ArticlePublisher preview available
To read the full-text of this research, you can request a copy directly from the authors.

Abstract and Figures

Income is known to be associated with happiness, but debates persist about the exact nature of this relationship. Does happiness rise indefinitely with income, or is there a point at which higher incomes no longer lead to greater well-being? We examine this question using data from the Gallup World Poll, a representative sample of over 1.7 million individuals worldwide. Controlling for demographic factors, we use spline regression models to statistically identify points of “income satiation.” Globally, we find that satiation occurs at 95,000forlifeevaluationand95,000 for life evaluation and 60,000-$75,000 for emotional well-being. However, there is substantial variation across world regions, with satiation occurring later in wealthier regions. We also find that in certain parts of the world, incomes beyond satiation are associated with lower life evaluations. These findings on income and happiness have practical and theoretical significance at the individual, institutional, and national levels. They point to a degree of happiness adaptation and that money influences happiness through the fulfillment of both needs and increasing material desires.
This content is subject to copyright. Terms and conditions apply.
Letters
https://doi.org/10.1038/s41562-017-0277-0
© 2018 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. © 2018 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.
1Department of Psychological Sciences, Purdue University, West Lafayette, IN, USA. 2Department of Psychology, University of Virginia, Charlottesville,
VA, USA. *e-mail: ajebb@purdue.edu
Income is known to be associated with happiness1, but
debates persist about the exact nature of this relationship2,3.
Does happiness rise indefinitely with income, or is there a
point at which higher incomes no longer lead to greater well-
being? We examine this question using data from the Gallup
World Poll, a representative sample of over 1.7 million indi-
viduals worldwide. Controlling for demographic factors, we
use spline regression models to statistically identify points
of ‘income satiation’. Globally, we find that satiation occurs
at $95,000 for life evaluation and $60,000 to $75,000 for
emotional well-being. However, there is substantial variation
across world regions, with satiation occurring later in wealth-
ier regions. We also find that in certain parts of the world,
incomes beyond satiation are associated with lower life evalu-
ations. These findings on income and happiness have practical
and theoretical significance at the individual, institutional and
national levels. They point to a degree of happiness adapta-
tion4,5 and that money influences happiness through the fulfil-
ment of both needs and increasing material desires6.
The relationship between money and happiness has been con-
templated—and contested—for hundreds of years. Large-scale
reviews have consistently shown that income is positively associated
with subjective well-being (SWB)1,79, but one issue in need of clar-
ity is whether there is an eventual ceiling to these positive effects.
In other words, is there a level of income at which satiation occurs,
when increases in income no longer produce meaningful benefits
to happiness? Or, does happiness continue to rise indefinitely with
income gains?
Many studies have examined the association between income
and one or more of the three components of SWB (that is, life
evaluation, positive affect and negative affect10). These studies have
observed that the strength of the association diminishes with higher
income. However, despite its importance, only a few studies have
examined explicitly whether this diminishing eventually reaches full
satiation, and those that do exist have noteworthy limitations. The
most prominent study to date looked at satiation for all three SWB
outcomes and found that life evaluation did not satiate, whereas
affective well-being satiated at $75,0002. However, the study sample
was limited to the United States and only used a categorical measure
of income rather than a continuous one. Determining satiation from
categorical data is possible but will not yield precise estimates of its
true location. (Technically, the $75,000 estimate could have been
anywhere between $60,000 and $120,000.) Two other studies found
no evidence for satiation when using a continuous income vari-
able and data from many different countries3,11. However, only one
SWB outcome (life evaluation) was analysed, and only a minority
of the countries tracked the association beyond $64,000 (due to the
authors excluding the upper 90% of income distributions, possibly
due to sparse data). Importantly, all of these studies appeared to use
raw household income. The problem is that this does not account
for household size and therefore assumes that $75,000 for a lone
individual operates the same as $75,000 for a family of four. This
would have the effect of inflating satiation estimates.
Although previous research has shed important light on income
satiation, there is a need for a more thorough investigation that
includes all three SWB outcomes and a sufficient range of continu-
ous income data. Satiation is also not likely to be invariant across
different cultures, time frames and life circumstances12. Thus, apart
from the need to have a broader dataset, another pivotal question in
need of exploration is: How might various factors like world region,
gender and education influence satiation effects?
