Coastal flooding - Cities and FUAs — Built-up area exposure to in Pisa
Pisa: Coastal flooding - Cities and FUAs — Built-up area exposure to was 0.2095 Percentage of built-up area in 2022. ◆ Volatile
Coastal flooding - Cities and FUAs — Built-up area exposure to in Pisa, 2000–2022
Source: Organisation for Economic Co-operation and Development. Measured in Percentage of built-up area.
Analysis
The most recent figure for coastal flooding - cities and fuas — built-up area exposure to in Pisa is 0.2095 Percentage of built-up area, measured in 2022.
Compared with earlier readings it is down 1.8% on the previous year.
Over the whole period, coastal flooding - cities and fuas — built-up area exposure to in Pisa peaked at 0.2133 Percentage of built-up area in 2021 and was at its lowest, 0 Percentage of built-up area, in 2000.
Pisa ranks 155th of 1324 regions on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0 Percentage of built-up area | 0 Percentage of built-up area | 0 Percentage of built-up area | 10 |
| 2010s | 0 Percentage of built-up area | 0 Percentage of built-up area | 0 Percentage of built-up area | 10 |
| 2020s | 0.1409 Percentage of built-up area | 0 Percentage of built-up area | 0.2133 Percentage of built-up area | 3 |
More reference data data for Pisa
- Cooling and heating degree days - Cities and FUAs — Change in heating -196.92 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs 868.65 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs — Change in cooling 166.28 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs — Cooling degree 341.7 Degree days (2025)
- Precipitation - Cities and FUAs — Change in extreme precipitation 4.91 Days per year (2024)
- Precipitation - Cities and FUAs — Extreme precipitation days 17.4 Days per year (2024)
- Assumptions for probability of dying by age, sex, type of projection 0.0002 (2100)
- Cooling and heating degree days by NUTS 2 regions - monthly data 246.06 (2025)
- Cooling and heating degree days by NUTS 2 regions - annual data 1,204 (2025)
- Dependency ratio - Cities and FUAs 41.2 Percentage of population aged 15-64 years (2024)
Frequently asked questions
- What is coastal flooding - cities and fuas — built-up area exposure to in Pisa?
- Coastal flooding - cities and fuas — built-up area exposure to in Pisa was 0.2095 Percentage of built-up area in 2022, according to Organisation for Economic Co-operation and Development.
- What is the highest coastal flooding - cities and fuas — built-up area exposure to recorded in Pisa?
- The highest recorded value was 0.2133 Percentage of built-up area in 2021.
- What is the lowest coastal flooding - cities and fuas — built-up area exposure to recorded in Pisa?
- The lowest recorded value was 0 Percentage of built-up area in 2000.
- How does Pisa rank for coastal flooding - cities and fuas — built-up area exposure to?
- Pisa ranks 155th out of 1324 regions with data for 2022.
- Where does this Pisa data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of Coastal flooding - Cities and FUAs — Built-up area exposure to coastal flooding. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 23 observations, free to reuse under OECD Terms and Conditions (attribution required).
About this data
This dataset provides indicators of population and built-up exposure to coastal floods. Data sources and methodology Coastal flooding indicators are estimated using the Global coastal flood hazard maps (Muis, S. et al., 2016). This dataset provides the extent of coastal floods for different return periods (10 to 100 years) with a 1-kilometre resolution. A return period corresponds to the estimated time interval between floods of similar intensity. Built-up area exposure to coastal floods is computed by intersecting this map with Copernius annual land cover data (Copernicus Climate Change Service, Climate Data Store, 2019) and population exposure is computed using the Global Human Settlement Population layer (European Commission, GHSL Data Package 2023). Harmonised international hazard models are used to ensure global comparability, consistent modelling assumptions across countries, and complete subnational coverage. These estimates may differ from official subnational flood risk statistics due to differences in methodological approaches - such as the use of global, modelled top down hazard maps versus national hydrological models or administrative flood zone delineations - as well as variations in input data sources, spatial resolution, and hydraulic modelling techniques. Defining FUAs and cities The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of: A city – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city. A commuting zone – including all local areas where at least 15% of employed residents work in the city. The delineation process includes: Assigning municipalities surrounded by a single FUA to that FUA. Excluding non-contiguous municipalities. The correspondence table between SAUs and FUAs/cities is available in parquet and csv format. The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and three accession countries. Cite this dataset OECD Regions, cities and local areas database (Coastal flooding - Cities and FUAs), http://oe.cd/geostats Further information OECD Local Data Portal OECD Regions and Cities at a Glance For questions and/or comments, please email CitiesStat@oecd.org