Life Expectancy in Monaco vs Tanzania (1950-2026)

Life expectancy by current age

Chart Table

Monaco

Male

Female

Tanzania

Male

Female

1x

Current age, years	Total life expectancy, years
	Monaco			Tanzania
	Average	Male	Female	Average	Male	Female
100	103.1	102.6	103.3	102.5	101.9	102.6
99	102.3	101.8	102.6	101.7	101	101.7
98	101.5	101	101.9	100.8	100.1	100.9
97	100.8	100.2	101.2	100	99.2	100.1
96	100.1	99.4	100.5	99.1	98.4	99.3
95	99.3	98.7	99.8	98.3	97.5	98.4
94	98.7	97.9	99.2	97.4	96.6	97.7
93	98	97.2	98.5	96.6	95.8	96.9
92	97.3	96.6	97.9	95.8	94.9	96.1
91	96.7	95.9	97.4	95.1	94.1	95.4
90	96.1	95.3	96.8	94.3	93.3	94.6
89	95.6	94.7	96.3	93.5	92.5	93.9
88	95	94.1	95.8	92.7	91.7	93.2
87	94.5	93.5	95.4	92	90.9	92.5
86	94	93	94.9	91.3	90.1	91.9
85	93.5	92.5	94.5	90.6	89.4	91.2
84	93.1	92	94.1	89.9	88.7	90.6
83	92.6	91.5	93.7	89.2	88	90
82	92.2	91.1	93.3	88.6	87.3	89.4
81	91.9	90.7	93	87.9	86.6	88.9
80	91.5	90.3	92.7	87.3	86	88.3
79	91.2	89.9	92.4	86.8	85.3	87.8
78	90.9	89.6	92.2	86.2	84.7	87.3
77	90.6	89.3	91.9	85.6	84.1	86.8
76	90.3	89	91.7	85.1	83.5	86.3
75	90.1	88.7	91.5	84.5	83	85.8
74	89.9	88.5	91.4	84	82.4	85.3
73	89.7	88.2	91.2	83.5	81.9	84.8
72	89.5	88	91.1	83	81.4	84.3
71	89.3	87.8	90.9	82.5	80.9	83.9
70	89.1	87.6	90.8	82.1	80.4	83.4
69	89	87.4	90.7	81.6	79.9	83
68	88.8	87.2	90.6	81.2	79.4	82.6
67	88.7	87.1	90.5	80.7	79	82.2
66	88.6	86.9	90.4	80.3	78.5	81.8
65	88.5	86.8	90.3	79.9	78.1	81.4
64	88.4	86.7	90.3	79.5	77.6	81
63	88.3	86.6	90.2	79.1	77.2	80.7
62	88.2	86.5	90.1	78.7	76.8	80.3
61	88.2	86.4	90.1	78.4	76.4	80
60	88.1	86.3	90	78	76.1	79.7
59	88	86.2	90	77.7	75.7	79.4
58	88	86.1	90	77.4	75.4	79.1
57	87.9	86.1	89.9	77.1	75	78.9
56	87.9	86	89.9	76.8	74.7	78.6
55	87.8	85.9	89.8	76.5	74.4	78.3
54	87.8	85.9	89.8	76.2	74.1	78.1
53	87.7	85.8	89.8	75.9	73.8	77.9
52	87.7	85.8	89.7	75.7	73.5	77.6
51	87.6	85.7	89.7	75.4	73.3	77.4
