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Untimed expedition · Data edition 01051846d672
9Wins
1Losses
0Ties
Explore the final empire · 20 countries
No countries match your search.
The path through the world
One choice at a time.
10 rounds
Where it began · 12 countries
Hungary · United Arab Emirates · Yemen · Somalia · Belarus · Estonia · China · Malaysia · Brunei · Djibouti · Gabon · Costa Rica
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
1
Round 1Won13 countries · 4 lives left
HungaryvsRomania
Wealth per person: 46,376 vs 45,982 int’l $ · Higher wins ↑
Conquered Romania.
Other category comparisons 1 other winning choice
All eight categories for Hungary against Romania
Category
Hungary
Romania
Result
Areakm² · Higher wins ↑
93,028
238,391
Would lose
Populationpeople · Higher wins ↑
9,592,186
19,061,062
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
46,376
45,982
Would win
Densityper km² · Higher wins ↑
103.1
80.0
Would win
Highest peakm · Higher wins ↑
1,014
2,544
Would lose
Coastlinekm · Higher wins ↑
0
225
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
47.3° N
45.7° N
Would lose
2
Round 2Won14 countries · 4 lives left
United Arab EmiratesvsLibya
Density: 125.4 vs 4.2 per km² · Higher wins ↑
Conquered Libya.
Other category comparisons 3 other winning choices
All eight categories for United Arab Emirates against Libya
Category
United Arab Emirates
Libya
Result
Areakm² · Higher wins ↑
83,600
1,759,540
Would lose
Populationpeople · Higher wins ↑
10,483,751
7,305,659
Would win
Wealth per personint’l $ · Higher wins ↑
78,020
13,858
Would win
Densityper km² · Higher wins ↑ · Chosen
125.4
4.2
Would win
Highest peakm · Higher wins ↑
1,905
2,267
Would lose
Coastlinekm · Higher wins ↑
1,318
1,770
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
26.1° N
Would win
3
Round 3Won15 countries · 4 lives left
YemenvsTürkiye
Proximity to equator: 15.3° N vs 39.1° N from the equator · Closer wins ↓
Conquered Türkiye.
Other category comparisons 1 other winning choice
All eight categories for Yemen against Türkiye
Category
Yemen
Türkiye
Result
Areakm² · Higher wins ↑
527,968
783,562
Would lose
Populationpeople · Higher wins ↑
39,390,799
85,325,965
Would lose
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
Unavailable
43,196
Unavailable
Densityper km² · Higher wins ↑
74.6
108.9
Would lose
Highest peakm · Higher wins ↑
3,666
5,137
Would lose
Coastlinekm · Higher wins ↑
1,906
7,200
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
15.3° N
39.1° N
Would win
4
Round 4Won16 countries · 4 lives left
SomaliavsGuinea
Population: 18,358,615 vs 14,405,468 people · Higher wins ↑
Conquered Guinea.
Other category comparisons 4 other winning choices
All eight categories for Somalia against Guinea
Category
Somalia
Guinea
Result
Areakm² · Higher wins ↑
637,657
245,857
Would win
Populationpeople · Higher wins ↑ · Chosen
18,358,615
14,405,468
Would win
Wealth per personint’l $ · Higher wins ↑
1,557
4,337
Would lose
Densityper km² · Higher wins ↑
28.8
58.6
Would lose
Highest peakm · Higher wins ↑
2,460
1,752
Would win
Coastlinekm · Higher wins ↑
3,025
320
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
2.6° N
10.7° N
Would win
5
Round 5Won17 countries · 4 lives left
BelarusvsJamaica
Wealth per person: 30,860 vs 12,661 int’l $ · Higher wins ↑
Conquered Jamaica.
