Life Expectancy in Switzerland vs Zimbabwe (1950-2026)

Life expectancy by current age

Chart Table

Switzerland

Male

Female

Zimbabwe

Male

Female

1x

Current age, years	Total life expectancy, years
	Switzerland			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	102	101.9	102	102.2	101.9	102.2
99	101.1	101	101.2	101.2	101	101.3
98	100.3	100.2	100.3	100.4	100.1	100.4
97	99.5	99.3	99.5	99.5	99.2	99.5
96	98.7	98.5	98.8	98.6	98.4	98.7
95	97.9	97.7	98	97.7	97.5	97.8
94	97.2	97	97.3	96.9	96.6	97
93	96.5	96.2	96.6	96	95.7	96.1
92	95.8	95.5	96	95.2	94.9	95.3
91	95.2	94.8	95.4	94.4	94	94.5
90	94.5	94.1	94.8	93.6	93.2	93.8
89	94	93.5	94.2	92.8	92.4	93
88	93.4	92.9	93.7	92	91.6	92.2
87	92.9	92.3	93.2	91.2	90.8	91.5
86	92.4	91.8	92.8	90.5	90	90.8
85	91.9	91.3	92.4	89.8	89.2	90.1
84	91.5	90.8	92	89	88.4	89.4
83	91.1	90.4	91.6	88.4	87.7	88.7
82	90.7	90	91.3	87.7	87	88.1
81	90.4	89.6	91	87	86.3	87.5
80	90.1	89.2	90.7	86.4	85.6	86.9
79	89.8	88.9	90.5	85.8	84.9	86.3
78	89.5	88.5	90.2	85.1	84.2	85.7
77	89.2	88.2	90	84.5	83.6	85.2
76	89	87.9	89.8	83.9	83	84.6
75	88.7	87.7	89.6	83.4	82.3	84.1
74	88.5	87.4	89.4	82.8	81.7	83.5
73	88.3	87.1	89.3	82.2	81.2	83
72	88.1	86.9	89.1	81.7	80.6	82.5
71	87.9	86.6	88.9	81.2	80	82.1
70	87.7	86.4	88.8	80.7	79.5	81.6
69	87.5	86.2	88.7	80.2	79	81.1
68	87.3	86	88.5	79.7	78.4	80.7
67	87.2	85.8	88.4	79.2	77.9	80.2
66	87	85.6	88.3	78.8	77.5	79.8
65	86.9	85.4	88.1	78.3	77	79.4
64	86.7	85.3	88	77.9	76.5	79
63	86.6	85.1	87.9	77.5	76.1	78.6
62	86.5	85	87.8	77.1	75.6	78.2
61	86.3	84.8	87.8	76.7	75.2	77.9
60	86.2	84.7	87.7	76.3	74.8	77.5
59	86.1	84.6	87.6	75.9	74.4	77.2
58	86	84.5	87.5	75.6	74	76.9
57	85.9	84.4	87.4	75.2	73.6	76.6
56	85.9	84.3	87.4	74.9	73.2	76.3
55	85.8	84.2	87.3	74.6	72.8	76
54	85.7	84.1	87.3	74.2	72.5	75.7
53	85.6	84	87.2	73.9	72.1	75.4
52	85.6	83.9	87.2	73.6	71.8	75.1
51	85.5	83.8	87.1	73.3	71.4	74.8
