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Travel time by train from Copenhagen or Malmö

The travel times indicate the fastest morning connection outbound from Copenhagen Central Station or Malmö Central Station, departing after 6:30AMand arriving before 9:00AM. The station catchments are calculated by bicycle travel time for any time remaining beyond train travel. For instance, a 35-minute train ride and a 10-minute cycle ride results in a 45-minute total travel time. The shades of green indicate the travel time to other train stations and their surrounding areas in four main classes: up to 15 minutes, 16 to 30 minutes, 31 to 45 minutes and 46 to 60 minutes. The areas not highlighted in green on the map are further than one hour by train from either Copenhagen or Malmö main train stations. The map clearly shows that the vast majority of areas within the Capital Region of Denmark, a number of stations and areas which are part of the region of Zealand, for instance Slagelse and Næstved, as well as areas located along four main train corridors in Skåne (Malmö-Helsingborg, Malmö-Hässleholm, Malmö-Trelleborg and Malmö-Ystad) are within the one-hour travel time by train from/to Copenhagen and/or Malmö, thanks to the different train types (Öresund trains, regional trains and intercity trains). Areas of the GCR which are beyond the one-hour travel condition are the most northern part of the Capital Region of Denmark, the southern and western parts of Zealand (e.g. Kalundborg and Vordingborg) as well as most of the eastern half part of Skåne. In terms of population, the current situation provides this possibility to almost 3 million out of 4.3 million inhabitants, corresponding to 69% of the total population living in the Greater Copenhagen Region in 2020. The proportion of the total population increases to 75% when the region of Halland is excluded (as this was not initially part of the GCR when the…

Community Impact by second home users in 2018

This map depicts the community impact (CI) of second home users in 2018[1] The indicator illustrates the impact of occasional second home visitors to the municipality. CI is defined as the ratio between annual inhabitants (AI) and regular population (CI= AI/Regular population). AI is a statistical variable that estimates the overall population of the municipalities, both the permanent inhabitants but also the seasonal second home visitors that also utilize the local infrastructure, welfare and planning resources.  AI is defined as three times the number of second homes plus the regular population. (AI= Regular population + 3 x number of second homes). Number three represents the estimate of average household size that visits the second home. Dark orange tones indicate high impact of seasonal inhabitants and light orange indicates lower impact of the seasonal variation. In populous municipalities with few recreational homes the two population measures (AI & regular population) will be almost identical, yielding a ratio approaching 1. The ratio between the regular population and the calculated annual population is large in municipalities with relatively few inhabitants and a high number of second homes. Nordic average for community impact by second home users was 1.2. Southern Savonia in Finland was the region with highest regional community impact. From other Nordic countries, the regions of Oppland in Norway, Suðurland in Iceland, and Jämtland Härjedalen in Sweden also stood out with higher ratios. On a municipal level the highest community impact can be found from Skorradalshreppur (30.0) in Iceland. Moreover, Grímsnes- og Grafningshreppur (19.0) (IS) and Kustavi (11.2) (FI) were the municipalities where the community impact also exceeded the ratio of 10. A large amount of second homes implies that there is a significant flow of people who are not permanently registered in these areas. This flow of people has both highly…

Community Impact by second home users in 2017

This map depicts the community impact (CI) of second home users in 2017[1]. The indicator illustrates the impact of occasional second home visitors to the municipality.CI is defined as the ratio between annual inhabitants (AI) and regular population (CI= AI/Regular population). AI is a statistical variable that estimates the overall population of the municipalities, both the permanent inhabitants but also the seasonal second home visitors that also utilize the local infrastructure, welfare and planning resources.  AI is defined as three times the number of second homes plus the regular population. (AI= Regular population + 3 x number of second homes). Number three represents the estimate of average household size that visits the second home. Dark orange tones indicate high impact of seasonal inhabitants and light orange indicates lower impact of the seasonal variation. In populous municipalities with few recreational homes the two population measures (AI & regular population) will be almost identical, yielding a ratio approaching 1. The ratio between the regular population and the calculated annual population is large in municipalities with relatively few inhabitants and a high number of second homes. Nordic average for community impact by second home users was 1.2. Southern Savonia in Finland was the region with highest regional community impact. From other Nordic countries, the regions of Suðurland in Iceland, Oppland in Norway and Jämtland Härjedalen in Sweden also stood out with higher ratios. On a municipal level the highest community impact can be found from Skorradalshreppur (28.9) in Iceland. Moreover, Grímsnes- og Grafningshreppur (19.2) (IS) and Kustavi (11.3) (FI) were the municipalities where the community impact also exceeded the ratio of 10. A large amount of second homes implies that there is a significant flow of people who are not permanently registered in these areas. This flow of people has both highly positive…

Municipalities by degree of urbanisation and functional urban areas

This map shows Nordic municipalities differentiated between their degree of urbanisation. The degree of urbanisation is the relationship between the population living in urban (and rural) areas and the total population of the municipality. The degree of urbanisation is a difficult concept to display but is useful as a way of adding nuance to the debate on urban-rural relations. The map also displays the functional urban areas in the Nordic Region. Cities with at least 50% of the population living in high-density clusters are highlighted in red. Towns and suburbs with less than 50% of the population living in high-density clusters and in rural areas are highlighted in dark blue. Rural areas with more than 50% of the population living in rural areas are highlighted in light blue. Functional urban areas are circled in black. The core cities of the 31 urban functional areas in the Nordic Region correspond to the cities as defined by degree of urbanisation. In the functional urban areas of Esbjerg and Aalborg in Denmark, for instance, there are however no densely populated urban centres. The hinterlands in most functional urban areas in the Nordic Region do include towns and suburbs as well as rural areas. Moreover, municipalities in sparsely populated areas can display a high degree of urbanisation, such as, for example, Kiruna and Gällivare in Sweden. The map is based on data from the Joint Research Center, the OECD Eurostat and EC-DG Region 2011 and 2014. In Iceland, the FUA Reykjavik is represented by NUTS-2 region IS001/Capital region.