Annual Population Births by Country in 1954

-1 year 1954 +1 year +5 year

In the year 1954, a total of 100,348,054 babies was born across the globe. Out of this group, 24,539,831 were male and 22,462,974 were female.

The country with the highest birth count was 🇨🇳China, with a total of 25,426,945 people dying for the year. Closely followed by 🇮🇳India with a birth count of 17,246,702, and 🇺🇸United States of America with 3,783,142 births recorded.

The country with the lowest annual birth count was 🇻🇦Holy See with only 7 babies born for the year. Followed by 🇫🇰Falkland Islands (Malvinas) with a birth count of 46, and 🇧🇱Saint Barthélemy with 51 births recorded.

The geographic region with the highest birth count was Asia with a total of 63,560,660 people dying for the year. Closely followed by Europe with a birth count 12151.779, and Africa with 11,941,297 births recorded for the year.

When devided into sub-subregions we can see that Eastern Asia had the highest birth count of 29,012,923 people. Closely followed by Southern Asia with a birth count of 23,201,489, and South-Eastern Asia with 8,023,619 births recorded.

If we devide the global population into income groups we can see that Middle-income countries has the highest birth count of 78,075,470. While the lowest birth count is recorded by No income group available were only 312,134 newborns was added to that segment.

Similar Population Metrics for 1954

Countries with the Highest Birth Count in 1954

Rank Country Births Male Births Female Births
1 🇨🇳China 25,426,945 0 0
2 🇮🇳India 17,246,702 0 0
3 🇺🇸United States of America 3,783,142 0 0
4 🇮🇩Indonesia 3,256,857 0 0
5 🇷🇺Russian Federation 3,015,428 0 0
6 🇧🇷Brazil 2,786,527 0 0
7 🇧🇩Bangladesh 2,079,007 0 0
8 🇳🇬Nigeria 1,831,209 0 0
9 🇵🇰Pakistan 1,810,574 0 0
10 🇯🇵Japan 1,804,605 0 0
11 🇲🇽Mexico 1,488,663 0 0
12 🇪🇬Egypt 1,223,101 0 0
13 🇻🇳Viet Nam 1,162,172 0 0
14 🇩🇪Germany 1,113,201 0 0
15 🇹🇷Türkiye 1,079,528 0 0
16 🇵🇭Philippines 1,047,872 0 0
17 🇹🇭Thailand 1,007,375 0 0
18 🇮🇷Iran (Islamic Republic of) 924,726 0 0
19 🇪🇹Ethiopia 920,899 0 0
20 🇰🇷Republic of Korea 909,299 0 0
21 🇮🇹Italy 869,160 0 0
22 🇲🇲Myanmar 857,524 0 0
23 🇺🇦Ukraine 830,313 0 0
24 🇫🇷France 815,484 0 0
25 🇬🇧United Kingdom 797,765 0 0
26 🇵🇱Poland 774,770 0 0
27 🇨🇩Democratic Republic of the Congo 618,939 0 0
28 🇨🇴Colombia 618,002 0 0
29 🇿🇦South Africa 593,350 0 0
30 🇪🇸Spain 580,530 0 0
31 🇲🇦Morocco 521,020 0 0
32 🇩🇿Algeria 498,349 0 0
33 🇦🇷Argentina 464,652 0 0
34 🇷🇴Romania 441,023 0 0
35 🇨🇦Canada 430,069 0 0
36 🇳🇵Nepal 423,529 0 0
37 🇵🇪Peru 411,895 0 0
38 🇹🇿United Republic of Tanzania 411,456 0 0
39 🇹🇼China, Taiwan Province of China 406,283 0 0
40 🇦🇫Afghanistan 390,412 0 0
41 🇰🇪Kenya 342,299 0 0
42 🇸🇩Sudan 333,350 0 0
