Life Expectancy in Gabon vs Thailand (1950-2025)

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 Gabon vs Thailand: 72.7 years vs 78.9 at 30, 79.6 vs 84.6 at 65, 86.7 vs 89.7 at 80 — significantly higher than the 68.7 vs 76.8 years calculated at birth.

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

Table

Current age, years	Total life expectancy, years
	Gabon			Thailand
	Average	Male	Female	Average	Male	Female
0	68.7	66.2	71.4	76.8	72.6	81.2
1	70.5	68.2	73.1	77.4	73.3	81.7
2	70.8	68.5	73.4	77.5	73.3	81.8
3	71	68.7	73.5	77.5	73.4	81.8
4	71.1	68.8	73.7	77.6	73.4	81.9
5	71.2	68.9	73.7	77.6	73.4	81.9
6	71.3	69	73.8	77.6	73.5	81.9
7	71.3	69	73.9	77.6	73.5	81.9
8	71.4	69.1	73.9	77.7	73.5	81.9
9	71.4	69.1	73.9	77.7	73.5	82
10	71.4	69.2	74	77.7	73.6	82
11	71.5	69.2	74	77.7	73.6	82
12	71.5	69.2	74	77.7	73.6	82
13	71.5	69.3	74.1	77.8	73.6	82.1
14	71.6	69.3	74.1	77.8	73.7	82.1
15	71.6	69.4	74.1	77.9	73.7	82.1
16	71.7	69.4	74.2	77.9	73.8	82.1
17	71.7	69.5	74.2	78	73.9	82.2
18	71.8	69.6	74.3	78	74	82.2
19	71.8	69.6	74.3	78.1	74.1	82.2
20	71.9	69.7	74.4	78.2	74.2	82.3
21	72	69.8	74.4	78.3	74.3	82.3
22	72.1	69.9	74.5	78.3	74.4	82.4
23	72.1	70	74.5	78.4	74.5	82.4
24	72.2	70.1	74.6	78.5	74.6	82.4
25	72.3	70.2	74.6	78.5	74.7	82.5
26	72.4	70.3	74.7	78.6	74.8	82.5
27	72.5	70.4	74.8	78.7	74.9	82.5
28	72.6	70.5	74.8	78.8	75	82.6
29	72.6	70.6	74.9	78.8	75.1	82.6
30	72.7	70.7	75	78.9	75.2	82.7
31	72.8	70.9	75	79	75.3	82.7
32	72.9	71	75.1	79.1	75.4	82.7
33	73	71.1	75.2	79.2	75.5	82.8
34	73.1	71.2	75.3	79.2	75.7	82.8
35	73.2	71.3	75.4	79.3	75.8	82.9
36	73.3	71.5	75.4	79.4	75.9	82.9
37	73.5	71.6	75.5	79.5	76.1	83
38	73.6	71.8	75.6	79.7	76.2	83.1
39	73.7	71.9	75.7	79.8	76.4	83.2
40	73.8	72.1	75.8	79.9	76.6	83.2
41	74	72.2	75.9	80.1	76.8	83.3
42	74.1	72.4	76	80.2	77	83.4
43	74.3	72.5	76.2	80.4	77.2	83.5
