Life Expectancy in Monaco vs South Africa (1950-2026)

Life expectancy by current age

Chart Table

Monaco

Male

Female

South Africa

Male

Female

1x

Current age, years	Total life expectancy, years
	Monaco			South Africa
	Average	Male	Female	Average	Male	Female
100	103.1	102.6	103.3	103.4	103.1	103.5
99	102.3	101.8	102.6	102.5	102.3	102.6
98	101.5	101	101.9	101.7	101.5	101.7
97	100.8	100.2	101.2	100.8	100.7	100.9
96	100.1	99.4	100.5	100	99.9	100
95	99.3	98.7	99.8	99.2	99.1	99.2
94	98.7	97.9	99.2	98.4	98.3	98.4
93	98	97.2	98.5	97.6	97.5	97.7
92	97.3	96.6	97.9	96.9	96.7	96.9
91	96.7	95.9	97.4	96.1	96	96.2
90	96.1	95.3	96.8	95.4	95.2	95.5
89	95.6	94.7	96.3	94.7	94.4	94.8
88	95	94.1	95.8	94	93.7	94.1
87	94.5	93.5	95.4	93.3	92.9	93.4
86	94	93	94.9	92.6	92.2	92.7
85	93.5	92.5	94.5	91.9	91.5	92.1
84	93.1	92	94.1	91.3	90.8	91.5
83	92.6	91.5	93.7	90.6	90.1	90.9
82	92.2	91.1	93.3	90	89.4	90.3
81	91.9	90.7	93	89.4	88.7	89.7
80	91.5	90.3	92.7	88.8	88	89.1
79	91.2	89.9	92.4	88.1	87.4	88.5
78	90.9	89.6	92.2	87.5	86.7	88
77	90.6	89.3	91.9	86.9	86	87.4
76	90.3	89	91.7	86.3	85.3	86.9
75	90.1	88.7	91.5	85.7	84.7	86.4
74	89.9	88.5	91.4	85.2	84	85.9
73	89.7	88.2	91.2	84.6	83.4	85.4
72	89.5	88	91.1	84.1	82.8	84.9
71	89.3	87.8	90.9	83.6	82.2	84.5
70	89.1	87.6	90.8	83.1	81.7	84.1
69	89	87.4	90.7	82.6	81.1	83.6
68	88.8	87.2	90.6	82.1	80.5	83.2
67	88.7	87.1	90.5	81.6	80	82.8
66	88.6	86.9	90.4	81.2	79.4	82.4
65	88.5	86.8	90.3	80.7	78.9	82.1
64	88.4	86.7	90.3	80.3	78.4	81.7
63	88.3	86.6	90.2	79.9	77.9	81.4
62	88.2	86.5	90.1	79.4	77.4	81
61	88.2	86.4	90.1	79	76.9	80.7
60	88.1	86.3	90	78.7	76.5	80.4
59	88	86.2	90	78.3	76	80.1
58	88	86.1	90	77.9	75.6	79.8
57	87.9	86.1	89.9	77.5	75.2	79.5
56	87.9	86	89.9	77.2	74.8	79.2
55	87.8	85.9	89.8	76.9	74.4	78.9
