Victoria 3 Reference
Menu
World

Locations

675 locations222 state traits
Click a column header to sort
State Region 1836 owner Population Arable Arable types CoalFishingGoldIronLeadLoggingSulfurWhaling Gold?Oil?Rubber? Traits
Hail · coastal Arabia Nejd +1 118,736 5 Livestock —2—————— ——— Arabian Desert
Hedjaz · coastal Arabia Hedjaz 463,100 20 Livestock —5————28— ——— Tihamah
Nejd · coastal Arabia Nejd 122,996 10 Livestock —4—————— —60— Arabian Desert
Oman · coastal Arabia Oman 234,000 10 Livestock , Coffee , Tobacco —10—————— —30— —
Trucial Coast · coastal Arabia Trucial States +2 94,250 5 Livestock , Tobacco —4—————— —80— —
Yemen · coastal Arabia Azal +4 1,165,600 70 Wheat , Livestock , Coffee , Tobacco —9——12——— —30— Natural Harbors, Yemeni Highlands
Alabama · coastal Atlantic Coast America 600,480 170 Maize , Livestock , Cotton , Tobacco , Sugar 283—302417—— —20— American Chestnut Forests
Bermuda · coastal Atlantic Coast Great Britain 27,200 10 Livestock , Cotton , Tobacco , Sugar —2—————— ——— —
Connecticut · coastal Atlantic Coast America 199,228 15 Wheat , Livestock , Tobacco , Vineyards —5—15—6—3 ——— New England Whaling, American Chestnut Forests
Delaware · coastal Atlantic Coast America 96,524 15 Maize , Livestock , Cotton , Tobacco , Vineyards —5———4—— ——— —
District of Columbia · coastal Atlantic Coast America 121,625 3 Maize , Livestock , Cotton , Tobacco —1—————— ——— —
Florida · coastal Atlantic Coast America +1 92,996 100 Maize , Livestock , Cotton , Sugar , Dye —15———2342— —30— Floridian Wetlands, Bone Valley
Georgia · coastal Atlantic Coast America 598,574 180 Rice , Maize , Livestock , Cotton , Tobacco , Sugar , Dye —6———20—— ——— —
Illinois Atlantic Coast America 456,400 270 Maize , Livestock , Tobacco , Vineyards 60———9022—— ——— Mississippi River
Indiana Atlantic Coast America 663,508 220 Maize , Livestock , Vineyards , Tobacco 48————28—— ——— Ohio River
Kentucky Atlantic Coast America 744,376 180 Maize , Livestock , Cotton , Tobacco , Vineyards 140——33—17—— ——— Appalachian Coalfields, Ohio River, American Chestnut Forests
Maine · coastal Atlantic Coast America 397,228 20 Wheat , Livestock —8———35—4 ——— New England Whaling, American Chestnut Forests
Maritimes · coastal Atlantic Coast Nova Scotia +1 322,432 40 Livestock 448——5430—— ——— Halifax Harbor
Maryland · coastal Atlantic Coast America 359,005 25 Maize , Livestock , Cotton , Tobacco , Vineyards —9———6—— ——— —
Massachusetts · coastal Atlantic Coast America 847,280 20 Wheat , Livestock , Tobacco , Vineyards 5610—36—14—8 ——— New England Whaling, American Chestnut Forests, Natural Harbors
Michigan Atlantic Coast America 152,000 180 Maize , Livestock , Vineyards ———60—5032— ——— Great Lakes
Mississippi · coastal Atlantic Coast America 260,804 160 Maize , Livestock , Cotton , Tobacco , Sugar 405———14—— —30— Mississippi River, American Chestnut Forests
New Hampshire · coastal Atlantic Coast America 279,300 15 Wheat , Livestock , Tobacco —2———14—2 ——— New England Whaling, American Chestnut Forests
New Jersey · coastal Atlantic Coast America 347,192 40 Maize , Livestock , Cotton , Tobacco , Vineyards —10—45—6—— ——— Newark Harbor
New York · coastal Atlantic Coast America 2,221,000 120 Wheat , Livestock , Vineyards , Tobacco —6—45—20—5 ——— Niagara Falls, American Chestnut Forests, New York Harbor
North Carolina · coastal Atlantic Coast America 740,144 180 Rice , Maize , Livestock , Cotton , Tobacco , Vineyards 326———15—— ——— Appalachian Coalfields
Ohio Atlantic Coast America 1,344,212 180 Maize , Livestock , Tobacco , Vineyards 60———3630—— —30— Ohio River
Pennsylvania Atlantic Coast America 1,500,300 180 Maize , Livestock , Tobacco , Vineyards 120——57—23—— —50— Ohio River, Appalachian Coalfields, American Chestnut Forests
Rhode Island · coastal Atlantic Coast America 104,820 10 Wheat , Livestock , Tobacco , Vineyards —3———2—2 ——— New England Whaling, American Chestnut Forests
South Carolina · coastal Atlantic Coast America 588,588 100 Rice , Maize , Livestock , Cotton , Tobacco , Dye —5———11—— ——— —
Tennessee Atlantic Coast America 772,128 180 Maize , Livestock , Cotton , Tobacco ———30—17—— ——— Mississippi River, American Chestnut Forests
Vermont Atlantic Coast America 282,848 25 Wheat , Livestock , Tobacco ———18—14—— ——— American Chestnut Forests
Virginia · coastal Atlantic Coast America 818,796 180 Maize , Livestock , Cotton , Tobacco , Vineyards 608—30—17—— ——— Appalachian Coalfields, American Chestnut Forests
West Virginia Atlantic Coast America 208,805 50 Maize , Livestock , Cotton , Tobacco , Sugar , Vineyards 80——24—17—— ——— Appalachian Coalfields, American Chestnut Forests
Wisconsin Atlantic Coast America 36,004 180 Maize , Livestock , Tobacco ———24—3532— ——— Great Lakes
Albania · coastal Balkans Turkey 1,263,208 50 Wheat , Livestock , Cotton , Tobacco , Vineyards —8—24—6—— —20— Terra Rossa
Attica · coastal Balkans Greece 637,592 25 Wheat , Livestock , Cotton , Tobacco , Vineyards —8——21732— ——— Saronic Gulf
Banat Balkans Hungary 1,189,660 70 Wheat , Livestock , Vineyards —————9—— ——— Pannonian Plain, Danube River
Bessarabia · coastal Balkans Russia 544,458 50 Wheat , Livestock , Cotton , Vineyards —9———6—— ——— —
Bosnia Balkans Turkey 864,500 40 Wheat , Livestock , Cotton , Tobacco , Vineyards ———483914—— ——— —
Bukovina Balkans Austria 372,410 100 Wheat , Livestock , Vineyards 3——4—7—— ——— —
Bulgaria · coastal Balkans Turkey 874,408 35 Wheat , Livestock , Cotton , Vineyards —2———14—— ——— Danube River
Crete · coastal Balkans Egypt 139,992 8 Wheat , Livestock , Cotton , Tobacco , Vineyards —5———2—— ——— —
Croatia · coastal Balkans Croatia 827,992 35 Wheat , Livestock , Vineyards 605———11—— ——— Drava River, Terra Rossa
Dalmatia · coastal Balkans Austria 397,800 20 Wheat , Livestock , Vineyards —13———4—— ——— Krka Falls, Terra Rossa
Dobrudja · coastal Balkans Turkey +1 253,608 10 Wheat , Livestock , Cotton , Tobacco , Vineyards —7———11—— ——— Danube River
Eastern Serbia Balkans Serbia +1 535,757 45 Wheat , Livestock , Vineyards 30———1210—— ——— Danube River
Eastern Thrace · coastal Balkans Turkey 1,342,988 30 Wheat , Livestock , Cotton , Silk , Tobacco , Opium , Vineyards —10—18—4—— ——— The Bosporus
Great Hungarian Plain Balkans Hungary 1,198,988 110 Wheat , Livestock , Vineyards 20——30—6—— ——— Danube River, Pannonian Plain
Ionian Islands · coastal Balkans Ionian Islands 188,420 10 Wheat , Livestock , Cotton , Tobacco , Vineyards —5—————— ——— —
Kosovo Balkans Turkey 308,893 45 Wheat , Livestock , Vineyards 10———244—— ——— —
Macedonia · coastal Balkans Turkey 446,104 20 Wheat , Livestock , Cotton , Tobacco , Vineyards —3———9—— ——— —
Moldavia Balkans Moldavia 1,358,409 100 Wheat , Livestock , Silk , Cotton , Vineyards ———26—8—— —50— —
Montenegro · coastal Balkans Turkey +2 314,120 38 Wheat , Livestock , Vineyards 5015———15—— ——— Terra Rossa
Northern Thrace · coastal Balkans Turkey 853,608 30 Wheat , Livestock , Cotton , Tobacco , Vineyards —6—33—17—— ——— —
Northern Transylvania Balkans Transylvania 1,015,808 50 Wheat , Livestock , Vineyards 48——63—13—— ——— —
Partium Balkans Hungary 1,524,492 80 Wheat , Livestock , Vineyards —————11—— ——— Pannonian Plain
Peloponnese · coastal Balkans Greece 221,996 10 Wheat , Livestock , Cotton , Tobacco , Vineyards —10—21—5—— ——— —
Ruthenia Balkans Hungary 342,154 70 Wheat , Livestock , Vineyards 92———3315—— ——— —
Skopia Balkans Turkey 736,892 30 Wheat , Livestock , Cotton , Tobacco , Vineyards ———36—16—— ——— —
Slavonia Balkans Croatia 366,228 20 Wheat , Livestock , Vineyards —————14—— ——— Danube River
Slovakia Balkans Hungary 2,046,586 105 Wheat , Livestock , Vineyards 44——63—8—— ——— Danube River
Slovenia Balkans Austria 485,788 25 Wheat , Livestock , Vineyards 60————11—— ——— Drava River
Southern Transylvania Balkans Transylvania 1,046,596 50 Wheat , Livestock , Silk , Vineyards ———454517—— ——— —
Thessaly · coastal Balkans Turkey 1,131,904 50 Wheat , Livestock , Cotton , Tobacco , Vineyards —5———11—— ——— —
Transdanubia Balkans Hungary 2,356,492 125 Wheat , Livestock , Vineyards 84————7—— ——— Danube River, Pannonian Plain
Vojvodina Balkans Hungary 761,396 50 Wheat , Livestock , Vineyards —————4—— —20— Danube River, Pannonian Plain
Wallachia Balkans Wallachia 2,227,865 85 Wheat , Livestock , Silk , Cotton , Vineyards 68——21—815— —80— Danube River
West Aegean Islands · coastal Balkans Greece 80,404 5 Wheat , Livestock , Cotton , Tobacco , Vineyards —4—————— ——— Isle of Syros
Western Serbia Balkans Serbia +1 512,254 35 Wheat , Livestock , Vineyards ———24—13—— ——— Danube River
Western Thrace · coastal Balkans Turkey 732,608 20 Wheat , Livestock , Cotton , Silk , Tobacco , Vineyards —10—27—5—— ——— —
Amazonas Brazil Grão-Pará +2 77,255 40 Maize , Livestock , Tobacco , Sugar , Banana —————40—— —2025 Amazon Rainforest
Bahia · coastal Brazil Brazil 731,500 80 Maize , Livestock , Coffee , Tobacco , Sugar , Banana —8—15—18—— ——3 Recôncavo, Mata Atlântica, Sertão
Ceará · coastal Brazil Brazil 211,451 30 Maize , Livestock , Cotton , Tobacco , Sugar , Banana —3—18—7—— ——3 Sertão
Goiás Brazil Brazil 73,918 40 Rice , Livestock , Tobacco , Sugar , Banana , Coffee —7———16—— ——16 Amazon Rainforest
Maranhão · coastal Brazil Brazil 148,249 30 Rice , Livestock , Tobacco , Sugar , Banana —7———16—— ——16 Amazon Rainforest
Mato Grosso Brazil Brazil +2 142,492 60 Maize , Livestock , Coffee , Cotton , Banana ———18—29—— —2026 Amazon Rainforest, Pantanal, Terra Roxa
Minas Gerais Brazil Brazil 729,904 150 Maize , Livestock , Coffee , Cotton , Tobacco , Sugar , Banana ——2453024—— 8207 —
Pará · coastal Brazil Grão-Pará 302,538 30 Rice , Livestock , Cotton , Tobacco , Banana —3—78—9—— —2022 Amazon Rainforest, Serra Dos Carajás
Paraíba · coastal Brazil Brazil 135,764 50 Maize , Livestock , Cotton , Tobacco , Sugar , Banana —2———4—— ——1 Sertão, Mata Atlântica
Paraná · coastal Brazil Brazil 36,566 40 Maize , Livestock , Coffee , Cotton , Dye , Tea , Sugar , Banana , Vineyards 203———30—2 ——— Paraná River, Terra Roxa
Pernambuco · coastal Brazil Brazil 707,769 60 Maize , Livestock , Coffee , Cotton , Tobacco , Sugar , Banana —3———5—— ——2 Sertão, Mata Atlântica
Piauí · coastal Brazil Brazil 94,932 30 Maize , Livestock , Cotton , Tobacco , Sugar , Banana —7—36—14—— ——4 Sertão
Rio de Janeiro · coastal Brazil Brazil 582,808 80 Maize , Livestock , Coffee , Dye , Tea , Sugar , Banana —9———9—4 ——7 Mata Atlântica
Rio Grande do Norte · coastal Brazil Brazil 87,948 30 Maize , Livestock , Cotton , Tobacco , Sugar , Banana —4———7—— ——2 Sertão, Mata Atlântica
Rio Grande do Sul · coastal Brazil Piratini 202,943 80 Maize , Livestock , Coffee , Dye , Tobacco , Sugar , Banana , Vineyards 286——3011—2 —20— Uruguay River, Pampas
Santa Catarina · coastal Brazil Brazil 61,753 40 Maize , Livestock , Coffee , Cotton , Dye , Tea , Sugar , Banana , Vineyards 202———7—2 ——— Terra Roxa
São Paulo · coastal Brazil Brazil 334,077 130 Maize , Livestock , Coffee , Cotton , Dye , Tea , Sugar , Banana —5———22—— —2010 Paraná River, Mata Atlântica, Terra Roxa
Uruguay · coastal Brazil Uruguay 139,866 100 Maize , Livestock , Vineyards —6———9—2 —20— Uruguay River, Pampas, Natural Harbors
Alberta Canada Iron Confederacy +2 67,603 80 Wheat , Livestock 48————7032— —80— Rocky Mountains
Manitoba · coastal Canada Hudson's Bay Company +1 78,848 60 Wheat , Livestock —5———32—— —30— Canadian Prairie, Hudson Bay
Newfoundland · coastal Canada Great Britain 87,976 20 Livestock —10—242424—6 ——— Grand Banks Fisheries
Northwest Territories Canada Hudson's Bay Company 16,000 20 Livestock ———18—40—— ——— Northern Canadian Terrain
Nunavut · coastal Canada Hudson's Bay Company 11,980 20 Livestock —————8—— ——— Northern Canadian Terrain, Hudson Bay
Ontario · coastal Canada Ontario +1 458,992 200 Wheat , Livestock , Tobacco , Vineyards —————9048— —60— Great Lakes, Niagara Falls, Hudson Bay
Quebec · coastal Canada Quebec +1 604,604 200 Wheat , Livestock , Tobacco —8—60—100—4 ——— St Lawrence River
Saskatchewan Canada Iron Confederacy +1 55,200 60 Wheat , Livestock 40————40—— —30— Canadian Prairie
Bahamas · coastal Central America Great Britain 119,600 10 Rice , Livestock , Coffee , Sugar , Banana —5—————— ——— —
Baja California · coastal Central America Mexico 22,864 20 Wheat , Livestock , Coffee , Cotton , Tobacco , Vineyards —6———2—4 ——— —
Bajío Central America Mexico 950,333 100 Maize , Livestock , Coffee , Dye , Tobacco , Sugar , Banana , Vineyards ——423———— ——— —
