Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
61
Round 61Won67 countries · 1 life left
EritreavsNiger
Coastline: 2,234 vs 0 km · Higher wins ↑
Conquered Niger.
Other category comparisons 4 other winning choices
All eight categories for Eritrea against Niger
Category
Eritrea
Niger
Result
Areakm² · Higher wins ↑
117,600
1,267,000
Would lose
Populationpeople · Higher wins ↑
3,470,390
26,159,867
Would lose
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
Unavailable
1,903
Unavailable
Densityper km² · Higher wins ↑
29.5
20.6
Would win
Highest peakm · Higher wins ↑
3,018
2,022
Would win
Coastlinekm · Higher wins ↑ · Chosen
2,234
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.0° N
17.6° N
Would win
62
Round 62Won68 countries · 1 life left
UgandavsSouth Africa
Proximity to equator: 2.0° N vs 30.2° S from the equator · Closer wins ↓
Conquered South Africa.
Other category comparisons 2 other winning choices
All eight categories for Uganda against South Africa
Category
Uganda
South Africa
Result
Areakm² · Higher wins ↑
241,038
1,219,090
Would lose
Populationpeople · Higher wins ↑
48,656,601
63,212,384
Would lose
Wealth per personint’l $ · Higher wins ↑
3,100
15,212
Would lose
Densityper km² · Higher wins ↑
201.9
51.9
Would win
Highest peakm · Higher wins ↑
5,110
3,450
Would win
Coastlinekm · Higher wins ↑
0
2,798
Would lose
Flag colourscolours · Higher wins ↑
5
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
2.0° N
30.2° S
Would win
63
Round 63Won69 countries · 1 life left
BangladeshvsEl Salvador
Population: 171,466,990 vs 6,309,624 people · Higher wins ↑
Conquered El Salvador.
Other category comparisons 3 other winning choices
All eight categories for Bangladesh against El Salvador
Category
Bangladesh
El Salvador
Result
Areakm² · Higher wins ↑
148,460
21,041
Would win
Populationpeople · Higher wins ↑ · Chosen
171,466,990
6,309,624
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
12,667
Would lose
Densityper km² · Higher wins ↑
1,155.0
299.9
Would win
Highest peakm · Higher wins ↑
1,060
2,730
Would lose
Coastlinekm · Higher wins ↑
580
307
Would win
Flag colourscolours · Higher wins ↑
2
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
13.9° N
Would lose
64
Round 64Won70 countries · 1 life left
JordanvsDR Congo
Wealth per person: 11,451 vs 1,732 int’l $ · Higher wins ↑
Conquered DR Congo.
Other category comparisons 2 other winning choices
All eight categories for Jordan against DR Congo
Category
Jordan
DR Congo
Result
Areakm² · Higher wins ↑
89,342
2,344,858
Would lose
Populationpeople · Higher wins ↑
11,439,213
105,789,731
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
11,451
1,732
Would win
Densityper km² · Higher wins ↑
128.0
45.1
Would win
Highest peakm · Higher wins ↑
1,854
5,110
Would lose
Coastlinekm · Higher wins ↑
26
37
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
30.7° N
1.9° S
Would lose
65
Round 65Won71 countries · 1 life left
North KoreavsSuriname
Population: 26,418,204 vs 628,886 people · Higher wins ↑
Conquered Suriname.
Other category comparisons 3 other winning choices
All eight categories for North Korea against Suriname
Category
North Korea
Suriname
Result
Areakm² · Higher wins ↑
120,538
163,820
Would lose
Populationpeople · Higher wins ↑ · Chosen
26,418,204
628,886
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
21,128
Unavailable
Densityper km² · Higher wins ↑
219.2
3.8
Would win
Highest peakm · Higher wins ↑
2,744
1,230
Would win
Coastlinekm · Higher wins ↑
2,495
386
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
4.1° N
Would lose
66
Round 66Won72 countries · 1 life left
RussiavsComoros
Area: 17,098,242 vs 2,235 km² · Higher wins ↑
Conquered Comoros.
