Key Takeaways
- China's fertility rate hit a record low of 1.09 in 2022
- The natural growth rate of the population was -0.6 per 1,000 in 2022
- Percentage of second births among total births fell to 38.9% in 2022
- China's overall sex ratio at birth was 111.3 males per 100 females in 2020
- The total male population reached 723.34 million in 2022
- The total female population reached 689.69 million in 2022
- Guangdong province has a sex ratio at birth of 118:100
- Hainan province traditionally has the highest sex ratio at birth, exceeding 120:100
- Tibet (Xizang) has a near-natural sex ratio of 102:100
- Number of marriage registrations fell to 6.83 million in 2022
- The cost of "Bride Prices" (Caili) has risen to 300,000 RMB in parts of Jiangxi
- 30 million "bare branches" (Guanggun) - men who cannot find wives - are estimated
- Female labor force participation rate was 61.1% in 2022
- Male labor force participation rate was 77.1% in 2022
- Women earn 12% less than men in similar urban roles
China’s shrinking fertility and son preference have intensified a widening gender imbalance, especially among second births.
Related reading
Birth & Fertility
Birth & Fertility Interpretation
Demographic Ratios
Demographic Ratios Interpretation
Regional/Provincial Variance
Regional/Provincial Variance Interpretation
Workforce & Economy
Workforce & Economy Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
David Kowalski. (2026, February 13). China Gender Imbalance Statistics. Gitnux. https://gitnux.org/china-gender-imbalance-statistics
David Kowalski. "China Gender Imbalance Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/china-gender-imbalance-statistics.
David Kowalski. 2026. "China Gender Imbalance Statistics." Gitnux. https://gitnux.org/china-gender-imbalance-statistics.
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