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Untimed expedition · Data edition 01051846d672
29Wins
1Losses
0Ties
Explore the final empire · 40 countries
No countries match your search.
The path through the world
One choice at a time.
30 rounds
Where it began · 12 countries
Côte d’Ivoire · Burundi · Yemen · Bangladesh · Belgium · Italy · Iraq · North Macedonia · Maldives · Kenya · Turkmenistan · Libya
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
Côte d’IvoirevsMozambique
Density: 96.6 vs 42.1 per km² · Higher wins ↑
Conquered Mozambique.
Other category comparisons 2 other winning choices
All eight categories for Côte d’Ivoire against Mozambique
Category
Côte d’Ivoire
Mozambique
Result
Areakm² · Higher wins ↑
322,463
799,380
Would lose
Populationpeople · Higher wins ↑
31,165,654
33,635,160
Would lose
Wealth per personint’l $ · Higher wins ↑
7,243
1,680
Would win
Densityper km² · Higher wins ↑ · Chosen
96.6
42.1
Would win
Highest peakm · Higher wins ↑
1,752
2,436
Would lose
Coastlinekm · Higher wins ↑
515
2,470
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
7.5° N
14.0° S
Would win
2
Round 2Won14 countries · 4 lives left
BurundivsOman
Density: 491.9 vs 16.3 per km² · Higher wins ↑
Conquered Oman.
Other category comparisons 2 other winning choices
All eight categories for Burundi against Oman
Category
Burundi
Oman
Result
Areakm² · Higher wins ↑
27,830
309,500
Would lose
Populationpeople · Higher wins ↑
13,689,450
5,049,269
Would win
Wealth per personint’l $ · Higher wins ↑
1,147
41,980
Would lose
Densityper km² · Higher wins ↑ · Chosen
491.9
16.3
Would win
Highest peakm · Higher wins ↑
2,685
3,004
Would lose
Coastlinekm · Higher wins ↑
0
2,092
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
3.4° S
22.1° N
Would win
3
Round 3Won15 countries · 4 lives left
YemenvsMoldova
Population: 39,390,799 vs 2,457,783 people · Higher wins ↑
Conquered Moldova.
Other category comparisons 5 other winning choices
All eight categories for Yemen against Moldova
Category
Yemen
Moldova
Result
Areakm² · Higher wins ↑
527,968
33,851
Would win
Populationpeople · Higher wins ↑ · Chosen
39,390,799
2,457,783
Would win
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
Unavailable
17,751
Unavailable
Densityper km² · Higher wins ↑
74.6
72.6
Would win
Highest peakm · Higher wins ↑
3,666
430
Would win
Coastlinekm · Higher wins ↑
1,906
0
Would win
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
15.3° N
47.5° N
Would win
4
Round 4Won16 countries · 4 lives left
BangladeshvsNepal
Population: 171,466,990 vs 29,694,614 people · Higher wins ↑
Conquered Nepal.
Other category comparisons 5 other winning choices
All eight categories for Bangladesh against Nepal
Category
Bangladesh
Nepal
Result
Areakm² · Higher wins ↑
148,460
147,181
Would win
Populationpeople · Higher wins ↑ · Chosen
171,466,990
29,694,614
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
5,400
Would win
Densityper km² · Higher wins ↑
1,155.0
201.8
Would win
Highest peakm · Higher wins ↑
1,060
8,849
Would lose
Coastlinekm · Higher wins ↑
580
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
29.0° N
Would win
5
Round 5Won17 countries · 4 lives left
BelgiumvsCentral African Republic
Wealth per person: 72,630 vs 1,258 int’l $ · Higher wins ↑
Conquered Central African Republic.
Other category comparisons 3 other winning choices
All eight categories for Belgium against Central African Republic
Category
Belgium
Central African Republic
Result
Areakm² · Higher wins ↑
30,528
622,984
Would lose
Populationpeople · Higher wins ↑
11,779,946
5,152,421
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
72,630
1,258
Would win
Densityper km² · Higher wins ↑
385.9
8.3
Would win
Highest peakm · Higher wins ↑
694
1,410
Would lose
Coastlinekm · Higher wins ↑
66.5
0
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
50.8° N
7.0° N
Would lose
6
Round 6Won18 countries · 4 lives left
ItalyvsGuyana
Population: 58,984,216 vs 826,353 people · Higher wins ↑
Conquered Guyana.
