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

Life expectancy by current age

Chart Table

Monaco

Male

Female

South Sudan

Male

Female

1x

Current age, years	Total life expectancy, years
	Monaco			South Sudan
	Average	Male	Female	Average	Male	Female
100	103.1	102.6	103.3	101.7	101.6	101.8
99	102.3	101.8	102.6	100.7	100.6	100.8
98	101.5	101	101.9	99.8	99.6	99.9
97	100.8	100.2	101.2	98.9	98.7	99
96	100.1	99.4	100.5	98.1	97.8	98.1
95	99.3	98.7	99.8	97.2	96.9	97.3
94	98.7	97.9	99.2	96.3	96	96.4
93	98	97.2	98.5	95.5	95.1	95.6
92	97.3	96.6	97.9	94.7	94.2	94.8
91	96.7	95.9	97.4	93.8	93.4	94
90	96.1	95.3	96.8	93	92.6	93.2
89	95.6	94.7	96.3	92.2	91.8	92.4
88	95	94.1	95.8	91.4	91	91.6
87	94.5	93.5	95.4	90.6	90.2	90.8
86	94	93	94.9	89.9	89.4	90.1
85	93.5	92.5	94.5	89.1	88.7	89.4
84	93.1	92	94.1	88.4	87.9	88.6
83	92.6	91.5	93.7	87.7	87.2	87.9
82	92.2	91.1	93.3	87	86.5	87.2
81	91.9	90.7	93	86.3	85.8	86.6
80	91.5	90.3	92.7	85.6	85.1	85.9
79	91.2	89.9	92.4	85	84.5	85.3
78	90.9	89.6	92.2	84.4	83.8	84.7
77	90.6	89.3	91.9	83.8	83.2	84.2
76	90.3	89	91.7	83.2	82.6	83.6
75	90.1	88.7	91.5	82.6	82	83.1
74	89.9	88.5	91.4	82.1	81.5	82.6
73	89.7	88.2	91.2	81.6	80.9	82.1
72	89.5	88	91.1	81.1	80.4	81.6
71	89.3	87.8	90.9	80.6	79.8	81.1
70	89.1	87.6	90.8	80.1	79.3	80.7
69	89	87.4	90.7	79.7	78.9	80.2
68	88.8	87.2	90.6	79.2	78.4	79.8
67	88.7	87.1	90.5	78.8	77.9	79.5
66	88.6	86.9	90.4	78.4	77.5	79.1
65	88.5	86.8	90.3	78	77.1	78.7
64	88.4	86.7	90.3	77.6	76.7	78.4
63	88.3	86.6	90.2	77.3	76.3	78.1
62	88.2	86.5	90.1	76.9	75.9	77.8
61	88.2	86.4	90.1	76.6	75.5	77.5
60	88.1	86.3	90	76.3	75.1	77.2
59	88	86.2	90	76	74.8	76.9
58	88	86.1	90	75.7	74.5	76.7
57	87.9	86.1	89.9	75.4	74.1	76.4
56	87.9	86	89.9	75.1	73.8	76.2
55	87.8	85.9	89.8	74.8	73.5	76
