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Untimed expedition · Data edition 01051846d672
152Wins
4Losses
0Ties
Explore the final empire · 160 countries
No countries match your search.
The path through the world
One choice at a time.
156 rounds
Where it began · 12 countries
Ghana · Estonia · Nigeria · Burundi · Comoros · Gambia · Bahrain · Angola · Portugal · Bosnia and Herzegovina · Ukraine · Mongolia
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
1
Round 1Won13 countries · 4 lives left
GhanavsDominican Republic
Proximity to equator: 7.0° N vs 19.1° N from the equator · Closer wins ↓
Conquered Dominican Republic.
Other category comparisons 2 other winning choices
All eight categories for Ghana against Dominican Republic
Category
Ghana
Dominican Republic
Result
Areakm² · Higher wins ↑
238,533
48,670
Would win
Populationpeople · Higher wins ↑
33,787,914
11,331,265
Would win
Wealth per personint’l $ · Higher wins ↑
7,563
25,861
Would lose
Densityper km² · Higher wins ↑
141.6
232.8
Would lose
Highest peakm · Higher wins ↑
885
3,098
Would lose
Coastlinekm · Higher wins ↑
539
1,288
Would lose
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
19.1° N
Would win
2
Round 2Won14 countries · 4 lives left
EstoniavsColombia
Wealth per person: 48,848 vs 21,282 int’l $ · Higher wins ↑
Conquered Colombia.
Other category comparisons 1 other winning choice
All eight categories for Estonia against Colombia
Category
Estonia
Colombia
Result
Areakm² · Higher wins ↑
45,228
1,138,910
Would lose
Populationpeople · Higher wins ↑
1,370,286
52,321,152
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
48,848
21,282
Would win
Densityper km² · Higher wins ↑
30.3
45.9
Would lose
Highest peakm · Higher wins ↑
318
5,730
Would lose
Coastlinekm · Higher wins ↑
3,794
3,208
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
58.6° N
3.4° N
Would lose
3
Round 3Won15 countries · 4 lives left
NigeriavsNorth Korea
Population: 227,882,945 vs 26,418,204 people · Higher wins ↑
Conquered North Korea.
Other category comparisons 3 other winning choices
All eight categories for Nigeria against North Korea
Category
Nigeria
North Korea
Result
Areakm² · Higher wins ↑
923,768
120,538
Would win
Populationpeople · Higher wins ↑ · Chosen
227,882,945
26,418,204
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
8,712
Unavailable
Unavailable
Densityper km² · Higher wins ↑
246.7
219.2
Would win
Highest peakm · Higher wins ↑
2,419
2,744
Would lose
Coastlinekm · Higher wins ↑
853
2,495
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
9.4° N
39.9° N
Would win
4
Round 4Won16 countries · 4 lives left
BurundivsBotswana
Proximity to equator: 3.4° S vs 22.1° S from the equator · Closer wins ↓
Conquered Botswana.
Other category comparisons 3 other winning choices
All eight categories for Burundi against Botswana
Category
Burundi
Botswana
Result
Areakm² · Higher wins ↑
27,830
581,730
Would lose
Populationpeople · Higher wins ↑
13,689,450
2,480,244
Would win
Wealth per personint’l $ · Higher wins ↑
1,147
21,029
Would lose
Densityper km² · Higher wins ↑
491.9
4.3
Would win
Highest peakm · Higher wins ↑
2,685
1,495
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
3.4° S
22.1° S
Would win
5
Round 5Won17 countries · 4 lives left
ComorosvsEswatini
Coastline: 340 vs 0 km · Higher wins ↑
Conquered Eswatini.
