A little knowledge. An empire of 118.

Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.

101. 101
     Round 101Won109 countries · 2 lives left

     GhanavsHonduras

     Population: 33,787,914 vs 10,644,851 people · Higher wins ↑

     Conquered Honduras.

     Other category comparisons 5 other winning choices

     All eight categories for Ghana against Honduras

     Category	Ghana	Honduras	Result
     Areakm² · Higher wins ↑	238,533	112,090	Would win
     Populationpeople · Higher wins ↑ · Chosen	33,787,914	10,644,851	Would win
     Wealth per personint’l $ · Higher wins ↑	7,563	7,184	Would win
     Densityper km² · Higher wins ↑	141.6	95.0	Would win
     Highest peakm · Higher wins ↑	885	2,870	Would lose
     Coastlinekm · Higher wins ↑	539	823	Would lose
     Flag colourscolours · Higher wins ↑	4	2	Would win
     Proximity to equatorfrom the equator · Closer wins ↓	7.0° N	14.7° N	Would win

102. 102
     Round 102Won110 countries · 2 lives left

     EswatinivsMalta

     Population: 1,230,506 vs 552,747 people · Higher wins ↑

     Conquered Malta.

     Other category comparisons 4 other winning choices

     All eight categories for Eswatini against Malta

     Category	Eswatini	Malta	Result
     Areakm² · Higher wins ↑	17,364	316	Would win
     Populationpeople · Higher wins ↑ · Chosen	1,230,506	552,747	Would win
     Wealth per personint’l $ · Higher wins ↑	11,309	67,101	Would lose
     Densityper km² · Higher wins ↑	70.9	1,749.2	Would lose
     Highest peakm · Higher wins ↑	1,862	253	Would win
     Coastlinekm · Higher wins ↑	0	196.8	Would lose
     Flag colourscolours · Higher wins ↑	6	3	Would win
     Proximity to equatorfrom the equator · Closer wins ↓	26.6° S	35.9° N	Would win

103. 103
     Round 103Won111 countries · 2 lives left

     DenmarkvsNicaragua

     Wealth per person: 77,425 vs 8,327 int’l $ · Higher wins ↑

     Conquered Nicaragua.

     Other category comparisons 2 other winning choices

     All eight categories for Denmark against Nicaragua

     Category	Denmark	Nicaragua	Result
     Areakm² · Higher wins ↑	43,094	130,370	Would lose
     Populationpeople · Higher wins ↑	5,946,952	6,823,613	Would lose
     Wealth per personint’l $ · Higher wins ↑ · Chosen	77,425	8,327	Would win
     Densityper km² · Higher wins ↑	138.0	52.3	Would win
     Highest peakm · Higher wins ↑	171	2,085	Would lose
     Coastlinekm · Higher wins ↑	7,314	910	Would win
     Flag colourscolours · Higher wins ↑	2	10	Would lose
     Proximity to equatorfrom the equator · Closer wins ↓	55.9° N	12.6° N	Would lose

104. 104
     Round 104Won112 countries · 2 lives left

     VietnamvsGabon

     Population: 100,352,192 vs 2,484,789 people · Higher wins ↑

     Conquered Gabon.

     Other category comparisons 4 other winning choices

     All eight categories for Vietnam against Gabon

     Category	Vietnam	Gabon	Result
     Areakm² · Higher wins ↑	331,210	267,667	Would win
     Populationpeople · Higher wins ↑ · Chosen	100,352,192	2,484,789	Would win
     Wealth per personint’l $ · Higher wins ↑	15,034	20,773	Would lose
     Densityper km² · Higher wins ↑	303.0	9.3	Would win
     Highest peakm · Higher wins ↑	3,144	1,050	Would win
     Coastlinekm · Higher wins ↑	3,444	885	Would win
     Flag colourscolours · Higher wins ↑	2	3	Would lose
     Proximity to equatorfrom the equator · Closer wins ↓	21.7° N	0.6° S	Would lose

105. 105
     Round 105Won113 countries · 2 lives left

     ThailandvsTürkiye

     Density: 139.7 vs 108.9 per km² · Higher wins ↑

     Conquered Türkiye.

