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

Life expectancy by current age

Chart Table

Mauritius

Male

Female

South Sudan

Male

Female

1x

Current age, years	Total life expectancy, years
	Mauritius			South Sudan
	Average	Male	Female	Average	Male	Female
100	102.6	102.3	102.7	101.7	101.6	101.8
99	101.7	101.5	101.8	100.7	100.6	100.8
98	100.9	100.7	101	99.8	99.6	99.9
97	100.1	99.9	100.1	98.9	98.7	99
96	99.2	99.1	99.3	98.1	97.8	98.1
95	98.4	98.2	98.5	97.2	96.9	97.3
94	97.7	97.4	97.8	96.3	96	96.4
93	96.9	96.6	97	95.5	95.1	95.6
92	96.1	95.9	96.3	94.7	94.2	94.8
91	95.4	95.1	95.6	93.8	93.4	94
90	94.7	94.3	94.9	93	92.6	93.2
89	94	93.6	94.2	92.2	91.8	92.4
88	93.3	92.9	93.5	91.4	91	91.6
87	92.6	92.1	92.9	90.6	90.2	90.8
86	91.9	91.4	92.2	89.9	89.4	90.1
85	91.3	90.8	91.7	89.1	88.7	89.4
84	90.7	90.1	91.1	88.4	87.9	88.6
83	90.1	89.5	90.6	87.7	87.2	87.9
82	89.6	88.9	90.1	87	86.5	87.2
81	89.1	88.3	89.6	86.3	85.8	86.6
80	88.5	87.7	89.1	85.6	85.1	85.9
79	88	87.2	88.7	85	84.5	85.3
78	87.5	86.6	88.2	84.4	83.8	84.7
77	87	86.1	87.8	83.8	83.2	84.2
76	86.6	85.6	87.4	83.2	82.6	83.6
75	86.1	85.1	87	82.6	82	83.1
74	85.7	84.6	86.6	82.1	81.5	82.6
73	85.3	84.2	86.2	81.6	80.9	82.1
72	84.9	83.7	85.9	81.1	80.4	81.6
71	84.5	83.3	85.6	80.6	79.8	81.1
70	84.1	82.9	85.2	80.1	79.3	80.7
69	83.8	82.5	84.9	79.7	78.9	80.2
68	83.4	82.1	84.7	79.2	78.4	79.8
67	83.1	81.7	84.4	78.8	77.9	79.5
66	82.8	81.3	84.1	78.4	77.5	79.1
65	82.4	80.9	83.9	78	77.1	78.7
64	82.1	80.5	83.7	77.6	76.7	78.4
63	81.9	80.2	83.4	77.3	76.3	78.1
62	81.6	79.9	83.2	76.9	75.9	77.8
61	81.3	79.6	83	76.6	75.5	77.5
60	81.1	79.3	82.9	76.3	75.1	77.2
59	80.9	79	82.7	76	74.8	76.9
58	80.7	78.7	82.5	75.7	74.5	76.7
57	80.4	78.5	82.4	75.4	74.1	76.4
56	80.2	78.3	82.2	75.1	73.8	76.2
55	80	78	82.1	74.8	73.5	76
54	79.9	77.8	81.9	74.5	73.2	75.7
53	79.7	77.6	81.8	74.3	72.9	75.5
52	79.5	77.3	81.7	74	72.6	75.3
51	79.3	77.1	81.6	73.8	72.3	75.1
