In 2023, approximately ******* people lived in Stockholm, making it not only the capital, but also the biggest city in Sweden. The second biggest city, Gothenburg (Göteborg) had about half as many inhabitants, with about ******* people. Move to the citySweden is a country with a very high urbanization rate, the likes of which is usually only seen in countries with large uninhabitable areas, such as Australia, or in nations with very little rural landscape and agrarian structures, like Cuba. So why do so few Swedes live in rural areas, even though based on total area, the country is one of the largest in Europe? The total population figures are the answer to this question, as Sweden has only about 10.3 million inhabitants as of 2018 – that’s only 25 inhabitants per square kilometer. Rural exodus or just par for the course?It is no mystery why most Swedes flock to the cities: Jobs, of course. Over 65 percent of Sweden’s gross domestic product is generated by the services sector, and agriculture only contributes about one percent to the GDP. Employment mirrors this, with 80 percent of the workforce being deployed in services, namely in foreign trade, telecommunications, and manufacturing, among other industries.

Sweden SE: Population in Largest City data was reported at 1,553,180.000 Person in 2017. This records an increase from the previous number of 1,523,953.000 Person for 2016. Sweden SE: Population in Largest City data is updated yearly, averaging 1,058,018.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 1,553,180.000 Person in 2017 and a record low of 804,595.000 Person in 1960. Sweden SE: Population in Largest City data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sweden – Table SE.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.; ;

Sweden SE: Population in Largest City: as % of Urban Population data was reported at 17.703 % in 2017. This records an increase from the previous number of 17.683 % for 2016. Sweden SE: Population in Largest City: as % of Urban Population data is updated yearly, averaging 15.683 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 17.703 % in 2017 and a record low of 14.346 % in 1981. Sweden SE: 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 Sweden – Table SE.World Bank: 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;

Population in the largest city (% of urban population) in Sweden was reported at 18.28 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Sweden - Population in the largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Stockholm was ranked as the best city for startups in Sweden in 2023, with a total score of *****. Malmö followed in second with a score of ****, followed by Gothenburg. That year, Sweden was ranked as the second best country for startups in Europe and the fifth best worldwide.

Of the total population in Sweden of 10.55 million people, around half resided in the counties Stockholm, Västra Götaland or Skåne. This is also the three counties where the three largest cities in Sweden, Stockholm, Göteborg, and Malmö, are located. In the capital region Stockholm county, there lived nearly 2.5 million inhabitants in 2023. Västra Götaland county had close to 1.8 million inhabitants, while Skåne county, the southernmost region, had roughly 1.4 million inhabitants. The island Gotland had the lowest number of inhabitants with only 60,000.

The highest population density

Stockholm, Skåne and Västra Götaland were also the three counties in Sweden with the highest population density. In 2022, 374.6 inhabitants per square kilometer lived in Stockholm county, while the corresponding figures for Skåne and Västra Götaland were 129 and 73.9, respectively.

The highest rents

Unsurprisingly. Stockholm county is the county in Sweden with the highest rents for rented dwellings, with average prices for one square meter amounting to over 1,400 Swedish kronor in 2022. The lowest average renting prices were in the northwestern region Jämtland, one square meter costing 1,000 Swedish kronor.

This horizontal bar chart displays birth rate (per 1,000 people) by capital city using the aggregation average, weighted by population in Sweden. The data is about countries per year.

According to a 2019 report, findings show that online shopping behavior in the combined categories of pharmaceutical and beauty goods differed in the three largest cities of Sweden, namely Stockholm, Gothenburg and Malmö, compared to the rest of the country. Bigger cities shared showed a higher preference for online purchases of both beauty and pharmaceutical goods at ** percent compared to rest of the country at ** percent. When it came to beauty goods alone, big cities took the lead by ** percent over the rest of Sweden. Pharmacy goods also saw a similar purchase popularity online, with slightly over one fifth of all Swedes purchasing them.

This horizontal bar chart displays death rate (per 1,000 people) by capital city using the aggregation average, weighted by population in Sweden. The data is about countries per year.

This horizontal bar chart displays rural land area (km²) by capital city using the aggregation sum in Sweden. The data is about countries per year.

Sweden's Transportation Infrastructure Construction Market Report is Segmented by Mode (Roadways, Railways, Airports, Ports, and Inland Waterways) and Key Cities (Stockholm, Gothenburg, Malmö, and Other Cities). The Report Offers Market Size and Forecasts for Sweden's Transportation Infrastructure Construction Market in Value (USD) for all the Above Segments.

GIS-datasets for the Street networks of Stockholm, Gothenburg and Eskilstuna produced as part of the Spatial Morphology Lab (SMoL).

The goal of the SMoL project is to develop a strong theory and methodology for urban planning & design research with an analytical approach. Three frequently recurring variables of spatial urban form are studied that together quite well capture and describe the central characteristics and qualities of the built environment: density, diversity and proximity.

