Life Expectancy in Lithuania vs Malawi (1950-2026)

Life expectancy by current age

Chart Table

Lithuania

Male

Female

Malawi

Male

Female

1x

Current age, years	Total life expectancy, years
	Lithuania			Malawi
	Average	Male	Female	Average	Male	Female
100	102	101.8	102	102.1	101.9	102.2
99	101.1	100.9	101.1	101.2	101	101.3
98	100.2	100.1	100.2	100.3	100.1	100.4
97	99.3	99.2	99.3	99.4	99.2	99.5
96	98.5	98.4	98.5	98.6	98.4	98.6
95	97.7	97.6	97.7	97.7	97.5	97.8
94	96.9	96.7	96.9	96.9	96.6	97
93	96.1	95.9	96.1	96	95.8	96.1
92	95.4	95.2	95.4	95.2	94.9	95.3
91	94.6	94.4	94.7	94.4	94.1	94.5
90	94	93.7	94	93.6	93.2	93.8
89	93.3	93	93.4	92.8	92.4	93
88	92.6	92.3	92.7	92.1	91.6	92.2
87	92	91.6	92.1	91.3	90.8	91.5
86	91.4	90.9	91.6	90.6	90.1	90.8
85	90.8	90.3	91	89.8	89.3	90.1
84	90.3	89.7	90.5	89.1	88.5	89.4
83	89.8	89.1	90	88.4	87.8	88.8
82	89.3	88.5	89.6	87.8	87.1	88.2
81	88.8	88	89.2	87.2	86.4	87.6
80	88.4	87.4	88.8	86.5	85.8	87
79	88	86.9	88.4	85.9	85.1	86.4
78	87.5	86.4	88.1	85.3	84.5	85.9
77	87.1	85.8	87.8	84.8	83.8	85.3
76	86.8	85.3	87.5	84.2	83.2	84.8
75	86.4	84.8	87.2	83.6	82.7	84.3
74	86	84.3	86.9	83.1	82.1	83.9
73	85.6	83.8	86.6	82.6	81.5	83.4
72	85.3	83.3	86.4	82.1	81	83
71	84.9	82.9	86.1	81.7	80.5	82.5
70	84.6	82.4	85.9	81.2	80	82.1
69	84.2	81.9	85.7	80.8	79.5	81.8
68	83.9	81.5	85.5	80.3	79	81.4
67	83.6	81	85.3	79.9	78.6	81
66	83.3	80.6	85.1	79.5	78.1	80.7
65	82.9	80.2	84.9	79.2	77.7	80.4
64	82.6	79.8	84.7	78.8	77.3	80
63	82.3	79.4	84.5	78.5	76.9	79.8
62	82.1	79	84.3	78.1	76.5	79.5
61	81.8	78.7	84.2	77.8	76.1	79.2
60	81.5	78.3	84	77.5	75.8	78.9
59	81.3	78	83.9	77.2	75.4	78.7
58	81.1	77.7	83.7	76.9	75.1	78.5
57	80.9	77.4	83.6	76.7	74.8	78.2
56	80.7	77.2	83.5	76.4	74.5	78
55	80.4	76.9	83.4	76.1	74.2	77.8
