This statistic shows the ten biggest cities in Switzerland, as of 2020, by number of inhabitants. In 2020, Zurich was Switzerland's most-populous city with approximately 421,878 inhabitants. See Switzerland's population figures for comparison.

Population in largest city in Switzerland was reported at 1443349 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Switzerland - Population in largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Switzerland Population in Largest City data was reported at 1,356,037.000 Person in 2017. This records an increase from the previous number of 1,341,453.000 Person for 2016. Switzerland Population in Largest City data is updated yearly, averaging 951,846.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 1,356,037.000 Person in 2017 and a record low of 535,471.000 Person in 1960. Switzerland Population in Largest City data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Switzerland – Table CH.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.; ;

Settlement development of the largest Swiss cities. Map types: Symbols, Choropleths. Spatial extent: Switzerland. Time: before 1850 up to present

Switzerland Population in Largest City: as % of Urban Population data was reported at 20.309 % in 2017. This records a decrease from the previous number of 20.328 % for 2016. Switzerland Population in Largest City: as % of Urban Population data is updated yearly, averaging 20.220 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 20.747 % in 2007 and a record low of 19.215 % in 1963. Switzerland 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 Switzerland – Table CH.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 Switzerland was reported at 21.74 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Switzerland - Population in the largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

The data collected on members of the local elites of the three largest city-regions (Basel, Geneva and Zurich) are integrated in the more general OBELIS database on Swiss Elites. Currently, the OBELIS database includes elites from four sectors at the national level: Economic, Political, Administrative and Academic (+ national sociability associations) and covers nine dates: 1890, 1910, 1937, 1957, 1980, 2000, 2010, 2015 and 2020. The elite status of individuals is defined by the position/function held in these four spheres at the date mentioned. A description of all the different samples of the Swiss elites can be consulted on the website. The data allows researchers to understand the elites through a relational analysis (network analysis) to highlight the interrelations between these elites. The data is also suitable to conduct prosopographical analysis. As for national elites, the identification of local elites of the three largest Swiss city-regions also follows a positional approach by selecting all individuals occupying leading positions in the major local economic, political, cultural and academic institutions for the 7 benchmark years: 1890, 1910, 1937, 1957, 1980, 2000 and 2020. For the economic sphere we collected information on all the committee members of the regional chambers of commerce as well as directors of the most important companies of the three cities’ leading economic sectors. This includes the major banks and insurance companies for the financial sector; for Basel, all the major textile (until 1937) and chemical-pharmaceutical companies; for Geneva, the major watch-making companies, as well as a few other industrial companies; and for Zurich, all the major companies from the machine industry. The total number of companies varies from 49 in 1890 to 35 in 2020. The smaller sample for the recent period is due to the strong concentration process in all economic sectors, involving mergers and acquisitions as well as bankruptcies. For these companies, all CEOs/general directors and directors’ board members were taken into account. For the political sphere, we included all members of the cantonal (regional) and local (city) parliaments and governments for Geneva and Zurich, whereas in Basel, where the city’s territory fully coincides with the canton, only the members of the cantonal parliament and government were considered. For the academic sphere we include all full and extraordinary (associate) professors of the three cities’ universities until 1957, and, for the more recent dates, a selection of professors according to the occupation of institutional positions or according to their scientific reputation. Finally, the committee members of the three cities’ fine art societies are included as urban elites from the cultural sphere.

About this dataset

Context

This list ranks the 2 cities in the Switzerland County, IN by Multi-Racial Black or African American population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Multi-Racial Black Population: This column displays the rank of cities in the Switzerland County, IN by their Multi-Racial Black or African American population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Multi-Racial Black Population: The Multi-Racial Black population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Multi-Racial Black. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Switzerland County Multi-Racial Black Population: This tells us how much of the entire Switzerland County, IN Multi-Racial Black population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

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/.

About this dataset

Context

The dataset tabulates the Swiss town population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Swiss town. The dataset can be utilized to understand the population distribution of Swiss town by age. For example, using this dataset, we can identify the largest age group in Swiss town.

Key observations

The largest age group in Swiss, Wisconsin was for the group of age 65 to 69 years years with a population of 111 (14.76%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Swiss, Wisconsin was the Under 5 years years with a population of 11 (1.46%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Swiss town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Swiss town total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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/.

Recommended for further research

This dataset is a part of the main dataset for Swiss town Population by Age. You can refer the same here

In 2023, the average rent in Swiss cities ranged between 15 Swiss franks per square meter and 36 Swiss franks per square meter. In the fourth quarter of 2023, Zurich had the highest rent, at 36.5 Swiss franks per square meter. In 2023, Switzerland was the country with the highest share of population living in rented housing in Europe.

