In 2025, the United States was the country with the highest online dating service penetration, with **** percent. Belgium followed, with close to ** percent.

According to a survey conducted in April 2024 in the United States, one in five online dating service users had lied about their age on their dating profile, while 14 percent had lied about their income. A further 14 percent had lied about their hobbies and interests, and 12 percent had lied about their height.

According to a survey on mobile dating apps conducted by Rakuten Insight in October 2024, about ** percent of the dating app users from Hong Kong said that they used such apps at least once a week. Tinder, Coffee Meets Bagel, and Goodnight were the most popular dating apps in the city, according to the survey.

The North American online dating services market, encompassing both free and paid platforms, is experiencing robust growth, projected to maintain a Compound Annual Growth Rate (CAGR) of 5.60% from 2025 to 2033. This expansion is fueled by several key drivers. Firstly, the increasing prevalence of smartphones and readily available internet access has significantly broadened the reach and convenience of online dating. Secondly, shifting societal norms and a growing acceptance of online relationships contribute to market expansion. Thirdly, innovative features offered by dating apps, such as advanced matching algorithms, video chat capabilities, and safety measures, enhance user experience and attract a wider demographic. The market segmentation reveals a significant portion utilizing free services, but a substantial and growing revenue stream is generated from paid premium features and subscriptions. This suggests a trend towards users seeking more personalized and effective experiences, willing to pay for enhanced matching and communication tools. Competition is fierce, with established players like Match Group Inc. and eHarmony alongside newer entrants like Bumble and Hinge vying for market share. While data on specific market size values for 2025 and beyond are not provided, based on the 5.60% CAGR and estimating a 2025 market size of approximately $2 Billion (a reasonable estimate considering the market's maturity and reported growth in similar markets), a substantial expansion can be expected throughout the forecast period. Geographic concentration in North America, specifically the United States, Canada, and Mexico, reflects high internet penetration and a strong culture of embracing digital technologies for social interactions. However, potential restraints include concerns over data privacy and safety, the rise of alternative social connection methods, and the ongoing challenge of maintaining user engagement in a competitive landscape. Market players are continuously innovating to address these challenges, focusing on improved security features, enhanced user interfaces, and targeted marketing strategies to reach specific demographics. The ongoing evolution of features, coupled with effective marketing and addressing user concerns, will be crucial in determining the overall market trajectory within the North American region. This comprehensive report provides an in-depth analysis of the North America online dating services market, encompassing the historical period (2019-2024), base year (2025), and forecast period (2025-2033). It leverages extensive research to provide critical insights into market size, trends, segmentation, and key players, utilizing high-search-volume keywords such as online dating market, North America dating apps, dating app industry, online dating services revenue, and dating app market trends. The report is invaluable for investors, industry professionals, and anyone seeking to understand the dynamic landscape of the North American online dating sector. Recent developments include: March 2022 - Match Group has announced that it is launching the latest addition to its dating services lineup with Stir, an app designed exclusively for single parents. With the new release, the company aims to address the 20 million single parents in the U.S. who are under-served by existing dating apps.. Key drivers for this market are: Continuous Innovation in Service Offerings, Growing Penetration of Smartphones and Mobile Devices. Potential restraints include: Security Concerns of Data Privacy. Notable trends are: Rapid innovation in service offerings is driving the market growth.

With over 63.5 million downloads, casual dating platform Tinder was the most downloaded dating app worldwide in 2024. Bumble followed in second place with more than 36.2 million downloads from mobile dating audiences worldwide, while Badoo ranked third with 23 million downloads recorded from global users during the last examined year.

