Life Expectancy in Germany vs South Africa (1950-2026)

Life expectancy by current age

Chart Table

Germany

Male

Female

South Africa

Male

Female

1x

Current age, years	Total life expectancy, years
	Germany			South Africa
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	103.4	103.1	103.5
99	101	100.9	101.1	102.5	102.3	102.6
98	100.2	100.1	100.2	101.7	101.5	101.7
97	99.4	99.2	99.4	100.8	100.7	100.9
96	98.6	98.4	98.6	100	99.9	100
95	97.8	97.6	97.9	99.2	99.1	99.2
94	97	96.8	97.1	98.4	98.3	98.4
93	96.3	96	96.4	97.6	97.5	97.7
92	95.6	95.3	95.7	96.9	96.7	96.9
91	94.9	94.5	95	96.1	96	96.2
90	94.2	93.9	94.4	95.4	95.2	95.5
89	93.6	93.2	93.8	94.7	94.4	94.8
88	93	92.5	93.2	94	93.7	94.1
87	92.4	91.9	92.7	93.3	92.9	93.4
86	91.9	91.3	92.2	92.6	92.2	92.7
85	91.3	90.8	91.7	91.9	91.5	92.1
84	90.9	90.3	91.3	91.3	90.8	91.5
83	90.4	89.8	90.9	90.6	90.1	90.9
82	90	89.3	90.5	90	89.4	90.3
81	89.6	88.8	90.2	89.4	88.7	89.7
80	89.2	88.4	89.8	88.8	88	89.1
79	88.9	88	89.6	88.1	87.4	88.5
78	88.6	87.6	89.3	87.5	86.7	88
77	88.2	87.3	89	86.9	86	87.4
76	88	86.9	88.8	86.3	85.3	86.9
75	87.7	86.6	88.6	85.7	84.7	86.4
74	87.4	86.3	88.3	85.2	84	85.9
73	87.1	85.9	88.1	84.6	83.4	85.4
72	86.9	85.6	87.9	84.1	82.8	84.9
71	86.6	85.3	87.7	83.6	82.2	84.5
70	86.3	85	87.5	83.1	81.7	84.1
69	86.1	84.7	87.3	82.6	81.1	83.6
68	85.9	84.4	87.2	82.1	80.5	83.2
67	85.6	84.2	87	81.6	80	82.8
66	85.4	83.9	86.8	81.2	79.4	82.4
65	85.2	83.7	86.7	80.7	78.9	82.1
64	85	83.4	86.5	80.3	78.4	81.7
63	84.8	83.2	86.4	79.9	77.9	81.4
62	84.6	82.9	86.2	79.4	77.4	81
61	84.5	82.7	86.1	79	76.9	80.7
60	84.3	82.5	86	78.7	76.5	80.4
59	84.1	82.3	85.9	78.3	76	80.1
58	84	82.2	85.8	77.9	75.6	79.8
57	83.9	82	85.7	77.5	75.2	79.5
56	83.7	81.9	85.6	77.2	74.8	79.2
55	83.6	81.7	85.5	76.9	74.4	78.9