The first measure describes how intensive a place can be used depending on how much built up area is found there. The second measure captures how differentiated the use of a place can be depending on the division in smaller units such as plots. The third measure describes how accessible a place is depending on how it relates with other places. Empirical studies have shown strong links between these metrics and people's use of cities such as pedestrian movement patterns.

To support this goal, a central objective of the project is the establishment of an international platform of GIS data models for comparative studies in spatial urban form comprising three European capitals: London in the UK, Amsterdam in the Netherlands and Stockholm in Sweden, as well as two additional Swedish cities of smaller size than Stockholm: Gothenburg and Eskilstuna.

The result of the project is a GIS database for the five cities covering the three basic layers of urban form: street network (motorised and non-motorised), buildings and plots systems.

The data is shared via SND to create a research infrastructure that is open to new study initiatives. The datasets for Amsterdam will also be uploaded to SND. The datasets of London cannot be uploaded because of licensing restrictions.

The street network GIS-maps include motorised and non-motorised networks. The motorised networks exclude all streets that are pedestrian-only and were cars are excluded. The network layers are based on the Swedish national road database, NVDB (Nationell Vägdatabas), downloaded from Trafikverket (https://lastkajen.trafikverket.se, date of download 15-5-2016, last update 8-11-2015). The original road-centre-line maps of all cities were edited based on the same basic representational principles and were converted into line-segment maps, using the following software: FME, Mapinfo professional and PST (Place Syntax Tool). The coordinate system is SWEREF99TM. In the final line-segment maps (GIS-layers) all roads are represented with one line irrespectively of the number of lanes, except from Motorways and Highways which are represented with two lines, one for each direction, again irrespectively of the number of lanes. We followed the same editing and generalizing procedure for all maps aiming to remove errors and to increase comparability between networks. This process included removing duplicate and isolated lines, snapping and generalizing. The snapping threshold used was 2m (end points closer than 2m were snapped together). The generalizing threshold used was 1m (successive line segments with angular deviation less than 1m were merged into one). In the final editing step, all road polylines were segmented to their constituting line-segments. The aim was to create appropriate line-segment maps to be analysed using Angular Segment Analysis, a network centrality analysis method introduced in Space Syntax.

All network layers are complemented with an “Unlink points” layer; a GIS point layer with the locations of all non-level intersections, such as overpasses and underpasses, bridges, tunnels, flyovers and the like. The Unlink point layer is necessary to conduct network analysis that takes into account the non-planarity of the street network, using such software as PST (Place Syntax Tool).

The total population of Sweden was estimated at about 10.59 million people in 2024. Between 1980 and 2024, the total population rose by approximately 2.27 million people, though the increase followed an uneven trajectory rather than a consistent upward trend. The total population will steadily rise by around 460 thousand people over the period from 2024 to 2030, reflecting a clear upward trend.This indicator describes the total population in the country at hand. This total population of the country consists of all persons falling within the scope of the census.

GIS-datasets for the Street networks of Stockholm, Gothenburg and Eskilstuna produced as part of the Spatial Morphology Lab (SMoL).

The goal of the SMoL project is to develop a strong theory and methodology for urban planning & design research with an analytical approach. Three frequently recurring variables of spatial urban form are studied that together quite well capture and describe the central characteristics and qualities of the built environment: density, diversity and proximity.

The first measure describes how intensive a place can be used depending on how much built up area is found there. The second measure captures how differentiated the use of a place can be depending on the division in smaller units such as plots. The third measure describes how accessible a place is depending on how it relates with other places. Empirical studies have shown strong links between these metrics and people's use of cities such as pedestrian movement patterns.

To support this goal, a central objective of the project is the establishment of an international platform of GIS data models for comparative studies in spatial urban form comprising three European capitals: London in the UK, Amsterdam in the Netherlands and Stockholm in Sweden, as well as two additional Swedish cities of smaller size than Stockholm: Gothenburg and Eskilstuna.

The result of the project is a GIS database for the five cities covering the three basic layers of urban form: street network (motorised and non-motorised), buildings and plots systems.

The data is shared via SND to create a research infrastructure that is open to new study initiatives. The datasets for Amsterdam will also be uploaded to SND. The datasets of London cannot be uploaded because of licensing restrictions.

The street network GIS-maps include motorised and non-motorised networks. The non-motorized networks include all streets and paths that are accessible for people walking or cycling, including those that are shared with vehicles. All streets where walking or cycling is forbidden, such as motorways, highways, or high-speed tunnels, are not included in the network.

The non-motorised network layers for Stockholm and Eskilstuna are based on the Swedish national road database, NVDB (Nationell Vägdatabas), downloaded from Trafikverket (https://lastkajen.trafikverket.se, date of download 15-5-2016, last update 8-11-2015) . For Gothenburg, it is based on Open Street Maps (openstreetmap.org, http://download.geofabrik.de, date of download 29-4-2016), because the NVDB did not provide enough detail for the non-motorized network, as in the other cities. The original road-centre-line maps of all cities were edited based on the same basic representational principles and were converted into line-segment maps, using the following software: FME, Mapinfo professional and PST (Place Syntax Tool). The coordinate system is SWEREF99TM.

