Life Expectancy in Switzerland vs Tanzania (1950-2026)

Life expectancy by current age

Chart Table

Switzerland

Male

Female

Tanzania

Male

Female

1x

Current age, years	Total life expectancy, years
	Switzerland			Tanzania
	Average	Male	Female	Average	Male	Female
100	102	101.9	102	102.5	101.9	102.6
99	101.1	101	101.2	101.7	101	101.7
98	100.3	100.2	100.3	100.8	100.1	100.9
97	99.5	99.3	99.5	100	99.2	100.1
96	98.7	98.5	98.8	99.1	98.4	99.3
95	97.9	97.7	98	98.3	97.5	98.4
94	97.2	97	97.3	97.4	96.6	97.7
93	96.5	96.2	96.6	96.6	95.8	96.9
92	95.8	95.5	96	95.8	94.9	96.1
91	95.2	94.8	95.4	95.1	94.1	95.4
90	94.5	94.1	94.8	94.3	93.3	94.6
89	94	93.5	94.2	93.5	92.5	93.9
88	93.4	92.9	93.7	92.7	91.7	93.2
87	92.9	92.3	93.2	92	90.9	92.5
86	92.4	91.8	92.8	91.3	90.1	91.9
85	91.9	91.3	92.4	90.6	89.4	91.2
84	91.5	90.8	92	89.9	88.7	90.6
83	91.1	90.4	91.6	89.2	88	90
82	90.7	90	91.3	88.6	87.3	89.4
81	90.4	89.6	91	87.9	86.6	88.9
80	90.1	89.2	90.7	87.3	86	88.3
79	89.8	88.9	90.5	86.8	85.3	87.8
78	89.5	88.5	90.2	86.2	84.7	87.3
77	89.2	88.2	90	85.6	84.1	86.8
76	89	87.9	89.8	85.1	83.5	86.3
75	88.7	87.7	89.6	84.5	83	85.8
74	88.5	87.4	89.4	84	82.4	85.3
73	88.3	87.1	89.3	83.5	81.9	84.8
72	88.1	86.9	89.1	83	81.4	84.3
71	87.9	86.6	88.9	82.5	80.9	83.9
70	87.7	86.4	88.8	82.1	80.4	83.4
69	87.5	86.2	88.7	81.6	79.9	83
68	87.3	86	88.5	81.2	79.4	82.6
67	87.2	85.8	88.4	80.7	79	82.2
66	87	85.6	88.3	80.3	78.5	81.8
65	86.9	85.4	88.1	79.9	78.1	81.4
64	86.7	85.3	88	79.5	77.6	81
63	86.6	85.1	87.9	79.1	77.2	80.7
62	86.5	85	87.8	78.7	76.8	80.3
61	86.3	84.8	87.8	78.4	76.4	80
60	86.2	84.7	87.7	78	76.1	79.7
59	86.1	84.6	87.6	77.7	75.7	79.4
58	86	84.5	87.5	77.4	75.4	79.1
57	85.9	84.4	87.4	77.1	75	78.9
56	85.9	84.3	87.4	76.8	74.7	78.6
55	85.8	84.2	87.3	76.5	74.4	78.3
54	85.7	84.1	87.3	76.2	74.1	78.1
53	85.6	84	87.2	75.9	73.8	77.9
52	85.6	83.9	87.2	75.7	73.5	77.6
51	85.5	83.8	87.1	75.4	73.3	77.4
