Research Article
Predicting the Population Growth and Structure of China Based on Grey Fractional-Order Models
Table 4
Prediction of the age structure of the population.
| | | Year | Proportion of aged 0–14 (unit: %) | Proportion of aged 15–64 (unit: %) | Proportion of aged over 65 (unit: %) | Dependency ratio (unit: %) |
| | The fitting samples area | 2015 | 16.50 | 73.00 | 10.50 | 0.37 | | 2016 | 16.69 | 72.47 | 10.80 | 0.38 | | 2017 | 16.80 | 71.84 | 11.35 | 0.39 | | 2018 | 16.83 | 71.21 | 11.96 | 0.40 | | 2019 | 16.81 | 70.58 | 12.60 | 0.42 |
| | Short-term forecast area | 2020 | 16.77 | 69.96 | 13.25 | 0.43 | | 2021 | 16.72 | 69.35 | 13.91 | 0.44 | | 2022 | 16.67 | 68.74 | 14.57 | 0.45 | | 2023 | 16.62 | 68.14 | 15.23 | 0.47 | | 2024 | 16.57 | 67.54 | 15.89 | 0.48 | | 2025 | 16.53 | 66.95 | 16.55 | 0.49 |
| | Medium- to long-term forecast area | 2030 | 16.34 | 63.91 | 19.49 | 0.56 | | 2035 | 16.21 | 60.87 | 21.76 | 0.62 | | 2040 | 16.11 | 57.86 | 23.31 | 0.68 | | 2045 | 16.03 | 54.87 | 24.28 | 0.73 | | 2050 | 15.96 | 51.94 | 24.83 | 0.79 |
|
|