Life Expectancy in Equatorial Guinea vs Tonga (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 Equatorial Guinea vs Tonga: 71 years vs 75.1 at 30, 78.3 vs 80.6 at 65, 85.8 vs 87.1 at 80 — significantly higher than the 64.3 vs 73.4 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Equatorial Guinea and Tonga.

Table

Current age, years	Total life expectancy, years
	Equatorial Guinea			Tonga
	Average	Male	Female	Average	Male	Female
0	64.3	62.6	66.3	73.4	69.8	76.8
1	67.7	66.2	69.4	74	70.4	77.4
2	68.2	66.7	69.9	74	70.5	77.4
3	68.5	67	70.2	74.1	70.5	77.4
4	68.7	67.3	70.4	74.1	70.5	77.5
5	68.8	67.4	70.5	74.1	70.5	77.5
6	68.9	67.5	70.6	74.1	70.6	77.5
7	69	67.6	70.7	74.1	70.6	77.5
8	69.1	67.7	70.8	74.2	70.6	77.5
9	69.2	67.8	70.9	74.2	70.6	77.6
10	69.2	67.9	70.9	74.2	70.6	77.6
11	69.3	67.9	71	74.2	70.7	77.6
12	69.3	68	71	74.2	70.7	77.6
13	69.4	68	71.1	74.2	70.7	77.6
14	69.5	68.1	71.1	74.3	70.7	77.6
15	69.5	68.2	71.2	74.3	70.7	77.7
16	69.6	68.2	71.2	74.3	70.8	77.7
17	69.6	68.3	71.3	74.4	70.8	77.7
18	69.7	68.4	71.4	74.4	70.9	77.8
19	69.8	68.5	71.4	74.5	70.9	77.8
20	69.9	68.6	71.5	74.5	71	77.8
21	70	68.7	71.6	74.6	71.1	77.9
22	70.1	68.8	71.7	74.7	71.2	77.9
23	70.2	68.9	71.8	74.7	71.3	78
24	70.3	69.1	71.8	74.8	71.4	78
25	70.4	69.2	71.9	74.8	71.4	78
26	70.5	69.3	72	74.9	71.5	78.1
27	70.6	69.4	72.1	75	71.6	78.1
28	70.7	69.6	72.2	75	71.7	78.2
29	70.8	69.7	72.3	75.1	71.8	78.2
30	71	69.8	72.4	75.1	71.9	78.3
31	71.1	69.9	72.5	75.2	71.9	78.3
32	71.2	70.1	72.6	75.3	72	78.3
33	71.3	70.2	72.7	75.3	72.1	78.4
34	71.4	70.3	72.8	75.4	72.2	78.4
35	71.6	70.4	72.9	75.5	72.3	78.5
36	71.7	70.6	73	75.5	72.4	78.6
37	71.8	70.7	73.2	75.6	72.5	78.6
38	72	70.9	73.3	75.7	72.6	78.7
39	72.1	71	73.4	75.8	72.7	78.7
40	72.2	71.2	73.5	75.9	72.8	78.8
41	72.4	71.4	73.7	76	72.9	78.9
42	72.5	71.5	73.8	76.1	73.1	79
43	72.7	71.7	73.9	76.2	73.2	79
44	72.9	71.9	74.1	76.3	73.3	79.1
45	73.1	72.1	74.2	76.4	73.5	79.2
46	73.2	72.3	74.4	76.5	73.6	79.3
47	73.4	72.5	74.6	76.6	73.8	79.4
48	73.6	72.7	74.7	76.8	74	79.5
49	73.8	72.9	74.9	76.9	74.2	79.6
50	74	73.1	75.1	77.1	74.4	79.7
51	74.2	73.3	75.3	77.2	74.6	79.9
52	74.5	73.6	75.4	77.4	74.8	80
53	74.7	73.8	75.6	77.6	75	80.1
54	74.9	74.1	75.9	77.8	75.2	80.3
55	75.2	74.4	76.1	78	75.5	80.4
56	75.4	74.7	76.3	78.2	75.7	80.6
57	75.7	74.9	76.5	78.4	76	80.8
58	76	75.2	76.8	78.7	76.3	80.9