54	87.8	85.9	89.8	74.5	73.2	75.7
53	87.7	85.8	89.8	74.3	72.9	75.5
52	87.7	85.8	89.7	74	72.6	75.3
51	87.6	85.7	89.7	73.8	72.3	75.1
50	87.6	85.7	89.7	73.5	72	74.8
49	87.6	85.7	89.7	73.3	71.7	74.6
48	87.6	85.6	89.6	73	71.4	74.4
47	87.5	85.6	89.6	72.8	71.2	74.3
46	87.5	85.6	89.6	72.6	70.9	74.1
45	87.5	85.6	89.6	72.4	70.6	73.9
44	87.5	85.5	89.5	72.1	70.4	73.7
43	87.4	85.5	89.5	71.9	70.1	73.5
42	87.4	85.5	89.5	71.7	69.9	73.3
41	87.4	85.5	89.5	71.5	69.6	73.1
40	87.4	85.5	89.5	71.2	69.4	72.9
39	87.4	85.5	89.5	71	69.1	72.7
38	87.4	85.4	89.5	70.8	68.9	72.5
37	87.4	85.4	89.4	70.6	68.6	72.4
36	87.3	85.4	89.4	70.4	68.4	72.2
35	87.3	85.4	89.4	70.2	68.2	72
34	87.3	85.4	89.4	70	67.9	71.8
33	87.3	85.4	89.4	69.8	67.7	71.7
32	87.3	85.4	89.4	69.5	67.4	71.5
31	87.3	85.4	89.4	69.3	67.2	71.3
30	87.3	85.4	89.4	69.1	67	71.1
29	87.3	85.3	89.4	68.9	66.7	71
28	87.3	85.3	89.4	68.7	66.5	70.8
27	87.3	85.3	89.4	68.5	66.2	70.6
26	87.2	85.3	89.3	68.3	65.9	70.4
25	87.2	85.3	89.3	68	65.7	70.3
24	87.2	85.3	89.3	67.8	65.4	70.1
23	87.2	85.3	89.3	67.6	65.1	70
22	87.2	85.3	89.3	67.4	64.9	69.8
21	87.2	85.3	89.3	67.2	64.6	69.6
20	87.2	85.2	89.3	67	64.4	69.5
19	87.2	85.2	89.3	66.8	64.1	69.3
18	87.2	85.2	89.3	66.6	63.9	69.2
17	87.2	85.2	89.3	66.4	63.7	69
16	87.2	85.2	89.3	66.3	63.5	68.9
15	87.2	85.2	89.3	66.1	63.4	68.8
14	87.1	85.2	89.3	66	63.2	68.7
13	87.1	85.2	89.3	65.8	63.1	68.5
12	87.1	85.2	89.3	65.7	62.9	68.4
11	87.1	85.2	89.3	65.5	62.8	68.3
10	87.1	85.2	89.2	65.4	62.6	68.2
9	87.1	85.2	89.2	65.2	62.4	68
8	87.1	85.2	89.2	65	62.1	67.8
7	87.1	85.2	89.2	64.7	61.8	67.6
6	87.1	85.2	89.2	64.4	61.5	67.3
5	87.1	85.2	89.2	64	61.1	67
4	87.1	85.1	89.2	63.6	60.6	66.6
3	87.1	85.1	89.2	63.1	60.1	66.1
2	87.1	85.1	89.2	62.5	59.5	65.5
1	87.1	85.1	89.2	61.8	58.9	64.7
0	86.7	84.8	88.8	58	55	61

