Life Expectancy in Germany vs Madagascar (1950-2025)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in Germany vs Madagascar: 82.3 years vs 71.8 at 30, 85.1 vs 78.9 at 65, 89.2 vs 86 at 80 — significantly higher than the 81.7 vs 64 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Germany and Madagascar.

Table

Current age, years	Total life expectancy, years
	Germany			Madagascar
	Average	Male	Female	Average	Male	Female
0	81.7	79.4	84	64	62.3	65.8
1	81.9	79.7	84.2	66.9	65.4	68.5
2	82	79.7	84.2	67.3	65.9	68.9
3	82	79.7	84.2	67.7	66.2	69.2
4	82	79.7	84.3	68	66.6	69.5
5	82	79.7	84.3	68.3	66.8	69.8
6	82	79.7	84.3	68.5	67.1	70
7	82	79.7	84.3	68.7	67.3	70.2
8	82	79.7	84.3	68.9	67.4	70.3
9	82	79.7	84.3	69	67.6	70.5
10	82	79.7	84.3	69.1	67.7	70.6
11	82	79.7	84.3	69.2	67.8	70.7
12	82	79.7	84.3	69.3	67.9	70.8
13	82	79.7	84.3	69.4	68	70.9
14	82	79.7	84.3	69.5	68.1	70.9
15	82	79.7	84.3	69.6	68.2	71
16	82	79.8	84.3	69.7	68.3	71.1
17	82	79.8	84.3	69.8	68.4	71.2
18	82.1	79.8	84.3	69.9	68.6	71.3
19	82.1	79.8	84.3	70.1	68.7	71.5
20	82.1	79.8	84.4	70.2	68.9	71.6
21	82.1	79.9	84.4	70.4	69.1	71.7
22	82.1	79.9	84.4	70.5	69.2	71.8
23	82.1	79.9	84.4	70.7	69.4	72
24	82.2	79.9	84.4	70.8	69.6	72.1
25	82.2	79.9	84.4	71	69.8	72.2
26	82.2	80	84.4	71.2	70	72.3
27	82.2	80	84.4	71.3	70.1	72.5
28	82.2	80	84.4	71.5	70.3	72.6
29	82.2	80	84.4	71.6	70.5	72.7
30	82.3	80	84.5	71.8	70.6	72.9
31	82.3	80.1	84.5	71.9	70.8	73
32	82.3	80.1	84.5	72.1	71	73.2
33	82.3	80.1	84.5	72.2	71.2	73.3
34	82.3	80.2	84.5	72.4	71.3	73.4
35	82.4	80.2	84.5	72.5	71.5	73.6
36	82.4	80.2	84.6	72.7	71.7	73.7
37	82.4	80.3	84.6	72.8	71.8	73.9
38	82.5	80.3	84.6	73	72	74
39	82.5	80.3	84.6	73.2	72.2	74.1
40	82.5	80.4	84.6	73.3	72.3	74.3
41	82.6	80.4	84.7	73.5	72.5	74.4
42	82.6	80.5	84.7	73.7	72.7	74.6
43	82.6	80.5	84.7	73.8	72.9	74.8
44	82.7	80.6	84.8	74	73.1	74.9
45	82.7	80.6	84.8	74.2	73.2	75.1
46	82.8	80.7	84.8	74.4	73.4	75.3
47	82.8	80.8	84.9	74.5	73.6	75.4
48	82.9	80.8	84.9	74.7	73.8	75.6
49	83	80.9	85	74.9	74	75.8
50	83	81	85	75.1	74.2	75.9
51	83.1	81.1	85.1	75.3	74.4	76.1
52	83.2	81.2	85.2	75.5	74.7	76.3
53	83.3	81.3	85.2	75.7	74.9	76.5
54	83.4	81.4	85.3	76	75.2	76.7
55	83.5	81.6	85.4	76.2	75.4	76.9
56	83.6	81.7	85.5	76.4	75.7	77.1
57	83.7	81.8	85.6	76.7	75.9	77.3
58	83.9	82	85.7	76.9	76.2	77.6
59	84	82.2	85.8	77.2	76.5	77.8
