Switzerland Population: Agglomerations: Geneva data was reported at 592.060 Person th in 2017. This records an increase from the previous number of 585.400 Person th for 2016. Switzerland Population: Agglomerations: Geneva data is updated yearly, averaging 504.265 Person th from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 592.060 Person th in 2017 and a record low of 442.106 Person th in 1991. Switzerland Population: Agglomerations: Geneva 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 Geneve, Switzerland metro area from 1950 to 2025.

IntroductionGlobally, cancer cases are expected to significantly increase due to population growth and aging, reaching 29.9 million by 2040 (+49.5% since 2022) and 32.6 million by 2045 (+63%), with countries like Switzerland forecasting a 36.5% increase. Rare cancers, defined as less than six cases/100,000 individuals/year, account for 15-24% for recent nationwide studies but they have fewer treatment options and lower survival rates. Using the Geneva Cancer Registry, we analyzed rare cancer incidence and survival rates in adults from the canton of Geneva, Switzerland (2011–2020), with the aim of informing future research at local and national levels.MethodsWe analyzed adult patients diagnosed with invasive cancers (2011–2020) in Geneva using Geneva Cancer Registry data, which were annually updated. Rare cancers were defined according to RARECAREnet criteria (incidence less than six cases/100,000 individuals/year) and categorized into Tier 1 and Tier 2 entities based on clinical features. Crude and standardized incidence rates were calculated for both sexes using the 1976 European reference population, as well as age-specific rates for rare and common cancers. Five-year survival rates were estimated using the Kaplan–Meier method. Survival differences between rare and common cancers were assessed using log-rank tests and Cox proportional hazards models adjusted for age and gender. Statistical analyses were performed using STATA software.ResultsBetween 2011 and 2020, 31,233 invasive cancers were diagnosed in adults in Geneva, of which 4,296 cases (13.75%) were classified as rare based on aforementioned thresholds. While some rare Tier 1 cancers included common subtypes, most Tier 2 cancers (141 in total) were classified as rare, with significant gender disparities. Men had higher rare cancer rates such as epithelial hypopharynx, larynx, and liver tumors, while women had higher rates of squamous cell carcinoma of the anus. Rare neuroendocrine tumors, central nervous system tumors, and hematological malignancies, such as follicular B lymphoma and acute myeloid leukemia, were also prevalent among rare cancers. Rare cancers increase with age, but less so than common cancers. The 5-year survival rate for rare cancers was 58.4% when compared with 62.3% for common cancers, indicating a 15.7% higher risk of death for patients with these cancers.DiscussionThese findings highlight the critical challenges and requirements of targeted research and improving care strategies for rare cancers. Efforts combatting such cancers include European Reference Networks and the Swiss Sarcoma Network, which have improved access to care via collaborative efforts. In Switzerland, Molecular Tumor Boards have leveraged genomic knowledge to refine treatments and allow patient participation in clinical trials. Early referral to such boards for aggressive or treatment-limited cancers can streamline care and facilitate patient access to specialist centers. However, Switzerland requires more comprehensive data on the distribution of rare cancers in terms of age, gender, and region to improve management strategies at national levels.

人口：结块：日内瓦在12-01-2017达592.060千人，相较于12-01-2016的585.400千人有所增长。人口：结块：日内瓦数据按年更新，12-01-1991至12-01-2017期间平均值为504.265千人，共27份观测结果。该数据的历史最高值出现于12-01-2017，达592.060千人，而历史最低值则出现于12-01-1991，为442.106千人。CEIC提供的人口：结块：日内瓦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。

