We have scored the climate risk of the 722 buildings in Sant Feliu de Pallerols using Cadastre data, satellite imagery and climate projections, and added it up by area, street and watercourse.
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 between 10 and 20 % tree cover, the surface in summer is 1,3 °C above the median for Sant Feliu de Pallerols; with more than 40 % tree cover, 2,4 °C below. 0 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.
These are 391 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.
Along torrent del Vallac (0,9 km within the municipality) there is no official mapped flood zone, but there are 38 homes less than 50 m from the watercourse.
Having no official map does not mean it cannot overflow: watercourses that are dry most of the year are the ones that cause the most surprises in a storm.
The 769 homes in Sant Feliu de Pallerols 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 Sant Feliu de Pallerols stands: further right means more risk.
| Indicator | Sant Feliu de Pallerols | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 0 nights | 5 nights | lower than 84 % of them |
| Tropical nights a year, 2050 | 6 nights | 34 nights | lower than 70 % of them |
| Average summer maximum, 2050 | 30,0 °C | 33,0 °C | lower than 73 % of them |
| Night-time heat island | 0,0 °C | 0,2 °C | lower than 66 % of them |
| Flood-prone area (100-year) | 0,0% | 1,1% | lower than 85 % of them |
| Area burnt 2016-2026 | 0,0% | 0,0% | lower than 67 % of them |
| Water stress 2050 (0-5) | 4,0 | 4,6 | lower than 64 % of them |
| Maximum 50-year gust | 24 m/s | 30 m/s | lower than 95 % of them |
| Ground movement | −0,8 mm/yr | −0,3 mm/yr | sinking faster than 78 % of them |
| Population aged 65 or over | 21% | 24% | lower than 68 % of them |
Compared with the 221 municipalities in Girona province. The bar shows where Sant Feliu de Pallerols stands: further right means more risk.
| Indicator | Sant Feliu de Pallerols | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 0 nights | 7 nights | lower than 88 % of them |
| Tropical nights a year, 2050 | 6 nights | 56 nights | lower than 82 % of them |
| Average summer maximum, 2050 | 30,0 °C | 31,3 °C | lower than 71 % of them |
| Night-time heat island | 0,0 °C | 0,1 °C | lower than 62 % 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 55 % of them |
| Water stress 2050 (0-5) | 4,0 | 4,1 | lower than 53 % of them |
| Maximum 50-year gust | 24 m/s | 28 m/s | lower than 83 % of them |
| Ground movement | −0,8 mm/yr | −0,5 mm/yr | sinking faster than 85 % of them |
| Population aged 65 or over | 21% | 21% | lower than 53 % of them |
Compared with the 948 municipalities in Catalonia. The bar shows where Sant Feliu de Pallerols stands: further right means more risk.
| Indicator | Sant Feliu de Pallerols | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 0 nights | 5 nights | lower than 85 % of them |
| Tropical nights a year, 2050 | 6 nights | 51 nights | lower than 82 % of them |
| Average summer maximum, 2050 | 30,0 °C | 31,7 °C | lower than 77 % of them |
| Night-time heat island | 0,0 °C | 0,2 °C | lower than 69 % 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) | 4,0 | 4,4 | lower than 62 % of them |
| Maximum 50-year gust | 24 m/s | 27 m/s | lower than 86 % of them |
| Ground movement | −0,8 mm/yr | −0,3 mm/yr | sinking faster than 83 % of them |
| Population aged 65 or over | 21% | 22% | lower than 56 % of them |
Compared with the 8.217 municipalities in Spain. The bar shows where Sant Feliu de Pallerols stands: further right means more risk.
| Indicator | Sant Feliu de Pallerols | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 0 nights | 0 nights | lower than 74 % of them |
| Tropical nights a year, 2050 | 6 nights | 8 nights | lower than 52 % of them |
| Average summer maximum, 2050 | 30,0 °C | 32,4 °C | lower than 75 % of them |
| Night-time heat island | 0,0 °C | 0,1 °C | lower than 60 % 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) | 4,0 | 4,6 | lower than 68 % of them |
| Maximum 50-year gust | 24 m/s | 31 m/s | lower than 96 % of them |
| Ground movement | −0,8 mm/yr | −0,4 mm/yr | sinking faster than 70 % 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 722 Cadastre buildings in Sant Feliu de Pallerols 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).