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Untimed expedition · Data edition 01051846d672
71Wins
4Losses
2Ties
Explore the final empire · 81 countries
No countries match your search.
The path through the world
One choice at a time.
77 rounds
Where it began · 12 countries
El Salvador · Belarus · Mongolia · Colombia · Nigeria · Guinea-Bissau · Luxembourg · Brazil · Senegal · Burundi · Morocco · Libya
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
El SalvadorvsSierra Leone
Wealth per person: 12,667 vs 3,371 int’l $ · Higher wins ↑
Conquered Sierra Leone.
Other category comparisons 3 other winning choices
All eight categories for El Salvador against Sierra Leone
Category
El Salvador
Sierra Leone
Result
Areakm² · Higher wins ↑
21,041
71,740
Would lose
Populationpeople · Higher wins ↑
6,309,624
8,460,512
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
12,667
3,371
Would win
Densityper km² · Higher wins ↑
299.9
117.9
Would win
Highest peakm · Higher wins ↑
2,730
1,948
Would win
Coastlinekm · Higher wins ↑
307
402
Would lose
Flag colourscolours · Higher wins ↑
9
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
13.9° N
8.7° N
Would lose
2
Round 2Won14 countries · 4 lives left
BelarusvsFinland
Proximity to equator: 53.8° N vs 63.3° N from the equator · Closer wins ↓
Conquered Finland.
Other category comparisons 3 other winning choices
All eight categories for Belarus against Finland
Category
Belarus
Finland
Result
Areakm² · Higher wins ↑
207,600
338,145
Would lose
Populationpeople · Higher wins ↑
9,178,298
5,583,911
Would win
Wealth per personint’l $ · Higher wins ↑
30,860
63,467
Would lose
Densityper km² · Higher wins ↑
44.2
16.5
Would win
Highest peakm · Higher wins ↑
346
1,328
Would lose
Coastlinekm · Higher wins ↑
0
1,250
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
53.8° N
63.3° N
Would win
3
Round 3Won15 countries · 4 lives left
MongoliavsLebanon
Area: 1,564,116 vs 10,400 km² · Higher wins ↑
Conquered Lebanon.
Other category comparisons 2 other winning choices
All eight categories for Mongolia against Lebanon
Category
Mongolia
Lebanon
Result
Areakm² · Higher wins ↑ · Chosen
1,564,116
10,400
Would win
Populationpeople · Higher wins ↑
3,481,145
5,773,493
Would lose
Wealth per personint’l $ · Higher wins ↑
18,020
12,585
Would win
Densityper km² · Higher wins ↑
2.2
555.1
Would lose
Highest peakm · Higher wins ↑
4,374
3,088
Would win
Coastlinekm · Higher wins ↑
0
225
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
46.0° N
34.2° N
Would lose
4
Round 4Lost14 countries · 3 lives left
ColombiavsTanzania
Population: 52,321,152 vs 66,617,606 people · Higher wins ↑
Returned to the world: Colombia.
Other category comparisons 4 other winning choices
All eight categories for Colombia against Tanzania
Category
Colombia
Tanzania
Result
Areakm² · Higher wins ↑
1,138,910
947,300
Would win
Populationpeople · Higher wins ↑ · Chosen
52,321,152
66,617,606
Would lose
Wealth per personint’l $ · Higher wins ↑
21,282
4,022
Would win
Densityper km² · Higher wins ↑
45.9
70.3
Would lose
Highest peakm · Higher wins ↑
5,730
5,895
Would lose
Coastlinekm · Higher wins ↑
3,208
1,424
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
3.4° N
5.5° S
Would win
5
Round 5Won15 countries · 3 lives left
NigeriavsMyanmar
Population: 227,882,945 vs 54,133,798 people · Higher wins ↑
Conquered Myanmar.
Other category comparisons 4 other winning choices
All eight categories for Nigeria against Myanmar
Category
Nigeria
Myanmar
Result
Areakm² · Higher wins ↑
923,768
676,578
Would win
Populationpeople · Higher wins ↑ · Chosen
227,882,945
54,133,798
Would win
Wealth per personint’l $ · Higher wins ↑
8,712
5,958
Would win
Densityper km² · Higher wins ↑
246.7
80.0
Would win
Highest peakm · Higher wins ↑
2,419
5,870
Would lose
Coastlinekm · Higher wins ↑
853
1,930
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
9.4° N
21.6° N
Would win
6
Round 6Won16 countries · 3 lives left
Guinea-BissauvsPakistan
Proximity to equator: 12.1° N vs 27.8° N from the equator · Closer wins ↓
Conquered Pakistan.
