This data services are provided ‘as is’ to users without warranty of any kind, either express or implied, including quality and suitability for any purpose.
Please visit EEA official website for more data and more information regarding environmental topics. Close
Map Service Directory
View Urban_Vulnerability in ArcGIS Services Directory
Synthetic index (0-100) based on survey replies: City is committed to fight climate change, 2009 (MapServer)
Title city_committed_to_fight_CC_2009_status
Author
Subject The map presents the synthetic index (0-100) of survey replies for 2009 concerning the respective city´s effort to engage climate change
Keywords city,climate change
Copyright Text EEA
Registered first time 17 Oct 2016
Service Description

The map shows citizen perception of the city efforts to engage climate change. The data are based on interviews of randomly selected citizens implemented within the framework of the perception survey on the quality of life in European cities. The data are based on surveys/interviews of randomly selected citizens.

The information is provided as a synthetic index. From the perception survey data, an index was calculated by subtracting the negative answers from the positive ones, and dividing the result by the total number of answers (very much agreeand quite agreeare counted as positive answers, whereas very much disagreeand quite disagree’ are negative answers). This initial index has a minimum of −1 and a maximum of + 1. To make it easier to use, the index was then multiplied by 50, and 50 was then added to the result. The resulting index covers values between 0 and 100. A value above 50 means positive answers predominate; below 50, there are more negative answers.

Description
SRS 102100
Extent -1019415.1387,4182973.6062,3715702.893,9617743.3531
Layers Synthetic Index (0-100) based on survey replies: City is committed to fight climate change, 2009
Map Name Layers
Category
Synthetic index (0-100) based on survey replies: City is committed to fight climate change, 2012 (MapServer)
Title city_committed_to_fight_CC_2012_status
Author
Subject The map presents the synthetic index (0-100) of survey replies for 2012 concerning the respective city´s effort to engage climate change
Keywords city,climate change
Copyright Text EEA
Registered first time 17 Oct 2016
Service Description

The map shows citizen perception of the city efforts to engage climate change. The data are based on interviews of randomly selected citizens implemented within the framework of the perception survey on the quality of life in European cities. The data are based on surveys/interviews of randomly selected citizens.

The information is provided as a synthetic index. From the perception survey data, an index was calculated by subtracting the negative answers from the positive ones, and dividing the result by the total number of answers (very much agreeand quite agreeare counted as positive answers, whereas very much disagreeand quite disagree’ are negative answers). This initial index has a minimum of −1 and a maximum of + 1. To make it easier to use, the index was then multiplied by 50, and 50 was then added to the result. The resulting index covers values between 0 and 100. A value above 50 means positive answers predominate; below 50, there are more negative answers.

Description
SRS 102100
Extent -2412697.1213,4182973.6062,3715702.893,9617743.3531
Layers Synthetic Index (0-100) based on survey replies: City is committed to fight climate change, 2012
Map Name Layers
Category
Synthetic index (0-100) based on survey replies: City is committed to fight climate change, 2015 (MapServer)
Title city_committed_to_fight_CC_2015_status
Author
Subject The map presents the synthetic index (0-100) of survey replies for 2015 concerning the respective city´s effort to engage climate change
Keywords city,climate change
Copyright Text EEA
Registered first time 17 Oct 2016
Service Description

The map shows citizen perception of the city efforts to engage climate change. The data are based on interviews of randomly selected citizens implemented within the framework of the perception survey on the quality of life in European cities. The data are based on surveys/interviews of randomly selected citizens.

The information is provided as a synthetic index. From the perception survey data, an index was calculated by subtracting the negative answers from the positive ones, and dividing the result by the total number of answers (very much agreeand quite agreeare counted as positive answers, whereas very much disagreeand quite disagree’ are negative answers). This initial index has a minimum of −1 and a maximum of + 1. To make it easier to use, the index was then multiplied by 50, and 50 was then added to the result. The resulting index covers values between 0 and 100. A value above 50 means positive answers predominate; below 50, there are more negative answers.

Description
SRS 102100
Extent -2412697.1213,4182973.6062,3715702.893,9617743.3531
Layers Synthetic Index (0-100) based on survey replies: City is committed to fight climate change, 2015
Map Name Layers
Category
Trends in synthetic index based on survey replies: City is committed to fight climate change, 2009-2012 [%] (MapServer)
Title city_committed_to_fight_CC_CHANGE_0912
Author
Subject The map presents trends in the synthetic index (0-100) of survey replies for the period of 2009 – 2012 concerning the respective city´s effort to engage climate change
Keywords city,climate change
Copyright Text EEA
Registered first time 17 Oct 2016
Service Description

The map shows trends in citizen perception of the citys efforts to engage climate change for the period of 2009-2012. Data is represented as percentage change in reference to 2009.

The data are based on interviews of randomly selected citizens implemented within the framework of the perception survey on the quality of life in European cities. The data are based on surveys/interviews of randomly selected citizens.

The information is provided as a synthetic index. From the perception survey data, an index was calculated by subtracting the negative answers from the positive ones, and dividing the result by the total number of answers (very much agree and quite agree are counted as positive answers, whereas very much disagree and quite disagree are negative answers). This initial index has a minimum of − 1 and a maximum of + 1. To make it easier to use, the index was then multiplied by 50, and 50 was then added to the result. The resulting index covers values between 0 and 100. A value above 50 means positive answers predominate; below 50, there are more negative answers.