54	80.2	76.6	83.3	75.9	73.9	77.6
53	80.1	76.4	83.2	75.6	73.6	77.4
52	79.9	76.2	83.1	75.4	73.3	77.3
51	79.7	75.9	82.9	75.2	73	77.1
50	79.5	75.7	82.9	75	72.8	76.9
49	79.4	75.5	82.8	74.8	72.5	76.7
48	79.2	75.3	82.7	74.6	72.3	76.6
47	79.1	75.1	82.6	74.4	72.1	76.5
46	78.9	74.9	82.5	74.2	71.9	76.3
45	78.8	74.8	82.4	74	71.7	76.2
44	78.7	74.6	82.3	73.8	71.5	76.1
43	78.5	74.4	82.3	73.7	71.3	75.9
42	78.4	74.3	82.2	73.5	71.1	75.8
41	78.3	74.1	82.2	73.4	70.9	75.7
40	78.2	74	82.1	73.3	70.7	75.6
39	78.1	73.9	82	73.1	70.6	75.5
38	78	73.7	82	73	70.4	75.4
37	77.9	73.6	81.9	72.9	70.2	75.3
36	77.8	73.5	81.9	72.7	70.1	75.2
35	77.7	73.4	81.9	72.6	69.9	75.1
34	77.6	73.3	81.8	72.5	69.8	75
33	77.6	73.2	81.8	72.4	69.7	75
32	77.5	73.1	81.7	72.3	69.5	74.9
31	77.4	73	81.7	72.2	69.4	74.8
30	77.4	72.9	81.7	72.1	69.3	74.7
29	77.3	72.8	81.7	72	69.2	74.7
28	77.3	72.7	81.6	71.9	69.1	74.6
27	77.2	72.7	81.6	71.8	68.9	74.5
26	77.2	72.6	81.6	71.7	68.8	74.5
25	77.1	72.6	81.6	71.6	68.7	74.4
24	77.1	72.5	81.6	71.6	68.6	74.3
23	77.1	72.5	81.5	71.5	68.5	74.3
22	77	72.4	81.5	71.4	68.4	74.2
21	77	72.4	81.5	71.3	68.3	74.2
20	77	72.3	81.5	71.2	68.2	74.1
19	76.9	72.3	81.5	71.2	68.1	74.1
18	76.9	72.2	81.4	71.1	68	74
17	76.9	72.2	81.4	71	68	74
16	76.9	72.2	81.4	71	67.9	73.9
15	76.8	72.2	81.4	70.9	67.8	73.9
14	76.8	72.2	81.4	70.9	67.8	73.9
13	76.8	72.1	81.4	70.9	67.8	73.8
12	76.8	72.1	81.4	70.8	67.7	73.8
11	76.8	72.1	81.4	70.8	67.7	73.8
10	76.8	72.1	81.4	70.7	67.6	73.7
9	76.8	72.1	81.4	70.7	67.6	73.7
8	76.8	72.1	81.3	70.7	67.5	73.6
7	76.8	72.1	81.3	70.6	67.5	73.6
6	76.8	72.1	81.3	70.5	67.4	73.5
5	76.8	72.1	81.3	70.5	67.4	73.5
4	76.7	72.1	81.3	70.4	67.3	73.4
3	76.7	72.1	81.3	70.3	67.1	73.3
2	76.7	72	81.3	70.1	67	73.1
1	76.7	72	81.3	69.8	66.7	72.9
0	76.5	71.8	81.1	67.9	64.6	71.1

