Life Expectancy in Mauritius vs Pakistan (1950-2026)

Life expectancy by current age

Chart Table

Mauritius

Male

Female

Pakistan

Male

Female

1x

Current age, years	Total life expectancy, years
	Mauritius			Pakistan
	Average	Male	Female	Average	Male	Female
100	102.6	102.3	102.7	101.7	101.6	101.7
99	101.7	101.5	101.8	100.7	100.6	100.8
98	100.9	100.7	101	99.8	99.7	99.8
97	100.1	99.9	100.1	98.9	98.8	98.9
96	99.2	99.1	99.3	98	97.9	98
95	98.4	98.2	98.5	97.1	97	97.2
94	97.7	97.4	97.8	96.2	96.1	96.3
93	96.9	96.6	97	95.4	95.2	95.5
92	96.1	95.9	96.3	94.6	94.3	94.7
91	95.4	95.1	95.6	93.7	93.5	93.9
90	94.7	94.3	94.9	92.9	92.7	93.1
89	94	93.6	94.2	92.1	91.9	92.3
88	93.3	92.9	93.5	91.4	91.1	91.6
87	92.6	92.1	92.9	90.6	90.3	90.8
86	91.9	91.4	92.2	89.9	89.6	90.1
85	91.3	90.8	91.7	89.1	88.9	89.4
84	90.7	90.1	91.1	88.4	88.1	88.7
83	90.1	89.5	90.6	87.7	87.4	88
82	89.6	88.9	90.1	87.1	86.8	87.3
81	89.1	88.3	89.6	86.4	86.1	86.7
80	88.5	87.7	89.1	85.8	85.4	86.1
79	88	87.2	88.7	85.2	84.8	85.5
78	87.5	86.6	88.2	84.6	84.2	85
77	87	86.1	87.8	84.1	83.6	84.5
76	86.6	85.6	87.4	83.5	83	84
75	86.1	85.1	87	83	82.5	83.5
74	85.7	84.6	86.6	82.5	81.9	83
73	85.3	84.2	86.2	82	81.4	82.6
72	84.9	83.7	85.9	81.6	80.9	82.2
71	84.5	83.3	85.6	81.1	80.4	81.8
70	84.1	82.9	85.2	80.7	80	81.4
69	83.8	82.5	84.9	80.3	79.5	81.1
68	83.4	82.1	84.7	79.9	79.1	80.7
67	83.1	81.7	84.4	79.6	78.7	80.4
66	82.8	81.3	84.1	79.2	78.3	80.1
65	82.4	80.9	83.9	78.9	77.9	79.8
64	82.1	80.5	83.7	78.6	77.5	79.6
63	81.9	80.2	83.4	78.3	77.2	79.3
62	81.6	79.9	83.2	78	76.8	79.1
61	81.3	79.6	83	77.7	76.5	78.8
60	81.1	79.3	82.9	77.4	76.2	78.6
59	80.9	79	82.7	77.2	75.9	78.4
58	80.7	78.7	82.5	76.9	75.6	78.2
57	80.4	78.5	82.4	76.7	75.4	78
56	80.2	78.3	82.2	76.5	75.1	77.9
55	80	78	82.1	76.3	74.9	77.7
