Index of relative socio-economic disadvantage (points, mean=1000, lower score=more disadvantage)

Identified variables representing disadvantage from educational, income and occupation core cvariables as well as number of cars, bedrooms, mortgage status, fluency in English. Data was analysed using principle components analysis.

本数据集包含的已识别变量包括表征教育、收入与职业核心维度下社会劣势的指标，同时涵盖汽车拥有量、卧室数量、抵押贷款状态及英语流利程度相关变量；本研究采用主成分分析（Principal Components Analysis）方法对该数据集进行了分析。