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Untimed expedition · Data edition 01051846d672
99Wins
3Losses
5Ties
Explore the final empire · 113 countries
No countries match your search.
The path through the world
One choice at a time.
107 rounds
Where it began · 12 countries
India · Comoros · Russia · Republic of the Congo · Cyprus · Iran · Libya · Croatia · Bhutan · Botswana · Burkina Faso · Gambia
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
LatviavsPapua New Guinea
Wealth per person: 42,784 vs 4,672 int’l $ · Higher wins ↑
Conquered Papua New Guinea.
Other category comparisons 1 other winning choice
All eight categories for Latvia against Papua New Guinea
Category
Latvia
Papua New Guinea
Result
Areakm² · Higher wins ↑
64,589
462,840
Would lose
Populationpeople · Higher wins ↑
1,883,710
10,389,635
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
42,784
4,672
Would win
Densityper km² · Higher wins ↑
29.2
22.4
Would win
Highest peakm · Higher wins ↑
312
4,509
Would lose
Coastlinekm · Higher wins ↑
498
5,152
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
56.6° N
5.5° S
Would lose
22
Round 22Won34 countries · 4 lives left
GuineavsIreland
Proximity to equator: 10.7° N vs 53.1° N from the equator · Closer wins ↓
Conquered Ireland.
Other category comparisons 3 other winning choices
All eight categories for Guinea against Ireland
Category
Guinea
Ireland
Result
Areakm² · Higher wins ↑
245,857
70,273
Would win
Populationpeople · Higher wins ↑
14,405,468
5,311,538
Would win
Wealth per personint’l $ · Higher wins ↑
4,337
133,440
Would lose
Densityper km² · Higher wins ↑
58.6
75.6
Would lose
Highest peakm · Higher wins ↑
1,752
1,041
Would win
Coastlinekm · Higher wins ↑
320
1,448
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.7° N
53.1° N
Would win
23
Round 23Won35 countries · 4 lives left
IranvsBolivia
Population: 90,608,707 vs 12,244,159 people · Higher wins ↑
Conquered Bolivia.
Other category comparisons 4 other winning choices
All eight categories for Iran against Bolivia
Category
Iran
Bolivia
Result
Areakm² · Higher wins ↑
1,648,195
1,098,581
Would win
Populationpeople · Higher wins ↑ · Chosen
90,608,707
12,244,159
Would win
Wealth per personint’l $ · Higher wins ↑
18,933
12,903
Would win
Densityper km² · Higher wins ↑
55.0
11.1
Would win
Highest peakm · Higher wins ↑
5,625
6,542
Would lose
Coastlinekm · Higher wins ↑
2,440
0
Would win
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
16.7° S
Would lose
24
Round 24Won36 countries · 4 lives left
LebanonvsAzerbaijan
Density: 555.1 vs 117.3 per km² · Higher wins ↑
Conquered Azerbaijan.
Other category comparisons 2 other winning choices
All eight categories for Lebanon against Azerbaijan
Category
Lebanon
Azerbaijan
Result
Areakm² · Higher wins ↑
10,400
86,600
Would lose
Populationpeople · Higher wins ↑
5,773,493
10,153,958
Would lose
Wealth per personint’l $ · Higher wins ↑
12,585
23,671
Would lose
Densityper km² · Higher wins ↑ · Chosen
555.1
117.3
Would win
Highest peakm · Higher wins ↑
3,088
4,466
Would lose
Coastlinekm · Higher wins ↑
225
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
34.2° N
40.5° N
Would win
25
Round 25Won37 countries · 4 lives left
LibyavsPalestine
Area: 1,759,540 vs 6,220 km² · Higher wins ↑
Conquered Palestine.
Other category comparisons 5 other winning choices
All eight categories for Libya against Palestine
Category
Libya
Palestine
Result
Areakm² · Higher wins ↑ · Chosen
1,759,540
6,220
Would win
Populationpeople · Higher wins ↑
7,305,659
5,165,775
Would win
Wealth per personint’l $ · Higher wins ↑
13,858
6,179
Would win
Densityper km² · Higher wins ↑
4.2
830.5
Would lose
Highest peakm · Higher wins ↑
2,267
1,020
Would win
Coastlinekm · Higher wins ↑
1,770
40
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
32.1° N
Would win
26
Round 26Won38 countries · 4 lives left
FijivsGuatemala
Coastline: 1,129 vs 400 km · Higher wins ↑
Conquered Guatemala.
