For researchers and doctoral students

Through REWHARD, researchers and doctoral students can access well-documented data, analyses and statistical syntax files, as well as advice on research data. Researchers are also welcome to participate in our seminars on the use of Swedish databases for research.

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Photo: Christina@wocintechchat.com, Unsplash

High-quality research data

The infrastructure is a resource for researchers across the country, and our data can be used to study how people's living conditions develop over time and factors influencing well-being and health. We coordinate research data on, among other things, socio-demographics, family situation, working conditions, health behaviours, illness and sickness absence for the Swedish population. High-quality data is available with a long-time perspective and for a total of more than 14 million people.

The infrastructure consists of four longitudinal databases managed within the nodes LNU, SLOSH, IMAS and STODS. Each node is responsible for its own database and regularly collect new data via surveys and by ordering register data. Through the nodes, we offer access to quality-controlled pseudonymised micro data, assistance with analyses and online data visualisation. As a researcher, you can also get advice and support on the use of data resources and relevant analytic methods. Below is a summary of the four nodes.

The Swedish Level of Living Survey (LNU)

LNU is a recurring survey in which a sample of Sweden's adult population is interviewed or fills out questionnaires about their concrete living conditions. It is one of the oldest ongoing panel surveys in the world.

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Research field

Living conditions and welfare

Type of study

Longitudinal survey study

Includes data on

Health, work, education, economy, housing, family, social relations, leisure and security

Data source

Own data collection: interviews and self-administered questionnaires

Number of participants

20,000 – a nationally representative sample of the adult population aged 18-75

Data is available for the years

1968 – 2022

Purpose

To study people's living conditions and how they change over time, for different groups of the population.

Examples of research questions

  • What are working conditions like in Sweden today, and how have they changed over time?
  • Has the distribution of household work become more equal between men and women?
  • Has loneliness become a more widespread problem?
  • Which groups in the population are particularly vulnerable to poor economic conditions?
  • What is the relationship between living conditions and political attitudes?

Access to data

Application, no fee

Contact

lnu@sofi.su.se

Links for LNU

Access to data (in Swedish)

Website (in Swedish)


The Swedish Longitudinal Occupational Survey of Health (SLOSH)

SLOSH is an internationally leading panel study that elucidates how various aspects of people's working lives, private lives and health interact over time. Research based on SLOSH contribute to increased knowledge that may serve as an important basis for efforts to improve public health.

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Research field

Relationships between working conditions, private life and health

Type of study

Longitudinal panel survey

Includes data on

Employment, working environment, retirement, health behaviours, social conditions, well-being and health

Data source

Own data collection: yearly repeat questionnaires complemented with register data

Number of participants

57,104 – an initially nationally representative sample of the working population

Data is available for the years

2006 – 2024 (register data 1958* – 2021)

Purpose

To highlight the relationship between labour market participation, working environment, retirement and health.

Examples of research questions

  • How work-time control affects health and work-life balance
  • Consequences of bullying and harassment in working life
  • How climate and city planning impacts public health
  • The association between stress, sleep and depression
  • How retirement and prolonged working life influences health and well-being

Access to data

Application, fee

Contact

data@slosh.se

Links for SLOSH

Access to data

Explore data online (in Swedish)
Website

* The starting year for available data varies between different registers and ranges from 1958 (Cancer register, National Board of Health and Welfare) to 2019 (BAS, Population by Labour market status, Statistics Sweden).

Insurance Medicine All Sweden (IMAS)

IMAS is an interdisciplinary research project based on longitudinal register data of more than 14 million people. The aim of the project is to generate knowledge about various aspects of sickness absence and disability pension.

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Research field

Sickness absence and disability pension

Type of study

Research on longitudinal register data

Includes data on

Sickness benefit, disability pension, socio-economics, labour market status, living conditions, healthcare visits, prescribed drugs, births, cancer, multiple sclerosis (MS) and causes of death.

Data sources

Pseudonymised microdata linked from over 20 nationwide registers administered by 4 different authorities

Number of individuals

14.4 million in eight population-based cohorts

Data is available for the years

1952*-2022

Purpose

To generate knowledge about various aspects of sickness absence and disability pension.

