Life Expectancy in Germany vs Mongolia (1950-2026)

Life expectancy by current age

Chart Table

Germany

Male

Female

Mongolia

Male

Female

1x

Current age, years	Total life expectancy, years
	Germany			Mongolia
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	102.1	101.8	102.1
99	101	100.9	101.1	101.1	100.9	101.1
98	100.2	100.1	100.2	100.1	100	100.2
97	99.4	99.2	99.4	99.3	99.1	99.3
96	98.6	98.4	98.6	98.4	98.2	98.5
95	97.8	97.6	97.9	97.6	97.4	97.6
94	97	96.8	97.1	96.8	96.5	96.8
93	96.3	96	96.4	96	95.7	96.1
92	95.6	95.3	95.7	95.2	94.9	95.3
91	94.9	94.5	95	94.4	94.1	94.5
90	94.2	93.9	94.4	93.7	93.3	93.8
89	93.6	93.2	93.8	92.9	92.5	93.1
88	93	92.5	93.2	92.2	91.8	92.4
87	92.4	91.9	92.7	91.5	91	91.7
86	91.9	91.3	92.2	90.8	90.3	91
85	91.3	90.8	91.7	90.1	89.5	90.4
84	90.9	90.3	91.3	89.5	88.8	89.8
83	90.4	89.8	90.9	88.8	88.1	89.2
82	90	89.3	90.5	88.2	87.4	88.7
81	89.6	88.8	90.2	87.6	86.8	88.1
80	89.2	88.4	89.8	87	86.1	87.6
79	88.9	88	89.6	86.5	85.5	87.1
78	88.6	87.6	89.3	86	84.9	86.6
77	88.2	87.3	89	85.4	84.2	86.2
76	88	86.9	88.8	84.9	83.7	85.8
75	87.7	86.6	88.6	84.5	83.1	85.4
74	87.4	86.3	88.3	84	82.5	85
73	87.1	85.9	88.1	83.5	82	84.6
72	86.9	85.6	87.9	83.1	81.5	84.2
71	86.6	85.3	87.7	82.7	81	83.9
70	86.3	85	87.5	82.3	80.5	83.6
69	86.1	84.7	87.3	81.9	80	83.3
68	85.9	84.4	87.2	81.5	79.5	83
67	85.6	84.2	87	81.1	79.1	82.7
66	85.4	83.9	86.8	80.8	78.6	82.4
65	85.2	83.7	86.7	80.4	78.2	82.2
64	85	83.4	86.5	80.1	77.8	81.9
63	84.8	83.2	86.4	79.8	77.4	81.7
62	84.6	82.9	86.2	79.5	77	81.5
61	84.5	82.7	86.1	79.2	76.6	81.3
60	84.3	82.5	86	78.9	76.2	81.1
59	84.1	82.3	85.9	78.6	75.9	80.9
58	84	82.2	85.8	78.3	75.5	80.7
57	83.9	82	85.7	78	75.1	80.5
56	83.7	81.9	85.6	77.8	74.8	80.4
55	83.6	81.7	85.5	77.5	74.5	80.2
54	83.5	81.6	85.4	77.3	74.2	80.1
53	83.4	81.5	85.3	77.1	73.9	79.9
52	83.3	81.4	85.3	76.8	73.6	79.8
51	83.2	81.3	85.2	76.6	73.3	79.7
50	83.2	81.2	85.1	76.4	73	79.5
49	83.1	81.1	85.1	76.2	72.8	79.4
48	83	81	85	76	72.5	79.3
47	83	80.9	85	75.8	72.3	79.2
46	82.9	80.9	84.9	75.7	72.1	79.1
45	82.9	80.8	84.9	75.5	71.8	79
44	82.8	80.7	84.9	75.4	71.6	79
43	82.8	80.7	84.8	75.2	71.5	78.9
42	82.7	80.6	84.8	75.1	71.3	78.8
41	82.7	80.6	84.8	75	71.1	78.7
40	82.7	80.6	84.7	74.9	71	78.7
39	82.6	80.5	84.7	74.7	70.8	78.6
38	82.6	80.5	84.7	74.6	70.7	78.6
37	82.6	80.4	84.7	74.5	70.5	78.5
36	82.5	80.4	84.6	74.5	70.4	78.5
35	82.5	80.4	84.6	74.4	70.3	78.4
34	82.5	80.3	84.6	74.3	70.2	78.4
33	82.5	80.3	84.6	74.2	70.1	78.3
32	82.4	80.3	84.6	74.1	70	78.3
31	82.4	80.3	84.6	74.1	69.9	78.3
30	82.4	80.2	84.5	74	69.9	78.2
29	82.4	80.2	84.5	74	69.8	78.2
28	82.4	80.2	84.5	73.9	69.7	78.2
27	82.3	80.2	84.5	73.9	69.6	78.1
26	82.3	80.1	84.5	73.8	69.6	78.1
25	82.3	80.1	84.5	73.8	69.5	78.1
24	82.3	80.1	84.5	73.7	69.5	78.1
23	82.3	80.1	84.5	73.7	69.4	78
22	82.3	80.1	84.5	73.6	69.3	78
21	82.2	80	84.5	73.6	69.3	78
20	82.2	80	84.4	73.5	69.2	78
19	82.2	80	84.4	73.5	69.2	77.9
18	82.2	80	84.4	73.5	69.1	77.9
17	82.2	80	84.4	73.4	69.1	77.9
16	82.2	80	84.4	73.4	69	77.9
15	82.2	79.9	84.4	73.4	69	77.8
14	82.2	79.9	84.4	73.4	69	77.8
13	82.2	79.9	84.4	73.3	69	77.8
12	82.2	79.9	84.4	73.3	69	77.8
11	82.2	79.9	84.4	73.3	68.9	77.8
10	82.1	79.9	84.4	73.3	68.9	77.8
9	82.1	79.9	84.4	73.3	68.9	77.8
8	82.1	79.9	84.4	73.3	68.9	77.8
7	82.1	79.9	84.4	73.2	68.9	77.7
6	82.1	79.9	84.4	73.2	68.9	77.7
5	82.1	79.9	84.4	73.2	68.8	77.7
4	82.1	79.9	84.4	73.2	68.8	77.7
3	82.1	79.9	84.3	73.2	68.8	77.7
2	82.1	79.9	84.3	73.1	68.7	77.6
1	82.1	79.8	84.3	73.1	68.7	77.6
0	81.9	79.6	84.1	72.5	68	77.1