Other category comparisons 4 other winning choices
All eight categories for Russia against Comoros
Category
Russia
Comoros
Result
Areakm² · Higher wins ↑ · Chosen
17,098,242
2,235
Would win
Populationpeople · Higher wins ↑
143,826,130
850,387
Would win
Wealth per personint’l $ · Higher wins ↑
44,299
3,897
Would win
Densityper km² · Higher wins ↑
8.4
380.5
Would lose
Highest peakm · Higher wins ↑
5,642
2,360
Would win
Coastlinekm · Higher wins ↑
37,653
340
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
63.6° N
11.7° S
Would lose
67
Round 67Won73 countries · 1 life left
ZambiavsPoland
Proximity to equator: 14.7° S vs 51.9° N from the equator · Closer wins ↓
Conquered Poland.
Other category comparisons 2 other winning choices
All eight categories for Zambia against Poland
Category
Zambia
Poland
Result
Areakm² · Higher wins ↑
752,618
312,685
Would win
Populationpeople · Higher wins ↑
20,723,965
36,687,353
Would lose
Wealth per personint’l $ · Higher wins ↑
4,080
48,473
Would lose
Densityper km² · Higher wins ↑
27.5
117.3
Would lose
Highest peakm · Higher wins ↑
2,330
2,499
Would lose
Coastlinekm · Higher wins ↑
0
440
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
14.7° S
51.9° N
Would win
68
Round 68Won74 countries · 1 life left
MongoliavsDominican Republic
Area: 1,564,116 vs 48,670 km² · Higher wins ↑
Conquered Dominican Republic.
Other category comparisons 1 other winning choice
All eight categories for Mongolia against Dominican Republic
Category
Mongolia
Dominican Republic
Result
Areakm² · Higher wins ↑ · Chosen
1,564,116
48,670
Would win
Populationpeople · Higher wins ↑
3,481,145
11,331,265
Would lose
Wealth per personint’l $ · Higher wins ↑
18,020
25,861
Would lose
Densityper km² · Higher wins ↑
2.2
232.8
Would lose
Highest peakm · Higher wins ↑
4,374
3,098
Would win
Coastlinekm · Higher wins ↑
0
1,288
Would lose
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.0° N
19.1° N
Would lose
69
Round 69Tied74 countries · 1 life left
HungaryvsChile
Flag colours: 3 vs 3 colours · Higher wins ↑
Chile became contested.
Other category comparisons 2 other winning choices
All eight categories for Hungary against Chile
Category
Hungary
Chile
Result
Areakm² · Higher wins ↑
93,028
756,102
Would lose
Populationpeople · Higher wins ↑
9,592,186
19,658,835
Would lose
Wealth per personint’l $ · Higher wins ↑
46,376
33,174
Would win
Densityper km² · Higher wins ↑
103.1
26.0
Would win
Highest peakm · Higher wins ↑
1,014
6,893
Would lose
Coastlinekm · Higher wins ↑
0
6,435
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
47.3° N
23.4° S
Would lose
70
Round 70Won76 countries · 1 life left
LithuaniavsArgentina
Density: 44.0 vs 16.4 per km² · Higher wins ↑
Conquered Argentina, Chile.
Other category comparisons 1 other winning choice
All eight categories for Lithuania against Argentina
Category
Lithuania
Argentina
Result
Areakm² · Higher wins ↑
65,300
2,780,400
Would lose
Populationpeople · Higher wins ↑
2,871,585
45,538,401
Would lose
Wealth per personint’l $ · Higher wins ↑
52,720
30,246
Would win
Densityper km² · Higher wins ↑ · Chosen
44.0
16.4
Would win
Highest peakm · Higher wins ↑
294
6,962
Would lose
Coastlinekm · Higher wins ↑
90
4,989
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.1° N
31.4° S
Would lose
71
Round 71Won77 countries · 1 life left
TürkiyevsPakistan
Wealth per person: 43,196 vs 6,019 int’l $ · Higher wins ↑
Conquered Pakistan.