Description
SRS 102100
Extent -937412.470800001,4182973.6062,3715702.893,9617743.3531
Layers Trends in synthetic index based on survey replies: City is committed to fight climate change, 2009-2012
Map Name Layers
Category
Trends in synthetic index based on survey replies: City is committed to fight climate change, 2012-2015 [%] (MapServer)
Title city_committed_to_fight_CC_CHANGE_1215
Author
Subject The map presents trends in the synthetic index (0-100) of survey replies for the period of 2012 – 2015 concerning the respective city´s effort to engage climate change
Keywords city,climate change
Copyright Text EEA
Registered first time 17 Oct 2016
Service Description

The map shows trends in citizen perception of the citys efforts to engage climate change for the period of 2012-2015.

Data is represented as percentage change in reference to 2012.

The data are based on interviews of randomly selected citizens implemented within the framework of the perception survey on the quality of life in European cities. The data are based on surveys/interviews of randomly selected citizens.

The information is provided as a synthetic index. From the perception survey data, an index was calculated by subtracting the negative answers from the positive ones, and dividing the result by the total number of answers (very much agree and quite agree are counted as positive answers, whereas very much disagree and quite disagree’ are negative answers). This initial index has a minimum of − 1 and a maximum of + 1. To make it easier to use, the index was then multiplied by 50, and 50 was then added to the result. The resulting index covers values between 0 and 100. A value above 50 means positive answers predominate; below 50, there are more negative answers.

<
Description
SRS 102100
Extent -2412697.1213,4182973.6062,3715702.893,9617743.3531
Layers Trends in synthetic index based on survey replies: City is committed to fight climate change, 2012-2015
Map Name Layers
Category
Gross domestic product at current market prices by NUTS3 regions for period between first and last available reference year [mil. €] (MapServer)
Title economy_GDP_changes
Author
Subject Gross domestic product at current market prices by NUTS3 regions for period between first and last available reference year [mil. €]
Keywords city,climate change,GDP
Copyright Text EEA
Registered first time 17 Oct 2016
Service Description

The map shows the normalised trend for gross domestic product at current market prices by NUTS3 regions for the period between the first and last available year. The GDP is the most widely used measure for the overall size of an economy. The dataset only includes NUTS3 regions which intersect with urban audit cities. More accurately, the indicator is calculated by dividing the total difference between the first and last available year by the count of years between the first and last available year. The approach to take an average change for varying reference years rather than taking fixed periods was selected to increase coverage.

Description
SRS 102100
Extent -3480828.5078,3215512.4371,3850357.9547,11170705.8331
Layers Gross domestic product at current market prices by NUTS3 regions for period between first and last available reference year [mil. €]
Map Name Gross domestic product at current market prices by NUTS3 regions for period between first and last a
Category
City location (MapServer)
Title economy_GDP_cities_changes
Author
Subject City location
Keywords city,climate change
Copyright Text EEA
Registered first time 22 Nov 2016
Service Description

City location - center point

Description
SRS 102100
Extent -3480828.5078,3215512.4371,3850357.9547,11170705.8331
Layers economy_changes_cities,Gross domestic product at current market prices by NUTS3 regions for period between first and last available reference year [mil. €]
Map Name Gross domestic product at current market prices by NUTS3 regions for period between first and last a
Category
City location (MapServer)
Title economy_GDP_cities_status
Author
Subject City location
Keywords city,climate change,status
Copyright Text EEA
Registered first time 22 Nov 2016
Service Description

City location - center points

Description
SRS 102100
Extent -3480828.5078,3215512.4371,3850357.9547,11170705.8331
Layers economy_most_recent_cities,GDP by NUTS3 for latest available reference year
Map Name GDP by NUTS3 for latest available reference year
Category
Gross domestic product at current market prices by NUTS3 regions for latest available reference year [mil. €] (MapServer)
Title economy_GDP_status
Author
Subject Gross domestic product at current market prices by NUTS3 regions [mil. €]
Keywords city,climate change,GDP
Copyright Text EEA
Registered first time 17 Oct 2016
Service Description

The map shows gross domestic product (GDP) at current market prices by NUTS3 regions [mil. €] for latest available reference year [%]. The GDP is the most widely used measure for the overall size of an economy. The dataset only includes NUTS3 regions which intersect with urban audit cities. Due to differences in the availability of reference years, the indicator represents the value for the most recent available year. This allows to maximize coverage.

