Life Expectancy in Lithuania vs Zimbabwe (1950-2026)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in Lithuania vs Zimbabwe: 77.4 years vs 68.5 at 30, 82.9 vs 78.3 at 65, 88.4 vs 86.4 at 80 — significantly higher than the 76.5 vs 63.6 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Lithuania and Zimbabwe.

Table

Current age, years	Total life expectancy, years
	Lithuania			Zimbabwe
	Average	Male	Female	Average	Male	Female
0	76.5	71.8	81.1	63.6	61	65.9
1	76.7	72	81.3	65.6	63.2	67.7
2	76.7	72	81.3	66	63.5	68.1
3	76.7	72.1	81.3	66.2	63.6	68.3
4	76.7	72.1	81.3	66.3	63.8	68.4
5	76.8	72.1	81.3	66.4	63.9	68.5
6	76.8	72.1	81.3	66.5	64	68.6
7	76.8	72.1	81.3	66.5	64	68.7
8	76.8	72.1	81.3	66.6	64.1	68.7
9	76.8	72.1	81.4	66.6	64.1	68.8
10	76.8	72.1	81.4	66.7	64.2	68.8
11	76.8	72.1	81.4	66.7	64.2	68.8
12	76.8	72.1	81.4	66.8	64.2	68.9
13	76.8	72.1	81.4	66.8	64.3	68.9
14	76.8	72.2	81.4	66.8	64.3	69
15	76.8	72.2	81.4	66.9	64.4	69
16	76.9	72.2	81.4	67	64.4	69.1
17	76.9	72.2	81.4	67	64.5	69.1
18	76.9	72.2	81.4	67.1	64.6	69.2
19	76.9	72.3	81.5	67.2	64.7	69.3
20	77	72.3	81.5	67.3	64.8	69.3
21	77	72.4	81.5	67.4	64.9	69.4
22	77	72.4	81.5	67.5	65	69.5
23	77.1	72.5	81.5	67.6	65.1	69.6
24	77.1	72.5	81.6	67.7	65.3	69.7
25	77.1	72.6	81.6	67.8	65.4	69.8
26	77.2	72.6	81.6	68	65.5	70
27	77.2	72.7	81.6	68.1	65.7	70.1
28	77.3	72.7	81.6	68.2	65.8	70.2
29	77.3	72.8	81.7	68.4	66	70.4
30	77.4	72.9	81.7	68.5	66.2	70.5
31	77.4	73	81.7	68.7	66.3	70.6
32	77.5	73.1	81.7	68.9	66.5	70.8
33	77.6	73.2	81.8	69	66.7	71
34	77.6	73.3	81.8	69.2	66.9	71.1
35	77.7	73.4	81.9	69.4	67.1	71.3
36	77.8	73.5	81.9	69.6	67.3	71.5
37	77.9	73.6	81.9	69.8	67.5	71.7
38	78	73.7	82	70	67.8	71.9
39	78.1	73.9	82	70.2	68	72
40	78.2	74	82.1	70.5	68.2	72.2
41	78.3	74.1	82.2	70.7	68.5	72.5
42	78.4	74.3	82.2	70.9	68.7	72.7
43	78.5	74.4	82.3	71.2	69	72.9
44	78.7	74.6	82.3	71.4	69.3	73.1
45	78.8	74.8	82.4	71.7	69.6	73.3
46	78.9	74.9	82.5	71.9	69.9	73.6
47	79.1	75.1	82.6	72.2	70.2	73.8
48	79.2	75.3	82.7	72.5	70.5	74
49	79.4	75.5	82.8	72.7	70.8	74.3
50	79.5	75.7	82.9	73	71.1	74.6
51	79.7	75.9	82.9	73.3	71.4	74.8
52	79.9	76.2	83.1	73.6	71.8	75.1
53	80.1	76.4	83.2	73.9	72.1	75.4
54	80.2	76.6	83.3	74.2	72.5	75.7
55	80.4	76.9	83.4	74.6	72.8	76
56	80.7	77.2	83.5	74.9	73.2	76.3
57	80.9	77.4	83.6	75.2	73.6	76.6
58	81.1	77.7	83.7	75.6	74	76.9
