Annual Population Deaths by Country in 2015

-5 year -1 year 2015 +1 year +5 year

In the year 2015, a total of 55,893,034 people died across the globe. Out of this group, 30,032,499 were male and 25,860,535 were female.

The country with the highest death count was 🇨🇳China, with a total of 9,449,728 people dying for the year. Closely followed by 🇮🇳India with a death count of 8,825,601, and 🇺🇸United States of America with 2,699,590 deaths recorded.

The country with the lowest annual death count was 🇻🇦Holy See with 10 people. Followed by 🇹🇰Tokelau with a death count of 13, and 🇳🇺Niue with 23 deaths recorded.

The geographic region with the highest death count was Asia with a total of 29,933,580 people dying for the year. Closely followed by Africa with a death count 10646.59, and Europe with 8,177,599 deaths recorded for the year.

When devided into sub-subregions we can see that Southern Asia had the highest death count of 12,245,915 people. Closely followed by Eastern Asia with a death count of 11,566,126, and South-Eastern Asia with 4,370,579 deaths recorded.

If we devide the global population into income groups we can see that Middle-income countries has the highest death count of 39,865,793. While the lowest death count is recorded by No income group available were only 186,757 people died in that segment.

Similar Population Metrics for 2015

Countries with the Highest Death Count in 2015

Rank	Country	Deaths	Male Deaths	Female Deaths
1	🇨🇳China	9,449,728	5,358,701	4,091,027
2	🇮🇳India	8,825,601	4,755,438	4,070,163
3	🇺🇸United States of America	2,699,590	1,392,481	1,307,108
4	🇳🇬Nigeria	2,541,011	1,290,261	1,250,750
5	🇮🇩Indonesia	1,932,676	1,020,071	912,605
6	🇷🇺Russian Federation	1,873,440	954,429	919,011
7	🇵🇰Pakistan	1,504,820	858,644	646,176
8	🇯🇵Japan	1,405,072	715,073	689,999
9	🇧🇷Brazil	1,319,930	737,466	582,464
10	🇩🇪Germany	926,561	449,657	476,904
11	🇧🇩Bangladesh	912,490	521,802	390,688
12	🇨🇩Democratic Republic of the Congo	817,713	431,010	386,702
13	🇪🇹Ethiopia	738,626	416,674	321,952
14	🇲🇽Mexico	721,944	406,562	315,383
15	🇮🇹Italy	642,236	304,617	337,619
16	🇬🇧United Kingdom	601,754	292,155	309,599
17	🇺🇦Ukraine	596,083	304,656	291,428
18	🇻🇳Viet Nam	594,095	336,037	258,058
19	🇵🇭Philippines	590,944	300,149	290,795
20	🇫🇷France	582,205	290,159	292,047
21	🇪🇬Egypt	569,391	308,772	260,619
22	🇿🇦South Africa	514,293	259,860	254,433
23	🇹🇭Thailand	472,520	281,517	191,003
24	🇲🇲Myanmar	446,949	245,996	200,953
25	🇪🇸Spain	420,377	211,538	208,839
26	🇹🇷Türkiye	407,307	226,369	180,938
27	🇵🇱Poland	395,527	204,861	190,666
28	🇮🇷Iran (Islamic Republic of)	394,524	226,061	168,463
29	🇹🇿United Republic of Tanzania	365,045	198,949	166,095
30	🇰🇪Kenya	345,318	184,135	161,183
31	🇦🇷Argentina	326,265	171,986	154,279
32	🇰🇷Republic of Korea	278,713	154,570	124,143
33	🇸🇩Sudan	267,594	150,801	116,793
34	🇷🇴Romania	265,287	135,649	129,637
35	🇨🇦Canada	264,204	133,408	130,795
36	🇲🇿Mozambique	255,083	134,098	120,985
37	🇺🇬Uganda	249,412	131,404	118,008
38	🇦🇫Afghanistan	248,560	133,809	114,751
39	🇦🇴Angola	247,967	133,677	114,290
40	🇨🇴Colombia	243,633	136,964	106,669
41	🇨🇮Côte d'Ivoire	225,318	121,374	103,944
42	🇬🇭Ghana	224,502	119,615	104,888
43	🇨🇲Cameroon	211,090	110,950	100,140
44	🇳🇵Nepal	204,456	106,581	97,875
45	🇰🇵Dem. People's Republic of Korea	204,324	93,109	111,215
46	🇲🇦Morocco	198,094	108,959	89,135
47	🇵🇪Peru	197,692	106,976	90,716
