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Untimed expedition · Data edition 01051846d672
162Wins
2Losses
2Ties
Explore the final empire · 174 countries
No countries match your search.
The path through the world
One choice at a time.
166 rounds
Where it began · 12 countries
Guyana · Zambia · Jamaica · Iceland · Cambodia · Trinidad and Tobago · Peru · Cuba · Denmark · Myanmar · Cameroon · Gambia
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
121
Round 121Won133 countries · 4 lives left
EstoniavsEthiopia
Coastline: 3,794 vs 0 km · Higher wins ↑
Conquered Ethiopia.
Other category comparisons 1 other winning choice
All eight categories for Estonia against Ethiopia
Category
Estonia
Ethiopia
Result
Areakm² · Higher wins ↑
45,228
1,104,300
Would lose
Populationpeople · Higher wins ↑
1,370,286
128,691,692
Would lose
Wealth per personint’l $ · Higher wins ↑
48,848
3,063
Would win
Densityper km² · Higher wins ↑
30.3
116.5
Would lose
Highest peakm · Higher wins ↑
318
4,550
Would lose
Coastlinekm · Higher wins ↑ · Chosen
3,794
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
58.6° N
8.5° N
Would lose
122
Round 122Won134 countries · 4 lives left
South KoreavsLesotho
Wealth per person: 57,430 vs 2,880 int’l $ · Higher wins ↑
Conquered Lesotho.
Other category comparisons 4 other winning choices
All eight categories for South Korea against Lesotho
Category
South Korea
Lesotho
Result
Areakm² · Higher wins ↑
99,720
30,355
Would win
Populationpeople · Higher wins ↑
51,712,619
2,311,472
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
57,430
2,880
Would win
Densityper km² · Higher wins ↑
518.6
76.1
Would win
Highest peakm · Higher wins ↑
1,950
3,482
Would lose
Coastlinekm · Higher wins ↑
2,413
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
36.3° N
29.4° S
Would lose
123
Round 123Won135 countries · 4 lives left
Trinidad and TobagovsPoland
Density: 266.7 vs 117.3 per km² · Higher wins ↑
Conquered Poland.
Other category comparisons 2 other winning choices
All eight categories for Trinidad and Tobago against Poland
Category
Trinidad and Tobago
Poland
Result
Areakm² · Higher wins ↑
5,128
312,685
Would lose
Populationpeople · Higher wins ↑
1,367,510
36,687,353
Would lose
Wealth per personint’l $ · Higher wins ↑
34,652
48,473
Would lose
Densityper km² · Higher wins ↑ · Chosen
266.7
117.3
Would win
Highest peakm · Higher wins ↑
940
2,499
Would lose
Coastlinekm · Higher wins ↑
362
440
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
10.3° N
51.9° N
Would win
124
Round 124Won136 countries · 4 lives left
BotswanavsEritrea
Area: 581,730 vs 117,600 km² · Higher wins ↑
Conquered Eritrea.
Other category comparisons 0 other winning choices
All eight categories for Botswana against Eritrea
Category
Botswana
Eritrea
Result
Areakm² · Higher wins ↑ · Chosen
581,730
117,600
Would win
Populationpeople · Higher wins ↑
2,480,244
3,470,390
Would lose
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
21,029
Unavailable
Unavailable
Densityper km² · Higher wins ↑
4.3
29.5
Would lose
Highest peakm · Higher wins ↑
1,495
3,018
Would lose
Coastlinekm · Higher wins ↑
0
2,234
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
22.1° S
16.0° N
Would lose
125
Round 125Won137 countries · 4 lives left
GhanavsTajikistan
Coastline: 539 vs 0 km · Higher wins ↑
Conquered Tajikistan.
Other category comparisons 5 other winning choices
All eight categories for Ghana against Tajikistan
Category
Ghana
Tajikistan
Result
Areakm² · Higher wins ↑
238,533
144,100
Would win
Populationpeople · Higher wins ↑
33,787,914
10,389,799
Would win
Wealth per personint’l $ · Higher wins ↑
7,563
4,968
Would win
Densityper km² · Higher wins ↑
141.6
72.1
Would win
Highest peakm · Higher wins ↑
885
7,495
Would lose
Coastlinekm · Higher wins ↑ · Chosen
539
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
7.0° N
38.3° N
Would win
126
Round 126Won138 countries · 4 lives left
YemenvsCentral African Republic
Coastline: 1,906 vs 0 km · Higher wins ↑
Conquered Central African Republic.
