Life Expectancy in Equatorial Guinea vs Laos (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 Laos: 70.9 years vs 73.4 at 30, 78.2 vs 78.8 at 65, 85.8 vs 85.8 at 80 — significantly higher than the 64.1 vs 69.5 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 Laos.

Table

Current age, years	Total life expectancy, years
	Equatorial Guinea			Laos
	Average	Male	Female	Average	Male	Female
0	64.1	62.4	66.1	69.5	67.3	71.8
1	67.5	66.1	69.3	71.5	69.5	73.6
2	68	66.6	69.8	71.7	69.7	73.8
3	68.3	66.9	70.1	71.8	69.8	73.9
4	68.6	67.2	70.3	71.9	69.9	74
5	68.7	67.3	70.4	72	70	74.1
6	68.8	67.4	70.5	72.1	70.1	74.1
7	68.9	67.5	70.6	72.1	70.2	74.2
8	69	67.6	70.7	72.2	70.2	74.2
9	69.1	67.7	70.7	72.2	70.3	74.2
10	69.1	67.7	70.8	72.2	70.3	74.3
11	69.2	67.8	70.8	72.3	70.3	74.3
12	69.2	67.9	70.9	72.3	70.4	74.3
13	69.3	67.9	71	72.3	70.4	74.3
14	69.3	68	71	72.4	70.5	74.4
15	69.4	68.1	71.1	72.4	70.5	74.4
16	69.5	68.1	71.1	72.5	70.6	74.4
17	69.5	68.2	71.2	72.5	70.6	74.5
18	69.6	68.3	71.3	72.6	70.7	74.5
19	69.7	68.4	71.3	72.6	70.8	74.5
20	69.8	68.5	71.4	72.7	70.8	74.6
21	69.9	68.6	71.5	72.7	70.9	74.6
22	70	68.7	71.6	72.8	71	74.7
23	70.1	68.9	71.7	72.9	71.1	74.7
24	70.2	69	71.7	73	71.2	74.8
25	70.3	69.1	71.8	73	71.3	74.8
26	70.4	69.2	71.9	73.1	71.4	74.9
27	70.5	69.4	72	73.2	71.4	74.9
28	70.7	69.5	72.1	73.2	71.5	75
29	70.8	69.6	72.2	73.3	71.6	75.1
30	70.9	69.7	72.3	73.4	71.7	75.1
31	71	69.8	72.4	73.4	71.8	75.2
32	71.1	70	72.5	73.5	71.8	75.2
33	71.2	70.1	72.6	73.6	71.9	75.3
34	71.4	70.2	72.7	73.7	72	75.4
35	71.5	70.4	72.8	73.7	72.1	75.4
36	71.6	70.5	73	73.8	72.2	75.5
37	71.8	70.7	73.1	73.9	72.3	75.6
38	71.9	70.8	73.2	74	72.3	75.6
39	72	71	73.3	74.1	72.4	75.7
40	72.2	71.1	73.5	74.1	72.5	75.8
41	72.3	71.3	73.6	74.2	72.6	75.9
42	72.5	71.5	73.7	74.3	72.8	75.9
43	72.7	71.6	73.9	74.4	72.9	76
