Life Expectancy in Mauritius vs Zimbabwe (1950-2026)

Life expectancy by current age

Chart Table

Mauritius

Male

Female

Zimbabwe

Male

Female

1x

Current age, years	Total life expectancy, years
	Mauritius			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	102.6	102.3	102.7	102.2	101.9	102.2
99	101.7	101.5	101.8	101.2	101	101.3
98	100.9	100.7	101	100.4	100.1	100.4
97	100.1	99.9	100.1	99.5	99.2	99.5
96	99.2	99.1	99.3	98.6	98.4	98.7
95	98.4	98.2	98.5	97.7	97.5	97.8
94	97.7	97.4	97.8	96.9	96.6	97
93	96.9	96.6	97	96	95.7	96.1
92	96.1	95.9	96.3	95.2	94.9	95.3
91	95.4	95.1	95.6	94.4	94	94.5
90	94.7	94.3	94.9	93.6	93.2	93.8
89	94	93.6	94.2	92.8	92.4	93
88	93.3	92.9	93.5	92	91.6	92.2
87	92.6	92.1	92.9	91.2	90.8	91.5
86	91.9	91.4	92.2	90.5	90	90.8
85	91.3	90.8	91.7	89.8	89.2	90.1
84	90.7	90.1	91.1	89	88.4	89.4
83	90.1	89.5	90.6	88.4	87.7	88.7
82	89.6	88.9	90.1	87.7	87	88.1
81	89.1	88.3	89.6	87	86.3	87.5
80	88.5	87.7	89.1	86.4	85.6	86.9
79	88	87.2	88.7	85.8	84.9	86.3
78	87.5	86.6	88.2	85.1	84.2	85.7
77	87	86.1	87.8	84.5	83.6	85.2
76	86.6	85.6	87.4	83.9	83	84.6
75	86.1	85.1	87	83.4	82.3	84.1
74	85.7	84.6	86.6	82.8	81.7	83.5
73	85.3	84.2	86.2	82.2	81.2	83
72	84.9	83.7	85.9	81.7	80.6	82.5
71	84.5	83.3	85.6	81.2	80	82.1
70	84.1	82.9	85.2	80.7	79.5	81.6
69	83.8	82.5	84.9	80.2	79	81.1
68	83.4	82.1	84.7	79.7	78.4	80.7
67	83.1	81.7	84.4	79.2	77.9	80.2
66	82.8	81.3	84.1	78.8	77.5	79.8
65	82.4	80.9	83.9	78.3	77	79.4
64	82.1	80.5	83.7	77.9	76.5	79
63	81.9	80.2	83.4	77.5	76.1	78.6
62	81.6	79.9	83.2	77.1	75.6	78.2
61	81.3	79.6	83	76.7	75.2	77.9
60	81.1	79.3	82.9	76.3	74.8	77.5
59	80.9	79	82.7	75.9	74.4	77.2
58	80.7	78.7	82.5	75.6	74	76.9
57	80.4	78.5	82.4	75.2	73.6	76.6
56	80.2	78.3	82.2	74.9	73.2	76.3
55	80	78	82.1	74.6	72.8	76
