List of Nigerian states by Human Development Index
This article presents two lists of Nigerian states by Human Development Index (HDI), including the Federal Capital Territory. The first list from the Radboud University Nijmegen ranks the states by the international HDI-methology. The second list ranks the states by an own methology from the United Nations Development Programme.
List (2018, Radboud University)
Nigerian states by Human Development Index as of 2018, including the Federal Capital Territory. A country with a comparable value in the same year is also listed.[1]
![](../I/m/Nigerian_States_2018_HDI.svg.png)
Nigerian States HDI as of 2018
0.651 to 0.700
0.601 to 0.650
0.551 to 0.600
0.501 to 0.550
0.451 to 0.500
0.401 to 0.450
0.351 to 0.400
List (2016, UNDP)
Nigerian states by Human Development Index as of 2016, including the Federal Capital Territory.[3]
Rank | State | HDI (2016) | Longevity Index | Education Index | GNI per capita (in USD) |
---|---|---|---|---|---|
1 | Lagos | 0.652 | 0.459 | 1.007 | 7,972 |
2 | Federal Capital Territory | 0.629 | 0.506 | 0.815 | 8,174 |
3 | Bayelsa | 0.591 | 0.475 | 0.926 | 3,441 |
4 | Akwa Ibom | 0.564 | 0.491 | 0.905 | 2,259 |
5 | Ekiti | 0.561 | 0.522 | 0.894 | 1,898 |
6 | Delta | 0.556 | 0.459 | 0.906 | 2,408 |
7 | Cross River | 0.551 | 0.538 | 0.857 | 1,720 |
8 | Ogun | 0.549 | 0.522 | 0.780 | 2,297 |
9 | Rivers | 0.542 | 0.427 | 0.922 | 2,264 |
10 | Abia | 0.541 | 0.506 | 0.881 | 1,629 |
10 | Enugu | 0.541 | 0.506 | 0.894 | 1,573 |
12 | Edo | 0.530 | 0.475 | 0.849 | 1,798 |
13 | Imo | 0.518 | 0.522 | 0.916 | 1,080 |
14 | Osun | 0.512 | 0.506 | 0.855 | 1,225 |
15 | Kwara | 0.511 | 0.506 | 0.697 | 1,910 |
– | ![]() |
0.511 | 0.459 | 0.797 | 1,756 |
16 | Nasarawa | 0.506 | 0.475 | 0.786 | 1,562 |
17 | Ondo | 0.500 | 0.506 | 0.871 | 1,031 |
18 | Anambra | 0.471 | 0.443 | 0.921 | 860 |
19 | Plateau | 0.463 | 0.411 | 0.766 | 1,261 |
20 | Benue | 0.462 | 0.427 | 0.806 | 1,053 |
21 | Taraba | 0.461 | 0.427 | 0.755 | 1,178 |
22 | Kogi | 0.451 | 0.411 | 0.857 | 883 |
23 | Oyo | 0.440 | 0.491 | 0.683 | 851 |
24 | Ebonyi | 0.434 | 0.443 | 0.763 | 788 |
25 | Adamawa | 0.429 | 0.364 | 0.661 | 1,369 |
26 | Kaduna | 0.404 | 0.396 | 0.642 | 885 |
27 | Gombe | 0.401 | 0.443 | 0.492 | 1,113 |
28 | Niger | 0.399 | 0.475 | 0.560 | 772 |
29 | Kebbi | 0.382 | 0.506 | 0.396 | 988 |
30 | Jigawa | 0.360 | 0.427 | 0.431 | 841 |
31 | Kano | 0.359 | 0.427 | 0.496 | 676 |
32 | Zamfara | 0.339 | 0.475 | 0.424 | 575 |
33 | Borno | 0.328 | 0.364 | 0.587 | 475 |
34 | Yobe | 0.325 | 0.380 | 0.330 | 967 |
35 | Bauchi | 0.323 | 0.396 | 0.415 | 626 |
36 | Katsina | 0.303 | 0.459 | 0.440 | 400 |
37 | Sokoto | 0.291 | 0.475 | 0.334 | 448 |
gollark: If you had nestable lists, I had a great idea for how to hack those into numbers more efficiently than unary.
gollark: ???
gollark: What data types do you have?
gollark: Unary is totally practical except for negative numbers.
gollark: TROUT
References
- "Sub-national HDI - Subnational HDI - Global Data Lab". globaldatalab.org. Retrieved 2020-02-27.
- "Human Development Report 2019 – "Human Development Indices and Indicators"" (PDF). HDRO (Human Development Report Office) United Nations Development Programme. pp. 22–25. Retrieved 27 February 2020.
- "National Human Development Report 2018" (PDF).
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