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 74 in Mongolia, rising to 85.2 and 80.4 at 65, and to 89.2 and 87 at 80 — higher than the 81.9 and 72.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Germany

Male

Female

Mongolia

Male

Female

1x

Age	Survival probability
	Germany			Mongolia
	Average	Male	Female	Average	Male	Female
100	1.57%	0.87%	2.2%	0.35%	0.12%	0.61%
99	2.44%	1.4%	3.4%	0.58%	0.21%	0.99%
98	3.66%	2.17%	5.04%	0.91%	0.34%	1.54%
97	5.28%	3.24%	7.19%	1.37%	0.53%	2.29%
96	7.35%	4.66%	9.89%	1.98%	0.79%	3.28%
95	9.89%	6.48%	13.1%	2.76%	1.15%	4.54%
94	12.9%	8.74%	16.9%	3.75%	1.62%	6.07%
93	16.4%	11.4%	21.1%	4.95%	2.23%	7.93%
92	20.2%	14.5%	25.7%	6.4%	2.99%	10.1%
91	24.3%	18%	30.6%	8.09%	3.91%	12.6%
90	28.7%	21.7%	35.6%	10%	5.02%	15.5%
89	33.1%	25.6%	40.5%	12.2%	6.31%	18.6%
88	37.6%	29.7%	45.4%	14.6%	7.79%	21.9%
87	42%	33.8%	50.1%	17.2%	9.46%	25.5%
86	46.2%	37.9%	54.5%	20%	11.3%	29.1%
85	50.3%	41.9%	58.6%	22.9%	13.4%	32.9%
84	54%	45.7%	62.4%	26%	15.6%	36.7%
83	57.6%	49.3%	65.8%	29.1%	17.9%	40.4%
82	60.8%	52.8%	68.9%	32.2%	20.4%	44.1%
81	63.8%	56%	71.6%	35.3%	23%	47.7%
80	66.5%	58.9%	74%	38.4%	25.7%	51.1%
79	68.9%	61.7%	76.2%	41.5%	28.5%	54.4%
78	71.2%	64.3%	78.1%	44.4%	31.2%	57.6%
77	73.2%	66.7%	79.8%	47.3%	34%	60.5%
76	75.1%	68.9%	81.4%	50.1%	36.8%	63.3%
75	76.9%	71%	82.8%	52.7%	39.6%	65.9%
74	78.5%	73%	84.1%	55.3%	42.4%	68.3%
73	80.1%	74.9%	85.4%	57.8%	45.1%	70.7%
72	81.6%	76.7%	86.5%	60.2%	47.7%	72.8%
71	83%	78.4%	87.6%	62.5%	50.3%	74.8%
70	84.3%	80%	88.6%	64.7%	52.8%	76.7%
69	85.5%	81.6%	89.5%	66.7%	55.2%	78.4%
68	86.6%	83%	90.4%	68.7%	57.6%	80%
67	87.7%	84.3%	91.2%	70.5%	59.8%	81.5%
66	88.7%	85.6%	91.9%	72.3%	61.9%	82.9%
65	89.6%	86.8%	92.6%	73.9%	64%	84.1%
64	90.5%	88%	93.2%	75.5%	66%	85.3%
63	91.3%	89%	93.8%	77%	67.8%	86.4%
62	92.1%	90%	94.3%	78.4%	69.7%	87.3%
61	92.8%	90.9%	94.8%	79.7%	71.5%	88.2%
60	93.4%	91.7%	95.2%	81%	73.2%	89.1%
59	94%	92.5%	95.7%	82.2%	74.9%	89.8%
58	94.6%	93.1%	96%	83.4%	76.5%	90.6%
57	95.1%	93.8%	96.4%	84.5%	78%	91.3%
56	95.5%	94.3%	96.7%	85.5%	79.5%	91.9%
