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Untimed expedition · Data edition 01051846d672
62Wins
4Losses
1Ties
Explore the final empire · 71 countries
No countries match your search.
The path through the world
One choice at a time.
67 rounds
Where it began · 12 countries
Mauritania · Nepal · North Korea · Australia · Djibouti · Malaysia · Italy · Mauritius · Gabon · Guinea · Guatemala · Iceland
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
41
Round 41Won53 countries · 4 lives left
NepalvsKazakhstan
Highest peak: 8,849 vs 7,010 m · Higher wins ↑
Conquered Kazakhstan.
Other category comparisons 3 other winning choices
All eight categories for Nepal against Kazakhstan
Category
Nepal
Kazakhstan
Result
Areakm² · Higher wins ↑
147,181
2,724,900
Would lose
Populationpeople · Higher wins ↑
29,694,614
20,330,104
Would win
Wealth per personint’l $ · Higher wins ↑
5,400
38,547
Would lose
DensityBlocked in Hard · per km² · Higher wins ↑
201.8
7.5
Would win
Highest peakm · Higher wins ↑ · Chosen
8,849
7,010
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
29.0° N
48.5° N
Would win
42
Round 42Won54 countries · 4 lives left
BelizevsIraq
Flag colours: 12 vs 4 colours · Higher wins ↑
Conquered Iraq.
Other category comparisons 1 other winning choice
All eight categories for Belize against Iraq
Category
Belize
Iraq
Result
Areakm² · Higher wins ↑
22,966
438,317
Would lose
Populationpeople · Higher wins ↑
411,106
45,074,049
Would lose
Wealth per personint’l $ · Higher wins ↑
13,741
14,665
Would lose
Densityper km² · Higher wins ↑
17.9
102.8
Would lose
Highest peakm · Higher wins ↑
1,124
3,611
Would lose
CoastlineBlocked in Hard · km · Higher wins ↑
386
58
Would win
Flag colourscolours · Higher wins ↑ · Chosen
12
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.0° N
33.3° N
Would win
43
Round 43Won55 countries · 4 lives left
FijivsSingapore
Highest peak: 1,324 vs 166 m · Higher wins ↑
Conquered Singapore.
Other category comparisons 2 other winning choices
All eight categories for Fiji against Singapore
Category
Fiji
Singapore
Result
Areakm² · Higher wins ↑
18,274
719
Would win
Populationpeople · Higher wins ↑
924,145
5,917,648
Would lose
Wealth per personint’l $ · Higher wins ↑
14,656
144,728
Would lose
Densityper km² · Higher wins ↑
50.6
8,230.4
Would lose
Highest peakm · Higher wins ↑ · Chosen
1,324
166
Would win
CoastlineBlocked in Hard · km · Higher wins ↑
1,129
193
Would win
Flag colourscolours · Higher wins ↑
8
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.8° S
1.4° N
Would lose
44
Round 44Won56 countries · 4 lives left
ZimbabwevsEl Salvador
Population: 16,340,822 vs 6,309,624 people · Higher wins ↑
Conquered El Salvador.
Other category comparisons 0 other winning choices
All eight categories for Zimbabwe against El Salvador
Category
Zimbabwe
El Salvador
Result
AreaBlocked in Hard · km² · Higher wins ↑
390,757
21,041
Would win
Populationpeople · Higher wins ↑ · Chosen
16,340,822
6,309,624
Would win
Wealth per personint’l $ · Higher wins ↑
5,796
12,667
Would lose
Densityper km² · Higher wins ↑
41.8
299.9
Would lose
Highest peakm · Higher wins ↑
2,592
2,730
Would lose
Coastlinekm · Higher wins ↑
0
307
Would lose
Flag colourscolours · Higher wins ↑
6
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
19.0° S
13.9° N
Would lose
45
Round 45Won57 countries · 4 lives left
North KoreavsSweden
Population: 26,418,204 vs 10,536,632 people · Higher wins ↑
Conquered Sweden.
