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Untimed expedition · Data edition 01051846d672
21Wins
1Losses
0Ties
Explore the final empire · 32 countries
No countries match your search.
The path through the world
One choice at a time.
22 rounds
Where it began · 12 countries
Costa Rica · Australia · Nepal · Benin · Republic of the Congo · Ethiopia · Bhutan · Lithuania · Greece · Switzerland · Tanzania · India
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
Costa RicavsDR Congo
Wealth per person: 29,248 vs 1,732 int’l $ · Higher wins ↑
Conquered DR Congo.
Other category comparisons 2 other winning choices
All eight categories for Costa Rica against DR Congo
Category
Costa Rica
DR Congo
Result
Areakm² · Higher wins ↑
51,100
2,344,858
Would lose
Populationpeople · Higher wins ↑
5,105,525
105,789,731
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
29,248
1,732
Would win
Densityper km² · Higher wins ↑
99.9
45.1
Would win
Highest peakm · Higher wins ↑
3,819
5,110
Would lose
Coastlinekm · Higher wins ↑
1,290
37
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
10.1° N
1.9° S
Would lose
2
Round 2Won14 countries · 4 lives left
AustraliavsVanuatu
Area: 7,741,220 vs 12,189 km² · Higher wins ↑
Conquered Vanuatu.
Other category comparisons 4 other winning choices
All eight categories for Australia against Vanuatu
Category
Australia
Vanuatu
Result
Areakm² · Higher wins ↑ · Chosen
7,741,220
12,189
Would win
Populationpeople · Higher wins ↑
26,659,922
320,409
Would win
Wealth per personint’l $ · Higher wins ↑
72,273
4,202
Would win
Densityper km² · Higher wins ↑
3.4
26.3
Would lose
Highest peakm · Higher wins ↑
2,228
1,877
Would win
Coastlinekm · Higher wins ↑
25,760
2,528
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
23.1° S
15.4° S
Would lose
3
Round 3Won15 countries · 4 lives left
NepalvsCôte d’Ivoire
Highest peak: 8,849 vs 1,752 m · Higher wins ↑
Conquered Côte d’Ivoire.
Other category comparisons 1 other winning choice
All eight categories for Nepal against Côte d’Ivoire
Category
Nepal
Côte d’Ivoire
Result
Areakm² · Higher wins ↑
147,181
322,463
Would lose
Populationpeople · Higher wins ↑
29,694,614
31,165,654
Would lose
Wealth per personint’l $ · Higher wins ↑
5,400
7,243
Would lose
Densityper km² · Higher wins ↑
201.8
96.6
Would win
Highest peakm · Higher wins ↑ · Chosen
8,849
1,752
Would win
Coastlinekm · Higher wins ↑
0
515
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
29.0° N
7.5° N
Would lose
4
Round 4Won16 countries · 4 lives left
BeninvsNorth Macedonia
Population: 14,111,034 vs 1,827,816 people · Higher wins ↑
Conquered North Macedonia.
Other category comparisons 5 other winning choices
All eight categories for Benin against North Macedonia
Category
Benin
North Macedonia
Result
Areakm² · Higher wins ↑
112,622
25,713
Would win
Populationpeople · Higher wins ↑ · Chosen
14,111,034
1,827,816
Would win
Wealth per personint’l $ · Higher wins ↑
4,133
25,354
Would lose
Densityper km² · Higher wins ↑
125.3
71.1
Would win
Highest peakm · Higher wins ↑
675
2,764
Would lose
Coastlinekm · Higher wins ↑
121
0
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
10.4° N
41.5° N
Would win
5
Round 5Won17 countries · 4 lives left
Republic of the CongovsZambia
Coastline: 169 vs 0 km · Higher wins ↑
Conquered Zambia.
Other category comparisons 2 other winning choices
All eight categories for Republic of the Congo against Zambia
Category
Republic of the Congo
Zambia
Result
Areakm² · Higher wins ↑
342,000
752,618
Would lose
Populationpeople · Higher wins ↑
6,182,885
20,723,965
Would lose
Wealth per personint’l $ · Higher wins ↑
6,856
4,080
Would win
Densityper km² · Higher wins ↑
18.1
27.5
Would lose
Highest peakm · Higher wins ↑
1,020
2,330
Would lose
Coastlinekm · Higher wins ↑ · Chosen
169
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
0.1° N
14.7° S
Would win
6
Round 6Won18 countries · 4 lives left
EthiopiavsUkraine
Population: 128,691,692 vs 37,732,836 people · Higher wins ↑
Conquered Ukraine.
