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Untimed expedition · Data edition 01051846d672
43Wins
2Losses
0Ties
Explore the final empire · 53 countries
No countries match your search.
The path through the world
One choice at a time.
45 rounds
Where it began · 12 countries
Republic of the Congo · Finland · Solomon Islands · Bhutan · North Macedonia · Somalia · Nicaragua · Latvia · Benin · Myanmar · South Sudan · Syria
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
Republic of the CongovsKyrgyzstan
Proximity to equator: 0.1° N vs 41.7° N from the equator · Closer wins ↓
Conquered Kyrgyzstan.
Other category comparisons 3 other winning choices
All eight categories for Republic of the Congo against Kyrgyzstan
Category
Republic of the Congo
Kyrgyzstan
Result
Areakm² · Higher wins ↑
342,000
199,951
Would win
Populationpeople · Higher wins ↑
6,182,885
7,099,750
Would lose
Wealth per personint’l $ · Higher wins ↑
6,856
7,304
Would lose
Densityper km² · Higher wins ↑
18.1
35.5
Would lose
Highest peakm · Higher wins ↑
1,020
7,439
Would lose
Coastlinekm · Higher wins ↑
169
0
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.1° N
41.7° N
Would win
2
Round 2Won14 countries · 4 lives left
FinlandvsAzerbaijan
Wealth per person: 63,467 vs 23,671 int’l $ · Higher wins ↑
Conquered Azerbaijan.
Other category comparisons 2 other winning choices
All eight categories for Finland against Azerbaijan
Category
Finland
Azerbaijan
Result
Areakm² · Higher wins ↑
338,145
86,600
Would win
Populationpeople · Higher wins ↑
5,583,911
10,153,958
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
63,467
23,671
Would win
Densityper km² · Higher wins ↑
16.5
117.3
Would lose
Highest peakm · Higher wins ↑
1,328
4,466
Would lose
Coastlinekm · Higher wins ↑
1,250
0
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
63.3° N
40.5° N
Would lose
3
Round 3Won15 countries · 4 lives left
Solomon IslandsvsAndorra
Area: 28,896 vs 468 km² · Higher wins ↑
Conquered Andorra.
Other category comparisons 3 other winning choices
All eight categories for Solomon Islands against Andorra
Category
Solomon Islands
Andorra
Result
Areakm² · Higher wins ↑ · Chosen
28,896
468
Would win
Populationpeople · Higher wins ↑
800,005
80,856
Would win
Wealth per personint’l $ · Higher wins ↑
2,599
71,790
Would lose
Densityper km² · Higher wins ↑
27.7
172.8
Would lose
Highest peakm · Higher wins ↑
2,335
2,946
Would lose
Coastlinekm · Higher wins ↑
5,313
0
Would win
Flag colourscolours · Higher wins ↑
4
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
9.6° S
42.5° N
Would win
4
Round 4Won16 countries · 4 lives left
BhutanvsSwitzerland
Highest peak: 7,570 vs 4,634 m · Higher wins ↑
Conquered Switzerland.
Other category comparisons 2 other winning choices
All eight categories for Bhutan against Switzerland
Category
Bhutan
Switzerland
Result
Areakm² · Higher wins ↑
38,394
41,277
Would lose
Populationpeople · Higher wins ↑
786,385
8,888,822
Would lose
Wealth per personint’l $ · Higher wins ↑
16,229
93,940
Would lose
Densityper km² · Higher wins ↑
20.5
215.3
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,570
4,634
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
27.5° N
46.7° N
Would win
5
Round 5Won17 countries · 4 lives left
North MacedoniavsIsrael
Highest peak: 2,764 vs 2,224 m · Higher wins ↑
Conquered Israel.
