database.earth

Annual Population Births by Country in 2068

-5 year -1 year 2068 +1 year +5 year

In the year 2068, It is projected that 125,546,778 babies will be born globally. Out of this group, 55,880,603 will be male and 52,673,780 female.

The country with the highest birth count is projected to be 🇮🇳India, with a total of 16,791,470 people dying for the year. Closely followed by 🇳🇬Nigeria with a birth count of 7,747,113, and 🇵🇰Pakistan with 7,414,849 births recorded.

The country with the lowest annual birth count is projected to be 🇻🇦Holy See with only 6 babies born for the year. Followed by 🇵🇲Saint Pierre and Miquelon with a birth count of 22, and 🇫🇰Falkland Islands (Malvinas) with 22 births recorded.

The geographic region with the highest birth count is projected to be Africa with a total of 56,535,037 people dying for the year. Closely followed by Asia with a birth count 51956.272, and Americas with 10,874,706 births recorded for the year.

When devided into sub-subregions we can see that Southern Asia had the highest birth count of 29,850,097 people. Closely followed by Eastern Africa with a birth count of 19,965,952, and Western Africa with 16,881,732 births recorded.

If we devide the global population into income groups we can see that Low-and-middle-income countries has the highest birth count of 113,989,278. While the lowest birth count is recorded by No income group available were only 348,122 newborns will be added to that segment.

