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Untimed expedition · Data edition 01051846d672
156Wins
4Losses
1Ties
Explore the final empire · 165 countries
No countries match your search.
The path through the world
One choice at a time.
161 rounds
Where it began · 12 countries
United Kingdom · Lithuania · Dominican Republic · Comoros · Norway · Argentina · Timor-Leste · Mauritius · South Korea · Palestine · Togo · Tanzania
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
United KingdomvsSomalia
Population: 68,526,000 vs 18,358,615 people · Higher wins ↑
Conquered Somalia.
Other category comparisons 4 other winning choices
All eight categories for United Kingdom against Somalia
Category
United Kingdom
Somalia
Result
Areakm² · Higher wins ↑
243,610
637,657
Would lose
Populationpeople · Higher wins ↑ · Chosen
68,526,000
18,358,615
Would win
Wealth per personint’l $ · Higher wins ↑
60,787
1,557
Would win
Densityper km² · Higher wins ↑
281.3
28.8
Would win
Highest peakm · Higher wins ↑
1,345
2,460
Would lose
Coastlinekm · Higher wins ↑
12,429
3,025
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
52.5° N
2.6° N
Would lose
2
Round 2Won14 countries · 4 lives left
LithuaniavsSierra Leone
Wealth per person: 52,720 vs 3,371 int’l $ · Higher wins ↑
Conquered Sierra Leone.
Other category comparisons 0 other winning choices
All eight categories for Lithuania against Sierra Leone
Category
Lithuania
Sierra Leone
Result
Areakm² · Higher wins ↑
65,300
71,740
Would lose
Populationpeople · Higher wins ↑
2,871,585
8,460,512
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
52,720
3,371
Would win
Densityper km² · Higher wins ↑
44.0
117.9
Would lose
Highest peakm · Higher wins ↑
294
1,948
Would lose
Coastlinekm · Higher wins ↑
90
402
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
55.1° N
8.7° N
Would lose
3
Round 3Won15 countries · 4 lives left
Dominican RepublicvsPeru
Density: 232.8 vs 26.3 per km² · Higher wins ↑
Conquered Peru.
Other category comparisons 2 other winning choices
All eight categories for Dominican Republic against Peru
Category
Dominican Republic
Peru
Result
Areakm² · Higher wins ↑
48,670
1,285,216
Would lose
Populationpeople · Higher wins ↑
11,331,265
33,845,617
Would lose
Wealth per personint’l $ · Higher wins ↑
25,861
17,042
Would win
Densityper km² · Higher wins ↑ · Chosen
232.8
26.3
Would win
Highest peakm · Higher wins ↑
3,098
6,746
Would lose
Coastlinekm · Higher wins ↑
1,288
2,414
Would lose
Flag colourscolours · Higher wins ↑
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.1° N
13.0° S
Would lose
4
Round 4Won16 countries · 4 lives left
ComorosvsAustria
Proximity to equator: 11.7° S vs 47.7° N from the equator · Closer wins ↓
Conquered Austria.
Other category comparisons 3 other winning choices
All eight categories for Comoros against Austria
Category
Comoros
Austria
Result
Areakm² · Higher wins ↑
2,235
83,871
Would lose
Populationpeople · Higher wins ↑
850,387
9,131,761
Would lose
Wealth per personint’l $ · Higher wins ↑
3,897
74,261
Would lose
Densityper km² · Higher wins ↑
380.5
108.9
Would win
Highest peakm · Higher wins ↑
2,360
3,798
Would lose
Coastlinekm · Higher wins ↑
340
0
Would win
Flag colourscolours · Higher wins ↑
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
11.7° S
47.7° N
Would win
5
Round 5Won17 countries · 4 lives left
NorwayvsMalaysia
Coastline: 25,148 vs 4,675 km · Higher wins ↑
Conquered Malaysia.
