Life Expectancy in Lithuania vs Myanmar (1950-2026)

Life expectancy by current age

Chart Table

Lithuania

Male

Female

Myanmar

Male

Female

1x

Current age, years	Total life expectancy, years
	Lithuania			Myanmar
	Average	Male	Female	Average	Male	Female
100	102	101.8	102	101.7	101.6	101.7
99	101.1	100.9	101.1	100.7	100.6	100.7
98	100.2	100.1	100.2	99.8	99.7	99.8
97	99.3	99.2	99.3	98.9	98.8	98.9
96	98.5	98.4	98.5	98	97.9	98
95	97.7	97.6	97.7	97.1	97	97.2
94	96.9	96.7	96.9	96.2	96.1	96.3
93	96.1	95.9	96.1	95.4	95.2	95.4
92	95.4	95.2	95.4	94.5	94.3	94.6
91	94.6	94.4	94.7	93.7	93.5	93.8
90	94	93.7	94	92.9	92.6	93
89	93.3	93	93.4	92.1	91.8	92.2
88	92.6	92.3	92.7	91.3	91	91.4
87	92	91.6	92.1	90.5	90.3	90.7
86	91.4	90.9	91.6	89.8	89.5	90
85	90.8	90.3	91	89.1	88.8	89.3
84	90.3	89.7	90.5	88.4	88	88.6
83	89.8	89.1	90	87.7	87.3	87.9
82	89.3	88.5	89.6	87	86.6	87.2
81	88.8	88	89.2	86.3	85.9	86.6
80	88.4	87.4	88.8	85.7	85.3	86
79	88	86.9	88.4	85.1	84.6	85.4
78	87.5	86.4	88.1	84.5	84	84.8
77	87.1	85.8	87.8	83.9	83.4	84.3
76	86.8	85.3	87.5	83.3	82.8	83.8
75	86.4	84.8	87.2	82.8	82.2	83.3
74	86	84.3	86.9	82.3	81.6	82.8
73	85.6	83.8	86.6	81.8	81.1	82.3
72	85.3	83.3	86.4	81.3	80.5	81.9
71	84.9	82.9	86.1	80.9	80	81.5
70	84.6	82.4	85.9	80.4	79.5	81.1
69	84.2	81.9	85.7	80	79.1	80.7
68	83.9	81.5	85.5	79.6	78.6	80.4
67	83.6	81	85.3	79.2	78.2	80
66	83.3	80.6	85.1	78.8	77.7	79.7
65	82.9	80.2	84.9	78.5	77.3	79.4
64	82.6	79.8	84.7	78.1	76.9	79.1
63	82.3	79.4	84.5	77.8	76.6	78.9
62	82.1	79	84.3	77.5	76.2	78.6
61	81.8	78.7	84.2	77.2	75.8	78.4
60	81.5	78.3	84	76.9	75.5	78.1
59	81.3	78	83.9	76.6	75.2	77.9
58	81.1	77.7	83.7	76.3	74.8	77.7
57	80.9	77.4	83.6	76.1	74.5	77.5
56	80.7	77.2	83.5	75.8	74.3	77.3
55	80.4	76.9	83.4	75.6	74	77.1
54	80.2	76.6	83.3	75.4	73.7	76.9
53	80.1	76.4	83.2	75.2	73.5	76.8
52	79.9	76.2	83.1	75	73.2	76.6
51	79.7	75.9	82.9	74.8	73	76.5
