Annual Population Deaths by Country in 1997

-5 year -1 year 1997 +1 year +5 year

In the year 1997, a total of 51,459,177 people died across the globe. Out of this group, 27,241,731 were male and 24,217,446 were female.

The country with the highest death count was 🇮🇳India, with a total of 9,251,005 people dying for the year. Closely followed by 🇨🇳China with a death count of 7,752,488, and 🇺🇸United States of America with 2,298,834 deaths recorded.

The country with the lowest annual death count was 🇻🇦Holy See with 9 people. Followed by 🇹🇰Tokelau with a death count of 13, and 🇳🇺Niue with 27 deaths recorded.

The geographic region with the highest death count was Asia with a total of 26,972,889 people dying for the year. Closely followed by Africa with a death count 10413.205, and Europe with 8,240,385 deaths recorded for the year.

When devided into sub-subregions we can see that Southern Asia had the highest death count of 12,577,645 people. Closely followed by Eastern Asia with a death count of 9,372,885, and Eastern Europe with 4,090,412 deaths recorded.

If we devide the global population into income groups we can see that Middle-income countries has the highest death count of 36,473,383. While the lowest death count is recorded by No income group available were only 110,064 people died in that segment.

Similar Population Metrics for 1997

Countries with the Highest Death Count in 1997

Rank	Country	Deaths	Male Deaths	Female Deaths
1	🇮🇳India	9,251,005	4,814,047	4,436,958
2	🇨🇳China	7,752,488	4,214,053	3,538,435
3	🇺🇸United States of America	2,298,834	1,156,714	1,142,120
4	🇳🇬Nigeria	2,108,303	1,112,030	996,272
5	🇷🇺Russian Federation	2,046,908	1,038,492	1,008,415
6	🇮🇩Indonesia	1,526,135	807,452	718,683
7	🇵🇰Pakistan	1,363,688	741,995	621,693
8	🇧🇷Brazil	1,093,661	626,662	466,998
9	🇧🇩Bangladesh	1,046,905	546,157	500,748
10	🇯🇵Japan	969,625	522,986	446,639
11	🇪🇹Ethiopia	968,181	503,760	464,420
12	🇩🇪Germany	860,730	398,060	462,671
13	🇺🇦Ukraine	753,171	374,611	378,560
14	🇨🇩Democratic Republic of the Congo	706,793	375,479	331,314
15	🇬🇧United Kingdom	628,023	299,464	328,559
16	🇮🇹Italy	559,867	284,241	275,626
17	🇫🇷France	530,579	272,648	257,930
18	🇲🇽Mexico	480,966	278,800	202,166
19	🇹🇿United Republic of Tanzania	459,741	237,558	222,183
20	🇲🇲Myanmar	453,009	250,765	202,244
21	🇪🇬Egypt	445,673	231,302	214,371
22	🇻🇳Viet Nam	442,127	253,220	188,908
23	🇵🇭Philippines	415,356	223,170	192,186
24	🇿🇦South Africa	405,333	209,284	196,049
25	🇵🇱Poland	380,246	202,088	178,159
26	🇺🇬Uganda	367,338	194,162	173,176
27	🇹🇷Türkiye	365,723	207,153	158,570
28	🇪🇸Spain	346,597	182,959	163,638
29	🇹🇭Thailand	342,155	207,952	134,203
30	🇮🇷Iran (Islamic Republic of)	334,060	192,185	141,876
31	🇸🇩Sudan	307,606	178,522	129,084
32	🇰🇪Kenya	302,559	158,182	144,377
33	🇲🇿Mozambique	286,722	147,843	138,878
34	🇦🇷Argentina	278,640	149,574	129,066
35	🇷🇴Romania	275,962	148,939	127,023
36	🇦🇴Angola	272,737	144,153	128,584
37	🇰🇷Republic of Korea	239,230	137,833	101,397
38	🇦🇫Afghanistan	237,216	125,327	111,889
39	🇰🇵Dem. People's Republic of Korea	231,213	117,754	113,460
40	🇨🇮Côte d'Ivoire	218,226	119,878	98,347
41	🇲🇼Malawi	217,836	114,465	103,371
42	🇨🇦Canada	215,673	111,842	103,831
43	🇳🇵Nepal	215,543	111,584	103,958
44	🇨🇴Colombia	204,267	123,663	80,603
45	🇳🇪Niger	200,344	101,180	99,164
46	🇨🇲Cameroon	191,292	99,716	91,576