54	87.8	85.9	89.8	76.5	74	78.7
53	87.7	85.8	89.8	76.2	73.6	78.4
52	87.7	85.8	89.7	75.9	73.3	78.2
51	87.6	85.7	89.7	75.6	72.9	77.9
50	87.6	85.7	89.7	75.3	72.6	77.7
49	87.6	85.7	89.7	75	72.2	77.4
48	87.6	85.6	89.6	74.7	71.9	77.2
47	87.5	85.6	89.6	74.4	71.6	77
46	87.5	85.6	89.6	74.2	71.3	76.7
45	87.5	85.6	89.6	73.9	71	76.5
44	87.5	85.5	89.5	73.6	70.7	76.3
43	87.4	85.5	89.5	73.4	70.4	76.1
42	87.4	85.5	89.5	73.1	70.2	75.8
41	87.4	85.5	89.5	72.9	69.9	75.6
40	87.4	85.5	89.5	72.6	69.7	75.4
39	87.4	85.5	89.5	72.4	69.4	75.2
38	87.4	85.4	89.5	72.2	69.2	75
37	87.4	85.4	89.4	72	68.9	74.8
36	87.3	85.4	89.4	71.8	68.7	74.6
35	87.3	85.4	89.4	71.6	68.5	74.5
34	87.3	85.4	89.4	71.4	68.3	74.3
33	87.3	85.4	89.4	71.2	68.1	74.1
32	87.3	85.4	89.4	71	67.9	73.9
31	87.3	85.4	89.4	70.8	67.7	73.8
30	87.3	85.4	89.4	70.6	67.5	73.6
29	87.3	85.3	89.4	70.4	67.3	73.5
28	87.3	85.3	89.4	70.3	67.1	73.3
27	87.3	85.3	89.4	70.1	66.9	73.2
26	87.2	85.3	89.3	70	66.8	73.1
25	87.2	85.3	89.3	69.9	66.6	73
24	87.2	85.3	89.3	69.7	66.5	72.9
23	87.2	85.3	89.3	69.6	66.3	72.8
22	87.2	85.3	89.3	69.5	66.2	72.7
21	87.2	85.3	89.3	69.4	66.1	72.6
20	87.2	85.2	89.3	69.3	66	72.6
19	87.2	85.2	89.3	69.2	65.9	72.5
18	87.2	85.2	89.3	69.2	65.8	72.4
17	87.2	85.2	89.3	69.1	65.7	72.4
16	87.2	85.2	89.3	69	65.7	72.3
15	87.2	85.2	89.3	69	65.6	72.3
14	87.1	85.2	89.3	68.9	65.6	72.3
13	87.1	85.2	89.3	68.9	65.5	72.2
12	87.1	85.2	89.3	68.9	65.5	72.2
11	87.1	85.2	89.3	68.9	65.5	72.2
10	87.1	85.2	89.2	68.8	65.4	72.2
9	87.1	85.2	89.2	68.8	65.4	72.1
8	87.1	85.2	89.2	68.8	65.4	72.1
7	87.1	85.2	89.2	68.8	65.4	72.1
6	87.1	85.2	89.2	68.7	65.3	72.1
5	87.1	85.2	89.2	68.7	65.3	72
4	87.1	85.1	89.2	68.6	65.2	72
3	87.1	85.1	89.2	68.5	65.1	71.9
2	87.1	85.1	89.2	68.4	64.9	71.8
1	87.1	85.1	89.2	68.1	64.7	71.5
0	86.7	84.8	88.8	66.7	63.1	70.2

