User:于枋而止列夫子/沙盒:修订间差异

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== 模板测试1 ==
{| class="wikitable"
|Owner Tag
|Country Name
|vp
|States
|Provinces
|population
|MIC
|NIC
|CIC
|Total Factories
|Base Oil
|Base Alum
|Base Rub
|Base Tung
|Base Steel
|Base Chrom
|Total Resources
|Air base
|Naval base
|-
|AFG
|Afghanistan
|8
|2
|33
|6,277,654
|1
|0
|2
|3
|0
|0
|0
|3
|0
|0
|3
|0
|0
|-
|ALB
|Albania
|9
|2
|12
|1,004,224
|1
|0
|2
|3
|0
|2
|0
|0
|0
|2
|4
|3
|4
|-
|ARG
|Argentina
|14
|6
|86
|11,910,522
|3
|1
|12
|16
|13
|0
|0
|35
|6
|0
|54
|6
|11
|-
|AST
|Australia
|131
|11
|303
|8,116,936
|4
|2
|11
|17
|0
|0
|0
|24
|30
|4
|58
|15
|37
|-
|AUS
|Austria
|66
|3
|39
|6,534,668
|3
|0
|9
|12
|1
|1
|0
|0
|5
|0
|7
|9
|0
|-
|BEL
|Belgium
|91
|7
|65
|19,616,917
|6
|0
|12
|18
|0
|0
|10
|2
|25
|0
|37
|4
|12
|-
|BHU
|Bhutan
|3
|1
|2
|450,549
|1
|0
|2
|3
|0
|0
|0
|2
|0
|0
|2
|0
|0
|-
|BOL
|Bolivia
|5
|2
|25
|2,381,904
|1
|0
|6
|7
|0
|0
|0
|60
|2
|0
|62
|2
|0
|-
|BRA
|Brazil
|48
|12
|156
|40,321,761
|3
|2
|18
|23
|0
|4
|23
|0
|3
|0
|30
|14
|22
|-
|MAL
|British Malaya
|14
|2
|49
|3,787,618
|0
|0
|1
|1
|12
|15
|382
|189
|20
|0
|618
|6
|17
|-
|RAJ
|British Raj
|59
|26
|437
|350,948,580
|2
|1
|14
|17
|8
|1
|22
|212
|38
|40
|321
|21
|29
|-
|BUL
|Bulgaria
|49
|4
|32
|6,085,518
|3
|0
|11
|14
|0
|2
|0
|0
|0
|1
|3
|5
|4
|-
|CHL
|Chile
|11
|3
|31
|4,292,678
|1
|0
|9
|10
|0
|0
|0
|0
|16
|0
|16
|4
|9
|-
|CHI
|China
|127
|22
|353
|340,402,824
|11
|1
|21
|33
|2
|0
|0
|6
|25
|0
|33
|17
|26
|-
|COL
|Colombia
|16
|3
|25
|8,002,747
|1
|0
|7
|8
|15
|0
|0
|0
|0
|0
|15
|6
|6
|-
|PRC
|Communist China
|3
|1
|12
|7,014,752
|3
|0
|3
|6
|0
|0
|0
|3
|3
|0
|6
|0
|0
|-
|COS
|Costa Rica
|3
|1
|3
|504,471
|1
|0
|2
|3
|0
|0
|0
|0
|0
|1
|1
|1
|1
|-
|CUB
|Cuba
|6
|1
|10
|3,612,323
|1
|0
|3
|4
|0
|0
|0
|0
|3
|90
|93
|1
|4
|-
|CZE
|Czechoslovakia
|96
|9
|66
|15,048,248
|9
|0
|16
|25
|2
|0
|0
|1
|26
|3
|32
|13
|0
|-
|DEN
|Denmark
|29
|5
|26
|3,870,838
|2
|2
|7
|11
|0
|6
|0
|0
|0
|0
|6
|8
|19
|-
|DOM
|Dominican Republic
|6
|1
|4
|1,257,533
|1
|0
|3
|4
|0
|0
|0
|0
|0
|1
|1
|1
|2
|-
|CAN
|Dominion of Canada
|79
|15
|258
|10,215,511
|5
|1
|13
|19
|1
|23
|0
|0
|8
|0
|32
|14
|20
|-
|INS
|Dutch East Indies
|15
|8
|203
|60,837,621
|0
|1
|2
|3
|27
|28
|407
|0
|0
|0
|462
|8
|34
|-
|ECU
|Ecuador
|6
|2
|9
|2,013,987
|1
|0
|4
|5
|2
|0
|0
|0
|0
|0
|2
|1
|5
|-
|ELS
|El Salvador
|3
|1
|2
|1,439,366
|1
|0
|2
|3
|0
|0
