Life Expectancy in Gabon vs South Sudan (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 South Sudan: 72.7 years vs 69.1 at 30, 79.6 vs 78 at 65, 86.7 vs 85.6 at 80 — significantly higher than the 68.7 vs 57.9 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 South Sudan.

Table

Current age, years	Total life expectancy, years
	Gabon			South Sudan
	Average	Male	Female	Average	Male	Female
0	68.7	66.2	71.4	57.9	54.9	60.9
1	70.5	68.2	73.1	61.7	58.8	64.6
2	70.8	68.5	73.4	62.4	59.4	65.4
3	71	68.7	73.5	63	60	66
4	71.1	68.8	73.7	63.5	60.5	66.5
5	71.2	68.9	73.7	64	61	66.9
6	71.3	69	73.8	64.3	61.4	67.3
7	71.3	69	73.9	64.7	61.7	67.5
8	71.4	69.1	73.9	64.9	62	67.8
9	71.4	69.1	73.9	65.1	62.3	67.9
10	71.4	69.2	74	65.3	62.5	68.1
11	71.5	69.2	74	65.5	62.7	68.2
12	71.5	69.2	74	65.6	62.9	68.4
13	71.5	69.3	74.1	65.8	63	68.5
14	71.6	69.3	74.1	65.9	63.2	68.6
15	71.6	69.4	74.1	66.1	63.3	68.7
16	71.7	69.4	74.2	66.2	63.5	68.9
17	71.7	69.5	74.2	66.4	63.7	69
18	71.8	69.6	74.3	66.5	63.9	69.1
19	71.8	69.6	74.3	66.7	64.1	69.3
20	71.9	69.7	74.4	66.9	64.3	69.4
21	72	69.8	74.4	67.1	64.6	69.6
22	72.1	69.9	74.5	67.3	64.8	69.8
23	72.1	70	74.5	67.6	65.1	69.9
24	72.2	70.1	74.6	67.8	65.4	70.1
25	72.3	70.2	74.6	68	65.6	70.2
26	72.4	70.3	74.7	68.2	65.9	70.4
27	72.5	70.4	74.8	68.4	66.2	70.6
28	72.6	70.5	74.8	68.7	66.4	70.7
29	72.6	70.6	74.9	68.9	66.7	70.9
30	72.7	70.7	75	69.1	66.9	71.1
31	72.8	70.9	75	69.3	67.2	71.3
32	72.9	71	75.1	69.5	67.4	71.4
33	73	71.1	75.2	69.7	67.7	71.6
34	73.1	71.2	75.3	69.9	67.9	71.8
35	73.2	71.3	75.4	70.1	68.1	72
36	73.3	71.5	75.4	70.4	68.4	72.2
37	73.5	71.6	75.5	70.6	68.6	72.3
38	73.6	71.8	75.6	70.8	68.9	72.5
39	73.7	71.9	75.7	71	69.1	72.7
40	73.8	72.1	75.8	71.2	69.3	72.9
41	74	72.2	75.9	71.4	69.6	73.1
42	74.1	72.4	76	71.6	69.9	73.3
43	74.3	72.5	76.2	71.9	70.1	73.5
44	74.4	72.7	76.3	72.1	70.4	73.7
