Life Expectancy in Germany vs Myanmar (1950-2026)

Life expectancy by current age

Chart Table

Germany

Male

Female

Myanmar

Male

Female

1x

Current age, years	Total life expectancy, years
	Germany			Myanmar
	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	100.7
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	96.2	96.1	96.3
93	96.3	96	96.4	95.4	95.2	95.4
92	95.6	95.3	95.7	94.5	94.3	94.6
91	94.9	94.5	95	93.7	93.5	93.8
90	94.2	93.9	94.4	92.9	92.6	93
89	93.6	93.2	93.8	92.1	91.8	92.2
88	93	92.5	93.2	91.3	91	91.4
87	92.4	91.9	92.7	90.5	90.3	90.7
86	91.9	91.3	92.2	89.8	89.5	90
85	91.3	90.8	91.7	89.1	88.8	89.3
84	90.9	90.3	91.3	88.4	88	88.6
83	90.4	89.8	90.9	87.7	87.3	87.9
82	90	89.3	90.5	87	86.6	87.2
81	89.6	88.8	90.2	86.3	85.9	86.6
80	89.2	88.4	89.8	85.7	85.3	86
79	88.9	88	89.6	85.1	84.6	85.4
78	88.6	87.6	89.3	84.5	84	84.8
77	88.2	87.3	89	83.9	83.4	84.3
76	88	86.9	88.8	83.3	82.8	83.8
75	87.7	86.6	88.6	82.8	82.2	83.3
74	87.4	86.3	88.3	82.3	81.6	82.8
73	87.1	85.9	88.1	81.8	81.1	82.3
72	86.9	85.6	87.9	81.3	80.5	81.9
71	86.6	85.3	87.7	80.9	80	81.5
70	86.3	85	87.5	80.4	79.5	81.1
69	86.1	84.7	87.3	80	79.1	80.7
68	85.9	84.4	87.2	79.6	78.6	80.4
67	85.6	84.2	87	79.2	78.2	80
66	85.4	83.9	86.8	78.8	77.7	79.7
65	85.2	83.7	86.7	78.5	77.3	79.4
64	85	83.4	86.5	78.1	76.9	79.1
63	84.8	83.2	86.4	77.8	76.6	78.9
62	84.6	82.9	86.2	77.5	76.2	78.6
61	84.5	82.7	86.1	77.2	75.8	78.4
60	84.3	82.5	86	76.9	75.5	78.1
59	84.1	82.3	85.9	76.6	75.2	77.9
58	84	82.2	85.8	76.3	74.8	77.7
57	83.9	82	85.7	76.1	74.5	77.5
56	83.7	81.9	85.6	75.8	74.3	77.3
55	83.6	81.7	85.5	75.6	74	77.1
54	83.5	81.6	85.4	75.4	73.7	76.9
53	83.4	81.5	85.3	75.2	73.5	76.8
52	83.3	81.4	85.3	75	73.2	76.6
51	83.2	81.3	85.2	74.8	73	76.5
50	83.2	81.2	85.1	74.6	72.8	76.3
49	83.1	81.1	85.1	74.4	72.6	76.2
48	83	81	85	74.2	72.4	76
47	83	80.9	85	74.1	72.2	75.9
46	82.9	80.9	84.9	73.9	72	75.8
45	82.9	80.8	84.9	73.8	71.8	75.7
44	82.8	80.7	84.9	73.6	71.6	75.6
43	82.8	80.7	84.8	73.5	71.5	75.5
42	82.7	80.6	84.8	73.4	71.3	75.4
41	82.7	80.6	84.8	73.2	71.2	75.3
40	82.7	80.6	84.7	73.1	71	75.2
39	82.6	80.5	84.7	73	70.9	75.1
38	82.6	80.5	84.7	72.9	70.8	75
37	82.6	80.4	84.7	72.8	70.6	74.9
36	82.5	80.4	84.6	72.7	70.5	74.9
35	82.5	80.4	84.6	72.6	70.4	74.8
34	82.5	80.3	84.6	72.5	70.2	74.7
33	82.5	80.3	84.6	72.4	70.1	74.6
32	82.4	80.3	84.6	72.3	70	74.6
31	82.4	80.3	84.6	72.2	69.9	74.5
30	82.4	80.2	84.5	72.1	69.8	74.4
29	82.4	80.2	84.5	72	69.7	74.4
28	82.4	80.2	84.5	71.9	69.5	74.3
27	82.3	80.2	84.5	71.8	69.4	74.2
26	82.3	80.1	84.5	71.7	69.3	74.2
25	82.3	80.1	84.5	71.6	69.2	74.1
24	82.3	80.1	84.5	71.5	69.1	74
23	82.3	80.1	84.5	71.4	68.9	74
22	82.3	80.1	84.5	71.3	68.8	73.9
21	82.2	80	84.5	71.2	68.7	73.9
20	82.2	80	84.4	71.2	68.6	73.8
19	82.2	80	84.4	71.1	68.5	73.7
18	82.2	80	84.4	71	68.4	73.7
17	82.2	80	84.4	70.9	68.3	73.6
16	82.2	80	84.4	70.9	68.2	73.6
15	82.2	79.9	84.4	70.8	68.1	73.6
14	82.2	79.9	84.4	70.7	68	73.5
13	82.2	79.9	84.4	70.7	68	73.5
12	82.2	79.9	84.4	70.7	67.9	73.5
11	82.2	79.9	84.4	70.6	67.9	73.4
10	82.1	79.9	84.4	70.6	67.8	73.4
9	82.1	79.9	84.4	70.5	67.7	73.4
8	82.1	79.9	84.4	70.5	67.7	73.3
7	82.1	79.9	84.4	70.4	67.6	73.3
6	82.1	79.9	84.4	70.3	67.5	73.3
5	82.1	79.9	84.4	70.2	67.4	73.2
4	82.1	79.9	84.4	70.1	67.3	73.1
3	82.1	79.9	84.3	70	67.1	73
2	82.1	79.9	84.3	69.9	67	72.9
1	82.1	79.8	84.3	69.7	66.8	72.7
0	81.9	79.6	84.1	67.5	64.4	70.8