Description
SRS 102100
Extent -3480828.5078,3215512.4371,3850357.9547,11170705.8331
Layers GDP by NUTS3 for latest available reference year
Map Name GDP by NUTS3 for latest available reference year
Category
City location (MapServer)
Title economy_most_recent_cities_changes
Author
Subject City location
Keywords city,climate change,recent
Copyright Text EEA
Registered first time 17 Oct 2016
Service Description

City location - center point

Description
SRS 102100
Extent -2864105.9498,3260453.2999,3715702.893,10952085.098
Layers economy_changes_cities
Map Name economy_changes_cities
Category
City location (MapServer)
Title economy_most_recent_cities_status
Author
Subject City location
Keywords city,climate change,recent,status
Copyright Text EEA
Registered first time 17 Oct 2016
Service Description

City location - center points

Description
SRS 102100
Extent -2864105.9498,3260453.2999,3715702.893,10952085.098
Layers economy_most_recent_cities
Map Name economy_most_recent_cities
Category
Proportion of working age population qualified at level 5 or 6 ISCED [%], normalised trend for period between first and last available reference year. (MapServer)
Title education_changes
Author
Subject Proportion of working age population qualified at level 5 or 6 ISCED [%], normalised trend for period between first and last available reference year.
Keywords city,climate change
Copyright Text EEA
Registered first time 17 Oct 2016
Service Description

The map shows the normalised trend in share of population aged 15 to 64, qualified at tertiary level (ISCED 5-6), living in cities, represented in [%] of the total population for the period between the first and last available year. More accurately, the indicator is calculated by dividing the total difference between the first and last available year by the count of years between the first and last available year. The approach to take an average change for varying reference years rather than taking fixed periods was selected to increase coverage.

In addition to individual levels and peoples abilities to take up knowledge, the indicator can also serve as a proxy showing the abundance of universities and other higher education institutions that create new knowledge, transfer knowledge and foster innovation, also relevant for adaptation in general and for the city.

Description
SRS 102100
Extent -6794650.9515,-2384711.8986,6178462.6713,10952085.098
Layers Proportion of working age population qualified at level 5 or 6 ISCED [%], Normalised trend for period of first and last available reference year.
Map Name education_changes
Category
Proportion of working age population qualified at level 5 or 6 ISCED for latest reference year [%] (MapServer)
Title education_status
Author
Subject The share of population aged 15 to 64, qualified at tertiary level (ISCED 5-6), living in cities, represented in [%] of the total population.
Keywords city,climate change,population
Copyright Text EEA
Registered first time 17 Oct 2016
Service Description

The map shows the share of population aged 15 to 64, qualified at tertiary level (ISCED 5-6), living in cities, represented in [%] of the total population. Due to differences in the availability of reference years, the indicator represents the value for the most recent available year. This allows to maximize coverage. In addition to individual levels and peoples abilities to take up knowledge, the indicator can also serve as a proxy showing the abundance of universities and other higher education institutions that create new knowledge, transfer knowledge and foster innovation, also relevant for adaptation in general and for the city.

Description
SRS 102100
Extent -6794650.9515,-2384711.8986,6178462.6713,10952085.098
Layers Proportion of working age population qualified at level 5 or 6 ISCED for latest available reference year [%]
Map Name education_status
Category
Proportion of population aged 64 [%], normalised trend for period between first and last available reference year. (MapServer)
Title elderly_people_changes
Author
Subject Proportion of population aged 64 [%], normalised trend for period between first and last available reference year.
Keywords city,climate change,population
Copyright Text EEA
Registered first time 17 Oct 2016
Service Description

The map shows the normalised trend in share of population aged 15 to 64, qualified at tertiary level (ISCED 5-6), living in cities, represented in [%] of the total population for the period between the first and last available year. More accurately, the indicator is calculated by dividing the total difference between the first and last available year by the count of years between the first and last available year. The approach to take an average change for varying reference years rather than taking fixed periods was selected to increase coverage.

On average, older people are more sensitive to health risks posed by heat waves, for instance, or air pollution due to forest fires, than younger people. Also, they tend to be more stressed and less mobile in the event of disasters like flooding, forest fires or water scarcity. A higher percentage of elderly people in a city indicates a higher sensitivity of that city to climatic threats. Overall, the group of over 65s constituted about 17.5 % of the total population of Europe in 2011, but this share is expected to rise to 29.5 % by 2060. At the city level, some cities in northern Italy (Turin, Milan and Genoa) have high values, above 23 %; other major European cities start at a lower value, but have higher growth rates for elderly populations. Cities in northern Italy tend to have values above the country average. At the other end of the spectrum are cities in Bulgaria, France, Romania, southern Spain and the United Kingdom, where the share of elderly people tends to be lower than in suburban and rural areas.

Effective adaptation measures for reducing the actual impacts on elderly people include putting special registers and services in place to take extra and targeted care of this group

Description
SRS 102100
Extent -6794650.9515,-2384711.8986,6178462.6713,10952085.098
Layers Proportion of population aged 64 and over. Normalised trend for period of first and last available year.
Map Name Elderly people changes
Category
Proportion of population aged 64 and over for latest available reference year [%] (MapServer)
Title elderly_people_status
Author
Subject Proportion of population aged 64 and over for latest available reference year [%]
Keywords city,climate change,population
Copyright Text EEA
Registered first time 17 Oct 2016
Service Description

The map shows the share of population aged 64 and over for latest available year [%]. Due to differences in the availability of reference years, the indicator represents the value for the most recent available year. This allows to maximize coverage.

