Life Expectancy in Lithuania vs South Africa (1950-2026)

Life expectancy by current age

Chart Table

Lithuania

Male

Female

South Africa

Male

Female

1x

Current age, years	Total life expectancy, years
	Lithuania			South Africa
	Average	Male	Female	Average	Male	Female
100	102	101.8	102	103.4	103.1	103.5
99	101.1	100.9	101.1	102.5	102.3	102.6
98	100.2	100.1	100.2	101.7	101.5	101.7
97	99.3	99.2	99.3	100.8	100.7	100.9
96	98.5	98.4	98.5	100	99.9	100
95	97.7	97.6	97.7	99.2	99.1	99.2
94	96.9	96.7	96.9	98.4	98.3	98.4
93	96.1	95.9	96.1	97.6	97.5	97.7
92	95.4	95.2	95.4	96.9	96.7	96.9
91	94.6	94.4	94.7	96.1	96	96.2
90	94	93.7	94	95.4	95.2	95.5
89	93.3	93	93.4	94.7	94.4	94.8
88	92.6	92.3	92.7	94	93.7	94.1
87	92	91.6	92.1	93.3	92.9	93.4
86	91.4	90.9	91.6	92.6	92.2	92.7
85	90.8	90.3	91	91.9	91.5	92.1
84	90.3	89.7	90.5	91.3	90.8	91.5
83	89.8	89.1	90	90.6	90.1	90.9
82	89.3	88.5	89.6	90	89.4	90.3
81	88.8	88	89.2	89.4	88.7	89.7
80	88.4	87.4	88.8	88.8	88	89.1
79	88	86.9	88.4	88.1	87.4	88.5
78	87.5	86.4	88.1	87.5	86.7	88
77	87.1	85.8	87.8	86.9	86	87.4
76	86.8	85.3	87.5	86.3	85.3	86.9
75	86.4	84.8	87.2	85.7	84.7	86.4
74	86	84.3	86.9	85.2	84	85.9
73	85.6	83.8	86.6	84.6	83.4	85.4
72	85.3	83.3	86.4	84.1	82.8	84.9
71	84.9	82.9	86.1	83.6	82.2	84.5
70	84.6	82.4	85.9	83.1	81.7	84.1
69	84.2	81.9	85.7	82.6	81.1	83.6
68	83.9	81.5	85.5	82.1	80.5	83.2
67	83.6	81	85.3	81.6	80	82.8
66	83.3	80.6	85.1	81.2	79.4	82.4
65	82.9	80.2	84.9	80.7	78.9	82.1
64	82.6	79.8	84.7	80.3	78.4	81.7
63	82.3	79.4	84.5	79.9	77.9	81.4
62	82.1	79	84.3	79.4	77.4	81
61	81.8	78.7	84.2	79	76.9	80.7
60	81.5	78.3	84	78.7	76.5	80.4
59	81.3	78	83.9	78.3	76	80.1
58	81.1	77.7	83.7	77.9	75.6	79.8
57	80.9	77.4	83.6	77.5	75.2	79.5
56	80.7	77.2	83.5	77.2	74.8	79.2
55	80.4	76.9	83.4	76.9	74.4	78.9