54	83.5	81.6	85.4	76.5	74	78.7
53	83.4	81.5	85.3	76.2	73.6	78.4
52	83.3	81.4	85.3	75.9	73.3	78.2
51	83.2	81.3	85.2	75.6	72.9	77.9
50	83.2	81.2	85.1	75.3	72.6	77.7
49	83.1	81.1	85.1	75	72.2	77.4
48	83	81	85	74.7	71.9	77.2
47	83	80.9	85	74.4	71.6	77
46	82.9	80.9	84.9	74.2	71.3	76.7
45	82.9	80.8	84.9	73.9	71	76.5
44	82.8	80.7	84.9	73.6	70.7	76.3
43	82.8	80.7	84.8	73.4	70.4	76.1
42	82.7	80.6	84.8	73.1	70.2	75.8
41	82.7	80.6	84.8	72.9	69.9	75.6
40	82.7	80.6	84.7	72.6	69.7	75.4
39	82.6	80.5	84.7	72.4	69.4	75.2
38	82.6	80.5	84.7	72.2	69.2	75
37	82.6	80.4	84.7	72	68.9	74.8
36	82.5	80.4	84.6	71.8	68.7	74.6
35	82.5	80.4	84.6	71.6	68.5	74.5
34	82.5	80.3	84.6	71.4	68.3	74.3
33	82.5	80.3	84.6	71.2	68.1	74.1
32	82.4	80.3	84.6	71	67.9	73.9
31	82.4	80.3	84.6	70.8	67.7	73.8
30	82.4	80.2	84.5	70.6	67.5	73.6
29	82.4	80.2	84.5	70.4	67.3	73.5
28	82.4	80.2	84.5	70.3	67.1	73.3
27	82.3	80.2	84.5	70.1	66.9	73.2
26	82.3	80.1	84.5	70	66.8	73.1
25	82.3	80.1	84.5	69.9	66.6	73
24	82.3	80.1	84.5	69.7	66.5	72.9
23	82.3	80.1	84.5	69.6	66.3	72.8
22	82.3	80.1	84.5	69.5	66.2	72.7
21	82.2	80	84.5	69.4	66.1	72.6
20	82.2	80	84.4	69.3	66	72.6
19	82.2	80	84.4	69.2	65.9	72.5
18	82.2	80	84.4	69.2	65.8	72.4
17	82.2	80	84.4	69.1	65.7	72.4
16	82.2	80	84.4	69	65.7	72.3
15	82.2	79.9	84.4	69	65.6	72.3
14	82.2	79.9	84.4	68.9	65.6	72.3
13	82.2	79.9	84.4	68.9	65.5	72.2
12	82.2	79.9	84.4	68.9	65.5	72.2
11	82.2	79.9	84.4	68.9	65.5	72.2
10	82.1	79.9	84.4	68.8	65.4	72.2
9	82.1	79.9	84.4	68.8	65.4	72.1
8	82.1	79.9	84.4	68.8	65.4	72.1
7	82.1	79.9	84.4	68.8	65.4	72.1
6	82.1	79.9	84.4	68.7	65.3	72.1
5	82.1	79.9	84.4	68.7	65.3	72
4	82.1	79.9	84.4	68.6	65.2	72
3	82.1	79.9	84.3	68.5	65.1	71.9
2	82.1	79.9	84.3	68.4	64.9	71.8
1	82.1	79.8	84.3	68.1	64.7	71.5
0	81.9	79.6	84.1	66.7	63.1	70.2