47	🇬🇭Ghana	188,670	98,251	90,420
48	🇲🇦Morocco	183,260	99,320	83,940
49	🇲🇱Mali	180,364	91,425	88,939
50	🇧🇫Burkina Faso	180,121	91,342	88,779
51	🇺🇿Uzbekistan	176,403	94,956	81,448
52	🇸🇸South Sudan	172,279	91,324	80,954
53	🇲🇬Madagascar	171,008	91,778	79,230
54	🇿🇼Zimbabwe	163,434	85,803	77,631
55	🇰🇿Kazakhstan	162,006	89,224	72,782
56	🇿🇲Zambia	160,188	80,150	80,038
57	🇵🇪Peru	155,930	86,702	69,227
58	🇩🇿Algeria	153,195	83,366	69,829
59	🇾🇪Yemen	153,180	81,052	72,128
60	🇮🇶Iraq	150,019	78,987	71,032
61	🇷🇼Rwanda	148,219	76,821	71,397
62	🇹🇩Chad	139,264	71,296	67,968
63	🇭🇺Hungary	139,208	73,180	66,028
64	🇧🇾Belarus	136,624	73,526	63,099
65	🇳🇱Netherlands	135,895	67,243	68,652
66	🇧🇬Bulgaria	133,841	70,057	63,784
67	🇦🇺Australia	128,529	67,284	61,245
68	🇬🇳Guinea	125,850	63,591	62,259
69	🇸🇴Somalia	124,434	65,090	59,343
70	🇱🇰Sri Lanka	122,998	78,477	44,520
71	🇹🇼China, Taiwan Province of China	122,010	76,835	45,175
72	🇰🇭Cambodia	119,654	61,285	58,369
73	🇨🇿Czechia	112,725	56,642	56,083
74	🇻🇪Venezuela (Bolivarian Republic of)	107,758	62,365	45,393
75	🇧🇮Burundi	105,129	54,164	50,965
76	🇵🇹Portugal	104,571	54,730	49,841
77	🇧🇪Belgium	104,080	52,021	52,059
78	🇸🇳Senegal	103,620	54,178	49,442
79	🇬🇷Greece	101,215	56,202	45,013
80	🇲🇾Malaysia	98,051	55,505	42,546
81	🇸🇱Sierra Leone	93,262	47,867	45,395
82	🇸🇪Sweden	93,180	46,645	46,534
83	🇭🇹Haiti	90,362	46,121	44,241
84	🇷🇸Serbia	90,309	48,193	42,117
85	🇧🇴Bolivia (Plurinational State of)	84,164	44,099	40,065
86	🇧🇯Benin	80,473	41,530	38,943
87	🇨🇺Cuba	80,209	44,744	35,465
88	🇦🇹Austria	79,380	37,025	42,355
89	🇬🇹Guatemala	76,562	44,297	32,264
90	🇨🇱Chile	76,065	43,138	32,927
91	🇸🇦Saudi Arabia	75,770	46,757	29,013
92	🇦🇿Azerbaijan	69,635	38,031	31,605
93	🇸🇾Syrian Arab Republic	68,612	38,665	29,947
94	🇨🇭Switzerland	62,875	30,690	32,185
95	🇪🇨Ecuador	62,723	35,615	27,107
96	🇩🇰Denmark	59,931	29,570	30,361
97	🇲🇩Republic of Moldova	59,610	28,979	30,631
98	🇨🇫Central African Republic	58,752	31,686	27,065
99	🇹🇬Togo	56,450	29,150	27,300
100	🇹🇯Tajikistan	55,903	30,541	25,362
101	🇱🇦Lao People's Democratic Republic	55,807	29,189	26,618
102	🇭🇷Croatia	53,925	27,102	26,824
103	🇸🇰Slovakia	52,129	27,788	24,340
104	🇬🇪Georgia	50,885	26,048	24,837
105	🇫🇮Finland	49,114	23,927	25,187
106	🇩🇴Dominican Republic	47,991	27,069	20,922
107	🇨🇬Congo	46,755	26,960	19,795
108	🇹🇳Tunisia	45,649	26,340	19,309
109	🇳🇴Norway	44,582	22,231	22,352
110	🇱🇹Lithuania	42,863	22,519	20,344
111	🇱🇷Liberia	39,399	21,053	18,346
112	🇰🇬Kyrgyzstan	38,240	20,496	17,744
113	🇵🇬Papua New Guinea	37,228	21,878	15,351
114	🇭🇰China, Hong Kong SAR	36,816	20,417	16,399
115	🇸🇻El Salvador	36,179	21,427	14,752
116	🇮🇱Israel	35,789	18,410	17,379
117	🇱🇻Latvia	34,589	17,115	17,474
118	🇭🇳Honduras	34,202	18,734	15,468
119	🇹🇲Turkmenistan	33,383	18,156	15,227
120	🇧🇦Bosnia and Herzegovina	33,329	17,020	16,309
121	🇮🇪Ireland	31,245	16,286	14,958
122	🇺🇾Uruguay	30,108	16,599	13,509
123	🇵🇷Puerto Rico	29,443	17,060	12,383
124	🇳🇮Nicaragua	28,023	15,469	12,555
125	🇵🇾Paraguay	27,653	15,462	12,191
126	🇳🇿New Zealand	27,653	14,317	13,336
127	🇦🇲Armenia	26,352	13,677	12,675
128	🇪🇷Eritrea	25,976	13,570	12,406
129	🇱🇸Lesotho	25,436	13,893	11,543
130	🇲🇷Mauritania	22,902	12,042	10,860
131	🇱🇾Libya	21,101	12,183	8,918
132	🇬🇼Guinea-Bissau	20,991	11,151	9,840
133	🇲🇳Mongolia	20,019	10,773	9,247
134	🇱🇧Lebanon	19,657	10,041	9,616
135	🇦🇱Albania	19,461	11,028	8,432
