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Untimed expedition · Data edition 01051846d672
164Wins
3Losses
1Ties
Explore the final empire · 174 countries
No countries match your search.
The path through the world
One choice at a time.
168 rounds
Where it began · 12 countries
Israel · Sweden · Singapore · Japan · Kuwait · Panama · Trinidad and Tobago · North Macedonia · Maldives · Egypt · Uganda · Indonesia
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 21Lost29 countries · 2 lives left
KuwaitvsNepal
Proximity to equator: 29.4° N vs 29.0° N from the equator · Closer wins ↓
Returned to the world: Kuwait.
Other category comparisons 4 other winning choices
All eight categories for Kuwait against Nepal
Category
Kuwait
Nepal
Result
Areakm² · Higher wins ↑
17,818
147,181
Would lose
Populationpeople · Higher wins ↑
4,853,420
29,694,614
Would lose
Wealth per personint’l $ · Higher wins ↑
53,083
5,400
Would win
Densityper km² · Higher wins ↑
272.4
201.8
Would win
Highest peakm · Higher wins ↑
300
8,849
Would lose
Coastlinekm · Higher wins ↑
499
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
29.4° N
29.0° N
Would lose
22
Round 22Won30 countries · 2 lives left
KazakhstanvsBangladesh
Area: 2,724,900 vs 148,460 km² · Higher wins ↑
Conquered Bangladesh.
Other category comparisons 2 other winning choices
All eight categories for Kazakhstan against Bangladesh
Category
Kazakhstan
Bangladesh
Result
Areakm² · Higher wins ↑ · Chosen
2,724,900
148,460
Would win
Populationpeople · Higher wins ↑
20,330,104
171,466,990
Would lose
Wealth per personint’l $ · Higher wins ↑
38,547
9,155
Would win
Densityper km² · Higher wins ↑
7.5
1,155.0
Would lose
Highest peakm · Higher wins ↑
7,010
1,060
Would win
Coastlinekm · Higher wins ↑
0
580
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
48.5° N
24.3° N
Would lose
23
Round 23Won31 countries · 2 lives left
PanamavsMyanmar
Proximity to equator: 8.4° N vs 21.6° N from the equator · Closer wins ↓
Conquered Myanmar.
Other category comparisons 2 other winning choices
All eight categories for Panama against Myanmar
Category
Panama
Myanmar
Result
Areakm² · Higher wins ↑
75,420
676,578
Would lose
Populationpeople · Higher wins ↑
4,458,759
54,133,798
Would lose
Wealth per personint’l $ · Higher wins ↑
39,846
5,958
Would win
Densityper km² · Higher wins ↑
59.1
80.0
Would lose
Highest peakm · Higher wins ↑
3,475
5,870
Would lose
Coastlinekm · Higher wins ↑
2,490
1,930
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.4° N
21.6° N
Would win
24
Round 24Won32 countries · 2 lives left
NigervsZimbabwe
Population: 26,159,867 vs 16,340,822 people · Higher wins ↑
Conquered Zimbabwe.
Other category comparisons 2 other winning choices
All eight categories for Niger against Zimbabwe
Category
Niger
Zimbabwe
Result
Areakm² · Higher wins ↑
1,267,000
390,757
Would win
Populationpeople · Higher wins ↑ · Chosen
26,159,867
16,340,822
Would win
Wealth per personint’l $ · Higher wins ↑
1,903
5,796
Would lose
Densityper km² · Higher wins ↑
20.6
41.8
Would lose
Highest peakm · Higher wins ↑
2,022
2,592
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
17.6° N
19.0° S
Would win
25
Round 25Won33 countries · 2 lives left
North MacedoniavsEthiopia
Wealth per person: 25,354 vs 3,063 int’l $ · Higher wins ↑
Conquered Ethiopia.
Other category comparisons 0 other winning choices
All eight categories for North Macedonia against Ethiopia
Category
North Macedonia
Ethiopia
Result
Areakm² · Higher wins ↑
25,713
1,104,300
Would lose
Populationpeople · Higher wins ↑
1,827,816
128,691,692
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
25,354
3,063
Would win
Densityper km² · Higher wins ↑
71.1
116.5
Would lose
Highest peakm · Higher wins ↑
2,764
4,550
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
8.5° N
Would lose
26
Round 26Won34 countries · 2 lives left
BurundivsLithuania
Proximity to equator: 3.4° S vs 55.1° N from the equator · Closer wins ↓
Conquered Lithuania.
