Life Expectancy in Equatorial Guinea vs South Sudan (1950-2026)

Life expectancy by current age

Chart Table

Equatorial Guinea

Male

Female

South Sudan

Male

Female

1x

Current age, years	Total life expectancy, years
	Equatorial Guinea			South Sudan
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	101.7	101.6	101.8
99	101	100.9	101	100.7	100.6	100.8
98	100.1	100.1	100.1	99.8	99.6	99.9
97	99.2	99.2	99.2	98.9	98.7	99
96	98.3	98.3	98.3	98.1	97.8	98.1
95	97.4	97.4	97.4	97.2	96.9	97.3
94	96.5	96.5	96.5	96.3	96	96.4
93	95.7	95.6	95.7	95.5	95.1	95.6
92	94.8	94.8	94.9	94.7	94.2	94.8
91	94	94	94	93.8	93.4	94
90	93.2	93.1	93.2	93	92.6	93.2
89	92.4	92.3	92.4	92.2	91.8	92.4
88	91.6	91.5	91.6	91.4	91	91.6
87	90.8	90.7	90.9	90.6	90.2	90.8
86	90	89.9	90.1	89.9	89.4	90.1
85	89.3	89.2	89.4	89.1	88.7	89.4
84	88.6	88.4	88.7	88.4	87.9	88.6
83	87.9	87.7	88	87.7	87.2	87.9
82	87.2	87	87.3	87	86.5	87.2
81	86.5	86.3	86.6	86.3	85.8	86.6
80	85.8	85.6	86	85.6	85.1	85.9
79	85.2	85	85.4	85	84.5	85.3
78	84.6	84.4	84.8	84.4	83.8	84.7
77	84	83.7	84.2	83.8	83.2	84.2
76	83.4	83.1	83.7	83.2	82.6	83.6
75	82.9	82.6	83.1	82.6	82	83.1
74	82.3	82	82.6	82.1	81.5	82.6
73	81.8	81.4	82.1	81.6	80.9	82.1
72	81.3	80.9	81.6	81.1	80.4	81.6
71	80.8	80.4	81.2	80.6	79.8	81.1
70	80.3	79.9	80.7	80.1	79.3	80.7
69	79.9	79.4	80.3	79.7	78.9	80.2
68	79.5	79	79.9	79.2	78.4	79.8
67	79	78.6	79.5	78.8	77.9	79.5
66	78.7	78.1	79.2	78.4	77.5	79.1
65	78.3	77.7	78.8	78	77.1	78.7
64	77.9	77.3	78.5	77.6	76.7	78.4
63	77.5	76.9	78.1	77.3	76.3	78.1
62	77.2	76.6	77.8	76.9	75.9	77.8
61	76.9	76.2	77.6	76.6	75.5	77.5
60	76.6	75.9	77.3	76.3	75.1	77.2
59	76.3	75.6	77	76	74.8	76.9
58	76	75.2	76.8	75.7	74.5	76.7
57	75.7	74.9	76.5	75.4	74.1	76.4
56	75.4	74.7	76.3	75.1	73.8	76.2
55	75.2	74.4	76.1	74.8	73.5	76
