Life Expectancy in Comoros vs Zimbabwe (1950-2026)

Life expectancy by current age

Chart Table

Comoros

Male

Female

Zimbabwe

Male

Female

1x

Current age, years	Total life expectancy, years
	Comoros			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.9	102.2	101.9	102.2
99	100.9	100.8	101	101.2	101	101.3
98	100	99.9	100	100.4	100.1	100.4
97	99.1	99	99.1	99.5	99.2	99.5
96	98.2	98.1	98.3	98.6	98.4	98.7
95	97.3	97.2	97.4	97.7	97.5	97.8
94	96.5	96.3	96.5	96.9	96.6	97
93	95.6	95.5	95.7	96	95.7	96.1
92	94.8	94.6	94.8	95.2	94.9	95.3
91	93.9	93.7	94	94.4	94	94.5
90	93.1	92.9	93.2	93.6	93.2	93.8
89	92.3	92.1	92.4	92.8	92.4	93
88	91.5	91.3	91.6	92	91.6	92.2
87	90.7	90.5	90.9	91.2	90.8	91.5
86	89.9	89.7	90.1	90.5	90	90.8
85	89.2	88.9	89.4	89.8	89.2	90.1
84	88.4	88.1	88.7	89	88.4	89.4
83	87.7	87.4	88	88.4	87.7	88.7
82	87	86.7	87.3	87.7	87	88.1
81	86.4	86	86.6	87	86.3	87.5
80	85.7	85.3	86	86.4	85.6	86.9
79	85.1	84.7	85.4	85.8	84.9	86.3
78	84.4	84	84.8	85.1	84.2	85.7
77	83.8	83.4	84.3	84.5	83.6	85.2
76	83.3	82.7	83.7	83.9	83	84.6
75	82.7	82.1	83.2	83.4	82.3	84.1
74	82.2	81.6	82.7	82.8	81.7	83.5
73	81.6	81	82.2	82.2	81.2	83
72	81.2	80.5	81.8	81.7	80.6	82.5
71	80.7	79.9	81.3	81.2	80	82.1
70	80.2	79.4	80.9	80.7	79.5	81.6
69	79.8	79	80.6	80.2	79	81.1
68	79.4	78.5	80.2	79.7	78.4	80.7
67	79	78	79.9	79.2	77.9	80.2
66	78.6	77.6	79.5	78.8	77.5	79.8
65	78.2	77.2	79.2	78.3	77	79.4
64	77.9	76.8	78.9	77.9	76.5	79
63	77.5	76.4	78.6	77.5	76.1	78.6
62	77.2	76	78.4	77.1	75.6	78.2
61	76.9	75.7	78.1	76.7	75.2	77.9
60	76.6	75.4	77.9	76.3	74.8	77.5
59	76.3	75	77.6	75.9	74.4	77.2
58	76.1	74.7	77.4	75.6	74	76.9
57	75.8	74.4	77.2	75.2	73.6	76.6
56	75.6	74.2	77	74.9	73.2	76.3
55	75.3	73.9	76.8	74.6	72.8	76
54	75.1	73.7	76.6	74.2	72.5	75.7
53	74.9	73.4	76.4	73.9	72.1	75.4
52	74.7	73.2	76.3	73.6	71.8	75.1
51	74.5	73	76.1	73.3	71.4	74.8
50	74.3	72.8	75.9	73	71.1	74.6
49	74.1	72.6	75.8	72.7	70.8	74.3
48	74	72.4	75.6	72.5	70.5	74
47	73.8	72.3	75.5	72.2	70.2	73.8
46	73.7	72.1	75.4	71.9	69.9	73.6
45	73.5	71.9	75.2	71.7	69.6	73.3
44	73.4	71.8	75.1	71.4	69.3	73.1
43	73.3	71.7	75	71.2	69	72.9
42	73.1	71.5	74.9	70.9	68.7	72.7
41	73	71.4	74.8	70.7	68.5	72.5
40	72.9	71.3	74.7	70.5	68.2	72.2
39	72.8	71.2	74.6	70.2	68	72
38	72.7	71.1	74.5	70	67.8	71.9
37	72.6	71	74.4	69.8	67.5	71.7
36	72.5	70.9	74.3	69.6	67.3	71.5
35	72.4	70.8	74.2	69.4	67.1	71.3
34	72.3	70.7	74.1	69.2	66.9	71.1
33	72.3	70.6	74	69	66.7	71
32	72.2	70.5	74	68.9	66.5	70.8
31	72.1	70.4	73.9	68.7	66.3	70.6
30	72	70.3	73.8	68.5	66.2	70.5
29	71.9	70.2	73.8	68.4	66	70.4
28	71.9	70.1	73.7	68.2	65.8	70.2
27	71.8	70.1	73.6	68.1	65.7	70.1
26	71.7	70	73.5	68	65.5	70
25	71.6	69.9	73.5	67.8	65.4	69.8
24	71.5	69.8	73.4	67.7	65.3	69.7
23	71.4	69.7	73.4	67.6	65.1	69.6
22	71.4	69.6	73.3	67.5	65	69.5
21	71.3	69.5	73.2	67.4	64.9	69.4
20	71.2	69.4	73.2	67.3	64.8	69.3
19	71.1	69.3	73.1	67.2	64.7	69.3
18	71	69.2	73	67.1	64.6	69.2
17	71	69.1	73	67	64.5	69.1
16	70.9	69	72.9	67	64.4	69.1
15	70.9	69	72.9	66.9	64.4	69
14	70.8	68.9	72.9	66.8	64.3	69
13	70.8	68.9	72.8	66.8	64.3	68.9
12	70.7	68.8	72.8	66.8	64.2	68.9
11	70.7	68.8	72.7	66.7	64.2	68.8
10	70.7	68.7	72.7	66.7	64.2	68.8
9	70.6	68.7	72.7	66.6	64.1	68.8
8	70.6	68.7	72.6	66.6	64.1	68.7
7	70.5	68.6	72.6	66.5	64	68.7
6	70.5	68.5	72.5	66.5	64	68.6
5	70.4	68.5	72.5	66.4	63.9	68.5
4	70.3	68.4	72.4	66.3	63.8	68.4
3	70.2	68.2	72.2	66.2	63.6	68.3
2	70	68.1	72.1	66	63.5	68.1
1	69.8	67.9	71.9	65.6	63.2	67.7
0	67.5	65.4	69.7	63.6	61	65.9