Other category comparisons 3 other winning choices
All eight categories for Burundi against Lithuania
Category
Burundi
Lithuania
Result
Areakm² · Higher wins ↑
27,830
65,300
Would lose
Populationpeople · Higher wins ↑
13,689,450
2,871,585
Would win
Wealth per personint’l $ · Higher wins ↑
1,147
52,720
Would lose
Densityper km² · Higher wins ↑
491.9
44.0
Would win
Highest peakm · Higher wins ↑
2,685
294
Would win
Coastlinekm · Higher wins ↑
0
90
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
3.4° S
55.1° N
Would win
27
Round 27Won35 countries · 2 lives left
MaldivesvsIraq
Proximity to equator: 3.3° N vs 33.3° N from the equator · Closer wins ↓
Conquered Iraq.
Other category comparisons 3 other winning choices
All eight categories for Maldives against Iraq
Category
Maldives
Iraq
Result
Areakm² · Higher wins ↑
298
438,317
Would lose
Populationpeople · Higher wins ↑
525,994
45,074,049
Would lose
Wealth per personint’l $ · Higher wins ↑
24,807
14,665
Would win
Densityper km² · Higher wins ↑
1,765.1
102.8
Would win
Highest peakm · Higher wins ↑
5
3,611
Would lose
Coastlinekm · Higher wins ↑
644
58
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
3.3° N
33.3° N
Would win
28
Round 28Won36 countries · 2 lives left
SerbiavsPeru
Flag colours: 5 vs 2 colours · Higher wins ↑
Conquered Peru.
Other category comparisons 2 other winning choices
All eight categories for Serbia against Peru
Category
Serbia
Peru
Result
Areakm² · Higher wins ↑
77,474
1,285,216
Would lose
Populationpeople · Higher wins ↑
6,623,183
33,845,617
Would lose
Wealth per personint’l $ · Higher wins ↑
29,777
17,042
Would win
Densityper km² · Higher wins ↑
85.5
26.3
Would win
Highest peakm · Higher wins ↑
2,169
6,746
Would lose
Coastlinekm · Higher wins ↑
0
2,414
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
44.2° N
13.0° S
Would lose
29
Round 29Won37 countries · 2 lives left
EgyptvsMoldova
Population: 114,535,772 vs 2,457,783 people · Higher wins ↑
Conquered Moldova.
Other category comparisons 6 other winning choices
All eight categories for Egypt against Moldova
Category
Egypt
Moldova
Result
Areakm² · Higher wins ↑
1,001,450
33,851
Would win
Populationpeople · Higher wins ↑ · Chosen
114,535,772
2,457,783
Would win
Wealth per personint’l $ · Higher wins ↑
18,540
17,751
Would win
Densityper km² · Higher wins ↑
114.4
72.6
Would win
Highest peakm · Higher wins ↑
2,629
430
Would win
Coastlinekm · Higher wins ↑
2,450
0
Would win
Flag colourscolours · Higher wins ↑
4
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
26.3° N
47.5° N
Would win
30
Round 30Won38 countries · 2 lives left
Burkina FasovsUruguay
Proximity to equator: 12.8° N vs 32.9° S from the equator · Closer wins ↓
Conquered Uruguay.
Other category comparisons 4 other winning choices
All eight categories for Burkina Faso against Uruguay
Category
Burkina Faso
Uruguay
Result
Areakm² · Higher wins ↑
274,200
176,215
Would win
Populationpeople · Higher wins ↑
23,025,776
3,388,081
Would win
Wealth per personint’l $ · Higher wins ↑
2,762
34,546
Would lose
Densityper km² · Higher wins ↑
84.0
19.2
Would win
Highest peakm · Higher wins ↑
749
514
Would win
Coastlinekm · Higher wins ↑
0
660
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.8° N
32.9° S
Would win
31
Round 31Won39 countries · 2 lives left
UgandavsBenin
Population: 48,656,601 vs 14,111,034 people · Higher wins ↑
Conquered Benin.
