Life Expectancy in Gabon vs Thailand (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 Gabon vs Thailand: 72.8 years vs 79.1 at 30, 79.6 vs 84.8 at 65, 86.7 vs 89.8 at 80 — significantly higher than the 68.9 vs 77.1 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	68.9	66.4	71.6	77.1	72.9	81.4
1	70.7	68.3	73.2	77.7	73.5	81.9
2	70.9	68.6	73.5	77.7	73.6	82
3	71.1	68.8	73.7	77.7	73.6	82
4	71.2	68.9	73.8	77.8	73.7	82
5	71.3	69	73.9	77.8	73.7	82.1
6	71.4	69.1	73.9	77.8	73.7	82.1
7	71.4	69.1	74	77.9	73.7	82.1
8	71.5	69.2	74	77.9	73.8	82.1
9	71.5	69.2	74	77.9	73.8	82.1
10	71.5	69.3	74.1	77.9	73.8	82.2
11	71.6	69.3	74.1	77.9	73.8	82.2
12	71.6	69.4	74.1	78	73.9	82.2
13	71.6	69.4	74.2	78	73.9	82.2
14	71.7	69.4	74.2	78	73.9	82.3
15	71.7	69.5	74.2	78.1	74	82.3
16	71.8	69.5	74.3	78.1	74.1	82.3
17	71.8	69.6	74.3	78.2	74.1	82.3
18	71.9	69.7	74.4	78.3	74.2	82.4
19	71.9	69.7	74.4	78.3	74.3	82.4
20	72	69.8	74.5	78.4	74.5	82.5
21	72.1	69.9	74.5	78.5	74.6	82.5
22	72.2	70	74.6	78.5	74.7	82.5
23	72.2	70.1	74.6	78.6	74.7	82.6
24	72.3	70.2	74.7	78.7	74.8	82.6
25	72.4	70.3	74.7	78.7	74.9	82.6
26	72.5	70.4	74.8	78.8	75	82.7
27	72.6	70.5	74.9	78.9	75.1	82.7
28	72.7	70.6	74.9	79	75.2	82.7
29	72.7	70.7	75	79	75.3	82.8
30	72.8	70.8	75.1	79.1	75.4	82.8
31	72.9	70.9	75.1	79.2	75.5	82.9
32	73	71.1	75.2	79.3	75.6	82.9
33	73.1	71.2	75.3	79.3	75.8	82.9
34	73.2	71.3	75.4	79.4	75.9	83
35	73.3	71.4	75.4	79.5	76	83.1
36	73.4	71.6	75.5	79.6	76.1	83.1
37	73.5	71.7	75.6	79.7	76.3	83.2
38	73.7	71.8	75.7	79.8	76.4	83.2
39	73.8	72	75.8	80	76.6	83.3
40	73.9	72.1	75.9	80.1	76.8	83.4
41	74.1	72.3	76	80.2	77	83.5
42	74.2	72.4	76.1	80.4	77.2	83.5
43	74.3	72.6	76.2	80.5	77.4	83.6
44	74.5	72.8	76.3	80.7	77.6	83.7
45	74.6	73	76.5	80.8	77.8	83.8
46	74.8	73.2	76.6	81	78	83.9
47	75	73.4	76.7	81.2	78.2	84
48	75.2	73.6	76.9	81.3	78.5	84.1
49	75.3	73.8	77	81.5	78.7	84.2
50	75.5	74	77.2	81.7	78.9	84.3
51	75.7	74.2	77.3	81.9	79.1	84.4
52	75.9	74.5	77.5	82	79.4	84.6
53	76.2	74.7	77.7	82.2	79.6	84.7
54	76.4	75	77.9	82.4	79.9	84.8
55	76.6	75.3	78	82.6	80.1	85
56	76.9	75.6	78.2	82.8	80.3	85.1
57	77.1	75.9	78.4	83	80.6	85.2
58	77.4	76.2	78.7	83.2	80.9	85.4
59	77.7	76.5	78.9	83.4	81.1	85.5