50	79.5	75.7	82.9	74.6	72.8	76.3
49	79.4	75.5	82.8	74.4	72.6	76.2
48	79.2	75.3	82.7	74.2	72.4	76
47	79.1	75.1	82.6	74.1	72.2	75.9
46	78.9	74.9	82.5	73.9	72	75.8
45	78.8	74.8	82.4	73.8	71.8	75.7
44	78.7	74.6	82.3	73.6	71.6	75.6
43	78.5	74.4	82.3	73.5	71.5	75.5
42	78.4	74.3	82.2	73.4	71.3	75.4
41	78.3	74.1	82.2	73.2	71.2	75.3
40	78.2	74	82.1	73.1	71	75.2
39	78.1	73.9	82	73	70.9	75.1
38	78	73.7	82	72.9	70.8	75
37	77.9	73.6	81.9	72.8	70.6	74.9
36	77.8	73.5	81.9	72.7	70.5	74.9
35	77.7	73.4	81.9	72.6	70.4	74.8
34	77.6	73.3	81.8	72.5	70.2	74.7
33	77.6	73.2	81.8	72.4	70.1	74.6
32	77.5	73.1	81.7	72.3	70	74.6
31	77.4	73	81.7	72.2	69.9	74.5
30	77.4	72.9	81.7	72.1	69.8	74.4
29	77.3	72.8	81.7	72	69.7	74.4
28	77.3	72.7	81.6	71.9	69.5	74.3
27	77.2	72.7	81.6	71.8	69.4	74.2
26	77.2	72.6	81.6	71.7	69.3	74.2
25	77.1	72.6	81.6	71.6	69.2	74.1
24	77.1	72.5	81.6	71.5	69.1	74
23	77.1	72.5	81.5	71.4	68.9	74
22	77	72.4	81.5	71.3	68.8	73.9
21	77	72.4	81.5	71.2	68.7	73.9
20	77	72.3	81.5	71.2	68.6	73.8
19	76.9	72.3	81.5	71.1	68.5	73.7
18	76.9	72.2	81.4	71	68.4	73.7
17	76.9	72.2	81.4	70.9	68.3	73.6
16	76.9	72.2	81.4	70.9	68.2	73.6
15	76.8	72.2	81.4	70.8	68.1	73.6
14	76.8	72.2	81.4	70.7	68	73.5
13	76.8	72.1	81.4	70.7	68	73.5
12	76.8	72.1	81.4	70.7	67.9	73.5
11	76.8	72.1	81.4	70.6	67.9	73.4
10	76.8	72.1	81.4	70.6	67.8	73.4
9	76.8	72.1	81.4	70.5	67.7	73.4
8	76.8	72.1	81.3	70.5	67.7	73.3
7	76.8	72.1	81.3	70.4	67.6	73.3
6	76.8	72.1	81.3	70.3	67.5	73.3
5	76.8	72.1	81.3	70.2	67.4	73.2
4	76.7	72.1	81.3	70.1	67.3	73.1
3	76.7	72.1	81.3	70	67.1	73
2	76.7	72	81.3	69.9	67	72.9
1	76.7	72	81.3	69.7	66.8	72.7
0	76.5	71.8	81.1	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 Lithuania can expect to live to 77.4 years compared to 72.1 in Myanmar, rising to 82.9 and 78.5 at 65, and to 88.4 and 85.7 at 80 — higher than the 76.5 and 67.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Lithuania

