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 seven 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 to cyclone exposure — that directly threaten lives and livelihoods.
12 indicators | Weight: 20%Identifying which populations bear disproportionate climate risk — the intersection of poverty, agricultural dependence, and demographic vulnerability.
10 indicators | Weight: 15%Measuring the degradation of natural buffers — groundwater, forests, wetlands, and soil — that amplify climate impact when compromised.
8 indicators | Weight: 12%Assessing the structural readiness of housing, roads, healthcare, drainage, and connectivity to withstand and recover from climate events.
8 indicators | Weight: 13%Evaluating the systemic enablers of resilience — education, financial inclusion, irrigation, social capital, and technological access.
12 indicators | Weight: 15%Scoring institutional preparedness — disaster management plans, early warning systems, climate budgets, and policy implementation at district level.
10 indicators | Weight: 13%Gauging the economic capacity to absorb shocks and recover — through diversification, savings depth, enterprise density, and fiscal autonomy.
8 indicators | Weight: 12%Every indicator draws from government-published records, satellite observations, and validated institutional datasets.
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 — 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.
68 indicators structured across 7 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 and SAPCCs.
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.
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.
Registered universities, research institutions, and non-profit organisations working on climate adaptation qualify for concessional access to Professional tier features.
50% discount on Professional tier for verified .edu/.ac.in email addresses and registered NGOs.
Apply: academic@rsustain.com
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 68 indicators across 7 dimensions, using weighted geometric mean aggregation and percentile-capped normalization.
| Dimension | Weight | Indicators | Key Measures |
|---|---|---|---|
| Climatic Hazard | 20% | 12 | Heat waves, extreme rainfall, drought (SPI), floods, cyclones, sea-level rise, landslides, seismic risk |
| Socio-Economic Exposure | 15% | 10 | Population density, BPL households, agricultural workforce, rainfed area, flood-zone population |
| Ecological Sensitivity | 12% | 8 | Forest cover change, groundwater depletion, soil erosion, NDVI trends, desertification, wetland loss |
| Infrastructure Vulnerability | 13% | 8 | Housing quality, road density, healthcare access, drainage, telecom, power reliability |
| Adaptive Capacity | 15% | 12 | Literacy, irrigation, tap water (JJM), banking, crop insurance, MGNREGA, SHGs, internet, renewables |
| Governance Readiness | 13% | 10 | DDMP status, SAPCC implementation, early warning systems, disaster response, climate-smart agriculture |
| Economic Resilience | 12% | 8 | GDP per capita, economic diversification, savings, MSME density, crop diversity, credit-deposit ratio |
Step 1 — Normalization: Each indicator is normalized to 0-100 using min-max scaling with 5th/95th percentile capping to reduce outlier sensitivity.
Step 2 — Dimension Aggregation: Indicators within each dimension are combined using weighted geometric mean (INFORM methodology), which is more sensitive to weak indicators than arithmetic mean.
Step 3 — Composite Score:
Risk-Exposure = GeometricMean(Hazard, Exposure, Sensitivity, Infrastructure)
Readiness = GeometricMean(Adaptive Capacity, Governance, Economic Resilience)
Resilience = Readiness / (Risk-Exposure + Readiness) × 100
This dual-axis approach (inspired by ND-GAIN) ensures that a district scores high only if its adaptive readiness outweighs its risk exposure.
| 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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Whether you are conducting initial research or integrating climate risk into institutional decision-making, there is a tier designed for your use case.
For researchers, students, and journalists conducting initial climate risk exploration
For advisory firms, NGOs, climate practitioners, and district administration
For state and central government, multilateral institutions, development finance, and large-scale programmes
Academic & NGO Discount
50% off Professional tier for verified universities (.edu/.ac.in), research institutions, and registered non-profit organisations.
Apply: academic@rsustain.com
Effective: 1 May 2026 | Last Updated: 5 May 2026
The free tier provides read-only access to national and state-level resilience scores, choropleth map visualisation, and district overall scores. Free-tier access is granted for personal, educational, and non-commercial research purposes only.
Free-tier users may NOT: (a) systematically scrape, download, or harvest data from the platform; (b) redistribute scores or datasets to third parties; (c) use outputs for commercial consulting, resale, or paid advisory services; (d) embed or iframe the platform without written permission.
Paid-tier users receive a non-exclusive, non-transferable licence to use platform outputs in internal business operations, ESG/BRSR 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.
Billing: Professional subscriptions are billed monthly at INR 999 + applicable GST (18%). Payments are processed via Razorpay. By subscribing, you authorize recurring monthly charges.
Cancellation: You may cancel your subscription at any time. Access continues until the end of the current billing cycle. No partial-month refunds are provided.
Refunds: Full refund is available within 7 days of first subscription if no PDF reports have been generated and API usage is below 50 requests. After 7 days, subscriptions are non-refundable. Contact info@rsustain.com for refund requests.
Feature Roadmap: Some features listed on the pricing page may be marked "Coming Soon." These features are under development and not included in the current subscription. No charges apply to unavailable features.
RSustain reserves the right to modify these Terms at any time. Continued use constitutes acceptance of updated Terms. Material changes to paid tier 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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