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Untimed expedition · Data edition 01051846d672
34Wins
4Losses
0Ties
Explore the final empire · 42 countries
No countries match your search.
The path through the world
One choice at a time.
38 rounds
Where it began · 12 countries
Jamaica · Egypt · El Salvador · Switzerland · Kenya · China · Niger · Honduras · Qatar · Timor-Leste · Estonia · 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.
21
Round 21Won31 countries · 3 lives left
KenyavsLiberia
Population: 55,339,003 vs 5,493,031 people · Higher wins ↑
Conquered Liberia.
Other category comparisons 6 other winning choices
All eight categories for Kenya against Liberia
Category
Kenya
Liberia
Result
Areakm² · Higher wins ↑
580,367
111,369
Would win
Populationpeople · Higher wins ↑ · Chosen
55,339,003
5,493,031
Would win
Wealth per personint’l $ · Higher wins ↑
6,322
1,796
Would win
Densityper km² · Higher wins ↑
95.4
49.3
Would win
Highest peakm · Higher wins ↑
5,199
1,447
Would win
Coastlinekm · Higher wins ↑
536
579
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
0.4° N
7.0° N
Would win
22
Round 22Won32 countries · 3 lives left
CroatiavsSouth Sudan
Coastline: 5,835 vs 0 km · Higher wins ↑
Conquered South Sudan.
Other category comparisons 1 other winning choice
All eight categories for Croatia against South Sudan
Category
Croatia
South Sudan
Result
Areakm² · Higher wins ↑
56,594
644,329
Would lose
Populationpeople · Higher wins ↑
3,859,686
11,483,374
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
47,760
Unavailable
Unavailable
Densityper km² · Higher wins ↑
68.2
17.8
Would win
Highest peakm · Higher wins ↑
1,831
3,187
Would lose
Coastlinekm · Higher wins ↑ · Chosen
5,835
0
Would win
Flag colourscolours · Higher wins ↑
6
6
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
45.8° N
7.1° N
Would lose
23
Round 23Won33 countries · 3 lives left
ChinavsGreece
Population: 1,410,710,000 vs 10,407,351 people · Higher wins ↑
Conquered Greece.
Other category comparisons 5 other winning choices
All eight categories for China against Greece
Category
China
Greece
Result
Areakm² · Higher wins ↑
9,596,960
131,957
Would win
Populationpeople · Higher wins ↑ · Chosen
1,410,710,000
10,407,351
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
42,614
Would lose
Densityper km² · Higher wins ↑
147.0
78.9
Would win
Highest peakm · Higher wins ↑
8,849
2,917
Would win
Coastlinekm · Higher wins ↑
14,500
13,676
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
39.8° N
Would win
24
Round 24Won34 countries · 3 lives left
FijivsPortugal
Proximity to equator: 17.8° S vs 40.7° N from the equator · Closer wins ↓
Conquered Portugal.
Other category comparisons 1 other winning choice
All eight categories for Fiji against Portugal
Category
Fiji
Portugal
Result
Areakm² · Higher wins ↑
18,274
92,090
Would lose
Populationpeople · Higher wins ↑
924,145
10,578,174
Would lose
Wealth per personint’l $ · Higher wins ↑
14,656
49,800
Would lose
Densityper km² · Higher wins ↑
50.6
114.9
Would lose
Highest peakm · Higher wins ↑
1,324
2,351
Would lose
Coastlinekm · Higher wins ↑
1,129
1,793
Would lose
Flag colourscolours · Higher wins ↑
8
6
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
17.8° S
40.7° N
Would win
25
Round 25Won35 countries · 3 lives left
NigervsBangladesh
Proximity to equator: 17.6° N vs 24.3° N from the equator · Closer wins ↓
Conquered Bangladesh.
Other category comparisons 3 other winning choices
All eight categories for Niger against Bangladesh
Category
Niger
Bangladesh
Result
Areakm² · Higher wins ↑
1,267,000
148,460
Would win
Populationpeople · Higher wins ↑
26,159,867
171,466,990
Would lose
Wealth per personint’l $ · Higher wins ↑
1,903
9,155
Would lose
Densityper km² · Higher wins ↑
20.6
1,155.0
Would lose
Highest peakm · Higher wins ↑
2,022
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 ↓ · Chosen
17.6° N
24.3° N
Would win
26
Round 26Lost34 countries · 2 lives left
GambiavsCambodia
Proximity to equator: 13.6° N vs 12.6° N from the equator · Closer wins ↓
Returned to the world: Gambia.
