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Untimed expedition · Data edition 01051846d672
75Wins
3Losses
1Ties
Explore the final empire · 85 countries
No countries match your search.
The path through the world
One choice at a time.
79 rounds
Where it began · 12 countries
Bolivia · Slovakia · Montenegro · Brazil · Equatorial Guinea · Yemen · Solomon Islands · South Sudan · Serbia · Timor-Leste · Vietnam · Lithuania
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
Equatorial GuineavsHungary
Proximity to equator: 1.6° N vs 47.3° N from the equator · Closer wins ↓
Conquered Hungary.
Other category comparisons 3 other winning choices
All eight categories for Equatorial Guinea against Hungary
Category
Equatorial Guinea
Hungary
Result
Areakm² · Higher wins ↑
28,051
93,028
Would lose
Populationpeople · Higher wins ↑
1,847,549
9,592,186
Would lose
Wealth per personint’l $ · Higher wins ↑
16,997
46,376
Would lose
Densityper km² · Higher wins ↑
65.9
103.1
Would lose
Highest peakm · Higher wins ↑
3,008
1,014
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
1.6° N
47.3° N
Would win
22
Round 22Won34 countries · 4 lives left
BelarusvsMongolia
Density: 44.2 vs 2.2 per km² · Higher wins ↑
Conquered Mongolia.
Other category comparisons 2 other winning choices
All eight categories for Belarus against Mongolia
Category
Belarus
Mongolia
Result
Areakm² · Higher wins ↑
207,600
1,564,116
Would lose
Populationpeople · Higher wins ↑
9,178,298
3,481,145
Would win
Wealth per personint’l $ · Higher wins ↑
30,860
18,020
Would win
Densityper km² · Higher wins ↑ · Chosen
44.2
2.2
Would win
Highest peakm · Higher wins ↑
346
4,374
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
53.8° N
46.0° N
Would lose
23
Round 23Won35 countries · 4 lives left
YemenvsIceland
Population: 39,390,799 vs 385,663 people · Higher wins ↑
Conquered Iceland.
Other category comparisons 4 other winning choices
All eight categories for Yemen against Iceland
Category
Yemen
Iceland
Result
Areakm² · Higher wins ↑
527,968
103,000
Would win
Populationpeople · Higher wins ↑ · Chosen
39,390,799
385,663
Would win
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
Unavailable
82,257
Unavailable
Densityper km² · Higher wins ↑
74.6
3.7
Would win
Highest peakm · Higher wins ↑
3,666
2,110
Would win
Coastlinekm · Higher wins ↑
1,906
4,970
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
15.3° N
64.7° N
Would win
24
Round 24Won36 countries · 4 lives left
BeninvsBangladesh
Proximity to equator: 10.4° N vs 24.3° N from the equator · Closer wins ↓
Conquered Bangladesh.
Other category comparisons 1 other winning choice
All eight categories for Benin against Bangladesh
Category
Benin
Bangladesh
Result
Areakm² · Higher wins ↑
112,622
148,460
Would lose
Populationpeople · Higher wins ↑
14,111,034
171,466,990
Would lose
Wealth per personint’l $ · Higher wins ↑
4,133
9,155
Would lose
Densityper km² · Higher wins ↑
125.3
1,155.0
Would lose
Highest peakm · Higher wins ↑
675
1,060
Would lose
Coastlinekm · Higher wins ↑
121
580
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.4° N
24.3° N
Would win
25
Round 25Won37 countries · 4 lives left
Solomon IslandsvsCosta Rica
Coastline: 5,313 vs 1,290 km · Higher wins ↑
Conquered Costa Rica.
Other category comparisons 2 other winning choices
All eight categories for Solomon Islands against Costa Rica
Category
Solomon Islands
Costa Rica
Result
Areakm² · Higher wins ↑
28,896
51,100
Would lose
Populationpeople · Higher wins ↑
800,005
5,105,525
Would lose
Wealth per personint’l $ · Higher wins ↑
2,599
29,248
Would lose
Densityper km² · Higher wins ↑
27.7
99.9
Would lose
Highest peakm · Higher wins ↑
2,335
3,819
Would lose
Coastlinekm · Higher wins ↑ · Chosen
5,313
1,290
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
9.6° S
10.1° N
Would win
26
Round 26Lost36 countries · 3 lives left
SwedenvsSaudi Arabia
Wealth per person: 68,458 vs 71,624 int’l $ · Higher wins ↑
Returned to the world: Sweden.
