Life Expectancy in Lithuania vs Mali (1950-2026)

Life expectancy by current age

Chart Table

Lithuania

Male

Female

Mali

Male

Female

1x

Current age, years	Total life expectancy, years
	Lithuania			Mali
	Average	Male	Female	Average	Male	Female
100	102	101.8	102	101.4	101.3	101.4
99	101.1	100.9	101.1	100.4	100.4	100.4
98	100.2	100.1	100.2	99.5	99.4	99.5
97	99.3	99.2	99.3	98.5	98.4	98.6
96	98.5	98.4	98.5	97.6	97.5	97.6
95	97.7	97.6	97.7	96.7	96.6	96.7
94	96.9	96.7	96.9	95.8	95.7	95.8
93	96.1	95.9	96.1	94.9	94.8	94.9
92	95.4	95.2	95.4	94	93.9	94
91	94.6	94.4	94.7	93.1	93	93.2
90	94	93.7	94	92.3	92.2	92.3
89	93.3	93	93.4	91.4	91.3	91.5
88	92.6	92.3	92.7	90.6	90.5	90.7
87	92	91.6	92.1	89.8	89.7	89.9
86	91.4	90.9	91.6	89.1	88.9	89.2
85	90.8	90.3	91	88.3	88.2	88.4
84	90.3	89.7	90.5	87.6	87.4	87.7
83	89.8	89.1	90	86.8	86.7	86.9
82	89.3	88.5	89.6	86.1	86	86.2
81	88.8	88	89.2	85.4	85.3	85.5
80	88.4	87.4	88.8	84.8	84.6	84.9
79	88	86.9	88.4	84.1	83.9	84.2
78	87.5	86.4	88.1	83.5	83.3	83.6
77	87.1	85.8	87.8	82.9	82.7	83
76	86.8	85.3	87.5	82.3	82.1	82.5
75	86.4	84.8	87.2	81.8	81.5	81.9
74	86	84.3	86.9	81.2	81	81.4
73	85.6	83.8	86.6	80.7	80.4	80.9
72	85.3	83.3	86.4	80.2	79.9	80.4
71	84.9	82.9	86.1	79.7	79.5	80
70	84.6	82.4	85.9	79.3	79	79.6
69	84.2	81.9	85.7	78.9	78.5	79.2
68	83.9	81.5	85.5	78.5	78.1	78.8
67	83.6	81	85.3	78.1	77.7	78.4
66	83.3	80.6	85.1	77.7	77.3	78.1
65	82.9	80.2	84.9	77.4	76.9	77.8
64	82.6	79.8	84.7	77	76.6	77.4
63	82.3	79.4	84.5	76.7	76.2	77.1
62	82.1	79	84.3	76.4	75.8	76.9
61	81.8	78.7	84.2	76.1	75.5	76.6
60	81.5	78.3	84	75.8	75.2	76.3
59	81.3	78	83.9	75.5	74.9	76.1
58	81.1	77.7	83.7	75.2	74.6	75.9
57	80.9	77.4	83.6	75	74.3	75.7
56	80.7	77.2	83.5	74.8	74	75.5
55	80.4	76.9	83.4	74.5	73.8	75.3