Similar Population Metrics for 2068

Countries with the Highest Birth Count in 2068

Rank Country Births Male Births Female Births
1 🇮🇳India 16,791,470 0 0
2 🇳🇬Nigeria 7,747,113 0 0
3 🇵🇰Pakistan 7,414,849 0 0
4 🇨🇩Democratic Republic of the Congo 6,848,272 0 0
5 🇨🇳China 4,976,513 0 0
6 🇪🇹Ethiopia 4,866,244 0 0
7 🇺🇸United States of America 3,850,245 0 0
8 🇹🇿United Republic of Tanzania 3,832,580 0 0
9 🇮🇩Indonesia 3,534,902 0 0
10 🇪🇬Egypt 2,550,756 0 0
11 🇧🇩Bangladesh 2,323,138 0 0
12 🇦🇴Angola 2,247,121 0 0
13 🇸🇩Sudan 2,033,869 0 0
14 🇦🇫Afghanistan 1,908,345 0 0
15 🇺🇬Uganda 1,728,945 0 0
16 🇧🇷Brazil 1,682,354 0 0
17 🇲🇿Mozambique 1,616,916 0 0
18 🇨🇮Côte d'Ivoire 1,587,216 0 0
19 🇾🇪Yemen 1,567,403 0 0
20 🇰🇪Kenya 1,539,730 0 0
21 🇲🇽Mexico 1,421,781 0 0
22 🇵🇭Philippines 1,412,453 0 0
23 🇳🇪Niger 1,409,094 0 0
24 🇮🇶Iraq 1,343,540 0 0
25 🇲🇱Mali 1,323,178 0 0
26 🇨🇲Cameroon 1,311,352 0 0
27 🇲🇬Madagascar 1,270,146 0 0
28 🇷🇺Russian Federation 1,216,506 0 0
29 🇹🇩Chad 1,214,167 0 0
30 🇸🇴Somalia 1,129,403 0 0
31 🇿🇦South Africa 1,119,028 0 0
32 🇻🇳Viet Nam 1,010,492 0 0
33 🇬🇭Ghana 975,434 0 0
34 🇺🇿Uzbekistan 958,891 0 0
35 🇿🇲Zambia 942,713 0 0
36 🇲🇼Malawi 824,068 0 0
37 🇮🇷Iran (Islamic Republic of) 797,335 0 0
38 🇧🇫Burkina Faso 778,416 0 0
39 🇩🇿Algeria 711,731 0 0
40 🇬🇧United Kingdom 675,791 0 0
41 🇸🇦Saudi Arabia 675,500 0 0
42 🇸🇳Senegal 671,735 0 0
43 🇹🇷Türkiye 657,888 0 0
44 🇫🇷France 652,765 0 0
45 🇯🇵Japan 644,256 0 0
46 🇧🇯Benin 632,254 0 0
47 🇲🇲Myanmar 629,662 0 0
48 🇩🇪Germany 623,150 0 0
49 🇧🇮Burundi 596,593 0 0
50 🇿🇼Zimbabwe 575,012 0 0
51 🇸🇾Syrian Arab Republic 531,909 0 0
52 🇬🇳Guinea 512,609 0 0
53 🇨🇴Colombia 463,504 0 0
54 🇷🇼Rwanda 457,799 0 0
55 🇲🇦Morocco 450,680 0 0
56 🇰🇿Kazakhstan 423,757 0 0
57 🇲🇾Malaysia 420,800 0 0
58 🇹🇬Togo 408,604 0 0
59 🇵🇪Peru 405,252 0 0
60 🇨🇦Canada 402,635 0 0
61 🇹🇭Thailand 402,402 0 0
62 🇦🇷Argentina 384,520 0 0
63 🇸🇸South Sudan 381,331 0 0
64 🇳🇵Nepal 367,332 0 0
65 🇦🇺Australia 352,001 0 0
66 🇻🇪Venezuela (Bolivarian Republic of) 338,289 0 0
67 🇨🇫Central African Republic 310,751 0 0
68 🇬🇹Guatemala 307,738 0 0
69 🇮🇹Italy 300,425 0 0
70 🇰🇭Cambodia 293,714 0 0
71 🇨🇬Congo 293,278 0 0
72 🇪🇸Spain 282,680 0 0
73 🇹🇯Tajikistan 277,851 0 0
74 🇵🇬Papua New Guinea 259,524 0 0
75 🇲🇷Mauritania 248,006 0 0
76 🇸🇱Sierra Leone 242,928 0 0
77 🇯🇴Jordan 238,671 0 0
78 🇱🇰Sri Lanka 236,160 0 0
79 🇦🇪United Arab Emirates 231,847 0 0
80 🇧🇴Bolivia (Plurinational State of) 228,444 0 0
81 🇮🇱Israel 219,084 0 0
82 🇭🇹Haiti 211,147 0 0
83 🇰🇵Dem. People's Republic of Korea 204,946 0 0
84 🇭🇳Honduras 201,163 0 0
85 🇪🇨Ecuador 199,367 0 0
86 🇱🇷Liberia 192,598 0 0
87 🇵🇱Poland 174,589 0 0
88 🇰🇷Republic of Korea 163,526 0 0
89 🇳🇱Netherlands 160,649 0 0
90 🇰🇬Kyrgyzstan 150,740 0 0
91 🇵🇸State of Palestine 145,084 0 0
92 🇩🇴Dominican Republic 141,778 0 0
93 🇺🇦Ukraine 130,327 0 0
94 🇹🇲Turkmenistan 127,420 0 0
95 🇷🇴Romania 119,824 0 0
96 🇪🇷Eritrea 118,518 0 0
97 🇱🇦Lao People's Democratic Republic 116,287 0 0
98 🇹🇳Tunisia 112,237 0 0
99 🇴🇲Oman 111,533 0 0
100 🇨🇱Chile 111,156 0 0
101 🇵🇾Paraguay 110,239 0 0
102 🇦🇿Azerbaijan 107,481 0 0
103 🇱🇾Libya 104,671 0 0
104 🇳🇮Nicaragua 99,876 0 0
105 🇸🇪Sweden 95,983 0 0
106 🇧🇪Belgium 95,948 0 0
107 🇬🇦Gabon 91,498 0 0
108 🇳🇦Namibia 82,355 0 0
109 🇵🇹Portugal 81,879 0 0
110 🇱🇧Lebanon 81,702 0 0
111 🇬🇲Gambia 79,044 0 0
112 🇰🇼Kuwait 77,423 0 0
113 🇨🇿Czechia 77,325 0 0
114 🇨🇭Switzerland 76,177 0 0
115 🇹🇼China, Taiwan Province of China 74,746 0 0
