We have scored the climate risk of the 11.219 buildings in Lucena using Cadastre data, satellite imagery and climate projections, and added it up by area, street and watercourse. The clearest change comes at night: from 20 to 63 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 Lucena, nights when the temperature stays at or above 20 °C would rise from 20 a year (1991-2020) to about 63 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 2.931 buildings right next to vegetation that can burn. Of these, one is a block of flats with 39 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); 104 of them are in the 100-year area. Next to Río Genil, 53 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 20.198 homes in Lucena 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 Lucena stands: further right means more risk.
| Indicator | Lucena | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 19 nights | 28 nights | lower than 58 % of them |
| Tropical nights a year, 2050 | 54 nights | 74 nights | lower than 64 % of them |
| Average summer maximum, 2050 | 36,7 °C | 32,0 °C | higher than 86 % of them |
| Night-time heat island | 0,1 °C | 0,7 °C | lower than 89 % of them |
| Flood-prone area (100-year) | 2,1% | 2,0% | higher than 51 % of them |
| Area burnt 2016-2026 | 0,0% | 0,0% | lower than 66 % of them |
| Water stress 2050 (0-5) | 5,0 | 4,9 | higher than 76 % of them |
| Maximum 50-year gust | 30 m/s | 29 m/s | higher than 66 % of them |
| Ground movement | 0,8 mm/yr | −0,7 mm/yr | sinking more slowly than 97 % of them |
| Population aged 65 or over | 17% | 19% | lower than 67 % of them |
Compared with the 77 municipalities in Córdoba province. The bar shows where Lucena stands: further right means more risk.
| Indicator | Lucena | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 19 nights | 18 nights | higher than 54 % of them |
| Tropical nights a year, 2050 | 54 nights | 51 nights | higher than 56 % of them |
| Average summer maximum, 2050 | 36,7 °C | 37,0 °C | lower than 57 % of them |
| Night-time heat island | 0,1 °C | 0,2 °C | lower than 55 % of them |
| Flood-prone area (100-year) | 2,1% | 1,5% | higher than 60 % of them |
| Area burnt 2016-2026 | 0,0% | 0,0% | lower than 63 % of them |
| Water stress 2050 (0-5) | 5,0 | 4,9 | higher than 83 % of them |
| Maximum 50-year gust | 30 m/s | 31 m/s | lower than 69 % of them |
| Ground movement | 0,8 mm/yr | 0,5 mm/yr | sinking more slowly than 60 % of them |
| Population aged 65 or over | 17% | 23% | lower than 97 % of them |
Compared with the 786 municipalities in Andalusia. The bar shows where Lucena stands: further right means more risk.
| Indicator | Lucena | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 19 nights | 17 nights | higher than 55 % of them |
| Tropical nights a year, 2050 | 54 nights | 49 nights | higher than 57 % of them |
| Average summer maximum, 2050 | 36,7 °C | 35,2 °C | higher than 72 % of them |
| Night-time heat island | 0,1 °C | 0,3 °C | lower than 66 % of them |
| Flood-prone area (100-year) | 2,1% | 0,8% | higher than 68 % of them |
| Area burnt 2016-2026 | 0,0% | 0,0% | lower than 67 % of them |
| Water stress 2050 (0-5) | 5,0 | 5,0 | higher than 59 % of them |
| Maximum 50-year gust | 30 m/s | 31 m/s | lower than 57 % of them |
| Ground movement | 0,8 mm/yr | 0,0 mm/yr | sinking more slowly than 79 % of them |
| Population aged 65 or over | 17% | 22% | lower than 84 % of them |
Compared with the 8.217 municipalities in Spain. The bar shows where Lucena stands: further right means more risk.
| Indicator | Lucena | Group median | Position |
|---|---|---|---|
| Tropical nights a year, today | 19 nights | 0 nights | higher than 86 % of them |
| Tropical nights a year, 2050 | 54 nights | 8 nights | higher than 80 % of them |
| Average summer maximum, 2050 | 36,7 °C | 32,4 °C | higher than 91 % of them |
| Night-time heat island | 0,1 °C | 0,1 °C | lower than 52 % of them |
| Flood-prone area (100-year) | 2,1% | 0,6% | higher than 66 % of them |
| Area burnt 2016-2026 | 0,0% | 0,0% | lower than 64 % of them |
| Water stress 2050 (0-5) | 5,0 | 4,6 | higher than 82 % of them |
| Maximum 50-year gust | 30 m/s | 31 m/s | lower than 53 % of them |
| Ground movement | 0,8 mm/yr | −0,4 mm/yr | sinking more slowly than 93 % of them |
| Population aged 65 or over | 17% | 28% | lower than 92 % 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 11.219 Cadastre buildings in Lucena 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).