Life Expectancy in Equatorial Guinea vs Hungary (1950-2026)

Life expectancy by current age

Chart Table

Equatorial Guinea

Male

Female

Hungary

Male

Female

1x

Current age, years	Total life expectancy, years
	Equatorial Guinea			Hungary
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	102.1	102	102.2
99	101	100.9	101	101.2	101.1	101.3
98	100.1	100.1	100.1	100.3	100.2	100.4
97	99.2	99.2	99.2	99.5	99.4	99.5
96	98.3	98.3	98.3	98.6	98.5	98.7
95	97.4	97.4	97.4	97.8	97.7	97.9
94	96.5	96.5	96.5	97	96.9	97.1
93	95.7	95.6	95.7	96.3	96.1	96.3
92	94.8	94.8	94.9	95.5	95.3	95.6
91	94	94	94	94.8	94.5	94.8
90	93.2	93.1	93.2	94	93.8	94.1
89	92.4	92.3	92.4	93.4	93.1	93.5
88	91.6	91.5	91.6	92.7	92.4	92.8
87	90.8	90.7	90.9	92.1	91.7	92.2
86	90	89.9	90.1	91.4	91	91.6
85	89.3	89.2	89.4	90.8	90.4	91
84	88.6	88.4	88.7	90.2	89.7	90.5
83	87.9	87.7	88	89.7	89.1	89.9
82	87.2	87	87.3	89.1	88.5	89.4
81	86.5	86.3	86.6	88.6	87.9	89
80	85.8	85.6	86	88.1	87.4	88.5
79	85.2	85	85.4	87.7	86.8	88.1
78	84.6	84.4	84.8	87.2	86.3	87.7
77	84	83.7	84.2	86.8	85.8	87.4
76	83.4	83.1	83.7	86.4	85.3	87
75	82.9	82.6	83.1	86	84.8	86.7
74	82.3	82	82.6	85.6	84.4	86.4
73	81.8	81.4	82.1	85.3	83.9	86.1
72	81.3	80.9	81.6	84.9	83.5	85.9
71	80.8	80.4	81.2	84.6	83	85.6
70	80.3	79.9	80.7	84.2	82.6	85.4
69	79.9	79.4	80.3	83.9	82.2	85.1
68	79.5	79	79.9	83.6	81.8	84.9
67	79	78.6	79.5	83.2	81.4	84.6
66	78.7	78.1	79.2	82.9	81	84.4
65	78.3	77.7	78.8	82.6	80.5	84.2
64	77.9	77.3	78.5	82.3	80.1	84
63	77.5	76.9	78.1	82	79.8	83.8
62	77.2	76.6	77.8	81.7	79.4	83.6
61	76.9	76.2	77.6	81.4	79.1	83.4
60	76.6	75.9	77.3	81.2	78.7	83.2
59	76.3	75.6	77	80.9	78.4	83
58	76	75.2	76.8	80.7	78.1	82.8
57	75.7	74.9	76.5	80.4	77.8	82.7
56	75.4	74.7	76.3	80.2	77.5	82.5
55	75.2	74.4	76.1	80	77.3	82.4
