Land surface temperature - Cities and FUAs — Daytime yearly land surface temperature by country
<p style="text-align: justify;">This dataset provides sub-national indicators on land surface temperature in FUAs and Cities.</p> <h3>Data sources and methodology</h3> <p style="text-align: justify;">Land surface temperature refers to the average temperature of the land surface within a local area, excluding water...
What the numbers show
Land surface temperature - Cities and FUAs — Daytime yearly land surface temperature is currently reported for 2 countries. The highest value is 26.52 Degrees celsius in Armenia; the lowest is 19.04 Degrees celsius in Luxembourg.
The median across all reporting countries is 22.78 Degrees celsius, and the mean is 22.78 Degrees celsius.
Over the past decade 1 countries rose and 1 fell. The largest increase was in Armenia (up 1.6%), and the largest decrease in Luxembourg (down 11.1%).
Land surface temperature - Cities and FUAs — Daytime yearly land: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Armenia | 26.52 Degrees celsius | 2024 | up 1.6% | flat |
| 2 | Luxembourg | 19.04 Degrees celsius | 2024 | down 11.1% | falling |
About this data
<p style="text-align: justify;">This dataset provides sub-national indicators on land surface temperature in FUAs and Cities.</p> <h3>Data sources and methodology</h3> <p style="text-align: justify;">Land surface temperature refers to the average temperature of the land surface within a local area, excluding water bodies. Data are available for both daytime and nighttime, as well as annually and by season (summer and winter). These temperatures are derived from MODIS Aqua and Terra satellite observations, which offer high-frequency measurements at a spatial resolution of 1 km.</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 definition identifies 1 285 FUAs and 1 402 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/1ve>Land surface temperature - 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>