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:

1. A city – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.
2. 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 definition identifies 1 285 FUAs and 1 402 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

Файл с данными содержит следующие поля:

• Площадь справки (REF_AREA)
• Частота наблюдения (FREQ)
• Измерение (MEASURE)
• Единица измерения (UNIT_MEASURE)
• Период возвращения (RET_PERIOD)
• Порог теплового стресса (HEAT_STRESS)
• Территориальный уровень (TERRITORIAL_LEVEL)
• Состояние наблюдения (OBS_STATUS)
• Множитель единицы измерения (UNIT_MULT)
• Десятичные (DECIMALS)
• Значение наблюдения (OBS_VALUE)
• Период времени (TIME_PERIOD)

Страны и регионы: Австралия, Австрия, Бельгия, Болгария, Канада, Чили, Колумбия, Хорватия, Кипр, Чехия, Дания, Эстония, Финляндия, Франция, Германия, Греция, Венгрия, Исландия, Ирландия, Израиль, Италия, Япония, Республика Корея, Латвия, Литва, Люксембург, Мальта, Мексика, Нидерланды, Новая Зеландия, Норвегия, Польша, Португалия, Румыния, Словакия, Словения, Испания, Швеция, Швейцария, Турция, Великобритания, Соединенные Штаты Америки

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:

1. A city – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.
2. 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 definition identifies 1 285 FUAs and 1 402 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

Countries and regions: Australia, Austria, Belgium, Bulgaria, Canada, Chile, Colombia, Croatia, Cyprus, Czechia, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Israel, Italy, Japan, Korea, Republic of, Latvia, Lithuania, Luxembourg, Malta, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Switzerland, Türkiye, United Kingdom, United States