Life Expectancy in Germany vs Kenya (1950-2026)

Life expectancy by current age

Chart Table

Germany

Male

Female

Kenya

Male

Female

1x

Current age, years	Total life expectancy, years
	Germany			Kenya
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	102.2	102	102.2
99	101	100.9	101.1	101.3	101.1	101.4
98	100.2	100.1	100.2	100.4	100.2	100.5
97	99.4	99.2	99.4	99.5	99.4	99.6
96	98.6	98.4	98.6	98.7	98.5	98.8
95	97.8	97.6	97.9	97.8	97.6	97.9
94	97	96.8	97.1	97	96.8	97.1
93	96.3	96	96.4	96.2	95.9	96.3
92	95.6	95.3	95.7	95.4	95.1	95.5
91	94.9	94.5	95	94.6	94.3	94.7
90	94.2	93.9	94.4	93.8	93.5	94
89	93.6	93.2	93.8	93	92.7	93.2
88	93	92.5	93.2	92.3	91.9	92.5
87	92.4	91.9	92.7	91.6	91.1	91.8
86	91.9	91.3	92.2	90.8	90.4	91.1
85	91.3	90.8	91.7	90.1	89.7	90.4
84	90.9	90.3	91.3	89.5	89	89.7
83	90.4	89.8	90.9	88.8	88.3	89.1
82	90	89.3	90.5	88.2	87.6	88.5
81	89.6	88.8	90.2	87.6	87	87.9
80	89.2	88.4	89.8	87	86.3	87.4
79	88.9	88	89.6	86.4	85.7	86.8
78	88.6	87.6	89.3	85.8	85.1	86.3
77	88.2	87.3	89	85.2	84.5	85.7
76	88	86.9	88.8	84.6	83.9	85.2
75	87.7	86.6	88.6	84.1	83.3	84.7
74	87.4	86.3	88.3	83.6	82.8	84.2
73	87.1	85.9	88.1	83	82.2	83.7
72	86.9	85.6	87.9	82.5	81.6	83.2
71	86.6	85.3	87.7	82	81.1	82.7
70	86.3	85	87.5	81.5	80.5	82.2
69	86.1	84.7	87.3	81	80	81.8
68	85.9	84.4	87.2	80.5	79.5	81.3
67	85.6	84.2	87	80	79	80.9
66	85.4	83.9	86.8	79.5	78.5	80.5
65	85.2	83.7	86.7	79.1	78	80
64	85	83.4	86.5	78.6	77.5	79.6
63	84.8	83.2	86.4	78.2	77	79.2
62	84.6	82.9	86.2	77.8	76.5	78.9
61	84.5	82.7	86.1	77.4	76.1	78.5
60	84.3	82.5	86	77	75.6	78.2
59	84.1	82.3	85.9	76.6	75.2	77.8
58	84	82.2	85.8	76.2	74.8	77.5
57	83.9	82	85.7	75.8	74.4	77.2
56	83.7	81.9	85.6	75.5	74	76.9
55	83.6	81.7	85.5	75.1	73.7	76.6
54	83.5	81.6	85.4	74.8	73.3	76.3