Other category comparisons 1 other winning choice
All eight categories for North Macedonia against Israel
Category
North Macedonia
Israel
Result
Areakm² · Higher wins ↑
25,713
21,937
Would win
Populationpeople · Higher wins ↑
1,827,816
9,849,000
Would lose
Wealth per personint’l $ · Higher wins ↑
25,354
55,301
Would lose
Densityper km² · Higher wins ↑
71.1
449.0
Would lose
Highest peakm · Higher wins ↑ · Chosen
2,764
2,224
Would win
Coastlinekm · Higher wins ↑
0
273
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
30.9° N
Would lose
6
Round 6Won18 countries · 4 lives left
SomaliavsChad
Coastline: 3,025 vs 0 km · Higher wins ↑
Conquered Chad.
Other category comparisons 2 other winning choices
All eight categories for Somalia against Chad
Category
Somalia
Chad
Result
Areakm² · Higher wins ↑
637,657
1,284,000
Would lose
Populationpeople · Higher wins ↑
18,358,615
19,319,064
Would lose
Wealth per personint’l $ · Higher wins ↑
1,557
2,703
Would lose
Densityper km² · Higher wins ↑
28.8
15.0
Would win
Highest peakm · Higher wins ↑
2,460
3,445
Would lose
Coastlinekm · Higher wins ↑ · Chosen
3,025
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
2.6° N
17.3° N
Would win
7
Round 7Won19 countries · 4 lives left
NicaraguavsGhana
Coastline: 910 vs 539 km · Higher wins ↑
Conquered Ghana.
Other category comparisons 3 other winning choices
All eight categories for Nicaragua against Ghana
Category
Nicaragua
Ghana
Result
Areakm² · Higher wins ↑
130,370
238,533
Would lose
Populationpeople · Higher wins ↑
6,823,613
33,787,914
Would lose
Wealth per personint’l $ · Higher wins ↑
8,327
7,563
Would win
Densityper km² · Higher wins ↑
52.3
141.6
Would lose
Highest peakm · Higher wins ↑
2,085
885
Would win
Coastlinekm · Higher wins ↑ · Chosen
910
539
Would win
Flag colourscolours · Higher wins ↑
10
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.6° N
7.0° N
Would lose
8
Round 8Won20 countries · 4 lives left
LatviavsBangladesh
Wealth per person: 42,784 vs 9,155 int’l $ · Higher wins ↑
Conquered Bangladesh.
Other category comparisons 0 other winning choices
All eight categories for Latvia against Bangladesh
Category
Latvia
Bangladesh
Result
Areakm² · Higher wins ↑
64,589
148,460
Would lose
Populationpeople · Higher wins ↑
1,883,710
171,466,990
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
42,784
9,155
Would win
Densityper km² · Higher wins ↑
29.2
1,155.0
Would lose
Highest peakm · Higher wins ↑
312
1,060
Would lose
Coastlinekm · Higher wins ↑
498
580
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
56.6° N
24.3° N
Would lose
9
Round 9Won21 countries · 4 lives left
BeninvsNigeria
Flag colours: 3 vs 2 colours · Higher wins ↑
Conquered Nigeria.
Other category comparisons 0 other winning choices
All eight categories for Benin against Nigeria
Category
Benin
Nigeria
Result
Areakm² · Higher wins ↑
112,622
923,768
Would lose
Populationpeople · Higher wins ↑
14,111,034
227,882,945
Would lose
Wealth per personint’l $ · Higher wins ↑
4,133
8,712
Would lose
Densityper km² · Higher wins ↑
125.3
246.7
Would lose
Highest peakm · Higher wins ↑
675
2,419
Would lose
Coastlinekm · Higher wins ↑
121
853
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
10.4° N
9.4° N
Would lose
10
Round 10Won22 countries · 4 lives left
MyanmarvsHonduras
Population: 54,133,798 vs 10,644,851 people · Higher wins ↑
Conquered Honduras.
