Life Expectancy in Gabon vs Lithuania (1950-2026)

Life expectancy by current age

Chart Table

Gabon

Male

Female

Lithuania

Male

Female

1x

Current age, years	Total life expectancy, years
	Gabon			Lithuania
	Average	Male	Female	Average	Male	Female
100	102.1	102	102.2	102	101.8	102
99	101.2	101.2	101.3	101.1	100.9	101.1
98	100.3	100.3	100.4	100.2	100.1	100.2
97	99.5	99.4	99.5	99.3	99.2	99.3
96	98.6	98.5	98.7	98.5	98.4	98.5
95	97.8	97.7	97.8	97.7	97.6	97.7
94	96.9	96.8	97	96.9	96.7	96.9
93	96.1	96	96.1	96.1	95.9	96.1
92	95.3	95.2	95.3	95.4	95.2	95.4
91	94.5	94.3	94.6	94.6	94.4	94.7
90	93.7	93.5	93.8	94	93.7	94
89	92.9	92.8	93	93.3	93	93.4
88	92.2	92	92.3	92.6	92.3	92.7
87	91.4	91.2	91.5	92	91.6	92.1
86	90.7	90.5	90.8	91.4	90.9	91.6
85	90	89.8	90.1	90.8	90.3	91
84	89.3	89.1	89.5	90.3	89.7	90.5
83	88.6	88.4	88.8	89.8	89.1	90
82	88	87.7	88.2	89.3	88.5	89.6
81	87.4	87.1	87.6	88.8	88	89.2
80	86.7	86.4	87	88.4	87.4	88.8
79	86.2	85.8	86.4	88	86.9	88.4
78	85.6	85.2	85.9	87.5	86.4	88.1
77	85	84.6	85.4	87.1	85.8	87.8
76	84.5	84	84.9	86.8	85.3	87.5
75	84	83.5	84.4	86.4	84.8	87.2
74	83.5	82.9	83.9	86	84.3	86.9
73	83	82.4	83.5	85.6	83.8	86.6
72	82.5	81.9	83	85.3	83.3	86.4
71	82	81.4	82.6	84.9	82.9	86.1
70	81.6	80.9	82.2	84.6	82.4	85.9
69	81.2	80.4	81.8	84.2	81.9	85.7
68	80.8	80	81.5	83.9	81.5	85.5
67	80.4	79.5	81.1	83.6	81	85.3
66	80	79.1	80.8	83.3	80.6	85.1
65	79.6	78.7	80.5	82.9	80.2	84.9
64	79.3	78.3	80.2	82.6	79.8	84.7
63	78.9	77.9	79.9	82.3	79.4	84.5
62	78.6	77.5	79.6	82.1	79	84.3
61	78.3	77.2	79.4	81.8	78.7	84.2
60	78	76.8	79.1	81.5	78.3	84
59	77.7	76.5	78.9	81.3	78	83.9
58	77.4	76.2	78.7	81.1	77.7	83.7
57	77.1	75.9	78.4	80.9	77.4	83.6
56	76.9	75.6	78.2	80.7	77.2	83.5
55	76.6	75.3	78	80.4	76.9	83.4