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 Germany can expect to live to 82.4 years compared to 70.6 in South Africa, rising to 85.2 and 80.7 at 65, and to 89.2 and 88.8 at 80 — higher than the 81.9 and 66.7 years calculated at birth.

The chart above accounts for remaining lifespan and displays total life expectancy by age and gender in Germany and South Africa.

Probability of surviving to a given age

Chart Table

Germany

Male

Female

South Africa

Male

Female

1x

Age	Survival probability
	Germany			South Africa
	Average	Male	Female	Average	Male	Female
100	1.57%	0.87%	2.2%	1.63%	1%	2.22%
99	2.44%	1.4%	3.4%	2.11%	1.28%	2.88%
98	3.66%	2.17%	5.04%	2.68%	1.62%	3.67%
97	5.28%	3.24%	7.19%	3.36%	2.02%	4.59%
96	7.35%	4.66%	9.89%	4.15%	2.5%	5.67%
95	9.89%	6.48%	13.1%	5.06%	3.06%	6.91%
94	12.9%	8.74%	16.9%	6.09%	3.7%	8.3%
93	16.4%	11.4%	21.1%	7.24%	4.43%	9.84%
92	20.2%	14.5%	25.7%	8.49%	5.25%	11.5%
91	24.3%	18%	30.6%	9.86%	6.16%	13.3%
90	28.7%	21.7%	35.6%	11.3%	7.18%	15.2%
89	33.1%	25.6%	40.5%	12.9%	8.29%	17.3%
88	37.6%	29.7%	45.4%	14.6%	9.51%	19.4%
87	42%	33.8%	50.1%	16.4%	10.8%	21.7%
86	46.2%	37.9%	54.5%	18.2%	12.2%	24%
85	50.3%	41.9%	58.6%	20.1%	13.7%	26.3%
84	54%	45.7%	62.4%	22.1%	15.2%	28.6%
83	57.6%	49.3%	65.8%	24%	16.8%	31%
82	60.8%	52.8%	68.9%	26%	18.5%	33.4%
81	63.8%	56%	71.6%	28.1%	20.2%	35.8%
80	66.5%	58.9%	74%	30.2%	22%	38.2%
79	68.9%	61.7%	76.2%	32.3%	23.9%	40.6%
78	71.2%	64.3%	78.1%	34.6%	25.9%	43%
77	73.2%	66.7%	79.8%	36.8%	28%	45.4%
76	75.1%	68.9%	81.4%	39%	30.1%	47.7%
75	76.9%	71%	82.8%	41.2%	32.3%	50%
74	78.5%	73%	84.1%	43.4%	34.4%	52.1%
73	80.1%	74.9%	85.4%	45.5%	36.6%	54.2%
72	81.6%	76.7%	86.5%	47.5%	38.7%	56.2%
71	83%	78.4%	87.6%	49.6%	40.8%	58.2%
70	84.3%	80%	88.6%	51.6%	42.9%	60%
69	85.5%	81.6%	89.5%	53.5%	45.1%	61.9%
68	86.6%	83%	90.4%	55.5%	47.2%	63.6%
67	87.7%	84.3%	91.2%	57.3%	49.3%	65.3%
66	88.7%	85.6%	91.9%	59.2%	51.4%	66.8%
65	89.6%	86.8%	92.6%	60.9%	53.4%	68.3%
64	90.5%	88%	93.2%	62.6%	55.4%	69.8%
63	91.3%	89%	93.8%	64.2%	57.3%	71.1%
62	92.1%	90%	94.3%	65.7%	59.1%	72.4%
61	92.8%	90.9%	94.8%	67.2%	60.9%	73.6%
60	93.4%	91.7%	95.2%	68.7%	62.6%	74.7%
59	94%	92.5%	95.7%	70%	64.3%	75.9%
58	94.6%	93.1%	96%	71.4%	65.9%	76.9%