45	74.6	72.9	76.4	72.3	70.6	73.8
46	74.7	73.1	76.5	72.6	70.9	74
47	74.9	73.3	76.7	72.8	71.2	74.2
48	75.1	73.5	76.8	73	71.4	74.4
49	75.3	73.7	76.9	73.3	71.7	74.6
50	75.5	73.9	77.1	73.5	72	74.8
51	75.7	74.2	77.3	73.7	72.3	75
52	75.9	74.4	77.4	74	72.6	75.2
53	76.1	74.7	77.6	74.3	72.9	75.5
54	76.3	75	77.8	74.5	73.2	75.7
55	76.6	75.2	78	74.8	73.5	75.9
56	76.8	75.5	78.2	75.1	73.8	76.2
57	77.1	75.8	78.4	75.4	74.1	76.4
58	77.3	76.1	78.6	75.7	74.5	76.7
59	77.6	76.4	78.8	76	74.8	76.9
60	77.9	76.8	79.1	76.3	75.1	77.2
61	78.2	77.1	79.3	76.6	75.5	77.5
62	78.5	77.5	79.6	76.9	75.9	77.8
63	78.9	77.9	79.9	77.3	76.3	78.1
64	79.2	78.2	80.1	77.6	76.7	78.4
65	79.6	78.7	80.4	78	77.1	78.7
66	79.9	79.1	80.8	78.4	77.5	79.1
67	80.3	79.5	81.1	78.8	77.9	79.5
68	80.7	80	81.4	79.2	78.4	79.8
69	81.1	80.4	81.8	79.6	78.9	80.2
70	81.6	80.9	82.2	80.1	79.3	80.7
71	82	81.4	82.6	80.6	79.8	81.1
72	82.5	81.9	83	81.1	80.4	81.6
73	82.9	82.4	83.4	81.6	80.9	82
74	83.4	82.9	83.9	82.1	81.5	82.5
75	83.9	83.5	84.3	82.6	82	83.1
76	84.5	84	84.8	83.2	82.6	83.6
77	85	84.6	85.4	83.8	83.2	84.2
78	85.6	85.2	85.9	84.4	83.8	84.7
79	86.1	85.8	86.4	85	84.5	85.3
80	86.7	86.4	87	85.6	85.1	85.9
81	87.3	87	87.6	86.3	85.8	86.6
82	88	87.7	88.2	87	86.5	87.2
83	88.6	88.4	88.8	87.7	87.2	87.9
84	89.3	89	89.4	88.4	87.9	88.6
85	90	89.8	90.1	89.1	88.7	89.4
86	90.7	90.5	90.8	89.9	89.4	90.1
87	91.4	91.2	91.5	90.6	90.2	90.8
88	92.1	92	92.3	91.4	91	91.6
89	92.9	92.8	93	92.2	91.8	92.4
90	93.7	93.5	93.8	93	92.6	93.2
91	94.5	94.3	94.6	93.8	93.4	94
92	95.3	95.1	95.3	94.7	94.2	94.8
93	96.1	96	96.1	95.5	95.1	95.6
94	96.9	96.8	97	96.3	96	96.4
95	97.7	97.7	97.8	97.2	96.9	97.3
96	98.6	98.5	98.6	98	97.8	98.1
97	99.5	99.4	99.5	98.9	98.7	99
98	100.3	100.3	100.4	99.8	99.6	99.9
99	101.2	101.2	101.3	100.7	100.6	100.8
100	102.1	102	102.2	101.7	101.6	101.8