Other category comparisons 5 other winning choices
All eight categories for Ethiopia against Ukraine
Category
Ethiopia
Ukraine
Result
Areakm² · Higher wins ↑
1,104,300
603,550
Would win
Populationpeople · Higher wins ↑ · Chosen
128,691,692
37,732,836
Would win
Wealth per personint’l $ · Higher wins ↑
3,063
17,680
Would lose
Densityper km² · Higher wins ↑
116.5
62.5
Would win
Highest peakm · Higher wins ↑
4,550
2,061
Would win
Coastlinekm · Higher wins ↑
0
2,782
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
8.5° N
49.6° N
Would win
7
Round 7Won19 countries · 4 lives left
BhutanvsMozambique
Highest peak: 7,570 vs 2,436 m · Higher wins ↑
Conquered Mozambique.
Other category comparisons 1 other winning choice
All eight categories for Bhutan against Mozambique
Category
Bhutan
Mozambique
Result
Areakm² · Higher wins ↑
38,394
799,380
Would lose
Populationpeople · Higher wins ↑
786,385
33,635,160
Would lose
Wealth per personint’l $ · Higher wins ↑
16,229
1,680
Would win
Densityper km² · Higher wins ↑
20.5
42.1
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,570
2,436
Would win
Coastlinekm · Higher wins ↑
0
2,470
Would lose
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.5° N
14.0° S
Would lose
8
Round 8Won20 countries · 4 lives left
LithuaniavsRwanda
Wealth per person: 52,720 vs 3,519 int’l $ · Higher wins ↑
Conquered Rwanda.
Other category comparisons 2 other winning choices
All eight categories for Lithuania against Rwanda
Category
Lithuania
Rwanda
Result
Areakm² · Higher wins ↑
65,300
26,338
Would win
Populationpeople · Higher wins ↑
2,871,585
13,954,471
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
52,720
3,519
Would win
Densityper km² · Higher wins ↑
44.0
529.8
Would lose
Highest peakm · Higher wins ↑
294
4,519
Would lose
Coastlinekm · Higher wins ↑
90
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
55.1° N
1.8° S
Would lose
9
Round 9Won21 countries · 4 lives left
GreecevsIran
Coastline: 13,676 vs 2,440 km · Higher wins ↑
Conquered Iran.
Other category comparisons 2 other winning choices
All eight categories for Greece against Iran
Category
Greece
Iran
Result
Areakm² · Higher wins ↑
131,957
1,648,195
Would lose
Populationpeople · Higher wins ↑
10,407,351
90,608,707
Would lose
Wealth per personint’l $ · Higher wins ↑
42,614
18,933
Would win
Densityper km² · Higher wins ↑
78.9
55.0
Would win
Highest peakm · Higher wins ↑
2,917
5,625
Would lose
Coastlinekm · Higher wins ↑ · Chosen
13,676
2,440
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.8° N
32.1° N
Would lose
10
Round 10Won22 countries · 4 lives left
SwitzerlandvsPalestine
Wealth per person: 93,940 vs 6,179 int’l $ · Higher wins ↑
Conquered Palestine.
Other category comparisons 3 other winning choices
All eight categories for Switzerland against Palestine
Category
Switzerland
Palestine
Result
Areakm² · Higher wins ↑
41,277
6,220
Would win
Populationpeople · Higher wins ↑
8,888,822
5,165,775
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
93,940
6,179
Would win
Densityper km² · Higher wins ↑
215.3
830.5
Would lose
Highest peakm · Higher wins ↑
4,634
1,020
Would win
Coastlinekm · Higher wins ↑
0
40
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
32.1° N
Would lose
11
Round 11Won23 countries · 4 lives left
TanzaniavsTürkiye
Proximity to equator: 5.5° S vs 39.1° N from the equator · Closer wins ↓
Conquered Türkiye.