Other category comparisons 2 other winning choices
All eight categories for Sweden against Saudi Arabia
Category
Sweden
Saudi Arabia
Result
Areakm² · Higher wins ↑
450,295
2,149,690
Would lose
Populationpeople · Higher wins ↑
10,536,632
33,702,731
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
68,458
71,624
Would lose
Densityper km² · Higher wins ↑
23.4
15.7
Would win
Highest peakm · Higher wins ↑
2,100
3,000
Would lose
Coastlinekm · Higher wins ↑
3,218
2,640
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
65.8° N
23.5° N
Would lose
27
Round 27Won37 countries · 3 lives left
South SudanvsGuyana
Area: 644,329 vs 214,969 km² · Higher wins ↑
Conquered Guyana.
Other category comparisons 4 other winning choices
All eight categories for South Sudan against Guyana
Category
South Sudan
Guyana
Result
Areakm² · Higher wins ↑ · Chosen
644,329
214,969
Would win
Populationpeople · Higher wins ↑
11,483,374
826,353
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
54,774
Unavailable
Densityper km² · Higher wins ↑
17.8
3.8
Would win
Highest peakm · Higher wins ↑
3,187
2,775
Would win
Coastlinekm · Higher wins ↑
0
459
Would lose
Flag colourscolours · Higher wins ↑
6
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
2.7° N
Would lose
28
Round 28Won38 countries · 3 lives left
UruguayvsNepal
Wealth per person: 34,546 vs 5,400 int’l $ · Higher wins ↑
Conquered Nepal.
Other category comparisons 3 other winning choices
All eight categories for Uruguay against Nepal
Category
Uruguay
Nepal
Result
Areakm² · Higher wins ↑
176,215
147,181
Would win
Populationpeople · Higher wins ↑
3,388,081
29,694,614
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
34,546
5,400
Would win
Densityper km² · Higher wins ↑
19.2
201.8
Would lose
Highest peakm · Higher wins ↑
514
8,849
Would lose
Coastlinekm · Higher wins ↑
660
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
32.9° S
29.0° N
Would lose
29
Round 29Won39 countries · 3 lives left
SerbiavsChad
Wealth per person: 29,777 vs 2,703 int’l $ · Higher wins ↑
Conquered Chad.
Other category comparisons 2 other winning choices
All eight categories for Serbia against Chad
Category
Serbia
Chad
Result
Areakm² · Higher wins ↑
77,474
1,284,000
Would lose
Populationpeople · Higher wins ↑
6,623,183
19,319,064
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
29,777
2,703
Would win
Densityper km² · Higher wins ↑
85.5
15.0
Would win
Highest peakm · Higher wins ↑
2,169
3,445
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
44.2° N
17.3° N
Would lose
30
Round 30Won40 countries · 3 lives left
CameroonvsHonduras
Area: 475,440 vs 112,090 km² · Higher wins ↑
Conquered Honduras.
Other category comparisons 4 other winning choices
All eight categories for Cameroon against Honduras
Category
Cameroon
Honduras
Result
Areakm² · Higher wins ↑ · Chosen
475,440
112,090
Would win
Populationpeople · Higher wins ↑
28,372,687
10,644,851
Would win
Wealth per personint’l $ · Higher wins ↑
5,415
7,184
Would lose
Densityper km² · Higher wins ↑
59.7
95.0
Would lose
Highest peakm · Higher wins ↑
4,045
2,870
Would win
Coastlinekm · Higher wins ↑
402
823
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
14.7° N
Would win
31
Round 31Won41 countries · 3 lives left
Timor-LestevsSaudi Arabia
Density: 93.1 vs 15.7 per km² · Higher wins ↑
Conquered Saudi Arabia.