44	74.4	72.7	76.3	80.5	77.4	83.6
45	74.6	72.9	76.4	80.7	77.6	83.7
46	74.7	73.1	76.5	80.8	77.8	83.8
47	74.9	73.3	76.7	81	78.1	83.9
48	75.1	73.5	76.8	81.2	78.3	84
49	75.3	73.7	76.9	81.4	78.5	84.1
50	75.5	73.9	77.1	81.5	78.7	84.2
51	75.7	74.2	77.3	81.7	79	84.3
52	75.9	74.4	77.4	81.9	79.2	84.4
53	76.1	74.7	77.6	82.1	79.5	84.6
54	76.3	75	77.8	82.3	79.7	84.7
55	76.6	75.2	78	82.5	80	84.8
56	76.8	75.5	78.2	82.7	80.2	85
57	77.1	75.8	78.4	82.9	80.5	85.1
58	77.3	76.1	78.6	83.1	80.7	85.2
59	77.6	76.4	78.8	83.3	81	85.4
60	77.9	76.8	79.1	83.5	81.3	85.5
61	78.2	77.1	79.3	83.7	81.5	85.7
62	78.5	77.5	79.6	83.9	81.8	85.9
63	78.9	77.9	79.9	84.2	82.1	86
64	79.2	78.2	80.1	84.4	82.4	86.2
65	79.6	78.7	80.4	84.6	82.7	86.3
66	79.9	79.1	80.8	84.9	83	86.5
67	80.3	79.5	81.1	85.1	83.3	86.7
68	80.7	80	81.4	85.4	83.7	86.9
69	81.1	80.4	81.8	85.7	84	87.1
70	81.6	80.9	82.2	86	84.4	87.3
71	82	81.4	82.6	86.3	84.8	87.5
72	82.5	81.9	83	86.6	85.2	87.8
73	82.9	82.4	83.4	86.9	85.6	88
74	83.4	82.9	83.9	87.3	86	88.3
75	83.9	83.5	84.3	87.6	86.4	88.6
76	84.5	84	84.8	88	86.9	88.9
77	85	84.6	85.4	88.4	87.3	89.2
78	85.6	85.2	85.9	88.8	87.8	89.6
79	86.1	85.8	86.4	89.2	88.3	89.9
80	86.7	86.4	87	89.7	88.8	90.3
81	87.3	87	87.6	90.2	89.4	90.7
82	88	87.7	88.2	90.7	89.9	91.2
83	88.6	88.4	88.8	91.2	90.5	91.6
84	89.3	89	89.4	91.7	91.1	92.1
85	90	89.8	90.1	92.3	91.7	92.6
86	90.7	90.5	90.8	92.8	92.3	93.1
87	91.4	91.2	91.5	93.4	93	93.7
88	92.1	92	92.3	94	93.6	94.3
89	92.9	92.8	93	94.7	94.3	94.9
90	93.7	93.5	93.8	95.3	95	95.5
91	94.5	94.3	94.6	96	95.7	96.2
92	95.3	95.1	95.3	96.7	96.4	96.9
93	96.1	96	96.1	97.4	97.2	97.5
94	96.9	96.8	97	98.1	97.9	98.2
95	97.7	97.7	97.8	98.9	98.7	99
96	98.6	98.5	98.6	99.6	99.4	99.7
97	99.5	99.4	99.5	100.4	100.2	100.5
98	100.3	100.3	100.4	101.2	101	101.3
99	101.2	101.2	101.3	102	101.8	102.2
100	102.1	102	102.2	102.9	102.6	103.1

