Life Expectancy in Monaco vs Zimbabwe (1950-2026)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in Monaco vs Zimbabwe: 87.3 years vs 68.5 at 30, 88.5 vs 78.3 at 65, 91.5 vs 86.4 at 80 — significantly higher than the 86.7 vs 63.6 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Monaco and Zimbabwe.

Table

Current age, years	Total life expectancy, years
	Monaco			Zimbabwe
	Average	Male	Female	Average	Male	Female
0	86.7	84.8	88.8	63.6	61	65.9
1	87.1	85.1	89.2	65.6	63.2	67.7
2	87.1	85.1	89.2	66	63.5	68.1
3	87.1	85.1	89.2	66.2	63.6	68.3
4	87.1	85.1	89.2	66.3	63.8	68.4
5	87.1	85.2	89.2	66.4	63.9	68.5
6	87.1	85.2	89.2	66.5	64	68.6
7	87.1	85.2	89.2	66.5	64	68.7
8	87.1	85.2	89.2	66.6	64.1	68.7
9	87.1	85.2	89.2	66.6	64.1	68.8
10	87.1	85.2	89.2	66.7	64.2	68.8
11	87.1	85.2	89.3	66.7	64.2	68.8
12	87.1	85.2	89.3	66.8	64.2	68.9
13	87.1	85.2	89.3	66.8	64.3	68.9
14	87.1	85.2	89.3	66.8	64.3	69
15	87.2	85.2	89.3	66.9	64.4	69
16	87.2	85.2	89.3	67	64.4	69.1
17	87.2	85.2	89.3	67	64.5	69.1
18	87.2	85.2	89.3	67.1	64.6	69.2
19	87.2	85.2	89.3	67.2	64.7	69.3
20	87.2	85.2	89.3	67.3	64.8	69.3
21	87.2	85.3	89.3	67.4	64.9	69.4
22	87.2	85.3	89.3	67.5	65	69.5
23	87.2	85.3	89.3	67.6	65.1	69.6
24	87.2	85.3	89.3	67.7	65.3	69.7
25	87.2	85.3	89.3	67.8	65.4	69.8
26	87.2	85.3	89.3	68	65.5	70
27	87.3	85.3	89.4	68.1	65.7	70.1
28	87.3	85.3	89.4	68.2	65.8	70.2
29	87.3	85.3	89.4	68.4	66	70.4
30	87.3	85.4	89.4	68.5	66.2	70.5
31	87.3	85.4	89.4	68.7	66.3	70.6
32	87.3	85.4	89.4	68.9	66.5	70.8
33	87.3	85.4	89.4	69	66.7	71
34	87.3	85.4	89.4	69.2	66.9	71.1
35	87.3	85.4	89.4	69.4	67.1	71.3
36	87.3	85.4	89.4	69.6	67.3	71.5
37	87.4	85.4	89.4	69.8	67.5	71.7
38	87.4	85.4	89.5	70	67.8	71.9
39	87.4	85.5	89.5	70.2	68	72
40	87.4	85.5	89.5	70.5	68.2	72.2
41	87.4	85.5	89.5	70.7	68.5	72.5
42	87.4	85.5	89.5	70.9	68.7	72.7
43	87.4	85.5	89.5	71.2	69	72.9