Central Cuba · coastal Central America Cuba 281,918 71 Rice , Livestock , Coffee , Tobacco , Sugar , Banana —3—3—5—— ——— Tierra Roja, Camagüey Plains
Chiapas · coastal Central America Mexico +1 146,677 40 Maize , Livestock , Coffee , Dye , Tobacco , Sugar , Banana —7———14—— ——24 Central American Cordilleras
Chihuahua Central America Mexico 163,895 40 Maize , Livestock , Cotton , Dye ————186—— ——— Sierra Madre Oriental, Rio Grande
Costa Rica · coastal Central America Central America 83,992 15 Maize , Livestock , Coffee , Dye , Tobacco , Sugar , Banana 243———8—— ——12 Central American Cordilleras
Durango Central America Mexico 156,999 60 Maize , Livestock —5—17—4—— ——— Sierra Madre Occidental
Eastern Cuba · coastal Central America Cuba 217,390 40 Rice , Livestock , Coffee , Tobacco , Sugar , Banana 103—21483— ——— Guantanamo Bay, Sierra Maestra
Guatemala · coastal Central America Central America +1 483,612 40 Maize , Livestock , Coffee , Cotton , Dye , Tobacco , Sugar , Banana —5—30—17—— ——20 Central American Cordilleras
Guerrero · coastal Central America Mexico 231,320 120 Maize , Livestock , Coffee , Dye , Tobacco , Sugar , Banana 244——158—— 3—8 Sierra Madre Oriental
Haiti · coastal Central America Haiti 858,270 35 Rice , Livestock , Coffee , Tobacco , Sugar , Banana , Dye —6———7—— ——12 Volcanic Fertility
Honduras · coastal Central America Central America 388,204 35 Maize , Livestock , Coffee , Cotton , Dye , Tobacco , Sugar , Banana —8———15—— ——16 Central American Cordilleras
Jalisco · coastal Central America Mexico 1,190,161 80 Maize , Livestock , Coffee , Dye , Tobacco , Sugar , Banana —8—33—18—— ——12 Sierra Madre Occidental, Natural Harbors
Jamaica · coastal Central America Great Britain 381,636 20 Rice , Livestock , Coffee , Tobacco , Sugar , Banana —5———4—— ——— Kingston Harbor, Volcanic Fertility
México Central America Mexico 1,811,090 160 Maize , Livestock , Coffee , Dye , Tobacco , Sugar , Banana , Vineyards ———9127—— ——8 Sierra Madre Oriental
Nicaragua · coastal Central America Central America +1 350,000 50 Maize , Livestock , Coffee , Cotton , Dye , Tobacco , Sugar , Banana —5———14—— ——14 Central American Cordilleras
Oaxaca · coastal Central America Mexico 479,674 120 Maize , Livestock , Coffee , Dye , Tobacco , Sugar , Banana 244——157—— 2—6 Sierra Madre Oriental
Panama · coastal Central America Colombia 128,192 20 Maize , Livestock , Coffee , Tobacco , Banana 366———8—2 ——12 —
Porto Rico · coastal Central America Puerto Rico 294,668 15 Rice , Livestock , Coffee , Tobacco , Sugar , Banana —4———2—— ——6 Natural Harbors
Río Grande · coastal Central America Mexico 224,503 40 Maize , Livestock , Cotton , Dye —8———5—— —80— Rio Grande
San Salvador · coastal Central America Central America 428,204 25 Maize , Livestock , Coffee , Dye , Tobacco , Sugar , Banana —4———7—— ——10 Central American Cordilleras
Santo Domingo · coastal Central America Haiti 131,530 30 Rice , Livestock , Coffee , Tobacco , Sugar , Banana , Dye —7———11—— ——12 Volcanic Fertility
Sinaloa · coastal Central America Mexico 134,941 60 Maize , Livestock , Opium —5—17—7—— ——— Sierra Madre Occidental
Sonora · coastal Central America Mexico 112,724 40 Wheat , Livestock , Cotton —7—27—4—— 6—— Sierra Madre Occidental
Veracruz · coastal Central America Mexico 251,061 160 Maize , Livestock , Coffee , Dye , Tobacco , Sugar , Banana —7—9126—— —408 Sierra Madre Oriental
West Indies · coastal Central America Great Britain +4 592,443 30 Rice , Livestock , Cotton , Coffee , Tobacco , Sugar , Banana —8—————— —30— Volcanic Fertility
Western Cuba · coastal Central America Cuba 405,470 92 Rice , Livestock , Coffee , Tobacco , Sugar , Banana —7———43— —108 Havana Harbor, Tierra Roja
Yucatán · coastal Central America Mexico 616,968 80 Maize , Livestock , Coffee , Dye , Sugar , Banana —9———18—— ——16 —
Zacatecas Central America Mexico 313,308 80 Maize , Livestock , Coffee , Dye , Tobacco , Sugar , Banana , Vineyards ———23———— 4—— Sierra Madre Oriental
Akmolinsk Central Asia Orta Zhuz +1 167,532 45 Rye , Livestock 68——16—6—— ——— Western Steppe
Aktobe Central Asia Kishi Zhuz 127,701 24 Livestock ———10—3—— —30— Western Steppe
Chorasmia Central Asia Khiva +2 954,775 85 Wheat , Livestock , Opium , Cotton —————4—— ——— —
Dzungaria Central Asia China 240,200 30 Wheat , Livestock ———2436—80— —10— —
Fergana Central Asia Kokand 838,759 150 Wheat , Livestock , Tea , Cotton ———21—5—— ——— —
Ili Central Asia China 133,642 50 Livestock , Wheat 12———204—— ——— —
Kirghizia Central Asia Kokand +1 476,700 50 Wheat , Livestock , Tea 32————6—— ——— —
Merv Central Asia Turkmenia +2 252,829 38 Wheat , Livestock , Tea ———21—5—— ——— —
Semipalatinsk Central Asia Orta Zhuz 242,674 32 Livestock 28———164—— ——— Western Steppe, Irtysh River
Syrdarya Central Asia Uly Zhuz +3 448,350 65 Livestock ———15606—— ——— —
Tajikistan Central Asia Bukhara +1 567,683 55 Wheat , Livestock , Tea , Opium 36————2—— ——— —
Tarim Basin Central Asia China 370,200 40 Wheat , Livestock , Cotton ———————— ——— Taklamakan Desert
Turkmenia Central Asia Turkmenia +1 402,274 25 Wheat , Livestock , Silk , Opium —————240— —30— —
Uralsk Central Asia Kishi Zhuz +2 235,238 35 Livestock —————7—— —60— Western Steppe
Uzbekia Central Asia Bukhara 1,024,095 100 Wheat , Livestock , Silk , Opium , Cotton , Tea —————6—— ——— —
Anhalt Central Europe Prussia +1 1,579,400 75 Rye , Livestock 44————20—— ——— Elbe River
Austria Central Europe Austria 2,014,400 80 Wheat , Livestock , Vineyards 44————7—— ——— Danube River
Baden Central Europe Baden 1,301,400 50 Wheat , Livestock , Vineyards 20——15—11—— ——— Rhine River, Black Forest
Bavaria Central Europe Bavaria 1,742,004 65 Wheat , Livestock , Vineyards 60——303023—— ——— Danube River
Bohemia Central Europe Austria 4,150,412 195 Rye , Livestock , Vineyards 48—545817—— ——— Elbe River
Brandenburg Central Europe Prussia 1,631,504 50 Rye , Livestock 44————6—— ——— Oder River
Brunswick Central Europe Brunswick +2 520,400 30 Rye , Livestock 40——45456—— ——— —
East Switzerland Central Europe Switzerland 895,200 40 Rye , Livestock , Vineyards ———303017—— ——— Alps Mountain Range, Rhine River
Elbe · coastal Central Europe Hanover +2 769,196 30 Rye , Livestock —5———9—— —60— Elbe River, Hamburger Hafen
Franconia Central Europe Bavaria 1,876,192 80 Wheat , Livestock , Vineyards ———30—17—— ——— —
Hanover · coastal Central Europe Hanover +1 1,407,904 60 Rye , Livestock —4—24—9—— —60— —
Hesse Central Europe Hesse +4 1,933,119 80 Rye , Livestock , Vineyards 60——30—840— ——— —
Lower Silesia Central Europe Prussia 1,919,162 90 Rye , Livestock 20——204109— ——— Oder River
Mecklenburg · coastal Central Europe Mecklenburg +1 579,000 25 Rye , Livestock —10———8—— ——— —
Moravia Central Europe Austria 2,098,396 80 Wheat , Livestock , Vineyards 56——10—14—— ——— —
Pomerania · coastal Central Europe Prussia 1,147,800 55 Rye , Livestock —10———11—— ——— Oder River
Ruhr Central Europe Prussia 856,288 39 Wheat , Livestock 55——10—4—— ——— Rhine River, Ruhr Coalfield
Saxony Central Europe Saxony +4 2,309,021 100 Rye , Livestock , Vineyards 80——30—680— ——— Elbe River
Schleswig-Holstein · coastal Central Europe Holstein +2 825,404 40 Rye , Livestock —6———6—— ——— —
Styria Central Europe Austria 736,796 40 Wheat , Livestock , Vineyards 40——24248—— ——— Drava River
Tyrol Central Europe Austria 559,304 30 Wheat , Livestock , Vineyards ——236—9—— ——— Alps Mountain Range
Upper Silesia Central Europe Prussia 735,861 45 Rye , Livestock 110——4050431— ——— Oder River, Upper Silesia Coalfield
West Switzerland Central Europe Switzerland 1,070,964 50 Rye , Livestock , Vineyards 48——24246—— ——— Alps Mountain Range, Rhine River
Westphalia Central Europe Prussia +2 1,380,196 60 Rye , Livestock 80——36—2432— ——— Ruhr Coalfield
Württemberg Central Europe Württemberg +1 1,781,084 70 Wheat , Livestock , Vineyards —————9—— ——— Black Forest
Amhara East Africa Hadiya +7 2,373,464 140 Millet , Livestock , Coffee , Cotton , Dye , Tea , Tobacco , Sugar —————20—— ——26 Malaria
Eritrea · coastal East Africa Egypt +1 219,960 30 Millet , Livestock , Cotton , Tobacco , Sugar —5—15———— ——— —
Gonder East Africa Gojjam +4 2,943,513 160 Millet , Livestock , Coffee , Cotton , Dye , Tea , Tobacco , Sugar —————23—— ——22 Malaria
Indian Ocean Territory · coastal East Africa France +1 209,392 15 Rice , Sugar , Coffee , Banana —10—————5 ——— Mascarene Plateau, Volcanic Fertility
Kazembe East Africa Bemba +2 403,208 60 Millet , Livestock , Coffee , Cotton , Dye , Tea , Tobacco , Sugar , Banana 48————14—— ——22 Malaria
Kenya · coastal East Africa Kikuyu +8 643,705 80 Millet , Livestock , Coffee , Cotton , Dye , Tea , Tobacco , Sugar , Banana , Vineyards —10———6—— ——16 Malaria
Lourenço Marques · coastal East Africa Gaza +1 973,804 80 Millet , Livestock , Coffee , Cotton , Dye , Tea , Tobacco , Sugar , Banana 408———9—— ——16 Malaria
Mocambique · coastal East Africa Maravi +3 1,209,124 80 Millet , Livestock , Coffee , Cotton , Dye , Tea , Tobacco , Sugar , Banana —8———23—— 2—28 Malaria
North Madagascar · coastal East Africa Madagascar 1,045,104 80 Millet , Livestock , Coffee , Dye , Tea , Tobacco , Sugar , Banana —10———20—6 ——16 Malaria
Oromia East Africa Shewa +3 1,692,191 130 Millet , Livestock , Coffee , Cotton , Dye , Tea , Tobacco , Sugar , Vineyards —————11—— —1028 Malaria
Rift Valley East Africa Turkana +2 351,600 60 Millet , Livestock , Coffee , Cotton , Dye , Tea , Tobacco , Sugar , Banana 48————7—— ——16 Malaria, Lake Victoria
Rufiji East Africa Hehe +2 567,904 70 Millet , Livestock , Coffee , Cotton , Dye , Tea , Tobacco , Sugar , Banana 44——33—5—— ——16 Malaria
Somaliland · coastal East Africa Majerteen +3 804,396 80 Millet , Livestock , Coffee , Tea , Vineyards —15—24———— ——— Malaria
South Madagascar · coastal East Africa Madagascar 897,800 80 Millet , Livestock , Coffee , Dye , Tea , Tobacco , Sugar , Banana 808———23—4 ——16 Malaria
Tanganyika East Africa Unyamwezi +5 1,959,396 150 Millet , Livestock , Coffee , Cotton , Dye , Tea , Tobacco , Sugar , Banana 72——48—23—— ——28 Malaria, Lake Victoria
Uganda East Africa Buganda +3 1,463,988 100 Millet , Livestock , Coffee , Cotton , Dye , Tea , Tobacco , Sugar , Banana , Vineyards —————20—— ——28 Malaria, Lake Victoria
Zambezi East Africa Mashona +2 424,000 70 Millet , Livestock , Coffee , Cotton , Tobacco , Sugar , Banana 44————11—— ——16 Severe Malaria, Zambezi River
Zambezia · coastal East Africa Portugal +4 1,285,196 70 Millet , Livestock , Coffee , Cotton , Dye , Tea , Tobacco , Sugar , Banana —6—33———— 4—14 Malaria, Zambezi River
Zambia East Africa Barotse +1 128,492 60 Millet , Livestock , Coffee , Cotton , Tobacco , Sugar 36———3317—— ——20 Severe Malaria, Zambezi River
Zanzibar · coastal East Africa Oman 1,176,200 70 Millet , Livestock , Coffee , Cotton , Dye , Tea , Tobacco , Sugar , Banana —10———8—— ——16 Natural Harbors, Malaria
Aleksandrovsk · coastal Eastern Europe Russia 1,296,141 110 Wheat , Livestock , Vineyards 3512—48—8—— ——— Black Soil, Dnieper River, Western Steppe
Chernihiv Eastern Europe Russia 1,424,280 75 Wheat , Livestock —————16—— —6— Dnieper River
Courland · coastal Eastern Europe United Baltic Provinces 467,752 22 Rye , Livestock —6———7—— ——— —
Crimea · coastal Eastern Europe Russia 209,258 40 Wheat , Livestock , Tobacco , Vineyards —12—15—4—— ——— Black Soil, Natural Harbors
East Galicia Eastern Europe Austria 2,448,608 145 Wheat , Livestock 92————9—— —100— —
East Prussia · coastal Eastern Europe Prussia 859,792 40 Rye , Livestock —10———17—— ——— —
Hrodna Eastern Europe Russia 771,332 75 Rye , Livestock —————14—— ——— —
Kharkiv Eastern Europe Russia 2,956,760 150 Wheat , Livestock 60——28—20—— —12— Black Soil, Dnieper River
Kyiv Eastern Europe Russia 3,313,761 175 Wheat , Livestock 36——14—32—— ——— Black Soil, Dnieper River
Lithuania · coastal Eastern Europe Russia 607,037 56 Rye , Livestock —2———8—— ——— —
Lublin Eastern Europe Russia 992,197 60 Rye , Livestock 108——32—1332— ——— —
Magiliow Eastern Europe Russia 624,822 70 Rye , Livestock —————21—— ——— Russian Taiga Forests
Minsk Eastern Europe Russia 788,027 90 Rye , Livestock 5——8—35—— ——— —
North Livonia · coastal Eastern Europe United Baltic Provinces 311,221 18 Rye , Livestock —7———7—— ——— —
Odessa · coastal Eastern Europe Russia 962,860 80 Wheat , Livestock , Vineyards 4812—92—8—— ——— Black Soil, Dnieper River, Western Steppe
Płock Eastern Europe Russia 1,315,511 75 Rye , Livestock 24————8—— ——— —
Posen Eastern Europe Prussia 1,568,764 90 Rye , Livestock ———24—9—— ——— —
