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Annual Population Births by Country in 1989

-5 year -1 year 1989 +1 year +5 year

In the year 1989, a total of 141,176,680 babies was born across the globe. Out of this group, 26,053,801 were male and 23,010,391 were female.

The country with the highest birth count was 🇮🇳India, with a total of 27,733,329 people dying for the year. Closely followed by 🇨🇳China with a birth count of 27,195,685, and 🇵🇰Pakistan with 4,877,528 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 29, and 🇹🇰Tokelau with 52 births recorded.

The geographic region with the highest birth count was Asia with a total of 88,270,490 people dying for the year. Closely followed by Africa with a birth count 26405.366, and Latin America and the Caribbean with 12,036,791 births recorded for the year.

When devided into sub-subregions we can see that Southern Asia had the highest birth count of 39,905,581 people. Closely followed by Eastern Asia with a birth count of 30,032,543, and South-Eastern Asia with 11,950,687 births recorded.

If we devide the global population into income groups we can see that Middle-income countries has the highest birth count of 112,552,379. While the lowest birth count is recorded by No income group available were only 575,506 newborns was added to that segment.

Similar Population Metrics for 1989

Countries with the Highest Birth Count in 1989

Rank Country Births Male Births Female Births
1 🇮🇳India 27,733,329 0 0
2 🇨🇳China 27,195,685 0 0
3 🇵🇰Pakistan 4,877,528 0 0
4 🇮🇩Indonesia 4,706,989 0 0
5 🇳🇬Nigeria 4,079,684 0 0
6 🇺🇸United States of America 4,029,692 0 0
7 🇧🇩Bangladesh 3,800,659 0 0
8 🇧🇷Brazil 3,797,734 0 0
9 🇲🇽Mexico 2,397,751 0 0
10 🇪🇹Ethiopia 2,304,185 0 0
11 🇷🇺Russian Federation 2,178,004 0 0
12 🇵🇭Philippines 2,008,401 0 0
13 🇪🇬Egypt 1,929,539 0 0
14 🇻🇳Viet Nam 1,908,158 0 0
15 🇮🇷Iran (Islamic Republic of) 1,828,172 0 0
16 🇨🇩Democratic Republic of the Congo 1,610,400 0 0
17 🇹🇷Türkiye 1,430,028 0 0
18 🇿🇦South Africa 1,282,403 0 0
19 🇯🇵Japan 1,258,919 0 0
20 🇹🇿United Republic of Tanzania 1,130,316 0 0
21 🇲🇲Myanmar 1,101,632 0 0
22 🇹🇭Thailand 1,093,991 0 0
23 🇰🇪Kenya 997,810 0 0
24 🇸🇩Sudan 912,178 0 0
25 🇩🇪Germany 893,661 0 0
26 🇨🇴Colombia 884,747 0 0
27 🇺🇬Uganda 874,387 0 0
28 🇩🇿Algeria 806,312 0 0
29 🇬🇧United Kingdom 778,138 0 0
30 🇫🇷France 756,200 0 0
31 🇳🇵Nepal 735,007 0 0
32 🇲🇦Morocco 721,682 0 0
33 🇦🇷Argentina 704,483 0 0
34 🇺🇦Ukraine 690,745 0 0
35 🇵🇪Peru 684,417 0 0
36 🇮🇶Iraq 682,636 0 0
37 🇺🇿Uzbekistan 679,493 0 0
38 🇰🇷Republic of Korea 676,603 0 0
39 🇾🇪Yemen 659,641 0 0
40 🇬🇭Ghana 619,580 0 0
41 🇲🇿Mozambique 615,762 0 0
42 🇦🇴Angola 590,351 0 0
43 🇻🇪Venezuela (Bolivarian Republic of) 567,085 0 0
44 🇮🇹Italy 561,521 0 0
