Life Expectancy in Comoros vs Hungary (1950-2026)

Life expectancy by current age

Chart Table

Comoros

Male

Female

Hungary

Male

Female

1x

Current age, years	Total life expectancy, years
	Comoros			Hungary
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.9	102.1	102	102.2
99	100.9	100.8	101	101.2	101.1	101.3
98	100	99.9	100	100.3	100.2	100.4
97	99.1	99	99.1	99.5	99.4	99.5
96	98.2	98.1	98.3	98.6	98.5	98.7
95	97.3	97.2	97.4	97.8	97.7	97.9
94	96.5	96.3	96.5	97	96.9	97.1
93	95.6	95.5	95.7	96.3	96.1	96.3
92	94.8	94.6	94.8	95.5	95.3	95.6
91	93.9	93.7	94	94.8	94.5	94.8
90	93.1	92.9	93.2	94	93.8	94.1
89	92.3	92.1	92.4	93.4	93.1	93.5
88	91.5	91.3	91.6	92.7	92.4	92.8
87	90.7	90.5	90.9	92.1	91.7	92.2
86	89.9	89.7	90.1	91.4	91	91.6
85	89.2	88.9	89.4	90.8	90.4	91
84	88.4	88.1	88.7	90.2	89.7	90.5
83	87.7	87.4	88	89.7	89.1	89.9
82	87	86.7	87.3	89.1	88.5	89.4
81	86.4	86	86.6	88.6	87.9	89
80	85.7	85.3	86	88.1	87.4	88.5
79	85.1	84.7	85.4	87.7	86.8	88.1
78	84.4	84	84.8	87.2	86.3	87.7
77	83.8	83.4	84.3	86.8	85.8	87.4
76	83.3	82.7	83.7	86.4	85.3	87
75	82.7	82.1	83.2	86	84.8	86.7
74	82.2	81.6	82.7	85.6	84.4	86.4
73	81.6	81	82.2	85.3	83.9	86.1
72	81.2	80.5	81.8	84.9	83.5	85.9
71	80.7	79.9	81.3	84.6	83	85.6
70	80.2	79.4	80.9	84.2	82.6	85.4
69	79.8	79	80.6	83.9	82.2	85.1
68	79.4	78.5	80.2	83.6	81.8	84.9
67	79	78	79.9	83.2	81.4	84.6
66	78.6	77.6	79.5	82.9	81	84.4
65	78.2	77.2	79.2	82.6	80.5	84.2
64	77.9	76.8	78.9	82.3	80.1	84
63	77.5	76.4	78.6	82	79.8	83.8
62	77.2	76	78.4	81.7	79.4	83.6
61	76.9	75.7	78.1	81.4	79.1	83.4
60	76.6	75.4	77.9	81.2	78.7	83.2
59	76.3	75	77.6	80.9	78.4	83
58	76.1	74.7	77.4	80.7	78.1	82.8
57	75.8	74.4	77.2	80.4	77.8	82.7
56	75.6	74.2	77	80.2	77.5	82.5
55	75.3	73.9	76.8	80	77.3	82.4
