Life Expectancy in Comoros vs Lithuania (1950-2026)

Life expectancy by current age

Chart Table

Comoros

Male

Female

Lithuania

Male

Female

1x

Current age, years	Total life expectancy, years
	Comoros			Lithuania
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.9	102	101.8	102
99	100.9	100.8	101	101.1	100.9	101.1
98	100	99.9	100	100.2	100.1	100.2
97	99.1	99	99.1	99.3	99.2	99.3
96	98.2	98.1	98.3	98.5	98.4	98.5
95	97.3	97.2	97.4	97.7	97.6	97.7
94	96.5	96.3	96.5	96.9	96.7	96.9
93	95.6	95.5	95.7	96.1	95.9	96.1
92	94.8	94.6	94.8	95.4	95.2	95.4
91	93.9	93.7	94	94.6	94.4	94.7
90	93.1	92.9	93.2	94	93.7	94
89	92.3	92.1	92.4	93.3	93	93.4
88	91.5	91.3	91.6	92.6	92.3	92.7
87	90.7	90.5	90.9	92	91.6	92.1
86	89.9	89.7	90.1	91.4	90.9	91.6
85	89.2	88.9	89.4	90.8	90.3	91
84	88.4	88.1	88.7	90.3	89.7	90.5
83	87.7	87.4	88	89.8	89.1	90
82	87	86.7	87.3	89.3	88.5	89.6
81	86.4	86	86.6	88.8	88	89.2
80	85.7	85.3	86	88.4	87.4	88.8
79	85.1	84.7	85.4	88	86.9	88.4
78	84.4	84	84.8	87.5	86.4	88.1
77	83.8	83.4	84.3	87.1	85.8	87.8
76	83.3	82.7	83.7	86.8	85.3	87.5
75	82.7	82.1	83.2	86.4	84.8	87.2
74	82.2	81.6	82.7	86	84.3	86.9
73	81.6	81	82.2	85.6	83.8	86.6
72	81.2	80.5	81.8	85.3	83.3	86.4
71	80.7	79.9	81.3	84.9	82.9	86.1
70	80.2	79.4	80.9	84.6	82.4	85.9
69	79.8	79	80.6	84.2	81.9	85.7
68	79.4	78.5	80.2	83.9	81.5	85.5
67	79	78	79.9	83.6	81	85.3
66	78.6	77.6	79.5	83.3	80.6	85.1
65	78.2	77.2	79.2	82.9	80.2	84.9
64	77.9	76.8	78.9	82.6	79.8	84.7
63	77.5	76.4	78.6	82.3	79.4	84.5
62	77.2	76	78.4	82.1	79	84.3
61	76.9	75.7	78.1	81.8	78.7	84.2
60	76.6	75.4	77.9	81.5	78.3	84
59	76.3	75	77.6	81.3	78	83.9
58	76.1	74.7	77.4	81.1	77.7	83.7
57	75.8	74.4	77.2	80.9	77.4	83.6
56	75.6	74.2	77	80.7	77.2	83.5
55	75.3	73.9	76.8	80.4	76.9	83.4
