This statistic shows the results of a survey conducted in the United States in 2017 on the duration of the current relationship status of Americans. The results were then sorted by age. Some 39 percent of respondents between 30 and 49 years stated they have been single/in a relationship for more than 10 years.

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.

This statistic shows the results of a 2014 Popsugar survey among American women asking them what tends to make you happy in your romantic relationships. During the survey, **** percent of female respondents said trust.

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.

This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Finding". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.

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)

A fundamental question of any new relationship is, will it last? Transient relationships, recently defined by the authors, are an ideal type of social tie to explore this question: these relationships are characterized by distinguishable starting and ending temporal points, linking the question of tie longevity to relationship finite lifetime. In this study, we use mobile phone data sets from the UK and Italy to analyze the weekly allocation of time invested in maintaining transient relationships. We find that more relationships are created during weekdays, with a greater proportion of them receiving more contact during these days of the week in the long term. The smaller group of relationships that receive more phone calls during the weekend tend to remain active for more time. We uncover a sorting process by which some ties are moved from weekdays to weekends and vice versa, mostly in the first half of the relationship. This process also carries more information about the ultimate lifetime of a tie than the part of the week when the relationship started, which suggests an early evaluation period that leads to a decision on how to allocate time to different types of transient ties.

Financial overview and grant giving statistics of National Association for Relationship and Marriage Educatio

Financial overview and grant giving statistics of Avenues Navigating the Spectrum of Relationships Rights & Responsibil

This data set includes a row for each type of non-appointment relationship between an insurance agent, agency, adjuster, and businesses and an insurance company or another person or business approved to manage insurance-related products or claims. To view a list of formal designations, or appointments, for agents to represent a regulated company, go to Active insurance company appointments for agents and adjusters. To view a list of formal designations, or appointments, for agencies to represent a regulated company, go to Active insurance company appointments for agencies and businesses.

The Relationship Dynamics and Social Life (RDSL) Study aims to investigate the types of romantic relationships that produce early and/or unintended pregnancies. The study is based on a representative sample of 1,003 women aged 18 to 22 residing in Genesee County, Michigan. The research team focused on women ages 18 to 22 because these ages are characterized by the highest rates of unintended pregnancy, as well as significant instability and change in the dynamic determinants of unintended pregnancy. Data collection for the baseline survey was conducted March 2008 through July 2009, and consisted of a 60-minute face-to-face interview to gather information on respondent attitudes and behaviors, intimate and familial relationships, contraceptive use, reproductive history, self-reported height and weight, and socio-demographic characteristics. The baseline survey was followed by a series of three supplemental surveys administered over a two-and-a-half year period between May 2009 and August 2011. These surveys covered a wide range of topics, including family living arrangements, socioeconomic status, employment, media consumption, mental health, violence, personality traits, assumptions and knowledge regarding various forms of contraception, and attitudes and opinions about social life. The second major component of the RDSL features journal data collected concurrently with the supplemental surveys. The focus of the journal data collection was to gather dynamic, prospective measurements of pregnancy desires and contraceptive use, as well as relationship attributes such as commitment, sexual intimacy, and decision-making regarding contraception. Please consult the crosswalk to determine which level of restriction is required for research. Demographic information collected includes respondent age, race, ethnicity, religious affiliation, marital status, education, employment status, income, and household size and composition.

Statistics for NSW registrations of Births, Deaths, Marriages, Relationships and Changes of Name.

Trust between couples is a prerequisite for stable and satisfactory romantic relationships. However, there has been no valid research tool to assess partner-specific trust behavior including costly investments in the trustworthiness of the romantic partner. We here present a comprehensive validation of the newly developed Trust Game for Couples (TGC) by means of various self-report and implicit relationship-related measures. The TGC operationalizes trust by measuring an individual’s willingness to invest his or her own financial resources in pro-relationship attitudes of their romantic partner (collected by dichotomous responses to relationship-relevant items, e.g., answering yes to “I am absolutely sure that I love my partner”). Thirty-five healthy couples between 20 and 34 years completed the TGC in an interactive (both partners present), but anonymous setting (no information on the partner’s responses revealed). Trust, as measured by the TGC, correlates positively with self-reported trust, satisfaction, and felt closeness in the relationship, but not with general interpersonal trust, confirming both its convergent and discriminant validity. In addition to explicit criteria for construct validity, implicit measures of partner valence and confidence explained variance in the TGC, demonstrating that it constitutes an economical measure of implicit and explicit ingredients of trust between couples. In sum, the TGC provides a novel, specific behavioral tool for a sensitive assessment of trust in dyadic relationships with potential for numerous research fields.

