Annual Population Births by Country in 1979

-5 year -1 year 1979 +1 year +5 year

In the year 1979, a total of 124,287,659 babies was born across the globe. Out of this group, 24,834,335 were male and 22,079,262 were female.

The country with the highest birth count was 🇮🇳India, with a total of 24,698,877 people dying for the year. Closely followed by 🇨🇳China with a birth count of 21,194,207, and 🇮🇩Indonesia with 4,951,561 births recorded.

The country with the lowest annual birth count was 🇻🇦Holy See with only 5 babies born for the year. Followed by 🇫🇰Falkland Islands (Malvinas) with a birth count of 32, and 🇧🇱Saint Barthélemy with 43 births recorded.

The geographic region with the highest birth count was Asia with a total of 76,843,781 people dying for the year. Closely followed by Africa with a birth count 21447.524, and Latin America and the Caribbean with 11,591,784 births recorded for the year.

When devided into sub-subregions we can see that Southern Asia had the highest birth count of 35,160,995 people. Closely followed by Eastern Asia with a birth count of 24,612,908, and South-Eastern Asia with 11,639,911 births recorded.

If we devide the global population into income groups we can see that Middle-income countries has the highest birth count of 98,255,841. While the lowest birth count is recorded by No income group available were only 505,435 newborns was added to that segment.