Other category comparisons 3 other winning choices
All eight categories for Yemen against Central African Republic
Category
Yemen
Central African Republic
Result
Areakm² · Higher wins ↑
527,968
622,984
Would lose
Populationpeople · Higher wins ↑
39,390,799
5,152,421
Would win
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
Unavailable
1,258
Unavailable
Densityper km² · Higher wins ↑
74.6
8.3
Would win
Highest peakm · Higher wins ↑
3,666
1,410
Would win
Coastlinekm · Higher wins ↑ · Chosen
1,906
0
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
15.3° N
7.0° N
Would lose
127
Round 127Won139 countries · 4 lives left
North KoreavsIran
Density: 219.2 vs 55.0 per km² · Higher wins ↑
Conquered Iran.
Other category comparisons 1 other winning choice
All eight categories for North Korea against Iran
Category
North Korea
Iran
Result
Areakm² · Higher wins ↑
120,538
1,648,195
Would lose
Populationpeople · Higher wins ↑
26,418,204
90,608,707
Would lose
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
18,933
Unavailable
Densityper km² · Higher wins ↑ · Chosen
219.2
55.0
Would win
Highest peakm · Higher wins ↑
2,744
5,625
Would lose
Coastlinekm · Higher wins ↑
2,495
2,440
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
32.1° N
Would lose
128
Round 128Won140 countries · 4 lives left
BulgariavsGuinea-Bissau
Area: 110,879 vs 36,125 km² · Higher wins ↑
Conquered Guinea-Bissau.
Other category comparisons 4 other winning choices
All eight categories for Bulgaria against Guinea-Bissau
Category
Bulgaria
Guinea-Bissau
Result
Areakm² · Higher wins ↑ · Chosen
110,879
36,125
Would win
Populationpeople · Higher wins ↑
6,446,596
2,153,339
Would win
Wealth per personint’l $ · Higher wins ↑
38,829
2,956
Would win
Densityper km² · Higher wins ↑
58.1
59.6
Would lose
Highest peakm · Higher wins ↑
2,925
277
Would win
Coastlinekm · Higher wins ↑
354
350
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
42.5° N
12.1° N
Would lose
129
Round 129Won141 countries · 4 lives left
HaitivsMozambique
Flag colours: 7 vs 5 colours · Higher wins ↑
Conquered Mozambique.
Other category comparisons 3 other winning choices
All eight categories for Haiti against Mozambique
Category
Haiti
Mozambique
Result
Areakm² · Higher wins ↑
27,750
799,380
Would lose
Populationpeople · Higher wins ↑
11,637,398
33,635,160
Would lose
Wealth per personint’l $ · Higher wins ↑
3,265
1,680
Would win
Densityper km² · Higher wins ↑
419.4
42.1
Would win
Highest peakm · Higher wins ↑
2,674
2,436
Would win
Coastlinekm · Higher wins ↑
1,771
2,470
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
7
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.2° N
14.0° S
Would lose
130
Round 130Won142 countries · 4 lives left
DR CongovsMexico
Proximity to equator: 1.9° S vs 23.5° N from the equator · Closer wins ↓
Conquered Mexico.
Other category comparisons 1 other winning choice
All eight categories for DR Congo against Mexico
Category
DR Congo
Mexico
Result
Areakm² · Higher wins ↑
2,344,858
1,964,375
Would win
Populationpeople · Higher wins ↑
105,789,731
129,739,759
Would lose
Wealth per personint’l $ · Higher wins ↑
1,732
25,188
Would lose
Densityper km² · Higher wins ↑
45.1
66.0
Would lose
Highest peakm · Higher wins ↑
5,110
5,636
Would lose
Coastlinekm · Higher wins ↑
37
9,330
Would lose
Flag colourscolours · Higher wins ↑
3
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.9° S
23.5° N
Would win
131
Round 131Won143 countries · 4 lives left
BahrainvsGuatemala
Wealth per person: 64,224 vs 13,752 int’l $ · Higher wins ↑
Conquered Guatemala.
