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

Life expectancy by current age

Chart Table

Germany

Male

Female

South Sudan

Male

Female

1x

Current age, years	Total life expectancy, years
	Germany			South Sudan
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	101.7	101.6	101.8
99	101	100.9	101.1	100.7	100.6	100.8
98	100.2	100.1	100.2	99.8	99.6	99.9
97	99.4	99.2	99.4	98.9	98.7	99
96	98.6	98.4	98.6	98.1	97.8	98.1
95	97.8	97.6	97.9	97.2	96.9	97.3
94	97	96.8	97.1	96.3	96	96.4
93	96.3	96	96.4	95.5	95.1	95.6
92	95.6	95.3	95.7	94.7	94.2	94.8
91	94.9	94.5	95	93.8	93.4	94
90	94.2	93.9	94.4	93	92.6	93.2
89	93.6	93.2	93.8	92.2	91.8	92.4
88	93	92.5	93.2	91.4	91	91.6
87	92.4	91.9	92.7	90.6	90.2	90.8
86	91.9	91.3	92.2	89.9	89.4	90.1
85	91.3	90.8	91.7	89.1	88.7	89.4
84	90.9	90.3	91.3	88.4	87.9	88.6
83	90.4	89.8	90.9	87.7	87.2	87.9
82	90	89.3	90.5	87	86.5	87.2
81	89.6	88.8	90.2	86.3	85.8	86.6
80	89.2	88.4	89.8	85.6	85.1	85.9
79	88.9	88	89.6	85	84.5	85.3
78	88.6	87.6	89.3	84.4	83.8	84.7
77	88.2	87.3	89	83.8	83.2	84.2
76	88	86.9	88.8	83.2	82.6	83.6
75	87.7	86.6	88.6	82.6	82	83.1
74	87.4	86.3	88.3	82.1	81.5	82.6
73	87.1	85.9	88.1	81.6	80.9	82.1
72	86.9	85.6	87.9	81.1	80.4	81.6
71	86.6	85.3	87.7	80.6	79.8	81.1
70	86.3	85	87.5	80.1	79.3	80.7
69	86.1	84.7	87.3	79.7	78.9	80.2
68	85.9	84.4	87.2	79.2	78.4	79.8
67	85.6	84.2	87	78.8	77.9	79.5
66	85.4	83.9	86.8	78.4	77.5	79.1
65	85.2	83.7	86.7	78	77.1	78.7
64	85	83.4	86.5	77.6	76.7	78.4
63	84.8	83.2	86.4	77.3	76.3	78.1
62	84.6	82.9	86.2	76.9	75.9	77.8
61	84.5	82.7	86.1	76.6	75.5	77.5
60	84.3	82.5	86	76.3	75.1	77.2
59	84.1	82.3	85.9	76	74.8	76.9
58	84	82.2	85.8	75.7	74.5	76.7
57	83.9	82	85.7	75.4	74.1	76.4
56	83.7	81.9	85.6	75.1	73.8	76.2
55	83.6	81.7	85.5	74.8	73.5	76
