Life Expectancy in Germany vs Sierra Leone (1950-2026)

Life expectancy by current age

Chart Table

Germany

Male

Female

Sierra Leone

Male

Female

1x

Current age, years	Total life expectancy, years
	Germany			Sierra Leone
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	101.8	101.7	101.8
99	101	100.9	101.1	100.9	100.8	100.9
98	100.2	100.1	100.2	99.9	99.8	100
97	99.4	99.2	99.4	99	98.9	99.1
96	98.6	98.4	98.6	98.1	98	98.2
95	97.8	97.6	97.9	97.2	97.1	97.3
94	97	96.8	97.1	96.4	96.2	96.4
93	96.3	96	96.4	95.5	95.3	95.6
92	95.6	95.3	95.7	94.6	94.5	94.7
91	94.9	94.5	95	93.8	93.6	93.9
90	94.2	93.9	94.4	93	92.8	93.1
89	93.6	93.2	93.8	92.1	91.9	92.2
88	93	92.5	93.2	91.3	91.1	91.4
87	92.4	91.9	92.7	90.5	90.3	90.6
86	91.9	91.3	92.2	89.7	89.5	89.9
85	91.3	90.8	91.7	88.9	88.7	89.1
84	90.9	90.3	91.3	88.2	87.9	88.4
83	90.4	89.8	90.9	87.5	87.2	87.6
82	90	89.3	90.5	86.7	86.5	86.9
81	89.6	88.8	90.2	86	85.8	86.2
80	89.2	88.4	89.8	85.4	85.1	85.6
79	88.9	88	89.6	84.7	84.4	84.9
78	88.6	87.6	89.3	84.1	83.8	84.3
77	88.2	87.3	89	83.5	83.1	83.7
76	88	86.9	88.8	82.9	82.5	83.1
75	87.7	86.6	88.6	82.3	81.9	82.6
74	87.4	86.3	88.3	81.7	81.3	82
73	87.1	85.9	88.1	81.2	80.8	81.5
72	86.9	85.6	87.9	80.7	80.2	81
71	86.6	85.3	87.7	80.2	79.7	80.6
70	86.3	85	87.5	79.7	79.2	80.1
69	86.1	84.7	87.3	79.3	78.7	79.7
68	85.9	84.4	87.2	78.8	78.3	79.3
67	85.6	84.2	87	78.4	77.8	79
66	85.4	83.9	86.8	78	77.4	78.6
65	85.2	83.7	86.7	77.7	77	78.3
64	85	83.4	86.5	77.3	76.6	77.9
63	84.8	83.2	86.4	77	76.2	77.6
62	84.6	82.9	86.2	76.6	75.8	77.3
61	84.5	82.7	86.1	76.3	75.5	77
60	84.3	82.5	86	76	75.2	76.8
59	84.1	82.3	85.9	75.7	74.9	76.5
58	84	82.2	85.8	75.5	74.6	76.3
57	83.9	82	85.7	75.2	74.3	76.1
56	83.7	81.9	85.6	75	74	75.8
55	83.6	81.7	85.5	74.7	73.7	75.6