54	75.1	73.7	76.6	80.2	76.6	83.3
53	74.9	73.4	76.4	80.1	76.4	83.2
52	74.7	73.2	76.3	79.9	76.2	83.1
51	74.5	73	76.1	79.7	75.9	82.9
50	74.3	72.8	75.9	79.5	75.7	82.9
49	74.1	72.6	75.8	79.4	75.5	82.8
48	74	72.4	75.6	79.2	75.3	82.7
47	73.8	72.3	75.5	79.1	75.1	82.6
46	73.7	72.1	75.4	78.9	74.9	82.5
45	73.5	71.9	75.2	78.8	74.8	82.4
44	73.4	71.8	75.1	78.7	74.6	82.3
43	73.3	71.7	75	78.5	74.4	82.3
42	73.1	71.5	74.9	78.4	74.3	82.2
41	73	71.4	74.8	78.3	74.1	82.2
40	72.9	71.3	74.7	78.2	74	82.1
39	72.8	71.2	74.6	78.1	73.9	82
38	72.7	71.1	74.5	78	73.7	82
37	72.6	71	74.4	77.9	73.6	81.9
36	72.5	70.9	74.3	77.8	73.5	81.9
35	72.4	70.8	74.2	77.7	73.4	81.9
34	72.3	70.7	74.1	77.6	73.3	81.8
33	72.3	70.6	74	77.6	73.2	81.8
32	72.2	70.5	74	77.5	73.1	81.7
31	72.1	70.4	73.9	77.4	73	81.7
30	72	70.3	73.8	77.4	72.9	81.7
29	71.9	70.2	73.8	77.3	72.8	81.7
28	71.9	70.1	73.7	77.3	72.7	81.6
27	71.8	70.1	73.6	77.2	72.7	81.6
26	71.7	70	73.5	77.2	72.6	81.6
25	71.6	69.9	73.5	77.1	72.6	81.6
24	71.5	69.8	73.4	77.1	72.5	81.6
23	71.4	69.7	73.4	77.1	72.5	81.5
22	71.4	69.6	73.3	77	72.4	81.5
21	71.3	69.5	73.2	77	72.4	81.5
20	71.2	69.4	73.2	77	72.3	81.5
19	71.1	69.3	73.1	76.9	72.3	81.5
18	71	69.2	73	76.9	72.2	81.4
17	71	69.1	73	76.9	72.2	81.4
16	70.9	69	72.9	76.9	72.2	81.4
15	70.9	69	72.9	76.8	72.2	81.4
14	70.8	68.9	72.9	76.8	72.2	81.4
13	70.8	68.9	72.8	76.8	72.1	81.4
12	70.7	68.8	72.8	76.8	72.1	81.4
11	70.7	68.8	72.7	76.8	72.1	81.4
10	70.7	68.7	72.7	76.8	72.1	81.4
9	70.6	68.7	72.7	76.8	72.1	81.4
8	70.6	68.7	72.6	76.8	72.1	81.3
7	70.5	68.6	72.6	76.8	72.1	81.3
6	70.5	68.5	72.5	76.8	72.1	81.3
5	70.4	68.5	72.5	76.8	72.1	81.3
4	70.3	68.4	72.4	76.7	72.1	81.3
3	70.2	68.2	72.2	76.7	72.1	81.3
2	70	68.1	72.1	76.7	72	81.3
1	69.8	67.9	71.9	76.7	72	81.3
0	67.5	65.4	69.7	76.5	71.8	81.1