50	85.5	83.8	87.1	73	71.1	74.6
49	85.4	83.7	87	72.7	70.8	74.3
48	85.4	83.7	87	72.5	70.5	74
47	85.3	83.6	87	72.2	70.2	73.8
46	85.3	83.6	86.9	71.9	69.9	73.6
45	85.2	83.5	86.9	71.7	69.6	73.3
44	85.2	83.5	86.9	71.4	69.3	73.1
43	85.2	83.5	86.8	71.2	69	72.9
42	85.2	83.4	86.8	70.9	68.7	72.7
41	85.1	83.4	86.8	70.7	68.5	72.5
40	85.1	83.4	86.8	70.5	68.2	72.2
39	85.1	83.3	86.8	70.2	68	72
38	85.1	83.3	86.7	70	67.8	71.9
37	85	83.3	86.7	69.8	67.5	71.7
36	85	83.3	86.7	69.6	67.3	71.5
35	85	83.2	86.7	69.4	67.1	71.3
34	85	83.2	86.7	69.2	66.9	71.1
33	85	83.2	86.7	69	66.7	71
32	84.9	83.2	86.7	68.9	66.5	70.8
31	84.9	83.1	86.7	68.7	66.3	70.6
30	84.9	83.1	86.6	68.5	66.2	70.5
29	84.9	83.1	86.6	68.4	66	70.4
28	84.9	83.1	86.6	68.2	65.8	70.2
27	84.9	83.1	86.6	68.1	65.7	70.1
26	84.9	83	86.6	68	65.5	70
25	84.8	83	86.6	67.8	65.4	69.8
24	84.8	83	86.6	67.7	65.3	69.7
23	84.8	83	86.6	67.6	65.1	69.6
22	84.8	83	86.6	67.5	65	69.5
21	84.8	82.9	86.6	67.4	64.9	69.4
20	84.8	82.9	86.6	67.3	64.8	69.3
19	84.7	82.9	86.5	67.2	64.7	69.3
18	84.7	82.9	86.5	67.1	64.6	69.2
17	84.7	82.8	86.5	67	64.5	69.1
16	84.7	82.8	86.5	67	64.4	69.1
15	84.7	82.8	86.5	66.9	64.4	69
14	84.7	82.8	86.5	66.8	64.3	69
13	84.7	82.8	86.5	66.8	64.3	68.9
12	84.7	82.8	86.5	66.8	64.2	68.9
11	84.7	82.8	86.5	66.7	64.2	68.8
10	84.7	82.8	86.5	66.7	64.2	68.8
9	84.7	82.8	86.5	66.6	64.1	68.8
8	84.7	82.8	86.5	66.6	64.1	68.7
7	84.7	82.8	86.5	66.5	64	68.7
6	84.7	82.8	86.5	66.5	64	68.6
5	84.7	82.8	86.5	66.4	63.9	68.5
4	84.7	82.8	86.5	66.3	63.8	68.4
3	84.6	82.8	86.5	66.2	63.6	68.3
2	84.6	82.8	86.5	66	63.5	68.1
1	84.6	82.7	86.4	65.6	63.2	67.7
0	84.4	82.5	86.2	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 Switzerland can expect to live to 84.9 years compared to 68.5 in Zimbabwe, rising to 86.9 and 78.3 at 65, and to 90.1 and 86.4 at 80 — higher than the 84.4 and 63.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Switzerland