60	84.2	82.4	85.9	77.4	76.8	78
61	84.4	82.6	86	77.7	77.1	78.3
62	84.5	82.8	86.2	78	77.4	78.5
63	84.7	83	86.3	78.3	77.7	78.8
64	84.9	83.3	86.4	78.6	78.1	79.1
65	85.1	83.5	86.6	78.9	78.4	79.4
66	85.3	83.8	86.7	79.3	78.8	79.8
67	85.5	84	86.9	79.7	79.2	80.1
68	85.8	84.3	87.1	80	79.6	80.4
69	86	84.6	87.3	80.4	80	80.8
70	86.2	84.9	87.4	80.8	80.4	81.2
71	86.5	85.2	87.6	81.3	80.9	81.6
72	86.8	85.5	87.8	81.7	81.3	82.1
73	87	85.8	88.1	82.2	81.8	82.5
74	87.3	86.1	88.3	82.7	82.3	83
75	87.6	86.5	88.5	83.2	82.9	83.5
76	87.9	86.8	88.7	83.7	83.4	84
77	88.2	87.2	89	84.3	84	84.5
78	88.5	87.6	89.2	84.8	84.5	85.1
79	88.8	87.9	89.5	85.4	85.1	85.6
80	89.2	88.3	89.8	86	85.7	86.2
81	89.5	88.8	90.1	86.6	86.4	86.8
82	89.9	89.2	90.5	87.3	87	87.5
83	90.4	89.7	90.8	88	87.7	88.1
84	90.8	90.2	91.2	88.6	88.4	88.8
85	91.3	90.7	91.7	89.3	89.1	89.5
86	91.8	91.3	92.2	90.1	89.8	90.3
87	92.4	91.9	92.7	90.8	90.5	91
88	92.9	92.5	93.2	91.6	91.3	91.8
89	93.6	93.2	93.8	92.3	92.1	92.5
90	94.2	93.8	94.4	93.1	92.8	93.3
91	94.8	94.5	95	93.9	93.7	94.1
92	95.5	95.2	95.7	94.7	94.5	94.9
93	96.3	96	96.4	95.6	95.3	95.7
94	97	96.8	97.1	96.4	96.2	96.5
95	97.8	97.6	97.8	97.3	97.1	97.4
96	98.6	98.4	98.6	98.1	98	98.2
97	99.4	99.2	99.4	99	98.9	99.1
98	100.2	100.1	100.2	99.9	99.8	100
99	101	100.9	101.1	100.8	100.7	100.9
100	101.9	101.8	101.9	101.8	101.7	101.8

Odds of living to age in Germany vs Madagascar

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 93.3% in Germany and 70.7% in Madagascar are expected to survive till at least 60 years old, 84% and 54.8% will live to 70 years or older, 66% and 28.5% to 80+ years, and 28.2% and 5.25% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

Age	Survival probability
	Germany			Madagascar
	Average	Male	Female	Average	Male	Female
1	99.7%	99.7%	99.7%	95.7%	95.2%	96.1%
2	99.7%	99.7%	99.7%	95.1%	94.6%	95.5%
3	99.7%	99.7%	99.7%	94.5%	94%	95.1%
4	99.7%	99.7%	99.7%	94.1%	93.5%	94.6%
5	99.7%	99.6%	99.7%	93.7%	93.1%	94.3%
6	99.7%	99.6%	99.7%	93.3%	92.8%	93.9%
7	99.7%	99.6%	99.7%	93%	92.4%	93.7%
8	99.7%	99.6%	99.7%	92.8%	92.2%	93.4%
9	99.6%	99.6%	99.7%	92.6%	92%	93.2%
10	99.6%	99.6%	99.7%	92.4%	91.8%	93.1%
11	99.6%	99.6%	99.7%	92.2%	91.6%	92.9%
12	99.6%	99.6%	99.7%	92.1%	91.4%	92.8%
13	99.6%	99.6%	99.7%	91.9%	91.3%	92.6%
14	99.6%	99.6%	99.6%	91.8%	91.1%	92.5%