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 72.1 in Myanmar, rising to 85.2 and 78.5 at 65, and to 89.2 and 85.7 at 80 — higher than the 81.9 and 67.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Germany

Male

Female

Myanmar

Male

Female

1x

Age	Survival probability
	Germany			Myanmar
	Average	Male	Female	Average	Male	Female
100	1.57%	0.87%	2.2%	0.06%	0.03%	0.1%
99	2.44%	1.4%	3.4%	0.11%	0.05%	0.18%
98	3.66%	2.17%	5.04%	0.19%	0.09%	0.3%
97	5.28%	3.24%	7.19%	0.32%	0.15%	0.49%
96	7.35%	4.66%	9.89%	0.51%	0.25%	0.77%
95	9.89%	6.48%	13.1%	0.79%	0.41%	1.18%
94	12.9%	8.74%	16.9%	1.19%	0.64%	1.76%
93	16.4%	11.4%	21.1%	1.74%	0.98%	2.54%
92	20.2%	14.5%	25.7%	2.49%	1.45%	3.57%
91	24.3%	18%	30.6%	3.44%	2.07%	4.87%
90	28.7%	21.7%	35.6%	4.63%	2.88%	6.46%
89	33.1%	25.6%	40.5%	6.06%	3.88%	8.34%
88	37.6%	29.7%	45.4%	7.74%	5.09%	10.5%
87	42%	33.8%	50.1%	9.65%	6.52%	12.9%
86	46.2%	37.9%	54.5%	11.8%	8.16%	15.6%
85	50.3%	41.9%	58.6%	14.2%	10%	18.5%
84	54%	45.7%	62.4%	16.8%	12.1%	21.7%
83	57.6%	49.3%	65.8%	19.6%	14.4%	25.1%
82	60.8%	52.8%	68.9%	22.6%	16.8%	28.6%
81	63.8%	56%	71.6%	25.7%	19.4%	32.2%
80	66.5%	58.9%	74%	28.9%	22.2%	35.8%
79	68.9%	61.7%	76.2%	32.1%	25%	39.4%
78	71.2%	64.3%	78.1%	35.3%	27.9%	42.9%
77	73.2%	66.7%	79.8%	38.4%	30.9%	46.3%
76	75.1%	68.9%	81.4%	41.5%	33.8%	49.6%
75	76.9%	71%	82.8%	44.6%	36.7%	52.8%
74	78.5%	73%	84.1%	47.5%	39.6%	55.8%
73	80.1%	74.9%	85.4%	50.4%	42.5%	58.7%
72	81.6%	76.7%	86.5%	53.1%	45.3%	61.4%
71	83%	78.4%	87.6%	55.7%	48%	63.9%
70	84.3%	80%	88.6%	58.2%	50.6%	66.3%
69	85.5%	81.6%	89.5%	60.6%	53.1%	68.5%
68	86.6%	83%	90.4%	62.8%	55.5%	70.5%
67	87.7%	84.3%	91.2%	64.9%	57.8%	72.4%
66	88.7%	85.6%	91.9%	66.9%	60%	74.2%
65	89.6%	86.8%	92.6%	68.7%	62%	75.8%
64	90.5%	88%	93.2%	70.5%	64%	77.3%
63	91.3%	89%	93.8%	72.1%	65.9%	78.6%
62	92.1%	90%	94.3%	73.6%	67.7%	79.9%
61	92.8%	90.9%	94.8%	75%	69.4%	81.1%
60	93.4%	91.7%	95.2%	76.4%	71%	82.1%
59	94%	92.5%	95.7%	77.6%	72.4%	83.1%
58	94.6%	93.1%	96%	78.8%	73.8%	84%
57	95.1%	93.8%	96.4%	79.9%	75.1%	84.9%
56	95.5%	94.3%	96.7%	80.9%	76.3%	85.7%
55	95.9%	94.8%	97%	81.8%	77.5%	86.4%
