Historical chart and dataset showing Norway population density by year from 1961 to 2022.

Norway NO: Population Density: People per Square Km data was reported at 14.462 Person/sq km in 2017. This records an increase from the previous number of 14.332 Person/sq km for 2016. Norway NO: Population Density: People per Square Km data is updated yearly, averaging 11.573 Person/sq km from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 14.462 Person/sq km in 2017 and a record low of 9.883 Person/sq km in 1961. Norway NO: Population Density: People per Square Km data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Norway – Table NO.World Bank.WDI: Population and Urbanization Statistics. Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.; ; Food and Agriculture Organization and World Bank population estimates.; Weighted average;

Population density (people per sq. km of land area) in Norway was reported at 14.98 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Norway - Population density (people per sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Historical dataset showing Norway population density by year from 1961 to 2022.

In 2023, the region Viken was the most populated in Norway. The region, which contains large areas surrounding the capital Oslo, had a population of nearly 1.3 million people in 2023. Oslo had the second highest number of inhabitants with around 709,000, followed by Vestland. Meanwhile, the northern region of Nordland has the lowest number of inhabitants, counting 241,000 people. At the beginning of 2023, a total of 5.5 million people lived in Norway.

Denmark has, by far, the highest population density of the Nordic countries. This is related to the fact that it is the smallest Nordic country in terms of land area. Meanwhile, Iceland, which has the smallest population of the five countries, also has the lowest population density. As the total population increased in all five countries over the past decade, the population density also increased.

Comprehensive socio-economic dataset for Norway including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

Density of physicians of Norway rose by 1.61% from 5.1 number per thousand population in 2020 to 5.2 number per thousand population in 2021. Since the 1.80% upward trend in 2011, density of physicians soared by 23.40% in 2021.

The most inhabited county in Norway in 2022 was Viken, with nearly 1.3 million inhabitants. The capital Oslo had the second highest number of inhabitants with nearly 700,000, closely followed by Vestland. In comparison, the least inhabited county was Nordland, with roughly 240,000 inhabitants. This was slightly less than Troms og Finnmark.

Poland population density for 2021 was 123.32, a 0.39% decline from 2020.

• Poland population density for 2020 was 123.80, a 0.18% decline from 2019.
• Poland population density for 2019 was 124.03, a 0% increase from 2018.
• Poland population density for 2018 was 124.03, a 0.01% increase from 2017.

Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.

The share of urban population in Norway saw no significant changes in 2023 in comparison to the previous year 2022 and remained at around 84 percent. Still, the share reached its highest value in the observed period in 2023. A population may be defined as urban depending on the size (population or area) or population density of the village, town, or city. The urbanization rate then refers to the share of the total population who live in an urban setting. International comparisons may be inconsistent due to differing parameters for what constitutes an urban center.Find more key insights for the share of urban population in countries like Denmark and Sweden.

Associations* of sex, region, and population density with mean BMI IOTF z-score† from 8 to 13 years (n = 1852, 3317 observations).

Rupertina stabilis occupies a depth restricted biotope of suspension feeding animals situated at the Norwegian continental margin. It extends from the Voring plateau northwards for at least 200 - 300 km, in depths between 600 and 800 m. This slope position is known for relatively strong bottom currents and shifting watermass boundaries. - The species is attached to hard substrates, mainly stones or hydroid stalks and obviously prefers an elevated position. It is building a permanent cyst of sponge spicules and debris at the apertural region. The spicules are used to support a pseudopodial network similar to that described from Halyphysema (LIPPS 1983). It is believed to serve as a filter apparatus. - A review of known occurences in the Atlantic is given, suggesting a temperature adaption of the species ranging from 0°C to a maximum of 8°C. Specimens were successfully cultured for about 2-3 weeks.

6,7 (Inhabitants per sq. km) in 2016.

Associations* of sex, region, and population density with IOTF† overweight, obesity, and thinness from 8 to 13 years (n = 1852, 3317 observations).

35,0 (Inhabitants per sq. km) in 2016.

Description of the Norwegian Youth Growth Study sample (max N = 1852)*.

