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Untimed expedition · Data edition 01051846d672
163Wins
2Losses
1Ties
Explore the final empire · 174 countries
No countries match your search.
The path through the world
One choice at a time.
166 rounds
Where it began · 12 countries
Georgia · Ethiopia · Ecuador · Côte d’Ivoire · North Korea · Rwanda · Canada · Turkmenistan · Cambodia · Zambia · Brunei · Belgium
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
121
Round 121Won131 countries · 3 lives left
LaosvsIceland
Population: 7,664,993 vs 385,663 people · Higher wins ↑
Conquered Iceland.
Other category comparisons 4 other winning choices
All eight categories for Laos against Iceland
Category
Laos
Iceland
Result
Areakm² · Higher wins ↑
236,800
103,000
Would win
Populationpeople · Higher wins ↑ · Chosen
7,664,993
385,663
Would win
Wealth per personint’l $ · Higher wins ↑
9,299
82,257
Would lose
Densityper km² · Higher wins ↑
32.4
3.7
Would win
Highest peakm · Higher wins ↑
2,817
2,110
Would win
Coastlinekm · Higher wins ↑
0
4,970
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
19.6° N
64.7° N
Would win
122
Round 122Won132 countries · 3 lives left
VenezuelavsMalta
Population: 28,300,854 vs 552,747 people · Higher wins ↑
Conquered Malta.
Other category comparisons 5 other winning choices
All eight categories for Venezuela against Malta
Category
Venezuela
Malta
Result
Areakm² · Higher wins ↑
912,050
316
Would win
Populationpeople · Higher wins ↑ · Chosen
28,300,854
552,747
Would win
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
Unavailable
67,101
Unavailable
Densityper km² · Higher wins ↑
31.0
1,749.2
Would lose
Highest peakm · Higher wins ↑
4,978
253
Would win
Coastlinekm · Higher wins ↑
2,800
196.8
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.2° N
35.9° N
Would win
123
Round 123Won133 countries · 3 lives left
RwandavsNigeria
Density: 529.8 vs 246.7 per km² · Higher wins ↑
Conquered Nigeria.
Other category comparisons 3 other winning choices
All eight categories for Rwanda against Nigeria
Category
Rwanda
Nigeria
Result
Areakm² · Higher wins ↑
26,338
923,768
Would lose
Populationpeople · Higher wins ↑
13,954,471
227,882,945
Would lose
Wealth per personint’l $ · Higher wins ↑
3,519
8,712
Would lose
Densityper km² · Higher wins ↑ · Chosen
529.8
246.7
Would win
Highest peakm · Higher wins ↑
4,519
2,419
Would win
Coastlinekm · Higher wins ↑
0
853
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
1.8° S
9.4° N
Would win
124
Round 124Won134 countries · 3 lives left
Solomon IslandsvsBurundi
Coastline: 5,313 vs 0 km · Higher wins ↑
Conquered Burundi.
Other category comparisons 3 other winning choices
All eight categories for Solomon Islands against Burundi
Category
Solomon Islands
Burundi
Result
Areakm² · Higher wins ↑
28,896
27,830
Would win
Populationpeople · Higher wins ↑
800,005
13,689,450
Would lose
Wealth per personint’l $ · Higher wins ↑
2,599
1,147
Would win
Densityper km² · Higher wins ↑
27.7
491.9
Would lose
Highest peakm · Higher wins ↑
2,335
2,685
Would lose
Coastlinekm · Higher wins ↑ · Chosen
5,313
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
9.6° S
3.4° S
Would lose
125
Round 125Won135 countries · 3 lives left
BangladeshvsBenin
Population: 171,466,990 vs 14,111,034 people · Higher wins ↑
Conquered Benin.