44	72.8	71.8	74	74.6	73	76.1
45	73	72	74.2	74.7	73.1	76.2
46	73.2	72.2	74.3	74.8	73.3	76.3
47	73.4	72.4	74.5	74.9	73.4	76.4
48	73.6	72.6	74.7	75.1	73.6	76.6
49	73.8	72.8	74.8	75.2	73.7	76.7
50	74	73.1	75	75.3	73.9	76.8
51	74.2	73.3	75.2	75.5	74.1	76.9
52	74.4	73.5	75.4	75.7	74.3	77.1
53	74.6	73.8	75.6	75.9	74.5	77.2
54	74.9	74.1	75.8	76	74.7	77.4
55	75.1	74.3	76	76.2	74.9	77.6
56	75.4	74.6	76.2	76.4	75.1	77.7
57	75.7	74.9	76.5	76.7	75.4	77.9
58	75.9	75.2	76.7	76.9	75.7	78.1
59	76.2	75.5	77	77.1	75.9	78.3
60	76.5	75.9	77.2	77.4	76.2	78.5
61	76.9	76.2	77.5	77.7	76.5	78.7
62	77.2	76.5	77.8	77.9	76.9	79
63	77.5	76.9	78.1	78.2	77.2	79.2
64	77.9	77.3	78.4	78.5	77.5	79.5
65	78.2	77.7	78.8	78.8	77.9	79.7
66	78.6	78.1	79.1	79.2	78.3	80
67	79	78.5	79.5	79.5	78.7	80.3
68	79.4	79	79.9	79.9	79.1	80.6
69	79.9	79.4	80.3	80.3	79.5	81
70	80.3	79.9	80.7	80.7	80	81.3
71	80.8	80.4	81.1	81.1	80.4	81.7
72	81.3	80.9	81.6	81.6	80.9	82.1
73	81.8	81.4	82.1	82	81.4	82.5
74	82.3	82	82.6	82.5	81.9	83
75	82.8	82.5	83.1	83	82.5	83.4
76	83.4	83.1	83.6	83.5	83	83.9
77	84	83.7	84.2	84.1	83.6	84.4
78	84.6	84.3	84.8	84.6	84.2	85
79	85.2	85	85.4	85.2	84.8	85.5
80	85.8	85.6	86	85.8	85.4	86.1
81	86.5	86.3	86.6	86.4	86.1	86.7
82	87.2	87	87.3	87.1	86.8	87.3
83	87.8	87.7	88	87.8	87.5	88
84	88.6	88.4	88.7	88.4	88.2	88.6
85	89.3	89.2	89.4	89.1	88.9	89.3
86	90	89.9	90.1	89.9	89.6	90.1
87	90.8	90.7	90.9	90.6	90.3	90.8
88	91.6	91.5	91.6	91.4	91.1	91.6
89	92.4	92.3	92.4	92.1	91.9	92.3
90	93.2	93.1	93.2	92.9	92.7	93.1
91	94	94	94	93.7	93.5	93.9
92	94.8	94.8	94.9	94.6	94.4	94.7
93	95.7	95.6	95.7	95.4	95.2	95.5
94	96.5	96.5	96.5	96.2	96.1	96.3
95	97.4	97.4	97.4	97.1	97	97.2
96	98.3	98.3	98.3	98	97.9	98
97	99.2	99.2	99.2	98.9	98.8	98.9
98	100.1	100	100.1	99.8	99.7	99.8
99	101	100.9	101	100.7	100.6	100.8
100	101.9	101.8	101.9	101.7	101.6	101.7

