Reference metadata describe statistical concepts and methodologies used for the collection and generation of data. They provide information on data quality and, since they are strongly content-oriented, assist users in interpreting the data. Reference metadata, unlike structural metadata, can be decoupled from the data.
Data on the risk of soil erosion are published under agreement with the data provider - Joint Research Centre of the European Commission (JRC – Ispra), one of the partners of the Memorandum of Understanding for cooperation on the development of Agri-environmental indicators.
Soil erosion by water is one of the most widespread forms of soil degradation in Europe. Since it is difficult to measure at large scales, soil erosion models are a crucial estimation tool at regional, national and European levels.
This dataset presents the soil erosion rates by water estimated on the basis of the Revised Universal Soil Loss Equation (RUSLE) empirical computer model in tonnes per ha per year, in the EU-27 Member States.
The areas affected are expressed in km2 and as a percentage of the total non-artificial, erodible area in the country.
The soil erosion risk levels are classified in two size categories:
Severe risk (> 10 tonnes per hectare per year)
Zero Severe risk. Soil erosion may still be occurring in these areas, but at an yearly rate of less than 10 tonnes per hectare.
Note that Eurostat is not the producer of these data, but only re-publishes them. For more information please consult the Eurostat Statistics Explained article Agri-environmental indicator – Soil erosion.
3.2. Classification system
Not applicable
3.3. Coverage - sector
The coverage area of the indicator refers to several classes of the CORINE Land Cover (CLC) nomenclature. Artificial, sandy, rocky and icy surfaces as well as wetlands and water bodies are not included in the area on which the indicator is based.
The following classes are included: 2 Agricultural areas 2.1 Arable land 2.2 Permanent crops 2.3 Pastures 2.4 Heterogeneous agricultural areas 3 Forest and semi natural areas 3.1 Forests 3.2 Scrub and/or herbaceous vegetation associations 3.3 Open spaces with little or no vegetation, but only the following subcategories: 3.3.3 Sparsely vegetated areas 3.3.4 Burnt areas
The following classes are excluded: 1 Artificial surfaces 3 Forest and semi natural areas, but only the following subcategories: 3.3 Open spaces with little or no vegetation 3.3.1 Beaches, dunes, sand plains 3.3.2 Bare rocks 3.3.5 Glaciers and perpetual snow 4 Wetlands 5 Water bodies
This dataset contains a differentiation in the following four CORINE Land Cover classification groups:
CLC2_3X331_332_335: Agricultural areas (2), forest and semi natural areas (3) excluding beaches, dunes, sand plains (3.3.1), bare rock (3.3.2), glaciers and perpetual snow (3.3.5)
Refers to all potentially erosive-prone land (in simplified terms)
CLC2_321: Agricultural areas and natural grassland
Refers only to agricultural land (agricultural cropland as well as grassland in simplified terms)
CLC2X23: Agricultural areas (2) excluding pastures (23)
Refers only to agricultural cropland (in simplified terms)
CLC23_321: Pastures (23) and natural grassland (321)
Refers only to agricultural grassland (in simplified terms)
3.4. Statistical concepts and definitions
Soil erosion by water is understood as the removal of soil by rain fall and can take different forms: rain splash, sheet erosion (uniform removal of a thin layer of soil), rill erosion (formation of small channels) or gully erosion (development of larger, permanent channels). Soil erosion by water occurs mainly in areas with a high rainfall intensity, steep topography and limited land cover. Among the main consequences are a loss of cultivable, fertile soil, the pollution of surface water and possibly a destruction of infrastructure. A loss of soil is irreversible.
The main factors affecting the rates of soil erosion by water are precipitation, soil type, topography, land use and land management. The most commonly used erosion model at a regional scale is the Revised Universal Soil Loss Equation (RUSLE). It estimates erosion by means of an empirical equation including six main factors:
Er = R K L S C P
R = rainfall erosivity factor (MJ mm ha-1h-1 yr-1)
K = soil erodibility factor (t ha h ha-1 MJ-1 mm-1)
L = slope length factor (dimensionless)
S = slope steepness factor (dimensionless)
C = land cover and management factor (dimensionless)
P = human practices aimed at erosion control (dimensionless)
The best available pan-European databases have been introduced for all input layers:
Eurostat statistical data on crops, tillage practices, plant residues and cover crops updated with 2023 EU Farm Structure Survey;
Stoniness effect taking into account the LUCAS topsoil survey;
Rainfall Erosivity Database at European Scale (REDES);
Copernicus remote sensing datasets on vegetation density;
Digital Elevation Model (DEM) at 25 m resolution;
CORINE Land Cover 2018 and 2012
Good Agricultural and Environmental Conditions (GAEC) database;
LUCAS 2012 earth observations on stone walls and grass margins.
The smallest regional entity presented in this dataset is NUTS 3 regions of EU territory. 2023 data are only available at NUTS 0 level for now.
