Power Hierarchy

In this section, the power hierarchy as measured by the new index of national power (NPI) is displayed in several different ways. (To see them in a tabular form, please go to Tables page.)

  • A 1000-step power ladder, normed to range between 0 and 1
  • Power-hierarchy as ordered by the current ranking, along with ultimate power-potential
  • Power-hierarchy ordered by the population index (the ultimate power potential)

The first visual display uses a 1000-step ladder, where the weakest nation is placed at 0 and strongest nation is placed at 1.000. The only metric that is meaningful is the relative distance between the nations. In order to show the relative power differences among all 187 nations in a single page, the ladder has been folded back upon itself so that we can see the countries ordered in a zig-zag fashion. If one moves the mouse over a dot, the tooltip will show:

  • Name of the nation
  • Its power rank and index value, normed between (0, 1.0)
  • Standardized score (z-score) for the power index
  • Its rank on population and RPI
  • Its rank on human development and HDQ
  • The geometric mean of RPI and HDQ = √(RPI*HDQ) 

There are several important points to note about the power hierarchy:

  1. The power ranking reveals as much as it hides: a difference of one-rank position in some parts of the hierachy is as great as 20-rank difference in another parts of the hierarchy. For instance the power-difference between the strongest nation (USA) and the second strosngest nation (Japan) is greater than the power difference of 20-ranks in the middle of the power hierarchy.
  2. The power differences among the nations appear to be severely compressed with exaggerated difference among the top range countries and smaller, more condensed differences for the bottom range countries, when viewed in light of the existing indicators of national power such as GNI or CINC. For instance, a relatively small nation (both in population and GNP) such as South Korea has its index value at the 85% level of the strongest nation. Many nations in the middle ranges, even with 50 or more rank differences, have relatively small actual power difference.
  3. These scale values have real meaning when they are examined in the context of bilateral competition and the associated winning probabilities. (See the section Winning Probability).
  4. The important but not obvious implication of the “compressed” hierachy is that a weaker nation has a fighting chance against a much stronger nation with compensatory strenths in such intangibles as leadership, determination, solidarity, and strategic focus, and so on.

(If you do not see the dynamic graph, then you do not have a properly installed CDF Player from Wolfram Mathematica).

Tabular display of NPI with some added  information is  given below. By clicking the arrowheads, you can rearrange and sort the data. The short explanation of the column headings of the table are:

Nation NPIRnk NPIz NPIs NpiWinP RPIRnk RPIs HDIRnk HDQ
United_States 1 2.52291 1 0.994181 3 0.887901 3 0.981152
Japan 2 2.11344 0.947358 0.982718 10 0.818723 10 0.954974
Germany 3 1.99016 0.931508 0.976713 15 0.784675 5 0.963351
China 4 1.8743 0.916614 0.969556 1 1 101 0.731937
France 5 1.80563 0.907786 0.964512 21 0.767749 20 0.935079
Korea_Rep 6 1.77066 0.903289 0.961691 26 0.746782 12 0.951832
Italy 7 1.73148 0.898253 0.958317 23 0.761948 25 0.922513
United_Kingdom 8 1.7207 0.896867 0.957347 22 0.764807 26 0.91623
Spain 9 1.64915 0.887668 0.950441 29 0.740734 23 0.926702
Canada 10 1.64685 0.887372 0.950205 37 0.719113 11 0.953927
Russia 11 1.63199 0.885462 0.948659 9 0.827785 55 0.825131
Australia 12 1.58552 0.879489 0.943576 50 0.686059 2 0.982199
Mexico 13 1.5202 0.87109 0.935769 11 0.814569 61 0.811518
Brazil 14 1.4729 0.86501 0.929611 5 0.852752 85 0.764398
Netherlands 15 1.40758 0.856611 0.920372 61 0.662845 4 0.964398
Poland 16 1.33188 0.84688 0.908551 33 0.726783 39 0.859686
Argentina 17 1.31372 0.844545 0.90553 32 0.731694 45 0.849215
Iran 18 1.22954 0.833722 0.890565 17 0.779369 76 0.776963
Sweden 19 1.16766 0.825768 0.878529 86 0.619333 7 0.959162
Belgium 20 1.16256 0.825112 0.877496 76 0.631447 17 0.939267
Turkey 21 1.13136 0.8211 0.871047 18 0.776889 90 0.756021
Switzerland 22 1.08758 0.815472 0.861609 92 0.60597 9 0.956021
India 23 1.07033 0.813255 0.857766 2 0.993226 136 0.580105
Saudi_Arabia 24 1.06754 0.812896 0.857137 45 0.70302 57 0.818848
Ukraine 25 1.05377 0.811126 0.854006 30 0.739688 78 0.774869
Czech 26 1.05376 0.811124 0.854003 79 0.626996 28 0.914136
Indonesia 27 1.05095 0.810763 0.853358 4 0.869442 121 0.658639
Austria 28 1.04721 0.810282 0.852499 90 0.610315 18 0.937173
Chile 29 1.0426 0.80969 0.851433 58 0.665974 40 0.857592
Israel 30 1.03777 0.809069 0.850313 94 0.605108 16 0.942408
Norway 31 1.03735 0.809014 0.850213 114 0.570181 1 1
Greece 32 1.0335 0.80852 0.849316 74 0.632393 29 0.900524
Malaysia 33 1.0261 0.807568 0.847577 44 0.705563 64 0.805236
Hong_Kong 34 1.01847 0.806587 0.845772 98 0.597418 13 0.948691
Romania 35 0.985098 0.802297 0.837712 54 0.681321 56 0.823037
Colombia 36 0.978203 0.801411 0.836013 28 0.743165 91 0.75288
Thailand 37 0.956478 0.798618 0.830585 19 0.769012 103 0.722513
Venezuela 38 0.947873 0.797512 0.828403 41 0.707418 71 0.783246
Peru 39 0.919148 0.793819 0.820991 40 0.707503 77 0.775916
Philippines 40 0.903067 0.791751 0.816755 12 0.797451 114 0.684817
Denmark 41 0.901097 0.791498 0.816232 108 0.578467 15 0.943455
Egypt 42 0.886463 0.789617 0.812316 16 0.783571 112 0.693194
Algeria 43 0.882823 0.789149 0.811334 34 0.726661 93 0.746597
Hungary 44 0.879026 0.788661 0.810306 84 0.622706 37 0.870157
Ireland 45 0.870209 0.787527 0.807907 116 0.563299 7 0.959162
New_Zealand 46 0.865773 0.786957 0.806693 119 0.560648 6 0.962304
Singapore 47 0.859741 0.786181 0.805034 112 0.574548 18 0.937173
Finland 48 0.857232 0.785859 0.804342 110 0.576007 21 0.934031
Portugal 49 0.844732 0.784252 0.80087 78 0.627083 43 0.85445
United_Arab_Emirates 50 0.801829 0.778736 0.788674 89 0.616781 41 0.856545
Kazakhstan 51 0.773916 0.775147 0.78051 60 0.662981 69 0.789529
Cuba 52 0.733554 0.769959 0.76839 75 0.63233 59 0.816754
Belarus 53 0.718818 0.768064 0.763874 87 0.618907 50 0.830366
Vietnam 54 0.701614 0.765852 0.75854 14 0.790877 127 0.646073
Sri_Lanka 55 0.68045 0.763131 0.75189 56 0.677636 92 0.748691
Slovakia 56 0.676088 0.762571 0.750508 111 0.57595 35 0.879581
Ecuador 57 0.624997 0.756002 0.734014 64 0.656768 89 0.758115
South_Africa 58 0.596223 0.752303 0.724487 25 0.748582 121 0.658639
Bulgaria 59 0.581102 0.750359 0.719414 95 0.599012 57 0.818848
Uzbekistan 60 0.54313 0.745478 0.70648 43 0.706961 114 0.684817
Serbia 61 0.528258 0.743566 0.70134 96 0.598158 64 0.805236
Azerbaijan 62 0.48594 0.738125 0.686495 88 0.617544 82 0.768586
Libya 63 0.468455 0.735877 0.680271 104 0.585853 64 0.805236
Croatia 64 0.458532 0.734601 0.676715 122 0.557714 47 0.842932
Tunisia 65 0.450959 0.733628 0.67399 77 0.628891 94 0.74555