54	79.9	77.8	81.9	76.1	74.6	77.5
53	79.7	77.6	81.8	75.9	74.4	77.4
52	79.5	77.3	81.7	75.7	74.2	77.2
51	79.3	77.1	81.6	75.5	74	77.1
50	79.2	76.9	81.5	75.4	73.8	77
49	79	76.7	81.4	75.2	73.7	76.8
48	78.9	76.5	81.2	75.1	73.5	76.7
47	78.7	76.4	81.1	75	73.3	76.6
46	78.6	76.2	81	74.8	73.2	76.5
45	78.5	76.1	81	74.7	73.1	76.4
44	78.3	75.9	80.9	74.6	72.9	76.3
43	78.2	75.8	80.8	74.5	72.8	76.2
42	78.1	75.7	80.7	74.4	72.7	76.1
41	78	75.5	80.6	74.3	72.6	76.1
40	77.9	75.4	80.6	74.2	72.5	76
39	77.8	75.3	80.5	74.1	72.4	75.9
38	77.7	75.2	80.5	74	72.3	75.8
37	77.7	75.1	80.4	73.9	72.2	75.8
36	77.6	75	80.4	73.9	72.1	75.7
35	77.5	74.9	80.3	73.8	72	75.6
34	77.4	74.8	80.3	73.7	71.9	75.6
33	77.4	74.7	80.2	73.6	71.8	75.5
32	77.3	74.6	80.2	73.6	71.8	75.4
31	77.2	74.5	80.1	73.5	71.7	75.4
30	77.2	74.5	80.1	73.4	71.6	75.3
29	77.1	74.4	80.1	73.3	71.5	75.3
28	77.1	74.3	80	73.3	71.4	75.2
27	77	74.2	80	73.2	71.3	75.2
26	77	74.2	80	73.1	71.3	75.1
25	76.9	74.1	79.9	73.1	71.2	75.1
24	76.9	74	79.9	73	71.1	75
23	76.8	74	79.9	72.9	71	75
22	76.8	73.9	79.8	72.9	70.9	74.9
21	76.7	73.8	79.8	72.8	70.8	74.9
20	76.7	73.8	79.8	72.7	70.7	74.8
19	76.6	73.7	79.8	72.7	70.6	74.8
18	76.6	73.7	79.7	72.6	70.6	74.8
17	76.6	73.6	79.7	72.5	70.5	74.7
16	76.5	73.6	79.7	72.5	70.4	74.7
15	76.5	73.6	79.7	72.5	70.4	74.7
14	76.5	73.6	79.7	72.4	70.3	74.6
13	76.5	73.5	79.6	72.4	70.3	74.6
12	76.5	73.5	79.6	72.3	70.3	74.6
11	76.5	73.5	79.6	72.3	70.2	74.5
10	76.4	73.5	79.6	72.3	70.2	74.5
9	76.4	73.5	79.6	72.3	70.1	74.5
8	76.4	73.5	79.6	72.2	70.1	74.5
7	76.4	73.5	79.6	72.2	70	74.5
6	76.4	73.5	79.6	72.1	70	74.4
5	76.4	73.4	79.6	72.1	69.9	74.4
4	76.4	73.4	79.6	72	69.8	74.3
3	76.4	73.4	79.5	71.8	69.6	74.2
2	76.3	73.4	79.5	71.7	69.5	74
1	76.3	73.3	79.5	71.4	69.2	73.7
0	75.4	72.5	78.6	68.1	65.7	70.6

