This paper examined the extent to which socio-economic and demographic characteristics are related to the levels of vision of persons with visual impairment and blindness. A mixed method approach was employed in this study. Data collection was conducted in Siyanethugama Village in Hambanthota district and Polpithigama Divisional Secretariat in Kurunegala district in Sri Lanka. The study deployed convenient and purposive sampling techniques. Information was gathered through questionnaires and personal interviews. Overall, results revealed that level of vision vary with several socio-economic characteristics. Age and education were not related to the levels of vision in the Polpithigama region whereas in the Hambanthota region a significant relationship between age and education with levels of vision was observed. Income was not related to the level of vision. Participants' views and opinions of resources, opportunities, income, employment, and government activities were found to be the driving forces of quality of life related to vision. The study concluded that age and education need to be considered in improving quality of life related to vision and further investigations are needed to determine the relationships between levels of vision and socio-demographic characteristics and to explore perceptions related to vision impairments.

People’s quality of life (QOL) has been disrupted globally in the wake of the pandemic in recent times. This was mainly due to global economic crises fuelled by the coronavirus (COVID– 19) and other related factors. Sri Lanka, too, was facing major social and economic constraints in the period 2021–2022. Thus, all communities islandwide have been economically disturbed. Among others, people with Visual Impairment and Blindness (VIB) have been pushed to severely disadvantageous positions, financially and otherwise. A sample from three geographical locations in Sri Lanka; and eleven individuals representing diverse cadres in Sri Lankan society were purposively selected for the study based on the existence of the majority of the visually impaired community using a mixed approach. Descriptive statistics were utilised to analyse the identified socio-economic characteristics. Ordered probit regression was employed to determine the mediating effect of socio-economic status on income levels. Word Cloud illustrates the factors affecting the QOL. Most severely impaired individuals are more likely to earn a lower rate of income. This situation has degraded their lives and poor QOL. Participants’ responses elucidate that facilities, resources, education, opportunities, income, employment, and government activities would enhance their QOL. The study adds value to society by recognising VIB people, helping them gain financial independence and strengthening them without marginalising the impaired community. The proposed policies in this study would be valuable for these social groups to address their wealth concerns.