Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
21
Round 21Lost31 countries · 3 lives left
Burkina FasovsPeru
Population: 23,025,776 vs 33,845,617 people · Higher wins ↑
Returned to the world: Burkina Faso.
Other category comparisons 3 other winning choices
All eight categories for Burkina Faso against Peru
Category
Burkina Faso
Peru
Result
Areakm² · Higher wins ↑
274,200
1,285,216
Would lose
Populationpeople · Higher wins ↑ · Chosen
23,025,776
33,845,617
Would lose
Wealth per personint’l $ · Higher wins ↑
2,762
17,042
Would lose
Densityper km² · Higher wins ↑
84.0
26.3
Would win
Highest peakm · Higher wins ↑
749
6,746
Would lose
Coastlinekm · Higher wins ↑
0
2,414
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.8° N
13.0° S
Would win
22
Round 22Won32 countries · 3 lives left
LibyavsLebanon
Area: 1,759,540 vs 10,400 km² · Higher wins ↑
Conquered Lebanon.
Other category comparisons 5 other winning choices
All eight categories for Libya against Lebanon
Category
Libya
Lebanon
Result
Areakm² · Higher wins ↑ · Chosen
1,759,540
10,400
Would win
Populationpeople · Higher wins ↑
7,305,659
5,773,493
Would win
Wealth per personint’l $ · Higher wins ↑
13,858
12,585
Would win
Densityper km² · Higher wins ↑
4.2
555.1
Would lose
Highest peakm · Higher wins ↑
2,267
3,088
Would lose
Coastlinekm · Higher wins ↑
1,770
225
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
34.2° N
Would win
23
Round 23Won33 countries · 3 lives left
Papua New GuineavsLaos
Area: 462,840 vs 236,800 km² · Higher wins ↑
Conquered Laos.
Other category comparisons 5 other winning choices
All eight categories for Papua New Guinea against Laos
Category
Papua New Guinea
Laos
Result
Areakm² · Higher wins ↑ · Chosen
462,840
236,800
Would win
Populationpeople · Higher wins ↑
10,389,635
7,664,993
Would win
Wealth per personint’l $ · Higher wins ↑
4,672
9,299
Would lose
Densityper km² · Higher wins ↑
22.4
32.4
Would lose
Highest peakm · Higher wins ↑
4,509
2,817
Would win
Coastlinekm · Higher wins ↑
5,152
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
19.6° N
Would win
24
Round 24Won34 countries · 3 lives left
BeninvsAustria
Proximity to equator: 10.4° N vs 47.7° N from the equator · Closer wins ↓
Conquered Austria.
Other category comparisons 5 other winning choices
All eight categories for Benin against Austria
Category
Benin
Austria
Result
Areakm² · Higher wins ↑
112,622
83,871
Would win
Populationpeople · Higher wins ↑
14,111,034
9,131,761
Would win
Wealth per personint’l $ · Higher wins ↑
4,133
74,261
Would lose
Densityper km² · Higher wins ↑
125.3
108.9
Would win
Highest peakm · Higher wins ↑
675
3,798
Would lose
Coastlinekm · Higher wins ↑
121
0
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.4° N
47.7° N
Would win
25
Round 25Won35 countries · 3 lives left
Dominican RepublicvsGuinea-Bissau
Wealth per person: 25,861 vs 2,956 int’l $ · Higher wins ↑
Conquered Guinea-Bissau.
Other category comparisons 6 other winning choices
All eight categories for Dominican Republic against Guinea-Bissau
Category
Dominican Republic
Guinea-Bissau
Result
Areakm² · Higher wins ↑
48,670
36,125
Would win
Populationpeople · Higher wins ↑
11,331,265
2,153,339
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
25,861
2,956
Would win
Densityper km² · Higher wins ↑
232.8
59.6
Would win
Highest peakm · Higher wins ↑
3,098
277
Would win
Coastlinekm · Higher wins ↑
1,288
350
Would win
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.1° N
12.1° N
Would lose
26
Round 26Won36 countries · 3 lives left
SpainvsSuriname
Wealth per person: 55,661 vs 21,128 int’l $ · Higher wins ↑
Conquered Suriname.