Life expectancy is often mistaken for the average lifespan of an adult. However, an adult has already survived the causes of early-age mortality and can expect to live longer than the figure calculated at birth.

A 30-year-old in Comoros can expect to live to 72 years compared to 68.5 in Zimbabwe, rising to 78.2 and 78.3 at 65, and to 85.7 and 86.4 at 80 — higher than the 67.5 and 63.6 years calculated at birth.

The chart above accounts for remaining lifespan and displays total life expectancy by age and gender in Comoros and Zimbabwe.

Probability of surviving to a given age

Chart Table

Comoros

Male

Female

Zimbabwe

Male

Female

1x

Age	Survival probability
	Comoros			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	0.1%	0.05%	0.15%	0.2%	0.07%	0.33%
99	0.16%	0.08%	0.25%	0.31%	0.12%	0.5%
98	0.25%	0.14%	0.39%	0.46%	0.18%	0.73%
97	0.4%	0.23%	0.61%	0.66%	0.27%	1.05%
96	0.61%	0.35%	0.92%	0.94%	0.4%	1.47%
95	0.9%	0.54%	1.34%	1.3%	0.59%	2.02%
94	1.3%	0.8%	1.91%	1.77%	0.83%	2.71%
93	1.83%	1.15%	2.65%	2.36%	1.15%	3.55%
92	2.52%	1.62%	3.59%	3.08%	1.57%	4.57%
91	3.4%	2.24%	4.75%	3.95%	2.09%	5.75%
90	4.48%	3.02%	6.18%	4.99%	2.73%	7.15%
89	5.79%	3.99%	7.87%	6.18%	3.51%	8.72%
88	7.35%	5.18%	9.84%	7.56%	4.44%	10.5%
87	9.16%	6.59%	12.1%	9.1%	5.53%	12.4%
86	11.2%	8.23%	14.6%	10.8%	6.78%	14.5%
85	13.5%	10.1%	17.4%	12.7%	8.2%	16.8%
84	16.1%	12.2%	20.4%	14.7%	9.78%	19.1%
83	18.8%	14.5%	23.5%	16.8%	11.5%	21.5%
82	21.6%	16.9%	26.8%	19%	13.4%	24%
81	24.6%	19.5%	30.2%	21.2%	15.4%	26.4%
80	27.7%	22.3%	33.7%	23.5%	17.5%	28.8%
79	30.9%	25.2%	37.1%	25.9%	19.7%	31.3%
78	34.1%	28.2%	40.6%	28.3%	21.9%	33.8%
77	37.3%	31.2%	44%	30.7%	24.3%	36.3%
76	40.6%	34.3%	47.3%	33.2%	26.6%	38.7%
75	43.7%	37.4%	50.5%	35.6%	29%	41.2%
74	46.8%	40.5%	53.6%	38%	31.4%	43.6%
73	49.7%	43.5%	56.5%	40.4%	33.9%	45.9%
72	52.6%	46.4%	59.2%	42.8%	36.3%	48.2%
71	55.3%	49.3%	61.8%	45.1%	38.6%	50.4%
70	57.9%	52.1%	64.2%	47.3%	40.9%	52.6%
69	60.3%	54.7%	66.4%	49.5%	43.2%	54.7%
68	62.6%	57.3%	68.4%	51.6%	45.4%	56.7%
67	64.8%	59.8%	70.3%	53.6%	47.6%	58.6%
66	66.9%	62.1%	72.1%	55.6%	49.7%	60.5%
65	68.8%	64.3%	73.7%	57.6%	51.8%	62.3%
64	70.6%	66.4%	75.3%	59.5%	53.8%	64%
63	72.3%	68.4%	76.7%	61.2%	55.8%	65.7%
62	73.9%	70.2%	78%	63%	57.7%	67.2%
61	75.4%	72%	79.2%	64.6%	59.5%	68.7%