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 69.1 in South Sudan, rising to 88.5 and 78 at 65, and to 91.5 and 85.6 at 80 — higher than the 86.7 and 58 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Monaco

Male

Female

South Sudan

Male

Female

1x

Age	Survival probability
	Monaco			South Sudan
	Average	Male	Female	Average	Male	Female
100	8.43%	4.58%	12.9%	0.06%	0.02%	0.1%
99	10.8%	6.25%	16%	0.1%	0.03%	0.17%
98	13.5%	8.3%	19.4%	0.17%	0.05%	0.28%
97	16.6%	10.7%	23.2%	0.27%	0.1%	0.44%
96	20%	13.6%	27.2%	0.43%	0.16%	0.67%
95	23.7%	16.8%	31.4%	0.64%	0.27%	1%
94	27.7%	20.3%	35.7%	0.94%	0.44%	1.44%
93	31.8%	24.1%	40.1%	1.35%	0.67%	2.01%
92	36%	28.2%	44.5%	1.87%	1%	2.73%
91	40.2%	32.4%	48.8%	2.54%	1.45%	3.62%
90	44.5%	36.7%	53%	3.37%	2.03%	4.7%
89	48.7%	41%	57.1%	4.38%	2.76%	5.98%
88	52.7%	45.3%	60.9%	5.58%	3.65%	7.47%
87	56.7%	49.5%	64.6%	6.96%	4.7%	9.18%
86	60.5%	53.6%	68%	8.54%	5.92%	11.1%
85	64.1%	57.5%	71.2%	10.3%	7.31%	13.2%
84	67.5%	61.2%	74.3%	12.3%	8.88%	15.6%
83	70.7%	64.7%	77.1%	14.4%	10.6%	18%
82	73.6%	68%	79.6%	16.6%	12.5%	20.6%
81	76.3%	71%	81.9%	18.9%	14.5%	23.3%
80	78.7%	73.8%	83.9%	21.3%	16.6%	26.1%
79	80.9%	76.3%	85.7%	23.8%	18.8%	28.8%
78	82.8%	78.6%	87.3%	26.3%	21%	31.6%
77	84.6%	80.7%	88.6%	28.8%	23.3%	34.3%
76	86.1%	82.6%	89.9%	31.3%	25.6%	36.9%
75	87.6%	84.3%	90.9%	33.7%	27.9%	39.6%
74	88.8%	85.9%	91.9%	36.2%	30.2%	42.1%
73	90%	87.3%	92.7%	38.5%	32.5%	44.6%
72	91%	88.5%	93.5%	40.8%	34.7%	46.9%
71	91.9%	89.7%	94.1%	43%	36.9%	49.2%
70	92.7%	90.7%	94.7%	45.1%	39%	51.3%
69	93.4%	91.7%	95.2%	47.1%	41%	53.3%
68	94.1%	92.5%	95.7%	49.1%	42.9%	55.2%
67	94.6%	93.2%	96%	50.9%	44.8%	57%
66	95.1%	93.9%	96.4%	52.6%	46.6%	58.7%
65	95.6%	94.4%	96.7%	54.2%	48.3%	60.2%
64	96%	94.9%	96.9%	55.8%	49.9%	61.7%
63	96.3%	95.4%	97.1%	57.3%	51.5%	63.1%
62	96.6%	95.8%	97.3%	58.6%	53%	64.3%
61	96.9%	96.2%	97.5%	59.9%	54.4%	65.5%
60	97.1%	96.5%	97.7%	61.1%	55.7%	66.6%
59	97.3%	96.8%	97.8%	62.3%	57%	67.6%
58	97.5%	97.1%	98%	63.3%	58.2%	68.6%
57	97.7%	97.3%	98.1%	64.4%	59.3%	69.5%
56	97.9%	97.6%	98.2%	65.3%	60.4%	70.3%
55	98%	97.8%	98.3%	66.3%	61.5%	71.1%
