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Untimed expedition · Data edition 01051846d672
74Wins
3Losses
1Ties
Explore the final empire · 84 countries
No countries match your search.
The path through the world
One choice at a time.
78 rounds
Where it began · 12 countries
Côte d’Ivoire · South Africa · Cambodia · Algeria · Indonesia · Argentina · South Korea · Cameroon · Sri Lanka · New Zealand · Hungary · Fiji
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 21Won33 countries · 4 lives left
IndonesiavsFinland
Population: 281,190,067 vs 5,583,911 people · Higher wins ↑
Conquered Finland.
Other category comparisons 5 other winning choices
All eight categories for Indonesia against Finland
Category
Indonesia
Finland
Result
Areakm² · Higher wins ↑
1,904,569
338,145
Would win
Populationpeople · Higher wins ↑ · Chosen
281,190,067
5,583,911
Would win
Wealth per personint’l $ · Higher wins ↑
15,428
63,467
Would lose
Densityper km² · Higher wins ↑
147.6
16.5
Would win
Highest peakm · Higher wins ↑
4,884
1,328
Would win
Coastlinekm · Higher wins ↑
54,716
1,250
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
1.0° S
63.3° N
Would win
22
Round 22Won34 countries · 4 lives left
VenezuelavsDjibouti
Area: 912,050 vs 23,200 km² · Higher wins ↑
Conquered Djibouti.
Other category comparisons 4 other winning choices
All eight categories for Venezuela against Djibouti
Category
Venezuela
Djibouti
Result
Areakm² · Higher wins ↑ · Chosen
912,050
23,200
Would win
Populationpeople · Higher wins ↑
28,300,854
1,152,944
Would win
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
Unavailable
7,232
Unavailable
Densityper km² · Higher wins ↑
31.0
49.7
Would lose
Highest peakm · Higher wins ↑
4,978
2,021
Would win
Coastlinekm · Higher wins ↑
2,800
314
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
7.2° N
11.4° N
Would win
23
Round 23Won35 countries · 4 lives left
ArgentinavsFrance
Area: 2,780,400 vs 551,500 km² · Higher wins ↑
Conquered France.
Other category comparisons 4 other winning choices
All eight categories for Argentina against France
Category
Argentina
France
Result
Areakm² · Higher wins ↑ · Chosen
2,780,400
551,500
Would win
Populationpeople · Higher wins ↑
45,538,401
65,925,961
Would lose
Wealth per personint’l $ · Higher wins ↑
30,246
60,927
Would lose
Densityper km² · Higher wins ↑
16.4
119.5
Would lose
Highest peakm · Higher wins ↑
6,962
4,810
Would win
Coastlinekm · Higher wins ↑
4,989
3,427
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
31.4° S
46.7° N
Would win
24
Round 24Won36 countries · 4 lives left
JamaicavsBahamas
Density: 258.4 vs 28.8 per km² · Higher wins ↑
Conquered Bahamas.
Other category comparisons 3 other winning choices
All eight categories for Jamaica against Bahamas
Category
Jamaica
Bahamas
Result
Areakm² · Higher wins ↑
10,991
13,880
Would lose
Populationpeople · Higher wins ↑
2,839,786
399,440
Would win
Wealth per personint’l $ · Higher wins ↑
12,661
39,122
Would lose
Densityper km² · Higher wins ↑ · Chosen
258.4
28.8
Would win
Highest peakm · Higher wins ↑
2,256
64
Would win
Coastlinekm · Higher wins ↑
1,022
3,542
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
18.1° N
24.7° N
Would win
25
Round 25Won37 countries · 4 lives left
South KoreavsAfghanistan
Density: 518.6 vs 63.6 per km² · Higher wins ↑
Conquered Afghanistan.
Other category comparisons 3 other winning choices
All eight categories for South Korea against Afghanistan
Category
South Korea
Afghanistan
Result
Areakm² · Higher wins ↑
99,720
652,230
Would lose
Populationpeople · Higher wins ↑
51,712,619
41,454,761
Would win
Wealth per personint’l $ · Higher wins ↑
57,430
2,204
Would win
Densityper km² · Higher wins ↑ · Chosen
518.6
63.6
Would win
Highest peakm · Higher wins ↑
1,950
7,492
Would lose
Coastlinekm · Higher wins ↑
2,413
0
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
36.3° N
34.3° N
Would lose
26
Round 26Won38 countries · 4 lives left
LesothovsRomania
Proximity to equator: 29.4° S vs 45.7° N from the equator · Closer wins ↓
Conquered Romania.