54	83.5	81.6	85.4	74.5	73.2	75.7
53	83.4	81.5	85.3	74.3	72.9	75.5
52	83.3	81.4	85.3	74	72.6	75.3
51	83.2	81.3	85.2	73.8	72.3	75.1
50	83.2	81.2	85.1	73.5	72	74.8
49	83.1	81.1	85.1	73.3	71.7	74.6
48	83	81	85	73	71.4	74.4
47	83	80.9	85	72.8	71.2	74.3
46	82.9	80.9	84.9	72.6	70.9	74.1
45	82.9	80.8	84.9	72.4	70.6	73.9
44	82.8	80.7	84.9	72.1	70.4	73.7
43	82.8	80.7	84.8	71.9	70.1	73.5
42	82.7	80.6	84.8	71.7	69.9	73.3
41	82.7	80.6	84.8	71.5	69.6	73.1
40	82.7	80.6	84.7	71.2	69.4	72.9
39	82.6	80.5	84.7	71	69.1	72.7
38	82.6	80.5	84.7	70.8	68.9	72.5
37	82.6	80.4	84.7	70.6	68.6	72.4
36	82.5	80.4	84.6	70.4	68.4	72.2
35	82.5	80.4	84.6	70.2	68.2	72
34	82.5	80.3	84.6	70	67.9	71.8
33	82.5	80.3	84.6	69.8	67.7	71.7
32	82.4	80.3	84.6	69.5	67.4	71.5
31	82.4	80.3	84.6	69.3	67.2	71.3
30	82.4	80.2	84.5	69.1	67	71.1
29	82.4	80.2	84.5	68.9	66.7	71
28	82.4	80.2	84.5	68.7	66.5	70.8
27	82.3	80.2	84.5	68.5	66.2	70.6
26	82.3	80.1	84.5	68.3	65.9	70.4
25	82.3	80.1	84.5	68	65.7	70.3
24	82.3	80.1	84.5	67.8	65.4	70.1
23	82.3	80.1	84.5	67.6	65.1	70
22	82.3	80.1	84.5	67.4	64.9	69.8
21	82.2	80	84.5	67.2	64.6	69.6
20	82.2	80	84.4	67	64.4	69.5
19	82.2	80	84.4	66.8	64.1	69.3
18	82.2	80	84.4	66.6	63.9	69.2
17	82.2	80	84.4	66.4	63.7	69
16	82.2	80	84.4	66.3	63.5	68.9
15	82.2	79.9	84.4	66.1	63.4	68.8
14	82.2	79.9	84.4	66	63.2	68.7
13	82.2	79.9	84.4	65.8	63.1	68.5
12	82.2	79.9	84.4	65.7	62.9	68.4
11	82.2	79.9	84.4	65.5	62.8	68.3
10	82.1	79.9	84.4	65.4	62.6	68.2
9	82.1	79.9	84.4	65.2	62.4	68
8	82.1	79.9	84.4	65	62.1	67.8
7	82.1	79.9	84.4	64.7	61.8	67.6
6	82.1	79.9	84.4	64.4	61.5	67.3
5	82.1	79.9	84.4	64	61.1	67
4	82.1	79.9	84.4	63.6	60.6	66.6
3	82.1	79.9	84.3	63.1	60.1	66.1
2	82.1	79.9	84.3	62.5	59.5	65.5
1	82.1	79.8	84.3	61.8	58.9	64.7
0	81.9	79.6	84.1	58	55	61