Other category comparisons 3 other winning choices
All eight categories for Comoros against Eswatini
Category
Comoros
Eswatini
Result
Areakm² · Higher wins ↑
2,235
17,364
Would lose
Populationpeople · Higher wins ↑
850,387
1,230,506
Would lose
Wealth per personint’l $ · Higher wins ↑
3,897
11,309
Would lose
Densityper km² · Higher wins ↑
380.5
70.9
Would win
Highest peakm · Higher wins ↑
2,360
1,862
Would win
Coastlinekm · Higher wins ↑ · Chosen
340
0
Would win
Flag colourscolours · Higher wins ↑
5
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
11.7° S
26.6° S
Would win
6
Round 6Won18 countries · 4 lives left
GambiavsPanama
Flag colours: 4 vs 3 colours · Higher wins ↑
Conquered Panama.
Other category comparisons 1 other winning choice
All eight categories for Gambia against Panama
Category
Gambia
Panama
Result
Areakm² · Higher wins ↑
11,300
75,420
Would lose
Populationpeople · Higher wins ↑
2,697,845
4,458,759
Would lose
Wealth per personint’l $ · Higher wins ↑
3,292
39,846
Would lose
Densityper km² · Higher wins ↑
238.7
59.1
Would win
Highest peakm · Higher wins ↑
63
3,475
Would lose
Coastlinekm · Higher wins ↑
80
2,490
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
13.6° N
8.4° N
Would lose
7
Round 7Won19 countries · 4 lives left
BahrainvsNew Zealand
Proximity to equator: 26.0° N vs 45.3° S from the equator · Closer wins ↓
Conquered New Zealand.
Other category comparisons 2 other winning choices
All eight categories for Bahrain against New Zealand
Category
Bahrain
New Zealand
Result
Areakm² · Higher wins ↑
760
268,838
Would lose
Populationpeople · Higher wins ↑
1,577,059
5,200,000
Would lose
Wealth per personint’l $ · Higher wins ↑
64,224
54,950
Would win
Densityper km² · Higher wins ↑
2,075.1
19.3
Would win
Highest peakm · Higher wins ↑
135
3,724
Would lose
Coastlinekm · Higher wins ↑
161
15,134
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
26.0° N
45.3° S
Would win
8
Round 8Won20 countries · 4 lives left
AngolavsTogo
Area: 1,246,700 vs 56,785 km² · Higher wins ↑
Conquered Togo.
Other category comparisons 4 other winning choices
All eight categories for Angola against Togo
Category
Angola
Togo
Result
Areakm² · Higher wins ↑ · Chosen
1,246,700
56,785
Would win
Populationpeople · Higher wins ↑
36,749,906
8,223,850
Would win
Wealth per personint’l $ · Higher wins ↑
9,550
3,572
Would win
Densityper km² · Higher wins ↑
29.5
144.8
Would lose
Highest peakm · Higher wins ↑
2,620
986
Would win
Coastlinekm · Higher wins ↑
1,600
56
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.2° S
8.9° N
Would lose
9
Round 9Won21 countries · 4 lives left
PortugalvsThailand
Wealth per person: 49,800 vs 23,598 int’l $ · Higher wins ↑
Conquered Thailand.
Other category comparisons 1 other winning choice
All eight categories for Portugal against Thailand
Category
Portugal
Thailand
Result
Areakm² · Higher wins ↑
92,090
513,120
Would lose
Populationpeople · Higher wins ↑
10,578,174
71,702,435
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
49,800
23,598
Would win
Densityper km² · Higher wins ↑
114.9
139.7
Would lose
Highest peakm · Higher wins ↑
2,351
2,565
Would lose
Coastlinekm · Higher wins ↑
1,793
3,219
Would lose
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.7° N
15.5° N
Would lose
10
Round 10Won22 countries · 4 lives left
Bosnia and HerzegovinavsLaos
Coastline: 20 vs 0 km · Higher wins ↑
Conquered Laos.
Other category comparisons 2 other winning choices
All eight categories for Bosnia and Herzegovina against Laos
Category
Bosnia and Herzegovina
Laos
Result
Areakm² · Higher wins ↑
51,197
236,800
Would lose
Populationpeople · Higher wins ↑
3,185,073
7,664,993
Would lose
Wealth per personint’l $ · Higher wins ↑
23,376
9,299
Would win
Densityper km² · Higher wins ↑
62.2
32.4
Would win
Highest peakm · Higher wins ↑
2,386
2,817
Would lose
Coastlinekm · Higher wins ↑ · Chosen
20
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
44.1° N
19.6° N
Would lose
11
Round 11Won23 countries · 4 lives left
UkrainevsSpain
Area: 603,550 vs 505,370 km² · Higher wins ↑
Conquered Spain.