Other category comparisons 1 other winning choice
All eight categories for Fiji against Guatemala
Category
Fiji
Guatemala
Result
Areakm² · Higher wins ↑
18,274
108,889
Would lose
Populationpeople · Higher wins ↑
924,145
18,124,838
Would lose
Wealth per personint’l $ · Higher wins ↑
14,656
13,752
Would win
Densityper km² · Higher wins ↑
50.6
166.5
Would lose
Highest peakm · Higher wins ↑
1,324
4,220
Would lose
Coastlinekm · Higher wins ↑ · Chosen
1,129
400
Would win
Flag colourscolours · Higher wins ↑
8
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
17.8° S
15.0° N
Would lose
27
Round 27Won39 countries · 4 lives left
CroatiavsZimbabwe
Wealth per person: 47,760 vs 5,796 int’l $ · Higher wins ↑
Conquered Zimbabwe.
Other category comparisons 2 other winning choices
All eight categories for Croatia against Zimbabwe
Category
Croatia
Zimbabwe
Result
Areakm² · Higher wins ↑
56,594
390,757
Would lose
Populationpeople · Higher wins ↑
3,859,686
16,340,822
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
47,760
5,796
Would win
Densityper km² · Higher wins ↑
68.2
41.8
Would win
Highest peakm · Higher wins ↑
1,831
2,592
Would lose
Coastlinekm · Higher wins ↑
5,835
0
Would win
Flag colourscolours · Higher wins ↑
6
6
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
45.8° N
19.0° S
Would lose
28
Round 28Won40 countries · 4 lives left
DenmarkvsUnited Arab Emirates
Coastline: 7,314 vs 1,318 km · Higher wins ↑
Conquered United Arab Emirates.
Other category comparisons 1 other winning choice
All eight categories for Denmark against United Arab Emirates
Category
Denmark
United Arab Emirates
Result
Areakm² · Higher wins ↑
43,094
83,600
Would lose
Populationpeople · Higher wins ↑
5,946,952
10,483,751
Would lose
Wealth per personint’l $ · Higher wins ↑
77,425
78,020
Would lose
Densityper km² · Higher wins ↑
138.0
125.4
Would win
Highest peakm · Higher wins ↑
171
1,905
Would lose
Coastlinekm · Higher wins ↑ · Chosen
7,314
1,318
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.9° N
23.5° N
Would lose
29
Round 29Won41 countries · 4 lives left
BhutanvsSwitzerland
Proximity to equator: 27.5° N vs 46.7° N from the equator · Closer 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 ↑
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 ↓ · Chosen
27.5° N
46.7° N
Would win
30
Round 30Won42 countries · 4 lives left
Timor-LestevsTrinidad and Tobago
Population: 1,384,286 vs 1,367,510 people · Higher wins ↑
Conquered Trinidad and Tobago.
Other category comparisons 5 other winning choices
All eight categories for Timor-Leste against Trinidad and Tobago
Category
Timor-Leste
Trinidad and Tobago
Result
Areakm² · Higher wins ↑
14,874
5,128
Would win
Populationpeople · Higher wins ↑ · Chosen
1,384,286
1,367,510
Would win
Wealth per personint’l $ · Higher wins ↑
4,811
34,652
Would lose
Densityper km² · Higher wins ↑
93.1
266.7
Would lose
Highest peakm · Higher wins ↑
2,963
940
Would win
Coastlinekm · Higher wins ↑
706
362
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
8.9° S
10.3° N
Would win
31
Round 31Won43 countries · 4 lives left
BotswanavsHungary
Proximity to equator: 22.1° S vs 47.3° N from the equator · Closer wins ↓
Conquered Hungary.