Odds of living to age in Gabon vs Thailand

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 76.6% in Gabon and 84% in Thailand are expected to survive till at least 60 years old, 59.3% and 73.9% will live to 70 years or older, 32.7% and 54.5% to 80+ years, and 7.73% and 24.4% 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
	Gabon			Thailand
	Average	Male	Female	Average	Male	Female
1	97.4%	97.1%	97.7%	99.2%	99.1%	99.3%
2	97%	96.7%	97.4%	99.2%	99.1%	99.3%
3	96.8%	96.4%	97.1%	99.1%	99%	99.2%
4	96.6%	96.2%	97%	99.1%	99%	99.2%
5	96.5%	96.1%	96.9%	99%	98.9%	99.1%
6	96.4%	96%	96.8%	99%	98.9%	99.1%
7	96.3%	95.9%	96.7%	98.9%	98.8%	99.1%
8	96.2%	95.8%	96.6%	98.9%	98.8%	99%
9	96.2%	95.7%	96.6%	98.9%	98.8%	99%
10	96.1%	95.7%	96.5%	98.9%	98.7%	99%
11	96%	95.6%	96.5%	98.8%	98.7%	99%
12	96%	95.5%	96.4%	98.8%	98.6%	98.9%
13	95.9%	95.5%	96.4%	98.7%	98.6%	98.9%
14	95.9%	95.4%	96.3%	98.7%	98.5%	98.9%
15	95.8%	95.3%	96.3%	98.6%	98.4%	98.8%
16	95.7%	95.2%	96.2%	98.5%	98.3%	98.8%
17	95.6%	95.1%	96.1%	98.4%	98.2%	98.7%
18	95.5%	95%	96.1%	98.3%	98%	98.7%
19	95.4%	94.8%	96%	98.2%	97.8%	98.6%
20	95.3%	94.7%	95.9%	98.1%	97.6%	98.5%
21	95.1%	94.5%	95.8%	97.9%	97.4%	98.5%
22	95%	94.3%	95.7%	97.8%	97.2%	98.4%
23	94.9%	94.1%	95.6%	97.7%	97.1%	98.4%
24	94.7%	93.9%	95.5%	97.6%	96.9%	98.3%
25	94.5%	93.7%	95.4%	97.5%	96.7%	98.2%
26	94.4%	93.5%	95.2%	97.3%	96.5%	98.2%
27	94.2%	93.3%	95.1%	97.2%	96.3%	98.1%
28	94%	93%	95%	97.1%	96.1%	98.1%
29	93.8%	92.8%	94.8%	96.9%	95.9%	98%
30	93.6%	92.6%	94.7%	96.8%	95.7%	97.9%
31	93.4%	92.3%	94.6%	96.6%	95.4%	97.8%
32	93.2%	92%	94.4%	96.4%	95.2%	97.7%
33	93%	91.7%	94.2%	96.3%	94.9%	97.7%
34	92.7%	91.4%	94%	96.1%	94.7%	97.6%
35	92.5%	91.1%	93.9%	95.9%	94.4%	97.4%
36	92.2%	90.8%	93.7%	95.6%	94.1%	97.3%
37	91.9%	90.4%	93.4%	95.4%	93.7%	97.2%
38	91.6%	90.1%	93.2%	95.1%	93.3%	97.1%
39	91.3%	89.7%	93%	94.9%	92.9%	96.9%
40	90.9%	89.2%	92.7%	94.5%	92.5%	96.7%
41	90.6%	88.8%	92.4%	94.2%	92%	96.6%
42	90.2%	88.3%	92.1%	93.8%	91.4%	96.4%
43	89.7%	87.8%	91.8%	93.5%	90.9%	96.2%
44	89.3%	87.3%	91.5%	93.1%	90.3%	95.9%
45	88.8%	86.7%	91.1%	92.7%	89.7%	95.7%
46	88.3%	86.1%	90.7%	92.2%	89.1%	95.5%
47	87.8%	85.5%	90.3%	91.8%	88.5%	95.2%