Other category comparisons 2 other winning choices
All eight categories for Timor-Leste against Saudi Arabia
Category
Timor-Leste
Saudi Arabia
Result
Areakm² · Higher wins ↑
14,874
2,149,690
Would lose
Populationpeople · Higher wins ↑
1,384,286
33,702,731
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
71,624
Would lose
Densityper km² · Higher wins ↑ · Chosen
93.1
15.7
Would win
Highest peakm · Higher wins ↑
2,963
3,000
Would lose
Coastlinekm · Higher wins ↑
706
2,640
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
8.9° S
23.5° N
Would win
32
Round 32Won42 countries · 3 lives left
North KoreavsGuinea
Population: 26,418,204 vs 14,405,468 people · Higher wins ↑
Conquered Guinea.
Other category comparisons 3 other winning choices
All eight categories for North Korea against Guinea
Category
North Korea
Guinea
Result
Areakm² · Higher wins ↑
120,538
245,857
Would lose
Populationpeople · Higher wins ↑ · Chosen
26,418,204
14,405,468
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
4,337
Unavailable
Densityper km² · Higher wins ↑
219.2
58.6
Would win
Highest peakm · Higher wins ↑
2,744
1,752
Would win
Coastlinekm · Higher wins ↑
2,495
320
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
10.7° N
Would lose
33
Round 33Won43 countries · 3 lives left
VietnamvsRepublic of the Congo
Population: 100,352,192 vs 6,182,885 people · Higher wins ↑
Conquered Republic of the Congo.
Other category comparisons 4 other winning choices
All eight categories for Vietnam against Republic of the Congo
Category
Vietnam
Republic of the Congo
Result
Areakm² · Higher wins ↑
331,210
342,000
Would lose
Populationpeople · Higher wins ↑ · Chosen
100,352,192
6,182,885
Would win
Wealth per personint’l $ · Higher wins ↑
15,034
6,856
Would win
Densityper km² · Higher wins ↑
303.0
18.1
Would win
Highest peakm · Higher wins ↑
3,144
1,020
Would win
Coastlinekm · Higher wins ↑
3,444
169
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
21.7° N
0.1° N
Would lose
34
Round 34Won44 countries · 3 lives left
UgandavsBhutan
Population: 48,656,601 vs 786,385 people · Higher wins ↑
Conquered Bhutan.
Other category comparisons 4 other winning choices
All eight categories for Uganda against Bhutan
Category
Uganda
Bhutan
Result
Areakm² · Higher wins ↑
241,038
38,394
Would win
Populationpeople · Higher wins ↑ · Chosen
48,656,601
786,385
Would win
Wealth per personint’l $ · Higher wins ↑
3,100
16,229
Would lose
Densityper km² · Higher wins ↑
201.9
20.5
Would win
Highest peakm · Higher wins ↑
5,110
7,570
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
2.0° N
27.5° N
Would win
35
Round 35Won45 countries · 3 lives left
LithuaniavsSri Lanka
Wealth per person: 52,720 vs 14,512 int’l $ · Higher wins ↑
Conquered Sri Lanka.
Other category comparisons 0 other winning choices
All eight categories for Lithuania against Sri Lanka
Category
Lithuania
Sri Lanka
Result
Areakm² · Higher wins ↑
65,300
65,610
Would lose
Populationpeople · Higher wins ↑
2,871,585
22,037,000
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
52,720
14,512
Would win
Densityper km² · Higher wins ↑
44.0
335.9
Would lose
Highest peakm · Higher wins ↑
294
2,524
Would lose
Coastlinekm · Higher wins ↑
90
1,340
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.1° N
7.1° N
Would lose
36
Round 36Won46 countries · 3 lives left
AustraliavsBotswana
Area: 7,741,220 vs 581,730 km² · Higher wins ↑
Conquered Botswana.
