Synthetic dataset of the Luxembourgish population

The dataset was created from scratch using the open-source code on GitLab [link] released by LNDS and the real statistics from the STATEC, the statistics portal of Luxembourg . It is meant to be an example of the dataset structure anyone can generate and personalize in terms of some parameters, including the sample size. The data are organized by individual profiles on the rows and their personal features on the columns. The age-structure distribution, the number of populations over municipalities, the number of different nationalities present in Luxembourg, the salary statistics per municipality are some of real information we have ingested into our synthetic generation model to generate the dataset. Some other features (Date_of_birth, Social_matricule, First_name and Surname of foreign nationalities) have been obtained by a logical relationship between the variables without exploiting any additional real information. We are in compliance with the law in reducing and putting close to zero, the risk of identifying a real person completely by chance.

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Additional Info

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Title Synthetic dataset of the Luxembourgish population
Description

The dataset was created from scratch using the open-source code on GitLab [link] released by LNDS and the real statistics from the STATEC, the statistics portal of Luxembourg . It is meant to be an example of the dataset structure anyone can generate and personalize in terms of some parameters, including the sample size. The data are organized by individual profiles on the rows and their personal features on the columns. The age-structure distribution, the number of populations over municipalities, the number of different nationalities present in Luxembourg, the salary statistics per municipality are some of real information we have ingested into our synthetic generation model to generate the dataset. Some other features (Date_of_birth, Social_matricule, First_name and Surname of foreign nationalities) have been obtained by a logical relationship between the variables without exploiting any additional real information. We are in compliance with the law in reducing and putting close to zero, the risk of identifying a real person completely by chance.

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Contact points
Contact point 1
URI
Name
Luxembourg National Data Service (LNDS)
Name (translations)
Email
info@lnds.lu
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Publisher
Publisher 1
URI
Name
Luxembourg National Data Service (LNDS)
Name (translations)
Email
URL
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Organization
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Creator
Landing page
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In Series
    Version
    Version notes
    Identifier
    Frequency
    Provenance
    Type Synthetic Data
    Temporal coverage
    Temporal resolution
    Spatial coverage
    Spatial resolution in meters
    Access rights Public
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      Theme
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          Documentation
            Conforms to
              Is referenced by
                Analytics
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                            Health category
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                                  Minimum typical age
                                  Maximum typical age
                                  Number of records
                                  Number of records for unique individuals.
                                  Personal data
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                                      Population coverage
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                                      Health data access body
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