Odds of living to age in Equatorial Guinea vs Laos

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 70.9% in Equatorial Guinea and 80.1% in Laos are expected to survive till at least 60 years old, 52.8% and 62.6% will live to 70 years or older, 25.5% and 32.2% to 80+ years, and 4.39% and 5.41% 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			Laos
	Average	Male	Female	Average	Male	Female
1	94.9%	94.4%	95.4%	97.1%	96.7%	97.5%
2	94.2%	93.6%	94.7%	96.9%	96.5%	97.3%
3	93.7%	93.2%	94.3%	96.7%	96.3%	97.1%
4	93.4%	92.8%	94%	96.5%	96.1%	97%
5	93.2%	92.6%	93.8%	96.4%	96%	96.9%
6	93%	92.4%	93.7%	96.3%	95.9%	96.8%
7	92.9%	92.3%	93.5%	96.3%	95.8%	96.8%
8	92.8%	92.2%	93.4%	96.2%	95.7%	96.7%
9	92.7%	92.1%	93.3%	96.2%	95.7%	96.7%
10	92.6%	91.9%	93.2%	96.1%	95.6%	96.6%
11	92.5%	91.9%	93.2%	96.1%	95.5%	96.6%
12	92.4%	91.8%	93.1%	96%	95.5%	96.6%
13	92.3%	91.7%	93%	95.9%	95.4%	96.5%
14	92.2%	91.6%	92.9%	95.9%	95.3%	96.5%
15	92.1%	91.4%	92.8%	95.8%	95.3%	96.4%
16	92%	91.3%	92.7%	95.8%	95.2%	96.4%
17	91.9%	91.2%	92.6%	95.7%	95.1%	96.3%
18	91.7%	91%	92.5%	95.6%	94.9%	96.3%
19	91.6%	90.8%	92.4%	95.5%	94.8%	96.2%
20	91.4%	90.6%	92.2%	95.4%	94.7%	96.1%
21	91.2%	90.4%	92.1%	95.2%	94.5%	96%
22	91%	90.2%	91.9%	95.1%	94.3%	95.9%
23	90.8%	90%	91.8%	95%	94.2%	95.8%
24	90.6%	89.7%	91.6%	94.8%	94%	95.7%
25	90.4%	89.5%	91.4%	94.7%	93.8%	95.6%
26	90.2%	89.2%	91.2%	94.6%	93.6%	95.5%
27	90%	89%	91.1%	94.4%	93.5%	95.4%
28	89.8%	88.7%	90.9%	94.3%	93.3%	95.3%
29	89.5%	88.4%	90.7%	94.1%	93.1%	95.2%
30	89.3%	88.2%	90.5%	94%	93%	95.1%
31	89%	87.9%	90.2%	93.8%	92.8%	95%
32	88.8%	87.6%	90%	93.7%	92.6%	94.8%
33	88.5%	87.3%	89.8%	93.5%	92.4%	94.7%
34	88.2%	87%	89.5%	93.4%	92.2%	94.5%
35	87.9%	86.6%	89.3%	93.2%	92%	94.4%
36	87.6%	86.3%	89%	93%	91.8%	94.2%
37	87.2%	85.9%	88.7%	92.8%	91.6%	94.1%
38	86.9%	85.5%	88.4%	92.6%	91.3%	93.9%
39	86.5%	85.1%	88.1%	92.4%	91.1%	93.7%
40	86.1%	84.7%	87.7%	92.1%	90.8%	93.5%
41	85.7%	84.2%	87.3%	91.9%	90.5%	93.3%
42	85.3%	83.7%	87%	91.6%	90.2%	93.1%
43	84.8%	83.2%	86.6%	91.3%	89.8%	92.8%
44	84.3%	82.7%	86.2%	91%	89.5%	92.5%
45	83.8%	82.1%	85.7%	90.6%	89.1%	92.3%
