This statistic shows the ten biggest cities in Norway in 2025. In 2025, approximately **** million people lived in Oslo, making it the biggest city in Norway.

Population in the largest city (% of urban population) in Norway was reported at 23.43 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Norway - Population in the largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Norway NO: Population in Largest City data was reported at 997,451.000 Person in 2017. This records an increase from the previous number of 982,894.000 Person for 2016. Norway NO: Population in Largest City data is updated yearly, averaging 677,489.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 997,451.000 Person in 2017 and a record low of 578,044.000 Person in 1960. Norway NO: Population in Largest City 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 in largest city is the urban population living in the country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; ;

Population in largest city in Norway was reported at 1100868 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Norway - Population in largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Norway NO: Population in Largest City: as % of Urban Population data was reported at 23.065 % in 2017. This records an increase from the previous number of 23.044 % for 2016. Norway NO: Population in Largest City: as % of Urban Population data is updated yearly, averaging 22.957 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 32.334 % in 1960 and a record low of 22.249 % in 1981. Norway NO: Population in Largest City: as % of Urban Population 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 in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; Weighted average;

The price change of rental housing in major Norwegian cities fluctuated during the period from 2013 to 2021. As of the first quarter of 2021, the price had decreased by *** percent since the fourth quarter of 2020. In contrast, in the first quarter of 2020, the rentals increased by *** percent compared to the fourth quarter of 2019.

About this dataset

Context

The dataset tabulates the Norway household income by age. The dataset can be utilized to understand the age-based income distribution of Norway income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Norway, MI annual median income by age groups dataset (in 2022 inflation-adjusted dollars)
• Age-wise distribution of Norway, MI household incomes: Comparative analysis across 16 income brackets

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Norway income distribution by age. You can refer the same here

All cities with a population > 1000 or seats of adm div (ca 80.000)Sources and ContributionsSources : GeoNames is aggregating over hundred different data sources. Ambassadors : GeoNames Ambassadors help in many countries. Wiki : A wiki allows to view the data and quickly fix error and add missing places. Donations and Sponsoring : Costs for running GeoNames are covered by donations and sponsoring.Enrichment:add country name

Norway, officially the Kingdom of Norway, is a Nordic country in Northern Europe, the mainland territory of which comprises the western and northernmost portion of the Scandinavian Peninsula. The remote Arctic island of Jan Mayen and the archipelago of Svalbard also form part of Norway. Bouvet Island, located in the Subantarctic, is a dependency of Norway; it also lays claims to the Antarctic territories of Peter I Island and Queen Maud Land. The capital and largest city in Norway is Oslo.

Source: Objaverse 1.0 / Sketchfab

No：最大城市人口在12-01-2017达997,451.000人，相较于12-01-2016的982,894.000人有所增长。No：最大城市人口数据按年更新，12-01-1960至12-01-2017期间平均值为677,489.500人，共58份观测结果。该数据的历史最高值出现于12-01-2017，达997,451.000人，而历史最低值则出现于12-01-1960，为578,044.000人。CEIC提供的No：最大城市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。

No：最大城市人口占城市总人口的百分比在12-01-2017达23.065%，相较于12-01-2016的23.044%有所增长。No：最大城市人口占城市总人口的百分比数据按年更新，12-01-1960至12-01-2017期间平均值为22.957%，共58份观测结果。该数据的历史最高值出现于12-01-1960，达32.334%，而历史最低值则出现于12-01-1981，为22.249%。CEIC提供的No：最大城市人口占城市总人口的百分比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。

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.

Basic information

This dataset contains simulation results for the so-called Danmarksplass domain, an area in the city of Bergen, Norway. Danmarksplass is the major trafic conjuction point in Bergen. Danmarksplass is located in a densily built-up and populated urban district subjected to many environmental challenges among them air pollution by NOx and aerosols (particulate matter PM2.5 and PM10) are considered as significant health threats. Detailed studies of the Danmarksplass meteorological conditions, air quality, and structure of the air polution could be found in Wolf et al. (2014a,b; 2017; 2020; 2021).

This dataset contains two collections of new simulations of air quality at Danmarksplass. The simulations were performed with the PALM modeling system v23.04 with additional modules developed in the TURBAN project (Radovic et al., 2024; Resler et al. to be submitted). This two collections of the PALM runs spans two air pollution episodes :

Summer episode (2019-07-20 to 2019-07-27) of the record breaking summer heat wave in Bergen (on July 26, 2019; https://www.bt.no/nyheter/lokalt/i/QoE3rA/naa-er-334-den-nye-varmerekorden-i-bergen) when considerable problems (haze, smell) from the aerosol air pollution (PM2.5 and PM10) were noted (Esau et al., 2022). The main sources of pollution are ships in the port of Bergen and road traffic.