59	81.3	78	83.9	75.9	74.4	77.2
60	81.5	78.3	84	76.3	74.8	77.5
61	81.8	78.7	84.2	76.7	75.2	77.9
62	82.1	79	84.3	77.1	75.6	78.2
63	82.3	79.4	84.5	77.5	76.1	78.6
64	82.6	79.8	84.7	77.9	76.5	79
65	82.9	80.2	84.9	78.3	77	79.4
66	83.3	80.6	85.1	78.8	77.5	79.8
67	83.6	81	85.3	79.2	77.9	80.2
68	83.9	81.5	85.5	79.7	78.4	80.7
69	84.2	81.9	85.7	80.2	79	81.1
70	84.6	82.4	85.9	80.7	79.5	81.6
71	84.9	82.9	86.1	81.2	80	82.1
72	85.3	83.3	86.4	81.7	80.6	82.5
73	85.6	83.8	86.6	82.2	81.2	83
74	86	84.3	86.9	82.8	81.7	83.5
75	86.4	84.8	87.2	83.4	82.3	84.1
76	86.8	85.3	87.5	83.9	83	84.6
77	87.1	85.8	87.8	84.5	83.6	85.2
78	87.5	86.4	88.1	85.1	84.2	85.7
79	88	86.9	88.4	85.8	84.9	86.3
80	88.4	87.4	88.8	86.4	85.6	86.9
81	88.8	88	89.2	87	86.3	87.5
82	89.3	88.5	89.6	87.7	87	88.1
83	89.8	89.1	90	88.4	87.7	88.7
84	90.3	89.7	90.5	89	88.4	89.4
85	90.8	90.3	91	89.8	89.2	90.1
86	91.4	90.9	91.6	90.5	90	90.8
87	92	91.6	92.1	91.2	90.8	91.5
88	92.6	92.3	92.7	92	91.6	92.2
89	93.3	93	93.4	92.8	92.4	93
90	94	93.7	94	93.6	93.2	93.8
91	94.6	94.4	94.7	94.4	94	94.5
92	95.4	95.2	95.4	95.2	94.9	95.3
93	96.1	95.9	96.1	96	95.7	96.1
94	96.9	96.7	96.9	96.9	96.6	97
95	97.7	97.6	97.7	97.7	97.5	97.8
96	98.5	98.4	98.5	98.6	98.4	98.7
97	99.3	99.2	99.3	99.5	99.2	99.5
98	100.2	100.1	100.2	100.4	100.1	100.4
99	101.1	100.9	101.1	101.2	101	101.3
100	102	101.8	102	102.2	101.9	102.2

Odds of living to age in Lithuania vs Zimbabwe

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 85.7% in Lithuania and 66.2% in Zimbabwe are expected to survive till at least 60 years old, 72.1% and 47.3% will live to 70 years or older, 51.1% and 23.5% to 80+ years, and 18.6% and 4.99% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

Age	Survival probability
	Lithuania			Zimbabwe
	Average	Male	Female	Average	Male	Female
1	99.7%	99.7%	99.7%	96.9%	96.6%	97.3%
2	99.7%	99.7%	99.7%	96.5%	96.1%	96.8%
3	99.7%	99.7%	99.7%	96.2%	95.8%	96.5%
4	99.7%	99.6%	99.7%	95.9%	95.6%	96.3%
5	99.6%	99.6%	99.7%	95.8%	95.5%	96.1%
6	99.6%	99.6%	99.7%	95.7%	95.3%	96%
7	99.6%	99.6%	99.6%	95.6%	95.2%	95.9%
8	99.6%	99.6%	99.6%	95.5%	95.1%	95.8%
9	99.6%	99.6%	99.6%	95.4%	95.1%	95.8%
10	99.6%	99.6%	99.6%	95.3%	95%	95.7%
11	99.6%	99.6%	99.6%	95.3%	94.9%	95.6%
12	99.6%	99.6%	99.6%	95.2%	94.8%	95.6%
13	99.6%	99.5%	99.6%	95.1%	94.8%	95.5%
14	99.5%	99.5%	99.6%	95%	94.7%	95.4%