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 Monaco can expect to live to 87.3 years compared to 70.6 in South Africa, rising to 88.5 and 80.7 at 65, and to 91.5 and 88.8 at 80 — higher than the 86.7 and 66.7 years calculated at birth.

The chart above accounts for remaining lifespan and displays total life expectancy by age and gender in Monaco and South Africa.

Probability of surviving to a given age

Chart Table

Monaco

Male

Female

South Africa

Male

Female

1x

Age	Survival probability
	Monaco			South Africa
	Average	Male	Female	Average	Male	Female
100	8.43%	4.58%	12.9%	1.63%	1%	2.22%
99	10.8%	6.25%	16%	2.11%	1.28%	2.88%
98	13.5%	8.3%	19.4%	2.68%	1.62%	3.67%
97	16.6%	10.7%	23.2%	3.36%	2.02%	4.59%
96	20%	13.6%	27.2%	4.15%	2.5%	5.67%
95	23.7%	16.8%	31.4%	5.06%	3.06%	6.91%
94	27.7%	20.3%	35.7%	6.09%	3.7%	8.3%
93	31.8%	24.1%	40.1%	7.24%	4.43%	9.84%
92	36%	28.2%	44.5%	8.49%	5.25%	11.5%
91	40.2%	32.4%	48.8%	9.86%	6.16%	13.3%
90	44.5%	36.7%	53%	11.3%	7.18%	15.2%
89	48.7%	41%	57.1%	12.9%	8.29%	17.3%
88	52.7%	45.3%	60.9%	14.6%	9.51%	19.4%
87	56.7%	49.5%	64.6%	16.4%	10.8%	21.7%
86	60.5%	53.6%	68%	18.2%	12.2%	24%
85	64.1%	57.5%	71.2%	20.1%	13.7%	26.3%
84	67.5%	61.2%	74.3%	22.1%	15.2%	28.6%
83	70.7%	64.7%	77.1%	24%	16.8%	31%
82	73.6%	68%	79.6%	26%	18.5%	33.4%
81	76.3%	71%	81.9%	28.1%	20.2%	35.8%
80	78.7%	73.8%	83.9%	30.2%	22%	38.2%
79	80.9%	76.3%	85.7%	32.3%	23.9%	40.6%
78	82.8%	78.6%	87.3%	34.6%	25.9%	43%
77	84.6%	80.7%	88.6%	36.8%	28%	45.4%
76	86.1%	82.6%	89.9%	39%	30.1%	47.7%
75	87.6%	84.3%	90.9%	41.2%	32.3%	50%
74	88.8%	85.9%	91.9%	43.4%	34.4%	52.1%
73	90%	87.3%	92.7%	45.5%	36.6%	54.2%
72	91%	88.5%	93.5%	47.5%	38.7%	56.2%
71	91.9%	89.7%	94.1%	49.6%	40.8%	58.2%
70	92.7%	90.7%	94.7%	51.6%	42.9%	60%
69	93.4%	91.7%	95.2%	53.5%	45.1%	61.9%
68	94.1%	92.5%	95.7%	55.5%	47.2%	63.6%
67	94.6%	93.2%	96%	57.3%	49.3%	65.3%
66	95.1%	93.9%	96.4%	59.2%	51.4%	66.8%
65	95.6%	94.4%	96.7%	60.9%	53.4%	68.3%
64	96%	94.9%	96.9%	62.6%	55.4%	69.8%
63	96.3%	95.4%	97.1%	64.2%	57.3%	71.1%
62	96.6%	95.8%	97.3%	65.7%	59.1%	72.4%
61	96.9%	96.2%	97.5%	67.2%	60.9%	73.6%
60	97.1%	96.5%	97.7%	68.7%	62.6%	74.7%
59	97.3%	96.8%	97.8%	70%	64.3%	75.9%
58	97.5%	97.1%	98%	71.4%	65.9%	76.9%
