Life Expectancy in Mauritius vs Tanzania (1950-2026)

Life expectancy by current age

Chart Table

Mauritius

Male

Female

Tanzania

Male

Female

1x

Current age, years	Total life expectancy, years
	Mauritius			Tanzania
	Average	Male	Female	Average	Male	Female
100	102.6	102.3	102.7	102.5	101.9	102.6
99	101.7	101.5	101.8	101.7	101	101.7
98	100.9	100.7	101	100.8	100.1	100.9
97	100.1	99.9	100.1	100	99.2	100.1
96	99.2	99.1	99.3	99.1	98.4	99.3
95	98.4	98.2	98.5	98.3	97.5	98.4
94	97.7	97.4	97.8	97.4	96.6	97.7
93	96.9	96.6	97	96.6	95.8	96.9
92	96.1	95.9	96.3	95.8	94.9	96.1
91	95.4	95.1	95.6	95.1	94.1	95.4
90	94.7	94.3	94.9	94.3	93.3	94.6
89	94	93.6	94.2	93.5	92.5	93.9
88	93.3	92.9	93.5	92.7	91.7	93.2
87	92.6	92.1	92.9	92	90.9	92.5
86	91.9	91.4	92.2	91.3	90.1	91.9
85	91.3	90.8	91.7	90.6	89.4	91.2
84	90.7	90.1	91.1	89.9	88.7	90.6
83	90.1	89.5	90.6	89.2	88	90
82	89.6	88.9	90.1	88.6	87.3	89.4
81	89.1	88.3	89.6	87.9	86.6	88.9
80	88.5	87.7	89.1	87.3	86	88.3
79	88	87.2	88.7	86.8	85.3	87.8
78	87.5	86.6	88.2	86.2	84.7	87.3
77	87	86.1	87.8	85.6	84.1	86.8
76	86.6	85.6	87.4	85.1	83.5	86.3
75	86.1	85.1	87	84.5	83	85.8
74	85.7	84.6	86.6	84	82.4	85.3
73	85.3	84.2	86.2	83.5	81.9	84.8
72	84.9	83.7	85.9	83	81.4	84.3
71	84.5	83.3	85.6	82.5	80.9	83.9
70	84.1	82.9	85.2	82.1	80.4	83.4
69	83.8	82.5	84.9	81.6	79.9	83
68	83.4	82.1	84.7	81.2	79.4	82.6
67	83.1	81.7	84.4	80.7	79	82.2
66	82.8	81.3	84.1	80.3	78.5	81.8
65	82.4	80.9	83.9	79.9	78.1	81.4
64	82.1	80.5	83.7	79.5	77.6	81
63	81.9	80.2	83.4	79.1	77.2	80.7
62	81.6	79.9	83.2	78.7	76.8	80.3
61	81.3	79.6	83	78.4	76.4	80
60	81.1	79.3	82.9	78	76.1	79.7
59	80.9	79	82.7	77.7	75.7	79.4
58	80.7	78.7	82.5	77.4	75.4	79.1
57	80.4	78.5	82.4	77.1	75	78.9
56	80.2	78.3	82.2	76.8	74.7	78.6
55	80	78	82.1	76.5	74.4	78.3
