Switzerland Population: Agglomerations: Lausanne data was reported at 420.757 Person th in 2017. This records an increase from the previous number of 415.596 Person th for 2016. Switzerland Population: Agglomerations: Lausanne data is updated yearly, averaging 346.294 Person th from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 420.757 Person th in 2017 and a record low of 320.334 Person th in 1991. Switzerland Population: Agglomerations: Lausanne data remains active status in CEIC and is reported by Swiss Federal Statistical Office. The data is categorized under Global Database’s Switzerland – Table CH.G001: Population.

Historical dataset of population level and growth rate for the Lausanne, Switzerland metro area from 1950 to 2025.

About this dataset

Context

The dataset tabulates the Lausanne township 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 Lausanne township. 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 227 (60.05% 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 Lausanne township population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Lausanne township is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Lausanne township 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 Lausanne township Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Lausanne township by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Lausanne township. The dataset can be utilized to understand the population distribution of Lausanne township by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Lausanne township. 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 Lausanne township.

Key observations

Largest age group (population): Male # 5-9 years (27) | Female # 35-39 years (21). 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 Lausanne township population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Lausanne township is shown in the following column.
• Population (Female): The female population in the Lausanne township 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 Lausanne township 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 Lausanne township Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Lausanne Township, Pennsylvania population pyramid, which represents the Lausanne township population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Lausanne Township, Pennsylvania, is 26.5.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Lausanne Township, Pennsylvania, is 32.4.
• Total dependency ratio for Lausanne Township, Pennsylvania is 58.8.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Lausanne Township, Pennsylvania is 3.1.

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 for the Lausanne township population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Lausanne township for the selected age group is shown in the following column.
• Population (Female): The female population in the Lausanne township for the selected age group is shown in the following column.
• Total Population: The total population of the Lausanne township for the selected age group 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 Lausanne township Population by Age. You can refer the same here

人口：结块：洛桑在12-01-2017达420.757千人，相较于12-01-2016的415.596千人有所增长。人口：结块：洛桑数据按年更新，12-01-1991至12-01-2017期间平均值为346.294千人，共27份观测结果。该数据的历史最高值出现于12-01-2017，达420.757千人，而历史最低值则出现于12-01-1991，为320.334千人。CEIC提供的人口：结块：洛桑数据处于定期更新的状态，数据来源于Office Fédéral de la Statistique，数据归类于Global Database的瑞士 – 表 CH.G001：人口。

The aim of the present study was to evaluate the efficacy of a proactive electronic screening and brief intervention (internet-based brief intervention) providing personalized feedback and information on alcohol use and its consequences among young men in the general population. It consists of two studies: a secondary prevention study (for those with unhealthy alcohol use, defined as reporting >14 drinks per week OR at least one episode of binge drinking (6 or more drinks per occasion) per month OR an Alcohol Use Disorders Identification Test score >8) and a primary prevention study (for those without unhealthy alcohol use). It is hypothesized that the internet-based brief intervention will decrease later alcohol use and related consequences among individuals with unhealthy alcohol use (secondary prevention study) and will prevent the increase of alcohol use among individuals without unhealthy alcohol use (primary prevention study). The study is a parallel-group randomized controlled trial: a total of 1633 participants were included. 737 participated in the secondary prevention study and 896 in the primary prevention study. In both studies, participants were randomly assigned to receive electronic personalized feedback or not and followed at 1 month and at 6 months to evaluate their alcohol use. The primary outcomes were weekly alcohol consumption and prevalence of monthly risky single occasion drinking (or "binge"). Participants were Swiss young men from a general population sample.