59	76.3	75.6	77	78.9	76.6	81.1
60	76.6	75.9	77.3	79.2	76.9	81.3
61	76.9	76.2	77.6	79.4	77.2	81.5
62	77.2	76.6	77.8	79.7	77.6	81.7
63	77.5	76.9	78.1	80	77.9	81.9
64	77.9	77.3	78.5	80.3	78.3	82.1
65	78.3	77.7	78.8	80.6	78.7	82.4
66	78.7	78.1	79.2	81	79.1	82.6
67	79	78.6	79.5	81.3	79.5	82.9
68	79.5	79	79.9	81.7	79.9	83.1
69	79.9	79.4	80.3	82	80.3	83.4
70	80.3	79.9	80.7	82.4	80.8	83.7
71	80.8	80.4	81.2	82.8	81.3	84
72	81.3	80.9	81.6	83.2	81.8	84.4
73	81.8	81.4	82.1	83.6	82.3	84.7
74	82.3	82	82.6	84.1	82.8	85.1
75	82.9	82.6	83.1	84.5	83.3	85.4
76	83.4	83.1	83.7	85	83.9	85.8
77	84	83.7	84.2	85.5	84.4	86.3
78	84.6	84.4	84.8	86	85	86.7
79	85.2	85	85.4	86.5	85.6	87.2
80	85.8	85.6	86	87.1	86.2	87.6
81	86.5	86.3	86.6	87.6	86.9	88.2
82	87.2	87	87.3	88.2	87.5	88.7
83	87.9	87.7	88	88.9	88.2	89.3
84	88.6	88.4	88.7	89.5	88.9	89.8
85	89.3	89.2	89.4	90.1	89.6	90.4
86	90	89.9	90.1	90.8	90.3	91.1
87	90.8	90.7	90.9	91.5	91	91.7
88	91.6	91.5	91.6	92.2	91.8	92.4
89	92.4	92.3	92.4	92.9	92.6	93.1
90	93.2	93.1	93.2	93.7	93.3	93.8
91	94	94	94	94.5	94.1	94.6
92	94.8	94.8	94.9	95.2	95	95.3
93	95.7	95.6	95.7	96	95.8	96.1
94	96.5	96.5	96.5	96.9	96.6	96.9
95	97.4	97.4	97.4	97.7	97.5	97.7
96	98.3	98.3	98.3	98.5	98.3	98.6
97	99.2	99.2	99.2	99.4	99.2	99.4
98	100.1	100.1	100.1	100.3	100.1	100.3
99	101	100.9	101	101.2	101	101.2
100	101.9	101.8	101.9	102.1	101.8	102.1

Odds of living to age in Equatorial Guinea vs Tonga

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 71.2% in Equatorial Guinea and 83.6% in Tonga are expected to survive till at least 60 years old, 53.1% and 67.6% will live to 70 years or older, 25.7% and 40.6% to 80+ years, and 4.44% and 10.7% 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
	Equatorial Guinea			Tonga
	Average	Male	Female	Average	Male	Female
1	95%	94.5%	95.5%	99.2%	99.1%	99.3%
2	94.3%	93.8%	94.9%	99.1%	99%	99.3%
3	93.9%	93.3%	94.5%	99.1%	99%	99.2%
4	93.6%	93%	94.2%	99.1%	99%	99.2%
5	93.4%	92.7%	94%	99%	98.9%	99.2%
6	93.2%	92.6%	93.8%	99%	98.9%	99.1%
7	93%	92.4%	93.7%	99%	98.8%	99.1%
8	92.9%	92.3%	93.6%	98.9%	98.8%	99.1%
9	92.8%	92.2%	93.5%	98.9%	98.8%	99.1%
10	92.7%	92.1%	93.4%	98.9%	98.8%	99%
11	92.6%	92%	93.3%	98.9%	98.7%	99%
12	92.6%	91.9%	93.2%	98.8%	98.7%	99%
13	92.5%	91.8%	93.2%	98.8%	98.7%	99%
14	92.4%	91.7%	93.1%	98.8%	98.7%	98.9%
15	92.3%	91.6%	93%	98.7%	98.6%	98.9%
