Research Article
Geospatial Analysis and Research on Social and Spatial Inequality of Compulsory Education: A Case Study of Hangzhou, China
Table 2
Descriptive statistics of variables.
| Variables | Unit | Maximum | Minimum | Mean | Median |
| Housing price | US dollar2 | 21,033.67 | 1,432.46 | 5,300.65 | 5,100.51 | Central potential | | 1,377.68 | 0.34 | 39.84 | 23.48 | Traffic potential | | 29,331.91 | 5.81 | 3,044.88 | 1,784.13 | Landscape potential | | 8,626.91 | 22.31 | 2,188.66 | 1,814.43 | House age | Years old | 41.00 | 3.00 | 16.06 | 16.00 | Greening rate | % | 75.46 | 10.00 | 30.46 | 30.00 | Accessibility to primary school | — | 185.59 | 0.00 | 1.43 | 0.85 | Accessibility to secondary school | — | 6.80 | 0.00 | 0.72 | 0.54 | Lifestyle facilities | | 2,145.22 | 3.11 | 278.97 | 218.45 | Medical facilities | | 2,245.79 | 1.43 | 261.06 | 190.80 | Financial facilities | | 3,150.78 | 7.66 | 359.87 | 244.95 | Housing price | | 3,859.43 | 2.49 | 484.54 | 373.22 | Central potential | | 1,372.29 | 1.24 | 134.41 | 107.80 | Traffic potential | | 8,921.95 | 9.13 | 1,118.31 | 776.98 |
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