54	75.1	73.7	76.6	79.8	77.1	82.3
53	74.9	73.4	76.4	79.6	76.8	82.2
52	74.7	73.2	76.3	79.5	76.6	82
51	74.5	73	76.1	79.3	76.5	82
50	74.3	72.8	75.9	79.2	76.3	81.9
49	74.1	72.6	75.8	79.1	76.1	81.8
48	74	72.4	75.6	79	76	81.7
47	73.8	72.3	75.5	78.9	75.9	81.6
46	73.7	72.1	75.4	78.8	75.8	81.6
45	73.5	71.9	75.2	78.7	75.7	81.5
44	73.4	71.8	75.1	78.6	75.6	81.5
43	73.3	71.7	75	78.6	75.5	81.4
42	73.1	71.5	74.9	78.5	75.5	81.4
41	73	71.4	74.8	78.5	75.4	81.3
40	72.9	71.3	74.7	78.4	75.4	81.3
39	72.8	71.2	74.6	78.4	75.3	81.3
38	72.7	71.1	74.5	78.3	75.3	81.3
37	72.6	71	74.4	78.3	75.2	81.2
36	72.5	70.9	74.3	78.3	75.2	81.2
35	72.4	70.8	74.2	78.2	75.1	81.2
34	72.3	70.7	74.1	78.2	75.1	81.1
33	72.3	70.6	74	78.2	75.1	81.1
32	72.2	70.5	74	78.1	75	81.1
31	72.1	70.4	73.9	78.1	75	81.1
30	72	70.3	73.8	78.1	75	81.1
29	71.9	70.2	73.8	78.1	74.9	81.1
28	71.9	70.1	73.7	78	74.9	81
27	71.8	70.1	73.6	78	74.9	81
26	71.7	70	73.5	78	74.8	81
25	71.6	69.9	73.5	78	74.8	81
24	71.5	69.8	73.4	78	74.8	81
23	71.4	69.7	73.4	77.9	74.8	81
22	71.4	69.6	73.3	77.9	74.7	81
21	71.3	69.5	73.2	77.9	74.7	81
20	71.2	69.4	73.2	77.9	74.7	81
19	71.1	69.3	73.1	77.9	74.7	80.9
18	71	69.2	73	77.8	74.6	80.9
17	71	69.1	73	77.8	74.6	80.9
16	70.9	69	72.9	77.8	74.6	80.9
15	70.9	69	72.9	77.8	74.6	80.9
14	70.8	68.9	72.9	77.8	74.6	80.9
13	70.8	68.9	72.8	77.8	74.6	80.9
12	70.7	68.8	72.8	77.8	74.6	80.9
11	70.7	68.8	72.7	77.8	74.6	80.9
10	70.7	68.7	72.7	77.8	74.6	80.9
9	70.6	68.7	72.7	77.8	74.5	80.9
8	70.6	68.7	72.6	77.8	74.5	80.9
7	70.5	68.6	72.6	77.8	74.5	80.9
6	70.5	68.5	72.5	77.8	74.5	80.9
5	70.4	68.5	72.5	77.8	74.5	80.9
4	70.3	68.4	72.4	77.7	74.5	80.9
3	70.2	68.2	72.2	77.7	74.5	80.8
2	70	68.1	72.1	77.7	74.5	80.8
1	69.8	67.9	71.9	77.7	74.5	80.8
0	67.5	65.4	69.7	77.5	74.3	80.6