We addressed this diverse set of questions using data from the
Gallup World Poll, which contains observations collected from over
1.7 million people from 164 countries and approximates a world-
wide-representative sample of adults aged 15 and older. We found
that satiation is a worldwide phenomenon but varies considerably
based on SWB type, world region and education. These results
carry important implications for stakeholders at multiple levels.
Individuals often feel strong pressures to achieve high incomes13,
and establishing points of satiation might advise their chosen aspi-
rations and values. For organizations, an understanding of satiation
effects might inform employee pay structures14, and for govern-
ments, it can help motivate policies directed towards wealth redistri-
bution15. Establishing satiation points also enriches our theoretical
understanding of the relationship between income and happiness,
which is often contested as either providing the fulfilment of needs
(the human needs model9, where income leads to SWB) or desires
(the relative standards model6, where income does not lead to SWB
or even leads to decrements in SWB). The presence of satiation
would point to different income ranges in which these theoretical
accounts function.
In our analyses, the income variable was yearly household equiv-
alized income—a measure that can be interpreted as US dollars
and controls for the number of individuals within a household (see
Supplementary Table1 for descriptive statistics and Supplementary
Methods for more details on this income variable). We fit spline
regression models16 to the data and then located the point at which
the slope of log income reached zero when regressed on SWB after
controlling for relevant factors. We then conducted confirmatory
hypothesis tests using Bayes factors17 to compare the SWB level at
satiation against the SWB of all higher incomes. The Bayes factor is
the Bayesian alternative to the P value, and it allowed us to quantify
support for the null hypothesis of no income difference (as opposed
to the P value, which can only fail to reject the null). The Bayes fac-
tor can be interpreted as how many times more likely a particular
hypothesis is compared with its alternative17,18. For all Bayes factors
Happiness, income satiation and turning points
around the world
Andrew T. Jebb1*, Louis Tay 1, Ed Diener2 and Shigehiro Oishi2
NATURE HUMAN BEHAVIOUR | VOL 2 | JANUARY 2018 | 33–38 | www.nature.com/nathumbehav 33
The Nature trademark is a registered trademark of Springer Nature Limited.
... This is helpful in relation to the rst issue (differentiating LE/LS/H), but is also valuable in its own right. There is a vast literature on factors associated with E-SWB, including systemic factors such as national economics, 26 governance quality, 27 political/economic freedom, 28 community infrastructure, 29 and social capital, 30 demographic factors like income, 31 age, 32 sex, 33 sexuality, 34 and race/ethnicity, 35 and childhood factors such as Adverse Childhood Experiences. 36, 37 One issue however with many studies is a relatively limited coverage of factors, with most publications tending to focus on just a handful, and often just one key factor (together with relevant confounders). ...
... The SWB metric also matters: one analysis of GWP data found that although LE showed a slight U-shaped pattern, positive affect (measured dichotomously based on items on H, enjoyment, and smiling/laughing on the previous day, then averaged) decreased with age globally and across regions. 31 In our data though H aligned with LE and LS in being higher in older age, suggesting our H item may not index positive affect but rather E-SWB, as argued above. Moreover, rather than U-shaped, our trends are more "J-shaped," with the 80 + group having scores 0.48 (LE), 0.39 (LS), and 0.43 (H) points higher than those 18-24. ...
... While not all factors are amenable to intervention/policy, focusing on those that are may provide meaningful improvements, particularly for people most in need. Most analyses of SWB-related factors show steeper improvement trajectories for those worse off, as for example with income satiation, 31 where the impact of income gains on SWB diminishes the richer people are. While one would want to improve SWB for all, it may be more effective, and more morally worthy, to prioritize helping those with the lowest SWB. ...
