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Untimed expedition · Data edition 01051846d672
29Wins
2Losses
0Ties
Explore the final empire · 39 countries
No countries match your search.
The path through the world
One choice at a time.
31 rounds
Where it began · 12 countries
Bangladesh · Morocco · South Sudan · Switzerland · Venezuela · Nigeria · Iceland · France · Malawi · Finland · Malta · Gabon
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
BangladeshvsCanada
Population: 171,466,990 vs 40,049,088 people · Higher wins ↑
Conquered Canada.
Other category comparisons 2 other winning choices
All eight categories for Bangladesh against Canada
Category
Bangladesh
Canada
Result
Areakm² · Higher wins ↑
148,460
9,984,670
Would lose
Populationpeople · Higher wins ↑ · Chosen
171,466,990
40,049,088
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
64,962
Would lose
Densityper km² · Higher wins ↑
1,155.0
4.0
Would win
Highest peakm · Higher wins ↑
1,060
5,959
Would lose
Coastlinekm · Higher wins ↑
580
202,080
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
58.8° N
Would win
2
Round 2Won14 countries · 4 lives left
MoroccovsBurundi
Area: 446,550 vs 27,830 km² · Higher wins ↑
Conquered Burundi.
Other category comparisons 4 other winning choices
All eight categories for Morocco against Burundi
Category
Morocco
Burundi
Result
Areakm² · Higher wins ↑ · Chosen
446,550
27,830
Would win
Populationpeople · Higher wins ↑
37,712,505
13,689,450
Would win
Wealth per personint’l $ · Higher wins ↑
9,903
1,147
Would win
Densityper km² · Higher wins ↑
84.5
491.9
Would lose
Highest peakm · Higher wins ↑
4,165
2,685
Would win
Coastlinekm · Higher wins ↑
1,835
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
31.9° N
3.4° S
Would lose
3
Round 3Won15 countries · 4 lives left
South SudanvsQatar
Area: 644,329 vs 11,586 km² · Higher wins ↑
Conquered Qatar.
Other category comparisons 4 other winning choices
All eight categories for South Sudan against Qatar
Category
South Sudan
Qatar
Result
Areakm² · Higher wins ↑ · Chosen
644,329
11,586
Would win
Populationpeople · Higher wins ↑
11,483,374
2,656,032
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
129,025
Unavailable
Densityper km² · Higher wins ↑
17.8
229.2
Would lose
Highest peakm · Higher wins ↑
3,187
103
Would win
Coastlinekm · Higher wins ↑
0
563
Would lose
Flag colourscolours · Higher wins ↑
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
25.1° N
Would win
4
Round 4Won16 countries · 4 lives left
SwitzerlandvsCroatia
Wealth per person: 93,940 vs 47,760 int’l $ · Higher wins ↑
Conquered Croatia.
Other category comparisons 3 other winning choices
All eight categories for Switzerland against Croatia
Category
Switzerland
Croatia
Result
Areakm² · Higher wins ↑
41,277
56,594
Would lose
Populationpeople · Higher wins ↑
8,888,822
3,859,686
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
93,940
47,760
Would win
Densityper km² · Higher wins ↑
215.3
68.2
Would win
Highest peakm · Higher wins ↑
4,634
1,831
Would win
Coastlinekm · Higher wins ↑
0
5,835
Would lose
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
45.8° N
Would lose
5
Round 5Won17 countries · 4 lives left
VenezuelavsNetherlands
Area: 912,050 vs 41,543 km² · Higher wins ↑
Conquered Netherlands.
Other category comparisons 5 other winning choices
All eight categories for Venezuela against Netherlands
Category
Venezuela
Netherlands
Result
Areakm² · Higher wins ↑ · Chosen
912,050
41,543
Would win
Populationpeople · Higher wins ↑
28,300,854
17,877,117
Would win
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
Unavailable
80,392
Unavailable
Densityper km² · Higher wins ↑
31.0
430.3
Would lose
Highest peakm · Higher wins ↑
4,978
322
Would win
Coastlinekm · Higher wins ↑
2,800
451
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.2° N
52.2° N
Would win
6
Round 6Won18 countries · 4 lives left
NigeriavsBosnia and Herzegovina
Population: 227,882,945 vs 3,185,073 people · Higher wins ↑
Conquered Bosnia and Herzegovina.