54	80.2	76.6	83.3	74.3	73.5	75.1
53	80.1	76.4	83.2	74.1	73.2	74.9
52	79.9	76.2	83.1	73.9	73	74.7
51	79.7	75.9	82.9	73.6	72.8	74.5
50	79.5	75.7	82.9	73.4	72.6	74.3
49	79.4	75.5	82.8	73.3	72.3	74.2
48	79.2	75.3	82.7	73.1	72.1	74
47	79.1	75.1	82.6	72.9	71.9	73.9
46	78.9	74.9	82.5	72.7	71.7	73.7
45	78.8	74.8	82.4	72.5	71.5	73.6
44	78.7	74.6	82.3	72.4	71.4	73.4
43	78.5	74.4	82.3	72.2	71.2	73.3
42	78.4	74.3	82.2	72	71	73.1
41	78.3	74.1	82.2	71.9	70.8	73
40	78.2	74	82.1	71.7	70.7	72.8
39	78.1	73.9	82	71.6	70.5	72.7
38	78	73.7	82	71.4	70.3	72.5
37	77.9	73.6	81.9	71.3	70.2	72.4
36	77.8	73.5	81.9	71.1	70	72.2
35	77.7	73.4	81.9	71	69.9	72.1
34	77.6	73.3	81.8	70.8	69.7	71.9
33	77.6	73.2	81.8	70.7	69.6	71.8
32	77.5	73.1	81.7	70.5	69.4	71.7
31	77.4	73	81.7	70.4	69.3	71.5
30	77.4	72.9	81.7	70.2	69.1	71.4
29	77.3	72.8	81.7	70.1	69	71.2
28	77.3	72.7	81.6	69.9	68.8	71.1
27	77.2	72.7	81.6	69.8	68.7	70.9
26	77.2	72.6	81.6	69.6	68.5	70.8
25	77.1	72.6	81.6	69.5	68.4	70.6
24	77.1	72.5	81.6	69.3	68.2	70.5
23	77.1	72.5	81.5	69.2	68	70.3
22	77	72.4	81.5	69	67.9	70.2
21	77	72.4	81.5	68.9	67.7	70.1
20	77	72.3	81.5	68.7	67.5	69.9
19	76.9	72.3	81.5	68.6	67.4	69.8
18	76.9	72.2	81.4	68.4	67.3	69.7
17	76.9	72.2	81.4	68.3	67.2	69.5
16	76.9	72.2	81.4	68.2	67.1	69.4
15	76.8	72.2	81.4	68.1	67	69.3
14	76.8	72.2	81.4	68	66.9	69.2
13	76.8	72.1	81.4	68	66.8	69.2
12	76.8	72.1	81.4	67.9	66.7	69.1
11	76.8	72.1	81.4	67.8	66.6	69
10	76.8	72.1	81.4	67.7	66.6	68.9
9	76.8	72.1	81.4	67.6	66.5	68.8
8	76.8	72.1	81.3	67.5	66.4	68.7
7	76.8	72.1	81.3	67.4	66.3	68.5
6	76.8	72.1	81.3	67.2	66.1	68.4
5	76.8	72.1	81.3	67	65.9	68.1
4	76.7	72.1	81.3	66.7	65.6	67.8
3	76.7	72.1	81.3	66.3	65.2	67.4
2	76.7	72	81.3	65.7	64.6	66.8
1	76.7	72	81.3	64.9	63.7	66
0	76.5	71.8	81.1	61.1	59.7	62.6

