Covid-19 Death Per 100,000 Population

People get Covid-19 ... The question how well the country treat those who are sick. One of the ways to measure is the number of deaths per 100,000 population. More people die, less effective the measures are.

	COUNTRY	CONFIRMED	DEATHS	CASE-FATALITY	DEATHS/100K POP.
1	Peru	2,142,153	197,879	9.2%	608.66
2	Hungary	811,121	30,052	3.7%	307.60
3	Bosnia and Herzegovina	209,909	9,740	4.6%	295.06
4	Czechia	1,677,619	30,385	1.8%	284.78
5	North Macedonia	169,202	5,695	3.4%	273.34
6	Brazil🇧🇷	20,583,994	574,848	2.8%	272.38
7	Montenegro	110,377	1,680	1.5%	270.04
8	San Marino	5,261	90	1.7%	265.80
9	Bulgaria	443,186	18,532	4.2%	265.66
10	Colombia	4,892,235	124,315	2.5%	246.95
11	Argentina	5,139,966	110,609	2.2%	246.13
12	Moldova	264,746	6,369	2.4%	239.65
13	Slovakia	394,093	12,547	3.2%	230.05
14	Paraguay	457,838	15,593	3.4%	221.35
15	Belgium	1,168,602	25,341	2.2%	220.66
16	Italy🇮🇹	4,488,779	128,795	2.9%	213.60
17	Slovenia	263,664	4,441	1.7%	212.70
18	Croatia	369,838	8,303	2.2%	204.13
19	Mexico	3,231,616	253,526	7.8%	198.73
20	Poland	2,886,805	75,316	2.6%	198.35
21	United Kingdom🇬🇧	6,555,419	132,000	2.0%	197.50
22	Chile	1,634,394	36,688	2.2%	193.58
23	Tunisia	642,788	22,609	3.5%	193.33
24	United States🇺🇸	37,939,641	629,411	1.7%	191.75
25	Ecuador	498,728	32,092	6.4%	184.72
26	Georgia	517,098	6,831	1.3%	183.61
27	Romania	1,091,340	34,425	3.2%	177.85
28	Spain	4,794,352	83,337	1.7%	177.02
29	Uruguay	384,181	6,016	1.6%	173.79
30	Portugal	1,020,546	17,645	1.7%	171.82
31	France🇫🇷	6,708,163	113,857	1.7%	169.78
32	Andorra	15,002	130	0.9%	168.52
33	Panama	452,986	7,015	1.5%	165.20
34	Lithuania	294,086	4,494	1.5%	161.26
35	Armenia	237,885	4,762	2.0%	161.00
36	Bolivia	487,131	18,313	3.8%	159.06
37	Liechtenstein	3,228	59	1.8%	155.19
38	Sweden	1,116,584	14,668	1.3%	142.61
39	South Africa	2,698,605	79,584	2.9%	135.91
40	Latvia	141,118	2,569	1.8%	134.31
41	Namibia	123,861	3,345	2.7%	134.09
42	Luxembourg	75,130	830	1.1%	133.89
43	Kosovo	130,376	2,343	1.8%	130.58
44	Switzerland	758,984	10,950	1.4%	127.70
45	Ukraine	2,369,339	56,526	2.4%	127.35
46	Greece	561,812	13,385	2.4%	124.90
47	Iran	4,715,771	102,648	2.2%	123.80
48	Austria	677,603	10,763	1.6%	121.25
49	Suriname	27,574	700	2.5%	120.41
50	Russia🇷🇺	6,672,373	173,768	2.6%	120.36
51	Lebanon	592,780	8,014	1.4%	116.90
52	Germany🇩🇪	3,881,633	92,028	2.4%	110.70
53	Seychelles	19,594	104	0.5%	106.53
54	Costa Rica	445,442	5,361	1.2%	106.21