60	78	76.8	79.1	83.6	81.4	85.7
61	78.3	77.2	79.4	83.8	81.7	85.8
62	78.6	77.5	79.6	84.1	82	86
63	78.9	77.9	79.9	84.3	82.2	86.1
64	79.3	78.3	80.2	84.5	82.5	86.3
65	79.6	78.7	80.5	84.8	82.8	86.5
66	80	79.1	80.8	85	83.1	86.6
67	80.4	79.5	81.1	85.2	83.4	86.8
68	80.8	80	81.5	85.5	83.8	87
69	81.2	80.4	81.8	85.8	84.1	87.2
70	81.6	80.9	82.2	86.1	84.5	87.4
71	82	81.4	82.6	86.4	84.9	87.6
72	82.5	81.9	83	86.7	85.3	87.9
73	83	82.4	83.5	87	85.7	88.1
74	83.5	82.9	83.9	87.4	86.1	88.4
75	84	83.5	84.4	87.7	86.5	88.7
76	84.5	84	84.9	88.1	86.9	89
77	85	84.6	85.4	88.5	87.4	89.3
78	85.6	85.2	85.9	88.9	87.9	89.6
79	86.2	85.8	86.4	89.3	88.4	90
80	86.7	86.4	87	89.8	88.9	90.4
81	87.4	87.1	87.6	90.2	89.4	90.8
82	88	87.7	88.2	90.7	90	91.2
83	88.6	88.4	88.8	91.2	90.6	91.7
84	89.3	89.1	89.5	91.8	91.1	92.2
85	90	89.8	90.1	92.3	91.8	92.7
86	90.7	90.5	90.8	92.9	92.4	93.2
87	91.4	91.2	91.5	93.5	93	93.8
88	92.2	92	92.3	94.1	93.7	94.3
89	92.9	92.8	93	94.7	94.3	95
90	93.7	93.5	93.8	95.4	95	95.6
91	94.5	94.3	94.6	96.1	95.7	96.2
92	95.3	95.2	95.3	96.7	96.5	96.9
93	96.1	96	96.1	97.4	97.2	97.6
94	96.9	96.8	97	98.2	97.9	98.3
95	97.8	97.7	97.8	98.9	98.7	99
96	98.6	98.5	98.7	99.7	99.5	99.8
97	99.5	99.4	99.5	100.4	100.2	100.5
98	100.3	100.3	100.4	101.2	101	101.4
99	101.2	101.2	101.3	102.1	101.8	102.2
100	102.1	102	102.2	102.9	102.7	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, 76.9% in Gabon and 84.3% in Thailand are expected to survive till at least 60 years old, 59.6% and 74.3% will live to 70 years or older, 32.9% and 55% to 80+ years, and 7.85% and 24.8% 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	97.5%	97.1%	97.8%	99.2%	99.2%	99.3%
2	97.1%	96.7%	97.4%	99.2%	99.1%	99.3%
3	96.8%	96.5%	97.2%	99.1%	99%	99.2%
4	96.7%	96.3%	97.1%	99.1%	99%	99.2%
5	96.6%	96.2%	97%	99%	98.9%	99.1%
6	96.5%	96.1%	96.9%	99%	98.9%	99.1%
7	96.4%	96%	96.8%	99%	98.9%	99.1%
8	96.3%	95.9%	96.7%	98.9%	98.8%	99.1%
9	96.3%	95.8%	96.7%	98.9%	98.8%	99%
10	96.2%	95.8%	96.6%	98.9%	98.8%	99%
11	96.1%	95.7%	96.6%	98.8%	98.7%	99%
12	96.1%	95.6%	96.6%	98.8%	98.7%	98.9%
13	96%	95.6%	96.5%	98.8%	98.6%	98.9%
14	96%	95.5%	96.5%	98.7%	98.6%	98.9%
15	95.9%	95.4%	96.4%	98.6%	98.5%	98.8%
