Life Expectancy in Equatorial Guinea vs Latvia (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 Latvia: 70.9 years vs 77.4 at 30, 78.2 vs 82.8 at 65, 85.8 vs 88.3 at 80 — significantly higher than the 64.1 vs 76.5 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 Latvia.

Table

Current age, years	Total life expectancy, years
	Equatorial Guinea			Latvia
	Average	Male	Female	Average	Male	Female
0	64.1	62.4	66.1	76.5	71.9	80.7
1	67.5	66.1	69.3	76.7	72.1	80.9
2	68	66.6	69.8	76.7	72.2	81
3	68.3	66.9	70.1	76.7	72.2	81
4	68.6	67.2	70.3	76.7	72.2	81
5	68.7	67.3	70.4	76.7	72.2	81
6	68.8	67.4	70.5	76.7	72.2	81
7	68.9	67.5	70.6	76.7	72.2	81
8	69	67.6	70.7	76.8	72.2	81
9	69.1	67.7	70.7	76.8	72.2	81
10	69.1	67.7	70.8	76.8	72.2	81
11	69.2	67.8	70.8	76.8	72.2	81
12	69.2	67.9	70.9	76.8	72.2	81
13	69.3	67.9	71	76.8	72.2	81.1
14	69.3	68	71	76.8	72.3	81.1
15	69.4	68.1	71.1	76.8	72.3	81.1
16	69.5	68.1	71.1	76.8	72.3	81.1
17	69.5	68.2	71.2	76.8	72.3	81.1
18	69.6	68.3	71.3	76.9	72.3	81.1
19	69.7	68.4	71.3	76.9	72.4	81.1
20	69.8	68.5	71.4	76.9	72.4	81.2
21	69.9	68.6	71.5	77	72.5	81.2
22	70	68.7	71.6	77	72.5	81.2
23	70.1	68.9	71.7	77	72.6	81.2
24	70.2	69	71.7	77.1	72.6	81.2
25	70.3	69.1	71.8	77.1	72.7	81.3
26	70.4	69.2	71.9	77.2	72.7	81.3
27	70.5	69.4	72	77.2	72.8	81.3
28	70.7	69.5	72.1	77.3	72.9	81.3
29	70.8	69.6	72.2	77.3	72.9	81.3
30	70.9	69.7	72.3	77.4	73	81.4
31	71	69.8	72.4	77.4	73.1	81.4
32	71.1	70	72.5	77.5	73.2	81.4
33	71.2	70.1	72.6	77.5	73.2	81.5
34	71.4	70.2	72.7	77.6	73.4	81.5
35	71.5	70.4	72.8	77.7	73.5	81.5
36	71.6	70.5	73	77.8	73.6	81.6
37	71.8	70.7	73.1	77.9	73.7	81.6
38	71.9	70.8	73.2	77.9	73.8	81.7
39	72	71	73.3	78	73.9	81.7
40	72.2	71.1	73.5	78.1	74	81.8
41	72.3	71.3	73.6	78.2	74.2	81.8
42	72.5	71.5	73.7	78.4	74.3	81.9
43	72.7	71.6	73.9	78.5	74.5	81.9