54	83.5	81.6	85.4	74.5	73.5	75.4
53	83.4	81.5	85.3	74.3	73.3	75.2
52	83.3	81.4	85.3	74.1	73	75
51	83.2	81.3	85.2	73.9	72.8	74.8
50	83.2	81.2	85.1	73.7	72.6	74.7
49	83.1	81.1	85.1	73.5	72.4	74.5
48	83	81	85	73.3	72.2	74.3
47	83	80.9	85	73.1	72.1	74.2
46	82.9	80.9	84.9	73	71.9	74
45	82.9	80.8	84.9	72.8	71.7	73.9
44	82.8	80.7	84.9	72.7	71.6	73.7
43	82.8	80.7	84.8	72.5	71.4	73.6
42	82.7	80.6	84.8	72.4	71.3	73.4
41	82.7	80.6	84.8	72.3	71.1	73.3
40	82.7	80.6	84.7	72.1	71	73.2
39	82.6	80.5	84.7	72	70.9	73
38	82.6	80.5	84.7	71.9	70.8	72.9
37	82.6	80.4	84.7	71.8	70.7	72.8
36	82.5	80.4	84.6	71.6	70.5	72.7
35	82.5	80.4	84.6	71.5	70.4	72.6
34	82.5	80.3	84.6	71.4	70.3	72.5
33	82.5	80.3	84.6	71.3	70.2	72.4
32	82.4	80.3	84.6	71.2	70.1	72.3
31	82.4	80.3	84.6	71.1	70	72.2
30	82.4	80.2	84.5	71	69.9	72.1
29	82.4	80.2	84.5	70.9	69.8	72
28	82.4	80.2	84.5	70.8	69.7	71.9
27	82.3	80.2	84.5	70.7	69.6	71.8
26	82.3	80.1	84.5	70.6	69.4	71.7
25	82.3	80.1	84.5	70.5	69.3	71.6
24	82.3	80.1	84.5	70.4	69.2	71.5
23	82.3	80.1	84.5	70.3	69.1	71.4
22	82.3	80.1	84.5	70.2	68.9	71.3
21	82.2	80	84.5	70	68.8	71.3
20	82.2	80	84.4	69.9	68.7	71.2
19	82.2	80	84.4	69.8	68.6	71.1
18	82.2	80	84.4	69.7	68.4	71
17	82.2	80	84.4	69.6	68.3	70.9
16	82.2	80	84.4	69.5	68.2	70.9
15	82.2	79.9	84.4	69.5	68.1	70.8
14	82.2	79.9	84.4	69.4	68	70.7
13	82.2	79.9	84.4	69.3	68	70.7
12	82.2	79.9	84.4	69.3	67.9	70.6
11	82.2	79.9	84.4	69.2	67.8	70.5
10	82.1	79.9	84.4	69.1	67.8	70.5
9	82.1	79.9	84.4	69.1	67.7	70.4
8	82.1	79.9	84.4	69	67.6	70.4
7	82.1	79.9	84.4	68.9	67.5	70.3
6	82.1	79.9	84.4	68.8	67.4	70.2
5	82.1	79.9	84.4	68.6	67.2	70
4	82.1	79.9	84.4	68.5	67.1	69.9
3	82.1	79.9	84.3	68.3	66.9	69.7
2	82.1	79.9	84.3	67.8	66.4	69.2
1	82.1	79.8	84.3	66.9	65.4	68.3
0	81.9	79.6	84.1	62.3	60.6	64.1