53	83.4	81.5	85.3	74.5	72.9	76
52	83.3	81.4	85.3	74.1	72.6	75.7
51	83.2	81.3	85.2	73.8	72.2	75.4
50	83.2	81.2	85.1	73.5	71.9	75.1
49	83.1	81.1	85.1	73.2	71.6	74.9
48	83	81	85	72.9	71.2	74.6
47	83	80.9	85	72.6	70.9	74.4
46	82.9	80.9	84.9	72.4	70.6	74.1
45	82.9	80.8	84.9	72.1	70.3	73.9
44	82.8	80.7	84.9	71.8	70.1	73.6
43	82.8	80.7	84.8	71.6	69.8	73.4
42	82.7	80.6	84.8	71.3	69.5	73.2
41	82.7	80.6	84.8	71.1	69.2	73
40	82.7	80.6	84.7	70.8	69	72.8
39	82.6	80.5	84.7	70.6	68.7	72.5
38	82.6	80.5	84.7	70.4	68.5	72.3
37	82.6	80.4	84.7	70.2	68.3	72.1
36	82.5	80.4	84.6	70	68.1	71.9
35	82.5	80.4	84.6	69.8	67.8	71.8
34	82.5	80.3	84.6	69.6	67.6	71.6
33	82.5	80.3	84.6	69.4	67.5	71.4
32	82.4	80.3	84.6	69.2	67.3	71.2
31	82.4	80.3	84.6	69.1	67.1	71.1
30	82.4	80.2	84.5	68.9	66.9	70.9
29	82.4	80.2	84.5	68.7	66.7	70.8
28	82.4	80.2	84.5	68.6	66.6	70.6
27	82.3	80.2	84.5	68.4	66.4	70.5
26	82.3	80.1	84.5	68.3	66.3	70.4
25	82.3	80.1	84.5	68.2	66.1	70.3
24	82.3	80.1	84.5	68	66	70.1
23	82.3	80.1	84.5	67.9	65.9	70
22	82.3	80.1	84.5	67.8	65.8	69.9
21	82.2	80	84.5	67.7	65.6	69.8
20	82.2	80	84.4	67.6	65.5	69.8
19	82.2	80	84.4	67.5	65.4	69.7
18	82.2	80	84.4	67.4	65.3	69.6
17	82.2	80	84.4	67.4	65.3	69.5
16	82.2	80	84.4	67.3	65.2	69.5
15	82.2	79.9	84.4	67.2	65.1	69.4
14	82.2	79.9	84.4	67.2	65.1	69.4
13	82.2	79.9	84.4	67.1	65	69.3
12	82.2	79.9	84.4	67.1	65	69.3
11	82.2	79.9	84.4	67.1	65	69.3
10	82.1	79.9	84.4	67	64.9	69.2
9	82.1	79.9	84.4	67	64.9	69.2
8	82.1	79.9	84.4	66.9	64.8	69.1
7	82.1	79.9	84.4	66.9	64.8	69.1
6	82.1	79.9	84.4	66.8	64.7	69
5	82.1	79.9	84.4	66.8	64.7	69
4	82.1	79.9	84.4	66.7	64.6	68.9
3	82.1	79.9	84.3	66.5	64.4	68.7
2	82.1	79.9	84.3	66.3	64.3	68.5
1	82.1	79.8	84.3	66	64	68.2
0	81.9	79.6	84.1	64.2	62	66.5