15	99.6%	99.6%	99.6%	91.6%	91%	92.3%
16	99.6%	99.6%	99.6%	91.5%	90.8%	92.2%
17	99.6%	99.5%	99.6%	91.3%	90.6%	92%
18	99.6%	99.5%	99.6%	91.1%	90.3%	91.8%
19	99.5%	99.5%	99.6%	90.8%	90.1%	91.6%
20	99.5%	99.4%	99.6%	90.6%	89.8%	91.4%
21	99.5%	99.4%	99.6%	90.3%	89.4%	91.2%
22	99.5%	99.4%	99.5%	90%	89.1%	91%
23	99.4%	99.3%	99.5%	89.7%	88.7%	90.7%
24	99.4%	99.3%	99.5%	89.4%	88.4%	90.5%
25	99.4%	99.3%	99.5%	89.1%	88%	90.2%
26	99.3%	99.2%	99.5%	88.8%	87.7%	90%
27	99.3%	99.2%	99.5%	88.5%	87.3%	89.7%
28	99.3%	99.1%	99.4%	88.2%	87%	89.5%
29	99.2%	99.1%	99.4%	87.9%	86.6%	89.2%
30	99.2%	99%	99.4%	87.6%	86.3%	88.9%
31	99.2%	99%	99.4%	87.2%	85.9%	88.6%
32	99.1%	98.9%	99.3%	86.9%	85.5%	88.3%
33	99.1%	98.9%	99.3%	86.6%	85.2%	88%
34	99%	98.8%	99.3%	86.2%	84.8%	87.7%
35	99%	98.8%	99.2%	85.9%	84.4%	87.4%
36	98.9%	98.7%	99.2%	85.5%	84%	87.1%
37	98.9%	98.6%	99.2%	85.2%	83.6%	86.8%
38	98.8%	98.5%	99.1%	84.8%	83.2%	86.4%
39	98.7%	98.4%	99.1%	84.4%	82.8%	86.1%
40	98.7%	98.3%	99%	84%	82.4%	85.7%
41	98.6%	98.2%	98.9%	83.6%	81.9%	85.3%
42	98.5%	98.1%	98.9%	83.1%	81.5%	84.9%
43	98.4%	98%	98.8%	82.7%	81%	84.5%
44	98.3%	97.8%	98.7%	82.2%	80.5%	84%
45	98.1%	97.7%	98.6%	81.7%	79.9%	83.6%
46	98%	97.5%	98.5%	81.2%	79.4%	83.1%
47	97.9%	97.3%	98.4%	80.7%	78.8%	82.7%
48	97.7%	97.1%	98.3%	80.2%	78.3%	82.2%
49	97.5%	96.9%	98.2%	79.6%	77.6%	81.7%
50	97.3%	96.6%	98%	79%	77%	81.1%
51	97.1%	96.3%	97.8%	78.4%	76.3%	80.6%
52	96.8%	96%	97.7%	77.7%	75.5%	79.9%
53	96.5%	95.6%	97.4%	76.9%	74.7%	79.3%
54	96.2%	95.2%	97.2%	76.1%	73.8%	78.6%
55	95.8%	94.7%	96.9%	75.3%	72.9%	77.8%
56	95.4%	94.2%	96.7%	74.5%	72%	77.1%
57	95%	93.6%	96.3%	73.6%	71%	76.3%
58	94.5%	93%	96%	72.7%	70%	75.4%
59	93.9%	92.3%	95.6%	71.7%	68.9%	74.6%
60	93.3%	91.5%	95.2%	70.7%	67.8%	73.6%
61	92.7%	90.7%	94.7%	69.5%	66.6%	72.6%
62	92%	89.8%	94.2%	68.3%	65.3%	71.4%
63	91.2%	88.8%	93.7%	67%	63.8%	70.2%
64	90.4%	87.7%	93.1%	65.5%	62.3%	68.9%
65	89.5%	86.6%	92.5%	64%	60.7%	67.4%
66	88.5%	85.4%	91.8%	62.4%	59%	65.9%
67	87.5%	84.1%	91%	60.7%	57.2%	64.2%
68	86.4%	82.7%	90.3%	58.8%	55.3%	62.5%
69	85.3%	81.2%	89.4%	56.9%	53.3%	60.6%
70	84%	79.7%	88.5%	54.8%	51.2%	58.6%
71	82.7%	78.1%	87.5%	52.6%	49%	56.4%
72	81.3%	76.3%	86.4%	50.3%	46.7%	54.1%
73	79.8%	74.5%	85.2%	47.9%	44.2%	51.6%
74	78.2%	72.6%	83.9%	45.3%	41.7%	49.1%
75	76.5%	70.5%	82.6%	42.7%	39.1%	46.4%