55	95.9%	94.8%	97%	86.5%	80.9%	92.5%
54	96.3%	95.3%	97.2%	87.4%	82.2%	93%
53	96.6%	95.7%	97.5%	88.3%	83.4%	93.5%
52	96.9%	96.1%	97.7%	89.1%	84.5%	94%
51	97.1%	96.4%	97.9%	89.9%	85.6%	94.4%
50	97.3%	96.7%	98%	90.6%	86.6%	94.8%
49	97.5%	96.9%	98.2%	91.3%	87.6%	95.2%
48	97.7%	97.2%	98.3%	91.9%	88.5%	95.5%
47	97.9%	97.4%	98.5%	92.5%	89.3%	95.8%
46	98%	97.6%	98.6%	93%	90.1%	96.1%
45	98.2%	97.7%	98.7%	93.5%	90.8%	96.3%
44	98.3%	97.9%	98.8%	93.9%	91.5%	96.6%
43	98.4%	98%	98.8%	94.4%	92.1%	96.8%
42	98.5%	98.1%	98.9%	94.7%	92.7%	97%
41	98.6%	98.3%	99%	95.1%	93.2%	97.1%
40	98.7%	98.4%	99%	95.4%	93.6%	97.3%
39	98.8%	98.5%	99.1%	95.7%	94.1%	97.4%
38	98.8%	98.6%	99.1%	96%	94.5%	97.6%
37	98.9%	98.6%	99.2%	96.2%	94.9%	97.7%
36	99%	98.7%	99.2%	96.5%	95.2%	97.8%
35	99%	98.8%	99.3%	96.7%	95.5%	97.9%
34	99.1%	98.9%	99.3%	96.9%	95.8%	98%
33	99.1%	98.9%	99.3%	97%	96.1%	98.1%
32	99.2%	99%	99.4%	97.2%	96.3%	98.2%
31	99.2%	99%	99.4%	97.3%	96.5%	98.2%
30	99.2%	99.1%	99.4%	97.5%	96.7%	98.3%
29	99.3%	99.1%	99.4%	97.6%	96.9%	98.4%
28	99.3%	99.2%	99.5%	97.7%	97%	98.4%
27	99.3%	99.2%	99.5%	97.8%	97.2%	98.5%
26	99.4%	99.2%	99.5%	97.9%	97.3%	98.6%
25	99.4%	99.3%	99.5%	98%	97.5%	98.6%
24	99.4%	99.3%	99.5%	98.1%	97.6%	98.7%
23	99.4%	99.4%	99.5%	98.2%	97.7%	98.7%
22	99.5%	99.4%	99.5%	98.3%	97.9%	98.8%
21	99.5%	99.4%	99.6%	98.4%	98%	98.8%
20	99.5%	99.5%	99.6%	98.5%	98.1%	98.8%
19	99.5%	99.5%	99.6%	98.5%	98.2%	98.9%
18	99.6%	99.5%	99.6%	98.6%	98.3%	98.9%
17	99.6%	99.6%	99.6%	98.7%	98.4%	99%
16	99.6%	99.6%	99.6%	98.7%	98.4%	99%
15	99.6%	99.6%	99.6%	98.7%	98.5%	99%
14	99.6%	99.6%	99.7%	98.8%	98.5%	99.1%
13	99.6%	99.6%	99.7%	98.8%	98.6%	99.1%
12	99.6%	99.6%	99.7%	98.8%	98.6%	99.1%
11	99.6%	99.6%	99.7%	98.9%	98.6%	99.1%
10	99.7%	99.6%	99.7%	98.9%	98.7%	99.1%
9	99.7%	99.6%	99.7%	98.9%	98.7%	99.1%
8	99.7%	99.6%	99.7%	98.9%	98.7%	99.2%
7	99.7%	99.6%	99.7%	98.9%	98.7%	99.2%
6	99.7%	99.7%	99.7%	99%	98.8%	99.2%
5	99.7%	99.7%	99.7%	99%	98.8%	99.2%
4	99.7%	99.7%	99.7%	99%	98.8%	99.2%
3	99.7%	99.7%	99.7%	99.1%	98.9%	99.3%
2	99.7%	99.7%	99.7%	99.1%	98.9%	99.3%
1	99.7%	99.7%	99.8%	99.2%	99%	99.4%