48	87.2%	84.8%	89.9%	91.3%	87.8%	94.9%
49	86.6%	84.1%	89.4%	90.8%	87.2%	94.6%
50	86%	83.3%	88.9%	90.3%	86.5%	94.3%
51	85.3%	82.5%	88.4%	89.8%	85.8%	94%
52	84.5%	81.6%	87.8%	89.3%	85%	93.6%
53	83.7%	80.6%	87.2%	88.7%	84.3%	93.3%
54	82.9%	79.6%	86.5%	88.1%	83.5%	92.9%
55	82%	78.6%	85.8%	87.5%	82.7%	92.5%
56	81%	77.4%	85.1%	86.9%	81.8%	92%
57	80%	76.3%	84.3%	86.2%	81%	91.6%
58	79%	75%	83.4%	85.5%	80%	91.1%
59	77.8%	73.7%	82.5%	84.8%	79.1%	90.6%
60	76.6%	72.3%	81.5%	84%	78.1%	90.1%
61	75.3%	70.7%	80.4%	83.2%	77.1%	89.5%
62	73.9%	69.1%	79.3%	82.4%	76%	89%
63	72.4%	67.4%	78%	81.5%	74.9%	88.4%
64	70.8%	65.7%	76.6%	80.6%	73.7%	87.7%
65	69.1%	63.8%	75.2%	79.7%	72.5%	87%
66	67.3%	61.8%	73.6%	78.7%	71.2%	86.3%
67	65.4%	59.7%	71.9%	77.6%	69.9%	85.6%
68	63.5%	57.6%	70.2%	76.5%	68.5%	84.8%
69	61.4%	55.4%	68.3%	75.2%	66.9%	83.8%
70	59.3%	53.1%	66.2%	73.9%	65.2%	82.8%
71	57%	50.7%	64%	72.4%	63.5%	81.7%
72	54.6%	48.3%	61.8%	70.9%	61.6%	80.4%
73	52.1%	45.8%	59.3%	69.3%	59.7%	79.1%
74	49.5%	43.2%	56.7%	67.5%	57.7%	77.7%
75	46.9%	40.5%	54%	65.7%	55.7%	76.1%
76	44.1%	37.9%	51.1%	63.8%	53.5%	74.4%
77	41.3%	35.2%	48.2%	61.7%	51.2%	72.5%
78	38.5%	32.5%	45.2%	59.4%	48.8%	70.4%
79	35.6%	29.8%	42%	57%	46.3%	68.2%
80	32.7%	27.1%	38.9%	54.5%	43.7%	65.7%
81	29.7%	24.5%	35.7%	51.8%	41%	63%
82	26.9%	22%	32.5%	49%	38.3%	60.2%
83	24%	19.4%	29.2%	46.1%	35.6%	57.2%
84	21.3%	17%	26%	43.1%	32.8%	54%
85	18.6%	14.7%	22.9%	40.1%	30%	50.6%
86	16%	12.6%	19.9%	36.9%	27.3%	47%
87	13.6%	10.6%	17.1%	33.8%	24.6%	43.4%
88	11.5%	8.8%	14.5%	30.6%	22%	39.7%
89	9.49%	7.2%	12.1%	27.4%	19.4%	35.9%
90	7.73%	5.8%	9.92%	24.4%	17%	32.1%
91	6.19%	4.59%	8%	21.4%	14.7%	28.4%
92	4.88%	3.57%	6.36%	18.5%	12.5%	24.9%
93	3.77%	2.72%	4.95%	15.9%	10.5%	21.5%
94	2.85%	2.03%	3.78%	13.4%	8.77%	18.3%
95	2.11%	1.49%	2.82%	11.1%	7.18%	15.3%
96	1.53%	1.06%	2.06%	9.09%	5.78%	12.6%
97	1.08%	0.74%	1.47%	7.27%	4.56%	10.1%
98	0.75%	0.51%	1.02%	5.69%	3.53%	7.98%
99	0.51%	0.34%	0.7%	4.35%	2.67%	6.14%
100	0.34%	0.22%	0.46%	3.24%	1.98%	4.59%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 2.59% in the birth year in Gabon and 0.78% in Thailand, 0.22% vs 0.16% at age 30, 1.72% vs 0.95% at 60, and 8.93% vs 4.9% at 80.

