Annual Population Deaths by Country in 1976

-5 year -1 year 1976 +1 year +5 year

In the year 1976, a total of 47,407,648 people died across the globe. Out of this group, 24,939,127 were male and 22,468,521 were female.

The country with the highest death count was 🇮🇳India, with a total of 9,571,887 people dying for the year. Closely followed by 🇨🇳China with a death count of 7,928,454, and 🇺🇸United States of America with 1,869,770 deaths recorded.

The country with the lowest annual death count was 🇻🇦Holy See with 7 people. Followed by 🇹🇰Tokelau with a death count of 16, and 🇧🇱Saint Barthélemy with 20 deaths recorded.

The geographic region with the highest death count was Asia with a total of 27,355,722 people dying for the year. Closely followed by Africa with a death count 7709.523, and Europe with 7,085,837 deaths recorded for the year.

When devided into sub-subregions we can see that Southern Asia had the highest death count of 12,830,940 people. Closely followed by Eastern Asia with a death count of 9,153,501, and South-Eastern Asia with 3,807,902 deaths recorded.

If we devide the global population into income groups we can see that Middle-income countries has the highest death count of 34,744,806. While the lowest death count is recorded by No income group available were only 79,295 people died in that segment.

Similar Population Metrics for 1976

Countries with the Highest Death Count in 1976

Rank	Country	Deaths	Male Deaths	Female Deaths
1	🇮🇳India	9,571,887	4,833,770	4,738,117
2	🇨🇳China	7,928,454	4,248,419	3,680,035
3	🇺🇸United States of America	1,869,770	1,031,259	838,511
4	🇮🇩Indonesia	1,540,090	829,094	710,996
5	🇷🇺Russian Federation	1,360,229	668,939	691,290
6	🇳🇬Nigeria	1,324,372	683,439	640,933
7	🇧🇩Bangladesh	1,260,455	629,049	631,406
8	🇧🇷Brazil	1,065,005	589,583	475,422
9	🇩🇪Germany	967,313	468,240	499,073
10	🇵🇰Pakistan	900,018	487,405	412,613
11	🇪🇹Ethiopia	744,074	401,648	342,426
12	🇯🇵Japan	732,200	392,400	339,800
13	🇬🇧United Kingdom	680,810	342,025	338,785
14	🇪🇬Egypt	589,536	310,750	278,786
15	🇫🇷France	557,885	290,157	267,728
16	🇮🇹Italy	549,614	292,622	256,992
17	🇰🇭Cambodia	548,079	299,332	248,747
18	🇲🇽Mexico	500,754	282,637	218,118
19	🇺🇦Ukraine	498,564	237,187	261,377
20	🇨🇩Democratic Republic of the Congo	467,972	235,340	232,632
21	🇹🇷Türkiye	459,068	260,595	198,473
22	🇲🇲Myanmar	428,433	230,345	198,088
23	🇮🇷Iran (Islamic Republic of)	424,517	220,571	203,947
24	🇻🇳Viet Nam	416,628	237,197	179,431
25	🇵🇭Philippines	373,506	205,946	167,559
26	🇹🇭Thailand	336,727	188,076	148,651
27	🇵🇱Poland	306,574	165,043	141,532
28	🇪🇸Spain	297,814	155,182	142,632
29	🇦🇫Afghanistan	295,770	155,740	140,030
30	🇩🇿Algeria	285,646	148,717	136,930
31	🇿🇦South Africa	285,368	160,371	124,997
32	🇹🇿United Republic of Tanzania	281,251	149,595	131,656
33	🇳🇵Nepal	269,903	135,663	134,240
34	🇰🇷Republic of Korea	255,704	148,722	106,982
35	🇲🇦Morocco	248,833	128,405	120,428
36	🇦🇷Argentina	237,399	138,295	99,104
37	🇺🇬Uganda	228,142	125,226	102,917
38	🇲🇿Mozambique	217,696	112,069	105,627
39	🇷🇴Romania	208,663	105,737	102,926
40	🇵🇪Peru	190,390	101,751	88,638
41	🇲🇱Mali	189,129	98,817	90,312
42	🇸🇩Sudan	189,075	100,426	88,649
43	🇾🇪Yemen	172,273	91,739	80,534
44	🇨🇦Canada	167,609	97,008	70,601
45	🇬🇭Ghana	167,502	90,402	77,100
46	🇦🇴Angola	165,634	91,914	73,719
47	🇨🇴Colombia	165,226	89,598	75,628
