Life Expectancy in Germany vs Philippines (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 the Philippines: 82.3 years vs 73.1 at 30, 85.1 vs 79.2 at 65, 89.2 vs 86.2 at 80 — significantly higher than the 81.7 vs 70.1 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 the Philippines.

Table

Current age, years	Total life expectancy, years
	Germany			Philippines
	Average	Male	Female	Average	Male	Female
0	81.7	79.4	84	70.1	67.1	73.1
1	81.9	79.7	84.2	71.5	68.5	74.4
2	82	79.7	84.2	71.6	68.7	74.6
3	82	79.7	84.2	71.8	68.9	74.7
4	82	79.7	84.3	71.9	68.9	74.8
5	82	79.7	84.3	71.9	69	74.9
6	82	79.7	84.3	72	69	74.9
7	82	79.7	84.3	72	69.1	75
8	82	79.7	84.3	72	69.1	75
9	82	79.7	84.3	72	69.1	75
10	82	79.7	84.3	72.1	69.2	75
11	82	79.7	84.3	72.1	69.2	75.1
12	82	79.7	84.3	72.1	69.2	75.1
13	82	79.7	84.3	72.1	69.2	75.1
14	82	79.7	84.3	72.2	69.3	75.1
15	82	79.7	84.3	72.2	69.3	75.2
16	82	79.8	84.3	72.2	69.3	75.2
17	82	79.8	84.3	72.3	69.4	75.2
18	82.1	79.8	84.3	72.3	69.4	75.2
19	82.1	79.8	84.3	72.4	69.5	75.3
20	82.1	79.8	84.4	72.4	69.5	75.3
21	82.1	79.9	84.4	72.5	69.6	75.4
22	82.1	79.9	84.4	72.5	69.7	75.4
23	82.1	79.9	84.4	72.6	69.8	75.4
24	82.2	79.9	84.4	72.6	69.8	75.5
25	82.2	79.9	84.4	72.7	69.9	75.5
26	82.2	80	84.4	72.8	70	75.6
27	82.2	80	84.4	72.8	70.1	75.6
28	82.2	80	84.4	72.9	70.2	75.7
29	82.2	80	84.4	73	70.3	75.7
30	82.3	80	84.5	73.1	70.4	75.8
31	82.3	80.1	84.5	73.1	70.5	75.8
32	82.3	80.1	84.5	73.2	70.6	75.9
33	82.3	80.1	84.5	73.3	70.7	75.9
34	82.3	80.2	84.5	73.4	70.8	76
35	82.4	80.2	84.5	73.5	70.9	76
36	82.4	80.2	84.6	73.5	71	76.1
37	82.4	80.3	84.6	73.6	71.1	76.2
38	82.5	80.3	84.6	73.7	71.2	76.2
39	82.5	80.3	84.6	73.8	71.3	76.3
40	82.5	80.4	84.6	74	71.5	76.4
41	82.6	80.4	84.7	74.1	71.6	76.5
42	82.6	80.5	84.7	74.2	71.7	76.6
43	82.6	80.5	84.7	74.3	71.9	76.7
44	82.7	80.6	84.8	74.4	72	76.8