54	96.3%	95.3%	97.2%	82.7%	78.5%	87.1%
53	96.6%	95.7%	97.5%	83.5%	79.5%	87.7%
52	96.9%	96.1%	97.7%	84.2%	80.4%	88.3%
51	97.1%	96.4%	97.9%	84.9%	81.3%	88.8%
50	97.3%	96.7%	98%	85.6%	82.1%	89.3%
49	97.5%	96.9%	98.2%	86.2%	82.9%	89.8%
48	97.7%	97.2%	98.3%	86.8%	83.5%	90.2%
47	97.9%	97.4%	98.5%	87.3%	84.2%	90.6%
46	98%	97.6%	98.6%	87.8%	84.8%	91%
45	98.2%	97.7%	98.7%	88.2%	85.4%	91.3%
44	98.3%	97.9%	98.8%	88.7%	85.9%	91.6%
43	98.4%	98%	98.8%	89.1%	86.4%	91.9%
42	98.5%	98.1%	98.9%	89.5%	86.9%	92.2%
41	98.6%	98.3%	99%	89.8%	87.3%	92.5%
40	98.7%	98.4%	99%	90.1%	87.7%	92.7%
39	98.8%	98.5%	99.1%	90.5%	88.1%	92.9%
38	98.8%	98.6%	99.1%	90.7%	88.5%	93.1%
37	98.9%	98.6%	99.2%	91%	88.9%	93.4%
36	99%	98.7%	99.2%	91.3%	89.2%	93.5%
35	99%	98.8%	99.3%	91.6%	89.5%	93.7%
34	99.1%	98.9%	99.3%	91.8%	89.8%	93.9%
33	99.1%	98.9%	99.3%	92%	90.1%	94.1%
32	99.2%	99%	99.4%	92.3%	90.4%	94.2%
31	99.2%	99%	99.4%	92.5%	90.7%	94.4%
30	99.2%	99.1%	99.4%	92.7%	90.9%	94.5%
29	99.3%	99.1%	99.4%	92.9%	91.2%	94.7%
28	99.3%	99.2%	99.5%	93.1%	91.4%	94.8%
27	99.3%	99.2%	99.5%	93.3%	91.7%	94.9%
26	99.4%	99.2%	99.5%	93.5%	92%	95.1%
25	99.4%	99.3%	99.5%	93.6%	92.2%	95.2%
24	99.4%	99.3%	99.5%	93.8%	92.5%	95.3%
23	99.4%	99.4%	99.5%	94%	92.7%	95.4%
22	99.5%	99.4%	99.5%	94.2%	93%	95.5%
21	99.5%	99.4%	99.6%	94.4%	93.2%	95.6%
20	99.5%	99.5%	99.6%	94.6%	93.4%	95.7%
19	99.5%	99.5%	99.6%	94.7%	93.6%	95.8%
18	99.6%	99.5%	99.6%	94.8%	93.8%	95.9%
17	99.6%	99.6%	99.6%	95%	94%	96%
16	99.6%	99.6%	99.6%	95.1%	94.2%	96.1%
15	99.6%	99.6%	99.6%	95.2%	94.3%	96.1%
14	99.6%	99.6%	99.7%	95.3%	94.4%	96.2%
13	99.6%	99.6%	99.7%	95.4%	94.5%	96.2%
12	99.6%	99.6%	99.7%	95.4%	94.6%	96.3%
11	99.6%	99.6%	99.7%	95.5%	94.7%	96.3%
10	99.7%	99.6%	99.7%	95.6%	94.8%	96.4%
9	99.7%	99.6%	99.7%	95.7%	94.9%	96.4%
8	99.7%	99.6%	99.7%	95.7%	95%	96.5%
7	99.7%	99.6%	99.7%	95.8%	95.2%	96.5%
6	99.7%	99.7%	99.7%	95.9%	95.3%	96.6%
5	99.7%	99.7%	99.7%	96.1%	95.5%	96.7%
4	99.7%	99.7%	99.7%	96.2%	95.7%	96.8%
3	99.7%	99.7%	99.7%	96.4%	95.9%	96.9%
2	99.7%	99.7%	99.7%	96.6%	96.1%	97.1%
1	99.7%	99.7%	99.8%	96.8%	96.3%	97.4%