54	79.9	77.8	81.9	74.2	72.5	75.7
53	79.7	77.6	81.8	73.9	72.1	75.4
52	79.5	77.3	81.7	73.6	71.8	75.1
51	79.3	77.1	81.6	73.3	71.4	74.8
50	79.2	76.9	81.5	73	71.1	74.6
49	79	76.7	81.4	72.7	70.8	74.3
48	78.9	76.5	81.2	72.5	70.5	74
47	78.7	76.4	81.1	72.2	70.2	73.8
46	78.6	76.2	81	71.9	69.9	73.6
45	78.5	76.1	81	71.7	69.6	73.3
44	78.3	75.9	80.9	71.4	69.3	73.1
43	78.2	75.8	80.8	71.2	69	72.9
42	78.1	75.7	80.7	70.9	68.7	72.7
41	78	75.5	80.6	70.7	68.5	72.5
40	77.9	75.4	80.6	70.5	68.2	72.2
39	77.8	75.3	80.5	70.2	68	72
38	77.7	75.2	80.5	70	67.8	71.9
37	77.7	75.1	80.4	69.8	67.5	71.7
36	77.6	75	80.4	69.6	67.3	71.5
35	77.5	74.9	80.3	69.4	67.1	71.3
34	77.4	74.8	80.3	69.2	66.9	71.1
33	77.4	74.7	80.2	69	66.7	71
32	77.3	74.6	80.2	68.9	66.5	70.8
31	77.2	74.5	80.1	68.7	66.3	70.6
30	77.2	74.5	80.1	68.5	66.2	70.5
29	77.1	74.4	80.1	68.4	66	70.4
28	77.1	74.3	80	68.2	65.8	70.2
27	77	74.2	80	68.1	65.7	70.1
26	77	74.2	80	68	65.5	70
25	76.9	74.1	79.9	67.8	65.4	69.8
24	76.9	74	79.9	67.7	65.3	69.7
23	76.8	74	79.9	67.6	65.1	69.6
22	76.8	73.9	79.8	67.5	65	69.5
21	76.7	73.8	79.8	67.4	64.9	69.4
20	76.7	73.8	79.8	67.3	64.8	69.3
19	76.6	73.7	79.8	67.2	64.7	69.3
18	76.6	73.7	79.7	67.1	64.6	69.2
17	76.6	73.6	79.7	67	64.5	69.1
16	76.5	73.6	79.7	67	64.4	69.1
15	76.5	73.6	79.7	66.9	64.4	69
14	76.5	73.6	79.7	66.8	64.3	69
13	76.5	73.5	79.6	66.8	64.3	68.9
12	76.5	73.5	79.6	66.8	64.2	68.9
11	76.5	73.5	79.6	66.7	64.2	68.8
10	76.4	73.5	79.6	66.7	64.2	68.8
9	76.4	73.5	79.6	66.6	64.1	68.8
8	76.4	73.5	79.6	66.6	64.1	68.7
7	76.4	73.5	79.6	66.5	64	68.7
6	76.4	73.5	79.6	66.5	64	68.6
5	76.4	73.4	79.6	66.4	63.9	68.5
4	76.4	73.4	79.6	66.3	63.8	68.4
3	76.4	73.4	79.5	66.2	63.6	68.3
2	76.3	73.4	79.5	66	63.5	68.1
1	76.3	73.3	79.5	65.6	63.2	67.7
0	75.4	72.5	78.6	63.6	61	65.9

