Life Expectancy in Angola vs Comoros (1950-2026)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in Angola vs Comoros: 71.4 years vs 72 at 30, 78.5 vs 78.2 at 65, 86 vs 85.7 at 80 — significantly higher than the 65.2 vs 67.5 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Angola and Comoros.

Table

Current age, years	Total life expectancy, years
	Angola			Comoros
	Average	Male	Female	Average	Male	Female
0	65.2	62.6	67.7	67.5	65.4	69.7
1	68.3	66	70.6	69.8	67.9	71.9
2	68.7	66.4	71	70	68.1	72.1
3	69	66.7	71.3	70.2	68.2	72.2
4	69.2	66.9	71.5	70.3	68.4	72.4
5	69.3	67	71.6	70.4	68.5	72.5
6	69.4	67.1	71.7	70.5	68.5	72.5
7	69.5	67.2	71.8	70.5	68.6	72.6
8	69.6	67.3	71.9	70.6	68.7	72.6
9	69.7	67.4	71.9	70.6	68.7	72.7
10	69.7	67.4	72	70.7	68.7	72.7
11	69.8	67.5	72	70.7	68.8	72.7
12	69.8	67.5	72.1	70.7	68.8	72.8
13	69.9	67.6	72.1	70.8	68.9	72.8
14	69.9	67.6	72.2	70.8	68.9	72.9
15	70	67.7	72.2	70.9	69	72.9
16	70	67.8	72.3	70.9	69	72.9
17	70.1	67.8	72.3	71	69.1	73
18	70.2	67.9	72.4	71	69.2	73
19	70.3	68	72.5	71.1	69.3	73.1
20	70.4	68.1	72.5	71.2	69.4	73.2
21	70.4	68.2	72.6	71.3	69.5	73.2
22	70.5	68.4	72.7	71.4	69.6	73.3
23	70.6	68.5	72.8	71.4	69.7	73.4
24	70.7	68.6	72.8	71.5	69.8	73.4
25	70.8	68.7	72.9	71.6	69.9	73.5
26	70.9	68.8	73	71.7	70	73.5
27	71.1	69	73.1	71.8	70.1	73.6
28	71.2	69.1	73.2	71.9	70.1	73.7
29	71.3	69.2	73.2	71.9	70.2	73.8
30	71.4	69.3	73.3	72	70.3	73.8
31	71.5	69.5	73.4	72.1	70.4	73.9
32	71.6	69.6	73.5	72.2	70.5	74
33	71.7	69.7	73.6	72.3	70.6	74
34	71.8	69.9	73.7	72.3	70.7	74.1
35	71.9	70	73.8	72.4	70.8	74.2
36	72.1	70.2	73.9	72.5	70.9	74.3
37	72.2	70.3	74	72.6	71	74.4
38	72.3	70.5	74.1	72.7	71.1	74.5
39	72.5	70.6	74.2	72.8	71.2	74.6
40	72.6	70.8	74.4	72.9	71.3	74.7
41	72.8	71	74.5	73	71.4	74.8
42	72.9	71.1	74.6	73.1	71.5	74.9
43	73.1	71.3	74.8	73.3	71.7	75
44	73.2	71.5	74.9	73.4	71.8	75.1
45	73.4	71.7	75	73.5	71.9	75.2
46	73.6	71.9	75.2	73.7	72.1	75.4
47	73.8	72.1	75.3	73.8	72.3	75.5
48	73.9	72.3	75.5	74	72.4	75.6
49	74.1	72.5	75.6	74.1	72.6	75.8
50	74.3	72.8	75.8	74.3	72.8	75.9
51	74.6	73	76	74.5	73	76.1
52	74.8	73.3	76.2	74.7	73.2	76.3
53	75	73.5	76.4	74.9	73.4	76.4
54	75.2	73.8	76.6	75.1	73.7	76.6
55	75.5	74.1	76.8	75.3	73.9	76.8
56	75.7	74.4	77	75.6	74.2	77
57	76	74.7	77.2	75.8	74.4	77.2
58	76.3	75	77.4	76.1	74.7	77.4
59	76.6	75.3	77.7	76.3	75	77.6
