database.earth

Annual Population Deaths by Country in 1993

-5 year -1 year 1993 +1 year +5 year

In the year 1993, a total of 50,769,036 people died across the globe. Out of this group, 27,006,766 were male and 23,762,270 were female.

The country with the highest death count was 🇮🇳India, with a total of 9,282,709 people dying for the year. Closely followed by 🇨🇳China with a death count of 7,703,313, and 🇺🇸United States of America with 2,247,067 deaths recorded.

The country with the lowest annual death count was 🇻🇦Holy See with 9 people. Followed by 🇹🇰Tokelau with a death count of 13, and 🇧🇱Saint Barthélemy with 24 deaths recorded.

The geographic region with the highest death count was Asia with a total of 26,747,264 people dying for the year. Closely followed by Africa with a death count 9906.52, and Europe with 8,412,609 deaths recorded for the year.

When devided into sub-subregions we can see that Southern Asia had the highest death count of 12,664,040 people. Closely followed by Eastern Asia with a death count of 9,153,024, and Eastern Europe with 4,144,423 deaths recorded.

If we devide the global population into income groups we can see that Middle-income countries has the highest death count of 36,017,242. While the lowest death count is recorded by No income group available were only 102,645 people died in that segment.

Similar Population Metrics for 1993

Countries with the Highest Death Count in 1993

Rank Country Deaths Male Deaths Female Deaths
1 🇮🇳India 9,282,709 4,855,842 4,426,867
2 🇨🇳China 7,703,313 4,189,805 3,513,508
3 🇺🇸United States of America 2,247,067 1,158,565 1,088,502
4 🇷🇺Russian Federation 2,122,065 1,116,758 1,005,307
5 🇳🇬Nigeria 1,921,923 1,019,673 902,250
6 🇮🇩Indonesia 1,464,235 780,253 683,982
7 🇵🇰Pakistan 1,309,418 701,482 607,936
8 🇧🇩Bangladesh 1,174,468 596,566 577,902
9 🇧🇷Brazil 1,086,137 619,426 466,711
10 🇪🇹Ethiopia 956,853 503,610 453,243
11 🇯🇵Japan 929,713 499,792 429,921
12 🇩🇪Germany 895,815 414,051 481,764
13 🇺🇦Ukraine 740,887 356,127 384,760
14 🇬🇧United Kingdom 657,852 317,460 340,393
15 🇨🇩Democratic Republic of the Congo 638,472 333,494 304,978
16 🇮🇹Italy 551,794 284,759 267,035
17 🇫🇷France 531,976 275,326 256,651
18 🇲🇽Mexico 476,582 279,469 197,113
19 🇲🇲Myanmar 461,102 251,124 209,978
20 🇪🇬Egypt 457,621 232,633 224,989
21 🇻🇳Viet Nam 443,171 258,184 184,986
22 🇹🇿United Republic of Tanzania 413,610 218,417 195,193
23 🇵🇭Philippines 405,375 219,469 185,907
24 🇵🇱Poland 391,790 207,994 183,796
25 🇸🇩Sudan 370,424 219,591 150,833
26 🇹🇷Türkiye 367,640 209,261 158,380
27 🇮🇷Iran (Islamic Republic of) 352,295 197,281 155,014
28 🇺🇬Uganda 345,328 181,570 163,758
29 🇿🇦South Africa 342,790 189,854 152,936
30 🇪🇸Spain 337,577 179,068 158,509
31 🇹🇭Thailand 328,963 194,887 134,077
32 🇦🇴Angola 278,784 157,297 121,488
33 🇲🇿Mozambique 270,497 140,106 130,390
34 🇷🇴Romania 262,021 139,566 122,455
35 🇦🇷Argentina 259,747 140,018 119,729
36 🇰🇪Kenya 255,175 135,433 119,742
37 🇰🇷Republic of Korea 237,023 138,140 98,883
38 🇳🇵Nepal 235,621 119,525 116,096
39 🇸🇸South Sudan 229,146 124,124 105,022
40 🇲🇼Malawi 218,558 115,065 103,493
41 🇨🇦Canada 204,747 109,266 95,480
42 🇳🇪Niger 204,280 103,277 101,003
43 🇦🇫Afghanistan 199,165 104,343 94,822
44 🇨🇴Colombia 197,750 120,324 77,426
45 🇨🇮Côte d'Ivoire 188,292 104,240 84,052
46 🇲🇦Morocco 185,933 100,202 85,731
