Life Expectancy in Monaco vs Zimbabwe (1950-2026)

Life expectancy by current age

Chart Table

Monaco

Male

Female

Zimbabwe

Male

Female

1x

Current age, years	Total life expectancy, years
	Monaco			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	103.1	102.6	103.3	102.2	101.9	102.2
99	102.3	101.8	102.6	101.2	101	101.3
98	101.5	101	101.9	100.4	100.1	100.4
97	100.8	100.2	101.2	99.5	99.2	99.5
96	100.1	99.4	100.5	98.6	98.4	98.7
95	99.3	98.7	99.8	97.7	97.5	97.8
94	98.7	97.9	99.2	96.9	96.6	97
93	98	97.2	98.5	96	95.7	96.1
92	97.3	96.6	97.9	95.2	94.9	95.3
91	96.7	95.9	97.4	94.4	94	94.5
90	96.1	95.3	96.8	93.6	93.2	93.8
89	95.6	94.7	96.3	92.8	92.4	93
88	95	94.1	95.8	92	91.6	92.2
87	94.5	93.5	95.4	91.2	90.8	91.5
86	94	93	94.9	90.5	90	90.8
85	93.5	92.5	94.5	89.8	89.2	90.1
84	93.1	92	94.1	89	88.4	89.4
83	92.6	91.5	93.7	88.4	87.7	88.7
82	92.2	91.1	93.3	87.7	87	88.1
81	91.9	90.7	93	87	86.3	87.5
80	91.5	90.3	92.7	86.4	85.6	86.9
79	91.2	89.9	92.4	85.8	84.9	86.3
78	90.9	89.6	92.2	85.1	84.2	85.7
77	90.6	89.3	91.9	84.5	83.6	85.2
76	90.3	89	91.7	83.9	83	84.6
75	90.1	88.7	91.5	83.4	82.3	84.1
74	89.9	88.5	91.4	82.8	81.7	83.5
73	89.7	88.2	91.2	82.2	81.2	83
72	89.5	88	91.1	81.7	80.6	82.5
71	89.3	87.8	90.9	81.2	80	82.1
70	89.1	87.6	90.8	80.7	79.5	81.6
69	89	87.4	90.7	80.2	79	81.1
68	88.8	87.2	90.6	79.7	78.4	80.7
67	88.7	87.1	90.5	79.2	77.9	80.2
66	88.6	86.9	90.4	78.8	77.5	79.8
65	88.5	86.8	90.3	78.3	77	79.4
64	88.4	86.7	90.3	77.9	76.5	79
63	88.3	86.6	90.2	77.5	76.1	78.6
62	88.2	86.5	90.1	77.1	75.6	78.2
61	88.2	86.4	90.1	76.7	75.2	77.9
60	88.1	86.3	90	76.3	74.8	77.5
59	88	86.2	90	75.9	74.4	77.2
58	88	86.1	90	75.6	74	76.9
57	87.9	86.1	89.9	75.2	73.6	76.6
56	87.9	86	89.9	74.9	73.2	76.3
55	87.8	85.9	89.8	74.6	72.8	76
54	87.8	85.9	89.8	74.2	72.5	75.7
53	87.7	85.8	89.8	73.9	72.1	75.4
52	87.7	85.8	89.7	73.6	71.8	75.1
51	87.6	85.7	89.7	73.3	71.4	74.8
50	87.6	85.7	89.7	73	71.1	74.6