43 🇰🇵Dem. People's Republic of Korea 330,668 0 0
44 🇺🇬Uganda 328,624 0 0
45 🇱🇰Sri Lanka 313,668 0 0
46 🇻🇪Venezuela (Bolivarian Republic of) 308,428 0 0
47 🇺🇿Uzbekistan 299,699 0 0
48 🇮🇶Iraq 297,410 0 0
49 🇲🇾Malaysia 295,066 0 0
50 🇲🇿Mozambique 290,714 0 0
51 🇬🇭Ghana 287,074 0 0
52 🇰🇿Kazakhstan 268,404 0 0
53 🇾🇪Yemen 267,137 0 0
54 🇨🇱Chile 264,056 0 0
55 🇲🇱Mali 251,772 0 0
56 🇦🇴Angola 234,953 0 0
57 🇰🇭Cambodia 229,677 0 0
58 🇳🇱Netherlands 228,535 0 0
59 🇭🇺Hungary 222,257 0 0
60 🇲🇬Madagascar 210,754 0 0
61 🇦🇺Australia 201,038 0 0
62 🇨🇺Cuba 200,326 0 0
63 🇵🇹Portugal 199,877 0 0
64 🇧🇫Burkina Faso 198,679 0 0
65 🇨🇲Cameroon 197,262 0 0
66 🇧🇾Belarus 192,106 0 0
67 🇸🇾Syrian Arab Republic 186,735 0 0
68 🇸🇦Saudi Arabia 182,606 0 0
69 🇹🇳Tunisia 180,048 0 0
70 🇬🇹Guatemala 177,308 0 0
71 🇪🇨Ecuador 177,115 0 0
72 🇳🇪Niger 172,462 0 0
73 🇨🇮Côte d'Ivoire 168,457 0 0
74 🇨🇿Czechia 167,609 0 0
75 🇬🇷Greece 160,711 0 0
76 🇲🇼Malawi 160,021 0 0
77 🇭🇹Haiti 157,473 0 0
78 🇿🇼Zimbabwe 154,511 0 0
79 🇧🇬Bulgaria 152,365 0 0
80 🇷🇸Serbia 149,520 0 0
81 🇧🇪Belgium 147,996 0 0
82 🇩🇴Dominican Republic 147,043 0 0
83 🇦🇿Azerbaijan 145,086 0 0
84 🇬🇳Guinea 144,541 0 0
85 🇧🇴Bolivia (Plurinational State of) 144,212 0 0
86 🇸🇳Senegal 141,384 0 0
87 🇷🇼Rwanda 134,994 0 0
88 🇸🇸South Sudan 127,476 0 0
89 🇿🇲Zambia 127,292 0 0
90 🇹🇩Chad 125,235 0 0
91 🇧🇮Burundi 119,972 0 0
92 🇸🇴Somalia 119,488 0 0
93 🇸🇻El Salvador 113,754 0 0
94 🇧🇦Bosnia and Herzegovina 109,935 0 0
95 🇸🇪Sweden 104,905 0 0
96 🇦🇹Austria 104,440 0 0
97 🇸🇱Sierra Leone 101,837 0 0
98 🇸🇰Slovakia 98,557 0 0
99 🇧🇯Benin 98,176 0 0
100 🇭🇰China, Hong Kong SAR 91,884 0 0
101 🇭🇳Honduras 90,814 0 0
102 🇫🇮Finland 89,918 0 0
103 🇬🇪Georgia 89,615 0 0
104 🇭🇷Croatia 89,248 0 0
105 🇱🇦Lao People's Democratic Republic 86,694 0 0
106 🇵🇷Puerto Rico 83,747 0 0
107 🇨🇭Switzerland 83,254 0 0
108 🇲🇩Republic of Moldova 79,453 0 0
109 🇳🇮Nicaragua 79,183 0 0
110 🇹🇯Tajikistan 78,668 0 0
111 🇵🇬Papua New Guinea 78,230 0 0
112 🇩🇰Denmark 75,612 0 0
113 🇰🇬Kyrgyzstan 72,040 0 0
114 🇵🇾Paraguay 71,983 0 0
115 🇹🇬Togo 70,792 0 0
116 🇨🇫Central African Republic 65,954 0 0
117 🇮🇪Ireland 64,506 0 0
118 🇳🇴Norway 62,296 0 0
119 🇱🇧Lebanon 61,229 0 0
120 🇱🇹Lithuania 59,418 0 0
121 🇸🇬Singapore 58,396 0 0
122 🇦🇲Armenia 58,188 0 0
123 🇱🇾Libya 57,900 0 0
124 🇦🇱Albania 57,446 0 0
125 🇹🇲Turkmenistan 55,705 0 0
126 🇯🇲Jamaica 54,848 0 0
127 🇳🇿New Zealand 53,617 0 0
128 🇲🇰North Macedonia 52,223 0 0
129 🇺🇾Uruguay 50,374 0 0
130 🇨🇷Costa Rica 49,850 0 0
131 🇵🇸State of Palestine 48,862 0 0
132 🇮🇱Israel 45,543 0 0
133 🇱🇷Liberia 45,011 0 0
134 🇪🇷Eritrea 40,681 0 0
135 🇨🇬Congo 40,377 0 0
136 🇵🇦Panama 39,216 0 0
137 🇽🇰Kosovo (under UNSC res. 1244) 37,495 0 0
138 🇲🇳Mongolia 35,031 0 0
139 🇱🇻Latvia 33,794 0 0
