China's first complete socioeconomic official statistics dataset (county-level, 2002-2011)

A complete 10-year county-level dataset covering 20 official socioeconomic variables across China, reconstructed with progressive spatiotemporal Bayesian hierarchical modeling.

Research data, software, documentation, and teaching resources

Dataset overview

This resource preserves the complete dataset description, methodology, figures, validation results, publication link, and contact note from the original website.

Read the related Scientific Reports article.

Fig 1

China’s first complete socioeconomic official statistics dataset (county-level, 2002-2011)

We developed a sophisticated progressive spatiotemporal (PST) method and used it to estimate the missing values in China’s county-level official socioeconomic statistics. Our estimation covers the entire country for a 10-year period and includes 20 socioeconomic variables, which are listed as blow.

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*MORE DETAILS: Chao Song, Xiu Yang, Xun Shi, Yanchen Bo, Jinfeng Wang: Estimating missing values in China’s official socioeconomic statistics using progressive spatiotemporal Bayesian hierarchical modeling. Scientific Reports 06/2018; 8(1)., DOI:10.1038/s41598-018-28322-z*

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Fig 2

Experiment flow.

Fig 6

Comparison of PST method with other mainstream estimation methods.

Validation of PST method with scatter plots.

FIG 5

Validation at the local space scale.