Other category comparisons 1 other winning choice
All eight categories for Guinea-Bissau against Pakistan
Category
Guinea-Bissau
Pakistan
Result
Areakm² · Higher wins ↑
36,125
796,095
Would lose
Populationpeople · Higher wins ↑
2,153,339
247,504,495
Would lose
Wealth per personint’l $ · Higher wins ↑
2,956
6,019
Would lose
Densityper km² · Higher wins ↑
59.6
310.9
Would lose
Highest peakm · Higher wins ↑
277
8,611
Would lose
Coastlinekm · Higher wins ↑
350
1,046
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.1° N
27.8° N
Would win
7
Round 7Won17 countries · 3 lives left
LuxembourgvsSolomon Islands
Wealth per person: 152,596 vs 2,599 int’l $ · Higher wins ↑
Conquered Solomon Islands.
Other category comparisons 1 other winning choice
All eight categories for Luxembourg against Solomon Islands
Category
Luxembourg
Solomon Islands
Result
Areakm² · Higher wins ↑
2,586
28,896
Would lose
Populationpeople · Higher wins ↑
666,430
800,005
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
152,596
2,599
Would win
Densityper km² · Higher wins ↑
257.7
27.7
Would win
Highest peakm · Higher wins ↑
559
2,335
Would lose
Coastlinekm · Higher wins ↑
0
5,313
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.7° N
9.6° S
Would lose
8
Round 8Won18 countries · 3 lives left
BrazilvsAfghanistan
Proximity to equator: 12.6° S vs 34.3° N from the equator · Closer wins ↓
Conquered Afghanistan.
Other category comparisons 4 other winning choices
All eight categories for Brazil against Afghanistan
Category
Brazil
Afghanistan
Result
Areakm² · Higher wins ↑
8,515,770
652,230
Would win
Populationpeople · Higher wins ↑
211,140,729
41,454,761
Would win
Wealth per personint’l $ · Higher wins ↑
21,193
2,204
Would win
Densityper km² · Higher wins ↑
24.8
63.6
Would lose
Highest peakm · Higher wins ↑
2,994
7,492
Would lose
Coastlinekm · Higher wins ↑
7,491
0
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.6° S
34.3° N
Would win
9
Round 9Won19 countries · 3 lives left
SenegalvsMozambique
Density: 91.9 vs 42.1 per km² · Higher wins ↑
Conquered Mozambique.
Other category comparisons 1 other winning choice
All eight categories for Senegal against Mozambique
Category
Senegal
Mozambique
Result
Areakm² · Higher wins ↑
196,722
799,380
Would lose
Populationpeople · Higher wins ↑
18,077,573
33,635,160
Would lose
Wealth per personint’l $ · Higher wins ↑
4,782
1,680
Would win
Densityper km² · Higher wins ↑ · Chosen
91.9
42.1
Would win
Highest peakm · Higher wins ↑
648
2,436
Would lose
Coastlinekm · Higher wins ↑
531
2,470
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
15.2° N
14.0° S
Would lose
10
Round 10Won20 countries · 3 lives left
BurundivsCroatia
Proximity to equator: 3.4° S vs 45.8° N from the equator · Closer wins ↓
Conquered Croatia.
Other category comparisons 3 other winning choices
All eight categories for Burundi against Croatia
Category
Burundi
Croatia
Result
Areakm² · Higher wins ↑
27,830
56,594
Would lose
Populationpeople · Higher wins ↑
13,689,450
3,859,686
Would win
Wealth per personint’l $ · Higher wins ↑
1,147
47,760
Would lose
Densityper km² · Higher wins ↑
491.9
68.2
Would win
Highest peakm · Higher wins ↑
2,685
1,831
Would win
Coastlinekm · Higher wins ↑
0
5,835
Would lose
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
3.4° S
45.8° N
Would win
11
Round 11Won21 countries · 3 lives left
MoroccovsTimor-Leste
Wealth per person: 9,903 vs 4,811 int’l $ · Higher wins ↑
Conquered Timor-Leste.
