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 August 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.; ;

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 21.5 % 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 August of 2025.

About this dataset

Context

This list ranks the 2 cities in the Switzerland County, IN by Multi-Racial White 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 White Population: This column displays the rank of cities in the Switzerland County, IN by their Multi-Racial White population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Multi-Racial White Population: The Multi-Racial White 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 White. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Switzerland County Multi-Racial White Population: This tells us how much of the entire Switzerland County, IN Multi-Racial White 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

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/.

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

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/.

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

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 ** 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 ****. 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.

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.

In this paper we explore how policy discourses on urban sustainability impact the governing of urban food gardening in favoring community gardens. Our main hypothesis is that community gardens better accommodate the tensions created by the discourses of the compact and green city compared to other types of food gardening, especially allotment gardens. In the context of the Swiss cities of Lausanne and Zurich, analysis of policy documents confirms this hypothesis by identifying four frames that orient policies toward favoring community gardening: (i) Adapting green space planning to densification favors community gardening with their modest, flexible and multifunctional design, (ii) Revaluating the role of urban food gardening in urban sustainability represents community gardening as a new multifunctional benchmark, (iii) Reorganizing urban food gardening fosters diversity in gardening opportunities which in turn supports a variety of forms of community gardening, (iv) Justifying urban food gardening through public values and needs supports community gardening with their cost-efficient green space management, lower land management and more active citizen participation. In this vein, urban policymakers continually turn to community gardens as a strategic urban planning tool that gives urban green space greater legitimacy in the wake of the densifying city. Overall, urban food gardens continue to be negotiated between space-related marginalization and socio-political significance serving different needs to urban citizens. This results in the need of a more sophisticated planning approach considering different types of urban gardens related to their location in the built city, associated functions, and user groups.

Many countries have some kind of energy-system transformation either planned or ongoing for various reasons, such as to curb carbon emissions or to compensate for the phasing out of nuclear energy. One important component of these transformations is the overall reduction in energy demand. It is generally acknowledged that the domestic sector represents a large share of total energy consumption in many countries. Increased energy efficiency is one factor that reduces energy demand, but behavioral approaches (known as “sufficiency”) and their respective interventions also play important roles. In this paper, we address citizens’ heterogeneity regarding both their current behaviors and their willingness to realize their sufficiency potentials—that is, to reduce their energy consumption through behavioral change. We collaborated with three Swiss cities for this study. A survey conducted in the three cities yielded thematic sets of energy-consumption behavior that various groups of participants rated differently. Using this data, we identified four groups of participants with different patterns of both current behaviors and sufficiency potentials. The paper discusses intervention types and addresses citizens’ heterogeneity and behaviors from a city-based perspective.

Malaysia Tourist Arrival: Sightseeing In Cities: Switzerland data was reported at 94.600 % in 2015. This records an increase from the previous number of 80.200 % for 2014. Malaysia Tourist Arrival: Sightseeing In Cities: Switzerland data is updated yearly, averaging 82.200 % from Dec 2001 (Median) to 2015, with 15 observations. The data reached an all-time high of 94.600 % in 2015 and a record low of 37.300 % in 2003. Malaysia Tourist Arrival: Sightseeing In Cities: Switzerland 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.

In 2023, the average rent for apartments and houses in Switzerland peaked at ** Swiss francs per square meter. That was an increase from ***** 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.

The dataset contains the population of the resident population at the end of the corresponding month. The resident population includes:- the permanent resident population at the main residence: all persons who are registered with their main residence in the city of St.Gallen and have Swiss citizenship or a foreign citizenship with a residence or settlement permit - the non-permanent foreign resident population: foreign nationals with a short-stay permit, temporarily admitted persons, persons in need of protection and applicants for asylum as far as they are registered with the municipal population control - persons with a secondary residence (so-called "weekly residents"): registered residents in the city of St.Gallen with a main residence elsewhere in Switzerland or abroad. A secondary residence is usually established in connection with a job or a visit to a training institution in the city of St.Gallen. It is based on data from the Population Services of the City of St.Gallen (processed under the name "STADTSGPOP" by the Statistical Office).

Abstract copyright UK Data Service and data collection copyright owner.The European State Finance Database (ESFD) is an international collaborative research project for the collection of data in European fiscal history. There are no strict geographical or chronological boundaries to the collection, although data for this collection comprise the period between c.1200 to c.1815. The purpose of the ESFD was to establish a significant database of European financial and fiscal records. The data are drawn from the main extant sources of a number of European countries, as the evidence and the state of scholarship permit. The aim was to collect the data made available by scholars, whether drawing upon their published or unpublished archival research, or from other published material. The ESFD project at the University of Leicester serves also to assist scholars working with the data by providing statistical manipulations of data and high quality graphical outputs for publication. The broad aim of the project was to act as a facilitator for a general methodological and statistical advance in the area of European fiscal history, with data capture and the interpretation of data in key publications as the measurable indicators of that advance. The data were originally deposited at the UK Data Archive in SAS transport format and as ASCII files; however, data files in this new edition have been saved as tab delimited files. Furthermore, this new edition features documentation in the form of a single file containing essential data file metadata, source details and notes of interest for particular files. Main Topics: The files in this dataset relate to the datafiles in the Leicester database held in the directory /korner/.. File Information g124sid1. Ordinary revenues of the Swiss towns, 1501-1611 g124sid2. Growth of public debts and loans of nine Swiss towns, 1501-1611 g124sid3. Growth of interests on loans and life rents at Bale, 1501-1611 g124sid4. Revenue to the state of Luzern from wine, 1421-1798 g124sid5.* Revenue and expenditure of the city and state of Lucerne, 1430-1795 Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

About this dataset

Context

This list ranks the 2 cities in the Switzerland County, IN by Hispanic 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 Hispanic Black Population: This column displays the rank of cities in the Switzerland County, IN by their Hispanic 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.
• Hispanic Black Population: The Hispanic 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 Hispanic Black. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Switzerland County Hispanic Black Population: This tells us how much of the entire Switzerland County, IN Hispanic 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/.

CH：最大城市人口在12-01-2017达1,356,037.000人，相较于12-01-2016的1,341,453.000人有所增长。CH：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951,846.500人，共58份观测结果。该数据的历史最高值出现于12-01-2017，达1,356,037.000人，而历史最低值则出现于12-01-1960，为535,471.000人。CEIC提供的CH：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士 – 表 CH.世行.WDI：人口和城市化进程统计。