16	92.2%	91.5%	92.9%	98.7%	98.5%	98.9%
17	92%	91.3%	92.8%	98.6%	98.5%	98.8%
18	91.9%	91.2%	92.7%	98.5%	98.4%	98.7%
19	91.8%	91%	92.5%	98.4%	98.2%	98.7%
20	91.6%	90.8%	92.4%	98.3%	98.1%	98.6%
21	91.4%	90.6%	92.3%	98.2%	97.9%	98.5%
22	91.2%	90.3%	92.1%	98.1%	97.8%	98.5%
23	91%	90.1%	92%	98%	97.6%	98.4%
24	90.8%	89.9%	91.8%	97.9%	97.4%	98.3%
25	90.6%	89.6%	91.6%	97.7%	97.2%	98.2%
26	90.4%	89.4%	91.4%	97.6%	97.1%	98.2%
27	90.2%	89.1%	91.3%	97.5%	96.9%	98.1%
28	89.9%	88.9%	91.1%	97.4%	96.7%	98%
29	89.7%	88.6%	90.9%	97.2%	96.5%	97.9%
30	89.5%	88.3%	90.7%	97.1%	96.3%	97.8%
31	89.2%	88.1%	90.4%	97%	96.1%	97.7%
32	89%	87.8%	90.2%	96.8%	95.9%	97.6%
33	88.7%	87.5%	90%	96.7%	95.7%	97.5%
34	88.4%	87.2%	89.7%	96.5%	95.5%	97.4%
35	88.1%	86.8%	89.5%	96.4%	95.2%	97.3%
36	87.8%	86.5%	89.2%	96.2%	95%	97.2%
37	87.5%	86.1%	88.9%	96%	94.7%	97%
38	87.1%	85.7%	88.6%	95.8%	94.4%	96.9%
39	86.7%	85.3%	88.3%	95.6%	94.1%	96.7%
40	86.4%	84.9%	88%	95.4%	93.8%	96.6%
41	85.9%	84.4%	87.6%	95.1%	93.5%	96.4%
42	85.5%	84%	87.2%	94.9%	93.1%	96.2%
43	85.1%	83.5%	86.8%	94.6%	92.7%	96%
44	84.6%	82.9%	86.4%	94.3%	92.3%	95.8%
45	84.1%	82.4%	86%	93.9%	91.8%	95.5%
46	83.5%	81.8%	85.5%	93.6%	91.3%	95.2%
47	82.9%	81.2%	85.1%	93.1%	90.8%	95%
48	82.3%	80.5%	84.5%	92.7%	90.2%	94.6%
49	81.7%	79.8%	84%	92.2%	89.5%	94.3%
50	81%	79%	83.4%	91.7%	88.8%	93.9%
51	80.3%	78.2%	82.8%	91.1%	88.1%	93.5%
52	79.5%	77.3%	82.1%	90.5%	87.3%	93.1%
53	78.6%	76.4%	81.4%	89.9%	86.4%	92.6%
54	77.7%	75.4%	80.7%	89.2%	85.5%	92.1%
55	76.8%	74.4%	79.8%	88.4%	84.4%	91.6%
56	75.8%	73.3%	79%	87.6%	83.4%	91%
57	74.8%	72.2%	78.1%	86.7%	82.2%	90.4%
58	73.6%	70.9%	77.1%	85.7%	81%	89.7%
59	72.5%	69.6%	76.1%	84.7%	79.6%	89%
60	71.2%	68.3%	74.9%	83.6%	78.2%	88.2%
61	69.8%	66.8%	73.7%	82.4%	76.7%	87.4%
62	68.4%	65.2%	72.4%	81.1%	75.1%	86.5%
63	66.8%	63.6%	71%	79.7%	73.4%	85.6%
64	65.2%	61.8%	69.5%	78.3%	71.5%	84.6%
65	63.4%	60%	67.9%	76.7%	69.6%	83.5%
66	61.6%	58%	66.1%	75.1%	67.5%	82.3%
67	59.6%	56%	64.3%	73.4%	65.4%	81%
68	57.6%	53.8%	62.3%	71.6%	63.2%	79.6%
69	55.4%	51.6%	60.2%	69.6%	60.8%	78.1%
70	53.1%	49.3%	58%	67.6%	58.4%	76.5%
71	50.7%	46.8%	55.6%	65.4%	55.8%	74.7%
72	48.2%	44.3%	53.1%	63.1%	53.2%	72.8%
73	45.6%	41.7%	50.4%	60.7%	50.4%	70.8%
74	42.9%	39%	47.6%	58.2%	47.6%	68.6%
75	40.1%	36.3%	44.7%	55.6%	44.7%	66.2%
76	37.3%	33.5%	41.8%	52.8%	41.8%	63.6%