15	99.5%	99.5%	99.5%	94.9%	94.6%	95.3%
16	99.5%	99.4%	99.5%	94.8%	94.5%	95.2%
17	99.5%	99.4%	99.5%	94.7%	94.3%	95.1%
18	99.4%	99.4%	99.5%	94.6%	94.2%	95%
19	99.4%	99.3%	99.5%	94.4%	94%	94.9%
20	99.3%	99.2%	99.4%	94.2%	93.8%	94.7%
21	99.2%	99.1%	99.4%	94%	93.5%	94.5%
22	99.2%	99%	99.4%	93.8%	93.3%	94.4%
23	99.1%	98.9%	99.3%	93.6%	93%	94.2%
24	99.1%	98.8%	99.3%	93.3%	92.7%	93.9%
25	99%	98.7%	99.3%	93.1%	92.4%	93.7%
26	98.9%	98.6%	99.2%	92.8%	92.1%	93.5%
27	98.8%	98.5%	99.2%	92.5%	91.7%	93.2%
28	98.7%	98.3%	99.2%	92.1%	91.4%	92.9%
29	98.6%	98.2%	99.1%	91.8%	91%	92.6%
30	98.5%	98%	99.1%	91.4%	90.6%	92.3%
31	98.4%	97.8%	99%	91.1%	90.1%	91.9%
32	98.3%	97.6%	99%	90.7%	89.7%	91.6%
33	98.1%	97.4%	98.9%	90.2%	89.2%	91.2%
34	97.9%	97.1%	98.8%	89.8%	88.7%	90.8%
35	97.8%	96.9%	98.7%	89.3%	88.1%	90.4%
36	97.6%	96.6%	98.6%	88.8%	87.5%	89.9%
37	97.4%	96.3%	98.5%	88.2%	86.9%	89.5%
38	97.1%	96%	98.4%	87.7%	86.3%	89%
39	96.9%	95.6%	98.3%	87.1%	85.6%	88.4%
40	96.6%	95.2%	98.2%	86.4%	84.9%	87.9%
41	96.3%	94.8%	98%	85.8%	84.1%	87.3%
42	96%	94.3%	97.9%	85.1%	83.3%	86.7%
43	95.7%	93.9%	97.8%	84.4%	82.5%	86.1%
44	95.4%	93.4%	97.6%	83.6%	81.6%	85.5%
45	95%	92.9%	97.4%	82.9%	80.7%	84.8%
46	94.6%	92.3%	97.2%	82%	79.7%	84.1%
47	94.2%	91.8%	97%	81.2%	78.7%	83.4%
48	93.7%	91.1%	96.7%	80.3%	77.7%	82.6%
49	93.3%	90.4%	96.5%	79.4%	76.6%	81.8%
50	92.8%	89.7%	96.2%	78.4%	75.4%	81%
51	92.3%	89%	95.9%	77.4%	74.2%	80.1%
52	91.7%	88.2%	95.6%	76.3%	73%	79.1%
53	91.1%	87.4%	95.3%	75.2%	71.7%	78.2%
54	90.5%	86.4%	94.9%	74.1%	70.3%	77.2%
55	89.8%	85.4%	94.5%	72.9%	69%	76.1%
56	89%	84.4%	94.1%	71.7%	67.5%	75%
57	88.3%	83.2%	93.7%	70.4%	66%	73.9%
58	87.5%	82.1%	93.3%	69.1%	64.5%	72.7%
59	86.6%	80.8%	92.8%	67.6%	62.9%	71.4%
60	85.7%	79.5%	92.3%	66.2%	61.2%	70.1%
61	84.6%	78%	91.7%	64.6%	59.5%	68.7%
62	83.5%	76.4%	91%	63%	57.7%	67.2%
63	82.3%	74.8%	90.3%	61.2%	55.8%	65.7%
64	81.1%	73%	89.6%	59.5%	53.8%	64%
65	79.8%	71.1%	88.8%	57.6%	51.8%	62.3%
66	78.3%	69.1%	87.9%	55.6%	49.7%	60.5%
67	76.8%	67%	86.9%	53.6%	47.6%	58.6%
68	75.3%	64.9%	85.9%	51.6%	45.4%	56.7%
69	73.7%	62.7%	84.8%	49.5%	43.2%	54.7%
70	72.1%	60.5%	83.6%	47.3%	40.9%	52.6%
71	70.4%	58.2%	82.4%	45.1%	38.6%	50.4%
72	68.6%	55.9%	81.1%	42.8%	36.3%	48.2%
73	66.7%	53.5%	79.6%	40.4%	33.9%	45.9%
74	64.7%	51.1%	78.1%	38%	31.4%	43.6%
75	62.7%	48.6%	76.3%	35.6%	29%	41.2%