50	87.6	85.7	89.7	75.2	73	77.2
49	87.6	85.7	89.7	75	72.7	77
48	87.6	85.6	89.6	74.7	72.5	76.8
47	87.5	85.6	89.6	74.5	72.3	76.6
46	87.5	85.6	89.6	74.3	72	76.5
45	87.5	85.6	89.6	74.1	71.8	76.3
44	87.5	85.5	89.5	73.9	71.6	76.1
43	87.4	85.5	89.5	73.8	71.4	76
42	87.4	85.5	89.5	73.6	71.2	75.8
41	87.4	85.5	89.5	73.4	71	75.6
40	87.4	85.5	89.5	73.2	70.8	75.5
39	87.4	85.5	89.5	73.1	70.7	75.4
38	87.4	85.4	89.5	72.9	70.5	75.2
37	87.4	85.4	89.4	72.8	70.3	75.1
36	87.3	85.4	89.4	72.6	70.2	75
35	87.3	85.4	89.4	72.5	70	74.8
34	87.3	85.4	89.4	72.4	69.9	74.7
33	87.3	85.4	89.4	72.2	69.7	74.6
32	87.3	85.4	89.4	72.1	69.6	74.5
31	87.3	85.4	89.4	72	69.5	74.4
30	87.3	85.4	89.4	71.9	69.3	74.3
29	87.3	85.3	89.4	71.8	69.2	74.2
28	87.3	85.3	89.4	71.7	69.1	74.1
27	87.3	85.3	89.4	71.6	69	74
26	87.2	85.3	89.3	71.4	68.9	73.9
25	87.2	85.3	89.3	71.4	68.7	73.9
24	87.2	85.3	89.3	71.3	68.6	73.8
23	87.2	85.3	89.3	71.2	68.5	73.7
22	87.2	85.3	89.3	71.1	68.4	73.6
21	87.2	85.3	89.3	71	68.3	73.6
20	87.2	85.2	89.3	70.9	68.2	73.5
19	87.2	85.2	89.3	70.8	68.1	73.4
18	87.2	85.2	89.3	70.8	68.1	73.4
17	87.2	85.2	89.3	70.7	68	73.3
16	87.2	85.2	89.3	70.6	67.9	73.3
15	87.2	85.2	89.3	70.6	67.9	73.2
14	87.1	85.2	89.3	70.5	67.8	73.2
13	87.1	85.2	89.3	70.5	67.8	73.2
12	87.1	85.2	89.3	70.5	67.7	73.1
11	87.1	85.2	89.3	70.4	67.7	73.1
10	87.1	85.2	89.2	70.4	67.7	73.1
9	87.1	85.2	89.2	70.4	67.6	73
8	87.1	85.2	89.2	70.3	67.6	73
7	87.1	85.2	89.2	70.3	67.5	72.9
6	87.1	85.2	89.2	70.2	67.5	72.9
5	87.1	85.2	89.2	70.2	67.4	72.8
4	87.1	85.1	89.2	70.1	67.3	72.7
3	87.1	85.1	89.2	69.9	67.2	72.6
2	87.1	85.1	89.2	69.8	67	72.4
1	87.1	85.1	89.2	69.5	66.8	72.2
0	86.7	84.8	88.8	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 Monaco can expect to live to 87.3 years compared to 71.9 in Tanzania, rising to 88.5 and 79.9 at 65, and to 91.5 and 87.3 at 80 — higher than the 86.7 and 67.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Monaco