South Livonia · coastal Eastern Europe United Baltic Provinces +1 686,326 38 Rye , Livestock —10———11—— ——— —
Talinn · coastal Eastern Europe United Baltic Provinces 312,840 22 Rye , Livestock —8———9—— ——— —
Vilnius Eastern Europe Russia 522,137 31 Rye , Livestock —————7—— ——— —
Vitsyebsk Eastern Europe Russia 410,133 55 Rye , Livestock —————12—— ——— Russian Taiga Forests
Volhynia Eastern Europe Russia 716,846 40 Wheat , Livestock 42————18—— ——— —
Warszawa Eastern Europe Russia 2,588,291 132 Rye , Livestock 84——48249—— ——— —
West Galicia Eastern Europe Austria +1 2,280,404 145 Rye , Livestock 140——33—17—— —60— —
West Prussia · coastal Eastern Europe Prussia 797,004 40 Rye , Livestock —10———840— ——— Natural Harbors
Chad Equatorial Africa Tubu +2 355,964 30 Livestock ———————— —30— Malaria, Sahel
Congo · coastal Equatorial Africa Loango +2 152,400 50 Millet , Livestock , Coffee , Cotton , Dye , Tea , Sugar , Banana 484———25—— —560 Severe Malaria, Congo River, Congolian Rainforest
East Angola Equatorial Africa Chokwe +3 584,792 60 Millet , Livestock , Coffee , Cotton , Tobacco 80———2711—— ——16 Severe Malaria, Zambezi River
Equateur Equatorial Africa Bangala +1 877,212 50 Millet , Livestock , Coffee , Cotton , Dye , Tea , Sugar , Banana —————26—— ——30 Severe Malaria, Congo River, Congolian Rainforest
Gabon · coastal Equatorial Africa Loango +1 316,000 40 Millet , Livestock , Coffee , Cotton , Dye , Tea , Sugar , Banana —9———20—— —524 Severe Malaria
Kasai Equatorial Africa Kuba +1 1,296,000 70 Millet , Livestock , Coffee , Cotton , Dye , Tea , Sugar , Banana ———27—18—— ——22 Severe Malaria, Congolian Rainforest
Katanga Equatorial Africa Kazembe +2 634,808 90 Millet , Livestock , Coffee , Cotton , Dye , Tea , Sugar , Banana ———27—18—— ——20 Severe Malaria
Lower Congo · coastal Equatorial Africa Kongo +1 876,000 50 Millet , Livestock , Coffee , Cotton , Dye , Tea , Sugar , Banana —7—36—23—— ——32 Severe Malaria, Congo River, Congolian Rainforest
Lualaba Equatorial Africa Mangbetu +4 1,561,524 80 Millet , Livestock , Coffee , Cotton , Dye , Tea , Sugar , Banana 44————23—— ——52 Severe Malaria, Congo River, Congolian Rainforest
North Angola · coastal Equatorial Africa Kongo +1 473,172 50 Millet , Livestock , Coffee , Cotton , Sugar , Dye , Tobacco —8———13—4 ——22 Malaria
North Cameroon Equatorial Africa Sokoto +1 916,592 70 Millet , Livestock , Coffee , Cotton , Dye , Tea , Sugar , Banana —————18—— ——— Malaria
South Angola · coastal Equatorial Africa Portugal +3 592,100 70 Millet , Livestock , Coffee , Cotton , Sugar , Tobacco , Vineyards —7———5—4 ——14 Malaria
South Cameroon · coastal Equatorial Africa Duala +3 1,281,242 70 Millet , Livestock , Coffee , Cotton , Dye , Tea , Sugar , Banana —7———30—— ——24 Malaria
Ubangi-Shari Equatorial Africa Dar al Kuti +1 355,400 40 Millet , Livestock , Coffee , Cotton , Dye , Tea , Sugar , Banana 48————18—— ——34 Severe Malaria
Waddai Equatorial Africa Wadai +2 354,992 40 Millet , Livestock , Cotton , Dye , Tobacco —————8—— ——— Malaria
Antioquia · coastal Gran Colombia Colombia 537,812 120 Maize , Livestock , Coffee , Cotton , Tobacco , Sugar , Banana 328—36—13—— —208 Andes
Bolívar · coastal Gran Colombia Venezuela 198,162 40 Maize , Livestock , Coffee , Sugar , Banana —3—30—25—— —5016 —
Cauca · coastal Gran Colombia Colombia 284,400 80 Maize , Livestock , Coffee , Cotton , Dye , Tobacco , Banana 206———8—2 ——6 Andes
Cundinamarca Gran Colombia Colombia 527,600 50 Rice , Livestock , Coffee , Cotton , Dye , Tobacco , Sugar , Banana , Opium 20————7—— ——10 Andes
Guaviare Gran Colombia Colombia 128,392 60 Rice , Livestock , Coffee , Dye , Tobacco , Banana —————25—— ——18 Amazon Rainforest
Guyana · coastal Gran Colombia Great Britain +2 180,008 30 Rice , Livestock , Coffee , Sugar , Banana —6———20—— 122016 Amazon Rainforest
Miranda · coastal Gran Colombia Venezuela 359,124 60 Maize , Livestock , Coffee , Cotton , Tobacco , Sugar , Banana —5———7—— —1004 —
Zulia · coastal Gran Colombia Venezuela 431,116 80 Rice , Livestock , Coffee , Tobacco , Sugar , Banana 247———932— —1004 Lake Maracaibo
Arkansas Great Plains America 92,620 180 Rice , Livestock , Cotton , Tobacco ————4511—— —20— Mississippi River
Colorado Great Plains Arapaho +3 22,600 160 Maize , Livestock 40————9—— 820— Rocky Mountains
Iowa Great Plains America 43,992 240 Maize , Livestock , Tobacco 64————1140— ——— Mississippi River
Kansas Great Plains America +2 24,000 240 Wheat , Livestock 32———187—— —50— Great Plains
Louisiana · coastal Great Plains America 294,684 120 Rice , Livestock , Cotton , Tobacco , Sugar 2412———1332— —20— Mississippi River
Minnesota Great Plains Lakota +1 38,000 200 Maize , Livestock ———45—4040— ——— Mississippi River
Missouri Great Plains America 367,508 230 Maize , Livestock , Cotton , Tobacco , Vineyards ————3616—— —20— Mississippi River
Montana Great Plains Absaroka +4 63,600 200 Wheat , Livestock 80——33—17—— —20— Rocky Mountains
Nebraska Great Plains Pawnee +2 20,000 240 Maize , Livestock —————5—— —20— Great Plains
New Mexico Great Plains Mexico +3 67,796 40 Wheat , Livestock , Cotton , Vineyards 20————6—— ——— Rio Grande
North Dakota Great Plains Lakota +1 40,000 240 Wheat , Livestock 48————11—— —20— Great Plains
Oklahoma Great Plains Indian Territory +1 80,000 220 Wheat , Livestock , Cotton 40————7—— —80— —
South Dakota Great Plains Lakota +1 38,000 240 Wheat , Livestock 32————9—— 820— Great Plains
Texas · coastal Great Plains Texas +2 93,264 500 Maize , Livestock , Cotton , Sugar , Vineyards 286———736— —100— Rio Grande
Wyoming Great Plains Pannakwati +5 42,100 160 Wheat , Livestock 48————13—— —20— Rocky Mountains
Arabistan · coastal Greater Persia Arabistan 458,498 60 Wheat , Livestock , Cotton , Opium , Tobacco , Dye , Sugar , Silk —5———422— —60— —
Armenia Greater Persia Russia 252,964 60 Wheat , Livestock , Silk , Vineyards ———27212—— ——— —
Baku Greater Persia Russia 285,283 30 Rice , Livestock , Cotton , Silk , Tea , Tobacco , Vineyards ————184—— —100— —
Baluchistan · coastal Greater Persia Kalat +3 1,075,633 63 Wheat , Livestock , Dye , Opium , Tea —5—20101—— ——— —
Bampur · coastal Greater Persia Makran +2 148,944 30 Wheat , Livestock , Dye , Tobacco , Opium , Cotton 124—14—3—— ——— —
Elizavetpol Greater Persia Russia 260,795 35 Livestock , Vineyards ———10—12—— ——— —
Fars · coastal Greater Persia Persia 538,436 70 Wheat , Livestock , Cotton , Silk , Opium , Vineyards , Tobacco , Dye —7—5—628— —60— Zagros Mountains
Hazaristan Greater Persia Kabul +2 168,485 40 Wheat , Livestock , Cotton , Silk , Opium , Tea , Vineyards ———1684—— ——— —
Herat Greater Persia Herat 897,586 50 Wheat , Livestock , Cotton , Silk , Opium , Tea , Vineyards ———68——— ——— —
Hormuz · coastal Greater Persia Oman +2 110,989 30 Wheat , Livestock , Tobacco , Opium , Dye , Cotton , Silk , Vineyards —10—11—1—— —40— Natural Harbors
Irak-i-Ajami Greater Persia Persia 1,509,713 50 Wheat , Livestock , Tobacco , Opium , Dye , Cotton , Silk , Vineyards 28——7106—— ——— —
Isfahan Greater Persia Persia 499,382 90 Wheat , Livestock , Tobacco , Opium , Dye , Cotton , Silk , Vineyards 22——51284—— ——— Cobalt Deposits
Kabulistan Greater Persia Kabul +1 1,078,980 80 Wheat , Livestock , Cotton , Opium , Tea , Vineyards 6——10—4—— ——— —
Kandahar Greater Persia Kandahar 868,459 50 Wheat , Livestock , Cotton , Opium , Tea , Vineyards 4——5—2—— ——— —
Kerman Greater Persia Persia 227,689 20 Wheat , Livestock , Tobacco , Opium , Dye , Cotton , Silk , Vineyards 14——40—222— ——— Bam-Narmashir Oasis
Khorasan Greater Persia Persia 715,822 90 Wheat , Livestock , Dye , Opium , Tobacco , Cotton , Silk , Vineyards 12——22—4—— —20— —
Luristan Greater Persia Persia 325,202 40 Wheat , Livestock , Cotton , Opium , Dye , Silk , Vineyards , Tobacco ———3—3—— —20— Zagros Mountains
Mazandaran Greater Persia Persia 1,026,936 70 Rice , Livestock , Cotton , Silk , Opium , Tea , Sugar , Tobacco 22——11—20—— —20— Hyrcanian Forests, Alborz Mountains
Northern Baluchistan Greater Persia Kandahar 30,520 10 Livestock 3——————— ——— —
Pashtunistan Greater Persia Punjab +2 2,263,428 150 Wheat , Livestock , Opium , Tea , Vineyards ————46—— ——— Indus River
Persian Kurdistan Greater Persia Persia 401,370 50 Wheat , Livestock , Cotton , Opium , Dye , Silk , Vineyards , Tobacco ———3—4—— —20— Zagros Mountains
Quetta Greater Persia Kabul +1 291,926 42 Wheat , Livestock , Dye , Opium , Tea ———482—— ——— —
Semnan Greater Persia Persia 59,311 20 Wheat , Livestock , Tobacco , Opium ———484—— ——— —
Southern Turkestan Greater Persia Kunduz +2 265,203 40 Wheat , Livestock , Cotton , Opium , Tea , Vineyards 14——14—7—— ——— —
Tabriz Greater Persia Persia 914,086 110 Wheat , Livestock , Cotton , Silk , Tea , Vineyards , Tobacco , Opium , Dye 20——20255—— ——— —
Tiflis · coastal Greater Persia Russia 1,453,390 75 Wheat , Livestock , Cotton , Silk , Tea , Vineyards 4053242019—— ——— Caucasus Mountain Range
Urmia Greater Persia Persia 360,941 50 Wheat , Livestock , Cotton , Silk , Tea , Vineyards , Tobacco , Opium , Dye ———10—2—— ——— Zagros Mountains
Eastern Himalayas Himalayas Bhutan +2 390,938 30 Rice , Livestock , Opium , Tea 3————3—— ——— Himalayas Mountain Range
Kashmir Himalayas Kashmir +2 1,682,256 85 Rice , Livestock , Dye , Opium , Tea , Vineyards , Silk ———8—17—— ——— Indus River
Lhasa Himalayas Tibet 1,820,000 100 Rye , Livestock —————20—— ——— Himalayas Mountain Range
Ngari Himalayas Tibet 890,000 60 Livestock —————11—— ——— Himalayas Mountain Range
Qinghai Himalayas China 1,248,004 60 Livestock 48————6—— ——— Yellow River
Western Himalayas Himalayas Nepal 4,242,426 111 Rice , Livestock , Opium , Tea , Tobacco ———8810—— ——— Himalayas Mountain Range
Annam · coastal Indochina Dai Nam 2,406,625 60 Rice , Livestock , Coffee , Cotton , Silk , Dye , Tea , Sugar , Banana 2415—27—17—— ——6 Indochinese Forests
Arakan · coastal Indochina East India +1 214,204 32 Rice , Livestock , Cotton , Opium , Tobacco , Dye , Sugar , Banana —10———21—— —7— —
Bangkok · coastal Indochina Siam 1,718,404 50 Rice , Livestock , Cotton , Silk , Opium , Tea , Tobacco , Sugar , Banana —8———17—— ——16 Chao Phraya Delta, Natural Harbors
Cambodia · coastal Indochina Cambodia +2 960,747 35 Rice , Livestock , Cotton , Silk , Tea , Tobacco , Sugar , Banana —5—30—20—— ——12 Indochinese Forests, Mekong River
Chiang Mai Indochina Chiang Mai 924,200 30 Rice , Livestock , Cotton , Opium , Tea , Tobacco , Sugar , Banana 32———3618—— ——4 —
Laos Indochina Luang Prabang +4 712,335 40 Rice , Livestock , Coffee , Cotton , Silk , Dye , Opium , Tea , Tobacco , Sugar , Banana 32——36—23—— ——— Indochinese Forests, Mekong River
Malaya · coastal Indochina Johore +4 1,212,000 35 Rice , Livestock , Coffee , Tea , Sugar , Banana 3210——2417—— ——40 Natural Harbors
Mandalay Indochina Burma +1 1,084,946 48 Rice , Livestock , Cotton , Tea , Sugar , Dye , Banana , Silk ——216—20—— —2620 Burmese Teak, Yenangyaung Oil Fields
Mekong · coastal Indochina Dai Nam +1 1,812,188 60 Rice , Livestock , Coffee , Cotton , Silk , Dye , Tea , Sugar , Banana —16———20—— ——8 Mekong Delta, Indochinese Forests
Nakhon Ratchasima · coastal Indochina Siam 1,182,312 40 Rice , Livestock , Cotton , Silk , Opium , Tea , Tobacco , Sugar , Banana —6———25—— ——2 Indochinese Forests
Pegu · coastal Indochina Burma +2 1,329,669 40 Rice , Livestock , Opium , Tobacco , Sugar , Banana , Dye —10———18—— —59 Irrwaddy Delta, Burmese Teak
Sagaing Indochina Burma 638,171 38 Rice , Livestock , Cotton , Opium , Tea , Sugar , Banana ——37—24—— ——— Burmese Teak
Shan States Indochina Shan +1 1,096,525 33 Rice , Livestock , Cotton , Opium , Tea , Sugar , Banana 5——83417—— ——2 Burmese Teak
Tenasserim · coastal Indochina East India +1 706,396 20 Rice , Livestock , Cotton , Dye , Opium , Tea , Tobacco , Sugar , Banana —12—5—17—— ——16 —
Tonkin · coastal Indochina Dai Nam +1 2,343,544 60 Rice , Livestock , Coffee , Cotton , Silk , Dye , Opium , Tea , Sugar , Banana 387———15—— ——16 Indochinese Forests, Quang Yen Coalfield
Aceh · coastal Indonesia Aceh +2 561,925 40 Rice , Livestock , Coffee , Dye , Tea , Tobacco , Sugar , Banana —8—15—1420— —2518 Natural Harbors
Celebes · coastal Indonesia Sulawesi +3 558,926 40 Rice , Livestock , Coffee , Dye , Tea , Tobacco , Banana —4—27—14—— ——4 Malaria
Central Java · coastal Indonesia East Indies +2 2,204,558 80 Rice , Livestock , Coffee , Cotton , Dye , Tea , Tobacco , Sugar , Banana —4———632— ——8 Volcanic Fertility
East Borneo · coastal Indonesia Kutai +3 445,292 40 Rice , Livestock , Coffee , Dye , Tea , Tobacco , Banana 289———20—— —6028 Borneo Rainforest