Slovenia 66 0.449366 0.733423 0.673416 139 0.501705 21 0.934031
Syria 67 0.426486 0.730482 0.665123 51 0.68509 116 0.678534
Dominican_Rep 68 0.39425 0.726337 0.653302 81 0.625236 96 0.735079
Costa_Rica 69 0.389439 0.725719 0.651524 115 0.566841 62 0.809424
Pakistan 70 0.369517 0.723158 0.644129 6 0.844817 146 0.539267
Lithuania 71 0.361024 0.722066 0.640959 133 0.530279 41 0.856545
Bangladesh 72 0.331843 0.718314 0.629996 8 0.833538 146 0.539267
Panama 73 0.324259 0.717339 0.627129 126 0.548856 59 0.816754
Uruguay 74 0.322288 0.717086 0.626383 129 0.540158 51 0.829319
Kuwait 75 0.297955 0.713958 0.617131 131 0.536811 54 0.827225
Bolivia 76 0.291729 0.713157 0.614753 80 0.62686 108 0.706806
Morocco 77 0.283107 0.712049 0.611453 39 0.713733 130 0.618848
Iraq 78 0.278941 0.711513 0.609855 38 0.713868 131 0.617801
Georgia 79 0.262542 0.709405 0.603548 118 0.562 72 0.780105
Qatar 80 0.259206 0.708976 0.602262 141 0.501419 36 0.873298
Lebanon 81 0.255201 0.708461 0.600716 120 0.560505 72 0.780105
Jordan 82 0.214997 0.703292 0.585115 102 0.587865 100 0.732984
Congo 83 0.204869 0.70199 0.581163 20 0.767759 142 0.559162
Latvia 84 0.187551 0.699764 0.574386 142 0.500475 44 0.852356
Bosnia_Herzegovina 85 0.164053 0.696743 0.565155 125 0.549493 81 0.769634
Albania 86 0.141246 0.693811 0.556162 132 0.534693 70 0.784293
Turkmenistan 87 0.135333 0.693051 0.553826 113 0.572504 102 0.73089
El_Salvador 88 0.135129 0.693025 0.553745 103 0.587614 107 0.712042
Estonia 89 0.114488 0.690371 0.545575 147 0.468704 33 0.885864
Paraguay 90 0.112309 0.690091 0.544711 99 0.59223 111 0.700524
Nigeria 91 0.109322 0.689707 0.543526 7 0.840257 153 0.493194
Oman 92 0.0939456 0.68773 0.537424 130 0.538298 84 0.765445
Ghana 93 0.0538067 0.68257 0.521455 47 0.694646 135 0.584293
Cyprus 94 0.0450048 0.681438 0.517948 153 0.455576 31 0.887958
Armenia 95 0.0445635 0.681381 0.517772 134 0.529855 87 0.763351
Honduras 96 0.0193617 0.678141 0.507724 93 0.605379 120 0.66178
Kenya 97 0.0133515 0.677369 0.505326 31 0.735507 145 0.543455
Jamaica 98 0.0132766 0.677359 0.505296 136 0.5229 85 0.764398
Guatemala 99 0.00408419 0.676177 0.501629 65 0.65471 133 0.608377
Tajikistan 100 -0.019491 0.673146 0.492225 91 0.606084 125 0.651309
Myanmar 101 -0.0404174 0.670456 0.48388 24 0.750958 149 0.521466
Macedonia_FYR 102 -0.05033 0.669182 0.47993 138 0.503455 78 0.774869
Bahrain 103 -0.0535509 0.668768 0.478646 149 0.467457 48 0.833508
WestBankGaza 104 -0.0616161 0.667731 0.475434 124 0.553646 110 0.701571
Kyrgyzstan 105 -0.140683 0.657566 0.44406 109 0.578352 125 0.651309
Moldova 106 -0.14662 0.656803 0.441716 128 0.543788 113 0.691099
Trinidad_Tobago 107 -0.166378 0.654263 0.43393 148 0.468592 67 0.795812
Cambodia 108 -0.175173 0.653132 0.430472 66 0.653591 138 0.568586
Mongolia 109 -0.177702 0.652807 0.429479 135 0.525254 108 0.706806
Tanzania 110 -0.183001 0.652126 0.427399 27 0.743292 152 0.498429
Nicaragua 111 -0.212589 0.648322 0.415824 106 0.583792 129 0.627225
Luxembourg 112 -0.224933 0.646735 0.411016 163 0.397693 26 0.91623
Angola 113 -0.245272 0.64412 0.403123 55 0.679475 148 0.531937
Mauritius 114 -0.258369 0.642436 0.398061 150 0.465904 80 0.771728
Cameroon 115 -0.298246 0.63731 0.382758 53 0.682652 150 0.518325
Madagascar 116 -0.351264 0.630493 0.362695 52 0.684728 151 0.505759
Gabon 117 -0.352847 0.63029 0.362102 146 0.483909 106 0.715183
Uganda 118 -0.361405 0.62919 0.358898 36 0.722275 161 0.477487
Iceland 119 -0.393627 0.625047 0.346928 170 0.358758 13 0.948691
Nepal 120 -0.397923 0.624495 0.345343 46 0.700779 157 0.484817
Montenegro 121 -0.401022 0.624097 0.344202 160 0.409667 52 0.828272
Brunei_Darussalam 122 -0.406277 0.623421 0.34227 166 0.378182 30 0.895288
Lao_PDR 123 -0.421482 0.621466 0.336702 100 0.591751 138 0.568586
Malta 124 -0.421789 0.621427 0.33659 165 0.379315 32 0.886911
Botswana 125 -0.45576 0.617059 0.324281 143 0.499653 119 0.663874
Yemen 126 -0.461805 0.616282 0.322111 49 0.689919 160 0.479581
Ethiopia 127 -0.475477 0.614525 0.317223 13 0.793391 173 0.41466