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 68.5 in Zimbabwe, rising to 82.4 and 78.3 at 65, and to 88.5 and 86.4 at 80 — higher than the 75.4 and 63.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Mauritius

Male

Female

Zimbabwe

Male

Female

1x

Age	Survival probability
	Mauritius			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	1.64%	0.95%	2.4%	0.2%	0.07%	0.33%
99	2.28%	1.33%	3.29%	0.31%	0.12%	0.5%
98	3.08%	1.83%	4.42%	0.46%	0.18%	0.73%
97	4.08%	2.47%	5.81%	0.66%	0.27%	1.05%
96	5.29%	3.26%	7.46%	0.94%	0.4%	1.47%
95	6.73%	4.23%	9.4%	1.3%	0.59%	2.02%
94	8.39%	5.38%	11.6%	1.77%	0.83%	2.71%
93	10.3%	6.74%	14.1%	2.36%	1.15%	3.55%
92	12.4%	8.3%	16.8%	3.08%	1.57%	4.57%
91	14.7%	10.1%	19.8%	3.95%	2.09%	5.75%
90	17.3%	12.1%	23%	4.99%	2.73%	7.15%
89	20.1%	14.3%	26.4%	6.18%	3.51%	8.72%
88	23%	16.7%	29.9%	7.56%	4.44%	10.5%
87	26.1%	19.3%	33.5%	9.1%	5.53%	12.4%
86	29.3%	22%	37.1%	10.8%	6.78%	14.5%
85	32.4%	24.8%	40.6%	12.7%	8.2%	16.8%
84	35.5%	27.6%	44%	14.7%	9.78%	19.1%
83	38.6%	30.4%	47.3%	16.8%	11.5%	21.5%
82	41.6%	33.3%	50.4%	19%	13.4%	24%
81	44.5%	36.2%	53.4%	21.2%	15.4%	26.4%
80	47.4%	39.1%	56.3%	23.5%	17.5%	28.8%
79	50.2%	42%	59.1%	25.9%	19.7%	31.3%
78	53%	44.8%	61.8%	28.3%	21.9%	33.8%
77	55.7%	47.6%	64.4%	30.7%	24.3%	36.3%
76	58.3%	50.4%	66.9%	33.2%	26.6%	38.7%
75	60.7%	53%	69.2%	35.6%	29%	41.2%
74	63.1%	55.4%	71.3%	38%	31.4%	43.6%
73	65.3%	57.8%	73.4%	40.4%	33.9%	45.9%
72	67.4%	60%	75.3%	42.8%	36.3%	48.2%
71	69.3%	62.2%	77.1%	45.1%	38.6%	50.4%
70	71.2%	64.3%	78.7%	47.3%	40.9%	52.6%
69	73%	66.3%	80.3%	49.5%	43.2%	54.7%
68	74.7%	68.3%	81.7%	51.6%	45.4%	56.7%
67	76.4%	70.2%	83%	53.6%	47.6%	58.6%
66	77.9%	72%	84.2%	55.6%	49.7%	60.5%
65	79.4%	73.8%	85.3%	57.6%	51.8%	62.3%
64	80.7%	75.4%	86.4%	59.5%	53.8%	64%
63	81.9%	77%	87.3%	61.2%	55.8%	65.7%
62	83.1%	78.4%	88.1%	63%	57.7%	67.2%
61	84.2%	79.8%	88.9%	64.6%	59.5%	68.7%
60	85.1%	81%	89.6%	66.2%	61.2%	70.1%
59	86%	82.1%	90.3%	67.6%	62.9%	71.4%
58	86.9%	83.2%	90.9%	69.1%	64.5%	72.7%
57	87.7%	84.1%	91.5%	70.4%	66%	73.9%
56	88.4%	85.1%	92%	71.7%	67.5%	75%
