Life Expectancy in Equatorial Guinea vs Tanzania (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 Tanzania: 70.9 years vs 71.7 at 30, 78.2 vs 79.8 at 65, 85.8 vs 87.3 at 80 — significantly higher than the 64.1 vs 67.4 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 Tanzania.

Table

Current age, years	Total life expectancy, years
	Equatorial Guinea			Tanzania
	Average	Male	Female	Average	Male	Female
0	64.1	62.4	66.1	67.4	64.6	70.2
1	67.5	66.1	69.3	69.3	66.6	72
2	68	66.6	69.8	69.6	66.9	72.3
3	68.3	66.9	70.1	69.8	67.1	72.4
4	68.6	67.2	70.3	69.9	67.2	72.6
5	68.7	67.3	70.4	70	67.3	72.7
6	68.8	67.4	70.5	70.1	67.3	72.7
7	68.9	67.5	70.6	70.1	67.4	72.8
8	69	67.6	70.7	70.2	67.4	72.8
9	69.1	67.7	70.7	70.2	67.5	72.9
10	69.1	67.7	70.8	70.2	67.5	72.9
11	69.2	67.8	70.8	70.3	67.6	72.9
12	69.2	67.9	70.9	70.3	67.6	73
13	69.3	67.9	71	70.3	67.6	73
14	69.3	68	71	70.4	67.7	73
15	69.4	68.1	71.1	70.4	67.7	73.1
16	69.5	68.1	71.1	70.5	67.8	73.1
17	69.5	68.2	71.2	70.5	67.8	73.2
18	69.6	68.3	71.3	70.6	67.9	73.2
19	69.7	68.4	71.3	70.7	68	73.3
20	69.8	68.5	71.4	70.8	68.1	73.4
21	69.9	68.6	71.5	70.8	68.2	73.4
22	70	68.7	71.6	70.9	68.3	73.5
23	70.1	68.9	71.7	71	68.4	73.6
24	70.2	69	71.7	71.1	68.5	73.6
25	70.3	69.1	71.8	71.2	68.6	73.7
26	70.4	69.2	71.9	71.3	68.7	73.8
27	70.5	69.4	72	71.4	68.8	73.9
28	70.7	69.5	72.1	71.5	69	74
29	70.8	69.6	72.2	71.6	69.1	74.1
30	70.9	69.7	72.3	71.7	69.2	74.2
31	71	69.8	72.4	71.9	69.3	74.3
32	71.1	70	72.5	72	69.5	74.4
33	71.2	70.1	72.6	72.1	69.6	74.5
34	71.4	70.2	72.7	72.2	69.7	74.6
35	71.5	70.4	72.8	72.4	69.9	74.7
36	71.6	70.5	73	72.5	70.1	74.9
37	71.8	70.7	73.1	72.7	70.2	75
38	71.9	70.8	73.2	72.8	70.4	75.1
39	72	71	73.3	73	70.6	75.3
40	72.2	71.1	73.5	73.1	70.7	75.4
41	72.3	71.3	73.6	73.3	70.9	75.5
42	72.5	71.5	73.7	73.5	71.1	75.7
43	72.7	71.6	73.9	73.7	71.3	75.9