In tropical grazer assemblies with abundant large predators, smaller herbivores have been shown to be limited by predation and food quality, while the larger species are regulated by food abundance. Much less is known on herbivore resource partitioning in temperate grazing ecosystems, where humans are typically the regulators. In the Oostvaardersplassen ecosystem in The Netherlands, a unique multispecies assemblage of cattle, horses, red deer and geese developed after initial introduction of a few individuals in 1983. During the first 35 years, this herbivore assemblage without predation or human regulation gradually changed into increasing dominance of the smaller herbivore species. Carrying capacity was reached around 2008, after which numbers started fluctuating depending on winter conditions. A population crash, especially of red deer, in winter 2018 led to heavy societal debate around animal welfare, after which active population regulation was introduced. This suggests strong nich..., Dung samples were collected across the grassland part of the OVP, with collections divided in three sub-areas (see Suppl. Figure 1A) during November 2018, 2019, 2020 and 2021 for the four main herbivore species, i.e., cattle, horse, red deer and geese (Barnacle geese and Greylag geese combined as the species were not identified from the dung shape). Per species and year, 15 scat samples were collected (5 per sub-area, Suppl. Figure 1A), leading to a total of 60 scat per year. Samples were spaced by at least 10 m to reduce the chance of re-sampling the same individual, and GPS coordinates were taken for each sample. Only freshly deposited dung samples were collected, and samples were then stored in dried silica beads at room temperature, in order to dry and preserve them, without need for freezing, until DNA extraction could be done at the University of Lausanne, Switzerland. DNA extraction We used between 0.5 and 1 g of dry dung as the starting point for the extraction. Extractions were..., , # Density-dependent resource partitioning of temperate large herbivore populations under rewilding

This README file was generated on 2024-02-07 by Eduard Mas-Carrió

GENERAL INFORMATION

1. Title of Dataset: Data from: Density-dependent resource partitioning of temperate large herbivore populations under trophic rewilding

2. Author Information

Eduard Mas-Carrió1*, Perry Cornelissen2,5, Han Olff3,†and Luca Fumagalli1,4,â€

1)Laboratory for Conservation Biology, Department of Ecology and Evolution, Biophore, University of Lausanne, 1015 Lausanne, Switzerland.

2)State Forestry Service, Amersfoort, The Netherlands. In

3)Conservation Ecology Group, Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, Netherlands.

4)Swiss Human Institute of Forensic Taphonomy, University Centre of Legal Medicine Lausanne-Geneva, Lausanne University Hospital and University of Lausanne, Ch. de la Vulliette 4, 1000 Lausanne 25, Switzerland.

5)Institute for Biodive...

Sample statistics as indicated at first participation (N = 1595).

Built environment characteristics in raw MVPA spatial clusters.

Indice composite représentant la vulnérabilité à la chaleur agrégé à une maille régulière de 100m.

L'indice se compose des facteurs suivants :

• Population âgée (70 ans et plus) : part relative par rapport à la population adulte, nombre absolu. (STAT POP - OFS)
• Densité de population (STAT POP - OFS)
• Revenu : Potentiel de consommation équivalent (Statistique Vaud)
• Santé : fragilité, santé subjective (Unisanté - cohorte Lc65+)
• Isolement social (Unisanté - cohorte Lc65+)
• Température de surface - exposition (Landsat 8 - Etat de Vaud)

There are three samples of Switzerland's academic elite made available on SWISSUbase:

1/ All University Professors

Universities full and associate professors represent the stable members of the academic community. They exert a considerable institutional and scientific power within the academic field and in certain cases enjoy a relatively high social prestige as experts or intellectuals. Therefore, the sample of Swiss University Professors consists of full and associate professors at Swiss universities and Federal Institutes of Technology at six dates: 1890, 1910, 1937, 1957, 1980, 2000. All professors from the eight cantonal universities (Zurich, Basel, Bern, Geneva, Lausanne, Fribourg, Neuchâtel, and St. Gall) and the two Swiss Federal Institutes of Technology (Zurich (ETHZ) and Lausanne (EPFL)) were selected for 1910, 1937 and 1957. For 1980 and 2000, considering the large increase in the number of professors, we carried out a stratified sampling. The stratified samples for 1980 (1152 individuals) and 2000 (1135 individuals) are representative of the existing gender, university, and discipline proportions of the general population of Swiss university professors on those dates (2027 professors in 1980 and 2471 in 2000).

