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Untimed expedition · Data edition 01051846d672
108Wins
4Losses
2Ties
Explore the final empire · 118 countries
No countries match your search.
The path through the world
One choice at a time.
114 rounds
Where it began · 12 countries
Brunei · Colombia · Republic of the Congo · Bangladesh · Angola · Kazakhstan · Azerbaijan · Liberia · Djibouti · Nigeria · Peru · Brazil
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
41
Round 41Won51 countries · 3 lives left
ColombiavsNorway
Population: 52,321,152 vs 5,519,601 people · Higher wins ↑
Conquered Norway.
Other category comparisons 4 other winning choices
All eight categories for Colombia against Norway
Category
Colombia
Norway
Result
Areakm² · Higher wins ↑
1,138,910
323,802
Would win
Populationpeople · Higher wins ↑ · Chosen
52,321,152
5,519,601
Would win
Wealth per personint’l $ · Higher wins ↑
21,282
107,768
Would lose
Densityper km² · Higher wins ↑
45.9
17.0
Would win
Highest peakm · Higher wins ↑
5,730
2,469
Would win
Coastlinekm · Higher wins ↑
3,208
25,148
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
3.4° N
61.5° N
Would win
42
Round 42Won52 countries · 3 lives left
FinlandvsLesotho
Wealth per person: 63,467 vs 2,880 int’l $ · Higher wins ↑
Conquered Lesotho.
Other category comparisons 3 other winning choices
All eight categories for Finland against Lesotho
Category
Finland
Lesotho
Result
Areakm² · Higher wins ↑
338,145
30,355
Would win
Populationpeople · Higher wins ↑
5,583,911
2,311,472
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
63,467
2,880
Would win
Densityper km² · Higher wins ↑
16.5
76.1
Would lose
Highest peakm · Higher wins ↑
1,328
3,482
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
29.4° S
Would lose
43
Round 43Won53 countries · 3 lives left
ArgentinavsDominican Republic
Population: 45,538,401 vs 11,331,265 people · Higher wins ↑
Conquered Dominican Republic.
Other category comparisons 4 other winning choices
All eight categories for Argentina against Dominican Republic
Category
Argentina
Dominican Republic
Result
Areakm² · Higher wins ↑
2,780,400
48,670
Would win
Populationpeople · Higher wins ↑ · Chosen
45,538,401
11,331,265
Would win
Wealth per personint’l $ · Higher wins ↑
30,246
25,861
Would win
Densityper km² · Higher wins ↑
16.4
232.8
Would lose
Highest peakm · Higher wins ↑
6,962
3,098
Would win
Coastlinekm · Higher wins ↑
4,989
1,288
Would win
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
31.4° S
19.1° N
Would lose
44
Round 44Won54 countries · 3 lives left
Papua New GuineavsCzechia
Highest peak: 4,509 vs 1,602 m · Higher wins ↑
Conquered Czechia.
Other category comparisons 4 other winning choices
All eight categories for Papua New Guinea against Czechia
Category
Papua New Guinea
Czechia
Result
Areakm² · Higher wins ↑
462,840
78,867
Would win
Populationpeople · Higher wins ↑
10,389,635
10,864,042
Would lose
Wealth per personint’l $ · Higher wins ↑
4,672
56,062
Would lose
Densityper km² · Higher wins ↑
22.4
137.8
Would lose
Highest peakm · Higher wins ↑ · Chosen
4,509
1,602
Would win
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
49.8° N
Would win
45
Round 45Won55 countries · 3 lives left
Republic of the CongovsSouth Sudan
Coastline: 169 vs 0 km · Higher wins ↑
Conquered South Sudan.
Other category comparisons 2 other winning choices
All eight categories for Republic of the Congo against South Sudan
Category
Republic of the Congo
South Sudan
Result
Areakm² · Higher wins ↑
342,000
644,329
Would lose
Populationpeople · Higher wins ↑
6,182,885
11,483,374
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
6,856
Unavailable
Unavailable
Densityper km² · Higher wins ↑
18.1
17.8
Would win
Highest peakm · Higher wins ↑
1,020
3,187
Would lose
Coastlinekm · Higher wins ↑ · Chosen
169
0
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
0.1° N
7.1° N
Would win
46
Round 46Won56 countries · 3 lives left
GhanavsEswatini
Area: 238,533 vs 17,364 km² · Higher wins ↑
Conquered Eswatini.