55	89.1%	86%	92.5%	72.9%	69%	76.1%
54	89.8%	86.8%	93%	74.1%	70.3%	77.2%
53	90.4%	87.7%	93.4%	75.2%	71.7%	78.2%
52	91%	88.4%	93.8%	76.3%	73%	79.1%
51	91.6%	89.2%	94.2%	77.4%	74.2%	80.1%
50	92.1%	89.9%	94.5%	78.4%	75.4%	81%
49	92.6%	90.5%	94.8%	79.4%	76.6%	81.8%
48	93%	91.1%	95.1%	80.3%	77.7%	82.6%
47	93.4%	91.6%	95.4%	81.2%	78.7%	83.4%
46	93.8%	92.1%	95.7%	82%	79.7%	84.1%
45	94.2%	92.6%	95.9%	82.9%	80.7%	84.8%
44	94.5%	93%	96.2%	83.6%	81.6%	85.5%
43	94.8%	93.4%	96.4%	84.4%	82.5%	86.1%
42	95.1%	93.7%	96.6%	85.1%	83.3%	86.7%
41	95.4%	94.1%	96.8%	85.8%	84.1%	87.3%
40	95.6%	94.4%	96.9%	86.4%	84.9%	87.9%
39	95.9%	94.7%	97.1%	87.1%	85.6%	88.4%
38	96.1%	95%	97.2%	87.7%	86.3%	89%
37	96.3%	95.3%	97.3%	88.2%	86.9%	89.5%
36	96.5%	95.6%	97.4%	88.8%	87.5%	89.9%
35	96.6%	95.8%	97.5%	89.3%	88.1%	90.4%
34	96.8%	96%	97.6%	89.8%	88.7%	90.8%
33	96.9%	96.2%	97.7%	90.2%	89.2%	91.2%
32	97.1%	96.4%	97.8%	90.7%	89.7%	91.6%
31	97.2%	96.6%	97.9%	91.1%	90.1%	91.9%
30	97.3%	96.7%	97.9%	91.4%	90.6%	92.3%
29	97.5%	96.9%	98%	91.8%	91%	92.6%
28	97.6%	97.1%	98.1%	92.1%	91.4%	92.9%
27	97.7%	97.2%	98.2%	92.5%	91.7%	93.2%
26	97.8%	97.3%	98.2%	92.8%	92.1%	93.5%
25	97.9%	97.5%	98.3%	93.1%	92.4%	93.7%
24	98%	97.6%	98.3%	93.3%	92.7%	93.9%
23	98.1%	97.7%	98.4%	93.6%	93%	94.2%
22	98.1%	97.9%	98.4%	93.8%	93.3%	94.4%
21	98.2%	98%	98.5%	94%	93.5%	94.5%
20	98.3%	98.1%	98.5%	94.2%	93.8%	94.7%
19	98.4%	98.2%	98.6%	94.4%	94%	94.9%
18	98.4%	98.3%	98.6%	94.6%	94.2%	95%
17	98.5%	98.4%	98.6%	94.7%	94.3%	95.1%
16	98.5%	98.4%	98.7%	94.8%	94.5%	95.2%
15	98.6%	98.5%	98.7%	94.9%	94.6%	95.3%
14	98.6%	98.5%	98.7%	95%	94.7%	95.4%
13	98.6%	98.5%	98.7%	95.1%	94.8%	95.5%
12	98.6%	98.5%	98.8%	95.2%	94.8%	95.6%
11	98.7%	98.5%	98.8%	95.3%	94.9%	95.6%
10	98.7%	98.6%	98.8%	95.3%	95%	95.7%
9	98.7%	98.6%	98.8%	95.4%	95.1%	95.8%
8	98.7%	98.6%	98.8%	95.5%	95.1%	95.8%
7	98.7%	98.6%	98.8%	95.6%	95.2%	95.9%
6	98.7%	98.6%	98.8%	95.7%	95.3%	96%
5	98.7%	98.7%	98.8%	95.8%	95.5%	96.1%
4	98.8%	98.7%	98.8%	95.9%	95.6%	96.3%
3	98.8%	98.7%	98.9%	96.2%	95.8%	96.5%
2	98.8%	98.8%	98.9%	96.5%	96.1%	96.8%
1	98.9%	98.8%	99%	96.9%	96.6%	97.3%