Namibia 128 -0.512049 0.609823 0.304308 137 0.508871 128 0.636649
Fiji 129 -0.537714 0.606523 0.295387 154 0.435975 96 0.735079
Senegal 130 -0.551177 0.604792 0.290756 69 0.647469 154 0.492147
Sudan 131 -0.586509 0.60025 0.278767 35 0.724049 171 0.433508
Bahamas 132 -0.631517 0.594464 0.263851 167 0.370284 49 0.831414
Cote_dIvoire 133 -0.647849 0.592364 0.258541 57 0.675769 168 0.452356
Zambia 134 -0.655761 0.591347 0.255989 68 0.649398 163 0.46911
Barbados 135 -0.677314 0.588576 0.249103 171 0.349346 38 0.863874
Haiti 136 -0.704839 0.585038 0.240455 82 0.624463 161 0.477487
Papua_New_Guinea 137 -0.755431 0.578533 0.224995 97 0.597551 156 0.487958
Malawi 138 -0.780409 0.575322 0.217575 63 0.658795 170 0.437696
Rwanda 139 -0.783633 0.574908 0.216628 72 0.633593 167 0.45445
Guyana 140 -0.802755 0.572449 0.211058 156 0.428668 118 0.665969
Suriname 141 -0.805247 0.572129 0.210339 162 0.39814 105 0.71623
Benin 142 -0.809086 0.571636 0.209233 83 0.623528 166 0.456545
Togo 143 -0.811211 0.571362 0.208622 101 0.591718 159 0.480628
Timor_Leste 144 -0.861502 0.564897 0.194481 152 0.460914 134 0.603141
Afghanistan 145 -0.870093 0.563792 0.192125 42 0.707084 175 0.391623
Zimbabwe 146 -0.931953 0.55584 0.17568 70 0.647459 172 0.415707
Mauritania 147 -0.938548 0.554992 0.173981 127 0.548732 155 0.489005
Belize 148 -0.970276 0.550913 0.165954 169 0.359693 96 0.735079
Maldives 149 -0.993595 0.547915 0.16021 168 0.363029 104 0.720419
Swaziland 150 -1.01082 0.545701 0.156052 151 0.46222 141 0.561257
Equatorial_Guinea 151 -1.12854 0.530566 0.129545 158 0.42274 136 0.580105
Lesotho 152 -1.15529 0.527128 0.123986 140 0.501458 158 0.482723
Cape_Verde 153 -1.16751 0.525556 0.121502 164 0.392143 132 0.613613
St._Lucia 154 -1.18084 0.523842 0.118833 175 0.314896 88 0.759162
Bhutan 155 -1.18581 0.523203 0.117848 157 0.423314 140 0.563351
Mozambique 156 -1.19257 0.522335 0.116519 48 0.694151 185 0.342408
Burkina_Faso 157 -1.19364 0.522197 0.11631 62 0.661423 183 0.359162
Guinea 158 -1.2112 0.519939 0.112909 73 0.63355 178 0.371728
Mali 159 -1.21205 0.51983 0.112746 67 0.653533 182 0.360209
Samoa 160 -1.22483 0.518187 0.110319 173 0.318229 96 0.735079
Burundi 161 -1.24832 0.515168 0.105958 85 0.621975 178 0.371728
Chad 162 -1.27759 0.511405 0.100697 71 0.639962 184 0.356021
Liberia 163 -1.29347 0.509363 0.0979247 123 0.556323 174 0.406283
Gambia 164 -1.29613 0.509021 0.0974661 144 0.491034 165 0.459686
Vanuatu 165 -1.3275 0.504988 0.0921715 172 0.338915 124 0.655497
Solomon_Islands 166 -1.32765 0.504969 0.0921474 161 0.400274 143 0.554974
Andorra 167 -1.32861 0.504845 0.0919877 183 0.250639 33 0.885864
Grenada 168 -1.34222 0.503096 0.0897625 177 0.273473 63 0.806283
Sierra_Leone 169 -1.35201 0.501836 0.0881857 107 0.583625 177 0.375916
Seychelles 170 -1.35643 0.501269 0.0874813 182 0.259364 46 0.843979
Eritrea 171 -1.38937 0.497034 0.0823601 105 0.585556 181 0.367539
St._Vincent_Grenadines 172 -1.41803 0.49335 0.0780916 176 0.276255 83 0.767539
Niger 173 -1.42233 0.492797 0.0774655 59 0.664608 186 0.318325
Antigua_Barbuda 174 -1.46119 0.4878 0.071981 181 0.26048 67 0.795812
Central_ African_Rep 175 -1.46177 0.487725 0.0719015 117 0.562228 180 0.368586
Tonga 176 -1.5005 0.482747 0.0667429 178 0.273077 95 0.743455
Djibouti 177 -1.50506 0.482161 0.0661548 155 0.434639 164 0.465969
Dominica 178 -1.6211 0.467242 0.0524978 184 0.243799 72 0.780105
Comoros 179 -1.63239 0.46579 0.0512982 159 0.420753 169 0.449215
Guinea_Bissau 180 -1.67108 0.460816 0.0473525 145 0.485354 176 0.381152
Micronesia 181 -1.68399 0.459158 0.0460923 179 0.271937 117 0.675393
Congo_DR 182 -1.74016 0.451936 0.0409156 121 0.558965 186 0.318325
Kiribati 183 -1.74132 0.451787 0.0408141 180 0.269974 121 0.658639
Liechtenstein 184 -1.74166 0.451743 0.0407841 186 0.192277 24 0.924607
Sao_Tome_Principe 185 -1.77158 0.447896 0.0382318 174 0.317906 144 0.549738
St._Kitts_Nevis 186 -1.79174 0.445305 0.0365872 185 0.221443 72 0.780105
Palau 187 -2.33199 0.37585 0.00985066 187 0.148579 52 0.828272