48	🇰🇪Kenya	164,216	87,261	76,955
49	🇳🇪Niger	150,136	75,926	74,211
50	🇺🇿Uzbekistan	139,531	74,617	64,914
51	🇧🇫Burkina Faso	138,270	72,375	65,895
52	🇰🇿Kazakhstan	133,841	74,435	59,406
53	🇭🇺Hungary	132,122	68,334	63,788
54	🇲🇼Malawi	132,033	68,383	63,650
55	🇲🇬Madagascar	130,555	68,685	61,870
56	🇨🇲Cameroon	128,804	66,306	62,498
57	🇨🇿Czechia	125,320	65,163	60,156
58	🇨🇮Côte d'Ivoire	122,252	67,433	54,819
59	🇧🇪Belgium	118,940	62,471	56,469
60	🇰🇵Dem. People's Republic of Korea	118,102	57,858	60,244
61	🇳🇱Netherlands	114,274	63,849	50,426
62	🇦🇺Australia	112,698	62,546	50,152
63	🇬🇳Guinea	111,697	57,897	53,800
64	🇮🇶Iraq	108,325	58,624	49,701
65	🇸🇳Senegal	104,054	53,777	50,277
66	🇸🇸South Sudan	103,228	51,480	51,748
67	🇵🇹Portugal	101,535	53,018	48,517
68	🇬🇹Guatemala	100,524	52,955	47,569
69	🇱🇰Sri Lanka	99,149	58,314	40,835
70	🇹🇩Chad	96,688	50,863	45,826
71	🇷🇼Rwanda	95,815	48,873	46,942
72	🇦🇹Austria	95,089	45,794	49,295
73	🇧🇬Bulgaria	91,182	48,451	42,731
74	🇸🇪Sweden	90,724	49,650	41,074
75	🇸🇦Saudi Arabia	89,517	48,059	41,457
76	🇧🇴Bolivia (Plurinational State of)	89,113	45,978	43,134
77	🇭🇹Haiti	88,206	45,160	43,046
78	🇸🇴Somalia	87,327	45,573	41,754
79	🇬🇷Greece	86,329	46,650	39,679
80	🇧🇾Belarus	85,349	41,618	43,732
81	🇱🇧Lebanon	84,780	53,986	30,793
82	🇧🇮Burundi	82,434	41,848	40,585
83	🇨🇱Chile	77,450	42,961	34,489
84	🇻🇪Venezuela (Bolivarian Republic of)	77,401	43,926	33,475
85	🇸🇱Sierra Leone	74,780	38,558	36,222
86	🇹🇼China, Taiwan Province of China	73,287	42,857	30,431
87	🇿🇼Zimbabwe	72,905	39,315	33,589
88	🇧🇯Benin	72,272	37,121	35,151
89	🇲🇾Malaysia	70,486	39,402	31,084
90	🇪🇨Ecuador	70,289	37,281	33,008
91	🇿🇲Zambia	68,515	35,392	33,123
92	🇷🇸Serbia	68,098	35,424	32,674
93	🇸🇾Syrian Arab Republic	63,203	32,738	30,466
94	🇱🇦Lao People's Democratic Republic	59,142	30,526	28,616
95	🇨🇺Cuba	57,566	33,154	24,412
96	🇨🇭Switzerland	57,181	30,252	26,929
97	🇹🇳Tunisia	57,059	31,047	26,012
98	🇦🇿Azerbaijan	55,090	29,277	25,814
99	🇩🇰Denmark	54,102	29,294	24,808
100	🇸🇻El Salvador	52,253	29,632	22,621
101	🇬🇪Georgia	50,736	26,219	24,516
102	🇩🇴Dominican Republic	50,413	27,732	22,681
103	🇸🇰Slovakia	45,474	25,036	20,438
104	🇭🇷Croatia	44,975	23,721	21,253
105	🇫🇮Finland	44,776	24,423	20,353
106	🇲🇩Republic of Moldova	43,619	21,912	21,707
107	🇹🇬Togo	43,324	22,372	20,953
108	🇨🇫Central African Republic	40,782	21,113	19,669
109	🇳🇴Norway	40,164	21,878	18,286
110	🇹🇯Tajikistan	39,960	21,148	18,812
111	🇱🇷Liberia	37,427	20,172	17,255
112	🇰🇬Kyrgyzstan	36,847	19,179	17,668
113	🇭🇳Honduras	36,255	19,214	17,041
114	🇳🇮Nicaragua	34,450	18,621	15,828
115	🇮🇪Ireland	33,906	18,382	15,523
116	🇱🇹Lithuania	32,298	16,940	15,358
117	🇱🇻Latvia	30,862	15,041	15,821
118	🇪🇷Eritrea	30,669	16,672	13,997
119	🇵🇬Papua New Guinea	28,572	16,438	12,134
120	🇺🇾Uruguay	28,449	15,963	12,485
121	🇹🇲Turkmenistan	27,551	14,880	12,671
122	🇧🇦Bosnia and Herzegovina	26,708	14,767	11,942
123	🇳🇿New Zealand	25,452	13,996	11,456
124	🇮🇱Israel	24,530	13,769	10,761
125	🇵🇾Paraguay	24,188	12,398	11,790
126	🇦🇲Armenia	23,069	12,389	10,680
127	🇹🇱Timor-Leste	22,884	14,260	8,624
128	🇭🇰China, Hong Kong SAR	22,767	12,481	10,287
129	🇲🇳Mongolia	21,532	11,461	10,071
130	🇱🇾Libya	20,686	11,533	9,153
131	🇨🇬Congo	20,623	11,097	9,526
132	🇵🇷Puerto Rico	20,458	12,007	8,451
133	🇦🇱Albania	18,814	9,826	8,988
134	🇸🇮Slovenia	18,777	9,783	8,994
135	🇲🇷Mauritania	18,707	9,880	8,827