This chart shows the odds of living to each age from birth. 93.4% of newborns in Germany and 81% in Mongolia are expected to live past 60, 84.3% and 64.7% past 70, 66.5% and 38.4% past 80, and only 28.7% and 10% 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

Mongolia

Male

Female

1x

Age	Probability of dying
	Germany			Mongolia
	Average	Male	Female	Average	Male	Female
100	38.4%	40.3%	37.9%	41.6%	43.1%	41.2%
99	35.8%	37.9%	35.2%	39.1%	40.8%	38.7%
98	33.3%	35.4%	32.6%	36.2%	38.2%	35.7%
97	30.7%	32.9%	30%	33.5%	35.7%	32.8%
96	28.2%	30.5%	27.3%	30.9%	33.3%	30.2%
95	25.7%	28.2%	24.7%	28.5%	31.1%	27.7%
94	23.3%	25.9%	22.2%	26.2%	29%	25.3%
93	21.1%	23.6%	20%	24.4%	27.2%	23.4%
92	19%	21.3%	17.9%	22.6%	25.4%	21.6%
91	17%	19.1%	15.9%	20.9%	23.7%	19.9%
90	15.1%	17.1%	14%	19.3%	22%	18.3%
89	13.4%	15.4%	12.3%	17.9%	20.5%	16.7%
88	11.9%	13.7%	10.7%	16.5%	19%	15.3%
87	10.5%	12.2%	9.36%	15.2%	17.7%	13.9%
86	9.19%	10.8%	8.11%	13.9%	16.4%	12.6%
85	8.04%	9.54%	6.99%	12.8%	15.3%	11.4%
84	7.01%	8.39%	6.01%	11.7%	14.2%	10.3%
83	6.11%	7.38%	5.17%	10.7%	13.2%	9.28%
82	5.32%	6.49%	4.45%	9.72%	12.2%	8.35%
81	4.65%	5.72%	3.83%	8.85%	11.3%	7.51%
80	4.06%	5.05%	3.29%	8.05%	10.4%	6.74%
79	3.56%	4.47%	2.82%	7.32%	9.64%	6.06%
78	3.13%	3.98%	2.44%	6.66%	8.89%	5.44%
77	2.8%	3.59%	2.14%	6.06%	8.21%	4.87%
76	2.53%	3.26%	1.92%	5.53%	7.59%	4.36%
75	2.31%	2.99%	1.74%	5.09%	7.02%	3.96%
74	2.12%	2.74%	1.59%	4.68%	6.49%	3.59%
73	1.95%	2.53%	1.45%	4.31%	6%	3.26%
72	1.8%	2.34%	1.34%	3.97%	5.55%	2.96%
71	1.67%	2.17%	1.23%	3.65%	5.13%	2.69%
70	1.54%	2.01%	1.12%	3.35%	4.74%	2.44%
69	1.42%	1.86%	1.02%	3.09%	4.38%	2.21%
68	1.32%	1.73%	0.94%	2.84%	4.06%	2.01%
67	1.23%	1.61%	0.86%	2.62%	3.75%	1.82%
66	1.14%	1.49%	0.79%	2.42%	3.47%	1.65%
65	1.05%	1.39%	0.73%	2.23%	3.21%	1.5%
64	0.98%	1.29%	0.67%	2.06%	2.96%	1.36%
63	0.9%	1.19%	0.62%	1.91%	2.79%	1.22%
62	0.82%	1.08%	0.57%	1.78%	2.63%	1.11%
61	0.75%	0.98%	0.52%	1.67%	2.49%	1.01%
60	0.69%	0.89%	0.48%	1.58%	2.36%	0.94%
59	0.62%	0.81%	0.44%	1.49%	2.24%	0.87%
58	0.57%	0.74%	0.39%	1.4%	2.11%	0.81%
57	0.51%	0.66%	0.36%	1.32%	1.98%	0.75%
56	0.46%	0.6%	0.33%	1.23%	1.84%	0.69%
55	0.42%	0.54%	0.29%	1.14%	1.71%	0.64%
