Life Expectancy in Germany vs Nepal (1950-2026)

Life expectancy by current age

Chart Table

Germany

Male

Female

Nepal

Male

Female

1x

Current age, years	Total life expectancy, years
	Germany			Nepal
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	101.7	101.6	101.7
99	101	100.9	101.1	100.7	100.6	100.8
98	100.2	100.1	100.2	99.8	99.7	99.8
97	99.4	99.2	99.4	98.9	98.8	98.9
96	98.6	98.4	98.6	98	97.9	98
95	97.8	97.6	97.9	97.1	97	97.2
94	97	96.8	97.1	96.3	96.1	96.3
93	96.3	96	96.4	95.4	95.2	95.5
92	95.6	95.3	95.7	94.6	94.4	94.7
91	94.9	94.5	95	93.8	93.5	93.9
90	94.2	93.9	94.4	93	92.7	93.1
89	93.6	93.2	93.8	92.2	91.9	92.3
88	93	92.5	93.2	91.4	91.2	91.6
87	92.4	91.9	92.7	90.7	90.4	90.8
86	91.9	91.3	92.2	89.9	89.7	90.1
85	91.3	90.8	91.7	89.2	89	89.4
84	90.9	90.3	91.3	88.5	88.2	88.7
83	90.4	89.8	90.9	87.8	87.6	88
82	90	89.3	90.5	87.1	86.9	87.3
81	89.6	88.8	90.2	86.5	86.2	86.7
80	89.2	88.4	89.8	85.9	85.6	86.1
79	88.9	88	89.6	85.3	85	85.5
78	88.6	87.6	89.3	84.7	84.4	85
77	88.2	87.3	89	84.2	83.8	84.5
76	88	86.9	88.8	83.6	83.2	84
75	87.7	86.6	88.6	83.1	82.7	83.5
74	87.4	86.3	88.3	82.6	82.2	83
73	87.1	85.9	88.1	82.2	81.7	82.6
72	86.9	85.6	87.9	81.7	81.2	82.2
71	86.6	85.3	87.7	81.3	80.7	81.8
70	86.3	85	87.5	80.9	80.3	81.4
69	86.1	84.7	87.3	80.5	79.8	81
68	85.9	84.4	87.2	80.1	79.4	80.7
67	85.6	84.2	87	79.7	79	80.4
66	85.4	83.9	86.8	79.4	78.6	80
65	85.2	83.7	86.7	79	78.3	79.8
64	85	83.4	86.5	78.7	77.9	79.5
63	84.8	83.2	86.4	78.4	77.6	79.2
62	84.6	82.9	86.2	78.2	77.3	79
61	84.5	82.7	86.1	77.9	77	78.8
60	84.3	82.5	86	77.6	76.7	78.5
59	84.1	82.3	85.9	77.4	76.4	78.3
58	84	82.2	85.8	77.2	76.1	78.1
57	83.9	82	85.7	77	75.9	77.9
56	83.7	81.9	85.6	76.7	75.7	77.8
55	83.6	81.7	85.5	76.5	75.4	77.6
54	83.5	81.6	85.4	76.4	75.2	77.4
53	83.4	81.5	85.3	76.2	75	77.3
52	83.3	81.4	85.3	76	74.8	77.1
51	83.2	81.3	85.2	75.9	74.7	77
50	83.2	81.2	85.1	75.7	74.5	76.9
49	83.1	81.1	85.1	75.6	74.4	76.7
48	83	81	85	75.4	74.2	76.6
47	83	80.9	85	75.3	74.1	76.5
46	82.9	80.9	84.9	75.2	73.9	76.4
45	82.9	80.8	84.9	75.1	73.8	76.3
44	82.8	80.7	84.9	75	73.7	76.2
43	82.8	80.7	84.8	74.9	73.6	76.1
42	82.7	80.6	84.8	74.8	73.5	76
41	82.7	80.6	84.8	74.7	73.4	75.9
40	82.7	80.6	84.7	74.6	73.3	75.8
39	82.6	80.5	84.7	74.5	73.2	75.8
38	82.6	80.5	84.7	74.5	73.2	75.7
37	82.6	80.4	84.7	74.4	73.1	75.6
36	82.5	80.4	84.6	74.3	73	75.5
35	82.5	80.4	84.6	74.3	72.9	75.5
34	82.5	80.3	84.6	74.2	72.9	75.4
33	82.5	80.3	84.6	74.1	72.8	75.4
32	82.4	80.3	84.6	74.1	72.7	75.3
31	82.4	80.3	84.6	74	72.7	75.2
30	82.4	80.2	84.5	73.9	72.6	75.2
29	82.4	80.2	84.5	73.9	72.6	75.1
28	82.4	80.2	84.5	73.8	72.5	75.1
27	82.3	80.2	84.5	73.8	72.4	75
26	82.3	80.1	84.5	73.7	72.4	75
25	82.3	80.1	84.5	73.6	72.3	74.9
24	82.3	80.1	84.5	73.6	72.2	74.8
23	82.3	80.1	84.5	73.5	72.1	74.8
22	82.3	80.1	84.5	73.5	72.1	74.7
21	82.2	80	84.5	73.4	72	74.7
20	82.2	80	84.4	73.3	71.9	74.7
19	82.2	80	84.4	73.3	71.9	74.6
18	82.2	80	84.4	73.2	71.8	74.6
17	82.2	80	84.4	73.2	71.8	74.5
16	82.2	80	84.4	73.1	71.7	74.5
15	82.2	79.9	84.4	73.1	71.7	74.5
14	82.2	79.9	84.4	73.1	71.6	74.4
13	82.2	79.9	84.4	73	71.6	74.4
12	82.2	79.9	84.4	73	71.6	74.4
11	82.2	79.9	84.4	73	71.5	74.4
10	82.1	79.9	84.4	73	71.5	74.3
9	82.1	79.9	84.4	72.9	71.5	74.3
8	82.1	79.9	84.4	72.9	71.4	74.3
7	82.1	79.9	84.4	72.9	71.4	74.3
6	82.1	79.9	84.4	72.8	71.3	74.2
5	82.1	79.9	84.4	72.8	71.3	74.2
4	82.1	79.9	84.4	72.7	71.2	74.1
3	82.1	79.9	84.3	72.7	71.2	74.1
2	82.1	79.9	84.3	72.6	71.1	74
1	82.1	79.8	84.3	72.5	71	73.9
0	81.9	79.6	84.1	71.2	69.6	72.7