46	83.2%	81.5%	85.2%	90.2%	88.6%	91.9%
47	82.7%	80.9%	84.8%	89.8%	88.1%	91.6%
48	82.1%	80.2%	84.2%	89.4%	87.6%	91.2%
49	81.4%	79.5%	83.7%	88.9%	87.1%	90.8%
50	80.7%	78.8%	83.1%	88.4%	86.5%	90.4%
51	80%	77.9%	82.5%	87.8%	85.8%	89.9%
52	79.2%	77.1%	81.8%	87.2%	85.1%	89.4%
53	78.3%	76.1%	81.1%	86.5%	84.3%	88.9%
54	77.4%	75.2%	80.3%	85.8%	83.4%	88.3%
55	76.5%	74.1%	79.5%	85%	82.5%	87.7%
56	75.5%	73%	78.7%	84.2%	81.5%	87%
57	74.4%	71.9%	77.7%	83.3%	80.4%	86.3%
58	73.3%	70.6%	76.8%	82.3%	79.2%	85.5%
59	72.1%	69.3%	75.7%	81.2%	78%	84.6%
60	70.9%	68%	74.6%	80.1%	76.6%	83.7%
61	69.5%	66.5%	73.4%	78.8%	75.1%	82.7%
62	68.1%	64.9%	72.1%	77.5%	73.5%	81.6%
63	66.5%	63.3%	70.6%	76.1%	71.9%	80.4%
64	64.9%	61.5%	69.1%	74.5%	70.1%	79.1%
65	63.1%	59.7%	67.5%	72.9%	68.2%	77.7%
66	61.3%	57.7%	65.8%	71.1%	66.1%	76.2%
67	59.3%	55.7%	63.9%	69.2%	64%	74.5%
68	57.3%	53.5%	61.9%	67.1%	61.7%	72.7%
69	55.1%	51.3%	59.8%	64.9%	59.3%	70.7%
70	52.8%	49%	57.6%	62.6%	56.8%	68.6%
71	50.4%	46.5%	55.2%	60.1%	54.1%	66.2%
72	48%	44%	52.7%	57.4%	51.3%	63.7%
73	45.3%	41.4%	50.1%	54.6%	48.5%	61.1%
74	42.6%	38.8%	47.3%	51.7%	45.5%	58.2%
75	39.9%	36%	44.4%	48.7%	42.4%	55.2%
76	37%	33.3%	41.5%	45.5%	39.3%	52%
77	34.1%	30.5%	38.4%	42.3%	36.2%	48.7%
78	31.3%	27.8%	35.4%	39%	33%	45.3%
79	28.4%	25%	32.3%	35.6%	29.8%	41.7%
80	25.5%	22.4%	29.2%	32.2%	26.6%	38.1%
81	22.7%	19.8%	26.2%	28.8%	23.5%	34.4%
82	20.1%	17.3%	23.2%	25.5%	20.5%	30.6%
83	17.5%	14.9%	20.3%	22.2%	17.7%	27%
84	15%	12.7%	17.6%	19.1%	15%	23.4%
85	12.7%	10.7%	15%	16.2%	12.6%	20%
86	10.6%	8.86%	12.6%	13.5%	10.3%	16.9%
87	8.73%	7.22%	10.4%	11.1%	8.32%	14%
88	7.06%	5.79%	8.48%	8.91%	6.57%	11.4%
89	5.62%	4.57%	6.78%	7.02%	5.05%	9.12%
90	4.39%	3.54%	5.33%	5.41%	3.78%	7.15%
91	3.36%	2.69%	4.09%	4.07%	2.75%	5.49%
92	2.52%	2.01%	3.09%	2.98%	1.93%	4.11%
93	1.85%	1.46%	2.28%	2.12%	1.32%	2.99%
94	1.33%	1.04%	1.65%	1.47%	0.87%	2.11%
95	0.93%	0.73%	1.16%	0.98%	0.56%	1.44%
96	0.64%	0.49%	0.79%	0.63%	0.35%	0.95%
97	0.42%	0.33%	0.53%	0.4%	0.21%	0.6%
98	0.28%	0.21%	0.34%	0.24%	0.12%	0.37%
99	0.17%	0.13%	0.22%	0.14%	0.07%	0.22%
100	0.11%	0.08%	0.13%	0.08%	0.04%	0.12%