East Java · coastal Indonesia East Indies 2,080,396 60 Rice , Livestock , Coffee , Cotton , Dye , Tea , Tobacco , Sugar , Banana —8———740— —2012 Natural Harbors, Volcanic Fertility
Eastern New Guinea · coastal Indonesia Papua 400,102 30 Rice , Livestock , Coffee , Dye , Sugar , Banana —10—24—16322 —1512 Severe Malaria
Luzón · coastal Indonesia Philippines +1 1,477,686 80 Rice , Livestock , Coffee , Cotton , Dye , Tea , Tobacco , Sugar , Banana —12—24—20—— ——4 Manila Bay
Mindanao · coastal Indonesia Mindanao +3 991,156 60 Rice , Livestock , Coffee , Cotton , Dye , Tea , Tobacco , Banana —8—36—14—— ——10 —
Moluccas · coastal Indonesia East Indies +1 477,766 20 Rice , Livestock , Coffee , Dye , Tea , Tobacco , Banana —6———4—— ——4 —
North Borneo · coastal Indonesia Brunei +2 265,523 20 Rice , Livestock , Coffee , Dye , Tea , Tobacco , Banana —8—24—2036— 82016 Sarawak River, Borneo Rainforest
North Sumatra · coastal Indonesia Siak +2 708,004 60 Rice , Livestock , Coffee , Dye , Tea , Tobacco , Sugar , Banana 4013———2948— ——28 —
South Sumatra · coastal Indonesia East Indies 132,694 40 Rice , Livestock , Coffee , Dye , Tea , Tobacco , Sugar , Banana 4013———2948— —2028 —
Sunda Islands · coastal Indonesia Bali +2 1,631,268 60 Rice , Livestock , Coffee , Dye , Tea , Tobacco , Banana —10—24—1740— ——8 —
Visayas · coastal Indonesia Philippines 1,033,743 65 Rice , Livestock , Coffee , Cotton , Dye , Tea , Tobacco , Sugar , Banana 510—30—18—— ——4 —
West Borneo · coastal Indonesia Pontianak +4 370,060 22 Rice , Livestock , Coffee , Dye , Tea , Tobacco , Banana —7——3017—— 6—12 Kapuas River, Borneo Rainforest
West Java · coastal Indonesia East Indies 3,861,212 110 Rice , Livestock , Coffee , Cotton , Dye , Tea , Tobacco , Sugar , Banana 2011———832— —2012 Volcanic Fertility
Western New Guinea · coastal Indonesia Papua +1 435,400 40 Rice , Livestock , Coffee , Dye , Sugar , Banana —9—18—20—2 —158 Severe Malaria
Alto Paraguay La Plata Guarani 12,030 20 Rice , Livestock , Banana —————11—— —20— Gran Chaco
Araucania · coastal La Plata Chile +2 95,404 10 Livestock —15———3040— 420— Andes, Canales Patagónicos
Bajo Paraguay La Plata Paraguay 249,886 120 Rice , Livestock , Cotton , Dye , Tobacco , Sugar , Banana ———15—14—— —20— Paraguay River
Buenos Aires · coastal La Plata Argentina +1 272,600 300 Wheat , Livestock , Vineyards —12———9—— ——— Pampas, Natural Harbors
Chaco La Plata Argentina +1 46,904 60 Maize , Livestock , Cotton , Dye , Tobacco , Banana —————13—— ——— Gran Chaco
Córdoba La Plata Argentina 176,000 150 Wheat , Livestock , Dye , Sugar , Vineyards —————13—— ——— —
Corrientes La Plata Argentina 156,192 120 Maize , Livestock , Dye , Tobacco , Sugar , Banana —————15—— —20— Paraná River, Paraguay River, Pampas
Los Ríos · coastal La Plata Chile 252,892 70 Wheat , Livestock , Tobacco , Sugar , Vineyards 6010——2420323 ——— Andes, Cordillera de la Costa, Valle Central
Mendoza La Plata Mapuche +1 43,996 120 Wheat , Livestock , Dye , Sugar , Vineyards 40—————52— ——— Andes
Patagonia · coastal La Plata Mapuche +1 64,200 150 Livestock 327————20— —20— Andes
Santa Fe · coastal La Plata Argentina +1 104,008 80 Maize , Livestock , Dye , Vineyards —2———11—— —20— Paraná River, Pampas
Santiago · coastal La Plata Chile 656,808 50 Wheat , Livestock , Tobacco , Sugar , Vineyards —8533—6362 ——— Andes, Cordillera de la Costa, Valle Central
South Atlantic Islands · coastal La Plata Great Britain 14,540 10 Livestock —2—————3 ——— Antarctic Whaling
Tucumán La Plata Argentina 79,008 60 Maize , Livestock , Dye , Tobacco , Sugar , Banana , Vineyards ——339156—— ——— Andes
Adana · coastal Near East Egypt +1 368,409 15 Wheat , Livestock , Cotton , Tea , Tobacco , Vineyards 4412———4—— ——— Euphrates River
Aleppo · coastal Near East Egypt 593,000 40 Wheat , Livestock , Banana , Cotton , Silk , Tobacco , Vineyards —5———6—— ——— Euphrates River
Ankara Near East Turkey 1,579,415 65 Wheat , Livestock , Cotton , Tea , Tobacco , Vineyards , Opium —————9—— ——— Anatolian Plateau
Aydin · coastal Near East Turkey 1,003,276 35 Wheat , Livestock , Cotton , Silk , Tea , Tobacco , Vineyards 4815———5—— ——— Natural Harbors
Baghdad Near East Turkey 500,994 40 Rice , Livestock , Silk , Tobacco ———————— —40— Mesopotamian Floodplain, Tigris River, Euphrates River
Basra · coastal Near East Turkey 425,904 30 Rice , Livestock , Silk , Tobacco —6————32— —60— Mesopotamian Floodplain, Tigris River, Euphrates River
Cyprus · coastal Near East Turkey 148,665 9 Wheat , Livestock , Cotton , Banana , Vineyards —5—5—25— ——— —
Deir-Ez-Zor Near East Turkey 254,096 20 Millet , Livestock , Tobacco ———————— ——— Euphrates River
Diyarbakir Near East Turkey 712,235 40 Wheat , Livestock , Cotton , Tea , Tobacco , Vineyards 32——————— ——— Tigris River, Euphrates River, Zagros Mountains
East Aegean Islands · coastal Near East Turkey 93,984 5 Wheat , Livestock , Cotton , Tobacco , Vineyards —6—————— ——— —
Erzurum Near East Turkey 880,846 40 Wheat , Livestock , Cotton , Tea , Tobacco ———30369—— ——— Zagros Mountains
Hudavendigar · coastal Near East Turkey 1,038,367 40 Wheat , Livestock , Cotton , Silk , Tea , Tobacco , Vineyards —8———9—— ——— —
Kars · coastal Near East Turkey +1 189,700 10 Wheat , Livestock , Cotton , Tea , Tobacco —5———9—— ——— —
Kastamonu · coastal Near East Turkey 774,816 35 Wheat , Livestock , Cotton , Tea , Tobacco , Opium , Vineyards 7210———11—— ——— Pontus, Zonguldak Basin
Konya · coastal Near East Turkey 801,714 40 Wheat , Livestock , Cotton , Tea , Tobacco , Opium , Vineyards —6———4—— ——— Anatolian Plateau
Lebanon · coastal Near East Egypt 378,000 30 Millet , Livestock , Cotton , Tobacco , Banana , Vineyards , Silk 445———4—— ——— Mount Lebanon
Mosul Near East Turkey 593,804 30 Wheat , Livestock , Cotton , Tobacco ——————36— —40— Tigris River
Palestine · coastal Near East Egypt 370,500 30 Millet , Livestock , Cotton , Silk , Tobacco , Banana , Vineyards —4—24—59— ——— —
Syria Near East Egypt 540,200 30 Millet , Livestock , Cotton , Silk , Tobacco , Vineyards —————2—— ——— Euphrates River
Trabzon · coastal Near East Turkey 913,612 40 Wheat , Livestock , Cotton , Tea , Tobacco , Vineyards —9—21—8—— ——— Pontus
Transjordan · coastal Near East Egypt 40,000 5 Millet , Livestock , Banana —2———212— ——— —
Blue Nile Nile Basin Egypt 1,149,592 60 Millet , Livestock , Coffee , Cotton , Tobacco , Sugar —————14—— ——— Nile River
Darfur Nile Basin Darfur 235,992 20 Livestock ———————— —30— Sahel
Dongola · coastal Nile Basin Egypt 364,004 40 Millet , Livestock , Cotton , Tobacco , Sugar —4———4—— —5— Nile River
Egyptian Desert Nile Basin Egypt 36,050 5 Livestock ———————— ——— Sahara Desert
Equatoria Nile Basin Dar Fertit +3 1,007,204 60 Millet , Livestock , Coffee , Cotton , Tobacco , Sugar —————13—— ——18 Malaria, White Nile
Kordofan Nile Basin Egypt 524,808 40 Livestock —————4—— —20— Sahel
Lower Egypt · coastal Nile Basin Egypt 2,670,504 80 Wheat , Livestock , Cotton , Opium , Tobacco , Sugar , Banana , Vineyards —6———220— ——— Nile River
Matruh · coastal Nile Basin Egypt 22,050 3 Livestock —3—————— ——— Sahara Desert
Middle Egypt · coastal Nile Basin Egypt 1,157,903 50 Wheat , Livestock , Cotton , Opium , Tobacco , Sugar , Banana —4———2—— ——— Nile River
Sinai · coastal Nile Basin Egypt 20,616 10 Livestock —3—2424——— ——— —
Upper Egypt · coastal Nile Basin Egypt 391,745 40 Wheat , Livestock , Cotton , Dye , Opium , Tobacco , Sugar —13———2—— ——— Nile River
al Rif · coastal North Africa Morocco +1 509,191 50 Wheat , Livestock , Cotton , Sugar , Banana , Vineyards 67———6—— ——— —
Algiers · coastal North Africa Mascara +1 1,413,402 82 Wheat , Livestock , Cotton , Vineyards —8—1076—— ——— Mitidja Plain, Atlas Mountains
Constantine · coastal North Africa Constantine +2 1,811,572 99 Wheat , Livestock , Vineyards —4—5519618— —20— Mokta El Hadid, Atlas Mountains
Cyrenaica · coastal North Africa Tripolitania +2 442,524 28 Wheat , Livestock , Vineyards —4———6—— —40— Sahara Desert
East Sahara North Africa Touggourt +4 107,404 10 Livestock ———————— —20— Sahara Desert
Fez · coastal North Africa Morocco 1,127,204 70 Wheat , Livestock , Cotton , Sugar , Banana —5———4—— ——— —
Fezzan North Africa Fezzan +3 64,000 10 Livestock ———————— —30— Sahara Desert
Inner Morocco · coastal North Africa Morocco +1 622,125 50 Livestock 6433030——— ——— Atlas Mountains
Marrakech · coastal North Africa Morocco 1,029,196 60 Wheat , Livestock , Cotton , Sugar , Banana , Vineyards —8—30——52— ——— Khouribga Basin
Oran · coastal North Africa Mascara +1 784,777 53 Wheat , Livestock , Vineyards —5—12—3—— ——— Atlas Mountains
Sahara North Africa Tekna +4 61,575 10 Livestock 16——————— —20— Sahara Desert
Tripoli · coastal North Africa Tripolitania +2 512,220 30 Wheat , Livestock —9———2—— —30— —
Tunisia · coastal North Africa Tunis 1,315,008 70 Wheat , Livestock , Cotton , Sugar , Vineyards —7——15948— ——— —
West Sahara · coastal North Africa Tekna +2 60,136 20 Livestock —11————36— ——— Sahara Desert
Alxa North China China 44,788 11 Livestock , Wheat 32——————— —10— Gobi Desert
Beijing · coastal North China China 15,029,015 340 Wheat , Livestock , Cotton , Silk , Tobacco 283—30152—— ——— Kaiping Coalfield
Gansu North China China 6,429,641 150 Rice , Livestock , Cotton , Tobacco —————5—— ——— —
Hebei · coastal North China China 8,503,121 200 Wheat , Livestock , Cotton , Silk , Tobacco 54—9—936— ——— Yellow River
Henan North China China 20,936,384 500 Rice , Livestock , Cotton , Silk , Tea , Tobacco 52————1136— ——— Yellow River
Inner Mongolia North China China 2,135,417 102 Wheat , Livestock ———36246—— ——— Yellow River, Eastern Steppe
Jiangsu · coastal North China China 10,993,608 280 Rice , Livestock , Cotton , Silk , Tea , Tobacco —8———8—— ——— —
Ningxia North China China 8,820,588 200 Rice , Livestock , Tea , Tobacco , Vineyards , Opium —————8—— ——— Yellow River
Northern Anhui North China China 10,662,000 270 Rice , Livestock , Cotton , Silk , Tea , Tobacco 48————6—— ——— —
Shandong · coastal North China China 15,176,000 350 Wheat , Livestock , Cotton , Silk , Tea , Tobacco —15———632— —20— Yellow River
Shanxi North China China 14,840,084 375 Wheat , Livestock , Tobacco , Vineyards 116——96—748— —30— Loess Plateau, Yellow River
Uliastai North China China 283,623 30 Livestock 36——33—5—— ——— Eastern Steppe
Urga North China China 340,996 40 Livestock , Wheat 36——45—4—— ——— Eastern Steppe
Xi’an North China China 9,695,792 250 Rice , Livestock , Cotton , Silk , Tea , Tobacco , Vineyards , Opium 72————960— —20— Loess Plateau
Agra North India East India +1 21,126,256 483 Rice , Livestock , Cotton , Opium , Tea , Dye , Tobacco , Sugar 4——3—6—— ——— Ganges River
Assam North India Assam +6 2,424,586 105 Rice , Livestock , Dye , Tea , Tobacco , Banana , Silk , Coffee , Cotton 29————37—— —4412 Brahmaputra River, Himalayan Foothills, Digboi Oil Fields
Bihar North India East India 12,241,311 375 Rice , Livestock , Cotton , Dye , Opium , Tobacco , Sugar 81——30—17—— ——— Ganges River, Jharia-Dhanbad Coalfield
Bundelkhand North India Rewah +3 2,499,918 174 Wheat , Livestock , Cotton , Dye , Sugar , Silk 12——8—18—— ——— —
Central Provinces North India Nagpur +3 6,893,893 205 Rice , Livestock , Cotton , Dye , Opium , Sugar , Banana , Silk 21——22—12—— ——— —
Delhi North India East India +2 3,421,258 252 Wheat , Livestock , Cotton , Sugar , Banana , Opium —————53— ——— Ganges River
East Bengal · coastal North India East India 21,556,674 601 Rice , Livestock , Banana , Dye , Tobacco , Tea , Sugar , Silk 411———23—— ——— Bengal Delta, Natural Harbors
Gujarat · coastal North India East India +9 5,390,663 335 Wheat , Livestock , Cotton , Dye , Opium , Tobacco , Sugar , Banana , Silk —16—4—4—— —8— Natural Harbors
Malwa North India Gwalior +2 2,281,362 131 Wheat , Livestock , Cotton , Dye , Opium , Sugar , Tobacco , Silk 4——11—8—— ——— Good Soils
Orissa · coastal North India East India +3 1,312,267 83 Rice , Livestock , Cotton , Dye , Tea , Tobacco , Sugar , Banana , Silk 217—36—15—— ——— —
Oudh North India Awadh +1 8,506,675 371 Silk , Rice , Livestock , Cotton , Dye , Opium , Sugar , Tobacco , Banana —————6—— ——— Ganges River
Punjab North India Punjab +1 5,709,538 505 Wheat , Livestock , Coffee , Cotton , Silk , Dye , Tea , Tobacco , Vineyards 6——6—11—— —7— Indus River, Indus Valley
Punjab Hills North India Punjab +3 2,468,805 182 Wheat , Livestock , Cotton , Opium , Tea , Tobacco , Sugar , Silk ———12—9—— ——— Indus River, Himalayan Foothills
