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Untimed expedition · Data edition 01051846d672
47Wins
4Losses
1Ties
Explore the final empire · 56 countries
No countries match your search.
The path through the world
One choice at a time.
52 rounds
Where it began · 12 countries
Papua New Guinea · Cameroon · Netherlands · Mauritania · Suriname · Comoros · South Korea · Andorra · Burkina Faso · Kuwait · Central African Republic · Slovenia
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 21Lost31 countries · 3 lives left
SurinamevsMauritius
Population: 628,886 vs 1,248,647 people · Higher wins ↑
Returned to the world: Suriname.
Other category comparisons 4 other winning choices
All eight categories for Suriname against Mauritius
Category
Suriname
Mauritius
Result
Areakm² · Higher wins ↑
163,820
2,040
Would win
Populationpeople · Higher wins ↑ · Chosen
628,886
1,248,647
Would lose
Wealth per personint’l $ · Higher wins ↑
21,128
29,403
Would lose
Densityper km² · Higher wins ↑
3.8
612.1
Would lose
Highest peakm · Higher wins ↑
1,230
828
Would win
Coastlinekm · Higher wins ↑
386
177
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
4.1° N
20.3° S
Would win
22
Round 22Lost30 countries · 2 lives left
SenegalvsEl Salvador
Proximity to equator: 15.2° N vs 13.9° N from the equator · Closer wins ↓
Returned to the world: Senegal.
Other category comparisons 3 other winning choices
All eight categories for Senegal against El Salvador
Category
Senegal
El Salvador
Result
Areakm² · Higher wins ↑
196,722
21,041
Would win
Populationpeople · Higher wins ↑
18,077,573
6,309,624
Would win
Wealth per personint’l $ · Higher wins ↑
4,782
12,667
Would lose
Densityper km² · Higher wins ↑
91.9
299.9
Would lose
Highest peakm · Higher wins ↑
648
2,730
Would lose
Coastlinekm · Higher wins ↑
531
307
Would win
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
15.2° N
13.9° N
Would lose
23
Round 23Won31 countries · 2 lives left
ComorosvsLatvia
Density: 380.5 vs 29.2 per km² · Higher wins ↑
Conquered Latvia.
Other category comparisons 3 other winning choices
All eight categories for Comoros against Latvia
Category
Comoros
Latvia
Result
Areakm² · Higher wins ↑
2,235
64,589
Would lose
Populationpeople · Higher wins ↑
850,387
1,883,710
Would lose
Wealth per personint’l $ · Higher wins ↑
3,897
42,784
Would lose
Densityper km² · Higher wins ↑ · Chosen
380.5
29.2
Would win
Highest peakm · Higher wins ↑
2,360
312
Would win
Coastlinekm · Higher wins ↑
340
498
Would lose
Flag colourscolours · Higher wins ↑
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
11.7° S
56.6° N
Would win
24
Round 24Won32 countries · 2 lives left
VenezuelavsRepublic of the Congo
Highest peak: 4,978 vs 1,020 m · Higher wins ↑
Conquered Republic of the Congo.
Other category comparisons 5 other winning choices
All eight categories for Venezuela against Republic of the Congo
Category
Venezuela
Republic of the Congo
Result
Areakm² · Higher wins ↑
912,050
342,000
Would win
Populationpeople · Higher wins ↑
28,300,854
6,182,885
Would win
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
Unavailable
6,856
Unavailable
Densityper km² · Higher wins ↑
31.0
18.1
Would win
Highest peakm · Higher wins ↑ · Chosen
4,978
1,020
Would win
Coastlinekm · Higher wins ↑
2,800
169
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.2° N
0.1° N
Would lose
25
Round 25Won33 countries · 2 lives left
South KoreavsCzechia
Coastline: 2,413 vs 0 km · Higher wins ↑
Conquered Czechia.
Other category comparisons 7 other winning choices
All eight categories for South Korea against Czechia
Category
South Korea
Czechia
Result
Areakm² · Higher wins ↑
99,720
78,867
Would win
Populationpeople · Higher wins ↑
51,712,619
10,864,042
Would win
Wealth per personint’l $ · Higher wins ↑
57,430
56,062
Would win
Densityper km² · Higher wins ↑
518.6
137.8
Would win
Highest peakm · Higher wins ↑
1,950
1,602
Would win
Coastlinekm · Higher wins ↑ · Chosen
2,413
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
36.3° N
49.8° N
Would win
26
Round 26Won34 countries · 2 lives left
GabonvsCuba
Proximity to equator: 0.6° S vs 20.6° N from the equator · Closer wins ↓
Conquered Cuba.
