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;

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 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 July of 2025.

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.

The share of urban population in Switzerland saw no significant changes in 2023 in comparison to the previous year 2022 and remained at around 74.2 percent. Still, the share reached its highest value in the observed period in 2023. The urban population refers to the share of the total population living in urban centers. Each country has their own definition of what constitutes an urban center (based on population size, area, or space between dwellings, among others), therefore international comparisons may be inconsistent.

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

A dataset of grid level (500m by 500m) accessibility indicators measured in peak traffic and free flow conditions for all cities (represented by the Functional Urban Area) with more than 250 thousand people in EU27, the UK, Switzerland and Norway.

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

Switzerland Self Storage Market size was valued to be USD 10 Billion in the year 2024 and it is expected to reach USD 13.48 Billion in 2032, at a CAGR of 3.8% over the forecast period of 2026 to 2032.

Key Market Drivers: Urban Demographic Transformation: Switzerland is experiencing a profound urban demographic shift, which has a direct impact on the self-storage market. Urban populations are rapidly expanding, with projections indicating that 87% of Swiss residents live in cities by 2030. This urban concentration results in significant living space constraints, especially in major metropolitan areas such as Zurich, Geneva, and Basel. E-commerce and Business Storage Requirements: Self-storage facilities offer businesses cost-effective alternatives to traditional warehousing. The Swiss e-commerce market has grown dramatically, with a projected 22% increase in 2022. Small and medium-sized businesses now face new storage requirements due to the digital marketplace transformation.

About this dataset

Context

The dataset tabulates the population of Swiss town by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Swiss town. The dataset can be utilized to understand the population distribution of Swiss town by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Swiss town. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Swiss town.

Key observations

Largest age group (population): Male # 65-69 years (46) | Female # 65-69 years (65). 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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Swiss town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Swiss town is shown in the following column.
• Population (Female): The female population in the Swiss town is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Swiss town for each age group.

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 Gender. You can refer the same here

When using this data set, it should be bibliographically referred to as 'Urban Audit, 2004'. The Urban Audit (UA) provides European urban statistics for a representative sample of large and medium-sized cities across 30 European countries. It enables an assessment of the state of individual EU cities and provides access to comparative information from other EU cities. This spatial dataset will support the study and dissemination of the UA data. It allows the visualisation of participating cities at three conceptual levels: - UA City - the core city, using an administrative definition - UA City Kernel - a concept introduced to improve comparability between large cities - Larger Urban Zone (LUZ) - approximating the functional urban region In addition, this spatial dataset allows visualisation of a 285 participating cities at two hierarchical sublevels to analyse the disparities within cities: - Sub City Districts level 1 (SCD L1) - Sub City Districts level 2 (SCD L2) The extent of this dataset is the EU 27 (2007) plus Croatia (HR), Norway (NO) and Switzerland (CH). The URAU_2004 dataset contains a polygonal feature class for UA Cities, UA City Kernels and Large Urban Zones, derived from the geometry of the GISCO COMM_2004 dataset (based on EuroBoundary Map 2004). Polygonal feature classes for Sub City Districts are derived from the geometry of the GISCO COMM_2004 dataset (based on EuroBoundary Map 2004) or spatial data supplied by URAU delegates which has been made coincident with UA City geometry. A generalised version of each feature class allows for visualisation at the scale of 1:3 Million. UA Cities are also represented by a point topology that are derived from and synchronised with the GISCO STTL_V3 dataset of European Settlements. The UA city points are, when possible, synchronised to an Urban Fabric class in Corine Land Cover 2000.

CH：最大城市人口：占城镇人口百分比在12-01-2017达20.309%，相较于12-01-2016的20.328%有所下降。CH：最大城市人口：占城镇人口百分比数据按年更新，12-01-1960至12-01-2017期间平均值为20.220%，共58份观测结果。该数据的历史最高值出现于12-01-2007，达20.747%，而历史最低值则出现于12-01-1963，为19.215%。CEIC提供的CH：最大城市人口：占城镇人口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的瑞士 – 表 CH.世界银行：人口和城市化进程统计。

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。

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Swiss town by race. It includes the distribution of the Non-Hispanic population of Swiss town across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Swiss town across relevant racial categories.

Key observations

With a zero Hispanic population, Swiss town is 100% Non-Hispanic. Among the Non-Hispanic population, the largest racial group is White alone with a population of 550 (73.14% of the total Non-Hispanic population).

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Swiss town
• Population: The population of the racial category (for Non-Hispanic) in the Swiss town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Swiss town total Non-Hispanic 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 Race & Ethnicity. You can refer the same here