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 69.1 in South Sudan, rising to 85.2 and 78 at 65, and to 89.2 and 85.6 at 80 — higher than the 81.9 and 58 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Germany

Male

Female

South Sudan

Male

Female

1x

Age	Survival probability
	Germany			South Sudan
	Average	Male	Female	Average	Male	Female
100	1.57%	0.87%	2.2%	0.06%	0.02%	0.1%
99	2.44%	1.4%	3.4%	0.1%	0.03%	0.17%
98	3.66%	2.17%	5.04%	0.17%	0.05%	0.28%
97	5.28%	3.24%	7.19%	0.27%	0.1%	0.44%
96	7.35%	4.66%	9.89%	0.43%	0.16%	0.67%
95	9.89%	6.48%	13.1%	0.64%	0.27%	1%
94	12.9%	8.74%	16.9%	0.94%	0.44%	1.44%
93	16.4%	11.4%	21.1%	1.35%	0.67%	2.01%
92	20.2%	14.5%	25.7%	1.87%	1%	2.73%
91	24.3%	18%	30.6%	2.54%	1.45%	3.62%
90	28.7%	21.7%	35.6%	3.37%	2.03%	4.7%
89	33.1%	25.6%	40.5%	4.38%	2.76%	5.98%
88	37.6%	29.7%	45.4%	5.58%	3.65%	7.47%
87	42%	33.8%	50.1%	6.96%	4.7%	9.18%
86	46.2%	37.9%	54.5%	8.54%	5.92%	11.1%
85	50.3%	41.9%	58.6%	10.3%	7.31%	13.2%
84	54%	45.7%	62.4%	12.3%	8.88%	15.6%
83	57.6%	49.3%	65.8%	14.4%	10.6%	18%
82	60.8%	52.8%	68.9%	16.6%	12.5%	20.6%
81	63.8%	56%	71.6%	18.9%	14.5%	23.3%
80	66.5%	58.9%	74%	21.3%	16.6%	26.1%
79	68.9%	61.7%	76.2%	23.8%	18.8%	28.8%
78	71.2%	64.3%	78.1%	26.3%	21%	31.6%
77	73.2%	66.7%	79.8%	28.8%	23.3%	34.3%
76	75.1%	68.9%	81.4%	31.3%	25.6%	36.9%
75	76.9%	71%	82.8%	33.7%	27.9%	39.6%
74	78.5%	73%	84.1%	36.2%	30.2%	42.1%
73	80.1%	74.9%	85.4%	38.5%	32.5%	44.6%
72	81.6%	76.7%	86.5%	40.8%	34.7%	46.9%
71	83%	78.4%	87.6%	43%	36.9%	49.2%
70	84.3%	80%	88.6%	45.1%	39%	51.3%
69	85.5%	81.6%	89.5%	47.1%	41%	53.3%
68	86.6%	83%	90.4%	49.1%	42.9%	55.2%
67	87.7%	84.3%	91.2%	50.9%	44.8%	57%
66	88.7%	85.6%	91.9%	52.6%	46.6%	58.7%
65	89.6%	86.8%	92.6%	54.2%	48.3%	60.2%
64	90.5%	88%	93.2%	55.8%	49.9%	61.7%
63	91.3%	89%	93.8%	57.3%	51.5%	63.1%
62	92.1%	90%	94.3%	58.6%	53%	64.3%
61	92.8%	90.9%	94.8%	59.9%	54.4%	65.5%
60	93.4%	91.7%	95.2%	61.1%	55.7%	66.6%
59	94%	92.5%	95.7%	62.3%	57%	67.6%
58	94.6%	93.1%	96%	63.3%	58.2%	68.6%
57	95.1%	93.8%	96.4%	64.4%	59.3%	69.5%
56	95.5%	94.3%	96.7%	65.3%	60.4%	70.3%
55	95.9%	94.8%	97%	66.3%	61.5%	71.1%