54	0.37%	0.48%	0.26%	1.06%	1.58%	0.58%
53	0.33%	0.43%	0.24%	0.98%	1.46%	0.54%
52	0.29%	0.38%	0.21%	0.91%	1.35%	0.49%
51	0.26%	0.33%	0.19%	0.85%	1.26%	0.45%
50	0.24%	0.3%	0.17%	0.79%	1.17%	0.41%
49	0.21%	0.27%	0.16%	0.73%	1.1%	0.38%
48	0.19%	0.24%	0.14%	0.68%	1.02%	0.35%
47	0.17%	0.21%	0.12%	0.63%	0.94%	0.32%
46	0.15%	0.19%	0.11%	0.58%	0.87%	0.29%
45	0.14%	0.17%	0.1%	0.53%	0.8%	0.26%
44	0.12%	0.16%	0.09%	0.48%	0.73%	0.24%
43	0.11%	0.14%	0.08%	0.44%	0.66%	0.21%
42	0.1%	0.13%	0.07%	0.4%	0.6%	0.2%
41	0.09%	0.12%	0.07%	0.37%	0.55%	0.18%
40	0.09%	0.11%	0.06%	0.34%	0.51%	0.17%
39	0.08%	0.1%	0.06%	0.31%	0.46%	0.15%
38	0.07%	0.09%	0.05%	0.28%	0.43%	0.14%
37	0.07%	0.08%	0.05%	0.26%	0.39%	0.13%
36	0.06%	0.08%	0.04%	0.24%	0.36%	0.11%
35	0.06%	0.07%	0.04%	0.22%	0.33%	0.1%
34	0.05%	0.07%	0.04%	0.2%	0.3%	0.09%
33	0.05%	0.06%	0.03%	0.18%	0.27%	0.09%
32	0.05%	0.06%	0.03%	0.16%	0.24%	0.08%
31	0.04%	0.05%	0.03%	0.15%	0.22%	0.07%
30	0.04%	0.05%	0.03%	0.14%	0.2%	0.07%
29	0.04%	0.05%	0.02%	0.13%	0.18%	0.07%
28	0.03%	0.04%	0.02%	0.12%	0.17%	0.06%
27	0.03%	0.04%	0.02%	0.11%	0.16%	0.06%
26	0.03%	0.04%	0.02%	0.1%	0.15%	0.06%
25	0.03%	0.04%	0.02%	0.1%	0.14%	0.05%
24	0.03%	0.04%	0.02%	0.09%	0.14%	0.05%
23	0.03%	0.04%	0.02%	0.09%	0.13%	0.05%
22	0.03%	0.04%	0.01%	0.09%	0.13%	0.05%
21	0.03%	0.04%	0.01%	0.08%	0.12%	0.05%
20	0.03%	0.04%	0.02%	0.08%	0.11%	0.04%
19	0.03%	0.03%	0.02%	0.07%	0.1%	0.04%
18	0.02%	0.03%	0.01%	0.07%	0.09%	0.04%
17	0.02%	0.03%	0.01%	0.06%	0.08%	0.04%
16	0.02%	0.02%	0.01%	0.05%	0.07%	0.04%
15	0.01%	0.01%	0.01%	0.04%	0.06%	0.03%
14	0.009%	0.01%	0.009%	0.04%	0.05%	0.03%
13	0.008%	0.008%	0.008%	0.03%	0.04%	0.02%
12	0.007%	0.007%	0.007%	0.03%	0.03%	0.02%
11	0.006%	0.006%	0.006%	0.02%	0.03%	0.02%
10	0.006%	0.006%	0.005%	0.02%	0.03%	0.02%
9	0.006%	0.006%	0.005%	0.02%	0.03%	0.01%
8	0.006%	0.007%	0.005%	0.02%	0.03%	0.01%
7	0.006%	0.007%	0.005%	0.02%	0.03%	0.01%
6	0.007%	0.008%	0.006%	0.02%	0.03%	0.02%
5	0.008%	0.008%	0.007%	0.03%	0.03%	0.02%
4	0.008%	0.009%	0.008%	0.03%	0.04%	0.02%
3	0.009%	0.009%	0.008%	0.04%	0.05%	0.03%
2	0.01%	0.01%	0.009%	0.05%	0.06%	0.05%
1	0.03%	0.03%	0.02%	0.07%	0.07%	0.06%
0	0.26%	0.28%	0.24%	0.81%	0.99%	0.63%

