Introduction

Online Dating Statistics: In recent years, online dating has become a widely embraced method for individuals seeking potential partners. Advancements in technology and the widespread use of smartphones have led to a dramatic evolution in the landscape of online dating.

Platforms like Bumble, Tinder, and OkCupid have revolutionized the dating process, enabling people to connect based on mutual interests, location, and even sophisticated algorithms designed to gauge compatibility. The online dating market is anticipated to see significant growth in the years ahead, fueled by the growing acceptance of digital platforms, particularly among younger generations.

However, as the industry expands, it faces ongoing challenges such as concerns over data privacy, online harassment, and the authenticity of user profiles. This overview explores key statistics related to the online dating sector, examining its growth, demographic shifts, and emerging trends.

According to a 2024 survey conducted in the United States, 56 percent of respondents stated that meeting someone in person who they met on online dating platforms would be somewhat safe. Overall, men were more likely than women to say that meeting someone in person who they had met online was safe or somewhat safe.

Introduction

Online Dating Statistics: The landscape of modern romance has been fundamentally changed by tech, website, with online dating evolving from a niche concept to a globally dominant social phenomenon.

What started as experimental computer matchmaking has exploded into a multi-billion-dollar industry, fundamentally changing how billions of people seek companionship, casual dates, and long-term partners. To truly understand this transformation, we must dive deep into the data that defines the world of online dating.

I want this article to present the most detailed, statistics-focused analysis, highlighting the growth, user behavior, market dynamics, and societal impact of online dating. Let’s get into the content.

According to a survey on online dating market in China conducted in December 2020, **** percent of respondents specified that they obtained information about online dating through blind date shows. Overall, diversified types of advertisements were very appealing to online dating users and Wechat moments was also a popular source for those surveyed to access online dating information.

This statistic presents information on the awareness of dating websites and apps among internet users in the United States. During an ********** survey, it was found that ** percent of internet users were aware of Match.com.

Comprehensive dataset containing 78 verified Erotic Online Dating locations in Australia with complete contact information, ratings, reviews, and location data.

BackgroundIn the absence of detailed information about the population size and behaviour data of men-who-have-sex-with-men (MSM), the estimation of prevalence rates of sexually transmitted infections (STIs) and the design of public health interventions become difficult. The aim of the present study is to estimate the lower boundary of age-specific population sizes and retrieve self-reported information from this population.MethodsWe used publicly accessible data from a large online dating and social network website for MSM in Germany to retrieve data on the age and regional distribution of profiles. The profiles were also stratified by their information on the preferred position during anal intercourse, safer sex, and sexual identity.ResultsA total of 464,873 user profiles correspond to an average 15.2 profiles per 1,000 male inhabitants in Germany, varying between 7.6 and 45.6 across federal states. Although the information on the absolute numbers for different age groups is limited by the search engine, age-specific relative frequencies were found to increase from 12.9 in the age group of 18 to 20 year olds to 24.6 profiles per 1,000 male inhabitants in the 28 to 30 year olds. The data shows age-specific trends for safer sex with an increasing easiness of reporting “never” engaging in safer sex or stating that safer sex “needs discussion” with increasing age. Around one third of profile owners stated to be versatile with respect to the preferred position in anal intercourse. All other options (“only bottom”, “more bottom”, “only top”, “more top”) were preferred equally likely by roughly 10% of profile owners, respectively.ConclusionsOnline social network or dating sites can provide some information about specific populations in the absence of other data sources. The presented results are the first to report age-specific rates of MSM per 1,000 male inhabitants in Germany and may be useful to estimate age-specific prevalence or incidence rates as well as to inform health promotion activities and modelling studies for MSM in Germany.

This statistic presents information on the device usage for accessing online dating sites or apps among dating site users in the United States. During an April 2017 survey, it was found that ** percent of respondents used their smartphone to access online and mobile dating services.

With the continuous development of information technology, more and more people have become to use online dating apps, and the trend has been exacerbated by the COVID-19 pandemic in these years. However, there is a phenomenon that most of user reviews of mainstream dating apps are negative. To study this phenomenon, we have used topic model to mine negative reviews of mainstream dating apps, and constructed a two-stage machine learning model using data dimensionality reduction and text classification to classify user reviews of dating apps. The research results show that: firstly, the reasons for the current negative reviews of dating apps are mainly concentrated in the charging mechanism, fake accounts, subscription and advertising push mechanism and matching mechanism in the apps, proposed corresponding improvement suggestions are proposed by us; secondly, using principal component analysis to reduce the dimensionality of the text vector, and then using XGBoost model to learn the low-dimensional data after oversampling, a better classification accuracy of user reviews can be obtained. We hope These findings can help dating apps operators to improve services and achieve sustainable business operations of their apps.

Comprehensive dataset containing 11 verified Erotic Online Dating locations in South Australia, Australia with complete contact information, ratings, reviews, and location data.