Examples of research questions

  • Risk factors for sickness absence and disability pension
  • Consequences of being on sick leave or receiving disability pension
  • Factors influencing return to work
  • How do sick leave practices develop over time in relation to current legislation and policy changes?

Access to data

Fee, on-site access, delivery of results at aggregated (group) level

Contact

imas-cns@ki.se

Links for IMAS

Access to data

Website

* The starting year for available data varies between different registers and ranges from 1952 (Cause of Death Register, National Board of Health and Welfare) to 2020 (BAS, Population by Labour market status, Statistics Sweden).

Swedish Twin project of Disability pension and Sickness absence (STODS)

The STODS project follows a large twin cohort over a long period of time with regard to sickness absence and disability pension. The project provides unique opportunities to investigate the importance of hereditary factors for differences in sickness absence.

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Research field

Sickness absence and disability pension

Type of study

Longitudinal twin study

Includes data on

Twin pairs, zygosity, diagnoses, sickness absence, disability pension, demographics, employment, unemployment, health-related behaviours, physical and mental health, causes of death

Data sources

Data from the Swedish Twin Registry (STR) and microdata from Statistics Sweden, the Social Insurance Agency and the National Board of Health and Welfare's nationwide registers

Number of individuals

Approximately 120,000 twins born between 1925 and 2006

Data is available for the years

1990–2023

Purpose

Increased knowledge about risk factors for, and possible consequences of, being on sick leave or receiving disability pension, both in general and for specific diagnoses

Examples of research questions

  • The significance of hereditary and environmental factors for differences in sickness absence
  • The link between mental health and future sickness absence
  • Co-morbidity and sickness absence
  • Health and/or work-related factors associated with sickness absence (risk or protective factors)
  • Development of sickness absence over time among private and public sector employees

Access to data

Application

Contact

stods-cns@ki.se

Links for STODS

Access to data

Website

 

Information on publishing

When publishing original scientific articles with data from REWHARD, authors should include the following under "Acknowledgements" (or equivalent heading):

In English: "This work utilised data from the REWHARD consortium supported by the Swedish Research Council (VR #2021-00154)."

In Swedish: "I detta arbete användes data från REWHARD-konsortiet, som stöds av Vetenskapsrådet (dnr 2021-00154)."

Please note that there could be other requirements in addition to the above, for instance specified in your user agreement.

Seminars and conferences

We organise seminars and conferences on the use of Swedish databases for research, for example on methodological issues relating to register and survey data, longitudinal studies and managing non-response.

Open Forum

A few times per semester, we invite researchers and PhD students to our Open Forum on Zoom. Then our researchers are available for your questions. Meet us and find out about the data we have and how you can use it in your research.

Read more and register for Open Forum

This page also contains a list of questions and answers from previous forums.

The user conference RewhardNet

Since 2024, we organise annual conferences for existing and new users of the infrastructure. The next user conference is planned to be held in Stockholm on 7–8 September 2026.

Seminars

Since 2022, we have held seminars for researchers at universities across Sweden about the use of our data in research.

REWHARD organised a workshop on non-response in surveys with several international speakers in September 2022. A follow-up seminar was held in collaboration with the NEAR infrastructure in November 2025.

Advice

REWHARD offers personalised advice on planning studies and on ordering and handling data from Swedish authorities and included cohort studies.

IMAS and STODS offer advice and assistance with:

  • what data are needed for a specific research question
  • study design
  • ethics application
  • quality control of delivered data
  • data cleaning & data management 
  • management of sickness absence data 
  • syntaxes
  • methodological questions.

If you are interested in getting advice, please contact imas-cns@ki.se (IMAS) or stods-cns@ki.se (STODS).

LNU and SLOSH also offer advice and support regarding the use of their data resources and on relevant study methodology.

Syntax library

Below you can find statistical syntaxes for handling data for research purposes. This section is under construction.

Last updated: 2026-03-06

Source: REWHARD