database.earth

Annual Population Births by Country in 1963

-5 year -1 year 1963 +1 year +5 year

In the year 1963, a total of 119,818,714 babies was born across the globe. Out of this group, 24,835,053 were male and 22,444,514 were female.

The country with the highest birth count was 🇨🇳China, with a total of 33,567,340 people dying for the year. Closely followed by 🇮🇳India with a birth count of 20,030,594, and 🇮🇩Indonesia with 4,216,983 births recorded.

The country with the lowest annual birth count was 🇻🇦Holy See with only 9 babies born for the year. Followed by 🇫🇰Falkland Islands (Malvinas) with a birth count of 51, and 🇧🇱Saint Barthélemy with 55 births recorded.

The geographic region with the highest birth count was Asia with a total of 79,029,630 people dying for the year. Closely followed by Africa with a birth count 14531.456, and Europe with 11,654,646 births recorded for the year.

When devided into sub-subregions we can see that Eastern Asia had the highest birth count of 37,418,153 people. Closely followed by Southern Asia with a birth count of 27,395,562, and South-Eastern Asia with 10,015,203 births recorded.

If we devide the global population into income groups we can see that Middle-income countries has the highest birth count of 95,421,377. While the lowest birth count is recorded by No income group available were only 391,728 newborns was added to that segment.