54	96.3%	95.3%	97.2%	67.2%	62.5%	71.9%
53	96.6%	95.7%	97.5%	68%	63.5%	72.7%
52	96.9%	96.1%	97.7%	68.9%	64.5%	73.4%
51	97.1%	96.4%	97.9%	69.7%	65.4%	74%
50	97.3%	96.7%	98%	70.4%	66.3%	74.7%
49	97.5%	96.9%	98.2%	71.1%	67.1%	75.3%
48	97.7%	97.2%	98.3%	71.8%	67.9%	75.8%
47	97.9%	97.4%	98.5%	72.5%	68.6%	76.4%
46	98%	97.6%	98.6%	73.1%	69.4%	76.9%
45	98.2%	97.7%	98.7%	73.7%	70.1%	77.4%
44	98.3%	97.9%	98.8%	74.3%	70.8%	77.9%
43	98.4%	98%	98.8%	74.9%	71.5%	78.4%
42	98.5%	98.1%	98.9%	75.5%	72.1%	78.9%
41	98.6%	98.3%	99%	76.1%	72.8%	79.4%
40	98.7%	98.4%	99%	76.6%	73.4%	79.9%
39	98.8%	98.5%	99.1%	77.1%	74%	80.3%
38	98.8%	98.6%	99.1%	77.6%	74.6%	80.8%
37	98.9%	98.6%	99.2%	78.1%	75.2%	81.2%
36	99%	98.7%	99.2%	78.6%	75.8%	81.6%
35	99%	98.8%	99.3%	79.1%	76.3%	82%
34	99.1%	98.9%	99.3%	79.6%	76.9%	82.4%
33	99.1%	98.9%	99.3%	80%	77.4%	82.7%
32	99.2%	99%	99.4%	80.5%	77.9%	83.1%
31	99.2%	99%	99.4%	80.9%	78.5%	83.5%
30	99.2%	99.1%	99.4%	81.4%	79%	83.8%
29	99.3%	99.1%	99.4%	81.8%	79.5%	84.2%
28	99.3%	99.2%	99.5%	82.2%	80.1%	84.5%
27	99.3%	99.2%	99.5%	82.7%	80.6%	84.9%
26	99.4%	99.2%	99.5%	83.1%	81.1%	85.2%
25	99.4%	99.3%	99.5%	83.5%	81.6%	85.5%
24	99.4%	99.3%	99.5%	84%	82.2%	85.8%
23	99.4%	99.4%	99.5%	84.4%	82.7%	86.1%
22	99.5%	99.4%	99.5%	84.8%	83.2%	86.4%
21	99.5%	99.4%	99.6%	85.2%	83.7%	86.7%
20	99.5%	99.5%	99.6%	85.6%	84.2%	87%
19	99.5%	99.5%	99.6%	85.9%	84.7%	87.2%
18	99.6%	99.5%	99.6%	86.2%	85.1%	87.5%
17	99.6%	99.6%	99.6%	86.5%	85.4%	87.7%
16	99.6%	99.6%	99.6%	86.8%	85.7%	87.9%
15	99.6%	99.6%	99.6%	87.1%	86%	88.2%
14	99.6%	99.6%	99.7%	87.3%	86.3%	88.4%
13	99.6%	99.6%	99.7%	87.5%	86.6%	88.5%
12	99.6%	99.6%	99.7%	87.8%	86.8%	88.7%
11	99.6%	99.6%	99.7%	88%	87.1%	88.9%
10	99.7%	99.6%	99.7%	88.3%	87.4%	89.1%
9	99.7%	99.6%	99.7%	88.6%	87.8%	89.4%
8	99.7%	99.6%	99.7%	88.9%	88.2%	89.7%
7	99.7%	99.6%	99.7%	89.3%	88.6%	90%
6	99.7%	99.7%	99.7%	89.8%	89.2%	90.4%
5	99.7%	99.7%	99.7%	90.3%	89.8%	90.9%
4	99.7%	99.7%	99.7%	91%	90.6%	91.5%
3	99.7%	99.7%	99.7%	91.8%	91.4%	92.2%
2	99.7%	99.7%	99.7%	92.7%	92.3%	93.1%
1	99.7%	99.7%	99.8%	93.8%	93.3%	94.2%

