Life Expectancy in Equatorial Guinea vs Hungary (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 Equatorial Guinea vs Hungary: 70.9 years vs 77.9 at 30, 78.2 vs 82.5 at 65, 85.8 vs 88.1 at 80 — significantly higher than the 64.1 vs 77.3 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 Hungary.

Table

Current age, years	Total life expectancy, years
	Equatorial Guinea			Hungary
	Average	Male	Female	Average	Male	Female
0	64.1	62.4	66.1	77.3	74.1	80.5
1	67.5	66.1	69.3	77.5	74.3	80.7
2	68	66.6	69.8	77.6	74.3	80.7
3	68.3	66.9	70.1	77.6	74.3	80.7
4	68.6	67.2	70.3	77.6	74.3	80.7
5	68.7	67.3	70.4	77.6	74.3	80.7
6	68.8	67.4	70.5	77.6	74.3	80.7
7	68.9	67.5	70.6	77.6	74.4	80.7
8	69	67.6	70.7	77.6	74.4	80.7
9	69.1	67.7	70.7	77.6	74.4	80.7
10	69.1	67.7	70.8	77.6	74.4	80.7
11	69.2	67.8	70.8	77.6	74.4	80.8
12	69.2	67.9	70.9	77.6	74.4	80.8
13	69.3	67.9	71	77.6	74.4	80.8
14	69.3	68	71	77.7	74.4	80.8
15	69.4	68.1	71.1	77.7	74.4	80.8
16	69.5	68.1	71.1	77.7	74.4	80.8
17	69.5	68.2	71.2	77.7	74.4	80.8
18	69.6	68.3	71.3	77.7	74.4	80.8
19	69.7	68.4	71.3	77.7	74.5	80.8
20	69.8	68.5	71.4	77.7	74.5	80.8
21	69.9	68.6	71.5	77.7	74.5	80.8
22	70	68.7	71.6	77.8	74.5	80.8
23	70.1	68.9	71.7	77.8	74.6	80.9
24	70.2	69	71.7	77.8	74.6	80.9
25	70.3	69.1	71.8	77.8	74.6	80.9
26	70.4	69.2	71.9	77.8	74.7	80.9
27	70.5	69.4	72	77.9	74.7	80.9
28	70.7	69.5	72.1	77.9	74.7	80.9
29	70.8	69.6	72.2	77.9	74.7	80.9
30	70.9	69.7	72.3	77.9	74.8	80.9
31	71	69.8	72.4	78	74.8	81
32	71.1	70	72.5	78	74.8	81
33	71.2	70.1	72.6	78	74.9	81
34	71.4	70.2	72.7	78	74.9	81
35	71.5	70.4	72.8	78.1	75	81
36	71.6	70.5	73	78.1	75	81.1
37	71.8	70.7	73.1	78.2	75	81.1
38	71.9	70.8	73.2	78.2	75.1	81.1
39	72	71	73.3	78.2	75.1	81.1
40	72.2	71.1	73.5	78.3	75.2	81.2
41	72.3	71.3	73.6	78.3	75.2	81.2
42	72.5	71.5	73.7	78.4	75.3	81.3
43	72.7	71.6	73.9	78.4	75.4	81.3
44	72.8	71.8	74	78.5	75.4	81.3
45	73	72	74.2	78.6	75.5	81.4
46	73.2	72.2	74.3	78.6	75.6	81.4
47	73.4	72.4	74.5	78.7	75.7	81.5
48	73.6	72.6	74.7	78.8	75.8	81.6
49	73.8	72.8	74.8	78.9	76	81.6
50	74	73.1	75	79.1	76.1	81.7
51	74.2	73.3	75.2	79.2	76.3	81.8
52	74.4	73.5	75.4	79.3	76.5	81.9
53	74.6	73.8	75.6	79.5	76.7	82
54	74.9	74.1	75.8	79.7	76.9	82.2
55	75.1	74.3	76	79.9	77.1	82.3
56	75.4	74.6	76.2	80.1	77.4	82.4
57	75.7	74.9	76.5	80.3	77.7	82.6
58	75.9	75.2	76.7	80.5	78	82.7