Other category comparisons 1 other winning choice
All eight categories for Bahrain against Guatemala
Category
Bahrain
Guatemala
Result
Areakm² · Higher wins ↑
760
108,889
Would lose
Populationpeople · Higher wins ↑
1,577,059
18,124,838
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
64,224
13,752
Would win
Densityper km² · Higher wins ↑
2,075.1
166.5
Would win
Highest peakm · Higher wins ↑
135
4,220
Would lose
Coastlinekm · Higher wins ↑
161
400
Would lose
Flag colourscolours · Higher wins ↑
2
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
26.0° N
15.0° N
Would lose
132
Round 132Lost142 countries · 3 lives left
UruguayvsSouth Africa
Density: 19.2 vs 51.9 per km² · Higher wins ↑
Returned to the world: Uruguay.
Other category comparisons 1 other winning choice
All eight categories for Uruguay against South Africa
Category
Uruguay
South Africa
Result
Areakm² · Higher wins ↑
176,215
1,219,090
Would lose
Populationpeople · Higher wins ↑
3,388,081
63,212,384
Would lose
Wealth per personint’l $ · Higher wins ↑
34,546
15,212
Would win
Densityper km² · Higher wins ↑ · Chosen
19.2
51.9
Would lose
Highest peakm · Higher wins ↑
514
3,450
Would lose
Coastlinekm · Higher wins ↑
660
2,798
Would lose
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.9° S
30.2° S
Would lose
133
Round 133Won143 countries · 3 lives left
PeruvsItaly
Proximity to equator: 13.0° S vs 45.1° N from the equator · Closer wins ↓
Conquered Italy.
Other category comparisons 2 other winning choices
All eight categories for Peru against Italy
Category
Peru
Italy
Result
Areakm² · Higher wins ↑
1,285,216
301,340
Would win
Populationpeople · Higher wins ↑
33,845,617
58,984,216
Would lose
Wealth per personint’l $ · Higher wins ↑
17,042
60,350
Would lose
Densityper km² · Higher wins ↑
26.3
195.7
Would lose
Highest peakm · Higher wins ↑
6,746
4,748
Would win
Coastlinekm · Higher wins ↑
2,414
7,600
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.0° S
45.1° N
Would win
134
Round 134Won144 countries · 3 lives left
IsraelvsLithuania
Density: 449.0 vs 44.0 per km² · Higher wins ↑
Conquered Lithuania.
Other category comparisons 5 other winning choices
All eight categories for Israel against Lithuania
Category
Israel
Lithuania
Result
Areakm² · Higher wins ↑
21,937
65,300
Would lose
Populationpeople · Higher wins ↑
9,849,000
2,871,585
Would win
Wealth per personint’l $ · Higher wins ↑
55,301
52,720
Would win
Densityper km² · Higher wins ↑ · Chosen
449.0
44.0
Would win
Highest peakm · Higher wins ↑
2,224
294
Would win
Coastlinekm · Higher wins ↑
273
90
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
30.9° N
55.1° N
Would win
135
Round 135Won145 countries · 3 lives left
SloveniavsAustria
Coastline: 46.6 vs 0 km · Higher wins ↑
Conquered Austria.
Other category comparisons 2 other winning choices
All eight categories for Slovenia against Austria
Category
Slovenia
Austria
Result
Areakm² · Higher wins ↑
20,273
83,871
Would lose
Populationpeople · Higher wins ↑
2,120,461
9,131,761
Would lose
Wealth per personint’l $ · Higher wins ↑
56,151
74,261
Would lose
Densityper km² · Higher wins ↑
104.6
108.9
Would lose
Highest peakm · Higher wins ↑
2,864
3,798
Would lose
Coastlinekm · Higher wins ↑ · Chosen
46.6
0
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
46.0° N
47.7° N
Would win
136
Round 136Won146 countries · 3 lives left
IraqvsLebanon
Area: 438,317 vs 10,400 km² · Higher wins ↑
Conquered Lebanon.