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 Lithuania can expect to live to 77.4 years compared to 72.1 in Malawi, rising to 82.9 and 79.2 at 65, and to 88.4 and 86.5 at 80 — higher than the 76.5 and 67.9 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Lithuania

Male

Female

Malawi

Male

Female

1x

Age	Survival probability
	Lithuania			Malawi
	Average	Male	Female	Average	Male	Female
100	0.83%	0.39%	1.21%	0.28%	0.11%	0.45%
99	1.32%	0.62%	1.92%	0.42%	0.17%	0.68%
98	2.01%	0.95%	2.92%	0.63%	0.26%	1%
97	2.95%	1.42%	4.28%	0.91%	0.4%	1.43%
96	4.19%	2.04%	6.06%	1.29%	0.58%	2.01%
95	5.75%	2.85%	8.27%	1.8%	0.84%	2.76%
94	7.68%	3.93%	11%	2.44%	1.19%	3.7%
93	10%	5.28%	14.2%	3.24%	1.64%	4.85%
92	12.6%	6.79%	17.7%	4.23%	2.22%	6.24%
91	15.4%	8.41%	21.6%	5.39%	2.93%	7.85%
90	18.6%	10.4%	25.8%	6.79%	3.82%	9.75%
89	21.9%	12.6%	30.1%	8.39%	4.88%	11.9%
88	25.3%	14.8%	34.6%	10.2%	6.14%	14.2%
87	28.8%	17.3%	39.2%	12.2%	7.6%	16.8%
86	32.4%	19.9%	43.6%	14.5%	9.26%	19.6%
85	35.8%	22.5%	47.9%	16.9%	11.1%	22.5%
84	39.2%	25.1%	51.9%	19.5%	13.2%	25.6%
83	42.4%	27.8%	55.7%	22.1%	15.4%	28.7%
82	45.4%	30.5%	59.1%	24.9%	17.8%	31.9%
81	48.3%	33.2%	62.3%	27.7%	20.2%	35%
80	51.1%	35.8%	65.3%	30.6%	22.8%	38.2%
79	53.6%	38.4%	67.9%	33.5%	25.5%	41.3%
78	56%	40.9%	70.3%	36.4%	28.2%	44.4%
77	58.3%	43.5%	72.5%	39.3%	31%	47.4%
76	60.6%	46.1%	74.5%	42.1%	33.7%	50.3%
75	62.7%	48.6%	76.3%	44.9%	36.5%	53.1%
74	64.7%	51.1%	78.1%	47.7%	39.2%	55.8%
73	66.7%	53.5%	79.6%	50.3%	41.9%	58.4%
72	68.6%	55.9%	81.1%	52.9%	44.6%	60.9%
71	70.4%	58.2%	82.4%	55.3%	47.1%	63.2%
70	72.1%	60.5%	83.6%	57.7%	49.6%	65.4%
69	73.7%	62.7%	84.8%	59.9%	52%	67.4%
68	75.3%	64.9%	85.9%	62.1%	54.3%	69.4%
67	76.8%	67%	86.9%	64.1%	56.5%	71.2%
66	78.3%	69.1%	87.9%	66%	58.7%	72.9%
65	79.8%	71.1%	88.8%	67.8%	60.7%	74.5%
64	81.1%	73%	89.6%	69.5%	62.7%	76%
63	82.3%	74.8%	90.3%	71.1%	64.6%	77.4%
62	83.5%	76.4%	91%	72.7%	66.4%	78.7%
61	84.6%	78%	91.7%	74.1%	68.1%	79.9%
60	85.7%	79.5%	92.3%	75.4%	69.7%	81%
59	86.6%	80.8%	92.8%	76.6%	71.2%	82%
58	87.5%	82.1%	93.3%	77.8%	72.6%	83%
57	88.3%	83.2%	93.7%	78.9%	74%	83.8%
56	89%	84.4%	94.1%	80%	75.2%	84.7%
