OBJECTIVES: Earlier studies (Zang et al. 2008) in the field of diabetes identified that there is a significant relationship between the time before diagnosis and health insurance in the USA. Another study (Zang et al. 2012) among US habitants showed that the type of insurance is also significantly related to poor glycemic control. Our study aimed to identify whether there is a relationship between socio-demographics (e.g. insurance type)  and Health Related Quality of Life (HRQoL) among diabetes patients in the USA. Specifically, our study aimed to evaluate the relationship between HRQoL and age, gender, household income, employment and insurance type. METHODS: A cross-sectional survey of diabetes patients (n = 1480)  living in the USA. Each patient completed a comprehensive questionnaire, which included the EQ-5D-5L instrument and accompanying VAS. In addition to the EQ-5D-5L instruments patients were also asked a series of questions to identify their socio-demographic background. By means of logistic linear regression modeling the health utility scores derived from the EQ-5D-5L instrument are linked to the socio-demographic background of the diabetes patients. RESULTS: The tested socio-demographics are significantly related to HRQoL (p <0,0001). Yet, together they explained only 10% of the variation in HRQoL score (R² = 0,10). Insurance by Medicaid (β-value: -0,16)  and employment (β-value: 0,13) were both significantly related to HRQoL (p <0,0001). Household income (p = 0,253), insurance by Medicare (p = 0,16), gender (p = 0,12), level of education (p= 0,04), and age (p=0,013) all were less significantly related to HRQoL. CONCLUSIONS: The study reconfirms the relationship between insurance, employment and health outcomes among diabetes patients in the USA. Previous studies showed that these affect the access to care and the diabetes management, but these are also likely to influence health outcomes in terms of HRQoL.