44	72.8	71.8	74	73.8	71.5	76
45	73	72	74.2	74	71.7	76.2
46	73.2	72.2	74.3	74.2	71.9	76.4
47	73.4	72.4	74.5	74.4	72.2	76.5
48	73.6	72.6	74.7	74.7	72.4	76.7
49	73.8	72.8	74.8	74.9	72.7	76.9
50	74	73.1	75	75.1	72.9	77.1
51	74.2	73.3	75.2	75.4	73.2	77.3
52	74.4	73.5	75.4	75.6	73.5	77.6
53	74.6	73.8	75.6	75.9	73.7	77.8
54	74.9	74.1	75.8	76.1	74	78
55	75.1	74.3	76	76.4	74.3	78.3
56	75.4	74.6	76.2	76.7	74.7	78.5
57	75.7	74.9	76.5	77	75	78.8
58	75.9	75.2	76.7	77.3	75.3	79.1
59	76.2	75.5	77	77.6	75.7	79.4
60	76.5	75.9	77.2	78	76	79.6
61	76.9	76.2	77.5	78.3	76.4	80
62	77.2	76.5	77.8	78.7	76.8	80.3
63	77.5	76.9	78.1	79	77.2	80.6
64	77.9	77.3	78.4	79.4	77.6	81
65	78.2	77.7	78.8	79.8	78	81.4
66	78.6	78.1	79.1	80.3	78.5	81.7
67	79	78.5	79.5	80.7	78.9	82.1
68	79.4	79	79.9	81.1	79.4	82.6
69	79.9	79.4	80.3	81.6	79.8	83
70	80.3	79.9	80.7	82	80.3	83.4
71	80.8	80.4	81.1	82.5	80.8	83.9
72	81.3	80.9	81.6	83	81.3	84.3
73	81.8	81.4	82.1	83.5	81.9	84.8
74	82.3	82	82.6	84	82.4	85.3
75	82.8	82.5	83.1	84.5	83	85.7
76	83.4	83.1	83.6	85	83.5	86.2
77	84	83.7	84.2	85.6	84.1	86.8
78	84.6	84.3	84.8	86.2	84.7	87.3
79	85.2	85	85.4	86.7	85.3	87.8
80	85.8	85.6	86	87.3	86	88.3
81	86.5	86.3	86.6	87.9	86.6	88.9
82	87.2	87	87.3	88.5	87.3	89.4
83	87.8	87.7	88	89.2	87.9	90
84	88.6	88.4	88.7	89.9	88.7	90.6
85	89.3	89.2	89.4	90.5	89.4	91.2
86	90	89.9	90.1	91.3	90.1	91.9
87	90.8	90.7	90.9	92	90.9	92.5
88	91.6	91.5	91.6	92.7	91.7	93.2
89	92.4	92.3	92.4	93.5	92.5	93.9
90	93.2	93.1	93.2	94.3	93.3	94.6
91	94	94	94	95	94.1	95.4
92	94.8	94.8	94.9	95.8	94.9	96.1
93	95.7	95.6	95.7	96.6	95.8	96.9
94	96.5	96.5	96.5	97.4	96.6	97.7
95	97.4	97.4	97.4	98.3	97.5	98.4
96	98.3	98.3	98.3	99.1	98.4	99.3
97	99.2	99.2	99.2	100	99.2	100.1
98	100.1	100	100.1	100.8	100.1	100.9
99	101	100.9	101	101.7	101	101.7
100	101.9	101.8	101.9	102.5	101.9	102.6

