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Untimed expedition · Data edition 01051846d672
24Wins
3Losses
0Ties
Explore the final empire · 33 countries
No countries match your search.
The path through the world
One choice at a time.
27 rounds
Where it began · 12 countries
Tunisia · DR Congo · Djibouti · Kuwait · South Africa · Benin · United States · Moldova · Jordan · Liberia · United Kingdom · Panama
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
TunisiavsGuatemala
Wealth per person: 14,052 vs 13,752 int’l $ · Higher wins ↑
Conquered Guatemala.
Other category comparisons 2 other winning choices
All eight categories for Tunisia against Guatemala
Category
Tunisia
Guatemala
Result
Areakm² · Higher wins ↑
163,610
108,889
Would win
Populationpeople · Higher wins ↑
12,200,431
18,124,838
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
14,052
13,752
Would win
Densityper km² · Higher wins ↑
74.6
166.5
Would lose
Highest peakm · Higher wins ↑
1,544
4,220
Would lose
Coastlinekm · Higher wins ↑
1,148
400
Would win
Flag colourscolours · Higher wins ↑
2
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
35.3° N
15.0° N
Would lose
2
Round 2Won14 countries · 4 lives left
DR CongovsMalawi
Area: 2,344,858 vs 118,484 km² · Higher wins ↑
Conquered Malawi.
Other category comparisons 4 other winning choices
All eight categories for DR Congo against Malawi
Category
DR Congo
Malawi
Result
Areakm² · Higher wins ↑ · Chosen
2,344,858
118,484
Would win
Populationpeople · Higher wins ↑
105,789,731
21,104,482
Would win
Wealth per personint’l $ · Higher wins ↑
1,732
1,832
Would lose
Densityper km² · Higher wins ↑
45.1
178.1
Would lose
Highest peakm · Higher wins ↑
5,110
3,002
Would win
Coastlinekm · Higher wins ↑
37
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
1.9° S
13.4° S
Would win
3
Round 3Won15 countries · 4 lives left
DjiboutivsNiger
Coastline: 314 vs 0 km · Higher wins ↑
Conquered Niger.
Other category comparisons 4 other winning choices
All eight categories for Djibouti against Niger
Category
Djibouti
Niger
Result
Areakm² · Higher wins ↑
23,200
1,267,000
Would lose
Populationpeople · Higher wins ↑
1,152,944
26,159,867
Would lose
Wealth per personint’l $ · Higher wins ↑
7,232
1,903
Would win
Densityper km² · Higher wins ↑
49.7
20.6
Would win
Highest peakm · Higher wins ↑
2,021
2,022
Would lose
Coastlinekm · Higher wins ↑ · Chosen
314
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
11.4° N
17.6° N
Would win
4
Round 4Won16 countries · 4 lives left
KuwaitvsIndonesia
Wealth per person: 53,083 vs 15,428 int’l $ · Higher wins ↑
Conquered Indonesia.
Other category comparisons 2 other winning choices
All eight categories for Kuwait against Indonesia
Category
Kuwait
Indonesia
Result
Areakm² · Higher wins ↑
17,818
1,904,569
Would lose
Populationpeople · Higher wins ↑
4,853,420
281,190,067
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
53,083
15,428
Would win
Densityper km² · Higher wins ↑
272.4
147.6
Would win
Highest peakm · Higher wins ↑
300
4,884
Would lose
Coastlinekm · Higher wins ↑
499
54,716
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
29.4° N
1.0° S
Would lose
5
Round 5Won17 countries · 4 lives left
South AfricavsMauritius
Area: 1,219,090 vs 2,040 km² · Higher wins ↑
Conquered Mauritius.