Rajputana North India Dhundhar +9 5,298,865 199 Rice , Livestock , Cotton , Dye , Opium , Tobacco , Sugar ———24623— ——— —
Sindh · coastal North India Sindh 1,960,004 75 Wheat , Livestock , Coffee , Cotton , Opium , Sugar , Tobacco , Banana —6———34— ——— Indus River, Indus Valley
West Bengal · coastal North India East India +1 17,512,663 553 Rice , Livestock , Silk , Dye , Opium , Tea , Tobacco , Sugar , Banana 809—9—29—— ——— Bengal Delta, Natural Harbors, Raniganj Coalfield
Chugoku · coastal Northeast Asia Japan 4,077,516 101 Rice , Livestock , Cotton , Silk , Dye , Tea , Tobacco 812—161120—3 ——— Seto Inland Sea
Chukotka · coastal Northeast Asia Russia 13,023 2 Livestock 369———13—3 4—— Arctic Terrain
Gwanbuk · coastal Northeast Asia Korea 1,620,102 40 Rice , Livestock , Cotton , Silk , Tobacco , Opium 9172452421—— ——— —
Gyeonggi · coastal Northeast Asia Korea 2,818,978 70 Rice , Livestock , Cotton , Silk , Tobacco 1262152719—3 ——— —
Hokushin'etsu · coastal Northeast Asia Japan 4,138,700 104 Rice , Livestock , Cotton , Silk , Tobacco , Vineyards —163154106— —7— —
Kamchatka · coastal Northeast Asia Russia 6,000 4 Livestock —15———13—8 2—— —
Kanto · coastal Northeast Asia Japan 5,004,465 117 Rice , Livestock , Cotton , Silk , Tea , Tobacco , Dye —10—3499212 ——— Edo Bay, Kanto Plain
Kyoto · coastal Northeast Asia Japan 1,377,948 44 Rice , Livestock , Cotton , Silk , Tea , Tobacco —10—3—9—— ——— —
Kyushu · coastal Northeast Asia Japan 4,141,707 101 Rice , Livestock , Cotton , Silk , Dye , Tea , Tobacco , Sugar 5218169731— ——— Chikuho Coalfield, Nagasaki Bay
Northern Heilongjiang · coastal Northeast Asia China 82,613 30 Rye , Livestock 206—25—25—— 18—— —
Northern Jilin · coastal Northeast Asia China 76,000 25 Livestock , Rye 1210—162420—— 820— Golden Horn Bay
Okhotsk · coastal Northeast Asia Russia 11,870 2 Livestock 3610———10—5 8—— Arctic Terrain
Osaka · coastal Northeast Asia Japan 3,986,882 95 Rice , Livestock , Cotton , Opium , Silk , Tea , Vineyards , Tobacco , Dye —101—189—6 ——— Nara Basin, Seto Inland Sea
Ryukyu Islands · coastal Northeast Asia Ryukyu +1 310,946 15 Rice , Livestock , Cotton , Tea , Tobacco , Sugar 45————6— ——— Naha Cane Fields
Sakhalin · coastal Northeast Asia Ainu Mosir +4 18,149 10 Livestock 3214—45—11223 —10— —
Shengjing · coastal Northeast Asia China 2,174,006 75 Wheat , Livestock , Cotton , Silk , Tobacco 973—1046812—— —20— Dalian Bay
Shikoku · coastal Northeast Asia Japan 2,319,419 56 Rice , Livestock , Cotton , Silk , Dye , Tea , Tobacco —9—43811—— ——— Seto Inland Sea
Southern Heilongjiang Northeast Asia China 3,089,604 140 Wheat , Livestock , Cotton , Opium , Tobacco 4———534—— ——— Eastern Steppe
Southern Jilin Northeast Asia China 8,819,196 200 Wheat , Livestock , Cotton , Silk , Opium , Tobacco 148—232525—— ——— —
Tohoku · coastal Northeast Asia Japan 3,157,725 80 Rice , Livestock , Cotton , Silk , Tobacco , Vineyards 6152533315515 —4— —
Tokai · coastal Northeast Asia Japan 4,192,918 107 Rice , Livestock , Cotton , Silk , Tea , Tobacco , Vineyards —16——381612— —1— —
Yangho · coastal Northeast Asia Korea 4,552,487 110 Rice , Livestock , Cotton , Tea , Silk , Tobacco 58——11762 ——— Honam Plain
Yangseo · coastal Northeast Asia Korea 3,612,828 100 Rice , Livestock , Cotton , Silk , Tobacco , Opium 178536157—— ——— —
Yeongnam · coastal Northeast Asia Korea 3,597,837 85 Rice , Livestock , Cotton , Tea , Silk , Tobacco 611—5127—7 ——— —
Yezo · coastal Northeast Asia Ezochi +1 62,435 25 Wheat , Livestock 5915—479228 4—— Ishikari Coalfield, Great Ishikari Marsh
Åland · coastal Northern Europe Finland 27,000 2 Rye , Livestock —2———2—— ——— —
East Karelia · coastal Northern Europe Russia 169,012 10 Rye , Livestock —5—25—30—— ——— Scandinavian Forests
Eastern Norway · coastal Northern Europe Norway 352,800 20 Rye , Livestock —5—18—22—— ——— Christianiafjorden, Kongsberg
Götaland · coastal Northern Europe Sweden 809,308 35 Rye , Livestock —15—15—25—— ——— Scandinavian Forests
Gotland · coastal Northern Europe Sweden 33,208 3 Rye , Livestock —3———2—— ——— Good Soils
Greenland · coastal Northern Europe Denmark 11,174 3 Livestock —3—————5 ——— Arctic Whaling
Iceland · coastal Northern Europe Denmark 63,720 5 Rye , Livestock —3————205 ——— Arctic Whaling
Jutland · coastal Northern Europe Denmark 548,908 35 Rye , Livestock —10———6—— ——— Good Soils
Kola · coastal Northern Europe Russia 6,274 2 Livestock —10—85—2510— ——— Scandinavian Forests
Kuopio Northern Europe Finland 302,939 25 Rye , Livestock ———11—42—— ——— Scandinavian Forests
Norrland · coastal Northern Europe Sweden 327,400 22 Livestock —12—100—60—— ——— Malmberget, Scandinavian Forests
Northern Norway · coastal Northern Europe Norway 337,260 20 Livestock —10—18—242010 ——— North Sea Fishing, Arctic Whaling, Trondhjemsfjorden
Ostrobothnia · coastal Northern Europe Finland 202,000 15 Rye , Livestock —10——525—— ——— Scandinavian Forests
Oulu · coastal Northern Europe Finland 125,000 8 Livestock —10—45—56—— ——— Scandinavian Forests
Scania · coastal Northern Europe Sweden 513,060 20 Rye , Livestock 810———10—— ——— Scanian Soils, Natural Harbors
Svealand · coastal Northern Europe Sweden 1,114,208 30 Rye , Livestock —11—601845—— ——— Bergslagen, Scandinavian Forests, Natural Harbors
Uusimaa · coastal Northern Europe Finland 538,275 32 Rye , Livestock —8—5536—— ——— Scandinavian Forests
West Karelia · coastal Northern Europe Finland 249,000 22 Rye , Livestock —2—18—28—— ——— Scandinavian Forests
Western Norway · coastal Northern Europe Norway 546,800 20 Rye , Livestock —15———2220— ——— North Sea Fishing, Hardangerfjorden
Zealand · coastal Northern Europe Denmark 656,796 25 Rye , Livestock —12———4—— ——— Øresund, Odensefjorden
Bougainville · coastal Oceania Halia 48,000 5 Rice , Coffee , Banana —2———2—2 ——— Severe Malaria
East Micronesia · coastal Oceania Micronesia 24,224 5 Rice , Banana —3———2—3 ——— Severe Malaria
Fiji · coastal Oceania Fiji 82,000 5 Rice , Coffee , Banana —4———2—4 ——— Severe Malaria
Hawaiian Islands · coastal Oceania Hawaii 192,104 15 Rice , Livestock , Coffee , Cotton , Tea , Tobacco , Sugar , Banana —8—12—14—10 ——— Sandalwood Forestry, Volcanic Fertility
Kanak · coastal Oceania Kanak 56,004 5 Rice , Coffee , Banana —3——82—— ——— New Caledonian Nickel, Severe Malaria
Nauru · coastal Oceania Nauru 1,251 5 Rice , Coffee , Banana —3———2123 ——— Severe Malaria
New South Wales · coastal Oceania New South Wales +6 213,288 40 Wheat , Livestock , Cotton , Tea , Sugar , Vineyards 808—36247—4 1230— Great Dividing Range, Murray–Darling Basin, Natural Harbors
North Island · coastal Oceania United Tribes +2 93,004 30 Wheat , Livestock 288—27—11—3 4—— —
Northern Territory · coastal Oceania Arnhem +9 104,599 10 Livestock , Cotton —6———5—2 ——— Australian Desert
Queensland · coastal Oceania Pama +8 97,375 20 Wheat , Livestock , Cotton , Tea , Sugar —12—45455—3 ——— Great Dividing Range
Solomon Islands · coastal Oceania Bilua 52,400 5 Rice , Coffee , Banana —3———2—2 ——— Severe Malaria
South Australia · coastal Oceania Kaurna +7 132,839 40 Wheat , Livestock , Vineyards —8—3036—602 ——— Australian Desert, Copper Coast
South Island · coastal Oceania Ngāi Tahu +1 76,428 30 Wheat , Livestock —10———7—4 6—— —
Tahiti · coastal Oceania Tahiti 169,564 10 Rice , Banana —5———4—8 ——— Severe Malaria
Tasmania · coastal Oceania Tasmania 41,400 15 Wheat , Livestock , Cotton , Tea , Sugar , Opium —6—15158—2 6—— Tasmanian Rainforest
Tonga · coastal Oceania Tonga 40,000 5 Rice , Banana —3———2—4 ——— Severe Malaria
Vanuatu · coastal Oceania Vanuatu 92,000 5 Rice , Coffee , Banana —3———2—— ——— Severe Malaria
Victoria · coastal Oceania New South Wales +2 98,715 40 Wheat , Livestock , Cotton , Tea , Sugar , Vineyards —8———11243 6—— —
West Micronesia · coastal Oceania Micronesia +1 33,218 5 Rice , Banana —3———2—3 ——— Severe Malaria
Western Australia · coastal Oceania Western Australia +7 117,902 36 Wheat , Livestock , Vineyards 409—30—6—3 8—— Australian Desert
Alaska · coastal Pacific Coast Athabaska +1 58,028 20 Livestock 3210———90—8 12—— Yukon River Salmon Run, Arctic Terrain
Arizona Pacific Coast Navajo +2 49,004 40 Wheat , Livestock , Cotton ———21—2—— 5—— —
California · coastal Pacific Coast Mexico 63,996 300 Wheat , Livestock , Cotton , Vineyards —14—33—45406 1280— Central Valley, Northern California Coastal Forests
Idaho Pacific Coast Nimíipuu +2 64,000 60 Wheat , Livestock —————16—— ——— Rocky Mountains
Nevada Pacific Coast Mexico +1 28,000 40 Livestock ———24—4—— 15—— Great Basin Desert
Northern Columbia · coastal Pacific Coast Oregon +2 90,596 40 Wheat , Livestock 289———90366 8—— Rocky Mountains, Columbia River
Oregon · coastal Pacific Coast Oregon 24,848 200 Wheat , Livestock , Vineyards —5———50—3 ——— Columbia River, Cascades
Southern Columbia · coastal Pacific Coast Oregon 22,000 180 Wheat , Livestock , Vineyards 326———40—3 ——— Columbia River, Cascades
Utah Pacific Coast Ute +2 20,000 50 Maize , Livestock ———30—6—— —20— Wasatch Range
Yukon Territory Pacific Coast Athabaska +1 12,000 20 Livestock ———15—25—— 12—— Northern Canadian Terrain
Arkhangelsk · coastal Russia Russia 238,520 15 Rye , Livestock —102——14—— 8—— Russian Taiga Forests
Astrakhan Russia Russia 264,795 45 Rice , Livestock , Tobacco , Vineyards ———30—630— —30— Volga River, Western Steppe
Cheboksary Russia Russia 555,443 45 Rye , Livestock —————2515— —24— Volga River
Dagestan Russia Chechnya +1 371,129 25 Wheat , Livestock , Cotton , Tea , Vineyards —————10—— —30— Caucasus Mountain Range
Ingria · coastal Russia Russia 976,262 50 Rye , Livestock —10———25—— ——— Russian Taiga Forests, Kotlin Island
Kalmykia Russia Russia 125,762 8 Livestock , Wheat —————3—— —10— Western Steppe
Kazan Russia Russia 1,109,562 85 Rye , Livestock 30————12—— —60— Volga River
Kuban · coastal Russia Circassia +1 1,020,200 105 Wheat , Livestock , Cotton , Tea , Tobacco , Vineyards 107—102735—— —30— Western Steppe, Black Soil
Kursk Russia Russia 2,189,913 115 Rye , Livestock ———93—3112— 3—— Don River, Black Soil
Moscow Russia Russia 1,239,301 60 Rye , Livestock 60——30—34—— ——— Volga River, Russian Taiga Forests
Nenetsia · coastal Russia Russia 31,074 5 Livestock 3012———13—— —30— Arctic Terrain
Nizhny Novgorod Russia Russia 1,582,933 80 Rye , Livestock ———25—24—— ——— Volga River, Russian Taiga Forests
North Caucasus Russia Russia +2 379,178 25 Wheat , Livestock 16——12—25—— 425— Caucasus Mountain Range
Novgorod Russia Russia 820,118 70 Rye , Livestock 24————40—— ——— Russian Taiga Forests
Perm Russia Russia 777,777 70 Rye , Livestock 80——75—35—— —60— Russian Taiga Forests, Uralic Iron Ore Deposits
Pskov Russia Russia 706,885 52 Rye , Livestock —————24—— ——— Russian Taiga Forests
Rostov · coastal Russia Russia 631,680 125 Wheat , Livestock , Cotton , Vineyards 108————7—— ——— Don River, Western Steppe, Black Soil
Ryazan Russia Russia 1,243,172 65 Rye , Livestock 21————28—— ——— —
Samara Russia Russia +1 1,763,287 95 Rye , Livestock 30——5—915— —90— Volga River, Western Steppe
Saratov Russia Russia 1,189,294 90 Rye , Livestock ———15—16—— —15— Volga River, Western Steppe, Black Soil
Smolensk Russia Russia 1,029,741 62 Rye , Livestock 8————24—— ——— Russian Taiga Forests
Stavropol Russia Russia 508,282 100 Wheat , Livestock , Cotton , Tea , Tobacco —————14—— —30— Western Steppe, Black Soil
Tambov Russia Russia 2,644,279 155 Rye , Livestock ———10—35—— ——— Black Soil
Tula Russia Russia 3,356,122 180 Rye , Livestock 58——16—72—— ——— —
Tver Russia Russia 1,232,108 68 Rye , Livestock 8————36—— ——— Russian Taiga Forests, Volga River
Ufa Russia Russia 369,535 75 Rye , Livestock 10——251625—— —35— Uralic Iron Ore Deposits
Vologda Russia Russia 746,504 70 Rye , Livestock 72——12—48—— —20— Russian Taiga Forests
Vyatka Russia Russia 1,512,000 115 Rye , Livestock 15————3610— —25— Russian Taiga Forests
Yaroslavl Russia Russia 3,010,095 185 Rye , Livestock ———6—67—— ——— Volga River, Russian Taiga Forests
Altai Siberia China 31,000 10 Livestock ———71218—— 3—— —
Buryatia Siberia Russia 175,587 15 Rye , Livestock 24——10—16—— 16—— —
Chelyabinsk Siberia Russia +2 509,133 42 Rye , Livestock 25—395—16—— 9—— Uralic Iron Ore Deposits
Chita Siberia Russia 195,147 36 Rye , Livestock 80——33282444— —10— —
Irkutsk Siberia Russia 261,360 30 Rye , Livestock 50——36—30—— —10— Angara River
Kolyma Siberia Russia 41,821 4 Livestock 8————10—— 16—— Arctic Terrain
Krasnoyarsk Siberia Russia 196,440 45 Rye , Livestock 40——15—60—— 12—— Yenisei River
Ob Siberia Russia 5,917 2 Livestock 20————22—— —60— Arctic Terrain, Ob River