Other category comparisons 6 other winning choices
All eight categories for Spain against Suriname
Category
Spain
Suriname
Result
Areakm² · Higher wins ↑
505,370
163,820
Would win
Populationpeople · Higher wins ↑
48,352,528
628,886
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
55,661
21,128
Would win
Densityper km² · Higher wins ↑
95.7
3.8
Would win
Highest peakm · Higher wins ↑
3,718
1,230
Would win
Coastlinekm · Higher wins ↑
4,964
386
Would win
Flag colourscolours · Higher wins ↑
10
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.0° N
4.1° N
Would lose
27
Round 27Won37 countries · 3 lives left
IcelandvsAngola
Wealth per person: 82,257 vs 9,550 int’l $ · Higher wins ↑
Conquered Angola.
Other category comparisons 1 other winning choice
All eight categories for Iceland against Angola
Category
Iceland
Angola
Result
Areakm² · Higher wins ↑
103,000
1,246,700
Would lose
Populationpeople · Higher wins ↑
385,663
36,749,906
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
82,257
9,550
Would win
Densityper km² · Higher wins ↑
3.7
29.5
Would lose
Highest peakm · Higher wins ↑
2,110
2,620
Would lose
Coastlinekm · Higher wins ↑
4,970
1,600
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
64.7° N
13.2° S
Would lose
28
Round 28Won38 countries · 3 lives left
SingaporevsBelarus
Wealth per person: 144,728 vs 30,860 int’l $ · Higher wins ↑
Conquered Belarus.
Other category comparisons 3 other winning choices
All eight categories for Singapore against Belarus
Category
Singapore
Belarus
Result
Areakm² · Higher wins ↑
719
207,600
Would lose
Populationpeople · Higher wins ↑
5,917,648
9,178,298
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
144,728
30,860
Would win
Densityper km² · Higher wins ↑
8,230.4
44.2
Would win
Highest peakm · Higher wins ↑
166
346
Would lose
Coastlinekm · Higher wins ↑
193
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
53.8° N
Would win
29
Round 29Won39 countries · 3 lives left
NepalvsEswatini
Highest peak: 8,849 vs 1,862 m · Higher wins ↑
Conquered Eswatini.
Other category comparisons 3 other winning choices
All eight categories for Nepal against Eswatini
Category
Nepal
Eswatini
Result
Areakm² · Higher wins ↑
147,181
17,364
Would win
Populationpeople · Higher wins ↑
29,694,614
1,230,506
Would win
Wealth per personint’l $ · Higher wins ↑
5,400
11,309
Would lose
Densityper km² · Higher wins ↑
201.8
70.9
Would win
Highest peakm · Higher wins ↑ · Chosen
8,849
1,862
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
26.6° S
Would lose
30
Round 30Won40 countries · 3 lives left
SwitzerlandvsAlbania
Wealth per person: 93,940 vs 24,848 int’l $ · Higher wins ↑
Conquered Albania.
Other category comparisons 4 other winning choices
All eight categories for Switzerland against Albania
Category
Switzerland
Albania
Result
Areakm² · Higher wins ↑
41,277
28,748
Would win
Populationpeople · Higher wins ↑
8,888,822
2,411,658
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
93,940
24,848
Would win
Densityper km² · Higher wins ↑
215.3
83.9
Would win
Highest peakm · Higher wins ↑
4,634
2,764
Would win
Coastlinekm · Higher wins ↑
0
362
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
40.7° N
Would lose
31
Round 31Won41 countries · 3 lives left
ColombiavsGabon
Highest peak: 5,730 vs 1,050 m · Higher wins ↑
Conquered Gabon.