Abstract (en): These data are a collection of demographic statistics for the populations of 125 countries or areas throughout the world, prepared by the Statistical Office of the United Nations. The units of analysis are both country and data year. The primary source of data is a set of questionnaires sent monthly and annually to national statistical services and other appropriate government offices. Data include statistics on approximately 50 types of causes of death for the years 1966 through 1974 for males, females, and total populations. Causes of death in 125 countries or areas throughout the world between the years 1966 and 1974. 2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions. The causes of death are classified according to the 6th, 7th, and 8th versions of an abbreviated list of the World Health Organization's INTERNATIONAL STATISTICAL CLASSIFICATION OF DISEASES, INJURIES, AND CAUSES OF DEATH. Therefore, data for causes of death are not necessarily comparable across countries or data years. Users should refer to Variable 5 in the Variable List for full discussion of this problem. Users interested in comparing deaths for countries or years that use different versions of the Abbreviated list should consult two publications: A. Joan Klebba, and Alice B. Dolman. COMPARABILITY OF MORTALITY STATISTICS FOR THE SEVENTH AND EIGHTH REVISIONS OF THE INTERNATIONAL CLASSIFICATION OF DISEASES, UNITED STATES. Rockville, MD: United States Department of Health, Education, and Welfare. Public Health Service. Health Services and Mental Health Administration. National Center for Health Statistics, 1975, and World Health Organization. MANUAL OF THE INTERNATIONAL STATISTICAL CLASSIFICATION OF DISEASES, INJURIES, AND CAUSES OF DEATH. Geneva, Switzerland: World Health Organization, 1967.The user should note that countries have data covering a variety of time spans (the maximum span being 1965-1973), and the data have not been padded to supply missing data codes for those years for which a country does not have data. Thus, Egypt has data for years 1965 through 1972, while Kenya has data for only 1970. (See Appendix D in the codebook to determine the years for which a country has data.)It is important that any user of these data consult the United Nations' DEMOGRAPHIC YEARBOOK, 1976, for further explanation of the data's limitations. Certain countries have modified reporting procedures which are presented in both the footnotes and the technical notes accompanying the tables in the Yearbook. There is no way to identify these problems using only the machine-readable data.In order to eliminate unnecessary repetition of identifying information, data were merged so that each record now contains all the data for a country for one particular year. In this process, breakdowns of deaths by ethnic group and/or urban/rural classification were omitted since only a few countries provided such information. Each record now contains the data for the number of deaths from each cause of death for male, female, and total.While the data appear to be in a rectangular matrix, such is not the case. This occurs because different versions of the abbreviated list are referenced in different data years. The lack of a rectangular data matrix does little to restrict the manageability of the dataset. See codebook for examples.While the data have been reformatted and documented by ICPSR staff, there has been no attempt to verify the accuracy and consistency of the data received from the U.N. Statistical Office.

Abstract

National Nutrition Survey menuCH

Nutrition and physical activity directly affect health and quality of life. But what do people living in Switzerland usually eat and drink? The National Nutrition Survey menuCH pursued these questions and collected data concerning nutrition and physical activity behaviors of the Swiss population.

menuCH inquired men and women aged between 18 and 75 years living in the German, French or Italian parts of Switzerland, about what they ate the previous day (i.e., 24-hour dietary recall) and their eating and drinking habits but also about their physical activity. Anthropometric measurements were taken in addition. Survey participation was voluntary.

menuCH inquired 2000 participants in 10 study centers. The study centers were located all over Switzerland so that most participants could reach them within reasonable time. The survey took place between January 2014 and February 2015.

Aims

„What and how much do people living in Switzerland usually eat and drink, when and where?” With this and other questions regarding eating and drinking habits, it should possible to...

• evaluate better the nutrition situation;

• keep high and improve food safety;

• detect faster possible risks associated with food;

• verify and adapt if necessary the present dietary recommendations;

• improve the food range and composition;

• develop and implement effective nutrition strategies and measures to promote health and quality of life;

• support research and development in the fields of nutrition, food and behavior sciences with up-to-date and nationally representative data.