54	74.9	74.1	75.9	74.5	73.2	75.7
53	74.7	73.8	75.6	74.3	72.9	75.5
52	74.5	73.6	75.4	74	72.6	75.3
51	74.2	73.3	75.3	73.8	72.3	75.1
50	74	73.1	75.1	73.5	72	74.8
49	73.8	72.9	74.9	73.3	71.7	74.6
48	73.6	72.7	74.7	73	71.4	74.4
47	73.4	72.5	74.6	72.8	71.2	74.3
46	73.2	72.3	74.4	72.6	70.9	74.1
45	73.1	72.1	74.2	72.4	70.6	73.9
44	72.9	71.9	74.1	72.1	70.4	73.7
43	72.7	71.7	73.9	71.9	70.1	73.5
42	72.5	71.5	73.8	71.7	69.9	73.3
41	72.4	71.4	73.7	71.5	69.6	73.1
40	72.2	71.2	73.5	71.2	69.4	72.9
39	72.1	71	73.4	71	69.1	72.7
38	72	70.9	73.3	70.8	68.9	72.5
37	71.8	70.7	73.2	70.6	68.6	72.4
36	71.7	70.6	73	70.4	68.4	72.2
35	71.6	70.4	72.9	70.2	68.2	72
34	71.4	70.3	72.8	70	67.9	71.8
33	71.3	70.2	72.7	69.8	67.7	71.7
32	71.2	70.1	72.6	69.5	67.4	71.5
31	71.1	69.9	72.5	69.3	67.2	71.3
30	71	69.8	72.4	69.1	67	71.1
29	70.8	69.7	72.3	68.9	66.7	71
28	70.7	69.6	72.2	68.7	66.5	70.8
27	70.6	69.4	72.1	68.5	66.2	70.6
26	70.5	69.3	72	68.3	65.9	70.4
25	70.4	69.2	71.9	68	65.7	70.3
24	70.3	69.1	71.8	67.8	65.4	70.1
23	70.2	68.9	71.8	67.6	65.1	70
22	70.1	68.8	71.7	67.4	64.9	69.8
21	70	68.7	71.6	67.2	64.6	69.6
20	69.9	68.6	71.5	67	64.4	69.5
19	69.8	68.5	71.4	66.8	64.1	69.3
18	69.7	68.4	71.4	66.6	63.9	69.2
17	69.6	68.3	71.3	66.4	63.7	69
16	69.6	68.2	71.2	66.3	63.5	68.9
15	69.5	68.2	71.2	66.1	63.4	68.8
14	69.5	68.1	71.1	66	63.2	68.7
13	69.4	68	71.1	65.8	63.1	68.5
12	69.3	68	71	65.7	62.9	68.4
11	69.3	67.9	71	65.5	62.8	68.3
10	69.2	67.9	70.9	65.4	62.6	68.2
9	69.2	67.8	70.9	65.2	62.4	68
8	69.1	67.7	70.8	65	62.1	67.8
7	69	67.6	70.7	64.7	61.8	67.6
6	68.9	67.5	70.6	64.4	61.5	67.3
5	68.8	67.4	70.5	64	61.1	67
4	68.7	67.3	70.4	63.6	60.6	66.6
3	68.5	67	70.2	63.1	60.1	66.1
2	68.2	66.7	69.9	62.5	59.5	65.5
1	67.7	66.2	69.4	61.8	58.9	64.7
0	64.3	62.6	66.3	58	55	61