Other category comparisons 1 other winning choice
All eight categories for Gabon against Cuba
Category
Gabon
Cuba
Result
Areakm² · Higher wins ↑
267,667
110,860
Would win
Populationpeople · Higher wins ↑
2,484,789
11,019,931
Would lose
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
20,773
Unavailable
Unavailable
Densityper km² · Higher wins ↑
9.3
99.4
Would lose
Highest peakm · Higher wins ↑
1,050
1,974
Would lose
Coastlinekm · Higher wins ↑
885
3,735
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.6° S
20.6° N
Would win
27
Round 27Won35 countries · 2 lives left
AndorravsDenmark
Proximity to equator: 42.5° N vs 55.9° N from the equator · Closer wins ↓
Conquered Denmark.
Other category comparisons 3 other winning choices
All eight categories for Andorra against Denmark
Category
Andorra
Denmark
Result
Areakm² · Higher wins ↑
468
43,094
Would lose
Populationpeople · Higher wins ↑
80,856
5,946,952
Would lose
Wealth per personint’l $ · Higher wins ↑
71,790
77,425
Would lose
Densityper km² · Higher wins ↑
172.8
138.0
Would win
Highest peakm · Higher wins ↑
2,946
171
Would win
Coastlinekm · Higher wins ↑
0
7,314
Would lose
Flag colourscolours · Higher wins ↑
7
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
42.5° N
55.9° N
Would win
28
Round 28Won36 countries · 2 lives left
NigeriavsEl Salvador
Population: 227,882,945 vs 6,309,624 people · Higher wins ↑
Conquered El Salvador.
Other category comparisons 3 other winning choices
All eight categories for Nigeria against El Salvador
Category
Nigeria
El Salvador
Result
Areakm² · Higher wins ↑
923,768
21,041
Would win
Populationpeople · Higher wins ↑ · Chosen
227,882,945
6,309,624
Would win
Wealth per personint’l $ · Higher wins ↑
8,712
12,667
Would lose
Densityper km² · Higher wins ↑
246.7
299.9
Would lose
Highest peakm · Higher wins ↑
2,419
2,730
Would lose
Coastlinekm · Higher wins ↑
853
307
Would win
Flag colourscolours · Higher wins ↑
2
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
9.4° N
13.9° N
Would win
29
Round 29Won37 countries · 2 lives left
Burkina FasovsEstonia
Proximity to equator: 12.8° N vs 58.6° N from the equator · Closer wins ↓
Conquered Estonia.
Other category comparisons 4 other winning choices
All eight categories for Burkina Faso against Estonia
Category
Burkina Faso
Estonia
Result
Areakm² · Higher wins ↑
274,200
45,228
Would win
Populationpeople · Higher wins ↑
23,025,776
1,370,286
Would win
Wealth per personint’l $ · Higher wins ↑
2,762
48,848
Would lose
Densityper km² · Higher wins ↑
84.0
30.3
Would win
Highest peakm · Higher wins ↑
749
318
Would win
Coastlinekm · Higher wins ↑
0
3,794
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.8° N
58.6° N
Would win
30
Round 30Won38 countries · 2 lives left
ParaguayvsTurkmenistan
Proximity to equator: 21.6° S vs 39.9° N from the equator · Closer wins ↓
Conquered Turkmenistan.
Other category comparisons 2 other winning choices
All eight categories for Paraguay against Turkmenistan
Category
Paraguay
Turkmenistan
Result
Areakm² · Higher wins ↑
406,752
488,100
Would lose
Populationpeople · Higher wins ↑
6,844,146
7,364,438
Would lose
Wealth per personint’l $ · Higher wins ↑
17,585
19,645
Would lose
Densityper km² · Higher wins ↑
16.8
15.1
Would win
Highest peakm · Higher wins ↑
842
3,139
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
6
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
21.6° S
39.9° N
Would win
31
Round 31Won39 countries · 2 lives left
KuwaitvsSomalia
Wealth per person: 53,083 vs 1,557 int’l $ · Higher wins ↑
Conquered Somalia.