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 71 in Sierra Leone, rising to 85.2 and 77.7 at 65, and to 89.2 and 85.4 at 80 — higher than the 81.9 and 62.3 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Germany

Male

Female

Sierra Leone

Male

Female

1x

Age	Survival probability
	Germany			Sierra Leone
	Average	Male	Female	Average	Male	Female
100	1.57%	0.87%	2.2%	0.06%	0.03%	0.08%
99	2.44%	1.4%	3.4%	0.1%	0.05%	0.14%
98	3.66%	2.17%	5.04%	0.16%	0.09%	0.22%
97	5.28%	3.24%	7.19%	0.25%	0.15%	0.35%
96	7.35%	4.66%	9.89%	0.39%	0.24%	0.54%
95	9.89%	6.48%	13.1%	0.59%	0.38%	0.81%
94	12.9%	8.74%	16.9%	0.87%	0.57%	1.17%
93	16.4%	11.4%	21.1%	1.25%	0.85%	1.66%
92	20.2%	14.5%	25.7%	1.75%	1.22%	2.29%
91	24.3%	18%	30.6%	2.4%	1.71%	3.09%
90	28.7%	21.7%	35.6%	3.22%	2.35%	4.08%
89	33.1%	25.6%	40.5%	4.24%	3.16%	5.3%
88	37.6%	29.7%	45.4%	5.48%	4.17%	6.76%
87	42%	33.8%	50.1%	6.95%	5.39%	8.47%
86	46.2%	37.9%	54.5%	8.66%	6.84%	10.4%
85	50.3%	41.9%	58.6%	10.6%	8.51%	12.7%
84	54%	45.7%	62.4%	12.8%	10.4%	15.1%
83	57.6%	49.3%	65.8%	15.1%	12.5%	17.7%
82	60.8%	52.8%	68.9%	17.7%	14.8%	20.5%
81	63.8%	56%	71.6%	20.4%	17.2%	23.5%
80	66.5%	58.9%	74%	23.2%	19.8%	26.6%
79	68.9%	61.7%	76.2%	26.1%	22.5%	29.7%
78	71.2%	64.3%	78.1%	29.1%	25.3%	32.9%
77	73.2%	66.7%	79.8%	32.1%	28.1%	36.1%
76	75.1%	68.9%	81.4%	35.2%	31%	39.2%
75	76.9%	71%	82.8%	38.2%	33.9%	42.4%
74	78.5%	73%	84.1%	41.2%	36.8%	45.4%
73	80.1%	74.9%	85.4%	44%	39.7%	48.3%
72	81.6%	76.7%	86.5%	46.8%	42.5%	51.1%
71	83%	78.4%	87.6%	49.4%	45.2%	53.7%
70	84.3%	80%	88.6%	52%	47.8%	56.1%
69	85.5%	81.6%	89.5%	54.3%	50.2%	58.4%
68	86.6%	83%	90.4%	56.6%	52.6%	60.5%
67	87.7%	84.3%	91.2%	58.7%	54.9%	62.5%
66	88.7%	85.6%	91.9%	60.7%	57%	64.3%
65	89.6%	86.8%	92.6%	62.5%	59%	66%
64	90.5%	88%	93.2%	64.3%	61%	67.6%
63	91.3%	89%	93.8%	65.9%	62.8%	69.1%
62	92.1%	90%	94.3%	67.5%	64.5%	70.5%
61	92.8%	90.9%	94.8%	68.9%	66.1%	71.8%
60	93.4%	91.7%	95.2%	70.2%	67.6%	72.9%
59	94%	92.5%	95.7%	71.5%	68.9%	74%
58	94.6%	93.1%	96%	72.6%	70.2%	75%
57	95.1%	93.8%	96.4%	73.7%	71.4%	75.9%
56	95.5%	94.3%	96.7%	74.6%	72.5%	76.8%