60	76.8%	73.6%	80.3%	66.2%	61.2%	70.1%
59	78.1%	75.1%	81.3%	67.6%	62.9%	71.4%
58	79.3%	76.5%	82.3%	69.1%	64.5%	72.7%
57	80.4%	77.8%	83.1%	70.4%	66%	73.9%
56	81.4%	79%	84%	71.7%	67.5%	75%
55	82.4%	80.1%	84.7%	72.9%	69%	76.1%
54	83.2%	81.2%	85.5%	74.1%	70.3%	77.2%
53	84.1%	82.1%	86.1%	75.2%	71.7%	78.2%
52	84.8%	83%	86.8%	76.3%	73%	79.1%
51	85.5%	83.8%	87.3%	77.4%	74.2%	80.1%
50	86.2%	84.6%	87.9%	78.4%	75.4%	81%
49	86.8%	85.3%	88.4%	79.4%	76.6%	81.8%
48	87.4%	85.9%	88.9%	80.3%	77.7%	82.6%
47	87.9%	86.5%	89.3%	81.2%	78.7%	83.4%
46	88.4%	87%	89.7%	82%	79.7%	84.1%
45	88.8%	87.5%	90.1%	82.9%	80.7%	84.8%
44	89.2%	88%	90.5%	83.6%	81.6%	85.5%
43	89.6%	88.4%	90.8%	84.4%	82.5%	86.1%
42	90%	88.8%	91.1%	85.1%	83.3%	86.7%
41	90.3%	89.2%	91.4%	85.8%	84.1%	87.3%
40	90.6%	89.5%	91.7%	86.4%	84.9%	87.9%
39	90.9%	89.8%	92%	87.1%	85.6%	88.4%
38	91.2%	90.1%	92.2%	87.7%	86.3%	89%
37	91.4%	90.4%	92.4%	88.2%	86.9%	89.5%
36	91.6%	90.7%	92.7%	88.8%	87.5%	89.9%
35	91.9%	90.9%	92.9%	89.3%	88.1%	90.4%
34	92.1%	91.1%	93.1%	89.8%	88.7%	90.8%
33	92.3%	91.4%	93.2%	90.2%	89.2%	91.2%
32	92.5%	91.6%	93.4%	90.7%	89.7%	91.6%
31	92.7%	91.8%	93.6%	91.1%	90.1%	91.9%
30	92.8%	92%	93.7%	91.4%	90.6%	92.3%
29	93%	92.2%	93.9%	91.8%	91%	92.6%
28	93.2%	92.4%	94%	92.1%	91.4%	92.9%
27	93.4%	92.6%	94.2%	92.5%	91.7%	93.2%
26	93.5%	92.8%	94.3%	92.8%	92.1%	93.5%
25	93.7%	93%	94.4%	93.1%	92.4%	93.7%
24	93.8%	93.2%	94.5%	93.3%	92.7%	93.9%
23	94%	93.4%	94.7%	93.6%	93%	94.2%
22	94.2%	93.6%	94.8%	93.8%	93.3%	94.4%
21	94.3%	93.8%	94.9%	94%	93.5%	94.5%
20	94.5%	94%	95%	94.2%	93.8%	94.7%
19	94.6%	94.2%	95.1%	94.4%	94%	94.9%
18	94.8%	94.3%	95.2%	94.6%	94.2%	95%
17	94.9%	94.5%	95.3%	94.7%	94.3%	95.1%
16	95%	94.6%	95.4%	94.8%	94.5%	95.2%
15	95.1%	94.7%	95.5%	94.9%	94.6%	95.3%
14	95.2%	94.8%	95.6%	95%	94.7%	95.4%
13	95.3%	94.9%	95.6%	95.1%	94.8%	95.5%
12	95.3%	95%	95.7%	95.2%	94.8%	95.6%
11	95.4%	95%	95.7%	95.3%	94.9%	95.6%
10	95.4%	95.1%	95.8%	95.3%	95%	95.7%
9	95.5%	95.1%	95.8%	95.4%	95.1%	95.8%
8	95.6%	95.2%	95.9%	95.5%	95.1%	95.8%
7	95.6%	95.3%	96%	95.6%	95.2%	95.9%
6	95.7%	95.4%	96%	95.7%	95.3%	96%
5	95.8%	95.5%	96.1%	95.8%	95.5%	96.1%
4	96%	95.7%	96.3%	95.9%	95.6%	96.3%
3	96.1%	95.8%	96.4%	96.2%	95.8%	96.5%
2	96.4%	96.1%	96.7%	96.5%	96.1%	96.8%
1	96.7%	96.4%	97%	96.9%	96.6%	97.3%