50	85.5	83.8	87.1	75.2	73	77.2
49	85.4	83.7	87	75	72.7	77
48	85.4	83.7	87	74.7	72.5	76.8
47	85.3	83.6	87	74.5	72.3	76.6
46	85.3	83.6	86.9	74.3	72	76.5
45	85.2	83.5	86.9	74.1	71.8	76.3
44	85.2	83.5	86.9	73.9	71.6	76.1
43	85.2	83.5	86.8	73.8	71.4	76
42	85.2	83.4	86.8	73.6	71.2	75.8
41	85.1	83.4	86.8	73.4	71	75.6
40	85.1	83.4	86.8	73.2	70.8	75.5
39	85.1	83.3	86.8	73.1	70.7	75.4
38	85.1	83.3	86.7	72.9	70.5	75.2
37	85	83.3	86.7	72.8	70.3	75.1
36	85	83.3	86.7	72.6	70.2	75
35	85	83.2	86.7	72.5	70	74.8
34	85	83.2	86.7	72.4	69.9	74.7
33	85	83.2	86.7	72.2	69.7	74.6
32	84.9	83.2	86.7	72.1	69.6	74.5
31	84.9	83.1	86.7	72	69.5	74.4
30	84.9	83.1	86.6	71.9	69.3	74.3
29	84.9	83.1	86.6	71.8	69.2	74.2
28	84.9	83.1	86.6	71.7	69.1	74.1
27	84.9	83.1	86.6	71.6	69	74
26	84.9	83	86.6	71.4	68.9	73.9
25	84.8	83	86.6	71.4	68.7	73.9
24	84.8	83	86.6	71.3	68.6	73.8
23	84.8	83	86.6	71.2	68.5	73.7
22	84.8	83	86.6	71.1	68.4	73.6
21	84.8	82.9	86.6	71	68.3	73.6
20	84.8	82.9	86.6	70.9	68.2	73.5
19	84.7	82.9	86.5	70.8	68.1	73.4
18	84.7	82.9	86.5	70.8	68.1	73.4
17	84.7	82.8	86.5	70.7	68	73.3
16	84.7	82.8	86.5	70.6	67.9	73.3
15	84.7	82.8	86.5	70.6	67.9	73.2
14	84.7	82.8	86.5	70.5	67.8	73.2
13	84.7	82.8	86.5	70.5	67.8	73.2
12	84.7	82.8	86.5	70.5	67.7	73.1
11	84.7	82.8	86.5	70.4	67.7	73.1
10	84.7	82.8	86.5	70.4	67.7	73.1
9	84.7	82.8	86.5	70.4	67.6	73
8	84.7	82.8	86.5	70.3	67.6	73
7	84.7	82.8	86.5	70.3	67.5	72.9
6	84.7	82.8	86.5	70.2	67.5	72.9
5	84.7	82.8	86.5	70.2	67.4	72.8
4	84.7	82.8	86.5	70.1	67.3	72.7
3	84.6	82.8	86.5	69.9	67.2	72.6
2	84.6	82.8	86.5	69.8	67	72.4
1	84.6	82.7	86.4	69.5	66.8	72.2
0	84.4	82.5	86.2	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 Switzerland can expect to live to 84.9 years compared to 71.9 in Tanzania, rising to 86.9 and 79.9 at 65, and to 90.1 and 87.3 at 80 — higher than the 84.4 and 67.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Switzerland