44	72.8	71.8	74	78.6	74.6	82
45	73	72	74.2	78.7	74.8	82.1
46	73.2	72.2	74.3	78.8	75	82.2
47	73.4	72.4	74.5	79	75.1	82.2
48	73.6	72.6	74.7	79.1	75.3	82.3
49	73.8	72.8	74.8	79.3	75.5	82.4
50	74	73.1	75	79.4	75.7	82.5
51	74.2	73.3	75.2	79.6	75.9	82.6
52	74.4	73.5	75.4	79.7	76.1	82.7
53	74.6	73.8	75.6	79.9	76.3	82.8
54	74.9	74.1	75.8	80.1	76.6	82.9
55	75.1	74.3	76	80.3	76.9	83.1
56	75.4	74.6	76.2	80.5	77.1	83.2
57	75.7	74.9	76.5	80.8	77.4	83.3
58	75.9	75.2	76.7	81	77.7	83.5
59	76.2	75.5	77	81.2	78	83.6
60	76.5	75.9	77.2	81.5	78.3	83.8
61	76.9	76.2	77.5	81.7	78.7	83.9
62	77.2	76.5	77.8	82	79	84.1
63	77.5	76.9	78.1	82.2	79.4	84.3
64	77.9	77.3	78.4	82.5	79.7	84.4
65	78.2	77.7	78.8	82.8	80.1	84.6
66	78.6	78.1	79.1	83.1	80.6	84.8
67	79	78.5	79.5	83.5	81	85
68	79.4	79	79.9	83.8	81.4	85.3
69	79.9	79.4	80.3	84.1	81.8	85.5
70	80.3	79.9	80.7	84.5	82.3	85.7
71	80.8	80.4	81.1	84.8	82.7	86
72	81.3	80.9	81.6	85.2	83.2	86.2
73	81.8	81.4	82.1	85.5	83.7	86.5
74	82.3	82	82.6	85.9	84.2	86.8
75	82.8	82.5	83.1	86.3	84.7	87.1
76	83.4	83.1	83.6	86.7	85.2	87.4
77	84	83.7	84.2	87.1	85.7	87.7
78	84.6	84.3	84.8	87.5	86.3	88
79	85.2	85	85.4	87.9	86.8	88.4
80	85.8	85.6	86	88.3	87.3	88.8
81	86.5	86.3	86.6	88.8	87.9	89.2
82	87.2	87	87.3	89.3	88.5	89.6
83	87.8	87.7	88	89.8	89.1	90
84	88.6	88.4	88.7	90.3	89.7	90.5
85	89.3	89.2	89.4	90.9	90.4	91.1
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	92.4	92.8
89	92.4	92.3	92.4	93.3	93.1	93.4
90	93.2	93.1	93.2	94	93.8	94.1
91	94	94	94	94.7	94.6	94.8
92	94.8	94.8	94.9	95.4	95.3	95.5
93	95.7	95.6	95.7	96.2	96.1	96.2
94	96.5	96.5	96.5	96.9	96.9	97
95	97.4	97.4	97.4	97.7	97.7	97.7
96	98.3	98.3	98.3	98.5	98.5	98.5
97	99.2	99.2	99.2	99.4	99.4	99.4
98	100.1	100	100.1	100.3	100.2	100.3
99	101	100.9	101	101.1	101	101.2
100	101.9	101.8	101.9	102.1	101.9	102.1