48	🇹🇩Chad	193,993	102,433	91,560
49	🇺🇿Uzbekistan	192,576	104,008	88,568
50	🇮🇶Iraq	187,339	96,172	91,168
51	🇲🇱Mali	185,256	96,593	88,663
52	🇻🇪Venezuela (Bolivarian Republic of)	183,274	108,332	74,942
53	🇧🇫Burkina Faso	180,442	92,807	87,635
54	🇳🇪Niger	177,125	91,399	85,726
55	🇩🇿Algeria	175,550	93,162	82,388
56	🇲🇬Madagascar	175,196	95,919	79,278
57	🇾🇪Yemen	175,134	99,269	75,864
58	🇸🇴Somalia	171,470	91,861	79,609
59	🇹🇼China, Taiwan Province of China	159,321	94,078	65,242
60	🇲🇾Malaysia	158,136	92,467	65,670
61	🇦🇺Australia	157,076	80,319	76,756
62	🇱🇰Sri Lanka	149,258	87,923	61,336
63	🇳🇱Netherlands	147,236	71,062	76,175
64	🇰🇿Kazakhstan	147,198	77,503	69,695
65	🇸🇾Syrian Arab Republic	143,047	86,937	56,110
66	🇲🇼Malawi	135,632	72,941	62,691
67	🇭🇺Hungary	131,660	63,479	68,182
68	🇧🇾Belarus	127,107	63,237	63,870
69	🇸🇸South Sudan	124,768	64,839	59,929
70	🇬🇳Guinea	124,525	62,721	61,803
71	🇿🇼Zimbabwe	124,445	62,731	61,715
72	🇬🇷Greece	119,604	67,416	52,188
73	🇿🇲Zambia	116,885	62,368	54,516
74	🇧🇬Bulgaria	116,272	59,440	56,832
75	🇨🇿Czechia	111,161	55,833	55,328
76	🇧🇪Belgium	110,843	53,722	57,120
77	🇨🇱Chile	109,199	58,036	51,163
78	🇵🇹Portugal	108,687	54,246	54,441
79	🇧🇯Benin	107,775	55,627	52,147
80	🇷🇸Serbia	104,426	53,781	50,645
81	🇨🇺Cuba	102,842	56,015	46,827
82	🇧🇮Burundi	92,775	49,285	43,490
83	🇸🇪Sweden	90,926	44,448	46,477
84	🇰🇭Cambodia	89,724	46,528	43,196
85	🇸🇳Senegal	87,797	46,916	40,881
86	🇭🇹Haiti	86,560	47,191	39,369
87	🇸🇦Saudi Arabia	83,169	52,711	30,458
88	🇦🇹Austria	83,022	39,804	43,218
89	🇬🇹Guatemala	81,279	46,237	35,042
90	🇧🇴Bolivia (Plurinational State of)	80,069	44,045	36,023
91	🇸🇱Sierra Leone	78,359	40,048	38,311
92	🇷🇼Rwanda	78,346	39,547	38,799
93	🇪🇨Ecuador	77,266	42,018	35,248
94	🇹🇬Togo	68,513	34,138	34,375
95	🇨🇭Switzerland	67,634	32,619	35,015
96	🇹🇳Tunisia	67,233	39,223	28,010
97	🇦🇿Azerbaijan	66,978	36,997	29,982
98	🇩🇴Dominican Republic	61,310	35,671	25,639
99	🇨🇫Central African Republic	58,936	31,570	27,366
100	🇵🇬Papua New Guinea	57,075	34,858	22,217
101	🇭🇷Croatia	56,685	27,511	29,174
102	🇸🇰Slovakia	53,749	27,420	26,329
103	🇩🇰Denmark	52,741	26,349	26,392
104	🇫🇮Finland	52,187	25,844	26,343
105	🇱🇦Lao People's Democratic Republic	51,051	27,451	23,601
106	🇭🇰China, Hong Kong SAR	48,357	26,684	21,673
107	🇬🇪Georgia	47,346	25,786	21,560
108	🇲🇩Republic of Moldova	46,735	25,180	21,555
109	🇹🇯Tajikistan	46,344	26,663	19,682
110	🇱🇷Liberia	44,883	23,101	21,782
111	🇸🇻El Salvador	44,230	25,337	18,892
112	🇱🇹Lithuania	43,765	21,493	22,272
113	🇮🇱Israel	43,451	21,956	21,495
114	🇧🇦Bosnia and Herzegovina	42,532	20,372	22,160
115	🇳🇴Norway	40,759	19,711	21,047
116	🇭🇳Honduras	38,560	21,784	16,776
117	🇹🇲Turkmenistan	37,687	20,921	16,766
118	🇨🇬Congo	36,512	18,747	17,765
119	🇰🇬Kyrgyzstan	36,301	19,846	16,456
120	🇵🇾Paraguay	33,698	18,919	14,779
121	🇱🇾Libya	33,624	20,268	13,356
122	🇺🇾Uruguay	32,549	16,388	16,161
123	🇲🇷Mauritania	31,503	16,975	14,528
124	🇱🇸Lesotho	31,437	16,601	14,836
125	🇵🇷Puerto Rico	30,876	17,691	13,185
126	🇳🇿New Zealand	30,037	15,299	14,739
127	🇮🇪Ireland	29,845	15,056	14,789
128	🇱🇻Latvia	29,737	13,903	15,834
129	🇯🇴Jordan	29,297	16,971	12,325
130	🇳🇮Nicaragua	29,251	16,379	12,871
131	🇦🇲Armenia	27,774	14,718	13,056
132	🇱🇧Lebanon	27,578	13,933	13,645
133	🇨🇷Costa Rica	24,629	13,804	10,825
134	🇸🇬Singapore	23,533	13,022	10,510
135	🇦🇱Albania	22,954	13,262	9,692
136	🇪🇷Eritrea	22,397	11,823	10,574