Other category comparisons 1 other winning choice
All eight categories for Norway against Malaysia
Category
Norway
Malaysia
Result
Areakm² · Higher wins ↑
323,802
329,847
Would lose
Populationpeople · Higher wins ↑
5,519,601
35,126,298
Would lose
Wealth per personint’l $ · Higher wins ↑
107,768
36,497
Would win
Densityper km² · Higher wins ↑
17.0
106.5
Would lose
Highest peakm · Higher wins ↑
2,469
4,095
Would lose
Coastlinekm · Higher wins ↑ · Chosen
25,148
4,675
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
61.5° N
4.4° N
Would lose
6
Round 6Won18 countries · 4 lives left
ArgentinavsKuwait
Area: 2,780,400 vs 17,818 km² · Higher wins ↑
Conquered Kuwait.
Other category comparisons 3 other winning choices
All eight categories for Argentina against Kuwait
Category
Argentina
Kuwait
Result
Areakm² · Higher wins ↑ · Chosen
2,780,400
17,818
Would win
Populationpeople · Higher wins ↑
45,538,401
4,853,420
Would win
Wealth per personint’l $ · Higher wins ↑
30,246
53,083
Would lose
Densityper km² · Higher wins ↑
16.4
272.4
Would lose
Highest peakm · Higher wins ↑
6,962
300
Would win
Coastlinekm · Higher wins ↑
4,989
499
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
31.4° S
29.4° N
Would lose
7
Round 7Won19 countries · 4 lives left
Timor-LestevsBangladesh
Proximity to equator: 8.9° S vs 24.3° N from the equator · Closer wins ↓
Conquered Bangladesh.
Other category comparisons 3 other winning choices
All eight categories for Timor-Leste against Bangladesh
Category
Timor-Leste
Bangladesh
Result
Areakm² · Higher wins ↑
14,874
148,460
Would lose
Populationpeople · Higher wins ↑
1,384,286
171,466,990
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
9,155
Would lose
Densityper km² · Higher wins ↑
93.1
1,155.0
Would lose
Highest peakm · Higher wins ↑
2,963
1,060
Would win
Coastlinekm · Higher wins ↑
706
580
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.9° S
24.3° N
Would win
8
Round 8Won20 countries · 4 lives left
MauritiusvsFrance
Proximity to equator: 20.3° S vs 46.7° N from the equator · Closer wins ↓
Conquered France.
Other category comparisons 2 other winning choices
All eight categories for Mauritius against France
Category
Mauritius
France
Result
Areakm² · Higher wins ↑
2,040
551,500
Would lose
Populationpeople · Higher wins ↑
1,248,647
65,925,961
Would lose
Wealth per personint’l $ · Higher wins ↑
29,403
60,927
Would lose
Densityper km² · Higher wins ↑
612.1
119.5
Would win
Highest peakm · Higher wins ↑
828
4,810
Would lose
Coastlinekm · Higher wins ↑
177
3,427
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
20.3° S
46.7° N
Would win
9
Round 9Won21 countries · 4 lives left
South KoreavsIsrael
Population: 51,712,619 vs 9,849,000 people · Higher wins ↑
Conquered Israel.
Other category comparisons 5 other winning choices
All eight categories for South Korea against Israel
Category
South Korea
Israel
Result
Areakm² · Higher wins ↑
99,720
21,937
Would win
Populationpeople · Higher wins ↑ · Chosen
51,712,619
9,849,000
Would win
Wealth per personint’l $ · Higher wins ↑
57,430
55,301
Would win
Densityper km² · Higher wins ↑
518.6
449.0
Would win
Highest peakm · Higher wins ↑
1,950
2,224
Would lose
Coastlinekm · Higher wins ↑
2,413
273
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
36.3° N
30.9° N
Would lose
10
Round 10Won22 countries · 4 lives left
PalestinevsUruguay
Density: 830.5 vs 19.2 per km² · Higher wins ↑
Conquered Uruguay.