Other category comparisons 4 other winning choices
All eight categories for Ghana against Eswatini
Category
Ghana
Eswatini
Result
Areakm² · Higher wins ↑ · Chosen
238,533
17,364
Would win
Populationpeople · Higher wins ↑
33,787,914
1,230,506
Would win
Wealth per personint’l $ · Higher wins ↑
7,563
11,309
Would lose
Densityper km² · Higher wins ↑
141.6
70.9
Would win
Highest peakm · Higher wins ↑
885
1,862
Would lose
Coastlinekm · Higher wins ↑
539
0
Would win
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
7.0° N
26.6° S
Would win
47
Round 47Won57 countries · 3 lives left
DenmarkvsVietnam
Wealth per person: 77,425 vs 15,034 int’l $ · Higher wins ↑
Conquered Vietnam.
Other category comparisons 1 other winning choice
All eight categories for Denmark against Vietnam
Category
Denmark
Vietnam
Result
Areakm² · Higher wins ↑
43,094
331,210
Would lose
Populationpeople · Higher wins ↑
5,946,952
100,352,192
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
77,425
15,034
Would win
Densityper km² · Higher wins ↑
138.0
303.0
Would lose
Highest peakm · Higher wins ↑
171
3,144
Would lose
Coastlinekm · Higher wins ↑
7,314
3,444
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
55.9° N
21.7° N
Would lose
48
Round 48Won58 countries · 3 lives left
ThailandvsMexico
Proximity to equator: 15.5° N vs 23.5° N from the equator · Closer wins ↓
Conquered Mexico.
Other category comparisons 1 other winning choice
All eight categories for Thailand against Mexico
Category
Thailand
Mexico
Result
Areakm² · Higher wins ↑
513,120
1,964,375
Would lose
Populationpeople · Higher wins ↑
71,702,435
129,739,759
Would lose
Wealth per personint’l $ · Higher wins ↑
23,598
25,188
Would lose
Densityper km² · Higher wins ↑
139.7
66.0
Would win
Highest peakm · Higher wins ↑
2,565
5,636
Would lose
Coastlinekm · Higher wins ↑
3,219
9,330
Would lose
Flag colourscolours · Higher wins ↑
3
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
15.5° N
23.5° N
Would win
49
Round 49Won59 countries · 3 lives left
BangladeshvsSouth Africa
Population: 171,466,990 vs 63,212,384 people · Higher wins ↑
Conquered South Africa.
Other category comparisons 2 other winning choices
All eight categories for Bangladesh against South Africa
Category
Bangladesh
South Africa
Result
Areakm² · Higher wins ↑
148,460
1,219,090
Would lose
Populationpeople · Higher wins ↑ · Chosen
171,466,990
63,212,384
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
15,212
Would lose
Densityper km² · Higher wins ↑
1,155.0
51.9
Would win
Highest peakm · Higher wins ↑
1,060
3,450
Would lose
Coastlinekm · Higher wins ↑
580
2,798
Would lose
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
30.2° S
Would win
50
Round 50Won60 countries · 3 lives left
JapanvsMoldova
Population: 124,516,650 vs 2,457,783 people · Higher wins ↑
Conquered Moldova.
Other category comparisons 6 other winning choices
All eight categories for Japan against Moldova
Category
Japan
Moldova
Result
Areakm² · Higher wins ↑
377,915
33,851
Would win
Populationpeople · Higher wins ↑ · Chosen
124,516,650
2,457,783
Would win
Wealth per personint’l $ · Higher wins ↑
52,726
17,751
Would win
Densityper km² · Higher wins ↑
329.5
72.6
Would win
Highest peakm · Higher wins ↑
3,776
430
Would win
Coastlinekm · Higher wins ↑
29,751
0
Would win
Flag colourscolours · Higher wins ↑
2
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
36.7° N
47.5° N
Would win
51
Round 51Won61 countries · 3 lives left
TanzaniavsArmenia
Population: 66,617,606 vs 2,964,300 people · Higher wins ↑
Conquered Armenia.