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

Table

Age	Probability of dying
	Gabon			Thailand
	Average	Male	Female	Average	Male	Female
0	2.59%	2.92%	2.26%	0.78%	0.87%	0.68%
1	0.41%	0.43%	0.39%	0.07%	0.06%	0.07%
2	0.25%	0.27%	0.24%	0.06%	0.06%	0.05%
3	0.18%	0.19%	0.16%	0.05%	0.05%	0.04%
4	0.13%	0.14%	0.12%	0.04%	0.04%	0.04%
5	0.1%	0.11%	0.09%	0.04%	0.04%	0.03%
6	0.08%	0.09%	0.08%	0.03%	0.04%	0.03%
7	0.07%	0.08%	0.06%	0.03%	0.04%	0.03%
8	0.07%	0.07%	0.06%	0.03%	0.04%	0.03%
9	0.06%	0.07%	0.05%	0.03%	0.04%	0.03%
10	0.06%	0.07%	0.05%	0.03%	0.04%	0.03%
11	0.06%	0.07%	0.05%	0.04%	0.05%	0.03%
12	0.06%	0.07%	0.05%	0.05%	0.06%	0.03%
13	0.06%	0.07%	0.05%	0.06%	0.07%	0.04%
14	0.07%	0.08%	0.06%	0.07%	0.09%	0.04%
15	0.08%	0.1%	0.07%	0.08%	0.12%	0.05%
16	0.09%	0.12%	0.07%	0.1%	0.15%	0.05%
17	0.11%	0.14%	0.08%	0.12%	0.18%	0.06%
18	0.12%	0.16%	0.09%	0.13%	0.19%	0.06%
19	0.13%	0.17%	0.09%	0.13%	0.2%	0.06%
20	0.14%	0.19%	0.1%	0.13%	0.2%	0.06%
21	0.15%	0.2%	0.1%	0.13%	0.19%	0.06%
22	0.16%	0.21%	0.11%	0.12%	0.18%	0.06%
23	0.17%	0.22%	0.11%	0.12%	0.18%	0.06%
24	0.17%	0.22%	0.12%	0.12%	0.18%	0.06%
25	0.18%	0.23%	0.13%	0.13%	0.19%	0.06%
26	0.19%	0.24%	0.13%	0.14%	0.2%	0.07%
27	0.19%	0.25%	0.14%	0.14%	0.21%	0.07%
28	0.2%	0.26%	0.15%	0.15%	0.22%	0.07%
29	0.21%	0.27%	0.15%	0.16%	0.23%	0.08%
30	0.22%	0.28%	0.16%	0.16%	0.24%	0.08%
31	0.23%	0.29%	0.17%	0.17%	0.26%	0.09%
32	0.25%	0.31%	0.18%	0.18%	0.27%	0.09%
33	0.26%	0.33%	0.19%	0.19%	0.29%	0.1%
34	0.28%	0.35%	0.2%	0.21%	0.31%	0.11%
35	0.3%	0.37%	0.22%	0.23%	0.34%	0.12%
36	0.31%	0.39%	0.23%	0.25%	0.37%	0.13%
37	0.33%	0.41%	0.24%	0.28%	0.41%	0.15%
38	0.36%	0.44%	0.26%	0.3%	0.45%	0.16%
39	0.38%	0.47%	0.28%	0.33%	0.49%	0.17%
40	0.41%	0.5%	0.3%	0.35%	0.53%	0.19%
41	0.43%	0.53%	0.32%	0.38%	0.56%	0.2%
42	0.46%	0.57%	0.34%	0.4%	0.6%	0.21%
43	0.49%	0.61%	0.36%	0.42%	0.63%	0.22%
44	0.52%	0.65%	0.39%	0.44%	0.66%	0.24%
45	0.56%	0.7%	0.42%	0.46%	0.68%	0.25%
46	0.6%	0.74%	0.44%	0.48%	0.71%	0.27%
47	0.65%	0.8%	0.48%	0.5%	0.73%	0.29%
48	0.7%	0.86%	0.52%	0.53%	0.76%	0.31%