60	76.8	75.7	77.9	76.6	75.4	77.9
61	77.2	76	78.2	76.9	75.7	78.1
62	77.5	76.4	78.4	77.2	76	78.4
63	77.8	76.7	78.7	77.5	76.4	78.6
64	78.2	77.1	79	77.9	76.8	78.9
65	78.5	77.5	79.4	78.2	77.2	79.2
66	78.9	78	79.7	78.6	77.6	79.5
67	79.3	78.4	80	79	78	79.9
68	79.7	78.8	80.4	79.4	78.5	80.2
69	80.1	79.3	80.8	79.8	79	80.6
70	80.6	79.8	81.2	80.2	79.4	80.9
71	81	80.3	81.6	80.7	79.9	81.3
72	81.5	80.8	82	81.2	80.5	81.8
73	82	81.3	82.5	81.6	81	82.2
74	82.5	81.9	83	82.2	81.6	82.7
75	83	82.5	83.5	82.7	82.1	83.2
76	83.6	83	84	83.3	82.7	83.7
77	84.2	83.7	84.5	83.8	83.4	84.3
78	84.8	84.3	85.1	84.4	84	84.8
79	85.4	84.9	85.7	85.1	84.7	85.4
80	86	85.6	86.3	85.7	85.3	86
81	86.7	86.3	86.9	86.4	86	86.6
82	87.3	86.9	87.6	87	86.7	87.3
83	88	87.6	88.2	87.7	87.4	88
84	88.7	88.4	88.9	88.4	88.1	88.7
85	89.4	89.1	89.6	89.2	88.9	89.4
86	90.2	89.9	90.3	89.9	89.7	90.1
87	90.9	90.7	91.1	90.7	90.5	90.9
88	91.7	91.5	91.8	91.5	91.3	91.6
89	92.5	92.3	92.6	92.3	92.1	92.4
90	93.3	93.1	93.4	93.1	92.9	93.2
91	94.1	93.9	94.2	93.9	93.7	94
92	94.9	94.8	95	94.8	94.6	94.8
93	95.8	95.6	95.8	95.6	95.5	95.7
94	96.6	96.5	96.7	96.5	96.3	96.5
95	97.5	97.4	97.5	97.3	97.2	97.4
96	98.4	98.2	98.4	98.2	98.1	98.3
97	99.2	99.1	99.3	99.1	99	99.1
98	100.1	100	100.2	100	99.9	100
99	101	100.9	101.1	100.9	100.8	101
100	101.9	101.8	102	101.8	101.7	101.9

Odds of living to age in Angola vs Comoros

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 72.4% in Angola and 76.8% in Comoros are expected to survive till at least 60 years old, 54.6% and 57.9% will live to 70 years or older, 27.1% and 27.7% to 80+ years, and 5% and 4.48% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

Age	Survival probability
	Angola			Comoros
	Average	Male	Female	Average	Male	Female
1	95.4%	94.9%	95.9%	96.7%	96.4%	97%
2	94.8%	94.3%	95.3%	96.4%	96.1%	96.7%
3	94.4%	93.8%	94.9%	96.1%	95.8%	96.4%
4	94.1%	93.6%	94.7%	96%	95.7%	96.3%
5	93.9%	93.3%	94.5%	95.8%	95.5%	96.1%
6	93.8%	93.2%	94.4%	95.7%	95.4%	96%
7	93.7%	93.1%	94.3%	95.6%	95.3%	96%
8	93.5%	92.9%	94.2%	95.6%	95.2%	95.9%
9	93.4%	92.8%	94.1%	95.5%	95.1%	95.8%
10	93.4%	92.7%	94%	95.4%	95.1%	95.8%
11	93.3%	92.6%	93.9%	95.4%	95%	95.7%
12	93.2%	92.6%	93.9%	95.3%	95%	95.7%
13	93.1%	92.5%	93.8%	95.3%	94.9%	95.6%
14	93%	92.4%	93.7%	95.2%	94.8%	95.6%
15	92.9%	92.3%	93.6%	95.1%	94.7%	95.5%
