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Untimed expedition · Data edition 01051846d672
93Wins
4Losses
0Ties
Explore the final empire · 101 countries
No countries match your search.
The path through the world
One choice at a time.
97 rounds
Where it began · 12 countries
Indonesia · Republic of the Congo · Afghanistan · Guinea · Comoros · Poland · Ireland · Denmark · Cameroon · Mongolia · Nicaragua · Mexico
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
21
Round 21Won33 countries · 4 lives left
ComorosvsYemen
Density: 380.5 vs 74.6 per km² · Higher wins ↑
Conquered Yemen.
Other category comparisons 2 other winning choices
All eight categories for Comoros against Yemen
Category
Comoros
Yemen
Result
Areakm² · Higher wins ↑
2,235
527,968
Would lose
Populationpeople · Higher wins ↑
850,387
39,390,799
Would lose
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
3,897
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
380.5
74.6
Would win
Highest peakm · Higher wins ↑
2,360
3,666
Would lose
Coastlinekm · Higher wins ↑
340
1,906
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
11.7° S
15.3° N
Would win
22
Round 22Won34 countries · 4 lives left
VietnamvsMalawi
Population: 100,352,192 vs 21,104,482 people · Higher wins ↑
Conquered Malawi.
Other category comparisons 5 other winning choices
All eight categories for Vietnam against Malawi
Category
Vietnam
Malawi
Result
Areakm² · Higher wins ↑
331,210
118,484
Would win
Populationpeople · Higher wins ↑ · Chosen
100,352,192
21,104,482
Would win
Wealth per personint’l $ · Higher wins ↑
15,034
1,832
Would win
Densityper km² · Higher wins ↑
303.0
178.1
Would win
Highest peakm · Higher wins ↑
3,144
3,002
Would win
Coastlinekm · Higher wins ↑
3,444
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
21.7° N
13.4° S
Would lose
23
Round 23Won35 countries · 4 lives left
PolandvsGhana
Wealth per person: 48,473 vs 7,563 int’l $ · Higher wins ↑
Conquered Ghana.
Other category comparisons 3 other winning choices
All eight categories for Poland against Ghana
Category
Poland
Ghana
Result
Areakm² · Higher wins ↑
312,685
238,533
Would win
Populationpeople · Higher wins ↑
36,687,353
33,787,914
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
48,473
7,563
Would win
Densityper km² · Higher wins ↑
117.3
141.6
Would lose
Highest peakm · Higher wins ↑
2,499
885
Would win
Coastlinekm · Higher wins ↑
440
539
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.9° N
7.0° N
Would lose
24
Round 24Won36 countries · 4 lives left
BahamasvsQatar
Flag colours: 3 vs 2 colours · Higher wins ↑
Conquered Qatar.
Other category comparisons 3 other winning choices
All eight categories for Bahamas against Qatar
Category
Bahamas
Qatar
Result
Areakm² · Higher wins ↑
13,880
11,586
Would win
Populationpeople · Higher wins ↑
399,440
2,656,032
Would lose
Wealth per personint’l $ · Higher wins ↑
39,122
129,025
Would lose
Densityper km² · Higher wins ↑
28.8
229.2
Would lose
Highest peakm · Higher wins ↑
64
103
Would lose
Coastlinekm · Higher wins ↑
3,542
563
Would win
Flag colourscolours · Higher wins ↑ · Chosen
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
24.7° N
25.1° N
Would win
25
Round 25Won37 countries · 4 lives left
IrelandvsHungary
Wealth per person: 133,440 vs 46,376 int’l $ · Higher wins ↑
Conquered Hungary.
Other category comparisons 2 other winning choices
All eight categories for Ireland against Hungary
Category
Ireland
Hungary
Result
Areakm² · Higher wins ↑
70,273
93,028
Would lose
Populationpeople · Higher wins ↑
5,311,538
9,592,186
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
133,440
46,376
Would win
Densityper km² · Higher wins ↑
75.6
103.1
Would lose
Highest peakm · Higher wins ↑
1,041
1,014
Would win
Coastlinekm · Higher wins ↑
1,448
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
53.1° N
47.3° N
Would lose
26
Round 26Lost36 countries · 3 lives left
BelizevsSri Lanka
Wealth per person: 13,741 vs 14,512 int’l $ · Higher wins ↑
Returned to the world: Belize.