Other category comparisons 4 other winning choices
All eight categories for Myanmar against Honduras
Category
Myanmar
Honduras
Result
Areakm² · Higher wins ↑
676,578
112,090
Would win
Populationpeople · Higher wins ↑ · Chosen
54,133,798
10,644,851
Would win
Wealth per personint’l $ · Higher wins ↑
5,958
7,184
Would lose
Densityper km² · Higher wins ↑
80.0
95.0
Would lose
Highest peakm · Higher wins ↑
5,870
2,870
Would win
Coastlinekm · Higher wins ↑
1,930
823
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° N
14.7° N
Would lose
11
Round 11Won23 countries · 4 lives left
South SudanvsMozambique
Proximity to equator: 7.1° N vs 14.0° S from the equator · Closer wins ↓
Conquered Mozambique.
Other category comparisons 2 other winning choices
All eight categories for South Sudan against Mozambique
Category
South Sudan
Mozambique
Result
Areakm² · Higher wins ↑
644,329
799,380
Would lose
Populationpeople · Higher wins ↑
11,483,374
33,635,160
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
1,680
Unavailable
Densityper km² · Higher wins ↑
17.8
42.1
Would lose
Highest peakm · Higher wins ↑
3,187
2,436
Would win
Coastlinekm · Higher wins ↑
0
2,470
Would lose
Flag colourscolours · Higher wins ↑
6
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.1° N
14.0° S
Would win
12
Round 12Won24 countries · 4 lives left
SyriavsCzechia
Population: 23,594,623 vs 10,864,042 people · Higher wins ↑
Conquered Czechia.
Other category comparisons 5 other winning choices
All eight categories for Syria against Czechia
Category
Syria
Czechia
Result
Areakm² · Higher wins ↑
187,437
78,867
Would win
Populationpeople · Higher wins ↑ · Chosen
23,594,623
10,864,042
Would win
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
Unavailable
56,062
Unavailable
Densityper km² · Higher wins ↑
125.9
137.8
Would lose
Highest peakm · Higher wins ↑
2,814
1,602
Would win
Coastlinekm · Higher wins ↑
193
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
35.0° N
49.8° N
Would win
13
Round 13Won25 countries · 4 lives left
Republic of the CongovsNorway
Proximity to equator: 0.1° N vs 61.5° N from the equator · Closer wins ↓
Conquered Norway.
Other category comparisons 3 other winning choices
All eight categories for Republic of the Congo against Norway
Category
Republic of the Congo
Norway
Result
Areakm² · Higher wins ↑
342,000
323,802
Would win
Populationpeople · Higher wins ↑
6,182,885
5,519,601
Would win
Wealth per personint’l $ · Higher wins ↑
6,856
107,768
Would lose
Densityper km² · Higher wins ↑
18.1
17.0
Would win
Highest peakm · Higher wins ↑
1,020
2,469
Would lose
Coastlinekm · Higher wins ↑
169
25,148
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.1° N
61.5° N
Would win
14
Round 14Won26 countries · 4 lives left
KyrgyzstanvsSaudi Arabia
Highest peak: 7,439 vs 3,000 m · Higher wins ↑
Conquered Saudi Arabia.
Other category comparisons 1 other winning choice
All eight categories for Kyrgyzstan against Saudi Arabia
Category
Kyrgyzstan
Saudi Arabia
Result
Areakm² · Higher wins ↑
199,951
2,149,690
Would lose
Populationpeople · Higher wins ↑
7,099,750
33,702,731
Would lose
Wealth per personint’l $ · Higher wins ↑
7,304
71,624
Would lose
Densityper km² · Higher wins ↑
35.5
15.7
Would win
Highest peakm · Higher wins ↑ · Chosen
7,439
3,000
Would win
Coastlinekm · Higher wins ↑
0
2,640
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
41.7° N
23.5° N
Would lose
15
Round 15Won27 countries · 4 lives left
FinlandvsPakistan
Wealth per person: 63,467 vs 6,019 int’l $ · Higher wins ↑
Conquered Pakistan.