16	92.8%	92.1%	93.5%	95%	94.6%	95.4%
17	92.7%	92%	93.4%	94.9%	94.5%	95.3%
18	92.6%	91.8%	93.3%	94.8%	94.3%	95.2%
19	92.4%	91.7%	93.2%	94.6%	94.2%	95.1%
20	92.3%	91.5%	93.1%	94.5%	94%	95%
21	92.1%	91.3%	92.9%	94.3%	93.8%	94.9%
22	91.9%	91%	92.8%	94.2%	93.6%	94.8%
23	91.7%	90.8%	92.7%	94%	93.4%	94.7%
24	91.5%	90.5%	92.5%	93.8%	93.2%	94.5%
25	91.3%	90.3%	92.4%	93.7%	93%	94.4%
26	91.1%	90%	92.2%	93.5%	92.8%	94.3%
27	90.9%	89.8%	92%	93.4%	92.6%	94.2%
28	90.7%	89.5%	91.9%	93.2%	92.4%	94%
29	90.5%	89.2%	91.7%	93%	92.2%	93.9%
30	90.2%	89%	91.5%	92.8%	92%	93.7%
31	90%	88.7%	91.3%	92.7%	91.8%	93.6%
32	89.7%	88.4%	91.1%	92.5%	91.6%	93.4%
33	89.5%	88%	90.9%	92.3%	91.4%	93.2%
34	89.2%	87.7%	90.7%	92.1%	91.1%	93.1%
35	88.9%	87.4%	90.5%	91.9%	90.9%	92.9%
36	88.6%	87%	90.2%	91.6%	90.7%	92.7%
37	88.3%	86.6%	90%	91.4%	90.4%	92.4%
38	87.9%	86.2%	89.7%	91.2%	90.1%	92.2%
39	87.6%	85.8%	89.4%	90.9%	89.8%	92%
40	87.2%	85.3%	89.1%	90.6%	89.5%	91.7%
41	86.8%	84.9%	88.8%	90.3%	89.2%	91.4%
42	86.4%	84.4%	88.4%	90%	88.8%	91.1%
43	85.9%	83.8%	88.1%	89.6%	88.4%	90.8%
44	85.5%	83.3%	87.7%	89.2%	88%	90.5%
45	85%	82.7%	87.3%	88.8%	87.5%	90.1%
46	84.4%	82%	86.9%	88.4%	87%	89.7%
47	83.9%	81.4%	86.4%	87.9%	86.5%	89.3%
48	83.3%	80.7%	85.9%	87.4%	85.9%	88.9%
49	82.7%	79.9%	85.4%	86.8%	85.3%	88.4%
50	82%	79.1%	84.9%	86.2%	84.6%	87.9%
51	81.3%	78.2%	84.3%	85.5%	83.8%	87.3%
52	80.5%	77.3%	83.7%	84.8%	83%	86.8%
53	79.7%	76.4%	83%	84.1%	82.1%	86.1%
54	78.8%	75.3%	82.3%	83.2%	81.2%	85.5%
55	77.9%	74.2%	81.5%	82.4%	80.1%	84.7%
56	76.9%	73.1%	80.7%	81.4%	79%	84%
57	75.9%	71.9%	79.9%	80.4%	77.8%	83.1%
58	74.8%	70.6%	78.9%	79.3%	76.5%	82.3%
59	73.6%	69.3%	78%	78.1%	75.1%	81.3%
60	72.4%	67.8%	76.9%	76.8%	73.6%	80.3%
61	71.1%	66.3%	75.8%	75.4%	72%	79.2%
62	69.6%	64.7%	74.5%	73.9%	70.2%	78%
63	68.1%	63%	73.2%	72.3%	68.4%	76.7%
64	66.5%	61.2%	71.8%	70.6%	66.4%	75.3%
65	64.8%	59.3%	70.2%	68.8%	64.3%	73.7%
66	62.9%	57.3%	68.6%	66.9%	62.1%	72.1%
67	61%	55.2%	66.8%	64.8%	59.8%	70.3%
68	59%	53%	64.9%	62.6%	57.3%	68.4%
69	56.8%	50.7%	62.9%	60.3%	54.7%	66.4%
70	54.6%	48.4%	60.8%	57.9%	52.1%	64.2%
71	52.2%	45.9%	58.5%	55.3%	49.3%	61.8%
72	49.7%	43.4%	56%	52.6%	46.4%	59.2%
73	47.1%	40.7%	53.5%	49.7%	43.5%	56.5%
74	44.4%	38.1%	50.7%	46.8%	40.5%	53.6%
75	41.6%	35.3%	47.9%	43.7%	37.4%	50.5%
76	38.7%	32.6%	44.9%	40.6%	34.3%	47.3%