Other category comparisons 1 other winning choice
All eight categories for Gambia against Cambodia
Category
Gambia
Cambodia
Result
Areakm² · Higher wins ↑
11,300
181,035
Would lose
Populationpeople · Higher wins ↑
2,697,845
17,423,880
Would lose
Wealth per personint’l $ · Higher wins ↑
3,292
7,437
Would lose
Densityper km² · Higher wins ↑
238.7
96.2
Would win
Highest peakm · Higher wins ↑
63
1,810
Would lose
Coastlinekm · Higher wins ↑
80
443
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.6° N
12.6° N
Would lose
27
Round 27Won35 countries · 2 lives left
HondurasvsMadagascar
Wealth per person: 7,184 vs 1,810 int’l $ · Higher wins ↑
Conquered Madagascar.
Other category comparisons 2 other winning choices
All eight categories for Honduras against Madagascar
Category
Honduras
Madagascar
Result
Areakm² · Higher wins ↑
112,090
587,041
Would lose
Populationpeople · Higher wins ↑
10,644,851
31,195,932
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
7,184
1,810
Would win
Densityper km² · Higher wins ↑
95.0
53.1
Would win
Highest peakm · Higher wins ↑
2,870
2,876
Would lose
Coastlinekm · Higher wins ↑
823
4,828
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
14.7° N
18.4° S
Would win
28
Round 28Won36 countries · 2 lives left
MalawivsCzechia
Proximity to equator: 13.4° S vs 49.8° N from the equator · Closer wins ↓
Conquered Czechia.
Other category comparisons 4 other winning choices
All eight categories for Malawi against Czechia
Category
Malawi
Czechia
Result
Areakm² · Higher wins ↑
118,484
78,867
Would win
Populationpeople · Higher wins ↑
21,104,482
10,864,042
Would win
Wealth per personint’l $ · Higher wins ↑
1,832
56,062
Would lose
Densityper km² · Higher wins ↑
178.1
137.8
Would win
Highest peakm · Higher wins ↑
3,002
1,602
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
13.4° S
49.8° N
Would win
29
Round 29Won37 countries · 2 lives left
QatarvsSyria
Density: 229.2 vs 125.9 per km² · Higher wins ↑
Conquered Syria.
Other category comparisons 2 other winning choices
All eight categories for Qatar against Syria
Category
Qatar
Syria
Result
Areakm² · Higher wins ↑
11,586
187,437
Would lose
Populationpeople · Higher wins ↑
2,656,032
23,594,623
Would lose
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
129,025
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
229.2
125.9
Would win
Highest peakm · Higher wins ↑
103
2,814
Would lose
Coastlinekm · Higher wins ↑
563
193
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
25.1° N
35.0° N
Would win
30
Round 30Won38 countries · 2 lives left
NorwayvsAngola
Wealth per person: 107,768 vs 9,550 int’l $ · Higher wins ↑
Conquered Angola.
Other category comparisons 1 other winning choice
All eight categories for Norway against Angola
Category
Norway
Angola
Result
Areakm² · Higher wins ↑
323,802
1,246,700
Would lose
Populationpeople · Higher wins ↑
5,519,601
36,749,906
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
107,768
9,550
Would win
Densityper km² · Higher wins ↑
17.0
29.5
Would lose
Highest peakm · Higher wins ↑
2,469
2,620
Would lose
Coastlinekm · Higher wins ↑
25,148
1,600
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
61.5° N
13.2° S
Would lose
31
Round 31Won39 countries · 2 lives left
Timor-LestevsZimbabwe
Coastline: 706 vs 0 km · Higher wins ↑
Conquered Zimbabwe.
Other category comparisons 3 other winning choices
All eight categories for Timor-Leste against Zimbabwe
Category
Timor-Leste
Zimbabwe
Result
Areakm² · Higher wins ↑
14,874
390,757
Would lose
Populationpeople · Higher wins ↑
1,384,286
16,340,822
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
5,796
Would lose
Densityper km² · Higher wins ↑
93.1
41.8
Would win
Highest peakm · Higher wins ↑
2,963
2,592
Would win
Coastlinekm · Higher wins ↑ · Chosen
706
0
Would win
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
8.9° S
19.0° S
Would win
32
Round 32Won40 countries · 2 lives left
DR CongovsYemen
Proximity to equator: 1.9° S vs 15.3° N from the equator · Closer wins ↓
Conquered Yemen.
Other category comparisons 3 other winning choices
All eight categories for DR Congo against Yemen
Category
DR Congo
Yemen
Result
Areakm² · Higher wins ↑
2,344,858
527,968
Would win
Populationpeople · Higher wins ↑
105,789,731
39,390,799
Would win
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
1,732
Unavailable
Unavailable
Densityper km² · Higher wins ↑
45.1
74.6
Would lose
Highest peakm · Higher wins ↑
5,110
3,666
Would win
Coastlinekm · Higher wins ↑
37
1,906
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.9° S
15.3° N
Would win
33
Round 33Lost39 countries · 1 life left
EstoniavsItaly
Density: 30.3 vs 195.7 per km² · Higher wins ↑
Returned to the world: Estonia.