Other category comparisons 4 other winning choices
All eight categories for Morocco against Timor-Leste
Category
Morocco
Timor-Leste
Result
Areakm² · Higher wins ↑
446,550
14,874
Would win
Populationpeople · Higher wins ↑
37,712,505
1,384,286
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
9,903
4,811
Would win
Densityper km² · Higher wins ↑
84.5
93.1
Would lose
Highest peakm · Higher wins ↑
4,165
2,963
Would win
Coastlinekm · Higher wins ↑
1,835
706
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
31.9° N
8.9° S
Would lose
12
Round 12Won22 countries · 3 lives left
LibyavsLiberia
Coastline: 1,770 vs 579 km · Higher wins ↑
Conquered Liberia.
Other category comparisons 5 other winning choices
All eight categories for Libya against Liberia
Category
Libya
Liberia
Result
Areakm² · Higher wins ↑
1,759,540
111,369
Would win
Populationpeople · Higher wins ↑
7,305,659
5,493,031
Would win
Wealth per personint’l $ · Higher wins ↑
13,858
1,796
Would win
Densityper km² · Higher wins ↑
4.2
49.3
Would lose
Highest peakm · Higher wins ↑
2,267
1,447
Would win
Coastlinekm · Higher wins ↑ · Chosen
1,770
579
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
7.0° N
Would lose
13
Round 13Won23 countries · 3 lives left
El SalvadorvsAlgeria
Density: 299.9 vs 19.4 per km² · Higher wins ↑
Conquered Algeria.
Other category comparisons 2 other winning choices
All eight categories for El Salvador against Algeria
Category
El Salvador
Algeria
Result
Areakm² · Higher wins ↑
21,041
2,381,740
Would lose
Populationpeople · Higher wins ↑
6,309,624
46,164,219
Would lose
Wealth per personint’l $ · Higher wins ↑
12,667
16,838
Would lose
Densityper km² · Higher wins ↑ · Chosen
299.9
19.4
Would win
Highest peakm · Higher wins ↑
2,730
2,908
Would lose
Coastlinekm · Higher wins ↑
307
998
Would lose
Flag colourscolours · Higher wins ↑
9
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
13.9° N
27.4° N
Would win
14
Round 14Won24 countries · 3 lives left
Sierra LeonevsEquatorial Guinea
Population: 8,460,512 vs 1,847,549 people · Higher wins ↑
Conquered Equatorial Guinea.
Other category comparisons 3 other winning choices
All eight categories for Sierra Leone against Equatorial Guinea
Category
Sierra Leone
Equatorial Guinea
Result
Areakm² · Higher wins ↑
71,740
28,051
Would win
Populationpeople · Higher wins ↑ · Chosen
8,460,512
1,847,549
Would win
Wealth per personint’l $ · Higher wins ↑
3,371
16,997
Would lose
Densityper km² · Higher wins ↑
117.9
65.9
Would win
Highest peakm · Higher wins ↑
1,948
3,008
Would lose
Coastlinekm · Higher wins ↑
402
296
Would win
Flag colourscolours · Higher wins ↑
3
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
8.7° N
1.6° N
Would lose
15
Round 15Won25 countries · 3 lives left
BelarusvsPeru
Flag colours: 3 vs 2 colours · Higher wins ↑
Conquered Peru.
Other category comparisons 2 other winning choices
All eight categories for Belarus against Peru
Category
Belarus
Peru
Result
Areakm² · Higher wins ↑
207,600
1,285,216
Would lose
Populationpeople · Higher wins ↑
9,178,298
33,845,617
Would lose
Wealth per personint’l $ · Higher wins ↑
30,860
17,042
Would win
Densityper km² · Higher wins ↑
44.2
26.3
Would win
Highest peakm · Higher wins ↑
346
6,746
Would lose
Coastlinekm · Higher wins ↑
0
2,414
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
53.8° N
13.0° S
Would lose
16
Round 16Won26 countries · 3 lives left
FinlandvsHaiti
Area: 338,145 vs 27,750 km² · Higher wins ↑
Conquered Haiti.