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 77.4 in Lithuania, rising to 78.2 and 82.9 at 65, and to 85.7 and 88.4 at 80 — higher than the 67.5 and 76.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Comoros

Male

Female

Lithuania

Male

Female

1x

Age	Survival probability
	Comoros			Lithuania
	Average	Male	Female	Average	Male	Female
100	0.1%	0.05%	0.15%	0.83%	0.39%	1.21%
99	0.16%	0.08%	0.25%	1.32%	0.62%	1.92%
98	0.25%	0.14%	0.39%	2.01%	0.95%	2.92%
97	0.4%	0.23%	0.61%	2.95%	1.42%	4.28%
96	0.61%	0.35%	0.92%	4.19%	2.04%	6.06%
95	0.9%	0.54%	1.34%	5.75%	2.85%	8.27%
94	1.3%	0.8%	1.91%	7.68%	3.93%	11%
93	1.83%	1.15%	2.65%	10%	5.28%	14.2%
92	2.52%	1.62%	3.59%	12.6%	6.79%	17.7%
91	3.4%	2.24%	4.75%	15.4%	8.41%	21.6%
90	4.48%	3.02%	6.18%	18.6%	10.4%	25.8%
89	5.79%	3.99%	7.87%	21.9%	12.6%	30.1%
88	7.35%	5.18%	9.84%	25.3%	14.8%	34.6%
87	9.16%	6.59%	12.1%	28.8%	17.3%	39.2%
86	11.2%	8.23%	14.6%	32.4%	19.9%	43.6%
85	13.5%	10.1%	17.4%	35.8%	22.5%	47.9%
84	16.1%	12.2%	20.4%	39.2%	25.1%	51.9%
83	18.8%	14.5%	23.5%	42.4%	27.8%	55.7%
82	21.6%	16.9%	26.8%	45.4%	30.5%	59.1%
81	24.6%	19.5%	30.2%	48.3%	33.2%	62.3%
80	27.7%	22.3%	33.7%	51.1%	35.8%	65.3%
79	30.9%	25.2%	37.1%	53.6%	38.4%	67.9%
78	34.1%	28.2%	40.6%	56%	40.9%	70.3%
77	37.3%	31.2%	44%	58.3%	43.5%	72.5%
76	40.6%	34.3%	47.3%	60.6%	46.1%	74.5%
75	43.7%	37.4%	50.5%	62.7%	48.6%	76.3%
74	46.8%	40.5%	53.6%	64.7%	51.1%	78.1%
73	49.7%	43.5%	56.5%	66.7%	53.5%	79.6%
72	52.6%	46.4%	59.2%	68.6%	55.9%	81.1%
71	55.3%	49.3%	61.8%	70.4%	58.2%	82.4%
70	57.9%	52.1%	64.2%	72.1%	60.5%	83.6%
69	60.3%	54.7%	66.4%	73.7%	62.7%	84.8%
68	62.6%	57.3%	68.4%	75.3%	64.9%	85.9%
67	64.8%	59.8%	70.3%	76.8%	67%	86.9%
66	66.9%	62.1%	72.1%	78.3%	69.1%	87.9%
65	68.8%	64.3%	73.7%	79.8%	71.1%	88.8%
64	70.6%	66.4%	75.3%	81.1%	73%	89.6%
63	72.3%	68.4%	76.7%	82.3%	74.8%	90.3%
62	73.9%	70.2%	78%	83.5%	76.4%	91%
61	75.4%	72%	79.2%	84.6%	78%	91.7%
60	76.8%	73.6%	80.3%	85.7%	79.5%	92.3%
59	78.1%	75.1%	81.3%	86.6%	80.8%	92.8%
58	79.3%	76.5%	82.3%	87.5%	82.1%	93.3%
57	80.4%	77.8%	83.1%	88.3%	83.2%	93.7%
56	81.4%	79%	84%	89%	84.4%	94.1%