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 70.2 in Mali, rising to 82.9 and 77.4 at 65, and to 88.4 and 84.8 at 80 — higher than the 76.5 and 61.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Lithuania

Male

Female

Mali

Male

Female

1x

Age	Survival probability
	Lithuania			Mali
	Average	Male	Female	Average	Male	Female
100	0.83%	0.39%	1.21%	0.008%	0.004%	0.01%
99	1.32%	0.62%	1.92%	0.02%	0.009%	0.02%
98	2.01%	0.95%	2.92%	0.03%	0.02%	0.04%
97	2.95%	1.42%	4.28%	0.06%	0.04%	0.08%
96	4.19%	2.04%	6.06%	0.11%	0.07%	0.15%
95	5.75%	2.85%	8.27%	0.19%	0.13%	0.26%
94	7.68%	3.93%	11%	0.33%	0.23%	0.44%
93	10%	5.28%	14.2%	0.55%	0.4%	0.71%
92	12.6%	6.79%	17.7%	0.89%	0.66%	1.12%
91	15.4%	8.41%	21.6%	1.36%	1.04%	1.69%
90	18.6%	10.4%	25.8%	2.02%	1.58%	2.47%
89	21.9%	12.6%	30.1%	2.88%	2.3%	3.48%
88	25.3%	14.8%	34.6%	3.98%	3.23%	4.73%
87	28.8%	17.3%	39.2%	5.31%	4.38%	6.26%
86	32.4%	19.9%	43.6%	6.91%	5.78%	8.06%
85	35.8%	22.5%	47.9%	8.77%	7.42%	10.2%
84	39.2%	25.1%	51.9%	10.9%	9.31%	12.5%
83	42.4%	27.8%	55.7%	13.3%	11.4%	15.2%
82	45.4%	30.5%	59.1%	15.9%	13.8%	18.1%
81	48.3%	33.2%	62.3%	18.8%	16.4%	21.2%
80	51.1%	35.8%	65.3%	21.7%	19.1%	24.4%
79	53.6%	38.4%	67.9%	24.8%	21.9%	27.7%
78	56%	40.9%	70.3%	27.9%	24.8%	31%
77	58.3%	43.5%	72.5%	31%	27.7%	34.3%
76	60.6%	46.1%	74.5%	34%	30.7%	37.5%
75	62.7%	48.6%	76.3%	37.1%	33.6%	40.7%
74	64.7%	51.1%	78.1%	40%	36.5%	43.7%
73	66.7%	53.5%	79.6%	42.9%	39.2%	46.6%
72	68.6%	55.9%	81.1%	45.6%	41.9%	49.4%
71	70.4%	58.2%	82.4%	48.2%	44.4%	52%
70	72.1%	60.5%	83.6%	50.6%	46.9%	54.5%
69	73.7%	62.7%	84.8%	52.9%	49.2%	56.7%
68	75.3%	64.9%	85.9%	55%	51.3%	58.8%
67	76.8%	67%	86.9%	57%	53.4%	60.8%
66	78.3%	69.1%	87.9%	58.9%	55.4%	62.6%
65	79.8%	71.1%	88.8%	60.7%	57.2%	64.2%
64	81.1%	73%	89.6%	62.3%	59%	65.8%
63	82.3%	74.8%	90.3%	63.9%	60.7%	67.3%
62	83.5%	76.4%	91%	65.4%	62.3%	68.6%
61	84.6%	78%	91.7%	66.7%	63.8%	69.8%
60	85.7%	79.5%	92.3%	68%	65.2%	70.9%
59	86.6%	80.8%	92.8%	69.1%	66.5%	72%
58	87.5%	82.1%	93.3%	70.2%	67.7%	72.9%
57	88.3%	83.2%	93.7%	71.2%	68.8%	73.7%
56	89%	84.4%	94.1%	72.2%	69.9%	74.5%
