Life Expectancy in Germany vs Philippines (1950-2026)

Life expectancy by current age

Chart Table

Germany

Male

Female

Philippines

Male

Female

1x

Current age, years	Total life expectancy, years
	Germany			Philippines
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	101.9	101.7	101.9
99	101	100.9	101.1	100.9	100.8	100.9
98	100.2	100.1	100.2	100	99.9	100
97	99.4	99.2	99.4	99.1	99	99.1
96	98.6	98.4	98.6	98.2	98.1	98.2
95	97.8	97.6	97.9	97.3	97.2	97.4
94	97	96.8	97.1	96.5	96.4	96.5
93	96.3	96	96.4	95.7	95.5	95.7
92	95.6	95.3	95.7	94.9	94.7	94.9
91	94.9	94.5	95	94.1	93.8	94.1
90	94.2	93.9	94.4	93.3	93	93.3
89	93.6	93.2	93.8	92.5	92.2	92.6
88	93	92.5	93.2	91.7	91.4	91.8
87	92.4	91.9	92.7	91	90.6	91.1
86	91.9	91.3	92.2	90.2	89.9	90.4
85	91.3	90.8	91.7	89.5	89.1	89.7
84	90.9	90.3	91.3	88.8	88.4	89
83	90.4	89.8	90.9	88.1	87.7	88.3
82	90	89.3	90.5	87.5	87	87.7
81	89.6	88.8	90.2	86.9	86.3	87.1
80	89.2	88.4	89.8	86.2	85.6	86.5
79	88.9	88	89.6	85.6	85	86
78	88.6	87.6	89.3	85.1	84.3	85.4
77	88.2	87.3	89	84.5	83.7	84.9
76	88	86.9	88.8	83.9	83.1	84.4
75	87.7	86.6	88.6	83.4	82.5	84
74	87.4	86.3	88.3	82.9	82	83.5
73	87.1	85.9	88.1	82.4	81.4	83.1
72	86.9	85.6	87.9	82	80.9	82.7
71	86.6	85.3	87.7	81.5	80.4	82.3
70	86.3	85	87.5	81.1	79.9	82
69	86.1	84.7	87.3	80.7	79.4	81.6
68	85.9	84.4	87.2	80.3	79	81.3
67	85.6	84.2	87	79.9	78.5	81
66	85.4	83.9	86.8	79.5	78.1	80.7
65	85.2	83.7	86.7	79.2	77.7	80.4
64	85	83.4	86.5	78.9	77.3	80.2
63	84.8	83.2	86.4	78.5	76.9	79.9
62	84.6	82.9	86.2	78.2	76.5	79.7
61	84.5	82.7	86.1	78	76.2	79.5
60	84.3	82.5	86	77.7	75.9	79.3
59	84.1	82.3	85.9	77.4	75.6	79.1
58	84	82.2	85.8	77.2	75.2	78.9
57	83.9	82	85.7	76.9	75	78.7
56	83.7	81.9	85.6	76.7	74.7	78.5
55	83.6	81.7	85.5	76.4	74.4	78.3
54	83.5	81.6	85.4	76.2	74.1	78.2
53	83.4	81.5	85.3	76	73.9	78
52	83.3	81.4	85.3	75.8	73.7	77.8
51	83.2	81.3	85.2	75.6	73.4	77.7
50	83.2	81.2	85.1	75.4	73.2	77.5
49	83.1	81.1	85.1	75.2	73	77.4
48	83	81	85	75.1	72.8	77.3
47	83	80.9	85	74.9	72.6	77.2
46	82.9	80.9	84.9	74.8	72.4	77
45	82.9	80.8	84.9	74.6	72.3	76.9
44	82.8	80.7	84.9	74.5	72.1	76.8
43	82.8	80.7	84.8	74.4	72	76.7
42	82.7	80.6	84.8	74.2	71.8	76.6
41	82.7	80.6	84.8	74.1	71.7	76.6
40	82.7	80.6	84.7	74	71.5	76.5
39	82.6	80.5	84.7	73.9	71.4	76.4
38	82.6	80.5	84.7	73.8	71.3	76.3
37	82.6	80.4	84.7	73.7	71.2	76.2
36	82.5	80.4	84.6	73.6	71	76.2
35	82.5	80.4	84.6	73.5	70.9	76.1
34	82.5	80.3	84.6	73.4	70.8	76
33	82.5	80.3	84.6	73.3	70.7	76
32	82.4	80.3	84.6	73.3	70.6	75.9
31	82.4	80.3	84.6	73.2	70.5	75.9
30	82.4	80.2	84.5	73.1	70.4	75.8
29	82.4	80.2	84.5	73	70.3	75.8
28	82.4	80.2	84.5	73	70.3	75.7
27	82.3	80.2	84.5	72.9	70.2	75.7
26	82.3	80.1	84.5	72.8	70.1	75.6
25	82.3	80.1	84.5	72.8	70	75.6
24	82.3	80.1	84.5	72.7	69.9	75.5
23	82.3	80.1	84.5	72.6	69.8	75.5
22	82.3	80.1	84.5	72.6	69.8	75.5
21	82.2	80	84.5	72.5	69.7	75.4
20	82.2	80	84.4	72.5	69.6	75.4
19	82.2	80	84.4	72.4	69.6	75.4
18	82.2	80	84.4	72.4	69.5	75.3
17	82.2	80	84.4	72.3	69.5	75.3
16	82.2	80	84.4	72.3	69.4	75.3
15	82.2	79.9	84.4	72.3	69.4	75.2
14	82.2	79.9	84.4	72.2	69.3	75.2
13	82.2	79.9	84.4	72.2	69.3	75.2
12	82.2	79.9	84.4	72.2	69.3	75.2
11	82.2	79.9	84.4	72.2	69.3	75.1
10	82.1	79.9	84.4	72.1	69.2	75.1
9	82.1	79.9	84.4	72.1	69.2	75.1
8	82.1	79.9	84.4	72.1	69.2	75.1
7	82.1	79.9	84.4	72.1	69.2	75
6	82.1	79.9	84.4	72	69.1	75
5	82.1	79.9	84.4	72	69.1	75
4	82.1	79.9	84.4	71.9	69	74.9
3	82.1	79.9	84.3	71.8	68.9	74.8
2	82.1	79.9	84.3	71.7	68.8	74.7
1	82.1	79.8	84.3	71.5	68.6	74.5
0	81.9	79.6	84.1	70.2	67.2	73.2

