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This study is a comparative historical analysis of secondary statistical and industry data examining the rise of divorce volumes, one-person households, and three associated commercial sectors—specialized family-law and divorce services, dating and singles platforms, and adult-content markets—in the United States, the European Union, and the United Kingdom from 1950 to 2025. Primary data collection was not feasible; the analysis relies instead on long-running, publicly available series from national statistical offices (CDC/NCHS, Eurostat, ONS, UN Demographic Yearbook), household panels, labor-force and health surveys (NHANES, NSDUH), and established industry market reports. These secondary sources are widely accepted and routinely used in demographic, economic, and public-health research. The study documents multi-fold increases in absolute divorce counts, measured post-dissolution reductions in household net worth and income, the expansion of single-person living arrangements, and the co-occurring growth of the three industries from negligible 1950 baselines to multi-billion-dollar annual revenues. It records that women initiate approximately 69 percent of heterosexual divorces and experience larger average income drops, alongside rising prenuptial contracting. Its novelty lies in assembling these trends into a single cross-national frame and in the institutional attribution: the commercialization occurred inside regulatory and fiscal regimes that governments maintained (family-law rules, housing and land-use constraints, taxation of earnings and transfers, and content liberalization), not under free-market conditions. Free-market exchange, i.e., eleuthagorism, requires the absence of such interventions; no known society has operated under those conditions. Residual low-cost procedures in Uganda and Japan illustrate the difference when governmental capture of marriage and divorce is less complete. Information technologies accelerated delivery once the legal framework was in place but did not create the underlying demand or permission. The analysis presents observed outcomes and does not quantify correlations among the three industries or attribute motive to any actor.
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Kai Hermann Kayser (2026) studied this question.
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