Odds of living to age in Equatorial Guinea vs Tanzania

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 70.9% in Equatorial Guinea and 73% in Tanzania are expected to survive till at least 60 years old, 52.8% and 55.3% will live to 70 years or older, 25.5% and 31.1% to 80+ years, and 4.39% and 8.68% 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			Tanzania
	Average	Male	Female	Average	Male	Female
1	94.9%	94.4%	95.4%	97.2%	97%	97.6%
2	94.2%	93.6%	94.7%	96.8%	96.5%	97.1%
3	93.7%	93.2%	94.3%	96.6%	96.3%	96.9%
4	93.4%	92.8%	94%	96.4%	96.1%	96.7%
5	93.2%	92.6%	93.8%	96.3%	96%	96.6%
6	93%	92.4%	93.7%	96.2%	95.9%	96.5%
7	92.9%	92.3%	93.5%	96.1%	95.8%	96.4%
8	92.8%	92.2%	93.4%	96%	95.7%	96.4%
9	92.7%	92.1%	93.3%	96%	95.6%	96.3%
10	92.6%	91.9%	93.2%	95.9%	95.6%	96.3%
11	92.5%	91.9%	93.2%	95.8%	95.5%	96.2%
12	92.4%	91.8%	93.1%	95.8%	95.4%	96.1%
13	92.3%	91.7%	93%	95.7%	95.4%	96.1%
14	92.2%	91.6%	92.9%	95.7%	95.3%	96%
15	92.1%	91.4%	92.8%	95.6%	95.2%	96%
16	92%	91.3%	92.7%	95.5%	95.1%	95.9%
17	91.9%	91.2%	92.6%	95.4%	95%	95.8%
18	91.7%	91%	92.5%	95.3%	94.9%	95.7%
19	91.6%	90.8%	92.4%	95.1%	94.7%	95.6%
20	91.4%	90.6%	92.2%	95%	94.5%	95.5%
21	91.2%	90.4%	92.1%	94.8%	94.3%	95.4%
22	91%	90.2%	91.9%	94.7%	94.1%	95.2%
23	90.8%	90%	91.8%	94.5%	93.9%	95.1%
24	90.6%	89.7%	91.6%	94.3%	93.7%	94.9%
25	90.4%	89.5%	91.4%	94.1%	93.5%	94.8%
26	90.2%	89.2%	91.2%	93.9%	93.2%	94.6%
27	90%	89%	91.1%	93.7%	93%	94.4%
28	89.8%	88.7%	90.9%	93.5%	92.7%	94.3%
29	89.5%	88.4%	90.7%	93.2%	92.4%	94.1%
30	89.3%	88.2%	90.5%	93%	92.1%	93.9%
31	89%	87.9%	90.2%	92.7%	91.8%	93.6%
32	88.8%	87.6%	90%	92.4%	91.5%	93.4%
33	88.5%	87.3%	89.8%	92.1%	91.1%	93.2%
34	88.2%	87%	89.5%	91.8%	90.8%	92.9%
35	87.9%	86.6%	89.3%	91.5%	90.4%	92.6%
36	87.6%	86.3%	89%	91.2%	90%	92.3%
37	87.2%	85.9%	88.7%	90.8%	89.6%	92%
38	86.9%	85.5%	88.4%	90.4%	89.1%	91.7%
39	86.5%	85.1%	88.1%	90%	88.6%	91.4%
40	86.1%	84.7%	87.7%	89.6%	88.1%	91%
41	85.7%	84.2%	87.3%	89.1%	87.6%	90.6%
42	85.3%	83.7%	87%	88.6%	87%	90.2%
43	84.8%	83.2%	86.6%	88.1%	86.4%	89.8%
44	84.3%	82.7%	86.2%	87.6%	85.8%	89.3%
45	83.8%	82.1%	85.7%	87%	85.1%	88.9%