     Other category comparisons 2 other winning choices

     All eight categories for Thailand against Türkiye

     Category	Thailand	Türkiye	Result
     Areakm² · Higher wins ↑	513,120	783,562	Would lose
     Populationpeople · Higher wins ↑	71,702,435	85,325,965	Would lose
     Wealth per personint’l $ · Higher wins ↑	23,598	43,196	Would lose
     Densityper km² · Higher wins ↑ · Chosen	139.7	108.9	Would win
     Highest peakm · Higher wins ↑	2,565	5,137	Would lose
     Coastlinekm · Higher wins ↑	3,219	7,200	Would lose
     Flag colourscolours · Higher wins ↑	3	2	Would win
     Proximity to equatorfrom the equator · Closer wins ↓	15.5° N	39.1° N	Would win

106. 106
     Round 106Won114 countries · 2 lives left

     MexicovsLibya

     Population: 129,739,759 vs 7,305,659 people · Higher wins ↑

     Conquered Libya.

     Other category comparisons 7 other winning choices

     All eight categories for Mexico against Libya

     Category	Mexico	Libya	Result
     Areakm² · Higher wins ↑	1,964,375	1,759,540	Would win
     Populationpeople · Higher wins ↑ · Chosen	129,739,759	7,305,659	Would win
     Wealth per personint’l $ · Higher wins ↑	25,188	13,858	Would win
     Densityper km² · Higher wins ↑	66.0	4.2	Would win
     Highest peakm · Higher wins ↑	5,636	2,267	Would win
     Coastlinekm · Higher wins ↑	9,330	1,770	Would win
     Flag colourscolours · Higher wins ↑	11	4	Would win
     Proximity to equatorfrom the equator · Closer wins ↓	23.5° N	26.1° N	Would win

107. 107
     Round 107Won115 countries · 2 lives left

     BangladeshvsEl Salvador

     Population: 171,466,990 vs 6,309,624 people · Higher wins ↑

     Conquered El Salvador.

     Other category comparisons 3 other winning choices

     All eight categories for Bangladesh against El Salvador

     Category	Bangladesh	El Salvador	Result
     Areakm² · Higher wins ↑	148,460	21,041	Would win
     Populationpeople · Higher wins ↑ · Chosen	171,466,990	6,309,624	Would win
     Wealth per personint’l $ · Higher wins ↑	9,155	12,667	Would lose
     Densityper km² · Higher wins ↑	1,155.0	299.9	Would win
     Highest peakm · Higher wins ↑	1,060	2,730	Would lose
     Coastlinekm · Higher wins ↑	580	307	Would win
     Flag colourscolours · Higher wins ↑	2	9	Would lose
     Proximity to equatorfrom the equator · Closer wins ↓	24.3° N	13.9° N	Would lose

108. 108
     Round 108Won116 countries · 2 lives left

     South AfricavsIndonesia

     Flag colours: 6 vs 2 colours · Higher wins ↑

     Conquered Indonesia.

     Other category comparisons 0 other winning choices

     All eight categories for South Africa against Indonesia

     Category	South Africa	Indonesia	Result
     Areakm² · Higher wins ↑	1,219,090	1,904,569	Would lose
     Populationpeople · Higher wins ↑	63,212,384	281,190,067	Would lose
     Wealth per personint’l $ · Higher wins ↑	15,212	15,428	Would lose
     Densityper km² · Higher wins ↑	51.9	147.6	Would lose
     Highest peakm · Higher wins ↑	3,450	4,884	Would lose
     Coastlinekm · Higher wins ↑	2,798	54,716	Would lose
     Flag colourscolours · Higher wins ↑ · Chosen	6	2	Would win
     Proximity to equatorfrom the equator · Closer wins ↓	30.2° S	1.0° S	Would lose

109. 109
     Round 109Won117 countries · 2 lives left

     JapanvsUkraine

     Population: 124,516,650 vs 37,732,836 people · Higher wins ↑

     Conquered Ukraine.

     Other category comparisons 5 other winning choices

     All eight categories for Japan against Ukraine

     Category	Japan	Ukraine	Result
     Areakm² · Higher wins ↑	377,915	603,550	Would lose
     Populationpeople · Higher wins ↑ · Chosen	124,516,650	37,732,836	Would win
     Wealth per personint’l $ · Higher wins ↑	52,726	17,680	Would win
     Densityper km² · Higher wins ↑	329.5	62.5	Would win
     Highest peakm · Higher wins ↑	3,776	2,061	Would win
     Coastlinekm · Higher wins ↑	29,751	2,782	Would win
     Flag colourscolours · Higher wins ↑	2	2	Would tie
     Proximity to equatorfrom the equator · Closer wins ↓	36.7° N	49.6° N	Would win

110. 110
     Round 110Lost116 countries · 1 life left

     MoldovavsUnited Arab Emirates

     Highest peak: 430 vs 1,905 m · Higher wins ↑

     Returned to the world: Moldova.