Legend:

  • NPIRANK: Ranking of National Power in 2012 (by NPI2012 index)
  • NPIZ: NPI transformed into standardized scores (z-scores)
  • NPIS: NPI normed against the strongest nation =1
  • NPIWINP: Winning probability against a nation with z=0
  • RPIRNK: Rank of population (2012)== rank of RPI
  • RPIS: Population size transformed (log) and normed
  • HDIRNK: Ranking of Human Development in 2012 = Ranking of HDQ
  • HDQ: Human Development Quotient — Normed values of HDI index

 

The second display of power hierarchy is also arranged by the order of the power index, from the strongest to the weakest. Given the limits of a display, it is hard to compare the relative power difference between adjacent nations (as in the power-ladder), but it is easier to see the relative ranking of nations. The height of each bar represents the unnormed index value–the geometric mean of the two component sub-indices–one based on population size (RPI sub-index) and the other human development index (HDQ sub-index). For a brief instroduction to these components, see Decomposition page, and for a full exposition, see Jae-On Kim, Sanghag Kim, and Jin Wang, “Index of National Power: How to Assess the Basic National Capacity of a Nation,” Korean Journal of Sociology, 2013, Vol. 47(6):83-140.

Above the red-dot is an empty circle, which shows the maximum possible power-position that a nation can obtain by achieving the highest human development currently available. The difference between these two points indicates the growth potential of power for a given nation.

By moving the pointer over a dot, you will see the necessary information about the relative power position of a nation and information about the relative growth potential. Countries with large populations and low human development levels have the highest growth potential. Most Western nations with high human development levels have reached their full potential. The following table shows nations by their growth potential. Note that nations with the highest growth potentials are the nations at the bottom of human development with relatively a high or moderate population size.

In the following, a third display arranges nations in the order of the population index, or simply put, the mazimum possible power a nation can obtain.

For a fuller illustration of the role of population size and human development level on the overall value of national power, see Decomposition.

The following table shows the growth-potential and growth-potential rank, along with some relevant other information.