50	79.2	76.9	81.5	73.5	72	74.8
49	79	76.7	81.4	73.3	71.7	74.6
48	78.9	76.5	81.2	73	71.4	74.4
47	78.7	76.4	81.1	72.8	71.2	74.3
46	78.6	76.2	81	72.6	70.9	74.1
45	78.5	76.1	81	72.4	70.6	73.9
44	78.3	75.9	80.9	72.1	70.4	73.7
43	78.2	75.8	80.8	71.9	70.1	73.5
42	78.1	75.7	80.7	71.7	69.9	73.3
41	78	75.5	80.6	71.5	69.6	73.1
40	77.9	75.4	80.6	71.2	69.4	72.9
39	77.8	75.3	80.5	71	69.1	72.7
38	77.7	75.2	80.5	70.8	68.9	72.5
37	77.7	75.1	80.4	70.6	68.6	72.4
36	77.6	75	80.4	70.4	68.4	72.2
35	77.5	74.9	80.3	70.2	68.2	72
34	77.4	74.8	80.3	70	67.9	71.8
33	77.4	74.7	80.2	69.8	67.7	71.7
32	77.3	74.6	80.2	69.5	67.4	71.5
31	77.2	74.5	80.1	69.3	67.2	71.3
30	77.2	74.5	80.1	69.1	67	71.1
29	77.1	74.4	80.1	68.9	66.7	71
28	77.1	74.3	80	68.7	66.5	70.8
27	77	74.2	80	68.5	66.2	70.6
26	77	74.2	80	68.3	65.9	70.4
25	76.9	74.1	79.9	68	65.7	70.3
24	76.9	74	79.9	67.8	65.4	70.1
23	76.8	74	79.9	67.6	65.1	70
22	76.8	73.9	79.8	67.4	64.9	69.8
21	76.7	73.8	79.8	67.2	64.6	69.6
20	76.7	73.8	79.8	67	64.4	69.5
19	76.6	73.7	79.8	66.8	64.1	69.3
18	76.6	73.7	79.7	66.6	63.9	69.2
17	76.6	73.6	79.7	66.4	63.7	69
16	76.5	73.6	79.7	66.3	63.5	68.9
15	76.5	73.6	79.7	66.1	63.4	68.8
14	76.5	73.6	79.7	66	63.2	68.7
13	76.5	73.5	79.6	65.8	63.1	68.5
12	76.5	73.5	79.6	65.7	62.9	68.4
11	76.5	73.5	79.6	65.5	62.8	68.3
10	76.4	73.5	79.6	65.4	62.6	68.2
9	76.4	73.5	79.6	65.2	62.4	68
8	76.4	73.5	79.6	65	62.1	67.8
7	76.4	73.5	79.6	64.7	61.8	67.6
6	76.4	73.5	79.6	64.4	61.5	67.3
5	76.4	73.4	79.6	64	61.1	67
4	76.4	73.4	79.6	63.6	60.6	66.6
3	76.4	73.4	79.5	63.1	60.1	66.1
2	76.3	73.4	79.5	62.5	59.5	65.5
1	76.3	73.3	79.5	61.8	58.9	64.7
0	75.4	72.5	78.6	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 Mauritius can expect to live to 77.2 years compared to 69.1 in South Sudan, rising to 82.4 and 78 at 65, and to 88.5 and 85.6 at 80 — higher than the 75.4 and 58 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Mauritius