This chart shows the odds of living to each age from birth. 76.8% of newborns in Comoros and 66.2% in Zimbabwe are expected to live past 60, 57.9% and 47.3% past 70, 27.7% and 23.5% past 80, and only 4.48% and 4.99% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

Comoros

Male

Female

Zimbabwe

Male

Female

1x

Age	Probability of dying
	Comoros			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	41.5%	42.9%	40.8%	35.7%	38.2%	35%
99	39.7%	41.1%	38.9%	34.3%	36.9%	33.6%
98	38%	39.5%	37.2%	32.4%	35.2%	31.7%
97	36.2%	37.8%	35.4%	31.1%	33.9%	30.2%
96	34.4%	36.1%	33.5%	29.6%	32.5%	28.7%
95	32.6%	34.3%	31.6%	28.1%	31%	27.1%
94	30.7%	32.5%	29.8%	26.4%	29.5%	25.4%
93	29%	30.8%	28%	24.9%	27.9%	23.7%
92	27.3%	29.1%	26.2%	23.5%	26.4%	22.2%
91	25.7%	27.5%	24.6%	21.9%	24.9%	20.6%
90	24.2%	25.9%	23%	20.9%	23.7%	19.6%
89	22.7%	24.4%	21.5%	19.3%	22.2%	18%
88	21.2%	22.9%	20.1%	18.2%	20.9%	16.8%
87	19.8%	21.4%	18.6%	16.9%	19.7%	15.6%
86	18.4%	19.9%	17.3%	15.8%	18.5%	14.5%
85	17%	18.5%	15.9%	14.7%	17.3%	13.3%
84	15.7%	17.1%	14.6%	13.6%	16.2%	12.3%
83	14.4%	15.8%	13.4%	12.5%	15%	11.2%
82	13.3%	14.5%	12.3%	11.6%	14%	10.2%
81	12.2%	13.4%	11.2%	10.5%	12.9%	9.17%
80	11.2%	12.4%	10.2%	9.89%	12.1%	8.58%
79	10.3%	11.5%	9.34%	9.11%	11.1%	7.87%
78	9.43%	10.6%	8.51%	8.54%	10.4%	7.38%
77	8.64%	9.77%	7.73%	7.89%	9.57%	6.81%
76	7.9%	8.99%	7.01%	7.37%	8.9%	6.37%
75	7.21%	8.26%	6.35%	6.87%	8.28%	5.94%
74	6.56%	7.57%	5.72%	6.38%	7.68%	5.51%
73	5.96%	6.94%	5.15%	5.92%	7.12%	5.11%
72	5.41%	6.35%	4.63%	5.51%	6.62%	4.76%
71	4.91%	5.81%	4.15%	5.06%	6.09%	4.37%
70	4.46%	5.32%	3.72%	4.75%	5.7%	4.11%
69	4.06%	4.88%	3.34%	4.38%	5.25%	3.78%
68	3.69%	4.47%	3%	4.09%	4.9%	3.54%
67	3.37%	4.1%	2.71%	3.82%	4.56%	3.31%
66	3.08%	3.76%	2.45%	3.58%	4.26%	3.1%
65	2.82%	3.45%	2.22%	3.38%	4.01%	2.93%
64	2.58%	3.16%	2.02%	3.14%	3.74%	2.7%
63	2.36%	2.89%	1.84%	2.92%	3.5%	2.49%
62	2.15%	2.64%	1.67%	2.73%	3.28%	2.31%
61	1.97%	2.41%	1.52%	2.53%	3.04%	2.13%
60	1.8%	2.2%	1.39%	2.37%	2.87%	1.99%
59	1.64%	2.01%	1.26%	2.19%	2.65%	1.85%
58	1.5%	1.83%	1.16%	2.04%	2.48%	1.73%
57	1.38%	1.67%	1.06%	1.91%	2.33%	1.62%
56	1.26%	1.52%	0.98%	1.79%	2.2%	1.53%
