Life Expectancy in Monaco vs Pakistan (1950-2026)

Life expectancy by current age

Chart Table

Monaco

Male

Female

Pakistan

Male

Female

1x

Current age, years	Total life expectancy, years
	Monaco			Pakistan
	Average	Male	Female	Average	Male	Female
100	103.1	102.6	103.3	101.7	101.6	101.7
99	102.3	101.8	102.6	100.7	100.6	100.8
98	101.5	101	101.9	99.8	99.7	99.8
97	100.8	100.2	101.2	98.9	98.8	98.9
96	100.1	99.4	100.5	98	97.9	98
95	99.3	98.7	99.8	97.1	97	97.2
94	98.7	97.9	99.2	96.2	96.1	96.3
93	98	97.2	98.5	95.4	95.2	95.5
92	97.3	96.6	97.9	94.6	94.3	94.7
91	96.7	95.9	97.4	93.7	93.5	93.9
90	96.1	95.3	96.8	92.9	92.7	93.1
89	95.6	94.7	96.3	92.1	91.9	92.3
88	95	94.1	95.8	91.4	91.1	91.6
87	94.5	93.5	95.4	90.6	90.3	90.8
86	94	93	94.9	89.9	89.6	90.1
85	93.5	92.5	94.5	89.1	88.9	89.4
84	93.1	92	94.1	88.4	88.1	88.7
83	92.6	91.5	93.7	87.7	87.4	88
82	92.2	91.1	93.3	87.1	86.8	87.3
81	91.9	90.7	93	86.4	86.1	86.7
80	91.5	90.3	92.7	85.8	85.4	86.1
79	91.2	89.9	92.4	85.2	84.8	85.5
78	90.9	89.6	92.2	84.6	84.2	85
77	90.6	89.3	91.9	84.1	83.6	84.5
76	90.3	89	91.7	83.5	83	84
75	90.1	88.7	91.5	83	82.5	83.5
74	89.9	88.5	91.4	82.5	81.9	83
73	89.7	88.2	91.2	82	81.4	82.6
72	89.5	88	91.1	81.6	80.9	82.2
71	89.3	87.8	90.9	81.1	80.4	81.8
70	89.1	87.6	90.8	80.7	80	81.4
69	89	87.4	90.7	80.3	79.5	81.1
68	88.8	87.2	90.6	79.9	79.1	80.7
67	88.7	87.1	90.5	79.6	78.7	80.4
66	88.6	86.9	90.4	79.2	78.3	80.1
65	88.5	86.8	90.3	78.9	77.9	79.8
64	88.4	86.7	90.3	78.6	77.5	79.6
63	88.3	86.6	90.2	78.3	77.2	79.3
62	88.2	86.5	90.1	78	76.8	79.1
61	88.2	86.4	90.1	77.7	76.5	78.8
60	88.1	86.3	90	77.4	76.2	78.6
59	88	86.2	90	77.2	75.9	78.4
58	88	86.1	90	76.9	75.6	78.2
57	87.9	86.1	89.9	76.7	75.4	78
56	87.9	86	89.9	76.5	75.1	77.9
55	87.8	85.9	89.8	76.3	74.9	77.7
54	87.8	85.9	89.8	76.1	74.6	77.5
53	87.7	85.8	89.8	75.9	74.4	77.4
52	87.7	85.8	89.7	75.7	74.2	77.2
51	87.6	85.7	89.7	75.5	74	77.1
50	87.6	85.7	89.7	75.4	73.8	77