For more information see : https://www.blv.admin.ch/blv/de/home/lebensmittel-und-ernaehrung/ernaehrung/menuCH.html (German) https://www.blv.admin.ch/blv/fr/home/lebensmittel-und-ernaehrung/ernaehrung/menuCH.html (French) https://www.blv.admin.ch/blv/it/home/lebensmittel-und-ernaehrung/ernaehrung/menuCH.html (Italian)

The list of publications on menuCH data can be found under the following link : https://www.blv.admin.ch/blv/de/home/lebensmittel-und-ernaehrung/ernaehrung/menuCH/menuch-publikationen-daten-forschung.html

Geographic coverage

Switzerland (46° 57' N, 7° 25' E)

Analysis unit

Individuals

Universe

Food consumption of Swiss residents, male and female from three language regions, between 18 and 75 years of age

Sampling procedure

Sampling was carried out by the Federal Statistical Office (FSO) using the sampling frame for individual and household surveys (SRPH, Stichprobenrahmen für Personen und Haushaltserhebungen, https://www.studydata.blv.admin.ch//catalog/4/download/87) database. The three-step sampling procedure for the survey was as follows:

1. The first stratum consisted of the seven Swiss major regions (Lake Geneva region, Midland, Northwest Switzerland, Zurich, Eastern Switzerland, Central Switzerland and Ticino*). To facilitate logistics, only the most populous cantons of each major region were considered. The number of cantons was chosen so that they represent at least half of the population of the corresponding major region (Table 1). The sampling frame of the main study consisted of participants living in the cantons of Vaud (VD), Geneva (GE), Neuchâtel (NE), Jura (JU), Berne (BE), Basel-Land (BL), Basel-Stadt (BS), Zürich (ZH), St. Gallen (SG), Aargau (AG), Luzern (LU) and Ticino (TI).
2. Source : Swiss Federal Statistical Office, Available : https://www.studydata.blv.admin.ch//catalog/4/download/90

Table 1. Major regions of Switzerland and cantons selected for menuCH https://www.studydata.blv.admin.ch//catalog/4/download/80

1. Within the first stratum, a second stratification was conducted, taking into account gender- and age groups. For each major region, the final sample aimed to achieve a comparable number of men and women, with an age group distribution comparable to the one observed within the administrative regions.
2. The 24-hour dietary recall interviews were as evenly distributed as possible throughout the week in order to capture all days of the week. The number of interviews conducted on Mondays was twice as large as for the other days, in order to cover the food consumption on Saturdays and Sundays. For participants interviewed on Mondays, the day of the interview (Saturday or Sunday) was randomly chosen.

Overall, the target was to recruit a total of 2'000 participants with two appointments/interviews each, following quotas by canton of residence (Table 2; Table 3).

Table 2. Survey sampling frame overall and by linguistic region https://www.studydata.blv.admin.ch//catalog/4/download/81

Table 3. Target number of participants by administrative region and canton of residence https://www.studydata.blv.admin.ch//catalog/4/download/82

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Non-participant questionnaire (available here https://www.studydata.blv.admin.ch//catalog/4/download/26) A short non-participant questionnaire was applied orally by the recruiters during the contact call when it became clear that the contacted person was unwilling to participate.

Nutrition behavior and physical activity questionnaire (available in English under the documentation section of this website or in German: https://www.studydata.blv.admin.ch//catalog/4/download/14 ; French: https://www.studydata.blv.admin.ch//catalog/4/download/15 and Italian: https://www.studydata.blv.admin.ch//catalog/4/download/16)

Eating and physical activity behavior were assessed by a 49 question paper/written questionnaire available in three languages. The questionnaire has been developed by FOPH/FSVO and was pre-tested using cognitive interviews. For physical activity, the short version of the IPAQ - International Physical Activity Questionnaire - was considered. For health related questions, reference was made to questions of the Swiss Health Surveys and for diet related questions also standard questions from other nationally or internationally used questionnaires had been included. Thus, comparisons with other studies are possible. The questionnaire was amended by a selection of socio-economic and -demographic questions from the most current Swiss Health Survey 2012, with very few changes applied due to experiences from regional surveys (CoLaus and Bus santé studies). The questionnaire was sent to the participants by postal delivery together with the confirmation of the first appointment and the instruction to complete it at home and bring it to the appointment. Upon handover, the questionnaire was checked by the dietitian for completeness and clarity. At the end of the appointment the dietitian keyed the information into a central on-line database.