Odds of living to age in Gabon vs South Sudan

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 76.6% in Gabon and 61% in South Sudan are expected to survive till at least 60 years old, 59.3% and 45% will live to 70 years or older, 32.7% and 21.3% to 80+ years, and 7.73% and 3.36% 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			South Sudan
	Average	Male	Female	Average	Male	Female
1	97.4%	97.1%	97.7%	93.7%	93.3%	94.2%
2	97%	96.7%	97.4%	92.6%	92.3%	93%
3	96.8%	96.4%	97.1%	91.7%	91.3%	92.1%
4	96.6%	96.2%	97%	90.9%	90.5%	91.4%
5	96.5%	96.1%	96.9%	90.3%	89.8%	90.8%
6	96.4%	96%	96.8%	89.7%	89.1%	90.3%
7	96.3%	95.9%	96.7%	89.2%	88.6%	89.9%
8	96.2%	95.8%	96.6%	88.8%	88.1%	89.6%
9	96.2%	95.7%	96.6%	88.5%	87.7%	89.3%
10	96.1%	95.7%	96.5%	88.2%	87.3%	89%
11	96%	95.6%	96.5%	87.9%	87%	88.8%
12	96%	95.5%	96.4%	87.7%	86.7%	88.6%
13	95.9%	95.5%	96.4%	87.4%	86.4%	88.4%
14	95.9%	95.4%	96.3%	87.2%	86.2%	88.2%
15	95.8%	95.3%	96.3%	87%	85.9%	88%
16	95.7%	95.2%	96.2%	86.7%	85.6%	87.8%
17	95.6%	95.1%	96.1%	86.4%	85.3%	87.6%
18	95.5%	95%	96.1%	86.1%	84.9%	87.4%
19	95.4%	94.8%	96%	85.8%	84.5%	87.1%
20	95.3%	94.7%	95.9%	85.4%	84.1%	86.8%
21	95.1%	94.5%	95.8%	85.1%	83.6%	86.6%
22	95%	94.3%	95.7%	84.7%	83.1%	86.3%
23	94.9%	94.1%	95.6%	84.2%	82.6%	86%
24	94.7%	93.9%	95.5%	83.8%	82%	85.7%
25	94.5%	93.7%	95.4%	83.4%	81.5%	85.4%
26	94.4%	93.5%	95.2%	83%	81%	85.1%
27	94.2%	93.3%	95.1%	82.5%	80.4%	84.7%
28	94%	93%	95%	82.1%	79.9%	84.4%
29	93.8%	92.8%	94.8%	81.7%	79.4%	84%
30	93.6%	92.6%	94.7%	81.2%	78.9%	83.7%
31	93.4%	92.3%	94.6%	80.8%	78.3%	83.3%
32	93.2%	92%	94.4%	80.3%	77.8%	83%
33	93%	91.7%	94.2%	79.9%	77.3%	82.6%
34	92.7%	91.4%	94%	79.4%	76.7%	82.2%
35	92.5%	91.1%	93.9%	78.9%	76.2%	81.8%
36	92.2%	90.8%	93.7%	78.5%	75.6%	81.4%
37	91.9%	90.4%	93.4%	78%	75%	81%
38	91.6%	90.1%	93.2%	77.5%	74.5%	80.6%
39	91.3%	89.7%	93%	77%	73.9%	80.2%
40	90.9%	89.2%	92.7%	76.5%	73.3%	79.7%
41	90.6%	88.8%	92.4%	75.9%	72.6%	79.3%
42	90.2%	88.3%	92.1%	75.3%	72%	78.8%
43	89.7%	87.8%	91.8%	74.8%	71.3%	78.3%
44	89.3%	87.3%	91.5%	74.2%	70.6%	77.8%
45	88.8%	86.7%	91.1%	73.6%	69.9%	77.3%