49	87.6	85.7	89.7	72.7	70.8	74.3
48	87.6	85.6	89.6	72.5	70.5	74
47	87.5	85.6	89.6	72.2	70.2	73.8
46	87.5	85.6	89.6	71.9	69.9	73.6
45	87.5	85.6	89.6	71.7	69.6	73.3
44	87.5	85.5	89.5	71.4	69.3	73.1
43	87.4	85.5	89.5	71.2	69	72.9
42	87.4	85.5	89.5	70.9	68.7	72.7
41	87.4	85.5	89.5	70.7	68.5	72.5
40	87.4	85.5	89.5	70.5	68.2	72.2
39	87.4	85.5	89.5	70.2	68	72
38	87.4	85.4	89.5	70	67.8	71.9
37	87.4	85.4	89.4	69.8	67.5	71.7
36	87.3	85.4	89.4	69.6	67.3	71.5
35	87.3	85.4	89.4	69.4	67.1	71.3
34	87.3	85.4	89.4	69.2	66.9	71.1
33	87.3	85.4	89.4	69	66.7	71
32	87.3	85.4	89.4	68.9	66.5	70.8
31	87.3	85.4	89.4	68.7	66.3	70.6
30	87.3	85.4	89.4	68.5	66.2	70.5
29	87.3	85.3	89.4	68.4	66	70.4
28	87.3	85.3	89.4	68.2	65.8	70.2
27	87.3	85.3	89.4	68.1	65.7	70.1
26	87.2	85.3	89.3	68	65.5	70
25	87.2	85.3	89.3	67.8	65.4	69.8
24	87.2	85.3	89.3	67.7	65.3	69.7
23	87.2	85.3	89.3	67.6	65.1	69.6
22	87.2	85.3	89.3	67.5	65	69.5
21	87.2	85.3	89.3	67.4	64.9	69.4
20	87.2	85.2	89.3	67.3	64.8	69.3
19	87.2	85.2	89.3	67.2	64.7	69.3
18	87.2	85.2	89.3	67.1	64.6	69.2
17	87.2	85.2	89.3	67	64.5	69.1
16	87.2	85.2	89.3	67	64.4	69.1
15	87.2	85.2	89.3	66.9	64.4	69
14	87.1	85.2	89.3	66.8	64.3	69
13	87.1	85.2	89.3	66.8	64.3	68.9
12	87.1	85.2	89.3	66.8	64.2	68.9
11	87.1	85.2	89.3	66.7	64.2	68.8
10	87.1	85.2	89.2	66.7	64.2	68.8
9	87.1	85.2	89.2	66.6	64.1	68.8
8	87.1	85.2	89.2	66.6	64.1	68.7
7	87.1	85.2	89.2	66.5	64	68.7
6	87.1	85.2	89.2	66.5	64	68.6
5	87.1	85.2	89.2	66.4	63.9	68.5
4	87.1	85.1	89.2	66.3	63.8	68.4
3	87.1	85.1	89.2	66.2	63.6	68.3
2	87.1	85.1	89.2	66	63.5	68.1
1	87.1	85.1	89.2	65.6	63.2	67.7
0	86.7	84.8	88.8	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 Monaco can expect to live to 87.3 years compared to 68.5 in Zimbabwe, rising to 88.5 and 78.3 at 65, and to 91.5 and 86.4 at 80 — higher than the 86.7 and 63.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Monaco