54	98.2%	97.9%	98.4%	67.2%	62.5%	71.9%
53	98.3%	98.1%	98.5%	68%	63.5%	72.7%
52	98.4%	98.2%	98.6%	68.9%	64.5%	73.4%
51	98.5%	98.3%	98.7%	69.7%	65.4%	74%
50	98.6%	98.4%	98.7%	70.4%	66.3%	74.7%
49	98.7%	98.5%	98.8%	71.1%	67.1%	75.3%
48	98.7%	98.6%	98.8%	71.8%	67.9%	75.8%
47	98.8%	98.7%	98.9%	72.5%	68.6%	76.4%
46	98.9%	98.8%	98.9%	73.1%	69.4%	76.9%
45	98.9%	98.8%	99%	73.7%	70.1%	77.4%
44	99%	98.9%	99%	74.3%	70.8%	77.9%
43	99%	98.9%	99.1%	74.9%	71.5%	78.4%
42	99%	99%	99.1%	75.5%	72.1%	78.9%
41	99.1%	99%	99.1%	76.1%	72.8%	79.4%
40	99.1%	99%	99.2%	76.6%	73.4%	79.9%
39	99.1%	99.1%	99.2%	77.1%	74%	80.3%
38	99.1%	99.1%	99.2%	77.6%	74.6%	80.8%
37	99.2%	99.1%	99.2%	78.1%	75.2%	81.2%
36	99.2%	99.1%	99.2%	78.6%	75.8%	81.6%
35	99.2%	99.2%	99.3%	79.1%	76.3%	82%
34	99.2%	99.2%	99.3%	79.6%	76.9%	82.4%
33	99.3%	99.2%	99.3%	80%	77.4%	82.7%
32	99.3%	99.2%	99.3%	80.5%	77.9%	83.1%
31	99.3%	99.2%	99.3%	80.9%	78.5%	83.5%
30	99.3%	99.3%	99.4%	81.4%	79%	83.8%
29	99.3%	99.3%	99.4%	81.8%	79.5%	84.2%
28	99.3%	99.3%	99.4%	82.2%	80.1%	84.5%
27	99.4%	99.3%	99.4%	82.7%	80.6%	84.9%
26	99.4%	99.3%	99.4%	83.1%	81.1%	85.2%
25	99.4%	99.3%	99.4%	83.5%	81.6%	85.5%
24	99.4%	99.4%	99.4%	84%	82.2%	85.8%
23	99.4%	99.4%	99.4%	84.4%	82.7%	86.1%
22	99.4%	99.4%	99.5%	84.8%	83.2%	86.4%
21	99.4%	99.4%	99.5%	85.2%	83.7%	86.7%
20	99.5%	99.4%	99.5%	85.6%	84.2%	87%
19	99.5%	99.4%	99.5%	85.9%	84.7%	87.2%
18	99.5%	99.5%	99.5%	86.2%	85.1%	87.5%
17	99.5%	99.5%	99.5%	86.5%	85.4%	87.7%
16	99.5%	99.5%	99.5%	86.8%	85.7%	87.9%
15	99.5%	99.5%	99.5%	87.1%	86%	88.2%
14	99.5%	99.5%	99.5%	87.3%	86.3%	88.4%
13	99.5%	99.5%	99.5%	87.5%	86.6%	88.5%
12	99.5%	99.5%	99.5%	87.8%	86.8%	88.7%
11	99.5%	99.5%	99.5%	88%	87.1%	88.9%
10	99.5%	99.5%	99.5%	88.3%	87.4%	89.1%
9	99.5%	99.5%	99.6%	88.6%	87.8%	89.4%
8	99.5%	99.5%	99.6%	88.9%	88.2%	89.7%
7	99.6%	99.5%	99.6%	89.3%	88.6%	90%
6	99.6%	99.6%	99.6%	89.8%	89.2%	90.4%
5	99.6%	99.6%	99.6%	90.3%	89.8%	90.9%
4	99.6%	99.6%	99.6%	91%	90.6%	91.5%
3	99.6%	99.6%	99.6%	91.8%	91.4%	92.2%
2	99.6%	99.6%	99.6%	92.7%	92.3%	93.1%
1	99.6%	99.6%	99.6%	93.8%	93.3%	94.2%