Other category comparisons 5 other winning choices
All eight categories for Italy against Guyana
Category
Italy
Guyana
Result
Areakm² · Higher wins ↑
301,340
214,969
Would win
Populationpeople · Higher wins ↑ · Chosen
58,984,216
826,353
Would win
Wealth per personint’l $ · Higher wins ↑
60,350
54,774
Would win
Densityper km² · Higher wins ↑
195.7
3.8
Would win
Highest peakm · Higher wins ↑
4,748
2,775
Would win
Coastlinekm · Higher wins ↑
7,600
459
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
45.1° N
2.7° N
Would lose
7
Round 7Won19 countries · 4 lives left
IraqvsMongolia
Population: 45,074,049 vs 3,481,145 people · Higher wins ↑
Conquered Mongolia.
Other category comparisons 4 other winning choices
All eight categories for Iraq against Mongolia
Category
Iraq
Mongolia
Result
Areakm² · Higher wins ↑
438,317
1,564,116
Would lose
Populationpeople · Higher wins ↑ · Chosen
45,074,049
3,481,145
Would win
Wealth per personint’l $ · Higher wins ↑
14,665
18,020
Would lose
Densityper km² · Higher wins ↑
102.8
2.2
Would win
Highest peakm · Higher wins ↑
3,611
4,374
Would lose
Coastlinekm · Higher wins ↑
58
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
33.3° N
46.0° N
Would win
8
Round 8Won20 countries · 4 lives left
North MacedoniavsNamibia
Density: 71.1 vs 3.6 per km² · Higher wins ↑
Conquered Namibia.
Other category comparisons 2 other winning choices
All eight categories for North Macedonia against Namibia
Category
North Macedonia
Namibia
Result
Areakm² · Higher wins ↑
25,713
824,292
Would lose
Populationpeople · Higher wins ↑
1,827,816
2,963,095
Would lose
Wealth per personint’l $ · Higher wins ↑
25,354
11,248
Would win
Densityper km² · Higher wins ↑ · Chosen
71.1
3.6
Would win
Highest peakm · Higher wins ↑
2,764
2,573
Would win
Coastlinekm · Higher wins ↑
0
1,572
Would lose
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
20.6° S
Would lose
9
Round 9Won21 countries · 4 lives left
MaldivesvsBotswana
Density: 1,765.1 vs 4.3 per km² · Higher wins ↑
Conquered Botswana.
Other category comparisons 3 other winning choices
All eight categories for Maldives against Botswana
Category
Maldives
Botswana
Result
Areakm² · Higher wins ↑
298
581,730
Would lose
Populationpeople · Higher wins ↑
525,994
2,480,244
Would lose
Wealth per personint’l $ · Higher wins ↑
24,807
21,029
Would win
Densityper km² · Higher wins ↑ · Chosen
1,765.1
4.3
Would win
Highest peakm · Higher wins ↑
5
1,495
Would lose
Coastlinekm · Higher wins ↑
644
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
3.3° N
22.1° S
Would win
10
Round 10Won22 countries · 4 lives left
KenyavsChina
Proximity to equator: 0.4° N vs 32.5° N from the equator · Closer wins ↓
Conquered China.
Other category comparisons 1 other winning choice
All eight categories for Kenya against China
Category
Kenya
China
Result
Areakm² · Higher wins ↑
580,367
9,596,960
Would lose
Populationpeople · Higher wins ↑
55,339,003
1,410,710,000
Would lose
Wealth per personint’l $ · Higher wins ↑
6,322
25,200
Would lose
Densityper km² · Higher wins ↑
95.4
147.0
Would lose
Highest peakm · Higher wins ↑
5,199
8,849
Would lose
Coastlinekm · Higher wins ↑
536
14,500
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.4° N
32.5° N
Would win
11
Round 11Won23 countries · 4 lives left
TurkmenistanvsMadagascar
Highest peak: 3,139 vs 2,876 m · Higher wins ↑
Conquered Madagascar.