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

The annual chance of dying is 0.26% in the birth year in Germany and 0.81% in Mongolia, 0.04% vs 0.14% at age 30, 0.69% vs 1.58% at 60, and 4.06% vs 8.05% at 80.

Death rate by age in Germany vs Mongolia

Chart Table

Germany

Male

Female

Mongolia

Male

Female

1x

Age	Death rate
	Germany			Mongolia
	Total	Male	Female	Total	Male	Female
100	411	149.7	645	61.4	1.99	128.3
99	874	530	1,197	227	85.9	382
98	1,217	768	1,642	329	130	548
97	1,623	1,066	2,155	457	188.9	751
96	2,070	1,421	2,698	611	264.4	989
95	2,537	1,824	3,236	788	358	1,257
94	3,012	2,264	3,756	981	470	1,538
93	3,456	2,699	4,218	1,207	606	1,860
92	3,843	3,091	4,602	1,446	759	2,189
91	4,141	3,427	4,868	1,693	926	2,515
90	4,341	3,710	4,988	1,941	1,104	2,825
89	4,447	3,930	4,984	2,183	1,290	3,108
88	4,458	4,061	4,878	2,409	1,480	3,351
87	4,390	4,114	4,689	2,613	1,672	3,544
86	4,248	4,095	4,424	2,787	1,860	3,680
85	4,039	3,995	4,101	2,926	2,041	3,757
84	3,788	3,836	3,753	3,031	2,211	3,780
83	3,517	3,640	3,402	3,099	2,365	3,753
82	3,238	3,424	3,062	3,131	2,497	3,684
81	2,964	3,202	2,740	3,127	2,605	3,581
80	2,702	2,979	2,436	3,093	2,686	3,449
79	2,452	2,760	2,150	3,035	2,744	3,298
78	2,230	2,560	1,904	2,959	2,779	3,130
77	2,048	2,391	1,710	2,868	2,795	2,949
76	1,900	2,250	1,561	2,769	2,794	2,760
75	1,777	2,125	1,442	2,684	2,779	2,608
74	1,662	2,004	1,335	2,592	2,749	2,456
73	1,560	1,893	1,240	2,493	2,705	2,304
72	1,471	1,797	1,157	2,388	2,648	2,155
71	1,389	1,705	1,078	2,280	2,581	2,010
70	1,300	1,607	995	2,169	2,504	1,869
69	1,217	1,514	916	2,060	2,421	1,734
68	1,142	1,432	848	1,953	2,334	1,607
67	1,075	1,357	788	1,849	2,243	1,485
66	1,007	1,280	730	1,748	2,149	1,371
65	943	1,205	676	1,650	2,052	1,263
64	884	1,135	627	1,554	1,955	1,162
63	821	1,055	579	1,470	1,891	1,058
62	757	972	534	1,398	1,833	969
61	699	895	495	1,334	1,780	895
60	642	821	457	1,278	1,729	834
59	587	753	416	1,223	1,675	779
58	535	687	378	1,169	1,613	730
57	487	623	346	1,112	1,543	682
56	441	563	316	1,051	1,464	635
55	398	508	285.7	988	1,380	589
