Maps

The map shows the proportion of households within each municipality that did not have access to a fixed-line broadband connection with a download speed above 30 Mbps in 2018. Put another way, the map shows the proportion of households which only had access to basic broadband. In Danish, Icelandic and Swedish municipalities, the proportion of households which only have basic broadband is rather small. In contrast, more than half of all households rely on basic broadband in many Norwegian and Finnish municipalities. The situation in Finland is particularly striking, with several municipalities in which over 75% of households have only basic Internet access. The average coverage by municipality type shows a clear digital divide between urban and rural municipalities. On average, fast broadband is available to all but 4% of households in urban municipalities. In contrast, approximately one third of households in rural municipalities do not have access to any faster broadband than 30 Mbps. The largest urban-rural digital divide is to be found in Norway and Finland. However, the pace of fibre development has never been higher. Particularly noteworthy is the strong growth in fibre-based broadband taking place outside of the densely populated areas.

This map shows the average distance to the edge of the closest urban area for the population living outside urban areas in the Nordic municipalities and regions. These figures are of particular interest in the analysis of urban-rural patterns and the Nordic populations’ access to local services in sparsely population areas. The darker shades on the map indicate longer average distances to the edge of the nearest urban area, and the lighter shades indicate shorter average distances. While almost all Danish municipalities have an average distance of below 10 km from rural grid cells to the nearest urban area, a large share of the municipal populations of the remaining Nordic countries need to contend with longer average distances to local services. The largest distances can be found in several municipalities of Iceland and Norway (Árneshreppur 230 km, Hasvik 154 km), whereas the largest average distances for Finnish and Swedish municipalities are considerably shorter (Enontekiö 103 km, Storuman 52 km). Regarding within-country variation, shorter average distances can generally be found in southwestern Finland and southern Sweden, in comparison with the more remote parts of these countries. Both Norway and Iceland provide a rather more mixed picture, since there are municipalities with shorter average distances scattered across different parts of each country. Method used to calculate the degree of rurality In order to take into account access to services such as grocery stores, pharmacies, schools, community centres and public transport, the European definition of urban grid cells was used to create this map, i.e. a population density threshold of 300 inhabitants per km2 applied to grid cells of 1 km2. The closest distance was calculated from each rural grid cell centroid to the nearest urban grid cell centroid along the existing road network traversable by car, including car ferries, based on population…

This map shows the internal net migration rate in 2018 (left map) and net migration by age group (right map) in local labour market areas of the Northern sparsely populated areas in 2018 The map on left shows the internal net migration rate in the NSPAs in 2018. Although many regions experienced negative net migration, this was not the case for all segments of the population. The map on the right of shows the age groups in which more people moved in than moved out, despite these regions having negative net migration overall. The red colours on the map on the left indicates a net out-migration, while the blue colours indicate a positive net migration. In the map on the right, the red colours indicate net out-migration for all age groups and the grey positive net migration overall. The other colours indicate age groups with a positive net migration (while having negative net migration overall). Inward and outward migration are slightly different in the local labour market areas (LLMAs) compared to the independent labour markets. Among the LLMAs, Rovaniemi is the only one that has positive net migration in all age groups. This positive development may be due to the number of governmental offices, the strength of the tourism industry and the presence of two universities. On the contrary, 18 local labour market areas– four in Sweden, nine in Norway and five in Finland – have negative net migration in all age groups. Out-migration of young adults is seen in most of LLMAs, the exceptions being Umeå, Målsev, Joensuu and Oulu. The inflows of young adults in these regions reflect the presence of the universities in Umeå, Joensuu and Oulu and the army bases in Målselv. Despite this positive inflow, most of these LLMAs are unable to retain adults in…