Male

Female

Tanzania

Male

Female

1x

Age	Survival probability
	Monaco			Tanzania
	Average	Male	Female	Average	Male	Female
100	8.43%	4.58%	12.9%	0.67%	0.12%	1.28%
99	10.8%	6.25%	16%	0.94%	0.2%	1.76%
98	13.5%	8.3%	19.4%	1.29%	0.3%	2.36%
97	16.6%	10.7%	23.2%	1.73%	0.46%	3.12%
96	20%	13.6%	27.2%	2.29%	0.68%	4.05%
95	23.7%	16.8%	31.4%	2.99%	0.98%	5.16%
94	27.7%	20.3%	35.7%	3.82%	1.38%	6.46%
93	31.8%	24.1%	40.1%	4.81%	1.89%	7.95%
92	36%	28.2%	44.5%	5.97%	2.55%	9.63%
91	40.2%	32.4%	48.8%	7.28%	3.35%	11.5%
90	44.5%	36.7%	53%	8.82%	4.35%	13.5%
89	48.7%	41%	57.1%	10.5%	5.52%	15.7%
88	52.7%	45.3%	60.9%	12.4%	6.9%	18.1%
87	56.7%	49.5%	64.6%	14.4%	8.47%	20.5%
86	60.5%	53.6%	68%	16.6%	10.2%	23.1%
85	64.1%	57.5%	71.2%	19%	12.2%	25.7%
84	67.5%	61.2%	74.3%	21.4%	14.3%	28.4%
83	70.7%	64.7%	77.1%	23.9%	16.6%	31%
82	73.6%	68%	79.6%	26.5%	19%	33.6%
81	76.3%	71%	81.9%	29%	21.4%	36.1%
80	78.7%	73.8%	83.9%	31.5%	24%	38.5%
79	80.9%	76.3%	85.7%	34.1%	26.6%	41%
78	82.8%	78.6%	87.3%	36.6%	29.2%	43.4%
77	84.6%	80.7%	88.6%	39.2%	31.8%	45.8%
76	86.1%	82.6%	89.9%	41.7%	34.5%	48.2%
75	87.6%	84.3%	90.9%	44.2%	37.1%	50.6%
74	88.8%	85.9%	91.9%	46.6%	39.7%	52.9%
73	90%	87.3%	92.7%	49%	42.2%	55.1%
72	91%	88.5%	93.5%	51.3%	44.7%	57.3%
71	91.9%	89.7%	94.1%	53.5%	47.1%	59.4%
70	92.7%	90.7%	94.7%	55.7%	49.5%	61.4%
69	93.4%	91.7%	95.2%	57.7%	51.8%	63.3%
68	94.1%	92.5%	95.7%	59.7%	54%	65.2%
67	94.6%	93.2%	96%	61.7%	56.2%	67%
66	95.1%	93.9%	96.4%	63.6%	58.3%	68.8%
65	95.6%	94.4%	96.7%	65.4%	60.3%	70.5%
64	96%	94.9%	96.9%	67.2%	62.3%	72%
63	96.3%	95.4%	97.1%	68.8%	64.2%	73.5%
62	96.6%	95.8%	97.3%	70.4%	66%	74.9%
61	96.9%	96.2%	97.5%	71.9%	67.6%	76.2%
60	97.1%	96.5%	97.7%	73.3%	69.3%	77.5%
59	97.3%	96.8%	97.8%	74.7%	70.8%	78.6%
58	97.5%	97.1%	98%	75.9%	72.2%	79.7%
57	97.7%	97.3%	98.1%	77.1%	73.6%	80.7%
56	97.9%	97.6%	98.2%	78.2%	74.9%	81.6%
55	98%	97.8%	98.3%	79.3%	76.1%	82.5%
54	98.2%	97.9%	98.4%	80.3%	77.3%	83.3%
53	98.3%	98.1%	98.5%	81.3%	78.4%	84.2%