54	79.9	77.8	81.9	76.2	74.1	78.1
53	79.7	77.6	81.8	75.9	73.8	77.9
52	79.5	77.3	81.7	75.7	73.5	77.6
51	79.3	77.1	81.6	75.4	73.3	77.4
50	79.2	76.9	81.5	75.2	73	77.2
49	79	76.7	81.4	75	72.7	77
48	78.9	76.5	81.2	74.7	72.5	76.8
47	78.7	76.4	81.1	74.5	72.3	76.6
46	78.6	76.2	81	74.3	72	76.5
45	78.5	76.1	81	74.1	71.8	76.3
44	78.3	75.9	80.9	73.9	71.6	76.1
43	78.2	75.8	80.8	73.8	71.4	76
42	78.1	75.7	80.7	73.6	71.2	75.8
41	78	75.5	80.6	73.4	71	75.6
40	77.9	75.4	80.6	73.2	70.8	75.5
39	77.8	75.3	80.5	73.1	70.7	75.4
38	77.7	75.2	80.5	72.9	70.5	75.2
37	77.7	75.1	80.4	72.8	70.3	75.1
36	77.6	75	80.4	72.6	70.2	75
35	77.5	74.9	80.3	72.5	70	74.8
34	77.4	74.8	80.3	72.4	69.9	74.7
33	77.4	74.7	80.2	72.2	69.7	74.6
32	77.3	74.6	80.2	72.1	69.6	74.5
31	77.2	74.5	80.1	72	69.5	74.4
30	77.2	74.5	80.1	71.9	69.3	74.3
29	77.1	74.4	80.1	71.8	69.2	74.2
28	77.1	74.3	80	71.7	69.1	74.1
27	77	74.2	80	71.6	69	74
26	77	74.2	80	71.4	68.9	73.9
25	76.9	74.1	79.9	71.4	68.7	73.9
24	76.9	74	79.9	71.3	68.6	73.8
23	76.8	74	79.9	71.2	68.5	73.7
22	76.8	73.9	79.8	71.1	68.4	73.6
21	76.7	73.8	79.8	71	68.3	73.6
20	76.7	73.8	79.8	70.9	68.2	73.5
19	76.6	73.7	79.8	70.8	68.1	73.4
18	76.6	73.7	79.7	70.8	68.1	73.4
17	76.6	73.6	79.7	70.7	68	73.3
16	76.5	73.6	79.7	70.6	67.9	73.3
15	76.5	73.6	79.7	70.6	67.9	73.2
14	76.5	73.6	79.7	70.5	67.8	73.2
13	76.5	73.5	79.6	70.5	67.8	73.2
12	76.5	73.5	79.6	70.5	67.7	73.1
11	76.5	73.5	79.6	70.4	67.7	73.1
10	76.4	73.5	79.6	70.4	67.7	73.1
9	76.4	73.5	79.6	70.4	67.6	73
8	76.4	73.5	79.6	70.3	67.6	73
7	76.4	73.5	79.6	70.3	67.5	72.9
6	76.4	73.5	79.6	70.2	67.5	72.9
5	76.4	73.4	79.6	70.2	67.4	72.8
4	76.4	73.4	79.6	70.1	67.3	72.7
3	76.4	73.4	79.5	69.9	67.2	72.6
2	76.3	73.4	79.5	69.8	67	72.4
1	76.3	73.3	79.5	69.5	66.8	72.2
0	75.4	72.5	78.6	67.6	64.8	70.4