Male

Female

Zimbabwe

Male

Female

1x

Age	Survival probability
	Switzerland			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	2.59%	1.52%	3.5%	0.2%	0.07%	0.33%
99	3.94%	2.39%	5.27%	0.31%	0.12%	0.5%
98	5.76%	3.62%	7.62%	0.46%	0.18%	0.73%
97	8.1%	5.27%	10.6%	0.66%	0.27%	1.05%
96	11%	7.39%	14.2%	0.94%	0.4%	1.47%
95	14.4%	9.99%	18.3%	1.3%	0.59%	2.02%
94	18.3%	13.1%	23%	1.77%	0.83%	2.71%
93	22.6%	16.6%	28.1%	2.36%	1.15%	3.55%
92	27.2%	20.7%	33.3%	3.08%	1.57%	4.57%
91	32.1%	25%	38.6%	3.95%	2.09%	5.75%
90	37%	29.6%	43.9%	4.99%	2.73%	7.15%
89	41.8%	34.3%	49%	6.18%	3.51%	8.72%
88	46.6%	38.9%	53.9%	7.56%	4.44%	10.5%
87	51.1%	43.5%	58.5%	9.1%	5.53%	12.4%
86	55.4%	47.9%	62.6%	10.8%	6.78%	14.5%
85	59.3%	52.1%	66.4%	12.7%	8.2%	16.8%
84	63%	56%	69.8%	14.7%	9.78%	19.1%
83	66.3%	59.6%	72.8%	16.8%	11.5%	21.5%
82	69.3%	62.9%	75.5%	19%	13.4%	24%
81	72%	66%	77.9%	21.2%	15.4%	26.4%
80	74.4%	68.8%	79.9%	23.5%	17.5%	28.8%
79	76.6%	71.3%	81.8%	25.9%	19.7%	31.3%
78	78.5%	73.6%	83.4%	28.3%	21.9%	33.8%
77	80.3%	75.7%	84.9%	30.7%	24.3%	36.3%
76	81.9%	77.6%	86.2%	33.2%	26.6%	38.7%
75	83.4%	79.4%	87.4%	35.6%	29%	41.2%
74	84.7%	81.1%	88.5%	38%	31.4%	43.6%
73	86%	82.6%	89.5%	40.4%	33.9%	45.9%
72	87.2%	84%	90.4%	42.8%	36.3%	48.2%
71	88.2%	85.3%	91.2%	45.1%	38.6%	50.4%
70	89.2%	86.5%	91.9%	47.3%	40.9%	52.6%
69	90.1%	87.6%	92.6%	49.5%	43.2%	54.7%
68	90.9%	88.6%	93.2%	51.6%	45.4%	56.7%
67	91.7%	89.6%	93.8%	53.6%	47.6%	58.6%
66	92.4%	90.5%	94.3%	55.6%	49.7%	60.5%
65	93%	91.3%	94.8%	57.6%	51.8%	62.3%
64	93.6%	92.1%	95.2%	59.5%	53.8%	64%
63	94.2%	92.7%	95.6%	61.2%	55.8%	65.7%
62	94.7%	93.4%	96%	63%	57.7%	67.2%
61	95.1%	93.9%	96.3%	64.6%	59.5%	68.7%
60	95.5%	94.4%	96.6%	66.2%	61.2%	70.1%
59	95.9%	94.9%	96.9%	67.6%	62.9%	71.4%
58	96.2%	95.3%	97.1%	69.1%	64.5%	72.7%
57	96.5%	95.7%	97.4%	70.4%	66%	73.9%
56	96.8%	96%	97.6%	71.7%	67.5%	75%
55	97%	96.3%	97.8%	72.9%	69%	76.1%
54	97.3%	96.6%	97.9%	74.1%	70.3%	77.2%