The global phone digital dating app market, currently valued at $8,456 million (2025), is projected to experience robust growth, driven by increasing smartphone penetration, evolving social dynamics, and the rising popularity of online dating. The market's Compound Annual Growth Rate (CAGR) of 11.5% from 2019 to 2024 suggests a considerable expansion, anticipated to continue through 2033. Key drivers include the convenience and accessibility offered by mobile apps, allowing users to connect with potential partners anytime, anywhere. The rise of location-based dating features and advanced matchmaking algorithms further enhances user experience and engagement. Market segmentation reveals a significant presence of both heterosexual and same-sex dating apps, catering to diverse user preferences. Leading players like Tinder, Bumble, and Hinge dominate the market, but the competitive landscape is dynamic, with new entrants and innovative features constantly emerging. Geographic data suggests significant market presence across North America and Europe, with growth potential in emerging markets in Asia-Pacific and Africa, fueled by rising internet and smartphone adoption rates. Restraints include concerns around data privacy, safety, and the potential for misuse of these platforms. However, ongoing improvements in app security and user verification processes are likely to mitigate these concerns. Furthermore, the integration of social media features and augmented reality technologies within dating apps is a growing trend that could significantly boost market growth. The market segmentation by application (male and female users) indicates a substantial user base across both genders. The competitive landscape is characterized by both established players and emerging startups constantly innovating to improve user experience and attract a larger market share. Future growth will be influenced by factors such as technological advancements, evolving user preferences, and regulatory changes concerning data privacy and online safety. The continued integration of AI and machine learning in matching algorithms is expected to enhance user satisfaction and improve the effectiveness of these platforms. Successful navigation of data privacy concerns and the consistent introduction of innovative features will be crucial for sustained market growth within the predicted timeframe.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. Teenage adolescent females residing in Baltimore, Maryland who were involved in a relationship with a history of violence were sought after to participate in this research study. Respondents were interviewed and then followed through daily diary entries for several months. The aim of the research was to understand the context regarding teen dating violence (TDV). Prior research on relationship context has not focused on minority populations; therefore, the focus of this project was urban, predominantly African American females. The available data in this collection includes three SAS (.sas7bdat) files and a single SAS formats file that contains variable and value label information for all three data files. The three data files are: final_baseline.sas7bdat (157 cases / 252 variables) final_partnergrid.sas7bdat (156 cases / 76 variables) hart_final_sas7bdata (7004 cases / 23 variables)

According to a survey of United States adults who have used online dating services, finding an exclusive romantic partner was the leading reason for joining a dating website or app for more than five in ten respondents. Users reporting they joined to have something fun or interesting to do were 34 percent, while 23 percent joined out of curiosity to see what the app was like. To find someone for one's friend and to boost one's self-esteem were among the least popular reasons to use a dating app or website, with 18 percent of respondents picking each option.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. The Dating Violence among Latino Adolescents follow-up (DAVILA - II) study consists of follow up-interviews with parent and youth respondents from the DAVILA study (see ICPSR 34630) about experiences that occurred after the baseline interview for the purpose of investigating dating violence, co-morbid victimization, psychosocial outcomes of dating violence, help-seeking efforts by Latino youth, and the impact of cultural factors on these associations. The goal of DAVILA - II was to collect a second wave of data from the participants in the original DAVILA study, resulting in longitudinal data that would allow the researchers to overcome many of the limitations associated with cross-sectional data.

The North Carolina State Center for Health Services (SCHS) collects yearly vital statistics. The Odum Institute holds vital statistics beginning in 1968 for births, fetal deaths, deaths, birth/infant deaths, marriages and divorce. Public marriage and divorce data are available through 1999 only.

North Carolina law defines marriage as the legal union of a male and a female (G.S. 51-1). Legal divorce or annulment can occur only by decree of an authorized court. Annulments, which void marr iage from the beginning, constitute less than one percent of the sum of these events. This study focuses on North Carolina marriages for 1968. Data includes information on the age, race, previous marital status, and education of the bride and groom as well as the place, date and type of marriage.

The data is strictly numerical, there is no identifying information given about the individuals.

According to a survey on mobile dating apps conducted by Rakuten Insight in October 2024, about 47 percent of the respondents aged between 25 and 34 years living in Hong Kong had used mobile dating apps. The same survey found out that Tinder was the most popular dating app in the city.

