We have scored the climate risk of the 2.135 buildings in Pechina using Cadastre data, satellite imagery and climate projections, and added it up by area, street and watercourse. The clearest change comes at night: from 78 to 110 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 Pechina, nights when the temperature stays at or above 20 °C would rise from 78 a year (1991-2020) to about 110 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 887 buildings right next to vegetation that can burn. Of these, 4 are blocks of flats with 105 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 are in the area that can flood once every 500 years according to the official maps (SNCZI); 63 of them are in the 100-year area. Next to Rambla de San Indalecio, 1 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.
The 1.725 homes in Pechina 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 Pechina stands: further right means more risk.
| Indicator | Pechina | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 76 nights | 5 nights | higher than 100 % of them |
| Tropical nights a year, 2050 | 127 nights | 34 nights | higher than 100 % of them |
| Average summer maximum, 2050 | 33,5 °C | 33,0 °C | higher than 53 % of them |
| Night-time heat island | 1,1 °C | 0,2 °C | higher than 92 % of them |
| Flood-prone area (100-year) | 0,9% | 1,1% | lower than 53 % of them |
| Area burnt 2016-2026 | 2,6% | 0,0% | higher than 85 % of them |
| Water stress 2050 (0-5) | 5,0 | 4,6 | higher than 81 % of them |
| Maximum 50-year gust | 26 m/s | 30 m/s | lower than 87 % of them |
| Ground movement | −1,3 mm/yr | −0,3 mm/yr | sinking faster than 91 % of them |
| Population aged 65 or over | 14% | 24% | lower than 96 % of them |
Compared with the 103 municipalities in Almería province. The bar shows where Pechina stands: further right means more risk.
| Indicator | Pechina | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 76 nights | 22 nights | higher than 89 % of them |
| Tropical nights a year, 2050 | 127 nights | 61 nights | higher than 91 % of them |
| Average summer maximum, 2050 | 33,5 °C | 33,0 °C | higher than 65 % of them |
| Night-time heat island | 1,1 °C | 0,6 °C | higher than 76 % of them |
| Flood-prone area (100-year) | 0,9% | 0,5% | higher than 57 % of them |
| Area burnt 2016-2026 | 2,6% | 0,0% | higher than 87 % of them |
| Water stress 2050 (0-5) | 5,0 | 5,0 | higher than 50 % of them |
| Maximum 50-year gust | 26 m/s | 28 m/s | lower than 70 % of them |
| Ground movement | −1,3 mm/yr | −0,9 mm/yr | sinking faster than 76 % of them |
| Population aged 65 or over | 14% | 27% | lower than 91 % of them |
Compared with the 786 municipalities in Andalusia. The bar shows where Pechina stands: further right means more risk.
| Indicator | Pechina | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 76 nights | 17 nights | higher than 98 % of them |
| Tropical nights a year, 2050 | 127 nights | 49 nights | higher than 99 % of them |
| Average summer maximum, 2050 | 33,5 °C | 35,2 °C | lower than 68 % of them |
| Night-time heat island | 1,1 °C | 0,3 °C | higher than 87 % of them |
| Flood-prone area (100-year) | 0,9% | 0,8% | higher than 53 % of them |
| Area burnt 2016-2026 | 2,6% | 0,0% | higher than 88 % of them |
| Water stress 2050 (0-5) | 5,0 | 5,0 | higher than 59 % of them |
| Maximum 50-year gust | 26 m/s | 31 m/s | lower than 85 % of them |
| Ground movement | −1,3 mm/yr | 0,0 mm/yr | sinking faster than 95 % of them |
| Population aged 65 or over | 14% | 22% | lower than 95 % of them |
Compared with the 8.217 municipalities in Spain. The bar shows where Pechina stands: further right means more risk.
| Indicator | Pechina | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 76 nights | 0 nights | higher than 99 % of them |
| Tropical nights a year, 2050 | 127 nights | 8 nights | higher than 99 % of them |
| Average summer maximum, 2050 | 33,5 °C | 32,4 °C | higher than 66 % of them |
| Night-time heat island | 1,1 °C | 0,1 °C | higher than 93 % of them |
| Flood-prone area (100-year) | 0,9% | 0,6% | higher than 54 % of them |
| Area burnt 2016-2026 | 2,6% | 0,0% | higher than 88 % of them |
| Water stress 2050 (0-5) | 5,0 | 4,6 | higher than 82 % of them |
| Maximum 50-year gust | 26 m/s | 31 m/s | lower than 89 % of them |
| Ground movement | −1,3 mm/yr | −0,4 mm/yr | sinking faster than 88 % of them |
| Population aged 65 or over | 14% | 28% | lower than 97 % 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 2.135 Cadastre buildings in Pechina 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).