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Untimed expedition · Data edition 01051846d672
97Wins
4Losses
1Ties
Explore the final empire · 106 countries
No countries match your search.
The path through the world
One choice at a time.
102 rounds
Where it began · 12 countries
Suriname · Canada · Gabon · Luxembourg · Israel · Pakistan · Sri Lanka · Andorra · France · Germany · Maldives · Montenegro
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
CanadavsCroatia
Area: 9,984,670 vs 56,594 km² · Higher wins ↑
Conquered Croatia.
Other category comparisons 4 other winning choices
All eight categories for Canada against Croatia
Category
Canada
Croatia
Result
Areakm² · Higher wins ↑ · Chosen
9,984,670
56,594
Would win
Populationpeople · Higher wins ↑
40,049,088
3,859,686
Would win
Wealth per personint’l $ · Higher wins ↑
64,962
47,760
Would win
Densityper km² · Higher wins ↑
4.0
68.2
Would lose
Highest peakm · Higher wins ↑
5,959
1,831
Would win
Coastlinekm · Higher wins ↑
202,080
5,835
Would win
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
58.8° N
45.8° N
Would lose
42
Round 42Won52 countries · 3 lives left
MyanmarvsLiberia
Area: 676,578 vs 111,369 km² · Higher wins ↑
Conquered Liberia.
Other category comparisons 6 other winning choices
All eight categories for Myanmar against Liberia
Category
Myanmar
Liberia
Result
Areakm² · Higher wins ↑ · Chosen
676,578
111,369
Would win
Populationpeople · Higher wins ↑
54,133,798
5,493,031
Would win
Wealth per personint’l $ · Higher wins ↑
5,958
1,796
Would win
Densityper km² · Higher wins ↑
80.0
49.3
Would win
Highest peakm · Higher wins ↑
5,870
1,447
Would win
Coastlinekm · Higher wins ↑
1,930
579
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° N
7.0° N
Would lose
43
Round 43Won53 countries · 3 lives left
South AfricavsRwanda
Area: 1,219,090 vs 26,338 km² · Higher wins ↑
Conquered Rwanda.
Other category comparisons 4 other winning choices
All eight categories for South Africa against Rwanda
Category
South Africa
Rwanda
Result
Areakm² · Higher wins ↑ · Chosen
1,219,090
26,338
Would win
Populationpeople · Higher wins ↑
63,212,384
13,954,471
Would win
Wealth per personint’l $ · Higher wins ↑
15,212
3,519
Would win
Densityper km² · Higher wins ↑
51.9
529.8
Would lose
Highest peakm · Higher wins ↑
3,450
4,519
Would lose
Coastlinekm · Higher wins ↑
2,798
0
Would win
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
30.2° S
1.8° S
Would lose
44
Round 44Won54 countries · 3 lives left
North KoreavsDominican Republic
Population: 26,418,204 vs 11,331,265 people · Higher wins ↑
Conquered Dominican Republic.
Other category comparisons 2 other winning choices
All eight categories for North Korea against Dominican Republic
Category
North Korea
Dominican Republic
Result
Areakm² · Higher wins ↑
120,538
48,670
Would win
Populationpeople · Higher wins ↑ · Chosen
26,418,204
11,331,265
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
25,861
Unavailable
Densityper km² · Higher wins ↑
219.2
232.8
Would lose
Highest peakm · Higher wins ↑
2,744
3,098
Would lose
Coastlinekm · Higher wins ↑
2,495
1,288
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
19.1° N
Would lose
45
Round 45Won55 countries · 3 lives left
GabonvsChina
Proximity to equator: 0.6° S vs 32.5° N from the equator · Closer wins ↓
Conquered China.
Other category comparisons 1 other winning choice
All eight categories for Gabon against China
Category
Gabon
China
Result
Areakm² · Higher wins ↑
267,667
9,596,960
Would lose
Populationpeople · Higher wins ↑
2,484,789
1,410,710,000
Would lose
Wealth per personint’l $ · Higher wins ↑
20,773
25,200
Would lose
Densityper km² · Higher wins ↑
9.3
147.0
Would lose
Highest peakm · Higher wins ↑
1,050
8,849
Would lose
Coastlinekm · Higher wins ↑
885
14,500
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.6° S
32.5° N
Would win
46
Round 46Won56 countries · 3 lives left
Timor-LestevsRepublic of the Congo
Density: 93.1 vs 18.1 per km² · Higher wins ↑
Conquered Republic of the Congo.