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 73.1 in the Philippines, rising to 85.2 and 79.2 at 65, and to 89.2 and 86.2 at 80 — higher than the 81.9 and 70.2 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Germany

Male

Female

Philippines

Male

Female

1x

Age	Survival probability
	Germany			Philippines
	Average	Male	Female	Average	Male	Female
100	1.57%	0.87%	2.2%	0.15%	0.07%	0.23%
99	2.44%	1.4%	3.4%	0.26%	0.12%	0.39%
98	3.66%	2.17%	5.04%	0.43%	0.2%	0.63%
97	5.28%	3.24%	7.19%	0.67%	0.32%	0.98%
96	7.35%	4.66%	9.89%	1.01%	0.5%	1.48%
95	9.89%	6.48%	13.1%	1.48%	0.75%	2.15%
94	12.9%	8.74%	16.9%	2.1%	1.09%	3.01%
93	16.4%	11.4%	21.1%	2.89%	1.55%	4.12%
92	20.2%	14.5%	25.7%	3.9%	2.15%	5.5%
91	24.3%	18%	30.6%	5.13%	2.92%	7.18%
90	28.7%	21.7%	35.6%	6.61%	3.87%	9.16%
89	33.1%	25.6%	40.5%	8.34%	5.02%	11.5%
88	37.6%	29.7%	45.4%	10.3%	6.38%	14.1%
87	42%	33.8%	50.1%	12.6%	7.98%	17%
86	46.2%	37.9%	54.5%	15%	9.79%	20.1%
85	50.3%	41.9%	58.6%	17.7%	11.8%	23.4%
84	54%	45.7%	62.4%	20.6%	14.1%	26.9%
83	57.6%	49.3%	65.8%	23.5%	16.5%	30.5%
82	60.8%	52.8%	68.9%	26.6%	19.1%	34.2%
81	63.8%	56%	71.6%	29.8%	21.8%	37.9%
80	66.5%	58.9%	74%	33%	24.7%	41.5%
79	68.9%	61.7%	76.2%	36.2%	27.6%	45.1%
78	71.2%	64.3%	78.1%	39.5%	30.6%	48.6%
77	73.2%	66.7%	79.8%	42.6%	33.6%	52%
76	75.1%	68.9%	81.4%	45.8%	36.7%	55.2%
75	76.9%	71%	82.8%	48.8%	39.7%	58.3%
74	78.5%	73%	84.1%	51.7%	42.7%	61.1%
73	80.1%	74.9%	85.4%	54.5%	45.7%	63.8%
72	81.6%	76.7%	86.5%	57.2%	48.5%	66.3%
71	83%	78.4%	87.6%	59.8%	51.3%	68.7%
70	84.3%	80%	88.6%	62.2%	54%	70.8%
69	85.5%	81.6%	89.5%	64.5%	56.6%	72.8%
68	86.6%	83%	90.4%	66.7%	59.1%	74.6%
67	87.7%	84.3%	91.2%	68.7%	61.5%	76.3%
66	88.7%	85.6%	91.9%	70.6%	63.7%	77.8%
65	89.6%	86.8%	92.6%	72.4%	65.8%	79.2%
64	90.5%	88%	93.2%	74%	67.9%	80.5%
63	91.3%	89%	93.8%	75.6%	69.8%	81.7%
62	92.1%	90%	94.3%	77.1%	71.6%	82.8%
61	92.8%	90.9%	94.8%	78.4%	73.2%	83.8%
60	93.4%	91.7%	95.2%	79.7%	74.8%	84.8%
59	94%	92.5%	95.7%	80.9%	76.3%	85.7%
58	94.6%	93.1%	96%	82%	77.7%	86.5%
57	95.1%	93.8%	96.4%	83.1%	79%	87.3%
56	95.5%	94.3%	96.7%	84%	80.3%	88%
