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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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.
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 dataset is a part of the main dataset for Swiss town Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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 dataset is a part of the main dataset for Swiss town Population by Age. You can refer the same here
The biggest worry for people in Switzerland in 2023 was health insurance premiums, with 56 percent of people citing this as their largest concern. Climate change, pensions, and the relationship between Switzerland and the EU rounded off the top four concerns. Climate change Climate change ranked as the second leading worry for the Swiss. Around 71 percent of people worldwide belief that their region will be severely affected by global warming in the next ten years. In some cases, this could even impact livelihoods, especially those in fields like agriculture or tourism, if the change in weather is drastic enough. Politically, global warming has been a hotly contested topic over the past few years, with some politicians denying its existence entirely and others desperately trying to reverse the damage already done to the planet. The climate crisis has also been ranked as the most severe global risk the world will face in ten years, according to more than 1,500 experts in academia, business, and politics. This highlights the seriousness of the problem and suggests that it will still be causing stress for the population in years to come. Stress and anxiety Climate change and environmental issues are some of the most important problems causing worry and anxiety in Switzerland.
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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.