Male

Female

Tanzania

Male

Female

1x

Age	Survival probability
	Switzerland			Tanzania
	Average	Male	Female	Average	Male	Female
100	2.59%	1.52%	3.5%	0.67%	0.12%	1.28%
99	3.94%	2.39%	5.27%	0.94%	0.2%	1.76%
98	5.76%	3.62%	7.62%	1.29%	0.3%	2.36%
97	8.1%	5.27%	10.6%	1.73%	0.46%	3.12%
96	11%	7.39%	14.2%	2.29%	0.68%	4.05%
95	14.4%	9.99%	18.3%	2.99%	0.98%	5.16%
94	18.3%	13.1%	23%	3.82%	1.38%	6.46%
93	22.6%	16.6%	28.1%	4.81%	1.89%	7.95%
92	27.2%	20.7%	33.3%	5.97%	2.55%	9.63%
91	32.1%	25%	38.6%	7.28%	3.35%	11.5%
90	37%	29.6%	43.9%	8.82%	4.35%	13.5%
89	41.8%	34.3%	49%	10.5%	5.52%	15.7%
88	46.6%	38.9%	53.9%	12.4%	6.9%	18.1%
87	51.1%	43.5%	58.5%	14.4%	8.47%	20.5%
86	55.4%	47.9%	62.6%	16.6%	10.2%	23.1%
85	59.3%	52.1%	66.4%	19%	12.2%	25.7%
84	63%	56%	69.8%	21.4%	14.3%	28.4%
83	66.3%	59.6%	72.8%	23.9%	16.6%	31%
82	69.3%	62.9%	75.5%	26.5%	19%	33.6%
81	72%	66%	77.9%	29%	21.4%	36.1%
80	74.4%	68.8%	79.9%	31.5%	24%	38.5%
79	76.6%	71.3%	81.8%	34.1%	26.6%	41%
78	78.5%	73.6%	83.4%	36.6%	29.2%	43.4%
77	80.3%	75.7%	84.9%	39.2%	31.8%	45.8%
76	81.9%	77.6%	86.2%	41.7%	34.5%	48.2%
75	83.4%	79.4%	87.4%	44.2%	37.1%	50.6%
74	84.7%	81.1%	88.5%	46.6%	39.7%	52.9%
73	86%	82.6%	89.5%	49%	42.2%	55.1%
72	87.2%	84%	90.4%	51.3%	44.7%	57.3%
71	88.2%	85.3%	91.2%	53.5%	47.1%	59.4%
70	89.2%	86.5%	91.9%	55.7%	49.5%	61.4%
69	90.1%	87.6%	92.6%	57.7%	51.8%	63.3%
68	90.9%	88.6%	93.2%	59.7%	54%	65.2%
67	91.7%	89.6%	93.8%	61.7%	56.2%	67%
66	92.4%	90.5%	94.3%	63.6%	58.3%	68.8%
65	93%	91.3%	94.8%	65.4%	60.3%	70.5%
64	93.6%	92.1%	95.2%	67.2%	62.3%	72%
63	94.2%	92.7%	95.6%	68.8%	64.2%	73.5%
62	94.7%	93.4%	96%	70.4%	66%	74.9%
61	95.1%	93.9%	96.3%	71.9%	67.6%	76.2%
60	95.5%	94.4%	96.6%	73.3%	69.3%	77.5%
59	95.9%	94.9%	96.9%	74.7%	70.8%	78.6%
58	96.2%	95.3%	97.1%	75.9%	72.2%	79.7%
57	96.5%	95.7%	97.4%	77.1%	73.6%	80.7%
56	96.8%	96%	97.6%	78.2%	74.9%	81.6%
55	97%	96.3%	97.8%	79.3%	76.1%	82.5%
54	97.3%	96.6%	97.9%	80.3%	77.3%	83.3%
53	97.5%	96.9%	98.1%	81.3%	78.4%	84.2%
