Validating and Extracting Information from National Identification Numbers in R: The Case of Finland and Sweden

National identification numbers (NIN) and similar identification code systems are widely used for uniquely identifying individuals and organizations in Finland, Sweden, and many other countries. To increase the general understanding of such techniques of identification, openly available methods and tools for NIN analysis and validation are needed. The hetu and sweidnumbr R packages provide functions for extracting embedded information, checking the validity, and generating random but valid numbers in the context of Finnish and Swedish NINs and other identification codes. In this article, we demonstrate these functions from both packages and provide theoretical context and motivation on the importance of the subject matter. Our work contributes to the growing toolkit of standardized methods for computational social science research, epidemiology, demographic studies, and other register-based inquiries.

Authors

Institutions

Publication Details

Journal
The R Journal
Published
2025-05-20
DOI
https://doi.org/10.32614/rj-2024-023
Primary Topic
Statistical Methods and Bayesian Inference
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Validating and Extracting Information from National Identification Numbers in R: The Case of Finland and Sweden

Erik Bülow, Jussi Paananen, Leo Lahti, Pyry Kantanen et al.
The R Journal
Statistical Methods and Bayesian Inference
article

Validating and Extracting Information from National Identification Numbers in R: The Case of Finland and Sweden

Erik Bülow, Jussi Paananen, Leo Lahti, Pyry Kantanen, Måns Magnusson, Aleksi Lahtinen
article en

Abstract

National identification numbers (NIN) and similar identification code systems are widely used for uniquely identifying individuals and organizations in Finland, Sweden, and many other countries. To increase the general understanding of such techniques of identification, openly available methods and tools for NIN analysis and validation are needed. The hetu and sweidnumbr R packages provide functions for extracting embedded information, checking the validity, and generating random but valid numbers in the context of Finnish and Swedish NINs and other identification codes. In this article, we demonstrate these functions from both packages and provide theoretical context and motivation on the importance of the subject matter. Our work contributes to the growing toolkit of standardized methods for computational social science research, epidemiology, demographic studies, and other register-based inquiries.

The R JournalVol. 16(3)
Uppsala University (SE), University of Turku (FI), University of Eastern Finland (FI), University of Gothenburg (SE)
Strategic Research Council
Openalex Percentile: Top 86%
Statistical Methods and Bayesian Inference
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Validating and Extracting Information from National Identification Numbers in R: The Case of Finland and Sweden — Erik Bülow, Jussi Paananen, et al. · The R Journal (2025) | TGRS Research Map | TGRS