55	95.9%	94.8%	97%	85%	81.4%	88.7%
54	96.3%	95.3%	97.2%	85.8%	82.5%	89.3%
53	96.6%	95.7%	97.5%	86.6%	83.5%	89.9%
52	96.9%	96.1%	97.7%	87.4%	84.4%	90.4%
51	97.1%	96.4%	97.9%	88.1%	85.3%	91%
50	97.3%	96.7%	98%	88.7%	86.1%	91.4%
49	97.5%	96.9%	98.2%	89.3%	86.9%	91.9%
48	97.7%	97.2%	98.3%	89.9%	87.6%	92.3%
47	97.9%	97.4%	98.5%	90.4%	88.3%	92.7%
46	98%	97.6%	98.6%	90.9%	88.9%	93%
45	98.2%	97.7%	98.7%	91.4%	89.4%	93.4%
44	98.3%	97.9%	98.8%	91.8%	89.9%	93.7%
43	98.4%	98%	98.8%	92.1%	90.4%	93.9%
42	98.5%	98.1%	98.9%	92.5%	90.9%	94.2%
41	98.6%	98.3%	99%	92.8%	91.3%	94.4%
40	98.7%	98.4%	99%	93.1%	91.7%	94.7%
39	98.8%	98.5%	99.1%	93.4%	92%	94.9%
38	98.8%	98.6%	99.1%	93.7%	92.4%	95%
37	98.9%	98.6%	99.2%	93.9%	92.7%	95.2%
36	99%	98.7%	99.2%	94.2%	93%	95.4%
35	99%	98.8%	99.3%	94.4%	93.3%	95.6%
34	99.1%	98.9%	99.3%	94.6%	93.6%	95.7%
33	99.1%	98.9%	99.3%	94.8%	93.9%	95.8%
32	99.2%	99%	99.4%	95%	94.1%	96%
31	99.2%	99%	99.4%	95.2%	94.3%	96.1%
30	99.2%	99.1%	99.4%	95.3%	94.6%	96.2%
29	99.3%	99.1%	99.4%	95.5%	94.8%	96.3%
28	99.3%	99.2%	99.5%	95.7%	95%	96.4%
27	99.3%	99.2%	99.5%	95.8%	95.2%	96.5%
26	99.4%	99.2%	99.5%	95.9%	95.4%	96.5%
25	99.4%	99.3%	99.5%	96.1%	95.6%	96.6%
24	99.4%	99.3%	99.5%	96.2%	95.7%	96.7%
23	99.4%	99.4%	99.5%	96.3%	95.9%	96.8%
22	99.5%	99.4%	99.5%	96.4%	96%	96.9%
21	99.5%	99.4%	99.6%	96.5%	96.2%	96.9%
20	99.5%	99.5%	99.6%	96.6%	96.3%	97%
19	99.5%	99.5%	99.6%	96.7%	96.4%	97.1%
18	99.6%	99.5%	99.6%	96.8%	96.5%	97.1%
17	99.6%	99.6%	99.6%	96.9%	96.6%	97.2%
16	99.6%	99.6%	99.6%	97%	96.7%	97.2%
15	99.6%	99.6%	99.6%	97%	96.8%	97.3%
14	99.6%	99.6%	99.7%	97.1%	96.8%	97.3%
13	99.6%	99.6%	99.7%	97.1%	96.9%	97.4%
12	99.6%	99.6%	99.7%	97.2%	96.9%	97.4%
11	99.6%	99.6%	99.7%	97.2%	97%	97.4%
10	99.7%	99.6%	99.7%	97.2%	97%	97.5%
9	99.7%	99.6%	99.7%	97.3%	97%	97.5%
8	99.7%	99.6%	99.7%	97.3%	97.1%	97.5%
7	99.7%	99.6%	99.7%	97.3%	97.1%	97.6%
6	99.7%	99.7%	99.7%	97.4%	97.2%	97.6%
5	99.7%	99.7%	99.7%	97.5%	97.2%	97.7%
4	99.7%	99.7%	99.7%	97.5%	97.3%	97.8%
3	99.7%	99.7%	99.7%	97.7%	97.5%	97.9%
2	99.7%	99.7%	99.7%	97.8%	97.6%	98%
1	99.7%	99.7%	99.8%	98.1%	97.9%	98.3%