54	76.4	75	77.9	80.2	76.6	83.3
53	76.2	74.7	77.7	80.1	76.4	83.2
52	75.9	74.5	77.5	79.9	76.2	83.1
51	75.7	74.2	77.3	79.7	75.9	82.9
50	75.5	74	77.2	79.5	75.7	82.9
49	75.3	73.8	77	79.4	75.5	82.8
48	75.2	73.6	76.9	79.2	75.3	82.7
47	75	73.4	76.7	79.1	75.1	82.6
46	74.8	73.2	76.6	78.9	74.9	82.5
45	74.6	73	76.5	78.8	74.8	82.4
44	74.5	72.8	76.3	78.7	74.6	82.3
43	74.3	72.6	76.2	78.5	74.4	82.3
42	74.2	72.4	76.1	78.4	74.3	82.2
41	74.1	72.3	76	78.3	74.1	82.2
40	73.9	72.1	75.9	78.2	74	82.1
39	73.8	72	75.8	78.1	73.9	82
38	73.7	71.8	75.7	78	73.7	82
37	73.5	71.7	75.6	77.9	73.6	81.9
36	73.4	71.6	75.5	77.8	73.5	81.9
35	73.3	71.4	75.4	77.7	73.4	81.9
34	73.2	71.3	75.4	77.6	73.3	81.8
33	73.1	71.2	75.3	77.6	73.2	81.8
32	73	71.1	75.2	77.5	73.1	81.7
31	72.9	70.9	75.1	77.4	73	81.7
30	72.8	70.8	75.1	77.4	72.9	81.7
29	72.7	70.7	75	77.3	72.8	81.7
28	72.7	70.6	74.9	77.3	72.7	81.6
27	72.6	70.5	74.9	77.2	72.7	81.6
26	72.5	70.4	74.8	77.2	72.6	81.6
25	72.4	70.3	74.7	77.1	72.6	81.6
24	72.3	70.2	74.7	77.1	72.5	81.6
23	72.2	70.1	74.6	77.1	72.5	81.5
22	72.2	70	74.6	77	72.4	81.5
21	72.1	69.9	74.5	77	72.4	81.5
20	72	69.8	74.5	77	72.3	81.5
19	71.9	69.7	74.4	76.9	72.3	81.5
18	71.9	69.7	74.4	76.9	72.2	81.4
17	71.8	69.6	74.3	76.9	72.2	81.4
16	71.8	69.5	74.3	76.9	72.2	81.4
15	71.7	69.5	74.2	76.8	72.2	81.4
14	71.7	69.4	74.2	76.8	72.2	81.4
13	71.6	69.4	74.2	76.8	72.1	81.4
12	71.6	69.4	74.1	76.8	72.1	81.4
11	71.6	69.3	74.1	76.8	72.1	81.4
10	71.5	69.3	74.1	76.8	72.1	81.4
9	71.5	69.2	74	76.8	72.1	81.4
8	71.5	69.2	74	76.8	72.1	81.3
7	71.4	69.1	74	76.8	72.1	81.3
6	71.4	69.1	73.9	76.8	72.1	81.3
5	71.3	69	73.9	76.8	72.1	81.3
4	71.2	68.9	73.8	76.7	72.1	81.3
3	71.1	68.8	73.7	76.7	72.1	81.3
2	70.9	68.6	73.5	76.7	72	81.3
1	70.7	68.3	73.2	76.7	72	81.3
0	68.9	66.4	71.6	76.5	71.8	81.1