46	83.2%	81.5%	85.2%	86.4%	84.4%	88.4%
47	82.7%	80.9%	84.8%	85.7%	83.7%	87.8%
48	82.1%	80.2%	84.2%	85.1%	82.9%	87.3%
49	81.4%	79.5%	83.7%	84.3%	82%	86.7%
50	80.7%	78.8%	83.1%	83.6%	81.1%	86%
51	80%	77.9%	82.5%	82.7%	80.1%	85.3%
52	79.2%	77.1%	81.8%	81.9%	79.1%	84.6%
53	78.3%	76.1%	81.1%	81%	78.1%	83.8%
54	77.4%	75.2%	80.3%	80%	76.9%	83%
55	76.5%	74.1%	79.5%	79%	75.8%	82.2%
56	75.5%	73%	78.7%	77.9%	74.5%	81.3%
57	74.4%	71.9%	77.7%	76.7%	73.2%	80.3%
58	73.3%	70.6%	76.8%	75.6%	71.9%	79.3%
59	72.1%	69.3%	75.7%	74.3%	70.4%	78.2%
60	70.9%	68%	74.6%	73%	68.9%	77.1%
61	69.5%	66.5%	73.4%	71.5%	67.3%	75.8%
62	68.1%	64.9%	72.1%	70.1%	65.6%	74.5%
63	66.5%	63.3%	70.6%	68.5%	63.8%	73.1%
64	64.9%	61.5%	69.1%	66.8%	61.9%	71.6%
65	63.1%	59.7%	67.5%	65%	59.9%	70.1%
66	61.3%	57.7%	65.8%	63.2%	57.9%	68.3%
67	59.3%	55.7%	63.9%	61.3%	55.8%	66.6%
68	57.3%	53.5%	61.9%	59.4%	53.6%	64.8%
69	55.1%	51.3%	59.8%	57.3%	51.4%	62.9%
70	52.8%	49%	57.6%	55.3%	49.1%	61%
71	50.4%	46.5%	55.2%	53.1%	46.8%	58.9%
72	48%	44%	52.7%	50.9%	44.4%	56.9%
73	45.3%	41.4%	50.1%	48.6%	41.9%	54.7%
74	42.6%	38.8%	47.3%	46.2%	39.3%	52.4%
75	39.9%	36%	44.4%	43.8%	36.7%	50.2%
76	37%	33.3%	41.5%	41.3%	34.1%	47.8%
77	34.1%	30.5%	38.4%	38.8%	31.5%	45.4%
78	31.3%	27.8%	35.4%	36.2%	28.9%	43%
79	28.4%	25%	32.3%	33.7%	26.3%	40.6%
80	25.5%	22.4%	29.2%	31.1%	23.7%	38.2%
81	22.7%	19.8%	26.2%	28.6%	21.2%	35.7%
82	20.1%	17.3%	23.2%	26.1%	18.8%	33.3%
83	17.5%	14.9%	20.3%	23.6%	16.4%	30.7%
84	15%	12.7%	17.6%	21.1%	14.2%	28.1%
85	12.7%	10.7%	15%	18.7%	12%	25.5%
86	10.6%	8.86%	12.6%	16.4%	10.1%	22.9%
87	8.73%	7.22%	10.4%	14.2%	8.34%	20.3%
88	7.06%	5.79%	8.48%	12.2%	6.78%	17.9%
89	5.62%	4.57%	6.78%	10.3%	5.43%	15.6%
90	4.39%	3.54%	5.33%	8.68%	4.27%	13.4%
91	3.36%	2.69%	4.09%	7.17%	3.29%	11.3%
92	2.52%	2.01%	3.09%	5.87%	2.5%	9.52%
93	1.85%	1.46%	2.28%	4.73%	1.85%	7.86%
94	1.33%	1.04%	1.65%	3.76%	1.35%	6.39%
95	0.93%	0.73%	1.16%	2.94%	0.96%	5.11%
96	0.64%	0.49%	0.79%	2.25%	0.66%	4%
97	0.42%	0.33%	0.53%	1.7%	0.45%	3.08%
98	0.28%	0.21%	0.34%	1.26%	0.3%	2.34%
99	0.17%	0.13%	0.22%	0.93%	0.19%	1.74%
100	0.11%	0.08%	0.13%	0.66%	0.12%	1.27%