77	35.8%	29.8%	41.9%	37.3%	31.2%	44%
78	32.9%	27.1%	38.8%	34.1%	28.2%	40.6%
79	30%	24.4%	35.7%	30.9%	25.2%	37.1%
80	27.1%	21.7%	32.5%	27.7%	22.3%	33.7%
81	24.2%	19.2%	29.3%	24.6%	19.5%	30.2%
82	21.5%	16.7%	26.3%	21.6%	16.9%	26.8%
83	18.8%	14.4%	23.2%	18.8%	14.5%	23.5%
84	16.3%	12.3%	20.3%	16.1%	12.2%	20.4%
85	13.9%	10.3%	17.5%	13.5%	10.1%	17.4%
86	11.7%	8.5%	14.9%	11.2%	8.23%	14.6%
87	9.67%	6.91%	12.4%	9.16%	6.59%	12.1%
88	7.89%	5.53%	10.3%	7.35%	5.18%	9.84%
89	6.34%	4.34%	8.32%	5.79%	3.99%	7.87%
90	5%	3.35%	6.64%	4.48%	3.02%	6.18%
91	3.87%	2.54%	5.19%	3.4%	2.24%	4.75%
92	2.94%	1.88%	4%	2.52%	1.62%	3.59%
93	2.19%	1.37%	3.01%	1.83%	1.15%	2.65%
94	1.59%	0.97%	2.21%	1.3%	0.8%	1.91%
95	1.13%	0.67%	1.59%	0.9%	0.54%	1.34%
96	0.78%	0.46%	1.12%	0.61%	0.35%	0.92%
97	0.53%	0.3%	0.76%	0.4%	0.23%	0.61%
98	0.35%	0.19%	0.51%	0.25%	0.14%	0.39%
99	0.23%	0.12%	0.33%	0.16%	0.08%	0.25%
100	0.14%	0.07%	0.21%	0.1%	0.05%	0.15%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 4.59% in the birth year in Angola and 3.33% in Comoros, 0.27% vs 0.19% at age 30, 1.86% vs 1.8% at 60, and 10.6% vs 11.2% at 80.

Below is a graph displaying the probabilities of dying in Angola compared to Comoros at any given age.

Table

Age	Probability of dying
	Angola			Comoros
	Average	Male	Female	Average	Male	Female
0	4.59%	5.08%	4.08%	3.33%	3.62%	3.03%
1	0.67%	0.7%	0.63%	0.31%	0.31%	0.31%
2	0.41%	0.44%	0.38%	0.24%	0.24%	0.23%
3	0.29%	0.31%	0.26%	0.18%	0.19%	0.18%
4	0.21%	0.22%	0.19%	0.14%	0.15%	0.14%
5	0.16%	0.17%	0.15%	0.12%	0.12%	0.11%
6	0.13%	0.14%	0.12%	0.09%	0.1%	0.09%
7	0.11%	0.13%	0.1%	0.08%	0.09%	0.07%
8	0.1%	0.11%	0.09%	0.07%	0.07%	0.06%
9	0.09%	0.1%	0.08%	0.06%	0.07%	0.06%
10	0.09%	0.1%	0.08%	0.06%	0.06%	0.05%
11	0.09%	0.1%	0.08%	0.06%	0.07%	0.06%
12	0.09%	0.1%	0.08%	0.06%	0.07%	0.06%
13	0.09%	0.1%	0.08%	0.07%	0.08%	0.06%
14	0.1%	0.11%	0.09%	0.08%	0.09%	0.07%
15	0.11%	0.13%	0.1%	0.1%	0.11%	0.08%
16	0.13%	0.15%	0.11%	0.11%	0.13%	0.09%
17	0.15%	0.17%	0.12%	0.13%	0.16%	0.1%
18	0.16%	0.2%	0.13%	0.15%	0.18%	0.11%
19	0.18%	0.22%	0.13%	0.16%	0.2%	0.12%
20	0.19%	0.23%	0.14%	0.17%	0.21%	0.12%
21	0.2%	0.25%	0.15%	0.17%	0.22%	0.12%
22	0.21%	0.26%	0.15%	0.17%	0.22%	0.12%
23	0.21%	0.27%	0.16%	0.17%	0.22%	0.13%
24	0.22%	0.28%	0.16%	0.17%	0.21%	0.13%
25	0.23%	0.28%	0.17%	0.17%	0.21%	0.13%