Other category comparisons 0 other winning choices
All eight categories for Ukraine against Spain
Category
Ukraine
Spain
Result
Areakm² · Higher wins ↑ · Chosen
603,550
505,370
Would win
Populationpeople · Higher wins ↑
37,732,836
48,352,528
Would lose
Wealth per personint’l $ · Higher wins ↑
17,680
55,661
Would lose
Densityper km² · Higher wins ↑
62.5
95.7
Would lose
Highest peakm · Higher wins ↑
2,061
3,718
Would lose
Coastlinekm · Higher wins ↑
2,782
4,964
Would lose
Flag colourscolours · Higher wins ↑
2
10
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.6° N
40.0° N
Would lose
12
Round 12Won24 countries · 4 lives left
MongoliavsNorway
Area: 1,564,116 vs 323,802 km² · Higher wins ↑
Conquered Norway.
Other category comparisons 2 other winning choices
All eight categories for Mongolia against Norway
Category
Mongolia
Norway
Result
Areakm² · Higher wins ↑ · Chosen
1,564,116
323,802
Would win
Populationpeople · Higher wins ↑
3,481,145
5,519,601
Would lose
Wealth per personint’l $ · Higher wins ↑
18,020
107,768
Would lose
Densityper km² · Higher wins ↑
2.2
17.0
Would lose
Highest peakm · Higher wins ↑
4,374
2,469
Would win
Coastlinekm · Higher wins ↑
0
25,148
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
46.0° N
61.5° N
Would win
13
Round 13Won25 countries · 4 lives left
GhanavsBelgium
Proximity to equator: 7.0° N vs 50.8° N from the equator · Closer wins ↓
Conquered Belgium.
Other category comparisons 5 other winning choices
All eight categories for Ghana against Belgium
Category
Ghana
Belgium
Result
Areakm² · Higher wins ↑
238,533
30,528
Would win
Populationpeople · Higher wins ↑
33,787,914
11,779,946
Would win
Wealth per personint’l $ · Higher wins ↑
7,563
72,630
Would lose
Densityper km² · Higher wins ↑
141.6
385.9
Would lose
Highest peakm · Higher wins ↑
885
694
Would win
Coastlinekm · Higher wins ↑
539
66.5
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
50.8° N
Would win
14
Round 14Won26 countries · 4 lives left
Dominican RepublicvsLithuania
Proximity to equator: 19.1° N vs 55.1° N from the equator · Closer wins ↓
Conquered Lithuania.
Other category comparisons 5 other winning choices
All eight categories for Dominican Republic against Lithuania
Category
Dominican Republic
Lithuania
Result
Areakm² · Higher wins ↑
48,670
65,300
Would lose
Populationpeople · Higher wins ↑
11,331,265
2,871,585
Would win
Wealth per personint’l $ · Higher wins ↑
25,861
52,720
Would lose
Densityper km² · Higher wins ↑
232.8
44.0
Would win
Highest peakm · Higher wins ↑
3,098
294
Would win
Coastlinekm · Higher wins ↑
1,288
90
Would win
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
19.1° N
55.1° N
Would win
15
Round 15Won27 countries · 4 lives left
EstoniavsPoland
Wealth per person: 48,848 vs 48,473 int’l $ · Higher wins ↑
Conquered Poland.