Similar Population Metrics for 1979

Countries with the Highest Birth Count in 1979

Rank Country Births Male Births Female Births
1 🇮🇳India 24,698,877 0 0
2 🇨🇳China 21,194,207 0 0
3 🇮🇩Indonesia 4,951,561 0 0
4 🇧🇷Brazil 3,877,629 0 0
5 🇧🇩Bangladesh 3,734,810 0 0
6 🇺🇸United States of America 3,408,374 0 0
7 🇳🇬Nigeria 3,384,867 0 0
8 🇵🇰Pakistan 3,337,688 0 0
9 🇲🇽Mexico 2,414,870 0 0
10 🇷🇺Russian Federation 2,248,668 0 0
11 🇵🇭Philippines 1,781,056 0 0
12 🇪🇹Ethiopia 1,750,373 0 0
13 🇻🇳Viet Nam 1,745,482 0 0
14 🇪🇬Egypt 1,740,537 0 0
15 🇯🇵Japan 1,651,197 0 0
16 🇮🇷Iran (Islamic Republic of) 1,644,647 0 0
17 🇹🇷Türkiye 1,476,086 0 0
18 🇹🇭Thailand 1,206,203 0 0
19 🇨🇩Democratic Republic of the Congo 1,184,327 0 0
20 🇲🇲Myanmar 1,116,964 0 0
21 🇿🇦South Africa 990,367 0 0
22 🇹🇿United Republic of Tanzania 908,782 0 0
23 🇰🇷Republic of Korea 828,785 0 0
24 🇩🇪Germany 816,977 0 0
25 🇨🇴Colombia 811,077 0 0
26 🇩🇿Algeria 792,448 0 0
27 🇰🇪Kenya 766,237 0 0
28 🇲🇦Morocco 760,465 0 0
29 🇫🇷France 758,951 0 0
30 🇸🇩Sudan 753,105 0 0
31 🇺🇦Ukraine 740,210 0 0
32 🇬🇧United Kingdom 733,943 0 0
33 🇦🇷Argentina 689,353 0 0
34 🇵🇱Poland 687,018 0 0
35 🇦🇫Afghanistan 671,213 0 0
36 🇮🇹Italy 665,992 0 0
37 🇺🇬Uganda 638,089 0 0
38 🇵🇪Peru 634,269 0 0
39 🇳🇵Nepal 625,121 0 0
40 🇪🇸Spain 602,671 0 0
41 🇺🇿Uzbekistan 550,595 0 0
42 🇲🇿Mozambique 539,161 0 0
43 🇮🇶Iraq 535,767 0 0
44 🇬🇭Ghana 514,004 0 0
45 🇻🇪Venezuela (Bolivarian Republic of) 499,077 0 0
46 🇾🇪Yemen 488,068 0 0
47 🇹🇼China, Taiwan Province of China 428,354 0 0
48 🇱🇰Sri Lanka 423,577 0 0
49 🇨🇮Côte d'Ivoire 422,525 0 0
50 🇸🇦Saudi Arabia 421,859 0 0
51 🇦🇴Angola 406,982 0 0
52 🇲🇾Malaysia 400,377 0 0
53 🇲🇬Madagascar 400,196 0 0
54 🇷🇴Romania 394,228 0 0
55 🇸🇾Syrian Arab Republic 382,124 0 0
56 🇨🇲Cameroon 377,909 0 0
57 🇨🇦Canada 376,567 0 0
58 🇰🇵Dem. People's Republic of Korea 366,218 0 0
59 🇲🇱Mali 365,369 0 0
60 🇰🇿Kazakhstan 351,244 0 0
61 🇳🇪Niger 339,557 0 0
62 🇧🇫Burkina Faso 332,534 0 0
63 🇲🇼Malawi 315,480 0 0
64 🇿🇼Zimbabwe 309,913 0 0
65 🇬🇹Guatemala 296,550 0 0
66 🇪🇨Ecuador 281,544 0 0
67 🇸🇳Senegal 268,813 0 0
68 🇿🇲Zambia 268,557 0 0
69 🇨🇱Chile 267,651 0 0
70 🇷🇼Rwanda 264,389 0 0
71 🇸🇴Somalia 240,887 0 0
72 🇰🇭Cambodia 227,335 0 0
73 🇹🇳Tunisia 226,484 0 0
74 🇬🇳Guinea 224,969 0 0
75 🇧🇴Bolivia (Plurinational State of) 224,071 0 0
76 🇦🇺Australia 223,035 0 0
77 🇭🇹Haiti 221,585 0 0
78 🇹🇩Chad 211,847 0 0
79 🇸🇸South Sudan 203,694 0 0
80 🇧🇮Burundi 203,224 0 0
81 🇩🇴Dominican Republic 196,479 0 0
82 🇸🇻El Salvador 178,148 0 0
83 🇳🇱Netherlands 175,263 0 0
84 🇧🇯Benin 173,758 0 0
85 🇦🇿Azerbaijan 170,763 0 0
86 🇨🇿Czechia 170,066 0 0
87 🇭🇳Honduras 161,313 0 0
88 🇵🇹Portugal 160,726 0 0
89 🇭🇺Hungary 159,359 0 0
90 🇧🇾Belarus 158,369 0 0
91 🇹🇯Tajikistan 157,764 0 0
92 🇸🇱Sierra Leone 154,571 0 0
93 🇬🇷Greece 147,111 0 0
94 🇳🇮Nicaragua 142,636 0 0
95 🇨🇺Cuba 141,434 0 0
96 🇱🇦Lao People's Democratic Republic 141,054 0 0
97 🇧🇬Bulgaria 137,265 0 0
98 🇹🇬Togo 128,404 0 0
99 🇧🇪Belgium 122,042 0 0
100 🇵🇬Papua New Guinea 116,002 0 0
101 🇰🇬Kyrgyzstan 113,775 0 0
102 🇱🇾Libya 112,064 0 0
103 🇷🇸Serbia 111,129 0 0
104 🇵🇾Paraguay 106,285 0 0
105 🇨🇫Central African Republic 105,079 0 0
106 🇸🇰Slovakia 100,376 0 0
107 🇹🇲Turkmenistan 99,310 0 0
108 🇬🇪Georgia 97,995 0 0
109 🇸🇪Sweden 96,042 0 0
110 🇮🇱Israel 95,198 0 0
111 🇯🇴Jordan 94,345 0 0
112 🇱🇧Lebanon 91,215 0 0
113 🇱🇷Liberia 90,884 0 0
114 🇦🇹Austria 86,422 0 0
115 🇲🇩Republic of Moldova 84,408 0 0
116 🇦🇱Albania 78,650 0 0