Male

Female

South Sudan

Male

Female

1x

Age	Survival probability
	Mauritius			South Sudan
	Average	Male	Female	Average	Male	Female
100	1.64%	0.95%	2.4%	0.06%	0.02%	0.1%
99	2.28%	1.33%	3.29%	0.1%	0.03%	0.17%
98	3.08%	1.83%	4.42%	0.17%	0.05%	0.28%
97	4.08%	2.47%	5.81%	0.27%	0.1%	0.44%
96	5.29%	3.26%	7.46%	0.43%	0.16%	0.67%
95	6.73%	4.23%	9.4%	0.64%	0.27%	1%
94	8.39%	5.38%	11.6%	0.94%	0.44%	1.44%
93	10.3%	6.74%	14.1%	1.35%	0.67%	2.01%
92	12.4%	8.3%	16.8%	1.87%	1%	2.73%
91	14.7%	10.1%	19.8%	2.54%	1.45%	3.62%
90	17.3%	12.1%	23%	3.37%	2.03%	4.7%
89	20.1%	14.3%	26.4%	4.38%	2.76%	5.98%
88	23%	16.7%	29.9%	5.58%	3.65%	7.47%
87	26.1%	19.3%	33.5%	6.96%	4.7%	9.18%
86	29.3%	22%	37.1%	8.54%	5.92%	11.1%
85	32.4%	24.8%	40.6%	10.3%	7.31%	13.2%
84	35.5%	27.6%	44%	12.3%	8.88%	15.6%
83	38.6%	30.4%	47.3%	14.4%	10.6%	18%
82	41.6%	33.3%	50.4%	16.6%	12.5%	20.6%
81	44.5%	36.2%	53.4%	18.9%	14.5%	23.3%
80	47.4%	39.1%	56.3%	21.3%	16.6%	26.1%
79	50.2%	42%	59.1%	23.8%	18.8%	28.8%
78	53%	44.8%	61.8%	26.3%	21%	31.6%
77	55.7%	47.6%	64.4%	28.8%	23.3%	34.3%
76	58.3%	50.4%	66.9%	31.3%	25.6%	36.9%
75	60.7%	53%	69.2%	33.7%	27.9%	39.6%
74	63.1%	55.4%	71.3%	36.2%	30.2%	42.1%
73	65.3%	57.8%	73.4%	38.5%	32.5%	44.6%
72	67.4%	60%	75.3%	40.8%	34.7%	46.9%
71	69.3%	62.2%	77.1%	43%	36.9%	49.2%
70	71.2%	64.3%	78.7%	45.1%	39%	51.3%
69	73%	66.3%	80.3%	47.1%	41%	53.3%
68	74.7%	68.3%	81.7%	49.1%	42.9%	55.2%
67	76.4%	70.2%	83%	50.9%	44.8%	57%
66	77.9%	72%	84.2%	52.6%	46.6%	58.7%
65	79.4%	73.8%	85.3%	54.2%	48.3%	60.2%
64	80.7%	75.4%	86.4%	55.8%	49.9%	61.7%
63	81.9%	77%	87.3%	57.3%	51.5%	63.1%
62	83.1%	78.4%	88.1%	58.6%	53%	64.3%
61	84.2%	79.8%	88.9%	59.9%	54.4%	65.5%
60	85.1%	81%	89.6%	61.1%	55.7%	66.6%
59	86%	82.1%	90.3%	62.3%	57%	67.6%
58	86.9%	83.2%	90.9%	63.3%	58.2%	68.6%
57	87.7%	84.1%	91.5%	64.4%	59.3%	69.5%
56	88.4%	85.1%	92%	65.3%	60.4%	70.3%
55	89.1%	86%	92.5%	66.3%	61.5%	71.1%
54	89.8%	86.8%	93%	67.2%	62.5%	71.9%
53	90.4%	87.7%	93.4%	68%	63.5%	72.7%