This chart shows the odds of living to each age from birth. 93.4% of newborns in Germany and 79.7% in the Philippines are expected to live past 60, 84.3% and 62.2% past 70, 66.5% and 33% past 80, and only 28.7% and 6.61% 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

Philippines

Male

Female

1x

Age	Probability of dying
	Germany			Philippines
	Average	Male	Female	Average	Male	Female
100	38.4%	40.3%	37.9%	44%	45.1%	43.8%
99	35.8%	37.9%	35.2%	41.7%	42.9%	41.4%
98	33.3%	35.4%	32.6%	39%	40.4%	38.6%
97	30.7%	32.9%	30%	36.4%	38%	36%
96	28.2%	30.5%	27.3%	34%	35.7%	33.5%
95	25.7%	28.2%	24.7%	31.7%	33.6%	31.1%
94	23.3%	25.9%	22.2%	29.4%	31.4%	28.8%
93	21.1%	23.6%	20%	27.5%	29.7%	26.9%
92	19%	21.3%	17.9%	25.7%	27.9%	25.1%
91	17%	19.1%	15.9%	24%	26.2%	23.3%
90	15.1%	17.1%	14%	22.4%	24.5%	21.7%
89	13.4%	15.4%	12.3%	20.8%	22.9%	20.1%
88	11.9%	13.7%	10.7%	19.3%	21.4%	18.5%
87	10.5%	12.2%	9.36%	17.8%	20%	17%
86	9.19%	10.8%	8.11%	16.4%	18.5%	15.6%
85	8.04%	9.54%	6.99%	15.1%	17.2%	14.3%
84	7.01%	8.39%	6.01%	13.8%	15.9%	13%
83	6.11%	7.38%	5.17%	12.7%	14.7%	11.8%
82	5.32%	6.49%	4.45%	11.6%	13.6%	10.7%
81	4.65%	5.72%	3.83%	10.6%	12.5%	9.71%
80	4.06%	5.05%	3.29%	9.74%	11.5%	8.79%
79	3.56%	4.47%	2.82%	8.92%	10.6%	7.95%
78	3.13%	3.98%	2.44%	8.17%	9.81%	7.18%
77	2.8%	3.59%	2.14%	7.47%	9.03%	6.47%
76	2.53%	3.26%	1.92%	6.82%	8.31%	5.82%
75	2.31%	2.99%	1.74%	6.21%	7.64%	5.23%
74	2.12%	2.74%	1.59%	5.66%	7.02%	4.69%
73	1.95%	2.53%	1.45%	5.16%	6.45%	4.22%
72	1.8%	2.34%	1.34%	4.7%	5.92%	3.78%
71	1.67%	2.17%	1.23%	4.28%	5.44%	3.4%
70	1.54%	2.01%	1.12%	3.9%	4.99%	3.05%
69	1.42%	1.86%	1.02%	3.56%	4.58%	2.73%
68	1.32%	1.73%	0.94%	3.24%	4.2%	2.45%
67	1.23%	1.61%	0.86%	2.95%	3.86%	2.2%
66	1.14%	1.49%	0.79%	2.69%	3.54%	1.97%
65	1.05%	1.39%	0.73%	2.46%	3.25%	1.77%
64	0.98%	1.29%	0.67%	2.24%	2.98%	1.59%
63	0.9%	1.19%	0.62%	2.05%	2.73%	1.45%
62	0.82%	1.08%	0.57%	1.89%	2.51%	1.33%
61	0.75%	0.98%	0.52%	1.74%	2.3%	1.22%
60	0.69%	0.89%	0.48%	1.6%	2.12%	1.12%
59	0.62%	0.81%	0.44%	1.48%	1.95%	1.03%
58	0.57%	0.74%	0.39%	1.36%	1.8%	0.96%
57	0.51%	0.66%	0.36%	1.26%	1.66%	0.89%
56	0.46%	0.6%	0.33%	1.17%	1.53%	0.82%
55	0.42%	0.54%	0.29%	1.08%	1.41%	0.76%