52	98.4%	98.2%	98.6%	82.2%	79.4%	84.9%
51	98.5%	98.3%	98.7%	83%	80.4%	85.6%
50	98.6%	98.4%	98.7%	83.9%	81.4%	86.3%
49	98.7%	98.5%	98.8%	84.6%	82.3%	86.9%
48	98.7%	98.6%	98.8%	85.3%	83.1%	87.5%
47	98.8%	98.7%	98.9%	86%	83.9%	88.1%
46	98.9%	98.8%	98.9%	86.6%	84.7%	88.6%
45	98.9%	98.8%	99%	87.2%	85.4%	89.1%
44	99%	98.9%	99%	87.8%	86%	89.6%
43	99%	98.9%	99.1%	88.3%	86.7%	90%
42	99%	99%	99.1%	88.8%	87.2%	90.5%
41	99.1%	99%	99.1%	89.3%	87.8%	90.8%
40	99.1%	99%	99.2%	89.8%	88.3%	91.2%
39	99.1%	99.1%	99.2%	90.2%	88.8%	91.6%
38	99.1%	99.1%	99.2%	90.6%	89.3%	91.9%
37	99.2%	99.1%	99.2%	91%	89.8%	92.2%
36	99.2%	99.1%	99.2%	91.3%	90.2%	92.5%
35	99.2%	99.2%	99.3%	91.7%	90.6%	92.8%
34	99.2%	99.2%	99.3%	92%	90.9%	93.1%
33	99.3%	99.2%	99.3%	92.3%	91.3%	93.3%
32	99.3%	99.2%	99.3%	92.6%	91.6%	93.6%
31	99.3%	99.2%	99.3%	92.9%	92%	93.8%
30	99.3%	99.3%	99.4%	93.1%	92.3%	94%
29	99.3%	99.3%	99.4%	93.4%	92.5%	94.2%
28	99.3%	99.3%	99.4%	93.6%	92.8%	94.4%
27	99.4%	99.3%	99.4%	93.8%	93.1%	94.6%
26	99.4%	99.3%	99.4%	94%	93.3%	94.8%
25	99.4%	99.3%	99.4%	94.2%	93.6%	94.9%
24	99.4%	99.4%	99.4%	94.4%	93.8%	95.1%
23	99.4%	99.4%	99.4%	94.6%	94%	95.2%
22	99.4%	99.4%	99.5%	94.8%	94.2%	95.4%
21	99.4%	99.4%	99.5%	95%	94.4%	95.5%
20	99.5%	99.4%	99.5%	95.1%	94.6%	95.6%
19	99.5%	99.4%	99.5%	95.3%	94.8%	95.7%
18	99.5%	99.5%	99.5%	95.4%	95%	95.8%
17	99.5%	99.5%	99.5%	95.5%	95.1%	95.9%
16	99.5%	99.5%	99.5%	95.6%	95.2%	96%
15	99.5%	99.5%	99.5%	95.7%	95.3%	96.1%
14	99.5%	99.5%	99.5%	95.8%	95.4%	96.1%
13	99.5%	99.5%	99.5%	95.8%	95.5%	96.2%
12	99.5%	99.5%	99.5%	95.9%	95.5%	96.2%
11	99.5%	99.5%	99.5%	95.9%	95.6%	96.3%
10	99.5%	99.5%	99.5%	96%	95.7%	96.4%
9	99.5%	99.5%	99.6%	96.1%	95.7%	96.4%
8	99.5%	99.5%	99.6%	96.1%	95.8%	96.5%
7	99.6%	99.5%	99.6%	96.2%	95.9%	96.5%
6	99.6%	99.6%	99.6%	96.3%	96%	96.6%
5	99.6%	99.6%	99.6%	96.4%	96.1%	96.7%
4	99.6%	99.6%	99.6%	96.5%	96.2%	96.8%
3	99.6%	99.6%	99.6%	96.7%	96.4%	97%
2	99.6%	99.6%	99.6%	96.9%	96.6%	97.2%
1	99.6%	99.6%	99.6%	97.3%	97%	97.6%