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 78.1 in Hungary, rising to 78.2 and 82.6 at 65, and to 85.7 and 88.1 at 80 — higher than the 67.5 and 77.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Comoros

Male

Female

Hungary

Male

Female

1x

Age	Survival probability
	Comoros			Hungary
	Average	Male	Female	Average	Male	Female
100	0.1%	0.05%	0.15%	0.94%	0.51%	1.3%
99	0.16%	0.08%	0.25%	1.43%	0.79%	1.99%
98	0.25%	0.14%	0.39%	2.12%	1.18%	2.92%
97	0.4%	0.23%	0.61%	3.03%	1.71%	4.17%
96	0.61%	0.35%	0.92%	4.21%	2.42%	5.76%
95	0.9%	0.54%	1.34%	5.67%	3.31%	7.72%
94	1.3%	0.8%	1.91%	7.46%	4.44%	10.1%
93	1.83%	1.15%	2.65%	9.59%	5.84%	12.9%
92	2.52%	1.62%	3.59%	12%	7.51%	16%
91	3.4%	2.24%	4.75%	14.8%	9.39%	19.5%
90	4.48%	3.02%	6.18%	17.7%	11.5%	23.2%
89	5.79%	3.99%	7.87%	20.8%	13.8%	27.2%
88	7.35%	5.18%	9.84%	24.1%	16.3%	31.2%
87	9.16%	6.59%	12.1%	27.5%	18.9%	35.4%
86	11.2%	8.23%	14.6%	31%	21.7%	39.6%
85	13.5%	10.1%	17.4%	34.6%	24.6%	43.7%
84	16.1%	12.2%	20.4%	38.1%	27.6%	47.8%
83	18.8%	14.5%	23.5%	41.6%	30.7%	51.7%
82	21.6%	16.9%	26.8%	44.9%	33.7%	55.4%
81	24.6%	19.5%	30.2%	48.2%	36.8%	58.9%
80	27.7%	22.3%	33.7%	51.3%	39.9%	62.1%
79	30.9%	25.2%	37.1%	54.3%	42.9%	65%
78	34.1%	28.2%	40.6%	57%	45.7%	67.7%
77	37.3%	31.2%	44%	59.6%	48.6%	70.1%
76	40.6%	34.3%	47.3%	62.1%	51.3%	72.4%
75	43.7%	37.4%	50.5%	64.4%	53.9%	74.4%
74	46.8%	40.5%	53.6%	66.5%	56.4%	76.3%
73	49.7%	43.5%	56.5%	68.6%	58.9%	78%
72	52.6%	46.4%	59.2%	70.5%	61.2%	79.6%
71	55.3%	49.3%	61.8%	72.4%	63.5%	81.1%
70	57.9%	52.1%	64.2%	74.2%	65.8%	82.5%
69	60.3%	54.7%	66.4%	75.9%	67.9%	83.8%
68	62.6%	57.3%	68.4%	77.5%	70.1%	85%
67	64.8%	59.8%	70.3%	79.2%	72.1%	86.2%
66	66.9%	62.1%	72.1%	80.7%	74.1%	87.3%
65	68.8%	64.3%	73.7%	82.2%	76.1%	88.3%
64	70.6%	66.4%	75.3%	83.6%	78.1%	89.3%
63	72.3%	68.4%	76.7%	85%	79.9%	90.2%
62	73.9%	70.2%	78%	86.3%	81.6%	91%
61	75.4%	72%	79.2%	87.5%	83.2%	91.8%
60	76.8%	73.6%	80.3%	88.6%	84.8%	92.6%
59	78.1%	75.1%	81.3%	89.7%	86.2%	93.3%
58	79.3%	76.5%	82.3%	90.6%	87.5%	93.9%
57	80.4%	77.8%	83.1%	91.6%	88.8%	94.5%
56	81.4%	79%	84%	92.4%	89.9%	95%
55	82.4%	80.1%	84.7%	93.2%	91%	95.5%