Other category comparisons 5 other winning choices
All eight categories for Tanzania against Armenia
Category
Tanzania
Armenia
Result
Areakm² · Higher wins ↑
947,300
29,743
Would win
Populationpeople · Higher wins ↑ · Chosen
66,617,606
2,964,300
Would win
Wealth per personint’l $ · Higher wins ↑
4,022
21,552
Would lose
Densityper km² · Higher wins ↑
70.3
99.7
Would lose
Highest peakm · Higher wins ↑
5,895
4,090
Would win
Coastlinekm · Higher wins ↑
1,424
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
40.6° N
Would win
52
Round 52Won62 countries · 3 lives left
ChadvsSolomon Islands
Area: 1,284,000 vs 28,896 km² · Higher wins ↑
Conquered Solomon Islands.
Other category comparisons 3 other winning choices
All eight categories for Chad against Solomon Islands
Category
Chad
Solomon Islands
Result
Areakm² · Higher wins ↑ · Chosen
1,284,000
28,896
Would win
Populationpeople · Higher wins ↑
19,319,064
800,005
Would win
Wealth per personint’l $ · Higher wins ↑
2,703
2,599
Would win
Densityper km² · Higher wins ↑
15.0
27.7
Would lose
Highest peakm · Higher wins ↑
3,445
2,335
Would win
Coastlinekm · Higher wins ↑
0
5,313
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
17.3° N
9.6° S
Would lose
53
Round 53Won63 countries · 3 lives left
AngolavsCôte d’Ivoire
Area: 1,246,700 vs 322,463 km² · Higher wins ↑
Conquered Côte d’Ivoire.
Other category comparisons 4 other winning choices
All eight categories for Angola against Côte d’Ivoire
Category
Angola
Côte d’Ivoire
Result
Areakm² · Higher wins ↑ · Chosen
1,246,700
322,463
Would win
Populationpeople · Higher wins ↑
36,749,906
31,165,654
Would win
Wealth per personint’l $ · Higher wins ↑
9,550
7,243
Would win
Densityper km² · Higher wins ↑
29.5
96.6
Would lose
Highest peakm · Higher wins ↑
2,620
1,752
Would win
Coastlinekm · Higher wins ↑
1,600
515
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
13.2° S
7.5° N
Would lose
54
Round 54Won64 countries · 3 lives left
LatviavsAlgeria
Wealth per person: 42,784 vs 16,838 int’l $ · Higher wins ↑
Conquered Algeria.
Other category comparisons 1 other winning choice
All eight categories for Latvia against Algeria
Category
Latvia
Algeria
Result
Areakm² · Higher wins ↑
64,589
2,381,740
Would lose
Populationpeople · Higher wins ↑
1,883,710
46,164,219
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
42,784
16,838
Would win
Densityper km² · Higher wins ↑
29.2
19.4
Would win
Highest peakm · Higher wins ↑
312
2,908
Would lose
Coastlinekm · Higher wins ↑
498
998
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
56.6° N
27.4° N
Would lose
55
Round 55Won65 countries · 3 lives left
BeninvsCroatia
Proximity to equator: 10.4° N vs 45.8° N from the equator · Closer wins ↓
Conquered Croatia.
Other category comparisons 3 other winning choices
All eight categories for Benin against Croatia
Category
Benin
Croatia
Result
Areakm² · Higher wins ↑
112,622
56,594
Would win
Populationpeople · Higher wins ↑
14,111,034
3,859,686
Would win
Wealth per personint’l $ · Higher wins ↑
4,133
47,760
Would lose
Densityper km² · Higher wins ↑
125.3
68.2
Would win
Highest peakm · Higher wins ↑
675
1,831
Would lose
Coastlinekm · Higher wins ↑
121
5,835
Would lose
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.4° N
45.8° N
Would win
56
Round 56Won66 countries · 3 lives left
RwandavsKuwait
Proximity to equator: 1.8° S vs 29.4° N from the equator · Closer wins ↓
Conquered Kuwait.
