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Untimed expedition · Data edition 01051846d672
25Wins
2Losses
0Ties
Explore the final empire · 35 countries
No countries match your search.
The path through the world
One choice at a time.
27 rounds
Where it began · 12 countries
Germany · South Sudan · United Kingdom · Thailand · Oman · Sri Lanka · Slovakia · Cambodia · Guyana · Ecuador · Spain · Bhutan
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
GermanyvsEl Salvador
Population: 83,287,273 vs 6,309,624 people · Higher wins ↑
Conquered El Salvador.
Other category comparisons 4 other winning choices
All eight categories for Germany against El Salvador
Category
Germany
El Salvador
Result
Areakm² · Higher wins ↑
357,022
21,041
Would win
Populationpeople · Higher wins ↑ · Chosen
83,287,273
6,309,624
Would win
Wealth per personint’l $ · Higher wins ↑
72,262
12,667
Would win
Densityper km² · Higher wins ↑
233.3
299.9
Would lose
Highest peakm · Higher wins ↑
2,963
2,730
Would win
Coastlinekm · Higher wins ↑
2,389
307
Would win
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
13.9° N
Would lose
2
Round 2Won14 countries · 4 lives left
South SudanvsNamibia
Proximity to equator: 7.1° N vs 20.6° S from the equator · Closer wins ↓
Conquered Namibia.
Other category comparisons 4 other winning choices
All eight categories for South Sudan against Namibia
Category
South Sudan
Namibia
Result
Areakm² · Higher wins ↑
644,329
824,292
Would lose
Populationpeople · Higher wins ↑
11,483,374
2,963,095
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
11,248
Unavailable
Densityper km² · Higher wins ↑
17.8
3.6
Would win
Highest peakm · Higher wins ↑
3,187
2,573
Would win
Coastlinekm · Higher wins ↑
0
1,572
Would lose
Flag colourscolours · Higher wins ↑
6
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.1° N
20.6° S
Would win
3
Round 3Won15 countries · 4 lives left
United KingdomvsNicaragua
Population: 68,526,000 vs 6,823,613 people · Higher wins ↑
Conquered Nicaragua.
Other category comparisons 4 other winning choices
All eight categories for United Kingdom against Nicaragua
Category
United Kingdom
Nicaragua
Result
Areakm² · Higher wins ↑
243,610
130,370
Would win
Populationpeople · Higher wins ↑ · Chosen
68,526,000
6,823,613
Would win
Wealth per personint’l $ · Higher wins ↑
60,787
8,327
Would win
Densityper km² · Higher wins ↑
281.3
52.3
Would win
Highest peakm · Higher wins ↑
1,345
2,085
Would lose
Coastlinekm · Higher wins ↑
12,429
910
Would win
Flag colourscolours · Higher wins ↑
3
10
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
52.5° N
12.6° N
Would lose
4
Round 4Won16 countries · 4 lives left
ThailandvsNigeria
Coastline: 3,219 vs 853 km · Higher wins ↑
Conquered Nigeria.
Other category comparisons 3 other winning choices
All eight categories for Thailand against Nigeria
Category
Thailand
Nigeria
Result
Areakm² · Higher wins ↑
513,120
923,768
Would lose
Populationpeople · Higher wins ↑
71,702,435
227,882,945
Would lose
Wealth per personint’l $ · Higher wins ↑
23,598
8,712
Would win
Densityper km² · Higher wins ↑
139.7
246.7
Would lose
Highest peakm · Higher wins ↑
2,565
2,419
Would win
Coastlinekm · Higher wins ↑ · Chosen
3,219
853
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.5° N
9.4° N
Would lose
5
Round 5Won17 countries · 4 lives left
OmanvsTimor-Leste
Population: 5,049,269 vs 1,384,286 people · Higher wins ↑
Conquered Timor-Leste.
Other category comparisons 4 other winning choices
All eight categories for Oman against Timor-Leste
Category
Oman
Timor-Leste
Result
Areakm² · Higher wins ↑
309,500
14,874
Would win
Populationpeople · Higher wins ↑ · Chosen
5,049,269
1,384,286
Would win
Wealth per personint’l $ · Higher wins ↑
41,980
4,811
Would win
Densityper km² · Higher wins ↑
16.3
93.1
Would lose
Highest peakm · Higher wins ↑
3,004
2,963
Would win
Coastlinekm · Higher wins ↑
2,092
706
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
22.1° N
8.9° S
Would lose
6
Round 6Won18 countries · 4 lives left
Sri LankavsLithuania
Coastline: 1,340 vs 90 km · Higher wins ↑
Conquered Lithuania.