44	87.5	85.5	89.5	71.4	69.3	73.1
45	87.5	85.6	89.6	71.7	69.6	73.3
46	87.5	85.6	89.6	71.9	69.9	73.6
47	87.5	85.6	89.6	72.2	70.2	73.8
48	87.6	85.6	89.6	72.5	70.5	74
49	87.6	85.7	89.7	72.7	70.8	74.3
50	87.6	85.7	89.7	73	71.1	74.6
51	87.6	85.7	89.7	73.3	71.4	74.8
52	87.7	85.8	89.7	73.6	71.8	75.1
53	87.7	85.8	89.8	73.9	72.1	75.4
54	87.8	85.9	89.8	74.2	72.5	75.7
55	87.8	85.9	89.8	74.6	72.8	76
56	87.9	86	89.9	74.9	73.2	76.3
57	87.9	86.1	89.9	75.2	73.6	76.6
58	88	86.1	90	75.6	74	76.9
59	88	86.2	90	75.9	74.4	77.2
60	88.1	86.3	90	76.3	74.8	77.5
61	88.2	86.4	90.1	76.7	75.2	77.9
62	88.2	86.5	90.1	77.1	75.6	78.2
63	88.3	86.6	90.2	77.5	76.1	78.6
64	88.4	86.7	90.3	77.9	76.5	79
65	88.5	86.8	90.3	78.3	77	79.4
66	88.6	86.9	90.4	78.8	77.5	79.8
67	88.7	87.1	90.5	79.2	77.9	80.2
68	88.8	87.2	90.6	79.7	78.4	80.7
69	89	87.4	90.7	80.2	79	81.1
70	89.1	87.6	90.8	80.7	79.5	81.6
71	89.3	87.8	90.9	81.2	80	82.1
72	89.5	88	91.1	81.7	80.6	82.5
73	89.7	88.2	91.2	82.2	81.2	83
74	89.9	88.5	91.4	82.8	81.7	83.5
75	90.1	88.7	91.5	83.4	82.3	84.1
76	90.3	89	91.7	83.9	83	84.6
77	90.6	89.3	91.9	84.5	83.6	85.2
78	90.9	89.6	92.2	85.1	84.2	85.7
79	91.2	89.9	92.4	85.8	84.9	86.3
80	91.5	90.3	92.7	86.4	85.6	86.9
81	91.9	90.7	93	87	86.3	87.5
82	92.2	91.1	93.3	87.7	87	88.1
83	92.6	91.5	93.7	88.4	87.7	88.7
84	93.1	92	94.1	89	88.4	89.4
85	93.5	92.5	94.5	89.8	89.2	90.1
86	94	93	94.9	90.5	90	90.8
87	94.5	93.5	95.4	91.2	90.8	91.5
88	95	94.1	95.8	92	91.6	92.2
89	95.6	94.7	96.3	92.8	92.4	93
90	96.1	95.3	96.8	93.6	93.2	93.8
91	96.7	95.9	97.4	94.4	94	94.5
92	97.3	96.6	97.9	95.2	94.9	95.3
93	98	97.2	98.5	96	95.7	96.1
94	98.7	97.9	99.2	96.9	96.6	97
95	99.3	98.7	99.8	97.7	97.5	97.8
96	100.1	99.4	100.5	98.6	98.4	98.7
97	100.8	100.2	101.2	99.5	99.2	99.5
98	101.5	101	101.9	100.4	100.1	100.4
99	102.3	101.8	102.6	101.2	101	101.3
100	103.1	102.6	103.3	102.2	101.9	102.2