Other category comparisons 2 other winning choices
All eight categories for Turkmenistan against Madagascar
Category
Turkmenistan
Madagascar
Result
Areakm² · Higher wins ↑
488,100
587,041
Would lose
Populationpeople · Higher wins ↑
7,364,438
31,195,932
Would lose
Wealth per personint’l $ · Higher wins ↑
19,645
1,810
Would win
Densityper km² · Higher wins ↑
15.1
53.1
Would lose
Highest peakm · Higher wins ↑ · Chosen
3,139
2,876
Would win
Coastlinekm · Higher wins ↑
0
4,828
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
18.4° S
Would lose
12
Round 12Won24 countries · 4 lives left
LibyavsSouth Africa
Area: 1,759,540 vs 1,219,090 km² · Higher wins ↑
Conquered South Africa.
Other category comparisons 1 other winning choice
All eight categories for Libya against South Africa
Category
Libya
South Africa
Result
Areakm² · Higher wins ↑ · Chosen
1,759,540
1,219,090
Would win
Populationpeople · Higher wins ↑
7,305,659
63,212,384
Would lose
Wealth per personint’l $ · Higher wins ↑
13,858
15,212
Would lose
Densityper km² · Higher wins ↑
4.2
51.9
Would lose
Highest peakm · Higher wins ↑
2,267
3,450
Would lose
Coastlinekm · Higher wins ↑
1,770
2,798
Would lose
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
30.2° S
Would win
13
Round 13Won25 countries · 4 lives left
Côte d’IvoirevsCzechia
Area: 322,463 vs 78,867 km² · Higher wins ↑
Conquered Czechia.
Other category comparisons 4 other winning choices
All eight categories for Côte d’Ivoire against Czechia
Category
Côte d’Ivoire
Czechia
Result
Areakm² · Higher wins ↑ · Chosen
322,463
78,867
Would win
Populationpeople · Higher wins ↑
31,165,654
10,864,042
Would win
Wealth per personint’l $ · Higher wins ↑
7,243
56,062
Would lose
Densityper km² · Higher wins ↑
96.6
137.8
Would lose
Highest peakm · Higher wins ↑
1,752
1,602
Would win
Coastlinekm · Higher wins ↑
515
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
7.5° N
49.8° N
Would win
14
Round 14Won26 countries · 4 lives left
MozambiquevsRwanda
Area: 799,380 vs 26,338 km² · Higher wins ↑
Conquered Rwanda.
Other category comparisons 3 other winning choices
All eight categories for Mozambique against Rwanda
Category
Mozambique
Rwanda
Result
Areakm² · Higher wins ↑ · Chosen
799,380
26,338
Would win
Populationpeople · Higher wins ↑
33,635,160
13,954,471
Would win
Wealth per personint’l $ · Higher wins ↑
1,680
3,519
Would lose
Densityper km² · Higher wins ↑
42.1
529.8
Would lose
Highest peakm · Higher wins ↑
2,436
4,519
Would lose
Coastlinekm · Higher wins ↑
2,470
0
Would win
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
14.0° S
1.8° S
Would lose
15
Round 15Won27 countries · 4 lives left
BurundivsBhutan
Density: 491.9 vs 20.5 per km² · Higher wins ↑
Conquered Bhutan.
Other category comparisons 2 other winning choices
All eight categories for Burundi against Bhutan
Category
Burundi
Bhutan
Result
Areakm² · Higher wins ↑
27,830
38,394
Would lose
Populationpeople · Higher wins ↑
13,689,450
786,385
Would win
Wealth per personint’l $ · Higher wins ↑
1,147
16,229
Would lose
Densityper km² · Higher wins ↑ · Chosen
491.9
20.5
Would win
Highest peakm · Higher wins ↑
2,685
7,570
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
3.4° S
27.5° N
Would win
16
Round 16Won28 countries · 4 lives left
OmanvsKuwait
Area: 309,500 vs 17,818 km² · Higher wins ↑
Conquered Kuwait.
