The University of Southampton
University of Southampton Institutional Repository

Global Public and School Holidays 2010-2019

Global Public and School Holidays 2010-2019
Global Public and School Holidays 2010-2019
We systematically collated the data of public holidays in 2010-2019 by country across the world. The public holidays in this dataset include half- and full-day official public/bank/federal/national holidays, special holidays, and replaced working days at weekend announced in each country or territory. 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
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 Public and School Holidays 2010-2019. University of Southampton doi:10.5258/SOTON/WP00689 [Dataset]

Record type: Dataset

Abstract

We systematically collated the data of public holidays in 2010-2019 by country across the world. The public holidays in this dataset include half- and full-day official public/bank/federal/national holidays, special holidays, and replaced working days at weekend announced in each country or territory. 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

This record has no associated files available for download.

More information

Published date: 30 October 2020
Keywords: Population distribution, Mobility, National, Seasonality, Disease transmission

Identifiers

Local EPrints ID: 445191
URI: http://eprints.soton.ac.uk/id/eprint/445191
PURE UUID: cec01e9b-b3eb-4451-b104-d81bc89241c6
ORCID for Shengjie Lai: ORCID iD orcid.org/0000-0001-9781-8148
ORCID for Alessandro Sorichetta: ORCID iD orcid.org/0000-0002-3576-5826
ORCID for Maksym Bondarenko: ORCID iD orcid.org/0000-0003-4958-6551

Catalogue record

Date deposited: 25 Nov 2020 17:30
Last modified: 06 May 2023 01:43

Export record

Altmetrics

Contributors

Creator: Shengjie Lai ORCID iD
Creator: WorldPop
Data Manager: Maksym Bondarenko ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×