76	60.6%	46.1%	74.5%	33.2%	26.6%	38.7%
77	58.3%	43.5%	72.5%	30.7%	24.3%	36.3%
78	56%	40.9%	70.3%	28.3%	21.9%	33.8%
79	53.6%	38.4%	67.9%	25.9%	19.7%	31.3%
80	51.1%	35.8%	65.3%	23.5%	17.5%	28.8%
81	48.3%	33.2%	62.3%	21.2%	15.4%	26.4%
82	45.4%	30.5%	59.1%	19%	13.4%	24%
83	42.4%	27.8%	55.7%	16.8%	11.5%	21.5%
84	39.2%	25.1%	51.9%	14.7%	9.78%	19.1%
85	35.8%	22.5%	47.9%	12.7%	8.2%	16.8%
86	32.4%	19.9%	43.6%	10.8%	6.78%	14.5%
87	28.8%	17.3%	39.2%	9.1%	5.53%	12.4%
88	25.3%	14.8%	34.6%	7.56%	4.44%	10.5%
89	21.9%	12.6%	30.1%	6.18%	3.51%	8.72%
90	18.6%	10.4%	25.8%	4.99%	2.73%	7.15%
91	15.4%	8.41%	21.6%	3.95%	2.09%	5.75%
92	12.6%	6.79%	17.7%	3.08%	1.57%	4.57%
93	10%	5.28%	14.2%	2.36%	1.15%	3.55%
94	7.68%	3.93%	11%	1.77%	0.83%	2.71%
95	5.75%	2.85%	8.27%	1.3%	0.59%	2.02%
96	4.19%	2.04%	6.06%	0.94%	0.4%	1.47%
97	2.95%	1.42%	4.28%	0.66%	0.27%	1.05%
98	2.01%	0.95%	2.92%	0.46%	0.18%	0.73%
99	1.32%	0.62%	1.92%	0.31%	0.12%	0.5%
100	0.83%	0.39%	1.21%	0.2%	0.07%	0.33%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 0.29% in the birth year in Lithuania and 3.05% in Zimbabwe, 0.13% vs 0.42% at age 30, 1.2% vs 2.37% at 60, and 5.41% vs 9.89% at 80.

Below is a graph displaying the probabilities of dying in Lithuania compared to Zimbabwe at any given age.

Table

Age	Probability of dying
	Lithuania			Zimbabwe
	Average	Male	Female	Average	Male	Female
0	0.29%	0.3%	0.28%	3.05%	3.4%	2.7%
1	0.03%	0.02%	0.03%	0.5%	0.48%	0.52%
2	0.01%	0.01%	0.01%	0.32%	0.32%	0.32%
3	0.01%	0.01%	0.01%	0.22%	0.22%	0.22%
4	0.01%	0.01%	0.01%	0.16%	0.17%	0.16%
5	0.009%	0.009%	0.01%	0.12%	0.13%	0.12%
6	0.01%	0.009%	0.01%	0.1%	0.11%	0.1%
7	0.01%	0.01%	0.01%	0.09%	0.1%	0.09%
8	0.01%	0.01%	0.01%	0.08%	0.09%	0.08%
9	0.01%	0.009%	0.01%	0.08%	0.08%	0.07%
10	0.01%	0.01%	0.01%	0.07%	0.08%	0.07%
11	0.01%	0.02%	0.008%	0.07%	0.08%	0.07%
12	0.01%	0.02%	0.01%	0.08%	0.08%	0.07%
13	0.02%	0.02%	0.02%	0.08%	0.09%	0.08%
14	0.03%	0.03%	0.02%	0.1%	0.1%	0.09%
15	0.03%	0.04%	0.02%	0.11%	0.12%	0.1%
16	0.03%	0.05%	0.02%	0.13%	0.14%	0.12%
17	0.03%	0.04%	0.02%	0.15%	0.17%	0.13%
18	0.05%	0.07%	0.03%	0.17%	0.2%	0.15%
19	0.06%	0.09%	0.03%	0.19%	0.22%	0.16%
20	0.06%	0.08%	0.03%	0.21%	0.25%	0.18%
21	0.06%	0.08%	0.03%	0.23%	0.27%	0.19%
22	0.06%	0.09%	0.03%	0.25%	0.29%	0.21%
23	0.07%	0.1%	0.03%	0.27%	0.31%	0.23%
24	0.07%	0.11%	0.03%	0.29%	0.33%	0.25%