77	34.4%	30.7%	38.7%	49.9%	38.8%	60.9%
78	31.5%	28%	35.7%	46.9%	35.8%	58%
79	28.6%	25.2%	32.6%	43.8%	32.8%	54.9%
80	25.7%	22.6%	29.5%	40.6%	29.8%	51.6%
81	22.9%	19.9%	26.4%	37.3%	26.8%	48.2%
82	20.2%	17.5%	23.5%	34.1%	23.9%	44.6%
83	17.6%	15.1%	20.6%	30.8%	21.1%	40.9%
84	15.2%	12.9%	17.8%	27.5%	18.4%	37.1%
85	12.8%	10.8%	15.2%	24.4%	15.8%	33.3%
86	10.7%	8.96%	12.7%	21.3%	13.4%	29.5%
87	8.83%	7.31%	10.5%	18.3%	11.3%	25.8%
88	7.14%	5.86%	8.58%	15.6%	9.3%	22.3%
89	5.68%	4.62%	6.87%	13%	7.54%	18.9%
90	4.44%	3.58%	5.4%	10.7%	6%	15.7%
91	3.4%	2.72%	4.15%	8.6%	4.69%	12.9%
92	2.56%	2.03%	3.14%	6.8%	3.58%	10.3%
93	1.88%	1.48%	2.32%	5.27%	2.68%	8.09%
94	1.35%	1.06%	1.67%	3.98%	1.96%	6.2%
95	0.95%	0.74%	1.18%	2.93%	1.39%	4.63%
96	0.65%	0.5%	0.81%	2.12%	0.97%	3.37%
97	0.43%	0.33%	0.54%	1.49%	0.66%	2.39%
98	0.28%	0.22%	0.35%	1.02%	0.43%	1.64%
99	0.18%	0.14%	0.22%	0.68%	0.28%	1.09%
100	0.11%	0.08%	0.14%	0.44%	0.17%	0.71%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 4.97% in the birth year in Equatorial Guinea and 0.81% in Tonga, 0.28% vs 0.14% at age 30, 1.92% vs 1.43% at 60, and 11% vs 8.01% at 80.

Below is a graph displaying the probabilities of dying in Equatorial Guinea compared to Tonga at any given age.

Table

Age	Probability of dying
	Equatorial Guinea			Tonga
	Average	Male	Female	Average	Male	Female
0	4.97%	5.49%	4.45%	0.81%	0.91%	0.7%
1	0.76%	0.8%	0.72%	0.04%	0.05%	0.04%
2	0.46%	0.49%	0.44%	0.04%	0.05%	0.04%
3	0.32%	0.34%	0.3%	0.04%	0.04%	0.03%
4	0.23%	0.25%	0.22%	0.04%	0.04%	0.03%
5	0.18%	0.19%	0.16%	0.03%	0.04%	0.03%
6	0.15%	0.16%	0.13%	0.03%	0.03%	0.03%
7	0.13%	0.14%	0.11%	0.03%	0.03%	0.02%
8	0.11%	0.12%	0.1%	0.03%	0.03%	0.02%
9	0.1%	0.11%	0.09%	0.02%	0.03%	0.02%
10	0.1%	0.1%	0.09%	0.02%	0.02%	0.02%
11	0.09%	0.1%	0.08%	0.02%	0.03%	0.02%
12	0.09%	0.1%	0.09%	0.03%	0.03%	0.03%
13	0.1%	0.11%	0.09%	0.03%	0.04%	0.03%
14	0.11%	0.12%	0.1%	0.04%	0.05%	0.04%
15	0.12%	0.13%	0.11%	0.05%	0.06%	0.04%
16	0.14%	0.15%	0.12%	0.07%	0.08%	0.05%
17	0.15%	0.18%	0.13%	0.08%	0.11%	0.06%
18	0.17%	0.2%	0.14%	0.1%	0.13%	0.07%
19	0.18%	0.22%	0.15%	0.11%	0.15%	0.07%
20	0.19%	0.23%	0.15%	0.12%	0.17%	0.07%
21	0.21%	0.25%	0.16%	0.12%	0.17%	0.07%
22	0.22%	0.26%	0.17%	0.12%	0.18%	0.07%
23	0.22%	0.27%	0.18%	0.12%	0.18%	0.07%
24	0.23%	0.27%	0.18%	0.12%	0.18%	0.07%
25	0.24%	0.28%	0.19%	0.13%	0.18%	0.08%