59	76.2	75.5	77	80.8	78.3	82.9
60	76.5	75.9	77.2	81	78.6	83.1
61	76.9	76.2	77.5	81.3	78.9	83.3
62	77.2	76.5	77.8	81.6	79.3	83.5
63	77.5	76.9	78.1	81.9	79.6	83.7
64	77.9	77.3	78.4	82.2	80	83.9
65	78.2	77.7	78.8	82.5	80.4	84.1
66	78.6	78.1	79.1	82.8	80.8	84.3
67	79	78.5	79.5	83.1	81.2	84.5
68	79.4	79	79.9	83.5	81.7	84.8
69	79.9	79.4	80.3	83.8	82.1	85
70	80.3	79.9	80.7	84.1	82.5	85.3
71	80.8	80.4	81.1	84.5	82.9	85.5
72	81.3	80.9	81.6	84.8	83.4	85.8
73	81.8	81.4	82.1	85.2	83.8	86.1
74	82.3	82	82.6	85.5	84.3	86.4
75	82.8	82.5	83.1	85.9	84.7	86.7
76	83.4	83.1	83.6	86.3	85.2	87
77	84	83.7	84.2	86.7	85.7	87.3
78	84.6	84.3	84.8	87.2	86.2	87.7
79	85.2	85	85.4	87.6	86.7	88.1
80	85.8	85.6	86	88.1	87.3	88.5
81	86.5	86.3	86.6	88.6	87.9	88.9
82	87.2	87	87.3	89.1	88.5	89.4
83	87.8	87.7	88	89.6	89.1	89.9
84	88.6	88.4	88.7	90.2	89.7	90.4
85	89.3	89.2	89.4	90.8	90.3	91
86	90	89.9	90.1	91.4	91	91.6
87	90.8	90.7	90.9	92	91.7	92.2
88	91.6	91.5	91.6	92.7	92.3	92.8
89	92.4	92.3	92.4	93.3	93	93.4
90	93.2	93.1	93.2	94	93.8	94.1
91	94	94	94	94.7	94.5	94.8
92	94.8	94.8	94.9	95.5	95.3	95.5
93	95.7	95.6	95.7	96.2	96.1	96.3
94	96.5	96.5	96.5	97	96.9	97.1
95	97.4	97.4	97.4	97.8	97.7	97.9
96	98.3	98.3	98.3	98.6	98.5	98.7
97	99.2	99.2	99.2	99.5	99.4	99.5
98	100.1	100	100.1	100.3	100.2	100.4
99	101	100.9	101	101.2	101.1	101.3
100	101.9	101.8	101.9	102.1	101.9	102.2

Odds of living to age in Equatorial Guinea vs Hungary

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 70.9% in Equatorial Guinea and 88.4% in Hungary are expected to survive till at least 60 years old, 52.8% and 73.8% will live to 70 years or older, 25.5% and 50.8% to 80+ years, and 4.39% and 17.3% 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			Hungary
	Average	Male	Female	Average	Male	Female
1	94.9%	94.4%	95.4%	99.7%	99.7%	99.7%
2	94.2%	93.6%	94.7%	99.7%	99.7%	99.7%
3	93.7%	93.2%	94.3%	99.7%	99.7%	99.7%
4	93.4%	92.8%	94%	99.7%	99.6%	99.7%
5	93.2%	92.6%	93.8%	99.7%	99.6%	99.7%
6	93%	92.4%	93.7%	99.6%	99.6%	99.7%
7	92.9%	92.3%	93.5%	99.6%	99.6%	99.7%
8	92.8%	92.2%	93.4%	99.6%	99.6%	99.7%
9	92.7%	92.1%	93.3%	99.6%	99.6%	99.7%
10	92.6%	91.9%	93.2%	99.6%	99.6%	99.6%
11	92.5%	91.9%	93.2%	99.6%	99.6%	99.6%
12	92.4%	91.8%	93.1%	99.6%	99.6%	99.6%
13	92.3%	91.7%	93%	99.6%	99.6%	99.6%
14	92.2%	91.6%	92.9%	99.6%	99.5%	99.6%
