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This paper is focused on determining the association between access to health (independent variable) and subjective well-being (dependent variable). The study is quantitative in nature. The data was collected from district Swat. The research design included a multistage sampling procedure. The region is divided into tehsils, union councils, and lastly, urban and rural settlement distribution. A sample size of 470 was selected. A structured interview schedule was used for taking primary information regarding the study objectives. The information that was gathered was then prepared for analysis by being coded and entered into SPSS software version 25. Statistical tests including univariate, bivariate, and multivariate analyses were applied to the data. the study found that the affordability of medicine, access to health services, affordable primary care doctors' prevalence, and affordable hospitals were tumbling factors that further deteriorated the health status of the inhabitants. The study recommends that Health services can be made more accessible by connecting people via internet porters and providing basic care via telemedicine.

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Call, K. T., McAlpine, D. D., Garcia, C. M., Shippee, N., Beebe, T., Adeniyi, T. C., & Shippee, T. (2014). Barriers to care in an ethnically diverse publicly insured population: is health care reform enough?. Medical care, 720-727.

Cao, X., 2016. How does neighborhood design affect life satisfaction? Evidence from Twin Cities. Travel Behav. Soc. 5, 68–76.

Dai, D. (2010). Black residential segregation, disparities in spatial access to health care facilities, and late-stage breast cancer diagnosis in metropolitan Detroit. Health & place, 16(5), 1038-1052.

Diener, E., Chan, MY. Happy people live longer: subjective well-being contributes to health and longevity, Appl Psychol Health Well Being, 2011, 3:1–43

Diener, E., Oishi, S., & Lucas, R. (2012). Subjective well-being: The science of happiness and lifesatisfaction. In S. J. Lopez & C. R. Snyder (Eds.), The Oxford Handbook of Positive Psychology (2 ed., pp. 63-73).

Fleche, S., Smith, C., & Sorsa, P. (2011). Exploring determinants of subjective well-being in OECD countries: Evidence from the World Value Survey (No. 921). OECD Publishing. http://dx. doi. org/10.1787/5kg0k6zlcm5k-en. Gray BJ et al., (2019) Employment status and impact on mental well-being in the UK working age population: a cross-sectional analysis. The Lancet, 394, S44.

Green, L. V., Savin, S., & Lu, Y. (2013). Primary care physician shortages could be eliminated throughuse of teams, nonphysicians, and electronic communication. Health Affairs, 32(1), 11-19.

Steptoe A, ed. Depression and Physical Illness. Cambridge: Cambridge University Press; 2006.

Stiglitz, J. E., Sen, A., & Fitoussi, J.-P. (2009). Report by the Commission on the Measurement of Economic Performance and Social Progress. Paris: INSEE.

Syed, S. T., Gerber, B. S., & Sharp, L. K. (2013). Traveling towards disease: transportation barriers to health care access. Journal of community health, 38(5), 976-993.

Thaddeus, S., & Maine, D. (1991). Too far to walk: maternal mortality in context. Newsletter (Women's Global Network on Reproductive Rights), (36), 22-24.

Wikman A, Wardle J, Steptoe A. Quality of life and aff ective well-being in middle-aged and older people with chronic medical illnesses: a cross-sectional population based study. PLoS One 2011; 6: e18952

Windle G, Hughes D, Linck P, Russell I, Woods B. Is exercise eff ective in promoting mental well-being in older age? A systematic review. Aging Ment Health 2010; 14: 652–69.