Population density (people per sq. km of land area) in Switzerland was reported at 222 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Switzerland - Population density (people per sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

Historical dataset showing Switzerland population density by year from 1961 to 2022.

Switzerland Population Density: People per Square Km data was reported at 214.243 Person/sq km in 2017. This records an increase from the previous number of 211.897 Person/sq km for 2016. Switzerland Population Density: People per Square Km data is updated yearly, averaging 168.153 Person/sq km from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 214.243 Person/sq km in 2017 and a record low of 137.480 Person/sq km in 1961. Switzerland Population Density: People per Square Km 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 density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.; ; Food and Agriculture Organization and World Bank population estimates.; Weighted average;

Population density of Switzerland went up by 0.83% from 220.3 people per sq. km in 2021 to 222.2 people per sq. km in 2022. Since the 1.07% improve in 2012, population density jumped by 9.76% in 2022. Population density is midyear population divided by land area in square kilometers.

The world population data sourced from Facebook Data for Good is some of the most accurate population density data in the world. The data is accumulated using highly accurate technology to identify buildings from satellite imagery and can be viewed at up to 30-meter resolution. This building data is combined with publicly available census data to create the most accurate population estimates. This data is used by a wide range of nonprofit and humanitarian organizations, for example, to examine trends in urbanization and climate migration or discover the impact of a natural disaster on a region. This can help to inform aid distribution to reach communities most in need. There is both country and region-specific data available. The data also includes demographic estimates in addition to the population density information. This population data can be accessed via the Humanitarian Data Exchange website.

Switzerland Population Density: Inhabitants per sq km data was reported at 222.120 Person in 2022. This records an increase from the previous number of 220.310 Person for 2021. Switzerland Population Density: Inhabitants per sq km data is updated yearly, averaging 189.390 Person from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 222.120 Person in 2022 and a record low of 169.810 Person in 1990. Switzerland Population Density: Inhabitants per sq km data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Switzerland – Table CH.OECD.GGI: Social: Demography: OECD Member: Annual.

222.2 (people per sq. km) in 2022. Population density is midyear population divided by land area in square kilometers.

Population density. Map types: Lines, Choropleths. Spatial extent: Switzerland. Times: 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2020. Spatial units: Cantons, Cantons, habitable area, Districts, Districts, habitable area, Communes, Communes, habitable area

BackgroundAssessing exposure to infections in early childhood is of interest in many epidemiological investigations. Because exposure to infections is difficult to measure directly, epidemiological studies have used surrogate measures available from routine data such as birth order and population density. However, the association between population density and exposure to infections is unclear. We assessed whether neighbourhood child population density is associated with respiratory infections in infants.MethodsWith the Basel-Bern lung infant development study (BILD), a prospective Swiss cohort study of healthy neonates, respiratory symptoms and infections were assessed by weekly telephone interviews with the mother throughout the first year of life. Using population census data, we calculated neighbourhood child density as the number of children < 16 years of age living within a 250 m radius around the residence of each child. We used negative binomial regression models to assess associations between neighbourhood child density and the number of weeks with respiratory infections and adjusted for potential confounders including the number of older siblings, day-care attendance and duration of breastfeeding. We investigated possible interactions between neighbourhood child population density and older siblings assuming that older siblings mix with other children in the neighbourhood.ResultsThe analyses included 487 infants. We found no evidence of an association between quintiles of neighbourhood child density and number of respiratory symptoms (p = 0.59, incidence rate ratios comparing highest to lowest quintile: 1.15, 95%-confidence interval: 0.90–1.47). There was no evidence of interaction with older siblings (p = 0.44). Results were similar in crude and in fully adjusted models.ConclusionsOur study suggests that in Switzerland neighbourhood child density is a poor proxy for exposure to infections in infancy.

Population density: point cloud. Map type: Symbols. Spatial extent: Switzerland. Times: 2000, 2005, 2010, 2015, 2020. Spatial unit: Communes, settlement area

This statistic displays the share of the foreign population living in Switzerland as of December 2017, by country or region of origin. The graph shows that the largest foreign born population residing in Switzerland come from Italy, accounting for nearly fifteen percent of all foreign-born residents. This was closely followed by people born in Germany and Portugal. These three countries made up **** percent of the total foreign born population in Switzerland at this time.

Comprehensive socio-economic dataset for Switzerland including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

Demographics data Switzerland 2022 at municipality level - 198 attributes: gender, age bands, nationality, and more

About this dataset

Context

The dataset tabulates the Switzerland County population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Switzerland County. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 5,710 (57.60% of the total population). 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 cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Switzerland County population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Switzerland County is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Switzerland County is shown in the following column.

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 Switzerland County Population by Age. You can refer the same here

Density of physicians of Switzerland rose by 1.23% from 4.4 number per thousand population in 2020 to 4.4 number per thousand population in 2021. Since the 0.63% upward trend in 2011, density of physicians soared by 15.88% in 2021.

This statistic displays the population of Switzerland, by age group in 2015, with forecasts for 2025 and 2035. In 2015, the largest Swiss age cohort were those aged between 15 and 34, at over * million people. By 2035, the number of people aged ***** is forecasted to remain at * million people, while there are anticipated to be over *** million aged over **.

About this dataset

Context

The dataset tabulates the Switzerland County 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 Switzerland County. The dataset can be utilized to understand the population distribution of Switzerland County by age. For example, using this dataset, we can identify the largest age group in Switzerland County.

Key observations

The largest age group in Switzerland County, IN was for the group of age 55 to 59 years years with a population of 753 (7.60%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Switzerland County, IN was the 85 years and over years with a population of 218 (2.20%). 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 Switzerland County is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Switzerland County 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 Switzerland County Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Switzerland County by race. It includes the population of Switzerland County across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Switzerland County across relevant racial categories.

Key observations

The percent distribution of Switzerland County population by race (across all racial categories recognized by the U.S. Census Bureau): 95.28% are white, 0.28% are Black or African American, 0.10% are American Indian and Alaska Native, 1.02% are Asian, 0.36% are some other race and 2.96% are multiracial.

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 (excluding ethnicity) for the Switzerland County
• Population: The population of the racial category (excluding ethnicity) in the Switzerland County is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Switzerland County 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 Switzerland County Population by Race & Ethnicity. You can refer the same here

Agglomerations: population density (1930-2000). Map types: Lines, Choropleths. Spatial extent: Switzerland. Times: 1930, 1941, 1950, 1960, 1970, 1980, 1990, 2000. Spatial units: Communes, Agglomerations

This statistic shows the distribution of the population in Switzerland as of 2016, by dwelling type. In that year **** percent of the Swiss population lived in detached houses and **** percent occupied semi-detached houses.