Comprehensive dataset of 11 Dating services in Utah, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Most people seek to establish romantic or intimate relationships in life, including people with mental health problems. However, this has been a neglected topic in mental health practice and research. This study aimed to investigate views of mental health and social care staff about the appropriateness of helping service users with romantic relationships, barriers to doing this, and suggestions for useful ways to support this. An online survey comprising both closed, multiple response and free-text questions was circulated to mental health organisations across the U.K. via social media, professional networks and use of snowballing sampling. A total of 63 responses were received. Quantitative data were analysed using descriptive statistics, and are reported as frequencies and percentages. Qualitative data were interpreted using thematic analysis, using an inductive approach. Although most participants reported that ‘finding a relationship’ conversations were appropriate in their job role, many barriers to supporting service users were identified, including: a lack of training; concerns about professional boundaries; concerns about service user capacity and vulnerability; and concerns about being intrusive. Participant suggestions for future support included educating service users on safe dating behaviours, and practical interventions such as assisting service users to use dating sites and engage with social activities to develop social skills and meet others. Staff were willing to help service users seek an intimate relationship but may need specific training or guidance to facilitate this confidently and safely. This study elucidates the need for further research in this area, particularly in understanding service user perspectives, and in developing resources to support staff in this work.

Phylogenies provide a useful way to understand the evolutionary history of genetic samples, and data sets with more than a thousand taxa are becoming increasingly common, notably with viruses (e.g., human immunodeficiency virus (HIV)). Dating ancestral events is one of the first, essential goals with such data. However, current sophisticated probabilistic approaches struggle to handle data sets of this size. Here, we present very fast dating algorithms, based on a Gaussian model closely related to the Langley–Fitch molecular-clock model. We show that this model is robust to uncorrelated violations of the molecular clock. Our algorithms apply to serial data, where the tips of the tree have been sampled through times. They estimate the substitution rate and the dates of all ancestral nodes. When the input tree is unrooted, they can provide an estimate for the root position, thus representing a new, practical alternative to the standard rooting methods (e.g., midpoint). Our algorithms exploit the tree (recursive) structure of the problem at hand, and the close relationships between least-squares and linear algebra. We distinguish between an unconstrained setting and the case where the temporal precedence constraint (i.e., an ancestral node must be older that its daughter nodes) is accounted for. With rooted trees, the former is solved using linear algebra in linear computing time (i.e., proportional to the number of taxa), while the resolution of the latter, constrained setting, is based on an active-set method that runs in nearly linear time. With unrooted trees the computing time becomes (nearly) quadratic (i.e., proportional to the square of the number of taxa). In all cases, very large input trees (>10,000 taxa) can easily be processed and transformed into time-scaled trees. We compare these algorithms to standard methods (root-to-tip, r8s version of Langley–Fitch method, and BEAST). Using simulated data, we show that their estimation accuracy is similar to that of the most sophisticated methods, while their computing time is much faster. We apply these algorithms on a large data set comprising 1194 strains of Influenza virus from the pdm09 H1N1 Human pandemic. Again the results show that these algorithms provide a very fast alternative with results similar to those of other computer programs. These algorithms are implemented in the LSD software (least-squares dating), which can be downloaded from http://www.atgc-montpellier.fr/LSD/, along with all our data sets and detailed results. An Online Appendix, providing additional algorithm descriptions, tables, and figures can be found in the Supplementary Material available on Dryad at http://dx.doi.org/10.5061/dryad.968t3.

Replication Data for: The Democracy of Dating: How Political Affiliations Shape Relationship Formation

The Online Dating market has transformed significantly over the past few decades, evolving from simple matchmaking services to sophisticated platforms that leverage advanced algorithms and user data to foster connections. As of 2023, the global online dating market is valued at approximately $6 billion, showing stea

Dating violence among adolescents is a severe public health issue that has escalated rapidly during the COVID-19 pandemic. This article explores young people’s responses to social media trends normalizing dating violence. Through analysis of the “pretend to punch your girlfriend” trend on the social media platform TikTok, this study asks: how do youth make sense of dating violence on social media? And what do their emotional responses reveal about emerging attitudes towards dating violence and relationship equity? This study explores the “feeling rules” constructed by youth in response to dating violence online through a mixed-method analysis of user comments. This article concludes with platform design solutions to regulate the rise of dating violence on social networks.

According to a survey conducted by Rakuten Insight in August 2024, most Indians between 25 and 35 years primarily used dating apps to find a long-term partner, as indicated by 31 percent of the respondents. Interestingly, the majority of respondents aged 55 and above used dating apps to find a spouse during the survey period.

Statistical table of the number of cases by region, age group, and gender since 2003 (Disease Name: Measles, Date Type: Onset Date, Case Type: Confirmed Case, Source of Infection: Domestic, Imported from Abroad)

Comprehensive dataset of 95 Dating services in Mexico as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.