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The Hydrological Areas are a polygon dataset showing 139 hydrological units across England and parts of Wales, that have been defined by the Environment Agency. The units show areas that have broadly similar hydrological characteristics. Many of the hydrological areas are defined by surface water (river) catchments, which are areas of land from which all surface run-off flows through a series of streams, rivers and possibly lakes, to a particular point in the water course such as a river confluence. Other units are defined based on hydrogeological characteristics, where this is more appropriate, such as groundwater recharge areas. Attribution statement: © Environment Agency copyright and/or database right 2015. All rights reserved. © SEPA. Some features of this information are based on digital spatial data licensed from the Centre for Ecology and Hydrology © NERC (CEH). Contains OS data © Crown copyright [and database right]. Derived in part from 1:50,000 scale BGS Digital Data under Licence 2011/051/F. British Geological Survey © UKRI 2021
Administrative boundaries of EA Water Management Areas at 1:10000 scale for England and Wales. These consist of 2 discrete data layers showing: (1) Water Management Areas and (2) Public Face Areas. Both layers are attributed with the name and address for each head office.
This shows the Environment Agency organisation structure at a high level, including some of our management team for national and area teams.
You can also see a map of our operational areas.
We update the organisation chart every few months.
If you need help contacting the right part of the Environment Agency, please get in touch with our general enquiries team:
General enquiries
National Customer Contact Centre
PO Box 544
Rotherham
S60 1BY
Email mailto:enquiries@environment-agency.gov.uk">enquiries@environment-agency.gov.uk
Telephone 03708 506 506
Telephone from outside the UK (Monday to Friday, 8am to 6pm GMT) +44 (0) 114 282 5312
<p class="govuk-body">Monday to Friday, 8am to 6pm.</p>
Flood Risk Areas:This metadata record is for Approval for Access product AfA256. Flood Risk Areas identify locations where there is believed to be significant flood risk. The EU Floods Directive refers to Flood Risk Areas as 'Areas of Potentially Significant Flood Risk' (APSFR). Flood Risk Areas have been defined by the Environment Agency (main rivers and the sea) and Lead Local Flood Authorities (surface water). Other sources of flooding are not covered. This dataset includes Flood Risk Areas defined for both Cycle 1 (December 2011) and Cycle 2 (December 2018). The criteria used to determine significance are explained in supporting guidance document supplied with this data. Flood Risk Areas determine where Flood Hazard and Risk Maps and Flood Risk Management Plans must subsequently be produced to meet obligations under the EU Floods Directive. INFORMATION WARNING Flood Risk Areas are designed to meet the needs of the European Floods Directive. They are designed for broad planning purposes only and are not appropriate for any other type of flood mapping. Other flood mapping is available which is more appropriate to showing localised flood risk.Flood Warning Areas:This record is for Approval for Access product AfA054 Flood Warning Areas. These are geographical areas where we expect flooding to occur and where we provide a Flood Warning Service. They generally contain properties that are expected to flood from rivers or the sea and in some areas, from groundwater. Specifically, Flood Warning Areas define locations within the Flood Warning Service Limit that represent a discrete community at risk of flooding.Flood Warnings are issued when flooding is expected to occur, Severe Flood Warnings are issued to similar areas when there is a danger to life or widespread disruption is expected.INFORMATION WARNING: Groundwater flood warning areas are property based, usually containing a discrete urban area, suburb, city, village, or hamlet and were created in various ways. In general specialists used the national groundwater dataset, historical maps, bedrock geology and records of properties affected by groundwater flooding in the past to create the groundwater flood warning areas. Additional data sources, including groundwater susceptibility maps, borehole data, local modelling and LiDAR may also have been used depending on the location of the area.Flood Warning Areas can be created, amended, or deleted at certain times in the year. This dataset was last updated on:20th November 2024The scheduled updates where changes may be introduced are:21st February 202422nd May 2024 - due to the ongoing flooding, this was postponed until June 5th14th August 2024 and20th November 2024Please note that these dates may change at short notice if there are system issues or a large-scale flood event.Flood Alert Areas:This record is for Approval for Access product AfA055. Flood Alert Areas are geographical areas where it is possible for flooding of low-lying land and roads to occur from rivers, sea and in some locations groundwater. A single Flood Alert Area may cover the floodplain within the Flood Warning Service Limit of multiple catchments of similar characteristics. A Flood Alert Area may contain one or more Flood Warning Areas. In some coastal locations a Flood Alert may be issued for spray or overtopping and be defined by a stretch of coastline.A Flood Alert is issued to warn people of the possibility of