Coastal flooding - Cities and FUAs — Built-up area exposure to in Baltimore
Baltimore: Coastal flooding - Cities and FUAs — Built-up area exposure to was 0.1303 Percentage of built-up area in 2022. ▲ Rising
Coastal flooding - Cities and FUAs — Built-up area exposure to in Baltimore, 2000–2022
Source: Organisation for Economic Co-operation and Development. Measured in Percentage of built-up area.
Analysis
Baltimore recorded 0.1303 Percentage of built-up area for coastal flooding - cities and fuas — built-up area exposure to in 2022.
Compared with earlier readings it is down 0.5% on the previous year and up 3.5% over ten years.
Over the whole period, coastal flooding - cities and fuas — built-up area exposure to in Baltimore peaked at 0.1309 Percentage of built-up area in 2021 and was at its lowest, 0.1034 Percentage of built-up area, in 2009.
That places Baltimore 170th out of 1324 regions with data for 2022, putting it in the top quarter.
The long-run direction has been consistently rising across the 23 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.1092 Percentage of built-up area | 0.1034 Percentage of built-up area | 0.1194 Percentage of built-up area | 10 |
| 2010s | 0.1232 Percentage of built-up area | 0.1184 Percentage of built-up area | 0.126 Percentage of built-up area | 10 |
| 2020s | 0.1283 Percentage of built-up area | 0.1235 Percentage of built-up area | 0.1309 Percentage of built-up area | 3 |
More reference data data for Baltimore
- Cooling and heating degree days - Cities and FUAs — Cooling degree 197.71 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs — Change in cooling -99.56 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs 1,864 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs — Change in heating -148.08 Degree days (2025)
- Precipitation - Cities and FUAs — Extreme precipitation days 12 Days per year (2024)
- Precipitation - Cities and FUAs — Change in extreme precipitation -1.78 Days per year (2024)
- Dependency ratio - Cities and FUAs 27.6 Percentage of population aged 15-64 years (2024)
- Wind threats - Cities and FUAs — Exposure to wind threats 0 Percentage of area (2023)
- Main mode of transport to work - Cities and FUAs — Employed persons 587,358 Persons (2023)
- Internet speed - Cities and FUAs — Downloading speed -3.6 Percentage of national value (2025)
Frequently asked questions
- What is coastal flooding - cities and fuas — built-up area exposure to in Baltimore?
- Coastal flooding - cities and fuas — built-up area exposure to in Baltimore was 0.1303 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 Baltimore?
- The highest recorded value was 0.1309 Percentage of built-up area in 2021.
- What is the lowest coastal flooding - cities and fuas — built-up area exposure to recorded in Baltimore?
- The lowest recorded value was 0.1034 Percentage of built-up area in 2009.
- How does Baltimore rank for coastal flooding - cities and fuas — built-up area exposure to?
- Baltimore ranks 170th out of 1324 regions with data for 2022.
- Is coastal flooding - cities and fuas — built-up area exposure to rising or falling in Baltimore?
- Over the last ten years it is up 3.5%. The long-run trend across the full record is rising.
- Where does this Baltimore 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
<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>