Other category comparisons 3 other winning choices
All eight categories for Palestine against Uruguay
Category
Palestine
Uruguay
Result
Areakm² · Higher wins ↑
6,220
176,215
Would lose
Populationpeople · Higher wins ↑
5,165,775
3,388,081
Would win
Wealth per personint’l $ · Higher wins ↑
6,179
34,546
Would lose
Densityper km² · Higher wins ↑ · Chosen
830.5
19.2
Would win
Highest peakm · Higher wins ↑
1,020
514
Would win
Coastlinekm · Higher wins ↑
40
660
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
32.9° S
Would win
11
Round 11Won23 countries · 4 lives left
TogovsNicaragua
Proximity to equator: 8.9° N vs 12.6° N from the equator · Closer wins ↓
Conquered Nicaragua.
Other category comparisons 2 other winning choices
All eight categories for Togo against Nicaragua
Category
Togo
Nicaragua
Result
Areakm² · Higher wins ↑
56,785
130,370
Would lose
Populationpeople · Higher wins ↑
8,223,850
6,823,613
Would win
Wealth per personint’l $ · Higher wins ↑
3,572
8,327
Would lose
Densityper km² · Higher wins ↑
144.8
52.3
Would win
Highest peakm · Higher wins ↑
986
2,085
Would lose
Coastlinekm · Higher wins ↑
56
910
Would lose
Flag colourscolours · Higher wins ↑
4
10
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.9° N
12.6° N
Would win
12
Round 12Won24 countries · 4 lives left
TanzaniavsLebanon
Population: 66,617,606 vs 5,773,493 people · Higher wins ↑
Conquered Lebanon.
Other category comparisons 5 other winning choices
All eight categories for Tanzania against Lebanon
Category
Tanzania
Lebanon
Result
Areakm² · Higher wins ↑
947,300
10,400
Would win
Populationpeople · Higher wins ↑ · Chosen
66,617,606
5,773,493
Would win
Wealth per personint’l $ · Higher wins ↑
4,022
12,585
Would lose
Densityper km² · Higher wins ↑
70.3
555.1
Would lose
Highest peakm · Higher wins ↑
5,895
3,088
Would win
Coastlinekm · Higher wins ↑
1,424
225
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
34.2° N
Would win
13
Round 13Won25 countries · 4 lives left
United KingdomvsMozambique
Population: 68,526,000 vs 33,635,160 people · Higher wins ↑
Conquered Mozambique.
Other category comparisons 3 other winning choices
All eight categories for United Kingdom against Mozambique
Category
United Kingdom
Mozambique
Result
Areakm² · Higher wins ↑
243,610
799,380
Would lose
Populationpeople · Higher wins ↑ · Chosen
68,526,000
33,635,160
Would win
Wealth per personint’l $ · Higher wins ↑
60,787
1,680
Would win
Densityper km² · Higher wins ↑
281.3
42.1
Would win
Highest peakm · Higher wins ↑
1,345
2,436
Would lose
Coastlinekm · Higher wins ↑
12,429
2,470
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
52.5° N
14.0° S
Would lose
14
Round 14Won26 countries · 4 lives left
SomaliavsBurkina Faso
Area: 637,657 vs 274,200 km² · Higher wins ↑
Conquered Burkina Faso.
Other category comparisons 3 other winning choices
All eight categories for Somalia against Burkina Faso
Category
Somalia
Burkina Faso
Result
Areakm² · Higher wins ↑ · Chosen
637,657
274,200
Would win
Populationpeople · Higher wins ↑
18,358,615
23,025,776
Would lose
Wealth per personint’l $ · Higher wins ↑
1,557
2,762
Would lose
Densityper km² · Higher wins ↑
28.8
84.0
Would lose
Highest peakm · Higher wins ↑
2,460
749
Would win
Coastlinekm · Higher wins ↑
3,025
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
2.6° N
12.8° N
Would win
15
Round 15Won27 countries · 4 lives left
LithuaniavsIndonesia
Wealth per person: 52,720 vs 15,428 int’l $ · Higher wins ↑
Conquered Indonesia.