Male

Female

Zimbabwe

Male

Female

1x

Age	Survival probability
	Monaco			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	8.43%	4.58%	12.9%	0.2%	0.07%	0.33%
99	10.8%	6.25%	16%	0.31%	0.12%	0.5%
98	13.5%	8.3%	19.4%	0.46%	0.18%	0.73%
97	16.6%	10.7%	23.2%	0.66%	0.27%	1.05%
96	20%	13.6%	27.2%	0.94%	0.4%	1.47%
95	23.7%	16.8%	31.4%	1.3%	0.59%	2.02%
94	27.7%	20.3%	35.7%	1.77%	0.83%	2.71%
93	31.8%	24.1%	40.1%	2.36%	1.15%	3.55%
92	36%	28.2%	44.5%	3.08%	1.57%	4.57%
91	40.2%	32.4%	48.8%	3.95%	2.09%	5.75%
90	44.5%	36.7%	53%	4.99%	2.73%	7.15%
89	48.7%	41%	57.1%	6.18%	3.51%	8.72%
88	52.7%	45.3%	60.9%	7.56%	4.44%	10.5%
87	56.7%	49.5%	64.6%	9.1%	5.53%	12.4%
86	60.5%	53.6%	68%	10.8%	6.78%	14.5%
85	64.1%	57.5%	71.2%	12.7%	8.2%	16.8%
84	67.5%	61.2%	74.3%	14.7%	9.78%	19.1%
83	70.7%	64.7%	77.1%	16.8%	11.5%	21.5%
82	73.6%	68%	79.6%	19%	13.4%	24%
81	76.3%	71%	81.9%	21.2%	15.4%	26.4%
80	78.7%	73.8%	83.9%	23.5%	17.5%	28.8%
79	80.9%	76.3%	85.7%	25.9%	19.7%	31.3%
78	82.8%	78.6%	87.3%	28.3%	21.9%	33.8%
77	84.6%	80.7%	88.6%	30.7%	24.3%	36.3%
76	86.1%	82.6%	89.9%	33.2%	26.6%	38.7%
75	87.6%	84.3%	90.9%	35.6%	29%	41.2%
74	88.8%	85.9%	91.9%	38%	31.4%	43.6%
73	90%	87.3%	92.7%	40.4%	33.9%	45.9%
72	91%	88.5%	93.5%	42.8%	36.3%	48.2%
71	91.9%	89.7%	94.1%	45.1%	38.6%	50.4%
70	92.7%	90.7%	94.7%	47.3%	40.9%	52.6%
69	93.4%	91.7%	95.2%	49.5%	43.2%	54.7%
68	94.1%	92.5%	95.7%	51.6%	45.4%	56.7%
67	94.6%	93.2%	96%	53.6%	47.6%	58.6%
66	95.1%	93.9%	96.4%	55.6%	49.7%	60.5%
65	95.6%	94.4%	96.7%	57.6%	51.8%	62.3%
64	96%	94.9%	96.9%	59.5%	53.8%	64%
63	96.3%	95.4%	97.1%	61.2%	55.8%	65.7%
62	96.6%	95.8%	97.3%	63%	57.7%	67.2%
61	96.9%	96.2%	97.5%	64.6%	59.5%	68.7%
60	97.1%	96.5%	97.7%	66.2%	61.2%	70.1%
59	97.3%	96.8%	97.8%	67.6%	62.9%	71.4%
58	97.5%	97.1%	98%	69.1%	64.5%	72.7%
57	97.7%	97.3%	98.1%	70.4%	66%	73.9%
56	97.9%	97.6%	98.2%	71.7%	67.5%	75%
55	98%	97.8%	98.3%	72.9%	69%	76.1%
54	98.2%	97.9%	98.4%	74.1%	70.3%	77.2%
53	98.3%	98.1%	98.5%	75.2%	71.7%	78.2%