26	0.24%	0.28%	0.2%	0.13%	0.18%	0.08%
27	0.25%	0.29%	0.21%	0.13%	0.19%	0.08%
28	0.26%	0.3%	0.22%	0.13%	0.19%	0.09%
29	0.27%	0.31%	0.23%	0.13%	0.2%	0.09%
30	0.28%	0.32%	0.24%	0.14%	0.21%	0.1%
31	0.29%	0.33%	0.25%	0.14%	0.21%	0.1%
32	0.31%	0.35%	0.26%	0.15%	0.22%	0.11%
33	0.32%	0.36%	0.27%	0.16%	0.23%	0.11%
34	0.34%	0.38%	0.29%	0.17%	0.25%	0.12%
35	0.36%	0.4%	0.31%	0.18%	0.26%	0.13%
36	0.38%	0.42%	0.32%	0.19%	0.28%	0.14%
37	0.4%	0.44%	0.34%	0.21%	0.3%	0.15%
38	0.42%	0.47%	0.36%	0.22%	0.32%	0.16%
39	0.45%	0.5%	0.38%	0.24%	0.34%	0.17%
40	0.48%	0.53%	0.41%	0.26%	0.37%	0.19%
41	0.5%	0.56%	0.42%	0.28%	0.4%	0.2%
42	0.54%	0.6%	0.45%	0.3%	0.43%	0.22%
43	0.57%	0.63%	0.48%	0.33%	0.47%	0.24%
44	0.6%	0.67%	0.5%	0.36%	0.51%	0.26%
45	0.64%	0.72%	0.53%	0.39%	0.55%	0.28%
46	0.68%	0.77%	0.56%	0.44%	0.6%	0.31%
47	0.73%	0.82%	0.6%	0.48%	0.65%	0.33%
48	0.79%	0.89%	0.65%	0.52%	0.71%	0.36%
49	0.84%	0.95%	0.69%	0.56%	0.78%	0.39%
50	0.92%	1.04%	0.75%	0.61%	0.85%	0.42%
51	0.97%	1.1%	0.8%	0.68%	0.92%	0.46%
52	1.06%	1.2%	0.87%	0.72%	1%	0.5%
53	1.13%	1.28%	0.93%	0.77%	1.09%	0.54%
54	1.21%	1.37%	1%	0.86%	1.18%	0.58%
55	1.3%	1.47%	1.07%	0.94%	1.28%	0.63%
56	1.39%	1.57%	1.16%	1.02%	1.39%	0.68%
57	1.49%	1.69%	1.24%	1.11%	1.51%	0.74%
58	1.62%	1.83%	1.36%	1.19%	1.64%	0.8%
59	1.74%	1.97%	1.47%	1.3%	1.78%	0.87%
60	1.92%	2.17%	1.64%	1.43%	1.94%	0.94%
61	2.06%	2.32%	1.76%	1.58%	2.11%	1.01%
62	2.27%	2.55%	1.95%	1.71%	2.3%	1.1%
63	2.46%	2.77%	2.13%	1.82%	2.5%	1.19%
64	2.68%	3%	2.34%	1.96%	2.71%	1.3%
65	2.93%	3.26%	2.57%	2.1%	2.93%	1.43%
66	3.15%	3.51%	2.79%	2.28%	3.17%	1.56%
67	3.44%	3.81%	3.06%	2.49%	3.43%	1.72%
68	3.77%	4.15%	3.38%	2.71%	3.72%	1.89%
69	4.1%	4.51%	3.7%	2.96%	4.03%	2.08%
70	4.55%	4.97%	4.16%	3.2%	4.37%	2.3%
71	4.89%	5.34%	4.49%	3.48%	4.74%	2.54%
72	5.43%	5.91%	5.02%	3.82%	5.14%	2.81%
73	5.93%	6.43%	5.49%	4.12%	5.57%	3.11%
74	6.49%	7.01%	6.04%	4.5%	6.05%	3.46%
75	7.11%	7.64%	6.65%	4.99%	6.57%	3.85%
76	7.74%	8.3%	7.26%	5.48%	7.14%	4.29%
77	8.41%	8.99%	7.9%	6.05%	7.76%	4.79%
78	9.23%	9.82%	8.71%	6.65%	8.45%	5.35%
79	9.99%	10.6%	9.46%	7.31%	9.2%	5.98%
80	11%	11.6%	10.4%	8.01%	10%	6.67%
81	11.7%	12.4%	11.2%	8.75%	10.9%	7.44%
82	12.9%	13.6%	12.4%	9.66%	11.8%	8.29%
83	14%	14.7%	13.5%	10.6%	12.8%	9.22%
84	15.2%	16%	14.7%	11.5%	13.9%	10.2%
85	16.4%	17.1%	16%	12.7%	15%	11.3%
86	17.8%	18.5%	17.3%	13.9%	16.2%	12.5%