45 🇵🇱Poland 557,496 0 0
46 🇦🇫Afghanistan 546,142 0 0
47 🇸🇦Saudi Arabia 540,873 0 0
48 🇨🇮Côte d'Ivoire 538,541 0 0
49 🇲🇬Madagascar 510,459 0 0
50 🇨🇲Cameroon 492,380 0 0
51 🇲🇾Malaysia 474,447 0 0
52 🇳🇪Niger 448,282 0 0
53 🇸🇾Syrian Arab Republic 446,186 0 0
54 🇲🇼Malawi 438,550 0 0
55 🇧🇫Burkina Faso 419,486 0 0
56 🇲🇱Mali 416,304 0 0
57 🇨🇦Canada 413,431 0 0
58 🇰🇿Kazakhstan 412,467 0 0
59 🇰🇵Dem. People's Republic of Korea 412,299 0 0
60 🇪🇸Spain 408,200 0 0
61 🇰🇭Cambodia 389,626 0 0
62 🇷🇴Romania 359,781 0 0
63 🇿🇲Zambia 356,105 0 0
64 🇱🇰Sri Lanka 354,786 0 0
65 🇸🇴Somalia 352,491 0 0
66 🇬🇹Guatemala 352,014 0 0
67 🇿🇼Zimbabwe 350,235 0 0
68 🇹🇼China, Taiwan Province of China 332,357 0 0
69 🇷🇼Rwanda 327,200 0 0
70 🇪🇨Ecuador 311,553 0 0
71 🇸🇳Senegal 309,505 0 0
72 🇹🇩Chad 295,495 0 0
73 🇨🇱Chile 294,089 0 0
74 🇬🇳Guinea 285,202 0 0
75 🇸🇸South Sudan 266,596 0 0
76 🇭🇹Haiti 262,996 0 0
77 🇧🇮Burundi 253,144 0 0
78 🇧🇴Bolivia (Plurinational State of) 252,499 0 0
79 🇦🇺Australia 249,745 0 0
80 🇧🇯Benin 226,642 0 0
81 🇹🇯Tajikistan 224,500 0 0
82 🇹🇳Tunisia 222,690 0 0
83 🇩🇴Dominican Republic 218,872 0 0
84 🇦🇿Azerbaijan 218,760 0 0
85 🇸🇱Sierra Leone 190,950 0 0
86 🇳🇱Netherlands 188,867 0 0
87 🇭🇳Honduras 188,829 0 0
88 🇨🇺Cuba 186,923 0 0
89 🇸🇻El Salvador 180,517 0 0
90 🇱🇦Lao People's Democratic Republic 179,456 0 0
91 🇹🇬Togo 159,228 0 0
92 🇧🇾Belarus 159,004 0 0
93 🇳🇮Nicaragua 153,857 0 0
94 🇵🇬Papua New Guinea 139,496 0 0
95 🇰🇬Kyrgyzstan 139,115 0 0
96 🇵🇾Paraguay 137,403 0 0
97 🇹🇲Turkmenistan 132,949 0 0
98 🇨🇿Czechia 127,568 0 0
99 🇨🇫Central African Republic 126,757 0 0
100 🇱🇾Libya 126,746 0 0
101 🇯🇴Jordan 124,595 0 0
102 🇭🇺Hungary 122,263 0 0
103 🇧🇪Belgium 120,828 0 0
104 🇵🇹Portugal 118,131 0 0
105 🇸🇪Sweden 116,361 0 0
106 🇧🇬Bulgaria 112,750 0 0
107 🇱🇷Liberia 111,323 0 0
108 🇬🇷Greece 110,084 0 0
109 🇮🇱Israel 108,647 0 0
110 🇱🇧Lebanon 100,989 0 0
111 🇬🇪Georgia 100,500 0 0
112 🇷🇸Serbia 96,708 0 0
113 🇵🇸State of Palestine 93,835 0 0
114 🇪🇷Eritrea 91,008 0 0
115 🇨🇬Congo 90,854 0 0
116 🇦🇹Austria 88,236 0 0
117 🇨🇷Costa Rica 84,495 0 0
118 🇲🇩Republic of Moldova 82,389 0 0
119 🇦🇲Armenia 82,361 0 0
120 🇦🇱Albania 82,170 0 0
121 🇨🇭Switzerland 80,668 0 0
122 🇲🇷Mauritania 80,050 0 0
123 🇸🇰Slovakia 79,428 0 0
124 🇭🇰China, Hong Kong SAR 75,341 0 0
125 🇲🇳Mongolia 74,356 0 0
126 🇵🇷Puerto Rico 69,125 0 0
127 🇧🇦Bosnia and Herzegovina 68,778 0 0
128 🇵🇦Panama 65,889 0 0
129 🇴🇲Oman 65,864 0 0
130 🇯🇲Jamaica 63,497 0 0
131 🇫🇮Finland 63,376 0 0
132 🇱🇸Lesotho 62,512 0 0
133 🇩🇰Denmark 61,261 0 0
134 🇳🇴Norway 59,311 0 0
135 🇳🇿New Zealand 58,373 0 0
136 🇱🇹Lithuania 58,014 0 0
137 🇭🇷Croatia 57,348 0 0
138 🇺🇾Uruguay 56,418 0 0
139 🇽🇰Kosovo (under UNSC res. 1244) 52,803 0 0
140 🇮🇪Ireland 51,744 0 0
141 🇰🇼Kuwait 51,669 0 0