This chart shows the odds of living to each age from birth. 93.4% of newborns in Germany and 76.4% in Myanmar are expected to live past 60, 84.3% and 58.2% past 70, 66.5% and 28.9% past 80, and only 28.7% and 4.63% 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

Myanmar

Male

Female

1x

Age	Probability of dying
	Germany			Myanmar
	Average	Male	Female	Average	Male	Female
100	38.4%	40.3%	37.9%	45%	47.5%	44.5%
99	35.8%	37.9%	35.2%	43.2%	45.6%	42.5%
98	33.3%	35.4%	32.6%	41.2%	43.7%	40.5%
97	30.7%	32.9%	30%	39.3%	41.8%	38.5%
96	28.2%	30.5%	27.3%	37.4%	40%	36.5%
95	25.7%	28.2%	24.7%	35.6%	38.1%	34.7%
94	23.3%	25.9%	22.2%	33.7%	36.3%	32.8%
93	21.1%	23.6%	20%	31.9%	34.3%	30.9%
92	19%	21.3%	17.9%	29.9%	32.3%	28.9%
91	17%	19.1%	15.9%	27.8%	30.2%	26.8%
90	15.1%	17.1%	14%	25.7%	28%	24.6%
89	13.4%	15.4%	12.3%	23.6%	25.8%	22.5%
88	11.9%	13.7%	10.7%	21.6%	23.8%	20.5%
87	10.5%	12.2%	9.36%	19.8%	21.9%	18.8%
86	9.19%	10.8%	8.11%	18.2%	20.1%	17.2%
85	8.04%	9.54%	6.99%	16.8%	18.6%	15.8%
84	7.01%	8.39%	6.01%	15.5%	17.1%	14.6%
83	6.11%	7.38%	5.17%	14.3%	15.8%	13.4%
82	5.32%	6.49%	4.45%	13.2%	14.6%	12.3%
81	4.65%	5.72%	3.83%	12.1%	13.5%	11.2%
80	4.06%	5.05%	3.29%	11%	12.4%	10.1%
79	3.56%	4.47%	2.82%	10%	11.3%	9.11%
78	3.13%	3.98%	2.44%	9.07%	10.4%	8.19%
77	2.8%	3.59%	2.14%	8.23%	9.52%	7.36%
76	2.53%	3.26%	1.92%	7.48%	8.72%	6.63%
75	2.31%	2.99%	1.74%	6.81%	7.98%	5.99%
74	2.12%	2.74%	1.59%	6.21%	7.31%	5.41%
73	1.95%	2.53%	1.45%	5.66%	6.7%	4.89%
72	1.8%	2.34%	1.34%	5.16%	6.13%	4.42%
71	1.67%	2.17%	1.23%	4.69%	5.62%	3.98%
70	1.54%	2.01%	1.12%	4.27%	5.15%	3.58%
69	1.42%	1.86%	1.02%	3.88%	4.72%	3.22%
68	1.32%	1.73%	0.94%	3.54%	4.33%	2.89%
67	1.23%	1.61%	0.86%	3.23%	3.98%	2.6%
66	1.14%	1.49%	0.79%	2.95%	3.66%	2.35%
65	1.05%	1.39%	0.73%	2.7%	3.37%	2.12%
64	0.98%	1.29%	0.67%	2.47%	3.1%	1.92%
63	0.9%	1.19%	0.62%	2.26%	2.86%	1.74%
62	0.82%	1.08%	0.57%	2.07%	2.63%	1.58%
61	0.75%	0.98%	0.52%	1.9%	2.42%	1.44%
60	0.69%	0.89%	0.48%	1.74%	2.22%	1.31%
59	0.62%	0.81%	0.44%	1.6%	2.04%	1.19%
58	0.57%	0.74%	0.39%	1.47%	1.88%	1.08%
57	0.51%	0.66%	0.36%	1.35%	1.73%	0.99%
56	0.46%	0.6%	0.33%	1.24%	1.59%	0.91%
55	0.42%	0.54%	0.29%	1.14%	1.47%	0.84%