57	97.7%	97.3%	98.1%	72.7%	67.5%	78%
56	97.9%	97.6%	98.2%	73.9%	69%	78.9%
55	98%	97.8%	98.3%	75.1%	70.5%	79.9%
54	98.2%	97.9%	98.4%	76.2%	71.9%	80.7%
53	98.3%	98.1%	98.5%	77.3%	73.2%	81.6%
52	98.4%	98.2%	98.6%	78.4%	74.5%	82.4%
51	98.5%	98.3%	98.7%	79.4%	75.7%	83.1%
50	98.6%	98.4%	98.7%	80.3%	76.9%	83.9%
49	98.7%	98.5%	98.8%	81.2%	78%	84.6%
48	98.7%	98.6%	98.8%	82.1%	79.1%	85.3%
47	98.8%	98.7%	98.9%	83%	80.1%	85.9%
46	98.9%	98.8%	98.9%	83.8%	81.1%	86.6%
45	98.9%	98.8%	99%	84.6%	82%	87.2%
44	99%	98.9%	99%	85.3%	82.9%	87.8%
43	99%	98.9%	99.1%	86%	83.7%	88.4%
42	99%	99%	99.1%	86.7%	84.5%	89%
41	99.1%	99%	99.1%	87.4%	85.3%	89.6%
40	99.1%	99%	99.2%	88.1%	86%	90.1%
39	99.1%	99.1%	99.2%	88.7%	86.7%	90.6%
38	99.1%	99.1%	99.2%	89.2%	87.4%	91.1%
37	99.2%	99.1%	99.2%	89.8%	88.1%	91.6%
36	99.2%	99.1%	99.2%	90.4%	88.7%	92%
35	99.2%	99.2%	99.3%	90.9%	89.3%	92.5%
34	99.2%	99.2%	99.3%	91.4%	89.9%	92.9%
33	99.3%	99.2%	99.3%	91.8%	90.4%	93.3%
32	99.3%	99.2%	99.3%	92.3%	91%	93.6%
31	99.3%	99.2%	99.3%	92.7%	91.5%	94%
30	99.3%	99.3%	99.4%	93.1%	91.9%	94.3%
29	99.3%	99.3%	99.4%	93.5%	92.4%	94.6%
28	99.3%	99.3%	99.4%	93.9%	92.8%	94.9%
27	99.4%	99.3%	99.4%	94.2%	93.2%	95.2%
26	99.4%	99.3%	99.4%	94.5%	93.6%	95.4%
25	99.4%	99.3%	99.4%	94.8%	94%	95.7%
24	99.4%	99.4%	99.4%	95.1%	94.3%	95.9%
23	99.4%	99.4%	99.4%	95.3%	94.6%	96%
22	99.4%	99.4%	99.5%	95.5%	94.9%	96.2%
21	99.4%	99.4%	99.5%	95.7%	95.1%	96.3%
20	99.5%	99.4%	99.5%	95.9%	95.4%	96.5%
19	99.5%	99.4%	99.5%	96.1%	95.6%	96.6%
18	99.5%	99.5%	99.5%	96.2%	95.7%	96.7%
17	99.5%	99.5%	99.5%	96.3%	95.9%	96.8%
16	99.5%	99.5%	99.5%	96.4%	96%	96.9%
15	99.5%	99.5%	99.5%	96.5%	96.1%	97%
14	99.5%	99.5%	99.5%	96.6%	96.2%	97%
13	99.5%	99.5%	99.5%	96.6%	96.2%	97.1%
12	99.5%	99.5%	99.5%	96.7%	96.3%	97.1%
11	99.5%	99.5%	99.5%	96.7%	96.3%	97.1%
10	99.5%	99.5%	99.5%	96.8%	96.4%	97.2%
9	99.5%	99.5%	99.6%	96.8%	96.4%	97.2%
8	99.5%	99.5%	99.6%	96.8%	96.5%	97.2%
7	99.6%	99.5%	99.6%	96.9%	96.5%	97.3%
6	99.6%	99.6%	99.6%	96.9%	96.6%	97.3%
5	99.6%	99.6%	99.6%	97%	96.7%	97.4%
4	99.6%	99.6%	99.6%	97.1%	96.8%	97.4%
3	99.6%	99.6%	99.6%	97.2%	96.9%	97.6%
2	99.6%	99.6%	99.6%	97.5%	97.2%	97.8%
1	99.6%	99.6%	99.6%	97.8%	97.6%	98.1%