116 🇬🇶Equatorial Guinea 71,063 0 0
117 🇭🇺Hungary 70,529 0 0
118 🇬🇼Guinea-Bissau 69,329 0 0
119 🇲🇳Mongolia 64,828 0 0
120 🇶🇦Qatar 62,967 0 0
121 🇦🇹Austria 62,195 0 0
122 🇵🇦Panama 61,912 0 0
123 🇸🇻El Salvador 57,967 0 0
124 🇨🇺Cuba 54,693 0 0
125 🇩🇰Denmark 54,666 0 0
126 🇬🇷Greece 54,031 0 0
127 🇳🇿New Zealand 53,024 0 0
128 🇮🇪Ireland 51,477 0 0
129 🇧🇼Botswana 49,779 0 0
130 🇳🇴Norway 48,085 0 0
131 🇱🇸Lesotho 46,921 0 0
132 🇧🇾Belarus 41,657 0 0
133 🇫🇮Finland 38,991 0 0
134 🇧🇬Bulgaria 38,985 0 0
135 🇷🇸Serbia 37,363 0 0
136 🇸🇬Singapore 33,773 0 0
137 🇸🇰Slovakia 33,387 0 0
138 🇨🇷Costa Rica 33,138 0 0
139 🇬🇪Georgia 31,835 0 0
140 🇧🇭Bahrain 27,792 0 0
141 🇰🇲Comoros 27,576 0 0
142 🇸🇧Solomon Islands 25,940 0 0
143 🇹🇱Timor-Leste 25,069 0 0
144 🇩🇯Djibouti 23,510 0 0
145 🇺🇾Uruguay 21,815 0 0
146 🇸🇿Eswatini 20,967 0 0
147 🇭🇷Croatia 20,956 0 0
148 🇦🇲Armenia 18,394 0 0
149 🇾🇹Mayotte 18,299 0 0
150 🇲🇩Republic of Moldova 18,044 0 0
151 🇸🇮Slovenia 14,960 0 0
152 🇧🇦Bosnia and Herzegovina 14,174 0 0
153 🇯🇲Jamaica 12,929 0 0
154 🇻🇺Vanuatu 12,311 0 0
155 🇫🇯Fiji 12,132 0 0
156 🇬🇾Guyana 11,860 0 0
157 🇱🇹Lithuania 11,353 0 0
158 🇽🇰Kosovo (under UNSC res. 1244) 11,321 0 0
159 🇭🇰China, Hong Kong SAR 11,172 0 0
160 🇨🇾Cyprus 11,097 0 0
161 🇦🇱Albania 10,585 0 0
162 🇹🇹Trinidad and Tobago 9,509 0 0
163 🇬🇫French Guiana 9,415 0 0
164 🇷🇪Réunion 9,339 0 0
165 🇪🇭Western Sahara 9,169 0 0
166 🇲🇰North Macedonia 8,944 0 0
167 🇱🇻Latvia 8,887 0 0
168 🇸🇷Suriname 8,516 0 0
169 🇸🇹Sao Tome and Principe 7,687 0 0
170 🇵🇷Puerto Rico 7,685 0 0
171 🇪🇪Estonia 7,671 0 0
172 🇧🇹Bhutan 6,986 0 0
173 🇱🇺Luxembourg 6,575 0 0
174 🇼🇸Samoa 5,961 0 0
175 🇲🇺Mauritius 5,889 0 0
176 🇧🇿Belize 4,919 0 0
177 🇧🇳Brunei Darussalam 4,694 0 0
178 🇲🇻Maldives 4,484 0 0
179 🇨🇻Cabo Verde 4,144 0 0
180 🇲🇪Montenegro 3,815 0 0
181 🇧🇸Bahamas 3,617 0 0
182 🇳🇨New Caledonia 3,478 0 0
183 🇰🇮Kiribati 3,351 0 0
184 🇮🇸Iceland 3,241 0 0
185 🇬🇵Guadeloupe 2,818 0 0
186 🇲🇹Malta 2,783 0 0
187 🇬🇺Guam 2,419 0 0
188 🇲🇶Martinique 2,198 0 0
189 🇲🇴China, Macao SAR 2,133 0 0
190 🇧🇧Barbados 2,116 0 0
191 🇫🇲Micronesia (Fed. States of) 1,820 0 0
192 🇵🇫French Polynesia 1,762 0 0
193 🇹🇴Tonga 1,749 0 0
194 🇸🇨Seychelles 1,338 0 0
195 🇱🇨Saint Lucia 1,127 0 0
196 🇰🇾Cayman Islands 997 0 0
197 🇨🇼Curaçao 962 0 0
198 🇯🇪Jersey 867 0 0
199 🇦🇼Aruba 805 0 0
200 🇬🇩Grenada 767 0 0
201 🇻🇨Saint Vincent and the Grenadines 762 0 0
202 🇦🇬Antigua and Barbuda 703 0 0
203 🇫🇴Faroe Islands 701 0 0
204 🇻🇮United States Virgin Islands 675 0 0
205 🇮🇲Isle of Man 552 0 0
206 🇩🇲Dominica 520 0 0
207 🇬🇮Gibraltar 505 0 0
208 🇬🇬Guernsey 462 0 0
209 🇬🇱Greenland 456 0 0
210 🇲🇵Northern Mariana Islands 454 0 0
211 🇲🇨Monaco 445 0 0
212 🇸🇽Sint Maarten (Dutch part) 407 0 0
213 🇦🇸American Samoa 389 0 0
214 🇦🇩Andorra 382 0 0
215 🇱🇮Liechtenstein 372 0 0
216 🇹🇨Turks and Caicos Islands 370 0 0
217 🇲🇭Marshall Islands 368 0 0
218 🇧🇲Bermuda 331 0 0
219 🇰🇳Saint Kitts and Nevis 322 0 0
220 🇳🇷Nauru 317 0 0
221 🇧🇶Bonaire, Sint Eustatius and Saba 260 0 0
222 🇻🇬British Virgin Islands 242 0 0
223 🇸🇲San Marino 232 0 0
224 🇲🇫Saint Martin (French part) 181 0 0
225 🇹🇻Tuvalu 173 0 0
226 🇵🇼Palau 137 0 0
227 🇦🇮Anguilla 89 0 0
228 🇨🇰Cook Islands 86 0 0
229 🇧🇱Saint Barthélemy 67 0 0
230 🇼🇫Wallis and Futuna Islands 67 0 0
231 🇹🇰Tokelau 54 0 0
232 🇳🇺Niue 30 0 0
233 🇸🇭Saint Helena 28 0 0
234 🇲🇸Montserrat 26 0 0
235 🇫🇰Falkland Islands (Malvinas) 22 0 0
236 🇵🇲Saint Pierre and Miquelon 22 0 0
237 🇻🇦Holy See 6 0 0

