Life Expectancy in Germany vs Madagascar (1950-2026)

Life expectancy by current age

Chart Table

Germany

Male

Female

Madagascar

Male

Female

1x

Current age, years	Total life expectancy, years
	Germany			Madagascar
	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	100.8	100.7	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	97.3	97.1	97.4
94	97	96.8	97.1	96.4	96.2	96.5
93	96.3	96	96.4	95.6	95.3	95.7
92	95.6	95.3	95.7	94.7	94.5	94.9
91	94.9	94.5	95	93.9	93.7	94.1
90	94.2	93.9	94.4	93.1	92.8	93.3
89	93.6	93.2	93.8	92.3	92.1	92.5
88	93	92.5	93.2	91.6	91.3	91.8
87	92.4	91.9	92.7	90.8	90.5	91
86	91.9	91.3	92.2	90.1	89.8	90.3
85	91.3	90.8	91.7	89.4	89.1	89.5
84	90.9	90.3	91.3	88.6	88.4	88.8
83	90.4	89.8	90.9	88	87.7	88.2
82	90	89.3	90.5	87.3	87	87.5
81	89.6	88.8	90.2	86.6	86.4	86.9
80	89.2	88.4	89.8	86	85.8	86.2
79	88.9	88	89.6	85.4	85.1	85.6
78	88.6	87.6	89.3	84.8	84.5	85.1
77	88.2	87.3	89	84.3	84	84.5
76	88	86.9	88.8	83.7	83.4	84
75	87.7	86.6	88.6	83.2	82.9	83.5
74	87.4	86.3	88.3	82.7	82.3	83
73	87.1	85.9	88.1	82.2	81.8	82.5
72	86.9	85.6	87.9	81.7	81.4	82.1
71	86.6	85.3	87.7	81.3	80.9	81.6
70	86.3	85	87.5	80.9	80.4	81.2
69	86.1	84.7	87.3	80.4	80	80.8
68	85.9	84.4	87.2	80.1	79.6	80.5
67	85.6	84.2	87	79.7	79.2	80.1
66	85.4	83.9	86.8	79.3	78.8	79.8
65	85.2	83.7	86.7	79	78.4	79.4
64	85	83.4	86.5	78.6	78.1	79.1
63	84.8	83.2	86.4	78.3	77.7	78.8
62	84.6	82.9	86.2	78	77.4	78.6
61	84.5	82.7	86.1	77.7	77.1	78.3
60	84.3	82.5	86	77.4	76.8	78
59	84.1	82.3	85.9	77.2	76.5	77.8
58	84	82.2	85.8	76.9	76.2	77.6
57	83.9	82	85.7	76.7	76	77.4
56	83.7	81.9	85.6	76.4	75.7	77.2
55	83.6	81.7	85.5	76.2	75.4	76.9
54	83.5	81.6	85.4	76	75.2	76.7
53	83.4	81.5	85.3	75.8	74.9	76.5
52	83.3	81.4	85.3	75.5	74.7	76.3
51	83.2	81.3	85.2	75.3	74.5	76.1
50	83.2	81.2	85.1	75.1	74.3	76
49	83.1	81.1	85.1	74.9	74	75.8
48	83	81	85	74.7	73.8	75.6
47	83	80.9	85	74.6	73.6	75.5
46	82.9	80.9	84.9	74.4	73.5	75.3
45	82.9	80.8	84.9	74.2	73.3	75.1
44	82.8	80.7	84.9	74	73.1	75
43	82.8	80.7	84.8	73.9	72.9	74.8
42	82.7	80.6	84.8	73.7	72.7	74.7
41	82.7	80.6	84.8	73.5	72.5	74.5
40	82.7	80.6	84.7	73.4	72.4	74.4
39	82.6	80.5	84.7	73.2	72.2	74.2
38	82.6	80.5	84.7	73.1	72	74.1
37	82.6	80.4	84.7	72.9	71.9	73.9
36	82.5	80.4	84.6	72.7	71.7	73.8
35	82.5	80.4	84.6	72.6	71.5	73.6
34	82.5	80.3	84.6	72.4	71.4	73.5
33	82.5	80.3	84.6	72.3	71.2	73.4
32	82.4	80.3	84.6	72.1	71	73.2
31	82.4	80.3	84.6	72	70.9	73.1
30	82.4	80.2	84.5	71.8	70.7	73
29	82.4	80.2	84.5	71.7	70.5	72.8
28	82.4	80.2	84.5	71.5	70.4	72.7
27	82.3	80.2	84.5	71.4	70.2	72.6
26	82.3	80.1	84.5	71.2	70	72.4
25	82.3	80.1	84.5	71.1	69.9	72.3
24	82.3	80.1	84.5	70.9	69.7	72.2
23	82.3	80.1	84.5	70.8	69.5	72.1
22	82.3	80.1	84.5	70.6	69.3	71.9
21	82.2	80	84.5	70.5	69.1	71.8
20	82.2	80	84.4	70.3	69	71.7
19	82.2	80	84.4	70.2	68.8	71.6
18	82.2	80	84.4	70.1	68.7	71.5
17	82.2	80	84.4	69.9	68.5	71.4
16	82.2	80	84.4	69.8	68.4	71.3
15	82.2	79.9	84.4	69.7	68.3	71.2
14	82.2	79.9	84.4	69.6	68.2	71.1
13	82.2	79.9	84.4	69.5	68.1	71
12	82.2	79.9	84.4	69.5	68	70.9
11	82.2	79.9	84.4	69.4	67.9	70.8
10	82.1	79.9	84.4	69.3	67.8	70.7
9	82.1	79.9	84.4	69.1	67.7	70.6
8	82.1	79.9	84.4	69	67.6	70.5
7	82.1	79.9	84.4	68.8	67.4	70.3
6	82.1	79.9	84.4	68.7	67.2	70.1
5	82.1	79.9	84.4	68.4	67	69.9
4	82.1	79.9	84.4	68.2	66.7	69.7
3	82.1	79.9	84.3	67.9	66.4	69.4
2	82.1	79.9	84.3	67.5	66	69.1
1	82.1	79.8	84.3	67.1	65.6	68.7
0	81.9	79.6	84.1	64.3	62.5	66.1