Other category comparisons 2 other winning choices
All eight categories for Lesotho against Romania
Category
Lesotho
Romania
Result
Areakm² · Higher wins ↑
30,355
238,391
Would lose
Populationpeople · Higher wins ↑
2,311,472
19,061,062
Would lose
Wealth per personint’l $ · Higher wins ↑
2,880
45,982
Would lose
Densityper km² · Higher wins ↑
76.1
80.0
Would lose
Highest peakm · Higher wins ↑
3,482
2,544
Would win
Coastlinekm · Higher wins ↑
0
225
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
29.4° S
45.7° N
Would win
27
Round 27Won39 countries · 4 lives left
CameroonvsSerbia
Area: 475,440 vs 77,474 km² · Higher wins ↑
Conquered Serbia.
Other category comparisons 4 other winning choices
All eight categories for Cameroon against Serbia
Category
Cameroon
Serbia
Result
Areakm² · Higher wins ↑ · Chosen
475,440
77,474
Would win
Populationpeople · Higher wins ↑
28,372,687
6,623,183
Would win
Wealth per personint’l $ · Higher wins ↑
5,415
29,777
Would lose
Densityper km² · Higher wins ↑
59.7
85.5
Would lose
Highest peakm · Higher wins ↑
4,045
2,169
Would win
Coastlinekm · Higher wins ↑
402
0
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
44.2° N
Would win
28
Round 28Won40 countries · 4 lives left
TogovsGabon
Density: 144.8 vs 9.3 per km² · Higher wins ↑
Conquered Gabon.
Other category comparisons 2 other winning choices
All eight categories for Togo against Gabon
Category
Togo
Gabon
Result
Areakm² · Higher wins ↑
56,785
267,667
Would lose
Populationpeople · Higher wins ↑
8,223,850
2,484,789
Would win
Wealth per personint’l $ · Higher wins ↑
3,572
20,773
Would lose
Densityper km² · Higher wins ↑ · Chosen
144.8
9.3
Would win
Highest peakm · Higher wins ↑
986
1,050
Would lose
Coastlinekm · Higher wins ↑
56
885
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
8.9° N
0.6° S
Would lose
29
Round 29Won41 countries · 4 lives left
Sri LankavsSouth Sudan
Density: 335.9 vs 17.8 per km² · Higher wins ↑
Conquered South Sudan.
Other category comparisons 2 other winning choices
All eight categories for Sri Lanka against South Sudan
Category
Sri Lanka
South Sudan
Result
Areakm² · Higher wins ↑
65,610
644,329
Would lose
Populationpeople · Higher wins ↑
22,037,000
11,483,374
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
14,512
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
335.9
17.8
Would win
Highest peakm · Higher wins ↑
2,524
3,187
Would lose
Coastlinekm · Higher wins ↑
1,340
0
Would win
Flag colourscolours · Higher wins ↑
5
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
7.1° N
Would tie
30
Round 30Won42 countries · 4 lives left
Costa RicavsAndorra
Area: 51,100 vs 468 km² · Higher wins ↑
Conquered Andorra.
Other category comparisons 4 other winning choices
All eight categories for Costa Rica against Andorra
Category
Costa Rica
Andorra
Result
Areakm² · Higher wins ↑ · Chosen
51,100
468
Would win
Populationpeople · Higher wins ↑
5,105,525
80,856
Would win
Wealth per personint’l $ · Higher wins ↑
29,248
71,790
Would lose
Densityper km² · Higher wins ↑
99.9
172.8
Would lose
Highest peakm · Higher wins ↑
3,819
2,946
Would win
Coastlinekm · Higher wins ↑
1,290
0
Would win
Flag colourscolours · Higher wins ↑
3
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
10.1° N
42.5° N
Would win
31
Round 31Won43 countries · 4 lives left
New ZealandvsNorth Macedonia
Area: 268,838 vs 25,713 km² · Higher wins ↑
Conquered North Macedonia.