Other category comparisons 4 other winning choices
All eight categories for South Africa against Mauritius
Category
South Africa
Mauritius
Result
Areakm² · Higher wins ↑ · Chosen
1,219,090
2,040
Would win
Populationpeople · Higher wins ↑
63,212,384
1,248,647
Would win
Wealth per personint’l $ · Higher wins ↑
15,212
29,403
Would lose
Densityper km² · Higher wins ↑
51.9
612.1
Would lose
Highest peakm · Higher wins ↑
3,450
828
Would win
Coastlinekm · Higher wins ↑
2,798
177
Would win
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
30.2° S
20.3° S
Would lose
6
Round 6Won18 countries · 4 lives left
BeninvsNicaragua
Population: 14,111,034 vs 6,823,613 people · Higher wins ↑
Conquered Nicaragua.
Other category comparisons 2 other winning choices
All eight categories for Benin against Nicaragua
Category
Benin
Nicaragua
Result
Areakm² · Higher wins ↑
112,622
130,370
Would lose
Populationpeople · Higher wins ↑ · Chosen
14,111,034
6,823,613
Would win
Wealth per personint’l $ · Higher wins ↑
4,133
8,327
Would lose
Densityper km² · Higher wins ↑
125.3
52.3
Would win
Highest peakm · Higher wins ↑
675
2,085
Would lose
Coastlinekm · Higher wins ↑
121
910
Would lose
Flag colourscolours · Higher wins ↑
3
10
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
10.4° N
12.6° N
Would win
7
Round 7Won19 countries · 4 lives left
United StatesvsVietnam
Area: 9,833,517 vs 331,210 km² · Higher wins ↑
Conquered Vietnam.
Other category comparisons 5 other winning choices
All eight categories for United States against Vietnam
Category
United States
Vietnam
Result
Areakm² · Higher wins ↑ · Chosen
9,833,517
331,210
Would win
Populationpeople · Higher wins ↑
336,755,052
100,352,192
Would win
Wealth per personint’l $ · Higher wins ↑
82,587
15,034
Would win
Densityper km² · Higher wins ↑
34.2
303.0
Would lose
Highest peakm · Higher wins ↑
6,190
3,144
Would win
Coastlinekm · Higher wins ↑
19,924
3,444
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
21.7° N
Would lose
8
Round 8Won20 countries · 4 lives left
MoldovavsSomalia
Wealth per person: 17,751 vs 1,557 int’l $ · Higher wins ↑
Conquered Somalia.
Other category comparisons 2 other winning choices
All eight categories for Moldova against Somalia
Category
Moldova
Somalia
Result
Areakm² · Higher wins ↑
33,851
637,657
Would lose
Populationpeople · Higher wins ↑
2,457,783
18,358,615
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
17,751
1,557
Would win
Densityper km² · Higher wins ↑
72.6
28.8
Would win
Highest peakm · Higher wins ↑
430
2,460
Would lose
Coastlinekm · Higher wins ↑
0
3,025
Would lose
Flag colourscolours · Higher wins ↑
9
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
47.5° N
2.6° N
Would lose
9
Round 9Won21 countries · 4 lives left
JordanvsKyrgyzstan
Wealth per person: 11,451 vs 7,304 int’l $ · Higher wins ↑
Conquered Kyrgyzstan.
Other category comparisons 5 other winning choices
All eight categories for Jordan against Kyrgyzstan
Category
Jordan
Kyrgyzstan
Result
Areakm² · Higher wins ↑
89,342
199,951
Would lose
Populationpeople · Higher wins ↑
11,439,213
7,099,750
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
11,451
7,304
Would win
Densityper km² · Higher wins ↑
128.0
35.5
Would win
Highest peakm · Higher wins ↑
1,854
7,439
Would lose
Coastlinekm · Higher wins ↑
26
0
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
30.7° N
41.7° N
Would win
10
Round 10Won22 countries · 4 lives left
LiberiavsMontenegro
Coastline: 579 vs 293.5 km · Higher wins ↑
Conquered Montenegro.