3.6. Statistical population
Areas of the EU territory that refer to specific classes of the CORINE Land Cover (CLC) nomenclature (see 3.3). Generally, artificial, sandy, rocky and icy surfaces as well as wetlands and water bodies are not included in the area on which the indicator is based.
3.7. Reference area
EU Member States
Data are not available for the following NUTS2 and NUTS3 oversea regions:
NUTS 2 code
Region
ES64
Ciudad Autónoma de Melilla
ES70
Canarias
FRY1
Guadeloupe
FRY2
Martinique
FRY3
Guyane
FRY4
La Réunion
FRY5
Mayotte
PT20
Região Autónoma dos Açores
PT30
Região Autónoma da Madeira
NUTS3 code
Region
ES640
Mellila
ES703
El Hierro
ES704
Fuerteventura
ES705
Gran Canaria
ES706
La Gomera
ES707
La Palma
ES708
Lanzarote
ES709
Tenerife
FRY10
Guadeloupe
FRY20
Martinique
FRY30
Guyane
FRY40
La Réunion
FRY50
Mayotte
PT200
Região Autónoma dos Açores
PT300
Região Autónoma da Madeira
3.8. Coverage - Time
2000, 2010, 2016 and 2023
3.9. Base period
Not applicable.
Soil erosion rates are estimated on the basis of an empirical computer model in tonnes per ha of EU territory per year.
The dataset presents the following units:
Tonnes (T)
Tonnes per hectare (T_HA)
Hectare (HA)
Square kilometres (KM2)
Percentages (PC); the percentages express the share of a land cover class with a certain soil erosion rate in relation to the total area of the corresponding land cover class (see 3.3 for CLC classes)
Calendar year
6.1. Institutional Mandate - legal acts and other agreements
Soil erosion is one of the 28 indicators developed on the basis of the Commission Communication COM (2006) 508 - Development of agri-environmental indicators for monitoring the integration of environmental concerns into the common agricultural policy.
Soil erosion by water is also one of the impact indicators for Performance Monitoring and Evaluation Framework (PMEF) for measuring the performance of the Common Agricultural Policy (CAP) based on Regulation (EU) 2021/2115 of the European Parliament and of the Council on establishing rules on support for strategic plans to be drawn up by Member States under the common agricultural policy (CAP Strategic Plans) and financed by the European Agricultural Guarantee Fund (EAGF) and by the European Agricultural Fund for Rural Development (EAFRD).
6.2. Institutional Mandate - data sharing
Data are modelled by the Joint Research Centre (JRC) and re-published by Eurostat.
Regulation (EC) No 223/2009 on European statistics (recital 24 and Article 20(4)) of 11 March 2009 (OJ L 87, p. 164), stipulates the need to establish common principles and guidelines ensuring the confidentiality of data used for the production of European statistics and the access to those confidential data with due account for technical developments and the requirements of users in a democratic society.
7.2. Confidentiality - data treatment
Only non-confidential data are published.
8.1. Release calendar
Data are disseminated as soon as they are available.
8.2. Release calendar access
Not applicable
8.3. Release policy - user access
In line with the Community legal framework and the European Statistics Code of Practice Eurostat disseminates European statistics on Eurostat's website (see item 10 - 'Accessibility and clarity') respecting professional independence and in an objective, professional and transparent manner in which all users are treated equitably. The detailed arrangements are governed by the Eurostat protocol on impartial access to Eurostat data for users.
On a non-regular basis, as soon as new data become available. Usually, new data points are disseminated within 3 years after the reference year.
Validation of scientific methodology (see documentation of methodology).
Validation of individual input layers in peer review publications.
11.2. Quality management - assessment
See 11.1.
12.1. Relevance - User Needs
Regional to European policy makers, land use planners, scientists.
Data on soil erosion by water is used to monitor the achievement of the European Commission’s objective of building a competitive and resilient agriculture and food system and of safeguarding biodiversity, embedded in its priorities under 'Sustaining our quality of life: food security, water and nature'.
The Soil Strategy for 2030 recognises erosion as a threat to soil in the EU. Europe’s Common Agricultural Policy sets requirements to protect utilised agricultural areas against erosion and establishes a framework of standards that aim, among others, to contribute to preventing soil erosion.
All reported errors (once validated) result in corrections of the disseminated data.
Reported errors that are deemed to be significant are corrected in the disseminated data as soon as the correct data have been validated.
Data may be published even if they are missing for certain countries or flagged as provisional or of low reliability for certain countries. They are replaced with final data once transmitted and validated. European aggregates are updated for consistency with new country data.
Whenever new data are provided and validated, the already disseminated data are updated with next regular production cycle, together with the European aggregates. Data are usually revised for the last 5 periods. Aggregates and components are revised at the same time.