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 73.9 in Nepal, rising to 85.2 and 79 at 65, and to 89.2 and 85.9 at 80 — higher than the 81.9 and 71.2 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Germany

Male

Female

Nepal

Male

Female

1x

Age	Survival probability
	Germany			Nepal
	Average	Male	Female	Average	Male	Female
100	1.57%	0.87%	2.2%	0.09%	0.05%	0.13%
99	2.44%	1.4%	3.4%	0.16%	0.09%	0.23%
98	3.66%	2.17%	5.04%	0.27%	0.15%	0.39%
97	5.28%	3.24%	7.19%	0.45%	0.26%	0.63%
96	7.35%	4.66%	9.89%	0.71%	0.43%	0.99%
95	9.89%	6.48%	13.1%	1.1%	0.69%	1.5%
94	12.9%	8.74%	16.9%	1.63%	1.06%	2.19%
93	16.4%	11.4%	21.1%	2.35%	1.6%	3.1%
92	20.2%	14.5%	25.7%	3.29%	2.32%	4.24%
91	24.3%	18%	30.6%	4.47%	3.28%	5.65%
90	28.7%	21.7%	35.6%	5.92%	4.48%	7.36%
89	33.1%	25.6%	40.5%	7.66%	5.94%	9.36%
88	37.6%	29.7%	45.4%	9.68%	7.66%	11.7%
87	42%	33.8%	50.1%	12%	9.64%	14.3%
86	46.2%	37.9%	54.5%	14.6%	11.9%	17.3%
85	50.3%	41.9%	58.6%	17.4%	14.4%	20.5%
84	54%	45.7%	62.4%	20.5%	17.1%	23.9%
83	57.6%	49.3%	65.8%	23.8%	20%	27.5%
82	60.8%	52.8%	68.9%	27.2%	23.1%	31.2%
81	63.8%	56%	71.6%	30.7%	26.3%	35%
80	66.5%	58.9%	74%	34.2%	29.6%	38.7%
79	68.9%	61.7%	76.2%	37.7%	32.9%	42.4%
78	71.2%	64.3%	78.1%	41.2%	36.3%	46%
77	73.2%	66.7%	79.8%	44.6%	39.6%	49.5%
76	75.1%	68.9%	81.4%	48%	42.9%	52.8%
75	76.9%	71%	82.8%	51.2%	46.1%	56%
74	78.5%	73%	84.1%	54.3%	49.3%	59.1%
73	80.1%	74.9%	85.4%	57.2%	52.3%	62%
72	81.6%	76.7%	86.5%	60%	55.2%	64.6%
71	83%	78.4%	87.6%	62.7%	58%	67.2%
70	84.3%	80%	88.6%	65.2%	60.7%	69.5%
69	85.5%	81.6%	89.5%	67.6%	63.3%	71.7%
68	86.6%	83%	90.4%	69.8%	65.7%	73.7%
67	87.7%	84.3%	91.2%	71.8%	67.9%	75.5%
66	88.7%	85.6%	91.9%	73.8%	70.1%	77.2%
65	89.6%	86.8%	92.6%	75.5%	72%	78.8%
64	90.5%	88%	93.2%	77.2%	73.9%	80.2%
63	91.3%	89%	93.8%	78.7%	75.7%	81.5%
62	92.1%	90%	94.3%	80.1%	77.3%	82.7%
61	92.8%	90.9%	94.8%	81.4%	78.8%	83.8%
60	93.4%	91.7%	95.2%	82.6%	80.2%	84.8%
59	94%	92.5%	95.7%	83.7%	81.5%	85.7%
58	94.6%	93.1%	96%	84.8%	82.7%	86.6%
57	95.1%	93.8%	96.4%	85.7%	83.9%	87.4%
56	95.5%	94.3%	96.7%	86.6%	84.9%	88.1%
55	95.9%	94.8%	97%	87.4%	85.8%	88.8%