Other category comparisons 3 other winning choices
All eight categories for North Korea against Sweden
Category
North Korea
Sweden
Result
Areakm² · Higher wins ↑
120,538
450,295
Would lose
Populationpeople · Higher wins ↑ · Chosen
26,418,204
10,536,632
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
68,458
Unavailable
DensityBlocked in Hard · per km² · Higher wins ↑
219.2
23.4
Would win
Highest peakm · Higher wins ↑
2,744
2,100
Would win
Coastlinekm · Higher wins ↑
2,495
3,218
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
65.8° N
Would win
46
Round 46Won58 countries · 4 lives left
MaldivesvsSlovenia
Proximity to equator: 3.3° N vs 46.0° N from the equator · Closer wins ↓
Conquered Slovenia.
Other category comparisons 1 other winning choice
All eight categories for Maldives against Slovenia
Category
Maldives
Slovenia
Result
Areakm² · Higher wins ↑
298
20,273
Would lose
Populationpeople · Higher wins ↑
525,994
2,120,461
Would lose
Wealth per personint’l $ · Higher wins ↑
24,807
56,151
Would lose
DensityBlocked in Hard · per km² · Higher wins ↑
1,765.1
104.6
Would win
Highest peakm · Higher wins ↑
5
2,864
Would lose
Coastlinekm · Higher wins ↑
644
46.6
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
3.3° N
46.0° N
Would win
47
Round 47Won59 countries · 4 lives left
PalestinevsTrinidad and Tobago
Population: 5,165,775 vs 1,367,510 people · Higher wins ↑
Conquered Trinidad and Tobago.
Other category comparisons 3 other winning choices
All eight categories for Palestine against Trinidad and Tobago
Category
Palestine
Trinidad and Tobago
Result
Areakm² · Higher wins ↑
6,220
5,128
Would win
Populationpeople · Higher wins ↑ · Chosen
5,165,775
1,367,510
Would win
Wealth per personint’l $ · Higher wins ↑
6,179
34,652
Would lose
DensityBlocked in Hard · per km² · Higher wins ↑
830.5
266.7
Would win
Highest peakm · Higher wins ↑
1,020
940
Would win
Coastlinekm · Higher wins ↑
40
362
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
10.3° N
Would lose
48
Round 48Won60 countries · 4 lives left
PortugalvsCzechia
Proximity to equator: 40.7° N vs 49.8° N from the equator · Closer wins ↓
Conquered Czechia.
Other category comparisons 3 other winning choices
All eight categories for Portugal against Czechia
Category
Portugal
Czechia
Result
Areakm² · Higher wins ↑
92,090
78,867
Would win
Populationpeople · Higher wins ↑
10,578,174
10,864,042
Would lose
Wealth per personint’l $ · Higher wins ↑
49,800
56,062
Would lose
Densityper km² · Higher wins ↑
114.9
137.8
Would lose
Highest peakm · Higher wins ↑
2,351
1,602
Would win
CoastlineBlocked in Hard · km · Higher wins ↑
1,793
0
Would win
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
40.7° N
49.8° N
Would win
49
Round 49Won61 countries · 4 lives left
AustraliavsVietnam
Wealth per person: 72,273 vs 15,034 int’l $ · Higher wins ↑
Conquered Vietnam.
Other category comparisons 2 other winning choices
All eight categories for Australia against Vietnam
Category
Australia
Vietnam
Result
AreaBlocked in Hard · km² · Higher wins ↑
7,741,220
331,210
Would win
Populationpeople · Higher wins ↑
26,659,922
100,352,192
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
72,273
15,034
Would win
Densityper km² · Higher wins ↑
3.4
303.0
Would lose
Highest peakm · Higher wins ↑
2,228
3,144
Would lose
Coastlinekm · Higher wins ↑
25,760
3,444
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.1° S
21.7° N
Would lose
50
Round 50Lost60 countries · 3 lives left
SlovakiavsTogo
Area: 49,035 vs 56,785 km² · Higher wins ↑
Returned to the world: Slovakia.
Other category comparisons 1 other winning choice
All eight categories for Slovakia against Togo
Category
Slovakia
Togo
Result
Areakm² · Higher wins ↑ · Chosen
49,035
56,785
Would lose
Populationpeople · Higher wins ↑
5,426,740
8,223,850
Would lose
Wealth per personBlocked in Hard · int’l $ · Higher wins ↑
45,865
3,572
Would win
Densityper km² · Higher wins ↑
110.7
144.8
Would lose
Highest peakm · Higher wins ↑
2,655
986
Would win
Coastlinekm · Higher wins ↑
0
56
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
48.7° N
8.9° N
Would lose
51
Round 51Won61 countries · 3 lives left
MoldovavsLuxembourg
Population: 2,457,783 vs 666,430 people · Higher wins ↑
Conquered Luxembourg.