Other category comparisons 3 other winning choices
All eight categories for Timor-Leste against Republic of the Congo
Category
Timor-Leste
Republic of the Congo
Result
Areakm² · Higher wins ↑
14,874
342,000
Would lose
Populationpeople · Higher wins ↑
1,384,286
6,182,885
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
6,856
Would lose
Densityper km² · Higher wins ↑ · Chosen
93.1
18.1
Would win
Highest peakm · Higher wins ↑
2,963
1,020
Would win
Coastlinekm · Higher wins ↑
706
169
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
8.9° S
0.1° N
Would lose
47
Round 47Won57 countries · 3 lives left
JordanvsEswatini
Population: 11,439,213 vs 1,230,506 people · Higher wins ↑
Conquered Eswatini.
Other category comparisons 4 other winning choices
All eight categories for Jordan against Eswatini
Category
Jordan
Eswatini
Result
Areakm² · Higher wins ↑
89,342
17,364
Would win
Populationpeople · Higher wins ↑ · Chosen
11,439,213
1,230,506
Would win
Wealth per personint’l $ · Higher wins ↑
11,451
11,309
Would win
Densityper km² · Higher wins ↑
128.0
70.9
Would win
Highest peakm · Higher wins ↑
1,854
1,862
Would lose
Coastlinekm · Higher wins ↑
26
0
Would win
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
30.7° N
26.6° S
Would lose
48
Round 48Won58 countries · 3 lives left
AfghanistanvsUnited Kingdom
Highest peak: 7,492 vs 1,345 m · Higher wins ↑
Conquered United Kingdom.
Other category comparisons 3 other winning choices
All eight categories for Afghanistan against United Kingdom
Category
Afghanistan
United Kingdom
Result
Areakm² · Higher wins ↑
652,230
243,610
Would win
Populationpeople · Higher wins ↑
41,454,761
68,526,000
Would lose
Wealth per personint’l $ · Higher wins ↑
2,204
60,787
Would lose
Densityper km² · Higher wins ↑
63.6
281.3
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,492
1,345
Would win
Coastlinekm · Higher wins ↑
0
12,429
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
34.3° N
52.5° N
Would win
49
Round 49Won59 countries · 3 lives left
LuxembourgvsNew Zealand
Wealth per person: 152,596 vs 54,950 int’l $ · Higher wins ↑
Conquered New Zealand.
Other category comparisons 1 other winning choice
All eight categories for Luxembourg against New Zealand
Category
Luxembourg
New Zealand
Result
Areakm² · Higher wins ↑
2,586
268,838
Would lose
Populationpeople · Higher wins ↑
666,430
5,200,000
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
152,596
54,950
Would win
Densityper km² · Higher wins ↑
257.7
19.3
Would win
Highest peakm · Higher wins ↑
559
3,724
Would lose
Coastlinekm · Higher wins ↑
0
15,134
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
49.7° N
45.3° S
Would lose
50
Round 50Won60 countries · 3 lives left
United StatesvsYemen
Population: 336,755,052 vs 39,390,799 people · Higher wins ↑
Conquered Yemen.
Other category comparisons 3 other winning choices
All eight categories for United States against Yemen
Category
United States
Yemen
Result
Areakm² · Higher wins ↑
9,833,517
527,968
Would win
Populationpeople · Higher wins ↑ · Chosen
336,755,052
39,390,799
Would win
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
82,587
Unavailable
Unavailable
Densityper km² · Higher wins ↑
34.2
74.6
Would lose
Highest peakm · Higher wins ↑
6,190
3,666
Would win
Coastlinekm · Higher wins ↑
19,924
1,906
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
15.3° N
Would lose
51
Round 51Won61 countries · 3 lives left
KazakhstanvsGhana
Highest peak: 7,010 vs 885 m · Higher wins ↑
Conquered Ghana.