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 Equatorial Guinea can expect to live to 71 years compared to 69.1 in South Sudan, rising to 78.3 and 78 at 65, and to 85.8 and 85.6 at 80 — higher than the 64.3 and 58 years calculated at birth.

The chart above accounts for remaining lifespan and displays total life expectancy by age and gender in Equatorial Guinea and South Sudan.

Probability of surviving to a given age

Chart Table

Equatorial Guinea

Male

Female

South Sudan

Male

Female

1x

Age	Survival probability
	Equatorial Guinea			South Sudan
	Average	Male	Female	Average	Male	Female
100	0.11%	0.08%	0.14%	0.06%	0.02%	0.1%
99	0.18%	0.14%	0.22%	0.1%	0.03%	0.17%
98	0.28%	0.22%	0.35%	0.17%	0.05%	0.28%
97	0.43%	0.33%	0.54%	0.27%	0.1%	0.44%
96	0.65%	0.5%	0.81%	0.43%	0.16%	0.67%
95	0.95%	0.74%	1.18%	0.64%	0.27%	1%
94	1.35%	1.06%	1.67%	0.94%	0.44%	1.44%
93	1.88%	1.48%	2.32%	1.35%	0.67%	2.01%
92	2.56%	2.03%	3.14%	1.87%	1%	2.73%
91	3.4%	2.72%	4.15%	2.54%	1.45%	3.62%
90	4.44%	3.58%	5.4%	3.37%	2.03%	4.7%
89	5.68%	4.62%	6.87%	4.38%	2.76%	5.98%
88	7.14%	5.86%	8.58%	5.58%	3.65%	7.47%
87	8.83%	7.31%	10.5%	6.96%	4.7%	9.18%
86	10.7%	8.96%	12.7%	8.54%	5.92%	11.1%
85	12.8%	10.8%	15.2%	10.3%	7.31%	13.2%
84	15.2%	12.9%	17.8%	12.3%	8.88%	15.6%
83	17.6%	15.1%	20.6%	14.4%	10.6%	18%
82	20.2%	17.5%	23.5%	16.6%	12.5%	20.6%
81	22.9%	19.9%	26.4%	18.9%	14.5%	23.3%
80	25.7%	22.6%	29.5%	21.3%	16.6%	26.1%
79	28.6%	25.2%	32.6%	23.8%	18.8%	28.8%
78	31.5%	28%	35.7%	26.3%	21%	31.6%
77	34.4%	30.7%	38.7%	28.8%	23.3%	34.3%
76	37.3%	33.5%	41.8%	31.3%	25.6%	36.9%
75	40.1%	36.3%	44.7%	33.7%	27.9%	39.6%
74	42.9%	39%	47.6%	36.2%	30.2%	42.1%
73	45.6%	41.7%	50.4%	38.5%	32.5%	44.6%
72	48.2%	44.3%	53.1%	40.8%	34.7%	46.9%
71	50.7%	46.8%	55.6%	43%	36.9%	49.2%
70	53.1%	49.3%	58%	45.1%	39%	51.3%
69	55.4%	51.6%	60.2%	47.1%	41%	53.3%
68	57.6%	53.8%	62.3%	49.1%	42.9%	55.2%
67	59.6%	56%	64.3%	50.9%	44.8%	57%
66	61.6%	58%	66.1%	52.6%	46.6%	58.7%
65	63.4%	60%	67.9%	54.2%	48.3%	60.2%
64	65.2%	61.8%	69.5%	55.8%	49.9%	61.7%
63	66.8%	63.6%	71%	57.3%	51.5%	63.1%
62	68.4%	65.2%	72.4%	58.6%	53%	64.3%
61	69.8%	66.8%	73.7%	59.9%	54.4%	65.5%
60	71.2%	68.3%	74.9%	61.1%	55.7%	66.6%
59	72.5%	69.6%	76.1%	62.3%	57%	67.6%
