Population age structure resilience dataset for countries along the Belt and Road (2000-2019)

Population age structure resilience dataset for countries along the Belt and Road (2000-2019)


The resilience of the population age structure of countries along the Belt and Road reflects the level of resilience of the population age structure of the countries along the Belt and Road, and the higher the value of the data, the stronger the resilience of the population age structure of the countries along the Belt and Road. The World Bank's statistical database was used to prepare the data on the resilience of population age structure, and the data on the proportion of children, the proportion of working-age population and the proportion of elderly population in the countries along the Belt and Road from 2000 to 2019 were used year by year. Based on the sensitivity and adaptability analysis, a comprehensive diagnosis was carried out to produce a resilience product for the age structure of the population. Please refer to the documentation for the methodology of preparing the data set. "The data set is an important reference for analysing and comparing the resilience of population age structures in countries along the Belt and Road.


File naming and required software

File naming: The population age structure resilience dataset is stored as an ARCGIS vector data shape file with the compressed name "population_age.zip".
Data reading method: The data is uncompressed into ARCGIS vector data shape file format, please use ARCGIS software to open it, the value corresponding to the PA field in the data attribute table is the population age structure resilience of the country.


Data Citations Data citation guideline What's data citation?
Cite as:

Xu, X. (2022). Population age structure resilience dataset for countries along the Belt and Road (2000-2019). A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.272264. CSTR: 18406.11.HumanNat.tpdc.272264. (Download the reference: RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.


License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


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Keywords
Geographic coverage
East: 180.00 West: 12.09
South: -11.00 North: 81.87
Details
  • Temporal resolution: Yearly
  • Spatial resolution: --
  • File size: 16 MB
  • Views: 1622
  • Downloads: 315
  • Access: Open Access
  • Temporal coverage: For the past 20 years
  • Updated time: 2022-05-05
Contacts
: XU Xinliang  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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