25	0.08%	0.12%	0.03%	0.31%	0.35%	0.26%
26	0.08%	0.13%	0.04%	0.33%	0.37%	0.29%
27	0.09%	0.14%	0.04%	0.35%	0.4%	0.31%
28	0.11%	0.18%	0.04%	0.37%	0.42%	0.33%
29	0.13%	0.2%	0.05%	0.4%	0.45%	0.35%
30	0.13%	0.19%	0.06%	0.42%	0.48%	0.37%
31	0.13%	0.2%	0.06%	0.44%	0.51%	0.39%
32	0.15%	0.23%	0.06%	0.47%	0.54%	0.41%
33	0.18%	0.26%	0.09%	0.5%	0.58%	0.44%
34	0.19%	0.28%	0.09%	0.54%	0.62%	0.47%
35	0.2%	0.29%	0.09%	0.57%	0.66%	0.5%
36	0.21%	0.3%	0.1%	0.61%	0.71%	0.53%
37	0.23%	0.33%	0.11%	0.64%	0.75%	0.55%
38	0.27%	0.4%	0.12%	0.68%	0.8%	0.59%
39	0.28%	0.41%	0.13%	0.72%	0.85%	0.62%
40	0.28%	0.42%	0.13%	0.76%	0.9%	0.65%
41	0.31%	0.47%	0.13%	0.8%	0.95%	0.68%
42	0.33%	0.49%	0.16%	0.84%	1%	0.71%
43	0.35%	0.5%	0.19%	0.89%	1.06%	0.75%
44	0.38%	0.54%	0.2%	0.93%	1.12%	0.78%
45	0.41%	0.6%	0.2%	0.99%	1.19%	0.83%
46	0.44%	0.64%	0.23%	1.04%	1.25%	0.87%
47	0.48%	0.69%	0.25%	1.09%	1.33%	0.92%
48	0.51%	0.74%	0.27%	1.16%	1.41%	0.98%
49	0.53%	0.78%	0.27%	1.22%	1.5%	1.03%
50	0.56%	0.83%	0.29%	1.3%	1.6%	1.1%
51	0.61%	0.88%	0.34%	1.36%	1.68%	1.15%
52	0.65%	0.97%	0.34%	1.44%	1.78%	1.23%
53	0.7%	1.06%	0.36%	1.52%	1.87%	1.29%
54	0.78%	1.16%	0.42%	1.6%	1.97%	1.36%
55	0.83%	1.26%	0.42%	1.69%	2.09%	1.44%
56	0.86%	1.34%	0.42%	1.79%	2.2%	1.53%
57	0.91%	1.39%	0.47%	1.91%	2.33%	1.62%
58	0.98%	1.48%	0.54%	2.04%	2.48%	1.73%
59	1.09%	1.69%	0.58%	2.19%	2.65%	1.85%
60	1.2%	1.86%	0.63%	2.37%	2.87%	1.99%
61	1.31%	2.01%	0.71%	2.53%	3.04%	2.13%
62	1.41%	2.17%	0.78%	2.73%	3.28%	2.31%
63	1.52%	2.36%	0.83%	2.92%	3.5%	2.49%
64	1.64%	2.58%	0.9%	3.14%	3.74%	2.7%
65	1.79%	2.81%	1.01%	3.38%	4.01%	2.93%
66	1.92%	3.03%	1.11%	3.58%	4.26%	3.1%
67	2.01%	3.19%	1.16%	3.82%	4.56%	3.31%
68	2.11%	3.33%	1.26%	4.09%	4.9%	3.54%
69	2.23%	3.51%	1.37%	4.38%	5.25%	3.78%
70	2.35%	3.77%	1.44%	4.75%	5.7%	4.11%
71	2.54%	4.02%	1.6%	5.06%	6.09%	4.37%
72	2.74%	4.26%	1.82%	5.51%	6.62%	4.76%
73	2.93%	4.53%	1.99%	5.92%	7.12%	5.11%
74	3.14%	4.82%	2.19%	6.38%	7.68%	5.51%
75	3.4%	5.16%	2.45%	6.87%	8.28%	5.94%
76	3.69%	5.61%	2.7%	7.37%	8.9%	6.37%
77	3.98%	6%	2.98%	7.89%	9.57%	6.81%
78	4.3%	6.23%	3.39%	8.54%	10.4%	7.38%
79	4.77%	6.65%	3.91%	9.11%	11.1%	7.87%
80	5.41%	7.44%	4.51%	9.89%	12.1%	8.58%
81	6.01%	8.11%	5.12%	10.5%	12.9%	9.17%
82	6.69%	8.81%	5.82%	11.6%	14%	10.2%
83	7.54%	9.67%	6.7%	12.5%	15%	11.2%
84	8.47%	10.4%	7.75%	13.6%	16.2%	12.3%