16	95.8%	95.3%	96.3%	98.6%	98.4%	98.8%
17	95.7%	95.2%	96.3%	98.5%	98.2%	98.7%
18	95.6%	95.1%	96.2%	98.4%	98.1%	98.7%
19	95.5%	94.9%	96.1%	98.2%	97.9%	98.6%
20	95.4%	94.8%	96%	98.1%	97.7%	98.6%
21	95.3%	94.6%	95.9%	98%	97.5%	98.5%
22	95.1%	94.4%	95.8%	97.9%	97.3%	98.5%
23	95%	94.2%	95.7%	97.7%	97.1%	98.4%
24	94.8%	94%	95.6%	97.6%	97%	98.3%
25	94.7%	93.8%	95.5%	97.5%	96.8%	98.3%
26	94.5%	93.6%	95.4%	97.4%	96.6%	98.2%
27	94.3%	93.4%	95.3%	97.3%	96.4%	98.2%
28	94.1%	93.2%	95.1%	97.1%	96.2%	98.1%
29	94%	92.9%	95%	97%	96%	98%
30	93.8%	92.7%	94.9%	96.8%	95.8%	97.9%
31	93.6%	92.4%	94.7%	96.7%	95.6%	97.9%
32	93.3%	92.2%	94.6%	96.5%	95.3%	97.8%
33	93.1%	91.9%	94.4%	96.3%	95.1%	97.7%
34	92.9%	91.6%	94.2%	96.2%	94.8%	97.6%
35	92.6%	91.3%	94%	96%	94.5%	97.5%
36	92.4%	90.9%	93.8%	95.7%	94.2%	97.4%
37	92.1%	90.6%	93.6%	95.5%	93.8%	97.2%
38	91.8%	90.2%	93.4%	95.2%	93.5%	97.1%
39	91.4%	89.8%	93.1%	95%	93.1%	97%
40	91.1%	89.4%	92.9%	94.7%	92.6%	96.8%
41	90.7%	89%	92.6%	94.3%	92.1%	96.6%
42	90.4%	88.5%	92.3%	94%	91.6%	96.4%
43	89.9%	88%	92%	93.6%	91.1%	96.2%
44	89.5%	87.5%	91.7%	93.2%	90.5%	96%
45	89%	86.9%	91.3%	92.8%	90%	95.8%
46	88.5%	86.3%	91%	92.4%	89.4%	95.6%
47	88%	85.7%	90.6%	91.9%	88.7%	95.3%
48	87.5%	85%	90.1%	91.5%	88.1%	95%
49	86.8%	84.3%	89.7%	91%	87.4%	94.7%
50	86.2%	83.5%	89.2%	90.5%	86.8%	94.4%
51	85.5%	82.7%	88.6%	90%	86.1%	94.1%
52	84.8%	81.8%	88.1%	89.5%	85.3%	93.8%
53	84%	80.9%	87.5%	88.9%	84.6%	93.4%
54	83.1%	79.9%	86.8%	88.3%	83.8%	93%
55	82.2%	78.8%	86.1%	87.7%	83%	92.6%
56	81.3%	77.7%	85.3%	87.1%	82.2%	92.2%
57	80.3%	76.5%	84.6%	86.5%	81.3%	91.7%
58	79.2%	75.3%	83.7%	85.8%	80.4%	91.3%
59	78.1%	73.9%	82.8%	85.1%	79.5%	90.8%
60	76.9%	72.5%	81.8%	84.3%	78.5%	90.3%
61	75.6%	71%	80.7%	83.5%	77.5%	89.7%
62	74.2%	69.4%	79.6%	82.7%	76.4%	89.1%
63	72.7%	67.7%	78.3%	81.9%	75.3%	88.6%
64	71.1%	66%	77%	81%	74.1%	87.9%
65	69.4%	64.1%	75.5%	80%	72.9%	87.3%
66	67.6%	62.1%	73.9%	79%	71.7%	86.6%
67	65.8%	60%	72.3%	78%	70.4%	85.8%
68	63.8%	57.9%	70.5%	76.9%	69%	85%
69	61.7%	55.7%	68.6%	75.6%	67.4%	84.1%
70	59.6%	53.4%	66.6%	74.3%	65.8%	83.1%
71	57.3%	51%	64.4%	72.9%	64%	81.9%
72	54.9%	48.6%	62.1%	71.3%	62.2%	80.7%