Regions with the Highest Birth Count in 2068

Rank Region Births Male Births Female Births
1 Africa 56,535,037 0 0
2 Asia 51,956,272 0 0
3 Americas 10,874,706 0 0
4 Latin America and the Caribbean 6,621,018 0 0
5 Europe 5,443,218 0 0
6 Northern America 4,253,688 0 0
7 Oceania 737,545 0 0

Sub-regions with the Highest Birth Count in 2068

Rank Sub-region Births Male Births Female Births
1 Southern Asia 29,850,097 0 0
2 Eastern Africa 19,965,952 0 0
3 Western Africa 16,881,732 0 0
4 Middle Africa 12,395,190 0 0
5 South-Eastern Asia 7,884,244 0 0
6 Eastern Asia 6,142,123 0 0
7 Western Asia 6,141,148 0 0
8 Northern Africa 5,973,113 0 0
9 South America 3,974,752 0 0
10 Central America 2,188,492 0 0
11 Central Asia 1,938,660 0 0
12 Eastern Europe 1,921,176 0 0
13 Western Europe 1,678,277 0 0
14 Southern Africa 1,319,050 0 0
15 Northern Europe 998,726 0 0
16 Southern Europe 845,039 0 0
17 Caribbean 457,774 0 0
18 Australia/New Zealand 405,025 0 0
19 Melanesia 313,385 0 0
20 Polynesia 10,270 0 0
21 Micronesia 8,865 0 0

Income Groups with the Highest Birth Count in 2068

Rank Income Group Births Male Births Female Births
1 Low-and-middle-income countries 113,989,278 0 0
2 Low-and-Lower-middle-income countries 93,562,673 0 0
3 Middle-income countries 81,876,458 0 0
4 Lower-middle-income countries 61,449,853 0 0
5 Low-income countries 32,112,820 0 0
6 High-and-upper-middle-income countries 31,633,165 0 0
7 Upper-middle-income countries 20,426,605 0 0
8 High-income countries 11,206,560 0 0
9 No income group available 348,122 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 2024.

Data Published: 2024-07-11

Data Sources

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

UN Revision of World Population Prospects 2024

Data Disclaimer

People at database.earth has not verified data entry and collection processes in person. We take all open data provided by this source 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.