54	96.3%	95.3%	97.2%	88.2%	86.7%	89.5%
53	96.6%	95.7%	97.5%	88.8%	87.5%	90%
52	96.9%	96.1%	97.7%	89.5%	88.2%	90.6%
51	97.1%	96.4%	97.9%	90%	88.9%	91.1%
50	97.3%	96.7%	98%	90.6%	89.5%	91.5%
49	97.5%	96.9%	98.2%	91.1%	90%	92%
48	97.7%	97.2%	98.3%	91.5%	90.5%	92.4%
47	97.9%	97.4%	98.5%	91.9%	91%	92.7%
46	98%	97.6%	98.6%	92.3%	91.4%	93.1%
45	98.2%	97.7%	98.7%	92.6%	91.8%	93.4%
44	98.3%	97.9%	98.8%	93%	92.2%	93.7%
43	98.4%	98%	98.8%	93.2%	92.5%	94%
42	98.5%	98.1%	98.9%	93.5%	92.8%	94.2%
41	98.6%	98.3%	99%	93.8%	93.1%	94.4%
40	98.7%	98.4%	99%	94%	93.3%	94.6%
39	98.8%	98.5%	99.1%	94.2%	93.5%	94.8%
38	98.8%	98.6%	99.1%	94.4%	93.7%	95%
37	98.9%	98.6%	99.2%	94.6%	93.9%	95.2%
36	99%	98.7%	99.2%	94.8%	94.1%	95.4%
35	99%	98.8%	99.3%	94.9%	94.3%	95.5%
34	99.1%	98.9%	99.3%	95.1%	94.5%	95.7%
33	99.1%	98.9%	99.3%	95.2%	94.6%	95.8%
32	99.2%	99%	99.4%	95.4%	94.8%	96%
31	99.2%	99%	99.4%	95.5%	95%	96.1%
30	99.2%	99.1%	99.4%	95.7%	95.1%	96.2%
29	99.3%	99.1%	99.4%	95.8%	95.2%	96.3%
28	99.3%	99.2%	99.5%	95.9%	95.4%	96.5%
27	99.3%	99.2%	99.5%	96%	95.5%	96.6%
26	99.4%	99.2%	99.5%	96.2%	95.7%	96.7%
25	99.4%	99.3%	99.5%	96.3%	95.8%	96.8%
24	99.4%	99.3%	99.5%	96.4%	95.9%	96.9%
23	99.4%	99.4%	99.5%	96.5%	96.1%	97%
22	99.5%	99.4%	99.5%	96.6%	96.2%	97.1%
21	99.5%	99.4%	99.6%	96.7%	96.3%	97.2%
20	99.5%	99.5%	99.6%	96.8%	96.5%	97.2%
19	99.5%	99.5%	99.6%	97%	96.6%	97.3%
18	99.6%	99.5%	99.6%	97%	96.7%	97.4%
17	99.6%	99.6%	99.6%	97.1%	96.8%	97.5%
16	99.6%	99.6%	99.6%	97.2%	96.9%	97.5%
15	99.6%	99.6%	99.6%	97.3%	97%	97.6%
14	99.6%	99.6%	99.7%	97.3%	97%	97.6%
13	99.6%	99.6%	99.7%	97.4%	97.1%	97.6%
12	99.6%	99.6%	99.7%	97.4%	97.1%	97.7%
11	99.6%	99.6%	99.7%	97.4%	97.2%	97.7%
10	99.7%	99.6%	99.7%	97.5%	97.2%	97.8%
9	99.7%	99.6%	99.7%	97.5%	97.3%	97.8%
8	99.7%	99.6%	99.7%	97.6%	97.3%	97.8%
7	99.7%	99.6%	99.7%	97.6%	97.4%	97.9%
6	99.7%	99.7%	99.7%	97.7%	97.5%	97.9%
5	99.7%	99.7%	99.7%	97.8%	97.5%	98%
4	99.7%	99.7%	99.7%	97.8%	97.6%	98.1%
3	99.7%	99.7%	99.7%	97.9%	97.7%	98.2%
2	99.7%	99.7%	99.7%	98%	97.8%	98.3%
1	99.7%	99.7%	99.8%	98.1%	97.9%	98.4%