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 71.9 in Tanzania, rising to 82.4 and 79.9 at 65, and to 88.5 and 87.3 at 80 — higher than the 75.4 and 67.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Mauritius

Male

Female

Tanzania

Male

Female

1x

Age	Survival probability
	Mauritius			Tanzania
	Average	Male	Female	Average	Male	Female
100	1.64%	0.95%	2.4%	0.67%	0.12%	1.28%
99	2.28%	1.33%	3.29%	0.94%	0.2%	1.76%
98	3.08%	1.83%	4.42%	1.29%	0.3%	2.36%
97	4.08%	2.47%	5.81%	1.73%	0.46%	3.12%
96	5.29%	3.26%	7.46%	2.29%	0.68%	4.05%
95	6.73%	4.23%	9.4%	2.99%	0.98%	5.16%
94	8.39%	5.38%	11.6%	3.82%	1.38%	6.46%
93	10.3%	6.74%	14.1%	4.81%	1.89%	7.95%
92	12.4%	8.3%	16.8%	5.97%	2.55%	9.63%
91	14.7%	10.1%	19.8%	7.28%	3.35%	11.5%
90	17.3%	12.1%	23%	8.82%	4.35%	13.5%
89	20.1%	14.3%	26.4%	10.5%	5.52%	15.7%
88	23%	16.7%	29.9%	12.4%	6.9%	18.1%
87	26.1%	19.3%	33.5%	14.4%	8.47%	20.5%
86	29.3%	22%	37.1%	16.6%	10.2%	23.1%
85	32.4%	24.8%	40.6%	19%	12.2%	25.7%
84	35.5%	27.6%	44%	21.4%	14.3%	28.4%
83	38.6%	30.4%	47.3%	23.9%	16.6%	31%
82	41.6%	33.3%	50.4%	26.5%	19%	33.6%
81	44.5%	36.2%	53.4%	29%	21.4%	36.1%
80	47.4%	39.1%	56.3%	31.5%	24%	38.5%
79	50.2%	42%	59.1%	34.1%	26.6%	41%
78	53%	44.8%	61.8%	36.6%	29.2%	43.4%
77	55.7%	47.6%	64.4%	39.2%	31.8%	45.8%
76	58.3%	50.4%	66.9%	41.7%	34.5%	48.2%
75	60.7%	53%	69.2%	44.2%	37.1%	50.6%
74	63.1%	55.4%	71.3%	46.6%	39.7%	52.9%
73	65.3%	57.8%	73.4%	49%	42.2%	55.1%
72	67.4%	60%	75.3%	51.3%	44.7%	57.3%
71	69.3%	62.2%	77.1%	53.5%	47.1%	59.4%
70	71.2%	64.3%	78.7%	55.7%	49.5%	61.4%
69	73%	66.3%	80.3%	57.7%	51.8%	63.3%
68	74.7%	68.3%	81.7%	59.7%	54%	65.2%
67	76.4%	70.2%	83%	61.7%	56.2%	67%
66	77.9%	72%	84.2%	63.6%	58.3%	68.8%
65	79.4%	73.8%	85.3%	65.4%	60.3%	70.5%
64	80.7%	75.4%	86.4%	67.2%	62.3%	72%
63	81.9%	77%	87.3%	68.8%	64.2%	73.5%
62	83.1%	78.4%	88.1%	70.4%	66%	74.9%
61	84.2%	79.8%	88.9%	71.9%	67.6%	76.2%
60	85.1%	81%	89.6%	73.3%	69.3%	77.5%
59	86%	82.1%	90.3%	74.7%	70.8%	78.6%
58	86.9%	83.2%	90.9%	75.9%	72.2%	79.7%
57	87.7%	84.1%	91.5%	77.1%	73.6%	80.7%
56	88.4%	85.1%	92%	78.2%	74.9%	81.6%
