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Untimed expedition · Data edition 01051846d672
26Wins
2Losses
0Ties
Explore the final empire · 36 countries
No countries match your search.
The path through the world
One choice at a time.
28 rounds
Where it began · 12 countries
Trinidad and Tobago · Croatia · Guinea · Pakistan · Venezuela · Haiti · Bolivia · Uruguay · China · Nepal · North Korea · Palestine
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
Trinidad and TobagovsZambia
Density: 266.7 vs 27.5 per km² · Higher wins ↑
Conquered Zambia.
Other category comparisons 3 other winning choices
All eight categories for Trinidad and Tobago against Zambia
Category
Trinidad and Tobago
Zambia
Result
Areakm² · Higher wins ↑
5,128
752,618
Would lose
Populationpeople · Higher wins ↑
1,367,510
20,723,965
Would lose
Wealth per personint’l $ · Higher wins ↑
34,652
4,080
Would win
Densityper km² · Higher wins ↑ · Chosen
266.7
27.5
Would win
Highest peakm · Higher wins ↑
940
2,330
Would lose
Coastlinekm · Higher wins ↑
362
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
10.3° N
14.7° S
Would win
2
Round 2Won14 countries · 4 lives left
CroatiavsIndia
Wealth per person: 47,760 vs 9,853 int’l $ · Higher wins ↑
Conquered India.
Other category comparisons 1 other winning choice
All eight categories for Croatia against India
Category
Croatia
India
Result
Areakm² · Higher wins ↑
56,594
3,287,263
Would lose
Populationpeople · Higher wins ↑
3,859,686
1,438,069,596
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
47,760
9,853
Would win
Densityper km² · Higher wins ↑
68.2
437.5
Would lose
Highest peakm · Higher wins ↑
1,831
8,586
Would lose
Coastlinekm · Higher wins ↑
5,835
7,000
Would lose
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
45.8° N
22.4° N
Would lose
3
Round 3Won15 countries · 4 lives left
GuineavsUkraine
Proximity to equator: 10.7° N vs 49.6° N from the equator · Closer wins ↓
Conquered Ukraine.
Other category comparisons 1 other winning choice
All eight categories for Guinea against Ukraine
Category
Guinea
Ukraine
Result
Areakm² · Higher wins ↑
245,857
603,550
Would lose
Populationpeople · Higher wins ↑
14,405,468
37,732,836
Would lose
Wealth per personint’l $ · Higher wins ↑
4,337
17,680
Would lose
Densityper km² · Higher wins ↑
58.6
62.5
Would lose
Highest peakm · Higher wins ↑
1,752
2,061
Would lose
Coastlinekm · Higher wins ↑
320
2,782
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.7° N
49.6° N
Would win
4
Round 4Won16 countries · 4 lives left
PakistanvsSomalia
Population: 247,504,495 vs 18,358,615 people · Higher wins ↑
Conquered Somalia.
Other category comparisons 4 other winning choices
All eight categories for Pakistan against Somalia
Category
Pakistan
Somalia
Result
Areakm² · Higher wins ↑
796,095
637,657
Would win
Populationpeople · Higher wins ↑ · Chosen
247,504,495
18,358,615
Would win
Wealth per personint’l $ · Higher wins ↑
6,019
1,557
Would win
Densityper km² · Higher wins ↑
310.9
28.8
Would win
Highest peakm · Higher wins ↑
8,611
2,460
Would win
Coastlinekm · Higher wins ↑
1,046
3,025
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
27.8° N
2.6° N
Would lose
5
Round 5Won17 countries · 4 lives left
VenezuelavsPoland
Proximity to equator: 7.2° N vs 51.9° N from the equator · Closer wins ↓
Conquered Poland.