This chart shows the odds of living to each age from birth. 97.1% of newborns in Monaco and 73.3% in Tanzania are expected to live past 60, 92.7% and 55.7% past 70, 78.7% and 31.5% past 80, and only 44.5% 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

Monaco

Male

Female

Tanzania

Male

Female

1x

Age	Probability of dying
	Monaco			Tanzania
	Average	Male	Female	Average	Male	Female
100	23.4%	28.5%	20.9%	29.4%	38.6%	28.4%
99	21.9%	26.7%	19.5%	28.3%	37.1%	27.2%
98	20.2%	24.7%	17.8%	26.8%	35.3%	25.5%
97	18.6%	22.7%	16.2%	25.7%	33.9%	24.3%
96	17%	20.9%	14.7%	24.5%	32.3%	23%
95	15.6%	19.1%	13.4%	23.3%	30.7%	21.6%
94	14.2%	17.4%	12.1%	21.8%	28.9%	20.1%
93	12.9%	15.8%	10.9%	20.6%	27.3%	18.7%
92	11.7%	14.4%	9.85%	19.4%	25.7%	17.5%
91	10.6%	13%	8.83%	18.1%	24%	16%
90	9.55%	11.7%	7.9%	17.4%	22.9%	15.3%
89	8.61%	10.5%	7.06%	16.1%	21.3%	13.9%
88	7.77%	9.46%	6.32%	15.2%	20%	13%
87	6.98%	8.5%	5.66%	14.2%	18.6%	12%
86	6.28%	7.62%	5.08%	13.3%	17.3%	11.1%
85	5.63%	6.83%	4.55%	12.3%	16%	10.2%
84	5.04%	6.1%	4.07%	11.4%	14.9%	9.37%
83	4.49%	5.43%	3.62%	10.4%	13.7%	8.46%
82	3.97%	4.82%	3.19%	9.6%	12.6%	7.7%
81	3.49%	4.26%	2.79%	8.6%	11.4%	6.8%
80	3.07%	3.75%	2.42%	8.09%	10.6%	6.4%
79	2.69%	3.31%	2.09%	7.47%	9.73%	5.95%
78	2.36%	2.91%	1.8%	7.01%	9.02%	5.65%
77	2.07%	2.58%	1.56%	6.47%	8.26%	5.24%
76	1.83%	2.28%	1.35%	6.05%	7.65%	4.95%
75	1.62%	2.03%	1.18%	5.63%	7.08%	4.66%
74	1.43%	1.81%	1.03%	5.22%	6.52%	4.35%
73	1.27%	1.62%	0.91%	4.83%	6.02%	4.06%
72	1.12%	1.44%	0.8%	4.5%	5.58%	3.8%
71	0.99%	1.29%	0.7%	4.12%	5.1%	3.49%
70	0.88%	1.14%	0.61%	3.91%	4.8%	3.33%
69	0.78%	1.01%	0.53%	3.59%	4.41%	3.06%
68	0.68%	0.89%	0.46%	3.37%	4.12%	2.88%
67	0.59%	0.78%	0.4%	3.16%	3.84%	2.7%
66	0.52%	0.69%	0.35%	2.97%	3.6%	2.54%
65	0.45%	0.6%	0.3%	2.83%	3.4%	2.41%
64	0.4%	0.53%	0.26%	2.61%	3.15%	2.2%
63	0.35%	0.47%	0.23%	2.42%	2.92%	2.02%
62	0.31%	0.43%	0.2%	2.25%	2.71%	1.86%
61	0.28%	0.38%	0.18%	2.06%	2.49%	1.7%
60	0.26%	0.35%	0.17%	1.94%	2.34%	1.58%
59	0.23%	0.32%	0.15%	1.78%	2.14%	1.44%
58	0.21%	0.29%	0.14%	1.66%	1.99%	1.34%
57	0.19%	0.26%	0.13%	1.54%	1.85%	1.24%
56	0.17%	0.23%	0.12%	1.44%	1.73%	1.16%
55	0.15%	0.2%	0.11%	1.35%	1.62%	1.09%