55	1.16%	1.39%	0.91%	1.69%	2.09%	1.44%
54	1.07%	1.27%	0.84%	1.6%	1.97%	1.36%
53	0.98%	1.16%	0.78%	1.52%	1.87%	1.29%
52	0.9%	1.07%	0.72%	1.44%	1.78%	1.23%
51	0.83%	0.97%	0.67%	1.36%	1.68%	1.15%
50	0.76%	0.89%	0.62%	1.3%	1.6%	1.1%
49	0.7%	0.81%	0.58%	1.22%	1.5%	1.03%
48	0.64%	0.74%	0.54%	1.16%	1.41%	0.98%
47	0.59%	0.68%	0.5%	1.09%	1.33%	0.92%
46	0.54%	0.62%	0.46%	1.04%	1.25%	0.87%
45	0.5%	0.57%	0.43%	0.99%	1.19%	0.83%
44	0.46%	0.52%	0.4%	0.93%	1.12%	0.78%
43	0.43%	0.48%	0.37%	0.89%	1.06%	0.75%
42	0.39%	0.44%	0.35%	0.84%	1%	0.71%
41	0.37%	0.41%	0.32%	0.8%	0.95%	0.68%
40	0.34%	0.38%	0.3%	0.76%	0.9%	0.65%
39	0.32%	0.35%	0.28%	0.72%	0.85%	0.62%
38	0.3%	0.33%	0.27%	0.68%	0.8%	0.59%
37	0.28%	0.31%	0.25%	0.64%	0.75%	0.55%
36	0.26%	0.29%	0.23%	0.61%	0.71%	0.53%
35	0.25%	0.27%	0.22%	0.57%	0.66%	0.5%
34	0.23%	0.26%	0.21%	0.54%	0.62%	0.47%
33	0.22%	0.25%	0.19%	0.5%	0.58%	0.44%
32	0.21%	0.24%	0.18%	0.47%	0.54%	0.41%
31	0.2%	0.23%	0.18%	0.44%	0.51%	0.39%
30	0.19%	0.22%	0.17%	0.42%	0.48%	0.37%
29	0.19%	0.21%	0.16%	0.4%	0.45%	0.35%
28	0.18%	0.21%	0.15%	0.37%	0.42%	0.33%
27	0.18%	0.21%	0.15%	0.35%	0.4%	0.31%
26	0.18%	0.21%	0.14%	0.33%	0.37%	0.29%
25	0.17%	0.21%	0.13%	0.31%	0.35%	0.26%
24	0.17%	0.21%	0.13%	0.29%	0.33%	0.25%
23	0.17%	0.22%	0.13%	0.27%	0.31%	0.23%
22	0.17%	0.22%	0.12%	0.25%	0.29%	0.21%
21	0.17%	0.22%	0.12%	0.23%	0.27%	0.19%
20	0.17%	0.21%	0.12%	0.21%	0.25%	0.18%
19	0.16%	0.2%	0.12%	0.19%	0.22%	0.16%
18	0.15%	0.18%	0.11%	0.17%	0.2%	0.15%
17	0.13%	0.16%	0.1%	0.15%	0.17%	0.13%
16	0.11%	0.13%	0.09%	0.13%	0.14%	0.12%
15	0.1%	0.11%	0.08%	0.11%	0.12%	0.1%
14	0.08%	0.09%	0.07%	0.1%	0.1%	0.09%
13	0.07%	0.08%	0.06%	0.08%	0.09%	0.08%
12	0.06%	0.07%	0.06%	0.08%	0.08%	0.07%
11	0.06%	0.07%	0.06%	0.07%	0.08%	0.07%
10	0.06%	0.06%	0.05%	0.07%	0.08%	0.07%
9	0.06%	0.07%	0.06%	0.08%	0.08%	0.07%
8	0.07%	0.07%	0.06%	0.08%	0.09%	0.08%
7	0.08%	0.09%	0.07%	0.09%	0.1%	0.09%
6	0.09%	0.1%	0.09%	0.1%	0.11%	0.1%
5	0.12%	0.12%	0.11%	0.12%	0.13%	0.12%
4	0.14%	0.15%	0.14%	0.16%	0.17%	0.16%
3	0.18%	0.19%	0.18%	0.22%	0.22%	0.22%
2	0.24%	0.24%	0.23%	0.32%	0.32%	0.32%
1	0.31%	0.31%	0.31%	0.5%	0.48%	0.52%
0	3.33%	3.62%	3.03%	3.05%	3.4%	2.7%