This chart shows the odds of living to each age from birth. 93.4% of newborns in Germany and 82.6% in Nepal are expected to live past 60, 84.3% and 65.2% past 70, 66.5% and 34.2% past 80, and only 28.7% and 5.92% 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

Nepal

Male

Female

1x

Age	Probability of dying
	Germany			Nepal
	Average	Male	Female	Average	Male	Female
100	38.4%	40.3%	37.9%	45.7%	47.1%	45.1%
99	35.8%	37.9%	35.2%	43.5%	45.2%	42.8%
98	33.3%	35.4%	32.6%	41.5%	43.2%	40.8%
97	30.7%	32.9%	30%	39.4%	41.2%	38.7%
96	28.2%	30.5%	27.3%	37.2%	39.3%	36.4%
95	25.7%	28.2%	24.7%	35%	37.3%	34%
94	23.3%	25.9%	22.2%	32.8%	35.4%	31.6%
93	21.1%	23.6%	20%	30.6%	33.4%	29.2%
92	19%	21.3%	17.9%	28.5%	31.2%	27%
91	17%	19.1%	15.9%	26.4%	29%	25%
90	15.1%	17.1%	14%	24.5%	26.8%	23.1%
89	13.4%	15.4%	12.3%	22.7%	24.6%	21.4%
88	11.9%	13.7%	10.7%	20.9%	22.5%	19.9%
87	10.5%	12.2%	9.36%	19.3%	20.6%	18.4%
86	9.19%	10.8%	8.11%	17.8%	18.8%	17%
85	8.04%	9.54%	6.99%	16.3%	17.3%	15.7%
84	7.01%	8.39%	6.01%	15%	15.9%	14.4%
83	6.11%	7.38%	5.17%	13.7%	14.6%	13.1%
82	5.32%	6.49%	4.45%	12.5%	13.4%	11.9%
81	4.65%	5.72%	3.83%	11.4%	12.2%	10.7%
80	4.06%	5.05%	3.29%	10.3%	11.2%	9.68%
79	3.56%	4.47%	2.82%	9.35%	10.2%	8.71%
78	3.13%	3.98%	2.44%	8.46%	9.25%	7.82%
77	2.8%	3.59%	2.14%	7.65%	8.42%	7.03%
76	2.53%	3.26%	1.92%	6.93%	7.67%	6.33%
75	2.31%	2.99%	1.74%	6.28%	6.99%	5.7%
74	2.12%	2.74%	1.59%	5.7%	6.37%	5.14%
73	1.95%	2.53%	1.45%	5.17%	5.81%	4.63%
72	1.8%	2.34%	1.34%	4.69%	5.3%	4.17%
71	1.67%	2.17%	1.23%	4.25%	4.84%	3.75%
70	1.54%	2.01%	1.12%	3.85%	4.41%	3.37%
69	1.42%	1.86%	1.02%	3.49%	4.01%	3.02%
68	1.32%	1.73%	0.94%	3.16%	3.66%	2.71%
67	1.23%	1.61%	0.86%	2.86%	3.33%	2.44%
66	1.14%	1.49%	0.79%	2.59%	3.03%	2.19%
65	1.05%	1.39%	0.73%	2.35%	2.77%	1.97%
64	0.98%	1.29%	0.67%	2.13%	2.52%	1.78%
63	0.9%	1.19%	0.62%	1.94%	2.31%	1.61%
62	0.82%	1.08%	0.57%	1.76%	2.11%	1.45%
61	0.75%	0.98%	0.52%	1.6%	1.93%	1.32%
60	0.69%	0.89%	0.48%	1.46%	1.76%	1.2%
59	0.62%	0.81%	0.44%	1.33%	1.61%	1.09%
58	0.57%	0.74%	0.39%	1.21%	1.47%	1%
57	0.51%	0.66%	0.36%	1.11%	1.34%	0.91%
56	0.46%	0.6%	0.33%	1.01%	1.21%	0.83%
55	0.42%	0.54%	0.29%	0.92%	1.1%	0.77%
