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Untimed expedition · Data edition 01051846d672
161Wins
2Losses
3Ties
Explore the final empire · 174 countries
No countries match your search.
The path through the world
One choice at a time.
166 rounds
Where it began · 12 countries
Bosnia and Herzegovina · Afghanistan · Kenya · Uganda · Bangladesh · India · Rwanda · Mongolia · Türkiye · Romania · Morocco · Suriname
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
121
Round 121Won131 countries · 3 lives left
LatviavsNepal
Coastline: 498 vs 0 km · Higher wins ↑
Conquered Nepal.
Other category comparisons 1 other winning choice
All eight categories for Latvia against Nepal
Category
Latvia
Nepal
Result
Areakm² · Higher wins ↑
64,589
147,181
Would lose
Populationpeople · Higher wins ↑
1,883,710
29,694,614
Would lose
Wealth per personint’l $ · Higher wins ↑
42,784
5,400
Would win
Densityper km² · Higher wins ↑
29.2
201.8
Would lose
Highest peakm · Higher wins ↑
312
8,849
Would lose
Coastlinekm · Higher wins ↑ · Chosen
498
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
56.6° N
29.0° N
Would lose
122
Round 122Won132 countries · 3 lives left
LibyavsEritrea
Area: 1,759,540 vs 117,600 km² · Higher wins ↑
Conquered Eritrea.
Other category comparisons 1 other winning choice
All eight categories for Libya against Eritrea
Category
Libya
Eritrea
Result
Areakm² · Higher wins ↑ · Chosen
1,759,540
117,600
Would win
Populationpeople · Higher wins ↑
7,305,659
3,470,390
Would win
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
13,858
Unavailable
Unavailable
Densityper km² · Higher wins ↑
4.2
29.5
Would lose
Highest peakm · Higher wins ↑
2,267
3,018
Would lose
Coastlinekm · Higher wins ↑
1,770
2,234
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
16.0° N
Would lose
123
Round 123Won133 countries · 3 lives left
EswatinivsGuinea-Bissau
Flag colours: 6 vs 4 colours · Higher wins ↑
Conquered Guinea-Bissau.
Other category comparisons 3 other winning choices
All eight categories for Eswatini against Guinea-Bissau
Category
Eswatini
Guinea-Bissau
Result
Areakm² · Higher wins ↑
17,364
36,125
Would lose
Populationpeople · Higher wins ↑
1,230,506
2,153,339
Would lose
Wealth per personint’l $ · Higher wins ↑
11,309
2,956
Would win
Densityper km² · Higher wins ↑
70.9
59.6
Would win
Highest peakm · Higher wins ↑
1,862
277
Would win
Coastlinekm · Higher wins ↑
0
350
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
26.6° S
12.1° N
Would lose
124
Round 124Won134 countries · 3 lives left
GambiavsSerbia
Proximity to equator: 13.6° N vs 44.2° N from the equator · Closer wins ↓
Conquered Serbia.
Other category comparisons 2 other winning choices
All eight categories for Gambia against Serbia
Category
Gambia
Serbia
Result
Areakm² · Higher wins ↑
11,300
77,474
Would lose
Populationpeople · Higher wins ↑
2,697,845
6,623,183
Would lose
Wealth per personint’l $ · Higher wins ↑
3,292
29,777
Would lose
Densityper km² · Higher wins ↑
238.7
85.5
Would win
Highest peakm · Higher wins ↑
63
2,169
Would lose
Coastlinekm · Higher wins ↑
80
0
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.6° N
44.2° N
Would win
125
Round 125Won135 countries · 3 lives left
IndiavsSwitzerland
Population: 1,438,069,596 vs 8,888,822 people · Higher wins ↑
Conquered Switzerland.
