SCB Residence DeSO Dataset (2012-2018)

This dataset contains information about patients' residential geographic areas according to the DeSO (Demographic Statistical Areas) classification system. The data spans from 2012 to 2018 and links patients to their residential areas for each year.

Usage

scb_deso()

Format

A data frame with variables:

patient_id: Integer. Patient identifier, serves as a foreign key to link with other patient-level data. Original field name: Alias in the key file, mapped from lopnr
latest_personal_id: Logical. Flag indicating if this is the latest personal ID number for the individual. Original field name: SenPNr
reused_personal_id: Logical. Flag indicating if this personal ID number has been reused. Original field name: AterPNr
coordination_number: Logical. Flag indicating if this is a coordination number rather than a standard personal ID number. Used for individuals who don't have a permanent personal ID number. Original field name: SamOrdnNr
incorrect_personal_id: Logical. Flag indicating if there are known errors with the ID. Original field name: FelPersonnr
deso_code: Character. DeSO (Demographic Statistical Areas) code identifying the geographic area where the patient resides. Original field name: DeSO
year: Integer. The year that the residential information pertains to, extracted from the original filename.

Source

SCB (Statistics Sweden)

Details

This file combines data from multiple yearly SCB files about patients' residential areas according to the DeSO classification system. DeSO (Demografiska statistikområden) is a geographic subdivision introduced by Statistics Sweden in 2018 to enable statistical analysis at a detailed geographic level.

The original files contained residential data for each year from 2012 to 2018. This processed dataset combines all years, adding a year column to distinguish between different time points.

The patient identifiers in the SCB files (lopnr) are mapped to the standard patient_id used in the SEM cohort study using a key file (SCB_Ekelund_LEV_Nyckel.csv), ensuring consistent patient identification across all datasets.

Note