140 🇲🇷Mauritania 32,671 0 0
141 🇸🇮Slovenia 31,769 0 0
142 🇹🇹Trinidad and Tobago 29,388 0 0
143 🇱🇸Lesotho 28,075 0 0
144 🇯🇴Jordan 27,244 0 0
145 🇴🇲Oman 26,121 0 0
146 🇬🇼Guinea-Bissau 25,637 0 0
147 🇲🇺Mauritius 23,676 0 0
148 🇳🇦Namibia 22,717 0 0
149 🇪🇪Estonia 21,367 0 0
150 🇧🇼Botswana 21,258 0 0
151 🇬🇾Guyana 20,953 0 0
152 🇹🇱Timor-Leste 19,177 0 0
153 🇬🇲Gambia 17,253 0 0
154 🇫🇯Fiji 15,468 0 0
155 🇲🇪Montenegro 14,728 0 0
156 🇬🇦Gabon 14,668 0 0
157 🇸🇿Eswatini 14,628 0 0
158 🇨🇾Cyprus 13,858 0 0
159 🇷🇪Réunion 13,598 0 0
160 🇬🇶Equatorial Guinea 10,128 0 0
161 🇲🇶Martinique 10,078 0 0
162 🇸🇷Suriname 10,028 0 0
163 🇬🇵Guadeloupe 9,222 0 0
164 🇧🇹Bhutan 9,191 0 0
165 🇲🇹Malta 9,155 0 0
166 🇨🇻Cabo Verde 8,665 0 0
167 🇰🇲Comoros 8,221 0 0
168 🇲🇴China, Macao SAR 8,209 0 0
169 🇧🇧Barbados 7,427 0 0
170 🇰🇼Kuwait 7,293 0 0
171 🇧🇭Bahrain 6,192 0 0
172 🇱🇺Luxembourg 5,109 0 0
173 🇸🇧Solomon Islands 4,968 0 0
174 🇼🇸Samoa 4,917 0 0
175 🇮🇸Iceland 4,290 0 0
176 🇱🇨Saint Lucia 4,239 0 0
177 🇦🇪United Arab Emirates 4,159 0 0
178 🇨🇼Curaçao 4,121 0 0
179 🇧🇿Belize 3,869 0 0
180 🇲🇻Maldives 3,681 0 0
181 🇬🇩Grenada 3,570 0 0
182 🇻🇨Saint Vincent and the Grenadines 3,529 0 0
183 🇧🇸Bahamas 3,322 0 0
184 🇩🇯Djibouti 3,264 0 0
185 🇵🇫French Polynesia 3,018 0 0
186 🇧🇳Brunei Darussalam 2,808 0 0
187 🇸🇹Sao Tome and Principe 2,729 0 0
188 🇹🇴Tonga 2,500 0 0
189 🇻🇺Vanuatu 2,452 0 0
190 🇳🇨New Caledonia 2,415 0 0
191 🇰🇳Saint Kitts and Nevis 2,388 0 0
192 🇬🇺Guam 1,976 0 0
193 🇩🇲Dominica 1,877 0 0
194 🇦🇼Aruba 1,822 0 0
195 🇰🇮Kiribati 1,793 0 0
196 🇦🇬Antigua and Barbuda 1,766 0 0
197 🇫🇲Micronesia (Fed. States of) 1,597 0 0
198 🇸🇨Seychelles 1,347 0 0
199 🇶🇦Qatar 1,304 0 0
200 🇬🇱Greenland 1,149 0 0
201 🇾🇹Mayotte 1,128 0 0
202 🇧🇲Bermuda 1,090 0 0
203 🇪🇭Western Sahara 1,038 0 0
204 🇻🇮United States Virgin Islands 848 0 0
205 🇦🇸American Samoa 844 0 0
206 🇬🇫French Guiana 825 0 0
207 🇯🇪Jersey 817 0 0
208 🇫🇴Faroe Islands 768 0 0
209 🇨🇰Cook Islands 709 0 0
210 🇮🇲Isle of Man 669 0 0
211 🇲🇭Marshall Islands 659 0 0
212 🇬🇬Guernsey 487 0 0
213 🇲🇸Montserrat 466 0 0
214 🇼🇫Wallis and Futuna Islands 457 0 0
215 🇬🇮Gibraltar 439 0 0
216 🇲🇨Monaco 371 0 0
217 🇵🇼Palau 324 0 0
218 🇲🇵Northern Mariana Islands 297 0 0
219 🇦🇮Anguilla 288 0 0
220 🇸🇲San Marino 287 0 0
221 🇱🇮Liechtenstein 286 0 0
222 🇻🇬British Virgin Islands 280 0 0
223 🇰🇾Cayman Islands 276 0 0
224 🇹🇨Turks and Caicos Islands 245 0 0
225 🇹🇻Tuvalu 228 0 0
226 🇧🇶Bonaire, Sint Eustatius and Saba 223 0 0
227 🇳🇺Niue 223 0 0
228 🇸🇭Saint Helena 185 0 0
229 🇵🇲Saint Pierre and Miquelon 149 0 0
230 🇲🇫Saint Martin (French part) 140 0 0
231 🇳🇷Nauru 110 0 0
232 🇦🇩Andorra 82 0 0
233 🇸🇽Sint Maarten (Dutch part) 64 0 0
234 🇹🇰Tokelau 63 0 0
235 🇧🇱Saint Barthélemy 51 0 0
236 🇫🇰Falkland Islands (Malvinas) 46 0 0
237 🇻🇦Holy See 7 0 0