Cleaning operations

Data editing took place at a number of stages throughout the processing, including: a) During data entry b) Structure checking and completeness c) Secondary editing d) Structural checking of SQL and STATA data files

Sampling error estimates

See the document "Weighting strategy” available under "Technical documents” and the document "Codebooks” available under “Other materials” in the “Documentation" section. Remarks: 1. The variables “sampling_w”, “nonresponse_w” and “nonresponse_w_2rec” are given for information only. These variables should not be used for extrapolation as they correspond to intermediate steps in the calculation of the calibrated weights. 2. For extrapolation always use calibrated weights. As season and weekday influence nutrition, it is preferable to use "sw_calibrated_w" weights rather than "calibrated_w" weights. 3. The statistical program SPADE requires two 24HDR per person for usual intake analyses. For this reason the variables “calibrated_w_2rec” and “sw_calibrated_w_2rec” are provided (see chapter “Weighting for SPADE” in the document “Weighting strategy”).

The Swiss self-storage market, valued at approximately CHF 200 million in 2025, is experiencing steady growth, projected to expand at a compound annual growth rate (CAGR) of 3.70% from 2025 to 2033. This growth is fueled by several key factors. Increased urbanization in Swiss cities like Zurich and Geneva is leading to smaller living spaces and a greater need for off-site storage solutions for both personal and business items. The rise of e-commerce and the resulting increase in inventory management needs for small businesses also contribute significantly to market expansion. Furthermore, the growing popularity of flexible living arrangements and the increasing number of mobile professionals necessitate readily available and secure storage options. The market is segmented into consumer and business storage, with both segments exhibiting promising growth potential. While precise market share data for each segment is unavailable, it's reasonable to assume a relatively balanced distribution, reflecting the broad appeal of self-storage across various demographics. Competition within the market is moderate, with established players like Zebrabox Switzerland, Secur' Storage, and others vying for market share. However, the potential for new entrants remains, particularly those focusing on specialized storage solutions or innovative technological integrations, such as online booking and access systems. Potential restraints include land scarcity in prime urban locations and regulatory hurdles related to construction and zoning. Despite these challenges, the long-term outlook for the Swiss self-storage market remains positive. Continued economic growth, rising living costs, and evolving lifestyle trends are expected to drive sustained demand. Companies are likely to respond by focusing on enhancing customer experience through advanced technology, increased security measures, and offering flexible lease terms. The development of environmentally friendly storage facilities will also become increasingly important as sustainability gains prominence. Market players should leverage digital marketing strategies to reach target audiences effectively and differentiate their offerings in a competitive landscape. The industry's future hinges on adapting to shifting consumer needs and capitalizing on the opportunities presented by the growing urban population and its changing storage needs. This comprehensive report provides an in-depth analysis of the Switzerland self-storage industry, covering the period 2019-2033. It offers valuable insights into market size, trends, growth drivers, challenges, and competitive landscape, making it an essential resource for industry players, investors, and market researchers seeking to understand this dynamic sector. Keywords: Swiss self storage, self storage Switzerland, Swiss storage units, self storage market Switzerland, storage units Switzerland, Switzerland warehouse storage, commercial storage Switzerland. Note: I do not have access to real-time information, including website URLs or precise financial data for Swiss self-storage companies. The market size figures presented below are estimations for illustrative purposes only. To obtain precise data, conducting further research using financial databases and company websites is recommended. Recent developments include: In April 2020, Casaforte, the self-storage company which has a significant presence in Switzerland and has developed the 'Hotel of Things' facility in a European country. Casaforte's 'Hotel of Things' is under video surveillance and integrated with alarm systems. The customers can access the self-storage rooms in full privacy by using a personal code.. Key drivers for this market are: Favorable Demographic Trends Such as High Tourist Footfalls, High-income Population, Demand in Urban Areas and Growing Market Concentration, Steady Rise in Demand From the Consumer Segment. Potential restraints include: Development of Alternate Labeling Methods. Notable trends are: Increased Urbanization, Coupled with Smaller Living Spaces is Expected to Drive the Self-Storage Demand in the Coming Years.