Nation GPRank GrowthP MaxPRnk MaxPot HDIRank HDQsqrt NPIRank NPIm
Niger 1 0.355 59 0.815 186 0.564 173 0.460
Mozambique 2 0.346 48 0.833 185 0.585 156 0.488
Burkina_Faso 3 0.326 62 0.813 183 0.599 157 0.487
Congo_DR 4 0.326 121 0.748 186 0.564 182 0.422
Mali 5 0.323 67 0.808 182 0.600 159 0.485
Chad 6 0.323 71 0.800 184 0.597 162 0.477
Ethiopia 7 0.317 13 0.891 173 0.644 127 0.574
Afghanistan 8 0.315 42 0.841 175 0.626 145 0.526
Guinea 9 0.311 73 0.796 178 0.610 158 0.485
Burundi 10 0.308 85 0.789 178 0.610 161 0.481
Eritrea 11 0.301 105 0.765 181 0.606 171 0.464
Sierra_Leone 12 0.296 107 0.764 177 0.613 169 0.468
Central_ African_Rep 13 0.295 117 0.750 180 0.607 175 0.455
Sudan 14 0.291 35 0.851 171 0.658 131 0.560
Zimbabwe 15 0.286 70 0.805 172 0.645 146 0.519
Malawi 16 0.275 63 0.812 170 0.662 138 0.537
Nigeria 17 0.273 7 0.917 153 0.702 91 0.644
Liberia 18 0.270 123 0.746 174 0.637 163 0.475
Cote_dIvoire 19 0.269 57 0.822 168 0.673 133 0.553
Guinea_Bissau 20 0.267 145 0.697 176 0.617 180 0.430
Uganda 21 0.263 36 0.850 161 0.691 118 0.587
Rwanda 22 0.259 72 0.796 167 0.674 139 0.537
Benin 23 0.256 83 0.790 166 0.676 142 0.534
Yemen 24 0.255 49 0.831 160 0.693 126 0.575
Nepal 25 0.254 46 0.837 157 0.696 120 0.583
Zambia 26 0.254 68 0.806 163 0.685 134 0.552
Tanzania 27 0.253 27 0.862 152 0.706 110 0.609
Haiti 28 0.244 82 0.790 161 0.691 136 0.546
Pakistan 29 0.244 6 0.919 146 0.734 70 0.675
Bangladesh 30 0.243 8 0.913 146 0.734 72 0.670
Myanmar 31 0.241 24 0.867 149 0.722 101 0.626
Senegal 32 0.240 69 0.805 154 0.702 130 0.564
Madagascar 33 0.239 52 0.827 151 0.711 116 0.588
India 34 0.238 2 0.997 136 0.762 23 0.759
Togo 35 0.236 101 0.769 159 0.693 143 0.533
Papua_New_Guinea 36 0.233 97 0.773 156 0.699 137 0.540
Cameroon 37 0.231 53 0.826 150 0.720 115 0.595
Gambia 38 0.226 144 0.701 165 0.678 164 0.475
Kenya 39 0.225 31 0.858 145 0.737 97 0.632
Angola 40 0.223 55 0.824 148 0.729 113 0.601
Mauritania 41 0.223 127 0.741 155 0.699 147 0.518
Congo 42 0.221 20 0.876 142 0.748 83 0.655
Lesotho 43 0.216 140 0.708 158 0.695 152 0.492
Comoros 44 0.214 159 0.649 169 0.670 179 0.435
Djibouti 45 0.209 155 0.659 164 0.683 177 0.450
Cambodia 46 0.199 66 0.808 138 0.754 108 0.610
Ghana 47 0.196 47 0.833 135 0.764 93 0.637
Lao_PDR 48 0.189 100 0.769 138 0.754 123 0.580
Iraq 49 0.181 38 0.845 131 0.786 78 0.664
Morocco 50 0.180 39 0.845 130 0.787 77 0.665
Guatemala 51 0.178 65 0.809 133 0.780 99 0.631
Indonesia 52 0.176 4 0.932 121 0.812 27 0.757
Vietnam 53 0.174 14 0.889 127 0.804 54 0.715
Swaziland 54 0.171 151 0.680 141 0.749 150 0.509
South_Africa 55 0.163 25 0.865 121 0.812 58 0.702
Bhutan 56 0.162 157 0.651 140 0.751 155 0.488
Solomon_Islands 57 0.161 161 0.633 143 0.745 166 0.471
Nicaragua 58 0.159 106 0.764 129 0.792 111 0.605
Equatorial_Guinea 59 0.155 158 0.650 136 0.762 151 0.495
Philippines 60 0.154 12 0.893 114 0.828 40 0.739
Timor_Leste 61 0.152 152 0.679 134 0.777 144 0.527
Tajikistan 62 0.150 91 0.779 125 0.807 100 0.628
Egypt 63 0.148 16 0.885 112 0.833 42 0.737
Kyrgyzstan 64 0.147 109 0.760 125 0.807 105 0.614
Syria 65 0.146 51 0.828 116 0.824 67 0.682
Sao_Tome_Principe 66 0.146 174 0.564 144 0.741 185 0.418