The Swiss Städtekonferenz Mobilität (transl: City Conference on Mobility) publishes a "Städtevergleich Mobilität" (transl: City comparison on mobility) for the six biggest German-speaking Swiss cities (Basel, Bern, Luzern, St.Gallen, Winterthur and Zürich), every couple of years. It is based on combining federal data and data the cities collect themselves. The reports are published here: https://skm-cvm.ch/de/Info/Fakten/Stadtevergleich_Mobilitat

Every year, modal shares between cities are reported. Currently reported years are 2010, 2015, 2021. Modal shares are calculated as the percentages of the main mode of transport per trip ("Hauptverkehrsmittel pro Weg", p. 18 of report for 2021).

This repository provides a dataset, which is a manual transcription of modal shares reported on page 18 of the report for 2021 to make modal share data available in CSV format. The original report is attached as well. The repository contains the following files:

• modal_shares_staedtevergleich.csv: The modal shares dataset (CSV file)
• variables.csv: Variable descriptions for modal_shares_staedtevergleich.csv (CSV file)
• staedtevergleich_2021_231030.pdf: PDF report (original data source) retrieved on 15.5.2025 from https://skm-cvm.ch/de/Info/Fakten/Stadtevergleich_Mobilitat

In 2023, the average rent for apartments and houses in Switzerland peaked at 23 Swiss francs per square meter. That was an increase from 21.57 Swiss francs per square meter in 2022 and the largest rise since 2017. In 2023, Zurich and Geneva were the Swiss cities with the highest rents.

This horizontal bar chart displays population (people) by capital city using the aggregation sum in Switzerland. The data is filtered where the date is 2021. The data is about countries per year.

About this dataset

Context

This list ranks the 2 cities in the Switzerland County, IN by Native Hawaiian and Other Pacific Islander (NHPI) population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Pacific Islander Population: This column displays the rank of cities in the Switzerland County, IN by their Native Hawaiian and Other Pacific Islander (NHPI) population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Pacific Islander Population: The Pacific Islander population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Pacific Islander. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Switzerland County Pacific Islander Population: This tells us how much of the entire Switzerland County, IN Pacific Islander population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

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/.

This statistic illustrates the European cities in the DACH region (Germany, Austria and Switzerland), for their annual rental yields as of 2016. It can be seen that Berlin, in Germany, had the largest annual rental yield, with a return of 4.9 percent at that time. Frankfurt (Germany) and Linz (Austria) completed the top three, with annual rental yields of 4.1 percent and 3.4 percent respectively as of 2016.

About this dataset

Context

This list ranks the 2 cities in the Switzerland County, IN by Multi-Racial Some Other Race (SOR) population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Multi-Racial Other Race Population: This column displays the rank of cities in the Switzerland County, IN by their Multi-Racial Some Other Race (SOR) population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Multi-Racial Other Race Population: The Multi-Racial Other Race population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Multi-Racial Other Race. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Switzerland County Multi-Racial Other Race Population: This tells us how much of the entire Switzerland County, IN Multi-Racial Other Race population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

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/.

This horizontal bar chart displays health expenditure (% of GDP) by capital city using the aggregation average, weighted by gdp in Switzerland. The data is filtered where the date is 2021. The data is about countries per year.

Based on a wide variety of categories, the top major global smart cities were ranked using an index score, where a top index score of 10 was possible. Scores were based on various different categories including transport and mobility, sustainability, governance, innovation economy, digitalization, living standard, and expert perception. In more detail, the index also includes provision of smart parking and mobility, recycling rates, and blockchain ecosystem among other factors that can improve the standard of living. In 2019, Zurich, Switzerland was ranked first, achieving an overall index score of 7.75. Spending on smart city technology is projected to increase in the future.

Smart city applications Smart cities use data and digital technology to improve the quality of life, while changing the nature and economics of infrastructure. However, the definition of smart cities can vary widely and is based on the dynamic needs of a cities’ citizens. Mobility seems to be the most important smart city application for many cities, especially in European cities. For example, e-hailing services are available in most leading smart cities. The deployment of smart technologies that will incorporate mobility, utilities, health, security, and housing and community engagement will be important priorities in the future of smart cities.

In April 2025, the canton of Jura had the highest unemployment rate in Switzerland at around 4.8 percent. Geneva followed in second place with an unemployment rate of 4.7 percent.

List of all administrative units and departments (including ‘publisher suffix’ = organisation’s URL slug) that publish open government data (OGD) through cantonal metadata management (MDV) up to the specified date. This does not apply to authorities that publish only open spatial data, as they are not provided via the MDV, but via the cantonal spatial data infrastructure (Geoinformation Canton of Zurich). The city of Zurich as the largest municipal OGD publishing body in the canton is also excluded because it has its own OGD metadata infrastructure (Open Data Zurich). Note: All OGDs provided via the MDV have a permanent URL (permalink) both in the public cantonal data catalog (zh.ch/daten) and in the central portal for open data of the Swiss authorities (opendata.swiss): The ‘publisher suffix’ of the organisation, which holds data sovereignty over the corresponding data, together with a numeric ID, forms the unique URL slug of the metadata record.