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 71.8 in Madagascar, rising to 85.2 and 79 at 65, and to 89.2 and 86 at 80 — higher than the 81.9 and 64.3 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Germany

Male

Female

Madagascar

Male

Female

1x

Age	Survival probability
	Germany			Madagascar
	Average	Male	Female	Average	Male	Female
100	1.57%	0.87%	2.2%	0.11%	0.06%	0.16%
99	2.44%	1.4%	3.4%	0.18%	0.1%	0.26%
98	3.66%	2.17%	5.04%	0.29%	0.17%	0.42%
97	5.28%	3.24%	7.19%	0.47%	0.28%	0.66%
96	7.35%	4.66%	9.89%	0.72%	0.45%	1%
95	9.89%	6.48%	13.1%	1.08%	0.71%	1.46%
94	12.9%	8.74%	16.9%	1.57%	1.07%	2.08%
93	16.4%	11.4%	21.1%	2.21%	1.58%	2.86%
92	20.2%	14.5%	25.7%	3.04%	2.25%	3.83%
91	24.3%	18%	30.6%	4.06%	3.12%	5.01%
90	28.7%	21.7%	35.6%	5.3%	4.2%	6.42%
89	33.1%	25.6%	40.5%	6.77%	5.49%	8.06%
88	37.6%	29.7%	45.4%	8.47%	7%	9.95%
87	42%	33.8%	50.1%	10.4%	8.73%	12.1%
86	46.2%	37.9%	54.5%	12.5%	10.7%	14.5%
85	50.3%	41.9%	58.6%	14.9%	12.8%	17%
84	54%	45.7%	62.4%	17.4%	15.1%	19.8%
83	57.6%	49.3%	65.8%	20.1%	17.5%	22.7%
82	60.8%	52.8%	68.9%	22.9%	20.1%	25.7%
81	63.8%	56%	71.6%	25.8%	22.8%	28.8%
80	66.5%	58.9%	74%	28.7%	25.5%	31.9%
79	68.9%	61.7%	76.2%	31.6%	28.3%	35%
78	71.2%	64.3%	78.1%	34.5%	31.1%	38%
77	73.2%	66.7%	79.8%	37.4%	33.9%	41%
76	75.1%	68.9%	81.4%	40.2%	36.7%	43.9%
75	76.9%	71%	82.8%	43%	39.3%	46.7%
74	78.5%	73%	84.1%	45.6%	42%	49.4%
73	80.1%	74.9%	85.4%	48.2%	44.5%	52%
72	81.6%	76.7%	86.5%	50.6%	46.9%	54.4%
71	83%	78.4%	87.6%	52.9%	49.3%	56.7%
70	84.3%	80%	88.6%	55.1%	51.5%	58.9%
69	85.5%	81.6%	89.5%	57.2%	53.6%	60.9%
68	86.6%	83%	90.4%	59.2%	55.6%	62.8%
67	87.7%	84.3%	91.2%	61%	57.5%	64.6%
66	88.7%	85.6%	91.9%	62.7%	59.3%	66.3%
65	89.6%	86.8%	92.6%	64.4%	61%	67.8%
64	90.5%	88%	93.2%	65.9%	62.6%	69.2%
63	91.3%	89%	93.8%	67.3%	64.2%	70.6%
62	92.1%	90%	94.3%	68.6%	65.6%	71.8%
61	92.8%	90.9%	94.8%	69.9%	66.9%	72.9%
60	93.4%	91.7%	95.2%	71%	68.1%	74%
59	94%	92.5%	95.7%	72%	69.3%	74.9%
58	94.6%	93.1%	96%	73%	70.3%	75.8%
57	95.1%	93.8%	96.4%	73.9%	71.3%	76.6%
56	95.5%	94.3%	96.7%	74.8%	72.3%	77.4%
55	95.9%	94.8%	97%	75.7%	73.2%	78.2%