On average, older people are more sensitive to health risks posed by heat waves, for instance, or air pollution due to forest fires, than younger people. Also, they tend to be more stressed and less mobile in the event of disasters like flooding, forest fires or water scarcity. A higher percentage of elderly people in a city indicates a higher sensitivity of that city to climatic threats. Overall, the group of over 65s constituted about 17.5 % of the total population of Europe in 2011, but this share is expected to rise to 29.5 % by 2060. At the city level, some cities in northern Italy (Turin, Milan and Genoa) have high values, above 23 %; other major European cities start at a lower value, but have higher growth rates for elderly populations. Cities in northern Italy tend to have values above the country average. At the other end of the spectrum are cities in Bulgaria, France, Romania, southern Spain and the United Kingdom, where the share of elderly people tends to be lower than in suburban and rural areas.

Effective adaptation measures for reducing the actual impacts on elderly people include putting special registers and services in place to take extra and targeted care of this group in the event of extreme situations.

.

Description
SRS 102100
Extent -6794650.9515,-2384711.8986,6178462.6713,10952085.098
Layers Proportion of population aged 64 and over for latest available reference year
Map Name Elderly people
Category
Changes of green urban areas inside UMZ in core city [%] between 2006 and 2012 (MapServer)
Title green_urban_areas_changes
Author
Subject The map presents the synthetic index (0-100) of survey replies for 2009 concerning the respective city´s effort to engage climate change
Keywords city,climate change,urban green
Copyright Text EEA
Registered first time 17 Oct 2016
Service Description

The map shows the changes of degree of green urban areas inside the urban morphological zones (UMZ) inside the core city (cc) between 2006 and 2012 in percent.

Green urban areas are extracted from the Urban Atlas product (reference year2012) for the core city UMZ. Following urban atlas classes were used for the calculation of green urban areas:

  • Discontinuous Low Density Urban Fabric (S.L. : 10% - 30%)

  • Discontinuous Very Low Density Urban Fabric (S.L. < 10%)

  • Green urban areas

  • Sports and leisure facilities

  • Arable land (annual crops

  • Permanent crops (vineyards, fruit trees, olive groves)

  • Pastures

  • Complex and mixed cultivation patterns

  • Orchards

  • Forests

  • Herbaceous vegetation associations (natural grassland, moors…)

  • Open spaces with little or no

Description
SRS 102100
Extent -1724201.54413616,3232574.29878811,3715702.8929677,9617743.35308346
Layers green_area_inside_UMZ_inside_core_city_changes
Map Name green area changes
Category
Green urban areas inside UMZ in core city [%] for the year 2012 (MapServer)
Title green_urban_areas_status
Author
Subject The map presents urban green areas for 2012 in European cities (UMZ inside core city)
Keywords city,climate change,urban green
Copyright Text EEA
Registered first time 17 Oct 2016
Service Description

The map shows the degree of green urban areas inside the urban morphological zones (UMZ) inside the core city (cc) for the year 2012 in percent.

Green urban areas are extracted from the Urban Atlas product (reference year2012) for the core city UMZ. Following urban atlas classes were used for the calculation of green urban areas:

  • Discontinuous Low Density Urban Fabric (S.L. : 10% - 30%)

  • Discontinuous Very Low Density Urban Fabric (S.L. < 10%)

  • Green urban areas

  • Sports and leisure facilities

  • Arable land (annual crops

  • Permanent crops (vineyards, fruit trees, olive groves)

  • Pastures

  • Complex and mixed cultivation patterns

  • Orchards

  • Forests

  • Herbaceous vegetation associations (natural grassland, moors…)

  • Open spaces with little or no vegetations

Description
SRS 102100
Extent -1724201.54413616,3232574.29878811,3715702.8929677,9617743.35308346
Layers green_area_inside_UMZ_inside_core_city
Map Name green areas
Category
Imperviousness degree 2012 [%] inside UMZ in core city (MapServer)
Title Imperviousness_degree_2012_inside_UMZ_core_city
Author Manuel Löhnertz
Subject The map presents the soil sealing degree (%) for the year 2012 in European cities. (UMZ inside the core city)
Keywords city,environment indicator,imperviousness
Copyright Text EEA
Registered first time 17 Oct 2016
Service Description
Maps shows the degree of sealed surfaces inside the urban morphological zones (UMZ) inside the core city (cc) in the year 2012 in percent. Degree of sealed surfaces: can be most easily calculated via the Normalized Difference Vegetation Index (NDVI) from satellite images. In the frame of GMES (Copernicus) precursor activities, the high-resolution soil sealing layer for the whole of Europe for the year 2006 (based on the same satellite pictures as used for CORINE land cover data) and the ‘imperviousness 2009’ data were produced under the FP7 Geoland2 project. Both status layers as well as the change layer are now distributed by the EEA and are available for download via the Copernicus Land Monitoring Services portal. The UMZ as a reference unit for city morphology (as the best approximation of the ‘real’ city form, which often does not correspond to the administrative delineation) is available from the EEA data service.
Description
Maps shows the changes of degree of sealed surfaces inside the urban morphological zones (UMZ) inside the core city (cc) between 2006 and 2012 in percent. Degree of sealed surfaces: can be most easily calculated via the Normalized Difference Vegetation Index (NDVI) from satellite images. In the frame of GMES (Copernicus) precursor activities, the high-resolution soil sealing layer for the whole of Europe for the year 2006 (based on the same satellite pictures as used for CORINE land cover data) and the ‘imperviousness 2009’ data were produced under the FP7 Geoland2 project. Both status layers as well as the change layer are now distributed by the EEA and are available for download via the Copernicus Land Monitoring Services portal. The UMZ as a reference unit for city morphology (as the best approximation of the ‘real’ city form, which often does not correspond to the administrative delineation) is available from the EEA data service.
SRS 102100
Extent -1724201.54413616,3232574.29878811,3715702.8929677,9617743.35308346
Layers Imperviousness degree 2012 [%] inside UMZ in core city
Map Name Imperviousness degree 2012 [%] inside UMZ in core city
Category
Imperviousness degree changes between 2006 & 2012 inside UMZ in core city (MapServer)
Title Imperviousness_degree_changes_2006_2012_inside_UMZ_core_city
Author
Subject The map presents the soil sealing degree (%) changes between 2006 and 2012 in European cities. (UMZ inside the core city)
Keywords city,environment indicator,imperviousness
Copyright Text EEA
Registered first time 17 Oct 2016
Service Description