45	82.7	80.6	84.8	74.6	72.2	76.9
46	82.8	80.7	84.8	74.7	72.4	77
47	82.8	80.8	84.9	74.9	72.5	77.1
48	82.9	80.8	84.9	75	72.7	77.2
49	83	80.9	85	75.2	72.9	77.4
50	83	81	85	75.4	73.2	77.5
51	83.1	81.1	85.1	75.6	73.4	77.6
52	83.2	81.2	85.2	75.8	73.6	77.8
53	83.3	81.3	85.2	76	73.8	78
54	83.4	81.4	85.3	76.2	74.1	78.1
55	83.5	81.6	85.4	76.4	74.3	78.3
56	83.6	81.7	85.5	76.6	74.6	78.5
57	83.7	81.8	85.6	76.9	74.9	78.6
58	83.9	82	85.7	77.1	75.2	78.8
59	84	82.2	85.8	77.4	75.5	79
60	84.2	82.4	85.9	77.6	75.8	79.2
61	84.4	82.6	86	77.9	76.2	79.5
62	84.5	82.8	86.2	78.2	76.5	79.7
63	84.7	83	86.3	78.5	76.9	79.9
64	84.9	83.3	86.4	78.8	77.3	80.2
65	85.1	83.5	86.6	79.2	77.6	80.4
66	85.3	83.8	86.7	79.5	78.1	80.7
67	85.5	84	86.9	79.9	78.5	81
68	85.8	84.3	87.1	80.3	78.9	81.3
69	86	84.6	87.3	80.6	79.4	81.6
70	86.2	84.9	87.4	81.1	79.9	81.9
71	86.5	85.2	87.6	81.5	80.4	82.3
72	86.8	85.5	87.8	81.9	80.9	82.7
73	87	85.8	88.1	82.4	81.4	83.1
74	87.3	86.1	88.3	82.9	81.9	83.5
75	87.6	86.5	88.5	83.4	82.5	83.9
76	87.9	86.8	88.7	83.9	83.1	84.4
77	88.2	87.2	89	84.5	83.7	84.9
78	88.5	87.6	89.2	85	84.3	85.4
79	88.8	87.9	89.5	85.6	84.9	86
80	89.2	88.3	89.8	86.2	85.6	86.5
81	89.5	88.8	90.1	86.8	86.3	87.1
82	89.9	89.2	90.5	87.5	87	87.7
83	90.4	89.7	90.8	88.1	87.7	88.3
84	90.8	90.2	91.2	88.8	88.4	89
85	91.3	90.7	91.7	89.5	89.1	89.7
86	91.8	91.3	92.2	90.2	89.9	90.4
87	92.4	91.9	92.7	90.9	90.6	91.1
88	92.9	92.5	93.2	91.7	91.4	91.8
89	93.6	93.2	93.8	92.5	92.2	92.6
90	94.2	93.8	94.4	93.3	93	93.3
91	94.8	94.5	95	94	93.8	94.1
92	95.5	95.2	95.7	94.9	94.7	94.9
93	96.3	96	96.4	95.7	95.5	95.7
94	97	96.8	97.1	96.5	96.4	96.5
95	97.8	97.6	97.8	97.3	97.2	97.4
96	98.6	98.4	98.6	98.2	98.1	98.2
97	99.4	99.2	99.4	99.1	99	99.1
98	100.2	100.1	100.2	100	99.9	100
99	101	100.9	101.1	100.9	100.8	100.9
100	101.9	101.8	101.9	101.9	101.7	101.9

