ArcGIS REST Services Directory Login | Get Token
JSON | SOAP | WMS

Urban_Vulnerability/elderly_people_changes (MapServer)

View In:   ArcGIS JavaScript   🌍 EEA Discomap Portal   ArcGIS Earth   ArcGIS Pro

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 in the event of extreme situations.



Map Name: Elderly people changes

Legend

All Layers and Tables

Dynamic Legend

Dynamic All Layers

Layers: 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 in the event of extreme situations.



Copyright Text: EEA

Spatial Reference: 102100  (3857)


Single Fused Map Cache: false

Initial Extent: Full Extent: Units: esriMeters

Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP

Document Info: Supports Dynamic Layers: true

MaxRecordCount: 1000

MaxImageHeight: 4096

MaxImageWidth: 4096

Supported Query Formats: JSON, geoJSON, PBF

Supports Query Data Elements: true

Min Scale: 0

Max Scale: 0

Supports Datum Transformation: true



Child Resources:   Info   Dynamic Layer

Supported Operations:   Export Map   Identify   QueryLegends   QueryDomains   Find   Return Updates   Generate KML