54	0.37%	0.48%	0.26%	1%	1.3%	0.71%
53	0.33%	0.43%	0.24%	0.93%	1.2%	0.66%
52	0.29%	0.38%	0.21%	0.86%	1.11%	0.61%
51	0.26%	0.33%	0.19%	0.8%	1.03%	0.57%
50	0.24%	0.3%	0.17%	0.74%	0.96%	0.53%
49	0.21%	0.27%	0.16%	0.68%	0.88%	0.49%
48	0.19%	0.24%	0.14%	0.63%	0.81%	0.45%
47	0.17%	0.21%	0.12%	0.58%	0.75%	0.41%
46	0.15%	0.19%	0.11%	0.53%	0.68%	0.38%
45	0.14%	0.17%	0.1%	0.49%	0.62%	0.35%
44	0.12%	0.16%	0.09%	0.44%	0.57%	0.32%
43	0.11%	0.14%	0.08%	0.41%	0.52%	0.29%
42	0.1%	0.13%	0.07%	0.38%	0.49%	0.27%
41	0.09%	0.12%	0.07%	0.35%	0.45%	0.25%
40	0.09%	0.11%	0.06%	0.33%	0.43%	0.23%
39	0.08%	0.1%	0.06%	0.31%	0.4%	0.22%
38	0.07%	0.09%	0.05%	0.29%	0.38%	0.2%
37	0.07%	0.08%	0.05%	0.27%	0.36%	0.19%
36	0.06%	0.08%	0.04%	0.26%	0.33%	0.17%
35	0.06%	0.07%	0.04%	0.24%	0.31%	0.16%
34	0.05%	0.07%	0.04%	0.22%	0.29%	0.15%
33	0.05%	0.06%	0.03%	0.21%	0.28%	0.14%
32	0.05%	0.06%	0.03%	0.2%	0.26%	0.13%
31	0.04%	0.05%	0.03%	0.18%	0.25%	0.12%
30	0.04%	0.05%	0.03%	0.17%	0.24%	0.11%
29	0.04%	0.05%	0.02%	0.17%	0.23%	0.1%
28	0.03%	0.04%	0.02%	0.16%	0.22%	0.1%
27	0.03%	0.04%	0.02%	0.15%	0.21%	0.09%
26	0.03%	0.04%	0.02%	0.15%	0.2%	0.09%
25	0.03%	0.04%	0.02%	0.14%	0.19%	0.09%
24	0.03%	0.04%	0.02%	0.13%	0.18%	0.08%
23	0.03%	0.04%	0.02%	0.12%	0.17%	0.08%
22	0.03%	0.04%	0.01%	0.12%	0.16%	0.08%
21	0.03%	0.04%	0.01%	0.11%	0.15%	0.07%
20	0.03%	0.04%	0.02%	0.1%	0.13%	0.07%
19	0.03%	0.03%	0.02%	0.09%	0.12%	0.06%
18	0.02%	0.03%	0.01%	0.09%	0.11%	0.06%
17	0.02%	0.03%	0.01%	0.08%	0.1%	0.06%
16	0.02%	0.02%	0.01%	0.07%	0.08%	0.05%
15	0.01%	0.01%	0.01%	0.06%	0.07%	0.05%
14	0.009%	0.01%	0.009%	0.05%	0.06%	0.04%
13	0.008%	0.008%	0.008%	0.05%	0.05%	0.04%
12	0.007%	0.007%	0.007%	0.04%	0.05%	0.04%
11	0.006%	0.006%	0.006%	0.04%	0.04%	0.03%
10	0.006%	0.006%	0.005%	0.04%	0.04%	0.03%
9	0.006%	0.006%	0.005%	0.04%	0.04%	0.03%
8	0.006%	0.007%	0.005%	0.04%	0.04%	0.04%
7	0.006%	0.007%	0.005%	0.04%	0.04%	0.04%
6	0.007%	0.008%	0.006%	0.05%	0.05%	0.05%
5	0.008%	0.008%	0.007%	0.06%	0.07%	0.06%
4	0.008%	0.009%	0.008%	0.09%	0.09%	0.08%
3	0.009%	0.009%	0.008%	0.12%	0.13%	0.12%
2	0.01%	0.01%	0.009%	0.18%	0.19%	0.17%
1	0.03%	0.03%	0.02%	0.26%	0.27%	0.26%
0	0.26%	0.28%	0.24%	1.91%	2.09%	1.71%