76	74.7%	68.4%	81.1%	40%	36.4%	43.6%
77	72.8%	66.1%	79.6%	37.2%	33.7%	40.7%
78	70.7%	63.7%	77.8%	34.3%	30.9%	37.8%
79	68.5%	61.1%	75.9%	31.4%	28.2%	34.7%
80	66%	58.3%	73.7%	28.5%	25.4%	31.7%
81	63.2%	55.3%	71.3%	25.6%	22.6%	28.6%
82	60.2%	52%	68.5%	22.7%	20%	25.5%
83	57%	48.6%	65.4%	19.9%	17.4%	22.5%
84	53.5%	44.9%	62%	17.3%	15%	19.6%
85	49.7%	41.1%	58.2%	14.8%	12.7%	16.9%
86	45.6%	37.1%	54.1%	12.4%	10.6%	14.3%
87	41.4%	33%	49.7%	10.3%	8.66%	12%
88	37%	29%	45%	8.39%	6.95%	9.85%
89	32.6%	24.9%	40.1%	6.71%	5.45%	7.98%
90	28.2%	21.1%	35.1%	5.25%	4.16%	6.35%
91	23.9%	17.4%	30.2%	4.02%	3.09%	4.96%
92	19.8%	14.1%	25.3%	3%	2.23%	3.79%
93	16%	11%	20.8%	2.19%	1.56%	2.83%
94	12.6%	8.42%	16.6%	1.55%	1.06%	2.05%
95	9.64%	6.23%	12.9%	1.07%	0.7%	1.45%
96	7.16%	4.46%	9.71%	0.71%	0.45%	0.99%
97	5.14%	3.09%	7.05%	0.46%	0.28%	0.65%
98	3.56%	2.07%	4.93%	0.29%	0.17%	0.42%
99	2.37%	1.33%	3.32%	0.18%	0.1%	0.26%
100	1.52%	0.83%	2.15%	0.1%	0.05%	0.16%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 0.27% in the birth year in Germany and 4.34% in Madagascar, 0.04% vs 0.37% at age 30, 0.7% vs 1.6% at 60, and 4.14% vs 10.2% at 80.

Below is a graph displaying the probabilities of dying in Germany compared to Madagascar at any given age.

Table

Age	Probability of dying
	Germany			Madagascar
	Average	Male	Female	Average	Male	Female
0	0.27%	0.29%	0.25%	4.34%	4.76%	3.9%
1	0.03%	0.03%	0.03%	0.63%	0.68%	0.58%
2	0.01%	0.01%	0.009%	0.55%	0.59%	0.51%
3	0.009%	0.01%	0.008%	0.48%	0.52%	0.45%
4	0.009%	0.009%	0.008%	0.42%	0.45%	0.39%
5	0.008%	0.008%	0.007%	0.36%	0.39%	0.34%
6	0.007%	0.008%	0.006%	0.31%	0.33%	0.29%
7	0.006%	0.007%	0.005%	0.27%	0.28%	0.25%
8	0.006%	0.007%	0.005%	0.23%	0.24%	0.22%
9	0.006%	0.006%	0.005%	0.2%	0.21%	0.19%
10	0.006%	0.006%	0.005%	0.18%	0.19%	0.17%
11	0.006%	0.006%	0.006%	0.16%	0.17%	0.16%
12	0.007%	0.007%	0.007%	0.16%	0.17%	0.15%
13	0.008%	0.008%	0.008%	0.16%	0.17%	0.15%
14	0.01%	0.01%	0.009%	0.17%	0.18%	0.16%
15	0.01%	0.01%	0.01%	0.19%	0.21%	0.17%
16	0.02%	0.02%	0.01%	0.21%	0.23%	0.19%
17	0.02%	0.03%	0.01%	0.23%	0.27%	0.2%
18	0.02%	0.03%	0.01%	0.26%	0.3%	0.22%
19	0.03%	0.04%	0.02%	0.28%	0.33%	0.23%
20	0.03%	0.04%	0.02%	0.3%	0.36%	0.24%
21	0.03%	0.04%	0.01%	0.31%	0.38%	0.25%
22	0.03%	0.04%	0.01%	0.32%	0.39%	0.26%
23	0.03%	0.04%	0.02%	0.33%	0.4%	0.26%