54	83.2%	81.2%	85.5%	93.9%	91.9%	96%
53	84.1%	82.1%	86.1%	94.5%	92.8%	96.4%
52	84.8%	83%	86.8%	95.1%	93.5%	96.7%
51	85.5%	83.8%	87.3%	95.6%	94.2%	97%
50	86.2%	84.6%	87.9%	96%	94.8%	97.3%
49	86.8%	85.3%	88.4%	96.4%	95.3%	97.6%
48	87.4%	85.9%	88.9%	96.8%	95.8%	97.8%
47	87.9%	86.5%	89.3%	97.1%	96.2%	98%
46	88.4%	87%	89.7%	97.3%	96.5%	98.1%
45	88.8%	87.5%	90.1%	97.5%	96.8%	98.3%
44	89.2%	88%	90.5%	97.7%	97.1%	98.4%
43	89.6%	88.4%	90.8%	97.9%	97.3%	98.5%
42	90%	88.8%	91.1%	98%	97.5%	98.6%
41	90.3%	89.2%	91.4%	98.2%	97.7%	98.7%
40	90.6%	89.5%	91.7%	98.3%	97.8%	98.8%
39	90.9%	89.8%	92%	98.4%	98%	98.9%
38	91.2%	90.1%	92.2%	98.5%	98.1%	99%
37	91.4%	90.4%	92.4%	98.6%	98.2%	99%
36	91.6%	90.7%	92.7%	98.7%	98.3%	99.1%
35	91.9%	90.9%	92.9%	98.8%	98.4%	99.1%
34	92.1%	91.1%	93.1%	98.8%	98.5%	99.2%
33	92.3%	91.4%	93.2%	98.9%	98.6%	99.2%
32	92.5%	91.6%	93.4%	99%	98.7%	99.3%
31	92.7%	91.8%	93.6%	99%	98.8%	99.3%
30	92.8%	92%	93.7%	99.1%	98.8%	99.3%
29	93%	92.2%	93.9%	99.1%	98.9%	99.4%
28	93.2%	92.4%	94%	99.2%	99%	99.4%
27	93.4%	92.6%	94.2%	99.2%	99%	99.4%
26	93.5%	92.8%	94.3%	99.3%	99.1%	99.4%
25	93.7%	93%	94.4%	99.3%	99.1%	99.4%
24	93.8%	93.2%	94.5%	99.3%	99.2%	99.5%
23	94%	93.4%	94.7%	99.4%	99.2%	99.5%
22	94.2%	93.6%	94.8%	99.4%	99.3%	99.5%
21	94.3%	93.8%	94.9%	99.4%	99.3%	99.5%
20	94.5%	94%	95%	99.5%	99.4%	99.5%
19	94.6%	94.2%	95.1%	99.5%	99.4%	99.6%
18	94.8%	94.3%	95.2%	99.5%	99.5%	99.6%
17	94.9%	94.5%	95.3%	99.5%	99.5%	99.6%
16	95%	94.6%	95.4%	99.6%	99.5%	99.6%
15	95.1%	94.7%	95.5%	99.6%	99.5%	99.6%
14	95.2%	94.8%	95.6%	99.6%	99.6%	99.6%
13	95.3%	94.9%	95.6%	99.6%	99.6%	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%	99.7%
9	95.5%	95.1%	95.8%	99.6%	99.6%	99.7%
8	95.6%	95.2%	95.9%	99.6%	99.6%	99.7%
7	95.6%	95.3%	96%	99.7%	99.6%	99.7%
6	95.7%	95.4%	96%	99.7%	99.6%	99.7%
5	95.8%	95.5%	96.1%	99.7%	99.6%	99.7%
4	96%	95.7%	96.3%	99.7%	99.7%	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 88.6% in Hungary are expected to live past 60, 57.9% and 74.2% past 70, 27.7% and 51.3% past 80, and only 4.48% and 17.7% 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