55	82.4%	80.1%	84.7%	89.8%	85.4%	94.5%
54	83.2%	81.2%	85.5%	90.5%	86.4%	94.9%
53	84.1%	82.1%	86.1%	91.1%	87.4%	95.3%
52	84.8%	83%	86.8%	91.7%	88.2%	95.6%
51	85.5%	83.8%	87.3%	92.3%	89%	95.9%
50	86.2%	84.6%	87.9%	92.8%	89.7%	96.2%
49	86.8%	85.3%	88.4%	93.3%	90.4%	96.5%
48	87.4%	85.9%	88.9%	93.7%	91.1%	96.7%
47	87.9%	86.5%	89.3%	94.2%	91.8%	97%
46	88.4%	87%	89.7%	94.6%	92.3%	97.2%
45	88.8%	87.5%	90.1%	95%	92.9%	97.4%
44	89.2%	88%	90.5%	95.4%	93.4%	97.6%
43	89.6%	88.4%	90.8%	95.7%	93.9%	97.8%
42	90%	88.8%	91.1%	96%	94.3%	97.9%
41	90.3%	89.2%	91.4%	96.3%	94.8%	98%
40	90.6%	89.5%	91.7%	96.6%	95.2%	98.2%
39	90.9%	89.8%	92%	96.9%	95.6%	98.3%
38	91.2%	90.1%	92.2%	97.1%	96%	98.4%
37	91.4%	90.4%	92.4%	97.4%	96.3%	98.5%
36	91.6%	90.7%	92.7%	97.6%	96.6%	98.6%
35	91.9%	90.9%	92.9%	97.8%	96.9%	98.7%
34	92.1%	91.1%	93.1%	97.9%	97.1%	98.8%
33	92.3%	91.4%	93.2%	98.1%	97.4%	98.9%
32	92.5%	91.6%	93.4%	98.3%	97.6%	99%
31	92.7%	91.8%	93.6%	98.4%	97.8%	99%
30	92.8%	92%	93.7%	98.5%	98%	99.1%
29	93%	92.2%	93.9%	98.6%	98.2%	99.1%
28	93.2%	92.4%	94%	98.7%	98.3%	99.2%
27	93.4%	92.6%	94.2%	98.8%	98.5%	99.2%
26	93.5%	92.8%	94.3%	98.9%	98.6%	99.2%
25	93.7%	93%	94.4%	99%	98.7%	99.3%
24	93.8%	93.2%	94.5%	99.1%	98.8%	99.3%
23	94%	93.4%	94.7%	99.1%	98.9%	99.3%
22	94.2%	93.6%	94.8%	99.2%	99%	99.4%
21	94.3%	93.8%	94.9%	99.2%	99.1%	99.4%
20	94.5%	94%	95%	99.3%	99.2%	99.4%
19	94.6%	94.2%	95.1%	99.4%	99.3%	99.5%
18	94.8%	94.3%	95.2%	99.4%	99.4%	99.5%
17	94.9%	94.5%	95.3%	99.5%	99.4%	99.5%
16	95%	94.6%	95.4%	99.5%	99.4%	99.5%
15	95.1%	94.7%	95.5%	99.5%	99.5%	99.5%
14	95.2%	94.8%	95.6%	99.5%	99.5%	99.6%
13	95.3%	94.9%	95.6%	99.6%	99.5%	99.6%
12	95.3%	95%	95.7%	99.6%	99.6%	99.6%
11	95.4%	95%	95.7%	99.6%	99.6%	99.6%
10	95.4%	95.1%	95.8%	99.6%	99.6%	99.6%
9	95.5%	95.1%	95.8%	99.6%	99.6%	99.6%
8	95.6%	95.2%	95.9%	99.6%	99.6%	99.6%
7	95.6%	95.3%	96%	99.6%	99.6%	99.6%
6	95.7%	95.4%	96%	99.6%	99.6%	99.7%
5	95.8%	95.5%	96.1%	99.6%	99.6%	99.7%
4	96%	95.7%	96.3%	99.7%	99.6%	99.7%
3	96.1%	95.8%	96.4%	99.7%	99.7%	99.7%
2	96.4%	96.1%	96.7%	99.7%	99.7%	99.7%
1	96.7%	96.4%	97%	99.7%	99.7%	99.7%