52	98.4%	98.2%	98.6%	76.3%	73%	79.1%
51	98.5%	98.3%	98.7%	77.4%	74.2%	80.1%
50	98.6%	98.4%	98.7%	78.4%	75.4%	81%
49	98.7%	98.5%	98.8%	79.4%	76.6%	81.8%
48	98.7%	98.6%	98.8%	80.3%	77.7%	82.6%
47	98.8%	98.7%	98.9%	81.2%	78.7%	83.4%
46	98.9%	98.8%	98.9%	82%	79.7%	84.1%
45	98.9%	98.8%	99%	82.9%	80.7%	84.8%
44	99%	98.9%	99%	83.6%	81.6%	85.5%
43	99%	98.9%	99.1%	84.4%	82.5%	86.1%
42	99%	99%	99.1%	85.1%	83.3%	86.7%
41	99.1%	99%	99.1%	85.8%	84.1%	87.3%
40	99.1%	99%	99.2%	86.4%	84.9%	87.9%
39	99.1%	99.1%	99.2%	87.1%	85.6%	88.4%
38	99.1%	99.1%	99.2%	87.7%	86.3%	89%
37	99.2%	99.1%	99.2%	88.2%	86.9%	89.5%
36	99.2%	99.1%	99.2%	88.8%	87.5%	89.9%
35	99.2%	99.2%	99.3%	89.3%	88.1%	90.4%
34	99.2%	99.2%	99.3%	89.8%	88.7%	90.8%
33	99.3%	99.2%	99.3%	90.2%	89.2%	91.2%
32	99.3%	99.2%	99.3%	90.7%	89.7%	91.6%
31	99.3%	99.2%	99.3%	91.1%	90.1%	91.9%
30	99.3%	99.3%	99.4%	91.4%	90.6%	92.3%
29	99.3%	99.3%	99.4%	91.8%	91%	92.6%
28	99.3%	99.3%	99.4%	92.1%	91.4%	92.9%
27	99.4%	99.3%	99.4%	92.5%	91.7%	93.2%
26	99.4%	99.3%	99.4%	92.8%	92.1%	93.5%
25	99.4%	99.3%	99.4%	93.1%	92.4%	93.7%
24	99.4%	99.4%	99.4%	93.3%	92.7%	93.9%
23	99.4%	99.4%	99.4%	93.6%	93%	94.2%
22	99.4%	99.4%	99.5%	93.8%	93.3%	94.4%
21	99.4%	99.4%	99.5%	94%	93.5%	94.5%
20	99.5%	99.4%	99.5%	94.2%	93.8%	94.7%
19	99.5%	99.4%	99.5%	94.4%	94%	94.9%
18	99.5%	99.5%	99.5%	94.6%	94.2%	95%
17	99.5%	99.5%	99.5%	94.7%	94.3%	95.1%
16	99.5%	99.5%	99.5%	94.8%	94.5%	95.2%
15	99.5%	99.5%	99.5%	94.9%	94.6%	95.3%
14	99.5%	99.5%	99.5%	95%	94.7%	95.4%
13	99.5%	99.5%	99.5%	95.1%	94.8%	95.5%
12	99.5%	99.5%	99.5%	95.2%	94.8%	95.6%
11	99.5%	99.5%	99.5%	95.3%	94.9%	95.6%
10	99.5%	99.5%	99.5%	95.3%	95%	95.7%
9	99.5%	99.5%	99.6%	95.4%	95.1%	95.8%
8	99.5%	99.5%	99.6%	95.5%	95.1%	95.8%
7	99.6%	99.5%	99.6%	95.6%	95.2%	95.9%
6	99.6%	99.6%	99.6%	95.7%	95.3%	96%
5	99.6%	99.6%	99.6%	95.8%	95.5%	96.1%
4	99.6%	99.6%	99.6%	95.9%	95.6%	96.3%
3	99.6%	99.6%	99.6%	96.2%	95.8%	96.5%
2	99.6%	99.6%	99.6%	96.5%	96.1%	96.8%
1	99.6%	99.6%	99.6%	96.9%	96.6%	97.3%