Odds of living to age in Equatorial Guinea vs Latvia

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 70.9% in Equatorial Guinea and 85.8% in Latvia are expected to survive till at least 60 years old, 52.8% and 72.2% will live to 70 years or older, 25.5% and 50.6% to 80+ years, and 4.39% and 18.3% 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			Latvia
	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%	99.7%	99.7%
5	93.2%	92.6%	93.8%	99.7%	99.7%	99.7%
6	93%	92.4%	93.7%	99.7%	99.6%	99.7%
7	92.9%	92.3%	93.5%	99.6%	99.6%	99.6%
8	92.8%	92.2%	93.4%	99.6%	99.6%	99.6%
9	92.7%	92.1%	93.3%	99.6%	99.6%	99.6%
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%	99.5%	99.5%	99.6%
16	92%	91.3%	92.7%	99.5%	99.5%	99.5%
17	91.9%	91.2%	92.6%	99.5%	99.5%	99.5%
18	91.7%	91%	92.5%	99.5%	99.4%	99.5%
19	91.6%	90.8%	92.4%	99.4%	99.3%	99.5%
20	91.4%	90.6%	92.2%	99.3%	99.2%	99.4%
21	91.2%	90.4%	92.1%	99.3%	99.1%	99.4%
22	91%	90.2%	91.9%	99.2%	99.1%	99.4%
23	90.8%	90%	91.8%	99.1%	99%	99.3%
24	90.6%	89.7%	91.6%	99.1%	98.9%	99.3%
25	90.4%	89.5%	91.4%	99%	98.7%	99.2%
26	90.2%	89.2%	91.2%	98.9%	98.6%	99.2%
27	90%	89%	91.1%	98.8%	98.5%	99.2%
28	89.8%	88.7%	90.9%	98.7%	98.4%	99.1%
29	89.5%	88.4%	90.7%	98.6%	98.2%	99.1%
30	89.3%	88.2%	90.5%	98.5%	98%	99%
31	89%	87.9%	90.2%	98.4%	97.9%	99%
32	88.8%	87.6%	90%	98.3%	97.7%	98.9%
33	88.5%	87.3%	89.8%	98.1%	97.4%	98.9%
34	88.2%	87%	89.5%	98%	97.2%	98.8%
35	87.9%	86.6%	89.3%	97.8%	96.9%	98.7%
36	87.6%	86.3%	89%	97.6%	96.6%	98.6%
37	87.2%	85.9%	88.7%	97.4%	96.4%	98.5%
38	86.9%	85.5%	88.4%	97.2%	96.1%	98.4%
39	86.5%	85.1%	88.1%	97%	95.7%	98.3%
40	86.1%	84.7%	87.7%	96.7%	95.4%	98.2%
41	85.7%	84.2%	87.3%	96.4%	94.9%	98.1%
42	85.3%	83.7%	87%	96.2%	94.5%	97.9%
43	84.8%	83.2%	86.6%	95.9%	94.1%	97.8%
44	84.3%	82.7%	86.2%	95.5%	93.6%	97.6%
45	83.8%	82.1%	85.7%	95.2%	93.1%	97.4%
46	83.2%	81.5%	85.2%	94.8%	92.6%	97.2%
47	82.7%	80.9%	84.8%	94.4%	92%	97%
48	82.1%	80.2%	84.2%	94%	91.4%	96.7%
49	81.4%	79.5%	83.7%	93.6%	90.8%	96.5%