This chart shows the odds of living to each age from birth. 85.1% of newborns in Mauritius and 66.2% in Zimbabwe are expected to live past 60, 71.2% and 47.3% past 70, 47.4% and 23.5% past 80, and only 17.3% and 4.99% 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

Zimbabwe

Male

Female

1x

Age	Probability of dying
	Mauritius			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	29.4%	30.3%	28.9%	35.7%	38.2%	35%
99	27.8%	28.8%	27.3%	34.3%	36.9%	33.6%
98	26.1%	27.3%	25.5%	32.4%	35.2%	31.7%
97	24.5%	25.8%	23.8%	31.1%	33.9%	30.2%
96	22.9%	24.3%	22.2%	29.6%	32.5%	28.7%
95	21.3%	22.9%	20.6%	28.1%	31%	27.1%
94	19.8%	21.5%	19.1%	26.4%	29.5%	25.4%
93	18.4%	20.1%	17.6%	24.9%	27.9%	23.7%
92	17.1%	18.8%	16.2%	23.5%	26.4%	22.2%
91	15.9%	17.6%	15%	21.9%	24.9%	20.6%
90	14.8%	16.6%	13.9%	20.9%	23.7%	19.6%
89	13.8%	15.5%	12.8%	19.3%	22.2%	18%
88	12.8%	14.5%	11.8%	18.2%	20.9%	16.8%
87	11.8%	13.4%	10.7%	16.9%	19.7%	15.6%
86	10.7%	12.3%	9.68%	15.8%	18.5%	14.5%
85	9.72%	11.2%	8.67%	14.7%	17.3%	13.3%
84	8.77%	10.2%	7.74%	13.6%	16.2%	12.3%
83	7.92%	9.36%	6.92%	12.5%	15%	11.2%
82	7.21%	8.61%	6.22%	11.6%	14%	10.2%
81	6.61%	7.96%	5.64%	10.5%	12.9%	9.17%
80	6.1%	7.4%	5.15%	9.89%	12.1%	8.58%
79	5.65%	6.89%	4.73%	9.11%	11.1%	7.87%
78	5.23%	6.39%	4.35%	8.54%	10.4%	7.38%
77	4.83%	5.89%	4%	7.89%	9.57%	6.81%
76	4.43%	5.39%	3.66%	7.37%	8.9%	6.37%
75	4.04%	4.9%	3.34%	6.87%	8.28%	5.94%
74	3.69%	4.45%	3.04%	6.38%	7.68%	5.51%
73	3.37%	4.06%	2.77%	5.92%	7.12%	5.11%
72	3.09%	3.73%	2.53%	5.51%	6.62%	4.76%
71	2.85%	3.47%	2.31%	5.06%	6.09%	4.37%
70	2.65%	3.25%	2.11%	4.75%	5.7%	4.11%
69	2.47%	3.07%	1.93%	4.38%	5.25%	3.78%
68	2.3%	2.9%	1.76%	4.09%	4.9%	3.54%
67	2.14%	2.73%	1.6%	3.82%	4.56%	3.31%
66	1.97%	2.56%	1.44%	3.58%	4.26%	3.1%
65	1.82%	2.38%	1.3%	3.38%	4.01%	2.93%
64	1.67%	2.2%	1.17%	3.14%	3.74%	2.7%
63	1.52%	2.01%	1.06%	2.92%	3.5%	2.49%
62	1.39%	1.83%	0.96%	2.73%	3.28%	2.31%
61	1.26%	1.66%	0.88%	2.53%	3.04%	2.13%
60	1.15%	1.51%	0.8%	2.37%	2.87%	1.99%
59	1.05%	1.37%	0.74%	2.19%	2.65%	1.85%
58	0.97%	1.26%	0.68%	2.04%	2.48%	1.73%
57	0.9%	1.17%	0.63%	1.91%	2.33%	1.62%
56	0.84%	1.1%	0.58%	1.79%	2.2%	1.53%
