Journal of Official Statistics

SJR Rank #12,491H-index: 38SJR: 0.473Best quartile: Q2Open Access
Journal website: aims, scope and author guidelines
Publisher

SAGE Publications Ltd

Country

United Kingdom

Type

journal

SJR by Edition

2022202500.150.30.450.6

Subject Categories

  • Statistics and ProbabilityQ2

Areas: Mathematics

Most published research topics

Survey Methodology and NonresponseStatistical Methods and Bayesian InferenceCensus and Population EstimationStatistical Methods and InferenceData-Driven Disease SurveillanceSurvey Sampling and Estimation TechniquesHealthcare Policy and Managementdemographic modeling and climate adaptationEconomic and Environmental ValuationAdvanced Statistical Methods and Models

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs0306090120

Documents per Year

20222025015304560

Detailed Information

ISSN

2001-7367, 0282-423X

SJR Best Quartile

Q2

Region

Western Europe

Citations per Document (2 years)

0.72

References per Document

34.10

Coverage

1986-1989, 1991, 2009-2025

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.

Metrics from SCImago Journal Rank 2025. View on SCImago