54	74.9	74.1	75.9	79.8	77.1	82.3
53	74.7	73.8	75.6	79.6	76.8	82.2
52	74.5	73.6	75.4	79.5	76.6	82
51	74.2	73.3	75.3	79.3	76.5	82
50	74	73.1	75.1	79.2	76.3	81.9
49	73.8	72.9	74.9	79.1	76.1	81.8
48	73.6	72.7	74.7	79	76	81.7
47	73.4	72.5	74.6	78.9	75.9	81.6
46	73.2	72.3	74.4	78.8	75.8	81.6
45	73.1	72.1	74.2	78.7	75.7	81.5
44	72.9	71.9	74.1	78.6	75.6	81.5
43	72.7	71.7	73.9	78.6	75.5	81.4
42	72.5	71.5	73.8	78.5	75.5	81.4
41	72.4	71.4	73.7	78.5	75.4	81.3
40	72.2	71.2	73.5	78.4	75.4	81.3
39	72.1	71	73.4	78.4	75.3	81.3
38	72	70.9	73.3	78.3	75.3	81.3
37	71.8	70.7	73.2	78.3	75.2	81.2
36	71.7	70.6	73	78.3	75.2	81.2
35	71.6	70.4	72.9	78.2	75.1	81.2
34	71.4	70.3	72.8	78.2	75.1	81.1
33	71.3	70.2	72.7	78.2	75.1	81.1
32	71.2	70.1	72.6	78.1	75	81.1
31	71.1	69.9	72.5	78.1	75	81.1
30	71	69.8	72.4	78.1	75	81.1
29	70.8	69.7	72.3	78.1	74.9	81.1
28	70.7	69.6	72.2	78	74.9	81
27	70.6	69.4	72.1	78	74.9	81
26	70.5	69.3	72	78	74.8	81
25	70.4	69.2	71.9	78	74.8	81
24	70.3	69.1	71.8	78	74.8	81
23	70.2	68.9	71.8	77.9	74.8	81
22	70.1	68.8	71.7	77.9	74.7	81
21	70	68.7	71.6	77.9	74.7	81
20	69.9	68.6	71.5	77.9	74.7	81
19	69.8	68.5	71.4	77.9	74.7	80.9
18	69.7	68.4	71.4	77.8	74.6	80.9
17	69.6	68.3	71.3	77.8	74.6	80.9
16	69.6	68.2	71.2	77.8	74.6	80.9
15	69.5	68.2	71.2	77.8	74.6	80.9
14	69.5	68.1	71.1	77.8	74.6	80.9
13	69.4	68	71.1	77.8	74.6	80.9
12	69.3	68	71	77.8	74.6	80.9
11	69.3	67.9	71	77.8	74.6	80.9
10	69.2	67.9	70.9	77.8	74.6	80.9
9	69.2	67.8	70.9	77.8	74.5	80.9
8	69.1	67.7	70.8	77.8	74.5	80.9
7	69	67.6	70.7	77.8	74.5	80.9
6	68.9	67.5	70.6	77.8	74.5	80.9
5	68.8	67.4	70.5	77.8	74.5	80.9
4	68.7	67.3	70.4	77.7	74.5	80.9
3	68.5	67	70.2	77.7	74.5	80.8
2	68.2	66.7	69.9	77.7	74.5	80.8
1	67.7	66.2	69.4	77.7	74.5	80.8
0	64.3	62.6	66.3	77.5	74.3	80.6