136	🇱🇸Lesotho	17,460	9,629	7,831
137	🇪🇪Estonia	17,312	8,119	9,191
138	🇯🇲Jamaica	16,537	7,972	8,564
139	🇬🇼Guinea-Bissau	15,909	8,526	7,384
140	🇯🇴Jordan	14,157	7,496	6,661
141	🇬🇲Gambia	13,716	7,184	6,532
142	🇲🇰North Macedonia	13,127	6,934	6,192
143	🇵🇸State of Palestine	12,736	6,796	5,940
144	🇴🇲Oman	11,561	6,159	5,402
145	🇨🇷Costa Rica	11,124	6,356	4,768
146	🇸🇬Singapore	11,101	6,610	4,491
147	🇵🇦Panama	10,975	6,093	4,882
148	🇳🇦Namibia	10,894	5,770	5,124
149	🇽🇰Kosovo (under UNSC res. 1244)	10,614	5,490	5,124
150	🇬🇦Gabon	10,385	5,357	5,028
151	🇬🇶Equatorial Guinea	10,066	5,476	4,591
152	🇧🇼Botswana	7,935	4,046	3,888
153	🇲🇺Mauritius	7,794	4,640	3,154
154	🇹🇹Trinidad and Tobago	7,750	4,263	3,488
155	🇧🇹Bhutan	6,985	3,757	3,228
156	🇸🇿Eswatini	6,835	3,477	3,358
157	🇬🇾Guyana	6,580	3,617	2,964
158	🇨🇾Cyprus	5,958	3,256	2,702
159	🇰🇼Kuwait	5,315	3,155	2,160
160	🇰🇲Comoros	5,193	2,789	2,405
161	🇱🇺Luxembourg	4,537	2,441	2,096
162	🇫🇯Fiji	4,380	2,566	1,814
163	🇲🇪Montenegro	4,050	2,078	1,972
164	🇸🇷Suriname	3,711	2,071	1,640
165	🇨🇻Cabo Verde	3,596	1,734	1,862
166	🇷🇪Réunion	3,500	1,950	1,550
167	🇩🇯Djibouti	3,436	1,824	1,612
168	🇦🇪United Arab Emirates	3,146	2,136	1,010
169	🇲🇹Malta	2,849	1,334	1,514
170	🇬🇵Guadeloupe	2,383	1,290	1,093
171	🇲🇶Martinique	2,350	1,292	1,058
172	🇲🇻Maldives	2,247	1,256	991
173	🇧🇧Barbados	2,116	997	1,119
174	🇸🇧Solomon Islands	1,919	1,197	722
175	🇲🇴China, Macao SAR	1,442	728	714
176	🇧🇭Bahrain	1,377	795	582
177	🇪🇭Western Sahara	1,366	898	468
178	🇮🇸Iceland	1,347	766	581
179	🇧🇸Bahamas	1,225	678	547
180	🇼🇸Samoa	1,148	656	492
181	🇳🇨New Caledonia	1,062	641	421
182	🇸🇹Sao Tome and Principe	1,039	545	494
183	🇧🇿Belize	1,039	565	474
184	🇮🇲Isle of Man	1,008	496	512
185	🇨🇼Curaçao	983	498	485
186	🇻🇺Vanuatu	929	511	418
187	🇯🇪Jersey	918	432	486
188	🇵🇫French Polynesia	911	510	401
189	🇱🇨Saint Lucia	852	439	413
190	🇧🇳Brunei Darussalam	845	473	372
191	🇶🇦Qatar	818	510	309
192	🇬🇩Grenada	763	364	400
193	🇰🇮Kiribati	714	366	347
194	🇻🇨Saint Vincent and the Grenadines	692	349	343
195	🇹🇴Tonga	631	388	243
196	🇸🇨Seychelles	618	350	268
197	🇬🇬Guernsey	594	284	309
198	🇫🇲Micronesia (Fed. States of)	549	314	235
199	🇻🇮United States Virgin Islands	543	307	236
200	🇩🇲Dominica	537	272	265
201	🇬🇺Guam	518	330	189
202	🇰🇳Saint Kitts and Nevis	512	257	254
203	🇲🇨Monaco	463	219	244
204	🇬🇫French Guiana	432	253	179
205	🇦🇬Antigua and Barbuda	385	190	194
206	🇧🇲Bermuda	376	215	161
207	🇦🇼Aruba	353	212	142
208	🇬🇱Greenland	352	200	152
209	🇫🇴Faroe Islands	295	157	138
210	🇾🇹Mayotte	284	161	124
211	🇲🇭Marshall Islands	282	166	116
212	🇬🇮Gibraltar	235	110	125
213	🇱🇮Liechtenstein	227	115	112
214	🇦🇸American Samoa	157	96	61
215	🇸🇲San Marino	150	83	67
216	🇲🇸Montserrat	142	65	77
217	🇵🇼Palau	131	84	47
218	🇦🇩Andorra	124	77	47
219	🇨🇰Cook Islands	124	72	51
220	🇰🇾Cayman Islands	123	63	61
221	🇼🇫Wallis and Futuna Islands	113	61	52
222	🇧🇶Bonaire, Sint Eustatius and Saba	95	45	50
223	🇲🇵Northern Mariana Islands	80	47	33
224	🇹🇻Tuvalu	71	36	35
225	🇻🇬British Virgin Islands	68	44	24
226	🇦🇮Anguilla	65	34	31
227	🇸🇭Saint Helena	58	30	27
228	🇳🇷Nauru	58	39	19
229	🇵🇲Saint Pierre and Miquelon	44	25	19
230	🇹🇨Turks and Caicos Islands	40	20	20
231	🇸🇽Sint Maarten (Dutch part)	39	19	20
232	🇫🇰Falkland Islands (Malvinas)	37	22	16
233	🇳🇺Niue	36	20	15
234	🇲🇫Saint Martin (French part)	33	18	15
235	🇧🇱Saint Barthélemy	20	10	10
236	🇹🇰Tokelau	16	7	9
237	🇻🇦Holy See	7	4	3