49	87.6	85.7	89.7	75.2	73.7	76.8
48	87.6	85.6	89.6	75.1	73.5	76.7
47	87.5	85.6	89.6	75	73.3	76.6
46	87.5	85.6	89.6	74.8	73.2	76.5
45	87.5	85.6	89.6	74.7	73.1	76.4
44	87.5	85.5	89.5	74.6	72.9	76.3
43	87.4	85.5	89.5	74.5	72.8	76.2
42	87.4	85.5	89.5	74.4	72.7	76.1
41	87.4	85.5	89.5	74.3	72.6	76.1
40	87.4	85.5	89.5	74.2	72.5	76
39	87.4	85.5	89.5	74.1	72.4	75.9
38	87.4	85.4	89.5	74	72.3	75.8
37	87.4	85.4	89.4	73.9	72.2	75.8
36	87.3	85.4	89.4	73.9	72.1	75.7
35	87.3	85.4	89.4	73.8	72	75.6
34	87.3	85.4	89.4	73.7	71.9	75.6
33	87.3	85.4	89.4	73.6	71.8	75.5
32	87.3	85.4	89.4	73.6	71.8	75.4
31	87.3	85.4	89.4	73.5	71.7	75.4
30	87.3	85.4	89.4	73.4	71.6	75.3
29	87.3	85.3	89.4	73.3	71.5	75.3
28	87.3	85.3	89.4	73.3	71.4	75.2
27	87.3	85.3	89.4	73.2	71.3	75.2
26	87.2	85.3	89.3	73.1	71.3	75.1
25	87.2	85.3	89.3	73.1	71.2	75.1
24	87.2	85.3	89.3	73	71.1	75
23	87.2	85.3	89.3	72.9	71	75
22	87.2	85.3	89.3	72.9	70.9	74.9
21	87.2	85.3	89.3	72.8	70.8	74.9
20	87.2	85.2	89.3	72.7	70.7	74.8
19	87.2	85.2	89.3	72.7	70.6	74.8
18	87.2	85.2	89.3	72.6	70.6	74.8
17	87.2	85.2	89.3	72.5	70.5	74.7
16	87.2	85.2	89.3	72.5	70.4	74.7
15	87.2	85.2	89.3	72.5	70.4	74.7
14	87.1	85.2	89.3	72.4	70.3	74.6
13	87.1	85.2	89.3	72.4	70.3	74.6
12	87.1	85.2	89.3	72.3	70.3	74.6
11	87.1	85.2	89.3	72.3	70.2	74.5
10	87.1	85.2	89.2	72.3	70.2	74.5
9	87.1	85.2	89.2	72.3	70.1	74.5
8	87.1	85.2	89.2	72.2	70.1	74.5
7	87.1	85.2	89.2	72.2	70	74.5
6	87.1	85.2	89.2	72.1	70	74.4
5	87.1	85.2	89.2	72.1	69.9	74.4
4	87.1	85.1	89.2	72	69.8	74.3
3	87.1	85.1	89.2	71.8	69.6	74.2
2	87.1	85.1	89.2	71.7	69.5	74
1	87.1	85.1	89.2	71.4	69.2	73.7
0	86.7	84.8	88.8	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 Monaco can expect to live to 87.3 years compared to 73.4 in Pakistan, rising to 88.5 and 78.9 at 65, and to 91.5 and 85.8 at 80 — higher than the 86.7 and 68.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Monaco