55	89.1%	86%	92.5%	79.3%	76.1%	82.5%
54	89.8%	86.8%	93%	80.3%	77.3%	83.3%
53	90.4%	87.7%	93.4%	81.3%	78.4%	84.2%
52	91%	88.4%	93.8%	82.2%	79.4%	84.9%
51	91.6%	89.2%	94.2%	83%	80.4%	85.6%
50	92.1%	89.9%	94.5%	83.9%	81.4%	86.3%
49	92.6%	90.5%	94.8%	84.6%	82.3%	86.9%
48	93%	91.1%	95.1%	85.3%	83.1%	87.5%
47	93.4%	91.6%	95.4%	86%	83.9%	88.1%
46	93.8%	92.1%	95.7%	86.6%	84.7%	88.6%
45	94.2%	92.6%	95.9%	87.2%	85.4%	89.1%
44	94.5%	93%	96.2%	87.8%	86%	89.6%
43	94.8%	93.4%	96.4%	88.3%	86.7%	90%
42	95.1%	93.7%	96.6%	88.8%	87.2%	90.5%
41	95.4%	94.1%	96.8%	89.3%	87.8%	90.8%
40	95.6%	94.4%	96.9%	89.8%	88.3%	91.2%
39	95.9%	94.7%	97.1%	90.2%	88.8%	91.6%
38	96.1%	95%	97.2%	90.6%	89.3%	91.9%
37	96.3%	95.3%	97.3%	91%	89.8%	92.2%
36	96.5%	95.6%	97.4%	91.3%	90.2%	92.5%
35	96.6%	95.8%	97.5%	91.7%	90.6%	92.8%
34	96.8%	96%	97.6%	92%	90.9%	93.1%
33	96.9%	96.2%	97.7%	92.3%	91.3%	93.3%
32	97.1%	96.4%	97.8%	92.6%	91.6%	93.6%
31	97.2%	96.6%	97.9%	92.9%	92%	93.8%
30	97.3%	96.7%	97.9%	93.1%	92.3%	94%
29	97.5%	96.9%	98%	93.4%	92.5%	94.2%
28	97.6%	97.1%	98.1%	93.6%	92.8%	94.4%
27	97.7%	97.2%	98.2%	93.8%	93.1%	94.6%
26	97.8%	97.3%	98.2%	94%	93.3%	94.8%
25	97.9%	97.5%	98.3%	94.2%	93.6%	94.9%
24	98%	97.6%	98.3%	94.4%	93.8%	95.1%
23	98.1%	97.7%	98.4%	94.6%	94%	95.2%
22	98.1%	97.9%	98.4%	94.8%	94.2%	95.4%
21	98.2%	98%	98.5%	95%	94.4%	95.5%
20	98.3%	98.1%	98.5%	95.1%	94.6%	95.6%
19	98.4%	98.2%	98.6%	95.3%	94.8%	95.7%
18	98.4%	98.3%	98.6%	95.4%	95%	95.8%
17	98.5%	98.4%	98.6%	95.5%	95.1%	95.9%
16	98.5%	98.4%	98.7%	95.6%	95.2%	96%
15	98.6%	98.5%	98.7%	95.7%	95.3%	96.1%
14	98.6%	98.5%	98.7%	95.8%	95.4%	96.1%
13	98.6%	98.5%	98.7%	95.8%	95.5%	96.2%
12	98.6%	98.5%	98.8%	95.9%	95.5%	96.2%
11	98.7%	98.5%	98.8%	95.9%	95.6%	96.3%
10	98.7%	98.6%	98.8%	96%	95.7%	96.4%
9	98.7%	98.6%	98.8%	96.1%	95.7%	96.4%
8	98.7%	98.6%	98.8%	96.1%	95.8%	96.5%
7	98.7%	98.6%	98.8%	96.2%	95.9%	96.5%
6	98.7%	98.6%	98.8%	96.3%	96%	96.6%
5	98.7%	98.7%	98.8%	96.4%	96.1%	96.7%
4	98.8%	98.7%	98.8%	96.5%	96.2%	96.8%
3	98.8%	98.7%	98.9%	96.7%	96.4%	97%
2	98.8%	98.8%	98.9%	96.9%	96.6%	97.2%
1	98.9%	98.8%	99%	97.3%	97%	97.6%

