We have scored the climate risk of the 1.656 buildings in Villablanca using Cadastre data, satellite imagery and climate projections, and added it up by area, street and watercourse. The clearest change comes at night: from 24 to 52 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.
Around homes with less than 2 % tree cover, the surface in summer is 0,3 °C above the median for Villablanca; with more than 40 % tree cover, 3,1 °C below. 910 homes are in surroundings with almost no trees.
Ground surface temperature (Landsat), not air temperature. More trees usually go with less asphalt and lower density: this is a correlation, not a measure of the effect of planting trees.
In a typical building in Villablanca, nights when the temperature stays at or above 20 °C would rise from 24 a year (1991-2020) to about 52 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).
These are 227 buildings right next to vegetation that can burn. Almost all are houses (227), on the edges of the town and in housing estates.
Proximity to woodland and to burnt areas (ESA WorldCover, EFFIS). It does not measure the state of the vegetation or any firebreaks.
The 1.789 homes in Villablanca 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 1.826 municipalities with between 1.000 and 5.000 inhabitants. The bar shows where Villablanca stands: further right means more risk.
| Indicator | Villablanca | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 23 nights | 5 nights | higher than 85 % of them |
| Tropical nights a year, 2050 | 55 nights | 34 nights | higher than 72 % of them |
| Average summer maximum, 2050 | 34,4 °C | 33,0 °C | higher than 60 % of them |
| Night-time heat island | 0,1 °C | 0,2 °C | lower than 58 % of them |
| Flood-prone area (100-year) | 0,2% | 1,1% | lower than 66 % of them |
| Area burnt 2016-2026 | 3,7% | 0,0% | higher than 87 % of them |
| Water stress 2050 (0-5) | 4,7 | 4,6 | higher than 55 % of them |
| Maximum 50-year gust | 36 m/s | 30 m/s | higher than 92 % of them |
| Ground movement | −0,1 mm/yr | −0,3 mm/yr | sinking more slowly than 64 % of them |
| Population aged 65 or over | 18% | 24% | lower than 84 % of them |
Compared with the 80 municipalities in Huelva province. The bar shows where Villablanca stands: further right means more risk.
| Indicator | Villablanca | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 23 nights | 12 nights | higher than 94 % of them |
| Tropical nights a year, 2050 | 55 nights | 37 nights | higher than 92 % of them |
| Average summer maximum, 2050 | 34,4 °C | 35,9 °C | lower than 89 % of them |
| Night-time heat island | 0,1 °C | 0,2 °C | lower than 58 % of them |
| Flood-prone area (100-year) | 0,2% | 1,1% | lower than 67 % of them |
| Area burnt 2016-2026 | 3,7% | 0,9% | higher than 67 % of them |
| Water stress 2050 (0-5) | 4,7 | 4,9 | lower than 73 % of them |
| Maximum 50-year gust | 36 m/s | 34 m/s | higher than 74 % of them |
| Ground movement | −0,1 mm/yr | 0,0 mm/yr | sinking faster than 60 % of them |
| Population aged 65 or over | 18% | 22% | lower than 79 % of them |
Compared with the 786 municipalities in Andalusia. The bar shows where Villablanca stands: further right means more risk.
| Indicator | Villablanca | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 23 nights | 17 nights | higher than 64 % of them |
| Tropical nights a year, 2050 | 55 nights | 49 nights | higher than 58 % of them |
| Average summer maximum, 2050 | 34,4 °C | 35,2 °C | lower than 59 % of them |
| Night-time heat island | 0,1 °C | 0,3 °C | lower than 66 % of them |
| Flood-prone area (100-year) | 0,2% | 0,8% | lower than 61 % of them |
| Area burnt 2016-2026 | 3,7% | 0,0% | higher than 90 % of them |
| Water stress 2050 (0-5) | 4,7 | 5,0 | lower than 93 % of them |
| Maximum 50-year gust | 36 m/s | 31 m/s | higher than 89 % of them |
| Ground movement | −0,1 mm/yr | 0,0 mm/yr | sinking faster than 58 % of them |
| Population aged 65 or over | 18% | 22% | lower than 79 % of them |
Compared with the 8.217 municipalities in Spain. The bar shows where Villablanca stands: further right means more risk.
| Indicator | Villablanca | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 23 nights | 0 nights | higher than 89 % of them |
| Tropical nights a year, 2050 | 55 nights | 8 nights | higher than 81 % of them |
| Average summer maximum, 2050 | 34,4 °C | 32,4 °C | higher than 74 % of them |
| Night-time heat island | 0,1 °C | 0,1 °C | lower than 52 % of them |
| Flood-prone area (100-year) | 0,2% | 0,6% | lower than 55 % of them |
| Area burnt 2016-2026 | 3,7% | 0,0% | higher than 89 % of them |
| Water stress 2050 (0-5) | 4,7 | 4,6 | higher than 58 % of them |
| Maximum 50-year gust | 36 m/s | 31 m/s | higher than 93 % of them |
| Ground movement | −0,1 mm/yr | −0,4 mm/yr | sinking more slowly than 70 % of them |
| Population aged 65 or over | 18% | 28% | lower than 89 % 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 1.656 Cadastre buildings in Villablanca 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).