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Weekly Time Series of Global Public and School Holidays 2010-2019

Weekly Time Series of Global Public and School Holidays 2010-2019
Weekly Time Series of Global Public and School Holidays 2010-2019
We produced weekly time series of public and school holidays for countries or territories across the world from 2010 to 2019, based on the datasets of public holidays in 2010-2019 and school holidays in 2009-2019 that we collated. We 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, but local holidays and observance were excluded. We also include school holidays of long breaks between academic years or school terms for primary/secondary schools in each country. The week numbers for each year were calculated by using the ISO week date standard (ISO-8601). 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) Weekly Time Series of Global Public and School Holidays 2010-2019. University of Southampton doi:10.5258/SOTON/WP00692 [Dataset]

Record type: Dataset

Abstract

We produced weekly time series of public and school holidays for countries or territories across the world from 2010 to 2019, based on the datasets of public holidays in 2010-2019 and school holidays in 2009-2019 that we collated. We 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, but local holidays and observance were excluded. We also include school holidays of long breaks between academic years or school terms for primary/secondary schools in each country. The week numbers for each year were calculated by using the ISO week date standard (ISO-8601). 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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More information

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

Identifiers

Local EPrints ID: 445193
URI: http://eprints.soton.ac.uk/id/eprint/445193
PURE UUID: a86f0e1b-64fa-4480-a5fc-b68eebc526ff
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

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Contributors

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

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