|0
|0
|0
|1
|1
|1
|1
|-
|EST
|Estonia
|11
|5
|24
|1,108,412
|2
|0
|4
|6
|0
|0
|0
|0
|2
|0
|2
|2
|4
|-
|ETH
|Ethiopia
|7
|1
|22
|10,012,207
|2
|0
|2
|4
|0
|0
|2
|0
|0
|0
|2
|1
|0
|-
|FIN
|Finland
|24
|8
|173
|3,671,569
|3
|1
|7
|11
|0
|0
|0
|0
|10
|2
|12
|5
|11
|-
|FRA
|France
|369
|72
|647
|111,918,104
|8
|10
|35
|53
|0
|209
|59
|27
|461
|108
|864
|108
|113
|-
|GER
|German Reich
|286
|22
|235
|65,546,969
|28
|10
|32
|70
|2
|83
|0
|3
|247
|3
|338
|47
|33
|-
|GXC
|Guangxi Clique
|19
|5
|72
|50,181,582
|3
|0
|6
|9
|0
|0
|0
|49
|53
|12
|114
|6
|8
|-
|GUA
|Guatemala
|3
|1
|4
|1,773,162
|1
|0
|2
|3
|0
|0
|0
|0
|0
|4
|4
|1
|2
|-
|HAI
|Haiti
|5
|1
|3
|2,382,905
|1
|0
|2
|3
|0
|0
|0
|0
|0
|2
|2
|1
|3
|-
|HON
|Honduras
|3
|1
|3
|860,811
|1
|0
|2
|3
|0
|0
|0
|0
|0
|1
|1
|1
|2
|-
|PER
|Iran
|51
|12
|88
|12,605,368
|1
|0
|4
|5
|50
|0
|0
|0
|0
|0
|50
|3
|7
|-
|IRQ
|Iraq
|29
|3
|29
|3,353,087
|1
|0
|2
|3
|23
|0
|0
|0
|0
|0
|23
|4
|1
|-
|IRE
|Ireland
|22
|3
|27
|2,969,720
|1
|0
|8
|9
|0
|0
|0
|0
|2
|0
|2
|3
|6
|-
|ITA
|Italy
|187
|25
|217
|43,749,034
|19
|11
|20
|50
|0
|60
|0
|1
|59
|2
|122
|72
|116
|-
|JAP
|Japan
|318
|24
|233
|98,061,289
|16
|15
|25
|56
|3
|4
|0
|36
|72
|52
|167
|42
|91
|-
|GRE
|Kingdom of Greece
|55
|7
|48
|6,274,752
|2
|2
|7
|11
|0
|30
|0
|10
|17
|44
|101
|11
|22
|-
|HUN
|Kingdom of Hungary
|26
|3
|38
|8,694,341
|6
|0
|10
|16
|1
|100
|0
|0
|3
|0
|104
|9
|0
|-
|LAT
|Latvia
|18
|5
|29
|2,924,566
|3
|1
|7
|11
|0
|0
|0
|0
|2
|0
|2
|9
|4
|-
|LIB
|Liberia
|3
|1
|2
|745,909
|1
|0
|1
|2
|0
|0
|6
|0
|0
|0
|6
|0
|2
|-
|LIT
|Lithuania
|15
|5
|24
|2,202,915
|2
|0
|5
|7
|0
|0
|0
|0
|2
|0
|2
|4
|2
|-
|LUX
|Luxembourg
|5
|1
|1
|295,108
|1
|0
|3
|4
|0
|0
|0
|0
|5
|0
|5
|0
|0
|-
|MAN
|Manchukuo
|5
|7
|186
|34,379,917
|3
|0
|2
|5
|0
|7
|0
|0
|27
|0
|34
|5
|3
|-
|MEN
|Mengkukuo
|4
|2
|27
|2,038,485
|0
|0
|1
|1
|0
|0
|0
|0
|0
|0
|0
|0
|0
|-
|MEX
|Mexico
|158
|13
|86
|16,424,054
|3
|2
|8
|13
|34
|0
|0
|8
|10
|0
|52
|9
|22
|-
|MON
|Mongolia
|16
|5
|76
|772,943
|1
|0
|3
|4
|0
|0
|0
|0
|2
|3
|5
|1
|0
|-
|NEP
|Nepal
|3
|1
|7
|5,580,595
|1
|0
|2
|3
|0
|0
|0
|0
|0
|2
|2
|0
|0
|-
|HOL
|Netherlands
|91
|5
|25
|8,174,266
|4
|3
|11
|18
|35
|60
|0
|0
|4
|0
|99
|5
|20
|-
|NZL
|New Zealand
|18
|3
|42
|1,572,164
|1
|0
|4
|5
|0
|0
|0
|4
|0
|0
|4
|4
|7
|-
|NIC
|Nicaragua
|3
|1
|6
|683,834
|1
|0
|2
|3
|0
|0
|0
|0
|0
|1
|1
|1
|1
|-
|NOR
|Norway
|26
|4
|135
|2,930,258
|2
|1
|6
|9
|0