Other category comparisons 5 other winning choices
All eight categories for New Zealand against North Macedonia
Category
New Zealand
North Macedonia
Result
Areakm² · Higher wins ↑ · Chosen
268,838
25,713
Would win
Populationpeople · Higher wins ↑
5,200,000
1,827,816
Would win
Wealth per personint’l $ · Higher wins ↑
54,950
25,354
Would win
Densityper km² · Higher wins ↑
19.3
71.1
Would lose
Highest peakm · Higher wins ↑
3,724
2,764
Would win
Coastlinekm · Higher wins ↑
15,134
0
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
45.3° S
41.5° N
Would lose
32
Round 32Won44 countries · 4 lives left
MaldivesvsEthiopia
Density: 1,765.1 vs 116.5 per km² · Higher wins ↑
Conquered Ethiopia.
Other category comparisons 3 other winning choices
All eight categories for Maldives against Ethiopia
Category
Maldives
Ethiopia
Result
Areakm² · Higher wins ↑
298
1,104,300
Would lose
Populationpeople · Higher wins ↑
525,994
128,691,692
Would lose
Wealth per personint’l $ · Higher wins ↑
24,807
3,063
Would win
Densityper km² · Higher wins ↑ · Chosen
1,765.1
116.5
Would win
Highest peakm · Higher wins ↑
5
4,550
Would lose
Coastlinekm · Higher wins ↑
644
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
3.3° N
8.5° N
Would win
33
Round 33Won45 countries · 4 lives left
HungaryvsMauritius
Area: 93,028 vs 2,040 km² · Higher wins ↑
Conquered Mauritius.
Other category comparisons 3 other winning choices
All eight categories for Hungary against Mauritius
Category
Hungary
Mauritius
Result
Areakm² · Higher wins ↑ · Chosen
93,028
2,040
Would win
Populationpeople · Higher wins ↑
9,592,186
1,248,647
Would win
Wealth per personint’l $ · Higher wins ↑
46,376
29,403
Would win
Densityper km² · Higher wins ↑
103.1
612.1
Would lose
Highest peakm · Higher wins ↑
1,014
828
Would win
Coastlinekm · Higher wins ↑
0
177
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
47.3° N
20.3° S
Would lose
34
Round 34Won46 countries · 4 lives left
BangladeshvsCzechia
Population: 171,466,990 vs 10,864,042 people · Higher wins ↑
Conquered Czechia.
Other category comparisons 4 other winning choices
All eight categories for Bangladesh against Czechia
Category
Bangladesh
Czechia
Result
Areakm² · Higher wins ↑
148,460
78,867
Would win
Populationpeople · Higher wins ↑ · Chosen
171,466,990
10,864,042
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
56,062
Would lose
Densityper km² · Higher wins ↑
1,155.0
137.8
Would win
Highest peakm · Higher wins ↑
1,060
1,602
Would lose
Coastlinekm · Higher wins ↑
580
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
49.8° N
Would win
35
Round 35Won47 countries · 4 lives left
FijivsSwitzerland
Flag colours: 8 vs 2 colours · Higher wins ↑
Conquered Switzerland.
Other category comparisons 2 other winning choices
All eight categories for Fiji against Switzerland
Category
Fiji
Switzerland
Result
Areakm² · Higher wins ↑
18,274
41,277
Would lose
Populationpeople · Higher wins ↑
924,145
8,888,822
Would lose
Wealth per personint’l $ · Higher wins ↑
14,656
93,940
Would lose
Densityper km² · Higher wins ↑
50.6
215.3
Would lose
Highest peakm · Higher wins ↑
1,324
4,634
Would lose
Coastlinekm · Higher wins ↑
1,129
0
Would win
Flag colourscolours · Higher wins ↑ · Chosen
8
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.8° S
46.7° N
Would win
36
Round 36Won48 countries · 4 lives left
IndiavsThailand
Population: 1,438,069,596 vs 71,702,435 people · Higher wins ↑
Conquered Thailand.