In 2024, around *** percent of people in Germany were together for three years before they got engaged. Only **** percent of people were together for ***** years before deciding to take the next step in their relationship. Attitudes towards relationships Relationships can start in many different ways, from a ‘meet-cute’ (a sweet first encounter that leads to falling in love), to meeting on dating apps or through friends. A relatively new way for people to find a potential partner are dating apps. The rise of apps such as Tinder, Bumble, or Parship, has revolutionized the dating scene. Over 18 percent of people aged 25 to 34 years old in Germany said that they currently use online dating services. Weddings bells? Engagements are usually followed by a wedding, so the question remains, what is important to Germans when planning the big day? When it comes to weddings, the biggest topic is often finance and how much people are willing to spend. Some items on which Germans spent the most were wedding rings and the wedding dress. Around ** percent of people spent between ***** and ***** euros on their wedding rings. When it comes to behavior at the nuptials, **** people saw it as absolutely off-limits for the guests to wear a white dress. **** people also did not find it terribly outrageous to come to the wedding without a gift.

Complete dataset used in the research study on The Impact of Gaming on Relationships by Dr. Samuel Jenkins

The "https://addhealth.cpc.unc.edu/" Target="_blank">National Longitudinal Study of Adolescent to Adult Health (Add Health) is a longitudinal study of a nationally representative sample of adolescents in grades seven through 12 in the United States. The Add Health cohort has been followed into young adulthood with four in-home interviews, the most recent in 2008, when the sample was aged 24-32.* Add Health combines longitudinal survey data on respondents' social, economic, psychological and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. The fourth wave of interviews expanded the collection of biological data in Add Health to understand the social, behavioral, and biological linkages in health trajectories as the Add Health cohort ages through adulthood. The fifth wave of data collection is planned to begin in 2016.

Initiated in 1994 and supported by three program project grants from the "https://www.nichd.nih.gov/" Target="_blank">Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) with co-funding from 23 other federal agencies and foundations, Add Health is the largest, most comprehensive longitudinal survey of adolescents ever undertaken. Beginning with an in-school questionnaire administered to a nationally representative sample of students in grades seven through 12, the study followed up with a series of in-home interviews conducted in 1995, 1996, 2001-02, and 2008. Other sources of data include questionnaires for parents, siblings, fellow students, and school administrators and interviews with romantic partners. Preexisting databases provide information about neighborhoods and communities.

Add Health was developed in response to a mandate from the U.S. Congress to fund a study of adolescent health, and Waves I and II focus on the forces that may influence adolescents' health and risk behaviors, including personal traits, families, friendships, romantic relationships, peer groups, schools, neighborhoods, and communities. As participants have aged into adulthood, however, the scientific goals of the study have expanded and evolved. Wave III, conducted when respondents were between 18 and 26** years old, focuses on how adolescent experiences and behaviors are related to decisions, behavior, and health outcomes in the transition to adulthood. At Wave IV, respondents were ages 24-32* and assuming adult roles and responsibilities. Follow up at Wave IV has enabled researchers to study developmental and health trajectories across the life course of adolescence into adulthood using an integrative approach that combines the social, behavioral, and biomedical sciences in its research objectives, design, data collection, and analysis.

* 52 respondents were 33-34 years old at the time of the Wave IV interview.
** 24 respondents were 27-28 years old at the time of the Wave III interview.

Wave IV was designed to study the developmental and health trajectories across the life course of adolescence into young adulthood. Biological data was gathered in an attempt to acquire a greater understanding of pre-disease pathways, with a specific focus on obesity, stress, and health risk behavior. Included in this dataset are the Wave IV relationship data.

This data set contains pre and post workshop survey level data of TechnoLOVE workshops conducted by the New York City Healthy Relationship Academy between 2010 and 2018.

Introduction

Divorce Statistics: Divorce is something that impacts many lives each year—not just the couple splitting up, but also kids, relatives, and even friends. Whether you're married, planning to get married, or want to learn more, looking at divorce stats can help you better understand today's relationships.

In this article, "Divorce Statistics," we'll break down key numbers: how often divorces occur, the top reasons people separate, how factors such as age, income, and location impact the decision, and how divorce rates vary around the world. These facts can help you make smarter choices when it comes to love, marriage, and long-term commitment.

Percentage of persons aged 15 years and over by satisfaction with friend relationships, by gender, for Canada, regions and provinces.

The focus of this study is on the relationship between participants in a mentoring program for youths at risk and program staff. A motive for this study is to determine the existence of a genuine long-term impact between these two groups. Although numerous mentoring programs argue that there are benefits to their existence, there had been previously little data to justify these claims. This study contains a mixture of statistical data and qualitative information.