2/ Professors of power disciplines

Previous studies on Swiss elites showed that Swiss political and economic elites are frequently trained in law, natural sciences and economics and that professors in these disciplines are particularly well-connected to other social spheres (extra-parliamentary commissions, boards of directors of companies or political mandates). Therefore, a second sample includes all full and associate professors (in 1910, 1937, 1957, 1980 and 2000) in the following disciplines with a close link to the field of power:

1. Law
2. Biology, life sciences & chemistry
3. Economics and management.

3/ Members of the top academic elite

The third sample represents all the individuals - in 1890, 1910, 1937, 1957, 1980, 2000 and 2010 - occupying the most powerful positions within the Swiss academic field. All individuals who had one of the following functions were included, even if they were not university professors: o Rectors, vice-rectors, and deans o SNSF: Foundation Council (only committee as of 2010) o SNSF : National Research Councils o SNSF: Research Commission of the individual universities o Members of the ETH Board, from 1969 onwards ETH Board o Members of the Swiss Science and Innovation Council o Members of the Commission for Technology and Innovation (CTI) o Member of the committees of the four main scientific academies: Swiss Academy of Humanities and Social Sciences, Swiss Academy of Medical Sciences, Swiss Academy of Natural Sciences and Swiss Academy of Engineering Sciences + Swiss Association of University Teachers o Members of the committees of certain scientific disciplinary associations: Swiss Society of Jurists, Swiss Society of Statistics and Political Economy

The purpose of this narrower sample of academic elite was also to make it more comparable with the economic, political, and administrative elites, whose numbers are smaller. In addition, this sample captures particularly well the scientific prestige (Academies and SNSF) and the institutional power of professors (rectors and deans).

Pre- vs. post-intervention scores° for knowledge of, attitudes towards, and experiences with LGBT people among medical students in Lausanne, Switzerland (n = 64).

Exploratory factor analysis of items measuring knowledge of, attitudes towards, and experiences with LGBT people pre- and post-class among medical students in Lausanne, Switzerland (n = 117).

Demographic characteristics of the subjects enrolled at the Centre Hospitalier Universitaire Vaudois (CHUV) in Lausanne, Switzerland.

About this dataset

Context

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

Key observations

The percent distribution of Lausanne township population by race (across all racial categories recognized by the U.S. Census Bureau): 98.94% are white and 1.06% 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 Lausanne township
• Population: The population of the racial category (excluding ethnicity) in the Lausanne township is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Lausanne township 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 Lausanne township Population by Race & Ethnicity. You can refer the same here

Plan de protection de Lavaux selon la loi sur le plan de protection de Lavaux (LLavaux) adoptée par le Grand Conseil le 29 novembre 2011 et qui a pour buts :

• de maintenir l'aire viticole et agricole à l'intérieur du périmètre du plan, ainsi que de favoriser les activités y relatives
• de favoriser l'équilibre entre populations rurale et non rurale ainsi qu'entre populations active sur place et active dans d'autres régions- de diminuer la dépendance à l'égard des centres urbains, notamment en matière d'équipements collectifs
• de respecter le site construit et non construit, en empêchant toute atteinte qui puisse altérer le caractère et la beauté de la région de Lavaux
• d'assurer une césure entre les régions fortement urbanisées de Lausanne et de Vevey

About this dataset

Context

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

Key observations

With a zero Hispanic population, Lausanne township is 100% Non-Hispanic. Among the Non-Hispanic population, the largest racial group is White alone with a population of 374 (98.94% 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 Lausanne township
• Population: The population of the racial category (for Non-Hispanic) in the Lausanne township is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Lausanne township 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 Lausanne township Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Lausanne township population by year. The dataset can be utilized to understand the population trend of Lausanne township.

Content

The dataset constitues the following datasets

• Lausanne Township, Pennsylvania Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

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 presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Lausanne township. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Lausanne township, the median household income for the households where the householder is White increased by $10,118(12.28%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $82,382 in 2013 and $92,500 in 2023.
• Black or African American: As per the U.S. Census Bureau population data, in Lausanne township, there are no households where the householder is Black or African American; hence, the median household income for the Black or African American population is not applicable.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Lausanne township.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• 2023: 2023 median household income
• Please note: All incomes have been adjusted for inflation and are presented in 2023-inflation-adjusted dollars.

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 Lausanne township median household income by race. You can refer the same here