Odds of living to age in Monaco vs Zimbabwe

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 97.1% in Monaco and 66.2% in Zimbabwe are expected to survive till at least 60 years old, 92.7% and 47.3% will live to 70 years or older, 78.7% and 23.5% to 80+ years, and 44.5% and 4.99% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

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

Odds of dying by age chart

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.

Below is a graph displaying the probabilities of dying in Monaco compared to Zimbabwe at any given age.

Table

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

Death rate by age in Monaco compared to Zimbabwe

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 — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Monaco			Zimbabwe
	Total	Male	Female	Total	Male	Female
0	368	386	350	3,053	3,402	2,699
1	19.6	14.3	25.2	484	463	505
2	15.9	12.9	19.1	308	305	311
3	13	11.5	14.6	211.7	213.4	209.9
4	10.8	10.3	11.3	153.9	157.9	149.8
5	9.08	9.24	8.91	116.6	119.9	113.1
6	7.75	8.24	7.23	98.5	103	94
7	6.73	7.36	6.09	87.5	92.4	82.5
8	5.99	6.63	5.33	78.6	83.3	73.8
9	5.5	6.09	4.88	72.9	76.9	68.8
10	5.23	5.78	4.66	70.4	74.5	66.2
11	5.2	5.75	4.65	70.9	76.1	65.5
12	5.42	6.01	4.83	73.9	79.4	68.4
13	5.91	6.64	5.17	80.4	85.9	74.8
14	6.68	7.66	5.68	90.9	97.8	83.9
15	7.74	9.1	6.34	106.1	114.9	97.1
16	9.02	10.9	7.11	122.8	135.4	110
17	10.4	12.8	7.94	143.2	161.3	124.9
18	11.8	14.7	8.77	164.9	188.9	140.6
19	13	16.3	9.55	182.4	209.2	155.3
20	13.9	17.4	10.2	200.4	229.9	170.6
21	14.5	17.9	10.9	216.1	249.9	182.2
22	14.8	18.1	11.4	234.1	270.1	198.3
23	15	17.9	11.9	251.5	289	214.4
24	15.1	17.6	12.5	268.5	307	231.1
25	15.1	17.3	12.9	286.4	326	248.2
26	15.3	17	13.4	304	344	267.1
27	15.4	16.8	13.9	324	365	286.2
28	15.7	16.8	14.5	343	387	303
29	16.1	17	15	363	409	323
30	16.6	17.4	15.7	385	436	341
31	17.2	18	16.3	403	458	356
32	18	18.7	17.1	428	487	379
33	18.9	19.7	18.1	453	517	400
34	20	20.8	19.1	481	550	423
35	21.2	22.1	20.3	512	586	450
36	22.6	23.5	21.6	539	619	473
37	24.2	25.3	23	568	655	496
38	26	27.3	24.6	599	691	522
39	28	29.7	26.3	627	725	545
40	30.4	32.6	28.2	659	766	571
41	33.3	36.1	30.5	685	795	592
42	36.7	40.4	33.1	717	834	617
43	40.8	45.7	36.2	747	871	642
44	45.5	51.9	39.8	779	911	669
45	50.9	59.2	43.9	816	958	702
46	57.1	67.3	48.3	850	1,000	731
47	63.7	76.2	53	888	1,046	766
48	70.8	85.7	57.9	929	1,096	806
49	77.9	95.8	62.9	969	1,146	846
50	86.1	106.8	68.2	1,018	1,207	892
51	95.9	119.3	74	1,050	1,245	925
52	105.8	133.9	80.5	1,100	1,298	971
53	117.9	151.3	87.8	1,140	1,342	1,009
54	132.4	171.9	96.2	1,184	1,389	1,052
55	148.4	195.7	105.6	1,233	1,440	1,097
56	166.8	222	115.7	1,284	1,485	1,146
57	185.8	249.9	126.3	1,341	1,537	1,197
58	206.5	278.4	137.5	1,411	1,599	1,257
59	228.4	307	149.4	1,481	1,664	1,318
60	249.4	337	162.6	1,571	1,756	1,398
61	272.3	370	178.2	1,632	1,809	1,463
62	302	407	197.5	1,718	1,890	1,553
63	338	452	221.7	1,790	1,952	1,636
64	381	506	251.9	1,866	2,014	1,726
65	431	571	289.1	1,945	2,075	1,824
66	491	646	334	1,993	2,121	1,875
67	561	731	385	2,050	2,172	1,938
68	639	826	444	2,111	2,224	2,007
69	725	928	509	2,166	2,269	2,069
70	815	1,038	580	2,250	2,336	2,164
71	914	1,154	658	2,281	2,352	2,203
72	1,024	1,279	744	2,356	2,400	2,294
73	1,140	1,412	840	2,393	2,412	2,346
74	1,271	1,556	948	2,427	2,414	2,401
75	1,418	1,713	1,072	2,448	2,404	2,446
76	1,575	1,886	1,215	2,444	2,370	2,468
77	1,753	2,079	1,381	2,424	2,321	2,470
78	1,954	2,291	1,573	2,416	2,272	2,497
79	2,173	2,523	1,789	2,358	2,186	2,465
80	2,413	2,769	2,028	2,328	2,113	2,474
81	2,665	3,024	2,281	2,235	1,982	2,419
82	2,921	3,276	2,537	2,197	1,873	2,450
83	3,174	3,516	2,787	2,102	1,730	2,403
84	3,402	3,735	3,024	1,999	1,583	2,345
85	3,611	3,925	3,245	1,858	1,418	2,232
86	3,797	4,083	3,454	1,709	1,253	2,102
87	3,958	4,205	3,654	1,540	1,088	1,934
88	4,096	4,284	3,846	1,372	930	1,762
89	4,188	4,314	4,027	1,196	779	1,570
90	4,245	4,288	4,187	1,040	647	1,401
91	4,255	4,200	4,311	863	518	1,184
92	4,209	4,045	4,384	724	414	1,016
93	4,101	3,824	4,393	588	322	843
94	3,925	3,540	4,333	469	244.7	687
95	3,692	3,205	4,204	366	181.8	548
96	3,410	2,834	4,012	277.6	131.3	423
97	3,088	2,442	3,761	205	92.4	318
98	2,737	2,047	3,458	147.6	63.5	232.4
99	2,366	1,666	3,112	105.4	43.2	168.4
100	2,061	1,279	2,888	24.9	0	53

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about Monaco and Zimbabwe demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• Monaco vs Zimbabwe: Statistical Comparison

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size