Surgut Siberia Russia 12,058 4 Rye , Livestock —————32—— —120— Ob River
Tobolsk Siberia Russia 417,044 53 Rye , Livestock 44——10—30—— —60— Western Steppe, Irtysh River
Tomsk Siberia Russia 361,800 90 Rye , Livestock 85——27—26—— ——— Western Steppe, Ob River, Kuznetsk Basin
Tuva Siberia China 49,000 15 Rye , Livestock 44——18—14—— ——— Eastern Steppe, Yenisei River
Upper Yeniseysk Siberia Russia 35,190 10 Livestock 15——10—48—— ——— Arctic Terrain, Yenisei River
Ural Siberia Russia 377,804 60 Rye , Livestock 84—2968127—— 6—— Uralic Iron Ore Deposits
Yakutsk Siberia Russia 146,758 14 Livestock 36———1623—— 85— Arctic Terrain
Chongqing South China China 20,092,808 500 Rice , Livestock , Silk , Tea , Tobacco , Vineyards , Opium 36————9—— —10— Yangtze River, Red Basin
Eastern Guangdong · coastal South China China 8,913,992 200 Rice , Livestock , Silk , Dye , Tea , Tobacco , Banana —10—36—11—— ——— Natural Harbors
Eastern Hubei South China China 13,524,896 320 Rice , Livestock , Cotton , Silk , Tea , Tobacco —————8—— ——— Yangtze River
Formosa · coastal South China China 2,901,500 80 Rice , Livestock , Cotton , Tea , Tobacco , Banana 613———7—— —6— —
Fujian · coastal South China China 16,324,832 400 Rice , Livestock , Silk , Dye , Tea , Tobacco , Opium —10———16—— ——— —
Guangxi South China China 14,938,908 400 Rice , Livestock , Silk , Dye , Tea , Tobacco , Banana —————9—— ——— Pearl River
Guizhou South China China 4,638,128 110 Rice , Livestock , Dye , Opium , Tea , Tobacco 32————26—— ——— Pearl River
Hunan South China China 13,399,992 330 Rice , Livestock , Cotton , Silk , Tea , Tobacco —————1844— ——— Yangtze River
Jiangxi South China China 24,213,496 600 Rice , Livestock , Cotton , Silk , Tea , Tobacco 52————15—— ——— Yangtze River
Nanjing South China China 11,132,284 360 Rice , Livestock , Cotton , Silk , Tea , Tobacco —————5—— ——— Yangtze River
Sichuan South China China 14,003,796 330 Rice , Livestock , Opium , Tea , Tobacco , Vineyards 60————2340— ——— Yangtze River, Red Basin
Southern Anhui South China China 22,832,408 550 Rice , Livestock , Cotton , Silk , Tea , Tobacco 40————14—— ——— Yangtze River
Suzhou · coastal South China China 17,672,008 400 Rice , Livestock , Cotton , Silk , Tea , Tobacco —5———5—— ——— Yangtze River, Natural Harbors
Western Guangdong · coastal South China China +1 13,010,388 330 Rice , Livestock , Silk , Dye , Tea , Tobacco , Banana —14———8—— ——— Pearl River, Natural Harbors
Western Hubei South China China 13,150,000 320 Rice , Livestock , Cotton , Silk , Tea , Tobacco —————9—— ——— Yangtze River
Yunnan South China China 6,238,388 150 Rice , Livestock , Opium , Tea , Tobacco , Vineyards 40——60—17—— ——— Yangtze River
Zhejiang · coastal South China China 9,473,000 250 Rice , Livestock , Silk , Tea , Tobacco —11———20—— ——— —
Bombay · coastal South India East India +3 13,509,260 400 Rice , Livestock , Coffee , Cotton , Dye , Tobacco , Sugar , Banana , Silk , Vineyards 1212323—17—— ——— Natural Harbors, Western Ghats
Carnatic · coastal South India East India +3 8,834,739 375 Rice , Livestock , Coffee , Cotton , Dye , Tea , Tobacco , Sugar , Banana , Silk —18—26—20—— ——7 Cauvery Delta, Natural Harbors, Western Ghats
Ceded Districts South India East India +1 1,741,520 63 Rice , Livestock , Cotton , Tobacco , Sugar , Dye , Banana , Silk ———15—9—— ——— —
Ceylon · coastal South India Ceylon +2 1,258,836 30 Rice , Livestock , Coffee , Cotton , Dye , Tea , Tobacco , Sugar , Banana —13———11—— ——12 Galle Harbor
Hyderabad South India Hyderabad 8,549,837 250 Rice , Livestock , Cotton , Dye , Opium , Tobacco , Sugar , Banana , Silk 6——4—16—— ——— —
Malabar · coastal South India East India +2 2,675,454 120 Rice , Livestock , Coffee , Cotton , Dye , Tea , Tobacco , Sugar , Banana —10——311—— ——8 Western Ghats
Mysore · coastal South India Mysore +1 4,333,983 210 Rice , Livestock , Coffee , Cotton , Dye , Tea , Tobacco , Sugar , Banana , Silk —5624—14—— ——6 Western Ghats
Northern Circars · coastal South India East India +1 3,346,775 181 Rice , Livestock , Cotton , Dye , Tea , Tobacco , Sugar , Banana , Silk 418—3—11—— ——— —
Botswana Southern Africa Tswana +2 94,560 40 Millet , Livestock 48————5—— ——— Severe Malaria
Cape Colony · coastal Southern Africa South Africa +1 451,604 50 Wheat , Livestock , Cotton , Tea , Vineyards —10———8—4 ——— Natural Harbors
Eastern Cape · coastal Southern Africa Xhosa +1 268,396 60 Wheat , Livestock , Cotton , Tea , Banana , Vineyards 568———9—— ——— —
Hereroland · coastal Southern Africa Herero +2 193,436 40 Livestock 406———2—— ——— Severe Malaria
Namaqualand · coastal Southern Africa Nama +1 64,000 30 Livestock 327———4—— ——— Severe Malaria
Northern Cape Southern Africa Tswana +3 281,004 40 Wheat , Livestock , Cotton , Tea ———33—2—— 8—— —
Transorangia Southern Africa Oranje +2 101,600 40 Millet , Livestock , Cotton , Tea , Banana , Vineyards 60——30—7—— 16—— —
Transvaal Southern Africa Pedi +4 841,388 50 Millet , Livestock , Cotton , Tea , Banana , Vineyards 104——60—5—— 12—— Malaria, Waterberg Coalfield
Zululand · coastal Southern Africa Zulu +1 409,896 40 Millet , Livestock , Cotton , Tea , Banana , Vineyards 725———11—— ——— Malaria
Abruzzo · coastal Southern Europe Two Sicilies 660,448 25 Wheat , Livestock , Cotton , Sugar , Vineyards —7———9—— ——— —
Alentejo · coastal Southern Europe Portugal 457,012 25 Wheat , Livestock , Banana , Vineyards 46—16—222— ——— Tagus River
Apulia · coastal Southern Europe Two Sicilies 1,284,392 60 Wheat , Livestock , Cotton , Sugar , Vineyards —14———4—— ——— Terra Rossa
Aquitaine · coastal Southern Europe France 1,844,177 90 Wheat , Livestock , Vineyards 7011———14—— ——— —
Aragon Southern Europe Spain +1 734,685 34 Wheat , Livestock , Vineyards 18——5—8—— ——— —
Asturias · coastal Southern Europe Spain 438,563 21 Maize , Livestock 72725—5—— ——— Cuencas Mineras
Auvergne-Limousin Southern Europe France 2,327,887 110 Wheat , Livestock , Vineyards 56——15—8—— ——— —
Azores · coastal Southern Europe Portugal 210,532 6 Wheat , Coffee , Cotton , Sugar , Banana , Tea , Vineyards —5———2—5 ——— Volcanic Fertility
Balearic Islands · coastal Southern Europe Spain 231,268 11 Wheat , Livestock , Cotton , Tobacco , Vineyards —5———2—— ——— Port Mahon
Basque Country · coastal Southern Europe Carlist Spain 523,140 42 Maize , Livestock , Vineyards 410—65311—1 ——— Somorrostro Valley, Great Terroir
Beira · coastal Southern Europe Portugal 1,106,122 65 Wheat , Livestock , Cotton , Tobacco , Banana , Vineyards —42365—— ——— Great Terroir
Calabria · coastal Southern Europe Two Sicilies 882,848 30 Wheat , Livestock , Cotton , Sugar , Vineyards 1612—24—7—— ——— —
Campania · coastal Southern Europe Two Sicilies 2,557,396 90 Wheat , Livestock , Cotton , Silk , Sugar , Vineyards —10———11—— ——— —
Canary Islands · coastal Southern Europe Spain 231,268 7 Wheat , Coffee , Cotton , Dye , Sugar , Tobacco , Vineyards —4———2—— ——— Volcanic Fertility
Cape Verde · coastal Southern Europe Portugal 78,819 4 Wheat , Coffee , Cotton , Sugar —3———2—3 ——— Volcanic Fertility
Catalonia · coastal Southern Europe Spain +1 1,050,622 56 Wheat , Silk , Livestock , Cotton , Tobacco , Vineyards 1412—566—— ——— —
Corsica · coastal Southern Europe France 207,889 10 Livestock , Vineyards —7———6—— ——— —
Emilia · coastal Southern Europe Modena +2 1,228,812 60 Wheat , Livestock , Cotton , Silk , Vineyards —3—24—13—— ——— —
Entre Douro and Minho · coastal Southern Europe Portugal 1,203,012 60 Wheat , Livestock , Vineyards —622637—— ——— Douro Valley, Douro River
Estremadura · coastal Southern Europe Portugal 791,012 30 Wheat , Livestock , Cotton , Tobacco , Banana , Vineyards —8———4—— ——— Tagus River, Tagus Estuary
Extremadura Southern Europe Spain 552,368 34 Wheat , Livestock , Vineyards , Tobacco ———3—134— ——— Tagus River
Galicia · coastal Southern Europe Spain 1,485,255 51 Maize , Livestock , Vineyards —824—5—1 ——— Ria of Ferrol
Guyenne Southern Europe France 1,734,040 90 Wheat , Livestock , Vineyards —————9—— ——— —
Istria · coastal Southern Europe Austria 680,096 25 Wheat , Livestock , Vineyards 4414———5—— ——— Terra Rossa, Gulf of Trieste
Languedoc · coastal Southern Europe France 2,373,128 120 Wheat , Livestock , Cotton , Vineyards —8———6—— ——— —
Lazio · coastal Southern Europe Rome 1,339,464 60 Wheat , Livestock , Cotton , Silk , Vineyards —7———11—— ——— —
Leon Southern Europe Spain 642,921 41 Wheat , Livestock , Vineyards 12——10—7—— ——— Douro River
Lombardy Southern Europe Austria 2,377,392 110 Wheat , Livestock , Cotton , Silk , Vineyards ———27197—— —20— Po River
Lower Andalusia · coastal Southern Europe Spain 1,215,991 67 Wheat , Silk , Livestock , Cotton , Tobacco , Sugar , Vineyards —9—4—444— ——— Guadalquivir River, Bay of Cádiz, Riotinto Basin
Madeira · coastal Southern Europe Portugal 110,202 9 Wheat , Coffee , Cotton , Sugar , Banana , Vineyards —3———2—— ——— Volcanic Fertility
Malta · coastal Southern Europe Great Britain 119,984 5 Wheat , Livestock , Cotton , Sugar —3—————— ——— Natural Harbors
Murcia · coastal Southern Europe Spain 474,306 24 Wheat , Silk , Livestock , Vineyards —627213—— ——— Sierra Minera de Cartagena, Bay of Cartagena
New Castile Southern Europe Spain 1,578,858 51 Wheat , Livestock , Cotton , Sugar , Vineyards 7——3—46— ——— Tagus River
Old Castile · coastal Southern Europe Spain 1,274,098 69 Wheat , Livestock , Cotton , Tobacco , Vineyards 83—5—63— ——— Good Soils, Douro River
Piedmont · coastal Southern Europe Sardinia-Piedmont 2,463,988 90 Rice , Livestock , Cotton , Vineyards 286—45458—— ——— Po River
Provence · coastal Southern Europe France +1 1,263,045 60 Wheat , Livestock , Cotton , Silk , Vineyards —12———7—— ——— Rhone River, Natural Harbors
Rhône Southern Europe France 2,604,767 110 Wheat , Livestock , Cotton , Silk , Vineyards 100——363614—— ——— Rhone River, Loire Coalfield
Romagna · coastal Southern Europe Rome 803,600 40 Wheat , Livestock , Cotton , Vineyards —6———848— ——— —
Sardinia · coastal Southern Europe Sardinia-Piedmont 524,084 15 Wheat , Livestock , Cotton , Vineyards 2010—21211120— ——— —
Savoy Southern Europe Sardinia-Piedmont 468,800 20 Wheat , Livestock , Cotton , Vineyards ———242411—— ——— Alps Mountain Range
Sicily · coastal Southern Europe Two Sicilies 1,647,596 60 Wheat , Livestock , Cotton , Silk , Sugar , Vineyards —10———6100— ——— Sicilian Sulfur Deposits
South Tyrol Southern Europe Austria 491,000 30 Wheat , Livestock , Vineyards —————6—— ——— Alps Mountain Range
Tuscany · coastal Southern Europe Tuscany 1,632,396 60 Wheat , Livestock , Cotton , Silk , Vineyards —5—60—1140— ——— Great Terroir
Umbria · coastal Southern Europe Rome 451,000 20 Wheat , Livestock , Cotton , Vineyards —5—9—7—— ——— —
Upper Andalusia · coastal Southern Europe Spain +1 1,201,926 53 Wheat , Livestock , Cotton , Silk , Tobacco , Sugar , Vineyards —8—7464—— ——— Guadalquivir River
Valencia · coastal Southern Europe Spain 965,789 56 Rice , Livestock , Cotton , Silk , Tobacco , Vineyards 1210—855—— ——— —
Venetia · coastal Southern Europe Austria 1,857,196 70 Wheat , Livestock , Silk , Vineyards 4412———736— ——— Po River, Venetian Lagoon
Acre The Andes Bolivia 16,350 5 Maize , Livestock , Tobacco , Sugar , Banana —————15—— ——15 Amazon Rainforest
Antofagasta · coastal The Andes Bolivia 112,196 10 Livestock —5—30——48— 10—— Andes, Atacama Desert
Arequipa · coastal The Andes South Peru 277,400 25 Maize , Livestock , Coffee , Cotton , Dye , Tobacco , Sugar , Banana , Vineyards —5—21—432— ——— Andes
Cajamarca · coastal The Andes North Peru 306,500 60 Maize , Livestock , Coffee , Cotton , Dye , Tobacco , Sugar , Banana 207———6—3 420— Andes
Ecuador · coastal The Andes Ecuador 928,725 50 Maize , Livestock , Coffee , Cotton , Dye , Tobacco , Sugar , Banana 286—30—14—4 ——12 Andes, La Costa
Ica · coastal The Andes South Peru +1 406,708 50 Maize , Livestock , Coffee , Cotton , Dye , Tobacco , Sugar , Banana , Vineyards —4—36—1132— ——— Andes
Jujuy The Andes Bolivia +1 72,404 50 Maize , Livestock , Coffee , Dye , Tobacco , Sugar ——336188—— ——— Gran Chaco
La Paz The Andes Bolivia 856,996 120 Rice , Livestock , Coffee , Dye , Tobacco , Sugar , Banana , Vineyards ——4——20—— —508 —
Lima · coastal The Andes North Peru 504,100 40 Maize , Livestock , Coffee , Cotton , Dye , Tobacco , Sugar , Banana , Vineyards —76213011285 ——— Andes, Chincha Islands
Pastaza The Andes North Peru +1 92,900 30 Maize , Livestock , Coffee , Dye , Sugar , Banana , Tobacco 28————25—— —2015 Amazon Rainforest
