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AI Summary. Nearly one in four people in Canada are immigrants, the largest share among the Group of Seven nations. At its current pace of population growth, Canada — the smallest G-7 country by population — would double its residents in about 26 years and exceed Italy, France, the UK and Germany.
Randy Thanthong-Knight BloombergCore argument: Nearly one in four people in Canada are immigrants, the largest proportion among the Group of Seven nations.
Nearly one in four people in Canada are now immigrants, the largest proportion among the Group of Seven nations. At the current pace of growth, the smallest G-7 country by population would double its residents in about 26 years, and surpass Italy, France, the UK and Germany by 2050.AI Summary. Across surveyed countries, intended fertility and the ideal number of children both declined, while children came to be seen more as a constraint on parental freedom and less as a source of status. Gender roles grew less traditional and housework more equally shared, yet the belief that a fulfilled life requires children weakened most of all attitudes measured.
Raquel Fernández, Inés Berniell and Milagros Onofri National Bureau of Economic ResearchCore argument: Intended fertility fell in every Generations and Gender Survey country, from 28% to 21% on average, while the ideal number of children fell in 17 of 22 International Social Survey Programme countries, from 2.42 to 2.31.
Figure 1 documents how fertility outcomes and attitudes changed over the decade. Intended fertility fell in every GGS country, from 28 to 21% on average (Figure 1a). The ideal number of children fell in 17 of the 22 ISSP countries, from 2.42 to 2.31 on average (Figure 1b). [Children] became more likely to be seen as constraining parental freedom and less likely to be seen as conferring status (Figure 1c). Gender roles became less traditional, and the division of household work became more equal [Figures 1i]. Despite this greater sharing of chores and care, work–family conflict rose sharply. The decade saw changes that might have been expected to make the burden of children lighter, at least for women. Simultaneously, however, children became less attractive and, above all, less necessary: the belief that a fulfilled life requires children lost more ground than any attitude we measure [Table 2, Part II, Panel B].AI Summary. Global fertility is likely below the replacement level needed to keep population constant in the long run, though population momentum from large cohorts of women now having children means world population will keep growing for roughly another 30 years. Unless trends change, it is projected to peak near 9bn around 2056 and then decline.
Jesús Fernández-Villaverde and Patrick Norrick University of PennsylvaniaCore argument: As of 2026, humanity is likely to be below replacement fertility, with fewer births than needed to keep population constant in the long run.
In Table A1 we compare the World Population Prospects (WPP) estimates of births in 2022-2023 with the official numbers reported by several countries. [A2 shows the full sample with the deviations.] As of 2026, humanity is likely to be below the replacement fertility level: we are having fewer births than we need to keep population constant in the long run. This astonishing fact does not mean that population has stopped growing. Because of momentum effects (the large cohorts of women born two or three decades ago are having their children now, and their own parents have not died yet), world population will keep growing for another 30 years or so. But unless trends change, it will peak at roughly 9 billion around 2056 and then start falling, first slowly, then fast.AI Summary. Immigration from Asia and Latin America has been the chief driver of rising US diversity and the declining non-Hispanic White share of the population. Intermarriage across racial and ethnic lines is far more common among Hispanic and Asian Americans, and rising among Black and non-Hispanic White Americans, leaving more people outside single racial categories.
Justin Fox BloombergCore argument: Immigration from Asia and Latin America since the 1960s has been the chief driver of rising U.S. diversity and the declining non-Hispanic White share of the population.
The increase in immigration from Asia and Latin America since the 1960s has been the chief driver of the rise in diversity and decline in the non-Hispanic White share of the population. But those immigrants have been doing what generations of immigrants before them did and, well, becoming Americans. Marriages across racial and ethnic lines are much more prevalent among Hispanic and Asian Americans than Black or non-Hispanic White Americans, while intermarriage rates have been rising steadily for the latter two groups, too. As a result, a growing share of Americans just isn’t going to fit neatly into any single racial or ethnic category that the US government can come up with.AI Summary. The surge of baby boomers, women, and immigrants entering the US labor force between 1960 and 1980 was difficult for the economy to absorb, and young workers' wages fell sharply after peaking in the early 1970s. The author argues those entrants kept occupying jobs and suppressing demand for new workers until retirement.
Steven Ruggles Proceedings of the National Academy of SciencesCore argument: Wages for young U.S. workers declined sharply after peaking in 1973, as the economy struggled to absorb the influx of workers entering the labor force between 1960 and 1980 from the baby-boom cohort, rising female participation, and increased immigration.
