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Codex Populi · Printed from codexpopuli.org · latest release 2026.10.1
Codex Populi
World

World

8.09B
Population · 2023
0.87%
Growth rate · 2023
2.25
Fertility rate · 2023
73.2 yrs
Life expectancy · 2023

Latest estimates · UN 2024

News

NewsOur World in DataHannah Ritchie17 Aug 2026

Which countries have already passed peak population, and when will the rest do so?

AI summaryFalling fertility rates are driving structural population decline in many countries, with some nations having already passed their peak population as others approach it.

Research

Preprintcrossref-catchall7 Oct 2026

Demographic Transition, Low Fertility, and the Fermi Paradox: A Probabilistic Filter on Civilizational Expansion and Detectability

AI summaryThis paper proposes a novel demographic interpretation of the Fermi paradox, suggesting that demographic transition—characterized by low fertility, population ageing, and shifting reproductive priorities—may act as a non-extinctionary, conditional filter that reduces civilizations' expansionary pressure and detectability after reaching technological maturity. Using human demographic trends as an empirical analogue rather than a universal law, the authors test four stylized pathways (growth-expansion, demographic homeostasis, low-fertility automation, and post-biological decoupling) to separate technological capability from expansionary motivation and institutional continuity. The framework argues that demographic regimes should be explicitly incorporated as variables in long-term models of technological civilizations and SETI research.”

Abstract

The Fermi paradox is often framed as a discrepancy between the apparent opportunities for technological civilizations to emerge and expand and the absence of unambiguous evidence for them. This paper develops a demographic interpretation of that problem by asking whether demographic transition can operate as a post-technological probabilistic filter on civilizational expansion and detectability. Drawing on demographic transition theory, research on low fertility and population ageing, long-run population projections, and the SETI and futures literatures, the paper treats low fertility as an imperfect empirical proxy for a broader transformation in social reproduction. Mortality decline, reproductive control, ageing, intensive investment in new generations, and changing intergenerational priorities may reduce population-driven expansion pressure and increase the opportunity costs of long-duration settlement. The proposed filter is non-extinctionary and conditional: it applies most plausibly to biological civilizations with costly reproduction and generational institutions. Human demographic trajectories are used as an empirical analogue, not as a universal law for extraterrestrial life. Four stylized pathways are used as stress tests: growth-expansion, demographic homeostasis, low-fertility automation, and post-biological decoupling. The framework separates technological capability from expansionary motivation, institutional continuity, and detectability, and shows why demographic regimes should be treated as explicit variables in long-term models of technological civilizations.

Preprintnber28 Sep 2026

Optimal Population Growth in the Diamond OLG Model -- by Laurence M. Ball

AI summaryThis paper by Laurence M. Ball examines how population growth affects welfare in an OLG model, noting that slower population growth raises output per worker while lowering the ratio of workers to retirees. Under mild parameter restrictions, an optimal population-growth rate exists that maximizes steady-state welfare, and this rate could be negative, implying population shrinkage may be optimal. The analysis also shows that introducing a pay-as-you-go social security system lowers the optimal population-growth rate.

Abstract

This paper studies the effects of population growth on welfare in an OLG model, in which lower population growth raises output per worker but also reduces the ratio of workers to retirees. Under fairly mild restrictions on the model’s parameters, there exists an optimal population-growth rate—one that maximizes steady-state welfare. This growth rate may well be negative: it may be optimal for the population to shrink over time. The introduction of a pay-as-you-go social security system reduces the optimal population-growth rate.

Papernber28 Sep 2026

Does Fertility Stabilize At Low Levels? Evidence from Period, Cohort, and Subnational Data -- by Diane Coffey, Michael Geruso, Dean Spears, Sangita Vyas

AI summaryThis paper examines whether fertility rates stabilize at low levels, challenging assumptions in many population projections that fertility will rebound or reach equilibrium once it falls low. Using UN period data (1950-2023), Human Fertility Database cohort data (1935-1975 across 31 countries), and subnational data from Japan, India, and the US, the authors find no robust evidence of a systematic rebound or stable equilibrium; instead, fertility tends to keep declining once it becomes low. The findings reconcile earlier reports of fertility reversals in some countries during the early 2000s and suggest a need to reexamine equilibrium and rebound assumptions in widely used population projections.

Abstract

Many population projections used by international and government agencies assume that, in today's low-fertility societies, future fertility rates will stop declining and roughly stabilize. This paper assesses the evidence for an equilibrium point or rebound from low levels. We show that there is no robust evidence for a systematic fertility rebound, or for a stable equilibrium point at any fertility level conventionally assumed. Instead, where and when fertility has fallen low, it has tended to keep falling. This is true across a range of data sources, time periods, and fertility measures: United Nations data on period total fertility rates for all country-years from 1950 to 2023; Human Fertility Database data on completed fertility for cohorts born between 1935 and 1975 in 31 countries; and fertility rates in subnational geographies in Japan, India, and the United States. We reconcile these results with a prior literature that documented fertility reversals among some low-fertility countries in the early 2000s. Our findings provide an empirical basis for re-examining the equilibrium and rebound assumptions embedded in widely used population projections.

Papernber28 Sep 2026

Terra Incognita: The Economics of a Shrinking World -- by Jesús Fernández-Villaverde, Patrick Norrick

AI summaryFernández-Villaverde and Norrick argue that humanity has likely fallen below replacement fertility for the first time, with declines concentrated in low- and middle-income countries and among poorer, less educated women. Using a single-factor model across 236 countries since 1950, they find a common fertility component peaked in 1978, while country-specific negative trends now dominate, none leveling off; they attribute this to modernity making additional children costly and childlessness cheap, with no economic mechanism pushing fertility back up. They conclude by outlining economic consequences, notably slower growth.

Abstract

As of 2026, humanity is likely below replacement fertility. That has never happened before, not in wars or pandemics. But the real surprise is that the fall has been concentrated in low- and middle-income countries and among poorer and less educated women. We fit a single-factor model to 236 countries since 1950: the common component peaked in 1978, and what drives fertility down today are country-specific trends, 219 of them negative and not one leveling off. None of the commonly cited mechanisms can account for this pattern, so we offer a conjecture: modernity itself, which makes a third child expensive and childlessness cheap. Children come in integers, so it takes very little to move a cohort’s fertility rate from 1.8 to 1.3. And nothing in an economy pushes fertility back to 2.1. We close with the main economic consequences, in particular slow growth.