Other category comparisons 6 other winning choices
All eight categories for India against Switzerland
Category
India
Switzerland
Result
Areakm² · Higher wins ↑
3,287,263
41,277
Would win
Populationpeople · Higher wins ↑ · Chosen
1,438,069,596
8,888,822
Would win
Wealth per personint’l $ · Higher wins ↑
9,853
93,940
Would lose
Densityper km² · Higher wins ↑
437.5
215.3
Would win
Highest peakm · Higher wins ↑
8,586
4,634
Would win
Coastlinekm · Higher wins ↑
7,000
0
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
22.4° N
46.7° N
Would win
126
Round 126Won136 countries · 3 lives left
Republic of the CongovsNamibia
Proximity to equator: 0.1° N vs 20.6° S from the equator · Closer wins ↓
Conquered Namibia.
Other category comparisons 2 other winning choices
All eight categories for Republic of the Congo against Namibia
Category
Republic of the Congo
Namibia
Result
Areakm² · Higher wins ↑
342,000
824,292
Would lose
Populationpeople · Higher wins ↑
6,182,885
2,963,095
Would win
Wealth per personint’l $ · Higher wins ↑
6,856
11,248
Would lose
Densityper km² · Higher wins ↑
18.1
3.6
Would win
Highest peakm · Higher wins ↑
1,020
2,573
Would lose
Coastlinekm · Higher wins ↑
169
1,572
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.1° N
20.6° S
Would win
127
Round 127Won137 countries · 3 lives left
PanamavsMoldova
Proximity to equator: 8.4° N vs 47.5° N from the equator · Closer wins ↓
Conquered Moldova.
Other category comparisons 5 other winning choices
All eight categories for Panama against Moldova
Category
Panama
Moldova
Result
Areakm² · Higher wins ↑
75,420
33,851
Would win
Populationpeople · Higher wins ↑
4,458,759
2,457,783
Would win
Wealth per personint’l $ · Higher wins ↑
39,846
17,751
Would win
Densityper km² · Higher wins ↑
59.1
72.6
Would lose
Highest peakm · Higher wins ↑
3,475
430
Would win
Coastlinekm · Higher wins ↑
2,490
0
Would win
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.4° N
47.5° N
Would win
128
Round 128Won138 countries · 3 lives left
Burkina FasovsMauritania
Proximity to equator: 12.8° N vs 19.4° N from the equator · Closer wins ↓
Conquered Mauritania.
Other category comparisons 2 other winning choices
All eight categories for Burkina Faso against Mauritania
Category
Burkina Faso
Mauritania
Result
Areakm² · Higher wins ↑
274,200
1,030,700
Would lose
Populationpeople · Higher wins ↑
23,025,776
5,022,441
Would win
Wealth per personint’l $ · Higher wins ↑
2,762
6,972
Would lose
Densityper km² · Higher wins ↑
84.0
4.9
Would win
Highest peakm · Higher wins ↑
749
915
Would lose
Coastlinekm · Higher wins ↑
0
754
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.8° N
19.4° N
Would win
129
Round 129Won139 countries · 3 lives left
SingaporevsOman
Wealth per person: 144,728 vs 41,980 int’l $ · Higher wins ↑
Conquered Oman.
Other category comparisons 3 other winning choices
All eight categories for Singapore against Oman
Category
Singapore
Oman
Result
Areakm² · Higher wins ↑
719
309,500
Would lose
Populationpeople · Higher wins ↑
5,917,648
5,049,269
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
144,728
41,980
Would win
Densityper km² · Higher wins ↑
8,230.4
16.3
Would win
Highest peakm · Higher wins ↑
166
3,004
Would lose
Coastlinekm · Higher wins ↑
193
2,092
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
22.1° N
Would win
130
Round 130Won140 countries · 3 lives left
IraqvsLaos
Flag colours: 4 vs 3 colours · Higher wins ↑
Conquered Laos.
Other category comparisons 6 other winning choices
All eight categories for Iraq against Laos
Category
Iraq
Laos
Result
Areakm² · Higher wins ↑
438,317
236,800
Would win
Populationpeople · Higher wins ↑
45,074,049
7,664,993
Would win
Wealth per personint’l $ · Higher wins ↑
14,665
9,299
Would win
Densityper km² · Higher wins ↑
102.8
32.4
Would win
Highest peakm · Higher wins ↑
3,611
2,817
Would win
Coastlinekm · Higher wins ↑
58
0
Would win
Flag colourscolours · Higher wins ↑ · Chosen
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
33.3° N
19.6° N
Would lose
131
Round 131Won141 countries · 3 lives left
PhilippinesvsLebanon
Population: 114,891,199 vs 5,773,493 people · Higher wins ↑
Conquered Lebanon.