Other category comparisons 5 other winning choices
All eight categories for Bangladesh against Benin
Category
Bangladesh
Benin
Result
Areakm² · Higher wins ↑
148,460
112,622
Would win
Populationpeople · Higher wins ↑ · Chosen
171,466,990
14,111,034
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
4,133
Would win
Densityper km² · Higher wins ↑
1,155.0
125.3
Would win
Highest peakm · Higher wins ↑
1,060
675
Would win
Coastlinekm · Higher wins ↑
580
121
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
10.4° N
Would lose
126
Round 126Won136 countries · 3 lives left
TunisiavsColombia
Density: 74.6 vs 45.9 per km² · Higher wins ↑
Conquered Colombia.
Other category comparisons 0 other winning choices
All eight categories for Tunisia against Colombia
Category
Tunisia
Colombia
Result
Areakm² · Higher wins ↑
163,610
1,138,910
Would lose
Populationpeople · Higher wins ↑
12,200,431
52,321,152
Would lose
Wealth per personint’l $ · Higher wins ↑
14,052
21,282
Would lose
Densityper km² · Higher wins ↑ · Chosen
74.6
45.9
Would win
Highest peakm · Higher wins ↑
1,544
5,730
Would lose
Coastlinekm · Higher wins ↑
1,148
3,208
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
35.3° N
3.4° N
Would lose
127
Round 127Won137 countries · 3 lives left
MalawivsGuinea
Highest peak: 3,002 vs 1,752 m · Higher wins ↑
Conquered Guinea.
Other category comparisons 2 other winning choices
All eight categories for Malawi against Guinea
Category
Malawi
Guinea
Result
Areakm² · Higher wins ↑
118,484
245,857
Would lose
Populationpeople · Higher wins ↑
21,104,482
14,405,468
Would win
Wealth per personint’l $ · Higher wins ↑
1,832
4,337
Would lose
Densityper km² · Higher wins ↑
178.1
58.6
Would win
Highest peakm · Higher wins ↑ · Chosen
3,002
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 ↓
13.4° S
10.7° N
Would lose
128
Round 128Won138 countries · 3 lives left
ItalyvsLiberia
Wealth per person: 60,350 vs 1,796 int’l $ · Higher wins ↑
Conquered Liberia.
Other category comparisons 5 other winning choices
All eight categories for Italy against Liberia
Category
Italy
Liberia
Result
Areakm² · Higher wins ↑
301,340
111,369
Would win
Populationpeople · Higher wins ↑
58,984,216
5,493,031
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
60,350
1,796
Would win
Densityper km² · Higher wins ↑
195.7
49.3
Would win
Highest peakm · Higher wins ↑
4,748
1,447
Would win
Coastlinekm · Higher wins ↑
7,600
579
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
45.1° N
7.0° N
Would lose
129
Round 129Won139 countries · 3 lives left
Guinea-BissauvsQatar
Proximity to equator: 12.1° N vs 25.1° N from the equator · Closer wins ↓
Conquered Qatar.
Other category comparisons 3 other winning choices
All eight categories for Guinea-Bissau against Qatar
Category
Guinea-Bissau
Qatar
Result
Areakm² · Higher wins ↑
36,125
11,586
Would win
Populationpeople · Higher wins ↑
2,153,339
2,656,032
Would lose
Wealth per personint’l $ · Higher wins ↑
2,956
129,025
Would lose
Densityper km² · Higher wins ↑
59.6
229.2
Would lose
Highest peakm · Higher wins ↑
277
103
Would win
Coastlinekm · Higher wins ↑
350
563
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.1° N
25.1° N
Would win
130
Round 130Won140 countries · 3 lives left
TürkiyevsMozambique
Population: 85,325,965 vs 33,635,160 people · Higher wins ↑
Conquered Mozambique.
Other category comparisons 4 other winning choices
All eight categories for Türkiye against Mozambique
Category
Türkiye
Mozambique
Result
Areakm² · Higher wins ↑
783,562
799,380
Would lose
Populationpeople · Higher wins ↑ · Chosen
85,325,965
33,635,160
Would win
Wealth per personint’l $ · Higher wins ↑
43,196
1,680
Would win
Densityper km² · Higher wins ↑
108.9
42.1
Would win
Highest peakm · Higher wins ↑
5,137
2,436
Would win
Coastlinekm · Higher wins ↑
7,200
2,470
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
14.0° S
Would lose
131
Round 131Won141 countries · 3 lives left
LebanonvsParaguay
Density: 555.1 vs 16.8 per km² · Higher wins ↑
Conquered Paraguay.