The objective of this study was to estimate and compare the occurrence of AMR in wild red foxes in relation to human population densities. Samples from wild red foxes (n = 528) included in the Norwegian monitoring programme on antimicrobial resistance in bacteria from food, feed and animals were included. All samples were divided into three different groups based on population density in the municipality where the foxes were hunted. Of the 528 samples included, 108 (20.5%), 328 (62.1%) and 92 (17.4%) originated from areas with low, medium and high population density, respectively. A single faecal swab was collected from each fox. All samples were plated out on a selective medium for Enterobacteriaceae for culturing followed by inclusion and susceptibility testing of one randomly selected Escherichia coli to assess the overall occurrence of AMR in the Gram-negative bacterial population. Furthermore, the samples were subjected to selective screening for detection of E. coli displaying resistance towards extended-spectrum cephalosporins and fluoroquinolones. In addition, a subset of samples (n = 387) were subjected to selective culturing to detect E. coli resistant to carbapenems and colistin, and enterococci resistant to vancomycin. Of these, 98 (25.3%), 200 (51.7%) and 89 (23.0%) originated from areas with low, medium and high population density, respectively. Overall, the occurrence of AMR in indicator E. coli from wild red foxes originating from areas with different human population densities in Norway was low to moderate (8.8%). The total occurrence of AMR was significantly higher; χ2 (1,N = 336) = 6.53, p = 0.01 in areas with high population density compared to areas with medium population density. Similarly, the occurrence of fluoroquinolone resistant E. coli isolated using selective detection methods was low in areas with low population density and more common in areas with medium or high population density. In conclusion, we found indications that occurrence of AMR in wild red foxes in Norway is associated with human population density. Foxes living in urban areas are more likely to be exposed to AMR bacteria and resistance drivers from food waste, garbage, sewage, waste water and consumption of contaminated prey compared to foxes living in remote areas. The homerange of red fox has been shown to be limited thereby the red fox constitutes a good sentinel for monitoring antimicrobial resistance in the environment. Continuous monitoring on the occurrence of AMR in different wild species, ecological niches and geographical areas can facilitate an increased understanding of the environmental burden of AMR in the environment. Such information is needed to further assess the impact for humans, and enables implementation of possible control measures for AMR in humans, animals and the environment in a true “One Health” approach.

No：人口密度：每平方公里人口在12-01-2017达14.462Person/sq km，相较于12-01-2016的14.332Person/sq km有所增长。No：人口密度：每平方公里人口数据按年更新，12-01-1961至12-01-2017期间平均值为11.573Person/sq km，共57份观测结果。该数据的历史最高值出现于12-01-2017，达14.462Person/sq km，而历史最低值则出现于12-01-1961，为9.883Person/sq km。CEIC提供的No：人口密度：每平方公里人口数据处于定期更新的状态，数据来源于World Bank，数据归类于全球数据库的挪威 – Table NO.World Bank.WDI：人口和城市化进程统计。

This dataset was produced under contract from Helsedirektoratet with methods documented in this report: https://brage.nina.no/nina-xmlui/handle/11250/3176432

Note: this dataset is a nationally representative sample of schools. It is not designed to be used at county ("fylke") or municipal ("kommune") level. Using the data to make conclusions at other geographic scopes may lead to biased and erroneous results. The user is soley responsible for how the data is used.

There are three data files related to the sample of 370 schools included in the analysis:

• schools_boundaries_final.geojson - this is a spatial data file containing the outlines of schoolyards.
• schools_lond_cover_final.geojson - this is a spatial data file containing the outlines of the land cover elements within each schoolyard.
• schools_metadata_final.csv - this is a spreadsheet containing the metadata for each school, along with the land cover areas and surrounding greenspace areas calculated in the study.

The metadata file contains the following columns:

• "id" - the school ID which can be usd to join with the spatial data files. If you remove the suffix 'skl_' then you are left with a number which can be used to join with the national registry of schools found here: https://kartkatalog.geonorge.no/metadata/grunnskoler/db4b872f-264d-434c-9574-57232f1e90d2
• "antallelever" - the number of students for the school
• "skolekretsID" - the ID of the school catchment area used to calculate population density and then urban/rural/dense-urban categorization.
• "pop_dens" - population density within the corresponding school catchment (people per sqaure kilometer)
• "urb_rural" - urban/dense-urban/rural categorization
• "asfalt/betong" - schoolyard area of asphalt and concrete in decares
• "gress" - schoolard area of grass in decares
• "gummifelt/kunstgress" - schoolard area of artificial grass or surfaces in decares
• "sand/stein" - schoolard area of sand or stone in decares
• "trær" - schoolard area of trees or bushes in decares
• "areaTot" - total area of the schoolyard in decares including buildings and parking
• "uteareal" - total area of schoolyard in decares excluding buildings and parking
• "surroundGreenSpacePerc" - green space percentage cover within 200m of the schoolyard boundary
• "surroundGreenSpaceArea" - green space area in decares within 200m of the schoolyard boundary
• "surroundAreaTot" - total area of surrounding buffer in decares (200m of the schoolyard boundary)