50	80.7%	78.8%	83.1%	93.1%	90.2%	96.2%
51	80%	77.9%	82.5%	92.6%	89.5%	95.9%
52	79.2%	77.1%	81.8%	92%	88.7%	95.6%
53	78.3%	76.1%	81.1%	91.4%	87.8%	95.2%
54	77.4%	75.2%	80.3%	90.7%	86.8%	94.9%
55	76.5%	74.1%	79.5%	90%	85.8%	94.4%
56	75.5%	73%	78.7%	89.3%	84.7%	94%
57	74.4%	71.9%	77.7%	88.5%	83.6%	93.5%
58	73.3%	70.6%	76.8%	87.6%	82.4%	93%
59	72.1%	69.3%	75.7%	86.7%	81.1%	92.5%
60	70.9%	68%	74.6%	85.8%	79.7%	91.9%
61	69.5%	66.5%	73.4%	84.7%	78.2%	91.3%
62	68.1%	64.9%	72.1%	83.7%	76.7%	90.6%
63	66.5%	63.3%	70.6%	82.5%	75.1%	89.9%
64	64.9%	61.5%	69.1%	81.3%	73.3%	89.1%
65	63.1%	59.7%	67.5%	79.9%	71.5%	88.3%
66	61.3%	57.7%	65.8%	78.5%	69.5%	87.4%
67	59.3%	55.7%	63.9%	77%	67.5%	86.4%
68	57.3%	53.5%	61.9%	75.5%	65.5%	85.3%
69	55.1%	51.3%	59.8%	73.9%	63.3%	84.2%
70	52.8%	49%	57.6%	72.2%	61%	83%
71	50.4%	46.5%	55.2%	70.5%	58.8%	81.6%
72	48%	44%	52.7%	68.6%	56.5%	80.2%
73	45.3%	41.4%	50.1%	66.7%	54%	78.6%
74	42.6%	38.8%	47.3%	64.6%	51.5%	77%
75	39.9%	36%	44.4%	62.5%	48.9%	75.2%
76	37%	33.3%	41.5%	60.3%	46.4%	73.2%
77	34.1%	30.5%	38.4%	58%	43.7%	71.1%
78	31.3%	27.8%	35.4%	55.7%	41.1%	68.9%
79	28.4%	25%	32.3%	53.2%	38.5%	66.5%
80	25.5%	22.4%	29.2%	50.6%	35.8%	63.8%
81	22.7%	19.8%	26.2%	47.7%	33%	60.8%
82	20.1%	17.3%	23.2%	44.8%	30.2%	57.6%
83	17.5%	14.9%	20.3%	41.7%	27.5%	54.1%
84	15%	12.7%	17.6%	38.5%	24.8%	50.4%
85	12.7%	10.7%	15%	35.1%	22.1%	46.4%
86	10.6%	8.86%	12.6%	31.8%	19.5%	42.3%
87	8.73%	7.22%	10.4%	28.3%	16.9%	38%
88	7.06%	5.79%	8.48%	24.9%	14.5%	33.7%
89	5.62%	4.57%	6.78%	21.6%	12.3%	29.4%
90	4.39%	3.54%	5.33%	18.3%	10.2%	25.1%
91	3.36%	2.69%	4.09%	15.2%	8.33%	20.9%
92	2.52%	2.01%	3.09%	12.4%	6.67%	17.2%
93	1.85%	1.46%	2.28%	9.93%	5.22%	13.8%
94	1.33%	1.04%	1.65%	7.7%	3.99%	10.8%
95	0.93%	0.73%	1.16%	5.81%	2.98%	8.14%
96	0.64%	0.49%	0.79%	4.26%	2.18%	5.98%
97	0.42%	0.33%	0.53%	3.02%	1.55%	4.24%
98	0.28%	0.21%	0.34%	2.07%	1.07%	2.9%
99	0.17%	0.13%	0.22%	1.37%	0.71%	1.92%
100	0.11%	0.08%	0.13%	0.87%	0.46%	1.22%

