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2012 IA Salary and Benefits Survey Released
January 31, 2013 05:24 PM
Results of the 2012 IA Salary and Benefits Survey are now available!
The Information Architecture Institute conducts an annual salary survey to capture information on compensation, daily work habits and demographics of information architecture practitioners. Summary data, as well as open-ended responses are presented, helping formulate questions for next year's survey. The most recent Salary Survey as well as past years surveys can be found online at http://iainstitute.org. Please send any feedback or requests to info@iainstitute.org.
The 2012 IAI Salary Survey was conducted from July to November 2012. Members of the IA Institute, IxDA and sigia-l were invited to participate. A link to the survey was also promoted via the IA Institute homepage, newsletter and Twitter account. A total of 309 responses were collected. Respondents who did not enter a salary range were filtered out for salary calculation purposes, as was one obvious protest entry (presumably a disgruntled building architect, objecting to our use of the term “architecture”). You may download the expanded results at expanded results (
XLSX 702KB). We remain a relatively small community, so we removed city data from the results due to concerns about the privacy of individuals in places where a small, easily identifiable population of respondents live. A list of cities is available in the full survey download (
PDF 2.1MB) and a narrower analysis by location is available by request.
Since respondents gave us a salary range instead of an exact salary figure, it is impossible to estimate a true average or median salary. In our analysis, we have estimated the median for various data points by taking the midpoint of the salary range a person selected and then averaging that figure for various data points, eliminating the "Over $200,000" and "Under $10,000" groups, which do not have a midpoint. We also present median salary estimates, based on midpoints, for comparison purposes, but it is better to read the survey results in terms of a percentage that falls within a range rather than thinking in terms of a specific salary.
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