Journal of Official Statistics

Aims & Scope

The Journal of Official Statistics (JOS) is a quarterly peer-reviewed scientific journal published by Statistics Sweden.

JOS publishes research articles on survey methodology and other aspects of production of official statistics.

The intended readers are researchers and practitioners in academia, government, business or research organisations with an interest in survey methodology and production of official statistics.

Articles on the following topics are included: methodologies and policies for the collection, processing, and analysis of data and the presentation and dissemination of statistics, based on traditional surveys, censuses, registers, or new and emerging types of data sources.

Articles may present theoretical and methodological contributions, relevant applications of existing methods, comparisons of different methods, or authoritative reviews.

Such topics include: survey design; questionnaire design and evaluation; measurement error; estimation and inference; data collection; analytical uses of data; computer intensive methods; imputation; index methodology; time series analysis; quality aspects of official statistics production; confidentiality; total survey error; systems and architectures for statistics production; the role of statistics in today's society; the relations between producers, users, and respondents; and evaluation and identification of statistical needs.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.1
2024	0.50

SJR (SCImago Journal Rank)

Year	Value
2024	0.407

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	35

Journal Rank

Year	Value
2024	13642

Journal Citation Indicator

Year	Value
2024	110

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Mathematics, designed to support cutting-edge academic discovery.

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Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Survey Nonresponse Trends and Fieldwork Effort in the 21st Century: Results of an International Study across Countries and Surveys

  Citation: 79

  Authors: Annemieke, Joop, Edith

• Proxy Pattern-Mixture Analysis for a Binary Variable Subject to Nonresponse

  Citation: 10

  Authors: Rebecca R., Roderick J.A.

• Implementing Adaptive Survey Design with an Application to the Dutch Health Survey

  Citation: 8

  Authors: Kees, Suzanne, Barry

• Continuing to Explore the Relation between Economic and Political Factors and Government Survey Refusal Rates: 1960–2015

  Citation: 5

  Authors: Luke J., Joanna Fane, Benjamin M.

• Working with Response Probabilities

  Citation: 5

  Authors: Jelke

• Robust Statistical Estimation for Capture-Recapture Using Administrative Data

  Citation: 4

  Authors: James O., Randall, Li-Chun, Bernard

• In Likert Scale, Is Ticking Options Consecutively at Two Ends Equally Problematic as Ticking in the Middle?

  Citation: 4

  Authors: Melissa Dan, Kit-Tai

• Nonlinear Fay-Herriot Models for Small Area Estimation Using Random Weight Neural Networks

  Citation: 3

  Authors: Paul A.

• Design-Based Predictive Inference

  Citation: 3

  Authors: Li-Chun, Luis, Danhyang

• The Effects of Nonresponse and Sampling Omissions on Estimates on Various Topics in Federal Surveys: Telephone and IVR Surveys of Address-Based Samples

  Citation: 3

  Authors: Floyd J., Philip, Anthony M., J. Lee

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