Global Demographics Comparison: Economic Competitiveness & Import/Export Trends

• Four population pyramids below chosen to represent broad demographic categories among America’s primary trading partners.[1]
• Mexico (median age 30): Broad-based, expansive pyramid with a deep labor pool that has helped it become the largest U.S. trading partner.
• China (median age 40) and Germany (median age 45): Constrictive pyramids (largest cohorts aged 40–60) as decades of low fertility contribute to labor shortages.
• United States (median age 39): Transitional demographic profile. Below-replacement fertility of 1.6 births per woman, but with an age structure still shaped by immigration that has historically prevented the severe aging patterns visible in many other developed nations.

▶ Explore Population Pyramids by Country and Category, 1950–2050

Notes

Source. United Nations Population Division, World Population Prospects 2024 Revision, medium variant, files WPP2024_PopulationByAge5GroupSex_Medium and WPP2024_Demographic_Indicators_Medium. Population is measured as of 1 July. Figures through 2023 are estimates; 2025 and later are medium-variant projections, and the year tag changes to read Projection past that boundary.

Bands. Eighteen five-year bands, 0–4 through 80–84 plus 85 and over. WPP resolves to 100 and over; the top four bands are combined so the band structure matches the U.S. and state charts on the U.S. Demographics page exactly and the three can be read against one another.

Shading. Pew Research Center generation boundaries are United States definitions and carry no meaning elsewhere, so this chart shades by broad age group (0–14, 15–64, 65 and over) instead. That is also the division the old-age dependency ratio is built on, so the bars and the statistics below them describe the same thing.

Median age. The figure shown is the MedianAgePop indicator as published by WPP, so it matches the tables on this page and anything a reader finds at the source. Interpolating WPP’s own five-year bands, which is the method the U.S. and state charts use, returns a figure about one year higher in every country and every year: for Japan in 2025 the bands place 48.8% of the population below age 50, putting the grouped median at 50.8 against 49.8 published. Total population reconciles exactly between the two WPP files, so this is a definitional difference in the indicator rather than a discrepancy in the data. The grouped value is carried alongside the published one in the data file.

Coverage. Thirty-three economies at five-year intervals from 1950 to 2050. The six category buttons select that category’s exemplar; the dropdown reaches every economy in the comparative table below.

Key Observations

Six demographic categories

The four economies charted above were selected as trading partners. The categories below are selected on a different rule: to span the full range of age structures that exist anywhere in the world. The two lists are not the same, and the final column reconciles them. It records which categories the United States actually trades with, and the answer is that American goods trade is concentrated almost entirely in the aging half of the world. Of the six categories, the youngest has no member in the U.S. top fifteen trading partners and the next youngest has one.

Categories are defined by mechanism rather than by geography: how an economy arrived at its present age structure, and where that structure goes next. Fertility relative to the replacement rate of roughly 2.1 births per woman is the primary sorting variable, with the pace and cause of the transition separating categories that share a fertility band. Four economies do not sit cleanly on that ladder and are treated separately below rather than forced onto it.

Thirty-three economies classified, plus four listed separately below. Median age, fertility and working-age peak year from UN World Population Prospects 2024 Revision, medium variant. Trading-partner ranks from the U.S. Census Bureau, goods only on a Census basis, year to date May 2026. (demographics-global.xlsx)

Category definitions and member statistics

▶ 1 Advanced Aging (Germany)

What defines it. Fifty years of sub-replacement fertility, partly offset by immigration. The oldest structures outside East Asia, reached gradually over two generations rather than by shock.

Typical profile. Pyramid shape constrictive; representative region Developed Europe.

Country	Median age	TFR	Share 65+	Working-age peak	GDP/capita	Robots per 10K	U.S. goods trade
Italy	48.2	1.21	25.1%	1992	$37,140	n/p	#14 $50B
Germany	45.5	1.35	23.7%	1997	$52,820	449	#8 $98B
Spain	45.9	1.23	21.6%	2009	$33,090	n/p	outside top 15
Greece	46.8	1.34	24.4%	2009	$23,370	n/p	outside top 15
Portugal	46.9	1.52	24.9%	2008	$28,380	n/p	outside top 15

▶ 2 Compressed Aging (Japan)

What defines it. Reached European age structures in roughly half the time, with almost no immigration to cushion the transition. South Korea’s fertility rate of 0.75 births per woman is the lowest ever recorded for a nation state. China sits at the young end of this group and arrived by a different route: the one-child policy (1980–2015) cut a visible notch in its pyramid that will move up the age structure for the next fifty years, so China is a decade younger than Japan but aging faster.