136	🇸🇮Slovenia	18,778	9,519	9,259
137	🇧🇼Botswana	18,589	9,660	8,929
138	🇪🇪Estonia	18,508	9,375	9,132
139	🇯🇴Jordan	18,386	10,300	8,086
140	🇳🇦Namibia	18,319	9,428	8,891
141	🇯🇲Jamaica	18,038	8,737	9,302
142	🇲🇰North Macedonia	17,281	9,451	7,830
143	🇸🇬Singapore	16,958	9,547	7,410
144	🇬🇲Gambia	16,631	8,940	7,690
145	🇨🇷Costa Rica	14,864	8,623	6,241
146	🇵🇦Panama	13,990	8,053	5,938
147	🇹🇱Timor-Leste	13,029	7,170	5,860
148	🇬🇦Gabon	12,287	6,236	6,051
149	🇸🇿Eswatini	11,501	6,069	5,432
150	🇵🇸State of Palestine	11,371	5,995	5,376
151	🇽🇰Kosovo (under UNSC res. 1244)	10,679	5,752	4,927
152	🇹🇹Trinidad and Tobago	9,126	4,730	4,396
153	🇬🇶Equatorial Guinea	8,873	4,678	4,195
154	🇲🇺Mauritius	7,911	4,560	3,351
155	🇴🇲Oman	7,743	5,015	2,728
156	🇩🇯Djibouti	7,408	3,897	3,511
157	🇨🇾Cyprus	6,795	3,576	3,220
158	🇦🇪United Arab Emirates	6,751	4,954	1,798
159	🇬🇾Guyana	6,015	3,497	2,519
160	🇲🇪Montenegro	5,642	2,964	2,678
161	🇰🇲Comoros	5,479	2,983	2,496
162	🇫🇯Fiji	4,860	2,739	2,121
163	🇧🇹Bhutan	4,852	2,696	2,156
164	🇷🇪Réunion	4,093	2,421	1,672
165	🇱🇺Luxembourg	3,910	1,911	1,999
166	🇰🇼Kuwait	3,457	2,264	1,193
167	🇸🇷Suriname	3,204	1,787	1,417
168	🇨🇻Cabo Verde	3,005	1,570	1,435
169	🇲🇹Malta	2,924	1,556	1,368
170	🇲🇶Martinique	2,630	1,424	1,206
171	🇬🇵Guadeloupe	2,604	1,431	1,173
172	🇧🇧Barbados	2,579	1,248	1,330
173	🇸🇧Solomon Islands	2,402	1,468	934
174	🇮🇸Iceland	1,845	984	861
175	🇪🇭Western Sahara	1,837	1,018	818
176	🇧🇸Bahamas	1,832	1,012	819
177	🇧🇭Bahrain	1,783	1,114	669
178	🇲🇴China, Macao SAR	1,496	800	696
179	🇲🇻Maldives	1,357	782	576
180	🇸🇹Sao Tome and Principe	1,354	725	629
181	🇧🇿Belize	1,217	688	530
182	🇳🇨New Caledonia	1,204	722	482
183	🇶🇦Qatar	1,194	831	363
184	🇨🇼Curaçao	1,133	583	550
185	🇧🇳Brunei Darussalam	1,066	634	432
186	🇱🇨Saint Lucia	1,022	517	506
187	🇻🇺Vanuatu	1,018	617	401
188	🇮🇲Isle of Man	996	491	505
189	🇼🇸Samoa	964	569	395
190	🇻🇮United States Virgin Islands	834	491	344
191	🇻🇨Saint Vincent and the Grenadines	817	416	401
192	🇯🇪Jersey	781	370	412
193	🇬🇺Guam	742	443	299
194	🇬🇩Grenada	724	374	350
195	🇹🇴Tonga	694	417	277
196	🇸🇨Seychelles	676	413	263
197	🇰🇮Kiribati	644	331	313
198	🇩🇲Dominica	642	326	316
199	🇬🇫French Guiana	621	394	227
200	🇫🇲Micronesia (Fed. States of)	609	354	255
201	🇵🇫French Polynesia	600	354	246
202	🇬🇬Guernsey	583	276	307
203	🇦🇼Aruba	515	278	237
204	🇦🇬Antigua and Barbuda	504	262	242
205	🇬🇱Greenland	458	267	191
206	🇰🇳Saint Kitts and Nevis	445	228	217
207	🇫🇴Faroe Islands	398	239	159
208	🇾🇹Mayotte	393	229	164
209	🇲🇨Monaco	379	215	164
210	🇦🇩Andorra	369	212	157
211	🇧🇲Bermuda	365	206	159
212	🇲🇭Marshall Islands	340	189	150
213	🇦🇸American Samoa	244	144	99
214	🇱🇮Liechtenstein	239	133	106
215	🇸🇲San Marino	218	113	105
216	🇰🇾Cayman Islands	217	123	94
217	🇬🇮Gibraltar	184	99	86
218	🇵🇼Palau	174	103	71
219	🇲🇵Northern Mariana Islands	168	100	68
220	🇨🇰Cook Islands	141	80	61
221	🇲🇸Montserrat	122	55	67
222	🇸🇽Sint Maarten (Dutch part)	117	65	52
223	🇧🇶Bonaire, Sint Eustatius and Saba	98	52	46
224	🇹🇻Tuvalu	96	48	48
225	🇲🇫Saint Martin (French part)	95	56	39
226	🇻🇬British Virgin Islands	88	52	36
227	🇳🇷Nauru	81	51	30
228	🇼🇫Wallis and Futuna Islands	77	39	38
229	🇹🇨Turks and Caicos Islands	76	41	35
230	🇦🇮Anguilla	66	34	32
231	🇵🇲Saint Pierre and Miquelon	58	30	29
232	🇸🇭Saint Helena	54	27	26
233	🇧🇱Saint Barthélemy	33	19	14
234	🇫🇰Falkland Islands (Malvinas)	31	18	13
235	🇳🇺Niue	27	15	12
236	🇹🇰Tokelau	13	6	7
237	🇻🇦Holy See	9	5	4