Other category comparisons 1 other winning choice
All eight categories for Türkiye against Pakistan
Category
Türkiye
Pakistan
Result
Areakm² · Higher wins ↑
783,562
796,095
Would lose
Populationpeople · Higher wins ↑
85,325,965
247,504,495
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
43,196
6,019
Would win
Densityper km² · Higher wins ↑
108.9
310.9
Would lose
Highest peakm · Higher wins ↑
5,137
8,611
Would lose
Coastlinekm · Higher wins ↑
7,200
1,046
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
27.8° N
Would lose
72
Round 72Won78 countries · 1 life left
EgyptvsSaudi Arabia
Flag colours: 4 vs 2 colours · Higher wins ↑
Conquered Saudi Arabia.
Other category comparisons 2 other winning choices
All eight categories for Egypt against Saudi Arabia
Category
Egypt
Saudi Arabia
Result
Areakm² · Higher wins ↑
1,001,450
2,149,690
Would lose
Populationpeople · Higher wins ↑
114,535,772
33,702,731
Would win
Wealth per personint’l $ · Higher wins ↑
18,540
71,624
Would lose
Densityper km² · Higher wins ↑
114.4
15.7
Would win
Highest peakm · Higher wins ↑
2,629
3,000
Would lose
Coastlinekm · Higher wins ↑
2,450
2,640
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
26.3° N
23.5° N
Would lose
73
Round 73Won79 countries · 1 life left
SwedenvsUkraine
Wealth per person: 68,458 vs 17,680 int’l $ · Higher wins ↑
Conquered Ukraine.
Other category comparisons 2 other winning choices
All eight categories for Sweden against Ukraine
Category
Sweden
Ukraine
Result
Areakm² · Higher wins ↑
450,295
603,550
Would lose
Populationpeople · Higher wins ↑
10,536,632
37,732,836
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
68,458
17,680
Would win
Densityper km² · Higher wins ↑
23.4
62.5
Would lose
Highest peakm · Higher wins ↑
2,100
2,061
Would win
Coastlinekm · Higher wins ↑
3,218
2,782
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
65.8° N
49.6° N
Would lose
74
Round 74Won80 countries · 1 life left
FrancevsPhilippines
Wealth per person: 60,927 vs 10,995 int’l $ · Higher wins ↑
Conquered Philippines.
Other category comparisons 2 other winning choices
All eight categories for France against Philippines
Category
France
Philippines
Result
Areakm² · Higher wins ↑
551,500
300,000
Would win
Populationpeople · Higher wins ↑
65,925,961
114,891,199
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
60,927
10,995
Would win
Densityper km² · Higher wins ↑
119.5
383.0
Would lose
Highest peakm · Higher wins ↑
4,810
2,954
Would win
Coastlinekm · Higher wins ↑
3,427
36,289
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
17.0° N
Would lose
75
Round 75Won81 countries · 1 life left
VenezuelavsIndia
Proximity to equator: 7.2° N vs 22.4° N from the equator · Closer wins ↓
Conquered India.
Other category comparisons 0 other winning choices
All eight categories for Venezuela against India
Category
Venezuela
India
Result
Areakm² · Higher wins ↑
912,050
3,287,263
Would lose
Populationpeople · Higher wins ↑
28,300,854
1,438,069,596
Would lose
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
Unavailable
9,853
Unavailable
Densityper km² · Higher wins ↑
31.0
437.5
Would lose
Highest peakm · Higher wins ↑
4,978
8,586
Would lose
Coastlinekm · Higher wins ↑
2,800
7,000
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.2° N
22.4° N
Would win
76
Round 76Won82 countries · 1 life left
Guinea-BissauvsEswatini
Proximity to equator: 12.1° N vs 26.6° S from the equator · Closer wins ↓
Conquered Eswatini.