Other category comparisons 1 other winning choice
All eight categories for Belize against Sri Lanka
Category
Belize
Sri Lanka
Result
Areakm² · Higher wins ↑
22,966
65,610
Would lose
Populationpeople · Higher wins ↑
411,106
22,037,000
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
13,741
14,512
Would lose
Densityper km² · Higher wins ↑
17.9
335.9
Would lose
Highest peakm · Higher wins ↑
1,124
2,524
Would lose
Coastlinekm · Higher wins ↑
386
1,340
Would lose
Flag colourscolours · Higher wins ↑
12
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.0° N
7.1° N
Would lose
27
Round 27Won37 countries · 3 lives left
DenmarkvsEl Salvador
Wealth per person: 77,425 vs 12,667 int’l $ · Higher wins ↑
Conquered El Salvador.
Other category comparisons 2 other winning choices
All eight categories for Denmark against El Salvador
Category
Denmark
El Salvador
Result
Areakm² · Higher wins ↑
43,094
21,041
Would win
Populationpeople · Higher wins ↑
5,946,952
6,309,624
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
77,425
12,667
Would win
Densityper km² · Higher wins ↑
138.0
299.9
Would lose
Highest peakm · Higher wins ↑
171
2,730
Would lose
Coastlinekm · Higher wins ↑
7,314
307
Would win
Flag colourscolours · Higher wins ↑
2
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.9° N
13.9° N
Would lose
28
Round 28Won38 countries · 3 lives left
Guinea-BissauvsAlgeria
Proximity to equator: 12.1° N vs 27.4° N from the equator · Closer wins ↓
Conquered Algeria.
Other category comparisons 2 other winning choices
All eight categories for Guinea-Bissau against Algeria
Category
Guinea-Bissau
Algeria
Result
Areakm² · Higher wins ↑
36,125
2,381,740
Would lose
Populationpeople · Higher wins ↑
2,153,339
46,164,219
Would lose
Wealth per personint’l $ · Higher wins ↑
2,956
16,838
Would lose
Densityper km² · Higher wins ↑
59.6
19.4
Would win
Highest peakm · Higher wins ↑
277
2,908
Would lose
Coastlinekm · Higher wins ↑
350
998
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.1° N
27.4° N
Would win
29
Round 29Won39 countries · 3 lives left
CameroonvsChad
Coastline: 402 vs 0 km · Higher wins ↑
Conquered Chad.
Other category comparisons 5 other winning choices
All eight categories for Cameroon against Chad
Category
Cameroon
Chad
Result
Areakm² · Higher wins ↑
475,440
1,284,000
Would lose
Populationpeople · Higher wins ↑
28,372,687
19,319,064
Would win
Wealth per personint’l $ · Higher wins ↑
5,415
2,703
Would win
Densityper km² · Higher wins ↑
59.7
15.0
Would win
Highest peakm · Higher wins ↑
4,045
3,445
Would win
Coastlinekm · Higher wins ↑ · Chosen
402
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
17.3° N
Would win
30
Round 30Won40 countries · 3 lives left
MauritiusvsAngola
Density: 612.1 vs 29.5 per km² · Higher wins ↑
Conquered Angola.
Other category comparisons 2 other winning choices
All eight categories for Mauritius against Angola
Category
Mauritius
Angola
Result
Areakm² · Higher wins ↑
2,040
1,246,700
Would lose
Populationpeople · Higher wins ↑
1,248,647
36,749,906
Would lose
Wealth per personint’l $ · Higher wins ↑
29,403
9,550
Would win
Densityper km² · Higher wins ↑ · Chosen
612.1
29.5
Would win
Highest peakm · Higher wins ↑
828
2,620
Would lose
Coastlinekm · Higher wins ↑
177
1,600
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
20.3° S
13.2° S
Would lose
31
Round 31Won41 countries · 3 lives left
MongoliavsThailand
Area: 1,564,116 vs 513,120 km² · Higher wins ↑
Conquered Thailand.
