We have scored the climate risk of the 3.360 buildings in Barberà del Vallès using Cadastre data, satellite imagery and climate projections, and added it up by area, street and watercourse. The clearest change comes at night: from 30 to 70 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.
In a typical building in Barberà del Vallès, nights when the temperature stays at or above 20 °C would rise from 30 a year (1991-2020) to about 70 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).
Schools whose surroundings are at least 1 °C hotter than the municipal median in summer. They are the first candidates for shade and tree-lined playgrounds.
Ground surface temperature (Landsat) around the building closest to the OpenStreetMap point.
They were built before the first thermal insulation standard (1979). With 70 tropical nights a year by 2050, they will hold the most heat at night and have the most to gain from a retrofit.
Year of construction from the Cadastre.
The 13.432 homes in Barberà del Vallès 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 365 municipalities with between 20.000 and 100.000 inhabitants. The bar shows where Barberà del Vallès stands: further right means more risk.
| Indicator | Barberà del Vallès | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 30 nights | 28 nights | higher than 53 % of them |
| Tropical nights a year, 2050 | 89 nights | 74 nights | higher than 59 % of them |
| Average summer maximum, 2050 | 31,0 °C | 32,0 °C | lower than 62 % of them |
| Night-time heat island | 2,0 °C | 0,7 °C | higher than 94 % of them |
| Flood-prone area (100-year) | 0,0% | 2,0% | lower than 89 % of them |
| Area burnt 2016-2026 | 0,0% | 0,0% | lower than 66 % of them |
| Water stress 2050 (0-5) | 4,9 | 4,9 | lower than 55 % of them |
| Maximum 50-year gust | 26 m/s | 29 m/s | lower than 88 % of them |
| Ground movement | −0,7 mm/yr | −0,7 mm/yr | sinking more slowly than 51 % of them |
| Population aged 65 or over | 19% | 19% | higher than 55 % of them |
Compared with the 311 municipalities in Barcelona province. The bar shows where Barberà del Vallès stands: further right means more risk.
| Indicator | Barberà del Vallès | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 30 nights | 2 nights | higher than 83 % of them |
| Tropical nights a year, 2050 | 89 nights | 46 nights | higher than 84 % of them |
| Average summer maximum, 2050 | 31,0 °C | 30,9 °C | higher than 53 % of them |
| Night-time heat island | 2,0 °C | 0,3 °C | higher than 95 % of them |
| Flood-prone area (100-year) | 0,0% | 0,0% | lower than 72 % of them |
| Area burnt 2016-2026 | 0,0% | 0,0% | lower than 57 % of them |
| Water stress 2050 (0-5) | 4,9 | 4,1 | higher than 78 % of them |
| Maximum 50-year gust | 26 m/s | 27 m/s | lower than 62 % of them |
| Ground movement | −0,7 mm/yr | −0,4 mm/yr | sinking faster than 72 % of them |
| Population aged 65 or over | 19% | 20% | lower than 56 % of them |
Compared with the 948 municipalities in Catalonia. The bar shows where Barberà del Vallès stands: further right means more risk.
| Indicator | Barberà del Vallès | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 30 nights | 5 nights | higher than 87 % of them |
| Tropical nights a year, 2050 | 89 nights | 51 nights | higher than 90 % of them |
| Average summer maximum, 2050 | 31,0 °C | 31,7 °C | lower than 65 % of them |
| Night-time heat island | 2,0 °C | 0,2 °C | higher than 97 % of them |
| Flood-prone area (100-year) | 0,0% | 0,2% | lower than 77 % of them |
| Area burnt 2016-2026 | 0,0% | 0,0% | lower than 59 % of them |
| Water stress 2050 (0-5) | 4,9 | 4,4 | higher than 82 % of them |
| Maximum 50-year gust | 26 m/s | 27 m/s | lower than 72 % of them |
| Ground movement | −0,7 mm/yr | −0,3 mm/yr | sinking faster than 77 % of them |
| Population aged 65 or over | 19% | 22% | lower than 73 % of them |
Compared with the 8.217 municipalities in Spain. The bar shows where Barberà del Vallès stands: further right means more risk.
| Indicator | Barberà del Vallès | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 30 nights | 0 nights | higher than 92 % of them |
| Tropical nights a year, 2050 | 89 nights | 8 nights | higher than 94 % of them |
| Average summer maximum, 2050 | 31,0 °C | 32,4 °C | lower than 67 % of them |
| Night-time heat island | 2,0 °C | 0,1 °C | higher than 99 % of them |
| Flood-prone area (100-year) | 0,0% | 0,6% | lower than 80 % of them |
| Area burnt 2016-2026 | 0,0% | 0,0% | lower than 64 % of them |
| Water stress 2050 (0-5) | 4,9 | 4,6 | higher than 61 % of them |
| Maximum 50-year gust | 26 m/s | 31 m/s | lower than 90 % of them |
| Ground movement | −0,7 mm/yr | −0,4 mm/yr | sinking faster than 65 % of them |
| Population aged 65 or over | 19% | 28% | lower than 85 % 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 3.360 Cadastre buildings in Barberà del Vallès 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).