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 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 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 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.

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.

This study combines a decade of daily weather, traffic, and air quality data from Norway's six largest cities. The data is sourced from the Norwegian Public Roads Administration, the Norwegian Institute of Air Research, and the Norwegian Meteorological Institute. Careful selection and verification of monitoring stations were conducted to ensure accuracy and consistency. Initially focusing on the top ten populous cities, monitoring sites for traffic and air pollution were scrutinized. Weather variables were then aligned with selected sites, resulting in a dataset spanning 2009 to 2018. It includes key pollutants like NO, NO2, NOx, PM2.5, and PM10. This dataset has significant potential for further analysis and informing policy decisions, making it valuable for researchers and policymakers studying the connections between weather, traffic, and air quality in urban areas.

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;

In 2023, Oslo had *** accommodation establishments, hotels and similar. This was the highest figure registered among the main Norwegian cities. Bergen was the second-largest hub for the hotel industry of this Scandinavian country, with ** of such establishments.

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

With 1.9 Million Businesses in Norway , Techsalerator has access to the highest B2B count of Data/Business Data in the country. .

Thanks to our unique tools and large data specialist team, we can select the ideal targeted dataset based on the unique elements such as sales volume of a company, the company's location, no. of employees etc...

Whether you are looking for an entire fill install, access to our API's or if you are just looking for a one-time targeted purchase, get in touch with our company and we will fulfill your international data need.

We cover all regions and cities in Noway. Example :

Example of cities :

Oslo Oslo
Bergen Bergen
Trondheim Trondheim Stavanger Stavanger Drammen Drammen Fredrikstad Fredrikstad Kristiansand Kristiansand
Sandnes Sandnes Tromso Tromsø
Sarpsborg Sarpsborg Skien Skien

Regions : Northern Norway, Trøndelag, Western Norway, Southern Norway and Eastern Norway.

In January 2025, most of the stores of the Norwegian coffee bar chain Kaffebrenneriet were located in Oslo. In the capital, there were 37 stores. The chain operates countrywide in Norway and has outlets in Trondheim and Fredrikstad, among other cities. Kaffebrenneriet's main business consists of the sale of coffee and other coffee-based drinks, but the chain also offers coffee beans, sweets, and snacks to be purchased in the store.

The Oslo data center market, while lacking precise figures in the provided data, exhibits significant growth potential, mirroring global trends. The 9.33% CAGR indicates a robust expansion trajectory, driven by increasing digitalization across sectors like cloud computing, BFSI, and e-commerce within Norway and the broader Nordics region. The market segmentation reveals a diverse landscape, with data centers varying in size (from small to mega-scale facilities) and serving different tiers of cities and towns. Demand is fueled by the need for low-latency connectivity and high availability, particularly benefiting Tier 1 and 2 cities in Norway. The utilization rates, segmented into colocation types (retail, wholesale, hyperscale) and end-users, highlight the key drivers. Hyperscale deployments are likely to contribute significantly to growth, alongside the expanding needs of cloud providers and other major technology companies. While specific restraints aren't detailed, factors like energy costs and sustainability concerns, common in data center operations, may influence market dynamics. Competitive analysis points to the presence of both established international players and local Norwegian providers, creating a dynamic market with potential for consolidation and further investment. The geographical spread across Norway, likely concentrated in Oslo and surrounding areas, warrants further investigation to understand regional nuances. Considering the provided 9.33% CAGR and a lack of specific market size (XX), a reasonable estimation for the 2025 Oslo data center market size can be made based on comparable regional markets. Assuming a comparable market size to other Nordic capitals, and adjusting for Norway's specific economic conditions, a plausible starting point would be in the range of several hundred million USD. Given this estimate and the CAGR, future year predictions can be derived, although the precision is limited by the absence of baseline data. Market share analysis, while mentioned, is not provided, meaning precise individual company performance remains unknown. However, the list of companies suggests a mix of both established global players and smaller regional players. The absence of detailed regional breakdowns beyond "Nordics" requires further research to assess precise market segmentation and penetration within specific Norwegian regions beyond Oslo. Further analysis integrating local economic data and energy sector information would significantly enhance the insights. Recent developments include: September 2022: Bulk announced several expansion initiatives at its Norwegian data center locations, with investments focused on ensuring long-term power and land availability. Highly connected and scalable sites powered by 100% renewable energy are provided. With many European locations battling with power restrictions and increasing demand for data center capacity, Bulk completed the installation of the N01 onsite substation, which provides 125 MVA of dual connections to the adjacent Kristiansand substation., September 2022: Stack Infrastructure successfully connected an Oslo data center to the local district heating system four years after DigiPlex began the project. The OSL01 data center has been linked to Hafslund Oslo Celsio's district heating system in the Norwegian capital. Following a one-year ramp-up period, waste heat from the facility is now expected to provide heat and hot water for up to 5,000 houses.. Notable trends are: Tier 3 is Expected to Hold Significant Share of the Market.

