What can large datasets tell us about the propensity of workers to disclose their disability? By comparing two large employee-based datasets from the same underlying population, this study aims to identify patterns of disability disclosure across age, gender, education, and public service classification levels. Data are obtained from the Australian Public Service Employment Database (150,000+ employees), a collection of information of every federal Australian public employee, and the APS State of the Service Employee Census (100,000+ respondents), an anonymous, non-compulsory survey of the same population. People with a disability who have not disclosed to their agency may be captured in the anonymous survey. The two datasets are compared regarding how many individuals have a disability at each variable (i.e. male/female, etc.). The data show that patterns of disclosure do differ across job classification levels and age, but not by gender or education levels.

中文翻译：

---

澳大利亚公共服务部门的残疾信息披露：统计数据告诉我们什么

大型数据集可以告诉我们什么关于工人披露其残疾的倾向？通过比较来自同一基础人群的两个基于员工的大型数据集，本研究旨在确定不同年龄、性别、教育和公共服务分类级别的残疾披露模式。数据来自澳大利亚公共服务就业数据库（超过 150,000 名员工），该数据库收集了每位澳大利亚联邦公务员的信息，以及 APS 服务业员工普查（超过 100,000 名受访者），这是一项匿名的非强制性调查相同的人口。未向其机构披露的残障人士可能会参与匿名调查。比较两个数据集关于每个变量（即男性/女性等）有多少人具有残疾。