Typical profile. Pyramid shape constrictive; China notched; representative region North Asia.

Country	Median age	TFR	Share 65+	Working-age peak	GDP/capita	Robots per 10K	U.S. goods trade
Japan	49.8	1.23	30.0%	1995	$33,630	446	#6 $99B
South Korea	45.6	0.75	20.3%	2017	$33,150	1,220	#7 $98B
China	40.1	1.02	14.9%	2015	$12,970	166	#3 $150B

▶ 3 Immigration-Sustained (United States)

What defines it. Fertility is below replacement, but the age structure is a function of migration policy rather than births. These are the only wealthy economies where the shape of the pyramid remains a live policy variable rather than a demographic given.

Typical profile. Pyramid shape stationary; representative region United States, Canada, Australia.

Country	Median age	TFR	Share 65+	Working-age peak	GDP/capita	Robots per 10K	U.S. goods trade
United States	38.5	1.60	18.4%	after 2100	$85,370	307	reference
Canada	40.6	1.33	20.3%	after 2100	$55,090	241	#2 $308B
United Kingdom	40.1	1.54	19.7%	2044	$49,070	112	#9 $79B
France	42.3	1.64	22.5%	2011	$44,410	n/p	#15 $48B
Australia	38.3	1.64	18.1%	after 2100	$65,370	n/p	outside top 15

▶ 4 Dividend Open (Mexico)

What defines it. Fertility has already fallen below replacement but the age structure has not caught up, so the working-age share is at or near its all-time peak. This is the group with the demographic dividend still open, and the closing date is now measurable rather than theoretical.

Typical profile. Pyramid shape transitional; representative region Latin America and mid-tier Southeast Asia.

Country	Median age	TFR	Share 65+	Working-age peak	GDP/capita	Robots per 10K	U.S. goods trade
Mexico	29.6	1.87	8.5%	2047	$11,500	62	#1 $405B
Chile	36.9	1.13	14.6%	2032	$16,800	n/p	outside top 15
Brazil	34.8	1.60	11.5%	2033	$10,300	n/p	outside top 15
Turkey	33.5	1.62	10.6%	2036	$13,110	n/p	outside top 15
Argentina	32.9	1.50	12.6%	2035	$13,690	n/p	outside top 15
Vietnam	33.4	1.88	9.5%	2037	$4,650	n/p	#5 $106B
Colombia	32.5	1.62	10.2%	2042	$7,150	n/p	outside top 15
Malaysia	31.0	1.53	8.0%	2047	$13,380	n/p	outside top 15

▶ 5 Young, Converging (India)

What defines it. Fertility at or just above replacement and still falling. These economies are still adding working-age population, but the base of the pyramid has stopped widening. India crossed below replacement around 2020 and is the largest country in the world.

Typical profile. Pyramid shape transitional to expansive; representative region South and Southeast Asia.

Country	Median age	TFR	Share 65+	Working-age peak	GDP/capita	Robots per 10K	U.S. goods trade
Indonesia	30.4	2.10	7.5%	2045	$5,110	n/p	outside top 15
India	28.8	1.94	7.4%	2048	$2,730	n/p	#11 $62B
Philippines	26.1	1.88	5.7%	2053	$4,070	n/p	outside top 15

▶ 6 High Fertility (Nigeria)

What defines it. Fertility well above replacement and a true expansive triangle. This is the only group still adding working-age population at scale after 2050, and on current projections it accounts for effectively all of the world’s net labor-force growth in the second half of the century.

Typical profile. Pyramid shape expansive; representative region Sub-Saharan Africa, Pakistan, Egypt.

Country	Median age	TFR	Share 65+	Working-age peak	GDP/capita	Robots per 10K	U.S. goods trade
Egypt	24.5	2.71	5.3%	2093	$4,020	n/p	outside top 15
Pakistan	20.6	3.50	4.4%	after 2100	$1,680	n/p	outside top 15
Kenya	20.0	3.12	3.0%	2090	$2,200	n/a	outside top 15
Ethiopia	19.1	3.81	3.3%	after 2100	$1,280	n/a	outside top 15
Nigeria	18.1	4.30	3.1%	2096	$1,620	n/a	outside top 15

▶ Outliers: four economies that do not fit the ladder

Thailand is the most instructive of the four: a median age of 40.6 and a fertility rate of 1.19, which is a developed-world age structure, on a GDP per capita of $7,170, which is not. Thailand grew old before it grew rich, and it is the cautionary case for every economy in category 4, whose dividend windows close between 2032 and 2047.