Other category comparisons 2 other winning choices
All eight categories for Kazakhstan against Ghana
Category
Kazakhstan
Ghana
Result
Areakm² · Higher wins ↑
2,724,900
238,533
Would win
Populationpeople · Higher wins ↑
20,330,104
33,787,914
Would lose
Wealth per personint’l $ · Higher wins ↑
38,547
7,563
Would win
Densityper km² · Higher wins ↑
7.5
141.6
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,010
885
Would win
Coastlinekm · Higher wins ↑
0
539
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
48.5° N
7.0° N
Would lose
52
Round 52Won62 countries · 3 lives left
BelgiumvsCosta Rica
Wealth per person: 72,630 vs 29,248 int’l $ · Higher wins ↑
Conquered Costa Rica.
Other category comparisons 2 other winning choices
All eight categories for Belgium against Costa Rica
Category
Belgium
Costa Rica
Result
Areakm² · Higher wins ↑
30,528
51,100
Would lose
Populationpeople · Higher wins ↑
11,779,946
5,105,525
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
72,630
29,248
Would win
Densityper km² · Higher wins ↑
385.9
99.9
Would win
Highest peakm · Higher wins ↑
694
3,819
Would lose
Coastlinekm · Higher wins ↑
66.5
1,290
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
50.8° N
10.1° N
Would lose
53
Round 53Won63 countries · 3 lives left
IsraelvsBahamas
Wealth per person: 55,301 vs 39,122 int’l $ · Higher wins ↑
Conquered Bahamas.
Other category comparisons 4 other winning choices
All eight categories for Israel against Bahamas
Category
Israel
Bahamas
Result
Areakm² · Higher wins ↑
21,937
13,880
Would win
Populationpeople · Higher wins ↑
9,849,000
399,440
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
55,301
39,122
Would win
Densityper km² · Higher wins ↑
449.0
28.8
Would win
Highest peakm · Higher wins ↑
2,224
64
Would win
Coastlinekm · Higher wins ↑
273
3,542
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
30.9° N
24.7° N
Would lose
54
Round 54Won64 countries · 3 lives left
PalestinevsCôte d’Ivoire
Density: 830.5 vs 96.6 per km² · Higher wins ↑
Conquered Côte d’Ivoire.
Other category comparisons 1 other winning choice
All eight categories for Palestine against Côte d’Ivoire
Category
Palestine
Côte d’Ivoire
Result
Areakm² · Higher wins ↑
6,220
322,463
Would lose
Populationpeople · Higher wins ↑
5,165,775
31,165,654
Would lose
Wealth per personint’l $ · Higher wins ↑
6,179
7,243
Would lose
Densityper km² · Higher wins ↑ · Chosen
830.5
96.6
Would win
Highest peakm · Higher wins ↑
1,020
1,752
Would lose
Coastlinekm · Higher wins ↑
40
515
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
7.5° N
Would lose
55
Round 55Won65 countries · 3 lives left
PortugalvsEquatorial Guinea
Wealth per person: 49,800 vs 16,997 int’l $ · Higher wins ↑
Conquered Equatorial Guinea.
Other category comparisons 4 other winning choices
All eight categories for Portugal against Equatorial Guinea
Category
Portugal
Equatorial Guinea
Result
Areakm² · Higher wins ↑
92,090
28,051
Would win
Populationpeople · Higher wins ↑
10,578,174
1,847,549
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
49,800
16,997
Would win
Densityper km² · Higher wins ↑
114.9
65.9
Would win
Highest peakm · Higher wins ↑
2,351
3,008
Would lose
Coastlinekm · Higher wins ↑
1,793
296
Would win
Flag colourscolours · Higher wins ↑
6
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
40.7° N
1.6° N
Would lose
56
Round 56Won66 countries · 3 lives left
EthiopiavsPhilippines
Proximity to equator: 8.5° N vs 17.0° N from the equator · Closer wins ↓
Conquered Philippines.