52	91%	88.4%	93.8%	68.9%	64.5%	73.4%
51	91.6%	89.2%	94.2%	69.7%	65.4%	74%
50	92.1%	89.9%	94.5%	70.4%	66.3%	74.7%
49	92.6%	90.5%	94.8%	71.1%	67.1%	75.3%
48	93%	91.1%	95.1%	71.8%	67.9%	75.8%
47	93.4%	91.6%	95.4%	72.5%	68.6%	76.4%
46	93.8%	92.1%	95.7%	73.1%	69.4%	76.9%
45	94.2%	92.6%	95.9%	73.7%	70.1%	77.4%
44	94.5%	93%	96.2%	74.3%	70.8%	77.9%
43	94.8%	93.4%	96.4%	74.9%	71.5%	78.4%
42	95.1%	93.7%	96.6%	75.5%	72.1%	78.9%
41	95.4%	94.1%	96.8%	76.1%	72.8%	79.4%
40	95.6%	94.4%	96.9%	76.6%	73.4%	79.9%
39	95.9%	94.7%	97.1%	77.1%	74%	80.3%
38	96.1%	95%	97.2%	77.6%	74.6%	80.8%
37	96.3%	95.3%	97.3%	78.1%	75.2%	81.2%
36	96.5%	95.6%	97.4%	78.6%	75.8%	81.6%
35	96.6%	95.8%	97.5%	79.1%	76.3%	82%
34	96.8%	96%	97.6%	79.6%	76.9%	82.4%
33	96.9%	96.2%	97.7%	80%	77.4%	82.7%
32	97.1%	96.4%	97.8%	80.5%	77.9%	83.1%
31	97.2%	96.6%	97.9%	80.9%	78.5%	83.5%
30	97.3%	96.7%	97.9%	81.4%	79%	83.8%
29	97.5%	96.9%	98%	81.8%	79.5%	84.2%
28	97.6%	97.1%	98.1%	82.2%	80.1%	84.5%
27	97.7%	97.2%	98.2%	82.7%	80.6%	84.9%
26	97.8%	97.3%	98.2%	83.1%	81.1%	85.2%
25	97.9%	97.5%	98.3%	83.5%	81.6%	85.5%
24	98%	97.6%	98.3%	84%	82.2%	85.8%
23	98.1%	97.7%	98.4%	84.4%	82.7%	86.1%
22	98.1%	97.9%	98.4%	84.8%	83.2%	86.4%
21	98.2%	98%	98.5%	85.2%	83.7%	86.7%
20	98.3%	98.1%	98.5%	85.6%	84.2%	87%
19	98.4%	98.2%	98.6%	85.9%	84.7%	87.2%
18	98.4%	98.3%	98.6%	86.2%	85.1%	87.5%
17	98.5%	98.4%	98.6%	86.5%	85.4%	87.7%
16	98.5%	98.4%	98.7%	86.8%	85.7%	87.9%
15	98.6%	98.5%	98.7%	87.1%	86%	88.2%
14	98.6%	98.5%	98.7%	87.3%	86.3%	88.4%
13	98.6%	98.5%	98.7%	87.5%	86.6%	88.5%
12	98.6%	98.5%	98.8%	87.8%	86.8%	88.7%
11	98.7%	98.5%	98.8%	88%	87.1%	88.9%
10	98.7%	98.6%	98.8%	88.3%	87.4%	89.1%
9	98.7%	98.6%	98.8%	88.6%	87.8%	89.4%
8	98.7%	98.6%	98.8%	88.9%	88.2%	89.7%
7	98.7%	98.6%	98.8%	89.3%	88.6%	90%
6	98.7%	98.6%	98.8%	89.8%	89.2%	90.4%
5	98.7%	98.7%	98.8%	90.3%	89.8%	90.9%
4	98.8%	98.7%	98.8%	91%	90.6%	91.5%
3	98.8%	98.7%	98.9%	91.8%	91.4%	92.2%
2	98.8%	98.8%	98.9%	92.7%	92.3%	93.1%
1	98.9%	98.8%	99%	93.8%	93.3%	94.2%