Other category comparisons 2 other winning choices
All eight categories for Botswana against Hungary
Category
Botswana
Hungary
Result
Areakm² · Higher wins ↑
581,730
93,028
Would win
Populationpeople · Higher wins ↑
2,480,244
9,592,186
Would lose
Wealth per personint’l $ · Higher wins ↑
21,029
46,376
Would lose
Densityper km² · Higher wins ↑
4.3
103.1
Would lose
Highest peakm · Higher wins ↑
1,495
1,014
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
22.1° S
47.3° N
Would win
32
Round 32Won44 countries · 4 lives left
MalaysiavsIceland
Proximity to equator: 4.4° N vs 64.7° N from the equator · Closer wins ↓
Conquered Iceland.
Other category comparisons 5 other winning choices
All eight categories for Malaysia against Iceland
Category
Malaysia
Iceland
Result
Areakm² · Higher wins ↑
329,847
103,000
Would win
Populationpeople · Higher wins ↑
35,126,298
385,663
Would win
Wealth per personint’l $ · Higher wins ↑
36,497
82,257
Would lose
Densityper km² · Higher wins ↑
106.5
3.7
Would win
Highest peakm · Higher wins ↑
4,095
2,110
Would win
Coastlinekm · Higher wins ↑
4,675
4,970
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
4.4° N
64.7° N
Would win
33
Round 33Won45 countries · 4 lives left
Burkina FasovsHaiti
Area: 274,200 vs 27,750 km² · Higher wins ↑
Conquered Haiti.
Other category comparisons 2 other winning choices
All eight categories for Burkina Faso against Haiti
Category
Burkina Faso
Haiti
Result
Areakm² · Higher wins ↑ · Chosen
274,200
27,750
Would win
Populationpeople · Higher wins ↑
23,025,776
11,637,398
Would win
Wealth per personint’l $ · Higher wins ↑
2,762
3,265
Would lose
Densityper km² · Higher wins ↑
84.0
419.4
Would lose
Highest peakm · Higher wins ↑
749
2,674
Would lose
Coastlinekm · Higher wins ↑
0
1,771
Would lose
Flag colourscolours · Higher wins ↑
3
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
12.8° N
19.2° N
Would win
34
Round 34Tied45 countries · 4 lives left
New ZealandvsFrance
Flag colours: 3 vs 3 colours · Higher wins ↑
France became contested.
Other category comparisons 2 other winning choices
All eight categories for New Zealand against France
Category
New Zealand
France
Result
Areakm² · Higher wins ↑
268,838
551,500
Would lose
Populationpeople · Higher wins ↑
5,200,000
65,925,961
Would lose
Wealth per personint’l $ · Higher wins ↑
54,950
60,927
Would lose
Densityper km² · Higher wins ↑
19.3
119.5
Would lose
Highest peakm · Higher wins ↑
3,724
4,810
Would lose
Coastlinekm · Higher wins ↑
15,134
3,427
Would win
Flag colourscolours · Higher wins ↑ · Chosen
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
45.3° S
46.7° N
Would win
35
Round 35Won47 countries · 4 lives left
GambiavsLuxembourg
Proximity to equator: 13.6° N vs 49.7° N from the equator · Closer wins ↓
Conquered Luxembourg, France.
Other category comparisons 4 other winning choices
All eight categories for Gambia against Luxembourg
Category
Gambia
Luxembourg
Result
Areakm² · Higher wins ↑
11,300
2,586
Would win
Populationpeople · Higher wins ↑
2,697,845
666,430
Would win
Wealth per personint’l $ · Higher wins ↑
3,292
152,596
Would lose
Densityper km² · Higher wins ↑
238.7
257.7
Would lose
Highest peakm · Higher wins ↑
63
559
Would lose
Coastlinekm · Higher wins ↑
80
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.6° N
49.7° N
Would win
36
Round 36Won48 countries · 4 lives left
IndiavsAndorra
Population: 1,438,069,596 vs 80,856 people · Higher wins ↑
Conquered Andorra.