Other category comparisons 2 other winning choices
All eight categories for Moldova against Luxembourg
Category
Moldova
Luxembourg
Result
AreaBlocked in Hard · km² · Higher wins ↑
33,851
2,586
Would win
Populationpeople · Higher wins ↑ · Chosen
2,457,783
666,430
Would win
Wealth per personint’l $ · Higher wins ↑
17,751
152,596
Would lose
Densityper km² · Higher wins ↑
72.6
257.7
Would lose
Highest peakm · Higher wins ↑
430
559
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
9
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
47.5° N
49.7° N
Would win
52
Round 52Won62 countries · 3 lives left
PeruvsNamibia
Highest peak: 6,746 vs 2,573 m · Higher wins ↑
Conquered Namibia.
Other category comparisons 5 other winning choices
All eight categories for Peru against Namibia
Category
Peru
Namibia
Result
Areakm² · Higher wins ↑
1,285,216
824,292
Would win
PopulationBlocked in Hard · people · Higher wins ↑
33,845,617
2,963,095
Would win
Wealth per personint’l $ · Higher wins ↑
17,042
11,248
Would win
Densityper km² · Higher wins ↑
26.3
3.6
Would win
Highest peakm · Higher wins ↑ · Chosen
6,746
2,573
Would win
Coastlinekm · Higher wins ↑
2,414
1,572
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.0° S
20.6° S
Would win
53
Round 53Won63 countries · 3 lives left
DjiboutivsBolivia
Density: 49.7 vs 11.1 per km² · Higher wins ↑
Conquered Bolivia.
Other category comparisons 1 other winning choice
All eight categories for Djibouti against Bolivia
Category
Djibouti
Bolivia
Result
Areakm² · Higher wins ↑
23,200
1,098,581
Would lose
Populationpeople · Higher wins ↑
1,152,944
12,244,159
Would lose
Wealth per personint’l $ · Higher wins ↑
7,232
12,903
Would lose
Densityper km² · Higher wins ↑ · Chosen
49.7
11.1
Would win
Highest peakm · Higher wins ↑
2,021
6,542
Would lose
CoastlineBlocked in Hard · km · Higher wins ↑
314
0
Would win
Flag colourscolours · Higher wins ↑
4
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
11.4° N
16.7° S
Would win
54
Round 54Lost62 countries · 2 lives left
LithuaniavsSouth Korea
Wealth per person: 52,720 vs 57,430 int’l $ · Higher wins ↑
Returned to the world: Lithuania.
Other category comparisons 0 other winning choices
All eight categories for Lithuania against South Korea
Category
Lithuania
South Korea
Result
Areakm² · Higher wins ↑
65,300
99,720
Would lose
Populationpeople · Higher wins ↑
2,871,585
51,712,619
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
52,720
57,430
Would lose
Densityper km² · Higher wins ↑
44.0
518.6
Would lose
Highest peakm · Higher wins ↑
294
1,950
Would lose
Coastlinekm · Higher wins ↑
90
2,413
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.1° N
36.3° N
Would lose
55
Round 55Won63 countries · 2 lives left
SwitzerlandvsYemen
Highest peak: 4,634 vs 3,666 m · Higher wins ↑
Conquered Yemen.
Other category comparisons 0 other winning choices
All eight categories for Switzerland against Yemen
Category
Switzerland
Yemen
Result
Areakm² · Higher wins ↑
41,277
527,968
Would lose
Populationpeople · Higher wins ↑
8,888,822
39,390,799
Would lose
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
93,940
Unavailable
Unavailable
DensityBlocked in Hard · per km² · Higher wins ↑
215.3
74.6
Would win
Highest peakm · Higher wins ↑ · Chosen
4,634
3,666
Would win
Coastlinekm · Higher wins ↑
0
1,906
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
15.3° N
Would lose
56
Round 56Won64 countries · 2 lives left
JapanvsTogo
Population: 124,516,650 vs 8,223,850 people · Higher wins ↑
Conquered Togo.