73	52.4%	46.1%	59.6%	69.7%	60.3%	79.4%
74	49.8%	43.5%	57.1%	68%	58.3%	78%
75	47.2%	40.8%	54.3%	66.2%	56.3%	76.5%
76	44.4%	38.2%	51.5%	64.3%	54.1%	74.8%
77	41.6%	35.5%	48.5%	62.2%	51.8%	72.9%
78	38.8%	32.8%	45.5%	59.9%	49.4%	70.8%
79	35.9%	30.1%	42.4%	57.5%	46.9%	68.6%
80	32.9%	27.4%	39.2%	55%	44.3%	66.1%
81	30%	24.8%	36%	52.4%	41.6%	63.5%
82	27.2%	22.2%	32.8%	49.6%	38.9%	60.7%
83	24.3%	19.7%	29.5%	46.7%	36.2%	57.6%
84	21.5%	17.2%	26.3%	43.7%	33.4%	54.5%
85	18.8%	14.9%	23.2%	40.6%	30.6%	51.1%
86	16.2%	12.7%	20.2%	37.5%	27.8%	47.6%
87	13.8%	10.7%	17.3%	34.3%	25.1%	43.9%
88	11.6%	8.92%	14.7%	31.1%	22.4%	40.2%
89	9.62%	7.3%	12.2%	28%	19.9%	36.4%
90	7.85%	5.89%	10.1%	24.8%	17.4%	32.7%
91	6.28%	4.66%	8.12%	21.8%	15%	29%
92	4.96%	3.63%	6.46%	19%	12.8%	25.4%
93	3.83%	2.77%	5.04%	16.3%	10.8%	21.9%
94	2.9%	2.07%	3.85%	13.8%	9.02%	18.7%
95	2.15%	1.51%	2.88%	11.5%	7.39%	15.7%
96	1.56%	1.08%	2.1%	9.37%	5.96%	13%
97	1.1%	0.76%	1.5%	7.52%	4.71%	10.5%
98	0.77%	0.52%	1.05%	5.9%	3.65%	8.27%
99	0.52%	0.35%	0.71%	4.53%	2.77%	6.38%
100	0.34%	0.23%	0.47%	3.38%	2.05%	4.79%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 2.52% in the birth year in Gabon and 0.76% in Thailand, 0.22% vs 0.16% at age 30, 1.71% vs 0.93% at 60, and 8.89% vs 4.83% 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	2.52%	2.86%	2.18%	0.76%	0.84%	0.67%
1	0.4%	0.42%	0.37%	0.06%	0.06%	0.07%
2	0.25%	0.27%	0.23%	0.05%	0.05%	0.05%
3	0.17%	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%	0.07%	0.03%	0.04%	0.03%
7	0.07%	0.08%	0.06%	0.03%	0.04%	0.03%
8	0.06%	0.07%	0.06%	0.03%	0.04%	0.02%
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%	0.04%	0.05%	0.03%
13	0.06%	0.07%	0.05%	0.05%	0.07%	0.04%
14	0.07%	0.08%	0.06%	0.07%	0.09%	0.04%
15	0.08%	0.1%	0.06%	0.08%	0.11%	0.05%
16	0.09%	0.11%	0.07%	0.1%	0.14%	0.05%
17	0.11%	0.13%	0.08%	0.11%	0.17%	0.05%
18	0.12%	0.15%	0.09%	0.12%	0.19%	0.06%
19	0.13%	0.17%	0.09%	0.13%	0.2%	0.06%
20	0.14%	0.18%	0.1%	0.13%	0.19%	0.06%
21	0.15%	0.19%	0.1%	0.12%	0.19%	0.06%
22	0.16%	0.2%	0.11%	0.12%	0.18%	0.06%
23	0.16%	0.21%	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%	0.12%	0.13%	0.19%	0.06%
26	0.18%	0.23%	0.13%	0.13%	0.2%	0.07%