Other category comparisons 5 other winning choices
All eight categories for India against Andorra
Category
India
Andorra
Result
Areakm² · Higher wins ↑
3,287,263
468
Would win
Populationpeople · Higher wins ↑ · Chosen
1,438,069,596
80,856
Would win
Wealth per personint’l $ · Higher wins ↑
9,853
71,790
Would lose
Densityper km² · Higher wins ↑
437.5
172.8
Would win
Highest peakm · Higher wins ↑
8,586
2,946
Would win
Coastlinekm · Higher wins ↑
7,000
0
Would win
Flag colourscolours · Higher wins ↑
4
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
22.4° N
42.5° N
Would win
37
Round 37Tied48 countries · 4 lives left
North KoreavsItaly
Flag colours: 3 vs 3 colours · Higher wins ↑
Italy became contested.
Other category comparisons 2 other winning choices
All eight categories for North Korea against Italy
Category
North Korea
Italy
Result
Areakm² · Higher wins ↑
120,538
301,340
Would lose
Populationpeople · Higher wins ↑
26,418,204
58,984,216
Would lose
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
60,350
Unavailable
Densityper km² · Higher wins ↑
219.2
195.7
Would win
Highest peakm · Higher wins ↑
2,744
4,748
Would lose
Coastlinekm · Higher wins ↑
2,495
7,600
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
45.1° N
Would win
38
Round 38Won50 countries · 4 lives left
GhanavsMongolia
Proximity to equator: 7.0° N vs 46.0° N from the equator · Closer wins ↓
Conquered Mongolia, Italy.
Other category comparisons 4 other winning choices
All eight categories for Ghana against Mongolia
Category
Ghana
Mongolia
Result
Areakm² · Higher wins ↑
238,533
1,564,116
Would lose
Populationpeople · Higher wins ↑
33,787,914
3,481,145
Would win
Wealth per personint’l $ · Higher wins ↑
7,563
18,020
Would lose
Densityper km² · Higher wins ↑
141.6
2.2
Would win
Highest peakm · Higher wins ↑
885
4,374
Would lose
Coastlinekm · Higher wins ↑
539
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
46.0° N
Would win
39
Round 39Tied50 countries · 4 lives left
ChadvsMadagascar
Flag colours: 3 vs 3 colours · Higher wins ↑
Madagascar became contested.
Other category comparisons 4 other winning choices
All eight categories for Chad against Madagascar
Category
Chad
Madagascar
Result
Areakm² · Higher wins ↑
1,284,000
587,041
Would win
Populationpeople · Higher wins ↑
19,319,064
31,195,932
Would lose
Wealth per personint’l $ · Higher wins ↑
2,703
1,810
Would win
Densityper km² · Higher wins ↑
15.0
53.1
Would lose
Highest peakm · Higher wins ↑
3,445
2,876
Would win
Coastlinekm · Higher wins ↑
0
4,828
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
17.3° N
18.4° S
Would win
40
Round 40Won52 countries · 4 lives left
South KoreavsEthiopia
Wealth per person: 57,430 vs 3,063 int’l $ · Higher wins ↑
Conquered Ethiopia, Madagascar.
Other category comparisons 2 other winning choices
All eight categories for South Korea against Ethiopia
Category
South Korea
Ethiopia
Result
Areakm² · Higher wins ↑
99,720
1,104,300
Would lose
Populationpeople · Higher wins ↑
51,712,619
128,691,692
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
57,430
3,063
Would win
Densityper km² · Higher wins ↑
518.6
116.5
Would win
Highest peakm · Higher wins ↑
1,950
4,550
Would lose
Coastlinekm · Higher wins ↑
2,413
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
Latviavs
Papua New Guinea
Guinea
Ireland
Iran
Bolivia
Lebanon
Azerbaijan
Libya
Palestine
Fiji
Guatemala
Croatia
Zimbabwe
Denmark
United Arab Emirates
Bhutan
Switzerland
Timor-Leste
Trinidad and Tobago
Botswana
Hungary
Malaysia
Iceland
Burkina Faso
Haiti
New Zealand
France
Gambia
Luxembourg
India
Andorra
North Korea
Italy
Ghana
Mongolia
Chad
Madagascar
South Korea
Ethiopia