52	97.7%	97.1%	98.2%	82.2%	79.4%	84.9%
51	97.8%	97.3%	98.4%	83%	80.4%	85.6%
50	98%	97.5%	98.5%	83.9%	81.4%	86.3%
49	98.1%	97.7%	98.6%	84.6%	82.3%	86.9%
48	98.2%	97.8%	98.7%	85.3%	83.1%	87.5%
47	98.3%	97.9%	98.8%	86%	83.9%	88.1%
46	98.4%	98.1%	98.8%	86.6%	84.7%	88.6%
45	98.5%	98.2%	98.9%	87.2%	85.4%	89.1%
44	98.6%	98.3%	99%	87.8%	86%	89.6%
43	98.7%	98.4%	99%	88.3%	86.7%	90%
42	98.8%	98.5%	99.1%	88.8%	87.2%	90.5%
41	98.8%	98.5%	99.1%	89.3%	87.8%	90.8%
40	98.9%	98.6%	99.2%	89.8%	88.3%	91.2%
39	98.9%	98.7%	99.2%	90.2%	88.8%	91.6%
38	99%	98.7%	99.2%	90.6%	89.3%	91.9%
37	99%	98.8%	99.3%	91%	89.8%	92.2%
36	99.1%	98.8%	99.3%	91.3%	90.2%	92.5%
35	99.1%	98.9%	99.3%	91.7%	90.6%	92.8%
34	99.1%	98.9%	99.3%	92%	90.9%	93.1%
33	99.2%	99%	99.4%	92.3%	91.3%	93.3%
32	99.2%	99%	99.4%	92.6%	91.6%	93.6%
31	99.2%	99%	99.4%	92.9%	92%	93.8%
30	99.3%	99.1%	99.4%	93.1%	92.3%	94%
29	99.3%	99.1%	99.5%	93.4%	92.5%	94.2%
28	99.3%	99.2%	99.5%	93.6%	92.8%	94.4%
27	99.3%	99.2%	99.5%	93.8%	93.1%	94.6%
26	99.4%	99.2%	99.5%	94%	93.3%	94.8%
25	99.4%	99.3%	99.5%	94.2%	93.6%	94.9%
24	99.4%	99.3%	99.5%	94.4%	93.8%	95.1%
23	99.4%	99.3%	99.5%	94.6%	94%	95.2%
22	99.5%	99.4%	99.6%	94.8%	94.2%	95.4%
21	99.5%	99.4%	99.6%	95%	94.4%	95.5%
20	99.5%	99.5%	99.6%	95.1%	94.6%	95.6%
19	99.5%	99.5%	99.6%	95.3%	94.8%	95.7%
18	99.6%	99.5%	99.6%	95.4%	95%	95.8%
17	99.6%	99.5%	99.6%	95.5%	95.1%	95.9%
16	99.6%	99.6%	99.6%	95.6%	95.2%	96%
15	99.6%	99.6%	99.6%	95.7%	95.3%	96.1%
14	99.6%	99.6%	99.6%	95.8%	95.4%	96.1%
13	99.6%	99.6%	99.6%	95.8%	95.5%	96.2%
12	99.6%	99.6%	99.6%	95.9%	95.5%	96.2%
11	99.6%	99.6%	99.6%	95.9%	95.6%	96.3%
10	99.6%	99.6%	99.7%	96%	95.7%	96.4%
9	99.6%	99.6%	99.7%	96.1%	95.7%	96.4%
8	99.6%	99.6%	99.7%	96.1%	95.8%	96.5%
7	99.6%	99.6%	99.7%	96.2%	95.9%	96.5%
6	99.6%	99.6%	99.7%	96.3%	96%	96.6%
5	99.7%	99.6%	99.7%	96.4%	96.1%	96.7%
4	99.7%	99.6%	99.7%	96.5%	96.2%	96.8%
3	99.7%	99.6%	99.7%	96.7%	96.4%	97%
2	99.7%	99.7%	99.7%	96.9%	96.6%	97.2%
1	99.7%	99.7%	99.7%	97.3%	97%	97.6%