Honduras 67 0.145 93 0.778 120 0.813 96 0.633
Uzbekistan 68 0.145 43 0.841 114 0.828 60 0.696
China 69 0.144 1 1.000 101 0.856 4 0.856
Namibia 70 0.144 137 0.713 128 0.798 128 0.569
Cape_Verde 71 0.136 164 0.626 132 0.783 153 0.491
Thailand 72 0.132 19 0.877 103 0.850 37 0.745
Botswana 73 0.131 143 0.707 119 0.815 125 0.576
Bolivia 74 0.126 80 0.792 108 0.841 76 0.666
Paraguay 75 0.125 99 0.770 111 0.837 90 0.644
Moldova 76 0.124 128 0.737 113 0.831 106 0.613
WestBankGaza 77 0.121 124 0.744 110 0.838 104 0.623
Guyana 78 0.120 156 0.655 118 0.816 140 0.534
El_Salvador 79 0.120 103 0.767 107 0.844 88 0.647
Brazil 80 0.116 5 0.923 85 0.874 14 0.807
Algeria 81 0.116 34 0.852 93 0.864 43 0.737
Mongolia 82 0.115 135 0.725 108 0.841 109 0.609
Turkey 83 0.115 18 0.881 90 0.869 21 0.766
Colombia 84 0.114 28 0.862 91 0.868 36 0.748
Dominican_Rep 85 0.113 81 0.791 96 0.857 68 0.678
Sri_Lanka 86 0.111 56 0.823 92 0.865 55 0.712
Vanuatu 87 0.111 172 0.582 124 0.810 165 0.471
Jordan 88 0.110 102 0.767 100 0.856 82 0.656
Turkmenistan 89 0.110 113 0.757 102 0.855 87 0.647
Tunisia 90 0.108 77 0.793 94 0.863 65 0.685
Gabon 91 0.107 146 0.696 106 0.846 117 0.588
Ecuador 92 0.105 64 0.810 89 0.871 57 0.706
Iran 93 0.105 17 0.883 76 0.881 18 0.778
Ukraine 94 0.103 30 0.860 78 0.880 25 0.757
Peru 95 0.100 40 0.841 77 0.881 39 0.741
Kiribati 96 0.098 180 0.520 121 0.812 183 0.422
Suriname 97 0.097 162 0.631 105 0.846 141 0.534
Azerbaijan 98 0.097 88 0.786 82 0.877 62 0.689
Venezuela 99 0.097 41 0.841 71 0.885 38 0.744
Fiji 100 0.094 154 0.660 96 0.857 129 0.566
Micronesia 101 0.093 179 0.521 117 0.822 181 0.429
Armenia 102 0.092 134 0.728 87 0.874 95 0.636
Oman 103 0.092 130 0.734 84 0.875 92 0.642
Maldives 104 0.091 168 0.603 104 0.849 149 0.511
Bosnia_Herzegovina 105 0.091 125 0.741 81 0.877 85 0.650
Jamaica 106 0.091 136 0.723 85 0.874 98 0.632
Kazakhstan 107 0.091 60 0.814 69 0.889 51 0.723
Mexico 108 0.089 11 0.903 61 0.901 13 0.813
Georgia 109 0.088 118 0.750 72 0.883 79 0.662
Lebanon 110 0.087 120 0.749 72 0.883 81 0.661
Malaysia 111 0.086 44 0.840 64 0.897 33 0.754
Belize 112 0.086 169 0.600 96 0.857 148 0.514
Macedonia_FYR 113 0.085 138 0.710 78 0.880 102 0.625
Albania 114 0.084 132 0.731 70 0.886 86 0.648
Russia 115 0.083 9 0.910 55 0.908 11 0.826
Mauritius 116 0.083 150 0.683 80 0.878 114 0.600
Samoa 117 0.080 173 0.564 96 0.857 160 0.484
Saudi_Arabia 118 0.080 45 0.838 57 0.905 24 0.759
Serbia 119 0.079 96 0.773 64 0.897 61 0.694
Libya 120 0.079 104 0.765 64 0.897 63 0.687
Romania 121 0.077 54 0.825 56 0.907 35 0.749
Cuba 122 0.077 75 0.795 59 0.904 52 0.719
Costa_Rica 123 0.076 115 0.753 62 0.900 69 0.677
Trinidad_Tobago 124 0.074 148 0.685 67 0.892 107 0.611
Bulgaria 125 0.074 95 0.774 57 0.905 59 0.700
St._Lucia 126 0.072 175 0.561 88 0.871 154 0.489
Tonga 127 0.072 178 0.523 95 0.862 176 0.451
Panama 128 0.071 126 0.741 59 0.904 73 0.670
Belarus 129 0.070 87 0.787 50 0.911 53 0.717
Argentina 130 0.067 32 0.855 45 0.922 17 0.788
Kuwait 131 0.066 131 0.733 54 0.910 75 0.666
Uruguay 132 0.066 129 0.735 51 0.911 74 0.669
St._Vincent_Grenadines 133 0.065 176 0.526 83 0.876 172 0.460
