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Untimed expedition · Data edition 01051846d672
158Wins
4Losses
1Ties
Explore the final empire · 167 countries
No countries match your search.
The path through the world
One choice at a time.
163 rounds
Where it began · 12 countries
India · Mexico · Serbia · Gabon · Türkiye · El Salvador · Ecuador · Guinea · Japan · Sri Lanka · Guinea-Bissau · Togo
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
IndiavsChina
Population: 1,438,069,596 vs 1,410,710,000 people · Higher wins ↑
Conquered China.
Other category comparisons 3 other winning choices
All eight categories for India against China
Category
India
China
Result
Areakm² · Higher wins ↑
3,287,263
9,596,960
Would lose
Populationpeople · Higher wins ↑ · Chosen
1,438,069,596
1,410,710,000
Would win
Wealth per personint’l $ · Higher wins ↑
9,853
25,200
Would lose
Densityper km² · Higher wins ↑
437.5
147.0
Would win
Highest peakm · Higher wins ↑
8,586
8,849
Would lose
Coastlinekm · Higher wins ↑
7,000
14,500
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
22.4° N
32.5° N
Would win
2
Round 2Won14 countries · 4 lives left
MexicovsDR Congo
Population: 129,739,759 vs 105,789,731 people · Higher wins ↑
Conquered DR Congo.
Other category comparisons 5 other winning choices
All eight categories for Mexico against DR Congo
Category
Mexico
DR Congo
Result
Areakm² · Higher wins ↑
1,964,375
2,344,858
Would lose
Populationpeople · Higher wins ↑ · Chosen
129,739,759
105,789,731
Would win
Wealth per personint’l $ · Higher wins ↑
25,188
1,732
Would win
Densityper km² · Higher wins ↑
66.0
45.1
Would win
Highest peakm · Higher wins ↑
5,636
5,110
Would win
Coastlinekm · Higher wins ↑
9,330
37
Would win
Flag colourscolours · Higher wins ↑
11
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
1.9° S
Would lose
3
Round 3Won15 countries · 4 lives left
SerbiavsThailand
Wealth per person: 29,777 vs 23,598 int’l $ · Higher wins ↑
Conquered Thailand.
Other category comparisons 1 other winning choice
All eight categories for Serbia against Thailand
Category
Serbia
Thailand
Result
Areakm² · Higher wins ↑
77,474
513,120
Would lose
Populationpeople · Higher wins ↑
6,623,183
71,702,435
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
29,777
23,598
Would win
Densityper km² · Higher wins ↑
85.5
139.7
Would lose
Highest peakm · Higher wins ↑
2,169
2,565
Would lose
Coastlinekm · Higher wins ↑
0
3,219
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
44.2° N
15.5° N
Would lose
4
Round 4Won16 countries · 4 lives left
GabonvsCzechia
Area: 267,667 vs 78,867 km² · Higher wins ↑
Conquered Czechia.
Other category comparisons 2 other winning choices
All eight categories for Gabon against Czechia
Category
Gabon
Czechia
Result
Areakm² · Higher wins ↑ · Chosen
267,667
78,867
Would win
Populationpeople · Higher wins ↑
2,484,789
10,864,042
Would lose
Wealth per personint’l $ · Higher wins ↑
20,773
56,062
Would lose
Densityper km² · Higher wins ↑
9.3
137.8
Would lose
Highest peakm · Higher wins ↑
1,050
1,602
Would lose
Coastlinekm · Higher wins ↑
885
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
0.6° S
49.8° N
Would win
5
Round 5Won17 countries · 4 lives left
TürkiyevsMorocco
Area: 783,562 vs 446,550 km² · Higher wins ↑
Conquered Morocco.
Other category comparisons 5 other winning choices
All eight categories for Türkiye against Morocco
Category
Türkiye
Morocco
Result
Areakm² · Higher wins ↑ · Chosen
783,562
446,550
Would win
Populationpeople · Higher wins ↑
85,325,965
37,712,505
Would win
Wealth per personint’l $ · Higher wins ↑
43,196
9,903
Would win
Densityper km² · Higher wins ↑
108.9
84.5
Would win
Highest peakm · Higher wins ↑
5,137
4,165
Would win
Coastlinekm · Higher wins ↑
7,200
1,835
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
31.9° N
Would lose
6
Round 6Won18 countries · 4 lives left
El SalvadorvsIran
Proximity to equator: 13.9° N vs 32.1° N from the equator · Closer wins ↓
Conquered Iran.