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 2.75% in Tanzania, 0.29% vs 0.28% at age 30, 1.94% vs 1.95% at 60, and 11% vs 8.15% at 80.

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

Table

Age	Probability of dying
	Equatorial Guinea			Tanzania
	Average	Male	Female	Average	Male	Female
0	5.08%	5.59%	4.56%	2.75%	3.05%	2.45%
1	0.77%	0.82%	0.73%	0.42%	0.41%	0.42%
2	0.47%	0.5%	0.45%	0.26%	0.27%	0.25%
3	0.33%	0.35%	0.31%	0.18%	0.19%	0.17%
4	0.23%	0.25%	0.22%	0.13%	0.14%	0.13%
5	0.18%	0.19%	0.17%	0.1%	0.11%	0.1%
6	0.15%	0.16%	0.14%	0.09%	0.09%	0.08%
7	0.13%	0.14%	0.12%	0.08%	0.08%	0.07%
8	0.11%	0.12%	0.1%	0.07%	0.07%	0.06%
9	0.1%	0.11%	0.09%	0.06%	0.07%	0.06%
10	0.1%	0.11%	0.09%	0.06%	0.07%	0.06%
11	0.09%	0.1%	0.09%	0.06%	0.07%	0.06%
12	0.1%	0.1%	0.09%	0.06%	0.07%	0.06%
13	0.1%	0.11%	0.09%	0.07%	0.08%	0.06%
14	0.11%	0.12%	0.1%	0.08%	0.09%	0.07%
15	0.12%	0.14%	0.11%	0.09%	0.1%	0.08%
16	0.14%	0.16%	0.12%	0.11%	0.12%	0.09%
17	0.15%	0.18%	0.13%	0.12%	0.14%	0.1%
18	0.17%	0.2%	0.14%	0.14%	0.17%	0.11%
19	0.19%	0.22%	0.15%	0.15%	0.19%	0.12%
20	0.2%	0.24%	0.16%	0.17%	0.2%	0.13%
21	0.21%	0.25%	0.17%	0.18%	0.22%	0.14%
22	0.22%	0.26%	0.17%	0.19%	0.23%	0.15%
23	0.23%	0.27%	0.18%	0.2%	0.24%	0.16%
24	0.23%	0.28%	0.19%	0.21%	0.25%	0.16%
25	0.24%	0.28%	0.2%	0.22%	0.26%	0.17%
26	0.25%	0.29%	0.2%	0.23%	0.27%	0.19%
27	0.26%	0.29%	0.21%	0.24%	0.29%	0.2%
28	0.26%	0.3%	0.22%	0.25%	0.3%	0.21%
29	0.27%	0.31%	0.23%	0.27%	0.32%	0.22%
30	0.29%	0.32%	0.24%	0.28%	0.33%	0.23%
31	0.29%	0.33%	0.25%	0.3%	0.35%	0.24%
32	0.31%	0.35%	0.27%	0.32%	0.37%	0.26%
33	0.33%	0.37%	0.28%	0.33%	0.39%	0.28%
34	0.34%	0.38%	0.29%	0.36%	0.42%	0.29%
35	0.36%	0.41%	0.31%	0.38%	0.45%	0.31%
36	0.38%	0.43%	0.33%	0.4%	0.47%	0.33%
37	0.4%	0.45%	0.34%	0.43%	0.51%	0.35%
38	0.43%	0.48%	0.37%	0.46%	0.54%	0.38%
39	0.45%	0.5%	0.39%	0.48%	0.57%	0.4%
40	0.49%	0.54%	0.41%	0.52%	0.61%	0.43%
41	0.51%	0.56%	0.43%	0.54%	0.64%	0.45%
42	0.55%	0.61%	0.46%	0.58%	0.69%	0.48%
43	0.57%	0.64%	0.48%	0.61%	0.73%	0.5%
44	0.61%	0.68%	0.51%	0.65%	0.78%	0.53%
45	0.65%	0.73%	0.54%	0.7%	0.84%	0.57%
46	0.69%	0.77%	0.57%	0.74%	0.89%	0.6%