54	96.3%	95.3%	97.2%	76.5%	74.1%	78.9%
53	96.6%	95.7%	97.5%	77.3%	75%	79.6%
52	96.9%	96.1%	97.7%	78%	75.8%	80.3%
51	97.1%	96.4%	97.9%	78.7%	76.6%	80.9%
50	97.3%	96.7%	98%	79.3%	77.3%	81.5%
49	97.5%	96.9%	98.2%	79.9%	78%	82%
48	97.7%	97.2%	98.3%	80.5%	78.6%	82.5%
47	97.9%	97.4%	98.5%	81%	79.2%	83%
46	98%	97.6%	98.6%	81.5%	79.7%	83.5%
45	98.2%	97.7%	98.7%	82%	80.2%	83.9%
44	98.3%	97.9%	98.8%	82.5%	80.8%	84.3%
43	98.4%	98%	98.8%	83%	81.3%	84.8%
42	98.5%	98.1%	98.9%	83.4%	81.7%	85.2%
41	98.6%	98.3%	99%	83.9%	82.2%	85.6%
40	98.7%	98.4%	99%	84.3%	82.7%	86%
39	98.8%	98.5%	99.1%	84.7%	83.1%	86.4%
38	98.8%	98.6%	99.1%	85.1%	83.5%	86.7%
37	98.9%	98.6%	99.2%	85.4%	83.9%	87%
36	99%	98.7%	99.2%	85.8%	84.3%	87.4%
35	99%	98.8%	99.3%	86.1%	84.7%	87.7%
34	99.1%	98.9%	99.3%	86.5%	85.1%	88%
33	99.1%	98.9%	99.3%	86.8%	85.4%	88.3%
32	99.2%	99%	99.4%	87.2%	85.8%	88.6%
31	99.2%	99%	99.4%	87.5%	86.2%	88.9%
30	99.2%	99.1%	99.4%	87.8%	86.5%	89.1%
29	99.3%	99.1%	99.4%	88.1%	86.9%	89.4%
28	99.3%	99.2%	99.5%	88.4%	87.2%	89.7%
27	99.3%	99.2%	99.5%	88.7%	87.6%	90%
26	99.4%	99.2%	99.5%	89%	87.9%	90.2%
25	99.4%	99.3%	99.5%	89.3%	88.2%	90.5%
24	99.4%	99.3%	99.5%	89.6%	88.6%	90.7%
23	99.4%	99.4%	99.5%	89.9%	88.9%	90.9%
22	99.5%	99.4%	99.5%	90.2%	89.3%	91.2%
21	99.5%	99.4%	99.6%	90.5%	89.6%	91.4%
20	99.5%	99.5%	99.6%	90.8%	89.9%	91.6%
19	99.5%	99.5%	99.6%	91%	90.2%	91.8%
18	99.6%	99.5%	99.6%	91.2%	90.5%	92%
17	99.6%	99.6%	99.6%	91.4%	90.7%	92.2%
16	99.6%	99.6%	99.6%	91.6%	90.9%	92.4%
15	99.6%	99.6%	99.6%	91.8%	91.1%	92.5%
14	99.6%	99.6%	99.7%	92%	91.3%	92.6%
13	99.6%	99.6%	99.7%	92.1%	91.4%	92.8%
12	99.6%	99.6%	99.7%	92.2%	91.6%	92.9%
11	99.6%	99.6%	99.7%	92.4%	91.7%	93.1%
10	99.7%	99.6%	99.7%	92.6%	91.9%	93.2%
9	99.7%	99.6%	99.7%	92.7%	92.1%	93.4%
8	99.7%	99.6%	99.7%	92.9%	92.3%	93.6%
7	99.7%	99.6%	99.7%	93.2%	92.6%	93.8%
6	99.7%	99.7%	99.7%	93.5%	92.9%	94.1%
5	99.7%	99.7%	99.7%	93.8%	93.2%	94.4%
4	99.7%	99.7%	99.7%	94.2%	93.6%	94.8%
3	99.7%	99.7%	99.7%	94.6%	94.1%	95.2%
2	99.7%	99.7%	99.7%	95.2%	94.7%	95.6%
1	99.7%	99.7%	99.8%	95.7%	95.3%	96.2%