This chart shows the odds of living to each age from birth. 93.4% of newborns in Germany and 61.1% in South Sudan are expected to live past 60, 84.3% and 45.1% past 70, 66.5% and 21.3% past 80, and only 28.7% and 3.37% 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 Sudan

Male

Female

1x

Age	Probability of dying
	Germany			South Sudan
	Average	Male	Female	Average	Male	Female
100	38.4%	40.3%	37.9%	45.7%	49.1%	43.1%
99	35.8%	37.9%	35.2%	43.7%	47.1%	41%
98	33.3%	35.4%	32.6%	40.5%	45.5%	39.1%
97	30.7%	32.9%	30%	37.7%	43.8%	37.1%
96	28.2%	30.5%	27.3%	35.6%	41.9%	35%
95	25.7%	28.2%	24.7%	33.8%	39.8%	32.8%
94	23.3%	25.9%	22.2%	31.9%	37.5%	30.6%
93	21.1%	23.6%	20%	30%	35.2%	28.4%
92	19%	21.3%	17.9%	28.1%	33%	26.4%
91	17%	19.1%	15.9%	26.3%	30.8%	24.6%
90	15.1%	17.1%	14%	24.6%	28.6%	22.9%
89	13.4%	15.4%	12.3%	23%	26.4%	21.4%
88	11.9%	13.7%	10.7%	21.4%	24.3%	20%
87	10.5%	12.2%	9.36%	19.9%	22.4%	18.6%
86	9.19%	10.8%	8.11%	18.5%	20.6%	17.4%
85	8.04%	9.54%	6.99%	17.1%	19%	16.1%
84	7.01%	8.39%	6.01%	15.9%	17.6%	14.9%
83	6.11%	7.38%	5.17%	14.6%	16.3%	13.7%
82	5.32%	6.49%	4.45%	13.5%	15%	12.6%
81	4.65%	5.72%	3.83%	12.4%	13.8%	11.5%
80	4.06%	5.05%	3.29%	11.3%	12.7%	10.5%
79	3.56%	4.47%	2.82%	10.4%	11.7%	9.54%
78	3.13%	3.98%	2.44%	9.47%	10.7%	8.69%
77	2.8%	3.59%	2.14%	8.67%	9.8%	7.92%
76	2.53%	3.26%	1.92%	7.94%	9%	7.23%
75	2.31%	2.99%	1.74%	7.29%	8.28%	6.61%
74	2.12%	2.74%	1.59%	6.69%	7.61%	6.05%
73	1.95%	2.53%	1.45%	6.14%	6.99%	5.52%
72	1.8%	2.34%	1.34%	5.62%	6.41%	5.03%
71	1.67%	2.17%	1.23%	5.13%	5.87%	4.58%
70	1.54%	2.01%	1.12%	4.68%	5.37%	4.16%
69	1.42%	1.86%	1.02%	4.26%	4.91%	3.77%
68	1.32%	1.73%	0.94%	3.9%	4.5%	3.43%
67	1.23%	1.61%	0.86%	3.57%	4.14%	3.12%
66	1.14%	1.49%	0.79%	3.28%	3.83%	2.84%
65	1.05%	1.39%	0.73%	3.02%	3.54%	2.6%
64	0.98%	1.29%	0.67%	2.78%	3.28%	2.37%
63	0.9%	1.19%	0.62%	2.56%	3.04%	2.17%
62	0.82%	1.08%	0.57%	2.35%	2.81%	1.97%
61	0.75%	0.98%	0.52%	2.16%	2.59%	1.8%
60	0.69%	0.89%	0.48%	1.98%	2.39%	1.64%
59	0.62%	0.81%	0.44%	1.82%	2.21%	1.5%
58	0.57%	0.74%	0.39%	1.69%	2.06%	1.39%
57	0.51%	0.66%	0.36%	1.58%	1.93%	1.29%
56	0.46%	0.6%	0.33%	1.49%	1.82%	1.21%
55	0.42%	0.54%	0.29%	1.42%	1.73%	1.15%
