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

Tomakomai: Coastal flooding - Cities and FUAs — Built-up area exposure to was 0.1304 Percentage of built-up area in 2022. ▲ Rising

Latest (2022)
0.1304 Percentage of built-up area
Change on year
down 4.2%
Rank
169th
of 1315 regions
All-time high
0.1433 Percentage of built-up area
in 2013
All-time low
0.0415 Percentage of built-up area
in 2001
Years of data
23
2000–2022

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

0.050.0750.10.1250.152000201120222000: 0.042 Percentage of built-up area2001: 0.042 Percentage of built-up area2002: 0.12 Percentage of built-up area2003: 0.116 Percentage of built-up area2004: 0.115 Percentage of built-up area2005: 0.101 Percentage of built-up area2006: 0.097 Percentage of built-up area2007: 0.094 Percentage of built-up area2008: 0.092 Percentage of built-up area2009: 0.091 Percentage of built-up area2010: 0.118 Percentage of built-up area2011: 0.117 Percentage of built-up area2012: 0.116 Percentage of built-up area2013: 0.143 Percentage of built-up area2014: 0.142 Percentage of built-up area2015: 0.141 Percentage of built-up area2016: 0.14 Percentage of built-up area2017: 0.138 Percentage of built-up area2018: 0.138 Percentage of built-up area2019: 0.136 Percentage of built-up area2020: 0.136 Percentage of built-up area2021: 0.136 Percentage of built-up area2022: 0.13 Percentage of built-up area

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

Analysis

Tomakomai recorded 0.1304 Percentage of built-up area for coastal flooding - cities and fuas — built-up area exposure to in 2022.

That represents a change of down 4.2% on the previous year and up 12.5% over ten years.

Over the whole period, coastal flooding - cities and fuas — built-up area exposure to in Tomakomai peaked at 0.1433 Percentage of built-up area in 2013 and was at its lowest, 0.0415 Percentage of built-up area, in 2001.

Tomakomai ranks 169th of 1315 regions on this measure, in the top quarter.

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 Tomakomai, year by year

Annual values for Coastal flooding - Cities and FUAs — Built-up area exposure to coastal flooding in Tomakomai, 2000 to 2022.
Year Percentage of built-up area Change
2000 0.0424 Percentage of built-up area
2001 0.0415 Percentage of built-up area -2.1%
2002 0.1198 Percentage of built-up area +188.6%
2003 0.1163 Percentage of built-up area -2.9%
2004 0.1154 Percentage of built-up area -0.8%
2005 0.1006 Percentage of built-up area -12.8%
2006 0.0973 Percentage of built-up area -3.3%
2007 0.0938 Percentage of built-up area -3.6%
2008 0.0917 Percentage of built-up area -2.3%
2009 0.091 Percentage of built-up area -0.8%
2010 0.118 Percentage of built-up area +29.8%
2011 0.1173 Percentage of built-up area -0.6%
2012 0.116 Percentage of built-up area -1.2%
2013 0.1433 Percentage of built-up area +23.6%
2014 0.1417 Percentage of built-up area -1.1%
2015 0.1409 Percentage of built-up area -0.6%
2016 0.1397 Percentage of built-up area -0.8%
2017 0.1383 Percentage of built-up area -1.0%
2018 0.1383 Percentage of built-up area +0.0%
2019 0.1357 Percentage of built-up area -1.9%
2020 0.1357 Percentage of built-up area +0.0%
2021 0.1362 Percentage of built-up area +0.4%
2022 0.1304 Percentage of built-up area -4.2%

Averages by decade

DecadeAverage LowestHighest Years
2000s 0.091 Percentage of built-up area 0.0415 Percentage of built-up area 0.1198 Percentage of built-up area 10
2010s 0.1329 Percentage of built-up area 0.116 Percentage of built-up area 0.1433 Percentage of built-up area 10
2020s 0.1341 Percentage of built-up area 0.1304 Percentage of built-up area 0.1362 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 Tomakomai?
Coastal flooding - cities and fuas — built-up area exposure to in Tomakomai was 0.1304 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 Tomakomai?
The highest recorded value was 0.1433 Percentage of built-up area in 2013.
What is the lowest coastal flooding - cities and fuas — built-up area exposure to recorded in Tomakomai?
The lowest recorded value was 0.0415 Percentage of built-up area in 2001.
How does Tomakomai rank for coastal flooding - cities and fuas — built-up area exposure to?
Tomakomai ranks 169th out of 1315 regions with data for 2022.
Is coastal flooding - cities and fuas — built-up area exposure to rising or falling in Tomakomai?
Over the last ten years it is up 12.5%. The long-run trend across the full record is rising.
Where does this Tomakomai 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 Tomakomai. 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/tomakomai/

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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