This chart shows the odds of living to each age from birth. 85.1% of newborns in Mauritius and 73.3% in Tanzania are expected to live past 60, 71.2% and 55.7% past 70, 47.4% and 31.5% past 80, and only 17.3% and 8.82% 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

Tanzania

Male

Female

1x

Age	Probability of dying
	Mauritius			Tanzania
	Average	Male	Female	Average	Male	Female
100	29.4%	30.3%	28.9%	29.4%	38.6%	28.4%
99	27.8%	28.8%	27.3%	28.3%	37.1%	27.2%
98	26.1%	27.3%	25.5%	26.8%	35.3%	25.5%
97	24.5%	25.8%	23.8%	25.7%	33.9%	24.3%
96	22.9%	24.3%	22.2%	24.5%	32.3%	23%
95	21.3%	22.9%	20.6%	23.3%	30.7%	21.6%
94	19.8%	21.5%	19.1%	21.8%	28.9%	20.1%
93	18.4%	20.1%	17.6%	20.6%	27.3%	18.7%
92	17.1%	18.8%	16.2%	19.4%	25.7%	17.5%
91	15.9%	17.6%	15%	18.1%	24%	16%
90	14.8%	16.6%	13.9%	17.4%	22.9%	15.3%
89	13.8%	15.5%	12.8%	16.1%	21.3%	13.9%
88	12.8%	14.5%	11.8%	15.2%	20%	13%
87	11.8%	13.4%	10.7%	14.2%	18.6%	12%
86	10.7%	12.3%	9.68%	13.3%	17.3%	11.1%
85	9.72%	11.2%	8.67%	12.3%	16%	10.2%
84	8.77%	10.2%	7.74%	11.4%	14.9%	9.37%
83	7.92%	9.36%	6.92%	10.4%	13.7%	8.46%
82	7.21%	8.61%	6.22%	9.6%	12.6%	7.7%
81	6.61%	7.96%	5.64%	8.6%	11.4%	6.8%
80	6.1%	7.4%	5.15%	8.09%	10.6%	6.4%
79	5.65%	6.89%	4.73%	7.47%	9.73%	5.95%
78	5.23%	6.39%	4.35%	7.01%	9.02%	5.65%
77	4.83%	5.89%	4%	6.47%	8.26%	5.24%
76	4.43%	5.39%	3.66%	6.05%	7.65%	4.95%
75	4.04%	4.9%	3.34%	5.63%	7.08%	4.66%
74	3.69%	4.45%	3.04%	5.22%	6.52%	4.35%
73	3.37%	4.06%	2.77%	4.83%	6.02%	4.06%
72	3.09%	3.73%	2.53%	4.5%	5.58%	3.8%
71	2.85%	3.47%	2.31%	4.12%	5.1%	3.49%
70	2.65%	3.25%	2.11%	3.91%	4.8%	3.33%
69	2.47%	3.07%	1.93%	3.59%	4.41%	3.06%
68	2.3%	2.9%	1.76%	3.37%	4.12%	2.88%
67	2.14%	2.73%	1.6%	3.16%	3.84%	2.7%
66	1.97%	2.56%	1.44%	2.97%	3.6%	2.54%
65	1.82%	2.38%	1.3%	2.83%	3.4%	2.41%
64	1.67%	2.2%	1.17%	2.61%	3.15%	2.2%
63	1.52%	2.01%	1.06%	2.42%	2.92%	2.02%
62	1.39%	1.83%	0.96%	2.25%	2.71%	1.86%
61	1.26%	1.66%	0.88%	2.06%	2.49%	1.7%
60	1.15%	1.51%	0.8%	1.94%	2.34%	1.58%
59	1.05%	1.37%	0.74%	1.78%	2.14%	1.44%
58	0.97%	1.26%	0.68%	1.66%	1.99%	1.34%
57	0.9%	1.17%	0.63%	1.54%	1.85%	1.24%
56	0.84%	1.1%	0.58%	1.44%	1.73%	1.16%
55	0.79%	1.04%	0.53%	1.35%	1.62%	1.09%
