Life Expectancy in Italy vs Zimbabwe (1950-2026)

Life expectancy by current age

Chart Table

Italy

Male

Female

Zimbabwe

Male

Female

1x

Current age, years	Total life expectancy, years
	Italy			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	102.1	101.9	102.1	102.2	101.9	102.2
99	101.2	101	101.3	101.2	101	101.3
98	100.4	100.2	100.5	100.4	100.1	100.4
97	99.6	99.3	99.7	99.5	99.2	99.5
96	98.8	98.5	98.9	98.6	98.4	98.7
95	98	97.7	98.2	97.7	97.5	97.8
94	97.3	97	97.4	96.9	96.6	97
93	96.6	96.2	96.8	96	95.7	96.1
92	95.9	95.5	96.1	95.2	94.9	95.3
91	95.2	94.8	95.5	94.4	94	94.5
90	94.6	94.1	94.9	93.6	93.2	93.8
89	94	93.4	94.3	92.8	92.4	93
88	93.4	92.8	93.7	92	91.6	92.2
87	92.9	92.2	93.3	91.2	90.8	91.5
86	92.4	91.7	92.8	90.5	90	90.8
85	91.9	91.2	92.4	89.8	89.2	90.1
84	91.4	90.7	92	89	88.4	89.4
83	91	90.2	91.6	88.4	87.7	88.7
82	90.6	89.8	91.2	87.7	87	88.1
81	90.3	89.4	90.9	87	86.3	87.5
80	89.9	89	90.7	86.4	85.6	86.9
79	89.6	88.6	90.4	85.8	84.9	86.3
78	89.3	88.3	90.1	85.1	84.2	85.7
77	89.1	88	89.9	84.5	83.6	85.2
76	88.8	87.7	89.7	83.9	83	84.6
75	88.5	87.4	89.5	83.4	82.3	84.1
74	88.3	87.1	89.3	82.8	81.7	83.5
73	88.1	86.8	89.2	82.2	81.2	83
72	87.9	86.6	89	81.7	80.6	82.5
71	87.7	86.3	88.8	81.2	80	82.1
70	87.5	86.1	88.7	80.7	79.5	81.6
69	87.3	85.9	88.5	80.2	79	81.1
68	87.1	85.7	88.4	79.7	78.4	80.7
67	87	85.5	88.3	79.2	77.9	80.2
66	86.8	85.3	88.2	78.8	77.5	79.8
65	86.7	85.1	88.1	78.3	77	79.4
64	86.5	84.9	87.9	77.9	76.5	79
63	86.4	84.8	87.8	77.5	76.1	78.6
62	86.3	84.6	87.8	77.1	75.6	78.2
61	86.1	84.5	87.7	76.7	75.2	77.9
60	86	84.3	87.6	76.3	74.8	77.5
59	85.9	84.2	87.5	75.9	74.4	77.2
58	85.8	84.1	87.4	75.6	74	76.9
57	85.7	84	87.3	75.2	73.6	76.6
56	85.6	83.9	87.3	74.9	73.2	76.3
55	85.6	83.8	87.2	74.6	72.8	76
54	85.5	83.7	87.1	74.2	72.5	75.7
53	85.4	83.6	87.1	73.9	72.1	75.4
52	85.3	83.5	87	73.6	71.8	75.1
51	85.3	83.4	87	73.3	71.4	74.8