Regions with the Highest Death Count in 1997

Rank	Region	Deaths	Male Deaths	Female Deaths
1	Asia	26,972,889	14,466,825	12,506,064
2	Africa	10,413,205	5,475,672	4,937,533
3	Europe	8,240,385	4,154,841	4,085,543
4	Latin America and the Caribbean	3,108,958	1,763,115	1,345,843
5	Northern America	2,515,385	1,269,063	1,246,322
6	Oceania	208,355	112,214	96,141

Sub-regions with the Highest Death Count in 1997

Rank	Sub-region	Deaths	Male Deaths	Female Deaths
1	Southern Asia	12,577,645	6,613,268	5,964,377
2	Eastern Asia	9,372,885	5,101,442	4,271,443
3	Eastern Europe	4,090,412	2,094,302	1,996,110
4	Eastern Africa	3,698,963	1,929,161	1,769,802
5	Western Africa	3,638,637	1,905,199	1,733,438
6	South-Eastern Asia	3,483,339	1,905,891	1,577,448
7	South America	2,130,796	1,209,564	921,232
8	Western Europe	1,778,045	859,934	918,111
9	Middle Africa	1,438,101	760,923	677,178
10	Southern Europe	1,365,309	711,121	654,188
11	Northern Africa	1,158,320	632,050	526,270
12	Western Asia	1,073,080	592,851	480,229
13	Northern Europe	1,006,619	489,485	517,134
14	Central America	685,994	396,079	289,915
15	Southern Africa	479,184	248,339	230,845
16	Central Asia	465,940	253,373	212,567
17	Caribbean	292,168	157,472	134,696
18	Australia/New Zealand	156,183	81,601	74,582
19	Melanesia	46,704	27,418	19,286
20	Polynesia	2,755	1,632	1,123
21	Micronesia	2,713	1,563	1,150

Income Groups with the Highest Death Count in 1997

Rank	Income Group	Deaths	Male Deaths	Female Deaths
1	Middle-income countries	36,473,383	19,480,123	16,993,260
2	Lower-middle-income countries	21,795,377	11,497,605	10,297,772
3	Upper-middle-income countries	14,678,006	7,982,518	6,695,488
4	High-income countries	9,312,407	4,779,370	4,533,037
5	Low-income countries	5,563,323	2,918,612	2,644,711
6	No income group available	110,064	63,626	46,438

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.