We have scored the climate risk of the 2.297 buildings in Sant Sadurní d'Anoia using Cadastre data, satellite imagery and climate projections, and added it up by area, street and watercourse. The clearest change comes at night: from 6 to 47 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 Sant Sadurní d'Anoia, nights when the temperature stays at or above 20 °C would rise from 6 a year (1991-2020) to about 47 by 2050. For this reason, 99 % 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 203 buildings right next to vegetation that can burn. Of these, one is a block of flats with 24 homes, where evacuation is harder.
Proximity to woodland and to burnt areas (ESA WorldCover, EFFIS). It does not measure the state of the vegetation or any firebreaks.
They were built before the first thermal insulation standard (1979). With 47 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 5.554 homes in Sant Sadurní d'Anoia 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 Sant Sadurní d'Anoia stands: further right means more risk.
| Indicator | Sant Sadurní d'Anoia | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 5 nights | 10 nights | lower than 60 % of them |
| Tropical nights a year, 2050 | 63 nights | 48 nights | higher than 68 % of them |
| Average summer maximum, 2050 | 31,2 °C | 32,4 °C | lower than 60 % of them |
| Night-time heat island | 0,2 °C | 0,4 °C | lower than 69 % of them |
| Flood-prone area (100-year) | 5,1% | 1,2% | higher than 79 % of them |
| Area burnt 2016-2026 | 0,0% | 0,0% | lower than 67 % of them |
| Water stress 2050 (0-5) | 3,3 | 4,8 | lower than 72 % of them |
| Maximum 50-year gust | 28 m/s | 30 m/s | lower than 73 % of them |
| Ground movement | 0,9 mm/yr | −0,6 mm/yr | sinking more slowly than 95 % of them |
| Population aged 65 or over | 19% | 20% | lower than 57 % of them |
Compared with the 311 municipalities in Barcelona province. The bar shows where Sant Sadurní d'Anoia stands: further right means more risk.
| Indicator | Sant Sadurní d'Anoia | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 5 nights | 2 nights | higher than 59 % of them |
| Tropical nights a year, 2050 | 63 nights | 46 nights | higher than 68 % of them |
| Average summer maximum, 2050 | 31,2 °C | 30,9 °C | higher than 61 % of them |
| Night-time heat island | 0,2 °C | 0,3 °C | lower than 60 % of them |
| Flood-prone area (100-year) | 5,1% | 0,0% | higher than 84 % of them |
| Area burnt 2016-2026 | 0,0% | 0,0% | lower than 57 % of them |
| Water stress 2050 (0-5) | 3,3 | 4,1 | lower than 81 % of them |
| Maximum 50-year gust | 28 m/s | 27 m/s | higher than 58 % of them |
| Ground movement | 0,9 mm/yr | −0,4 mm/yr | sinking more slowly than 93 % 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 Sant Sadurní d'Anoia stands: further right means more risk.
| Indicator | Sant Sadurní d'Anoia | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 5 nights | 5 nights | higher than 52 % of them |
| Tropical nights a year, 2050 | 63 nights | 51 nights | higher than 68 % of them |
| Average summer maximum, 2050 | 31,2 °C | 31,7 °C | lower than 60 % of them |
| Night-time heat island | 0,2 °C | 0,2 °C | lower than 53 % of them |
| Flood-prone area (100-year) | 5,1% | 0,2% | higher than 81 % of them |
| Area burnt 2016-2026 | 0,0% | 0,0% | lower than 59 % of them |
| Water stress 2050 (0-5) | 3,3 | 4,4 | lower than 76 % of them |
| Maximum 50-year gust | 28 m/s | 27 m/s | higher than 51 % of them |
| Ground movement | 0,9 mm/yr | −0,3 mm/yr | sinking more slowly than 93 % 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 Sant Sadurní d'Anoia stands: further right means more risk.
| Indicator | Sant Sadurní d'Anoia | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 5 nights | 0 nights | higher than 68 % of them |
| Tropical nights a year, 2050 | 63 nights | 8 nights | higher than 87 % of them |
| Average summer maximum, 2050 | 31,2 °C | 32,4 °C | lower than 65 % of them |
| Night-time heat island | 0,2 °C | 0,1 °C | higher than 56 % of them |
| Flood-prone area (100-year) | 5,1% | 0,6% | higher than 83 % of them |
| Area burnt 2016-2026 | 0,0% | 0,0% | lower than 64 % of them |
| Water stress 2050 (0-5) | 3,3 | 4,6 | lower than 79 % of them |
| Maximum 50-year gust | 28 m/s | 31 m/s | lower than 79 % of them |
| Ground movement | 0,9 mm/yr | −0,4 mm/yr | sinking more slowly than 95 % 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 2.297 Cadastre buildings in Sant Sadurní d'Anoia 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).