|20
|0
|15
|9
|1
|45
|6
|24
|-
|OMA
|Oman
|3
|1
|9
|369,450
|1
|0
|1
|2
|2
|0
|0
|0
|0
|0
|2
|0
|3
|-
|PAN
|Panama
|6
|1
|5
|468,030
|1
|0
|2
|3
|1
|0
|0
|0
|0
|0
|1
|1
|5
|-
|PAR
|Paraguay
|5
|2
|10
|937,143
|1
|0
|3
|4
|0
|0
|0
|3
|2
|0
|5
|1
|0
|-
|PRU
|Peru
|6
|5
|26
|6,154,503
|1
|0
|8
|9
|14
|0
|0
|2
|0
|0
|16
|5
|5
|-
|PHI
|Philippines
|23
|7
|77
|13,109,984
|1
|0
|5
|6
|0
|0
|1
|0
|0
|0
|1
|6
|10
|-
|POL
|Poland
|134
|18
|149
|31,976,869
|11
|3
|18
|32
|3
|7
|0
|0
|32
|0
|42
|34
|6
|-
|POR
|Portugal
|55
|16
|82
|15,853,234
|2
|3
|12
|17
|0
|0
|2
|200
|0
|20
|222
|5
|27
|-
|ROM
|Romania
|45
|11
|98
|18,074,537
|7
|2
|11
|20
|44
|4
|0
|0
|3
|0
|51
|7
|12
|-
|SAU
|Saudi Arabia
|7
|3
|51
|2,954,644
|1
|0
|1
|2
|3
|0
|0
|0
|0
|0
|3
|0
|11
|-
|SHX
|Shanxi
|3
|3
|40
|13,701,404
|2
|0
|3
|5
|0
|0
|0
|0
|0
|0
|0
|0
|0
|-
|SIA
|Siam
|13
|2
|73
|14,481,756
|1
|0
|5
|6
|0
|0
|48
|2
|0
|0
|50
|3
|3
|-
|SIK
|Sinkiang
|10
|6
|56
|4,365,321
|1
|0
|4
|5
|0
|2
|0
|0
|0
|2
|4
|0
|0
|-
|SAF
|South Africa
|25
|4
|45
|9,753,591
|1
|0
|9
|10
|0
|0
|0
|0
|5
|113
|118
|5
|8
|-
|SOV
|Soviet Union
|578
|143
|2409
|161,571,541
|32
|6
|45
|83
|146
|101
|0
|47
|377
|277
|948
|157
|53
|-
|SPR
|Spain
|151
|26
|246
|25,720,177
|7
|4
|16
|27
|0
|1
|0
|34
|54
|0
|89
|30
|48
|-
|SWE
|Sweden
|40
|7
|207
|6,149,070
|3
|3
|9
|15
|0
|2
|0
|40
|127
|25
|194
|12
|25
|-
|SWI
|Switzerland
|25
|2
|21
|4,071,364
|4
|0
|7
|11
|0
|33
|0
|0
|0
|0
|33
|4
|0
|-
|TAN
|Tannu Tuva
|3
|1
|12
|85,104
|1
|0
|1
|2
|0
|0
|0
|0
|0
|2
|2
|0
|0
|-
|TIB
|Tibet
|5
|3
|21
|3,726,544
|1
|0
|2
|3
|0
|0
|0
|2
|0
|0
|2
|0
|0
|-
|TUR
|Turkey
|234
|21
|177
|16,277,102
|4
|1
|11
|16
|0
|0
|0
|0
|37
|211
|248
|16
|31
|-
|ENG
|United Kingdom
|400
|76
|449
|120,070,199
|14
|19
|33
|66
|18
|88
|67
|28
|219
|129
|549
|105
|182
|-
|USA
|United States
|465
|53
|842
|125,029,601
|10
|22
|129
|161
|680
|176
|0
|137
|505
|1
|1499
|117
|121
|-
|URG
|Uruguay
|5
|1
|13
|1,736,117
|1
|1
|6
|8
|1
|0
|0
|0
|1
|0
|2
|1
|6
|-
|VEN
|Venezuela
|7
|3
|25
|3,160,879
|1
|0
|7
|8
|76
|0
|0
|0
|0
|0
|76
|2
|10
|-
|XSM
|Xibei San Ma
|14
|7
|72
|12,394,211
|1
|0
|5
|6
|0
|0
|0
|1
|0
|0
|1
|0
|0
|-
|YEM
|Yemen
|3
|1
|5
|2,492,539
|1
|0
|1
|2
|1
|0
|0
|0
|0
|0
|1
|0
|1
|-
|YUG
|Yugoslavia
|58
|13
|99
|13,780,622
|3
|1
|14
|18
|0
|100
|0
|0
|3
|90
|193
|9
|5
|-
|YUN
|Yunnan
|13
|2
|25
|12,009,142
|1
|0
|3
|4
|0
|0
|0
|2
|0
|0
|2
|0
|0
|}
|}