54	0.37%	0.48%	0.26%	1.35%	1.65%	1.09%
53	0.33%	0.43%	0.24%	1.28%	1.57%	1.03%
52	0.29%	0.38%	0.21%	1.21%	1.49%	0.97%
51	0.26%	0.33%	0.19%	1.14%	1.41%	0.91%
50	0.24%	0.3%	0.17%	1.07%	1.32%	0.85%
49	0.21%	0.27%	0.16%	1%	1.24%	0.79%
48	0.19%	0.24%	0.14%	0.95%	1.17%	0.75%
47	0.17%	0.21%	0.12%	0.9%	1.11%	0.71%
46	0.15%	0.19%	0.11%	0.86%	1.06%	0.69%
45	0.14%	0.17%	0.1%	0.84%	1.02%	0.67%
44	0.12%	0.16%	0.09%	0.81%	0.99%	0.66%
43	0.11%	0.14%	0.08%	0.79%	0.96%	0.64%
42	0.1%	0.13%	0.07%	0.77%	0.92%	0.63%
41	0.09%	0.12%	0.07%	0.74%	0.89%	0.61%
40	0.09%	0.11%	0.06%	0.71%	0.85%	0.58%
39	0.08%	0.1%	0.06%	0.68%	0.82%	0.56%
38	0.07%	0.09%	0.05%	0.65%	0.79%	0.53%
37	0.07%	0.08%	0.05%	0.63%	0.76%	0.51%
36	0.06%	0.08%	0.04%	0.61%	0.74%	0.49%
35	0.06%	0.07%	0.04%	0.6%	0.73%	0.48%
34	0.05%	0.07%	0.04%	0.59%	0.71%	0.47%
33	0.05%	0.06%	0.03%	0.58%	0.7%	0.46%
32	0.05%	0.06%	0.03%	0.57%	0.69%	0.45%
31	0.04%	0.05%	0.03%	0.56%	0.68%	0.44%
30	0.04%	0.05%	0.03%	0.55%	0.67%	0.43%
29	0.04%	0.05%	0.02%	0.54%	0.66%	0.42%
28	0.03%	0.04%	0.02%	0.53%	0.65%	0.41%
27	0.03%	0.04%	0.02%	0.52%	0.65%	0.39%
26	0.03%	0.04%	0.02%	0.52%	0.65%	0.38%
25	0.03%	0.04%	0.02%	0.51%	0.65%	0.37%
24	0.03%	0.04%	0.02%	0.51%	0.65%	0.36%
23	0.03%	0.04%	0.02%	0.5%	0.65%	0.35%
22	0.03%	0.04%	0.01%	0.49%	0.63%	0.34%
21	0.03%	0.04%	0.01%	0.47%	0.61%	0.33%
20	0.03%	0.04%	0.02%	0.44%	0.57%	0.32%
19	0.03%	0.03%	0.02%	0.41%	0.52%	0.3%
18	0.02%	0.03%	0.01%	0.38%	0.47%	0.29%
17	0.02%	0.03%	0.01%	0.35%	0.42%	0.27%
16	0.02%	0.02%	0.01%	0.32%	0.37%	0.26%
15	0.01%	0.01%	0.01%	0.29%	0.34%	0.24%
14	0.009%	0.01%	0.009%	0.27%	0.31%	0.22%
13	0.008%	0.008%	0.008%	0.26%	0.3%	0.22%
12	0.007%	0.007%	0.007%	0.26%	0.3%	0.22%
11	0.006%	0.006%	0.006%	0.27%	0.32%	0.22%
10	0.006%	0.006%	0.005%	0.3%	0.35%	0.24%
9	0.006%	0.006%	0.005%	0.34%	0.4%	0.27%
8	0.006%	0.007%	0.005%	0.39%	0.47%	0.31%
7	0.006%	0.007%	0.005%	0.45%	0.54%	0.36%
6	0.007%	0.008%	0.006%	0.53%	0.63%	0.43%
5	0.008%	0.008%	0.007%	0.62%	0.71%	0.53%
4	0.008%	0.009%	0.008%	0.73%	0.8%	0.65%
3	0.009%	0.009%	0.008%	0.85%	0.9%	0.8%
2	0.01%	0.01%	0.009%	0.99%	0.99%	0.98%
1	0.03%	0.03%	0.02%	1.16%	1.1%	1.22%
0	0.26%	0.28%	0.24%	6.22%	6.67%	5.75%