Other category comparisons 4 other winning choices
All eight categories for Venezuela against Poland
Category
Venezuela
Poland
Result
Areakm² · Higher wins ↑
912,050
312,685
Would win
Populationpeople · Higher wins ↑
28,300,854
36,687,353
Would lose
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
Unavailable
48,473
Unavailable
Densityper km² · Higher wins ↑
31.0
117.3
Would lose
Highest peakm · Higher wins ↑
4,978
2,499
Would win
Coastlinekm · Higher wins ↑
2,800
440
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.2° N
51.9° N
Would win
6
Round 6Won18 countries · 4 lives left
HaitivsRomania
Density: 419.4 vs 80.0 per km² · Higher wins ↑
Conquered Romania.
Other category comparisons 4 other winning choices
All eight categories for Haiti against Romania
Category
Haiti
Romania
Result
Areakm² · Higher wins ↑
27,750
238,391
Would lose
Populationpeople · Higher wins ↑
11,637,398
19,061,062
Would lose
Wealth per personint’l $ · Higher wins ↑
3,265
45,982
Would lose
Densityper km² · Higher wins ↑ · Chosen
419.4
80.0
Would win
Highest peakm · Higher wins ↑
2,674
2,544
Would win
Coastlinekm · Higher wins ↑
1,771
225
Would win
Flag colourscolours · Higher wins ↑
7
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.2° N
45.7° N
Would win
7
Round 7Won19 countries · 4 lives left
BoliviavsYemen
Highest peak: 6,542 vs 3,666 m · Higher wins ↑
Conquered Yemen.
Other category comparisons 2 other winning choices
All eight categories for Bolivia against Yemen
Category
Bolivia
Yemen
Result
Areakm² · Higher wins ↑
1,098,581
527,968
Would win
Populationpeople · Higher wins ↑
12,244,159
39,390,799
Would lose
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
12,903
Unavailable
Unavailable
Densityper km² · Higher wins ↑
11.1
74.6
Would lose
Highest peakm · Higher wins ↑ · Chosen
6,542
3,666
Would win
Coastlinekm · Higher wins ↑
0
1,906
Would lose
Flag colourscolours · Higher wins ↑
9
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.7° S
15.3° N
Would lose
8
Round 8Won20 countries · 4 lives left
UruguayvsDjibouti
Wealth per person: 34,546 vs 7,232 int’l $ · Higher wins ↑
Conquered Djibouti.
Other category comparisons 3 other winning choices
All eight categories for Uruguay against Djibouti
Category
Uruguay
Djibouti
Result
Areakm² · Higher wins ↑
176,215
23,200
Would win
Populationpeople · Higher wins ↑
3,388,081
1,152,944
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
34,546
7,232
Would win
Densityper km² · Higher wins ↑
19.2
49.7
Would lose
Highest peakm · Higher wins ↑
514
2,021
Would lose
Coastlinekm · Higher wins ↑
660
314
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
32.9° S
11.4° N
Would lose
9
Round 9Won21 countries · 4 lives left
ChinavsGreece
Population: 1,410,710,000 vs 10,407,351 people · Higher wins ↑
Conquered Greece.
Other category comparisons 5 other winning choices
All eight categories for China against Greece
Category
China
Greece
Result
Areakm² · Higher wins ↑
9,596,960
131,957
Would win
Populationpeople · Higher wins ↑ · Chosen
1,410,710,000
10,407,351
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
42,614
Would lose
Densityper km² · Higher wins ↑
147.0
78.9
Would win
Highest peakm · Higher wins ↑
8,849
2,917
Would win
Coastlinekm · Higher wins ↑
14,500
13,676
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
39.8° N
Would win
10
Round 10Won22 countries · 4 lives left
NepalvsSouth Sudan
Highest peak: 8,849 vs 3,187 m · Higher wins ↑
Conquered South Sudan.
Other category comparisons 2 other winning choices
All eight categories for Nepal against South Sudan
Category
Nepal
South Sudan
Result
Areakm² · Higher wins ↑
147,181
644,329
Would lose
Populationpeople · Higher wins ↑
29,694,614
11,483,374
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
5,400
Unavailable
Unavailable
Densityper km² · Higher wins ↑
201.8
17.8
Would win
Highest peakm · Higher wins ↑ · Chosen
8,849
3,187
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
29.0° N
7.1° N
Would lose
11
Round 11Won23 countries · 4 lives left
North KoreavsDR Congo
Density: 219.2 vs 45.1 per km² · Higher wins ↑
Conquered DR Congo.