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 2.9% in Laos, 0.29% vs 0.16% at age 30, 1.94% vs 1.55% at 60, and 11% vs 10.5% at 80.

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

Table

Age	Probability of dying
	Equatorial Guinea			Laos
	Average	Male	Female	Average	Male	Female
0	5.08%	5.59%	4.56%	2.9%	3.29%	2.49%
1	0.77%	0.82%	0.73%	0.24%	0.24%	0.25%
2	0.47%	0.5%	0.45%	0.19%	0.2%	0.18%
3	0.33%	0.35%	0.31%	0.14%	0.16%	0.13%
4	0.23%	0.25%	0.22%	0.11%	0.13%	0.09%
5	0.18%	0.19%	0.17%	0.09%	0.11%	0.07%
6	0.15%	0.16%	0.14%	0.08%	0.1%	0.06%
7	0.13%	0.14%	0.12%	0.07%	0.08%	0.05%
8	0.11%	0.12%	0.1%	0.06%	0.07%	0.04%
9	0.1%	0.11%	0.09%	0.05%	0.07%	0.04%
10	0.1%	0.11%	0.09%	0.05%	0.07%	0.04%
11	0.09%	0.1%	0.09%	0.05%	0.07%	0.04%
12	0.1%	0.1%	0.09%	0.05%	0.07%	0.04%
13	0.1%	0.11%	0.09%	0.06%	0.07%	0.04%
14	0.11%	0.12%	0.1%	0.07%	0.08%	0.05%
15	0.12%	0.14%	0.11%	0.08%	0.1%	0.05%
16	0.14%	0.16%	0.12%	0.09%	0.11%	0.06%
17	0.15%	0.18%	0.13%	0.1%	0.13%	0.07%
18	0.17%	0.2%	0.14%	0.11%	0.14%	0.08%
19	0.19%	0.22%	0.15%	0.12%	0.16%	0.08%
20	0.2%	0.24%	0.16%	0.13%	0.17%	0.09%
21	0.21%	0.25%	0.17%	0.14%	0.18%	0.09%
22	0.22%	0.26%	0.17%	0.14%	0.18%	0.1%
23	0.23%	0.27%	0.18%	0.14%	0.18%	0.1%
24	0.23%	0.28%	0.19%	0.14%	0.18%	0.11%
25	0.24%	0.28%	0.2%	0.15%	0.18%	0.11%
26	0.25%	0.29%	0.2%	0.15%	0.18%	0.11%
27	0.26%	0.29%	0.21%	0.15%	0.18%	0.12%
28	0.26%	0.3%	0.22%	0.15%	0.18%	0.12%
29	0.27%	0.31%	0.23%	0.16%	0.19%	0.13%
30	0.29%	0.32%	0.24%	0.16%	0.19%	0.13%
31	0.29%	0.33%	0.25%	0.17%	0.2%	0.14%
32	0.31%	0.35%	0.27%	0.17%	0.2%	0.14%
33	0.33%	0.37%	0.28%	0.18%	0.21%	0.15%
34	0.34%	0.38%	0.29%	0.19%	0.22%	0.16%
35	0.36%	0.41%	0.31%	0.2%	0.24%	0.17%
36	0.38%	0.43%	0.33%	0.21%	0.25%	0.18%
37	0.4%	0.45%	0.34%	0.23%	0.26%	0.19%
38	0.43%	0.48%	0.37%	0.24%	0.28%	0.2%
39	0.45%	0.5%	0.39%	0.26%	0.3%	0.22%
40	0.49%	0.54%	0.41%	0.28%	0.32%	0.23%
41	0.51%	0.56%	0.43%	0.3%	0.35%	0.25%
42	0.55%	0.61%	0.46%	0.32%	0.38%	0.26%
43	0.57%	0.64%	0.48%	0.35%	0.41%	0.29%
44	0.61%	0.68%	0.51%	0.38%	0.45%	0.31%
45	0.65%	0.73%	0.54%	0.42%	0.49%	0.34%
46	0.69%	0.77%	0.57%	0.45%	0.54%	0.37%