54	0.37%	0.48%	0.26%	0.84%	1%	0.7%
53	0.33%	0.43%	0.24%	0.77%	0.9%	0.65%
52	0.29%	0.38%	0.21%	0.7%	0.82%	0.6%
51	0.26%	0.33%	0.19%	0.64%	0.74%	0.55%
50	0.24%	0.3%	0.17%	0.59%	0.68%	0.51%
49	0.21%	0.27%	0.16%	0.54%	0.62%	0.47%
48	0.19%	0.24%	0.14%	0.49%	0.56%	0.43%
47	0.17%	0.21%	0.12%	0.45%	0.51%	0.4%
46	0.15%	0.19%	0.11%	0.41%	0.46%	0.36%
45	0.14%	0.17%	0.1%	0.37%	0.42%	0.33%
44	0.12%	0.16%	0.09%	0.34%	0.38%	0.31%
43	0.11%	0.14%	0.08%	0.31%	0.35%	0.28%
42	0.1%	0.13%	0.07%	0.29%	0.32%	0.26%
41	0.09%	0.12%	0.07%	0.26%	0.29%	0.24%
40	0.09%	0.11%	0.06%	0.24%	0.27%	0.23%
39	0.08%	0.1%	0.06%	0.23%	0.25%	0.21%
38	0.07%	0.09%	0.05%	0.21%	0.23%	0.2%
37	0.07%	0.08%	0.05%	0.2%	0.21%	0.19%
36	0.06%	0.08%	0.04%	0.19%	0.2%	0.18%
35	0.06%	0.07%	0.04%	0.18%	0.19%	0.17%
34	0.05%	0.07%	0.04%	0.17%	0.18%	0.16%
33	0.05%	0.06%	0.03%	0.16%	0.17%	0.15%
32	0.05%	0.06%	0.03%	0.15%	0.16%	0.14%
31	0.04%	0.05%	0.03%	0.15%	0.16%	0.14%
30	0.04%	0.05%	0.03%	0.14%	0.15%	0.13%
29	0.04%	0.05%	0.02%	0.14%	0.15%	0.12%
28	0.03%	0.04%	0.02%	0.13%	0.15%	0.12%
27	0.03%	0.04%	0.02%	0.13%	0.14%	0.12%
26	0.03%	0.04%	0.02%	0.13%	0.14%	0.11%
25	0.03%	0.04%	0.02%	0.12%	0.14%	0.11%
24	0.03%	0.04%	0.02%	0.12%	0.15%	0.1%
23	0.03%	0.04%	0.02%	0.12%	0.15%	0.1%
22	0.03%	0.04%	0.01%	0.12%	0.15%	0.09%
21	0.03%	0.04%	0.01%	0.12%	0.14%	0.09%
20	0.03%	0.04%	0.02%	0.11%	0.14%	0.09%
19	0.03%	0.03%	0.02%	0.1%	0.13%	0.08%
18	0.02%	0.03%	0.01%	0.1%	0.12%	0.07%
17	0.02%	0.03%	0.01%	0.08%	0.1%	0.07%
16	0.02%	0.02%	0.01%	0.07%	0.09%	0.06%
15	0.01%	0.01%	0.01%	0.06%	0.07%	0.05%
14	0.009%	0.01%	0.009%	0.06%	0.06%	0.05%
13	0.008%	0.008%	0.008%	0.05%	0.06%	0.04%
12	0.007%	0.007%	0.007%	0.05%	0.05%	0.04%
11	0.006%	0.006%	0.006%	0.04%	0.05%	0.04%
10	0.006%	0.006%	0.005%	0.04%	0.05%	0.04%
9	0.006%	0.006%	0.005%	0.05%	0.05%	0.04%
8	0.006%	0.007%	0.005%	0.05%	0.06%	0.04%
7	0.006%	0.007%	0.005%	0.06%	0.06%	0.05%
6	0.007%	0.008%	0.006%	0.06%	0.07%	0.05%
5	0.008%	0.008%	0.007%	0.07%	0.08%	0.06%
4	0.008%	0.009%	0.008%	0.08%	0.08%	0.07%
3	0.009%	0.009%	0.008%	0.09%	0.09%	0.08%
2	0.01%	0.01%	0.009%	0.1%	0.1%	0.1%
1	0.03%	0.03%	0.02%	0.11%	0.11%	0.11%
0	0.26%	0.28%	0.24%	1.86%	2.07%	1.64%