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 68.9 in Kenya, rising to 85.2 and 79.1 at 65, and to 89.2 and 87 at 80 — higher than the 81.9 and 64.2 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Germany

Male

Female

Kenya

Male

Female

1x

Age	Survival probability
	Germany			Kenya
	Average	Male	Female	Average	Male	Female
100	1.57%	0.87%	2.2%	0.32%	0.15%	0.49%
99	2.44%	1.4%	3.4%	0.48%	0.24%	0.72%
98	3.66%	2.17%	5.04%	0.69%	0.36%	1.03%
97	5.28%	3.24%	7.19%	0.99%	0.53%	1.45%
96	7.35%	4.66%	9.89%	1.38%	0.76%	2%
95	9.89%	6.48%	13.1%	1.89%	1.07%	2.69%
94	12.9%	8.74%	16.9%	2.52%	1.48%	3.54%
93	16.4%	11.4%	21.1%	3.29%	1.99%	4.57%
92	20.2%	14.5%	25.7%	4.21%	2.63%	5.77%
91	24.3%	18%	30.6%	5.28%	3.39%	7.15%
90	28.7%	21.7%	35.6%	6.54%	4.31%	8.75%
89	33.1%	25.6%	40.5%	7.94%	5.38%	10.5%
88	37.6%	29.7%	45.4%	9.51%	6.6%	12.4%
87	42%	33.8%	50.1%	11.2%	7.98%	14.5%
86	46.2%	37.9%	54.5%	13.1%	9.5%	16.7%
85	50.3%	41.9%	58.6%	15%	11.2%	19.1%
84	54%	45.7%	62.4%	17.1%	12.9%	21.5%
83	57.6%	49.3%	65.8%	19.2%	14.8%	23.9%
82	60.8%	52.8%	68.9%	21.4%	16.7%	26.3%
81	63.8%	56%	71.6%	23.5%	18.7%	28.6%
80	66.5%	58.9%	74%	25.7%	20.7%	31%
79	68.9%	61.7%	76.2%	27.9%	22.8%	33.3%
78	71.2%	64.3%	78.1%	30.1%	24.9%	35.7%
77	73.2%	66.7%	79.8%	32.4%	27.1%	38%
76	75.1%	68.9%	81.4%	34.6%	29.2%	40.3%
75	76.9%	71%	82.8%	36.9%	31.4%	42.6%
74	78.5%	73%	84.1%	39.1%	33.6%	44.8%
73	80.1%	74.9%	85.4%	41.3%	35.8%	47%
72	81.6%	76.7%	86.5%	43.4%	37.9%	49.2%
71	83%	78.4%	87.6%	45.5%	40.1%	51.3%
70	84.3%	80%	88.6%	47.6%	42.2%	53.3%
69	85.5%	81.6%	89.5%	49.7%	44.4%	55.3%
68	86.6%	83%	90.4%	51.7%	46.5%	57.2%
67	87.7%	84.3%	91.2%	53.7%	48.5%	59.1%
66	88.7%	85.6%	91.9%	55.6%	50.6%	60.9%
65	89.6%	86.8%	92.6%	57.5%	52.7%	62.7%
64	90.5%	88%	93.2%	59.4%	54.7%	64.4%
63	91.3%	89%	93.8%	61.1%	56.6%	66%
62	92.1%	90%	94.3%	62.8%	58.5%	67.5%
61	92.8%	90.9%	94.8%	64.5%	60.3%	68.9%
60	93.4%	91.7%	95.2%	66%	62%	70.3%
59	94%	92.5%	95.7%	67.5%	63.7%	71.6%
58	94.6%	93.1%	96%	68.9%	65.2%	72.8%
57	95.1%	93.8%	96.4%	70.3%	66.8%	74%
56	95.5%	94.3%	96.7%	71.6%	68.2%	75.1%
55	95.9%	94.8%	97%	72.8%	69.7%	76.2%