Preprint
Full-text available
Despite a vast literature on subjective wellbeing (SWB), issues remain, including (a) debates around which concepts best represent it, (b) disjointed understanding of relevant factors, and (c) limited appreciation of cross-national variation regarding (a) and (b). We address these using data from the Global Flourishing Study on three constructs pertaining to evaluative SWB (life evaluation, life satisfaction, and, more ambiguously, happiness), examining associations with 15 childhood and demographic factors in 202,898 participants from 22 countries. Key findings include, for (a), life satisfaction being the best performing construct (in correlations with overall flourishing), (b) all factors being significantly associated with all constructs (with the largest variation for employment status among demographic factors and self-reported health among childhood factors), and (c) patterns varying substantively across countries (suggesting the general trends are not universal but differ according to local socio-cultural dynamics). The findings advance the methodological, socio-demographic, and cross-national understanding of evaluative SWB.
... Research on this question is deeply rooted in a rich scholarly work that examines the relationship between income and subjective wellbeing metrics (Diener et al., 1993;Diener & Biswas-Diener, 2002;Easterlin, 2001;Clark et al., 2008). A significant segment of this literature has been dedicated to exploring the concept of well-being satiation, positing that beyond a certain income threshold, further increases in income do not contribute to greater well-being (Kahneman & Deaton, 2010;Jebb et al., 2018;Killingsworth, 2021;Killingsworth et al., 2023). Conversely, the investigation into the relationship between personal wealth-total assets minus liabilities-and happiness and life satisfaction has been less extensive, mainly due to the scarcity of comprehensive and reliable wealth data (Diener et al., 1985;Brown & Gray, 2016;D'Ambrosio et al., 2020). ...
... As suggested by an anonymous reviewer, I also estimated the relationship using spline regression models (seeJebb et al., 2018). The findings remained robust to this change (results available upon request). ...
Article
Full-text available
The relationship between wealth and well-being is less studied compared to income due to limited high-quality data on assets and debts. Wealth, rather than income, better captures an individual’s economic position. This paper uses data from the Household Finance and Consumption Survey across 19 European countries and 87,335 observations to analyze the link between household wealth and life satisfaction. The findings show significant heterogeneity across countries regarding wealth satiation, where additional wealth no longer increases life satisfaction. Most countries show no increased life satisfaction for individuals with net wealth over 1 million euros. However, in Spain, Italy, and Malta, wealth satiation occurs at higher thresholds, between 2 and 3 million euros. This indicates that the impact of high wealth on well-being is complex and varies significantly across different cultural and economic contexts.
... On the other hand, higher income is considered to bring a better psychological state (Deaton, 2008;Diener et al., 2010;Killingsworth, 2021). While some studies highlight the existence of a saturation point in this relationship, beyond which further increases in monetary assets do not improve happiness (Jebb et al., 2018;Kahneman & Deaton, 2010), recent evidence shows that the saturation is evident primarily among the least happy individuals, whereas happiness steadily increases along with income among happier individuals and even accelerates within the happiest group (Killingsworth et al., 2023). ...
Article
Full-text available
Evidence shows higher education (HE) leads to such socio-economic outcomes as better jobs, income, and happiness. While this implies HE demonstrates multifaceted values incorporating economic benefits and non-pecuniary public good, their causal relationship and longitudinal trends remain empirically elusive. Using data from the General Social Survey over 50 years in the USA (1973–2022, N = 35,483), we conduct causal mediation analysis to examine the effect of college completion on happiness, including indirect pathways through occupational attainment and income. The results reveal that the overall happiness return to HE has increased over 45 years, followed by a nosedive in 2021–2022 during the COVID-19 pandemic. In the mid-1970s, HE contributed to happiness primarily via occupations, whereas the direct HE-happiness linkage conditional on economic rewards showed a negative sign. However, the relative impact of jobs subsided while the mediating role of income net of occupations increased. Meanwhile, the happiness return to postgraduate degrees has been consistently mediated by occupations. Notably, these premiums for HE are formed in tandem with declining happiness levels among less-educated individuals. We thus argue (1) HE may contribute to relatively better non-pecuniary outcomes like subjective well-being, underpinned by enhanced economic benefits, through different mechanisms for undergraduates and postgraduates; (2) this HE effect emerges alongside marginalization of the less educated; and (3) HE policy/practice should consider both potentially positive and adverse effects on college completers and non-completers to fulfill its public good role. Given that macro-socioeconomic conditions may affect these dynamics, we also call for further comparative studies in this field.