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

The annual chance of dying is 0.26% in the birth year in Germany and 1.86% in Nepal, 0.04% vs 0.14% at age 30, 0.69% vs 1.46% at 60, and 4.06% vs 10.3% at 80.

Death rate by age in Germany vs Nepal

Chart Table

Germany

Male

Female

Nepal

Male

Female

1x

Age	Death rate
	Germany			Nepal
	Total	Male	Female	Total	Male	Female
100	411	149.7	645	0	0	0
99	874	530	1,197	68.9	39.5	97.6
98	1,217	768	1,642	112.5	66.5	157.4
97	1,623	1,066	2,155	176.4	108	243.4
96	2,070	1,421	2,698	265.6	169.4	360
95	2,537	1,824	3,236	384	256.9	510
94	3,012	2,264	3,756	535	377	692
93	3,456	2,699	4,218	720	533	905
92	3,843	3,091	4,602	937	726	1,146
91	4,141	3,427	4,868	1,182	951	1,412
90	4,341	3,710	4,988	1,451	1,200	1,701
89	4,447	3,930	4,984	1,735	1,460	2,008
88	4,458	4,061	4,878	2,026	1,724	2,324
87	4,390	4,114	4,689	2,315	1,985	2,639
86	4,248	4,095	4,424	2,592	2,238	2,938
85	4,039	3,995	4,101	2,849	2,481	3,207
84	3,788	3,836	3,753	3,076	2,708	3,432
83	3,517	3,640	3,402	3,263	2,911	3,602
82	3,238	3,424	3,062	3,404	3,082	3,711
81	2,964	3,202	2,740	3,494	3,213	3,758
80	2,702	2,979	2,436	3,533	3,301	3,749
79	2,452	2,760	2,150	3,528	3,347	3,693
78	2,230	2,560	1,904	3,487	3,357	3,601
77	2,048	2,391	1,710	3,416	3,335	3,482
76	1,900	2,250	1,561	3,323	3,289	3,346
75	1,777	2,125	1,442	3,214	3,223	3,197
74	1,662	2,004	1,335	3,093	3,140	3,038
73	1,560	1,893	1,240	2,960	3,041	2,870
72	1,471	1,797	1,157	2,818	2,930	2,697
71	1,389	1,705	1,078	2,668	2,807	2,519
70	1,300	1,607	995	2,514	2,676	2,342
69	1,217	1,514	916	2,358	2,539	2,167
68	1,142	1,432	848	2,205	2,400	1,998
67	1,075	1,357	788	2,055	2,261	1,839
66	1,007	1,280	730	1,912	2,125	1,690
65	943	1,205	676	1,776	1,992	1,552
64	884	1,135	627	1,646	1,865	1,425
63	821	1,055	579	1,525	1,744	1,308
62	757	972	534	1,412	1,629	1,202
61	699	895	495	1,307	1,520	1,104
60	642	821	457	1,208	1,416	1,016
59	587	753	416	1,115	1,314	935
58	535	687	378	1,029	1,216	862
57	487	623	346	949	1,122	796
56	441	563	316	877	1,030	736
55	398	508	285.7	808	944	681
54	358	456	256.9	742	863	631