Other category comparisons 3 other winning choices
All eight categories for Tanzania against Türkiye
Category
Tanzania
Türkiye
Result
Areakm² · Higher wins ↑
947,300
783,562
Would win
Populationpeople · Higher wins ↑
66,617,606
85,325,965
Would lose
Wealth per personint’l $ · Higher wins ↑
4,022
43,196
Would lose
Densityper km² · Higher wins ↑
70.3
108.9
Would lose
Highest peakm · Higher wins ↑
5,895
5,137
Would win
Coastlinekm · Higher wins ↑
1,424
7,200
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
5.5° S
39.1° N
Would win
12
Round 12Won24 countries · 4 lives left
IndiavsMontenegro
Population: 1,438,069,596 vs 623,529 people · Higher wins ↑
Conquered Montenegro.
Other category comparisons 5 other winning choices
All eight categories for India against Montenegro
Category
India
Montenegro
Result
Areakm² · Higher wins ↑
3,287,263
13,812
Would win
Populationpeople · Higher wins ↑ · Chosen
1,438,069,596
623,529
Would win
Wealth per personint’l $ · Higher wins ↑
9,853
31,863
Would lose
Densityper km² · Higher wins ↑
437.5
45.1
Would win
Highest peakm · Higher wins ↑
8,586
2,534
Would win
Coastlinekm · Higher wins ↑
7,000
293.5
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
22.4° N
42.8° N
Would win
13
Round 13Won25 countries · 4 lives left
Costa RicavsLatvia
Proximity to equator: 10.1° N vs 56.6° N from the equator · Closer wins ↓
Conquered Latvia.
Other category comparisons 5 other winning choices
All eight categories for Costa Rica against Latvia
Category
Costa Rica
Latvia
Result
Areakm² · Higher wins ↑
51,100
64,589
Would lose
Populationpeople · Higher wins ↑
5,105,525
1,883,710
Would win
Wealth per personint’l $ · Higher wins ↑
29,248
42,784
Would lose
Densityper km² · Higher wins ↑
99.9
29.2
Would win
Highest peakm · Higher wins ↑
3,819
312
Would win
Coastlinekm · Higher wins ↑
1,290
498
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.1° N
56.6° N
Would win
14
Round 14Won26 countries · 4 lives left
DR CongovsDominican Republic
Population: 105,789,731 vs 11,331,265 people · Higher wins ↑
Conquered Dominican Republic.
Other category comparisons 3 other winning choices
All eight categories for DR Congo against Dominican Republic
Category
DR Congo
Dominican Republic
Result
Areakm² · Higher wins ↑
2,344,858
48,670
Would win
Populationpeople · Higher wins ↑ · Chosen
105,789,731
11,331,265
Would win
Wealth per personint’l $ · Higher wins ↑
1,732
25,861
Would lose
Densityper km² · Higher wins ↑
45.1
232.8
Would lose
Highest peakm · Higher wins ↑
5,110
3,098
Would win
Coastlinekm · Higher wins ↑
37
1,288
Would lose
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.9° S
19.1° N
Would win
15
Round 15Won27 countries · 4 lives left
AustraliavsTrinidad and Tobago
Area: 7,741,220 vs 5,128 km² · Higher wins ↑
Conquered Trinidad and Tobago.
Other category comparisons 4 other winning choices
All eight categories for Australia against Trinidad and Tobago
Category
Australia
Trinidad and Tobago
Result
Areakm² · Higher wins ↑ · Chosen
7,741,220
5,128
Would win
Populationpeople · Higher wins ↑
26,659,922
1,367,510
Would win
Wealth per personint’l $ · Higher wins ↑
72,273
34,652
Would win
Densityper km² · Higher wins ↑
3.4
266.7
Would lose
Highest peakm · Higher wins ↑
2,228
940
Would win
Coastlinekm · Higher wins ↑
25,760
362
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
23.1° S
10.3° N
Would lose
16
Round 16Won28 countries · 4 lives left
VanuatuvsCanada
Density: 26.3 vs 4.0 per km² · Higher wins ↑
Conquered Canada.