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 0.27% in Latvia, 0.29% vs 0.12% at age 30, 1.94% vs 1.2% at 60, and 11% vs 5.59% at 80.

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

Table

Age	Probability of dying
	Equatorial Guinea			Latvia
	Average	Male	Female	Average	Male	Female
0	5.08%	5.59%	4.56%	0.27%	0.28%	0.26%
1	0.77%	0.82%	0.73%	0.03%	0.02%	0.03%
2	0.47%	0.5%	0.45%	0.02%	0.01%	0.02%
3	0.33%	0.35%	0.31%	0.01%	0.01%	0.01%
4	0.23%	0.25%	0.22%	0.01%	0.01%	0.01%
5	0.18%	0.19%	0.17%	0.01%	0.008%	0.01%
6	0.15%	0.16%	0.14%	0.01%	0.008%	0.01%
7	0.13%	0.14%	0.12%	0.01%	0.01%	0.01%
8	0.11%	0.12%	0.1%	0.01%	0.02%	0.01%
9	0.1%	0.11%	0.09%	0.01%	0.01%	0.01%
10	0.1%	0.11%	0.09%	0.01%	0.01%	0.01%
11	0.09%	0.1%	0.09%	0.01%	0.02%	0.01%
12	0.1%	0.1%	0.09%	0.02%	0.02%	0.01%
13	0.1%	0.11%	0.09%	0.01%	0.02%	0.01%
14	0.11%	0.12%	0.1%	0.02%	0.02%	0.02%
15	0.12%	0.14%	0.11%	0.02%	0.03%	0.02%
16	0.14%	0.16%	0.12%	0.03%	0.04%	0.02%
17	0.15%	0.18%	0.13%	0.03%	0.04%	0.02%
18	0.17%	0.2%	0.14%	0.05%	0.08%	0.03%
19	0.19%	0.22%	0.15%	0.07%	0.11%	0.03%
20	0.2%	0.24%	0.16%	0.06%	0.09%	0.04%
21	0.21%	0.25%	0.17%	0.06%	0.08%	0.04%
22	0.22%	0.26%	0.17%	0.07%	0.1%	0.03%
23	0.23%	0.27%	0.18%	0.07%	0.11%	0.04%
24	0.23%	0.28%	0.19%	0.08%	0.11%	0.04%
25	0.24%	0.28%	0.2%	0.08%	0.12%	0.04%
26	0.25%	0.29%	0.2%	0.09%	0.13%	0.04%
27	0.26%	0.29%	0.21%	0.09%	0.15%	0.04%
28	0.26%	0.3%	0.22%	0.1%	0.16%	0.04%
29	0.27%	0.31%	0.23%	0.11%	0.17%	0.04%
30	0.29%	0.32%	0.24%	0.12%	0.18%	0.05%
31	0.29%	0.33%	0.25%	0.13%	0.2%	0.06%
32	0.31%	0.35%	0.27%	0.15%	0.22%	0.06%
33	0.33%	0.37%	0.28%	0.18%	0.27%	0.08%
34	0.34%	0.38%	0.29%	0.18%	0.27%	0.08%
35	0.36%	0.41%	0.31%	0.18%	0.27%	0.08%
36	0.38%	0.43%	0.33%	0.2%	0.3%	0.09%
37	0.4%	0.45%	0.34%	0.21%	0.32%	0.1%
38	0.43%	0.48%	0.37%	0.22%	0.34%	0.11%
39	0.45%	0.5%	0.39%	0.26%	0.39%	0.13%
40	0.49%	0.54%	0.41%	0.29%	0.43%	0.15%
41	0.51%	0.56%	0.43%	0.29%	0.43%	0.14%
42	0.55%	0.61%	0.46%	0.32%	0.46%	0.16%
43	0.57%	0.64%	0.48%	0.36%	0.51%	0.19%
44	0.61%	0.68%	0.51%	0.37%	0.55%	0.19%
45	0.65%	0.73%	0.54%	0.38%	0.57%	0.2%