Other category comparisons 4 other winning choices
All eight categories for Liberia against Montenegro
Category
Liberia
Montenegro
Result
Areakm² · Higher wins ↑
111,369
13,812
Would win
Populationpeople · Higher wins ↑
5,493,031
623,529
Would win
Wealth per personint’l $ · Higher wins ↑
1,796
31,863
Would lose
Densityper km² · Higher wins ↑
49.3
45.1
Would win
Highest peakm · Higher wins ↑
1,447
2,534
Would lose
Coastlinekm · Higher wins ↑ · Chosen
579
293.5
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
7.0° N
42.8° N
Would win
11
Round 11Won23 countries · 4 lives left
United KingdomvsBurkina Faso
Wealth per person: 60,787 vs 2,762 int’l $ · Higher wins ↑
Conquered Burkina Faso.
Other category comparisons 4 other winning choices
All eight categories for United Kingdom against Burkina Faso
Category
United Kingdom
Burkina Faso
Result
Areakm² · Higher wins ↑
243,610
274,200
Would lose
Populationpeople · Higher wins ↑
68,526,000
23,025,776
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
60,787
2,762
Would win
Densityper km² · Higher wins ↑
281.3
84.0
Would win
Highest peakm · Higher wins ↑
1,345
749
Would win
Coastlinekm · Higher wins ↑
12,429
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
52.5° N
12.8° N
Would lose
12
Round 12Won24 countries · 4 lives left
PanamavsFrance
Proximity to equator: 8.4° N vs 46.7° N from the equator · Closer wins ↓
Conquered France.
Other category comparisons 0 other winning choices
All eight categories for Panama against France
Category
Panama
France
Result
Areakm² · Higher wins ↑
75,420
551,500
Would lose
Populationpeople · Higher wins ↑
4,458,759
65,925,961
Would lose
Wealth per personint’l $ · Higher wins ↑
39,846
60,927
Would lose
Densityper km² · Higher wins ↑
59.1
119.5
Would lose
Highest peakm · Higher wins ↑
3,475
4,810
Would lose
Coastlinekm · Higher wins ↑
2,490
3,427
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.4° N
46.7° N
Would win
13
Round 13Won25 countries · 4 lives left
TunisiavsPoland
Proximity to equator: 35.3° N vs 51.9° N from the equator · Closer wins ↓
Conquered Poland.
Other category comparisons 1 other winning choice
All eight categories for Tunisia against Poland
Category
Tunisia
Poland
Result
Areakm² · Higher wins ↑
163,610
312,685
Would lose
Populationpeople · Higher wins ↑
12,200,431
36,687,353
Would lose
Wealth per personint’l $ · Higher wins ↑
14,052
48,473
Would lose
Densityper km² · Higher wins ↑
74.6
117.3
Would lose
Highest peakm · Higher wins ↑
1,544
2,499
Would lose
Coastlinekm · Higher wins ↑
1,148
440
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
35.3° N
51.9° N
Would win
14
Round 14Won26 countries · 4 lives left
GuatemalavsMexico
Density: 166.5 vs 66.0 per km² · Higher wins ↑
Conquered Mexico.
Other category comparisons 1 other winning choice
All eight categories for Guatemala against Mexico
Category
Guatemala
Mexico
Result
Areakm² · Higher wins ↑
108,889
1,964,375
Would lose
Populationpeople · Higher wins ↑
18,124,838
129,739,759
Would lose
Wealth per personint’l $ · Higher wins ↑
13,752
25,188
Would lose
Densityper km² · Higher wins ↑ · Chosen
166.5
66.0
Would win
Highest peakm · Higher wins ↑
4,220
5,636
Would lose
Coastlinekm · Higher wins ↑
400
9,330
Would lose
Flag colourscolours · Higher wins ↑
9
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
15.0° N
23.5° N
Would win
15
Round 15Won27 countries · 4 lives left
DR CongovsSwitzerland
Area: 2,344,858 vs 41,277 km² · Higher wins ↑
Conquered Switzerland.
Other category comparisons 5 other winning choices
All eight categories for DR Congo against Switzerland
Category
DR Congo
Switzerland
Result
Areakm² · Higher wins ↑ · Chosen
2,344,858
41,277
Would win
Populationpeople · Higher wins ↑
105,789,731
8,888,822
Would win
Wealth per personint’l $ · Higher wins ↑
1,732
93,940
Would lose
Densityper km² · Higher wins ↑
45.1
215.3
Would lose
Highest peakm · Higher wins ↑
5,110
4,634
Would win
Coastlinekm · Higher wins ↑
37
0
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
1.9° S
46.7° N
Would win
16
Round 16Won28 countries · 4 lives left
MalawivsEritrea
Proximity to equator: 13.4° S vs 16.0° N from the equator · Closer wins ↓
Conquered Eritrea.