Male

Female

Myanmar

Male

Female

1x

Age	Survival probability
	Lithuania			Myanmar
	Average	Male	Female	Average	Male	Female
100	0.83%	0.39%	1.21%	0.06%	0.03%	0.1%
99	1.32%	0.62%	1.92%	0.11%	0.05%	0.18%
98	2.01%	0.95%	2.92%	0.19%	0.09%	0.3%
97	2.95%	1.42%	4.28%	0.32%	0.15%	0.49%
96	4.19%	2.04%	6.06%	0.51%	0.25%	0.77%
95	5.75%	2.85%	8.27%	0.79%	0.41%	1.18%
94	7.68%	3.93%	11%	1.19%	0.64%	1.76%
93	10%	5.28%	14.2%	1.74%	0.98%	2.54%
92	12.6%	6.79%	17.7%	2.49%	1.45%	3.57%
91	15.4%	8.41%	21.6%	3.44%	2.07%	4.87%
90	18.6%	10.4%	25.8%	4.63%	2.88%	6.46%
89	21.9%	12.6%	30.1%	6.06%	3.88%	8.34%
88	25.3%	14.8%	34.6%	7.74%	5.09%	10.5%
87	28.8%	17.3%	39.2%	9.65%	6.52%	12.9%
86	32.4%	19.9%	43.6%	11.8%	8.16%	15.6%
85	35.8%	22.5%	47.9%	14.2%	10%	18.5%
84	39.2%	25.1%	51.9%	16.8%	12.1%	21.7%
83	42.4%	27.8%	55.7%	19.6%	14.4%	25.1%
82	45.4%	30.5%	59.1%	22.6%	16.8%	28.6%
81	48.3%	33.2%	62.3%	25.7%	19.4%	32.2%
80	51.1%	35.8%	65.3%	28.9%	22.2%	35.8%
79	53.6%	38.4%	67.9%	32.1%	25%	39.4%
78	56%	40.9%	70.3%	35.3%	27.9%	42.9%
77	58.3%	43.5%	72.5%	38.4%	30.9%	46.3%
76	60.6%	46.1%	74.5%	41.5%	33.8%	49.6%
75	62.7%	48.6%	76.3%	44.6%	36.7%	52.8%
74	64.7%	51.1%	78.1%	47.5%	39.6%	55.8%
73	66.7%	53.5%	79.6%	50.4%	42.5%	58.7%
72	68.6%	55.9%	81.1%	53.1%	45.3%	61.4%
71	70.4%	58.2%	82.4%	55.7%	48%	63.9%
70	72.1%	60.5%	83.6%	58.2%	50.6%	66.3%
69	73.7%	62.7%	84.8%	60.6%	53.1%	68.5%
68	75.3%	64.9%	85.9%	62.8%	55.5%	70.5%
67	76.8%	67%	86.9%	64.9%	57.8%	72.4%
66	78.3%	69.1%	87.9%	66.9%	60%	74.2%
65	79.8%	71.1%	88.8%	68.7%	62%	75.8%
64	81.1%	73%	89.6%	70.5%	64%	77.3%
63	82.3%	74.8%	90.3%	72.1%	65.9%	78.6%
62	83.5%	76.4%	91%	73.6%	67.7%	79.9%
61	84.6%	78%	91.7%	75%	69.4%	81.1%
60	85.7%	79.5%	92.3%	76.4%	71%	82.1%
59	86.6%	80.8%	92.8%	77.6%	72.4%	83.1%
58	87.5%	82.1%	93.3%	78.8%	73.8%	84%
57	88.3%	83.2%	93.7%	79.9%	75.1%	84.9%
56	89%	84.4%	94.1%	80.9%	76.3%	85.7%
55	89.8%	85.4%	94.5%	81.8%	77.5%	86.4%
54	90.5%	86.4%	94.9%	82.7%	78.5%	87.1%