Regions with the Highest Birth Count in 1954

Rank Region Births Male Births Female Births
1 Asia 63,560,660 0 0
2 Europe 12,151,779 0 0
3 Africa 11,941,297 0 0
4 Latin America and the Caribbean 8,100,819 0 0
5 Northern America 4,215,598 0 0
6 Oceania 377,901 0 0

Sub-regions with the Highest Birth Count in 1954

Rank Sub-region Births Male Births Female Births
1 Eastern Asia 29,012,923 0 0
2 Southern Asia 23,201,489 0 0
3 South-Eastern Asia 8,023,619 0 0
4 Eastern Europe 5,973,878 0 0
5 South America 5,329,094 0 0
6 Western Africa 3,595,803 0 0
7 Eastern Africa 3,540,414 0 0
8 Northern Africa 2,814,806 0 0
9 Western Asia 2,548,113 0 0
10 Western Europe 2,498,674 0 0
11 Southern Europe 2,362,614 0 0
12 Central America 2,042,656 0 0
13 Northern Europe 1,316,613 0 0
14 Middle Africa 1,310,244 0 0
15 Central Asia 774,516 0 0
16 Caribbean 729,069 0 0
17 Southern Africa 680,030 0 0
18 Australia/New Zealand 254,654 0 0
19 Melanesia 103,534 0 0
20 Polynesia 12,957 0 0
21 Micronesia 6,756 0 0

Income Groups with the Highest Birth Count in 1954

Rank Income Group Births Male Births Female Births
1 Middle-income countries 78,075,470 0 0
2 Upper-middle-income countries 40,074,939 0 0
3 Lower-middle-income countries 38,000,531 0 0
4 High-income countries 16,033,123 0 0
5 Low-income countries 5,927,327 0 0
6 No income group available 312,134 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.