Male

Female

Pakistan

Male

Female

1x

Age	Survival probability
	Monaco			Pakistan
	Average	Male	Female	Average	Male	Female
100	8.43%	4.58%	12.9%	0.08%	0.04%	0.13%
99	10.8%	6.25%	16%	0.13%	0.07%	0.22%
98	13.5%	8.3%	19.4%	0.23%	0.12%	0.37%
97	16.6%	10.7%	23.2%	0.38%	0.2%	0.61%
96	20%	13.6%	27.2%	0.62%	0.33%	0.96%
95	23.7%	16.8%	31.4%	0.95%	0.54%	1.46%
94	27.7%	20.3%	35.7%	1.43%	0.84%	2.14%
93	31.8%	24.1%	40.1%	2.07%	1.27%	3.03%
92	36%	28.2%	44.5%	2.92%	1.86%	4.16%
91	40.2%	32.4%	48.8%	3.99%	2.65%	5.55%
90	44.5%	36.7%	53%	5.31%	3.65%	7.22%
89	48.7%	41%	57.1%	6.9%	4.88%	9.2%
88	52.7%	45.3%	60.9%	8.76%	6.34%	11.5%
87	56.7%	49.5%	64.6%	10.9%	8.05%	14.1%
86	60.5%	53.6%	68%	13.3%	9.99%	17%
85	64.1%	57.5%	71.2%	15.9%	12.2%	20.1%
84	67.5%	61.2%	74.3%	18.8%	14.6%	23.5%
83	70.7%	64.7%	77.1%	21.9%	17.1%	27%
82	73.6%	68%	79.6%	25.1%	19.9%	30.7%
81	76.3%	71%	81.9%	28.3%	22.8%	34.3%
80	78.7%	73.8%	83.9%	31.7%	25.8%	38%
79	80.9%	76.3%	85.7%	35%	28.9%	41.6%
78	82.8%	78.6%	87.3%	38.3%	32%	45.1%
77	84.6%	80.7%	88.6%	41.6%	35.1%	48.5%
76	86.1%	82.6%	89.9%	44.8%	38.2%	51.7%
75	87.6%	84.3%	90.9%	47.8%	41.3%	54.8%
74	88.8%	85.9%	91.9%	50.8%	44.3%	57.8%
73	90%	87.3%	92.7%	53.6%	47.2%	60.6%
72	91%	88.5%	93.5%	56.4%	50%	63.2%
71	91.9%	89.7%	94.1%	58.9%	52.7%	65.6%
70	92.7%	90.7%	94.7%	61.4%	55.3%	67.8%
69	93.4%	91.7%	95.2%	63.7%	57.8%	69.9%
68	94.1%	92.5%	95.7%	65.8%	60.1%	71.8%
67	94.6%	93.2%	96%	67.8%	62.4%	73.6%
66	95.1%	93.9%	96.4%	69.7%	64.5%	75.2%
65	95.6%	94.4%	96.7%	71.4%	66.4%	76.7%
64	96%	94.9%	96.9%	73%	68.3%	78.1%
63	96.3%	95.4%	97.1%	74.6%	70.1%	79.3%
62	96.6%	95.8%	97.3%	76%	71.7%	80.4%
61	96.9%	96.2%	97.5%	77.3%	73.3%	81.5%
60	97.1%	96.5%	97.7%	78.5%	74.7%	82.5%
59	97.3%	96.8%	97.8%	79.6%	76%	83.4%
58	97.5%	97.1%	98%	80.6%	77.3%	84.2%
57	97.7%	97.3%	98.1%	81.6%	78.5%	84.9%
56	97.9%	97.6%	98.2%	82.5%	79.5%	85.6%
55	98%	97.8%	98.3%	83.3%	80.5%	86.3%
54	98.2%	97.9%	98.4%	84.1%	81.4%	86.9%
53	98.3%	98.1%	98.5%	84.8%	82.3%	87.4%