26	0.23%	0.29%	0.18%	0.18%	0.21%	0.14%
27	0.24%	0.3%	0.18%	0.18%	0.21%	0.15%
28	0.25%	0.31%	0.19%	0.18%	0.21%	0.15%
29	0.26%	0.32%	0.2%	0.19%	0.21%	0.16%
30	0.27%	0.33%	0.21%	0.19%	0.22%	0.17%
31	0.28%	0.34%	0.22%	0.2%	0.23%	0.18%
32	0.29%	0.36%	0.23%	0.21%	0.24%	0.18%
33	0.31%	0.38%	0.24%	0.22%	0.25%	0.19%
34	0.33%	0.4%	0.26%	0.23%	0.26%	0.21%
35	0.34%	0.42%	0.27%	0.25%	0.27%	0.22%
36	0.36%	0.44%	0.29%	0.26%	0.29%	0.23%
37	0.38%	0.47%	0.3%	0.28%	0.31%	0.25%
38	0.41%	0.5%	0.32%	0.3%	0.33%	0.27%
39	0.43%	0.52%	0.34%	0.32%	0.35%	0.28%
40	0.46%	0.56%	0.37%	0.34%	0.38%	0.3%
41	0.48%	0.59%	0.38%	0.37%	0.41%	0.32%
42	0.52%	0.63%	0.41%	0.39%	0.44%	0.35%
43	0.55%	0.67%	0.43%	0.43%	0.48%	0.37%
44	0.58%	0.71%	0.46%	0.46%	0.52%	0.4%
45	0.62%	0.76%	0.49%	0.5%	0.57%	0.43%
46	0.66%	0.81%	0.52%	0.54%	0.62%	0.46%
47	0.7%	0.87%	0.55%	0.59%	0.68%	0.5%
48	0.76%	0.94%	0.59%	0.64%	0.74%	0.54%
49	0.82%	1.01%	0.64%	0.7%	0.81%	0.58%
50	0.89%	1.09%	0.7%	0.76%	0.89%	0.62%
51	0.94%	1.16%	0.74%	0.83%	0.97%	0.67%
52	1.02%	1.26%	0.8%	0.9%	1.07%	0.72%
53	1.09%	1.34%	0.86%	0.98%	1.16%	0.78%
54	1.17%	1.44%	0.92%	1.07%	1.27%	0.84%
55	1.25%	1.54%	0.99%	1.16%	1.39%	0.91%
56	1.34%	1.65%	1.06%	1.26%	1.52%	0.98%
57	1.43%	1.77%	1.14%	1.38%	1.67%	1.06%
58	1.55%	1.91%	1.24%	1.5%	1.83%	1.16%
59	1.68%	2.07%	1.35%	1.64%	2.01%	1.26%
60	1.86%	2.27%	1.51%	1.8%	2.2%	1.39%
61	1.98%	2.42%	1.61%	1.97%	2.41%	1.52%
62	2.19%	2.66%	1.79%	2.15%	2.64%	1.67%
63	2.38%	2.88%	1.96%	2.36%	2.89%	1.84%
64	2.59%	3.12%	2.14%	2.58%	3.16%	2.02%
65	2.83%	3.38%	2.36%	2.82%	3.45%	2.22%
66	3.05%	3.63%	2.56%	3.08%	3.76%	2.45%
67	3.33%	3.94%	2.81%	3.37%	4.1%	2.71%
68	3.64%	4.29%	3.1%	3.69%	4.47%	3%
69	3.96%	4.65%	3.4%	4.06%	4.88%	3.34%
70	4.41%	5.12%	3.83%	4.46%	5.32%	3.72%
71	4.74%	5.5%	4.13%	4.91%	5.81%	4.15%
72	5.27%	6.06%	4.63%	5.41%	6.35%	4.63%
73	5.74%	6.59%	5.08%	5.96%	6.94%	5.15%
74	6.29%	7.17%	5.6%	6.56%	7.57%	5.72%
75	6.88%	7.81%	6.17%	7.21%	8.26%	6.35%
76	7.49%	8.47%	6.75%	7.9%	8.99%	7.01%
77	8.12%	9.17%	7.35%	8.64%	9.77%	7.73%
78	8.91%	10%	8.13%	9.43%	10.6%	8.51%
79	9.64%	10.8%	8.82%	10.3%	11.5%	9.34%
80	10.6%	11.8%	9.77%	11.2%	12.4%	10.2%
81	11.3%	12.6%	10.4%	12.2%	13.4%	11.2%
82	12.5%	13.8%	11.6%	13.3%	14.5%	12.3%
83	13.5%	14.9%	12.7%	14.4%	15.8%	13.4%
84	14.7%	16.2%	13.9%	15.7%	17.1%	14.6%
85	15.9%	17.4%	15%	17%	18.5%	15.9%