flooding and encourage them to be alert, stay vigilant and make early / low impact preparations for flooding. Flood Alerts are issued earlier than Flood Warnings to provide advance notice of the possibility of flooding and may be issued when there is less confidence that flooding will occur in a Food Warning Area. Flood Warnings Areas (established to apply to discrete communities) are available in AfA054.INFORMATION WARNING: The groundwater flood alert areas are either at a community/local scale, or where this is not possible are more generalised and based on other factors, such as geology and counties. In general, specialists used the national groundwater dataset to make a comparison with historical maps and bedrock geology to create the groundwater flood alert areas. Additional data sources, including groundwater susceptibility maps, borehole data, local modelling and LiDAR may also have been used depending on the location of the area.Flood Alert Areas can be created, amended, or deleted at certain times in the year. This dataset was last updated on:November 20th 2024The scheduled updates where changes may be introduced are:21st February 202422nd May 2024 - Due to the ongoing flooding, this was postponed until June 5th14th August 2024 and20th November 2024Please note that these dates may change at short notice if there are system issues or a large-scale flood event.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
EA-MD-QD is a collection of large monthly and quarterly EA and EA member countries datasets for macroeconomic analysis.
The EA member countries covered are: AT, BE, DE, EL, ES, FR, IE, IT, NL, PT.
The formal reference to this dataset is:
Barigozzi, M. and Lissona, C. (2024) "EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research". Zenodo.
Please refer to it when using the data.
Each zip file contains:
- Excel files for the EA and the countries covered, each containing an unbalanced panel of raw de-seasonalized data.
- A Matlab code taking as input the raw data and allowing to perform various operations such as:
choose the frequency, fill-in missing values, transform data to stationarity, and control for covid outliers.
- A pdf file with all informations about the series names, sources, and transformation codes.
This version (06.2025):
Updated data as of 30-June-2025.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
This record is for Approval for Access product AfA054 Flood Warning Areas. These are geographical areas where we expect flooding to occur and where we provide a Flood Warning Service. They generally contain properties that are expected to flood from rivers or the sea and in some areas, from groundwater. Specifically, Flood Warning Areas define locations within the Flood Warning Service Limit that represent a discrete community at risk of flooding.
Flood Warnings are issued when flooding is expected to occur, Severe Flood Warnings are issued to similar areas when there is a danger to life or widespread disruption is expected.
INFORMATION WARNING: Groundwater flood warning areas are property based, usually containing a discrete urban area, suburb, city, village, or hamlet and were created in various ways. In general specialists used the national groundwater dataset, historical maps, bedrock geology and records of properties affected by groundwater flooding in the past to create the groundwater flood warning areas. Additional data sources, including groundwater susceptibility maps, borehole data, local modelling and LiDAR may also have been used depending on the location of the area.
This dataset was last updated on July 9th 2025.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
EA Catchment Abstraction Management Strategy (CAMS) Boundaries are reference boundaries defining areas where technical assesment on future water availability and demand has been undertaken. The technical assessemtn helps identify where water may be available for future use but also where water resource demands may be impacting the water balacence. The CAMS boundaries should be used on a national (England and Wales) scale to show the geographical distribution of CAMS and are not suitable for detailed technical assessments. The boundaries may be subject to change based on the Environment Agency's technical and catchment understanding. The data was created in 2009.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
This record is for Approval for Access product AfA345.
The Environment Agency's (EA) Spatial Flood defences layer is the only comprehensive and up-to-date dataset in England that shows flood defences currently owned, managed or inspected by the EA.
Flood defences can be structures, buildings or parts of buildings. Typically these are earth banks, stone and concrete walls, or sheet-piling that is used to prevent or control the extent of flooding.
A defence is any asset that provides flood defence or coastal protection functions. This includes both man-made and natural defences. Natural defences may include man-made elements to make them more effective or protect them from erosion. Normally a number of assets will be used together to manage the risk in a particular area, working in combination within a risk management system.
PLEASE NOTE: This data is updated daily. This is a large dataset and depending on the chosen download format, it may take 7-8 minutes to download the full national dataset.
Webmap showing the project area for the Sawtooth National Recreation Area Outfitter and Guide Management Plan.
