Composite Index of National Capability
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The Composite Index of National Capability (CINC) is a statistical measure of national power created by J. David Singer for the Correlates of War project in 1963. It uses an average of percentages of world totals in six different components. The components represent demographic, economic, and military strength.[1] More recent studies tend to use the (CINC) score, which “focuses on measures that are more salient to the perception of true state power” beyond GDP.[2] It is still “among the best-known and most accepted methods for measuring national capabilities.” The CINC only measures hard powers and may not represent total national power.
Methodology
[edit]Each component is a dimensionless percentage of the world's total.
RATIO=
CINC =
Where
TPR = total population of country ratio
UPR = urban population of country ratio
ISPR = iron and steel production of country ratio
ECR = primary energy consumption ratio
MER = military expenditure ratio
MPR = military personnel ratio
List of countries by CINC
[edit]Countries listed by and CINC, data is from 2007.
| Number | Country | CINC |
|---|---|---|
| 1 |  China |
.198566 |
| 2 |  United States |
.142149 |
| 3 |  India |
.073444 |
| 4 |  Japan |
.042675 |
| 5 |  Russia |
.039274 |
| 6 |  Brazil |
.024545 |
| 7 |  Germany |
.024082 |
| 8 |  South Korea |
.023878 |
| 9 |  United Kingdom |
.021158 |
| 10 |  France |
.018924 |
| 11 |  Italy |
.017420 |
| 12 |  Turkey |
.014317 |
| 13 |  Pakistan |
.013772 |
| 14 |  Indonesia |
.013708 |
| 15 |  Iran |
.013450 |
| 16 |  North Korea |
.012925 |
| 17 |  Mexico |
.012269 |
| 18 |  Ukraine |
.011835 |
| 19 |  Spain |
.011389 |
| 20 |  Saudi Arabia |
.010883 |
| 21 |  Canada |
.010683 |
| 22 |  Egypt |
.009713 |
| 23 |  Bangladesh |
.008060 |
| 24 |  Taiwan |
.008010 |
| 25 |  Thailand |
.007973 |
| 26 |  Nigeria |
.007792 |
| 27 |  Australia |
.007612 |
| 28 |  Vietnam |
.007113 |
| 29 |  Poland |
.006939 |
| 30 |  Myanmar |
.006395 |
| 31 |  South Africa |
.006316 |
| 32 |  Colombia |
.006174 |
| 33 |  Philippines |
.005722 |
| 34 |  Netherlands |
.005646 |
| 35 |  Algeria |
.005290 |
| 36 |  Iraq |
.005222 |
| 37 |  Argentina |
.004721 |
| 38 |  Venezuela |
.004559 |
| 39 |  Morocco |
.004471 |
| 40 |  Syria |
.004454 |
| 41 |  Malaysia |
.004403 |
| 42 |  Democratic Republic of the Congo |
.004175 |
| 43 |  Ethiopia |
.003895 |
| 44 |  Belgium |
.003858 |
| 45 |  Greece |
.003813 |
| 46 |  Israel |
.003638 |
| 47 |  Kazakhstan |
.003233 |
| 48 |  Singapore |
.003226 |
| 49 |  Romania |
.003213 |
| 50 |  Sudan |
.003107 |
| 51 |  Chile |
.003076 |
| 52 |  Peru |
.002986 |
| 53 |  United Arab Emirates |
.002980 |
| 54 |  Austria |
.002979 |
| 55 |  Angola |
.002572 |
| 56 |  Sweden |
.002557 |
| 57 |  Belarus |
.002483 |
| 58 |  Czech Republic |
.002353 |
| 59 |  Uzbekistan |
.002256 |
| 60 |  Eritrea |
.002157 |
| 61 |  Finland |
.002144 |
| 62 |  Tanzania |
.002078 |
| 63 |  Sri Lanka |
.001932 |
| 64 |  Portugal |
.001841 |
| 65 |  Kenya |
.001777 |
| 66 |  Libya |
.001763 |
| 67 |  Norway |
.001640 |
| 68 |  Cambodia |
.001608 |
| 69 |  Hungary |
.001556 |
| 70 |  Ecuador |
.001556 |
| 71 |  Yemen |
.001518 |
| 72 |  Denmark |
.001493 |
| 73 |  Jordan |
.001448 |
| 74 |  Nepal |
.001437 |
| 75 |  Afghanistan |
.001433 |
| 76 |  Bulgaria |
.001422 |
| 77 |  Slovakia |
.001420 |
| 78 |  Kuwait |
.001352 |
| 79 |  Cuba |
.001334 |
| 80 |  Uganda |
.001320 |
| 81 |  Azerbaijan |
.001279 |
| 82 |  Oman |
.001217 |
| 83 |  Ivory Coast |
.001173 |
| 84 |  Ghana |
.001109 |
| 85 |  Switzerland |
.001083 |
| 86 |  Bolivia |
.001050 |
| 87 |  Zimbabwe |
.001032 |
| 88 |  Mozambique |
.000994 |
| 89 |  Dominican Republic |
.000974 |
| 90 |  Cameroon |
.000969 |
| 91 |  Serbia |