Hungary

Male

Female

1x

Age	Probability of dying
	Comoros			Hungary
	Average	Male	Female	Average	Male	Female
100	41.5%	42.9%	40.8%	36.8%	37.4%	36.6%
99	39.7%	41.1%	38.9%	34.6%	35.3%	34.4%
98	38%	39.5%	37.2%	32.3%	33.2%	32.1%
97	36.2%	37.8%	35.4%	30.2%	31.2%	29.9%
96	34.4%	36.1%	33.5%	28%	29.2%	27.6%
95	32.6%	34.3%	31.6%	25.8%	26.9%	25.4%
94	30.7%	32.5%	29.8%	24%	25.4%	23.5%
93	29%	30.8%	28%	22.2%	24.1%	21.6%
92	27.3%	29.1%	26.2%	20.3%	22.1%	19.7%
91	25.7%	27.5%	24.6%	18.4%	20%	17.8%
90	24.2%	25.9%	23%	16.7%	18.3%	16.1%
89	22.7%	24.4%	21.5%	15%	16.7%	14.4%
88	21.2%	22.9%	20.1%	13.6%	15.3%	12.9%
87	19.8%	21.4%	18.6%	12.4%	14%	11.8%
86	18.4%	19.9%	17.3%	11.3%	12.8%	10.6%
85	17%	18.5%	15.9%	10.2%	11.8%	9.49%
84	15.7%	17.1%	14.6%	9.27%	10.9%	8.51%
83	14.4%	15.8%	13.4%	8.38%	9.98%	7.59%
82	13.3%	14.5%	12.3%	7.51%	9.13%	6.67%
81	12.2%	13.4%	11.2%	6.77%	8.41%	5.89%
80	11.2%	12.4%	10.2%	6.09%	7.68%	5.2%
79	10.3%	11.5%	9.34%	5.4%	6.91%	4.53%
78	9.43%	10.6%	8.51%	4.84%	6.33%	3.95%
77	8.64%	9.77%	7.73%	4.38%	5.85%	3.48%
76	7.9%	8.99%	7.01%	3.94%	5.31%	3.09%
75	7.21%	8.26%	6.35%	3.55%	4.81%	2.75%
74	6.56%	7.57%	5.72%	3.24%	4.45%	2.45%
73	5.96%	6.94%	5.15%	2.99%	4.15%	2.21%
72	5.41%	6.35%	4.63%	2.77%	3.88%	2.01%
71	4.91%	5.81%	4.15%	2.58%	3.63%	1.82%
70	4.46%	5.32%	3.72%	2.4%	3.4%	1.67%
69	4.06%	4.88%	3.34%	2.25%	3.19%	1.56%
68	3.69%	4.47%	3%	2.14%	3.02%	1.47%
67	3.37%	4.1%	2.71%	2.02%	2.87%	1.37%
66	3.08%	3.76%	2.45%	1.88%	2.71%	1.23%
65	2.82%	3.45%	2.22%	1.81%	2.63%	1.14%
64	2.58%	3.16%	2.02%	1.75%	2.53%	1.09%
63	2.36%	2.89%	1.84%	1.61%	2.29%	1.02%
62	2.15%	2.64%	1.67%	1.47%	2.05%	0.94%
61	1.97%	2.41%	1.52%	1.38%	1.94%	0.87%
60	1.8%	2.2%	1.39%	1.28%	1.8%	0.8%
59	1.64%	2.01%	1.26%	1.18%	1.65%	0.74%
58	1.5%	1.83%	1.16%	1.1%	1.54%	0.68%
57	1.38%	1.67%	1.06%	1.01%	1.42%	0.62%
56	1.26%	1.52%	0.98%	0.92%	1.28%	0.56%
55	1.16%	1.39%	0.91%	0.83%	1.14%	0.51%
54	1.07%	1.27%	0.84%	0.74%	1.02%	0.47%
53	0.98%	1.16%	0.78%	0.66%	0.91%	0.42%
52	0.9%	1.07%	0.72%	0.59%	0.81%	0.36%
