Becoming a Net Receiver of International Migrants: An Age-Structural Model of the Shift to Persistently Positive Net Migration Rates

This study adheres to a logistic regression modeling protocol originally developed for long-range intelligence analyses and employs data from UN demographic estimates (the 2024 revision) to generate a set of statistical functions that suggest a moderately strong relationship between increasing median age and the probability of a persistently positive international net migration rate (NMR). According to this relationship, the post-Cold War probability (data from 1990 to 2015) of experiencing a persistently positive net migration rate (defined as a +NMR, directly followed by five consecutive years of +NMRs) rose from less than 0.12 at a population median age of 15 years, to a probability greater than 0.55 at 36 years, and then to more than 0.77 at 45 years. The author hypothesizes a speculative set of predictions aimed at providing long-term tests for this model. These predictions assume that, by a median age of 36.0 years, at least one country in the hypothesized cluster of countries will have shifted to experiencing a series of +NMRs. If, as this model predicts, the age-structurally associated transition to sustained +NMRs transpires by 2055, there could be a substantially larger pool of migrant net-receiving states in parts of Asia, Latin America, and North Africa than the UN’s future scenarios currently project.

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Publication Details

Journal
Populations
Published
2026-03-16
DOI
https://doi.org/10.3390/populations2010009
Primary Topic
Migration and Labor Dynamics
Type
article
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article

Becoming a Net Receiver of International Migrants: An Age-Structural Model of the Shift to Persistently Positive Net Migration Rates

Richard P. Cincotta
Populations
Migration and Labor Dynamics
article

Becoming a Net Receiver of International Migrants: An Age-Structural Model of the Shift to Persistently Positive Net Migration Rates

Richard P. Cincotta
article en

Abstract

This study adheres to a logistic regression modeling protocol originally developed for long-range intelligence analyses and employs data from UN demographic estimates (the 2024 revision) to generate a set of statistical functions that suggest a moderately strong relationship between increasing median age and the probability of a persistently positive international net migration rate (NMR). According to this relationship, the post-Cold War probability (data from 1990 to 2015) of experiencing a persistently positive net migration rate (defined as a +NMR, directly followed by five consecutive years of +NMRs) rose from less than 0.12 at a population median age of 15 years, to a probability greater than 0.55 at 36 years, and then to more than 0.77 at 45 years. The author hypothesizes a speculative set of predictions aimed at providing long-term tests for this model. These predictions assume that, by a median age of 36.0 years, at least one country in the hypothesized cluster of countries will have shifted to experiencing a series of +NMRs. If, as this model predicts, the age-structurally associated transition to sustained +NMRs transpires by 2055, there could be a substantially larger pool of migrant net-receiving states in parts of Asia, Latin America, and North Africa than the UN’s future scenarios currently project.

PopulationsVol. 2(1)
Woodrow Wilson International Center for Scholars (US), George Mason University (US)
Reduced inequalities
Openalex Percentile: Top 25%
Migration and Labor Dynamics
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Becoming a Net Receiver of International Migrants: An Age-Structural Model of the Shift to Persistently Positive Net Migration Rates — Richard P. Cincotta · Populations (2026) | TGRS Research Map | TGRS