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 73.4 in Pakistan, rising to 82.4 and 78.9 at 65, and to 88.5 and 85.8 at 80 — higher than the 75.4 and 68.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Mauritius

Male

Female

Pakistan

Male

Female

1x

Age	Survival probability
	Mauritius			Pakistan
	Average	Male	Female	Average	Male	Female
100	1.64%	0.95%	2.4%	0.08%	0.04%	0.13%
99	2.28%	1.33%	3.29%	0.13%	0.07%	0.22%
98	3.08%	1.83%	4.42%	0.23%	0.12%	0.37%
97	4.08%	2.47%	5.81%	0.38%	0.2%	0.61%
96	5.29%	3.26%	7.46%	0.62%	0.33%	0.96%
95	6.73%	4.23%	9.4%	0.95%	0.54%	1.46%
94	8.39%	5.38%	11.6%	1.43%	0.84%	2.14%
93	10.3%	6.74%	14.1%	2.07%	1.27%	3.03%
92	12.4%	8.3%	16.8%	2.92%	1.86%	4.16%
91	14.7%	10.1%	19.8%	3.99%	2.65%	5.55%
90	17.3%	12.1%	23%	5.31%	3.65%	7.22%
89	20.1%	14.3%	26.4%	6.9%	4.88%	9.2%
88	23%	16.7%	29.9%	8.76%	6.34%	11.5%
87	26.1%	19.3%	33.5%	10.9%	8.05%	14.1%
86	29.3%	22%	37.1%	13.3%	9.99%	17%
85	32.4%	24.8%	40.6%	15.9%	12.2%	20.1%
84	35.5%	27.6%	44%	18.8%	14.6%	23.5%
83	38.6%	30.4%	47.3%	21.9%	17.1%	27%
82	41.6%	33.3%	50.4%	25.1%	19.9%	30.7%
81	44.5%	36.2%	53.4%	28.3%	22.8%	34.3%
80	47.4%	39.1%	56.3%	31.7%	25.8%	38%
79	50.2%	42%	59.1%	35%	28.9%	41.6%
78	53%	44.8%	61.8%	38.3%	32%	45.1%
77	55.7%	47.6%	64.4%	41.6%	35.1%	48.5%
76	58.3%	50.4%	66.9%	44.8%	38.2%	51.7%
75	60.7%	53%	69.2%	47.8%	41.3%	54.8%
74	63.1%	55.4%	71.3%	50.8%	44.3%	57.8%
73	65.3%	57.8%	73.4%	53.6%	47.2%	60.6%
72	67.4%	60%	75.3%	56.4%	50%	63.2%
71	69.3%	62.2%	77.1%	58.9%	52.7%	65.6%
70	71.2%	64.3%	78.7%	61.4%	55.3%	67.8%
69	73%	66.3%	80.3%	63.7%	57.8%	69.9%
68	74.7%	68.3%	81.7%	65.8%	60.1%	71.8%
67	76.4%	70.2%	83%	67.8%	62.4%	73.6%
66	77.9%	72%	84.2%	69.7%	64.5%	75.2%
65	79.4%	73.8%	85.3%	71.4%	66.4%	76.7%
64	80.7%	75.4%	86.4%	73%	68.3%	78.1%
63	81.9%	77%	87.3%	74.6%	70.1%	79.3%
62	83.1%	78.4%	88.1%	76%	71.7%	80.4%
61	84.2%	79.8%	88.9%	77.3%	73.3%	81.5%
60	85.1%	81%	89.6%	78.5%	74.7%	82.5%
59	86%	82.1%	90.3%	79.6%	76%	83.4%
58	86.9%	83.2%	90.9%	80.6%	77.3%	84.2%
57	87.7%	84.1%	91.5%	81.6%	78.5%	84.9%
56	88.4%	85.1%	92%	82.5%	79.5%	85.6%