54	0.74%	0.99%	0.49%	1.26%	1.52%	1.02%
53	0.7%	0.94%	0.45%	1.18%	1.42%	0.95%
52	0.65%	0.89%	0.42%	1.11%	1.34%	0.9%
51	0.61%	0.83%	0.39%	1.03%	1.24%	0.83%
50	0.57%	0.77%	0.36%	0.97%	1.17%	0.79%
49	0.53%	0.71%	0.34%	0.9%	1.08%	0.73%
48	0.48%	0.64%	0.32%	0.84%	1.01%	0.68%
47	0.45%	0.59%	0.3%	0.78%	0.94%	0.63%
46	0.41%	0.53%	0.28%	0.73%	0.88%	0.59%
45	0.37%	0.48%	0.26%	0.69%	0.83%	0.56%
44	0.34%	0.44%	0.24%	0.64%	0.77%	0.52%
43	0.32%	0.41%	0.22%	0.6%	0.72%	0.49%
42	0.3%	0.39%	0.2%	0.57%	0.68%	0.47%
41	0.28%	0.37%	0.18%	0.53%	0.63%	0.44%
40	0.27%	0.36%	0.16%	0.51%	0.6%	0.42%
39	0.25%	0.34%	0.15%	0.47%	0.56%	0.39%
38	0.23%	0.32%	0.13%	0.45%	0.53%	0.37%
37	0.21%	0.3%	0.12%	0.42%	0.5%	0.34%
36	0.2%	0.27%	0.11%	0.39%	0.47%	0.33%
35	0.18%	0.24%	0.1%	0.37%	0.44%	0.31%
34	0.16%	0.22%	0.1%	0.35%	0.41%	0.29%
33	0.15%	0.2%	0.09%	0.33%	0.39%	0.27%
32	0.14%	0.18%	0.09%	0.31%	0.37%	0.25%
31	0.13%	0.17%	0.08%	0.29%	0.34%	0.24%
30	0.13%	0.17%	0.08%	0.28%	0.33%	0.23%
29	0.12%	0.17%	0.07%	0.26%	0.31%	0.21%
28	0.12%	0.16%	0.07%	0.25%	0.3%	0.2%
27	0.11%	0.16%	0.07%	0.24%	0.28%	0.19%
26	0.11%	0.15%	0.06%	0.22%	0.27%	0.18%
25	0.1%	0.14%	0.06%	0.21%	0.26%	0.17%
24	0.09%	0.13%	0.06%	0.2%	0.25%	0.16%
23	0.09%	0.13%	0.05%	0.19%	0.24%	0.15%
22	0.09%	0.12%	0.05%	0.18%	0.23%	0.14%
21	0.08%	0.12%	0.05%	0.17%	0.21%	0.13%
20	0.08%	0.11%	0.04%	0.16%	0.2%	0.13%
19	0.07%	0.11%	0.04%	0.15%	0.18%	0.12%
18	0.07%	0.09%	0.04%	0.14%	0.17%	0.11%
17	0.06%	0.08%	0.03%	0.12%	0.14%	0.1%
16	0.04%	0.06%	0.03%	0.1%	0.12%	0.09%
15	0.03%	0.04%	0.03%	0.09%	0.1%	0.08%
14	0.03%	0.03%	0.02%	0.08%	0.09%	0.07%
13	0.02%	0.02%	0.02%	0.07%	0.08%	0.06%
12	0.02%	0.02%	0.02%	0.06%	0.07%	0.06%
11	0.02%	0.02%	0.01%	0.06%	0.07%	0.05%
10	0.01%	0.02%	0.01%	0.06%	0.07%	0.05%
9	0.01%	0.02%	0.01%	0.06%	0.07%	0.06%
8	0.01%	0.02%	0.009%	0.07%	0.07%	0.06%
7	0.01%	0.02%	0.01%	0.08%	0.08%	0.07%
6	0.02%	0.02%	0.01%	0.08%	0.09%	0.08%
5	0.02%	0.02%	0.01%	0.1%	0.11%	0.09%
4	0.02%	0.03%	0.02%	0.13%	0.14%	0.12%
3	0.03%	0.04%	0.03%	0.18%	0.18%	0.17%
2	0.04%	0.05%	0.04%	0.25%	0.26%	0.25%
1	0.06%	0.06%	0.06%	0.41%	0.41%	0.4%
0	1.1%	1.18%	1.02%	2.69%	2.99%	2.38%