Poland 134 0.062 33 0.853 39 0.927 16 0.790
Croatia 135 0.061 122 0.747 47 0.918 64 0.686
Chile 136 0.060 58 0.816 40 0.926 29 0.756
Portugal 137 0.060 78 0.792 43 0.924 49 0.732
Bahrain 138 0.060 149 0.684 48 0.913 103 0.624
United_Arab_Emirates 139 0.059 89 0.785 41 0.925 50 0.727
Dominica 140 0.058 184 0.494 72 0.883 178 0.436
Montenegro 141 0.058 160 0.640 52 0.910 121 0.583
Antigua_Barbuda 142 0.055 181 0.510 67 0.892 174 0.455
St._Kitts_Nevis 143 0.055 185 0.471 72 0.883 186 0.416
Latvia 144 0.054 142 0.707 44 0.923 84 0.653
Lithuania 145 0.054 133 0.728 41 0.925 71 0.674
Bahamas 146 0.054 167 0.609 49 0.912 132 0.555
Grenada 147 0.053 177 0.523 63 0.898 168 0.470
Hungary 148 0.053 84 0.789 37 0.933 44 0.736
Slovakia 149 0.047 111 0.759 35 0.938 56 0.712
Qatar 150 0.046 141 0.708 36 0.935 80 0.662
Barbados 151 0.042 171 0.591 38 0.929 135 0.549
Seychelles 152 0.041 182 0.509 46 0.919 170 0.468
Greece 153 0.041 74 0.795 29 0.949 32 0.755
Estonia 154 0.040 147 0.685 33 0.941 89 0.644
Cyprus 155 0.039 153 0.675 31 0.942 94 0.636
United_Kingdom 156 0.037 22 0.875 26 0.957 8 0.837
Malta 157 0.036 165 0.616 32 0.942 124 0.580
Czech 158 0.035 79 0.792 28 0.956 26 0.757
Palau 159 0.035 187 0.385 52 0.910 187 0.351
Italy 160 0.035 23 0.873 25 0.960 7 0.838
Brunei_Darussalam 161 0.033 166 0.615 30 0.946 122 0.582
Spain 162 0.032 29 0.861 23 0.963 9 0.829
Andorra 163 0.029 183 0.501 33 0.941 167 0.471
France 164 0.029 21 0.876 20 0.967 5 0.847
Luxembourg 165 0.027 163 0.631 26 0.957 112 0.604
Finland 166 0.025 110 0.759 21 0.966 48 0.733
Austria 167 0.025 90 0.781 18 0.968 28 0.756
Belgium 168 0.025 76 0.795 17 0.969 20 0.770
Singapore 169 0.024 112 0.758 18 0.968 47 0.734
Slovenia 170 0.024 139 0.708 21 0.966 66 0.685
Israel 171 0.023 94 0.778 16 0.971 30 0.755
Denmark 172 0.022 108 0.761 15 0.971 41 0.739
Korea_Rep 173 0.021 26 0.864 12 0.976 6 0.843
Japan 174 0.021 10 0.905 10 0.977 2 0.884
Hong_Kong 175 0.020 98 0.773 13 0.974 34 0.753
Canada 176 0.020 37 0.848 11 0.977 10 0.828
Switzerland 177 0.017 92 0.778 9 0.978 22 0.761
Liechtenstein 178 0.017 186 0.438 24 0.962 184 0.422
Germany 179 0.016 15 0.886 5 0.982 3 0.869
Sweden 180 0.016 86 0.787 7 0.979 19 0.771
Iceland 181 0.016 170 0.599 13 0.974 119 0.583
Ireland 182 0.015 116 0.751 7 0.979 45 0.735
Netherlands 183 0.015 61 0.814 4 0.982 15 0.800
New_Zealand 184 0.014 119 0.749 6 0.981 46 0.735
United_States 185 0.009 3 0.942 3 0.991 1 0.933
Australia 186 0.007 50 0.828 2 0.991 12 0.821
Norway 187 0.000 114 0.755 1 1.000 31 0.755

Legends:

  • GPRANK: Growth Potential Ranking (2012)
  • GROWTHP: Growth potential values–possible increases in normed score
  • MAXPRNK: Ranking by Maximum Possible Power
  • MAXP: Maximum Possible Power, given by the square-root of RPI (normed population index)
  • HDQRNK: Ranking of HDI in 2012. (This is identical to the ranking of HDQ–though the range is different, the rank order is the same.)
  • HDQSQRT: Square-root of HDQ, where HDQ is the normed value of HDI
  • NPIRANK: Ranking of National Power in 2012 (by NPI2012 index) = Ranking of NPIM
  • NPIM: NPI transformed into standardized scores (z-scores)–given by MAXP*HDQSQRT