47 🇬🇭Ghana 181,114 93,452 87,662
48 🇲🇱Mali 174,455 89,541 84,914
49 🇲🇬Madagascar 170,305 91,313 78,992
50 🇺🇿Uzbekistan 169,419 89,978 79,441
51 🇧🇫Burkina Faso 167,354 84,949 82,405
52 🇨🇲Cameroon 166,860 86,473 80,388
53 🇰🇿Kazakhstan 162,029 88,375 73,654
54 🇩🇿Algeria 154,044 82,183 71,861
55 🇵🇪Peru 153,751 85,921 67,831
56 🇾🇪Yemen 153,524 80,973 72,551
57 🇷🇼Rwanda 152,417 82,386 70,030
58 🇭🇺Hungary 150,096 80,412 69,684
59 🇧🇮Burundi 146,898 77,256 69,642
60 🇿🇲Zambia 143,660 72,449 71,210
61 🇳🇱Netherlands 137,685 69,847 67,838
62 🇧🇾Belarus 132,354 67,419 64,936
63 🇹🇩Chad 128,633 65,931 62,703
64 🇬🇳Guinea 126,399 64,114 62,285
65 🇮🇶Iraq 125,045 66,721 58,324
66 🇦🇺Australia 120,645 64,546 56,100
67 🇧🇬Bulgaria 120,170 65,004 55,165
68 🇨🇿Czechia 118,129 59,136 58,993
69 🇿🇼Zimbabwe 117,987 63,147 54,840
70 🇰🇭Cambodia 117,009 60,561 56,448
71 🇰🇵Dem. People's Republic of Korea 114,601 62,943 51,658
72 🇹🇼China, Taiwan Province of China 111,254 70,092 41,161
73 🇧🇪Belgium 107,035 53,951 53,084
74 🇵🇹Portugal 105,663 55,404 50,259
75 🇱🇰Sri Lanka 103,282 65,200 38,082
76 🇸🇴Somalia 100,634 52,708 47,926
77 🇻🇪Venezuela (Bolivarian Republic of) 100,458 58,208 42,250
78 🇬🇷Greece 98,721 54,370 44,351
79 🇸🇪Sweden 96,863 48,970 47,893
80 🇭🇹Haiti 94,796 48,017 46,779
81 🇸🇱Sierra Leone 93,316 48,060 45,256
82 🇸🇳Senegal 92,654 49,360 43,294
83 🇲🇾Malaysia 87,583 49,581 38,002
84 🇷🇸Serbia 87,089 45,857 41,232
85 🇦🇹Austria 82,466 38,196 44,270
86 🇧🇴Bolivia (Plurinational State of) 81,130 42,206 38,924
87 🇬🇹Guatemala 80,230 45,697 34,533
88 🇧🇦Bosnia and Herzegovina 78,904 52,663 26,240
89 🇨🇺Cuba 78,062 44,039 34,024
90 🇹🇯Tajikistan 77,832 50,090 27,743
91 🇧🇯Benin 77,391 40,947 36,444
92 🇦🇿Azerbaijan 76,562 41,852 34,710
93 🇸🇦Saudi Arabia 76,056 46,435 29,621
94 🇨🇱Chile 74,405 41,327 33,078
95 🇩🇰Denmark 62,801 31,267 31,534
96 🇨🇭Switzerland 62,529 31,497 31,033
97 🇸🇾Syrian Arab Republic 62,152 34,830 27,323
98 🇪🇨Ecuador 60,990 34,687 26,303
99 🇱🇦Lao People's Democratic Republic 57,868 30,122 27,746
100 🇬🇪Georgia 57,294 29,988 27,306
101 🇲🇩Republic of Moldova 54,229 27,180 27,049
102 🇹🇬Togo 53,241 27,499 25,742
103 🇸🇰Slovakia 52,674 28,719 23,955
104 🇭🇷Croatia 51,958 26,454 25,504
105 🇫🇮Finland 50,912 24,709 26,203
106 🇨🇫Central African Republic 50,197 27,187 23,010
107 🇱🇹Lithuania 48,075 25,865 22,210
108 🇳🇴Norway 46,584 23,763 22,820
109 🇹🇳Tunisia 46,399 26,556 19,843
110 🇱🇷Liberia 45,809 24,924 20,885
111 🇩🇴Dominican Republic 43,222 24,366 18,856
112 🇱🇻Latvia 40,529 21,111 19,418
113 🇰🇬Kyrgyzstan 40,207 21,027 19,180
114 🇸🇻El Salvador 37,998 22,762 15,236
115 🇭🇳Honduras 35,172 19,365 15,807
116 🇭🇰China, Hong Kong SAR 34,792 19,229 15,564
117 🇵🇬Papua New Guinea 33,400 19,813 13,587
118 🇮🇱Israel 32,945 16,998 15,947
119 🇹🇲Turkmenistan 32,064 17,253 14,812
120 🇮🇪Ireland 31,899 16,878 15,021
121 🇨🇬Congo 31,089 15,385 15,705
122 🇺🇾Uruguay 29,851 16,413 13,438
123 🇳🇮Nicaragua 29,449 16,309 13,139
124 🇵🇷Puerto Rico 28,317 16,937 11,379
125 🇦🇲Armenia 27,448 14,888 12,560
126 🇳🇿New Zealand 27,089 14,079 13,010
127 🇵🇾Paraguay 26,428 14,507 11,921
128 🇪🇷Eritrea 25,609 13,203 12,406
129 🇪🇪Estonia 21,247 10,735 10,513
130 🇲🇷Mauritania 20,919 10,886 10,033
131 🇲🇳Mongolia 20,826 11,224 9,602
132 🇱🇸Lesotho 20,045 11,234 8,812
133 🇸🇮Slovenia 20,013 10,170 9,844
134 🇬🇼Guinea-Bissau 19,950 10,645 9,305
135 🇱🇾Libya 19,756 11,441 8,314