Other category comparisons 1 other winning choice
All eight categories for Lithuania against Indonesia
Category
Lithuania
Indonesia
Result
Areakm² · Higher wins ↑
65,300
1,904,569
Would lose
Populationpeople · Higher wins ↑
2,871,585
281,190,067
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
52,720
15,428
Would win
Densityper km² · Higher wins ↑
44.0
147.6
Would lose
Highest peakm · Higher wins ↑
294
4,884
Would lose
Coastlinekm · Higher wins ↑
90
54,716
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
55.1° N
1.0° S
Would lose
16
Round 16Won28 countries · 4 lives left
Sierra LeonevsNamibia
Density: 117.9 vs 3.6 per km² · Higher wins ↑
Conquered Namibia.
Other category comparisons 2 other winning choices
All eight categories for Sierra Leone against Namibia
Category
Sierra Leone
Namibia
Result
Areakm² · Higher wins ↑
71,740
824,292
Would lose
Populationpeople · Higher wins ↑
8,460,512
2,963,095
Would win
Wealth per personint’l $ · Higher wins ↑
3,371
11,248
Would lose
Densityper km² · Higher wins ↑ · Chosen
117.9
3.6
Would win
Highest peakm · Higher wins ↑
1,948
2,573
Would lose
Coastlinekm · Higher wins ↑
402
1,572
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
8.7° N
20.6° S
Would win
17
Round 17Won29 countries · 4 lives left
Dominican RepublicvsPhilippines
Wealth per person: 25,861 vs 10,995 int’l $ · Higher wins ↑
Conquered Philippines.
Other category comparisons 2 other winning choices
All eight categories for Dominican Republic against Philippines
Category
Dominican Republic
Philippines
Result
Areakm² · Higher wins ↑
48,670
300,000
Would lose
Populationpeople · Higher wins ↑
11,331,265
114,891,199
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
25,861
10,995
Would win
Densityper km² · Higher wins ↑
232.8
383.0
Would lose
Highest peakm · Higher wins ↑
3,098
2,954
Would win
Coastlinekm · Higher wins ↑
1,288
36,289
Would lose
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.1° N
17.0° N
Would lose
18
Round 18Won30 countries · 4 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
19
Round 19Won31 countries · 4 lives left
ComorosvsChina
Proximity to equator: 11.7° S vs 32.5° N from the equator · Closer wins ↓
Conquered China.
Other category comparisons 2 other winning choices
All eight categories for Comoros against China
Category
Comoros
China
Result
Areakm² · Higher wins ↑
2,235
9,596,960
Would lose
Populationpeople · Higher wins ↑
850,387
1,410,710,000
Would lose
Wealth per personint’l $ · Higher wins ↑
3,897
25,200
Would lose
Densityper km² · Higher wins ↑
380.5
147.0
Would win
Highest peakm · Higher wins ↑
2,360
8,849
Would lose
Coastlinekm · Higher wins ↑
340
14,500
Would lose
Flag colourscolours · Higher wins ↑
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
11.7° S
32.5° N
Would win
20
Round 20Won32 countries · 4 lives left
AustriavsArmenia
Wealth per person: 74,261 vs 21,552 int’l $ · Higher wins ↑
Conquered Armenia.
Other category comparisons 3 other winning choices
All eight categories for Austria against Armenia
Category
Austria
Armenia
Result
Areakm² · Higher wins ↑
83,871
29,743
Would win
Populationpeople · Higher wins ↑
9,131,761
2,964,300
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
74,261
21,552
Would win
Densityper km² · Higher wins ↑
108.9
99.7
Would win
Highest peakm · Higher wins ↑
3,798
4,090
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