Other category comparisons 5 other winning choices
All eight categories for India against Thailand
Category
India
Thailand
Result
Areakm² · Higher wins ↑
3,287,263
513,120
Would win
Populationpeople · Higher wins ↑ · Chosen
1,438,069,596
71,702,435
Would win
Wealth per personint’l $ · Higher wins ↑
9,853
23,598
Would lose
Densityper km² · Higher wins ↑
437.5
139.7
Would win
Highest peakm · Higher wins ↑
8,586
2,565
Would win
Coastlinekm · Higher wins ↑
7,000
3,219
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
22.4° N
15.5° N
Would lose
37
Round 37Won49 countries · 4 lives left
Côte d’IvoirevsSaudi Arabia
Proximity to equator: 7.5° N vs 23.5° N from the equator · Closer wins ↓
Conquered Saudi Arabia.
Other category comparisons 2 other winning choices
All eight categories for Côte d’Ivoire against Saudi Arabia
Category
Côte d’Ivoire
Saudi Arabia
Result
Areakm² · Higher wins ↑
322,463
2,149,690
Would lose
Populationpeople · Higher wins ↑
31,165,654
33,702,731
Would lose
Wealth per personint’l $ · Higher wins ↑
7,243
71,624
Would lose
Densityper km² · Higher wins ↑
96.6
15.7
Would win
Highest peakm · Higher wins ↑
1,752
3,000
Would lose
Coastlinekm · Higher wins ↑
515
2,640
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.5° N
23.5° N
Would win
38
Round 38Won50 countries · 4 lives left
NigervsSyria
Area: 1,267,000 vs 187,437 km² · Higher wins ↑
Conquered Syria.
Other category comparisons 2 other winning choices
All eight categories for Niger against Syria
Category
Niger
Syria
Result
Areakm² · Higher wins ↑ · Chosen
1,267,000
187,437
Would win
Populationpeople · Higher wins ↑
26,159,867
23,594,623
Would win
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
1,903
Unavailable
Unavailable
Densityper km² · Higher wins ↑
20.6
125.9
Would lose
Highest peakm · Higher wins ↑
2,022
2,814
Would lose
Coastlinekm · Higher wins ↑
0
193
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
17.6° N
35.0° N
Would win
39
Round 39Won51 countries · 4 lives left
JordanvsPoland
Proximity to equator: 30.7° N vs 51.9° N from the equator · Closer wins ↓
Conquered Poland.
Other category comparisons 2 other winning choices
All eight categories for Jordan against Poland
Category
Jordan
Poland
Result
Areakm² · Higher wins ↑
89,342
312,685
Would lose
Populationpeople · Higher wins ↑
11,439,213
36,687,353
Would lose
Wealth per personint’l $ · Higher wins ↑
11,451
48,473
Would lose
Densityper km² · Higher wins ↑
128.0
117.3
Would win
Highest peakm · Higher wins ↑
1,854
2,499
Would lose
Coastlinekm · Higher wins ↑
26
440
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
30.7° N
51.9° N
Would win
40
Round 40Won52 countries · 4 lives left
Equatorial GuineavsLaos
Proximity to equator: 1.6° N vs 19.6° N from the equator · Closer wins ↓
Conquered Laos.
Other category comparisons 5 other winning choices
All eight categories for Equatorial Guinea against Laos
Category
Equatorial Guinea
Laos
Result
Areakm² · Higher wins ↑
28,051
236,800
Would lose
Populationpeople · Higher wins ↑
1,847,549
7,664,993
Would lose
Wealth per personint’l $ · Higher wins ↑
16,997
9,299
Would win
Densityper km² · Higher wins ↑
65.9
32.4
Would win
Highest peakm · Higher wins ↑
3,008
2,817
Would win
Coastlinekm · Higher wins ↑
296
0
Would win
Flag colourscolours · Higher wins ↑
8
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
Indonesiavs
Finland
Venezuela
Djibouti
Argentina
France
Jamaica
Bahamas
South Korea
Afghanistan
Lesotho
Romania
Cameroon
Serbia
Togo
Gabon
Sri Lanka
South Sudan
Costa Rica
Andorra
New Zealand
North Macedonia
Maldives
Ethiopia
Hungary
Mauritius
Bangladesh
Czechia
Fiji
Switzerland
India
Thailand
Côte d’Ivoire
Saudi Arabia
Niger
Syria
Jordan
Poland
Equatorial Guinea
Laos