Other category comparisons 4 other winning choices
All eight categories for Oman against Kuwait
Category
Oman
Kuwait
Result
Areakm² · Higher wins ↑ · Chosen
309,500
17,818
Would win
Populationpeople · Higher wins ↑
5,049,269
4,853,420
Would win
Wealth per personint’l $ · Higher wins ↑
41,980
53,083
Would lose
Densityper km² · Higher wins ↑
16.3
272.4
Would lose
Highest peakm · Higher wins ↑
3,004
300
Would win
Coastlinekm · Higher wins ↑
2,092
499
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
22.1° N
29.4° N
Would win
17
Round 17Won29 countries · 4 lives left
YemenvsVenezuela
Population: 39,390,799 vs 28,300,854 people · Higher wins ↑
Conquered Venezuela.
Other category comparisons 1 other winning choice
All eight categories for Yemen against Venezuela
Category
Yemen
Venezuela
Result
Areakm² · Higher wins ↑
527,968
912,050
Would lose
Populationpeople · Higher wins ↑ · Chosen
39,390,799
28,300,854
Would win
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.. Venezuela: World Bank has no 2023 figure for Venezuela.
Unavailable
Unavailable
Unavailable
Densityper km² · Higher wins ↑
74.6
31.0
Would win
Highest peakm · Higher wins ↑
3,666
4,978
Would lose
Coastlinekm · Higher wins ↑
1,906
2,800
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
15.3° N
7.2° N
Would lose
18
Round 18Won30 countries · 4 lives left
MoldovavsGuinea-Bissau
Wealth per person: 17,751 vs 2,956 int’l $ · Higher wins ↑
Conquered Guinea-Bissau.
Other category comparisons 4 other winning choices
All eight categories for Moldova against Guinea-Bissau
Category
Moldova
Guinea-Bissau
Result
Areakm² · Higher wins ↑
33,851
36,125
Would lose
Populationpeople · Higher wins ↑
2,457,783
2,153,339
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
17,751
2,956
Would win
Densityper km² · Higher wins ↑
72.6
59.6
Would win
Highest peakm · Higher wins ↑
430
277
Would win
Coastlinekm · Higher wins ↑
0
350
Would lose
Flag colourscolours · Higher wins ↑
9
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
47.5° N
12.1° N
Would lose
19
Round 19Won31 countries · 4 lives left
BangladeshvsGuatemala
Population: 171,466,990 vs 18,124,838 people · Higher wins ↑
Conquered Guatemala.
Other category comparisons 3 other winning choices
All eight categories for Bangladesh against Guatemala
Category
Bangladesh
Guatemala
Result
Areakm² · Higher wins ↑
148,460
108,889
Would win
Populationpeople · Higher wins ↑ · Chosen
171,466,990
18,124,838
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
13,752
Would lose
Densityper km² · Higher wins ↑
1,155.0
166.5
Would win
Highest peakm · Higher wins ↑
1,060
4,220
Would lose
Coastlinekm · Higher wins ↑
580
400
Would win
Flag colourscolours · Higher wins ↑
2
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
15.0° N
Would lose
20
Round 20Won32 countries · 4 lives left
NepalvsAndorra
Highest peak: 8,849 vs 2,946 m · Higher wins ↑
Conquered Andorra.
Other category comparisons 4 other winning choices
All eight categories for Nepal against Andorra
Category
Nepal
Andorra
Result
Areakm² · Higher wins ↑
147,181
468
Would win
Populationpeople · Higher wins ↑
29,694,614
80,856
Would win
Wealth per personint’l $ · Higher wins ↑
5,400
71,790
Would lose
Densityper km² · Higher wins ↑
201.8
172.8
Would win
Highest peakm · Higher wins ↑ · Chosen
8,849
2,946
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Côte d’Ivoirevs
Mozambique
Burundi
Oman
Yemen
Moldova
Bangladesh
Nepal
Belgium
Central African Republic
Italy
Guyana
Iraq
Mongolia
North Macedonia
Namibia
Maldives
Botswana
Kenya
China
Turkmenistan
Madagascar
Libya
South Africa
Czechia
Rwanda
Bhutan
Kuwait
Venezuela
Guinea-Bissau
Guatemala
Andorra