Potosí The Andes Bolivia 159,996 20 Rice , Livestock , Coffee , Dye , Tobacco , Banana ——4—129—— ——— Andes
Santa Cruz The Andes Bolivia 171,000 100 Rice , Livestock , Coffee , Dye , Tobacco , Banana —————15—— —508 Amazon Rainforest
Tarapacá · coastal The Andes South Peru 52,000 10 Livestock , Dye , Banana —5—18——243 ——— Andes, Atacama Desert, Cordillera de la Costa
Benin · coastal West Africa Benin 1,677,788 100 Millet , Livestock , Coffee , Cotton , Dye , Tobacco , Sugar , Banana 483—36—9—— ——16 Malaria, Niger River
Bornu West Africa Bornu 635,988 60 Millet , Livestock , Coffee , Cotton , Dye , Tobacco , Sugar —————5—— ——— Malaria
Dahomey · coastal West Africa Dahomey +1 609,900 60 Millet , Livestock , Coffee , Cotton , Dye , Tobacco , Sugar , Banana —2———14—— ——22 Malaria
East Hausaland West Africa Sokoto 2,405,378 140 Millet , Livestock , Coffee , Cotton , Dye , Tobacco , Sugar , Banana 72————18—— —5— Malaria
Eastern Mali West Africa Massina 980,100 70 Millet , Livestock , Cotton , Opium , Tobacco ———————— ——— Malaria, Niger River
Gold Coast · coastal West Africa Ashanti +3 767,205 80 Millet , Livestock , Coffee , Cotton , Dye , Tobacco , Sugar , Banana —5———14—— ——22 Malaria
Grain Coast · coastal West Africa Liberia +2 831,861 70 Millet , Livestock , Coffee , Cotton , Dye , Tobacco , Sugar , Banana —7—33—11—— ——20 Malaria
Guinea · coastal West Africa Futa Jallon +4 1,041,701 80 Millet , Livestock , Coffee , Cotton , Dye , Tobacco , Sugar , Banana —10———13—2 ——28 Malaria, Niger River
Hausaland West Africa Sokoto +1 1,505,304 110 Millet , Livestock , Coffee , Cotton , Dye , Tobacco , Sugar , Banana —————23—— —1020 Malaria, Niger River
Inner Mauritania West Africa Tagant +2 63,037 20 Livestock ———27———— —20— Malaria, Sahara Desert
Ivory Coast · coastal West Africa Kong +3 448,012 50 Millet , Livestock , Coffee , Cotton , Dye , Tobacco , Sugar , Banana —5———14—— —522 Malaria
Mauritania · coastal West Africa Trarza +5 337,811 30 Livestock —15—45———3 ——— Malaria, Sahel
Niger West Africa Kel Air +3 145,200 40 Livestock 36———18—24— —50— Malaria, Sahel
Niger Delta · coastal West Africa Igbo 2,346,000 120 Millet , Livestock , Coffee , Cotton , Dye , Tobacco , Sugar , Banana —10———11—— ——22 Malaria, Niger River
Nigeria West Africa Sokoto 576,308 60 Millet , Livestock , Coffee , Cotton , Dye , Tobacco , Sugar , Banana ———454520—— ——24 Malaria
Outer Hausaland West Africa Gobir +2 698,902 60 Millet , Livestock 48————4—— —5— Malaria, Niger River, Sahel
Senegal · coastal West Africa Bundu +9 970,608 120 Millet , Livestock , Cotton , Sugar —10—30——40— ——20 Malaria, Sahel, Cap-Vert
Sierra Leone · coastal West Africa Mandinka +2 156,396 70 Rice , Millet , Livestock , Coffee , Cotton , Dye , Tobacco , Sugar , Banana —6—36—11—— ——28 Malaria
Timbuktu West Africa Massina +5 370,796 40 Livestock 36—————36— —20— Malaria, Sahel, Niger River
Togo · coastal West Africa Ashanti +1 988,004 80 Millet , Livestock , Coffee , Cotton , Dye , Tobacco , Sugar , Banana —12———1144— ——20 Malaria
Volta West Africa Mossi +1 1,539,192 100 Millet , Livestock , Cotton , Dye , Tobacco , Sugar —————4—— ——24 Malaria
Western Mali West Africa Kaarta +1 460,000 50 Millet , Livestock , Cotton , Opium , Tobacco ———————— ——— Malaria, Niger River
Windward Coast · coastal West Africa Kru +2 464,000 70 Millet , Livestock , Coffee , Cotton , Dye , Tobacco , Sugar , Banana —6—24—15—— ——22 Malaria
Yoruba States · coastal West Africa Oyo 1,576,004 100 Millet , Livestock , Coffee , Cotton , Dye , Tobacco , Sugar , Banana —6———6—— ——16 Malaria
Alsace-Lorraine Western Europe France 1,436,128 65 Wheat , Livestock , Vineyards 60——60—17—— ——— Saar Coalfield, Rhine River
Brittany · coastal Western Europe France 2,620,278 120 Wheat , Livestock , Vineyards —15———11—— ——— Loire River
Burgundy Western Europe France 1,576,918 80 Wheat , Livestock , Vineyards ———33—9—— ——— Loire River, Great Terroir
Champagne Western Europe France 1,161,945 80 Wheat , Livestock , Vineyards ———21—11—— ——— Great Terroir
Connaught · coastal Western Europe Great Britain 1,390,481 75 Rye , Livestock —4———748— ——— —
East Anglia · coastal Western Europe Great Britain 1,573,208 40 Rye , Livestock 4012—30—4—— —20— Good Soils, Natural Harbors
Flanders · coastal Western Europe Belgium 2,498,620 90 Wheat , Livestock —5———23—— ——— —
Franche-Comté Western Europe France 934,927 50 Wheat , Livestock , Vineyards ———20—9—— ——— —
French Low Countries · coastal Western Europe France 1,691,071 70 Wheat , Livestock 1006———3—— ——— Good Soils, Nord-Pas-de-Calais Coalfield
Friesland · coastal Western Europe Netherlands 674,072 30 Rye , Livestock —15———2—5 —60— —
Gelre Western Europe Netherlands +1 892,660 40 Rye , Livestock 40————9—— ——— Rhine River
Highlands · coastal Western Europe Great Britain 751,566 30 Rye , Livestock —14———14—6 ——— Scottish Highlands, North Sea Fishing
Holland · coastal Western Europe Netherlands 1,239,464 30 Rye , Livestock —12———4—— ——— Rhine River, Natural Harbors
Home Counties · coastal Western Europe Great Britain 2,805,996 40 Rye , Livestock 4010———6—— ——— Good Soils, London Docklands
Île-de-France Western Europe France 1,882,354 40 Wheat , Livestock , Vineyards —————4—— ——— Seine River, Good Soils
Lancashire · coastal Western Europe Great Britain 2,152,804 45 Rye , Livestock 10015—60459—— —20— Lancashire Coalfield, Natural Harbors
Leinster · coastal Western Europe Great Britain 1,934,493 95 Rye , Livestock —6—33276—— ——— —
Lorraine Western Europe France 1,153,101 55 Wheat , Livestock , Vineyards ———60451740— ——— —
Lowlands · coastal Western Europe Great Britain 1,637,600 60 Rye , Livestock 6012—15—14—— ——— Central Belt Coalfield, North Sea Fishing
Maine-Anjou Western Europe France 1,610,194 112 Wheat , Livestock , Vineyards ———30—11—— ——— Loire River
Midlands · coastal Western Europe Great Britain 2,580,004 80 Rye , Livestock 802—60—640— ——— Black Country
Munster · coastal Western Europe Great Britain 2,348,237 130 Rye , Livestock —12——244—— ——— Golden Vale, Natural Harbors
Normandy · coastal Western Europe France 2,685,132 120 Wheat , Livestock , Vineyards —13—30—8—5 ——— Seine River, Natural Harbors
North Rhine Western Europe Prussia 1,015,728 77 Wheat , Livestock , Vineyards 25——20—7—— ——— Rhine River, Ruhr Coalfield
Orléanais-Berry Western Europe France 1,379,493 70 Wheat , Livestock , Vineyards —————7—— ——— Loire River, Good Soils
Picardy · coastal Western Europe France 1,478,442 80 Wheat , Livestock —1———4—— ——— Good Soils
Poitou-Saintonge · coastal Western Europe France 1,748,194 90 Wheat , Livestock , Vineyards —6———5—— ——— —
Rhineland Western Europe Prussia +1 1,313,984 55 Wheat , Livestock , Vineyards 60———3011—— ——— Rhine River, Great Terroir
Ulster · coastal Western Europe Great Britain 2,351,145 130 Rye , Livestock —11———6—— ——— —
Wales · coastal Western Europe Great Britain 973,196 40 Rye , Livestock 804———14—— ——— South Wales Valleys
Wallonia Western Europe Belgium +1 1,660,177 55 Wheat , Livestock 80——60301730— ——— Borinage Coalfield
West Country · coastal Western Europe Great Britain 1,986,400 60 Wheat , Livestock , Vineyards —9——606—— ——— Natural Harbors
Yorkshire · coastal Western Europe Great Britain 2,090,592 50 Rye , Livestock 1007—75276—— ——— South Yorkshire Coalfield

State traits

Trait Effects States
Alborz Mountains -10% State Construction Efficiency, -20% Infrastructure 1
Alps Mountain Range -15% State Construction Efficiency, -15% Infrastructure 5
Amazon Rainforest +25% Building Hardwood output, -30% State Construction Efficiency, -30% Infrastructure 10
American Chestnut Forests +25% Building Hardwood output 14
Anatolian Plateau +10% Ranches Throughput, -10% Agriculture Throughput, -10% Plantations Throughput 2
Andes -10% State Construction Efficiency, -10% Infrastructure 17
Angara River +20% Building Electricity output, +15 Infrastructure 1
Antarctic Whaling +20% Whaling Industry Throughput 1
Appalachian Coalfields +10% Coal Mines building Throughput 5
Arabian Desert -20% Agriculture Throughput, -20% Plantations Throughput, -25% State Construction Efficiency, -25% Infrastructure 2
Arctic Terrain -10% Ranches Throughput, -20% State Construction Efficiency, -20% Infrastructure, -50% Migration Attraction 8
Arctic Whaling +20% Whaling Industry Throughput 3
Atacama Desert +15% Sulfur Mines building Throughput, -10% Agriculture Throughput, -10% Plantations Throughput, -10% State Construction Efficiency, -10% Infrastructure 2
Atlas Mountains -15% State Construction Efficiency, -15% Infrastructure 4
Australian Desert -10% Ranches Throughput, -20% Agriculture Throughput, -20% Plantations Throughput, -25% State Construction Efficiency, -25% Infrastructure 3
Bam-Narmashir Oasis +20% Dye Plantations building Throughput 1
Bay of Cádiz +10% Shipyards building Throughput, +10% Port building Throughput, +15% Trade Capacity, +5% Market Access Price Impact 1
Bay of Cartagena +10% Shipyards building Throughput, +10% Port building Throughput, +15% Trade Capacity, +5% Market Access Price Impact 1
Bengal Delta +25% Agriculture Throughput, +25% Plantations Throughput 2
Bergslagen +15% Iron Mines building Throughput, +10% Lead Mines building Throughput 1
Black Country +15% Coal Mines building Throughput, +5% Iron Mines building Throughput 1
Black Forest +10% Logging Industry Throughput 2
Black Soil +15% Agriculture Throughput, +15% Plantations Throughput 11
Bone Valley +10% Sulfur Mines building Throughput 1
Borinage Coalfield +10% Coal Mines building Throughput 1
Borneo Rainforest +25% Building Hardwood output, -10% State Construction Efficiency, -10% Infrastructure 3
Brahmaputra River +20 Infrastructure 1
Burmese Teak +25% Building Hardwood output, -10% State Construction Efficiency, -10% Infrastructure 4
Camagüey Plains +10% Ranches Throughput 1
Canadian Prairie +20% Agriculture Throughput, -10% Infrastructure 2
Canales Patagónicos +15% Building Hardwood output, +15% Shipyards building Throughput, +15% Port building Throughput, +25% Trade Capacity, +5% Market Access Price Impact 1
Cap-Vert +20% Port building Throughput, +25% Trade Capacity, +5% Market Access Price Impact 1
Cascades -10% State Construction Efficiency, -10% Infrastructure 2
Caucasus Mountain Range -20% State Construction Efficiency, -20% Infrastructure 3
Cauvery Delta +20% Agriculture Throughput, +20% Plantations Throughput 1
Central American Cordilleras -10% State Construction Efficiency, -10% Infrastructure 6
Central Belt Coalfield +10% Coal Mines building Throughput 1
Central Valley +20% Agriculture Throughput, +20% Plantations Throughput 1
Chao Phraya Delta +15% Agriculture Throughput, +15% Plantations Throughput 1
Chikuho Coalfield +10% Coal Mines building Throughput 1
Chincha Islands +20% Sulfur Mines building Throughput 1
Christianiafjorden +15% Shipyards building Throughput, +15% Port building Throughput, +5% Market Access Price Impact 1
Cobalt Deposits +20% Dye Plantations building Throughput 1
Columbia River +20 Infrastructure 3
Congo River +15 Infrastructure 4
Congolian Rainforest -20% State Construction Efficiency, -20% Infrastructure, +25% Building Hardwood output 5
Copper Coast +10% Lead Mines building Throughput, +10% Iron Mines building Throughput 1
Cordillera de la Costa +15% Shipyards building Throughput, +15% Port building Throughput, +25% Trade Capacity, +5% Market Access Price Impact 3
Cuencas Mineras +10% Coal Mines building Throughput 1
Dalian Bay +10% Shipyards building Throughput, +10% Port building Throughput, +15% Trade Capacity, +5% Market Access Price Impact 1
Danube River +20 Infrastructure, +5% Market Access Price Impact 13
Digboi Oil Fields +10% Oil Extractors Throughput 1
Dnieper River +15 Infrastructure, +5% Market Access Price Impact 5
Don River +20 Infrastructure, +5% Market Access Price Impact 2
Douro River +10 Infrastructure, +3% Market Access Price Impact 3
Douro Valley +10% Vineyards building Throughput 1
Drava River +15 Infrastructure 3
Eastern Steppe +10% Ranches Throughput, -10% Agriculture Throughput, -10% Plantations Throughput 5
Edo Bay +10% Shipyards building Throughput, +10% Port building Throughput, +15% Trade Capacity, +5% Market Access Price Impact 1
Elbe River +15 Infrastructure 4
Euphrates River +20 Infrastructure 7
Floridian Wetlands -15% State Construction Efficiency, -15% Infrastructure 1
Galle Harbor +10% Shipyards building Throughput, +10% Port building Throughput, +15% Trade Capacity, +5% Market Access Price Impact 1