58	73.6%	70.9%	77.1%	63.3%	58.2%	68.6%
57	74.8%	72.2%	78.1%	64.4%	59.3%	69.5%
56	75.8%	73.3%	79%	65.3%	60.4%	70.3%
55	76.8%	74.4%	79.8%	66.3%	61.5%	71.1%
54	77.7%	75.4%	80.7%	67.2%	62.5%	71.9%
53	78.6%	76.4%	81.4%	68%	63.5%	72.7%
52	79.5%	77.3%	82.1%	68.9%	64.5%	73.4%
51	80.3%	78.2%	82.8%	69.7%	65.4%	74%
50	81%	79%	83.4%	70.4%	66.3%	74.7%
49	81.7%	79.8%	84%	71.1%	67.1%	75.3%
48	82.3%	80.5%	84.5%	71.8%	67.9%	75.8%
47	82.9%	81.2%	85.1%	72.5%	68.6%	76.4%
46	83.5%	81.8%	85.5%	73.1%	69.4%	76.9%
45	84.1%	82.4%	86%	73.7%	70.1%	77.4%
44	84.6%	82.9%	86.4%	74.3%	70.8%	77.9%
43	85.1%	83.5%	86.8%	74.9%	71.5%	78.4%
42	85.5%	84%	87.2%	75.5%	72.1%	78.9%
41	85.9%	84.4%	87.6%	76.1%	72.8%	79.4%
40	86.4%	84.9%	88%	76.6%	73.4%	79.9%
39	86.7%	85.3%	88.3%	77.1%	74%	80.3%
38	87.1%	85.7%	88.6%	77.6%	74.6%	80.8%
37	87.5%	86.1%	88.9%	78.1%	75.2%	81.2%
36	87.8%	86.5%	89.2%	78.6%	75.8%	81.6%
35	88.1%	86.8%	89.5%	79.1%	76.3%	82%
34	88.4%	87.2%	89.7%	79.6%	76.9%	82.4%
33	88.7%	87.5%	90%	80%	77.4%	82.7%
32	89%	87.8%	90.2%	80.5%	77.9%	83.1%
31	89.2%	88.1%	90.4%	80.9%	78.5%	83.5%
30	89.5%	88.3%	90.7%	81.4%	79%	83.8%
29	89.7%	88.6%	90.9%	81.8%	79.5%	84.2%
28	89.9%	88.9%	91.1%	82.2%	80.1%	84.5%
27	90.2%	89.1%	91.3%	82.7%	80.6%	84.9%
26	90.4%	89.4%	91.4%	83.1%	81.1%	85.2%
25	90.6%	89.6%	91.6%	83.5%	81.6%	85.5%
24	90.8%	89.9%	91.8%	84%	82.2%	85.8%
23	91%	90.1%	92%	84.4%	82.7%	86.1%
22	91.2%	90.3%	92.1%	84.8%	83.2%	86.4%
21	91.4%	90.6%	92.3%	85.2%	83.7%	86.7%
20	91.6%	90.8%	92.4%	85.6%	84.2%	87%
19	91.8%	91%	92.5%	85.9%	84.7%	87.2%
18	91.9%	91.2%	92.7%	86.2%	85.1%	87.5%
17	92%	91.3%	92.8%	86.5%	85.4%	87.7%
16	92.2%	91.5%	92.9%	86.8%	85.7%	87.9%
15	92.3%	91.6%	93%	87.1%	86%	88.2%
14	92.4%	91.7%	93.1%	87.3%	86.3%	88.4%
13	92.5%	91.8%	93.2%	87.5%	86.6%	88.5%
12	92.6%	91.9%	93.2%	87.8%	86.8%	88.7%
11	92.6%	92%	93.3%	88%	87.1%	88.9%
10	92.7%	92.1%	93.4%	88.3%	87.4%	89.1%
9	92.8%	92.2%	93.5%	88.6%	87.8%	89.4%
8	92.9%	92.3%	93.6%	88.9%	88.2%	89.7%
7	93%	92.4%	93.7%	89.3%	88.6%	90%
6	93.2%	92.6%	93.8%	89.8%	89.2%	90.4%
5	93.4%	92.7%	94%	90.3%	89.8%	90.9%
4	93.6%	93%	94.2%	91%	90.6%	91.5%
3	93.9%	93.3%	94.5%	91.8%	91.4%	92.2%
2	94.3%	93.8%	94.9%	92.7%	92.3%	93.1%
1	95%	94.5%	95.5%	93.8%	93.3%	94.2%