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

The annual chance of dying is 1.1% in the birth year in Mauritius and 2.69% in Tanzania, 0.13% vs 0.28% at age 30, 1.15% vs 1.94% at 60, and 6.1% vs 8.09% at 80.

Death rate by age in Mauritius vs Tanzania

Chart Table

Mauritius

Male

Female

Tanzania

Male

Female

1x

Age	Death rate
	Mauritius			Tanzania
	Total	Male	Female	Total	Male	Female
100	412	218.2	619	140.1	0.71	294.9
99	632	384	898	266.5	72.6	478
98	805	500	1,128	344	107.1	602
97	999	637	1,383	444	155.1	756
96	1,212	793	1,656	562	218.8	930
95	1,436	967	1,937	695	300	1,116
94	1,664	1,155	2,212	834	398	1,297
93	1,890	1,353	2,475	989	516	1,486
92	2,118	1,561	2,730	1,159	656	1,682
91	2,346	1,777	2,974	1,316	805	1,836
90	2,569	1,998	3,197	1,536	994	2,078
89	2,776	2,215	3,387	1,690	1,174	2,190
88	2,952	2,414	3,526	1,881	1,377	2,351
87	3,077	2,581	3,596	2,045	1,575	2,462
86	3,142	2,703	3,591	2,207	1,777	2,566
85	3,149	2,783	3,521	2,336	1,957	2,629
84	3,114	2,828	3,408	2,452	2,143	2,662
83	3,056	2,851	3,273	2,499	2,269	2,625
82	2,996	2,867	3,139	2,540	2,389	2,588
81	2,940	2,881	3,015	2,490	2,434	2,451
80	2,890	2,891	2,902	2,549	2,548	2,467
79	2,839	2,890	2,798	2,545	2,586	2,439
78	2,774	2,864	2,691	2,569	2,636	2,453
77	2,689	2,805	2,576	2,533	2,630	2,402
76	2,581	2,712	2,448	2,519	2,638	2,384
75	2,457	2,594	2,311	2,489	2,625	2,358
74	2,326	2,467	2,171	2,431	2,589	2,297
73	2,199	2,346	2,033	2,367	2,543	2,235
72	2,082	2,241	1,902	2,309	2,496	2,179
71	1,979	2,156	1,778	2,205	2,404	2,072
70	1,888	2,089	1,661	2,174	2,375	2,046
69	1,803	2,034	1,548	2,072	2,284	1,936
68	1,718	1,979	1,436	2,015	2,226	1,877
67	1,631	1,917	1,325	1,948	2,160	1,806
66	1,538	1,843	1,215	1,889	2,097	1,743
65	1,442	1,756	1,110	1,848	2,051	1,698
64	1,345	1,658	1,013	1,753	1,961	1,588
63	1,248	1,550	926	1,666	1,874	1,488
62	1,153	1,438	849	1,583	1,789	1,396
61	1,062	1,326	780	1,484	1,686	1,293
60	979	1,221	720	1,422	1,617	1,227
59	906	1,128	667	1,327	1,514	1,135
58	842	1,050	619	1,257	1,436	1,069
57	788	987	574	1,185	1,359	1,002
56	742	937	532	1,126	1,294	949
55	702	896	493	1,069	1,234	895
54	665	860	457	1,015	1,174	848
53	630	825	423	962	1,116	802
52	595	785	393	914	1,062	763
51	559	740	367	856	999	711
50	523	690	344	817	955	680
49	487	639	323	761	892	633
48	451	587	305	716	840	596
47	416	536	287.2	671	789	558
46	383	488	270.1	632	744	525
45	353	444	252.8	599	705	498
44	326	409	234.6	563	661	469
43	303	382	215.4	533	625	445
42	284	363	195.6	507	593	423
41	267.8	349	176	476	557	397
40	253.6	338	157.6	455	533	380
39	239.3	325	141.2	428	500	357
38	223.8	309	127.2	405	473	338
37	206.5	286.3	115.8	382	446	318
36	188.4	260.4	106.8	361	420	301
35	171.2	234.3	100	341	398	284.4
34	156.2	210.8	94.6	321	375	266.3
33	143.9	191.6	90.3	303	353	251.3
32	134.4	177.6	86.1	286.8	335	237.8
31	127.5	168.4	81.9	269.7	316	222.6
30	122.5	163.2	77.6	258.9	303	213.8
29	118.8	160.3	73.4	245	287.2	202.1
28	114.9	156.9	69.4	233.1	274.4	191
27	110.1	151.8	65.6	222.2	262.5	181.1
26	104.4	144.4	62.1	211.5	251.5	171
25	98.4	136.3	58.9	201.9	242.2	161.1
24	93	129.1	55.7	192.7	232.5	152.5
23	88.5	123.8	52.6	183.7	223.1	143.7
22	84.9	119.8	49.5	174.2	212.6	135.4
21	81.5	116.5	46.6	164	200.4	127
20	77.9	112.4	43.7	154.3	187.4	120.7
19	72.8	105.4	40.9	142.8	172.9	112.2
18	64.9	92.8	37.8	130.5	157.1	103.4
17	54.6	75.7	34.3	114.1	134.6	93.3
16	43.5	57.1	30.5	98.8	113.8	83.6
15	34	41.5	26.7	85	95.7	74
14	26.6	30.1	23.2	73.3	81.7	64.7
13	21.4	22.9	19.9	65.1	71.8	58.2
12	17.6	18.5	16.7	60	66.3	53.6
11	14.9	16.1	13.7	57.8	63.8	51.6
10	13.2	15	11.3	57.7	63	52.2
9	12.4	15	9.77	59.9	65.2	54.4
8	12.5	15.9	9.22	64.7	70.4	58.8
7	13.5	17.5	9.59	72.2	78.1	66.1
6	15.4	20.1	11	81.7	87.3	76
5	18.5	23.7	13.7	96.7	101.8	91.4
4	23.5	28.7	18.4	125.6	131.7	119.3
3	31.1	35.7	26.4	171.2	177.9	164.3
2	42.9	45.6	40.1	246.7	252.7	240.5
1	61.6	59.5	63.9	394	394	394
0	1,101	1,178	1,021	2,690	2,990	2,383

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 Tanzania. The median age of death is 79.1 in Mauritius and 72.6 in Tanzania, 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 Tanzania more than their death rates.

Life expectancy in other countries

+ -

1x