Human-induced carbon dioxide emissions are the major cause of climate change. Although the Philippines’ contribution to global climate change due to carbon emissions is negligible, the trend of carbon emissions from the energy sector is increasing, with emissions expected to quadruple by 2030. Thus, this paper investigates the population factors affecting per capita carbon dioxide emissions (CO2E) in the Philippines. Multiple regression analysis was performed to determine and quantify the level of effect of its population factors such as life expectancy at birth (LEB), urban population (UP), population aging (PA), and energy use per capita (EUPC) that significantly influence the CO2E. The data used for the analysis were retrieved from the World Bank for the period 1985 – 2020. Results showed that LEB, UP, PA, and EUPC are identified as significant factors affecting CO2E. Among these significant factors, EUPC has the largest effect on CO2E (F = 338.81, p = 0.000). Additionally, PA exerts the largest influence as a driving force of CO2E from EUPC (F = 40.83, p = 0.000). The regression model based on the identified significant factors is robust and significant (F = 723.35, p = 0.000), explaining 98.94% of the variation in CO2 emissions in the Philippines. This suggests that the policymakers must consider these four variables in making actions towards reducing carbon emissions in the country.