Other category comparisons 1 other winning choice
All eight categories for North Korea against DR Congo
Category
North Korea
DR Congo
Result
Areakm² · Higher wins ↑
120,538
2,344,858
Would lose
Populationpeople · Higher wins ↑
26,418,204
105,789,731
Would lose
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
1,732
Unavailable
Densityper km² · Higher wins ↑ · Chosen
219.2
45.1
Would win
Highest peakm · Higher wins ↑
2,744
5,110
Would lose
Coastlinekm · Higher wins ↑
2,495
37
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
1.9° S
Would lose
12
Round 12Won24 countries · 4 lives left
PalestinevsGeorgia
Density: 830.5 vs 53.3 per km² · Higher wins ↑
Conquered Georgia.
Other category comparisons 3 other winning choices
All eight categories for Palestine against Georgia
Category
Palestine
Georgia
Result
Areakm² · Higher wins ↑
6,220
69,700
Would lose
Populationpeople · Higher wins ↑
5,165,775
3,715,483
Would win
Wealth per personint’l $ · Higher wins ↑
6,179
25,093
Would lose
Densityper km² · Higher wins ↑ · Chosen
830.5
53.3
Would win
Highest peakm · Higher wins ↑
1,020
5,193
Would lose
Coastlinekm · Higher wins ↑
40
310
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
42.4° N
Would win
13
Round 13Won25 countries · 4 lives left
Trinidad and TobagovsCabo Verde
Area: 5,128 vs 4,033 km² · Higher wins ↑
Conquered Cabo Verde.
Other category comparisons 4 other winning choices
All eight categories for Trinidad and Tobago against Cabo Verde
Category
Trinidad and Tobago
Cabo Verde
Result
Areakm² · Higher wins ↑ · Chosen
5,128
4,033
Would win
Populationpeople · Higher wins ↑
1,367,510
522,331
Would win
Wealth per personint’l $ · Higher wins ↑
34,652
10,251
Would win
Densityper km² · Higher wins ↑
266.7
129.5
Would win
Highest peakm · Higher wins ↑
940
2,829
Would lose
Coastlinekm · Higher wins ↑
362
965
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
10.3° N
15.0° N
Would win
14
Round 14Won26 countries · 4 lives left
ZambiavsUzbekistan
Proximity to equator: 14.7° S vs 41.5° N from the equator · Closer wins ↓
Conquered Uzbekistan.
Other category comparisons 1 other winning choice
All eight categories for Zambia against Uzbekistan
Category
Zambia
Uzbekistan
Result
Areakm² · Higher wins ↑
752,618
447,400
Would win
Populationpeople · Higher wins ↑
20,723,965
35,652,307
Would lose
Wealth per personint’l $ · Higher wins ↑
4,080
11,679
Would lose
Densityper km² · Higher wins ↑
27.5
79.7
Would lose
Highest peakm · Higher wins ↑
2,330
4,643
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
14.7° S
41.5° N
Would win
15
Round 15Won27 countries · 4 lives left
CroatiavsVanuatu
Wealth per person: 47,760 vs 4,202 int’l $ · Higher wins ↑
Conquered Vanuatu.
Other category comparisons 5 other winning choices
All eight categories for Croatia against Vanuatu
Category
Croatia
Vanuatu
Result
Areakm² · Higher wins ↑
56,594
12,189
Would win
Populationpeople · Higher wins ↑
3,859,686
320,409
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
47,760
4,202
Would win
Densityper km² · Higher wins ↑
68.2
26.3
Would win
Highest peakm · Higher wins ↑
1,831
1,877
Would lose
Coastlinekm · Higher wins ↑
5,835
2,528
Would win
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
45.8° N
15.4° S
Would lose
16
Round 16Won28 countries · 4 lives left
IndiavsBurkina Faso
Population: 1,438,069,596 vs 23,025,776 people · Higher wins ↑
Conquered Burkina Faso.