This chart shows the odds of living to each age from birth. 97.1% of newborns in Monaco and 68.7% in South Africa are expected to live past 60, 92.7% and 51.6% past 70, 78.7% and 30.2% past 80, and only 44.5% and 11.3% past 90.

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

Odds of dying at each age

Chart Table

Monaco

Male

Female

South Africa

Male

Female

1x

Age	Probability of dying
	Monaco			South Africa
	Average	Male	Female	Average	Male	Female
100	23.4%	28.5%	20.9%	23.6%	22.9%	23.9%
99	21.9%	26.7%	19.5%	22.5%	22%	22.8%
98	20.2%	24.7%	17.8%	21.3%	21%	21.5%
97	18.6%	22.7%	16.2%	20.2%	20%	20.2%
96	17%	20.9%	14.7%	19%	19.1%	19%
95	15.6%	19.1%	13.4%	18%	18.2%	17.9%
94	14.2%	17.4%	12.1%	16.9%	17.3%	16.8%
93	12.9%	15.8%	10.9%	15.9%	16.5%	15.6%
92	11.7%	14.4%	9.85%	14.8%	15.6%	14.5%
91	10.6%	13%	8.83%	13.8%	14.8%	13.5%
90	9.55%	11.7%	7.9%	13%	14.1%	12.6%
89	8.61%	10.5%	7.06%	12.3%	13.5%	11.8%
88	7.77%	9.46%	6.32%	11.5%	12.8%	11.1%
87	6.98%	8.5%	5.66%	10.8%	12.1%	10.3%
86	6.28%	7.62%	5.08%	10.1%	11.4%	9.6%
85	5.63%	6.83%	4.55%	9.43%	10.7%	8.88%
84	5.04%	6.1%	4.07%	8.78%	10%	8.21%
83	4.49%	5.43%	3.62%	8.21%	9.46%	7.62%
82	3.97%	4.82%	3.19%	7.71%	8.97%	7.1%
81	3.49%	4.26%	2.79%	7.3%	8.57%	6.66%
80	3.07%	3.75%	2.42%	6.96%	8.26%	6.28%
79	2.69%	3.31%	2.09%	6.67%	8%	5.94%
78	2.36%	2.91%	1.8%	6.37%	7.73%	5.61%
77	2.07%	2.58%	1.56%	6.06%	7.42%	5.26%
76	1.83%	2.28%	1.35%	5.71%	7.05%	4.89%
75	1.62%	2.03%	1.18%	5.35%	6.64%	4.53%
74	1.43%	1.81%	1.03%	4.98%	6.22%	4.17%
73	1.27%	1.62%	0.91%	4.64%	5.83%	3.85%
72	1.12%	1.44%	0.8%	4.34%	5.49%	3.57%
71	0.99%	1.29%	0.7%	4.09%	5.2%	3.33%
70	0.88%	1.14%	0.61%	3.87%	4.95%	3.12%
69	0.78%	1.01%	0.53%	3.67%	4.72%	2.92%
68	0.68%	0.89%	0.46%	3.48%	4.5%	2.74%
67	0.59%	0.78%	0.4%	3.28%	4.28%	2.55%
66	0.52%	0.69%	0.35%	3.08%	4.04%	2.37%
65	0.45%	0.6%	0.3%	2.88%	3.79%	2.19%
64	0.4%	0.53%	0.26%	2.68%	3.55%	2.03%
63	0.35%	0.47%	0.23%	2.5%	3.32%	1.88%
62	0.31%	0.43%	0.2%	2.34%	3.11%	1.75%
61	0.28%	0.38%	0.18%	2.2%	2.93%	1.65%
60	0.26%	0.35%	0.17%	2.08%	2.76%	1.55%
59	0.23%	0.32%	0.15%	1.98%	2.61%	1.47%
58	0.21%	0.29%	0.14%	1.88%	2.47%	1.39%
57	0.19%	0.26%	0.13%	1.78%	2.33%	1.32%
56	0.17%	0.23%	0.12%	1.68%	2.2%	1.24%