53	91.1%	87.4%	95.3%	83.5%	79.5%	87.7%
52	91.7%	88.2%	95.6%	84.2%	80.4%	88.3%
51	92.3%	89%	95.9%	84.9%	81.3%	88.8%
50	92.8%	89.7%	96.2%	85.6%	82.1%	89.3%
49	93.3%	90.4%	96.5%	86.2%	82.9%	89.8%
48	93.7%	91.1%	96.7%	86.8%	83.5%	90.2%
47	94.2%	91.8%	97%	87.3%	84.2%	90.6%
46	94.6%	92.3%	97.2%	87.8%	84.8%	91%
45	95%	92.9%	97.4%	88.2%	85.4%	91.3%
44	95.4%	93.4%	97.6%	88.7%	85.9%	91.6%
43	95.7%	93.9%	97.8%	89.1%	86.4%	91.9%
42	96%	94.3%	97.9%	89.5%	86.9%	92.2%
41	96.3%	94.8%	98%	89.8%	87.3%	92.5%
40	96.6%	95.2%	98.2%	90.1%	87.7%	92.7%
39	96.9%	95.6%	98.3%	90.5%	88.1%	92.9%
38	97.1%	96%	98.4%	90.7%	88.5%	93.1%
37	97.4%	96.3%	98.5%	91%	88.9%	93.4%
36	97.6%	96.6%	98.6%	91.3%	89.2%	93.5%
35	97.8%	96.9%	98.7%	91.6%	89.5%	93.7%
34	97.9%	97.1%	98.8%	91.8%	89.8%	93.9%
33	98.1%	97.4%	98.9%	92%	90.1%	94.1%
32	98.3%	97.6%	99%	92.3%	90.4%	94.2%
31	98.4%	97.8%	99%	92.5%	90.7%	94.4%
30	98.5%	98%	99.1%	92.7%	90.9%	94.5%
29	98.6%	98.2%	99.1%	92.9%	91.2%	94.7%
28	98.7%	98.3%	99.2%	93.1%	91.4%	94.8%
27	98.8%	98.5%	99.2%	93.3%	91.7%	94.9%
26	98.9%	98.6%	99.2%	93.5%	92%	95.1%
25	99%	98.7%	99.3%	93.6%	92.2%	95.2%
24	99.1%	98.8%	99.3%	93.8%	92.5%	95.3%
23	99.1%	98.9%	99.3%	94%	92.7%	95.4%
22	99.2%	99%	99.4%	94.2%	93%	95.5%
21	99.2%	99.1%	99.4%	94.4%	93.2%	95.6%
20	99.3%	99.2%	99.4%	94.6%	93.4%	95.7%
19	99.4%	99.3%	99.5%	94.7%	93.6%	95.8%
18	99.4%	99.4%	99.5%	94.8%	93.8%	95.9%
17	99.5%	99.4%	99.5%	95%	94%	96%
16	99.5%	99.4%	99.5%	95.1%	94.2%	96.1%
15	99.5%	99.5%	99.5%	95.2%	94.3%	96.1%
14	99.5%	99.5%	99.6%	95.3%	94.4%	96.2%
13	99.6%	99.5%	99.6%	95.4%	94.5%	96.2%
12	99.6%	99.6%	99.6%	95.4%	94.6%	96.3%
11	99.6%	99.6%	99.6%	95.5%	94.7%	96.3%
10	99.6%	99.6%	99.6%	95.6%	94.8%	96.4%
9	99.6%	99.6%	99.6%	95.7%	94.9%	96.4%
8	99.6%	99.6%	99.6%	95.7%	95%	96.5%
7	99.6%	99.6%	99.6%	95.8%	95.2%	96.5%
6	99.6%	99.6%	99.7%	95.9%	95.3%	96.6%
5	99.6%	99.6%	99.7%	96.1%	95.5%	96.7%
4	99.7%	99.6%	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%	99.7%	96.8%	96.3%	97.4%