Russia combines an old age structure with low life expectancy and war losses rather than with prosperity. Saudi Arabia and the Gulf states have age structures shaped by imported working-age labor rather than by their own fertility, so the pyramid describes a labor policy more than a population. Iran ran one of the fastest fertility declines ever recorded, from roughly 6.5 births per woman in 1980 to 1.67 today, and its age structure has not caught up with it.

Country	Median age	TFR	Share 65+	Working-age peak	GDP/capita	U.S. goods trade
Russia	40.3	1.46	17.8%	2010	$13,010	outside top 15
Thailand	40.6	1.19	16.0%	2018	$7,170	#10 $65B
Iran	34.0	1.67	8.6%	2038	$4,510	outside top 15
Saudi Arabia	29.6	2.29	3.1%	after 2100	$32,590	outside top 15

Context & Discussion

Diverging demographic trajectories across four economies

Of the four economies represented in the population pyramids above, Mexico is the only one with a clearly expansive pyramid. Its broad base of young workers ensures continued labor supply growth through at least 2050. Germany and China both display constrictive shapes, with their largest population cohorts concentrated between ages 40 and 60, meaning their peak workforce is already aging out of prime productive years. The United States occupies a middle position: a roughly stationary pyramid shape maintained largely by immigration, with below-replacement native fertility partially offset by immigrant inflows that have historically skewed younger.

Mexico’s labor force advantage and nearshoring dynamics

Mexico’s demographic profile gives it a structural advantage in manufacturing competitiveness that extends decades into the future. With a median age of approximately 30, more than a decade younger than China’s 40, Mexico offers a deep and growing pool of working-age labor at a time when most major manufacturing economies face the opposite trajectory.

This labor advantage is reflected in wages. As of 2025, average hourly manufacturing wages in Mexico are approximately $4.90, compared to $6.50 in China: a gap of roughly 25%.[2] That gap has widened over the past decade as Chinese manufacturing wages have risen approximately 7% annually while Mexican wages have remained comparatively stable. The wage differential is reinforced by Mexico’s geographic proximity to the U.S. market (shipping times measured in days rather than weeks), USMCA trade agreement provisions that allow tariff-free access for qualifying goods, and a maturing industrial ecosystem concentrated in cities like Monterrey, Tijuana, and Querétaro.

These dynamics have made Mexico the largest U.S. trading partner as of 2023, a position driven in part by the nearshoring of manufacturing previously located in China. For commercial real estate, the nearshoring trend translates into rising demand for industrial and logistics facilities in U.S.–Mexico border regions (particularly in Texas and Arizona) as well as continued warehouse and distribution investment along the USMCA corridor.

China and Germany will increasingly require labor replacement automation

Both countries have their largest population cohorts concentrated in the 40–60 age range, both have fertility rates well below replacement (China ~1.0, Germany 1.35), and both face accelerating workforce contraction over the next two decades.

China’s demographic trajectory is influenced by the legacy of the one-child policy (1980–2015), which produced a dramatic narrowing of younger cohorts visible in the pyramid above. The working-age population peaked around 2015 and has been declining since. Rising wages, a direct consequence of tightening labor supply, have eroded China’s traditional cost advantage in manufacturing. Combined with U.S.–China trade tensions and tariff escalation, these pressures have accelerated the movement of labor-intensive manufacturing out of China and into Mexico, Vietnam, and India.

Germany’s demographic situation is driven by decades of sustained low fertility rather than a single policy, but the outcome is similar: a shrinking labor force that cannot sustain current economic output without either large-scale immigration or aggressive automation. Germany has pursued both strategies, accepting significant immigration inflows while also investing heavily in advanced manufacturing technology and industrial robotics.

Commercial real estate implications for countries with inverted population pyramids could include increased demand for advanced manufacturing facilities designed for robotic production, data centers to support AI-driven operations, a potential decline in demand for traditional labor-intensive factory space as production either leaves or is automated in place, increased demand for senior housing (short-term) and potentially a reduction in demand for all housing (as seen in Japan with large numbers of vacant houses throughout the country coinciding with a falling overall population).