57	95.1%	93.8%	96.4%	72.7%	67.5%	78%
56	95.5%	94.3%	96.7%	73.9%	69%	78.9%
55	95.9%	94.8%	97%	75.1%	70.5%	79.9%
54	96.3%	95.3%	97.2%	76.2%	71.9%	80.7%
53	96.6%	95.7%	97.5%	77.3%	73.2%	81.6%
52	96.9%	96.1%	97.7%	78.4%	74.5%	82.4%
51	97.1%	96.4%	97.9%	79.4%	75.7%	83.1%
50	97.3%	96.7%	98%	80.3%	76.9%	83.9%
49	97.5%	96.9%	98.2%	81.2%	78%	84.6%
48	97.7%	97.2%	98.3%	82.1%	79.1%	85.3%
47	97.9%	97.4%	98.5%	83%	80.1%	85.9%
46	98%	97.6%	98.6%	83.8%	81.1%	86.6%
45	98.2%	97.7%	98.7%	84.6%	82%	87.2%
44	98.3%	97.9%	98.8%	85.3%	82.9%	87.8%
43	98.4%	98%	98.8%	86%	83.7%	88.4%
42	98.5%	98.1%	98.9%	86.7%	84.5%	89%
41	98.6%	98.3%	99%	87.4%	85.3%	89.6%
40	98.7%	98.4%	99%	88.1%	86%	90.1%
39	98.8%	98.5%	99.1%	88.7%	86.7%	90.6%
38	98.8%	98.6%	99.1%	89.2%	87.4%	91.1%
37	98.9%	98.6%	99.2%	89.8%	88.1%	91.6%
36	99%	98.7%	99.2%	90.4%	88.7%	92%
35	99%	98.8%	99.3%	90.9%	89.3%	92.5%
34	99.1%	98.9%	99.3%	91.4%	89.9%	92.9%
33	99.1%	98.9%	99.3%	91.8%	90.4%	93.3%
32	99.2%	99%	99.4%	92.3%	91%	93.6%
31	99.2%	99%	99.4%	92.7%	91.5%	94%
30	99.2%	99.1%	99.4%	93.1%	91.9%	94.3%
29	99.3%	99.1%	99.4%	93.5%	92.4%	94.6%
28	99.3%	99.2%	99.5%	93.9%	92.8%	94.9%
27	99.3%	99.2%	99.5%	94.2%	93.2%	95.2%
26	99.4%	99.2%	99.5%	94.5%	93.6%	95.4%
25	99.4%	99.3%	99.5%	94.8%	94%	95.7%
24	99.4%	99.3%	99.5%	95.1%	94.3%	95.9%
23	99.4%	99.4%	99.5%	95.3%	94.6%	96%
22	99.5%	99.4%	99.5%	95.5%	94.9%	96.2%
21	99.5%	99.4%	99.6%	95.7%	95.1%	96.3%
20	99.5%	99.5%	99.6%	95.9%	95.4%	96.5%
19	99.5%	99.5%	99.6%	96.1%	95.6%	96.6%
18	99.6%	99.5%	99.6%	96.2%	95.7%	96.7%
17	99.6%	99.6%	99.6%	96.3%	95.9%	96.8%
16	99.6%	99.6%	99.6%	96.4%	96%	96.9%
15	99.6%	99.6%	99.6%	96.5%	96.1%	97%
14	99.6%	99.6%	99.7%	96.6%	96.2%	97%
13	99.6%	99.6%	99.7%	96.6%	96.2%	97.1%
12	99.6%	99.6%	99.7%	96.7%	96.3%	97.1%
11	99.6%	99.6%	99.7%	96.7%	96.3%	97.1%
10	99.7%	99.6%	99.7%	96.8%	96.4%	97.2%
9	99.7%	99.6%	99.7%	96.8%	96.4%	97.2%
8	99.7%	99.6%	99.7%	96.8%	96.5%	97.2%
7	99.7%	99.6%	99.7%	96.9%	96.5%	97.3%
6	99.7%	99.7%	99.7%	96.9%	96.6%	97.3%
5	99.7%	99.7%	99.7%	97%	96.7%	97.4%
4	99.7%	99.7%	99.7%	97.1%	96.8%	97.4%
3	99.7%	99.7%	99.7%	97.2%	96.9%	97.6%
2	99.7%	99.7%	99.7%	97.5%	97.2%	97.8%
1	99.7%	99.7%	99.8%	97.8%	97.6%	98.1%