Similar Population Metrics for 1963

Countries with the Highest Birth Count in 1963

Rank Country Births Male Births Female Births
1 🇨🇳China 33,567,340 0 0
2 🇮🇳India 20,030,594 0 0
3 🇮🇩Indonesia 4,216,983 0 0
4 🇺🇸United States of America 3,879,329 0 0
5 🇧🇷Brazil 3,370,877 0 0
6 🇧🇩Bangladesh 2,703,938 0 0
7 🇷🇺Russian Federation 2,373,736 0 0
8 🇵🇰Pakistan 2,247,761 0 0
9 🇳🇬Nigeria 2,219,799 0 0
10 🇲🇽Mexico 1,866,250 0 0
11 🇯🇵Japan 1,723,811 0 0
12 🇻🇳Viet Nam 1,411,442 0 0
13 🇵🇭Philippines 1,400,463 0 0
14 🇩🇪Germany 1,355,348 0 0
15 🇪🇬Egypt 1,336,239 0 0
16 🇹🇷Türkiye 1,273,238 0 0
17 🇹🇭Thailand 1,260,473 0 0
18 🇪🇹Ethiopia 1,121,168 0 0
19 🇮🇷Iran (Islamic Republic of) 1,082,444 0 0
20 🇰🇷Republic of Korea 1,063,969 0 0
21 🇬🇧United Kingdom 989,475 0 0
22 🇮🇹Italy 951,018 0 0
23 🇲🇲Myanmar 948,091 0 0
24 🇫🇷France 852,898 0 0
25 🇨🇩Democratic Republic of the Congo 784,543 0 0
26 🇺🇦Ukraine 781,130 0 0
27 🇨🇴Colombia 763,408 0 0
28 🇿🇦South Africa 720,939 0 0
29 🇪🇸Spain 660,779 0 0
30 🇲🇦Morocco 623,084 0 0
31 🇵🇱Poland 584,785 0 0
32 🇩🇿Algeria 584,085 0 0
33 🇹🇿United Republic of Tanzania 544,287 0 0
34 🇵🇪Peru 509,073 0 0
35 🇦🇷Argentina 505,203 0 0
36 🇳🇵Nepal 483,479 0 0
37 🇰🇪Kenya 482,352 0 0
38 🇦🇫Afghanistan 464,225 0 0
39 🇨🇦Canada 457,752 0 0
40 🇰🇵Dem. People's Republic of Korea 453,470 0 0
41 🇹🇼China, Taiwan Province of China 449,332 0 0
42 🇸🇩Sudan 438,466 0 0
43 🇺🇿Uzbekistan 432,403 0 0
44 🇺🇬Uganda 399,382 0 0
45 🇻🇪Venezuela (Bolivarian Republic of) 386,997 0 0
46 🇬🇭Ghana 366,559 0 0
47 🇱🇰Sri Lanka 366,312 0 0
48 🇮🇶Iraq 362,687 0 0
49 🇲🇾Malaysia 345,354 0 0
50 🇰🇿Kazakhstan 345,096 0 0
51 🇲🇿Mozambique 344,608 0 0
52 🇾🇪Yemen 322,538 0 0
53 🇷🇴Romania 294,769 0 0
54 🇨🇱Chile 292,373 0 0
55 🇦🇴Angola 288,977 0 0
56 🇲🇱Mali 280,924 0 0
57 🇨🇺Cuba 273,084 0 0
58 🇲🇬Madagascar 254,978 0 0
59 🇳🇱Netherlands 248,351 0 0
60 🇨🇲Cameroon 246,038 0 0
61 🇰🇭Cambodia 242,071 0 0
62 🇸🇦Saudi Arabia 235,115 0 0
63 🇧🇫Burkina Faso 234,916 0 0
64 🇸🇾Syrian Arab Republic 233,354 0 0
65 🇦🇺Australia 232,972 0 0
66 🇨🇮Côte d'Ivoire 225,736 0 0
67 🇳🇪Niger 219,727 0 0
68 🇪🇨Ecuador 219,675 0 0
69 🇲🇼Malawi 211,508 0 0
70 🇬🇹Guatemala 210,145 0 0
71 🇵🇹Portugal 209,895 0 0
72 🇦🇿Azerbaijan 206,656 0 0
73 🇹🇳Tunisia 204,541 0 0
74 🇿🇼Zimbabwe 195,002 0 0
75 🇧🇾Belarus 184,113 0 0
76 🇩🇴Dominican Republic 180,106 0 0
77 🇸🇳Senegal 178,101 0 0
78 🇭🇹Haiti 176,638 0 0
79 🇧🇴Bolivia (Plurinational State of) 173,388 0 0
80 🇿🇲Zambia 171,872 0 0
81 🇬🇳Guinea 169,120 0 0
82 🇧🇪Belgium 158,932 0 0
83 🇬🇷Greece 158,095 0 0
84 🇷🇼Rwanda 156,612 0 0
85 🇸🇸South Sudan 154,325 0 0
86 🇹🇩Chad 146,035 0 0
87 🇨🇿Czechia 145,871 0 0
88 🇸🇻El Salvador 143,217 0 0
89 🇸🇴Somalia 142,587 0 0
90 🇧🇮Burundi 136,984 0 0
91 🇧🇬Bulgaria 135,550 0 0
92 🇦🇹Austria 134,917 0 0
93 🇭🇺Hungary 131,910 0 0
94 🇧🇯Benin 123,218 0 0
95 🇸🇱Sierra Leone 119,260 0 0
96 🇷🇸Serbia 119,091 0 0
97 🇹🇯Tajikistan 114,586 0 0
98 🇸🇪Sweden 112,464 0 0
99 🇭🇳Honduras 109,648 0 0
100 🇨🇭Switzerland 108,638 0 0
101 🇭🇰China, Hong Kong SAR 107,210 0 0
102 🇬🇪Georgia 106,386 0 0
103 🇱🇦Lao People's Democratic Republic 102,055 0 0
104 🇧🇦Bosnia and Herzegovina 101,020 0 0
105 🇰🇬Kyrgyzstan 96,963 0 0
106 🇳🇮Nicaragua 95,980 0 0
107 🇵🇬Papua New Guinea 94,671 0 0
108 🇸🇰Slovakia 86,842 0 0
109 🇵🇾Paraguay 84,906 0 0
110 🇹🇬Togo 83,469 0 0
111 🇵🇷Puerto Rico 83,368 0 0
112 🇩🇰Denmark 82,439 0 0
113 🇹🇲Turkmenistan 82,435 0 0
114 🇫🇮Finland 82,148 0 0
115 🇱🇾Libya 82,147 0 0
116 🇲🇩Republic of Moldova 79,679 0 0