Other category comparisons 4 other winning choices
All eight categories for Australia against Botswana
Category
Australia
Botswana
Result
Areakm² · Higher wins ↑ · Chosen
7,741,220
581,730
Would win
Populationpeople · Higher wins ↑
26,659,922
2,480,244
Would win
Wealth per personint’l $ · Higher wins ↑
72,273
21,029
Would win
Densityper km² · Higher wins ↑
3.4
4.3
Would lose
Highest peakm · Higher wins ↑
2,228
1,495
Would win
Coastlinekm · Higher wins ↑
25,760
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
23.1° S
22.1° S
Would lose
37
Round 37Won47 countries · 3 lives left
BoliviavsChina
Proximity to equator: 16.7° S vs 32.5° N from the equator · Closer wins ↓
Conquered China.
Other category comparisons 1 other winning choice
All eight categories for Bolivia against China
Category
Bolivia
China
Result
Areakm² · Higher wins ↑
1,098,581
9,596,960
Would lose
Populationpeople · Higher wins ↑
12,244,159
1,410,710,000
Would lose
Wealth per personint’l $ · Higher wins ↑
12,903
25,200
Would lose
Densityper km² · Higher wins ↑
11.1
147.0
Would lose
Highest peakm · Higher wins ↑
6,542
8,849
Would lose
Coastlinekm · Higher wins ↑
0
14,500
Would lose
Flag colourscolours · Higher wins ↑
9
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
16.7° S
32.5° N
Would win
38
Round 38Won48 countries · 3 lives left
JordanvsNorth Macedonia
Population: 11,439,213 vs 1,827,816 people · Higher wins ↑
Conquered North Macedonia.
Other category comparisons 5 other winning choices
All eight categories for Jordan against North Macedonia
Category
Jordan
North Macedonia
Result
Areakm² · Higher wins ↑
89,342
25,713
Would win
Populationpeople · Higher wins ↑ · Chosen
11,439,213
1,827,816
Would win
Wealth per personint’l $ · Higher wins ↑
11,451
25,354
Would lose
Densityper km² · Higher wins ↑
128.0
71.1
Would win
Highest peakm · Higher wins ↑
1,854
2,764
Would lose
Coastlinekm · Higher wins ↑
26
0
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
30.7° N
41.5° N
Would win
39
Round 39Won49 countries · 3 lives left
Cabo VerdevsMalawi
Coastline: 965 vs 0 km · Higher wins ↑
Conquered Malawi.
Other category comparisons 2 other winning choices
All eight categories for Cabo Verde against Malawi
Category
Cabo Verde
Malawi
Result
Areakm² · Higher wins ↑
4,033
118,484
Would lose
Populationpeople · Higher wins ↑
522,331
21,104,482
Would lose
Wealth per personint’l $ · Higher wins ↑
10,251
1,832
Would win
Densityper km² · Higher wins ↑
129.5
178.1
Would lose
Highest peakm · Higher wins ↑
2,829
3,002
Would lose
Coastlinekm · Higher wins ↑ · Chosen
965
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.0° N
13.4° S
Would lose
40
Round 40Won50 countries · 3 lives left
FrancevsHaiti
Population: 65,925,961 vs 11,637,398 people · Higher wins ↑
Conquered Haiti.
Other category comparisons 4 other winning choices
All eight categories for France against Haiti
Category
France
Haiti
Result
Areakm² · Higher wins ↑
551,500
27,750
Would win
Populationpeople · Higher wins ↑ · Chosen
65,925,961
11,637,398
Would win
Wealth per personint’l $ · Higher wins ↑
60,927
3,265
Would win
Densityper km² · Higher wins ↑
119.5
419.4
Would lose
Highest peakm · Higher wins ↑
4,810
2,674
Would win
Coastlinekm · Higher wins ↑
3,427
1,771
Would win
Flag colourscolours · Higher wins ↑
3
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Equatorial Guineavs
Hungary
Belarus
Mongolia
Yemen
Iceland
Benin
Bangladesh
Solomon Islands
Costa Rica
Sweden
Saudi Arabia
South Sudan
Guyana
Uruguay
Nepal
Serbia
Chad
Cameroon
Honduras
Timor-Leste
North Korea
Guinea
Vietnam
Republic of the Congo
Uganda
Bhutan
Lithuania
Sri Lanka
Australia
Botswana
Bolivia
China
Jordan
North Macedonia
Cabo Verde
Malawi
France
Haiti