27	0.19%	0.24%	0.14%	0.14%	0.21%	0.07%
28	0.2%	0.25%	0.14%	0.15%	0.22%	0.07%
29	0.21%	0.26%	0.15%	0.15%	0.23%	0.08%
30	0.22%	0.28%	0.16%	0.16%	0.24%	0.08%
31	0.23%	0.29%	0.16%	0.17%	0.25%	0.08%
32	0.24%	0.31%	0.18%	0.18%	0.26%	0.09%
33	0.26%	0.32%	0.19%	0.19%	0.28%	0.1%
34	0.27%	0.34%	0.2%	0.21%	0.3%	0.11%
35	0.29%	0.36%	0.21%	0.23%	0.33%	0.12%
36	0.31%	0.38%	0.23%	0.25%	0.36%	0.13%
37	0.33%	0.41%	0.24%	0.27%	0.4%	0.14%
38	0.35%	0.44%	0.26%	0.3%	0.44%	0.16%
39	0.37%	0.46%	0.27%	0.32%	0.48%	0.17%
40	0.4%	0.5%	0.3%	0.35%	0.52%	0.18%
41	0.42%	0.52%	0.31%	0.37%	0.55%	0.19%
42	0.46%	0.56%	0.34%	0.39%	0.59%	0.21%
43	0.49%	0.6%	0.36%	0.42%	0.62%	0.22%
44	0.52%	0.64%	0.38%	0.44%	0.64%	0.23%
45	0.56%	0.69%	0.41%	0.45%	0.67%	0.25%
46	0.59%	0.73%	0.44%	0.47%	0.69%	0.27%
47	0.64%	0.79%	0.47%	0.49%	0.72%	0.28%
48	0.69%	0.85%	0.51%	0.52%	0.74%	0.3%
49	0.74%	0.92%	0.55%	0.54%	0.78%	0.32%
50	0.81%	1%	0.6%	0.57%	0.81%	0.35%
51	0.86%	1.06%	0.64%	0.6%	0.84%	0.37%
52	0.94%	1.15%	0.7%	0.62%	0.88%	0.39%
53	1%	1.23%	0.75%	0.65%	0.91%	0.41%
54	1.07%	1.32%	0.81%	0.68%	0.95%	0.44%
55	1.15%	1.42%	0.87%	0.71%	1%	0.46%
56	1.24%	1.52%	0.94%	0.75%	1.05%	0.48%
57	1.33%	1.63%	1.01%	0.79%	1.11%	0.51%
58	1.44%	1.76%	1.1%	0.83%	1.17%	0.54%
59	1.55%	1.9%	1.19%	0.88%	1.23%	0.57%
60	1.71%	2.08%	1.33%	0.93%	1.3%	0.6%
61	1.83%	2.23%	1.42%	0.98%	1.37%	0.63%
62	2.01%	2.44%	1.58%	1.03%	1.45%	0.67%
63	2.18%	2.64%	1.73%	1.1%	1.54%	0.71%
64	2.37%	2.86%	1.89%	1.16%	1.62%	0.75%
65	2.58%	3.1%	2.08%	1.21%	1.7%	0.79%
66	2.76%	3.3%	2.24%	1.29%	1.82%	0.85%
67	2.98%	3.54%	2.45%	1.45%	2.03%	0.96%
68	3.24%	3.82%	2.7%	1.62%	2.26%	1.09%
69	3.49%	4.1%	2.94%	1.79%	2.47%	1.22%
70	3.85%	4.47%	3.3%	1.94%	2.66%	1.35%
71	4.12%	4.76%	3.54%	2.09%	2.84%	1.47%
72	4.54%	5.2%	3.97%	2.25%	3.04%	1.62%
73	4.92%	5.61%	4.34%	2.44%	3.27%	1.78%
74	5.36%	6.06%	4.77%	2.67%	3.54%	1.98%
75	5.84%	6.55%	5.24%	2.94%	3.86%	2.23%
76	6.33%	7.06%	5.73%	3.25%	4.23%	2.51%
77	6.85%	7.6%	6.23%	3.6%	4.64%	2.83%
78	7.5%	8.26%	6.88%	3.99%	5.07%	3.18%
79	8.1%	8.88%	7.47%	4.39%	5.53%	3.57%
80	8.89%	9.66%	8.28%	4.83%	6.02%	3.99%
81	9.55%	10.4%	8.9%	5.31%	6.53%	4.46%
82	10.6%	11.4%	9.92%	5.83%	7.08%	4.97%
83	11.5%	12.4%	10.9%	6.39%	7.67%	5.54%
