Global School Holidays Data 2010-2019
Global School Holidays Data 2010-2019
We systematically collated school holidays with long breaks (> 16 days) between academic years or school terms for primary/secondary schools in each country. Due to the data availability and similar timings of school terms across years, we used data collated in 2019 to generate the school holidays in 2009-2018. The dataset is available to download in csv format. The methodology can be found in: Lai, S., Sorichetta, A., Steele, J. et al. Global holiday datasets for understanding seasonal human mobility and population dynamics. Sci Data 9, 17 (2022). https://doi.org/10.1038/s41597-022-01120-z
Population distribution, Mobility, National, Seasonality, Disease transmission, GIS
University of Southampton
Lai, Shengjie
2a8da447-65c2-46dd-8a25-4d8140340cd5
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
Lai, Shengjie
2a8da447-65c2-46dd-8a25-4d8140340cd5
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
Lai, Shengjie, Sorichetta, Alessandro and WorldPop,
(2020)
Global School Holidays Data 2010-2019.
University of Southampton
doi:10.5258/SOTON/WP00690
[Dataset]
Abstract
We systematically collated school holidays with long breaks (> 16 days) between academic years or school terms for primary/secondary schools in each country. Due to the data availability and similar timings of school terms across years, we used data collated in 2019 to generate the school holidays in 2009-2018. The dataset is available to download in csv format. The methodology can be found in: Lai, S., Sorichetta, A., Steele, J. et al. Global holiday datasets for understanding seasonal human mobility and population dynamics. Sci Data 9, 17 (2022). https://doi.org/10.1038/s41597-022-01120-z
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Published date: 30 October 2020
Keywords:
Population distribution, Mobility, National, Seasonality, Disease transmission, GIS
Identifiers
Local EPrints ID: 445196
URI: http://eprints.soton.ac.uk/id/eprint/445196
PURE UUID: f70aa09a-eeeb-431a-a1a0-1966e325beaa
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Date deposited: 25 Nov 2020 17:30
Last modified: 06 May 2023 01:43
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Contributors
Creator:
Shengjie Lai
Creator:
WorldPop
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