Maps shows the net degree of sealed surfaces changes inside the urban morphological zones (UMZ) inside the core city (cc) between the years 2006 &2012 in percent. Degree of sealed surfaces: can be most easily calculated via the Normalized Difference Vegetation Index (NDVI) from satellite images. In the frame of GMES (Copernicus) precursor activities, the high-resolution soil sealing layer for the whole of Europe for the year 2006 (based on the same satellite pictures as used for CORINE land cover data) and the ‘imperviousness 2009’ data were produced under the FP7 Geoland2 project. Both status layers as well as the change layer are now distributed by the EEA and are available for download via the Copernicus Land Monitoring Services portal. The UMZ as a reference unit for city morphology (as the best approximation of the ‘real’ city form, which often does not correspond to the administrative delineation) is available from the EEA data service.

Description
SRS 102100
Extent -1724201.54413616,3232574.29878811,3715702.8929677,9617743.35308346
Layers Imperviousness degree changes 2006-2012 [%] inside UMZ in core city
Map Name Soil sealing changes
Category
Proportion of households that are lone-pensioner households for latest available reference year [%], normalised trend for period between first and last available reference year. (MapServer)
Title lonely_pensioners_changes
Author
Subject The map shows the normalised trend in the proportion of lonely pensioner households for the period between the first and last available year. More accurately, the indicator is calculated by dividing the total difference between the first and last available year by the count of years between the first and last available year. The approach to take an average change for varying reference years rather
Keywords city,climate change
Copyright Text EEA
Registered first time 17 Oct 2016
Service Description

The map shows the normalised trend in the proportion of lonely pensioner households for the period between the first and last available year. More accurately, the indicator is calculated by dividing the total difference between the first and last available year by the count of years between the first and last available year. The approach to take an average change for varying reference years rather than taking fixed periods was selected to increase coverage.

Description
SRS 102100
Extent -6794650.9515,-2384711.8986,6178462.6713,9617743.3531
Layers Proportion of households that are lone-pensioner households [%], Normalised trend for period of first and last available reference year.
Map Name lonely_pensioners_changes
Category
Proportion of households that are lone-pensioner households for latest available reference year [%] (MapServer)
Title lonely_pensioners_status
Author
Subject Proportion of households that are lone-pensioner households for latest available reference year [%]
Keywords city,populaton
Copyright Text EEA
Registered first time 17 Oct 2016
Service Description

The map shows the share of lonely pensioner households for latest available year [%]. Due to differences in the availability of reference years, the indicator represents the value for the most recent available year. This allows to maximize coverage.