Other category comparisons 5 other winning choices
All eight categories for Colombia against Gabon
Category
Colombia
Gabon
Result
Areakm² · Higher wins ↑
1,138,910
267,667
Would win
Populationpeople · Higher wins ↑
52,321,152
2,484,789
Would win
Wealth per personint’l $ · Higher wins ↑
21,282
20,773
Would win
Densityper km² · Higher wins ↑
45.9
9.3
Would win
Highest peakm · Higher wins ↑ · Chosen
5,730
1,050
Would win
Coastlinekm · Higher wins ↑
3,208
885
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
3.4° N
0.6° S
Would lose
32
Round 32Won42 countries · 3 lives left
PanamavsSerbia
Proximity to equator: 8.4° N vs 44.2° N from the equator · Closer wins ↓
Conquered Serbia.
Other category comparisons 3 other winning choices
All eight categories for Panama against Serbia
Category
Panama
Serbia
Result
Areakm² · Higher wins ↑
75,420
77,474
Would lose
Populationpeople · Higher wins ↑
4,458,759
6,623,183
Would lose
Wealth per personint’l $ · Higher wins ↑
39,846
29,777
Would win
Densityper km² · Higher wins ↑
59.1
85.5
Would lose
Highest peakm · Higher wins ↑
3,475
2,169
Would win
Coastlinekm · Higher wins ↑
2,490
0
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.4° N
44.2° N
Would win
33
Round 33Won43 countries · 3 lives left
BhutanvsMexico
Highest peak: 7,570 vs 5,636 m · Higher wins ↑
Conquered Mexico.
Other category comparisons 0 other winning choices
All eight categories for Bhutan against Mexico
Category
Bhutan
Mexico
Result
Areakm² · Higher wins ↑
38,394
1,964,375
Would lose
Populationpeople · Higher wins ↑
786,385
129,739,759
Would lose
Wealth per personint’l $ · Higher wins ↑
16,229
25,188
Would lose
Densityper km² · Higher wins ↑
20.5
66.0
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,570
5,636
Would win
Coastlinekm · Higher wins ↑
0
9,330
Would lose
Flag colourscolours · Higher wins ↑
4
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.5° N
23.5° N
Would lose
34
Round 34Won44 countries · 3 lives left
MongoliavsNorth Korea
Area: 1,564,116 vs 120,538 km² · Higher wins ↑
Conquered North Korea.
Other category comparisons 1 other winning choice
All eight categories for Mongolia against North Korea
Category
Mongolia
North Korea
Result
Areakm² · Higher wins ↑ · Chosen
1,564,116
120,538
Would win
Populationpeople · Higher wins ↑
3,481,145
26,418,204
Would lose
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
18,020
Unavailable
Unavailable
Densityper km² · Higher wins ↑
2.2
219.2
Would lose
Highest peakm · Higher wins ↑
4,374
2,744
Would win
Coastlinekm · Higher wins ↑
0
2,495
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
46.0° N
39.9° N
Would lose
35
Round 35Won45 countries · 3 lives left
MadagascarvsEstonia
Area: 587,041 vs 45,228 km² · Higher wins ↑
Conquered Estonia.
Other category comparisons 5 other winning choices
All eight categories for Madagascar against Estonia
Category
Madagascar
Estonia
Result
Areakm² · Higher wins ↑ · Chosen
587,041
45,228
Would win
Populationpeople · Higher wins ↑
31,195,932
1,370,286
Would win
Wealth per personint’l $ · Higher wins ↑
1,810
48,848
Would lose
Densityper km² · Higher wins ↑
53.1
30.3
Would win
Highest peakm · Higher wins ↑
2,876
318
Would win
Coastlinekm · Higher wins ↑
4,828
3,794
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
18.4° S
58.6° N
Would win
36
Round 36Won46 countries · 3 lives left
NorwayvsBahrain
Area: 323,802 vs 760 km² · Higher wins ↑
Conquered Bahrain.
