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Exposure to air pollution - Local areas

<p>This dataset provides estimates on the exposure to air pollution in OECD Local Areas. </p>

<p style="color: #0965c1; font-weight: bold;"> The data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p>

<b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fce45f30-54a0-4847-9f7a-e1be9ef88c0d">Download Microdata </a></b>

<h3>Data sources and methodology</h3> <p align="justify">Air pollution exposure is estimated using Plume Labs air pollution exposure grids for 3 air pollutants: nitrogen dioxide (NO2), fine particulate matters (PM2.5) and coarse particulate matters (PM10). The OECD obtained this dataset thanks to the Development Data Partnership, a collaboration between international organisations and technology companies, facilitating the efficient and responsible use of third-party data in international development. Average population exposure to air pollution is estimated at the local scale by computing the population-weighted average air pollutant concentration, using the Global Human Settlement Layer population grid (GHS-POP). PlumeLabs is used as it provides global, harmonised air pollution grids ensuring international comparability, complete subnational coverage, and consistent measurement of multiple pollutants, including in areas where national monitoring networks are sparse or incomplete. </p> <p align="justify"> These estimates may differ from official subnational air quality statistics due to differences in methodological approaches, such as the use of modelled, top down pollution surfaces versus ground based monitoring networks, as well as variations in input data sources, spatial resolution, satellite retrieval methods, and the models used to simulate or interpolate pollutant concentrations. </p> <h3>Further information</h3> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a>