List of Japanese prefectures by Human Development Index

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Map of Japanese regions and prefectures by HDI in 2017.
Legend:
  > 0.930
  0.900 – 0.930
  0.890 – 0.900
  < 0.890

This article presents a list of Japanese regions by Human Development Index as of 2019. This article also includes a list of Japanese prefectures by historical HDI in 1990, 1995 and 2000 further below.

Japanese regions by HDI (2019)[]

This is a list regions of Japan by Human Development Index calculated using the new methodology.[1]

Rank Region HDI (2019) Comparable countries (2019)[2]
Very high human development
1 Southern Kantō (Saitama, Chiba, Tokyo, Kanagawa, Yamanashi, Nagano) 0.944  Australia,  Netherlands
2 Kansai (Shiga, Kyoto, Osaka, Hyōgo, Nara, Wakayama) 0.921  Austria
–  Japan 0.919  Israel,  Liechtenstein
3 Tōkai (Gifu, Shizuoka, Aichi, Mie) 0.917  Slovenia
4 Chūgoku (Tottori, Shimane, Okayama, Hiroshima, Yamaguchi) 0.914  Luxembourg,  South Korea
5 Northern Kantō, Koshin (Ibaraki, Tochigi, Gunma) 0.906  Spain
6 Hokuriku (Niigata, Toyama, Ishikawa, Fukui) 0.902  France
7 Shikoku (Tokushima, Kagawa, Ehime, Kōchi) 0.898  Czech Republic
Kyushu (Fukuoka, Saga, Nagasaki, Kumamoto, Ōita, Miyazaki, Kagoshima, Okinawa)
9 Hokkaido 0.893  Estonia,  Italy
10 Tōhoku (Aomori, Iwate, Miyagi, Akita, Yamagata, Fukushima) 0.887  Cyprus

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).

Map of the prefectures of Japan by HDI as of 2000.
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  Iwate 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[]

  1. ^ "Sub-national HDI - Area Database - Global Data Lab". hdi.globaldatalab.org.{{cite web}}: CS1 maint: url-status (link)
  2. ^ "Human Development Report 2020 The Next Frontier: Human Development and the Anthropocene" (PDF). HDRO (Human Development Report Office) United Nations Development Programme. pp. 22–25. Retrieved 15 December 2020.{{cite web}}: CS1 maint: url-status (link)
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