15	92.1%	91.4%	92.8%	99.6%	99.5%	99.6%
16	92%	91.3%	92.7%	99.6%	99.5%	99.6%
17	91.9%	91.2%	92.6%	99.5%	99.5%	99.6%
18	91.7%	91%	92.5%	99.5%	99.5%	99.6%
19	91.6%	90.8%	92.4%	99.5%	99.4%	99.6%
20	91.4%	90.6%	92.2%	99.4%	99.4%	99.5%
21	91.2%	90.4%	92.1%	99.4%	99.3%	99.5%
22	91%	90.2%	91.9%	99.4%	99.3%	99.5%
23	90.8%	90%	91.8%	99.3%	99.2%	99.5%
24	90.6%	89.7%	91.6%	99.3%	99.2%	99.4%
25	90.4%	89.5%	91.4%	99.3%	99.1%	99.4%
26	90.2%	89.2%	91.2%	99.2%	99.1%	99.4%
27	90%	89%	91.1%	99.2%	99%	99.4%
28	89.8%	88.7%	90.9%	99.2%	99%	99.4%
29	89.5%	88.4%	90.7%	99.1%	98.9%	99.3%
30	89.3%	88.2%	90.5%	99.1%	98.8%	99.3%
31	89%	87.9%	90.2%	99%	98.7%	99.3%
32	88.8%	87.6%	90%	98.9%	98.7%	99.2%
33	88.5%	87.3%	89.8%	98.9%	98.6%	99.2%
34	88.2%	87%	89.5%	98.8%	98.5%	99.2%
35	87.9%	86.6%	89.3%	98.7%	98.4%	99.1%
36	87.6%	86.3%	89%	98.7%	98.3%	99.1%
37	87.2%	85.9%	88.7%	98.6%	98.2%	99%
38	86.9%	85.5%	88.4%	98.5%	98%	98.9%
39	86.5%	85.1%	88.1%	98.4%	97.9%	98.9%
40	86.1%	84.7%	87.7%	98.3%	97.8%	98.8%
41	85.7%	84.2%	87.3%	98.1%	97.6%	98.7%
42	85.3%	83.7%	87%	98%	97.4%	98.6%
43	84.8%	83.2%	86.6%	97.9%	97.2%	98.5%
44	84.3%	82.7%	86.2%	97.7%	97%	98.4%
45	83.8%	82.1%	85.7%	97.5%	96.8%	98.3%
46	83.2%	81.5%	85.2%	97.3%	96.5%	98.1%
47	82.7%	80.9%	84.8%	97%	96.1%	97.9%
48	82.1%	80.2%	84.2%	96.7%	95.7%	97.7%
49	81.4%	79.5%	83.7%	96.4%	95.3%	97.5%
50	80.7%	78.8%	83.1%	96%	94.7%	97.3%
51	80%	77.9%	82.5%	95.5%	94.1%	97%
52	79.2%	77.1%	81.8%	95%	93.4%	96.7%
53	78.3%	76.1%	81.1%	94.4%	92.6%	96.3%
54	77.4%	75.2%	80.3%	93.8%	91.8%	95.9%
55	76.5%	74.1%	79.5%	93.1%	90.8%	95.4%
56	75.5%	73%	78.7%	92.3%	89.8%	94.9%
57	74.4%	71.9%	77.7%	91.4%	88.6%	94.4%
58	73.3%	70.6%	76.8%	90.5%	87.3%	93.8%
59	72.1%	69.3%	75.7%	89.5%	85.9%	93.2%
60	70.9%	68%	74.6%	88.4%	84.5%	92.5%
61	69.5%	66.5%	73.4%	87.3%	83%	91.7%
62	68.1%	64.9%	72.1%	86%	81.3%	90.9%
63	66.5%	63.3%	70.6%	84.8%	79.6%	90%
64	64.9%	61.5%	69.1%	83.4%	77.8%	89.1%
65	63.1%	59.7%	67.5%	81.9%	75.8%	88.1%
66	61.3%	57.7%	65.8%	80.4%	73.7%	87.1%
67	59.3%	55.7%	63.9%	78.9%	71.7%	86%
68	57.3%	53.5%	61.9%	77.2%	69.6%	84.8%
69	55.1%	51.3%	59.8%	75.5%	67.5%	83.5%
70	52.8%	49%	57.6%	73.8%	65.3%	82.2%
71	50.4%	46.5%	55.2%	72%	63%	80.8%
72	48%	44%	52.7%	70.1%	60.7%	79.3%
73	45.3%	41.4%	50.1%	68.2%	58.3%	77.7%
74	42.6%	38.8%	47.3%	66.1%	55.8%	75.9%
75	39.9%	36%	44.4%	63.9%	53.3%	74.1%