53	97.5%	96.9%	98.1%	75.2%	71.7%	78.2%
52	97.7%	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	98.2%	97.8%	98.7%	80.3%	77.7%	82.6%
47	98.3%	97.9%	98.8%	81.2%	78.7%	83.4%
46	98.4%	98.1%	98.8%	82%	79.7%	84.1%
45	98.5%	98.2%	98.9%	82.9%	80.7%	84.8%
44	98.6%	98.3%	99%	83.6%	81.6%	85.5%
43	98.7%	98.4%	99%	84.4%	82.5%	86.1%
42	98.8%	98.5%	99.1%	85.1%	83.3%	86.7%
41	98.8%	98.5%	99.1%	85.8%	84.1%	87.3%
40	98.9%	98.6%	99.2%	86.4%	84.9%	87.9%
39	98.9%	98.7%	99.2%	87.1%	85.6%	88.4%
38	99%	98.7%	99.2%	87.7%	86.3%	89%
37	99%	98.8%	99.3%	88.2%	86.9%	89.5%
36	99.1%	98.8%	99.3%	88.8%	87.5%	89.9%
35	99.1%	98.9%	99.3%	89.3%	88.1%	90.4%
34	99.1%	98.9%	99.3%	89.8%	88.7%	90.8%
33	99.2%	99%	99.4%	90.2%	89.2%	91.2%
32	99.2%	99%	99.4%	90.7%	89.7%	91.6%
31	99.2%	99%	99.4%	91.1%	90.1%	91.9%
30	99.3%	99.1%	99.4%	91.4%	90.6%	92.3%
29	99.3%	99.1%	99.5%	91.8%	91%	92.6%
28	99.3%	99.2%	99.5%	92.1%	91.4%	92.9%
27	99.3%	99.2%	99.5%	92.5%	91.7%	93.2%
26	99.4%	99.2%	99.5%	92.8%	92.1%	93.5%
25	99.4%	99.3%	99.5%	93.1%	92.4%	93.7%
24	99.4%	99.3%	99.5%	93.3%	92.7%	93.9%
23	99.4%	99.3%	99.5%	93.6%	93%	94.2%
22	99.5%	99.4%	99.6%	93.8%	93.3%	94.4%
21	99.5%	99.4%	99.6%	94%	93.5%	94.5%
20	99.5%	99.5%	99.6%	94.2%	93.8%	94.7%
19	99.5%	99.5%	99.6%	94.4%	94%	94.9%
18	99.6%	99.5%	99.6%	94.6%	94.2%	95%
17	99.6%	99.5%	99.6%	94.7%	94.3%	95.1%
16	99.6%	99.6%	99.6%	94.8%	94.5%	95.2%
15	99.6%	99.6%	99.6%	94.9%	94.6%	95.3%
14	99.6%	99.6%	99.6%	95%	94.7%	95.4%
13	99.6%	99.6%	99.6%	95.1%	94.8%	95.5%
12	99.6%	99.6%	99.6%	95.2%	94.8%	95.6%
11	99.6%	99.6%	99.6%	95.3%	94.9%	95.6%
10	99.6%	99.6%	99.7%	95.3%	95%	95.7%
9	99.6%	99.6%	99.7%	95.4%	95.1%	95.8%
8	99.6%	99.6%	99.7%	95.5%	95.1%	95.8%
7	99.6%	99.6%	99.7%	95.6%	95.2%	95.9%
6	99.6%	99.6%	99.7%	95.7%	95.3%	96%
5	99.7%	99.6%	99.7%	95.8%	95.5%	96.1%
4	99.7%	99.6%	99.7%	95.9%	95.6%	96.3%
3	99.7%	99.6%	99.7%	96.2%	95.8%	96.5%
2	99.7%	99.7%	99.7%	96.5%	96.1%	96.8%
1	99.7%	99.7%	99.7%	96.9%	96.6%	97.3%