2022年3月6日 (日) 12:18的版本

坦克设计

1.11增加了坦克设计器让玩家可以像自定义海军舰艇一样魔改坦克。现在,坦克需要不同的科技解锁模块:装甲科技解锁坦克底盘、引擎和装甲,火炮科技解锁坦克主炮,无线电科技解锁车载无线电,支援连科技解锁火焰喷射器和其他配件。

即使只解锁了最基础的坦克科技,也可以用最基础的模块攒出一辆坦克。

设计基础

由于坦克的造价很低,玩家可以随时更改坦克设计(如果你有足够陆军经验的话)。在攻击、速度、装甲、可靠性、造假、资源等方面进行平衡取舍后,一辆水桶坦克就设计好了。

槽位 主要武器 炮塔 特殊功能
EMI tank small main armament.png EMI tank small main armament.png EMI tank small main armament.png EMI tank small main armament.png EMI tank small main armament.png EMI tank small main armament.png
悬挂 装甲类型 引擎类型 引擎等级 装甲等级
EMI tank small main armament.png EMI tank small main armament.png EMI tank small main armament.png 114 514

模块列表

底盘

底盘列表
类型 年份 基础速度

(km/h)

可靠性 装甲厚度 生产花费生产花费 (仅底盘) 资源
Steel Chromium
轻型坦克 战间期型 1918 4.0 80.0% 5 1.00 1
基础型 1934 4.0 95.0% 10 1.25 1
改进型 1936 4.5 110.0% 15 1.60 1
先进型 1941 5.0 130.0% 20 2.00 2
两栖坦克 1938 4.0 110.0% 15 4.50 1
中型坦克 战间期型 1918 4.0 75.0% 25 2.50 1
基础型 1934 4.0 100.0% 35 2.50 1
改进型 1940 4.0 130.0% 45 3.20 1
先进型 1943 4.5 160.0% 50 4.00 2
重型坦克 战间期型 1918 4.0 100.0% 30 10.00 1
基础型 1934 3.5 100.0% 35 10.00 1
改进型 1940 4.0 115.0% 55 10.00 1 1
先进型 1943 4.0 130.0% 75 12.00 2 1
超重型坦克 1943 2.5 130.0% 85 24.00 3 2
现代坦克 1945 4.5 80.0% 75 6.00 2 1