Other category comparisons 5 other winning choices
All eight categories for Norway against Bahrain
Category
Norway
Bahrain
Result
Areakm² · Higher wins ↑ · Chosen
323,802
760
Would win
Populationpeople · Higher wins ↑
5,519,601
1,577,059
Would win
Wealth per personint’l $ · Higher wins ↑
107,768
64,224
Would win
Densityper km² · Higher wins ↑
17.0
2,075.1
Would lose
Highest peakm · Higher wins ↑
2,469
135
Would win
Coastlinekm · Higher wins ↑
25,148
161
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
61.5° N
26.0° N
Would lose
37
Round 37Won47 countries · 3 lives left
IndonesiavsDR Congo
Population: 281,190,067 vs 105,789,731 people · Higher wins ↑
Conquered DR Congo.
Other category comparisons 4 other winning choices
All eight categories for Indonesia against DR Congo
Category
Indonesia
DR Congo
Result
Areakm² · Higher wins ↑
1,904,569
2,344,858
Would lose
Populationpeople · Higher wins ↑ · Chosen
281,190,067
105,789,731
Would win
Wealth per personint’l $ · Higher wins ↑
15,428
1,732
Would win
Densityper km² · Higher wins ↑
147.6
45.1
Would win
Highest peakm · Higher wins ↑
4,884
5,110
Would lose
Coastlinekm · Higher wins ↑
54,716
37
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.0° S
1.9° S
Would win
38
Round 38Won48 countries · 3 lives left
ParaguayvsSweden
Proximity to equator: 21.6° S vs 65.8° N from the equator · Closer wins ↓
Conquered Sweden.
Other category comparisons 1 other winning choice
All eight categories for Paraguay against Sweden
Category
Paraguay
Sweden
Result
Areakm² · Higher wins ↑
406,752
450,295
Would lose
Populationpeople · Higher wins ↑
6,844,146
10,536,632
Would lose
Wealth per personint’l $ · Higher wins ↑
17,585
68,458
Would lose
Densityper km² · Higher wins ↑
16.8
23.4
Would lose
Highest peakm · Higher wins ↑
842
2,100
Would lose
Coastlinekm · Higher wins ↑
0
3,218
Would lose
Flag colourscolours · Higher wins ↑
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
21.6° S
65.8° N
Would win
39
Round 39Won49 countries · 3 lives left
United StatesvsBurkina Faso
Population: 336,755,052 vs 23,025,776 people · Higher wins ↑
Conquered Burkina Faso.
Other category comparisons 4 other winning choices
All eight categories for United States against Burkina Faso
Category
United States
Burkina Faso
Result
Areakm² · Higher wins ↑
9,833,517
274,200
Would win
Populationpeople · Higher wins ↑ · Chosen
336,755,052
23,025,776
Would win
Wealth per personint’l $ · Higher wins ↑
82,587
2,762
Would win
Densityper km² · Higher wins ↑
34.2
84.0
Would lose
Highest peakm · Higher wins ↑
6,190
749
Would win
Coastlinekm · Higher wins ↑
19,924
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
12.8° N
Would lose
40
Round 40Won50 countries · 3 lives left
South KoreavsMozambique
Wealth per person: 57,430 vs 1,680 int’l $ · Higher wins ↑
Conquered Mozambique.
Other category comparisons 2 other winning choices
All eight categories for South Korea against Mozambique
Category
South Korea
Mozambique
Result
Areakm² · Higher wins ↑
99,720
799,380
Would lose
Populationpeople · Higher wins ↑
51,712,619
33,635,160
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
57,430
1,680
Would win
Densityper km² · Higher wins ↑
518.6
42.1
Would win
Highest peakm · Higher wins ↑
1,950
2,436
Would lose
Coastlinekm · Higher wins ↑
2,413
2,470
Would lose
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