54	0.37%	0.48%	0.26%	1.06%	1.35%	0.77%
53	0.33%	0.43%	0.24%	0.97%	1.25%	0.71%
52	0.29%	0.38%	0.21%	0.9%	1.15%	0.66%
51	0.26%	0.33%	0.19%	0.83%	1.06%	0.61%
50	0.24%	0.3%	0.17%	0.77%	0.98%	0.56%
49	0.21%	0.27%	0.16%	0.71%	0.9%	0.52%
48	0.19%	0.24%	0.14%	0.65%	0.83%	0.48%
47	0.17%	0.21%	0.12%	0.6%	0.77%	0.44%
46	0.15%	0.19%	0.11%	0.56%	0.72%	0.41%
45	0.14%	0.17%	0.1%	0.52%	0.67%	0.37%
44	0.12%	0.16%	0.09%	0.48%	0.62%	0.35%
43	0.11%	0.14%	0.08%	0.45%	0.58%	0.32%
42	0.1%	0.13%	0.07%	0.42%	0.54%	0.3%
41	0.09%	0.12%	0.07%	0.39%	0.51%	0.28%
40	0.09%	0.11%	0.06%	0.37%	0.47%	0.26%
39	0.08%	0.1%	0.06%	0.35%	0.45%	0.25%
38	0.07%	0.09%	0.05%	0.33%	0.42%	0.23%
37	0.07%	0.08%	0.05%	0.31%	0.4%	0.22%
36	0.06%	0.08%	0.04%	0.29%	0.38%	0.21%
35	0.06%	0.07%	0.04%	0.28%	0.36%	0.2%
34	0.05%	0.07%	0.04%	0.26%	0.34%	0.19%
33	0.05%	0.06%	0.03%	0.25%	0.33%	0.18%
32	0.05%	0.06%	0.03%	0.24%	0.31%	0.17%
31	0.04%	0.05%	0.03%	0.23%	0.3%	0.16%
30	0.04%	0.05%	0.03%	0.22%	0.29%	0.16%
29	0.04%	0.05%	0.02%	0.22%	0.28%	0.15%
28	0.03%	0.04%	0.02%	0.21%	0.28%	0.14%
27	0.03%	0.04%	0.02%	0.21%	0.28%	0.14%
26	0.03%	0.04%	0.02%	0.21%	0.27%	0.13%
25	0.03%	0.04%	0.02%	0.2%	0.27%	0.13%
24	0.03%	0.04%	0.02%	0.2%	0.27%	0.13%
23	0.03%	0.04%	0.02%	0.2%	0.27%	0.12%
22	0.03%	0.04%	0.01%	0.19%	0.27%	0.12%
21	0.03%	0.04%	0.01%	0.19%	0.26%	0.11%
20	0.03%	0.04%	0.02%	0.18%	0.24%	0.11%
19	0.03%	0.03%	0.02%	0.16%	0.23%	0.1%
18	0.02%	0.03%	0.01%	0.15%	0.2%	0.09%
17	0.02%	0.03%	0.01%	0.13%	0.18%	0.08%
16	0.02%	0.02%	0.01%	0.12%	0.16%	0.07%
15	0.01%	0.01%	0.01%	0.1%	0.14%	0.07%
14	0.009%	0.01%	0.009%	0.09%	0.13%	0.06%
13	0.008%	0.008%	0.008%	0.08%	0.11%	0.05%
12	0.007%	0.007%	0.007%	0.08%	0.11%	0.05%
11	0.006%	0.006%	0.006%	0.08%	0.11%	0.05%
10	0.006%	0.006%	0.005%	0.08%	0.11%	0.05%
9	0.006%	0.006%	0.005%	0.08%	0.11%	0.05%
8	0.006%	0.007%	0.005%	0.09%	0.12%	0.05%
7	0.006%	0.007%	0.005%	0.1%	0.13%	0.06%
6	0.007%	0.008%	0.006%	0.11%	0.15%	0.07%
5	0.008%	0.008%	0.007%	0.13%	0.17%	0.09%
4	0.008%	0.009%	0.008%	0.15%	0.19%	0.11%
3	0.009%	0.009%	0.008%	0.18%	0.21%	0.14%
2	0.01%	0.01%	0.009%	0.21%	0.23%	0.19%
1	0.03%	0.03%	0.02%	0.26%	0.26%	0.25%
0	0.26%	0.28%	0.24%	3.16%	3.67%	2.63%