This chart shows the odds of living to each age from birth. 97.1% of newborns in Monaco and 61.1% in South Sudan are expected to live past 60, 92.7% and 45.1% past 70, 78.7% and 21.3% past 80, and only 44.5% and 3.37% 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 Sudan

Male

Female

1x

Age	Probability of dying
	Monaco			South Sudan
	Average	Male	Female	Average	Male	Female
100	23.4%	28.5%	20.9%	45.7%	49.1%	43.1%
99	21.9%	26.7%	19.5%	43.7%	47.1%	41%
98	20.2%	24.7%	17.8%	40.5%	45.5%	39.1%
97	18.6%	22.7%	16.2%	37.7%	43.8%	37.1%
96	17%	20.9%	14.7%	35.6%	41.9%	35%
95	15.6%	19.1%	13.4%	33.8%	39.8%	32.8%
94	14.2%	17.4%	12.1%	31.9%	37.5%	30.6%
93	12.9%	15.8%	10.9%	30%	35.2%	28.4%
92	11.7%	14.4%	9.85%	28.1%	33%	26.4%
91	10.6%	13%	8.83%	26.3%	30.8%	24.6%
90	9.55%	11.7%	7.9%	24.6%	28.6%	22.9%
89	8.61%	10.5%	7.06%	23%	26.4%	21.4%
88	7.77%	9.46%	6.32%	21.4%	24.3%	20%
87	6.98%	8.5%	5.66%	19.9%	22.4%	18.6%
86	6.28%	7.62%	5.08%	18.5%	20.6%	17.4%
85	5.63%	6.83%	4.55%	17.1%	19%	16.1%
84	5.04%	6.1%	4.07%	15.9%	17.6%	14.9%
83	4.49%	5.43%	3.62%	14.6%	16.3%	13.7%
82	3.97%	4.82%	3.19%	13.5%	15%	12.6%
81	3.49%	4.26%	2.79%	12.4%	13.8%	11.5%
80	3.07%	3.75%	2.42%	11.3%	12.7%	10.5%
79	2.69%	3.31%	2.09%	10.4%	11.7%	9.54%
78	2.36%	2.91%	1.8%	9.47%	10.7%	8.69%
77	2.07%	2.58%	1.56%	8.67%	9.8%	7.92%
76	1.83%	2.28%	1.35%	7.94%	9%	7.23%
75	1.62%	2.03%	1.18%	7.29%	8.28%	6.61%
74	1.43%	1.81%	1.03%	6.69%	7.61%	6.05%
73	1.27%	1.62%	0.91%	6.14%	6.99%	5.52%
72	1.12%	1.44%	0.8%	5.62%	6.41%	5.03%
71	0.99%	1.29%	0.7%	5.13%	5.87%	4.58%
70	0.88%	1.14%	0.61%	4.68%	5.37%	4.16%
69	0.78%	1.01%	0.53%	4.26%	4.91%	3.77%
68	0.68%	0.89%	0.46%	3.9%	4.5%	3.43%
67	0.59%	0.78%	0.4%	3.57%	4.14%	3.12%
66	0.52%	0.69%	0.35%	3.28%	3.83%	2.84%
65	0.45%	0.6%	0.3%	3.02%	3.54%	2.6%
64	0.4%	0.53%	0.26%	2.78%	3.28%	2.37%
63	0.35%	0.47%	0.23%	2.56%	3.04%	2.17%
62	0.31%	0.43%	0.2%	2.35%	2.81%	1.97%
61	0.28%	0.38%	0.18%	2.16%	2.59%	1.8%
60	0.26%	0.35%	0.17%	1.98%	2.39%	1.64%
59	0.23%	0.32%	0.15%	1.82%	2.21%	1.5%
58	0.21%	0.29%	0.14%	1.69%	2.06%	1.39%
57	0.19%	0.26%	0.13%	1.58%	1.93%	1.29%
56	0.17%	0.23%	0.12%	1.49%	1.82%	1.21%
55	0.15%	0.2%	0.11%	1.42%	1.73%	1.15%