About this dataset

Context

The dataset tabulates the Norway town median household income by race. The dataset can be utilized to understand the racial distribution of Norway town 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, Maine median household income breakdown by race betwen 2011 and 2021
• Median Household Income by Racial Categories in Norway, Maine (2021, in 2022 inflation-adjusted dollars)

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 town median household income by race. You can refer the same here

Malaysia Tourist Arrival: Sightseeing In Cities: Norway data was reported at 85.500 % in 2015. This records an increase from the previous number of 75.400 % for 2014. Malaysia Tourist Arrival: Sightseeing In Cities: Norway data is updated yearly, averaging 85.500 % from Dec 2003 (Median) to 2015, with 13 observations. The data reached an all-time high of 100.000 % in 2013 and a record low of 20.100 % in 2003. Malaysia Tourist Arrival: Sightseeing In Cities: Norway data remains active status in CEIC and is reported by Tourism Malaysia. The data is categorized under Global Database’s Malaysia – Table MY.Q009: Tourist Arrivals By Major Activities Engaged.

The Norway Transportation Infrastructure Construction Market is experiencing robust growth, driven by significant government investments in upgrading and expanding its transportation network. The market, valued at approximately 15 billion NOK (based on an estimated 2025 market size and CAGR) in 2025, is projected to maintain a Compound Annual Growth Rate (CAGR) exceeding 4% through 2033. This expansion is fueled by several key factors. Firstly, Norway's commitment to sustainable transportation is leading to increased investment in electric vehicle charging infrastructure and public transportation projects, particularly in major cities like Oslo, Bergen, and Stavanger. Secondly, the need to improve connectivity within and between these cities, including enhancing road networks and railway systems, is driving substantial construction activity. Finally, the ongoing development of port and inland waterway infrastructure supports the country's trade and economic growth, further fueling market expansion. However, the market faces certain challenges. Supply chain disruptions, rising material costs, and skilled labor shortages represent significant headwinds. Furthermore, stringent environmental regulations and permitting processes can potentially delay project timelines. Despite these restraints, the long-term outlook remains positive, with continued government support for infrastructure development and a strong emphasis on sustainable and resilient transportation solutions solidifying the market's growth trajectory. Key players like WSP, Webuild, NCC, Ramboll Group, and others are well-positioned to benefit from this expansion, actively competing for major projects across various segments including roadways, railways, airports, ports, and inland waterways. The focus on urban transportation within key cities and an increase in public-private partnerships are also expected to contribute significantly to the market's expansion in the coming years. This comprehensive report provides a detailed analysis of the Norway transportation infrastructure construction market, covering the period from 2019 to 2033. With a base year of 2025 and an estimated market size of XXX Million, this study offers invaluable insights into market trends, growth drivers, challenges, and key players shaping this dynamic sector. The report utilizes data from the historical period (2019-2024) and projects market growth until 2033, providing a robust forecast for investors, industry stakeholders, and policymakers. Key focus areas include roadways, railways, airports, ports and inland waterways infrastructure development across major cities like Oslo, Stavanger, and Bergen. Key drivers for this market are: Increasing Adoption of Remote and Hybrid Work Model. Potential restraints include: Lack of Privacy. Notable trends are: Increasing Construction of Large-Scale Projects.