Other category comparisons 4 other winning choices
All eight categories for Philippines against Lebanon
Category
Philippines
Lebanon
Result
Areakm² · Higher wins ↑
300,000
10,400
Would win
Populationpeople · Higher wins ↑ · Chosen
114,891,199
5,773,493
Would win
Wealth per personint’l $ · Higher wins ↑
10,995
12,585
Would lose
Densityper km² · Higher wins ↑
383.0
555.1
Would lose
Highest peakm · Higher wins ↑
2,954
3,088
Would lose
Coastlinekm · Higher wins ↑
36,289
225
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.0° N
34.2° N
Would win
132
Round 132Won142 countries · 3 lives left
New ZealandvsZimbabwe
Wealth per person: 54,950 vs 5,796 int’l $ · Higher wins ↑
Conquered Zimbabwe.
Other category comparisons 2 other winning choices
All eight categories for New Zealand against Zimbabwe
Category
New Zealand
Zimbabwe
Result
Areakm² · Higher wins ↑
268,838
390,757
Would lose
Populationpeople · Higher wins ↑
5,200,000
16,340,822
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
54,950
5,796
Would win
Densityper km² · Higher wins ↑
19.3
41.8
Would lose
Highest peakm · Higher wins ↑
3,724
2,592
Would win
Coastlinekm · Higher wins ↑
15,134
0
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
45.3° S
19.0° S
Would lose
133
Round 133Won143 countries · 3 lives left
RwandavsBulgaria
Proximity to equator: 1.8° S vs 42.5° N from the equator · Closer wins ↓
Conquered Bulgaria.
Other category comparisons 3 other winning choices
All eight categories for Rwanda against Bulgaria
Category
Rwanda
Bulgaria
Result
Areakm² · Higher wins ↑
26,338
110,879
Would lose
Populationpeople · Higher wins ↑
13,954,471
6,446,596
Would win
Wealth per personint’l $ · Higher wins ↑
3,519
38,829
Would lose
Densityper km² · Higher wins ↑
529.8
58.1
Would win
Highest peakm · Higher wins ↑
4,519
2,925
Would win
Coastlinekm · Higher wins ↑
0
354
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.8° S
42.5° N
Would win
134
Round 134Won144 countries · 3 lives left
JapanvsChad
Wealth per person: 52,726 vs 2,703 int’l $ · Higher wins ↑
Conquered Chad.
Other category comparisons 4 other winning choices
All eight categories for Japan against Chad
Category
Japan
Chad
Result
Areakm² · Higher wins ↑
377,915
1,284,000
Would lose
Populationpeople · Higher wins ↑
124,516,650
19,319,064
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
52,726
2,703
Would win
Densityper km² · Higher wins ↑
329.5
15.0
Would win
Highest peakm · Higher wins ↑
3,776
3,445
Would win
Coastlinekm · Higher wins ↑
29,751
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
36.7° N
17.3° N
Would lose
135
Round 135Won145 countries · 3 lives left
UruguayvsIceland
Proximity to equator: 32.9° S vs 64.7° N from the equator · Closer wins ↓
Conquered Iceland.
Other category comparisons 4 other winning choices
All eight categories for Uruguay against Iceland
Category
Uruguay
Iceland
Result
Areakm² · Higher wins ↑
176,215
103,000
Would win
Populationpeople · Higher wins ↑
3,388,081
385,663
Would win
Wealth per personint’l $ · Higher wins ↑
34,546
82,257
Would lose
Densityper km² · Higher wins ↑
19.2
3.7
Would win
Highest peakm · Higher wins ↑
514
2,110
Would lose
Coastlinekm · Higher wins ↑
660
4,970
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
32.9° S
64.7° N
Would win
136
Round 136Lost144 countries · 2 lives left
VanuatuvsHonduras
Proximity to equator: 15.4° S vs 14.7° N from the equator · Closer wins ↓
Returned to the world: Vanuatu.