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 Gabon can expect to live to 72.8 years compared to 77.4 in Lithuania, rising to 79.6 and 82.9 at 65, and to 86.7 and 88.4 at 80 — higher than the 68.9 and 76.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Gabon

Male

Female

Lithuania

Male

Female

1x

Age	Survival probability
	Gabon			Lithuania
	Average	Male	Female	Average	Male	Female
100	0.34%	0.23%	0.47%	0.83%	0.39%	1.21%
99	0.52%	0.35%	0.71%	1.32%	0.62%	1.92%
98	0.77%	0.52%	1.05%	2.01%	0.95%	2.92%
97	1.1%	0.76%	1.5%	2.95%	1.42%	4.28%
96	1.56%	1.08%	2.1%	4.19%	2.04%	6.06%
95	2.15%	1.51%	2.88%	5.75%	2.85%	8.27%
94	2.9%	2.07%	3.85%	7.68%	3.93%	11%
93	3.83%	2.77%	5.04%	10%	5.28%	14.2%
92	4.96%	3.63%	6.46%	12.6%	6.79%	17.7%
91	6.28%	4.66%	8.12%	15.4%	8.41%	21.6%
90	7.85%	5.89%	10.1%	18.6%	10.4%	25.8%
89	9.62%	7.3%	12.2%	21.9%	12.6%	30.1%
88	11.6%	8.92%	14.7%	25.3%	14.8%	34.6%
87	13.8%	10.7%	17.3%	28.8%	17.3%	39.2%
86	16.2%	12.7%	20.2%	32.4%	19.9%	43.6%
85	18.8%	14.9%	23.2%	35.8%	22.5%	47.9%
84	21.5%	17.2%	26.3%	39.2%	25.1%	51.9%
83	24.3%	19.7%	29.5%	42.4%	27.8%	55.7%
82	27.2%	22.2%	32.8%	45.4%	30.5%	59.1%
81	30%	24.8%	36%	48.3%	33.2%	62.3%
80	32.9%	27.4%	39.2%	51.1%	35.8%	65.3%
79	35.9%	30.1%	42.4%	53.6%	38.4%	67.9%
78	38.8%	32.8%	45.5%	56%	40.9%	70.3%
77	41.6%	35.5%	48.5%	58.3%	43.5%	72.5%
76	44.4%	38.2%	51.5%	60.6%	46.1%	74.5%
75	47.2%	40.8%	54.3%	62.7%	48.6%	76.3%
74	49.8%	43.5%	57.1%	64.7%	51.1%	78.1%
73	52.4%	46.1%	59.6%	66.7%	53.5%	79.6%
72	54.9%	48.6%	62.1%	68.6%	55.9%	81.1%
71	57.3%	51%	64.4%	70.4%	58.2%	82.4%
70	59.6%	53.4%	66.6%	72.1%	60.5%	83.6%
69	61.7%	55.7%	68.6%	73.7%	62.7%	84.8%
68	63.8%	57.9%	70.5%	75.3%	64.9%	85.9%
67	65.8%	60%	72.3%	76.8%	67%	86.9%
66	67.6%	62.1%	73.9%	78.3%	69.1%	87.9%
65	69.4%	64.1%	75.5%	79.8%	71.1%	88.8%
64	71.1%	66%	77%	81.1%	73%	89.6%
63	72.7%	67.7%	78.3%	82.3%	74.8%	90.3%
62	74.2%	69.4%	79.6%	83.5%	76.4%	91%
61	75.6%	71%	80.7%	84.6%	78%	91.7%
60	76.9%	72.5%	81.8%	85.7%	79.5%	92.3%
59	78.1%	73.9%	82.8%	86.6%	80.8%	92.8%
58	79.2%	75.3%	83.7%	87.5%	82.1%	93.3%
57	80.3%	76.5%	84.6%	88.3%	83.2%	93.7%
