Journal of the Royal Statistical Society Series A (Statistics in Society) (J R STAT SOC A STAT)

Publisher: Royal Statistical Society (Great Britain), Wiley

Journal description

Datasets relating to articles published in the four series of the Journal of the Royal Statistical Society are available online. Please click here Statistics in Society publishes original papers whose primary appeal lies in their subject-matter rather than in their technical statistical content to encourage clear statistical thinking on issues of importance to society. The journal's particular focus is on statistics as applied to social issues and this is interpreted broadly to include all disciplines which take people as their subject-matter. Thus education sociology medicine psychology the law demography government and politics economics and social geography all fall within its remit. The journal welcomes contributions from workers in central and local government or in business as well as academics and researchers in relevant disciplines. Papers should generally have a substantial statistical component but innovative statistical methods are not essential. Papers containing mathematical exposition are acceptable provided that this is relevant and that explanations are presented in clear English. Review papers are encouraged. The journal also welcomes relevant methodological papers with illustrative applications involving appropriate data. Such papers could include discussions of methods of data collection and of ethical issues.

Current impact factor: 1.64

Impact Factor Rankings

2015 Impact Factor Available summer 2016
2014 Impact Factor 1.643
2013 Impact Factor 1.573
2012 Impact Factor 1.361
2011 Impact Factor 2.11
2010 Impact Factor 2.57
2009 Impact Factor 1.69
2008 Impact Factor 1.484
2007 Impact Factor 1.654
2006 Impact Factor 1.547
2005 Impact Factor 1.075
2004 Impact Factor 0.796
2003 Impact Factor 1.068
2002 Impact Factor 1.315
2001 Impact Factor 1.532
2000 Impact Factor 1.277
1999 Impact Factor 0.804
1998 Impact Factor 1.962
1997 Impact Factor 1.556

Impact factor over time

Impact factor

Additional details

5-year impact 2.30
Cited half-life >10.0
Immediacy index 0.48
Eigenfactor 0.01
Article influence 1.64
Website Journal of the Royal Statistical Society - Series A: Statistics in Society website
Other titles Journal of the Royal Statistical Society., Journal of the Royal Statistical Society. Series A, Statistics in society, Statistics in society
ISSN 0964-1998
OCLC 42017027
Material type Document, Periodical, Internet resource
Document type Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details


  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author cannot archive a post-print version
  • Restrictions
    • 12 months embargo
  • Conditions
    • Some journals have separate policies, please check with each journal directly
    • On author's personal website, institutional repositories, arXiv, AgEcon, PhilPapers, PubMed Central, RePEc or Social Science Research Network
    • Author's pre-print may not be updated with Publisher's Version/PDF
    • Author's pre-print must acknowledge acceptance for publication
    • Non-Commercial
    • Publisher's version/PDF cannot be used
    • Publisher source must be acknowledged with citation
    • Must link to publisher version with set statement (see policy)
    • If OnlineOpen is available, BBSRC, EPSRC, MRC, NERC and STFC authors, may self-archive after 12 months
    • If OnlineOpen is available, AHRC and ESRC authors, may self-archive after 24 months
    • Publisher last contacted on 07/08/2014
    • This policy is an exception to the default policies of 'Wiley'
  • Classification
    ​ yellow

Publications in this journal

  • Journal of the Royal Statistical Society Series A (Statistics in Society) 08/2015;
  • Journal of the Royal Statistical Society Series A (Statistics in Society) 01/2015; 178(1). DOI:10.1111/j.1467-985X.2014.12096_1.x
  • Journal of the Royal Statistical Society Series A (Statistics in Society) 02/2014; 177(2). DOI:10.1111/rssa.12050_4
  • [Show abstract] [Hide abstract]
    ABSTRACT: Interviewer observations made during the process of data collection are currently used to inform responsive design decisions, to expand the set of covariates for nonresponse adjustments, to explain participation in surveys, and to assess nonresponse bias. However, little effort has been made to assess the quality of such interviewer observations. Using data from the Los Angeles Family and Neighbourhood Survey (L.A.FANS), this paper examines measurement error properties of interviewer observations of neighbourhood characteristics. Block level and interviewer covariates are used in multilevel models to explain interviewer variation in the observations of neighbourhood features.
    Journal of the Royal Statistical Society Series A (Statistics in Society) 10/2013; 176(1):227-249. DOI:10.1111/j.1467-985X.2012.01065.x
  • [Show abstract] [Hide abstract]
    ABSTRACT: For the year ended December 31st, 2012, presented at the 179th Annual General Meeting of the Royal Statistical Society held at 12 Errol Street, London, on June 26th, 2013 President's forewordWe had marked out 2012 as a year of consolidation for the Society as we charted our way through difficult financial times. The challenges of the wider economic climate and the future threat to our revenue from proposals for open access' publishing, coupled with a deficit in our budget, caused us to begin the year with some concern. Thanks to a magnificent effort from our Executive Director, Hetan Shah, and all the staff at the Society, we have ended the year in a much stronger position. Through a combination of good cost control and imagination the budget deficit has turned into a year-end surplus. Our reserves going into 2013 are healthy, at the upper end of the policy range agreed by Council. All members of the Society owe the team at Errol Street a great debt. Thank you for all your hard work. Although attrition continues to eat into our membership base we recruited 399 new members during the year: 88 more than in 2011. Let me take this opportunity to welcome you to our thriving Society. We also saw a record number of professional awards since the year 200044 CStat' and 106 GradStat' awards were made. Our excellent conference at Telford greeted 390 people from 27 countries, with 173 talks and 47 poster presentations. Hal Varian, Chief Economist of Google, reminded us that statistics is the current sexy profession'. Julian Champkin brought along one of the original Enigma machines to recall the power of mathematical and statistical thinking. The Young Statisticians were everywhere enthusing and encouraging delegates. The year saw journals submission numbers up for all three series. Thanks to our partnership with the American Statistical Association we increased publication of Significance magazine from four to six issues in the year. The on-line version had 415 000 visits from 209 countries. Our global reach for examinations took a further step forward, being offered for the first time in Japan, thanks to our licence agreement with the Japan Statistical Society. New Sections for Applied Probability and Statistics in Sport were created as well as a History of Statistics Study Group. Existing Sections and Local Groups thrived with a bumper crop of meetings on an incredibly diverse range of topics. I especially enjoyed debates at Local Group meetings in Edinburgh and Plymouth. Our getstats' campaign really took off, thanks to the support of the Nuffield Foundation. 30 workshops at 25 venues reached 350 students, 70 practising journalists and 100 press officers. Well-attended events in Parliament, supported by SAS UK and Ireland, explored the use of statistics in health, crime and education as well as a more light-hearted look at sport. Most promising of all, we worked closely with a wide range of others on improving the position of statistics in education. Danny Dorling, our Beveridge lecturer, issued a challenge to the Society to extend its reach and impact. Our long-term strategy review has been reviewing the opportunities during the year, ready to report in 2013. In our membership survey, 94% of respondents indicated that they would recommend membership to a friend or colleague. 80% indicated that they would be interested in actively contributing to the Society. We are now ready to step up for 2013, the International Year of Statistics. John Pullinger
    Journal of the Royal Statistical Society Series A (Statistics in Society) 10/2013; 176(4):981-1071. DOI:10.1111/rssa.12032