Cross-border CRE investment implications

The demographic divergences outlined above create identifiable commercial real estate investment themes across borders. Nearshoring demand is concentrated in industrial and logistics facilities in U.S.–Mexico border regions and along major USMCA transportation corridors. Senior housing demand is a common theme across all four economies as populations age, though the timing and severity differ: Germany and China face the most immediate pressure, while the U.S. Boomer cohort drives demand over the next 10–15 years (see U.S. Demographics page for detailed analysis). Automation-driven facilities (data centers, advanced manufacturing, and robotics-enabled production) represent a growth category in aging economies where labor force decline makes traditional manufacturing increasingly unviable.

For U.S.-based CRE investors, the most actionable near-term implication is the durability of the nearshoring trend. Mexico’s demographic advantage is structural and extends to mid-century. As long as USMCA trade provisions remain in place and the U.S.–Mexico wage gap holds, industrial demand in border markets will continue to benefit from supply chain reorganization away from China. However, the nearshoring narrative should not be interpreted as a collapse in Chinese manufacturing output. Despite U.S. tariffs reaching as high as 145% in 2025, China posted a record $1.2 trillion trade surplus for the year (a 20% increase over 2024) by redirecting exports to Southeast Asia, Africa, Latin America, and Europe.[3] Exports of high-tech goods including industrial robots and machine tools rose 13%, while EV, battery, and solar exports surged 27%. China’s manufacturing base is not disappearing; it is shifting up the value chain and diversifying away from U.S. dependence; these dynamics are explored further in the CRE42 Trade Policy section. The U.S. trajectory itself depends heavily on immigration policy, a variable explored in detail in the U.S. Demographics page.

Automation: Aging populations and industrial robot adoption

Industrial robot adoption is accelerating in countries with aging populations. According to the International Federation of Robotics (IFR) World Robotics 2025 report, the five countries with the highest robot density in manufacturing (South Korea 1,220 robots per 10,000 workers; Singapore 818; Germany 449; Japan 446; Sweden 377) all have median ages above 39 and total fertility rates at or below 1.5. The global average is 132 robots per 10,000 workers, and the United States ranks 8th at 307. China’s reported density moved from 470 to 166 per 10,000 between the 2024 and 2025 reports; that is a restatement, not a decline. China’s statistics bureau published updated labor-market data that greatly enlarged the measured manufacturing workforce, so the denominator grew while the robot count kept rising: on the new basis China’s density still climbed 17% year over year, though it now ranks 22nd worldwide.[4] (demographics-global.xlsx)

The contrast with younger economies is equally telling. Mexico (62 robots per 10,000 workers, 2024 data), India (7), and Brazil (17; both 2023 data) have abundant labor forces and correspondingly low robot density.

Commercial real estate implications run in two directions: aging economies will see rising demand for advanced manufacturing facilities designed for robotic production and for the data centers that support AI-driven operations, while younger economies will see continued demand for traditional industrial and logistics space serving human workers. The competition between these two models (cheap labor versus cheap automation) will be one of the defining economic dynamics of the next quarter century, explored further in the CRE42 Technology & AI section and, for the machines actually displacing manufacturing labor in these economies, on the non-humanoid robotics page.

Comparative table: 33 economies

The working-age peak year is the single most consequential column here, because it is the date an economy stops adding workers. It reorders the argument this page makes. China’s working-age population peaked in 2015 and remains within roughly one percent of that peak, which means the decline has barely begun rather than being largely complete. Japan peaked in 1995 and has fallen to 83 percent of its maximum; Germany peaked in 1997, Italy in 1992, South Korea in 2017. Every major U.S. trading partner in the two aging categories is already past its labor-force maximum.

The contrast is sharpest with the United States, which under the medium variant has no working-age peak before 2100, as is also true of Canada and Australia. Mexico peaks in 2047 and India in 2048, which puts a measurable closing date on the demographic dividend that the nearshoring argument depends upon. Nigeria peaks in 2096, and Ethiopia and Pakistan not within the projection horizon at all.

Sorted by category, then by median age within category. The four economies charted at the top of the page are shown in bold. Population, median age, fertility, share aged 65 and over, old-age dependency ratio and working-age peak year: UN World Population Prospects 2024 Revision, medium variant, 1 July 2025, except fertility for Germany (Destatis) and the United States (CDC NCHS), where the national statistical office is the better authority for its own country. GDP per capita: IMF World Economic Outlook, October 2025. Robot density: IFR World Robotics 2025, data year 2024, on the restated employment denominator; n/p marks economies not published in that edition and n/a those IFR does not cover. U.S. goods trade: Census Bureau, two-way goods on a Census basis, year to date May 2026. (demographics-global.xlsx)