Other category comparisons 6 other winning choices
All eight categories for Sri Lanka against Lithuania
Category
Sri Lanka
Lithuania
Result
Areakm² · Higher wins ↑
65,610
65,300
Would win
Populationpeople · Higher wins ↑
22,037,000
2,871,585
Would win
Wealth per personint’l $ · Higher wins ↑
14,512
52,720
Would lose
Densityper km² · Higher wins ↑
335.9
44.0
Would win
Highest peakm · Higher wins ↑
2,524
294
Would win
Coastlinekm · Higher wins ↑ · Chosen
1,340
90
Would win
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
55.1° N
Would win
7
Round 7Won19 countries · 4 lives left
SlovakiavsNorth Macedonia
Population: 5,426,740 vs 1,827,816 people · Higher wins ↑
Conquered North Macedonia.
Other category comparisons 4 other winning choices
All eight categories for Slovakia against North Macedonia
Category
Slovakia
North Macedonia
Result
Areakm² · Higher wins ↑
49,035
25,713
Would win
Populationpeople · Higher wins ↑ · Chosen
5,426,740
1,827,816
Would win
Wealth per personint’l $ · Higher wins ↑
45,865
25,354
Would win
Densityper km² · Higher wins ↑
110.7
71.1
Would win
Highest peakm · Higher wins ↑
2,655
2,764
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
48.7° N
41.5° N
Would lose
8
Round 8Won20 countries · 4 lives left
CambodiavsMongolia
Density: 96.2 vs 2.2 per km² · Higher wins ↑
Conquered Mongolia.
Other category comparisons 4 other winning choices
All eight categories for Cambodia against Mongolia
Category
Cambodia
Mongolia
Result
Areakm² · Higher wins ↑
181,035
1,564,116
Would lose
Populationpeople · Higher wins ↑
17,423,880
3,481,145
Would win
Wealth per personint’l $ · Higher wins ↑
7,437
18,020
Would lose
Densityper km² · Higher wins ↑ · Chosen
96.2
2.2
Would win
Highest peakm · Higher wins ↑
1,810
4,374
Would lose
Coastlinekm · Higher wins ↑
443
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.6° N
46.0° N
Would win
9
Round 9Won21 countries · 4 lives left
GuyanavsColombia
Flag colours: 5 vs 3 colours · Higher wins ↑
Conquered Colombia.
Other category comparisons 2 other winning choices
All eight categories for Guyana against Colombia
Category
Guyana
Colombia
Result
Areakm² · Higher wins ↑
214,969
1,138,910
Would lose
Populationpeople · Higher wins ↑
826,353
52,321,152
Would lose
Wealth per personint’l $ · Higher wins ↑
54,774
21,282
Would win
Densityper km² · Higher wins ↑
3.8
45.9
Would lose
Highest peakm · Higher wins ↑
2,775
5,730
Would lose
Coastlinekm · Higher wins ↑
459
3,208
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
2.7° N
3.4° N
Would win
10
Round 10Won22 countries · 4 lives left
EcuadorvsLiberia
Proximity to equator: 1.2° S vs 7.0° N from the equator · Closer wins ↓
Conquered Liberia.
Other category comparisons 7 other winning choices
All eight categories for Ecuador against Liberia
Category
Ecuador
Liberia
Result
Areakm² · Higher wins ↑
283,561
111,369
Would win
Populationpeople · Higher wins ↑
17,980,083
5,493,031
Would win
Wealth per personint’l $ · Higher wins ↑
15,907
1,796
Would win
Densityper km² · Higher wins ↑
63.4
49.3
Would win
Highest peakm · Higher wins ↑
6,267
1,447
Would win
Coastlinekm · Higher wins ↑
2,237
579
Would win
Flag colourscolours · Higher wins ↑
11
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.2° S
7.0° N
Would win
11
Round 11Won23 countries · 4 lives left
SpainvsPanama
Population: 48,352,528 vs 4,458,759 people · Higher wins ↑
Conquered Panama.