Other category comparisons 1 other winning choice
All eight categories for Mongolia against Thailand
Category
Mongolia
Thailand
Result
Areakm² · Higher wins ↑ · Chosen
1,564,116
513,120
Would win
Populationpeople · Higher wins ↑
3,481,145
71,702,435
Would lose
Wealth per personint’l $ · Higher wins ↑
18,020
23,598
Would lose
Densityper km² · Higher wins ↑
2.2
139.7
Would lose
Highest peakm · Higher wins ↑
4,374
2,565
Would win
Coastlinekm · Higher wins ↑
0
3,219
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
46.0° N
15.5° N
Would lose
32
Round 32Won42 countries · 3 lives left
CyprusvsAzerbaijan
Coastline: 648 vs 0 km · Higher wins ↑
Conquered Azerbaijan.
Other category comparisons 3 other winning choices
All eight categories for Cyprus against Azerbaijan
Category
Cyprus
Azerbaijan
Result
Areakm² · Higher wins ↑
9,251
86,600
Would lose
Populationpeople · Higher wins ↑
1,344,976
10,153,958
Would lose
Wealth per personint’l $ · Higher wins ↑
59,875
23,671
Would win
Densityper km² · Higher wins ↑
145.4
117.3
Would win
Highest peakm · Higher wins ↑
1,951
4,466
Would lose
Coastlinekm · Higher wins ↑ · Chosen
648
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
34.9° N
40.5° N
Would win
33
Round 33Won43 countries · 3 lives left
NicaraguavsNorth Macedonia
Population: 6,823,613 vs 1,827,816 people · Higher wins ↑
Conquered North Macedonia.
Other category comparisons 4 other winning choices
All eight categories for Nicaragua against North Macedonia
Category
Nicaragua
North Macedonia
Result
Areakm² · Higher wins ↑
130,370
25,713
Would win
Populationpeople · Higher wins ↑ · Chosen
6,823,613
1,827,816
Would win
Wealth per personint’l $ · Higher wins ↑
8,327
25,354
Would lose
Densityper km² · Higher wins ↑
52.3
71.1
Would lose
Highest peakm · Higher wins ↑
2,085
2,764
Would lose
Coastlinekm · Higher wins ↑
910
0
Would win
Flag colourscolours · Higher wins ↑
10
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.6° N
41.5° N
Would win
34
Round 34Won44 countries · 3 lives left
South KoreavsNorth Korea
Proximity to equator: 36.3° N vs 39.9° N from the equator · Closer wins ↓
Conquered North Korea.
Other category comparisons 3 other winning choices
All eight categories for South Korea against North Korea
Category
South Korea
North Korea
Result
Areakm² · Higher wins ↑
99,720
120,538
Would lose
Populationpeople · Higher wins ↑
51,712,619
26,418,204
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
57,430
Unavailable
Unavailable
Densityper km² · Higher wins ↑
518.6
219.2
Would win
Highest peakm · Higher wins ↑
1,950
2,744
Would lose
Coastlinekm · Higher wins ↑
2,413
2,495
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
36.3° N
39.9° N
Would win
35
Round 35Won45 countries · 3 lives left
MexicovsSierra Leone
Population: 129,739,759 vs 8,460,512 people · Higher wins ↑
Conquered Sierra Leone.
Other category comparisons 5 other winning choices
All eight categories for Mexico against Sierra Leone
Category
Mexico
Sierra Leone
Result
Areakm² · Higher wins ↑
1,964,375
71,740
Would win
Populationpeople · Higher wins ↑ · Chosen
129,739,759
8,460,512
Would win
Wealth per personint’l $ · Higher wins ↑
25,188
3,371
Would win
Densityper km² · Higher wins ↑
66.0
117.9
Would lose
Highest peakm · Higher wins ↑
5,636
1,948
Would win
Coastlinekm · Higher wins ↑
9,330
402
Would win
Flag colourscolours · Higher wins ↑
11
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
8.7° N
Would lose
36
Round 36Won46 countries · 3 lives left
Cabo VerdevsNepal
Coastline: 965 vs 0 km · Higher wins ↑
Conquered Nepal.