55	89.8%	85.4%	94.5%	81%	76.5%	85.5%
54	90.5%	86.4%	94.9%	81.9%	77.6%	86.2%
53	91.1%	87.4%	95.3%	82.8%	78.7%	86.9%
52	91.7%	88.2%	95.6%	83.7%	79.8%	87.5%
51	92.3%	89%	95.9%	84.5%	80.7%	88.1%
50	92.8%	89.7%	96.2%	85.2%	81.7%	88.7%
49	93.3%	90.4%	96.5%	85.9%	82.5%	89.2%
48	93.7%	91.1%	96.7%	86.6%	83.3%	89.7%
47	94.2%	91.8%	97%	87.2%	84.1%	90.1%
46	94.6%	92.3%	97.2%	87.7%	84.8%	90.5%
45	95%	92.9%	97.4%	88.3%	85.5%	90.9%
44	95.4%	93.4%	97.6%	88.8%	86.1%	91.3%
43	95.7%	93.9%	97.8%	89.2%	86.7%	91.6%
42	96%	94.3%	97.9%	89.7%	87.3%	92%
41	96.3%	94.8%	98%	90.1%	87.8%	92.3%
40	96.6%	95.2%	98.2%	90.5%	88.3%	92.5%
39	96.9%	95.6%	98.3%	90.8%	88.8%	92.8%
38	97.1%	96%	98.4%	91.2%	89.3%	93.1%
37	97.4%	96.3%	98.5%	91.5%	89.7%	93.3%
36	97.6%	96.6%	98.6%	91.8%	90.1%	93.5%
35	97.8%	96.9%	98.7%	92.1%	90.5%	93.7%
34	97.9%	97.1%	98.8%	92.4%	90.8%	93.9%
33	98.1%	97.4%	98.9%	92.6%	91.1%	94.1%
32	98.3%	97.6%	99%	92.9%	91.5%	94.3%
31	98.4%	97.8%	99%	93.1%	91.8%	94.4%
30	98.5%	98%	99.1%	93.3%	92.1%	94.6%
29	98.6%	98.2%	99.1%	93.5%	92.3%	94.7%
28	98.7%	98.3%	99.2%	93.7%	92.6%	94.9%
27	98.8%	98.5%	99.2%	93.9%	92.9%	95%
26	98.9%	98.6%	99.2%	94.1%	93.1%	95.1%
25	99%	98.7%	99.3%	94.3%	93.3%	95.2%
24	99.1%	98.8%	99.3%	94.5%	93.6%	95.4%
23	99.1%	98.9%	99.3%	94.6%	93.8%	95.5%
22	99.2%	99%	99.4%	94.8%	94%	95.6%
21	99.2%	99.1%	99.4%	94.9%	94.2%	95.7%
20	99.3%	99.2%	99.4%	95.1%	94.4%	95.8%
19	99.4%	99.3%	99.5%	95.2%	94.6%	95.9%
18	99.4%	99.4%	99.5%	95.3%	94.7%	96%
17	99.5%	99.4%	99.5%	95.4%	94.9%	96%
16	99.5%	99.4%	99.5%	95.5%	95%	96.1%
15	99.5%	99.5%	99.5%	95.6%	95.1%	96.2%
14	99.5%	99.5%	99.6%	95.7%	95.2%	96.2%
13	99.6%	99.5%	99.6%	95.8%	95.2%	96.3%
12	99.6%	99.6%	99.6%	95.8%	95.3%	96.3%
11	99.6%	99.6%	99.6%	95.9%	95.4%	96.4%
10	99.6%	99.6%	99.6%	95.9%	95.4%	96.4%
9	99.6%	99.6%	99.6%	96%	95.5%	96.5%
8	99.6%	99.6%	99.6%	96.1%	95.6%	96.5%
7	99.6%	99.6%	99.6%	96.1%	95.7%	96.6%
6	99.6%	99.6%	99.7%	96.2%	95.8%	96.7%
5	99.6%	99.6%	99.7%	96.3%	95.9%	96.8%
4	99.7%	99.6%	99.7%	96.5%	96%	96.9%
3	99.7%	99.7%	99.7%	96.6%	96.2%	97%
2	99.7%	99.7%	99.7%	96.9%	96.5%	97.3%
1	99.7%	99.7%	99.7%	97.2%	96.9%	97.6%