Other category comparisons 5 other winning choices
All eight categories for Nigeria against Bosnia and Herzegovina
Category
Nigeria
Bosnia and Herzegovina
Result
Areakm² · Higher wins ↑
923,768
51,197
Would win
Populationpeople · Higher wins ↑ · Chosen
227,882,945
3,185,073
Would win
Wealth per personint’l $ · Higher wins ↑
8,712
23,376
Would lose
Densityper km² · Higher wins ↑
246.7
62.2
Would win
Highest peakm · Higher wins ↑
2,419
2,386
Would win
Coastlinekm · Higher wins ↑
853
20
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
9.4° N
44.1° N
Would win
7
Round 7Won19 countries · 4 lives left
IcelandvsThailand
Wealth per person: 82,257 vs 23,598 int’l $ · Higher wins ↑
Conquered Thailand.
Other category comparisons 1 other winning choice
All eight categories for Iceland against Thailand
Category
Iceland
Thailand
Result
Areakm² · Higher wins ↑
103,000
513,120
Would lose
Populationpeople · Higher wins ↑
385,663
71,702,435
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
82,257
23,598
Would win
Densityper km² · Higher wins ↑
3.7
139.7
Would lose
Highest peakm · Higher wins ↑
2,110
2,565
Would lose
Coastlinekm · Higher wins ↑
4,970
3,219
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
64.7° N
15.5° N
Would lose
8
Round 8Won20 countries · 4 lives left
FrancevsZimbabwe
Population: 65,925,961 vs 16,340,822 people · Higher wins ↑
Conquered Zimbabwe.
Other category comparisons 5 other winning choices
All eight categories for France against Zimbabwe
Category
France
Zimbabwe
Result
Areakm² · Higher wins ↑
551,500
390,757
Would win
Populationpeople · Higher wins ↑ · Chosen
65,925,961
16,340,822
Would win
Wealth per personint’l $ · Higher wins ↑
60,927
5,796
Would win
Densityper km² · Higher wins ↑
119.5
41.8
Would win
Highest peakm · Higher wins ↑
4,810
2,592
Would win
Coastlinekm · Higher wins ↑
3,427
0
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
19.0° S
Would lose
9
Round 9Won21 countries · 4 lives left
MalawivsIndia
Proximity to equator: 13.4° S vs 22.4° N from the equator · Closer wins ↓
Conquered India.
Other category comparisons 0 other winning choices
All eight categories for Malawi against India
Category
Malawi
India
Result
Areakm² · Higher wins ↑
118,484
3,287,263
Would lose
Populationpeople · Higher wins ↑
21,104,482
1,438,069,596
Would lose
Wealth per personint’l $ · Higher wins ↑
1,832
9,853
Would lose
Densityper km² · Higher wins ↑
178.1
437.5
Would lose
Highest peakm · Higher wins ↑
3,002
8,586
Would lose
Coastlinekm · Higher wins ↑
0
7,000
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.4° S
22.4° N
Would win
10
Round 10Won22 countries · 4 lives left
FinlandvsDominican Republic
Area: 338,145 vs 48,670 km² · Higher wins ↑
Conquered Dominican Republic.
Other category comparisons 1 other winning choice
All eight categories for Finland against Dominican Republic
Category
Finland
Dominican Republic
Result
Areakm² · Higher wins ↑ · Chosen
338,145
48,670
Would win
Populationpeople · Higher wins ↑
5,583,911
11,331,265
Would lose
Wealth per personint’l $ · Higher wins ↑
63,467
25,861
Would win
Densityper km² · Higher wins ↑
16.5
232.8
Would lose
Highest peakm · Higher wins ↑
1,328
3,098
Would lose
Coastlinekm · Higher wins ↑
1,250
1,288
Would lose
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
63.3° N
19.1° N
Would lose
11
Round 11Won23 countries · 4 lives left
MaltavsRepublic of the Congo
Density: 1,749.2 vs 18.1 per km² · Higher wins ↑
Conquered Republic of the Congo.
