The number of users in the 'Online Dating' segment of the eservices market in the United States was forecast to continuously increase between 2024 and 2028 by in total 5.3 million users (+8.76 percent). After the ninth consecutive increasing year, the indicator is estimated to reach 65.86 million users and therefore a new peak in 2028. Notably, the number of users of the 'Online Dating' segment of the eservices market was continuously increasing over the past years.Find further information concerning revenue in the United States and revenue growth in Indonesia. The Statista Market Insights cover a broad range of additional markets.
According to a survey conducted in March 2025, approximately one in five Tinder users in the United States considered themselves as being a part of the LGBTQ+ community. Overall, 80 percent of users did not identify as part of the community, and three percent did not say.
According to a survey conducted in March 2025, 65 percent of Tinder users in the United States identified as men, and 35 percent identified as women. As of April 2025, Tinder is the most used dating app worldwide.
According to a survey conducted in March 2025, almost 75 percent of Tinder users in the United States considered themselves religious, while 21 percent were non-religious.
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SDCC Traffic Congestion Saturation Flow Data for January to June 2020. Traffic volumes, traffic saturation, and congestion data for sites across South Dublin County. Used by traffic management to control stage timings on junctions. It is recommended that this dataset is read in conjunction with the ‘Traffic Data Site Names SDCC’ dataset.A detailed description of each column heading can be referenced below;scn: Site Serial numberregion: A group of Nodes that are operated under SCOOT control at the same common cycle time. Normally these will be nodes between which co-ordination is desirable. Some of the nodes may be double cycling at half of the region cycle time.system: SCOOT STC UTC (UTC-MX)locn: Locationssite: Site numbersday: Days of the week Monday to Sunday. Abbreviations; MO,TU,WE,TH,FR,SA,SU.date: Reflects correct actual Date of when data was collected.start_time: NOTE - Please ignore the date displayed in this column. The actual data collection date is correctly displayed in the 'date' column. The date displayed here is the date of when report was run and extracted from the system, but correctly reflects start time of 15 minute intervals. end_time: End time of 15 minute intervals.flow: A representation of demand (flow) for each link built up over several minutes by the SCOOT model. SCOOT has two profiles:(1) Short – Raw data representing the actual values over the previous few minutes(2) Long – A smoothed average of values over a longer periodSCOOT will choose to use the appropriate profile depending on a number of factors.flow_pc: Same as above ref PC SCOOTcong: Congestion is directly measured from the detector. If the detector is placed beyond the normal end of queue in the street it is rarely covered by stationary traffic, except of course when congestion occurs. If any detector shows standing traffic for the whole of an interval this is recorded. The number of intervals of congestion in any cycle is also recorded.The percentage congestion is calculated from:No of congested intervals x 4 x 100 cycle time in seconds.This percentage of congestion is available to view and more importantly for the optimisers to take into account.cong_pc: Same as above ref PC SCOOTdsat: The ratio of the demand flow to the maximum possible discharge flow, i.e. it is the ratio of the demand to the discharge rate (Saturation Occupancy) multiplied by the duration of the effective green time. The Split optimiser will try to minimise the maximum degree of saturation on links approaching the node.