Odds of living to age in Germany vs Philippines

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 93.3% in Germany and 79.5% in the Philippines are expected to survive till at least 60 years old, 84% and 62% will live to 70 years or older, 66% and 32.8% to 80+ years, and 28.2% and 6.53% 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			Philippines
	Average	Male	Female	Average	Male	Female
1	99.7%	99.7%	99.7%	98.1%	97.9%	98.2%
2	99.7%	99.7%	99.7%	97.8%	97.6%	98%
3	99.7%	99.7%	99.7%	97.6%	97.4%	97.8%
4	99.7%	99.7%	99.7%	97.5%	97.3%	97.7%
5	99.7%	99.6%	99.7%	97.4%	97.2%	97.6%
6	99.7%	99.6%	99.7%	97.3%	97.1%	97.5%
7	99.7%	99.6%	99.7%	97.3%	97.1%	97.5%
8	99.7%	99.6%	99.7%	97.2%	97.1%	97.5%
9	99.6%	99.6%	99.7%	97.2%	97%	97.4%
10	99.6%	99.6%	99.7%	97.2%	97%	97.4%
11	99.6%	99.6%	99.7%	97.1%	96.9%	97.4%
12	99.6%	99.6%	99.7%	97.1%	96.9%	97.3%
13	99.6%	99.6%	99.7%	97.1%	96.9%	97.3%
14	99.6%	99.6%	99.6%	97%	96.8%	97.2%
15	99.6%	99.6%	99.6%	97%	96.7%	97.2%
16	99.6%	99.6%	99.6%	96.9%	96.7%	97.2%
17	99.6%	99.5%	99.6%	96.8%	96.6%	97.1%
18	99.6%	99.5%	99.6%	96.8%	96.5%	97%
19	99.5%	99.5%	99.6%	96.7%	96.4%	97%
20	99.5%	99.4%	99.6%	96.6%	96.3%	96.9%
21	99.5%	99.4%	99.6%	96.5%	96.1%	96.9%
22	99.5%	99.4%	99.5%	96.4%	96%	96.8%
23	99.4%	99.3%	99.5%	96.3%	95.8%	96.7%
24	99.4%	99.3%	99.5%	96.1%	95.7%	96.6%
25	99.4%	99.3%	99.5%	96%	95.5%	96.5%
26	99.3%	99.2%	99.5%	95.9%	95.3%	96.5%
27	99.3%	99.2%	99.5%	95.7%	95.1%	96.4%
28	99.3%	99.1%	99.4%	95.6%	94.9%	96.3%
29	99.2%	99.1%	99.4%	95.4%	94.7%	96.2%
30	99.2%	99%	99.4%	95.3%	94.5%	96.1%
31	99.2%	99%	99.4%	95.1%	94.3%	96%
32	99.1%	98.9%	99.3%	94.9%	94%	95.9%
33	99.1%	98.9%	99.3%	94.7%	93.8%	95.7%
34	99%	98.8%	99.3%	94.5%	93.5%	95.6%
35	99%	98.8%	99.2%	94.3%	93.3%	95.5%
36	98.9%	98.7%	99.2%	94.1%	93%	95.3%
37	98.9%	98.6%	99.2%	93.9%	92.7%	95.1%
38	98.8%	98.5%	99.1%	93.6%	92.3%	94.9%
39	98.7%	98.4%	99.1%	93.3%	92%	94.7%
40	98.7%	98.3%	99%	93%	91.6%	94.5%
41	98.6%	98.2%	98.9%	92.7%	91.2%	94.3%
42	98.5%	98.1%	98.9%	92.4%	90.8%	94.1%
43	98.4%	98%	98.8%	92%	90.3%	93.8%
44	98.3%	97.8%	98.7%	91.7%	89.9%	93.5%
45	98.1%	97.7%	98.6%	91.3%	89.3%	93.2%