This chart shows the odds of living to each age from birth. 93.4% of newborns in Germany and 71% in Madagascar are expected to live past 60, 84.3% and 55.1% past 70, 66.5% and 28.7% past 80, and only 28.7% and 5.3% 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

Madagascar

Male

Female

1x

Age	Probability of dying
	Germany			Madagascar
	Average	Male	Female	Average	Male	Female
100	38.4%	40.3%	37.9%	43%	45.7%	41.9%
99	35.8%	37.9%	35.2%	41%	43.8%	39.7%
98	33.3%	35.4%	32.6%	39.1%	41.8%	37.9%
97	30.7%	32.9%	30%	37.2%	39.8%	35.9%
96	28.2%	30.5%	27.3%	35.2%	37.8%	33.8%
95	25.7%	28.2%	24.7%	33.1%	35.9%	31.7%
94	23.3%	25.9%	22.2%	31.1%	34%	29.5%
93	21.1%	23.6%	20%	29.1%	32%	27.4%
92	19%	21.3%	17.9%	27.1%	30%	25.4%
91	17%	19.1%	15.9%	25.2%	27.9%	23.6%
90	15.1%	17.1%	14%	23.4%	25.7%	21.9%
89	13.4%	15.4%	12.3%	21.7%	23.6%	20.4%
88	11.9%	13.7%	10.7%	20.1%	21.6%	19%
87	10.5%	12.2%	9.36%	18.5%	19.7%	17.7%
86	9.19%	10.8%	8.11%	17.1%	18.1%	16.4%
85	8.04%	9.54%	6.99%	15.8%	16.6%	15.2%
84	7.01%	8.39%	6.01%	14.5%	15.2%	14%
83	6.11%	7.38%	5.17%	13.3%	14%	12.8%
82	5.32%	6.49%	4.45%	12.2%	12.9%	11.7%
81	4.65%	5.72%	3.83%	11.2%	11.8%	10.7%
80	4.06%	5.05%	3.29%	10.2%	10.8%	9.7%
79	3.56%	4.47%	2.82%	9.26%	9.85%	8.79%
78	3.13%	3.98%	2.44%	8.43%	8.99%	7.97%
77	2.8%	3.59%	2.14%	7.68%	8.2%	7.24%
76	2.53%	3.26%	1.92%	7%	7.48%	6.58%
75	2.31%	2.99%	1.74%	6.38%	6.83%	6%
74	2.12%	2.74%	1.59%	5.82%	6.24%	5.46%
73	1.95%	2.53%	1.45%	5.31%	5.69%	4.97%
72	1.8%	2.34%	1.34%	4.83%	5.19%	4.51%
71	1.67%	2.17%	1.23%	4.39%	4.73%	4.08%
70	1.54%	2.01%	1.12%	3.99%	4.31%	3.69%
69	1.42%	1.86%	1.02%	3.62%	3.93%	3.34%
68	1.32%	1.73%	0.94%	3.3%	3.6%	3.02%
67	1.23%	1.61%	0.86%	3.01%	3.31%	2.74%
66	1.14%	1.49%	0.79%	2.76%	3.05%	2.5%
65	1.05%	1.39%	0.73%	2.53%	2.81%	2.28%
64	0.98%	1.29%	0.67%	2.32%	2.59%	2.07%
63	0.9%	1.19%	0.62%	2.12%	2.37%	1.88%
62	0.82%	1.08%	0.57%	1.93%	2.17%	1.71%
61	0.75%	0.98%	0.52%	1.75%	1.97%	1.55%
60	0.69%	0.89%	0.48%	1.6%	1.8%	1.4%
59	0.62%	0.81%	0.44%	1.46%	1.64%	1.28%
58	0.57%	0.74%	0.39%	1.34%	1.51%	1.18%
57	0.51%	0.66%	0.36%	1.25%	1.41%	1.09%
56	0.46%	0.6%	0.33%	1.18%	1.33%	1.03%
55	0.42%	0.54%	0.29%	1.12%	1.27%	0.97%