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

The annual chance of dying is 0.26% in the birth year in Germany and 3.16% in Myanmar, 0.04% vs 0.22% at age 30, 0.69% vs 1.74% at 60, and 4.06% vs 11% at 80.

Death rate by age in Germany vs Myanmar

Chart Table

Germany

Male

Female

Myanmar

Male

Female

1x

Age	Death rate
	Germany			Myanmar
	Total	Male	Female	Total	Male	Female
100	411	149.7	645	0	0	0
99	874	530	1,197	48.9	22.8	76.2
98	1,217	768	1,642	79.4	38.8	121.9
97	1,623	1,066	2,155	124.6	63.8	188.2
96	2,070	1,421	2,698	189.6	101.6	281.7
95	2,537	1,824	3,236	279.8	156.5	409
94	3,012	2,264	3,756	401	233.5	575
93	3,456	2,699	4,218	555	336	784
92	3,843	3,091	4,602	743	467	1,030
91	4,141	3,427	4,868	957	625	1,303
90	4,341	3,710	4,988	1,190	806	1,590
89	4,447	3,930	4,984	1,431	1,003	1,877
88	4,458	4,061	4,878	1,674	1,211	2,156
87	4,390	4,114	4,689	1,916	1,426	2,426
86	4,248	4,095	4,424	2,155	1,643	2,688
85	4,039	3,995	4,101	2,389	1,860	2,938
84	3,788	3,836	3,753	2,610	2,073	3,169
83	3,517	3,640	3,402	2,810	2,274	3,366
82	3,238	3,424	3,062	2,976	2,458	3,514
81	2,964	3,202	2,740	3,100	2,616	3,601
80	2,702	2,979	2,436	3,176	2,744	3,623
79	2,452	2,760	2,150	3,207	2,839	3,589
78	2,230	2,560	1,904	3,198	2,903	3,513
77	2,048	2,391	1,710	3,162	2,938	3,410
76	1,900	2,250	1,561	3,109	2,947	3,290
75	1,777	2,125	1,442	3,037	2,933	3,160
74	1,662	2,004	1,335	2,952	2,898	3,020
73	1,560	1,893	1,240	2,852	2,846	2,870
72	1,471	1,797	1,157	2,740	2,777	2,711
71	1,389	1,705	1,078	2,617	2,695	2,545
70	1,300	1,607	995	2,486	2,602	2,374
69	1,217	1,514	916	2,353	2,503	2,205
68	1,142	1,432	848	2,221	2,401	2,041
67	1,075	1,357	788	2,093	2,297	1,887
66	1,007	1,280	730	1,971	2,193	1,743
65	943	1,205	676	1,854	2,090	1,610
64	884	1,135	627	1,741	1,986	1,486
63	821	1,055	579	1,632	1,883	1,371
62	757	972	534	1,527	1,780	1,264
61	699	895	495	1,427	1,678	1,164
60	642	821	457	1,331	1,578	1,072
59	587	753	416	1,240	1,480	987
58	535	687	378	1,154	1,386	911
57	487	623	346	1,076	1,297	842
56	441	563	316	1,003	1,214	780
55	398	508	285.7	936	1,135	724
54	358	456	256.9	872	1,061	673