136 🇱🇧Lebanon 19,687 10,012 9,674
137 🇦🇱Albania 18,251 10,199 8,052
138 🇯🇲Jamaica 17,448 8,124 9,324
139 🇬🇲Gambia 16,814 9,052 7,762
140 🇯🇴Jordan 16,559 9,122 7,437
141 🇲🇰North Macedonia 16,062 8,884 7,178
142 🇸🇬Singapore 15,772 8,944 6,828
143 🇧🇼Botswana 13,541 7,230 6,311
144 🇵🇦Panama 13,526 7,863 5,662
145 🇹🇱Timor-Leste 13,402 7,342 6,059
146 🇨🇷Costa Rica 13,230 7,489 5,741
147 🇳🇦Namibia 13,198 6,864 6,334
148 🇬🇦Gabon 11,582 5,883 5,700
149 🇵🇸State of Palestine 11,202 6,045 5,157
150 🇽🇰Kosovo (under UNSC res. 1244) 10,454 5,603 4,851
151 🇹🇹Trinidad and Tobago 8,507 4,524 3,983
152 🇬🇶Equatorial Guinea 8,109 4,243 3,866
153 🇴🇲Oman 7,894 4,947 2,947
154 🇸🇿Eswatini 7,690 4,102 3,588
155 🇲🇺Mauritius 7,393 4,231 3,162
156 🇨🇾Cyprus 6,981 3,642 3,339
157 🇩🇯Djibouti 6,969 3,699 3,270
158 🇬🇾Guyana 6,053 3,442 2,611
159 🇦🇪United Arab Emirates 5,608 4,110 1,498
160 🇰🇲Comoros 5,454 2,899 2,555
161 🇧🇹Bhutan 5,443 3,001 2,442
162 🇲🇪Montenegro 4,860 2,748 2,112
163 🇫🇯Fiji 4,823 2,756 2,067
164 🇱🇺Luxembourg 3,896 1,970 1,926
165 🇷🇪Réunion 3,811 2,259 1,552
166 🇰🇼Kuwait 3,740 2,408 1,332
167 🇨🇻Cabo Verde 3,095 1,560 1,534
168 🇸🇷Suriname 3,044 1,696 1,347
169 🇲🇹Malta 2,678 1,443 1,235
170 🇲🇶Martinique 2,529 1,359 1,170
171 🇧🇧Barbados 2,518 1,249 1,269
172 🇬🇵Guadeloupe 2,515 1,401 1,114
173 🇸🇧Solomon Islands 2,237 1,387 850
174 🇮🇸Iceland 1,753 873 880
175 🇪🇭Western Sahara 1,724 936 788
176 🇧🇭Bahrain 1,704 999 706
177 🇧🇸Bahamas 1,687 927 760
178 🇲🇻Maldives 1,638 946 692
179 🇲🇴China, Macao SAR 1,491 766 725
180 🇸🇹Sao Tome and Principe 1,300 699 601
181 🇳🇨New Caledonia 1,129 676 453
182 🇨🇼Curaçao 1,101 566 535
183 🇧🇿Belize 1,091 596 495
184 🇶🇦Qatar 1,083 732 351
185 🇮🇲Isle of Man 1,049 500 550
186 🇧🇳Brunei Darussalam 1,044 617 427
187 🇻🇺Vanuatu 1,012 622 391
188 🇼🇸Samoa 979 584 395
189 🇯🇪Jersey 894 430 464
190 🇱🇨Saint Lucia 886 467 419
191 🇻🇮United States Virgin Islands 726 422 304
192 🇬🇩Grenada 716 360 357
193 🇻🇨Saint Vincent and the Grenadines 694 355 339
194 🇵🇫French Polynesia 692 388 305
195 🇹🇴Tonga 686 413 272
196 🇩🇲Dominica 673 353 320
197 🇬🇺Guam 668 407 261
198 🇰🇮Kiribati 666 344 322
199 🇸🇨Seychelles 626 427 198
200 🇬🇬Guernsey 607 289 317
201 🇫🇲Micronesia (Fed. States of) 602 347 255
202 🇬🇫French Guiana 591 371 220
203 🇦🇬Antigua and Barbuda 503 251 252
204 🇦🇼Aruba 459 248 211
205 🇰🇳Saint Kitts and Nevis 446 227 219
206 🇧🇲Bermuda 443 256 188
207 🇫🇴Faroe Islands 441 276 165
208 🇬🇱Greenland 438 261 178
209 🇲🇨Monaco 423 238 185
210 🇾🇹Mayotte 350 200 150
211 🇦🇩Andorra 348 217 131
212 🇲🇭Marshall Islands 340 191 149
213 🇦🇸American Samoa 236 143 92
214 🇱🇮Liechtenstein 208 103 105
215 🇸🇲San Marino 196 96 101
216 🇬🇮Gibraltar 191 99 92
217 🇰🇾Cayman Islands 190 105 85
218 🇵🇼Palau 169 104 64
219 🇲🇵Northern Mariana Islands 157 93 63
220 🇨🇰Cook Islands 129 80 49
221 🇸🇽Sint Maarten (Dutch part) 124 70 54
222 🇧🇶Bonaire, Sint Eustatius and Saba 108 58 50
223 🇲🇸Montserrat 105 44 62
224 🇹🇻Tuvalu 96 49 47
225 🇼🇫Wallis and Futuna Islands 84 41 43
226 🇻🇬British Virgin Islands 83 47 35
227 🇲🇫Saint Martin (French part) 81 48 32
228 🇹🇨Turks and Caicos Islands 78 43 34
229 🇳🇷Nauru 70 45 25
230 🇦🇮Anguilla 68 34 34
231 🇸🇭Saint Helena 58 29 29
232 🇵🇲Saint Pierre and Miquelon 56 29 26
233 🇫🇰Falkland Islands (Malvinas) 38 22 17
234 🇳🇺Niue 28 15 13
235 🇧🇱Saint Barthélemy 24 14 10
236 🇹🇰Tokelau 13 6 7
237 🇻🇦Holy See 9 5 4