85	9.6%	11.4%	8.93%	14.7%	17.3%	13.3%
86	11%	13.1%	10.2%	15.8%	18.5%	14.5%
87	12.3%	14.4%	11.6%	16.9%	19.7%	15.6%
88	13.5%	15.1%	13%	18.2%	20.9%	16.8%
89	15.2%	17.3%	14.5%	19.3%	22.2%	18%
90	16.8%	19.1%	16.1%	20.9%	23.7%	19.6%
91	18.3%	19.3%	18%	21.9%	24.9%	20.6%
92	20.7%	22.1%	20.2%	23.5%	26.4%	22.2%
93	23.2%	25.7%	22.5%	24.9%	27.9%	23.7%
94	25.2%	27.3%	24.6%	26.4%	29.5%	25.4%
95	27.1%	28.5%	26.8%	28.1%	31%	27.1%
96	29.6%	30.6%	29.3%	29.6%	32.5%	28.7%
97	32%	32.8%	31.8%	31.1%	33.9%	30.2%
98	34.4%	35%	34.3%	32.4%	35.2%	31.7%
99	36.9%	37.2%	36.8%	34.3%	36.9%	33.6%
100	39.3%	39.3%	39.3%	35.7%	38.2%	35%

Death rate by age in Lithuania compared to Zimbabwe

In Lithuania, the most common age of death is 86, compared to 0 in Zimbabwe. The median age of death is 80.4 in Lithuania and 68.8 in Zimbabwe — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Lithuania			Zimbabwe
	Total	Male	Female	Total	Male	Female
0	291.9	305	278.5	3,053	3,402	2,699
1	25.4	24.3	26.4	484	463	505
2	13.2	14.4	11.8	308	305	311
3	13.8	14.4	13.1	211.7	213.4	209.9
4	11.3	12.2	10.4	153.9	157.9	149.8
5	9.42	9.23	9.62	116.6	119.9	113.1
6	9.63	8.66	10.7	98.5	103	94
7	11.3	12	10.7	87.5	92.4	82.5
8	12	13.2	10.7	78.6	83.3	73.8
9	10.3	9.11	11.5	72.9	76.9	68.8
10	10.5	10.8	10.2	70.4	74.5	66.2
11	12.2	15.7	8.41	70.9	76.1	65.5
12	14.3	18.6	9.7	73.9	79.4	68.4
13	19.1	21.8	16.4	80.4	85.9	74.8
14	25	28.9	20.8	90.9	97.8	83.9
15	29.1	40.8	16.8	106.1	114.9	97.1
16	30.9	45.9	15.2	122.8	135.4	110
17	34.2	43.8	24.1	143.2	161.3	124.9
18	50.7	70.8	29.8	164.9	188.9	140.6
19	62.7	94.3	30	182.4	209.2	155.3
20	56.2	83.3	28.3	200.4	229.9	170.6
21	56.7	82.6	30	216.1	249.9	182.2
22	62.3	92.2	31.2	234.1	270.1	198.3
23	64.5	99.2	28.2	251.5	289	214.4
24	67.9	107	27.3	268.5	307	231.1
25	77	118.5	33.7	286.4	326	248.2
26	82.1	123.9	38.2	304	344	267.1
27	90.6	138.4	39.5	324	365	286.2
28	109.5	173.6	40.2	343	387	303
29	123.7	194.9	46.9	363	409	323
30	123.6	182.3	59.6	385	436	341
31	130.3	194.6	59.1	403	458	356
32	148.5	225.2	62.9	428	487	379
33	172.2	250.4	84.7	453	517	400
34	186.8	269.6	92.7	481	550	423
35	194	281.1	93.1	512	586	450
36	201.3	287.8	100.8	539	619	473
37	224.5	322	110.3	568	655	496
38	262.3	387	115.9	599	691	522
39	271.3	396	125	627	725	545
40	275.1	398	130.8	659	766	571
41	301	446	132.1	685	795	592
42	320	461	155.8	717	834	617