This chart shows the odds of living to each age from birth. 76.8% of newborns in Comoros and 85.7% in Lithuania are expected to live past 60, 57.9% and 72.1% past 70, 27.7% and 51.1% past 80, and only 4.48% and 18.6% 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

Lithuania

Male

Female

1x

Age	Probability of dying
	Comoros			Lithuania
	Average	Male	Female	Average	Male	Female
100	41.5%	42.9%	40.8%	39.3%	39.3%	39.3%
99	39.7%	41.1%	38.9%	36.9%	37.2%	36.8%
98	38%	39.5%	37.2%	34.4%	35%	34.3%
97	36.2%	37.8%	35.4%	32%	32.8%	31.8%
96	34.4%	36.1%	33.5%	29.6%	30.6%	29.3%
95	32.6%	34.3%	31.6%	27.1%	28.5%	26.8%
94	30.7%	32.5%	29.8%	25.2%	27.3%	24.6%
93	29%	30.8%	28%	23.2%	25.7%	22.5%
92	27.3%	29.1%	26.2%	20.7%	22.1%	20.2%
91	25.7%	27.5%	24.6%	18.3%	19.3%	18%
90	24.2%	25.9%	23%	16.8%	19.1%	16.1%
89	22.7%	24.4%	21.5%	15.2%	17.3%	14.5%
88	21.2%	22.9%	20.1%	13.5%	15.1%	13%
87	19.8%	21.4%	18.6%	12.3%	14.4%	11.6%
86	18.4%	19.9%	17.3%	11%	13.1%	10.2%
85	17%	18.5%	15.9%	9.6%	11.4%	8.93%
84	15.7%	17.1%	14.6%	8.47%	10.4%	7.75%
83	14.4%	15.8%	13.4%	7.54%	9.67%	6.7%
82	13.3%	14.5%	12.3%	6.69%	8.81%	5.82%
81	12.2%	13.4%	11.2%	6.01%	8.11%	5.12%
80	11.2%	12.4%	10.2%	5.41%	7.44%	4.51%
79	10.3%	11.5%	9.34%	4.77%	6.65%	3.91%
78	9.43%	10.6%	8.51%	4.3%	6.23%	3.39%
77	8.64%	9.77%	7.73%	3.98%	6%	2.98%
76	7.9%	8.99%	7.01%	3.69%	5.61%	2.7%
75	7.21%	8.26%	6.35%	3.4%	5.16%	2.45%
74	6.56%	7.57%	5.72%	3.14%	4.82%	2.19%
73	5.96%	6.94%	5.15%	2.93%	4.53%	1.99%
72	5.41%	6.35%	4.63%	2.74%	4.26%	1.82%
71	4.91%	5.81%	4.15%	2.54%	4.02%	1.6%
70	4.46%	5.32%	3.72%	2.35%	3.77%	1.44%
69	4.06%	4.88%	3.34%	2.23%	3.51%	1.37%
68	3.69%	4.47%	3%	2.11%	3.33%	1.26%
67	3.37%	4.1%	2.71%	2.01%	3.19%	1.16%
66	3.08%	3.76%	2.45%	1.92%	3.03%	1.11%
65	2.82%	3.45%	2.22%	1.79%	2.81%	1.01%
64	2.58%	3.16%	2.02%	1.64%	2.58%	0.9%
63	2.36%	2.89%	1.84%	1.52%	2.36%	0.83%
62	2.15%	2.64%	1.67%	1.41%	2.17%	0.78%
61	1.97%	2.41%	1.52%	1.31%	2.01%	0.71%
60	1.8%	2.2%	1.39%	1.2%	1.86%	0.63%
59	1.64%	2.01%	1.26%	1.09%	1.69%	0.58%
58	1.5%	1.83%	1.16%	0.98%	1.48%	0.54%
57	1.38%	1.67%	1.06%	0.91%	1.39%	0.47%
56	1.26%	1.52%	0.98%	0.86%	1.34%	0.42%
55	1.16%	1.39%	0.91%	0.83%	1.26%	0.42%