76	37%	33.3%	41.5%	61.6%	50.7%	72%
77	34.1%	30.5%	38.4%	59.1%	48%	69.7%
78	31.3%	27.8%	35.4%	56.5%	45.1%	67.3%
79	28.4%	25%	32.3%	53.7%	42.2%	64.6%
80	25.5%	22.4%	29.2%	50.8%	39.3%	61.6%
81	22.7%	19.8%	26.2%	47.7%	36.2%	58.4%
82	20.1%	17.3%	23.2%	44.4%	33.1%	54.9%
83	17.5%	14.9%	20.3%	41%	30.1%	51.2%
84	15%	12.7%	17.6%	37.5%	27%	47.2%
85	12.7%	10.7%	15%	34%	24%	43.2%
86	10.6%	8.86%	12.6%	30.5%	21.2%	39%
87	8.73%	7.22%	10.4%	27%	18.4%	34.8%
88	7.06%	5.79%	8.48%	23.7%	15.8%	30.7%
89	5.62%	4.57%	6.78%	20.4%	13.4%	26.7%
90	4.39%	3.54%	5.33%	17.3%	11.1%	22.8%
91	3.36%	2.69%	4.09%	14.4%	9.08%	19.1%
92	2.52%	2.01%	3.09%	11.7%	7.24%	15.7%
93	1.85%	1.46%	2.28%	9.32%	5.63%	12.6%
94	1.33%	1.04%	1.65%	7.23%	4.26%	9.82%
95	0.93%	0.73%	1.16%	5.49%	3.17%	7.5%
96	0.64%	0.49%	0.79%	4.06%	2.31%	5.58%
97	0.42%	0.33%	0.53%	2.92%	1.63%	4.03%
98	0.28%	0.21%	0.34%	2.03%	1.12%	2.82%
99	0.17%	0.13%	0.22%	1.37%	0.75%	1.91%
100	0.11%	0.08%	0.13%	0.9%	0.48%	1.25%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 5.08% in the birth year in Equatorial Guinea and 0.28% in Hungary, 0.29% vs 0.05% at age 30, 1.94% vs 1.3% at 60, and 11% vs 6.17% at 80.

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

Table

Age	Probability of dying
	Equatorial Guinea			Hungary
	Average	Male	Female	Average	Male	Female
0	5.08%	5.59%	4.56%	0.28%	0.3%	0.26%
1	0.77%	0.82%	0.73%	0.03%	0.02%	0.03%
2	0.47%	0.5%	0.45%	0.02%	0.02%	0.01%
3	0.33%	0.35%	0.31%	0.01%	0.01%	0.01%
4	0.23%	0.25%	0.22%	0.01%	0.01%	0.008%
5	0.18%	0.19%	0.17%	0.008%	0.009%	0.007%
6	0.15%	0.16%	0.14%	0.007%	0.006%	0.009%
7	0.13%	0.14%	0.12%	0.007%	0.007%	0.007%
8	0.11%	0.12%	0.1%	0.009%	0.01%	0.007%
9	0.1%	0.11%	0.09%	0.01%	0.01%	0.009%
10	0.1%	0.11%	0.09%	0.009%	0.009%	0.008%
11	0.09%	0.1%	0.09%	0.007%	0.008%	0.005%
12	0.1%	0.1%	0.09%	0.009%	0.01%	0.006%
13	0.1%	0.11%	0.09%	0.01%	0.01%	0.008%
14	0.11%	0.12%	0.1%	0.01%	0.02%	0.01%
15	0.12%	0.14%	0.11%	0.01%	0.02%	0.01%
16	0.14%	0.16%	0.12%	0.02%	0.02%	0.01%
17	0.15%	0.18%	0.13%	0.02%	0.03%	0.02%
18	0.17%	0.2%	0.14%	0.03%	0.04%	0.02%
19	0.19%	0.22%	0.15%	0.03%	0.05%	0.02%
20	0.2%	0.24%	0.16%	0.03%	0.05%	0.02%
21	0.21%	0.25%	0.17%	0.03%	0.04%	0.02%
22	0.22%	0.26%	0.17%	0.03%	0.05%	0.02%
23	0.23%	0.27%	0.18%	0.04%	0.05%	0.02%
24	0.23%	0.28%	0.19%	0.04%	0.05%	0.02%
25	0.24%	0.28%	0.2%	0.04%	0.06%	0.02%