86	17.1%	18.7%	16.3%	18.4%	19.9%	17.3%
87	18.4%	20%	17.5%	19.8%	21.4%	18.6%
88	19.7%	21.4%	18.9%	21.2%	22.9%	20.1%
89	21%	22.8%	20.2%	22.7%	24.4%	21.5%
90	22.7%	24.4%	21.9%	24.2%	25.9%	23%
91	23.9%	25.7%	23%	25.7%	27.5%	24.6%
92	25.6%	27.4%	24.8%	27.3%	29.1%	26.2%
93	27.2%	29%	26.4%	29%	30.8%	28%
94	28.9%	30.7%	28.1%	30.7%	32.5%	29.8%
95	30.7%	32.4%	29.9%	32.6%	34.3%	31.6%
96	32.4%	34%	31.6%	34.4%	36.1%	33.5%
97	34%	35.5%	33.2%	36.2%	37.8%	35.4%
98	35.5%	37%	34.8%	38%	39.5%	37.2%
99	37.4%	38.8%	36.7%	39.7%	41.1%	38.9%
100	38.9%	40.3%	38.3%	41.5%	42.9%	40.8%

Death rate by age in Angola compared to Comoros

In Angola, the most common age of death is 0, compared to 0 in Comoros. The median age of death is 71.9 in Angola and 72.9 in Comoros — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Angola			Comoros
	Total	Male	Female	Total	Male	Female
0	4,586	5,083	4,084	3,328	3,618	3,032
1	636	666	605	300	301	299.3
2	389	412	365	230.3	235.4	225.1
3	269.1	286.3	251.4	177.9	185.1	170.4
4	194.6	206.7	182.1	138.8	146.7	130.7
5	149.6	159.4	139.6	110.2	117.9	102.3
6	124.5	133.9	114.8	89.6	96.6	82.4
7	107.1	116.5	97.5	75.1	81.2	68.8
8	94.4	103.4	85.3	65.4	70.7	59.9
9	86.2	94.8	77.4	59.5	64.3	54.7
10	81.7	89.9	73.4	57	61.4	52.4
11	80.2	88.3	71.9	57.5	62.1	52.7
12	81.8	90.3	73.1	61	66.5	55.4
13	86.5	95.9	76.9	67.9	75	60.5
14	94.7	106.1	83	78.2	88.2	67.9
15	105.9	120.1	91.3	91.8	106	77.1
16	120.4	139.4	101	107.8	127.6	87.1
17	134.8	160.1	109	124.3	150.5	96.7
18	150.2	182.2	117.6	139.2	171.8	104.6
19	162.2	199.3	124.4	150.4	188.3	110.2
20	172.8	214.3	130.6	157.5	198.8	113.6
21	181.7	226.7	135.9	161	203.6	115.7
22	189.5	236.8	141.4	162	204	117.4
23	195.8	244.1	146.8	162.1	202.2	119.7
24	201.5	249.9	152.5	162.1	199.4	122.8
25	206.6	254.8	157.9	162.7	196.8	127
26	212.2	259.9	164	164	195	132.1
27	218.4	266.1	170.2	166.3	194.4	137.7
28	225.7	273.6	177.4	169.5	195.4	143.7
29	233.3	282.1	184.1	173.7	197.9	149.9
30	243.9	293.8	193.5	178.9	202.2	156.6
31	251	302	199.1	185.4	208.2	163.8
32	264.6	318	210.9	193.3	216	172
33	276.7	332	221.1	202.7	225.4	181.3
34	290.2	348	232.3	213.6	236.6	191.9
35	306	367	245.2	226	249.4	203.8
36	322	385	258.5	239.9	263.9	216.8
37	338	404	271.6	255.2	280.1	230.7
38	359	428	289.6	271.8	298.1	245.5
39	378	450	305	289.9	318	261.2
40	403	479	326	310	340	277.8