Other category comparisons 3 other winning choices
All eight categories for Malawi against Eritrea
Category
Malawi
Eritrea
Result
Areakm² · Higher wins ↑
118,484
117,600
Would win
Populationpeople · Higher wins ↑
21,104,482
3,470,390
Would win
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
1,832
Unavailable
Unavailable
Densityper km² · Higher wins ↑
178.1
29.5
Would win
Highest peakm · Higher wins ↑
3,002
3,018
Would lose
Coastlinekm · Higher wins ↑
0
2,234
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.4° S
16.0° N
Would win
17
Round 17Won29 countries · 4 lives left
DjiboutivsSerbia
Proximity to equator: 11.4° N vs 44.2° N from the equator · Closer wins ↓
Conquered Serbia.
Other category comparisons 1 other winning choice
All eight categories for Djibouti against Serbia
Category
Djibouti
Serbia
Result
Areakm² · Higher wins ↑
23,200
77,474
Would lose
Populationpeople · Higher wins ↑
1,152,944
6,623,183
Would lose
Wealth per personint’l $ · Higher wins ↑
7,232
29,777
Would lose
Densityper km² · Higher wins ↑
49.7
85.5
Would lose
Highest peakm · Higher wins ↑
2,021
2,169
Would lose
Coastlinekm · Higher wins ↑
314
0
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
11.4° N
44.2° N
Would win
18
Round 18Won30 countries · 4 lives left
NigervsChile
Population: 26,159,867 vs 19,658,835 people · Higher wins ↑
Conquered Chile.
Other category comparisons 2 other winning choices
All eight categories for Niger against Chile
Category
Niger
Chile
Result
Areakm² · Higher wins ↑
1,267,000
756,102
Would win
Populationpeople · Higher wins ↑ · Chosen
26,159,867
19,658,835
Would win
Wealth per personint’l $ · Higher wins ↑
1,903
33,174
Would lose
Densityper km² · Higher wins ↑
20.6
26.0
Would lose
Highest peakm · Higher wins ↑
2,022
6,893
Would lose
Coastlinekm · Higher wins ↑
0
6,435
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
17.6° N
23.4° S
Would win
19
Round 19Won31 countries · 4 lives left
KuwaitvsRomania
Wealth per person: 53,083 vs 45,982 int’l $ · Higher wins ↑
Conquered Romania.
Other category comparisons 4 other winning choices
All eight categories for Kuwait against Romania
Category
Kuwait
Romania
Result
Areakm² · Higher wins ↑
17,818
238,391
Would lose
Populationpeople · Higher wins ↑
4,853,420
19,061,062
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
53,083
45,982
Would win
Densityper km² · Higher wins ↑
272.4
80.0
Would win
Highest peakm · Higher wins ↑
300
2,544
Would lose
Coastlinekm · Higher wins ↑
499
225
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
29.4° N
45.7° N
Would win
20
Round 20Won32 countries · 4 lives left
IndonesiavsRussia
Density: 147.6 vs 8.4 per km² · Higher wins ↑
Conquered Russia.
Other category comparisons 3 other winning choices
All eight categories for Indonesia against Russia
Category
Indonesia
Russia
Result
Areakm² · Higher wins ↑
1,904,569
17,098,242
Would lose
Populationpeople · Higher wins ↑
281,190,067
143,826,130
Would win
Wealth per personint’l $ · Higher wins ↑
15,428
44,299
Would lose
Densityper km² · Higher wins ↑ · Chosen
147.6
8.4
Would win
Highest peakm · Higher wins ↑
4,884
5,642
Would lose
Coastlinekm · Higher wins ↑
54,716
37,653
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