55	0.79%	1.04%	0.53%	1.69%	2.09%	1.44%
54	0.74%	0.99%	0.49%	1.6%	1.97%	1.36%
53	0.7%	0.94%	0.45%	1.52%	1.87%	1.29%
52	0.65%	0.89%	0.42%	1.44%	1.78%	1.23%
51	0.61%	0.83%	0.39%	1.36%	1.68%	1.15%
50	0.57%	0.77%	0.36%	1.3%	1.6%	1.1%
49	0.53%	0.71%	0.34%	1.22%	1.5%	1.03%
48	0.48%	0.64%	0.32%	1.16%	1.41%	0.98%
47	0.45%	0.59%	0.3%	1.09%	1.33%	0.92%
46	0.41%	0.53%	0.28%	1.04%	1.25%	0.87%
45	0.37%	0.48%	0.26%	0.99%	1.19%	0.83%
44	0.34%	0.44%	0.24%	0.93%	1.12%	0.78%
43	0.32%	0.41%	0.22%	0.89%	1.06%	0.75%
42	0.3%	0.39%	0.2%	0.84%	1%	0.71%
41	0.28%	0.37%	0.18%	0.8%	0.95%	0.68%
40	0.27%	0.36%	0.16%	0.76%	0.9%	0.65%
39	0.25%	0.34%	0.15%	0.72%	0.85%	0.62%
38	0.23%	0.32%	0.13%	0.68%	0.8%	0.59%
37	0.21%	0.3%	0.12%	0.64%	0.75%	0.55%
36	0.2%	0.27%	0.11%	0.61%	0.71%	0.53%
35	0.18%	0.24%	0.1%	0.57%	0.66%	0.5%
34	0.16%	0.22%	0.1%	0.54%	0.62%	0.47%
33	0.15%	0.2%	0.09%	0.5%	0.58%	0.44%
32	0.14%	0.18%	0.09%	0.47%	0.54%	0.41%
31	0.13%	0.17%	0.08%	0.44%	0.51%	0.39%
30	0.13%	0.17%	0.08%	0.42%	0.48%	0.37%
29	0.12%	0.17%	0.07%	0.4%	0.45%	0.35%
28	0.12%	0.16%	0.07%	0.37%	0.42%	0.33%
27	0.11%	0.16%	0.07%	0.35%	0.4%	0.31%
26	0.11%	0.15%	0.06%	0.33%	0.37%	0.29%
25	0.1%	0.14%	0.06%	0.31%	0.35%	0.26%
24	0.09%	0.13%	0.06%	0.29%	0.33%	0.25%
23	0.09%	0.13%	0.05%	0.27%	0.31%	0.23%
22	0.09%	0.12%	0.05%	0.25%	0.29%	0.21%
21	0.08%	0.12%	0.05%	0.23%	0.27%	0.19%
20	0.08%	0.11%	0.04%	0.21%	0.25%	0.18%
19	0.07%	0.11%	0.04%	0.19%	0.22%	0.16%
18	0.07%	0.09%	0.04%	0.17%	0.2%	0.15%
17	0.06%	0.08%	0.03%	0.15%	0.17%	0.13%
16	0.04%	0.06%	0.03%	0.13%	0.14%	0.12%
15	0.03%	0.04%	0.03%	0.11%	0.12%	0.1%
14	0.03%	0.03%	0.02%	0.1%	0.1%	0.09%
13	0.02%	0.02%	0.02%	0.08%	0.09%	0.08%
12	0.02%	0.02%	0.02%	0.08%	0.08%	0.07%
11	0.02%	0.02%	0.01%	0.07%	0.08%	0.07%
10	0.01%	0.02%	0.01%	0.07%	0.08%	0.07%
9	0.01%	0.02%	0.01%	0.08%	0.08%	0.07%
8	0.01%	0.02%	0.009%	0.08%	0.09%	0.08%
7	0.01%	0.02%	0.01%	0.09%	0.1%	0.09%
6	0.02%	0.02%	0.01%	0.1%	0.11%	0.1%
5	0.02%	0.02%	0.01%	0.12%	0.13%	0.12%
4	0.02%	0.03%	0.02%	0.16%	0.17%	0.16%
3	0.03%	0.04%	0.03%	0.22%	0.22%	0.22%
2	0.04%	0.05%	0.04%	0.32%	0.32%	0.32%
1	0.06%	0.06%	0.06%	0.5%	0.48%	0.52%
0	1.1%	1.18%	1.02%	3.05%	3.4%	2.7%