24	0.03%	0.04%	0.02%	0.34%	0.4%	0.27%
25	0.03%	0.04%	0.02%	0.34%	0.4%	0.28%
26	0.03%	0.04%	0.02%	0.35%	0.4%	0.29%
27	0.03%	0.04%	0.02%	0.35%	0.4%	0.3%
28	0.03%	0.04%	0.02%	0.36%	0.41%	0.31%
29	0.04%	0.05%	0.02%	0.37%	0.41%	0.32%
30	0.04%	0.05%	0.03%	0.37%	0.42%	0.33%
31	0.04%	0.06%	0.03%	0.38%	0.43%	0.33%
32	0.05%	0.06%	0.03%	0.39%	0.44%	0.34%
33	0.05%	0.06%	0.03%	0.39%	0.44%	0.34%
34	0.05%	0.07%	0.04%	0.4%	0.45%	0.35%
35	0.06%	0.07%	0.04%	0.41%	0.46%	0.36%
36	0.06%	0.08%	0.04%	0.42%	0.47%	0.37%
37	0.07%	0.09%	0.05%	0.44%	0.48%	0.39%
38	0.07%	0.09%	0.05%	0.46%	0.5%	0.41%
39	0.08%	0.1%	0.06%	0.48%	0.52%	0.43%
40	0.09%	0.11%	0.06%	0.5%	0.55%	0.46%
41	0.09%	0.12%	0.07%	0.53%	0.58%	0.48%
42	0.1%	0.13%	0.07%	0.55%	0.6%	0.5%
43	0.11%	0.14%	0.08%	0.57%	0.62%	0.52%
44	0.12%	0.16%	0.09%	0.59%	0.65%	0.53%
45	0.14%	0.18%	0.1%	0.61%	0.67%	0.54%
46	0.15%	0.2%	0.11%	0.63%	0.7%	0.56%
47	0.17%	0.22%	0.13%	0.66%	0.74%	0.58%
48	0.19%	0.24%	0.14%	0.7%	0.79%	0.62%
49	0.22%	0.27%	0.16%	0.76%	0.86%	0.66%
50	0.24%	0.3%	0.18%	0.82%	0.93%	0.71%
51	0.27%	0.34%	0.19%	0.89%	1.01%	0.77%
52	0.3%	0.38%	0.22%	0.95%	1.09%	0.83%
53	0.34%	0.43%	0.24%	1.02%	1.15%	0.88%
54	0.38%	0.49%	0.27%	1.07%	1.22%	0.93%
55	0.42%	0.54%	0.3%	1.13%	1.28%	0.98%
56	0.47%	0.61%	0.33%	1.18%	1.34%	1.03%
57	0.52%	0.68%	0.36%	1.26%	1.42%	1.1%
58	0.57%	0.75%	0.4%	1.35%	1.52%	1.18%
59	0.63%	0.83%	0.44%	1.46%	1.65%	1.28%
60	0.7%	0.91%	0.48%	1.6%	1.8%	1.41%
61	0.76%	1%	0.53%	1.76%	1.98%	1.55%
62	0.83%	1.1%	0.57%	1.94%	2.18%	1.72%
63	0.91%	1.21%	0.62%	2.13%	2.38%	1.89%
64	0.99%	1.31%	0.68%	2.33%	2.59%	2.08%
65	1.07%	1.41%	0.74%	2.54%	2.82%	2.29%
66	1.15%	1.52%	0.8%	2.77%	3.05%	2.51%
67	1.25%	1.64%	0.87%	3.02%	3.32%	2.76%
68	1.34%	1.76%	0.95%	3.31%	3.61%	3.04%
69	1.45%	1.89%	1.04%	3.63%	3.94%	3.35%
70	1.57%	2.05%	1.14%	4%	4.32%	3.71%
71	1.7%	2.22%	1.25%	4.4%	4.74%	4.1%
72	1.84%	2.39%	1.36%	4.84%	5.2%	4.52%
73	1.99%	2.58%	1.47%	5.32%	5.7%	4.98%
74	2.16%	2.81%	1.61%	5.83%	6.25%	5.47%
75	2.36%	3.06%	1.77%	6.4%	6.84%	6.01%
76	2.59%	3.34%	1.95%	7.01%	7.49%	6.6%
77	2.86%	3.67%	2.18%	7.69%	8.21%	7.26%
78	3.2%	4.08%	2.47%	8.44%	9%	7.99%
79	3.62%	4.58%	2.86%	9.27%	9.86%	8.81%
80	4.14%	5.17%	3.34%	10.2%	10.8%	9.71%
81	4.73%	5.84%	3.88%	11.2%	11.8%	10.7%
82	5.41%	6.62%	4.5%	12.2%	12.9%	11.7%
83	6.2%	7.52%	5.23%	13.4%	14%	12.9%