50	85.2	83.4	86.9	73	71.1	74.6
49	85.2	83.3	86.9	72.7	70.8	74.3
48	85.1	83.2	86.9	72.5	70.5	74
47	85.1	83.2	86.8	72.2	70.2	73.8
46	85	83.1	86.8	71.9	69.9	73.6
45	85	83.1	86.7	71.7	69.6	73.3
44	84.9	83.1	86.7	71.4	69.3	73.1
43	84.9	83	86.7	71.2	69	72.9
42	84.9	83	86.7	70.9	68.7	72.7
41	84.9	82.9	86.6	70.7	68.5	72.5
40	84.8	82.9	86.6	70.5	68.2	72.2
39	84.8	82.9	86.6	70.2	68	72
38	84.8	82.8	86.6	70	67.8	71.9
37	84.8	82.8	86.6	69.8	67.5	71.7
36	84.7	82.8	86.6	69.6	67.3	71.5
35	84.7	82.8	86.5	69.4	67.1	71.3
34	84.7	82.7	86.5	69.2	66.9	71.1
33	84.7	82.7	86.5	69	66.7	71
32	84.7	82.7	86.5	68.9	66.5	70.8
31	84.6	82.7	86.5	68.7	66.3	70.6
30	84.6	82.7	86.5	68.5	66.2	70.5
29	84.6	82.6	86.5	68.4	66	70.4
28	84.6	82.6	86.5	68.2	65.8	70.2
27	84.6	82.6	86.5	68.1	65.7	70.1
26	84.6	82.6	86.4	68	65.5	70
25	84.6	82.6	86.4	67.8	65.4	69.8
24	84.5	82.5	86.4	67.7	65.3	69.7
23	84.5	82.5	86.4	67.6	65.1	69.6
22	84.5	82.5	86.4	67.5	65	69.5
21	84.5	82.5	86.4	67.4	64.9	69.4
20	84.5	82.5	86.4	67.3	64.8	69.3
19	84.5	82.4	86.4	67.2	64.7	69.3
18	84.5	82.4	86.4	67.1	64.6	69.2
17	84.4	82.4	86.4	67	64.5	69.1
16	84.4	82.4	86.4	67	64.4	69.1
15	84.4	82.4	86.4	66.9	64.4	69
14	84.4	82.4	86.4	66.8	64.3	69
13	84.4	82.4	86.4	66.8	64.3	68.9
12	84.4	82.4	86.3	66.8	64.2	68.9
11	84.4	82.4	86.3	66.7	64.2	68.8
10	84.4	82.4	86.3	66.7	64.2	68.8
9	84.4	82.4	86.3	66.6	64.1	68.8
8	84.4	82.3	86.3	66.6	64.1	68.7
7	84.4	82.3	86.3	66.5	64	68.7
6	84.4	82.3	86.3	66.5	64	68.6
5	84.4	82.3	86.3	66.4	63.9	68.5
4	84.4	82.3	86.3	66.3	63.8	68.4
3	84.4	82.3	86.3	66.2	63.6	68.3
2	84.4	82.3	86.3	66	63.5	68.1
1	84.4	82.3	86.3	65.6	63.2	67.7
0	84.2	82.1	86.1	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 Italy can expect to live to 84.6 years compared to 68.5 in Zimbabwe, rising to 86.7 and 78.3 at 65, and to 89.9 and 86.4 at 80 — higher than the 84.2 and 63.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Italy