主炮

主炮列表
类型 主炮 大小 前置

科技

年份 速度(km/h) 可靠性 对人员

杀伤

对装甲

杀伤

穿甲

深度

突破 对空

攻击

生产花费生产花费 资源 允许的定位
Steel Chromium Tungsten
加农炮 小型加农炮 火炮 1934 -0.1 -10% 10 6 25 1.50 坦克
改进型 1936 -0.2 -10% 15 15 50 3.00
中型加农炮 火炮或反坦克炮 1939 -0.2 -15% 20 20 60 +2 3.00 1 1 坦克 自行反坦克炮
改进型 火炮 1942 -0.3 -15% 32 20 90 +4 4.00 2 1 1
反坦克炮 1941
重型加农炮 防空炮或反坦克炮 1936 -0.3 -25% 20 20 90 6.00 2 1 1 坦克 自行反坦克炮
改进型 防空炮 1941 -0.4 -25% 25 35 125 7.00 2 2 1
反坦克炮 1942
改进型 防空炮或反坦克炮 1943 -0.5 -30% 30 40 170 8.00 3 3 1
超重型加农炮 巨大 超重型坦克底盘 1943 -0.6 -35% 35 45 275 12.50 5 2 坦克 自行反坦克炮
火焰喷射器 火焰喷射器 工兵连II 1939 -5% 5 0.50 喷火坦克

(支援连)

速射炮 重机枪 5 2 10 0.50 坦克
机关炮 防空炮 1936 -0.1 -10% 15 5 20 1.50 坦克
改进型 1940 -0.1 -10% 20 7 35 2.00
反坦克炮 基础型 高速加农炮 反坦克炮 1936 -0.1 -5% 10 26 85 3.00 2 2 坦克 自行反坦克炮
改进型 1942 -0.3 -17.5% 20 35 125 5.00 2 2 1
改进型 1943 -0.4 -20% 25 45 200 7.00 3 2 1
自行火炮 近距支援炮 火炮 1936 -0.2 -10% 25 5 12 4.00 1 坦克 自行火炮
中型榴弹炮 火炮 1939 -0.3 -20% 35 1 20 -2 4.00 2 1 坦克 自行火炮
改进型 1941 -0.4 -20% 45 2 30 -2 5.50 3 1 1
火箭发射器 火箭炮 1940 -0.1 -10% 25 1 2 -4 4.00 1 2 自行火炮
改进型 1943 -0.2 -10% 35 1 2 -4 5.00 1 2
重型榴弹炮 火炮 1943 -0.5 -30% 55 2 60 -4 7.00 3 1 1 坦克 自行火炮
防空炮 基础型 防空炮 防空炮 1936 -10% 6 2 10 16 2.00 自行防空炮
改进型 1940 -10% 8 5 20 32 3.00 2 1
改进型 1943 -10% 10 5 30 43 4.00 3 1

炮塔

Chassis Turret available
Amphibious Light to Medium
Modern Light to Heavy, Modern
Other (As expected)
炮塔列表
Turret Size Crew Gun size Speed (km/h) 可靠性 Attack 突破 Defense 生产花费生产花费 Notes
Light Fixed super-structure Medium +20% -25% 3 0.75 Forbids AA role
1 Small 7 0.50
2 10 0.75
3 -0.25 14 1.00
Medium Fixed super-structure Large +20% -25% 3 1.50 Forbids AA role
1 Medium Soft and hard -25% 10 1.00
2 16 1.50
3 -0.25 20 2.00
Large Fixed super-structure BFG +20% -25% 3 5.00 Forbids AA role
2 Large 18 5.00
3 -0.25 22 5.50
Superheavy 3 BFG -0.2 -10% Hard -10% 24 10.00
4 -0.5 -25% 35 12.00
Modern Large 24 8.00