.000951 |
| 92 |  Qatar |
.000884 |
| 93 |  Lebanon |
.000844 |
| 94 |  Tunisia |
.000822 |
| 95 |  Guatemala |
.000789 |
| 96 |  New Zealand |
.000771 |
| 97 |  Zambia |
.000749 |
| 98 |  Turkmenistan |
.000711 |
| 99 |  Madagascar |
.000697 |
| 100 |  Burkina Faso |
.000659 |
| 101 |  Senegal |
.000645 |
| 102 |  Ireland |
.000635 |
| 103 |  Armenia |
.000614 |
| 104 |  Rwanda |
.000581 |
| 105 |  Croatia |
.000580 |
| 106 |  El Salvador |
.000575 |
| 107 |  Chad |
.000568 |
| 108 |  Burundi |
.000562 |
| 109 |  Haiti |
.000542 |
| 110 |  Somalia |
.000531 |
| 111 |  Malawi |
.000527 |
| 112 |  Mali |
.000516 |
| 113 |  Niger |
.000505 |
| 114 |  Georgia |
.000504 |
| 115 |  Uruguay |
.000474 |
| 116 |  Laos |
.000471 |
| 117 |  Guinea |
.000458 |
| 118 |  Honduras |
.000454 |
| 119 |  Paraguay |
.000450 |
| 120 |  Lithuania |
.000442 |
| 121 |  Luxembourg |
.000428 |
| 122 |  Bosnia and Herzegovina |
.000400 |
| 123 |  Sierra Leone |
.000393 |
| 124 |  Bahrain |
.000390 |
| 125 |  Nicaragua |
.000388 |
| 126 |  Benin |
.000370 |
| 127 |  Congo |
.000361 |
| 128 |  Kyrgyzstan |
.000357 |
| 129 |  Trinidad and Tobago |
.000354 |
| 130 |  Tajikistan |
.000352 |
| 131 |  Slovenia |
.000346 |
| 132 |  Moldova |
.000346 |
| 133 |  Latvia |
.000345 |
| 134 |  Togo |
.000297 |
| 135 |  Mauritania |
.000290 |
| 136 |  Albania |
.000276 |
| 137 |  North Macedonia |
.000270 |
| 138 |  Estonia |
.000253 |
| 139 |  Mongolia |
.000249 |
| 140 |  Costa Rica |
.000240 |
| 141 |  Papua New Guinea |
.000237 |
| 142 |  Liberia |
.000223 |
| 143 |  Central African Republic |
.000206 |
| 144 |  Cyprus |
.000202 |
| 145 |  Panama |
.000196 |
| 146 |  Jamaica |
.000192 |
| 147 |  Botswana |
.000187 |
| 148 |  Namibia |
.000179 |
| 149 |  Gabon |
.000153 |
| 150 |  Brunei |
.000150 |
| 151 |  Djibouti |
.000145 |
| 152 |  Montenegro |
.000133 |
| 153 |  Guinea-Bissau |
.000132 |
| 154 |  Timor-Leste |
.000113 |
| 155 |  Equatorial Guinea |
.000109 |
| 156 |  Lesotho |
.000098 |
| 157 |  Fiji |
.000081 |
| 158 |  Mauritius |
.000062 |
| 159 |  Suriname |
.000058 |
| 160 |  Swaziland |
.000057 |
| 161 |  Gambia |
.000051 |
| 162 |  Guyana |
.000049 |
| 163 |  Bhutan |
.000046 |
| 164 |  Bahamas |
.000044 |
| 165 |  Iceland |
.000043 |
| 166 |  Maldives |
.000035 |
| 167 |  Malta |
.000029 |
| 168 |  Comoros |
.000024 |
| 169 |  Cape Verde |
.000022 |
| 170 |  Belize |
.000021 |
| 171 |  Barbados |
.000020 |
| 172 |  Solomon Islands |
.000013 |
| 173 |  Sao Tome and Principe |
.000006 |
| 174 |  Vanuatu |
.000006 |
| 175 |  Samoa |
.000005 |
| 176 |  Saint Lucia |
.000005 |
| 177 |  Seychelles |
.000004 |
| 178 |  San Marino |
.000003 |
| 179 |  Monaco |
.000003 |
| 180 |  Antigua and Barbuda |
.000003 |
| 181 |  Federated States of Micronesia |
.000003 |
| 182 |  Grenada |
.000003 |
| 183 |  Saint Vincent and the Grenadines |
.000003 |
| 184 |  Tonga |
.000003 |
| 185 |  Andorra |
.000003 |
| 186 |  Kiribati |
.000002 |
| 187 |  Dominica |
.000002 |
| 188 |  Liechtenstein |
.000002 |
| 189 |  Saint Kitts and Nevis |
.000002 |
| 190 |  Marshall Islands |
.000001 |
| 191 |  Palau |
.000001 |
| 192 |  Nauru |
.000000 |
| 193 |  Tuvalu |
.000000 |
See also
[edit]References
[edit]- ^ "Archived copy" (PDF). Archived from the original (PDF) on August 12, 2011. Retrieved December 4, 2009.
{{cite web}}: CS1 maint: archived copy as title (link) - ^ Garrett Heckman. "POWER CAPABILITIES AND SIMILARITY OF INTERESTS: A TEST OF THE POWER TRANSITION THEORY" (PDF). Etd.lsu.edu. Archived from the original (PDF) on 2010-07-18. Retrieved 2016-04-28.
- ^ Author: [[Itemtried at English Wikipedia]], the military Expenditure of World, Credits: Itemtried.
Reference works
[edit]- Singer, Joel David: The Correlates of War. Testing some Realpolitik Models. New York: The Free Press, 1980.