Male

Female

Zimbabwe

Male

Female

1x

Age	Survival probability
	Italy			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	2.7%	1.41%	3.78%	0.2%	0.07%	0.33%
99	4.03%	2.2%	5.57%	0.31%	0.12%	0.5%
98	5.79%	3.32%	7.88%	0.46%	0.18%	0.73%
97	8.03%	4.83%	10.8%	0.66%	0.27%	1.05%
96	10.8%	6.77%	14.2%	0.94%	0.4%	1.47%
95	14%	9.18%	18.2%	1.3%	0.59%	2.02%
94	17.7%	12.1%	22.6%	1.77%	0.83%	2.71%
93	21.7%	15.4%	27.4%	2.36%	1.15%	3.55%
92	26.1%	19.2%	32.4%	3.08%	1.57%	4.57%
91	30.8%	23.3%	37.6%	3.95%	2.09%	5.75%
90	35.6%	27.7%	42.8%	4.99%	2.73%	7.15%
89	40.4%	32.2%	47.9%	6.18%	3.51%	8.72%
88	45.1%	36.9%	52.8%	7.56%	4.44%	10.5%
87	49.7%	41.4%	57.4%	9.1%	5.53%	12.4%
86	54%	45.9%	61.7%	10.8%	6.78%	14.5%
85	58%	50.1%	65.5%	12.7%	8.2%	16.8%
84	61.7%	54.1%	69%	14.7%	9.78%	19.1%
83	65.1%	57.8%	72.2%	16.8%	11.5%	21.5%
82	68.2%	61.2%	75%	19%	13.4%	24%
81	71%	64.4%	77.5%	21.2%	15.4%	26.4%
80	73.6%	67.3%	79.6%	23.5%	17.5%	28.8%
79	75.9%	70%	81.5%	25.9%	19.7%	31.3%
78	77.9%	72.4%	83.2%	28.3%	21.9%	33.8%
77	79.8%	74.6%	84.8%	30.7%	24.3%	36.3%
76	81.5%	76.7%	86.1%	33.2%	26.6%	38.7%
75	83%	78.6%	87.3%	35.6%	29%	41.2%
74	84.4%	80.4%	88.4%	38%	31.4%	43.6%
73	85.7%	82%	89.4%	40.4%	33.9%	45.9%
72	86.9%	83.5%	90.3%	42.8%	36.3%	48.2%
71	88%	84.9%	91.1%	45.1%	38.6%	50.4%
70	89%	86.1%	91.9%	47.3%	40.9%	52.6%
69	89.9%	87.2%	92.5%	49.5%	43.2%	54.7%
68	90.7%	88.3%	93.1%	51.6%	45.4%	56.7%
67	91.5%	89.3%	93.7%	53.6%	47.6%	58.6%
66	92.2%	90.2%	94.2%	55.6%	49.7%	60.5%
65	92.8%	91%	94.7%	57.6%	51.8%	62.3%
64	93.4%	91.7%	95.1%	59.5%	53.8%	64%
63	94%	92.4%	95.5%	61.2%	55.8%	65.7%
62	94.5%	93.1%	95.9%	63%	57.7%	67.2%
61	94.9%	93.7%	96.2%	64.6%	59.5%	68.7%
60	95.4%	94.2%	96.5%	66.2%	61.2%	70.1%
59	95.7%	94.7%	96.8%	67.6%	62.9%	71.4%
58	96.1%	95.1%	97.1%	69.1%	64.5%	72.7%
57	96.4%	95.5%	97.3%	70.4%	66%	73.9%
56	96.7%	95.9%	97.5%	71.7%	67.5%	75%
55	97%	96.2%	97.7%	72.9%	69%	76.1%
54	97.2%	96.5%	97.9%	74.1%	70.3%	77.2%
53	97.4%	96.8%	98.1%	75.2%	71.7%	78.2%