56	81.3%	77.7%	85.3%	89%	84.4%	94.1%
55	82.2%	78.8%	86.1%	89.8%	85.4%	94.5%
54	83.1%	79.9%	86.8%	90.5%	86.4%	94.9%
53	84%	80.9%	87.5%	91.1%	87.4%	95.3%
52	84.8%	81.8%	88.1%	91.7%	88.2%	95.6%
51	85.5%	82.7%	88.6%	92.3%	89%	95.9%
50	86.2%	83.5%	89.2%	92.8%	89.7%	96.2%
49	86.8%	84.3%	89.7%	93.3%	90.4%	96.5%
48	87.5%	85%	90.1%	93.7%	91.1%	96.7%
47	88%	85.7%	90.6%	94.2%	91.8%	97%
46	88.5%	86.3%	91%	94.6%	92.3%	97.2%
45	89%	86.9%	91.3%	95%	92.9%	97.4%
44	89.5%	87.5%	91.7%	95.4%	93.4%	97.6%
43	89.9%	88%	92%	95.7%	93.9%	97.8%
42	90.4%	88.5%	92.3%	96%	94.3%	97.9%
41	90.7%	89%	92.6%	96.3%	94.8%	98%
40	91.1%	89.4%	92.9%	96.6%	95.2%	98.2%
39	91.4%	89.8%	93.1%	96.9%	95.6%	98.3%
38	91.8%	90.2%	93.4%	97.1%	96%	98.4%
37	92.1%	90.6%	93.6%	97.4%	96.3%	98.5%
36	92.4%	90.9%	93.8%	97.6%	96.6%	98.6%
35	92.6%	91.3%	94%	97.8%	96.9%	98.7%
34	92.9%	91.6%	94.2%	97.9%	97.1%	98.8%
33	93.1%	91.9%	94.4%	98.1%	97.4%	98.9%
32	93.3%	92.2%	94.6%	98.3%	97.6%	99%
31	93.6%	92.4%	94.7%	98.4%	97.8%	99%
30	93.8%	92.7%	94.9%	98.5%	98%	99.1%
29	94%	92.9%	95%	98.6%	98.2%	99.1%
28	94.1%	93.2%	95.1%	98.7%	98.3%	99.2%
27	94.3%	93.4%	95.3%	98.8%	98.5%	99.2%
26	94.5%	93.6%	95.4%	98.9%	98.6%	99.2%
25	94.7%	93.8%	95.5%	99%	98.7%	99.3%
24	94.8%	94%	95.6%	99.1%	98.8%	99.3%
23	95%	94.2%	95.7%	99.1%	98.9%	99.3%
22	95.1%	94.4%	95.8%	99.2%	99%	99.4%
21	95.3%	94.6%	95.9%	99.2%	99.1%	99.4%
20	95.4%	94.8%	96%	99.3%	99.2%	99.4%
19	95.5%	94.9%	96.1%	99.4%	99.3%	99.5%
18	95.6%	95.1%	96.2%	99.4%	99.4%	99.5%
17	95.7%	95.2%	96.3%	99.5%	99.4%	99.5%
16	95.8%	95.3%	96.3%	99.5%	99.4%	99.5%
15	95.9%	95.4%	96.4%	99.5%	99.5%	99.5%
14	96%	95.5%	96.5%	99.5%	99.5%	99.6%
13	96%	95.6%	96.5%	99.6%	99.5%	99.6%
12	96.1%	95.6%	96.6%	99.6%	99.6%	99.6%
11	96.1%	95.7%	96.6%	99.6%	99.6%	99.6%
10	96.2%	95.8%	96.6%	99.6%	99.6%	99.6%
9	96.3%	95.8%	96.7%	99.6%	99.6%	99.6%
8	96.3%	95.9%	96.7%	99.6%	99.6%	99.6%
7	96.4%	96%	96.8%	99.6%	99.6%	99.6%
6	96.5%	96.1%	96.9%	99.6%	99.6%	99.7%
5	96.6%	96.2%	97%	99.6%	99.6%	99.7%
4	96.7%	96.3%	97.1%	99.7%	99.6%	99.7%
3	96.8%	96.5%	97.2%	99.7%	99.7%	99.7%
2	97.1%	96.7%	97.4%	99.7%	99.7%	99.7%
1	97.5%	97.1%	97.8%	99.7%	99.7%	99.7%