54	96.3%	95.3%	97.2%	74.1%	71%	77.2%
53	96.6%	95.7%	97.5%	75.2%	72.4%	78.2%
52	96.9%	96.1%	97.7%	76.4%	73.6%	79.2%
51	97.1%	96.4%	97.9%	77.4%	74.9%	80.1%
50	97.3%	96.7%	98%	78.5%	76.1%	81%
49	97.5%	96.9%	98.2%	79.5%	77.2%	81.9%
48	97.7%	97.2%	98.3%	80.4%	78.3%	82.7%
47	97.9%	97.4%	98.5%	81.4%	79.3%	83.5%
46	98%	97.6%	98.6%	82.2%	80.3%	84.2%
45	98.2%	97.7%	98.7%	83.1%	81.2%	84.9%
44	98.3%	97.9%	98.8%	83.9%	82.1%	85.6%
43	98.4%	98%	98.8%	84.6%	83%	86.2%
42	98.5%	98.1%	98.9%	85.3%	83.8%	86.9%
41	98.6%	98.3%	99%	86%	84.6%	87.5%
40	98.7%	98.4%	99%	86.7%	85.4%	88.1%
39	98.8%	98.5%	99.1%	87.4%	86.1%	88.6%
38	98.8%	98.6%	99.1%	88%	86.8%	89.1%
37	98.9%	98.6%	99.2%	88.5%	87.4%	89.7%
36	99%	98.7%	99.2%	89.1%	88%	90.1%
35	99%	98.8%	99.3%	89.6%	88.6%	90.6%
34	99.1%	98.9%	99.3%	90.1%	89.2%	91%
33	99.1%	98.9%	99.3%	90.6%	89.7%	91.5%
32	99.2%	99%	99.4%	91%	90.1%	91.9%
31	99.2%	99%	99.4%	91.4%	90.6%	92.2%
30	99.2%	99.1%	99.4%	91.8%	91%	92.6%
29	99.3%	99.1%	99.4%	92.2%	91.4%	92.9%
28	99.3%	99.2%	99.5%	92.5%	91.8%	93.2%
27	99.3%	99.2%	99.5%	92.8%	92.2%	93.5%
26	99.4%	99.2%	99.5%	93.1%	92.5%	93.8%
25	99.4%	99.3%	99.5%	93.4%	92.8%	94%
24	99.4%	99.3%	99.5%	93.7%	93.1%	94.3%
23	99.4%	99.4%	99.5%	94%	93.4%	94.5%
22	99.5%	99.4%	99.5%	94.2%	93.7%	94.7%
21	99.5%	99.4%	99.6%	94.4%	93.9%	94.9%
20	99.5%	99.5%	99.6%	94.6%	94.2%	95%
19	99.5%	99.5%	99.6%	94.8%	94.4%	95.2%
18	99.6%	99.5%	99.6%	94.9%	94.6%	95.3%
17	99.6%	99.6%	99.6%	95.1%	94.7%	95.5%
16	99.6%	99.6%	99.6%	95.2%	94.8%	95.6%
15	99.6%	99.6%	99.6%	95.3%	95%	95.7%
14	99.6%	99.6%	99.7%	95.4%	95%	95.7%
13	99.6%	99.6%	99.7%	95.5%	95.1%	95.8%
12	99.6%	99.6%	99.7%	95.5%	95.2%	95.9%
11	99.6%	99.6%	99.7%	95.6%	95.3%	95.9%
10	99.7%	99.6%	99.7%	95.7%	95.3%	96%
9	99.7%	99.6%	99.7%	95.7%	95.4%	96.1%
8	99.7%	99.6%	99.7%	95.8%	95.5%	96.1%
7	99.7%	99.6%	99.7%	95.9%	95.6%	96.2%
6	99.7%	99.7%	99.7%	96%	95.7%	96.3%
5	99.7%	99.7%	99.7%	96.1%	95.8%	96.4%
4	99.7%	99.7%	99.7%	96.2%	95.9%	96.5%
3	99.7%	99.7%	99.7%	96.4%	96.1%	96.7%
2	99.7%	99.7%	99.7%	96.7%	96.4%	97%
1	99.7%	99.7%	99.8%	97.2%	96.8%	97.5%