This chart shows the odds of living to each age from birth. 85.7% of newborns in Lithuania and 75.4% in Malawi are expected to live past 60, 72.1% and 57.7% past 70, 51.1% and 30.6% past 80, and only 18.6% and 6.79% 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

Malawi

Male

Female

1x

Age	Probability of dying
	Lithuania			Malawi
	Average	Male	Female	Average	Male	Female
100	39.3%	39.3%	39.3%	35.9%	38.2%	35.3%
99	36.9%	37.2%	36.8%	34.4%	36.8%	33.8%
98	34.4%	35%	34.3%	32.6%	35.1%	31.9%
97	32%	32.8%	31.8%	31.2%	33.7%	30.4%
96	29.6%	30.6%	29.3%	29.7%	32.3%	28.8%
95	27.1%	28.5%	26.8%	28.1%	30.8%	27.2%
94	25.2%	27.3%	24.6%	26.3%	29.1%	25.4%
93	23.2%	25.7%	22.5%	24.7%	27.5%	23.7%
92	20.7%	22.1%	20.2%	23.3%	26%	22.2%
91	18.3%	19.3%	18%	21.6%	24.4%	20.5%
90	16.8%	19.1%	16.1%	20.6%	23.3%	19.5%
89	15.2%	17.3%	14.5%	19%	21.7%	17.8%
88	13.5%	15.1%	13%	17.8%	20.5%	16.6%
87	12.3%	14.4%	11.6%	16.6%	19.2%	15.3%
86	11%	13.1%	10.2%	15.4%	18%	14.2%
85	9.6%	11.4%	8.93%	14.3%	16.7%	13.1%
84	8.47%	10.4%	7.75%	13.3%	15.6%	12%
83	7.54%	9.67%	6.7%	12.1%	14.4%	10.9%
82	6.69%	8.81%	5.82%	11.1%	13.3%	9.93%
81	6.01%	8.11%	5.12%	10.1%	12.1%	8.87%
80	5.41%	7.44%	4.51%	9.44%	11.4%	8.27%
79	4.77%	6.65%	3.91%	8.65%	10.4%	7.55%
78	4.3%	6.23%	3.39%	8.01%	9.69%	6.95%
77	3.98%	6%	2.98%	7.31%	8.88%	6.31%
76	3.69%	5.61%	2.7%	6.76%	8.21%	5.8%
75	3.4%	5.16%	2.45%	6.27%	7.59%	5.34%
74	3.14%	4.82%	2.19%	5.75%	6.98%	4.86%
73	2.93%	4.53%	1.99%	5.28%	6.42%	4.43%
72	2.74%	4.26%	1.82%	4.86%	5.92%	4.05%
71	2.54%	4.02%	1.6%	4.4%	5.38%	3.63%
70	2.35%	3.77%	1.44%	4.11%	5.03%	3.39%
69	2.23%	3.51%	1.37%	3.72%	4.59%	3.03%
68	2.11%	3.33%	1.26%	3.43%	4.25%	2.78%
67	2.01%	3.19%	1.16%	3.15%	3.93%	2.54%
66	1.92%	3.03%	1.11%	2.9%	3.64%	2.33%
65	1.79%	2.81%	1.01%	2.7%	3.4%	2.17%
64	1.64%	2.58%	0.9%	2.47%	3.15%	1.97%
63	1.52%	2.36%	0.83%	2.27%	2.92%	1.8%
62	1.41%	2.17%	0.78%	2.09%	2.7%	1.65%
61	1.31%	2.01%	0.71%	1.9%	2.48%	1.49%
60	1.2%	1.86%	0.63%	1.77%	2.32%	1.39%
59	1.09%	1.69%	0.58%	1.62%	2.12%	1.25%
58	0.98%	1.48%	0.54%	1.5%	1.97%	1.15%
57	0.91%	1.39%	0.47%	1.4%	1.83%	1.06%
56	0.86%	1.34%	0.42%	1.31%	1.7%	0.98%
55	0.83%	1.26%	0.42%	1.23%	1.59%	0.91%