49	0.75%	0.93%	0.56%	0.55%	0.79%	0.33%
50	0.82%	1.01%	0.61%	0.58%	0.83%	0.35%
51	0.87%	1.07%	0.65%	0.61%	0.86%	0.38%
52	0.95%	1.16%	0.71%	0.64%	0.9%	0.4%
53	1.01%	1.24%	0.76%	0.66%	0.93%	0.42%
54	1.08%	1.33%	0.82%	0.69%	0.97%	0.44%
55	1.16%	1.43%	0.88%	0.73%	1.02%	0.47%
56	1.25%	1.53%	0.95%	0.77%	1.08%	0.49%
57	1.34%	1.64%	1.02%	0.81%	1.13%	0.52%
58	1.45%	1.78%	1.11%	0.85%	1.19%	0.55%
59	1.56%	1.92%	1.2%	0.89%	1.26%	0.58%
60	1.72%	2.1%	1.34%	0.95%	1.33%	0.61%
61	1.84%	2.25%	1.43%	1%	1.4%	0.65%
62	2.03%	2.46%	1.59%	1.05%	1.47%	0.68%
63	2.2%	2.66%	1.74%	1.12%	1.56%	0.72%
64	2.39%	2.88%	1.91%	1.18%	1.65%	0.77%
65	2.6%	3.12%	2.1%	1.23%	1.72%	0.8%
66	2.78%	3.32%	2.26%	1.32%	1.85%	0.86%
67	3%	3.57%	2.47%	1.48%	2.06%	0.98%
68	3.26%	3.84%	2.72%	1.65%	2.29%	1.11%
69	3.52%	4.13%	2.96%	1.82%	2.51%	1.24%
70	3.88%	4.49%	3.32%	1.97%	2.7%	1.37%
71	4.14%	4.79%	3.57%	2.12%	2.89%	1.49%
72	4.57%	5.23%	3.99%	2.28%	3.09%	1.64%
73	4.95%	5.64%	4.36%	2.48%	3.32%	1.81%
74	5.39%	6.09%	4.8%	2.71%	3.6%	2.01%
75	5.87%	6.58%	5.27%	2.98%	3.92%	2.26%
76	6.37%	7.1%	5.76%	3.3%	4.29%	2.54%
77	6.88%	7.63%	6.26%	3.65%	4.7%	2.87%
78	7.54%	8.29%	6.92%	4.04%	5.14%	3.23%
79	8.13%	8.92%	7.51%	4.45%	5.61%	3.62%
80	8.93%	9.7%	8.32%	4.9%	6.09%	4.05%
81	9.59%	10.4%	8.94%	5.38%	6.61%	4.52%
82	10.6%	11.5%	9.96%	5.9%	7.16%	5.03%
83	11.6%	12.4%	10.9%	6.47%	7.76%	5.61%
84	12.7%	13.5%	12%	7.11%	8.41%	6.26%
85	13.7%	14.6%	13%	7.81%	9.12%	6.98%
86	14.9%	15.8%	14.2%	8.58%	9.88%	7.76%
87	16%	16.9%	15.3%	9.41%	10.7%	8.61%
88	17.2%	18.2%	16.6%	10.3%	11.6%	9.52%
89	18.5%	19.5%	17.8%	11.2%	12.6%	10.5%
90	20%	20.9%	19.4%	12.2%	13.6%	11.5%
91	21.1%	22.2%	20.5%	13.3%	14.7%	12.6%
92	22.8%	23.8%	22.1%	14.4%	15.8%	13.7%
93	24.3%	25.3%	23.7%	15.6%	16.9%	14.9%
94	25.9%	26.9%	25.3%	16.9%	18.1%	16.2%
95	27.6%	28.5%	27.1%	18.4%	19.5%	17.8%
96	29.2%	30%	28.7%	20%	21%	19.5%
97	30.7%	31.5%	30.3%	21.7%	22.6%	21.2%
98	32.2%	32.9%	31.8%	23.5%	24.3%	23.1%
99	34.1%	34.7%	33.8%	25.5%	26.1%	25.2%
100	35.6%	36.1%	35.3%	27.2%	27.6%	26.9%