55	Netherlands	1,955,363	18,281	0.9%	105.47
56	Serbia	744,150	7,218	1.0%	103.93
57	Ireland	338,707	5,074	1.5%	102.68
58	Jordan	790,450	10,308	1.3%	102.04
59	Estonia	139,126	1,285	0.9%	96.86
60	Botswana	150,842	2,171	1.4%	94.24
61	Belize	15,556	353	2.3%	90.43
62	Eswatini	40,714	1,022	2.5%	89.01
63	Honduras	329,691	8,670	2.6%	88.96
64	Trinidad and Tobago	43,145	1,237	2.9%	88.68
65	Albania	139,721	2,478	1.8%	86.82
66	Bahamas	17,386	338	1.9%	86.78
67	Malta	35,831	436	1.2%	86.74
68	Monaco	3,141	33	1.1%	84.69
69	Bahrain	271,715	1,387	0.5%	84.51
70	Oman	301,450	4,038	1.3%	81.17
71	West Bank and Gaza	327,634	3,642	1.1%	77.73
72	Guyana	24,336	594	2.4%	75.88
73	Israel	999,110	6,856	0.7%	75.73
74	Canada	1,481,438	26,780	1.8%	71.24
75	Guatemala	440,007	11,516	2.6%	69.36
76	Kazakhstan	816,721	12,655	1.5%	68.35
77	Turkey	6,234,490	54,765	0.9%	65.64
78	Libya	296,879	4,076	1.4%	60.14
79	Kuwait	408,434	2,407	0.6%	57.21
80	Cabo Verde	34,773	305	0.9%	55.46
81	Azerbaijan	394,451	5,340	1.4%	53.28
82	Saint Lucia	7,232	97	1.3%	53.07
83	Iraq	1,832,240	20,262	1.1%	51.54
84	Fiji	44,188	444	1.0%	49.89
85	Jamaica	62,712	1,402	2.2%	47.55
86	Indonesia	3,989,060	127,214	3.2%	47.01
87	Malaysia	1,572,765	14,342	0.9%	44.89
88	Antigua and Barbuda	1,540	43	2.8%	44.28
89	Denmark	339,542	2,569	0.8%	44.15
90	El Salvador	92,686	2,846	3.1%	44.10
91	Maldives	80,067	225	0.3%	42.38
92	Cuba	592,619	4,618	0.8%	40.75
93	Cyprus	111,666	484	0.4%	40.38
94	Belarus	470,635	3,691	0.8%	38.99
95	Kyrgyzstan	174,148	2,489	1.4%	38.55
96	Dominican Republic	348,026	3,994	1.1%	37.19
97	Nepal	748,981	10,533	1.4%	36.82
98	Sri Lanka	394,355	7,560	1.9%	34.67
99	Morocco	813,945	11,889	1.5%	32.60
100	India	32,474,773	435,110	1.3%	31.84
101	Philippines	1,857,646	31,961	1.7%	29.56
102	Zimbabwe	123,001	4,293	3.5%	29.31
103	Mongolia	196,846	907	0.5%	28.12
104	Myanmar	375,871	14,499	3.9%	26.83
105	Saudi Arabia	541,994	8,481	1.6%	24.75
106	Qatar	231,126	601	0.3%	21.22
107	United Arab Emirates	710,438	2,024	0.3%	20.72
108	Zambia	204,651	3,578	1.7%	20.03
109	Republic of the Congo	54,009	1,053	1.9%	19.57
110	Lesotho	14,382	400	2.8%	18.82
111	Afghanistan	152,583	7,076	4.6%	18.60
112	Finland	122,417	1,014	0.8%	18.37
113	Comoros	4,051	147	3.6%	17.28
114	Sao Tome and Principe	2,524	37	1.5%	17.20
115	Barbados	4,652	48	1.0%	16.72
116	Egypt	286,541	16,676	5.8%	16.61
117	Djibouti	11,698	157	1.3%	16.13
118	Bangladesh	1,467,715	25,399	1.7%	15.58
119	Norway	149,732	811	0.5%	15.16