41	419	499	339	331	365	295.6
42	448	533	364	355	393	315
43	470	559	380	382	424	336
44	496	592	401	411	459	359
45	528	631	426	443	498	385
46	556	664	448	479	541	413
47	591	707	475	518	587	443
48	632	755	510	560	639	476
49	674	805	544	606	694	511
50	728	866	592	656	753	549
51	763	908	620	709	816	588
52	822	974	673	765	884	629
53	867	1,027	712	824	956	672
54	919	1,086	759	887	1,034	718
55	970	1,143	804	955	1,116	767
56	1,028	1,206	858	1,027	1,204	821
57	1,085	1,271	910	1,106	1,299	882
58	1,162	1,352	983	1,190	1,400	951
59	1,237	1,431	1,052	1,281	1,507	1,027
60	1,344	1,537	1,158	1,379	1,620	1,112
61	1,410	1,606	1,219	1,483	1,736	1,205
62	1,526	1,719	1,336	1,591	1,856	1,304
63	1,622	1,811	1,433	1,704	1,976	1,409
64	1,724	1,906	1,539	1,820	2,097	1,521
65	1,833	2,005	1,656	1,939	2,217	1,640
66	1,921	2,081	1,754	2,060	2,335	1,767
67	2,031	2,177	1,877	2,185	2,450	1,905
68	2,149	2,275	2,015	2,314	2,562	2,055
69	2,253	2,360	2,137	2,446	2,670	2,216
70	2,408	2,476	2,329	2,582	2,773	2,387
71	2,472	2,523	2,412	2,716	2,866	2,563
72	2,618	2,630	2,596	2,845	2,949	2,740
73	2,705	2,684	2,716	2,964	3,017	2,909
74	2,791	2,730	2,842	3,068	3,065	3,066
75	2,862	2,759	2,956	3,150	3,090	3,204
76	2,900	2,759	3,031	3,205	3,085	3,317
77	2,911	2,733	3,081	3,229	3,050	3,401
78	2,934	2,710	3,155	3,219	2,983	3,452
79	2,890	2,633	3,148	3,175	2,888	3,468
80	2,867	2,564	3,176	3,101	2,766	3,447
81	2,739	2,420	3,066	2,998	2,623	3,389
82	2,678	2,315	3,051	2,867	2,460	3,292
83	2,543	2,156	2,941	2,707	2,279	3,156
84	2,397	1,990	2,814	2,519	2,081	2,981
85	2,203	1,788	2,626	2,304	1,867	2,768
86	2,001	1,590	2,418	2,065	1,641	2,523
87	1,777	1,382	2,176	1,814	1,411	2,255
88	1,557	1,183	1,934	1,560	1,186	1,973
89	1,333	989	1,678	1,313	974	1,692
90	1,136	818	1,453	1,082	782	1,420
91	923	651	1,194	873	614	1,168
92	754	517	990	689	472	940
93	596	397	793	532	354	740
94	461	298	622	400	259	567
95	348	218.2	477	293.5	184.3	423
96	254	154.8	353	209.1	127.4	307
97	180.3	106.8	253.5	144.4	85.4	215.2
98	124.4	71.6	177.1	96.7	55.5	146.3
99	84.6	47.3	122	62.7	34.9	96.2
100	1.41	0	11	0	0	0

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about Angola and Comoros demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• Angola vs Comoros: Complete comparison

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size