54	0.13%	0.18%	0.1%	1.35%	1.65%	1.09%
53	0.12%	0.15%	0.09%	1.28%	1.57%	1.03%
52	0.11%	0.14%	0.08%	1.21%	1.49%	0.97%
51	0.1%	0.12%	0.07%	1.14%	1.41%	0.91%
50	0.09%	0.11%	0.07%	1.07%	1.32%	0.85%
49	0.08%	0.1%	0.06%	1%	1.24%	0.79%
48	0.07%	0.09%	0.06%	0.95%	1.17%	0.75%
47	0.06%	0.08%	0.05%	0.9%	1.11%	0.71%
46	0.06%	0.07%	0.05%	0.86%	1.06%	0.69%
45	0.05%	0.06%	0.04%	0.84%	1.02%	0.67%
44	0.05%	0.05%	0.04%	0.81%	0.99%	0.66%
43	0.04%	0.05%	0.04%	0.79%	0.96%	0.64%
42	0.04%	0.04%	0.03%	0.77%	0.92%	0.63%
41	0.03%	0.04%	0.03%	0.74%	0.89%	0.61%
40	0.03%	0.03%	0.03%	0.71%	0.85%	0.58%
39	0.03%	0.03%	0.03%	0.68%	0.82%	0.56%
38	0.03%	0.03%	0.02%	0.65%	0.79%	0.53%
37	0.02%	0.03%	0.02%	0.63%	0.76%	0.51%
36	0.02%	0.02%	0.02%	0.61%	0.74%	0.49%
35	0.02%	0.02%	0.02%	0.6%	0.73%	0.48%
34	0.02%	0.02%	0.02%	0.59%	0.71%	0.47%
33	0.02%	0.02%	0.02%	0.58%	0.7%	0.46%
32	0.02%	0.02%	0.02%	0.57%	0.69%	0.45%
31	0.02%	0.02%	0.02%	0.56%	0.68%	0.44%
30	0.02%	0.02%	0.02%	0.55%	0.67%	0.43%
29	0.02%	0.02%	0.02%	0.54%	0.66%	0.42%
28	0.02%	0.02%	0.01%	0.53%	0.65%	0.41%
27	0.02%	0.02%	0.01%	0.52%	0.65%	0.39%
26	0.02%	0.02%	0.01%	0.52%	0.65%	0.38%
25	0.02%	0.02%	0.01%	0.51%	0.65%	0.37%
24	0.02%	0.02%	0.01%	0.51%	0.65%	0.36%
23	0.02%	0.02%	0.01%	0.5%	0.65%	0.35%
22	0.01%	0.02%	0.01%	0.49%	0.63%	0.34%
21	0.01%	0.02%	0.01%	0.47%	0.61%	0.33%
20	0.01%	0.02%	0.01%	0.44%	0.57%	0.32%
19	0.01%	0.02%	0.01%	0.41%	0.52%	0.3%
18	0.01%	0.01%	0.009%	0.38%	0.47%	0.29%
17	0.01%	0.01%	0.008%	0.35%	0.42%	0.27%
16	0.009%	0.01%	0.007%	0.32%	0.37%	0.26%
15	0.008%	0.009%	0.006%	0.29%	0.34%	0.24%
14	0.007%	0.008%	0.006%	0.27%	0.31%	0.22%
13	0.006%	0.007%	0.005%	0.26%	0.3%	0.22%
12	0.005%	0.006%	0.005%	0.26%	0.3%	0.22%
11	0.005%	0.006%	0.005%	0.27%	0.32%	0.22%
10	0.005%	0.006%	0.005%	0.3%	0.35%	0.24%
9	0.006%	0.006%	0.005%	0.34%	0.4%	0.27%
8	0.006%	0.007%	0.005%	0.39%	0.47%	0.31%
7	0.007%	0.007%	0.006%	0.45%	0.54%	0.36%
6	0.008%	0.008%	0.007%	0.53%	0.63%	0.43%
5	0.009%	0.009%	0.009%	0.62%	0.71%	0.53%
4	0.01%	0.01%	0.01%	0.73%	0.8%	0.65%
3	0.01%	0.01%	0.01%	0.85%	0.9%	0.8%
2	0.02%	0.01%	0.02%	0.99%	0.99%	0.98%
1	0.02%	0.01%	0.03%	1.16%	1.1%	1.22%
0	0.37%	0.39%	0.35%	6.22%	6.67%	5.75%