117 🇦🇲Armenia 76,715 0 0
118 🇭🇰China, Hong Kong SAR 76,685 0 0
119 🇵🇷Puerto Rico 75,994 0 0
120 🇨🇬Congo 75,240 0 0
121 🇪🇷Eritrea 72,706 0 0
122 🇧🇦Bosnia and Herzegovina 72,395 0 0
123 🇮🇪Ireland 72,176 0 0
124 🇨🇭Switzerland 71,841 0 0
125 🇨🇷Costa Rica 71,385 0 0
126 🇭🇷Croatia 69,428 0 0
127 🇵🇸State of Palestine 67,633 0 0
128 🇲🇷Mauritania 64,247 0 0
129 🇲🇳Mongolia 63,985 0 0
130 🇫🇮Finland 63,611 0 0
131 🇯🇲Jamaica 62,503 0 0
132 🇩🇰Denmark 59,427 0 0
133 🇵🇦Panama 58,863 0 0
134 🇺🇾Uruguay 56,790 0 0
135 🇱🇸Lesotho 54,734 0 0
136 🇱🇹Lithuania 53,687 0 0
137 🇳🇿New Zealand 52,497 0 0
138 🇳🇴Norway 51,553 0 0
139 🇰🇼Kuwait 51,099 0 0
140 🇴🇲Oman 50,984 0 0
141 🇽🇰Kosovo (under UNSC res. 1244) 48,457 0 0
142 🇲🇰North Macedonia 40,423 0 0
143 🇧🇼Botswana 40,063 0 0
144 🇸🇬Singapore 39,909 0 0
145 🇬🇼Guinea-Bissau 39,654 0 0
146 🇳🇦Namibia 39,353 0 0
147 🇱🇻Latvia 35,942 0 0
148 🇸🇮Slovenia 33,321 0 0
149 🇹🇹Trinidad and Tobago 32,622 0 0
150 🇬🇲Gambia 32,415 0 0
151 🇸🇿Eswatini 28,372 0 0
152 🇬🇦Gabon 27,884 0 0
153 🇦🇪United Arab Emirates 26,482 0 0
154 🇬🇾Guyana 24,384 0 0
155 🇹🇱Timor-Leste 24,144 0 0
156 🇲🇺Mauritius 23,889 0 0
157 🇪🇪Estonia 21,732 0 0
158 🇫🇯Fiji 21,449 0 0
159 🇧🇹Bhutan 17,549 0 0
160 🇰🇲Comoros 14,518 0 0
161 🇨🇻Cabo Verde 13,301 0 0
162 🇷🇪Réunion 13,065 0 0
163 🇩🇯Djibouti 12,803 0 0
164 🇨🇾Cyprus 12,390 0 0
165 🇬🇶Equatorial Guinea 11,846 0 0
166 🇸🇷Suriname 11,584 0 0
167 🇲🇪Montenegro 10,499 0 0
168 🇧🇭Bahrain 10,452 0 0
169 🇸🇧Solomon Islands 9,303 0 0
170 🇶🇦Qatar 8,105 0 0
171 🇲🇻Maldives 7,511 0 0
172 🇬🇵Guadeloupe 6,612 0 0
173 🇲🇹Malta 5,949 0 0
174 🇧🇿Belize 5,888 0 0
175 🇧🇳Brunei Darussalam 5,828 0 0
176 🇼🇸Samoa 5,785 0 0
177 🇲🇶Martinique 5,619 0 0
178 🇧🇸Bahamas 5,281 0 0
179 🇧🇧Barbados 4,667 0 0
180 🇵🇫French Polynesia 4,594 0 0
181 🇻🇺Vanuatu 4,509 0 0
182 🇮🇸Iceland 4,476 0 0
183 🇪🇭Western Sahara 4,463 0 0
184 🇱🇨Saint Lucia 4,376 0 0
185 🇱🇺Luxembourg 4,086 0 0
186 🇳🇨New Caledonia 4,043 0 0
187 🇸🇹Sao Tome and Principe 3,862 0 0
188 🇲🇴China, Macao SAR 3,476 0 0
189 🇹🇴Tonga 3,394 0 0
190 🇻🇨Saint Vincent and the Grenadines 3,321 0 0
191 🇨🇼Curaçao 3,244 0 0
192 🇬🇺Guam 3,158 0 0
193 🇫🇲Micronesia (Fed. States of) 3,009 0 0
194 🇬🇩Grenada 2,728 0 0
195 🇾🇹Mayotte 2,352 0 0
196 🇻🇮United States Virgin Islands 2,304 0 0
197 🇰🇮Kiribati 2,146 0 0
198 🇬🇫French Guiana 1,809 0 0
199 🇸🇨Seychelles 1,765 0 0
200 🇦🇬Antigua and Barbuda 1,599 0 0
201 🇲🇭Marshall Islands 1,572 0 0
202 🇩🇲Dominica 1,562 0 0
203 🇦🇼Aruba 1,372 0 0
204 🇰🇳Saint Kitts and Nevis 1,207 0 0
205 🇦🇸American Samoa 1,088 0 0
206 🇬🇱Greenland 931 0 0
207 🇯🇪Jersey 903 0 0
208 🇫🇴Faroe Islands 780 0 0
209 🇧🇲Bermuda 776 0 0
210 🇮🇲Isle of Man 748 0 0
211 🇬🇬Guernsey 635 0 0
212 🇬🇮Gibraltar 590 0 0
213 🇲🇵Northern Mariana Islands 555 0 0
214 🇨🇰Cook Islands 486 0 0
215 🇦🇩Andorra 455 0 0
216 🇼🇫Wallis and Futuna Islands 409 0 0
217 🇱🇮Liechtenstein 343 0 0
218 🇲🇨Monaco 329 0 0
219 🇸🇽Sint Maarten (Dutch part) 309 0 0
220 🇰🇾Cayman Islands 308 0 0
221 🇵🇼Palau 287 0 0
222 🇻🇬British Virgin Islands 277 0 0
223 🇸🇲San Marino 255 0 0
224 🇲🇫Saint Martin (French part) 255 0 0
225 🇧🇶Bonaire, Sint Eustatius and Saba 238 0 0
226 🇲🇸Montserrat 233 0 0
227 🇹🇻Tuvalu 227 0 0
228 🇹🇨Turks and Caicos Islands 216 0 0
229 🇦🇮Anguilla 185 0 0
230 🇳🇷Nauru 184 0 0
231 🇸🇭Saint Helena 141 0 0
232 🇳🇺Niue 117 0 0
233 🇵🇲Saint Pierre and Miquelon 91 0 0
234 🇹🇰Tokelau 48 0 0
235 🇧🇱Saint Barthélemy 43 0 0
236 🇫🇰Falkland Islands (Malvinas) 32 0 0
237 🇻🇦Holy See 5 0 0