54	0.37%	0.48%	0.26%	1.06%	1.21%	0.92%
53	0.33%	0.43%	0.24%	1.01%	1.15%	0.87%
52	0.29%	0.38%	0.21%	0.95%	1.08%	0.82%
51	0.26%	0.33%	0.19%	0.88%	1%	0.76%
50	0.24%	0.3%	0.17%	0.81%	0.93%	0.7%
49	0.21%	0.27%	0.16%	0.75%	0.85%	0.65%
48	0.19%	0.24%	0.14%	0.7%	0.79%	0.61%
47	0.17%	0.21%	0.12%	0.65%	0.74%	0.58%
46	0.15%	0.19%	0.11%	0.62%	0.69%	0.55%
45	0.14%	0.17%	0.1%	0.6%	0.66%	0.54%
44	0.12%	0.16%	0.09%	0.58%	0.64%	0.52%
43	0.11%	0.14%	0.08%	0.56%	0.62%	0.51%
42	0.1%	0.13%	0.07%	0.54%	0.59%	0.49%
41	0.09%	0.12%	0.07%	0.52%	0.57%	0.47%
40	0.09%	0.11%	0.06%	0.5%	0.54%	0.45%
39	0.08%	0.1%	0.06%	0.47%	0.52%	0.43%
38	0.07%	0.09%	0.05%	0.45%	0.49%	0.4%
37	0.07%	0.08%	0.05%	0.43%	0.48%	0.38%
36	0.06%	0.08%	0.04%	0.41%	0.46%	0.37%
35	0.06%	0.07%	0.04%	0.4%	0.45%	0.35%
34	0.05%	0.07%	0.04%	0.39%	0.44%	0.34%
33	0.05%	0.06%	0.03%	0.39%	0.44%	0.34%
32	0.05%	0.06%	0.03%	0.38%	0.43%	0.33%
31	0.04%	0.05%	0.03%	0.37%	0.42%	0.33%
30	0.04%	0.05%	0.03%	0.37%	0.41%	0.32%
29	0.04%	0.05%	0.02%	0.36%	0.4%	0.31%
28	0.03%	0.04%	0.02%	0.35%	0.4%	0.3%
27	0.03%	0.04%	0.02%	0.34%	0.39%	0.29%
26	0.03%	0.04%	0.02%	0.34%	0.39%	0.28%
25	0.03%	0.04%	0.02%	0.33%	0.39%	0.27%
24	0.03%	0.04%	0.02%	0.33%	0.39%	0.26%
23	0.03%	0.04%	0.02%	0.32%	0.39%	0.26%
22	0.03%	0.04%	0.01%	0.32%	0.39%	0.25%
21	0.03%	0.04%	0.01%	0.31%	0.37%	0.24%
20	0.03%	0.04%	0.02%	0.29%	0.35%	0.23%
19	0.03%	0.03%	0.02%	0.28%	0.33%	0.22%
18	0.02%	0.03%	0.01%	0.25%	0.29%	0.21%
17	0.02%	0.03%	0.01%	0.23%	0.26%	0.2%
16	0.02%	0.02%	0.01%	0.21%	0.23%	0.18%
15	0.01%	0.01%	0.01%	0.18%	0.2%	0.17%
14	0.009%	0.01%	0.009%	0.17%	0.18%	0.15%
13	0.008%	0.008%	0.008%	0.16%	0.17%	0.15%
12	0.007%	0.007%	0.007%	0.15%	0.16%	0.15%
11	0.006%	0.006%	0.006%	0.16%	0.17%	0.15%
10	0.006%	0.006%	0.005%	0.17%	0.18%	0.16%
9	0.006%	0.006%	0.005%	0.19%	0.2%	0.18%
8	0.006%	0.007%	0.005%	0.22%	0.24%	0.21%
7	0.006%	0.007%	0.005%	0.26%	0.28%	0.25%
6	0.007%	0.008%	0.006%	0.31%	0.33%	0.29%
5	0.008%	0.008%	0.007%	0.36%	0.38%	0.33%
4	0.008%	0.009%	0.008%	0.41%	0.44%	0.38%
3	0.009%	0.009%	0.008%	0.47%	0.51%	0.43%
2	0.01%	0.01%	0.009%	0.54%	0.58%	0.49%
1	0.03%	0.03%	0.02%	0.62%	0.67%	0.56%
0	0.26%	0.28%	0.24%	4.26%	4.69%	3.82%