In the final line-segment maps (GIS-layers) all streets or paths are represented with one line irrespectively of the number of lanes or type, meaning that parallel lines representing a street and a pedestrian or a cycle path running on the side, are reduced to one line. The reason is that these parallel lines are nor physically or perceptually separated, and thus are accessible and recognized from pedestrians as one “line of movement” in the street network. If there are obstacles or great distance between parallel streets and paths, then the multiple lines remain. The aim is to make a skeletal network that better represents the total space, which is accessible for pedestrians to move, irrespectively of the typical separations or distinctions of streets and paths. This representational choice follows the Space Syntax methodology in representing the public space and the street network.

We followed the same editing and generalizing procedure for all maps aiming to remove errors and to increase comparability between networks. This process included removing duplicate and isolated lines, snapping and generalizing. The snapping threshold used was 2m (end points closer than 2m were snapped together). The generalizing threshold used was 1m (successive line segments with angular deviation less than 1m were merged into one). In the final editing step, all road polylines were segmented to their constituting line-segments. The aim was to create appropriate line-segment maps to be analysed using Angular Segment Analysis, a network centrality analysis method introduced in Space Syntax.

All network layers are complemented with an “Unlink points” layer; a GIS point layer with the locations of all non-level intersections, such as pedestrian bridges and tunnels. The Unlink point layer is necessary to conduct network analysis that takes into account the non-planarity of the street network, using such software as PST (Place Syntax Tool).

For more detailed documentation on the creation of the non-motorised network of Gothenburg, please download the specific doc

Shared mobility fleets in Swedish cities were dominated by scooters in 2022. Helsingborg has one of the largest scooter fleets by population, with *** scooters per 10,000 inhabitants as well as ** free-floating bikes per 10,000 inhabitants.

The Sweden Luxury Residential Real Estate Market Report is Segmented by Property Type (Apartments and Condominiums, and Villas and Landed Houses), by Business Model (Sales and Rental), by Mode of Sale (Primary (New-Build) and Secondary (Existing-Home Resale)), and by City (Stockholm, Gothenburg, Malmö, Uppsala and Other Cities). The Market Forecasts are Provided in Terms of Value (USD).

About this dataset

Context

The dataset tabulates the New Sweden town household income by age. The dataset can be utilized to understand the age-based income distribution of New Sweden 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).

• New Sweden, Maine annual median income by age groups dataset (in 2022 inflation-adjusted dollars)
• Age-wise distribution of New Sweden, Maine 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 New Sweden town income distribution by age. You can refer the same here

SE：最大城市人口在12-01-2017达1,553,180.000人，相较于12-01-2016的1,523,953.000人有所增长。SE：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1,058,018.000人，共58份观测结果。该数据的历史最高值出现于12-01-2017，达1,553,180.000人，而历史最低值则出现于12-01-1960，为804,595.000人。CEIC提供的SE：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瑞典 – 表 SE.世行.WDI：人口和城市化进程统计。

The aim of this study is to throw light on why inequality in the distribution of income in Sweden fell from the mid-1920s to the second part of the 1950s. For this reason the project decided to collect income information referring to different years from a sample of households for one Swedish city. A database was created by coding tax records and other documents for the city of Göteborg, the second largest city in Sweden.

The determination of which years to investigate was critical. For analysing changes over time it was thought as essential to have roughly equal numbers of years between years studied. Further, it was thought advisable to avoid years with too much macroeconomic turmoil as well as the years of the two World Wars. Balancing the resources for the data collection between the size of a sub sample and the number of subsamples, it was decided to assemble data for four years. The years 1925, 1936, 1947 and 1958 was chosen to investigate. It should be pointed out that the year 1947 was preferred to the following years as large social insurance reforms leading to increases in pension benefits and the introduction of child allowances were put in effect in 1948.

Household is defined from registers kept in the archives (Mantalslängder). A household is defined as persons with the same surname living in the same apartment or single-family house. This means that there can be people belonging to more than two generations in the same household; siblings living together can make up a household as well. Foster children are included as long as they are registred at the same address. Adult children are considered to be living in the household of their parents as long as they are registred at the same address. In almost all cases, servants and tenants not belonging to the household are treated as separate households.

SE：最大城市人口占城市总人口的百分比在12-01-2017达17.703%，相较于12-01-2016的17.683%有所增长。SE：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15.683%，共58份观测结果。该数据的历史最高值出现于12-01-2017，达17.703%，而历史最低值则出现于12-01-1981，为14.346%。CEIC提供的SE：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Global Database的瑞典 – 表 SE.世界银行：人口和城市化进程统计。