26	0.25%	0.29%	0.2%	0.04%	0.06%	0.02%
27	0.26%	0.29%	0.21%	0.04%	0.06%	0.02%
28	0.26%	0.3%	0.22%	0.05%	0.07%	0.03%
29	0.27%	0.31%	0.23%	0.05%	0.07%	0.03%
30	0.29%	0.32%	0.24%	0.05%	0.07%	0.03%
31	0.29%	0.33%	0.25%	0.06%	0.08%	0.04%
32	0.31%	0.35%	0.27%	0.07%	0.09%	0.04%
33	0.33%	0.37%	0.28%	0.07%	0.09%	0.04%
34	0.34%	0.38%	0.29%	0.07%	0.1%	0.05%
35	0.36%	0.41%	0.31%	0.08%	0.11%	0.06%
36	0.38%	0.43%	0.33%	0.09%	0.12%	0.06%
37	0.4%	0.45%	0.34%	0.09%	0.12%	0.06%
38	0.43%	0.48%	0.37%	0.1%	0.13%	0.07%
39	0.45%	0.5%	0.39%	0.11%	0.14%	0.08%
40	0.49%	0.54%	0.41%	0.12%	0.16%	0.08%
41	0.51%	0.56%	0.43%	0.14%	0.19%	0.09%
42	0.55%	0.61%	0.46%	0.16%	0.21%	0.11%
43	0.57%	0.64%	0.48%	0.17%	0.23%	0.12%
44	0.61%	0.68%	0.51%	0.2%	0.26%	0.13%
45	0.65%	0.73%	0.54%	0.23%	0.3%	0.15%
46	0.69%	0.77%	0.57%	0.27%	0.36%	0.18%
47	0.74%	0.83%	0.61%	0.31%	0.42%	0.2%
48	0.79%	0.89%	0.65%	0.36%	0.49%	0.22%
49	0.85%	0.96%	0.7%	0.42%	0.57%	0.26%
50	0.93%	1.05%	0.76%	0.48%	0.65%	0.3%
51	0.98%	1.11%	0.81%	0.53%	0.73%	0.33%
52	1.07%	1.21%	0.88%	0.6%	0.83%	0.37%
53	1.14%	1.29%	0.94%	0.68%	0.93%	0.42%
54	1.22%	1.38%	1.01%	0.75%	1.04%	0.47%
55	1.3%	1.48%	1.08%	0.84%	1.16%	0.52%
56	1.4%	1.58%	1.17%	0.93%	1.3%	0.57%
57	1.5%	1.7%	1.25%	1.03%	1.44%	0.63%
58	1.62%	1.84%	1.37%	1.12%	1.57%	0.69%
59	1.75%	1.99%	1.48%	1.2%	1.68%	0.75%
60	1.94%	2.18%	1.65%	1.3%	1.83%	0.81%
61	2.07%	2.33%	1.77%	1.4%	1.98%	0.88%
62	2.28%	2.56%	1.97%	1.49%	2.09%	0.96%
63	2.48%	2.78%	2.15%	1.64%	2.33%	1.04%
64	2.69%	3.02%	2.35%	1.78%	2.57%	1.11%
65	2.94%	3.28%	2.58%	1.84%	2.68%	1.16%
66	3.17%	3.52%	2.8%	1.91%	2.75%	1.25%
67	3.45%	3.83%	3.08%	2.06%	2.92%	1.39%
68	3.78%	4.17%	3.4%	2.18%	3.08%	1.5%
69	4.11%	4.53%	3.72%	2.29%	3.25%	1.58%
70	4.57%	4.99%	4.18%	2.44%	3.46%	1.69%
71	4.91%	5.36%	4.51%	2.62%	3.69%	1.85%
72	5.46%	5.93%	5.04%	2.82%	3.94%	2.04%
73	5.95%	6.45%	5.52%	3.03%	4.22%	2.24%
74	6.52%	7.03%	6.07%	3.29%	4.53%	2.49%
75	7.14%	7.67%	6.67%	3.61%	4.89%	2.79%
76	7.78%	8.32%	7.29%	4%	5.39%	3.13%
77	8.44%	9.01%	7.93%	4.44%	5.94%	3.53%
78	9.26%	9.85%	8.74%	4.91%	6.43%	4.01%
79	10%	10.6%	9.49%	5.47%	7.01%	4.6%
80	11%	11.6%	10.5%	6.17%	7.79%	5.28%
81	11.7%	12.4%	11.2%	6.86%	8.52%	5.97%
82	12.9%	13.6%	12.4%	7.6%	9.26%	6.75%
83	14%	14.7%	13.5%	8.48%	10.1%	7.68%
84	15.3%	16%	14.8%	9.37%	11%	8.61%
85	16.5%	17.2%	16%	10.3%	11.9%	9.6%