137	🇳🇦Namibia	20,761	11,115	9,646
138	🇲🇰North Macedonia	19,853	10,527	9,325
139	🇸🇮Slovenia	19,715	9,648	10,067
140	🇵🇦Panama	19,268	10,990	8,278
141	🇯🇲Jamaica	18,631	9,481	9,149
142	🇲🇳Mongolia	18,252	10,810	7,442
143	🇬🇲Gambia	17,453	9,025	8,428
144	🇧🇼Botswana	17,131	9,096	8,036
145	🇬🇼Guinea-Bissau	16,505	8,735	7,770
146	🇪🇪Estonia	15,297	7,226	8,071
147	🇬🇦Gabon	15,004	8,399	6,605
148	🇵🇸State of Palestine	14,860	8,116	6,744
149	🇬🇶Equatorial Guinea	12,868	6,928	5,940
150	🇸🇿Eswatini	12,760	6,913	5,847
151	🇹🇹Trinidad and Tobago	9,926	5,556	4,369
152	🇲🇺Mauritius	9,803	5,424	4,379
153	🇹🇱Timor-Leste	9,125	4,972	4,153
154	🇴🇲Oman	9,102	5,802	3,300
155	🇦🇪United Arab Emirates	9,044	6,457	2,587
156	🇩🇯Djibouti	8,644	4,693	3,952
157	🇽🇰Kosovo (under UNSC res. 1244)	8,548	4,791	3,758
158	🇨🇾Cyprus	7,534	3,983	3,551
159	🇫🇯Fiji	7,428	4,067	3,360
160	🇰🇼Kuwait	6,657	4,558	2,099
161	🇲🇪Montenegro	6,400	3,294	3,106
162	🇰🇲Comoros	6,348	3,499	2,849
163	🇬🇾Guyana	5,635	3,206	2,429
164	🇧🇹Bhutan	5,028	2,833	2,195
165	🇷🇪Réunion	4,719	2,596	2,124
166	🇸🇷Suriname	4,156	2,353	1,803
167	🇱🇺Luxembourg	3,990	1,965	2,025
168	🇸🇧Solomon Islands	3,227	1,836	1,391
169	🇲🇹Malta	3,208	1,699	1,509
170	🇨🇻Cabo Verde	3,149	1,726	1,423
171	🇲🇶Martinique	3,011	1,534	1,477
172	🇬🇵Guadeloupe	2,968	1,592	1,376
173	🇪🇭Western Sahara	2,962	1,790	1,172
174	🇧🇭Bahrain	2,842	1,774	1,068
175	🇧🇸Bahamas	2,636	1,452	1,184
176	🇧🇧Barbados	2,440	1,190	1,250
177	🇶🇦Qatar	2,399	1,795	604
178	🇲🇴China, Macao SAR	2,358	1,301	1,057
179	🇮🇸Iceland	2,183	1,068	1,116
180	🇧🇳Brunei Darussalam	1,809	1,046	763
181	🇧🇿Belize	1,688	1,038	650
182	🇻🇺Vanuatu	1,661	962	700
183	🇨🇼Curaçao	1,480	830	650
184	🇳🇨New Caledonia	1,477	902	575
185	🇱🇨Saint Lucia	1,353	753	600
186	🇸🇹Sao Tome and Principe	1,252	696	556
187	🇻🇮United States Virgin Islands	1,243	783	460
188	🇲🇻Maldives	1,167	697	470
189	🇼🇸Samoa	1,083	600	484
190	🇬🇺Guam	1,006	608	398
191	🇬🇫French Guiana	935	553	382
192	🇮🇲Isle of Man	913	454	459
193	🇬🇩Grenada	902	494	407
194	🇵🇫French Polynesia	889	547	342
195	🇻🇨Saint Vincent and the Grenadines	868	497	371
196	🇯🇪Jersey	833	430	403
197	🇦🇼Aruba	830	453	377
198	🇰🇮Kiribati	776	386	390
199	🇩🇲Dominica	767	404	364
200	🇲🇨Monaco	728	403	324
201	🇹🇴Tonga	728	406	322
202	🇸🇨Seychelles	684	397	287
203	🇾🇹Mayotte	602	372	231
204	🇫🇲Micronesia (Fed. States of)	552	323	228
205	🇬🇬Guernsey	542	266	276
206	🇦🇬Antigua and Barbuda	508	260	248
207	🇧🇲Bermuda	500	305	195
208	🇫🇴Faroe Islands	493	253	240
209	🇰🇳Saint Kitts and Nevis	468	264	204
210	🇬🇱Greenland	449	287	161
211	🇦🇩Andorra	424	231	193
212	🇰🇾Cayman Islands	356	199	156
213	🇲🇭Marshall Islands	351	196	155
214	🇸🇲San Marino	307	140	166
215	🇦🇸American Samoa	285	160	125
216	🇬🇮Gibraltar	280	155	125
217	🇹🇨Turks and Caicos Islands	244	136	108
218	🇱🇮Liechtenstein	239	120	119
219	🇵🇼Palau	226	132	94
220	🇲🇵Northern Mariana Islands	216	132	84
221	🇻🇬British Virgin Islands	164	95	69
222	🇸🇽Sint Maarten (Dutch part)	163	104	58
223	🇧🇶Bonaire, Sint Eustatius and Saba	153	92	62
224	🇲🇫Saint Martin (French part)	151	88	63
225	🇨🇰Cook Islands	133	81	51
226	🇹🇻Tuvalu	111	65	46
227	🇦🇮Anguilla	81	49	32
228	🇸🇭Saint Helena	78	46	32
229	🇳🇷Nauru	78	46	31
230	🇼🇫Wallis and Futuna Islands	74	37	37
231	🇵🇲Saint Pierre and Miquelon	73	40	33
232	🇲🇸Montserrat	57	30	27
233	🇧🇱Saint Barthélemy	55	29	27
234	🇫🇰Falkland Islands (Malvinas)	24	13	11
235	🇳🇺Niue	23	12	11
236	🇹🇰Tokelau	13	6	7
237	🇻🇦Holy See	10	5	5