The map shows the distribution of coastal and inland settlements on permafrost in the Arctic in 2017. Permafrost is ground that is at or below 0°C for at least 2 consecutive years. The purple tones indicate settlements located on permafrost and distinguishes between coastal (light purple) and inland (dark purple) settlements. Settlements located outside the permafrost extent are in yellow. Among all Arctic settlements, 66,1% are located on permafrost. Settlements are classified as permafrost settlements if they are located within the permafrost extent, comprising zones of continuous, discontinuous, sporadic, or isolated permafrost. Among all permafrost settlements 46,0% are coastal. Coastal settlements are defined by their dependency to the sea. They are either adjacent to the coast, located inland along large rivers with a free connection to the open sea, or located within a short distance to the sea (0-200 km). In this map, coastal settlements comprise all settlements that are located within an Arctic subregion adjacent to the coast. Most of the settlements located outside the permafrost extent area are in the Nordic countries (Iceland, Norway, the Faroe Islands, Sweden, and Finland) as well as in the southern part of Alaska (USA) and the western part of the Russian Arctic. Almost all Arctic settlements in the Russian Federation and in Canada are located on permafrost. The increase in air surface temperature observed in the Arctic causes dramatic changes in the permafrost thermal regime leading to the destabilisation of infrastructure built on permafrost.

The terrestrial ecosystem of the Arctic is characterized by low tundra vegetation, composed of shrubs, herbaceous plants, mosses, and lichens. Arctic vegetation is becoming more productive due to increasing air temperature. One of the main trends shows an increase in tall shrub cover. On the contrary, the cover of lichen and moss has declined in response to regional warming.

This map shows the main components of the cryosphere in the Arctic: sea-ice, permafrost, ice-sheets, and glaciers. Sea-ice covers most of the Arctic Ocean during winter. The sea-ice extent reaches its maximum in March, when it covers approximately 14-16 million km2. Since 1979, the Arctic ice extent in winter has decreased by 3% per decade relative to the 1981-2010 average, and this trend accelerates. Similarly, ice-sheets and glaciers, which cover globally over 15 million km2 are melting. In the Arctic, the main ice-sheet is the Greenlandic ice sheet. Most of the land surface in the Arctic is underlay by permafrost, ground that is at or below 0°C for at least 2 consecutive years. The purple tones on the map indicates the extent of the northern circumpolar permafrost. Permafrost can occur as continuous (dark purple, 90-100% coverage), discontinuous (purple, 50-90% coverage), sporadic (light purple, 10-50%), or isolated patches (magenta, 0-10% coverage). Permafrost is thawing due to increased air temperatures and precipitations in the Arctic. Permafrost temperature increased by 0.29 ± 0.12°C between 2007 and 2016.

Within the northern circumpolar permafrost region, there are ca. 1300 protected areas. Most of these areas are terrestrial (1069), while 126 are coastal – defined as partially within the marine environment – and 62 are marine. The World Database on Protected Areas (WDPA)[1] includes a wide range of protected areas, including national protected areas recognized by the government, areas designated under regional and international conventions, privately protected areas and indigenous peoples’ and community conserved territories and areas. Greenland is one of the countries with the largest protected terrestrial area (41,0%). [1] IUCN and UNEP-WCMC (2019), The World Database on Protected Areas (WDPA) [On-line], [January 2019]. Cambridge, UK: UNEP-WCMC. Available at: www.protectedplanet.net.

This map shows the forest felling at the regional level in the Nordic Region (average 2013-2015). The chart shows the forest felling by category in 1,000 m3 at the national level in the Nordic Region in 2015. On the map, the green bars indicate the average 2013-2015 forest felling. The higher the bar, the greater the forest felling in the region. The grey colour indicates regions with no data. The chart shows different forest felling categories in 1,000 m3 in 2015. The dark brown represents logs or timber, the light brown represents pulpwood, and the dark grey the energywood. The Nordic Region has a large potential for forest multi-use. Sweden and Finland have the largest forest felling in 1,000 m3, with the greatest use in logs and timber. Wood bi-products is extensively used for energy purposes and the forests display a large potential for increasing the production of renewable energy as well as other bio-based products.  