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

The annual chance of dying is 0.26% in the birth year in Germany and 1.91% in the Philippines, 0.04% vs 0.17% at age 30, 0.69% vs 1.6% at 60, and 4.06% vs 9.74% at 80.

Death rate by age in Germany vs Philippines

Chart Table

Germany

Male

Female

Philippines

Male

Female

1x

Age	Death rate
	Germany			Philippines
	Total	Male	Female	Total	Male	Female
100	411	149.7	645	0	0	3.13
99	874	530	1,197	108.1	50.6	159.9
98	1,217	768	1,642	165.6	80	242.9
97	1,623	1,066	2,155	243.2	121.5	354
96	2,070	1,421	2,698	344	177.8	495
95	2,537	1,824	3,236	469	251.6	669
94	3,012	2,264	3,756	616	344	868
93	3,456	2,699	4,218	797	461	1,109
92	3,843	3,091	4,602	1,003	601	1,379
91	4,141	3,427	4,868	1,232	764	1,674
90	4,341	3,710	4,988	1,477	948	1,984
89	4,447	3,930	4,984	1,733	1,151	2,298
88	4,458	4,061	4,878	1,991	1,368	2,605
87	4,390	4,114	4,689	2,240	1,592	2,890
86	4,248	4,095	4,424	2,470	1,816	3,140
85	4,039	3,995	4,101	2,672	2,034	3,345
84	3,788	3,836	3,753	2,844	2,238	3,502
83	3,517	3,640	3,402	2,982	2,423	3,608
82	3,238	3,424	3,062	3,088	2,588	3,666
81	2,964	3,202	2,740	3,166	2,730	3,681
80	2,702	2,979	2,436	3,214	2,847	3,654
79	2,452	2,760	2,150	3,233	2,938	3,590
78	2,230	2,560	1,904	3,223	3,002	3,492
77	2,048	2,391	1,710	3,186	3,038	3,364
76	1,900	2,250	1,561	3,120	3,047	3,211
75	1,777	2,125	1,442	3,031	3,032	3,044
74	1,662	2,004	1,335	2,929	2,997	2,869
73	1,560	1,893	1,240	2,815	2,942	2,690
72	1,471	1,797	1,157	2,691	2,872	2,510
71	1,389	1,705	1,078	2,562	2,789	2,332
70	1,300	1,607	995	2,428	2,695	2,158
69	1,217	1,514	916	2,294	2,592	1,991
68	1,142	1,432	848	2,161	2,483	1,831
67	1,075	1,357	788	2,030	2,370	1,679
66	1,007	1,280	730	1,902	2,254	1,536
65	943	1,205	676	1,778	2,137	1,402
64	884	1,135	627	1,657	2,020	1,277
63	821	1,055	579	1,554	1,905	1,185
62	757	972	534	1,455	1,793	1,101
61	699	895	495	1,362	1,687	1,023
60	642	821	457	1,275	1,585	952
59	587	753	416	1,194	1,489	886
58	535	687	378	1,118	1,397	827
57	487	623	346	1,047	1,310	772
56	441	563	316	981	1,227	722
55	398	508	285.7	919	1,148	676