Regions with the Highest Death Count in 1976

Rank	Region	Deaths	Male Deaths	Female Deaths
1	Asia	27,355,722	14,383,649	12,972,073
2	Africa	7,709,523	4,052,430	3,657,093
3	Europe	7,085,837	3,595,913	3,489,924
4	Latin America and the Caribbean	3,038,075	1,677,413	1,360,662
5	Northern America	2,038,122	1,128,698	909,424
6	Oceania	180,369	101,024	79,345

Sub-regions with the Highest Death Count in 1976

Rank	Sub-region	Deaths	Male Deaths	Female Deaths
1	Southern Asia	12,830,940	6,525,528	6,305,412
2	Eastern Asia	9,153,501	4,914,923	4,238,578
3	South-Eastern Asia	3,807,902	2,081,246	1,726,655
4	Eastern Europe	2,897,107	1,447,422	1,449,685
5	Western Africa	2,587,180	1,345,634	1,241,546
6	Eastern Africa	2,459,642	1,303,710	1,155,932
7	South America	2,035,658	1,123,676	911,982
8	Western Europe	1,915,886	963,536	952,350
9	Northern Africa	1,392,212	731,777	660,435
10	Southern Europe	1,243,754	657,079	586,675
11	Western Asia	1,185,645	657,684	527,961
12	Northern Europe	1,029,089	527,876	501,214
13	Middle Africa	941,991	488,012	453,979
14	Central America	747,373	416,077	331,296
15	Central Asia	377,734	204,267	173,467
16	Southern Africa	328,498	183,297	145,201
17	Caribbean	255,044	137,660	117,384
18	Australia/New Zealand	138,153	76,544	61,609
19	Melanesia	36,843	21,351	15,492
20	Polynesia	3,087	1,793	1,294
21	Micronesia	2,286	1,336	950

Income Groups with the Highest Death Count in 1976

Rank	Income Group	Deaths	Male Deaths	Female Deaths
1	Middle-income countries	34,744,806	18,248,566	16,496,240
2	Lower-middle-income countries	20,950,925	10,844,135	10,106,790
3	Upper-middle-income countries	13,793,881	7,404,431	6,389,450
4	High-income countries	8,444,847	4,482,008	3,962,839
5	Low-income countries	4,138,700	2,163,461	1,975,239
6	No income group available	79,295	45,092	34,203

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.