Other category comparisons 6 other winning choices
All eight categories for Spain against Panama
Category
Spain
Panama
Result
Areakm² · Higher wins ↑
505,370
75,420
Would win
Populationpeople · Higher wins ↑ · Chosen
48,352,528
4,458,759
Would win
Wealth per personint’l $ · Higher wins ↑
55,661
39,846
Would win
Densityper km² · Higher wins ↑
95.7
59.1
Would win
Highest peakm · Higher wins ↑
3,718
3,475
Would win
Coastlinekm · Higher wins ↑
4,964
2,490
Would win
Flag colourscolours · Higher wins ↑
10
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.0° N
8.4° N
Would lose
12
Round 12Won24 countries · 4 lives left
BhutanvsArgentina
Highest peak: 7,570 vs 6,962 m · Higher wins ↑
Conquered Argentina.
Other category comparisons 2 other winning choices
All eight categories for Bhutan against Argentina
Category
Bhutan
Argentina
Result
Areakm² · Higher wins ↑
38,394
2,780,400
Would lose
Populationpeople · Higher wins ↑
786,385
45,538,401
Would lose
Wealth per personint’l $ · Higher wins ↑
16,229
30,246
Would lose
Densityper km² · Higher wins ↑
20.5
16.4
Would win
Highest peakm · Higher wins ↑ · Chosen
7,570
6,962
Would win
Coastlinekm · Higher wins ↑
0
4,989
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
27.5° N
31.4° S
Would win
13
Round 13Won25 countries · 4 lives left
GermanyvsFrance
Population: 83,287,273 vs 65,925,961 people · Higher wins ↑
Conquered France.
Other category comparisons 2 other winning choices
All eight categories for Germany against France
Category
Germany
France
Result
Areakm² · Higher wins ↑
357,022
551,500
Would lose
Populationpeople · Higher wins ↑ · Chosen
83,287,273
65,925,961
Would win
Wealth per personint’l $ · Higher wins ↑
72,262
60,927
Would win
Densityper km² · Higher wins ↑
233.3
119.5
Would win
Highest peakm · Higher wins ↑
2,963
4,810
Would lose
Coastlinekm · Higher wins ↑
2,389
3,427
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
46.7° N
Would lose
14
Round 14Won26 countries · 4 lives left
El SalvadorvsSouth Africa
Proximity to equator: 13.9° N vs 30.2° S from the equator · Closer wins ↓
Conquered South Africa.
Other category comparisons 2 other winning choices
All eight categories for El Salvador against South Africa
Category
El Salvador
South Africa
Result
Areakm² · Higher wins ↑
21,041
1,219,090
Would lose
Populationpeople · Higher wins ↑
6,309,624
63,212,384
Would lose
Wealth per personint’l $ · Higher wins ↑
12,667
15,212
Would lose
Densityper km² · Higher wins ↑
299.9
51.9
Would win
Highest peakm · Higher wins ↑
2,730
3,450
Would lose
Coastlinekm · Higher wins ↑
307
2,798
Would lose
Flag colourscolours · Higher wins ↑
9
6
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.9° N
30.2° S
Would win
15
Round 15Won27 countries · 4 lives left
South SudanvsMontenegro
Area: 644,329 vs 13,812 km² · Higher wins ↑
Conquered Montenegro.
Other category comparisons 4 other winning choices
All eight categories for South Sudan against Montenegro
Category
South Sudan
Montenegro
Result
Areakm² · Higher wins ↑ · Chosen
644,329
13,812
Would win
Populationpeople · Higher wins ↑
11,483,374
623,529
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
31,863
Unavailable
Densityper km² · Higher wins ↑
17.8
45.1
Would lose
Highest peakm · Higher wins ↑
3,187
2,534
Would win
Coastlinekm · Higher wins ↑
0
293.5
Would lose
Flag colourscolours · Higher wins ↑
6
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
42.8° N
Would win
16
Round 16Won28 countries · 4 lives left
NamibiavsBurundi
Area: 824,292 vs 27,830 km² · Higher wins ↑
Conquered Burundi.