54	358	456	256.9	860	1,074	633
53	320	407	231.5	805	1,005	592
52	284.9	360	208.4	753	941	554
51	254.5	320	188	704	881	517
50	229.5	287.6	170.4	657	824	482
49	207	259.3	153.8	612	768	447
48	185.3	232.3	137.5	567	713	414
47	165.7	208.4	122.3	524	659	382
46	149.1	188.7	108.9	482	606	352
45	134.2	170.5	97.3	444	557	324
44	120.3	152.3	87.5	408	513	298.4
43	108.4	137.1	78.7	377	474	275.3
42	99.4	126.7	71	350	441	254.7
41	91.5	117.1	64.6	327	414	236.5
40	84.2	107.7	59.5	308	390	220.2
39	76.9	97.9	54.6	289.6	369	205.5
38	70.3	89.5	49.8	272.8	349	191.9
37	64.7	83.1	44.9	256.6	330	179.1
36	59.4	77	40.6	240.7	311	166.9
35	55	71.1	37.8	225.3	292.1	155.3
34	51	65.8	35.2	210.8	274.7	144.2
33	47.6	61.9	32.2	197.6	259	133.8
32	44.7	58.3	30	185.8	245.5	124.1
31	42	54	28.8	175.5	234	115.3
30	38.5	49.5	26.4	166.6	224.3	107.5
29	34.9	45.3	23.4	158.9	215.7	100.7
28	32.1	42.4	20.8	152	207.5	95.1
27	30	40.3	18.5	145.6	199.2	90.6
26	28.6	39.3	16.8	139.3	190.6	86.8
25	27.6	38.6	15.7	133.1	181.4	83.7
24	26.9	37.6	15.2	126.7	171.8	80.8
23	26.2	36.7	15	120.3	161.9	77.9
22	25.7	36.2	14.6	113.6	151.6	74.7
21	25.6	36	14.7	106.6	141	71.1
20	26.1	36	15.5	99	129.8	67.1
19	25.3	34.6	15.4	90.9	118	62.8
18	22.9	30.7	14.5	82.5	105.7	58.5
17	19.5	25.1	13.6	74	93	54.3
16	15.5	18.8	12.1	65.8	80.8	50.2
15	12	13.8	10.2	58.1	69.4	46.3
14	9.35	10.1	8.53	51.2	59.5	42.7
13	7.7	7.78	7.61	45.4	51.2	39.3
12	6.7	6.53	6.87	40.7	44.8	36.4
11	6.08	6.17	5.99	37.2	40.3	34.1
10	5.74	6.23	5.22	35.2	37.7	32.7
9	5.49	6.23	4.71	34.9	37.1	32.7
8	5.54	6.48	4.56	36.6	38.7	34.4
7	5.96	6.94	4.91	41	43.4	38.6
6	6.74	7.49	5.95	49.3	52	46.4
5	7.69	8.09	7.28	63.2	66.5	59.7
4	8.4	8.73	8.05	85.7	89.8	81.3
3	8.73	9.26	8.17	121.2	126.4	115.6
2	10.1	11	9.22	176.2	182.7	169.2
1	27.4	29.9	24.7	259.8	267.9	251.1
0	263.3	281	244.7	1,906	2,089	1,709

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 79 in the Philippines. The median age of death is 85.1 in Germany and 74.6 in the Philippines, 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 the Philippines more than their death rates.

Life expectancy in other countries

+ -

1x