Table 6 The mean predictive errors from 2020 to 2023.
From: A dataset of income distribution on provincial, urban, and rural levels for China from 2020 to 2100
Province | APE (%) | Province | APE (%) |
---|---|---|---|
Beijing | 3.08 | Hubei | 3.38 |
Tianjin | 1.66 | Hunan | 2.34 |
Hebei | 2.28 | Guangdong | 3.87 |
Shanxi | 15.92 | Guangxi | 1.25 |
NeiMongol | 11.90 | Hainan | 4.94 |
Liaoning | 3.08 | Chongqing | 2.35 |
Jilin | 2.05 | Sichuan | 2.03 |
Heilongjiang | 1.58 | Guizhou | 3.94 |
Shanghai | 1.15 | Yunnan | 3.32 |
Jiangsu | 5.49 | Xizang | 9.39 |
Zhejiang | 3.15 | Shaanxi | 2.51 |
Anhui | 1.95 | Gansu | 4.37 |
Fujian | 1.94 | Qinghai | 1.94 |
Jiangxi | 2.65 | Ningxia | 5.23 |
Shandong | 1.94 | Xinjiang | 7.26 |
Henan | 6.85 |