84	12.6%	13.5%	11.9%	7.03%	8.32%	6.18%
85	13.6%	14.5%	13%	7.72%	9.03%	6.89%
86	14.8%	15.7%	14.2%	8.48%	9.79%	7.66%
87	15.9%	16.9%	15.3%	9.3%	10.6%	8.49%
88	17.2%	18.1%	16.5%	10.2%	11.5%	9.39%
89	18.4%	19.4%	17.7%	11.1%	12.5%	10.3%
90	19.9%	20.9%	19.3%	12.1%	13.5%	11.3%
91	21.1%	22.1%	20.4%	13.2%	14.6%	12.4%
92	22.7%	23.7%	22.1%	14.3%	15.7%	13.5%
93	24.2%	25.3%	23.6%	15.4%	16.8%	14.7%
94	25.9%	26.9%	25.3%	16.7%	18%	16%
95	27.5%	28.4%	27%	18.2%	19.4%	17.5%
96	29.1%	30%	28.7%	19.8%	20.9%	19.2%
97	30.7%	31.5%	30.2%	21.5%	22.5%	21%
98	32.2%	32.9%	31.8%	23.3%	24.2%	22.9%
99	34.1%	34.7%	33.7%	25.3%	26%	24.9%
100	35.5%	36.1%	35.2%	26.9%	27.5%	26.6%

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 73.9 in Gabon and 81.8 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	2,523	2,857	2,184	761	845	672
1	388	410	366	63.5	61.6	65.5
2	240.3	257.8	222.4	53.4	54.3	52.5
3	167.3	181.2	153.2	45.5	48.1	42.6
4	122.6	133.2	111.7	39.3	43.1	35.2
5	94.7	103.4	85.8	34.7	39.1	30
6	79.6	88.2	70.8	31.6	36.3	26.6
7	69.5	78.2	60.7	30.1	34.9	25
8	61.9	70.2	53.3	29.9	34.8	24.6
9	56.9	65	48.7	31	36.2	25.4
10	54.5	62.4	46.4	33.3	39.2	27.1
11	54.2	62.5	45.8	37.4	44.7	29.7
12	56	64.8	47.1	43.9	53.9	33.2
13	60.2	69.8	50.3	53.1	67.8	37.5
14	67.1	78.9	55.1	65.5	87.5	42.1
15	76.8	91.4	61.9	80.9	113.1	46.8
16	89	108.3	69.4	97.5	141.4	50.9
17	101.7	126.8	76.2	112.5	167.5	54.1
18	115.2	146.9	82.9	122.2	184.7	56
19	125.2	161.1	88.7	125.9	191.1	56.9
20	134.1	173.6	93.9	124.3	188	57.1
21	141.6	184.3	98	120.7	181.2	57
22	148.6	193.5	102.6	117.6	175	57.1
23	154.8	201.1	107.5	116.8	172.5	57.8
24	160.6	207.4	112.6	118.6	174.6	59.2
25	166.1	213.6	117.4	123.1	181	61.3
26	172.1	219.7	123	129.3	190.3	63.8
27	178.9	227.1	129.1	136	200.7	66.8
28	186.5	235.5	135.6	142.7	210.9	70.1
29	194.7	244.8	142.2	149.3	220.5	73.8
30	205.2	256.8	150.6	155.8	229.6	78
31	212.9	266.2	156	163.2	239.6	83.1
32	226.3	281.5	166.8	172.3	252	89.3
33	238.7	295.8	176.3	183.9	267.9	96.9
34	252.7	312	186.9	198.7	288.3	106
35	268.9	331	199.6	216.6	313	116.5
36	284.7	349	212	237.3	342	128
37	302	370	224.5	259.7	375	140.2
38	322	393	241.3	283	409	152.4
39	342	416	256	307	444	164.3