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 78.1 in Hungary, rising to 78.3 and 82.6 at 65, and to 85.8 and 88.1 at 80 — higher than the 64.3 and 77.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Equatorial Guinea

Male

Female

Hungary

Male

Female

1x

Age	Survival probability
	Equatorial Guinea			Hungary
	Average	Male	Female	Average	Male	Female
100	0.11%	0.08%	0.14%	0.94%	0.51%	1.3%
99	0.18%	0.14%	0.22%	1.43%	0.79%	1.99%
98	0.28%	0.22%	0.35%	2.12%	1.18%	2.92%
97	0.43%	0.33%	0.54%	3.03%	1.71%	4.17%
96	0.65%	0.5%	0.81%	4.21%	2.42%	5.76%
95	0.95%	0.74%	1.18%	5.67%	3.31%	7.72%
94	1.35%	1.06%	1.67%	7.46%	4.44%	10.1%
93	1.88%	1.48%	2.32%	9.59%	5.84%	12.9%
92	2.56%	2.03%	3.14%	12%	7.51%	16%
91	3.4%	2.72%	4.15%	14.8%	9.39%	19.5%
90	4.44%	3.58%	5.4%	17.7%	11.5%	23.2%
89	5.68%	4.62%	6.87%	20.8%	13.8%	27.2%
88	7.14%	5.86%	8.58%	24.1%	16.3%	31.2%
87	8.83%	7.31%	10.5%	27.5%	18.9%	35.4%
86	10.7%	8.96%	12.7%	31%	21.7%	39.6%
85	12.8%	10.8%	15.2%	34.6%	24.6%	43.7%
84	15.2%	12.9%	17.8%	38.1%	27.6%	47.8%
83	17.6%	15.1%	20.6%	41.6%	30.7%	51.7%
82	20.2%	17.5%	23.5%	44.9%	33.7%	55.4%
81	22.9%	19.9%	26.4%	48.2%	36.8%	58.9%
80	25.7%	22.6%	29.5%	51.3%	39.9%	62.1%
79	28.6%	25.2%	32.6%	54.3%	42.9%	65%
78	31.5%	28%	35.7%	57%	45.7%	67.7%
77	34.4%	30.7%	38.7%	59.6%	48.6%	70.1%
76	37.3%	33.5%	41.8%	62.1%	51.3%	72.4%
75	40.1%	36.3%	44.7%	64.4%	53.9%	74.4%
74	42.9%	39%	47.6%	66.5%	56.4%	76.3%
73	45.6%	41.7%	50.4%	68.6%	58.9%	78%
72	48.2%	44.3%	53.1%	70.5%	61.2%	79.6%
71	50.7%	46.8%	55.6%	72.4%	63.5%	81.1%
70	53.1%	49.3%	58%	74.2%	65.8%	82.5%
69	55.4%	51.6%	60.2%	75.9%	67.9%	83.8%
68	57.6%	53.8%	62.3%	77.5%	70.1%	85%
67	59.6%	56%	64.3%	79.2%	72.1%	86.2%
66	61.6%	58%	66.1%	80.7%	74.1%	87.3%
65	63.4%	60%	67.9%	82.2%	76.1%	88.3%
64	65.2%	61.8%	69.5%	83.6%	78.1%	89.3%
63	66.8%	63.6%	71%	85%	79.9%	90.2%
62	68.4%	65.2%	72.4%	86.3%	81.6%	91%
61	69.8%	66.8%	73.7%	87.5%	83.2%	91.8%
60	71.2%	68.3%	74.9%	88.6%	84.8%	92.6%
59	72.5%	69.6%	76.1%	89.7%	86.2%	93.3%
58	73.6%	70.9%	77.1%	90.6%	87.5%	93.9%
57	74.8%	72.2%	78.1%	91.6%	88.8%	94.5%
56	75.8%	73.3%	79%	92.4%	89.9%	95%
