Municipality-level geographical colleague connectivity in the Netherlands (2019-2022)

This record contains datasets (.csv files) on counts of colleague pairs per municipality triplet (two home municipalities for two colleagues, and one shared workplace municipality) in the Netherlands for the years 2019 to 2022, and corresponding R scripts (.R files) for reproduction within the CBS Microdata environment. Three types of micro-level administrative data files are required to be loaded within CBS, which are: (1) job relationships (i.e., SPOLISBUS), (2) individuals’ home municipalities (i.e., GBAADRESOBJECT, VSLGTAB and GIN), and (3) information on local branches (i.e., GEMEENTESTPLTAB and ABR_REGIO). For each year of concern, all employees with valid home registrations in the Netherlands are paired with their colleagues who are identified as working for the same company. Individuals working for companies with more than one local branch are assigned to the most probable branch and paired with people working in the same branch. A cap is imposed to limit the maximum number of colleague links an individual is allowed to have. NA values in the CSV files indicate censored values, this is related to CBS rules requiring a minimum of 10 observations to avoid potential risks of group disclosure. The total counts suppressed to NA each year (and by different choices of the cap) is reported as a supplement (in PDF file). In the supplement, there is an overview of the labour size each year, based on which the municipality-level colleague connectivity is constructed. The geographical connectivity presented here is further used to inform regional public health interventions during pandemics.

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Titel Municipality-level geographical colleague connectivity in the Netherlands (2019-2022)
Omschrijving

This record contains datasets (.csv files) on counts of colleague pairs per municipality triplet (two home municipalities for two colleagues, and one shared workplace municipality) in the Netherlands for the years 2019 to 2022, and corresponding R scripts (.R files) for reproduction within the CBS Microdata environment. Three types of micro-level administrative data files are required to be loaded within CBS, which are: (1) job relationships (i.e., SPOLISBUS), (2) individuals’ home municipalities (i.e., GBAADRESOBJECT, VSLGTAB and GIN), and (3) information on local branches (i.e., GEMEENTESTPLTAB and ABR_REGIO). For each year of concern, all employees with valid home registrations in the Netherlands are paired with their colleagues who are identified as working for the same company. Individuals working for companies with more than one local branch are assigned to the most probable branch and paired with people working in the same branch. A cap is imposed to limit the maximum number of colleague links an individual is allowed to have. NA values in the CSV files indicate censored values, this is related to CBS rules requiring a minimum of 10 observations to avoid potential risks of group disclosure. The total counts suppressed to NA each year (and by different choices of the cap) is reported as a supplement (in PDF file). In the supplement, there is an overview of the labour size each year, based on which the municipality-level colleague connectivity is constructed. The geographical connectivity presented here is further used to inform regional public health interventions during pandemics.

Keywords
Contact points
Contact point 1
URI
Naam
Contact dataset owners via DataverseNL.
Name (translations)
Email
rso@erasmusmc.nl
Identifier
URL
  1. https://doi.org/10.34894/XF7IAD
Publisher
Publisher 1
URI
Naam
Erasmus MC
Name (translations)
Email
rso@erasmusmc.nl
URL
https://www.erasmusmc.nl/en/contact-details-and-directions
Type
Publisher note
Publisher type
Identifier
NL-EMC
Creator
Creator 1
URI
Naam
de Vlas, Sake J.
Name (translations)
Email
rso@erasmusmc.nl
URL
https://fdp.erasmusmc.nl/dataset/unknown
Type
Publisher note
Publisher type
Identifier
unknown
Creator 2
URI
Naam
Emery, Tom
Name (translations)
Email
rso@erasmusmc.nl
URL
https://fdp.erasmusmc.nl/dataset/unknown
Type
Publisher note
Publisher type
Identifier
unknown
Creator 3
URI
Naam
Coffeng, Luc E.
Name (translations)
Email
rso@erasmusmc.nl
URL
https://fdp.erasmusmc.nl/dataset/unknown
Type
Publisher note
Publisher type
Identifier
unknown
Creator 4
URI
Naam
Song, PingPing
Name (translations)
Email
rso@erasmusmc.nl
URL
https://fdp.erasmusmc.nl/dataset/unknown
Type
Publisher note
Publisher type
Identifier
unknown
Landing page https://doi.org/10.34894/XF7IAD
Release date 2026-01-15T23:00:00+00:00
Modification date
In Series
    Versie
    Version notes
    Identifier doi:10.34894/XF7IAD
    Frequency
    Provenance
    Type
    Temporal coverage
    Temporal resolution
    Spatial coverage
    Spatial resolution in meters
    Access rights http://publications.europa.eu/resource/authority/access-right/RESTRICTED
    Other identifier
    Theme
    1. https://publications.europa.eu/resource/authority/data-theme/HEAL
    Taal
    1. http://id.loc.gov/vocabulary/iso639-1/en
    Documentation
    Conforms to
    Is referenced by
    Distribution
    Sample
    Analytics
    Applicable legislation
    1. http://data.europa.eu/eli/reg/2016/679/oj
    Has version
    1. 2.0
    Code values
    Coding system
    Purpose
    Health category
    Health theme
    Legal basis
    Minimum typical age
    Maximum typical age
    Number of records
    Number of records for unique individuals.
    Personal data
    Publisher note
    Publisher type
    Trusted Data Holder
    Population coverage
    Retention period
    Health data access body
    Qualified relation
    Provenance activity
    Qualified attribution
    Quality annotations
    URI https://fdp.erasmusmc.nl/dataset/335a1299-abb4-4f5c-b3fe-c6e07746518d