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

The annual chance of dying is 1.1% in the birth year in Mauritius and 3.05% in Zimbabwe, 0.13% vs 0.42% at age 30, 1.15% vs 2.37% at 60, and 6.1% vs 9.89% at 80.

Death rate by age in Mauritius vs Zimbabwe

Chart Table

Mauritius

Male

Female

Zimbabwe

Male

Female

1x

Age	Death rate
	Mauritius			Zimbabwe
	Total	Male	Female	Total	Male	Female
100	412	218.2	619	24.9	0	53
99	632	384	898	105.4	43.2	168.4
98	805	500	1,128	147.6	63.5	232.4
97	999	637	1,383	205	92.4	318
96	1,212	793	1,656	277.6	131.3	423
95	1,436	967	1,937	366	181.8	548
94	1,664	1,155	2,212	469	244.7	687
93	1,890	1,353	2,475	588	322	843
92	2,118	1,561	2,730	724	414	1,016
91	2,346	1,777	2,974	863	518	1,184
90	2,569	1,998	3,197	1,040	647	1,401
89	2,776	2,215	3,387	1,196	779	1,570
88	2,952	2,414	3,526	1,372	930	1,762
87	3,077	2,581	3,596	1,540	1,088	1,934
86	3,142	2,703	3,591	1,709	1,253	2,102
85	3,149	2,783	3,521	1,858	1,418	2,232
84	3,114	2,828	3,408	1,999	1,583	2,345
83	3,056	2,851	3,273	2,102	1,730	2,403
82	2,996	2,867	3,139	2,197	1,873	2,450
81	2,940	2,881	3,015	2,235	1,982	2,419
80	2,890	2,891	2,902	2,328	2,113	2,474
79	2,839	2,890	2,798	2,358	2,186	2,465
78	2,774	2,864	2,691	2,416	2,272	2,497
77	2,689	2,805	2,576	2,424	2,321	2,470
76	2,581	2,712	2,448	2,444	2,370	2,468
75	2,457	2,594	2,311	2,448	2,404	2,446
74	2,326	2,467	2,171	2,427	2,414	2,401
73	2,199	2,346	2,033	2,393	2,412	2,346
72	2,082	2,241	1,902	2,356	2,400	2,294
71	1,979	2,156	1,778	2,281	2,352	2,203
70	1,888	2,089	1,661	2,250	2,336	2,164
69	1,803	2,034	1,548	2,166	2,269	2,069
68	1,718	1,979	1,436	2,111	2,224	2,007
67	1,631	1,917	1,325	2,050	2,172	1,938
66	1,538	1,843	1,215	1,993	2,121	1,875
65	1,442	1,756	1,110	1,945	2,075	1,824
64	1,345	1,658	1,013	1,866	2,014	1,726
63	1,248	1,550	926	1,790	1,952	1,636
62	1,153	1,438	849	1,718	1,890	1,553
61	1,062	1,326	780	1,632	1,809	1,463
60	979	1,221	720	1,571	1,756	1,398
59	906	1,128	667	1,481	1,664	1,318
58	842	1,050	619	1,411	1,599	1,257
57	788	987	574	1,341	1,537	1,197
56	742	937	532	1,284	1,485	1,146
55	702	896	493	1,233	1,440	1,097
54	665	860	457	1,184	1,389	1,052
53	630	825	423	1,140	1,342	1,009
52	595	785	393	1,100	1,298	971
51	559	740	367	1,050	1,245	925
50	523	690	344	1,018	1,207	892
49	487	639	323	969	1,146	846
48	451	587	305	929	1,096	806
47	416	536	287.2	888	1,046	766
46	383	488	270.1	850	1,000	731
45	353	444	252.8	816	958	702
44	326	409	234.6	779	911	669
43	303	382	215.4	747	871	642
42	284	363	195.6	717	834	617
41	267.8	349	176	685	795	592
40	253.6	338	157.6	659	766	571
39	239.3	325	141.2	627	725	545
38	223.8	309	127.2	599	691	522
37	206.5	286.3	115.8	568	655	496
36	188.4	260.4	106.8	539	619	473
35	171.2	234.3	100	512	586	450
34	156.2	210.8	94.6	481	550	423
33	143.9	191.6	90.3	453	517	400
32	134.4	177.6	86.1	428	487	379
31	127.5	168.4	81.9	403	458	356
30	122.5	163.2	77.6	385	436	341
29	118.8	160.3	73.4	363	409	323
28	114.9	156.9	69.4	343	387	303
27	110.1	151.8	65.6	324	365	286.2
26	104.4	144.4	62.1	304	344	267.1
25	98.4	136.3	58.9	286.4	326	248.2
24	93	129.1	55.7	268.5	307	231.1
23	88.5	123.8	52.6	251.5	289	214.4
22	84.9	119.8	49.5	234.1	270.1	198.3
21	81.5	116.5	46.6	216.1	249.9	182.2
20	77.9	112.4	43.7	200.4	229.9	170.6
19	72.8	105.4	40.9	182.4	209.2	155.3
18	64.9	92.8	37.8	164.9	188.9	140.6
17	54.6	75.7	34.3	143.2	161.3	124.9
16	43.5	57.1	30.5	122.8	135.4	110
15	34	41.5	26.7	106.1	114.9	97.1
14	26.6	30.1	23.2	90.9	97.8	83.9
13	21.4	22.9	19.9	80.4	85.9	74.8
12	17.6	18.5	16.7	73.9	79.4	68.4
11	14.9	16.1	13.7	70.9	76.1	65.5
10	13.2	15	11.3	70.4	74.5	66.2
9	12.4	15	9.77	72.9	76.9	68.8
8	12.5	15.9	9.22	78.6	83.3	73.8
7	13.5	17.5	9.59	87.5	92.4	82.5
6	15.4	20.1	11	98.5	103	94
5	18.5	23.7	13.7	116.6	119.9	113.1
4	23.5	28.7	18.4	153.9	157.9	149.8
3	31.1	35.7	26.4	211.7	213.4	209.9
2	42.9	45.6	40.1	308	305	311
1	61.6	59.5	63.9	484	463	505
0	1,101	1,178	1,021	3,053	3,402	2,699

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 Zimbabwe. The median age of death is 79.1 in Mauritius and 68.8 in Zimbabwe, 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 Zimbabwe more than their death rates.

Life expectancy in other countries

+ -

1x