This chart shows the odds of living to each age from birth. 97.1% of newborns in Monaco and 66.2% in Zimbabwe are expected to live past 60, 92.7% and 47.3% past 70, 78.7% and 23.5% past 80, and only 44.5% 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

Monaco

Male

Female

Zimbabwe

Male

Female

1x

Age	Probability of dying
	Monaco			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	23.4%	28.5%	20.9%	35.7%	38.2%	35%
99	21.9%	26.7%	19.5%	34.3%	36.9%	33.6%
98	20.2%	24.7%	17.8%	32.4%	35.2%	31.7%
97	18.6%	22.7%	16.2%	31.1%	33.9%	30.2%
96	17%	20.9%	14.7%	29.6%	32.5%	28.7%
95	15.6%	19.1%	13.4%	28.1%	31%	27.1%
94	14.2%	17.4%	12.1%	26.4%	29.5%	25.4%
93	12.9%	15.8%	10.9%	24.9%	27.9%	23.7%
92	11.7%	14.4%	9.85%	23.5%	26.4%	22.2%
91	10.6%	13%	8.83%	21.9%	24.9%	20.6%
90	9.55%	11.7%	7.9%	20.9%	23.7%	19.6%
89	8.61%	10.5%	7.06%	19.3%	22.2%	18%
88	7.77%	9.46%	6.32%	18.2%	20.9%	16.8%
87	6.98%	8.5%	5.66%	16.9%	19.7%	15.6%
86	6.28%	7.62%	5.08%	15.8%	18.5%	14.5%
85	5.63%	6.83%	4.55%	14.7%	17.3%	13.3%
84	5.04%	6.1%	4.07%	13.6%	16.2%	12.3%
83	4.49%	5.43%	3.62%	12.5%	15%	11.2%
82	3.97%	4.82%	3.19%	11.6%	14%	10.2%
81	3.49%	4.26%	2.79%	10.5%	12.9%	9.17%
80	3.07%	3.75%	2.42%	9.89%	12.1%	8.58%
79	2.69%	3.31%	2.09%	9.11%	11.1%	7.87%
78	2.36%	2.91%	1.8%	8.54%	10.4%	7.38%
77	2.07%	2.58%	1.56%	7.89%	9.57%	6.81%
76	1.83%	2.28%	1.35%	7.37%	8.9%	6.37%
75	1.62%	2.03%	1.18%	6.87%	8.28%	5.94%
74	1.43%	1.81%	1.03%	6.38%	7.68%	5.51%
73	1.27%	1.62%	0.91%	5.92%	7.12%	5.11%
72	1.12%	1.44%	0.8%	5.51%	6.62%	4.76%
71	0.99%	1.29%	0.7%	5.06%	6.09%	4.37%
70	0.88%	1.14%	0.61%	4.75%	5.7%	4.11%
69	0.78%	1.01%	0.53%	4.38%	5.25%	3.78%
68	0.68%	0.89%	0.46%	4.09%	4.9%	3.54%
67	0.59%	0.78%	0.4%	3.82%	4.56%	3.31%
66	0.52%	0.69%	0.35%	3.58%	4.26%	3.1%
65	0.45%	0.6%	0.3%	3.38%	4.01%	2.93%
64	0.4%	0.53%	0.26%	3.14%	3.74%	2.7%
63	0.35%	0.47%	0.23%	2.92%	3.5%	2.49%
62	0.31%	0.43%	0.2%	2.73%	3.28%	2.31%
61	0.28%	0.38%	0.18%	2.53%	3.04%	2.13%
60	0.26%	0.35%	0.17%	2.37%	2.87%	1.99%
59	0.23%	0.32%	0.15%	2.19%	2.65%	1.85%
58	0.21%	0.29%	0.14%	2.04%	2.48%	1.73%
57	0.19%	0.26%	0.13%	1.91%	2.33%	1.62%
56	0.17%	0.23%	0.12%	1.79%	2.2%	1.53%
55	0.15%	0.2%	0.11%	1.69%	2.09%	1.44%
