China Multi-Generational Panel Dataset, Liaoning (CMGPD-LN), 1749-1909
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The work China Multi-Generational Panel Dataset, Liaoning (CMGPD-LN), 1749-1909 represents a distinct intellectual or artistic creation found in Bowdoin College Library. This resource is a combination of several types including: Work, Language Material, Books.
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China Multi-Generational Panel Dataset, Liaoning (CMGPD-LN), 1749-1909
Resource Information
The work China Multi-Generational Panel Dataset, Liaoning (CMGPD-LN), 1749-1909 represents a distinct intellectual or artistic creation found in Bowdoin College Library. This resource is a combination of several types including: Work, Language Material, Books.
- Label
- China Multi-Generational Panel Dataset, Liaoning (CMGPD-LN), 1749-1909
- Subject
-
- census
- demographic characteristics
- disabilities
- disasters
- eighteenth century
- exports
- family history
- family structure
- generations
- historical data
- Cities and towns
- immigrants
- imports
- municipalities
- nineteenth century
- occupational status
- rural population
- households
- Families
- admin
- agricultural production
- agriculture
- Summary
- The China Multi-Generational Panel Dataset - Liaoning (CMGPD-LN) is drawn from the population registers compiled by the Imperial Household Agency (neiwufu) in Shengjing, currently the northeast Chinese province of Liaoning, between 1749 and 1909. It provides 1.5 million triennial observations of more than 260,000 residents from 698 communities. The population mainly consists of immigrants from North China who settled in rural Liaoning during the early eighteenth century, and their descendants. The data provide socioeconomic, demographic, and other characteristics for individuals, households, and communities, and record demographic outcomes such as marriage, fertility, and mortality. The data also record specific disabilities for a subset of adult males. Additionally, the collection includes monthly and annual grain price data, custom records for the city of Yingkou, as well as information regarding natural disasters, such as floods, droughts, and earthquakes. This dataset is unique among publicly available population databases because of its time span, volume, detail, and completeness of recording, and because it provides longitudinal data not just on individuals, but on their households, descent groups, and communities
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