54	80.2	76.6	83.3	76.5	74	78.7
53	80.1	76.4	83.2	76.2	73.6	78.4
52	79.9	76.2	83.1	75.9	73.3	78.2
51	79.7	75.9	82.9	75.6	72.9	77.9
50	79.5	75.7	82.9	75.3	72.6	77.7
49	79.4	75.5	82.8	75	72.2	77.4
48	79.2	75.3	82.7	74.7	71.9	77.2
47	79.1	75.1	82.6	74.4	71.6	77
46	78.9	74.9	82.5	74.2	71.3	76.7
45	78.8	74.8	82.4	73.9	71	76.5
44	78.7	74.6	82.3	73.6	70.7	76.3
43	78.5	74.4	82.3	73.4	70.4	76.1
42	78.4	74.3	82.2	73.1	70.2	75.8
41	78.3	74.1	82.2	72.9	69.9	75.6
40	78.2	74	82.1	72.6	69.7	75.4
39	78.1	73.9	82	72.4	69.4	75.2
38	78	73.7	82	72.2	69.2	75
37	77.9	73.6	81.9	72	68.9	74.8
36	77.8	73.5	81.9	71.8	68.7	74.6
35	77.7	73.4	81.9	71.6	68.5	74.5
34	77.6	73.3	81.8	71.4	68.3	74.3
33	77.6	73.2	81.8	71.2	68.1	74.1
32	77.5	73.1	81.7	71	67.9	73.9
31	77.4	73	81.7	70.8	67.7	73.8
30	77.4	72.9	81.7	70.6	67.5	73.6
29	77.3	72.8	81.7	70.4	67.3	73.5
28	77.3	72.7	81.6	70.3	67.1	73.3
27	77.2	72.7	81.6	70.1	66.9	73.2
26	77.2	72.6	81.6	70	66.8	73.1
25	77.1	72.6	81.6	69.9	66.6	73
24	77.1	72.5	81.6	69.7	66.5	72.9
23	77.1	72.5	81.5	69.6	66.3	72.8
22	77	72.4	81.5	69.5	66.2	72.7
21	77	72.4	81.5	69.4	66.1	72.6
20	77	72.3	81.5	69.3	66	72.6
19	76.9	72.3	81.5	69.2	65.9	72.5
18	76.9	72.2	81.4	69.2	65.8	72.4
17	76.9	72.2	81.4	69.1	65.7	72.4
16	76.9	72.2	81.4	69	65.7	72.3
15	76.8	72.2	81.4	69	65.6	72.3
14	76.8	72.2	81.4	68.9	65.6	72.3
13	76.8	72.1	81.4	68.9	65.5	72.2
12	76.8	72.1	81.4	68.9	65.5	72.2
11	76.8	72.1	81.4	68.9	65.5	72.2
10	76.8	72.1	81.4	68.8	65.4	72.2
9	76.8	72.1	81.4	68.8	65.4	72.1
8	76.8	72.1	81.3	68.8	65.4	72.1
7	76.8	72.1	81.3	68.8	65.4	72.1
6	76.8	72.1	81.3	68.7	65.3	72.1
5	76.8	72.1	81.3	68.7	65.3	72
4	76.7	72.1	81.3	68.6	65.2	72
3	76.7	72.1	81.3	68.5	65.1	71.9
2	76.7	72	81.3	68.4	64.9	71.8
1	76.7	72	81.3	68.1	64.7	71.5
0	76.5	71.8	81.1	66.7	63.1	70.2