54	1.07%	1.27%	0.84%	0.78%	1.16%	0.42%
53	0.98%	1.16%	0.78%	0.7%	1.06%	0.36%
52	0.9%	1.07%	0.72%	0.65%	0.97%	0.34%
51	0.83%	0.97%	0.67%	0.61%	0.88%	0.34%
50	0.76%	0.89%	0.62%	0.56%	0.83%	0.29%
49	0.7%	0.81%	0.58%	0.53%	0.78%	0.27%
48	0.64%	0.74%	0.54%	0.51%	0.74%	0.27%
47	0.59%	0.68%	0.5%	0.48%	0.69%	0.25%
46	0.54%	0.62%	0.46%	0.44%	0.64%	0.23%
45	0.5%	0.57%	0.43%	0.41%	0.6%	0.2%
44	0.46%	0.52%	0.4%	0.38%	0.54%	0.2%
43	0.43%	0.48%	0.37%	0.35%	0.5%	0.19%
42	0.39%	0.44%	0.35%	0.33%	0.49%	0.16%
41	0.37%	0.41%	0.32%	0.31%	0.47%	0.13%
40	0.34%	0.38%	0.3%	0.28%	0.42%	0.13%
39	0.32%	0.35%	0.28%	0.28%	0.41%	0.13%
38	0.3%	0.33%	0.27%	0.27%	0.4%	0.12%
37	0.28%	0.31%	0.25%	0.23%	0.33%	0.11%
36	0.26%	0.29%	0.23%	0.21%	0.3%	0.1%
35	0.25%	0.27%	0.22%	0.2%	0.29%	0.09%
34	0.23%	0.26%	0.21%	0.19%	0.28%	0.09%
33	0.22%	0.25%	0.19%	0.18%	0.26%	0.09%
32	0.21%	0.24%	0.18%	0.15%	0.23%	0.06%
31	0.2%	0.23%	0.18%	0.13%	0.2%	0.06%
30	0.19%	0.22%	0.17%	0.13%	0.19%	0.06%
29	0.19%	0.21%	0.16%	0.13%	0.2%	0.05%
28	0.18%	0.21%	0.15%	0.11%	0.18%	0.04%
27	0.18%	0.21%	0.15%	0.09%	0.14%	0.04%
26	0.18%	0.21%	0.14%	0.08%	0.13%	0.04%
25	0.17%	0.21%	0.13%	0.08%	0.12%	0.03%
24	0.17%	0.21%	0.13%	0.07%	0.11%	0.03%
23	0.17%	0.22%	0.13%	0.07%	0.1%	0.03%
22	0.17%	0.22%	0.12%	0.06%	0.09%	0.03%
21	0.17%	0.22%	0.12%	0.06%	0.08%	0.03%
20	0.17%	0.21%	0.12%	0.06%	0.08%	0.03%
19	0.16%	0.2%	0.12%	0.06%	0.09%	0.03%
18	0.15%	0.18%	0.11%	0.05%	0.07%	0.03%
17	0.13%	0.16%	0.1%	0.03%	0.04%	0.02%
16	0.11%	0.13%	0.09%	0.03%	0.05%	0.02%
15	0.1%	0.11%	0.08%	0.03%	0.04%	0.02%
14	0.08%	0.09%	0.07%	0.03%	0.03%	0.02%
13	0.07%	0.08%	0.06%	0.02%	0.02%	0.02%
12	0.06%	0.07%	0.06%	0.01%	0.02%	0.01%
11	0.06%	0.07%	0.06%	0.01%	0.02%	0.008%
10	0.06%	0.06%	0.05%	0.01%	0.01%	0.01%
9	0.06%	0.07%	0.06%	0.01%	0.009%	0.01%
8	0.07%	0.07%	0.06%	0.01%	0.01%	0.01%
7	0.08%	0.09%	0.07%	0.01%	0.01%	0.01%
6	0.09%	0.1%	0.09%	0.01%	0.009%	0.01%
5	0.12%	0.12%	0.11%	0.009%	0.009%	0.01%
4	0.14%	0.15%	0.14%	0.01%	0.01%	0.01%
3	0.18%	0.19%	0.18%	0.01%	0.01%	0.01%
2	0.24%	0.24%	0.23%	0.01%	0.01%	0.01%
1	0.31%	0.31%	0.31%	0.03%	0.02%	0.03%
0	3.33%	3.62%	3.03%	0.29%	0.3%	0.28%

