Actual value and historical data chart for Switzerland Population Density People Per Sq Km

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;

The population density category contains the "statpop" dataset.

The statpop dataset describes the population density in Switzerland. Using the “Population and Households Statistics” (STAPOP) data points (FSO, 2020), we generated yearly raster layers for the 2010-2020 period. For each year, we computed 13 focal statistics layers by applying a cell-level function calculating the mean and the total (sum) number of inhabitants in a circular moving window of 13 radii ranging from 25m to 5km. This dataset includes a total of 297 layers. As requested by the FSO, for privacy concerns, pixels with 1 to 4 inhabitants were given a value of 4. Final values were rounded and multiplied by 100. This dataset includes a total of 297 layers.

The detailed list of layers available is provided in SWECO25_datalayers_details_pop.csv and includes information on the category, dataset, variable name (long), variable name (short), period, sub-period, start year, end year, attribute, radii, unit, and path.

Reference:

Swiss Federal Statistical Office [FSO]. Population and Households Statistics (STAPOP). (Neuchâtel, Switzerland, 2020).

Külling, N., Adde, A., Fopp, F., Schweiger, A. K., Broennimann, O., Rey, P.-L., Giuliani, G., Goicolea, T., Petitpierre, B., Zimmermann, N. E., Pellissier, L., Altermatt, F., Lehmann, A., & Guisan, A. (2024). SWECO25: A cross-thematic raster database for ecological research in Switzerland. Scientific Data, 11(1), Article 1. https://doi.org/10.1038/s41597-023-02899-1

V2: metadata update

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.

About this dataset

Context

This list ranks the 1 cities in the Switzerland County, IN by Swiss population, as estimated by the United States Census Bureau. It also highlights population changes in each city 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
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Swiss Population: This column displays the rank of city in the Switzerland County, IN by their Swiss population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Swiss Population: The Swiss population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Swiss. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Switzerland County Swiss Population: This tells us how much of the entire Switzerland County, IN Swiss population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This 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/.

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.

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.

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.

About this dataset

Context

This list ranks the 1 cities in the Lewis County, ID by Swiss population, as estimated by the United States Census Bureau. It also highlights population changes in each city 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
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Swiss Population: This column displays the rank of city in the Lewis County, ID by their Swiss population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Swiss Population: The Swiss population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Swiss. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Lewis County Swiss Population: This tells us how much of the entire Lewis County, ID Swiss population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This 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 8 cities in the Washington County, MD by Swiss population, as estimated by the United States Census Bureau. It also highlights population changes in each city 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
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Swiss Population: This column displays the rank of city in the Washington County, MD by their Swiss population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Swiss Population: The Swiss population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Swiss. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Washington County Swiss Population: This tells us how much of the entire Washington County, MD Swiss population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This 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 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

Characteristics of included infants from the BILD cohort.

About this dataset

Context

The dataset tabulates the population of Swiss town by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Swiss town across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of male population, with 52.53% of total population being male. 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.

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. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Swiss town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender 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 Race & Ethnicity. You can refer the same here

Interaction between child density and number of siblings as predictor of respiratory symptoms.

Risk factors for respiratory symptoms.

About this dataset

Context

This list ranks the 4 cities in the Bon Homme County, SD by Swiss population, as estimated by the United States Census Bureau. It also highlights population changes in each city 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
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Swiss Population: This column displays the rank of city in the Bon Homme County, SD by their Swiss population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Swiss Population: The Swiss population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Swiss. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Bon Homme County Swiss Population: This tells us how much of the entire Bon Homme County, SD Swiss population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This 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 4 cities in the Dona Ana County, NM by Swiss population, as estimated by the United States Census Bureau. It also highlights population changes in each city 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
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Swiss Population: This column displays the rank of city in the Dona Ana County, NM by their Swiss population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Swiss Population: The Swiss population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Swiss. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Dona Ana County Swiss Population: This tells us how much of the entire Dona Ana County, NM Swiss population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This 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 6 cities in the White County, IN by Swiss population, as estimated by the United States Census Bureau. It also highlights population changes in each city 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
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Swiss Population: This column displays the rank of city in the White County, IN by their Swiss population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Swiss Population: The Swiss population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Swiss. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total White County Swiss Population: This tells us how much of the entire White County, IN Swiss population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This 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/.