55	76.8%	74.4%	79.8%	93.2%	91%	95.5%
54	77.7%	75.4%	80.7%	93.9%	91.9%	96%
53	78.6%	76.4%	81.4%	94.5%	92.8%	96.4%
52	79.5%	77.3%	82.1%	95.1%	93.5%	96.7%
51	80.3%	78.2%	82.8%	95.6%	94.2%	97%
50	81%	79%	83.4%	96%	94.8%	97.3%
49	81.7%	79.8%	84%	96.4%	95.3%	97.6%
48	82.3%	80.5%	84.5%	96.8%	95.8%	97.8%
47	82.9%	81.2%	85.1%	97.1%	96.2%	98%
46	83.5%	81.8%	85.5%	97.3%	96.5%	98.1%
45	84.1%	82.4%	86%	97.5%	96.8%	98.3%
44	84.6%	82.9%	86.4%	97.7%	97.1%	98.4%
43	85.1%	83.5%	86.8%	97.9%	97.3%	98.5%
42	85.5%	84%	87.2%	98%	97.5%	98.6%
41	85.9%	84.4%	87.6%	98.2%	97.7%	98.7%
40	86.4%	84.9%	88%	98.3%	97.8%	98.8%
39	86.7%	85.3%	88.3%	98.4%	98%	98.9%
38	87.1%	85.7%	88.6%	98.5%	98.1%	99%
37	87.5%	86.1%	88.9%	98.6%	98.2%	99%
36	87.8%	86.5%	89.2%	98.7%	98.3%	99.1%
35	88.1%	86.8%	89.5%	98.8%	98.4%	99.1%
34	88.4%	87.2%	89.7%	98.8%	98.5%	99.2%
33	88.7%	87.5%	90%	98.9%	98.6%	99.2%
32	89%	87.8%	90.2%	99%	98.7%	99.3%
31	89.2%	88.1%	90.4%	99%	98.8%	99.3%
30	89.5%	88.3%	90.7%	99.1%	98.8%	99.3%
29	89.7%	88.6%	90.9%	99.1%	98.9%	99.4%
28	89.9%	88.9%	91.1%	99.2%	99%	99.4%
27	90.2%	89.1%	91.3%	99.2%	99%	99.4%
26	90.4%	89.4%	91.4%	99.3%	99.1%	99.4%
25	90.6%	89.6%	91.6%	99.3%	99.1%	99.4%
24	90.8%	89.9%	91.8%	99.3%	99.2%	99.5%
23	91%	90.1%	92%	99.4%	99.2%	99.5%
22	91.2%	90.3%	92.1%	99.4%	99.3%	99.5%
21	91.4%	90.6%	92.3%	99.4%	99.3%	99.5%
20	91.6%	90.8%	92.4%	99.5%	99.4%	99.5%
19	91.8%	91%	92.5%	99.5%	99.4%	99.6%
18	91.9%	91.2%	92.7%	99.5%	99.5%	99.6%
17	92%	91.3%	92.8%	99.5%	99.5%	99.6%
16	92.2%	91.5%	92.9%	99.6%	99.5%	99.6%
15	92.3%	91.6%	93%	99.6%	99.5%	99.6%
14	92.4%	91.7%	93.1%	99.6%	99.6%	99.6%
13	92.5%	91.8%	93.2%	99.6%	99.6%	99.6%
12	92.6%	91.9%	93.2%	99.6%	99.6%	99.6%
11	92.6%	92%	93.3%	99.6%	99.6%	99.6%
10	92.7%	92.1%	93.4%	99.6%	99.6%	99.7%
9	92.8%	92.2%	93.5%	99.6%	99.6%	99.7%
8	92.9%	92.3%	93.6%	99.6%	99.6%	99.7%
7	93%	92.4%	93.7%	99.7%	99.6%	99.7%
6	93.2%	92.6%	93.8%	99.7%	99.6%	99.7%
5	93.4%	92.7%	94%	99.7%	99.6%	99.7%
4	93.6%	93%	94.2%	99.7%	99.7%	99.7%
3	93.9%	93.3%	94.5%	99.7%	99.7%	99.7%
2	94.3%	93.8%	94.9%	99.7%	99.7%	99.7%
1	95%	94.5%	95.5%	99.7%	99.7%	99.7%