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.

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.

About this dataset

Context

The dataset tabulates the Norway town household income by gender. The dataset can be utilized to understand the gender-based income distribution of Norway town 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, New York annual median income by work experience and sex dataset : Aged 15+, 2010-2022 (in 2022 inflation-adjusted dollars)
• Norway, New York annual income distribution by work experience and gender dataset (Number of individuals ages 15+ with income, 2021)

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 town income distribution by gender. You can refer the same here

Detached houses were the most common dwelling type in Norway. In 2023, there were roughly *** million detached houses in the country, while the number of multi-dwellings was approximately *******. Multi-dwelling homes is the property type that has experienced the fastest price growth since 2015. How many new buildings were started? As of 2019, nearly ** thousand new residential buildings had been started in Norway. This was a decrease, when compared to the year before, but still an increase from 2008, when the corresponding figures were approximately ** thousand new buildings started. The number peaked in 2016, when over ** thousand new dwelling buildings had been started.  How much does it cost to buy a dwelling in Norwegian cities?  A report from 2022 investigated dwelling prices in some major Norwegian cities. The average price per square meter turned out to be the highest in the capital, Oslo, amounting to over ****** Norwegian kroner. The Northern city of Tromsø was second in the ranking, followed by Bergen and Trondheim.

The Norway Transportation Infrastructure Construction market, valued at approximately $X million in 2025, is poised for robust growth, exhibiting a Compound Annual Growth Rate (CAGR) exceeding 4% through 2033. This expansion is driven by several key factors. Firstly, Norway's commitment to sustainable transportation and its significant investments in upgrading and expanding its existing infrastructure networks are crucial drivers. Government initiatives focused on improving road connectivity, enhancing rail networks for passenger and freight transport, modernizing airports to accommodate increasing air travel, and developing efficient port and inland waterway systems are fueling market growth. Secondly, a growing population and expanding economy necessitate improved transportation infrastructure to manage increased traffic volumes and support economic activity. Finally, the country's focus on reducing carbon emissions and adopting environmentally friendly construction methods contributes positively to the market, creating demand for sustainable infrastructure projects. The market is segmented by mode of transport (roadways, railways, airports, ports and inland waterways) and key cities (Oslo, Stavanger, Bergen). Roadway projects likely dominate the market share due to extensive road networks needing upgrades and expansion. However, significant investments in rail modernization and airport infrastructure development will ensure substantial growth within those segments as well. Key players like Webuild, Skanska, ACCIONA, and others are actively involved in these projects, contributing to the competitive landscape. While factors such as fluctuating material costs and potential labor shortages may pose challenges, the overall positive outlook for the Norwegian economy and the government's continued investment in infrastructure projects are expected to propel market expansion throughout the forecast period. The strategic focus on sustainable and innovative construction technologies will further shape this dynamic market. Recent developments include: October 2021: Skanska (leading project development and construction group) has signed a contract with Vestland County Council to construct a new tunnel in Kvinnherad municipality, Norway. The cost of the project accounted for EUR 29 million. The main aim of this project is to provide landslide protection to the road between the Folgefonn tunnel and Årsnes. The project is expected to complete by 2024., September 2021: Webuild (an Italian industrial group specializing in the construction and civil engineering business), part of the Sotra Link consortium, has won a contract worth more than EUR 1 billion to build and manage the RV.555 Sotra Connection PPP Project, a network of roads, tunnels, bridges and viaducts in the western Norwegian county of Vestland., July 2021: NCC (one of the leading construction companies in the Nordics) and Bane NOR, the state-owned company responsible for the Norwegian national railway infrastructure, have signed an agreement to convert the Drammen railway station area in Norway. The value of the project is more than SEK 1.9 billion. The project construction includes building platforms, pedestrian underpasses, a waterfront promenade, and parts of a new city bridge spanning the track area.. Notable trends are: Increasing Construction of Large-Scale Projects.