Other category comparisons 5 other winning choices
All eight categories for Uganda against Benin
Category
Uganda
Benin
Result
Areakm² · Higher wins ↑
241,038
112,622
Would win
Populationpeople · Higher wins ↑ · Chosen
48,656,601
14,111,034
Would win
Wealth per personint’l $ · Higher wins ↑
3,100
4,133
Would lose
Densityper km² · Higher wins ↑
201.9
125.3
Would win
Highest peakm · Higher wins ↑
5,110
675
Would win
Coastlinekm · Higher wins ↑
0
121
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
2.0° N
10.4° N
Would win
32
Round 32Won40 countries · 2 lives left
CameroonvsTimor-Leste
Area: 475,440 vs 14,874 km² · Higher wins ↑
Conquered Timor-Leste.
Other category comparisons 4 other winning choices
All eight categories for Cameroon against Timor-Leste
Category
Cameroon
Timor-Leste
Result
Areakm² · Higher wins ↑ · Chosen
475,440
14,874
Would win
Populationpeople · Higher wins ↑
28,372,687
1,384,286
Would win
Wealth per personint’l $ · Higher wins ↑
5,415
4,811
Would win
Densityper km² · Higher wins ↑
59.7
93.1
Would lose
Highest peakm · Higher wins ↑
4,045
2,963
Would win
Coastlinekm · Higher wins ↑
402
706
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
8.9° S
Would win
33
Round 33Won41 countries · 2 lives left
IndonesiavsHungary
Population: 281,190,067 vs 9,592,186 people · Higher wins ↑
Conquered Hungary.
Other category comparisons 5 other winning choices
All eight categories for Indonesia against Hungary
Category
Indonesia
Hungary
Result
Areakm² · Higher wins ↑
1,904,569
93,028
Would win
Populationpeople · Higher wins ↑ · Chosen
281,190,067
9,592,186
Would win
Wealth per personint’l $ · Higher wins ↑
15,428
46,376
Would lose
Densityper km² · Higher wins ↑
147.6
103.1
Would win
Highest peakm · Higher wins ↑
4,884
1,014
Would win
Coastlinekm · Higher wins ↑
54,716
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.0° S
47.3° N
Would win
34
Round 34Won42 countries · 2 lives left
LebanonvsKyrgyzstan
Density: 555.1 vs 35.5 per km² · Higher wins ↑
Conquered Kyrgyzstan.
Other category comparisons 4 other winning choices
All eight categories for Lebanon against Kyrgyzstan
Category
Lebanon
Kyrgyzstan
Result
Areakm² · Higher wins ↑
10,400
199,951
Would lose
Populationpeople · Higher wins ↑
5,773,493
7,099,750
Would lose
Wealth per personint’l $ · Higher wins ↑
12,585
7,304
Would win
Densityper km² · Higher wins ↑ · Chosen
555.1
35.5
Would win
Highest peakm · Higher wins ↑
3,088
7,439
Would lose
Coastlinekm · Higher wins ↑
225
0
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
34.2° N
41.7° N
Would win
35
Round 35Won43 countries · 2 lives left
IsraelvsUnited States
Density: 449.0 vs 34.2 per km² · Higher wins ↑
Conquered United States.
Other category comparisons 1 other winning choice
All eight categories for Israel against United States
Category
Israel
United States
Result
Areakm² · Higher wins ↑
21,937
9,833,517
Would lose
Populationpeople · Higher wins ↑
9,849,000
336,755,052
Would lose
Wealth per personint’l $ · Higher wins ↑
55,301
82,587
Would lose
Densityper km² · Higher wins ↑ · Chosen
449.0
34.2
Would win
Highest peakm · Higher wins ↑
2,224
6,190
Would lose
Coastlinekm · Higher wins ↑
273
19,924
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
30.9° N
39.1° N
Would win
36
Round 36Won44 countries · 2 lives left
South SudanvsMalawi
Area: 644,329 vs 118,484 km² · Higher wins ↑
Conquered Malawi.