40	366	444	275.8	329	477	175.9
41	384	466	288.7	350	509	187.4
42	413	499	313	370	537	198.9
43	436	527	330	389	561	211
44	464	559	351	406	582	224
45	497	599	376	422	600	238
46	527	634	398	438	617	253.3
47	563	677	426	455	636	270.1
48	604	725	461	474	656	288.2
49	647	774	494	494	678	307
50	700	835	539	515	702	327
51	736	878	566	537	727	347
52	794	942	618	559	751	367
53	841	996	655	580	773	386
54	894	1,056	701	601	797	405
55	946	1,115	746	627	829	425
56	1,005	1,179	799	656	867	446
57	1,064	1,246	851	686	904	468
58	1,139	1,326	920	716	941	490
59	1,212	1,406	985	747	979	514
60	1,315	1,512	1,086	782	1,023	541
61	1,381	1,584	1,146	818	1,065	569
62	1,492	1,695	1,258	852	1,105	595
63	1,585	1,788	1,352	897	1,156	630
64	1,684	1,884	1,455	937	1,204	663
65	1,791	1,985	1,570	967	1,237	687
66	1,865	2,047	1,658	1,023	1,302	734
67	1,961	2,128	1,773	1,133	1,427	826
68	2,066	2,212	1,903	1,249	1,556	929
69	2,157	2,285	2,016	1,352	1,664	1,027
70	2,295	2,386	2,198	1,439	1,748	1,117
71	2,358	2,431	2,281	1,520	1,820	1,207
72	2,495	2,529	2,463	1,605	1,892	1,304
73	2,582	2,584	2,586	1,702	1,973	1,416
74	2,673	2,636	2,721	1,815	2,067	1,548
75	2,753	2,676	2,848	1,946	2,174	1,701
76	2,813	2,696	2,948	2,090	2,289	1,874
77	2,849	2,696	3,023	2,240	2,402	2,060
78	2,906	2,706	3,132	2,389	2,506	2,253
79	2,902	2,670	3,164	2,529	2,595	2,448
80	2,928	2,646	3,246	2,658	2,666	2,639
81	2,867	2,571	3,199	2,779	2,719	2,829
82	2,869	2,531	3,250	2,888	2,755	3,014
83	2,796	2,433	3,206	2,986	2,775	3,193
84	2,707	2,321	3,143	3,072	2,778	3,364
85	2,562	2,164	3,011	3,139	2,763	3,517
86	2,402	2,001	2,855	3,180	2,726	3,642
87	2,203	1,813	2,644	3,193	2,668	3,731
88	1,996	1,618	2,422	3,171	2,586	3,775
89	1,772	1,417	2,172	3,107	2,476	3,762
90	1,565	1,228	1,945	3,009	2,344	3,702
91	1,324	1,031	1,657	2,878	2,190	3,596
92	1,126	861	1,426	2,704	2,011	3,427
93	929	699	1,189	2,505	1,819	3,222
94	750	555	972	2,298	1,626	2,999
95	593	430	777	2,082	1,435	2,757
96	454	324	602	1,855	1,247	2,491
97	339	238.3	453	1,615	1,060	2,196
98	246.3	170.7	332	1,374	882	1,890
99	176.9	120.7	240.4	1,143	719	1,589
100	50	25.2	77.9	906	530	1,303

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