This is a GIS dataset containing spatial objects such as points, lines, and polygons. It is an external third party dataset owned by the Environment Agency Wales and licensed to former Countryside Council for Wales (CCW) for internal use only. The dataset has been supplied by the Environment Agency Wales and contains Local Environment Agency Plans. LEAP's are areas for which the Agency draws up specific action plans. For further information please contact your local Environment Agency Office.
Extra-euro area (EA 19) trade, by product group
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Latvia Money Counterparts: Credit: Euro Area Residents (EA) data was reported at 16,333.900 EUR mn in Oct 2018. This records an increase from the previous number of 16,269.200 EUR mn for Sep 2018. Latvia Money Counterparts: Credit: Euro Area Residents (EA) data is updated monthly, averaging 16,590.200 EUR mn from Jan 2014 (Median) to Oct 2018, with 58 observations. The data reached an all-time high of 18,049.100 EUR mn in Dec 2016 and a record low of 14,479.700 EUR mn in Oct 2014. Latvia Money Counterparts: Credit: Euro Area Residents (EA) data remains active status in CEIC and is reported by Bank of Latvia. The data is categorized under Global Database’s Latvia – Table LV.KA005: Money Counterparts.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Summary Seagrass Potential v3 Summary: A majority of the seagrass potential areas are derived from wave and current energy, elevation and salinity criteria. Some 'Additional' areas have been identified through consultation with local experts. The data also contains a subset of 'preferred' sites. 'Preferred' sites include areas with minimal overlap with pressures and existing activities that may hinder restoration.
Guidance and Limitations:
The Seagrass Potential Area v3 layer provides a national ‘high level’ indication of where intertidal and subtidal seagrass could potentially be restored based on some key physical attributes with a subset of preferred sites identifying areas of minimal overlap with pressures and existing activities that may hinder restoration. It should be considered as an initial aid to identifying sites. The areas identified are based on outputs from large scale models and should not always be assumed to precise at the local level. The location of significant activities (such as dredging) and marine assets (such as submarine cables), which could restrain a location’s potential, have not been factored in in the creation of the overall layer, but have been considered for sites listed in the preferred sites attribute. The presence of such activities and structures should of course be considered at an early stage before making any local selection of suitable sites. It should not be assumed that all the areas identified meet all environmental conditions required to re-establish seagrass habitat or that seagrass beds currently only exist within these areas. Instead it aims to provide an initial attempt to identify potential areas at a national level. Furthermore, it is probable that there are some areas outside the areas identified that could be suitable for restoration. The data is not directly derived from any specific historic records of seagrass, and does not represent the historic extent of seagrass.
Seagrass Potential v3 Description:
Seagrass potential areas were primarily derived from the EMODnet 2016 wave and current energy models. This data was combined with seabed digital elevation models (DEMs sourced from Defra Marine DEM and EMODnet Composite 2018 DTM) and Environment Agency turbidity data to determine potential seagrass habitat areas. Areas of low salinity were also screened out based on Environment Agency salinity monitoring and modelling data. Selection Criteria used habitat preferences for Zostera marina and Z. noltei identified by the Marine Life Information Network (MarLIN) as follows: Wave = Low Energy, <11.41 Nm-2 (mean of annual 90th percentile values over six years); Current = Low Energy, <130 Nm-2, (mean of annual 90th percentile values over six years; Elevation (waterbodies with low turbidity <10mg/l) = Between -10m and +5m above sea level; Elevation (waterbodies with medium and high turbidity >10mg/l) = Between -5m and +5m above sea level; Salinity = >10 (mesohaline, polyhaline).
Further areas were removed, including existing saltmarsh (sourced from EA saltmarsh extent inventory) and small discrete areas <400m2. Small areas were also removed based on expert judgement and their close proximity to major ports. Finally, each polygon was assigned a water body and river basin district based on the WFD cycle2 Transitional and Coastal Water Body layer. The 'preferred sites' attribute identifies a subset of seagrass potential areas where seagrass restoration may be more successful because there are minimal overlapping pressures (such as dredging) or other marine activities that may hinder restoration. The 'additional sites' attribute includes potential sites which have been identified through consultation with local experts but may not sit entirely within the environmental variable criteria described above.