46	88.3%	86.1%	90.7%	72.9%	69.2%	76.7%
47	87.8%	85.5%	90.3%	72.3%	68.5%	76.2%
48	87.2%	84.8%	89.9%	71.7%	67.7%	75.7%
49	86.6%	84.1%	89.4%	71%	66.9%	75.1%
50	86%	83.3%	88.9%	70.3%	66.1%	74.5%
51	85.3%	82.5%	88.4%	69.5%	65.2%	73.9%
52	84.5%	81.6%	87.8%	68.7%	64.3%	73.2%
53	83.7%	80.6%	87.2%	67.9%	63.3%	72.5%
54	82.9%	79.6%	86.5%	67%	62.3%	71.7%
55	82%	78.6%	85.8%	66.1%	61.3%	70.9%
56	81%	77.4%	85.1%	65.2%	60.2%	70.1%
57	80%	76.3%	84.3%	64.2%	59.1%	69.3%
58	79%	75%	83.4%	63.2%	58%	68.4%
59	77.8%	73.7%	82.5%	62.1%	56.8%	67.4%
60	76.6%	72.3%	81.5%	61%	55.5%	66.4%
61	75.3%	70.7%	80.4%	59.7%	54.2%	65.3%
62	73.9%	69.1%	79.3%	58.5%	52.8%	64.1%
63	72.4%	67.4%	78%	57.1%	51.3%	62.9%
64	70.8%	65.7%	76.6%	55.6%	49.7%	61.5%
65	69.1%	63.8%	75.2%	54.1%	48.1%	60%
66	67.3%	61.8%	73.6%	52.4%	46.4%	58.5%
67	65.4%	59.7%	71.9%	50.7%	44.6%	56.8%
68	63.5%	57.6%	70.2%	48.9%	42.8%	55%
69	61.4%	55.4%	68.3%	47%	40.8%	53.1%
70	59.3%	53.1%	66.2%	45%	38.8%	51.1%
71	57%	50.7%	64%	42.9%	36.7%	49%
72	54.6%	48.3%	61.8%	40.7%	34.6%	46.8%
73	52.1%	45.8%	59.3%	38.4%	32.4%	44.4%
74	49.5%	43.2%	56.7%	36%	30.1%	41.9%
75	46.9%	40.5%	54%	33.6%	27.8%	39.4%
76	44.1%	37.9%	51.1%	31.2%	25.5%	36.8%
77	41.3%	35.2%	48.2%	28.7%	23.2%	34.1%
78	38.5%	32.5%	45.2%	26.2%	20.9%	31.4%
79	35.6%	29.8%	42%	23.7%	18.7%	28.7%
80	32.7%	27.1%	38.9%	21.3%	16.5%	26%
81	29.7%	24.5%	35.7%	18.9%	14.4%	23.2%
82	26.9%	22%	32.5%	16.5%	12.4%	20.6%
83	24%	19.4%	29.2%	14.3%	10.6%	18%
84	21.3%	17%	26%	12.2%	8.84%	15.5%
85	18.6%	14.7%	22.9%	10.3%	7.28%	13.2%
86	16%	12.6%	19.9%	8.5%	5.9%	11.1%
87	13.6%	10.6%	17.1%	6.93%	4.68%	9.14%
88	11.5%	8.8%	14.5%	5.55%	3.63%	7.43%
89	9.49%	7.2%	12.1%	4.36%	2.75%	5.95%
90	7.73%	5.8%	9.92%	3.36%	2.02%	4.68%
91	6.19%	4.59%	8%	2.53%	1.45%	3.6%
92	4.88%	3.57%	6.36%	1.87%	1%	2.72%
93	3.77%	2.72%	4.95%	1.34%	0.67%	2%
94	2.85%	2.03%	3.78%	0.94%	0.43%	1.43%
95	2.11%	1.49%	2.82%	0.64%	0.27%	0.99%
96	1.53%	1.06%	2.06%	0.43%	0.16%	0.67%
97	1.08%	0.74%	1.47%	0.28%	0.09%	0.43%
98	0.75%	0.51%	1.02%	0.17%	0.05%	0.27%
99	0.51%	0.34%	0.7%	0.1%	0.03%	0.17%
100	0.34%	0.22%	0.46%	0.05%	0.02%	0.1%