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 70.6 in South Africa, rising to 82.9 and 80.7 at 65, and to 88.4 and 88.8 at 80 — higher than the 76.5 and 66.7 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Lithuania

Male

Female

South Africa

Male

Female

1x

Age	Survival probability
	Lithuania			South Africa
	Average	Male	Female	Average	Male	Female
100	0.83%	0.39%	1.21%	1.63%	1%	2.22%
99	1.32%	0.62%	1.92%	2.11%	1.28%	2.88%
98	2.01%	0.95%	2.92%	2.68%	1.62%	3.67%
97	2.95%	1.42%	4.28%	3.36%	2.02%	4.59%
96	4.19%	2.04%	6.06%	4.15%	2.5%	5.67%
95	5.75%	2.85%	8.27%	5.06%	3.06%	6.91%
94	7.68%	3.93%	11%	6.09%	3.7%	8.3%
93	10%	5.28%	14.2%	7.24%	4.43%	9.84%
92	12.6%	6.79%	17.7%	8.49%	5.25%	11.5%
91	15.4%	8.41%	21.6%	9.86%	6.16%	13.3%
90	18.6%	10.4%	25.8%	11.3%	7.18%	15.2%
89	21.9%	12.6%	30.1%	12.9%	8.29%	17.3%
88	25.3%	14.8%	34.6%	14.6%	9.51%	19.4%
87	28.8%	17.3%	39.2%	16.4%	10.8%	21.7%
86	32.4%	19.9%	43.6%	18.2%	12.2%	24%
85	35.8%	22.5%	47.9%	20.1%	13.7%	26.3%
84	39.2%	25.1%	51.9%	22.1%	15.2%	28.6%
83	42.4%	27.8%	55.7%	24%	16.8%	31%
82	45.4%	30.5%	59.1%	26%	18.5%	33.4%
81	48.3%	33.2%	62.3%	28.1%	20.2%	35.8%
80	51.1%	35.8%	65.3%	30.2%	22%	38.2%
79	53.6%	38.4%	67.9%	32.3%	23.9%	40.6%
78	56%	40.9%	70.3%	34.6%	25.9%	43%
77	58.3%	43.5%	72.5%	36.8%	28%	45.4%
76	60.6%	46.1%	74.5%	39%	30.1%	47.7%
75	62.7%	48.6%	76.3%	41.2%	32.3%	50%
74	64.7%	51.1%	78.1%	43.4%	34.4%	52.1%
73	66.7%	53.5%	79.6%	45.5%	36.6%	54.2%
72	68.6%	55.9%	81.1%	47.5%	38.7%	56.2%
71	70.4%	58.2%	82.4%	49.6%	40.8%	58.2%
70	72.1%	60.5%	83.6%	51.6%	42.9%	60%
69	73.7%	62.7%	84.8%	53.5%	45.1%	61.9%
68	75.3%	64.9%	85.9%	55.5%	47.2%	63.6%
67	76.8%	67%	86.9%	57.3%	49.3%	65.3%
66	78.3%	69.1%	87.9%	59.2%	51.4%	66.8%
65	79.8%	71.1%	88.8%	60.9%	53.4%	68.3%
64	81.1%	73%	89.6%	62.6%	55.4%	69.8%
63	82.3%	74.8%	90.3%	64.2%	57.3%	71.1%
62	83.5%	76.4%	91%	65.7%	59.1%	72.4%
61	84.6%	78%	91.7%	67.2%	60.9%	73.6%
60	85.7%	79.5%	92.3%	68.7%	62.6%	74.7%
59	86.6%	80.8%	92.8%	70%	64.3%	75.9%
58	87.5%	82.1%	93.3%	71.4%	65.9%	76.9%
57	88.3%	83.2%	93.7%	72.7%	67.5%	78%
56	89%	84.4%	94.1%	73.9%	69%	78.9%