55	95.9%	94.8%	97%	75.6%	73.5%	77.6%
54	96.3%	95.3%	97.2%	76.4%	74.5%	78.4%
53	96.6%	95.7%	97.5%	77.2%	75.4%	79.1%
52	96.9%	96.1%	97.7%	78%	76.2%	79.8%
51	97.1%	96.4%	97.9%	78.7%	77%	80.4%
50	97.3%	96.7%	98%	79.3%	77.7%	81%
49	97.5%	96.9%	98.2%	79.9%	78.4%	81.6%
48	97.7%	97.2%	98.3%	80.5%	79%	82.1%
47	97.9%	97.4%	98.5%	81%	79.6%	82.6%
46	98%	97.6%	98.6%	81.5%	80.1%	83%
45	98.2%	97.7%	98.7%	82%	80.6%	83.5%
44	98.3%	97.9%	98.8%	82.4%	81%	83.9%
43	98.4%	98%	98.8%	82.9%	81.5%	84.3%
42	98.5%	98.1%	98.9%	83.2%	81.9%	84.6%
41	98.6%	98.3%	99%	83.6%	82.2%	85%
40	98.7%	98.4%	99%	84%	82.6%	85.3%
39	98.8%	98.5%	99.1%	84.3%	82.9%	85.7%
38	98.8%	98.6%	99.1%	84.6%	83.2%	86%
37	98.9%	98.6%	99.2%	84.9%	83.5%	86.3%
36	99%	98.7%	99.2%	85.2%	83.8%	86.5%
35	99%	98.8%	99.3%	85.4%	84.1%	86.8%
34	99.1%	98.9%	99.3%	85.7%	84.3%	87%
33	99.1%	98.9%	99.3%	85.9%	84.6%	87.3%
32	99.2%	99%	99.4%	86.2%	84.8%	87.5%
31	99.2%	99%	99.4%	86.4%	85.1%	87.7%
30	99.2%	99.1%	99.4%	86.6%	85.3%	87.9%
29	99.3%	99.1%	99.4%	86.8%	85.5%	88.1%
28	99.3%	99.2%	99.5%	87%	85.7%	88.3%
27	99.3%	99.2%	99.5%	87.2%	86%	88.5%
26	99.4%	99.2%	99.5%	87.4%	86.2%	88.7%
25	99.4%	99.3%	99.5%	87.6%	86.4%	88.8%
24	99.4%	99.3%	99.5%	87.8%	86.7%	89%
23	99.4%	99.4%	99.5%	88%	86.9%	89.2%
22	99.5%	99.4%	99.5%	88.2%	87.2%	89.3%
21	99.5%	99.4%	99.6%	88.4%	87.4%	89.5%
20	99.5%	99.5%	99.6%	88.6%	87.6%	89.6%
19	99.5%	99.5%	99.6%	88.8%	87.9%	89.8%
18	99.6%	99.5%	99.6%	89%	88.1%	89.9%
17	99.6%	99.6%	99.6%	89.2%	88.3%	90.1%
16	99.6%	99.6%	99.6%	89.3%	88.4%	90.2%
15	99.6%	99.6%	99.6%	89.4%	88.6%	90.3%
14	99.6%	99.6%	99.7%	89.6%	88.7%	90.4%
13	99.6%	99.6%	99.7%	89.7%	88.9%	90.5%
12	99.6%	99.6%	99.7%	89.8%	89%	90.6%
11	99.6%	99.6%	99.7%	89.9%	89.1%	90.7%
10	99.7%	99.6%	99.7%	90%	89.2%	90.8%
9	99.7%	99.6%	99.7%	90.1%	89.3%	90.8%
8	99.7%	99.6%	99.7%	90.2%	89.4%	91%
7	99.7%	99.6%	99.7%	90.3%	89.6%	91.1%
6	99.7%	99.7%	99.7%	90.5%	89.8%	91.2%
5	99.7%	99.7%	99.7%	90.7%	90%	91.5%
4	99.7%	99.7%	99.7%	90.9%	90.2%	91.6%
3	99.7%	99.7%	99.7%	91.2%	90.5%	91.9%
2	99.7%	99.7%	99.7%	91.8%	91.2%	92.5%
1	99.7%	99.7%	99.8%	93.2%	92.6%	93.8%