Other category comparisons 2 other winning choices
All eight categories for Vanuatu against Honduras
Category
Vanuatu
Honduras
Result
Areakm² · Higher wins ↑
12,189
112,090
Would lose
Populationpeople · Higher wins ↑
320,409
10,644,851
Would lose
Wealth per personint’l $ · Higher wins ↑
4,202
7,184
Would lose
Densityper km² · Higher wins ↑
26.3
95.0
Would lose
Highest peakm · Higher wins ↑
1,877
2,870
Would lose
Coastlinekm · Higher wins ↑
2,528
823
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
15.4° S
14.7° N
Would lose
137
Round 137Won145 countries · 2 lives left
TunisiavsSweden
Proximity to equator: 35.3° N vs 65.8° N from the equator · Closer wins ↓
Conquered Sweden.
Other category comparisons 2 other winning choices
All eight categories for Tunisia against Sweden
Category
Tunisia
Sweden
Result
Areakm² · Higher wins ↑
163,610
450,295
Would lose
Populationpeople · Higher wins ↑
12,200,431
10,536,632
Would win
Wealth per personint’l $ · Higher wins ↑
14,052
68,458
Would lose
Densityper km² · Higher wins ↑
74.6
23.4
Would win
Highest peakm · Higher wins ↑
1,544
2,100
Would lose
Coastlinekm · Higher wins ↑
1,148
3,218
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
35.3° N
65.8° N
Would win
138
Round 138Won146 countries · 2 lives left
BahrainvsVanuatu
Wealth per person: 64,224 vs 4,202 int’l $ · Higher wins ↑
Conquered Vanuatu.
Other category comparisons 2 other winning choices
All eight categories for Bahrain against Vanuatu
Category
Bahrain
Vanuatu
Result
Areakm² · Higher wins ↑
760
12,189
Would lose
Populationpeople · Higher wins ↑
1,577,059
320,409
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
64,224
4,202
Would win
Densityper km² · Higher wins ↑
2,075.1
26.3
Would win
Highest peakm · Higher wins ↑
135
1,877
Would lose
Coastlinekm · Higher wins ↑
161
2,528
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
26.0° N
15.4° S
Would lose
139
Round 139Won147 countries · 2 lives left
JordanvsSlovenia
Proximity to equator: 30.7° N vs 46.0° N from the equator · Closer wins ↓
Conquered Slovenia.
Other category comparisons 3 other winning choices
All eight categories for Jordan against Slovenia
Category
Jordan
Slovenia
Result
Areakm² · Higher wins ↑
89,342
20,273
Would win
Populationpeople · Higher wins ↑
11,439,213
2,120,461
Would win
Wealth per personint’l $ · Higher wins ↑
11,451
56,151
Would lose
Densityper km² · Higher wins ↑
128.0
104.6
Would win
Highest peakm · Higher wins ↑
1,854
2,864
Would lose
Coastlinekm · Higher wins ↑
26
46.6
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
30.7° N
46.0° N
Would win
140
Round 140Won148 countries · 2 lives left
IndonesiavsLesotho
Population: 281,190,067 vs 2,311,472 people · Higher wins ↑
Conquered Lesotho.
Other category comparisons 6 other winning choices
All eight categories for Indonesia against Lesotho
Category
Indonesia
Lesotho
Result
Areakm² · Higher wins ↑
1,904,569
30,355
Would win
Populationpeople · Higher wins ↑ · Chosen
281,190,067
2,311,472
Would win
Wealth per personint’l $ · Higher wins ↑
15,428
2,880
Would win
Densityper km² · Higher wins ↑
147.6
76.1
Would win
Highest peakm · Higher wins ↑
4,884
3,482
Would win
Coastlinekm · Higher wins ↑
54,716
0
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