86	17.8%	18.5%	17.3%	11.4%	13%	10.7%
87	19.1%	19.8%	18.6%	12.5%	14.1%	11.9%
88	20.5%	21.2%	20%	13.7%	15.5%	13.1%
89	21.9%	22.5%	21.4%	15.2%	16.9%	14.6%
90	23.5%	24.1%	23.2%	16.8%	18.4%	16.3%
91	24.8%	25.4%	24.4%	18.5%	20.2%	18%
92	26.6%	27.1%	26.2%	20.5%	22.3%	19.8%
93	28.2%	28.7%	27.9%	22.4%	24.2%	21.8%
94	29.9%	30.3%	29.7%	24.1%	25.6%	23.6%
95	31.8%	32.1%	31.6%	26%	27.1%	25.6%
96	33.4%	33.7%	33.3%	28.2%	29.4%	27.8%
97	35.1%	35.2%	35%	30.3%	31.4%	30%
98	36.6%	36.6%	36.6%	32.5%	33.3%	32.2%
99	38.5%	38.4%	38.6%	34.7%	35.4%	34.5%
100	40.1%	39.9%	40.2%	36.9%	37.5%	36.7%

Death rate by age in Equatorial Guinea compared to Hungary

In Equatorial Guinea, the most common age of death is 0, compared to 84 in Hungary. The median age of death is 71.2 in Equatorial Guinea and 80.3 in Hungary — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Equatorial Guinea			Hungary
	Total	Male	Female	Total	Male	Female
0	5,077	5,587	4,563	280.4	300	259.4
1	736	770	700	25.5	24	27.1
2	446	469	423	16.6	20.7	12.3
3	307	324	289.1	12.4	12.7	12.2
4	219.5	231.3	207.2	10	12.2	7.73
5	167.7	177.6	157.6	8.3	9.3	7.24
6	138.8	148.1	129.1	7.3	6	8.68
7	118.7	127.7	109.4	7.26	7.28	7.23
8	104.3	112.8	95.5	8.58	10.5	6.5
9	95	103.1	86.6	10.4	11.6	9.07
10	89.7	97.3	81.9	8.64	9.32	7.93
11	87.5	94.6	80.2	6.85	8.21	5.43
12	89	96.2	81.5	8.77	11.5	5.83
13	93.7	101.6	85.5	11.1	13.9	7.99
14	101.9	111.3	92.1	12.7	15.5	9.73
15	113	124.5	101.1	14.1	18.1	9.87
16	127.7	143.3	111.6	17.1	22.8	11.1
17	142.1	162.9	120.7	23	30.6	15
18	157.5	183.8	130.2	29.8	41.7	17.3
19	170	200.7	138.2	34.3	49	18.7
20	181.6	215.4	145.7	34.4	47.3	20.7
21	191.4	227.4	152.1	33.5	44.6	21.8
22	199.8	236.6	158.9	33.5	44.9	21.4
23	206.7	243	165.6	34.8	49.1	19.7
24	212.7	247.8	172.6	37	53.4	19.5
25	217.8	251.4	179.2	38.9	54.9	21.9
26	223.5	255.4	186.4	39.8	57	21.6
27	229.6	260.2	193.8	42.4	61.7	21.9
28	237.1	266.7	202.2	48.2	68.5	26.2
29	244.6	274	209.7	51.1	71.6	29.2
30	255.3	284.5	220.3	49.5	69.5	28.2
31	262.4	291.9	226.5	57.3	77.7	35.5
32	276.6	307	239.6	65.7	87.2	42.6
33	289.1	319	250.9	66.3	88.8	41.9
34	303	334	263.3	73.8	96.4	49.4
35	319	351	277.4	83.7	107.6	58
36	336	368	291.8	88	115.7	58
37	352	386	306	92.9	122.3	60.9
38	374	408	325	103.1	130.1	74.1
39	393	428	341	108.4	138.7	76
40	418	456	363	117.7	155.2	77.9
41	435	474	375	138.5	181.7	93.4