Description
SRS 102100
Extent -6794650.9515,-2384711.8986,6178462.6713,10952085.098
Layers Proportion of households that are lone-pensioner households for latest available reference year [%]
Map Name Layers
Category
Perc_Change_Commercial_flooded_Ctrl_Ts4 (MapServer)
Title Perc_Change_Commercial_flooded_Ctrl_Ts4
Author
Subject
Keywords Floods,Urban Atlas classes
Copyright Text
Registered first time 17 Oct 2016
Service Description
Commercial areas potentially affected by floods (Urban Atlas)
Description
SRS 102100
Extent -6794650.9515,-2384711.8986,6178462.6713,10952085.0978
Layers Projected change in UMZ flooded area between 2071-2100 and 1961-1990
Map Name Layers
Category
Perc_Change_Residential_flooded_Ctrl_Ts4 (MapServer)
Title Perc_Change_Residential_flooded_Ctrl_Ts4
Author
Subject
Keywords Urban Atlas,floods
Copyright Text
Registered first time 17 Oct 2016
Service Description
Projected change in residential flooded area between 2071-2100 and 1961-1990
Description
SRS 102100
Extent -6794650.9515,-2384711.8986,6178462.6713,10952085.0978
Layers Projected change in UMZ flooded area between 2071-2100 and 1961-1990
Map Name Layers
Category
Perc_Change_Transport_flooded_Ctrl_Ts4 (MapServer)
Title Perc_Change_Transport_flooded_Ctrl_Ts4
Author
Subject
Keywords Transport,floods
Copyright Text
Registered first time 17 Oct 2016
Service Description
12210 Fast transit roads and associated land 12220 Other roads and associated land 12230 Railways and associated land 12300 Port areas 12400 Airports
Description
SRS 102100
Extent -6794650.9515,-2384711.8986,6178462.6713,10952085.0978
Layers Projected change in transport flooded area between 2071-2100 and 1961-1990
Map Name Layers
Category
Perc_Commercial_flooded_Ctrl_1961_1990 (MapServer)
Title Perc_Commercial_flooded_Ctrl_1961_1990
Author
Subject
Keywords Urban Atlas,flooded areas
Copyright Text
Registered first time 17 Oct 2016
Service Description
Percentage of Industrial and Commercial classes of Urban Atlas 2012 potentially flooded in Ctr period 1961-1990
Description
SRS 102100
Extent -6794650.9515,-2384711.8986,6178462.6713,10952085.0978
Layers Percentage of Commercial flooded area in the period 1961-1990
Map Name Layers
Category
Perc_Commercial_flooded_Ts4_2071_2100 (MapServer)
Title Perc_Commercial_flooded_Ts4_2071_2100
Author
Subject
Keywords Urban Atlas 2012,Floods
Copyright Text
Registered first time 17 Oct 2016
Service Description
Percentage of Industrial and Commercia Urban Atlas classes potentially affected by river floods in Ts4 period 2071-2100
Description
SRS 102100
Extent -6794650.9515,-2384711.8986,6178462.6713,10952085.0978
Layers Percentage of Commercial flooded area in the period 2071-2100
Map Name Layers
Category
Perc_imperv_2006_2009_flooded_Ctrl__1961_1990 (MapServer)
Title Perc_imperv_2006_2009_flooded_Ctrl__1961_1990
Author
Subject
Keywords
Copyright Text
Registered first time 17 Oct 2016
Service Description
Description
SRS
Extent
Layers Percentage of imperviousness (2006-2009) flooded area in the period 1961-1990
Map Name
Category
Percentage of imperviousness (2006-2009) flooded area in the period 2071-2100.mxd (MapServer)
Title Perc_imperv_2006_2009_flooded_Ts4_2071_2100
Author
Subject Percentage of imperviousness change (2006-2009) inside flooded area for the period 2071-2100
Keywords River flooding,cities,urban,climate change impact
Copyright Text The share of city's urban sprawl in urban area [%] potentially vulnerable to river floods. Considering the imperviousness changes 2006-2009 as a proxy of urban sprawl.
Registered first time 17 Oct 2016
Service Description

Percentage of imperviousness change (2006-2009) inside flooded area for the period 2071-2100

Description
SRS 102100
Extent -6794650.9515,-2384711.8986,6178462.6713,10952085.0978
Layers Percentage of imperviousness (2006-2009) flooded area in the period 2071-2100
Map Name Layers
Category
Perc_Residential_flooded_Ctrl_1961_1990 (MapServer)
Title Perc_Residential_flooded_Ctrl_1961_1990
Author
Subject
Keywords Urban Atlas residential,floods
Copyright Text
Registered first time 17 Oct 2016
Service Description
Percentage of Urban Atlas residential areas potentially flooded in the period 1961-1990 11100 Continuous Urban Fabric (S.L. > 80 %) 11210 Discontinuous Dense Urban Fabric (S.L.: 50 %–80 %) 11220 Discontinuous Medium Density Urban Fabric (S.L.: 30 %–50 %) 11230 Discontinuous Low Density Urban Fabric (S.L.: 10 %–30 %) 11240 Discontinuous Very Low Density Urban Fabric (S.L. < 10 %) 11300 Isolated Structures
Description
SRS 102100
Extent -6794650.9515,-2384711.8986,6178462.6713,10952085.0978
Layers Percentage of residential flooded area in the period 1961-1990
Map Name Layers
Category
Perc_Residential_flooded_Ts4_2071_2100 (MapServer)
Title Perc_Residential_flooded_Ts4_2071_2100
Author
Subject
Keywords Residential,floods
Copyright Text
Registered first time 17 Oct 2016
Service Description
Percentage of residential potentially flooded area in the period 2071-2100 11100 Continuous Urban Fabric (S.L. > 80 %) 11210 Discontinuous Dense Urban Fabric (S.L.: 50 %–80 %) 11220 Discontinuous Medium Density Urban Fabric (S.L.: 30 %–50 %) 11230 Discontinuous Low Density Urban Fabric (S.L.: 10 %–30 %) 11240 Discontinuous Very Low Density Urban Fabric (S.L. < 10 %) 11300 Isolated Structures
Description
SRS 102100
Extent -6794650.9515,-2384711.8986,6178462.6713,10952085.0978
Layers Percentage of residential flooded area in the period 2071-2100
Map Name Layers
Category
Perc_Transport_flooded_Ctrl_1961_1990 (MapServer)
Title Perc_Transport_flooded_Ctrl_1961_1990
Author
Subject
Keywords transport,flooded
Copyright Text
Registered first time 17 Oct 2016
Service Description
Percentage of transport flooded area in the period 1961-1990 12210 Fast transit roads and associated land 12220 Other roads and associated land 12230 Railways and associated land 12300 Port areas 12400 Airports
Description
SRS 102100
Extent -6794650.9515,-2384711.8986,6178462.6713,10952085.0978
Layers Percentage of transport flooded area in the period 1961-1990
Map Name Layers
Category
Perc_Transport_flooded_Ts4_2071_2100 (MapServer)
Title Perc_Transport_flooded_Ts4_2071_2100
Author
Subject
Keywords Climate
Copyright Text
Registered first time 17 Oct 2016
Service Description
Description
SRS 102100
Extent -6794650.9515,-2384711.8986,6178462.6713,10952085.0978
Layers Percentage of transport flooded area in the period 2071-2100
Map Name Layers
Category
Change of urban area potentially affected by river flooding between periods 1961-1990 and 2017-2100 [%].mxd (MapServer)
Title Perc_UMZ_in_core_city_affected_by_river_floods_Changes_Ctrl_Ts4
Author
Subject Change of urban area potentially afected by river flooding between periods 1961-1990 and 2071-2100
Keywords River flooding,cities,urban,climate change impact
Copyright Text Change of urban area potentially afected by river flooding between periods 1961-1990 and 2071-2100
Registered first time 17 Oct 2016
Service Description

