data-driven insights into relationships and compatibility
The Love Formula data analysis evolved from an independent survey examining whether couples who remain together exhibit closer alignment in Values and Traits compared to those who break up. The survey was administered through Survey Monkey.​
The survey comprised three sections:
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Personal Profile: Age, sex, and relationship status
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Values: Self-evaluation and partner evaluation
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Traits: Partner evaluation
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Survey Demographics
Men vs. Women
Count: Men - 112, Women - 183
This pie chart represents the gender distribution of participants in our survey. Out of a total of 295 respondents, 183 were women, accounting for 62% of the sample, while 112 were men, making up the remaining 38%. While we inquired whether any participants identified as nonbinary or preferred not to disclose their gender, the responses were insufficient to form definitive conclusions about sexual orientations beyond male and female categories.
Heterosexual vs. Nonheterosexual
Count: Heterosexual - 249, Nonheterosexual - 11
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This pie chart represents the distribution of heterosexual and nonheterosexual respondents in our survey. Out of a total of 260 respondents, 249 were heterosexual, accounting for 95.8% of the sample, while 11 were nonheterosexual, making up the remaining 4.2%. The nonheterosexual sample size is too small to draw any definitive conclusions about their relationship dynamics and whether they differ from heterosexual relationships.
Distribution of Respondents Across Age Groups
(Excluding Under 18)
In this pie chart, we depict the age distribution of respondents. The objective was to ensure a diverse representation within each category. The chart illustrates that the largest portion, about 32.5%, fell in the 25–34 age range. Following closely, the 35–44 age group made up 22% of participants. The 45–54 and 55–64 age groups accounted for 17.6% and 17.3%, respectively. Respondents aged 18–24 constituted 5.4% of the total, while those aged 65 and above made up 5.1%. This selection of age groups facilitated a comprehensive exploration of responses across a spectrum of age-related experiences. It’s important to note that our analysis of the 18–24 and 65+ age groups may not be fully representative due to their smaller sample sizes.
Distribution of Respondents Across Relationship Statuses
In this pie chart, we present the distribution of respondents across various relationship statuses. The aim was to encompass a balanced representation of each category. The chart reveals that 37% of participants were currently in relationships. Those who had mutually ended relationships constituted 25.6% of the pool. Individuals who decided to initiate a break-up accounted for 18.5% of the participants, and those who had been broken up with made up 12.1%, both critical groups for evaluating the Love Formula’s relevance in relationship dissolution. Lastly, the 6.7% segment in a state of “break” served to assess the Love Formula during periods of uncertainty in partnerships. This selection of respondents allowed for an in-depth examination of how the theory applies to the full spectrum of romantic experiences.