Coastal flooding - Cities and FUAs — Built-up area exposure to coastal flooding by country
<p align="justify">This dataset provides indicators of population and built-up exposure to coastal floods.</p> <h3>Data sources and methodology</h3> <p align="justify">Coastal flooding indicators are estimated using the Global coastal flood hazard maps <a href=https://doi.org/10.1038/ncomms11969>(Muis, S. et al.,...
What the numbers show
Coastal flooding - Cities and FUAs — Built-up area exposure to coastal flooding is currently reported for 2 countries. The highest value is 0 Percentage of built-up area in Armenia; the lowest is 0 Percentage of built-up area in Luxembourg.
The median across all reporting countries is 0 Percentage of built-up area, and the mean is 0 Percentage of built-up area.
Coastal flooding - Cities and FUAs — Built-up area exposure to: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 277 | Armenia | 0 Percentage of built-up area | 2022 | — | flat |
| 277 | Luxembourg | 0 Percentage of built-up area | 2022 | — | flat |
About this data
<p align="justify">This dataset provides indicators of population and built-up exposure to coastal floods.</p> <h3>Data sources and methodology</h3> <p align="justify">Coastal flooding indicators are estimated using the Global coastal flood hazard maps <a href=https://doi.org/10.1038/ncomms11969>(Muis, S. et al., 2016)</a>. 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 <a href=https://doi.org/10.24381/cds.006f2c9a>(Copernicus Climate Change Service, Climate Data Store, 2019)</a> and population exposure is computed using the Global Human Settlement Population layer <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. 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.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The correspondence table between SAUs and FUAs/cities is available in <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.parquet>parquet </a> and <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.csv>csv</a> format. The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1da">Coastal flooding - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a>