Nowcasting population change in China with big data: an agenda for bridging the intercensal gap

Q: What does this research mean for the field?

Big data approaches provide a viable agenda for nowcasting population changes in China to bridge the intercensal gap amidst rapid demographic transformations. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Cheng Yuan; Xuehui Han

doi:10.1080/17441730.2026.2724851

September 1, 2026Asian Population Studies

Nowcasting population change in China with big data: an agenda for bridging the intercensal gap

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Key Points

To establish a research and methodological agenda for using big data to nowcast demographic dynamics during rapid population aging, sustained low fertility, and national population decline.
Evaluates high-frequency big data sources alongside traditional statistical systems to monitor intercensal demographic transitions.
Formulates analytical frameworks tailored to address data latency in official census reporting.
Identifies key pathways for integrating digital trace data to overcome critical information gaps between decennial census counts.
Provides actionable strategies for tracking real-time shifts in fertility, mortality, and population structure.

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Implication

Demographic analysis demonstrates big data approaches for tracking rapid population shifts in China, highlighting novel frameworks to bridge critical intercensal data gaps.

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Cite This Study

Yuan et al. (2026) studied this question.

synapsesocial.com/papers/6a99355b636c6408cfa7d885 https://doi.org/10.1080/17441730.2026.2724851

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Nowcasting population change in China with big data: an agenda for bridging the intercensal gap

Key Points

No abstract yet

Implication

Discussion

Cite This Study

Nowcasting population change in China with big data: an agenda for bridging the intercensal gap

Key Points

No abstract yet

Implication

Discussion

Cite This Study

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