The rapid economic development provides the basis for population growth, and population growth will cause changes in the population structure, which in turn will bring many opportunities and challenges to social and economic development. Taking Guangdong Province as an example, this article collects relevant data on the five major indicators of population age structure, population cultural structure, population urban-rural structure, population industrial structure, and economic development from 2000 to 2019, and uses principal component analysis to analyze the data. Through analysis, it is found that the proportion of the working-age population in the total population, the proportion of the population with high school (including secondary vocational) and above in the total population and the change in the proportion of employment in the tertiary industry has a positive impact on the change in Guangdong's per capita GDP; The number of years of education is the proportion of the population of junior high school and below in the total population, the proportion of the rural population in the total population, and the change in the proportion of the employed population in the secondary industry will have a negative impact on the changes in Guangdong's per capita GDP. Finally, in response to this result, this article also puts forward suggestions in four aspects: population age structure, population cultural structure, population urban and rural structure, and population industrial structure. I hope these suggestions can provide references for sustainable economic development.