This chart shows the odds of living to each age from birth. 85.1% of newborns in Mauritius and 61.1% in South Sudan are expected to live past 60, 71.2% and 45.1% past 70, 47.4% and 21.3% past 80, and only 17.3% 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

Mauritius

Male

Female

South Sudan

Male

Female

1x

Age	Probability of dying
	Mauritius			South Sudan
	Average	Male	Female	Average	Male	Female
100	29.4%	30.3%	28.9%	45.7%	49.1%	43.1%
99	27.8%	28.8%	27.3%	43.7%	47.1%	41%
98	26.1%	27.3%	25.5%	40.5%	45.5%	39.1%
97	24.5%	25.8%	23.8%	37.7%	43.8%	37.1%
96	22.9%	24.3%	22.2%	35.6%	41.9%	35%
95	21.3%	22.9%	20.6%	33.8%	39.8%	32.8%
94	19.8%	21.5%	19.1%	31.9%	37.5%	30.6%
93	18.4%	20.1%	17.6%	30%	35.2%	28.4%
92	17.1%	18.8%	16.2%	28.1%	33%	26.4%
91	15.9%	17.6%	15%	26.3%	30.8%	24.6%
90	14.8%	16.6%	13.9%	24.6%	28.6%	22.9%
89	13.8%	15.5%	12.8%	23%	26.4%	21.4%
88	12.8%	14.5%	11.8%	21.4%	24.3%	20%
87	11.8%	13.4%	10.7%	19.9%	22.4%	18.6%
86	10.7%	12.3%	9.68%	18.5%	20.6%	17.4%
85	9.72%	11.2%	8.67%	17.1%	19%	16.1%
84	8.77%	10.2%	7.74%	15.9%	17.6%	14.9%
83	7.92%	9.36%	6.92%	14.6%	16.3%	13.7%
82	7.21%	8.61%	6.22%	13.5%	15%	12.6%
81	6.61%	7.96%	5.64%	12.4%	13.8%	11.5%
80	6.1%	7.4%	5.15%	11.3%	12.7%	10.5%
79	5.65%	6.89%	4.73%	10.4%	11.7%	9.54%
78	5.23%	6.39%	4.35%	9.47%	10.7%	8.69%
77	4.83%	5.89%	4%	8.67%	9.8%	7.92%
76	4.43%	5.39%	3.66%	7.94%	9%	7.23%
75	4.04%	4.9%	3.34%	7.29%	8.28%	6.61%
74	3.69%	4.45%	3.04%	6.69%	7.61%	6.05%
73	3.37%	4.06%	2.77%	6.14%	6.99%	5.52%
72	3.09%	3.73%	2.53%	5.62%	6.41%	5.03%
71	2.85%	3.47%	2.31%	5.13%	5.87%	4.58%
70	2.65%	3.25%	2.11%	4.68%	5.37%	4.16%
69	2.47%	3.07%	1.93%	4.26%	4.91%	3.77%
68	2.3%	2.9%	1.76%	3.9%	4.5%	3.43%
67	2.14%	2.73%	1.6%	3.57%	4.14%	3.12%
66	1.97%	2.56%	1.44%	3.28%	3.83%	2.84%
65	1.82%	2.38%	1.3%	3.02%	3.54%	2.6%
64	1.67%	2.2%	1.17%	2.78%	3.28%	2.37%
63	1.52%	2.01%	1.06%	2.56%	3.04%	2.17%
62	1.39%	1.83%	0.96%	2.35%	2.81%	1.97%
61	1.26%	1.66%	0.88%	2.16%	2.59%	1.8%
60	1.15%	1.51%	0.8%	1.98%	2.39%	1.64%
59	1.05%	1.37%	0.74%	1.82%	2.21%	1.5%
58	0.97%	1.26%	0.68%	1.69%	2.06%	1.39%
57	0.9%	1.17%	0.63%	1.58%	1.93%	1.29%
56	0.84%	1.1%	0.58%	1.49%	1.82%	1.21%