Regions with the Highest Birth Count in 1979

Rank Region Births Male Births Female Births
1 Asia 76,843,781 0 0
2 Africa 21,447,524 0 0
3 Latin America and the Caribbean 11,591,784 0 0
4 Europe 10,159,933 0 0
5 Northern America 3,786,740 0 0
6 Oceania 457,897 0 0

Sub-regions with the Highest Birth Count in 1979

Rank Sub-region Births Male Births Female Births
1 Southern Asia 35,160,995 0 0
2 Eastern Asia 24,612,908 0 0
3 South-Eastern Asia 11,639,911 0 0
4 South America 7,485,557 0 0
5 Eastern Africa 6,950,080 0 0
6 Western Africa 6,550,012 0 0
7 Eastern Europe 4,879,966 0 0
8 Northern Africa 4,389,567 0 0
9 Western Asia 4,157,279 0 0
10 Central America 3,329,655 0 0
11 Middle Africa 2,404,976 0 0
12 Southern Europe 2,048,056 0 0
13 Western Europe 2,036,254 0 0
14 Central Asia 1,272,688 0 0
15 Northern Europe 1,195,656 0 0
16 Southern Africa 1,152,889 0 0
17 Caribbean 776,572 0 0
18 Australia/New Zealand 275,532 0 0
19 Melanesia 155,307 0 0
20 Polynesia 16,148 0 0
21 Micronesia 10,910 0 0

Income Groups with the Highest Birth Count in 1979

Rank Income Group Births Male Births Female Births
1 Middle-income countries 98,255,841 0 0
2 Lower-middle-income countries 58,644,351 0 0
3 Upper-middle-income countries 39,611,490 0 0
4 High-income countries 14,759,288 0 0
5 Low-income countries 10,767,095 0 0
6 No income group available 505,435 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

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