52	98.4%	98.2%	98.6%	85.4%	83%	87.9%
51	98.5%	98.3%	98.7%	86%	83.8%	88.4%
50	98.6%	98.4%	98.7%	86.6%	84.4%	88.9%
49	98.7%	98.5%	98.8%	87.1%	85%	89.3%
48	98.7%	98.6%	98.8%	87.5%	85.6%	89.6%
47	98.8%	98.7%	98.9%	88%	86.1%	90%
46	98.9%	98.8%	98.9%	88.4%	86.6%	90.3%
45	98.9%	98.8%	99%	88.7%	87%	90.6%
44	99%	98.9%	99%	89.1%	87.4%	90.9%
43	99%	98.9%	99.1%	89.4%	87.8%	91.1%
42	99%	99%	99.1%	89.7%	88.1%	91.4%
41	99.1%	99%	99.1%	89.9%	88.4%	91.6%
40	99.1%	99%	99.2%	90.2%	88.7%	91.8%
39	99.1%	99.1%	99.2%	90.4%	89%	92%
38	99.1%	99.1%	99.2%	90.6%	89.2%	92.1%
37	99.2%	99.1%	99.2%	90.8%	89.5%	92.3%
36	99.2%	99.1%	99.2%	91%	89.7%	92.5%
35	99.2%	99.2%	99.3%	91.2%	89.9%	92.6%
34	99.2%	99.2%	99.3%	91.4%	90.1%	92.7%
33	99.3%	99.2%	99.3%	91.6%	90.3%	92.9%
32	99.3%	99.2%	99.3%	91.7%	90.5%	93%
31	99.3%	99.2%	99.3%	91.9%	90.7%	93.1%
30	99.3%	99.3%	99.4%	92%	90.9%	93.2%
29	99.3%	99.3%	99.4%	92.2%	91%	93.4%
28	99.3%	99.3%	99.4%	92.3%	91.2%	93.5%
27	99.4%	99.3%	99.4%	92.4%	91.4%	93.6%
26	99.4%	99.3%	99.4%	92.6%	91.5%	93.7%
25	99.4%	99.3%	99.4%	92.7%	91.7%	93.8%
24	99.4%	99.4%	99.4%	92.8%	91.9%	93.9%
23	99.4%	99.4%	99.4%	93%	92.1%	93.9%
22	99.4%	99.4%	99.5%	93.1%	92.2%	94%
21	99.4%	99.4%	99.5%	93.2%	92.4%	94.1%
20	99.5%	99.4%	99.5%	93.4%	92.6%	94.2%
19	99.5%	99.4%	99.5%	93.5%	92.7%	94.3%
18	99.5%	99.5%	99.5%	93.6%	92.9%	94.3%
17	99.5%	99.5%	99.5%	93.7%	93%	94.4%
16	99.5%	99.5%	99.5%	93.7%	93.1%	94.4%
15	99.5%	99.5%	99.5%	93.8%	93.2%	94.5%
14	99.5%	99.5%	99.5%	93.9%	93.3%	94.5%
13	99.5%	99.5%	99.5%	93.9%	93.3%	94.6%
12	99.5%	99.5%	99.5%	94%	93.4%	94.6%
11	99.5%	99.5%	99.5%	94%	93.5%	94.6%
10	99.5%	99.5%	99.5%	94.1%	93.5%	94.7%
9	99.5%	99.5%	99.6%	94.1%	93.6%	94.7%
8	99.5%	99.5%	99.6%	94.2%	93.6%	94.7%
7	99.6%	99.5%	99.6%	94.2%	93.7%	94.8%
6	99.6%	99.6%	99.6%	94.3%	93.8%	94.8%
5	99.6%	99.6%	99.6%	94.4%	93.9%	94.9%
4	99.6%	99.6%	99.6%	94.5%	94.1%	95%
3	99.6%	99.6%	99.6%	94.7%	94.3%	95.2%
2	99.6%	99.6%	99.6%	95%	94.6%	95.4%
1	99.6%	99.6%	99.6%	95.3%	94.9%	95.8%