84	7.1%	8.54%	6.08%	14.5%	15.3%	14%
85	8.14%	9.7%	7.07%	15.8%	16.6%	15.2%
86	9.3%	11%	8.19%	17.1%	18.1%	16.4%
87	10.6%	12.4%	9.44%	18.6%	19.8%	17.7%
88	12%	13.9%	10.8%	20.1%	21.6%	19%
89	13.5%	15.5%	12.4%	21.7%	23.6%	20.4%
90	15.3%	17.3%	14.1%	23.5%	25.7%	21.9%
91	17.1%	19.3%	16%	25.3%	27.9%	23.6%
92	19.1%	21.5%	18%	27.2%	30%	25.4%
93	21.2%	23.8%	20.1%	29.1%	32%	27.4%
94	23.4%	26.1%	22.3%	31.1%	34%	29.5%
95	25.8%	28.3%	24.7%	33.2%	35.9%	31.7%
96	28.2%	30.7%	27.4%	35.2%	37.9%	33.9%
97	30.8%	33.1%	30%	37.2%	39.8%	36%
98	33.3%	35.5%	32.7%	39.2%	41.8%	37.9%
99	35.9%	38%	35.3%	41%	43.8%	39.8%
100	38.4%	40.4%	38%	43.1%	45.8%	41.9%

Death rate by age in Germany compared to Madagascar

In Germany, the most common age of death is 88, compared to 0 in Madagascar. The median age of death is 84.9 in Germany and 72.1 in Madagascar — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Germany			Madagascar
	Total	Male	Female	Total	Male	Female
0	272.1	292.4	250.7	4,339	4,763	3,901
1	28.1	30.9	25.2	602	648	554
2	10.5	11.5	9.45	524	562	485
3	9.02	9.63	8.37	456	487	424
4	8.66	9.05	8.24	396	421	370
5	7.93	8.39	7.44	342	361	321
6	6.95	7.77	6.09	292.6	308	276.4
7	6.15	7.21	5.03	249.3	261.4	236.7
8	5.72	6.72	4.66	212.9	222.4	203.1
9	5.65	6.45	4.81	184	191.6	176.1
10	5.9	6.44	5.33	163.2	169.8	156.4
11	6.24	6.37	6.1	150.6	156.9	144.1
12	6.86	6.73	7	145.6	152.3	138.6
13	7.88	8.01	7.75	148	156	139.6
14	9.57	10.4	8.68	157.1	167.6	146.2
15	12.3	14.2	10.3	172.3	186.7	157.4
16	15.9	19.4	12.3	192.1	212	171.5
17	20	25.8	13.9	214.1	241	186.2
18	23.5	31.7	14.8	236.2	271.3	200
19	25.9	35.6	15.7	256	299.5	211.1
20	26.7	37.1	15.8	272.1	323	219.6
21	26.3	37	14.9	284.1	340	226.3
22	26.4	37.2	14.9	292.1	350	232.2
23	26.9	37.8	15.3	297.3	354	238.5
24	27.6	38.7	15.5	301	355	245.5
25	28.4	39.7	15.9	304	353	253.4
26	29.3	40.4	17.1	307	351	261.8
27	30.7	41.4	18.8	311	351	270.1
28	32.8	43.4	21.1	316	353	277.9
29	35.6	46.4	23.7	321	356	284.6
30	39.3	50.6	26.8	327	362	290.3
31	42.8	55.3	29.2	332	367	295.1
32	45.6	59.7	30.4	337	373	299.3
33	48.6	63.3	32.6	341	377	303
34	52	67.3	35.7	346	382	308
35	56.1	72.7	38.3	352	387	315
36	60.6	78.8	41.2	360	394	325
37	65.9	85	45.5	371	404	338
38	71.6	91.5	50.5	386	417	354
39	78.3	100	55.4	404	434	373
40	85.7	110	60.3	423	453	393
41	93.1	119.6	65.5	442	472	411