This chart shows the odds of living to each age from birth. 71.2% of newborns in Equatorial Guinea and 61.1% in South Sudan are expected to live past 60, 53.1% and 45.1% past 70, 25.7% and 21.3% past 80, and only 4.44% and 3.37% past 90.

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

Odds of dying at each age

Chart Table

Equatorial Guinea

Male

Female

South Sudan

Male

Female

1x

Age	Probability of dying
	Equatorial Guinea			South Sudan
	Average	Male	Female	Average	Male	Female
100	40%	39.9%	40.2%	45.7%	49.1%	43.1%
99	38.5%	38.4%	38.5%	43.7%	47.1%	41%
98	36.6%	36.6%	36.6%	40.5%	45.5%	39.1%
97	35%	35.2%	34.9%	37.7%	43.8%	37.1%
96	33.4%	33.6%	33.3%	35.6%	41.9%	35%
95	31.7%	32%	31.5%	33.8%	39.8%	32.8%
94	29.9%	30.3%	29.6%	31.9%	37.5%	30.6%
93	28.2%	28.6%	27.9%	30%	35.2%	28.4%
92	26.5%	27.1%	26.2%	28.1%	33%	26.4%
91	24.7%	25.3%	24.4%	26.3%	30.8%	24.6%
90	23.5%	24.1%	23.1%	24.6%	28.6%	22.9%
89	21.8%	22.5%	21.4%	23%	26.4%	21.4%
88	20.5%	21.1%	20%	21.4%	24.3%	20%
87	19.1%	19.7%	18.6%	19.9%	22.4%	18.6%
86	17.8%	18.5%	17.3%	18.5%	20.6%	17.4%
85	16.4%	17.1%	16%	17.1%	19%	16.1%
84	15.2%	16%	14.7%	15.9%	17.6%	14.9%
83	14%	14.7%	13.5%	14.6%	16.3%	13.7%
82	12.9%	13.6%	12.4%	13.5%	15%	12.6%
81	11.7%	12.4%	11.2%	12.4%	13.8%	11.5%
80	11%	11.6%	10.4%	11.3%	12.7%	10.5%
79	9.99%	10.6%	9.46%	10.4%	11.7%	9.54%
78	9.23%	9.82%	8.71%	9.47%	10.7%	8.69%
77	8.41%	8.99%	7.9%	8.67%	9.8%	7.92%
76	7.74%	8.3%	7.26%	7.94%	9%	7.23%
75	7.11%	7.64%	6.65%	7.29%	8.28%	6.61%
74	6.49%	7.01%	6.04%	6.69%	7.61%	6.05%
73	5.93%	6.43%	5.49%	6.14%	6.99%	5.52%
72	5.43%	5.91%	5.02%	5.62%	6.41%	5.03%
71	4.89%	5.34%	4.49%	5.13%	5.87%	4.58%
70	4.55%	4.97%	4.16%	4.68%	5.37%	4.16%
69	4.1%	4.51%	3.7%	4.26%	4.91%	3.77%
68	3.77%	4.15%	3.38%	3.9%	4.5%	3.43%
67	3.44%	3.81%	3.06%	3.57%	4.14%	3.12%
66	3.15%	3.51%	2.79%	3.28%	3.83%	2.84%
65	2.93%	3.26%	2.57%	3.02%	3.54%	2.6%
64	2.68%	3%	2.34%	2.78%	3.28%	2.37%
63	2.46%	2.77%	2.13%	2.56%	3.04%	2.17%
62	2.27%	2.55%	1.95%	2.35%	2.81%	1.97%
61	2.06%	2.32%	1.76%	2.16%	2.59%	1.8%
60	1.92%	2.17%	1.64%	1.98%	2.39%	1.64%
59	1.74%	1.97%	1.47%	1.82%	2.21%	1.5%
58	1.62%	1.83%	1.36%	1.69%	2.06%	1.39%
57	1.49%	1.69%	1.24%	1.58%	1.93%	1.29%