52	97.6%	97.1%	98.2%	76.3%	73%	79.1%
51	97.8%	97.3%	98.4%	77.4%	74.2%	80.1%
50	98%	97.5%	98.5%	78.4%	75.4%	81%
49	98.1%	97.7%	98.6%	79.4%	76.6%	81.8%
48	98.3%	97.8%	98.7%	80.3%	77.7%	82.6%
47	98.4%	98%	98.8%	81.2%	78.7%	83.4%
46	98.5%	98.1%	98.9%	82%	79.7%	84.1%
45	98.6%	98.2%	99%	82.9%	80.7%	84.8%
44	98.7%	98.3%	99%	83.6%	81.6%	85.5%
43	98.8%	98.4%	99.1%	84.4%	82.5%	86.1%
42	98.8%	98.5%	99.2%	85.1%	83.3%	86.7%
41	98.9%	98.6%	99.2%	85.8%	84.1%	87.3%
40	99%	98.7%	99.3%	86.4%	84.9%	87.9%
39	99%	98.8%	99.3%	87.1%	85.6%	88.4%
38	99.1%	98.8%	99.3%	87.7%	86.3%	89%
37	99.1%	98.9%	99.4%	88.2%	86.9%	89.5%
36	99.2%	98.9%	99.4%	88.8%	87.5%	89.9%
35	99.2%	99%	99.4%	89.3%	88.1%	90.4%
34	99.2%	99%	99.5%	89.8%	88.7%	90.8%
33	99.3%	99.1%	99.5%	90.2%	89.2%	91.2%
32	99.3%	99.1%	99.5%	90.7%	89.7%	91.6%
31	99.3%	99.2%	99.5%	91.1%	90.1%	91.9%
30	99.4%	99.2%	99.5%	91.4%	90.6%	92.3%
29	99.4%	99.2%	99.5%	91.8%	91%	92.6%
28	99.4%	99.3%	99.6%	92.1%	91.4%	92.9%
27	99.4%	99.3%	99.6%	92.5%	91.7%	93.2%
26	99.5%	99.4%	99.6%	92.8%	92.1%	93.5%
25	99.5%	99.4%	99.6%	93.1%	92.4%	93.7%
24	99.5%	99.4%	99.6%	93.3%	92.7%	93.9%
23	99.5%	99.5%	99.6%	93.6%	93%	94.2%
22	99.6%	99.5%	99.6%	93.8%	93.3%	94.4%
21	99.6%	99.5%	99.7%	94%	93.5%	94.5%
20	99.6%	99.6%	99.7%	94.2%	93.8%	94.7%
19	99.6%	99.6%	99.7%	94.4%	94%	94.9%
18	99.7%	99.6%	99.7%	94.6%	94.2%	95%
17	99.7%	99.6%	99.7%	94.7%	94.3%	95.1%
16	99.7%	99.7%	99.7%	94.8%	94.5%	95.2%
15	99.7%	99.7%	99.7%	94.9%	94.6%	95.3%
14	99.7%	99.7%	99.7%	95%	94.7%	95.4%
13	99.7%	99.7%	99.7%	95.1%	94.8%	95.5%
12	99.7%	99.7%	99.7%	95.2%	94.8%	95.6%
11	99.7%	99.7%	99.7%	95.3%	94.9%	95.6%
10	99.7%	99.7%	99.7%	95.3%	95%	95.7%
9	99.7%	99.7%	99.8%	95.4%	95.1%	95.8%
8	99.7%	99.7%	99.8%	95.5%	95.1%	95.8%
7	99.7%	99.7%	99.8%	95.6%	95.2%	95.9%
6	99.7%	99.7%	99.8%	95.7%	95.3%	96%
5	99.8%	99.7%	99.8%	95.8%	95.5%	96.1%
4	99.8%	99.7%	99.8%	95.9%	95.6%	96.3%
3	99.8%	99.8%	99.8%	96.2%	95.8%	96.5%
2	99.8%	99.8%	99.8%	96.5%	96.1%	96.8%
1	99.8%	99.8%	99.8%	96.9%	96.6%	97.3%