Other category comparisons 3 other winning choices
All eight categories for Ethiopia against Philippines
Category
Ethiopia
Philippines
Result
Areakm² · Higher wins ↑
1,104,300
300,000
Would win
Populationpeople · Higher wins ↑
128,691,692
114,891,199
Would win
Wealth per personint’l $ · Higher wins ↑
3,063
10,995
Would lose
Densityper km² · Higher wins ↑
116.5
383.0
Would lose
Highest peakm · Higher wins ↑
4,550
2,954
Would win
Coastlinekm · Higher wins ↑
0
36,289
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.5° N
17.0° N
Would win
57
Round 57Won67 countries · 3 lives left
PakistanvsBhutan
Population: 247,504,495 vs 786,385 people · Higher wins ↑
Conquered Bhutan.
Other category comparisons 4 other winning choices
All eight categories for Pakistan against Bhutan
Category
Pakistan
Bhutan
Result
Areakm² · Higher wins ↑
796,095
38,394
Would win
Populationpeople · Higher wins ↑ · Chosen
247,504,495
786,385
Would win
Wealth per personint’l $ · Higher wins ↑
6,019
16,229
Would lose
Densityper km² · Higher wins ↑
310.9
20.5
Would win
Highest peakm · Higher wins ↑
8,611
7,570
Would win
Coastlinekm · Higher wins ↑
1,046
0
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.8° N
27.5° N
Would lose
58
Round 58Won68 countries · 3 lives left
ColombiavsDenmark
Population: 52,321,152 vs 5,946,952 people · Higher wins ↑
Conquered Denmark.
Other category comparisons 4 other winning choices
All eight categories for Colombia against Denmark
Category
Colombia
Denmark
Result
Areakm² · Higher wins ↑
1,138,910
43,094
Would win
Populationpeople · Higher wins ↑ · Chosen
52,321,152
5,946,952
Would win
Wealth per personint’l $ · Higher wins ↑
21,282
77,425
Would lose
Densityper km² · Higher wins ↑
45.9
138.0
Would lose
Highest peakm · Higher wins ↑
5,730
171
Would win
Coastlinekm · Higher wins ↑
3,208
7,314
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
3.4° N
55.9° N
Would win
59
Round 59Won69 countries · 3 lives left
ChadvsHungary
Area: 1,284,000 vs 93,028 km² · Higher wins ↑
Conquered Hungary.
Other category comparisons 3 other winning choices
All eight categories for Chad against Hungary
Category
Chad
Hungary
Result
Areakm² · Higher wins ↑ · Chosen
1,284,000
93,028
Would win
Populationpeople · Higher wins ↑
19,319,064
9,592,186
Would win
Wealth per personint’l $ · Higher wins ↑
2,703
46,376
Would lose
Densityper km² · Higher wins ↑
15.0
103.1
Would lose
Highest peakm · Higher wins ↑
3,445
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 ↓
17.3° N
47.3° N
Would win
60
Round 60Won70 countries · 3 lives left
AustraliavsSudan
Area: 7,741,220 vs 1,861,484 km² · Higher wins ↑
Conquered Sudan.
Other category comparisons 2 other winning choices
All eight categories for Australia against Sudan
Category
Australia
Sudan
Result
Areakm² · Higher wins ↑ · Chosen
7,741,220
1,861,484
Would win
Populationpeople · Higher wins ↑
26,659,922
50,042,791
Would lose
Wealth per personint’l $ · Higher wins ↑
72,273
2,423
Would win
Densityper km² · Higher wins ↑
3.4
26.9
Would lose
Highest peakm · Higher wins ↑
2,228
3,042
Would lose
Coastlinekm · Higher wins ↑
25,760
853
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Canadavs
Croatia
Myanmar
Liberia
South Africa
Rwanda
North Korea
Dominican Republic
Gabon
China
Timor-Leste
Republic of the Congo
Jordan
Eswatini
Afghanistan
United Kingdom
Luxembourg
New Zealand
United States
Yemen
Kazakhstan
Ghana
Belgium
Costa Rica
Israel
Bahamas
Palestine
Côte d’Ivoire
Portugal
Equatorial Guinea
Ethiopia
Philippines
Pakistan
Bhutan
Colombia
Denmark
Chad
Hungary
Australia
Sudan