This chart shows the odds of living to each age from birth. 93.4% of newborns in Germany and 70.2% in Sierra Leone are expected to live past 60, 84.3% and 52% past 70, 66.5% and 23.2% past 80, and only 28.7% and 3.22% 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

Sierra Leone

Male

Female

1x

Age	Probability of dying
	Germany			Sierra Leone
	Average	Male	Female	Average	Male	Female
100	38.4%	40.3%	37.9%	42.6%	44.5%	41.8%
99	35.8%	37.9%	35.2%	40.8%	42.7%	40%
98	33.3%	35.4%	32.6%	39.2%	41.1%	38.4%
97	30.7%	32.9%	30%	37.5%	39.4%	36.6%
96	28.2%	30.5%	27.3%	35.7%	37.6%	34.8%
95	25.7%	28.2%	24.7%	33.9%	35.8%	33%
94	23.3%	25.9%	22.2%	32.1%	34%	31.1%
93	21.1%	23.6%	20%	30.3%	32.2%	29.3%
92	19%	21.3%	17.9%	28.6%	30.4%	27.6%
91	17%	19.1%	15.9%	27%	28.8%	25.9%
90	15.1%	17.1%	14%	25.5%	27.2%	24.4%
89	13.4%	15.4%	12.3%	24%	25.7%	23%
88	11.9%	13.7%	10.7%	22.6%	24.2%	21.6%
87	10.5%	12.2%	9.36%	21.2%	22.7%	20.2%
86	9.19%	10.8%	8.11%	19.8%	21.2%	18.8%
85	8.04%	9.54%	6.99%	18.3%	19.6%	17.5%
84	7.01%	8.39%	6.01%	17%	18.1%	16.2%
83	6.11%	7.38%	5.17%	15.6%	16.7%	14.9%
82	5.32%	6.49%	4.45%	14.4%	15.4%	13.7%
81	4.65%	5.72%	3.83%	13.2%	14.2%	12.6%
80	4.06%	5.05%	3.29%	12.2%	13%	11.5%
79	3.56%	4.47%	2.82%	11.2%	12%	10.6%
78	3.13%	3.98%	2.44%	10.3%	11.1%	9.68%
77	2.8%	3.59%	2.14%	9.43%	10.2%	8.85%
76	2.53%	3.26%	1.92%	8.64%	9.37%	8.08%
75	2.31%	2.99%	1.74%	7.9%	8.6%	7.36%
74	2.12%	2.74%	1.59%	7.2%	7.87%	6.67%
73	1.95%	2.53%	1.45%	6.54%	7.18%	6.03%
72	1.8%	2.34%	1.34%	5.92%	6.55%	5.42%
71	1.67%	2.17%	1.23%	5.35%	5.96%	4.86%
70	1.54%	2.01%	1.12%	4.83%	5.43%	4.34%
69	1.42%	1.86%	1.02%	4.36%	4.94%	3.89%
68	1.32%	1.73%	0.94%	3.95%	4.5%	3.49%
67	1.23%	1.61%	0.86%	3.59%	4.11%	3.15%
66	1.14%	1.49%	0.79%	3.28%	3.76%	2.86%
65	1.05%	1.39%	0.73%	3%	3.45%	2.6%
64	0.98%	1.29%	0.67%	2.74%	3.16%	2.37%
63	0.9%	1.19%	0.62%	2.5%	2.89%	2.16%
62	0.82%	1.08%	0.57%	2.28%	2.64%	1.96%
61	0.75%	0.98%	0.52%	2.08%	2.41%	1.78%
60	0.69%	0.89%	0.48%	1.89%	2.19%	1.6%
59	0.62%	0.81%	0.44%	1.71%	2%	1.45%
58	0.57%	0.74%	0.39%	1.56%	1.82%	1.32%
57	0.51%	0.66%	0.36%	1.43%	1.66%	1.21%
56	0.46%	0.6%	0.33%	1.32%	1.53%	1.12%
55	0.42%	0.54%	0.29%	1.22%	1.4%	1.04%