55	89.8%	85.4%	94.5%	75.1%	70.5%	79.9%
54	90.5%	86.4%	94.9%	76.2%	71.9%	80.7%
53	91.1%	87.4%	95.3%	77.3%	73.2%	81.6%
52	91.7%	88.2%	95.6%	78.4%	74.5%	82.4%
51	92.3%	89%	95.9%	79.4%	75.7%	83.1%
50	92.8%	89.7%	96.2%	80.3%	76.9%	83.9%
49	93.3%	90.4%	96.5%	81.2%	78%	84.6%
48	93.7%	91.1%	96.7%	82.1%	79.1%	85.3%
47	94.2%	91.8%	97%	83%	80.1%	85.9%
46	94.6%	92.3%	97.2%	83.8%	81.1%	86.6%
45	95%	92.9%	97.4%	84.6%	82%	87.2%
44	95.4%	93.4%	97.6%	85.3%	82.9%	87.8%
43	95.7%	93.9%	97.8%	86%	83.7%	88.4%
42	96%	94.3%	97.9%	86.7%	84.5%	89%
41	96.3%	94.8%	98%	87.4%	85.3%	89.6%
40	96.6%	95.2%	98.2%	88.1%	86%	90.1%
39	96.9%	95.6%	98.3%	88.7%	86.7%	90.6%
38	97.1%	96%	98.4%	89.2%	87.4%	91.1%
37	97.4%	96.3%	98.5%	89.8%	88.1%	91.6%
36	97.6%	96.6%	98.6%	90.4%	88.7%	92%
35	97.8%	96.9%	98.7%	90.9%	89.3%	92.5%
34	97.9%	97.1%	98.8%	91.4%	89.9%	92.9%
33	98.1%	97.4%	98.9%	91.8%	90.4%	93.3%
32	98.3%	97.6%	99%	92.3%	91%	93.6%
31	98.4%	97.8%	99%	92.7%	91.5%	94%
30	98.5%	98%	99.1%	93.1%	91.9%	94.3%
29	98.6%	98.2%	99.1%	93.5%	92.4%	94.6%
28	98.7%	98.3%	99.2%	93.9%	92.8%	94.9%
27	98.8%	98.5%	99.2%	94.2%	93.2%	95.2%
26	98.9%	98.6%	99.2%	94.5%	93.6%	95.4%
25	99%	98.7%	99.3%	94.8%	94%	95.7%
24	99.1%	98.8%	99.3%	95.1%	94.3%	95.9%
23	99.1%	98.9%	99.3%	95.3%	94.6%	96%
22	99.2%	99%	99.4%	95.5%	94.9%	96.2%
21	99.2%	99.1%	99.4%	95.7%	95.1%	96.3%
20	99.3%	99.2%	99.4%	95.9%	95.4%	96.5%
19	99.4%	99.3%	99.5%	96.1%	95.6%	96.6%
18	99.4%	99.4%	99.5%	96.2%	95.7%	96.7%
17	99.5%	99.4%	99.5%	96.3%	95.9%	96.8%
16	99.5%	99.4%	99.5%	96.4%	96%	96.9%
15	99.5%	99.5%	99.5%	96.5%	96.1%	97%
14	99.5%	99.5%	99.6%	96.6%	96.2%	97%
13	99.6%	99.5%	99.6%	96.6%	96.2%	97.1%
12	99.6%	99.6%	99.6%	96.7%	96.3%	97.1%
11	99.6%	99.6%	99.6%	96.7%	96.3%	97.1%
10	99.6%	99.6%	99.6%	96.8%	96.4%	97.2%
9	99.6%	99.6%	99.6%	96.8%	96.4%	97.2%
8	99.6%	99.6%	99.6%	96.8%	96.5%	97.2%
7	99.6%	99.6%	99.6%	96.9%	96.5%	97.3%
6	99.6%	99.6%	99.7%	96.9%	96.6%	97.3%
5	99.6%	99.6%	99.7%	97%	96.7%	97.4%
4	99.7%	99.6%	99.7%	97.1%	96.8%	97.4%
3	99.7%	99.7%	99.7%	97.2%	96.9%	97.6%
2	99.7%	99.7%	99.7%	97.5%	97.2%	97.8%
1	99.7%	99.7%	99.7%	97.8%	97.6%	98.1%