This chart displays the probability of dying at any given age in Comoros compared to Zimbabwe, as mortality rates vary throughout a lifetime.

The annual chance of dying is 3.33% in the birth year in Comoros and 3.05% in Zimbabwe, 0.19% vs 0.42% at age 30, 1.8% vs 2.37% at 60, and 11.2% vs 9.89% at 80.

Death rate by age in Comoros vs Zimbabwe

Chart Table

Comoros

Male

Female

Zimbabwe

Male

Female

1x

Age	Death rate
	Comoros			Zimbabwe
	Total	Male	Female	Total	Male	Female
100	0	0	0	24.9	0	53
99	62.7	34.9	96.2	105.4	43.2	168.4
98	96.7	55.5	146.3	147.6	63.5	232.4
97	144.4	85.4	215.2	205	92.4	318
96	209.1	127.4	307	277.6	131.3	423
95	293.5	184.3	423	366	181.8	548
94	400	259	567	469	244.7	687
93	532	354	740	588	322	843
92	689	472	940	724	414	1,016
91	873	614	1,168	863	518	1,184
90	1,082	782	1,420	1,040	647	1,401
89	1,313	974	1,692	1,196	779	1,570
88	1,560	1,186	1,973	1,372	930	1,762
87	1,814	1,411	2,255	1,540	1,088	1,934
86	2,065	1,641	2,523	1,709	1,253	2,102
85	2,304	1,867	2,768	1,858	1,418	2,232
84	2,519	2,081	2,981	1,999	1,583	2,345
83	2,707	2,279	3,156	2,102	1,730	2,403
82	2,867	2,460	3,292	2,197	1,873	2,450
81	2,998	2,623	3,389	2,235	1,982	2,419
80	3,101	2,766	3,447	2,328	2,113	2,474
79	3,175	2,888	3,468	2,358	2,186	2,465
78	3,219	2,983	3,452	2,416	2,272	2,497
77	3,229	3,050	3,401	2,424	2,321	2,470
76	3,205	3,085	3,317	2,444	2,370	2,468
75	3,150	3,090	3,204	2,448	2,404	2,446
74	3,068	3,065	3,066	2,427	2,414	2,401
73	2,964	3,017	2,909	2,393	2,412	2,346
72	2,845	2,949	2,740	2,356	2,400	2,294
71	2,716	2,866	2,563	2,281	2,352	2,203
70	2,582	2,773	2,387	2,250	2,336	2,164
69	2,446	2,670	2,216	2,166	2,269	2,069
68	2,314	2,562	2,055	2,111	2,224	2,007
67	2,185	2,450	1,905	2,050	2,172	1,938
66	2,060	2,335	1,767	1,993	2,121	1,875
65	1,939	2,217	1,640	1,945	2,075	1,824
64	1,820	2,097	1,521	1,866	2,014	1,726
63	1,704	1,976	1,409	1,790	1,952	1,636
62	1,591	1,856	1,304	1,718	1,890	1,553
61	1,483	1,736	1,205	1,632	1,809	1,463
60	1,379	1,620	1,112	1,571	1,756	1,398
59	1,281	1,507	1,027	1,481	1,664	1,318
58	1,190	1,400	951	1,411	1,599	1,257
57	1,106	1,299	882	1,341	1,537	1,197
56	1,027	1,204	821	1,284	1,485	1,146
55	955	1,116	767	1,233	1,440	1,097
54	887	1,034	718	1,184	1,389	1,052
53	824	956	672	1,140	1,342	1,009
52	765	884	629	1,100	1,298	971
51	709	816	588	1,050	1,245	925