Death rate by age in Gabon compared to Thailand

In Gabon, the most common age of death is 80, compared to 87 in Thailand. The median age of death is 73.8 in Gabon and 81.6 in Thailand — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Gabon			Thailand
	Total	Male	Female	Total	Male	Female
0	2,594	2,920	2,263	777	867	681
1	399	418	379	64.9	63.5	66.5
2	246.2	262.5	229.6	54.7	55.9	53.4
3	171.1	184	157.9	46.5	49.5	43.3
4	125.2	135.1	115.1	40.2	44.3	35.8
5	96.6	104.7	88.3	35.5	40.2	30.5
6	81.1	89.3	72.8	32.4	37.3	27.1
7	70.9	79.2	62.4	30.8	35.8	25.4
8	63.1	71.2	54.8	30.6	35.8	25.1
9	58	65.9	50	31.7	37.2	25.9
10	55.5	63.4	47.6	34.1	40.3	27.6
11	55.3	63.5	46.9	38.4	46	30.3
12	57.1	65.7	48.3	45	55.4	33.9
13	61.3	70.8	51.6	54.4	69.7	38.2
14	68.3	80	56.4	67.1	89.9	43
15	78.2	92.7	63.3	82.9	116.1	47.7
16	90.5	109.8	71	99.9	145.1	51.9
17	103.4	128.5	77.9	115.2	171.9	55.1
18	117	148.8	84.8	125.2	189.3	57.1
19	127.2	163.1	90.6	128.9	195.8	58
20	136.2	175.7	95.9	127.2	192.5	58.2
21	143.7	186.6	100	123.5	185.4	58.1
22	150.8	196	104.7	120.3	179	58.2
23	157.1	203.6	109.7	119.4	176.4	58.9
24	163	210	114.8	121.3	178.5	60.3
25	168.6	216.2	119.7	125.8	185	62.4
26	174.7	222.5	125.4	131.9	194.4	65
27	181.7	229.9	131.6	138.7	205	68.1
28	189.5	238.4	138.1	145.5	215.4	71.4
29	197.8	247.8	144.8	152.1	225.1	75.2
30	208.4	259.9	153.3	158.7	234.4	79.5
31	216.2	269.4	158.8	166.2	244.6	84.6
32	229.8	284.8	169.8	175.6	257.2	91
33	242.3	299.2	179.5	187.5	273.4	98.7
34	256.5	316	190.2	202.8	294.2	108
35	272.9	335	203	221.2	320	118.7
36	288.8	353	215.6	242	349	130.5
37	306	374	228.2	264.8	382	142.8
38	327	397	245.1	288.7	417	155.3
39	346	420	259.8	312	453	167.4
40	371	449	279.7	335	487	179.3
41	389	470	292.6	357	519	190.9
42	418	503	317	378	547	202.7
43	441	532	334	396	572	215
44	469	565	355	413	593	228.1
45	502	604	380	430	611	242.4
46	532	640	403	446	629	258
47	568	682	431	463	648	275
48	610	731	466	482	668	293.4
49	652	780	499	502	690	313
50	705	840	544	524	714	333
51	741	884	571	547	739	353
52	799	948	623	568	763	373
53	846	1,002	660	590	786	393
54	899	1,061	706	611	810	412
55	951	1,121	751	637	842	432
56	1,010	1,185	804	667	880	453
57	1,070	1,252	856	697	917	475
58	1,145	1,332	926	727	954	498
59	1,218	1,412	991	758	993	522
60	1,321	1,517	1,093	795	1,036	550
61	1,386	1,589	1,152	831	1,079	578
62	1,497	1,700	1,264	865	1,119	604
63	1,590	1,793	1,358	909	1,170	639
64	1,689	1,889	1,461	950	1,217	672
65	1,795	1,989	1,576	979	1,250	697
66	1,869	2,050	1,664	1,036	1,315	744
67	1,964	2,130	1,778	1,146	1,441	836
68	2,068	2,213	1,907	1,263	1,570	940
69	2,159	2,286	2,020	1,366	1,678	1,039
70	2,297	2,386	2,202	1,453	1,762	1,130
71	2,358	2,430	2,284	1,535	1,832	1,221
72	2,495	2,527	2,465	1,620	1,903	1,319
73	2,580	2,581	2,587	1,716	1,983	1,431
74	2,670	2,631	2,721	1,829	2,076	1,563
75	2,751	2,669	2,847	1,960	2,182	1,718
76	2,808	2,688	2,945	2,104	2,295	1,892
77	2,842	2,687	3,018	2,253	2,406	2,079
78	2,898	2,695	3,126	2,399	2,508	2,272
79	2,892	2,657	3,156	2,538	2,594	2,467
80	2,916	2,632	3,235	2,667	2,661	2,658
81	2,853	2,556	3,186	2,784	2,710	2,847
82	2,854	2,515	3,235	2,891	2,743	3,031
83	2,779	2,416	3,189	2,986	2,758	3,209
84	2,689	2,303	3,125	3,068	2,758	3,378
85	2,543	2,146	2,990	3,131	2,739	3,528
86	2,382	1,983	2,833	3,168	2,698	3,650
87	2,183	1,795	2,622	3,177	2,637	3,735
88	1,976	1,601	2,400	3,151	2,552	3,774
89	1,752	1,401	2,150	3,083	2,440	3,756
90	1,546	1,214	1,924	2,981	2,306	3,690
91	1,308	1,017	1,637	2,847	2,151	3,578
92	1,111	850	1,408	2,670	1,972	3,403
93	916	689	1,172	2,470	1,781	3,192
94	739	547	957	2,261	1,589	2,965
95	583	423	765	2,044	1,401	2,719
96	447	319	591	1,817	1,215	2,450
97	333	234.2	445	1,577	1,031	2,153
98	241.7	167.6	326	1,339	857	1,847
99	173.4	118.5	235.6	1,110	697	1,547
100	48.2	24.3	75.2	874	510	1,260

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 Gabon and Thailand 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
• Gabon vs Thailand: Profiles in Numbers

By topic vs comparisons:

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