54	358	456	256.9	925	1,296	544
53	320	407	231.5	866	1,217	502
52	284.9	360	208.4	811	1,144	463
51	254.5	320	188	761	1,078	427
50	229.5	287.6	170.4	715	1,018	393
49	207	259.3	153.8	670	960	362
48	185.3	232.3	137.5	626	902	332
47	165.7	208.4	122.3	582	843	303
46	149.1	188.7	108.9	537	783	276
45	134.2	170.5	97.3	494	722	250.7
44	120.3	152.3	87.5	453	664	227.8
43	108.4	137.1	78.7	414	609	207.5
42	99.4	126.7	71	380	560	189.8
41	91.5	117.1	64.6	350	515	174.4
40	84.2	107.7	59.5	322	474	160.6
39	76.9	97.9	54.6	296.9	437	147.8
38	70.3	89.5	49.8	273.3	403	135.5
37	64.7	83.1	44.9	250.9	371	123.6
36	59.4	77	40.6	229.7	340	112.1
35	55	71.1	37.8	209.7	311	101.5
34	51	65.8	35.2	191.2	283.6	92.3
33	47.6	61.9	32.2	174.3	258	84.5
32	44.7	58.3	30	159.1	234.4	78.3
31	42	54	28.8	145.7	213	73.4
30	38.5	49.5	26.4	134	194.3	69.4
29	34.9	45.3	23.4	124	178.3	66
28	32.1	42.4	20.8	115.5	164.9	62.8
27	30	40.3	18.5	108.3	154	59.5
26	28.6	39.3	16.8	102.2	145.3	56.1
25	27.6	38.6	15.7	97.3	138.6	52.9
24	26.9	37.6	15.2	93.1	133	49.9
23	26.2	36.7	15	89.5	128.2	47.7
22	25.7	36.2	14.6	86.4	123.5	46.1
21	25.6	36	14.7	83.1	118.1	45.1
20	26.1	36	15.5	79.1	111.2	44.4
19	25.3	34.6	15.4	73.8	102.1	43.2
18	22.9	30.7	14.5	67.2	91.1	41.4
17	19.5	25.1	13.6	59.5	78.9	38.6
16	15.5	18.8	12.1	51.3	66.7	34.9
15	12	13.8	10.2	43.5	55.4	30.7
14	9.35	10.1	8.53	36.4	45.8	26.4
13	7.7	7.78	7.61	30.6	38.3	22.4
12	6.7	6.53	6.87	26.2	32.7	19.1
11	6.08	6.17	5.99	23	28.9	16.6
10	5.74	6.23	5.22	20.9	26.6	14.9
9	5.49	6.23	4.71	19.9	25.5	13.9
8	5.54	6.48	4.56	19.6	25.5	13.4
7	5.96	6.94	4.91	20.4	26.6	13.8
6	6.74	7.49	5.95	22.6	29.2	15.6
5	7.69	8.09	7.28	26.5	33.5	19.1
4	8.4	8.73	8.05	32.2	39.5	24.6
3	8.73	9.26	8.17	40.3	47.5	32.7
2	10.1	11	9.22	51.5	58	44.7
1	27.4	29.9	24.7	66.9	71.4	62.1
0	263.3	281	244.7	813	988	631

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 82 in Mongolia. The median age of death is 85.1 in Germany and 76 in Mongolia, 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 Mongolia more than their death rates.

Life expectancy in other countries

+ -

1x