54	0.13%	0.18%	0.1%	1.6%	1.97%	1.36%
53	0.12%	0.15%	0.09%	1.52%	1.87%	1.29%
52	0.11%	0.14%	0.08%	1.44%	1.78%	1.23%
51	0.1%	0.12%	0.07%	1.36%	1.68%	1.15%
50	0.09%	0.11%	0.07%	1.3%	1.6%	1.1%
49	0.08%	0.1%	0.06%	1.22%	1.5%	1.03%
48	0.07%	0.09%	0.06%	1.16%	1.41%	0.98%
47	0.06%	0.08%	0.05%	1.09%	1.33%	0.92%
46	0.06%	0.07%	0.05%	1.04%	1.25%	0.87%
45	0.05%	0.06%	0.04%	0.99%	1.19%	0.83%
44	0.05%	0.05%	0.04%	0.93%	1.12%	0.78%
43	0.04%	0.05%	0.04%	0.89%	1.06%	0.75%
42	0.04%	0.04%	0.03%	0.84%	1%	0.71%
41	0.03%	0.04%	0.03%	0.8%	0.95%	0.68%
40	0.03%	0.03%	0.03%	0.76%	0.9%	0.65%
39	0.03%	0.03%	0.03%	0.72%	0.85%	0.62%
38	0.03%	0.03%	0.02%	0.68%	0.8%	0.59%
37	0.02%	0.03%	0.02%	0.64%	0.75%	0.55%
36	0.02%	0.02%	0.02%	0.61%	0.71%	0.53%
35	0.02%	0.02%	0.02%	0.57%	0.66%	0.5%
34	0.02%	0.02%	0.02%	0.54%	0.62%	0.47%
33	0.02%	0.02%	0.02%	0.5%	0.58%	0.44%
32	0.02%	0.02%	0.02%	0.47%	0.54%	0.41%
31	0.02%	0.02%	0.02%	0.44%	0.51%	0.39%
30	0.02%	0.02%	0.02%	0.42%	0.48%	0.37%
29	0.02%	0.02%	0.02%	0.4%	0.45%	0.35%
28	0.02%	0.02%	0.01%	0.37%	0.42%	0.33%
27	0.02%	0.02%	0.01%	0.35%	0.4%	0.31%
26	0.02%	0.02%	0.01%	0.33%	0.37%	0.29%
25	0.02%	0.02%	0.01%	0.31%	0.35%	0.26%
24	0.02%	0.02%	0.01%	0.29%	0.33%	0.25%
23	0.02%	0.02%	0.01%	0.27%	0.31%	0.23%
22	0.01%	0.02%	0.01%	0.25%	0.29%	0.21%
21	0.01%	0.02%	0.01%	0.23%	0.27%	0.19%
20	0.01%	0.02%	0.01%	0.21%	0.25%	0.18%
19	0.01%	0.02%	0.01%	0.19%	0.22%	0.16%
18	0.01%	0.01%	0.009%	0.17%	0.2%	0.15%
17	0.01%	0.01%	0.008%	0.15%	0.17%	0.13%
16	0.009%	0.01%	0.007%	0.13%	0.14%	0.12%
15	0.008%	0.009%	0.006%	0.11%	0.12%	0.1%
14	0.007%	0.008%	0.006%	0.1%	0.1%	0.09%
13	0.006%	0.007%	0.005%	0.08%	0.09%	0.08%
12	0.005%	0.006%	0.005%	0.08%	0.08%	0.07%
11	0.005%	0.006%	0.005%	0.07%	0.08%	0.07%
10	0.005%	0.006%	0.005%	0.07%	0.08%	0.07%
9	0.006%	0.006%	0.005%	0.08%	0.08%	0.07%
8	0.006%	0.007%	0.005%	0.08%	0.09%	0.08%
7	0.007%	0.007%	0.006%	0.09%	0.1%	0.09%
6	0.008%	0.008%	0.007%	0.1%	0.11%	0.1%
5	0.009%	0.009%	0.009%	0.12%	0.13%	0.12%
4	0.01%	0.01%	0.01%	0.16%	0.17%	0.16%
3	0.01%	0.01%	0.01%	0.22%	0.22%	0.22%
2	0.02%	0.01%	0.02%	0.32%	0.32%	0.32%
1	0.02%	0.01%	0.03%	0.5%	0.48%	0.52%
0	0.37%	0.39%	0.35%	3.05%	3.4%	2.7%