Other category comparisons 1 other winning choice
All eight categories for Finland against Haiti
Category
Finland
Haiti
Result
Areakm² · Higher wins ↑ · Chosen
338,145
27,750
Would win
Populationpeople · Higher wins ↑
5,583,911
11,637,398
Would lose
Wealth per personint’l $ · Higher wins ↑
63,467
3,265
Would win
Densityper km² · Higher wins ↑
16.5
419.4
Would lose
Highest peakm · Higher wins ↑
1,328
2,674
Would lose
Coastlinekm · Higher wins ↑
1,250
1,771
Would lose
Flag colourscolours · Higher wins ↑
2
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
63.3° N
19.2° N
Would lose
17
Round 17Won27 countries · 3 lives left
MongoliavsVenezuela
Area: 1,564,116 vs 912,050 km² · Higher wins ↑
Conquered Venezuela.
Other category comparisons 0 other winning choices
All eight categories for Mongolia against Venezuela
Category
Mongolia
Venezuela
Result
Areakm² · Higher wins ↑ · Chosen
1,564,116
912,050
Would win
Populationpeople · Higher wins ↑
3,481,145
28,300,854
Would lose
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
18,020
Unavailable
Unavailable
Densityper km² · Higher wins ↑
2.2
31.0
Would lose
Highest peakm · Higher wins ↑
4,374
4,978
Would lose
Coastlinekm · Higher wins ↑
0
2,800
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.0° N
7.2° N
Would lose
18
Round 18Won28 countries · 3 lives left
LebanonvsNamibia
Density: 555.1 vs 3.6 per km² · Higher wins ↑
Conquered Namibia.
Other category comparisons 3 other winning choices
All eight categories for Lebanon against Namibia
Category
Lebanon
Namibia
Result
Areakm² · Higher wins ↑
10,400
824,292
Would lose
Populationpeople · Higher wins ↑
5,773,493
2,963,095
Would win
Wealth per personint’l $ · Higher wins ↑
12,585
11,248
Would win
Densityper km² · Higher wins ↑ · Chosen
555.1
3.6
Would win
Highest peakm · Higher wins ↑
3,088
2,573
Would win
Coastlinekm · Higher wins ↑
225
1,572
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
34.2° N
20.6° S
Would lose
19
Round 19Won29 countries · 3 lives left
NigeriavsVanuatu
Population: 227,882,945 vs 320,409 people · Higher wins ↑
Conquered Vanuatu.
Other category comparisons 5 other winning choices
All eight categories for Nigeria against Vanuatu
Category
Nigeria
Vanuatu
Result
Areakm² · Higher wins ↑
923,768
12,189
Would win
Populationpeople · Higher wins ↑ · Chosen
227,882,945
320,409
Would win
Wealth per personint’l $ · Higher wins ↑
8,712
4,202
Would win
Densityper km² · Higher wins ↑
246.7
26.3
Would win
Highest peakm · Higher wins ↑
2,419
1,877
Would win
Coastlinekm · Higher wins ↑
853
2,528
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
9.4° N
15.4° S
Would win
20
Round 20Won30 countries · 3 lives left
MyanmarvsNorth Macedonia
Area: 676,578 vs 25,713 km² · Higher wins ↑
Conquered North Macedonia.
Other category comparisons 6 other winning choices
All eight categories for Myanmar against North Macedonia
Category
Myanmar
North Macedonia
Result
Areakm² · Higher wins ↑ · Chosen
676,578
25,713
Would win
Populationpeople · Higher wins ↑
54,133,798
1,827,816
Would win
Wealth per personint’l $ · Higher wins ↑
5,958
25,354
Would lose
Densityper km² · Higher wins ↑
80.0
71.1
Would win
Highest peakm · Higher wins ↑
5,870
2,764
Would win
Coastlinekm · Higher wins ↑
1,930
0
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
El Salvadorvs
Sierra Leone
Belarus
Finland
Mongolia
Lebanon
Colombia
Tanzania
Nigeria
Myanmar
Guinea-Bissau
Pakistan
Luxembourg
Solomon Islands
Brazil
Afghanistan
Senegal
Mozambique
Burundi
Croatia
Morocco
Timor-Leste
Libya
Liberia
Algeria
Equatorial Guinea
Peru
Haiti
Venezuela
Namibia
Vanuatu
North Macedonia