This chart shows the odds of living to each age from birth. 93.4% of newborns in Germany and 68.7% in South Africa are expected to live past 60, 84.3% and 51.6% past 70, 66.5% and 30.2% past 80, and only 28.7% and 11.3% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

Germany

Male

Female

South Africa

Male

Female

1x

Age	Probability of dying
	Germany			South Africa
	Average	Male	Female	Average	Male	Female
100	38.4%	40.3%	37.9%	23.6%	22.9%	23.9%
99	35.8%	37.9%	35.2%	22.5%	22%	22.8%
98	33.3%	35.4%	32.6%	21.3%	21%	21.5%
97	30.7%	32.9%	30%	20.2%	20%	20.2%
96	28.2%	30.5%	27.3%	19%	19.1%	19%
95	25.7%	28.2%	24.7%	18%	18.2%	17.9%
94	23.3%	25.9%	22.2%	16.9%	17.3%	16.8%
93	21.1%	23.6%	20%	15.9%	16.5%	15.6%
92	19%	21.3%	17.9%	14.8%	15.6%	14.5%
91	17%	19.1%	15.9%	13.8%	14.8%	13.5%
90	15.1%	17.1%	14%	13%	14.1%	12.6%
89	13.4%	15.4%	12.3%	12.3%	13.5%	11.8%
88	11.9%	13.7%	10.7%	11.5%	12.8%	11.1%
87	10.5%	12.2%	9.36%	10.8%	12.1%	10.3%
86	9.19%	10.8%	8.11%	10.1%	11.4%	9.6%
85	8.04%	9.54%	6.99%	9.43%	10.7%	8.88%
84	7.01%	8.39%	6.01%	8.78%	10%	8.21%
83	6.11%	7.38%	5.17%	8.21%	9.46%	7.62%
82	5.32%	6.49%	4.45%	7.71%	8.97%	7.1%
81	4.65%	5.72%	3.83%	7.3%	8.57%	6.66%
80	4.06%	5.05%	3.29%	6.96%	8.26%	6.28%
79	3.56%	4.47%	2.82%	6.67%	8%	5.94%
78	3.13%	3.98%	2.44%	6.37%	7.73%	5.61%
77	2.8%	3.59%	2.14%	6.06%	7.42%	5.26%
76	2.53%	3.26%	1.92%	5.71%	7.05%	4.89%
75	2.31%	2.99%	1.74%	5.35%	6.64%	4.53%
74	2.12%	2.74%	1.59%	4.98%	6.22%	4.17%
73	1.95%	2.53%	1.45%	4.64%	5.83%	3.85%
72	1.8%	2.34%	1.34%	4.34%	5.49%	3.57%
71	1.67%	2.17%	1.23%	4.09%	5.2%	3.33%
70	1.54%	2.01%	1.12%	3.87%	4.95%	3.12%
69	1.42%	1.86%	1.02%	3.67%	4.72%	2.92%
68	1.32%	1.73%	0.94%	3.48%	4.5%	2.74%
67	1.23%	1.61%	0.86%	3.28%	4.28%	2.55%
66	1.14%	1.49%	0.79%	3.08%	4.04%	2.37%
65	1.05%	1.39%	0.73%	2.88%	3.79%	2.19%
64	0.98%	1.29%	0.67%	2.68%	3.55%	2.03%
63	0.9%	1.19%	0.62%	2.5%	3.32%	1.88%
62	0.82%	1.08%	0.57%	2.34%	3.11%	1.75%
61	0.75%	0.98%	0.52%	2.2%	2.93%	1.65%
60	0.69%	0.89%	0.48%	2.08%	2.76%	1.55%
59	0.62%	0.81%	0.44%	1.98%	2.61%	1.47%
58	0.57%	0.74%	0.39%	1.88%	2.47%	1.39%
57	0.51%	0.66%	0.36%	1.78%	2.33%	1.32%
56	0.46%	0.6%	0.33%	1.68%	2.2%	1.24%
55	0.42%	0.54%	0.29%	1.58%	2.07%	1.16%