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

The annual chance of dying is 0.26% in the birth year in Germany and 6.22% in South Sudan, 0.04% vs 0.55% at age 30, 0.69% vs 1.98% at 60, and 4.06% vs 11.3% at 80.

Death rate by age in Germany vs South Sudan

Chart Table

Germany

Male

Female

South Sudan

Male

Female

1x

Age	Death rate
	Germany			South Sudan
	Total	Male	Female	Total	Male	Female
100	411	149.7	645	0	0	0
99	874	530	1,197	44.4	13.7	68.6
98	1,217	768	1,642	69.1	24.4	107.5
97	1,623	1,066	2,155	103.4	41.7	162.1
96	2,070	1,421	2,698	151.7	68.7	235
95	2,537	1,824	3,236	217.2	108.2	328
94	3,012	2,264	3,756	301	163.5	440
93	3,456	2,699	4,218	404	237	571
92	3,843	3,091	4,602	527	331	722
91	4,141	3,427	4,868	670	447	890
90	4,341	3,710	4,988	831	582	1,077
89	4,447	3,930	4,984	1,007	729	1,279
88	4,458	4,061	4,878	1,193	887	1,492
87	4,390	4,114	4,689	1,386	1,052	1,712
86	4,248	4,095	4,424	1,579	1,221	1,929
85	4,039	3,995	4,101	1,767	1,392	2,135
84	3,788	3,836	3,753	1,944	1,562	2,321
83	3,517	3,640	3,402	2,103	1,725	2,478
82	3,238	3,424	3,062	2,237	1,874	2,600
81	2,964	3,202	2,740	2,342	2,003	2,685
80	2,702	2,979	2,436	2,417	2,108	2,734
79	2,452	2,760	2,150	2,465	2,188	2,750
78	2,230	2,560	1,904	2,490	2,246	2,742
77	2,048	2,391	1,710	2,497	2,284	2,714
76	1,900	2,250	1,561	2,485	2,305	2,672
75	1,777	2,125	1,442	2,459	2,311	2,615
74	1,662	2,004	1,335	2,419	2,300	2,546
73	1,560	1,893	1,240	2,364	2,272	2,461
72	1,471	1,797	1,157	2,292	2,226	2,363
71	1,389	1,705	1,078	2,207	2,164	2,252
70	1,300	1,607	995	2,111	2,091	2,133
69	1,217	1,514	916	2,011	2,013	2,011
68	1,142	1,432	848	1,911	1,933	1,891
67	1,075	1,357	788	1,815	1,855	1,777
66	1,007	1,280	730	1,724	1,782	1,668
65	943	1,205	676	1,636	1,710	1,565
64	884	1,135	627	1,551	1,639	1,464
63	821	1,055	579	1,465	1,565	1,366
62	757	972	534	1,378	1,488	1,270
61	699	895	495	1,292	1,409	1,178
60	642	821	457	1,210	1,332	1,092
59	587	753	416	1,136	1,260	1,015
58	535	687	378	1,072	1,197	950
57	487	623	346	1,018	1,145	896
56	441	563	316	976	1,102	853
55	398	508	285.7	939	1,066	816
54	358	456	256.9	906	1,033	782
53	320	407	231.5	872	999	748
52	284.9	360	208.4	835	961	711
51	254.5	320	188	795	919	672
50	229.5	287.6	170.4	753	875	633
49	207	259.3	153.8	713	832	596
48	185.3	232.3	137.5	679	794	566
47	165.7	208.4	122.3	651	762	543
46	149.1	188.7	108.9	631	737	528
45	134.2	170.5	97.3	616	717	519
44	120.3	152.3	87.5	604	700	512
43	108.4	137.1	78.7	593	685	506
42	99.4	126.7	71	580	667	496
41	91.5	117.1	64.6	564	648	483
40	84.2	107.7	59.5	545	628	467
39	76.9	97.9	54.6	526	608	449
38	70.3	89.5	49.8	508	590	431
37	64.7	83.1	44.9	493	575	415
36	59.4	77	40.6	481	563	402
35	55	71.1	37.8	473	555	392
34	51	65.8	35.2	466	549	384
33	47.6	61.9	32.2	461	544	377
32	44.7	58.3	30	456	538	372
31	42	54	28.8	451	533	366
30	38.5	49.5	26.4	446	527	359
29	34.9	45.3	23.4	440	523	352
28	32.1	42.4	20.8	436	522	344
27	30	40.3	18.5	432	523	335
26	28.6	39.3	16.8	429	527	325
25	27.6	38.6	15.7	427	532	316
24	26.9	37.6	15.2	424	536	307
23	26.2	36.7	15	420	535	298.4
22	25.7	36.2	14.6	412	527	290.7
21	25.6	36	14.7	398	508	283.3
20	26.1	36	15.5	379	478	275.1
19	25.3	34.6	15.4	354	439	265.4
18	22.9	30.7	14.5	327	397	253.5
17	19.5	25.1	13.6	299.3	357	239.3
16	15.5	18.8	12.1	273.6	321	224.4
15	12	13.8	10.2	251.3	290.8	210.1
14	9.35	10.1	8.53	235.1	270	198.7
13	7.7	7.78	7.61	226.8	260.1	192
12	6.7	6.53	6.87	227.9	262.8	191.3
11	6.08	6.17	5.99	239.4	279	198.2
10	5.74	6.23	5.22	262	309	213.5
9	5.49	6.23	4.71	296.8	353	238.8
8	5.54	6.48	4.56	344	411	275.7
7	5.96	6.94	4.91	404	480	326
6	6.74	7.49	5.95	477	558	393
5	7.69	8.09	7.28	561	641	479
4	8.4	8.73	8.05	660	727	591
3	8.73	9.26	8.17	776	818	733
2	10.1	11	9.22	915	916	915
1	27.4	29.9	24.7	1,086	1,027	1,147
0	263.3	281	244.7	6,215	6,667	5,754

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 0 in South Sudan. The median age of death is 85.1 in Germany and 67.5 in South Sudan, 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 Sudan more than their death rates.

Life expectancy in other countries

+ -

1x