Other category comparisons 2 other winning choices
All eight categories for Malta against Republic of the Congo
Category
Malta
Republic of the Congo
Result
Areakm² · Higher wins ↑
316
342,000
Would lose
Populationpeople · Higher wins ↑
552,747
6,182,885
Would lose
Wealth per personint’l $ · Higher wins ↑
67,101
6,856
Would win
Densityper km² · Higher wins ↑ · Chosen
1,749.2
18.1
Would win
Highest peakm · Higher wins ↑
253
1,020
Would lose
Coastlinekm · Higher wins ↑
196.8
169
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
35.9° N
0.1° N
Would lose
12
Round 12Won24 countries · 4 lives left
GabonvsAustralia
Proximity to equator: 0.6° S vs 23.1° S from the equator · Closer wins ↓
Conquered Australia.
Other category comparisons 1 other winning choice
All eight categories for Gabon against Australia
Category
Gabon
Australia
Result
Areakm² · Higher wins ↑
267,667
7,741,220
Would lose
Populationpeople · Higher wins ↑
2,484,789
26,659,922
Would lose
Wealth per personint’l $ · Higher wins ↑
20,773
72,273
Would lose
Densityper km² · Higher wins ↑
9.3
3.4
Would win
Highest peakm · Higher wins ↑
1,050
2,228
Would lose
Coastlinekm · Higher wins ↑
885
25,760
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.6° S
23.1° S
Would win
13
Round 13Won25 countries · 4 lives left
BangladeshvsMexico
Population: 171,466,990 vs 129,739,759 people · Higher wins ↑
Conquered Mexico.
Other category comparisons 1 other winning choice
All eight categories for Bangladesh against Mexico
Category
Bangladesh
Mexico
Result
Areakm² · Higher wins ↑
148,460
1,964,375
Would lose
Populationpeople · Higher wins ↑ · Chosen
171,466,990
129,739,759
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
25,188
Would lose
Densityper km² · Higher wins ↑
1,155.0
66.0
Would win
Highest peakm · Higher wins ↑
1,060
5,636
Would lose
Coastlinekm · Higher wins ↑
580
9,330
Would lose
Flag colourscolours · Higher wins ↑
2
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
23.5° N
Would lose
14
Round 14Won26 countries · 4 lives left
CanadavsUruguay
Area: 9,984,670 vs 176,215 km² · Higher wins ↑
Conquered Uruguay.
Other category comparisons 4 other winning choices
All eight categories for Canada against Uruguay
Category
Canada
Uruguay
Result
Areakm² · Higher wins ↑ · Chosen
9,984,670
176,215
Would win
Populationpeople · Higher wins ↑
40,049,088
3,388,081
Would win
Wealth per personint’l $ · Higher wins ↑
64,962
34,546
Would win
Densityper km² · Higher wins ↑
4.0
19.2
Would lose
Highest peakm · Higher wins ↑
5,959
514
Would win
Coastlinekm · Higher wins ↑
202,080
660
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
58.8° N
32.9° S
Would lose
15
Round 15Won27 countries · 4 lives left
MoroccovsPalestine
Area: 446,550 vs 6,220 km² · Higher wins ↑
Conquered Palestine.
Other category comparisons 5 other winning choices
All eight categories for Morocco against Palestine
Category
Morocco
Palestine
Result
Areakm² · Higher wins ↑ · Chosen
446,550
6,220
Would win
Populationpeople · Higher wins ↑
37,712,505
5,165,775
Would win
Wealth per personint’l $ · Higher wins ↑
9,903
6,179
Would win
Densityper km² · Higher wins ↑
84.5
830.5
Would lose
Highest peakm · Higher wins ↑
4,165
1,020
Would win
Coastlinekm · Higher wins ↑
1,835
40
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
31.9° N
32.1° N
Would win
16
Round 16Won28 countries · 4 lives left
BurundivsSolomon Islands
Highest peak: 2,685 vs 2,335 m · Higher wins ↑
Conquered Solomon Islands.