This chart shows the odds of living to each age from birth. 95.5% of newborns in Switzerland and 73.3% in Tanzania are expected to live past 60, 89.2% and 55.7% past 70, 74.4% and 31.5% past 80, and only 37% 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

Switzerland

Male

Female

Tanzania

Male

Female

1x

Age	Probability of dying
	Switzerland			Tanzania
	Average	Male	Female	Average	Male	Female
100	37%	39.1%	36.3%	29.4%	38.6%	28.4%
99	34.3%	36.4%	33.7%	28.3%	37.1%	27.2%
98	31.6%	33.9%	30.8%	26.8%	35.3%	25.5%
97	28.9%	31.4%	28%	25.7%	33.9%	24.3%
96	26.2%	28.7%	25.3%	24.5%	32.3%	23%
95	23.7%	26%	22.7%	23.3%	30.7%	21.6%
94	21.3%	23.6%	20.3%	21.8%	28.9%	20.1%
93	19.1%	21.4%	18%	20.6%	27.3%	18.7%
92	17%	19.5%	15.8%	19.4%	25.7%	17.5%
91	15.1%	17.5%	13.8%	18.1%	24%	16%
90	13.3%	15.5%	12%	17.4%	22.9%	15.3%
89	11.6%	13.6%	10.5%	16.1%	21.3%	13.9%
88	10.2%	11.9%	9.08%	15.2%	20%	13%
87	8.86%	10.5%	7.78%	14.2%	18.6%	12%
86	7.67%	9.2%	6.62%	13.3%	17.3%	11.1%
85	6.66%	8.02%	5.68%	12.3%	16%	10.2%
84	5.78%	6.96%	4.88%	11.4%	14.9%	9.37%
83	5%	6.05%	4.18%	10.4%	13.7%	8.46%
82	4.31%	5.27%	3.56%	9.6%	12.6%	7.7%
81	3.75%	4.64%	3.02%	8.6%	11.4%	6.8%
80	3.26%	4.07%	2.58%	8.09%	10.6%	6.4%
79	2.84%	3.56%	2.24%	7.47%	9.73%	5.95%
78	2.49%	3.12%	1.96%	7.01%	9.02%	5.65%
77	2.2%	2.76%	1.73%	6.47%	8.26%	5.24%
76	1.97%	2.47%	1.53%	6.05%	7.65%	4.95%
75	1.78%	2.24%	1.37%	5.63%	7.08%	4.66%
74	1.61%	2.05%	1.22%	5.22%	6.52%	4.35%
73	1.46%	1.87%	1.1%	4.83%	6.02%	4.06%
72	1.33%	1.7%	1%	4.5%	5.58%	3.8%
71	1.2%	1.53%	0.9%	4.12%	5.1%	3.49%
70	1.08%	1.37%	0.8%	3.91%	4.8%	3.33%
69	0.97%	1.24%	0.72%	3.59%	4.41%	3.06%
68	0.9%	1.16%	0.65%	3.37%	4.12%	2.88%
67	0.84%	1.08%	0.61%	3.16%	3.84%	2.7%
66	0.77%	0.98%	0.57%	2.97%	3.6%	2.54%
65	0.71%	0.89%	0.53%	2.83%	3.4%	2.41%
64	0.64%	0.82%	0.46%	2.61%	3.15%	2.2%
63	0.57%	0.74%	0.41%	2.42%	2.92%	2.02%
62	0.52%	0.66%	0.37%	2.25%	2.71%	1.86%
61	0.47%	0.6%	0.34%	2.06%	2.49%	1.7%
60	0.43%	0.54%	0.31%	1.94%	2.34%	1.58%
59	0.38%	0.47%	0.29%	1.78%	2.14%	1.44%
58	0.34%	0.42%	0.26%	1.66%	1.99%	1.34%
57	0.31%	0.39%	0.23%	1.54%	1.85%	1.24%
56	0.29%	0.36%	0.21%	1.44%	1.73%	1.16%
55	0.26%	0.33%	0.2%	1.35%	1.62%	1.09%