54	0.37%	0.48%	0.26%	1.49%	1.94%	1.09%
53	0.33%	0.43%	0.24%	1.4%	1.83%	1.02%
52	0.29%	0.38%	0.21%	1.32%	1.72%	0.96%
51	0.26%	0.33%	0.19%	1.25%	1.62%	0.91%
50	0.24%	0.3%	0.17%	1.19%	1.52%	0.87%
49	0.21%	0.27%	0.16%	1.13%	1.44%	0.84%
48	0.19%	0.24%	0.14%	1.08%	1.35%	0.8%
47	0.17%	0.21%	0.12%	1.03%	1.28%	0.78%
46	0.15%	0.19%	0.11%	0.98%	1.2%	0.75%
45	0.14%	0.17%	0.1%	0.93%	1.13%	0.73%
44	0.12%	0.16%	0.09%	0.88%	1.07%	0.7%
43	0.11%	0.14%	0.08%	0.84%	1.01%	0.68%
42	0.1%	0.13%	0.07%	0.8%	0.95%	0.65%
41	0.09%	0.12%	0.07%	0.76%	0.9%	0.63%
40	0.09%	0.11%	0.06%	0.73%	0.86%	0.6%
39	0.08%	0.1%	0.06%	0.69%	0.82%	0.57%
38	0.07%	0.09%	0.05%	0.66%	0.78%	0.54%
37	0.07%	0.08%	0.05%	0.63%	0.74%	0.51%
36	0.06%	0.08%	0.04%	0.6%	0.71%	0.49%
35	0.06%	0.07%	0.04%	0.57%	0.67%	0.46%
34	0.05%	0.07%	0.04%	0.54%	0.64%	0.44%
33	0.05%	0.06%	0.03%	0.51%	0.61%	0.42%
32	0.05%	0.06%	0.03%	0.49%	0.58%	0.4%
31	0.04%	0.05%	0.03%	0.46%	0.55%	0.38%
30	0.04%	0.05%	0.03%	0.44%	0.52%	0.36%
29	0.04%	0.05%	0.02%	0.41%	0.5%	0.33%
28	0.03%	0.04%	0.02%	0.39%	0.47%	0.31%
27	0.03%	0.04%	0.02%	0.36%	0.44%	0.28%
26	0.03%	0.04%	0.02%	0.33%	0.41%	0.25%
25	0.03%	0.04%	0.02%	0.3%	0.38%	0.23%
24	0.03%	0.04%	0.02%	0.28%	0.35%	0.2%
23	0.03%	0.04%	0.02%	0.25%	0.32%	0.18%
22	0.03%	0.04%	0.01%	0.23%	0.29%	0.17%
21	0.03%	0.04%	0.01%	0.21%	0.26%	0.15%
20	0.03%	0.04%	0.02%	0.19%	0.23%	0.14%
19	0.03%	0.03%	0.02%	0.16%	0.2%	0.13%
18	0.02%	0.03%	0.01%	0.14%	0.18%	0.11%
17	0.02%	0.03%	0.01%	0.12%	0.15%	0.1%
16	0.02%	0.02%	0.01%	0.11%	0.12%	0.09%
15	0.01%	0.01%	0.01%	0.09%	0.1%	0.07%
14	0.009%	0.01%	0.009%	0.07%	0.09%	0.06%
13	0.008%	0.008%	0.008%	0.06%	0.07%	0.05%
12	0.007%	0.007%	0.007%	0.05%	0.06%	0.04%
11	0.006%	0.006%	0.006%	0.04%	0.05%	0.04%
10	0.006%	0.006%	0.005%	0.04%	0.05%	0.03%
9	0.006%	0.006%	0.005%	0.04%	0.05%	0.03%
8	0.006%	0.007%	0.005%	0.04%	0.05%	0.03%
7	0.006%	0.007%	0.005%	0.04%	0.05%	0.04%
6	0.007%	0.008%	0.006%	0.05%	0.06%	0.04%
5	0.008%	0.008%	0.007%	0.07%	0.08%	0.06%
4	0.008%	0.009%	0.008%	0.1%	0.11%	0.08%
3	0.009%	0.009%	0.008%	0.15%	0.17%	0.12%
2	0.01%	0.01%	0.009%	0.22%	0.25%	0.2%
1	0.03%	0.03%	0.02%	0.35%	0.38%	0.32%
0	0.26%	0.28%	0.24%	2.19%	2.44%	1.93%