This chart shows the odds of living to each age from birth. 71.2% of newborns in Equatorial Guinea and 88.6% in Hungary are expected to live past 60, 53.1% and 74.2% past 70, 25.7% and 51.3% past 80, and only 4.44% and 17.7% 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

Hungary

Male

Female

1x

Age	Probability of dying
	Equatorial Guinea			Hungary
	Average	Male	Female	Average	Male	Female
100	40%	39.9%	40.2%	36.8%	37.4%	36.6%
99	38.5%	38.4%	38.5%	34.6%	35.3%	34.4%
98	36.6%	36.6%	36.6%	32.3%	33.2%	32.1%
97	35%	35.2%	34.9%	30.2%	31.2%	29.9%
96	33.4%	33.6%	33.3%	28%	29.2%	27.6%
95	31.7%	32%	31.5%	25.8%	26.9%	25.4%
94	29.9%	30.3%	29.6%	24%	25.4%	23.5%
93	28.2%	28.6%	27.9%	22.2%	24.1%	21.6%
92	26.5%	27.1%	26.2%	20.3%	22.1%	19.7%
91	24.7%	25.3%	24.4%	18.4%	20%	17.8%
90	23.5%	24.1%	23.1%	16.7%	18.3%	16.1%
89	21.8%	22.5%	21.4%	15%	16.7%	14.4%
88	20.5%	21.1%	20%	13.6%	15.3%	12.9%
87	19.1%	19.7%	18.6%	12.4%	14%	11.8%
86	17.8%	18.5%	17.3%	11.3%	12.8%	10.6%
85	16.4%	17.1%	16%	10.2%	11.8%	9.49%
84	15.2%	16%	14.7%	9.27%	10.9%	8.51%
83	14%	14.7%	13.5%	8.38%	9.98%	7.59%
82	12.9%	13.6%	12.4%	7.51%	9.13%	6.67%
81	11.7%	12.4%	11.2%	6.77%	8.41%	5.89%
80	11%	11.6%	10.4%	6.09%	7.68%	5.2%
79	9.99%	10.6%	9.46%	5.4%	6.91%	4.53%
78	9.23%	9.82%	8.71%	4.84%	6.33%	3.95%
77	8.41%	8.99%	7.9%	4.38%	5.85%	3.48%
76	7.74%	8.3%	7.26%	3.94%	5.31%	3.09%
75	7.11%	7.64%	6.65%	3.55%	4.81%	2.75%
74	6.49%	7.01%	6.04%	3.24%	4.45%	2.45%
73	5.93%	6.43%	5.49%	2.99%	4.15%	2.21%
72	5.43%	5.91%	5.02%	2.77%	3.88%	2.01%
71	4.89%	5.34%	4.49%	2.58%	3.63%	1.82%
70	4.55%	4.97%	4.16%	2.4%	3.4%	1.67%
69	4.1%	4.51%	3.7%	2.25%	3.19%	1.56%
68	3.77%	4.15%	3.38%	2.14%	3.02%	1.47%
67	3.44%	3.81%	3.06%	2.02%	2.87%	1.37%
66	3.15%	3.51%	2.79%	1.88%	2.71%	1.23%
65	2.93%	3.26%	2.57%	1.81%	2.63%	1.14%
64	2.68%	3%	2.34%	1.75%	2.53%	1.09%
63	2.46%	2.77%	2.13%	1.61%	2.29%	1.02%
62	2.27%	2.55%	1.95%	1.47%	2.05%	0.94%
61	2.06%	2.32%	1.76%	1.38%	1.94%	0.87%
60	1.92%	2.17%	1.64%	1.28%	1.8%	0.8%
59	1.74%	1.97%	1.47%	1.18%	1.65%	0.74%
58	1.62%	1.83%	1.36%	1.1%	1.54%	0.68%
57	1.49%	1.69%	1.24%	1.01%	1.42%	0.62%
56	1.39%	1.57%	1.16%	0.92%	1.28%	0.56%
55	1.3%	1.47%	1.07%	0.83%	1.14%	0.51%
