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 — dimension-level scores and targeted intervention recommendations. Five of seven dimensions are currently published.
Live district data — 4 dimensions published, hazard rebuild in progress
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 highest/lowest-scoring district from each state. Scores are modelled estimates — not official government rankings. Adjacent scores are not statistically distinguishable; ordering within a band is indicative, not definitive.
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.
40+ indicators | Weight: 20% | Hazard Engine v2.0 rebuild in progress (10 hazard types from 15+ open datasets)Identifying 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%Real-time events from USGS, GDACS, NASA EONET and ReliefWeb. Select a district for nearby event details.
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Data class: live intelligence. Does not influence resilience scores. Follow official authorities for emergency action.
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 (loading... 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.
Seven dimensions defined, four currently published. Climatic Hazard is under data-quality review. Infrastructure Vulnerability and Economic Resilience are not yet scored. Provenance tagging declares whether each value is reanalysis-derived, state-referenced [S], or modelled [M].
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 measurably improve a state's resilience score — 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.
For official disaster warnings and weather alerts, follow authoritative government services:
ResilientPulse is informational. Follow official authorities for emergency instructions. Email and WhatsApp alert channels are under development.
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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 screening platform. It covers 676 districts (GADM 4.1 boundary release) across 36 states and union territories. Four of seven defined dimensions are currently published: Socio-Economic Exposure, Ecological Sensitivity, Adaptive Capacity, and Governance Readiness (34 validated indicators). Climatic Hazard is under data-quality review — a polygon-based hazard engine using ERA5-Land, CHIRPS, IBTrACS, and other open datasets is replacing the legacy centroid-query approach. Infrastructure Vulnerability and Economic Resilience are defined but not yet scored. The methodology draws on IPCC AR6 WGII, INFORM Risk Index, and ND-GAIN frameworks. Scores are polygon-aggregated modelled estimates, not official government rankings. The platform is free for all users — no login required.
Each district receives dimension-level scores via a 4-step process: (1) indicators are normalised to 0-100 using min-max scaling with national min/max bounds; (2) indicators are aggregated within each published dimension using weighted arithmetic mean; (3) scores are presented on a continuous 0-100 scale with colour-coded map visualisation and per-indicator provenance tags ([D] district-measured, [S] state-referenced, [M] modelled); (4) future projections under SSP scenarios use CMIP6 NEX-GDDP-CMIP6 delta-method downscaling with a 5-model ensemble. Currently 4 of 7 dimensions are published (34 indicators). Climatic Hazard is under data-quality review. Two dimensions (Infrastructure Vulnerability, Economic Resilience) are defined but not scored due to absent district-level data. Uncertainty quantification is not yet implemented.
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 676 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.
Dimension 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. Uncertainty quantification (confidence intervals) is not yet implemented — scores do not carry P5/P50/P95 bounds. The platform displays per-indicator provenance tags: [D] district-measured, [S] state-referenced, or [M] modelled. 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): 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 climate indicators shift under different emissions trajectories, using delta-method downscaling with values transcribed from the IPCC AR6 WGI Atlas (South Asia regional assessment) and per-state regional factors. These are not processed CMIP6 model outputs — they apply published ensemble mean deltas to baseline indicator values.
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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District-specific hazard assessment from satellite and climate reanalysis data
NASA POWER 20-year average (2005-2024)
Side-by-side climate 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 dimension-level scores (0-100) across 4 published dimensions (of 7 defined), derived from 34 validated indicators using weighted arithmetic mean aggregation and min-max normalisation. Each indicator carries a provenance tag ([D] district-measured, [S] state-referenced, [M] modelled). Climatic Hazard is under data-quality review. Two additional dimensions (Infrastructure Vulnerability, Economic Resilience) are defined but not scored due to absent district-level data.
Data provenance (live-computed from database): 34 indicators are currently scored across 4 of 7 published dimensions. Climatic Hazard indicators exist in the database but are under data-quality review (polygon-based hazard engine rebuild in progress). Provenance is computed from the database at load time. Sources include Census 2011, CGWB groundwater assessments, government programme dashboards, and (for hazard rebuild) ERA5-Land, CHIRPS, IBTrACS. Each indicator value carries a provenance tag. Uncertainty quantification is not yet implemented.
| 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 national min/max bounds from the indicator catalogue. Values below min are clamped to min; above max to max. After normalisation, 100 = best (least hazardous or highest capacity) regardless of original direction.
Step 2 — Dimension Aggregation: Indicators within each dimension are combined using weighted arithmetic mean. Each dimension produces a score on 0-100.