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

The annual chance of dying is 0.26% in the birth year in Germany and 2.19% in South Africa, 0.04% vs 0.44% at age 30, 0.69% vs 2.08% at 60, and 4.06% vs 6.96% at 80.

Death rate by age in Germany vs South Africa

Chart Table

Germany

Male

Female

South Africa

Male

Female

1x

Age	Death rate
	Germany			South Africa
	Total	Male	Female	Total	Male	Female
100	411	149.7	645	359	204.6	501
99	874	530	1,197	475	280.8	655
98	1,217	768	1,642	572	340	787
97	1,623	1,066	2,155	677	406	928
96	2,070	1,421	2,698	789	478	1,077
95	2,537	1,824	3,236	909	558	1,236
94	3,012	2,264	3,756	1,031	642	1,393
93	3,456	2,699	4,218	1,148	729	1,540
92	3,843	3,091	4,602	1,257	818	1,670
91	4,141	3,427	4,868	1,363	912	1,794
90	4,341	3,710	4,988	1,476	1,014	1,924
89	4,447	3,930	4,984	1,585	1,118	2,045
88	4,458	4,061	4,878	1,686	1,220	2,150
87	4,390	4,114	4,689	1,775	1,315	2,238
86	4,248	4,095	4,424	1,845	1,397	2,299
85	4,039	3,995	4,101	1,897	1,467	2,335
84	3,788	3,836	3,753	1,937	1,530	2,353
83	3,517	3,640	3,402	1,972	1,591	2,363
82	3,238	3,424	3,062	2,008	1,656	2,371
81	2,964	3,202	2,740	2,052	1,732	2,383
80	2,702	2,979	2,436	2,102	1,819	2,399
79	2,452	2,760	2,150	2,156	1,914	2,411
78	2,230	2,560	1,904	2,202	2,006	2,410
77	2,048	2,391	1,710	2,228	2,080	2,386
76	1,900	2,250	1,561	2,228	2,126	2,335
75	1,777	2,125	1,442	2,204	2,144	2,262
74	1,662	2,004	1,335	2,161	2,141	2,176
73	1,560	1,893	1,240	2,112	2,132	2,089
72	1,471	1,797	1,157	2,066	2,123	2,008
71	1,389	1,705	1,078	2,028	2,121	1,936
70	1,300	1,607	995	1,997	2,124	1,871
69	1,217	1,514	916	1,966	2,128	1,807
68	1,142	1,432	848	1,929	2,124	1,740
67	1,075	1,357	788	1,882	2,108	1,667
66	1,007	1,280	730	1,822	2,074	1,585
65	943	1,205	676	1,752	2,025	1,500
64	884	1,135	627	1,679	1,965	1,415
63	821	1,055	579	1,606	1,901	1,337
62	757	972	534	1,540	1,839	1,269
61	699	895	495	1,482	1,782	1,211
60	642	821	457	1,431	1,730	1,162
59	587	753	416	1,384	1,679	1,116
58	535	687	378	1,339	1,629	1,072
57	487	623	346	1,292	1,575	1,026
56	441	563	316	1,242	1,519	978
55	398	508	285.7	1,190	1,459	929
54	358	456	256.9	1,137	1,397	881
53	320	407	231.5	1,085	1,337	835
52	284.9	360	208.4	1,037	1,279	795
51	254.5	320	188	994	1,223	760
50	229.5	287.6	170.4	954	1,171	731
49	207	259.3	153.8	918	1,120	707
48	185.3	232.3	137.5	883	1,071	686
47	165.7	208.4	122.3	850	1,022	668
46	149.1	188.7	108.9	818	974	652
45	134.2	170.5	97.3	786	928	635
44	120.3	152.3	87.5	755	884	619
43	108.4	137.1	78.7	724	842	601
42	99.4	126.7	71	695	804	581
41	91.5	117.1	64.6	667	770	560
40	84.2	107.7	59.5	639	738	538
39	76.9	97.9	54.6	613	708	515
38	70.3	89.5	49.8	587	680	492
37	64.7	83.1	44.9	562	653	470
36	59.4	77	40.6	538	626	449
35	55	71.1	37.8	515	600	429
34	51	65.8	35.2	493	575	410
33	47.6	61.9	32.2	471	551	392
32	44.7	58.3	30	450	527	374
31	42	54	28.8	429	504	355
30	38.5	49.5	26.4	408	481	335
29	34.9	45.3	23.4	386	458	314
28	32.1	42.4	20.8	363	434	291.3
27	30	40.3	18.5	339	410	266.7
26	28.6	39.3	16.8	314	384	241.5
25	27.6	38.6	15.7	289.1	358	217.1
24	26.9	37.6	15.2	264.7	331	195.1
23	26.2	36.7	15	241.4	304	176
22	25.7	36.2	14.6	219.2	276.6	159.6
21	25.6	36	14.7	198.1	249	145.6
20	26.1	36	15.5	177.8	221.4	133.1
19	25.3	34.6	15.4	158	194.2	121.2
18	22.9	30.7	14.5	138.5	167.7	108.8
17	19.5	25.1	13.6	119.5	142.6	96
16	15.5	18.8	12.1	101.4	119.6	82.9
15	12	13.8	10.2	85	99.4	70.2
14	9.35	10.1	8.53	70.7	82.4	58.8
13	7.7	7.78	7.61	58.9	68.7	49
12	6.7	6.53	6.87	49.7	58.1	41.1
11	6.08	6.17	5.99	43	50.5	35.3
10	5.74	6.23	5.22	38.7	45.8	31.6
9	5.49	6.23	4.71	37	43.9	30
8	5.54	6.48	4.56	37.9	45.2	30.6
7	5.96	6.94	4.91	42.2	50.2	34.1
6	6.74	7.49	5.95	51.2	60.6	41.7
5	7.69	8.09	7.28	67.2	79	55.4
4	8.4	8.73	8.05	95.3	110.3	80
3	8.73	9.26	8.17	141.9	161.3	121.7
2	10.1	11	9.22	218.6	243.8	192.5
1	27.4	29.9	24.7	343	375	310
0	263.3	281	244.7	2,192	2,441	1,934

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 Germany, the most common age of death is 88, compared to 77 in South Africa. The median age of death is 85.1 in Germany and 70.8 in South Africa, 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 Germany and South Africa more than their death rates.

Life expectancy in other countries

+ -

1x