     Other category comparisons 1 other winning choice

     All eight categories for Moldova against United Arab Emirates

     Category	Moldova	United Arab Emirates	Result
     Areakm² · Higher wins ↑	33,851	83,600	Would lose
     Populationpeople · Higher wins ↑	2,457,783	10,483,751	Would lose
     Wealth per personint’l $ · Higher wins ↑	17,751	78,020	Would lose
     Densityper km² · Higher wins ↑	72.6	125.4	Would lose
     Highest peakm · Higher wins ↑ · Chosen	430	1,905	Would lose
     Coastlinekm · Higher wins ↑	0	1,318	Would lose
     Flag colourscolours · Higher wins ↑	9	4	Would win
     Proximity to equatorfrom the equator · Closer wins ↓	47.5° N	23.5° N	Would lose

111. 111
     Round 111Won117 countries · 1 life left

     TanzaniavsMauritania

     Population: 66,617,606 vs 5,022,441 people · Higher wins ↑

     Conquered Mauritania.

     Other category comparisons 5 other winning choices

     All eight categories for Tanzania against Mauritania

     Category	Tanzania	Mauritania	Result
     Areakm² · Higher wins ↑	947,300	1,030,700	Would lose
     Populationpeople · Higher wins ↑ · Chosen	66,617,606	5,022,441	Would win
     Wealth per personint’l $ · Higher wins ↑	4,022	6,972	Would lose
     Densityper km² · Higher wins ↑	70.3	4.9	Would win
     Highest peakm · Higher wins ↑	5,895	915	Would win
     Coastlinekm · Higher wins ↑	1,424	754	Would win
     Flag colourscolours · Higher wins ↑	4	3	Would win
     Proximity to equatorfrom the equator · Closer wins ↓	5.5° S	19.4° N	Would win

112. 112
     Round 112Won118 countries · 1 life left

     ArmeniavsSlovakia

     Highest peak: 4,090 vs 2,655 m · Higher wins ↑

     Conquered Slovakia.

     Other category comparisons 1 other winning choice

     All eight categories for Armenia against Slovakia

     Category	Armenia	Slovakia	Result
     Areakm² · Higher wins ↑	29,743	49,035	Would lose
     Populationpeople · Higher wins ↑	2,964,300	5,426,740	Would lose
     Wealth per personint’l $ · Higher wins ↑	21,552	45,865	Would lose
     Densityper km² · Higher wins ↑	99.7	110.7	Would lose
     Highest peakm · Higher wins ↑ · Chosen	4,090	2,655	Would win
     Coastlinekm · Higher wins ↑	0	0	Would tie
     Flag colourscolours · Higher wins ↑	3	3	Would tie
     Proximity to equatorfrom the equator · Closer wins ↓	40.6° N	48.7° N	Would win

113. 113
     Round 113Won119 countries · 1 life left

     ChadvsUnited Kingdom

     Proximity to equator: 17.3° N vs 52.5° N from the equator · Closer wins ↓

     Conquered United Kingdom.

     Other category comparisons 2 other winning choices

     All eight categories for Chad against United Kingdom

     Category	Chad	United Kingdom	Result
     Areakm² · Higher wins ↑	1,284,000	243,610	Would win
     Populationpeople · Higher wins ↑	19,319,064	68,526,000	Would lose
     Wealth per personint’l $ · Higher wins ↑	2,703	60,787	Would lose
     Densityper km² · Higher wins ↑	15.0	281.3	Would lose
     Highest peakm · Higher wins ↑	3,445	1,345	Would win
     Coastlinekm · Higher wins ↑	0	12,429	Would lose
     Flag colourscolours · Higher wins ↑	3	3	Would tie
     Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	17.3° N	52.5° N	Would win

114. 114
     Round 114Lost118 countries · 0 lives left

     Solomon IslandsvsCameroon

     Density: 27.7 vs 59.7 per km² · Higher wins ↑

     Returned to the world: Solomon Islands.

     Other category comparisons 2 other winning choices

     All eight categories for Solomon Islands against Cameroon

     Category	Solomon Islands	Cameroon	Result
     Areakm² · Higher wins ↑	28,896	475,440	Would lose
     Populationpeople · Higher wins ↑	800,005	28,372,687	Would lose
     Wealth per personint’l $ · Higher wins ↑	2,599	5,415	Would lose
     Densityper km² · Higher wins ↑ · Chosen	27.7	59.7	Would lose
     Highest peakm · Higher wins ↑	2,335	4,045	Would lose
     Coastlinekm · Higher wins ↑	5,313	402	Would win
     Flag colourscolours · Higher wins ↑	4	3	Would win
     Proximity to equatorfrom the equator · Closer wins ↓	9.6° S	4.5° N	Would lose