Other category comparisons 4 other winning choices
All eight categories for Japan against Togo
Category
Japan
Togo
Result
Areakm² · Higher wins ↑
377,915
56,785
Would win
Populationpeople · Higher wins ↑ · Chosen
124,516,650
8,223,850
Would win
Wealth per personint’l $ · Higher wins ↑
52,726
3,572
Would win
Densityper km² · Higher wins ↑
329.5
144.8
Would win
Highest peakm · Higher wins ↑
3,776
986
Would win
CoastlineBlocked in Hard · km · Higher wins ↑
29,751
56
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
36.7° N
8.9° N
Would lose
57
Round 57Won65 countries · 2 lives left
MalaysiavsUkraine
Flag colours: 4 vs 2 colours · Higher wins ↑
Conquered Ukraine.
Other category comparisons 4 other winning choices
All eight categories for Malaysia against Ukraine
Category
Malaysia
Ukraine
Result
Areakm² · Higher wins ↑
329,847
603,550
Would lose
Populationpeople · Higher wins ↑
35,126,298
37,732,836
Would lose
Wealth per personint’l $ · Higher wins ↑
36,497
17,680
Would win
Densityper km² · Higher wins ↑
106.5
62.5
Would win
Highest peakm · Higher wins ↑
4,095
2,061
Would win
Coastlinekm · Higher wins ↑
4,675
2,782
Would win
Flag colourscolours · Higher wins ↑ · Chosen
4
2
Would win
Proximity to equatorBlocked in Hard · from the equator · Closer wins ↓
4.4° N
49.6° N
Would win
58
Round 58Lost64 countries · 1 life left
South AfricavsTanzania
Population: 63,212,384 vs 66,617,606 people · Higher wins ↑
Returned to the world: South Africa.
Other category comparisons 3 other winning choices
All eight categories for South Africa against Tanzania
Category
South Africa
Tanzania
Result
Areakm² · Higher wins ↑
1,219,090
947,300
Would win
Populationpeople · Higher wins ↑ · Chosen
63,212,384
66,617,606
Would lose
Wealth per personBlocked in Hard · int’l $ · Higher wins ↑
15,212
4,022
Would win
Densityper km² · Higher wins ↑
51.9
70.3
Would lose
Highest peakm · Higher wins ↑
3,450
5,895
Would lose
Coastlinekm · Higher wins ↑
2,798
1,424
Would win
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
30.2° S
5.5° S
Would lose
59
Round 59Won65 countries · 1 life left
Côte d’IvoirevsBurundi
Population: 31,165,654 vs 13,689,450 people · Higher wins ↑
Conquered Burundi.
Other category comparisons 2 other winning choices
All eight categories for Côte d’Ivoire against Burundi
Category
Côte d’Ivoire
Burundi
Result
AreaBlocked in Hard · km² · Higher wins ↑
322,463
27,830
Would win
Populationpeople · Higher wins ↑ · Chosen
31,165,654
13,689,450
Would win
Wealth per personint’l $ · Higher wins ↑
7,243
1,147
Would win
Densityper km² · Higher wins ↑
96.6
491.9
Would lose
Highest peakm · Higher wins ↑
1,752
2,685
Would lose
Coastlinekm · Higher wins ↑
515
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
7.5° N
3.4° S
Would lose
60
Round 60Won66 countries · 1 life left
GreecevsEthiopia
Wealth per person: 42,614 vs 3,063 int’l $ · Higher wins ↑
Conquered Ethiopia.
Other category comparisons 0 other winning choices
All eight categories for Greece against Ethiopia
Category
Greece
Ethiopia
Result
Areakm² · Higher wins ↑
131,957
1,104,300
Would lose
Populationpeople · Higher wins ↑
10,407,351
128,691,692
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
42,614
3,063
Would win
Densityper km² · Higher wins ↑
78.9
116.5
Would lose
Highest peakm · Higher wins ↑
2,917
4,550
Would lose
CoastlineBlocked in Hard · km · Higher wins ↑
13,676
0
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Nepalvs
Kazakhstan
Belize
Iraq
Fiji
Singapore
Zimbabwe
El Salvador
North Korea
Sweden
Maldives
Slovenia
Palestine
Trinidad and Tobago
Portugal
Czechia
Australia
Vietnam
Slovakia
Togo
Moldova
Luxembourg
Peru
Namibia
Djibouti
Bolivia
Lithuania
South Korea
Switzerland
Yemen
Japan
Malaysia
Ukraine
South Africa
Tanzania
Côte d’Ivoire
Burundi
Greece
Ethiopia