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Untimed expedition · Data edition 01051846d672
41Wins
2Losses
0Ties
Explore the final empire · 51 countries
No countries match your search.
The path through the world
One choice at a time.
43 rounds
Where it began · 12 countries
Indonesia · Hungary · Philippines · Tanzania · Ethiopia · Chad · Burundi · Peru · Canada · Ecuador · Thailand · Azerbaijan
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 21Won33 countries · 4 lives left
EthiopiavsLuxembourg
Population: 128,691,692 vs 666,430 people · Higher wins ↑
Conquered Luxembourg.
Other category comparisons 4 other winning choices
All eight categories for Ethiopia against Luxembourg
Category
Ethiopia
Luxembourg
Result
Areakm² · Higher wins ↑
1,104,300
2,586
Would win
Populationpeople · Higher wins ↑ · Chosen
128,691,692
666,430
Would win
Wealth per personint’l $ · Higher wins ↑
3,063
152,596
Would lose
Densityper km² · Higher wins ↑
116.5
257.7
Would lose
Highest peakm · Higher wins ↑
4,550
559
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
8.5° N
49.7° N
Would win
22
Round 22Lost32 countries · 3 lives left
Central African RepublicvsColombia
Proximity to equator: 7.0° N vs 3.4° N from the equator · Closer wins ↓
Returned to the world: Central African Republic.
Other category comparisons 1 other winning choice
All eight categories for Central African Republic against Colombia
Category
Central African Republic
Colombia
Result
Areakm² · Higher wins ↑
622,984
1,138,910
Would lose
Populationpeople · Higher wins ↑
5,152,421
52,321,152
Would lose
Wealth per personint’l $ · Higher wins ↑
1,258
21,282
Would lose
Densityper km² · Higher wins ↑
8.3
45.9
Would lose
Highest peakm · Higher wins ↑
1,410
5,730
Would lose
Coastlinekm · Higher wins ↑
0
3,208
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
3.4° N
Would lose
23
Round 23Won33 countries · 3 lives left
ChadvsNorth Macedonia
Area: 1,284,000 vs 25,713 km² · Higher wins ↑
Conquered North Macedonia.
Other category comparisons 4 other winning choices
All eight categories for Chad against North Macedonia
Category
Chad
North Macedonia
Result
Areakm² · Higher wins ↑ · Chosen
1,284,000
25,713
Would win
Populationpeople · Higher wins ↑
19,319,064
1,827,816
Would win
Wealth per personint’l $ · Higher wins ↑
2,703
25,354
Would lose
Densityper km² · Higher wins ↑
15.0
71.1
Would lose
Highest peakm · Higher wins ↑
3,445
2,764
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.3° N
41.5° N
Would win
24
Round 24Won34 countries · 3 lives left
LebanonvsZimbabwe
Density: 555.1 vs 41.8 per km² · Higher wins ↑
Conquered Zimbabwe.
Other category comparisons 3 other winning choices
All eight categories for Lebanon against Zimbabwe
Category
Lebanon
Zimbabwe
Result
Areakm² · Higher wins ↑
10,400
390,757
Would lose
Populationpeople · Higher wins ↑
5,773,493
16,340,822
Would lose
Wealth per personint’l $ · Higher wins ↑
12,585
5,796
Would win
Densityper km² · Higher wins ↑ · Chosen
555.1
41.8
Would win
Highest peakm · Higher wins ↑
3,088
2,592
Would win
Coastlinekm · Higher wins ↑
225
0
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
34.2° N
19.0° S
Would lose
25
Round 25Won35 countries · 3 lives left
BurundivsGuinea
Density: 491.9 vs 58.6 per km² · Higher wins ↑
Conquered Guinea.