This chart shows the odds of living to each age from birth. 93.4% of newborns in Germany and 66% in Kenya are expected to live past 60, 84.3% and 47.6% past 70, 66.5% and 25.7% past 80, and only 28.7% and 6.54% 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

Kenya

Male

Female

1x

Age	Probability of dying
	Germany			Kenya
	Average	Male	Female	Average	Male	Female
100	38.4%	40.3%	37.9%	34.7%	36.8%	33.8%
99	35.8%	37.9%	35.2%	33.2%	35.4%	32.3%
98	33.3%	35.4%	32.6%	31.3%	33.6%	30.4%
97	30.7%	32.9%	30%	29.9%	32.1%	28.9%
96	28.2%	30.5%	27.3%	28.3%	30.6%	27.4%
95	25.7%	28.2%	24.7%	26.7%	29.1%	25.8%
94	23.3%	25.9%	22.2%	25.1%	27.5%	24%
93	21.1%	23.6%	20%	23.4%	25.8%	22.4%
92	19%	21.3%	17.9%	21.9%	24.3%	20.9%
91	17%	19.1%	15.9%	20.3%	22.6%	19.3%
90	15.1%	17.1%	14%	19.2%	21.3%	18.3%
89	13.4%	15.4%	12.3%	17.7%	19.8%	16.7%
88	11.9%	13.7%	10.7%	16.5%	18.5%	15.5%
87	10.5%	12.2%	9.36%	15.3%	17.2%	14.3%
86	9.19%	10.8%	8.11%	14.2%	16%	13.3%
85	8.04%	9.54%	6.99%	13%	14.8%	12.2%
84	7.01%	8.39%	6.01%	12%	13.7%	11.1%
83	6.11%	7.38%	5.17%	11%	12.6%	10.1%
82	5.32%	6.49%	4.45%	10.1%	11.6%	9.19%
81	4.65%	5.72%	3.83%	9.13%	10.5%	8.19%
80	4.06%	5.05%	3.29%	8.53%	9.8%	7.62%
79	3.56%	4.47%	2.82%	7.9%	9.07%	7.01%
78	3.13%	3.98%	2.44%	7.44%	8.49%	6.6%
77	2.8%	3.59%	2.14%	6.92%	7.88%	6.11%
76	2.53%	3.26%	1.92%	6.48%	7.39%	5.74%
75	2.31%	2.99%	1.74%	6.05%	6.94%	5.37%
74	2.12%	2.74%	1.59%	5.66%	6.5%	5.01%
73	1.95%	2.53%	1.45%	5.3%	6.1%	4.68%
72	1.8%	2.34%	1.34%	4.99%	5.75%	4.38%
71	1.67%	2.17%	1.23%	4.64%	5.36%	4.06%
70	1.54%	2.01%	1.12%	4.41%	5.1%	3.84%
69	1.42%	1.86%	1.02%	4.11%	4.77%	3.57%
68	1.32%	1.73%	0.94%	3.89%	4.52%	3.36%
67	1.23%	1.61%	0.86%	3.68%	4.29%	3.16%
66	1.14%	1.49%	0.79%	3.5%	4.08%	2.98%
65	1.05%	1.39%	0.73%	3.34%	3.91%	2.83%
64	0.98%	1.29%	0.67%	3.11%	3.65%	2.61%
63	0.9%	1.19%	0.62%	2.9%	3.42%	2.42%
62	0.82%	1.08%	0.57%	2.7%	3.2%	2.25%
61	0.75%	0.98%	0.52%	2.51%	2.97%	2.08%
60	0.69%	0.89%	0.48%	2.36%	2.81%	1.94%
59	0.62%	0.81%	0.44%	2.19%	2.59%	1.81%
58	0.57%	0.74%	0.39%	2.05%	2.43%	1.7%
57	0.51%	0.66%	0.36%	1.93%	2.28%	1.59%
56	0.46%	0.6%	0.33%	1.83%	2.15%	1.51%
55	0.42%	0.54%	0.29%	1.73%	2.05%	1.42%
