Coastal flooding - Cities and FUAs — Built-up area exposure to in Charleston

Charleston: Coastal flooding - Cities and FUAs — Built-up area exposure to was 0.7983 Percentage of built-up area in 2022. ▲ Rising

Latest (2022)
0.7983 Percentage of built-up area
Change on year
down 0.4%
Rank
115th
of 1315 regions
All-time high
0.8337 Percentage of built-up area
in 2015
All-time low
0.7357 Percentage of built-up area
in 2004
Years of data
23
2000–2022

Coastal flooding - Cities and FUAs — Built-up area exposure to in Charleston, 2000–2022

00.20.40.60.82000201120222000: 0.78 Percentage of built-up area2001: 0.743 Percentage of built-up area2002: 0.755 Percentage of built-up area2003: 0.745 Percentage of built-up area2004: 0.736 Percentage of built-up area2005: 0.742 Percentage of built-up area2006: 0.754 Percentage of built-up area2007: 0.737 Percentage of built-up area2008: 0.798 Percentage of built-up area2009: 0.806 Percentage of built-up area2010: 0.789 Percentage of built-up area2011: 0.772 Percentage of built-up area2012: 0.758 Percentage of built-up area2013: 0.79 Percentage of built-up area2014: 0.819 Percentage of built-up area2015: 0.834 Percentage of built-up area2016: 0.833 Percentage of built-up area2017: 0.83 Percentage of built-up area2018: 0.83 Percentage of built-up area2019: 0.83 Percentage of built-up area2020: 0.83 Percentage of built-up area2021: 0.802 Percentage of built-up area2022: 0.798 Percentage of built-up area

Source: Organisation for Economic Co-operation and Development. Measured in Percentage of built-up area.

Analysis

Charleston recorded 0.7983 Percentage of built-up area for coastal flooding - cities and fuas — built-up area exposure to in 2022.

That represents a change of down 0.4% on the previous year and up 5.3% over ten years.

Over the whole period, coastal flooding - cities and fuas — built-up area exposure to in Charleston peaked at 0.8337 Percentage of built-up area in 2015 and was at its lowest, 0.7357 Percentage of built-up area, in 2004.

Charleston ranks 115th of 1315 regions on this measure, in the top 10%.

The long-run direction has been consistently rising across the 23 years of available data.

Coastal flooding - Cities and FUAs — Built-up area exposure to in Charleston, year by year

Annual values for Coastal flooding - Cities and FUAs — Built-up area exposure to coastal flooding in Charleston, 2000 to 2022.
Year Percentage of built-up area Change
2000 0.7804 Percentage of built-up area
2001 0.7428 Percentage of built-up area -4.8%
2002 0.7548 Percentage of built-up area +1.6%
2003 0.7449 Percentage of built-up area -1.3%
2004 0.7357 Percentage of built-up area -1.2%
2005 0.7418 Percentage of built-up area +0.8%
2006 0.7537 Percentage of built-up area +1.6%
2007 0.7373 Percentage of built-up area -2.2%
2008 0.798 Percentage of built-up area +8.2%
2009 0.8057 Percentage of built-up area +1.0%
2010 0.7886 Percentage of built-up area -2.1%
2011 0.7718 Percentage of built-up area -2.1%
2012 0.7579 Percentage of built-up area -1.8%
2013 0.7905 Percentage of built-up area +4.3%
2014 0.8193 Percentage of built-up area +3.6%
2015 0.8337 Percentage of built-up area +1.8%
2016 0.8333 Percentage of built-up area -0.1%
2017 0.8304 Percentage of built-up area -0.3%
2018 0.8304 Percentage of built-up area +0.0%
2019 0.8302 Percentage of built-up area -0.0%
2020 0.8302 Percentage of built-up area +0.0%
2021 0.8019 Percentage of built-up area -3.4%
2022 0.7983 Percentage of built-up area -0.4%

Averages by decade

DecadeAverage LowestHighest Years
2000s 0.7595 Percentage of built-up area 0.7357 Percentage of built-up area 0.8057 Percentage of built-up area 10
2010s 0.8086 Percentage of built-up area 0.7579 Percentage of built-up area 0.8337 Percentage of built-up area 10
2020s 0.8102 Percentage of built-up area 0.7983 Percentage of built-up area 0.8302 Percentage of built-up area 3

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Frequently asked questions

What is coastal flooding - cities and fuas — built-up area exposure to in Charleston?
Coastal flooding - cities and fuas — built-up area exposure to in Charleston was 0.7983 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 Charleston?
The highest recorded value was 0.8337 Percentage of built-up area in 2015.
What is the lowest coastal flooding - cities and fuas — built-up area exposure to recorded in Charleston?
The lowest recorded value was 0.7357 Percentage of built-up area in 2004.
How does Charleston rank for coastal flooding - cities and fuas — built-up area exposure to?
Charleston ranks 115th out of 1315 regions with data for 2022.
Is coastal flooding - cities and fuas — built-up area exposure to rising or falling in Charleston?
Over the last ten years it is up 5.3%. The long-run trend across the full record is rising.
Where does this Charleston 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.

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Coastal flooding - Cities and FUAs — Built-up area exposure to in Charleston. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 23 August 2026, from https://reference.statizoid.com/stat/coastal-flooding-cities-and-fuas-built-up-area-exposure-to-coastal-flooding/charleston/

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About this data

Indicator
Coastal flooding - Cities and FUAs — Built-up area exposure to coastal flooding
Unit
Percentage of built-up area
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
1,326 places, 30,497 data points, 2000–2022
Last refreshed

This dataset provides indicators of population and built-up exposure to coastal floods. Data sources and methodology Coastal flooding indicators are estimated using the Global coastal flood hazard maps (Muis, S. et al., 2016). 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 (Copernicus Climate Change Service, Climate Data Store, 2019) and population exposure is computed using the Global Human Settlement Population layer (European Commission, GHSL Data Package 2023). 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. Defining FUAs and cities The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of: A city – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city. A commuting zone – including all local areas where at least 15% of employed residents work in the city. The delineation process includes: Assigning municipalities surrounded by a single FUA to that FUA. Excluding non-contiguous municipalities. The correspondence table between SAUs and FUAs/cities is available in parquet and csv format. The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and three accession countries. Cite this dataset OECD Regions, cities and local areas database (Coastal flooding - Cities and FUAs), http://oe.cd/geostats Further information OECD Local Data Portal OECD Regions and Cities at a Glance For questions and/or comments, please email CitiesStat@oecd.org