This chart shows the odds of living to each age from birth. 95.5% of newborns in Switzerland and 66.2% in Zimbabwe are expected to live past 60, 89.2% and 47.3% past 70, 74.4% and 23.5% past 80, and only 37% 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

Switzerland

Male

Female

Zimbabwe

Male

Female

1x

Age	Probability of dying
	Switzerland			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	37%	39.1%	36.3%	35.7%	38.2%	35%
99	34.3%	36.4%	33.7%	34.3%	36.9%	33.6%
98	31.6%	33.9%	30.8%	32.4%	35.2%	31.7%
97	28.9%	31.4%	28%	31.1%	33.9%	30.2%
96	26.2%	28.7%	25.3%	29.6%	32.5%	28.7%
95	23.7%	26%	22.7%	28.1%	31%	27.1%
94	21.3%	23.6%	20.3%	26.4%	29.5%	25.4%
93	19.1%	21.4%	18%	24.9%	27.9%	23.7%
92	17%	19.5%	15.8%	23.5%	26.4%	22.2%
91	15.1%	17.5%	13.8%	21.9%	24.9%	20.6%
90	13.3%	15.5%	12%	20.9%	23.7%	19.6%
89	11.6%	13.6%	10.5%	19.3%	22.2%	18%
88	10.2%	11.9%	9.08%	18.2%	20.9%	16.8%
87	8.86%	10.5%	7.78%	16.9%	19.7%	15.6%
86	7.67%	9.2%	6.62%	15.8%	18.5%	14.5%
85	6.66%	8.02%	5.68%	14.7%	17.3%	13.3%
84	5.78%	6.96%	4.88%	13.6%	16.2%	12.3%
83	5%	6.05%	4.18%	12.5%	15%	11.2%
82	4.31%	5.27%	3.56%	11.6%	14%	10.2%
81	3.75%	4.64%	3.02%	10.5%	12.9%	9.17%
80	3.26%	4.07%	2.58%	9.89%	12.1%	8.58%
79	2.84%	3.56%	2.24%	9.11%	11.1%	7.87%
78	2.49%	3.12%	1.96%	8.54%	10.4%	7.38%
77	2.2%	2.76%	1.73%	7.89%	9.57%	6.81%
76	1.97%	2.47%	1.53%	7.37%	8.9%	6.37%
75	1.78%	2.24%	1.37%	6.87%	8.28%	5.94%
74	1.61%	2.05%	1.22%	6.38%	7.68%	5.51%
73	1.46%	1.87%	1.1%	5.92%	7.12%	5.11%
72	1.33%	1.7%	1%	5.51%	6.62%	4.76%
71	1.2%	1.53%	0.9%	5.06%	6.09%	4.37%
70	1.08%	1.37%	0.8%	4.75%	5.7%	4.11%
69	0.97%	1.24%	0.72%	4.38%	5.25%	3.78%
68	0.9%	1.16%	0.65%	4.09%	4.9%	3.54%
67	0.84%	1.08%	0.61%	3.82%	4.56%	3.31%
66	0.77%	0.98%	0.57%	3.58%	4.26%	3.1%
65	0.71%	0.89%	0.53%	3.38%	4.01%	2.93%
64	0.64%	0.82%	0.46%	3.14%	3.74%	2.7%
63	0.57%	0.74%	0.41%	2.92%	3.5%	2.49%
62	0.52%	0.66%	0.37%	2.73%	3.28%	2.31%
61	0.47%	0.6%	0.34%	2.53%	3.04%	2.13%
60	0.43%	0.54%	0.31%	2.37%	2.87%	1.99%
59	0.38%	0.47%	0.29%	2.19%	2.65%	1.85%