47	0.74%	0.83%	0.61%	0.79%	0.95%	0.64%
48	0.79%	0.89%	0.65%	0.85%	1.02%	0.69%
49	0.85%	0.96%	0.7%	0.91%	1.1%	0.74%
50	0.93%	1.05%	0.76%	0.99%	1.19%	0.8%
51	0.98%	1.11%	0.81%	1.05%	1.26%	0.84%
52	1.07%	1.21%	0.88%	1.13%	1.35%	0.91%
53	1.14%	1.29%	0.94%	1.2%	1.44%	0.97%
54	1.22%	1.38%	1.01%	1.28%	1.54%	1.03%
55	1.3%	1.48%	1.08%	1.36%	1.64%	1.1%
56	1.4%	1.58%	1.17%	1.46%	1.75%	1.18%
57	1.5%	1.7%	1.25%	1.55%	1.87%	1.26%
58	1.62%	1.84%	1.37%	1.67%	2.01%	1.36%
59	1.75%	1.99%	1.48%	1.79%	2.16%	1.46%
60	1.94%	2.18%	1.65%	1.95%	2.36%	1.6%
61	2.07%	2.33%	1.77%	2.08%	2.51%	1.71%
62	2.28%	2.56%	1.97%	2.26%	2.74%	1.88%
63	2.48%	2.78%	2.15%	2.43%	2.94%	2.04%
64	2.69%	3.02%	2.35%	2.63%	3.17%	2.22%
65	2.94%	3.28%	2.58%	2.84%	3.43%	2.43%
66	3.17%	3.52%	2.8%	2.99%	3.63%	2.56%
67	3.45%	3.83%	3.08%	3.18%	3.87%	2.72%
68	3.78%	4.17%	3.4%	3.4%	4.15%	2.9%
69	4.11%	4.53%	3.72%	3.62%	4.44%	3.08%
70	4.57%	4.99%	4.18%	3.94%	4.83%	3.36%
71	4.91%	5.36%	4.51%	4.16%	5.13%	3.51%
72	5.46%	5.93%	5.04%	4.54%	5.61%	3.83%
73	5.95%	6.45%	5.52%	4.88%	6.05%	4.08%
74	6.52%	7.03%	6.07%	5.26%	6.56%	4.37%
75	7.14%	7.67%	6.67%	5.69%	7.11%	4.69%
76	7.78%	8.32%	7.29%	6.1%	7.69%	4.97%
77	8.44%	9.01%	7.93%	6.51%	8.3%	5.26%
78	9.26%	9.85%	8.74%	7.07%	9.07%	5.67%
79	10%	10.6%	9.49%	7.53%	9.77%	5.97%
80	11%	11.6%	10.5%	8.15%	10.7%	6.42%
81	11.7%	12.4%	11.2%	8.65%	11.4%	6.81%
82	12.9%	13.6%	12.4%	9.65%	12.6%	7.71%
83	14%	14.7%	13.5%	10.5%	13.7%	8.48%
84	15.3%	16%	14.8%	11.5%	15%	9.39%
85	16.5%	17.2%	16%	12.3%	16.1%	10.2%
86	17.8%	18.5%	17.3%	13.3%	17.4%	11.1%
87	19.1%	19.8%	18.6%	14.2%	18.6%	12%
88	20.5%	21.2%	20%	15.2%	20%	13%
89	21.9%	22.5%	21.4%	16.1%	21.3%	13.9%
90	23.5%	24.1%	23.2%	17.4%	22.9%	15.4%
91	24.8%	25.4%	24.4%	18.1%	24.1%	16%
92	26.6%	27.1%	26.2%	19.4%	25.8%	17.5%
93	28.2%	28.7%	27.9%	20.6%	27.3%	18.7%
94	29.9%	30.3%	29.7%	21.8%	29%	20.1%
95	31.8%	32.1%	31.6%	23.3%	30.8%	21.6%
96	33.4%	33.7%	33.3%	24.5%	32.4%	23%
97	35.1%	35.2%	35%	25.7%	33.9%	24.3%
98	36.6%	36.6%	36.6%	26.8%	35.4%	25.5%
99	38.5%	38.4%	38.6%	28.3%	37.1%	27.1%
100	40.1%	39.9%	40.2%	29.4%	38.6%	28.4%