Other category comparisons 6 other winning choices
All eight categories for India against Burkina Faso
Category
India
Burkina Faso
Result
Areakm² · Higher wins ↑
3,287,263
274,200
Would win
Populationpeople · Higher wins ↑ · Chosen
1,438,069,596
23,025,776
Would win
Wealth per personint’l $ · Higher wins ↑
9,853
2,762
Would win
Densityper km² · Higher wins ↑
437.5
84.0
Would win
Highest peakm · Higher wins ↑
8,586
749
Would win
Coastlinekm · Higher wins ↑
7,000
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
22.4° N
12.8° N
Would lose
17
Round 17Won29 countries · 4 lives left
GuineavsLibya
Density: 58.6 vs 4.2 per km² · Higher wins ↑
Conquered Libya.
Other category comparisons 2 other winning choices
All eight categories for Guinea against Libya
Category
Guinea
Libya
Result
Areakm² · Higher wins ↑
245,857
1,759,540
Would lose
Populationpeople · Higher wins ↑
14,405,468
7,305,659
Would win
Wealth per personint’l $ · Higher wins ↑
4,337
13,858
Would lose
Densityper km² · Higher wins ↑ · Chosen
58.6
4.2
Would win
Highest peakm · Higher wins ↑
1,752
2,267
Would lose
Coastlinekm · Higher wins ↑
320
1,770
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
10.7° N
26.1° N
Would win
18
Round 18Won30 countries · 4 lives left
UkrainevsBelarus
Population: 37,732,836 vs 9,178,298 people · Higher wins ↑
Conquered Belarus.
Other category comparisons 5 other winning choices
All eight categories for Ukraine against Belarus
Category
Ukraine
Belarus
Result
Areakm² · Higher wins ↑
603,550
207,600
Would win
Populationpeople · Higher wins ↑ · Chosen
37,732,836
9,178,298
Would win
Wealth per personint’l $ · Higher wins ↑
17,680
30,860
Would lose
Densityper km² · Higher wins ↑
62.5
44.2
Would win
Highest peakm · Higher wins ↑
2,061
346
Would win
Coastlinekm · Higher wins ↑
2,782
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.6° N
53.8° N
Would win
19
Round 19Won31 countries · 4 lives left
PakistanvsBelize
Population: 247,504,495 vs 411,106 people · Higher wins ↑
Conquered Belize.
Other category comparisons 4 other winning choices
All eight categories for Pakistan against Belize
Category
Pakistan
Belize
Result
Areakm² · Higher wins ↑
796,095
22,966
Would win
Populationpeople · Higher wins ↑ · Chosen
247,504,495
411,106
Would win
Wealth per personint’l $ · Higher wins ↑
6,019
13,741
Would lose
Densityper km² · Higher wins ↑
310.9
17.9
Would win
Highest peakm · Higher wins ↑
8,611
1,124
Would win
Coastlinekm · Higher wins ↑
1,046
386
Would win
Flag colourscolours · Higher wins ↑
2
12
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.8° N
17.0° N
Would lose
20
Round 20Won32 countries · 4 lives left
SomaliavsRepublic of the Congo
Coastline: 3,025 vs 169 km · Higher wins ↑
Conquered Republic of the Congo.
Other category comparisons 4 other winning choices
All eight categories for Somalia against Republic of the Congo
Category
Somalia
Republic of the Congo
Result
Areakm² · Higher wins ↑
637,657
342,000
Would win
Populationpeople · Higher wins ↑
18,358,615
6,182,885
Would win
Wealth per personint’l $ · Higher wins ↑
1,557
6,856
Would lose
Densityper km² · Higher wins ↑
28.8
18.1
Would win
Highest peakm · Higher wins ↑
2,460
1,020
Would win
Coastlinekm · Higher wins ↑ · Chosen
3,025
169
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