This chart shows the odds of living to each age from birth. 85.7% of newborns in Lithuania and 68.7% in South Africa are expected to live past 60, 72.1% and 51.6% past 70, 51.1% and 30.2% past 80, and only 18.6% and 11.3% 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

South Africa

Male

Female

1x

Age	Probability of dying
	Lithuania			South Africa
	Average	Male	Female	Average	Male	Female
100	39.3%	39.3%	39.3%	23.6%	22.9%	23.9%
99	36.9%	37.2%	36.8%	22.5%	22%	22.8%
98	34.4%	35%	34.3%	21.3%	21%	21.5%
97	32%	32.8%	31.8%	20.2%	20%	20.2%
96	29.6%	30.6%	29.3%	19%	19.1%	19%
95	27.1%	28.5%	26.8%	18%	18.2%	17.9%
94	25.2%	27.3%	24.6%	16.9%	17.3%	16.8%
93	23.2%	25.7%	22.5%	15.9%	16.5%	15.6%
92	20.7%	22.1%	20.2%	14.8%	15.6%	14.5%
91	18.3%	19.3%	18%	13.8%	14.8%	13.5%
90	16.8%	19.1%	16.1%	13%	14.1%	12.6%
89	15.2%	17.3%	14.5%	12.3%	13.5%	11.8%
88	13.5%	15.1%	13%	11.5%	12.8%	11.1%
87	12.3%	14.4%	11.6%	10.8%	12.1%	10.3%
86	11%	13.1%	10.2%	10.1%	11.4%	9.6%
85	9.6%	11.4%	8.93%	9.43%	10.7%	8.88%
84	8.47%	10.4%	7.75%	8.78%	10%	8.21%
83	7.54%	9.67%	6.7%	8.21%	9.46%	7.62%
82	6.69%	8.81%	5.82%	7.71%	8.97%	7.1%
81	6.01%	8.11%	5.12%	7.3%	8.57%	6.66%
80	5.41%	7.44%	4.51%	6.96%	8.26%	6.28%
79	4.77%	6.65%	3.91%	6.67%	8%	5.94%
78	4.3%	6.23%	3.39%	6.37%	7.73%	5.61%
77	3.98%	6%	2.98%	6.06%	7.42%	5.26%
76	3.69%	5.61%	2.7%	5.71%	7.05%	4.89%
75	3.4%	5.16%	2.45%	5.35%	6.64%	4.53%
74	3.14%	4.82%	2.19%	4.98%	6.22%	4.17%
73	2.93%	4.53%	1.99%	4.64%	5.83%	3.85%
72	2.74%	4.26%	1.82%	4.34%	5.49%	3.57%
71	2.54%	4.02%	1.6%	4.09%	5.2%	3.33%
70	2.35%	3.77%	1.44%	3.87%	4.95%	3.12%
69	2.23%	3.51%	1.37%	3.67%	4.72%	2.92%
68	2.11%	3.33%	1.26%	3.48%	4.5%	2.74%
67	2.01%	3.19%	1.16%	3.28%	4.28%	2.55%
66	1.92%	3.03%	1.11%	3.08%	4.04%	2.37%
65	1.79%	2.81%	1.01%	2.88%	3.79%	2.19%
64	1.64%	2.58%	0.9%	2.68%	3.55%	2.03%
63	1.52%	2.36%	0.83%	2.5%	3.32%	1.88%
62	1.41%	2.17%	0.78%	2.34%	3.11%	1.75%
61	1.31%	2.01%	0.71%	2.2%	2.93%	1.65%
60	1.2%	1.86%	0.63%	2.08%	2.76%	1.55%
59	1.09%	1.69%	0.58%	1.98%	2.61%	1.47%
58	0.98%	1.48%	0.54%	1.88%	2.47%	1.39%
57	0.91%	1.39%	0.47%	1.78%	2.33%	1.32%
56	0.86%	1.34%	0.42%	1.68%	2.2%	1.24%