Other category comparisons 2 other winning choices
All eight categories for Burundi against Guinea
Category
Burundi
Guinea
Result
Areakm² · Higher wins ↑
27,830
245,857
Would lose
Populationpeople · Higher wins ↑
13,689,450
14,405,468
Would lose
Wealth per personint’l $ · Higher wins ↑
1,147
4,337
Would lose
Densityper km² · Higher wins ↑ · Chosen
491.9
58.6
Would win
Highest peakm · Higher wins ↑
2,685
1,752
Would win
Coastlinekm · Higher wins ↑
0
320
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
3.4° S
10.7° N
Would win
26
Round 26Won36 countries · 3 lives left
South AfricavsIsrael
Population: 63,212,384 vs 9,849,000 people · Higher wins ↑
Conquered Israel.
Other category comparisons 5 other winning choices
All eight categories for South Africa against Israel
Category
South Africa
Israel
Result
Areakm² · Higher wins ↑
1,219,090
21,937
Would win
Populationpeople · Higher wins ↑ · Chosen
63,212,384
9,849,000
Would win
Wealth per personint’l $ · Higher wins ↑
15,212
55,301
Would lose
Densityper km² · Higher wins ↑
51.9
449.0
Would lose
Highest peakm · Higher wins ↑
3,450
2,224
Would win
Coastlinekm · Higher wins ↑
2,798
273
Would win
Flag colourscolours · Higher wins ↑
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
30.2° S
30.9° N
Would win
27
Round 27Won37 countries · 3 lives left
PeruvsJamaica
Area: 1,285,216 vs 10,991 km² · Higher wins ↑
Conquered Jamaica.
Other category comparisons 5 other winning choices
All eight categories for Peru against Jamaica
Category
Peru
Jamaica
Result
Areakm² · Higher wins ↑ · Chosen
1,285,216
10,991
Would win
Populationpeople · Higher wins ↑
33,845,617
2,839,786
Would win
Wealth per personint’l $ · Higher wins ↑
17,042
12,661
Would win
Densityper km² · Higher wins ↑
26.3
258.4
Would lose
Highest peakm · Higher wins ↑
6,746
2,256
Would win
Coastlinekm · Higher wins ↑
2,414
1,022
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.0° S
18.1° N
Would win
28
Round 28Won38 countries · 3 lives left
EgyptvsPanama
Population: 114,535,772 vs 4,458,759 people · Higher wins ↑
Conquered Panama.
Other category comparisons 3 other winning choices
All eight categories for Egypt against Panama
Category
Egypt
Panama
Result
Areakm² · Higher wins ↑
1,001,450
75,420
Would win
Populationpeople · Higher wins ↑ · Chosen
114,535,772
4,458,759
Would win
Wealth per personint’l $ · Higher wins ↑
18,540
39,846
Would lose
Densityper km² · Higher wins ↑
114.4
59.1
Would win
Highest peakm · Higher wins ↑
2,629
3,475
Would lose
Coastlinekm · Higher wins ↑
2,450
2,490
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
26.3° N
8.4° N
Would lose
29
Round 29Won39 countries · 3 lives left
CanadavsGuyana
Area: 9,984,670 vs 214,969 km² · Higher wins ↑
Conquered Guyana.
Other category comparisons 5 other winning choices
All eight categories for Canada against Guyana
Category
Canada
Guyana
Result
Areakm² · Higher wins ↑ · Chosen
9,984,670
214,969
Would win
Populationpeople · Higher wins ↑
40,049,088
826,353
Would win
Wealth per personint’l $ · Higher wins ↑
64,962
54,774
Would win
Densityper km² · Higher wins ↑
4.0
3.8
Would win
Highest peakm · Higher wins ↑
5,959
2,775
Would win
Coastlinekm · Higher wins ↑
202,080
459
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
58.8° N
2.7° N
Would lose
30
Round 30Won40 countries · 3 lives left
BoliviavsComoros
Highest peak: 6,542 vs 2,360 m · Higher wins ↑
Conquered Comoros.