120	Mauritania	32,026	677	2.1%	14.96
121	Thailand	1,066,786	9,562	0.9%	13.73
122	Venezuela	326,522	3,909	1.2%	13.71
123	Gambia	9,470	301	3.2%	12.82
124	Japan🇯🇵	1,323,164	15,681	1.2%	12.42
125	Algeria	192,089	5,034	2.6%	11.69
126	Pakistan	1,131,659	25,094	2.2%	11.59
127	Syria	27,003	1,977	7.3%	11.58
128	Malawi	59,624	2,082	3.5%	11.18
129	Cambodia	89,641	1,808	2.0%	10.97
130	St. Vincent and the Grenadines	2,320	12	0.5%	10.85
131	Senegal	72,015	1,680	2.3%	10.31
132	Equatorial Guinea	9,049	123	1.4%	9.07
133	Vietnam	358,456	8,666	2.4%	8.98
134	Kenya	229,628	4,528	2.0%	8.61
135	Iceland	10,177	30	0.3%	8.30
136	Rwanda	83,519	1,027	1.2%	8.13
137	Gabon	25,717	165	0.6%	7.59
138	Uganda	118,777	2,960	2.5%	6.69
139	Sudan	37,639	2,826	7.5%	6.60
140	Somalia	16,892	927	5.5%	6.00
141	Mozambique	143,127	1,808	1.3%	5.95
142	Saint Kitts and Nevis	823	3	0.4%	5.68
143	Guinea-Bissau	5,518	103	1.9%	5.36
144	Haiti	20,719	583	2.8%	5.18
145	Cameroon	82,454	1,338	1.6%	5.17
146	Yemen	7,539	1,420	18.8%	4.87
147	South Korea🇰🇷	239,287	2,228	0.9%	4.31
148	Ethiopia	296,731	4,571	1.5%	4.08
149	Australia	45,754	984	2.2%	3.88
150	Timor-Leste	14,403	49	0.3%	3.79
151	Angola	46,076	1,163	2.5%	3.65
152	Madagascar	42,847	955	2.2%	3.54
153	Taiwan	15,932	828	5.2%	3.48
154	Ghana	115,102	974	0.8%	3.20
155	Uzbekistan	149,876	1,028	0.7%	3.06
156	Nicaragua	10,672	198	1.9%	3.02
157	Liberia	5,459	148	2.7%	3.00
158	Mali	14,763	536	3.6%	2.73
159	Guinea	28,802	314	1.1%	2.46
160	Papua New Guinea	17,838	192	1.1%	2.19
161	Togo	19,702	173	0.9%	2.14
162	Central African Republic	11,270	99	0.9%	2.09
163	Mauritius	8,098	25	0.3%	1.98
164	Sierra Leone	6,355	121	1.9%	1.55
165	Côte d'Ivoire	53,730	397	0.7%	1.54
166	Tajikistan	16,514	124	0.8%	1.33
167	Nigeria	187,588	2,276	1.2%	1.13
168	Chad	4,987	174	3.5%	1.09
169	South Sudan	11,310	120	1.1%	1.08
170	Benin	12,021	125	1.0%	1.06
171	Singapore	66,576	50	0.1%	0.88
172	Burkina Faso	13,715	171	1.2%	0.84
173	Niger	5,770	196	3.4%	0.84
174	Brunei	1,873	3	0.2%	0.69
175	New Zealand	3,097	26	0.8%	0.53
176	Bhutan	2,585	3	0.1%	0.39
177	China (Propaganda)	106,812	4,848	4.5%	0.35
178	Burundi	10,791	38	0.4%	0.33
179	Democratic Republic of the Congo	13,493	179	1.3%	0.21
180	Laos	12,621	11	0.1%	0.15
181	Tanzania	1,367	50	3.7%	0.09

Source: https://coronavirus.jhu.edu/data/mortality

Kenichi Uchikura
President / CEO
Pacific Software Publishing, Inc.
ken.uchikura＠pspinc.com

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