142 🇸🇬Singapore 49,421 0 0
143 🇳🇦Namibia 49,215 0 0
144 🇦🇪United Arab Emirates 46,831 0 0
145 🇧🇼Botswana 45,879 0 0
146 🇬🇲Gambia 45,596 0 0
147 🇬🇼Guinea-Bissau 43,912 0 0
148 🇱🇻Latvia 39,935 0 0
149 🇬🇦Gabon 36,387 0 0
150 🇲🇰North Macedonia 35,568 0 0
151 🇸🇿Eswatini 34,593 0 0
152 🇹🇱Timor-Leste 31,270 0 0
153 🇹🇹Trinidad and Tobago 27,739 0 0
154 🇪🇪Estonia 24,225 0 0
155 🇸🇮Slovenia 23,309 0 0
156 🇫🇯Fiji 22,973 0 0
157 🇬🇾Guyana 22,557 0 0
158 🇲🇺Mauritius 21,894 0 0
159 🇬🇶Equatorial Guinea 20,747 0 0
160 🇧🇹Bhutan 20,555 0 0
161 🇩🇯Djibouti 19,745 0 0
162 🇰🇲Comoros 17,897 0 0
163 🇷🇪Réunion 14,950 0 0
164 🇨🇾Cyprus 14,829 0 0
165 🇨🇻Cabo Verde 14,115 0 0
166 🇧🇭Bahrain 14,066 0 0
167 🇸🇷Suriname 12,689 0 0
168 🇸🇧Solomon Islands 12,091 0 0
169 🇶🇦Qatar 10,846 0 0
170 🇲🇪Montenegro 9,677 0 0
171 🇲🇻Maldives 9,402 0 0
172 🇬🇵Guadeloupe 7,445 0 0
173 🇧🇳Brunei Darussalam 7,298 0 0
174 🇲🇶Martinique 7,100 0 0
175 🇲🇴China, Macao SAR 6,984 0 0
176 🇪🇭Western Sahara 6,644 0 0
177 🇧🇿Belize 6,599 0 0
178 🇧🇸Bahamas 6,258 0 0
179 🇵🇫French Polynesia 6,042 0 0
180 🇲🇹Malta 5,662 0 0
181 🇼🇸Samoa 5,599 0 0
182 🇻🇺Vanuatu 5,590 0 0
183 🇸🇹Sao Tome and Principe 4,733 0 0
184 🇱🇺Luxembourg 4,649 0 0
185 🇮🇸Iceland 4,596 0 0
186 🇳🇨New Caledonia 4,249 0 0
187 🇧🇧Barbados 4,115 0 0
188 🇱🇨Saint Lucia 4,065 0 0
189 🇾🇹Mayotte 3,969 0 0
190 🇬🇺Guam 3,650 0 0
191 🇫🇲Micronesia (Fed. States of) 3,376 0 0
192 🇬🇫French Guiana 3,247 0 0
193 🇨🇼Curaçao 3,228 0 0
194 🇹🇴Tonga 3,045 0 0
195 🇬🇩Grenada 2,928 0 0
196 🇻🇨Saint Vincent and the Grenadines 2,730 0 0
197 🇰🇮Kiribati 2,727 0 0
198 🇻🇮United States Virgin Islands 2,370 0 0
199 🇲🇭Marshall Islands 1,971 0 0
200 🇩🇲Dominica 1,734 0 0
201 🇦🇸American Samoa 1,671 0 0
202 🇸🇨Seychelles 1,638 0 0
203 🇦🇬Antigua and Barbuda 1,347 0 0
204 🇦🇼Aruba 1,241 0 0
205 🇬🇱Greenland 1,213 0 0
206 🇯🇪Jersey 1,119 0 0
207 🇲🇵Northern Mariana Islands 1,010 0 0
208 🇰🇳Saint Kitts and Nevis 1,000 0 0
209 🇫🇴Faroe Islands 925 0 0
210 🇧🇲Bermuda 898 0 0
211 🇲🇫Saint Martin (French part) 874 0 0
212 🇮🇲Isle of Man 850 0 0
213 🇬🇬Guernsey 700 0 0
214 🇦🇩Andorra 629 0 0
215 🇸🇽Sint Maarten (Dutch part) 604 0 0
216 🇨🇰Cook Islands 506 0 0
217 🇬🇮Gibraltar 480 0 0
218 🇰🇾Cayman Islands 462 0 0
219 🇼🇫Wallis and Futuna Islands 400 0 0
220 🇱🇮Liechtenstein 370 0 0
221 🇲🇨Monaco 346 0 0
222 🇹🇨Turks and Caicos Islands 331 0 0
223 🇵🇼Palau 330 0 0
224 🇹🇻Tuvalu 305 0 0
225 🇳🇷Nauru 300 0 0
226 🇧🇶Bonaire, Sint Eustatius and Saba 238 0 0
227 🇸🇲San Marino 232 0 0
228 🇻🇬British Virgin Islands 218 0 0
229 🇲🇸Montserrat 196 0 0
230 🇦🇮Anguilla 167 0 0
231 🇸🇭Saint Helena 123 0 0
232 🇵🇲Saint Pierre and Miquelon 119 0 0
233 🇧🇱Saint Barthélemy 86 0 0
234 🇳🇺Niue 63 0 0
235 🇹🇰Tokelau 52 0 0
236 🇫🇰Falkland Islands (Malvinas) 29 0 0
237 🇻🇦Holy See 5 0 0