特殊功能

无线电
Radio Year 突破 Defense 生产花费生产花费 Notes
Basic 1936 (2nd row) +15% +25% 0.50 Limit of one radio

per vehicle

Intermediate 1938 +30% +45% 1.50
改进型 1940 +45% +65% 2.50
副炮
Secondary turret Speed (km/h) 可靠性 对人员杀伤 Hard attack 装甲厚度 突破 生产花费生产花费
Small Cannon -0.25 -10.0% 5.0 3.0 -5.0% 2.0 2
HMG -5.0% 3.0 1.0 1.0 1
特殊模块
特殊模块列表
Special Module Technology Year 可靠性 对人员杀伤 穿甲深度 装甲厚度 突破 Defense Entrenchment 生产花费生产花费 Resources Notes
Chromium Tungsten
Additional Machineguns 2.0 2.0 0.50
Amphibious Drive Amphibious 1941 -15.0% 2.00 +10.0% Allows amphibous role, forbids any other role

Can only be mounted on light, medium and heavy chassis

Armor Skirts Armor 1936 2.0 3.0 0.50 Limit of one per vehicle
Auto Loader Artillery, 防空炮 or AT 1943 4.0 4.0 2.50 Limit of one per vehicle
Dozer Blade Support Engineer 1939 1 1.00 Limit of one per vehicle
Easy Maintenance Support Maintenance 1939 10.0% Limit of one per vehicle
Extra Ammunition Storage -10.0% 2.0 4.0
Sloped Armor +20.0% +1.0% Limit of one per vehicle
Smoke Launchers 1.0 2.0 0.50
Squeeze-bore Adaptor Anti-tank 1939 +10.0% 1 Limit of one per vehicle
Stabilizer Computing 1940 5.0 2.00
Wet Ammunition Storage 15.0% 1.00 Limit of one per vehicle

悬挂

Module type Module Technology Year 最大速度(km/h) 可靠性 Hardness 突破 生产花费生产花费
Tracked Suspension Bogie Suspension 0
Christie Suspension +20.0% 1
Interleaved Roadwheels -10.0% 4.0 1
Torsion Bar 10.0% 1
Non-tracked Suspension Half-track Suspension Mobile Infantry 1940 -10.0% -20.0% -10%
Wheeled Suspension Trucks 1936 -20.0% -30.0% -5%

装甲

模块类型 模块 前置科技 年份 装甲厚度 突破 防御 生产花费生产花费
装甲类型 铸造装甲 +50.0% 4.0 4.0 +20.0%
铆接装甲 2.0 2.0 -20.0%
焊接装甲 基础装甲保护 1934 +40.0% 2.0 2.0
特殊模块 倾斜装甲 +20.0% +1.0%

引擎

类型 前置科技 年份 最大速度(km/h) 可靠性 突破 防御 燃油使用 生产花费生产花费
柴油引擎 25.0% 2.00 1
燃气涡轮引擎 喷气引擎 1944 0.5,+25% -10.0% 4.00 3
汽油引擎 0.5,+15% 2.00 1
燃油电力引擎 -50.0% 2.0,+15.0% 2.0,+15.0% 2.00 2,+15.0%