46	0.69%	0.77%	0.57%	0.42%	0.58%	0.26%
47	0.74%	0.83%	0.61%	0.44%	0.64%	0.26%
48	0.79%	0.89%	0.65%	0.47%	0.7%	0.25%
49	0.85%	0.96%	0.7%	0.5%	0.72%	0.3%
50	0.93%	1.05%	0.76%	0.54%	0.77%	0.34%
51	0.98%	1.11%	0.81%	0.59%	0.89%	0.31%
52	1.07%	1.21%	0.88%	0.66%	1.01%	0.34%
53	1.14%	1.29%	0.94%	0.74%	1.11%	0.39%
54	1.22%	1.38%	1.01%	0.79%	1.19%	0.43%
55	1.3%	1.48%	1.08%	0.85%	1.26%	0.48%
56	1.4%	1.58%	1.17%	0.91%	1.34%	0.52%
57	1.5%	1.7%	1.25%	0.95%	1.43%	0.53%
58	1.62%	1.84%	1.37%	1.01%	1.56%	0.55%
59	1.75%	1.99%	1.48%	1.12%	1.72%	0.61%
60	1.94%	2.18%	1.65%	1.2%	1.82%	0.68%
61	2.07%	2.33%	1.77%	1.27%	1.93%	0.74%
62	2.28%	2.56%	1.97%	1.38%	2.13%	0.78%
63	2.48%	2.78%	2.15%	1.51%	2.33%	0.87%
64	2.69%	3.02%	2.35%	1.65%	2.54%	0.97%
65	2.94%	3.28%	2.58%	1.77%	2.78%	1.03%
66	3.17%	3.52%	2.8%	1.87%	2.91%	1.11%
67	3.45%	3.83%	3.08%	1.94%	2.93%	1.22%
68	3.78%	4.17%	3.4%	2.13%	3.3%	1.32%
69	4.11%	4.53%	3.72%	2.33%	3.65%	1.45%
70	4.57%	4.99%	4.18%	2.43%	3.66%	1.65%
71	4.91%	5.36%	4.51%	2.61%	3.94%	1.79%
72	5.46%	5.93%	5.04%	2.83%	4.38%	1.9%
73	5.95%	6.45%	5.52%	3.03%	4.7%	2.09%
74	6.52%	7.03%	6.07%	3.26%	4.94%	2.33%
75	7.14%	7.67%	6.67%	3.52%	5.23%	2.62%
76	7.78%	8.32%	7.29%	3.81%	5.66%	2.86%
77	8.44%	9.01%	7.93%	4.12%	6.06%	3.14%
78	9.26%	9.85%	8.74%	4.45%	6.33%	3.56%
79	10%	10.6%	9.49%	4.93%	6.91%	4.06%
80	11%	11.6%	10.5%	5.59%	7.94%	4.59%
81	11.7%	12.4%	11.2%	6.17%	8.4%	5.26%
82	12.9%	13.6%	12.4%	6.85%	8.89%	6.07%
83	14%	14.7%	13.5%	7.8%	10%	6.97%
84	15.3%	16%	14.8%	8.64%	10.9%	7.82%
85	16.5%	17.2%	16%	9.56%	11.8%	8.81%
86	17.8%	18.5%	17.3%	10.8%	13%	10.1%
87	19.1%	19.8%	18.6%	12.1%	14.3%	11.4%
88	20.5%	21.2%	20%	13.3%	15.4%	12.7%
89	21.9%	22.5%	21.4%	15.2%	16.8%	14.7%
90	23.5%	24.1%	23.2%	17%	18.4%	16.6%
91	24.8%	25.4%	24.4%	18.2%	20%	17.7%
92	26.6%	27.1%	26.2%	20.1%	21.7%	19.7%
93	28.2%	28.7%	27.9%	22.5%	23.5%	22.2%
94	29.9%	30.3%	29.7%	24.5%	25.3%	24.4%
95	31.8%	32.1%	31.6%	26.6%	27%	26.5%
96	33.4%	33.7%	33.3%	29.1%	29%	29.1%
97	35.1%	35.2%	35%	31.4%	31%	31.6%
98	36.6%	36.6%	36.6%	33.8%	33%	34%
99	38.5%	38.4%	38.6%	36.3%	35%	36.6%
100	40.1%	39.9%	40.2%	38.7%	37%	39%