This chart shows the odds of living to each age from birth. 97.1% of newborns in Monaco and 78.5% in Pakistan are expected to live past 60, 92.7% and 61.4% past 70, 78.7% and 31.7% past 80, and only 44.5% 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

Monaco

Male

Female

Pakistan

Male

Female

1x

Age	Probability of dying
	Monaco			Pakistan
	Average	Male	Female	Average	Male	Female
100	23.4%	28.5%	20.9%	46%	47.6%	45.4%
99	21.9%	26.7%	19.5%	43.8%	45.7%	43%
98	20.2%	24.7%	17.8%	41.9%	43.7%	41%
97	18.6%	22.7%	16.2%	39.8%	41.7%	38.9%
96	17%	20.9%	14.7%	37.7%	39.8%	36.6%
95	15.6%	19.1%	13.4%	35.5%	37.9%	34.2%
94	14.2%	17.4%	12.1%	33.2%	35.9%	31.7%
93	12.9%	15.8%	10.9%	31%	33.9%	29.4%
92	11.7%	14.4%	9.85%	28.9%	31.8%	27.1%
91	10.6%	13%	8.83%	26.9%	29.6%	25.1%
90	9.55%	11.7%	7.9%	24.9%	27.4%	23.2%
89	8.61%	10.5%	7.06%	23%	25.2%	21.5%
88	7.77%	9.46%	6.32%	21.3%	23.1%	19.9%
87	6.98%	8.5%	5.66%	19.6%	21.2%	18.4%
86	6.28%	7.62%	5.08%	18.1%	19.4%	17%
85	5.63%	6.83%	4.55%	16.6%	17.9%	15.7%
84	5.04%	6.1%	4.07%	15.3%	16.4%	14.3%
83	4.49%	5.43%	3.62%	14%	15.1%	13.1%
82	3.97%	4.82%	3.19%	12.8%	13.9%	11.9%
81	3.49%	4.26%	2.79%	11.6%	12.7%	10.7%
80	3.07%	3.75%	2.42%	10.5%	11.7%	9.64%
79	2.69%	3.31%	2.09%	9.54%	10.7%	8.66%
78	2.36%	2.91%	1.8%	8.64%	9.71%	7.77%
77	2.07%	2.58%	1.56%	7.82%	8.86%	6.98%
76	1.83%	2.28%	1.35%	7.08%	8.08%	6.28%
75	1.62%	2.03%	1.18%	6.43%	7.38%	5.65%
74	1.43%	1.81%	1.03%	5.84%	6.74%	5.09%
73	1.27%	1.62%	0.91%	5.3%	6.16%	4.58%
72	1.12%	1.44%	0.8%	4.82%	5.63%	4.12%
71	0.99%	1.29%	0.7%	4.37%	5.14%	3.7%
70	0.88%	1.14%	0.61%	3.97%	4.7%	3.32%
69	0.78%	1.01%	0.53%	3.6%	4.29%	2.98%
68	0.68%	0.89%	0.46%	3.26%	3.91%	2.67%
67	0.59%	0.78%	0.4%	2.96%	3.57%	2.4%
66	0.52%	0.69%	0.35%	2.68%	3.27%	2.15%
65	0.45%	0.6%	0.3%	2.44%	2.99%	1.93%
64	0.4%	0.53%	0.26%	2.22%	2.74%	1.74%
63	0.35%	0.47%	0.23%	2.02%	2.51%	1.57%
62	0.31%	0.43%	0.2%	1.85%	2.3%	1.42%
61	0.28%	0.38%	0.18%	1.69%	2.11%	1.29%
60	0.26%	0.35%	0.17%	1.54%	1.93%	1.17%
59	0.23%	0.32%	0.15%	1.41%	1.77%	1.07%
58	0.21%	0.29%	0.14%	1.29%	1.62%	0.97%
57	0.19%	0.26%	0.13%	1.18%	1.48%	0.89%
56	0.17%	0.23%	0.12%	1.08%	1.35%	0.82%
55	0.15%	0.2%	0.11%	0.99%	1.23%	0.75%