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

The annual chance of dying is 3.33% in the birth year in Comoros and 0.29% in Lithuania, 0.19% vs 0.13% at age 30, 1.8% vs 1.2% at 60, and 11.2% vs 5.41% at 80.

Death rate by age in Comoros vs Lithuania

Chart Table

Comoros

Male

Female

Lithuania

Male

Female

1x

Age	Death rate
	Comoros			Lithuania
	Total	Male	Female	Total	Male	Female
100	0	0	0	174.6	56.5	274.1
99	62.7	34.9	96.2	485	230.3	706
98	96.7	55.5	146.3	690	333	1,000
97	144.4	85.4	215.2	945	465	1,362
96	209.1	127.4	307	1,240	624	1,777
95	293.5	184.3	423	1,559	812	2,213
94	400	259	567	1,933	1,074	2,695
93	532	354	740	2,322	1,356	3,186
92	689	472	940	2,605	1,503	3,588
91	873	614	1,168	2,822	1,627	3,887
90	1,082	782	1,420	3,119	1,989	4,148
89	1,313	974	1,692	3,315	2,179	4,361
88	1,560	1,186	1,973	3,420	2,242	4,500
87	1,814	1,411	2,255	3,556	2,501	4,539
86	2,065	1,641	2,523	3,561	2,606	4,462
85	2,304	1,867	2,768	3,442	2,562	4,282
84	2,519	2,081	2,981	3,319	2,605	4,028
83	2,707	2,279	3,156	3,194	2,688	3,733
82	2,867	2,460	3,292	3,036	2,683	3,441
81	2,998	2,623	3,389	2,903	2,691	3,191
80	3,101	2,766	3,447	2,761	2,665	2,945
79	3,175	2,888	3,468	2,559	2,550	2,657
78	3,219	2,983	3,452	2,410	2,551	2,381
77	3,229	3,050	3,401	2,321	2,611	2,161
76	3,205	3,085	3,317	2,234	2,586	2,009
75	3,150	3,090	3,204	2,134	2,512	1,873
74	3,068	3,065	3,066	2,030	2,466	1,712
73	2,964	3,017	2,909	1,953	2,423	1,589
72	2,845	2,949	2,740	1,881	2,380	1,473
71	2,716	2,866	2,563	1,785	2,341	1,322
70	2,582	2,773	2,387	1,696	2,284	1,202
69	2,446	2,670	2,216	1,642	2,203	1,159
68	2,314	2,562	2,055	1,590	2,161	1,081
67	2,185	2,450	1,905	1,542	2,140	1,004
66	2,060	2,335	1,767	1,507	2,091	975
65	1,939	2,217	1,640	1,429	2,002	900
64	1,820	2,097	1,521	1,330	1,887	809
63	1,704	1,976	1,409	1,248	1,765	754
62	1,591	1,856	1,304	1,177	1,655	711
61	1,483	1,736	1,205	1,106	1,569	648
60	1,379	1,620	1,112	1,028	1,481	582
59	1,281	1,507	1,027	942	1,363	535
58	1,190	1,400	951	857	1,218	506
57	1,106	1,299	882	800	1,155	445
56	1,027	1,204	821	766	1,132	394
55	955	1,116	767	742	1,077	398
54	887	1,034	718	702	1,001	394
53	824	956	672	639	928	338
52	765	884	629	596	853	327
51	709	816	588	560	787	324
50	656	753	549	518	741	280.7
49	606	694	511	493	708	260
48	560	639	476	475	674	256.5
47	518	587	443	448	630	244.5
46	479	541	413	417	589	222.4
45	443	498	385	391	555	199.3
44	411	459	359	361	507	192
43	382	424	336	336	467	183.2
42	355	393	315	320	461	155.8
41	331	365	295.6	301	446	132.1
40	310	340	277.8	275.1	398	130.8
39	289.9	318	261.2	271.3	396	125
38	271.8	298.1	245.5	262.3	387	115.9
37	255.2	280.1	230.7	224.5	322	110.3
36	239.9	263.9	216.8	201.3	287.8	100.8
35	226	249.4	203.8	194	281.1	93.1
34	213.6	236.6	191.9	186.8	269.6	92.7
33	202.7	225.4	181.3	172.2	250.4	84.7
32	193.3	216	172	148.5	225.2	62.9
31	185.4	208.2	163.8	130.3	194.6	59.1
30	178.9	202.2	156.6	123.6	182.3	59.6
29	173.7	197.9	149.9	123.7	194.9	46.9
28	169.5	195.4	143.7	109.5	173.6	40.2
27	166.3	194.4	137.7	90.6	138.4	39.5
26	164	195	132.1	82.1	123.9	38.2
25	162.7	196.8	127	77	118.5	33.7
24	162.1	199.4	122.8	67.9	107	27.3
23	162.1	202.2	119.7	64.5	99.2	28.2
22	162	204	117.4	62.3	92.2	31.2
21	161	203.6	115.7	56.7	82.6	30
20	157.5	198.8	113.6	56.2	83.3	28.3
19	150.4	188.3	110.2	62.7	94.3	30
18	139.2	171.8	104.6	50.7	70.8	29.8
17	124.3	150.5	96.7	34.2	43.8	24.1
16	107.8	127.6	87.1	30.9	45.9	15.2
15	91.8	106	77.1	29.1	40.8	16.8
14	78.2	88.2	67.9	25	28.9	20.8
13	67.9	75	60.5	19.1	21.8	16.4
12	61	66.5	55.4	14.3	18.6	9.7
11	57.5	62.1	52.7	12.2	15.7	8.41
10	57	61.4	52.4	10.5	10.8	10.2
9	59.5	64.3	54.7	10.3	9.11	11.5
8	65.4	70.7	59.9	12	13.2	10.7
7	75.1	81.2	68.8	11.3	12	10.7
6	89.6	96.6	82.4	9.63	8.66	10.7
5	110.2	117.9	102.3	9.42	9.23	9.62
4	138.8	146.7	130.7	11.3	12.2	10.4
3	177.9	185.1	170.4	13.8	14.4	13.1
2	230.3	235.4	225.1	13.2	14.4	11.8
1	300	301	299.3	25.4	24.3	26.4
0	3,328	3,618	3,032	291.9	305	278.5

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 86 in Lithuania. The median age of death is 72.9 in Comoros and 80.4 in Lithuania, 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 Lithuania more than their death rates.

Life expectancy in other countries

+ -

1x