Other category comparisons 4 other winning choices
All eight categories for Bolivia against Comoros
Category
Bolivia
Comoros
Result
Areakm² · Higher wins ↑
1,098,581
2,235
Would win
Populationpeople · Higher wins ↑
12,244,159
850,387
Would win
Wealth per personint’l $ · Higher wins ↑
12,903
3,897
Would win
Densityper km² · Higher wins ↑
11.1
380.5
Would lose
Highest peakm · Higher wins ↑ · Chosen
6,542
2,360
Would win
Coastlinekm · Higher wins ↑
0
340
Would lose
Flag colourscolours · Higher wins ↑
9
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.7° S
11.7° S
Would lose
31
Round 31Won41 countries · 3 lives left
EcuadorvsCambodia
Proximity to equator: 1.2° S vs 12.6° N from the equator · Closer wins ↓
Conquered Cambodia.
Other category comparisons 6 other winning choices
All eight categories for Ecuador against Cambodia
Category
Ecuador
Cambodia
Result
Areakm² · Higher wins ↑
283,561
181,035
Would win
Populationpeople · Higher wins ↑
17,980,083
17,423,880
Would win
Wealth per personint’l $ · Higher wins ↑
15,907
7,437
Would win
Densityper km² · Higher wins ↑
63.4
96.2
Would lose
Highest peakm · Higher wins ↑
6,267
1,810
Would win
Coastlinekm · Higher wins ↑
2,237
443
Would win
Flag colourscolours · Higher wins ↑
11
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.2° S
12.6° N
Would win
32
Round 32Won42 countries · 3 lives left
MalivsFrance
Proximity to equator: 18.6° N vs 46.7° N from the equator · Closer wins ↓
Conquered France.
Other category comparisons 1 other winning choice
All eight categories for Mali against France
Category
Mali
France
Result
Areakm² · Higher wins ↑
1,240,192
551,500
Would win
Populationpeople · Higher wins ↑
23,769,127
65,925,961
Would lose
Wealth per personint’l $ · Higher wins ↑
3,178
60,927
Would lose
Densityper km² · Higher wins ↑
19.2
119.5
Would lose
Highest peakm · Higher wins ↑
1,155
4,810
Would lose
Coastlinekm · Higher wins ↑
0
3,427
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
18.6° N
46.7° N
Would win
33
Round 33Won43 countries · 3 lives left
ThailandvsUganda
Coastline: 3,219 vs 0 km · Higher wins ↑
Conquered Uganda.
Other category comparisons 3 other winning choices
All eight categories for Thailand against Uganda
Category
Thailand
Uganda
Result
Areakm² · Higher wins ↑
513,120
241,038
Would win
Populationpeople · Higher wins ↑
71,702,435
48,656,601
Would win
Wealth per personint’l $ · Higher wins ↑
23,598
3,100
Would win
Densityper km² · Higher wins ↑
139.7
201.9
Would lose
Highest peakm · Higher wins ↑
2,565
5,110
Would lose
Coastlinekm · Higher wins ↑ · Chosen
3,219
0
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
15.5° N
2.0° N
Would lose
34
Round 34Won44 countries · 3 lives left
Papua New GuineavsSolomon Islands
Area: 462,840 vs 28,896 km² · Higher wins ↑
Conquered Solomon Islands.
Other category comparisons 4 other winning choices
All eight categories for Papua New Guinea against Solomon Islands
Category
Papua New Guinea
Solomon Islands
Result
Areakm² · Higher wins ↑ · Chosen
462,840
28,896
Would win
Populationpeople · Higher wins ↑
10,389,635
800,005
Would win
Wealth per personint’l $ · Higher wins ↑
4,672
2,599
Would win
Densityper km² · Higher wins ↑
22.4
27.7
Would lose
Highest peakm · Higher wins ↑
4,509
2,335
Would win
Coastlinekm · Higher wins ↑
5,152
5,313
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
9.6° S
Would win
35
Round 35Won45 countries · 3 lives left
AzerbaijanvsMalawi
Highest peak: 4,466 vs 3,002 m · Higher wins ↑
Conquered Malawi.
