In 2023, approximately 988,943 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 596,840 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.

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 38 percent compared to rest of the country at 33 percent. When it came to beauty goods alone, big cities took the lead by 20 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.

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.

About this dataset

Context

The dataset tabulates the Sweden town median household income by race. The dataset can be utilized to understand the racial distribution of 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).

• Sweden, Maine median household income breakdown by race betwen 2011 and 2021
• Median Household Income by Racial Categories in Sweden, 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 Sweden town median household income by race. You can refer the same here

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).

About this dataset

Context

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

• Sweden, Maine annual median income by work experience and sex dataset : Aged 15+, 2010-2022 (in 2022 inflation-adjusted dollars)
• Sweden, Maine 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 Sweden town income distribution by gender. You can refer the same here

Shared mobility fleets in Swedish cities were dominated by scooters in 2022. Helsingborg has one of the largest scooter fleets by population, with 157 scooters per 10,000 inhabitants as well as 23 free-floating bikes per 10,000 inhabitants.

This survey deals with radio listening, with special emphasis given to local broadcastings, and especially the local radio channel City 103. This channel is owned by the Swedish Employers' Confederation and started in autumn 1988. Its major content is modern hit list music together with news, local information and slogans from the Swedish Employers' Confederation. Questions were also asked about newspaper reading, leisure-time activities and opinions on radio.

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.

Purpose:

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

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

The purpose of this project was to investigate what influence the development pattern in the cities and towns have for citizens' transportation needs, selection of transport and energy use for transportation. This issue is addressed through five empirical studies that cover different geographical levels: - A comprehensive study of 22 Nordic towns - An extensive, but not so in-depth study of the 97 largest cities in Sweden - A study of commuting areas around 15 Swedish cities - A study of households in 30 residential areas in Oslo - A survey of employees at six workplaces in Oslo.

This dataset includes data from the first study, a comprehensive study of 22 nordic towns.

About this dataset

Context

The dataset tabulates the Sweden township median household income by race. The dataset can be utilized to understand the racial distribution of Sweden township 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).

• Sweden Township, Pennsylvania median household income breakdown by race betwen 2011 and 2021
• Median Household Income by Racial Categories in Sweden Township, Pennsylvania (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 Sweden township median household income by race. You can refer the same here

In a survey from 2024, 33 percent of Swedes meant that they had stayed in mid-priced hotels in one of the big Swedish cities. This was followed by 16 percent staying in accommodations in foreign countries, as well as 16 percent preferring mid-priced hotels elsewhere in Sweden.

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。

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。

In the fall semester of 2023, 383,000 students were registered in universities and other higher education institutions in Sweden. The number of students remained relatively stable until 2018, and rose sharply in 2020 as many chose to take up studies during the COVID-19 pandemic. Around 60 percent of the higher education students in Sweden are women. Financial aid for studies Sweden has a long tradition of state financial aid for students. Swedish students can apply for both student grants and loans at a low interest rate, or apply only for subsidies but no loans. The financial aid for students is managed by the Swedish Board of Student Finance (CSN). In 2021, more than 207,000 students in Sweden received both subsidies and loans. Moreover, there are no tuition fees at universities and high schools in Sweden. Stockholm largest university The Stockholm University had the highest number of registered students in Sweden in 2022, followed by the Uppsala University and the University of Gothenburg. Stockholm University is ranked among the world’s top 100 universities and located in the Swedish capital, which is also the largest city in Sweden.

The Swedish capital Stockholm has the largest population of the five Nordic capitals with 2.46 million inhabitants. This is unsurprising as Sweden also is the Nordic country with the largest population. The capital area of Copenhagen is slightly larger than that of Helsinki, whereas Iceland's capital Reykjavik had the smallest population with 244,000 inhabitants. Oslo's rapid population decline in 2024 is explained by only the numbers for Oslo municipality being reported.

This statistic displays the online grocery shopping penetration in Sweden in 2016 and 2017, by city size. Overall, the online grocery shopping became more popular in 2017. While 26 percent of the respondents from the biggest cities shopped food online in 2016, the percentage increased to 38 percent as of 2017.

As of the fall semester of 2023, Stockholm University was the largest university in Sweden in terms of registered students. 37,000 students were registered at the university in the Swedish capital. The University of Gothenburg was the second largest, followed by Uppsala University. 383,000 students were registered at universities and other higher education institutions in Sweden in 2023. Stockholm University is ranked among the world’s top 100 universities. High share of the population with higher education degrees A high number of the Swedish population has a higher education. This goes especially for women, where almost 30 percent has a post-secondary education of three years or more. The share of men with this is just below 20 percent. Long tradition of state financial aid Swedish residents who are studying can apply for student grants, and loans with a low interest rate. Over 200,000 students in Sweden received both subsidies and loans in 2021. Furthermore, students in Sweden do not have to pay tuition fees.

As of 2023, ICA Gruppen AB had, based on sales, a market share of about 50 percent in Sweden. It was ahead of Axfood, Coop, Lidl and City Gross. In 2021, the Swedish grocery retail group ICA operated almost 1.3 thousand stores in the country. Most of these stores were from the ICA Nära chain, followed by ICA Supermarket, ICA Kvantum and Maxi ICA Stormarknad. Operating profit of ICA Sweden In the period from 2014 to 2021, ICA’s operating profit fluctuated slightly. It reached its peak in 2020, with an operating profit of approximately 4.2 billion Swedish kronor. Second largest player: Axfood Group From 2012 to 2021, Axfood’s operating profit in Sweden increased constantly. The grocery retailer generated its highest operating profit by the end of this period, amounting to around 2.7 billion Swedish kronor.