54	0.37%	0.48%	0.26%	1.64%	1.93%	1.35%
53	0.33%	0.43%	0.24%	1.56%	1.83%	1.28%
52	0.29%	0.38%	0.21%	1.48%	1.74%	1.22%
51	0.26%	0.33%	0.19%	1.4%	1.64%	1.15%
50	0.24%	0.3%	0.17%	1.34%	1.57%	1.1%
49	0.21%	0.27%	0.16%	1.25%	1.47%	1.04%
48	0.19%	0.24%	0.14%	1.19%	1.38%	0.98%
47	0.17%	0.21%	0.12%	1.12%	1.3%	0.93%
46	0.15%	0.19%	0.11%	1.06%	1.23%	0.88%
45	0.14%	0.17%	0.1%	1%	1.17%	0.84%
44	0.12%	0.16%	0.09%	0.95%	1.1%	0.79%
43	0.11%	0.14%	0.08%	0.9%	1.04%	0.76%
42	0.1%	0.13%	0.07%	0.86%	0.98%	0.72%
41	0.09%	0.12%	0.07%	0.81%	0.93%	0.69%
40	0.09%	0.11%	0.06%	0.78%	0.89%	0.66%
39	0.08%	0.1%	0.06%	0.73%	0.83%	0.63%
38	0.07%	0.09%	0.05%	0.69%	0.79%	0.6%
37	0.07%	0.08%	0.05%	0.65%	0.74%	0.57%
36	0.06%	0.08%	0.04%	0.62%	0.69%	0.54%
35	0.06%	0.07%	0.04%	0.58%	0.65%	0.51%
34	0.05%	0.07%	0.04%	0.54%	0.61%	0.48%
33	0.05%	0.06%	0.03%	0.51%	0.57%	0.45%
32	0.05%	0.06%	0.03%	0.48%	0.53%	0.43%
31	0.04%	0.05%	0.03%	0.45%	0.5%	0.4%
30	0.04%	0.05%	0.03%	0.42%	0.47%	0.38%
29	0.04%	0.05%	0.02%	0.4%	0.44%	0.36%
28	0.03%	0.04%	0.02%	0.37%	0.42%	0.33%
27	0.03%	0.04%	0.02%	0.35%	0.39%	0.31%
26	0.03%	0.04%	0.02%	0.33%	0.37%	0.29%
25	0.03%	0.04%	0.02%	0.31%	0.35%	0.27%
24	0.03%	0.04%	0.02%	0.29%	0.32%	0.25%
23	0.03%	0.04%	0.02%	0.27%	0.31%	0.23%
22	0.03%	0.04%	0.01%	0.25%	0.28%	0.21%
21	0.03%	0.04%	0.01%	0.23%	0.26%	0.19%
20	0.03%	0.04%	0.02%	0.21%	0.24%	0.18%
19	0.03%	0.03%	0.02%	0.19%	0.22%	0.16%
18	0.02%	0.03%	0.01%	0.17%	0.2%	0.15%
17	0.02%	0.03%	0.01%	0.15%	0.17%	0.13%
16	0.02%	0.02%	0.01%	0.13%	0.14%	0.11%
15	0.01%	0.01%	0.01%	0.11%	0.12%	0.1%
14	0.009%	0.01%	0.009%	0.09%	0.1%	0.08%
13	0.008%	0.008%	0.008%	0.08%	0.09%	0.08%
12	0.007%	0.007%	0.007%	0.07%	0.08%	0.07%
11	0.006%	0.006%	0.006%	0.07%	0.08%	0.07%
10	0.006%	0.006%	0.005%	0.07%	0.07%	0.07%
9	0.006%	0.006%	0.005%	0.07%	0.08%	0.07%
8	0.006%	0.007%	0.005%	0.08%	0.08%	0.07%
7	0.006%	0.007%	0.005%	0.09%	0.09%	0.08%
6	0.007%	0.008%	0.006%	0.1%	0.1%	0.09%
5	0.008%	0.008%	0.007%	0.11%	0.12%	0.11%
4	0.008%	0.009%	0.008%	0.15%	0.15%	0.15%
3	0.009%	0.009%	0.008%	0.21%	0.21%	0.2%
2	0.01%	0.01%	0.009%	0.3%	0.29%	0.3%
1	0.03%	0.03%	0.02%	0.47%	0.44%	0.49%
0	0.26%	0.28%	0.24%	2.82%	3.15%	2.48%