To date, most of the evidence suggests that smoking is negatively associated with testing positive for SARS-CoV-2. However, evidence has several methodological limitations. Using an outpatient sample population, we analyzed the association of testing positive for SARS-CoV-2 and smoking considering comorbidities, socioeconomic and demographic factors. Baseline data were obtained from a cohort during the first wave of the pandemic in Geneva, Switzerland (March-April 2020). RT-PCR tests were carried out on individuals suspected of having SARS-CoV-2 according to the testing strategy at that time. Logistic regressions were performed to test the association of smoking and testing positive for SARS-CoV-2 and further adjusted for comorbidities, socioeconomic and demographic factors. The sample included 5,169 participants; 60% were women and the mean age was 41 years. The unadjusted OR for testing positive for SARS-CoV-2 was 0.46 (CI: 0.38–0.54). After adjustment for comorbidities, socioeconomic and demographic factors, smoking was still negatively associated with testing positive for SARS-CoV-2 (OR: 0.44; CI: 0.35–0.77). Women (OR: 0.79; CI: 0.69–0.91), higher postal income (OR: 0.97; CI: 0.95–0.99), having respiratory (OR: 0.68; CI: 0.55–0.84) and immunosuppressive disorders (OR: 0.63; CI: 0.44–0.88) also showed independent negative associations with a positive test for SARS-CoV-2. Smoking was negatively associated with a positive test for SARS-CoV-2 independently of comorbidities, socioeconomic and demographic factors. Since having respiratory or immunosuppressive conditions and being females and healthcare workers were similarly negatively associated with SARS-CoV-2 positive testing, we hypothesize that risk factor-related protective or testing behaviors could have induced a negative association with SARS-CoV-2.

description: data for figures 1-8 in journal article "Assessment of port-related air quality impacts: geographic analysis of population", International Journal of Environment and Pollution, 58, 231-250, (2015). This dataset is associated with the following publication: Arunachalam , S., H. Brantley , T. Barzyk , G. Hagler , V. Isakov , S. Kimbrough , B. Naess, N. Rice, M. Snyder, K. Talgo, and A. Venkatram. Assessment of port-related air quality impacts: geographic analysis of population. INTERNATIONAL JOURNAL OF ENVIRONMENT AND POLLUTION. Inderscience Enterprises Limited, Geneva, SWITZERLAND, 58(4): 231 - 250, (2015).; abstract: data for figures 1-8 in journal article "Assessment of port-related air quality impacts: geographic analysis of population", International Journal of Environment and Pollution, 58, 231-250, (2015). This dataset is associated with the following publication: Arunachalam , S., H. Brantley , T. Barzyk , G. Hagler , V. Isakov , S. Kimbrough , B. Naess, N. Rice, M. Snyder, K. Talgo, and A. Venkatram. Assessment of port-related air quality impacts: geographic analysis of population. INTERNATIONAL JOURNAL OF ENVIRONMENT AND POLLUTION. Inderscience Enterprises Limited, Geneva, SWITZERLAND, 58(4): 231 - 250, (2015).

Simulated Data and Simulation Program

This dataset release permits to simulate the scenarios investigated in the article entitled "Simulated patterns of mitochondrial diversity are consistent with partial population turnover in Bronze Age Central Europe" by Broccard et al, using the program SPLATCHE3, which is included.

There is a zipped folder "Broccard_et_al_SimulationData.zip" that contains i) a "ReadMe.txt" file with the instructions to launch the simulations; ii) the executable called "SPLATCHE3-Linux-64b"; iii) the input settings file for the various scenarios.

See Broccard, N, Silva, NM and & Currat M., American Journal of Biological Anthropology (2021), for background and http://www.splatche.com/splatche3 for more information about the simulation program.