China

Key data resources and data collections made available via University of Oxford subscription or Open Data initiatives.

China Statistical Yearbooks Full-text Database (CNKI)

The database provides access to the official statistical yearbooks on a national and provincial level as well as to the statistical yearbooks of a wide range of major Chinese cities.
Please note that to access the latest data the Chinese version of the database should be used.
The English version of the database is updated with a certain delay necessary for translation.

Data and analysis from the Economist Intelligence Unit which provides an overview of China and covers politics, economy, risk, industry and other issues. This analysis is also used as the basis for five year forecasts of future developments. Reports and statistics are updated monthly.

The website includes electronic versions of the annual National Statistical Yearbooks as well as important monthly and quarterly indicators. (Please note that some parts of the website only work with Internet Explorer.)

The Sixth National Population Census of China Database (NPCC) provides access to data from the 2010 population census. This includes nationwide population data, as well as data from 31 provinces, centrally administered municipalities and 2872 county level units.

The website provides major indicators of national statistics in Excel and Open Document Format.

Statistical and data profile on the Peoples Republic of China covering topics such as agriculture, development, education, government and health.

Data from the World Bank may be filtered to focus on China and covers topics such as agriculture, climate change, economy and growth, education, gender, health and poverty. The primary World Bank collection of development indicators, compiled from officially-recognized international sources may also be accessed and analysed.

Further resources on this theme may be found by using SOLODatabases A-Z, and the relevant library LibGuides.

Recommendations for additions to this list are always welcome. Please use the Recommend a resource form or email the Bodleian Data Library with suggestions.

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