List of Japanese prefectures by Human Development Index
This article presents a list of Japanese regions by Human Development Index as of 2017. This article also includes a list of Japanese prefectures by historical HDI in 1990, 1995 and 2000 further below. This list differs from the 2017 list in that its data is calculated using the old pre-2010 methodology.
Japanese regions by HDI (2018)
This is a list regions of Japan by Human Development Index calculated using the new methodology.[1]
Rank | Region | HDI (2018) | Comparable countries (2018)[2] |
---|---|---|---|
Very high human development | |||
1 | Southern Kantō (Saitama, Chiba, Tokyo, Kanagawa, Yamanashi, Nagano) | 0.941 | Singapore |
2 | Kansai (Shiga, Kyoto, Osaka, Hyōgo, Nara, Wakayama) | 0.918 | Liechtenstein |
3 | Tōkai (Gifu, Shizuoka, Aichi, Mie) | 0.915 | Austria |
– | Japan | 0.915 | Austria |
4 | Chūgoku (Tottori, Shimane, Okayama, Hiroshima, Yamaguchi) | 0.910 | Luxembourg |
5 | Northern Kantō, Koshin (Ibaraki, Tochigi, Gunma) | 0.903 | Slovenia |
6 | Hokuriku (Niigata, Toyama, Ishikawa, Fukui) | 0.900 | Slovenia |
7 | Shikoku (Tokushima, Kagawa, Ehime, Kōchi) | 0.896 | France |
8 | Kyushu (Fukuoka, Saga, Nagasaki, Kumamoto, Ōita, Miyazaki, Kagoshima, Okinawa) | 0.895 | Spain |
9 | Hokkaido | 0.890 | France |
10 | Tōhoku (Aomori, Iwate, Miyagi, Akita, Yamagata, Fukushima) | 0.886 | Malta |
Japanese prefectures by past HDI using old methodology
This is a list of Japanese prefectures by Human Development Index calculated using the old methodology. This data was taken from the 2007 paper "Gross National Happiness and Material Welfare in Bhutan and Japan" (Tashi Choden, Takayoshi Kusago, Kokoro Shirai, Centre for Bhutan Studies, Osaka University).
Rank | Prefecture | HDI (1990) | HDI (1995) | HDI (2000) |
---|---|---|---|---|
1 | Tokyo | 0.9296 | 0.9448 | 0.9667 |
2 | Aichi | 0.9115 | 0.9265 | 0.9460 |
3 | Shiga | 0.9080 | 0.9229 | 0.9426 |
4 | Shizuoka | 0.9056 | 0.9204 | 0.9402 |
5 | Fukui | 0.9027 | 0.9204 | 0.9401 |
6 | Toyama | 0.9031 | 0.9205 | 0.9392 |
7 | Osaka | 0.9003 | 0.9177 | 0.9390 |
8 | Nagano | 0.8980 | 0.9148 | 0.9365 |
9 | Ishikawa | 0.8991 | 0.9163 | 0.9364 |
10 | Hiroshima | 0.9032 | 0.9170 | 0.9361 |
11 | Kyoto | 0.8952 | 0.9123 | 0.9333 |
12 | Mie | 0.8934 | 0.9123 | 0.9329 |
13 | Kanagawa | 0.8996 | 0.9119 | 0.9324 |
14 | Yamanashi | 0.8944 | 0.9094 | 0.9319 |
15 | Okayama | 0.8992 | 0.9152 | 0.9316 |
16 | Kagawa | 0.8945 | 0.9122 | 0.9304 |
17 | Gunma | 0.8957 | 0.9117 | 0.9303 |
18 | Tochigi | 0.8955 | 0.9107 | 0.9294 |
19 | Niigata | 0.8921 | 0.9095 | 0.9290 |
20 | Hyōgo | 0.8950 | 0.9086 | 0.9290 |
21 | Ōita | 0.8891 | 0.9076 | 0.9285 |
22 | Gifu | 0.8921 | 0.9070 | 0.9263 |
23 | Hokkaidō | 0.8863 | 0.9068 | 0.9260 |
24 | Ibaraki | 0.8928 | 0.9080 | 0.9259 |
25 | Yamaguchi | 0.8924 | 0.9084 | 0.9258 |
26 | Miyagi | 0.8926 | 0.9071 | 0.9247 |
27 | Fukushima | 0.8880 | 0.9044 | 0.9241 |
28 | Tottori | 0.8887 | 0.9045 | 0.9239 |
29 | Shimane | 0.8858 | 0.9021 | 0.9231 |
30 | Fukuoka | 0.8896 | 0.9061 | 0.9228 |
31 | Kumamoto | 0.8872 | 0.9045 | 0.9225 |
32 | Ehime | 0.8862 | 0.9047 | 0.9221 |
33 | Chiba | 0.8868 | 0.9019 | 0.9219 |
34 | Yamagata | 0.8855 | 0.9014 | 0.9216 |
35 | Saga | 0.8810 | 0.9021 | 0.9189 |
36 | Iwata | 0.8792 | 0.8998 | 0.9186 |
37 | Tokushima | 0.8831 | 0.9005 | 0.9182 |
38 | Nara | 0.8794 | 0.8944 | 0.9169 |
39 | Saitama | 0.8811 | 0.8956 | 0.9166 |
40 | Kōchi | 0.8781 | 0.8964 | 0.9156 |
41 | Wakayama | 0.8770 | 0.8957 | 0.9155 |
42 | Miyazaki | 0.8780 | 0.8959 | 0.9148 |
43 | Akita | 0.8777 | 0.8951 | 0.9142 |
44 | Nagasaki | 0.8749 | 0.8949 | 0.9127 |
45 | Kagoshima | 0.8762 | 0.8938 | 0.9127 |
46 | Okinawa | 0.8810 | 0.8940 | 0.9111 |
47 | Aomori | 0.8698 | 0.8877 | 0.9065 |
References
- "Sub-national HDI - Area Database - Global Data Lab". hdi.globaldatalab.org. Retrieved 5 January 2019.
- "Human Development Report 2018 – "Human Development Indices and Indicators"" (PDF). HDRO (Human Development Report Office) United Nations Development Programme. pp. 22–25. Retrieved 5 January 2019.
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