Other category comparisons 2 other winning choices
All eight categories for Belarus against Jamaica
Category
Belarus
Jamaica
Result
Areakm² · Higher wins ↑
207,600
10,991
Would win
Populationpeople · Higher wins ↑
9,178,298
2,839,786
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
30,860
12,661
Would win
Densityper km² · Higher wins ↑
44.2
258.4
Would lose
Highest peakm · Higher wins ↑
346
2,256
Would lose
Coastlinekm · Higher wins ↑
0
1,022
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
53.8° N
18.1° N
Would lose
6
Round 6Won18 countries · 4 lives left
EstoniavsFinland
Density: 30.3 vs 16.5 per km² · Higher wins ↑
Conquered Finland.
Other category comparisons 3 other winning choices
All eight categories for Estonia against Finland
Category
Estonia
Finland
Result
Areakm² · Higher wins ↑
45,228
338,145
Would lose
Populationpeople · Higher wins ↑
1,370,286
5,583,911
Would lose
Wealth per personint’l $ · Higher wins ↑
48,848
63,467
Would lose
Densityper km² · Higher wins ↑ · Chosen
30.3
16.5
Would win
Highest peakm · Higher wins ↑
318
1,328
Would lose
Coastlinekm · Higher wins ↑
3,794
1,250
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
58.6° N
63.3° N
Would win
7
Round 7Won19 countries · 4 lives left
ChinavsVietnam
Population: 1,410,710,000 vs 100,352,192 people · Higher wins ↑
Conquered Vietnam.
Other category comparisons 4 other winning choices
All eight categories for China against Vietnam
Category
China
Vietnam
Result
Areakm² · Higher wins ↑
9,596,960
331,210
Would win
Populationpeople · Higher wins ↑ · Chosen
1,410,710,000
100,352,192
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
15,034
Would win
Densityper km² · Higher wins ↑
147.0
303.0
Would lose
Highest peakm · Higher wins ↑
8,849
3,144
Would win
Coastlinekm · Higher wins ↑
14,500
3,444
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
21.7° N
Would lose
8
Round 8Won20 countries · 4 lives left
MalaysiavsLebanon
Population: 35,126,298 vs 5,773,493 people · Higher wins ↑
Conquered Lebanon.
Other category comparisons 6 other winning choices
All eight categories for Malaysia against Lebanon
Category
Malaysia
Lebanon
Result
Areakm² · Higher wins ↑
329,847
10,400
Would win
Populationpeople · Higher wins ↑ · Chosen
35,126,298
5,773,493
Would win
Wealth per personint’l $ · Higher wins ↑
36,497
12,585
Would win
Densityper km² · Higher wins ↑
106.5
555.1
Would lose
Highest peakm · Higher wins ↑
4,095
3,088
Would win
Coastlinekm · Higher wins ↑
4,675
225
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
4.4° N
34.2° N
Would win
9
Round 9Won21 countries · 4 lives left
BruneivsZimbabwe
Wealth per person: 85,103 vs 5,796 int’l $ · Higher wins ↑
Conquered Zimbabwe.
Other category comparisons 3 other winning choices
All eight categories for Brunei against Zimbabwe
Category
Brunei
Zimbabwe
Result
Areakm² · Higher wins ↑
5,765
390,757
Would lose
Populationpeople · Higher wins ↑
458,949
16,340,822
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
85,103
5,796
Would win
Densityper km² · Higher wins ↑
79.6
41.8
Would win
Highest peakm · Higher wins ↑
1,850
2,592
Would lose
Coastlinekm · Higher wins ↑
161
0
Would win
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
19.0° S
Would win
10
Round 10Lost20 countries · 3 lives left
DjiboutivsBahrain
Population: 1,152,944 vs 1,577,059 people · Higher wins ↑
Returned to the world: Djibouti.
Other category comparisons 5 other winning choices
All eight categories for Djibouti against Bahrain
Category
Djibouti
Bahrain
Result
Areakm² · Higher wins ↑
23,200
760
Would win
Populationpeople · Higher wins ↑ · Chosen
1,152,944
1,577,059
Would lose
Wealth per personint’l $ · Higher wins ↑
7,232
64,224
Would lose
Densityper km² · Higher wins ↑
49.7
2,075.1
Would lose
Highest peakm · Higher wins ↑
2,021
135
Would win
Coastlinekm · Higher wins ↑
314
161
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