Other category comparisons 2 other winning choices
All eight categories for Estonia against Poland
Category
Estonia
Poland
Result
Areakm² · Higher wins ↑
45,228
312,685
Would lose
Populationpeople · Higher wins ↑
1,370,286
36,687,353
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
48,848
48,473
Would win
Densityper km² · Higher wins ↑
30.3
117.3
Would lose
Highest peakm · Higher wins ↑
318
2,499
Would lose
Coastlinekm · Higher wins ↑
3,794
440
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
58.6° N
51.9° N
Would lose
16
Round 16Won28 countries · 4 lives left
ColombiavsMyanmar
Proximity to equator: 3.4° N vs 21.6° N from the equator · Closer wins ↓
Conquered Myanmar.
Other category comparisons 3 other winning choices
All eight categories for Colombia against Myanmar
Category
Colombia
Myanmar
Result
Areakm² · Higher wins ↑
1,138,910
676,578
Would win
Populationpeople · Higher wins ↑
52,321,152
54,133,798
Would lose
Wealth per personint’l $ · Higher wins ↑
21,282
5,958
Would win
Densityper km² · Higher wins ↑
45.9
80.0
Would lose
Highest peakm · Higher wins ↑
5,730
5,870
Would lose
Coastlinekm · Higher wins ↑
3,208
1,930
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
3.4° N
21.6° N
Would win
17
Round 17Won29 countries · 4 lives left
NigeriavsLesotho
Area: 923,768 vs 30,355 km² · Higher wins ↑
Conquered Lesotho.
Other category comparisons 5 other winning choices
All eight categories for Nigeria against Lesotho
Category
Nigeria
Lesotho
Result
Areakm² · Higher wins ↑ · Chosen
923,768
30,355
Would win
Populationpeople · Higher wins ↑
227,882,945
2,311,472
Would win
Wealth per personint’l $ · Higher wins ↑
8,712
2,880
Would win
Densityper km² · Higher wins ↑
246.7
76.1
Would win
Highest peakm · Higher wins ↑
2,419
3,482
Would lose
Coastlinekm · Higher wins ↑
853
0
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
9.4° N
29.4° S
Would win
18
Round 18Won30 countries · 4 lives left
North KoreavsZambia
Population: 26,418,204 vs 20,723,965 people · Higher wins ↑
Conquered Zambia.
Other category comparisons 3 other winning choices
All eight categories for North Korea against Zambia
Category
North Korea
Zambia
Result
Areakm² · Higher wins ↑
120,538
752,618
Would lose
Populationpeople · Higher wins ↑ · Chosen
26,418,204
20,723,965
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
4,080
Unavailable
Densityper km² · Higher wins ↑
219.2
27.5
Would win
Highest peakm · Higher wins ↑
2,744
2,330
Would win
Coastlinekm · Higher wins ↑
2,495
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
14.7° S
Would lose
19
Round 19Won31 countries · 4 lives left
BurundivsArmenia
Proximity to equator: 3.4° S vs 40.6° N from the equator · Closer wins ↓
Conquered Armenia.
Other category comparisons 2 other winning choices
All eight categories for Burundi against Armenia
Category
Burundi
Armenia
Result
Areakm² · Higher wins ↑
27,830
29,743
Would lose
Populationpeople · Higher wins ↑
13,689,450
2,964,300
Would win
Wealth per personint’l $ · Higher wins ↑
1,147
21,552
Would lose
Densityper km² · Higher wins ↑
491.9
99.7
Would win
Highest peakm · Higher wins ↑
2,685
4,090
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
3.4° S
40.6° N
Would win
20
Round 20Won32 countries · 4 lives left
BotswanavsBangladesh
Area: 581,730 vs 148,460 km² · Higher wins ↑
Conquered Bangladesh.
Other category comparisons 4 other winning choices
All eight categories for Botswana against Bangladesh
Category
Botswana
Bangladesh
Result
Areakm² · Higher wins ↑ · Chosen
581,730
148,460
Would win
Populationpeople · Higher wins ↑
2,480,244
171,466,990
Would lose
Wealth per personint’l $ · Higher wins ↑
21,029
9,155
Would win
Densityper km² · Higher wins ↑
4.3
1,155.0
Would lose
Highest peakm · Higher wins ↑
1,495
1,060
Would win
Coastlinekm · Higher wins ↑
0
580
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