1.0 DCPLUS 20180427 11403800 20190117 11403800 https://www.arcgis.com/sharing/rest/content/items/5f49d2c5c4b243c2bb30699cf1f05aef/info/thumbnail/ago_downloaded.png https://www.arcgis.com/home/item.html?id=5f49d2c5c4b243c2bb30699cf1f05aef 5f49d2c5c4b243c2bb30699cf1f05aef Feature Service https://services5.arcgis.com/RbjlVNAtGGPx1hPV/arcgis/rest/services/Exeter_Flood_Map/FeatureServer Exeter Flood Map 2018-04-27T11:40:38 2019-01-17T17:16:04 Flood Map CDRC The 2015 Risk of Flooding from Rivers and Sea (RoFRS) is an assessment of flood risk for England produced using local data and expertise. This CDRC 2015 RoFRS Geodata Pack provides a mappable version of this assessment. <p style='margin-top: 0px; margin-bottom: 10px; color: rgb(68, 68, 68); font-family: Verdana, &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size: 14px; background-color: rgb(255, 255, 255);'>The 2015 Risk of Flooding from Rivers and Sea (RoFRS) is an assessment of flood risk for England produced using local data and expertise. This CDRC 2015 RoFRS Geodata Pack provides a mappable version of this assessment for the Local Authority District: Exeter (E07000041)</p><p style='margin-top: 0px; margin-bottom: 10px; color: rgb(68, 68, 68); font-family: Verdana, &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size: 14px; background-color: rgb(255, 255, 255);'> </p><div> <div> <div> <div> <p><span style='font-size: 11.000000pt; font-family: 'Arial''>A spatial dataset (available for download as ESRI Shapefile, Mapinfo TAB and GML files) with the floodplain split into 50m x 50m cells and each allocated one of four flood risk likelihood categories. </span></p> <ul> <li> <p><span style='font-size: 11pt;'>High: each year, there is a chance of flooding of greater than 1 in 30 (3.3%). </span></p> </li> <li> <p><span style='font-size: 11pt;'>Medium: each year, there is a chance of flooding of between 1 in 30 (3.3%) and 1 in 100 (1%). </span></p> </li> <li> <p><span style='font-size: 11pt;'>Low: each year, there is a chance of flooding of between 1 in 100 (1%) and 1 in 1000 (0.1%). </span></p> </li> <li> <p><span style='font-size: 11pt;'>Very Low: each year, there is a chance of flooding of less than 1 in 1000 (0.1%).<br /> Cells where the likelihood of flooding is greater than or equal to 1 in 75 (1.3%) each year are identified. </span></p> <p><span style='font-size: 11pt;'>Each cell has a suitability rating to show at what scale it is generally appropriate to use the data to assess flood risk, and how suitable the data is for a range of different uses. </span></p></li></ul></div></div></div></div><ul><li><p style='margin-top: 0px; margin-bottom: 10px;'>Contents</p><ul><li>E07000041<em>Exeter</em>catchment (.shp,.prj,.dbf,.shx): Shapefile, showing the chance of flooding from rivers and/or the sea, based on cells of 50m.</li><li>E07000041<em>Exeter</em>postcode (.shp,.prj,.dbf,.shx): Shapefile, showing risk of flooding from rivers and sea - postcodes in areas at risk.</li></ul></li></ul> attribution statement: CDRC 2015 RoFRS Geodata Pack by the ESRC Consumer Data Research Centre; Contains National Statistics data Crown copyright and database right 2015; Contains Environmental Agency data copyright 2015 (under Open Government Licence) -3.5713188852414937 -3.451362348303328 50.762201456725336 50.67343853145486 1 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 5f49d2c5c4b243c2bb30699cf1f05aef https://services5.arcgis.com/RbjlVNAtGGPx1hPV/arcgis/rest/services/Exeter_Flood_Map/FeatureServer Feature Service