Life Expectancy in Lithuania vs Zimbabwe (1950-2026)

Life expectancy by current age

Chart Table

Lithuania

Male

Female

Zimbabwe

Male

Female

1x

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

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 68.5 in Zimbabwe, rising to 82.9 and 78.3 at 65, and to 88.4 and 86.4 at 80 — higher than the 76.5 and 63.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Lithuania

Male

Female

Zimbabwe

Male

Female

1x

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

This chart shows the odds of living to each age from birth. 85.7% of newborns in Lithuania and 66.2% in Zimbabwe are expected to live past 60, 72.1% and 47.3% past 70, 51.1% and 23.5% past 80, and only 18.6% and 4.99% 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

Zimbabwe

Male

Female

1x

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

This chart displays the probability of dying at any given age in Lithuania compared to Zimbabwe, as 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.

Death rate by age in Lithuania vs Zimbabwe

Chart Table

Lithuania

Male

Female

Zimbabwe

Male

Female

1x

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

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 Zimbabwe. The median age of death is 80.4 in Lithuania and 68.8 in Zimbabwe, 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 Zimbabwe more than their death rates.

Life expectancy in other countries

+ -

1x