55	89.1%	86%	92.5%	83.3%	80.5%	86.3%
54	89.8%	86.8%	93%	84.1%	81.4%	86.9%
53	90.4%	87.7%	93.4%	84.8%	82.3%	87.4%
52	91%	88.4%	93.8%	85.4%	83%	87.9%
51	91.6%	89.2%	94.2%	86%	83.8%	88.4%
50	92.1%	89.9%	94.5%	86.6%	84.4%	88.9%
49	92.6%	90.5%	94.8%	87.1%	85%	89.3%
48	93%	91.1%	95.1%	87.5%	85.6%	89.6%
47	93.4%	91.6%	95.4%	88%	86.1%	90%
46	93.8%	92.1%	95.7%	88.4%	86.6%	90.3%
45	94.2%	92.6%	95.9%	88.7%	87%	90.6%
44	94.5%	93%	96.2%	89.1%	87.4%	90.9%
43	94.8%	93.4%	96.4%	89.4%	87.8%	91.1%
42	95.1%	93.7%	96.6%	89.7%	88.1%	91.4%
41	95.4%	94.1%	96.8%	89.9%	88.4%	91.6%
40	95.6%	94.4%	96.9%	90.2%	88.7%	91.8%
39	95.9%	94.7%	97.1%	90.4%	89%	92%
38	96.1%	95%	97.2%	90.6%	89.2%	92.1%
37	96.3%	95.3%	97.3%	90.8%	89.5%	92.3%
36	96.5%	95.6%	97.4%	91%	89.7%	92.5%
35	96.6%	95.8%	97.5%	91.2%	89.9%	92.6%
34	96.8%	96%	97.6%	91.4%	90.1%	92.7%
33	96.9%	96.2%	97.7%	91.6%	90.3%	92.9%
32	97.1%	96.4%	97.8%	91.7%	90.5%	93%
31	97.2%	96.6%	97.9%	91.9%	90.7%	93.1%
30	97.3%	96.7%	97.9%	92%	90.9%	93.2%
29	97.5%	96.9%	98%	92.2%	91%	93.4%
28	97.6%	97.1%	98.1%	92.3%	91.2%	93.5%
27	97.7%	97.2%	98.2%	92.4%	91.4%	93.6%
26	97.8%	97.3%	98.2%	92.6%	91.5%	93.7%
25	97.9%	97.5%	98.3%	92.7%	91.7%	93.8%
24	98%	97.6%	98.3%	92.8%	91.9%	93.9%
23	98.1%	97.7%	98.4%	93%	92.1%	93.9%
22	98.1%	97.9%	98.4%	93.1%	92.2%	94%
21	98.2%	98%	98.5%	93.2%	92.4%	94.1%
20	98.3%	98.1%	98.5%	93.4%	92.6%	94.2%
19	98.4%	98.2%	98.6%	93.5%	92.7%	94.3%
18	98.4%	98.3%	98.6%	93.6%	92.9%	94.3%
17	98.5%	98.4%	98.6%	93.7%	93%	94.4%
16	98.5%	98.4%	98.7%	93.7%	93.1%	94.4%
15	98.6%	98.5%	98.7%	93.8%	93.2%	94.5%
14	98.6%	98.5%	98.7%	93.9%	93.3%	94.5%
13	98.6%	98.5%	98.7%	93.9%	93.3%	94.6%
12	98.6%	98.5%	98.8%	94%	93.4%	94.6%
11	98.7%	98.5%	98.8%	94%	93.5%	94.6%
10	98.7%	98.6%	98.8%	94.1%	93.5%	94.7%
9	98.7%	98.6%	98.8%	94.1%	93.6%	94.7%
8	98.7%	98.6%	98.8%	94.2%	93.6%	94.7%
7	98.7%	98.6%	98.8%	94.2%	93.7%	94.8%
6	98.7%	98.6%	98.8%	94.3%	93.8%	94.8%
5	98.7%	98.7%	98.8%	94.4%	93.9%	94.9%
4	98.8%	98.7%	98.8%	94.5%	94.1%	95%
3	98.8%	98.7%	98.9%	94.7%	94.3%	95.2%
2	98.8%	98.8%	98.9%	95%	94.6%	95.4%
1	98.9%	98.8%	99%	95.3%	94.9%	95.8%

