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Geoeconomic Index · quarterly · public

GeoeconomicIndex.

Retrospective 2023Published on 19 October 2026Data through 31 December 2023Scale 0–100 · higher means more riskBack to the index

How much geoeconomic risk each economy carries: exposure to route closures, sanctions, dependence on a few commodities, institutional fragility and stress in its sovereign markets. Transparent, reproducible and falsifiable.

Three findings of the edition

  1. Iraq leads the edition with 59.7 points; Sanctions accounts for 31% of its score.
  2. The biggest riser is Trinidad & Tobago: +4.0 points on the previous edition, driven by chokepoints.
  3. Malacca is the main chokepoint for 69 countries; 23 of them have more than 10% of GDP exposed to its closure.

Geoeconomic risk, country by country

Source: Intelrift, IGEData through 31 December 2023

Hover to see the score. Click to open the country page.

Ranking

Every country, sortable

192 / 197
Sub-indices
1Iraq59.7−1.45575796511
2Iran58.8−0.138100485642
3Libya58.4−0.24564798122
4Lebanon57.4+2.66565236868
5Venezuela56.0−1.81674598264
6South Sudan54.2−2.52659—7969
7Congo - Kinshasa53.9+3.94454588633
8Myanmar (Burma)53.40.04874337832
9Sudan52.8+2.63150369772
10Belarus52.2+0.84987135845
11Afghanistan51.6−1.35778286219
12Syria51.2+0.44478237632
13Ukraine49.9−2.15055336748
14Mali49.7−1.65636547828
15Cuba47.9+0.744722644—
16Russia47.4+0.92090454626
17Yemen46.9−6.03947396948
18Moldova46.8−2.87538294539
19Pakistan46.6−0.24148325268
20Eritrea46.2−0.76111566846
21Somalia45.40.039482610023
22Central African Republic45.2−1.14346358819
23Palestinian Territories44.8+3.5—20327276
24Burkina Faso44.6−0.9628587332
25Nicaragua43.4−2.64052325836
26Angola43.3+1.73611795054
27Haiti43.3+0.42940309241
28Tunisia42.1−1.24939304550
29Chad41.6−1.3419707328
30Türkiye41.3−0.73257183964
31Zimbabwe41.3+1.54420285973
32Panama41.1+0.94531354954
33Turkmenistan41.0+0.33887359—
34Burundi40.6+0.96210335552
35Kyrgyzstan40.2−1.74726336042
36Nigeria40.1+0.22915606252
37Zambia39.9+1.8467515257
38Azerbaijan39.8−1.24217754721
39Kuwait39.80.04022813420
40Guinea-Bissau39.7−0.42535446541
41Equatorial Guinea39.5−2.2237898312
42Djibouti39.3−0.6578307242
43Kazakhstan38.9−1.73128563847
44Jordan38.2−2.26030223443
45Oman38.2−0.14226593134
46Liberia38.0+0.84316475637
47Ethiopia37.9−3.64410396148
48Mongolia37.9−1.0457564545
49Georgia37.8−0.55928233343
50North Macedonia37.6−1.86122284234
51Malaysia37.4−0.14742282439
52Guyana36.8−1.84110625423
53Congo - Brazzaville36.5+0.4318715331
54Maldives36.5−0.64320434139
55Armenia36.4−3.05428184042
56Guinea36.4+0.73128317924
57Uzbekistan36.4+1.13626405134
58Mexico35.9−1.21942326037
59Honduras35.5+0.14021276832
60Laos35.5−0.74014315351
61Malawi35.3+0.6460425052
62Qatar35.30.03819741924
63Singapore35.3−0.8604528122
64El Salvador35.3−1.83912295556
65India35.1−1.03743253236
66Jamaica35.1−0.64612265746
67Bolivia35.00.04411344946
68Paraguay34.9−0.63616445532
69Seychelles34.8+0.46315362431
70Egypt34.6+1.12328234075
71Mauritania34.5−0.65212374927
72Mozambique34.4−1.5309445352
73Morocco34.3−1.44719284933
74Bulgaria34.2−2.15133153929
75Sri Lanka34.0−3.34013284358
76China33.9−0.32158293324
77Guatemala33.9−1.13128296127
78Lesotho33.9+0.8510376229
79United Arab Emirates33.6−1.43450321626
80Gambia33.6−2.73322345234
81Gabon33.5−0.3300527232
82Niger33.5−1.53817295836
83Suriname33.4+0.9248504658
84Bahrain33.3+0.73819333846
85Algeria33.2−0.92018784015
86Argentina33.1−0.61524274576
87Dominican Republic33.1−2.44017304737
88Saudi Arabia33.1−0.82631562822
89Bosnia & Herzegovina33.0−1.03133265029
90Cambodia32.9−0.64020364724
91Uganda32.8−3.34421154644
92Trinidad & Tobago32.7+4.0379455923
93Vietnam32.7−0.73522344434
94Bangladesh32.6−0.13013404549
95Cyprus32.6−0.54340222425
96South Africa32.6−0.81936205445
97Colombia32.5−2.51627355543
98Kenya32.4−0.13124234251
99Comoros32.40.0277457822
100Israel32.2+2.61534424731
101Senegal31.9−0.24812222956
102Thailand31.7−1.23633273426
103Ecuador31.4+1.02618305245
104Sierra Leone31.3+1.12710335053
105Belize31.1−1.02115475630
106Serbia31.1−1.8393774229
107Philippines31.0−1.02627334232
108Tajikistan31.0−1.94316285021
109Hungary30.8−3.03914342943
110Brunei30.7−1.5420771518
111Papua New Guinea30.7−1.6250585235
112Belgium30.6−2.94634251127
113Slovakia30.6−3.13918382732
114Brazil30.4−1.01524315245
115Ghana30.3−0.8327313461
116Mauritius30.3−0.3486312349
117Romania30.1−2.13617323336
118São Tomé & Príncipe30.1−0.4320544333
119Greece30.0−3.24128153034
120Rwanda30.0+0.74418172945
121Cameroon29.7−1.2306346330
122Italy29.7−2.33229312433
123Namibia29.6+1.33712204050
124Kosovo29.3−3.7—22—4427
125Cape Verde29.2−2.4344522734
126Netherlands29.1−2.1503720418
127Chile29.0−2.93215382539
128Malta29.0−2.73728382014
129Costa Rica28.7−1.32919333236
130Madagascar28.7−0.3404226227
131Montenegro28.6−3.72717243551
132Eswatini28.5+0.1340306529
133Albania28.3+0.22919284230
134United Kingdom28.2−1.41948211137
135Slovenia28.2−2.05110371720
136Germany28.1−1.5244533623
137Timor-Leste28.1+0.7190674522
138France28.0−2.12039321532
139Indonesia28.0−0.81934253134
140South Korea27.9−1.73821321234
141Spain27.4−2.42734222131
142Nepal27.3−1.0470254426
143United States27.10.0544252245
144Côte d’Ivoire27.0−0.4279274739
145Peru26.8−0.12119344127
146Dominica26.7+0.11711354044
147Bhutan26.6+0.6460361636
148Tanzania26.5−1.22412314235
149Fiji26.1−0.3363312840
150Czechia25.9−2.13315381328
151Benin25.8−1.32910313532
152Japan25.8−2.0312733329
153Poland25.8−1.52518332235
154Botswana25.4−1.4400403120
155Palau25.3−0.2239372937
156Canada25.0−0.744126750
157Togo24.7−1.3264265426
158Solomon Islands24.5+0.1230464520
159Ireland24.2−2.1272439420
160Austria23.6−2.0232830725
161Bahamas23.6−2.0229214040
162Lithuania23.3−4.63814211526
163Latvia23.3−3.92622192030
164St Kitts & Nevis23.0+0.8214404429
165St Vincent & the Grenadines23.0−1.9116374334
166Croatia22.9−3.13210242724
167Portugal22.9−2.13012291828
168Sweden22.9−1.5163225436
169Grenada22.7−1.1290283431
170Antigua & Barbuda22.4−0.2154393136
171Norway22.4−1.6112151226
172Micronesia22.0+0.1290442416
173Switzerland21.8−0.7224018216
174Barbados21.5−1.2206242147
175Australia21.3−0.991736349
176Finland20.9−1.8173518325
177Vanuatu20.9+0.5148353721
178Estonia20.7−4.3182920727
179New Zealand20.4−0.6161329150
180Kiribati20.0+0.1160433219
181Luxembourg20.0−1.5252426215
182Uruguay20.0−1.1246301827
183St Lucia19.4−0.5103274528
184Samoa17.7−1.2183322119
185Denmark17.4−1.9171330323
186Tonga17.0−2.8120343117
187Iceland14.6−1.117319337
188Andorra14.4−2.8—043106
189Marshall Islands13.2−1.47202348
190Tuvalu12.6−1.7120—3710
191Nauru12.4−0.230233512
192San Marino6.8−1.8—3—138
—North Koreainsufficient data——75—80—
—Liechtensteininsufficient data——17—4—
—Monacoinsufficient data——6—7—
—Taiwaninsufficient data——32———
—Vatican Cityinsufficient data——0———