Other category comparisons 2 other winning choices
All eight categories for Kuwait against Somalia
Category
Kuwait
Somalia
Result
Areakm² · Higher wins ↑
17,818
637,657
Would lose
Populationpeople · Higher wins ↑
4,853,420
18,358,615
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
53,083
1,557
Would win
Densityper km² · Higher wins ↑
272.4
28.8
Would win
Highest peakm · Higher wins ↑
300
2,460
Would lose
Coastlinekm · Higher wins ↑
499
3,025
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
29.4° N
2.6° N
Would lose
32
Round 32Won40 countries · 2 lives left
MalawivsPoland
Proximity to equator: 13.4° S vs 51.9° N from the equator · Closer wins ↓
Conquered Poland.
Other category comparisons 3 other winning choices
All eight categories for Malawi against Poland
Category
Malawi
Poland
Result
Areakm² · Higher wins ↑
118,484
312,685
Would lose
Populationpeople · Higher wins ↑
21,104,482
36,687,353
Would lose
Wealth per personint’l $ · Higher wins ↑
1,832
48,473
Would lose
Densityper km² · Higher wins ↑
178.1
117.3
Would win
Highest peakm · Higher wins ↑
3,002
2,499
Would win
Coastlinekm · Higher wins ↑
0
440
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.4° S
51.9° N
Would win
33
Round 33Won41 countries · 2 lives left
Central African RepublicvsNew Zealand
Proximity to equator: 7.0° N vs 45.3° S from the equator · Closer wins ↓
Conquered New Zealand.
Other category comparisons 2 other winning choices
All eight categories for Central African Republic against New Zealand
Category
Central African Republic
New Zealand
Result
Areakm² · Higher wins ↑
622,984
268,838
Would win
Populationpeople · Higher wins ↑
5,152,421
5,200,000
Would lose
Wealth per personint’l $ · Higher wins ↑
1,258
54,950
Would lose
Densityper km² · Higher wins ↑
8.3
19.3
Would lose
Highest peakm · Higher wins ↑
1,410
3,724
Would lose
Coastlinekm · Higher wins ↑
0
15,134
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
45.3° S
Would win
34
Round 34Won42 countries · 2 lives left
FijivsDjibouti
Wealth per person: 14,656 vs 7,232 int’l $ · Higher wins ↑
Conquered Djibouti.
Other category comparisons 3 other winning choices
All eight categories for Fiji against Djibouti
Category
Fiji
Djibouti
Result
Areakm² · Higher wins ↑
18,274
23,200
Would lose
Populationpeople · Higher wins ↑
924,145
1,152,944
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
14,656
7,232
Would win
Densityper km² · Higher wins ↑
50.6
49.7
Would win
Highest peakm · Higher wins ↑
1,324
2,021
Would lose
Coastlinekm · Higher wins ↑
1,129
314
Would win
Flag colourscolours · Higher wins ↑
8
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.8° S
11.4° N
Would lose
35
Round 35Won43 countries · 2 lives left
SloveniavsUganda
Wealth per person: 56,151 vs 3,100 int’l $ · Higher wins ↑
Conquered Uganda.
Other category comparisons 1 other winning choice
All eight categories for Slovenia against Uganda
Category
Slovenia
Uganda
Result
Areakm² · Higher wins ↑
20,273
241,038
Would lose
Populationpeople · Higher wins ↑
2,120,461
48,656,601
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,151
3,100
Would win
Densityper km² · Higher wins ↑
104.6
201.9
Would lose
Highest peakm · Higher wins ↑
2,864
5,110
Would lose
Coastlinekm · Higher wins ↑
46.6
0
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.0° N
2.0° N
Would lose
36
Round 36Won44 countries · 2 lives left
Dominican RepublicvsTogo
Wealth per person: 25,861 vs 3,572 int’l $ · Higher wins ↑
Conquered Togo.