This chart shows the odds of living to each age from birth. 85.1% of newborns in Mauritius and 78.5% in Pakistan are expected to live past 60, 71.2% and 61.4% past 70, 47.4% and 31.7% past 80, and only 17.3% and 5.31% 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

Pakistan

Male

Female

1x

Age	Probability of dying
	Mauritius			Pakistan
	Average	Male	Female	Average	Male	Female
100	29.4%	30.3%	28.9%	46%	47.6%	45.4%
99	27.8%	28.8%	27.3%	43.8%	45.7%	43%
98	26.1%	27.3%	25.5%	41.9%	43.7%	41%
97	24.5%	25.8%	23.8%	39.8%	41.7%	38.9%
96	22.9%	24.3%	22.2%	37.7%	39.8%	36.6%
95	21.3%	22.9%	20.6%	35.5%	37.9%	34.2%
94	19.8%	21.5%	19.1%	33.2%	35.9%	31.7%
93	18.4%	20.1%	17.6%	31%	33.9%	29.4%
92	17.1%	18.8%	16.2%	28.9%	31.8%	27.1%
91	15.9%	17.6%	15%	26.9%	29.6%	25.1%
90	14.8%	16.6%	13.9%	24.9%	27.4%	23.2%
89	13.8%	15.5%	12.8%	23%	25.2%	21.5%
88	12.8%	14.5%	11.8%	21.3%	23.1%	19.9%
87	11.8%	13.4%	10.7%	19.6%	21.2%	18.4%
86	10.7%	12.3%	9.68%	18.1%	19.4%	17%
85	9.72%	11.2%	8.67%	16.6%	17.9%	15.7%
84	8.77%	10.2%	7.74%	15.3%	16.4%	14.3%
83	7.92%	9.36%	6.92%	14%	15.1%	13.1%
82	7.21%	8.61%	6.22%	12.8%	13.9%	11.9%
81	6.61%	7.96%	5.64%	11.6%	12.7%	10.7%
80	6.1%	7.4%	5.15%	10.5%	11.7%	9.64%
79	5.65%	6.89%	4.73%	9.54%	10.7%	8.66%
78	5.23%	6.39%	4.35%	8.64%	9.71%	7.77%
77	4.83%	5.89%	4%	7.82%	8.86%	6.98%
76	4.43%	5.39%	3.66%	7.08%	8.08%	6.28%
75	4.04%	4.9%	3.34%	6.43%	7.38%	5.65%
74	3.69%	4.45%	3.04%	5.84%	6.74%	5.09%
73	3.37%	4.06%	2.77%	5.3%	6.16%	4.58%
72	3.09%	3.73%	2.53%	4.82%	5.63%	4.12%
71	2.85%	3.47%	2.31%	4.37%	5.14%	3.7%
70	2.65%	3.25%	2.11%	3.97%	4.7%	3.32%
69	2.47%	3.07%	1.93%	3.6%	4.29%	2.98%
68	2.3%	2.9%	1.76%	3.26%	3.91%	2.67%
67	2.14%	2.73%	1.6%	2.96%	3.57%	2.4%
66	1.97%	2.56%	1.44%	2.68%	3.27%	2.15%
65	1.82%	2.38%	1.3%	2.44%	2.99%	1.93%
64	1.67%	2.2%	1.17%	2.22%	2.74%	1.74%
63	1.52%	2.01%	1.06%	2.02%	2.51%	1.57%
62	1.39%	1.83%	0.96%	1.85%	2.3%	1.42%
61	1.26%	1.66%	0.88%	1.69%	2.11%	1.29%
60	1.15%	1.51%	0.8%	1.54%	1.93%	1.17%
59	1.05%	1.37%	0.74%	1.41%	1.77%	1.07%
58	0.97%	1.26%	0.68%	1.29%	1.62%	0.97%
57	0.9%	1.17%	0.63%	1.18%	1.48%	0.89%
56	0.84%	1.1%	0.58%	1.08%	1.35%	0.82%