54	0.13%	0.18%	0.1%	1.26%	1.52%	1.02%
53	0.12%	0.15%	0.09%	1.18%	1.42%	0.95%
52	0.11%	0.14%	0.08%	1.11%	1.34%	0.9%
51	0.1%	0.12%	0.07%	1.03%	1.24%	0.83%
50	0.09%	0.11%	0.07%	0.97%	1.17%	0.79%
49	0.08%	0.1%	0.06%	0.9%	1.08%	0.73%
48	0.07%	0.09%	0.06%	0.84%	1.01%	0.68%
47	0.06%	0.08%	0.05%	0.78%	0.94%	0.63%
46	0.06%	0.07%	0.05%	0.73%	0.88%	0.59%
45	0.05%	0.06%	0.04%	0.69%	0.83%	0.56%
44	0.05%	0.05%	0.04%	0.64%	0.77%	0.52%
43	0.04%	0.05%	0.04%	0.6%	0.72%	0.49%
42	0.04%	0.04%	0.03%	0.57%	0.68%	0.47%
41	0.03%	0.04%	0.03%	0.53%	0.63%	0.44%
40	0.03%	0.03%	0.03%	0.51%	0.6%	0.42%
39	0.03%	0.03%	0.03%	0.47%	0.56%	0.39%
38	0.03%	0.03%	0.02%	0.45%	0.53%	0.37%
37	0.02%	0.03%	0.02%	0.42%	0.5%	0.34%
36	0.02%	0.02%	0.02%	0.39%	0.47%	0.33%
35	0.02%	0.02%	0.02%	0.37%	0.44%	0.31%
34	0.02%	0.02%	0.02%	0.35%	0.41%	0.29%
33	0.02%	0.02%	0.02%	0.33%	0.39%	0.27%
32	0.02%	0.02%	0.02%	0.31%	0.37%	0.25%
31	0.02%	0.02%	0.02%	0.29%	0.34%	0.24%
30	0.02%	0.02%	0.02%	0.28%	0.33%	0.23%
29	0.02%	0.02%	0.02%	0.26%	0.31%	0.21%
28	0.02%	0.02%	0.01%	0.25%	0.3%	0.2%
27	0.02%	0.02%	0.01%	0.24%	0.28%	0.19%
26	0.02%	0.02%	0.01%	0.22%	0.27%	0.18%
25	0.02%	0.02%	0.01%	0.21%	0.26%	0.17%
24	0.02%	0.02%	0.01%	0.2%	0.25%	0.16%
23	0.02%	0.02%	0.01%	0.19%	0.24%	0.15%
22	0.01%	0.02%	0.01%	0.18%	0.23%	0.14%
21	0.01%	0.02%	0.01%	0.17%	0.21%	0.13%
20	0.01%	0.02%	0.01%	0.16%	0.2%	0.13%
19	0.01%	0.02%	0.01%	0.15%	0.18%	0.12%
18	0.01%	0.01%	0.009%	0.14%	0.17%	0.11%
17	0.01%	0.01%	0.008%	0.12%	0.14%	0.1%
16	0.009%	0.01%	0.007%	0.1%	0.12%	0.09%
15	0.008%	0.009%	0.006%	0.09%	0.1%	0.08%
14	0.007%	0.008%	0.006%	0.08%	0.09%	0.07%
13	0.006%	0.007%	0.005%	0.07%	0.08%	0.06%
12	0.005%	0.006%	0.005%	0.06%	0.07%	0.06%
11	0.005%	0.006%	0.005%	0.06%	0.07%	0.05%
10	0.005%	0.006%	0.005%	0.06%	0.07%	0.05%
9	0.006%	0.006%	0.005%	0.06%	0.07%	0.06%
8	0.006%	0.007%	0.005%	0.07%	0.07%	0.06%
7	0.007%	0.007%	0.006%	0.08%	0.08%	0.07%
6	0.008%	0.008%	0.007%	0.08%	0.09%	0.08%
5	0.009%	0.009%	0.009%	0.1%	0.11%	0.09%
4	0.01%	0.01%	0.01%	0.13%	0.14%	0.12%
3	0.01%	0.01%	0.01%	0.18%	0.18%	0.17%
2	0.02%	0.01%	0.02%	0.25%	0.26%	0.25%
1	0.02%	0.01%	0.03%	0.41%	0.41%	0.4%
0	0.37%	0.39%	0.35%	2.69%	2.99%	2.38%