This chart shows the odds of living to each age from birth. 76.9% of newborns in Gabon and 85.7% in Lithuania are expected to live past 60, 59.6% and 72.1% past 70, 32.9% and 51.1% past 80, and only 7.85% and 18.6% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

Gabon

Male

Female

Lithuania

Male

Female

1x

Age	Probability of dying
	Gabon			Lithuania
	Average	Male	Female	Average	Male	Female
100	35.5%	36.1%	35.2%	39.3%	39.3%	39.3%
99	34.1%	34.7%	33.7%	36.9%	37.2%	36.8%
98	32.2%	32.9%	31.8%	34.4%	35%	34.3%
97	30.7%	31.5%	30.2%	32%	32.8%	31.8%
96	29.1%	30%	28.7%	29.6%	30.6%	29.3%
95	27.5%	28.4%	27%	27.1%	28.5%	26.8%
94	25.9%	26.9%	25.3%	25.2%	27.3%	24.6%
93	24.2%	25.3%	23.6%	23.2%	25.7%	22.5%
92	22.7%	23.7%	22.1%	20.7%	22.1%	20.2%
91	21.1%	22.1%	20.4%	18.3%	19.3%	18%
90	19.9%	20.9%	19.3%	16.8%	19.1%	16.1%
89	18.4%	19.4%	17.7%	15.2%	17.3%	14.5%
88	17.2%	18.1%	16.5%	13.5%	15.1%	13%
87	15.9%	16.9%	15.3%	12.3%	14.4%	11.6%
86	14.8%	15.7%	14.2%	11%	13.1%	10.2%
85	13.6%	14.5%	13%	9.6%	11.4%	8.93%
84	12.6%	13.5%	11.9%	8.47%	10.4%	7.75%
83	11.5%	12.4%	10.9%	7.54%	9.67%	6.7%
82	10.6%	11.4%	9.92%	6.69%	8.81%	5.82%
81	9.55%	10.4%	8.9%	6.01%	8.11%	5.12%
80	8.89%	9.66%	8.28%	5.41%	7.44%	4.51%
79	8.1%	8.88%	7.47%	4.77%	6.65%	3.91%
78	7.5%	8.26%	6.88%	4.3%	6.23%	3.39%
77	6.85%	7.6%	6.23%	3.98%	6%	2.98%
76	6.33%	7.06%	5.73%	3.69%	5.61%	2.7%
75	5.84%	6.55%	5.24%	3.4%	5.16%	2.45%
74	5.36%	6.06%	4.77%	3.14%	4.82%	2.19%
73	4.92%	5.61%	4.34%	2.93%	4.53%	1.99%
72	4.54%	5.2%	3.97%	2.74%	4.26%	1.82%
71	4.12%	4.76%	3.54%	2.54%	4.02%	1.6%
70	3.85%	4.47%	3.3%	2.35%	3.77%	1.44%
69	3.49%	4.1%	2.94%	2.23%	3.51%	1.37%
68	3.24%	3.82%	2.7%	2.11%	3.33%	1.26%
67	2.98%	3.54%	2.45%	2.01%	3.19%	1.16%
66	2.76%	3.3%	2.24%	1.92%	3.03%	1.11%
65	2.58%	3.1%	2.08%	1.79%	2.81%	1.01%
64	2.37%	2.86%	1.89%	1.64%	2.58%	0.9%
63	2.18%	2.64%	1.73%	1.52%	2.36%	0.83%
62	2.01%	2.44%	1.58%	1.41%	2.17%	0.78%
61	1.83%	2.23%	1.42%	1.31%	2.01%	0.71%
60	1.71%	2.08%	1.33%	1.2%	1.86%	0.63%
59	1.55%	1.9%	1.19%	1.09%	1.69%	0.58%
58	1.44%	1.76%	1.1%	0.98%	1.48%	0.54%
57	1.33%	1.63%	1.01%	0.91%	1.39%	0.47%
56	1.24%	1.52%	0.94%	0.86%	1.34%	0.42%