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 6.27% in South Sudan, 0.22% vs 0.55% at age 30, 1.72% vs 1.98% at 60, and 8.93% vs 11.3% at 80.

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

Table

Age	Probability of dying
	Gabon			South Sudan
	Average	Male	Female	Average	Male	Female
0	2.59%	2.92%	2.26%	6.27%	6.72%	5.81%
1	0.41%	0.43%	0.39%	1.17%	1.11%	1.23%
2	0.25%	0.27%	0.24%	1%	1%	0.99%
3	0.18%	0.19%	0.16%	0.86%	0.9%	0.8%
4	0.13%	0.14%	0.12%	0.73%	0.81%	0.65%
5	0.1%	0.11%	0.09%	0.63%	0.72%	0.53%
6	0.08%	0.09%	0.08%	0.54%	0.63%	0.44%
7	0.07%	0.08%	0.06%	0.46%	0.55%	0.37%
8	0.07%	0.07%	0.06%	0.39%	0.47%	0.31%
9	0.06%	0.07%	0.05%	0.34%	0.41%	0.27%
10	0.06%	0.07%	0.05%	0.3%	0.36%	0.24%
11	0.06%	0.07%	0.05%	0.27%	0.32%	0.23%
12	0.06%	0.07%	0.05%	0.26%	0.31%	0.22%
13	0.06%	0.07%	0.05%	0.26%	0.3%	0.22%
14	0.07%	0.08%	0.06%	0.27%	0.32%	0.23%
15	0.08%	0.1%	0.07%	0.29%	0.34%	0.24%
16	0.09%	0.12%	0.07%	0.32%	0.38%	0.26%
17	0.11%	0.14%	0.08%	0.35%	0.42%	0.27%
18	0.12%	0.16%	0.09%	0.38%	0.47%	0.29%
19	0.13%	0.17%	0.09%	0.42%	0.52%	0.31%
20	0.14%	0.19%	0.1%	0.45%	0.57%	0.32%
21	0.15%	0.2%	0.1%	0.47%	0.61%	0.33%
22	0.16%	0.21%	0.11%	0.49%	0.64%	0.34%
23	0.17%	0.22%	0.11%	0.5%	0.65%	0.35%
24	0.17%	0.22%	0.12%	0.51%	0.66%	0.36%
25	0.18%	0.23%	0.13%	0.51%	0.66%	0.37%
26	0.19%	0.24%	0.13%	0.52%	0.65%	0.38%
27	0.19%	0.25%	0.14%	0.53%	0.65%	0.4%
28	0.2%	0.26%	0.15%	0.53%	0.66%	0.41%
29	0.21%	0.27%	0.15%	0.54%	0.66%	0.42%
30	0.22%	0.28%	0.16%	0.55%	0.67%	0.43%
31	0.23%	0.29%	0.17%	0.56%	0.68%	0.44%
32	0.25%	0.31%	0.18%	0.57%	0.69%	0.45%
33	0.26%	0.33%	0.19%	0.58%	0.71%	0.46%
34	0.28%	0.35%	0.2%	0.59%	0.72%	0.47%
35	0.3%	0.37%	0.22%	0.6%	0.73%	0.48%
36	0.31%	0.39%	0.23%	0.61%	0.75%	0.5%
37	0.33%	0.41%	0.24%	0.63%	0.77%	0.51%
38	0.36%	0.44%	0.26%	0.66%	0.79%	0.54%
39	0.38%	0.47%	0.28%	0.69%	0.82%	0.56%
40	0.41%	0.5%	0.3%	0.72%	0.86%	0.59%
41	0.43%	0.53%	0.32%	0.75%	0.89%	0.61%
42	0.46%	0.57%	0.34%	0.77%	0.93%	0.63%
43	0.49%	0.61%	0.36%	0.8%	0.96%	0.65%
44	0.52%	0.65%	0.39%	0.82%	0.99%	0.66%
45	0.56%	0.7%	0.42%	0.84%	1.03%	0.67%