This chart shows the odds of living to each age from birth. 85.7% of newborns in Lithuania and 76.4% in Myanmar are expected to live past 60, 72.1% and 58.2% past 70, 51.1% and 28.9% past 80, and only 18.6% 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

Lithuania

Male

Female

Myanmar

Male

Female

1x

Age	Probability of dying
	Lithuania			Myanmar
	Average	Male	Female	Average	Male	Female
100	39.3%	39.3%	39.3%	45%	47.5%	44.5%
99	36.9%	37.2%	36.8%	43.2%	45.6%	42.5%
98	34.4%	35%	34.3%	41.2%	43.7%	40.5%
97	32%	32.8%	31.8%	39.3%	41.8%	38.5%
96	29.6%	30.6%	29.3%	37.4%	40%	36.5%
95	27.1%	28.5%	26.8%	35.6%	38.1%	34.7%
94	25.2%	27.3%	24.6%	33.7%	36.3%	32.8%
93	23.2%	25.7%	22.5%	31.9%	34.3%	30.9%
92	20.7%	22.1%	20.2%	29.9%	32.3%	28.9%
91	18.3%	19.3%	18%	27.8%	30.2%	26.8%
90	16.8%	19.1%	16.1%	25.7%	28%	24.6%
89	15.2%	17.3%	14.5%	23.6%	25.8%	22.5%
88	13.5%	15.1%	13%	21.6%	23.8%	20.5%
87	12.3%	14.4%	11.6%	19.8%	21.9%	18.8%
86	11%	13.1%	10.2%	18.2%	20.1%	17.2%
85	9.6%	11.4%	8.93%	16.8%	18.6%	15.8%
84	8.47%	10.4%	7.75%	15.5%	17.1%	14.6%
83	7.54%	9.67%	6.7%	14.3%	15.8%	13.4%
82	6.69%	8.81%	5.82%	13.2%	14.6%	12.3%
81	6.01%	8.11%	5.12%	12.1%	13.5%	11.2%
80	5.41%	7.44%	4.51%	11%	12.4%	10.1%
79	4.77%	6.65%	3.91%	10%	11.3%	9.11%
78	4.3%	6.23%	3.39%	9.07%	10.4%	8.19%
77	3.98%	6%	2.98%	8.23%	9.52%	7.36%
76	3.69%	5.61%	2.7%	7.48%	8.72%	6.63%
75	3.4%	5.16%	2.45%	6.81%	7.98%	5.99%
74	3.14%	4.82%	2.19%	6.21%	7.31%	5.41%
73	2.93%	4.53%	1.99%	5.66%	6.7%	4.89%
72	2.74%	4.26%	1.82%	5.16%	6.13%	4.42%
71	2.54%	4.02%	1.6%	4.69%	5.62%	3.98%
70	2.35%	3.77%	1.44%	4.27%	5.15%	3.58%
69	2.23%	3.51%	1.37%	3.88%	4.72%	3.22%
68	2.11%	3.33%	1.26%	3.54%	4.33%	2.89%
67	2.01%	3.19%	1.16%	3.23%	3.98%	2.6%
66	1.92%	3.03%	1.11%	2.95%	3.66%	2.35%
65	1.79%	2.81%	1.01%	2.7%	3.37%	2.12%
64	1.64%	2.58%	0.9%	2.47%	3.1%	1.92%
63	1.52%	2.36%	0.83%	2.26%	2.86%	1.74%
62	1.41%	2.17%	0.78%	2.07%	2.63%	1.58%
61	1.31%	2.01%	0.71%	1.9%	2.42%	1.44%
60	1.2%	1.86%	0.63%	1.74%	2.22%	1.31%
59	1.09%	1.69%	0.58%	1.6%	2.04%	1.19%
58	0.98%	1.48%	0.54%	1.47%	1.88%	1.08%
57	0.91%	1.39%	0.47%	1.35%	1.73%	0.99%
56	0.86%	1.34%	0.42%	1.24%	1.59%	0.91%