54	1.21%	1.37%	1%	0.74%	1.02%	0.47%
53	1.13%	1.28%	0.93%	0.66%	0.91%	0.42%
52	1.06%	1.2%	0.87%	0.59%	0.81%	0.36%
51	0.97%	1.1%	0.8%	0.52%	0.72%	0.32%
50	0.92%	1.04%	0.75%	0.47%	0.64%	0.3%
49	0.84%	0.95%	0.69%	0.41%	0.56%	0.26%
48	0.79%	0.89%	0.65%	0.35%	0.48%	0.22%
47	0.73%	0.82%	0.6%	0.31%	0.41%	0.2%
46	0.68%	0.77%	0.56%	0.27%	0.35%	0.18%
45	0.64%	0.72%	0.53%	0.23%	0.3%	0.15%
44	0.6%	0.67%	0.5%	0.19%	0.26%	0.13%
43	0.57%	0.63%	0.48%	0.17%	0.22%	0.12%
42	0.54%	0.6%	0.45%	0.16%	0.2%	0.11%
41	0.5%	0.56%	0.42%	0.14%	0.18%	0.09%
40	0.48%	0.53%	0.41%	0.12%	0.16%	0.08%
39	0.45%	0.5%	0.38%	0.11%	0.14%	0.08%
38	0.42%	0.47%	0.36%	0.1%	0.13%	0.07%
37	0.4%	0.44%	0.34%	0.09%	0.12%	0.06%
36	0.38%	0.42%	0.32%	0.09%	0.12%	0.06%
35	0.36%	0.4%	0.31%	0.08%	0.11%	0.06%
34	0.34%	0.38%	0.29%	0.07%	0.1%	0.05%
33	0.32%	0.36%	0.27%	0.07%	0.09%	0.04%
32	0.31%	0.35%	0.26%	0.07%	0.09%	0.04%
31	0.29%	0.33%	0.25%	0.06%	0.08%	0.04%
30	0.28%	0.32%	0.24%	0.05%	0.07%	0.03%
29	0.27%	0.31%	0.23%	0.05%	0.07%	0.03%
28	0.26%	0.3%	0.22%	0.05%	0.07%	0.03%
27	0.25%	0.29%	0.21%	0.04%	0.06%	0.02%
26	0.24%	0.28%	0.2%	0.04%	0.06%	0.02%
25	0.24%	0.28%	0.19%	0.04%	0.05%	0.02%
24	0.23%	0.27%	0.18%	0.04%	0.05%	0.02%
23	0.22%	0.27%	0.18%	0.03%	0.05%	0.02%
22	0.22%	0.26%	0.17%	0.03%	0.04%	0.02%
21	0.21%	0.25%	0.16%	0.03%	0.04%	0.02%
20	0.19%	0.23%	0.15%	0.03%	0.05%	0.02%
19	0.18%	0.22%	0.15%	0.03%	0.05%	0.02%
18	0.17%	0.2%	0.14%	0.03%	0.04%	0.02%
17	0.15%	0.18%	0.13%	0.02%	0.03%	0.01%
16	0.14%	0.15%	0.12%	0.02%	0.02%	0.01%
15	0.12%	0.13%	0.11%	0.01%	0.02%	0.01%
14	0.11%	0.12%	0.1%	0.01%	0.02%	0.01%
13	0.1%	0.11%	0.09%	0.01%	0.01%	0.008%
12	0.09%	0.1%	0.09%	0.009%	0.01%	0.006%
11	0.09%	0.1%	0.08%	0.007%	0.008%	0.005%
10	0.1%	0.1%	0.09%	0.008%	0.009%	0.008%
9	0.1%	0.11%	0.09%	0.01%	0.01%	0.009%
8	0.11%	0.12%	0.1%	0.008%	0.01%	0.006%
7	0.13%	0.14%	0.11%	0.007%	0.007%	0.007%
6	0.15%	0.16%	0.13%	0.007%	0.006%	0.008%
5	0.18%	0.19%	0.16%	0.008%	0.009%	0.007%
4	0.23%	0.25%	0.22%	0.01%	0.01%	0.008%
3	0.32%	0.34%	0.3%	0.01%	0.01%	0.01%
2	0.46%	0.49%	0.44%	0.02%	0.02%	0.01%
1	0.76%	0.8%	0.72%	0.02%	0.02%	0.03%
0	4.97%	5.49%	4.45%	0.27%	0.29%	0.25%