46	0.6%	0.74%	0.44%	0.87%	1.07%	0.69%
47	0.65%	0.8%	0.48%	0.9%	1.11%	0.71%
48	0.7%	0.86%	0.52%	0.95%	1.17%	0.75%
49	0.75%	0.93%	0.56%	1.01%	1.25%	0.8%
50	0.82%	1.01%	0.61%	1.07%	1.33%	0.85%
51	0.87%	1.07%	0.65%	1.14%	1.41%	0.91%
52	0.95%	1.16%	0.71%	1.22%	1.5%	0.97%
53	1.01%	1.24%	0.76%	1.29%	1.58%	1.03%
54	1.08%	1.33%	0.82%	1.35%	1.66%	1.09%
55	1.16%	1.43%	0.88%	1.42%	1.74%	1.15%
56	1.25%	1.53%	0.95%	1.5%	1.83%	1.22%
57	1.34%	1.64%	1.02%	1.59%	1.93%	1.29%
58	1.45%	1.78%	1.11%	1.7%	2.06%	1.39%
59	1.56%	1.92%	1.2%	1.83%	2.22%	1.51%
60	1.72%	2.1%	1.34%	1.98%	2.4%	1.64%
61	1.84%	2.25%	1.43%	2.16%	2.6%	1.8%
62	2.03%	2.46%	1.59%	2.36%	2.81%	1.98%
63	2.2%	2.66%	1.74%	2.56%	3.05%	2.17%
64	2.39%	2.88%	1.91%	2.79%	3.29%	2.38%
65	2.6%	3.12%	2.1%	3.02%	3.55%	2.6%
66	2.78%	3.32%	2.26%	3.28%	3.83%	2.85%
67	3%	3.57%	2.47%	3.57%	4.15%	3.12%
68	3.26%	3.84%	2.72%	3.9%	4.51%	3.43%
69	3.52%	4.13%	2.96%	4.27%	4.92%	3.78%
70	3.88%	4.49%	3.32%	4.68%	5.37%	4.17%
71	4.14%	4.79%	3.57%	5.14%	5.87%	4.59%
72	4.57%	5.23%	3.99%	5.62%	6.42%	5.04%
73	4.95%	5.64%	4.36%	6.14%	7%	5.53%
74	5.39%	6.09%	4.8%	6.69%	7.62%	6.06%
75	5.87%	6.58%	5.27%	7.3%	8.28%	6.62%
76	6.37%	7.1%	5.76%	7.95%	9.01%	7.24%
77	6.88%	7.63%	6.26%	8.67%	9.8%	7.93%
78	7.54%	8.29%	6.92%	9.47%	10.7%	8.7%
79	8.13%	8.92%	7.51%	10.4%	11.7%	9.55%
80	8.93%	9.7%	8.32%	11.3%	12.7%	10.5%
81	9.59%	10.4%	8.94%	12.4%	13.8%	11.5%
82	10.6%	11.5%	9.96%	13.5%	15%	12.6%
83	11.6%	12.4%	10.9%	14.7%	16.3%	13.7%
84	12.7%	13.5%	12%	15.9%	17.6%	14.9%
85	13.7%	14.6%	13%	17.2%	19%	16.1%
86	14.9%	15.8%	14.2%	18.5%	20.6%	17.4%
87	16%	16.9%	15.3%	19.9%	22.4%	18.6%
88	17.2%	18.2%	16.6%	21.4%	24.3%	20%
89	18.5%	19.5%	17.8%	23%	26.4%	21.4%
90	20%	20.9%	19.4%	24.6%	28.6%	22.9%
91	21.1%	22.2%	20.5%	26.3%	30.8%	24.6%
92	22.8%	23.8%	22.1%	28%	33%	26.4%
93	24.3%	25.3%	23.7%	29.8%	35.2%	28.4%
94	25.9%	26.9%	25.3%	31.7%	37.5%	30.6%
95	27.6%	28.5%	27.1%	33.5%	39.8%	32.8%
96	29.2%	30%	28.7%	35.7%	41.9%	35%
97	30.7%	31.5%	30.3%	38.7%	43.8%	37.1%
98	32.2%	32.9%	31.8%	42.1%	45.5%	39.1%
99	34.1%	34.7%	33.8%	44.2%	47.1%	41%
100	35.6%	36.1%	35.3%	47.2%	49.1%	43.1%