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

The annual chance of dying is 0.37% in the birth year in Monaco and 3.05% in Zimbabwe, 0.02% vs 0.42% at age 30, 0.26% vs 2.37% at 60, and 3.07% vs 9.89% at 80.

Death rate by age in Monaco vs Zimbabwe

Chart Table

Monaco

Male

Female

Zimbabwe

Male

Female

1x

Age	Death rate
	Monaco			Zimbabwe
	Total	Male	Female	Total	Male	Female
100	2,061	1,279	2,888	24.9	0	53
99	2,366	1,666	3,112	105.4	43.2	168.4
98	2,737	2,047	3,458	147.6	63.5	232.4
97	3,088	2,442	3,761	205	92.4	318
96	3,410	2,834	4,012	277.6	131.3	423
95	3,692	3,205	4,204	366	181.8	548
94	3,925	3,540	4,333	469	244.7	687
93	4,101	3,824	4,393	588	322	843
92	4,209	4,045	4,384	724	414	1,016
91	4,255	4,200	4,311	863	518	1,184
90	4,245	4,288	4,187	1,040	647	1,401
89	4,188	4,314	4,027	1,196	779	1,570
88	4,096	4,284	3,846	1,372	930	1,762
87	3,958	4,205	3,654	1,540	1,088	1,934
86	3,797	4,083	3,454	1,709	1,253	2,102
85	3,611	3,925	3,245	1,858	1,418	2,232
84	3,402	3,735	3,024	1,999	1,583	2,345
83	3,174	3,516	2,787	2,102	1,730	2,403
82	2,921	3,276	2,537	2,197	1,873	2,450
81	2,665	3,024	2,281	2,235	1,982	2,419
80	2,413	2,769	2,028	2,328	2,113	2,474
79	2,173	2,523	1,789	2,358	2,186	2,465
78	1,954	2,291	1,573	2,416	2,272	2,497
77	1,753	2,079	1,381	2,424	2,321	2,470
76	1,575	1,886	1,215	2,444	2,370	2,468
75	1,418	1,713	1,072	2,448	2,404	2,446
74	1,271	1,556	948	2,427	2,414	2,401
73	1,140	1,412	840	2,393	2,412	2,346
72	1,024	1,279	744	2,356	2,400	2,294
71	914	1,154	658	2,281	2,352	2,203
70	815	1,038	580	2,250	2,336	2,164
69	725	928	509	2,166	2,269	2,069
68	639	826	444	2,111	2,224	2,007
67	561	731	385	2,050	2,172	1,938
66	491	646	334	1,993	2,121	1,875
65	431	571	289.1	1,945	2,075	1,824
64	381	506	251.9	1,866	2,014	1,726
63	338	452	221.7	1,790	1,952	1,636
62	302	407	197.5	1,718	1,890	1,553
61	272.3	370	178.2	1,632	1,809	1,463
60	249.4	337	162.6	1,571	1,756	1,398
59	228.4	307	149.4	1,481	1,664	1,318
58	206.5	278.4	137.5	1,411	1,599	1,257
57	185.8	249.9	126.3	1,341	1,537	1,197
56	166.8	222	115.7	1,284	1,485	1,146
55	148.4	195.7	105.6	1,233	1,440	1,097
54	132.4	171.9	96.2	1,184	1,389	1,052
53	117.9	151.3	87.8	1,140	1,342	1,009
52	105.8	133.9	80.5	1,100	1,298	971
51	95.9	119.3	74	1,050	1,245	925
50	86.1	106.8	68.2	1,018	1,207	892
49	77.9	95.8	62.9	969	1,146	846
48	70.8	85.7	57.9	929	1,096	806
47	63.7	76.2	53	888	1,046	766
46	57.1	67.3	48.3	850	1,000	731
45	50.9	59.2	43.9	816	958	702
44	45.5	51.9	39.8	779	911	669
43	40.8	45.7	36.2	747	871	642
42	36.7	40.4	33.1	717	834	617
41	33.3	36.1	30.5	685	795	592
40	30.4	32.6	28.2	659	766	571
39	28	29.7	26.3	627	725	545
38	26	27.3	24.6	599	691	522
37	24.2	25.3	23	568	655	496
36	22.6	23.5	21.6	539	619	473
35	21.2	22.1	20.3	512	586	450
34	20	20.8	19.1	481	550	423
33	18.9	19.7	18.1	453	517	400
32	18	18.7	17.1	428	487	379
31	17.2	18	16.3	403	458	356
30	16.6	17.4	15.7	385	436	341
29	16.1	17	15	363	409	323
28	15.7	16.8	14.5	343	387	303
27	15.4	16.8	13.9	324	365	286.2
26	15.3	17	13.4	304	344	267.1
25	15.1	17.3	12.9	286.4	326	248.2
24	15.1	17.6	12.5	268.5	307	231.1
23	15	17.9	11.9	251.5	289	214.4
22	14.8	18.1	11.4	234.1	270.1	198.3
21	14.5	17.9	10.9	216.1	249.9	182.2
20	13.9	17.4	10.2	200.4	229.9	170.6
19	13	16.3	9.55	182.4	209.2	155.3
18	11.8	14.7	8.77	164.9	188.9	140.6
17	10.4	12.8	7.94	143.2	161.3	124.9
16	9.02	10.9	7.11	122.8	135.4	110
15	7.74	9.1	6.34	106.1	114.9	97.1
14	6.68	7.66	5.68	90.9	97.8	83.9
13	5.91	6.64	5.17	80.4	85.9	74.8
12	5.42	6.01	4.83	73.9	79.4	68.4
11	5.2	5.75	4.65	70.9	76.1	65.5
10	5.23	5.78	4.66	70.4	74.5	66.2
9	5.5	6.09	4.88	72.9	76.9	68.8
8	5.99	6.63	5.33	78.6	83.3	73.8
7	6.73	7.36	6.09	87.5	92.4	82.5
6	7.75	8.24	7.23	98.5	103	94
5	9.08	9.24	8.91	116.6	119.9	113.1
4	10.8	10.3	11.3	153.9	157.9	149.8
3	13	11.5	14.6	211.7	213.4	209.9
2	15.9	12.9	19.1	308	305	311
1	19.6	14.3	25.2	484	463	505
0	368	386	350	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 Monaco, the most common age of death is 91, compared to 0 in Zimbabwe. The median age of death is 88.7 in Monaco 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 Monaco and Zimbabwe more than their death rates.

Life expectancy in other countries

+ -

1x