Change of urban area potentially afected by river flooding between periods 1961-1990 and 2071-2100

Description
SRS 102100
Extent -6794650.9515,-2384711.8986,6178462.6713,10952085.0978
Layers Projected change in UMZ flooded area between 2071-2100 and 1961-1990
Map Name Layers
Category
The share of city's urban area [%] potentially vulnerable to river floods, period 1961-1990.mxd (MapServer)
Title Perc_UMZ_in_core_city_affected_by_river_floods_Ctrl_1961_1990
Author
Subject Urban area potentially affected by river flooding, period 1961-1990 [% of core city UMZ]
Keywords River flooding,cities,urban,climate change impact
Copyright Text
Registered first time 17 Oct 2016
Service Description

In many parts of Europe, the risk of river flooding is expected to increase; in north-eastern Europe, the probability of floods is expected to fall. Further to climate exposure, the placement of many new urban areas and the accumulation of assets in low-lying areas close to rivers has intensified the sensitivity to river floods.

The map shows the low-lying urban areas potentially threatened by river flooding in a one-in-a-century flood event, both for the current period and in the projected future. However, the map does not take into account eventual future changes in urban land-take, nor any adaptation measures like flood defences or flood retention that may lower the risk.

Description
SRS 102100
Extent -6794650.9515,-2384711.8986,6178462.6713,10952085.0978
Layers Percentage of UMZ flooded area in the period 1961-1990
Map Name Layers
Category
The share of city's urban area [%] potentially vulnerable to river floods, period 2071-2100.mxd (MapServer)
Title Perc_UMZ_in_core_city_affected_by_river_floods_Ts4_2071_2100
Author
Subject Urban area potentially affected by river flooding, period 2071-2100 [% of core city UMZ]
Keywords River flooding,cities,urban,climate change impact
Copyright Text
Registered first time 17 Oct 2016
Service Description

In many parts of Europe, the risk of river flooding is expected to increase; in north-eastern Europe, the probability of floods is expected to fall. Further to climate exposure, the placement of many new urban areas and the accumulation of assets in low-lying areas close to rivers has intensified the sensitivity to river floods.

The map shows the low-lying urban areas potentially threatened by river flooding in a one-in-a-century flood event, both for the current period and in the projected future. However, the map does not take into account eventual future changes in urban land-take, nor any adaptation measures like flood defences or flood retention that may lower the risk.

Description
SRS 102100
Extent -6794650.9515,-2384711.8986,6178462.6713,10952085.0978
Layers Percentage of UMZ flooded area in the period 2071-2100
Map Name Layers
Category
City population for period between first and last available reference year (MapServer)
Title population_change
Author
Subject City population for period between first and last available reference year
Keywords city,climate change,population
Copyright Text EEA
Registered first time 17 Oct 2016
Service Description

The map shows the city population for period between first and last available reference year - based on EUROSTAT urban audit database

Description
SRS 102100
Extent -6794650.95151147,-2384711.89861218,6178462.67131034,10991727.2760294
Layers city_populaton_change
Map Name Population
Category
City population density for period between first and last available reference year [inhab / Km²] (MapServer)
Title population_density_change
Author
Subject City population density [inhab / Km²] for period between first and last available reference year
Keywords city,climate change,populaiton
Copyright Text EEA
Registered first time 17 Oct 2016
Service Description

The map shows the city population density [inhab / Km²] for period between first and last available reference year - based on EUROSTAT urban audit database

Description
SRS 102100
Extent -6794650.95151147,-2384711.89861218,6178462.67131034,10991727.2760294
Layers city_populaton_density_change
Map Name Population
Category
City population density [inhab / Km²] for the latest available reference year (MapServer)
Title population_density_status
Author
Subject City population density [inhab / Km²] for the latest available reference year
Keywords city,climate changem,population
Copyright Text EEA
Registered first time 17 Oct 2016
Service Description
The map shows the city population density for latest available reference year - based on EUROSTAT urban audit database
Description
SRS 102100
Extent -6794650.95151147,-2384711.89861218,6178462.67131034,10991727.2760294
Layers city popultion density [inhab/km²]
Map Name Population
Category
City population for the latest available reference year (MapServer)
Title population_status
Author
Subject City population for the latest available reference year
Keywords city,climate change,populaiton
Copyright Text EEA
Registered first time 17 Oct 2016
Service Description

The map shows the city population for latest available reference year - based on EUROSTAT urban audit database

Description
SRS 102100
Extent -6794650.95151147,-2384711.89861218,6178462.67131034,10991727.2760294
Layers city population
Map Name Population
Category
Unemployment rate [%], normalised trend for period between first and last available reference year. (MapServer)
Title socio_economic_changes
Author
Subject The map shows the cities unemployment rate for the latest available year [%].
Keywords city,climate change
Copyright Text EEA
Registered first time 17 Oct 2016
Service Description

The map shows the cities unemployment rate for the latest available reference year [%]. Due to differences in the availability of reference years, the indicator represents the value for the most recent available year. This allows to maximize coverage.