... Other scholars, based on data from the China Family Panel Studies, have found that increased income improves mental health [29] (Chen et al., 2021). Numerous empirical studies have also shown that absolute income can improve subjective well-being and enhance mental health [21][45] [49] (Stevenson & Wolfers, 2013;Jebb et al., 2018;Li et al., 2022). ...
Article
Full-text available
The development of the digital economy is reshaping how the society operates and profoundly impacting residents’ mental health. This paper utilizes data from five waves (2012, 2016, 2018, 2020, and 2022) of the China Family Panel Studies (CFPS) and applies a two-way fixed-effects model for analysis. The results show that: (1) Digital economy development has a direct and positive impact on the mental health of Chinese residents. (2) The digital economy indirectly improves mental health levels by mitigating income inequality and increasing individual absolute income. (3) The impact pathway of the digital economy on residents' mental health exhibits group differences based on gender, age, and employment status. Based on these findings, we should deepen the construction and universalization of digital infrastructure, build a multi-level digital skills training system, implement precise policy interventions, and improve supporting systems for the digital economy.
Preprint
Full-text available
This chapter revisits the scholarship on life satisfaction in Eastern Europe. We first look at the broader drivers of life satisfaction identified in the literature. Then, we discuss the 'happiness gap' in Eastern Europe-the observed difference between the self-declared happiness of residents of former communist countries and the residents of other countries. Explanations for the happiness gap are considered, with a focus on Eastern Orthodox religion.
Article
The relationship between income and subjective well-being (SWB) has been widely studied. While previous research has shown that the correlation between income and SWB is not always strong, there is limited research examining how the choice of SWB index influences this relationship. Drawing on survey data collected from 32 countries between 2015 and 2017, this study explores how the income–SWB relationship varies across different SWB indices. The dataset encompasses both developed and developing nations. We analyzed six types of SWB indices documented in the literature—covering a broader range than is typically included—and conducted comparative analyses. To account for the possibility of a nonlinear relationship between income and these SWB measures, we used a semiparametric approach by applying generalized additive models. Our findings show that these six indices can be categorized into three groups: (1) mental health and affect balance, (2) subjective happiness and eudaimonia, and (3) life satisfaction and the Cantril Ladder. These results underscore the significant impact that the selected SWB index can have on the income–SWB relationship. While economic development is often assumed to enhance SWB, our analysis reveals that this relationship does not hold consistently across all SWB indicators. In particular, certain indicators show little or no improvement in well-being despite increasing income levels, suggesting the presence of excessive or inefficient consumption that fails to contribute to genuine human flourishing. These findings challenge the conventional growth-centric paradigm and call for a deeper societal and academic inquiry into what constitutes “true prosperity.” From a sustainability perspective, aligning economic progress with authentic improvements in well-being is essential. This requires not only more careful selection and interpretation of SWB metrics, but also a broader re-evaluation of consumption patterns and policy goals to ensure that future development contributes meaningfully to human and ecological well-being.
Article
Full-text available
China is undergoing rapid social transformation, with men facing significant pressures and challenges, particularly in terms of careers, family responsibilities, and social competition. The conflict between traditional gender roles and modern societal demands may profoundly affect men's subjective well-being. This study, based on data from the China Family Panel Studies (CFPS), constructs a research model incorporating six variables to explore the impact of different types of social networks (family-centered, neighbor-centered, and diverse networks) and social media use on men's subjective well-being. Through K-means cluster analysis and hierarchical regression, the study finds that family-centered social networks significantly positively influence men's subjective well-being, while neighbor-centered networks show no significant effect, reflecting the family-centric cultural characteristics of Chinese society. Social media use also positively affects subjective well-being, highlighting its role in expanding social connections and enhancing social support in the digital era. This research enriches the application of social support theory and digital social capital theory in non-Western contexts and provides new evidence for understanding the importance of family-centered social networks.
