Technological developments, improvement of health services, advances in geriatric science and an overall increase in quality of life (QOL) have caused a decrease in human mortality and an increase in the ratio of elderly population within the average population. Depending on geography, this proportional rise often differs in the world's developed and developing countries. Different agglomerations have been seen in the elderly population of Turkey in urban and rural settlements. The purpose of the analysis is to assess if there is a connection between the rural and urban agglomeration of Turkey's elderly population and the provincial data on the QOL. The goal is also to decide which cities are crowded with the elderly, whose ratio rises every year; to see which of the QOL indicators in these cities stand out and which are lacking. The present study's sub-objectives are to draw attention to the elderly's QOL and to highlight the fact that older people are part of social life, structure and culture. In the review, the methods of literature research and field analysis were used jointly. Using the location coefficient technique, the agglomeration maps of the elderly population were made for urban and rural areas. In this report, as the rural settlements of the provinces that were in Metropolitan Municipalities in 2012 were converted into neighborhoods under Law No. 6360 on rural and urban settlements, instead of current statistics, the elderly population data for 2012 were used. In this sense, the 2013 data was regarded as the basis of the TURK-STAT QOL survey instead of the current QOL data. The agglomeration maps developed by the provinces with the highest and lowest accumulation of elderly in urban and rural areas were taken into consideration. QOL data has been analyzed and interpreted in depth in the selected provinces. The indicators that are not age-related (e.g. YGS (university admissions exam) average score) and may vary in the form of rural-urban settlement difference (e.g. airport access rate) were not included in the analysis. The new indicators were therefore analyzed under 10 headings: housing, income and wealth, health, education, environment, safety, civic participation, access to infrastructure services, social life and the level of happiness over the age of 65. In addition, age dependency ratio was also taken into account in the comments. Finally, a comparison table with parameters acceptable for the QOL of the elderly was developed for the chosen cities. In the present study, the old age limit was taken into account as 65 years and above, and how the concept of old age changed in the historical process was also observed. Demographic changes, elderly population rates, crude death rate and population estimates in Turkey have been examined with related statistics in mind. Scientific studies which have explored the factors in the world assessing the QOL in old age were reviewed. In this way, it has been ensured that the concept of QOL is viewed through the scope of old age requirements. The claim that "the accumulation of the elderly population in Turkey at the provincial level and the provincial QOL data is directly proportional" is endorsed as a result of the report. In cities where the concentration of elderly people is lower, it has been found that women, in particular, are less satisfied with health, education, housing, income and wealth satisfaction. It was found that even in settlements where the elderly density is poor, the elderly participate in the work life actively.