Regions with the Highest Death Count in 2015

Rank	Region	Deaths	Male Deaths	Female Deaths
1	Asia	29,933,580	16,490,640	13,442,940
2	Africa	10,646,590	5,615,642	5,030,948
3	Europe	8,177,599	4,085,553	4,092,046
4	Latin America and the Caribbean	3,906,059	2,172,237	1,733,822
5	Northern America	2,964,800	1,526,508	1,438,292
6	Oceania	264,406	141,919	122,487

Sub-regions with the Highest Death Count in 2015

Rank	Sub-region	Deaths	Male Deaths	Female Deaths
1	Southern Asia	12,245,915	6,693,803	5,552,112
2	Eastern Asia	11,566,126	6,454,341	5,111,785
3	South-Eastern Asia	4,370,579	2,369,265	2,001,314
4	Western Africa	4,114,189	2,111,102	2,003,087
5	Eastern Europe	3,717,030	1,894,194	1,822,836
6	Eastern Africa	3,026,193	1,633,543	1,392,650
7	South America	2,614,324	1,447,244	1,167,080
8	Western Europe	1,922,439	939,501	982,938
9	Middle Africa	1,595,358	844,420	750,938
10	Southern Europe	1,576,208	783,222	792,986
11	Northern Africa	1,314,454	722,979	591,475
12	Western Asia	1,290,850	724,294	566,556
13	Northern Europe	961,922	468,636	493,286
14	Central America	960,854	542,133	418,721
15	Southern Africa	596,396	303,598	292,798
16	Central Asia	460,110	248,937	211,173
17	Caribbean	330,881	182,860	148,021
18	Australia/New Zealand	187,119	95,621	91,498
19	Melanesia	70,871	42,626	28,245
20	Polynesia	3,246	1,857	1,389
21	Micronesia	3,170	1,815	1,355

Income Groups with the Highest Death Count in 2015

Rank	Income Group	Deaths	Male Deaths	Female Deaths
1	Middle-income countries	39,865,793	21,740,503	18,125,290
2	Lower-middle-income countries	22,607,947	12,166,419	10,441,528
3	Upper-middle-income countries	17,257,846	9,574,084	7,683,762
4	High-income countries	10,677,503	5,423,295	5,254,208
5	Low-income countries	5,162,981	2,758,279	2,404,702
6	No income group available	186,757	110,422	76,335

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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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.

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