55	1.15%	1.42%	0.87%	0.83%	1.26%	0.42%
54	1.07%	1.32%	0.81%	0.78%	1.16%	0.42%
53	1%	1.23%	0.75%	0.7%	1.06%	0.36%
52	0.94%	1.15%	0.7%	0.65%	0.97%	0.34%
51	0.86%	1.06%	0.64%	0.61%	0.88%	0.34%
50	0.81%	1%	0.6%	0.56%	0.83%	0.29%
49	0.74%	0.92%	0.55%	0.53%	0.78%	0.27%
48	0.69%	0.85%	0.51%	0.51%	0.74%	0.27%
47	0.64%	0.79%	0.47%	0.48%	0.69%	0.25%
46	0.59%	0.73%	0.44%	0.44%	0.64%	0.23%
45	0.56%	0.69%	0.41%	0.41%	0.6%	0.2%
44	0.52%	0.64%	0.38%	0.38%	0.54%	0.2%
43	0.49%	0.6%	0.36%	0.35%	0.5%	0.19%
42	0.46%	0.56%	0.34%	0.33%	0.49%	0.16%
41	0.42%	0.52%	0.31%	0.31%	0.47%	0.13%
40	0.4%	0.5%	0.3%	0.28%	0.42%	0.13%
39	0.37%	0.46%	0.27%	0.28%	0.41%	0.13%
38	0.35%	0.44%	0.26%	0.27%	0.4%	0.12%
37	0.33%	0.41%	0.24%	0.23%	0.33%	0.11%
36	0.31%	0.38%	0.23%	0.21%	0.3%	0.1%
35	0.29%	0.36%	0.21%	0.2%	0.29%	0.09%
34	0.27%	0.34%	0.2%	0.19%	0.28%	0.09%
33	0.26%	0.32%	0.19%	0.18%	0.26%	0.09%
32	0.24%	0.31%	0.18%	0.15%	0.23%	0.06%
31	0.23%	0.29%	0.16%	0.13%	0.2%	0.06%
30	0.22%	0.28%	0.16%	0.13%	0.19%	0.06%
29	0.21%	0.26%	0.15%	0.13%	0.2%	0.05%
28	0.2%	0.25%	0.14%	0.11%	0.18%	0.04%
27	0.19%	0.24%	0.14%	0.09%	0.14%	0.04%
26	0.18%	0.23%	0.13%	0.08%	0.13%	0.04%
25	0.18%	0.23%	0.12%	0.08%	0.12%	0.03%
24	0.17%	0.22%	0.12%	0.07%	0.11%	0.03%
23	0.16%	0.21%	0.11%	0.07%	0.1%	0.03%
22	0.16%	0.2%	0.11%	0.06%	0.09%	0.03%
21	0.15%	0.19%	0.1%	0.06%	0.08%	0.03%
20	0.14%	0.18%	0.1%	0.06%	0.08%	0.03%
19	0.13%	0.17%	0.09%	0.06%	0.09%	0.03%
18	0.12%	0.15%	0.09%	0.05%	0.07%	0.03%
17	0.11%	0.13%	0.08%	0.03%	0.04%	0.02%
16	0.09%	0.11%	0.07%	0.03%	0.05%	0.02%
15	0.08%	0.1%	0.06%	0.03%	0.04%	0.02%
14	0.07%	0.08%	0.06%	0.03%	0.03%	0.02%
13	0.06%	0.07%	0.05%	0.02%	0.02%	0.02%
12	0.06%	0.07%	0.05%	0.01%	0.02%	0.01%
11	0.06%	0.07%	0.05%	0.01%	0.02%	0.008%
10	0.06%	0.07%	0.05%	0.01%	0.01%	0.01%
9	0.06%	0.07%	0.05%	0.01%	0.009%	0.01%
8	0.06%	0.07%	0.06%	0.01%	0.01%	0.01%
7	0.07%	0.08%	0.06%	0.01%	0.01%	0.01%
6	0.08%	0.09%	0.07%	0.01%	0.009%	0.01%
5	0.1%	0.11%	0.09%	0.009%	0.009%	0.01%
4	0.13%	0.14%	0.12%	0.01%	0.01%	0.01%
3	0.17%	0.19%	0.16%	0.01%	0.01%	0.01%
2	0.25%	0.27%	0.23%	0.01%	0.01%	0.01%
1	0.4%	0.42%	0.37%	0.03%	0.02%	0.03%
0	2.52%	2.86%	2.18%	0.29%	0.3%	0.28%