58	0.34%	0.42%	0.26%	2.04%	2.48%	1.73%
57	0.31%	0.39%	0.23%	1.91%	2.33%	1.62%
56	0.29%	0.36%	0.21%	1.79%	2.2%	1.53%
55	0.26%	0.33%	0.2%	1.69%	2.09%	1.44%
54	0.24%	0.29%	0.18%	1.6%	1.97%	1.36%
53	0.21%	0.26%	0.16%	1.52%	1.87%	1.29%
52	0.19%	0.23%	0.14%	1.44%	1.78%	1.23%
51	0.17%	0.21%	0.13%	1.36%	1.68%	1.15%
50	0.16%	0.19%	0.12%	1.3%	1.6%	1.1%
49	0.14%	0.17%	0.11%	1.22%	1.5%	1.03%
48	0.12%	0.15%	0.1%	1.16%	1.41%	0.98%
47	0.11%	0.14%	0.08%	1.09%	1.33%	0.92%
46	0.1%	0.13%	0.08%	1.04%	1.25%	0.87%
45	0.09%	0.12%	0.07%	0.99%	1.19%	0.83%
44	0.08%	0.1%	0.07%	0.93%	1.12%	0.78%
43	0.08%	0.09%	0.06%	0.89%	1.06%	0.75%
42	0.07%	0.09%	0.05%	0.84%	1%	0.71%
41	0.06%	0.08%	0.04%	0.8%	0.95%	0.68%
40	0.05%	0.07%	0.04%	0.76%	0.9%	0.65%
39	0.05%	0.07%	0.03%	0.72%	0.85%	0.62%
38	0.05%	0.06%	0.03%	0.68%	0.8%	0.59%
37	0.04%	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	0.03%	0.05%	0.02%	0.54%	0.62%	0.47%
33	0.03%	0.04%	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%	0.01%	0.35%	0.4%	0.31%
26	0.03%	0.04%	0.01%	0.33%	0.37%	0.29%
25	0.03%	0.04%	0.01%	0.31%	0.35%	0.26%
24	0.03%	0.04%	0.02%	0.29%	0.33%	0.25%
23	0.03%	0.04%	0.02%	0.27%	0.31%	0.23%
22	0.03%	0.04%	0.01%	0.25%	0.29%	0.21%
21	0.02%	0.04%	0.008%	0.23%	0.27%	0.19%
20	0.02%	0.04%	0.009%	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%	0.008%	0.13%	0.14%	0.12%
15	0.01%	0.01%	0.007%	0.11%	0.12%	0.1%
14	0.009%	0.01%	0.007%	0.1%	0.1%	0.09%
13	0.007%	0.008%	0.007%	0.08%	0.09%	0.08%
12	0.006%	0.006%	0.006%	0.08%	0.08%	0.07%
11	0.005%	0.005%	0.006%	0.07%	0.08%	0.07%
10	0.005%	0.004%	0.005%	0.07%	0.08%	0.07%
9	0.005%	0.005%	0.004%	0.08%	0.08%	0.07%
8	0.005%	0.005%	0.005%	0.08%	0.09%	0.08%
7	0.005%	0.005%	0.005%	0.09%	0.1%	0.09%
6	0.005%	0.005%	0.005%	0.1%	0.11%	0.1%
5	0.005%	0.006%	0.004%	0.12%	0.13%	0.12%
4	0.006%	0.007%	0.004%	0.16%	0.17%	0.16%
3	0.007%	0.008%	0.005%	0.22%	0.22%	0.22%
2	0.008%	0.008%	0.007%	0.32%	0.32%	0.32%
1	0.02%	0.02%	0.02%	0.5%	0.48%	0.52%
0	0.3%	0.32%	0.28%	3.05%	3.4%	2.7%