Site description The in-situ crop phenology stages dataset was collected from Bulgarian and French sites for major European crops. Each selected field is described by its precise location and shape. In Bulgaria, seventeen production crop fields were selected: Oborishte (P0 and P3), Gurkovo (P01 and P13), Trigorci (P02), General Kiselovo (P1 and P2), Dobrich (P4 and P18), Mirovci (P14), Neofit Rilski (P15), Boyana (P17) and Gurkovo (P19, P20, P22, P23, P24) in the Northeast part of the Danube plain. Winter rapeseed and wheat were grown in the selected sites. The cultivation follows a crop rotation schema, but the collected in-situ phenology data was from one growing season only per field. The sites are characterized by mostly flat terrain and a moderate continental climate with cold winters and hot summers. The annual cumulative precipitation is 540 mm, and the mean annual temperature is 10.2˚C. The soil has mainly a sandy loam texture. In France, two research fields were selected: Lamasquère (FR-Aur) and Auradé (FR-Lam). The FR-Aur crop site is part of a grain farm located in a hilly area where winter wheat – rapeseed – barley – sunflower crop rotation is used. The FR-Lam site is located in a plain where a winter wheat – irrigated maize crop rotation is practiced. Winter cover crops (faba bean, white mustard) were sometimes introduced on both sites between a winter crop and a summer crop. During the selected time frame all mentioned crop species were cultivated. The climate is temperate with Mediterranean and oceanic influences, with mild winters, rainy springs, and high temperatures over the summer with low rainfall, followed by sunny autumns. The mean annual rainfall over the past 24 years was 617 ± 101 mm and the mean annual temperature was 13.7 ± 0.6 °C on both sites (Beziat et al. 2009, Tallec et al. 2022). According to the textural triangle of Malterre and Alabert (1963), the soil of the FR-Lam site has mainly clay, silt, and sand and FR-Aur is silt, clay, and sand. Crop phenology measurements The Start of the Season (SOS) is represented by a specific phenophase that corresponds to the BBCH10-13 distinguishable phenology stage and the End of the Season (EOS) by the Harvest date. In Bulgaria, crop data (Sowing, Phenophase, and Harvest date) from all fields were collected by visual observations in the field, written in a paper notebook, and subsequently passed to a Microsoft Excel file. The available data for each field is one season and some fields don't have the corresponding phenophase or harvest date. In France, crop data (Sowing and Harvest date) from both fields were collected through visual observation on site, identical to the Bulgaria sites. The phenophase date was determined by visual observations on site and with PhenoCam picture and/or digital photo camera picture analysis. The unique exception is the Lamasquére site in the 2017/2018 and 2019/2020 seasons where the phenophase date was collected through visual observations on site. The available data for both fields have numerous crop seasons. File description The “1_senseco_data_insitu_crop_phenology_Bulgaria_France.txt” concerns all crop phenology measurements (sowing, harvest, and phenophase date) and related information. The “2_senseco_metadata_insitu_crop_phenology_Bulgaria_France.txt” describes all the variables from “1_senseco_data_insitu_crop_phenology_Bulgaria_France.txt”. The "FR_Pictures_JPG.zip" contains all the photos from the French sites. The "georeference_GEOJSON_polygons.zip" contains all the georeferenced shape files from each crop plot and the "georeference_CSV_comma" contains all the georeferenced shape files in an open format. See the file "metadata_geojson_csv.txt" with support data for the georeferenced files. Bibliography Beziat, P., Ceschia, E., Dedieu, G., 2009. Carbon balance of a three crop succession over two cropland sites in South West France. Agricultural and Forest Meteorology 149, 1628–1645. https://doi.org/10.1016/j.agrformet.2009.05.004 Malterre, H. and Alabert, M. : Nouvelles observations au sujet d’un mode rationnel de classement des textures des sols et des roches meubles - pratique de l’interprétation des analyses physiques, Bulletin de l’AFES 2, 76-84, 1963. Tallec, T., Bigaignon, L., Delon, C., Brut, A., Ceschia, E., Mordelet, P., Zawilski, B., Granouillac, F., Claverie, N., Fieuzal, R., Lemaire, B., Le Dantec, V., 2022. Dynamics of nitrous oxide emissions from two cropping systems in southwestern France over 5 years: Cross impact analysis of heterogeneous agricultural practices and local climate variability. Agricultural and Forest Meteorology 323, 109093. https://doi.org/10.1016/j.agrformet.2022.109093 Acknowledgment This research was supported by the Action CA17134 SENSECO (Optical synergies for spatiotemporal sensing of scalable ecophysiological traits) funded by COST (European Cooperation in Science and Technology, www.cost.eu, accessed on March 17, 2023).
Daily summary of citywide and agency COVID-19 related encumbrances. This data was collected from March 10, 2020 through June 29, 2021 and is no longer being updated.
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The number of users in the 'Online Dating' segment of the eservices market in the United States was forecast to continuously increase between 2024 and 2028 by in total 5.3 million users (+8.76 percent). After the ninth consecutive increasing year, the indicator is estimated to reach 65.86 million users and therefore a new peak in 2028. Notably, the number of users of the 'Online Dating' segment of the eservices market was continuously increasing over the past years.Find further information concerning revenue in the United States and revenue growth in Indonesia. The Statista Market Insights cover a broad range of additional markets.