Other category comparisons 3 other winning choices
All eight categories for Cabo Verde against Nepal
Category
Cabo Verde
Nepal
Result
Areakm² · Higher wins ↑
4,033
147,181
Would lose
Populationpeople · Higher wins ↑
522,331
29,694,614
Would lose
Wealth per personint’l $ · Higher wins ↑
10,251
5,400
Would win
Densityper km² · Higher wins ↑
129.5
201.8
Would lose
Highest peakm · Higher wins ↑
2,829
8,849
Would lose
Coastlinekm · Higher wins ↑ · Chosen
965
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.0° N
29.0° N
Would win
37
Round 37Won47 countries · 3 lives left
IndonesiavsJapan
Population: 281,190,067 vs 124,516,650 people · Higher wins ↑
Conquered Japan.
Other category comparisons 4 other winning choices
All eight categories for Indonesia against Japan
Category
Indonesia
Japan
Result
Areakm² · Higher wins ↑
1,904,569
377,915
Would win
Populationpeople · Higher wins ↑ · Chosen
281,190,067
124,516,650
Would win
Wealth per personint’l $ · Higher wins ↑
15,428
52,726
Would lose
Densityper km² · Higher wins ↑
147.6
329.5
Would lose
Highest peakm · Higher wins ↑
4,884
3,776
Would win
Coastlinekm · Higher wins ↑
54,716
29,751
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
1.0° S
36.7° N
Would win
38
Round 38Won48 countries · 3 lives left
JordanvsMaldives
Area: 89,342 vs 298 km² · Higher wins ↑
Conquered Maldives.
Other category comparisons 3 other winning choices
All eight categories for Jordan against Maldives
Category
Jordan
Maldives
Result
Areakm² · Higher wins ↑ · Chosen
89,342
298
Would win
Populationpeople · Higher wins ↑
11,439,213
525,994
Would win
Wealth per personint’l $ · Higher wins ↑
11,451
24,807
Would lose
Densityper km² · Higher wins ↑
128.0
1,765.1
Would lose
Highest peakm · Higher wins ↑
1,854
5
Would win
Coastlinekm · Higher wins ↑
26
644
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
30.7° N
3.3° N
Would lose
39
Round 39Won49 countries · 3 lives left
PakistanvsBangladesh
Area: 796,095 vs 148,460 km² · Higher wins ↑
Conquered Bangladesh.
Other category comparisons 3 other winning choices
All eight categories for Pakistan against Bangladesh
Category
Pakistan
Bangladesh
Result
Areakm² · Higher wins ↑ · Chosen
796,095
148,460
Would win
Populationpeople · Higher wins ↑
247,504,495
171,466,990
Would win
Wealth per personint’l $ · Higher wins ↑
6,019
9,155
Would lose
Densityper km² · Higher wins ↑
310.9
1,155.0
Would lose
Highest peakm · Higher wins ↑
8,611
1,060
Would win
Coastlinekm · Higher wins ↑
1,046
580
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
27.8° N
24.3° N
Would lose
40
Round 40Won50 countries · 3 lives left
KuwaitvsTimor-Leste
Wealth per person: 53,083 vs 4,811 int’l $ · Higher wins ↑
Conquered Timor-Leste.
Other category comparisons 3 other winning choices
All eight categories for Kuwait against Timor-Leste
Category
Kuwait
Timor-Leste
Result
Areakm² · Higher wins ↑
17,818
14,874
Would win
Populationpeople · Higher wins ↑
4,853,420
1,384,286
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
53,083
4,811
Would win
Densityper km² · Higher wins ↑
272.4
93.1
Would win
Highest peakm · Higher wins ↑
300
2,963
Would lose
Coastlinekm · Higher wins ↑
499
706
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
Comorosvs
Yemen
Vietnam
Malawi
Poland
Ghana
Bahamas
Qatar
Ireland
Hungary
Belize
Sri Lanka
Denmark
El Salvador
Guinea-Bissau
Algeria
Cameroon
Chad
Mauritius
Angola
Mongolia
Thailand
Cyprus
Azerbaijan
Nicaragua
North Macedonia
South Korea
North Korea
Mexico
Sierra Leone
Cabo Verde
Nepal
Indonesia
Japan
Jordan
Maldives
Pakistan
Bangladesh
Kuwait
Timor-Leste