Singlehood Survey Data

1. Description of the Dataset: The dataset is based on a representative sample of individuals aged 30 and above from USA, UK, Mexico, Spain, Israel, Egypt, and Japan (with young including for Japan), recruited using Prolific, QuestionPro Japan, and BESAMPLE and screened for demographic balance (gender, ethnicity, employment status) in accordance with relevant population benchmarks. Quality control was ensured through QuestionPro’s Data Quality Tool, with additional manual review for reliability and response integrity. The participants' age is mostly 30 years or older to better represent stable singles (Tessler 2023), as is common in the singlehood studies literature (e.g., Kislev 2019). In other words, the sample represents a population above the median age at first marriage in many Western countries. For example, the national medians in the U.S. were 30.2 and 28.6 years for men and women, respectively, in 2024 (CPS 2025). A similar survey was also conducted in Israeli society - a more conservative and multi-ethnic society (Birenbaum-Carmeli 2021, Weinreb 2023). Rigorous screening and quota-setting procedures were applied using participant management tools. First, individuals who had participated in previous related studies were excluded to prevent duplication and reduce response bias. Second, population-based quotas were applied to employment status, ethnicity, and gender. Third, the samples were also balanced by sex, targeting a distribution of 48% male and 52% female, with the option of choosing “other" where possible. These screeners, combined with clear eligibility criteria stated in the study description, yielded a demographically representative and methodologically robust sample, gathered using the highly regarded and widely recognized survey tool, QuestionPro. The QuestionPro’s built-in Data Quality Tool was also utilized throughout the survey administration to ensure data integrity and minimize response bias. This tool systematically flagged low-quality responses based on several automated checks, including detection of duplicate IP addresses, speedy completion times, patterned responses in matrix questions, and instances of selecting all options in multi-select items. Responses that met predefined quality thresholds were manually checked. This process enhanced the reliability of the findings by ensuring that only participants who were attentive and engaged were included in the analysis. 2. Attribution Requirement: Any use of this dataset, whether for academic, research, policy, or educational purposes, in any publication, presentation, or derivative work resulting from the dataset, should include the original data creators. 3. Restrictions on Use: a. The dataset may be used only for non-commercial, scholarly, or educational purposes. Otherwise, written permission is required. b. Users may not redistribute the raw dataset to third parties. Instead, interested parties should request access from the original data custodian. c. Publication of findings derived from the dataset must not disclose identifiable participant information or attempt re-identification. 4. Contact for Inquiries: For permissions, questions regarding this dataset, or access to the comparative dataset, please contact: Prof. Elyakim Kislev Hebrew University of Jerusalem elyakim.kislev@mail.huji.ac.il