These maps show the energy produced by biogas (in GWh) as well as the number of facilities producing bioenergy in the Swedish regions. The maps also show the location and type of biogas plants in Denmark, Finland, and Iceland. The brown shading indicates the produced energy in GWh in each region. The darker the brown, the larger the energy produced. The black circles are proportional to the number of facilities producing bioenergy in the Swedish region. The location of biogas plants in Denmark, Finland, and Iceland is indicated by coloured circles. The colours indicate the type of biogas plant. Biogas production is widely distributed across the Nordic Region and between the types of sources used. In 2015, 18% of the energy use in Denmark came from biomass and waste. In the western part of Denmark, biogas is mainly based on manure from farms supplemented with sludge and organic waste from wastewater plants. The vast infrastructure for gas makes it easy and accessible for farmers to link biogas to the existing energy net. The largest numbers of plants in Finland are based on farms and landfills. In 2015 in Sweden, 282 facilities produced 1947 GWh biogas with the largest regional production being in Skåne (417.5 GWh), Västra Götaland (350.9), and Stockholm (255.8). Iceland had a biogas facility in Reykjavík at Álfsnes landfill with plans for expansion in 2018.

This map shows the land cover in the Nordic Region in 2012. Land cover data indicates the physical land type, helping to understand the current landscape of an area. The different colours represent land cover types with urban/artificial surfaces in red, agricultural areas in orange, forests in green, scrub and herbaceous vegetation in yellow, bare ground in grey, water bodies in blue and glaciers and perpetual snow in white. There are significant differences between the Nordic countries in terms of their land use. Denmark is largely agricultural (62%), while Finland (73%), a large part of Sweden (69%) and south-eastern Norway (28%) are all dominated by forest, mainly coniferous. Iceland and the Faroe Islands have large areas of scrub and herbaceous vegetation, suitable for grazing livestock. Open land with little vegetation is significant for many regions in Norway and Iceland. Vast parts of Greenland and parts of Iceland are glaciers. The Nordic countries all have long coastlines and easy access to marine resources. The map is a Corine 2012 raster DB (V. 18.5) at 100m resolution from the European Environmental Agency and the Copernicus program, with funding by the European Union. For Faeroe Islands and Greenland the data is from GlobCover 2009 land cover, ESA 2010 and UCLouvain (harmonization by Nordregio).

As of 1 January 2015

Number of cruise ship passengers and cruise ship calls

Main shipping routes in 2015 and ports with onshore power supply (OPS) in 2016

Number of days PM10 concentrations exceed 50 μg/m3 in 2013 and differences in number of days PM10 concentrations exceed 50 μg/m3 between 2005 and 2013

Location of the case studies for the project In depth-study 3: Green growth in Nordic regions: state-of-play, practices and needs

Location of the 50 case studies for the project Nordic Green Growth

Persons with at most lower secondary education as share of total population aged 18-24 The map indicates variations within the Nordic countries with the lowest rates of early school leaving found in Swedish regions. In six of the eight Swedish NUTS 2 regions (riksområden) early school leavers make up less than seven percent of the population aged 18-24 years. Hovedstaden in Denmark is the only other Nordic region with a similar rate. In Finland (suuralue/storområde) and Norway (landsdel), variations between the NUTS 2 regions are bigger than in Sweden and Denmark. In the northernmost Finnish region, Pohjois- ja Itä-Suomi (North & East Finland), early school leavers make up a small portion of the population aged 18-24 years, below both the EU average (11.1%) and the two southernmost Finnish NUTS 2 regions. In the Faroe Islands, Iceland, Northern Norway, and, in particular, Greenland, the percentage of the population aged 18-24 years with lower-secondary school as their highest level of education is well above the EU average. With respect to gender, the balance is fairly even in northern Sweden and northern Norway. All other countries and regions included in the map show patterns consistent with the EU average, with males making up a larger portion of the early school leaving population.

Share of renewable energy in gross final energy consumption in 2013