18.1. Source data
2023 EU Farm Structure Survey data on tillage practices, cover crops and plant residues
LUCAS Topsoil 2009;
European Soil Database (ESDB);
Rainfall Erosivity Database at European Scale (REDES);
CORINE Land Cover 2018 and 2012;
COPERNICUS Remote Sensing data;
Eurostat Crop Statistics;
LUCAS Earth Observations 2015;
Good Agricultural Environmental Conditions (GAEC) (2010);
Data on the risk of soil erosion are published under agreement with the data provider - Joint Research Centre of the European Commission (JRC – Ispra), one of the partners of the Memorandum of Understanding for cooperation on the development of Agri-environmental indicators.
Soil erosion by water is one of the most widespread forms of soil degradation in Europe. Since it is difficult to measure at large scales, soil erosion models are a crucial estimation tool at regional, national and European levels.
This dataset presents the soil erosion rates by water estimated on the basis of the Revised Universal Soil Loss Equation (RUSLE) empirical computer model in tonnes per ha per year, in the EU-27 Member States.
The areas affected are expressed in km2 and as a percentage of the total non-artificial, erodible area in the country.
The soil erosion risk levels are classified in two size categories:
Severe risk (> 10 tonnes per hectare per year)
Zero Severe risk. Soil erosion may still be occurring in these areas, but at an yearly rate of less than 10 tonnes per hectare.
Note that Eurostat is not the producer of these data, but only re-publishes them. For more information please consult the Eurostat Statistics Explained article Agri-environmental indicator – Soil erosion.
30 October 2026
Soil erosion by water is understood as the removal of soil by rain fall and can take different forms: rain splash, sheet erosion (uniform removal of a thin layer of soil), rill erosion (formation of small channels) or gully erosion (development of larger, permanent channels). Soil erosion by water occurs mainly in areas with a high rainfall intensity, steep topography and limited land cover. Among the main consequences are a loss of cultivable, fertile soil, the pollution of surface water and possibly a destruction of infrastructure. A loss of soil is irreversible.
The main factors affecting the rates of soil erosion by water are precipitation, soil type, topography, land use and land management. The most commonly used erosion model at a regional scale is the Revised Universal Soil Loss Equation (RUSLE). It estimates erosion by means of an empirical equation including six main factors:
Er = R K L S C P
R = rainfall erosivity factor (MJ mm ha-1h-1 yr-1)
K = soil erodibility factor (t ha h ha-1 MJ-1 mm-1)
L = slope length factor (dimensionless)
S = slope steepness factor (dimensionless)
C = land cover and management factor (dimensionless)
P = human practices aimed at erosion control (dimensionless)
The best available pan-European databases have been introduced for all input layers:
Eurostat statistical data on crops, tillage practices, plant residues and cover crops updated with 2023 EU Farm Structure Survey;
Stoniness effect taking into account the LUCAS topsoil survey;
Rainfall Erosivity Database at European Scale (REDES);
Copernicus remote sensing datasets on vegetation density;
Digital Elevation Model (DEM) at 25 m resolution;
CORINE Land Cover 2018 and 2012
Good Agricultural and Environmental Conditions (GAEC) database;
LUCAS 2012 earth observations on stone walls and grass margins.
The smallest regional entity presented in this dataset is NUTS 3 regions of EU territory. 2023 data are only available at NUTS 0 level for now.
Areas of the EU territory that refer to specific classes of the CORINE Land Cover (CLC) nomenclature (see 3.3). Generally, artificial, sandy, rocky and icy surfaces as well as wetlands and water bodies are not included in the area on which the indicator is based.
EU Member States
Data are not available for the following NUTS2 and NUTS3 oversea regions:
Soil erosion rates are estimated on the basis of an empirical computer model in tonnes per ha of EU territory per year.
The dataset presents the following units:
Tonnes (T)
Tonnes per hectare (T_HA)
Hectare (HA)
Square kilometres (KM2)
Percentages (PC); the percentages express the share of a land cover class with a certain soil erosion rate in relation to the total area of the corresponding land cover class (see 3.3 for CLC classes)
The values of the following units were provided by the Joint Research Centre (JRC):
ha
t/ha
The values of the following units were computed by Eurostat based on the provided values of the JRC:
t
%
km²
2023 EU Farm Structure Survey data on tillage practices, cover crops and plant residues
LUCAS Topsoil 2009;
European Soil Database (ESDB);
Rainfall Erosivity Database at European Scale (REDES);
CORINE Land Cover 2018 and 2012;
COPERNICUS Remote Sensing data;
Eurostat Crop Statistics;
LUCAS Earth Observations 2015;
Good Agricultural Environmental Conditions (GAEC) (2010);
Digital Elevation Model (DEM) 25m
On a non-regular basis, as soon as new data become available. Usually, new data points are disseminated within 3 years after the reference year.
Joint Research Centre (JRC) publishes data on a non-regular basis.
Usually, new data points are disseminated within 3 years after the reference year.
Comparability across countries is considered good.