51	0.83%	0.97%	0.67%	0.52%	0.72%	0.32%
50	0.76%	0.89%	0.62%	0.47%	0.64%	0.3%
49	0.7%	0.81%	0.58%	0.41%	0.56%	0.26%
48	0.64%	0.74%	0.54%	0.35%	0.48%	0.22%
47	0.59%	0.68%	0.5%	0.31%	0.41%	0.2%
46	0.54%	0.62%	0.46%	0.27%	0.35%	0.18%
45	0.5%	0.57%	0.43%	0.23%	0.3%	0.15%
44	0.46%	0.52%	0.4%	0.19%	0.26%	0.13%
43	0.43%	0.48%	0.37%	0.17%	0.22%	0.12%
42	0.39%	0.44%	0.35%	0.16%	0.2%	0.11%
41	0.37%	0.41%	0.32%	0.14%	0.18%	0.09%
40	0.34%	0.38%	0.3%	0.12%	0.16%	0.08%
39	0.32%	0.35%	0.28%	0.11%	0.14%	0.08%
38	0.3%	0.33%	0.27%	0.1%	0.13%	0.07%
37	0.28%	0.31%	0.25%	0.09%	0.12%	0.06%
36	0.26%	0.29%	0.23%	0.09%	0.12%	0.06%
35	0.25%	0.27%	0.22%	0.08%	0.11%	0.06%
34	0.23%	0.26%	0.21%	0.07%	0.1%	0.05%
33	0.22%	0.25%	0.19%	0.07%	0.09%	0.04%
32	0.21%	0.24%	0.18%	0.07%	0.09%	0.04%
31	0.2%	0.23%	0.18%	0.06%	0.08%	0.04%
30	0.19%	0.22%	0.17%	0.05%	0.07%	0.03%
29	0.19%	0.21%	0.16%	0.05%	0.07%	0.03%
28	0.18%	0.21%	0.15%	0.05%	0.07%	0.03%
27	0.18%	0.21%	0.15%	0.04%	0.06%	0.02%
26	0.18%	0.21%	0.14%	0.04%	0.06%	0.02%
25	0.17%	0.21%	0.13%	0.04%	0.05%	0.02%
24	0.17%	0.21%	0.13%	0.04%	0.05%	0.02%
23	0.17%	0.22%	0.13%	0.03%	0.05%	0.02%
22	0.17%	0.22%	0.12%	0.03%	0.04%	0.02%
21	0.17%	0.22%	0.12%	0.03%	0.04%	0.02%
20	0.17%	0.21%	0.12%	0.03%	0.05%	0.02%
19	0.16%	0.2%	0.12%	0.03%	0.05%	0.02%
18	0.15%	0.18%	0.11%	0.03%	0.04%	0.02%
17	0.13%	0.16%	0.1%	0.02%	0.03%	0.01%
16	0.11%	0.13%	0.09%	0.02%	0.02%	0.01%
15	0.1%	0.11%	0.08%	0.01%	0.02%	0.01%
14	0.08%	0.09%	0.07%	0.01%	0.02%	0.01%
13	0.07%	0.08%	0.06%	0.01%	0.01%	0.008%
12	0.06%	0.07%	0.06%	0.009%	0.01%	0.006%
11	0.06%	0.07%	0.06%	0.007%	0.008%	0.005%
10	0.06%	0.06%	0.05%	0.008%	0.009%	0.008%
9	0.06%	0.07%	0.06%	0.01%	0.01%	0.009%
8	0.07%	0.07%	0.06%	0.008%	0.01%	0.006%
7	0.08%	0.09%	0.07%	0.007%	0.007%	0.007%
6	0.09%	0.1%	0.09%	0.007%	0.006%	0.008%
5	0.12%	0.12%	0.11%	0.008%	0.009%	0.007%
4	0.14%	0.15%	0.14%	0.01%	0.01%	0.008%
3	0.18%	0.19%	0.18%	0.01%	0.01%	0.01%
2	0.24%	0.24%	0.23%	0.02%	0.02%	0.01%
1	0.31%	0.31%	0.31%	0.02%	0.02%	0.03%
0	3.33%	3.62%	3.03%	0.27%	0.29%	0.25%