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

The annual chance of dying is 0.37% in the birth year in Monaco and 2.69% in Tanzania, 0.02% vs 0.28% at age 30, 0.26% vs 1.94% at 60, and 3.07% vs 8.09% at 80.

Death rate by age in Monaco vs Tanzania

Chart Table

Monaco

Male

Female

Tanzania

Male

Female

1x

Age	Death rate
	Monaco			Tanzania
	Total	Male	Female	Total	Male	Female
100	2,061	1,279	2,888	140.1	0.71	294.9
99	2,366	1,666	3,112	266.5	72.6	478
98	2,737	2,047	3,458	344	107.1	602
97	3,088	2,442	3,761	444	155.1	756
96	3,410	2,834	4,012	562	218.8	930
95	3,692	3,205	4,204	695	300	1,116
94	3,925	3,540	4,333	834	398	1,297
93	4,101	3,824	4,393	989	516	1,486
92	4,209	4,045	4,384	1,159	656	1,682
91	4,255	4,200	4,311	1,316	805	1,836
90	4,245	4,288	4,187	1,536	994	2,078
89	4,188	4,314	4,027	1,690	1,174	2,190
88	4,096	4,284	3,846	1,881	1,377	2,351
87	3,958	4,205	3,654	2,045	1,575	2,462
86	3,797	4,083	3,454	2,207	1,777	2,566
85	3,611	3,925	3,245	2,336	1,957	2,629
84	3,402	3,735	3,024	2,452	2,143	2,662
83	3,174	3,516	2,787	2,499	2,269	2,625
82	2,921	3,276	2,537	2,540	2,389	2,588
81	2,665	3,024	2,281	2,490	2,434	2,451
80	2,413	2,769	2,028	2,549	2,548	2,467
79	2,173	2,523	1,789	2,545	2,586	2,439
78	1,954	2,291	1,573	2,569	2,636	2,453
77	1,753	2,079	1,381	2,533	2,630	2,402
76	1,575	1,886	1,215	2,519	2,638	2,384
75	1,418	1,713	1,072	2,489	2,625	2,358
74	1,271	1,556	948	2,431	2,589	2,297
73	1,140	1,412	840	2,367	2,543	2,235
72	1,024	1,279	744	2,309	2,496	2,179
71	914	1,154	658	2,205	2,404	2,072
70	815	1,038	580	2,174	2,375	2,046
69	725	928	509	2,072	2,284	1,936
68	639	826	444	2,015	2,226	1,877
67	561	731	385	1,948	2,160	1,806
66	491	646	334	1,889	2,097	1,743
65	431	571	289.1	1,848	2,051	1,698
64	381	506	251.9	1,753	1,961	1,588
63	338	452	221.7	1,666	1,874	1,488
62	302	407	197.5	1,583	1,789	1,396
61	272.3	370	178.2	1,484	1,686	1,293
60	249.4	337	162.6	1,422	1,617	1,227
59	228.4	307	149.4	1,327	1,514	1,135
58	206.5	278.4	137.5	1,257	1,436	1,069
57	185.8	249.9	126.3	1,185	1,359	1,002
56	166.8	222	115.7	1,126	1,294	949
55	148.4	195.7	105.6	1,069	1,234	895
54	132.4	171.9	96.2	1,015	1,174	848
53	117.9	151.3	87.8	962	1,116	802
52	105.8	133.9	80.5	914	1,062	763
51	95.9	119.3	74	856	999	711
50	86.1	106.8	68.2	817	955	680
49	77.9	95.8	62.9	761	892	633
48	70.8	85.7	57.9	716	840	596
47	63.7	76.2	53	671	789	558
46	57.1	67.3	48.3	632	744	525
45	50.9	59.2	43.9	599	705	498
44	45.5	51.9	39.8	563	661	469
43	40.8	45.7	36.2	533	625	445
42	36.7	40.4	33.1	507	593	423
41	33.3	36.1	30.5	476	557	397
40	30.4	32.6	28.2	455	533	380
39	28	29.7	26.3	428	500	357
38	26	27.3	24.6	405	473	338
37	24.2	25.3	23	382	446	318
36	22.6	23.5	21.6	361	420	301
35	21.2	22.1	20.3	341	398	284.4
34	20	20.8	19.1	321	375	266.3
33	18.9	19.7	18.1	303	353	251.3
32	18	18.7	17.1	286.8	335	237.8
31	17.2	18	16.3	269.7	316	222.6
30	16.6	17.4	15.7	258.9	303	213.8
29	16.1	17	15	245	287.2	202.1
28	15.7	16.8	14.5	233.1	274.4	191
27	15.4	16.8	13.9	222.2	262.5	181.1
26	15.3	17	13.4	211.5	251.5	171
25	15.1	17.3	12.9	201.9	242.2	161.1
24	15.1	17.6	12.5	192.7	232.5	152.5
23	15	17.9	11.9	183.7	223.1	143.7
22	14.8	18.1	11.4	174.2	212.6	135.4
21	14.5	17.9	10.9	164	200.4	127
20	13.9	17.4	10.2	154.3	187.4	120.7
19	13	16.3	9.55	142.8	172.9	112.2
18	11.8	14.7	8.77	130.5	157.1	103.4
17	10.4	12.8	7.94	114.1	134.6	93.3
16	9.02	10.9	7.11	98.8	113.8	83.6
15	7.74	9.1	6.34	85	95.7	74
14	6.68	7.66	5.68	73.3	81.7	64.7
13	5.91	6.64	5.17	65.1	71.8	58.2
12	5.42	6.01	4.83	60	66.3	53.6
11	5.2	5.75	4.65	57.8	63.8	51.6
10	5.23	5.78	4.66	57.7	63	52.2
9	5.5	6.09	4.88	59.9	65.2	54.4
8	5.99	6.63	5.33	64.7	70.4	58.8
7	6.73	7.36	6.09	72.2	78.1	66.1
6	7.75	8.24	7.23	81.7	87.3	76
5	9.08	9.24	8.91	96.7	101.8	91.4
4	10.8	10.3	11.3	125.6	131.7	119.3
3	13	11.5	14.6	171.2	177.9	164.3
2	15.9	12.9	19.1	246.7	252.7	240.5
1	19.6	14.3	25.2	394	394	394
0	368	386	350	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 Monaco, the most common age of death is 91, compared to 0 in Tanzania. The median age of death is 88.7 in Monaco 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 Monaco and Tanzania more than their death rates.

Life expectancy in other countries

+ -

1x