Nordic cross-border co-operation committees 2021
The map shows the geographical delimitation of cross-border regions and committees financed by the Nordic Council of Ministers as of December 2021.
Cross-border commuters as a share of total employees in the Nordic Region 2015
The map shows the share of cross border commuters in the total employees with residence in a NUTS2 Nordic Region in 2015. The darker the blue, the higher the share. For the most NUTS2 regions in the Nordic, the percent is lower than 0,5%, indicating the commuting workers are the absolute minority in the total employed people. Åland (2,6%) and the South Sweden region (2,7%) stand out with more than 2% of employees in the region commuting cross-border for work. The destination country for Åland workers is Sweden, while for Swedish workers living in the south is Denmark. The commuting pattern is also apparent for the Swedish NUTS2 regions along the border line with Norway, with relatively higher percent of cross border workers commuting to Norway compared with other Nordic NUTS2 regions. At a finer scale (e.g., NUTS3) would show higher percentages in a number of regions, e.g., by taking only the NUTS 3 region – Skåne instead of the NUTS 2 region South Sweden (Skåne+Blekinge) or the border regions between NO and SE.
Cross-border commuters to other Nordic countries for work 2015
The map builds on statistics of cross-border commuters with residence in a NUTS2 Nordic region commute for work in 2015. For each NUTS2 region, the map shows the total number of commuters who commute to other Nordic countries for work. The number of commuters is categorised into three groups visualised in different shades: the darker, the higher the number of commuters. In addition, the most common country these commuters commute to from each region is identified by specific colours. For example, the darkest red indicates a region with at least 2,000 commuters working in another Nordic country, of which the largest group number of commuters works in Denmark. The most commuters were from the region of South Sweden (16 543) in 2015, and the majority of them commuted to Denmark for work. Norway is the most popular destination for work commuters in the Nordic Region, e.g., all Swedish regions except for the South Sweden region, all the regions in Denmark except for the Copenhagen region, and Iceland. Sweden is more attractive for work commuters living in Finland, Copenhagen region, and bordering regions in Norway.
Nordic cross-border co-operation committees 2020
The map shows the geographical delimitation of cross-border regions and committees financed by the Nordic Council of Ministers.
Accessibility gains from virtual health rooms in Västerbotten
To secure better access to general practitioners for the rural population, the region of Västerbotten has developed the concept of virtual healthrooms (VHRs). These VHRs are unstaffed, which means that they have no regular health personnel in situ. They are equipped with distance-spanningtechnology, which means that patients can go there to take consultations from a practitioner online, conducting health checks such as measuringblood pressure or heart rate. The coloured patches on the map show those populated areas in Västerbotten where inhabitants can expect a reduction of travel distance to primary health care through the implementation of VHRs. The coloured patches are populated areas in Västerbotten (by 1000*1000m grid) with improved accessibility of health care resulting from the implementation of virtual health rooms. The colour indicates the total distance reduced.Distance is measured as being via the road network. The average distance to the closest primary health care facility (health centre or virtual health room) is 6 km for the overall population in Västerbotten. The implementation of VHRs means that around 3.5% of the 270,000 inhabitants of Västerbotten experience increased accessibility toa primary health care service. The travel distance for this portion of the population has been cut by almost 50%, from 42 km per person to 23 km per person. Patients may also use virtual health rooms to conduct teleconsultations with health professionals at specialised hospitals, which creates even greater potential from an accessibility standpoint.
Accessibility of highly specialised care in Västerbotten
The map illustrates the accessibility of highly specialised care in Västerbotten in Sweden. The colours represent car ride times in minutes from the place of residency to the nearest health care facility within a certain service type, with a travel range of 10 minutes to two hours. The health care facilities are also located on the map. The only hospital offering highly specialised in-patient care is located in Umeå, and half of the regional population (51.0%) can reach the hospital within a 40-minute car ride. For the inhabitants of Storuman, however it takes more than a two-hours car ride to access specialised care in the hospital. The accessibility of health care services for rural dwellers are improved by means of distance-spanning digital solutions. Instead of making the effort of physically visiting a health care facility, they can access video consultations with general practitioners via virtual health care rooms, and then decide whether a follow-up physical visit to the specialised hospital is needed.
Accessibility of in-patient care in Västerbotten
The map illustrates the accessibility of in-patient care in Västerbotten in Sweden. The colours represent car ride times in minutes from the place of residency to the nearest health care facility within a certain service type, with a travel range of 10 minutes to two hours. The health care facilities are also located on the map. The accessibility of in-patient care shares similar characteristics to that of access to dropin out-patient care. The ten facilities mentioned above provide in-patient care, too. The only difference is that two facilities outside the region were included in the analysis. But they did not alter the overall picture, suggesting that inhabitants living along the border line tend not to cross the border to seek in-patient care. These hospitals are accessible to 56.3% of the population within a 10-minute car ride, and 97.1% of the population within a one-hour car drive.
Accessibility of out-patient drop-in care in Västerbotten
The map illustrates the accessibility of out-patient drop-in care in Västerbotten in Sweden. The colours represent car ride times in minutes from the place of residency to the nearest health care facility within a certain service type, with a travel range of 10 minutes to two hours. The health care facilities are also located on the map. Health care facilities offering out-patient drop-in care are characterised by even geographical distribution across Västerbotten. Each inland municipality has one such heath care facility, apart from Norsjö. All ten facilities offer drop-in care during both office hours and evenings and weekends (24/7). According to the results of our accessibility analysis, 56.% of the regional population can access drop-in out-patient care within a ten minute car ride. Within a half-hour car ride, the drop-in care service is available to 83.3% of inhabitants.
Accessibility of primary care in Västerbotten
The map illustrates the accessibility of primary care in Västerbotten in Sweden. The colours represent car ride times in minutes from the place of residency to the nearest health care facility within a certain service type, with a travel range of 10 minutes to two hours. The health care facilities are also located on the map. The 37 health care facilities in the region contribute to widespread coverage of primary outpatient care for the population in Västerbotten. Over 80% of the inhabitants can access such health care services within a 10-minute car ride, and a half-hour car ride can cover 95.8% of the regional population. In general, coastal municipalities have easier access to health care services than inland municipalities. As one of the inland municipalities, Storuman accommodates one health care facility which provides most of the health care services expected in relation to highlyspecialised care.
Smart specialisation domains in Swedish regions
This map gives an overview of the S3 focus areas in the Swedish regions in 2019. The major S3 domains in Sweden shown in the map provide a good overview of the key specialisation areas in Sweden. It is possible, for example, to check which Swedish regions have “green”, “sustainable”, “environment” at their smart specialisation domains (marked in green in their respective infoboxes for the domains in the figure). The information illustrated in the map can assist Swedish regions when they are considering opportunities for S3 synergy and co-operation with each other. In Sweden, the Swedish Agency for Economic and Regional Growth (Tillväxtverket) is a central actor in assisting regions in their work with smart specialisation. Tillväxtverket promotes opportunities for cooperation between the Swedish regional S3 processes and provides relevant information and learning seminars related to S3. Read the digital publication here.
Internal net migration by age group in the Northern sparsely populated areas 2018
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…
Early school leavers in 2014 by NUTS 2 regions
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.