We have scored the climate risk of the 7.326 buildings in Daimiel using Cadastre data, satellite imagery and climate projections, and added it up by area, street and watercourse. The clearest change comes at night: from 18 to 60 tropical nights a year by 2050.
Level of the highest hazard in each 250 m area by 2050: flooding, heat, wildfire, wind or ground movement.
Position among the 8.217 municipalities: further right means more risk. These are figures for the municipality as a whole, the same for everyone; they may differ from those for the typical building. Compare with others →
It comes from matching each building with its neighbourhood, its street, the nearest watercourse and its surroundings.
They are in the area that can flood once every 500 years according to the official maps (SNCZI); 6.078 of them are in the 100-year area. Next to Río Azuer, 5 homes are inside the flood zone, less than 100 m from the watercourse.
According to the Ministry’s studies, this is an annual probability of 0,2 % (500 years) or 1 % (100 years), not “once every 500 years”: it can happen two years in a row. Small gullies are not always mapped.
In a typical building in Daimiel, nights when the temperature stays at or above 20 °C would rise from 18 a year (1991-2020) to about 60 by 2050. For this reason, 100 % of homes would be at a high or very high level.
Median of the buildings. Intermediate-to-high emissions scenario (SSP3-7.0).
They are in the official 500-year flood zone or in a preferential flow zone. They are the first to review in an emergency plan: who is inside, how to get out and whether they use the ground floor.
OpenStreetMap location matched to the nearest Cadastre building.
The 10.500 homes in Daimiel by the level of their building. Tap a hazard to see it on the map.
The same data for all 8.217 municipalities in Spain. Choose what to compare with: municipalities of a similar size, the province, the region or the whole of Spain.
Compared with the 893 municipalities with between 5.000 and 20.000 inhabitants. The bar shows where Daimiel stands: further right means more risk.
| Indicator | Daimiel | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 17 nights | 10 nights | higher than 62 % of them |
| Tropical nights a year, 2050 | 60 nights | 48 nights | higher than 65 % of them |
| Average summer maximum, 2050 | 37,5 °C | 32,4 °C | higher than 94 % of them |
| Night-time heat island | 0,8 °C | 0,4 °C | higher than 75 % of them |
| Flood-prone area (100-year) | 8,5% | 1,2% | higher than 86 % of them |
| Area burnt 2016-2026 | 0,1% | 0,0% | higher than 68 % of them |
| Water stress 2050 (0-5) | 4,8 | 4,8 | lower than 51 % of them |
| Maximum 50-year gust | 31 m/s | 30 m/s | higher than 62 % of them |
| Ground movement | −0,7 mm/yr | −0,6 mm/yr | sinking faster than 56 % of them |
| Population aged 65 or over | 21% | 20% | higher than 62 % of them |
Compared with the 102 municipalities in Ciudad Real province. The bar shows where Daimiel stands: further right means more risk.
| Indicator | Daimiel | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 17 nights | 13 nights | higher than 79 % of them |
| Tropical nights a year, 2050 | 60 nights | 52 nights | higher than 88 % of them |
| Average summer maximum, 2050 | 37,5 °C | 36,9 °C | higher than 84 % of them |
| Night-time heat island | 0,8 °C | 0,0 °C | higher than 85 % of them |
| Flood-prone area (100-year) | 8,5% | 1,5% | higher than 94 % of them |
| Area burnt 2016-2026 | 0,1% | 0,0% | higher than 64 % of them |
| Water stress 2050 (0-5) | 4,8 | 4,8 | higher than 52 % of them |
| Maximum 50-year gust | 31 m/s | 31 m/s | higher than 58 % of them |
| Ground movement | −0,7 mm/yr | −0,2 mm/yr | sinking faster than 89 % of them |
| Population aged 65 or over | 21% | 29% | lower than 85 % of them |
Compared with the 921 municipalities in Castile-La Mancha. The bar shows where Daimiel stands: further right means more risk.