This chart shows the odds of living to each age from birth. 95.4% of newborns in Italy and 66.2% in Zimbabwe are expected to live past 60, 89% and 47.3% past 70, 73.6% and 23.5% past 80, and only 35.6% 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

Italy

Male

Female

Zimbabwe

Male

Female

1x

Age	Probability of dying
	Italy			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	35.3%	38.6%	34.5%	35.7%	38.2%	35%
99	32.9%	36.1%	32%	34.3%	36.9%	33.6%
98	30.4%	33.7%	29.4%	32.4%	35.2%	31.7%
97	27.9%	31.2%	26.8%	31.1%	33.9%	30.2%
96	25.4%	28.7%	24.3%	29.6%	32.5%	28.7%
95	23.1%	26.2%	21.9%	28.1%	31%	27.1%
94	20.8%	23.9%	19.5%	26.4%	29.5%	25.4%
93	18.7%	21.7%	17.4%	24.9%	27.9%	23.7%
92	16.8%	19.6%	15.5%	23.5%	26.4%	22.2%
91	15.1%	17.7%	13.8%	21.9%	24.9%	20.6%
90	13.5%	15.9%	12.2%	20.9%	23.7%	19.6%
89	12%	14.2%	10.7%	19.3%	22.2%	18%
88	10.5%	12.5%	9.26%	18.2%	20.9%	16.8%
87	9.15%	11%	7.97%	16.9%	19.7%	15.6%
86	7.99%	9.68%	6.87%	15.8%	18.5%	14.5%
85	6.95%	8.46%	5.91%	14.7%	17.3%	13.3%
84	6.02%	7.37%	5.07%	13.6%	16.2%	12.3%
83	5.23%	6.42%	4.36%	12.5%	15%	11.2%
82	4.54%	5.61%	3.74%	11.6%	14%	10.2%
81	3.95%	4.93%	3.2%	10.5%	12.9%	9.17%
80	3.44%	4.32%	2.73%	9.89%	12.1%	8.58%
79	3%	3.79%	2.35%	9.11%	11.1%	7.87%
78	2.63%	3.34%	2.04%	8.54%	10.4%	7.38%
77	2.33%	2.99%	1.78%	7.89%	9.57%	6.81%
76	2.08%	2.69%	1.57%	7.37%	8.9%	6.37%
75	1.87%	2.43%	1.39%	6.87%	8.28%	5.94%
74	1.69%	2.2%	1.25%	6.38%	7.68%	5.51%
73	1.52%	1.99%	1.12%	5.92%	7.12%	5.11%
72	1.37%	1.79%	1%	5.51%	6.62%	4.76%
71	1.23%	1.61%	0.9%	5.06%	6.09%	4.37%
70	1.11%	1.44%	0.8%	4.75%	5.7%	4.11%
69	1%	1.31%	0.72%	4.38%	5.25%	3.78%
68	0.91%	1.2%	0.65%	4.09%	4.9%	3.54%
67	0.84%	1.1%	0.59%	3.82%	4.56%	3.31%
66	0.76%	0.99%	0.55%	3.58%	4.26%	3.1%
65	0.69%	0.9%	0.5%	3.38%	4.01%	2.93%
64	0.64%	0.82%	0.46%	3.14%	3.74%	2.7%
63	0.58%	0.75%	0.41%	2.92%	3.5%	2.49%
62	0.53%	0.68%	0.38%	2.73%	3.28%	2.31%
61	0.48%	0.62%	0.35%	2.53%	3.04%	2.13%
60	0.44%	0.57%	0.32%	2.37%	2.87%	1.99%
59	0.4%	0.51%	0.29%	2.19%	2.65%	1.85%
58	0.36%	0.47%	0.27%	2.04%	2.48%	1.73%
57	0.33%	0.42%	0.24%	1.91%	2.33%	1.62%
56	0.3%	0.38%	0.22%	1.79%	2.2%	1.53%
55	0.27%	0.34%	0.21%	1.69%	2.09%	1.44%