Description
SRS 102100
Extent -6794650.9515,-2384711.8986,6178462.6713,10952085.098
Layers Unemployment rate [%], normalised trend for period between first and last available reference year.
Map Name unemployment_rate_changes
Category
Unemployment rate for latest available reference year [%] (MapServer)
Title socio_economic_status
Author
Subject The map shows the cities unemployment rate for the latest available year [%].
Keywords city,climate change,population
Copyright Text EEA
Registered first time 17 Oct 2016
Service Description

The map shows the cities unemployment rate for the latest available reference year [%]. Due to differences in the availability of reference years, the indicator represents the value for the most recent available year. This allows to maximize coverage.

Description
SRS 102100
Extent -6794650.9515,-2384711.8986,6178462.6713,10952085.098
Layers Unemployment rate for latest available reference year
Map Name Unemployment rate for latest available reference year
Category
Urban vulnerability to climate change in Europe (MapServer)
Title Temperatures_Change_max
Author EEA
Subject Urban vulnerability to climate change in Europe
Keywords temperature,urban,vulnerability,change,climate
Copyright Text EEA
Registered first time 27 Oct 2016
Service Description
Differences in maximum daily temperature between periods 2051-2100 and 1951-2000.
Description
SRS 3035
Extent 2647126.3041,1438629.6423,6435051.3961,5192541.0593
Layers Temperature in degrees C
Map Name Differences in maximum daily temperature (ºC)
Category
Urban vulnerability to climate change in Europe (MapServer)
Title Temperatures_Change_min
Author EEA
Subject Urban vulnerability to climate change in Europe
Keywords temperature,urban,vulnerability,change,climate
Copyright Text EEA
Registered first time 27 Oct 2016
Service Description
The map shows the differences in minimum daily temperature between periods 2051-2100 and 1951-2000 on the most important european cities.
Description
SRS 3035
Extent 2647126.3041,1438629.6423,6435051.3961,5192541.0593
Layers Temperature in degrees C
Map Name Differences in minimum daily temperature (ºC)
Category
Urban morpholocial zones (UMZ) inside the core city [%] version 2012(01) (MapServer)
Title UMZ_inside_UA2012
Author
Subject The map presents Urban morpholocial zones (UMZ) inside the core city [%] version 2012(01)
Keywords city,administration
Copyright Text EEA
Registered first time 09 Nov 2016
Service Description
The UMZ layer is produced by ETS-ULS. Urban morphological zones (UMZ) are defined by following Urban Atlas 2012 classes considered to contribute to the urban tissue and function:• 11230 Discontinuous Low Density Urban Fabric (S.L. 10% - 30%)• 11240 Discontinuous Very Low Density Urban Fabric (S.L. <10%)• 14100 Green urban areas• 14200 Sports and leisure facilities• 21000 Arable land (annual crops)• 22000 Permanent crops (vineyards, fruit trees, olive groves)• 23000 Pastures• 24000 Complex and mixed cultivation patterns• 25000 Orchards• 31000 Forest• 32000 Herbaceous vegetation associations (natural grassland, moors…)• 33000 Open spaces with little or no vegetation--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------The resulting UMZ layer is clipped by the core city boundary (based on Urban AUDIT 2014 reference -EUROSTAT)-->because the UA2016 delivery is not completed the resulting layer represents only 564 core cities .Urban Atlas data and information: http://land.copernicus.eu/local/urban-atlasUrban Audit data and information: http://ec.europa.eu/eurostat/en/web/cities/spatial-units
Description
SRS 102100
Extent -1731606.4627,3225413.5961,3725267.9203,9680113.576
Layers UMZ -based on Urban Atlas 2012- inside core city
Map Name Urban morphological zone (UMZ) inside UrbanAtlas (UA2012)
Category
Total consumption of water in a given city, divided by the total resident population [m3/inh]. (MapServer)
Title Water_consumption_SymbolDraft
Author
Subject This indicator shows the total consumption of water in a given city, divided by the total resident population [m3/inh].
Keywords Water consumption
Copyright Text Last update of data: 26/10/2016 Last table structure change: 26/10/2016
Registered first time 29 Nov 2016
Service Description

The indicator itself is the quotient of two Urban Audit indicators for cities/greater cities: Indicator EN3003V ‘Total consumption of water’ (m3) and DE1001V ‘Total resident population’(inhabitants) resulting in consumption per capita (m3/inh)

Description
SRS 102100
Extent -6794650.9515,-2384711.8986,6178462.6713,10952085.0978
Layers [m³/inhabitant/year]
Map Name Layers
Category