Other category comparisons 0 other winning choices
All eight categories for Estonia against Italy
Category
Estonia
Italy
Result
Areakm² · Higher wins ↑
45,228
301,340
Would lose
Populationpeople · Higher wins ↑
1,370,286
58,984,216
Would lose
Wealth per personint’l $ · Higher wins ↑
48,848
60,350
Would lose
Densityper km² · Higher wins ↑ · Chosen
30.3
195.7
Would lose
Highest peakm · Higher wins ↑
318
4,748
Would lose
Coastlinekm · Higher wins ↑
3,794
7,600
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
58.6° N
45.1° N
Would lose
34
Round 34Won40 countries · 1 life left
SingaporevsAzerbaijan
Wealth per person: 144,728 vs 23,671 int’l $ · Higher wins ↑
Conquered Azerbaijan.
Other category comparisons 3 other winning choices
All eight categories for Singapore against Azerbaijan
Category
Singapore
Azerbaijan
Result
Areakm² · Higher wins ↑
719
86,600
Would lose
Populationpeople · Higher wins ↑
5,917,648
10,153,958
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
144,728
23,671
Would win
Densityper km² · Higher wins ↑
8,230.4
117.3
Would win
Highest peakm · Higher wins ↑
166
4,466
Would lose
Coastlinekm · Higher wins ↑
193
0
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
40.5° N
Would win
35
Round 35Won41 countries · 1 life left
BrazilvsMaldives
Area: 8,515,770 vs 298 km² · Higher wins ↑
Conquered Maldives.
Other category comparisons 4 other winning choices
All eight categories for Brazil against Maldives
Category
Brazil
Maldives
Result
Areakm² · Higher wins ↑ · Chosen
8,515,770
298
Would win
Populationpeople · Higher wins ↑
211,140,729
525,994
Would win
Wealth per personint’l $ · Higher wins ↑
21,193
24,807
Would lose
Densityper km² · Higher wins ↑
24.8
1,765.1
Would lose
Highest peakm · Higher wins ↑
2,994
5
Would win
Coastlinekm · Higher wins ↑
7,491
644
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.6° S
3.3° N
Would lose
36
Round 36Won42 countries · 1 life left
MalaysiavsItaly
Proximity to equator: 4.4° N vs 45.1° N from the equator · Closer wins ↓
Conquered Italy.
Other category comparisons 2 other winning choices
All eight categories for Malaysia against Italy
Category
Malaysia
Italy
Result
Areakm² · Higher wins ↑
329,847
301,340
Would win
Populationpeople · Higher wins ↑
35,126,298
58,984,216
Would lose
Wealth per personint’l $ · Higher wins ↑
36,497
60,350
Would lose
Densityper km² · Higher wins ↑
106.5
195.7
Would lose
Highest peakm · Higher wins ↑
4,095
4,748
Would lose
Coastlinekm · Higher wins ↑
4,675
7,600
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
4.4° N
45.1° N
Would win
37
Round 37Won43 countries · 1 life left
JamaicavsLatvia
Coastline: 1,022 vs 498 km · Higher wins ↑
Conquered Latvia.
Other category comparisons 5 other winning choices
All eight categories for Jamaica against Latvia
Category
Jamaica
Latvia
Result
Areakm² · Higher wins ↑
10,991
64,589
Would lose
Populationpeople · Higher wins ↑
2,839,786
1,883,710
Would win
Wealth per personint’l $ · Higher wins ↑
12,661
42,784
Would lose
Densityper km² · Higher wins ↑
258.4
29.2
Would win
Highest peakm · Higher wins ↑
2,256
312
Would win
Coastlinekm · Higher wins ↑ · Chosen
1,022
498
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
18.1° N
56.6° N
Would win
38
Round 38Lost42 countries · 0 lives left
BelarusvsKazakhstan
Population: 9,178,298 vs 20,330,104 people · Higher wins ↑
Returned to the world: Belarus.
Other category comparisons 2 other winning choices
All eight categories for Belarus against Kazakhstan
Category
Belarus
Kazakhstan
Result
Areakm² · Higher wins ↑
207,600
2,724,900
Would lose
Populationpeople · Higher wins ↑ · Chosen
9,178,298
20,330,104
Would lose
Wealth per personint’l $ · Higher wins ↑
30,860
38,547
Would lose
Densityper km² · Higher wins ↑
44.2
7.5
Would win
Highest peakm · Higher wins ↑
346
7,010
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Kenyavs
Liberia
Croatia
South Sudan
China
Greece
Fiji
Portugal
Niger
Bangladesh
Gambia
Cambodia
Honduras
Madagascar
Malawi
Czechia
Qatar
Syria
Norway
Angola
Timor-Leste
Zimbabwe
DR Congo
Yemen
Estonia
Italy
Singapore
Azerbaijan
Brazil
Maldives
Malaysia
Jamaica
Latvia
Belarus
Kazakhstan