54	0.78%	1.16%	0.42%	1.16%	1.49%	0.85%
53	0.7%	1.06%	0.36%	1.09%	1.39%	0.79%
52	0.65%	0.97%	0.34%	1.02%	1.3%	0.74%
51	0.61%	0.88%	0.34%	0.94%	1.21%	0.67%
50	0.56%	0.83%	0.29%	0.89%	1.14%	0.63%
49	0.53%	0.78%	0.27%	0.82%	1.05%	0.58%
48	0.51%	0.74%	0.27%	0.76%	0.98%	0.54%
47	0.48%	0.69%	0.25%	0.7%	0.91%	0.5%
46	0.44%	0.64%	0.23%	0.65%	0.84%	0.46%
45	0.41%	0.6%	0.2%	0.6%	0.79%	0.43%
44	0.38%	0.54%	0.2%	0.56%	0.74%	0.4%
43	0.35%	0.5%	0.19%	0.52%	0.69%	0.37%
42	0.33%	0.49%	0.16%	0.49%	0.65%	0.35%
41	0.31%	0.47%	0.13%	0.45%	0.6%	0.33%
40	0.28%	0.42%	0.13%	0.43%	0.57%	0.31%
39	0.28%	0.41%	0.13%	0.4%	0.53%	0.29%
38	0.27%	0.4%	0.12%	0.38%	0.5%	0.27%
37	0.23%	0.33%	0.11%	0.35%	0.47%	0.25%
36	0.21%	0.3%	0.1%	0.33%	0.44%	0.23%
35	0.2%	0.29%	0.09%	0.31%	0.42%	0.22%
34	0.19%	0.28%	0.09%	0.29%	0.39%	0.21%
33	0.18%	0.26%	0.09%	0.28%	0.37%	0.19%
32	0.15%	0.23%	0.06%	0.26%	0.35%	0.18%
31	0.13%	0.2%	0.06%	0.25%	0.33%	0.17%
30	0.13%	0.19%	0.06%	0.24%	0.32%	0.16%
29	0.13%	0.2%	0.05%	0.23%	0.3%	0.15%
28	0.11%	0.18%	0.04%	0.22%	0.29%	0.15%
27	0.09%	0.14%	0.04%	0.21%	0.27%	0.14%
26	0.08%	0.13%	0.04%	0.2%	0.26%	0.13%
25	0.08%	0.12%	0.03%	0.19%	0.25%	0.13%
24	0.07%	0.11%	0.03%	0.18%	0.24%	0.12%
23	0.07%	0.1%	0.03%	0.18%	0.24%	0.12%
22	0.06%	0.09%	0.03%	0.17%	0.23%	0.11%
21	0.06%	0.08%	0.03%	0.16%	0.21%	0.11%
20	0.06%	0.08%	0.03%	0.15%	0.2%	0.1%
19	0.06%	0.09%	0.03%	0.14%	0.19%	0.1%
18	0.05%	0.07%	0.03%	0.13%	0.17%	0.09%
17	0.03%	0.04%	0.02%	0.11%	0.15%	0.08%
16	0.03%	0.05%	0.02%	0.1%	0.12%	0.08%
15	0.03%	0.04%	0.02%	0.09%	0.1%	0.07%
14	0.03%	0.03%	0.02%	0.07%	0.09%	0.06%
13	0.02%	0.02%	0.02%	0.07%	0.08%	0.06%
12	0.01%	0.02%	0.01%	0.06%	0.07%	0.05%
11	0.01%	0.02%	0.008%	0.06%	0.07%	0.05%
10	0.01%	0.01%	0.01%	0.06%	0.07%	0.05%
9	0.01%	0.009%	0.01%	0.07%	0.07%	0.06%
8	0.01%	0.01%	0.01%	0.07%	0.08%	0.06%
7	0.01%	0.01%	0.01%	0.08%	0.09%	0.07%
6	0.01%	0.009%	0.01%	0.09%	0.1%	0.08%
5	0.009%	0.009%	0.01%	0.1%	0.11%	0.09%
4	0.01%	0.01%	0.01%	0.13%	0.14%	0.12%
3	0.01%	0.01%	0.01%	0.17%	0.19%	0.16%
2	0.01%	0.01%	0.01%	0.25%	0.27%	0.22%
1	0.03%	0.02%	0.03%	0.39%	0.42%	0.36%
0	0.29%	0.3%	0.28%	2.76%	3.13%	2.38%