Death rate by age in Equatorial Guinea compared to Latvia

In Equatorial Guinea, the most common age of death is 0, compared to 86 in Latvia. The median age of death is 71.2 in Equatorial Guinea and 80.2 in Latvia — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Equatorial Guinea			Latvia
	Total	Male	Female	Total	Male	Female
0	5,077	5,587	4,563	267.5	278.6	255.6
1	736	770	700	25.9	24.8	27.2
2	446	469	423	15.5	12.2	19
3	307	324	289.1	12.4	14.9	9.76
4	219.5	231.3	207.2	12.5	12.3	12.8
5	167.7	177.6	157.6	11	8	14.2
6	138.8	148.1	129.1	10.1	7.65	12.7
7	118.7	127.7	109.4	12.2	12.9	11.4
8	104.3	112.8	95.5	13	15.2	10.6
9	95	103.1	86.6	9.9	9.76	10.1
10	89.7	97.3	81.9	10.4	10.4	10.4
11	87.5	94.6	80.2	13.7	15.9	11.3
12	89	96.2	81.5	15.8	19.1	12.3
13	93.7	101.6	85.5	14.6	16.1	13.1
14	101.9	111.3	92.1	15.6	16	15
15	113	124.5	101.1	23.1	27	19
16	127.7	143.3	111.6	29.7	37	22.1
17	142.1	162.9	120.7	33.5	44	22.7
18	157.5	183.8	130.2	54.6	82.2	25.8
19	170	200.7	138.2	71.3	107.7	33.1
20	181.6	215.4	145.7	63.7	84.7	41.4
21	191.4	227.4	152.1	61.2	82.5	38.3
22	199.8	236.6	158.9	66.1	97.7	32.7
23	206.7	243	165.6	71.2	105.7	35.4
24	212.7	247.8	172.6	75.9	108.9	41.6
25	217.8	251.4	179.2	80.9	115.7	43.9
26	223.5	255.4	186.4	87.1	130.1	40.6
27	229.6	260.2	193.8	93.7	146.1	36.6
28	237.1	266.7	202.2	100.1	157.3	37
29	244.6	274	209.7	108.7	167.7	43.4
30	255.3	284.5	220.3	119.7	180.5	53.2
31	262.4	291.9	226.5	127.3	192.5	57.3
32	276.6	307	239.6	144	218	63.9
33	289.1	319	250.9	172.2	258.5	78.1
34	303	334	263.3	177.6	267.2	81.2
35	319	351	277.4	177.2	266.2	81.3
36	336	368	291.8	192.6	286.3	90
37	352	386	306	208.1	309	98.8
38	374	408	325	217.2	322	104.2
39	393	428	341	254.7	372	128
40	418	456	363	282.9	413	143.4
41	435	474	375	276.2	408	135.2
42	465	507	401	303	435	161.6
43	487	532	418	340	482	189.5
44	514	562	439	353	514	180.9
45	546	599	464	363	529	190.8
46	574	631	487	396	541	249.2
47	610	671	514	420	589	248.5
48	652	718	551	440	637	239.3
49	694	766	585	471	652	287.8
50	749	825	634	507	690	324
51	785	865	664	546	794	298.5
52	847	930	721	609	895	321
53	893	982	763	672	972	373
54	946	1,039	813	716	1,030	412
55	997	1,094	862	764	1,081	457
56	1,056	1,157	919	808	1,134	491
57	1,114	1,219	975	840	1,196	495
58	1,191	1,300	1,051	888	1,285	509
59	1,265	1,378	1,124	973	1,393	568
60	1,371	1,484	1,234	1,030	1,448	629
61	1,437	1,551	1,298	1,079	1,511	674
62	1,552	1,665	1,417	1,155	1,636	708
63	1,647	1,759	1,517	1,245	1,749	780
64	1,747	1,855	1,625	1,338	1,861	861
65	1,855	1,956	1,744	1,418	1,984	913
66	1,940	2,033	1,844	1,468	2,021	968
67	2,048	2,132	1,968	1,494	1,977	1,051
68	2,164	2,234	2,105	1,608	2,162	1,124
69	2,266	2,322	2,227	1,719	2,312	1,225
70	2,415	2,446	2,409	1,754	2,231	1,371
71	2,476	2,494	2,489	1,838	2,317	1,459
72	2,616	2,611	2,656	1,942	2,476	1,527
73	2,699	2,671	2,762	2,023	2,538	1,640
74	2,780	2,726	2,871	2,109	2,541	1,798
75	2,846	2,762	2,964	2,201	2,559	1,967
76	2,878	2,769	3,020	2,296	2,625	2,093
77	2,882	2,749	3,049	2,389	2,649	2,235
78	2,894	2,734	3,094	2,474	2,600	2,451
79	2,840	2,662	3,065	2,623	2,659	2,695
80	2,802	2,598	3,060	2,825	2,845	2,928
81	2,667	2,455	2,937	2,944	2,772	3,199
82	2,592	2,359	2,884	3,069	2,688	3,499
83	2,449	2,203	2,751	3,254	2,764	3,776
84	2,295	2,041	2,600	3,324	2,707	3,937
85	2,096	1,838	2,398	3,361	2,596	4,089
86	1,891	1,639	2,182	3,443	2,526	4,286
87	1,667	1,429	1,939	3,437	2,417	4,356
88	1,447	1,226	1,698	3,322	2,238	4,281
89	1,227	1,028	1,452	3,279	2,067	4,326
90	1,033	854	1,234	3,105	1,880	4,155
91	831	681	999	2,761	1,664	3,700
92	670	543	811	2,502	1,449	3,395
93	523	419	637	2,231	1,229	3,071
94	398	316	488	1,890	1,008	2,622
95	296.2	233	365	1,547	806	2,159
96	212.9	166.1	263.8	1,238	631	1,739
97	148.5	115.2	184.9	951	479	1,339
98	100.7	77.8	125.8	701	352	988
99	67.1	51.7	84.1	498	250.4	701
100	0	0	0	196.6	86.6	284.6

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 Latvia 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 Latvia: Statistical Insights

By topic vs comparisons:

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