55	89.8%	85.4%	94.5%	73.1%	70.9%	75.3%
54	90.5%	86.4%	94.9%	73.9%	71.9%	76%
53	91.1%	87.4%	95.3%	74.7%	72.8%	76.7%
52	91.7%	88.2%	95.6%	75.5%	73.7%	77.3%
51	92.3%	89%	95.9%	76.2%	74.5%	77.9%
50	92.8%	89.7%	96.2%	76.8%	75.2%	78.5%
49	93.3%	90.4%	96.5%	77.4%	75.9%	79%
48	93.7%	91.1%	96.7%	78%	76.6%	79.5%
47	94.2%	91.8%	97%	78.6%	77.2%	80%
46	94.6%	92.3%	97.2%	79.1%	77.8%	80.4%
45	95%	92.9%	97.4%	79.6%	78.4%	80.8%
44	95.4%	93.4%	97.6%	80.1%	78.9%	81.3%
43	95.7%	93.9%	97.8%	80.5%	79.5%	81.7%
42	96%	94.3%	97.9%	81%	80%	82.1%
41	96.3%	94.8%	98%	81.4%	80.4%	82.5%
40	96.6%	95.2%	98.2%	81.8%	80.9%	82.8%
39	96.9%	95.6%	98.3%	82.2%	81.3%	83.2%
38	97.1%	96%	98.4%	82.6%	81.7%	83.6%
37	97.4%	96.3%	98.5%	83%	82.1%	83.9%
36	97.6%	96.6%	98.6%	83.3%	82.5%	84.3%
35	97.8%	96.9%	98.7%	83.7%	82.8%	84.6%
34	97.9%	97.1%	98.8%	84%	83.2%	84.9%
33	98.1%	97.4%	98.9%	84.4%	83.5%	85.2%
32	98.3%	97.6%	99%	84.7%	83.9%	85.5%
31	98.4%	97.8%	99%	85%	84.2%	85.8%
30	98.5%	98%	99.1%	85.3%	84.6%	86.1%
29	98.6%	98.2%	99.1%	85.6%	84.9%	86.4%
28	98.7%	98.3%	99.2%	86%	85.2%	86.7%
27	98.8%	98.5%	99.2%	86.3%	85.5%	87%
26	98.9%	98.6%	99.2%	86.6%	85.8%	87.3%
25	99%	98.7%	99.3%	86.9%	86.1%	87.6%
24	99.1%	98.8%	99.3%	87.2%	86.4%	87.9%
23	99.1%	98.9%	99.3%	87.5%	86.8%	88.2%
22	99.2%	99%	99.4%	87.8%	87.1%	88.4%
21	99.2%	99.1%	99.4%	88%	87.4%	88.7%
20	99.3%	99.2%	99.4%	88.3%	87.7%	88.9%
19	99.4%	99.3%	99.5%	88.6%	88%	89.2%
18	99.4%	99.4%	99.5%	88.8%	88.2%	89.4%
17	99.5%	99.4%	99.5%	89%	88.4%	89.6%
16	99.5%	99.4%	99.5%	89.2%	88.6%	89.8%
15	99.5%	99.5%	99.5%	89.3%	88.7%	89.9%
14	99.5%	99.5%	99.6%	89.5%	88.9%	90.1%
13	99.6%	99.5%	99.6%	89.6%	89%	90.2%
12	99.6%	99.6%	99.6%	89.7%	89.1%	90.4%
11	99.6%	99.6%	99.6%	89.9%	89.2%	90.5%
10	99.6%	99.6%	99.6%	90%	89.4%	90.6%
9	99.6%	99.6%	99.6%	90.1%	89.5%	90.8%
8	99.6%	99.6%	99.6%	90.3%	89.7%	91%
7	99.6%	99.6%	99.6%	90.5%	89.9%	91.2%
6	99.6%	99.6%	99.7%	90.8%	90.1%	91.4%
5	99.6%	99.6%	99.7%	91.1%	90.4%	91.8%
4	99.7%	99.6%	99.7%	91.5%	90.8%	92.3%
3	99.7%	99.7%	99.7%	92.1%	91.4%	92.9%
2	99.7%	99.7%	99.7%	93%	92.3%	93.7%
1	99.7%	99.7%	99.7%	94.2%	93.7%	94.8%