| Indicator | Daimiel | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 17 nights | 1 nights | higher than 95 % of them |
| Tropical nights a year, 2050 | 60 nights | 23 nights | higher than 96 % of them |
| Average summer maximum, 2050 | 37,5 °C | 35,4 °C | higher than 95 % of them |
| Night-time heat island | 0,8 °C | 0,1 °C | higher than 93 % of them |
| Flood-prone area (100-year) | 8,5% | 0,7% | higher than 95 % of them |
| Area burnt 2016-2026 | 0,1% | 0,0% | higher than 79 % of them |
| Water stress 2050 (0-5) | 4,8 | 5,0 | lower than 75 % of them |
| Maximum 50-year gust | 31 m/s | 31 m/s | higher than 56 % of them |
| Ground movement | −0,7 mm/yr | −0,3 mm/yr | sinking faster than 86 % of them |
| Population aged 65 or over | 21% | 30% | lower than 82 % of them |
Compared with the 8.217 municipalities in Spain. The bar shows where Daimiel stands: further right means more risk.
| Indicator | Daimiel | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 17 nights | 0 nights | higher than 85 % of them |
| Tropical nights a year, 2050 | 60 nights | 8 nights | higher than 84 % of them |
| Average summer maximum, 2050 | 37,5 °C | 32,4 °C | higher than 97 % of them |
| Night-time heat island | 0,8 °C | 0,1 °C | higher than 87 % of them |
| Flood-prone area (100-year) | 8,5% | 0,6% | higher than 90 % of them |
| Area burnt 2016-2026 | 0,1% | 0,0% | higher than 74 % of them |
| Water stress 2050 (0-5) | 4,8 | 4,6 | higher than 59 % of them |
| Maximum 50-year gust | 31 m/s | 31 m/s | higher than 52 % of them |
| Ground movement | −0,7 mm/yr | −0,4 mm/yr | sinking faster than 65 % of them |
| Population aged 65 or over | 21% | 28% | lower than 77 % of them |
Values for the municipality as a whole (median over built-up land). The position is the percentage of municipalities in the group with a lower value: it is not a probability of damage. 2050 = SSP3-7.0 scenario.
Semicolon-separated tables with a decimal comma, ready to open in a spreadsheet or a GIS (areas include longitude and latitude).
What this is and what it is not. It is a guide-only analysis made with public data and models, with the same rules for every municipality. It does not replace official maps, a technical study or emergency plans. For your own building, look up its report.
Building by building. We have scored the 7.326 Cadastre buildings in Daimiel with the same rules as each building’s report on Mi Riesgo Climático, from 0 to 100 for each hazard: low (up to 25), medium (up to 50), high (up to 75) and very high.
Aggregates only. To protect each owner, no individual building appears here: only 250 m areas with at least 3 buildings, and neighbourhoods and streets with at least 60 homes.
Wildfire and flooding. Wildfire counts proximity to woodland or scrubland of at least 100 ha (not urban parks or tree-lined streets). For flooding, besides the official flood zones, a building that was inside a real flood observed by satellite (Copernicus EMS, such as the 2024 DANA storm) is at least at high level.
2050. Average for 2041-2070 under an intermediate-to-high emissions scenario (SSP3-7.0). Tropical nights and heat change with the climate; flooding, wildfire, wind and ground movement are shown with current data when there is no projection.
Rivers and streams. Named watercourses from OpenStreetMap. We count the homes less than 50 and 100 m from the watercourse and, separately, how many of them are in an official flood zone (SNCZI). Being close does not mean they will flood, and having no official zone does not mean they cannot.
Neighbourhoods and streets. Neighbourhoods and districts from OpenStreetMap; streets according to the Cadastre address. The street heat index combines tropical nights in 2050 (35 %), heat island (30 %), lack of trees (20 %) and buildings from before 1980 (15 %).
Sources. Cadastre (buildings and addresses); ERA5 + CHELSA/CMIP6 MPI-ESM1-2-HR and AdapteCCa (tropical nights and temperature); Landsat 8/9 and MODIS (heat island); ESA WorldCover and EFFIS (wildfire); MITECO SNCZI (flood zones); JRC (coast); ERA5 + Global Wind Atlas (wind); Copernicus EGMS (ground movement); WRI Aqueduct (water); INE (population); OpenStreetMap, © contributors, ODbL (streets, neighbourhoods, rivers and facilities).