117 🇨🇫Central African Republic 76,456 0 0
118 🇱🇧Lebanon 73,616 0 0
119 🇭🇷Croatia 72,820 0 0
120 🇦🇲Armenia 72,510 0 0
121 🇦🇱Albania 71,714 0 0
122 🇨🇷Costa Rica 64,354 0 0
123 🇯🇲Jamaica 64,263 0 0
124 🇳🇿New Zealand 64,232 0 0
125 🇳🇴Norway 63,269 0 0
126 🇸🇬Singapore 61,892 0 0
127 🇮🇪Ireland 61,631 0 0
128 🇱🇷Liberia 59,852 0 0
129 🇱🇹Lithuania 58,377 0 0
130 🇵🇸State of Palestine 57,459 0 0
131 🇺🇾Uruguay 57,152 0 0
132 🇮🇱Israel 54,505 0 0
133 🇵🇦Panama 51,160 0 0
134 🇪🇷Eritrea 51,071 0 0
135 🇯🇴Jordan 50,003 0 0
136 🇨🇬Congo 49,374 0 0
137 🇲🇳Mongolia 48,192 0 0
138 🇽🇰Kosovo (under UNSC res. 1244) 43,149 0 0
139 🇲🇷Mauritania 42,593 0 0
140 🇲🇰North Macedonia 41,530 0 0
141 🇱🇸Lesotho 35,331 0 0
142 🇱🇻Latvia 34,687 0 0
143 🇹🇹Trinidad and Tobago 31,694 0 0
144 🇴🇲Oman 30,105 0 0
145 🇸🇮Slovenia 29,020 0 0
146 🇲🇺Mauritius 27,551 0 0
147 🇬🇼Guinea-Bissau 26,816 0 0
148 🇳🇦Namibia 26,776 0 0
149 🇧🇼Botswana 25,457 0 0
150 🇬🇾Guyana 25,177 0 0
151 🇹🇱Timor-Leste 22,414 0 0
152 🇬🇲Gambia 21,714 0 0
153 🇪🇪Estonia 19,108 0 0
154 🇰🇼Kuwait 18,906 0 0
155 🇫🇯Fiji 18,453 0 0
156 🇸🇿Eswatini 17,743 0 0
157 🇬🇦Gabon 17,514 0 0
158 🇷🇪Réunion 17,124 0 0
159 🇨🇾Cyprus 15,330 0 0
160 🇲🇪Montenegro 13,227 0 0
161 🇸🇷Suriname 12,924 0 0
162 🇧🇹Bhutan 11,669 0 0
163 🇬🇶Equatorial Guinea 11,485 0 0
164 🇬🇵Guadeloupe 10,716 0 0
165 🇲🇶Martinique 10,563 0 0
166 🇨🇻Cabo Verde 10,331 0 0
167 🇰🇲Comoros 9,762 0 0
168 🇧🇭Bahrain 8,112 0 0
169 🇲🇹Malta 7,140 0 0
170 🇧🇧Barbados 6,631 0 0
171 🇸🇧Solomon Islands 6,357 0 0
172 🇦🇪United Arab Emirates 6,290 0 0
173 🇼🇸Samoa 5,658 0 0
174 🇲🇻Maldives 5,138 0 0
175 🇱🇺Luxembourg 5,073 0 0
176 🇲🇴China, Macao SAR 4,830 0 0
177 🇮🇸Iceland 4,813 0 0
178 🇧🇸Bahamas 4,618 0 0
179 🇩🇯Djibouti 4,530 0 0
180 🇱🇨Saint Lucia 4,302 0 0
181 🇧🇿Belize 4,180 0 0
182 🇨🇼Curaçao 4,109 0 0
183 🇧🇳Brunei Darussalam 3,966 0 0
184 🇻🇨Saint Vincent and the Grenadines 3,917 0 0
185 🇬🇩Grenada 3,861 0 0
186 🇵🇫French Polynesia 3,801 0 0
187 🇹🇴Tonga 3,188 0 0
188 🇳🇨New Caledonia 3,174 0 0
189 🇻🇺Vanuatu 3,119 0 0
190 🇸🇹Sao Tome and Principe 2,970 0 0
191 🇬🇺Guam 2,505 0 0
192 🇶🇦Qatar 2,422 0 0
193 🇰🇳Saint Kitts and Nevis 2,271 0 0
194 🇪🇭Western Sahara 2,199 0 0
195 🇰🇮Kiribati 2,183 0 0
196 🇩🇲Dominica 2,125 0 0
197 🇫🇲Micronesia (Fed. States of) 2,073 0 0
198 🇦🇬Antigua and Barbuda 2,004 0 0
199 🇦🇼Aruba 1,757 0 0
200 🇸🇨Seychelles 1,756 0 0
201 🇬🇱Greenland 1,594 0 0
202 🇻🇮United States Virgin Islands 1,327 0 0
203 🇾🇹Mayotte 1,289 0 0
204 🇯🇪Jersey 1,162 0 0
205 🇧🇲Bermuda 1,121 0 0
206 🇬🇫French Guiana 1,104 0 0
207 🇦🇸American Samoa 921 0 0
208 🇨🇰Cook Islands 825 0 0
209 🇫🇴Faroe Islands 803 0 0
210 🇲🇭Marshall Islands 795 0 0
211 🇬🇬Guernsey 671 0 0
212 🇮🇲Isle of Man 661 0 0
213 🇬🇮Gibraltar 592 0 0
214 🇲🇸Montserrat 396 0 0
215 🇵🇼Palau 392 0 0
216 🇲🇨Monaco 389 0 0
217 🇱🇮Liechtenstein 367 0 0
218 🇲🇵Northern Mariana Islands 328 0 0
219 🇼🇫Wallis and Futuna Islands 311 0 0
220 🇸🇲San Marino 299 0 0
221 🇰🇾Cayman Islands 292 0 0
222 🇦🇮Anguilla 249 0 0
223 🇦🇩Andorra 243 0 0
224 🇻🇬British Virgin Islands 240 0 0
225 🇳🇺Niue 225 0 0
226 🇧🇶Bonaire, Sint Eustatius and Saba 222 0 0
227 🇹🇨Turks and Caicos Islands 216 0 0
228 🇸🇭Saint Helena 171 0 0
229 🇲🇫Saint Martin (French part) 167 0 0
230 🇹🇻Tuvalu 155 0 0
231 🇳🇷Nauru 134 0 0
232 🇵🇲Saint Pierre and Miquelon 130 0 0
233 🇸🇽Sint Maarten (Dutch part) 82 0 0
234 🇹🇰Tokelau 74 0 0
235 🇧🇱Saint Barthélemy 55 0 0
236 🇫🇰Falkland Islands (Malvinas) 51 0 0
237 🇻🇦Holy See 9 0 0