模板测试1

Owner Tag Country Name vp States Provinces population MIC NIC CIC Total Factories Base Oil Base Alum Base Rub Base Tung Base Steel Base Chrom Total Resources Air base Naval base
AFG Afghanistan 8 2 33 6,277,654 1 0 2 3 0 0 0 3 0 0 3 0 0
ALB Albania 9 2 12 1,004,224 1 0 2 3 0 2 0 0 0 2 4 3 4
ARG Argentina 14 6 86 11,910,522 3 1 12 16 13 0 0 35 6 0 54 6 11
AST Australia 131 11 303 8,116,936 4 2 11 17 0 0 0 24 30 4 58 15 37
AUS Austria 66 3 39 6,534,668 3 0 9 12 1 1 0 0 5 0 7 9 0
BEL Belgium 91 7 65 19,616,917 6 0 12 18 0 0 10 2 25 0 37 4 12
BHU Bhutan 3 1 2 450,549 1 0 2 3 0 0 0 2 0 0 2 0 0
BOL Bolivia 5 2 25 2,381,904 1 0 6 7 0 0 0 60 2 0 62 2 0
BRA Brazil 48 12 156 40,321,761 3 2 18 23 0 4 23 0 3 0 30 14 22
MAL British Malaya 14 2 49 3,787,618 0 0 1 1 12 15 382 189 20 0 618 6 17
RAJ British Raj 59 26 437 350,948,580 2 1 14 17 8 1 22 212 38 40 321 21 29
BUL Bulgaria 49 4 32 6,085,518 3 0 11 14 0 2 0 0 0 1 3 5 4
CHL Chile 11 3 31 4,292,678 1 0 9 10 0 0 0 0 16 0 16 4 9
CHI China 127 22 353 340,402,824 11 1 21 33 2 0 0 6 25 0 33 17 26
COL Colombia 16 3 25 8,002,747 1 0 7 8 15 0 0 0 0 0 15 6 6
PRC Communist China 3 1 12 7,014,752 3 0 3 6 0 0 0 3 3 0 6 0 0
COS Costa Rica 3 1 3 504,471 1 0 2 3 0 0 0 0 0 1 1 1 1
CUB Cuba 6 1 10 3,612,323 1 0 3 4 0 0 0 0 3 90 93 1 4
CZE Czechoslovakia 96 9 66 15,048,248 9 0 16 25 2 0 0 1 26 3 32 13 0
DEN Denmark 29 5 26 3,870,838 2 2 7 11 0 6 0 0 0 0 6 8 19
DOM Dominican Republic 6 1 4 1,257,533 1 0 3 4 0 0 0 0 0 1 1 1 2
CAN Dominion of Canada 79 15 258 10,215,511 5 1 13 19 1 23 0 0 8 0 32 14 20
INS Dutch East Indies 15 8 203 60,837,621 0 1 2 3 27 28 407 0 0 0 462 8 34
ECU Ecuador 6 2 9 2,013,987 1 0 4 5 2 0 0 0 0 0 2 1 5
ELS El Salvador 3 1 2 1,439,366 1 0 2 3 0 0 0 0 0 1 1 1 1
EST Estonia 11 5 24 1,108,412 2 0 4 6 0 0 0 0 2 0 2 2 4
ETH Ethiopia 7 1 22 10,012,207 2 0 2 4 0 0 2 0 0 0 2 1 0
FIN Finland 24 8 173 3,671,569 3 1 7 11 0 0 0 0 10 2 12 5 11
FRA France 369 72 647 111,918,104 8 10 35 53 0 209 59 27 461 108 864 108 113
GER German Reich 286 22 235 65,546,969 28 10 32 70 2 83 0 3 247 3 338 47 33
GXC Guangxi Clique 19 5 72 50,181,582 3 0 6 9 0 0 0 49 53 12 114 6 8
GUA Guatemala 3 1 4 1,773,162 1 0 2 3 0 0 0 0 0 4 4 1 2
HAI Haiti 5 1 3 2,382,905 1 0 2 3 0 0 0 0 0 2 2 1 3
HON Honduras 3 1 3 860,811 1 0 2 3 0 0 0 0 0 1 1 1 2
PER Iran 51 12 88 12,605,368 1 0 4 5 50 0 0 0 0 0 50 3 7
IRQ Iraq 29 3 29 3,353,087 1 0 2 3 23 0 0 0 0 0 23 4 1
IRE Ireland 22 3 27 2,969,720 1 0 8 9 0 0 0 0 2 0 2 3 6
ITA Italy 187 25 217 43,749,034 19 11 20 50 0 60 0 1 59 2 122 72 116
JAP Japan 318 24 233 98,061,289 16 15 25 56 3 4 0 36 72 52 167 42 91