Other category comparisons 2 other winning choices
All eight categories for El Salvador against Iran
Category
El Salvador
Iran
Result
Areakm² · Higher wins ↑
21,041
1,648,195
Would lose
Populationpeople · Higher wins ↑
6,309,624
90,608,707
Would lose
Wealth per personint’l $ · Higher wins ↑
12,667
18,933
Would lose
Densityper km² · Higher wins ↑
299.9
55.0
Would win
Highest peakm · Higher wins ↑
2,730
5,625
Would lose
Coastlinekm · Higher wins ↑
307
2,440
Would lose
Flag colourscolours · Higher wins ↑
9
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.9° N
32.1° N
Would win
7
Round 7Won19 countries · 4 lives left
EcuadorvsLibya
Proximity to equator: 1.2° S vs 26.1° N from the equator · Closer wins ↓
Conquered Libya.
Other category comparisons 6 other winning choices
All eight categories for Ecuador against Libya
Category
Ecuador
Libya
Result
Areakm² · Higher wins ↑
283,561
1,759,540
Would lose
Populationpeople · Higher wins ↑
17,980,083
7,305,659
Would win
Wealth per personint’l $ · Higher wins ↑
15,907
13,858
Would win
Densityper km² · Higher wins ↑
63.4
4.2
Would win
Highest peakm · Higher wins ↑
6,267
2,267
Would win
Coastlinekm · Higher wins ↑
2,237
1,770
Would win
Flag colourscolours · Higher wins ↑
11
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.2° S
26.1° N
Would win
8
Round 8Won20 countries · 4 lives left
GuineavsSouth Korea
Area: 245,857 vs 99,720 km² · Higher wins ↑
Conquered South Korea.
Other category comparisons 1 other winning choice
All eight categories for Guinea against South Korea
Category
Guinea
South Korea
Result
Areakm² · Higher wins ↑ · Chosen
245,857
99,720
Would win
Populationpeople · Higher wins ↑
14,405,468
51,712,619
Would lose
Wealth per personint’l $ · Higher wins ↑
4,337
57,430
Would lose
Densityper km² · Higher wins ↑
58.6
518.6
Would lose
Highest peakm · Higher wins ↑
1,752
1,950
Would lose
Coastlinekm · Higher wins ↑
320
2,413
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
10.7° N
36.3° N
Would win
9
Round 9Won21 countries · 4 lives left
JapanvsVenezuela
Population: 124,516,650 vs 28,300,854 people · Higher wins ↑
Conquered Venezuela.
Other category comparisons 2 other winning choices
All eight categories for Japan against Venezuela
Category
Japan
Venezuela
Result
Areakm² · Higher wins ↑
377,915
912,050
Would lose
Populationpeople · Higher wins ↑ · Chosen
124,516,650
28,300,854
Would win
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
52,726
Unavailable
Unavailable
Densityper km² · Higher wins ↑
329.5
31.0
Would win
Highest peakm · Higher wins ↑
3,776
4,978
Would lose
Coastlinekm · Higher wins ↑
29,751
2,800
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
36.7° N
7.2° N
Would lose
10
Round 10Won22 countries · 4 lives left
Sri LankavsCyprus
Coastline: 1,340 vs 648 km · Higher wins ↑
Conquered Cyprus.
Other category comparisons 6 other winning choices
All eight categories for Sri Lanka against Cyprus
Category
Sri Lanka
Cyprus
Result
Areakm² · Higher wins ↑
65,610
9,251
Would win
Populationpeople · Higher wins ↑
22,037,000
1,344,976
Would win
Wealth per personint’l $ · Higher wins ↑
14,512
59,875
Would lose
Densityper km² · Higher wins ↑
335.9
145.4
Would win
Highest peakm · Higher wins ↑
2,524
1,951
Would win
Coastlinekm · Higher wins ↑ · Chosen
1,340
648
Would win
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
34.9° N
Would win
11
Round 11Won23 countries · 4 lives left
Guinea-BissauvsAustralia
Proximity to equator: 12.1° N vs 23.1° S from the equator · Closer wins ↓
Conquered Australia.