Article
Full-text available
The convergent and discriminant validities of well-being concepts were examined using multitrait–multimethod matrix analyses (D. T. Campbell & D. W. Fiske, 1959) on 3 sets of data. In Study 1, participants completed measures of life satisfaction, positive affect, negative affect, self-esteem, and optimism on 2 occasions 4 weeks apart and also obtained 3 informant ratings. In Study 2, participants completed each of the 5 measures on 2 occasions 2 years apart and collected informant reports at Time 2. In Study 3, participants completed 2 different scales for each of the 5 constructs. Analyses showed that (a) life satisfaction is discriminable from positive and negative affect, (b) positive affect is discriminable from negative affect, (c) life satisfaction is discriminable from optimism and self-esteem, and (d) optimism is separable from trait measures of negative affect.
Article
Full-text available
This article describes the construction of the Conformity to Masculine Norms Inventory (CMNI), and 5 studies that examined its psychometric properties. Factor analysis indicated 11 distinct factors: Winning, Emotional Control, Risk-Taking, Violence, Dominance, Playboy, Self-Reliance, Primacy of Work, Power Over Women, Disdain for Homosexuals, and Pursuit of Status. Results from Studies 2–5 indicated that the CMNI had strong internal consistency estimates and good differential validity comparing men with women and groups of men on health-related questions; all of the CMNI subscales were significantly and positively related to other masculinity-related measures, with several subscales being related significantly and positively to psychological distress, social dominance, aggression, and the desire to be more muscular, and significantly and negatively to attitudes toward psychological help seeking and social desirability; and CMNI scores had high test–retest estimates for a 2–3 week period.
Article
Full-text available
According to the hedonic treadmill model, good and bad events temporarily affect happiness, but people quickly adapt back to hedonic neutrality. The theory, which has gained widespread acceptance in recent years, implies that individual and societal efforts to increase happiness are doomed to failure. The recent empirical work outlined here indicates that 5 important revisions to the treadmill model are needed. First, individuals’ set points are not hedonically neutral. Second, people have different set points, which are partly dependent on their temperaments. Third, a single person may have multiple happiness set points: Different components of well-being such as pleasant emotions, unpleasant emotions, and life satisfaction can move in different directions. Fourth, and perhaps most important, well-being set points can change under some conditions. Finally, individuals differ in their adaptation to events, with some individuals changing their set point and others not changing in reaction to some external event. These revisions offer hope for psychologists and policymakers who aim to decrease human misery and increase happiness.
Article
Full-text available
Unplanned optional stopping rules have been criticized for inflating Type I error rates under the null hypothesis significance testing (NHST) paradigm. Despite these criticisms, this research practice is not uncommon, probably because it appeals to researcher's intuition to collect more data to push an indecisive result into a decisive region. In this contribution, we investigate the properties of a procedure for Bayesian hypothesis testing that allows optional stopping with unlimited multiple testing, even after each participant. In this procedure, which we call Sequential Bayes Factors (SBFs), Bayes factors are computed until an a priori defined level of evidence is reached. This allows flexible sampling plans and is not dependent upon correct effect size guesses in an a priori power analysis. We investigated the long-term rate of misleading evidence, the average expected sample sizes, and the biasedness of effect size estimates when an SBF design is applied to a test of mean differences between 2 groups. Compared with optimal NHST, the SBF design typically needs 50% to 70% smaller samples to reach a conclusion about the presence of an effect, while having the same or lower long-term rate of wrong inference. (PsycINFO Database Record
Chapter
The question of what constitutes the good life has been pondered for millennia. Yet only in the last decades has the study of well-being become a scientific endeavor. This book is based on the idea that we can empirically study quality of life and make cross-society comparisons of subjective well-being (SWB). A potential problem in studying SWB across societies is that of cultural relativism: if societies have different values, the members of those societies will use different criteria in evaluating the success of their society. By examining, however, such aspects of SWB as whether people believe they are living correctly, whether they enjoy their lives, and whether others important to them believe they are living well, SWB can represent the degree to which people in a society are achieving the values they hold dear. The contributors analyze SWB in relation to money, age, gender, democracy, and other factors. Among the interesting findings is that although wealthy nations are on average happier than poor ones, people do not get happier as a wealthy nation grows wealthier. Bradford Books imprint
Article
1. Fundamental notions 2. Direct probabilities 3. Estimation problems 4. Approximate methods and simplifications 5. Significance tests: one new parameter 6. Significance tests: various complications 7. Frequency definitions and direct methods 8. General questions