Figure 3A highlights the influx of workers that occurred between 1960 and 1980, as the large baby-boom cohort entered the labor force, female labor-force participation expanded, and immigration rose [see Figure 2 for a detailed breakdown]. It was difficult for the economy to absorb all the new workers, and wages for young people declined sharply after peaking in 1973. Figure 3A does not, however, provide a valid measure of labor-market competition because the baby boomers and newly employed women and immigrants did not suddenly vanish after they entered the labor force; they kept working and occupying jobs until they eventually retired decades later. The glut of workers entering the labor force in the 1970s would continue to stifle demand for new workers until their eventual exit from the labor force, a process that is still in progress. The index of employment competition shown in Figure 3B is [a better] measure of relative cohort size than 3A. It represents the cumulative net labor-market entries over the previous five decades as a % of the working-age population in the current decade. As shown in Figure 1C, we are already seeing signs of an uptick in the wages of young workers, and as the demographic shortage accelerates we may finally see real wages of the young exceed the levels of the early 1970s.AI Summary. A 1pp lower birth rate 20 years earlier is associated with 22 log points higher output per worker 20 years later and 29 log points higher after 40 years, about 0.73pp faster annual growth. The authors find lower birth rates are also associated with more labor-saving patents, larger high-tech shares, and higher productivity growth.
Daron Acemoglu, David Autor, Keelan Beirne and Andrew Scott National Bureau of Economic ResearchCore argument: A 1pp lower birth rate 20 years earlier is associated with 22 log points higher GDP per worker at t+20 and 29 log points by t+40, roughly 0.73 percentage points faster annual growth over the 40-year interval.
Figure 3 traces out how GDP per worker evolves following a 1pp increase in birth rates at t−20. Since cohorts born at t−20 (e.g., 1970) do not enter the working-age population until t = 0 (e.g., 1990), we should observe no response before t = 0; [indeed] the estimated coefficients are ~0 and statistically insignificant before t = 0. Beginning at t = 0, however, higher birth rates are associated with lower GDP per worker, and the negative effects grow progressively larger over time. For example, a 1pp lower birth rate at t−20 is associated with 22 log points higher GDP per worker at t+20 and 29 log points higher by t+40. The latter corresponds to roughly 0.73 percentage points faster annual growth over the 40-year interval. We find that lower birth rates are associated with more labor-saving patents and a growing share of high-tech industries across countries and US commuting zones [Figure 11]. They are also predictive of higher TFP growth across countries and US industries and increased patenting in ICT and broader automation technology classes. Using cross-country variation in WWII-era military and civilian deaths, we present suggestive evidence that the positive growth effects of falling birth rates are primarily driven by the scarcity of younger workers rather than by reductions in population per se [Figure 14]. [Editor’s note: the paper does not grapple with the fiscal consequences of an aging population.]AI Summary. Running standard demographic models—including the Cohort-Component, United Nations World Population Prospects, Lee-Carter, and Lotka-Volterra approaches—across all plausible analytical choices yields a wide range of possible global population outcomes for 2050 and 2075. The authors argue that presenting a single population trajectory hides the compounding uncertainty inherent in such projections.
Samuele Lo Piano, Marta Kuc-Czarnecka, Roger Pielke, and Andrea Saltelli Social Science Research NetworkCore argument: Propagating all plausible analytical choices through global population projections to 2050 and 2075 yields wide overall uncertainty distributions, with the Cohort-Component, UN World Population Prospects, Lee-Carter and Lotka-Volterra models showing distinct sensitivities and outcomes.
We explore demographic predictions by propagating all plausible choices that can be made during the analysis through the modelling process. This approach involves navigating the so-called ’garden of forking paths’—mimicking in silico what would happen if multiple investigators were to examine the same problem. For this, we now abandon [the Chinese government mathematician] Song Jian’s ‘historic’ model and turn to models currently in use: the Cohort-Component and UN WPP models, the Lee-Carter model and the Lotka-Volterra model. Note that in standard use, these tools are used in isolation, see e.g. the FAO’s How to Feed the World in 2050, resting on a single UN WPP population trajectory shielding the reader from the compounding effect of their uncertainty. Unsurprisingly, the exercise capturing the modelling of the modelling process for global population projections to 2050 and 2075 reveals distinct characteristics regarding the sensitivity and projection outcomes of the different models. Once abandoned the straitjacket of Song’s approach, uncertainty is free to manifest itself. The overall uncertainty distributions of the projected populations show a wide range of possible outcomes, reflecting the inherent uncertainties in demographic projections.