Other category comparisons 2 other winning choices
All eight categories for Guinea-Bissau against Australia
Category
Guinea-Bissau
Australia
Result
Areakm² · Higher wins ↑
36,125
7,741,220
Would lose
Populationpeople · Higher wins ↑
2,153,339
26,659,922
Would lose
Wealth per personint’l $ · Higher wins ↑
2,956
72,273
Would lose
Densityper km² · Higher wins ↑
59.6
3.4
Would win
Highest peakm · Higher wins ↑
277
2,228
Would lose
Coastlinekm · Higher wins ↑
350
25,760
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.1° N
23.1° S
Would win
12
Round 12Won24 countries · 4 lives left
TogovsSwitzerland
Proximity to equator: 8.9° N vs 46.7° N from the equator · Closer wins ↓
Conquered Switzerland.
Other category comparisons 3 other winning choices
All eight categories for Togo against Switzerland
Category
Togo
Switzerland
Result
Areakm² · Higher wins ↑
56,785
41,277
Would win
Populationpeople · Higher wins ↑
8,223,850
8,888,822
Would lose
Wealth per personint’l $ · Higher wins ↑
3,572
93,940
Would lose
Densityper km² · Higher wins ↑
144.8
215.3
Would lose
Highest peakm · Higher wins ↑
986
4,634
Would lose
Coastlinekm · Higher wins ↑
56
0
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.9° N
46.7° N
Would win
13
Round 13Won25 countries · 4 lives left
IndiavsMauritania
Population: 1,438,069,596 vs 5,022,441 people · Higher wins ↑
Conquered Mauritania.
Other category comparisons 6 other winning choices
All eight categories for India against Mauritania
Category
India
Mauritania
Result
Areakm² · Higher wins ↑
3,287,263
1,030,700
Would win
Populationpeople · Higher wins ↑ · Chosen
1,438,069,596
5,022,441
Would win
Wealth per personint’l $ · Higher wins ↑
9,853
6,972
Would win
Densityper km² · Higher wins ↑
437.5
4.9
Would win
Highest peakm · Higher wins ↑
8,586
915
Would win
Coastlinekm · Higher wins ↑
7,000
754
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
22.4° N
19.4° N
Would lose
14
Round 14Won26 countries · 4 lives left
ChinavsNamibia
Population: 1,410,710,000 vs 2,963,095 people · Higher wins ↑
Conquered Namibia.
Other category comparisons 5 other winning choices
All eight categories for China against Namibia
Category
China
Namibia
Result
Areakm² · Higher wins ↑
9,596,960
824,292
Would win
Populationpeople · Higher wins ↑ · Chosen
1,410,710,000
2,963,095
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
11,248
Would win
Densityper km² · Higher wins ↑
147.0
3.6
Would win
Highest peakm · Higher wins ↑
8,849
2,573
Would win
Coastlinekm · Higher wins ↑
14,500
1,572
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
20.6° S
Would lose
15
Round 15Won27 countries · 4 lives left
MexicovsGreece
Population: 129,739,759 vs 10,407,351 people · Higher wins ↑
Conquered Greece.
Other category comparisons 4 other winning choices
All eight categories for Mexico against Greece
Category
Mexico
Greece
Result
Areakm² · Higher wins ↑
1,964,375
131,957
Would win
Populationpeople · Higher wins ↑ · Chosen
129,739,759
10,407,351
Would win
Wealth per personint’l $ · Higher wins ↑
25,188
42,614
Would lose
Densityper km² · Higher wins ↑
66.0
78.9
Would lose
Highest peakm · Higher wins ↑
5,636
2,917
Would win
Coastlinekm · Higher wins ↑
9,330
13,676
Would lose
Flag colourscolours · Higher wins ↑
11
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
39.8° N
Would win
16
Round 16Won28 countries · 4 lives left
DR CongovsPortugal
Population: 105,789,731 vs 10,578,174 people · Higher wins ↑
Conquered Portugal.