47	0.74%	0.83%	0.61%	0.5%	0.59%	0.4%
48	0.79%	0.89%	0.65%	0.54%	0.64%	0.44%
49	0.85%	0.96%	0.7%	0.59%	0.7%	0.47%
50	0.93%	1.05%	0.76%	0.64%	0.77%	0.51%
51	0.98%	1.11%	0.81%	0.7%	0.84%	0.56%
52	1.07%	1.21%	0.88%	0.76%	0.92%	0.6%
53	1.14%	1.29%	0.94%	0.83%	1.01%	0.65%
54	1.22%	1.38%	1.01%	0.91%	1.11%	0.71%
55	1.3%	1.48%	1.08%	0.99%	1.22%	0.77%
56	1.4%	1.58%	1.17%	1.08%	1.34%	0.84%
57	1.5%	1.7%	1.25%	1.18%	1.47%	0.92%
58	1.62%	1.84%	1.37%	1.29%	1.61%	1%
59	1.75%	1.99%	1.48%	1.41%	1.76%	1.1%
60	1.94%	2.18%	1.65%	1.55%	1.92%	1.2%
61	2.07%	2.33%	1.77%	1.69%	2.09%	1.32%
62	2.28%	2.56%	1.97%	1.85%	2.29%	1.46%
63	2.48%	2.78%	2.15%	2.03%	2.49%	1.61%
64	2.69%	3.02%	2.35%	2.22%	2.72%	1.78%
65	2.94%	3.28%	2.58%	2.45%	2.97%	1.98%
66	3.17%	3.52%	2.8%	2.7%	3.25%	2.2%
67	3.45%	3.83%	3.08%	2.98%	3.56%	2.45%
68	3.78%	4.17%	3.4%	3.28%	3.9%	2.73%
69	4.11%	4.53%	3.72%	3.62%	4.27%	3.04%
70	4.57%	4.99%	4.18%	3.99%	4.68%	3.38%
71	4.91%	5.36%	4.51%	4.4%	5.12%	3.77%
72	5.46%	5.93%	5.04%	4.85%	5.61%	4.19%
73	5.95%	6.45%	5.52%	5.34%	6.14%	4.66%
74	6.52%	7.03%	6.07%	5.88%	6.72%	5.17%
75	7.14%	7.67%	6.67%	6.47%	7.35%	5.73%
76	7.78%	8.32%	7.29%	7.12%	8.05%	6.37%
77	8.44%	9.01%	7.93%	7.85%	8.83%	7.07%
78	9.26%	9.85%	8.74%	8.66%	9.68%	7.87%
79	10%	10.6%	9.49%	9.55%	10.6%	8.76%
80	11%	11.6%	10.5%	10.5%	11.6%	9.74%
81	11.7%	12.4%	11.2%	11.6%	12.7%	10.8%
82	12.9%	13.6%	12.4%	12.7%	13.9%	12%
83	14%	14.7%	13.5%	14%	15.1%	13.2%
84	15.3%	16%	14.8%	15.2%	16.4%	14.4%
85	16.5%	17.2%	16%	16.6%	17.8%	15.8%
86	17.8%	18.5%	17.3%	18%	19.4%	17.1%
87	19.1%	19.8%	18.6%	19.6%	21.1%	18.5%
88	20.5%	21.2%	20%	21.2%	23.1%	20%
89	21.9%	22.5%	21.4%	23%	25.2%	21.6%
90	23.5%	24.1%	23.2%	24.8%	27.4%	23.3%
91	24.8%	25.4%	24.4%	26.8%	29.6%	25.1%
92	26.6%	27.1%	26.2%	28.8%	31.8%	27.2%
93	28.2%	28.7%	27.9%	30.9%	33.9%	29.4%
94	29.9%	30.3%	29.7%	33.1%	35.9%	31.8%
95	31.8%	32.1%	31.6%	35.3%	37.8%	34.2%
96	33.4%	33.7%	33.3%	37.6%	39.7%	36.6%
97	35.1%	35.2%	35%	39.7%	41.6%	38.9%
98	36.6%	36.6%	36.6%	41.8%	43.6%	41%
99	38.5%	38.4%	38.6%	43.7%	45.5%	43%
100	40.1%	39.9%	40.2%	45.9%	47.4%	45.3%