Ganges River +15% Agriculture Throughput, +15% Plantations Throughput, +20 Infrastructure, +5% Market Access Price Impact 4
Gobi Desert -10% Ranches Throughput, -20% Agriculture Throughput, -20% Plantations Throughput, -25% State Construction Efficiency, -25% Infrastructure 1
Golden Horn Bay +10% Shipyards building Throughput, +10% Port building Throughput, +15% Trade Capacity, +5% Market Access Price Impact 1
Golden Vale +10% Agriculture Throughput 1
Good Soils +10% Agriculture Throughput, +10% Plantations Throughput 10
Gran Chaco -10% Logging Industry Throughput, -20% Agriculture Throughput, +30% Ranches Throughput 3
Grand Banks Fisheries +20% Fishing Industry Throughput 1
Great Basin Desert -10% Ranches Throughput, -20% Agriculture Throughput, -20% Plantations Throughput, -25% State Construction Efficiency, -25% Infrastructure 1
Great Dividing Range -10% State Construction Efficiency, -10% Infrastructure 2
Great Ishikari Marsh -10% Agriculture Throughput, -10% Plantations Throughput, -5% Ranches Throughput, +5% Fishing Industry Throughput, -10% Infrastructure 1
Great Lakes +15 Infrastructure 3
Great Plains +20% Agriculture Throughput, +20% Plantations Throughput, +20% Ranches Throughput, -10% Infrastructure 4
Great Terroir +10% Vineyards building Throughput, +10% Building Wine output 6
Guadalquivir River +10% Agriculture Throughput, +10% Plantations Throughput 2
Guantanamo Bay +10% Shipyards building Throughput, +5% Trade Capacity, +5% Market Access Price Impact 1
Gulf of Trieste +10% Shipyards building Throughput, +20% Port building Throughput 1
Halifax Harbor +10% Shipyards building Throughput, +10% Port building Throughput, +15% Trade Capacity, +5% Market Access Price Impact 1
Hamburger Hafen +10% Shipyards building Throughput, +10% Port building Throughput, +15% Trade Capacity, +5% Market Access Price Impact 1
Hardangerfjorden +15% Shipyards building Throughput, +15% Port building Throughput, +20% Building Electricity output, +5% Market Access Price Impact 1
Havana Harbor +10% Shipyards building Throughput, +10% Port building Throughput, +20% Trade Capacity, +5% Market Access Price Impact 1
Himalayan Foothills +25% Tea Plantations building Throughput 2
Himalayas Mountain Range -25% State Construction Efficiency, -25% Infrastructure 4
Honam Plain +5 Infrastructure, +10% Agriculture Throughput 1
Hudson Bay -20% Port building Throughput, -20% Shipyards building Throughput 3
Hyrcanian Forests +20% Building Hardwood output, +10% Logging Industry Throughput 1
Indochinese Forests +10% Logging Industry Throughput, -10% State Construction Efficiency, -10% Infrastructure 6
Indus River +20 Infrastructure, +5% Market Access Price Impact 5
Indus Valley +20% Agriculture Throughput, +20% Plantations Throughput 2
Irrwaddy Delta +15% Agriculture Throughput, +15% Plantations Throughput 1
Irtysh River +20 Infrastructure, +5% Market Access Price Impact 2
Ishikari Coalfield +10% Coal Mines building Throughput 1
Isle of Syros +20% Shipyards building Throughput, +20% Port building Throughput, +25% Trade Capacity, +5% Market Access Price Impact 1
Jharia-Dhanbad Coalfield +10% Coal Mines building Throughput 1
Kaiping Coalfield +10% Coal Mines building Throughput 1
Kanto Plain +15 Infrastructure, +10% Agriculture Throughput 1
Kapuas River +15 Infrastructure 1
Khouribga Basin +10% Sulfur Mines building Throughput 1
Kingston Harbor +10% Shipyards building Throughput, +10% Port building Throughput, +15% Trade Capacity, +5% Market Access Price Impact 1
Kongsberg +20% Iron Mines building Throughput 1
Kotlin Island +15% Shipyards building Throughput, +20% Port building Throughput, +5% Market Access Price Impact 1
Krka Falls +15% Building Electricity output 1
Kuznetsk Basin +10% Coal Mines building Throughput 1
La Costa +10% Agriculture Throughput, +10% Plantations Throughput 1
Lake Maracaibo +20% Oil Extractors Throughput, +15 Infrastructure 1
Lake Victoria +20 Infrastructure 3
Lancashire Coalfield +10% Coal Mines building Throughput 1
Loess Plateau +15% Agriculture Throughput, +15% Plantations Throughput 2
Loire Coalfield +10% Coal Mines building Throughput 1
Loire River +15 Infrastructure 4
London Docklands +15% Shipyards building Throughput, +15% Port building Throughput, +25% Trade Capacity, +5% Market Access Price Impact 1
Malaria -90% Colony Growth Speed in non-Homeland States, +15% Mortality in non-Homeland States 50
Malmberget +20% Iron Mines building Throughput 1
Manila Bay +10% Shipyards building Throughput, +10% Port building Throughput, +15% Trade Capacity, +5% Market Access Price Impact 1
Mascarene Plateau +10% Fishing Industry Throughput 1
Mata Atlântica +15% Sugar Plantations building Throughput 6
Mekong Delta +15% Agriculture Throughput, +15% Plantations Throughput 1
Mekong River +20 Infrastructure 2
Mesopotamian Floodplain +20% Agriculture Throughput, +20% Plantations Throughput 2
Mississippi River +20 Infrastructure, +5% Market Access Price Impact 8
Mitidja Plain +15% Agriculture Throughput, +15% Plantations Throughput 1
Mokta El Hadid +20% Iron Mines building Throughput 1
Mount Lebanon -5% State Construction Efficiency, -5% Infrastructure, +15% Silk Plantations building Throughput 1
Murray–Darling Basin +10% Ranches Throughput, +10% Agriculture Throughput, +10% Plantations Throughput 1
Nagasaki Bay +10% Shipyards building Throughput, +10% Port building Throughput, +15% Trade Capacity, +5% Market Access Price Impact 1
Naha Cane Fields +10% Sugar Plantations building Throughput 1
Nara Basin +10 Infrastructure, +10% Rice Farms building Throughput 1
Natural Harbors +10% Shipyards building Throughput, +10% Port building Throughput, +15% Trade Capacity, +5% Market Access Price Impact 35
New Caledonian Nickel +10% Lead Mines building Throughput 1
New England Whaling +20% Whaling Industry Throughput 5
New York Harbor +10% Shipyards building Throughput, +10% Port building Throughput, +15% Trade Capacity, +5% Market Access Price Impact 1
Newark Harbor +10% Shipyards building Throughput, +10% Port building Throughput, +15% Trade Capacity, +5% Market Access Price Impact 1
Niagara Falls +20% Building Electricity output 2
Niger River +15 Infrastructure 8
Nile River +20% Agriculture Throughput, +20% Plantations Throughput, +20 Infrastructure, +5% Market Access Price Impact 5
Nord-Pas-de-Calais Coalfield +10% Coal Mines building Throughput 1
North Sea Fishing +20% Fishing Industry Throughput 4
Northern California Coastal Forests +20% Logging Industry Throughput, -10% State Construction Efficiency 1
Northern Canadian Terrain -20% Agriculture Throughput, -20% State Construction Efficiency, -20% Infrastructure, -50% Migration Attraction 3
Ob River +15 Infrastructure 3
Odensefjorden +15% Shipyards building Throughput, +15% Port building Throughput, +5% Market Access Price Impact 1
Oder River +15 Infrastructure 4
Ohio River +20 Infrastructure 4
Øresund +15% Trade Capacity, +20 Infrastructure 1
Pampas +20% Ranches Throughput, +15% Agriculture Throughput, +15% Plantations Throughput 5
Pannonian Plain +10% Agriculture Throughput, +10% Ranches Throughput 5
Pantanal +15% Agriculture Throughput, +15% Plantations Throughput, -10% Infrastructure 1
Paraguay River +20 Infrastructure 2
Paraná River +20 Infrastructure 4
Pearl River +15 Infrastructure 3
Po River +15 Infrastructure 3
Pontus +10% Agriculture Throughput, +10% Plantations Throughput, +10% Tea Plantations building Throughput 2
Port Mahon — 1
Quang Yen Coalfield +10% Coal Mines building Throughput 1
Raniganj Coalfield +15% Coal Mines building Throughput 1
Recôncavo +15% Tobacco Plantations building Throughput 1
Red Basin +15% Agriculture Throughput, +15% Plantations Throughput 2
Rhine River +20 Infrastructure, +5% Market Access Price Impact 9
Rhone River +15 Infrastructure 2
Ria of Ferrol +10% Shipyards building Throughput, +10% Port building Throughput, +15% Trade Capacity, +5% Market Access Price Impact 1
Rio Grande +20 Infrastructure 4
Riotinto Basin +10% Sulfur Mines building Throughput 1
Rocky Mountains -20% State Construction Efficiency, -20% Infrastructure 6
Ruhr Coalfield +10% Coal Mines building Throughput 3
Russian Taiga Forests +20% Logging Industry Throughput 14
Saar Coalfield +10% Coal Mines building Throughput 1
Sahara Desert -10% Ranches Throughput, -20% Agriculture Throughput, -20% Plantations Throughput, -25% State Construction Efficiency, -25% Infrastructure 8
Sahel +10% Ranches Throughput, -10% Agriculture Throughput, -10% Plantations Throughput 8
Sandalwood Forestry +25% Building Hardwood output 1
Sarawak River +15 Infrastructure 1
Saronic Gulf +10% Shipyards building Throughput, +10% Port building Throughput, +15% Trade Capacity, +5% Market Access Price Impact 1
Scandinavian Forests +20% Logging Industry Throughput 10
Scanian Soils +15% Agriculture Throughput 1
Scottish Highlands -10% Infrastructure, -10% State Construction Efficiency, -10% Agriculture Throughput, +10% Ranches Throughput 1
Seine River +15 Infrastructure 2
Serra Dos Carajás +20% Iron Mines building Throughput 1
Sertão +10% Ranches Throughput, -10% Infrastructure 6
Seto Inland Sea +10% Shipyards building Throughput, +10% Port building Throughput, +15% Trade Capacity, +5% Market Access Price Impact 3
Severe Malaria -95% Colony Growth Speed in non-Homeland States, +25% Mortality in non-Homeland States 26
Sicilian Sulfur Deposits +20% Sulfur Mines building Throughput 1
Sierra Madre Occidental -10% State Construction Efficiency, -10% Infrastructure 4
Sierra Madre Oriental -10% State Construction Efficiency, -10% Infrastructure 6
Sierra Maestra -10% Infrastructure, +10% Coffee Plantations building Throughput, +10% Ranches Throughput, +5% Iron Mines building Throughput, +10% Agriculture Throughput, +10% Plantations Throughput 1
Sierra Minera de Cartagena +15% Lead Mines building Throughput 1
Somorrostro Valley +10% Iron Mines building Throughput 1
South Wales Valleys +10% Coal Mines building Throughput 1
South Yorkshire Coalfield +10% Coal Mines building Throughput 1
St Lawrence River +15 Infrastructure 1
Tagus Estuary +10% Shipyards building Throughput, +10% Port building Throughput, +15% Trade Capacity, +5% Market Access Price Impact 1
Tagus River +15 Infrastructure, +5% Market Access Price Impact 4
Taklamakan Desert -10% Ranches Throughput, -20% Agriculture Throughput, -20% Plantations Throughput, -25% State Construction Efficiency, -25% Infrastructure 1
Tasmanian Rainforest +20% Building Hardwood output, -10% Infrastructure 1
Terra Rossa +10% Vineyards building Throughput, +10% Building Wine output 6
Terra Roxa +10% Coffee Plantations building Throughput 4
The Bosporus +10% Shipyards building Throughput, +10% Port building Throughput, +15% Trade Capacity, +5% Market Access Price Impact 1
Tierra Roja +20% Agriculture Throughput, +20% Plantations Throughput 2
Tigris River +20 Infrastructure 4
Tihamah -10% Agriculture Throughput, -10% Plantations Throughput 1
Trondhjemsfjorden +15% Shipyards building Throughput, +15% Port building Throughput, +20% Building Electricity output, +5% Market Access Price Impact 1
Upper Silesia Coalfield +10% Coal Mines building Throughput 1
Uralic Iron Ore Deposits +20% Iron Mines building Throughput 4
Uruguay River +20 Infrastructure, +10% Ranches Throughput, -20% Plantations Throughput 2
Valle Central +15% Agriculture Throughput, +15% Plantations Throughput 2
Venetian Lagoon +15% Shipyards building Throughput, +10% Port building Throughput, +20% Trade Capacity 1
Volcanic Fertility +20% Agriculture Throughput, +20% Plantations Throughput 13
Volga River +20 Infrastructure, +5% Market Access Price Impact 9
Wasatch Range -10% Infrastructure 1
Waterberg Coalfield +10% Coal Mines building Throughput 1
Western Ghats +10% Coffee Plantations building Throughput 4
Western Steppe +10% Ranches Throughput 15
White Nile +15 Infrastructure 1
Yangtze River +20 Infrastructure, +5% Market Access Price Impact 10
Yellow River +15 Infrastructure, +5% Market Access Price Impact 7
Yemeni Highlands +5% Agriculture Throughput, +5% Ranches Throughput, +15% Plantations Throughput 1
Yenangyaung Oil Fields +10% Oil Extractors Throughput 1
Yenisei River +10 Infrastructure 3
Yukon River Salmon Run +20% Fishing Industry Throughput 1
Zagros Mountains -10% State Construction Efficiency, -10% Infrastructure 6
Zambezi River +15 Infrastructure 4
Zonguldak Basin +10% Coal Mines building Throughput 1

Every state region · open one for its 1836 pops, buildings, and output · discoverable amounts are what prospecting can reveal · sea regions excluded