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

The annual chance of dying is 0.26% in the birth year in Germany and 4.26% in Madagascar, 0.04% vs 0.37% at age 30, 0.69% vs 1.6% at 60, and 4.06% vs 10.2% at 80.

Death rate by age in Germany vs Madagascar

Chart Table

Germany

Male

Female

Madagascar

Male

Female

1x

Age	Death rate
	Germany			Madagascar
	Total	Male	Female	Total	Male	Female
100	411	149.7	645	0	0	0
99	874	530	1,197	73.5	43.3	104.6
98	1,217	768	1,642	115.2	71	160.6
97	1,623	1,066	2,155	174.2	112.2	237.7
96	2,070	1,421	2,698	254.2	171.5	338
95	2,537	1,824	3,236	358	253.9	464
94	3,012	2,264	3,756	488	364	612
93	3,456	2,699	4,218	643	504	783
92	3,843	3,091	4,602	823	674	973
91	4,141	3,427	4,868	1,025	869	1,181
90	4,341	3,710	4,988	1,242	1,079	1,406
89	4,447	3,930	4,984	1,469	1,295	1,643
88	4,458	4,061	4,878	1,699	1,511	1,889
87	4,390	4,114	4,689	1,926	1,722	2,134
86	4,248	4,095	4,424	2,145	1,924	2,370
85	4,039	3,995	4,101	2,348	2,117	2,585
84	3,788	3,836	3,753	2,528	2,295	2,770
83	3,517	3,640	3,402	2,680	2,454	2,916
82	3,238	3,424	3,062	2,797	2,587	3,019
81	2,964	3,202	2,740	2,877	2,688	3,077
80	2,702	2,979	2,436	2,919	2,756	3,094
79	2,452	2,760	2,150	2,928	2,791	3,076
78	2,230	2,560	1,904	2,909	2,798	3,032
77	2,048	2,391	1,710	2,871	2,780	2,968
76	1,900	2,250	1,561	2,814	2,743	2,889
75	1,777	2,125	1,442	2,742	2,688	2,799
74	1,662	2,004	1,335	2,655	2,617	2,696
73	1,560	1,893	1,240	2,556	2,533	2,580
72	1,471	1,797	1,157	2,444	2,436	2,453
71	1,389	1,705	1,078	2,323	2,330	2,316
70	1,300	1,607	995	2,197	2,219	2,175
69	1,217	1,514	916	2,072	2,109	2,035
68	1,142	1,432	848	1,952	2,002	1,900
67	1,075	1,357	788	1,838	1,902	1,773
66	1,007	1,280	730	1,732	1,807	1,655
65	943	1,205	676	1,630	1,714	1,543
64	884	1,135	627	1,529	1,620	1,435
63	821	1,055	579	1,428	1,523	1,329
62	757	972	534	1,326	1,422	1,226
61	699	895	495	1,226	1,321	1,128
60	642	821	457	1,132	1,225	1,037
59	587	753	416	1,049	1,138	957
58	535	687	378	979	1,065	891
57	487	623	346	924	1,008	838
56	441	563	316	881	964	796
55	398	508	285.7	847	929	761