54	0.13%	0.18%	0.1%	0.9%	1.12%	0.69%
53	0.12%	0.15%	0.09%	0.83%	1.02%	0.63%
52	0.11%	0.14%	0.08%	0.76%	0.93%	0.58%
51	0.1%	0.12%	0.07%	0.69%	0.85%	0.54%
50	0.09%	0.11%	0.07%	0.64%	0.78%	0.5%
49	0.08%	0.1%	0.06%	0.59%	0.71%	0.46%
48	0.07%	0.09%	0.06%	0.54%	0.65%	0.42%
47	0.06%	0.08%	0.05%	0.49%	0.6%	0.39%
46	0.06%	0.07%	0.05%	0.45%	0.54%	0.35%
45	0.05%	0.06%	0.04%	0.41%	0.5%	0.33%
44	0.05%	0.05%	0.04%	0.38%	0.46%	0.3%
43	0.04%	0.05%	0.04%	0.35%	0.42%	0.27%
42	0.04%	0.04%	0.03%	0.32%	0.38%	0.25%
41	0.03%	0.04%	0.03%	0.3%	0.35%	0.24%
40	0.03%	0.03%	0.03%	0.27%	0.33%	0.22%
39	0.03%	0.03%	0.03%	0.26%	0.31%	0.2%
38	0.03%	0.03%	0.02%	0.24%	0.29%	0.19%
37	0.02%	0.03%	0.02%	0.23%	0.27%	0.18%
36	0.02%	0.02%	0.02%	0.21%	0.25%	0.17%
35	0.02%	0.02%	0.02%	0.2%	0.24%	0.16%
34	0.02%	0.02%	0.02%	0.19%	0.23%	0.15%
33	0.02%	0.02%	0.02%	0.18%	0.22%	0.14%
32	0.02%	0.02%	0.02%	0.17%	0.21%	0.14%
31	0.02%	0.02%	0.02%	0.17%	0.2%	0.13%
30	0.02%	0.02%	0.02%	0.16%	0.2%	0.12%
29	0.02%	0.02%	0.02%	0.16%	0.19%	0.12%
28	0.02%	0.02%	0.01%	0.15%	0.19%	0.11%
27	0.02%	0.02%	0.01%	0.15%	0.19%	0.11%
26	0.02%	0.02%	0.01%	0.15%	0.19%	0.11%
25	0.02%	0.02%	0.01%	0.15%	0.19%	0.1%
24	0.02%	0.02%	0.01%	0.15%	0.19%	0.1%
23	0.02%	0.02%	0.01%	0.14%	0.19%	0.1%
22	0.01%	0.02%	0.01%	0.14%	0.19%	0.09%
21	0.01%	0.02%	0.01%	0.14%	0.18%	0.09%
20	0.01%	0.02%	0.01%	0.13%	0.17%	0.08%
19	0.01%	0.02%	0.01%	0.12%	0.16%	0.08%
18	0.01%	0.01%	0.009%	0.11%	0.15%	0.07%
17	0.01%	0.01%	0.008%	0.1%	0.13%	0.06%
16	0.009%	0.01%	0.007%	0.09%	0.11%	0.06%
15	0.008%	0.009%	0.006%	0.08%	0.1%	0.05%
14	0.007%	0.008%	0.006%	0.07%	0.09%	0.05%
13	0.006%	0.007%	0.005%	0.06%	0.08%	0.04%
12	0.005%	0.006%	0.005%	0.05%	0.07%	0.04%
11	0.005%	0.006%	0.005%	0.05%	0.07%	0.04%
10	0.005%	0.006%	0.005%	0.05%	0.07%	0.03%
9	0.006%	0.006%	0.005%	0.05%	0.07%	0.03%
8	0.006%	0.007%	0.005%	0.06%	0.07%	0.04%
7	0.007%	0.007%	0.006%	0.06%	0.09%	0.04%
6	0.008%	0.008%	0.007%	0.08%	0.1%	0.05%
5	0.009%	0.009%	0.009%	0.1%	0.13%	0.07%
4	0.01%	0.01%	0.01%	0.13%	0.16%	0.1%
3	0.01%	0.01%	0.01%	0.19%	0.21%	0.16%
2	0.02%	0.01%	0.02%	0.27%	0.28%	0.26%
1	0.02%	0.01%	0.03%	0.4%	0.37%	0.42%
0	0.37%	0.39%	0.35%	4.65%	5.09%	4.19%