46	98%	97.5%	98.5%	90.8%	88.8%	92.9%
47	97.9%	97.3%	98.4%	90.3%	88.2%	92.6%
48	97.7%	97.1%	98.3%	89.8%	87.5%	92.2%
49	97.5%	96.9%	98.2%	89.2%	86.8%	91.8%
50	97.3%	96.6%	98%	88.6%	86%	91.3%
51	97.1%	96.3%	97.8%	87.9%	85.2%	90.8%
52	96.8%	96%	97.7%	87.2%	84.3%	90.3%
53	96.5%	95.6%	97.4%	86.5%	83.4%	89.7%
54	96.2%	95.2%	97.2%	85.7%	82.3%	89.1%
55	95.8%	94.7%	96.9%	84.8%	81.3%	88.5%
56	95.4%	94.2%	96.7%	83.9%	80.1%	87.8%
57	95%	93.6%	96.3%	82.9%	78.9%	87.1%
58	94.5%	93%	96%	81.8%	77.6%	86.3%
59	93.9%	92.3%	95.6%	80.7%	76.2%	85.5%
60	93.3%	91.5%	95.2%	79.5%	74.7%	84.6%
61	92.7%	90.7%	94.7%	78.2%	73.1%	83.6%
62	92%	89.8%	94.2%	76.9%	71.4%	82.6%
63	91.2%	88.8%	93.7%	75.4%	69.6%	81.5%
64	90.4%	87.7%	93.1%	73.9%	67.7%	80.3%
65	89.5%	86.6%	92.5%	72.2%	65.6%	79%
66	88.5%	85.4%	91.8%	70.4%	63.5%	77.6%
67	87.5%	84.1%	91%	68.5%	61.2%	76.1%
68	86.4%	82.7%	90.3%	66.5%	58.9%	74.4%
69	85.3%	81.2%	89.4%	64.3%	56.4%	72.6%
70	84%	79.7%	88.5%	62%	53.8%	70.6%
71	82.7%	78.1%	87.5%	59.6%	51.1%	68.4%
72	81.3%	76.3%	86.4%	57%	48.3%	66.1%
73	79.8%	74.5%	85.2%	54.3%	45.4%	63.6%
74	78.2%	72.6%	83.9%	51.5%	42.5%	60.9%
75	76.5%	70.5%	82.6%	48.6%	39.5%	58%
76	74.7%	68.4%	81.1%	45.5%	36.4%	55%
77	72.8%	66.1%	79.6%	42.4%	33.4%	51.7%
78	70.7%	63.7%	77.8%	39.2%	30.4%	48.4%
79	68.5%	61.1%	75.9%	36%	27.4%	44.9%
80	66%	58.3%	73.7%	32.8%	24.5%	41.3%
81	63.2%	55.3%	71.3%	29.6%	21.6%	37.7%
82	60.2%	52%	68.5%	26.5%	18.9%	34%
83	57%	48.6%	65.4%	23.4%	16.3%	30.3%
84	53.5%	44.9%	62%	20.4%	13.9%	26.7%
85	49.7%	41.1%	58.2%	17.6%	11.7%	23.2%
86	45.6%	37.1%	54.1%	14.9%	9.67%	19.9%
87	41.4%	33%	49.7%	12.5%	7.87%	16.8%
88	37%	29%	45%	10.2%	6.3%	13.9%
89	32.6%	24.9%	40.1%	8.25%	4.94%	11.3%
90	28.2%	21.1%	35.1%	6.53%	3.81%	9.05%
91	23.9%	17.4%	30.2%	5.07%	2.87%	7.09%
92	19.8%	14.1%	25.3%	3.85%	2.12%	5.43%
93	16%	11%	20.8%	2.85%	1.52%	4.06%
94	12.6%	8.42%	16.6%	2.07%	1.07%	2.97%
95	9.64%	6.23%	12.9%	1.46%	0.73%	2.11%
96	7.16%	4.46%	9.71%	0.99%	0.49%	1.45%
97	5.14%	3.09%	7.05%	0.66%	0.31%	0.96%
98	3.56%	2.07%	4.93%	0.42%	0.19%	0.62%
99	2.37%	1.33%	3.32%	0.25%	0.12%	0.38%
100	1.52%	0.83%	2.15%	0.15%	0.07%	0.22%