54	0.37%	0.48%	0.26%	1.13%	1.29%	0.97%
53	0.33%	0.43%	0.24%	1.05%	1.19%	0.91%
52	0.29%	0.38%	0.21%	0.97%	1.09%	0.85%
51	0.26%	0.33%	0.19%	0.9%	1%	0.79%
50	0.24%	0.3%	0.17%	0.83%	0.92%	0.74%
49	0.21%	0.27%	0.16%	0.76%	0.84%	0.68%
48	0.19%	0.24%	0.14%	0.7%	0.78%	0.63%
47	0.17%	0.21%	0.12%	0.65%	0.71%	0.59%
46	0.15%	0.19%	0.11%	0.61%	0.66%	0.55%
45	0.14%	0.17%	0.1%	0.57%	0.61%	0.52%
44	0.12%	0.16%	0.09%	0.53%	0.56%	0.49%
43	0.11%	0.14%	0.08%	0.5%	0.52%	0.47%
42	0.1%	0.13%	0.07%	0.47%	0.49%	0.44%
41	0.09%	0.12%	0.07%	0.44%	0.46%	0.42%
40	0.09%	0.11%	0.06%	0.41%	0.43%	0.4%
39	0.08%	0.1%	0.06%	0.39%	0.4%	0.37%
38	0.07%	0.09%	0.05%	0.37%	0.38%	0.35%
37	0.07%	0.08%	0.05%	0.35%	0.36%	0.33%
36	0.06%	0.08%	0.04%	0.33%	0.34%	0.32%
35	0.06%	0.07%	0.04%	0.31%	0.32%	0.3%
34	0.05%	0.07%	0.04%	0.3%	0.31%	0.28%
33	0.05%	0.06%	0.03%	0.28%	0.29%	0.27%
32	0.05%	0.06%	0.03%	0.27%	0.28%	0.26%
31	0.04%	0.05%	0.03%	0.26%	0.27%	0.25%
30	0.04%	0.05%	0.03%	0.25%	0.27%	0.24%
29	0.04%	0.05%	0.02%	0.24%	0.26%	0.23%
28	0.03%	0.04%	0.02%	0.24%	0.26%	0.22%
27	0.03%	0.04%	0.02%	0.23%	0.26%	0.21%
26	0.03%	0.04%	0.02%	0.23%	0.27%	0.2%
25	0.03%	0.04%	0.02%	0.23%	0.27%	0.19%
24	0.03%	0.04%	0.02%	0.23%	0.28%	0.19%
23	0.03%	0.04%	0.02%	0.23%	0.28%	0.18%
22	0.03%	0.04%	0.01%	0.23%	0.28%	0.18%
21	0.03%	0.04%	0.01%	0.23%	0.28%	0.17%
20	0.03%	0.04%	0.02%	0.22%	0.27%	0.17%
19	0.03%	0.03%	0.02%	0.21%	0.26%	0.16%
18	0.02%	0.03%	0.01%	0.2%	0.24%	0.15%
17	0.02%	0.03%	0.01%	0.18%	0.22%	0.15%
16	0.02%	0.02%	0.01%	0.16%	0.19%	0.13%
15	0.01%	0.01%	0.01%	0.15%	0.17%	0.12%
14	0.009%	0.01%	0.009%	0.13%	0.15%	0.11%
13	0.008%	0.008%	0.008%	0.12%	0.14%	0.1%
12	0.007%	0.007%	0.007%	0.11%	0.13%	0.1%
11	0.006%	0.006%	0.006%	0.11%	0.12%	0.1%
10	0.006%	0.006%	0.005%	0.11%	0.12%	0.1%
9	0.006%	0.006%	0.005%	0.12%	0.13%	0.1%
8	0.006%	0.007%	0.005%	0.13%	0.15%	0.12%
7	0.006%	0.007%	0.005%	0.16%	0.17%	0.14%
6	0.007%	0.008%	0.006%	0.19%	0.21%	0.17%
5	0.008%	0.008%	0.007%	0.26%	0.28%	0.23%
4	0.008%	0.009%	0.008%	0.18%	0.18%	0.17%
3	0.009%	0.009%	0.008%	0.29%	0.3%	0.27%
2	0.01%	0.01%	0.009%	0.72%	0.76%	0.68%
1	0.03%	0.03%	0.02%	1.46%	1.53%	1.39%
0	0.26%	0.28%	0.24%	6.81%	7.42%	6.2%