54	0.25%	0.31%	0.19%	1.6%	1.97%	1.36%
53	0.23%	0.28%	0.17%	1.52%	1.87%	1.29%
52	0.2%	0.26%	0.16%	1.44%	1.78%	1.23%
51	0.19%	0.23%	0.14%	1.36%	1.68%	1.15%
50	0.17%	0.21%	0.13%	1.3%	1.6%	1.1%
49	0.15%	0.18%	0.12%	1.22%	1.5%	1.03%
48	0.14%	0.17%	0.11%	1.16%	1.41%	0.98%
47	0.12%	0.15%	0.1%	1.09%	1.33%	0.92%
46	0.11%	0.14%	0.09%	1.04%	1.25%	0.87%
45	0.1%	0.13%	0.08%	0.99%	1.19%	0.83%
44	0.09%	0.11%	0.07%	0.93%	1.12%	0.78%
43	0.08%	0.1%	0.06%	0.89%	1.06%	0.75%
42	0.07%	0.09%	0.06%	0.84%	1%	0.71%
41	0.07%	0.09%	0.05%	0.8%	0.95%	0.68%
40	0.06%	0.08%	0.05%	0.76%	0.9%	0.65%
39	0.06%	0.07%	0.04%	0.72%	0.85%	0.62%
38	0.05%	0.06%	0.04%	0.68%	0.8%	0.59%
37	0.05%	0.06%	0.03%	0.64%	0.75%	0.55%
36	0.04%	0.05%	0.03%	0.61%	0.71%	0.53%
35	0.04%	0.05%	0.03%	0.57%	0.66%	0.5%
34	0.04%	0.05%	0.02%	0.54%	0.62%	0.47%
33	0.03%	0.05%	0.02%	0.5%	0.58%	0.44%
32	0.03%	0.04%	0.02%	0.47%	0.54%	0.41%
31	0.03%	0.04%	0.02%	0.44%	0.51%	0.39%
30	0.03%	0.04%	0.02%	0.42%	0.48%	0.37%
29	0.03%	0.04%	0.02%	0.4%	0.45%	0.35%
28	0.03%	0.04%	0.02%	0.37%	0.42%	0.33%
27	0.03%	0.04%	0.02%	0.35%	0.4%	0.31%
26	0.03%	0.04%	0.02%	0.33%	0.37%	0.29%
25	0.03%	0.04%	0.02%	0.31%	0.35%	0.26%
24	0.02%	0.04%	0.01%	0.29%	0.33%	0.25%
23	0.02%	0.03%	0.01%	0.27%	0.31%	0.23%
22	0.02%	0.03%	0.01%	0.25%	0.29%	0.21%
21	0.02%	0.03%	0.01%	0.23%	0.27%	0.19%
20	0.02%	0.03%	0.01%	0.21%	0.25%	0.18%
19	0.02%	0.03%	0.01%	0.19%	0.22%	0.16%
18	0.02%	0.03%	0.01%	0.17%	0.2%	0.15%
17	0.02%	0.02%	0.01%	0.15%	0.17%	0.13%
16	0.01%	0.02%	0.009%	0.13%	0.14%	0.12%
15	0.01%	0.01%	0.008%	0.11%	0.12%	0.1%
14	0.009%	0.01%	0.007%	0.1%	0.1%	0.09%
13	0.007%	0.008%	0.006%	0.08%	0.09%	0.08%
12	0.006%	0.007%	0.005%	0.08%	0.08%	0.07%
11	0.006%	0.006%	0.005%	0.07%	0.08%	0.07%
10	0.006%	0.006%	0.005%	0.07%	0.08%	0.07%
9	0.005%	0.006%	0.004%	0.08%	0.08%	0.07%
8	0.005%	0.006%	0.004%	0.08%	0.09%	0.08%
7	0.005%	0.005%	0.004%	0.09%	0.1%	0.09%
6	0.005%	0.005%	0.005%	0.1%	0.11%	0.1%
5	0.005%	0.006%	0.005%	0.12%	0.13%	0.12%
4	0.006%	0.007%	0.006%	0.16%	0.17%	0.16%
3	0.007%	0.008%	0.006%	0.22%	0.22%	0.22%
2	0.007%	0.008%	0.007%	0.32%	0.32%	0.32%
1	0.02%	0.02%	0.02%	0.5%	0.48%	0.52%
0	0.21%	0.22%	0.19%	3.05%	3.4%	2.7%