Other category comparisons 3 other winning choices
All eight categories for Guinea-Bissau against Eswatini
Category
Guinea-Bissau
Eswatini
Result
Areakm² · Higher wins ↑
36,125
17,364
Would win
Populationpeople · Higher wins ↑
2,153,339
1,230,506
Would win
Wealth per personint’l $ · Higher wins ↑
2,956
11,309
Would lose
Densityper km² · Higher wins ↑
59.6
70.9
Would lose
Highest peakm · Higher wins ↑
277
1,862
Would lose
Coastlinekm · Higher wins ↑
350
0
Would win
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.1° N
26.6° S
Would win
77
Round 77Won83 countries · 1 life left
EcuadorvsBahamas
Proximity to equator: 1.2° S vs 24.7° N from the equator · Closer wins ↓
Conquered Bahamas.
Other category comparisons 5 other winning choices
All eight categories for Ecuador against Bahamas
Category
Ecuador
Bahamas
Result
Areakm² · Higher wins ↑
283,561
13,880
Would win
Populationpeople · Higher wins ↑
17,980,083
399,440
Would win
Wealth per personint’l $ · Higher wins ↑
15,907
39,122
Would lose
Densityper km² · Higher wins ↑
63.4
28.8
Would win
Highest peakm · Higher wins ↑
6,267
64
Would win
Coastlinekm · Higher wins ↑
2,237
3,542
Would lose
Flag colourscolours · Higher wins ↑
11
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.2° S
24.7° N
Would win
78
Round 78Won84 countries · 1 life left
MauritiusvsAlbania
Density: 612.1 vs 83.9 per km² · Higher wins ↑
Conquered Albania.
Other category comparisons 3 other winning choices
All eight categories for Mauritius against Albania
Category
Mauritius
Albania
Result
Areakm² · Higher wins ↑
2,040
28,748
Would lose
Populationpeople · Higher wins ↑
1,248,647
2,411,658
Would lose
Wealth per personint’l $ · Higher wins ↑
29,403
24,848
Would win
Densityper km² · Higher wins ↑ · Chosen
612.1
83.9
Would win
Highest peakm · Higher wins ↑
828
2,764
Would lose
Coastlinekm · Higher wins ↑
177
362
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
20.3° S
40.7° N
Would win
79
Round 79Won85 countries · 1 life left
United StatesvsDjibouti
Population: 336,755,052 vs 1,152,944 people · Higher wins ↑
Conquered Djibouti.
Other category comparisons 4 other winning choices
All eight categories for United States against Djibouti
Category
United States
Djibouti
Result
Areakm² · Higher wins ↑
9,833,517
23,200
Would win
Populationpeople · Higher wins ↑ · Chosen
336,755,052
1,152,944
Would win
Wealth per personint’l $ · Higher wins ↑
82,587
7,232
Would win
Densityper km² · Higher wins ↑
34.2
49.7
Would lose
Highest peakm · Higher wins ↑
6,190
2,021
Would win
Coastlinekm · Higher wins ↑
19,924
314
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
11.4° N
Would lose
80
Round 80Lost84 countries · 0 lives left
ChadvsCambodia
Proximity to equator: 17.3° N vs 12.6° N from the equator · Closer wins ↓
Returned to the world: Chad.
Other category comparisons 3 other winning choices
All eight categories for Chad against Cambodia
Category
Chad
Cambodia
Result
Areakm² · Higher wins ↑
1,284,000
181,035
Would win
Populationpeople · Higher wins ↑
19,319,064
17,423,880
Would win
Wealth per personint’l $ · Higher wins ↑
2,703
7,437
Would lose
Densityper km² · Higher wins ↑
15.0
96.2
Would lose
Highest peakm · Higher wins ↑
3,445
1,810
Would win
Coastlinekm · Higher wins ↑
0
443
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
Eritreavs
Niger
Uganda
South Africa
Bangladesh
El Salvador
Jordan
DR Congo
North Korea
Suriname
Russia
Comoros
Zambia
Poland
Mongolia
Dominican Republic
Hungary
Chile
Lithuania
Argentina
Türkiye
Pakistan
Egypt
Saudi Arabia
Sweden
Ukraine
France
Philippines
Venezuela
India
Guinea-Bissau
Eswatini
Ecuador
Bahamas
Mauritius
Albania
United States
Djibouti
Chad
Cambodia