Movers

Biggest risers

  1. Trinidad & Tobago32.7+4.0
  2. Congo - Kinshasa53.9+3.9
  3. Palestinian Territories44.8+3.5
  4. Lebanon57.4+2.6
  5. Sudan52.8+2.6

Biggest fallers

  1. Yemen46.9−6.0
  2. Lithuania23.3−4.6
  3. Estonia20.7−4.3
  4. Latvia23.3−3.9
  5. Kosovo29.3−3.7

Change in points against the previous published edition. (Edition 2022 · 2022)

Sub-indices

The ten most exposed countries in each sub-index

Chokepoints concentrate the risk of small, open economies

Source: Intelrift, IGE · ChokepointsData through 31 December 2023

Sanctions weigh on jurisdictions under a regime and on their partners

Source: Intelrift, IGE · SanctionsData through 31 December 2023

Commodity concentration punishes single-product exporters

Source: Intelrift, IGE · Commodity concentrationData through 31 December 2023

Institutional fragility follows political violence

Source: Intelrift, IGE · Institutional fragilityData through 31 December 2023

Sovereign stress shows in reserves, inflation and the currency

Source: Intelrift, IGE · Sovereign stressData through 31 December 2023

How to read the index

Three things to know before reading a figure

01

It measures exposure, not prediction.

The IGE measures how much structural damage an economy would suffer from a route closure, tighter sanctions, a swing in its commodities, an institutional crisis or an episode of sovereign stress. It does not say when anything will happen.

02

The scale is relative to the edition.

Each input is placed between the 5th and 95th percentiles of countries with data and scaled to 0–100. A 70 means being among the most exposed countries in the world in this edition, not 70% of anything.

03

What is missing is visible.

When a country lacks data for a sub-index it shows as "insufficient data" and the index is computed from the others with renormalised weights. Nothing is filled with a zero or an estimate.

Bands of the scaleMinimal 0–20Low 20–30Moderate 30–40Elevated 40–50High 50–60Severe 60+Bands are for reading the map and the table; the computation works with the continuous figure.

Calibration

Calibration: coming soon

Every edition leaves a public record of its scores and hash. Once there is enough history, the index's calibrated accuracy against real stress episodes will be published here.