55	0.15%	0.2%	0.11%	1.58%	2.07%	1.16%
54	0.13%	0.18%	0.1%	1.49%	1.94%	1.09%
53	0.12%	0.15%	0.09%	1.4%	1.83%	1.02%
52	0.11%	0.14%	0.08%	1.32%	1.72%	0.96%
51	0.1%	0.12%	0.07%	1.25%	1.62%	0.91%
50	0.09%	0.11%	0.07%	1.19%	1.52%	0.87%
49	0.08%	0.1%	0.06%	1.13%	1.44%	0.84%
48	0.07%	0.09%	0.06%	1.08%	1.35%	0.8%
47	0.06%	0.08%	0.05%	1.03%	1.28%	0.78%
46	0.06%	0.07%	0.05%	0.98%	1.2%	0.75%
45	0.05%	0.06%	0.04%	0.93%	1.13%	0.73%
44	0.05%	0.05%	0.04%	0.88%	1.07%	0.7%
43	0.04%	0.05%	0.04%	0.84%	1.01%	0.68%
42	0.04%	0.04%	0.03%	0.8%	0.95%	0.65%
41	0.03%	0.04%	0.03%	0.76%	0.9%	0.63%
40	0.03%	0.03%	0.03%	0.73%	0.86%	0.6%
39	0.03%	0.03%	0.03%	0.69%	0.82%	0.57%
38	0.03%	0.03%	0.02%	0.66%	0.78%	0.54%
37	0.02%	0.03%	0.02%	0.63%	0.74%	0.51%
36	0.02%	0.02%	0.02%	0.6%	0.71%	0.49%
35	0.02%	0.02%	0.02%	0.57%	0.67%	0.46%
34	0.02%	0.02%	0.02%	0.54%	0.64%	0.44%
33	0.02%	0.02%	0.02%	0.51%	0.61%	0.42%
32	0.02%	0.02%	0.02%	0.49%	0.58%	0.4%
31	0.02%	0.02%	0.02%	0.46%	0.55%	0.38%
30	0.02%	0.02%	0.02%	0.44%	0.52%	0.36%
29	0.02%	0.02%	0.02%	0.41%	0.5%	0.33%
28	0.02%	0.02%	0.01%	0.39%	0.47%	0.31%
27	0.02%	0.02%	0.01%	0.36%	0.44%	0.28%
26	0.02%	0.02%	0.01%	0.33%	0.41%	0.25%
25	0.02%	0.02%	0.01%	0.3%	0.38%	0.23%
24	0.02%	0.02%	0.01%	0.28%	0.35%	0.2%
23	0.02%	0.02%	0.01%	0.25%	0.32%	0.18%
22	0.01%	0.02%	0.01%	0.23%	0.29%	0.17%
21	0.01%	0.02%	0.01%	0.21%	0.26%	0.15%
20	0.01%	0.02%	0.01%	0.19%	0.23%	0.14%
19	0.01%	0.02%	0.01%	0.16%	0.2%	0.13%
18	0.01%	0.01%	0.009%	0.14%	0.18%	0.11%
17	0.01%	0.01%	0.008%	0.12%	0.15%	0.1%
16	0.009%	0.01%	0.007%	0.11%	0.12%	0.09%
15	0.008%	0.009%	0.006%	0.09%	0.1%	0.07%
14	0.007%	0.008%	0.006%	0.07%	0.09%	0.06%
13	0.006%	0.007%	0.005%	0.06%	0.07%	0.05%
12	0.005%	0.006%	0.005%	0.05%	0.06%	0.04%
11	0.005%	0.006%	0.005%	0.04%	0.05%	0.04%
10	0.005%	0.006%	0.005%	0.04%	0.05%	0.03%
9	0.006%	0.006%	0.005%	0.04%	0.05%	0.03%
8	0.006%	0.007%	0.005%	0.04%	0.05%	0.03%
7	0.007%	0.007%	0.006%	0.04%	0.05%	0.04%
6	0.008%	0.008%	0.007%	0.05%	0.06%	0.04%
5	0.009%	0.009%	0.009%	0.07%	0.08%	0.06%
4	0.01%	0.01%	0.01%	0.1%	0.11%	0.08%
3	0.01%	0.01%	0.01%	0.15%	0.17%	0.12%
2	0.02%	0.01%	0.02%	0.22%	0.25%	0.2%
1	0.02%	0.01%	0.03%	0.35%	0.38%	0.32%
0	0.37%	0.39%	0.35%	2.19%	2.44%	1.93%

