighted geometric mean aggregation and percentile-capped normalization.
| Dimension | Weight | Indicators | Key Measures |
|---|---|---|---|
| Hazard | 20% | 8 | Temperature trend, rainfall deviation, extreme rain days, drought frequency, cyclone exposure, flood frequency, heatwave days, sea-level rise vulnerability |
| Exposure | 20% | 8 | Population density, BPL households, agricultural workforce, rainfed area, flood-zone population, forest cover, urbanisation rate, SC/ST population share |
| Sensitivity | 20% | 8 | Female literacy, infant mortality, kutcha housing, groundwater depletion, crop concentration, net migration, open defecation, malnutrition prevalence |
| Adaptive Capacity | 20% | 10 | Irrigated area, tap water (JJM FHTC), road connectivity, internet penetration, banking density, crop insurance, renewable energy, MGNREGA person-days, SHG coverage, hospital beds |
| Governance | 20% | 8 | DDMP status, early warning systems, disaster response capacity, climate budget allocation, SAPCC implementation, climate-smart agriculture adoption, DRR training coverage, institutional readiness score |
Step 1 — Normalization: Each indicator is normalized 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 (INFORM methodology), which naturally penalises weak indicators — a district weak in one area cannot compensate with strength in another.
Step 3 — Composite Score:
Resilience = WeightedGeometricMean(all 5 dimensions)
The weighted geometric mean across all 5 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 Jenks natural breaks computed from the actual score distribution, not fixed thresholds.
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 | 60 - 80 | Good resilience with some areas for improvement. Well-prepared for most climate events. |
| Developing | 40 - 60 | Moderate resilience. Emerging systems but significant gaps remain in key dimensions. |
| Vulnerable | 20 - 40 | Low resilience with high exposure and limited adaptive capacity. Priority for intervention. |
| Critical | 0 - 20 | 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), CEEW, 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.
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Climate adaptation is too urgent to gate behind a subscription. The full platform is free for any individual, district, NGO, or researcher in India.
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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.
Institutional deployments: Annual contracts, invoice-based. Payment terms net-30 from date of invoice.
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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