55	0.83%	1.26%	0.42%	1.14%	1.47%	0.84%
54	0.78%	1.16%	0.42%	1.06%	1.35%	0.77%
53	0.7%	1.06%	0.36%	0.97%	1.25%	0.71%
52	0.65%	0.97%	0.34%	0.9%	1.15%	0.66%
51	0.61%	0.88%	0.34%	0.83%	1.06%	0.61%
50	0.56%	0.83%	0.29%	0.77%	0.98%	0.56%
49	0.53%	0.78%	0.27%	0.71%	0.9%	0.52%
48	0.51%	0.74%	0.27%	0.65%	0.83%	0.48%
47	0.48%	0.69%	0.25%	0.6%	0.77%	0.44%
46	0.44%	0.64%	0.23%	0.56%	0.72%	0.41%
45	0.41%	0.6%	0.2%	0.52%	0.67%	0.37%
44	0.38%	0.54%	0.2%	0.48%	0.62%	0.35%
43	0.35%	0.5%	0.19%	0.45%	0.58%	0.32%
42	0.33%	0.49%	0.16%	0.42%	0.54%	0.3%
41	0.31%	0.47%	0.13%	0.39%	0.51%	0.28%
40	0.28%	0.42%	0.13%	0.37%	0.47%	0.26%
39	0.28%	0.41%	0.13%	0.35%	0.45%	0.25%
38	0.27%	0.4%	0.12%	0.33%	0.42%	0.23%
37	0.23%	0.33%	0.11%	0.31%	0.4%	0.22%
36	0.21%	0.3%	0.1%	0.29%	0.38%	0.21%
35	0.2%	0.29%	0.09%	0.28%	0.36%	0.2%
34	0.19%	0.28%	0.09%	0.26%	0.34%	0.19%
33	0.18%	0.26%	0.09%	0.25%	0.33%	0.18%
32	0.15%	0.23%	0.06%	0.24%	0.31%	0.17%
31	0.13%	0.2%	0.06%	0.23%	0.3%	0.16%
30	0.13%	0.19%	0.06%	0.22%	0.29%	0.16%
29	0.13%	0.2%	0.05%	0.22%	0.28%	0.15%
28	0.11%	0.18%	0.04%	0.21%	0.28%	0.14%
27	0.09%	0.14%	0.04%	0.21%	0.28%	0.14%
26	0.08%	0.13%	0.04%	0.21%	0.27%	0.13%
25	0.08%	0.12%	0.03%	0.2%	0.27%	0.13%
24	0.07%	0.11%	0.03%	0.2%	0.27%	0.13%
23	0.07%	0.1%	0.03%	0.2%	0.27%	0.12%
22	0.06%	0.09%	0.03%	0.19%	0.27%	0.12%
21	0.06%	0.08%	0.03%	0.19%	0.26%	0.11%
20	0.06%	0.08%	0.03%	0.18%	0.24%	0.11%
19	0.06%	0.09%	0.03%	0.16%	0.23%	0.1%
18	0.05%	0.07%	0.03%	0.15%	0.2%	0.09%
17	0.03%	0.04%	0.02%	0.13%	0.18%	0.08%
16	0.03%	0.05%	0.02%	0.12%	0.16%	0.07%
15	0.03%	0.04%	0.02%	0.1%	0.14%	0.07%
14	0.03%	0.03%	0.02%	0.09%	0.13%	0.06%
13	0.02%	0.02%	0.02%	0.08%	0.11%	0.05%
12	0.01%	0.02%	0.01%	0.08%	0.11%	0.05%
11	0.01%	0.02%	0.008%	0.08%	0.11%	0.05%
10	0.01%	0.01%	0.01%	0.08%	0.11%	0.05%
9	0.01%	0.009%	0.01%	0.08%	0.11%	0.05%
8	0.01%	0.01%	0.01%	0.09%	0.12%	0.05%
7	0.01%	0.01%	0.01%	0.1%	0.13%	0.06%
6	0.01%	0.009%	0.01%	0.11%	0.15%	0.07%
5	0.009%	0.009%	0.01%	0.13%	0.17%	0.09%
4	0.01%	0.01%	0.01%	0.15%	0.19%	0.11%
3	0.01%	0.01%	0.01%	0.18%	0.21%	0.14%
2	0.01%	0.01%	0.01%	0.21%	0.23%	0.19%
1	0.03%	0.02%	0.03%	0.26%	0.26%	0.25%
0	0.29%	0.3%	0.28%	3.16%	3.67%	2.63%