56	1.39%	1.57%	1.16%	1.49%	1.82%	1.21%
55	1.3%	1.47%	1.07%	1.42%	1.73%	1.15%
54	1.21%	1.37%	1%	1.35%	1.65%	1.09%
53	1.13%	1.28%	0.93%	1.28%	1.57%	1.03%
52	1.06%	1.2%	0.87%	1.21%	1.49%	0.97%
51	0.97%	1.1%	0.8%	1.14%	1.41%	0.91%
50	0.92%	1.04%	0.75%	1.07%	1.32%	0.85%
49	0.84%	0.95%	0.69%	1%	1.24%	0.79%
48	0.79%	0.89%	0.65%	0.95%	1.17%	0.75%
47	0.73%	0.82%	0.6%	0.9%	1.11%	0.71%
46	0.68%	0.77%	0.56%	0.86%	1.06%	0.69%
45	0.64%	0.72%	0.53%	0.84%	1.02%	0.67%
44	0.6%	0.67%	0.5%	0.81%	0.99%	0.66%
43	0.57%	0.63%	0.48%	0.79%	0.96%	0.64%
42	0.54%	0.6%	0.45%	0.77%	0.92%	0.63%
41	0.5%	0.56%	0.42%	0.74%	0.89%	0.61%
40	0.48%	0.53%	0.41%	0.71%	0.85%	0.58%
39	0.45%	0.5%	0.38%	0.68%	0.82%	0.56%
38	0.42%	0.47%	0.36%	0.65%	0.79%	0.53%
37	0.4%	0.44%	0.34%	0.63%	0.76%	0.51%
36	0.38%	0.42%	0.32%	0.61%	0.74%	0.49%
35	0.36%	0.4%	0.31%	0.6%	0.73%	0.48%
34	0.34%	0.38%	0.29%	0.59%	0.71%	0.47%
33	0.32%	0.36%	0.27%	0.58%	0.7%	0.46%
32	0.31%	0.35%	0.26%	0.57%	0.69%	0.45%
31	0.29%	0.33%	0.25%	0.56%	0.68%	0.44%
30	0.28%	0.32%	0.24%	0.55%	0.67%	0.43%
29	0.27%	0.31%	0.23%	0.54%	0.66%	0.42%
28	0.26%	0.3%	0.22%	0.53%	0.65%	0.41%
27	0.25%	0.29%	0.21%	0.52%	0.65%	0.39%
26	0.24%	0.28%	0.2%	0.52%	0.65%	0.38%
25	0.24%	0.28%	0.19%	0.51%	0.65%	0.37%
24	0.23%	0.27%	0.18%	0.51%	0.65%	0.36%
23	0.22%	0.27%	0.18%	0.5%	0.65%	0.35%
22	0.22%	0.26%	0.17%	0.49%	0.63%	0.34%
21	0.21%	0.25%	0.16%	0.47%	0.61%	0.33%
20	0.19%	0.23%	0.15%	0.44%	0.57%	0.32%
19	0.18%	0.22%	0.15%	0.41%	0.52%	0.3%
18	0.17%	0.2%	0.14%	0.38%	0.47%	0.29%
17	0.15%	0.18%	0.13%	0.35%	0.42%	0.27%
16	0.14%	0.15%	0.12%	0.32%	0.37%	0.26%
15	0.12%	0.13%	0.11%	0.29%	0.34%	0.24%
14	0.11%	0.12%	0.1%	0.27%	0.31%	0.22%
13	0.1%	0.11%	0.09%	0.26%	0.3%	0.22%
12	0.09%	0.1%	0.09%	0.26%	0.3%	0.22%
11	0.09%	0.1%	0.08%	0.27%	0.32%	0.22%
10	0.1%	0.1%	0.09%	0.3%	0.35%	0.24%
9	0.1%	0.11%	0.09%	0.34%	0.4%	0.27%
8	0.11%	0.12%	0.1%	0.39%	0.47%	0.31%
7	0.13%	0.14%	0.11%	0.45%	0.54%	0.36%
6	0.15%	0.16%	0.13%	0.53%	0.63%	0.43%
5	0.18%	0.19%	0.16%	0.62%	0.71%	0.53%
4	0.23%	0.25%	0.22%	0.73%	0.8%	0.65%
3	0.32%	0.34%	0.3%	0.85%	0.9%	0.8%
2	0.46%	0.49%	0.44%	0.99%	0.99%	0.98%
1	0.76%	0.8%	0.72%	1.16%	1.1%	1.22%
0	4.97%	5.49%	4.45%	6.22%	6.67%	5.75%