Other category comparisons 1 other winning choice
All eight categories for Finland against Pakistan
Category
Finland
Pakistan
Result
Areakm² · Higher wins ↑
338,145
796,095
Would lose
Populationpeople · Higher wins ↑
5,583,911
247,504,495
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
63,467
6,019
Would win
Densityper km² · Higher wins ↑
16.5
310.9
Would lose
Highest peakm · Higher wins ↑
1,328
8,611
Would lose
Coastlinekm · Higher wins ↑
1,250
1,046
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
63.3° N
27.8° N
Would lose
16
Round 16Won28 countries · 4 lives left
AzerbaijanvsVanuatu
Highest peak: 4,466 vs 1,877 m · Higher wins ↑
Conquered Vanuatu.
Other category comparisons 4 other winning choices
All eight categories for Azerbaijan against Vanuatu
Category
Azerbaijan
Vanuatu
Result
Areakm² · Higher wins ↑
86,600
12,189
Would win
Populationpeople · Higher wins ↑
10,153,958
320,409
Would win
Wealth per personint’l $ · Higher wins ↑
23,671
4,202
Would win
Densityper km² · Higher wins ↑
117.3
26.3
Would win
Highest peakm · Higher wins ↑ · Chosen
4,466
1,877
Would win
Coastlinekm · Higher wins ↑
0
2,528
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
40.5° N
15.4° S
Would lose
17
Round 17Won29 countries · 4 lives left
Solomon IslandsvsAustria
Coastline: 5,313 vs 0 km · Higher wins ↑
Conquered Austria.
Other category comparisons 2 other winning choices
All eight categories for Solomon Islands against Austria
Category
Solomon Islands
Austria
Result
Areakm² · Higher wins ↑
28,896
83,871
Would lose
Populationpeople · Higher wins ↑
800,005
9,131,761
Would lose
Wealth per personint’l $ · Higher wins ↑
2,599
74,261
Would lose
Densityper km² · Higher wins ↑
27.7
108.9
Would lose
Highest peakm · Higher wins ↑
2,335
3,798
Would lose
Coastlinekm · Higher wins ↑ · Chosen
5,313
0
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
9.6° S
47.7° N
Would win
18
Round 18Won30 countries · 4 lives left
AndorravsItaly
Wealth per person: 71,790 vs 60,350 int’l $ · Higher wins ↑
Conquered Italy.
Other category comparisons 2 other winning choices
All eight categories for Andorra against Italy
Category
Andorra
Italy
Result
Areakm² · Higher wins ↑
468
301,340
Would lose
Populationpeople · Higher wins ↑
80,856
58,984,216
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
71,790
60,350
Would win
Densityper km² · Higher wins ↑
172.8
195.7
Would lose
Highest peakm · Higher wins ↑
2,946
4,748
Would lose
Coastlinekm · Higher wins ↑
0
7,600
Would lose
Flag colourscolours · Higher wins ↑
7
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
42.5° N
45.1° N
Would win
19
Round 19Won31 countries · 4 lives left
BhutanvsPeru
Highest peak: 7,570 vs 6,746 m · Higher wins ↑
Conquered Peru.
Other category comparisons 1 other winning choice
All eight categories for Bhutan against Peru
Category
Bhutan
Peru
Result
Areakm² · Higher wins ↑
38,394
1,285,216
Would lose
Populationpeople · Higher wins ↑
786,385
33,845,617
Would lose
Wealth per personint’l $ · Higher wins ↑
16,229
17,042
Would lose
Densityper km² · Higher wins ↑
20.5
26.3
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,570
6,746
Would win
Coastlinekm · Higher wins ↑
0
2,414
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
27.5° N
13.0° S
Would lose
20
Round 20Won32 countries · 4 lives left
SwitzerlandvsCentral African Republic
Wealth per person: 93,940 vs 1,258 int’l $ · Higher wins ↑
Conquered Central African Republic.
Other category comparisons 3 other winning choices
All eight categories for Switzerland against Central African Republic
Category
Switzerland
Central African Republic
Result
Areakm² · Higher wins ↑
41,277
622,984
Would lose
Populationpeople · Higher wins ↑
8,888,822
5,152,421
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
93,940
1,258
Would win
Densityper km² · Higher wins ↑
215.3
8.3
Would win
Highest peakm · Higher wins ↑
4,634
1,410
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