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

The annual chance of dying is 3.33% in the birth year in Comoros and 0.27% in Hungary, 0.19% vs 0.05% at age 30, 1.8% vs 1.28% at 60, and 11.2% vs 6.09% at 80.

Death rate by age in Comoros vs Hungary

Chart Table

Comoros

Male

Female

Hungary

Male

Female

1x

Age	Death rate
	Comoros			Hungary
	Total	Male	Female	Total	Male	Female
100	0	0	0	217.8	97.2	320
99	62.7	34.9	96.2	495	277.8	683
98	96.7	55.5	146.3	684	391	938
97	144.4	85.4	215.2	915	535	1,245
96	209.1	127.4	307	1,180	706	1,592
95	293.5	184.3	423	1,464	892	1,963
94	400	259	567	1,787	1,128	2,368
93	532	354	740	2,133	1,406	2,782
92	689	472	940	2,445	1,662	3,153
91	873	614	1,168	2,712	1,880	3,470
90	1,082	782	1,420	2,952	2,096	3,745
89	1,313	974	1,692	3,133	2,304	3,918
88	1,560	1,186	1,973	3,276	2,490	4,033
87	1,814	1,411	2,255	3,416	2,642	4,164
86	2,065	1,641	2,523	3,500	2,779	4,202
85	2,304	1,867	2,768	3,529	2,901	4,148
84	2,519	2,081	2,981	3,532	2,998	4,063
83	2,707	2,279	3,156	3,485	3,058	3,921
82	2,867	2,460	3,292	3,376	3,081	3,693
81	2,998	2,623	3,389	3,263	3,096	3,467
80	3,101	2,766	3,447	3,126	3,064	3,230
79	3,175	2,888	3,468	2,932	2,961	2,946
78	3,219	2,983	3,452	2,759	2,895	2,678
77	3,229	3,050	3,401	2,610	2,840	2,442
76	3,205	3,085	3,317	2,449	2,724	2,235
75	3,150	3,090	3,204	2,284	2,592	2,044
74	3,068	3,065	3,066	2,153	2,511	1,867
73	2,964	3,017	2,909	2,051	2,442	1,723
72	2,845	2,949	2,740	1,957	2,374	1,599
71	2,716	2,866	2,563	1,865	2,307	1,479
70	2,582	2,773	2,387	1,778	2,237	1,375
69	2,446	2,670	2,216	1,711	2,168	1,304
68	2,314	2,562	2,055	1,663	2,118	1,253
67	2,185	2,450	1,905	1,602	2,067	1,180
66	2,060	2,335	1,767	1,520	2,006	1,070
65	1,939	2,217	1,640	1,490	2,000	1,009
64	1,820	2,097	1,521	1,462	1,972	974
63	1,704	1,976	1,409	1,369	1,830	921
62	1,591	1,856	1,304	1,264	1,677	857
61	1,483	1,736	1,205	1,206	1,614	799
60	1,379	1,620	1,112	1,134	1,524	742
59	1,281	1,507	1,027	1,056	1,420	688
58	1,190	1,400	951	995	1,348	637
57	1,106	1,299	882	925	1,258	584
56	1,027	1,204	821	847	1,151	532
55	955	1,116	767	769	1,041	488
54	887	1,034	718	697	938	447
53	824	956	672	628	845	402
52	765	884	629	560	760	352
51	709	816	588	500	680	313
50	656	753	549	450	603	288.7
49	606	694	511	394	532	251
48	560	639	476	341	464	212.8
47	518	587	443	297.3	398	192.6
46	479	541	413	258.4	339	175.1
45	443	498	385	219.6	290.2	146.8
44	411	459	359	189.8	249.5	127.5
43	382	424	336	168.8	218.7	116.5
42	355	393	315	153.4	198.8	106
41	331	365	295.6	136.8	179	92.1
40	310	340	277.8	116.2	153	76.9
39	289.9	318	261.2	107	136.8	75
38	271.8	298.1	245.5	101.8	128.2	73.1
37	255.2	280.1	230.7	91.6	120.6	60.1
36	239.9	263.9	216.8	86.7	114	57.2
35	226	249.4	203.8	82.6	106.1	57.3
34	213.6	236.6	191.9	72.8	95	48.8
33	202.7	225.4	181.3	65.3	87.5	41.3
32	193.3	216	172	64.7	85.9	42
31	185.4	208.2	163.8	56.5	76.5	35
30	178.9	202.2	156.6	48.8	68.4	27.8
29	173.7	197.9	149.9	50.4	70.4	28.8
28	169.5	195.4	143.7	47.4	67.4	25.9
27	166.3	194.4	137.7	41.7	60.7	21.6
26	164	195	132.1	39.3	56	21.3
25	162.7	196.8	127	38.3	53.9	21.5
24	162.1	199.4	122.8	36.4	52.5	19.2
23	162.1	202.2	119.7	34.2	48.2	19.4
22	162	204	117.4	32.9	44.1	21.1
21	161	203.6	115.7	33	43.7	21.5
20	157.5	198.8	113.6	33.7	46.4	20.3
19	150.4	188.3	110.2	33.6	48.1	18.3
18	139.2	171.8	104.6	29.2	40.9	17
17	124.3	150.5	96.7	22.5	29.9	14.7
16	107.8	127.6	87.1	16.7	22.3	10.9
15	91.8	106	77.1	13.8	17.7	9.68
14	78.2	88.2	67.9	12.4	15.1	9.53
13	67.9	75	60.5	10.8	13.6	7.82
12	61	66.5	55.4	8.56	11.3	5.71
11	57.5	62.1	52.7	6.7	8.01	5.31
10	57	61.4	52.4	8.44	9.09	7.74
9	59.5	64.3	54.7	10.1	11.3	8.86
8	65.4	70.7	59.9	8.36	10.3	6.34
7	75.1	81.2	68.8	7.08	7.1	7.06
6	89.6	96.6	82.4	7.12	5.85	8.46
5	110.2	117.9	102.3	8.09	9.06	7.07
4	138.8	146.7	130.7	9.76	11.8	7.54
3	177.9	185.1	170.4	12.1	12.3	11.9
2	230.3	235.4	225.1	16.1	20.1	12
1	300	301	299.3	24.7	23.2	26.3
0	3,328	3,618	3,032	271.5	290.3	251.6

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

Life expectancy in other countries

+ -

1x