54	358	456	256.9	814	896	729
53	320	407	231.5	779	860	695
52	284.9	360	208.4	739	817	658
51	254.5	320	188	693	768	616
50	229.5	287.6	170.4	646	715	574
49	207	259.3	153.8	601	664	535
48	185.3	232.3	137.5	561	618	502
47	165.7	208.4	122.3	531	582	478
46	149.1	188.7	108.9	508	554	461
45	134.2	170.5	97.3	492	533	450
44	120.3	152.3	87.5	480	517	442
43	108.4	137.1	78.7	468	502	433
42	99.4	126.7	71	454	486	422
41	91.5	117.1	64.6	438	468	406
40	84.2	107.7	59.5	419	449	388
39	76.9	97.9	54.6	400	430	368
38	70.3	89.5	49.8	382	413	349
37	64.7	83.1	44.9	367	399	333
36	59.4	77	40.6	355	389	320
35	55	71.1	37.8	347	382	310
34	51	65.8	35.2	341	377	303
33	47.6	61.9	32.2	336	373	298.4
32	44.7	58.3	30	332	368	294.1
31	42	54	28.8	327	362	289.8
30	38.5	49.5	26.4	321	356	284.9
29	34.9	45.3	23.4	316	351	279.2
28	32.1	42.4	20.8	310	347	272.4
27	30	40.3	18.5	306	345	264.7
26	28.6	39.3	16.8	302	346	256.5
25	27.6	38.6	15.7	298.5	347	248.1
24	26.9	37.6	15.2	295.5	349	240.3
23	26.2	36.7	15	291.8	348	233.4
22	25.7	36.2	14.6	286.6	344	227.2
21	25.6	36	14.7	278.7	334	221.3
20	26.1	36	15.5	266.9	317	214.6
19	25.3	34.6	15.4	251	294.2	206.2
18	22.9	30.7	14.5	231.5	266.5	195.3
17	19.5	25.1	13.6	209.8	236.7	181.9
16	15.5	18.8	12.1	188.1	208.1	167.4
15	12	13.8	10.2	168.8	183.3	153.6
14	9.35	10.1	8.53	153.8	164.6	142.7
13	7.7	7.78	7.61	144.9	153.2	136.2
12	6.7	6.53	6.87	142.4	149.4	135.2
11	6.08	6.17	5.99	147.3	153.9	140.4
10	5.74	6.23	5.22	159.6	166.5	152.3
9	5.49	6.23	4.71	179.8	187.8	171.4
8	5.54	6.48	4.56	208	217.9	197.7
7	5.96	6.94	4.91	243.5	256.1	230.4
6	6.74	7.49	5.95	285.8	302	269.1
5	7.69	8.09	7.28	334	354	312
4	8.4	8.73	8.05	387	413	361
3	8.73	9.26	8.17	446	478	414
2	10.1	11	9.22	513	552	473
1	27.4	29.9	24.7	590	637	541
0	263.3	281	244.7	4,259	4,688	3,816

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 Madagascar. The median age of death is 85.1 in Germany and 72.2 in Madagascar, 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 Madagascar more than their death rates.

Life expectancy in other countries

+ -

1x