53	320	407	231.5	813	990	625
52	284.9	360	208.4	757	924	581
51	254.5	320	188	705	861	540
50	229.5	287.6	170.4	656	802	501
49	207	259.3	153.8	610	747	464
48	185.3	232.3	137.5	567	696	430
47	165.7	208.4	122.3	528	650	398
46	149.1	188.7	108.9	492	608	368
45	134.2	170.5	97.3	459	569	342
44	120.3	152.3	87.5	429	533	317
43	108.4	137.1	78.7	401	501	295.4
42	99.4	126.7	71	376	470	275.8
41	91.5	117.1	64.6	353	442	258.5
40	84.2	107.7	59.5	332	416	242.9
39	76.9	97.9	54.6	313	393	228.9
38	70.3	89.5	49.8	296.2	371	216.1
37	64.7	83.1	44.9	280.8	352	204.4
36	59.4	77	40.6	266.9	336	193.6
35	55	71.1	37.8	254.3	321	183.7
34	51	65.8	35.2	243	307	174.8
33	47.6	61.9	32.2	232.8	294.9	166.6
32	44.7	58.3	30	223.5	283.8	159.3
31	42	54	28.8	215.2	273.9	152.7
30	38.5	49.5	26.4	207.9	265.5	146.7
29	34.9	45.3	23.4	202.1	259.1	141.4
28	32.1	42.4	20.8	197.6	254.9	136.5
27	30	40.3	18.5	194.3	252.8	132
26	28.6	39.3	16.8	192	252.4	127.6
25	27.6	38.6	15.7	190.4	253.2	123.3
24	26.9	37.6	15.2	188.8	254	119.3
23	26.2	36.7	15	186.4	253.1	115.3
22	25.7	36.2	14.6	182.4	249.3	111.1
21	25.6	36	14.7	176.1	241.2	106.5
20	26.1	36	15.5	166.9	228.5	101.2
19	25.3	34.6	15.4	155.2	211.6	94.9
18	22.9	30.7	14.5	141.5	191.9	87.7
17	19.5	25.1	13.6	126.9	171.1	79.7
16	15.5	18.8	12.1	112.5	151	71.4
15	12	13.8	10.2	99.4	133.1	63.5
14	9.35	10.1	8.53	88.7	118.8	56.6
13	7.7	7.78	7.61	80.8	108.5	51.1
12	6.7	6.53	6.87	75.8	102.5	47.2
11	6.08	6.17	5.99	73.9	100.8	45.1
10	5.74	6.23	5.22	74.7	102.7	44.8
9	5.49	6.23	4.71	78.4	108.2	46.5
8	5.54	6.48	4.56	84.8	116.9	50.5
7	5.96	6.94	4.91	94.1	128.4	57.4
6	6.74	7.49	5.95	106.6	142.5	68.2
5	7.69	8.09	7.28	122.9	158.9	84.2
4	8.4	8.73	8.05	143.8	177.8	107.5
3	8.73	9.26	8.17	170.7	199.2	140.2
2	10.1	11	9.22	205.2	223.4	185.7
1	27.4	29.9	24.7	249.9	251.4	248.2
0	263.3	281	244.7	3,164	3,669	2,626

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 Myanmar. The median age of death is 85.1 in Germany and 73.1 in Myanmar, 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 Myanmar more than their death rates.

Life expectancy in other countries

+ -

1x