55	0.79%	1.04%	0.53%	0.99%	1.23%	0.75%
54	0.74%	0.99%	0.49%	0.9%	1.12%	0.69%
53	0.7%	0.94%	0.45%	0.83%	1.02%	0.63%
52	0.65%	0.89%	0.42%	0.76%	0.93%	0.58%
51	0.61%	0.83%	0.39%	0.69%	0.85%	0.54%
50	0.57%	0.77%	0.36%	0.64%	0.78%	0.5%
49	0.53%	0.71%	0.34%	0.59%	0.71%	0.46%
48	0.48%	0.64%	0.32%	0.54%	0.65%	0.42%
47	0.45%	0.59%	0.3%	0.49%	0.6%	0.39%
46	0.41%	0.53%	0.28%	0.45%	0.54%	0.35%
45	0.37%	0.48%	0.26%	0.41%	0.5%	0.33%
44	0.34%	0.44%	0.24%	0.38%	0.46%	0.3%
43	0.32%	0.41%	0.22%	0.35%	0.42%	0.27%
42	0.3%	0.39%	0.2%	0.32%	0.38%	0.25%
41	0.28%	0.37%	0.18%	0.3%	0.35%	0.24%
40	0.27%	0.36%	0.16%	0.27%	0.33%	0.22%
39	0.25%	0.34%	0.15%	0.26%	0.31%	0.2%
38	0.23%	0.32%	0.13%	0.24%	0.29%	0.19%
37	0.21%	0.3%	0.12%	0.23%	0.27%	0.18%
36	0.2%	0.27%	0.11%	0.21%	0.25%	0.17%
35	0.18%	0.24%	0.1%	0.2%	0.24%	0.16%
34	0.16%	0.22%	0.1%	0.19%	0.23%	0.15%
33	0.15%	0.2%	0.09%	0.18%	0.22%	0.14%
32	0.14%	0.18%	0.09%	0.17%	0.21%	0.14%
31	0.13%	0.17%	0.08%	0.17%	0.2%	0.13%
30	0.13%	0.17%	0.08%	0.16%	0.2%	0.12%
29	0.12%	0.17%	0.07%	0.16%	0.19%	0.12%
28	0.12%	0.16%	0.07%	0.15%	0.19%	0.11%
27	0.11%	0.16%	0.07%	0.15%	0.19%	0.11%
26	0.11%	0.15%	0.06%	0.15%	0.19%	0.11%
25	0.1%	0.14%	0.06%	0.15%	0.19%	0.1%
24	0.09%	0.13%	0.06%	0.15%	0.19%	0.1%
23	0.09%	0.13%	0.05%	0.14%	0.19%	0.1%
22	0.09%	0.12%	0.05%	0.14%	0.19%	0.09%
21	0.08%	0.12%	0.05%	0.14%	0.18%	0.09%
20	0.08%	0.11%	0.04%	0.13%	0.17%	0.08%
19	0.07%	0.11%	0.04%	0.12%	0.16%	0.08%
18	0.07%	0.09%	0.04%	0.11%	0.15%	0.07%
17	0.06%	0.08%	0.03%	0.1%	0.13%	0.06%
16	0.04%	0.06%	0.03%	0.09%	0.11%	0.06%
15	0.03%	0.04%	0.03%	0.08%	0.1%	0.05%
14	0.03%	0.03%	0.02%	0.07%	0.09%	0.05%
13	0.02%	0.02%	0.02%	0.06%	0.08%	0.04%
12	0.02%	0.02%	0.02%	0.05%	0.07%	0.04%
11	0.02%	0.02%	0.01%	0.05%	0.07%	0.04%
10	0.01%	0.02%	0.01%	0.05%	0.07%	0.03%
9	0.01%	0.02%	0.01%	0.05%	0.07%	0.03%
8	0.01%	0.02%	0.009%	0.06%	0.07%	0.04%
7	0.01%	0.02%	0.01%	0.06%	0.09%	0.04%
6	0.02%	0.02%	0.01%	0.08%	0.1%	0.05%
5	0.02%	0.02%	0.01%	0.1%	0.13%	0.07%
4	0.02%	0.03%	0.02%	0.13%	0.16%	0.1%
3	0.03%	0.04%	0.03%	0.19%	0.21%	0.16%
2	0.04%	0.05%	0.04%	0.27%	0.28%	0.26%
1	0.06%	0.06%	0.06%	0.4%	0.37%	0.42%
0	1.1%	1.18%	1.02%	4.65%	5.09%	4.19%