This chart shows the odds of living to each age from birth. 85.7% of newborns in Lithuania and 68% in Mali are expected to live past 60, 72.1% and 50.6% past 70, 51.1% and 21.7% past 80, and only 18.6% and 2.02% 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

Mali

Male

Female

1x

Age	Probability of dying
	Lithuania			Mali
	Average	Male	Female	Average	Male	Female
100	39.3%	39.3%	39.3%	52.3%	55.3%	52.1%
99	36.9%	37.2%	36.8%	50.7%	53.4%	50.2%
98	34.4%	35%	34.3%	48.8%	51.7%	48.4%
97	32%	32.8%	31.8%	47.3%	50%	46.6%
96	29.6%	30.6%	29.3%	45.7%	48.1%	44.7%
95	27.1%	28.5%	26.8%	43.8%	46.1%	42.8%
94	25.2%	27.3%	24.6%	41.9%	43.9%	40.8%
93	23.2%	25.7%	22.5%	39.8%	41.6%	38.7%
92	20.7%	22.1%	20.2%	37.5%	39.3%	36.4%
91	18.3%	19.3%	18%	35%	36.7%	34%
90	16.8%	19.1%	16.1%	32.5%	34.1%	31.5%
89	15.2%	17.3%	14.5%	29.9%	31.4%	28.9%
88	13.5%	15.1%	13%	27.4%	28.8%	26.5%
87	12.3%	14.4%	11.6%	25.2%	26.3%	24.3%
86	11%	13.1%	10.2%	23.1%	24.1%	22.4%
85	9.6%	11.4%	8.93%	21.3%	22.1%	20.6%
84	8.47%	10.4%	7.75%	19.6%	20.3%	19%
83	7.54%	9.67%	6.7%	18%	18.7%	17.5%
82	6.69%	8.81%	5.82%	16.5%	17.1%	16.1%
81	6.01%	8.11%	5.12%	15%	15.6%	14.6%
80	5.41%	7.44%	4.51%	13.6%	14.2%	13.2%
79	4.77%	6.65%	3.91%	12.3%	12.9%	11.9%
78	4.3%	6.23%	3.39%	11.1%	11.7%	10.6%
77	3.98%	6%	2.98%	10%	10.6%	9.54%
76	3.69%	5.61%	2.7%	9.03%	9.58%	8.58%
75	3.4%	5.16%	2.45%	8.15%	8.67%	7.73%
74	3.14%	4.82%	2.19%	7.36%	7.83%	6.97%
73	2.93%	4.53%	1.99%	6.63%	7.07%	6.27%
72	2.74%	4.26%	1.82%	5.96%	6.37%	5.62%
71	2.54%	4.02%	1.6%	5.35%	5.74%	5.02%
70	2.35%	3.77%	1.44%	4.8%	5.17%	4.47%
69	2.23%	3.51%	1.37%	4.3%	4.67%	3.98%
68	2.11%	3.33%	1.26%	3.88%	4.24%	3.56%
67	2.01%	3.19%	1.16%	3.51%	3.87%	3.2%
66	1.92%	3.03%	1.11%	3.2%	3.54%	2.89%
65	1.79%	2.81%	1.01%	2.93%	3.26%	2.62%
64	1.64%	2.58%	0.9%	2.68%	3%	2.38%
63	1.52%	2.36%	0.83%	2.46%	2.77%	2.16%
62	1.41%	2.17%	0.78%	2.24%	2.55%	1.95%
61	1.31%	2.01%	0.71%	2.04%	2.34%	1.75%
60	1.2%	1.86%	0.63%	1.85%	2.14%	1.57%
59	1.09%	1.69%	0.58%	1.68%	1.96%	1.41%
58	0.98%	1.48%	0.54%	1.54%	1.8%	1.27%
57	0.91%	1.39%	0.47%	1.41%	1.67%	1.16%
56	0.86%	1.34%	0.42%	1.31%	1.55%	1.08%
55	0.83%	1.26%	0.42%	1.22%	1.44%	1%