In the fiscal year 2025 (spanning from April 2024 to March 2025), video game publisher Electronic Arts (EA) generated 3.08 billion U.S. dollars of revenue in North America. The majority of company revenue was attributed to international markets.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
The Flood Map for Planning (Rivers and Sea) includes several layers of information. This dataset covers Water Storage Areas. It shows those areas that act as a balancing reservoir, storage basin or balancing pond. Their purpose is to attenuate an incoming flood peak to a flow level that can be accepted by the downstream channel. It may also delay the timing of a flood peak so that its volume is discharged over a longer time interval. We have assumed that water storage areas act perfectly and give the same level of protection as when our assessment of the area was carried out. Water storage areas do not completely remove the chance of flooding and can be overtopped or fail in extreme weather conditions.
This dataset is designed to raise awareness of the likelihood of flooding and to encourage people living and working in areas prone to flooding to find out more and take appropriate action.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Latvia DIA: Stock: EU: Euro Area (EA) data was reported at 1,068.000 EUR mn in Jun 2018. This records a decrease from the previous number of 1,095.000 EUR mn for Mar 2018. Latvia DIA: Stock: EU: Euro Area (EA) data is updated quarterly, averaging 267.630 EUR mn from Mar 2000 (Median) to Jun 2018, with 74 observations. The data reached an all-time high of 1,095.000 EUR mn in Mar 2018 and a record low of 14.340 EUR mn in Dec 2000. Latvia DIA: Stock: EU: Euro Area (EA) data remains active status in CEIC and is reported by Bank of Latvia. The data is categorized under Global Database’s Latvia – Table LV.O004: Direct Investment Abroad: Stock: by Country.
In the fiscal quarter ending March 2023, Electronic Arts reported 700 million players reached by its player network. This is up from 650 million active accounts who had accessed any of the company's various EA gaming franchises as of December 2022.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
EA-MD-QD is a collection of large monthly and quarterly EA and EA member countries datasets for macroeconomic analysis.
The EA member countries covered are: AT, BE, DE, EL, ES, FR, IE, IT, NL, PT.
The formal reference to this dataset is:
Barigozzi, M. and Lissona, C. (2024) "EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research". Zenodo.
Please refer to it when using the data.
Each zip file contains:
- Excel files for the EA and the countries covered, each containing an unbalanced panel of raw de-seasonalized data.
- A Matlab code taking as input the raw data and allowing to perform various operations such as:
choose the frequency, fill-in missing values, transform data to stationarity, and control for covid outliers.
- A pdf file with all informations about the series names, sources, and transformation codes.
This version (07.2024):
Updated data as of 30-July-2024
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Slovakia Bank Deposits: New Business: Euro Area Residents (EA): Overnight data was reported at 36,278,512.000 EUR th in Oct 2018. This records an increase from the previous number of 35,868,122.000 EUR th for Sep 2018. Slovakia Bank Deposits: New Business: Euro Area Residents (EA): Overnight data is updated monthly, averaging 20,709,024.500 EUR th from Jan 2009 (Median) to Oct 2018, with 118 observations. The data reached an all-time high of 36,278,512.000 EUR th in Oct 2018 and a record low of 15,901,453.000 EUR th in Mar 2009. Slovakia Bank Deposits: New Business: Euro Area Residents (EA): Overnight data remains active status in CEIC and is reported by National Bank of Slovakia. The data is categorized under Global Database’s Slovakia – Table SK.KB005: Bank Deposits: ESA 2010.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
The Development Management Procedure Order (2015) requires that the Environment Agency is consulted on developments within Areas with Critical Drainage Problems (ACDPs). This layer displays the geographical coverage of ACDPs across England. ACDPs are currently only located in Devon and Cornwall.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
The Hydrological Areas are a polygon dataset showing 139 hydrological units across England and parts of Wales, that have been defined by the Environment Agency. The units show areas that have broadly similar hydrological characteristics. Many of the hydrological areas are defined by surface water (river) catchments, which are areas of land from which all surface run-off flows through a series of streams, rivers and possibly lakes, to a particular point in the water course such as a river confluence. Other units are defined based on hydrogeological characteristics, where this is more appropriate, such as groundwater recharge areas. Attribution statement: © Environment Agency copyright and/or database right 2015. All rights reserved. © SEPA. Some features of this information are based on digital spatial data licensed from the Centre for Ecology and Hydrology © NERC (CEH). Contains OS data © Crown copyright [and database right]. Derived in part from 1:50,000 scale BGS Digital Data under Licence 2011/051/F. British Geological Survey © UKRI 2021