55	0.79%	1.04%	0.53%	1.42%	1.73%	1.15%
54	0.74%	0.99%	0.49%	1.35%	1.65%	1.09%
53	0.7%	0.94%	0.45%	1.28%	1.57%	1.03%
52	0.65%	0.89%	0.42%	1.21%	1.49%	0.97%
51	0.61%	0.83%	0.39%	1.14%	1.41%	0.91%
50	0.57%	0.77%	0.36%	1.07%	1.32%	0.85%
49	0.53%	0.71%	0.34%	1%	1.24%	0.79%
48	0.48%	0.64%	0.32%	0.95%	1.17%	0.75%
47	0.45%	0.59%	0.3%	0.9%	1.11%	0.71%
46	0.41%	0.53%	0.28%	0.86%	1.06%	0.69%
45	0.37%	0.48%	0.26%	0.84%	1.02%	0.67%
44	0.34%	0.44%	0.24%	0.81%	0.99%	0.66%
43	0.32%	0.41%	0.22%	0.79%	0.96%	0.64%
42	0.3%	0.39%	0.2%	0.77%	0.92%	0.63%
41	0.28%	0.37%	0.18%	0.74%	0.89%	0.61%
40	0.27%	0.36%	0.16%	0.71%	0.85%	0.58%
39	0.25%	0.34%	0.15%	0.68%	0.82%	0.56%
38	0.23%	0.32%	0.13%	0.65%	0.79%	0.53%
37	0.21%	0.3%	0.12%	0.63%	0.76%	0.51%
36	0.2%	0.27%	0.11%	0.61%	0.74%	0.49%
35	0.18%	0.24%	0.1%	0.6%	0.73%	0.48%
34	0.16%	0.22%	0.1%	0.59%	0.71%	0.47%
33	0.15%	0.2%	0.09%	0.58%	0.7%	0.46%
32	0.14%	0.18%	0.09%	0.57%	0.69%	0.45%
31	0.13%	0.17%	0.08%	0.56%	0.68%	0.44%
30	0.13%	0.17%	0.08%	0.55%	0.67%	0.43%
29	0.12%	0.17%	0.07%	0.54%	0.66%	0.42%
28	0.12%	0.16%	0.07%	0.53%	0.65%	0.41%
27	0.11%	0.16%	0.07%	0.52%	0.65%	0.39%
26	0.11%	0.15%	0.06%	0.52%	0.65%	0.38%
25	0.1%	0.14%	0.06%	0.51%	0.65%	0.37%
24	0.09%	0.13%	0.06%	0.51%	0.65%	0.36%
23	0.09%	0.13%	0.05%	0.5%	0.65%	0.35%
22	0.09%	0.12%	0.05%	0.49%	0.63%	0.34%
21	0.08%	0.12%	0.05%	0.47%	0.61%	0.33%
20	0.08%	0.11%	0.04%	0.44%	0.57%	0.32%
19	0.07%	0.11%	0.04%	0.41%	0.52%	0.3%
18	0.07%	0.09%	0.04%	0.38%	0.47%	0.29%
17	0.06%	0.08%	0.03%	0.35%	0.42%	0.27%
16	0.04%	0.06%	0.03%	0.32%	0.37%	0.26%
15	0.03%	0.04%	0.03%	0.29%	0.34%	0.24%
14	0.03%	0.03%	0.02%	0.27%	0.31%	0.22%
13	0.02%	0.02%	0.02%	0.26%	0.3%	0.22%
12	0.02%	0.02%	0.02%	0.26%	0.3%	0.22%
11	0.02%	0.02%	0.01%	0.27%	0.32%	0.22%
10	0.01%	0.02%	0.01%	0.3%	0.35%	0.24%
9	0.01%	0.02%	0.01%	0.34%	0.4%	0.27%
8	0.01%	0.02%	0.009%	0.39%	0.47%	0.31%
7	0.01%	0.02%	0.01%	0.45%	0.54%	0.36%
6	0.02%	0.02%	0.01%	0.53%	0.63%	0.43%
5	0.02%	0.02%	0.01%	0.62%	0.71%	0.53%
4	0.02%	0.03%	0.02%	0.73%	0.8%	0.65%
3	0.03%	0.04%	0.03%	0.85%	0.9%	0.8%
2	0.04%	0.05%	0.04%	0.99%	0.99%	0.98%
1	0.06%	0.06%	0.06%	1.16%	1.1%	1.22%
0	1.1%	1.18%	1.02%	6.22%	6.67%	5.75%