Other category comparisons 3 other winning choices
All eight categories for Burundi against Solomon Islands
Category
Burundi
Solomon Islands
Result
Areakm² · Higher wins ↑
27,830
28,896
Would lose
Populationpeople · Higher wins ↑
13,689,450
800,005
Would win
Wealth per personint’l $ · Higher wins ↑
1,147
2,599
Would lose
Densityper km² · Higher wins ↑
491.9
27.7
Would win
Highest peakm · Higher wins ↑ · Chosen
2,685
2,335
Would win
Coastlinekm · Higher wins ↑
0
5,313
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
3.4° S
9.6° S
Would win
17
Round 17Won29 countries · 4 lives left
South SudanvsSouth Africa
Proximity to equator: 7.1° N vs 30.2° S from the equator · Closer wins ↓
Conquered South Africa.
Other category comparisons 0 other winning choices
All eight categories for South Sudan against South Africa
Category
South Sudan
South Africa
Result
Areakm² · Higher wins ↑
644,329
1,219,090
Would lose
Populationpeople · Higher wins ↑
11,483,374
63,212,384
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
15,212
Unavailable
Densityper km² · Higher wins ↑
17.8
51.9
Would lose
Highest peakm · Higher wins ↑
3,187
3,450
Would lose
Coastlinekm · Higher wins ↑
0
2,798
Would lose
Flag colourscolours · Higher wins ↑
6
6
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.1° N
30.2° S
Would win
18
Round 18Won30 countries · 4 lives left
QatarvsPoland
Proximity to equator: 25.1° N vs 51.9° N from the equator · Closer wins ↓
Conquered Poland.
Other category comparisons 3 other winning choices
All eight categories for Qatar against Poland
Category
Qatar
Poland
Result
Areakm² · Higher wins ↑
11,586
312,685
Would lose
Populationpeople · Higher wins ↑
2,656,032
36,687,353
Would lose
Wealth per personint’l $ · Higher wins ↑
129,025
48,473
Would win
Densityper km² · Higher wins ↑
229.2
117.3
Would win
Highest peakm · Higher wins ↑
103
2,499
Would lose
Coastlinekm · Higher wins ↑
563
440
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
25.1° N
51.9° N
Would win
19
Round 19Won31 countries · 4 lives left
SwitzerlandvsKazakhstan
Wealth per person: 93,940 vs 38,547 int’l $ · Higher wins ↑
Conquered Kazakhstan.
Other category comparisons 2 other winning choices
All eight categories for Switzerland against Kazakhstan
Category
Switzerland
Kazakhstan
Result
Areakm² · Higher wins ↑
41,277
2,724,900
Would lose
Populationpeople · Higher wins ↑
8,888,822
20,330,104
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
93,940
38,547
Would win
Densityper km² · Higher wins ↑
215.3
7.5
Would win
Highest peakm · Higher wins ↑
4,634
7,010
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
48.5° N
Would win
20
Round 20Won32 countries · 4 lives left
CroatiavsSlovakia
Proximity to equator: 45.8° N vs 48.7° N from the equator · Closer wins ↓
Conquered Slovakia.
Other category comparisons 4 other winning choices
All eight categories for Croatia against Slovakia
Category
Croatia
Slovakia
Result
Areakm² · Higher wins ↑
56,594
49,035
Would win
Populationpeople · Higher wins ↑
3,859,686
5,426,740
Would lose
Wealth per personint’l $ · Higher wins ↑
47,760
45,865
Would win
Densityper km² · Higher wins ↑
68.2
110.7
Would lose
Highest peakm · Higher wins ↑
1,831
2,655
Would lose
Coastlinekm · Higher wins ↑
5,835
0
Would win
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
Bangladeshvs
Canada
Morocco
Burundi
South Sudan
Qatar
Switzerland
Croatia
Venezuela
Netherlands
Nigeria
Bosnia and Herzegovina
Iceland
Thailand
France
Zimbabwe
Malawi
India
Finland
Dominican Republic
Malta
Republic of the Congo
Gabon
Australia
Mexico
Uruguay
Palestine
Solomon Islands
South Africa
Poland
Kazakhstan
Slovakia