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China

CHN

Population
1.42B
2023 · un-wpp (un-wpp/2024)
Growth rate
-0.24%
2023 · un-wpp (un-wpp/2024)
Fertility rate
1.00
2023 · un-wpp (un-wpp/2024)
Life expectancy
78.0 yrs
2023 · un-wpp (un-wpp/2024)

Total population

China195019802010204020702100600M800M1B1.2B1.4B

un-wpp · un-wpp/2024 · release 2026.08.3

CSV

Population growth rate

China195019802010204020702100-1.0%0.0%1.0%2.0%3.0%

un-wpp · un-wpp/2024 · release 2026.08.3

CSV

Population pyramid

MaleFemale0-45-910-1415-1920-2425-2930-3435-3940-4445-4950-5455-5960-6465-6970-7475-7980-8485-8990-9495-99100+
2023

un-wpp · un-wpp/2024 · release 2026.08.3

CSV

Total fertility rate

Chinareplacement1950198020102040207021002.004.006.00

un-wpp · un-wpp/2024 · release 2026.08.3

CSV

Life expectancy at birth

China19501980201020402070210040.0 yrs50.0 yrs60.0 yrs70.0 yrs80.0 yrs90.0 yrs

un-wpp · un-wpp/2024 · release 2026.08.3

CSV

Net migration

China195019802010204020702100-1M-500k0500k1M

un-wpp · un-wpp/2024 · release 2026.08.3

CSV

Median age

China19501980201020402070210020.0 yrs30.0 yrs40.0 yrs50.0 yrs60.0 yrs

un-wpp · un-wpp/2024 · release 2026.08.3

CSV

Population projection

China195019802010204020702100400M600M800M1B1.2B1.4B

un-wpp · un-wpp/2024 · release 2026.08.3

CSV

Research

AI-generated summary

This study examines how rising sex ratios in China affect labor supply among the urban elderly, finding that higher sex ratios increase employment among elderly fathers of sons compared to fathers of daughters. The increase in labor supply is driven by higher marriage costs and reduced old-age support, and high sex ratios are also associated with reduced consumption and well-being among fathers of sons.

Abstract
Highlights High sex ratios increase employment among elderly fathers of sons relative to fathers of daughters. Higher marriage costs and reduced old-age support drive the increase in elderly labor supply. High sex ratios reduce consumption and well-being among fathers of sons.
Papercrossref-catchall · 7/29/2026
AI-generated summary

Using Chinese provincial panel data (2011–2020), this study finds that income inequality significantly reduces fertility rates and lowers educational expenditures, though the interaction between inequality and education spending can positively affect fertility, especially when income gaps are relatively small. Using after-school tutoring expenditure as an instrumental variable to address endogeneity, the authors also find that the 2016 two-child policy had limited impact, and recommend that the government reduce families' educational financial burden to help raise fertility.

Abstract
This study examines the influence of income inequality on the declining fertility rate in China from the perspective of educational expenditure. We employ provincial panel data from the China Statistical Yearbook spanning 2011 to 2020 for empirical analysis. The findings indicate: (1) Income inequality exerts a significant negative effect on the fertility rate. (2) The income distribu- tion gap significantly diminishes education expenditures; however, after introducing the interaction term, the impact on the fertility rate becomes significantly positive, suggesting that increased in- come inequality enhances the positive influence of education expenditure on the fertility rate. (3) Considering the threshold effect of income disparity, when the income gap is relatively small, it positively influences the fertility rate, as evidenced by the positive interaction term. (4) This study selects after-school tutoring expenditure as an instrumental variable because it is correlated with income and its educational resources are exogenous, satisfying the conditions for two-stage least squares regression. Tutoring affects the income gap but does not directly influence the fertility rate, ensuring the validity of our results. Finally, we evaluate the effectiveness of the two-child policy implemented in 2016 and conclude that its impact has been limited. Therefore, we recommend that the Chinese government focus on reducing the financial burden of education on families to poten- tially improve the fertility rate.
AI-generated summary

Using China's One-Child Policy in a regression discontinuity design, the study finds that only children are more risk-averse, less trusting, and less socially engaged than those with siblings, which reduces their participation in FinTech services but not traditional finance. These effects are large, persist beyond economic and digital-access differences, are stronger among less educated individuals and in regions with weaker investor protection, and only children pull back more from digital platforms after scandals, underscoring trust as a key mechanism. The findings suggest that global fertility decline could psychologically constrain the digital transformation of finance.

Abstract
Fertility rates are declining worldwide, producing a growing share of only children. Exploiting China's One-Child Policy in a regression discontinuity design, we show that only children are significantly more risk-averse, less trusting, and less socially engaged than individuals with siblings. These trait differences reduce participation in FinTech (online lending, digital wealth management, and mobile payments) but not traditional finance. The effects are economically large, persist after accounting for differences in economic resources and digital access, and concentrate among less educated individuals and in regions with weaker investor protection. Only children also retreat more sharply from digital platforms following scandals, confirming trust as an operative mechanism. As the financial system becomes increasingly digital, demographic decline may impose a psychological constraint on financial modernization.
Papercrossref-demographic-research · 6/15/2026
AI-generated summary

This study uses China's 2015 Universal Broadband and Telecommunication Services pilot program as a quasi-experiment, combined with 2013–2021 China Household Finance Survey data and difference-in-differences estimation, to examine broadband's effect on rural-urban migration. It finds that improved internet access raised rural-urban migration by 3.2–3.4 percentage points (a 17.5–18.6% increase over the 18.3% baseline rate), with stronger effects in villages with fewer initial migrants, closer to county centers, and better roads, and among women, younger, more educated, and higher-income individuals. The authors conclude that broadband acts as "digital routes" enabling out-migration—via greater access to economic information—rather than "digital roots" that keep people in rural areas.

Abstract
Abstract This study investigates how broadband internet affects rural–urban migration in China using the Universal Broadband and Telecommunication Services pilot program launched in 2015 as a quasi‐experimental setting. Analyzing China Household Finance Survey data (2013–2021) with difference‐in‐differences estimation, we find that improved internet access significantly increased rural–urban migration by 3.2–3.4 percentage points, representing a 17.5–18.6 percent rise over the baseline migration rates of 18.3 percent. Effects were strongest in villages with fewer initial migrants, closer to county centers, and with better road infrastructure. At the individual level, impacts were largest among women, younger individuals, the more educated, and those from higher income households. The mechanism appears to be increased access to economic information. Our findings suggest broadband creates “digital routes” that facilitate out‐migration rather than “digital roots” that anchor residents to rural areas.