54	0.24%	0.29%	0.18%	1.26%	1.52%	1.02%
53	0.21%	0.26%	0.16%	1.18%	1.42%	0.95%
52	0.19%	0.23%	0.14%	1.11%	1.34%	0.9%
51	0.17%	0.21%	0.13%	1.03%	1.24%	0.83%
50	0.16%	0.19%	0.12%	0.97%	1.17%	0.79%
49	0.14%	0.17%	0.11%	0.9%	1.08%	0.73%
48	0.12%	0.15%	0.1%	0.84%	1.01%	0.68%
47	0.11%	0.14%	0.08%	0.78%	0.94%	0.63%
46	0.1%	0.13%	0.08%	0.73%	0.88%	0.59%
45	0.09%	0.12%	0.07%	0.69%	0.83%	0.56%
44	0.08%	0.1%	0.07%	0.64%	0.77%	0.52%
43	0.08%	0.09%	0.06%	0.6%	0.72%	0.49%
42	0.07%	0.09%	0.05%	0.57%	0.68%	0.47%
41	0.06%	0.08%	0.04%	0.53%	0.63%	0.44%
40	0.05%	0.07%	0.04%	0.51%	0.6%	0.42%
39	0.05%	0.07%	0.03%	0.47%	0.56%	0.39%
38	0.05%	0.06%	0.03%	0.45%	0.53%	0.37%
37	0.04%	0.06%	0.03%	0.42%	0.5%	0.34%
36	0.04%	0.05%	0.03%	0.39%	0.47%	0.33%
35	0.04%	0.05%	0.03%	0.37%	0.44%	0.31%
34	0.03%	0.05%	0.02%	0.35%	0.41%	0.29%
33	0.03%	0.04%	0.02%	0.33%	0.39%	0.27%
32	0.03%	0.04%	0.02%	0.31%	0.37%	0.25%
31	0.03%	0.04%	0.02%	0.29%	0.34%	0.24%
30	0.03%	0.04%	0.02%	0.28%	0.33%	0.23%
29	0.03%	0.04%	0.02%	0.26%	0.31%	0.21%
28	0.03%	0.04%	0.02%	0.25%	0.3%	0.2%
27	0.03%	0.04%	0.01%	0.24%	0.28%	0.19%
26	0.03%	0.04%	0.01%	0.22%	0.27%	0.18%
25	0.03%	0.04%	0.01%	0.21%	0.26%	0.17%
24	0.03%	0.04%	0.02%	0.2%	0.25%	0.16%
23	0.03%	0.04%	0.02%	0.19%	0.24%	0.15%
22	0.03%	0.04%	0.01%	0.18%	0.23%	0.14%
21	0.02%	0.04%	0.008%	0.17%	0.21%	0.13%
20	0.02%	0.04%	0.009%	0.16%	0.2%	0.13%
19	0.02%	0.03%	0.01%	0.15%	0.18%	0.12%
18	0.02%	0.03%	0.01%	0.14%	0.17%	0.11%
17	0.02%	0.02%	0.01%	0.12%	0.14%	0.1%
16	0.01%	0.02%	0.008%	0.1%	0.12%	0.09%
15	0.01%	0.01%	0.007%	0.09%	0.1%	0.08%
14	0.009%	0.01%	0.007%	0.08%	0.09%	0.07%
13	0.007%	0.008%	0.007%	0.07%	0.08%	0.06%
12	0.006%	0.006%	0.006%	0.06%	0.07%	0.06%
11	0.005%	0.005%	0.006%	0.06%	0.07%	0.05%
10	0.005%	0.004%	0.005%	0.06%	0.07%	0.05%
9	0.005%	0.005%	0.004%	0.06%	0.07%	0.06%
8	0.005%	0.005%	0.005%	0.07%	0.07%	0.06%
7	0.005%	0.005%	0.005%	0.08%	0.08%	0.07%
6	0.005%	0.005%	0.005%	0.08%	0.09%	0.08%
5	0.005%	0.006%	0.004%	0.1%	0.11%	0.09%
4	0.006%	0.007%	0.004%	0.13%	0.14%	0.12%
3	0.007%	0.008%	0.005%	0.18%	0.18%	0.17%
2	0.008%	0.008%	0.007%	0.25%	0.26%	0.25%
1	0.02%	0.02%	0.02%	0.41%	0.41%	0.4%
0	0.3%	0.32%	0.28%	2.69%	2.99%	2.38%