Other category comparisons 2 other winning choices
All eight categories for Lebanon against Paraguay
Category
Lebanon
Paraguay
Result
Areakm² · Higher wins ↑
10,400
406,752
Would lose
Populationpeople · Higher wins ↑
5,773,493
6,844,146
Would lose
Wealth per personint’l $ · Higher wins ↑
12,585
17,585
Would lose
Densityper km² · Higher wins ↑ · Chosen
555.1
16.8
Would win
Highest peakm · Higher wins ↑
3,088
842
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
21.6° S
Would lose
132
Round 132Won142 countries · 3 lives left
MauritaniavsKazakhstan
Coastline: 754 vs 0 km · Higher wins ↑
Conquered Kazakhstan.
Other category comparisons 2 other winning choices
All eight categories for Mauritania against Kazakhstan
Category
Mauritania
Kazakhstan
Result
Areakm² · Higher wins ↑
1,030,700
2,724,900
Would lose
Populationpeople · Higher wins ↑
5,022,441
20,330,104
Would lose
Wealth per personint’l $ · Higher wins ↑
6,972
38,547
Would lose
Densityper km² · Higher wins ↑
4.9
7.5
Would lose
Highest peakm · Higher wins ↑
915
7,010
Would lose
Coastlinekm · Higher wins ↑ · Chosen
754
0
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.4° N
48.5° N
Would win
133
Round 133Won143 countries · 3 lives left
CanadavsMali
Area: 9,984,670 vs 1,240,192 km² · Higher wins ↑
Conquered Mali.
Other category comparisons 4 other winning choices
All eight categories for Canada against Mali
Category
Canada
Mali
Result
Areakm² · Higher wins ↑ · Chosen
9,984,670
1,240,192
Would win
Populationpeople · Higher wins ↑
40,049,088
23,769,127
Would win
Wealth per personint’l $ · Higher wins ↑
64,962
3,178
Would win
Densityper km² · Higher wins ↑
4.0
19.2
Would lose
Highest peakm · Higher wins ↑
5,959
1,155
Would win
Coastlinekm · Higher wins ↑
202,080
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
58.8° N
18.6° N
Would lose
134
Round 134Won144 countries · 3 lives left
ChilevsPoland
Coastline: 6,435 vs 440 km · Higher wins ↑
Conquered Poland.
Other category comparisons 4 other winning choices
All eight categories for Chile against Poland
Category
Chile
Poland
Result
Areakm² · Higher wins ↑
756,102
312,685
Would win
Populationpeople · Higher wins ↑
19,658,835
36,687,353
Would lose
Wealth per personint’l $ · Higher wins ↑
33,174
48,473
Would lose
Densityper km² · Higher wins ↑
26.0
117.3
Would lose
Highest peakm · Higher wins ↑
6,893
2,499
Would win
Coastlinekm · Higher wins ↑ · Chosen
6,435
440
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.4° S
51.9° N
Would win
135
Round 135Won145 countries · 3 lives left
CroatiavsSouth Sudan
Density: 68.2 vs 17.8 per km² · 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 ↑ · Chosen
68.2
17.8
Would win
Highest peakm · Higher wins ↑
1,831
3,187
Would lose
Coastlinekm · Higher wins ↑
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
136
Round 136Won146 countries · 3 lives left
GhanavsIndia
Proximity to equator: 7.0° N vs 22.4° N from the equator · Closer wins ↓
Conquered India.