Regions with the Highest Death Count in 1993

Rank Region Deaths Male Deaths Female Deaths
1 Asia 26,747,264 14,347,975 12,399,289
2 Africa 9,906,520 5,256,096 4,650,424
3 Europe 8,412,609 4,294,588 4,118,020
4 Latin America and the Caribbean 3,054,100 1,732,669 1,321,431
5 Northern America 2,452,749 1,268,371 1,184,378
6 Oceania 195,794 107,067 88,727

Sub-regions with the Highest Death Count in 1993

Rank Sub-region Deaths Male Deaths Female Deaths
1 Southern Asia 12,664,040 6,644,192 6,019,848
2 Eastern Asia 9,153,024 4,992,010 4,161,014
3 Eastern Europe 4,144,423 2,148,309 1,996,114
4 Eastern Africa 3,571,281 1,884,493 1,686,788
5 South-Eastern Asia 3,395,517 1,861,081 1,534,436
6 Western Africa 3,387,030 1,782,186 1,604,844
7 South America 2,080,353 1,178,565 901,788
8 Western Europe 1,821,994 885,153 936,841
9 Southern Europe 1,384,711 738,010 646,701
10 Middle Africa 1,315,037 696,583 618,454
11 Northern Africa 1,235,906 673,548 562,358
12 Northern Europe 1,061,481 523,116 538,365
13 Western Asia 1,053,119 583,959 469,160
14 Central America 687,273 399,553 287,720
15 Central Asia 481,564 266,733 214,831
16 Southern Africa 397,266 219,286 177,980
17 Caribbean 286,474 154,551 131,923
18 Australia/New Zealand 147,734 78,625 69,109
19 Melanesia 42,578 25,242 17,336
20 Polynesia 2,862 1,684 1,178
21 Micronesia 2,620 1,516 1,104

Income Groups with the Highest Death Count in 1993

Rank Income Group Deaths Male Deaths Female Deaths
1 Middle-income countries 36,017,242 19,302,408 16,714,833
2 Lower-middle-income countries 21,457,315 11,322,714 10,134,601
3 Upper-middle-income countries 14,559,927 7,979,694 6,580,233
4 High-income countries 9,270,476 4,799,838 4,470,638
5 Low-income countries 5,378,673 2,845,138 2,533,535
6 No income group available 102,645 59,382 43,263

Data Information

Data found on this page is based on the medium fertility variant of the United Nations Revision of World Population Prospects 2022.

Data Sources

The United Nations - Department of Economic and Social Affairs (Population Division)

UN Revision of World Population Prospects 2022

Data Disclaimer

People at database.earth has not verified data entry and collection processes in person. We take all open data provided by governmental and non-governmental organization at face value.

This data is the foundation for most content and visualization found on this page. If you find errors in the representation of the data, please contact us and we will correct it.

All data from sources are archived for future reference.