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

The annual chance of dying is 0.29% in the birth year in Lithuania and 3.16% in Myanmar, 0.13% vs 0.22% at age 30, 1.2% vs 1.74% at 60, and 5.41% vs 11% at 80.

Death rate by age in Lithuania vs Myanmar

Chart Table

Lithuania

Male

Female

Myanmar

Male

Female

1x

Age	Death rate
	Lithuania			Myanmar
	Total	Male	Female	Total	Male	Female
100	174.6	56.5	274.1	0	0	0
99	485	230.3	706	48.9	22.8	76.2
98	690	333	1,000	79.4	38.8	121.9
97	945	465	1,362	124.6	63.8	188.2
96	1,240	624	1,777	189.6	101.6	281.7
95	1,559	812	2,213	279.8	156.5	409
94	1,933	1,074	2,695	401	233.5	575
93	2,322	1,356	3,186	555	336	784
92	2,605	1,503	3,588	743	467	1,030
91	2,822	1,627	3,887	957	625	1,303
90	3,119	1,989	4,148	1,190	806	1,590
89	3,315	2,179	4,361	1,431	1,003	1,877
88	3,420	2,242	4,500	1,674	1,211	2,156
87	3,556	2,501	4,539	1,916	1,426	2,426
86	3,561	2,606	4,462	2,155	1,643	2,688
85	3,442	2,562	4,282	2,389	1,860	2,938
84	3,319	2,605	4,028	2,610	2,073	3,169
83	3,194	2,688	3,733	2,810	2,274	3,366
82	3,036	2,683	3,441	2,976	2,458	3,514
81	2,903	2,691	3,191	3,100	2,616	3,601
80	2,761	2,665	2,945	3,176	2,744	3,623
79	2,559	2,550	2,657	3,207	2,839	3,589
78	2,410	2,551	2,381	3,198	2,903	3,513
77	2,321	2,611	2,161	3,162	2,938	3,410
76	2,234	2,586	2,009	3,109	2,947	3,290
75	2,134	2,512	1,873	3,037	2,933	3,160
74	2,030	2,466	1,712	2,952	2,898	3,020
73	1,953	2,423	1,589	2,852	2,846	2,870
72	1,881	2,380	1,473	2,740	2,777	2,711
71	1,785	2,341	1,322	2,617	2,695	2,545
70	1,696	2,284	1,202	2,486	2,602	2,374
69	1,642	2,203	1,159	2,353	2,503	2,205
68	1,590	2,161	1,081	2,221	2,401	2,041
67	1,542	2,140	1,004	2,093	2,297	1,887
66	1,507	2,091	975	1,971	2,193	1,743
65	1,429	2,002	900	1,854	2,090	1,610
64	1,330	1,887	809	1,741	1,986	1,486
63	1,248	1,765	754	1,632	1,883	1,371
62	1,177	1,655	711	1,527	1,780	1,264
61	1,106	1,569	648	1,427	1,678	1,164
60	1,028	1,481	582	1,331	1,578	1,072
59	942	1,363	535	1,240	1,480	987
58	857	1,218	506	1,154	1,386	911
57	800	1,155	445	1,076	1,297	842
56	766	1,132	394	1,003	1,214	780
55	742	1,077	398	936	1,135	724
54	702	1,001	394	872	1,061	673
53	639	928	338	813	990	625
52	596	853	327	757	924	581
51	560	787	324	705	861	540
50	518	741	280.7	656	802	501
49	493	708	260	610	747	464
48	475	674	256.5	567	696	430
47	448	630	244.5	528	650	398
46	417	589	222.4	492	608	368
45	391	555	199.3	459	569	342
44	361	507	192	429	533	317
43	336	467	183.2	401	501	295.4
42	320	461	155.8	376	470	275.8
41	301	446	132.1	353	442	258.5
40	275.1	398	130.8	332	416	242.9
39	271.3	396	125	313	393	228.9
38	262.3	387	115.9	296.2	371	216.1
37	224.5	322	110.3	280.8	352	204.4
36	201.3	287.8	100.8	266.9	336	193.6
35	194	281.1	93.1	254.3	321	183.7
34	186.8	269.6	92.7	243	307	174.8
33	172.2	250.4	84.7	232.8	294.9	166.6
32	148.5	225.2	62.9	223.5	283.8	159.3
31	130.3	194.6	59.1	215.2	273.9	152.7
30	123.6	182.3	59.6	207.9	265.5	146.7
29	123.7	194.9	46.9	202.1	259.1	141.4
28	109.5	173.6	40.2	197.6	254.9	136.5
27	90.6	138.4	39.5	194.3	252.8	132
26	82.1	123.9	38.2	192	252.4	127.6
25	77	118.5	33.7	190.4	253.2	123.3
24	67.9	107	27.3	188.8	254	119.3
23	64.5	99.2	28.2	186.4	253.1	115.3
22	62.3	92.2	31.2	182.4	249.3	111.1
21	56.7	82.6	30	176.1	241.2	106.5
20	56.2	83.3	28.3	166.9	228.5	101.2
19	62.7	94.3	30	155.2	211.6	94.9
18	50.7	70.8	29.8	141.5	191.9	87.7
17	34.2	43.8	24.1	126.9	171.1	79.7
16	30.9	45.9	15.2	112.5	151	71.4
15	29.1	40.8	16.8	99.4	133.1	63.5
14	25	28.9	20.8	88.7	118.8	56.6
13	19.1	21.8	16.4	80.8	108.5	51.1
12	14.3	18.6	9.7	75.8	102.5	47.2
11	12.2	15.7	8.41	73.9	100.8	45.1
10	10.5	10.8	10.2	74.7	102.7	44.8
9	10.3	9.11	11.5	78.4	108.2	46.5
8	12	13.2	10.7	84.8	116.9	50.5
7	11.3	12	10.7	94.1	128.4	57.4
6	9.63	8.66	10.7	106.6	142.5	68.2
5	9.42	9.23	9.62	122.9	158.9	84.2
4	11.3	12.2	10.4	143.8	177.8	107.5
3	13.8	14.4	13.1	170.7	199.2	140.2
2	13.2	14.4	11.8	205.2	223.4	185.7
1	25.4	24.3	26.4	249.9	251.4	248.2
0	291.9	305	278.5	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 Lithuania, the most common age of death is 86, compared to 79 in Myanmar. The median age of death is 80.4 in Lithuania 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 Lithuania and Myanmar more than their death rates.

Life expectancy in other countries

+ -

1x