Abstract (en): How Couples Meet and Stay Together (HCMST) surveyed how Americans met their spouses and romantic partners, and compared traditional to non-traditional couples. This collection covers data that was gathered over five waves. During the first wave, respondents were asked about their relationship status, including the gender, ethnicity, and race of their current partner, as well as the level of education of their parents. They were also asked about their living arrangements with their partner, the country, state, and city the respondent and/or the respondent's partner resided in most from birth to age 16, and whether the couple attended the same high school/college/university, or grew up in the same town. Information was collected on the legal status of the relationship, the city/state where the partnership was legalized, and how many times the respondent had previously been married. Additionally, respondents were asked about how often they visited with relatives, which gender they were most attracted to, their earned income in 2008, and the length of their current relationship. Finally, respondents were asked to recall how, when, and where they met their partner, how their parents felt about their partner, and to describe the perceived quality of their relationship. The second wave followed up with respondents one year after Wave 1. Information was collected on respondents' changes, if any, in marital status, relationship status, living arrangements, and reasons for separation where applicable. The third wave followed up with respondents one year after the second wave, and collected information on respondents' relationships reported in the first two waves, again including any changes in the status of the relationship and reasons for separation. The fourth wave followed up with respondents two years after Wave 3. In addition to information on relationship status and reasons for separation, Wave 4 includes the subjective level of attractiveness for the respondent and their partner. Wave 5 collected updated data on respondents' changes, if any, in marital status, relationship status, and reasons for separation where applicable. Information about respondents' sexual orientations, sex frequencies, and attitudes towards sexual monogamy were also collected. Demographic information includes age, race/ethnicity, gender, level of education, household composition, religion, political party affiliation, and household income. The data is being released in two parts: part one is available for public use and part two is available for restricted use. The public use data contains Waves 1-5, including the addition of nine variables collecting information such as race, household income, whether the respondent was born outside of the United States, zip code relative to rural area, and respondents' living arrangements between birth and 16 years of age. The restricted use data contains Waves 1-3, and differs from the public use data by including FIPS codes for state of marriage and state of residence, town or city where the respondent was raised, and qualitative variables revised by the Principal Investigator (Waves 1-5), consisting of respondent's answers to how they first met their partner, the quality of their relationship in their own words, why they broke up if applicable and if they have an open relationship. The survey was carried out by survey firm Knowledge Networks. The survey respondents were recruited from an ongoing panel. Panelists are recruited via random digit dial phone survey. Survey questions were mostly answered online; some follow-up surveys were conducted by phone. Panelists who did not have internet access at home were given an internet access device (WebTV). For further information about how the Knowledge Networks hybrid phone-internet survey compares to other survey methodology, see the accompanying documentation. The data are not weighted; however, this collection contains eight weight variables; WEIGHT1-WEIGHT7 and WEIGHT_COUPLES_CORESIDENT. Please refer to the ICPSR codebook for further information about weighting. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Standardized...

This statistic presents information on the preferred locations for users in the United States to use online dating sites or apps. During an April 2017 survey, it was found that 84 percent of responding dating website or app users accessed the dating service at home.

Internet use by patients as a source of information on health and disease is expanding rapidly with obvious effects on the doctor-patient relationship. A self-administered questionnaire was used, about physicians´ perception on the use of the Internet by patients and about whether that use interferes with the doctor–patient relationship. 85.3% of the physicians reported that their patients accessed the Internet and that 92% used that information in a following visit. Overall, 56.9% of the physicians thought that the Internet helped the doctor–patient relationship, 27.6% thought it interfered with the relationship, and 15.5% believed that the Internet had a negative impact on it.

With the continuous development of information technology, more and more people have become to use online dating apps, and the trend has been exacerbated by the COVID-19 pandemic in these years. However, there is a phenomenon that most of user reviews of mainstream dating apps are negative. To study this phenomenon, we have used topic model to mine negative reviews of mainstream dating apps, and constructed a two-stage machine learning model using data dimensionality reduction and text classification to classify user reviews of dating apps. The research results show that: firstly, the reasons for the current negative reviews of dating apps are mainly concentrated in the charging mechanism, fake accounts, subscription and advertising push mechanism and matching mechanism in the apps, proposed corresponding improvement suggestions are proposed by us; secondly, using principal component analysis to reduce the dimensionality of the text vector, and then using XGBoost model to learn the low-dimensional data after oversampling, a better classification accuracy of user reviews can be obtained. We hope These findings can help dating apps operators to improve services and achieve sustainable business operations of their apps.

The origin and fate of new mutations within species is the fundamental process underlying evolution. However, while much attention has been focused on characterizing the presence, frequency, and phenotypic impact of genetic variation, the evolutionary histories of most variants are largely unexplored. We have developed a nonparametric approach for estimating the date of origin of genetic variants in large-scale sequencing data sets. The accuracy and robustness of the approach is demonstrated through simulation. Using data from two publicly available human genomic diversity resources, we estimated the age of more than 45 million single-nucleotide polymorphisms (SNPs) in the human genome and release the Atlas of Variant Age as a public online database. We characterize the relationship between variant age and frequency in different geographical regions and demonstrate the value of age information in interpreting variants of functional and selective importance. Finally, we use allele age estimates to power a rapid approach for inferring the ancestry shared between individual genomes and to quantify genealogical relationships at different points in the past, as well as to describe and explore the evolutionary history of modern human populations.

According to a survey on online dating in China conducted in December 2021, over a third of single respondents in China were unwilling to try online dating services. Personal information security was the most mentioned concern for using online dating platforms, with **** percent of respondents saying so.

This statistic presents information on the truthfulness of online dating users in the United States when they presenting themselves on their dating profile. During an April 2017 survey, it was found that 60 percent of responding dating website or app users always presented themselves truthfully.

This statistics displays the findings of a survey on the user familiarity with a person from a dating website and app before a date in the United Kingdom (UK) in June 2017, by gender. During the survey period it was found, that ** percent of polled female current users of online dating services stated, that they exchanged basic information about each other - i.e., job, interests, etc. Additionally, during a survey conducted in the Untied States it was reported, that ** percent of polled Americans who were current users of adult dating portal and app stated, they arranged a meeting right away.

This statistic presents information on U.S. user spending willingness for an online dating site or app membership. During an April 2017 survey, it was found that 36 percent of responding current, former or potential dating website or app users were willing to pay up to 10 U.S. dollars for their membership per month if a dating website or app met all their criteria.