Joint Programming Initiative

More Years, Better Lives

The Potential and Challenges of Demographic Change

Social insurance registry

Social Systems and Welfare
Relevance for this Topic
Country Sweden
More Topics


Contact information

Laura Hartman
The Swedish Social Insurance Agency (Försäkringskassan)
Klara Västra kyrkogata 11
103 51 Stockholm
Phone: +468-786 90 00
Fax: 08-411 27 89
Email: laura.hartman(at)

Timeliness, transparency

About six months.

Type of data


Type of Study

Cohort study

Total population registry from individuals aged 16 years and over.

Data gathering method


Access to data

By derogation from the statistical confidentiality, data from statistical registers can be made available for research purposes. Data may be released after application and secrecy examination. Since 1 January 2004, research involving humans is examined by the Ethical Review Board. Access only available for Swedish scholars.

Conditions of access

Access by researchers with defined research programmes or collaborative work – scholars must cover the administrative costs.

Around 6 months.

Anonymised microdata, tables or indicators.

Basic statistics on CD

Data are only available in Swedish.


All insured individuals in Sweden. That is, almost everyone who lives in Sweden and is aged 16 years and over in social security records.


Total coverage

Registry/ Official Statistics

The whole country

Population aged 16 and over

The social insurance registry is a collection of more than 25 registries with regard to general person information, sick-leave insurance registry (including parental leave, rehabilitation, activity support, etc.), allowances registry, occupational injury registry, disability support registry, sickness allowances and activity support registry, pension related registries and registries of survivors.


Mainly for use in Sweden.

The social insurance registry is often used by researchers in combination with other registries on work, sick-leave or exit from the labour market.

Data quality

No major entry errors.

No major changes.

High level of consistency.


Good overview of the large sector of social insurances which also can be connected to other data sets through use of personal identification numbers.

  • The information about this dataset was compiled by the author:
  • Kenneth Abrahamsson
  • (see Partners)