Death rate by age in Equatorial Guinea compared to Tanzania

In Equatorial Guinea, the most common age of death is 0, compared to 0 in Tanzania. The median age of death is 71.2 in Equatorial Guinea and 72.4 in Tanzania — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Equatorial Guinea			Tanzania
	Total	Male	Female	Total	Male	Female
0	5,077	5,587	4,563	2,753	3,049	2,450
1	736	770	700	404	402	406
2	446	469	423	251.9	256.7	247
3	307	324	289.1	174.5	180.3	168.6
4	219.5	231.3	207.2	127.9	133.3	122.4
5	167.7	177.6	157.6	98.4	103	93.7
6	138.8	148.1	129.1	83.2	88.4	77.9
7	118.7	127.7	109.4	73.6	79.1	67.8
8	104.3	112.8	95.5	65.9	71.4	60.3
9	95	103.1	86.6	61.1	66.2	55.8
10	89.7	97.3	81.9	58.8	64	53.6
11	87.5	94.6	80.2	59	64.8	53
12	89	96.2	81.5	61.3	67.5	55
13	93.7	101.6	85.5	66.4	73.1	59.7
14	101.9	111.3	92.1	74.9	83.2	66.4
15	113	124.5	101.1	86.8	97.5	76
16	127.7	143.3	111.6	101	115.8	85.8
17	142.1	162.9	120.7	116.6	137	95.8
18	157.5	183.8	130.2	133.3	160	106.1
19	170	200.7	138.2	145.8	176	115.1
20	181.6	215.4	145.7	157.6	190.8	123.9
21	191.4	227.4	152.1	167.4	204.1	130.3
22	199.8	236.6	158.9	177.9	216.4	138.9
23	206.7	243	165.6	187.6	227.2	147.4
24	212.7	247.8	172.6	196.8	236.7	156.4
25	217.8	251.4	179.2	206.2	246.7	165.2
26	223.5	255.4	186.4	216	256.1	175.3
27	229.6	260.2	193.8	226.9	267.4	185.7
28	237.1	266.7	202.2	238	279.4	195.7
29	244.6	274	209.7	250.1	292.4	207
30	255.3	284.5	220.3	264.2	309	219
31	262.4	291.9	226.5	275.1	322	227.9
32	276.6	307	239.6	292.4	341	243.4
33	289.1	319	250.9	309	359	257.1
34	303	334	263.3	327	381	272.3
35	319	351	277.4	348	405	290.7
36	336	368	291.8	367	427	307
37	352	386	306	388	453	324
38	374	408	325	412	480	345
39	393	428	341	435	507	364
40	418	456	363	463	540	387
41	435	474	375	483	565	405
42	465	507	401	514	601	430
43	487	532	418	541	633	452
44	514	562	439	571	670	476
45	546	599	464	607	713	506
46	574	631	487	640	752	533
47	610	671	514	680	798	565
48	652	718	551	725	849	603
49	694	766	585	770	900	641
50	749	825	634	826	963	688
51	785	865	664	865	1,007	719
52	847	930	721	923	1,070	770
53	893	982	763	971	1,123	810
54	946	1,039	813	1,023	1,181	856
55	997	1,094	862	1,077	1,241	903
56	1,056	1,157	919	1,134	1,301	956
57	1,114	1,219	975	1,192	1,366	1,010
58	1,191	1,300	1,051	1,262	1,443	1,077
59	1,265	1,378	1,124	1,331	1,520	1,143
60	1,371	1,484	1,234	1,424	1,623	1,235
61	1,437	1,551	1,298	1,486	1,691	1,300
62	1,552	1,665	1,417	1,584	1,794	1,403
63	1,647	1,759	1,517	1,666	1,878	1,494
64	1,747	1,855	1,625	1,754	1,965	1,594
65	1,855	1,956	1,744	1,849	2,053	1,704
66	1,940	2,033	1,844	1,890	2,099	1,748
67	2,048	2,132	1,968	1,949	2,160	1,810
68	2,164	2,234	2,105	2,016	2,225	1,880
69	2,266	2,322	2,227	2,074	2,282	1,938
70	2,415	2,446	2,409	2,177	2,372	2,046
71	2,476	2,494	2,489	2,208	2,399	2,071
72	2,616	2,611	2,656	2,312	2,490	2,176
73	2,699	2,671	2,762	2,370	2,534	2,231
74	2,780	2,726	2,871	2,432	2,579	2,292
75	2,846	2,762	2,964	2,490	2,614	2,351
76	2,878	2,769	3,020	2,516	2,625	2,375
77	2,882	2,749	3,049	2,525	2,615	2,391
78	2,894	2,734	3,094	2,561	2,620	2,440
79	2,840	2,662	3,065	2,536	2,568	2,424
80	2,802	2,598	3,060	2,537	2,529	2,450
81	2,667	2,455	2,937	2,475	2,414	2,432
82	2,592	2,359	2,884	2,522	2,367	2,568
83	2,449	2,203	2,751	2,478	2,247	2,604
84	2,295	2,041	2,600	2,428	2,120	2,641
85	2,096	1,838	2,398	2,310	1,935	2,606
86	1,891	1,639	2,182	2,179	1,756	2,543
87	1,667	1,429	1,939	2,017	1,555	2,439
88	1,447	1,226	1,698	1,854	1,358	2,329
89	1,227	1,028	1,452	1,665	1,157	2,168
90	1,033	854	1,234	1,512	978	2,057
91	831	681	999	1,295	792	1,816
92	670	543	811	1,141	645	1,664
93	523	419	637	973	507	1,470
94	398	316	488	821	391	1,282
95	296.2	233	365	684	294.4	1,104
96	212.9	166.1	263.8	552	214.4	919
97	148.5	115.2	184.9	437	151.9	748
98	100.7	77.8	125.8	339	104.8	595
99	67.1	51.7	84.1	262	71	472
100	0	0	0	137.4	0.37	291.4

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 Tanzania 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 Tanzania: Statistical Insights

By topic vs comparisons:

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