Switzerland Population: Agglomerations: Zurich data was reported at 1,369.041 Person th in 2017. This records an increase from the previous number of 1,354.140 Person th for 2016. Switzerland Population: Agglomerations: Zurich data is updated yearly, averaging 1,147.428 Person th from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 1,369.041 Person th in 2017 and a record low of 1,043.170 Person th in 1991. Switzerland Population: Agglomerations: Zurich 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 Zurich, Switzerland metro area from 1950 to 2025.

In 1800, the region of present-day Switzerland had a population of approximately 1.8 million people. This figure would grow steadily throughout the 19th century, as political and religious grievances gave way to a united federation, whose economic policies saw Switzerland emerge as one of Europe's most prosperous and stable countries. Growth boomed between 1890 and 1910, as industrialization would see significant economic growth and migration to the country. While Switzerland’s neutrality in both World Wars would prevent the mass fatalities experienced across the rest of Europe during the early 20th century, Switzerland’s population would nevertheless stagnate in both the First and Second World War and in the Great Depression in the 1930s, as the economic turmoil and conflict abroad would halt the migration that had previously driven population growth.

Following the end of the Second World War, growth would resume and would rise steadily until the late 1970s, before an economic recession saw the population fall again as workers migrated in search of employment elsewhere. However, population growth has steadily risen since the 1980s, reaching seven million in the mid-1990s and eight million in 2012. Today, with a population of 8.7 million, Switzerland is ranked among the wealthiest and most developed nations in the world, with very high standards of living.

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.

Ce dataset présente les effectifs de la population du canton de Zurich au niveau local (paroisse ou commune) selon des dénombrements ou recensements effectués entre 1634 - 1850. Les descriptions des variables du fichier CSV sont disponibles dans l’annexe.

人口：结块：苏黎世在12-01-2017达1,369.041千人，相较于12-01-2016的1,354.140千人有所增长。人口：结块：苏黎世数据按年更新，12-01-1991至12-01-2017期间平均值为1,147.428千人，共27份观测结果。该数据的历史最高值出现于12-01-2017，达1,369.041千人，而历史最低值则出现于12-01-1991，为1,043.170千人。CEIC提供的人口：结块：苏黎世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。

Sum of TNs of all districts per canton divided by the number of districts.

Population exposed to tropical nights (TNs), defined as population per TNs per decade from 1970–2019 for each district in Switzerland.

Number of tropical nights per decade from 1970–2019 for each district in Switzerland.

Microbiomes feature recurrent compositional structures under given environmental conditions. However, these patterns may conceal diverse underlying population dynamics that require intra-strain resolution. Here, we developed a genomic tagging system, termed wild-type isogenic standardized hybrid (WISH)-tags, that can be combined with quantitative PCR and next-generation sequencing for microbial strain enumeration. We experimentally validated the performance of 62 tags and showed they can be differentiated with high precision. WISH-tags were introduced into model and non-model bacterial members of the mouse and plant microbiota. Intra-strain priority effects were tested using one species of isogenic barcoded bacteria in the murine gut and the Arabidopsis phyllosphere, both with and without microbiota context. We observed colonization resistance against late arriving strains of Salmonella typhimurium in the mouse gut, whereas the phyllosphere accommodated Sphingomonas latecomers in a proportional manner to their presence at the late inoculation timepoint. This demonstrates that WISH-tags are a resource for deciphering population dynamics underlying microbiome assembly across biological systems.

Relative risks (RR) and 95% confidence interval (CI) of mortality associated with tropical nights (TNs) for each city from 1980–2018 controlling or not for mean temperature, and the average number of TNs city and the number of deaths. (XLSX)

General description Genomic data, habitat suitability raster files and scripts to run gen3sis to simulate cumulative divergence over time as approximation for genetic differentiation. Scripts for basic analysis of the simulations (e.g., create distance matrix from sampling locations) are provided, too. See original publication (doi link will be provided after publication) for details. The study area are the European Alps. All data is uploaded as zipped file. Unzip them after the download and put all data in one folder. See linked publications for correct citation of the data used, use of the data without correct citation is not allowed. Corresponding author: Flurin Leugger, email: flurin.leugger@gmail.com Description of the data (content of the different zip folders) Abiotic data Glaciers Folders with raster stacks with glaciated areas at 0.05° resolution in WGS84 projection from Seguinot et al. (2018). Seguinot, J., Ivy-Ochs, S., Jouvet, G., Huss, M., Funk, M., & Preusser, F. (2018). Modelling last glacial cycle ice dynamics in the Alps. The Cryosphere, 12(10), 3265–3285. https://doi.org/10.5194/tc-12-3265-2018 Rivers * river_raster_elevation_class.tif: raster file (.tif) at 0.05° resolution and WGS84 projection with large rivers (scenario 2 from publication). The rivers (each cell) is classified according to the elevation of the cell. Natural Earth. (2018). Rivers + lake centerlines version 4.1.0. Retrieved January 22, 2020, from https://www.naturalearthdata.com/downloads/50m-physical-vectors/50m-rivers-lake-centerlines * river_raster_strahler_class_5km.tif: raster file at 0.05° resolution and WGS84 projection with medium rivers. The rivers are classified according to their Strahler order. Food and Agriculture Organization of the United Nations. (2014). Rivers in Europe (Derived from HydroSHEDS). Retrieved January 29, 2020, from http://www.fao.org/geonetwork/srv/fr/google.kml?uuid=e0243940-e5d9-487c-8102-45180cf1a99f&layers=AQUAMAPS:37253_rivers_europe Fossil records * chamois_fossil_combined_public.xlsx: list with fossil records until 20,000 years BP from Central Europe, see linked references for citation. Chamois occurrences * chamois_occurrence.csv: Chamois presences from all sources used for the publication (see Suppl. mat. Table S1 for detailed information and correct citations of the data) aggregated at 0.05° resolution (~5km). Gen3sis * config: folders with all configuration files used to run the simulations for the publication (different dispersal divergence parameters). * scripts: scripts (and helper functions) to run the gen3sis simulations including scripts for the beginning of the subsequent analysis. Genetic * populations.snps.light.vcf: vcf file of the sampled Northern chamois (Rupicapra rupicapra) . The genomic data encompasses 20k SNPs (from ddRAD sequencing). * Sequencing_final_without_slovakia.txt: sampling locations of Northern chamois (Rupicapra rupicapra) HSM * habitat_suitability_hindcasting: Aggregated habitat suitability raster files (stacks, .grd files) at 0.05° resolution and WGS84 projection from 20,000 years BP until today in 100 year time steps. There are separate folders for each environmental variable scenario used (different terrain slope variables) an the different occurrence/pseudo-absence sampling strategy used. * ODMAP_LeuggerEtAl2021-10-25.csv: ODMAP protocol

Relative risks (RR) and 95% confidence interval (CI) of mortality associated with tropical nights (TNs) for each canton from 1980–2018 controlling or not for mean temperature, and the average number of TNs per canton and the number of deaths. (XLSX)

The most common triplets of chronic conditions including chronic pain diagnoses in a population of inpatients at a tertiary department of internal medicine (n = 433 hospitalizations).

Sociodemographic characteristics of the study population (n = 1039): Comparison of multimorbid patients with and without chronic pain in a population of inpatients in a department of internal medicine in a tertiary care hospital.