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

The annual chance of dying is 0.26% in the birth year in Germany and 6.81% in Sierra Leone, 0.04% vs 0.25% at age 30, 0.69% vs 1.89% at 60, and 4.06% vs 12.2% at 80.

Death rate by age in Germany vs Sierra Leone

Chart Table

Germany

Male

Female

Sierra Leone

Male

Female

1x

Age	Death rate
	Germany			Sierra Leone
	Total	Male	Female	Total	Male	Female
100	411	149.7	645	0	0	0
99	874	530	1,197	39.1	23.2	55.1
98	1,217	768	1,642	61.8	37.9	85.7
97	1,623	1,066	2,155	94.5	59.9	129.2
96	2,070	1,421	2,698	140.1	91.7	188.4
95	2,537	1,824	3,236	201.1	135.9	266
94	3,012	2,264	3,756	280.1	195.3	364
93	3,456	2,699	4,218	379	272.6	485
92	3,843	3,091	4,602	501	371	630
91	4,141	3,427	4,868	648	492	801
90	4,341	3,710	4,988	820	639	997
89	4,447	3,930	4,984	1,018	812	1,218
88	4,458	4,061	4,878	1,237	1,009	1,459
87	4,390	4,114	4,689	1,471	1,223	1,713
86	4,248	4,095	4,424	1,711	1,447	1,967
85	4,039	3,995	4,101	1,946	1,671	2,213
84	3,788	3,836	3,753	2,166	1,885	2,439
83	3,517	3,640	3,402	2,367	2,085	2,640
82	3,238	3,424	3,062	2,543	2,268	2,812
81	2,964	3,202	2,740	2,695	2,432	2,952
80	2,702	2,979	2,436	2,822	2,576	3,060
79	2,452	2,760	2,150	2,921	2,699	3,137
78	2,230	2,560	1,904	2,989	2,796	3,181
77	2,048	2,391	1,710	3,029	2,867	3,193
76	1,900	2,250	1,561	3,039	2,908	3,172
75	1,777	2,125	1,442	3,015	2,918	3,117
74	1,662	2,004	1,335	2,961	2,899	3,030
73	1,560	1,893	1,240	2,878	2,852	2,912
72	1,471	1,797	1,157	2,771	2,782	2,768
71	1,389	1,705	1,078	2,646	2,693	2,606
70	1,300	1,607	995	2,510	2,591	2,437
69	1,217	1,514	916	2,371	2,482	2,269
68	1,142	1,432	848	2,236	2,369	2,112
67	1,075	1,357	788	2,108	2,256	1,968
66	1,007	1,280	730	1,988	2,145	1,839
65	943	1,205	676	1,874	2,034	1,719
64	884	1,135	627	1,762	1,924	1,606
63	821	1,055	579	1,652	1,814	1,495
62	757	972	534	1,541	1,702	1,384
61	699	895	495	1,431	1,591	1,275
60	642	821	457	1,324	1,481	1,170
59	587	753	416	1,224	1,377	1,074
58	535	687	378	1,134	1,279	990
57	487	623	346	1,053	1,189	919
56	441	563	316	982	1,106	859
55	398	508	285.7	919	1,030	808
54	358	456	256.9	862	960	763
53	320	407	231.5	808	894	721
52	284.9	360	208.4	755	831	679
51	254.5	320	188	705	772	637
50	229.5	287.6	170.4	656	715	596
49	207	259.3	153.8	610	662	557
48	185.3	232.3	137.5	567	613	520
47	165.7	208.4	122.3	529	568	489
46	149.1	188.7	108.9	495	527	461
45	134.2	170.5	97.3	464	490	437
44	120.3	152.3	87.5	436	457	415
43	108.4	137.1	78.7	411	427	395
42	99.4	126.7	71	388	400	376
41	91.5	117.1	64.6	366	375	357
40	84.2	107.7	59.5	346	353	339
39	76.9	97.9	54.6	327	332	321
38	70.3	89.5	49.8	309	314	304
37	64.7	83.1	44.9	293.1	297.9	288.1
36	59.4	77	40.6	278.5	283.4	273.4
35	55	71.1	37.8	265.3	270.4	260
34	51	65.8	35.2	253.4	258.9	247.7
33	47.6	61.9	32.2	242.7	248.7	236.4
32	44.7	58.3	30	233.1	239.9	226
31	42	54	28.8	224.6	232.6	216.4
30	38.5	49.5	26.4	217.5	227.2	207.5
29	34.9	45.3	23.4	211.8	223.9	199.3
28	32.1	42.4	20.8	207.6	223	191.6
27	30	40.3	18.5	204.9	224.7	184.5
26	28.6	39.3	16.8	203.8	228.6	178
25	27.6	38.6	15.7	203.9	234.2	172.3
24	26.9	37.6	15.2	204.6	240.4	167.2
23	26.2	36.7	15	205	245.6	162.9
22	25.7	36.2	14.6	204.4	248.2	159.1
21	25.6	36	14.7	201.9	246.7	155.4
20	26.1	36	15.5	196.4	240.1	151.2
19	25.3	34.6	15.4	187.8	228.2	145.9
18	22.9	30.7	14.5	175.9	211.6	139.1
17	19.5	25.1	13.6	161.7	191.8	130.6
16	15.5	18.8	12.1	146.4	171	121.1
15	12	13.8	10.2	131.6	151.3	111.2
14	9.35	10.1	8.53	118.5	134.3	102.1
13	7.7	7.78	7.61	108.1	121.1	94.7
12	6.7	6.53	6.87	101.1	112.4	89.5
11	6.08	6.17	5.99	98	108.4	87.3
10	5.74	6.23	5.22	99.1	109.4	88.5
9	5.49	6.23	4.71	105.4	116.1	94.2
8	5.54	6.48	4.56	118.2	130.1	105.9
7	5.96	6.94	4.91	140.3	153.9	126.2
6	6.74	7.49	5.95	175.8	191.6	159.5
5	7.69	8.09	7.28	231.8	249.9	213
4	8.4	8.73	8.05	160.3	163.4	157
3	8.73	9.26	8.17	263.1	274.4	251.4
2	10.1	11	9.22	664	694	633
1	27.4	29.9	24.7	1,363	1,421	1,302
0	263.3	281	244.7	6,810	7,421	6,205

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 Sierra Leone. The median age of death is 85.1 in Germany and 70.8 in Sierra Leone, 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 Sierra Leone more than their death rates.

Life expectancy in other countries

+ -

1x