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

The annual chance of dying is 0.29% in the birth year in Lithuania and 2.76% in Malawi, 0.13% vs 0.24% at age 30, 1.2% vs 1.77% at 60, and 5.41% vs 9.44% at 80.

Death rate by age in Lithuania vs Malawi

Chart Table

Lithuania

Male

Female

Malawi

Male

Female

1x

Age	Death rate
	Lithuania			Malawi
	Total	Male	Female	Total	Male	Female
100	174.6	56.5	274.1	34.7	0.008	71
99	485	230.3	706	145.2	62.6	229.1
98	690	333	1,000	204.3	91.9	318
97	945	465	1,362	283.6	133.3	435
96	1,240	624	1,777	384	188.4	580
95	1,559	812	2,213	505	259.5	751
94	1,933	1,074	2,695	643	345	939
93	2,322	1,356	3,186	802	451	1,153
92	2,605	1,503	3,588	983	576	1,387
91	2,822	1,627	3,887	1,166	714	1,612
90	3,119	1,989	4,148	1,399	890	1,900
89	3,315	2,179	4,361	1,594	1,061	2,117
88	3,420	2,242	4,500	1,819	1,259	2,365
87	3,556	2,501	4,539	2,026	1,457	2,578
86	3,561	2,606	4,462	2,231	1,664	2,778
85	3,442	2,562	4,282	2,412	1,861	2,944
84	3,319	2,605	4,028	2,577	2,061	3,073
83	3,194	2,688	3,733	2,684	2,217	3,131
82	3,036	2,683	3,441	2,777	2,368	3,168
81	2,903	2,691	3,191	2,788	2,455	3,104
80	2,761	2,665	2,945	2,887	2,601	3,158
79	2,559	2,550	2,657	2,894	2,661	3,115
78	2,410	2,551	2,381	2,915	2,734	3,085
77	2,321	2,611	2,161	2,869	2,749	2,989
76	2,234	2,586	2,009	2,847	2,770	2,916
75	2,134	2,512	1,873	2,815	2,769	2,834
74	2,030	2,466	1,712	2,739	2,737	2,711
73	1,953	2,423	1,589	2,655	2,691	2,586
72	1,881	2,380	1,473	2,572	2,639	2,467
71	1,785	2,341	1,322	2,433	2,537	2,293
70	1,696	2,284	1,202	2,371	2,494	2,214
69	1,642	2,203	1,159	2,226	2,386	2,040
68	1,590	2,161	1,081	2,127	2,309	1,930
67	1,542	2,140	1,004	2,016	2,222	1,808
66	1,507	2,091	975	1,912	2,137	1,699
65	1,429	2,002	900	1,828	2,067	1,615
64	1,330	1,887	809	1,716	1,973	1,499
63	1,248	1,765	754	1,612	1,883	1,395
62	1,177	1,655	711	1,516	1,794	1,300
61	1,106	1,569	648	1,405	1,687	1,188
60	1,028	1,481	582	1,338	1,616	1,125
59	942	1,363	535	1,239	1,510	1,025
58	857	1,218	506	1,171	1,430	958
57	800	1,155	445	1,102	1,350	887
56	766	1,132	394	1,048	1,282	833
55	742	1,077	398	996	1,219	778
54	702	1,001	394	949	1,157	731
53	639	928	338	900	1,096	684
52	596	853	327	855	1,040	645
51	560	787	324	798	975	592
50	518	741	280.7	759	929	563
49	493	708	260	702	865	517
48	475	674	256.5	655	813	482
47	448	630	244.5	609	762	446
46	417	589	222.4	568	716	416
45	391	555	199.3	533	677	392
44	361	507	192	496	634	365
43	336	467	183.2	465	598	343
42	320	461	155.8	438	566	324
41	301	446	132.1	408	530	299.9
40	275.1	398	130.8	388	506	285.2
39	271.3	396	125	363	474	265.1
38	262.3	387	115.9	343	449	249.3
37	224.5	322	110.3	322	423	232
36	201.3	287.8	100.8	304	399	218.8
35	194	281.1	93.1	288.1	378	205.9
34	186.8	269.6	92.7	271.5	356	192.6
33	172.2	250.4	84.7	257	337	181.7
32	148.5	225.2	62.9	244.2	320	171.7
31	130.3	194.6	59.1	230.4	302	160.6
30	123.6	182.3	59.6	222	290.7	154.7
29	123.7	194.9	46.9	210.9	276.4	146.2
28	109.5	173.6	40.2	201.9	265	139.1
27	90.6	138.4	39.5	193.4	254.5	132.5
26	82.1	123.9	38.2	185.6	245.1	126.3
25	77	118.5	33.7	178.7	237.2	120.4
24	67.9	107	27.3	172.2	229	115.6
23	64.5	99.2	28.2	165.6	221	110.5
22	62.3	92.2	31.2	158.7	211.8	105.8
21	56.7	82.6	30	151	201	101.2
20	56.2	83.3	28.3	143.1	189.1	97.4
19	62.7	94.3	30	133.8	175.4	92.3
18	50.7	70.8	29.8	123.3	160.2	86.6
17	34.2	43.8	24.1	108.6	137.6	79.6
16	30.9	45.9	15.2	94.9	117	72.7
15	29.1	40.8	16.8	82	98.8	65.2
14	25	28.9	20.8	71.7	85	58.4
13	19.1	21.8	16.4	64.5	75.3	53.7
12	14.3	18.6	9.7	60.4	70.1	50.6
11	12.2	15.7	8.41	59	68.1	49.8
10	10.5	10.8	10.2	59.7	68.2	51.1
9	10.3	9.11	11.5	62.8	71.3	54.1
8	12	13.2	10.7	68.3	77.3	59.2
7	11.3	12	10.7	76.3	85.7	66.7
6	9.63	8.66	10.7	85.9	95.4	76.4
5	9.42	9.23	9.62	100.2	110	90.4
4	11.3	12.2	10.4	126.8	139.2	114.2
3	13.8	14.4	13.1	168.3	184.6	151.7
2	13.2	14.4	11.8	237.5	258.9	215.8
1	25.4	24.3	26.4	379	404	353
0	291.9	305	278.5	2,759	3,129	2,385

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 78 in Malawi. The median age of death is 80.4 in Lithuania and 73.1 in Malawi, 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 Malawi more than their death rates.

Life expectancy in other countries

+ -

1x