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

The annual chance of dying is 1.1% in the birth year in Mauritius and 4.65% in Pakistan, 0.13% vs 0.16% at age 30, 1.15% vs 1.54% at 60, and 6.1% vs 10.5% at 80.

Death rate by age in Mauritius vs Pakistan

Chart Table

Mauritius

Male

Female

Pakistan

Male

Female

1x

Age	Death rate
	Mauritius			Pakistan
	Total	Male	Female	Total	Male	Female
100	412	218.2	619	0	0	0
99	632	384	898	58.8	30.2	94.6
98	805	500	1,128	96.7	51.2	153
97	999	637	1,383	152.8	83.9	237.3
96	1,212	793	1,656	231.9	132.9	352
95	1,436	967	1,937	338	203.5	500
94	1,664	1,155	2,212	475	301	680
93	1,890	1,353	2,475	643	431	890
92	2,118	1,561	2,730	843	593	1,128
91	2,346	1,777	2,974	1,071	785	1,390
90	2,569	1,998	3,197	1,322	1,000	1,675
89	2,776	2,215	3,387	1,588	1,230	1,977
88	2,952	2,414	3,526	1,862	1,467	2,288
87	3,077	2,581	3,596	2,135	1,705	2,597
86	3,142	2,703	3,591	2,400	1,941	2,889
85	3,149	2,783	3,521	2,648	2,171	3,152
84	3,114	2,828	3,408	2,868	2,391	3,370
83	3,056	2,851	3,273	3,053	2,593	3,533
82	2,996	2,867	3,139	3,195	2,768	3,635
81	2,940	2,881	3,015	3,290	2,909	3,677
80	2,890	2,891	2,902	3,339	3,013	3,663
79	2,839	2,890	2,798	3,344	3,080	3,603
78	2,774	2,864	2,691	3,312	3,111	3,507
77	2,689	2,805	2,576	3,250	3,113	3,386
76	2,581	2,712	2,448	3,169	3,091	3,248
75	2,457	2,594	2,311	3,074	3,047	3,097
74	2,326	2,467	2,171	2,965	2,985	2,939
73	2,199	2,346	2,033	2,845	2,907	2,773
72	2,082	2,241	1,902	2,714	2,815	2,602
71	1,979	2,156	1,778	2,576	2,711	2,428
70	1,888	2,089	1,661	2,433	2,597	2,254
69	1,803	2,034	1,548	2,289	2,477	2,083
68	1,718	1,979	1,436	2,145	2,353	1,919
67	1,631	1,917	1,325	2,005	2,229	1,763
66	1,538	1,843	1,215	1,871	2,106	1,617
65	1,442	1,756	1,110	1,743	1,986	1,482
64	1,345	1,658	1,013	1,622	1,869	1,358
63	1,248	1,550	926	1,509	1,756	1,245
62	1,153	1,438	849	1,403	1,648	1,142
61	1,062	1,326	780	1,304	1,544	1,049
60	979	1,221	720	1,211	1,443	965
59	906	1,128	667	1,124	1,345	889
58	842	1,050	619	1,041	1,251	819
57	788	987	574	964	1,159	756
56	742	937	532	890	1,072	698
55	702	896	493	822	989	646
54	665	860	457	758	911	598
53	630	825	423	700	838	554
52	595	785	393	646	772	513
51	559	740	367	597	711	476
50	523	690	344	551	656	441
49	487	639	323	509	605	409
48	451	587	305	470	557	378
47	416	536	287.2	433	513	348
46	383	488	270.1	398	472	321
45	353	444	252.8	366	434	294.9
44	326	409	234.6	337	399	271.4
43	303	382	215.4	310	367	250.3
42	284	363	195.6	286.7	339	231.7
41	267.8	349	176	265.8	314	215.3
40	253.6	338	157.6	247.4	291.4	200.9
39	239.3	325	141.2	231.3	272	188.2
38	223.8	309	127.2	217.2	255.1	176.8
37	206.5	286.3	115.8	204.7	240.4	166.4
36	188.4	260.4	106.8	193.6	227.5	156.9
35	171.2	234.3	100	183.5	216.3	148.2
34	156.2	210.8	94.6	174.5	206.3	140.2
33	143.9	191.6	90.3	166.4	197.5	133
32	134.4	177.6	86.1	159.3	189.7	126.4
31	127.5	168.4	81.9	153	183	120.6
30	122.5	163.2	77.6	147.6	177.5	115.4
29	118.8	160.3	73.4	143.3	173.5	110.9
28	114.9	156.9	69.4	140.1	171.1	106.9
27	110.1	151.8	65.6	137.9	170.3	103.3
26	104.4	144.4	62.1	136.6	170.9	100
25	98.4	136.3	58.9	135.8	172.4	96.8
24	93	129.1	55.7	135	174	93.4
23	88.5	123.8	52.6	133.5	174.7	89.7
22	84.9	119.8	49.5	130.8	173.4	85.6
21	81.5	116.5	46.6	126.5	169.1	81
20	77.9	112.4	43.7	120	161.3	76
19	72.8	105.4	40.9	111.7	150	70.8
18	64.9	92.8	37.8	101.9	136.1	65.5
17	54.6	75.7	34.3	91.4	120.7	60.3
16	43.5	57.1	30.5	81	105.3	55.2
15	34	41.5	26.7	71.4	91.2	50.3
14	26.6	30.1	23.2	63	79.4	45.7
13	21.4	22.9	19.9	56.3	70.4	41.3
12	17.6	18.5	16.7	51.4	64.4	37.6
11	14.9	16.1	13.7	48.3	61.3	34.6
10	13.2	15	11.3	47.3	61.1	32.8
9	12.4	15	9.77	48.6	63.8	32.6
8	12.5	15.9	9.22	52.7	69.9	34.6
7	13.5	17.5	9.59	60.5	80.3	39.7
6	15.4	20.1	11	73.5	96.2	49.5
5	18.5	23.7	13.7	94.2	119.5	67.4
4	23.5	28.7	18.4	126.6	153	98.7
3	31.1	35.7	26.4	177	199.9	152.9
2	42.9	45.6	40.1	255.7	265	245.8
1	61.6	59.5	63.9	378	354	403
0	1,101	1,178	1,021	4,650	5,086	4,193

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 Pakistan. The median age of death is 79.1 in Mauritius and 74.3 in Pakistan, 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 Pakistan more than their death rates.

Life expectancy in other countries

+ -

1x