87	19.1%	19.7%	18.6%	15.1%	17.5%	13.8%
88	20.5%	21.1%	20%	16.4%	18.9%	15.2%
89	21.8%	22.5%	21.4%	17.9%	20.4%	16.7%
90	23.5%	24.1%	23.1%	19.5%	21.9%	18.2%
91	24.7%	25.3%	24.4%	20.9%	23.6%	19.9%
92	26.5%	27.1%	26.2%	22.6%	25.3%	21.6%
93	28.2%	28.6%	27.9%	24.5%	27%	23.4%
94	29.9%	30.3%	29.6%	26.3%	28.7%	25.3%
95	31.7%	32%	31.5%	27.8%	30.4%	27.2%
96	33.4%	33.6%	33.3%	29.5%	32.2%	29.2%
97	35%	35.2%	34.9%	31.5%	34%	31.2%
98	36.6%	36.6%	36.6%	33.6%	35.8%	33.3%
99	38.5%	38.4%	38.5%	35.7%	37.6%	35.4%
100	40%	39.9%	40.2%	37.6%	39.4%	37.4%

Death rate by age in Equatorial Guinea compared to Tonga

In Equatorial Guinea, the most common age of death is 0, compared to 82 in Tonga. The median age of death is 71.3 in Equatorial Guinea and 77 in Tonga — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Equatorial Guinea			Tonga
	Total	Male	Female	Total	Male	Female
0	4,972	5,488	4,450	807	907	698
1	721	757	684	44.3	49.1	39.1
2	438	462	414	41	45.5	36.2
3	302	320	283.2	38	42.1	33.5
4	216.1	228.6	203.1	35.1	38.8	31.1
5	165.2	175.6	154.5	32.3	35.6	28.8
6	136.7	146.4	126.6	29.6	32.4	26.6
7	116.8	126.1	107.2	27.2	29.4	24.7
8	102.6	111.3	93.6	25.2	26.9	23.3
9	93.4	101.8	84.8	23.8	25.2	22.3
10	88.2	95.9	80.2	23.5	24.7	22.2
11	86	93.2	78.5	24.5	25.7	23.1
12	87.4	94.8	79.8	27.1	28.8	25.4
13	92	100.1	83.7	32.1	34.8	29.4
14	100.1	109.7	90.2	40.1	44.9	35.3
15	111	122.7	99	52	60.1	43.1
16	125.5	141.2	109.3	67.2	80.6	52
17	139.7	160.6	118.1	83.5	104.9	60.8
18	154.8	181.3	127.5	98.6	129.3	67.7
19	167.2	197.9	135.3	110.3	149.1	71.7
20	178.3	212.5	142.7	117.2	162.1	73
21	187.9	224.3	149	119.3	168.7	72.7
22	196.5	233.5	155.8	119.8	171.1	72
23	203.3	239.9	162.3	120.2	172.2	72.1
24	209.3	244.6	169.2	121.1	173.5	73.2
25	214.4	248.1	175.8	122.7	175.8	75.5
26	220.1	252.2	182.9	124.3	179.1	78.7
27	226.2	257	190.2	125.1	183.2	82.4
28	233.5	263.4	198.5	126.2	187.9	86.3
29	241	270.6	205.9	129.6	193.2	90.2
30	251.6	281.1	216.4	133.8	199.1	94.4
31	258.6	288.5	222.6	139	205.9	99
32	272.6	303	235.5	146.5	214	104.2
33	284.9	316	246.7	155.9	223.5	110.4
34	298.6	330	259	164.3	234.9	117.7
35	315	347	273	173.9	248.1	126.1
36	331	364	287.2	185.7	263.2	135.5
37	348	382	301	198.5	280.4	145.6
38	369	404	320	214	299.6	156.4
39	388	424	336	229.1	321	167.9
40	414	452	358	244.4	345	180.3
41	430	470	371	263	371	194
