Climate Risk score
Climate exposure, hazard frequency, and adaptation context for floods, heat, storms, and wildfires.
Climate Risk
Jihlava's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. Climate Risk in Jihlava scores 56/100, placing it in the early-stage group of the indexed set.
Climate exposure, hazard frequency, and adaptation context for floods, heat, storms, and wildfires.
Directional indicator
Climate-risk framing combines regional hazard categories (heat, water, coastal, seismic) with national adaptation capacity.
Structured benchmark context
Adaptation capacity is interpreted against published references rather than a single risk-index value.
Pending integration
Source-backed climate-risk metrics will appear when the platform integrates verified city-level data.
This HTML table mirrors the visible score cards so important comparison data is never trapped in a browser-only chart.
| Metric | Value | Context |
|---|---|---|
| Hazard framing | Directional indicator | Use this section as context, not an official measurement. |
| Adaptation context | Structured benchmark context | See the methodology page for how the directional score is constructed. |
| Verified local dataset | Pending integration | Transparent fallback is shown until then. |
A crawlable comparison across a selection of same-country and top-scoring cities. The complete set is reachable via the rankings, the cities index, and each city profile.
| City | Score | Summary |
|---|---|---|
| Jihlava (this page) | 56/100 | Jihlava's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Prague | 78/100 | Prague carries moderate climate exposure centered on heat, intense rainfall, and river flood pressure, balanced by EU adaptation framing. |
| Brno | 72/100 | Brno's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Hradec Králové | 71/100 | Hradec Králové's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Plzeň | 68/100 | Plzeň's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Ostrava | 68/100 | Ostrava's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Pardubice | 67/100 | Pardubice's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Zlín | 67/100 | Zlín's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Ústí nad Labem | 63/100 | Ústí nad Labem's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Decin | 54/100 | Decin's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Olomouc | 50/100 | Olomouc's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Karlovy Vary | 50/100 | Karlovy Vary's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Liberec | 50/100 | Liberec's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| České Budějovice | 50/100 | České Budějovice's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Geneva | 86/100 | Geneva's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Vejle | 84/100 | Vejle's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Oslo | 84/100 | Oslo carries moderate climate risk centered on heavy precipitation and stormwater pressure, with strong adaptation planning. |
| Basel | 84/100 | Basel's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Frederiksberg | 82/100 | Frederiksberg's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Helsinki | 82/100 | Helsinki carries moderate climate risk centered on coastal storm exposure and stormwater pressure, with steady adaptation planning. |
| Munich | 82/100 | Munich carries moderate climate risk centered on river flooding and rising summer heat. |
| Aarhus | 82/100 | Aarhus's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Bern | 81/100 | Bern's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Linz | 80/100 | Linz's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Lausanne | 80/100 | Lausanne's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Espoo | 80/100 | Espoo's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Reykjavik | 80/100 | Reykjavik's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Zurich | 80/100 | Zurich's climate-risk profile is comparatively low, shaped mainly by heat waves and Alpine-runoff variability. |
| Stockholm | 80/100 | Stockholm carries moderate climate risk centered on stormwater pressure and Baltic flooding, with strong adaptation planning. |
| Edinburgh | 80/100 | Edinburgh carries moderate climate risk centered on coastal storm exposure and heavy-rain stormwater pressure. |
| Malmö | 80/100 | Malmö's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
Climate-risk scoring combines hazard exposure with adaptation capacity. Cities with active resilience programmes reduce expected loss even where exposure is meaningful. Across the indexed cities the climate risk average is 60/100, so Jihlava is 4 points below the median. Data year 2025; last updated 2026-05-16. Drawn from 4 institutional references.
Read this module with the main open the jihlava city profile and the read the scoring methodology page so single-topic pages do not hide tradeoffs across dimensions.
Structured indicators on this page are directional and intended for orientation. Verified datasets are being integrated; official sources should be used for critical decisions.
4 institutional references inform this view, listed below with reliability notes. Structured indicators on this page are directional and intended for orientation; verified datasets are being integrated and official sources should be used for critical decisions.
Used as a policy and methodology reference for urban exposure and resilience signals.
Used where European city comparisons need monitored air-quality context.
Used as an energy-resource and weather-normalization reference.
Used to explain urban climate vulnerability and adaptation scoring logic.
These links connect module pages back to city, ranking, and sibling topic paths with crawlable href values.
Return to the complete Jihlava profile with all module scores and source context.
Affordability, essential costs, and day-to-day financial pressure for residents.
Health-oriented air-quality conditions with context from WHO, EEA, and EPA benchmarks.
Clean-energy readiness, grid resilience, and solar or efficiency opportunity signals.
Personal safety, institutional trust, and resilience signals informed by international safety and crime data.
Broadband and mobile connectivity quality, latency, and digital-readiness signals for residents and remote workers.
A balanced ranking of cities across affordability, air quality, clean-energy readiness, and resilience.
Cities that combine strong services, mobility, safety, clean air, and resilience into a healthy day-to-day profile.