Step 3 — Display: Dimension scores are presented individually on a 0-100 scale with colour-coded map visualisation and per-indicator provenance tags. No composite score is published. Five of seven dimensions are currently published, including Climatic Hazard restored with independently traceable NASA POWER daily data (2005-2024) using ST_PointOnSurface representative points and Theil-Sen/ETCCDI indicators. No statistical uncertainty interval is currently published.
Step 4 — Uncertainty: Uncertainty quantification is not yet implemented. Scores do not carry confidence intervals. When implemented, uncertainty will use indicator-specific noise calibrated to provenance quality.
Step 5 — Climate Projections: Future projections under SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios at 2030, 2050, and 2100 time horizons using delta-method downscaling with values transcribed from the IPCC AR6 WGI Atlas (South Asia), applied with per-state regional factors. These are not processed CMIP6 model outputs.
| Colour | Score Range |
|---|---|
| 80 - 100 | |
| 60 - 80 | |
| 40 - 60 | |
| 20 - 40 | |
| 0 - 20 |
Categorical band labels are suppressed while a scoring methodology review is in progress. Numeric scores and colour gradients remain available. See the methodology paper for details.
| 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 |
Dimension weights are derived from the relative importance of each component in the IPCC AR6 WGII risk framework, calibrated against INFORM Risk Index v8.0 and ND-GAIN Country Index methodologies:
| Dimension | Weight | Justification |
|---|---|---|
| Climatic Hazard | 20% | Primary exogenous forcing (IPCC AR6 WGII Ch.16) — the physical driver that all other dimensions respond to |
| Socio-Economic Exposure | 15% | Population characteristics amplifying impact (IPCC AR6 WGII Ch.8; INFORM exposure component) |
| Adaptive Capacity | 15% | Capacity to absorb, adjust and transform (ND-GAIN readiness; IPCC AR6 WGII glossary) |
| Governance Readiness | 13% | Institutional systems enabling collective response (Sendai Framework Priority 2; INFORM LoCC) |
| Infrastructure Vulnerability | 13% | Physical systems mediating hazard impact (IPCC AR6 WGII Ch.6) |
| Ecological Sensitivity | 12% | Environmental degradation amplifying vulnerability (IPCC AR6 WGII Ch.2) |
| Economic Resilience | 12% | Financial buffers enabling recovery (ND-GAIN economic readiness; World Bank CCKP) |
Score distribution note: The compressed score distribution (national range ~15 points on a 100-point scale across 666 scored districts) means adjacent scores are not statistically distinguishable. Dimension scores are presented as continuous values; no categorical band classification is applied. Sensitivity analysis results are not currently published.
Each indicator value carries a provenance tag indicating measurement quality:
| Tag | Meaning | Uncertainty (MC) | Count |
|---|---|---|---|
| [D] | District-measured (satellite, government dashboard, census) | ±2-5% | --% of values |
| [S] | State-referenced (state average applied to districts within) | ±20% | --% of values |
| [M] | Modelled / estimated (governance proxies requiring field verification) | ±25% | --% of values |
State-proxied indicators assume intra-state homogeneity, which is clearly incorrect for large heterogeneous states (UP, Maharashtra, Rajasthan). When uncertainty quantification is implemented, state-proxied and modelled indicators will carry wider uncertainty bands reflecting this data quality limitation.
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.
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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 676 districts
In the district profile, find the teal button in the action bar
Present to District Collector, DCC, DDMA, or state climate cell
Convert ResilientPulse evidence into a structured district action-planning document covering resilience priorities, interventions, implementation responsibilities, government-scheme convergence, monitoring indicators and a phased planning framework.
Interim Four-Dimension Edition
Climatic Hazard scoring is excluded until completion of its independent data-quality review. The report is a screening and planning-support document and does not replace statutory studies, engineering design, DPR preparation, stakeholder consultation or field verification.
For organisations requiring multiple district plans
Coverage across currently represented and validated districts, with data-gap status disclosed.
Our Advisory service starts with the automated DCAP, then adds local data validation, field work, stakeholder consultations, block-level detailing, and DPR preparation support.
Request advisory scoping callAbout this product: The District Climate Resilience Action Plan is a screening and planning-support document generated from validated public datasets. It uses four currently validated resilience dimensions. The Climatic Hazard dimension is excluded while its independent data-quality review is completed. All cost estimates are indicative planning assumptions. The report does not replace statutory studies, engineering design, DPR preparation, stakeholder consultation or field verification. It is not government-approved, statutory, investment-grade, engineering-ready or independently assured.
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.
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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.
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Effective: 1 May 2026 | Last Updated: 5 May 2026
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