42	461	503	397	286.3	400	209.4
43	482	527	413	312	432	227
44	509	558	434	339	467	246.8
45	542	595	460	371	505	268.7
46	570	627	482	407	547	292.4
47	605	667	510	444	593	318
48	648	714	546	480	642	344
49	690	761	580	515	695	371
50	745	821	629	562	752	399
51	782	861	660	615	812	429
52	843	926	717	654	874	461
53	890	978	758	696	940	497
54	944	1,036	809	764	1,008	535
55	995	1,091	858	831	1,081	578
56	1,054	1,154	915	898	1,157	623
57	1,112	1,216	971	960	1,239	670
58	1,189	1,297	1,047	1,023	1,327	720
59	1,264	1,375	1,120	1,104	1,421	772
60	1,370	1,481	1,230	1,192	1,519	827
61	1,435	1,549	1,296	1,299	1,622	886
62	1,551	1,664	1,415	1,385	1,726	950
63	1,647	1,758	1,515	1,447	1,831	1,022
64	1,748	1,855	1,624	1,531	1,936	1,102
65	1,856	1,957	1,743	1,614	2,040	1,190
66	1,942	2,034	1,844	1,712	2,143	1,287
67	2,052	2,134	1,968	1,827	2,246	1,392
68	2,168	2,237	2,107	1,944	2,348	1,505
69	2,271	2,326	2,229	2,061	2,449	1,626
70	2,420	2,451	2,412	2,163	2,548	1,756
71	2,482	2,500	2,494	2,276	2,643	1,895
72	2,622	2,618	2,661	2,412	2,731	2,043
73	2,705	2,680	2,769	2,502	2,811	2,202
74	2,787	2,735	2,879	2,622	2,881	2,371
75	2,854	2,773	2,974	2,777	2,939	2,549
76	2,887	2,781	3,032	2,894	2,984	2,733
77	2,893	2,762	3,062	3,020	3,014	2,920
78	2,908	2,748	3,108	3,121	3,026	3,105
79	2,857	2,677	3,081	3,201	3,016	3,281
80	2,820	2,614	3,078	3,251	2,980	3,444
81	2,685	2,471	2,956	3,269	2,916	3,585
82	2,609	2,375	2,904	3,293	2,821	3,696
83	2,466	2,220	2,772	3,249	2,697	3,769
84	2,311	2,057	2,621	3,170	2,544	3,798
85	2,111	1,853	2,419	3,085	2,369	3,776
86	1,906	1,654	2,202	2,959	2,176	3,700
87	1,682	1,443	1,958	2,770	1,970	3,567
88	1,461	1,239	1,716	2,547	1,756	3,381
89	1,240	1,040	1,468	2,333	1,536	3,144
90	1,044	863	1,249	2,077	1,317	2,865
91	841	690	1,012	1,794	1,105	2,556
92	678	550	822	1,534	904	2,227
93	529	425	646	1,291	722	1,893
94	404	320	496	1,045	561	1,566
95	300	236.2	371	814	424	1,260
96	216	168.5	268.1	624	312	984
97	150.8	116.9	188	470	223.6	745
98	102.3	78.9	128	345	155.5	546
99	68.2	52.5	85.6	242.4	105	387
100	0	0	0	72.3	5.55	129.4

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 Equatorial Guinea and Tonga 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
• Equatorial Guinea vs Tonga: Numbers and Trends

By topic vs comparisons:

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