Winter episode (2021-02-04 to 2021-02-12) of the prolonged cold wave in Bergen (https://www.bt.no/nyheter/lokalt/i/lEOVm9/kulde-med-historisk-sus-i-bergen) when considerable problems (haze, smell) from the aerosol air pollution (PM2.5 and PM10) were noted (Esau et al., 2022). the main source of pollution is household wood combustion for heating.

Thus, the dataset presents multiple daily (24 h) runs driven by the results of model downscaling of ERA5 reanalysis with WRF model (produced by K. Eben and M. Bures). The aerosol emission sources are described in Wolf et al. (2020; 2021). The runs where combined into a single dataset in post-processing.

The observational data for these two episodes collected in the TURBAN project are avaialble in Esau et al. (2023).

For more detailed description of the experiments see the TURBAN project website at https://www.project-turban.eu/.

General organisation

The dataset organized as follows. There are four folders named as "scenario_Bergen_{episode}_PALM_set0_{domain}_domain" where

{episode} is either the selected summer scenario {episode} = summer_2019-07 or the winter scenario {episode} = winter_2021-02

{domain} is either the larger coarse resolution domain smaller fine resolution domain {domain} = child

Each scenario folder contains daily dynamic, static, chemistry drivers and the PALM configuration files in subfolders INPUT in folders designated by the day, e.g., dpc_set0_D0_D1_20210215/INPUT, to rerun all simulations if necessery. For convinience, the common static driver (set0_2021-02_static.nc) and the combined model output averaged over 3 h intervals (combined_set0_2021-02_av_xy.nc) are provided.

The simulation results for each scenario contain:

The combined PALM runs output average over 3 hours and presented on certain model levels (the files "*_av_xy*.nc"). The files are in the NetCDF4 format.

The maps in PNG format visualizing the most relevant results for stakeholds (files in folder NMAP)

In addition, we included the template of a Python script that is used to read the data and create Nmaps.

Modelled variables

Each subfolder includes 4 subfolders with variables. Variable kc_PM10 is the concentration of PM2.5 at the 3rd model level, theta_2m is the potential temperature at 2m above ground, tsurf is the surface temperature and wspeed_10m is the wind speed at 10m above ground.

File nomenclature

Each file (PNG) has the same nomenclature. An example (set0_kc_PM10_2021-02-04T0300.png) could be parsed as: domain name (set0), variable name (kc_PM10), date and time of the output (2021-02-04T0300) and averaged period (from (03:00 - 3h) to 03:00). So, the result is a map with 3 hourly averaged PM2.5 concentrations for 4 February 2021 between 00:00 and 03:00 UTC.

Important note

During the processing phase a few potentially important problems were identified and need to be analysed in detail. One of them are extremely overestimated concentrations due to stable conditions from boundary condition inputs. In certain situations it can happen that the best regional meteorological model can provide inappropriate input conditions for some episode. This needs to be checked in detail before any following interpretation.

References

Esau, I.: TURBAN – Observational datasets for studies of urban air quality hazard scenarios in Bergen, Norway, DataverseNO, V1, https://doi.org/10.18710/QHUAZ2, 2023.

Radović, J., Belda, M., Resler, J., Eben, K., Bureš, M., Geletič, J., Krč, P., Řezníček, H., Fuka, V., 2024. Challenges of constructing and selecting the “perfect” boundary conditions for the large-eddy simulation model PALM. Geosci. Model Dev. 17, 2901–2927. https://doi.org/10.5194/gmd-17-2901-2024

Wolf, T., Esau, I., Reuder, J., 2014a. Analysis of the vertical temperature structure in the Bergen valley, Norway, and its connection to pollution episodes. J. Geophys. Res. 119. https://doi.org/10.1002/2014JD022085

Wolf, T., Esau, I., 2014b. A proxy for air quality hazards under present and future climate conditions in Bergen, Norway. Urban Clim. 10, 801–814. https://doi.org/10.1016/j.uclim.2014.10.006

Wolf-Grosse, T., Esau, I., Reuder, J., 2017. The large-scale circulation during air quality hazards in Bergen, Norway. Tellus A Dyn. Meteorol. Oceanogr. 69, 1406265. https://doi.org/10.1080/16000870.2017.1406265

Wolf, T., Pettersson, L.H., Esau, I., 2020. A very high-resolution assessment and modelling of urban air quality. Atmos. Chem. Phys. 20, 625–647. https://doi.org/10.5194/acp-20-625-2020

Wolf, T., Pettersson, L.H., Esau, I., 2021. Dispersion of particulate matter (PM2.5) from wood combustion for residential heating: optimization of mitigation actions based on large-eddy simulations. Atmos. Chem. Phys. 21, 12463–12477. https://doi.org/10.5194/acp-21-12463-2021

Acknowledgements

The PALM simulations, and pre- and postprocessing were performed partially on the HPC infrastructure of the Norwegian SIGMA2 facilities. The work was performed within the project TURBAN (TO01000219; TURBAN – Turbulent-resolving urban modelling of air quality and thermal comfort) supported by Norway Grants and Technology Agency of the Czech Republic.