Regions with the Highest Birth Count in 1989

Rank Region Births Male Births Female Births
1 Asia 88,270,490 0 0
2 Africa 26,405,366 0 0
3 Latin America and the Caribbean 12,036,791 0 0
4 Europe 9,495,117 0 0
5 Northern America 4,445,354 0 0
6 Oceania 523,562 0 0

Sub-regions with the Highest Birth Count in 1989

Rank Sub-region Births Male Births Female Births
1 Southern Asia 39,905,581 0 0
2 Eastern Asia 30,032,543 0 0
3 South-Eastern Asia 11,950,687 0 0
4 Eastern Africa 8,948,343 0 0
5 Western Africa 7,988,525 0 0
6 South America 7,728,951 0 0
7 Western Asia 4,793,154 0 0
8 Northern Africa 4,725,791 0 0
9 Eastern Europe 4,469,430 0 0
10 Central America 3,429,951 0 0
11 Middle Africa 3,268,106 0 0
12 Western Europe 2,133,824 0 0
13 Southern Europe 1,631,307 0 0
14 Central Asia 1,588,525 0 0
15 Southern Africa 1,474,601 0 0
16 Northern Europe 1,260,556 0 0
17 Caribbean 877,889 0 0
18 Australia/New Zealand 308,117 0 0
19 Melanesia 184,400 0 0
20 Polynesia 17,681 0 0
21 Micronesia 13,364 0 0

Income Groups with the Highest Birth Count in 1989

Rank Income Group Births Male Births Female Births
1 Middle-income countries 112,552,379 0 0
2 Lower-middle-income countries 66,225,945 0 0
3 Upper-middle-income countries 46,326,434 0 0
4 High-income countries 14,529,522 0 0
5 Low-income countries 13,519,273 0 0
6 No income group available 575,506 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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