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

The annual chance of dying is 0.21% in the birth year in Italy and 3.05% in Zimbabwe, 0.03% vs 0.42% at age 30, 0.44% vs 2.37% at 60, and 3.44% vs 9.89% at 80.

Death rate by age in Italy vs Zimbabwe

Chart Table

Italy

Male

Female

Zimbabwe

Male

Female

1x

Age	Death rate
	Italy			Zimbabwe
	Total	Male	Female	Total	Male	Female
100	823	339	1,226	24.9	0	53
99	1,326	795	1,783	105.4	43.2	168.4
98	1,758	1,118	2,319	147.6	63.5	232.4
97	2,238	1,507	2,892	205	92.4	318
96	2,738	1,944	3,460	277.6	131.3	423
95	3,225	2,407	3,981	366	181.8	548
94	3,673	2,883	4,420	469	244.7	687
93	4,066	3,342	4,765	588	322	843
92	4,388	3,752	5,017	724	414	1,016
91	4,640	4,111	5,179	863	518	1,184
90	4,795	4,395	5,221	1,040	647	1,401
89	4,834	4,577	5,128	1,196	779	1,570
88	4,737	4,625	4,892	1,372	930	1,762
87	4,547	4,565	4,575	1,540	1,088	1,934
86	4,315	4,441	4,236	1,709	1,253	2,102
85	4,030	4,239	3,871	1,858	1,418	2,232
84	3,718	3,985	3,501	1,999	1,583	2,345
83	3,406	3,709	3,148	2,102	1,730	2,403
82	3,101	3,435	2,806	2,197	1,873	2,450
81	2,808	3,173	2,476	2,235	1,982	2,419
80	2,530	2,912	2,174	2,328	2,113	2,474
79	2,275	2,654	1,918	2,358	2,186	2,465
78	2,048	2,420	1,698	2,416	2,272	2,497
77	1,859	2,230	1,508	2,424	2,321	2,470
76	1,697	2,065	1,347	2,444	2,370	2,468
75	1,556	1,913	1,216	2,448	2,404	2,446
74	1,428	1,767	1,103	2,427	2,414	2,401
73	1,307	1,628	1,001	2,393	2,412	2,346
72	1,192	1,493	906	2,356	2,400	2,294
71	1,084	1,365	817	2,281	2,352	2,203
70	984	1,244	735	2,250	2,336	2,164
69	899	1,143	664	2,166	2,269	2,069
68	828	1,061	604	2,111	2,224	2,007
67	764	981	555	2,050	2,172	1,938
66	701	894	515	1,993	2,121	1,875
65	643	815	477	1,945	2,075	1,824
64	594	757	436	1,866	2,014	1,726
63	544	697	395	1,790	1,952	1,636
62	497	637	360	1,718	1,890	1,553
61	458	584	334	1,632	1,809	1,463
60	421	533	311	1,571	1,756	1,398
59	385	485	285.4	1,481	1,664	1,318
58	350	443	260	1,411	1,599	1,257
57	321	405	237.7	1,341	1,537	1,197
56	292.8	368	218.2	1,284	1,485	1,146
55	265.2	331	200.4	1,233	1,440	1,097
54	240.3	298.2	183.2	1,184	1,389	1,052
53	219.6	272.7	166.6	1,140	1,342	1,009
52	200.1	247.9	152.4	1,100	1,298	971
51	181.5	223.5	139.4	1,050	1,245	925
50	163.7	200.6	126.5	1,018	1,207	892
49	147.8	180.6	114.7	969	1,146	846
48	134.3	163.9	104.3	929	1,096	806
47	122.5	149.9	94.8	888	1,046	766
46	111.5	137.2	85.4	850	1,000	731
45	100.6	124.2	76.6	816	958	702
44	89.9	110.6	68.8	779	911	669
43	80.6	99.1	61.8	747	871	642
42	73.5	91.2	55.5	717	834	617
41	67.1	83.9	50	685	795	592
40	61	76.2	45.5	659	766	571
39	55.5	68.6	42.1	627	725	545
38	50.3	61.9	38.6	599	691	522
37	46	57.2	34.5	568	655	496
36	42.3	53.7	30.4	539	619	473
35	39.2	50.8	27	512	586	450
34	36.7	48.4	24.3	481	550	423
33	34.7	46.3	22.3	453	517	400
32	32.7	44.4	20.3	428	487	379
31	30.5	42	18.2	403	458	356
30	28.4	39.1	16.8	385	436	341
29	27	37.1	15.9	363	409	323
28	26.6	36.7	15.2	343	387	303
27	26.7	37.1	15	324	365	286.2
26	26.7	36.9	15.5	304	344	267.1
25	26.1	36.1	15.3	286.4	326	248.2
24	24.6	35.2	13.4	268.5	307	231.1
23	23.7	34.6	12.1	251.5	289	214.4
22	24	34.7	12.8	234.1	270.1	198.3
21	24	34.2	13.3	216.1	249.9	182.2
20	22.5	32.5	11.9	200.4	229.9	170.6
19	21.4	31.1	11.1	182.4	209.2	155.3
18	19.8	28.5	10.6	164.9	188.9	140.6
17	17	23.7	9.83	143.2	161.3	124.9
16	13.7	18.3	8.79	122.8	135.4	110
15	10.9	13.8	7.8	106.1	114.9	97.1
14	8.59	10.3	6.75	90.9	97.8	83.9
13	6.87	7.94	5.73	80.4	85.9	74.8
12	5.85	6.64	5.02	73.9	79.4	68.4
11	5.63	6.4	4.82	70.9	76.1	65.5
10	5.6	6.4	4.74	70.4	74.5	66.2
9	5.23	5.98	4.44	72.9	76.9	68.8
8	4.88	5.54	4.17	78.6	83.3	73.8
7	4.69	5.21	4.14	87.5	92.4	82.5
6	4.8	5.09	4.49	98.5	103	94
5	5.32	5.51	5.13	116.6	119.9	113.1
4	6.2	6.66	5.71	153.9	157.9	149.8
3	6.79	7.54	5.99	211.7	213.4	209.9
2	7.4	8.03	6.73	308	305	311
1	18.9	19.8	17.9	484	463	505
0	206.6	218.2	194.3	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 Italy, the most common age of death is 89, compared to 0 in Zimbabwe. The median age of death is 86.9 in Italy 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 Italy and Zimbabwe more than their death rates.

Life expectancy in other countries

+ -

1x