Other category comparisons 3 other winning choices
All eight categories for Namibia against Burundi
Category
Namibia
Burundi
Result
Areakm² · Higher wins ↑ · Chosen
824,292
27,830
Would win
Populationpeople · Higher wins ↑
2,963,095
13,689,450
Would lose
Wealth per personint’l $ · Higher wins ↑
11,248
1,147
Would win
Densityper km² · Higher wins ↑
3.6
491.9
Would lose
Highest peakm · Higher wins ↑
2,573
2,685
Would lose
Coastlinekm · Higher wins ↑
1,572
0
Would win
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
20.6° S
3.4° S
Would lose
17
Round 17Won29 countries · 4 lives left
United KingdomvsCanada
Population: 68,526,000 vs 40,049,088 people · Higher wins ↑
Conquered Canada.
Other category comparisons 3 other winning choices
All eight categories for United Kingdom against Canada
Category
United Kingdom
Canada
Result
Areakm² · Higher wins ↑
243,610
9,984,670
Would lose
Populationpeople · Higher wins ↑ · Chosen
68,526,000
40,049,088
Would win
Wealth per personint’l $ · Higher wins ↑
60,787
64,962
Would lose
Densityper km² · Higher wins ↑
281.3
4.0
Would win
Highest peakm · Higher wins ↑
1,345
5,959
Would lose
Coastlinekm · Higher wins ↑
12,429
202,080
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
52.5° N
58.8° N
Would win
18
Round 18Won30 countries · 4 lives left
NicaraguavsHaiti
Proximity to equator: 12.6° N vs 19.2° N from the equator · Closer wins ↓
Conquered Haiti.
Other category comparisons 3 other winning choices
All eight categories for Nicaragua against Haiti
Category
Nicaragua
Haiti
Result
Areakm² · Higher wins ↑
130,370
27,750
Would win
Populationpeople · Higher wins ↑
6,823,613
11,637,398
Would lose
Wealth per personint’l $ · Higher wins ↑
8,327
3,265
Would win
Densityper km² · Higher wins ↑
52.3
419.4
Would lose
Highest peakm · Higher wins ↑
2,085
2,674
Would lose
Coastlinekm · Higher wins ↑
910
1,771
Would lose
Flag colourscolours · Higher wins ↑
10
7
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.6° N
19.2° N
Would win
19
Round 19Won31 countries · 4 lives left
ThailandvsBolivia
Population: 71,702,435 vs 12,244,159 people · Higher wins ↑
Conquered Bolivia.
Other category comparisons 4 other winning choices
All eight categories for Thailand against Bolivia
Category
Thailand
Bolivia
Result
Areakm² · Higher wins ↑
513,120
1,098,581
Would lose
Populationpeople · Higher wins ↑ · Chosen
71,702,435
12,244,159
Would win
Wealth per personint’l $ · Higher wins ↑
23,598
12,903
Would win
Densityper km² · Higher wins ↑
139.7
11.1
Would win
Highest peakm · Higher wins ↑
2,565
6,542
Would lose
Coastlinekm · Higher wins ↑
3,219
0
Would win
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
15.5° N
16.7° S
Would win
20
Round 20Lost30 countries · 3 lives left
NigeriavsIndonesia
Proximity to equator: 9.4° N vs 1.0° S from the equator · Closer wins ↓
Returned to the world: Nigeria.
Other category comparisons 1 other winning choice
All eight categories for Nigeria against Indonesia
Category
Nigeria
Indonesia
Result
Areakm² · Higher wins ↑
923,768
1,904,569
Would lose
Populationpeople · Higher wins ↑
227,882,945
281,190,067
Would lose
Wealth per personint’l $ · Higher wins ↑
8,712
15,428
Would lose
Densityper km² · Higher wins ↑
246.7
147.6
Would win
Highest peakm · Higher wins ↑
2,419
4,884
Would lose
Coastlinekm · Higher wins ↑
853
54,716
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
Germanyvs
El Salvador
South Sudan
Namibia
United Kingdom
Nicaragua
Thailand
Nigeria
Oman
Timor-Leste
Sri Lanka
Lithuania
Slovakia
North Macedonia
Cambodia
Mongolia
Guyana
Colombia
Ecuador
Liberia
Spain
Panama
Bhutan
Argentina
France
South Africa
Montenegro
Burundi
Canada
Haiti
Bolivia
Indonesia