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 1.94% in the Philippines, 0.04% vs 0.18% at age 30, 0.7% vs 1.61% at 60, and 4.14% vs 9.75% at 80.

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

Table

Age	Probability of dying
	Germany			Philippines
	Average	Male	Female	Average	Male	Female
0	0.27%	0.29%	0.25%	1.94%	2.11%	1.76%
1	0.03%	0.03%	0.03%	0.27%	0.28%	0.26%
2	0.01%	0.01%	0.009%	0.18%	0.19%	0.18%
3	0.009%	0.01%	0.008%	0.13%	0.13%	0.12%
4	0.009%	0.009%	0.008%	0.09%	0.09%	0.09%
5	0.008%	0.008%	0.007%	0.07%	0.07%	0.06%
6	0.007%	0.008%	0.006%	0.05%	0.05%	0.05%
7	0.006%	0.007%	0.005%	0.04%	0.04%	0.04%
8	0.006%	0.007%	0.005%	0.04%	0.04%	0.04%
9	0.006%	0.006%	0.005%	0.04%	0.04%	0.03%
10	0.006%	0.006%	0.005%	0.04%	0.04%	0.03%
11	0.006%	0.006%	0.006%	0.04%	0.04%	0.04%
12	0.007%	0.007%	0.007%	0.04%	0.05%	0.04%
13	0.008%	0.008%	0.008%	0.05%	0.05%	0.04%
14	0.01%	0.01%	0.009%	0.05%	0.06%	0.04%
15	0.01%	0.01%	0.01%	0.06%	0.07%	0.05%
16	0.02%	0.02%	0.01%	0.07%	0.08%	0.05%
17	0.02%	0.03%	0.01%	0.08%	0.1%	0.06%
18	0.02%	0.03%	0.01%	0.09%	0.11%	0.06%
19	0.03%	0.04%	0.02%	0.09%	0.12%	0.07%
20	0.03%	0.04%	0.02%	0.1%	0.14%	0.07%
21	0.03%	0.04%	0.01%	0.11%	0.15%	0.07%
22	0.03%	0.04%	0.01%	0.12%	0.16%	0.08%
23	0.03%	0.04%	0.02%	0.13%	0.17%	0.08%
24	0.03%	0.04%	0.02%	0.13%	0.18%	0.08%
25	0.03%	0.04%	0.02%	0.14%	0.19%	0.09%
26	0.03%	0.04%	0.02%	0.15%	0.2%	0.09%
27	0.03%	0.04%	0.02%	0.15%	0.21%	0.1%
28	0.03%	0.04%	0.02%	0.16%	0.22%	0.1%
29	0.04%	0.05%	0.02%	0.17%	0.23%	0.11%
30	0.04%	0.05%	0.03%	0.18%	0.24%	0.11%
31	0.04%	0.06%	0.03%	0.19%	0.25%	0.12%
32	0.05%	0.06%	0.03%	0.2%	0.26%	0.13%
33	0.05%	0.06%	0.03%	0.21%	0.28%	0.14%
34	0.05%	0.07%	0.04%	0.23%	0.3%	0.15%
35	0.06%	0.07%	0.04%	0.24%	0.32%	0.16%
36	0.06%	0.08%	0.04%	0.26%	0.34%	0.18%
37	0.07%	0.09%	0.05%	0.28%	0.36%	0.19%
38	0.07%	0.09%	0.05%	0.29%	0.38%	0.2%
39	0.08%	0.1%	0.06%	0.31%	0.4%	0.22%
40	0.09%	0.11%	0.06%	0.33%	0.43%	0.24%
41	0.09%	0.12%	0.07%	0.36%	0.46%	0.25%
42	0.1%	0.13%	0.07%	0.38%	0.49%	0.27%
43	0.11%	0.14%	0.08%	0.41%	0.53%	0.3%
44	0.12%	0.16%	0.09%	0.45%	0.58%	0.32%
45	0.14%	0.18%	0.1%	0.49%	0.63%	0.35%