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

The annual chance of dying is 0.37% in the birth year in Monaco and 2.19% in South Africa, 0.02% vs 0.44% at age 30, 0.26% vs 2.08% at 60, and 3.07% vs 6.96% at 80.

Death rate by age in Monaco vs South Africa

Chart Table

Monaco

Male

Female

South Africa

Male

Female

1x

Age	Death rate
	Monaco			South Africa
	Total	Male	Female	Total	Male	Female
100	2,061	1,279	2,888	359	204.6	501
99	2,366	1,666	3,112	475	280.8	655
98	2,737	2,047	3,458	572	340	787
97	3,088	2,442	3,761	677	406	928
96	3,410	2,834	4,012	789	478	1,077
95	3,692	3,205	4,204	909	558	1,236
94	3,925	3,540	4,333	1,031	642	1,393
93	4,101	3,824	4,393	1,148	729	1,540
92	4,209	4,045	4,384	1,257	818	1,670
91	4,255	4,200	4,311	1,363	912	1,794
90	4,245	4,288	4,187	1,476	1,014	1,924
89	4,188	4,314	4,027	1,585	1,118	2,045
88	4,096	4,284	3,846	1,686	1,220	2,150
87	3,958	4,205	3,654	1,775	1,315	2,238
86	3,797	4,083	3,454	1,845	1,397	2,299
85	3,611	3,925	3,245	1,897	1,467	2,335
84	3,402	3,735	3,024	1,937	1,530	2,353
83	3,174	3,516	2,787	1,972	1,591	2,363
82	2,921	3,276	2,537	2,008	1,656	2,371
81	2,665	3,024	2,281	2,052	1,732	2,383
80	2,413	2,769	2,028	2,102	1,819	2,399
79	2,173	2,523	1,789	2,156	1,914	2,411
78	1,954	2,291	1,573	2,202	2,006	2,410
77	1,753	2,079	1,381	2,228	2,080	2,386
76	1,575	1,886	1,215	2,228	2,126	2,335
75	1,418	1,713	1,072	2,204	2,144	2,262
74	1,271	1,556	948	2,161	2,141	2,176
73	1,140	1,412	840	2,112	2,132	2,089
72	1,024	1,279	744	2,066	2,123	2,008
71	914	1,154	658	2,028	2,121	1,936
70	815	1,038	580	1,997	2,124	1,871
69	725	928	509	1,966	2,128	1,807
68	639	826	444	1,929	2,124	1,740
67	561	731	385	1,882	2,108	1,667
66	491	646	334	1,822	2,074	1,585
65	431	571	289.1	1,752	2,025	1,500
64	381	506	251.9	1,679	1,965	1,415
63	338	452	221.7	1,606	1,901	1,337
62	302	407	197.5	1,540	1,839	1,269
61	272.3	370	178.2	1,482	1,782	1,211
60	249.4	337	162.6	1,431	1,730	1,162
59	228.4	307	149.4	1,384	1,679	1,116
58	206.5	278.4	137.5	1,339	1,629	1,072
57	185.8	249.9	126.3	1,292	1,575	1,026
56	166.8	222	115.7	1,242	1,519	978
55	148.4	195.7	105.6	1,190	1,459	929
54	132.4	171.9	96.2	1,137	1,397	881
53	117.9	151.3	87.8	1,085	1,337	835
52	105.8	133.9	80.5	1,037	1,279	795
51	95.9	119.3	74	994	1,223	760
50	86.1	106.8	68.2	954	1,171	731
49	77.9	95.8	62.9	918	1,120	707
48	70.8	85.7	57.9	883	1,071	686
47	63.7	76.2	53	850	1,022	668
46	57.1	67.3	48.3	818	974	652
45	50.9	59.2	43.9	786	928	635
44	45.5	51.9	39.8	755	884	619
43	40.8	45.7	36.2	724	842	601
42	36.7	40.4	33.1	695	804	581
41	33.3	36.1	30.5	667	770	560
40	30.4	32.6	28.2	639	738	538
39	28	29.7	26.3	613	708	515
38	26	27.3	24.6	587	680	492
37	24.2	25.3	23	562	653	470
36	22.6	23.5	21.6	538	626	449
35	21.2	22.1	20.3	515	600	429
34	20	20.8	19.1	493	575	410
33	18.9	19.7	18.1	471	551	392
32	18	18.7	17.1	450	527	374
31	17.2	18	16.3	429	504	355
30	16.6	17.4	15.7	408	481	335
29	16.1	17	15	386	458	314
28	15.7	16.8	14.5	363	434	291.3
27	15.4	16.8	13.9	339	410	266.7
26	15.3	17	13.4	314	384	241.5
25	15.1	17.3	12.9	289.1	358	217.1
24	15.1	17.6	12.5	264.7	331	195.1
23	15	17.9	11.9	241.4	304	176
22	14.8	18.1	11.4	219.2	276.6	159.6
21	14.5	17.9	10.9	198.1	249	145.6
20	13.9	17.4	10.2	177.8	221.4	133.1
19	13	16.3	9.55	158	194.2	121.2
18	11.8	14.7	8.77	138.5	167.7	108.8
17	10.4	12.8	7.94	119.5	142.6	96
16	9.02	10.9	7.11	101.4	119.6	82.9
15	7.74	9.1	6.34	85	99.4	70.2
14	6.68	7.66	5.68	70.7	82.4	58.8
13	5.91	6.64	5.17	58.9	68.7	49
12	5.42	6.01	4.83	49.7	58.1	41.1
11	5.2	5.75	4.65	43	50.5	35.3
10	5.23	5.78	4.66	38.7	45.8	31.6
9	5.5	6.09	4.88	37	43.9	30
8	5.99	6.63	5.33	37.9	45.2	30.6
7	6.73	7.36	6.09	42.2	50.2	34.1
6	7.75	8.24	7.23	51.2	60.6	41.7
5	9.08	9.24	8.91	67.2	79	55.4
4	10.8	10.3	11.3	95.3	110.3	80
3	13	11.5	14.6	141.9	161.3	121.7
2	15.9	12.9	19.1	218.6	243.8	192.5
1	19.6	14.3	25.2	343	375	310
0	368	386	350	2,192	2,441	1,934

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 Monaco, the most common age of death is 91, compared to 77 in South Africa. The median age of death is 88.7 in Monaco and 70.8 in South Africa, 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 Monaco and South Africa more than their death rates.

Life expectancy in other countries

+ -

1x