Death rate by age in Equatorial Guinea compared to Laos

In Equatorial Guinea, the most common age of death is 0, compared to 79 in Laos. The median age of death is 71.2 in Equatorial Guinea and 74.6 in Laos — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Equatorial Guinea			Laos
	Total	Male	Female	Total	Male	Female
0	5,077	5,587	4,563	2,902	3,294	2,490
1	736	770	700	235.5	229.8	241.5
2	446	469	423	180.5	188.4	172.1
3	307	324	289.1	139.9	155.1	123.9
4	219.5	231.3	207.2	110.2	128.4	91
5	167.7	177.6	157.6	88.7	107.4	68.9
6	138.8	148.1	129.1	73.3	91.3	54.4
7	118.7	127.7	109.4	62.6	79.2	45.2
8	104.3	112.8	95.5	55.5	70.6	39.7
9	95	103.1	86.6	51.3	65	36.9
10	89.7	97.3	81.9	49.4	62.2	36
11	87.5	94.6	80.2	49.8	62.1	36.8
12	89	96.2	81.5	52.2	64.8	39
13	93.7	101.6	85.5	56.8	70.4	42.5
14	101.9	111.3	92.1	63.4	79	47.1
15	113	124.5	101.1	72.1	90.6	52.8
16	127.7	143.3	111.6	82.4	104.7	59.1
17	142.1	162.9	120.7	93.5	120.1	65.8
18	157.5	183.8	130.2	104.6	135.5	72.3
19	170	200.7	138.2	114.5	149.2	78.4
20	181.6	215.4	145.7	122.8	160	83.8
21	191.4	227.4	152.1	129	167.5	88.6
22	199.8	236.6	158.9	133.1	171.6	92.9
23	206.7	243	165.6	135.6	172.8	96.9
24	212.7	247.8	172.6	137.1	172.2	100.7
25	217.8	251.4	179.2	138.3	170.7	104.4
26	223.5	255.4	186.4	139.6	169.4	108.2
27	229.6	260.2	193.8	141.1	168.9	112
28	237.1	266.7	202.2	143.4	169.9	116
29	244.6	274	209.7	146.8	172.4	120.4
30	255.3	284.5	220.3	151.3	176.6	125.1
31	262.4	291.9	226.5	156.8	182.3	130.4
32	276.6	307	239.6	163.2	189.2	136.4
33	289.1	319	250.9	170.6	197.2	143.1
34	303	334	263.3	179	206.3	150.7
35	319	351	277.4	188.3	216.5	159.1
36	336	368	291.8	198.9	228	168.4
37	352	386	306	210.6	241.2	178.5
38	374	408	325	223.7	256.3	189.5
39	393	428	341	238.4	273.6	201.5
40	418	456	363	255.1	293.4	214.7
41	435	474	375	274	316	229.6
42	465	507	401	295.5	342	246.5
43	487	532	418	320	371	265.8
44	514	562	439	347	403	287.5
45	546	599	464	377	438	312
46	574	631	487	410	477	338
47	610	671	514	445	519	367
48	652	718	551	483	564	397
49	694	766	585	524	613	430
50	749	825	634	567	665	464
51	785	865	664	614	722	500
52	847	930	721	664	784	539
53	893	982	763	719	852	581
54	946	1,039	813	779	926	627
55	997	1,094	862	843	1,005	676
56	1,056	1,157	919	911	1,090	730
57	1,114	1,219	975	985	1,180	790
58	1,191	1,300	1,051	1,065	1,273	856
59	1,265	1,378	1,124	1,149	1,370	928
60	1,371	1,484	1,234	1,239	1,470	1,007
61	1,437	1,551	1,298	1,334	1,573	1,094
62	1,552	1,665	1,417	1,435	1,680	1,190
63	1,647	1,759	1,517	1,543	1,792	1,296
64	1,747	1,855	1,625	1,658	1,907	1,412
65	1,855	1,956	1,744	1,783	2,027	1,538
66	1,940	2,033	1,844	1,919	2,150	1,675
67	2,048	2,132	1,968	2,059	2,276	1,823
68	2,164	2,234	2,105	2,203	2,404	1,981
69	2,266	2,322	2,227	2,350	2,531	2,148
70	2,415	2,446	2,409	2,499	2,654	2,321
71	2,476	2,494	2,489	2,645	2,772	2,496
72	2,616	2,611	2,656	2,786	2,879	2,672
73	2,699	2,671	2,762	2,918	2,975	2,844
74	2,780	2,726	2,871	3,040	3,056	3,009
75	2,846	2,762	2,964	3,149	3,120	3,166
76	2,878	2,769	3,020	3,243	3,167	3,314
77	2,882	2,749	3,049	3,319	3,191	3,448
78	2,894	2,734	3,094	3,374	3,191	3,564
79	2,840	2,662	3,065	3,401	3,160	3,654
80	2,802	2,598	3,060	3,392	3,093	3,708
81	2,667	2,455	2,937	3,341	2,988	3,715
82	2,592	2,359	2,884	3,244	2,844	3,665
83	2,449	2,203	2,751	3,099	2,665	3,555
84	2,295	2,041	2,600	2,912	2,460	3,384
85	2,096	1,838	2,398	2,688	2,235	3,159
86	1,891	1,639	2,182	2,437	2,000	2,891
87	1,667	1,429	1,939	2,168	1,758	2,593
88	1,447	1,226	1,698	1,890	1,514	2,280
89	1,227	1,028	1,452	1,612	1,271	1,967
90	1,033	854	1,234	1,342	1,034	1,663
91	831	681	999	1,088	813	1,379
92	670	543	811	858	615	1,117
93	523	419	637	656	447	880
94	398	316	488	485	313	672
95	296.2	233	365	347	211.6	493
96	212.9	166.1	263.8	238.3	138.3	347
97	148.5	115.2	184.9	157.3	87.4	234
98	100.7	77.8	125.8	99.7	53.4	150.8
99	67.1	51.7	84.1	60.7	31.5	93.2
100	0	0	0	0	0	0

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 Laos 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 Laos: Profiles in Numbers

By topic vs comparisons:

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