Regions with the Highest Birth Count in 1963

Rank Region Births Male Births Female Births
1 Asia 79,029,630 0 0
2 Africa 14,531,456 0 0
3 Europe 11,654,646 0 0
4 Latin America and the Caribbean 9,816,509 0 0
5 Northern America 4,339,926 0 0
6 Oceania 446,547 0 0

Sub-regions with the Highest Birth Count in 1963

Rank Sub-region Births Male Births Female Births
1 Eastern Asia 37,418,153 0 0
2 Southern Asia 27,395,562 0 0
3 South-Eastern Asia 10,015,203 0 0
4 South America 6,402,308 0 0
5 Eastern Europe 4,798,385 0 0
6 Eastern Africa 4,428,747 0 0
7 Western Africa 4,382,311 0 0
8 Northern Africa 3,270,761 0 0
9 Western Asia 3,129,229 0 0
10 Western Europe 2,864,914 0 0
11 Central America 2,544,933 0 0
12 Southern Europe 2,479,640 0 0
13 Middle Africa 1,623,391 0 0
14 Northern Europe 1,511,707 0 0
15 Central Asia 1,071,483 0 0
16 Caribbean 869,268 0 0
17 Southern Africa 826,246 0 0
18 Australia/New Zealand 297,204 0 0
19 Melanesia 125,773 0 0
20 Polynesia 15,158 0 0
21 Micronesia 8,412 0 0

Income Groups with the Highest Birth Count in 1963

Rank Income Group Births Male Births Female Births
1 Middle-income countries 95,421,377 0 0
2 Upper-middle-income countries 49,943,727 0 0
3 Lower-middle-income countries 45,477,650 0 0
4 High-income countries 16,725,627 0 0
5 Low-income countries 7,279,982 0 0
6 No income group available 391,728 0 0

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.