Death rate by age in Gabon compared to South Sudan

In Gabon, the most common age of death is 80, compared to 0 in South Sudan. The median age of death is 73.8 in Gabon and 67.4 in South Sudan — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Gabon			South Sudan
	Total	Male	Female	Total	Male	Female
0	2,594	2,920	2,263	6,268	6,715	5,811
1	399	418	379	1,094	1,033	1,158
2	246.2	262.5	229.6	924	923	924
3	171.1	184	157.9	784	826	741
4	125.2	135.1	115.1	667	735	598
5	96.6	104.7	88.3	568	647	485
6	81.1	89.3	72.8	482	564	397
7	70.9	79.2	62.4	409	485	330
8	63.1	71.2	54.8	348	415	278.6
9	58	65.9	50	299.8	356	241.3
10	55.5	63.4	47.6	264.5	312	215.6
11	55.3	63.5	46.9	241.6	281.4	199.9
12	57.1	65.7	48.3	229.7	264.9	192.9
13	61.3	70.8	51.6	228.5	262	193.4
14	68.3	80	56.4	236.7	271.8	200.1
15	78.2	92.7	63.3	253	292.7	211.5
16	90.5	109.8	71	275.3	323	225.8
17	103.4	128.5	77.9	301	359	240.8
18	117	148.8	84.8	329	400	254.9
19	127.2	163.1	90.6	356	442	266.8
20	136.2	175.7	95.9	381	480	276.5
21	143.7	186.6	100	400	511	284.6
22	150.8	196	104.7	414	530	292
23	157.1	203.6	109.7	422	538	299.8
24	163	210	114.8	426	538	308
25	168.6	216.2	119.7	429	535	317
26	174.7	222.5	125.4	431	529	327
27	181.7	229.9	131.6	434	526	336
28	189.5	238.4	138.1	438	524	345
29	197.8	247.8	144.8	442	526	353
30	208.4	259.9	153.3	447	529	361
31	216.2	269.4	158.8	452	535	367
32	229.8	284.8	169.8	457	540	373
33	242.3	299.2	179.5	462	546	379
34	256.5	316	190.2	467	551	385
35	272.9	335	203	474	557	393
36	288.8	353	215.6	482	565	403
37	306	374	228.2	494	576	417
38	327	397	245.1	510	591	433
39	346	420	259.8	528	609	451
40	371	449	279.7	547	629	469
41	389	470	292.6	566	650	485
42	418	503	317	582	669	498
43	441	532	334	595	686	507
44	469	565	355	606	702	514
45	502	604	380	618	718	520
46	532	640	403	632	738	529
47	568	682	431	653	763	545
48	610	731	466	680	795	567
49	652	780	499	715	833	598
50	705	840	544	754	876	634
51	741	884	571	796	920	673
52	799	948	623	836	961	713
53	846	1,002	660	873	999	749
54	899	1,061	706	907	1,033	784
55	951	1,121	751	940	1,066	817
56	1,010	1,185	804	976	1,102	853
57	1,070	1,252	856	1,019	1,144	897
58	1,145	1,332	926	1,071	1,196	950
59	1,218	1,412	991	1,135	1,259	1,015
60	1,321	1,517	1,093	1,210	1,330	1,092
61	1,386	1,589	1,152	1,292	1,407	1,178
62	1,497	1,700	1,264	1,377	1,486	1,270
63	1,590	1,793	1,358	1,463	1,563	1,366
64	1,689	1,889	1,461	1,549	1,636	1,464
65	1,795	1,989	1,576	1,635	1,707	1,564
66	1,869	2,050	1,664	1,722	1,778	1,667
67	1,964	2,130	1,778	1,812	1,851	1,775
68	2,068	2,213	1,907	1,908	1,928	1,890
69	2,159	2,286	2,020	2,007	2,008	2,009
70	2,297	2,386	2,202	2,107	2,086	2,130
71	2,358	2,430	2,284	2,202	2,158	2,248
72	2,495	2,527	2,465	2,287	2,219	2,359
73	2,580	2,581	2,587	2,357	2,264	2,457
74	2,670	2,631	2,721	2,412	2,292	2,540
75	2,751	2,669	2,847	2,452	2,303	2,609
76	2,808	2,688	2,945	2,478	2,297	2,665
77	2,842	2,687	3,018	2,486	2,275	2,706
78	2,898	2,695	3,126	2,480	2,237	2,734
79	2,892	2,657	3,156	2,456	2,179	2,741
80	2,916	2,632	3,235	2,409	2,099	2,724
81	2,853	2,556	3,186	2,334	1,995	2,675
82	2,854	2,515	3,235	2,229	1,866	2,590
83	2,779	2,416	3,189	2,095	1,717	2,468
84	2,689	2,303	3,125	1,936	1,555	2,311
85	2,543	2,146	2,990	1,760	1,386	2,126
86	2,382	1,983	2,833	1,572	1,215	1,920
87	2,183	1,795	2,622	1,379	1,047	1,704
88	1,976	1,601	2,400	1,187	883	1,485
89	1,752	1,401	2,150	1,001	726	1,272
90	1,546	1,214	1,924	826	579	1,071
91	1,308	1,017	1,637	666	446	886
92	1,111	850	1,408	523	330	718
93	916	689	1,172	401	236	568
94	739	547	957	298.6	162.8	438
95	583	423	765	216	107.8	326
96	447	319	591	153	68.4	233.8
97	333	234.2	445	106.6	41.5	161.3
98	241.7	167.6	326	71.1	24.3	106.9
99	173.4	118.5	235.6	43.2	13.7	68.3
100	48.2	24.3	75.2	0	0	0

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 South Sudan 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 South Sudan: Side-by-Side Comparison

By topic vs comparisons:

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