54	0.78%	1.16%	0.42%	1.14%	1.34%	0.94%
53	0.7%	1.06%	0.36%	1.07%	1.25%	0.88%
52	0.65%	0.97%	0.34%	1%	1.16%	0.83%
51	0.61%	0.88%	0.34%	0.92%	1.08%	0.77%
50	0.56%	0.83%	0.29%	0.86%	1%	0.71%
49	0.53%	0.78%	0.27%	0.79%	0.93%	0.66%
48	0.51%	0.74%	0.27%	0.74%	0.86%	0.62%
47	0.48%	0.69%	0.25%	0.7%	0.81%	0.58%
46	0.44%	0.64%	0.23%	0.66%	0.77%	0.55%
45	0.41%	0.6%	0.2%	0.63%	0.73%	0.53%
44	0.38%	0.54%	0.2%	0.6%	0.69%	0.51%
43	0.35%	0.5%	0.19%	0.58%	0.66%	0.5%
42	0.33%	0.49%	0.16%	0.56%	0.62%	0.49%
41	0.31%	0.47%	0.13%	0.53%	0.58%	0.48%
40	0.28%	0.42%	0.13%	0.51%	0.55%	0.46%
39	0.28%	0.41%	0.13%	0.48%	0.52%	0.45%
38	0.27%	0.4%	0.12%	0.46%	0.49%	0.43%
37	0.23%	0.33%	0.11%	0.44%	0.47%	0.41%
36	0.21%	0.3%	0.1%	0.43%	0.46%	0.4%
35	0.2%	0.29%	0.09%	0.42%	0.45%	0.39%
34	0.19%	0.28%	0.09%	0.41%	0.44%	0.38%
33	0.18%	0.26%	0.09%	0.4%	0.43%	0.37%
32	0.15%	0.23%	0.06%	0.39%	0.42%	0.36%
31	0.13%	0.2%	0.06%	0.38%	0.4%	0.36%
30	0.13%	0.19%	0.06%	0.37%	0.39%	0.35%
29	0.13%	0.2%	0.05%	0.36%	0.37%	0.35%
28	0.11%	0.18%	0.04%	0.35%	0.36%	0.35%
27	0.09%	0.14%	0.04%	0.35%	0.36%	0.34%
26	0.08%	0.13%	0.04%	0.35%	0.36%	0.33%
25	0.08%	0.12%	0.03%	0.35%	0.37%	0.32%
24	0.07%	0.11%	0.03%	0.35%	0.38%	0.31%
23	0.07%	0.1%	0.03%	0.34%	0.38%	0.31%
22	0.06%	0.09%	0.03%	0.34%	0.37%	0.3%
21	0.06%	0.08%	0.03%	0.32%	0.35%	0.29%
20	0.06%	0.08%	0.03%	0.3%	0.33%	0.28%
19	0.06%	0.09%	0.03%	0.28%	0.29%	0.27%
18	0.05%	0.07%	0.03%	0.25%	0.26%	0.25%
17	0.03%	0.04%	0.02%	0.23%	0.23%	0.23%
16	0.03%	0.05%	0.02%	0.2%	0.2%	0.21%
15	0.03%	0.04%	0.02%	0.18%	0.18%	0.18%
14	0.03%	0.03%	0.02%	0.16%	0.16%	0.16%
13	0.02%	0.02%	0.02%	0.15%	0.15%	0.15%
12	0.01%	0.02%	0.01%	0.14%	0.14%	0.14%
11	0.01%	0.02%	0.008%	0.14%	0.14%	0.14%
10	0.01%	0.01%	0.01%	0.15%	0.14%	0.15%
9	0.01%	0.009%	0.01%	0.16%	0.16%	0.17%
8	0.01%	0.01%	0.01%	0.19%	0.18%	0.2%
7	0.01%	0.01%	0.01%	0.22%	0.21%	0.24%
6	0.01%	0.009%	0.01%	0.28%	0.26%	0.3%
5	0.009%	0.009%	0.01%	0.36%	0.35%	0.38%
4	0.01%	0.01%	0.01%	0.49%	0.47%	0.5%
3	0.01%	0.01%	0.01%	0.66%	0.67%	0.66%
2	0.01%	0.01%	0.01%	0.92%	0.96%	0.87%
1	0.03%	0.02%	0.03%	1.28%	1.4%	1.16%
0	0.29%	0.3%	0.28%	5.79%	6.35%	5.22%