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

The annual chance of dying is 0.3% in the birth year in Switzerland and 3.05% in Zimbabwe, 0.03% vs 0.42% at age 30, 0.43% vs 2.37% at 60, and 3.26% vs 9.89% at 80.

Death rate by age in Switzerland vs Zimbabwe

Chart Table

Switzerland

Male

Female

Zimbabwe

Male

Female

1x

Age	Death rate
	Switzerland			Zimbabwe
	Total	Male	Female	Total	Male	Female
100	811	392	1,166	24.9	0	53
99	1,351	871	1,775	105.4	43.2	168.4
98	1,820	1,226	2,350	147.6	63.5	232.4
97	2,344	1,656	2,970	205	92.4	318
96	2,881	2,120	3,585	277.6	131.3	423
95	3,402	2,594	4,160	366	181.8	548
94	3,893	3,081	4,667	469	244.7	687
93	4,317	3,568	5,050	588	322	843
92	4,634	4,025	5,255	724	414	1,016
91	4,836	4,388	5,312	863	518	1,184
90	4,910	4,590	5,271	1,040	647	1,401
89	4,875	4,659	5,136	1,196	779	1,570
88	4,748	4,648	4,894	1,372	930	1,762
87	4,529	4,563	4,549	1,540	1,088	1,934
86	4,245	4,408	4,146	1,709	1,253	2,102
85	3,949	4,181	3,771	1,858	1,418	2,232
84	3,638	3,899	3,407	1,999	1,583	2,345
83	3,312	3,604	3,047	2,102	1,730	2,403
82	2,988	3,315	2,686	2,197	1,873	2,450
81	2,697	3,059	2,351	2,235	1,982	2,419
80	2,424	2,802	2,060	2,328	2,113	2,474
79	2,175	2,539	1,829	2,358	2,186	2,465
78	1,958	2,296	1,639	2,416	2,272	2,497
77	1,770	2,088	1,469	2,424	2,321	2,470
76	1,613	1,919	1,321	2,444	2,370	2,468
75	1,482	1,780	1,195	2,448	2,404	2,446
74	1,364	1,658	1,083	2,427	2,414	2,401
73	1,260	1,546	986	2,393	2,412	2,346
72	1,160	1,430	899	2,356	2,400	2,294
71	1,061	1,310	818	2,281	2,352	2,203
70	962	1,187	736	2,250	2,336	2,164
69	877	1,088	663	2,166	2,269	2,069
68	819	1,026	607	2,111	2,224	2,007
67	770	968	568	2,050	2,172	1,938
66	715	888	539	1,993	2,121	1,875
65	657	812	500	1,945	2,075	1,824
64	598	752	439	1,866	2,014	1,726
63	540	684	391	1,790	1,952	1,636
62	490	619	356	1,718	1,890	1,553
61	449	566	326	1,632	1,809	1,463
60	409	512	301	1,571	1,756	1,398
59	366	450	278.7	1,481	1,664	1,318
58	328	400	254.4	1,411	1,599	1,257
57	299.8	371	227	1,341	1,537	1,197
56	277.6	348	205.6	1,284	1,485	1,146
55	257.1	318	194.8	1,233	1,440	1,097
54	233.1	284.3	180.9	1,184	1,389	1,052
53	205.5	252.9	157.2	1,140	1,342	1,009
52	182.7	227.9	136.6	1,100	1,298	971
51	166.4	207.7	124.2	1,050	1,245	925
50	153.6	188.4	118.4	1,018	1,207	892
49	139.6	168.2	110.6	969	1,146	846
48	122.7	148.4	96.4	929	1,096	806
47	107.9	132.7	82.6	888	1,046	766
46	99.2	123.3	74.6	850	1,000	731
45	92.2	114.1	69.7	816	958	702
44	83.3	101.5	64.7	779	911	669
43	74.9	91.8	57.5	747	871	642
42	67.9	86.6	48.7	717	834	617
41	59.7	75.9	43.1	685	795	592
40	53.2	67.1	39	659	766	571
39	49.9	65.1	34.3	627	725	545
38	47.4	62.9	31.4	599	691	522
37	43.3	54.8	31.6	568	655	496
36	39.3	47.2	31.1	539	619	473
35	36.1	44.5	27.4	512	586	450
34	34.4	44.5	23.9	481	550	423
33	33.9	44.3	23.1	453	517	400
32	32.3	41.8	22.5	428	487	379
31	29.2	37.4	20.6	403	458	356
30	28.2	35.8	20.2	385	436	341
29	27.8	36.1	19.1	363	409	323
28	26.1	36.1	15.4	343	387	303
27	25	36.6	12.6	324	365	286.2
26	26	38.4	12.5	304	344	267.1
25	27.5	39.6	14.5	286.4	326	248.2
24	28	38.3	17	268.5	307	231.1
23	27.1	37.2	16.4	251.5	289	214.4
22	25.4	38.5	11.5	234.1	270.1	198.3
21	24.5	39.8	8.4	216.1	249.9	182.2
20	24	38.2	8.96	200.4	229.9	170.6
19	23.5	34.5	11.8	182.4	209.2	155.3
18	21.7	29.1	13.8	164.9	188.9	140.6
17	17	22.5	11.2	143.2	161.3	124.9
16	12.5	16.6	8.23	122.8	135.4	110
15	10.1	12.7	7.44	106.1	114.9	97.1
14	8.64	9.9	7.31	90.9	97.8	83.9
13	7.36	7.93	6.76	80.4	85.9	74.8
12	6.05	6.11	5.98	73.9	79.4	68.4
11	5.04	4.6	5.51	70.9	76.1	65.5
10	4.54	4.09	5.02	70.4	74.5	66.2
9	4.56	4.64	4.48	72.9	76.9	68.8
8	4.69	4.68	4.71	78.6	83.3	73.8
7	4.74	4.51	4.98	87.5	92.4	82.5
6	4.82	5.05	4.58	98.5	103	94
5	5.21	6.16	4.2	116.6	119.9	113.1
4	5.93	7.31	4.48	153.9	157.9	149.8
3	6.53	7.74	5.26	211.7	213.4	209.9
2	7.66	8.22	7.07	308	305	311
1	22.5	22.6	22.4	484	463	505
0	303	322	283.2	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 Switzerland, the most common age of death is 90, compared to 0 in Zimbabwe. The median age of death is 87.2 in Switzerland 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 Switzerland and Zimbabwe more than their death rates.

Life expectancy in other countries

+ -

1x