Other category comparisons 2 other winning choices
All eight categories for Vanuatu against Canada
Category
Vanuatu
Canada
Result
Areakm² · Higher wins ↑
12,189
9,984,670
Would lose
Populationpeople · Higher wins ↑
320,409
40,049,088
Would lose
Wealth per personint’l $ · Higher wins ↑
4,202
64,962
Would lose
Densityper km² · Higher wins ↑ · Chosen
26.3
4.0
Would win
Highest peakm · Higher wins ↑
1,877
5,959
Would lose
Coastlinekm · Higher wins ↑
2,528
202,080
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.4° S
58.8° N
Would win
17
Round 17Won29 countries · 4 lives left
NepalvsZimbabwe
Highest peak: 8,849 vs 2,592 m · Higher wins ↑
Conquered Zimbabwe.
Other category comparisons 2 other winning choices
All eight categories for Nepal against Zimbabwe
Category
Nepal
Zimbabwe
Result
Areakm² · Higher wins ↑
147,181
390,757
Would lose
Populationpeople · Higher wins ↑
29,694,614
16,340,822
Would win
Wealth per personint’l $ · Higher wins ↑
5,400
5,796
Would lose
Densityper km² · Higher wins ↑
201.8
41.8
Would win
Highest peakm · Higher wins ↑ · Chosen
8,849
2,592
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
19.0° S
Would lose
18
Round 18Won30 countries · 4 lives left
Côte d’IvoirevsNetherlands
Area: 322,463 vs 41,543 km² · Higher wins ↑
Conquered Netherlands.
Other category comparisons 4 other winning choices
All eight categories for Côte d’Ivoire against Netherlands
Category
Côte d’Ivoire
Netherlands
Result
Areakm² · Higher wins ↑ · Chosen
322,463
41,543
Would win
Populationpeople · Higher wins ↑
31,165,654
17,877,117
Would win
Wealth per personint’l $ · Higher wins ↑
7,243
80,392
Would lose
Densityper km² · Higher wins ↑
96.6
430.3
Would lose
Highest peakm · Higher wins ↑
1,752
322
Would win
Coastlinekm · Higher wins ↑
515
451
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
7.5° N
52.2° N
Would win
19
Round 19Won31 countries · 4 lives left
BeninvsAlgeria
Proximity to equator: 10.4° N vs 27.4° N from the equator · Closer wins ↓
Conquered Algeria.
Other category comparisons 1 other winning choice
All eight categories for Benin against Algeria
Category
Benin
Algeria
Result
Areakm² · Higher wins ↑
112,622
2,381,740
Would lose
Populationpeople · Higher wins ↑
14,111,034
46,164,219
Would lose
Wealth per personint’l $ · Higher wins ↑
4,133
16,838
Would lose
Densityper km² · Higher wins ↑
125.3
19.4
Would win
Highest peakm · Higher wins ↑
675
2,908
Would lose
Coastlinekm · Higher wins ↑
121
998
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.4° N
27.4° N
Would win
20
Round 20Won32 countries · 4 lives left
North MacedoniavsPeru
Wealth per person: 25,354 vs 17,042 int’l $ · Higher wins ↑
Conquered Peru.
Other category comparisons 1 other winning choice
All eight categories for North Macedonia against Peru
Category
North Macedonia
Peru
Result
Areakm² · Higher wins ↑
25,713
1,285,216
Would lose
Populationpeople · Higher wins ↑
1,827,816
33,845,617
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
25,354
17,042
Would win
Densityper km² · Higher wins ↑
71.1
26.3
Would win
Highest peakm · Higher wins ↑
2,764
6,746
Would lose
Coastlinekm · Higher wins ↑
0
2,414
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
Costa Ricavs
DR Congo
Australia
Vanuatu
Nepal
Côte d’Ivoire
Benin
North Macedonia
Republic of the Congo
Zambia
Ethiopia
Ukraine
Bhutan
Mozambique
Lithuania
Rwanda
Greece
Iran
Switzerland
Palestine
Tanzania
Türkiye
India
Montenegro
Latvia
Dominican Republic
Trinidad and Tobago
Canada
Zimbabwe
Netherlands
Algeria
Peru