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

The annual chance of dying is 0.29% in the birth year in Lithuania and 5.79% in Mali, 0.13% vs 0.37% at age 30, 1.2% vs 1.85% at 60, and 5.41% vs 13.6% at 80.

Death rate by age in Lithuania vs Mali

Chart Table

Lithuania

Male

Female

Mali

Male

Female

1x

Age	Death rate
	Lithuania			Mali
	Total	Male	Female	Total	Male	Female
100	174.6	56.5	274.1	0	0	0
99	485	230.3	706	8.11	4.73	11.3
98	690	333	1,000	15.2	9.49	21.1
97	945	465	1,362	28	18.3	38
96	1,240	624	1,777	49.8	33.9	66
95	1,559	812	2,213	85.1	60.2	110.5
94	1,933	1,074	2,695	139.8	102.4	178
93	2,322	1,356	3,186	220.3	166.4	275.1
92	2,605	1,503	3,588	332	258.3	407
91	2,822	1,627	3,887	478	382	576
90	3,119	1,989	4,148	657	538	778
89	3,315	2,179	4,361	863	722	1,007
88	3,420	2,242	4,500	1,091	929	1,256
87	3,556	2,501	4,539	1,337	1,154	1,523
86	3,561	2,606	4,462	1,596	1,393	1,804
85	3,442	2,562	4,282	1,865	1,640	2,096
84	3,319	2,605	4,028	2,136	1,891	2,389
83	3,194	2,688	3,733	2,397	2,134	2,667
82	3,036	2,683	3,441	2,630	2,360	2,911
81	2,903	2,691	3,191	2,822	2,556	3,100
80	2,761	2,665	2,945	2,964	2,715	3,225
79	2,559	2,550	2,657	3,053	2,831	3,288
78	2,410	2,551	2,381	3,096	2,905	3,299
77	2,321	2,611	2,161	3,101	2,940	3,273
76	2,234	2,586	2,009	3,075	2,941	3,221
75	2,134	2,512	1,873	3,023	2,912	3,146
74	2,030	2,466	1,712	2,946	2,854	3,048
73	1,953	2,423	1,589	2,844	2,772	2,924
72	1,881	2,380	1,473	2,719	2,669	2,777
71	1,785	2,341	1,322	2,577	2,551	2,610
70	1,696	2,284	1,202	2,426	2,425	2,433
69	1,642	2,203	1,159	2,276	2,298	2,257
68	1,590	2,161	1,081	2,133	2,177	2,091
67	1,542	2,140	1,004	2,003	2,065	1,942
66	1,507	2,091	975	1,885	1,962	1,808
65	1,429	2,002	900	1,777	1,866	1,686
64	1,330	1,887	809	1,672	1,773	1,569
63	1,248	1,765	754	1,569	1,680	1,454
62	1,177	1,655	711	1,464	1,586	1,337
61	1,106	1,569	648	1,359	1,490	1,222
60	1,028	1,481	582	1,257	1,395	1,112
59	942	1,363	535	1,163	1,304	1,013
58	857	1,218	506	1,079	1,222	928
57	800	1,155	445	1,007	1,147	858
56	766	1,132	394	947	1,082	803
55	742	1,077	398	894	1,022	756
54	702	1,001	394	845	966	716
53	639	928	338	799	911	678
52	596	853	327	752	857	638
51	560	787	324	704	803	598
50	518	741	280.7	658	751	559
49	493	708	260	615	703	521
48	475	674	256.5	578	661	489
47	448	630	244.5	547	626	463
46	417	589	222.4	522	596	443
45	391	555	199.3	502	570	429
44	361	507	192	484	547	418
43	336	467	183.2	468	523	409
42	320	461	155.8	451	497	401
41	301	446	132.1	433	470	392
40	275.1	398	130.8	414	444	382
39	271.3	396	125	397	421	371
38	262.3	387	115.9	381	401	360
37	224.5	322	110.3	368	387	348
36	201.3	287.8	100.8	358	377	337
35	194	281.1	93.1	349	371	327
34	186.8	269.6	92.7	343	365	319
33	172.2	250.4	84.7	336	359	313
32	148.5	225.2	62.9	330	349	309
31	130.3	194.6	59.1	323	338	306
30	123.6	182.3	59.6	316	326	305
29	123.7	194.9	46.9	310	316	303
28	109.5	173.6	40.2	305	309	301
27	90.6	138.4	39.5	302	308	296.5
26	82.1	123.9	38.2	301	311	290.5
25	77	118.5	33.7	301	318	283.3
24	67.9	107	27.3	301	325	275.8
23	64.5	99.2	28.2	299.3	328	268.9
22	62.3	92.2	31.2	294.3	324	262.8
21	56.7	82.6	30	284.2	310	257
20	56.2	83.3	28.3	268.6	286.7	249.8
19	62.7	94.3	30	248.7	257.4	239.7
18	50.7	70.8	29.8	226.3	227.3	225.3
17	34.2	43.8	24.1	203.2	200	206.5
16	30.9	45.9	15.2	181.1	176.7	185.6
15	29.1	40.8	16.8	161.2	157.6	164.9
14	25	28.9	20.8	145.1	142.7	147.5
13	19.1	21.8	16.4	133.7	132.3	135.2
12	14.3	18.6	9.7	127.7	126.6	128.7
11	12.2	15.7	8.41	127.3	125.6	129
10	10.5	10.8	10.2	132.9	129.4	136.5
9	10.3	9.11	11.5	145.8	139.4	152.4
8	12	13.2	10.7	167.8	157.7	178.4
7	11.3	12	10.7	202.2	188	217
6	9.63	8.66	10.7	254	236.2	272.5
5	9.42	9.23	9.62	331	312	351
4	11.3	12.2	10.4	445	430	460
3	13.8	14.4	13.1	611	612	610
2	13.2	14.4	11.8	854	889	818
1	25.4	24.3	26.4	1,209	1,312	1,103
0	291.9	305	278.5	5,789	6,350	5,215

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 0 in Mali. The median age of death is 80.4 in Lithuania and 70.2 in Mali, 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 Mali more than their death rates.

Life expectancy in other countries

+ -

1x