55	0.83%	1.26%	0.42%	1.58%	2.07%	1.16%
54	0.78%	1.16%	0.42%	1.49%	1.94%	1.09%
53	0.7%	1.06%	0.36%	1.4%	1.83%	1.02%
52	0.65%	0.97%	0.34%	1.32%	1.72%	0.96%
51	0.61%	0.88%	0.34%	1.25%	1.62%	0.91%
50	0.56%	0.83%	0.29%	1.19%	1.52%	0.87%
49	0.53%	0.78%	0.27%	1.13%	1.44%	0.84%
48	0.51%	0.74%	0.27%	1.08%	1.35%	0.8%
47	0.48%	0.69%	0.25%	1.03%	1.28%	0.78%
46	0.44%	0.64%	0.23%	0.98%	1.2%	0.75%
45	0.41%	0.6%	0.2%	0.93%	1.13%	0.73%
44	0.38%	0.54%	0.2%	0.88%	1.07%	0.7%
43	0.35%	0.5%	0.19%	0.84%	1.01%	0.68%
42	0.33%	0.49%	0.16%	0.8%	0.95%	0.65%
41	0.31%	0.47%	0.13%	0.76%	0.9%	0.63%
40	0.28%	0.42%	0.13%	0.73%	0.86%	0.6%
39	0.28%	0.41%	0.13%	0.69%	0.82%	0.57%
38	0.27%	0.4%	0.12%	0.66%	0.78%	0.54%
37	0.23%	0.33%	0.11%	0.63%	0.74%	0.51%
36	0.21%	0.3%	0.1%	0.6%	0.71%	0.49%
35	0.2%	0.29%	0.09%	0.57%	0.67%	0.46%
34	0.19%	0.28%	0.09%	0.54%	0.64%	0.44%
33	0.18%	0.26%	0.09%	0.51%	0.61%	0.42%
32	0.15%	0.23%	0.06%	0.49%	0.58%	0.4%
31	0.13%	0.2%	0.06%	0.46%	0.55%	0.38%
30	0.13%	0.19%	0.06%	0.44%	0.52%	0.36%
29	0.13%	0.2%	0.05%	0.41%	0.5%	0.33%
28	0.11%	0.18%	0.04%	0.39%	0.47%	0.31%
27	0.09%	0.14%	0.04%	0.36%	0.44%	0.28%
26	0.08%	0.13%	0.04%	0.33%	0.41%	0.25%
25	0.08%	0.12%	0.03%	0.3%	0.38%	0.23%
24	0.07%	0.11%	0.03%	0.28%	0.35%	0.2%
23	0.07%	0.1%	0.03%	0.25%	0.32%	0.18%
22	0.06%	0.09%	0.03%	0.23%	0.29%	0.17%
21	0.06%	0.08%	0.03%	0.21%	0.26%	0.15%
20	0.06%	0.08%	0.03%	0.19%	0.23%	0.14%
19	0.06%	0.09%	0.03%	0.16%	0.2%	0.13%
18	0.05%	0.07%	0.03%	0.14%	0.18%	0.11%
17	0.03%	0.04%	0.02%	0.12%	0.15%	0.1%
16	0.03%	0.05%	0.02%	0.11%	0.12%	0.09%
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%	0.06%	0.07%	0.05%
12	0.01%	0.02%	0.01%	0.05%	0.06%	0.04%
11	0.01%	0.02%	0.008%	0.04%	0.05%	0.04%
10	0.01%	0.01%	0.01%	0.04%	0.05%	0.03%
9	0.01%	0.009%	0.01%	0.04%	0.05%	0.03%
8	0.01%	0.01%	0.01%	0.04%	0.05%	0.03%
7	0.01%	0.01%	0.01%	0.04%	0.05%	0.04%
6	0.01%	0.009%	0.01%	0.05%	0.06%	0.04%
5	0.009%	0.009%	0.01%	0.07%	0.08%	0.06%
4	0.01%	0.01%	0.01%	0.1%	0.11%	0.08%
3	0.01%	0.01%	0.01%	0.15%	0.17%	0.12%
2	0.01%	0.01%	0.01%	0.22%	0.25%	0.2%
1	0.03%	0.02%	0.03%	0.35%	0.38%	0.32%
0	0.29%	0.3%	0.28%	2.19%	2.44%	1.93%