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

The annual chance of dying is 0.37% in the birth year in Monaco and 4.65% in Pakistan, 0.02% vs 0.16% at age 30, 0.26% vs 1.54% at 60, and 3.07% vs 10.5% at 80.

Death rate by age in Monaco vs Pakistan

Chart Table

Monaco

Male

Female

Pakistan

Male

Female

1x

Age	Death rate
	Monaco			Pakistan
	Total	Male	Female	Total	Male	Female
100	2,061	1,279	2,888	0	0	0
99	2,366	1,666	3,112	58.8	30.2	94.6
98	2,737	2,047	3,458	96.7	51.2	153
97	3,088	2,442	3,761	152.8	83.9	237.3
96	3,410	2,834	4,012	231.9	132.9	352
95	3,692	3,205	4,204	338	203.5	500
94	3,925	3,540	4,333	475	301	680
93	4,101	3,824	4,393	643	431	890
92	4,209	4,045	4,384	843	593	1,128
91	4,255	4,200	4,311	1,071	785	1,390
90	4,245	4,288	4,187	1,322	1,000	1,675
89	4,188	4,314	4,027	1,588	1,230	1,977
88	4,096	4,284	3,846	1,862	1,467	2,288
87	3,958	4,205	3,654	2,135	1,705	2,597
86	3,797	4,083	3,454	2,400	1,941	2,889
85	3,611	3,925	3,245	2,648	2,171	3,152
84	3,402	3,735	3,024	2,868	2,391	3,370
83	3,174	3,516	2,787	3,053	2,593	3,533
82	2,921	3,276	2,537	3,195	2,768	3,635
81	2,665	3,024	2,281	3,290	2,909	3,677
80	2,413	2,769	2,028	3,339	3,013	3,663
79	2,173	2,523	1,789	3,344	3,080	3,603
78	1,954	2,291	1,573	3,312	3,111	3,507
77	1,753	2,079	1,381	3,250	3,113	3,386
76	1,575	1,886	1,215	3,169	3,091	3,248
75	1,418	1,713	1,072	3,074	3,047	3,097
74	1,271	1,556	948	2,965	2,985	2,939
73	1,140	1,412	840	2,845	2,907	2,773
72	1,024	1,279	744	2,714	2,815	2,602
71	914	1,154	658	2,576	2,711	2,428
70	815	1,038	580	2,433	2,597	2,254
69	725	928	509	2,289	2,477	2,083
68	639	826	444	2,145	2,353	1,919
67	561	731	385	2,005	2,229	1,763
66	491	646	334	1,871	2,106	1,617
65	431	571	289.1	1,743	1,986	1,482
64	381	506	251.9	1,622	1,869	1,358
63	338	452	221.7	1,509	1,756	1,245
62	302	407	197.5	1,403	1,648	1,142
61	272.3	370	178.2	1,304	1,544	1,049
60	249.4	337	162.6	1,211	1,443	965
59	228.4	307	149.4	1,124	1,345	889
58	206.5	278.4	137.5	1,041	1,251	819
57	185.8	249.9	126.3	964	1,159	756
56	166.8	222	115.7	890	1,072	698
55	148.4	195.7	105.6	822	989	646
54	132.4	171.9	96.2	758	911	598
53	117.9	151.3	87.8	700	838	554
52	105.8	133.9	80.5	646	772	513
51	95.9	119.3	74	597	711	476
50	86.1	106.8	68.2	551	656	441
49	77.9	95.8	62.9	509	605	409
48	70.8	85.7	57.9	470	557	378
47	63.7	76.2	53	433	513	348
46	57.1	67.3	48.3	398	472	321
45	50.9	59.2	43.9	366	434	294.9
44	45.5	51.9	39.8	337	399	271.4
43	40.8	45.7	36.2	310	367	250.3
42	36.7	40.4	33.1	286.7	339	231.7
41	33.3	36.1	30.5	265.8	314	215.3
40	30.4	32.6	28.2	247.4	291.4	200.9
39	28	29.7	26.3	231.3	272	188.2
38	26	27.3	24.6	217.2	255.1	176.8
37	24.2	25.3	23	204.7	240.4	166.4
36	22.6	23.5	21.6	193.6	227.5	156.9
35	21.2	22.1	20.3	183.5	216.3	148.2
34	20	20.8	19.1	174.5	206.3	140.2
33	18.9	19.7	18.1	166.4	197.5	133
32	18	18.7	17.1	159.3	189.7	126.4
31	17.2	18	16.3	153	183	120.6
30	16.6	17.4	15.7	147.6	177.5	115.4
29	16.1	17	15	143.3	173.5	110.9
28	15.7	16.8	14.5	140.1	171.1	106.9
27	15.4	16.8	13.9	137.9	170.3	103.3
26	15.3	17	13.4	136.6	170.9	100
25	15.1	17.3	12.9	135.8	172.4	96.8
24	15.1	17.6	12.5	135	174	93.4
23	15	17.9	11.9	133.5	174.7	89.7
22	14.8	18.1	11.4	130.8	173.4	85.6
21	14.5	17.9	10.9	126.5	169.1	81
20	13.9	17.4	10.2	120	161.3	76
19	13	16.3	9.55	111.7	150	70.8
18	11.8	14.7	8.77	101.9	136.1	65.5
17	10.4	12.8	7.94	91.4	120.7	60.3
16	9.02	10.9	7.11	81	105.3	55.2
15	7.74	9.1	6.34	71.4	91.2	50.3
14	6.68	7.66	5.68	63	79.4	45.7
13	5.91	6.64	5.17	56.3	70.4	41.3
12	5.42	6.01	4.83	51.4	64.4	37.6
11	5.2	5.75	4.65	48.3	61.3	34.6
10	5.23	5.78	4.66	47.3	61.1	32.8
9	5.5	6.09	4.88	48.6	63.8	32.6
8	5.99	6.63	5.33	52.7	69.9	34.6
7	6.73	7.36	6.09	60.5	80.3	39.7
6	7.75	8.24	7.23	73.5	96.2	49.5
5	9.08	9.24	8.91	94.2	119.5	67.4
4	10.8	10.3	11.3	126.6	153	98.7
3	13	11.5	14.6	177	199.9	152.9
2	15.9	12.9	19.1	255.7	265	245.8
1	19.6	14.3	25.2	378	354	403
0	368	386	350	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 Monaco, the most common age of death is 91, compared to 0 in Pakistan. The median age of death is 88.7 in Monaco 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 Monaco and Pakistan more than their death rates.

Life expectancy in other countries

+ -

1x