42	465	507	401	155.8	201.8	107.5
43	487	532	418	171.1	222	118.1
44	514	562	439	192.2	253.2	129.3
45	546	599	464	223	294.6	148.8
46	574	631	487	262.4	344	177.6
47	610	671	514	302	404	195.4
48	652	718	551	346	471	215.9
49	694	766	585	401	540	254.7
50	749	825	634	456	613	293
51	785	865	664	508	691	318
52	847	930	721	569	772	358
53	893	982	763	638	859	408
54	946	1,039	813	708	953	454
55	997	1,094	862	781	1,057	496
56	1,056	1,157	919	859	1,169	541
57	1,114	1,219	975	938	1,278	593
58	1,191	1,300	1,051	1,010	1,369	647
59	1,265	1,378	1,124	1,072	1,442	698
60	1,371	1,484	1,234	1,150	1,547	753
61	1,437	1,551	1,298	1,222	1,639	811
62	1,552	1,665	1,417	1,280	1,701	870
63	1,647	1,759	1,517	1,386	1,856	935
64	1,747	1,855	1,625	1,481	2,000	989
65	1,855	1,956	1,744	1,507	2,027	1,024
66	1,940	2,033	1,844	1,538	2,031	1,086
67	2,048	2,132	1,968	1,624	2,092	1,197
68	2,164	2,234	2,105	1,683	2,142	1,271
69	2,266	2,322	2,227	1,731	2,191	1,322
70	2,415	2,446	2,409	1,800	2,260	1,393
71	2,476	2,494	2,489	1,885	2,328	1,498
72	2,616	2,611	2,656	1,975	2,393	1,619
73	2,699	2,671	2,762	2,066	2,460	1,743
74	2,780	2,726	2,871	2,174	2,527	1,888
75	2,846	2,762	2,964	2,307	2,605	2,065
76	2,878	2,769	3,020	2,466	2,735	2,256
77	2,882	2,749	3,049	2,627	2,848	2,464
78	2,894	2,734	3,094	2,775	2,899	2,699
79	2,840	2,662	3,065	2,941	2,960	2,967
80	2,802	2,598	3,060	3,133	3,059	3,250
81	2,667	2,455	2,937	3,269	3,085	3,484
82	2,592	2,359	2,884	3,376	3,066	3,706
83	2,449	2,203	2,751	3,480	3,037	3,930
84	2,295	2,041	2,600	3,518	2,971	4,066
85	2,096	1,838	2,398	3,510	2,870	4,145
86	1,891	1,639	2,182	3,476	2,743	4,192
87	1,667	1,429	1,939	3,388	2,602	4,147
88	1,447	1,226	1,698	3,243	2,446	4,008
89	1,227	1,028	1,452	3,099	2,259	3,887
90	1,033	854	1,234	2,915	2,049	3,707
91	831	681	999	2,670	1,833	3,427
92	670	543	811	2,401	1,617	3,106
93	523	419	637	2,089	1,364	2,734
94	398	316	488	1,746	1,091	2,321
95	296.2	233	365	1,426	860	1,919
96	212.9	166.1	263.8	1,145	679	1,551
97	148.5	115.2	184.9	885	513	1,209
98	100.7	77.8	125.8	660	373	909
99	67.1	51.7	84.1	476	264.8	660
100	0	0	0	203.5	89.1	302

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 Hungary 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 Hungary: Statistical Comparison

By topic vs comparisons:

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