53	320	407	231.5	681	789	585
52	284.9	360	208.4	626	722	542
51	254.5	320	188	577	661	503
50	229.5	287.6	170.4	531	606	466
49	207	259.3	153.8	488	555	432
48	185.3	232.3	137.5	449	508	399
47	165.7	208.4	122.3	412	464	368
46	149.1	188.7	108.9	377	423	339
45	134.2	170.5	97.3	345	386	312
44	120.3	152.3	87.5	316	351	287.9
43	108.4	137.1	78.7	289.7	320	266.1
42	99.4	126.7	71	266.7	292.7	246.8
41	91.5	117.1	64.6	246.5	268.5	229.9
40	84.2	107.7	59.5	228.8	247.4	215
39	76.9	97.9	54.6	213.3	229.3	201.6
38	70.3	89.5	49.8	199.6	213.6	189.5
37	64.7	83.1	44.9	187.6	200.2	178.3
36	59.4	77	40.6	176.8	188.7	168
35	55	71.1	37.8	167.2	178.8	158.6
34	51	65.8	35.2	158.7	170.1	150
33	47.6	61.9	32.2	151.1	162.4	142.4
32	44.7	58.3	30	144.6	155.7	135.8
31	42	54	28.8	138.8	149.8	130
30	38.5	49.5	26.4	133.9	145	124.8
29	34.9	45.3	23.4	129.7	141.2	120.1
28	32.1	42.4	20.8	126.2	138.8	115.7
27	30	40.3	18.5	123.5	137.6	111.3
26	28.6	39.3	16.8	121.3	137.5	107.1
25	27.6	38.6	15.7	119.6	138.3	102.9
24	26.9	37.6	15.2	118.3	139.4	99
23	26.2	36.7	15	117	140.1	95.4
22	25.7	36.2	14.6	115.3	139.6	91.9
21	25.6	36	14.7	112.5	137	88.4
20	26.1	36	15.5	107.8	131.6	84.2
19	25.3	34.6	15.4	101.1	123.1	79
18	22.9	30.7	14.5	92.4	111.7	72.7
17	19.5	25.1	13.6	82.1	98.4	65.2
16	15.5	18.8	12.1	71.6	85	57.5
15	12	13.8	10.2	61.8	72.7	50.3
14	9.35	10.1	8.53	53.8	62.7	44.2
13	7.7	7.78	7.61	47.9	55.6	39.7
12	6.7	6.53	6.87	44.3	51.2	37
11	6.08	6.17	5.99	42.9	49.4	35.9
10	5.74	6.23	5.22	43.4	49.8	36.5
9	5.49	6.23	4.71	45.6	52.2	38.6
8	5.54	6.48	4.56	49.4	56.2	42.1
7	5.96	6.94	4.91	54.6	61.5	47.2
6	6.74	7.49	5.95	60.9	67.9	53.7
5	7.69	8.09	7.28	68.4	74.9	61.7
4	8.4	8.73	8.05	77	82.6	71.3
3	8.73	9.26	8.17	86.8	90.8	82.8
2	10.1	11	9.22	98.1	99.7	96.4
1	27.4	29.9	24.7	111.4	110	112.9
0	263.3	281	244.7	1,857	2,067	1,637

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 80 in Nepal. The median age of death is 85.1 in Germany and 75.4 in Nepal, 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 Nepal more than their death rates.

Life expectancy in other countries

+ -

1x