42	101.2	129.5	71.9	459	489	426
43	110.3	140.1	79.7	472	505	438
44	122.4	155.5	88.6	484	520	446
45	136.6	174	98.6	496	536	454
46	151.7	192.5	110.2	511	557	464
47	168.6	212.6	123.8	534	585	481
48	188.4	236.8	139.2	564	621	506
49	210.5	264.2	155.7	603	666	538
50	233.2	293	172.4	649	718	577
51	258.5	326	190.2	696	770	619
52	289.5	367	210.7	741	819	661
53	325	414	234	781	862	698
54	363	464	259.6	816	897	732
55	404	516	288.7	848	930	764
56	448	572	319	882	964	798
57	494	633	350	925	1,007	839
58	543	698	382	979	1,064	892
59	595	764	420	1,049	1,136	958
60	651	833	461	1,132	1,223	1,038
61	708	908	500	1,225	1,319	1,128
62	767	987	539	1,324	1,420	1,226
63	831	1,071	584	1,426	1,520	1,329
64	896	1,152	634	1,526	1,617	1,434
65	956	1,224	683	1,627	1,710	1,541
66	1,022	1,300	738	1,728	1,802	1,652
67	1,090	1,379	796	1,834	1,896	1,770
68	1,159	1,456	858	1,947	1,996	1,896
69	1,233	1,539	927	2,066	2,102	2,030
70	1,318	1,634	1,006	2,190	2,212	2,170
71	1,408	1,734	1,090	2,315	2,321	2,310
72	1,493	1,827	1,171	2,435	2,427	2,445
73	1,584	1,925	1,256	2,546	2,523	2,571
74	1,689	2,037	1,352	2,645	2,607	2,686
75	1,806	2,160	1,460	2,731	2,676	2,787
76	1,932	2,286	1,580	2,801	2,730	2,877
77	2,079	2,428	1,731	2,856	2,767	2,954
78	2,260	2,596	1,926	2,895	2,784	3,017
79	2,480	2,794	2,173	2,913	2,777	3,060
80	2,730	3,010	2,459	2,903	2,742	3,077
81	2,993	3,228	2,764	2,861	2,674	3,059
82	3,262	3,444	3,084	2,781	2,572	3,000
83	3,533	3,652	3,423	2,664	2,440	2,897
84	3,797	3,839	3,771	2,513	2,281	2,751
85	4,040	3,987	4,115	2,332	2,103	2,567
86	4,241	4,074	4,432	2,130	1,911	2,352
87	4,374	4,081	4,691	1,913	1,710	2,117
88	4,432	4,016	4,871	1,687	1,501	1,873
89	4,410	3,874	4,969	1,458	1,286	1,629
90	4,295	3,645	4,964	1,232	1,070	1,393
91	4,088	3,356	4,836	1,016	861	1,170
92	3,784	3,017	4,563	816	668	963
93	3,396	2,625	4,175	637	500	775
94	2,953	2,195	3,710	483	360	606
95	2,484	1,763	3,192	354	251.2	459
96	2,022	1,369	2,656	251.2	169.6	335
97	1,583	1,024	2,118	172	110.8	234.8
98	1,184	736	1,611	113.6	70.1	158.6
99	850	506	1,173	72.4	42.7	103.2
100	393	135.7	625	0	0	0

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about Germany and Madagascar demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• Germany vs Madagascar: Facts and Figures

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size