GRE Kingdom of Greece 55 7 48 6,274,752 2 2 7 11 0 30 0 10 17 44 101 11 22
HUN Kingdom of Hungary 26 3 38 8,694,341 6 0 10 16 1 100 0 0 3 0 104 9 0
LAT Latvia 18 5 29 2,924,566 3 1 7 11 0 0 0 0 2 0 2 9 4
LIB Liberia 3 1 2 745,909 1 0 1 2 0 0 6 0 0 0 6 0 2
LIT Lithuania 15 5 24 2,202,915 2 0 5 7 0 0 0 0 2 0 2 4 2
LUX Luxembourg 5 1 1 295,108 1 0 3 4 0 0 0 0 5 0 5 0 0
MAN Manchukuo 5 7 186 34,379,917 3 0 2 5 0 7 0 0 27 0 34 5 3
MEN Mengkukuo 4 2 27 2,038,485 0 0 1 1 0 0 0 0 0 0 0 0 0
MEX Mexico 158 13 86 16,424,054 3 2 8 13 34 0 0 8 10 0 52 9 22
MON Mongolia 16 5 76 772,943 1 0 3 4 0 0 0 0 2 3 5 1 0
NEP Nepal 3 1 7 5,580,595 1 0 2 3 0 0 0 0 0 2 2 0 0
HOL Netherlands 91 5 25 8,174,266 4 3 11 18 35 60 0 0 4 0 99 5 20
NZL New Zealand 18 3 42 1,572,164 1 0 4 5 0 0 0 4 0 0 4 4 7
NIC Nicaragua 3 1 6 683,834 1 0 2 3 0 0 0 0 0 1 1 1 1
NOR Norway 26 4 135 2,930,258 2 1 6 9 0 20 0 15 9 1 45 6 24
OMA Oman 3 1 9 369,450 1 0 1 2 2 0 0 0 0 0 2 0 3
PAN Panama 6 1 5 468,030 1 0 2 3 1 0 0 0 0 0 1 1 5
PAR Paraguay 5 2 10 937,143 1 0 3 4 0 0 0 3 2 0 5 1 0
PRU Peru 6 5 26 6,154,503 1 0 8 9 14 0 0 2 0 0 16 5 5
PHI Philippines 23 7 77 13,109,984 1 0 5 6 0 0 1 0 0 0 1 6 10
POL Poland 134 18 149 31,976,869 11 3 18 32 3 7 0 0 32 0 42 34 6
POR Portugal 55 16 82 15,853,234 2 3 12 17 0 0 2 200 0 20 222 5 27
ROM Romania 45 11 98 18,074,537 7 2 11 20 44 4 0 0 3 0 51 7 12
SAU Saudi Arabia 7 3 51 2,954,644 1 0 1 2 3 0 0 0 0 0 3 0 11
SHX Shanxi 3 3 40 13,701,404 2 0 3 5 0 0 0 0 0 0 0 0 0
SIA Siam 13 2 73 14,481,756 1 0 5 6 0 0 48 2 0 0 50 3 3
SIK Sinkiang 10 6 56 4,365,321 1 0 4 5 0 2 0 0 0 2 4 0 0
SAF South Africa 25 4 45 9,753,591 1 0 9 10 0 0 0 0 5 113 118 5 8
SOV Soviet Union 578 143 2409 161,571,541 32 6 45 83 146 101 0 47 377 277 948 157 53
SPR Spain 151 26 246 25,720,177 7 4 16 27 0 1 0 34 54 0 89 30 48
SWE Sweden 40 7 207 6,149,070 3 3 9 15 0 2 0 40 127 25 194 12 25
SWI Switzerland 25 2 21 4,071,364 4 0 7 11 0 33 0 0 0 0 33 4 0
TAN Tannu Tuva 3 1 12 85,104 1 0 1 2 0 0 0 0 0 2 2 0 0
TIB Tibet 5 3 21 3,726,544 1 0 2 3 0 0 0 2 0 0 2 0 0
TUR Turkey 234 21 177 16,277,102 4 1 11 16 0 0 0 0 37 211 248 16 31
ENG United Kingdom 400 76 449 120,070,199 14 19 33 66 18 88 67 28 219 129 549 105 182
USA United States 465 53 842 125,029,601 10 22 129 161 680 176 0 137 505 1 1499 117 121
URG Uruguay 5 1 13 1,736,117 1 1 6 8 1 0 0 0 1 0 2 1 6
VEN Venezuela 7 3 25 3,160,879 1 0 7 8 76 0 0 0 0 0 76 2 10
XSM Xibei San Ma 14 7 72 12,394,211 1 0 5 6 0 0 0 1 0 0 1 0 0
YEM Yemen 3 1 5 2,492,539 1 0 1 2 1 0 0 0 0 0 1 0 1
YUG Yugoslavia 58 13 99 13,780,622 3 1 14 18 0 100 0 0 3 90 193 9 5
YUN Yunnan 13 2 25 12,009,142 1 0 3 4 0 0 0 2 0 0 2 0 0