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

The annual chance of dying is 4.97% in the birth year in Equatorial Guinea and 0.27% in Hungary, 0.28% vs 0.05% at age 30, 1.92% vs 1.28% at 60, and 11% vs 6.09% at 80.

Death rate by age in Equatorial Guinea vs Hungary

Chart Table

Equatorial Guinea

Male

Female

Hungary

Male

Female

1x

Age	Death rate
	Equatorial Guinea			Hungary
	Total	Male	Female	Total	Male	Female
100	0	0	0	217.8	97.2	320
99	68.2	52.5	85.6	495	277.8	683
98	102.3	78.9	128	684	391	938
97	150.8	116.9	188	915	535	1,245
96	216	168.5	268.1	1,180	706	1,592
95	300	236.2	371	1,464	892	1,963
94	404	320	496	1,787	1,128	2,368
93	529	425	646	2,133	1,406	2,782
92	678	550	822	2,445	1,662	3,153
91	841	690	1,012	2,712	1,880	3,470
90	1,044	863	1,249	2,952	2,096	3,745
89	1,240	1,040	1,468	3,133	2,304	3,918
88	1,461	1,239	1,716	3,276	2,490	4,033
87	1,682	1,443	1,958	3,416	2,642	4,164
86	1,906	1,654	2,202	3,500	2,779	4,202
85	2,111	1,853	2,419	3,529	2,901	4,148
84	2,311	2,057	2,621	3,532	2,998	4,063
83	2,466	2,220	2,772	3,485	3,058	3,921
82	2,609	2,375	2,904	3,376	3,081	3,693
81	2,685	2,471	2,956	3,263	3,096	3,467
80	2,820	2,614	3,078	3,126	3,064	3,230
79	2,857	2,677	3,081	2,932	2,961	2,946
78	2,908	2,748	3,108	2,759	2,895	2,678
77	2,893	2,762	3,062	2,610	2,840	2,442
76	2,887	2,781	3,032	2,449	2,724	2,235
75	2,854	2,773	2,974	2,284	2,592	2,044
74	2,787	2,735	2,879	2,153	2,511	1,867
73	2,705	2,680	2,769	2,051	2,442	1,723
72	2,622	2,618	2,661	1,957	2,374	1,599
71	2,482	2,500	2,494	1,865	2,307	1,479
70	2,420	2,451	2,412	1,778	2,237	1,375
69	2,271	2,326	2,229	1,711	2,168	1,304
68	2,168	2,237	2,107	1,663	2,118	1,253
67	2,052	2,134	1,968	1,602	2,067	1,180
66	1,942	2,034	1,844	1,520	2,006	1,070
65	1,856	1,957	1,743	1,490	2,000	1,009
64	1,748	1,855	1,624	1,462	1,972	974
63	1,647	1,758	1,515	1,369	1,830	921
62	1,551	1,664	1,415	1,264	1,677	857
61	1,435	1,549	1,296	1,206	1,614	799
60	1,370	1,481	1,230	1,134	1,524	742
59	1,264	1,375	1,120	1,056	1,420	688
58	1,189	1,297	1,047	995	1,348	637
57	1,112	1,216	971	925	1,258	584
56	1,054	1,154	915	847	1,151	532
55	995	1,091	858	769	1,041	488
54	944	1,036	809	697	938	447
53	890	978	758	628	845	402
52	843	926	717	560	760	352
51	782	861	660	500	680	313
50	745	821	629	450	603	288.7
49	690	761	580	394	532	251
48	648	714	546	341	464	212.8
47	605	667	510	297.3	398	192.6
46	570	627	482	258.4	339	175.1
45	542	595	460	219.6	290.2	146.8
44	509	558	434	189.8	249.5	127.5
43	482	527	413	168.8	218.7	116.5
42	461	503	397	153.4	198.8	106
41	430	470	371	136.8	179	92.1
40	414	452	358	116.2	153	76.9
39	388	424	336	107	136.8	75
38	369	404	320	101.8	128.2	73.1
37	348	382	301	91.6	120.6	60.1
36	331	364	287.2	86.7	114	57.2
35	315	347	273	82.6	106.1	57.3
34	298.6	330	259	72.8	95	48.8
33	284.9	316	246.7	65.3	87.5	41.3
32	272.6	303	235.5	64.7	85.9	42
31	258.6	288.5	222.6	56.5	76.5	35
30	251.6	281.1	216.4	48.8	68.4	27.8
29	241	270.6	205.9	50.4	70.4	28.8
28	233.5	263.4	198.5	47.4	67.4	25.9
27	226.2	257	190.2	41.7	60.7	21.6
26	220.1	252.2	182.9	39.3	56	21.3
25	214.4	248.1	175.8	38.3	53.9	21.5
24	209.3	244.6	169.2	36.4	52.5	19.2
23	203.3	239.9	162.3	34.2	48.2	19.4
22	196.5	233.5	155.8	32.9	44.1	21.1
21	187.9	224.3	149	33	43.7	21.5
20	178.3	212.5	142.7	33.7	46.4	20.3
19	167.2	197.9	135.3	33.6	48.1	18.3
18	154.8	181.3	127.5	29.2	40.9	17
17	139.7	160.6	118.1	22.5	29.9	14.7
16	125.5	141.2	109.3	16.7	22.3	10.9
15	111	122.7	99	13.8	17.7	9.68
14	100.1	109.7	90.2	12.4	15.1	9.53
13	92	100.1	83.7	10.8	13.6	7.82
12	87.4	94.8	79.8	8.56	11.3	5.71
11	86	93.2	78.5	6.7	8.01	5.31
10	88.2	95.9	80.2	8.44	9.09	7.74
9	93.4	101.8	84.8	10.1	11.3	8.86
8	102.6	111.3	93.6	8.36	10.3	6.34
7	116.8	126.1	107.2	7.08	7.1	7.06
6	136.7	146.4	126.6	7.12	5.85	8.46
5	165.2	175.6	154.5	8.09	9.06	7.07
4	216.1	228.6	203.1	9.76	11.8	7.54
3	302	320	283.2	12.1	12.3	11.9
2	438	462	414	16.1	20.1	12
1	721	757	684	24.7	23.2	26.3
0	4,972	5,488	4,450	271.5	290.3	251.6

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 84 in Hungary. The median age of death is 71.3 in Equatorial Guinea and 80.4 in Hungary, 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 Hungary more than their death rates.

Life expectancy in other countries

+ -

1x