Wind threats - Cities and FUAs — Exposure to wind threats by country
<p align="justify">This dataset provides statistics on wind threats, in Functional Urban Areas (FUAs) and Cities.</p> <h3>Data sources and methodology</h3> <p align="justify">Wind threats are here defined as violent storms or worse (wind gust > 28.6 m/s). Areas are classified as exposed to violent storms or worse...
What the numbers show
Wind threats - Cities and FUAs — Exposure to wind threats is currently reported for 2 countries. The highest value is 0 Percentage of area in Armenia; the lowest is 0 Percentage of area in Luxembourg.
The median across all reporting countries is 0 Percentage of area, and the mean is 0 Percentage of area.
Wind threats - Cities and FUAs — Exposure to wind threats: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Armenia | 0 Percentage of area | 2023 | — | flat |
| 1 | Luxembourg | 0 Percentage of area | 2023 | — | volatile |
About this data
<p align="justify">This dataset provides statistics on wind threats, in Functional Urban Areas (FUAs) and Cities.</p> <h3>Data sources and methodology</h3> <p align="justify">Wind threats are here defined as violent storms or worse (wind gust > 28.6 m/s). Areas are classified as exposed to violent storms or worse if at least once the hourly instantenous wind gust exceeds 28.6 m/s in the year.</p> <p align="justify"> These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of reanalysis based top down modelling versus in situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate temperature estimates. </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 Wind threats - Cities and FUAs, <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>