Other category comparisons 2 other winning choices
All eight categories for Azerbaijan against Malawi
Category
Azerbaijan
Malawi
Result
Areakm² · Higher wins ↑
86,600
118,484
Would lose
Populationpeople · Higher wins ↑
10,153,958
21,104,482
Would lose
Wealth per personint’l $ · Higher wins ↑
23,671
1,832
Would win
Densityper km² · Higher wins ↑
117.3
178.1
Would lose
Highest peakm · Higher wins ↑ · Chosen
4,466
3,002
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.5° N
13.4° S
Would lose
36
Round 36Won46 countries · 3 lives left
AlgeriavsNetherlands
Area: 2,381,740 vs 41,543 km² · Higher wins ↑
Conquered Netherlands.
Other category comparisons 4 other winning choices
All eight categories for Algeria against Netherlands
Category
Algeria
Netherlands
Result
Areakm² · Higher wins ↑ · Chosen
2,381,740
41,543
Would win
Populationpeople · Higher wins ↑
46,164,219
17,877,117
Would win
Wealth per personint’l $ · Higher wins ↑
16,838
80,392
Would lose
Densityper km² · Higher wins ↑
19.4
430.3
Would lose
Highest peakm · Higher wins ↑
2,908
322
Would win
Coastlinekm · Higher wins ↑
998
451
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
27.4° N
52.2° N
Would win
37
Round 37Won47 countries · 3 lives left
IndonesiavsGreece
Population: 281,190,067 vs 10,407,351 people · Higher wins ↑
Conquered Greece.
Other category comparisons 5 other winning choices
All eight categories for Indonesia against Greece
Category
Indonesia
Greece
Result
Areakm² · Higher wins ↑
1,904,569
131,957
Would win
Populationpeople · Higher wins ↑ · Chosen
281,190,067
10,407,351
Would win
Wealth per personint’l $ · Higher wins ↑
15,428
42,614
Would lose
Densityper km² · Higher wins ↑
147.6
78.9
Would win
Highest peakm · Higher wins ↑
4,884
2,917
Would win
Coastlinekm · Higher wins ↑
54,716
13,676
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
1.0° S
39.8° N
Would win
38
Round 38Won48 countries · 3 lives left
YemenvsRomania
Population: 39,390,799 vs 19,061,062 people · Higher wins ↑
Conquered Romania.
Other category comparisons 4 other winning choices
All eight categories for Yemen against Romania
Category
Yemen
Romania
Result
Areakm² · Higher wins ↑
527,968
238,391
Would win
Populationpeople · Higher wins ↑ · Chosen
39,390,799
19,061,062
Would win
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
Unavailable
45,982
Unavailable
Densityper km² · Higher wins ↑
74.6
80.0
Would lose
Highest peakm · Higher wins ↑
3,666
2,544
Would win
Coastlinekm · Higher wins ↑
1,906
225
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
15.3° N
45.7° N
Would win
39
Round 39Won49 countries · 3 lives left
DR CongovsTogo
Population: 105,789,731 vs 8,223,850 people · Higher wins ↑
Conquered Togo.
Other category comparisons 3 other winning choices
All eight categories for DR Congo against Togo
Category
DR Congo
Togo
Result
Areakm² · Higher wins ↑
2,344,858
56,785
Would win
Populationpeople · Higher wins ↑ · Chosen
105,789,731
8,223,850
Would win
Wealth per personint’l $ · Higher wins ↑
1,732
3,572
Would lose
Densityper km² · Higher wins ↑
45.1
144.8
Would lose
Highest peakm · Higher wins ↑
5,110
986
Would win
Coastlinekm · Higher wins ↑
37
56
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.9° S
8.9° N
Would win
40
Round 40Won50 countries · 3 lives left
ChinavsBahrain
Population: 1,410,710,000 vs 1,577,059 people · Higher wins ↑
Conquered Bahrain.
Other category comparisons 3 other winning choices
All eight categories for China against Bahrain
Category
China
Bahrain
Result
Areakm² · Higher wins ↑
9,596,960
760
Would win
Populationpeople · Higher wins ↑ · Chosen
1,410,710,000
1,577,059
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
64,224
Would lose
Densityper km² · Higher wins ↑
147.0
2,075.1
Would lose
Highest peakm · Higher wins ↑
8,849
135
Would win
Coastlinekm · Higher wins ↑
14,500
161
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