Other category comparisons 3 other winning choices
All eight categories for South Sudan against Malawi
Category
South Sudan
Malawi
Result
Areakm² · Higher wins ↑ · Chosen
644,329
118,484
Would win
Populationpeople · Higher wins ↑
11,483,374
21,104,482
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
1,832
Unavailable
Densityper km² · Higher wins ↑
17.8
178.1
Would lose
Highest peakm · Higher wins ↑
3,187
3,002
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
13.4° S
Would win
37
Round 37Won45 countries · 2 lives left
SwitzerlandvsGuinea
Wealth per person: 93,940 vs 4,337 int’l $ · Higher wins ↑
Conquered Guinea.
Other category comparisons 2 other winning choices
All eight categories for Switzerland against Guinea
Category
Switzerland
Guinea
Result
Areakm² · Higher wins ↑
41,277
245,857
Would lose
Populationpeople · Higher wins ↑
8,888,822
14,405,468
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
93,940
4,337
Would win
Densityper km² · Higher wins ↑
215.3
58.6
Would win
Highest peakm · Higher wins ↑
4,634
1,752
Would win
Coastlinekm · Higher wins ↑
0
320
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
10.7° N
Would lose
38
Round 38Lost44 countries · 1 life left
CambodiavsGhana
Population: 17,423,880 vs 33,787,914 people · Higher wins ↑
Returned to the world: Cambodia.
Other category comparisons 1 other winning choice
All eight categories for Cambodia against Ghana
Category
Cambodia
Ghana
Result
Areakm² · Higher wins ↑
181,035
238,533
Would lose
Populationpeople · Higher wins ↑ · Chosen
17,423,880
33,787,914
Would lose
Wealth per personint’l $ · Higher wins ↑
7,437
7,563
Would lose
Densityper km² · Higher wins ↑
96.2
141.6
Would lose
Highest peakm · Higher wins ↑
1,810
885
Would win
Coastlinekm · Higher wins ↑
443
539
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
12.6° N
7.0° N
Would lose
39
Round 39Won45 countries · 1 life left
SwedenvsCuba
Area: 450,295 vs 110,860 km² · Higher wins ↑
Conquered Cuba.
Other category comparisons 1 other winning choice
All eight categories for Sweden against Cuba
Category
Sweden
Cuba
Result
Areakm² · Higher wins ↑ · Chosen
450,295
110,860
Would win
Populationpeople · Higher wins ↑
10,536,632
11,019,931
Would lose
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
68,458
Unavailable
Unavailable
Densityper km² · Higher wins ↑
23.4
99.4
Would lose
Highest peakm · Higher wins ↑
2,100
1,974
Would win
Coastlinekm · Higher wins ↑
3,218
3,735
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
65.8° N
20.6° N
Would lose
40
Round 40Won46 countries · 1 life left
HondurasvsLibya
Density: 95.0 vs 4.2 per km² · Higher wins ↑
Conquered Libya.
Other category comparisons 3 other winning choices
All eight categories for Honduras against Libya
Category
Honduras
Libya
Result
Areakm² · Higher wins ↑
112,090
1,759,540
Would lose
Populationpeople · Higher wins ↑
10,644,851
7,305,659
Would win
Wealth per personint’l $ · Higher wins ↑
7,184
13,858
Would lose
Densityper km² · Higher wins ↑ · Chosen
95.0
4.2
Would win
Highest peakm · Higher wins ↑
2,870
2,267
Would win
Coastlinekm · Higher wins ↑
823
1,770
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Kuwaitvs
Nepal
Kazakhstan
Bangladesh
Panama
Myanmar
Niger
Zimbabwe
North Macedonia
Ethiopia
Burundi
Lithuania
Maldives
Iraq
Serbia
Peru
Egypt
Moldova
Burkina Faso
Uruguay
Uganda
Benin
Cameroon
Timor-Leste
Indonesia
Hungary
Lebanon
Kyrgyzstan
Israel
United States
South Sudan
Malawi
Switzerland
Guinea
Cambodia
Ghana
Sweden
Cuba
Honduras
Libya