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

The annual chance of dying is 1.1% in the birth year in Mauritius and 6.22% in South Sudan, 0.13% vs 0.55% at age 30, 1.15% vs 1.98% at 60, and 6.1% vs 11.3% at 80.

Death rate by age in Mauritius vs South Sudan

Chart Table

Mauritius

Male

Female

South Sudan

Male

Female

1x

Age	Death rate
	Mauritius			South Sudan
	Total	Male	Female	Total	Male	Female
100	412	218.2	619	0	0	0
99	632	384	898	44.4	13.7	68.6
98	805	500	1,128	69.1	24.4	107.5
97	999	637	1,383	103.4	41.7	162.1
96	1,212	793	1,656	151.7	68.7	235
95	1,436	967	1,937	217.2	108.2	328
94	1,664	1,155	2,212	301	163.5	440
93	1,890	1,353	2,475	404	237	571
92	2,118	1,561	2,730	527	331	722
91	2,346	1,777	2,974	670	447	890
90	2,569	1,998	3,197	831	582	1,077
89	2,776	2,215	3,387	1,007	729	1,279
88	2,952	2,414	3,526	1,193	887	1,492
87	3,077	2,581	3,596	1,386	1,052	1,712
86	3,142	2,703	3,591	1,579	1,221	1,929
85	3,149	2,783	3,521	1,767	1,392	2,135
84	3,114	2,828	3,408	1,944	1,562	2,321
83	3,056	2,851	3,273	2,103	1,725	2,478
82	2,996	2,867	3,139	2,237	1,874	2,600
81	2,940	2,881	3,015	2,342	2,003	2,685
80	2,890	2,891	2,902	2,417	2,108	2,734
79	2,839	2,890	2,798	2,465	2,188	2,750
78	2,774	2,864	2,691	2,490	2,246	2,742
77	2,689	2,805	2,576	2,497	2,284	2,714
76	2,581	2,712	2,448	2,485	2,305	2,672
75	2,457	2,594	2,311	2,459	2,311	2,615
74	2,326	2,467	2,171	2,419	2,300	2,546
73	2,199	2,346	2,033	2,364	2,272	2,461
72	2,082	2,241	1,902	2,292	2,226	2,363
71	1,979	2,156	1,778	2,207	2,164	2,252
70	1,888	2,089	1,661	2,111	2,091	2,133
69	1,803	2,034	1,548	2,011	2,013	2,011
68	1,718	1,979	1,436	1,911	1,933	1,891
67	1,631	1,917	1,325	1,815	1,855	1,777
66	1,538	1,843	1,215	1,724	1,782	1,668
65	1,442	1,756	1,110	1,636	1,710	1,565
64	1,345	1,658	1,013	1,551	1,639	1,464
63	1,248	1,550	926	1,465	1,565	1,366
62	1,153	1,438	849	1,378	1,488	1,270
61	1,062	1,326	780	1,292	1,409	1,178
60	979	1,221	720	1,210	1,332	1,092
59	906	1,128	667	1,136	1,260	1,015
58	842	1,050	619	1,072	1,197	950
57	788	987	574	1,018	1,145	896
56	742	937	532	976	1,102	853
55	702	896	493	939	1,066	816
54	665	860	457	906	1,033	782
53	630	825	423	872	999	748
52	595	785	393	835	961	711
51	559	740	367	795	919	672
50	523	690	344	753	875	633
49	487	639	323	713	832	596
48	451	587	305	679	794	566
47	416	536	287.2	651	762	543
46	383	488	270.1	631	737	528
45	353	444	252.8	616	717	519
44	326	409	234.6	604	700	512
43	303	382	215.4	593	685	506
42	284	363	195.6	580	667	496
41	267.8	349	176	564	648	483
40	253.6	338	157.6	545	628	467
39	239.3	325	141.2	526	608	449
38	223.8	309	127.2	508	590	431
37	206.5	286.3	115.8	493	575	415
36	188.4	260.4	106.8	481	563	402
35	171.2	234.3	100	473	555	392
34	156.2	210.8	94.6	466	549	384
33	143.9	191.6	90.3	461	544	377
32	134.4	177.6	86.1	456	538	372
31	127.5	168.4	81.9	451	533	366
30	122.5	163.2	77.6	446	527	359
29	118.8	160.3	73.4	440	523	352
28	114.9	156.9	69.4	436	522	344
27	110.1	151.8	65.6	432	523	335
26	104.4	144.4	62.1	429	527	325
25	98.4	136.3	58.9	427	532	316
24	93	129.1	55.7	424	536	307
23	88.5	123.8	52.6	420	535	298.4
22	84.9	119.8	49.5	412	527	290.7
21	81.5	116.5	46.6	398	508	283.3
20	77.9	112.4	43.7	379	478	275.1
19	72.8	105.4	40.9	354	439	265.4
18	64.9	92.8	37.8	327	397	253.5
17	54.6	75.7	34.3	299.3	357	239.3
16	43.5	57.1	30.5	273.6	321	224.4
15	34	41.5	26.7	251.3	290.8	210.1
14	26.6	30.1	23.2	235.1	270	198.7
13	21.4	22.9	19.9	226.8	260.1	192
12	17.6	18.5	16.7	227.9	262.8	191.3
11	14.9	16.1	13.7	239.4	279	198.2
10	13.2	15	11.3	262	309	213.5
9	12.4	15	9.77	296.8	353	238.8
8	12.5	15.9	9.22	344	411	275.7
7	13.5	17.5	9.59	404	480	326
6	15.4	20.1	11	477	558	393
5	18.5	23.7	13.7	561	641	479
4	23.5	28.7	18.4	660	727	591
3	31.1	35.7	26.4	776	818	733
2	42.9	45.6	40.1	915	916	915
1	61.6	59.5	63.9	1,086	1,027	1,147
0	1,101	1,178	1,021	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 Mauritius, the most common age of death is 85, compared to 0 in South Sudan. The median age of death is 79.1 in Mauritius 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 Mauritius and South Sudan more than their death rates.

Life expectancy in other countries

+ -

1x