Other category comparisons 4 other winning choices
All eight categories for Rwanda against Kuwait
Category
Rwanda
Kuwait
Result
Areakm² · Higher wins ↑
26,338
17,818
Would win
Populationpeople · Higher wins ↑
13,954,471
4,853,420
Would win
Wealth per personint’l $ · Higher wins ↑
3,519
53,083
Would lose
Densityper km² · Higher wins ↑
529.8
272.4
Would win
Highest peakm · Higher wins ↑
4,519
300
Would win
Coastlinekm · Higher wins ↑
0
499
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.8° S
29.4° N
Would win
57
Round 57Won67 countries · 3 lives left
KazakhstanvsCabo Verde
Area: 2,724,900 vs 4,033 km² · Higher wins ↑
Conquered Cabo Verde.
Other category comparisons 3 other winning choices
All eight categories for Kazakhstan against Cabo Verde
Category
Kazakhstan
Cabo Verde
Result
Areakm² · Higher wins ↑ · Chosen
2,724,900
4,033
Would win
Populationpeople · Higher wins ↑
20,330,104
522,331
Would win
Wealth per personint’l $ · Higher wins ↑
38,547
10,251
Would win
Densityper km² · Higher wins ↑
7.5
129.5
Would lose
Highest peakm · Higher wins ↑
7,010
2,829
Would win
Coastlinekm · Higher wins ↑
0
965
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
48.5° N
15.0° N
Would lose
58
Round 58Won68 countries · 3 lives left
MozambiquevsSweden
Proximity to equator: 14.0° S vs 65.8° N from the equator · Closer wins ↓
Conquered Sweden.
Other category comparisons 5 other winning choices
All eight categories for Mozambique against Sweden
Category
Mozambique
Sweden
Result
Areakm² · Higher wins ↑
799,380
450,295
Would win
Populationpeople · Higher wins ↑
33,635,160
10,536,632
Would win
Wealth per personint’l $ · Higher wins ↑
1,680
68,458
Would lose
Densityper km² · Higher wins ↑
42.1
23.4
Would win
Highest peakm · Higher wins ↑
2,436
2,100
Would win
Coastlinekm · Higher wins ↑
2,470
3,218
Would lose
Flag colourscolours · Higher wins ↑
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
14.0° S
65.8° N
Would win
59
Round 59Won69 countries · 3 lives left
ChilevsLebanon
Area: 756,102 vs 10,400 km² · Higher wins ↑
Conquered Lebanon.
Other category comparisons 5 other winning choices
All eight categories for Chile against Lebanon
Category
Chile
Lebanon
Result
Areakm² · Higher wins ↑ · Chosen
756,102
10,400
Would win
Populationpeople · Higher wins ↑
19,658,835
5,773,493
Would win
Wealth per personint’l $ · Higher wins ↑
33,174
12,585
Would win
Densityper km² · Higher wins ↑
26.0
555.1
Would lose
Highest peakm · Higher wins ↑
6,893
3,088
Would win
Coastlinekm · Higher wins ↑
6,435
225
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
23.4° S
34.2° N
Would win
60
Round 60Won70 countries · 3 lives left
PhilippinesvsGuyana
Population: 114,891,199 vs 826,353 people · Higher wins ↑
Conquered Guyana.
Other category comparisons 4 other winning choices
All eight categories for Philippines against Guyana
Category
Philippines
Guyana
Result
Areakm² · Higher wins ↑
300,000
214,969
Would win
Populationpeople · Higher wins ↑ · Chosen
114,891,199
826,353
Would win
Wealth per personint’l $ · Higher wins ↑
10,995
54,774
Would lose
Densityper km² · Higher wins ↑
383.0
3.8
Would win
Highest peakm · Higher wins ↑
2,954
2,775
Would win
Coastlinekm · Higher wins ↑
36,289
459
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Colombiavs
Norway
Finland
Lesotho
Argentina
Dominican Republic
Papua New Guinea
Czechia
Republic of the Congo
South Sudan
Ghana
Eswatini
Denmark
Vietnam
Thailand
Mexico
Bangladesh
South Africa
Japan
Moldova
Tanzania
Armenia
Chad
Solomon Islands
Angola
Côte d’Ivoire
Latvia
Algeria
Benin
Croatia
Rwanda
Kuwait
Kazakhstan
Cabo Verde
Mozambique
Sweden
Chile
Lebanon
Philippines
Guyana