50	656	753	549	1,018	1,207	892
49	606	694	511	969	1,146	846
48	560	639	476	929	1,096	806
47	518	587	443	888	1,046	766
46	479	541	413	850	1,000	731
45	443	498	385	816	958	702
44	411	459	359	779	911	669
43	382	424	336	747	871	642
42	355	393	315	717	834	617
41	331	365	295.6	685	795	592
40	310	340	277.8	659	766	571
39	289.9	318	261.2	627	725	545
38	271.8	298.1	245.5	599	691	522
37	255.2	280.1	230.7	568	655	496
36	239.9	263.9	216.8	539	619	473
35	226	249.4	203.8	512	586	450
34	213.6	236.6	191.9	481	550	423
33	202.7	225.4	181.3	453	517	400
32	193.3	216	172	428	487	379
31	185.4	208.2	163.8	403	458	356
30	178.9	202.2	156.6	385	436	341
29	173.7	197.9	149.9	363	409	323
28	169.5	195.4	143.7	343	387	303
27	166.3	194.4	137.7	324	365	286.2
26	164	195	132.1	304	344	267.1
25	162.7	196.8	127	286.4	326	248.2
24	162.1	199.4	122.8	268.5	307	231.1
23	162.1	202.2	119.7	251.5	289	214.4
22	162	204	117.4	234.1	270.1	198.3
21	161	203.6	115.7	216.1	249.9	182.2
20	157.5	198.8	113.6	200.4	229.9	170.6
19	150.4	188.3	110.2	182.4	209.2	155.3
18	139.2	171.8	104.6	164.9	188.9	140.6
17	124.3	150.5	96.7	143.2	161.3	124.9
16	107.8	127.6	87.1	122.8	135.4	110
15	91.8	106	77.1	106.1	114.9	97.1
14	78.2	88.2	67.9	90.9	97.8	83.9
13	67.9	75	60.5	80.4	85.9	74.8
12	61	66.5	55.4	73.9	79.4	68.4
11	57.5	62.1	52.7	70.9	76.1	65.5
10	57	61.4	52.4	70.4	74.5	66.2
9	59.5	64.3	54.7	72.9	76.9	68.8
8	65.4	70.7	59.9	78.6	83.3	73.8
7	75.1	81.2	68.8	87.5	92.4	82.5
6	89.6	96.6	82.4	98.5	103	94
5	110.2	117.9	102.3	116.6	119.9	113.1
4	138.8	146.7	130.7	153.9	157.9	149.8
3	177.9	185.1	170.4	211.7	213.4	209.9
2	230.3	235.4	225.1	308	305	311
1	300	301	299.3	484	463	505
0	3,328	3,618	3,032	3,053	3,402	2,699

This chart shows the number of deaths by age up to 100 for 3 cohorts of 100,000 newborns each — male, female, and both combined — illustrating how expected mortality is distributed throughout life.

In Comoros, the most common age of death is 0, compared to 0 in Zimbabwe. The median age of death is 72.9 in Comoros and 68.8 in Zimbabwe, meaning only half of each cohort is expected to live past that age.

Note that this chart does not show rates per 100,000 population, as those would be skewed by age structure differences and reflect the demographics of Comoros and Zimbabwe more than their death rates.

Life expectancy in other countries

+ -

1x