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

The annual chance of dying is 0.26% in the birth year in Germany and 2.82% in Kenya, 0.04% vs 0.42% at age 30, 0.69% vs 2.36% at 60, and 4.06% vs 8.53% at 80.

Death rate by age in Germany vs Kenya

Chart Table

Germany

Male

Female

Kenya

Male

Female

1x

Age	Death rate
	Germany			Kenya
	Total	Male	Female	Total	Male	Female
100	411	149.7	645	53.6	13.4	94.3
99	874	530	1,197	158.4	84	232.3
98	1,217	768	1,642	217.5	120.1	313
97	1,623	1,066	2,155	295.7	169.3	419
96	2,070	1,421	2,698	392	232.6	547
95	2,537	1,824	3,236	505	311	693
94	3,012	2,264	3,756	631	405	851
93	3,456	2,699	4,218	771	514	1,023
92	3,843	3,091	4,602	923	638	1,207
91	4,141	3,427	4,868	1,072	767	1,378
90	4,341	3,710	4,988	1,255	920	1,598
89	4,447	3,930	4,984	1,403	1,066	1,756
88	4,458	4,061	4,878	1,565	1,223	1,933
87	4,390	4,114	4,689	1,711	1,375	2,084
86	4,248	4,095	4,424	1,852	1,523	2,224
85	4,039	3,995	4,101	1,959	1,651	2,316
84	3,788	3,836	3,753	2,058	1,776	2,391
83	3,517	3,640	3,402	2,113	1,864	2,409
82	3,238	3,424	3,062	2,159	1,941	2,415
81	2,964	3,202	2,740	2,146	1,973	2,345
80	2,702	2,979	2,436	2,192	2,033	2,362
79	2,452	2,760	2,150	2,204	2,068	2,335
78	2,230	2,560	1,904	2,244	2,116	2,353
77	2,048	2,391	1,710	2,240	2,132	2,320
76	1,900	2,250	1,561	2,243	2,160	2,313
75	1,777	2,125	1,442	2,230	2,178	2,289
74	1,662	2,004	1,335	2,212	2,183	2,248
73	1,560	1,893	1,240	2,188	2,182	2,200
72	1,471	1,797	1,157	2,166	2,180	2,156
71	1,389	1,705	1,078	2,112	2,148	2,080
70	1,300	1,607	995	2,099	2,153	2,048
69	1,217	1,514	916	2,043	2,116	1,972
68	1,142	1,432	848	2,012	2,102	1,922
67	1,075	1,357	788	1,976	2,083	1,867
66	1,007	1,280	730	1,944	2,067	1,816
65	943	1,205	676	1,921	2,060	1,776
64	884	1,135	627	1,844	1,998	1,682
63	821	1,055	579	1,770	1,935	1,595
62	757	972	534	1,699	1,873	1,515
61	699	895	495	1,618	1,792	1,432
60	642	821	457	1,560	1,739	1,366
59	587	753	416	1,477	1,648	1,294
58	535	687	378	1,416	1,584	1,236
57	487	623	346	1,358	1,522	1,180
56	441	563	316	1,307	1,469	1,132
55	398	508	285.7	1,262	1,425	1,085
54	358	456	256.9	1,215	1,373	1,042
53	320	407	231.5	1,171	1,326	1,002
52	284.9	360	208.4	1,132	1,283	967
51	254.5	320	188	1,084	1,231	924
50	229.5	287.6	170.4	1,049	1,193	892
49	207	259.3	153.8	997	1,133	850
48	185.3	232.3	137.5	954	1,084	811
47	165.7	208.4	122.3	910	1,034	774
46	149.1	188.7	108.9	869	988	739
45	134.2	170.5	97.3	834	947	710
44	120.3	152.3	87.5	794	900	679
43	108.4	137.1	78.7	761	861	653
42	99.4	126.7	71	730	824	628
41	91.5	117.1	64.6	699	786	605
40	84.2	107.7	59.5	673	757	584
39	76.9	97.9	54.6	639	716	559
38	70.3	89.5	49.8	610	682	536
37	64.7	83.1	44.9	580	647	511
36	59.4	77	40.6	549	611	487
35	55	71.1	37.8	521	578	464
34	51	65.8	35.2	489	543	436
33	47.6	61.9	32.2	461	510	412
32	44.7	58.3	30	435	481	391
31	42	54	28.8	409	452	367
30	38.5	49.5	26.4	390	431	351
29	34.9	45.3	23.4	367	404	332
28	32.1	42.4	20.8	346	382	311
27	30	40.3	18.5	326	361	293.5
26	28.6	39.3	16.8	306	340	273.1
25	27.6	38.6	15.7	287	322	252.9
24	26.9	37.6	15.2	268.3	303	234.5
23	26.2	36.7	15	250.7	285.1	216.8
22	25.7	36.2	14.6	232.9	266.5	199.6
21	25.6	36	14.7	214.5	246.6	182.5
20	26.1	36	15.5	198.6	226.6	170.5
19	25.3	34.6	15.4	180.2	205.8	154.3
18	22.9	30.7	14.5	162.4	185.4	139
17	19.5	25.1	13.6	140.3	157.5	122.8
16	15.5	18.8	12.1	119.7	131.5	107.6
15	12	13.8	10.2	102.9	111	94.6
14	9.35	10.1	8.53	87.5	93.7	81.2
13	7.7	7.78	7.61	76.9	81.8	72
12	6.7	6.53	6.87	70.4	75.3	65.4
11	6.08	6.17	5.99	67.3	72.1	62.5
10	5.74	6.23	5.22	66.7	70.3	63.1
9	5.49	6.23	4.71	69	72.4	65.5
8	5.54	6.48	4.56	74.2	78.3	70.1
7	5.96	6.94	4.91	82.4	86.7	78.1
6	6.74	7.49	5.95	92.5	96.3	88.6
5	7.69	8.09	7.28	109.2	111.8	106.5
4	8.4	8.73	8.05	144	146.8	141.1
3	8.73	9.26	8.17	197.9	197.7	198
2	10.1	11	9.22	288.3	281.8	294.8
1	27.4	29.9	24.7	454	428	480
0	263.3	281	244.7	2,818	3,154	2,478

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 Kenya. The median age of death is 85.1 in Germany and 68.8 in Kenya, 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 Kenya more than their death rates.

Life expectancy in other countries

+ -

1x