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

The annual chance of dying is 0.37% in the birth year in Monaco and 6.22% in South Sudan, 0.02% vs 0.55% at age 30, 0.26% vs 1.98% at 60, and 3.07% vs 11.3% at 80.

Death rate by age in Monaco vs South Sudan

Chart Table

Monaco

Male

Female

South Sudan

Male

Female

1x

Age	Death rate
	Monaco			South Sudan
	Total	Male	Female	Total	Male	Female
100	2,061	1,279	2,888	0	0	0
99	2,366	1,666	3,112	44.4	13.7	68.6
98	2,737	2,047	3,458	69.1	24.4	107.5
97	3,088	2,442	3,761	103.4	41.7	162.1
96	3,410	2,834	4,012	151.7	68.7	235
95	3,692	3,205	4,204	217.2	108.2	328
94	3,925	3,540	4,333	301	163.5	440
93	4,101	3,824	4,393	404	237	571
92	4,209	4,045	4,384	527	331	722
91	4,255	4,200	4,311	670	447	890
90	4,245	4,288	4,187	831	582	1,077
89	4,188	4,314	4,027	1,007	729	1,279
88	4,096	4,284	3,846	1,193	887	1,492
87	3,958	4,205	3,654	1,386	1,052	1,712
86	3,797	4,083	3,454	1,579	1,221	1,929
85	3,611	3,925	3,245	1,767	1,392	2,135
84	3,402	3,735	3,024	1,944	1,562	2,321
83	3,174	3,516	2,787	2,103	1,725	2,478
82	2,921	3,276	2,537	2,237	1,874	2,600
81	2,665	3,024	2,281	2,342	2,003	2,685
80	2,413	2,769	2,028	2,417	2,108	2,734
79	2,173	2,523	1,789	2,465	2,188	2,750
78	1,954	2,291	1,573	2,490	2,246	2,742
77	1,753	2,079	1,381	2,497	2,284	2,714
76	1,575	1,886	1,215	2,485	2,305	2,672
75	1,418	1,713	1,072	2,459	2,311	2,615
74	1,271	1,556	948	2,419	2,300	2,546
73	1,140	1,412	840	2,364	2,272	2,461
72	1,024	1,279	744	2,292	2,226	2,363
71	914	1,154	658	2,207	2,164	2,252
70	815	1,038	580	2,111	2,091	2,133
69	725	928	509	2,011	2,013	2,011
68	639	826	444	1,911	1,933	1,891
67	561	731	385	1,815	1,855	1,777
66	491	646	334	1,724	1,782	1,668
65	431	571	289.1	1,636	1,710	1,565
64	381	506	251.9	1,551	1,639	1,464
63	338	452	221.7	1,465	1,565	1,366
62	302	407	197.5	1,378	1,488	1,270
61	272.3	370	178.2	1,292	1,409	1,178
60	249.4	337	162.6	1,210	1,332	1,092
59	228.4	307	149.4	1,136	1,260	1,015
58	206.5	278.4	137.5	1,072	1,197	950
57	185.8	249.9	126.3	1,018	1,145	896
56	166.8	222	115.7	976	1,102	853
55	148.4	195.7	105.6	939	1,066	816
54	132.4	171.9	96.2	906	1,033	782
53	117.9	151.3	87.8	872	999	748
52	105.8	133.9	80.5	835	961	711
51	95.9	119.3	74	795	919	672
50	86.1	106.8	68.2	753	875	633
49	77.9	95.8	62.9	713	832	596
48	70.8	85.7	57.9	679	794	566
47	63.7	76.2	53	651	762	543
46	57.1	67.3	48.3	631	737	528
45	50.9	59.2	43.9	616	717	519
44	45.5	51.9	39.8	604	700	512
43	40.8	45.7	36.2	593	685	506
42	36.7	40.4	33.1	580	667	496
41	33.3	36.1	30.5	564	648	483
40	30.4	32.6	28.2	545	628	467
39	28	29.7	26.3	526	608	449
38	26	27.3	24.6	508	590	431
37	24.2	25.3	23	493	575	415
36	22.6	23.5	21.6	481	563	402
35	21.2	22.1	20.3	473	555	392
34	20	20.8	19.1	466	549	384
33	18.9	19.7	18.1	461	544	377
32	18	18.7	17.1	456	538	372
31	17.2	18	16.3	451	533	366
30	16.6	17.4	15.7	446	527	359
29	16.1	17	15	440	523	352
28	15.7	16.8	14.5	436	522	344
27	15.4	16.8	13.9	432	523	335
26	15.3	17	13.4	429	527	325
25	15.1	17.3	12.9	427	532	316
24	15.1	17.6	12.5	424	536	307
23	15	17.9	11.9	420	535	298.4
22	14.8	18.1	11.4	412	527	290.7
21	14.5	17.9	10.9	398	508	283.3
20	13.9	17.4	10.2	379	478	275.1
19	13	16.3	9.55	354	439	265.4
18	11.8	14.7	8.77	327	397	253.5
17	10.4	12.8	7.94	299.3	357	239.3
16	9.02	10.9	7.11	273.6	321	224.4
15	7.74	9.1	6.34	251.3	290.8	210.1
14	6.68	7.66	5.68	235.1	270	198.7
13	5.91	6.64	5.17	226.8	260.1	192
12	5.42	6.01	4.83	227.9	262.8	191.3
11	5.2	5.75	4.65	239.4	279	198.2
10	5.23	5.78	4.66	262	309	213.5
9	5.5	6.09	4.88	296.8	353	238.8
8	5.99	6.63	5.33	344	411	275.7
7	6.73	7.36	6.09	404	480	326
6	7.75	8.24	7.23	477	558	393
5	9.08	9.24	8.91	561	641	479
4	10.8	10.3	11.3	660	727	591
3	13	11.5	14.6	776	818	733
2	15.9	12.9	19.1	915	916	915
1	19.6	14.3	25.2	1,086	1,027	1,147
0	368	386	350	6,215	6,667	5,754

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 0 in South Sudan. The median age of death is 88.7 in Monaco and 67.5 in South Sudan, 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 Sudan more than their death rates.

Life expectancy in other countries

+ -

1x