Other category comparisons 5 other winning choices
All eight categories for Iraq against Lebanon
Category
Iraq
Lebanon
Result
Areakm² · Higher wins ↑ · Chosen
438,317
10,400
Would win
Populationpeople · Higher wins ↑
45,074,049
5,773,493
Would win
Wealth per personint’l $ · Higher wins ↑
14,665
12,585
Would win
Densityper km² · Higher wins ↑
102.8
555.1
Would lose
Highest peakm · Higher wins ↑
3,611
3,088
Would win
Coastlinekm · Higher wins ↑
58
225
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
33.3° N
34.2° N
Would win
137
Round 137Won147 countries · 3 lives left
EcuadorvsSierra Leone
Proximity to equator: 1.2° S vs 8.7° N from the equator · Closer wins ↓
Conquered Sierra Leone.
Other category comparisons 6 other winning choices
All eight categories for Ecuador against Sierra Leone
Category
Ecuador
Sierra Leone
Result
Areakm² · Higher wins ↑
283,561
71,740
Would win
Populationpeople · Higher wins ↑
17,980,083
8,460,512
Would win
Wealth per personint’l $ · Higher wins ↑
15,907
3,371
Would win
Densityper km² · Higher wins ↑
63.4
117.9
Would lose
Highest peakm · Higher wins ↑
6,267
1,948
Would win
Coastlinekm · Higher wins ↑
2,237
402
Would win
Flag colourscolours · Higher wins ↑
11
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.2° S
8.7° N
Would win
138
Round 138Won148 countries · 3 lives left
JapanvsGabon
Population: 124,516,650 vs 2,484,789 people · Higher wins ↑
Conquered Gabon.
Other category comparisons 5 other winning choices
All eight categories for Japan against Gabon
Category
Japan
Gabon
Result
Areakm² · Higher wins ↑
377,915
267,667
Would win
Populationpeople · Higher wins ↑ · Chosen
124,516,650
2,484,789
Would win
Wealth per personint’l $ · Higher wins ↑
52,726
20,773
Would win
Densityper km² · Higher wins ↑
329.5
9.3
Would win
Highest peakm · Higher wins ↑
3,776
1,050
Would win
Coastlinekm · Higher wins ↑
29,751
885
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
36.7° N
0.6° S
Would lose
139
Round 139Won149 countries · 3 lives left
AfghanistanvsArgentina
Highest peak: 7,492 vs 6,962 m · Higher wins ↑
Conquered Argentina.
Other category comparisons 2 other winning choices
All eight categories for Afghanistan against Argentina
Category
Afghanistan
Argentina
Result
Areakm² · Higher wins ↑
652,230
2,780,400
Would lose
Populationpeople · Higher wins ↑
41,454,761
45,538,401
Would lose
Wealth per personint’l $ · Higher wins ↑
2,204
30,246
Would lose
Densityper km² · Higher wins ↑
63.6
16.4
Would win
Highest peakm · Higher wins ↑ · Chosen
7,492
6,962
Would win
Coastlinekm · Higher wins ↑
0
4,989
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
34.3° N
31.4° S
Would lose
140
Round 140Won150 countries · 3 lives left
ChadvsChina
Proximity to equator: 17.3° N vs 32.5° N from the equator · Closer wins ↓
Conquered China.
Other category comparisons 1 other winning choice
All eight categories for Chad against China
Category
Chad
China
Result
Areakm² · Higher wins ↑
1,284,000
9,596,960
Would lose
Populationpeople · Higher wins ↑
19,319,064
1,410,710,000
Would lose
Wealth per personint’l $ · Higher wins ↑
2,703
25,200
Would lose
Densityper km² · Higher wins ↑
15.0
147.0
Would lose
Highest peakm · Higher wins ↑
3,445
8,849
Would lose
Coastlinekm · Higher wins ↑
0
14,500
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
Estoniavs
Ethiopia
South Korea
Lesotho
Trinidad and Tobago
Poland
Botswana
Eritrea
Ghana
Tajikistan
Yemen
Central African Republic
North Korea
Iran
Bulgaria
Guinea-Bissau
Haiti
Mozambique
DR Congo
Mexico
Bahrain
Guatemala
Uruguay
South Africa
Peru
Italy
Israel
Lithuania
Slovenia
Austria
Iraq
Lebanon
Ecuador
Sierra Leone
Japan
Gabon
Afghanistan
Argentina
Chad
China