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

The annual chance of dying is 0.3% in the birth year in Switzerland and 2.69% in Tanzania, 0.03% vs 0.28% at age 30, 0.43% vs 1.94% at 60, and 3.26% vs 8.09% at 80.

Death rate by age in Switzerland vs Tanzania

Chart Table

Switzerland

Male

Female

Tanzania

Male

Female

1x

Age	Death rate
	Switzerland			Tanzania
	Total	Male	Female	Total	Male	Female
100	811	392	1,166	140.1	0.71	294.9
99	1,351	871	1,775	266.5	72.6	478
98	1,820	1,226	2,350	344	107.1	602
97	2,344	1,656	2,970	444	155.1	756
96	2,881	2,120	3,585	562	218.8	930
95	3,402	2,594	4,160	695	300	1,116
94	3,893	3,081	4,667	834	398	1,297
93	4,317	3,568	5,050	989	516	1,486
92	4,634	4,025	5,255	1,159	656	1,682
91	4,836	4,388	5,312	1,316	805	1,836
90	4,910	4,590	5,271	1,536	994	2,078
89	4,875	4,659	5,136	1,690	1,174	2,190
88	4,748	4,648	4,894	1,881	1,377	2,351
87	4,529	4,563	4,549	2,045	1,575	2,462
86	4,245	4,408	4,146	2,207	1,777	2,566
85	3,949	4,181	3,771	2,336	1,957	2,629
84	3,638	3,899	3,407	2,452	2,143	2,662
83	3,312	3,604	3,047	2,499	2,269	2,625
82	2,988	3,315	2,686	2,540	2,389	2,588
81	2,697	3,059	2,351	2,490	2,434	2,451
80	2,424	2,802	2,060	2,549	2,548	2,467
79	2,175	2,539	1,829	2,545	2,586	2,439
78	1,958	2,296	1,639	2,569	2,636	2,453
77	1,770	2,088	1,469	2,533	2,630	2,402
76	1,613	1,919	1,321	2,519	2,638	2,384
75	1,482	1,780	1,195	2,489	2,625	2,358
74	1,364	1,658	1,083	2,431	2,589	2,297
73	1,260	1,546	986	2,367	2,543	2,235
72	1,160	1,430	899	2,309	2,496	2,179
71	1,061	1,310	818	2,205	2,404	2,072
70	962	1,187	736	2,174	2,375	2,046
69	877	1,088	663	2,072	2,284	1,936
68	819	1,026	607	2,015	2,226	1,877
67	770	968	568	1,948	2,160	1,806
66	715	888	539	1,889	2,097	1,743
65	657	812	500	1,848	2,051	1,698
64	598	752	439	1,753	1,961	1,588
63	540	684	391	1,666	1,874	1,488
62	490	619	356	1,583	1,789	1,396
61	449	566	326	1,484	1,686	1,293
60	409	512	301	1,422	1,617	1,227
59	366	450	278.7	1,327	1,514	1,135
58	328	400	254.4	1,257	1,436	1,069
57	299.8	371	227	1,185	1,359	1,002
56	277.6	348	205.6	1,126	1,294	949
55	257.1	318	194.8	1,069	1,234	895
54	233.1	284.3	180.9	1,015	1,174	848
53	205.5	252.9	157.2	962	1,116	802
52	182.7	227.9	136.6	914	1,062	763
51	166.4	207.7	124.2	856	999	711
50	153.6	188.4	118.4	817	955	680
49	139.6	168.2	110.6	761	892	633
48	122.7	148.4	96.4	716	840	596
47	107.9	132.7	82.6	671	789	558
46	99.2	123.3	74.6	632	744	525
45	92.2	114.1	69.7	599	705	498
44	83.3	101.5	64.7	563	661	469
43	74.9	91.8	57.5	533	625	445
42	67.9	86.6	48.7	507	593	423
41	59.7	75.9	43.1	476	557	397
40	53.2	67.1	39	455	533	380
39	49.9	65.1	34.3	428	500	357
38	47.4	62.9	31.4	405	473	338
37	43.3	54.8	31.6	382	446	318
36	39.3	47.2	31.1	361	420	301
35	36.1	44.5	27.4	341	398	284.4
34	34.4	44.5	23.9	321	375	266.3
33	33.9	44.3	23.1	303	353	251.3
32	32.3	41.8	22.5	286.8	335	237.8
31	29.2	37.4	20.6	269.7	316	222.6
30	28.2	35.8	20.2	258.9	303	213.8
29	27.8	36.1	19.1	245	287.2	202.1
28	26.1	36.1	15.4	233.1	274.4	191
27	25	36.6	12.6	222.2	262.5	181.1
26	26	38.4	12.5	211.5	251.5	171
25	27.5	39.6	14.5	201.9	242.2	161.1
24	28	38.3	17	192.7	232.5	152.5
23	27.1	37.2	16.4	183.7	223.1	143.7
22	25.4	38.5	11.5	174.2	212.6	135.4
21	24.5	39.8	8.4	164	200.4	127
20	24	38.2	8.96	154.3	187.4	120.7
19	23.5	34.5	11.8	142.8	172.9	112.2
18	21.7	29.1	13.8	130.5	157.1	103.4
17	17	22.5	11.2	114.1	134.6	93.3
16	12.5	16.6	8.23	98.8	113.8	83.6
15	10.1	12.7	7.44	85	95.7	74
14	8.64	9.9	7.31	73.3	81.7	64.7
13	7.36	7.93	6.76	65.1	71.8	58.2
12	6.05	6.11	5.98	60	66.3	53.6
11	5.04	4.6	5.51	57.8	63.8	51.6
10	4.54	4.09	5.02	57.7	63	52.2
9	4.56	4.64	4.48	59.9	65.2	54.4
8	4.69	4.68	4.71	64.7	70.4	58.8
7	4.74	4.51	4.98	72.2	78.1	66.1
6	4.82	5.05	4.58	81.7	87.3	76
5	5.21	6.16	4.2	96.7	101.8	91.4
4	5.93	7.31	4.48	125.6	131.7	119.3
3	6.53	7.74	5.26	171.2	177.9	164.3
2	7.66	8.22	7.07	246.7	252.7	240.5
1	22.5	22.6	22.4	394	394	394
0	303	322	283.2	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 Switzerland, the most common age of death is 90, compared to 0 in Tanzania. The median age of death is 87.2 in Switzerland 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 Switzerland and Tanzania more than their death rates.

Life expectancy in other countries

+ -

1x