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

The annual chance of dying is 2.52% in the birth year in Gabon and 0.29% in Lithuania, 0.22% vs 0.13% at age 30, 1.71% vs 1.2% at 60, and 8.89% vs 5.41% at 80.

Death rate by age in Gabon vs Lithuania

Chart Table

Gabon

Male

Female

Lithuania

Male

Female

1x

Age	Death rate
	Gabon			Lithuania
	Total	Male	Female	Total	Male	Female
100	50	25.2	77.9	174.6	56.5	274.1
99	176.9	120.7	240.4	485	230.3	706
98	246.3	170.7	332	690	333	1,000
97	339	238.3	453	945	465	1,362
96	454	324	602	1,240	624	1,777
95	593	430	777	1,559	812	2,213
94	750	555	972	1,933	1,074	2,695
93	929	699	1,189	2,322	1,356	3,186
92	1,126	861	1,426	2,605	1,503	3,588
91	1,324	1,031	1,657	2,822	1,627	3,887
90	1,565	1,228	1,945	3,119	1,989	4,148
89	1,772	1,417	2,172	3,315	2,179	4,361
88	1,996	1,618	2,422	3,420	2,242	4,500
87	2,203	1,813	2,644	3,556	2,501	4,539
86	2,402	2,001	2,855	3,561	2,606	4,462
85	2,562	2,164	3,011	3,442	2,562	4,282
84	2,707	2,321	3,143	3,319	2,605	4,028
83	2,796	2,433	3,206	3,194	2,688	3,733
82	2,869	2,531	3,250	3,036	2,683	3,441
81	2,867	2,571	3,199	2,903	2,691	3,191
80	2,928	2,646	3,246	2,761	2,665	2,945
79	2,902	2,670	3,164	2,559	2,550	2,657
78	2,906	2,706	3,132	2,410	2,551	2,381
77	2,849	2,696	3,023	2,321	2,611	2,161
76	2,813	2,696	2,948	2,234	2,586	2,009
75	2,753	2,676	2,848	2,134	2,512	1,873
74	2,673	2,636	2,721	2,030	2,466	1,712
73	2,582	2,584	2,586	1,953	2,423	1,589
72	2,495	2,529	2,463	1,881	2,380	1,473
71	2,358	2,431	2,281	1,785	2,341	1,322
70	2,295	2,386	2,198	1,696	2,284	1,202
69	2,157	2,285	2,016	1,642	2,203	1,159
68	2,066	2,212	1,903	1,590	2,161	1,081
67	1,961	2,128	1,773	1,542	2,140	1,004
66	1,865	2,047	1,658	1,507	2,091	975
65	1,791	1,985	1,570	1,429	2,002	900
64	1,684	1,884	1,455	1,330	1,887	809
63	1,585	1,788	1,352	1,248	1,765	754
62	1,492	1,695	1,258	1,177	1,655	711
61	1,381	1,584	1,146	1,106	1,569	648
60	1,315	1,512	1,086	1,028	1,481	582
59	1,212	1,406	985	942	1,363	535
58	1,139	1,326	920	857	1,218	506
57	1,064	1,246	851	800	1,155	445
56	1,005	1,179	799	766	1,132	394
55	946	1,115	746	742	1,077	398
54	894	1,056	701	702	1,001	394
53	841	996	655	639	928	338
52	794	942	618	596	853	327
51	736	878	566	560	787	324
50	700	835	539	518	741	280.7
49	647	774	494	493	708	260
48	604	725	461	475	674	256.5
47	563	677	426	448	630	244.5
46	527	634	398	417	589	222.4
45	497	599	376	391	555	199.3
44	464	559	351	361	507	192
43	436	527	330	336	467	183.2
42	413	499	313	320	461	155.8
41	384	466	288.7	301	446	132.1
40	366	444	275.8	275.1	398	130.8
39	342	416	256	271.3	396	125
38	322	393	241.3	262.3	387	115.9
37	302	370	224.5	224.5	322	110.3
36	284.7	349	212	201.3	287.8	100.8
35	268.9	331	199.6	194	281.1	93.1
34	252.7	312	186.9	186.8	269.6	92.7
33	238.7	295.8	176.3	172.2	250.4	84.7
32	226.3	281.5	166.8	148.5	225.2	62.9
31	212.9	266.2	156	130.3	194.6	59.1
30	205.2	256.8	150.6	123.6	182.3	59.6
29	194.7	244.8	142.2	123.7	194.9	46.9
28	186.5	235.5	135.6	109.5	173.6	40.2
27	178.9	227.1	129.1	90.6	138.4	39.5
26	172.1	219.7	123	82.1	123.9	38.2
25	166.1	213.6	117.4	77	118.5	33.7
24	160.6	207.4	112.6	67.9	107	27.3
23	154.8	201.1	107.5	64.5	99.2	28.2
22	148.6	193.5	102.6	62.3	92.2	31.2
21	141.6	184.3	98	56.7	82.6	30
20	134.1	173.6	93.9	56.2	83.3	28.3
19	125.2	161.1	88.7	62.7	94.3	30
18	115.2	146.9	82.9	50.7	70.8	29.8
17	101.7	126.8	76.2	34.2	43.8	24.1
16	89	108.3	69.4	30.9	45.9	15.2
15	76.8	91.4	61.9	29.1	40.8	16.8
14	67.1	78.9	55.1	25	28.9	20.8
13	60.2	69.8	50.3	19.1	21.8	16.4
12	56	64.8	47.1	14.3	18.6	9.7
11	54.2	62.5	45.8	12.2	15.7	8.41
10	54.5	62.4	46.4	10.5	10.8	10.2
9	56.9	65	48.7	10.3	9.11	11.5
8	61.9	70.2	53.3	12	13.2	10.7
7	69.5	78.2	60.7	11.3	12	10.7
6	79.6	88.2	70.8	9.63	8.66	10.7
5	94.7	103.4	85.8	9.42	9.23	9.62
4	122.6	133.2	111.7	11.3	12.2	10.4
3	167.3	181.2	153.2	13.8	14.4	13.1
2	240.3	257.8	222.4	13.2	14.4	11.8
1	388	410	366	25.4	24.3	26.4
0	2,523	2,857	2,184	291.9	305	278.5

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 Gabon, the most common age of death is 80, compared to 86 in Lithuania. The median age of death is 73.9 in Gabon and 80.4 in Lithuania, 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 Gabon and Lithuania more than their death rates.

Life expectancy in other countries

+ -

1x