Other category comparisons 5 other winning choices
All eight categories for Dominican Republic against Togo
Category
Dominican Republic
Togo
Result
Areakm² · Higher wins ↑
48,670
56,785
Would lose
Populationpeople · Higher wins ↑
11,331,265
8,223,850
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
25,861
3,572
Would win
Densityper km² · Higher wins ↑
232.8
144.8
Would win
Highest peakm · Higher wins ↑
3,098
986
Would win
Coastlinekm · Higher wins ↑
1,288
56
Would win
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.1° N
8.9° N
Would lose
37
Round 37Won45 countries · 2 lives left
Papua New GuineavsRwanda
Area: 462,840 vs 26,338 km² · Higher wins ↑
Conquered Rwanda.
Other category comparisons 3 other winning choices
All eight categories for Papua New Guinea against Rwanda
Category
Papua New Guinea
Rwanda
Result
Areakm² · Higher wins ↑ · Chosen
462,840
26,338
Would win
Populationpeople · Higher wins ↑
10,389,635
13,954,471
Would lose
Wealth per personint’l $ · Higher wins ↑
4,672
3,519
Would win
Densityper km² · Higher wins ↑
22.4
529.8
Would lose
Highest peakm · Higher wins ↑
4,509
4,519
Would lose
Coastlinekm · Higher wins ↑
5,152
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
1.8° S
Would lose
38
Round 38Won46 countries · 2 lives left
MexicovsSerbia
Population: 129,739,759 vs 6,623,183 people · Higher wins ↑
Conquered Serbia.
Other category comparisons 5 other winning choices
All eight categories for Mexico against Serbia
Category
Mexico
Serbia
Result
Areakm² · Higher wins ↑
1,964,375
77,474
Would win
Populationpeople · Higher wins ↑ · Chosen
129,739,759
6,623,183
Would win
Wealth per personint’l $ · Higher wins ↑
25,188
29,777
Would lose
Densityper km² · Higher wins ↑
66.0
85.5
Would lose
Highest peakm · Higher wins ↑
5,636
2,169
Would win
Coastlinekm · Higher wins ↑
9,330
0
Would win
Flag colourscolours · Higher wins ↑
11
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
44.2° N
Would win
39
Round 39Won47 countries · 2 lives left
ZimbabwevsChina
Proximity to equator: 19.0° S vs 32.5° N from the equator · Closer wins ↓
Conquered China.
Other category comparisons 1 other winning choice
All eight categories for Zimbabwe against China
Category
Zimbabwe
China
Result
Areakm² · Higher wins ↑
390,757
9,596,960
Would lose
Populationpeople · Higher wins ↑
16,340,822
1,410,710,000
Would lose
Wealth per personint’l $ · Higher wins ↑
5,796
25,200
Would lose
Densityper km² · Higher wins ↑
41.8
147.0
Would lose
Highest peakm · Higher wins ↑
2,592
8,849
Would lose
Coastlinekm · Higher wins ↑
0
14,500
Would lose
Flag colourscolours · Higher wins ↑
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
19.0° S
32.5° N
Would win
40
Round 40Won48 countries · 2 lives left
SpainvsBahrain
Area: 505,370 vs 760 km² · Higher wins ↑
Conquered Bahrain.
Other category comparisons 4 other winning choices
All eight categories for Spain against Bahrain
Category
Spain
Bahrain
Result
Areakm² · Higher wins ↑ · Chosen
505,370
760
Would win
Populationpeople · Higher wins ↑
48,352,528
1,577,059
Would win
Wealth per personint’l $ · Higher wins ↑
55,661
64,224
Would lose
Densityper km² · Higher wins ↑
95.7
2,075.1
Would lose
Highest peakm · Higher wins ↑
3,718
135
Would win
Coastlinekm · Higher wins ↑
4,964
161
Would win
Flag colourscolours · Higher wins ↑
10
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Surinamevs
Mauritius
Senegal
El Salvador
Comoros
Latvia
Venezuela
Republic of the Congo
South Korea
Czechia
Gabon
Cuba
Andorra
Denmark
Nigeria
Burkina Faso
Estonia
Paraguay
Turkmenistan
Kuwait
Somalia
Malawi
Poland
Central African Republic
New Zealand
Fiji
Djibouti
Slovenia
Uganda
Dominican Republic
Togo
Papua New Guinea
Rwanda
Mexico
Serbia
Zimbabwe
China
Spain
Bahrain