This chart displays the probability of dying at any given age in Equatorial Guinea compared to South Sudan, as mortality rates vary throughout a lifetime.

The annual chance of dying is 4.97% in the birth year in Equatorial Guinea and 6.22% in South Sudan, 0.28% vs 0.55% at age 30, 1.92% vs 1.98% at 60, and 11% vs 11.3% at 80.

Death rate by age in Equatorial Guinea vs South Sudan

Chart Table

Equatorial Guinea

Male

Female

South Sudan

Male

Female

1x

Age	Death rate
	Equatorial Guinea			South Sudan
	Total	Male	Female	Total	Male	Female
100	0	0	0	0	0	0
99	68.2	52.5	85.6	44.4	13.7	68.6
98	102.3	78.9	128	69.1	24.4	107.5
97	150.8	116.9	188	103.4	41.7	162.1
96	216	168.5	268.1	151.7	68.7	235
95	300	236.2	371	217.2	108.2	328
94	404	320	496	301	163.5	440
93	529	425	646	404	237	571
92	678	550	822	527	331	722
91	841	690	1,012	670	447	890
90	1,044	863	1,249	831	582	1,077
89	1,240	1,040	1,468	1,007	729	1,279
88	1,461	1,239	1,716	1,193	887	1,492
87	1,682	1,443	1,958	1,386	1,052	1,712
86	1,906	1,654	2,202	1,579	1,221	1,929
85	2,111	1,853	2,419	1,767	1,392	2,135
84	2,311	2,057	2,621	1,944	1,562	2,321
83	2,466	2,220	2,772	2,103	1,725	2,478
82	2,609	2,375	2,904	2,237	1,874	2,600
81	2,685	2,471	2,956	2,342	2,003	2,685
80	2,820	2,614	3,078	2,417	2,108	2,734
79	2,857	2,677	3,081	2,465	2,188	2,750
78	2,908	2,748	3,108	2,490	2,246	2,742
77	2,893	2,762	3,062	2,497	2,284	2,714
76	2,887	2,781	3,032	2,485	2,305	2,672
75	2,854	2,773	2,974	2,459	2,311	2,615
74	2,787	2,735	2,879	2,419	2,300	2,546
73	2,705	2,680	2,769	2,364	2,272	2,461
72	2,622	2,618	2,661	2,292	2,226	2,363
71	2,482	2,500	2,494	2,207	2,164	2,252
70	2,420	2,451	2,412	2,111	2,091	2,133
69	2,271	2,326	2,229	2,011	2,013	2,011
68	2,168	2,237	2,107	1,911	1,933	1,891
67	2,052	2,134	1,968	1,815	1,855	1,777
66	1,942	2,034	1,844	1,724	1,782	1,668
65	1,856	1,957	1,743	1,636	1,710	1,565
64	1,748	1,855	1,624	1,551	1,639	1,464
63	1,647	1,758	1,515	1,465	1,565	1,366
62	1,551	1,664	1,415	1,378	1,488	1,270
61	1,435	1,549	1,296	1,292	1,409	1,178
60	1,370	1,481	1,230	1,210	1,332	1,092
59	1,264	1,375	1,120	1,136	1,260	1,015
58	1,189	1,297	1,047	1,072	1,197	950
57	1,112	1,216	971	1,018	1,145	896
56	1,054	1,154	915	976	1,102	853
55	995	1,091	858	939	1,066	816
54	944	1,036	809	906	1,033	782
53	890	978	758	872	999	748
52	843	926	717	835	961	711
51	782	861	660	795	919	672
50	745	821	629	753	875	633
49	690	761	580	713	832	596
48	648	714	546	679	794	566
47	605	667	510	651	762	543
46	570	627	482	631	737	528
45	542	595	460	616	717	519
44	509	558	434	604	700	512
43	482	527	413	593	685	506
42	461	503	397	580	667	496
41	430	470	371	564	648	483
40	414	452	358	545	628	467
39	388	424	336	526	608	449
38	369	404	320	508	590	431
37	348	382	301	493	575	415
36	331	364	287.2	481	563	402
35	315	347	273	473	555	392
34	298.6	330	259	466	549	384
33	284.9	316	246.7	461	544	377
32	272.6	303	235.5	456	538	372
31	258.6	288.5	222.6	451	533	366
30	251.6	281.1	216.4	446	527	359
29	241	270.6	205.9	440	523	352
28	233.5	263.4	198.5	436	522	344
27	226.2	257	190.2	432	523	335
26	220.1	252.2	182.9	429	527	325
25	214.4	248.1	175.8	427	532	316
24	209.3	244.6	169.2	424	536	307
23	203.3	239.9	162.3	420	535	298.4
22	196.5	233.5	155.8	412	527	290.7
21	187.9	224.3	149	398	508	283.3
20	178.3	212.5	142.7	379	478	275.1
19	167.2	197.9	135.3	354	439	265.4
18	154.8	181.3	127.5	327	397	253.5
17	139.7	160.6	118.1	299.3	357	239.3
16	125.5	141.2	109.3	273.6	321	224.4
15	111	122.7	99	251.3	290.8	210.1
14	100.1	109.7	90.2	235.1	270	198.7
13	92	100.1	83.7	226.8	260.1	192
12	87.4	94.8	79.8	227.9	262.8	191.3
11	86	93.2	78.5	239.4	279	198.2
10	88.2	95.9	80.2	262	309	213.5
9	93.4	101.8	84.8	296.8	353	238.8
8	102.6	111.3	93.6	344	411	275.7
7	116.8	126.1	107.2	404	480	326
6	136.7	146.4	126.6	477	558	393
5	165.2	175.6	154.5	561	641	479
4	216.1	228.6	203.1	660	727	591
3	302	320	283.2	776	818	733
2	438	462	414	915	916	915
1	721	757	684	1,086	1,027	1,147
0	4,972	5,488	4,450	6,215	6,667	5,754

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 Equatorial Guinea, the most common age of death is 0, compared to 0 in South Sudan. The median age of death is 71.3 in Equatorial Guinea and 67.5 in South Sudan, 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 Equatorial Guinea and South Sudan more than their death rates.

Life expectancy in other countries

+ -

1x