46	0.15%	0.2%	0.11%	0.54%	0.69%	0.38%
47	0.17%	0.22%	0.13%	0.58%	0.75%	0.42%
48	0.19%	0.24%	0.14%	0.64%	0.82%	0.45%
49	0.22%	0.27%	0.16%	0.69%	0.89%	0.49%
50	0.24%	0.3%	0.18%	0.75%	0.96%	0.53%
51	0.27%	0.34%	0.19%	0.81%	1.04%	0.57%
52	0.3%	0.38%	0.22%	0.87%	1.12%	0.62%
53	0.34%	0.43%	0.24%	0.94%	1.21%	0.66%
54	0.38%	0.49%	0.27%	1.01%	1.31%	0.71%
55	0.42%	0.54%	0.3%	1.09%	1.42%	0.77%
56	0.47%	0.61%	0.33%	1.18%	1.54%	0.83%
57	0.52%	0.68%	0.36%	1.27%	1.67%	0.89%
58	0.57%	0.75%	0.4%	1.37%	1.81%	0.96%
59	0.63%	0.83%	0.44%	1.49%	1.96%	1.04%
60	0.7%	0.91%	0.48%	1.61%	2.13%	1.13%
61	0.76%	1%	0.53%	1.75%	2.32%	1.23%
62	0.83%	1.1%	0.57%	1.9%	2.52%	1.34%
63	0.91%	1.21%	0.62%	2.07%	2.75%	1.46%
64	0.99%	1.31%	0.68%	2.25%	2.99%	1.6%
65	1.07%	1.41%	0.74%	2.47%	3.26%	1.78%
66	1.15%	1.52%	0.8%	2.71%	3.56%	1.98%
67	1.25%	1.64%	0.87%	2.97%	3.88%	2.21%
68	1.34%	1.76%	0.95%	3.26%	4.23%	2.47%
69	1.45%	1.89%	1.04%	3.58%	4.61%	2.75%
70	1.57%	2.05%	1.14%	3.92%	5.02%	3.06%
71	1.7%	2.22%	1.25%	4.31%	5.46%	3.41%
72	1.84%	2.39%	1.36%	4.73%	5.95%	3.8%
73	1.99%	2.58%	1.47%	5.18%	6.48%	4.24%
74	2.16%	2.81%	1.61%	5.69%	7.05%	4.72%
75	2.36%	3.06%	1.77%	6.24%	7.67%	5.25%
76	2.59%	3.34%	1.95%	6.84%	8.35%	5.84%
77	2.86%	3.67%	2.18%	7.48%	9.08%	6.5%
78	3.2%	4.08%	2.47%	8.18%	9.86%	7.21%
79	3.62%	4.58%	2.86%	8.94%	10.7%	7.99%
80	4.14%	5.17%	3.34%	9.75%	11.6%	8.83%
81	4.73%	5.84%	3.88%	10.6%	12.6%	9.75%
82	5.41%	6.62%	4.5%	11.6%	13.6%	10.8%
83	6.2%	7.52%	5.23%	12.7%	14.8%	11.9%
84	7.1%	8.54%	6.08%	13.9%	16%	13%
85	8.14%	9.7%	7.07%	15.1%	17.3%	14.3%
86	9.3%	11%	8.19%	16.5%	18.6%	15.7%
87	10.6%	12.4%	9.44%	17.9%	20%	17.1%
88	12%	13.9%	10.8%	19.3%	21.5%	18.6%
89	13.5%	15.5%	12.4%	20.9%	23%	20.1%
90	15.3%	17.3%	14.1%	22.4%	24.6%	21.7%
91	17.1%	19.3%	16%	24.1%	26.2%	23.4%
92	19.1%	21.5%	18%	25.8%	28%	25.1%
93	21.2%	23.8%	20.1%	27.6%	29.7%	27%
94	23.4%	26.1%	22.3%	29.5%	31.5%	28.9%
95	25.8%	28.3%	24.7%	31.8%	33.7%	31.2%
96	28.2%	30.7%	27.4%	34.1%	35.8%	33.6%
97	30.8%	33.1%	30%	36.5%	38.1%	36%
98	33.3%	35.5%	32.7%	39%	40.5%	38.7%
99	35.9%	38%	35.3%	41.7%	43%	41.4%
100	38.4%	40.4%	38%	44.1%	45.2%	43.8%