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

The annual chance of dying is 0.29% in the birth year in Lithuania and 2.19% in South Africa, 0.13% vs 0.44% at age 30, 1.2% vs 2.08% at 60, and 5.41% vs 6.96% at 80.

Death rate by age in Lithuania vs South Africa

Chart Table

Lithuania

Male

Female

South Africa

Male

Female

1x

Age	Death rate
	Lithuania			South Africa
	Total	Male	Female	Total	Male	Female
100	174.6	56.5	274.1	359	204.6	501
99	485	230.3	706	475	280.8	655
98	690	333	1,000	572	340	787
97	945	465	1,362	677	406	928
96	1,240	624	1,777	789	478	1,077
95	1,559	812	2,213	909	558	1,236
94	1,933	1,074	2,695	1,031	642	1,393
93	2,322	1,356	3,186	1,148	729	1,540
92	2,605	1,503	3,588	1,257	818	1,670
91	2,822	1,627	3,887	1,363	912	1,794
90	3,119	1,989	4,148	1,476	1,014	1,924
89	3,315	2,179	4,361	1,585	1,118	2,045
88	3,420	2,242	4,500	1,686	1,220	2,150
87	3,556	2,501	4,539	1,775	1,315	2,238
86	3,561	2,606	4,462	1,845	1,397	2,299
85	3,442	2,562	4,282	1,897	1,467	2,335
84	3,319	2,605	4,028	1,937	1,530	2,353
83	3,194	2,688	3,733	1,972	1,591	2,363
82	3,036	2,683	3,441	2,008	1,656	2,371
81	2,903	2,691	3,191	2,052	1,732	2,383
80	2,761	2,665	2,945	2,102	1,819	2,399
79	2,559	2,550	2,657	2,156	1,914	2,411
78	2,410	2,551	2,381	2,202	2,006	2,410
77	2,321	2,611	2,161	2,228	2,080	2,386
76	2,234	2,586	2,009	2,228	2,126	2,335
75	2,134	2,512	1,873	2,204	2,144	2,262
74	2,030	2,466	1,712	2,161	2,141	2,176
73	1,953	2,423	1,589	2,112	2,132	2,089
72	1,881	2,380	1,473	2,066	2,123	2,008
71	1,785	2,341	1,322	2,028	2,121	1,936
70	1,696	2,284	1,202	1,997	2,124	1,871
69	1,642	2,203	1,159	1,966	2,128	1,807
68	1,590	2,161	1,081	1,929	2,124	1,740
67	1,542	2,140	1,004	1,882	2,108	1,667
66	1,507	2,091	975	1,822	2,074	1,585
65	1,429	2,002	900	1,752	2,025	1,500
64	1,330	1,887	809	1,679	1,965	1,415
63	1,248	1,765	754	1,606	1,901	1,337
62	1,177	1,655	711	1,540	1,839	1,269
61	1,106	1,569	648	1,482	1,782	1,211
60	1,028	1,481	582	1,431	1,730	1,162
59	942	1,363	535	1,384	1,679	1,116
58	857	1,218	506	1,339	1,629	1,072
57	800	1,155	445	1,292	1,575	1,026
56	766	1,132	394	1,242	1,519	978
55	742	1,077	398	1,190	1,459	929
54	702	1,001	394	1,137	1,397	881
53	639	928	338	1,085	1,337	835
52	596	853	327	1,037	1,279	795
51	560	787	324	994	1,223	760
50	518	741	280.7	954	1,171	731
49	493	708	260	918	1,120	707
48	475	674	256.5	883	1,071	686
47	448	630	244.5	850	1,022	668
46	417	589	222.4	818	974	652
45	391	555	199.3	786	928	635
44	361	507	192	755	884	619
43	336	467	183.2	724	842	601
42	320	461	155.8	695	804	581
41	301	446	132.1	667	770	560
40	275.1	398	130.8	639	738	538
39	271.3	396	125	613	708	515
38	262.3	387	115.9	587	680	492
37	224.5	322	110.3	562	653	470
36	201.3	287.8	100.8	538	626	449
35	194	281.1	93.1	515	600	429
34	186.8	269.6	92.7	493	575	410
33	172.2	250.4	84.7	471	551	392
32	148.5	225.2	62.9	450	527	374
31	130.3	194.6	59.1	429	504	355
30	123.6	182.3	59.6	408	481	335
29	123.7	194.9	46.9	386	458	314
28	109.5	173.6	40.2	363	434	291.3
27	90.6	138.4	39.5	339	410	266.7
26	82.1	123.9	38.2	314	384	241.5
25	77	118.5	33.7	289.1	358	217.1
24	67.9	107	27.3	264.7	331	195.1
23	64.5	99.2	28.2	241.4	304	176
22	62.3	92.2	31.2	219.2	276.6	159.6
21	56.7	82.6	30	198.1	249	145.6
20	56.2	83.3	28.3	177.8	221.4	133.1
19	62.7	94.3	30	158	194.2	121.2
18	50.7	70.8	29.8	138.5	167.7	108.8
17	34.2	43.8	24.1	119.5	142.6	96
16	30.9	45.9	15.2	101.4	119.6	82.9
15	29.1	40.8	16.8	85	99.4	70.2
14	25	28.9	20.8	70.7	82.4	58.8
13	19.1	21.8	16.4	58.9	68.7	49
12	14.3	18.6	9.7	49.7	58.1	41.1
11	12.2	15.7	8.41	43	50.5	35.3
10	10.5	10.8	10.2	38.7	45.8	31.6
9	10.3	9.11	11.5	37	43.9	30
8	12	13.2	10.7	37.9	45.2	30.6
7	11.3	12	10.7	42.2	50.2	34.1
6	9.63	8.66	10.7	51.2	60.6	41.7
5	9.42	9.23	9.62	67.2	79	55.4
4	11.3	12.2	10.4	95.3	110.3	80
3	13.8	14.4	13.1	141.9	161.3	121.7
2	13.2	14.4	11.8	218.6	243.8	192.5
1	25.4	24.3	26.4	343	375	310
0	291.9	305	278.5	2,192	2,441	1,934

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 77 in South Africa. The median age of death is 80.4 in Lithuania and 70.8 in South Africa, 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 South Africa more than their death rates.

Life expectancy in other countries

+ -

1x