Other category comparisons 0 other winning choices
All eight categories for Ghana against India
Category
Ghana
India
Result
Areakm² · Higher wins ↑
238,533
3,287,263
Would lose
Populationpeople · Higher wins ↑
33,787,914
1,438,069,596
Would lose
Wealth per personint’l $ · Higher wins ↑
7,563
9,853
Would lose
Densityper km² · Higher wins ↑
141.6
437.5
Would lose
Highest peakm · Higher wins ↑
885
8,586
Would lose
Coastlinekm · Higher wins ↑
539
7,000
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
22.4° N
Would win
137
Round 137Won147 countries · 3 lives left
ThailandvsLesotho
Population: 71,702,435 vs 2,311,472 people · Higher wins ↑
Conquered Lesotho.
Other category comparisons 5 other winning choices
All eight categories for Thailand against Lesotho
Category
Thailand
Lesotho
Result
Areakm² · Higher wins ↑
513,120
30,355
Would win
Populationpeople · Higher wins ↑ · Chosen
71,702,435
2,311,472
Would win
Wealth per personint’l $ · Higher wins ↑
23,598
2,880
Would win
Densityper km² · Higher wins ↑
139.7
76.1
Would win
Highest peakm · Higher wins ↑
2,565
3,482
Would lose
Coastlinekm · Higher wins ↑
3,219
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
15.5° N
29.4° S
Would win
138
Round 138Won148 countries · 3 lives left
KenyavsRepublic of the Congo
Population: 55,339,003 vs 6,182,885 people · Higher wins ↑
Conquered Republic of the Congo.
Other category comparisons 5 other winning choices
All eight categories for Kenya against Republic of the Congo
Category
Kenya
Republic of the Congo
Result
Areakm² · Higher wins ↑
580,367
342,000
Would win
Populationpeople · Higher wins ↑ · Chosen
55,339,003
6,182,885
Would win
Wealth per personint’l $ · Higher wins ↑
6,322
6,856
Would lose
Densityper km² · Higher wins ↑
95.4
18.1
Would win
Highest peakm · Higher wins ↑
5,199
1,020
Would win
Coastlinekm · Higher wins ↑
536
169
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
0.4° N
0.1° N
Would lose
139
Round 139Won149 countries · 3 lives left
BoliviavsEstonia
Highest peak: 6,542 vs 318 m · Higher wins ↑
Conquered Estonia.
Other category comparisons 4 other winning choices
All eight categories for Bolivia against Estonia
Category
Bolivia
Estonia
Result
Areakm² · Higher wins ↑
1,098,581
45,228
Would win
Populationpeople · Higher wins ↑
12,244,159
1,370,286
Would win
Wealth per personint’l $ · Higher wins ↑
12,903
48,848
Would lose
Densityper km² · Higher wins ↑
11.1
30.3
Would lose
Highest peakm · Higher wins ↑ · Chosen
6,542
318
Would win
Coastlinekm · Higher wins ↑
0
3,794
Would lose
Flag colourscolours · Higher wins ↑
9
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.7° S
58.6° N
Would win
140
Round 140Won150 countries · 3 lives left
LibyavsDjibouti
Area: 1,759,540 vs 23,200 km² · Higher wins ↑
Conquered Djibouti.
Other category comparisons 4 other winning choices
All eight categories for Libya against Djibouti
Category
Libya
Djibouti
Result
Areakm² · Higher wins ↑ · Chosen
1,759,540
23,200
Would win
Populationpeople · Higher wins ↑
7,305,659
1,152,944
Would win
Wealth per personint’l $ · Higher wins ↑
13,858
7,232
Would win
Densityper km² · Higher wins ↑
4.2
49.7
Would lose
Highest peakm · Higher wins ↑
2,267
2,021
Would win
Coastlinekm · Higher wins ↑
1,770
314
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
Laosvs
Iceland
Venezuela
Malta
Rwanda
Nigeria
Solomon Islands
Burundi
Bangladesh
Benin
Tunisia
Colombia
Malawi
Guinea
Italy
Liberia
Guinea-Bissau
Qatar
Türkiye
Mozambique
Lebanon
Paraguay
Mauritania
Kazakhstan
Canada
Mali
Chile
Poland
Croatia
South Sudan
Ghana
India
Thailand
Lesotho
Kenya
Republic of the Congo
Bolivia
Estonia
Libya
Djibouti