Death rate by age in Germany compared to the Philippines

In Germany, the most common age of death is 88, compared to 79 in the Philippines. The median age of death is 84.9 in Germany and 74.5 in the Philippines — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Germany			Philippines
	Total	Male	Female	Total	Male	Female
0	272.1	292.4	250.7	1,942	2,113	1,758
1	28.1	30.9	25.2	264.9	271	258.3
2	10.5	11.5	9.45	179.2	184.3	173.7
3	9.02	9.63	8.37	123	127.2	118.5
4	8.66	9.05	8.24	86.8	90.1	83.2
5	7.93	8.39	7.44	63.9	66.6	61
6	6.95	7.77	6.09	49.7	51.9	47.4
7	6.15	7.21	5.03	41.4	43.3	39.4
8	5.72	6.72	4.66	36.9	38.8	35.1
9	5.65	6.45	4.81	35.3	37.1	33.3
10	5.9	6.44	5.33	35.6	37.8	33.4
11	6.24	6.37	6.1	37.7	40.5	34.7
12	6.86	6.73	7	41.2	45.1	37.1
13	7.88	8.01	7.75	45.9	51.6	40.1
14	9.57	10.4	8.68	51.8	59.9	43.5
15	12.3	14.2	10.3	58.7	69.9	47.2
16	15.9	19.4	12.3	66.4	81.3	51.1
17	20	25.8	13.9	74.7	93.6	55.2
18	23.5	31.7	14.8	83.2	106.2	59.5
19	25.9	35.6	15.7	91.7	118.6	63.8
20	26.7	37.1	15.8	99.8	130.5	68.1
21	26.3	37	14.9	107.4	141.8	72.2
22	26.4	37.2	14.9	114.5	152.6	75.8
23	26.9	37.8	15.3	121.4	163	79.1
24	27.6	38.7	15.5	128	173	82
25	28.4	39.7	15.9	134.4	182.7	84.9
26	29.3	40.4	17.1	140.7	192	88
27	30.7	41.4	18.8	147	200.8	91.8
28	32.8	43.4	21.1	153.5	209.2	96.4
29	35.6	46.4	23.7	160.5	217.4	102.1
30	39.3	50.6	26.8	168.3	226.1	108.9
31	42.8	55.3	29.2	177.3	235.9	116.9
32	45.6	59.7	30.4	187.7	247.4	125.8
33	48.6	63.3	32.6	199.7	261.1	135.7
34	52	67.3	35.7	213.1	276.9	146.2
35	56.1	72.7	38.3	227.7	294.5	157.4
36	60.6	78.8	41.2	243.2	313	169.1
37	65.9	85	45.5	259.2	333	181.4
38	71.6	91.5	50.5	275.4	352	194.3
39	78.3	100	55.4	292.3	372	208
40	85.7	110	60.3	310	393	222.7
41	93.1	119.6	65.5	330	417	239.1
42	101.2	129.5	71.9	353	445	257.4
43	110.3	140.1	79.7	380	478	278.1
44	122.4	155.5	88.6	412	517	301
45	136.6	174	98.6	447	561	327
46	151.7	192.5	110.2	486	611	356
47	168.6	212.6	123.8	528	663	386
48	188.4	236.8	139.2	571	718	418
49	210.5	264.2	155.7	616	773	451
50	233.2	293	172.4	662	829	485
51	258.5	326	190.2	709	886	521
52	289.5	367	210.7	758	947	558
53	325	414	234	809	1,011	596
54	363	464	259.6	864	1,080	637
55	404	516	288.7	923	1,154	680
56	448	572	319	986	1,233	727
57	494	633	350	1,052	1,317	777
58	543	698	382	1,123	1,404	831
59	595	764	420	1,200	1,496	891
60	651	833	461	1,281	1,592	956
61	708	908	500	1,368	1,693	1,027
62	767	987	539	1,461	1,800	1,105
63	831	1,071	584	1,559	1,911	1,190
64	896	1,152	634	1,662	2,026	1,282
65	956	1,224	683	1,782	2,143	1,407
66	1,022	1,300	738	1,906	2,260	1,540
67	1,090	1,379	796	2,034	2,375	1,683
68	1,159	1,456	858	2,165	2,488	1,835
69	1,233	1,539	927	2,299	2,596	1,995
70	1,318	1,634	1,006	2,433	2,698	2,163
71	1,408	1,734	1,090	2,565	2,792	2,336
72	1,493	1,827	1,171	2,694	2,874	2,513
73	1,584	1,925	1,256	2,816	2,943	2,693
74	1,689	2,037	1,352	2,928	2,995	2,872
75	1,806	2,160	1,460	3,030	3,030	3,046
76	1,932	2,286	1,580	3,114	3,043	3,212
77	2,079	2,428	1,731	3,175	3,032	3,363
78	2,260	2,596	1,926	3,211	2,994	3,490
79	2,480	2,794	2,173	3,220	2,929	3,587
80	2,730	3,010	2,459	3,200	2,836	3,648
81	2,993	3,228	2,764	3,152	2,718	3,673
82	3,262	3,444	3,084	3,078	2,575	3,657
83	3,533	3,652	3,423	2,972	2,409	3,596
84	3,797	3,839	3,771	2,834	2,222	3,488
85	4,040	3,987	4,115	2,662	2,018	3,330
86	4,241	4,074	4,432	2,458	1,801	3,123
87	4,374	4,081	4,691	2,228	1,577	2,872
88	4,432	4,016	4,871	1,979	1,353	2,587
89	4,410	3,874	4,969	1,721	1,138	2,280
90	4,295	3,645	4,964	1,466	936	1,966
91	4,088	3,356	4,836	1,220	753	1,657
92	3,784	3,017	4,563	993	592	1,365
93	3,396	2,625	4,175	788	453	1,096
94	2,953	2,195	3,710	609	338	856
95	2,484	1,763	3,192	463	247.1	659
96	2,022	1,369	2,656	339	174.4	487
97	1,583	1,024	2,118	239.2	119	348
98	1,184	736	1,611	162.6	78.2	238.6
99	850	506	1,173	106	49.4	156.8
100	393	135.7	625	0	0	1.85

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 the Philippines 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 Philippines: Complete comparison

By topic vs comparisons:

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