Other category comparisons 3 other winning choices
All eight categories for DR Congo against Portugal
Category
DR Congo
Portugal
Result
Areakm² · Higher wins ↑
2,344,858
92,090
Would win
Populationpeople · Higher wins ↑ · Chosen
105,789,731
10,578,174
Would win
Wealth per personint’l $ · Higher wins ↑
1,732
49,800
Would lose
Densityper km² · Higher wins ↑
45.1
114.9
Would lose
Highest peakm · Higher wins ↑
5,110
2,351
Would win
Coastlinekm · Higher wins ↑
37
1,793
Would lose
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.9° S
40.7° N
Would win
17
Round 17Won29 countries · 4 lives left
SerbiavsUnited States
Density: 85.5 vs 34.2 per km² · Higher wins ↑
Conquered United States.
Other category comparisons 1 other winning choice
All eight categories for Serbia against United States
Category
Serbia
United States
Result
Areakm² · Higher wins ↑
77,474
9,833,517
Would lose
Populationpeople · Higher wins ↑
6,623,183
336,755,052
Would lose
Wealth per personint’l $ · Higher wins ↑
29,777
82,587
Would lose
Densityper km² · Higher wins ↑ · Chosen
85.5
34.2
Would win
Highest peakm · Higher wins ↑
2,169
6,190
Would lose
Coastlinekm · Higher wins ↑
0
19,924
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
44.2° N
39.1° N
Would lose
18
Round 18Won30 countries · 4 lives left
ThailandvsTanzania
Coastline: 3,219 vs 1,424 km · Higher wins ↑
Conquered Tanzania.
Other category comparisons 3 other winning choices
All eight categories for Thailand against Tanzania
Category
Thailand
Tanzania
Result
Areakm² · Higher wins ↑
513,120
947,300
Would lose
Populationpeople · Higher wins ↑
71,702,435
66,617,606
Would win
Wealth per personint’l $ · Higher wins ↑
23,598
4,022
Would win
Densityper km² · Higher wins ↑
139.7
70.3
Would win
Highest peakm · Higher wins ↑
2,565
5,895
Would lose
Coastlinekm · Higher wins ↑ · Chosen
3,219
1,424
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
15.5° N
5.5° S
Would lose
19
Round 19Won31 countries · 4 lives left
GabonvsSweden
Proximity to equator: 0.6° S vs 65.8° N from the equator · Closer wins ↓
Conquered Sweden.
Other category comparisons 1 other winning choice
All eight categories for Gabon against Sweden
Category
Gabon
Sweden
Result
Areakm² · Higher wins ↑
267,667
450,295
Would lose
Populationpeople · Higher wins ↑
2,484,789
10,536,632
Would lose
Wealth per personint’l $ · Higher wins ↑
20,773
68,458
Would lose
Densityper km² · Higher wins ↑
9.3
23.4
Would lose
Highest peakm · Higher wins ↑
1,050
2,100
Would lose
Coastlinekm · Higher wins ↑
885
3,218
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.6° S
65.8° N
Would win
20
Round 20Won32 countries · 4 lives left
CzechiavsUkraine
Wealth per person: 56,062 vs 17,680 int’l $ · Higher wins ↑
Conquered Ukraine.
Other category comparisons 2 other winning choices
All eight categories for Czechia against Ukraine
Category
Czechia
Ukraine
Result
Areakm² · Higher wins ↑
78,867
603,550
Would lose
Populationpeople · Higher wins ↑
10,864,042
37,732,836
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,062
17,680
Would win
Densityper km² · Higher wins ↑
137.8
62.5
Would win
Highest peakm · Higher wins ↑
1,602
2,061
Would lose
Coastlinekm · Higher wins ↑
0
2,782
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Indiavs
China
Mexico
DR Congo
Serbia
Thailand
Gabon
Czechia
Türkiye
Morocco
El Salvador
Iran
Ecuador
Libya
Guinea
South Korea
Japan
Venezuela
Sri Lanka
Cyprus
Guinea-Bissau
Australia
Togo
Switzerland
Mauritania
Namibia
Greece
Portugal
United States
Tanzania
Sweden
Ukraine