ResilientPulse
Quantifying climate risk, adaptive capacity, and governance readiness across every district in India. 68 indicators from peer-reviewed frameworks. 7 dimensions. Real data from NASA, IMD, Census, and 20+ government sources.
The most comprehensive district-level climate resilience methodology ever built for India. Combines IPCC AR6 risk framework with INFORM scoring and ND-GAIN readiness metrics.
Heat waves, extreme rainfall, drought frequency, floods, cyclones, sea-level rise, landslides, seismic risk
12 indicators | Weight: 20%Population density, agricultural dependency, BPL households, vulnerable demographics, flood-prone settlements
10 indicators | Weight: 15%Forest cover loss, groundwater depletion, soil erosion, desertification, wetland loss, NDVI trends
8 indicators | Weight: 12%Housing quality, road density, healthcare access, drainage, telecom, power reliability, schools at risk
8 indicators | Weight: 13%Literacy, irrigation, tap water, banking, crop insurance, MGNREGA, SHGs, internet, renewables
12 indicators | Weight: 15%DDMP currency, SAPCC status, early warning systems, disaster response, climate-smart agriculture, SDG score
10 indicators | Weight: 13%GDP per capita, diversification, savings, MSME density, crop diversity, credit-deposit ratio
8 indicators | Weight: 12%Every indicator is sourced from government-published, satellite-derived, or academically validated datasets
Built to surpass WRI Aqueduct, INFORM, ThinkHazard, and CEEW — all at district level for India, free.
Every district gets prioritized interventions with cost estimates, responsible agencies, and linked government schemes.
Maps climate risks to 30+ central/state schemes (MGNREGA, JJM, PMFBY, NCRMP, AMRUT) with portal links.
See your district under SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios for 2030, 2050, and 2100.
Live integration with IMD weather warnings, CWC flood alerts, and NASA FIRMS fire data.
More comprehensive than CEEW (20), INFORM (80 country-level), or ND-GAIN (45 country-level) — at district granularity.
Full platform available in English and Hindi. Regional language expansion planned.
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IPCC AR6-aligned Climate Resilience Assessment Framework
ResilientPulse employs the IPCC AR6 Climate Risk Framework to assess climate resilience at the district level across India. The framework evaluates five interconnected dimensions that together determine a community's capacity to anticipate, absorb, accommodate, and recover from climate-related hazards.
Each district receives a composite Resilience Score (0-100) computed as a weighted average of five dimensions, calibrated against national benchmarks derived from IMD, Census, NRSC Bhuvan, and NASA POWER datasets.
| Dimension | Weight | Key Indicators |
|---|---|---|
| Hazard Exposure | 20% | Flood frequency, cyclone risk, heat wave days, drought index, seismic zone, wildfire susceptibility |
| Socio-Economic Exposure | 20% | Population density, poverty ratio (BPL%), urbanisation rate, informal housing, agricultural dependence |
| Sensitivity | 20% | Child & elderly population %, malnutrition prevalence, water stress, crop diversity index, health infrastructure density |
| Adaptive Capacity | 20% | Literacy rate, mobile/internet penetration, bank account penetration, road density, hospital beds per 1000, MGNREGA participation |
| Governance | 20% | SDMA plan status, early warning coverage, disaster fund utilisation, climate action plan, institutional capacity index |
The composite resilience score is computed as:
R = 0.20 × Hinv + 0.20 × Einv + 0.20 × Sinv + 0.20 × A + 0.20 × G
Where Hinv, Einv, and Sinv are inverted scores (higher exposure = lower resilience), and A (Adaptive Capacity) and G (Governance) contribute positively.
| 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 | Daily/Monthly |
| India Meteorological Department (IMD) | Extreme weather events, monsoon data, heat waves | Seasonal |
| Census of India | Demographics, literacy, housing, infrastructure | Decennial |
| NRSC Bhuvan | Land use, flood mapping, satellite imagery | Annual |
| NITI Aayog | District-level development indicators, SDG index | Annual |
| NDMA / SDMA | Disaster management plans, response capacity | Annual |
| RBI / PMJDY | Financial inclusion, bank penetration | Quarterly |
| MoHFW / NHP | Health infrastructure, disease burden | Annual |
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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