43	336	467	183.2	747	871	642
44	361	507	192	779	911	669
45	391	555	199.3	816	958	702
46	417	589	222.4	850	1,000	731
47	448	630	244.5	888	1,046	766
48	475	674	256.5	929	1,096	806
49	493	708	260	969	1,146	846
50	518	741	280.7	1,018	1,207	892
51	560	787	324	1,050	1,245	925
52	596	853	327	1,100	1,298	971
53	639	928	338	1,140	1,342	1,009
54	702	1,001	394	1,184	1,389	1,052
55	742	1,077	398	1,233	1,440	1,097
56	766	1,132	394	1,284	1,485	1,146
57	800	1,155	445	1,341	1,537	1,197
58	857	1,218	506	1,411	1,599	1,257
59	942	1,363	535	1,481	1,664	1,318
60	1,028	1,481	582	1,571	1,756	1,398
61	1,106	1,569	648	1,632	1,809	1,463
62	1,177	1,655	711	1,718	1,890	1,553
63	1,248	1,765	754	1,790	1,952	1,636
64	1,330	1,887	809	1,866	2,014	1,726
65	1,429	2,002	900	1,945	2,075	1,824
66	1,507	2,091	975	1,993	2,121	1,875
67	1,542	2,140	1,004	2,050	2,172	1,938
68	1,590	2,161	1,081	2,111	2,224	2,007
69	1,642	2,203	1,159	2,166	2,269	2,069
70	1,696	2,284	1,202	2,250	2,336	2,164
71	1,785	2,341	1,322	2,281	2,352	2,203
72	1,881	2,380	1,473	2,356	2,400	2,294
73	1,953	2,423	1,589	2,393	2,412	2,346
74	2,030	2,466	1,712	2,427	2,414	2,401
75	2,134	2,512	1,873	2,448	2,404	2,446
76	2,234	2,586	2,009	2,444	2,370	2,468
77	2,321	2,611	2,161	2,424	2,321	2,470
78	2,410	2,551	2,381	2,416	2,272	2,497
79	2,559	2,550	2,657	2,358	2,186	2,465
80	2,761	2,665	2,945	2,328	2,113	2,474
81	2,903	2,691	3,191	2,235	1,982	2,419
82	3,036	2,683	3,441	2,197	1,873	2,450
83	3,194	2,688	3,733	2,102	1,730	2,403
84	3,319	2,605	4,028	1,999	1,583	2,345
85	3,442	2,562	4,282	1,858	1,418	2,232
86	3,561	2,606	4,462	1,709	1,253	2,102
87	3,556	2,501	4,539	1,540	1,088	1,934
88	3,420	2,242	4,500	1,372	930	1,762
89	3,315	2,179	4,361	1,196	779	1,570
90	3,119	1,989	4,148	1,040	647	1,401
91	2,822	1,627	3,887	863	518	1,184
92	2,605	1,503	3,588	724	414	1,016
93	2,322	1,356	3,186	588	322	843
94	1,933	1,074	2,695	469	244.7	687
95	1,559	812	2,213	366	181.8	548
96	1,240	624	1,777	277.6	131.3	423
97	945	465	1,362	205	92.4	318
98	690	333	1,000	147.6	63.5	232.4
99	485	230.3	706	105.4	43.2	168.4
100	174.6	56.5	274.1	24.9	0	53

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about Lithuania and Zimbabwe demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• Lithuania vs Zimbabwe: Statistical Insights

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size